notebooks/data-exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1201cfa8",
   "metadata": {},
   "source": [
    "# Amazon Personalize Kickstart - Data exploration\n",
    "The goal of the Amazon Personalize kickstart, is to provide you a kickstart for your personalization journey when building a recommendation engine based on Amazon Personalize. It will serve you as a reference implementation you can both learn the concepts and integration aspects of Amazon Personalize. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9ba40bc",
   "metadata": {},
   "source": [
    "## What do we want to achieve?\n",
    "We want to build a recommendation engine covering all features of Amazon Personalize. The dataset we will use is the publicly available MovieLens dataset. \n",
    "\n",
    "> GroupLens Research has collected and made available rating data sets from the MovieLens web site (https://movielens.org). The data sets were collected over various periods of time, depending on the size of the set. Before using these data sets, please review their README files for the usage licenses and other details.\n",
    "\n",
    "Source: https://grouplens.org/datasets/movielens/\n",
    "\n",
    "The MovieLens dataset contains 25 million movie ratings and a rich set of movie metadata. We will use this data to provide an initial version of our recommendation engine based on historical data. In the next section it is all about analyizing the data to get a better understanding of data quality as well our domain. Next we have to prepare the data and transform it into a format Amazon Personalize can process and understand. We will cover things like what kind of data is required for Amazon Personalize and how to define data schemas. \n",
    "\n",
    "Before you just import your historical data, it is recommended to gather knowledge. Both on your data and on your business domain. \n",
    "Every recommendation engine project is kind of unique if we look at the data we have to process and the way the business works. In a very first step during a proof-of-concept phase, it is all about finding answers on:\n",
    " * What data can we use?\n",
    " * What data do we need?\n",
    " * Is our data quality sufficient?\n",
    " * How do we access the required data?\n",
    " * How do we identify users, interaction or items we want to recommend?\n",
    " \n",
    "Collaborative sessions with subject matter experts help us in building an optimal solution along the given circumstances. Well in our kickstart project, unfortunately there are no subject matter experts available right now. But let us start with what we have ☺️ Data! \n",
    "\n",
    "Those analyses are both inspired from my personal experiences as well as a lot of cool stuff of the open source community like the following:\n",
    "* [Analysis on the Movie Lens dataset using pandas](https://notebook.community/harishkrao/DSE200x/Mini%20Project/Analysis%20on%20the%20Movie%20Lens%20dataset)\n",
    "* [Amazon Personalize immersion day](https://personalization-immersionday.workshop.aws/en/)\n",
    "* [Analysis of MovieLens dataset (Beginner'sAnalysis)](https://www.kaggle.com/jneupane12/analysis-of-movielens-dataset-beginner-sanalysis)\n",
    "* [Data Analysis using the MovieLens dataset with pandas](https://www.youtube.com/watch?v=8kElv1sticI)\n",
    "* [Comprehensive Data Visualization with Matplotlib](https://towardsdatascience.com/comprehensive-data-explorations-with-matplotlib-a388be12a355)\n",
    "\n",
    "My goal is to not reinvent the wheel at all. But bring all relevant analyses in one place that help us to judge if our data fit to be used for a recommendation engine based on Amazon Personalize. I will cite the source of each analysis in the following parts. If you don't find any cross reference, the analysis bases on my own experiences which you can of course adapt or reuse.\n",
    "\n",
    "Before you start with your analysis. It is recommended to define some key questions you would like to answer using data analysis. By analyzing the Movielens datasets we want to answer some very specific questions about our movie business:\n",
    "* [What are the top 10 most rated movies?](#What-are-the-top-10-most-rated-movies?)\n",
    "* [Are ratings in general more positive or negative?](#Are-ratings-in-general-more-positive-or-negative?)\n",
    "* [Is there a correlation between genres?](#Is-there-a-correlation-between-genres?)\n",
    "* [Are there some genres more dominant compared to others?](#Are-there-some-genres-more-dominant-compared-to-others?)\n",
    "* [What is the distribution of the release years of our movies?](#What-is-the-distribution-of-the-release-years-of-our-movies?)\n",
    "* [What is the distribution of genres per release year?](#What-is-the-distribution-of-genres-per-release-year?)\n",
    "* [How many movies does a user rate?](#How-many-movies-does-a-user-rate?)\n",
    "\n",
    "Finally we want to come to some conclusions with regards to Amazon Personalize.\n",
    "* [Can we transform our data to a schema Amazon Personalize is able to process?](#Can-we-transform-our-data-to-a-schema-Amazon-Personalize-is-able-to-process?)\n",
    "* [Do we have enough data to train a model using Amazon Personalize?](#Do-we-have-enough-data-to-train-a-model-using-Amazon-Personalize)\n",
    "\n",
    "So let us get started and dive into our dataset. 🕵️"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9635b9a7",
   "metadata": {},
   "source": [
    "## General setup\n",
    "### Imports and declarations\n",
    "First let us import some required python libraries for the following steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e468fdb1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘movielens’: File exists\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "import pandas as pd\n",
    "\n",
    "data_dir = \"movielens\"\n",
    "dataset_dir = data_dir + \"/ml-latest-small/\"\n",
    "!mkdir $data_dir"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85cdbc6b",
   "metadata": {},
   "source": [
    "### Download the MovieLens dataset\n",
    "Our very first step is to download the sample dataset. We will save the data directly onto the Amazon EBS instance attached to instance running this Jupyter notebook for our initial analysis. After you downloaded the files, you will see them in your notebook file browser on the left side. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c25015eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-10-07 12:26:43--  http://files.grouplens.org/datasets/movielens/ml-latest-small.zip\n",
      "Resolving files.grouplens.org (files.grouplens.org)... 128.101.65.152\n",
      "Connecting to files.grouplens.org (files.grouplens.org)|128.101.65.152|:80... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 978202 (955K) [application/zip]\n",
      "Saving to: ‘ml-latest-small.zip’\n",
      "\n",
      "ml-latest-small.zip 100%[===================>] 955.28K  1.22MB/s    in 0.8s    \n",
      "\n",
      "2021-10-07 12:26:44 (1.22 MB/s) - ‘ml-latest-small.zip’ saved [978202/978202]\n",
      "\n",
      "Archive:  ml-latest-small.zip\n",
      "   creating: ml-latest-small/\n",
      "  inflating: ml-latest-small/links.csv  \n",
      "  inflating: ml-latest-small/tags.csv  \n",
      "  inflating: ml-latest-small/ratings.csv  \n",
      "  inflating: ml-latest-small/README.txt  \n",
      "  inflating: ml-latest-small/movies.csv  \n"
     ]
    }
   ],
   "source": [
    "!cd $data_dir && wget http://files.grouplens.org/datasets/movielens/ml-latest-small.zip\n",
    "!cd $data_dir && unzip ml-latest-small.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2252aed",
   "metadata": {},
   "source": [
    "### README\n",
    "The dataset contains a lot of interesting csv files. Like `tags.csv`, `links.csv` or `ratings.csv`. We do not have a subject matter export to explain us the world of MovieLens. But someone wrote a `README.txt` to dive deeper in what treasure we digged out. 🌟"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "babc6bc7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary\n",
      "=======\n",
      "\n",
      "This dataset (ml-latest-small) describes 5-star rating and free-text tagging activity from [MovieLens](http://movielens.org), a movie recommendation service. It contains 100836 ratings and 3683 tag applications across 9742 movies. These data were created by 610 users between March 29, 1996 and September 24, 2018. This dataset was generated on September 26, 2018.\n",
      "\n",
      "Users were selected at random for inclusion. All selected users had rated at least 20 movies. No demographic information is included. Each user is represented by an id, and no other information is provided.\n",
      "\n",
      "The data are contained in the files `links.csv`, `movies.csv`, `ratings.csv` and `tags.csv`. More details about the contents and use of all these files follows.\n",
      "\n",
      "This is a *development* dataset. As such, it may change over time and is not an appropriate dataset for shared research results. See available *benchmark* datasets if that is your intent.\n",
      "\n",
      "This and other GroupLens data sets are publicly available for download at <http://grouplens.org/datasets/>.\n",
      "\n",
      "\n",
      "Usage License\n",
      "=============\n",
      "\n",
      "Neither the University of Minnesota nor any of the researchers involved can guarantee the correctness of the data, its suitability for any particular purpose, or the validity of results based on the use of the data set. The data set may be used for any research purposes under the following conditions:\n",
      "\n",
      "* The user may not state or imply any endorsement from the University of Minnesota or the GroupLens Research Group.\n",
      "* The user must acknowledge the use of the data set in publications resulting from the use of the data set (see below for citation information).\n",
      "* The user may redistribute the data set, including transformations, so long as it is distributed under these same license conditions.\n",
      "* The user may not use this information for any commercial or revenue-bearing purposes without first obtaining permission from a faculty member of the GroupLens Research Project at the University of Minnesota.\n",
      "* The executable software scripts are provided \"as is\" without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of them is with you. Should the program prove defective, you assume the cost of all necessary servicing, repair or correction.\n",
      "\n",
      "In no event shall the University of Minnesota, its affiliates or employees be liable to you for any damages arising out of the use or inability to use these programs (including but not limited to loss of data or data being rendered inaccurate).\n",
      "\n",
      "If you have any further questions or comments, please email <grouplens-info@umn.edu>\n",
      "\n",
      "\n",
      "Citation\n",
      "========\n",
      "\n",
      "To acknowledge use of the dataset in publications, please cite the following paper:\n",
      "\n",
      "> F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. <https://doi.org/10.1145/2827872>\n",
      "\n",
      "\n",
      "Further Information About GroupLens\n",
      "===================================\n",
      "\n",
      "GroupLens is a research group in the Department of Computer Science and Engineering at the University of Minnesota. Since its inception in 1992, GroupLens's research projects have explored a variety of fields including:\n",
      "\n",
      "* recommender systems\n",
      "* online communities\n",
      "* mobile and ubiquitious technologies\n",
      "* digital libraries\n",
      "* local geographic information systems\n",
      "\n",
      "GroupLens Research operates a movie recommender based on collaborative filtering, MovieLens, which is the source of these data. We encourage you to visit <http://movielens.org> to try it out! If you have exciting ideas for experimental work to conduct on MovieLens, send us an email at <grouplens-info@cs.umn.edu> - we are always interested in working with external collaborators.\n",
      "\n",
      "\n",
      "Content and Use of Files\n",
      "========================\n",
      "\n",
      "Formatting and Encoding\n",
      "-----------------------\n",
      "\n",
      "The dataset files are written as [comma-separated values](http://en.wikipedia.org/wiki/Comma-separated_values) files with a single header row. Columns that contain commas (`,`) are escaped using double-quotes (`\"`). These files are encoded as UTF-8. If accented characters in movie titles or tag values (e.g. Misérables, Les (1995)) display incorrectly, make sure that any program reading the data, such as a text editor, terminal, or script, is configured for UTF-8.\n",
      "\n",
      "\n",
      "User Ids\n",
      "--------\n",
      "\n",
      "MovieLens users were selected at random for inclusion. Their ids have been anonymized. User ids are consistent between `ratings.csv` and `tags.csv` (i.e., the same id refers to the same user across the two files).\n",
      "\n",
      "\n",
      "Movie Ids\n",
      "---------\n",
      "\n",
      "Only movies with at least one rating or tag are included in the dataset. These movie ids are consistent with those used on the MovieLens web site (e.g., id `1` corresponds to the URL <https://movielens.org/movies/1>). Movie ids are consistent between `ratings.csv`, `tags.csv`, `movies.csv`, and `links.csv` (i.e., the same id refers to the same movie across these four data files).\n",
      "\n",
      "\n",
      "Ratings Data File Structure (ratings.csv)\n",
      "-----------------------------------------\n",
      "\n",
      "All ratings are contained in the file `ratings.csv`. Each line of this file after the header row represents one rating of one movie by one user, and has the following format:\n",
      "\n",
      "    userId,movieId,rating,timestamp\n",
      "\n",
      "The lines within this file are ordered first by userId, then, within user, by movieId.\n",
      "\n",
      "Ratings are made on a 5-star scale, with half-star increments (0.5 stars - 5.0 stars).\n",
      "\n",
      "Timestamps represent seconds since midnight Coordinated Universal Time (UTC) of January 1, 1970.\n",
      "\n",
      "\n",
      "Tags Data File Structure (tags.csv)\n",
      "-----------------------------------\n",
      "\n",
      "All tags are contained in the file `tags.csv`. Each line of this file after the header row represents one tag applied to one movie by one user, and has the following format:\n",
      "\n",
      "    userId,movieId,tag,timestamp\n",
      "\n",
      "The lines within this file are ordered first by userId, then, within user, by movieId.\n",
      "\n",
      "Tags are user-generated metadata about movies. Each tag is typically a single word or short phrase. The meaning, value, and purpose of a particular tag is determined by each user.\n",
      "\n",
      "Timestamps represent seconds since midnight Coordinated Universal Time (UTC) of January 1, 1970.\n",
      "\n",
      "\n",
      "Movies Data File Structure (movies.csv)\n",
      "---------------------------------------\n",
      "\n",
      "Movie information is contained in the file `movies.csv`. Each line of this file after the header row represents one movie, and has the following format:\n",
      "\n",
      "    movieId,title,genres\n",
      "\n",
      "Movie titles are entered manually or imported from <https://www.themoviedb.org/>, and include the year of release in parentheses. Errors and inconsistencies may exist in these titles.\n",
      "\n",
      "Genres are a pipe-separated list, and are selected from the following:\n",
      "\n",
      "* Action\n",
      "* Adventure\n",
      "* Animation\n",
      "* Children's\n",
      "* Comedy\n",
      "* Crime\n",
      "* Documentary\n",
      "* Drama\n",
      "* Fantasy\n",
      "* Film-Noir\n",
      "* Horror\n",
      "* Musical\n",
      "* Mystery\n",
      "* Romance\n",
      "* Sci-Fi\n",
      "* Thriller\n",
      "* War\n",
      "* Western\n",
      "* (no genres listed)\n",
      "\n",
      "\n",
      "Links Data File Structure (links.csv)\n",
      "---------------------------------------\n",
      "\n",
      "Identifiers that can be used to link to other sources of movie data are contained in the file `links.csv`. Each line of this file after the header row represents one movie, and has the following format:\n",
      "\n",
      "    movieId,imdbId,tmdbId\n",
      "\n",
      "movieId is an identifier for movies used by <https://movielens.org>. E.g., the movie Toy Story has the link <https://movielens.org/movies/1>.\n",
      "\n",
      "imdbId is an identifier for movies used by <http://www.imdb.com>. E.g., the movie Toy Story has the link <http://www.imdb.com/title/tt0114709/>.\n",
      "\n",
      "tmdbId is an identifier for movies used by <https://www.themoviedb.org>. E.g., the movie Toy Story has the link <https://www.themoviedb.org/movie/862>.\n",
      "\n",
      "Use of the resources listed above is subject to the terms of each provider.\n",
      "\n",
      "\n",
      "Cross-Validation\n",
      "----------------\n",
      "\n",
      "Prior versions of the MovieLens dataset included either pre-computed cross-folds or scripts to perform this computation. We no longer bundle either of these features with the dataset, since most modern toolkits provide this as a built-in feature. If you wish to learn about standard approaches to cross-fold computation in the context of recommender systems evaluation, see [LensKit](http://lenskit.org) for tools, documentation, and open-source code examples.\n"
     ]
    }
   ],
   "source": [
    "cat $dataset_dir/README.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e3d52e0",
   "metadata": {},
   "source": [
    "---\n",
    "Awesome 🎉. This gives us a good starting point about the kind of data we got and how they relate to each other. Now let us take a closer look, what requirements Amazon Personalize has on the data.\n",
    "\n",
    "For Amazon Personalize the data you put in are categorized in so called datasets like\n",
    "* your user [interactions](https://docs.aws.amazon.com/personalize/latest/dg/interactions-datasets.html) like watched videos, read articles and so on,\n",
    "* Metadata of the things you want to recommend – called [items](https://docs.aws.amazon.com/personalize/latest/dg/items-datasets.html). \n",
    "* And metadata about your [users](https://docs.aws.amazon.com/personalize/latest/dg/users-datasets.html) like demographic data for example\n",
    "\n",
    "Each of those datasets is described using a [Avro formatted schema](https://docs.aws.amazon.com/personalize/latest/dg/how-it-works-dataset-schema.html#dataset-requirements) definition. The schema definition requires some attributes that are mandatory to provide in our datasets. It further defines some reserved keywords we are not allowed to use. The [Amazon Personalize developer guide](https://docs.aws.amazon.com/personalize/latest/dg/how-it-works-dataset-schema.html#dataset-requirements) provides a good overview about the schema requirements we have to fullfill.\n",
    "\n",
    "Amazon Personalize does not force you to provide all three datasets. The minimum requirement is to provide an interaction dataset. If you have the chance to provide an explicit items or users dataset it is likely to improve your recommendations the more context and metadata you can provide. \n",
    "\n",
    "Let's now have a look what data we can use and if we can judge about the data quality for our use case."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "130fd35f",
   "metadata": {},
   "source": [
    "## Load the datasets\n",
    "### 1. Ratings\n",
    "Let us load our ratings into a panda dataframe and take a look at some sample rows using `.head()`. The `shape` property of the dataframe gives us some insights about the total number of columns and rows. `.describe()` generates descriptive statistics for each column. And finally `.info` prints information about our DataFrame including the index dtype and columns, non-null values and memory usage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d70cf505",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964982703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964981247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964982224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>5.0</td>\n",
       "      <td>964983815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>5.0</td>\n",
       "      <td>964982931</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userId  movieId  rating  timestamp\n",
       "0       1        1     4.0  964982703\n",
       "1       1        3     4.0  964981247\n",
       "2       1        6     4.0  964982224\n",
       "3       1       47     5.0  964983815\n",
       "4       1       50     5.0  964982931"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_ratings = pd.read_csv(dataset_dir + '/ratings.csv')\n",
    "raw_ratings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3fda4536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100836, 4)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_ratings.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5b8a2ac3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>100836.000000</td>\n",
       "      <td>100836.000000</td>\n",
       "      <td>100836.000000</td>\n",
       "      <td>1.008360e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>326.127564</td>\n",
       "      <td>19435.295718</td>\n",
       "      <td>3.501557</td>\n",
       "      <td>1.205946e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>182.618491</td>\n",
       "      <td>35530.987199</td>\n",
       "      <td>1.042529</td>\n",
       "      <td>2.162610e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>8.281246e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>177.000000</td>\n",
       "      <td>1199.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.019124e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>325.000000</td>\n",
       "      <td>2991.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.186087e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>477.000000</td>\n",
       "      <td>8122.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.435994e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>610.000000</td>\n",
       "      <td>193609.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.537799e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              userId        movieId         rating     timestamp\n",
       "count  100836.000000  100836.000000  100836.000000  1.008360e+05\n",
       "mean      326.127564   19435.295718       3.501557  1.205946e+09\n",
       "std       182.618491   35530.987199       1.042529  2.162610e+08\n",
       "min         1.000000       1.000000       0.500000  8.281246e+08\n",
       "25%       177.000000    1199.000000       3.000000  1.019124e+09\n",
       "50%       325.000000    2991.000000       3.500000  1.186087e+09\n",
       "75%       477.000000    8122.000000       4.000000  1.435994e+09\n",
       "max       610.000000  193609.000000       5.000000  1.537799e+09"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_ratings.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "84872b80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100836 entries, 0 to 100835\n",
      "Data columns (total 4 columns):\n",
      " #   Column     Non-Null Count   Dtype  \n",
      "---  ------     --------------   -----  \n",
      " 0   userId     100836 non-null  int64  \n",
      " 1   movieId    100836 non-null  int64  \n",
      " 2   rating     100836 non-null  float64\n",
      " 3   timestamp  100836 non-null  int64  \n",
      "dtypes: float64(1), int64(3)\n",
      "memory usage: 3.1 MB\n"
     ]
    }
   ],
   "source": [
    "raw_ratings.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a92580c9",
   "metadata": {},
   "source": [
    "### 2. Movies\n",
    "Let us load our movie metadata into a panda dataframe and take a look at some sample rows using `.head()`. The `shape` property of the dataframe gives us some insights about the total number of columns and rows. `.describe()` generates descriptive statistics for each column. And finally `.info` prints information about our DataFrame including the index dtype and columns, non-null values and memory usage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e7f6a8f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jumanji (1995)</td>\n",
       "      <td>Adventure|Children|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Waiting to Exhale (1995)</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Father of the Bride Part II (1995)</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movieId                               title  \\\n",
       "0        1                    Toy Story (1995)   \n",
       "1        2                      Jumanji (1995)   \n",
       "2        3             Grumpier Old Men (1995)   \n",
       "3        4            Waiting to Exhale (1995)   \n",
       "4        5  Father of the Bride Part II (1995)   \n",
       "\n",
       "                                        genres  \n",
       "0  Adventure|Animation|Children|Comedy|Fantasy  \n",
       "1                   Adventure|Children|Fantasy  \n",
       "2                               Comedy|Romance  \n",
       "3                         Comedy|Drama|Romance  \n",
       "4                                       Comedy  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_movies = pd.read_csv(dataset_dir + '/movies.csv')\n",
    "raw_movies.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3b737393",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9742, 3)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_movies.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "80088ba9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9742.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>42200.353623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>52160.494854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3248.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7300.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>76232.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>193609.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             movieId\n",
       "count    9742.000000\n",
       "mean    42200.353623\n",
       "std     52160.494854\n",
       "min         1.000000\n",
       "25%      3248.250000\n",
       "50%      7300.000000\n",
       "75%     76232.000000\n",
       "max    193609.000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_movies.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "932afb19",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9742 entries, 0 to 9741\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   movieId  9742 non-null   int64 \n",
      " 1   title    9742 non-null   object\n",
      " 2   genres   9742 non-null   object\n",
      "dtypes: int64(1), object(2)\n",
      "memory usage: 228.5+ KB\n"
     ]
    }
   ],
   "source": [
    "raw_movies.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ef707e6",
   "metadata": {},
   "source": [
    "### 2. Tags\n",
    "Let us load the tagging metadata from our users into a panda dataframe and take a look at some sample rows using `.head()`. The `shape` property of the dataframe gives us some insights about the total number of columns and rows. `.describe()` generates descriptive statistics for each column. And finally `.info` prints information about our DataFrame including the index dtype and columns, non-null values and memory usage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "447e1c24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>tag</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>60756</td>\n",
       "      <td>funny</td>\n",
       "      <td>1445714994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>60756</td>\n",
       "      <td>Highly quotable</td>\n",
       "      <td>1445714996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>60756</td>\n",
       "      <td>will ferrell</td>\n",
       "      <td>1445714992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>89774</td>\n",
       "      <td>Boxing story</td>\n",
       "      <td>1445715207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>89774</td>\n",
       "      <td>MMA</td>\n",
       "      <td>1445715200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userId  movieId              tag   timestamp\n",
       "0       2    60756            funny  1445714994\n",
       "1       2    60756  Highly quotable  1445714996\n",
       "2       2    60756     will ferrell  1445714992\n",
       "3       2    89774     Boxing story  1445715207\n",
       "4       2    89774              MMA  1445715200"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_tags = pd.read_csv(dataset_dir + '/tags.csv')\n",
    "raw_tags.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "44b8e170",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3683, 4)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_tags.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e6201968",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3683.000000</td>\n",
       "      <td>3683.000000</td>\n",
       "      <td>3.683000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>431.149335</td>\n",
       "      <td>27252.013576</td>\n",
       "      <td>1.320032e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>158.472553</td>\n",
       "      <td>43490.558803</td>\n",
       "      <td>1.721025e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.137179e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>424.000000</td>\n",
       "      <td>1262.500000</td>\n",
       "      <td>1.137521e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>474.000000</td>\n",
       "      <td>4454.000000</td>\n",
       "      <td>1.269833e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>477.000000</td>\n",
       "      <td>39263.000000</td>\n",
       "      <td>1.498457e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>610.000000</td>\n",
       "      <td>193565.000000</td>\n",
       "      <td>1.537099e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            userId        movieId     timestamp\n",
       "count  3683.000000    3683.000000  3.683000e+03\n",
       "mean    431.149335   27252.013576  1.320032e+09\n",
       "std     158.472553   43490.558803  1.721025e+08\n",
       "min       2.000000       1.000000  1.137179e+09\n",
       "25%     424.000000    1262.500000  1.137521e+09\n",
       "50%     474.000000    4454.000000  1.269833e+09\n",
       "75%     477.000000   39263.000000  1.498457e+09\n",
       "max     610.000000  193565.000000  1.537099e+09"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_tags.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ecb207b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3683 entries, 0 to 3682\n",
      "Data columns (total 4 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   userId     3683 non-null   int64 \n",
      " 1   movieId    3683 non-null   int64 \n",
      " 2   tag        3683 non-null   object\n",
      " 3   timestamp  3683 non-null   int64 \n",
      "dtypes: int64(3), object(1)\n",
      "memory usage: 115.2+ KB\n"
     ]
    }
   ],
   "source": [
    "raw_tags.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf55be75",
   "metadata": {},
   "source": [
    "### 3. Merged dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b3a85574",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964982703</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964981247</td>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964982224</td>\n",
       "      <td>Heat (1995)</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>5.0</td>\n",
       "      <td>964983815</td>\n",
       "      <td>Seven (a.k.a. Se7en) (1995)</td>\n",
       "      <td>Mystery|Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>5.0</td>\n",
       "      <td>964982931</td>\n",
       "      <td>Usual Suspects, The (1995)</td>\n",
       "      <td>Crime|Mystery|Thriller</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userId  movieId  rating  timestamp                        title  \\\n",
       "0       1        1     4.0  964982703             Toy Story (1995)   \n",
       "1       1        3     4.0  964981247      Grumpier Old Men (1995)   \n",
       "2       1        6     4.0  964982224                  Heat (1995)   \n",
       "3       1       47     5.0  964983815  Seven (a.k.a. Se7en) (1995)   \n",
       "4       1       50     5.0  964982931   Usual Suspects, The (1995)   \n",
       "\n",
       "                                        genres  \n",
       "0  Adventure|Animation|Children|Comedy|Fantasy  \n",
       "1                               Comedy|Romance  \n",
       "2                        Action|Crime|Thriller  \n",
       "3                             Mystery|Thriller  \n",
       "4                       Crime|Mystery|Thriller  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_rating = pd.merge(raw_ratings, raw_movies, how=\"left\", right_on=\"movieId\", left_on=\"movieId\")\n",
    "movie_rating.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f01c33ea",
   "metadata": {},
   "source": [
    "### What did we learn about our data?\n",
    "* In total we have 100836 movie ratings available\n",
    "* Ratings range from 0.5 to 5.0 with a mean of 3.5 stars across all movies\n",
    "* Ratings can be considered as positive (< 3.0) and positive (>= 3.0)\n",
    "* There is a total number of 9741 movies available.\n",
    "* Genres are denormalized into a pipe separated string\n",
    "* Tags are denormalized. Each row represents a tag from a user for a given movie\n",
    "* The title also contains the release year. We have to split those information to model them as atomic values.\n",
    "* All `timestamp` columns are typed with `int64`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dbff6c1",
   "metadata": {},
   "source": [
    "## Data Exploration\n",
    "### What are the top 10 most rated movies?\n",
    "We want to know better, what movies are top rated in our system. We use the merged dataframe of movies and ratings, group it by title and sort by the number of rows per movie to get the top 10 movies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4ffbb8af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Top 10 most rated movies'}, ylabel='Number of ratings'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_ten_movies = movie_rating.groupby(\"title\").size().sort_values(ascending=False)[:10]\n",
    "top_ten_movies.plot(kind=\"barh\", x=\"rating\", xlabel=\"Number of ratings\", title='Top 10 most rated movies')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "120fe124",
   "metadata": {},
   "source": [
    "If we build our recommender system based on ratings, we have to check if we introduce some bias in our model. It could happen that top rated movies are recommended more often compared to less rated videos in the end. This is something to be discussed with subject matter experts to have clear expectations. So let us also take a look on the videos that have the least ratings. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cf6589f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Top 10 movies with least ratings'}, ylabel='Number of ratings'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "least_ten_movies = movie_rating.groupby(\"title\").size().sort_values(ascending=True)[:10]\n",
    "least_ten_movies.plot(kind=\"barh\", x=\"rating\", xlabel=\"Number of ratings\", title='Top 10 movies with least ratings')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48387bfe",
   "metadata": {},
   "source": [
    "### How many movies does a user rate?\n",
    "Ratings are one of the central interaction types we have right now. But how many interactions do we get then per user? Let us group the ratings by user and collect the number of ratings per user. Visualizing the data in a box chart gives us information about the distribution of ratings. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "60dadb65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Ratings per user'}, ylabel='Ratings'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rated_movies_by_user = raw_ratings.groupby(\"userId\").size().sort_values(ascending=False)\n",
    "rated_movies_by_user.plot.box(figsize=(12,12), ylabel=\"Ratings\", title='Ratings per user')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f425c7d",
   "metadata": {},
   "source": [
    "There are a lot outliner power users that rate a lot. While the median rating per user (green line) is something between 50 and 100. Let us also build a analyis that could be convienient to visualize the ratings of a given user."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "580be5ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Ratings of user 130'}, xlabel='rating', ylabel='title'>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "user_ratings = movie_rating[movie_rating['userId']==130]\n",
    "user_ratings.plot.scatter(x='rating',y='title', figsize=(12,12), xlabel=\"Rating\", ylabel=\"Movie\", title='Ratings of user 130')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15a76be4",
   "metadata": {},
   "source": [
    "### Are ratings in general more positive or negative? \n",
    "We want to know more about the distribution of ratings. Our hypothesis is, that recommending low rated videos might not be a good user experience. On the otherside we might not be too aggressive as it can lead to biased recommendation by ignoring those low rated videos. Maybe there are users that are still interested in low rated videos because they fit their favorite genre. Who knows?\n",
    "\n",
    "Let us in a first step visualize the distribution of all ratings. In a next step we will categorize ratings that lower than 3.0 as a negative rating. All other ratings will be categorized as a positive rating. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7d620855",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Number of ratings per value'}, ylabel='Rating value'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "raw_ratings['rating'].value_counts().sort_index().plot(kind='barh', y=\"rating\", ylabel=\"Rating value\", title='Number of ratings per value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ce42c7f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964982703</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964981247</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>964982224</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>5.0</td>\n",
       "      <td>964983815</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>5.0</td>\n",
       "      <td>964982931</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userId  movieId  rating  timestamp sentiment\n",
       "0       1        1     4.0  964982703  positive\n",
       "1       1        3     4.0  964981247  positive\n",
       "2       1        6     4.0  964982224  positive\n",
       "3       1       47     5.0  964983815  positive\n",
       "4       1       50     5.0  964982931  positive"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_sentiment = raw_ratings.copy()\n",
    "rating_sentiment[\"sentiment\"] = rating_sentiment[\"rating\"].map(lambda x: \"positive\" if x > 3.0 else \"negative\")\n",
    "rating_sentiment.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "5e1354eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Rating sentiment'}>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_sentiment['sentiment'].value_counts().plot(kind='barh', title='Rating sentiment')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2921071e",
   "metadata": {},
   "source": [
    "The answer to this question: the majority of ratings are positive."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcd46fb5",
   "metadata": {},
   "source": [
    "### What are the amount of ratings per day?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a70f48e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Ratings per day'}, xlabel='Date', ylabel='Ratings'>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1728x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ratings_per_day = raw_ratings.copy()\n",
    "ratings_per_day['date'] = pd.to_datetime(ratings_per_day['timestamp'], unit=\"s\").dt.date\n",
    "ratings_per_day = ratings_per_day.groupby(\"date\").size()\n",
    "ratings_per_day.plot(figsize=(24,6), x=\"date\", xlabel=\"Date\", ylabel=\"Ratings\", title='Ratings per day')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58cf1cb6",
   "metadata": {},
   "source": [
    "### Is there a correlation between genres?\n",
    "We want to check if we see some interesting correlations of genres that might give us some additional background information if multiple genres are applied. First we drop all columns we are not interested to evaluate like the `movieId` and the `title`. Next we split the `genres` column by the pipe character to get a list of genres. \n",
    "With this transformation in place we now apply a one-hot encoding to convert the list of genres in categorical variables. Based on this we can plot a correlation diagram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "100d5239",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col19{\n",
       "            background-color:  #b40426;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col3{\n",
       "            background-color:  #5b7ae5;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col16{\n",
       "            background-color:  #5e7de7;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col7{\n",
       "            background-color:  #6282ea;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col4{\n",
       "            background-color:  #6180e9;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col1{\n",
       "            background-color:  #7699f6;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col6{\n",
       "            background-color:  #4f69d9;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col11{\n",
       "            background-color:  #6687ed;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col12{\n",
       "            background-color:  #7396f5;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col14{\n",
       "            background-color:  #536edd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col10{\n",
       "            background-color:  #4c66d6;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col2{\n",
       "            background-color:  #6788ee;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col19{\n",
       "            background-color:  #4a63d3;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col14{\n",
       "            background-color:  #506bda;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col18{\n",
       "            background-color:  #5977e3;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col11{\n",
       "            background-color:  #5a78e4;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col3{\n",
       "            background-color:  #5f7fe8;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col17{\n",
       "            background-color:  #7b9ff9;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col9{\n",
       "            background-color:  #516ddb;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col4{\n",
       "            background-color:  #4358cb;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col12{\n",
       "            background-color:  #4257c9;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col2{\n",
       "            background-color:  #bcd2f7;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col5{\n",
       "            background-color:  #6e90f2;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col14{\n",
       "            background-color:  #5875e1;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col17{\n",
       "            background-color:  #85a8fc;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col13{\n",
       "            background-color:  #4e68d8;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col1{\n",
       "            background-color:  #6a8bef;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col13{\n",
       "            background-color:  #455cce;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col15{\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col1{\n",
       "            background-color:  #3c4ec2;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col7{\n",
       "            background-color:  #5572df;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col13{\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col16{\n",
       "            background-color:  #abc8fd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col17{\n",
       "            background-color:  #b9d0f9;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col12{\n",
       "            background-color:  #6c8ff1;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col1{\n",
       "            background-color:  #bbd1f8;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col3{\n",
       "            background-color:  #a6c4fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col2{\n",
       "            background-color:  #b7cff9;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col19{\n",
       "            background-color:  #3d50c3;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col3{\n",
       "            background-color:  #5470de;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col1{\n",
       "            background-color:  #aac7fd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col5{\n",
       "            background-color:  #799cf8;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col16{\n",
       "            background-color:  #9dbdff;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col2{\n",
       "            background-color:  #a5c3fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col3{\n",
       "            background-color:  #e0dbd8;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col8{\n",
       "            background-color:  #8badfd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col17{\n",
       "            background-color:  #96b7ff;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col12{\n",
       "            background-color:  #6485ec;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col19{\n",
       "            background-color:  #3e51c5;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col2{\n",
       "            background-color:  #9bbcff;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col1{\n",
       "            background-color:  #a1c0ff;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col0{\n",
       "            background-color:  #465ecf;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col3{\n",
       "            background-color:  #7ea1fa;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col1,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col0{\n",
       "            background-color:  #485fd1;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col0{\n",
       "            background-color:  #4055c8;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col17,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col5{\n",
       "            background-color:  #81a4fb;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col2{\n",
       "            background-color:  #5673e0;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col11{\n",
       "            background-color:  #90b2fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col1{\n",
       "            background-color:  #93b5fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col8{\n",
       "            background-color:  #94b6ff;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col19{\n",
       "            background-color:  #3f53c6;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col14{\n",
       "            background-color:  #84a7fc;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col17{\n",
       "            background-color:  #c9d7f0;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col0,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col6{\n",
       "            background-color:  #445acc;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col5{\n",
       "            background-color:  #688aef;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col3{\n",
       "            background-color:  #88abfd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col2{\n",
       "            background-color:  #b3cdfb;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col4,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col5{\n",
       "            background-color:  #adc9fd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col11,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col8{\n",
       "            background-color:  #7093f3;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col2,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col12,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col13,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col10,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col16,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col10{\n",
       "            background-color:  #4961d2;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col5,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col2{\n",
       "            background-color:  #6f92f3;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col6,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col8{\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col7,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col2{\n",
       "            background-color:  #6384eb;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col8{\n",
       "            background-color:  #89acfd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col14,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col8,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col17{\n",
       "            background-color:  #779af7;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col15,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col3,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col9{\n",
       "            background-color:  #5d7ce6;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col17{\n",
       "            background-color:  #c1d4f4;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col1{\n",
       "            background-color:  #8caffe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col4{\n",
       "            background-color:  #8fb1fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col17{\n",
       "            background-color:  #6b8df0;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col18,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col19,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col9,#T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col12{\n",
       "            background-color:  #4b64d5;\n",
       "            color:  #f1f1f1;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col11{\n",
       "            background-color:  #8db0fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col17{\n",
       "            background-color:  #cad8ef;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col8{\n",
       "            background-color:  #a3c2fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col17{\n",
       "            background-color:  #9ebeff;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col6{\n",
       "            background-color:  #a9c6fd;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col11{\n",
       "            background-color:  #b1cbfc;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col14{\n",
       "            background-color:  #afcafc;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col16{\n",
       "            background-color:  #82a6fb;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col1{\n",
       "            background-color:  #7a9df8;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }#T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col8{\n",
       "            background-color:  #a7c5fe;\n",
       "            color:  #000000;\n",
       "            font-size:  0pt;\n",
       "        }</style><table id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7a\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >(no genres listed)</th>        <th class=\"col_heading level0 col1\" >Action</th>        <th class=\"col_heading level0 col2\" >Adventure</th>        <th class=\"col_heading level0 col3\" >Animation</th>        <th class=\"col_heading level0 col4\" >Children</th>        <th class=\"col_heading level0 col5\" >Comedy</th>        <th class=\"col_heading level0 col6\" >Crime</th>        <th class=\"col_heading level0 col7\" >Documentary</th>        <th class=\"col_heading level0 col8\" >Drama</th>        <th class=\"col_heading level0 col9\" >Fantasy</th>        <th class=\"col_heading level0 col10\" >Film-Noir</th>        <th class=\"col_heading level0 col11\" >Horror</th>        <th class=\"col_heading level0 col12\" >IMAX</th>        <th class=\"col_heading level0 col13\" >Musical</th>        <th class=\"col_heading level0 col14\" >Mystery</th>        <th class=\"col_heading level0 col15\" >Romance</th>        <th class=\"col_heading level0 col16\" >Sci-Fi</th>        <th class=\"col_heading level0 col17\" >Thriller</th>        <th class=\"col_heading level0 col18\" >War</th>        <th class=\"col_heading level0 col19\" >Western</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row0\" class=\"row_heading level0 row0\" >(no genres listed)</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col1\" class=\"data row0 col1\" >-0.028442</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col2\" class=\"data row0 col2\" >-0.022840</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col3\" class=\"data row0 col3\" >-0.015309</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col4\" class=\"data row0 col4\" >-0.016005</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col5\" class=\"data row0 col5\" >-0.046878</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col6\" class=\"data row0 col6\" >-0.022171</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col7\" class=\"data row0 col7\" >-0.012871</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col8\" class=\"data row0 col8\" >-0.053277</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col9\" class=\"data row0 col9\" >-0.017447</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col10\" class=\"data row0 col10\" >-0.005618</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col11\" class=\"data row0 col11\" >-0.019769</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col12\" class=\"data row0 col12\" >-0.007599</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col13\" class=\"data row0 col13\" >-0.011151</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col14\" class=\"data row0 col14\" >-0.014794</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col15\" class=\"data row0 col15\" >-0.026195</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col16\" class=\"data row0 col16\" >-0.019792</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col17\" class=\"data row0 col17\" >-0.029073</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col18\" class=\"data row0 col18\" >-0.011956</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow0_col19\" class=\"data row0 col19\" >-0.007816</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row1\" class=\"row_heading level0 row1\" >Action</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col0\" class=\"data row1 col0\" >-0.028442</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col1\" class=\"data row1 col1\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col2\" class=\"data row1 col2\" >0.291949</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col3\" class=\"data row1 col3\" >0.029659</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col4\" class=\"data row1 col4\" >-0.049652</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col5\" class=\"data row1 col5\" >-0.148968</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col6\" class=\"data row1 col6\" >0.154471</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col7\" class=\"data row1 col7\" >-0.099463</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col8\" class=\"data row1 col8\" >-0.152964</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col9\" class=\"data row1 col9\" >0.059931</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col10\" class=\"data row1 col10\" >-0.031649</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col11\" class=\"data row1 col11\" >-0.035443</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col12\" class=\"data row1 col12\" >0.131864</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col13\" class=\"data row1 col13\" >-0.083331</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col14\" class=\"data row1 col14\" >-0.028515</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col15\" class=\"data row1 col15\" >-0.146670</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col16\" class=\"data row1 col16\" >0.233475</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col17\" class=\"data row1 col17\" >0.199042</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col18\" class=\"data row1 col18\" >0.076289</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow1_col19\" class=\"data row1 col19\" >0.021600</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row2\" class=\"row_heading level0 row2\" >Adventure</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col0\" class=\"data row2 col0\" >-0.022840</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col1\" class=\"data row2 col1\" >0.291949</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col2\" class=\"data row2 col2\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col3\" class=\"data row2 col3\" >0.211472</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col4\" class=\"data row2 col4\" >0.273931</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col5\" class=\"data row2 col5\" >-0.055215</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col6\" class=\"data row2 col6\" >-0.085988</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col7\" class=\"data row2 col7\" >-0.075111</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col8\" class=\"data row2 col8\" >-0.156327</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col9\" class=\"data row2 col9\" >0.262511</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col10\" class=\"data row2 col10\" >-0.030140</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col11\" class=\"data row2 col11\" >-0.098423</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col12\" class=\"data row2 col12\" >0.143982</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col13\" class=\"data row2 col13\" >-0.005544</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col14\" class=\"data row2 col14\" >-0.048427</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col15\" class=\"data row2 col15\" >-0.072584</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col16\" class=\"data row2 col16\" >0.181797</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col17\" class=\"data row2 col17\" >-0.035942</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col18\" class=\"data row2 col18\" >0.010195</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow2_col19\" class=\"data row2 col19\" >0.036136</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row3\" class=\"row_heading level0 row3\" >Animation</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col0\" class=\"data row3 col0\" >-0.015309</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col1\" class=\"data row3 col1\" >0.029659</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col2\" class=\"data row3 col2\" >0.211472</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col3\" class=\"data row3 col3\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col4\" class=\"data row3 col4\" >0.437376</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col5\" class=\"data row3 col5\" >0.029079</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col6\" class=\"data row3 col6\" >-0.069847</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col7\" class=\"data row3 col7\" >-0.050144</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col8\" class=\"data row3 col8\" >-0.160504</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col9\" class=\"data row3 col9\" >0.196895</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col10\" class=\"data row3 col10\" >-0.015555</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col11\" class=\"data row3 col11\" >-0.062464</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col12\" class=\"data row3 col12\" >0.080744</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col13\" class=\"data row3 col13\" >0.111804</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col14\" class=\"data row3 col14\" >-0.030477</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col15\" class=\"data row3 col15\" >-0.061882</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col16\" class=\"data row3 col16\" >0.064093</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col17\" class=\"data row3 col17\" >-0.107822</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col18\" class=\"data row3 col18\" >-0.036990</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow3_col19\" class=\"data row3 col19\" >-0.024378</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row4\" class=\"row_heading level0 row4\" >Children</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col0\" class=\"data row4 col0\" >-0.016005</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col1\" class=\"data row4 col1\" >-0.049652</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col2\" class=\"data row4 col2\" >0.273931</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col3\" class=\"data row4 col3\" >0.437376</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col4\" class=\"data row4 col4\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col5\" class=\"data row4 col5\" >0.088701</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col6\" class=\"data row4 col6\" >-0.086442</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col7\" class=\"data row4 col7\" >-0.056859</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col8\" class=\"data row4 col8\" >-0.160742</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col9\" class=\"data row4 col9\" >0.234117</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col10\" class=\"data row4 col10\" >-0.025673</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col11\" class=\"data row4 col11\" >-0.083569</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col12\" class=\"data row4 col12\" >0.062011</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col13\" class=\"data row4 col13\" >0.137072</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col14\" class=\"data row4 col14\" >-0.036449</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col15\" class=\"data row4 col15\" >-0.070189</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col16\" class=\"data row4 col16\" >-0.011910</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col17\" class=\"data row4 col17\" >-0.127716</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col18\" class=\"data row4 col18\" >-0.048341</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow4_col19\" class=\"data row4 col19\" >-0.016890</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row5\" class=\"row_heading level0 row5\" >Comedy</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col0\" class=\"data row5 col0\" >-0.046878</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col1\" class=\"data row5 col1\" >-0.148968</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col2\" class=\"data row5 col2\" >-0.055215</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col3\" class=\"data row5 col3\" >0.029079</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col4\" class=\"data row5 col4\" >0.088701</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col5\" class=\"data row5 col5\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col6\" class=\"data row5 col6\" >-0.075282</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col7\" class=\"data row5 col7\" >-0.131657</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col8\" class=\"data row5 col8\" >-0.283472</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col9\" class=\"data row5 col9\" >-0.005708</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col10\" class=\"data row5 col10\" >-0.070710</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col11\" class=\"data row5 col11\" >-0.133382</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col12\" class=\"data row5 col12\" >-0.056627</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col13\" class=\"data row5 col13\" >0.045466</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col14\" class=\"data row5 col14\" >-0.127209</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col15\" class=\"data row5 col15\" >0.153088</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col16\" class=\"data row5 col16\" >-0.132400</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col17\" class=\"data row5 col17\" >-0.286289</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col18\" class=\"data row5 col18\" >-0.095919</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow5_col19\" class=\"data row5 col19\" >-0.039622</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row6\" class=\"row_heading level0 row6\" >Crime</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col0\" class=\"data row6 col0\" >-0.022171</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col1\" class=\"data row6 col1\" >0.154471</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col2\" class=\"data row6 col2\" >-0.085988</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col3\" class=\"data row6 col3\" >-0.069847</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col4\" class=\"data row6 col4\" >-0.086442</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col5\" class=\"data row6 col5\" >-0.075282</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col6\" class=\"data row6 col6\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col7\" class=\"data row6 col7\" >-0.073955</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col8\" class=\"data row6 col8\" >0.063005</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col9\" class=\"data row6 col9\" >-0.086254</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col10\" class=\"data row6 col10\" >0.137141</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col11\" class=\"data row6 col11\" >-0.063805</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col12\" class=\"data row6 col12\" >-0.020892</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col13\" class=\"data row6 col13\" >-0.056850</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col14\" class=\"data row6 col14\" >0.124138</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col15\" class=\"data row6 col15\" >-0.097444</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col16\" class=\"data row6 col16\" >-0.095166</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col17\" class=\"data row6 col17\" >0.265196</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col18\" class=\"data row6 col18\" >-0.059585</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow6_col19\" class=\"data row6 col19\" >-0.022997</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row7\" class=\"row_heading level0 row7\" >Documentary</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col0\" class=\"data row7 col0\" >-0.012871</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col1\" class=\"data row7 col1\" >-0.099463</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col2\" class=\"data row7 col2\" >-0.075111</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col3\" class=\"data row7 col3\" >-0.050144</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col4\" class=\"data row7 col4\" >-0.056859</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col5\" class=\"data row7 col5\" >-0.131657</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col6\" class=\"data row7 col6\" >-0.073955</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col7\" class=\"data row7 col7\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col8\" class=\"data row7 col8\" >-0.173925</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col9\" class=\"data row7 col9\" >-0.060473</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col10\" class=\"data row7 col10\" >-0.020645</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col11\" class=\"data row7 col11\" >-0.069364</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col12\" class=\"data row7 col12\" >0.003381</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col13\" class=\"data row7 col13\" >-0.005664</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col14\" class=\"data row7 col14\" >-0.050168</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col15\" class=\"data row7 col15\" >-0.093597</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col16\" class=\"data row7 col16\" >-0.072736</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col17\" class=\"data row7 col17\" >-0.104346</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col18\" class=\"data row7 col18\" >-0.013378</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow7_col19\" class=\"data row7 col19\" >-0.024915</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row8\" class=\"row_heading level0 row8\" >Drama</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col0\" class=\"data row8 col0\" >-0.053277</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col1\" class=\"data row8 col1\" >-0.152964</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col2\" class=\"data row8 col2\" >-0.156327</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col3\" class=\"data row8 col3\" >-0.160504</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col4\" class=\"data row8 col4\" >-0.160742</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col5\" class=\"data row8 col5\" >-0.283472</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col6\" class=\"data row8 col6\" >0.063005</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col7\" class=\"data row8 col7\" >-0.173925</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col8\" class=\"data row8 col8\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col9\" class=\"data row8 col9\" >-0.106337</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col10\" class=\"data row8 col10\" >0.024256</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col11\" class=\"data row8 col11\" >-0.187391</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col12\" class=\"data row8 col12\" >-0.063293</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col13\" class=\"data row8 col13\" >-0.038022</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col14\" class=\"data row8 col14\" >0.027635</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col15\" class=\"data row8 col15\" >0.122454</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col16\" class=\"data row8 col16\" >-0.158325</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col17\" class=\"data row8 col17\" >-0.008267</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col18\" class=\"data row8 col18\" >0.135067</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow8_col19\" class=\"data row8 col19\" >-0.025060</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row9\" class=\"row_heading level0 row9\" >Fantasy</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col0\" class=\"data row9 col0\" >-0.017447</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col1\" class=\"data row9 col1\" >0.059931</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col2\" class=\"data row9 col2\" >0.262511</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col3\" class=\"data row9 col3\" >0.196895</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col4\" class=\"data row9 col4\" >0.234117</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col5\" class=\"data row9 col5\" >-0.005708</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col6\" class=\"data row9 col6\" >-0.086254</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col7\" class=\"data row9 col7\" >-0.060473</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col8\" class=\"data row9 col8\" >-0.106337</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col9\" class=\"data row9 col9\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col10\" class=\"data row9 col10\" >-0.023962</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col11\" class=\"data row9 col11\" >0.012336</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col12\" class=\"data row9 col12\" >0.102962</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col13\" class=\"data row9 col13\" >0.050524</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col14\" class=\"data row9 col14\" >0.014768</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col15\" class=\"data row9 col15\" >-0.000635</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col16\" class=\"data row9 col16\" >0.046094</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col17\" class=\"data row9 col17\" >-0.057807</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col18\" class=\"data row9 col18\" >-0.043959</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow9_col19\" class=\"data row9 col19\" >-0.021441</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row10\" class=\"row_heading level0 row10\" >Film-Noir</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col0\" class=\"data row10 col0\" >-0.005618</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col1\" class=\"data row10 col1\" >-0.031649</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col2\" class=\"data row10 col2\" >-0.030140</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col3\" class=\"data row10 col3\" >-0.015555</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col4\" class=\"data row10 col4\" >-0.025673</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col5\" class=\"data row10 col5\" >-0.070710</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col6\" class=\"data row10 col6\" >0.137141</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col7\" class=\"data row10 col7\" >-0.020645</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col8\" class=\"data row10 col8\" >0.024256</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col9\" class=\"data row10 col9\" >-0.023962</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col10\" class=\"data row10 col10\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col11\" class=\"data row10 col11\" >-0.024449</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col12\" class=\"data row10 col12\" >-0.012188</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col13\" class=\"data row10 col13\" >-0.017886</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col14\" class=\"data row10 col14\" >0.087567</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col15\" class=\"data row10 col15\" >-0.018433</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col16\" class=\"data row10 col16\" >-0.020864</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col17\" class=\"data row10 col17\" >0.066406</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col18\" class=\"data row10 col18\" >-0.019177</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow10_col19\" class=\"data row10 col19\" >-0.004130</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row11\" class=\"row_heading level0 row11\" >Horror</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col0\" class=\"data row11 col0\" >-0.019769</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col1\" class=\"data row11 col1\" >-0.035443</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col2\" class=\"data row11 col2\" >-0.098423</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col3\" class=\"data row11 col3\" >-0.062464</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col4\" class=\"data row11 col4\" >-0.083569</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col5\" class=\"data row11 col5\" >-0.133382</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col6\" class=\"data row11 col6\" >-0.063805</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col7\" class=\"data row11 col7\" >-0.069364</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col8\" class=\"data row11 col8\" >-0.187391</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col9\" class=\"data row11 col9\" >0.012336</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col10\" class=\"data row11 col10\" >-0.024449</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col11\" class=\"data row11 col11\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col12\" class=\"data row11 col12\" >-0.010442</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col13\" class=\"data row11 col13\" >-0.049802</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col14\" class=\"data row11 col14\" >0.109572</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col15\" class=\"data row11 col15\" >-0.125715</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col16\" class=\"data row11 col16\" >0.123343</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col17\" class=\"data row11 col17\" >0.232052</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col18\" class=\"data row11 col18\" >-0.062206</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow11_col19\" class=\"data row11 col19\" >-0.023065</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row12\" class=\"row_heading level0 row12\" >IMAX</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col0\" class=\"data row12 col0\" >-0.007599</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col1\" class=\"data row12 col1\" >0.131864</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col2\" class=\"data row12 col2\" >0.143982</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col3\" class=\"data row12 col3\" >0.080744</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col4\" class=\"data row12 col4\" >0.062011</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col5\" class=\"data row12 col5\" >-0.056627</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col6\" class=\"data row12 col6\" >-0.020892</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col7\" class=\"data row12 col7\" >0.003381</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col8\" class=\"data row12 col8\" >-0.063293</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col9\" class=\"data row12 col9\" >0.102962</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col10\" class=\"data row12 col10\" >-0.012188</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col11\" class=\"data row12 col11\" >-0.010442</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col12\" class=\"data row12 col12\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col13\" class=\"data row12 col13\" >0.011536</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col14\" class=\"data row12 col14\" >-0.011374</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col15\" class=\"data row12 col15\" >-0.037072</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col16\" class=\"data row12 col16\" >0.124563</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col17\" class=\"data row12 col17\" >0.008793</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col18\" class=\"data row12 col18\" >-0.009192</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow12_col19\" class=\"data row12 col19\" >-0.004436</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row13\" class=\"row_heading level0 row13\" >Musical</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col0\" class=\"data row13 col0\" >-0.011151</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col1\" class=\"data row13 col1\" >-0.083331</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col2\" class=\"data row13 col2\" >-0.005544</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col3\" class=\"data row13 col3\" >0.111804</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col4\" class=\"data row13 col4\" >0.137072</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col5\" class=\"data row13 col5\" >0.045466</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col6\" class=\"data row13 col6\" >-0.056850</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col7\" class=\"data row13 col7\" >-0.005664</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col8\" class=\"data row13 col8\" >-0.038022</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col9\" class=\"data row13 col9\" >0.050524</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col10\" class=\"data row13 col10\" >-0.017886</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col11\" class=\"data row13 col11\" >-0.049802</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col12\" class=\"data row13 col12\" >0.011536</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col13\" class=\"data row13 col13\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col14\" class=\"data row13 col14\" >-0.035114</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col15\" class=\"data row13 col15\" >0.062921</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col16\" class=\"data row13 col16\" >-0.048010</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col17\" class=\"data row13 col17\" >-0.088286</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col18\" class=\"data row13 col18\" >-0.032252</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow13_col19\" class=\"data row13 col19\" >0.018577</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row14\" class=\"row_heading level0 row14\" >Mystery</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col0\" class=\"data row14 col0\" >-0.014794</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col1\" class=\"data row14 col1\" >-0.028515</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col2\" class=\"data row14 col2\" >-0.048427</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col3\" class=\"data row14 col3\" >-0.030477</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col4\" class=\"data row14 col4\" >-0.036449</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col5\" class=\"data row14 col5\" >-0.127209</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col6\" class=\"data row14 col6\" >0.124138</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col7\" class=\"data row14 col7\" >-0.050168</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col8\" class=\"data row14 col8\" >0.027635</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col9\" class=\"data row14 col9\" >0.014768</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col10\" class=\"data row14 col10\" >0.087567</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col11\" class=\"data row14 col11\" >0.109572</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col12\" class=\"data row14 col12\" >-0.011374</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col13\" class=\"data row14 col13\" >-0.035114</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col14\" class=\"data row14 col14\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col15\" class=\"data row14 col15\" >-0.037570</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col16\" class=\"data row14 col16\" >0.016475</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col17\" class=\"data row14 col17\" >0.267443</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col18\" class=\"data row14 col18\" >-0.043759</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow14_col19\" class=\"data row14 col19\" >-0.019570</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row15\" class=\"row_heading level0 row15\" >Romance</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col0\" class=\"data row15 col0\" >-0.026195</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col1\" class=\"data row15 col1\" >-0.146670</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col2\" class=\"data row15 col2\" >-0.072584</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col3\" class=\"data row15 col3\" >-0.061882</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col4\" class=\"data row15 col4\" >-0.070189</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col5\" class=\"data row15 col5\" >0.153088</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col6\" class=\"data row15 col6\" >-0.097444</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col7\" class=\"data row15 col7\" >-0.093597</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col8\" class=\"data row15 col8\" >0.122454</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col9\" class=\"data row15 col9\" >-0.000635</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col10\" class=\"data row15 col10\" >-0.018433</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col11\" class=\"data row15 col11\" >-0.125715</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col12\" class=\"data row15 col12\" >-0.037072</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col13\" class=\"data row15 col13\" >0.062921</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col14\" class=\"data row15 col14\" >-0.037570</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col15\" class=\"data row15 col15\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col16\" class=\"data row15 col16\" >-0.101009</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col17\" class=\"data row15 col17\" >-0.137557</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col18\" class=\"data row15 col18\" >-0.012262</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow15_col19\" class=\"data row15 col19\" >-0.015724</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row16\" class=\"row_heading level0 row16\" >Sci-Fi</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col0\" class=\"data row16 col0\" >-0.019792</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col1\" class=\"data row16 col1\" >0.233475</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col2\" class=\"data row16 col2\" >0.181797</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col3\" class=\"data row16 col3\" >0.064093</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col4\" class=\"data row16 col4\" >-0.011910</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col5\" class=\"data row16 col5\" >-0.132400</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col6\" class=\"data row16 col6\" >-0.095166</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col7\" class=\"data row16 col7\" >-0.072736</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col8\" class=\"data row16 col8\" >-0.158325</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col9\" class=\"data row16 col9\" >0.046094</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col10\" class=\"data row16 col10\" >-0.020864</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col11\" class=\"data row16 col11\" >0.123343</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col12\" class=\"data row16 col12\" >0.124563</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col13\" class=\"data row16 col13\" >-0.048010</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col14\" class=\"data row16 col14\" >0.016475</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col15\" class=\"data row16 col15\" >-0.101009</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col16\" class=\"data row16 col16\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col17\" class=\"data row16 col17\" >0.096124</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col18\" class=\"data row16 col18\" >-0.046464</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow16_col19\" class=\"data row16 col19\" >-0.023135</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row17\" class=\"row_heading level0 row17\" >Thriller</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col0\" class=\"data row17 col0\" >-0.029073</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col1\" class=\"data row17 col1\" >0.199042</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col2\" class=\"data row17 col2\" >-0.035942</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col3\" class=\"data row17 col3\" >-0.107822</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col4\" class=\"data row17 col4\" >-0.127716</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col5\" class=\"data row17 col5\" >-0.286289</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col6\" class=\"data row17 col6\" >0.265196</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col7\" class=\"data row17 col7\" >-0.104346</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col8\" class=\"data row17 col8\" >-0.008267</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col9\" class=\"data row17 col9\" >-0.057807</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col10\" class=\"data row17 col10\" >0.066406</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col11\" class=\"data row17 col11\" >0.232052</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col12\" class=\"data row17 col12\" >0.008793</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col13\" class=\"data row17 col13\" >-0.088286</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col14\" class=\"data row17 col14\" >0.267443</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col15\" class=\"data row17 col15\" >-0.137557</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col16\" class=\"data row17 col16\" >0.096124</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col17\" class=\"data row17 col17\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col18\" class=\"data row17 col18\" >-0.044455</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow17_col19\" class=\"data row17 col19\" >-0.028910</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row18\" class=\"row_heading level0 row18\" >War</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col0\" class=\"data row18 col0\" >-0.011956</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col1\" class=\"data row18 col1\" >0.076289</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col2\" class=\"data row18 col2\" >0.010195</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col3\" class=\"data row18 col3\" >-0.036990</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col4\" class=\"data row18 col4\" >-0.048341</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col5\" class=\"data row18 col5\" >-0.095919</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col6\" class=\"data row18 col6\" >-0.059585</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col7\" class=\"data row18 col7\" >-0.013378</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col8\" class=\"data row18 col8\" >0.135067</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col9\" class=\"data row18 col9\" >-0.043959</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col10\" class=\"data row18 col10\" >-0.019177</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col11\" class=\"data row18 col11\" >-0.062206</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col12\" class=\"data row18 col12\" >-0.009192</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col13\" class=\"data row18 col13\" >-0.032252</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col14\" class=\"data row18 col14\" >-0.043759</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col15\" class=\"data row18 col15\" >-0.012262</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col16\" class=\"data row18 col16\" >-0.046464</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col17\" class=\"data row18 col17\" >-0.044455</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col18\" class=\"data row18 col18\" >1.000000</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow18_col19\" class=\"data row18 col19\" >0.014063</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7alevel0_row19\" class=\"row_heading level0 row19\" >Western</th>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col0\" class=\"data row19 col0\" >-0.007816</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col1\" class=\"data row19 col1\" >0.021600</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col2\" class=\"data row19 col2\" >0.036136</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col3\" class=\"data row19 col3\" >-0.024378</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col4\" class=\"data row19 col4\" >-0.016890</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col5\" class=\"data row19 col5\" >-0.039622</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col6\" class=\"data row19 col6\" >-0.022997</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col7\" class=\"data row19 col7\" >-0.024915</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col8\" class=\"data row19 col8\" >-0.025060</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col9\" class=\"data row19 col9\" >-0.021441</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col10\" class=\"data row19 col10\" >-0.004130</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col11\" class=\"data row19 col11\" >-0.023065</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col12\" class=\"data row19 col12\" >-0.004436</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col13\" class=\"data row19 col13\" >0.018577</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col14\" class=\"data row19 col14\" >-0.019570</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col15\" class=\"data row19 col15\" >-0.015724</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col16\" class=\"data row19 col16\" >-0.023135</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col17\" class=\"data row19 col17\" >-0.028910</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col18\" class=\"data row19 col18\" >0.014063</td>\n",
       "                        <td id=\"T_1c78ffec_2868_11ec_8993_021446ff1b7arow19_col19\" class=\"data row19 col19\" >1.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f39e26a2748>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres = raw_movies.copy()\n",
    "genres = genres.drop(columns=['movieId', 'title'])\n",
    "genres['genres'] = genres['genres'].str.split('|')\n",
    "genres_dummies = pd.get_dummies(pd.DataFrame(genres['genres'].tolist()).stack()).sum(level=0)\n",
    "genres = pd.concat([genres, genres_dummies], axis=1).drop(columns=['genres'])\n",
    "corr = genres.corr()\n",
    "corr.style.background_gradient(cmap='coolwarm').set_properties(**{'font-size': '0pt'})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22bafa13",
   "metadata": {},
   "source": [
    "The correlation analysis show, that there a no significant correlations visible in the sample dataset. Only the correlation between the genre of \"Children\" and \"Animation\" shows some hints. Would be interesting to apply this analysis with the whole Movielens dataset and not only the reduced sample."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f688df4",
   "metadata": {},
   "source": [
    "### Are there some genres more dominant compared to others?\n",
    "Based on the denormalized string of genres it is hard to judge about the distribution of single genres. Let's take a deeper look on the distribution of single genres accross all movies. We split the genres column by the pipe character to get a list of genres. We then next reindex the Dataframe to get all the unique genre identifier to visualize the total number of genres."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "04acd616",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Number of movies per genre'}>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "genres = raw_movies.copy()\n",
    "genres['genres'] = genres['genres'].str.split('|')\n",
    "genres['genres'].apply(lambda x: pd.Series([i for i in x])).stack().value_counts().plot(kind=\"barh\", title='Number of movies per genre')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44a2e04d",
   "metadata": {},
   "source": [
    "The genres \"Drama\" and \"Comedy\" are compared to all others kind of dominant. The number of unique genres is congruent to the list provided in the `README.txt` file."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b901bd2",
   "metadata": {},
   "source": [
    "### What is the distribution of the release years of our movies?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "938ed5cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "movies = raw_movies.copy()\n",
    "movies['release_year'] = movies['title'].str.extract('\\((\\d{4})\\)',expand = False)\n",
    "movies = movies.dropna(axis=0)\n",
    "movies['release_year'] = movies['release_year'].astype('int64')\n",
    "movies['title'] = movies['title'].str.extract('(.*?)\\s*\\(', expand=False)\n",
    "\n",
    "movie_year = pd.DataFrame(movies['title'].groupby(movies['release_year']).count())\n",
    "movie_year.reset_index(inplace=True)\n",
    "movie_year.plot(x=\"release_year\", y=\"title\", legend=False, xlabel=\"Release year\", ylabel=\"Number of movies\", figsize=(12, 6));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "da89008c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>release_year</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>106.000000</td>\n",
       "      <td>106.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1965.198113</td>\n",
       "      <td>91.783019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>31.291691</td>\n",
       "      <td>102.227757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1902.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1939.250000</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1965.500000</td>\n",
       "      <td>39.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1991.750000</td>\n",
       "      <td>151.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2018.000000</td>\n",
       "      <td>311.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       release_year       title\n",
       "count    106.000000  106.000000\n",
       "mean    1965.198113   91.783019\n",
       "std       31.291691  102.227757\n",
       "min     1902.000000    1.000000\n",
       "25%     1939.250000   16.000000\n",
       "50%     1965.500000   39.500000\n",
       "75%     1991.750000  151.500000\n",
       "max     2018.000000  311.000000"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_year.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6fb799e",
   "metadata": {},
   "source": [
    "Movies range from release dates from 1902 till 2018. Since round about 1980 the amount of release movies seems to be increasing more strongly. Ther is an interesting drop of releases round about in the year of 2012. In 2018 nearly the same amount of movies were release like in the end of the 70s.\n",
    "\n",
    "If there were subject matter experts in place, those analysis might result in some very interesting question to better understand the driver of both the increase in the 80s but also the drop after 2010."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "696a5b8e",
   "metadata": {},
   "source": [
    "### What is the distribution of genres per release year?\n",
    "For this analysis we use a combination of the previous one with the one to split genres into single categories. First we extract the release year and convert it to an integer value. Then we also split the concatenated genres into a list of genres and create categorized values out of each individual genre. We then drop all columns that are not needed like the origin concatenated genre column or the title or movieId. \n",
    "\n",
    "Similar to the previous analysis we now group the dataframe by release year and sum all genres up. In the end we visualize each genre grouped by year in a dedicated chart."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "a6a84fc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x5400 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "movies = raw_movies.copy()\n",
    "movies['release_year'] = movies['title'].str.extract('\\((\\d{4})\\)',expand = False)\n",
    "movies = movies.dropna(axis=0)\n",
    "movies['release_year'] = movies['release_year'].astype('int64')\n",
    "movies['genres'] = movies['genres'].str.split('|')\n",
    "movies_dummies = pd.get_dummies(pd.DataFrame(movies['genres'].tolist()).stack()).sum(level=0)\n",
    "movies = pd.concat([movies, movies_dummies], axis=1).drop(columns=['genres', 'title', 'movieId'])\n",
    "\n",
    "movie_year = pd.DataFrame(movies.groupby(movies['release_year']).sum())\n",
    "movie_year.reset_index(inplace=True)\n",
    "movie_year.plot(x=\"release_year\", xlabel=\"Release year\", figsize=(25,75), subplots=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65f1146e",
   "metadata": {},
   "source": [
    "There are genres that seems to be like evergreens. Some genres loose attraction over time like \"Film-Noir\" for example. What is also very interesting to observe is that there seems to be a pattern of spikes. Videos in a particular genre are release in one year but drop in the next year and so on. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c78aa3e3",
   "metadata": {},
   "source": [
    "## Conclusions\n",
    "### Can we transform our data to a schema Amazon Personalize is able to process?\n",
    "Indpendent of the algorithmn we use, the common requirement for the schema is to provide at least\n",
    "* A userId that reflects the user that triggered a given interaction\n",
    "* A itemId that identifies the movie\n",
    "* A timestamp that describes the time of the interaction\n",
    "\n",
    "All three properties are in place and can be used to build up the datasets for our initial model training. Interactions can furthermore be described by two event types named \"rated\" or \"tagged\". If the tagging interaction is a valuable feature, we have to measure and analyse. But those are the options our data analysis revealed. \n",
    "\n",
    "Movie metadata like a title, release year or genres can further be used to express item characteristics. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ac3706a",
   "metadata": {},
   "source": [
    "### Do we have enough data to train a model using Amazon Personalize?\n",
    "The minimum suggested data volume, Amazon Personalize needs to train a recommendation model is\n",
    "* More than 50 users.\n",
    "* More than 50 items.\n",
    "* More than 1500 interactions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "34e384dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "610"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_ratings['userId'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "067a9218",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9742"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_movies['movieId'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "13abc4fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100836"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(raw_ratings)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbff3593",
   "metadata": {},
   "source": [
    "According to our data analysis we have\n",
    "* 610 unique users\n",
    "* 9742 movies\n",
    "* 100836 ratings \n",
    "\n",
    "available. All three datasets fullfil the minimun required quota of Amazon Personalize. The interaction dataset can be created out of our rating data and the item dataset out of our movie data. Due to the lack of user metadata we will skip the creation of a dedicated user dataset in the first steps."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "conda_python3",
   "language": "python",
   "name": "conda_python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}