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diff --git a/_build/html/_to_be_deleted_later/intro_old.html b/_build/html/_to_be_deleted_later/intro_old.html index 4bc51d29..530088e3 100644 --- a/_build/html/_to_be_deleted_later/intro_old.html +++ b/_build/html/_to_be_deleted_later/intro_old.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/_to_be_deleted_later/markdown-notebooks.html b/_build/html/_to_be_deleted_later/markdown-notebooks.html index c2bd312d..c54b1421 100644 --- a/_build/html/_to_be_deleted_later/markdown-notebooks.html +++ b/_build/html/_to_be_deleted_later/markdown-notebooks.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/_to_be_deleted_later/markdown.html b/_build/html/_to_be_deleted_later/markdown.html index 700ea887..a335535b 100644 --- a/_build/html/_to_be_deleted_later/markdown.html +++ b/_build/html/_to_be_deleted_later/markdown.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/_to_be_deleted_later/notebooks.html b/_build/html/_to_be_deleted_later/notebooks.html index 2a8c9a1e..968b6a8d 100644 --- a/_build/html/_to_be_deleted_later/notebooks.html +++ b/_build/html/_to_be_deleted_later/notebooks.html @@ -220,7 +220,7 @@
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    • @@ -476,7 +476,7 @@

    Code blocks and outputs
    -
    <contextlib.ExitStack at 0x10f5f8310>
+
    <contextlib.ExitStack at 0x10a659710>
    diff --git a/_build/html/docs/101/01_data_types.html b/_build/html/docs/101/01_data_types.html index f8cf719c..57d951b4 100644 --- a/_build/html/docs/101/01_data_types.html +++ b/_build/html/docs/101/01_data_types.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/101/02_variables_and_assignment.html b/_build/html/docs/101/02_variables_and_assignment.html index 7e1b2eef..5f278c84 100644 --- a/_build/html/docs/101/02_variables_and_assignment.html +++ b/_build/html/docs/101/02_variables_and_assignment.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/101/05_lists.html b/_build/html/docs/101/05_lists.html index 28288cab..a08f4992 100644 --- a/_build/html/docs/101/05_lists.html +++ b/_build/html/docs/101/05_lists.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/101/06_for_loops.html b/_build/html/docs/101/06_for_loops.html index 5c867f6c..3440b06c 100644 --- a/_build/html/docs/101/06_for_loops.html +++ b/_build/html/docs/101/06_for_loops.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/101/07_conditionals.html b/_build/html/docs/101/07_conditionals.html index 45b0118b..49d632ef 100644 --- a/_build/html/docs/101/07_conditionals.html +++ b/_build/html/docs/101/07_conditionals.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/101/part1.html b/_build/html/docs/101/part1.html index c59c0654..67599603 100644 --- a/_build/html/docs/101/part1.html +++ b/_build/html/docs/101/part1.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/101/part2.html b/_build/html/docs/101/part2.html index d1b8500b..61084b7d 100644 --- a/_build/html/docs/101/part2.html +++ b/_build/html/docs/101/part2.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/_test/2024_ods.html b/_build/html/docs/_test/2024_ods.html index 5bcb701c..a994c0ae 100644 --- a/_build/html/docs/_test/2024_ods.html +++ b/_build/html/docs/_test/2024_ods.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/_test/regex_and_frankenstein.html b/_build/html/docs/_test/regex_and_frankenstein.html index 28e6ff58..780afc88 100644 --- a/_build/html/docs/_test/regex_and_frankenstein.html +++ b/_build/html/docs/_test/regex_and_frankenstein.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/dictionaries.html b/_build/html/docs/howto/dictionaries.html index 8f53cd76..b2f38c3a 100644 --- a/_build/html/docs/howto/dictionaries.html +++ b/_build/html/docs/howto/dictionaries.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/dictionary_101.html b/_build/html/docs/howto/dictionary_101.html index b2e6da38..844fd2cf 100644 --- a/_build/html/docs/howto/dictionary_101.html +++ b/_build/html/docs/howto/dictionary_101.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/dictionary_pandas.html b/_build/html/docs/howto/dictionary_pandas.html index a6d6e88c..794f265e 100644 --- a/_build/html/docs/howto/dictionary_pandas.html +++ b/_build/html/docs/howto/dictionary_pandas.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/help_and_documentation.html b/_build/html/docs/howto/help_and_documentation.html index f3a1e558..d593a503 100644 --- a/_build/html/docs/howto/help_and_documentation.html +++ b/_build/html/docs/howto/help_and_documentation.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/interact.html b/_build/html/docs/howto/interact.html index 58339d9a..35585373 100644 --- a/_build/html/docs/howto/interact.html +++ b/_build/html/docs/howto/interact.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/interact_original.html b/_build/html/docs/howto/interact_original.html index 626d44e1..524989de 100644 --- a/_build/html/docs/howto/interact_original.html +++ b/_build/html/docs/howto/interact_original.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/jupyterlab.html b/_build/html/docs/howto/jupyterlab.html index 63b9e6f6..10a36f08 100644 --- a/_build/html/docs/howto/jupyterlab.html +++ b/_build/html/docs/howto/jupyterlab.html @@ -32,7 +32,7 @@ - + @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/jupyterlab_1.html b/_build/html/docs/howto/jupyterlab_1.html index 0c69bf6f..6a23f94b 100644 --- a/_build/html/docs/howto/jupyterlab_1.html +++ b/_build/html/docs/howto/jupyterlab_1.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/jupyterlab_2.html b/_build/html/docs/howto/jupyterlab_2.html index bca90940..bc60672b 100644 --- a/_build/html/docs/howto/jupyterlab_2.html +++ b/_build/html/docs/howto/jupyterlab_2.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/setup.html b/_build/html/docs/howto/setup.html index a6154f6c..46a10106 100644 --- a/_build/html/docs/howto/setup.html +++ b/_build/html/docs/howto/setup.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/howto/sign_up.html b/_build/html/docs/howto/sign_up.html index 27f3ecb1..a2dbbe16 100644 --- a/_build/html/docs/howto/sign_up.html +++ b/_build/html/docs/howto/sign_up.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/intro.html b/_build/html/docs/intro.html index 73200dc0..07fdc460 100644 --- a/_build/html/docs/intro.html +++ b/_build/html/docs/intro.html @@ -32,7 +32,7 @@ - + @@ -219,7 +219,7 @@
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    • diff --git a/_build/html/docs/pandas/00_pandas_start.html b/_build/html/docs/pandas/00_pandas_start.html index 0bf50423..81d16c02 100644 --- a/_build/html/docs/pandas/00_pandas_start.html +++ b/_build/html/docs/pandas/00_pandas_start.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/pandas/01_pandas_dataframe.html b/_build/html/docs/pandas/01_pandas_dataframe.html index 4fd82d04..18465522 100644 --- a/_build/html/docs/pandas/01_pandas_dataframe.html +++ b/_build/html/docs/pandas/01_pandas_dataframe.html @@ -218,7 +218,7 @@
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    • diff --git a/_build/html/docs/pandas/02_Pandas_tabular_data.html b/_build/html/docs/pandas/02_Pandas_tabular_data.html index 7d210265..76ea99a7 100644 --- a/_build/html/docs/pandas/02_Pandas_tabular_data.html +++ b/_build/html/docs/pandas/02_Pandas_tabular_data.html @@ -218,7 +218,7 @@
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    • @@ -447,6 +447,7 @@

    Contents

    Read and Write Tabular Data#

    +

    How to read and write tabular data

    Learning Objectives

    Questions:

    @@ -462,7 +463,6 @@

    Read and Write Tabular Data

    Download the Titanic data#

    For this page and the ones that follow, we will be working with the Titanic dataset. The full dataset can be found on Kaggle, but we will only be using the training data, which we have made available here.

    diff --git a/_build/html/docs/pandas/03_Pandas_subsets.html b/_build/html/docs/pandas/03_Pandas_subsets.html index bebad8ce..e59bdeef 100644 --- a/_build/html/docs/pandas/03_Pandas_subsets.html +++ b/_build/html/docs/pandas/03_Pandas_subsets.html @@ -61,7 +61,7 @@ - + @@ -218,7 +218,7 @@
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    • @@ -458,11 +458,11 @@

    Subsets#<

    Objectives:

      -

    • Select specific columns from a DataFrame using square bracket notation.

      • -

    • Use the loc property for label-based indexing in a DataFrame.

      • -

    • Use the iloc property for position-based indexing in a DataFrame.

      • +

    • Select specific columns from a DataFrame using square bracket notation ([]).

      • +

    • Use the loc property for label-based indexing in a DataFrame.

      • +

    • Use the iloc property for position-based indexing in a DataFrame.

    • Filter rows based on the presence or absence of missing values.

      • -

    • Understand the differences and complementary uses of loc and iloc.

      • +

    • Understand the differences and complementary uses of .loc[] and .iloc[].

    @@ -2394,11 +2394,11 @@

    Key points

    next

    -

    Summary Statistics

    +

    Descriptive Statistics

     diff --git a/_build/html/docs/pandas/04_pandas_summary_statistics.html b/_build/html/docs/pandas/04_pandas_descriptive_statistics.html similarity index 98% rename from _build/html/docs/pandas/04_pandas_summary_statistics.html rename to _build/html/docs/pandas/04_pandas_descriptive_statistics.html index 62e4d3e6..8034b8e8 100644 --- a/_build/html/docs/pandas/04_pandas_summary_statistics.html +++ b/_build/html/docs/pandas/04_pandas_descriptive_statistics.html @@ -8,7 +8,7 @@ - Summary Statistics — KUB Datalab - Python + Descriptive Statistics — KUB Datalab - Python @@ -57,7 +57,7 @@ - + @@ -218,7 +218,7 @@
  • Pandas DataFrame
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  • Basic Visualisations in Pandas
    • @@ -293,7 +293,7 @@ -
  • -

    Summary Statistics

    +

    Descriptive Statistics

    @@ -434,18 +434,18 @@

    Contents

    -
    -

    Summary Statistics#

    +
    +

    Descriptive Statistics#

    Learning Objectives

    Questions:

      -

    • How can we calculate and analyse summary statistics using Pandas?

      • +

    • How can we calculate and analyse descriptive statistics using Pandas?

    Objectives:

    • Use built-in methods for descriptive statistics.

      • -

    • Use the split-apply-combind pattern to perform descriptive statistics on groupings of data.

      • +

    • Use the split-apply-combine pattern to perform descriptive statistics on groupings of data.

    • Use different count methods on groupings of data.

    @@ -1163,7 +1163,7 @@

    Count number of records by category

    Key points#

      -

    • Aggregation statistics can be calculated on entire columns or rows.

      • +

    • Descriptive statistics can be calculated on entire columns or rows.

    • groupby() provides the power of the split-apply-combine pattern.

    • value_counts() is a convenient shortcut to count the number of entries in each category of a variable.

    diff --git a/_build/html/docs/pandas/05_pandas_plot.html b/_build/html/docs/pandas/05_pandas_plot.html index 1690eb33..9ce6f21c 100644 --- a/_build/html/docs/pandas/05_pandas_plot.html +++ b/_build/html/docs/pandas/05_pandas_plot.html @@ -61,7 +61,7 @@ - + @@ -217,7 +217,7 @@
  • Pandas DataFrame
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  • Descriptive Statistics
  • Basic Visualisations in Pandas

    • @@ -442,6 +442,7 @@

    Contents

    Basic Visualisations in Pandas#

    +

    Plotting in Pandas

    Learning Objectives

    Questions:

    @@ -454,7 +455,6 @@

    Basic Visualisations in Pandas

    A note on plotting

    Plotting with Pandas is often done using the matplotlib library, which provides extensive tools for creating a wide variety of visualisations. However, Pandas also offers a simpler interface for basic plotting through the .plot() method. This guide will focus on using the .plot() method to create quick and easy visualisations directly from a DataFrame or Series, without diving into the more complex features of matplotlib.
    @@ -626,12 +626,12 @@

    Key points

    previous

    -

    Summary Statistics

    +

    Descriptive Statistics

    diff --git a/_build/html/docs/pandas/getting_started.html b/_build/html/docs/pandas/getting_started.html index 00e89c41..99a09b84 100644 --- a/_build/html/docs/pandas/getting_started.html +++ b/_build/html/docs/pandas/getting_started.html @@ -218,7 +218,7 @@
  • Pandas DataFrame
  • Read and Write Tabular Data
  • Subsets
    • -
  • Summary Statistics
    • +
  • Descriptive Statistics
  • Basic Visualisations in Pandas
    • @@ -452,7 +452,7 @@

    Content#<
  • Pandas DataFrame
  • Read and Write Tabular Data
  • Subsets
    • -
  • Summary Statistics
    • +
  • Descriptive Statistics
  • Basic Visualisations in Pandas

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  • Pandas DataFrame
  • Read and Write Tabular Data
  • Subsets
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  • Summary Statistics
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  • Descriptive Statistics
  • Basic Visualisations in Pandas
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23, "titan": [30, 34], "titl": 0, "todo": 0, "trace": 10, "transpos": [18, 29], "true": [1, 11, 20, 21, 23, 25, 27], "type": [5, 7, 9, 17], "up": 26, "upgrad": 28, "us": [6, 7, 10, 11, 25, 31], "usag": [30, 33], "user": 23, "v": [24, 31], "valu": [6, 7, 8, 9, 30, 31], "variabl": [6, 7, 10, 17], "version": [0, 25], "visualis": 33, "w": 15, "w3school": 19, "wa": 25, "wai": 25, "welcom": [1, 27], "well": 15, "what": [2, 7, 8, 9, 11, 31], "when": [7, 8, 11, 31], "whether": 11, "which": 26, "while": 11, "why": [8, 29], "window": [23, 25], "word": 16, "work": [8, 9, 10, 30], "workspac": 20, "would": 25, "write": 30, "yaml": 3, "you": [5, 6, 25, 26], "your": 25, "z": 15}}) \ No newline at end of file diff --git a/_build/jupyter_execute/_to_be_deleted_later/markdown-notebooks.ipynb b/_build/jupyter_execute/_to_be_deleted_later/markdown-notebooks.ipynb index 0a8dadb0..fb4a3b74 100644 --- a/_build/jupyter_execute/_to_be_deleted_later/markdown-notebooks.ipynb +++ b/_build/jupyter_execute/_to_be_deleted_later/markdown-notebooks.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "a8841d69", + "id": "8fb60365", "metadata": {}, "source": [ "# Notebooks with MyST Markdown\n", @@ -23,7 +23,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "edbf7255", + "id": "5ab454be", "metadata": {}, "outputs": [ { @@ -40,7 +40,7 @@ }, { "cell_type": "markdown", - "id": "1a6d7661", + "id": "5600f9a5", "metadata": {}, "source": [ "When your book is built, the contents of any `{code-cell}` blocks will be\n", diff --git a/_build/jupyter_execute/_to_be_deleted_later/notebooks.ipynb b/_build/jupyter_execute/_to_be_deleted_later/notebooks.ipynb index 4f5c3ccf..2a0352f9 100644 --- a/_build/jupyter_execute/_to_be_deleted_later/notebooks.ipynb +++ b/_build/jupyter_execute/_to_be_deleted_later/notebooks.ipynb @@ -52,7 +52,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 1, diff --git a/_build/jupyter_execute/docs/pandas/00_pandas_start.ipynb b/_build/jupyter_execute/docs/pandas/00_pandas_start.ipynb index f9a5e2eb..98585364 100644 --- a/_build/jupyter_execute/docs/pandas/00_pandas_start.ipynb +++ b/_build/jupyter_execute/docs/pandas/00_pandas_start.ipynb @@ -149,17 +149,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pandas in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (2.2.2)\r\n", - "Requirement already satisfied: numpy>=1.23.2 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (1.26.4)\r\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2.8.2)\r\n", - "Requirement already satisfied: pytz>=2020.1 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2023.3.post1)\r\n", - "Requirement already satisfied: tzdata>=2022.7 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2023.3)\r\n" + "Requirement already satisfied: pandas in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (2.2.2)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Requirement already satisfied: numpy>=1.23.2 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (1.26.4)\r\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2.8.2)\r\n", + "Requirement already satisfied: pytz>=2020.1 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2023.3.post1)\r\n", + "Requirement already satisfied: tzdata>=2022.7 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2023.3)\r\n", "Requirement already satisfied: six>=1.5 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\r\n" ] } @@ -211,7 +211,13 @@ "Requirement already satisfied: numpy>=1.23.2 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (1.26.4)\r\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2023.3.post1)\r\n", - "Requirement already satisfied: tzdata>=2022.7 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2023.3)\r\n", + "Requirement already satisfied: tzdata>=2022.7 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from pandas) (2023.3)\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Requirement already satisfied: six>=1.5 in /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\r\n" ] }, diff --git a/_build/jupyter_execute/docs/pandas/02_Pandas_tabular_data.ipynb b/_build/jupyter_execute/docs/pandas/02_Pandas_tabular_data.ipynb index c2754463..2cc9843a 100644 --- a/_build/jupyter_execute/docs/pandas/02_Pandas_tabular_data.ipynb +++ b/_build/jupyter_execute/docs/pandas/02_Pandas_tabular_data.ipynb @@ -15,6 +15,20 @@ "# Read and Write Tabular Data" ] }, + { + "cell_type": "markdown", + "id": "fd7930e4-d137-499b-afed-b112cc278c67", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "![How to read and write tabular data](images/02_io_readwrite.svg)" + ] + }, { "cell_type": "markdown", "id": "9834ddce-1a75-469b-b7b2-c1b47bb174ad", @@ -33,20 +47,6 @@ "* Save and export your dataset to various file formats." ] }, - { - "cell_type": "markdown", - "id": "fd7930e4-d137-499b-afed-b112cc278c67", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "source": [ - "![How to read and write tabular data](images/02_io_readwrite.svg)" - ] - }, { "cell_type": "markdown", "id": "327363df-00cd-426e-9821-ac3f678a8f76", diff --git a/_build/jupyter_execute/docs/pandas/03_Pandas_subsets.ipynb b/_build/jupyter_execute/docs/pandas/03_Pandas_subsets.ipynb index a7fc2d33..faccd0f6 100644 --- a/_build/jupyter_execute/docs/pandas/03_Pandas_subsets.ipynb +++ b/_build/jupyter_execute/docs/pandas/03_Pandas_subsets.ipynb @@ -25,11 +25,11 @@ "* How can we select and filter specific columns and rows in a `DataFrame`?\n", "\n", "Objectives:\n", - "* Select specific columns from a `DataFrame` using square bracket notation.\n", - "* Use the loc property for label-based indexing in a DataFrame.\n", - "* Use the iloc property for position-based indexing in a DataFrame.\n", + "* Select specific columns from a `DataFrame` using square bracket notation (`[]`).\n", + "* Use the `loc` property for label-based indexing in a `DataFrame`.\n", + "* Use the `iloc` property for position-based indexing in a `DataFrame`.\n", "* Filter rows based on the presence or absence of missing values.\n", - "* Understand the differences and complementary uses of loc and iloc. " + "* Understand the differences and complementary uses of `.loc[]` and `.iloc[]`. " ] }, { diff --git a/_build/jupyter_execute/docs/pandas/04_pandas_summary_statistics.ipynb b/_build/jupyter_execute/docs/pandas/04_pandas_descriptive_statistics.ipynb similarity index 99% rename from _build/jupyter_execute/docs/pandas/04_pandas_summary_statistics.ipynb rename to _build/jupyter_execute/docs/pandas/04_pandas_descriptive_statistics.ipynb index 7755e151..9e6391d6 100644 --- a/_build/jupyter_execute/docs/pandas/04_pandas_summary_statistics.ipynb +++ b/_build/jupyter_execute/docs/pandas/04_pandas_descriptive_statistics.ipynb @@ -5,7 +5,7 @@ "id": "a9fc7c09-6376-4bf8-abd2-7596ac805d62", "metadata": {}, "source": [ - "# Summary Statistics" + "# Descriptive Statistics" ] }, { @@ -16,11 +16,11 @@ "```{admonition} Learning Objectives\n", "\n", "Questions:\n", - "* How can we calculate and analyse summary statistics using Pandas?\n", + "* How can we calculate and analyse descriptive statistics using Pandas?\n", "\n", "Objectives:\n", "* Use built-in methods for descriptive statistics.\n", - "* Use the split-apply-combind pattern to perform descriptive statistics on groupings of data.\n", + "* Use the split-apply-combine pattern to perform descriptive statistics on groupings of data.\n", "* Use different count methods on groupings of data." ] }, @@ -1169,7 +1169,7 @@ "source": [ "## Key points\n", "\n", - "* Aggregation statistics can be calculated on entire columns or rows.\n", + "* Descriptive statistics can be calculated on entire columns or rows.\n", "* `groupby()` provides the power of the **split-apply-combine** pattern.\n", "* `value_counts()` is a convenient shortcut to count the number of entries in each category of a variable." ] diff --git a/_build/jupyter_execute/docs/pandas/05_pandas_plot.ipynb b/_build/jupyter_execute/docs/pandas/05_pandas_plot.ipynb index 2405b429..94ad1762 100644 --- a/_build/jupyter_execute/docs/pandas/05_pandas_plot.ipynb +++ b/_build/jupyter_execute/docs/pandas/05_pandas_plot.ipynb @@ -8,6 +8,14 @@ "# Basic Visualisations in Pandas" ] }, + { + "cell_type": "markdown", + "id": "6eed7165-9b38-4ea1-bf39-85e434a39462", + "metadata": {}, + "source": [ + "![Plotting in Pandas](images/05_plot_overview.png)" + ] + }, { "cell_type": "markdown", "id": "e0108d8c-df58-4f7e-975e-269bac5ef530", @@ -23,14 +31,6 @@ "* Visualise your data with various plots." ] }, - { - "cell_type": "markdown", - "id": "6eed7165-9b38-4ea1-bf39-85e434a39462", - "metadata": {}, - "source": [ - "![Plotting in Pandas](images/05_plot_overview.png)" - ] - }, { "cell_type": "markdown", "id": "4410cdfb-1e4b-49fd-acb0-e8f0c16d80d1", diff --git a/_toc.yml b/_toc.yml index fa4c2c8d..d0b0b576 100644 --- a/_toc.yml +++ b/_toc.yml @@ -42,7 +42,7 @@ parts: - file: docs/pandas/01_pandas_dataframe - file: docs/pandas/02_pandas_tabular_data - file: docs/pandas/03_pandas_subsets - - file: docs/pandas/04_pandas_summary_statistics + - file: docs/pandas/04_pandas_descriptive_statistics - file: docs/pandas/05_pandas_plot # - caption: Other diff --git a/docs/pandas/.ipynb_checkpoints/02_Pandas_tabular_data-checkpoint.ipynb b/docs/pandas/.ipynb_checkpoints/02_Pandas_tabular_data-checkpoint.ipynb index 1868d3da..e6241fc9 100644 --- a/docs/pandas/.ipynb_checkpoints/02_Pandas_tabular_data-checkpoint.ipynb +++ b/docs/pandas/.ipynb_checkpoints/02_Pandas_tabular_data-checkpoint.ipynb @@ -15,6 +15,20 @@ "# Read and Write Tabular Data" ] }, + { + "cell_type": "markdown", + "id": "fd7930e4-d137-499b-afed-b112cc278c67", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "![How to read and write tabular data](images/02_io_readwrite.svg)" + ] + }, { "cell_type": "markdown", "id": "9834ddce-1a75-469b-b7b2-c1b47bb174ad", @@ -33,20 +47,6 @@ "* Save and export your dataset to various file formats." ] }, - { - "cell_type": "markdown", - "id": "fd7930e4-d137-499b-afed-b112cc278c67", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "source": [ - "![How to read and write tabular data](images/02_io_readwrite.svg)" - ] - }, { "cell_type": "markdown", "id": "327363df-00cd-426e-9821-ac3f678a8f76", diff --git a/docs/pandas/.ipynb_checkpoints/03_Pandas_subsets-checkpoint.ipynb b/docs/pandas/.ipynb_checkpoints/03_Pandas_subsets-checkpoint.ipynb index 38543e54..9cd61d19 100644 --- a/docs/pandas/.ipynb_checkpoints/03_Pandas_subsets-checkpoint.ipynb +++ b/docs/pandas/.ipynb_checkpoints/03_Pandas_subsets-checkpoint.ipynb @@ -25,11 +25,11 @@ "* How can we select and filter specific columns and rows in a `DataFrame`?\n", "\n", "Objectives:\n", - "* Select specific columns from a `DataFrame` using square bracket notation.\n", - "* Use the loc property for label-based indexing in a DataFrame.\n", - "* Use the iloc property for position-based indexing in a DataFrame.\n", + "* Select specific columns from a `DataFrame` using square bracket notation (`[]`).\n", + "* Use the `loc` property for label-based indexing in a `DataFrame`.\n", + "* Use the `iloc` property for position-based indexing in a `DataFrame`.\n", "* Filter rows based on the presence or absence of missing values.\n", - "* Understand the differences and complementary uses of loc and iloc. " + "* Understand the differences and complementary uses of `.loc[]` and `.iloc[]`. " ] }, { diff --git a/_build/html/_sources/docs/pandas/04_pandas_summary_statistics.ipynb b/docs/pandas/.ipynb_checkpoints/04_pandas_descriptive_statistics-checkpoint.ipynb similarity index 99% rename from _build/html/_sources/docs/pandas/04_pandas_summary_statistics.ipynb rename to docs/pandas/.ipynb_checkpoints/04_pandas_descriptive_statistics-checkpoint.ipynb index 9a58f902..2b426976 100644 --- a/_build/html/_sources/docs/pandas/04_pandas_summary_statistics.ipynb +++ b/docs/pandas/.ipynb_checkpoints/04_pandas_descriptive_statistics-checkpoint.ipynb @@ -5,7 +5,7 @@ "id": "a9fc7c09-6376-4bf8-abd2-7596ac805d62", "metadata": {}, "source": [ - "# Summary Statistics" + "# Descriptive Statistics" ] }, { @@ -16,11 +16,11 @@ "```{admonition} Learning Objectives\n", "\n", "Questions:\n", - "* How can we calculate and analyse summary statistics using Pandas?\n", + "* How can we calculate and analyse descriptive statistics using Pandas?\n", "\n", "Objectives:\n", "* Use built-in methods for descriptive statistics.\n", - "* Use the split-apply-combind pattern to perform descriptive statistics on groupings of data.\n", + "* Use the split-apply-combine pattern to perform descriptive statistics on groupings of data.\n", "* Use different count methods on groupings of data." ] }, @@ -1169,7 +1169,7 @@ "source": [ "## Key points\n", "\n", - "* Aggregation statistics can be calculated on entire columns or rows.\n", + "* Descriptive statistics can be calculated on entire columns or rows.\n", "* `groupby()` provides the power of the **split-apply-combine** pattern.\n", "* `value_counts()` is a convenient shortcut to count the number of entries in each category of a variable." ] diff --git a/docs/pandas/.ipynb_checkpoints/05_pandas_plot-checkpoint.ipynb b/docs/pandas/.ipynb_checkpoints/05_pandas_plot-checkpoint.ipynb index 0b8f156a..e04e75d1 100644 --- a/docs/pandas/.ipynb_checkpoints/05_pandas_plot-checkpoint.ipynb +++ b/docs/pandas/.ipynb_checkpoints/05_pandas_plot-checkpoint.ipynb @@ -8,6 +8,14 @@ "# Basic Visualisations in Pandas" ] }, + { + "cell_type": "markdown", + "id": "6eed7165-9b38-4ea1-bf39-85e434a39462", + "metadata": {}, + "source": [ + "![Plotting in Pandas](images/05_plot_overview.png)" + ] + }, { "cell_type": "markdown", "id": "e0108d8c-df58-4f7e-975e-269bac5ef530", @@ -23,14 +31,6 @@ "* Visualise your data with various plots." ] }, - { - "cell_type": "markdown", - "id": "6eed7165-9b38-4ea1-bf39-85e434a39462", - "metadata": {}, - "source": [ - "![Plotting in Pandas](images/05_plot_overview.png)" - ] - }, { "cell_type": "markdown", "id": "4410cdfb-1e4b-49fd-acb0-e8f0c16d80d1", diff --git a/docs/pandas/02_pandas_tabular_data.ipynb b/docs/pandas/02_pandas_tabular_data.ipynb index 1868d3da..e6241fc9 100644 --- a/docs/pandas/02_pandas_tabular_data.ipynb +++ b/docs/pandas/02_pandas_tabular_data.ipynb @@ -15,6 +15,20 @@ "# Read and Write Tabular Data" ] }, + { + "cell_type": "markdown", + "id": "fd7930e4-d137-499b-afed-b112cc278c67", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "![How to read and write tabular data](images/02_io_readwrite.svg)" + ] + }, { "cell_type": "markdown", "id": "9834ddce-1a75-469b-b7b2-c1b47bb174ad", @@ -33,20 +47,6 @@ "* Save and export your dataset to various file formats." ] }, - { - "cell_type": "markdown", - "id": "fd7930e4-d137-499b-afed-b112cc278c67", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "source": [ - "![How to read and write tabular data](images/02_io_readwrite.svg)" - ] - }, { "cell_type": "markdown", "id": "327363df-00cd-426e-9821-ac3f678a8f76", diff --git a/docs/pandas/03_pandas_subsets.ipynb b/docs/pandas/03_pandas_subsets.ipynb index 38543e54..9cd61d19 100644 --- a/docs/pandas/03_pandas_subsets.ipynb +++ b/docs/pandas/03_pandas_subsets.ipynb @@ -25,11 +25,11 @@ "* How can we select and filter specific columns and rows in a `DataFrame`?\n", "\n", "Objectives:\n", - "* Select specific columns from a `DataFrame` using square bracket notation.\n", - "* Use the loc property for label-based indexing in a DataFrame.\n", - "* Use the iloc property for position-based indexing in a DataFrame.\n", + "* Select specific columns from a `DataFrame` using square bracket notation (`[]`).\n", + "* Use the `loc` property for label-based indexing in a `DataFrame`.\n", + "* Use the `iloc` property for position-based indexing in a `DataFrame`.\n", "* Filter rows based on the presence or absence of missing values.\n", - "* Understand the differences and complementary uses of loc and iloc. " + "* Understand the differences and complementary uses of `.loc[]` and `.iloc[]`. " ] }, { diff --git a/docs/pandas/.ipynb_checkpoints/04_pandas_summary_statistics-checkpoint.ipynb b/docs/pandas/04_pandas_descriptive_statistics.ipynb similarity index 99% rename from docs/pandas/.ipynb_checkpoints/04_pandas_summary_statistics-checkpoint.ipynb rename to docs/pandas/04_pandas_descriptive_statistics.ipynb index 9a58f902..2b426976 100644 --- a/docs/pandas/.ipynb_checkpoints/04_pandas_summary_statistics-checkpoint.ipynb +++ b/docs/pandas/04_pandas_descriptive_statistics.ipynb @@ -5,7 +5,7 @@ "id": "a9fc7c09-6376-4bf8-abd2-7596ac805d62", "metadata": {}, "source": [ - "# Summary Statistics" + "# Descriptive Statistics" ] }, { @@ -16,11 +16,11 @@ "```{admonition} Learning Objectives\n", "\n", "Questions:\n", - "* How can we calculate and analyse summary statistics using Pandas?\n", + "* How can we calculate and analyse descriptive statistics using Pandas?\n", "\n", "Objectives:\n", "* Use built-in methods for descriptive statistics.\n", - "* Use the split-apply-combind pattern to perform descriptive statistics on groupings of data.\n", + "* Use the split-apply-combine pattern to perform descriptive statistics on groupings of data.\n", "* Use different count methods on groupings of data." ] }, @@ -1169,7 +1169,7 @@ "source": [ "## Key points\n", "\n", - "* Aggregation statistics can be calculated on entire columns or rows.\n", + "* Descriptive statistics can be calculated on entire columns or rows.\n", "* `groupby()` provides the power of the **split-apply-combine** pattern.\n", "* `value_counts()` is a convenient shortcut to count the number of entries in each category of a variable." ] diff --git a/docs/pandas/05_pandas_plot.ipynb b/docs/pandas/05_pandas_plot.ipynb index 0b8f156a..e04e75d1 100644 --- a/docs/pandas/05_pandas_plot.ipynb +++ b/docs/pandas/05_pandas_plot.ipynb @@ -8,6 +8,14 @@ "# Basic Visualisations in Pandas" ] }, + { + "cell_type": "markdown", + "id": "6eed7165-9b38-4ea1-bf39-85e434a39462", + "metadata": {}, + "source": [ + "![Plotting in Pandas](images/05_plot_overview.png)" + ] + }, { "cell_type": "markdown", "id": "e0108d8c-df58-4f7e-975e-269bac5ef530", @@ -23,14 +31,6 @@ "* Visualise your data with various plots." ] }, - { - "cell_type": "markdown", - "id": "6eed7165-9b38-4ea1-bf39-85e434a39462", - "metadata": {}, - "source": [ - "![Plotting in Pandas](images/05_plot_overview.png)" - ] - }, { "cell_type": "markdown", "id": "4410cdfb-1e4b-49fd-acb0-e8f0c16d80d1", diff --git a/docs/pandas/titanic.xlsx b/docs/pandas/titanic.xlsx index 9e9a1ad700140b73ea4f4ae71fbdc7e58da10caa..d156fa40e24e7d3962e09247ada275d8f8d731b6 100644 GIT binary patch delta 38 rcmZqv!rc6Yc|+3|7LL}3HJjVMXfd)xoyl