Skip to content
View jacquie0583's full-sized avatar

Block or report jacquie0583

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jacquie0583/README.md

Welcome

Jacquelyn Harland's Portfolio

Data Engineer/Scientist - Technical Proficiencies

* Areas of Expertise: Statistical Concepts, Information Management, Process Improvement, Software Documentation, Systems Planning, Project & Program Management, Customer Interactions, User Acceptance Testing, Leadership. Team collaporation on Git
* Tools: SQL/NoSQL, R, Python (Pandas, NumPy, Flask), ETL, Airflow Support, Tableau, Power BI Visualization, D3.js, Plotly, Matplotlib, Machine Learning-Supervise, Unsupervised, Neural Netork Creation and management of Docker containers, Warehousing, Probability, Statistics.
* Databases: Azure Databricks, Data Factory, SQLAlchemy, MongoDB, PostgreSQL, AWS, SQL Server.

SKILLS PROGRAMMING LANGUAGES & TOOLS:

MACHINE LEARNING Natural Language Processing, Scikit-learn, PyTorch, Keras ,TensorFlow

BIG DATA ANALYTICS Hadoop, PySpark, AWS, Google, Cloud, S3

STATISTICS Modeling & Forecasting

PYTHON PROGRAMMING Python, Pandas, NumPy ,Matplotlib, Seaborn, Flask, API, Interactions, Social ,Media Mining

DATABASES MySQL, MongoDB, ETL, SQL

FRONT-END WEB VISUALIZATION HTML, CSS, Bootstrap, Dashboarding, JavaScript, Charting D3.js, Plotly, Geomapping, with Leaflet.js

BUSINESS INTELLIGENCE SOFTWARE Tableau Dashboard Creation & Geo Mapping

LEADERSHIP, Team Managment

Project 1: Belly Button Biodiversity Dashboard using Plotly

Resources

Data Source: BellyButton_bar_chart_starter_code.js, BellyButton_bubble_chart_starter_code.js, BellyButton_bubble_chart_starter_code.js and index.html • Data Tools: ECMAScript, JavaScript, JSON and IO (Web Server) • Software: ES6+, ECMAScript and Visual Studio Code 1.50.0\

Overview

Plotly provides graphing, analytics, and statistics tools, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST. Plotly is an open-source library that provides a list of chart types as well as tools with callbacks to make a dashboard. The charts we have constructed and embedded are all made in chart studio of plotly. When Mrs. Roza came to us, she had partially completed a dashboard. A completed panel for demographic information allows for a user-friendly convenience. We have constructed a chart to visualize the bacterial data for each volunteer allowing them to identify the top 10 bacterial species in their belly buttons. Furnishing this information will allow Improbable Beef the ability to identify a species, as a candidate, to manufacture synthetic beef. Roza's volunteers will be able to identify whether that species is found in their navel. The interactive dashboard explores the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels. The dataset reveals that a small handful of microbial species (also called operational taxonomic units, or OTUs, in the study) were present in more than 70% of people, while the rest were relatively rare.

Elements Constructed:

  1. Horizontal Bar Chart
  2. Bubble Chart
  3. Gauge Chart
  4. Customize the Dashboard
  5. Report on the Belly Button Biodiversity Dashboard analysis

Interactive Dashboard

1: Horizontal Bar Chart

Using JavaScript, Plotly, and D3.js, we created a horizontal bar chart to display the top 10 bacterial species (OTUs) when an individual’s ID is selected from the dropdown menu on the webpage. The horizontal bar chart displays the sample_values as the values, the otu_ids as the labels, and the otu_labels as the hover text for the bars on the chart.

Code and Image

 1. Code is written to create the arrays when a sample is selected from the dropdown menu.
 2. Code is written to create the trace object in the buildCharts() function, and it contains the following:
     o	The y values are the otu_ids in descending order.
     o	The x values are the sample_values in descending order
     o	The hover text is the otu_labels in descending order.
 3.	Code is written to create the layout array in the buildCharts() function that creates a title for the chart.
 4.	When the dashboard is first opened in a browser, ID 940’s data should be displayed in the dashboard, and the bar chart has the              following:
      o	The top 10 sample_values are sorted in descending order
      o	The top 10 sample_values as values
      o	The otu_ids as the labels

2: Bubble Chart

Using your knowledge of JavaScript, Plotly, and D3.js, create a bubble chart that will display the following when an individual’s ID is selected from the dropdown menu webpage:

  •	The otu_ids as the x-axis values.
  •	The sample_values as the y-axis values.
  •	The sample_values as the marker size.
  •	The otu_ids as the marker colors.
  •	The otu_labels as the hover-text values.
  
1. The code for the trace object in the buildCharts(); function does the following:
   o	Sets the otu_ids as the x-axis values
   o	Sets the sample_values as the y-axis values
   o	Sets the otu_labels as the hover-text values
   o	Sets the sample_values as the marker size
   o	Sets the otu_ids as the marker colors
2. The code for the layout in the buildCharts(); function does the following:
   o	Creates a title
   o	Creates a label for the x-axis
   o	The text for a bubble is shown when hovered over
3. When the dashboard is first opened in a browser, ID 940’s data should be displayed in the dashboard. All three charts should also          be working according to their            requirements when a sample is selected from the dropdown menu.

Code and Image

3: Gauge Chart

Finally we created a gauge chart that displays the weekly washing frequency's value, and display the value as a measure from 0-10 on the progress bar in the gauge chart when an individual ID is selected from the dropdown menu.

Code and Image

 1.	The code to build the gauge chart does the following:
      o	Creates a title for the chart.
      o	Creates the ranges for the gauge in increments of two, with a different color for each increment.
      o	Adds the washing frequency value on the gauge chart.
      o	The indicator shows the level for the washing frequency on the gauge.
      o	The gauge is added to the dashboard.
      o	The gauge fits in the margin of the <div> element.
  2.	When the webpage loads, the bar and bubble chart are working according to the requirements in Deliverable 1 and 2, respectively,            and the gauge chart is working according to the requirements listed for this Deliverable

Pinned Loading

  1. World_Weather_Analysis World_Weather_Analysis Public

    APIs to Visualize Weather Data: a beta version of an application for potential travel technology services that specializes in hotel and logging industry. The application collects and presents data …

    Jupyter Notebook 2

  2. Movies-ETL Movies-ETL Public

    ETL to Collect, Import, and Process Data: The Amazing Prime, a video streaming company, decided to sponsor a hackathon, where participants try to predict which low budget movies being released will…

    Jupyter Notebook 1

  3. Surfs_Up Surfs_Up Public

    Weather Analysis for a Business Plan for A Surf n' Shake Shop: in Hawaii, a shop that sells surf boards and ice cream in Oahu, Hawaii, the weather has to be in our favor most days of a year. A perf…

    Jupyter Notebook 1

  4. Mapping_Earthquakes Mapping_Earthquakes Public

    An interactive earthquake map with JavaScript and Leaflet: created an interactive map that shows the latest earthquake activity around the world. Maps allow us to explore, understand and make decis…

    JavaScript 1

  5. Biodiversity-Dashboard-using-Plotly Biodiversity-Dashboard-using-Plotly Public

    Dynamic Dashboard of Belly Button Sample Data: an interactive dashboard, a creative visualization that offers interactivity which can help the audience better understand the data and draw the same …

    JavaScript 1

  6. UFOs UFOs Public

    JavaScript, HTML, Plotly, CSS to create custom webpage that showcases different UFO sightings. Build a dynamic web-page that displays UFOs sightings information for upcoming annual gathering of UFO…

    JavaScript 1 2