Data Visualization Projects in Python [Video]

More Information
Learn
  • Set up different data visualization tools in Python such as bqplot, NetworkX, Bokeh, and Dash
  • Plot data in Jupyter Notebook using bqplot
  • Use bqplot to compare different US Presidential election trends
  • Analyze the trends in previous and current FIFA rankings
  • Use the NetworkX library to plot the LAN networks in your office space and organization
  • Visualize a social network with NetworkX
  • Plot weather forecasts using Bokeh, for the weather in US and UK
  • See the frequency of Moon missions undertaken by NASA over the years
  • Turn dash plots into interactive visualizations for major Android version releases and Walmart's growth
About

Some popular Python data visualization tools and techniques today include Data Visualization in Jupyter Notebook with Bloomberg's bqplot library, Programming Graph and Network Data Visualizations, Data Visualizations with Bokeh (a Python library), and building interactive web visualizations using Dash.

You will start by programming stunning interactive Data Visualizations using bqplot, an open source Python library developed by Bloomberg. Then you will learn how to programmatically create interactive network graphs and visualizations. You will then programmatically visualize data with the interactive Python visualization library, Bokeh.

Finally, you will build interactive web visualizations of data using Python: you will choose a number of inputs your users can control, then use any Python graphing library to create plots based on those inputs.

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Data-visualization-projects-in-python.

Style and Approach

This friendly course takes you through data visualization in Python using bqplot, NetworkX, Bokeh, and Dash. It is packed with step-by-step instructions and working examples. This comprehensive course is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most interest to you.

Features
  • Visualize, express, and plot your data and design efficient visualization solutions 
  • Solve any problem you might come across in visualizing your data
  • A practical tutorial designed for Python developers and data scientists to help them visualize their data using bqplot, NetworkX, Bokeh, and Dash.
Course Length 1 hour 6 minutes
ISBN 9781788830416
Date Of Publication 23 Apr 2018
Getting Started with Plotting with bqplot in Jupyter Notebook
Plots Comparing Different US Presidential Elections – Period 1
Plots Comparing Different US Presidential Elections – Period 2
Customize Plots to Show Wealth of Nations – Period 1
Customize Plots to Show Wealth of Nations – Period 2
Plotting Weather Data with Bokeh – Forecasts for the USA
Plotting Weather Data with Bokeh – Forecasts for the UK
Plotting Various Kinds of Plot with Bokeh – Manned Missions
Plotting Various Kinds of Plot with Bokeh – Unmanned Missions
Turning Dash Plots into Interactive Visualizations for Android Releases – Early Versions
Turning Dash Plots into Interactive Visualizations for Android Releases – Recent Versions
Customizing Visualizations for Walmart Growth with Dash (Geographical Area ‘A')
Customizing Visualizations for Walmart Growth with Dash (Geographical Area ‘B')

Authors

Harish Garg

Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.