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You're reading from  Interactive Data Visualization with Python - Second Edition

Product typeBook
Published inApr 2020
Reading LevelIntermediate
Publisher
ISBN-139781800200944
Edition2nd Edition
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Authors (4):
Abha Belorkar
Abha Belorkar
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Abha Belorkar

Abha Belorkar is an educator and researcher in computer science. She received her bachelor's degree in computer science from Birla Institute of Technology and Science Pilani, India and her Ph.D. from the National University of Singapore. Her current research work involves the development of methods powered by statistics, machine learning, and data visualization techniques to derive insights from heterogeneous genomics data on neurodegenerative diseases.
Read more about Abha Belorkar

Sharath Chandra Guntuku
Sharath Chandra Guntuku
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Sharath Chandra Guntuku

Sharath Chandra Guntuku is a researcher in natural language processing and multimedia computing. He received his bachelor's degree in computer science from Birla Institute of Technology and Science, Pilani, India and his Ph.D. from Nanyang Technological University, Singapore. His research aims to leverage large-scale social media image and text data to model social health outcomes and psychological traits. He uses machine learning, statistical analysis, natural language processing, and computer vision to answer questions pertaining to health and psychology in individuals and communities.
Read more about Sharath Chandra Guntuku

Shubhangi Hora
Shubhangi Hora
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Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.
Read more about Shubhangi Hora

Anshu Kumar
Anshu Kumar
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Anshu Kumar

Anshu Kumar is a data scientist with over 5 years of experience in solving complex problems in natural language processing and recommendation systems. He has an M.Tech. from IIT Madras in computer science. He is also a mentor at SpringBoard. His current interests are building semantic search, text summarization, and content recommendations for large-scale multilingual datasets.
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Cheat Sheet for the Visualization Process

We have looked at various static and interactive visualization plots. But when we look at a dataset, how do we arrive at a conclusion regarding which visualization suits our needs? Let's take a look at the following flow charts to understand how to make a decision quickly regarding which plot we should choose and what interactive features to add to the plot to represent the data in a meaningful way. Let's take a look at the following diagram:

Figure 7.21a: Guideline of how to create a great visualization
Figure 7.21b: Guideline of how to create a great visualization

This flow chart acts as a cheat sheet so that you can arrive at a conclusion regarding how to create a quick visualization based on a dataset.

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Interactive Data Visualization with Python - Second Edition
Published in: Apr 2020Publisher: ISBN-13: 9781800200944

Authors (4)

author image
Abha Belorkar

Abha Belorkar is an educator and researcher in computer science. She received her bachelor's degree in computer science from Birla Institute of Technology and Science Pilani, India and her Ph.D. from the National University of Singapore. Her current research work involves the development of methods powered by statistics, machine learning, and data visualization techniques to derive insights from heterogeneous genomics data on neurodegenerative diseases.
Read more about Abha Belorkar

author image
Sharath Chandra Guntuku

Sharath Chandra Guntuku is a researcher in natural language processing and multimedia computing. He received his bachelor's degree in computer science from Birla Institute of Technology and Science, Pilani, India and his Ph.D. from Nanyang Technological University, Singapore. His research aims to leverage large-scale social media image and text data to model social health outcomes and psychological traits. He uses machine learning, statistical analysis, natural language processing, and computer vision to answer questions pertaining to health and psychology in individuals and communities.
Read more about Sharath Chandra Guntuku

author image
Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.
Read more about Shubhangi Hora

author image
Anshu Kumar

Anshu Kumar is a data scientist with over 5 years of experience in solving complex problems in natural language processing and recommendation systems. He has an M.Tech. from IIT Madras in computer science. He is also a mentor at SpringBoard. His current interests are building semantic search, text summarization, and content recommendations for large-scale multilingual datasets.
Read more about Anshu Kumar