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

Product typeBook
Published inApr 2020
Reading LevelIntermediate
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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.
Read more about Anshu Kumar

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Visualization of Temporal Data

In temporal data visualization, time is the independent variable and the other features that are being visualized are plotted against time. So, the other features are dependent variables. Usually, time is plotted on the x axis, while the dependent variables are plotted on the y axis. We can see a few plots here:

  • Line graph:
Figure 5.5: Line plot representing temporal data

This line graph shows the percentage change in the population of a country for each year. If multiple lines are plotted on the same graph, then it gives us a comparative study of the features. Lines plots are easy to interpret and also simple to plot.

  • Grouped bar chart:
Figure 5.6: Grouped bar plot representing temporal data

This grouped bar chart shows the counts of medals (shown on the y axis) received in 2012, 2014, and 2016. Having many lines on the same line graph plot makes visibility and comparability poor...

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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