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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
Languages
Python
Tools
Matplotlib
Concepts
Data Visualization
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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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Getting Started with Interactive Data Visualizations

As we mentioned earlier, the key aspect of interactive data visualizations is its ability to respond and react to human inputs either in the moment or within a very short time span. Thus, human inputs themselves play an important role in interactive data visualizations. In this section, we'll look at some human inputs, how they can be introduced into data visualizations, and the impact that they have on the comprehension of data.

The following are some of the most popular forms of human input and interactive features:

  • Slider: A slider allows the user to see data pertaining to a range of something. As the user changes the position of the slider, the plot changes in real time. This allows the user to see several plots in real time:
Figure 3.10: A slider tool
  • Hover: Hovering a cursor above an element of a plot allows the user to receive more information about the datapoint than can be seen just by observing...
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Interactive Data Visualization with Python - Second Edition
Published in: Apr 2020Publisher: ISBN-13: 9781800200944
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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

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