| Edition |
Second edition. |
| Description |
1 online resource (viii, 343 pages) : color illustrations |
| Contents |
Cover -- FM -- Copyright -- Table of Contents -- Preface -- Chapter 1: Introduction to Visualization with Python -- Basic and Customized Plotting -- Introduction -- Handling Data with pandas DataFrame -- Reading Data from Files -- Exercise 1: Reading Data from Files -- Observing and Describing Data -- Exercise 2: Observing and Describing Data -- Selecting Columns from a DataFrame -- Adding New Columns to a DataFrame -- Exercise 3: Adding New Columns to the DataFrame -- Applying Functions on DataFrame Columns -- Exercise 4: Applying Functions on DataFrame columns |
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Exercise 5: Applying Functions on Multiple Columns -- Deleting Columns from a DataFrame -- Exercise 6: Deleting Columns from a DataFrame -- Writing a DataFrame to a File -- Exercise 7: Writing a DataFrame to a File -- Plotting with pandas and seaborn -- Creating Simple Plots to Visualize a Distribution of Variables -- Exercise 8: Plotting and Analyzing a Histogram -- Bar Plots -- Exercise 9: Creating a Bar Plot and Calculating the Mean Price Distribution -- Exercise 10: Creating Bar Plots Grouped by a Specific Feature -- Tweaking Plot Parameters |
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Exercise 11: Tweaking the Plot Parameters of a Grouped Bar Plot -- Annotations -- Exercise 12: Annotating a Bar Plot -- Activity 1: Analyzing Different Scenarios and Generating the Appropriate Visualization -- Summary -- Chapter 2: Static Visualization -- Global Patterns and Summary Statistics -- Introduction -- Creating Plots that Present Global Patterns in Data -- Scatter Plots -- Exercise 13: Creating a Static Scatter Plot -- Hexagonal Binning Plots -- Exercise 14: Creating a Static Hexagonal Binning Plot -- Contour Plots -- Exercise 15: Creating a Static Contour Plot -- Line Plots |
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Exercise 16: Creating a Static Line Plot -- Exercise 17: Presenting Data across Time with multiple Line Plots -- Heatmaps -- Exercise 18: Creating and Exploring a Static Heatmap -- The Concept of Linkage in Heatmaps -- Exercise 19: Creating Linkage in Static Heatmaps -- Creating Plots That Present Summary Statistics of Your Data -- Histogram Revisited -- Example 1: Histogram Revisited -- Box Plots -- Exercise 20: Creating and Exploring a Static Box Plot -- Violin Plots -- Exercise 21: Creating a Static Violin Plot |
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Activity 2: Design Static Visualization to Present Global Patterns and Summary Statistics -- Summary -- Chapter 3: From Static to Interactive Visualization -- Introduction -- Static versus Interactive Visualization -- Applications of Interactive Data Visualizations -- Getting Started with Interactive Data Visualizations -- Interactive Data Visualization with Bokeh -- Exercise 22: Preparing Our Dataset -- Exercise 23: Creating the Base Static Plot for an Interactive Data Visualization -- Exercise 24: Adding a Slider to the Static Plot -- Exercise 25: Adding a Hover Tool |
| Note |
Interactive Data Visualization with Plotly Express |
| Summary |
Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python, and most importantly, helps you make your storytelling more intuitive and persuasive. |
| Access |
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK). WlAbNL |
| Terms Of Use |
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. WlAbNL |
| Bibliography |
Includes bibliographical references and index. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Python (Computer program language)
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Information visualization.
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Programming & scripting languages: general. |
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Information visualization. |
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Computers -- Programming Languages -- Python. |
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Computers -- Programming Languages -- General. |
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Information visualization |
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Python (Computer program language) |
| Added Author |
Guntuku, Sharath Chandra, author.
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Hora, Shubhangi, author.
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Kumar, Anshu, author.
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| Other Form: |
Print version: Belorkar, Abha. Interactive Data Visualization with Python : Present Your Data As an Effective and Compelling Story, 2nd Edition. Birmingham : Packt Publishing, Limited, ©2020 |
| ISBN |
9781800201064 (electronic bk.) |
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1800201060 (electronic bk.) |
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9781800200944 (print) |
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