Interactive data visualization with Python

Interactive data visualization with Python: present your data as an effective and compelling story

by Belorkar Abha

Type Book
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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.

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Title Statements

  • Full title :Interactive data visualization with Python : present your data as an effective and compelling story / Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar.

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.

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Edition Statements

  • Publication Date:©2020
  • Edition:Second edition

Publication Statements

Notes

Interactive Data Visualization with Plotly Express

The Physical Object

  • Description:1 online resource (viii, 343 pages) : : color illustrations

Edition Identifiers

  • ISBN:9781800201064, 1800201060
  • oclc:on1152058711
  • LC Classification:QA76.73.P98
  • Dewey Decimal:006.6

Table of 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

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

Exercise 11: Tweaking the Plot Parameters of a Grouped Bar Plot -- Annotatio…

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