Better data visualizations: (Record no. 4302)

MARC details
000 -LEADER
fixed length control field 02021nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221215131845.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221215b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780231193115
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.4226
Item number SCH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Schwabish,Jonathan
245 ## - TITLE STATEMENT
Title Better data visualizations:
Remainder of title a guide for scholars, researchers, and wonks
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Columbia University Press 
Place of publication, distribution, etc. New York
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 449 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 28.95
500 ## - GENERAL NOTE
General note Introduction<br/>Part I: Principles of Data Visualization<br/>1. Visual Processing and Perceptual Rankings<br/>2. Five Guidelines for Better Data Visualizations<br/>3. Form and Function<br/>Part II: Chart Types<br/>4. Comparing Categories<br/>5. Time<br/>6. Distribution<br/>7. Geospatial<br/>8. Relationship<br/>9. Part-to-Whole<br/>10. Qualitative<br/>11. Tables<br/>Part III: Designing and Redesigning Your Visual<br/>12. Developing a Data Visualization Style Guide<br/>13. Redesigns<br/>Conclusion<br/>Appendix 1. Data Visualization Tools<br/>Appendix 2. Further Reading and Resources<br/>Acknowledgments<br/>References<br/>Index
520 ## - SUMMARY, ETC.
Summary, etc. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Visual analytics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information visualization
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences IB/IN/779 24-11-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/15/2022 International Book Centre 1574.17 1 001.4226 SCH 004013 12/22/2023 11/10/2023 1 2394.17 12/15/2022 Book

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