Avoiding data pitfalls: how to steer clear of common blunders when working with data and presenting analysis and visualizations
"Avoiding Data Pitfalls is a useful resource that points out common data viz. mistakes so that users can avoid making them and notice them when they are made by others. Working with data is so common now, but the vast majority of "data workers" were trained in another technical field...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Hoboken, New Jersey
Wiley
[2020]
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| Subjects: | |
| Summary: | "Avoiding Data Pitfalls is a useful resource that points out common data viz. mistakes so that users can avoid making them and notice them when they are made by others. Working with data is so common now, but the vast majority of "data workers" were trained in another technical field like engineering or science. Most were not explicitly taught how to successfully work with today's tools and the types of data at their disposal. This book will provide illustrative examples of common mistakes, first outlining how we often think about data and the "data-reality gap," before walking the reader through each step of successful data visualization, from calculating and analyzing data to eventually presenting it in a way that is both clear and effective. The author will detail common data viz. blunders like cluttered design and ineffective use of color so that the reader can differentiate between a poor presentation and something truly representative and useful"-- |
| Physical Description: | xii, 258 Seiten Illustrationen, Diagramme |
| ISBN: | 9781119278160 |
Staff View
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| 520 | |a "Avoiding Data Pitfalls is a useful resource that points out common data viz. mistakes so that users can avoid making them and notice them when they are made by others. Working with data is so common now, but the vast majority of "data workers" were trained in another technical field like engineering or science. Most were not explicitly taught how to successfully work with today's tools and the types of data at their disposal. This book will provide illustrative examples of common mistakes, first outlining how we often think about data and the "data-reality gap," before walking the reader through each step of successful data visualization, from calculating and analyzing data to eventually presenting it in a way that is both clear and effective. The author will detail common data viz. blunders like cluttered design and ineffective use of color so that the reader can differentiate between a poor presentation and something truly representative and useful"-- | ||
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| dewey-ones | 001 - Knowledge |
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| id | DE-604.BV046302507 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:41:05Z |
| institution | BVB |
| isbn | 9781119278160 |
| language | English |
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| physical | xii, 258 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Wiley |
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| spelling | Jones, Ben 1978- Verfasser aut Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations Ben Jones Hoboken, New Jersey Wiley [2020] xii, 258 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier "Avoiding Data Pitfalls is a useful resource that points out common data viz. mistakes so that users can avoid making them and notice them when they are made by others. Working with data is so common now, but the vast majority of "data workers" were trained in another technical field like engineering or science. Most were not explicitly taught how to successfully work with today's tools and the types of data at their disposal. This book will provide illustrative examples of common mistakes, first outlining how we often think about data and the "data-reality gap," before walking the reader through each step of successful data visualization, from calculating and analyzing data to eventually presenting it in a way that is both clear and effective. The author will detail common data viz. blunders like cluttered design and ineffective use of color so that the reader can differentiate between a poor presentation and something truly representative and useful"-- Information visualization Quantitative research Erscheint auch als Online-Ausgabe 978-1-119-27819-1 |
| spellingShingle | Jones, Ben 1978- Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations Information visualization Quantitative research |
| title | Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations |
| title_auth | Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations |
| title_exact_search | Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations |
| title_full | Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations Ben Jones |
| title_fullStr | Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations Ben Jones |
| title_full_unstemmed | Avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations Ben Jones |
| title_short | Avoiding data pitfalls |
| title_sort | avoiding data pitfalls how to steer clear of common blunders when working with data and presenting analysis and visualizations |
| title_sub | how to steer clear of common blunders when working with data and presenting analysis and visualizations |
| topic | Information visualization Quantitative research |
| topic_facet | Information visualization Quantitative research |
| work_keys_str_mv | AT jonesben avoidingdatapitfallshowtosteerclearofcommonblunderswhenworkingwithdataandpresentinganalysisandvisualizations |