Fundamentals of data visualization : a primer on making informative and compelling figures / First edition
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| 100 | 1 | ▼a Wilke, C. ▼q (Claus), ▼e author. |
| 245 | 1 0 | ▼a Fundamentals of data visualization : ▼b a primer on making informative and compelling figures / ▼c Claus O. Wilke. |
| 250 | ▼a First edition. | |
| 260 | ▼a Sebastopol, CA : ▼b O'Reilly Media, ▼c c2019. | |
| 300 | ▼a xvi, 370 p. : ▼b col. ill. ; ▼c 24 cm. | |
| 336 | ▼a text ▼b txt ▼2 rdacontent | |
| 336 | ▼a still image ▼b sti ▼2 rdacontent | |
| 336 | ▼a cartographic image ▼b cri ▼2 rdacontent | |
| 337 | ▼a unmediated ▼b n ▼2 rdamedia | |
| 338 | ▼a volume ▼b nc ▼2 rdacarrier | |
| 504 | ▼a Includes bibliographical references (p. 357-359) and index. | |
| 505 | 0 | ▼a Introduction : ugly, bad, and wrong figures -- Part 1. From data to visualization. Visualizing data : mapping data onto aesthetics -- Coordinate systems and axes -- Color scales -- Directory of visualizations -- Visualizing amounts -- Visualizing distributions : histograms and density plots -- Visualizing distributions : empirical cumulative distribution functions and Q-Q plots -- Visualizing many distributions at once -- Visualizing proportions -- Visualizing nested proportions -- Visualizing associations among two or more quantitative variables -- Visualizing time series and other functions of an independent variable -- Visualizing trends -- Visualizing geospatial data -- Visualizing uncertainty -- Part 2. Principles of figure design. The principle of proportional ink -- Handling overlapping points -- Common pitfalls of color use -- Redundant coding -- Multipanel figures -- Titles, captions, and tables -- Balance the data and the context -- Use larger axis labels -- Avoid line drawings -- Don't go 3D -- Part 3. Miscellaneous topics. Understanding the most commonly used image file formats -- Choosing the right visualization software -- Telling a story and making a point. |
| 520 | ▼a "Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization."--Provided by publisher | |
| 650 | 0 | ▼a Information visualization. |
| 650 | 0 | ▼a Visual analytics. |
| 650 | 0 | ▼a Visualization ▼x Data processing. |
| 650 | 2 | ▼a Data Visualization. |
| 650 | 7 | ▼a Information visualization. ▼2 fast. |
| 650 | 7 | ▼a Visual analytics. ▼2 fast. |
| 650 | 7 | ▼a Visualization ▼x Data processing. ▼2 fast. |
| 650 | 7 | ▼a Datenverarbeitung ▼2 gnd. |
| 650 | 7 | ▼a Visualisierung ▼2 gnd. |
| 650 | 7 | ▼a Informationsgrafik ▼2 gnd. |
| 655 | 7 | ▼a Handbooks and manuals. ▼2 fast |
| 655 | 7 | ▼a Handbooks and manuals. ▼2 lcgft |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 001.4226 W681f | 등록번호 111843247 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.
- Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value
- Understand the importance of redundant coding to ensure you provide key information in multiple ways
- Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations
- Get extensive examples of good and bad figures
- Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
정보제공 :
저자소개
클라우스 윌케(지은이)
텍사스 대학교 오스틴 캠퍼스의 통합 생물학 교수다. 독일 보훔 루르 대학교에서 이론 물리학 박사 학위를 받았다. 계산생물학, 수학적 모델링, 생물정보학, 진화생물학, 단백생화학, 바이러스학, 통계학을 주제로 한 과학 논문 170편 이상을 단독 또는 공동으로 저술했다. 카우플롯(cowplot), 지지릿지(ggridges) 등 데이터 시각화에 쓰이는 인기 R 패키지를 작성하고, 지지플롯2(ggplot2) 패키지 제작에도 기여했다.