eBook
Visualize This : The FlowingData Guide to Design, Visualization, and Statistics
| Τίτλος: | Visualize This : The FlowingData Guide to Design, Visualization, and Statistics |
|---|---|
| Περιγραφή: | One of the most influential data visualization books—updated with new techniques, technologies, and examples Visualize This demonstrates how to explain data visually, so that you can present and communicate information in a way that is appealing and easy to understand. Today, there is a continuous flow of data available to answer almost any question. Thoughtful charts, maps, and analysis can help us make sense of this data. But the data does not speak for itself. As leading data expert Nathan Yau explains in this book, graphics provide little value unless they are built upon a firm understanding of the data behind them. Visualize This teaches you a data-first approach from a practical point of view. You'll start by exploring what your data has to say, and then you'll design visualizations that are both remarkable and meaningful. With this book, you'll discover what tools are available to you without becoming overwhelmed with options. You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing. You'll learn to ask and answer questions with data, so that you can make charts that are both beautiful and useful. Visualize This also provides you with opportunities to apply what you learn to your own data. This completely updated, full-color second edition: Presents a unique approach to visualizing and telling stories with data, from data visualization expert Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design Details tools that can be used to visualize data graphics for reports, presentations, and stories, for the web or for print, with major updates for the latest R packages, Python libraries, JavaScript libraries, illustration software, and point-and-click applications Contains numerous examples and descriptions of patterns and outliers and explains how to show them Information designers, analysts, journalists, statisticians, data scientists—as well as anyone studying for careers in these fields—will gain a valuable background in the concepts and techniques of data visualization, thanks to this legendary book. |
| Συγγραφείς: | Nathan Yau |
| Resource Type: | eBook. |
| Θέματα: | Graphic methods--Computer programs, Statistics--Graphic methods--Data processing |
| Categories: | COMPUTERS / Data Science / Data Visualization, COMPUTERS / Data Science / Data Analytics |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3879128 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Visualize This : The FlowingData Guide to Design, Visualization, and Statistics – Name: Abstract Label: Description Group: Ab Data: One of the most influential data visualization books—updated with new techniques, technologies, and examples Visualize This demonstrates how to explain data visually, so that you can present and communicate information in a way that is appealing and easy to understand. Today, there is a continuous flow of data available to answer almost any question. Thoughtful charts, maps, and analysis can help us make sense of this data. But the data does not speak for itself. As leading data expert Nathan Yau explains in this book, graphics provide little value unless they are built upon a firm understanding of the data behind them. Visualize This teaches you a data-first approach from a practical point of view. You'll start by exploring what your data has to say, and then you'll design visualizations that are both remarkable and meaningful. With this book, you'll discover what tools are available to you without becoming overwhelmed with options. You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing. You'll learn to ask and answer questions with data, so that you can make charts that are both beautiful and useful. Visualize This also provides you with opportunities to apply what you learn to your own data. This completely updated, full-color second edition: Presents a unique approach to visualizing and telling stories with data, from data visualization expert Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design Details tools that can be used to visualize data graphics for reports, presentations, and stories, for the web or for print, with major updates for the latest R packages, Python libraries, JavaScript libraries, illustration software, and point-and-click applications Contains numerous examples and descriptions of patterns and outliers and explains how to show them Information designers, analysts, journalists, statisticians, data scientists—as well as anyone studying for careers in these fields—will gain a valuable background in the concepts and techniques of data visualization, thanks to this legendary book. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nathan+Yau%22">Nathan Yau</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Graphic+methods--Computer+programs%22">Graphic methods--Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics--Graphic+methods--Data+processing%22">Statistics--Graphic methods--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Visualization%22">COMPUTERS / Data Science / Data Visualization</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3879128 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.55 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Graphic methods--Computer programs Type: general – SubjectFull: Statistics--Graphic methods--Data processing Type: general Titles: – TitleFull: Visualize This : The FlowingData Guide to Design, Visualization, and Statistics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nathan Yau – PersonEntity: Name: NameFull: Nathan Yau IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 24 M: 05 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9781394214860 – Type: isbn-electronic Value: 9781394214884 – Type: isbn-electronic Value: 9781394214877 Titles: – TitleFull: Visualize This : The FlowingData Guide to Design, Visualization, and Statistics Type: main |
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