Visual Insights : A Practical Guide to Making Sense of Data
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| Title: | Visual Insights : A Practical Guide to Making Sense of Data |
|---|---|
| Description: | A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to use open code and open data to design insightful visualizations. Readers will learn to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data.The book, developed for use in an information visualization MOOC, covers data analysis algorithms that enable extraction of patterns and trends in data, with chapters devoted to “when” (temporal data), “where” (geospatial data), “what” (topical data), and “with whom” (networks and trees); and to systems that drive research and development. Examples of projects undertaken for clients include an interactive visualization of the success of game player activity in World of Warcraft; a visualization of 311 number adoption that shows the diffusion of non-emergency calls in the United States; a return on investment study for two decades of HIV/AIDS research funding by NIAID; and a map showing the impact of the HiveNYC Learning Network.Visual Insights will be an essential resource on basic information visualization techniques for scholars in many fields, students, designers, or anyone who works with data. |
| Authors: | Katy Börner, David E. Polley |
| Resource Type: | eBook. |
| Subjects: | Distance education--Computer-assisted instruction, MOOCs (Web-based instruction), Internet in education, Visualization--Data processing, Information visualization, Computer graphics, Data mining--Computer programs |
| Categories: | LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General, COMPUTERS / Data Science / Data Visualization |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Visual Insights : A Practical Guide to Making Sense of Data – Name: Abstract Label: Description Group: Ab Data: A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to use open code and open data to design insightful visualizations. Readers will learn to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data.The book, developed for use in an information visualization MOOC, covers data analysis algorithms that enable extraction of patterns and trends in data, with chapters devoted to “when” (temporal data), “where” (geospatial data), “what” (topical data), and “with whom” (networks and trees); and to systems that drive research and development. Examples of projects undertaken for clients include an interactive visualization of the success of game player activity in World of Warcraft; a visualization of 311 number adoption that shows the diffusion of non-emergency calls in the United States; a return on investment study for two decades of HIV/AIDS research funding by NIAID; and a map showing the impact of the HiveNYC Learning Network.Visual Insights will be an essential resource on basic information visualization techniques for scholars in many fields, students, designers, or anyone who works with data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Katy+Börner%22">Katy Börner</searchLink><br /><searchLink fieldCode="AR" term="%22David+E%2E+Polley%22">David E. Polley</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Distance+education--Computer-assisted+instruction%22">Distance education--Computer-assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22MOOCs+%28Web-based+instruction%29%22">MOOCs (Web-based instruction)</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+in+education%22">Internet in education</searchLink><br /><searchLink fieldCode="DE" term="%22Visualization--Data+processing%22">Visualization--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Information+visualization%22">Information visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics%22">Computer graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining--Computer+programs%22">Data mining--Computer programs</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22LANGUAGE+ARTS+%26+DISCIPLINES+%2F+Library+%26+Information+Science+%2F+General%22">LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Visualization%22">COMPUTERS / Data Science / Data Visualization</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 001.4226028566 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Distance education--Computer-assisted instruction Type: general – SubjectFull: MOOCs (Web-based instruction) Type: general – SubjectFull: Internet in education Type: general – SubjectFull: Visualization--Data processing Type: general – SubjectFull: Information visualization Type: general – SubjectFull: Computer graphics Type: general – SubjectFull: Data mining--Computer programs Type: general Titles: – TitleFull: Visual Insights : A Practical Guide to Making Sense of Data Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Katy Börner – PersonEntity: Name: NameFull: David E. Polley – PersonEntity: Name: NameFull: Katy Börner – PersonEntity: Name: NameFull: David E. Polley IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2014 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780262526197 – Type: isbn-electronic Value: 9780262320238 Titles: – TitleFull: Visual Insights : A Practical Guide to Making Sense of Data Type: main |
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