This is the website for the second edition of Data Visualization: A Practical Introduction by Kieran Healy, forthcoming from Princeton University Press. It contains a complete draft of the manuscript, and the book is not yet available for pre-order. According to the preface, the book teaches the ideas and methods of data visualization in a reproducible way.
Count is a collaborative platform for AI-powered analytics and research that requires explanations for AI-generated answers. Users work with data, files and tools to build canvases containing maps, charts and reports, with comments and tagging for teammates. A free tier includes one project, three canvases, up to five users and daily AI credit limits; the Pro plan costs $49 per editor per month with viewers free.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
A data and trends page from PeptaHub presenting statistics on peptide compounds, covering legal status, research evidence, administration routes and categories. The page states that 156 peptide profiles were analyzed across 10 therapeutic categories, 5 legal classifications and 6 routes of administration, with the dataset available as JSON and CSV downloads under CC BY 4.0.
JupyterLab is an extensible notebook authoring application and editing environment within Project Jupyter. A notebook combines code, text descriptions, data and visualizations. JupyterLab provides an environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas. It is a sibling to Jupyter Notebook and Jupyter Desktop and is described as offering a more advanced, customizable experience than Jupyter Notebook.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
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Count is a collaborative platform for AI-powered analytics and research that requires explanations for AI-generated answers. Users work with data, files and tools to build canvases containing maps, charts and reports, with comments and tagging for teammates. A free tier includes one project, three canvases, up to five users and daily AI credit limits; the Pro plan costs $49 per editor per month with viewers free.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
A data and trends page from PeptaHub presenting statistics on peptide compounds, covering legal status, research evidence, administration routes and categories. The page states that 156 peptide profiles were analyzed across 10 therapeutic categories, 5 legal classifications and 6 routes of administration, with the dataset available as JSON and CSV downloads under CC BY 4.0.
JupyterLab is an extensible notebook authoring application and editing environment within Project Jupyter. A notebook combines code, text descriptions, data and visualizations. JupyterLab provides an environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas. It is a sibling to Jupyter Notebook and Jupyter Desktop and is described as offering a more advanced, customizable experience than Jupyter Notebook.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
