ShinyFork is a tool for exploring over 15,000 album reviews from Pitchfork.com, an online music editorial. ShinyFork was written in R using the Shiny and ggplot2 packages. The data was collected using ScraperWiki.
Access the interactive application at mattbrehmer.shinyapps.io/ShinyFork
| This is free and unencumbered software released into the public domain. | |
| Anyone is free to copy, modify, publish, use, compile, sell, or | |
| distribute this software, either in source code form or as a compiled | |
| binary, for any purpose, commercial or non-commercial, and by any | |
| means. | |
| In jurisdictions that recognize copyright laws, the author or authors | |
| of this software dedicate any and all copyright interest in the | |
| software to the public domain. We make this dedication for the benefit |
| This is free and unencumbered software released into the public domain. | |
| Anyone is free to copy, modify, publish, use, compile, sell, or | |
| distribute this software, either in source code form or as a compiled | |
| binary, for any purpose, commercial or non-commercial, and by any | |
| means. | |
| In jurisdictions that recognize copyright laws, the author or authors | |
| of this software dedicate any and all copyright interest in the | |
| software to the public domain. We make this dedication for the benefit |
A color stock chart, faceted by stock name and drawn as small multiples. Each series contains 10 years of data, represented by the columns. Each column has a maximum (top tile), a median (middle tile), and a minimum (bottom tile).
Values are indexed to the median value in the first year in each series, which facilitates comparisons between stocks and years along a percentage scale. See Bertin's discussion of indexing for multiple time-series variables.
A recent study assessed the effectiveness of color stock charts, as well as a number of other time-series visualizations, for several analysis tasks, such as determining and comparing ranges. It is reported in this 2014 CHI paper by Albers et al.
A p5.js version of Ben Fry's Salary vs. Performance, originally written in Processing and featured in ch. 5 of Visualizing Data: Exploring and Explaining Data with the Processing Environment (Ben Fry, O'Reilly Press, 2008). Original MLB datasets can be found in Fry's online supplemental material.
| This is free and unencumbered software released into the public domain. | |
| Anyone is free to copy, modify, publish, use, compile, sell, or | |
| distribute this software, either in source code form or as a compiled | |
| binary, for any purpose, commercial or non-commercial, and by any | |
| means. | |
| In jurisdictions that recognize copyright laws, the author or authors | |
| of this software dedicate any and all copyright interest in the | |
| software to the public domain. We make this dedication for the benefit |
A p5.js version of Ben Fry's Scatterplot maps, originally written in Processing and featured in ch. 6 of Visualizing Data: Exploring and Explaining Data with the Processing Environment (Ben Fry, O'Reilly Press, 2008).
Type a sequence of up to 4 digits [0-9] to highlight zip codes with matching prefixes on the map. Typing a 5 digit sequence will highlight the zip code if an exact match exists.
SoundConsensus is an interactive visualization by @mattbrehmer for comparing multiple ranked lists of record reviews from 19 prominent music publications. The data visualized here represents the 105 most-reviewed records released in 2014, according to the music publication aggregator site albumoftheyear.org.
Experience SoundConsensus, visit the project page, or visit the github repo.
Visual Encoding: Each column is associated with a music publication. Each cell containing a bar corresponds to a review score. The vertical position of a cell encodes its rank among other reviews from that publication. The bars in each cell encode the score itself.
The first column is unique in that it encodes the overall rank and score calculated by [albumoftheyear.org](htt
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| Timeline Storyteller | |
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