└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Exploratory Data Analysis/Visualization Community Contribution 2 | At the end of the semester, we aggregate resources of data and visualization tools that classmates post on the Piazza to share with more people. 3 | 4 | Table of Content 5 | * [R](#r) 6 | * [Other Visualization Tools](#other-visualization-tools) 7 | * [Data Community](#data-community) 8 | * [Video Tutorial](#video-tutorial) 9 | * [Raw Data Resource](#raw-data-resource) 10 | 11 | ## R 12 | ### R Base Cheatsheet 13 | * [Base R](https://www.rstudio.com/wp-content/uploads/2016/10/r-cheat-sheet-3.pdf) 14 | * [R Markdown](https://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf) 15 | * [Markdown](https://github.com/adam-p/markdown-here/wiki/Markdown-Here-Cheatsheet) 16 | * Data Wrangling: 17 | * [English](https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf) 18 | * [Simplified Chinese](https://www.rstudio.com/wp-content/uploads/2015/03/data-wrangling-chinese.pdf) 19 | * [Base Graphics](http://publish.illinois.edu/johnrgallagher/files/2015/10/BaseGraphicsCheatsheet.pdf) 20 | * [Color Palette Cheatsheet](https://www.nceas.ucsb.edu/~frazier/RSpatialGuides/colorPaletteCheatsheet.pdf) 21 | * [More](https://www.rstudio.com/resources/cheatsheets) 22 | 23 | ### ggplot2 24 | * [Cheatsheet](http://zevross.com/blog/2014/08/04/beautiful-plotting-in-r-a-ggplot2-cheatsheet-3/) 25 | * [Modify Theme](http://ggplot2.tidyverse.org/reference/theme.html) 26 | * [Colors](http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/) 27 | * [Plotly](https://plot.ly/ggplot2/) 28 | 29 | ### Parallel Coordinate Plot: 30 | * [Parcoords](http://www.buildingwidgets.com/blog/2015/1/30/week-04-interactive-parallel-coordinates-1) 31 | * [Ggparcord](https://www.rdocumentation.org/packages/GGally/versions/1.2.0/topics/ggparcoord) 32 | * [Plotly](https://plot.ly/r/parallel-coordinates-plot/) 33 | * [Comparison](https://www.r-bloggers.com/parallel-coordinate-plots-for-discrete-and-categorical-data-in-r-a-comparison/) 34 | 35 | ### Network: 36 | * [Gephi Manual](https://d1b10bmlvqabco.cloudfront.net/attach/iwjz7hyhqd4qd/it0gy1bzwaZ/j12su0yri6v8/Gephi_Manual.pdf) 37 | * [Igraph](http://igraph.org/redirect.html) 38 | - [Example 1](https://www.r-bloggers.com/network-visualization-in-r-with-the-igraph-package/) 39 | - [Example 2](https://assemblingnetwork.wordpress.com/2013/05/29/network-basics-with-r-and-igraph-part-i-of-iii/) 40 | 41 | ### [Shiny](https://shiny.rstudio.com) 42 | * [Cheatsheet](http://shiny.rstudio.com/images/shiny-cheatsheet.pdf) 43 | * [Gallery of R Web APPs](https://www.showmeshiny.com/) 44 | * [Start Quick](https://d1b10bmlvqabco.cloudfront.net/attach/iwjz7hyhqd4qd/isy0quyl45w42n/j1ea1x5vufhs/01Howtostart.pdf) 45 | * [Tutorial with examples](http://zevross.com/blog/2016/04/19/r-powered-web-applications-with-shiny-a-tutorial-and-cheat-sheet-with-40-example-apps/) 46 | * [Video Tutorial](https://www.youtube.com/watch?v=789ZcPHlg7w&index=4&list=PL6wLL_RojB5xNOhe2OTSd-DPkMLVY9DfB) 47 | * [Useful Tips](http://deanattali.com/blog/advanced-shiny-tips/) 48 | 49 | ## Other Visualization Tools 50 | * [Python](https://d1b10bmlvqabco.cloudfront.net/attach/iwjz7hyhqd4qd/isrin57rtrp2sq/j1dyzbdq5qdx/DataVisualizationinPython.html) 51 | * [Plotly](https://plot.ly/) 52 | * [Cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) 53 | * [Book](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) 54 | * [Tableau](https://www.tableau.com/) 55 | * [Choropleth Maps](https://d1b10bmlvqabco.cloudfront.net/attach/iwjz7hyhqd4qd/isxb2lklpy73cc/j1hyb500hny7/ChoroplethMaps.html) 56 | * [D3](https://d3js.org/) 57 | * [Skeleton](https://github.com/alexwainger/d3-skeleton) 58 | * [Gallery](https://github.com/d3/d3/wiki/Gallery) 59 | * [Visual.ly](http://visual.ly/) 60 | * [Superset](https://github.com/airbnb/superset) 61 | * [Sample project](http://airbnb.io/projects/superset/) 62 | 63 | ## Data Community: 64 | * [Linkedin group](https://www.linkedin.com/groups/35222/profile) 65 | * [swirl](http://swirlstats.com) 66 | * [Reddit](https://www.reddit.com/r/dataisbeautiful/) 67 | * [Kaggle](https://www.kaggle.com/datasets) 68 | * [Makeover Monday](http://www.makeovermonday.co.uk/blog/) 69 | * [the edav repository](http://moorissa.com/edav/) 70 | * [Analytics Vidhya](https://www.analyticsvidhya.com) 71 | * [PyMOL](http://www.pymol.org) 72 | * [Exploratory](https://exploratory.io) 73 | * [Visual Vocabulary](http://ft-interactive.github.io/visual-vocabulary/) 74 | * [Data Visualize Catalogue](http://www.datavizcatalogue.com/index.html) 75 | * [ggplot2 Graph Gallery](http://www.r-graph-gallery.com/portfolio/ggplot2-package/) 76 | * [ggplot2 Time Series](https://plot.ly/ggplot2/time-series/) 77 | 78 | 79 | 80 | 81 | ## Video Tutorial: 82 | - [R Tutorials for Non-Programmer Datascientists - Full Course](https://www.youtube.com/playlist?list=PLFAYD0dt5xCzTQHDhMPZwBoaAXWeVhZzg) 83 | - [ggplot2](https://www.youtube.com/watch?v=HeqHMM4ziXA) 84 | - [Tableau](https://www.youtube.com/watch?v=x56ipAMMmLA) 85 | 86 | ## Raw Data Resources 87 | Two websites that provide links to various of data 88 | - [github](https://github.com/caesar0301/awesome-public-datasets) 89 | - [sqlbelle's musings](https://sqlbelle.com/2015/01/16/data-sets-for-bianalyticsvisualization-projects/) 90 | 91 | --------------------------------------------------------------------------------