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Community Contributions STAT GR 5293

Table of contents

1 Welcome!
2 Community Contribution
3 GitHub submission instructions
4 Sample project
Cheatsheets
5 tmap package
6 Graphics cheatsheet in ggplot2
7 ggplot2 cheatsheet
8 Data preprocessing cheat sheet in R
9 Data Wrangling and Visualization in R
10 GGplot2 cheatsheet
11 Cheat Sheet for Tidyverse
12 Memos, checklist and usful links: experience of statistical graphic
13 Cheatsheet for multiple graphics
14 Useful setting of ggplot2
15 Cheatsheet for ‘circlize’ package
16 Texts in R Graphs Cheat Sheet
17 dygraphs package
18 Data visualization course cheatsheet
19 Web scraping tables tutorial
20 Basic data visualization cheatsheet
Tutorials
21 Visualizing Geographical Time Series Data With Messy Country Name
22 Plotly package
23 Web Scraping Using BeautifulSoup in Python
24 A Brief Guide Through ggplot via Examples
25 Drawing Five Common Plots by ggplot2
26 Compare different ways of plotting Biplot, Mosaicplot, and Heatmap
27 Twitter API guide in R
28 Geographical Maps Packages Comparison: ggmap vs. ggplot vs tmap
29 R Shiny Map Tutorial
30 Neural Network Ploting with BP Algorithm and without Algorithm
31 wordcloud
32 Linear Modeling Using R via a Soccer Example
33 Time Series Analysis in R
34 Animation graphs in plot_ly and gganimate
35 Forest Plots
36 Differences between some packages of visualizaiton
37 Lecture Helper
38 Basic introduction to tidyverse
39 class_material_code_throughout_this_semester
40 Calendar heat map tutorial
41 Basic time series analysis and prediction
42 R Shiny and Interactive Map Tutorial
43 Extract data from scatterplot
44 Tutorial for the r graph gallery
45 Polar Line Plots
46 Data visualization with base r and ggplot
Appendices
47 Github initial setup
48 Tutorial for pull request mergers

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"Community Contributions STAT GR 5293" was written by . It was last built on 2022-04-19.

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