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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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44 Tutorial for the r graph gallery

Yayun Luo and Yu Cheng

44.1 Motivation

In the process of drawing graphs, we often don’t know what code to enter in R or python to come up with the graph we need. Then, we learned about the website R graph gallery, which we found very helpful for drawing graphs in R or python. In this site we will not only learn about various data graphs, but also know the exact code to draw these graphs. We can modify and create our own code according to our needs to get the best image for the real situation. This website greatly enhances the accuracy and presentation of our charts and saves us a lot of time in the process of data analysis. Therefore, we have made this tutorial to help you better use R and python to draw charts.

Click the link below for tutorial:

https://github.com/YuCheng222/Tutorial-for-the-r-graph-gallery/blob/main/Tutorial%20for%20the%20R%20Graph%20Gallery.pdf

43 Extract data from scatterplot
45 Polar Line Plots

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  • 44 Tutorial for the r graph gallery
  • 44.1 Motivation
  • View source
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"Community Contributions STAT GR 5293" was written by . It was last built on 2022-04-19.

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