cc for EDAV 2020
1 Instructions
2 Sample project
I Data Processing and Wrangling
3 Data transformation in R
4 Data Preprocessing and Feature Engineering in R
5 Apply family
6 Writing SQL in R
II Data Visualization
7 Customized Plot Matrix: pairs and ggpairs
8 A brief introduction to seaborn
9 GeomMLBStadiums
10 Radar Chart
11 Likert Scale: Definition, Examples, and Visualization
12 A simple way to visualize geographic data
13 d3.js Intereactive Choropleth Map
14 Introduction to violin plots
15 Base R vs. ggplot2
III Results Reporting
16 Visualiztion tools in real work
17 Color in R
18 Illustrate commonly used graphs in R
- 18.1 Numerical Variables with Abalone and Mtcars
- 18.2 Categorical Graphs with Arthritis Data
19 Plotting interactive graphs with Shiny
IV Complete Analyses
20 China choropleth map
21 Benford’s Law Analysis of 2020 Election
22 Visualizing electoral margins in US presidential elections (2008-2016)
23 Survival analysis examples
V Cheatsheets and Video Tutorials
24 Mosaic plot cheatsheet
25 Time Series Cheatsheet
26 Python vs. R Cheatsheet
27 likert data cheat sheet
- 27.1 link is below
28 Categorical Data Visualization Cheat Sheet
29 Video Introduction to the Replication Crisis in Psychology
30 A Video Tutorial for Creating a Data Story in Tableau
- 30.1 Introduction
- 30.2 Data Source
VI Live Tutorials
31 Tableau intro tutorial explained with proset2
32 Solutioning a Data pipeline for visualization
33 Visualization Research in Biomedical Informatics
- 33.1 Community Contribution Zoom Session
34 American History Trivia Night
35 Consuming terrorism statistics
36 Introduction to network analysis
37 Some techniques for label setting
VII Translations
38 Chinese Translation of Candela Package
39 Greek translation of edav.info/histo
40 Korean translation of scatterplot
41 Rmarkdown tutorial Chinese translation: Rmarkdown 中文版指南
42 Beautiful visualization with ggplot2
43 Chinese Web scraping using R package: rvest & httr tutorial
44 Website Sharing Whole Class and 2nd-part of the Website – Mosaic Plot Translation to Chinese
45 How to plot grouped data for multivariate (in Chinese)
46 Translation of visualization related to geo data
VIII Other Topics
47 Webscraping Dynamic Content: Rselenium Tutorial
48 Brief Introduction and Tutorial of ggpubr Package
49 Visualization of geographical maps
50 Health datasets for the final project
51 Laying out multiple plots for Baseplot and ggplot
52 A basic Introduction to Markov Chain Monte Carlo Method in R
53 automate eda with dataexplorer
54 Speed up in r programming
55 Data Visualization in Python using different plotting packages
56 Final project teammate finder
57 Among Us Player Statistics
58 Ipywidget example walkthrough video
59 LinkedIn professional development session
IX Appendices
60 Github Initial Setup
61 Tutorial for Pull Request Mergers
62 Chapter Organization
- 62.1 Process for Organizing Chapters
- 62.2 Initial Book Parts
  - 62.2.1 Motivation
  - 62.2.2 Additional Categories
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Fall 2020 EDAV Community Contributions

Chapter 55 Data Visualization in Python using different plotting packages

Yuxin Zhou and Siyu Duan

https://nbviewer.jupyter.org/github/yuxinzhou0312/cc/blob/main/EDA_CC11.ipynb