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Community Contributions for EDAV Fall 2022 Tues/Thurs
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Table of contents
1
Welcome!
2
Community Contribution
3
GitHub submission instructions
4
Sample project
Cheatsheets
6
R window functions cheatsheet
7
Rmd chunk option cheat sheet
8
Helpful ggplot2 Extensions Cheatsheet
9
Commonly-used graph cheatcheet
10
Git and version control
11
Useful plots for Bioinfomatics in R
12
Different ways to create world map in R
13
Color in R, Python, and JS/HTML/CSS
14
Color Palettes for Data Visualization
15
Data visualization using Seaborn
16
Machine Learning Cheatsheet for R and Python
17
Data Visualization with R ggplot2 vs. Matlab
18
Ggplot2 plots in python cheat sheet tutorial
19
Model evaluation, selection & visualization with easystats
20
Time Series: ITSMR Cheat Sheet
Tutorials
22
Preprocessing and Visualization of Time Series Data
23
How to use sqldf
24
googleVis in R
25
Tutorial for vector fields in r
26
A Summary of Interactive Chart
27
Data cleaning with r
28
Introduction to Shiny Web Apps
29
Python missingno library tutorial
30
Data Explorer Tutorial and Automation
31
3D Visualization in R
32
Visualizing Time Series Data
33
igraph in r
34
Geo-Mapping Coordinate Extraction Using API Calls
35
EDAV Garden
36
Using raster data in R
37
Make Geographical Maps with Different Packages
38
How to obtain data from API and process raw JSON data
39
Sample Statistic Tutorial
40
Data cleaning tutorial
41
mlr3 Package Tutorial
42
Guide to nonparametric tests
43
dplyr pacakage in R
44
How (not) to visualize American elections
45
Time series visualization with R
46
Twitter textual data: scraping and analyzing
47
Causal Inference Tutorial: A Quick Glance at Interventional Treatment and Simpson’s Paradox
48
Network analysis and social network analysis
49
Network Analysis in R
50
Interactive 3D Visualization in R
51
Introduction to common sampling techniques in r
52
Machine Learning in R
53
R machine learning workflow tutorial
54
What you see is what you understand: learning data science visually
55
Is the data visualization misleading or not - Survey
56
Animating functions and histograms in python using matplotlib
57
Waterfall chart using meta income statement
58
Plotnine vs. Seaborn in python
Interview Prep
60
Ten interview questions and answers
61
Data science internship search survival guide
62
Data visualization interview questions sample
63
How I got into Amazon as a full time data analyst
Case Studies
65
Benford Case Study
Blogs
67
Equity in AI
68
Breaking into tech: black girl edition
69
Homepage Artwork
70
Design homepage for class community
Appendices
71
Github initial setup
72
Tutorial for pull request mergers
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1
Welcome!
Artwork credit:
Xingye Feng
2
Community Contribution
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