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EDAV Fall 2021 Mon/Wed Community Contributions

1 Welcome!
2 Community Contribution
3 GitHub submission instructions
4 Sample project
Guide to EDAV
5 Vipul EDAV Community Contribution Kickstart R
6 Quick guide to eda
Tutorials
7 Tutorial for six basic graphs by using ggplot
8 Tibble vs. DataFrame
9 Introduction to Data Manipulation
10 Introduction to Time Series
11 Interactive graphs tutorial
12 Introduction to Git Bash
13 Web Scrapping using BeautifulSoup and its Equivalent in rvest
14 Analyze data stored in AWS S3 using R
R Package Tutorial
15 Tidyverse_cheatsheet
16 Use of ggprism and ggsci packages
17 Parallel coordinates plot cheatsheet
18 Cheatsheet Tidyverse
19 Common R markdown syntax cheatsheet
20 Rpackage waffle cheatsheet
21 Introduction to flexdashboard and shiny
22 Functional Programming with Purrr
Data Visualizations
23 Introduction to the lattice package
24 Graph animation with gganimate and After Effects
25 Animating the plots in R
26 Interactive Plots
27 Create regression assumption plots in Word
28 From Neo4j to RStudio
29 Stacked Bar Plot For Relative Proportions In Python
30 Interactive plot introduction
31 Introduction to Longitudinal Data and MLGM Package
32 Parallel coordinate plots cheatsheet
33 Parallel Coordinate Plots in ggplot2
34 Radial bar chart and other interesting graphs
35 3D visualization: shinyaframe introduction and tutorial
36 Using ggplot in python
37 Icons and symbols in R
Topics in Data Science
38 R Data Science Workflow CheatSheet
39 R cheatsheet on data transforamtion and exploration
40 30 questions & answers for r technical interview
41 GraphQL Cheat Sheet
42 R vs Python Basic Data Wrangling
43 R vs. Python Visualization Cheatsheet
44 Guideline on Using Package Rcurl and XML for Web Scraping
45 Multithreading Crawler Frame
46 TwitteR R Package Scraping via API Tutorial
47 Natural Langauge Processing Common EDA Practices in Python
Machine Learning and More
48 Low-key ML packages in R
49 A linear regression Bestiary
50 Regression and Classification in R
51 caret - a machine learning package turotial
52 Supervised Learning Tutorial
53 Beginner’s Walk-through of Deep Learning in R
Demonstrations
54 Linear Association R Studio Plugin
55 Customized Sorting in R
56 Crime Analysis around Columbia
57 Efficient dimension reduction with UMAP
58 Exploratory data analysis and preprocessing with R for data challenges
59 Streamlit for Financial Analysis
Workshops
60 Data Science Product Cycles in Enterprises
61 MapReduce Concept & Comparision With R
Appendices
62 Github initial setup
63 Tutorial for pull request mergers

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1 Welcome!

2 Community Contribution