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EDAV Fall 2021 Mon/Wed Community Contributions

Table of contents

  • 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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29 Stacked Bar Plot For Relative Proportions In Python

Vishweshwar Tyagi (vt2353)

https://nbviewer.org/github/vishweshwartyagi/EDAV-CC-stacked-bar-plot-for-relative-proportions-in-python/blob/main/stacked%20bar%20plot.ipynb

28 From Neo4j to RStudio
30 Interactive plot introduction

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"EDAV Fall 2021 Mon/Wed Community Contributions" was written by the students of the class. It was last built on 2022-01-28.

This book was built by the bookdown R package.