https://github.com/susanli2016/data-analysis-with-r
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
https://github.com/susanli2016/data-analysis-with-r
Last synced: about 2 months ago
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Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
- Host: GitHub
- URL: https://github.com/susanli2016/data-analysis-with-r
- Owner: susanli2016
- Created: 2017-03-10T04:53:25.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-09-06T19:47:34.000Z (over 6 years ago)
- Last Synced: 2025-03-29T09:09:47.061Z (about 2 months ago)
- Language: R
- Homepage:
- Size: 6.02 MB
- Stars: 395
- Watchers: 46
- Forks: 374
- Open Issues: 3
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Data-Analysis-with-R
This repository contains my exploratory data analysis projects using R. All source code can be found here.
* [Financial Contributions to 2016 Presidential Campaigns in Massachusetts](https://rpubs.com/susan_li/255437)
* [Causes of Death](http://rpubs.com/susan_li/causes-of-death)
* [Revealing Toronto's Parking Ticket Data](http://rpubs.com/susan_li/toronto-parking-tickets)
* [Analyzing Census Data for Portland Maine](http://rpubs.com/susan_li/census-data-portland)
* [My First Shiny App - USA Census](https://susanli.shinyapps.io/default-shiny-app/)
* [Alcohol Consumption in Canada](http://rpubs.com/susan_li/alcohol-consumption-canada)
* [A Data Analysis of the 2016 Boston Marathon Finishers](http://rpubs.com/susan_li/boston-marathon)
* [Text Mining - The Latest Trump's Tweets](http://rpubs.com/susan_li/trump-tweets)
* [Mapping Water Use in Toronto](http://rpubs.com/susan_li/toronto-water)
* [Mapping Poverty in Boston](https://susanli2016.github.io/Poverty-Boston/)
* [Predict Movie Ratings](http://rpubs.com/susan_li/movie-time)
* [Exploring 2016 H-1B Visa Petitions](http://rpubs.com/susan_li/visa-petitions)
* [Atlantic Crime](https://susanli2016.github.io/Atlanta-Crime/)
* [Predict Income Level from Census Data](https://susanli2016.github.io/Census-Income/)
* [Text Mining Charles Dicken's Novels](https://susanli2016.github.io/Charles-Dickens/)
* [Data Mining with R: Predict Diabetes](https://susanli2016.github.io/Predict-Diabetes/)
* [Explore Global Terrorist Attack](https://susanli2016.github.io/Terrorist-Attack/)
* [Exploring the BRFSS Data and Predict Stroke](https://susanli2016.github.io/brfss-data/)
* [Clustering Wholesale Customers](https://susanli2016.github.io/Clustering-Customers/)
* [Predict House Sale Prices in Ames, Iowa](https://susanli2016.github.io/Predict-House-Price/)
* [Exploring and Clustering Happy Planet Index](https://susanli2016.github.io/Happy-Planet/)
* [Text Mining Finance News of Four Big American Companies](https://susanli2016.github.io/Mining-Articles/)
* [Text Mining 40 Years of Warren Buffett's Letters to Shareholders](https://susanli2016.github.io/Buffett-Letters/)
* [Statistical Inference with the General Social Survey Data](https://susanli2016.github.io/Inferential-Statistics/)
* [Modeling and Prediction for Movies](https://susanli2016.github.io/Modeling-Prediction-Movies/)
* [Topic Modeling of New York Times Articles](https://susanli2016.github.io/New-York-Times-Articles/)