Data Analysis with R

Description

This repository contains my exploratory data analysis projects using R and several other packages included in Tidyverse. All source code for these projects can be found down below.

Projects List

• Analyzing Forest Fires Data - This project performs exploratory data analysis to show which months and days of the week had greater number of forest fires.
• Association Rules - In this project, I have used the titanic dataset to perform association rule mining to determine which class of passengers survived the tragedy using the arules and arulesViz packages.
• Basic COVID-19 Analysis - This project performs a simple analysis using Hmisc package to determine which age group and gender has higher chances of death from the virus.
• EDA of Diamonds Dataset - This project uses the diamonds dataset of ggplot2 package to perform exploratory data analysis using few statistical methods such as summary statistics, hypothesis tests and statistical distributions
• Investigating COVID Virus Trends - This project performs kaggle data analysis to understand which country has the highest number of cases against total number of testing performed using tidyverse package.
• NYC School Perceptions - Responses to surveys designed to gauge parent, student, and teacher perceptions of the quality of New York City schools. In this project, a few questions with respect to the same are answered.
• Text Mining Emily Bronte Novels - This Project involved Text Mining and Sentiment Analysis to predict the tone of the book using gutenbergr package.
• Titanic Dataset Analysis - This project contains Exploratory Data Analysis results of the titanic dataset that is publically available on Kaggle. I have used the following packages readr, dplyr and ggplot2 of tidyverse

License

This repository is licensed under MIT License.