It is a risk analyzer to understand the factors affecting a loan to default

Analyzing and cleaning the extracted tweets of CVSHealth to check the sentiments across the board and segregating positive, neutral and negative tweets. Also created a visualization and wordcloud from the results.

Twitter Sentiment Analysis on @CVSHealth's tweets and tweets about #CVSAetna to compare the amount of positive sentiments with the negative and neutral sentiments.

gain experience working with the ggplot2 package for data visualization

Problem Set 2

A Visualization Process of different scenarios within the MTCars dataset.