Personal Project: Rankings for universities that offer various data science programs.
Tidy Tuesday: Work with Video Games dataset to summarize and arrange data to make meaningful charts.
Tidy Tuesday: Work with R4DS Community Stats dataset to summarize and arrange data to make meaningful charts.
Tidy Tuesday: Work with Women's World Cup datasets to summarize and arrange data to make meaningful charts.
SWD Challenge-July 2019: Identify data that makes sense to plot in a radial view and visualize it.
Tidy Tuesday: Work with Media Franchises dataset to summarize and arrange data to make meaningful charts.
Tidy Tuesday: Work with UFO Sightings dataset to summarize and arrange data to make meaningful charts.
Tidy Tuesday: Work with Christmas Bird Counts dataset to summarize and arrange data to make meaningful charts.
Tidy Tuesday: Work with Meteorites dataset to summarize and arrange data to make meaningful charts.
SWD Challenge-June 2019: Test your design design skills and rebrand a particular graph.
Tidy Tuesday: Work with Ramen Ratings dataset to summarize and arrange data to make meaningful charts.
Class Group Project: Use regression and decision trees in R to predict movie awards
SWD Challenge-May 2019: Go out and collect a dataset of your own, analyze it and create a graph visualizing your findings.
Class Group Project: Use Power BI to analyze the success of promotions
Kaggle Competition: Predict survival on the Titanic using Machine Learning
Class Group Project: Use R to find out the factors affecting absenteeism at work