I analyzed data from Kaggle on top grossing films using Python, and specifically used the numpy, pandas, seaborn, and matplotlib packages to find correlations in the data. Through data analysis techniques, I was able to identify factors that were most strongly associated with the success of top grossing films.
I used R and various packages including tidyverse, lubridate, and ggplot2 to analyze 12 months of bike sharing data from Divvy Bikes. The goal of the analysis was to help the company formulate a decision on promotions to convert casual riders to members. Through data analysis techniques, I was able to provide insights and recommendations that could help the company achieve its goal.