Halloween Challenge

Data compiled from an experiment that set out to find the most popular Halloween candy by asking online voters to select their favorite from randomly generated matchups (for example, Twix or Snickers?).

Goal: to find the 3 treats I'll give out on Halloween to guarantee that trick-or-treaters of all tastes find something they'll love and present the data to back up your decision.

For Data Cleaning and Data Exploration I used Python. The Dataset was well-organized, I did not found missing values.

To create a Dashboard I used Power BI. I examined the Candies per Winpercent. I created Pie Charts to see the Distribution of different tastes (fruity, caramel, wafer, chocolate, nougat, almond/nut. I created a scatter plot to see the relation between the sugar percent and the price percent. Finally I chose the 3 winners according to the win percent.