Halloween isn't just a festival about spooky pumpkins, eerie ghosts, and eye-catching costumes. Halloween is one of the largest datasets out there. In the trick-or-treat baskets little kids carry down the streets is a bank of knowledge and data that can unleash the trends found in communities around America. When I want trick-or-treating this halloween, I was intrigued to find what kind of candy I got, which one I got the most of, and most importantly, how did the price affect consumer choices in my community.

When I got back from trick-or treating this October 31st 2017, I made sure to empty out what I collected in my middle-class community and sort it out by brand, type/category, price, flavor, etc. After deciding which factors were most relevant, I created three graphs - one bar graph showing the amount of candies collected for each brand, another bar graph looking at the quantity for each type/category of confectionery, and finally, a line graph that analyzed the relationship between unit price per piece and amount of candies collected. All of this is for the sole purpose of displaying how different factors such as brand and price affect consumer choices, appeal to the general population, and what kind of candies to be expecting next year! This is an analysis of middle class economics, brand appeal, and choice of consumers.

From publishing this dataset, I hope to inspire many more young data scientists such as myself to take on new projects that intrigue them or analyze their own halloween candy from their community/neighborhood! I wanted to see how simple festivals like Halloween are affected by variables like consumer choice, price range, and brand appeal. Keep in mind, this is an analysis of my middle-class community. There are many more datasets and demographics waiting to be analyzed!