The company would like to expand the range of confectionery (private label). For this purpose a new candy be created. However, there is still disagreement within the project team concerned about the Characteristics of the new candy. For example, while some prefer a cookie-based candy, others prefer one fruit jelly variation. Therefore, the division board decided to set up a market research company to determine the popularity of the confectionery available on the market. The results of the market research are now available and you have been commissioned to analyze the data to perform. The aim is to analyze the impact of confectionery characteristics on their popularity and to make a recommendation for the new sweet based on this analysis.
To analyze the impact of confectionary characteristics on their popularity and to make a recommendation for the new sweet based on the analysis.
This folder contains the data behind the story The Ultimate Halloween Candy Power Ranking.
candy-data.csv
includes attributes for each candy along with its ranking. For binary variables, 1 means yes, 0 means no.
The data contains the following fields:
Header | Description |
---|---|
chocolate | Does it contain chocolate? |
fruity | Is it fruit flavored? |
caramel | Is there caramel in the candy? |
peanutalmondy | Does it contain peanuts, peanut butter or almonds? |
nougat | Does it contain nougat? |
crispedricewafer | Does it contain crisped rice, wafers, or a cookie component? |
hard | Is it a hard candy? |
bar | Is it a candy bar? |
pluribus | Is it one of many candies in a bag or box? |
sugarpercent | The percentile of sugar it falls under within the data set. |
pricepercent | The unit price percentile compared to the rest of the set. |
winpercent | The overall win percentage according to 269,000 matchups. |
Target
To combine entrepreneurial understanding with data analysis in order to create an entrepreneurial
support decision.