Playing around with Amazon co-produced produce with . Attempting to see which products are the most popular, and what its co-purchased products are. This is a graphing excercise to see how to visualize the most "inflencial product".
For this challenge, I decided to use python and neo4j to visualize the relationship between produce. The data set is from https://snap.stanford.edu/data/
The dataset is too large to graph with neo4j today, so I will be presenting a subset of the data.
This is what the data set looks like with 1000 products.
Here it is with 25 products.
To see the most influencial products, I parsed the first 100 data entries from the data set and graphed this as follows:
Top 3
Top 5
