The writer went through past Instagram posts to find how many people liked their posts and graph the data to visualise post trends.Benefits included spending more time looking at old likes without guilt, better problem solving and creativity, and producing a neat graph.To retrieve the necessary data, they used Postman, a tool that makes data deliveries to your virtual mailbox, to mimic a browser request.They then copied the Postman python request to fetch Instagram data, which added the number of likes and comments into separate lists.To create the final graph, the writer set x values as post numbers and y values as likes and comments.