Now that you have a beautiful dataset (or perhaps several), it would be wise to begin examining it by creating graphs. The next stage of any data analytics project should focus on visualisation because it is the greatest approach to analyse and present your findings when working with massive amounts of data.
Building such visualisation is going to give you a head start to do something better. Learn it form Data Analytics Course.
The tough aspect of this is being able to explore your graphs at any time and respond to any inquiries regarding a particular insight. Because you completed all the grunt work and know the data like the back of your hand, the data preparation comes in helpful at that point.
Use APIs and plugins if this is the last stage of your project so you can deliver those insights to where your end users want to see them.
Another method for enhancing your dataset and creating more intriguing characteristics is to use graphs. For instance, by plotting your data points on a map, you can discover that some geographic regions are more informative than certain nations or cities.