![]() ![]() The main variable we are going to focus on in this dataset is the ‘Volume’. Understanding these numbers and finding the pattern is an art, and we the data analysts are the artists. Based on the correlation values only we can derive several insights for this dataset. Sns.heatmap(rr(),cmap='Blues',annot=True)ĭoes this heatmap look more informative than the previous one? I hope you think that too. Now we know a little about heatmaps, we can proceed towards creating the heatmap on our UBER stocks dataset using the seaborn library. ![]() ![]() Or simply, we can say whenever x increases, y increases too.
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