5/11/2023 0 Comments I, Eda by Howard R. Price![]() ![]() 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. When the correlation between x and y is 1, that means x has a positive correlation with y.It means that x and y have no correlation and are independent. When the correlation between x and y is 0.The more the value is close to -1, the more will be the negative correlation. It simply means when the value of x increases, the value of y would decrease. When the correlation between x and y is -1, that means x has a negative correlation with y.Heatmap – A heatmap is a 2d representation of data that tells how much a variable is correlated to other variables. ![]() You can get more information about the data set variables by plotting a heat map. You can plot the original data frame to see how a dataset without null values would look like. The above image shows that the volume column contains around 25 null values. ![]()
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