fig, ax = plt.subplots(figsize=(8,6)) ax.scatter( df['TotalArea'],df['SalePrice']) ax.set_xlabel('TotalArea') ax.set_ylabel('SalePrice') plt.show() plt.figure(figsize ...
Notifications You must be signed in to change notification settings plt.title("Category_feature") for k in range(len(Category_features)): num = [] for t in df ...
Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. Charts reduce the complexity of the data and make it easier to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback