Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
future dates. Ex3. First Example is our movie rating data : One useful way to have a quick and easy way to view corrupt data which is falling out of the expected range is to visualize that column : import matplotlib.pyplot as plt plt.hist(movies['avg_rating']) plt.title('Average rating of movies