use python

Part B. Use any data set (find a csv data file on the web) that has the following properties - at least 5 features where some of the features have categorical values, - has some missing values and write code that will pre-process the data to deal with missing values, scale the data, and split the processed data into 75% training, 15 % validation and 10 % test sets. -after preprocessing, using matirlotlik, create xx plots of some of the features. Part B. Use any data set (find a csv data file on the web) that has the following properties - at least 5 features where some of the features have categorical values, - has some missing values and write code that will pre-process the data to deal with missing values, scale the data, and split the processed data into 75% training, 15 % validation and 10 % test sets. -after preprocessing, using matirlotlik, create xx plots of some of the features