PANDAS COMMANDS PLEASE

just need the code

When possible, use the Pandas built-in functions and methods to perform tasks. I have chosen problems that can be easily performed with the Pandas and Seaborn packages, although you will also need to import Matplotlib and NumPy as backend dependencies

3. Print out the type, Non-Null count, and name of each column.

4. Write at least 3 of the potential dataset biases or issues you could see persisting, in a multi-line comment at the top of your program.

5. Print the count, mean, standard deviation, minimum, 25%, 50%, 75%, and maximum values of all the radial data.

6. Print out the count, unique count, mode, and frequency of the mode of the ordinal and nominal data (all have the Pandas type as object)

7. Plot a histogram of each numerical value in a single figure using subplots, or the hist() function in Pandas (much easier option of the two, needs just one line).

8. Print the mean median house value grouped by the median age in sorted order.

9. Plot every latitude and longitude in a scatter plot.

10. Using Seaborn, plot a histogram of median house value with columns for each value of ocean proximity.

11. Plot every latitude and longitude in a scatter plot, with the point weight being their value for median house value.