Exercise 7: Plotting data in Python (10 points)

This week we'll put together our data analysis and plotting skills using Pandas and Matplotlib to create visualizations.

If you are uncertain about the style of your code, take a look at the PEP 8 - Style guide for Python code.

After making your changes to the notebook, you will need to upload it to GitHub.

• Exercise 7 is due by 17:00 on Friday, 23 October 2020).
• Don't forget to check out the hints for this week's exercise if you're having trouble.

Before you start

Clone the Exercise 7 repository

• Make sure you cloned your own repository (repository name contains your GitHub username).
• After solving the problems, remember to commit your changes and push them to GitHub.
• Remember also to answer all written questions in the exercise, in addition to the programming tasks.

Getting started

Always remove these two lines when starting to work on an exercise:

# REPLACE THE ERROR BELOW WITH YOUR OWN CODE
raise NotImplementedError()

This error will tell us if you have not even started to solve the problem when checking the exercises :)

Problems

Exercise 7 has 2 problems worth 10 points in total.

• Problem 1: Random scatter plot (3 points)
• Problem 2: Plotting temperatures (7 points)