07. Exercise 1: Solution

Key Takeaways

• Plotting your data is a great way to check your assumptions about the data you have.
• Matplotilb makes it easy to plot time series signals and events in time together.

Further Resources

Physionet

Physionet is a great resource of freely available biomedical signals. You can try many of the techniques you learn in this class on datasets in Physionet.
This European ST-T Database from Physionet was used in the previous exercise.

Plotting

Listed below are the packages we will be using throughout to visualize our datasets.

• Matplotlib - the plotting library we use most in this course.
• Seaborn - a wrapper around matplotlib that makes it easier to do higher level statistical visualization. We will use this a few times in the course.
• Altair - Another powerful visualization library in Python
• Plotly - You can use plotly to create and save visualization in HTML / javascript. This is especially useful when you want to make offline, shareable plots that you can interact with in the browser.