L7: Matplotlib for Data Visualization

🤖 Bringing Data to Life with Visualization

In Week 4, we’re moving into the exciting world of data visualization and machine learning. You’ll learn how to create beautiful, impactful charts and graphs and we’ll introduce you to the basics of machine learning (classifying and issuing predictions from existing data).

Session 7: Data Visualization with Matplotlib

Date and Time: 16.12.2025, 16:30-18:45
Duration: 2 hours, with 15 minutes break

Slides and Jupyter Notebook to be posted soon.

Zoom meeting info:

Alexander Joao Peterson Santos is inviting you to a scheduled Zoom meeting.

Topic: L7: Matplotlib for Data Visualization
Time: Dec 16, 2025 04:30 PM Amsterdam, Berlin, Rome, Stockholm, Vienna
Join Zoom Meeting
https://tum-conf.zoom-x.de/j/65120832848?pwd=HoGWYEGhmQSijTpooVFuPoV27fCXHI.1

Meeting ID: 651 2083 2848
Passcode: 837723

Content:

• The importance of data visualization
• Creating line plots
  • Customizing line plots
  • Plotting multiple lines
  • Cropping plot or changing x-axis step
• Creating line plots
  • Line of best fit
  • Three variables using colormap
  • Three variables using 3D scatter plot
• Creating bar graphs
  • Differences in population using grouped bars
  • Differences in population using stacked bars
  • Importance of normalizing data for proportionality
• Creating histograms
  • Effect of bin size
• Preparing professional graphics for your projects
  • Saving plots as images
  • Showing multiple plots in one figure
• Brief exploration of Matplotlib documentation and examples