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Cleaning Data with Pandas

In the prep work for this class, the students learned:

  1. Revisited what cleaning data is and the four types of dirty data.
  2. What common techniques are used to clean data with pandas.

Announcements

  1. Always check with your program manager to see if there are any upcoming deadlines you should highlight!

Large Group Time (Instructor)

Topics That Require Careful Attention

  1. Q & A from the prep work and/or exercises.
    1. Recommend walking through the exercises since the studio covers the same dataset.
  2. Review the data cleaning techniques and apply any additional strategies not used in the book.
  3. If you can think of a time when you were cleaning data with pandas and applied any useful techniques not used in the book please share!

Studio (IA Notes)

  1. Students should partner up for this studio. At this point in the class, if someone is still hesitant to partner up, you may need to shake things up and start picking partners for people. If someone is still the odd one out, don't hesitate to be their partner and talk about what you may have found!