Notes from March 2022 workshop

[jorisvandenbossche]

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Schedule

Week 1:

• Monday 7:
  • Setup, into jupyter
  • Pandas 1 - 2 - 3
• Thursday 10:
  • Pandas 9 (data cleaning)
  • Pandas 4 (time series)
  • Vizualization 1 (matplotlib) - first part

Week 2:

• Monday 14:
  • q&a case studies, Pandas 3b and 6; Vizualisation 2 (up to first set of exercises)
• Thursday 17 :
  • (Vizualisation 2?;) Pandas 7 (reshape, melt, pivot, tidy) and 5 (combining data, join exercise)
    • (joining could also be left for last day?)

Week 3:

• Thursday 24:
  • missing values, extra seaborn exercises with notes about groupby vs resample, color palettes, categorical data
  • visualization landscape / dask / data validation