1. Data Analysis > 
  2. Data Manipulation > 
  3. Next Steps

Next Steps

Now that we learned about manipulating data, you are ready to dive into data visualization. If you want to review data manipulation with pandas before continuing onward, here are some of our favorite resources:

  1. Python | Pandas dataframe.aggregate()
  2. Python | Pandas dataframe.groupby()
  3. How to create new columns derived from existing columns?
  4. Recode Data
  5. How to manipulate textual data?
  6. How to reshape the layout of tables?
  7. pandas.pivot_table
  8. pandas.melt
  9. pandas.pivot
Oct 1, 2021
LaunchCode
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