Python: Pandas
Do you work with data of different types (numerical, categorical, text, dates)? Does your data have labelled variables or observations? Pandas DataFrames are the way to work with mixed and labeled data in Python. Pandas, the Python data analysis library, lets you perform common data analysis tasks such as subsetting and aggregating data, creating new variables, recoding data, computing summary statistics, and visualizing your data.
Things you’ll learn in this workshop:
Importing data into a pandas DataFrame
Subsetting and manipulating data sets
Grouping and aggregating data
Computing summary measures
Basic plotting
Merging DataFrames
Indices and hierarchical indices
Prerequisites: Familiarity with Python and Jupyter Notebooks
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