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See organizers’ website for details
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with ‘relational’ or ‘labeled’ data both easy and intuitive. It enables doing practical, real-world data analysis in Python.
In this workshop, we’ll work with example data and go through the various steps you might need to prepare data for analysis.
We plan to cover:
pandas data structures
subsetting and filtering
calculating summary statistics
dealing with missing values
merging data sets
creating new variables
New to Python? Consider attending D-Lab’s Python for Everything series!