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When & Where
Mon, November 9, 2015 - 1:00 PM to 3:00 PM
Convening Room

"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
  • loading data
  • subsetting and filtering
  • calculating summary statistics
  • dealing with missing values
  • merging data sets
  • creating new variables
  • basic plotting
  • exporting data

New to Python? Consider attending our Introduction to Python!


Training Host: 
D-lab Facilitator: 
Trinetta Chong
Participant Technology Requirement: 
Basic familiarity with Python is assumed. A laptop with one of the following is required: (1) BCE Summer 2015; (2) Anaconda; or (3) Python 3 (2.7 okay), IPython version 2.0+ (with notebook support), pandas 0.15+, Matplotlib 1.3+.