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Data Analysis: Guide

This folder is for any Python scripts or notebooks you use to gain insights from your data through modeling, inferential statistics, and other analytical techniques. These files should:

  1. Read in prepared datasets from 0_datasets
  2. Learn from your datasets using methods that are appropriate to your research question, dataset and team's constraints.

DO NOT modify an existing dataset in 0_datasets! This is critical to open research: Someone should be able to clone this repository and run your scripts to replicate your research. If you modify an original dataset, others cannot replicate your work.

Chapters 5-8 from the Art of Data Science are a good starting reference.

README.md

Use the README in this folder to document your analysis strategy and provide a quick summary of each script/notebook. You can also explain your research results in-depth in this folder's README.