PersnicketyPython

Text data cleaning workshop for February 13, 2025 and April 1, 2025.

The main notebook is Persnickety Python - Text Data Cleaning

Notebook A provides an in-depth look at a particularly messy dataset, and shows how convoluted the process of data cleaning has the potential to be.

Notebooks B-D each cover specific topics related to data cleaning.

These materials are best used for an in-person workshop, but they are also intended to be used as a self-paced tutorial for the included topics.

If you have questions or suggestions, please don't hesitate to reach out! My email is david.merten-jones@claremont.edu

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Old_Notebooks		Old_Notebooks
Secret		Secret
images		images
.DS_Store		.DS_Store
.gitignore		.gitignore
Appendix - Odds and Ends.ipynb		Appendix - Odds and Ends.ipynb
Ask A Manager Salary Survey 2021 (Responses) - Form Responses 1.csv		Ask A Manager Salary Survey 2021 (Responses) - Form Responses 1.csv
Ask A Manager Salary Survey 2021 (Responses).xlsx		Ask A Manager Salary Survey 2021 (Responses).xlsx
CompustatExchangeRates.xlsx		CompustatExchangeRates.xlsx
Notebook A - ManagerSalary.ipynb		Notebook A - ManagerSalary.ipynb
Notebook B - Doctor Who.ipynb		Notebook B - Doctor Who.ipynb
Notebook C - Goodreads - R Version.Rmd		Notebook C - Goodreads - R Version.Rmd
Notebook C - Goodreads.ipynb		Notebook C - Goodreads.ipynb
Notebook D - BRFSS2014.ipynb		Notebook D - BRFSS2014.ipynb
Persnickety Python - Text Data Cleaning Workshop.ipynb		Persnickety Python - Text Data Cleaning Workshop.ipynb
README.md		README.md
books.csv		books.csv
brfss_2014_codebook.pdf		brfss_2014_codebook.pdf
ca_cities.csv		ca_cities.csv

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