#  \[Workshop\] Tidying Data with Python and OpenRefine 

 



####  calendar\_today Date and Time 

 **April 16, 2020** 

 01:00PM - 03:30PM EDT 

####  pin\_drop Location 

 **Lamont Library B-30**  



 

 



 

 In his paper "[Tidy Data](http://vita.had.co.nz/papers/tidy-data.pdf)," Hadley Wickham riffs on Tolstoy: "Like families, tidy datasets are all alike but every messy dataset is messy in its own way." When we spend 75% of our "analysis" time cleaning and preprocessing data, it makes sense to focus on strategies to standardize our data.

 In this workshop, we will focus on **correcting common errors** in collected data and **(re)structuring datasets to facilitate analysis. We will be using OpenRefine and Python for these tasks; while you don't need to be a Pythonista, you should have some familiarity with Python or other similar scripting languages, as we won't be spending much time on syntax.

 **Free registration on the [Harvard Training Portal](https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/common/registercatalog/class-0000045700)**.



 

 



 

 See also:- [ Visualization ](/technology-categories/visualization)
 
 

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