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“Working with Data” Workshop Series

This series will take learners through the process of finding, processing, analyzing, and visualizing a single dataset from beginning to end. However, each individual workshop also stands on its own without prerequisites. Attend one, or attend them all!

All sessions take place in the Digital CoLab, Olin Library 701.

Click on the titles below to register.

Fetching Data from a Public API

Thursday 9/13 from 4:30 pm to 5:30 pm

An increasing number of government agencies and other organizations make public data available via an application programming interface (API), rather than via direct download. The advantage of an API from the researcher’s perspective is that it allows you to write queries to find a meaningful subset of data, while also ensuring the data is the most up-to-date possible.

In this workshop, you’ll learn how to fetch data from public APIs to use in your work. We’ll also compare fetching from APIs to other methods of retrieving web data, such as downloading static .csv files or scraping a web page. No prior programming experience required. 

Cleaning Messy Data with OpenRefine

Thursday 9/20 from 4:30 pm to 5:30 pm

Is your spreadsheet full of inconsistent spellings, strange abbreviations, and/or columns you wish someone had organized differently at the start? Or are you just facing a large dataset and aren’t sure how to get your head around it? Learn how to use OpenRefine, a free and open source tool for taming data, and feel like a caster of data magic spells.

Visualizing and Exploring Data with Tableau

Thursday 10/11 from 4:30 pm to 5:30 pm

Visualization can be used as a method for exploring and analyzing data, as well as for presenting final results of those analyses. In this workshop, learn techniques for making sense of large datasets by exploring them visually. We’ll use Tableau, a tool that allows you to generate and customize visualizations using a drag-and-drop interface.

Creating an Interactive Web Map with Carto

Thursday 10/18 from 4:30 pm to 5:30 pm

Maps are just a particular type of data visualization. Like graphs and charts, maps are good ways to learn about patterns and tendencies in your data, and later, to present the results of your research. Interactive web maps can also allow your users to drill deeper, and explore your data for themselves. In this workshop, you will learn how to create interactive web maps with a tool called Carto, which you can use for free with your Cornell netID.



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