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Exploratory Data Analysis Through Visualization

Event Type
Conference/Workshop
Topic
communicating your research
Sponsor
University Library - Scholarly Commons
Location
314 Main Library. Take the north stairwell (Armory and Wright Street entrance) to the 3rd floor of the Main Library and make a left at the top of the stairs.
Date
Sep 20, 2018   4:00 - 6:00 pm  
Speaker
Megan Ozeran, Ashley Hetrick
Cost
free
Registration
Registration
Contact
Scholarly Commons
E-Mail
sc@library.illinois.edu
Views
50
Originating Calendar
Savvy Researcher Workshops - University Library

Researchers often use data visualization as a way to explore data when they are not yet sure what the data show. In this workshop, participants will explore a data set as a group using Python, so basic Python knowledge is recommended. If you are not experienced with Python  or want to brush up on the basics, you can take free courses with your Illinois account at lynda.com, codecademy, or the Python Data Carpentry module online. Topics covered: data cleaning, data management, process for exploratory data visualization. (This workshop is part two in the Data Visualization workshop series. It is recommended to attend part one before this workshop.)

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