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Visualizing Data

Data Visualization is one of the most important ways to communicate your research findings. This workshop will cover guidelines and best practices for creating graphs and figures that accurately and effectively convey the results of your research and the message you want to tell. We will introduce a number of resources available to get ideas for interesting ways to display your data and improve your figures. We will also discuss how to target different audiences, such as your colleagues, policy-makers, and the general public.

Fee: None to members of the Cornell community, but registration is required. Since space is limited, early registration is encouraged.

Hands-on portion handout: Software Details

Example "small" Data:

Bank Salary: Demographic and Salary data for Bank Empolyees
Bank Employees csv file
Bank Employees metadata

Example "BIG" Data: All big example data are available from RStudio:
Subsets are provided below for easier handling:

Vehicle Data: Fuel economy data from the EPA, 1985-2015
subsetted by common models with at least 10 years worth of data (see metadata notes)
Common Vehicles csv file
Common Vehicles metadata

Babyname Data: US baby names 1880-2013 provided by the SSA
subsetted by names with 150+ occurrences (see metadata notes)
Common Babynames csv file
Common Babynames metadata

Flight Data: Data about flights departing NYC in 2013
subsetted to flights from JFK only
JFK flights csv file
JFK flights metadata

For times and locations of upcoming workshops, please see the Workshop Schedule.