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Visualizing Data using JMP

In this hands-on workshop, we will explore how to make effective graphs and charts using JMP, a menu-based, user-friendly statistical software. We will cover how to use graphing techniques to perform exploratory data analysis and how to carry out some of the best practices for data visualization as covered in our Visualizing Data Workshop. Several data sets of varying complexity will be supplied to illustrate specific data visualization techniques.

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

In class Data:

svy_sub.csv
svy_complete.csv

Example "small" Data:

Bank Salary: Demographic and Salary data for Bank Empolyees
Bank Employees
metadata notes

Example "BIG" Data: All big example data are available from RStudio: http://blog.rstudio.org/2014/07/23/new-data-packages/
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
metadata notes

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

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

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