This assignment is based on the 2014 VAST Challenge.
NOTE: This scenario and all the people, places, groups, and technologies contained therein are fictious. Any resemblance to real people, places, groups, or technologies is purely coincidental.
In the roughly twenty years that Tethys-based GAStech has been operating a natural gas production site in the island country of Kronos, it has produced remarkable profits and developed strong relationships with the government of Kronos. However, GAStech has not been as successful in demonstrating environmental stewardship.
In January, 2014, the leaders of GAStech are celebrating their new-found fortune as a result of the initial public offering of their very successful company. In the midst of this celebration, several employees of GAStech go missing. An organization known as the Protectors of Kronos (POK) is suspected in the disappearance, but things may not be what they seem.
As an expert in visual analytics, you are called in to help law enforcement from Kronos and Tethys assess the situation and figure out where the missing employees are and how to get them home again. Time is of the essence.
At your disposal, your have a spreadsheet of GPS tracking data of
GAStech company cars, gps_car.csv
, map data for the city of
Abila, Abila_map_data.csv
, and data on employee’s credit
card transactions, cc_data.csv.
You are being counted on to bring law enforcement up to date on the current organization of the POK and how that organization has changed over time, as well as to characterize the events surrounding the disappearance.
Please replace “Your Name” in the YAML (top of this script) with your name.
In a new code chunk (use (Ctrl+Alt+I
) to start a new
code chunk), load the Abila_map_data.csv
and make a map of
the city.
Load the GPS tracking data for the company cars and add it to the city map:
Your goal is to describe the favorite stores and restaurants of a typical GASTech employee. Select one employee (coordinate with your classmates to select different people). Use the credit card data and the GPS data to plot their movement throughout the day. There are many ways to do this, from manually copying and pasting the relevant coordinates to figuring out a way to merge the gps and credit card data.
Bonus points if you figure out a way to add their home and/or work addresses to the map.
Bonus: Do they meet anyone for any of the meals?
For the submission: submit your solution in an R Markdown file and (just for insurance) submit the corresponding html file with it.