Study data of comparative study of visualizations for multiple time series including anonymized participant data from Prolific, data set generation scripts, source code for the study framework, and analysis scripts. This repository also serves as supplemental material for the publication titled "A Comparative Study of Visualizations for Multiple Time Series", presented at IVAPP 2022.

The goal of the study was to get insight about how well three visualization techniques for multiple time series (line charts, stream graphs, and aligned area charts) can be understood to solve three basic tasks: Deciding which time series has the highest value at a time, deciding which time series has the highest value over all time steps (area under the graph), and deciding at which of two time points the sum of all time series is the largest. The study was performed online on the Prolific platform with 51 participants. Each participant was shown at least 108 stimuli. Measured data for each participant is mainly which stimuli they gave the correct answer to, and how long they took. For more information about the data, please consult the paper and the README.txt.

Python, 3.9.7

numpy, 1.21.1

R, 4.1.1