This cartoon caption can be used to illustrate the idea that over-cleaning or over-smoothing messy data may risk the loss of important information and yield a misleading characterization of the data. The cartoon was used in the March 2025 CAUSE cartoon caption contest and the winning caption was written by Jerry Nedelman from the TB Alliance. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
This cartoon caption can be used in discussing the impact of outliers/influential points on inferential procedures. The cartoon was used in the August 2024 CAUSE cartoon caption contest and the winning caption was written by Kylee Regennitter, a student at University of Nebraska in Lincoln. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
The Tidyverse Song video is part of a series of musical summary reviews of different statistical and data science topics by Professor Rafael de Andrade Moral from Maynooth University in Ireland, including a set of three that won the grand prize in the 2021 A-mu-sing Contest.
The lyrics reviewing the use of R Tidyverse data processing packages and associated learning objectives were written and the video was produced and performed by Dr. Moral, while the music may be sung to the tune of Coldplay's 2011 hit “Paradise.”
A cartoon that can be used to discuss the importance of investigating and understanding the outliers in data sets. The cartoon was used in the January 2023 CAUSE cartoon caption contest and the winning caption was written by Amelia Williams, a student at University of Toronto. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
A cartoon that can be used to help start a class conversation about the importance of avoiding the removal of outliers without appropriate cause. The cartoon was used in the October 2021 CAUSE cartoon caption contest and the winning caption was written by Erik Svenneby a student at University of Colorado Boulder. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
A cartoon to initiate a discussion about cleaning data. The cartoon was created by American cartoonist Jon Carter.
A cartoon to facilitate discussion of designing a useful data dashboard. The cartoon was drawn by American cartoonist Jon Carter in 2014.
A cartoon to aid in discussion of fog computin, which involves connections of citizen devices to connect to a cloud computing structure. The cartoon was drawn by American cartoonist Jon Carter in 2013.
A cartoon that can be used to motivate the importance of statistics in gleaning understanding from the large amounts of data in the modern world. The cartoon was used in the November 2019 CAUSE cartoon caption contest and the winning caption was written by Shawn Orton, an instructor at the Waterford School. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
A cartoon that can be used for discussing data wrangling issues involved with bringing together data of varying file formats, naming conventions, and columns and transforming it into one cohesive data set. The cartoon was used in the September 2019 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser from University of Texas at El Paso. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.