Data Carpentry’s Post-Workshop Survey Summary Plots

Revised: December 2017

A PDF of the survey questions, the data used in this analysis, and full R code are located on the Data Carpentry assessment repo on GitHub. Feel free to use the data and tell us about your findings.

Demographics

Status	n	%
Undergraduate student	60	7.3
Graduate student	435	53.0
Post-doc	144	17.5
Faculty	96	11.7
Industry	7	0.9
Other (please specify)	79	9.6

Perception of Workshop Involvement & Practical Knowledge

Involvement	n	%
Somewhat involved	149	14.8
Very involved	512	50.8
Enthusiastically involved	347	34.4

Practical-Knowledge	n	%
A great deal	585	58.0
Some practical knowledge	418	41.4
None	6	0.6

Perception of Post-Workshop Skills

Perception of Data Management and Analysis Skills Pre- and Post-Workshop

Skill-Level-Prior	n	%
Very low	105	18.5
Low	230	40.6
High	218	38.4
Very high	14	2.5

Skill-Level-Following	n	%
About the same	75	7.7
Somewhat higher	479	49.3
Higher	355	36.5
Much higher	63	6.5

Data Carpentry’s Post-Workshop Survey Summary Plots

Demographics

Perception of Workshop Involvement & Practical Knowledge

Perception of Post-Workshop Skills

Perception of Data Management and Analysis Skills Pre- and Post-Workshop

Perception of Workshop Overall

Perception of Workshop Instructors