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

Perception of Workshop Overall

Perception of Workshop Instructors