Evaluation¶
- Lesson plan
- Evaluation
- Reflection
- Session 1: ggplot2 and basic R
- Date: 2025-10-03
- pre.csv
- post.csv
- analyse.R
Statistics¶
| question | mean_pre | mean_post | p_value | different |
|---|---|---|---|---|
| I feel comfortable with the book 'R for Data Science' | 0.7692308 | 4.000000 | 0.0002311 | TRUE |
| I can recommend the swirl package to the right person | 0.6153846 | 3.222222 | 0.0018848 | TRUE |
| I can use ggplot2 to create a simple plot | 1.8461538 | 3.666667 | 0.0635871 | FALSE |
| I can save a plot created by ggplot2 | 2.0000000 | 3.555556 | 0.0759172 | FALSE |
| I can tell what ggplot2 aesthetics are | 1.0000000 | 3.666667 | 0.0010547 | TRUE |
| I can tell what ggplot2 geometrical objects are | 0.6923077 | 3.666667 | 0.0011247 | TRUE |
| I can assign a value to a variable | 1.6153846 | 4.000000 | 0.0043364 | TRUE |
| I can use snake case when naming a variable | 0.5384615 | 3.888889 | 0.0001414 | TRUE |
| I can write a comment | 1.9230769 | 3.666667 | 0.0520753 | FALSE |
| I can correct typos in simple code | 1.9230769 | 3.777778 | 0.0283757 | TRUE |
| I can read a comma-separated file | 1.9230769 | 3.875000 | 0.0457190 | TRUE |
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Confidence¶
Feedback¶
- This was a little fast-paced, even for a user with some experience with R. Very helpful though! Plenty to take with me and go from here.
- I think the course was a bit too packed - although I have experience in coding (in Python) using a ""new"" language takes some time so it was difficult to get through all the exercises
- Thanks so much for a fun and informative lecture. As a self-learner I really appreciated all the resources you have shared with us! Also, I loved your positive attitude and high energy :)
- Maybe it would be better to explain how to read the code before actually using the program, but overall it was a formative and fun experience
- It has been fun learning about R although, I feel I still need to make time to learn and understand it since I am a complete beginner. Otherwise, I thoroughly enjoyed the session.