In this project, I made a Exploratory Data Analysis (EDA) about students' performance in Technical Drawing disciplines from a Brazilian University.
Get a better understanding of how Technical Drawing disciplines are going in the past few years, with focus on students' performance and dropouts.
I used R language 4.0 and RStudio IDE 1.3.959 to perform all analysis.
Some statistics used: aov, shapiro test, levene test, kruskal wallis test, multiVDA and duncan test.
Environment:
platform x86_64-pc-linux-gnu
arch x86_64
os linux-gnu
system x86_64, linux-gnu
status
major 4
minor 0.0
year 2020
month 04
day 24
svn rev 78286
language R
version.string R version 4.0.0 (2020-04-24)
nickname Arbor Day
The data is about students from Technical Drawing disciplines from a Brazilian University.
Two different datasets were provided:
1- Student data separated by undergraduating course, from all professors (without the information about who ministered the discipline).
2- Students data from one specific professor from Technical Drawing I and II.
You can clone/download/fork the project and use for your own goals.
- R: has all source code used for this analysis;
- csv: has source data;
- fonts: has some specific fonts used in some figures generated from source code;
- images: has all images generated from this analysis;
Everyone is free and encouraged to contribute with this project through Pull Requests. Soon a guideline will be provided.
I want to give a special thanks to professor Alexandro Schaffer for providing this datasets for our analysis.