Marks scored by the students in high school students from the United States. The dataset is 72.04 kB. The data is already clean. But I added a column for the total score. I ordered the parental level of education column, as well as the race/ethnicity column which was ordered alphabetically.
Exploration of all variables in the Univariate Exploration
Exploration of all pairs in the Bivariate Exploration Comparison between maths, reading and writing scores in the Multivariate Exploration All variables except the gender are aggregated in one figure in the Multivariate Exploration. All scores are aggregated in 'total percentage'; columns represent different groups or races; rows represent different levels of education sorted in ascending order; each sub figure is divided into 2 violins; the left one for standard lunch and the right one for the free/reduced lunch; each violin is splitted into 2 colours: light brown for students who finished test preparation course and blue for others.
Do the scores follow the normal distribution?
Comparision between females and males in different subjects
How does lunch affect scores?
How does parents level of education affect their children's scores?