This repository demonstrates the use of Sweetviz 2.0.
Sweetwiz is an open-source pandas-based library to perform the primary EDA task without much hassle or with just two lines of code. It also generates a summarised report with great visualizations.
All of the code runs on Python 3.
It is mixed data, that is, both numerical and categorical data are present. The dataset consists of 1000 students record with a total of eight features, viz.,
- gender : categorical
- race/ethnicity : categorical
- parental level of education : categorical
- lunch : categorical
- test preparation course : categorical
- math score : numerical
- reading score : numerical; and
- writing score : numerical
The dataset is taken from 'Students Performance in Exams - Marks secured by the students in various subjects' by Jakki Seshapanpu Ref. - https://www.kaggle.com/spscientist/students-performance-in-exams