Analysis of Student Performance based on various factors using Data Visualization. Objective of Analysis- To understand how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).
Things done in Exploratory Data Analysis-
- Analysed insights in the dataset.
- Understood the connection between the variables and to uncover the underlying structure
- Extracted the import Variables
- Detected anomalies
- Tested the underlying assumptions.
- Provided Insights with Suitable Graphs and Visualizations.
- Written all the inferences with supporting Analysis and Visualizations.
Data provided to work on-
gender : Gender of the student | race/ethnicity : Race of the Student As Group A/B/C | parental level of education : What is the education Qualification of Students Parent | lunch : Whether the lunch is Standard type/Free lunch or Some discounted lunch | test preparation course : Whether Student has Taken or not and Completed | math score : Scores in Maths | reading score : Scores in Reading | writing score : Scores in Writing