mpharsha26/eda_studentsperformance

A simple exploratory data analysis to understand how the student's performance (test scores) is affected by the variables like gender, ethnicity etc.

EDA_StudentsPerformance

Things done under this analysis :

• Analysed insights in the dataset.
• Understood the connection between the variables and uncovered the underlying structure.
• Extracted the import Variables.
• Detected anomalies.
• Checked for any missing data with the help of heatmap.
• Tested the underlying assumptions.
• Provided insights with Suitable Graphs and Visualizations.
• Visualizations are done using pie charts, box plots, violen plots etc.

Independent variables and their explanation:

• 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