Initial Data Analysis with NoSQL

This repository includes a basic data analysis using MongoDB, and the dataset is obtained from Kaggle at:
Students Grading Dataset - Kaggle

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📊 Dataset Overview

The dataset contains the performance data of students across various departments, such as:

• Engineering
• Mathematics
• Computer Science
• Business

In addition, the dataset includes the following attributes for each student:

• Study hours per day
• Sleep hours per day
• Stress level
• Scores obtained in assessments
• Attendance
• Education level of parents
• Internet availability at home

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🔍 Performed Analyses

The following analyses were conducted using MongoDB:

1. Total students in each department and the percentage of students in each department out of all students.
2. Total number of students involved in extracurricular activities in each department.
3. Count of students who have internet access at home and those who do not have access.
4. Count of students who are above age 20 and those who are below age 20.
5. Count of students who get more than 7 hours of sleep per day (as recommended by health guidelines) and those who sleep less, including:
   • Average stress level
   • Average study hours per day
     For each sleep category, data is further broken down per department.

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🛠 Tools Used

• MongoDB (NoSQL database)
• Dataset (Kaggle)