https://github.com/faraazarsath/guvi-task-4

This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.
https://github.com/faraazarsath/guvi-task-4

data-visualization matplotlib numpy pandas

Last synced: about 1 month ago
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This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.

• Host: GitHub
• URL: https://github.com/faraazarsath/guvi-task-4
• Owner: FaraazArsath
• Created: 2022-08-27T18:20:10.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-18T17:27:43.000Z (over 1 year ago)
• Last Synced: 2023-10-18T18:39:40.149Z (over 1 year ago)
• Topics: data-visualization, matplotlib, numpy, pandas
• Language: Jupyter Notebook
• Homepage:
• Size: 44.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# GUVI-Task-4

## Overview

This repository contains Python scripts for analyzing student performance data from two CSV files (college_1.csv and college_2.csv). The provided tasks include categorizing students based on their CodeKata scores, calculating average performance, identifying top performers, and visualizing department-wise CodeKata performance.

## Tasks

### 1. Importing Necessary Libraries: The initial step involves importing the required libraries, including Pandas for data manipulation.

### 2. Categorizing Students: Each CSV file is split into multiple categories based on CodeKata scores.

Exceeded Expectations.csv: CodeKata score > 15000

Reached Expectations.csv: 10000 < CodeKata score < 15000

Needs Improvement.csv: 7000 < CodeKata score < 10000

Unsatisfactory.csv: CodeKata score < 7000

### 3. Comparing Previous and Current Performance: Calculates the average of previous week's Geekions versus current week's CodeKata scores.

### 4. Shining Stars of the Week: Identifies the top 3 candidates with the highest Geekions.

### 5. Department-wise CodeKata Performance (Pie Chart): Visualizes the distribution of CodeKata performance across different departments.