{"id":24064047,"url":"https://github.com/faraazarsath/guvi-task-4","last_synced_at":"2026-04-18T11:04:20.721Z","repository":{"id":198449395,"uuid":"529664511","full_name":"FaraazArsath/GUVI-Task-4","owner":"FaraazArsath","description":"This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. 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The provided tasks include categorizing students based on their CodeKata scores, calculating average performance, identifying top performers, and visualizing department-wise CodeKata performance.\n\n## Tasks\n\n### 1. Importing Necessary Libraries: The initial step involves importing the required libraries, including Pandas for data manipulation.\n\n### 2. Categorizing Students: Each CSV file is split into multiple categories based on CodeKata scores.\n\nExceeded Expectations.csv: CodeKata score \u003e 15000\n\nReached Expectations.csv: 10000 \u003c CodeKata score \u003c 15000\n\nNeeds Improvement.csv: 7000 \u003c CodeKata score \u003c 10000\n\nUnsatisfactory.csv: CodeKata score \u003c 7000\n\n### 3. Comparing Previous and Current Performance: Calculates the average of previous week's Geekions versus current week's CodeKata scores.\n\n### 4. Shining Stars of the Week: Identifies the top 3 candidates with the highest Geekions.\n\n### 5. Department-wise CodeKata Performance (Pie Chart): Visualizes the distribution of CodeKata performance across different departments.\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaraazarsath%2Fguvi-task-4","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffaraazarsath%2Fguvi-task-4","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaraazarsath%2Fguvi-task-4/lists"}