Event Rules

1. Eligibility: Each team must consist of 2 to 4 members, and all participants must be students from the same institution. 2. Identity Verification: Each team member should carry a valid ID card from their institution. 3. Data Usage: Only the provided dataset may be used for analysis; external datasets are not allowed. 4. Time Management: Participants must strictly adhere to the time limits for each task. 5. Originality: All solutions should be original. Any instance of plagiarism will result in disqualification. 6. Presentation: Teams must present their findings to the judges in Round 2.

Judging Criteria

Round 1: SQL Query Writing: 1.Accuracy:Correctness of the SQL queries written by participants and ensuring the output matches the task requirements. 2.Efficiency:Optimization of queries for performance and proper use of indexes, joins, and subqueries without unnecessary complexity. 3.Clarity and Syntax:Use of proper SQL syntax, formatting, and readability and inclusion of meaningful aliases and comments (if applicable). 4.Time Efficiency:The speed with which queries are submitted. Round 2: Data Processing, Analysis, and Visualization: Task 1: Data Processing: 1.Data Cleaning Quality:Handling of missing values, duplicates, and outliers and preparing the dataset for accurate and consistent analysis. 2.Efficiency:Logical and efficient processing steps and avoidance of redundant or unnecessary transformations. 3.Code Quality:Readability, organization, and proper use of Python libraries like Pandas and commenting and adherence to coding best practices. 4.Time Efficiency:The speed with which the data is processed. Task 2: Data Analysis and Visualization 1.Insightfulness:Depth and relevance of the insights derived from the dataset and how well the findings address the task objectives. 2.Visualization Quality:Use of effective, clear, and visually appealing charts or graphs and proper labelling, legends, and choice of visualization types. 3. Presentation:Ability to clearly communicate findings to the judges and the logical flow and persuasiveness of the story conveyed through the analysis. 4. Creativity and Originality:Innovative approaches or unique perspectives in analysis and visualization. 5. Time Efficiency:The speed with which the data is analysed and visualized.

Event Coordinators

Punith V T - 8073195235 | Namitha Shree - 8310527612 | Shruthi Iyer - 9686610042