https://github.com/manishkr1754/descriptive_analysis_fifa19_sql

Decriptive Analysis of FIFA19 Players using SQL
https://github.com/manishkr1754/descriptive_analysis_fifa19_sql

data-import descriptive-analysis dml-commands fifa-dataset sql sql-data-analysis sql-server sql-server-management-studio

Last synced: 6 months ago
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Decriptive Analysis of FIFA19 Players using SQL

• Host: GitHub
• URL: https://github.com/manishkr1754/descriptive_analysis_fifa19_sql
• Owner: manishkr1754
• Created: 2023-01-19T18:58:13.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-03-26T11:27:18.000Z (almost 3 years ago)
• Last Synced: 2025-03-30T06:14:17.791Z (12 months ago)
• Topics: data-import, descriptive-analysis, dml-commands, fifa-dataset, sql, sql-data-analysis, sql-server, sql-server-management-studio
• Homepage:
• Size: 624 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Descriptive_Analysis_FIFA19_SQL

Decriptive Analysis of FIFA19 Players using SQL

![image](https://user-images.githubusercontent.com/114581035/216782659-f603a4d0-5cb1-4eb0-a680-9f202cece263.png)

# Detailed Article @ Medium

[Descriptive Analysis of FIFA19 Players](https://medium.com/@kmrmanish/beginners-guide-for-data-analysis-using-sql-platform-microsoft-sql-server-practice-datasets-7da6520eb684)

# Problem Statement

 Answer analytical question about FIFA players using SQL queries

 

# Approach

Performed **Data Eyeballing**, defined **Data Dictionary**, **imported datasets** to SQL Server, and ran queries for analytical questions on **16.6k players** dataset across **15 fields**

 

# Outcome

Achieved **efficient execution** of database queries using the **quickest and simplest method** possible.