https://github.com/k-l-16/marathon-data-analysis

cleaning, enriching, and analyzing marathon race data
https://github.com/k-l-16/marathon-data-analysis

geopy pandas python sql

Last synced: about 2 months ago
JSON representation

cleaning, enriching, and analyzing marathon race data

• Host: GitHub
• URL: https://github.com/k-l-16/marathon-data-analysis
• Owner: K-L-16
• License: mit
• Created: 2025-06-14T03:27:36.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-07-03T00:54:54.000Z (12 months ago)
• Last Synced: 2025-07-03T01:32:26.338Z (12 months ago)
• Topics: geopy, pandas, python, sql
• Language: Python
• Homepage:
• Size: 11.7 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Marathon-Data-Analysis

cleaning, enriching, and analyzing marathon race data

---

- **Python**

  - `pandas` (data cleaning and transformation)

  - `geopy` (latitude and longitude retrieval based on city/state)

- **SQL**

  - Aggregation queries

  - Window functions (RANK)

  - CTEs (Common Table Expressions)

- **Tools**

  - DataGrip (SQL query management)

  - GitHub (version control)

---

## Key Features

 - Cleaned raw marathon race data (removed missing values, combined names, computed total minutes).  

 - Enriched data with geographic coordinates (latitude, longitude).  

- Saved processed data to CSV for further analysis.  

 - Wrote SQL queries for:  

- Counting distinct states  

- Calculating average race times by gender  

- Finding age range by gender  

- Grouping average times by age bucket  

- Ranking top 3 finishers per gender  

---