Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/katrinafermanto23/hurricane-analysis
https://github.com/katrinafermanto23/hurricane-analysis
jupyter-notebook python
Last synced: 7 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/katrinafermanto23/hurricane-analysis
- Owner: Katrinafermanto23
- Created: 2025-01-14T09:40:02.000Z (24 days ago)
- Default Branch: main
- Last Pushed: 2025-01-23T05:54:38.000Z (15 days ago)
- Last Synced: 2025-01-23T06:31:05.548Z (15 days ago)
- Topics: jupyter-notebook, python
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Hurricane Analysis
This project focuses on analyzing data related to Category 5 Hurricanes, the most intense type of tropical cyclone.
Project Goals:
- Data Organization and Manipulation:
- Develop functions to effectively organize and manipulate hurricane data.Data Analysis:
- Extract meaningful insights from the hurricane data, such as:
- Identifying trends or patterns in hurricane occurrences.
- Analyzing the impact of specific factors on hurricane intensity.
- Comparing and contrasting different hurricanes based on key characteristics.Key Features:
- Well-defined Functions: Reusable functions for data processing and analysis.
- Data Structures: Effective use of lists and dictionaries to store and organize hurricane data.
- Data Analysis Techniques: Application of appropriate data analysis techniques to extract valuable insights.Technologies Used:
- Python
- Jupyter Notebook (or other suitable development environment)