/Building-Flask-API-for-Vacation-Planning-and-Exploring-Climate-Data

Reference Repo - Coding Skills Practice

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Building Flask API for Vacation Planning and Exploring Climate Data

Education Purpose

This repository is intended for educational purposes, providing a platform to practice and document data analytics and visualization skills. It contains projects and exercises designed to enhance proficiency in data analysis, visualization techniques, and related tools.

Project

A climate analysis and data exploration is performed for Honolulu, Hawaii, using Python, SQLAlchemy, Pandas, and Matplotlib. The analysis involves investigating precipitation and station data. A Flask API is used to provide climate-related information.

Goals:

  1. Analyze climate data: Use SQLAlchemy ORM (Object-Relational Mapping) queries to explore climate data, including precipitation and temperature observations.
    • . Note: ORM queries use object-oriented programming concepts instead of raw SQL queries to interact with databases. SQLAlchemy is a Python library that provides an ORM system, allowing developers to use Python more intuitively with databases.
  2. Generate visualizations: Use the Matplotlib Python library to visualize to visualize precipitation and temperature data patterns in plots and histograms.
  3. Develop a Flask API: Design API routes to retrieve climate-related information based on different queries, such as precipitation, station details, and temperature observations.

Tools/Skills Used:

  • Python: Programming language for data analysis and API development.
  • SQLAlchemy: Python library to connect to the SQLite database and perform database operations.
  • Pandas: Python library for data manipulation and analysis, including loading query results into DataFrames.
  • Matplotlib: Python library to create visualizations, such as line plots and histograms.
  • Flask: Python library to create a framework for creating the API and defining routes to serve climate-related data.

Results: A climate analysis was performed with a functional Flask API and the results were visualized. The analysis provides insights into precipitation patterns and temperature observations, and the API enables users to retrieve specific climate data. This or a similar tool like it can be used to enhance ones' trip planning experience for a vacation in Honolulu, Hawaii.

Precipitation Hawaii Temperature Hawaii