Skip to content
#

precipitation-data

Here are 46 public repositories matching this topic...

Use Python and SQLAlchemy to do basic climate analysis and data exploration of your climate database. All of the following analysis should be completed using SQLAlchemy ORM queries, Pandas, and Matplotlib. Upon completing your initial analysis, design a Flask API based on the queries that you have just developed.

  • Updated Jun 1, 2021
  • Jupyter Notebook

Application of the ARIMA model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.

  • Updated Mar 2, 2024
  • R

Improve this page

Add a description, image, and links to the precipitation-data topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the precipitation-data topic, visit your repo's landing page and select "manage topics."

Learn more