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Collecting and Analyzing Weather Data Using APIs

Overview

In this project, I have collected weather data through APIs. The API data is sourced from a weather website. The list of cities used for data collection is provided in CSV format. I performed Exploratory Data Analysis (EDA) to derive meaningful insights from the data.

Data Collection

  • Data Source: The weather data was obtained using an API from [API Provider's Website].
  • Cities List: The cities for which the data was collected are listed in the cities.csv file.

Analysis

The Exploratory Data Analysis (EDA) performed includes:

  • Top Hottest Cities: Identified the top hottest cities based on temperature data in Kelvin.
  • Comparison Between Hottest Cities and Humidity: Analyzed the relationship between temperature and humidity in the hottest cities.
  • Weather Distribution: Analyzed the distribution of weather data across different cities.

Files

  • cities.csv: Contains the list of cities for data collection.
  • weather_analysis.ipynb: Jupyter Notebook with code and analysis.
  • README.md: This file.

How to Use

  1. Clone the repository: git clone https://github.com/AHSANATIQ98/Collecting-and-Analysing-Weather-Data-Using-APIs.git