AngelaJ34 / Weather-Web-Scraping

Conducting data analysis through web scraping in Python for National Weather Service

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Overview

The purpose behind this project is to scrape the National Weather Service website is to extract information such as weekly forecast, weather, elements , and other details without any unique identifiers. In doing so allows the user to experiment with the various parameters within the dataset csv file. What story this data tells is that prediciting the various types of weather patterns that are likely to occur throughout the week.

Website Source

National Weather Service: https://forecast.weather.gov/MapClick.php?lat=34.05361000000005&lon=-118.24549999999999#.Xy375hNKjw4

Technological Tools

Python 3.8, Pandas, NumPy, requests, BeautifulSoup

Installation instructions

1.) Please have the latest version of python and Jupyter Notebook installed on your preferred operating system.

2.) Must have Pandas downloaded in terminal or command prompt to access this program: pip3 install pandas

3.) Must have NumPy downloaded in terminal or command prompt to access this program: pip3 install numpy

4.) Requests must be downloaded in terminal or command prompt to access this program: pip3 install requests

5.) BeautifulSoup must be downloaded in terminal or command prompt to access this program: pip3 install beautifulsoup4

About

Conducting data analysis through web scraping in Python for National Weather Service

License:MIT License


Languages

Language:Python 100.0%