Mars Weather Data Analysis

Module 11 Challenge - Mars News & Weather

Table of Contents

• Project Description
• Data Source
• Code Source
• Installation and Usage
• Results

Project Description

The project consists of two parts:

1. Part 1: Scrape Titles and Preview Text from Mars News
   A web scraper to extract news titles and preview text from the Mars News website using BeautifulSoup and Splinter.

2. Part 2: Scrape and Analyze Mars Weather Data
   A scraper to collect weather data from the Mars Temperature Data Site and analyze the atmospheric conditions on Mars, including temperature trends, pressure variations, and the length of a Martian year.

Data Source

The data used in this project comes from:

• Mars Temperature Data Site: https://static.bc-edx.com/data/web/mars_facts/temperature.html
• Mars News Site: https://static.bc-edx.com/data/web/mars_news/index.html

Code Source

The code is organized into the following Jupyter Notebooks:

• part_1_mars_news.ipynb: Contains the code to scrape news titles and preview text from the Mars News website.
• part_2_mars_weather.ipynb: Contains the code to scrape weather data from the Mars Temperature Data Site, perform data analysis, and visualize the results.

Installation and Usage

To run the notebooks, you will need to have Python 3 and the following libraries installed:

• pandas
• numpy
• matplotlib
• beautifulsoup4
• splinter
• jupyter

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/mars-news-challenge.git
   cd mars-news-challenge
   

2. Open Jupyter Notebook:

   jupyter notebook
   

3. Open part_1_mars_news.ipynb or part_2_mars_weather.ipynb to run the analysis.

Results

The analysis provides insights into:

• The coldest and warmest months on Mars at Curiosity's location.
• The months with the lowest and highest atmospheric pressure.
• The estimated length of a Martian year in Earth days.

Visualizations of temperature trends and pressure variations are included in the Jupyter Notebooks.