Chocolate Soup 🍫

Webscraping python notebook project using Jupyter notebook for learning data analysis, pandas, matplotlib, and BeautifulSoup

Table of Contents

• Scope
• General Information
• Technologies
• Setup

Scope

Data

Data provided by Codecademy URL content https://content.codecademy.com/courses/beautifulsoup/cacao/index.html

Questions

Some questions we thought about when we found this dataset were:

• Where are the best cocao beans grown?
• Which countries produce the highest-rated bars?
• What's the relationship between cocao solids percentage and rating?

Analysis

• scrape data into soup object from HTML parser, `html.parser'
• python loop data into lists
• create pandas DataFrame from lists
• using .groupby, .nlargest, and .mean to evaluate DataFrame
• plot data on scatter and histogram using matplotlib
• draw a best-fit line over scatter plot

Additional Considerations

None

General Info

Technologies

• Python 3
• Jupyter Notebook
• Pandas Library
• Matplotlib Library
• Requests Library
• bs4 Library

Setup

• download using Jupyter notebook