Analyzing Chocolate Bar Ratings

Exploratory Data Analysis on the Chocolate Bar Ratings dataset provided on Kaggle by Rachael Tatman

The Scope of this Analysis

Exploratory Data Analysis(EDA) is one of the most crucial steps in a Data Science project. EDA in basic terms is a way of "Understanding the data with the help of visualizations and descriptive statistics". A lot of courses I signed up for in the past emphasised on the need to use EDA to understand datasets and use this information to either model a ML/DL problem or tell a convincing story about the dataset to a stakeholder.
Therefore, through this project I made an attempt at improving my EDA skills using the Chocolate Bar Ratings Dataset.

Source of the Dataset

The dataset used here have been acquired from Rachael Tatman's Chocolate Bar Ratings dataset on Kaggle.
The original ratings were compiled by Brady Brelinski, Founding Member of the Manhattan Chocolate Society. For up-to-date information, as well as additional content (including interviews with craft chocolate makers), please see his website: Flavors of Cacao

Tools Used

Jupyter Notebook via the Anaconda Distribution - For analysis and code
Google Sheets - For preliminary analysis
Canva- For designing the infographic

Python Libraries Used

pandas
matplotlib
seaborn

License

This project is licensed under the MIT License
You can feel free to

Modify the Code
Distribute It
Use it for Commercial as well as Private purposes

NOTE : Do have a read of the License document before using this project.

Interested in further discussion?

Mail : yadramshankar@gmail.com
Twitter Handle : @thedatacrack
LinkedIn : Ramshankar Yadhunath