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

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.

• 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

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

• pandas
• matplotlib
• seaborn

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.

• Mail : [email protected]
• Twitter Handle : @thedatacrack
• LinkedIn : Ramshankar Yadhunath