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