https://github.com/aneripatel28/cerealratinganalysis
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (9.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AneriPatel28
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 455 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Cereal Rating Analysis
Overview
This repository houses the "DV Project" Jupyter notebook which explores the relationship between various nutritional factors of cereals and their consumer ratings. The analysis specifically aims to determine which manufacturers receive the highest ratings and how different nutritional values impact these ratings.
Dataset
The analysis utilizes the cereal.csv dataset, originally sourced from Kaggle. This dataset comprises detailed nutritional information along with ratings for various cereals. The key attributes included in the dataset are:
- Manufacturer: The company producing the cereal.
- Calories: Energy content per serving.
- Protein: Grams of protein per serving.
- Fat: Grams of fat per serving.
- Fiber: Grams of dietary fiber per serving.
- Carbohydrates: Grams of carbohydrates per serving.
- Sugar: Grams of sugar per serving.
- Sodium: Milligrams of sodium per serving.
- Potassium: Milligrams of potassium per serving.
- Vitamins: Percentage of vitamins per serving.
- Shelf: Shelf placement in the store (1, 2, or 3).
- Weight: Weight of one serving.
- Cups: Recommended number of cups per serving.
- Rating: Consumer rating of the cereal.
Analysis Objectives
The notebook aims to provide insights into: 1. Which manufacturers receive the highest consumer ratings. 2. The impact of nutritional factors like calories, fat, fiber, and sugar on cereal ratings. 3. Trends and patterns that can help manufacturers improve their products.
How to Use
- Clone the repository to get access to the dataset and the analysis notebook:
bash git clone https://github.com/yourusername/CerealRatingAnalysis.git - Navigate to the repository:
bash cd CerealRatingAnalysis - Install necessary Python packages:
bash pip install jupyter pandas matplotlib seaborn - Run the Jupyter notebook:
bash jupyter notebook 'Nutritional_content_Analysis.ipynb'
Contributions
Contributions to this project are welcome. You can contribute by improving the existing analysis, adding new features to the dataset, or enhancing the documentation.
Licensing
This project is available under the MIT License. For more details, see the LICENSE.md file.
Owner
- Login: AneriPatel28
- Kind: user
- Repositories: 1
- Profile: https://github.com/AneriPatel28