Beer_reviews

Beer reviews based analysis for choosing best quality beer

Installations required

This project requires Python 3.x and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib

You will also need to have software installed to run and execute an iPython Notebook

Content

Data set is collected from Kaggle. And data contains more than 1.5m reviews for the all the beer worldwide.

Project Motivations:

• Which type (style) of beer is favoured more around the world and which have the top ratings ?

• Which beers have the good quality (review_taste) irrespective of the popularity of beer as number of reviews. ?

• Does the aroma of the beer is also proportionally related to its higher ratings?

• What is the overall list of Best quality beer to be selected ?

Data

Data contained is very huge. Not able to upload in Github repo. So uploading the kaggle data link in data folder data/data_Kaggle_content.txt

Run

In a terminal or command window, navigate to the top-level project directory Beer_reviews/ (that contains this README) and run one of the following commands:

ipython notebook BeerReviews.ipynb

or

jupyter notebook BeerReviews.ipynb

This will open the iPython Notebook software and project file in your browser.