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# COMP5070 Statistical Programming For Data Science

## Question:

Yelp is an online business that accepts and publishes reviews by anyone and everyone about local businesses, ranging from dentists to hairstylists, hotels and shopping.
A particularly popular business type to review on yelp are restaurants, cafes and other eating establishments. In this question, we are going to analyse a number of yelp reviews for restaurants, cafes, etc., and provide our statistical insights.

Data and Background Information Yelpers have written over 71 million reviews to date. Due to Yelp’s astounding popularity as a go-to site for recommendations (or warnings!) Yelp has become a very important site, particularly for small businesses who can achieve success or close down, based on their online reviews. The data for this question is yelp_reviews.csv. It contains 1,569,264 rows of data across 12 columns and is a whopping 122.5MB according to my file explorer. This is the data you will analyse.
The variables are:
• user_id: anonymised Yelp reviewer id.
• date: date of review (dd/mm/yyyy format)
• stars: star rating. 1 star is the lowest rating, 5 stars is the best rating.
• review_length: the review length in characters
• pos_words: the total number of ‘positive’ words used in the review
• neg_words: the total number of ‘negative’ words used in the review
• net_sentiment: the overall sentiment of the review. A positive number implies a positive review (more positive words than negative) and a negative number indicates the opposite.

For this assignment, you will need to produce a reportsummarising a collection ofrequested statistical analyses and visualisations of the data. See the next page for details.

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