In this project, we aim to analyze a Yelp Dataset by looking at business-based and user-based factors according to star-ratings. The user will be able to specify which factors to visualize for what average star rating, and the program will output appropriate graphs (pie charts or histograms) to visualize the specified data.
| Business | User |
|---|---|
reservations: Whether or not the business takes reservations |
review_count: The number of reviews a user has posted |
delivery: Whether or not the business delivers |
yelping_since: The year the user started yelping |
credit_cards: Whether or not the business accepts credit cards |
votedUseful: The number of times the user's reviews have been voted useful by other users |
states: The state in which this business is located |
votedFunny: The number of times the user's reviews have been voted funny by other users |
cities: The city in which this business is located |
votedCool: The number of times the user's reviews have been voted cool by other users |
common_categories: Business category (e.g., nightlife, fast food) |
|
review_count: The number of reviews the business received |
|
prices: The price category of the business |
- For each of the businesses, the average star rating (1-5) refers to the average rating they received.
- For each of the users, the average star rating (1-5) refers to the average rating the user gave.
From Github, clone the directory by entering the following into your Terminal command line:
git clone https://github.com/djasmine/Yelp_CrossMajor.git
You should now see a folder titled "Yelp_CrossMajor" in your main directory. Into this folder, please place two data files titled "yelp_academic_dataset_business.json" and "yelp_academic_dataset_user.json". These two files can be downloaded from the NYU Drive via this public link: https://drive.google.com/drive/folders/0BxE-hoN6fsxXVHNPVVhFOVRKLVE?usp=sharing
Once you have the two json data files in your cloned Yelp_CrossMajor folder, go to your Terminal command line and enter the following:
cd ./Yelp_CrossMajor
To run the program, enter:
python main.py
You will then be asked to:
You will define 3 parameters:
- Refer to the table above and decide whether you are interested in
businessoruservariables - Find the label of the specific variable you are interested in (e.g.,
delivery,yelping_since) - Determine what average star rating you want to filter by (e.g.,
3.5). This can also be a range: The input23would filter businesses or users with an average of anywhere between 2 - 3 stars.
business delivery 3
The above input will generate a pie chart representing the proportion of businesses with an average star rating of 3 that deliver ("True") or don't deliver ("False").
user yelping_since 4 5
The above input will generate a pie chart representing when users who gave average ratings of 4-5 stars began Yelping, by year.
In order to exit the program, simply enter finish into the command line.
To run unit tests, type the following into your command line:
python unit_tests.py
- Daniel Amaranto - da1933@nyu.edu
- Jiaming Dong - jd3405@nyu.edu
- Julie Cachia - jyc436@nyu.edu