msci 342 demo
TRANSCRIPT
What parameters does it take?• Cuisine (ie Chinese, Indian, Cuban, Pizza)• Preferences
• Restaurants close by• Top rated• Random
Where is the restaurant data from?• Yelp academic dataset, 300MB+ file
• Extracted JSON file to csv• Removed Reviews and kept only Waterloo/Kitchener business data• Uploaded to mySQL server
How was the data cleansed?
APIData store
Mansci Server
What technologies were used?• HTML• CSS• PHP• JavaScript• jQuery• Ajax
• Adobe Photoshop/Illustrator
Design Tools?
Yes! We learned a lot! Our group went from knowing next to nothing about software development to learning tons!
MSCI 342 was an excellent course and even when we tried and failed (such as node.js) we overcame the obstacles!
Thanks Professor Igor for a great time!On the other hand, Po looks like he might be eating a biiit too much..
Check it out!http://mansci-ugdb.uwaterloo.ca/~sgurkar/home.php