Restaurants in Mountain View
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This document discusses analyzing factors that affect restaurant ratings on Google+, develops a regression model to predict ratings, and recommends some options for where Matt Jayson could eat dinner. It finds that being a Japanese, American, or Chinese restaurant can impact ratings. It questions the fit of the regression model and proposes further analyzing the data by restaurant type and location. For dinner, it suggests a popular Indian restaurant or a hipster cafe.
Restaurants in Mountain View
- 1. QUESTION I WANTED TO EXPLORE 1. How does the type of restaurant (Chinese, American, Indian, etc.) affect the rating it gets on Google+? 2. Where should Matt Jayson eat for dinner? Thursday, December 12, 13
- 2. The regression equation is RATING = 3.30 + 0.00023(Reviews) + 0.250(Cost Value) + 0.189(MexicanInd) + 0.214(JapaneseInd) - 0.173(ChineseInd) - 0.0950(AmericanInd) Thursday, December 12, 13
- 3. YES, THE FIT IS A LITTLE QUESTIONABLE Thursday, December 12, 13
- 4. INTERESTING FINDINGS Being a Japanese, American, Chinese style restaurant increases your odds of possibly getting higher ratings on Google+ Cost was not a signi?cant player in predicting reviews. Thursday, December 12, 13
- 5. WHAT¡¯S NEXT? Segment the data by restaurant type and analyze separately. Does the type of restaurant affect the number of reviews (aka # of customers)? How does address affect rating and review count? Thursday, December 12, 13
- 6. WHERE YOU SHOULD EAT: 1. Join the masses Amber India Rest. Cascal 2. Be a hipster Sweet Leaf Cafe Marya¡¯s Cafe Thursday, December 12, 13
- 7. THANK YOU FOR LISTENING! Thursday, December 12, 13