katerynalapina_demo_final.pdf

Transcript

1. Kateryna Lapina Insight Data Science, Spring 2016 NYCeats: choose your dining crowd in NYC
2. New York is famous for its restaurants
3. New York is famous for its restaurants But which one suits you best?
4. New York is famous for its restaurants NYCeats will help you to choose your dining crowd in NYC & avoid the overrated tourist traps! But which one suits you best?
5. Data and Algorithm: NYC 800,000 Geo-location User’s home city Local time Popular with everyone! High Locals! Tourists! Low Local score Tourist score Kernel Density restaurants
6. Tourists eat here! Example 1: Club A Steakhouse Is this place touristy? Let’s see if this works
7. Tourists eat here! Example 1: Club A Steakhouse Is this place touristy? Let’s see if this works
8. Locals eat here! Example 2: My Pie Do locals really go there? Let’s see if this works
9. Locals eat here! Example 2: My Pie Let’s see if this works Do locals really go there?
10. Kateryna Lapina Ph.D., Environmental Engineering Atmospheric Modeling at CU Boulder Modeling air quality About me
11. “Locals eat” If local/tourist>1.5 KDE bandwidth 50m Saturday, Sunday “Locals eat” If local/tourist>1.1 KDE bandwidth 50m Saturday, Sunday “Locals eat” If local/tourist=1.5 KDE bandwidth 100m Saturday, Sunday “Locals eat” If local/tourist=1.5 KDE bandwidth 50m Friday, Saturday, Sunday Sensitivity analysis
12. Locals eat here! Let’s see if this works Example 3: Heidi’s House