GA final presentation deck
- 1. Airbnb | Seattle By Christine Where Traveling Meets Living
- 3. Data Sets Seattle, Washington Airbnb Listings 2016 City of Seattle Demographic 2010
- 4. What variables influence price? Hypothesis: For Demographics: If there are more gen x / gen y present in a region, then the price for listings will rise. For Reviews: If there are more reviews for a listing, then the price for a listing will rise.
- 7. DEMOGRAPHICS
- 8. Total Listings: 3818 1. Downtown - 530 Listings -Avg. Price 154.41 2. Central - 369 Listings - Avg. Price 128.34 3. Magnolia/ Queen Anne - 367 Listings -avg. price 159.20 Listings by neighborhood and price
- 9. Age Bins by Percentage of Population by Neighborhood
- 10. Demographic by Price Statistics
- 11. Analysis of price by demographic Hypothesis: Incorrect Evidence : Weak R-Squared : explains 53.21% of the variation of outcomes around the mean. Price of Airbnb listings Presence of Gen X and Gen Y Decreased Price Presence of Gen z, baby boomers, and silent increased price
- 12. Reviews
- 13. Panes Line Coefficients Row Column p-value DF Term Value StdErr t-value p-value Number O f Reviews Price < 0.0001 140758 Price -0.055362 0.001076 9 -51.4085 < 0.0001 intercept 29.6654 0.170649 173.838 < 0.0001 trend lines:
- 14. Review by price Statistics
- 15. Analysis on price by reviews slide Hypothesis: Incorrect Rather the price of the listing could potentially be a contributing factor to determine the amount of reviews a listing receives. Evidence: Fairly Strong R-Squared: Explains very little of the Variation of outcome around mean
- 16. Next Steps For Demographics: - Overgeneralization of areas that individually would otherwise be significantly different. - Recent demographics data For reviews: -Consider outliers that may skew data for reviews -Account for age of listings and the amount of reviews
- 17. Q & a
- 18. Extra slides
- 19. Q & A
- 21. 1. Capitol Hill %14.85 Total Listings: 3818 Listings per Neighborhood Group 2. Downtown %13.38 3. Central %9.66 4. Queen anne %7.73 5. Ballard %6.02
- 22. HOW DOES THIS KNOWLEDGE BENEFIT AIRBNB POTENTIAL SOLUTIONS Airbnb already well established amongst millennials, because the company is built on the idea of designing for trust, maybe reach/attract a larger demographic.
- 23. AVAILABILITY 365
- 25. ROOM TYPE and NEIGHBORHOOD
- 28. SUPPLY& DEMAND
- 29. Supply of Airbnb listings Demand for Airbnb listings
- 30. Demand for Airbnb listings Supply of Airbnb listings
- 31. Demand for Airbnb listings Supply of Airbnb listings