Los Angeles Airbnb Market Analysis & Price Prediction

Motivation:

1. Growing demand and popularity in Aribnb as alternatives to Hotels

2. Investigate what factors influence Airbnb pricing the most

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Project Details:

1. Programming Language: Python

2. Data Source: Inside Airbnb

• Link: http://insideairbnb.com/get-the-data

3. Explantory Data Analysis (Bar Charts):

• Reasons for analyzing LA instead of other cities in California (Figure 1 & 2)
• Average listing price per neighborhood (Figure 3)
• Numbers of rooms offered by type (Figure 4)

4. Correlation (Heatmaps)

• Bedroom features and price
• Days availability and price
• Reviews and price

5. Price Prediction Analysis

• OLS Regression
• Linear Regression

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Conclusion

Answer to the initial question: What Factors Affect Airbnb Pricing the Most?

• Bedroom features: number of bedrooms, accomodates, and beds
• Other factors that also impacted: location and neighborhood

Idea: Price is likely to fluctuate according to the amenities supplied in each individual listing