NYC Airbnb Data Analysis
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.Start Project
9 Tasks1,500 XP
Loved by learners at thousands of companies
In this project, you will apply your data importing and cleaning skills to uncover insights about the Airbnb market in New York City.
You will import data from multiple file types and combine them to answer questions about the Airbnb market in New York. You will also use your string cleaning and date manipulation skills to extract accurate information from the datasets. The packages and tools used here are utilized by data scientists everyday since so much of the world's data is stored in unconventional formats and is not clean or analysis-ready.
- 1Importing the Data
- 2Cleaning the price column
- 3Calculating average price
- 4Comparing costs to the private rental market
- 5Cleaning the room type column
- 6What timeframe are we working with?
- 7Joining the DataFrames.
- 8Analyzing listing prices by NYC borough
- 9Price range by borough
Curriculum Manager, DataCamp
George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.