project
NYC Airbnb Data Analysis
Beginner
Updated 12/2023Start Project for Free
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9 Tasks1,500 XP5,351
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Try DataCamp for BusinessProject Description
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.
Project Tasks
- 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
Technologies
Python
Topics
Data Manipulation
George BoormanCurriculum 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.