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Premium project

Exploring the NYC Airbnb Market

Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.

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9 Tasks1,500 XP

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Project 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

  1. 1
    Importing the Data
  2. 2
    Cleaning the price column
  3. 3
    Calculating average price
  4. 4
    Comparing costs to the private rental market
  5. 5
    Cleaning the room type column
  6. 6
    What timeframe are we working with?
  7. 7
    Joining the DataFrames.
  8. 8
    Analyzing listing prices by NYC borough
  9. 9
    Price range by borough

Technologies

Python Python

Topics

Data ManipulationImporting & Cleaning Data
George Boorman Headshot

George Boorman

Analytics and Data Science Curriculum Manager, DataCamp

George is an Analytics and Data Science 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.
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