In this project, you'll apply your data importing and cleaning skills from the [Importing and Cleaning Data with R skill track](https://learn.datacamp.com/skill-tracks/importing-cleaning-data-with-r) to uncover insights about the Airbnb market in New York City. Using tidyverse packages like readr and readxl, you'll import data into R from multiple file types and combine them to answer questions about the Airbnb market in New York. You'll also use your string cleaning and date manipulation skills to extract accurate information from the dataset. 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.
- 1Airbnb listings in New York City
Curriculum Manager at DataCamp
Maggie is a Curriculum Manager at DataCamp. She holds a Bachelor's degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statistics as a tutor and teaching assistant. She's passionate about teaching all things data-related and making programming accessible to everyone.