Dark Mode
New York Rental Market Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
A mock collection of rental properties located in New York, designed for those new to data analysis. It encompasses crucial details such as geographical coordinates (latitude and longitude), neighbourhood names, various room types, pricing information, and metrics related to property occupancy. It serves as an excellent resource for individuals wishing to develop and practise their data analytics skills.
Columns
- F1: A key value, ranging from 0.00 to 35596.00, with a mean of 18.5k and standard deviation of 11k. This column contains 17.6k valid entries.
- id: A unique identifier for each property, ranging from 2595 to 30.6m, with a mean of 15.7m and standard deviation of 9.64m. This column has 17.6k valid entries.
- neighbourhood: The name of the neighbourhood where the property is located. Brooklyn accounts for 22%, Manhattan 18%, and other areas 60%. There are 186 unique neighbourhood names.
- latitude: The geographical latitude coordinate of the property. Values range from 40.5 to 40.9, with a mean of 40.7 and standard deviation of 0.06.
- longitude: The geographical longitude coordinate of the property. Values range from -74.2 to -73.7, with a mean of -73.9 and standard deviation of 0.05.
- room_type: Categorisation of the room type available, with 'Entire home/apt' making up 53%, 'Private room' 44%, and 'Other' 3%. There are 4 unique room types.
- price: The price of the rental property in US dollars. Prices range from 0 to 9999, with a mean of 145 and standard deviation of 195.
- days_occupied_in_2019: An indicator of the number of days the property was occupied in 2019. Values range from 0 to 364, with a mean of 180 and standard deviation of 130.
- minimum_nights: The minimum number of nights required for a booking. Values range from 1 to 1125, with a mean of 7.39 and standard deviation of 19.2.
- number_of_reviews: The total count of reviews received for the property. Values range from 1 to 675, with a mean of 56.1 and standard deviation of 66.
- reviews_per_month: The average number of reviews received per month. Values range from 0.01 to 19.3, with a mean of 1.61 and standard deviation of 1.64.
- availability_2020: The number of days the property was available in 2020. Values range from 0 to 365, with a mean of 154 and standard deviation of 138.
Distribution
The dataset is provided as a CSV file, specifically named
NY Realstate Pricing.csv, with a file size of 1.41 MB. It contains 12 columns and consists of 17.6 thousand records. Data types primarily include numerical values for pricing, geographical coordinates, and occupancy metrics, alongside categorical data for neighbourhood names and room types.Usage
This dataset is ideally suited for various data analysis tasks. It can be used for data visualisation to explore trends in rental pricing and availability, for exploratory data analysis to uncover patterns and relationships between property attributes, and for data storytelling to communicate insights about the New York rental market. It is particularly valuable for beginners looking to enhance their analytical proficiencies.
Coverage
The dataset's geographic scope is focused on New York (NY), encompassing various neighbourhoods within the state. The time range for occupancy and availability data spans 2019 and 2020. No specific demographic scope is provided within the dataset.
License
CC0: Public Domain
Who Can Use It
This dataset is primarily intended for beginners in data analytics. It provides a straightforward yet insightful resource for:
- Students and Novices: To practise fundamental data analysis techniques such as cleaning, exploration, and visualisation.
- Aspiring Data Scientists: To build a portfolio by working on a real-world, albeit mock, dataset.
- Educators: As a teaching tool for introducing concepts related to real estate data and geographical analysis.
Dataset Name Suggestions
- New York Rental Market Data
- NY Property Pricing Insights
- NYC Rental Data for Analytics
- Beginner's NY Rental Dataset
- New York Real Estate Prices
Attributes
Original Data Source: New York Rental Market Data
QUALITY