East Bay Housing Prices: Room Shares Vs Apartments
A Tale of Two Cities
@kaggle.thedevastator_east_bay_housing_prices_room_shares_vs_apartment
A Tale of Two Cities
@kaggle.thedevastator_east_bay_housing_prices_room_shares_vs_apartment
By [source]
This dataset contains information on housing prices in the East Bay area of California. It includes data on both room shares and apartments, as well as the square footage, number of bedrooms, and posted date for each listing. With this data, you can compare the average price of a room share to that of an apartment in each neighborhood, and see how housing prices have changed over time
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This dataset contains information on housing prices in the East Bay area of California. The data includes information on the type of housing (room shares vs. apartments), the price, the number of bedrooms, and the square footage.
To use this dataset, you can download it as a CSV file and then use a spreadsheet program to open it
- This dataset can be used to predict housing prices in the East Bay area.
- This dataset can be used to study the trends in housing prices in the East Bay area.
- This dataset can be used to compare the prices of room shares and apartments in the East Bay area
If you use this dataset in your research, please credit the original authors.
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: eb_apts_1642_Jan_2_19_clean.csv
| Column name | Description |
|---|---|
| posted | The date the listing was posted. (Date) |
| neighborhood | The neighborhood the listing is in. (String) |
| post title | The title of the post. (String) |
| number bedrooms | The number of bedrooms in the listing. (Integer) |
| sqft | The square footage of the listing. (Integer) |
| URL | The URL of the listing (String) |
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .
CREATE TABLE eb_apts_1642_jan_2_19_clean (
"posted" TIMESTAMP,
"neighborhood" VARCHAR,
"post_title" VARCHAR,
"number_bedrooms" DOUBLE,
"sqft" DOUBLE,
"url" VARCHAR,
"price" BIGINT
);Anyone who has the link will be able to view this.