# realty\_source\_2

## ℹ️ Dataset info

Description: `Data feed with information about real estate prices.`

Labels: `owner: upgini`  `dataset_type: public`  `dataset_source: realty`  

Search keys: `POSTAL_CODE`  `COUNTRY`  

Row count: `27,341`

## ℹ️ Features info:

### f\_location\_country\_postal\_price\_avg\_92d081c1

`Datatype`: `FLOAT` `Description`: `Average price of real estate object in the postal code area`

### f\_location\_country\_postal\_realty\_price\_single\_1df1658b

`Datatype`: `FLOAT` `Description`: `Average price of real estate object with type SINGLE in the postal code area`

### f\_location\_country\_postal\_realty\_price\_condo\_ac8675a3

`Datatype`: `FLOAT` `Description`: `Average price of real estate object with type CONDO in the postal code area`

### f\_location\_country\_postal\_realty\_price\_1bedroom\_d35b6a53

`Datatype`: `FLOAT` `Description`: `Average price of real estate object with type 1 BEDROOM in the postal code area`

### f\_location\_country\_postal\_realty\_price\_2bedrooms\_6113dde3

`Datatype`: `FLOAT` `Description`: `Average price of real estate object with type 2 BEDROOMS in the postal code area`

### f\_location\_country\_postal\_realty\_price\_3bedrooms\_5c0670db

`Datatype`: `FLOAT` `Description`: `Average price of real estate object with type 3 BEDROOMS in the postal code area`

### f\_location\_country\_postal\_realty\_price\_4bedrooms\_f6d3977b

`Datatype`: `FLOAT` `Description`: `Average price of real estate object with type 4 BEDROOMS in the postal code area`

### f\_location\_country\_postal\_realty\_price\_5bedrooms\_d44969e8

`Datatype`: `FLOAT` `Description`: `Average price of real estate object with type 5 BEDROOMS in the postal code area`

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