Pierce County House Sales Data for 2020
Source:R/data-pierce_county_house_sales.R
pierce_county_house_sales.Rd
Real estate sales for Pierce County, WA in 2020.
Format
A data frame with 16814 rows and 19 variables.
- sale_date
Date the legal document (deed) was executed.
- sale_price
Dollar amount recorded for the sale.
- house_square_feet
Sum of the square feet for the building.
- attic_finished_square_feet
Finished living area in the attic.
- basement_square_feet
Total square footage of the basement..
- attached_garage_square_feet
Total square footage of the attached or built in garage(s).
- detached_garage_square_feet
Total detached garage(s) square footage.
- fireplaces
Total count of single, double or PreFab stoves.
- hvac_description
Text description associated with the predominant heating source for the built-as structure i.e. Forced Air, Electric Baseboard, Steam, etc. .
- exterior
Predominant type of construction materials used for the exterior siding on Residential Buildings.
- interior
Predominant type of materials used on the interior walls. i.e. Sheetrock or Paneling.
- stories
Number of floors/building levels above grade. Stories do not include attic or basement areas.
- roof_cover
Material used for the roof. I.e. Composition Shingles, Wood Shake, Concrete Tile, etc.
- year_built
Year the building was built, as stated by the building permit or a historical record.
- bedrooms
Number of bedrooms listed for a residential property.
- bathrooms
Number of baths listed for a residential property. The number is listed as a decimal, i.e. 2.75 = two full and one three-quarter baths. A tub/sink/toilet combination (plus any additional fixtures) is considered 1.0 bath. A shower/sink/toilet combination (plus any additional fixtures) is 0.75 bath. A sink/toilet combination is .5 bath.
- waterfront_type
Describes the type of waterfront the property adjoins or has legal access to.
- view_quality
Assigned to reflect the market appeal of the overall view available from the dwelling or property.
- utility_sewer
Identifies if sewer/septic is installed, available or not available or if the property does not support an on site sewage disposal system.
Examples
library(dplyr)
library(lubridate)
#>
#> Attaching package: ‘lubridate’
#> The following objects are masked from ‘package:base’:
#>
#> date, intersect, setdiff, union
# List house sales frequency and average price grouped by month
pierce_county_house_sales |>
mutate(month_sale = month(sale_date)) |>
group_by(month_sale) |>
summarize(freq = n(), mean_price = mean(sale_price)) |>
arrange(desc(freq))
#> # A tibble: 12 × 3
#> month_sale freq mean_price
#> <dbl> <int> <dbl>
#> 1 10 1743 477112.
#> 2 9 1725 487640.
#> 3 7 1699 470293.
#> 4 8 1663 471328.
#> 5 6 1531 460242.
#> 6 11 1492 479536.
#> 7 12 1429 485101.
#> 8 3 1202 450739.
#> 9 5 1156 430333.
#> 10 4 1096 436553.
#> 11 1 1056 408079.
#> 12 2 1022 428170.
# List house sales frequency and average price group by waterfront type
pierce_county_house_sales |>
group_by(waterfront_type) |>
summarize(freq = n(), mean_price = mean(sale_price)) |>
arrange(desc(mean_price))
#> # A tibble: 5 × 3
#> waterfront_type freq mean_price
#> <chr> <int> <dbl>
#> 1 "WF Salt" 209 1109730.
#> 2 "WF Lake" 225 898376.
#> 3 "WF Stream/Creek" 93 496005.
#> 4 "WF River" 26 447623.
#> 5 "" 16261 446672.