## # A tibble: 1,342 × 20
## Area Sold …¹ Sold Dat…² Class Region Sold …³ Appro…⁴ Floor…⁵ Lot S…⁶ Sub-A…⁷
## <chr> <dbl> <date> <chr> <chr> <dbl> <chr> <chr> <chr> <chr>
## 1 Whis… 118000 2021-06-01 Resi… Great… 199. 2008 592 0.00 Whistl…
## 2 Whis… 147000 2021-06-01 Resi… Great… 247. 2008 596 0.00 Whistl…
## 3 Nort… 355000 2021-06-01 Resi… Great… 540. 1977 658 0.00 Centra…
## 4 Tsaw… 399900 2021-06-01 Resi… Great… 752. 2021 532 0.00 Tsawwa…
## 5 New … 405000 2021-06-01 Resi… Great… 451 1976 898 0.00 Uptown…
## 6 Rich… 417000 2021-06-01 Resi… Great… 746. 2003 559 0.00 McLenn…
## 7 Burn… 425000 2021-06-01 Resi… Great… 505. 1980 842 0.00 Cariboo
## 8 Coqu… 460000 2021-06-01 Resi… Great… 646. 1996 712 0.00 Canyon…
## 9 Vanc… 465000 2021-06-01 Resi… Great… 977. 2009 476 0.00 Fairvi…
## 10 Port… 475000 2021-06-01 Resi… Great… 496. 1992 958 0.00 Centra…
## # … with 1,332 more rows, 10 more variables: `Type of Dwelling` <chr>,
## # Occupancy...137 <chr>, Occupancy...138 <chr>, Age <chr>,
## # `HotSheet Date` <date>, Month <chr>, Year <chr>, median_sp <dbl>,
## # mean_sp <dbl>, datechar <chr>, and abbreviated variable names
## # ¹`Sold Price`, ²`Sold Date`, ³`Sold Price Per SQFT`, ⁴`Approx. Year Built`,
## # ⁵`Floor Area Fin - Total`, ⁶`Lot Sz (Sq.Ft.)`, ⁷`Sub-Area/Community`