Version: | 0.0.4 |
Title: | The Ames Iowa Housing Data |
URL: | https://github.com/topepo/AmesHousing |
BugReports: | https://github.com/topepo/AmesHousing/issues |
Description: | Raw and processed versions of the data from De Cock (2011) http://ww2.amstat.org/publications/jse are included in the package. |
License: | GPL-2 |
Encoding: | UTF-8 |
LazyData: | true |
ByteCompile: | true |
Depends: | R (≥ 2.10) |
Imports: | dplyr, magrittr |
RoxygenNote: | 7.1.0.9000 |
Suggests: | covr |
NeedsCompilation: | no |
Packaged: | 2020-06-23 19:56:43 UTC; max |
Author: | Max Kuhn [aut, cre], Dmytro Perepolkin [ctb], RStudio [cph] |
Maintainer: | Max Kuhn <max@rstudio.com> |
Repository: | CRAN |
Date/Publication: | 2020-06-23 20:10:03 UTC |
Raw Ames Housing Data
Description
Summon the data described by De Cock (2011) where 82 fields were recored for 2,930 properties in Ames IA.
Details
From the data documentation reference, the columns include:
-
Order
: Observation number -
PID
: Parcel identification number - can be used with city web site for parcel review. -
MS SubClass
: Identifies the type of dwelling involved in the sale. -
MS Zoning
: Identifies the general zoning classification of the sale. -
Lot Frontage
: Linear feet of street connected to property -
Lot Area
: Lot size in square feet -
Street
: Type of road access to property -
Alley
: Type of alley access to property -
Lot Shape
: General shape of property -
Land Contour
: Flatness of the property -
Utilities
: Type of utilities available -
Lot Config
: Lot configuration -
Land Slope
: Slope of property -
Neighborhood
: Physical locations within Ames city limits (map available) -
Condition 1
: Proximity to various conditions -
Condition 2
: Proximity to various conditions (if more than one is present) -
Bldg Type
: Type of dwelling -
House Style
: Style of dwelling -
Overall Qual
: Rates the overall material and finish of the house -
Overall Cond
: Rates the overall condition of the house -
Year Built
: Original construction date -
Year Remod/Add
: Remodel date (same as construction date if no remodeling or additions) -
Roof Style
: Type of roof -
Roof Matl
: Roof material -
Exterior 1
: Exterior covering on house -
Exterior 2
: Exterior covering on house (if more than one material) -
Mas Vnr Type
: Masonry veneer type -
Mas Vnr Area
: Masonry veneer area in square feet -
Exter Qual
: Evaluates the quality of the material on the exterior -
Exter Cond
: Evaluates the present condition of the material on the exterior -
Foundation
: Type of foundation -
Bsmt Qual
: Evaluates the height of the basement -
Bsmt Cond
: Evaluates the general condition of the basement -
Bsmt Exposure
: Refers to walkout or garden level walls -
BsmtFin Type 1
: Rating of basement finished area -
BsmtFin SF 1
: Type 1 finished square feet -
BsmtFinType 2
: Rating of basement finished area (if multiple types) -
BsmtFin SF 2
: Type 2 finished square feet -
Bsmt Unf SF
: Unfinished square feet of basement area -
Total Bsmt SF
: Total square feet of basement area -
Heating
: Type of heating -
HeatingQC
: Heating quality and condition -
Central Air
: Central air conditioning -
Electrical
: Electrical system -
1st Flr SF
: First Floor square feet -
2nd Flr SF
: Second floor square feet -
Low Qual Fin SF
: Low quality finished square feet (all floors) -
Gr Liv Area
: Above grade (ground) living area square feet -
Bsmt Full Bath
: Basement full bathrooms -
Bsmt Half Bath
: Basement half bathrooms -
Full Bath
: Full bathrooms above grade -
Half Bath
: Half baths above grade -
Bedroom
: Bedrooms above grade (does NOT include basement bedrooms) -
Kitchen
: Kitchens above grade -
KitchenQual
: Kitchen quality -
TotRmsAbvGrd
: Total rooms above grade (does not include bathrooms) -
Functional
: Home functionality (Assume typical unless deductions are warranted) -
Fireplaces
: Number of fireplaces -
FireplaceQu
: Fireplace quality -
Garage Type
: Garage location -
Garage Yr Blt
: Year garage was built -
Garage Finish
: Interior finish of the garage -
Garage Cars
: Size of garage in car capacity -
Garage Area
: Size of garage in square feet -
Garage Qual
: Garage quality -
Garage Cond
: Garage condition -
Paved Drive
: Paved driveway -
Wood Deck SF
: Wood deck area in square feet -
Open Porch SF
: Open porch area in square feet -
Enclosed Porch
: Enclosed porch area in square feet -
3-Ssn Porch
: Three season porch area in square feet -
Screen Porch
: Screen porch area in square feet -
Pool Area
: Pool area in square feet -
Pool QC
: Pool quality -
Fence
: Fence quality -
Misc Feature
: Miscellaneous feature not covered in other categories -
Misc Val
: $Value of miscellaneous feature -
Mo Sold
: Month Sold -
Yr Sold
: Year Sold -
Sale Type
: Type of sale -
Sale Condition
: Condition of sale
Value
ames_raw |
a tibble |
Source
De Cock, D. (2011). "Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project," Journal of Statistics Education, Volume 19, Number 3.
https://ww2.amstat.org/publications/jse/v19n3/decock/DataDocumentation.txt
http://ww2.amstat.org/publications/jse/v19n3/decock.pdf
Ames Public Schools
Description
Locations of local schools and outline of elementary school districts.
Elementary school district boundaries are returned as sf
object in CRS 4326
Details
The data set includes the school name and the geocodes.
Value
ames_schools_geo |
a tibble |
Create a Processed Version of the Ames Housing Data
Description
Create a Processed Version of the Ames Housing Data
Usage
make_ames()
make_ames_new()
make_ordinal_ames()
Details
For the processed version, the exact details can be found in
the code of make_ames
but a summary of the differences between
these data sets and ames_raw
is:
All factors are unordered.
-
PID
andOrder
are removed. Spaces and special characters in column names where changed to snake case. To be consistent,
SalePrice
was changed toSale_Price
.Many factor levels were changed to be more understandable (e.g.
Split_or_Multilevel
instead of080
)Many missing values were reset. For example, if the variable
Bsmt_Qual
was missing, this implies that there is no basement on the property. Instead of a missing value, the value ofBsmt_Qual
was changed toNo_Basement
. Similarly, numeric data pertaining to basements were set to zero where appropriate such as variablesBsmt_Full_Bath
andTotal_Bsmt_SF
.-
Garage_Yr_Blt
contained many missing data and was removed. Approximate longitude and latitude are included for the properties. Also, note that there are 6 properties with identical geotags. These are units within the same building. For some properties, updated versions of the PID identifiers were found and are replaced with new values.
make_ordinal_ames
is the same as make_ames
but many factor
variables were changed to class ordered
(see below).
The documentation for ames_raw()
contains descriptions of
the columns although, as noted above, the column names in
ames_raw()
are slightly different from the processed
versions.
make_ames_new()
creates a data set of new properties. These were populated
using less data sources than the original and lack a number of the condition
and quality. Both properties were unsold at the time of this writing.
Value
A tibble with the data.
Examples
ames <- make_ames()
nrow(ames)
summary(ames$Sale_Price)
ames_ord <- make_ordinal_ames()
ord_vars <- vapply(ames_ord, is.ordered, logical(1))
names(ord_vars)[ord_vars]
Objects exported from other packages
Description
These objects are imported from other packages. Follow the links below to see their documentation.
- magrittr