bis557: Brian's BIS 557 Work

#' Linear Regression with 2 Predictors
#'
#' A linear regression dataset - 2 observations using 2 predictors
#' Note: This "system" of equations is very ill-conditioned (high condition #).
#'
#' @format A data frame with 2 rows and 3 variables:
#' \describe{
#'   \item{y}{response variable}
#'   \item{x1}{independent variable 1}
#'   \item{x2}{independent variable 2}
#' }
"lm_patho"

#' Final Project Dataset - Boston 2020 Property Assessment and Taxes
#'
#' This dataset is from **Analyze Boston**, a website that provides Boston's
#' open-source data. This dataset shows ownership information of Boston's
#' real estate properties (residential, commercial, industrial, etc.). For each
#' property, the assessed land value, the assessed building value, the
#' **total assessed value**, and the **annual property tax** is shown. Property
#' characteristics, such as the property living/lot size, year built, building
#' architecture style, and the total number of rooms, are shown.
#'
#' @format A data frame with 175072 rows and 75 variables:
#' \describe{
#'   \item{PID}{Unique 10-digit parcel number}
#'   \item{CM_ID}{10-digit parcel number of main condo building}
#'   \item{GIS_ID}{Similar to PID}
#'   \item{ST_NUM}{Property street number}
#'   \item{ST_NAME}{Property street name}
#'   \item{ST_NAME_SUF}{Property street name suffix}
#'   \item{UNIT_NUM}{Condo or apartment number}
#'   \item{ZIPCODE}{Property zipcode}
#'   \item{PTYPE}{State class code}
#'   \item{LU}{Type of property}
#'   \item{OWN_OCC}{Residential exemption of owner-occupied property}
#'   \item{OWNER}{Property primary owner name}
#'   \item{MAIL_ADDRESSEE}{Care of recipient}
#'   \item{MAIL_ADDRESS}{Owner Mailing address street name}
#'   \item{MAIL.CS}{Owner Mailing address city and state}
#'   \item{MAIL_ZIPCODE}{Owner Mailing address zipcode}
#'   \item{AV_LAND}{Total assessed land value}
#'   \item{AV_BLDG}{Total assessed building value}
#'   \item{AV_TOTAL}{Total assessed property value}
#'   \item{GROSS_TAX}{Property tax amount}
#'   \item{LAND_SF}{Parcel's land area - sq ft}
#'   \item{YR_BUILT}{Property - Year Built}
#'   \item{YR_REMOD}{Property - Year Last Remodeled}
#'   \item{GROSS_AREA}{Gross floor area}
#'   \item{LIVING_AREA}{Living area - sq ft}
#'   \item{NUM_FLOORS}{Property number of floors}
#'   \item{STRUCTURE_CLASS}{Structural classification - commercial}
#'   \item{R_BLDG_STYL}{Residential building style}
#'   \item{R_ROOF_TYP}{Residential roof type}
#'   \item{R_EXT_FIN}{Residential exterior finish}
#'   \item{R_TOTAL_RMS}{Residential total number of rooms}
#'   \item{R_BDRMS}{Residential number of bedrooms}
#'   \item{R_FULL_BTH}{Residential number of full baths}
#'   \item{R_HALF_BTH}{Residential number of half baths}
#'   \item{R_BTH_STYLE}{Residential bath 1 style}
#'   \item{R_BTH_STYLE2}{Residential bath 2 style}
#'   \item{R_BTH_STYLE3}{Residential bath 3 style}
#'   \item{R_KITCH}{Residential number of kitchens}
#'   \item{R_KITCH_STYLE}{Residential kitchen 1 style}
#'   \item{R_KITCH_STYLE2}{Residential kitchen 2 style}
#'   \item{R_KITCH_STYLE3}{Residential kitchen 3 style}
#'   \item{R_HEAT_TYP}{Residential heat type}
#'   \item{R_AC}{Residential AC existence}
#'   \item{R_FPLACE}{Residential number of fireplaces}
#'   \item{R_EXT_CND}{Residential exterior condition}
#'   \item{R_OVRALL_CND}{Residential overall condition}
#'   \item{R_INT_CND}{Residential interior condition}
#'   \item{R_INT_FIN}{Residential interior finish}
#'   \item{R_VIEW}{Residential view}
#'   \item{S_NUM_BLDG}{Condo main number of buildings}
#'   \item{S_BLDG_STYL}{Condo main building style}
#'   \item{S_UNIT_RES}{Condo main number of residential units}
#'   \item{S_UNIT_COM}{Condo main number of commercial units}
#'   \item{S_UNIT_RC}{Condo main number of mixed use units}
#'   \item{S_EXT_FIN}{Condo main exterior finish}
#'   \item{S_EXT_CND}{Condo main exterior condition}
#'   \item{U_BASE_FLOOR}{Condo unit - base floor}
#'   \item{U_NUM_PARK}{Condo unit - number of parking spaces}
#'   \item{U_CORNER}{Condo unit - corner of building? - logical}
#'   \item{U_ORIENT}{Condo unit - orientation within building}
#'   \item{U_TOT_RMS}{Condo unit - total number of rooms}
#'   \item{U_BDRMS}{Condo unit - number of bedrooms}
#'   \item{U_FULL_BTH}{Condo unit - number of full baths}
#'   \item{U_HALF_BTH}{Condo unit - number of half baths}
#'   \item{U_BTH_STYLE}{Condo unit bath 1 style}
#'   \item{U_BTH_STYLE2}{Condo unit bath 2 style}
#'   \item{U_BTH_STYLE3}{Condo unit bath 3 style}
#'   \item{U_KITCH_TYPE}{Condo unit type of kitchen}
#'   \item{U_KITCH_STYLE}{Condo unit kitchen style}
#'   \item{U_HEAT_TYP}{Condo unit heat type}
#'   \item{U_AC}{Condo unit AC existence}
#'   \item{U_FPLACE}{Condo unit number of fireplaces}
#'   \item{U_INT_FIN}{Condo unit interior finish}
#'   \item{U_INT_CND}{Condo unit interior condition}
#'   \item{U_VIEW}{Condo unit view}
#' }
#' @source \url{https://data.boston.gov/dataset/property-assessment}
#' @source \url{https://data.boston.gov/dataset/property-assessment/resource/bac18ae6-b8fd-4cd3-a61c-c5e1a11f716c}
#' @source \url{https://data.boston.gov/dataset/property-assessment/resource/8de4e3a0-c1d2-47cb-8202-98b9cbe3bd04}
"final_data_bos"

#' Final Project Dataset - Zipcode Distance from Downtown Boston
#'
#' This dataset has been created by myself, where I used Google Maps and its
#' ruler to measure the straight distance "as the crow flies" from the zipcode
#' to either Downtown Boston, Back Bay, or Cambridge (most expensive real
#' estate and most lucrative economic sectors), and choose the one with the
#' minimum distance. The intervals are every 2 miles.
#'
#' @format A data frame with 30 rows and 2 variables:
#' \describe{
#'   \item{ZIPCODE}{Boston zipcodes}
#'   \item{DIST_FROM_DT}{Distance from zipcode to DT Boston, in miles}
#' }
"bos_zip_dist"