Ames Housing Price data.

Description

A dataset of 2048 houses in Ames, Iowa from 2006 to 2010, with 56 features including the sale date and price.

Usage

ahp

Format

A data frame with variables:

dt_sold

Date Sold

yr_sold

Year Sold

mo_sold

Month Sold

yr_built

Original construction date

yr_remodel

Remodel date (same as construction date if no remodeling or additions)

bldg_class

The building class

• 20: 1-STORY 1946 & NEWER ALL STYLES

• 30: 1-STORY 1945 & OLDER

• 40: 1-STORY W/FINISHED ATTIC ALL AGES

• 45: 1-1/2 STORY - UNFINISHED ALL AGES

• 50: 1-1/2 STORY FINISHED ALL AGES

• 60: 2-STORY 1946 & NEWER

• 70: 2-STORY 1945 & OLDER

• 75: 2-1/2 STORY ALL AGES

• 80: SPLIT OR MULTI-LEVEL

• 85: SPLIT FOYER

• 90: DUPLEX - ALL STYLES AND AGES

• 120: 1-STORY PUD (Planned Unit Development) - 1946 & NEWER

• 150: 1-1/2 STORY PUD - ALL AGES

• 160: 2-STORY PUD - 1946 & NEWER

• 180: PUD - MULTILEVEL - INCL SPLIT LEV/FOYER

• 190: 2 FAMILY CONVERSION - ALL STYLES AND AGES

bldg_type

Type of dwelling

• 1Fam: Single-family Detached

• 2FmCon: Two-family Conversion; originally built as one-family dwelling

• Duplx: Duplex

• TwnhsE: Townhouse End Unit

• TwnhsI: Townhouse Inside Unit

house_style

Style of dwelling

• 1Story: One story

• 1.5Fin: One and one-half story: 2nd level finished

• 1.5Unf: One and one-half story: 2nd level unfinished

• 2Story: Two story

• 2.5Fin: Two and one-half story: 2nd level finished

• 2.5Unf: Two and one-half story: 2nd level unfinished

• SFoyer: Split Foyer

• SLvl: Split Level

zoning

Identifies the general zoning classification of the sale

• A: Agriculture

• C: Commercial

• FV: Floating Village Residential

• I: Industrial

• RH: Residential High Density

• RL: Residential Low Density

• RP: Residential Low Density Park

• RM: Residential Medium Density

neighborhd

Physical locations within Ames city limits

• Blmngtn: Bloomington Heights

• Blueste: Bluestem

• BrDale: Briardale

• BrkSide: Brookside

• ClearCr: Clear Creek

• CollgCr: College Creek

• Crawfor: Crawford

• Edwards: Edwards

• Gilbert: Gilbert

• IDOTRR: Iowa DOT and Rail Road

• MeadowV: Meadow Village

• Mitchel: Mitchell

• Names: North Ames

• NoRidge: Northridge

• NPkVill: Northpark Villa

• NridgHt: Northridge Heights

• NWAmes: Northwest Ames

• OldTown: Old Town

• SWISU: South & West of Iowa State University

• Sawyer: Sawyer

• SawyerW: SawyerW

• Somerst: Somerset

• StoneBr: Stone Brook

• Timber: Timberland

• Veenker: Veenker

oa_cond

Overall condition rating

• 10: Very Excellent

• 9: Excellent

• 8: Very Good

• 7: Good

• 6: Above Average

• 5: Average

• 4: Below Average

• 3: Fair

• 2: Poor

• 1: Very Poor

oa_qual

Overall material and finish quality

• 10: Very Excellent

• 9: Excellent

• 8: Very Good

• 7: Good

• 6: Above Average

• 5: Average

• 4: Below Average

• 3: Fair

• 2: Poor

• 1: Very Poor

func

Home functionality rating

• Typ: Typical Functionality

• Min1: Minor Deductions 1

• Min2Minor Deductions 2

• Mod: Moderate Deductions

• Maj1: Major Deductions 1

• Maj2: Major Deductions 2

• Sev: Severely Damaged

• Sal: Salvage only

liv_area

living area square feet

1fl_area

First Floor square feet

2fl_area

Second floor square feet

tot_rms

Total rooms

bedroom

Number of bedrooms

bathroom

Number of bathrooms

kit

Number of kitchens

kit_qual

Kitchen quality

central_air

Central air conditioning

• N: No

• Y: Yes

elect

Electrical system

• SBrkr: Standard Circuit Breakers & Romex

• FuseA: Fuse Box over 60 AMP and all Romex wiring (Average)

• FuseF: 60 AMP Fuse Box and mostly Romex wiring (Fair)

• FuseP: 60 AMP Fuse Box and mostly knob & tube wiring (poor)

• Mix: Mixed

bsmt_area

Total square feet of basement area

bsmt_cond

General condition of the basement

bsmt_exp

Walkout or garden level basement walls

• Gd: Good Exposure

• Av: Average Exposure (split levels or foyers typically score average or above)

• Mn: Mimimum Exposure

• No: No Exposure

• NA: No Basement

bsmt_ht

Height of the basement

• Excellent: 100+ inches

• Good: 90-99 inches

• Average: 80-89 inches

• Fair: 70-79 inches

• Poor: <70 inches

• NA: No Basement

bsmt_fin_qual

Quality of basement finished area

• GLQ: Good Living Quarters

• ALQ: Average Living Quarters

• BLQ: Below Average Living Quarters

• Rec: Average Rec Room

• LwQ: Low Quality

• Unf: Unfinshed

• NA: No Basement

ext_cond

Present condition of the material on the exterior

ext_cover

Exterior covering on house

• AsbShng: Asbestos Shingles

• AsphShn: Asphalt Shingles

• BrkComm: Brick Common

• BrkFace: Brick Face

• CBlock: Cinder Block

• CemntBd: Cement Board

• HdBoard: Hard Board

• ImStucc: Imitation Stucco

• MetalSd: Metal Siding

• Other: Other

• Plywood: Plywood

• PreCast: PreCast

• Stone: Stone

• Stucco: Stucco

• VinylSd: Vinyl Siding

• Wd Sdng: Wood Siding

• WdShing: Wood Shingles

ext_qual

Exterior material quality

fdn

Type of foundation

• BrkTil: Brick & Tile

• CBlock: Cinder Block

• PConc: Poured Contrete

• Slab: Slab

• Stone: Stone

• Wood: Wood

fence

Fence quality

• GdPrv: Good Privacy

• MnPrv: Minimum Privacy

• GdWo: Good Wood

• MnWw: Minimum Wood/Wire

• NA: No Fence

fp

Number of fireplaces

fp_qual

Fireplace quality

gar_area

Size of garage in square feet

gar_car

Size of garage in car capacity

gar_cond

Garage condition

gar_fin

Interior finish of the garage

• Fin: Finished

• RFn: Rough Finished

• Unf: Unfinished

• NA: No Garage

gar_qual

Garage quality

gar_type

Garage location

• 2Types: More than one type of garage

• Attchd: Attached to home

• Basment: Basement Garage

• BuiltIn: Built-In (Garage part of house - typically has room above garage)

• CarPort: Car Port

• Detchd: Detached from home

• NA: No Garage

gar_yr

Year garage was built

heat_qual

Heating quality and condition

land_contour

Flatness of the property

• Lvl: Near Flat/Level

• Bnk: Banked - Quick and significant rise from street grade to building

• HLS: Hillside - Significant slope from side to side

• Low: Depression

land_slope

Slope of property

• Gtl: Gentle slope

• Mod: Moderate Slope

• Sev: Severe Slope

lot_area

Lot size in square feet

lot_config

Lot configuration

• Inside: Inside lot

• Corner: Corner lot

• CulDSac: Cul-de-sac

• FR2: Frontage on 2 sides of property

• FR3: Frontage on 3 sides of property

lot_frontage

Linear feet of street connected to property

lot_shape

General shape of lot

• Reg: Regular

• IR1: Slightly irregular

• IR2: Moderately Irregular

• IR3: Irregular

pave_dr

Paved driveway

• Y: Paved

• P: Partial Pavement

• N: Dirt/Gravel

roof_matl

Roof material

• ClyTile: Clay or Tile

• CompShg: Standard (Composite) Shingle

• Membran: Membrane

• Metal: Metal

• Roll: Roll

• Tar&Grv: Gravel & Tar

• WdShake: Wood Shakes

• WdShngl: Wood Shingles

roof_style

Type of roof

• Flat: Flat

• Gable: Gable

• Gambrel: Gabrel (Barn)

• Hip: Hip

• Mansard: Mansard

• Shed: Shed

op_area

Open porch area in square feet

ep_area

Enclosed porch area in square feet

wd_area

Wood deck area in square feet

sale_price

The property's sale price in thousand dollars

Source

The original data comes from https://www.kaggle.com/c/house-prices-advanced-regression-techniques. Some data cleaning were applied.

Gapminder Global Health Data.

Description

A dataset of 239 countries worldwide with 33 sociodemographic and public health features, some of which are the same variable but measured in dichotomized genders.

Usage

gm

Format

A data frame with variables:

country

Country

year

the year of 2004

smoking_female

Percentage of female (over age 15) that smoke

smoking_male

Percentage of male (over age 15) that smoke

lungcancer_newcases_female

Number of new female cases of lung cancer in 100,000 residents, adjusting each country's age composition to the world population. Unit: person per 100,000 people

lungcancer_newcases_male

Number of new male cases of lung cancer in 100,000 residents, adjusting each country's age composition to the world population. Unit: person per 100,000 people

owid_edu_idx

OWID Education Index: Education index calculated based on Avg years of schooling, taking values 0 as minimum and 15 as maximum.

food_supply

Calories measures the energy content of the food. The required intake varies, but it is normally in the range of 1500-3000 kilocalories per day. Unit: kilocalories per person and day

average_daily_income

This is the average daily household per capita income or consumption expenditure from the survey expressed in 2011 PPP. Unit: $1,000

sanitation

The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households.

child_mortality

Death of children under five years of age per 1,000 live births. Unit: per 1000 live births

income_per_person

Gross domestic product per person adjusted for differences in purchasing power (in international $, fixed 2017 prices, PPP based on 2017 ICP). Unit: $1,000

HDI

Human Development Index. An index used to rank countries by the level of "human development" from three dimensions: health level, educational level, and living standard.

alcohol_male

Total alcohol consumption per capita, male, liters of pure alcohol, 15+ years of age.

alcohol_female

Total alcohol consumption per capita, female, liters of pure alcohol, 15+ years of age.

livercancer_newcases_male

Number of new male cases of liver cancer in 100,000 residents, adjusting each country's age composition to the world population. Unit: person per 100,000 people.

livercancer_newcases_female

Number of new female cases of liver cancer in 100,000 residents, adjusting each country's age composition to the world population. Unit: person per 100,000 people.

mortality_male

Mortality rate, adult, male (per 1,000 male adults).

mortality_female

Mortality rate, adult, female (per 1,000 female adults).

cholesterol_fat_in_blood_male

The mean TC (Total Cholesterol) of the male population, counted in mmol per L.

cholesterol_fat_in_blood_female

The mean TC (Total Cholesterol) of the female population, counted in mmol per L.

continent

The continent that a country is part of

• Africa

• Americas

• Asia

• Europe

• Oceania

region

Sub specification of the region that a country belongs to

population

Total population of each country in 2004. Unit: 1,000 people

life_expectancy

The average number of years a newborn child would live if current mortality patterns were to stay the same. Unit: year

sugar

The quantity of food consumption of sugar and sweeteners per person. Unit: grams per person and day

BMI_female

The mean BMI (Body Mass Index) of the female population; this mean is calculated as if each country has the same age composition as the world population. Unit: Kilogram per square meter

BMI_female_group

Group according to BMI_female

• under_weight: < 18.5

• normal_weight: 18.5 - 24.9

• pre_obesity: 25.0 - 29.9

• obesity_class_I: 30.0 - 34.9

• obesity_class_II: 35.0 - 39.9

BMI_male

The mean BMI (Body Mass Index) of the male population; this mean is calculated as if each country has the same age composition as the world population. Unit: Kilogram per square meter

BMI_male_group

Group according to BMI_male

• under_weight: < 18.5

• normal_weight: 18.5 - 24.9

• pre_obesity: 25.0 - 29.9

• obesity_class_I: 30.0 - 34.9

• obesity_class_II: 35.0 - 39.9

health_spending

The sum of public and private health expenditure as a percentage of GDP. Unit: percent

GDP_per_capita

Inflation-adjusted gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Unit: $1,000

HDI_category

Human Development Index categories

• Very high: HDI above 0.800

• High: HDI between 0.700 and 0.799

• Medium: HDI between 0.550–0.699

• Low: HDI below 0.549

Source

The original data comes from https://www.gapminder.org/data/. Some data cleaning was applied.

Gapminder Global Health Data in year 2004.

Description

A dataset of 236 countries worldwide with 23 sociodemographic and public health features, some of which are the same variable but measured in dichotomized genders.

Usage

gm2004

Format

A data frame with variables:

country

Country

year

the year of 2004

gender

Gender

continent

The continent that a country is part of

• Africa

• Americas

• Asia

• Europe

• Oceania

region

Sub specification of region that a contry belongs to

population

Total population of each country in 2004. Unit: 1,000 people

BMI

The mean BMI (Body Mass Index) of the whole population; this mean is calculated as if each country has the same age composition as the world population. Unit: Kilogram per square meter

livercancer_newcases

Number of new cases of liver cancer in 100,000 residents in 2004, adjusting each country's age composition to the world population. Unit: person per 100,000 people

lungcancer_newcases

Number of new cases of lung cancer in 100,000 residents in 2004, adjusting each country's age composition to the world population. Unit: person per 100,000 people

cholesterol

Mean TC (Total Cholesterol) of the whole population, adjusting each country's age composition to the world population. Unit: mmol/L (Millimoles per liter)

life_expectancy

The average number of years a newborn child would live if current mortality patterns were to stay the same. Unit: year

sugar

The quantity of good consumption of sugar and sweeteners per person. Unit: grams per person and day

health_spending

The sum of public and private health expenditure as a percentage of GDP. Unit: percent

GDP_per_capita

Inflation-adjusted gross domestic product divided by midyear population. GDP is the sum of gross value added by all residents producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degredation of natural resources. Unit: $1,000

HDI

Human Development Index. An index used to rank countries by level of "human development" from three dimensions: health level, educational level, and living standard.

HDI_category

Human Development Index categories

• Very high: HDI above 0.800

• High: HDI between 0.700 and 0.799

• Medium: HDI between 0.550–0.699

• Low: HDI below 0.549

smoking

Percentage of both men and women (over age 15) that smoke

food_supply

Caloreis measures the energy content of the food. The required intake varies, but it is normally in the range of 1500- 3000 kilocalories per day. Unit: kilocalories per person and day

owid_edu_idx

OWID Education Index: Education index calculated based on Avg years of schooling, taking values 0 as minimum and 15 as maximum.

average_daily_income

This is the average daily household per capita income or consumption expenditure from the survey expressed in 2011 PPP. Unit: $1,000

income_per_person

Gross domestic product per person adjusted for differences in purchasing pwoer (in international $, fixed 2017 prices, PPP based on 2017 ICP). Unit: $1,000

sanitation

The percentage of people using at least basic sanitation services, that is, improved sanitation faciliteis that are not hsared with other households.

child_mortality

Death of children under five years of age per 1,000 live births. Unit: per 1000 live births

Source

The original data comes from https://www.gapminder.org/data/. Some data cleaning were applied.

Do the interactive exercises

Description

This function provides interactive exercises for each lesson corresponding to each subsection of the book "R Programming: Zero to Pro"

Usage

r02pro(id)

Arguments

Value

This function is an interactive exercise. Hence, no value returned.

Examples

#Do the exercise for Section 1.1
## Not run: r02pro(1.1)

Small Version of Ames Housing Price data.

Description

The small version of Ames Housing Price data of 165 observations, with 12 features including the sale date and price.

Usage

sahp

Format

A data frame with 165 observations and 12 features:

dt_sold

Date Sold

bedroom

Number of bedrooms

bathroom

Number of bathrooms

gar_car

Size of garage in car capacity

oa_qual

Overall material and finish quality

• 10: Very Excellent

• 9: Excellent

• 8: Very Good

• 7: Good

• 6: Above Average

• 5: Average

• 4: Below Average

• 3: Fair

• 2: Poor

• 1: Very Poor

liv_area

living area square feet

lot_area

Lot size in square feet

house_style

Style of dwelling

• 1Story: One story

• 1.5Fin: One and one-half story: 2nd level finished

• 1.5Unf: One and one-half story: 2nd level unfinished

• 2Story: Two story

• 2.5Fin: Two and one-half story: 2nd level finished

• 2.5Unf: Two and one-half story: 2nd level unfinished

• SFoyer: Split Foyer

• SLvl: Split Level

kit_qual

Kitchen quality

heat_qual

Heating quality and condition

central_air

Central air conditioning

• N: No

• Y: Yes

sale_price

The property's sale price in thousand dollars

Source

The original data comes from https://www.kaggle.com/c/house-prices-advanced-regression-techniques. Some data cleaning were applied.