Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing
Choice Voucher program, to determine initial renewal rents for some expiring project-based Section8
contracts, to determine initial rents for housing assistance payment (HAP) contracts in the
Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling
in the HOME rental assistance program. The U.S. Department of Housing and Urban Development (HUD)
annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas.
By law the final FMRs for use in any fiscal year must be published and available for use at the start
of that fiscal year, on October 1.
require(ggplot2)
## Loading required package: ggplot2
library(maps)
data(county.fips)
require(mapproj)
## Loading required package: mapproj
1. Choose and load any R dataset (except for diamonds!) that has at least two numeric
variables and at least two categorical variables. Identify which variables in your data
set are numeric, and which are categorical (factors).
## 'data.frame': 4769 obs. of 12 variables:
## $ fips2000 : num 1.00e+08 1.00e+08 1.01e+08 1.01e+08 1.01e+08 ...
## $ fips2010 : num 1001 1003 1005 1007 1009 ...
## $ fmr0bedroom: num 628 494 492 545 545 481 453 491 511 481 ...
## $ fmr1bedroom: num 663 643 495 652 652 505 456 513 514 500 ...
## $ fmr2bedroom: num 788 762 670 773 773 599 599 675 696 599 ...
## $ fmr3bedroom: num 1084 1123 834 1015 1015 ...
## $ fmr4bedroom: num 1288 1318 895 1142 1142 ...
## $ pop2010 : int 54571 182265 27457 22915 57322 10914 20947 118572 34215 25989 ...
## $ Areaname : Factor w/ 2572 levels "Abbeville County, SC",..: 1623 112 122 186 186 262 270 62 349 370 ...
## $ county : Factor w/ 1962 levels "Abbeville ","Acadia Parish",..: 91 98 109 162 177 238 248 263 317 339 ...
## $ state : Factor w/ 54 levels "AK","AL","AR",..: 2 2 2 2 2 2 2 2 2 2 ...
## $ county.1 : Factor w/ 1962 levels "Abbeville ","Acadia Parish",..: 91 98 109 162 177 238 248 263 317 339 ...
## fips2000 fips2010 fmr0bedroom fmr1bedroom fmr2bedroom fmr3bedroom
## 1 100199999 1001 628 663 788 1084
## 2 100399999 1003 494 643 762 1123
## 3 100599999 1005 492 495 670 834
## 4 100799999 1007 545 652 773 1015
## 5 100999999 1009 545 652 773 1015
## 6 101199999 1011 481 505 599 791
## fmr4bedroom pop2010 Areaname county
## 1 1288 54571 Montgomery, AL MSA Autauga
## 2 1318 182265 Baldwin County, AL Baldwin
## 3 895 27457 Barbour County, AL Barbour
## 4 1142 22915 Birmingham-Hoover, AL HUD Metro FMR Area Bibb
## 5 1142 57322 Birmingham-Hoover, AL HUD Metro FMR Area Blount
## 6 1061 10914 Bullock County, AL Bullock
## state county.1
## 1 AL Autauga
## 2 AL Baldwin
## 3 AL Barbour
## 4 AL Bibb
## 5 AL Blount
## 6 AL Bullock
2. Generate summary level descriptive statistics: Show the mean, median, 25th and 75th
quartiles, min, and max for each of the applicable variables in your data set
summary(mydata)
## fips2000 fips2010 fmr0bedroom fmr1bedroom
## Min. :1.002e+08 Min. :1.001e+03 Min. : 314.0 Min. : 327.0
## 1st Qu.:2.108e+09 1st Qu.:2.405e+04 1st Qu.: 453.0 1st Qu.: 502.0
## Median :2.711e+09 Median :4.701e+04 Median : 518.0 Median : 572.0
## Mean :3.044e+09 Mean :9.570e+08 Mean : 568.8 Mean : 639.4
## 3rd Qu.:4.213e+09 3rd Qu.:2.302e+09 3rd Qu.: 646.0 3rd Qu.: 735.0
## Max. :7.803e+09 Max. :5.003e+09 Max. :1291.0 Max. :1635.0
## NA's :1
## fmr2bedroom fmr3bedroom fmr4bedroom pop2010
## Min. : 405.0 Min. : 519 Min. : 570 Min. : 0
## 1st Qu.: 643.0 1st Qu.: 860 1st Qu.: 951 1st Qu.: 4017
## Median : 715.0 Median : 955 Median :1124 Median : 15034
## Mean : 806.6 Mean :1065 Mean :1213 Mean : 65627
## 3rd Qu.: 924.0 3rd Qu.:1199 3rd Qu.:1407 3rd Qu.: 41440
## Max. :2062.0 Max. :2801 Max. :3386 Max. :9818605
## NA's :2
## Areaname
## Boston-Cambridge-Quincy, MA-NH HUD Metro FMR Area : 114
## Aroostook County, ME : 73
## Penobscot County, ME (part) HUD Metro FMR Area : 53
## Hartford-West Hartford-East Hartford, CT HUD Metro FMR Area: 51
## Washington County, ME : 49
## Springfield, MA HUD Metro FMR Area : 44
## (Other) :4385
## county state county.1
## Washington : 105 ME : 535 Washington : 105
## Franklin : 89 MA : 351 Franklin : 89
## Aroostook : 73 NH : 259 Aroostook : 73
## Middlesex : 71 VT : 255 Middlesex : 71
## Penobscot : 67 TX : 254 Penobscot : 67
## Worcester : 61 CT : 169 Worcester : 61
## (Other) :4303 (Other):2946 (Other) :4303
3. Determine the frequency for one of the categorical variables.
table(mydata$state)
##
## AK AL AR AZ CA CO CT DC DE FL GA GU HI IA ID IL IN KS
## 29 67 75 15 58 64 169 1 3 67 159 1 5 99 44 102 92 105
## KY LA MA MD ME MI MN MO MS MT NC ND NE NH NJ NM NV NY
## 120 64 351 25 535 83 87 116 82 56 100 53 93 259 21 33 17 62
## OH OK OR PA PR RI SC SD TN TX UT VA VI VT WA WI WV WY
## 88 77 36 67 78 39 46 66 95 254 29 135 3 255 39 72 55 23
4. Determine the frequency for one of the categorical variables, by a different
categorical variable.
s1<-factor(mydata$state, levels=c("NY"))
# table(s1, mydata$county, exclude = NA)
print(table(s1, mydata$county, exclude = NA))
##
## s1 Abbeville Acadia Parish Accomack Ada Adair Adams Addison
## NY 0 0 0 0 0 0 0
##
## s1 Adjuntas Municipio Aguada Municipio Aguadilla Municipio
## NY 0 0 0
##
## s1 Aguas Buenas Municipio Aibonito Municipio Aiken Aitkin Alachua
## NY 0 0 0 0 0
##
## s1 Alamance Alameda Alamosa Albany Albemarle Alcona Alcorn
## NY 0 0 0 1 0 0 0
##
## s1 Aleutians East Borough Aleutians West Census Area Alexander
## NY 0 0 0
##
## s1 Alexandria city Alfalfa Alger Allamakee Allegan Allegany
## NY 0 0 0 0 0 1
##
## s1 Alleghany Allegheny Allen Allen Parish Allendale Alpena Alpine
## NY 0 0 0 0 0 0 0
##
## s1 Amador Amelia Amherst Amite Añasco Municipio
## NY 0 0 0 0 0
##
## s1 Anchorage Municipality Anderson Andrew Andrews Androscoggin
## NY 0 0 0 0 0
##
## s1 Angelina Anne Arundel Anoka Anson Antelope Antrim Apache
## NY 0 0 0 0 0 0 0
##
## s1 Appanoose Appling Appomattox Aransas Arapahoe Archer Archuleta
## NY 0 0 0 0 0 0 0
##
## s1 Arecibo Municipio Arenac Arkansas Arlington Armstrong Aroostook
## NY 0 0 0 0 0 0
##
## s1 Arroyo Municipio Arthur Ascension Parish Ashe Ashland Ashley
## NY 0 0 0 0 0 0
##
## s1 Ashtabula Asotin Assumption Parish Atascosa Atchison Athens
## NY 0 0 0 0 0 0
##
## s1 Atkinson Atlantic Atoka Attala Audrain Audubon Auglaize
## NY 0 0 0 0 0 0 0
##
## s1 Augusta Aurora Austin Autauga Avery Avoyelles Parish Baca
## NY 0 0 0 0 0 0 0
##
## s1 Bacon Bailey Baker Baldwin Ballard Baltimore Baltimore city
## NY 0 0 0 0 0 0 0
##
## s1 Bamberg Bandera Banks Banner Bannock Baraga Barber Barbour
## NY 0 0 0 0 0 0 0 0
##
## s1 Barceloneta Municipio Barnes Barnstable Barnwell
## NY 0 0 0 0
##
## s1 Barranquitas Municipio Barren Barron Barrow Barry Bartholomew
## NY 0 0 0 0 0 0
##
## s1 Barton Bartow Bastrop Bates Bath Baxter Bay Bayamón Municipio
## NY 0 0 0 0 0 0 0 0
##
## s1 Bayfield Baylor Beadle Bear Lake Beaufort Beauregard Parish
## NY 0 0 0 0 0 0
##
## s1 Beaver Beaverhead Becker Beckham Bedford Bedford city Bee
## NY 0 0 0 0 0 0 0
##
## s1 Belknap Bell Belmont Beltrami Ben Hill Benewah Bennett
## NY 0 0 0 0 0 0 0
##
## s1 Bennington Benson Bent Benton Benzie Bergen Berkeley Berks
## NY 0 0 0 0 0 0 0 0
##
## s1 Berkshire Bernalillo Berrien Bertie Bethel Census Area Bexar
## NY 0 0 0 0 0 0
##
## s1 Bibb Bienville Parish Big Horn Big Stone Billings Bingham
## NY 0 0 0 0 0 0
##
## s1 Black Hawk Blackford Bladen Blaine Blair Blanco Bland
## NY 0 0 0 0 0 0 0
##
## s1 Bleckley Bledsoe Blount Blue Earth Boise Bolivar Bollinger
## NY 0 0 0 0 0 0 0
##
## s1 Bon Homme Bond Bonner Bonneville Boone Borden Bosque
## NY 0 0 0 0 0 0 0
##
## s1 Bossier Parish Botetourt Bottineau Boulder Boundary Bourbon
## NY 0 0 0 0 0 0
##
## s1 Bowie Bowman Box Butte Box Elder Boyd Boyle Bracken Bradford
## NY 0 0 0 0 0 0 0 0
##
## s1 Bradley Branch Brantley Braxton Brazoria Brazos Breathitt
## NY 0 0 0 0 0 0 0
##
## s1 Breckinridge Bremer Brevard Brewster Briscoe Bristol
## NY 0 0 0 0 0 0
##
## s1 Bristol Bay Borough Bristol city Broadwater Bronx Brooke
## NY 0 0 0 1 0
##
## s1 Brookings Brooks Broome Broomfield Broward Brown Brule
## NY 0 0 1 0 0 0 0
##
## s1 Brunswick Bryan Buchanan Buckingham Bucks Buena Vista
## NY 0 0 0 0 0 0
##
## s1 Buena Vista city Buffalo Bullitt Bulloch Bullock Buncombe
## NY 0 0 0 0 0 0
##
## s1 Bureau Burke Burleigh Burleson Burlington Burnet Burnett Burt
## NY 0 0 0 0 0 0 0 0
##
## s1 Butler Butte Butts Cabarrus Cabell Cabo Rojo Municipio Cache
## NY 0 0 0 0 0 0 0
##
## s1 Caddo Caddo Parish Caguas Municipio Calaveras Calcasieu Parish
## NY 0 0 0 0 0
##
## s1 Caldwell Caldwell Parish Caledonia Calhoun Callahan Callaway
## NY 0 0 0 0 0 0
##
## s1 Calloway Calumet Calvert Camas Cambria Camden Cameron
## NY 0 0 0 0 0 0 0
##
## s1 Cameron Parish Camp Campbell Camuy Municipio Canadian Candler
## NY 0 0 0 0 0 0
##
## s1 Cannon Canóvanas Municipio Canyon Cape Girardeau Cape May Carbon
## NY 0 0 0 0 0 0
##
## s1 Caribou Carlisle Carlton Carolina Municipio Caroline Carroll
## NY 0 0 0 0 0 0
##
## s1 Carson Carson City Carter Carteret Carver Cascade Casey Cass
## NY 0 0 0 0 0 0 0 0
##
## s1 Cassia Castro Caswell Catahoula Parish Cataño Municipio Catawba
## NY 0 0 0 0 0 0
##
## s1 Catoosa Catron Cattaraugus Cavalier Cayey Municipio Cayuga
## NY 0 0 1 0 0 1
##
## s1 Cecil Cedar Ceiba Municipio Centre Cerro Gordo Chaffee Chambers
## NY 0 0 0 0 0 0 0
##
## s1 Champaign Chariton Charles Charles City Charles Mix Charleston
## NY 0 0 0 0 0 0
##
## s1 Charlevoix Charlotte Charlottesville city Charlton Chase Chatham
## NY 0 0 0 0 0 0
##
## s1 Chattahoochee Chattooga Chautauqua Chaves Cheatham Cheboygan
## NY 0 0 1 0 0 0
##
## s1 Chelan Chemung Chenango Cherokee Cherry Chesapeake city
## NY 0 1 1 0 0 0
##
## s1 Cheshire Chester Chesterfield Cheyenne Chickasaw Chicot
## NY 0 0 0 0 0 0
##
## s1 Childress Chilton Chippewa Chisago Chittenden Choctaw Chouteau
## NY 0 0 0 0 0 0 0
##
## s1 Chowan Christian Churchill Ciales Municipio Cibola
## NY 0 0 0 0 0
##
## s1 Cidra Municipio Cimarron Citrus Clackamas Claiborne
## NY 0 0 0 0 0
##
## s1 Claiborne Parish Clallam Clare Clarendon Clarion Clark Clarke
## NY 0 0 0 0 0 0 0
##
## s1 Clatsop Clay Clayton Clear Creek Clearfield Clearwater
## NY 0 0 0 0 0 0
##
## s1 Cleburne Clermont Cleveland Clifton Forge city Clinch Clinton
## NY 0 0 0 0 0 1
##
## s1 Cloud Coahoma Coal Coamo Municipio Cobb Cochise Cochran Cocke
## NY 0 0 0 0 0 0 0 0
##
## s1 Coconino Codington Coffee Coffey Coke Colbert Cole Coleman
## NY 0 0 0 0 0 0 0 0
##
## s1 Coles Colfax Colleton Collier Collin Collingsworth
## NY 0 0 0 0 0 0
##
## s1 Colonial Heights city Colorado Colquitt Columbia Columbia city
## NY 0 0 0 1 0
##
## s1 Columbiana Columbus Colusa Comal Comanche ComerÃo Municipio
## NY 0 0 0 0 0 0
##
## s1 Concho Concordia Parish Conecuh Conejos Contra Costa Converse
## NY 0 0 0 0 0 0
##
## s1 Conway Cook Cooke Cooper Coos Coosa Copiah Corozal Municipio
## NY 0 0 0 0 0 0 0 0
##
## s1 Corson Cortland Coryell Coshocton Costilla Cottle Cotton
## NY 0 1 0 0 0 0 0
##
## s1 Cottonwood Covington Covington city Coweta Cowley Cowlitz Craig
## NY 0 0 0 0 0 0 0
##
## s1 Craighead Crane Craven Crawford Creek Crenshaw Crisp
## NY 0 0 0 0 0 0 0
##
## s1 Crittenden Crockett Crook Crosby Cross Crow Wing Crowley
## NY 0 0 0 0 0 0 0
##
## s1 Culberson Culebra Municipio Cullman Culpeper Cumberland Cuming
## NY 0 0 0 0 0 0
##
## s1 Currituck Curry Custer Cuyahoga Dade Daggett Dakota Dale
## NY 0 0 0 0 0 0 0 0
##
## s1 Dallam Dallas Dane Daniels Danville city Dare Darke Darlington
## NY 0 0 0 0 0 0 0 0
##
## s1 Dauphin Davidson Davie Daviess Davis Davison Dawes Dawson
## NY 0 0 0 0 0 0 0 0
##
## s1 Day De Baca De Soto Parish De Witt Deaf Smith Dearborn Decatur
## NY 0 0 0 0 0 0 0
##
## s1 Deer Lodge Defiance DeKalb Del Norte Delaware Delta
## NY 0 0 0 0 1 0
##
## s1 Denali Borough Dent Denton Denver Des Moines Deschutes Desha
## NY 0 0 0 0 0 0 0
##
## s1 DeSoto Deuel Dewey DeWitt Dickens Dickenson Dickey Dickinson
## NY 0 0 0 0 0 0 0 0
##
## s1 Dickson Dillingham Census Area Dillon Dimmit Dinwiddie
## NY 0 0 0 0 0
##
## s1 District of Columbia Divide Dixie Dixon Doddridge Dodge Dolores
## NY 0 0 0 0 0 0 0
##
## s1 Dona Ana Doniphan Donley Dooly Door Dorado Municipio Dorchester
## NY 0 0 0 0 0 0 0
##
## s1 Dougherty Douglas Drew Dubois Dubuque Duchesne Dukes Dundy
## NY 0 0 0 0 0 0 0 0
##
## s1 Dunklin Dunn DuPage Duplin Durham Dutchess Duval Dyer Eagle
## NY 0 0 0 0 0 1 0 0 0
##
## s1 Early East Baton Rouge Parish East Carroll Parish
## NY 0 0 0
##
## s1 East Feliciana Parish Eastland Eaton Eau Claire Echols Ector
## NY 0 0 0 0 0 0
##
## s1 Eddy Edgar Edgecombe Edgefield Edmonson Edmunds Edwards
## NY 0 0 0 0 0 0 0
##
## s1 Effingham El Dorado El Paso Elbert Elk Elkhart Elko Elliott
## NY 0 0 0 0 0 0 0 0
##
## s1 Ellis Ellsworth Elmore Emanuel Emery Emmet Emmons Emporia city
## NY 0 0 0 0 0 0 0 0
##
## s1 Erath Erie Escambia Esmeralda Essex Estill Etowah Eureka
## NY 0 1 0 0 1 0 0 0
##
## s1 Evangeline Parish Evans Fairbanks North Star Borough Fairfax
## NY 0 0 0 0
##
## s1 Fairfax city Fairfield Fajardo Municipio Fall River Fallon Falls
## NY 0 0 0 0 0 0
##
## s1 Falls Church city Fannin Faribault Faulk Faulkner Fauquier
## NY 0 0 0 0 0 0
##
## s1 Fayette Fentress Fergus Ferry Fillmore Finney Fisher Flagler
## NY 0 0 0 0 0 0 0 0
##
## s1 Flathead Fleming Florence Florida Municipio Floyd Fluvanna
## NY 0 0 0 0 0 0
##
## s1 Foard Fond du Lac Ford Forest Forrest Forsyth Fort Bend
## NY 0 0 0 0 0 0 0
##
## s1 Foster Fountain Franklin Franklin city Franklin Parish Frederick
## NY 0 0 1 0 0 0
##
## s1 Fredericksburg city Freeborn Freestone Fremont Fresno Frio
## NY 0 0 0 0 0 0
##
## s1 Frontier Fulton Furnas Gadsden Gage Gaines Galax city Gallatin
## NY 0 1 0 0 0 0 0 0
##
## s1 Gallia Galveston Garden Garfield Garland Garrard Garrett
## NY 0 0 0 0 0 0 0
##
## s1 Garvin Garza Gasconade Gaston Gates Geary Geauga Gem Genesee
## NY 0 0 0 0 0 0 0 0 1
##
## s1 Geneva Gentry George Georgetown Gibson Gila Gilchrist Giles
## NY 0 0 0 0 0 0 0 0
##
## s1 Gillespie Gilliam Gilmer Gilpin Glacier Glades Gladwin
## NY 0 0 0 0 0 0 0
##
## s1 Glascock Glasscock Glenn Gloucester Glynn Gogebic
## NY 0 0 0 0 0 0
##
## s1 Golden Valley Goliad Gonzales Goochland Goodhue Gooding Gordon
## NY 0 0 0 0 0 0 0
##
## s1 Goshen Gosper Gove Grady Grafton Graham Grainger Grand
## NY 0 0 0 0 0 0 0 0
##
## s1 Grand Forks Grand Isle Grand Traverse Granite Grant Grant Parish
## NY 0 0 0 0 0 0
##
## s1 Granville Gratiot Graves Gray Grays Harbor Grayson Greeley
## NY 0 0 0 0 0 0 0
##
## s1 Green Green Lake Greenbrier Greene Greenlee Greensville
## NY 0 0 0 1 0 0
##
## s1 Greenup Greenville Greenwood Greer Gregg Gregory Grenada
## NY 0 0 0 0 0 0 0
##
## s1 Griggs Grimes Grundy Guadalupe Guam Guánica Municipio
## NY 0 0 0 0 0 0
##
## s1 Guayama Municipio Guayanilla Municipio Guaynabo Municipio Guernsey
## NY 0 0 0 0
##
## s1 Guilford Gulf Gunnison Gurabo Municipio Guthrie Gwinnett Haakon
## NY 0 0 0 0 0 0 0
##
## s1 Habersham Haines Borough Hale Halifax Hall Hamblen Hamilton
## NY 0 0 0 0 0 0 1
##
## s1 Hamlin Hampden Hampshire Hampton Hampton city Hancock Hand
## NY 0 0 0 0 0 0 0
##
## s1 Hanover Hansford Hanson Haralson Hardee Hardeman Hardin
## NY 0 0 0 0 0 0 0
##
## s1 Harding Hardy Harford Harlan Harmon Harnett Harney Harper
## NY 0 0 0 0 0 0 0 0
##
## s1 Harris Harrison Harrisonburg city Hart Hartford Hartley Harvey
## NY 0 0 0 0 0 0 0
##
## s1 Haskell Hatillo Municipio Hawaii Hawkins Hayes Hays Haywood
## NY 0 0 0 0 0 0 0
##
## s1 Heard Hemphill Hempstead Henderson Hendricks Hendry Hennepin
## NY 0 0 0 0 0 0 0
##
## s1 Henrico Henry Herkimer Hernando Hertford Hettinger Hickman
## NY 0 0 1 0 0 0 0
##
## s1 Hickory Hidalgo Highland Highlands Hill Hillsborough Hillsdale
## NY 0 0 0 0 0 0 0
##
## s1 Hinds Hinsdale Hitchcock Hocking Hockley Hodgeman Hoke Holmes
## NY 0 0 0 0 0 0 0 0
##
## s1 Holt Honolulu Hood Hood River Hooker Hoonah-Angoon Census Area
## NY 0 0 0 0 0 0
##
## s1 Hopewell city Hopkins Hormigueros Municipio Horry Hot Spring
## NY 0 0 0 0 0
##
## s1 Hot Springs Houghton Houston Howard Howard (ex. Columbia City)
## NY 0 0 0 0 0
##
## s1 Howell Hubbard Hudson Hudspeth Huerfano Hughes
## NY 0 0 0 0 0 0
##
## s1 Humacao Municipio Humboldt Humphreys Hunt Hunterdon Huntingdon
## NY 0 0 0 0 0 0
##
## s1 Huntington Huron Hutchinson Hyde Iberia Parish Iberville Parish
## NY 0 0 0 0 0 0
##
## s1 Ida Idaho Imperial Independence Indian River Indiana Ingham
## NY 0 0 0 0 0 0 0
##
## s1 Inyo Ionia Iosco Iowa Iredell Irion Iron Iroquois Irwin
## NY 0 0 0 0 0 0 0 0 0
##
## s1 Isabela Municipio Isabella Isanti Island Isle of Wight Issaquena
## NY 0 0 0 0 0 0
##
## s1 Itasca Itawamba Izard Jack Jackson Jackson Parish James City
## NY 0 0 0 0 0 0 0
##
## s1 Jasper Jay Jayuya Municipio Jeff Davis Jefferson Jefferson Davis
## NY 0 0 0 0 1 0
##
## s1 Jefferson Davis Parish Jefferson Parish Jenkins Jennings Jerauld
## NY 0 0 0 0 0
##
## s1 Jerome Jersey Jessamine Jewell Jim Hogg Jim Wells Jo Daviess
## NY 0 0 0 0 0 0 0
##
## s1 Johnson Johnston Jones Josephine Juab Juana DÃaz Municipio
## NY 0 0 0 0 0 0
##
## s1 Judith Basin Juncos Municipio Juneau Juneau City and Borough
## NY 0 0 0 0
##
## s1 Juniata Kalamazoo Kalawao Kalkaska Kanabec Kanawha Kandiyohi
## NY 0 0 0 0 0 0 0
##
## s1 Kane Kankakee Karnes Kauai Kaufman Kay Kearney Kearny Keith
## NY 0 0 0 0 0 0 0 0 0
##
## s1 Kemper Kenai Peninsula Borough Kendall Kenedy Kennebec Kenosha
## NY 0 0 0 0 0 0
##
## s1 Kent Kenton Keokuk Kern Kerr Kershaw Ketchikan Gateway Borough
## NY 0 0 0 0 0 0 0
##
## s1 Kewaunee Keweenaw Keya Paha Kidder Kimball Kimble King
## NY 0 0 0 0 0 0 0
##
## s1 King and Queen King George King William Kingfisher Kingman
## NY 0 0 0 0 0
##
## s1 Kings Kingsbury Kinney Kiowa Kit Carson Kitsap Kittitas
## NY 1 0 0 0 0 0 0
##
## s1 Kittson Klamath Kleberg Klickitat Knott Knox
## NY 0 0 0 0 0 0
##
## s1 Kodiak Island Borough Koochiching Kootenai Kosciusko Kossuth
## NY 0 0 0 0 0
##
## s1 La Crosse La Paz La Plata La Salle La Salle Parish Labette
## NY 0 0 0 0 0 0
##
## s1 Lac qui Parle Lackawanna Laclede Lafayette Lafayette Parish
## NY 0 0 0 0 0
##
## s1 Lafourche Parish LaGrange Lajas Municipio Lake
## NY 0 0 0 0
##
## s1 Lake and Peninsula Borough Lake of the Woods Lamar Lamb Lamoille
## NY 0 0 0 0 0
##
## s1 LaMoure Lampasas Lancaster Lander Lane Langlade Lanier Lapeer
## NY 0 0 0 0 0 0 0 0
##
## s1 LaPorte Laramie Lares Municipio Larimer Larue Las Animas
## NY 0 0 0 0 0 0
##
## s1 Las MarÃas Municipio Las Piedras Municipio Lassen Latah Latimer
## NY 0 0 0 0 0
##
## s1 Lauderdale Laurel Laurens Lavaca Lawrence Le Flore Le Sueur
## NY 0 0 0 0 0 0 0
##
## s1 Lea Leake Leavenworth Lebanon Lee Leelanau Leflore Lehigh
## NY 0 0 0 0 0 0 0 0
##
## s1 Lemhi Lenawee Lenoir Leon Leslie Letcher Levy Lewis
## NY 0 0 0 0 0 0 0 1
##
## s1 Lewis and Clark Lexington Lexington city Liberty Licking
## NY 0 0 0 0 0
##
## s1 Limestone Lincoln Lincoln Parish Linn Lipscomb Litchfield
## NY 0 0 0 0 0 0
##
## s1 Little River Live Oak Livingston Livingston Parish Llano Logan
## NY 0 0 1 0 0 0
##
## s1 LoÃza Municipio Long Lonoke Lorain Los Alamos Los Angeles
## NY 0 0 0 0 0 0
##
## s1 Loudon Loudoun Louisa Loup Love Loving Lowndes Lubbock Lucas
## NY 0 0 0 0 0 0 0 0 0
##
## s1 Luce Lumpkin Luna Lunenburg Luquillo Municipio Luzerne Lycoming
## NY 0 0 0 0 0 0 0
##
## s1 Lyman Lynchburg city Lynn Lyon Mackinac Macomb Macon Macoupin
## NY 0 0 0 0 0 0 0 0
##
## s1 Madera Madison Madison Parish Magoffin Mahaska Mahnomen
## NY 0 1 0 0 0 0
##
## s1 Mahoning Major Malheur Manassas city Manassas Park city Manatee
## NY 0 0 0 0 0 0
##
## s1 Manatà Municipio Manistee Manitowoc Marathon Marengo
## NY 0 0 0 0 0
##
## s1 Maricao Municipio Maricopa Maries Marin Marinette Marion
## NY 0 0 0 0 0 0
##
## s1 Mariposa Marlboro Marquette Marshall Martin Martinsville city
## NY 0 0 0 0 0 0
##
## s1 Mason Massac Matagorda Matanuska-Susitna Borough Mathews Maui
## NY 0 0 0 0 0 0
##
## s1 Maunabo Municipio Maury Maverick Mayagüez Municipio Mayes McClain
## NY 0 0 0 0 0 0
##
## s1 McCone McCook McCormick McCracken McCreary McCulloch McCurtain
## NY 0 0 0 0 0 0 0
##
## s1 McDonald McDonough McDowell McDuffie McHenry McIntosh McKean
## NY 0 0 0 0 0 0 0
##
## s1 McKenzie McKinley McLean McLennan McLeod McMinn McMullen
## NY 0 0 0 0 0 0 0
##
## s1 McNairy McPherson Meade Meagher Mecklenburg Mecosta Medina
## NY 0 0 0 0 0 0 0
##
## s1 Meeker Meigs Mellette Menard Mendocino Menifee Menominee
## NY 0 0 0 0 0 0 0
##
## s1 Merced Mercer Meriwether Merrick Merrimack Mesa Metcalfe
## NY 0 0 0 0 0 0 0
##
## s1 Miami-Dade Miami Middlesex Midland Mifflin Milam Millard
## NY 0 0 0 0 0 0 0
##
## s1 Mille Lacs Miller Mills Milwaukee Miner Mineral Mingo
## NY 0 0 0 0 0 0 0
##
## s1 Minidoka Minnehaha Missaukee Mississippi Missoula Mitchell
## NY 0 0 0 0 0 0
##
## s1 Mobile Moca Municipio Modoc Moffat Mohave Moniteau Monmouth
## NY 0 0 0 0 0 0 0
##
## s1 Mono Monona Monongalia Monroe Montague Montcalm Monterey
## NY 0 0 0 1 0 0 0
##
## s1 Montezuma Montgomery Montmorency Montour Montrose Moody Moore
## NY 0 1 0 0 0 0 0
##
## s1 Mora Morehouse Parish Morgan Morovis Municipio Morrill Morris
## NY 0 0 0 0 0 0
##
## s1 Morrison Morrow Morton Motley Moultrie Mountrail Mower
## NY 0 0 0 0 0 0 0
##
## s1 Muhlenberg Multnomah Murray Muscatine Muscogee Muskegon
## NY 0 0 0 0 0 0
##
## s1 Muskingum Muskogee Musselshell Nacogdoches Naguabo Municipio
## NY 0 0 0 0 0
##
## s1 Nance Nantucket Napa Naranjito Municipio Nash Nassau
## NY 0 0 0 0 0 1
##
## s1 Natchitoches Parish Natrona Navajo Navarro Nelson Nemaha Neosho
## NY 0 0 0 0 0 0 0
##
## s1 Neshoba Ness Nevada New Castle New Hanover New Haven New Kent
## NY 0 0 0 0 0 0 0
##
## s1 New London New Madrid New York Newaygo Newberry Newport
## NY 0 0 1 0 0 0
##
## s1 Newport News city Newton Nez Perce Niagara Nicholas Nicollet
## NY 0 0 0 1 0 0
##
## s1 Niobrara Noble Nobles Nodaway Nolan Nome Census Area Norfolk
## NY 0 0 0 0 0 0 0
##
## s1 Norfolk city Norman North Slope Borough Northampton Northumberland
## NY 0 0 0 0 0
##
## s1 Northwest Arctic Borough Norton Norton city Nottoway Nowata
## NY 0 0 0 0 0
##
## s1 Noxubee Nuckolls Nueces Nye O'Brien Oakland Obion Ocean
## NY 0 0 0 0 0 0 0 0
##
## s1 Oceana Ochiltree Oconee Oconto Ogemaw Ogle Oglethorpe Ohio
## NY 0 0 0 0 0 0 0 0
##
## s1 Okaloosa Okanogan Okeechobee Okfuskee Oklahoma Okmulgee
## NY 0 0 0 0 0 0
##
## s1 Oktibbeha Oldham Oliver Olmsted Oneida Onondaga Onslow
## NY 0 0 0 0 1 1 0
##
## s1 Ontario Ontonagon Orange Orangeburg Oregon Orleans
## NY 1 0 1 0 0 1
##
## s1 Orleans Parish Orocovis Municipio Osage Osborne Osceola Oscoda
## NY 0 0 0 0 0 0
##
## s1 Oswego Otero Otoe Otsego Ottawa Otter Tail Ouachita
## NY 1 0 0 1 0 0 0
##
## s1 Ouachita Parish Ouray Outagamie Overton Owen Owsley Owyhee
## NY 0 0 0 0 0 0 0
##
## s1 Oxford Ozark Ozaukee Pacific Page Palm Beach Palo Alto
## NY 0 0 0 0 0 0 0
##
## s1 Palo Pinto Pamlico Panola Park Parke Parker Parmer Pasco
## NY 0 0 0 0 0 0 0 0
##
## s1 Pasquotank Passaic Patillas Municipio Patrick Paulding Pawnee
## NY 0 0 0 0 0 0
##
## s1 Payette Payne Peach Pearl River Pecos Pembina Pemiscot
## NY 0 0 0 0 0 0 0
##
## s1 Pend Oreille Pender Pendleton Pennington Penobscot
## NY 0 0 0 0 0
##
## s1 Peñuelas Municipio Peoria Pepin Perkins Perquimans Perry
## NY 0 0 0 0 0 0
##
## s1 Pershing Person Petersburg Census Area Petersburg city Petroleum
## NY 0 0 0 0 0
##
## s1 Pettis Phelps Philadelphia Phillips Piatt Pickaway Pickens
## NY 0 0 0 0 0 0 0
##
## s1 Pickett Pierce Pike Pima Pinal Pine Pinellas Pipestone
## NY 0 0 0 0 0 0 0 0
##
## s1 Piscataquis Pitkin Pitt Pittsburg Pittsylvania Piute Placer
## NY 0 0 0 0 0 0 0
##
## s1 Plaquemines Parish Platte Pleasants Plumas Plymouth Pocahontas
## NY 0 0 0 0 0 0
##
## s1 Poinsett Pointe Coupee Parish Polk Ponce Municipio Pondera
## NY 0 0 0 0 0
##
## s1 Pontotoc Pope Poquoson city Portage Porter Portsmouth city Posey
## NY 0 0 0 0 0 0 0
##
## s1 Pottawatomie Pottawattamie Potter Powder River Powell Power
## NY 0 0 0 0 0 0
##
## s1 Poweshiek Powhatan Prairie Pratt Preble Prentiss Presidio
## NY 0 0 0 0 0 0 0
##
## s1 Presque Isle Preston Price Prince Edward Prince George's
## NY 0 0 0 0 0
##
## s1 Prince George Prince of Wales-Hyder Census Area Prince William
## NY 0 0 0
##
## s1 Providence Prowers Pueblo Pulaski Pushmataha Putnam Quay
## NY 0 0 0 0 0 1 0
##
## s1 Quebradillas Municipio Queen Anne's Queens Quitman Rabun Racine
## NY 0 0 1 0 0 0
##
## s1 Radford city Rains Raleigh Ralls Ramsey Randall Randolph
## NY 0 0 0 0 0 0 0
##
## s1 Rankin Ransom Rapides Parish Rappahannock Ravalli Rawlins Ray
## NY 0 0 0 0 0 0 0
##
## s1 Reagan Real Red Lake Red River Red River Parish Red Willow
## NY 0 0 0 0 0 0
##
## s1 Redwood Reeves Refugio Reno Rensselaer Renville Republic
## NY 0 0 0 0 1 0 0
##
## s1 Reynolds Rhea Rice Rich Richardson Richland Richland Parish
## NY 0 0 0 0 0 0 0
##
## s1 Richmond Richmond city Riley Rincón Municipio Ringgold Rio Arriba
## NY 1 0 0 0 0 0
##
## s1 Rio Blanco Rio Grande RÃo Grande Municipio Ripley Ritchie
## NY 0 0 0 0 0
##
## s1 Riverside Roane Roanoke Roanoke city Roberts Robertson Robeson
## NY 0 0 0 0 0 0 0
##
## s1 Rock Rock Island Rockbridge Rockcastle Rockdale Rockingham
## NY 0 0 0 0 0 0
##
## s1 Rockland Rockwall Roger Mills Rogers Rolette Rooks Roosevelt
## NY 1 0 0 0 0 0 0
##
## s1 Roscommon Roseau Rosebud Ross Routt Rowan Runnels Rush Rusk
## NY 0 0 0 0 0 0 0 0 0
##
## s1 Russell Rutherford Rutland Sabana Grande Municipio Sabine
## NY 0 0 0 0 0
##
## s1 Sabine Parish Sac Sacramento Sagadahoc Saginaw Saguache Salem
## NY 0 0 0 0 0 0 0
##
## s1 Salem city Salinas Municipio Saline Salt Lake Saluda Sampson
## NY 0 0 0 0 0 0
##
## s1 San Augustine San Benito San Bernardino San Diego San Francisco
## NY 0 0 0 0 0
##
## s1 San Germán Municipio San Jacinto San Joaquin San Juan
## NY 0 0 0 0
##
## s1 San Juan Municipio San Lorenzo Municipio San Luis Obispo San Mateo
## NY 0 0 0 0
##
## s1 San Miguel San Patricio San Saba San Sebastián Municipio Sanborn
## NY 0 0 0 0 0
##
## s1 Sanders Sandoval Sandusky Sangamon Sanilac Sanpete
## NY 0 0 0 0 0 0
##
## s1 Santa Barbara Santa Clara Santa Cruz Santa Fe
## NY 0 0 0 0
##
## s1 Santa Isabel Municipio Santa Rosa Sarasota Saratoga Sargent
## NY 0 0 0 1 0
##
## s1 Sarpy Sauk Saunders Sawyer Schenectady Schleicher Schley
## NY 0 0 0 0 1 0 0
##
## s1 Schoharie Schoolcraft Schuyler Schuylkill Scioto Scotland
## NY 1 0 1 0 0 0
##
## s1 Scott Scotts Bluff Screven Scurry Searcy Sebastian Sedgwick
## NY 0 0 0 0 0 0 0
##
## s1 Seminole Seneca Sequatchie Sequoyah Sevier Seward Shackelford
## NY 0 1 0 0 0 0 0
##
## s1 Shannon Sharkey Sharp Shasta Shawano Shawnee Sheboygan Shelby
## NY 0 0 0 0 0 0 0 0
##
## s1 Shenandoah Sherburne Sheridan Sherman Shiawassee Shoshone
## NY 0 0 0 0 0 0
##
## s1 Sibley Sierra Silver Bow Simpson Sioux Siskiyou
## NY 0 0 0 0 0 0
##
## s1 Sitka City and Borough Skagit Skagway Municipality Skamania Slope
## NY 0 0 0 0 0
##
## s1 Smith Smyth Snohomish Snyder Socorro Solano Somerset
## NY 0 0 0 0 0 0 0
##
## s1 Somervell Sonoma Southampton Southeast Fairbanks Census Area
## NY 0 0 0 0
##
## s1 Spalding Spartanburg Spencer Spink Spokane Spotsylvania
## NY 0 0 0 0 0 0
##
## s1 St. Bernard Parish St. Charles St. Charles Parish St. Clair
## NY 0 0 0 0
##
## s1 St. Croix St. Croix St. Francis St. Francois St. Helena Parish
## NY 0 0 0 0 0
##
## s1 St. James Parish St. John St. John the Baptist Parish St. Johns
## NY 0 0 0 0
##
## s1 St. Joseph St. Landry Parish St. Lawrence St. Louis St. Louis city
## NY 0 0 1 0 0
##
## s1 St. Lucie St. Martin Parish St. Mary's St. Mary Parish
## NY 0 0 0 0
##
## s1 St. Tammany Parish St. Thomas Stafford Stanislaus Stanley Stanly
## NY 0 0 0 0 0 0
##
## s1 Stanton Stark Starke Starr Staunton city Ste. Genevieve Stearns
## NY 0 0 0 0 0 0 0
##
## s1 Steele Stephens Stephenson Sterling Steuben Stevens Stewart
## NY 0 0 0 0 1 0 0
##
## s1 Stillwater Stoddard Stokes Stone Stonewall Storey Story
## NY 0 0 0 0 0 0 0
##
## s1 Strafford Stutsman Sublette Suffolk Suffolk city Sullivan
## NY 0 0 0 1 0 1
##
## s1 Sullivan part Sully Summers Summit Sumner Sumter Sunflower
## NY 0 0 0 0 0 0 0
##
## s1 Surry Susquehanna Sussex Sutter Sutton Suwannee Swain
## NY 0 0 0 0 0 0 0
##
## s1 Sweet Grass Sweetwater Swift Swisher Switzerland Talbot
## NY 0 0 0 0 0 0
##
## s1 Taliaferro Talladega Tallahatchie Tallapoosa Tama Taney
## NY 0 0 0 0 0 0
##
## s1 Tangipahoa Parish Taos Tarrant Tate Tattnall Taylor Tazewell
## NY 0 0 0 0 0 0 0
##
## s1 Tehama Telfair Teller Tensas Parish Terrebonne Parish Terrell
## NY 0 0 0 0 0 0
##
## s1 Terry Teton Texas Thayer Thomas Throckmorton Thurston Tift
## NY 0 0 0 0 0 0 0 0
##
## s1 Tillamook Tillman Tioga Tippah Tippecanoe Tipton Tishomingo
## NY 0 0 1 0 0 0 0
##
## s1 Titus Toa Alta Municipio Toa Baja Municipio Todd Tolland
## NY 0 0 0 0 0
##
## s1 Tom Green Tompkins Tooele Toole Toombs Torrance Towner Towns
## NY 0 1 0 0 0 0 0 0
##
## s1 Traill Transylvania Traverse Travis Treasure Trego Trempealeau
## NY 0 0 0 0 0 0 0
##
## s1 Treutlen Trigg Trimble Trinity Tripp Troup Trousdale
## NY 0 0 0 0 0 0 0
##
## s1 Trujillo Alto Municipio Trumbull Tucker Tulare Tulsa Tunica
## NY 0 0 0 0 0 0
##
## s1 Tuolumne Turner Tuscaloosa Tuscarawas Tuscola Twiggs
## NY 0 0 0 0 0 0
##
## s1 Twin Falls Tyler Tyrrell Uinta Uintah Ulster Umatilla Unicoi
## NY 0 0 0 0 0 1 0 0
##
## s1 Union Union Parish Upshur Upson Upton Utah Utuado Municipio
## NY 0 0 0 0 0 0 0
##
## s1 Uvalde Val Verde Valdez-Cordova Census Area Valencia Valley
## NY 0 0 0 0 0
##
## s1 Van Buren Van Wert Van Zandt Vance Vanderburgh
## NY 0 0 0 0 0
##
## s1 Vega Alta Municipio Vega Baja Municipio Venango Ventura Vermilion
## NY 0 0 0 0 0
##
## s1 Vermilion Parish Vermillion Vernon Vernon Parish Victoria
## NY 0 0 0 0 0
##
## s1 Vieques Municipio Vigo Vilas Villalba Municipio Vinton
## NY 0 0 0 0 0
##
## s1 Virginia Beach city Volusia Wabash Wabasha Wabaunsee
## NY 0 0 0 0 0
##
## s1 Wade Hampton Census Area Wadena Wagoner Wahkiakum Wake Wakulla
## NY 0 0 0 0 0 0
##
## s1 Waldo Walker Walla Walla Wallace Waller Wallowa Walsh
## NY 0 0 0 0 0 0 0
##
## s1 Walthall Walton Walworth Wapello Ward Ware Warren Warrick
## NY 0 0 0 0 0 0 1 0
##
## s1 Wasatch Wasco Waseca Washakie Washburn Washington
## NY 0 0 0 0 0 1
##
## s1 Washington Parish Washita Washoe Washtenaw Watauga Watonwan
## NY 0 0 0 0 0 0
##
## s1 Waukesha Waupaca Waushara Wayne Waynesboro city Weakley Webb
## NY 0 0 0 1 0 0 0
##
## s1 Weber Webster Webster Parish Weld Wells West Baton Rouge Parish
## NY 0 0 0 0 0 0
##
## s1 West Carroll Parish West Feliciana Parish Westchester Westmoreland
## NY 0 0 1 0
##
## s1 Weston Wetzel Wexford Wharton Whatcom Wheatland Wheeler White
## NY 0 0 0 0 0 0 0 0
##
## s1 White Pine Whiteside Whitfield Whitley Whitman Wibaux Wichita
## NY 0 0 0 0 0 0 0
##
## s1 Wicomico Wilbarger Wilcox Wilkes Wilkin Wilkinson Will
## NY 0 0 0 0 0 0 0
##
## s1 Willacy Williams Williamsburg Williamsburg city Williamson
## NY 0 0 0 0 0
##
## s1 Wilson Winchester city Windham Windsor Winkler Winn Parish
## NY 0 0 0 0 0 0
##
## s1 Winnebago Winneshiek Winona Winston Wirt Wise Wolfe Wood
## NY 0 0 0 0 0 0 0 0
##
## s1 Woodbury Woodford Woodruff Woods Woodson Woodward Worcester
## NY 0 0 0 0 0 0 0
##
## s1 Worth Wrangell City and Borough Wright Wyandot Wyandotte Wyoming
## NY 0 0 0 0 0 1
##
## s1 Wythe Yabucoa Municipio Yadkin Yakima Yakutat City and Borough
## NY 0 0 0 0 0
##
## s1 Yalobusha Yamhill Yancey Yankton Yates Yauco Municipio Yavapai
## NY 0 0 0 0 1 0 0
##
## s1 Yazoo Yell Yellow Medicine Yellowstone Yoakum Yolo York Young
## NY 0 0 0 0 0 0 0 0
##
## s1 Yuba Yukon-Koyukuk Census Area Yuma Zapata Zavala Ziebach
## NY 0 0 0 0 0 0
5. Create a graph for a single numeric variable.
qplot(fmr0bedroom, data=mydata)
## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
Or
qplot(fmr0bedroom, color=state, data=mydata)
## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
6. Create a scatterplot of two numeric variables.
p<- qplot( fmr2bedroom, pop2010, data= mydata, color =pop2010, size=I(5),
main= " Population over Two bedroom rental cost",
xlab ="Two Bedroom Rental Cost",
ylab="Population" )
p + theme_bw()
## Warning: Removed 2 rows containing missing values (geom_point).
p + theme(axis.title=element_text(face="bold.italic",
size="14", color="Red"), legend.position="Right")
## Warning: Removed 2 rows containing missing values (geom_point).
Draw a map showing the cost of Section 8 Two bedroom Rental by County
it looks like the cost of section 8 two bedroom is higher in the north and south east regions.
it also more expensive in the west coast.
colors = c("#F1EEF6", "#D4B9DA", "#C994C7", "#DF65B0", "#DD1C77", "#980043")
mydata$colorBuckets <- as.numeric(cut(mydata$fmr2bedroom, c(0, 405, 643, 715, 806, 925, 2000)))
leg.txt <- c("< Min", "1st Qu", "Median", "Mean", "3rd Qu", "Max")
cnty.fips <- county.fips$fips[match(map("county", plot=FALSE)$names,
county.fips$polyname)]
colorsmatched <- mydata$colorBuckets [match(cnty.fips, mydata$fips2010)]
map("county", col = colors[colorsmatched], fill = TRUE, resolution = 0,
lty = 0, projection = "polyconic")
map("state", col = "white", fill = FALSE, add = TRUE, lty = 1, lwd = 0.2,
projection="polyconic")
title("The Cost of Section8 Two bedroom Rental by County")
legend("topright", leg.txt, horiz = TRUE, fill = colors)
