Simple repository for manipulating demographic data from Data USA.
import * as IO from 'fp-ts/IO'
import * as Console from 'fp-ts/Console'
import * as N from 'fp-ts/number'
import * as RA from 'fp-ts/ReadonlyArray'
import * as RR from 'fp-ts/ReadonlyRecord'
import * as RT from 'fp-ts/ReaderTask'
import * as RTE from 'fp-ts/ReaderTaskEither'
import { flow, pipe } from 'fp-ts/function'
import * as REST from './REST'
import * as API from './API'
const main: IO.IO<void> = () =>
pipe(
API.getTotalForeignPopulationByStateAndBirthplace(),
RTE.map(
flow(
({ data }) => data,
RA.filter(({ 'Slug State': state }) => state === 'new-mexico'),
RA.foldMap(RR.getUnionMonoid(RR.getUnionMonoid(N.MonoidSum)))(
({
'Slug State': state,
'Total Population': population,
Birthplace: birthplace,
}) => RR.singleton(state, RR.singleton(birthplace, population)),
),
),
),
RTE.fold(
e => RT.fromIO(Console.error(e)),
data => RT.fromIO(Console.log(data)),
),
rt => rt(REST.env)(),
)
main(){
"new-mexico": {
"American Samoa": 383,
"Albania": 137,
"Austria": 102,
"Belgium": 54,
"Bulgaria": 385,
"Denmark": 13,
"France": 527,
"Germany": 2954,
"Greece": 701,
"Hungary": 293,
"Ireland": 195,
"Italy": 657,
"Netherlands": 40,
"Norway": 146,
"Poland": 302,
"Romania": 845,
"Spain": 98,
"Sweden": 65,
"Switzerland": 15,
"United Kingdom, not specified": 986,
"England": 1837,
"Scotland": 495,
"Northern Ireland": 423,
"Bosnia and Herzegovina": 54,
"Serbia": 78,
"Latvia": 60,
"Azerbaijan": 387,
"Russia": 185,
"Ukraine": 140,
"USSR": 10,
"Europe": 62,
"Other Europe, not specified": 331,
"Myanmar": 233,
"Cambodia": 47,
"China": 4044,
"Hong Kong": 112,
"India": 3160,
"Indonesia": 452,
"Iran": 2572,
"Iraq": 795,
"Japan": 1374,
"Korea": 2143,
"Laos": 138,
"Lebanon": 295,
"Malaysia": 220,
"Nepal": 408,
"Pakistan": 275,
"Philippines": 6791,
"Saudi Arabia": 82,
"Singapore": 154,
"Sri Lanka": 161,
"Taiwan": 678,
"Thailand": 681,
"Vietnam": 6226,
"Canada": 1545,
"Mexico": 129061,
"Costa Rica": 1064,
"El Salvador": 2087,
"Guatemala": 1942,
"Honduras": 942,
"Nicaragua": 205,
"Panama": 362,
"Cuba": 3118,
"Dominica": 221,
"Dominican Republic": 301,
"Haiti": 488,
"Jamaica": 20,
"St Vincent & the Grenadines": 103,
"Trinidad & Tobago": 58,
"Argentina": 212,
"Bolivia": 323,
"Brazil": 254,
"Chile": 302,
"Colombia": 1945,
"Ecuador": 366,
"Peru": 1627,
"Venezuela": 1067,
"Americas, not specified": 453,
"Cameroon": 95,
"Congo": 166,
"Egypt": 219,
"Ethiopia": 119,
"Eritrea": 138,
"Ghana": 140,
"Kenya": 513,
"Libya": 51,
"Morocco": 147,
"Nigeria": 595,
"South Africa": 346,
"Tanzania": 50,
"Democratic Republic of Congo (Zaire)": 1224,
"Zambia": 137,
"Africa": 229,
"Australia": 590,
"Micronesia": 31,
"New Zealand": 266,
"Other U.S. Island Areas, Oceania, Not Specified, or at Sea": 248
}
}- Node (NVM highly recommended)
- Yarn
git clone https://github.com/jacob-alford/geo-comb.gityarn && yarn start
import * as IO from 'fp-ts/IO'
import * as Console from 'fp-ts/Console'
import * as N from 'fp-ts/number'
import * as O from 'fp-ts/Option'
import * as Ord from 'fp-ts/Ord'
import * as RA from 'fp-ts/ReadonlyArray'
import * as RR from 'fp-ts/ReadonlyRecord'
import * as RT from 'fp-ts/ReaderTask'
import * as RTE from 'fp-ts/ReaderTaskEither'
import { flow, pipe, tuple } from 'fp-ts/function'
import * as REST from './REST'
import * as API from './API'
const main: IO.IO<void> = () =>
pipe(
API.getLanguagesByMSA(),
RTE.map(
flow(
({ data }) => data,
RA.filterMap(
({
'Language Spoken at Home': language,
'Slug MSA': msa,
'Languages Spoken': speakers,
}) =>
pipe(
tuple(msa, speakers),
O.fromPredicate(
() => language === 'Chinese (Incl. Mandarin, Cantonese)',
),
),
),
RA.sort(Ord.tuple(Ord.trivial, N.Ord)),
),
),
RTE.fold(
e => RT.fromIO(Console.error(e)),
data => RT.fromIO(Console.log(data)),
),
rt => rt(REST.env)(),
)
main()[
["louisvillejefferson-county-ky-in", 2126],
["jacksonville-fl-31000US27260", 4660],
["rochester-ny-31000US40380", 4674],
["buffalo-cheektowaga-niagara-falls-ny", 5614],
["worcester-ma-ct", 5704],
["milwaukee-waukesha-west-allis-wi", 6004],
["nashville-davidson-murfreesboro-franklin-tn", 6017],
["richmond-va-31000US40060", 6080],
["providence-warwick-ri-ma", 6271],
["virginia-beach-norfolk-newport-news-va-nc", 6728],
["oxnard-thousand-oaks-ventura-ca", 7711],
["san-antonio-new-braunfels-tx", 7884],
["new-haven-milford-ct", 8273],
["albany-schenectady-troy-ny", 8289],
["cleveland-elyria-oh", 8555],
["charlotte-concord-gastonia-nc-sc", 8717],
["salt-lake-city-ut-31000US41620", 9037],
["bridgeport-stamford-norwalk-ct", 9170],
["kansas-city-mo-ks", 9291],
["indianapolis-carmel-anderson-in", 9632],
["pittsburgh-pa-31000US38300", 10235],
["hartford-west-hartford-east-hartford-ct", 11041],
["cincinnati-oh-ky-in", 11572],
["raleigh-nc-31000US39580", 11869],
["denver-aurora-lakewood-co", 13253],
["tampa-st-petersburg-clearwater-fl", 13809],
["orlando-kissimmee-sanford-fl", 14074],
["columbus-oh-31000US18140", 17234],
["st-louis-mo-il", 17291],
["minneapolis-st-paul-bloomington-mn-wi", 18202],
["austin-round-rock-tx", 18567],
["detroit-warren-dearborn-mi", 20966],
["baltimore-columbia-towson-md", 23226],
["miami-fort-lauderdale-west-palm-beach-fl", 23735],
["phoenix-mesa-scottsdale-az", 26039],
["portland-vancouver-hillsboro-or-wa", 29777],
["las-vegas-henderson-paradise-nv", 31133],
["atlanta-sandy-springs-roswell-ga", 42048],
["san-diego-carlsbad-ca", 51997],
["riverside-san-bernardino-ontario-ca", 54073],
["sacramento-roseville-arden-arcade-ca", 54386],
["dallas-fort-worth-arlington-tx", 61390],
["philadelphia-camden-wilmington-pa-nj-de-md", 76740],
["houston-the-woodlands-sugar-land-tx", 81287],
["washington-arlington-alexandria-dc-va-md-wv", 97759],
["chicago-naperville-elgin-il-in-wi", 98847],
["seattle-tacoma-bellevue-wa", 116109],
["boston-cambridge-newton-ma-nh", 138342],
["san-jose-sunnyvale-santa-clara-ca", 176606],
["san-francisco-oakland-hayward-ca", 392697],
["los-angeles-long-beach-anaheim-ca", 487715],
["new-york-newark-jersey-city-ny-nj-pa", 654256]
]