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Poverty Data program using CoffeeScript #15

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Poverty Data program using CoffeeScript #15

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58bfeef
initial setup
emgord Apr 7, 2016
c570953
reads and prints out text file
emgord Apr 7, 2016
1739e7c
create object for county data
emgord Apr 7, 2016
c8e5689
method to find county with highest poverty percentage
emgord Apr 7, 2016
da266ff
method to for county with lowest percentage children in poverty
emgord Apr 7, 2016
dd70635
method to get info about a particular county
emgord Apr 7, 2016
e068117
created StateData as an object
emgord Apr 7, 2016
0866ce3
reads text file from internet
emgord Apr 7, 2016
4f5acfa
reads state from arguments when running program
emgord Apr 7, 2016
e131422
can pass in county as argument
emgord Apr 7, 2016
99d3c46
county input can take uppercase lowercase or without the word county
emgord Apr 7, 2016
7019dd5
prints information nicely to console
emgord Apr 7, 2016
518118a
flow of program and asking for user input refined
emgord Apr 7, 2016
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40 changes: 40 additions & 0 deletions est14_WA.txt
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53 0 913463 895355 931571 13.2 12.9 13.5 275662 265882 285442 17.5 16.9 18.1 180464 171990 188938 16.0 15.2 16.8 61358 60882 61834 85453 80800 90106 19.6 18.5 20.7 Washington WA est14_WA.txt 06NOV2015
53 1 3598 2947 4249 19.0 15.6 22.4 1816 1477 2155 27.1 22.0 32.2 1152 903 1401 24.7 19.4 30.0 47423 42474 52372 Adams County WA est14_WA.txt 06NOV2015
53 3 3573 2849 4297 16.3 13.0 19.6 1104 846 1362 24.2 18.5 29.9 723 546 900 21.5 16.2 26.8 44055 39944 48166 Asotin County WA est14_WA.txt 06NOV2015
53 5 26893 23628 30158 14.6 12.8 16.4 10421 8839 12003 21.3 18.1 24.5 6754 5615 7893 19.0 15.8 22.2 58750 56072 61428 Benton County WA est14_WA.txt 06NOV2015
53 7 10298 8470 12126 14.0 11.5 16.5 3588 2774 4402 20.2 15.6 24.8 2436 1839 3033 19.2 14.5 23.9 49174 45028 53320 Chelan County WA est14_WA.txt 06NOV2015
53 9 11518 9848 13188 16.2 13.8 18.6 3267 2671 3863 26.2 21.4 31.0 2025 1593 2457 22.3 17.5 27.1 47185 43543 50827 Clallam County WA est14_WA.txt 06NOV2015
53 11 44213 38703 49723 9.9 8.7 11.1 15179 12259 18099 13.6 11.0 16.2 10647 8436 12858 12.8 10.2 15.4 61747 60396 63098 Clark County WA est14_WA.txt 06NOV2015
53 13 607 469 745 15.5 12.0 19.0 190 145 235 25.7 19.6 31.8 130 98 162 22.0 16.6 27.4 45465 41255 49675 Columbia County WA est14_WA.txt 06NOV2015
53 15 20701 18425 22977 20.6 18.3 22.9 6118 5100 7136 26.8 22.3 31.3 3909 3166 4652 23.1 18.7 27.5 44235 41355 47115 Cowlitz County WA est14_WA.txt 06NOV2015
53 17 6120 4978 7262 15.5 12.6 18.4 2507 1974 3040 24.4 19.2 29.6 1712 1339 2085 22.7 17.8 27.6 51151 47257 55045 Douglas County WA est14_WA.txt 06NOV2015
53 19 1700 1392 2008 22.4 18.3 26.5 403 316 490 29.1 22.8 35.4 264 205 323 25.9 20.1 31.7 39992 36038 43946 Ferry County WA est14_WA.txt 06NOV2015
53 21 14661 12404 16918 17.3 14.6 20.0 7214 6027 8401 24.9 20.8 29.0 4533 3611 5455 22.4 17.8 27.0 55006 51191 58821 Franklin County WA est14_WA.txt 06NOV2015
53 23 310 240 380 14.2 11.0 17.4 91 70 112 20.7 15.8 25.6 60 45 75 17.4 13.1 21.7 46404 41508 51300 Garfield County WA est14_WA.txt 06NOV2015
53 25 14508 11796 17220 15.8 12.8 18.8 5766 4441 7091 20.9 16.1 25.7 3918 2983 4853 20.0 15.2 24.8 50388 47611 53165 Grant County WA est14_WA.txt 06NOV2015
53 27 13322 11257 15387 19.6 16.6 22.6 4146 3376 4916 28.6 23.3 33.9 2760 2199 3321 26.3 21.0 31.6 43205 40965 45445 Grays Harbor County WA est14_WA.txt 06NOV2015
53 29 7964 6639 9289 10.3 8.6 12.0 2267 1801 2733 15.4 12.2 18.6 1514 1190 1838 14.7 11.6 17.8 59358 55827 62889 Island County WA est14_WA.txt 06NOV2015
53 31 4183 3445 4921 14.1 11.6 16.6 972 770 1174 24.5 19.4 29.6 643 502 784 21.8 17.0 26.6 50964 46641 55287 Jefferson County WA est14_WA.txt 06NOV2015
53 33 230750 218081 243419 11.3 10.7 11.9 58351 52757 63945 13.6 12.3 14.9 38527 34470 42584 12.8 11.5 14.1 75738 74417 77059 King County WA est14_WA.txt 06NOV2015
53 35 27550 23819 31281 11.2 9.7 12.7 7473 6103 8843 14.4 11.8 17.0 4593 3607 5579 12.2 9.6 14.8 61898 59584 64212 Kitsap County WA est14_WA.txt 06NOV2015
53 37 7459 6329 8589 18.6 15.8 21.4 1410 1105 1715 18.7 14.7 22.7 953 742 1164 17.6 13.7 21.5 48127 44926 51328 Kittitas County WA est14_WA.txt 06NOV2015
53 39 3029 2365 3693 14.6 11.4 17.8 935 713 1157 22.6 17.2 28.0 641 481 801 20.9 15.7 26.1 49348 44723 53973 Klickitat County WA est14_WA.txt 06NOV2015
53 41 12695 10463 14927 17.1 14.1 20.1 3912 3075 4749 24.5 19.3 29.7 2600 2017 3183 22.3 17.3 27.3 44243 40710 47776 Lewis County WA est14_WA.txt 06NOV2015
53 43 1274 1002 1546 12.5 9.8 15.2 392 303 481 17.7 13.7 21.7 269 207 331 15.7 12.1 19.3 49955 45180 54730 Lincoln County WA est14_WA.txt 06NOV2015
53 45 9040 7636 10444 15.6 13.2 18.0 2660 2093 3227 23.6 18.6 28.6 1805 1406 2204 22.4 17.4 27.4 52313 49305 55321 Mason County WA est14_WA.txt 06NOV2015
53 47 9427 8024 10830 23.2 19.8 26.6 2969 2411 3527 31.5 25.6 37.4 1992 1578 2406 29.5 23.4 35.6 37782 34745 40819 Okanogan County WA est14_WA.txt 06NOV2015
53 49 3606 2929 4283 17.8 14.5 21.1 965 775 1155 28.8 23.1 34.5 674 538 810 28.0 22.4 33.6 40189 36441 43937 Pacific County WA est14_WA.txt 06NOV2015
53 51 2868 2398 3338 22.3 18.6 26.0 842 665 1019 33.1 26.2 40.0 588 463 713 30.2 23.8 36.6 42579 38373 46785 Pend Oreille County WA est14_WA.txt 06NOV2015
53 53 106432 97890 114974 13.1 12.1 14.1 34165 30111 38219 17.5 15.4 19.6 22439 19462 25416 16.2 14.1 18.3 60397 58946 61848 Pierce County WA est14_WA.txt 06NOV2015
53 55 2018 1729 2307 12.7 10.9 14.5 437 351 523 19.6 15.7 23.5 290 227 353 16.7 13.1 20.3 54721 50513 58929 San Juan County WA est14_WA.txt 06NOV2015
53 57 18627 16409 20845 15.7 13.8 17.6 6124 5231 7017 23.2 19.8 26.6 3765 3106 4424 19.8 16.3 23.3 51395 48709 54081 Skagit County WA est14_WA.txt 06NOV2015
53 59 1421 1099 1743 12.6 9.7 15.5 467 353 581 20.1 15.2 25.0 316 235 397 17.5 13.0 22.0 52673 47473 57873 Skamania County WA est14_WA.txt 06NOV2015
53 61 73930 66931 80929 9.9 9.0 10.8 22598 19490 25706 13.1 11.3 14.9 14401 12105 16697 11.5 9.7 13.3 71890 70201 73579 Snohomish County WA est14_WA.txt 06NOV2015
53 63 76910 70461 83359 16.3 14.9 17.7 21892 18858 24926 20.5 17.7 23.3 13976 11760 16192 18.2 15.3 21.1 50083 48190 51976 Spokane County WA est14_WA.txt 06NOV2015
53 65 8368 7255 9481 19.3 16.7 21.9 2668 2169 3167 28.2 22.9 33.5 1773 1413 2133 24.5 19.5 29.5 43823 40849 46797 Stevens County WA est14_WA.txt 06NOV2015
53 67 31197 27796 34598 11.9 10.6 13.2 9031 7502 10560 15.6 13.0 18.2 5706 4551 6861 13.7 10.9 16.5 61653 59047 64259 Thurston County WA est14_WA.txt 06NOV2015
53 69 558 431 685 13.9 10.7 17.1 184 141 227 26.7 20.4 33.0 130 98 162 24.3 18.3 30.3 51022 48377 53667 Wahkiakum County WA est14_WA.txt 06NOV2015
53 71 8682 7030 10334 15.7 12.7 18.7 2654 2046 3262 20.8 16.0 25.6 1762 1341 2183 19.1 14.6 23.6 49819 46459 53179 Walla Walla County WA est14_WA.txt 06NOV2015
53 73 31842 28461 35223 15.7 14.0 17.4 7304 6146 8462 17.7 14.9 20.5 4888 4054 5722 16.4 13.6 19.2 53733 51153 56313 Whatcom County WA est14_WA.txt 06NOV2015
53 75 11567 10634 12500 28.4 26.1 30.7 1181 938 1424 16.7 13.3 20.1 704 529 879 14.6 11.0 18.2 41837 37907 45767 Whitman County WA est14_WA.txt 06NOV2015
53 77 50044 45009 55079 20.5 18.4 22.6 22000 19457 24543 30.3 26.8 33.8 14492 12596 16388 28.0 24.3 31.7 44342 42101 46583 Yakima County WA est14_WA.txt 06NOV2015
89 changes: 89 additions & 0 deletions povertydata.coffee
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# fs = require('fs')
request = require('request')
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Yay! Coffeescript!

state = process.argv[2]
if state == undefined
console.log "\n\nWelcome to the US Poverty Data Portal\n\n
To retrieve poverty data for a state, pass in the two letter state abbreviation as the first argument when running the program\n
example: node povertydata.js \"WA\" \n\n
To retrieve poverty data for a particular county, pass in the county name as the second argument when running the program\n
example: node povertydata.js \"WA\" \"King\" \n\n"
path = "http://www.census.gov/did/www/saipe/downloads/estmod14/est14_#{state}.txt"
request.get(path, (error, response, body) ->
if !error && response.statusCode == 200
countyDataArray = body.toString().split("\n")
stateData = new StateData(state, countyDataArray)
county = process.argv[3]
console.log "\nSTATE POVERTY DATA FOR #{stateData.state}\n"
if county == undefined
stateData.highestPercentage()
stateData.lowestPercentage()
console.log "To learn more about a specific county, pass in the county name as a second argument when running the program again\n\n\n"
else
stateData.findCountyData(county)
else
console.log "We could not find data for #{state}. Please try again."
)

#Constructor for CountyData class, which will represent the following:
# count of people age 0-17 (i.e., children) in poverty (index 8)
# percentage of people age 0-17 (i.e., children) in poverty (index 11)
# median household income (index 20)
# county name (columns 193-238)

class CountyData
constructor: (@childrenCount, @childrenPercentage, @medianIncome, @countyName) ->

printData: () ->
console.log " #{@countyName}\n
Percentage of Children in Poverty: #{@childrenPercentage}%\n
Number of Children in Poverty: #{@childrenCount}\n
Median Household Income: #{@medianIncome}\n"

class StateData
constructor: (@state, countyDataArray) ->
@allCounties = createAllCounties(countyDataArray)

createAllCounties = (countyDataArray) ->
allCounties = []
for county in countyDataArray[1...countyDataArray.length-1]
childrenCount = county[49..56].trim()
childrenPercentage = county[76..79].trim()
medianIncome = county[133..138].trim()
countyName = county[193..237].trim()
countyData = new CountyData(childrenCount, childrenPercentage, medianIncome, countyName)
allCounties.push(countyData)
return allCounties

highestPercentage: () ->
percentageArr = @allCounties.map((county)-> county.childrenPercentage)
max = Math.max.apply(Math, percentageArr)
for county in @allCounties
if county.childrenPercentage == max.toString()
maxCounty = county
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For readability, I might recommend adding a newline at the end of each block since there is no closing end or }

console.log "County with highest percentage of childhood poverty:"
maxCounty.printData()
return maxCounty

lowestPercentage: () ->
percentageArr = @allCounties.map((county)-> county.childrenPercentage)
min = Math.min.apply(Math, percentageArr)
for county in @allCounties
if county.childrenPercentage == min.toString()
minCounty = county
console.log "County with the lowest percentage of childhood poverty:"
minCounty.printData()
return minCounty

findCountyData: (countyName) ->
countyName = countyName.replace(" County", "")
for county in @allCounties
thisCountyName = county.countyName.replace(" County", "")
if thisCountyName == countyName || thisCountyName.toLowerCase() == countyName || thisCountyName.toUpperCase() == countyName
foundCounty = county
if foundCounty
console.log "Data for #{foundCounty.countyName}:"
console.log foundCounty.printData()
else
console.log "#{countyName} County not found\nPlease select one of the counties below and pass in as a second argument when running the program"
for county in @allCounties
console.log county.countyName
140 changes: 140 additions & 0 deletions povertydata.js
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