In [9]:
f = open('US_births_1994-2003_CDC_NCHS.csv')
text = f.read()
In [10]:
text_split = text.split("\n")
In [12]:
text_split[:10]
Out[12]:
['year,month,date_of_month,day_of_week,births',
'1994,1,1,6,8096',
'1994,1,2,7,7772',
'1994,1,3,1,10142',
'1994,1,4,2,11248',
'1994,1,5,3,11053',
'1994,1,6,4,11406',
'1994,1,7,5,11251',
'1994,1,8,6,8653',
'1994,1,9,7,7910']
In [15]:
data = text_split[1:]
data
Out[15]:
['1994,1,1,6,8096',
'1994,1,2,7,7772',
'1994,1,3,1,10142',
'1994,1,4,2,11248',
'1994,1,5,3,11053',
'1994,1,6,4,11406',
'1994,1,7,5,11251',
'1994,1,8,6,8653',
'1994,1,9,7,7910',
'1994,1,10,1,10498',
'1994,1,11,2,11706',
'1994,1,12,3,11567',
'1994,1,13,4,11212',
'1994,1,14,5,11570',
'1994,1,15,6,8660',
'1994,1,16,7,8123',
'1994,1,17,1,10567',
'1994,1,18,2,11541',
'1994,1,19,3,11257',
'1994,1,20,4,11682',
'1994,1,21,5,11811',
'1994,1,22,6,8833',
'1994,1,23,7,8310',
'1994,1,24,1,11125',
'1994,1,25,2,11981',
'1994,1,26,3,11514',
'1994,1,27,4,11702',
'1994,1,28,5,11666',
'1994,1,29,6,8988',
'1994,1,30,7,8096',
'1994,1,31,1,10765',
'1994,2,1,2,11755',
'1994,2,2,3,11483',
'1994,2,3,4,11523',
'1994,2,4,5,11677',
'1994,2,5,6,8991',
'1994,2,6,7,8309',
'1994,2,7,1,10984',
'1994,2,8,2,12152',
'1994,2,9,3,11515',
'1994,2,10,4,11623',
'1994,2,11,5,11517',
'1994,2,12,6,8945',
'1994,2,13,7,8171',
'1994,2,14,1,11551',
'1994,2,15,2,12164',
'1994,2,16,3,12009',
'1994,2,17,4,11674',
'1994,2,18,5,11887',
'1994,2,19,6,8946',
'1994,2,20,7,8402',
'1994,2,21,1,10617',
'1994,2,22,2,11810',
'1994,2,23,3,11776',
'1994,2,24,4,11667',
'1994,2,25,5,11905',
'1994,2,26,6,8988',
'1994,2,27,7,8195',
'1994,2,28,1,11091',
'1994,3,1,2,12127',
'1994,3,2,3,11735',
'1994,3,3,4,11984',
'1994,3,4,5,12066',
'1994,3,5,6,9215',
'1994,3,6,7,8389',
'1994,3,7,1,10996',
'1994,3,8,2,12275',
'1994,3,9,3,11780',
'1994,3,10,4,11792',
'1994,3,11,5,11939',
'1994,3,12,6,9087',
'1994,3,13,7,8248',
'1994,3,14,1,11092',
'1994,3,15,2,12298',
'1994,3,16,3,11865',
'1994,3,17,4,11976',
'1994,3,18,5,11799',
'1994,3,19,6,8944',
'1994,3,20,7,8243',
'1994,3,21,1,11140',
'1994,3,22,2,11964',
'1994,3,23,3,11637',
'1994,3,24,4,11904',
'1994,3,25,5,11568',
'1994,3,26,6,8957',
'1994,3,27,7,8189',
'1994,3,28,1,11051',
'1994,3,29,2,12154',
'1994,3,30,3,11540',
'1994,3,31,4,11782',
'1994,4,1,5,10630',
'1994,4,2,6,8782',
'1994,4,3,7,7530',
'1994,4,4,1,10909',
'1994,4,5,2,11876',
'1994,4,6,3,11811',
'1994,4,7,4,11718',
'1994,4,8,5,11532',
'1994,4,9,6,8791',
'1994,4,10,7,8183',
'1994,4,11,1,11060',
'1994,4,12,2,12146',
'1994,4,13,3,11428',
'1994,4,14,4,11709',
'1994,4,15,5,11753',
'1994,4,16,6,8790',
'1994,4,17,7,7867',
'1994,4,18,1,11094',
'1994,4,19,2,11966',
'1994,4,20,3,11585',
'1994,4,21,4,11509',
'1994,4,22,5,11553',
'1994,4,23,6,8613',
'1994,4,24,7,8089',
'1994,4,25,1,10909',
'1994,4,26,2,12236',
'1994,4,27,3,11701',
'1994,4,28,4,11527',
'1994,4,29,5,11474',
'1994,4,30,6,8621',
'1994,5,1,7,8145',
'1994,5,2,1,11169',
'1994,5,3,2,12023',
'1994,5,4,3,11754',
'1994,5,5,4,11958',
'1994,5,6,5,11904',
'1994,5,7,6,8641',
'1994,5,8,7,8203',
'1994,5,9,1,10914',
'1994,5,10,2,11771',
'1994,5,11,3,11278',
'1994,5,12,4,11822',
'1994,5,13,5,11085',
'1994,5,14,6,8830',
'1994,5,15,7,8253',
'1994,5,16,1,11103',
'1994,5,17,2,12289',
'1994,5,18,3,11668',
'1994,5,19,4,11411',
'1994,5,20,5,11645',
'1994,5,21,6,8830',
'1994,5,22,7,8449',
'1994,5,23,1,11434',
'1994,5,24,2,12562',
'1994,5,25,3,12005',
'1994,5,26,4,11979',
'1994,5,27,5,12132',
'1994,5,28,6,8840',
'1994,5,29,7,8205',
'1994,5,30,1,8468',
'1994,5,31,2,11525',
'1994,6,1,3,12349',
'1994,6,2,4,12166',
'1994,6,3,5,11799',
'1994,6,4,6,9182',
'1994,6,5,7,8289',
'1994,6,6,1,11130',
'1994,6,7,2,12145',
'1994,6,8,3,11784',
'1994,6,9,4,11648',
'1994,6,10,5,12006',
'1994,6,11,6,8618',
'1994,6,12,7,8171',
'1994,6,13,1,10692',
'1994,6,14,2,12074',
'1994,6,15,3,11954',
'1994,6,16,4,11852',
'1994,6,17,5,11744',
'1994,6,18,6,8907',
'1994,6,19,7,8302',
'1994,6,20,1,11337',
'1994,6,21,2,12182',
'1994,6,22,3,12213',
'1994,6,23,4,11939',
'1994,6,24,5,11979',
'1994,6,25,6,9047',
'1994,6,26,7,8306',
'1994,6,27,1,11309',
'1994,6,28,2,12211',
'1994,6,29,3,12245',
'1994,6,30,4,12157',
'1994,7,1,5,12454',
'1994,7,2,6,9268',
'1994,7,3,7,8298',
'1994,7,4,1,8564',
'1994,7,5,2,11609',
'1994,7,6,3,13086',
'1994,7,7,4,13049',
'1994,7,8,5,12623',
'1994,7,9,6,9325',
'1994,7,10,7,8684',
'1994,7,11,1,11567',
'1994,7,12,2,12507',
'1994,7,13,3,12134',
'1994,7,14,4,12485',
'1994,7,15,5,12691',
'1994,7,16,6,9547',
'1994,7,17,7,8848',
'1994,7,18,1,11561',
'1994,7,19,2,12583',
'1994,7,20,3,12378',
'1994,7,21,4,12447',
'1994,7,22,5,12486',
'1994,7,23,6,9463',
'1994,7,24,7,8734',
'1994,7,25,1,11757',
'1994,7,26,2,12591',
'1994,7,27,3,12423',
'1994,7,28,4,12539',
'1994,7,29,5,12231',
'1994,7,30,6,9340',
'1994,7,31,7,8590',
'1994,8,1,1,11428',
'1994,8,2,2,12622',
'1994,8,3,3,12147',
'1994,8,4,4,12601',
'1994,8,5,5,12251',
'1994,8,6,6,9336',
'1994,8,7,7,8517',
'1994,8,8,1,11528',
'1994,8,9,2,12643',
'1994,8,10,3,12525',
'1994,8,11,4,12147',
'1994,8,12,5,12479',
'1994,8,13,6,9474',
'1994,8,14,7,8926',
'1994,8,15,1,11391',
'1994,8,16,2,12605',
'1994,8,17,3,12344',
'1994,8,18,4,12313',
'1994,8,19,5,12227',
'1994,8,20,6,9646',
'1994,8,21,7,8663',
'1994,8,22,1,11489',
'1994,8,23,2,12284',
'1994,8,24,3,12176',
'1994,8,25,4,12076',
'1994,8,26,5,12122',
'1994,8,27,6,9171',
'1994,8,28,7,8779',
'1994,8,29,1,11560',
'1994,8,30,2,12431',
'1994,8,31,3,12272',
'1994,9,1,4,12183',
'1994,9,2,5,12099',
'1994,9,3,6,9042',
'1994,9,4,7,8420',
'1994,9,5,1,8378',
'1994,9,6,2,11448',
'1994,9,7,3,12660',
'1994,9,8,4,12693',
'1994,9,9,5,12811',
'1994,9,10,6,9424',
'1994,9,11,7,8373',
'1994,9,12,1,11500',
'1994,9,13,2,12560',
'1994,9,14,3,12566',
'1994,9,15,4,12655',
'1994,9,16,5,12884',
'1994,9,17,6,9779',
'1994,9,18,7,8603',
'1994,9,19,1,11659',
'1994,9,20,2,12584',
'1994,9,21,3,12468',
'1994,9,22,4,12590',
'1994,9,23,5,12522',
'1994,9,24,6,9597',
'1994,9,25,7,8754',
'1994,9,26,1,11597',
'1994,9,27,2,12591',
'1994,9,28,3,12405',
'1994,9,29,4,12288',
'1994,9,30,5,12090',
'1994,10,1,6,9351',
'1994,10,2,7,8477',
'1994,10,3,1,11437',
'1994,10,4,2,12378',
'1994,10,5,3,12061',
'1994,10,6,4,12017',
'1994,10,7,5,12050',
'1994,10,8,6,8981',
'1994,10,9,7,8038',
'1994,10,10,1,11110',
'1994,10,11,2,12236',
'1994,10,12,3,11846',
'1994,10,13,4,11398',
'1994,10,14,5,11959',
'1994,10,15,6,9077',
'1994,10,16,7,8022',
'1994,10,17,1,11127',
'1994,10,18,2,11888',
'1994,10,19,3,11533',
'1994,10,20,4,11876',
'1994,10,21,5,11562',
'1994,10,22,6,9086',
'1994,10,23,7,7914',
'1994,10,24,1,11068',
'1994,10,25,2,12019',
'1994,10,26,3,11683',
'1994,10,27,4,11420',
'1994,10,28,5,11608',
'1994,10,29,6,8855',
'1994,10,30,7,8262',
'1994,10,31,1,9833',
'1994,11,1,2,12316',
'1994,11,2,3,11736',
'1994,11,3,4,11703',
'1994,11,4,5,11956',
'1994,11,5,6,8826',
'1994,11,6,7,8100',
'1994,11,7,1,11283',
'1994,11,8,2,11999',
'1994,11,9,3,11811',
'1994,11,10,4,11728',
'1994,11,11,5,11533',
'1994,11,12,6,8672',
'1994,11,13,7,8093',
'1994,11,14,1,11044',
'1994,11,15,2,11985',
'1994,11,16,3,11634',
'1994,11,17,4,11703',
'1994,11,18,5,11826',
'1994,11,19,6,8771',
'1994,11,20,7,8133',
'1994,11,21,1,11807',
'1994,11,22,2,12764',
'1994,11,23,3,11332',
'1994,11,24,4,8036',
'1994,11,25,5,9419',
'1994,11,26,6,8427',
'1994,11,27,7,7937',
'1994,11,28,1,11003',
'1994,11,29,2,12177',
'1994,11,30,3,11643',
'1994,12,1,4,11681',
'1994,12,2,5,11379',
'1994,12,3,6,8585',
'1994,12,4,7,7980',
'1994,12,5,1,10772',
'1994,12,6,2,11923',
'1994,12,7,3,11335',
'1994,12,8,4,11337',
'1994,12,9,5,11205',
'1994,12,10,6,8461',
'1994,12,11,7,7936',
'1994,12,12,1,11106',
'1994,12,13,2,11884',
'1994,12,14,3,11716',
'1994,12,15,4,11962',
'1994,12,16,5,12144',
'1994,12,17,6,8726',
'1994,12,18,7,8130',
'1994,12,19,1,11502',
'1994,12,20,2,12880',
'1994,12,21,3,12391',
'1994,12,22,4,11504',
'1994,12,23,5,10087',
'1994,12,24,6,7898',
'1994,12,25,7,7192',
'1994,12,26,1,8454',
'1994,12,27,2,11131',
'1994,12,28,3,12398',
'1994,12,29,4,12189',
'1994,12,30,5,12051',
'1994,12,31,6,8809',
'1995,1,1,7,7828',
'1995,1,2,1,7883',
'1995,1,3,2,9999',
'1995,1,4,3,11315',
'1995,1,5,4,11243',
'1995,1,6,5,11506',
'1995,1,7,6,8681',
'1995,1,8,7,7821',
'1995,1,9,1,10434',
'1995,1,10,2,11665',
'1995,1,11,3,11279',
'1995,1,12,4,11416',
'1995,1,13,5,11071',
'1995,1,14,6,8887',
'1995,1,15,7,7988',
'1995,1,16,1,10417',
'1995,1,17,2,11345',
'1995,1,18,3,11252',
'1995,1,19,4,11331',
'1995,1,20,5,11481',
'1995,1,21,6,8746',
'1995,1,22,7,7956',
'1995,1,23,1,10640',
'1995,1,24,2,11344',
'1995,1,25,3,11096',
'1995,1,26,4,11380',
'1995,1,27,5,11340',
'1995,1,28,6,8781',
'1995,1,29,7,8009',
'1995,1,30,1,10515',
'1995,1,31,2,11364',
'1995,2,1,3,11279',
'1995,2,2,4,11490',
'1995,2,3,5,11264',
'1995,2,4,6,8769',
'1995,2,5,7,8017',
'1995,2,6,1,10587',
'1995,2,7,2,11483',
'1995,2,8,3,11205',
'1995,2,9,4,11282',
'1995,2,10,5,11615',
'1995,2,11,6,8949',
'1995,2,12,7,8007',
'1995,2,13,1,10351',
'1995,2,14,2,12454',
'1995,2,15,3,11828',
'1995,2,16,4,11657',
'1995,2,17,5,11625',
'1995,2,18,6,8788',
'1995,2,19,7,8038',
'1995,2,20,1,10258',
'1995,2,21,2,11582',
'1995,2,22,3,11716',
'1995,2,23,4,11786',
'1995,2,24,5,11671',
'1995,2,25,6,8829',
'1995,2,26,7,8183',
'1995,2,27,1,10702',
'1995,2,28,2,11679',
'1995,3,1,3,11540',
'1995,3,2,4,11377',
'1995,3,3,5,11649',
'1995,3,4,6,8807',
'1995,3,5,7,7984',
'1995,3,6,1,10810',
'1995,3,7,2,12115',
'1995,3,8,3,11618',
'1995,3,9,4,11380',
'1995,3,10,5,11827',
'1995,3,11,6,8744',
'1995,3,12,7,7859',
'1995,3,13,1,10609',
'1995,3,14,2,11750',
'1995,3,15,3,11736',
'1995,3,16,4,11751',
'1995,3,17,5,11953',
'1995,3,18,6,8538',
'1995,3,19,7,7787',
'1995,3,20,1,10588',
'1995,3,21,2,11837',
'1995,3,22,3,11485',
'1995,3,23,4,11435',
'1995,3,24,5,11329',
'1995,3,25,6,8628',
'1995,3,26,7,7614',
'1995,3,27,1,10541',
'1995,3,28,2,11563',
'1995,3,29,3,11125',
'1995,3,30,4,11205',
'1995,3,31,5,11319',
'1995,4,1,6,8398',
'1995,4,2,7,7547',
'1995,4,3,1,10651',
'1995,4,4,2,11960',
'1995,4,5,3,11475',
'1995,4,6,4,11429',
'1995,4,7,5,11587',
'1995,4,8,6,8588',
'1995,4,9,7,7839',
'1995,4,10,1,10930',
'1995,4,11,2,11939',
'1995,4,12,3,11750',
'1995,4,13,4,11411',
'1995,4,14,5,10687',
'1995,4,15,6,8492',
'1995,4,16,7,7503',
'1995,4,17,1,10640',
'1995,4,18,2,11652',
'1995,4,19,3,11680',
'1995,4,20,4,11504',
'1995,4,21,5,11445',
'1995,4,22,6,8560',
'1995,4,23,7,7749',
'1995,4,24,1,11014',
'1995,4,25,2,11811',
'1995,4,26,3,11551',
'1995,4,27,4,11601',
'1995,4,28,5,11457',
'1995,4,29,6,8492',
'1995,4,30,7,7777',
'1995,5,1,1,11090',
'1995,5,2,2,12119',
'1995,5,3,3,11502',
'1995,5,4,4,11800',
'1995,5,5,5,11718',
'1995,5,6,6,8565',
'1995,5,7,7,7965',
'1995,5,8,1,10790',
'1995,5,9,2,11728',
'1995,5,10,3,11723',
'1995,5,11,4,11723',
'1995,5,12,5,11625',
'1995,5,13,6,8802',
'1995,5,14,7,8165',
'1995,5,15,1,11143',
'1995,5,16,2,12101',
'1995,5,17,3,12085',
'1995,5,18,4,11872',
'1995,5,19,5,11692',
'1995,5,20,6,8721',
'1995,5,21,7,8096',
'1995,5,22,1,11250',
'1995,5,23,2,12539',
'1995,5,24,3,12193',
'1995,5,25,4,12285',
'1995,5,26,5,12246',
'1995,5,27,6,8795',
'1995,5,28,7,8167',
'1995,5,29,1,8379',
'1995,5,30,2,11271',
'1995,5,31,3,12393',
'1995,6,1,4,12243',
'1995,6,2,5,11991',
'1995,6,3,6,9069',
'1995,6,4,7,8059',
'1995,6,5,1,11152',
'1995,6,6,2,12119',
'1995,6,7,3,11774',
'1995,6,8,4,12031',
'1995,6,9,5,11645',
'1995,6,10,6,8719',
'1995,6,11,7,8149',
'1995,6,12,1,11169',
'1995,6,13,2,11790',
'1995,6,14,3,11958',
'1995,6,15,4,11906',
'1995,6,16,5,11856',
'1995,6,17,6,8821',
'1995,6,18,7,8203',
'1995,6,19,1,11223',
'1995,6,20,2,12395',
'1995,6,21,3,12049',
'1995,6,22,4,11799',
'1995,6,23,5,11942',
'1995,6,24,6,9065',
'1995,6,25,7,8279',
'1995,6,26,1,11127',
'1995,6,27,2,12349',
'1995,6,28,3,12162',
'1995,6,29,4,12423',
'1995,6,30,5,12338',
'1995,7,1,6,9283',
'1995,7,2,7,8256',
'1995,7,3,1,10623',
'1995,7,4,2,9374',
'1995,7,5,3,11399',
'1995,7,6,4,12855',
'1995,7,7,5,12954',
'1995,7,8,6,9438',
'1995,7,9,7,8506',
'1995,7,10,1,11618',
'1995,7,11,2,12552',
'1995,7,12,3,12167',
'1995,7,13,4,12253',
'1995,7,14,5,12659',
'1995,7,15,6,9391',
'1995,7,16,7,8516',
'1995,7,17,1,11461',
'1995,7,18,2,12495',
'1995,7,19,3,12129',
'1995,7,20,4,12598',
'1995,7,21,5,12428',
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In [16]:
data = [data.split(',') for data in data]
data
Out[16]:
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['1994', '1', '2', '7', '7772'],
['1994', '1', '3', '1', '10142'],
['1994', '1', '4', '2', '11248'],
['1994', '1', '5', '3', '11053'],
['1994', '1', '6', '4', '11406'],
['1994', '1', '7', '5', '11251'],
['1994', '1', '8', '6', '8653'],
['1994', '1', '9', '7', '7910'],
['1994', '1', '10', '1', '10498'],
['1994', '1', '11', '2', '11706'],
['1994', '1', '12', '3', '11567'],
['1994', '1', '13', '4', '11212'],
['1994', '1', '14', '5', '11570'],
['1994', '1', '15', '6', '8660'],
['1994', '1', '16', '7', '8123'],
['1994', '1', '17', '1', '10567'],
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['1994', '1', '19', '3', '11257'],
['1994', '1', '20', '4', '11682'],
['1994', '1', '21', '5', '11811'],
['1994', '1', '22', '6', '8833'],
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['1994', '1', '24', '1', '11125'],
['1994', '1', '25', '2', '11981'],
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['1994', '1', '27', '4', '11702'],
['1994', '1', '28', '5', '11666'],
['1994', '1', '29', '6', '8988'],
['1994', '1', '30', '7', '8096'],
['1994', '1', '31', '1', '10765'],
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['1994', '2', '2', '3', '11483'],
['1994', '2', '3', '4', '11523'],
['1994', '2', '4', '5', '11677'],
['1994', '2', '5', '6', '8991'],
['1994', '2', '6', '7', '8309'],
['1994', '2', '7', '1', '10984'],
['1994', '2', '8', '2', '12152'],
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['1994', '2', '24', '4', '11667'],
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['1994', '2', '27', '7', '8195'],
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['1994', '4', '1', '5', '10630'],
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In [8]:
text = open('US_births_1994-2003_CDC_NCHS.csv').read()
string_list = text.split("\n")
string_list[1:]
Out[8]:
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'1994,1,14,5,11570',
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'1994,1,18,2,11541',
'1994,1,19,3,11257',
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'1996,1,1,1,7683',
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'1996,3,1,5,11785',
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'1996,3,3,7,7885',
'1996,3,4,1,10586',
'1996,3,5,2,11475',
'1996,3,6,3,11535',
'1996,3,7,4,11446',
'1996,3,8,5,11272',
'1996,3,9,6,8611',
'1996,3,10,7,7512',
'1996,3,11,1,10668',
'1996,3,12,2,11623',
'1996,3,13,3,11338',
'1996,3,14,4,11578',
'1996,3,15,5,11860',
'1996,3,16,6,8691',
'1996,3,17,7,8010',
'1996,3,18,1,10812',
'1996,3,19,2,11764',
'1996,3,20,3,11482',
'1996,3,21,4,11653',
'1996,3,22,5,11727',
'1996,3,23,6,8534',
'1996,3,24,7,8002',
'1996,3,25,1,10662',
'1996,3,26,2,11764',
'1996,3,27,3,11532',
'1996,3,28,4,11728',
'1996,3,29,5,11659',
'1996,3,30,6,8712',
'1996,3,31,7,7956',
'1996,4,1,1,10173',
'1996,4,2,2,12055',
'1996,4,3,3,11622',
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'1996,4,5,5,10985',
'1996,4,6,6,8354',
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'1996,4,20,6,8451',
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'1996,5,1,3,11390',
'1996,5,2,4,11397',
'1996,5,3,5,11011',
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'1996,5,11,6,8495',
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'1996,5,16,4,11637',
'1996,5,17,5,11370',
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'1996,5,20,1,11073',
'1996,5,21,2,11962',
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'1996,5,25,6,8666',
'1996,5,26,7,7746',
'1996,5,27,1,8034',
'1996,5,28,2,11151',
'1996,5,29,3,12119',
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'1996,6,6,4,11849',
'1996,6,7,5,11750',
'1996,6,8,6,8739',
'1996,6,9,7,8013',
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'1996,6,21,5,11759',
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'1996,6,26,3,12154',
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'1996,7,13,6,9152',
'1996,7,14,7,8358',
'1996,7,15,1,11421',
'1996,7,16,2,12619',
'1996,7,17,3,12660',
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'1996,8,27,2,12573',
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'1996,9,6,5,12629',
'1996,9,7,6,9396',
'1996,9,8,7,8354',
'1996,9,9,1,11543',
'1996,9,10,2,12662',
'1996,9,11,3,12420',
'1996,9,12,4,12486',
'1996,9,13,5,12019',
'1996,9,14,6,9323',
'1996,9,15,7,8561',
'1996,9,16,1,12107',
'1996,9,17,2,13063',
'1996,9,18,3,12630',
'1996,9,19,4,12535',
'1996,9,20,5,12754',
'1996,9,21,6,9492',
'1996,9,22,7,8694',
'1996,9,23,1,11605',
'1996,9,24,2,12910',
'1996,9,25,3,12768',
'1996,9,26,4,12684',
...]
In [6]:
def read_csv(string):
text = open(string).read()
string_list = text.split("\n")
string_list = string_list[1:]
final_list = []
for element in string_list:
int_fields = []
string_fields = element.split(",")
for element_string in string_fields:
int_fields.append(int(element_string))
final_list.append(int_fields)
return final_list
In [7]:
cdc_list = read_csv('US_births_1994-2003_CDC_NCHS.csv')
print(cdc_list[:10])
[[1994, 1, 1, 6, 8096], [1994, 1, 2, 7, 7772], [1994, 1, 3, 1, 10142], [1994, 1, 4, 2, 11248], [1994, 1, 5, 3, 11053], [1994, 1, 6, 4, 11406], [1994, 1, 7, 5, 11251], [1994, 1, 8, 6, 8653], [1994, 1, 9, 7, 7910], [1994, 1, 10, 1, 10498]]
In [8]:
def month_births(lists):
births_per_month = {}
for el in lists:
month = el[1]
births = el[4]
if month in births_per_month:
births_per_month[month] += births
else:
births_per_month[month] = births
return births_per_month
In [9]:
cdc_month_births = month_births(cdc_list)
cdc_month_births
Out[9]:
{1: 3232517,
2: 3018140,
3: 3322069,
4: 3185314,
5: 3350907,
6: 3296530,
7: 3498783,
8: 3525858,
9: 3439698,
10: 3378814,
11: 3171647,
12: 3301860}
In [10]:
def dow_births(lists):
births_day = {}
for el in lists:
day = el[3]
births = el[4]
if day in births_day:
births_day[day] += births
else:
births_day[day] = births
return births_day
In [11]:
cdc_day_births = dow_births(cdc_list)
cdc_day_births
Out[11]:
{1: 5789166,
2: 6446196,
3: 6322855,
4: 6288429,
5: 6233657,
6: 4562111,
7: 4079723}
In [12]:
# generic function combining all the above
def calc_counts(data, column):
return_dict = {}
for el in data:
dat = el[column]
births = el[4]
if dat in return_dict:
return_dict[dat] += births
else:
return_dict[dat] = births
return return_dict
In [16]:
cdc_year_births, cdc_month_births, cdc_dom_births, cdc_dow_births = (calc_counts(cdc_list, 0), calc_counts(cdc_list, 1), calc_counts(cdc_list, 2), calc_counts(cdc_list, 3))
In [17]:
cdc_year_births, cdc_month_births, cdc_dom_births, cdc_dow_births
Out[17]:
({1994: 3952767,
1995: 3899589,
1996: 3891494,
1997: 3880894,
1998: 3941553,
1999: 3959417,
2000: 4058814,
2001: 4025933,
2002: 4021726,
2003: 4089950},
{1: 3232517,
2: 3018140,
3: 3322069,
4: 3185314,
5: 3350907,
6: 3296530,
7: 3498783,
8: 3525858,
9: 3439698,
10: 3378814,
11: 3171647,
12: 3301860},
{1: 1276557,
2: 1288739,
3: 1304499,
4: 1288154,
5: 1299953,
6: 1304474,
7: 1310459,
8: 1312297,
9: 1303292,
10: 1320764,
11: 1314361,
12: 1318437,
13: 1277684,
14: 1320153,
15: 1319171,
16: 1315192,
17: 1324953,
18: 1326855,
19: 1318727,
20: 1324821,
21: 1322897,
22: 1317381,
23: 1293290,
24: 1288083,
25: 1272116,
26: 1284796,
27: 1294395,
28: 1307685,
29: 1223161,
30: 1202095,
31: 746696},
{1: 5789166,
2: 6446196,
3: 6322855,
4: 6288429,
5: 6233657,
6: 4562111,
7: 4079723})
In [22]:
def minmax(dictionary):
#returns (max,min) tuple
return (max(dictionary.values()), min(dictionary.values()))
In [25]:
print(minmax(cdc_year_births))
minmax(cdc_month_births)
(4089950, 3880894)
Out[25]:
(3525858, 3018140)
In [ ]:
Content source: jaabberwocky/jaabberwocky.github.io
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