Frequencies for first 10,000 rows of generic_drug_effec variable in nadac datas Correspondi | ng Generic | Drug | Effective | Date | Freq. Percent Cum. ------------+----------------------------------- 21nov2013 | 53 0.53 0.53 18dec2013 | 103 1.03 1.56 22jan2014 | 72 0.72 2.28 19feb2014 | 104 1.04 3.32 19mar2014 | 127 1.27 4.59 23apr2014 | 102 1.02 5.61 21may2014 | 100 1.00 6.61 18jun2014 | 135 1.35 7.96 23jul2014 | 106 1.06 9.02 20aug2014 | 104 1.04 10.06 17sep2014 | 130 1.30 11.36 22oct2014 | 104 1.04 12.40 19nov2014 | 104 1.04 13.44 17dec2014 | 134 1.34 14.78 21jan2015 | 92 0.92 15.70 18feb2015 | 84 0.84 16.54 18mar2015 | 98 0.98 17.52 22apr2015 | 76 0.76 18.28 20may2015 | 72 0.72 19.00 17jun2015 | 90 0.90 19.90 22jul2015 | 68 0.68 20.58 19aug2015 | 85 0.85 21.43 23sep2015 | 72 0.72 22.15 21oct2015 | 72 0.72 22.87 18nov2015 | 90 0.90 23.77 23dec2015 | 72 0.72 24.49 20jan2016 | 72 0.72 25.21 17feb2016 | 90 0.90 26.11 23mar2016 | 72 0.72 26.83 20apr2016 | 72 0.72 27.55 18may2016 | 95 0.95 28.50 22jun2016 | 72 0.72 29.22 20jul2016 | 72 0.72 29.94 17aug2016 | 86 0.86 30.80 21sep2016 | 64 0.64 31.44 19oct2016 | 70 0.70 32.14 23nov2016 | 56 0.56 32.70 21dec2016 | 56 0.56 33.26 18jan2017 | 70 0.70 33.96 22feb2017 | 69 0.69 34.65 22mar2017 | 52 0.52 35.17 19apr2017 | 48 0.48 35.65 17may2017 | 45 0.45 36.10 07jun2017 | 2 0.02 36.12 21jun2017 | 40 0.40 36.52 05jul2017 | 2 0.02 36.54 19jul2017 | 45 0.45 36.99 26jul2017 | 4 0.04 37.03 23aug2017 | 72 0.72 37.75 20sep2017 | 76 0.76 38.51 18oct2017 | 95 0.95 39.46 22nov2017 | 110 1.10 40.56 20dec2017 | 82 0.82 41.38 17jan2018 | 102 1.02 42.40 24jan2018 | 10 0.10 42.50 07feb2018 | 2 0.02 42.52 14feb2018 | 1 0.01 42.53 21feb2018 | 42 0.42 42.95 . | 5,705 57.05 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 1 Mar 2018