Frequencies for first 10,000 rows of effective_date variable in nadac20170614 dataset : Effective | Date of the | NADAC Per | Unit Cost | Freq. Percent Cum. ------------+----------------------------------- 18may2016 | 33 0.33 0.33 01jun2016 | 1 0.01 0.34 15jun2016 | 4 0.04 0.38 22jun2016 | 26 0.26 0.64 23jun2016 | 1 0.01 0.65 01jul2016 | 4 0.04 0.69 12jul2016 | 1 0.01 0.70 13jul2016 | 1 0.01 0.71 20jul2016 | 31 0.31 1.02 10aug2016 | 1 0.01 1.03 17aug2016 | 48 0.48 1.51 26aug2016 | 1 0.01 1.52 02sep2016 | 2 0.02 1.54 21sep2016 | 39 0.39 1.93 23sep2016 | 5 0.05 1.98 01oct2016 | 1 0.01 1.99 12oct2016 | 1 0.01 2.00 13oct2016 | 3 0.03 2.03 19oct2016 | 108 1.08 3.11 09nov2016 | 1 0.01 3.12 23nov2016 | 66 0.66 3.78 01dec2016 | 2 0.02 3.80 14dec2016 | 4 0.04 3.84 21dec2016 | 83 0.83 4.67 26dec2016 | 15 0.15 4.82 31dec2016 | 7 0.07 4.89 01jan2017 | 148 1.48 6.37 02jan2017 | 2 0.02 6.39 04jan2017 | 77 0.77 7.16 06jan2017 | 18 0.18 7.34 09jan2017 | 4 0.04 7.38 16jan2017 | 1 0.01 7.39 18jan2017 | 93 0.93 8.32 19jan2017 | 1 0.01 8.33 23jan2017 | 3 0.03 8.36 08feb2017 | 2 0.02 8.38 17feb2017 | 1 0.01 8.39 22feb2017 | 387 3.87 12.26 23feb2017 | 2 0.02 12.28 02mar2017 | 1 0.01 12.29 08mar2017 | 4 0.04 12.33 15mar2017 | 3 0.03 12.36 17mar2017 | 1 0.01 12.37 22mar2017 | 229 2.29 14.66 23mar2017 | 3 0.03 14.69 29mar2017 | 2 0.02 14.71 01apr2017 | 3 0.03 14.74 03apr2017 | 5 0.05 14.79 05apr2017 | 8 0.08 14.87 07apr2017 | 4 0.04 14.91 12apr2017 | 4 0.04 14.95 19apr2017 | 273 2.73 17.68 24apr2017 | 11 0.11 17.79 26apr2017 | 1 0.01 17.80 02may2017 | 40 0.40 18.20 03may2017 | 7 0.07 18.27 10may2017 | 5 0.05 18.32 16may2017 | 2 0.02 18.34 17may2017 | 7,778 77.78 96.12 24may2017 | 4 0.04 96.16 31may2017 | 24 0.24 96.40 01jun2017 | 235 2.35 98.75 07jun2017 | 16 0.16 98.91 08jun2017 | 66 0.66 99.57 14jun2017 | 43 0.43 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 10 Feb 2018