Frequencies for first 10,000 rows of effective_date variable in nadac20170524 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 | 27 0.27 0.65 23jun2016 | 13 0.13 0.78 01jul2016 | 4 0.04 0.82 12jul2016 | 1 0.01 0.83 13jul2016 | 1 0.01 0.84 20jul2016 | 33 0.33 1.17 10aug2016 | 1 0.01 1.18 17aug2016 | 49 0.49 1.67 26aug2016 | 1 0.01 1.68 02sep2016 | 2 0.02 1.70 21sep2016 | 42 0.42 2.12 23sep2016 | 5 0.05 2.17 01oct2016 | 1 0.01 2.18 12oct2016 | 1 0.01 2.19 13oct2016 | 3 0.03 2.22 19oct2016 | 112 1.12 3.34 09nov2016 | 1 0.01 3.35 23nov2016 | 70 0.70 4.05 01dec2016 | 2 0.02 4.07 14dec2016 | 4 0.04 4.11 21dec2016 | 85 0.85 4.96 26dec2016 | 15 0.15 5.11 31dec2016 | 7 0.07 5.18 01jan2017 | 290 2.90 8.08 02jan2017 | 2 0.02 8.10 04jan2017 | 78 0.78 8.88 06jan2017 | 18 0.18 9.06 09jan2017 | 4 0.04 9.10 16jan2017 | 1 0.01 9.11 18jan2017 | 99 0.99 10.10 19jan2017 | 1 0.01 10.11 23jan2017 | 3 0.03 10.14 08feb2017 | 2 0.02 10.16 17feb2017 | 1 0.01 10.17 22feb2017 | 478 4.78 14.95 23feb2017 | 2 0.02 14.97 02mar2017 | 1 0.01 14.98 08mar2017 | 4 0.04 15.02 15mar2017 | 3 0.03 15.05 17mar2017 | 1 0.01 15.06 22mar2017 | 258 2.58 17.64 23mar2017 | 3 0.03 17.67 29mar2017 | 2 0.02 17.69 01apr2017 | 2 0.02 17.71 03apr2017 | 5 0.05 17.76 05apr2017 | 8 0.08 17.84 07apr2017 | 4 0.04 17.88 12apr2017 | 4 0.04 17.92 19apr2017 | 304 3.04 20.96 24apr2017 | 11 0.11 21.07 26apr2017 | 1 0.01 21.08 02may2017 | 40 0.40 21.48 03may2017 | 7 0.07 21.55 10may2017 | 5 0.05 21.60 17may2017 | 7,836 78.36 99.96 24may2017 | 4 0.04 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 10 Feb 2018