Frequencies for first 10,000 rows of effective_date variable in nadac20170816 dataset : Effective | Date of the | NADAC Per | Unit Cost | Freq. Percent Cum. ------------+----------------------------------- 20jul2016 | 31 0.31 0.31 10aug2016 | 1 0.01 0.32 17aug2016 | 45 0.45 0.77 21sep2016 | 22 0.22 0.99 23sep2016 | 1 0.01 1.00 01oct2016 | 1 0.01 1.01 12oct2016 | 1 0.01 1.02 13oct2016 | 3 0.03 1.05 19oct2016 | 74 0.74 1.79 09nov2016 | 1 0.01 1.80 23nov2016 | 51 0.51 2.31 01dec2016 | 2 0.02 2.33 14dec2016 | 4 0.04 2.37 21dec2016 | 68 0.68 3.05 26dec2016 | 13 0.13 3.18 31dec2016 | 7 0.07 3.25 01jan2017 | 142 1.42 4.67 02jan2017 | 2 0.02 4.69 04jan2017 | 38 0.38 5.07 06jan2017 | 18 0.18 5.25 09jan2017 | 2 0.02 5.27 16jan2017 | 1 0.01 5.28 18jan2017 | 78 0.78 6.06 19jan2017 | 1 0.01 6.07 23jan2017 | 2 0.02 6.09 17feb2017 | 1 0.01 6.10 22feb2017 | 321 3.21 9.31 23feb2017 | 2 0.02 9.33 02mar2017 | 1 0.01 9.34 08mar2017 | 3 0.03 9.37 15mar2017 | 1 0.01 9.38 17mar2017 | 1 0.01 9.39 22mar2017 | 154 1.54 10.93 23mar2017 | 3 0.03 10.96 29mar2017 | 2 0.02 10.98 01apr2017 | 3 0.03 11.01 03apr2017 | 4 0.04 11.05 07apr2017 | 4 0.04 11.09 12apr2017 | 2 0.02 11.11 19apr2017 | 115 1.15 12.26 24apr2017 | 11 0.11 12.37 26apr2017 | 1 0.01 12.38 02may2017 | 5 0.05 12.43 03may2017 | 3 0.03 12.46 10may2017 | 2 0.02 12.48 16may2017 | 1 0.01 12.49 17may2017 | 193 1.93 14.42 31may2017 | 3 0.03 14.45 01jun2017 | 149 1.49 15.94 07jun2017 | 3 0.03 15.97 08jun2017 | 17 0.17 16.14 21jun2017 | 255 2.55 18.69 28jun2017 | 1 0.01 18.70 01jul2017 | 8 0.08 18.78 03jul2017 | 1 0.01 18.79 05jul2017 | 7 0.07 18.86 06jul2017 | 1 0.01 18.87 11jul2017 | 87 0.87 19.74 12jul2017 | 10 0.10 19.84 14jul2017 | 1 0.01 19.85 19jul2017 | 7,905 79.05 98.90 20jul2017 | 2 0.02 98.92 26jul2017 | 14 0.14 99.06 27jul2017 | 1 0.01 99.07 01aug2017 | 1 0.01 99.08 02aug2017 | 28 0.28 99.36 09aug2017 | 25 0.25 99.61 16aug2017 | 39 0.39 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 10 Feb 2018