Frequencies for first 10,000 rows of effectivedate variable in nadacc dataset : Effective | Date of the | NADAC Per | Unit Cost | Freq. Percent Cum. ------------+----------------------------------- 01jun2017 | 137 1.37 1.37 08jun2017 | 54 0.54 1.91 21jun2017 | 130 1.30 3.21 28jun2017 | 1 0.01 3.22 01jul2017 | 8 0.08 3.30 05jul2017 | 2 0.02 3.32 12jul2017 | 2 0.02 3.34 19jul2017 | 175 1.75 5.09 20jul2017 | 2 0.02 5.11 27jul2017 | 1 0.01 5.12 23aug2017 | 106 1.06 6.18 06sep2017 | 1 0.01 6.19 13sep2017 | 2 0.02 6.21 20sep2017 | 125 1.25 7.46 28sep2017 | 2 0.02 7.48 29sep2017 | 1 0.01 7.49 18oct2017 | 108 1.08 8.57 25oct2017 | 1 0.01 8.58 01nov2017 | 2 0.02 8.60 15nov2017 | 2 0.02 8.62 22nov2017 | 168 1.68 10.30 29nov2017 | 1 0.01 10.31 06dec2017 | 1 0.01 10.32 15dec2017 | 6 0.06 10.38 20dec2017 | 117 1.17 11.55 21dec2017 | 1 0.01 11.56 22dec2017 | 9 0.09 11.65 29dec2017 | 3 0.03 11.68 01jan2018 | 229 2.29 13.97 04jan2018 | 7 0.07 14.04 05jan2018 | 43 0.43 14.47 10jan2018 | 1 0.01 14.48 17jan2018 | 110 1.10 15.58 07feb2018 | 1 0.01 15.59 14feb2018 | 2 0.02 15.61 21feb2018 | 105 1.05 16.66 . | 8,334 83.34 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 1 Mar 2018