I have cleaned my data (Census of Governments in the United States) and want to create a table with the total amount by category as well as the percentage of each grouping in a table. When I use the command table GovTypeName2 Year, stat (count Total) it isn't showing the total for some reach (only the count of the label I think?). Here's a data snapshot:
Code:
* Example generated by -dataex-. For more info, type help dataex clear input long(GovType GovTypeName GovTypeName2 Total Year) 1 1 1 38 10 1 1 1 33 15 1 1 1 39 6 1 1 1 33 16 1 1 1 34 13 1 1 1 38 11 1 1 1 35 12 1 1 1 37 7 1 1 1 33 14 1 1 1 36 8 1 1 1 37 9 2 1 2 54 12 2 1 2 52 14 2 1 2 47 6 2 1 2 51 8 2 1 2 49 16 2 1 2 55 10 2 1 2 48 7 2 1 2 53 9 2 1 2 57 13 2 1 2 50 15 2 1 2 56 11 3 1 3 29 16 3 1 3 24 8 3 1 3 25 9 3 1 3 30 13 3 1 3 26 10 3 1 3 31 15 3 1 3 27 11 3 1 3 28 12 3 1 3 22 7 3 1 3 21 6 3 1 3 32 14 4 1 4 5 12 4 1 4 1 16 4 1 4 12 7 4 1 4 13 6 4 1 4 8 10 4 1 4 3 15 4 1 4 10 8 4 1 4 4 14 4 1 4 9 9 4 1 4 7 11 4 1 4 6 13 end label values GovType GovType label def GovType 1 "1", modify label def GovType 2 "2", modify label def GovType 3 "3", modify label def GovType 4 "4", modify label values GovTypeName GovTypeName label def GovTypeName 1 "Government Organization", modify label values GovTypeName2 GovTypeName2 label def GovTypeName2 1 "Total Local Government Units - County Governments", modify label def GovTypeName2 2 "Total Local Government Units - Subcounty Governments", modify label def GovTypeName2 3 "Total Local Government Units - Subcounty Governments - Municipal Governments", modify label def GovTypeName2 4 "Total Local Government Units - Subcounty Governments - Township Governments", modify label values Total Total label def Total 1 "16214", modify label def Total 3 "16253", modify label def Total 4 "16360", modify label def Total 5 "16504", modify label def Total 6 "16519", modify label def Total 7 "16629", modify label def Total 8 "16656", modify label def Total 9 "16691", modify label def Total 10 "16734", modify label def Total 12 "16822", modify label def Total 13 "16991", modify label def Total 21 "18517", modify label def Total 22 "18862", modify label def Total 24 "19076", modify label def Total 25 "19200", modify label def Total 26 "19279", modify label def Total 27 "19372", modify label def Total 28 "19429", modify label def Total 29 "19491", modify label def Total 30 "19492", modify label def Total 31 "19495", modify label def Total 32 "19519", modify label def Total 33 "3031", modify label def Total 34 "3033", modify label def Total 35 "3034", modify label def Total 36 "3041", modify label def Total 37 "3042", modify label def Total 38 "3043", modify label def Total 39 "3044", modify label def Total 47 "35508", modify label def Total 48 "35684", modify label def Total 49 "35705", modify label def Total 50 "35748", modify label def Total 51 "35810", modify label def Total 52 "35879", modify label def Total 53 "35891", modify label def Total 54 "35933", modify label def Total 55 "35935", modify label def Total 56 "36001", modify label def Total 57 "36011", modify label values Year Year2 label def Year2 6 "1972", modify label def Year2 7 "1977", modify label def Year2 8 "1982", modify label def Year2 9 "1987", modify label def Year2 10 "1992", modify label def Year2 11 "1997", modify label def Year2 12 "2002", modify label def Year2 13 "2007", modify label def Year2 14 "2012", modify label def Year2 15 "2017", modify label def Year2 16 "2022", modify

Comment