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anilgvdbm
‎04-18-2022
  • 82 Posts
  • 6 Likes Given
  • 0 Solutions
  • 16 Likes Received
About
I had completed my under Graduation in the Agriculture sector, and I did My MBA in Food Sector in during MBA course i learned SAS and Statistics and after that I joined in International Research Institute under CGIAR now i am handling agriculture and Consumption expenditure large datasets in SAS 9.3 software. and about my work extracts the huge data from text format to SAS and doing reports , tabulations statistical modelling etc. Writing programs in SAS

Re: Regarding Proc reg

by Quartz | Level 8 in SAS Procedures
‎12-12-2014 03:58 AM
‎12-12-2014 03:58 AM
Hi Ravi, Here i didn't find the attachement option so i copied and paste here please convert this to excel. thanks Anil under_weight HHID HV003 HV004 HV005 HV006 HV007 HV008 HV009 HV010 HV011 HV012 HV013 HV014 HV015 HV016 HV017 HV019 HV020 HV023 HV024 wealth index 4 10  8 100 2 11 1107121 11 92 1115 7 1 0 7 5 2 1 18 1 3 1 0 10 3 3 10 15 100 2 18 1107121 11 92 1115 7 1 0 7 7 2 1 5 2 3 1 0 10 2 2 10 17 100 2 20 1107121 11 92 1115 3 1 0 3 3 0 1 7 3 2 1 0 10 3 2 10 76 100 2 79 1107121 2 93 1118 2 1 0 2 2 0 1 5 1 2 1 0 10 3 2 10 89 100 2 92 1107121 1 93 1117 6 1 0 5 6 1 1 8 1 1 1 0 10 5 2 10 91 100 2 94 1107121 2 93 1118 5 1 0 5 3 1 1 14 1 3 1 0 10 4 2 10105 100 2 108 1107121 2 93 1118 4 1 0 4 4 0 1 13 1 3 1 0 10 5 2 10126 100 2 129 1107121 11 92 1115 6 0 0 6 6 0 1 17 1 1 1 0 10 4 2 10126 100 2 129 1107121 11 92 1115 6 0 0 6 6 0 1 17 1 1 1 0 10 4 2 10126 100 2 129 1107121 11 92 1115 6 0 0 6 6 0 1 17 1 1 1 0 10 4 1 10 24 101 2 27 1107121 12 92 1116 5 1 0 5 5 0 1 9 1 3 1 0 10 4 2 10 25 101 2 28 1107121 12 92 1116 7 2 0 6 7 0 1 11 1 3 1 0 10 3 2 10 37 101 2 40 1107121 1 93 1117 6 1 0 6 6 1 1 5 1 2 1 0 10 2 2 10 49 101 2 52 1107121 1 93 1117 8 1 0 8 8 0 1 25 1 1 1 0 10 4 2 10 51 101 2 54 1107121 1 93 1117 5 1 0 5 5 0 1 30 1 1 1 0 10 4 2 10 59 101 2 62 1107121 1 93 1117 4 1 0 4 4 0 1 9 1 1 1 0 10 3 2 10 87  10 12 90 1107121 2 93 1118 13 2 0 13 13 3 1 23 1 2 1 0 10 4 2 10 87  10 12 90 1107121 2 93 1118 13 2 0 13 13 3 1 23 1 2 1 0 10 4 2 10 87  10 12 90 1107121 2 93 1118 13 2 0 13 13 3 1 23 1 2 1 0 10 4 2 10 87  10 12 90 1107121 2 93 1118 13 2 0 13 13 3 1 23 1 2 1 0 10 4 4 10 19  10 2 22 1107121 11 92 1115 4 1 0 4 4 0 1 18 3 1 1 0 10 4 4 10 48  10 2 51 1107121 1 93 1117 7 2 0 7 7 2 1 28 1 2 1 0 10 3 3 10 49  10 2 52 1107121 1 93 1117 7 1 0 7 7 2 1 25 1 1 1 0 10 3 3 10 74  10 2 77 1107121 1 93 1117 7 1 0 7 7 2 1 26 1 1 1 0 10 1 4 10 93  10 2 96 1107121 2 93 1118 8 1 0 8 8 2 1 20 1 3 1 0 10 4 2 10126  10 2 129 1107121 11 92 1115 8 1 0 8 8 3 1 14 1 1 1 0 10 4 4 10138  10 2 141 1107121 1 93 1117 6 1 0 6 6 0 1 20 1 1 1 0 10 5 4 10138  10 2 141 1107121 1 93 1117 6 1 0 6 6 0 1 20 1 1 1 0 10 5 4 10138  10 2 141 1107121 1 93 1117 6 1 0 6 6 0 1 20 1 1 1 0 10 5 4 10138  10 2 141 1107121 1 93 1117 6 1 0 6 6 0 1 20 1 1 1 0 10 5 4 10138  10 2 141 1107121 1 93 1117 6 1 0 6 6 0 1 20 1 1 1 0 10 5 2 10 56 102 2 59 1107121 11 92 1115 5 1 0 5 5 0 1 26 1 1 1 0 10 1 3 10 67 102 2 70 1107121 12 92 1116 3 1 0 3 3 1 1 17 1 1 1 0 10 2 2 10 87 102 2 90 1107121 2 93 1118 6 1 0 6 6 0 1 23 1 2 1 0 10 5 3 10143 102 2 146 1107121 1 93 1117 4 1 0 4 4 2 1 16 1 1 1 0 10 5 3 10143 102 2 146 1107121 1 93 1117 4 1 0 4 4 2 1 16 1 1 1 0 10 5 3 10143 102 2 146 1107121 1 93 1117 4 1 0 4 4 2 1 16 1 1 1 0 10 5 3 10143 102 2 146 1107121 1 93 1117 4 1 0 4 4 2 1 16 1 1 1 0 10 5 3 10143 102 2 146 1107121 1 93 1117 4 1 0 4 4 2 1 16 1 1 1 0 10 5 3 10 28 102 9 31 1107121 12 92 1116 12 2 0 12 12 1 1 2 1 2 1 0 10 4 4 10  3  10 3 6 1107121 11 92 1115 5 2 0 5 5 0 1 24 1 4 1 0 10 2 3 10125  10 3 128 1107121 11 92 1115 4 1 0 2 4 0 1 13 1 1 1 0 10 5 4 10  6 103 2 9 1107121 11 92 1115 7 3 0 7 7 2 1 28 1 1 1 0 10 1 1 10 81 103 4 84 1107121 1 93 1117 5 1 0 5 3 0 1 29 1 1 1 0 10 4 3 10 81 103 4 84 1107121 1 93 1117 5 1 0 5 3 0 1 29 1 1 1 0 10 4 2 10116  10 4 119 1107121 11 92 1115 6 1 0 6 6 2 1 7 1 2 1 0 10 3 2 10141  10 4 144 1107121 2 93 1118 11 2 0 11 11 1 1 4 1 2 1 0 10 5 2 10141  10 4 144 1107121 2 93 1118 11 2 0 11 11 1 1 4 1 2 1 0 10 5 2 10141  10 4 144 1107121 2 93 1118 11 2 0 11 11 1 1 4 1 2 1 0 10 5 2 10 18 104 1 21 1107121 12 92 1116 3 1 0 3 3 0 1 6 1 2 1 0 10 3 2 10 71 104 1 74 1107121 1 93 1117 5 1 0 5 5 3 1 2 1 1 1 0 10 2 2 10 78 104 1 81 1107121 1 93 1117 4 1 0 4 4 1 1 28 1 1 1 0 10 2 2 10 90 104 1 93 1107121 2 93 1118 6 1 0 6 4 0 1 7 1 2 1 0 10 5 2 10128 104 1 131 1107121 11 92 1115 4 0 0 4 4 0 1 10 1 2 1 0 10 3 2 10137 104 1 140 1107121 1 93 1117 3 1 0 3 3 1 1 19 1 2 1 0 10 4 3 10 27 104 2 30 1107121 11 92 1115 7 2 0 7 7 2 1 27 1 5 1 0 10 3 2 10 33 104 2 36 1107121 12 92 1116 6 2 0 6 6 2 1 30 1 1 1 0 10 3 4 10 34 104 2 37 1107121 1 93 1117 5 1 0 5 3 2 1 7 1 1 1 0 10 4 3 10 39 104 2 42 1107121 12 92 1116 5 1 0 5 3 0 1 21 1 3 1 0 10 4 3 10 53 104 2 56 1107121 1 93 1117 3 1 0 3 3 0 1 28 1 2 1 0 10 4 3 10 66 104 2 69 1107121 12 92 1116 5 1 0 5 5 1 1 26 1 1 1 0 10 2 3 10 80 104 2 83 1107121 2 93 1118 8 1 0 6 8 1 1 9 1 3 1 0 10 1 3 10 97 104 2 100 1107121 2 93 1118 4 1 0 4 4 1 1 23 1 2 1 0 10 5 4 10105 104 2 108 1107121 2 93 1118 4 1 0 4 4 1 1 14 1 3 1 0 10 4 4 10119 104 2 122 1107121 12 92 1116 5 1 0 5 5 0 1 29 1 3 1 0 10 5 4 10122 104 2 125 1107121 12 92 1116 3 1 0 3 3 1 1 4 1 2 1 0 10 5 4 10142 104 2 145 1107121 2 93 1118 5 1 0 5 5 2 1 3 1 2 1 0 10 4 4 10144 104 2 147 1107121 1 93 1117 7 1 0 7 7 0 1 16 1 1 1 0 10 4 4 10147 104 2 150 1107121 1 93 1117 4 0 0 4 2 2 1 16 1 2 1 0 10 3 4 10148 104 2 151 1107121 1 93 1117 6 1 0 6 6 0 1 18 1 2 1 0 10 5 4 10148 104 2 151 1107121 1 93 1117 6 1 0 6 6 0 1 18 1 2 1 0 10 5 2 10  2 104 3 5 1107121 11 92 1115 4 2 0 2 4 0 1 5 1 3 1 0 10 2 2 10  2 104 3 5 1107121 11 92 1115 4 2 0 2 4 0 1 5 1 3 1 0 10 2 2 10 52 104 4 55 1107121 1 93 1117 10 1 0 10 8 1 1 23 1 5 1 0 10 4 4 10 52 104 4 55 1107121 1 93 1117 10 1 0 10 8 1 1 23 1 5 1 0 10 4 4 10 52 104 4 55 1107121 1 93 1117 10 1 0 10 8 1 1 23 1 5 1 0 10 4 2 10 55 105 2 58 1107121 11 92 1115 6 1 0 6 6 0 1 28 1 1 1 0 10 1 1 10 79 105 2 82 1107121 1 93 1117 6 1 0 6 5 1 1 29 1 1 1 0 10 1 1 10 84 105 2 87 1107121 2 93 1118 4 1 0 4 4 0 1 10 1 3 1 0 10 3 1 10 94 105 2 97 1107121 2 93 1118 3 1 0 3 3 1 1 17 1 2 1 0 10 3 1 10126 105 2 129 1107121 11 92 1115 8 1 0 8 5 0 1 17 1 1 1 0 10 4 1 10133 105 2 136 1107121 12 92 1116 3 1 0 3 2 0 1 4 3 3 1 0 10 5 1 10138 105 2 141 1107121 1 93 1117 4 1 0 4 4 0 1 22 1 1 1 0 10 5 1 10138 105 2 141 1107121 1 93 1117 4 1 0 4 4 0 1 22 1 1 1 0 10 5 1 10138 105 2 141 1107121 1 93 1117 4 1 0 4 4 0 1 22 1 1 1 0 10 5 1 10138 105 2 141 1107121 1 93 1117 4 1 0 4 4 0 1 22 1 1 1 0 10 5 2 10  8 106 2 11 1107121 11 92 1115 5 1 0 5 5 0 1 19 1 3 1 0 10 1 1 10 22 106 2 25 1107121 11 92 1115 5 0 0 5 5 1 1 23 1 1 1 0 10 2 1 10 87 106 4 90 1107121 2 93 1118 14 2 0 14 14 2 1 24 1 2 1 0 10 5 2 10  1 107 3 4 1107121 11 92 1115 11 1 0 10 9 0 1 4 1 1 1 0 10 4 1 10  1 107 3 4 1107121 11 92 1115 11 1 0 10 9 0 1 4 1 1 1 0 10 4 1 10  1 107 3 4 1107121 11 92 1115 11 1 0 10 9 0 1 4 1 1 1 0 10 4 3 10  5 108 2 8 1107121 11 92 1115 7 1 0 7 7 2 1 17 1 3 1 0 10 1 2 10 47 108 2 50 1107121 2 93 1118 8 1 0 8 8 0 1 2 1 3 1 0 10 1 4 10 50 108 2 53 1107121 2 93 1118 6 1 0 6 6 0 1 24 1 3 1 0 10 1 2 10124 108 2 127 1107121 1 93 1117 5 1 0 5 5 2 1 21 1 1 1 0 10 5 2 10137 108 2 140 1107121 1 93 1117 2 1 0 2 2 0 1 20 1 2 1 0 10 4 2 10137 108 2 140 1107121 1 93 1117 2 1 0 2 2 0 1 20 1 2 1 0 10 4 2 10137 108 2 140 1107121 1 93 1117 2 1 0 2 2 0 1 20 1 2 1 0 10 4 ... 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Regarding Proc reg

by Quartz | Level 8 in SAS Procedures
‎12-12-2014 01:57 AM
‎12-12-2014 01:57 AM
Dear Friends, I have a child nutrition data for 3 points of year and 6 regions. my dependent variable is underweight of children. this variable includes 4 categories like normal, moderate , mild and severe undernurished. so i have to run a regression against underweight with all independent variables. so please can you able to suggest which proc i need to use? because i have to do regression for region wise or can i append all regions then run? please clarify on this i'm in a trouble your help is highly appreciated. hanks and regards, Anil ... View more

Re: how to handle missing values in proc freq

by Quartz | Level 8 in SAS Procedures
‎12-01-2014 10:24 PM
‎12-01-2014 10:24 PM
Hi Dave, Thanks for the help i thought missprint will works only in proc tabulate otherwise i would have applied this before. anyway thanks a lot.. Anil ... View more

Re: how to handle missing values in proc freq

by Quartz | Level 8 in SAS Procedures
‎12-01-2014 05:08 AM
‎12-01-2014 05:08 AM
Hi this is what i got results i need to remove missing values in tables mentioned as a dot in 2nd column because its also contributing to the total value so the results will go wrong. V013(Age 5-year Anemia_status groups)    . 1 2 3 4 Total 15-19 136.447 41.8884 265.464 269.619 597.145 1310.56 1.92 0.59 3.73 3.79 8.39 18.4 20-24 149.603 47.3045 281.121 232.218 571.942 1282.19 2.1 0.66 3.95 3.26 8.03 18.01 25-29 158.116 49.8065 220.12 251.434 527.914 1207.39 2.22 0.7 3.09 3.53 7.41 16.96 30-34 107.972 37.5547 223.551 235.415 470.085 1074.58 1.52 0.53 3.14 3.31 6.6 15.09 35-39 82.5654 43.8742 174.801 169.643 448.908 919.792 1.16 0.62 2.45 2.38 6.3 12.92 40-44 86.641 33.3251 184.268 150.581 323.863 778.678 1.22 0.47 2.59 2.11 4.55 10.94 45-49 45.1647 23.3171 119.063 87.5943 272.379 547.517 0.63 0.33 1.67 1.23 3.83 7.69 Total 766.51 277.07 1468.39 1396.5 3212.24 7120.71 10.76 3.89 20.62 19.61 45.11 100 the codes are proc freq data=nfhs_05.nonpreg_women; where V024=29; table  V025*Anemia_statusnpw/norow nocol missing   ; table  V013*Anemia_statusnpw/norow nocol missing ; table  V106*Anemia_statusnpw/norow nocol missing ; table  V130*Anemia_statusnpw/norow nocol missing ; table  Age_group * Anemia_statusnpw/norow nocol missing ; format V025 F00009_.; format V013 F00001_.; format V106 F00019_.; format V130 F00609_.; format Age_group agewomen_.; weight weights; run; thanks anil ... View more

how to handle missing values in proc freq

by Quartz | Level 8 in SAS Procedures
‎12-01-2014 04:17 AM
‎12-01-2014 04:17 AM
Dear friends, I am Anilkumar from Hyderabad, India i am facing a problem with missing values when i'm going to prepare tables in proc freq even i used missing option also the table is coming like this. so if i delete missing valyues in the particular variable it will effect to other variables also. so what is the solution. i request you to look at my codes and output once. proc freq data=nfhs_05.nonpreg_women; where V024=29; table  V025*Anemia_statusnpw/norow nocol missing   ; table  V013*Anemia_statusnpw/norow nocol missing ; table  V106*Anemia_statusnpw/norow nocol missing ; table  V130*Anemia_statusnpw/norow nocol missing ; table  Age_group * Anemia_statusnpw/norow nocol missing ; format V025 F00009_.; format V013 F00001_.; format V106 F00019_.; format V130 F00609_.; format Age_group agewomen_.; weight weights; run; Frequency Percent           Urban 411.757 5.78 78.9311 1.11 527.523 7.41 544.624 7.65 1335.25 18.75 2898.09 40.70 Rural 354.752 4.98 198.139 2.78 940.865 13.21 851.88 11.96 1876.98 26.36 4222.62 59.30 Total 766.51 10.76 277.07 3.89 1468.39 20.62 1396.5 19.61 3212.24 45.11 7120.71 100.00 Tanks for your help.... thanks and regards, Anil ... View more

Regarding Proc T test

by Quartz | Level 8 in SAS Procedures
‎10-09-2014 05:39 AM
‎10-09-2014 05:39 AM
Dear All, Here i have an data of BMI for household men and women like variables are Gender, Age, Village, Year and BMI, BMI_catergories in this i have to test the significance of BMI with gender and BMI in Years and BMI with the BMI catergories like Normal, overweight and underweight so for theis i am using 2 sample t test is it correct? I request you all to suggest for an Idea. Here is the codes for your reference proc ttest data=Nutr_old.antpfin_05; where village ="village"; class sex; var BMI;run;st Results are like this                                                                                                                             The TTEST Procedure                                                                                                                                  Variable: BMI (BMI)             1 86 19.2561 4.8538 0.5234 2.3671 33.0138 2 88 19.1482 4.6338 0.4940 10.9051 32.0001 Diff (1-2) 0.1079 4.7438 0.7193            1 19.2561 18.2154 20.2967 4.8538 4.2210 5.7114 2 19.1482 18.1663 20.1300 4.6338 4.0358 5.4415 Diff (1-2) Pooled 0.1079 -1.3119 1.5277 4.7438 4.2911 5.3041 Diff (1-2) Satterthwaite 0.1079 -1.3127 1.5285         Pooled Equal 172 0.15 0.8809 Satterthwaite Unequal 171.17 0.15 0.8810         Folded F 85 87 1.10 0.6675 ... View more

Re: Regading Proc Tabulate

by Quartz | Level 8 in SAS Procedures
‎09-23-2014 11:52 PM
‎09-23-2014 11:52 PM
Dear Cynthia, Suppose in your example i need subtotal and percentage for product wise how to go with that code? can you explain to me please that is what exactly i was looking. Thanks and Regards, Anil ... View more

Regading Proc Tabulate

by Quartz | Level 8 in SAS Procedures
‎09-23-2014 01:19 AM
‎09-23-2014 01:19 AM
Dear Friends, Here i need results like village wise and year wise total and percentage. but i am trying with the below code but it not works. Please help me in this. proc tabulate data=paper.Role_gender_in_; class Village  year Activity_Name  men Women both; tables  (Village *  year * Activity_Name),  Women (n colpctn) /printmiss misstext=' ' ; format Women AWM_.; run; bula ... View more

Re: Regarding If and then statement

by Quartz | Level 8 in SAS Data Science
‎09-17-2014 06:57 AM
‎09-17-2014 06:57 AM
see in the screen shot the last 2 variables BMI_Status and BMI_status... so don't know why it has repeated 2 time with gaps. ... View more

Re: Regarding If and then statement

by Quartz | Level 8 in SAS Data Science
‎09-17-2014 06:10 AM
‎09-17-2014 06:10 AM
Hi Daman, its working but its creating 2 variables with the same name half of the values are in one variable and half of the values in another  variable. i attache screen shot for you. Thanks and Regards, Anil ... View more

Re: Regarding If and then statement

by Quartz | Level 8 in SAS Data Science
‎09-17-2014 02:22 AM
‎09-17-2014 02:22 AM
Hi Mohamed, No i tried with other dataset i am not getting error even in the above codes when i will give run up to "moderate thinness" it will run. But i am getting only 3rd and 4th line of the codes is getting error. Thanks Anil ... View more

Re: Regarding If and then statement

by Quartz | Level 8 in SAS Data Science
‎09-17-2014 01:36 AM
‎09-17-2014 01:36 AM
27   data nfhs_3.want; 28   set nfhs_3.BMI_women; 29   if  Women_BMI le 16.00  then bmi="Severe thinness"; 30   else if Women_BMI le 16.99  then  bmi="Moderate thinness"; 31   else if Women_BMI le 18.49  then  bmi="Mild thinness"; ERROR: The name  bmi is not a valid SAS name. 32   else if Women_BMI le 24.99  then  bmi="Normal range"; ERROR: The name  bmi is not a valid SAS name. 33   else if Women_BMI le 29.99  then  bmi="Overweight"; 34   else if Women_BMI le 34.99  then  bmi="Obese class I"; 35   else if Women_BMI le 39.99  then  bmi="Obese class II"; 36   else if Women_BMI ge 40.00  then  bmi="Obese class III"; 37   run; NOTE: The SAS System stopped processing this step because of errors. WARNING: The data set NFHS_3.WANT may be incomplete.  When this step was stopped there were 0          observations and 119 variables. NOTE: DATA statement used (Total process time):       real time           0.37 seconds       cpu time            0.00 seconds ... View more

Re: Regarding If and then statement

by Quartz | Level 8 in SAS Data Science
‎09-17-2014 12:56 AM
‎09-17-2014 12:56 AM
Hi Tom and Reeza , Thanks for comenting even i changed the dataset name and variables names but still i am getting same error. I am totaly confused about this i wrote this type of codes earlier also. Bur i am not able to find out the error. Please clarify me where i habe done mistake? this code i have to apply for many files i mean i habe to apply macros here. Waiting for your answers Thanks a lot Anil ... View more

Regarding If and then statement

by Quartz | Level 8 in SAS Data Science
‎09-13-2014 09:17 AM
‎09-13-2014 09:17 AM
Dear Friends, when i run the belowed code data want.BMI_women; set have.BMI_women; if  Women_BMI le 16.00  then bmi="Severe thinness"; else if Women_BMI le 16.99    then  bmi="Moderate thinness"; else if Women_BMI le 18.49    then  bmi="Mild thinness"; else if Women_BMI le 24.99    then  bmi="Normal range"; else if Women_BMI le 29.99    then  bmi="Overweight"; else if Women_BMI le 34.99    then  bmi="Obese class I"; else if Women_BMI le 39.99    then  bmi="Obese class II"; else if Women_BMI ge 40.00    then  bmi="Obese class III";run; i am getting an error message like this 384  data nfhs_3.BMI_women; 385  set nfhs_3.BMI_women; 386  length bmi $20; 387  if  Women_BMI le 16.00  then bmi="Severe thinness"; 388  else if Women_BMI le 16.99  then  bmi="Moderate thinness"; 389  else if Women_BMI le 18.49  then  bmi="Mild thinness"; ERROR: The name  bmi is not a valid SAS name. 390  else if Women_BMI le 24.99  then  bmi="Normal range"; ERROR: The name  bmi is not a valid SAS name. 391  else if Women_BMI le 29.99  then  bmi="Overweight"; 392  else if Women_BMI le 34.99  then  bmi="Obese class I"; 393  else if Women_BMI le 39.99  then  bmi="Obese class II"; 394  else if Women_BMI ge 40.00  then  bmi="Obese class III"; 395  run; i tried a lot for this but i didnt get the solution please help me out in this. Thanks Anil ... View more

Regading if and then

by Quartz | Level 8 in SAS Data Science
‎07-03-2014 04:46 AM
‎07-03-2014 04:46 AM
Dear Forum, i have one question for you all i am doing scoring for one nutrition data. i have sample data like this onoin        potato       cauli_filower     vegetables 1                 0                 1 0                  1                1 1                  1                1 0                  0                1 0                 0                  0 so i am going to creat new variable called vegetables suppose the respondent consumes onion and cauli flower the i need to enter 1 i need result like 1   1     1   =1 0   1     0   =1 0    0     0  =0 1    1     0   =1 so for this i need to use if and then condition in between the if and then i need to use 'and' also please give me some i dea wether it works or not?? thanks Anil ... View more
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