This is my dataset:

```
Sales = [
["101TGY" , "George" , "Taylor" , 6009 , 5262 , 3745 , 7075 , 1943 , 4432],
["103FCY" , "Fehlix" , "Chayne" , 8717 , 2521 , 5777 , 6189 , 5089 , 6957],
["102SBY" , "Sumren" , "Bergen" , 5012 , 1063 , 7937 , 9560 , 1115 , 5499],
["104SBK" , "Samira" , "Beckle" , 1140 , 9206 , 3898 , 8544 , 5937 , 8705],
["105NBT" , "Nellie" , "Bogart" , 3017 , 3342 , 5939 , 2479 , 3374 , 2297],
["106CGT" , "Cheryl" , "Grouth" , 9620 , 7160 , 5113 , 4803 , 5492 , 2195],
["107DGT" , "Danuta" , "Graunt" , 1583 , 7450 , 1026 , 7463 , 2390 , 6509],
["108JDN" , "Jaiden" , "Deckle" , 4064 , 4978 , 2984 , 3159 , 1464 , 4858],
["109JCK" , "Jimran" , "Caliks" , 6253 , 7962 , 2732 , 7504 , 2771 , 5193],
["110DDN" , "Deynar" , "Derran" , 6305 , 8817 , 5200 , 3647 , 3365 , 1256]]

for i in Sales:
    #do something

```

How can I add up the number of sales (the integers) of each person?

Notice how the number of columns could change.
Meaning the code should also work with this dataset:

```
Sales = [
["101TGY" , "George" , "Taylor" , "absent", 6009 , 5262 , 3745 , 7075 , 1943 , 4432, 3455],
["103FCY" , "Fehlix" , "Chayne" , 8717 , 2521 , 5777 , 6189 , 5089 , 6957],
["102SBY" , "Sumren" , "Bergen" , 5012 , 1063 , 7937 , 9560 , 1115 , 5499, 345],
["104SBK" , "Samira" , "Beckle" , "absent", 1140 , 9206 , 3898 , 8544 , 5937],
["105NBT" , "Nellie" , "Bogart" , 3017 , 3342 , 5939 , 2479 , 3374 , 2297, 8723],
["106CGT" , "Cheryl" , "Grouth" , 9620 , 7160 , 5113 , 4803 , 5492 , 2195],
["107DGT" , "Danuta" , "Graunt" , 1583 , 7450 , 1026 , 7463 , 2390 , 6509],
["108JDN" , "Jaiden" , "Deckle" , 4064 , 4978 , 2984 , 3159 , 1464 , 4858, 3223],
["109JCK" , "Jimran" , "Caliks" , 6253 , 7962 , 2732 , 7504 , 2771 , 5193],
["110DDN" , "Deynar" , "Derran" , "absent", 6305 , 8817 , 5200 , 3647 , 3365 , 1256]]

```

I've tried doing:

```
for i in Sales:
    total = i[3]+i[4]+i[5]+i[6]+i[8]
    print(total)

```

which works for the first dataset however not for the second, which is an issue.