i have been given a data table containing 5000 rows of transactions. 5 columns titled; order date, ship date, payment date, order amount, payment amount. i am working on it with excel. how should i go about answering this question. i can provide more details if needed

1. The owners have provided you with sales data that their system has recorded since they commenced operations. WCB ships products to local bike shops with FOB shipping point terms. The company does not offer any sales discounts, but just asks that the invoice is paid in 30 days. Based on this information, how much revenue should be recognized during the 2021 fiscal year? Please explain your calculations. Home Insert Draw Data Review VI Page Layout Formulas Connections Get External Data Refresh AL Stocks Data from Picture Currencies tot 119 15132 D 1 oder der de payment dat de payer 2 2021-06-16 2021-06-23 2021-07-02 15132 2020-03-14 2020-08-21 2020-08-22 8711 8711 2021-06-15 2921-06-22 2021-06-15 17560 17860 5 2020-08-25 2020-09-15 2020-08-25 12562 12562 2020-00-222020-09-29 2020-10-29 18165 18165 2021-0500 2021-05.00 2021-05-15 7800 7800 B 2021-01-08 2021-01-08 2021-01-08 983 983 2020-00-052020-09-10 2020-01-20 18301 16561 10 2020-07-04 2020-07-18 2020-07-31 23239 23239 11 020-04-20 200 042 2020-06-16 17135 17135 12 2020-00-06. 2020-09-13 2020-00-00 1534 18634 53 2021-04-24 2021-05-01 2021-06-19 955 055 14 2020-06-10 2020-06-17 2020-07-14 995 995 15 2021-05-31 2021-06-14 2021-06-21 3828 10 2021-05-14 2021-05-28 2021-07-07 8881 8881 17 2021-04-23 2021-05-07 2021-05.15 17200 17290 18 2020-09-16 2020-09-30 2020.09.10 18300 18380 19 2021-05-07 2021-05-23 2021-07-06 999 999 20 2020-1222 2021-01-05 2021-01-20 20992 20892 21 2020-08-24 2020-09-07 2020-10-03 13422 13422 22 2020-05-25 2020-06-01 2020-08-11 17089 17089 23 2020.11.14 2020.12.06 2020-12-23 18577 18577 24 2020-10.07 20:20-10.14 2020-10-07 19219 19210 26 2021-02-06 2021-02-06 2021-02-15 12479 12479 20 2021-03-25 2021-04-01 2021-07-04 13854 13854 27 2020-07-12 2020-07-26 2020-08-11 6265 6285 28 2021-02-05 2021-02-05 2921-02-05 12341 12341 20 2020-07-28 2020-06-18 2020-09-03 20297 20297 30 2021-04-07 2021.04.14 20210500 24045 24046 31 2020.11.10 2020.11.10 2020.11-26 15282 15282 32 2020-05-10 2020-05-01 2020-07.10 8516 8516 33 2021-0301 2021-03-08 2021-03-01 19312 19312 34 2021-04-19 2021-05-03 2021-05-26 14577 14577 35 2020-05-07 2020-05-14 2020-09-10 16259 10285 30 2021-04-27 2021-05.11 2021-06-22 11429 37 2021-04-20 2021-04-28 2021-05-03 8941 8945 38 2020 1025 2020.1101 2020-10-25 15424 15424 39 2020-09-07 2020-09-28 2920-10-12 7954 7964 40 2020.12.1212021-01-02 2021-04-10 1981 883 412020.12.12 2020-12-12 2020-12-27 2676 8676 422020.11.162020-12.07 2021-02-20 13210 13210 4312020.10.09 2020-10-23 2020-10-30 13461 13461 2020-01-20 2021-02-04 2021-03-20 638 45 2021-01-17 2021-01-31 2021-03-17 5726 5728 46 2020-09-20 2020-10-04 2020-10.18 7531 7531 47 2021-03-10 2021-03-24 2021-06-18 58232 18232 402021.04.172021-04-17 2021-05-01 8824 5824 49 2020-10-202020-11-03 2020-10-20 1640 4540 50 2021-06-14 2021-07-05 2021-08-19 20829 20829 3000 Export Summary Legend Data + Ready