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write a python cde to find mean mode median standard deviation min max frequancy from the data below Order Number Line Item Order Date Delivery

write a python cde to find mean mode median standard deviation min max frequancy from the data below Order Number Line Item Order Date Delivery Date CustomerKey StoreKey ProductKey Quantity Currency Code

366000 1 1 / 1 / 2016 265598 10 1304 1

CAD

366001 1 1 / 1 / 2016 1 / 13 / 2016 1269051 0 1048 2

USD

366001 2 1 / 1 / 2016 1 / 13 / 2016 1269051 0 2007 1

USD

366002 1 1 / 1 / 2016 1 / 12 / 2016 266019 0 1106 7

CAD

366002 2 1 / 1 / 2016 1 / 12 / 2016 266019 0 373 1

CAD

366002 3 1 / 1 / 2016 1 / 12 / 2016 266019 0 1080 4

CAD

366004 1 1 / 1 / 2016 1107461 38 163 6

GBP

366004 2 1 / 1 / 2016 1107461 38 1529 2

GBP

366005 1 1 / 1 / 2016 844003 33 421 4

EUR

366007 1 1 / 1 / 2016 2035771 43 1617 1

USD

366007 2 1 / 1 / 2016 2035771 43 666 5

USD

366008 1 1 / 1 / 2016 759705 29 1154 9

EUR

366008 2 1 / 1 / 2016 759705 29 2510 1

EUR

366008 3 1 / 1 / 2016 759705 29 1060 5

EUR

366009 1 1 / 1 / 2016 254540 9 1648 1

CAD

366010 1 1 / 1 / 2016 1 / 8 / 2016 370077 0 618 5

CAD

366011 1 1 / 1 / 2016 1984985 66 128 7

USD

366011 2 1 / 1 / 2016 1984985 66 1638 1

USD

366011 3 1 / 1 / 2016 1984985 66 1634 1

USD

366011 4 1 / 1 / 2016 1984985 66 2392 3

USD

366012 1 1 / 1 / 2016 1977527 65 1807 1

USD

366012 2 1 / 1 / 2016 1977527 65 1594 4

USD

366012 3 1 / 1 / 2016 1977527 65 1297 1

USD

366013 1 1 / 1 / 2016 1187306 41 1654 5

GBP

366014 1 1 / 1 / 2016 1 / 6 / 2016 738549 0 123 1

EUR

366014 2 1 / 1 / 2016 1 / 6 / 2016 738549 0 1700 2

EUR

366016 1 1 / 1 / 2016 1982762 63 1253 7

USD

367000 1 1 / 2 / 2016 1438050 56 1176 1

USD

367003 1 1 / 2 / 2016 980164 40 153 2

GBP

367004 1 1 / 2 / 2016 1853699 56 136 1

USD

367004 2 1 / 2 / 2016 1853699 56 1637 4

USD

367005 1 1 / 2 / 2016 1 / 10 / 2016 758280 0 1691 1

EUR

367005 2 1 / 2 / 2016 1 / 10 / 2016 758280 0 319 2

EUR

367005 3 1 / 2 / 2016 1 / 10 / 2016 758280 0 1674 8

EUR

367005 4 1 / 2 / 2016 1 / 10 / 2016 758280 0 2511 9

EUR

367005 5 1 / 2 / 2016 1 / 10 / 2016 758280 0 1720 2

EUR

367005 6 1 / 2 / 2016 1 / 10 / 2016 758280 0 1597 7

EUR

367005 7 1 / 2 / 2016 1 / 10 / 2016 758280 0 784 1

EUR

367006 1 1 / 2 / 2016 693285 18 2445 3

EUR

367007 1 1 / 2 / 2016 1730985 57 65 7

USD

367007 2 1 / 2 / 2016 1730985 57 1432 9

USD

367008 1 1 / 2 / 2016 763246 28 1951 3

EUR

367009 1 1 / 2 / 2016 1512558 57 934 1

USD

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