vladimiratanasiu
Active Member
- Joined
- Dec 17, 2010
- Messages
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- 2021
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- Windows
Hello!
I have a larger .csv table, with quotes of cereals. The data are structured based on the weeks of a year (week 51, 50, 49, 48 etc./2023), type of cereals (wheat/feed barely) and regions (south, west, east, FOB Constanta). As it's seen, the reference period is common for the two products (rows 1, 12, 23, 34 etc), but the regions are repeated separately, for each type of cereals. I need a solution, to filter and show only the rows with the period of reference (rows 1, 12, 23, 34 etc.), and the specific values for the WHEAT from the SOUTH region ( rows 5, 16, 27, 38 etc.).
Thank you in advance!
I have a larger .csv table, with quotes of cereals. The data are structured based on the weeks of a year (week 51, 50, 49, 48 etc./2023), type of cereals (wheat/feed barely) and regions (south, west, east, FOB Constanta). As it's seen, the reference period is common for the two products (rows 1, 12, 23, 34 etc), but the regions are repeated separately, for each type of cereals. I need a solution, to filter and show only the rows with the period of reference (rows 1, 12, 23, 34 etc.), and the specific values for the WHEAT from the SOUTH region ( rows 5, 16, 27, 38 etc.).
Thank you in advance!
Cotatii-Cereale-2023-1(1).csv | |||||
---|---|---|---|---|---|
A | B | C | |||
1 | <strong><em>WEEK 51/2023 (WEEK 21 - 27 DECEMBER 2023)</em></strong> | #colspan# | #colspan# | ||
2 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>WHEAT (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
3 | WEST | 885 | 3.39 | ||
4 | EAST | - | 0 | ||
5 | SOUTH | 760 | -18.1 | ||
6 | FOB CONSTANTA | 1101 | 1.47 | ||
7 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>FEED BARELY (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
8 | WEST | - | 0 | ||
9 | EAST | - | 0 | ||
10 | SOUTH | - | 0 | ||
11 | FOB CONSTANTA | - | 0 | ||
12 | <strong><em>WEEK 50/2023 (WEEK 14 - 20 DECEMBER 2023)</em></strong> | #colspan# | #colspan# | ||
13 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>WHEAT (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
14 | WEST | 856 | 4.01 | ||
15 | EAST | 1018 | 3.98 | ||
16 | SOUTH | 928 | 2.09 | ||
17 | FOB CONSTANTA | 1085 | -4.66 | ||
18 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>FEED BARELY (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
19 | WEST | 650 | -11.2 | ||
20 | EAST | 833 | 0.12 | ||
21 | SOUTH | 800 | 12.2 | ||
22 | FOB CONSTANTA | - | 0 | ||
23 | <strong><em>WEEK 49/2023 (WEEK 07 - 13 DECEMBER 2023)</em></strong> | #colspan# | #colspan# | ||
24 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>WHEAT (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
25 | WEST | 823 | -10.05 | ||
26 | EAST | 979 | -2.59 | ||
27 | SOUTH | 909 | 0.22 | ||
28 | FOB CONSTANTA | 1138 | 0.09 | ||
29 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>FEED BARELY (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
30 | WEST | 732 | 4.57 | ||
31 | EAST | 832 | 2.09 | ||
32 | SOUTH | 713 | -8.59 | ||
33 | FOB CONSTANTA | - | 0 | ||
34 | <strong><em>WEEK 48/2023 (WEEK 30 NOVEMBER - 06 DECEMBER 2023)</em></strong> | #colspan# | #colspan# | ||
35 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>WHEAT (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
36 | WEST | 915 | 0.55 | ||
37 | EAST | 1005 | 2.24 | ||
38 | SOUTH | 907 | 1.23 | ||
39 | FOB CONSTANTA | 1137 | -0.52 | ||
40 | <strong><em>DELIVERY AREA/PRODUCT</em></strong> | <strong><em>FEED BARELY (RON/tone)</em></strong> | <strong><em>Var. %</em></strong> | ||
41 | WEST | - | 0 | ||
42 | EAST | 815 | -5.89 | ||
43 | SOUTH | 780 | -8.45 | ||
44 | FOB CONSTANTA | - | 0 | ||
Cotatii-Cereale-2023-1(1) |