Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
So I have this stacked column chart:
Think the main issue here is that I have 2 fields on the x-axis.
So I have period and in this period type of volume (quantity in this case). Actual and LBE1.
In the legend I have the countries.
The chart is now sorted by country. But what we would like for this purpose is put the biggest chuck of every column at the bottom.
For Jan24 this would meen start with China for both Actual and LBE1.
But 2nd biggest for Actual would be India, however for LBE1 india is big with 50K but there is one bigger with 84K (russia) so that would come 2nd in LBE1.
Can this be done? Can we "rank" the volume by country in Type and Period but ofcourse keep the X-axis formatting.
Meaning Period Jan first and Actual comes before LBE1.
This chart is based on a sample test data which I will paste below so people can put that in Excel and use it to play around in PBI.
Period | Type | Volume | Country |
Jan-24 | Actual | 484 | Australia |
Jan-24 | Actual | 3863 | Brazil |
Jan-24 | Actual | 8 | Chile |
Jan-24 | Actual | 85069 | China |
Jan-24 | Actual | 2350 | Colombia |
Jan-24 | Actual | 100 | Costa Rica |
Jan-24 | Actual | 5 | Croatia |
Jan-24 | Actual | 6012 | Czech Republic |
Jan-24 | Actual | 40 | Ecuador |
Jan-24 | Actual | 1840 | Egypt |
Jan-24 | Actual | 1615 | Hong Kong |
Jan-24 | Actual | 1828 | Hungary |
Jan-24 | Actual | 49292 | India |
Jan-24 | Actual | 1031 | Indonesia |
Jan-24 | Actual | 2660 | Malaysia |
Jan-24 | Actual | 979 | Mexico |
Jan-24 | Actual | 9012 | Other |
Jan-24 | Actual | 11060 | Pakistan |
Jan-24 | Actual | 100 | Paraguay |
Jan-24 | Actual | 71 | Peru |
Jan-24 | Actual | 528 | Philippines |
Jan-24 | Actual | 3185 | Romania |
Jan-24 | Actual | 27825 | Russian Fed. |
Jan-24 | Actual | 1890 | Serbia |
Jan-24 | Actual | 1006 | Singapore |
Jan-24 | Actual | 6 | South Africa |
Jan-24 | Actual | 15707 | South Korea |
Jan-24 | Actual | 5119 | Taiwan |
Jan-24 | Actual | 4498 | Thailand |
Jan-24 | Actual | 12946 | Turkey |
Jan-24 | Actual | 1398 | Ukraine |
Jan-24 | Actual | 3 | Utd.Arab Emir. |
Jan-24 | Actual | 2310 | Vietnam |
Jan-24 | LBE1 | 52942 | |
Jan-24 | LBE1 | 9246 | Brazil |
Jan-24 | LBE1 | 85815 | China |
Jan-24 | LBE1 | 1745 | Colombia |
Jan-24 | LBE1 | 853 | Hong Kong |
Jan-24 | LBE1 | 50459 | India |
Jan-24 | LBE1 | 3023 | Indonesia |
Jan-24 | LBE1 | 1364 | Malaysia |
Jan-24 | LBE1 | 1162 | Mexico |
Jan-24 | LBE1 | 89 | Oceana |
Jan-24 | LBE1 | 397 | Philippines |
Jan-24 | LBE1 | 84106 | Russian Fed. |
Jan-24 | LBE1 | 374 | Singapore |
Jan-24 | LBE1 | 9977 | South Korea |
Jan-24 | LBE1 | 2790 | Taiwan |
Jan-24 | LBE1 | 3513 | Thailand |
Jan-24 | LBE1 | 24794 | Turkey |
Feb-24 | Actual | 327 | Argentina |
Feb-24 | Actual | 11 | Australia |
Feb-24 | Actual | 6941 | Brazil |
Feb-24 | Actual | 31 | Chile |
Feb-24 | Actual | 86572 | China |
Feb-24 | Actual | 1931 | Colombia |
Feb-24 | Actual | 82 | Costa Rica |
Feb-24 | Actual | 45 | Croatia |
Feb-24 | Actual | 4270 | Czech Republic |
Feb-24 | Actual | 12 | Egypt |
Feb-24 | Actual | 1292 | Hong Kong |
Feb-24 | Actual | 1606 | Hungary |
Feb-24 | Actual | 50481 | India |
Feb-24 | Actual | 4043 | Indonesia |
Feb-24 | Actual | 70 | Israel |
Feb-24 | Actual | 1282 | Malaysia |
Feb-24 | Actual | 796 | Mexico |
Feb-24 | Actual | 14523 | Other |
Feb-24 | Actual | 7100 | Pakistan |
Feb-24 | Actual | 49 | Paraguay |
Feb-24 | Actual | 38 | Peru |
Feb-24 | Actual | 1023 | Philippines |
Feb-24 | Actual | 4219 | Romania |
Feb-24 | Actual | 36516 | Russian Fed. |
Feb-24 | Actual | 2528 | Serbia |
Feb-24 | Actual | 588 | Singapore |
Feb-24 | Actual | 1421 | South Africa |
Feb-24 | Actual | 15409 | South Korea |
Feb-24 | Actual | 3207 | Taiwan |
Feb-24 | Actual | 5346 | Thailand |
Feb-24 | Actual | 8136 | Turkey |
Feb-24 | Actual | 8534 | Ukraine |
Feb-24 | Actual | 1147 | Uruguay |
Feb-24 | Actual | 46 | Venezuela |
Feb-24 | Actual | 2135 | Vietnam |
Feb-24 | LBE1 | 45926 | |
Feb-24 | LBE1 | 11532 | Brazil |
Feb-24 | LBE1 | 79834 | China |
Feb-24 | LBE1 | 1986 | Colombia |
Feb-24 | LBE1 | 1224 | Hong Kong |
Feb-24 | LBE1 | 50488 | India |
Feb-24 | LBE1 | 3556 | Indonesia |
Feb-24 | LBE1 | 1136 | Malaysia |
Feb-24 | LBE1 | 1852 | Mexico |
Feb-24 | LBE1 | 95 | Oceana |
Feb-24 | LBE1 | 392 | Philippines |
Feb-24 | LBE1 | 34821 | Russian Fed. |
Feb-24 | LBE1 | 508 | Singapore |
Feb-24 | LBE1 | 9708 | South Korea |
Feb-24 | LBE1 | 4572 | Taiwan |
Feb-24 | LBE1 | 4297 | Thailand |
Feb-24 | LBE1 | 30000 | Turkey |
Mar-24 | Actual | 350 | Algeria |
Mar-24 | Actual | 552 | Argentina |
Mar-24 | Actual | 1107 | Australia |
Mar-24 | Actual | 8304 | Brazil |
Mar-24 | Actual | 23 | Chile |
Mar-24 | Actual | 65850 | China |
Mar-24 | Actual | 1849 | Colombia |
Mar-24 | Actual | 68 | Costa Rica |
Mar-24 | Actual | 3099 | Czech Republic |
Mar-24 | Actual | 108 | Ecuador |
Mar-24 | Actual | 3080 | Egypt |
Mar-24 | Actual | 1309 | Hong Kong |
Mar-24 | Actual | 2472 | Hungary |
Mar-24 | Actual | 67397 | India |
Mar-24 | Actual | 4722 | Indonesia |
Mar-24 | Actual | 2095 | Malaysia |
Mar-24 | Actual | 313 | Mexico |
Mar-24 | Actual | 12656 | Other |
Mar-24 | Actual | 24722 | Pakistan |
Mar-24 | Actual | 102 | Peru |
Mar-24 | Actual | 296 | Philippines |
Mar-24 | Actual | 2102 | Romania |
Mar-24 | Actual | 37000 | Russian Fed. |
Mar-24 | Actual | 543 | Singapore |
Mar-24 | Actual | 422 | South Africa |
Mar-24 | Actual | 1983 | South Korea |
Mar-24 | Actual | 2985 | Taiwan |
Mar-24 | Actual | 4595 | Thailand |
Mar-24 | Actual | 10943 | Turkey |
Mar-24 | Actual | 364 | Ukraine |
Mar-24 | Actual | 706 | Uruguay |
Mar-24 | Actual | 35 | Utd.Arab Emir. |
Mar-24 | Actual | 2431 | Vietnam |
Mar-24 | LBE1 | 52824 | |
Mar-24 | LBE1 | 5928 | Brazil |
Mar-24 | LBE1 | 71103 | China |
Mar-24 | LBE1 | 2020 | Colombia |
Mar-24 | LBE1 | 847 | Hong Kong |
Mar-24 | LBE1 | 95981 | India |
Mar-24 | LBE1 | 2657 | Indonesia |
Mar-24 | LBE1 | 1860 | Malaysia |
Mar-24 | LBE1 | 856 | Mexico |
Mar-24 | LBE1 | 121 | Oceana |
Mar-24 | LBE1 | 403 | Philippines |
Mar-24 | LBE1 | 31413 | Russian Fed. |
Mar-24 | LBE1 | 461 | Singapore |
Mar-24 | LBE1 | 2088 | South Korea |
Mar-24 | LBE1 | 2752 | Taiwan |
Mar-24 | LBE1 | 4148 | Thailand |
Mar-24 | LBE1 | 31138 | Turkey |
Solved! Go to Solution.
Consider using a ribbon chart (if needed without ribbons)
@lbendlin well I changed the stacked column chart in a ribbon chart but really fail to see how that would help.
I can still not sort all on quantity inside periode and inside type...
Ah...great! @lbendlin guess I needed to see it but indeed this is what we were looking for.
Was thinking about something with a RANK or RANKX ?
But I would not know how to start.
Like rank volume in period and in field type.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
104 | |
95 | |
80 | |
67 | |
62 |
User | Count |
---|---|
147 | |
109 | |
107 | |
85 | |
63 |