Forum Discussion
Running total to date
- 6 years ago
If the date increases daily, you could create calculated columns below:
earlier = CALCULATE ( SUM ( 'Table'[Running Value] ), FILTER ( 'Table', 'Table'[Country] = EARLIER ( 'Table'[Country] ) && 'Table'[Date] = EARLIER ( 'Table'[Date] ) - 1 ) ) daily total = [Running Value]-[earlier]As tested, if i understand you correctly, your second visual has some wrong data due to teh calculation rule.
Best Regards
Maggie
Community Support Team _ Maggie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. - 6 years ago
Thank you so much, it work out to perfection.
- 6 years ago
- 6 years ago
This solution was created using Power Query as you have posted your question in PQ section, the script dose Include the M code in Added Column step of the script.
Best Regards,
Mariusz
If this post helps, then please consider Accepting it as the solution.
Please feel free to connect with me.
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Dear Maggie,
Earlier one worked out to perfection, but when i added province column the country coulmn value repeated. That started causing issues. Below is the sample data for 2 days appreciated your help. Create a new colum where i will have the daily value either on province or country.
| Province/State | Country/Region | Lat | Long | Date | Value |
| Anhui | China | 31.8257 | 117.2264 | 1/22/2020 | 1 |
| Beijing | China | 40.1824 | 116.4142 | 1/22/2020 | 14 |
| Chongqing | China | 30.0572 | 107.874 | 1/22/2020 | 6 |
| Fujian | China | 26.0789 | 117.9874 | 1/22/2020 | 1 |
| Guangdong | China | 23.3417 | 113.4244 | 1/22/2020 | 26 |
| Guangxi | China | 23.8298 | 108.7881 | 1/22/2020 | 2 |
| Guizhou | China | 26.8154 | 106.8748 | 1/22/2020 | 1 |
| Hainan | China | 19.1959 | 109.7453 | 1/22/2020 | 4 |
| Hebei | China | 39.549 | 116.1306 | 1/22/2020 | 1 |
| Henan | China | 33.882 | 113.614 | 1/22/2020 | 5 |
| Hubei | China | 30.9756 | 112.2707 | 1/22/2020 | 444 |
| Hunan | China | 27.6104 | 111.7088 | 1/22/2020 | 4 |
| Jiangsu | China | 32.9711 | 119.455 | 1/22/2020 | 1 |
| Jiangxi | China | 27.614 | 115.7221 | 1/22/2020 | 2 |
| Liaoning | China | 41.2956 | 122.6085 | 1/22/2020 | 2 |
| Macau | China | 22.1667 | 113.55 | 1/22/2020 | 1 |
| Ningxia | China | 37.2692 | 106.1655 | 1/22/2020 | 1 |
| Shandong | China | 36.3427 | 118.1498 | 1/22/2020 | 2 |
| Shanghai | China | 31.202 | 121.4491 | 1/22/2020 | 9 |
| Shanxi | China | 37.5777 | 112.2922 | 1/22/2020 | 1 |
| Sichuan | China | 30.6171 | 102.7103 | 1/22/2020 | 5 |
| Tianjin | China | 39.3054 | 117.323 | 1/22/2020 | 4 |
| Yunnan | China | 24.974 | 101.487 | 1/22/2020 | 1 |
| Zhejiang | China | 29.1832 | 120.0934 | 1/22/2020 | 10 |
| Japan | 36 | 138 | 1/22/2020 | 2 | |
| Korea, South | 36 | 128 | 1/22/2020 | 1 | |
| Taiwan* | 23.7 | 121 | 1/22/2020 | 1 | |
| Thailand | 15 | 101 | 1/22/2020 | 2 | |
| US | 37.0902 | -95.7129 | 1/22/2020 | 1 | |
| Anhui | China | 31.8257 | 117.2264 | 1/23/2020 | 9 |
| Beijing | China | 40.1824 | 116.4142 | 1/23/2020 | 22 |
| Chongqing | China | 30.0572 | 107.874 | 1/23/2020 | 9 |
| Fujian | China | 26.0789 | 117.9874 | 1/23/2020 | 5 |
| Guangdong | China | 23.3417 | 113.4244 | 1/23/2020 | 32 |
| Guangxi | China | 23.8298 | 108.7881 | 1/23/2020 | 5 |
| Guizhou | China | 26.8154 | 106.8748 | 1/23/2020 | 3 |
| Hainan | China | 19.1959 | 109.7453 | 1/23/2020 | 5 |
| Hebei | China | 39.549 | 116.1306 | 1/23/2020 | 1 |
| Henan | China | 33.882 | 113.614 | 1/23/2020 | 5 |
| Hubei | China | 30.9756 | 112.2707 | 1/23/2020 | 444 |
| Hunan | China | 27.6104 | 111.7088 | 1/23/2020 | 9 |
| Jiangsu | China | 32.9711 | 119.455 | 1/23/2020 | 5 |
| Jiangxi | China | 27.614 | 115.7221 | 1/23/2020 | 7 |
| Liaoning | China | 41.2956 | 122.6085 | 1/23/2020 | 3 |
| Macau | China | 22.1667 | 113.55 | 1/23/2020 | 2 |
| Ningxia | China | 37.2692 | 106.1655 | 1/23/2020 | 1 |
| Shandong | China | 36.3427 | 118.1498 | 1/23/2020 | 6 |
| Shanghai | China | 31.202 | 121.4491 | 1/23/2020 | 16 |
| Shanxi | China | 37.5777 | 112.2922 | 1/23/2020 | 1 |
| Sichuan | China | 30.6171 | 102.7103 | 1/23/2020 | 8 |
| Tianjin | China | 39.3054 | 117.323 | 1/23/2020 | 4 |
| Yunnan | China | 24.974 | 101.487 | 1/23/2020 | 2 |
| Zhejiang | China | 29.1832 | 120.0934 | 1/23/2020 | 27 |
| Japan | 36 | 138 | 1/23/2020 | 2 | |
| Korea, South | 36 | 128 | 1/23/2020 | 1 | |
| Taiwan* | 23.7 | 121 | 1/23/2020 | 1 | |
| Thailand | 15 | 101 | 1/23/2020 | 3 | |
| US | 37.0902 | -95.7129 | 1/23/2020 | 1 |
Regards
Ajith
- AjithTravvise6 years agoHelper II
Dear Maggie,
Thank you so much for the help. It worked as desired. I am just a begginer and I am hoping to get help as and when i am stuck.
Cheers
Ajith