UAW Vice President Chuck Browning said members had achieved "a groundbreaking contract" and had set "a new standard for workers not only within the UAW but throughout the country. Through our new collective bargaining agreements, we're giving employees the opportunity to earn wages and benefits that are the best in our industries and are groundbreaking in many ways.
Biden Orders Military to Fight Omicron. Load Error. Newsweek See more videos. Click to expand. Replay Video. Microsoft and partners may be compensated if you purchase something through recommended links in this article. Work items under a specific Area Path.
Filters out any work item that has at least one or "any" descendant. Group the rollup by StateCategory. For more information on State Categories, see How workflow states and state categories are used in Backlogs and Boards. To determine available query filters, query the metadata as described in Explore the Analytics OData metadata. To learn more about the data type of each value, review the metadata provided for the corresponding EntityType. Each EntitySet corresponds to an EntityType.
You can add filters based on any of the listed NavigationPropertyBinding Path values. The query returns several columns that you need to expand before you can use them in Power BI. Expand the record to flatten the entity into its fields. Expand it. Select Transform menu and then Pivot Column. Some of the new Pivoted StateCategory columns will have null values. For easier reporting, replace the nulls with zeroes. It is possible you won't have a Resolved column, if the work items don't have States mapped to the Resolved State Category.
If so, then omit "[Resolved]" in the above formula. You also may want to rename the query from the default Query1 , to something more meaningful. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Asked 3 years, 9 months ago. Active 3 years, 9 months ago. Viewed 25k times.
The result should be a dataframe with columns c1 and c4 only. Only thing that comes to my mind is something like df. Krypt Krypt 1 1 gold badge 2 2 silver badges 8 8 bronze badges. Possible duplicate of How to drop column according to NAN percentage for dataframe? Add a comment. Active Oldest Votes. Thank you very much for your answer.
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