This seems like one of the use cases for groups, but maybe I'm understanding them wrong.
I have a table that shows a count of all rows like this:
User | Completed Tasks
Bob | 2
Jim | 1
Pete | 1
The table it comes from looks like this:
User | Type
Bob | A
Bob | B
Jim | A
Pete | C
This is very simplified - in reality there are about 80 different types - I'm hoping to get 5 of them in a group called Secondary and the rest in a group called Primary
For the example, say I want A and B to be considered "primary" and C to be secondary.
The new table would look like this:
User | Completed Tasks | Primary | Secondary
Bob | 2 | 2 | 0
Jim | 1 | 1 | 0
Pete | 1 | 0 | 1
I tried creating a group of Type with 5 called Secondary and the rest called Primary, but I was having trouble figuring it out.
I just want a Count of types for that particular group based on the filtered values and everything.
Is there an easy way to do this or do I need to create a measure/calculated column?
I ended up solving this by creating two calculated columns.
The Dax for the primary would be a 1 for each row not in the Secondary list:
PrimaryCount = IF(table[Type] in {"C","D","E","F","G"},0,1)
The Dax for the secondary would be a 1 for each row IN the Secondary list:
SecondaryCount = IF(table[Type] in {"C","D","E","F","G"},1,0)
Then, just add those to your table values and make sure Sum is selected (the default).
I figured using groups would be easier, but I suppose this is simple enough and seems to work.
Another way to approach this is to create a calculated column for Group
Group = IF(table[Type] IN {"A","B"}, "Primary", "Secondary")
You can then use the Group as the columns on a matrix and count the Type column.
Note that this approach scales better if you want to break into a lot more groups. You'd likely want to use a SWITCH in that case like this:
Group =
SWITCH(TRUE(),
Table1[Type] IN {"A","B"}, "Primary",
Table1[Type] IN {"C"}, "Secondary",
Table1[Type] IN {"D", "E", "F"}, "Tertiary",
"Other"
)
Related
I read some text from a pdf into Power automate desktop. It is in the form of a list like
0 | 123 Testing Company 23.00
1 | Generation Z Co 555.11
2 | Tea Company 1,234.99
I need to separate the list into columns where the number at the end of the element is in its own column like
0 | 123 Testing Company | 23.00
1 | Generation Z Co | 555.11
2 | Tea Company | 1,234.99
Is there a way to do this? I've tried to extract tables from PDF instead but this method does not return the right data, because it seems PAD doesn't recognize it as a table.
Is there a way to convert a list into a data table?
The only way seems to be to For Loop the List,
Parse Text each of the columns
and insert them each as a row to the Data table.
i feel like there should be a quicker way to do this.
assume I have a db table with following rows:
some_key - price
1 | 100
1 | 100
2 | 150
2 | 150
3 | 100
3 | 100
I want to list users with their total expending according to orders table. but for whatever (stupid) reason each row may have been duplicated. so I should add distinct on "some_key" column and obviously this code bellow won't work.
how could I annotate Sum of prices with distinct on "some_key" column
query = User.objects.filter(<...>).annotate(price_sum=Sum("orders_set__price", distinct=True))
any suggestion?
I'm struggling to create a Measure that sums a column and have it filter out duplicate IDs while taking only the latest row.
For example, there is a table as such:
UID | Quantity | Status | StatusDate
aaa | 3 | Shipped | 11/1/2020
aaa | 3 | Delivered | 11/5/2020
bbb | 5 | Ordered | 10/29/2020
ccc | 8 | Shipped | 11/4/2020
So the idea would be to sum the quantity, but I would only want to count quantity for id "aaa" once and only count towards the latest status ("Delivered" in this case). I would make a visual that shows the quantities with status as its axis. I also need to add a date Slicer so I could go back in time. So, when I go before 11/5/2020, instead of "Delivered," it would switch back to "Shipped."
I tried several methods:
SUMMARIZE to a table filtering "MAX" date value if UID is the same. I found this doesn't work with the date slicer since it seems like it is not actually recalculating the filtering and just slicing away rows outside of the dates. Seems to be the same whether the SUMMARIZE is set as a new table or VAR in the Measure.
CALCULATE seems promising but I can't seem to figure out a syntax
that filters that I need. Example of one that doesn't work (I also tried SUMX instead of SUM but that doesn't work either):
CALCULATE(
SUM(Table1[Quantity]),
FILTER(Table1, [StatusDate]=MAXX(FILTER(Table1,[UID]=EARLIER([UID])),[StatusDate])
)
I also tried adding a column that states whether if the row is "old" as well as a numerical "rank" to the different statuses. But once again, I run into the issue where the date slicer is not exactly filtering to recalculate those columns. For example, if the date slicer is set to 11/3/2020, it should add "3" to "Shipped" instead of "Delivered." But instead of that, it just removes the row which tells me that it is not actually recalculating the columns (like #1).
Any help would be appreciated :-) Thank you!
You can try something like this:
Measure =
VAR d = LASTDATE(Table1[StatusDate])
VAR tb = SUMMARIZE(FILTER(Table1, Table1[StatusDate] <= d),
Table1[UID],
"last", LASTDATE(Table1[StatusDate]))
RETURN CALCULATE(SUM(Table1[Quantity]), TREATAS(tb, Table1[UID], Table1[StatusDate]))
The tb variable contains a table which has the latest date per UID. You then use that to filter your main table with the TREATAS function.
One other alternative is to create a table with the RANK function ordered by date and then doing a SUM over that table, where Rank = 1.
I have a table that contains multiple columns with their named having either the suffix _EXPECTED or _ACTUAL. For example, I'm looking at my sold items from my SoldItems Table and I have the following columns: APPLES_EXPECTED, BANANAS_EXPECTED, KIWIS_EXPECTED, APPLES_ACTUAL, BANANAS_ACTUAL, KIWIS_ACTUAL (The Identifier of the table is the date, so we have results per date). I want to show that data in a table form, something like this (for a selected date in filters:
+------------+----------+--------+
| Sold items | Expected | Actual |
+------------+----------+--------+
| Apples | 10 | 15 |
| Bananas | 8 | 5 |
| Kiwis | 2 | 1 |
+------------+----------+--------+
How can I manage something like this in Power BI ? I tried playing with the matrix/table visualization, however, I can't figure out a way to merge all the expected and actual columns together.
It looks like the easiest option for you would be to mould the data a bit differently using Power query. You can UNPIVOT your data so that all the expected and actual values become rows instead of columns. For example take the following sample:
Date Apples_Expected Apples_Actual
1/1/2019 1 2
Once you unpivot this it will become:
Date Fruit Count
1/1/2019 Apples_Expected 1
1/1/2019 Apples_Actual 2
Once you unpivot, it should be fairly straightforward to get the view you are looking for. The following link should walk you through the steps to unpivot:
https://support.office.com/en-us/article/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95-f588221c7098
Hope this helps.
Hopefully this makes sense. I will probably just keep mulling this over, until i figure it. I have a table, that is formatted in such as way, that a specific date may have more than one record assigned. Each record is a plant, so the structure of that table looks like the pinkish table in the image below. However when using the Google chart API the data needs to be in the format in the blue table for a line chart. Which I have working.
I am looking to create a graph in the Google chart api similar to the excel graph, using the pink table. Where at one date e.g. 01/02/2003 there are three species recorded A,B,C with values 1,2,3. I thought possibly using a scatter but that didn't work either.
What ties these together is the CenterID all these records belong to XXX CenterID. Each record with its species has an SheetID that grouped them together for example SheetID = 23, all those species were recorded on the same date.
Looking for suggestions, whether google chart API or php amendments. My PHP is below (I will switch to json_encode eventually).
$sql = "SELECT * FROM userrecords";
$stmt = $conn->prepare($sql);
$stmt->execute();
$data = $stmt->fetchAll();
foreach ($data as $row)
{
$dateArray = explode('-', $row['eventdate']);
$year = $dateArray[0];
$month= $dateArray[1] - 1;
$day= $dateArray[2];
$dataArray[] = "[new Date ($year, $month, $day), {$row['scientificname']}, {$row['category_of_taxom']}]";
To get that chart, where the dates are the series instead of the axis values, you need to change the way you are pulling your data. Assuming your database is structured like the pink table, you need to pivot the data on the date column instead of the species column to create a structure like this:
| Species | 01/02/2003 | 01/03/2003 | 01/04/2003 |
|---------|------------|------------|------------|
| A | 1 | 2 | 3 |
| B | 3 | 1 | 4 |
| C | 1 | 3 | 5 |