So my original table is like this:
And I want to compress the table which only shows that factoryID and the month, and the max output like this:
How do I do this with spotfire in table visualization?
To go from the top table to the bottom table:
Do these steps:
Create a new calculated column off of your date for mmm-yy: Concatenate(Month([Date]),"-",right(String(Year([Date])),2))
Add a pivot transformation with the following parameters:
I created it as a new table but you do not have to.
Create two caculated columns.
c_month, c_max
for c_month, use the expression: Concatenate(Month([date]),"-",Year([date]))
for c_max, use the expression: Max([max]) OVER ([factory id])
Add third column called c_rank
expression:
If(Rank(RowId(),"asc",[factory id])=Min(Rank(RowId(),"asc",[factory id])),True)
//this will create a new calculated column which will give true only for every unique value of factory id.
Add a data table to your visualization
Add data limiter
Right click and under data --> Limit Data using expression, enter [c_rank] = true
Create Table with limted columns
Only add factory id, c_month and c_max to your column list.
Related
Below is my example code:
db = QSqlDatabase.addDatabase('QSQLITE')
db.setDatabaseName('book.db')
db.open()
model = QSqlQueryModel()
model.setQuery("SELECT * FROM card")
self.tableView.setModel(model)
I am using QSqlQueryModel, Qtablevie, Sqlite3, and able to view all rows in my table. But i want to view only last two rows of my table which are newly inserted rows in to the table. The table has no "id" field and it has numaric and text fields. How is it possible?
Below is the table image:
If you want to get the last 2 elements ordered by any field that indicates the insertion order, in your case "rowid", then you have to use a filter in the SQL command like this:
model.setQuery("SELECT * FROM card ORDER BY rowid DESC LIMIT 2")
Another possible option is to filter the table using QSortFilterProxyModel but it is more inefficient.
I have three numeric fields named A,B,C and wants them in a single filter in tableau and based on the one selected in that filter a line chart will be shown. For e.g. in filter Stages B column is selected and line chart of B is shown. Had it been column A selected then line chart of A would be displayed .
Pardon my way of asking question by showing a image. I just picked up learning tableau and not getting this trick any where.
Here is the snapshot of data
Create a (list) parameter named 'ABC'. With the values
A
B
C
Then create a calculated field
IF ABC = 'A' THEN [column_a]
ELSEIF ABC = 'B' THEN [column_b]
ELSEIF ABC = 'C' THEN [column_c]
END
Something like that should work for you. Check out Tableau training here. It's free, but you have to sign up for an account.
Another way without creating a calculated field. Just pivot the three columns to rows and your field on which you can apply filter is created. Let me show you
This is screenshot of input data
I converted three cols to pivots to get data reshaped like this
After renaming pivoted-fields column to Stages I can add directly this one to view and get my desired result.
Data table simplified - read only:
<table border=1>
<tr><th>Date</th><th>Hours</th></tr>
<tr><td>Jan. 1</td><td>6.5</td></tr>
<tr><td>Jan. 2</td><td>8.5</td></tr>
<tr><td>Jan. 3</td><td>7.5</td></tr>
<tr><td>Jan. 4</td><td>9.0</td></tr>
</table>
Now I would like a pivot table that can calculate the average number of hours - only taking into account the days where the number of hours are > 8.0. Ie. for the above data the pivot should return 8.75.
I've tried with calculated field: =If(Hours > 8, Hours, NULL) - or blanks instead of null or similar.
Please help.
You don't need a Pivot table. Just use =AverageIf([Range of Hours],">8")
Edit:
To achieve through Pivot Table, I can only think of using "measure". But it could be quite slow for 120k rows as the Filter() function need to go through each row one by one.
create a the Pivot Table with the checkbox "Add this data to the Data Model" clicked;
Right-click on the "Range" (or the table name if your data is a table) in the Field List and choose "Add Measure"
Enter the measure's info and use =SUMX(Range, if(Range[Hour]>8, Range[Hour],0))/ COUNTROWS(FILTER(ALL(Range), Range[Hour]>8)) as formula (replace "Range" with Table name if source data is a table). And click "OK".
Then, you can use this measure to get the average value you want.
I have a SharePoint list as a datasource in Power Query.
It has a "AttachmentFiles" column, that is a table, in that table i want the values from the column "ServerRelativeURL".
I want to split that column so each value in "ServerRelativeURL"gets its own column.
I can get the values if i use the expand table function, but it will split it into multiple rows, I want to keep it in one row.
I only want one row per unique ID.
Example:
I can live with a fixed number of columns as there are usually no more than 3 attachments per ID.
I'm thinking that I can add a custom column that refers to "AttachmentFiles ServerRelativeURL Value(1)" but I don't know how.
Can anybody help?
Try this code:
let
fn = (x)=> {x, #table({"ServerRelativeUrl"},List.FirstN(List.Zip({{"a".."z"}}), x*2))},
Source = #table({"id", "AttachmentFiles"},{fn(2),fn(3),fn(1)}),
replace = Table.ReplaceValue(Source,0,0,(a,b,c)=>a[ServerRelativeUrl],{"AttachmentFiles"}),
cols = List.Transform({1..List.Max(List.Transform(replace[AttachmentFiles], List.Count))}, each "url"&Text.From(_)),
split = Table.SplitColumn(replace, "AttachmentFiles", (x)=>List.Transform({0..List.Count(x)-1}, each x{_}), cols)
in
split
I manged to solve it myself.
I added 3 custom columns like this
CustomColumn1: [AttachmentFiles]{0}
CustomColumn2: [AttachmentFiles]{1}
CustomColumn3: [AttachmentFiles]{2}
And expanded them with only the "ServerRelativeURL" selected.
It would be nice to have a dynamic solution. But this will work fine for now.
I have 2 large tables in power pivot and I am trying to reconcile stockpile build grades to crushed stockpile grades. Please see example. I can create pivot table that contains the crushed grades but I am unable to find the right way to bring the stockpile grades though for the reconciliation high lighted in green in the attached example.
Thanks for any help or direction on where to look
In Power Query, create your lookup tables.
1) unique crushers, ID
2) Dates, ID
Here is a function to create a dates table, if you need one. After you invoke the function to get the column of dates, add another column for the ID.
/*--------------------------------------------------------------------------------------------------------------------
PQ Create a Dates Table, returning a single column of dates.
Inputs:
Start Date | Enter the year as yyyy, month as mm, day as dd
End Date | Enter the year as yyyy, month as mm, day as dd
Increments | One row will be returned per increment.
Author: Jenn Ratten
Edits:
07/16/18 | Modified query copied from the internet.
10/01/19 | Converted to a function.
--------------------------------------------------------------------------------------------------------------------*/
let
fDatesTable = (StartYear as number, StartMonth as number, StartDay as number, EndYear as number, EndMonth as number, EndDay as number, IncrementDays as number, IncrementHours as number, IncrementMin as number, IncrementSec as number) as table =>
let
StartDate = #date(StartYear,StartMonth,StartDay),
EndDate = #date(EndYear,EndMonth,EndDay),
Increments = #duration(IncrementDays,IncrementHours,IncrementMin,IncrementSec),
DatesTable = Table.FromColumns({List.Dates(StartDate, Number.From(EndDate) - Number.From(StartDate), Increments)}, type table[Date]),
ChangeType = Table.TransformColumnTypes(DatesTable,{{"Date", type date}})
in
ChangeType
in
fDatesTable
Load all of the tables to the data model.
Go to Power Pivot, diagram view, and create your relationships.
Lookup Crusher to data tables 1 and 2
Lookup Date to data tables 1 and 2
Go to Data View on data tables 1 and 2, add 2 new columns for the lookup IDs. You can specify the column header and the formula at one time by clicking in first cell and using this syntax, then either press enter or click the check mark in the formula bar.
Dates Lookup ID:=RELATED(lookup_dates[ID])
Crusher Lookup ID:=RELATED(lookup_crusher[ID])
Optional, but a good practice....
Right-click the new fields you just created and select "hide from client tools". Also hide the date and crusher fields on both data tables, and the ID field on both lookup tables. When you are creating pivots to summarize data from more than one table, the text fields that you place on your pivot table should be the fields that are shared (aka the lookup tables). This helps to minimize pivots in which the grand totals don't match the sum that you actually see on the table. If you hide the fields, it reminds you of that. There are exceptions of course, but this is a good rule of thumb.
Now create measures to sum the tons and any other math calculations you'd like. With the measures, start simple and let the pivot do the slicing. Put the measures in the values section of the pivot table.
Sum of Source Tons:=sum(Table1[Tons])
Sum of Destination Tons:=sum(Table2[Tons])