My datasource has a column that contains a comma-separated list of numbers.
I want to create a dataset that takes those numbers and turns them into groupings to use in a bar chart.
requirements
numbers will be between 0-17 inclusive
groupings: 0-2,3-5,6-10,11-17
x-axis labels have to be the groupings
y-axis is the percent of rows that contain that grouping
note that because each row can contribute to multiple columns the percentages can add up to > 100%
any help you can offer would be awesome... i'm very new to BIRT and have been stuck on this for a couple days now
Not sure that I understand the requirements exactly, but your basic question "split dataset column into multiple rows" can be solved either using a scripted dataset or with pure SQL (depending on your DB).
Either way, you will need a second dataset (e.g. your data model is master-detail, and in your layout you will need something like
Table/List "Master bound to master DS
Table/List "Detail" bound to detail DS
The detail DS need the comma-separated result column from the master DS as an input parameter of type "String".
Doing this with a scripted dataset is quite easy IFF you understand Javascript AND you understand how scripted datasets work: Create a report variable "myValues" of type object with a default value of null and a second report variable "myValuesIndex" of type integer with a default value of 0.
(Note: this is all untested!)
Create the dataset "detail" as a scripted DS, with one input parameter "csv" of type String and one output parameter "value" of type String.
In the open event of the scripted DS, code:
vars["myValues"] = this.getInputParameterValue("csv").split(",");
vars["myValuesIndex"] = 0;
In the fetch event, code:
var i = vars["myValuesIndex"];
var len = vars["myValues"].length;
if (i < len) {
row["value"] = vars["myValues"][i];
vars["myValuesIndex"] = i+1;
return true;
} else {
return false;
}
For example, for the master DS result row with csv = "1,2,3-4,foo", the detail DS will result in 4 rows with
value = "1"
value = "2"
value = "3-4"
value = "foo"
Using an Oracle DB, this can be done without Javascript. The detail DS (with the same input parameter as above) would then look like:
select t.value as value from table(split(?)) t
For the definition of the split function, see RedFilter's answer on
Is there a function to split a string in PL/SQL?
If you get ORA-22813, you should change the original definition
create or replace type split_tbl as table of varchar2(32767);
to
create or replace type split_tbl as table of varchar2(4000);
as mentioned on https://community.oracle.com/thread/2288603?tstart=0
It's also possible with pure SQL in 11g using regexp_substr (see the same page).
create parameters in the scripted data set. we have to pass or link actual dataset values to scripted dataset parameters through DataSet parameter Binding after assigning the scripted data set to Table.
Related
You will find two columns in the below link. Columns A and B. I want to insert the data in Columns A2 to Cell B2 under this line 'Critical Dates Meeting Comments:'
Dates
function myFunction() {
var sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName("Sheet102");
var targetSheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName("Sheet102");
sheet.getRange("A2:A164").moveTo(targetSheet.getRange("B2:B164"));
}
I used the code but it only transfer the data from A to replace B.
Is there a way to alter this code or maybe use another one to insert data instead of replacing it?
I have a parameter 'type' in a table and it can have multiple values as follows -
human
chimpanzee
orangutan
I have 3 columns related to each type in the table -
human_avg_height, human_avg_weight, human_avg_lifespan
chimpanzee_avg_height, chimpanzee_avg_weight, chimpanzee_avg_lifespan
orangutan_avg_height, orangutan_avg_weight, orangutan_avg_lifespan
So if i select the type as human, the quicksight dashboard should only display the three columns -
human_avg_height, human_avg_weight, human_avg_lifespan
and should not display the following columns -
chimpanzee_avg_height, chimpanzee_avg_weight, chimpanzee_avg_lifespan
orangutan_avg_height, orangutan_avg_weight, orangutan_avg_lifespan
I created the parameter type and in the add calculated fields I am trying to use ifelse to select the columns based on the parameter selected as follows -
ifelse(${type}='human',{human_avg_height}, {human_avg_weight}, {human_avg_lifespan},{function})
I also tried -
ifelse(${type}='human',{{human_avg_height}, {human_avg_weight}, {human_avg_lifespan},{function}})
And -
ifelse(${type}='human',{human_avg_height, human_avg_weight, human_avg_lifespan},{function}})
But none of it is working. What am i doing wrong ?
One way to do this would be to use three different calculated fields, one for all the heights, one for weights and one for lifespan. The heights one would look like this:
ifelse(
${type}='human',{human_avg_height}, ifelse(
${type}='chimpanzee', { chimpanzee_avg_height}, ifelse(
${type}='orangutan',{ orangutan_avg_height},
NULL
)))
Make another calculated field for weights and lifespan and then add these calculated fields to your table, and filter by type.
To make it clear to the viewer what data is present, edit the Title of the visual to include the type:
${type} Data
You have to create one calculated field for each measure using the ifelse with the type to choose the correct vale, but is not necessary to create inner ifelse as skabo did, the if else syntax is ifelse(if, then [, if, then ...], else) so you can define the calculated fields as follows:
avg_height = ifelse(${type}='human', {human_avg_height}, ${type}='chimpanzee', {chimpanzee_avg_height},${type}='orangutan', {orangutan_avg_height}, NULL)
avg_weight = ifelse(${type}='human', {human_avg_weight}, ${type}='chimpanzee', {chimpanzee_avg_weight},${type}='orangutan', {orangutan_avg_weight}, NULL)
avg_lifespan = ifelse(${type}='human', {human_avg_lifespan}, ${type}='chimpanzee', {chimpanzee_avg_lifespan},${type}='orangutan', {orangutan_avg_lifespan}, NULL)
Then use those calculated fields in your visuals.
I'm learning about Power Builder, and i don't know how to use these, (DWitemstatus, getnextmodified, modifiedcount, getitemstatus, NotModified!, DataModified!, New!, NewModified!)
please help me.
Thanks for read !
These relate to the status of rows in a datawindow. Generally the rows are retrieved from a database but this doesn't always have to be the case - data can be imported from a text file, XML, JSON, etc. as well.
DWItemstatus - these values are constants and describe how the data would be changed in the database.
Values are:
NotModified! - data unchanged since retrieved
DataModified! - data in one or more columns has changed
New! - row is new but no values have been assigned
NewModifed! - row is new and at least one value has been assigned to a column.
So in terms of SQL, a row which is not modified would not generate any SQL to the DBMS. A DataModified row would typically generate an UPDATE statement. New and NewModifed would typically generate INSERT statements.
GetNextModifed is a method to search a set of rows in a datawindow to find the modified rows within that set. The method takes a buffer parameter and a row parameter. The datawindow buffers are Primary!, Filter!, and Delete!. In general you would only look at the Primary buffer.
ModifedCount is a method to determine the number of rows which have been modifed in a datawindow. Note that deleting a row is not considered a modification. To find the number of rows deleted use the DeletedCount method.
GetItemStatus is a method to get the status of column within a row in a data set in a datawindow. It takes the parameters row, column (name or number), and DWBuffer.
So now an example of using this:
// loop through rows checking for changes
IF dw_dash.Modifiedcount() > 0 THEN
ll = dw_dash.GetNextModified(0,Primary!)
ldw = dw_dash
DO WHILE ll > 0
// watch value changed
IF ldw.GetItemStatus(ll,'watch',Primary!) = DataModified! THEN
event we_post_item(ll, 'watch', ldw)
END IF
// followup value changed
IF ldw.GetItemStatus(ll,'followupdate',Primary!) = DataModified! THEN
event we_post_item(ll, 'followupdate', ldw)
END IF
ll = ldw.GetNextModified(ll,Primary!)
LOOP
ldw.resetupdate() //reset the modifed flags
END IF
In this example we first check to see if any row in the datawindow has been modified. Then we get the first modified row and check if either the 'watch' or 'followupdate' columns were changed. If they were we trigger an event to do something. We then loop to the next modified row and so on. Finally we reset the modified flags so the row would now show as not being mofified.
I have a column with mixed types of Number and Text and am trying to separate them into different columns using an if ... then ... else conditional. Is there an ISNUMBER() or ISTEXT equivalent for power query?
Here is how to check type in Excel Powerquery
IsNumber
=Value.Is(Value.FromText([ColumnOfMixedValues]), type number)
IsText
=Value.Is(Value.FromText([ColumnOfMixedValues]), type text)
hope it helps!
That depends a bit on the nature of the data and how it is originally encoded. Power Query is more strongly typed than Excel.
For example:
Source = Table.FromRecords({[A=1],[A="1"],[A="a"]})
Creates a table with three rows. The first row's data type is number. The second and third rows are both text. But the second row's text could be interpreted as a number.
The following is a query that creates two new columns showing if each row is a text or number type. The first column checks the data type. The second column attempts to guess the data type based on the value. The guessing code assumes everything that isn't a number is text.
Example Code
Edit: Borrowing from #AlejandroLopez-Lago-MSFT's comment for the interpreted type.
let
Source = Table.FromRecords({[A=1],[A="1"],[A="a"]}),
#"Added Custom" = Table.AddColumn(Source, "Type", each
let
TypeLookup = (inputType as type) as text =>
Table.FromRecords(
{
[Type=type text, Value="Text"],
[Type=type number, Value="Number"]
}
){[Type=inputType]}[Value]
in
TypeLookup(Value.Type([A]))
),
#"Added Custom 2" = Table.AddColumn(#"Added Custom", "Interpreted Type", each
let
result = try Number.From([A]) otherwise "Text",
resultType = if result = "Text" then "Text" else "Number"
in
resultType
)
in
#"Added Custom 2"
Sample output
Put it in logical test format
Value.Type([Column1]) = type number
Value.Type([Column1]) = type text
The function Value.Type returns a type, so by putting it in equation thus return a true / false.
Also, equivalently,
Value.Type([Column1]) = Date.Type
Value.Type([Column1]) = Text.Type
HTH
ISTEXT() doesn't exist in any language I've worked with - typically any numeric or date value can be converted to text so what would be a false result?
For ISNUMBER, I would solve this without any code by changing the Data Type to a number type e.g. Whole Number. Any rows that don't convert will show Error - you can then apply Replace Errors or Remove Errors to handle them.
Use Duplicate Column first if you don't want to disturb the original column.
I agree with Mike Honey.
I have a SKU code that is a mix of Char and Num.
Normally the last 8 Char are Numbers but in some weird circumstances the SKU is repeated with an additional letter but given the same EAN which causes chaos.
by creating a new temp column using Text.End(SKU, 1) I get only the last character. I then convert that column to Whole Number. Any Error rows are then removed to leave only the rows I need. I then delete the temp Column and am left with the Rows I need in the format I started with.
I have an app with a KendoUI DropDownList that is populated with a list of tables from a database and a grid that is initially set with a columns atrribute of an empty array:
...
columns: []
...
The intent is to select a table from the list, send the table name to the server and have the server return JSON data containing the column names and the data from a "SELECT * FROM table" query. The data comes back as expected and the first time through I can use it as follows where "self" is just a reference to the grid in my view/model:
self.columns.removeAll();
for (var i = 0; i < joOutput["Cols"].length; i++) {
var col = { title: joOutput["Cols"][i], field: joOutput["Cols"][i] };
self.columns.push(col);
}
After extracting my data and assigning it to the grids datasource, the grid displays correctly with the correct column headers and data. However, when I select another table from the list and receive data from the server, the grid display does not update, even though it seems the grid columns have been updated though the execution of the above code. The end the result on screen is the column headers are the names of the columns from the first grid and the number of empty lines from the rows returned from the second query.
This dynamic manipulation of columns seems to be very difficult to do as seen by the forum post at http://www.kendoui.com/forums/ui/grid/dynamically-add-new-column.aspx but that post is over a year old now and I would've hoped some progress would've been made on this now, especially in light on the recent webcast on March 20 for the new release. So I guess the question remains: Is what I'm after even possible or am I SOL? Thanks.
You cannot dynamically change the columns of the grid after initialization. You can however create a new grid instance. Don't forget to call the destroy method of the old grid.