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R - filtering rows and summing

By : user84517
Date : October 14 2020, 02:23 PM
Hope this helps I have a data.table with multiple columns. I am trying to sum a subset of one particular column. , Here you go:
code :
example_data[colName == 1 & colTarget == 1, sum(colName)]

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Excel summing and filtering

By : aberope
Date : March 29 2020, 07:55 AM
will help you I have an excel sheet with 3 columns. , I solved it this way
code :
F2 = Jason
F3 = John
F4 = Mary
G2 (copied down) =SUMIFS($C$2:$C$15,$A$2:$A$15,$F2,$B$2:$B$15,"Cash")

H2 (copied down) =SUMIFS($C$2:$C$15,$A$2:$A$15,$F2,$B$2:$B$15,"Credit")

Access report summing data after the filtering

By : Luke
Date : March 29 2020, 07:55 AM
seems to work fine How do you specify the datasource to your report?
You may open the report this way...
code :
DoCmd.OpenReport "MyReport", acViewPreview, , "Id = " & MyId
DoCmd.OpenReport "MyReport", acViewPreview, , , , "Id = " & myId
Private Sub Report_Open(Cancel As Integer)
Me.RecordSource = "Select fields from view where " & OpenArgs
End Sub

Filtering and summing rows in dplyr

By : mykar2un
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further I have a data that I want to first filter some rows and sum those remaining rows.
code :
df_to_aggregate <- df %>% 
    group_by(gr) %>% 
    mutate(rows_to_aggregate = cumsum(y_value == 10)) %>% 
    filter(!(gr == 1 & rows_to_aggregate == max(rows_to_aggregate) & y_value != 10)) %>%
    filter(!(gr == 2 & rows_to_aggregate == 0)) %>%

# A tibble: 10 x 2
# Groups:   gr [2]
     gr y_value
  <dbl>   <dbl>
1     1       2
2     1      10
3     1      10
4     1       8
5     1      10
6     2      10
7     2      10
8     2       6
9     2       8
10    2      10

Summing a hidden column in DataTables after filtering

By : user2303632
Date : March 29 2020, 07:55 AM
Hope that helps Threw together a quick and dirty example to get you started. Basically, the table on 'draw' function will trigger on a search or filter event. From there you iterate through all of the visible filtered rows using this: { filter : 'applied'}
Run this snippet and search for "New York". Then check the console to see how the data and numbers behave.
code :
var mytable = new Object();

var tableData = [
    {name: 'Clark Kent', city: 'Metropolis', numCol: '10', numCol2: '6'},
    {name: 'Bruce Wayne', city: 'New York', numCol: '', numCol2: '12'},
    {name: 'Steve Rogers', city: 'New York', numCol: '30', numCol2: '10'},
    {name: 'Peter Parker', city: 'New York', numCol: '44', numCol2: ''},
    {name: 'Thor Odinson', city: 'Asgard', numCol: '55', numCol2: '15'}

mytable = $('#mytable').DataTable({
    "search": {
        "regex": true
	  sDom: 'lrftip',
    data: tableData,
    columns: [
    	{data: 'name', title: 'Name'},
    	{data: 'city', title: 'City'},
      {data: 'numCol', title: 'Number'},
      {data: 'numCol2', title: 'Hidden Num', visible: false}
    columnDefs: [
        { className: "sum", "targets": [2] },
mytable.on( 'draw', function () {
    console.log( 'Redraw occurred at: '+new Date().getTime() );
    var myCount = 0;
    var totalSum = 0;
    mytable.rows( { filter : 'applied'} ).every(function (rowIdx, tableLoop, rowLoop) {
            var data = this.data();
            console.log('num1: ' + data.numCol + ' num2: ' + data.numCol2);
            if (data.numCol !== '') {
            		//Add to counter                
                myCount += 1;
            if (data.numCol2 !== '') {
            	//Sum it up	
              totalSum += parseInt(data.numCol2); 
        console.log('myCount: ' + myCount + ' totalSum: ' + totalSum);
} );
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Summing a column after filtering Django 2.1

By : absoute_20
Date : March 29 2020, 07:55 AM
should help you out Doing it in JS would be fine, but IMO passing it through the context from the view is better. JS is much harder to do tests for.
If you use Jinja templates (really easy to set up and to use), you could use their filters:
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