I am working with iReport Designer and want to ask how can I calculate an average sum of a column based on a date?
I am working on a report which has a database containing a table two columns: 1st is "sample_time" which has DATE values and the second is a "watt" which has an int value.
What I want to do is take the "watt" column and show it as average on the report (which I can do), and then show the same column "watt", but from averages based on the dates from the other "sample_time" column.
Lets say I have the dates from 2008-01-01 to 2008-01-20 and I want to do a weekly average, lets say from 01-01 to 01-07, how can I do that?
Well, i think this can get easily achieved using JasperReports Groups. You can create a group based on you sample_time column, and calculate the average for each group (which means, for each date, its just like doing a group by on a SQL query). Here there are two quick tutorials:
JasperReports Groups || The Groups
Related
I am having trouble showing the correct totals in my tableau worksheet.
I have supervisors that are part of specific zones that need to complete a certain number of tests in different categories. For example, supervisor 15716 must complete 8 tests in category 1. I need to show the target, which is a number stored in the database and show the actual number of tests in that category that have been completed within a date range. I have it working, but Im not sure if I did it correctly because I can not show any totals.
System target - number stored in database
CountOfSheetID - calculated field
Percent Compliant - calculated field
Try this approach -
First define a calculated field called [Within Date Range?] as
[Date] >= [MyStartDate] AND [Date] <= [LastSelectedDayOfMonth]
and put that new field on the filter shelf, only including data where [Within Date Range?] is True. (You could also just filter the [Date] field if that is flexible enough for you)
The you don't need the CountofSheetId calculated field at all. If you want to know how many records have a non-null value for [SheetID] within your date range, you can simply drop [SheetID] on a shelf and choose to treat it as Measure with the aggregation function COUNT()
Then just build your visualization to show the counts you want (not percentages, the actual counts)
Finally, you can convert counts into Percentages by clicking on the pills for your Measures and choosing Percentage under Quick Table Calcs. You'll want to experiment with the "Compute Using" setting to tell Tableau how to compute your percentages -- i.e. define percentage of "what".
Percentages are implemented as table calcs in Tableau. Read the help to understand table calcs, especially the description of partitioning and addressing.
I'm doing a break fix on a Tableau report visualization that shows the outcomes of clients by client id for a given year by showing a running sum of distinct count of client id or RUNNING_SUM(COUNTD([ID])). The X axis of the visualization is the initial date of contact with the client. Occasionally, due to errors in the data or weird behavior, there are clients that have two initial dates, listed as two separate data rows where the column Initial Date will have different values but they will share an ID.
Currently, the visualization shows such people with their chronological last Initial Date and I need it to dedup such that the visualization shows them as starting from the chronological first Initial Date.
I could create a calculated field for if there are two IDs with multiple non identical Initial Dates then use the first, but I'm not sure how to create a calculated field that can groupby or otherwise check multiple dates per ID.
In Python/psuedo code, it would be something like
For ID in IDS:
if len(groupby.IDS.ID)>1:
then Initial_Date = min(InitialDate)
But I have to do the transformation in Tableau
Keep everything the same, but create a calculated field named "Initial Contact Date" with the calculation:
{FIXED [ID]: MIN(InitialDate)}
Then replace the date field on the X axis (Columns) with this date field instead.
That LOD Expression loops through all rows given the ID, and returns only the min one.
I'm trying to find a way to create a table like the one above, but instead of having columns of months I would like to have columns of MTD, QTD, YTD for all selected measure values. I created calculated fields on the [Date] field but when I try to use that it still splits the data in to separate columns of months and quarters... I'm using two data sources and they are linked on the [Date] field. If I try to put two of my calculated fields in the columns bar it just combines them like 'MTD/YTD'. How can I get them to display as separate columns?
I know this is strange because there will be overlapping data (everything in the MTD will also be in the QTD and the YTD).
I found a way to do this. I created a calculated field on the date field and assigned 'MTD' to all records from the last month. Then I assigned 'QTD' to all records from the start of the quarter to the day before the start date of the 'MTD' records. Then I assigned 'YTD' to all records from the start of the year to the day before the start of the 'QTD' records. (this way there are no overlapping records).
After that I just did a quick table calc to make each of them a 'running total' table (across).
I created parameters for the dates so the can easily be updated.
I need an expression to take an existing column and recreate this column over and over before another column/s where the column name contains either "Monday" or the date of the column falls on Monday.
The reason I need this expression is to repeat a header column in a pivoted report that is pivoting start/enddate parameter. So if a user selects to run the report for this month, they should get 31 columns (for each date/day) and header repeating before every Monday.
Make sure your dataset contains all the dates in your date range. If not create a date table and cross join to it. Don't pivot the results, let SSRS do that bit. Once your dataset has all the dates, you can use a matrix in your report and drop the date colum into the column group. This will give you one column for each date in your dataset. I'm not at my PC at the moment but if you need any more help, show an example of your dataset and I'll put together a quick sample report.
I'm trying to sum the data points by Months instead of individual days. The data is originating from an SQL Query so I'm thinking this may be the only way to do that. However, I would much rather do this inside of Report Builder 3.0. Any hints on how to do this?
For example, I want to see the number of tickets for the Months of December and January as only two seperate data points.
can you create a new field ( calculated perhaps) onthe dataset and group by that?
else you should be able to create an expression on the graph's group that groups by Month of a certain field.