I have created a relatively complex PowerApp where I ran into an issue related to extracting data from a Collection.
The collection is populated by a simple ClearCollect(cachedKPI, '[dbo].[KPI]').
The KPI table has two columns KPIId (unique values and primary key) and KPIName. The first is a int column and the other nvarchar(200).
When displaying the two columns in a Data Table in PowerApp I noticed that out of a total of 188 rows only 150 was displayed. If I took the dbo.KPI table as the source of the Data Table all 188 columns were displayed as expected.
I created a new PowerApp without any other context and ran into the same issue.
When I looked closer at the data I saw that row number 151 to 160 had the same KPIName but different KPIId which in itself this is not an issue.
The KPIName of these rows were 'Retention > 90% (no loss of key staff)'.
After having performed various tests I tried to alter the KPIName. I found that if I renamed the KPIName of row 151 to 'a' I could suddenly also see row 151 (but still not 152 to 160) in the collection Data Table, which let me to believe the error might be due to special characters.
After a lot of testing I found something interesting. If I removed/replaced the 'y' in 'Retention > 90% (no loss of key staff)' everything was working as expected!
So having renamed the 9 rows called 'Retention > 90% (no loss of key staff)' to 'Retention > 90% (no loss of kek staff)' my PowerApp was suddenly working again.
I am not sure what the actual problem is. Using 'y' in itself does not seem to provide a problem, so it must be some combination of characters.
Has anyone experienced something similar and might be able to provide a solution?
Related
Working in Excel365, what would you say is the most resource-effective formula for building an index from percentage changes?
Assume you have a time series of percentage changes of any variable (e.g. daily changes in a stock price) in A2:A1000 in the form of a dynamic array, and you want to build an index starting at 100 in column B. In its simplest form, you would enter 100 in B1, enter B1*(1+A2) in B2 and copy that formula down to (in this case) B1000. But how would you suggest to do this in the most resource effective way, so that B1:B1000, or at least B2:B1000 becomes a dynamic array following the length of A2#, i.e. if A2# is 2345 rows (instead of 999 rows as in the example above), B1# becomes 2346 rows (or B2# 2345 rows if that solution is simpler)?
I do not have access to the values of the underlying variable, only to the percentage change, and I have many columns I need to build indexes for, therefore it is preferable if it is as resource-effective as possible.
Thanks a million for any ideas!
Kindly,
Johan
P.S. Using OFFSET() to get a dynamic array doesn't work, since the calculation is iterative (index value at t+1 is dependent on the index value at t), thus yielding a circular reference error. Instead I have tried BYROW() with LAMBDAs without much success and I'm not convinced that they are very resource-effective anyway. A seemingly simple problem that has thrown me into a dead-end street...
I have had this problem for ages. Sometimes I am looking for the index of a column in a dataset, with View() in Rstudio. I already know I have to watch out with this though. After working on the datasets (adding and removing columns), the column number shown in Rstudio, does not match the actual index of the column. Often Rstudio even gives me a column that is out of range (i.e. 240 when the dataset only has 145 columns). No amount of updates or refreshing has made this issue any better. Even making a copy does not solve the issue. Does anyone know where this problem stems from, whether there is a fix or is going to be a fix?
The Issue:
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The actual columns:
I previously worked on a project where we examined some sociological data. I did the descriptive statistics and after several months, I was asked to make some graphs from the stats.
I made the graphs, but something seemed odd and when I compared the graph to the numbers in the report, I noticed that they are different. Upon investigating further, I noticed that my cleaning code (which removed participants with duplicate IDs) now results with more rows, e.g. more participants with unique IDs than previously. I now have 730 participants, whereas previously there were 702 I don't know if this was due to updates of some packages and unfortunately I cannot post the actual data here because it is confidential, but I am trying to find out who these 28 participants are and what happened in the data.
Therefore, I would like to know if there is a method that allows the user to filter the cases so that the mean of some variables is a set number. Ideally it would be something like this, but of course I know that it's not going to work in this form:
iris %>%
filter_if(mean(.$Petal.Length) == 1.3)
I know that this was an incorrect attempt but I don't know any other way that I would try this, so I am looking for help and suggestions.
I'm not convinced this is a tractable problem, but you may get somewhere by doing the following.
Firstly, work out what the sum of the variable was in your original analysis, and what it is now:
old_sum <- 702 * old_mean
new_sum <- 730 * new_mean
Now work out what the sum of the variable in the extra 28 cases would be:
extra_sum <- new_sum - old_sum
This allows you to work out the relative proportions of the sum of the variable from the old cases and from the extra cases. Put these proportions in a vector:
contributions <- c(extra_sum/new_sum, old_sum/new_sum)
Now, using the functions described in my answer to this question, you can find the optimal solution to partitioning your variable to match these two proportions. The rows which end up in the "extra" partition are likely to be the new ones. Even if they aren't the new ones, you will be left with a sample that has a mean that differs from your original by less than one part in a million.
I've been using the REDCapR package to read in data from my survey form. I was reading in the data with no issue using redcap_read until I realized I needed to add a field restriction to one question on my survey. Initially it was a short answer field asking users how many of something they had, and people were doing expectedly annoying things like spelling out numbers or entering "a few" instead of a number. But all of that data read in fine. I changed the field to be a short answer field (same type as before) that requires the response to be an integer and now the data won't read into R using redcap_read.
When I run:
redcap_read(redcap_uri=uri, token=api_token)$data
I get the error message that:
Column [name of my column] can't be converted from numeric to character
I also noticed when I looked at the data that that it read in the 1st and 6th records of that column (both zeros) just fine (out of 800+ records), but everything else is NA. Is there an inherent problem with trying to read in data from a text field restricted to an integer or is there another way to do this?
Edit: it also reads the dates fine, which are text fields with a date field restriction. This seems to be very specific to reading in the validated numbers from the text field.
I also tried redcapAPI::exportRecords and it will continue to read in the rest of the dataset, but reads in NA for all values in the column with the test restriction.
Upgrade REDCapR to the version on GitHub, which stacks the batches on top of each other before determining the data type (see #257).
# install.packages("remotes") # Run this line if the 'remotes' package isn't installed already.
remotes::install_github(repo="OuhscBbmc/REDCapR")
In your case, I believe that the batches (of 200 records, by default) contain different different data types (character & numeric, according to the error message), which won't stack on top of each other silently.
The REDCapR::redcap_read() function should work then. (If not, please create a new issue).
Two alternatives are
calling redcap_read_oneshot with a large value of guess_max, or
calling redcap_read_oneshot with guess_type = TRUE.
I am using PHPExcel_v1_8, I have implemented formula to some cells like following.
$objPHPExcel->getActiveSheet()->SetCellValue('G4','=SUBTOTAL(2,B6:B'.$row.')');
$objPHPExcel->getActiveSheet()->SetCellValue('H4','=ROUND(SUBTOTAL(9,Q6:Q'.$row.'),2)');
I also tried like
$objPHPExcel->getActiveSheet()->setCellValueByColumnAndRow(6,4,'=SUBTOTAL(2,B6:B'.$row.')');
Here $row means total number of rows.
But when I filter any column then it append/override value of formula applied cell. Please see following filtered total row.
I want only latest value should in filtered total row means want to replace existing value. Right now, I am getting correct value but why it is overrided? Any suggestions what can be the solution?
You've actually discovered a genuine bug here.
I wasn't aware when I implemented the SUBTOTAL logic in PHPExcel that it only worked with visible rows, and ignored hidden rows. Can you please raise an issue on the github repo
However, reading through the MS Excel docs for SUBTOTAL, a function of 2 or 9 will return the result for all rows in the range (hidden or otherwise) while 102 or 109 will return the result only for visible rows