I have two variables in the detail tab using Delphi report builder and the running totals are correct. It is getting its data from two sets of the client data sets within the Delphi code.
Now I need to get the grand total of the total that comes from the variables in the details band to calculate in the summary band. How would I go about doing this? Would I declare a global variable and set that? and if yes then how would I use that global variable with two different totals? Thanks in advance.
(I assume you mean Digital Metaphor's Report Builder - not sure if that's bundled with Delphi now or not...)
To create your grand totals:
Just create a summary band in the designer: Report->Summary, and put two DBCalc components in there. Assign their data fields to the fields you want to summarize as grand totals. This works because the DBCalc component is context aware - it knows what sort of band it lives in: If it's in a group footer, it aggregates for the group, if it's in the report summary section, it aggregates for the whole report.
Important: Consider if you need to summarize your subtotals, or directly aggregate all the data in the report. Depending on the data types and how you handle rounding, truncating, etc, there could be a difference between the two that causes you to come up with results that you aren't expecting.
BTW, I'm not sure why you're referring to variables - you should use DBCalc components for all your summations - they work automatically and are very easy to use, provided you put them in the correct band and feed them the correct data.
(All this is readily available in the Report Builder docs: Report Builder - Documentation | Developer's Guide, which is probably why this question was downvoted. You are supposed to do some preliminary research before posting a question here. )
Related
I am trying to scrape a website for financials of Indian companies as a side project & put it in Google Sheets using XPATH
Link: https://ticker.finology.in/company/AFFLE
I am able to extract data from elements that have a specific id like cash, net debt, etc. however I am stuck with extracting data for labels like Sales Growth.
tried
Copying the full xpath from console, //*[#id="mainContent_updAddRatios"]/div[13]/p/span - this works, however, i am reliable on the index of the div (13) and that may change for different companies, hence i am unable to automate it.
Please assist with a scalable solution
PS: I am a Product Manager with basic coding expertise as I was a developer few years ago.
At some point you need to "hardcode" something unless you have some other means of mapping the content of the page to your spreadsheet. In your example you appear to be targeting "Sales Growth" percentage. If you are not comfortable hardcoding the index of the div (13), you could identify it by the id of the "Sales Growth" label which is mainContent_lblSalesGrowthorCasa.
For example, change your
//*[#id="mainContent_updAddRatios"]/div[13]/p/span
to:
//*[#id = "mainContent_updAddRatios"]/div[.//span/#id = "mainContent_lblSalesGrowthorCasa"]/p/span
which is selecting the div based on the div containing a span with id="mainContent_lblSalesGrowthorCasa". Ultimately, whether you "hardcode" the exact index of the div or "hardcode" the ids of the nodes, you are still embedding assumptions regarding the structure of page.
Thanks #david, that helped.
Two questions
What if the structure of the page would change? Example: If the website decided to remove the p tag then would my sheet fail? How do we avoid failure in such cases?
Also, since every id is unique, the probability of that getting changed is lesser than the index being changed. Correct me, if I am wrong?
What do we do when the elements don't have an id like Profit Growth, RoE, RoCE etc
I am trying to build a Paginated report with many number of parameters [8] and with huge number values [100-1000] for each parameter. Because of the complexity in the UI, I intend to develop two reports.
Report [.pbix] where the user can select the parameters and values
The paginated report [.rdl] that's the actual result with pages of data.
The Report 1 will be calling the report 2, based on a generated URL. THis works for a limited number of parameters but since the list is huge, the reports are not generated because of the limitation on the URL length on the browser[chrome&IE]. I am looking for a solution that can work with an indefinite number of parameters. Trying to make this work with FORM and POST method so the parameters can be sent within the header itself.
Have looked into the https://community.powerbi.com/t5/Service/Paginated-Report-Using-URL-Parameters-and-Select-ALL/td-p/8... but the solution doesnt always work as the URL length is huge.
Is there a solution that can work with any number of parameters. preferably something that uses FORM/POST method. Open to any other suggestions - please let me know.
Regards,
Sasi.
Unfortunately I am sorry to inform you that according to Microsoft there are some strong limitations with transferring selected parameters when directing the user into Report Builder.
you can define no more than 10 filters conditions.
URL bytes length is very limited
For example, even if you use only one slicer, if the user selects 24 different values in that slicer it will break the URL toward Report Builder.
What is the exact Business Need? Either the business accept some strong limitations or you need to think of another implementation.
An example of possible limitation to propose the business is: Power BI passes only Year and Month to Report Builder, next, the user in Report Builder need to re-select the additional parameters.
I've been working on building a data analysis sheet, which is quite verbose at the moment and a bit more complicated than it should be as I've been trying to figure this out. Please note, I work doing student data in a school.
Basically, I have two sets of input data:
Data imported from a CSV file that includes test data and codes for Common Core Standards and the questions tied to those standards as a whole class summary
Data imported from a CSV file that includes individual scores by question
I am looking to construct 2 views:
A view that collates and displays data of individual standards per student that includes a dropdown to change the standard allowing a teacher to see class performance by standard in a broad view. The drop-down is populated dynamically from the input data (so staff could eventually dump data and go directly to reports)
A view that collates and displays data of individual students broken down by performance on each standard allowing a teachers to see the broader spectrum for each student. The student drop-down is populated from Source list 2.
I have been able to build the first view, but am struggling with the second. I've been able to separate the question codes and develop strings of cell references to the scoring data, including a dynamic reference to the row the selected student's score data appears on in the second source set from above.
I tried to pass through an indirect() formula into a sum() so as to process for a mean evaluation, and have encountered errors. I think SUM() doesn't process comma-separated cell reference lists from Indirect() [or in general] or there is something that I am missing to help parse it. Here is the formula I have tried:
=Sum(vlookup(D7,CCCodeManip!$A:$C,3,false))
CCCodeManip!C:C includes the created text (based on the dynamic standards and question codes, etc), here's an example of what would be found there:
'M-ADI'!M17, 'M-ADI'!N17, 'M-ADI'!O17, 'M-ADI'!P17, 'M-ADI'!Q17, 'M-ADI'!R17, 'M-ADI'!J17
I need these to be dynamic so that teachers can input different sets of standards, question, and student data and the sheet automatically collates and reports it in uniform ways (with an upward bound of 20 standards as I currently have it built)
Here is a link to the sheet I built, with names and ID anonymized. There's a CRAP TON of sub-tabs, and that's really just being able to split apart and re-combine data neatly without things error-ing out due to data overlapping, aside from a few different attempts and different approaches to parse the cell reference strings.
The first two tabs are the current status of the data views. I plan to hide a bunch of the functional stuff that is there to help pull data accurately.
The 3rd and 4th tab are the source data sets. 5th is a modified version of source data that allows me to reference things better, and I've tried to arrange the sheets most relevant towards the front of the set.
https://docs.google.com/spreadsheets/d/1fR_2n60lenxkvjZSzp2VDGyTUO6l-3wzwaV4P-IQ_5Y/edit?usp=sharing
Some have a different approach? I am aware that I might be as far as I cn go with this and perhaps should consider scripts - my coding experience is a bit out of date and my strength is more with the formulas, but I can dig into things with some direction, if anyone can help.
Ok so I noticed something.
It seems the failure is in the indirect reference:
=indirect(CCCodeManip!C3)
The string I am trying to parse via indirect is going to be generated into something like this, dynamic from reference to other data:
'M-ADI'!M17, 'M-ADI'!N17, 'M-ADI'!O17, 'M-ADI'!P17, 'M-ADI'!Q17, 'M-ADI'!R17, 'M-ADI'!J17
The indirect returns the error that the above string is not a cell reference with the #REF code.
Can someone give me a clue as to what is causing this? I am going to dig into the docs on Indirect() from google and will post anything that I find.
Perhaps it is that indirect() can't handle lists, but only specific references and arrays, which may require me a to build a sheet to do the SUM formula on for each question set (?)
So I think I figured it out, but i Ended up parsing the data differently, basically doing the sum based on individual cell references and a separate sum formula, bypassing the need to do it all at once, it jsut makes my sheets a lot dirtier! I am eventually going to see if code could do it better if I need to, but this is closed for now.
Basically, I did individual cell references to recall scores in a row, then used a separate SUM formula, and created references / structures to be able to pull those sum() results. Achieves the same end, but with extra crap on the sheet.
I've just started using SPSS after using R for about five years (I'm not happy about it, but you do what your boss tells you). I'm just trying to do a simple count based on a categorical variable.
I have a data set where I know a person's year of birth. I've recoded into a new variable so that I have their generation as a categorical variable, named Generation. I also have a question that allows for multiple responses. I want a frequency of how many times each response was collected.
I've created a multiple response variable (analyze>multiple response > Define variable sets). However, when I go to create crosstabs, the Generation variable isn't an option to select. I've tried googling, but the videos I have watched have the row variables as numeric.
Here is a google sheet that shows what I have and what I'm looking to achieve:
https://docs.google.com/spreadsheets/d/1oIMrhYv33ZQwPz3llX9mfxulsxsnZF9zaRf9Gh37tj8/edit#gid=0
Is it possible to do this?
First of all, to double check, when you say you go to crosstabs, is this Analyze > Multiple Response > Crosstabs (and not Analyze > Descriptive Statistics > Crosstabs)?
Second, with multiple response data, you are much better off working with Custom Tables. Start by defining the set with Analyze > Custom Tables > Multiple Response Sets. If you save your data file, those definitions are saved with it (unlike the Mult Response Procedure).
Then you can just use Custom Tables to tabulate mult response data pretty much as if it were a regular variable, but you have more choices about appropriate statistics, tests of significance etc. No need in the CTABLES code to explicitly list the set members.
Try CUSTOM TABLES, although this is an additional add-on modules that you need to have a licence for:
CTABLES /TABLE Generation[c] by (1_a+ 1_b + 1_c)[s][sum f8.0 'Count'].
I am having a hard time generating precisely the frequency table I am looking for using SPSS.
The data in question: cases (n = ~800) with categorical variables DX_n (n = 1-15), each containing ICD9 codes, many of which are the same code. I would like to create a frequency table that groups the DX_n variables such that I can view frequency of every diagnosis in this sample of cases.
The next step is to test the hypothesis that the clustering of diagnoses in this sample is different than that of another. If you have any advice as to how to test this, that would be really appreciated as well!
Thanks!
Edit: My attempts:
1) Analyze -> Descriptive Statistics -> Frequencies; then add variables DX_n (1-15) and display frequency charts. The output is frequencies of each ICD9 code per DX_n variable (so 15 tables are generated - I'm hoping to just have one grouped table).
2) I tried adjusting the output format to organize by variable and also to compare variables but neither option gives the output I'm looking for.
I think what you are looking for CTABLES. It can do parallel columns of frequencies, and it includes a column proportions test that can see whether the distributions differ
Thank you, JKP! You set me on exactly the right track. I'm not sure how I overlooked that menu. Just to clarify in case anyone else comes along needing to figure this out:
Group diagnosis variables into a multiple response set using Analyze > Custom Tables > Multiple Response Sets. Code the variables as categories.
http:// i.imgur.com/ipE9suf.png
Create a custom table with your new multiple response set as a row and the subsets to compare as columns. I set summary statistics to compute from rows and added the column n% column (sorted descending).
http:// i.imgur.com/hptIkfh.png
Under test statistics, include a column proportions z-test as JKP suggested.
http:// i.imgur.com/LYI6ZRl.png
Behold, your results:
http:// i.imgur.com/LgkBA8X.png
Thanks again, and best of luck to anyone else who runs across this.
-GCH
p.s. Sorry everyone, I was going to post images but don't have enough reputation points yet. Images detailing the steps in the GUI can be found at the obfuscated links above.