I have embedded data that I have imported into Qualtrics use a web service block. The data comes from a .json file and reads something like 0.male, 1.male, 2.male, etc.
I have been trying to read this into my survey using the Qualtrics.SurveyEngine.getEmbeddedData method but without luck.
I'm trying to do something that takes the form.
let n = 2
Qualtrics.SurveyEngine.getEmbeddedData(n + ".male")
but this has been returning a NULL result. Is it possible to read embedded data that starts with a number?
Also see:
https://community.qualtrics.com/XMcommunity/discussion/15991/read-in-embedded-variables-using-a-loop#latest
The issue isn't the number, it is the dot. getEmbeddedData() doesn't work when the name contains a dot. See https://stackoverflow.com/a/51802695/4434072 for possible alternatives.
Related
I am noob with structured data implementation and don't have any code knowledge.
I have been looking for a week how to solve a warning with price in Google structured data testing tool.
My prices are with a comma which is not accepted by Google.
By checking the http://schema.org/price it tells me that "Use '.' (Unicode 'FULL STOP' (U+002E)) rather than ',' to indicate a decimal point. Avoid using these symbols as a readability separator."
I have a CSS variable element #PdtPrixRef named in a variable "Product-price" with a comma "12.5" but I can't find how to replace it in my structured data with the value "12.5"... Someone to help me?
Hereafter my actual script :
My actual GTM script
Should I add something to my script or making an VARIABLE (Custom Js)?
I think it's something like
value.replace(",", ".")
But I do't know how to write the full proper function from beginning to end...
Yes you can just create a Custom JavaScript Variable
Here is the code
function(){
var price = {{Product-price}};
return price.replace("," , ".");
}
Then using this variable to your JSON-LD script.
I want to read all the files in the xlsx format starting with a string named "csmom". I have used list.files function. But I do not know how to set double pattern. Please see the code. I want to read all the files starting csmom string and they all should be in .xlsx format.
master1<-list.files(path = "C:/Users/Admin/Documents/csmomentum funal",pattern="^csmom")
master2<-list.files(path = "C:/Users/Admin/Documents/csmomentum funal",pattern="^\\.xlsx$")
#jay.sf solution works for creating a regular expression to pull out the condition that you want.
However, generally speaking if you want to cross two lists to find the subset of elements that are contained in both (in your case the files that satisfy both conditions), you can use intersect().
intersect(master1, master2)
Will show you all the files that satisfy pattern 1 and pattern 2.
I have the data as below manner.
<Status>Active Leave Terminated</Status>
<date>05/06/2014 09/10/2014 01/10/2015</date>
I want to get the data as in the below manner.
<status>Active</Status>
<date>05/06/2014</date>
<status>Leave</Status>
<date>09/10/2014</date>
<status>Terminated</Status>
<date>01/10/2015</date>
please help me on the query, to retrieve the data as specified above.
Well, you have a string and want to split it at the whitestapces. That's what tokenize() is for and \s is a whitespace. To get the corresponding date you can get the current position in the for loop using at. Together it looks something like this (note that I assume that the input data is the current context item):
let $dates := tokenize(date, "\s+")
for $status at $pos in tokenize(Status, "\s+")
return (
<status>{$status}</status>,
<date>{$dates[$pos]}</date>
)
You did not indicate whether your data is on the file system or already loaded into MarkLogic. It's also not clear if this is something you need to do once on a small set of data or on an on-going basis with a lot of data.
If it's on the file system, you can transform it as it is being loaded. For instance, MarkLogic Content Pump can apply a transformation during load.
If you have already loaded the content and you want to transform it in place, you can use Corb2.
If you have a small amount of data, then you can just loop across it using Query Console.
Regardless of how you apply the transformation code, dirkk's answer shows how you need to change it. If you are updating content already in your database, you'll xdmp:node-delete() the original Status and date elements and xdmp:node-insert-child() the new ones.
I am using Freebase dump data to use RDFs and combine it with the annotation ClueWeb09 data. But, I face with the following problem:
clueweb09-en0000-00-00011 ISO-8859-1 English language 17964 17980 0.999813 0.000165 /m/02h40lc
But, when I read Freebase dump data with (Java & Ubuntu)the mid is mentioned /m.02h40lc when I read the gz file. I want to know that I did something wrong OR I should change /m.02h40lc to /m/02h40lc manually.
Yes, you need to replace all slashes (/) in identifiers with periods (.) when working with the current data dumps. This transformation was necessary to make URIs containing the identifiers work properly. This is true not only for MIDs, but also other identifiers used for types, namespaces, etc. For example, type/object/name becomes type.object.name in the data dump.
Setting:
I have (simple) .csv and .dat files created from laboratory devices and other programs storing information on measurements or calculations. I have found this for other languages but nor for R
Problem:
Using R, I am trying to extract values to quickly display results w/o opening the created files. Hereby I have two typical settings:
a) I need to read a priori unknown values after known key words
b) I need to read lines after known key words or lines
I can't make functions such as scan() and grep() work.
c) Finally I would like to loop over dozens of files in a folder and give me a summary (to make the picture complete: I will manage this part)
I woul appreciate any form of help.
ok, it works for the key value (although perhaps not very nice)
variable<-scan("file.csv", what=character(),sep="")
returns a charactor vector of everything
variable[grep("keyword", ks)+2] # + 2 as the actual value is stored two places ahead
returns characters of seaked values.
as.numeric(lapply(variable, gsub, patt=",", replace="."))
for completion: data had to be altered to number and "," and "." problem needed to be solved.
in a line:
data=as.numeric(lapply(ks[grep("Ks_Boden", ks)+2], gsub, patt=",", replace="."))
Perseverence is not to bad of an asset ;-)
The rest isn't finished, yet, I will post once finished.