Is there any parser tool for HAR(Http archive) which generates csv or excel output of page loading times? I know there are HAR viewer but I need the output as csv for plotting.
Note: It is easier to write a parser and generate the csv output(which I have done) but before reinventing the wheel, I just want to check for existing tools.
Yes, you got the har2csv (command line tool), here, and you can pull the zip file here.
Related
Similar to the question below, I was wondering whether there is a way to open .yxdb files in R?
Open Alteryx .yxdb file in Python?
YXDB is Alteryx's own native format. I haven't seen or heard of anything else that can open it.
You could change your workflow to write to a CSV (or other compatible file) as well as writing to the YXDB file.
AFAIK there is no way yet for R to read yxdb files. I also export my Alteryx workflows to CSVs or use the R tool, read.Alteryx, and saveRDS to save it as a fast-loading binary file.
I would like to open an Excel file saved as webpage using R and I keep getting error messages.
The desired steps are:
1) Upload the file into RStudio
2) Change the format into a data frame / tibble
3) Save the file as an xls
The message I get when I open the file in Excel is that the file format (excel webpage format) and extension format (xls) differ. I have tried the steps in this answer, but to no avail. I would be grateful for any help!
I don't expect anybody will be able to give you a definitive answer without a link to the actual file. The complication is that many services will write files as .xls or .xlsx without them being valid Excel format. This is done because Excel is so common and some non-technical people feel more confident working with Excel files than a csv file. Now, the files will have been stored in a format that Excel can deal with (hence your warning message), but R's libraries are more strict and don't see the actual file type they were expecting, so they fail.
That said, the below steps worked for me when I last encountered this problem. A service was outputting .xls files which were actually just HTML tables saved with an .xls file extension.
1) Download the file to work with it locally. You can script this of course, e.g. with download.file(), but this step helps eliminate other errors involved in working directly with a webpage or connection.
2) Load the full file with readHTMLTable() from the XML package
library(XML)
dTemp = readHTMLTable([filename], stringsAsFactors = FALSE)
This will return a list of dataframes. Your result set will quite likely be the second element or later (see ?readHTMLTable for an example with explanation). You will probably need to experiment here and explore the list structure as it may have nested lists.
3) Extract the relevant list element, e.g.
df = dTemp[2]
You also mention writing out the final data frame as an xls file which suggests you want the old-style format. I would suggest the package WriteXLS for this purpose.
I seriously doubt Excel is 'saved as a web page'. I'm pretty sure the file just sits on a server and all you have to do is go fetch it. Some kind of files (In particular Excel and h5) are binary rather than text files. This needs an added setting to warn R that it is a binary file and should be handled appropriately.
myurl <- "http://127.0.0.1/imaginary/file.xlsx"
download.file(url=myurl, destfile="localcopy.xlsx", mode="wb")
or, for use downloader, and ty something like this.
myurl <- "http://127.0.0.1/imaginary/file.xlsx"
download(myurl, destfile="localcopy.csv", mode="wb")
I want to open a .jl file and convert it to a readable file preferably in .xls format.
I do not have any any idea about Julia language.
Is there a file opener for jl files?
I came here with the same question, but since the file I was looking at was clearly JSON data, I did some more searching.
The .jl file extension also refers to JSON lines, sometimes instead a .jsonl extension.
More here: http://jsonlines.org/
You can search for .json to Excel to find a converter, e.g. https://json-csv.com/ (this worked fine on my JSON lines file).
A .jl file is a julia script.
It is source code.
Not data.
You can open it up in any text editor, e.g. notepad on windows.
However, it won't normally contain anything useful to you unless you want to edit that code.
(It might contain some array literals that you want, I guess)
Perhaps you mean to ask "How can I open a .jld file"?
Which is a julia HDF5 file.
In which case please ask another question.
As I see, Julia is a script language therefor the file can be opened in a text editor like Notepad++, Vim, etc. Do not use word processor (like LibreOffice Writer) if you want to modify it, but it's OK if you want to read only.
To get started:
https://docs.julialang.org/en/stable/
I want to save my code in R. I did:
save(Data,file="Code_Data.R")
When I open the file in R again, the code looks like hieroglyphics.
How can I save the code in a way, that I can read the code in an editor or RStudio again?
save outputs a binary copy of the objects you tell it to save, not R code. Because you are naming this file with a ".R" extension, RStudio is blindly trying to open this binary file as R code, and you are seeing the results of that mess.
Technically, the R language doesn't care what the extension of the file is. As long as you know that the file contains, you can load it back in with the command load("Code_Data.R"). However, if you want to get RStudio to recognize that this is actually a file containing binary data and not R code, try saving the file with the canonical ".RData" extension:
save(Data, file="Code_Data.RData")
Using the ".RData" extension will also help you and other programmers who look at your code avoid this confusion in the future.
Plain and simple: is there a way to read (not run) .sas files on osx in order to rewrite old SAS programs in another language, e.g. R? Note I do not refer to reading sas data files – I know there are several ways, I am just interested in reading old SAS code.
.sas files containing SAS code should just be a text file. You can use any text editor that you like to open and modify these files. Since the system probably doesn't have .sas files associated with any particular program you can either use the "Open with" option when "right-clicking" on the file or you could open the editor first and then open the file from within the editor.
TextEdit will work. Another editor that I like is Komodo Edit.