If you read my last post, you might be wondering what happened to Step 1! Well Step 1 in comparing XBRL is about actually accessing the stuff in the first place in a way that enables you to do comparisons, which is what I've been droning on about in most of my previous posts and what XBRL to XL is all about.
So it would be a bit rubbish if you couldn't actually access all the data, like in XBRL to XL where you can't currently download quarterlies. So rubbish in fact it's time to change this. As from Monday quarterly data will be available and I will talk here about the issues of accessing quarterly data in XBRL and how we have combated them to maximise comparability and transparency.
Showing posts with label access. Show all posts
Showing posts with label access. Show all posts
Friday, 7 September 2012
Thursday, 15 December 2011
XBRL from the Arelle Command Line
So continuing on from my previous post, what else is there to say about Arelle?
Through the various windows and tabs, you can see just about every piece of information that's contained in a filing's XBRL files minus the confounded XML. For example the "Presentation" and "Calculation" tabs two along from the "Fact Table" tab basically show you what's in a filing's "_pre.xml" and "_cal.xml" files, demonstrating the relationships between the various data items.
The app is well supported with documentation available with the install and on the web site. The development team seem active, replying to a query I raised within 24 hours.
The command line tools are of particular interest as it means there is the potential to automate the extraction of data to Excel. And as an analyst what you want is an automated "one button" solution. You don't want to be wasting time messing around with the data you wish to analyse.
The command line executable enables you to set arguments to extract the XBRL (or more precisely and more usefully! - the data minus the XBRL) to a "csv" file that can be opened directly in Excel or loaded into (or referenced from) an existing spreadsheet. There are seven options but only three are of any interest. "--csvFacts" enables you to extract the "Fact List" (what's in the Fact List tab). Note this is not the Fact Table (darn!) and is essentially all the data items in the instance document. The "--csvPre" and "--csvCal" options unsurprisingly serve up the "Presentation" and "Calculation" tabs respectively.
Using the command line is best done using a batch file (.bat) which can be scheduled to run automatically by the operating system. An example batch file for use with the "csv" options is provided in the "scripts" directory of the Arelle install. The file is called "exportCsvFromXbrlInstance.bat". You can edit this to create the "csv" file you require. Don't double click on it to edit it as it will run! but open it from a text editor.
As you can see from the batch file, you can customise the columnar output of "--csvFacts" using the "--csvFactCols" argument. Note that contrary to the documentation on the website, you need two dashes in front of the arguments and not one. The "Fact List" delivers a data value for each period on a separate line (as per the instance document) so it requires a great deal of manipulation in Excel to get it looking sensible. It could provide a useful feed into an intermediary database such as Access but my interest here is Excel. So despite the degree of automation afforded by the command line, to get something more immediately useful we need to head back to the "Fact Table" generated by the Arelle GUI.
Through the various windows and tabs, you can see just about every piece of information that's contained in a filing's XBRL files minus the confounded XML. For example the "Presentation" and "Calculation" tabs two along from the "Fact Table" tab basically show you what's in a filing's "_pre.xml" and "_cal.xml" files, demonstrating the relationships between the various data items.
The app is well supported with documentation available with the install and on the web site. The development team seem active, replying to a query I raised within 24 hours.
The command line tools are of particular interest as it means there is the potential to automate the extraction of data to Excel. And as an analyst what you want is an automated "one button" solution. You don't want to be wasting time messing around with the data you wish to analyse.
The command line executable enables you to set arguments to extract the XBRL (or more precisely and more usefully! - the data minus the XBRL) to a "csv" file that can be opened directly in Excel or loaded into (or referenced from) an existing spreadsheet. There are seven options but only three are of any interest. "--csvFacts" enables you to extract the "Fact List" (what's in the Fact List tab). Note this is not the Fact Table (darn!) and is essentially all the data items in the instance document. The "--csvPre" and "--csvCal" options unsurprisingly serve up the "Presentation" and "Calculation" tabs respectively.
Using the command line is best done using a batch file (.bat) which can be scheduled to run automatically by the operating system. An example batch file for use with the "csv" options is provided in the "scripts" directory of the Arelle install. The file is called "exportCsvFromXbrlInstance.bat". You can edit this to create the "csv" file you require. Don't double click on it to edit it as it will run! but open it from a text editor.
As you can see from the batch file, you can customise the columnar output of "--csvFacts" using the "--csvFactCols" argument. Note that contrary to the documentation on the website, you need two dashes in front of the arguments and not one. The "Fact List" delivers a data value for each period on a separate line (as per the instance document) so it requires a great deal of manipulation in Excel to get it looking sensible. It could provide a useful feed into an intermediary database such as Access but my interest here is Excel. So despite the degree of automation afforded by the command line, to get something more immediately useful we need to head back to the "Fact Table" generated by the Arelle GUI.
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