Bbedit format json install#
Bbedit format json download#

As the data stand, the datestamps are not suitable for conversion to times here, although it may be possible to massage them using RвЂ™s facilities. Oddly, the Data Preview feature does not work properly in the current version of Excel, but seems better in Excel 2011 (14.7.1). Once your CSV file is properly edited, you can then open it using Numbers, or import it as CSV into Microsoft Excel.Д®xcelвЂ™s import вЂWizardвЂ™ offers good defaults most of the way, but you should not let it use Tabs as delimiters, only Commas. You may well be able to use a script to automate this, depending on your text editor. Then work through the second row, splitting it into the rows of data, one line for each log entry. Here, truncate the first line to delete all the superfluous column headers, leaving just the first complete set. Open this using Microsoft Excel (not Numbers, which cannot cope with its extreme width), and you will see that the data occupies only two rows, the first containing the column headers repeated for each log entry, and the second the data that you want.Д®xport this from Excel in CSV format, then open the CSV file using a text editor such as BBEdit. Where the item in double quotation marks вЂњвЂќ is the name of your export file. Then, to export that data in XLSX format, type in the command It may be possible to massage this (or to tweak the import command) to save some of the messier steps later, but I have not discovered any way to do that yet. This imports the data and converts it into an R list as the variable data1. Where the item in double quotation marks вЂњвЂќ is the name of your JSON file from Consolation. This saves you from the tedium of typing longer path names.ДЄt RвЂ™s command line, enter the following commandДata1 <- read_json('logruns.json', flatten = TRUE) In the Misc menu, change the working directory to that containing your JSON data file. Text which is rendered in blue will link you to help information, PDFs, and more which detail the package and its use. You may notice that when a package is selected here, the lower panel of the Package Manager displays helpful information about that package. From the same Packages & Data menu, open the Package Manager, click the Refresh List button, locate the jsonlite and xlsx items, and check the box by each to load those packages. These make the packages available the next step is required to load them. You will also see some of the other import/export packages available, such as for XML, which you may wish to examine if exporting to those formats might be useful to you. To obtain the xlsx package, repeat that process with that line selected in the list of available packages.

Bbedit format json install#

From within that list, locate jsonlite, check the Install Dependencies box, and then click on the Install Selected button. Ensure that it is set to CRAN (binaries), and click on the Get List button to obtain the list of all available packages. Locate its app front end, R.app, in the Applications folder, and open that.ДЇrom within R.app, open the Package Installer from the Packages & Data menu.

Bbedit format json download#

If you havenвЂ™t already got the current version of R, download it from CRAN (which may offer you a more local mirror), and install it. You must delete that whole line using a text editor, as it is not valid JSON and will cause errors when you try to process the JSON data. There is one small piece of preparatory work to perform: currently (and this will change in the next beta release of Consolation 2), the last line in the JSON output contains the datestamp and the effective log show command. It almost works, but there is a messy kludge in the middle, for the moment. The plan was to import the JSON data saved from Consolation, then export it in XLSX. Using other packages, it seems able to read and write data in almost any other documented format too, making it an ideal platform when you need to perform such conversions. Among them are functions to import (and export) data in JSON format, and Microsoft ExcelвЂ™s XLSX format. R is a uniquely powerful and extensive data processing and statistics app and language, which is completely free, and supported by a huge range of extension packages.

ItвЂ™s a bit of a fiddle, and its fairly ugly, but I have now found a route by which you can convert JSON data extracted from SierraвЂ™s logs into spreadsheet formats.