We’ve developed an R script to process Pageonex JSON raw area export files and regenerate charts and calculations joining different datasets. Check for more information in the repository.
After a while we are glad to announce brand new features in PageOneX.
Export a thread in raw format
Until now you could export the percentage of coverage per day and paper in json and spreadsheet, now there is an extra feature that allows you to export the raw data: the extact location of every area and all its classifications (read following feature). We are starting a new project pageonexR that allows you to import your threads to R and analyse their data.
Classify by multiple taxonomies
This new feature would add the capability to add extra information to drawn areas. A highlighted area could have multiple taxonomies and open fields.
Until this new release you could only classify each area with one taxonomy. For example, an area could be categorized as “International coveragae” but not as “International coverage” AND “Nigeria” AND “positive framing”. Now you can do it . This feature is only available for certain users. If you want to use it write a comment to this post. We are studying how to make this available for all the users.
Fork a thread
You like another’s user thread: you can clone and edit it.
Edit and remove areas
Before you had to erase all the areas in a front page to remove one. Now you can remove them separately and re-classify them.
Containeraized versions, make your own deployment
Pageonex is an open-source project. Thanks to Rafa Porres (@walter_burns) we have PageOneX ready to use in a docker container. In fact, the new containerized version is what we are using now in the production version at pageonex.com. If you don’t want to use the hosted version of pageonex at http://pageonex.com you have a few options to run it yourself. Read our documentation and choose the best option for you. We hope this helps other developers help extending the features of PageOneX.
- You can run pageonex locally using docker-compose and our generated images. This is the easiest way.
- You can run pageonex locally using docker-compose and building locally the docker images. This is recommended if you want to do some development.
- You can install pageonex locally compiling in your system all the needed files. This option is more advanced and it is only recommended if you’re doing heavy development.
- You can use our Docker images to deploy pageonex against your mysql database. This is an advanced setup that it is useful if you’re planning to maintain your own pageonex production environment.