In my case, the only datasets I could find were from the SQLite and FME community. I loaded them into my Data Catalog, which then acts like a data source for any software that can run in the Data Catalog. New to this article was a simple data source that loaded an Excel spreadsheet as a data source. I wrote a Ruby script that would preprocess each file in the spreadsheet and then store it in the Data Catalog for quick access.
I also added several new features to my Android app. I added an overview screen, allowing you to search for data by category, dates, or other attributes. I also added a data source screen, allowing you to search for data by data source, folder, or file type. A new feature in the Android app is to store data on the device for offline use. I added a database on the device that stores the data on the device and caches the data so that you can run analytics on the device while disconnected from the Internet.
I also added a data importer into the app. You can import data from CSV files and Excel spreadsheet. I chose to import CSV files, but you can import any file format that Excel can read. The CSV files are then preprocessed and imported into the Data Catalog.
A last feature was added to the Android app that allows you to sync data with Google Drive. This allows you to access your data at Google Drive while offline. This is particularly useful for uploading your data.
I added an upgrade guide in the app to help you navigate the changes.
Next up will be a deeper look at the FME integration and the Android app.
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