We just added a sample dataset, so that anyone can try out our new Datasets feature without writing a single line of code. Check out the powerful widget-building interface by exploring data from our fictitious intergalactic delivery company 🚀
The Number visualisation in Datasets now supports showing a secondary visualisation.
You can show a fixed comparison to the previous value in the series, which is great for focussing on period-over-period improvement. Alternatively, a sparkline allows you to visualise how a metric is trending over time.
We’ve updated our image widgets so they now fill the entire width of the widget. We’ve also made the widget’s background transparent so if you’re using a .png, .gif or .svg the dashboards colour will show through, making it easier to brand your dashboard!
We’ve updated our Google Sheets integration to support dates generated by formula, allowing you to use functions like today() or today()-1 in your spreadsheets.
The Datasets Geck-o-meter now supports the same options as the Number visualisation - so you can apply functions such as Sum, Average, Min, and Max, as well as change the field used for ordering.
We’ve given the Datasets API developer site a massive overhaul!
The new site is split into three sections:
We hope this will make it much easier to get started using the new API, and would love to hear what you think. Check it out at https://developer-beta.geckoboard.com.
We’ve added some extra size options to our image widget to give you more flexibility over how you layout your dashboard. 
Our new Split feature allows you to break down a single metric into multiple series.
This gives you more versatility when working with datasets that have more advanced schemas - such as those where you have entries for multiple categories each day.
We’ve moved and renamed the Advanced Settings controls found in our Salesforce and Spreadsheet integrations. Precision, Abbreviation and Unit Controls can now be found in the new Fine-tune tab. This helps us keep the UI simple, and easy to use, as we give you more control over how your visualisations are rendered.
You can now apply aggregate functions to the Leaderboards, Column, and Bar charts you’ve built with Datasets. This makes it much easier to create charts showing things like ‘Total Sales by Country’, or ‘Average Response Time by Rep’.
