Displayr is a complete data science platform, which does everything from simple tables through to advanced machine learning. It’s also a comprehensive reporting platform that creates online dashboards and exports to PowerPoint and Excel. As a cloud-based app, you can access it, and your work in it, from anywhere and in any browser.
Displayr can support many different workflows between these procedural stages. This also allows for much greater fluidity and freedom within the workflow. That said, the first step is always the same – after all, without data you wouldn’t have anything to analyze. Then you and your colleagues would conduct your data exploration and add in more advanced analytical methods. In many cases the next step would involve switching software to finalize your report.
Now imagine that you realized, just as you were finalizing your presentation, that something wasn’t quite right in your data. You’d have to fix the issue, repeat your basic and advanced analysis (or get your colleague who conducted the analysis to do it for you), and finally re-create your report accordingly. In Displayr, once the data issue has been resolved, all the analyses using that data would update automatically. From this follows that you can set up your report using only partial data, and when importing a final data file the whole report would update.
There are many additional benefits to performing data science in Displayr worth mentioning: check out the section titled The secret sauces in Introducing Displayr: the data science and reporting app for everyone. The rest of this post, and its five companions in the Introduction to Displayr series, give you more details on the mechanics of using Displayr, showing you how to get started.
- Support R Language
- Statistical testing based on data type
- Sample to create and manipulate variables