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In this ever-evolving AI landscape, researchers and data scientists are often forced to choose between rapid automation and full control over their analysis. Tools might promise speed, but they tend to limit customization and flexibility to get there. Displayr has always sought ways to limit this trade-off.
Well before generative AI became dominant, Displayr supported both pre-built automations and the ability to add and run custom R code. This meant users could analyze and report on survey data quickly, accurately, and in ways tailored to their specific needs.
The new Research Agent builds on this, leveraging large language models (LLMs) to automate tasks like crosstabulation, chart creation, dashboard building, and strategic commentary. Unlike other AI applications, the Research Agent keeps users in control: every output can be edited and refined, and users can still incorporate custom R code to extend the functionality.
Here’s How It Works
The research agent works much like a diligent junior analyst, only much faster. You give it a sample description, background, research questions, and the relevant dataset. From there, it:
- Generates an analysis plan—table by table, with statistical testing built in.
- Reads each table, detecting patterns and trends.
- Groups findings into themes.
- Evaluates research questions against those themes.
- Draws conclusions, and—if requested—provides recommendations.
- Produces a first-draft report with charts and tables, ready for refinement.
The result? A coherent, data-driven report that appears in minutes rather than days.
AI + R = The Best of Both Worlds
The report produced by the Research Agent isn’t necessarily the end of the workflow. The entire document is editable, reviewable, checkable, and correctable – so you can easily modify the tables behind the visualizations by weighting the data, applying filters, etc.
You can also use R in Displayr to create custom functions and tailor your analysis in the report. This is because Displayr has dedicated servers with R already installed, meaning you don’t have to download it to your desktop.
This means you can use R within Displayr for:
- Simple tables
- R variables
- Custom R outputs
- Advanced tables
- Just about any form of data analysis
Combining the Research Agent with custom R code means:
- Every automated output generated by the Research Agent can be inspected, edited, and extended with your own R code. You can always trace, understand, and fine-tune your analysis logic.
- Complex tasks—like splitting datasets for targeted reporting, or building non-standard summaries—are feasible thanks to full R integration.
Learn more about using R in Displayr here.
Supercharging AI + R with the AI R Code Writer
To make combining the Research Agent with custom R code even faster, Displayr now includes the AI R Code Writer. Simply type a prompt starting with #! in the Code Editor, describe what you want, and the AI will generate ready‑to‑run, fully commented R code—complete with explanations.
Because it works directly with the items in your document, the AI R Code Writer produces context‑aware code for everything from advanced tables and custom charts to data wrangling and formatting. This means you can skip the tedious syntax writing and jump straight to refining your analysis.
Paired with the Research Agent, it creates an incredibly efficient workflow: AI drafts your analysis, and AI‑assisted R scripting lets you extend, customise, and perfect it in record time.
Ready to see how you can transform your data analysis workflow with Displayr?
Try Displayr’s research agent today and see how quickly you can go from data to decisions.
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