Examples

Curated demo workflows running on blockr.cloud. Open any example to explore it interactively.

Getting Started

Empty Workflow

Start from a clean canvas. Add blocks, connect them, and build your own pipeline from scratch.

Open in Playground →

Pharma

Clinical Explorer

AI-enabled exploration of an ADaM trial: demographics, adverse events, lab values, vitals, and patient profile.

Open in Playground →

Admiral SDTM → ADSL

SDTM DM to ADSL derivation pipeline using admiral blocks (blockr.admiral).

Open in Playground →

Insurance

Life UWR Workbench

Life-insurance underwriting workbench spanning Inputs, Claims, Underwrite, Analysis, and Actuarial views over an employees census, claims history, and bundled actuarial tables.

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Actuarial Workbench

Property-insurance actuarial workbench with portfolio inputs, country / base-rate / experience pricing grids, premium components and run-vs-run comparison over the bundled property portfolio.

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Reinsurance Dashboard

Reinsurance portfolio analytics with scenario / peril / region crossfilter, premium and exposure KPIs, and cedant / peril drill-downs over a synthetic exposure and event-loss cube.

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Finance

Portfolio Advisor

Portfolio optimization with investor profiling and dashboard (blockr.portfolio).

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Share Explorer

Interactive stock ticker explorer with candlestick charts (blockr.portfolio).

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Statistics

Tidymodels ML

Machine learning workflows powered by tidymodels: preprocessing, model fitting, and evaluation.

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Stats 101 (Penguins)

Teaching-grade statistical workflow on palmerpenguins: descriptives, correlation, lm, t-test, normality.

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Run an example locally

The demos above run on blockr.cloud. To run one in your own R session, follow the setup below.

Clinical Explorer

First install blockr as described on the Install page. Then add the extra packages:

pak::pak("cynkra/blockr.bi")                # drilldown chart/table, KPIs, summary tables
pak::pak("BristolMyersSquibb/blockr.dm")    # multi-table / ADaM data-model handling
pak::pak("BristolMyersSquibb/blockr.session") # save, restore, share board state
pak::pak("BristolMyersSquibb/blockr.pharma")  # patient profile, swim-lane plot

Launch the demo:

source(system.file("examples/clinical-explorer.R", package = "blockr.pharma"))

This loads the ADaM tables from pharmaverseadam and the same blocks as the live demo: cross-filter, drilldown chart and table, patient profile, swim-lane plot. Open inst/examples/clinical-explorer.R on GitHub to see exactly what the script does.