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.

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Pharma

Clinical Explorer

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

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Admiral SDTM → ADSL

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

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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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Treaty Pricer

Layered excess-of-loss treaty pricer: an editable treaty tower drives a piecewise-Pareto severity fit, loss simulation, and a per-layer premium build-up. Edit a layer and the KPIs, quote chart, and build-up waterfall all recompute.

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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("BristolMyersSquibb/blockr.viz")                # 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.

Treaty Pricer

A simulation-based pricer for a layered excess-of-loss reinsurance treaty. One editable treaty tower drives a piecewise-Pareto severity fit, loss simulation, layer structuring, and a premium build-up. Edit a layer and the KPIs, the per-layer quote chart, and the build-up waterfall all recompute.

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

pak::pak("BristolMyersSquibb/blockr.viz")     # tiles, KPIs, charts, tables, drilldown
pak::pak("BristolMyersSquibb/blockr.dm")      # relational / multi-table data model
pak::pak("BristolMyersSquibb/blockr.session") # save, restore, share board state
pak::pak("BristolMyersSquibb/blockr.code")    # show / export the generated R code
pak::pak("cynkra/blockr.input")               # editable data grids (the treaty tower)
pak::pak("cynkra/blockr.extra")               # function blocks (Pareto fit, per-claim layering)
pak::pak("cynkra/blockr.insurance")           # the treaty tower data + this example
install.packages("Pareto")                    # piecewise-Pareto severity fit + loss simulation

Launch the demo:

source(system.file("examples/treaty-pricer.R", package = "blockr.insurance"))

This loads the treaty tower bundled in blockr.insurance and the same blocks as the live demo: the editable tower, Pareto fit and loss simulation, the per-layer quote chart and premium build-up waterfall, the layer-detail drilldown, and a challenger-vs-base comparison. Open inst/examples/treaty-pricer.R on GitHub to see exactly what the script does.