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What is blockr?

blockr is a visual framework for building data workflows. Instead of writing code, you work with blocks - each block performs a specific task like loading data, filtering rows, or creating a chart. Connect blocks together to build complete data pipelines.

knitr::include_graphics("../man/figures/workflow-example.png")

Who is it for?

blockr is designed for anyone who works with data:

• Analysts who want to explore data without writing code
• Researchers who need reproducible workflows
• Teams who want to share and collaborate on data pipelines

How it works

1. Add blocks to your workspace - choose from data import, transformation, visualization, and export blocks
2. Connect blocks together to create a pipeline - data flows from one block to the next
3. Configure blocks using dropdowns, checkboxes, and input fields - no coding required
4. See results in real-time as you build - each block shows a preview of its output

Available blocks

blockr comes with blocks for common data tasks:

Import and Export

• Import Data - Load CSV, Excel, SPSS, SAS, Stata, Parquet files from your computer, a server, or URLs
• Export Data - Save results to CSV, Excel, or Parquet files

Data Transformation

• Filter Rows - Keep rows matching specific values
• Select Columns - Choose which columns to keep
• Calculate Columns - Create new columns using formulas
• Aggregate Data - Calculate totals, averages, counts
• Sort Rows - Order data by column values
• Lookup & Merge - Combine tables by matching columns
• And more: Rename, Pivot, Stack, Split…

Visualization

• ggplot - Create scatter plots, bar charts, line graphs, histograms, and more
• Theme - Customize colors and styling
• Facet - Split plots into panels
• Grid - Combine multiple plots

Next steps

• Install blockr locally: vignette("install", package = "blockr"), if you want to run it on your own machine
• Working with blockr: vignette("blockr", package = "blockr") - a guided walkthrough of building a workflow

Core packages

blockr is built on six specialized packages:

Foundational:

• blockr.core - Framework and architecture
• blockr.dag - Workflow management
• blockr.dock - User interface components

Block packages:

• blockr.dplyr - Data transformation blocks
• blockr.ggplot - Visualization blocks
• blockr.io - File import and export blocks

Extending blockr

Additional block packages can be installed for specific domains. For example, blockr.ts adds blocks for time series analysis.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.