R for Data Science
r4ds.hadley.nzA practical R workflow for transforming and visualizing data
A practical R workflow for transforming and visualizing data
Literary reading, interviews and curated book lists
Work with files and command output as structured records and tables in a cross-platform shell.
Book-group recommendations and private club pages
Commerce communication scenarios with explicit re-entry and purchase exits
Coordinate warehouse picking, packing and carrier shipments from order data
Apply shipping rules, create labels and send tracking back to your store.
Connect payment collection with hospitality and retail operations
Connect sales channels and acquirers through a modular payment gateway
Spot crypto trading with order controls and several API interfaces
Automate Shopify and Etsy tasks with connected apps and approvals
Store-order shipping with printer integration and configurable shipping rules
Victorian collection images with free TIFFs and a copy-order service
Add checkout payment options and manage captured orders
Combine store orders and automate shipping decisions before printing labels
Crypto purchase and spot-order routes with regional account limits
Inspect order flow, volume profiles and Elliott Wave studies
Spot markets with account reporting and separate API permissions
Build native programs with Rust and manage their packages and builds through Cargo.
Loyalty and incentives with purchase points held until orders are confirmed
Multichannel stock, order and shipping management with warehouse access controls
Connect marketplace orders with warehouse routing and managed commerce services
Store software with hosted partner packages and exportable orders