delivDF

A dataset containing the line items, mostly parts, asssociated
with 23,339 shipments from a US-based warehouse.

datasets

Accelerate Bayesian analytics workflows in 'R' through interactive modelling,
visualization, and inference. Define probabilistic graphical models using directed
acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians,
and programmers. This package relies on interfacing with the 'numpyro' python package.

Adam Fleischhacker

causact

Fast, Easy, and Visual Bayesian Inference

Daniela Dapena

Rose Nguyen

Jared Sharpe

delivDF function

A data frame (tibble) with 117,790 rows and 5 variables:<dl>
<dt>shipID</dt>
<dd>unique ID for each shipment</dd><dt>plannedShipDate</dt>
<dd>shipment date promised to customer</dd><dt>actualShipDate</dt>
<dd>date the shipment was actually shipped</dd><dt>partID</dt>
<dd>unique part identifier</dd><dt>quantity</dt>
<dd>quantity of partID in shipment</dd>
</dl>

Format

117,790 line items associated with 23,339 shipments. — delivDF

A data frame (tibble) with 117,790 rows and 5 variables:<dl>
<dt>shipID</dt>
<dd>unique ID for each shipment</dd>

<dt>plannedShipDate</dt>
<dd>shipment date promised to customer</dd>

<dt>actualShipDate</dt>
<dd>date the shipment was actually shipped</dd>

<dt>partID</dt>
<dd>unique part identifier</dd>

<dt>quantity</dt>
<dd>quantity of partID in shipment</dd>


</dl>

delivDF: 117,790 line items associated with 23,339 shipments.

Description

Usage

Arguments

Format