empty_result_df

internal

Provides tools for extracting and processing structured annotations from 'R'
and 'Python' source files to facilitate workflow visualization. The package scans
source files for special 'PUT' annotations that define nodes, connections, and
metadata within a data processing workflow. These annotations can then be used
to generate visual representations of data flows and processing steps across
polyglot software environments. Builds on concepts from literate programming
Knuth (1984) <doi:10.1093/comjnl/27.2.97> and utilizes directed acyclic graph (DAG)
theory for workflow representation Foraita, Spallek, and Zeeb (2014)
<doi:10.1007/978-0-387-09834-0_65>. Diagram generation powered by 'Mermaid'
Sveidqvist (2014) <https://mermaid.js.org/>.

Philipp Thoss

putior

"Register In- and Outputs for Workflow Visualization"

empty_result_df function

<dl><dt>include_line_numbers</dt>
<dd>Whether to include line_number column</dd></dl>

Arguments

Create empty result data frame — empty_result_df

<dl>

<dt>include_line_numbers</dt>
<dd>Whether to include line_number column</dd>

</dl>

empty_result_df: Create empty result data frame

Description

Usage

Value

Arguments