test
This example demonstrates a static SVG visualization using D3.js, where a single rectangle is drawn and positioned within the viewport. The code begins by selecting the SVG element and appending a rectangle with fixed dimensions and a brown fill color at a specific coordinate. It then initializes a D3 nesting operation on the kernel data (loaded from a CSV), grouping entries by the "package" key, but the resulting nested structure is only logged to the console and not rendered. The dataset, provided as a CSV of package components with sizes, appears intended for a hierarchical or treemap layout, but the visualization currently only displays the one static rectangle, leaving the nested data structure unused in the visual output. The example showcases the initial setup of a D3.js visualization using Tributary, with the potential for hierarchical data exploration, though it remains in an early, non-interactive stage.# test
## Description
This visualization demonstrates a preliminary exploration of hierarchical data structures using D3.js within the Tributary environment. The example loads a CSV dataset containing file components organized by software packages (SAP kernel files) and uses d3.nest() to group the data by package name.
## Visual Design
The visualization is minimal, currently displaying only a single brown rectangle positioned at coordinates (200, 62) with dimensions 100x100 pixels. The SVG canvas contains this solitary visual element, with no axes, labels, or interactive components yet implemented.
## Data and Code
The example includes a CSV dataset of file components with their sizes across various packages (ccmagent, vscan_rfc, sapmc, tp, sapnwrfc, sapftp, and dw). The JavaScript code demonstrates how to use d3.nest() to hierarchically structure the data by package, with commented-out code showing an attempted two-level nesting by component. However, the code contains syntax errors (an unclosed comment and a malformed `co` statement) that prevent it from running successfully. The visualization currently draws only a static brown rectangle, with the data processing logic incomplete in the provided code.
The example is available in the Tributary gallery under the "test" title, with multiple fork iterations by enjalot (4653053, 4652017, 4582399) building upon the original by CBasis. The visualizations were created using Tributary and use the d3.js library for SVG rendering. The example includes a kernel.csv file with package and component data for what appears to be a collection of SAP software packages.# test
## Overview
This visualization demonstrates a d3.js hierarchical data structure using a dataset of SAP software package components. The example shows how to load CSV data and organize it hierarchically using d3.nest().
## Key Features
- **Data**: CSV file containing package/component/size relationships from SAP software archives (e.g., ccmagent_40-10012494.sar, vscan_rfc_44-10012494.sar)
- **Primary Visualization**: A simple SVG rectangle (100x100 at coordinates 200, 62) with a warm brown fill (#a4813b)
- **Data Processing**: Uses d3.nest() to group the flat CSV data by package name, creating a hierarchical structure in the browser console
## Technical Implementation
The example demonstrates how to:
- Load and parse hierarchical CSV data using d3.csv()
- Use d3.nest() to group entries by package name
- Log the resulting nested structure to the console for debugging
- Set up a basic SVG drawing area
The visualization is minimal and appears to be a test/example for exploring how to structure hierarchical data from a flat CSV file containing file system paths and sizes from SAP software archives. The main visual element is a simple golden rectangle, while the actual data manipulation is happening in the JavaScript console, suggesting this is more of a data-structuring tutorial than a full visualization.
Notable context: This was created by CBasis and enjalot as part of the Tributary.io gallery. The thumbnail shows the simple rectangle that appears on screen. The example demonstrates basic d3.nest() data structuring techniques with a CSV dataset.# test
## Visualization Gallery Entry
**Source:** Gist via Tributary.io | **Author:** CBasis
This example demonstrates hierarchical data structuring with D3.js, using a rectangular visualization to explore file-package relationships. The visualization displays a simple gold rectangle (100x100 at coordinates x=200, y=62) while the accompanying JavaScript uses D3's nest operator to group CSV data by package name.
The dataset contains SAP software component inventory, listing packages such as ccmagent, dw_45, sapmc_24, and others with their associated files and sizes. The code initializes a D3 nested structure to organize the hierarchical data, though the visualization itself is minimal—just a single positioned rectangle rendered in the SVG canvas. The example serves as a basic demonstration of setting up a D3 visualization with data processing capabilities, showing the connection between data preparation (nesting) and visual output, even though the visual result is currently understated compared to the data-processing logic.# test
## Description
This example demonstrates a simple D3.js visualization that sets up a rectangular shape on an SVG canvas. The visualization includes a single brown rectangle positioned at coordinates (200, 62) with dimensions 100x100 pixels.
The code initializes a D3 selection on an SVG element and appends a rectangle with a warm brown fill color (#a4813b). Below this visual element, the example includes data processing code that uses d3.nest() to group CSV data by a "package" field. The dataset contains information about software components (SAP kernel files) including package names, component names, and file sizes. While the nesting logic for hierarchical data organization is prepared and logged to the console, the visualization itself currently renders only the static rectangle, with the data processing commented out or incomplete. This serves as a basic test of the Tributary environment with SVG rendering and d3.js data manipulation.# Test
## Overview
This Tributary.io visualization demonstrates a simple SVG rendering setup with D3.js, featuring a single brown rectangle positioned on a canvas. The example includes JavaScript code that begins to explore hierarchical data nesting using D3's nest() function.
## Key Features
- **Basic SVG Rendering**: A single 100x100 pixel rectangle is drawn at coordinates (200, 62) with a brown fill (#a4813b)
- **Data Structure Preparation**: Includes commented-out code for nesting CSV data by package name, demonstrating how to structure hierarchical data
- **Sample Data**: Contains a dataset of SAP software archive (SAR) file components with their sizes in bytes
## Technical Details
The visualization uses D3.js to select the SVG element and append a rectangle. The code also sets up data processing for hierarchical visualization using d3.nest() to group the kernel data by package, though this functionality is currently commented out. The included CSV data represents file listings from various SAP software packages with their sizes.
This example appears to be a test or template for organizing hierarchical data from a flat CSV structure into a nested format suitable for a treemap or similar hierarchical visualization. The code comments show experimentation with d3.nest() for data restructuring.# Visualization Gallery: Test
**Title:** test
**Author:** CBasis
**Source:** gist (via Tributary.io)
**Description:**
This is a simple data-visualization example that demonstrates the initial stages of a hierarchical visualization. The code begins by drawing a single brown square on an SVG canvas using D3. It then loads a CSV dataset containing information about SAP software packages and their components, including file sizes. The visualization sets up a d3.nest() operation to group the data by package, laying the groundwork for a hierarchical visualization such as a treemap or partition layout.
The dataset represents file structures from various SAP packages, listing components and their sizes. The visualization is at an early stage, with the fundamental rectangle drawn and data nesting prepared but not yet visualized. The thumbnail suggests the final result displays a treemap of package contents, though the code shown focuses on the data preparation and initial rendering steps. The visualization appears designed to explore the hierarchical structure of these software packages and their file sizes.# Test
This example demonstrates hierarchical data visualization using D3.js, displaying the file structure of SAP software packages loaded from a CSV dataset.
## Visualization Description
The visualization processes package component data organized in a nested hierarchy. A single golden rectangle is drawn as a placeholder at position (200, 62) with dimensions 100x100 pixels, filled with the color #a4813b.
The core functionality lies in the data preparation step: the visualization uses D3's nesting operators to transform the flat CSV data into a hierarchical structure. The data consists of SAP software packages (such as ccmagent, vscan_rfc, sapmc, and others) with their associated component files and sizes in bytes. Each entry includes a package name, component name, and file size.
The code demonstrates d3.nest() to group the data by package name, creating a hierarchical structure that could be used for a treemap or similar hierarchical visualization. The nested data structure is logged to the console but not yet rendered visually, suggesting this is a work-in-progress example exploring data hierarchy organization. The visualization displays a simple gold rectangle as a placeholder, with the main focus being on data preparation and hierarchical structuring. This example serves as a foundation for building more complex hierarchical visualizations using the nested data format.
The visualization is minimal - currently only rendering a basic SVG rectangle while the primary logic focuses on data structuring and console output of the nested hierarchy. It's likely an educational example or early-stage prototype for hierarchical data visualization.# Test
This example demonstrates a data transformation workflow using D3's nesting functionality. The visualization reads a CSV file containing SAP software component inventory data and structures it hierarchically by package name. The code creates a nested data format using `d3.nest()`, organizing the file entries by their package attribute. The actual SVG visualization is minimal at this stage, showing only a decorative rectangle, suggesting this is a test or early-stage prototype for hierarchical data exploration rather than a finished visualization. The nested data structure is logged to the console for inspection, laying the groundwork for future hierarchical visualizations.
The dataset contains file system metadata from various software packages, including file names and sizes. The example demonstrates how to prepare hierarchical data for potential treemap or partition layout visualizations, though the current implementation focuses on data structuring rather than the final visual output.