Skip to main content
SimilarExport ZIP
100%

NEURALWORK

✓ Published0🌍 Public
CChenluWang96
Last edited Mar 11, 2020
Created on Mar 10, 2020
Forked from HTML Starter

NEURALWORK is a fixed-header web page with a left-sidebar that presents checkboxes for filtering neural network experiments by dataset type, task, model, and hardware setting. The page is built with HTML and CSS, with an incomplete D3.js (v4) script that attempts to load a remote CSV dataset from VizHub, though no visualization is currently rendered. The interface suggests a future scatter plot or chart of model performance data, but the core interactive exploration is not yet implemented.

AI-generated description

HTML for the neural networking data visualization demo Harvard HCILAB

MIT Licensed

Similar vizzes

Loading thumbnail…

NEURALWORK

NEURALWORK is a fixed dashboard for exploring a neural-network model dataset, with a sidebar of category checkboxes for filtering records by dataset type, task, model, and experiment setting. The page layout is built with custom CSS for a fixed header and sidebar, while the data is loaded from an external CSV using the D3 v4 `csv` method. The code references D3 selection and data-loading APIs, but the visualization itself is not implemented in the provided files.

CChenluWang96
92% match
Loading thumbnail…

networks

This interactive network visualization uses a force-directed layout to display relationships between functional categories, with nodes representing biological functions and links indicating correlations. Users can switch between six pre-loaded datasets and drag nodes after the simulation stabilizes. Built with D3 v3 (d3.layout.force) and rendered as SVG with zoom and pan support, it encodes node size via radius scale and link strength through stroke width, with optional color coding by category or monochrome themes.

11Cr18Ni9
62% match
Loading thumbnail…

My DataVisualization Practice D3

This example demonstrates a minimal web page that displays the text “Loading and Parcing CSV Data” in large, centered type. The page is built with a standard HTML5 document structure and uses inline CSS for styling, while an empty script tag suggests the intended use of JavaScript for data handling. The work relies on the D3.js library, though no specific functions or API calls are present in the provided code. The page serves as a static placeholder, indicating a future step of parsing CSV data for visualization.

DDeepa-hibot
61% match
Loading thumbnail…

Neeharika Reusable que1

This responsive scatter plot visualizes bird morphometric data from ICE7.csv, plotting wingspan against beak length for 30 observations across three species (Sparrow, Robin, and Finch). Built with D3.js v7 and rendered as SVG, the chart uses a reusable function pattern where the data container ID and attribute names are passed as arguments, making it flexible for different datasets. Points are drawn as steelblue circles, with linear scales mapping the quantitative attributes to pixel coordinates. The plot includes axes generated with D3's axis components, and the visualization is fully responsive due to the viewport meta tag. While the current implementation colors all points uniformly, the dataset includes a species column, suggesting potential for color encoding by species in future iterations. The code demonstrates a clean separation of concerns with a reusable chart function and data loading via d3.csv.

Nneeharika2023@gmail.com
60% match
Loading thumbnail…

My Webpage

This personal webpage presents a survey of scientific data visualization through custom HTML, CSS, and JavaScript, featuring an embedded SVG illustration and a data table. The page displays a CSV dataset rendered as an HTML table, with JavaScript calculating and displaying column sums, averages, and overall summary statistics. The interface includes a header, navigation menu, and footer, styled through an external stylesheet. The SVG logo and data summary demonstrate basic web technologies for presenting structured information, using native JavaScript functions for parsing and computation rather than external libraries.

Ssaikrishnabussa
60% match
Loading thumbnail…

Simple Webpage

This webpage presents a minimal interactive dashboard that loads the penguins dataset from a CSV file and visualizes it using D3.js. The page displays a simple title and paragraph alongside a data-driven chart, with styling applied through an external CSS file. The JavaScript file (main.js) handles data parsing and rendering, likely using D3’s CSV loading and SVG-based plotting. The example demonstrates a basic HTML/CSS/JavaScript setup where D3 binds the external data to visual elements, showcasing a clean, straightforward approach to embedding a chart in a standard web document.

LLuluh8080
60% match
Loading thumbnail…

My Webpage

This example demonstrates the loading and display of a CSV dataset from a GitHub Gist, showing file size, row count, and column count in a preformatted text container. The page combines basic HTML and CSS styling with D3.js v5, using the `d3.csv` API to fetch and parse the remote data asynchronously. The visualization also includes a simple inline SVG graphic with geometric shapes, and the code highlights VizHub's modular architecture through local ES6 module imports in separate JavaScript files.

Aakshayvenishetty1437
59% match
Loading thumbnail…

Untitled

This interactive table displays data records with fields like filename, label, and perplexity scores, controlled by two sliders that filter the dataset by user-defined ranges. Built with React and rendered as SVG with animation, the visualization uses D3.js for slider creation and data binding, Crossfilter for multidimensional filtering, and the dc.js library for data table and count management.

Vvaynexie
59% match