Skip to main content
SimilarExport ZIP
100%

Fork of HTML Starter

✓ Published0🌍 Public
Ppanyamsantosh09@gmail.com
Last edited Oct 6, 2025
Created on Oct 6, 2025
Forked from HTML Starter

This example loads a cereal dataset from a GitHub gist and displays a data summary with column details, unique counts, and sample values, plus a preview table of the first five rows. It also renders a quick SVG mini bar chart showing the number of non-empty cells per row. The page uses d3.csv to fetch and parse the data, then manipulates the DOM directly to build the summary, table, and SVG visual without additional frameworks.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Hello HTML

This example displays a CSV dataset loaded from a GitHub Gist, summarizing the total row count and previewing the first five records in an HTML table. It then renders an SVG bar chart showing the first column as categorical labels on the x-axis and the second column as quantitative values on the y-axis using `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft`. The chart title and axes are added via D3 selections. Styling uses embedded CSS, and data loading relies on `d3.csv`.

Ssowjanyateppali4202@gmail.com
87% match
Loading thumbnail…

Fork of HTML Starter

This example summarizes a CSV file fetched from a GitHub gist, displaying its file size, row and column counts, and a full table of its contents. It also renders two static SVG illustrations: a fish and a house, which are drawn using inline SVG path, circle, polygon, and rect elements. The code uses D3 v7’s `csvParse` and `fetch` API to load and parse the data, then injects the summary and table directly into the HTML via `innerHTML`. Styling is handled by external CSS.

Mmadalahyndavi123@gmail.com
86% match
Loading thumbnail…

Fork of HTML Starter

This example loads a user-supplied raw CSV file and presents a data summary alongside a preview table of the first ten rows. The D3 v7 code uses `d3.csvParse` with `d3.autoType` to parse the data, then computes column-level statistics such as minimum, maximum, mean, and unique value counts. A static SVG picture demonstrates five basic shapes—rectangle, circle, polygon, line, and text—styled via external CSS. The interface includes a text input and button for fetching new data URLs, with results rendered into the summary and table containers.

Ppriyankachary1701@gmail.com
86% match
Loading thumbnail…

Fork of HTML Starter

This example presents a dashboard for customer data, featuring a summary of key statistics, a data table, and a prominent SVG visualization. Built with D3.js (d3 v7) and rendered as SVG, the page loads a CSV dataset from a GitHub gist and displays it within a polished, gradient-styled interface. The code uses standard DOM manipulation and D3's data-binding capabilities to populate the visual elements.

AAmrit Adhikari
85% match
Loading thumbnail…

Fork of HTML Starter

This example displays a library book dataset summary and a static SVG illustration. It fetches CSV data from a user-provided URL and uses D3.js version 7 to parse and analyze the columns, categorizing them as numeric or categorical and computing statistics like min, max, and mean. The summary section lists row and column counts, while a separate SVG image shows five basic shapes (rectangle, circle, polygon, line, and text), utilizing D3's `d3.csvParse` and aggregation functions.

Ppriyankachary1701@gmail.com
85% match
Loading thumbnail…

Fork of HTML Starter

This example demonstrates a simple data-summary dashboard that loads a CSV file and displays basic metadata about its contents. It shows the total number of rows, the names of all columns, and the first data row as a JSON string. The code uses D3.js version 7, specifically `d3.csv` to fetch the dataset from a remote GitHub Gist URL, and then manipulates the DOM with `d3.select` and `append` to render the summary into styled paragraph elements. The visualization is minimal, focusing on text-based output rather than charts, and the data source is a static CSV of Champions League records.

BBALAJI MANDAVA
84% match
Loading thumbnail…

Fork of HTML Starter

This visualization demonstrates how marks and channels encode cereal data across three small multiples. It uses a scatterplot of sugars versus calories with manufacturer color, cereal type shape, and protein size, an area chart of average rating by sugar content, and bars of average sodium per shelf. The code loads cereal.csv with `d3.csv` and `d3.autoType`, then renders SVG charts using D3 v7 scales, axes, and shape generators.

Ppanyamsantosh09@gmail.com
84% match
Loading thumbnail…

Fork of HTML Starter

This example demonstrates the end-to-end process of loading a remote CSV dataset and generating a data-driven SVG visualization. The page presents key statistics, a preview table of the first five rows, and a custom SVG plot where each mark represents one CSV row, with shape and color mapped to the category column and position determined by row index and value. The implementation uses D3.js v7 to fetch and parse the data with `d3.csv` and `d3.autoType`, then dynamically builds the table and SVG elements using JavaScript DOM manipulation and the SVG API.

Ssakethpapareddy@gmail.com
84% match