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anindyoptr

@anindyoptr·3 public vizzes

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This example displays a static report of car models, pricing, and manufacturing years in a raw, unstyled HTML page. The application loads a hardcoded JSON array of five car records via `JSON.parse` and renders the text "Hello World" inside a `<pre>` element using the `document.getElementById` method. Built with React, the visualization relies on a standard JavaScript script tag to bundle and execute the code, though it does not perform any data transformation or graphical charting. The page structure includes a root `<div>` for potential React content, but the visible output is limited to the message.

Jun 10, 2020
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Untitled

This example presents a static car report as a raw JSON dataset, displaying the text “Hello World” in a large HTML `<pre>` element. The React-based application parses five car records—including year, product, model, and price—into a JavaScript object via `JSON.parse`, though it does not render the data in a chart. The visualization relies on standard DOM manipulation through `document.getElementById` to update the message, while React manages the empty root div. No charting library is used; the example primarily demonstrates data ingestion and text output within a React starter framework.

Jun 10, 2020
Loading thumbnail…

Untitled

This example displays a static report of car models, pricing, and manufacturing years in a raw, unstyled HTML page. The application loads a hardcoded JSON array of five car records via `JSON.parse` and renders the text "Hello World" inside a `<pre>` element using the `document.getElementById` method. Built with React, the visualization relies on a standard JavaScript script tag to bundle and execute the code, though it does not perform any data transformation or graphical charting. The page structure includes a root `<div>` for potential React content, but the visible output is limited to the message.

Jun 10, 2020