requirebin sketch

requirebin sketch

This example demonstrates a data package loader built with the barracks and chi-datapackage libraries in a Vue application. It loads and normalizes a datapackage from a GitHub URL, fetches its resources, and updates the application state asynchronously using a unidirectional data flow with reducers and effects. The visualization showcases state management for datapackage resources, with actions logging load progress and state changes to the console.

91% match

requirebin sketch

This example demonstrates how to load and manage a data package using the `chi-datapackage` library within a Vue application. It shows the flow of loading a remote dataset, dispatching actions, and updating application state through the `barracks` framework's model, effects, and reducers. The visualization is driven by `index.js`, which uses `dp.load` to fetch a JSON data package from GitHub, then triggers a `replacePackage` reducer to update the state. The code also logs state changes and actions via lifecycle hooks, illustrating a functional reactive pattern for handling data-driven charts.

90% match

requirebin sketch

This example demonstrates a minimal client-side application that loads a data package from a remote URL using the `chi-datapackage` library, then manages the resulting state through the `barracks` event-based architecture. The code shows a unidirectional data flow where a `loadPackage` effect triggers a `replacePackage` reducer to update the application state. It also logs actions and state changes for debugging. The visualization itself is not rendered in the provided files; instead, the focus is on the data-loading and state-management pipeline, with the package.json specifying the required dependencies for this workflow.

86% match

requirebin sketch

This example demonstrates reactive state management in a React application by loading and observing a data package from a GitHub-hosted JSON file. It uses MobX to create an observable `package` property on a store, with an `observe` listener that logs changes to the console whenever the package is updated. The code loads dataset metadata via the `chi-datapackage` library, triggering the observer when the asynchronous load completes. The sketch shows how MobX tracks and reacts to state changes in a minimal data-loading workflow.

78% match

Loading Data with React & D3

This example demonstrates how React and D3 can work together to load and summarize a CSV dataset. It fetches a list of CSS named colors from a GitHub gist using D3’s `d3.csv` utility, storing the parsed data in React state via the `useState` and `useEffect` hooks. While the data loads, it displays a loading message; once available, it shows the file size in kilobytes, row count, and column count, computed with `d3.csvFormat`. The visualization is minimal—just text in a `<pre>` element—but clearly illustrates the data-loading workflow.

CChristian Potdevin

Loading Data the React & D3

This example demonstrates how to load data with D3 utilities and manage it with React state. It fetches a CSV file from a GitHub gist using D3’s `d3.csv`, then displays a summary of the dataset via a React component. The summary shows the file size in kilobytes, the number of rows, and the number of columns, computed using `d3.csvFormat`. The visualization uses React’s `useState` and `useEffect` hooks to asynchronously load the data and update the display, rendering a plain-text message with a loading state initially.

Hhuashe418

Loading Data with React and D3

This example demonstrates a minimal React and D3 integration for loading and summarizing a remote CSV dataset. It fetches the data from a GitHub Gist containing CSS named colors, then displays the number of rows, columns, and file size in kilobytes. The code uses D3’s `csv` function with `useEffect` to load data asynchronously, stores the result in React state via `useState`, and renders a message built with `d3.csvFormat`. The interface shows a large loading text until the dataset arrives.

AAndy Chang

Loading Data with React and D3

This example demonstrates loading a CSV dataset into a React component using D3’s `d3.csv` method, fetching CSS named colors from a GitHub gist. Once the data arrives, it is stored in React state via the `useState` hook, and the raw data object is displayed directly in the DOM. The visualization renders as SVG, with the React app mounted into a root div, showing the asynchronous data-loading pattern in a minimal interface. The code highlights integration of D3’s data fetching with React’s component lifecycle.

Oonthebanks14