requirebin sketch

100%

requirebin sketch

✓ Published0🌍 Public

Last edited Sep 21, 2016

Created on Sep 21, 2016

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.

AI-generated description

Similar vizzes

Loading thumbnail…

requirebin sketch

This example demonstrates two MobX patterns for managing derived state in a React application. It shows how `mobx.observable` creates reactive state objects, while `mobx.autorun` automatically tracks dependencies and re-runs a "someReallyExpensiveTest" function whenever the input changes. The visualization contrasts an imperative approach using `autorun` with a declarative approach using computed getters that chain `isBoolean` and `isString` properties. Console output logs state transitions as inputs toggle between booleans and strings, highlighting MobX's reactivity model.

HHypercubed

82% match

Loading thumbnail…

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.

HHypercubed

80% match

Loading thumbnail…

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.

HHypercubed

79% match

Loading thumbnail…

requirebin sketch

This example demonstrates a data-package loading workflow using the chi-datapackage library within a Vue-based requirebin sketch. It shows how to fetch a datapackage from a GitHub URL, normalize its resources and schemas, and load its data. The code then programmatically adds a new CSV resource containing the values `A,B,C` and `1,2,3`, updating the package state. State changes are logged to the console, illustrating the store’s reactive `onStateChange` and `onError` callbacks. The example highlights the chi-datapackage API’s promise-based pipeline for loading, normalizing, and processing tabular data resources.

HHypercubed

78% match

Loading thumbnail…

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.

HHypercubed

76% match

Loading thumbnail…

Fork of Loading Data with React & D3

This example demonstrates how React state management can integrate with D3 data loading. The visualization shows a loading screen with a text summary of the CSS named colors dataset displayed in a large monospace font. The code uses React's `useState`, `useEffect`, and `useCallback` hooks alongside D3's `csv` function to fetch and parse the data from a GitHub gist URL. Once loaded, the `message` function formats the dataset size, row count, and column count for display, highlighting the interaction between React's component lifecycle and D3's data utilities.

YYedrup

64% match

Loading thumbnail…

loadin data w react & d3

This example demonstrates loading a CSV dataset with D3 and storing it in React state for display. It fetches a named colors dataset from a GitHub gist using `d3.csv`, then uses React hooks (`useState`, `useEffect`) to manage the asynchronous data loading. Once loaded, the custom `message.js` module computes and displays the dataset’s row count and approximate file size in kilobytes. A loading placeholder appears while the request is pending.

Ddanilo

64% match

Loading thumbnail…

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

63% match