Fork of d3Edge_V5-dataLoading-v0.1

d3Edge_V5-dataLoading-v0.3

This example demonstrates a custom data-loading module for D3 v5 that manages asynchronous CSV and GeoJSON requests through a dispatch system. It shows how to load Zurich transit delay data from a remote CSV file, clean the rows by parsing timestamps and coordinates, and expose the processed dataset via a public API. The code uses `d3.csv`, `d3.json`, and a `d3.dispatch` event bus to signal loading progress and readiness, with a placeholder page indicating when data is available for console inspection.

93% match

d3Edge_V5-dataLoading-v0.4

This example demonstrates a modular data-loading system for D3.js v5, built around a custom dispatch event manager. It loads a CSV file of Zurich transit delay data and a separate TopoJSON geographic file, applying a cleaning function to parse timestamps and coordinates. The code uses asynchronous `d3.csv` and `d3.json` loading with custom `dataLoading`, `dataReady`, and `geoReady` events, and exposes methods like `getCleanedData()` for console inspection. The visualization itself remains a placeholder, showing a loading message and instructions while the data pipeline runs.

92% match

d3Edge_V5-dataLoading

This example demonstrates a modular data-loading pattern for D3.js v5, showing how to decouple CSV and GeoJSON fetching from chart rendering. It defines a `dataManager` module that uses `d3.csv` with async/await and `d3.json` to load external files, applying custom cleaning functions to the CSV data. The module dispatches custom events (`dataLoading`, `dataReady`) via `d3.dispatch`, and uses a custom replacement for the removed `d3.rebind` to expose event handling. The page displays a loading message until data arrives, then instructs users to inspect the cleaned data via `getCleanedData()`.

90% match

d3Edge_V5-drawRoutes-v0.1

This example builds an interactive map of Zurich and draws transit routes from a GeoJSON file using D3 v5. It demonstrates a modular map component that initializes a Mercator projection and sets up SVG rendering for geographic paths. The code explores loading GeoJSON data asynchronously via `d3.json` and a promise-based `.then()` callback, while a commented data manager module shows an alternative approach using `d3.dispatch` for custom events. Route data comes from the D3Edge GitHub repository, and the visualization uses `d3.geo.mercator` and `d3.geo.path` for projection and path generation.

75% match

Bbillmccabeusa@hotmail.com

Fork of Loading Data

This example demonstrates asynchronous data loading in D3, displaying the Iris Dataset as a raw JSON string in a `<pre>` element. The visualization initializes with a loading state, fetches the CSV file via `fetch`, and parses it using `d3.csvParse`. After conversion, numeric columns are cast to numbers before being rendered. The code uses `d3.select` and the `.join()` operation to update the displayed data, showcasing a minimal data-loading and state-management pattern with D3 v7.

Fork of Loading Data

This example demonstrates asynchronous data loading in a D3.js visualization. The code fetches a CSV file containing the classic Iris flower dataset, parses it, and displays the raw JSON-formatted data prominently as the primary output. The visualization progresses through distinct states—starting with undefined, transitioning to a "LOADING" message, and finally populating with the parsed array of objects. It uses D3's `select`, `join`, `csvParse`, and a state management pattern with `setState` to control the rendering and handle the fetch-and-parse pipeline.

Sskasliwal@wpi.edu

Fork of Loading Data

This example demonstrates asynchronous data loading with D3 v7 by fetching and parsing the Iris Dataset from a local CSV file. It shows the raw parsed data as a JSON-formatted text preview inside a `<pre>` element, updating the view once the data arrives. The visualization uses `fetch()` to request `data.csv`, converts the response text with `d3.csvParse`, and coerces numeric columns to numbers before storing them in state. The `viz.js` module manages a loading state, initially rendering nothing until the data is processed, then displaying the full dataset structure.

NNatália

Fork of Loading Data with React & D3

This example demonstrates loading a dataset of CSS named colors from a GitHub gist using D3’s `csv` utility, then managing the asynchronous result with React’s `useState` and `useEffect` hooks. While data loads, the interface displays the text “Loading,” and once fetched, it shows the raw parsed data as a string. The visualization is minimal, presenting the data directly without any charting or rendering, and relies on React 16.9 and D3 v5, with a small helper module that formats loading statistics such as file size and row/column counts.

CCorey Rodgers