Fork of React & D3 Starter

Fork of React & D3 Starter

This example shows a multi-series line chart of renewable energy production (solar, wind, and hydro) over time, from 2000 to 2182, using data from a CSV file. It renders three colored lines, each with small data-point circles, plus axes, gridlines, labels, and a legend. The code builds an SVG using React and D3 v7, employing `d3.csv`, `d3.scaleLinear`, `d3.line`, `d3.axisBottom`, `d3.axisLeft`, and `d3.max` to create the visualization.

93% match

Fork of React & D3 Starter

This example presents a small dashboard that loads a CSV dataset, displays summary statistics (approximate file size, row count, and column count), and renders a simple bar-chart-like SVG picture. The page uses D3’s `csvParse` to read the data from a GitHub Gist, then updates the HTML stat cards and draws rectangles with `d3.select`’s `.join` API. The SVG bars are based purely on row index, not on data values, making the visualization a generic shape demo. The code is plain JavaScript within an HTML file, using D3 v7.

83% match

SSanjayRamaSwamyAdla@my.unt.edu

Fork of React & D3 Starter

This example renders a static line chart of daily values using React and D3.js v7. It shows a line path, x- and y-axes, and axis labels, with data from a hardcoded array of five day-value pairs. The visualization is drawn as an SVG using D3’s scaleLinear, extent, line generator, and axisBottom/axisLeft methods. The React component uses a useRef and useEffect to integrate D3 selection and rendering into the DOM.

83% match

Fork of React & D3 Starter

This example shows a line chart of monthly sales figures using an SVG rendered with D3 v7. The visualization plots sales data from a CSV file, adding red circular markers for each data point and a green line to connect them. The code uses D3’s `scalePoint` and `scaleLinear` for axes, `line` for the path, `axisBottom` and `axisLeft` for ticks, and `csv` to load the data.

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This example demonstrates data loading and basic summary statistics using D3.js within an HTML page. It fetches a remote CSV file, displays the file size, row count, and column count, and generates a simple SVG bar chart representing the first ten rows. The visualization uses D3's `csvParse` method to parse the dataset and `select`/`selectAll`/`join` APIs to create and style the bars and labels. Minimal styling and layout are achieved with plain CSS.

Fork of React & D3 Vibecoding Starter

This example shows a simple bar chart of letter frequencies from a small CSV dataset. The chart uses a React component with hooks and a ResizeObserver for responsive dimensions. D3’s scaleBand and scaleLinear create the scales, while axisBottom and axisLeft render axes with gridlines. Clicking a bar toggles a selected state, changing its fill and opacity through transitions. The code integrates D3 selections with React state management, using modular rendering functions for the SVG, title, bars, and data loading.

NNita

Fork of React & D3 Vibecoding Starter

This example shows an interactive bar chart of letter frequencies loaded from a CSV file. D3 v7 parses the data with `d3.csv`, while React manages the component state and a `ResizeObserver` tracks container dimensions. Clicking a bar toggles its highlight by updating React state, which re-renders the SVG with adjusted fill and opacity. Axes are created with `d3.axisBottom` and `d3.axisLeft`, and scales using `d3.scaleBand` and `d3.scaleLinear`.

Ssravya7136@gmail.com