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Smoothed D3.js Radar Chart

This smoothed radar chart visualizes energy-related data, showing how intensity values vary across different sectors. The chart uses filled, semi-transparent areas with rounded strokes for each sector, overlaid on circular grid lines with percentage labels. A legend identifies each sector by color. Built with D3.js version 3, the visualization loads `data.json`, computes average values for sorting, and uses a linear radius scale to map data points onto the radar axes. The implementation includes a glow filter and tooltip support for enhanced interactivity.

SSrijan kumar

Stylized Line React

A stylized line chart visualizes temperature readings over time, with the data plotted in a smooth natural curve across a clean Cartesian plane. The visualization utilizes React components to render SVG elements, employing D3's `scaleTime` and `scaleLinear` for axis scaling, `line` with `curveNatural` for path construction, and custom `AxisBottom` and `AxisLeft` components for tick marks. The chart presents a single continuous trend line, styled with a teal stroke, against a minimal background with labeled axes indicating time and temperature, sourced from a remote CSV file fetched via D3's `csv` function.

Ww.fukuyama@gmail.com

react time line chart styled

This interactive visualization displays temperature readings over time as a smooth line chart with circular markers, rendered as SVG within a React application. The chart uses d3.scaleTime for the x-axis and d3.scaleLinear for the y-axis, with d3.line and curveNatural generating the smoothed path. Built with React 17 and D3 v7, the code loads temperature data from a CSV file via d3.csv, and includes tooltips on hover for each data point using SVG title elements.

MMalcolm Mead

line chart

This line chart visualizes temperature trends over time using a smoothed cardinal spline curve. The React-based code renders SVG marks, including a path for the line and circles for individual data points, with hover tooltips. It leverages d3's `scaleTime`, `scaleLinear`, and `line` API, along with `curveCardinal` for the interpolated curve. Data is loaded from a CSV file.

MMATTE-blz

Untitled

A small-multiple area chart displays monthly energy consumption across different sites, with each panel representing a distinct location. The visualization uses D3.js v4 to load data from a CSV file, parse the time series, and render a separate small SVG chart for each site. The code employs d3.nest() to group data by site, d3.line() for path generation, and d3.scaleOrdinal() for color encoding, with axes rendered per chart.

Mmab3105

Untitled

A line chart visualizes a dataset of 13 coordinate pairs, plotting dependent values against independent variables across a 500x400 SVG canvas. The example uses D3 v4 within a React framework to construct a linear chart with labeled axes, a title, and red circular markers. The code specifically employs `d3.scaleLinear` for axis scaling, `d3.axisBottom` and `d3.axisLeft` for ticks, and a custom line generator via `d3.line` with monotone curve smoothing to connect the data points. The visualization is rendered entirely as SVG elements, with fixed margins and translated groups for positioning.

Nnamansinghal1420

Chart redesign

This visualization redesigns a line chart of daily humidity data from a local weather dataset, highlighting seasonal patterns and mean humidity levels. Using D3 v5 within a React framework, it sorts and downsamples the time-series data, then renders an SVG with an area chart, individual data points, and seasonal background bands for Spring, Summer, Fall, and Winter. The code employs `d3.area`, `d3.scaleTime`, and `d3.timeParse` to generate the chart, while linear gradient definitions and season mean lines provide additional visual context.

Jjbruzzo

React D3 Conditional Line Chart Practice

A time-series line chart tracks a risk value as a percentage over monthly intervals from 2015 to 2016, with each data point colored by a conditional threshold: green below 50, amber between 50 and 75, and red above 75. Dashed reference lines mark the 50% and 75% boundaries. Built with React and D3 v6, the visualization uses `scaleTime` and `scaleLinear` for axes, `d3.line()` for the connecting path, and `d3.csv` to load the data from points.csv. SVG circles render each point, with hover tooltips showing the exact value via the `<title>` element.

AAndre J Denais