Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published0🌍 Public
Eedxiao97
Last edited Sep 30, 2019
Created on Sep 30, 2019
Forked from Hello VizHub

A line chart displays 21 randomly generated data points via d3.randomUniform, rendered as an amber monotone-smoothed path with circular markers in SVG. The visualization uses d3.axisBottom and d3.axisLeft for scales, with mouseover handlers logging data to the console but lacking full interactive tooltips. The line generator d3.line applies curveMonotoneX, while the chart fills the window and includes commented-out overlay code for potential focus interactions.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

A line chart displays 21 randomly generated data points as a smoothed orange curve, with dots marking each value along the x-axis. The visualization uses D3’s `d3.line` generator with `curveMonotoneX` for interpolation, while `d3.scaleLinear` maps the data index and random y-values to pixel coordinates. SVG circles are appended for each point, and mouseover events log the bound datum to the console, though no tooltip or interactive highlight is implemented. The chart includes x and y axes via `d3.axisBottom` and `d3.axisLeft`.

Hhaiyangwhy1015
92% match
Loading thumbnail…

Untitled

This example renders a simple line chart with twenty-one randomly generated data points using D3 version 5. The chart uses `d3.scaleLinear` for both axes and `d3.line` with `d3.curveMonotoneX` smoothing to draw the line, while individual data points appear as circles. The SVG output is styled with CSS classes for the line and dots, and mouseover events log data to the console. The visualization demonstrates basic D3 plotting techniques without external data sources, relying on `d3.randomUniform` for its synthetic dataset.

EEvan Burchard
90% match
Loading thumbnail…

Untitled

This example shows a continuously updating line chart that plots random data points in real time, with a smooth curve and a filled area beneath it. The chart scrolls horizontally as new points are added, while the x-axis shifts to keep the latest data in view. It uses D3 v4 scales and generators such as `d3.line` with `d3.curveCardinal` for the smooth path, `d3.area` for the fill, and `d3.axisBottom` for the axis. Animated transitions with `transition.attr` and `ease` shift both the path and area, with grid lines drawn as static SVG paths.

IIgor Borzunov
84% match
Loading thumbnail…

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
83% match
Loading thumbnail…

Untitled

This example shows a line chart tracking popularity over time, with an animated drawing effect when new data is loaded. Clicking the "Update Chart" button generates randomized popularity values for the same years and redraws the line using a transition. The visualization uses D3.js scales, axes, and a path generator, with `d3.transition` and `d3.easeSin` to animate the stroke-dashoffset from full length to zero, creating a progressive reveal. The chart is rendered as an SVG element, updating its x- and y-axes and the path’s data binding on each interaction.

KKkevingo
83% match
Loading thumbnail…

Untitled

A real-time scrolling line chart displays a stream of random data points, with a new value appended each tick and the oldest discarded, creating a smooth sliding window. The visualization uses D3 v3’s `d3.svg.line` with basis interpolation and `d3.scale.linear` to map time and value ranges, while `d3.svg.axis` renders the x- and y-axes. Animated transitions with `transition.attr` and a linear easing shift the plot and axis leftward, with an SVG clipping container to hide edges. React’s `useData` hook loads CSV data, though the main simulation generates its own values.

NNYY
82% match
Loading thumbnail…

Document

The visualization generates a random sequence of twenty charts, cycling through line charts, pie charts, and bar charts. Each line chart displays four smoothed monotone curves with colored dots, while the pie chart and bar chart render categorical and time-based data. Built with D3 v4, the code uses `d3.line`, `d3.arc`, and `d3.axisBottom`/`d3.axisLeft` to produce SVG output. Data is procedurally generated using `d3.randomUniform` and `d3.range`, with each chart styled via inline attributes and CSS classes.

DDabbar
82% match
Loading thumbnail…

Untitled

This visualization presents a sequence of line charts tracking a numeric value over time, with a small multiple layout that allows for comparative scanning across different series. Built with a custom JavaScript rendering pipeline that manually draws axes and data paths onto a Canvas element, the code uses D3.js’s `d3.scaleLinear` for proportional scaling and `d3.line` for path generation, while a mouse-driven crosshair dynamically highlights the nearest data point and its coordinates. The dataset appears to be synthetic, generated procedurally within the script rather than loaded from an external file.

GGunjan Paul
81% match