环境性能数据随时间变化线性图

环境性能数据随时间变化线性图

This visualization displays how three system performance metrics—I/O, network, and CPU utilization—change over a 45-second time interval. The data, sourced from a CSV file, is plotted as smoothed line charts using D3 v5’s `line()` and `curveMonotoneX` to create smooth curves. Each metric is represented by a distinct colored line and accompanying circular scatter points, with hover tooltips revealing exact percentage values. The chart is rendered as an SVG, with axes created via `axisBottom` and `axisLeft`, and it includes a manual legend at the top.

Wwyh1029

96% match

环境性能数据随时间变化线性图

This line chart tracks the environmental performance metrics of I/O, network, and CPU usage over 45 timestamps, with each metric color-coded and overlaid with circular data points for precise value identification. The visualization uses D3 v5 to create a smooth, monotone-curved line chart via the `d3.line` and `d3.curveMonotoneX` APIs, with axes generated through `d3.axisBottom` and `d3.axisLeft`. Data is loaded from a CSV with timestamp and metric columns, and the SVG rendering includes hover tooltips displaying percentage values for each point. A legend distinguishes the three data series.

Sshehrbano1248

94% match

Time based moving graph

A time-based line chart displays four network performance metrics—Partner, PCL, GOLAN, and DriveU—measured in MBPS over a two-minute period. The visualization animates by smoothly translating the x-axis and line paths leftward, creating the effect of a moving time window. Data is loaded from a CSV file and parsed into JavaScript Date objects. The chart uses D3 v6 scales, axes, line generators with basis curves, ordinal color scales, and clip paths to reveal the moving portion, with a linear transition controlling the animation speed.

75% match

Performance Visualization Dashboard

This dashboard visualizes runtime performance across frames using three coordinated D3 v6 SVG charts. A bar chart shows functions with the longest total runtime, while a scatter plot details the breakdown of the longest frame by function. An interactive line chart connects performance points over tick time, enabling selection of specific frames. The visualization uses d3.csv for data loading, scaleBand, scalePoint, scaleLinear, axisLeft, axisBottom, and d3.timeParse to structure the CSV data containing Tick, Identifier, and Runtime fields.

IINDIGOBLIN

73% match

Seismograph - almost

Four high-speed network lines—Partner, PCL, GOLAN, and DriveU—animate as a scrolling seismograph of throughput values in Mbps, moving leftward over a two-minute window. Built with d3.v6, the SVG paths use `line()` generators, a time-scaled x-axis, and a linear y-axis capped at 16, while a `transition` with `easeLinear` translates the clipped chart continuously. Data are parsed from the CSV and colored via an ordinal scale with `schemeCategory10`.

Line Chart

This line chart visualizes temperature data over time, using a smooth basis curve to connect data points. The chart is rendered as SVG in a D3.js v5 application, with axes created using `scaleTime`, `scaleLinear`, `axisLeft`, and `axisBottom`. The line is drawn with the `line` generator and `curveBasis` for a smooth path. The data is loaded from a CSV file hosted on VizHub, and the plot includes labeled time and temperature axes with a title.

Yylzami40

Time based moving graph changed colors

A time-based line chart animates four network data series—Partner, PCL, GOLAN, and DriveU—across a moving time window, with each line rendered in a distinct color that remains constant. The chart displays MBPS values against timestamps from a CSV file, using SVG paths and a smooth transition that shifts the x-axis and lines horizontally over time. Built with D3 v6, it uses `scaleTime`, `scaleLinear`, `scaleOrdinal`, and `line` with `curveBasis`, while `transition.attr` with an `easeLinear` timing function drives the animation, clipping the viewport to show a sliding window of recent data.

Fork of Seismograph - almost almost

This visualization presents a seismograph-style line chart displaying network throughput in megabits per second for four server endpoints (Partner, PCL, GOLAN, DriveU) over a two-minute period. Four colored lines, each representing an endpoint, trace the fluctuating data values across the timeline. The visualization uses a scrolling x-axis, which animates through the time series data to simulate a real-time monitoring view. The implementation uses d3.scaleTime, d3.scaleLinear, and a d3.line generator, with the x-axis positioned within a clipped group to enable the scrolling effect. Data comes from a CSV file containing per-second performance metrics.