Skip to main content
SimilarExport ZIP
100%

1116西北crosswalk堆叠图

✓ Published1🌍 Public
Vvivianaaai@qq.com
Last edited Nov 17, 2023
Created on Nov 16, 2023

This visualization displays a stacked bar chart of traffic counts for a single crosswalk lane, breaking down volumes into pedestrians, non-motorized vehicles, and motor vehicles. The single bar shows 119 pedestrians, 17 non-motorized vehicles, and 0 motor vehicles, with stacked segments colored via d3.schemeSet3. Built with D3 v6 and rendered as SVG, the code uses d3.stack(), d3.scaleBand(), d3.scaleLinear(), and d3.axisLeft/axisBottom to construct the chart. A separate HTML legend is generated using D3 selections with colored swatches. The example appears to derive from a crosswalk traffic study dataset.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

1116西南crosswalk堆叠图

This stacked bar chart displays the count of pedestrians, non-motorized vehicles, and motor vehicles at a single crosswalk location (ID 0), with each category represented by a colored segment in the bar. The visualization uses D3.js v6 within an SVG canvas, employing the `d3.stack` and `d3.scaleBand` APIs to compute and position the stacked segments, while a CSS-based legend, built with `d3.select` and `.enter()`, identifies the three categories. The data is hardcoded in the index.html file, and the chart renders with labeled axes and a fixed 1600x800 viewport.

Vvivianaaai@qq.com
95% match
Loading thumbnail…

1116东南crosswalk堆叠图

This example shows how traffic counts for pedestrians, bicycles, and motor vehicles at a single crosswalk are visualized as a stacked bar chart. A single bar represents the total count for one lane, with each stacked segment colored according to category using D3’s `scaleOrdinal` and `schemeSet3`. The chart uses `d3.stack()` to compute the stacked series, `scaleBand` for the x-axis, and `scaleLinear` for the y-axis. The legend is built with plain HTML divs, while axes are rendered via `d3.axisLeft` and `d3.axisBottom`.

Vvivianaaai@qq.com
92% match
Loading thumbnail…

1116东北crosswalk堆叠图

This example visualizes a stacked bar chart of traffic categories—pedestrians, non-motorized vehicles, and motor vehicles—across a single crosswalk lane. A stacked series shows each category’s count as a colored segment, with the total height representing the overall value. The visualization uses D3 v6’s `d3.stack()` to transform the data into stacked series, `d3.scaleBand()` for the categorical x-axis, and `d3.scaleLinear()` for the y-axis. It renders as an SVG, with a custom legend built from D3 selections and color mapping via `d3.scaleOrdinal()` with `d3.schemeSet3`.

Vvivianaaai@qq.com
92% match
Loading thumbnail…

1120所有堆叠图（右转-过街）

This stacked bar chart visualizes traffic flow across 27 lanes at an intersection, showing counts of pedestrians, non-motorized vehicles, and motor vehicles. The SVG rendering uses `d3.stack()` to create stacked segments for each lane category, with `d3.scaleBand` positioning the bars and `d3.scaleOrdinal` assigning colors from `schemeSet3`. A tooltip appears on mouseover, displaying the percentage each category contributes to the lane’s total. The data is embedded directly in the code, and the visualization includes axis labels and a custom legend.

Vvivianaaai@qq.com
87% match
Loading thumbnail…

1117所有堆叠图

This stacked bar chart visualizes traffic counts across 28 lane segments, categorizing volumes into pedestrians, non-motorized vehicles, and motor vehicles by lane ID. Animated on page load, hovering over any bar segment reveals a tooltip displaying the exact count and percentage share of that category within the total for its lane. Built with React and D3 v6, it uses `d3.stack()` to generate the layered series, `d3.scaleBand()` and `d3.scaleLinear()` for positioning, and `d3.scaleOrdinal()` with `d3.schemeSet3` for color encoding. A custom HTML legend and SVG-rendered axes complete the visualization.

Vvivianaaai@qq.com
86% match
Loading thumbnail…

1115东进口道堆叠图

This stacked bar chart visualizes traffic composition across six lane IDs at an intersection, breaking down counts of pedestrians, non-motorized vehicles, and motor vehicles. The chart uses D3 v6’s `d3.stack()` with `stackOrderNone` to layer the three categories, while `d3.scaleBand` and `d3.scaleLinear` position bars and encode counts. Rendered as an SVG within a React framework, the visualization applies `d3.schemeSet3` for categorical colors and labels axes with `d3.axisLeft` and `d3.axisBottom`. Data includes lane 4 as the busiest, with mixed traffic, and lane 5 empty.

Vvivianaaai@qq.com
85% match
Loading thumbnail…

1115西进口道堆叠图

This stacked bar chart visualizes traffic volume at the west entrance of Road 1115, broken down by lane and user type (pedestrians, non-motorized vehicles, and motor vehicles). The SVG rendering uses d3.stack to create the layered segments, with d3.scaleBand for lane positioning, d3.scaleLinear for the y-axis, and d3.scaleOrdinal with the schemeSet3 color palette. Each lane’s stacked segments show the proportional counts of three transportation modes, using d3.axisLeft and d3.axisBottom to display the scales.

Vvivianaaai@qq.com
85% match
Loading thumbnail…

1115北进口道堆叠图

This visualization uses a stacked bar chart to show counts of pedestrians, non-motorized vehicles, and motor vehicles across six lane IDs (0-5) at a northern entrance. The chart displays the data with each lane as a category on the x-axis and the stacked categories as colored segments, with a legend below. The implementation uses D3 v6 in a React framework, rendering SVG elements. The code employs `d3.stack` to create the stacked series, `d3.scaleBand` for the categorical x-axis, `d3.scaleLinear` for the y-axis, and `d3.scaleOrdinal` with `d3.schemeSet3` for colors. Data is hardcoded in the `naiveData` array, and axes are drawn using `d3.axisLeft` and `d3.axisBottom`.

Vvivianaaai@qq.com
84% match