Skip to main content
SimilarExport ZIP
100%

My bar chart

✓ Published0🌍 Public
Ssaipaidipalli
Last edited Jul 22, 2023
Created on Jul 22, 2023
Forked from D3 Starter

This example shows a stacked bar chart comparing the counts of four travel classes: Economy, Business, FirstClass, and Private, with a title labeling the data as “World Wine Production 2018.” The chart is rendered on a canvas element using the Chart.js library, with its `Chart` constructor configuring the chart type as `stacked` and providing the data arrays for labels and values. The visualization sets the legend to hidden and displays only the title, using the canvas’s default styling for a simple, single-dataset presentation.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

My bar chart

This bar chart visualizes the distribution of traveler counts across four travel classes: Economy, Business, First Class, and Private, with values of 100, 50, 20, and 3 respectively. The chart uses Chart.js version 2.9.4 and renders to an HTML canvas element. The data is hardcoded as arrays in the script, with the chart configured to display a title describing the dataset as "World Wine Production 2018," though the labels suggest travel categories. The legend is hidden, and the chart is styled responsively with a maximum width of 600 pixels.

Ssaipaidipalli
90% match
Loading thumbnail…

Untitled

This example uses Chart.js 2.9.4 to render a static bar chart on a Canvas element. It displays a single dataset of four values—100, 50, 20, and 3—labeled by flight class, including Economy, First Class, Business, and Private. The chart’s title, “People travelling in a flight,” appears above the bars, and the legend is hidden. The code creates the chart by passing a canvas ID and configuration object, specifying the chart type, data labels, and visual options directly in the script.

Ssaipaidipalli
79% match
Loading thumbnail…

Stacked Bar Chart

This stacked bar chart displays three categories (category1, category2, category3) across three groups: Economy, Business, and First Class. The visualization uses D3 v7 to render SVG rectangles, with each bar segment stacked vertically using the `scaleBand` and `scaleLinear` scales. The code defines the data in a JavaScript array and applies `d3.axisBottom` and `d3.axisLeft` to generate the x and y axes. Color-coded segments (blue, orange, green) represent each category, showing their proportional contributions to the total value per group.

Ssaipaidipalli
73% match
Loading thumbnail…

Tourism Stacked Bar Chart

This example shows a stacked bar chart of tourist visitor numbers by year, with each bar segment representing a different country’s contribution. The chart uses D3 v7 to load CSV data via `d3.csv`, then renders an SVG with `scaleBand` for the x-axis, `scaleLinear` for the y-axis, and `scaleOrdinal` with `schemeCategory10` for colors. Bars are constructed by grouping data per year and stacking segments for each country. The visualization includes axes labels, a title, and a legend, with the y-axis measuring visitors and the x-axis showing years from 1995.

Ssaikrishnabussa
71% match
Loading thumbnail…

Stacked Bar Chart Creation

This example shows a stacked bar chart of tourist counts by region across years, using a color-encoded legend and tooltips for interactivity. The visualization is built programmatically with the Vega-Lite API (`vl.markBar`, `vl.x`, `vl.y`, `vl.color`, `vl.tooltip`), which is registered with Vega and Vega-Lite via `vl.register`. Data is loaded asynchronously from a CSV file using D3's `csv` function, and the chart is rendered as an SVG within the body of the page. Appearance is customized through a config object that sets axis, tick, and label colors.

SSwapna1915
70% match
Loading thumbnail…

Stacked Bar

This stacked bar chart visualizes counts of four answer categories—Strong Correct, Strong Wrong, Weak Correct, and Weak Wrong—across five dates in November 2021. Each bar segment is color-coded and labeled using Chart.js’s datalabels plugin, with black borders delineating segments. The chart uses Chart.js’s stacked bar configuration, setting both x and y axes to stacked mode and enabling counts to accumulate per date. Data is hardcoded in a JavaScript object, and the canvas renders via the HTML5 Canvas API.

JJeyasuriya M
70% match
Loading thumbnail…

stacked bar

A stacked bar chart displays records published by month in 2015, broken into four categories: Geographic, Dataset, Application, and WebService. The chart uses D3.js (v3.5.5) to load the CSV data from `views.csv`, compute cumulative y-values for each segment, and render colored rectangles per category. An ordinal x-scale maps months, a linear y-scale encodes total counts, and a legend identifies the color-coded categories. The SVG rendering includes axes formatted with the `.2s` tick format and uses `d3.svg.axis` for the bottom and left axes.

MMbrownshoes
70% match
Loading thumbnail…

1114StackBarChart

This stacked bar chart displays four months of fruit production data, with apples, bananas, cherries, and dates layered from bottom to top. The visualization uses d3.stack() to transform the input dataset into stacked series, then renders each category as a colored SVG rectangle within a group using a data join. Axes are generated with d3.axisLeft and d3.axisBottom, with the x-axis formatted as month-day labels via d3.timeFormat. The chart uses a linear scale for the y-axis and a band scale for the x-axis, with a categorical color scale applying the d3.schemeSet3 palette to distinguish fruit types.

Vvivianaaai@qq.com
70% match