Stacked Bar Chart

100%

Stacked Bar Chart

✓ Published0🌍 Public

Last edited Oct 24, 2017

Created on Oct 24, 2017

A stacked bar chart displays the frequency of responses to a survey question about playing habits, broken down by occupational categories. Population totals across all categories are shown per response frequency, with each bar segment color-coded by profession. The chart is built using D3 v4 APIs including d3.csv for loading data, d3.stack for computing stacked positions, d3.scaleBand and d3.scaleLinear for positioning, and d3.scaleOrdinal for colors. Data is parsed from a CSV file and rendered as SVG with axes generated via d3.axisBottom and d3.axisLeft.

AI-generated description

This stacked bar chart is constructed from a CSV file storing the populations of different states by age group. The chart employs conventional margins and a number of D3 features:

d3-dsv - load and parse data
d3-scale - x- and y-position, and color encoding
d3-format - SI prefix formatting (e.g., “10M” for 10,000,000)
d3-array - compute simple statistics (e.g., max)
d3-axis - display axes
d3-shape - computed stacked positions

forked from <a href='http://bl.ocks.org/mbostock/'>mbostock</a>'s block: <a href='http://bl.ocks.org/mbostock/3886208'>Stacked Bar Chart</a>

forked from <a href='http://bl.ocks.org/anonymous/'>anonymous</a>'s block: <a href='http://bl.ocks.org/anonymous/614b5d5d6df20fb06867760f124636dd'>Stacked Bar Chart</a>

forked from <a href='http://bl.ocks.org/Jdlv00/'>Jdlv00</a>'s block: <a href='http://bl.ocks.org/Jdlv00/d763d4c91ceb3a81b8545a303507b2ce'>Stacked Bar Chart</a>

gpl-3.0 Licensed

Similar vizzes

Loading thumbnail…

Normalized Stacked Bar Chart

This example shows survey responses across different frequencies of playing, with each bar normalized to represent the proportion of respondents in each occupational category. The chart uses a stacked bar layout where the total height of each bar equals 100%, making it easy to compare category distributions across the frequency groups. The visualization is built with D3 v4, using `d3.stack()` with `d3.stackOffsetExpand` to normalize the data, and renders the bars as SVG rectangles. The data comes from a CSV file, and the chart includes a legend positioned along the rightmost bar to identify each occupational group.

JJdlv00

90% match

Loading thumbnail…

Stacked Bar Chart

This stacked bar chart visualizes the frequency of game-playing habits across different age groups, with each bar segment representing a specific frequency category. The data is loaded from a CSV file using d3-dsv, then processed with d3-array to compute totals and sorted in descending order. The chart uses d3-scale for positioning and color encoding, d3-shape to compute stacked positions, and d3-axis for the axes, with y-axis labels formatted using SI prefixes via d3-format. The visualization is rendered as SVG, displaying the full distribution of responses across all age cohorts.

JJdlv00

87% match

Loading thumbnail…

Diverging Stacked Bar Chart with D3.js

This visualization displays survey responses as a diverging stacked bar chart, with each row representing a question and colored segments showing the percentage of respondents who strongly disagree, disagree, are neutral, agree, or strongly agree. The chart uses D3.js v3 to load CSV data, compute percentage distributions, and render SVG rects and text labels via ordinal and linear scales. Alternating row backgrounds and a centered zero line aid readability, while a legend identifies the five response categories.

Jjhcliu19

80% 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

80% match

Loading thumbnail…

Stacked Bar Chart

This stacked bar chart shows population totals for each state, broken down by seven age groups, with each bar sorted by overall population and segments colored by age category. It loads data from a remote CSV file using d3.csv, then builds the visualization with d3.scaleBand for the x-axis, d3.scaleLinear for the y-axis, and d3.scaleOrdinal for color encoding. The stacked positions are computed using d3.stack, while d3.axisBottom and d3.axisLeft render the axes. The chart includes a legend and uses an SVG rendering approach with conventional margins.

MMTClass

79% match

Loading thumbnail…

Stacked Bar Chart w/ CSV- V4- Fully Commented

A stacked bar chart displays the distribution of eight age groups (0-10 through 71+) across five ethnic categories from a CSV dataset. The chart uses a single stacked bar per ethnicity, with each segment colored via `d3.scaleOrdinal` and `d3.schemeCategory20`. The x-axis uses `d3.scaleBand` for categorical spacing, while the y-axis uses `d3.scaleLinear` with a `d3.stack` layout to compute segment heights. Data is loaded and parsed with `d3.csv`, and the bars are rendered as SVG rectangles, with margins applied via a transform. The visualization is fully commented, explaining each D3 v4 API call.

663anp3ca

79% match

Loading thumbnail…

Stacked Bar Chart

This stacked bar chart displays the distribution of subgroups across categorical groups, with each bar segment colored by subgroup and stacked to show cumulative values. The visualization is built using D3 v4, loading CSV data from GitHub, and rendering SVG rectangles with a band scale for the x-axis and a linear scale for the y-axis. It uses `d3.stack()` to compute stacked values, `d3.scaleOrdinal` for colors, and includes an interactive tooltip element in the HTML structure.

JJames Huang

78% match

Loading thumbnail…

Stacked Bar Chart

This stacked bar chart displays the population of different states broken down by age groups, with each bar segmented into colored bands representing the age categories. The chart uses an ordinal x-scale for states, a linear y-scale for population counts, and a color ordinal scale for the age series. The visualization is rendered as SVG via D3 v3, loading data from a CSV file and using d3.csv, d3.scale.ordinal, d3.scale.linear, d3.format, d3.max, d3.keys, and d3.svg.axis. A legend identifies the age groups, while the bars are sorted by total population.

CCBasis

78% match