loreal charts_data separations

100%

loreal charts_data separations

✓ Published0🌍 Public

Last edited Oct 11, 2019

Created on Oct 9, 2019

This example shows a horizontal bar chart that visualizes the percentage of survey respondents by Canadian region, with each bar labeled at its end with the corresponding percentage value and a percentage-formatted x-axis. The chart uses D3 v5’s `csv` loader to parse the dataset, `scaleLinear` and `scaleBand` for positioning, and `axisLeft` and `axisBottom` to render the axes while hiding tick lines via CSS. Data is aggregated using `d3.nest` with a `rollup` function that calculates the proportion of entries per region.

AI-generated description

Ths bar char shows the axes customization of the axis to mirror the elements in a similar way as the standard report

MIT Licensed

Similar vizzes

Loading thumbnail…

loreal_data transitioning

This example demonstrates how demographic survey data can be interactively explored by switching between different categorical groupings. The bar chart displays the percentage distribution of respondents across gender, generation, province, or age group, with the selected category updating the visualization. Built with D3 v5, the code loads data from a CSV file and uses `d3.nest()` with `rollup` functions to aggregate counts into percentages. The SVG rendering employs `scaleLinear` and `scaleBand` for the axes, with buttons triggering the data swap and horizontal bars displaying percentage labels.

HHilario Calderon

81% match

Loading thumbnail…

loreal dataviz updates

This interactive bar chart displays survey respondent demographics, with buttons to toggle between gender, age group, generation, and province categories. The horizontal bars show the percentage of respondents in each category, with labels indicating the exact values. Using d3.v5, the visualization loads CSV data, computes grouped percentages via `d3.nest()`, and renders SVG rectangles with animated transitions. Axes and labels are generated with `axisLeft`, `axisBottom`, and `scaleBand`, while button clicks trigger the `update` function to swap datasets.

HHilario Calderon

80% match

Loading thumbnail…

loreal charts_axes customization

This example shows a horizontal bar chart of age-group percentages derived from survey data about RuPaul’s Drag Race viewership and makeup habits. The chart customizes the axes by hiding tick lines, formatting x-axis labels with a percentage sign, and positioning value labels at the end of each bar. Using d3.csv, d3.nest, d3.scaleBand, d3.scaleLinear, d3.axisLeft, and d3.axisBottom, the code processes the data and renders the visualization with SVG rect and text elements.

HHilario Calderon

79% match

Loading thumbnail…

loreal charts

This bar chart displays the count of survey respondents grouped by gender, with the data sourced from a CSV file containing responses about RuPaul’s Drag Race viewing habits and makeup usage. The visualization uses d3.nest() to aggregate records and d3.scaleBand for the categorical y-axis, d3.scaleLinear for the quantitative x-axis, and d3.axisLeft and d3.axisBottom to render axes. The SVG rendering shows horizontal bars with steelblue fills, highlighting the distribution of male versus female participants in the dataset.

HHilario Calderon

76% match

Loading thumbnail…

loreal parsing

This interactive bar chart visualizes survey responses about RuPaul’s Drag Race viewing habits, makeup use, and demographics. Users can toggle between four views—gender, age group, generation, and province—to see the percentage distribution of respondents for each category. The visualization uses D3 v5 to load CSV data, nest and aggregate counts, and render horizontal bars with SVG. Buttons trigger updates to redraw the chart with different aggregated datasets.

HHilario Calderon

73% match

Loading thumbnail…

Loading CSV Data

A horizontal bar chart displays the proportion of English speakers in Canadian electoral districts, sorted in descending order. The visualization loads data from a CSV file hosted on GitHub using `d3.csv`, then maps each district's geo code to the y-axis via `d3.scale.ordinal` with `rangeRoundBands`, and its English-speaking proportion to the x-axis via `d3.scale.linear`. Bars are rendered as SVG `rect` elements with hover titles showing the district code and percentage. Axes are drawn using `d3.svg.axis`.

AAlfsig

73% match

Loading thumbnail…

D3 Chart

This example shows a horizontal bar chart of country populations, with bars scaled linearly by population and countries ordered alphabetically along the vertical axis. The chart uses D3 v5’s `csv` loader to parse data.csv, `scaleLinear` and `scaleBand` to map values, and `axisLeft`/`axisBottom` for labeled axes. Rects are appended to an SVG group and filled with steelblue, while the page includes a rotated text label. The data is loaded asynchronously from a CSV file and rendered entirely in SVG.

Iikimes

73% match

Loading thumbnail…

LALA: Build a bar chart!

This visualization is a simple bar chart that displays the population for a set of countries. It uses D3 version 5 to map the data, with a linear scale for the x-axis and a band scale for the y-axis. The chart is rendered as an SVG, with bars drawn as rectangles and axes added using the `axisLeft` and `axisBottom` functions. The data is loaded from a CSV file.

Llinlala

72% match