making bar chart

100%

making bar chart

✓ Published0🌍 Public

Last edited May 15, 2020

Created on May 15, 2020

This example shows a static horizontal bar chart ranking the populations of ten countries, with China and India clearly leading and Mexico at the lower end. The chart uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the continuous x-axis, rendering bars via SVG `rect` elements with a simple fill color. The code loads the data from a CSV file using `d3.csv`, sorts the entries by population in descending order, and appends labels for each country name alongside its corresponding bar. No axes, gridlines, or interactive features are present, keeping the visualization minimal and focused on the raw values.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a bar chart

This example shows a horizontal bar chart ranking the populations of ten countries, from China at the top to Mexico at the bottom. Using D3 v5, the code loads the data with `d3.csv`, maps population values with a linear scale, and positions bars with a band scale. It draws an SVG with `d3.axisLeft` for the country labels and a bottom axis created via a custom `axisBottom` call, while styling removes domain lines and ticks.

AAdam Usmani

91% match

Loading thumbnail…

Making a bar Chart

This example shows a horizontal bar chart of country populations, ranking ten nations from China to Mexico using data loaded from a CSV file. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft` and `axisBottom` to render axes as SVG. Population values are read as strings and multiplied by 1000 before being mapped to bar widths. Bars are appended as `rect` elements within a translated group, styled with steelblue fills via external CSS.

Ppengpenghub

90% match

Loading thumbnail…

Making a Bar Chart

A horizontal bar chart displays population figures for ten countries, sorted in descending order from China to Mexico. The bars use a linear scale for population values and a band scale for country names, with axes labeled accordingly. Built with D3 v5, the visualization loads data from a CSV file, converts population strings to numbers, and renders the chart as SVG rectangles. The code employs d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to construct the visualization.

Nnobuyamayoshi

90% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart ranking the populations of ten countries, from China at the top to Mexico at the bottom. The visualization uses D3 v6 with the `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to position bars and axes within an SVG. Population values are loaded from a local CSV file and scaled by 1,000. The chart renders with steel-blue bars and labeled text, with margins applied to the SVG’s fixed dimensions.

NNathan Neelis

90% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart ranking ten countries by population, from China down to Mexico. It is an SVG rendering built with D3 version 6, using the `csv` function to load the data, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` to draw the axes. The chart is generated by appending `rect` elements to an SVG group, with the data sourced from a CSV file where population values are multiplied by 1000.

Zzlastefcia

90% match

Loading thumbnail…

Making a barchart

A horizontal bar chart displays the populations of ten countries, with China and India leading and Mexico trailing. The visualization uses D3 v5 APIs including `csv` for loading data, `scaleLinear` and `scaleBand` for scales, and `axisLeft`/`axisBottom` for axes. Population values are converted from thousands to absolute numbers before rendering as SVG rectangles, styled with steelblue fill.

JJake

90% match

Loading thumbnail…

Making a bar chart

This example shows a horizontal bar chart of population by country, ranking the ten most populous nations from China to Mexico. It uses d3.csv to load the data, d3.scaleLinear for the x-axis population scale, and d3.scaleBand for the categorical y-axis. The chart renders as SVG rectangles with steelblue fill, with d3.axisLeft and d3.axisBottom providing labeled scales. Margins and a group transform position the plot, while the population values are multiplied by 1000 to reflect full counts.

Ffaquora

90% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart ranking the populations of the world’s ten most populous countries, with bars ordered from China down to Mexico. The visualization uses D3 v5’s `csv` method to load data from a local CSV file, converting population values to absolute numbers before rendering. It builds scales with `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, and draws the bars as SVG `rect` elements. Axes are generated using `axisLeft` and `axisBottom`, with the chart laid out inside a configured margin.

CCodeHandLuke

90% match