Making a Bar Chart

Making a Bar Chart

This example presents a horizontal bar chart of the population of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization encodes population with bar length and country names along the y-axis, rendered as SVG rectangles. Built with d3.v5, it loads data from a CSV file and uses d3.scaleLinear and d3.scaleBand for axes, with d3.axisLeft and d3.axisBottom for labels. The code applies a steelblue fill to the bars via CSS.

Jjacobs-splunk

Making a Bar Chart

This example presents a horizontal bar chart showing the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects 2017. It uses D3 v5's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population values and country names to SVG rectangles. Data is loaded from a CSV file and processed by multiplying the population values by 1000. The chart renders entirely as SVG, with bars styled in steelblue, and the code illustrates a basic data-join and margin setup for reusable visualization.

Vvoiletymr

Making a Bar Chart

This example displays the populations of the world’s ten most populous countries as a horizontal bar chart, using 2018 estimates from the United Nations World Population Prospects. The chart is rendered as SVG, with bars encoded by a linear population scale and countries by a band scale. Built with D3 v6, the code uses `csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for axes. Population values are multiplied by 1,000 to reflect actual figures, and bars are styled with a steelblue fill.

Aanuj1450

Making a bar chart

A horizontal bar chart displays the populations of the ten most populous countries using 2018 estimates from the World Population Prospects 2017 dataset. The chart uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and render SVG axes and rectangles. Population values are converted from thousands and scaled to bar widths, with country names positioned on the y-axis.

CConnor Bailey

Make a BarChart

This example visualizes the populations of the ten most populous countries using a horizontal bar chart, based on 2018 estimates from World Population Prospects 2017. The chart encodes country names on a band scale and population counts on a linear scale, with bars rendered as SVG rectangles. It loads data from an external CSV file via `d3.csv`, converts population values from thousands to absolute numbers, and builds the axes using `axisLeft` and `axisBottom`. The implementation relies on D3 v6 modules such as `scaleLinear`, `scaleBand`, and `select`.

DDataFeast_71

Making a Bar Chart

This example displays the population of the ten most populous countries, based on 2018 United Nations estimates from World Population Prospects 2017, as horizontal bars. The chart uses D3 v5 with `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` for tick rendering. Data is loaded from a CSV via `d3.csv`, and each bar’s width is scaled proportionally to population values, multiplied by 1000. The SVG output is styled with steelblue rectangles.

RReshma R

Making a Bar Chart

This example presents a horizontal bar chart of the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 to load a CSV file with `d3.csv`, then scales the data with `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Axes are generated with `axisLeft` and `axisBottom`, while bars are appended as SVG `rect` elements. Population values are multiplied by 1,000 before rendering.

Mmargaretgoode

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart uses an SVG rendered with D3 v5, importing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the `d3` module. Population values from the CSV are converted to numbers and multiplied by 1000 before being mapped to bar widths. The y-axis positions country names, while the x-axis scales population linearly, with steelblue bars and labeled axes.

YYanxiangZhu