Making a bar chart

Making a Bar Chart

This example displays the top 10 most populous countries in 2018 using a horizontal bar chart, with population values from UN World Population Prospects 2017. The SVG visualization uses d3.csv to load data, d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisLeft and d3.axisBottom to render the axes. Bars are drawn as SVG rect elements, filled with steelblue, with population numbers scaled by 1000.

OOvxOO

Making a Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the y-axis and population counts along the x-axis. The chart uses data from the United Nations World Population Prospects 2019, loaded from a CSV file. Constructed with D3 v5, the code uses `select`, `csv`, `scaleLinear`, `scaleBand`, `max`, `axisLeft`, and `axisBottom` to define scales and render SVG rectangles. The bar lengths encode each nation’s population, drawn in steel blue with an accompanying axis for reference.

Aarun-subba

Making a Bar Chart

A horizontal bar chart displays the top 10 most populous countries using population estimates from the 2018 United Nations World Population Prospects. The chart uses d3.csv to load data and d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom for axes, with tick labels formatted via d3.format. The SVG rendering includes custom axis removal and a title, demonstrating how to customize D3 axes for clear data presentation.

DDeeksha Dinkar

Making a Bar Chart

This example presents a horizontal bar chart of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The bars are rendered as SVG rectangles with a steelblue fill, and the chart includes customized D3 axes: a left axis with country names and a bottom axis with formatted population labels. The code uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` to load the CSV, compute scales, and draw the visualization.

MMukadder Cinar

Making a Bar Chart

This example shows the population of the top 10 most populous countries from the 2018 United Nations World Population Prospects estimate. The bar chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map the data, with bars rendered as SVG `rect` elements. It customizes the chart’s margins and axis labels, while the data is loaded from a CSV file using `d3.csv`.

Bbio_sun

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It shows the data as horizontal bars, with country names on the y-axis and population values on the x-axis. The visualization uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom for axes. It customizes the x-axis tick format to abbreviate large numbers and removes axis domain lines for a cleaner presentation.

KKrister

Making a Bar Chart

This bar chart visualizes the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects 2017. It demonstrates customized D3 v5 axes, including a formatted linear scale for population values with tick marks that abbreviate numbers (e.g., "B" for billions) and a band scale for country names. The chart is rendered as an SVG with steelblue bars, and the code uses D3 methods like `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `csv` to load and parse the data.

TTiffany Wu

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The chart uses D3 v5 with SVG rendering, employing `scaleLinear` and `scaleBand` for positioning, and customizes the axes with `axisLeft` and `axisBottom`. Population values are loaded from a CSV file and formatted with a custom tick format that abbreviates large numbers. The visualization also includes axis labels and a title, with gridlines created through the x-axis tick size.

PPhilippe Rigovanov