Color by Month Example

100%

Color by Month Example

✓ Published0🌍 Public

Last edited May 5, 2019

Created on Apr 30, 2019

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects 2017. Each bar’s height corresponds to population, with values labeled along the x-axis. The visualization uses d3.scaleLinear for axes and d3.axisBottom/d3.axisLeft for ticks, rendering as SVG. Clicking a legend item filters the chart, highlighting only the selected country’s bar while dimming others.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 with an SVG rendering, featuring a linear scale for population values and a band scale for country names. Customized axes include formatted tick labels that convert units to billions and a horizontal grid. The chart applies a steelblue fill to bars and includes a title and axis label.

KKevinw97

91% match

Loading thumbnail…

Bar Charts

This bar chart visualizes the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The chart displays population counts per country with a horizontal bar layout, using a linear scale for the x-axis and a band scale for the y-axis to position country names. The visualization is rendered as SVG using D3 v5, with custom axis formatting that abbreviates population numbers and uses scaleLinear, scaleBand, axisLeft, and axisBottom APIs. The code also demonstrates axis customization by removing domain lines and adding axis labels and a title.

Eexcalibur1987

90% match

Loading thumbnail…

bar chart

This horizontal bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations’ World Population Prospects 2017. The view prioritizes the data, showing each country’s population as a steelblue rectangle scaled by d3.scaleLinear, with country names positioned on a d3.scaleBand axis. The code uses D3 v5 APIs including d3.csv, d3.axisLeft, and d3.axisBottom to render the SVG chart, with margins and inner dimensions computed from the fixed width and height of the SVG element. Population values are converted from thousands to full numbers before plotting.

Ppei9223

90% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top ten most populated countries using 2018 estimates from the United Nations World Population Prospects. It encodes country names on the y-axis with a d3.scaleBand and population values on the x-axis with a d3.scaleLinear, rendering rectangles in SVG. The visualization uses d3.axisLeft and d3.axisBottom for the value labels and applies a hover effect that changes rectangle fill via CSS. Data is loaded through d3.csv and parsed as numbers before being mapped to the scales.

AAmar Nath Yogi

90% match

Loading thumbnail…

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. The visualization uses D3 v5 to load CSV data, scale linearly for population values, and scale band for country categories. SVG rectangles are rendered with axes generated by d3.axisLeft and d3.axisBottom, with the data formatted by multiplying each population value by 1,000.

Zzren2

90% match

Loading thumbnail…

bar chart

This bar chart displays the top 10 most populous countries in 2018, based on estimates from the United Nations World Population Prospects 2017. It uses a horizontal bar layout with population values on the x-axis and country names on the y-axis. The visualization is built with D3 v5, employing `scaleLinear` and `scaleBand` for scales, `axisLeft` and `axisBottom` for axes, and SVG rectangles for bars. Data is loaded from a CSV file, with population values multiplied by 1000.

Ttkreglhn

90% match

Loading thumbnail…

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries using 2018 population estimates from the United Nations’ World Population Prospects. The visualization uses D3 v5 with an SVG rendering approach, employing `d3.scaleLinear` for the value axis, `d3.scaleBand` for the categorical axis, and custom `d3.axisBottom` and `d3.axisLeft` configurations. Population values are formatted with `d3.format` to abbreviate large numbers, and axis labels are added manually via SVG text elements.

MMartin Palanca

90% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The chart employs a linear scale for the population axis and a band scale for countries. It demonstrates custom axis formatting, removing default domain lines and ticks, and adding custom labels. The visualization is rendered in an SVG canvas using D3 v5, with data loaded from a CSV file.

Vvlad

90% match