Skip to main content
SimilarExport ZIP
100%

Making a Bar Chart

✓ Published0🌍 Public
CChelsea Doeleman
Last edited Nov 11, 2020
Created on Nov 11, 2020
Forked from Making a Bar Chart

This bar chart visualizes the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. It demonstrates customization of D3 axes, using `d3.scaleLinear` for the x-axis and `d3.scaleBand` for categorical country labels. The SVG rendering approach draws rectangles with steelblue fill, while axes are generated via `d3.axisLeft` and `d3.axisBottom`. The chart is built with D3 v5 and includes a tutorial video for reference.

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. It also demonstrates customization of D3 axes.

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 2017. It demonstrates customized D3 v5 axes and a linear scale for population values, with a band scale for country names. The code imports specific APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and formats tick labels using `format('.3s')`. Data is loaded from a CSV file and rendered as SVG rectangles with a steelblue fill.

Zzilvus
95% 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. The chart employs D3’s `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, with custom axis tick formatting that converts values to billions. Axes are styled by removing domain lines and tick marks, while a title and axis label are added as SVG text. Data is loaded from a CSV file and rendered as steelblue rectangles.

MMircea-Stefan Mohora
95% match
Loading thumbnail…

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
95% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to position bars and render axes. Axes are customized with tick removal and abbreviated population labels via `format('.3s')`. The data is loaded as CSV and rendered as SVG rectangles with a steelblue fill.

JJunhao CHen
95% match
Loading thumbnail…

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
95% match
Loading thumbnail…

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
95% 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. 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
95% 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. It demonstrates axis customization in D3 v5, using `d3.scaleLinear` and `d3.scaleBand` for scales, along with `d3.axisBottom` and `d3.axisLeft` for axes. The chart is rendered as an SVG, with a custom tick formatter converting values to billions and grid lines extending across the plot.

孙孙华
95% match