Making a bar chart

100%

Making a bar chart - Population Top 10

✓ Published0🌍 Public

Last edited May 17, 2023

Created on May 17, 2023

This example displays a horizontal bar chart of the top 10 countries by population, using D3 v7 to render SVG rectangles. The chart uses a linear scale for the population axis and a band scale for country names, with axis labels generated via `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. Data is loaded from a CSV file and processed by multiplying population values by 1000 before rendering, with the bar color set to steelblue via CSS.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

make a bar chart

This example displays a horizontal bar chart of population by country for the top ten most populous nations. Built with D3 v7 using a data-driven approach, it loads population figures from a local CSV file and renders SVG bars with custom scales. The code demonstrates key D3 API usage including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart layout. The bars are colored steel blue via CSS, and population values are converted from strings to numbers during data preparation.

Ddaniel

93% match

Loading thumbnail…

This horizontal bar chart displays the population of the top 10 most populous countries, using steelblue rectangles to encode each country’s population value. The chart is rendered as an SVG element using D3 v5, reading population data from a CSV file and scaling the bar lengths with a linear scale for the x-axis and a band scale for country labels on the y-axis. The code employs D3’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` functions to construct the axes, with data loaded via D3’s `csv` method.

Ppkcesar

93% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, with each bar’s length proportional to the population value. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` for tick marks. Data is loaded from a CSV file via `d3.csv` and rendered as SVG rectangles styled with a steelblue fill.

Eexistentialist1888

93% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, with population values along the x-axis and country names along the y-axis. Using D3 v5, it loads data from an external CSV file and renders SVG rectangles via `selectAll('rect').data(data).enter()`. The scales are built with `scaleLinear` and `scaleBand`, while axes are generated with `axisLeft` and `axisBottom`. Population numbers are formatted using `format('.3s')` with “B” replacing “G” for billions.

Wwukangqian

93% match

Loading thumbnail…

Making a Bar Chart

This example visualizes the top 10 most populous countries using a horizontal bar chart ordered by population. The chart displays population values on the x-axis with tick labels formatted in billions (e.g., "1.42B") and country names on the y-axis. It uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and render SVG elements programmatically. The bars are filled with steelblue, and axis lines are removed for a cleaner presentation. The data comes from `data.csv`, which is loaded asynchronously via D3’s `csv` function.

Mmerha-g-selassie

93% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the top ten most populous countries, using horizontal bars ordered by population from largest to smallest. The visualization is rendered as an SVG using D3 v5, with data loaded from a CSV file. It employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis categories, and `d3.axisLeft` and `d3.axisBottom` to generate the axes. The chart’s bars are appended via a data join, with steelblue rect elements and labeled text.

Ccheeson

92% match

Loading thumbnail…

Making a Bar Chart

This example displays a horizontal bar chart of the top 10 most populous countries, with population values formatted in billions. The chart uses D3 v5 APIs including `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to render an SVG. Data from `data.csv` is loaded and multiplied by 1000 to represent actual population counts. The visualization includes a titled axis label and removes default axis lines for a cleaner presentation.

Jjulieducasse

92% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, with country names on the y-axis and population counts on the x-axis, rendered as SVG rectangles filled with steel blue. The code uses D3 v5, specifically the `select` and `csv` APIs, to load population data from a CSV file and attach it to the chart. The static SVG container is sized 960 by 500 pixels, with rectangles styled via CSS, though the chart is currently incomplete as it only logs the loaded data to the console.

Ssarakouz

92% match