Fork of Making a Bar Chart

Fork of Making a Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, using year 2018 estimates from the United Nations World Population Prospects. Population values are multiplied by 1000 and encoded as bar widths via `d3.scaleLinear`, while country names are placed on a `d3.scaleBand` y-axis. The chart customizes D3 axes by removing domain lines, adding tick marks, and formatting tick labels to abbreviate large numbers (e.g., “1.4B”). Data is loaded from a CSV using `d3.csv`, and the SVG is rendered with D3 v5 selections.

MMatthew Rinaldi

Fork of Making a Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, using population estimates from the 2018 United Nations World Population Prospects data. The chart emphasizes population size through bar length, with a formatted x-axis that abbreviates large numbers using the `d3.format` API. Built with D3 v5, it leverages `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, and D3’s axis components (`d3.axisLeft`, `d3.axisBottom`) to render SVG bars and gridlines. The visualization also customizes axis ticks and removes default domain lines for a cleaner presentation.

RRohit-2710

Fork of Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart uses D3 v5 with an SVG rendering, scaling population values via `d3.scaleLinear` and country names via `d3.scaleBand`. It customizes the axes with `d3.axisLeft` and `d3.axisBottom`, applies a `.3s` tick format that replaces “G” with “B”, and removes default axis domain lines. The data is loaded from a CSV file using `d3.csv`.

CCristina Macaraig

Fork of 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 2017. The chart customizes D3 axes by removing domain lines and tick lines, and formats tick labels with `d3.format` to abbreviate values (e.g., “B” for billions). It uses `d3.csv` to load data, `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and renders SVG rectangles. The chart is rotated 270 degrees via CSS.

Ssumitmishra9826

Fork of Making a Bar Chart

This example visualizes the top 10 most populous countries in 2018, using horizontal bars to compare population estimates from the United Nations World Population Prospects. It demonstrates how to customize D3 axes, removing unnecessary lines and formatting tick labels. The chart is built with D3 v5, using `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisBottom` and `axisLeft` to render the axes. Population values are loaded from a CSV file and multiplied by 1,000. The final visualization is rendered as inline SVG, with styled bars and a title.

SSander Rebane

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects 2017 in the data.csv file. It customizes D3 v5 axes by removing domain lines and tick lines from the y-axis, formatting population values with tick formatting that converts G to B, and adding axis labels and a title. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to render axes in SVG.

PPriyansh Ramnani

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries, using 2018 population estimates from the United Nations’ World Population Prospects 2017. The data is loaded from a CSV file and rendered as SVG rectangles. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the axes, with custom tick formatting that abbreviates large numbers. A title and axis label are also included, and the chart demonstrates customization of D3 axes by removing default domain lines.

WWilliam He

Fork of Making a Bar Chart

This chart displays the top 10 most populous countries using vertical bars, with population values from the 2018 estimate in United Nations: World Population Prospects 2017. It uses D3 v5's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render an SVG bar chart, with custom tick formatting that converts billions to abbreviated labels. The chart demonstrates axis customization by removing gridlines and domain paths, and labels the x-axis "Population." Data is loaded from a CSV file and processed by multiplying population values by 1000.

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