Making a Bar Chart 4

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

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 with an SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Data is loaded from a CSV file and multiplied by 1000 to represent actual population counts. The chart includes axes generated by `axisLeft` and `axisBottom`, with black rectangles representing each country’s population.

BBaodi

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 to load data from a CSV file and render SVG bars, with a linear scale for population and a band scale for country names. Custom D3 axes are configured with a tick formatter that abbreviates values (e.g., using "B" for billions), while the chart includes a title and an x-axis label.

SStephen

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’s `scaleLinear` and `scaleBand` to map populations and country names to the SVG canvas, with axes drawn via `axisLeft` and `axisBottom`. The chart’s bars are rendered as SVG rectangles, styled with CSS. Population values are loaded from a local CSV file and multiplied by 1,000 before rendering.

CCL

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 SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis. The code customizes axes with `axisLeft` and `axisBottom`, and loads data from a CSV file via `csv`. Each bar’s width is proportional to population, with values multiplied by 1000 in the data preprocessing step.

Ssalwdata

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 shows a horizontal bar for each country, with a linear x-axis for population and a banded y-axis for countries, both customized by removing grid lines and domain paths. The visualization is built with D3 v5, using `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and it renders as SVG. Data is loaded from a CSV file and formatted with the `format` function, replacing 'G' with 'B' for billion-scale tick labels.

Mmarissaverdonck

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

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 with SVG rendering, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis. Customized axes are created with `d3.axisLeft` and `d3.axisBottom`, where tick labels are formatted to show population in billions and the x-axis includes negative tick lines. The code loads data from a CSV using `d3.csv`, parses population values, and appends rectangles plus axis labels dynamically.

VVinh H. Le