Bar Chart

Bar Chart

A bar chart displays population values for five countries, with each bar’s height corresponding to its data point. The visualization uses an SVG canvas with axes that include horizontal and vertical gridlines. The code employs D3 v5’s `scaleBand` for the x-axis, `scaleLinear` for the y-axis, and `d3.axisBottom`/`d3.axisLeft` to render ticks. Data is loaded from a CSV file, formatted with thousands separators, and drawn as steelblue rectangles.

Ssalwdata

Making a Bar Chart

This bar chart displays population estimates for five countries, with horizontal bars sorted by country name and scaled proportionally to population values loaded from a CSV file. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map data to SVG rectangles, while the `csv` method parses the data and converts population strings to numbers. The chart populates a static SVG canvas with a steelblue fill and clear axis labels.

BBatkhongor Chagnaa

Bar Chart.js

This bar chart displays the populations of five countries, using horizontal bars to compare values. It loads data from a CSV file and renders with D3 v5, using `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. The SVG is sized via attributes, and margins define an inner plotting area. Axis ticks are formatted with `d3.format`, and the chart includes a title and axis label. The bars are filled with steelblue, and grid lines are drawn using a negative tick size.

Dddperdue

Making a Bar chart

This bar chart displays the population of five countries, sorted vertically by country name, with horizontal bars representing each population value. The visualization uses React with D3 v5, loading data from a CSV file and rendering SVG elements. The code employs D3 scales, including `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, alongside `axisLeft` and `axisBottom` to generate the axes. Population values are multiplied by 1000 during data preprocessing before being mapped to bar widths.

Ggoshashi

Make a bar chart

A horizontal bar chart displays the population of five countries, using steel-blue rectangles to encode values from a CSV file. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft` and `axisBottom` to render ticks. Data is loaded via `csv`, with population numbers converted from thousands, and the SVG is appended to a 960x500 viewport.

PPulkit Rohilla

Bar Chart

This bar chart displays the populations of five countries, with China and India leading by a wide margin. The visualization uses D3 v5 within a React framework, rendering SVG elements. Population values are read from a CSV file and scaled using `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Axes are generated with `axisBottom` and `axisLeft`, while the chart applies a custom tick format to abbreviate large numbers.

TThamjith Thaha

Making a Bar Chart

A bar chart displays population data for five countries using horizontal bars. The example builds the chart through D3.js version 5, using `d3.csv` to load the data, `d3.scaleLinear` for the x-axis, and `d3.scaleBand` with padding for the y-axis categories. Rectangles are appended to an SVG element, with bar widths proportional to each country's population. The code marks a basic introduction to D3's data-binding and scale functions.

DDaniel Hug

Make a bar chart

This bar chart displays the population of the top five countries from a CSV file, using horizontal bars scaled linearly to population values. The chart renders in SVG and employs d3.csv, d3.scaleBand, d3.scaleLinear, d3.axisLeft, and d3.axisBottom. The y-axis labels show country names, while the x-axis uses tick formatting to abbreviate numbers (e.g., "1.42B"). Axis lines and domain paths are removed, and custom text elements label the chart and axis.

PPulkit Rohilla