Bar Chart

Bar Chart

This bar chart visualizes population data for various countries, with each bar’s height representing a country’s population in billions. The graphic renders as an SVG using React, with D3 v5’s `d3.scaleBand` and `d3.scaleLinear` for positioning, and `d3.axisBottom` and `d3.axisLeft` for labeled grid lines. Data is loaded from a CSV file and transformed by multiplying values by 1000. The chart includes a flipped y-axis transform to draw bars upward, with steelblue styling and a light background.

94% match

Bar Chart

This bar chart displays population estimates for a set of countries, with vertical bars sized proportionally to each value. The visualization loads data from a CSV file, parsing and scaling the population numbers before rendering. Built with React and D3 v5, the chart uses `d3.scaleBand` for the x-axis categories and `d3.scaleLinear` for the y-axis, while `d3.axisBottom` and `d3.axisLeft` generate gridlines. The SVG rendering includes a flipped coordinate system to draw bars upward, with steelblue fills styled via CSS.

93% match

Bar Chart

This bar chart displays population values for a set of countries, with horizontal gridlines and labeled axes. The chart renders as an SVG using D3 v5 within a React-styled HTML page. It loads data from a CSV file, scales the Y-axis using `d3.scaleLinear` and the X-axis with `d3.scaleBand`, and draws bars via `d3.axisBottom` and `d3.axisLeft` for gridlines and tick formatting.

93% match

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.

92% match

Bar chart

This example shows a horizontal bar chart of population values across five countries, with a y-axis for country names and an x-axis for numeric population. The chart loads data from a local CSV file using `d3.csv` and renders SVG rectangles scaled with `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis. Axes are generated via `d3.axisLeft` and `d3.axisBottom`. The bars are styled with steelblue fills via CSS, and margins contain the plot area within an 960×500 SVG.

MMatan

Bar data visulization

This example shows a horizontal bar chart comparing population figures across six countries, with each bar’s length proportional to its population value. The visualization uses React with D3 v6, rendering SVG elements via d3.select, d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom. The code loads data from a CSV file, multiplies population values by 1,000, then maps countries to the y-axis and scaled populations to the x-axis, with steelblue rectangles and axis labels.

Ffaqihisaninja

Bar Chart

A bar chart displays population figures for ten countries, with horizontal bars representing each nation's total population in thousands. The visualization uses a linear scale for the population axis and a band scale for country names, with steel blue bars rendered as SVG rectangles. Built with D3.js version 5, the code employs `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart from a CSV dataset.

DDD

Bar Chart

DDD