Making a bar chart!

Making a bar chart

A bar chart displays population figures for ten countries, with horizontal bars sorted by country name. The visualization loads data from a CSV file and renders it as SVG rectangles using D3 v5. It uses `d3.scaleLinear` for the population axis, `d3.scaleBand` for country categories, and `d3.axisLeft` and `d3.axisBottom` for labeled axes. Bar heights and widths derive from the dataset, with a steelblue fill applied via CSS.

Vvladvaculin

Let's make a bar chart!

A horizontal bar chart displays population figures for ten countries, using bar length to represent population in thousands. Built with D3 v5, the visualization loads CSV data via `d3.csv` and applies `d3.scaleLinear` for the x-axis and `d3.scaleBand` for categorical y-axis spacing. SVG rectangles are appended and positioned through D3 data joins, with margins calculated from the SVG's width and height attributes. The code demonstrates fundamental scale and selection patterns for basic bar chart construction.

CChromosin13

Makeing a bar chart!

This bar chart displays population figures for ten countries, sourced from a CSV file. Each rectangle’s width corresponds to the population value, scaled linearly, while the y-axis uses a band scale for country names. Built with D3 v5, the code uses `scaleLinear`, `scaleBand`, `select`, and `csv` to load data and render SVG rectangles.

VVincent Ko

Making a Bar Chart

This bar chart displays the populations of ten countries, scaled from a CSV dataset. It uses D3 v5’s `scaleLinear` and `scaleBand` to map population values to bar widths and country names to vertical bands, with `axisLeft` and `axisBottom` generating the axes. Bars are rendered as SVG rectangles, with data loaded via `d3.csv` and population values multiplied by 1000 to reflect thousands.

Nnick-yadav

Create bar chart!

A bar chart displays population figures for ten countries, with bar length proportional to population and each bar labeled by country name. The visualization uses D3 v5’s `scaleLinear` for the x-axis population scale and `scaleBand` for the categorical y-axis country bands. Data is loaded from a CSV file via D3’s `csv` function, with population values parsed and multiplied by 1000. The SVG rendering appends rectangles directly to the canvas, using the scales to set each bar’s width and height based on the data.

Sssd4

Making a Bar Chart

A horizontal bar chart displays the population of ten countries, sorted by country name. The visualization uses D3 v5 APIs including `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Data is loaded from a CSV file, with population values multiplied by 1000. The chart is rendered as SVG with steel blue bars and axis labels, using a fixed layout with specified margins.

RRenato Francia Castillo

Making a Bar Chart

A horizontal bar chart displays population counts for ten countries. The chart renders as an SVG and uses D3 v5's `scaleLinear` for the x-axis and `scaleBand` for the y-axis, mapping each country to a rectangle. Data loads from a CSV file via `d3.csv`, with population values multiplied by 1,000 during preprocessing. Bars fill the full width, with no labels or axes visible.

HHarish M A

Making a bar chart

This example shows a horizontal bar chart of population data for ten countries, with each bar’s length proportional to the population value. The chart uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft` and `axisBottom` for tick marks. Data is loaded from a CSV file via `d3.csv`, with population values converted from thousands. Bars are rendered as SVG `rect` elements, styled with steelblue fill, within an SVG canvas.

BbeauMarko