Shapes and Colors with SVG and CSS

Shapes and Colors with SVG and CSS

This visualization displays the number of months requested per industry category using horizontal bars, with each bar’s length mapped to the numeric month value from the loaded CSV dataset. The code uses d3.csv to parse data.csv, d3.scaleLinear for the x-axis, d3.scaleBand with padding for the y-axis, and d3.axisBottom and d3.axisLeft to render axes. Rects are appended to an SVG group, styled with a steelblue fill via CSS, while the axis domain lines and ticks for the y-axis are explicitly removed.

KKateryna

85% match

Shapes and Colors with SVG and CSS

This example shows a horizontal bar chart of population data for ten countries, using SVG rectangles rendered with D3 v5. The visualization scales bar lengths with `d3.scaleLinear` and spaces categories using `d3.scaleBand`, while `d3.axisBottom` and `d3.axisLeft` provide labeled axes. CSS styles the bars in pink, and the code reads from a CSV file, formats tick labels with `d3.format`, and logs clicked elements to the console.

79% match

Shapes and Colors with SVG and CSS

This example demonstrates an interactive scatter plot where users can dynamically select which data columns to display on the x- and y-axes using dropdown menus. It visualizes relationships between numeric attributes like horsepower, weight, and acceleration. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` for scales and axes. Circles transition smoothly to new positions over one second using chained `transition` and `delay` methods when axes change, with data loaded from a CSV file containing automotive specifications.

Shapes and Colors with SVG and CSS

This example visualizes temperature over time using a smooth line chart, with SVG shape styling handled through CSS classes for the line path and axes. The data, loaded from a CSV file via `d3.csv`, is parsed into JavaScript Date and numeric values. The visualization uses `d3.scaleTime` and `d3.scaleLinear` to map data to pixel coordinates, while `d3.line` with `curveBasis` generates the curved path. Axes are rendered with `d3.axisBottom` and `d3.axisLeft`, and grid lines are created by setting tick sizes to the chart’s inner dimensions.

Shapes and Colors with SVG and CSS

This example shows a horizontal bar chart of country populations using SVG shapes styled with CSS. The bars are drawn as `rect` elements with a pink fill, and the chart includes axes rendered via D3’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`. Population values from a CSV file are loaded with `csv()` and scaled against the chart’s width, while `selectAll` and data joins append the rectangles. The code relies on D3 v5 and SVG, with CSS controlling font size and rectangle color.

Shapes and Colors with SVG and CSS

Shapes and Colors with SVG and CSS

This example visualizes temperature over time using a line chart, with data pulled from a CSV file containing timestamps and temperature readings. The SVG rendering is built with D3 v5, employing `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and a `line` generator with `curveBasis` for smooth interpolation. CSS styles define the line’s color, stroke width, and fill, while the axes are enhanced with tick marks and a custom label. The visualization demonstrates how SVG elements and D3 scales work together with stylesheets to present time-series data interactively.

Ssgroko

Shapes and Colors with SVG and CSS

This example shows world population growth from 1950 to 2015 using a smooth area chart, with the area filled in steelblue and an orange stroke. Built with D3 v5, the visualization employs `scaleTime`, `scaleLinear`, `d3.area` with `curveBasis`, and `axisBottom`/`axisLeft` for axes, all rendered as SVG. CSS styles the path and text, while data comes from a CSV file parsed with `d3.csv`.