D3 Line Chart with Multiple Lines

Line Chart with Multiple Lines

This visualization displays temperature readings for multiple cities over a one-week period, with each city represented by a colored line. The chart uses D3 v5’s `scaleTime` and `scaleLinear` for axes, `line` with `curveBasis` for smooth paths, and `nest` to group data by city. A color legend, built from `scaleOrdinal` with `schemeCategory10`, identifies each line. The SVG rendering includes axis labels, a title, and grid lines. Data comes from a CSV file loaded via D3’s `csv` function, with timestamps parsed as dates.

Ssafdarawan

Line Chart with Multiple Lines

Ssafdarawan

Line Chart with Multiple Lines

This example displays a week of temperature readings for multiple cities, with each city represented by a colored line that conveys its temperature trend over time. A legend identifies the color associated with each city. The visualization uses d3.line with curveBasis for smooth paths, d3.scaleTime and d3.scaleLinear for axes, and d3.nest to group the CSV data by city. d3.scaleOrdinal with schemeCategory10 assigns colors, while custom legend and axis components are built using SVG.

ZZ-Richard

D3 Line Chart with Multiple Lines

This visualization displays temperature trends for multiple cities over time, with a color-coded line for each city and a legend identifying each series. The chart uses a time-scaled x-axis, a linear temperature axis, and a categorical color scale. Built with D3 v5, it employs `scaleTime`, `scaleLinear`, `scaleOrdinal`, and `axisBottom`/`axisLeft` to construct axes. Data is loaded from an external CSV containing city temperature readings, then nested by city using `nest()`, with lines rendered as SVG paths using `lineGenerator` and a basis curve.

CCarloGato

Line Chart with Multiple Lines

This line chart displays temperature readings from multiple cities over a week, with each city represented by a colored line and a corresponding color legend. The visualization uses d3.csv to load the dataset, d3.nest to group records by city, and d3.line with curveBasis to generate smooth paths. Axes are created with d3.axisBottom and d3.axisLeft, while the ordinal color scale uses d3.schemeCategory10. The chart renders as SVG with grid lines and a simplified custom legend.

Zzhangfa

LineChart with Multiple Lines

A multi-line chart displays a week of temperature readings across multiple cities, with each city represented by a distinct colored line and a color legend. The visualization uses D3 v5’s `scaleTime`, `scaleLinear`, `line` generator with `curveBasis`, and `nest` to group data by city, while `axisBottom` and `axisLeft` render labeled axes. Data is loaded from a CSV file, and the chart is drawn as SVG with a title and a custom color legend.

Ccornshoots

Line Chart with Multiple Lines

This line chart displays a week of temperature readings from multiple cities, with each city represented by a colored, smoothed line. The visualization uses D3 v5's `nest()` to group data by city and `scaleTime`/`scaleLinear` for axes. A custom `colorLegend` component renders the categorical color scale, while `axisBottom` and `axisLeft` include gridlines. Data comes from a CSV file loaded via `csv()`, and the SVG rendering applies a multiply blend mode to overlapping lines.

Aannadehtiarova

Line Chart with Multiple Lines

This example displays temperature readings from multiple cities over a week, with each city represented by a colored line and a corresponding legend. The chart uses d3.scaleTime, d3.scaleLinear, and d3.scaleOrdinal to map time, temperature, and city names, while d3.line with curveBasis smooths the paths. Data is loaded via d3.csv from an external dataset, and the SVG is rendered with axes, grid lines, and labels styled through CSS.

NNkwachi Abel