Line Chart with Multiple Lines

Line Chart with Multiple Lines

This line chart displays one week of temperature data for cities worldwide, sourced from Data Canvas - Sense Your City. The visualization uses d3.csv to load the data, d3.scaleTime and d3.scaleLinear for axes, and d3.line with curveBasis to render smooth, semi-transparent temperature trends per city. Colors are assigned via d3.scaleOrdinal with schemeCategory10, and a custom colorLegend module generates the interactive legend. d3.nest groups measurements by city, while axis labels and a title are added as SVG text elements.

Bbattlescarredshogun

Line Chart with Multiple Lines

This line chart displays a week of temperature readings from multiple cities around the world, with each city represented by a distinct colored line plotted over time. The visualization uses D3 v6 with SVG rendering, employing `d3.scaleTime`, `d3.scaleLinear`, `d3.line` with `curveBasis`, and `d3.nest` to group data by city. A color legend built with `d3.scaleOrdinal` and `schemeCategory10` identifies each line. The data comes from a CSV file loaded via `d3.csv` and rendered with custom axes, grid lines, and a title.

EEllednera

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

Line Chart with Multiple Lines

This line chart shows one week of temperature readings in cities worldwide, sourced from Data Canvas - Sense Your City. It plots temperature over time for multiple cities, with each city assigned a unique color from the d3.schemeCategory10 palette and a legend generated via a custom colorLegend component. The visualization uses d3.scaleTime, d3.scaleLinear, d3.scaleOrdinal, d3.axisLeft, d3.axisBottom, and d3.line with curveBasis for smooth curves. Data is loaded via d3.csv, parsed with timestamps converted to Date objects, and rendered as SVG paths with mix-blend-mode styling.

AAegon95

Line Chart with Multiple Lines

This line chart displays one week of temperature data across multiple cities worldwide, with each city represented by a distinct colored line plotted over time. The visualization uses d3.scaleTime and d3.scaleLinear to map timestamps and temperature values, while d3.line with curveBasis generates the smoothed paths. A nested data structure organizes measurements by city, and a custom colorLegend component renders the categorical scale using d3.scaleOrdinal with schemeCategory10. The chart includes gridlines, axis labels, and a title, with data loaded from a CSV file.

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

Line chart with Multiple Lines

This example visualizes a week of temperature readings from multiple cities around the world as a multi-line chart. The visualization uses D3 v5 to render SVG paths, with color distinguishing each city via a categorical color scale. Temperature data is loaded from a CSV, and axes are drawn using D3’s `axisLeft` and `axisBottom` functions. A legend, built with a custom `colorLegend` module, maps each color to its city. The lines use a basis curve and a multiply blend mode to handle overlapping strokes.

YYedrup

Line Chart with Multiple Lines

This line chart displays one week of temperature data from multiple cities worldwide, with each city represented by a distinct colored line and a corresponding color legend. The visualization uses D3 v5 APIs including `scaleTime`, `scaleLinear`, `scaleOrdinal`, `line()` with `curveBasis`, and `nest()` to group measurements by city. The SVG rendering features gridlines, axis labels, and a title, with the data sourced from Data Canvas - Sense Your City and loaded as CSV. Lines are sorted by their final temperature value for comparison.

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