Line Chart with Multiple Lines

Line chart with multiple lines

A line chart displays a week of temperature readings across multiple cities, with each city represented by a distinct colored line and a corresponding color legend. The visualization uses d3.nest to group data by city, d3.line with curveBasis for smooth paths, and d3.scaleOrdinal with schemeCategory10 for color mapping. Data comes from a CSV file loaded via d3.csv, rendered as SVG with axes from d3.axisLeft and d3.axisBottom.

MMauradion

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

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 line chart displays one week of temperature data for multiple cities, with each city represented by a colored line and a corresponding color legend. The visualization uses d3.scaleTime, d3.scaleLinear, and d3.scaleOrdinal to map time, temperature, and city names, while d3.line with curveBasis generates the smoothed paths. Data is nested by city using d3.nest and sorted by final value. The chart includes labeled axes and a title, rendered as SVG with elements created via d3 selections.

BBhojarajHG

Line chart with multiple lines

This line chart displays one week of temperature data from multiple cities, with each city represented by a distinct colored line from the d3 schemeCategory10 scale. The visualization uses d3.scaleTime and d3.scaleLinear for axes, d3.line with curveBasis for smooth paths, and d3.nest to group measurements by city. A custom colorLegend function renders the categorical color keys, while d3.axisLeft and d3.axisBottom create labeled axes with gridlines. Data comes from the Data Canvas - Sense Your City dataset, loaded via d3.csv and rendered as SVG elements.

TThomas Seberechts

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 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 line chart displays one week of temperature readings in degrees Celsius across multiple cities, with each city represented by a distinct colored line. The chart uses d3.line with curveBasis for smooth curves, d3.scaleTime for the time axis, d3.scaleLinear for temperature, and d3.scaleOrdinal with schemeCategory10 for city colors. Data is loaded via d3.csv from the Data Canvas - Sense Your City dataset, parsed into timestamp and temperature values, then nested by city using d3.nest. A custom colorLegend module renders the legend, while the chart includes axis labels, gridlines, and a title.

AAziz Jaffrey