Multi-line graph 2 with v6: Colours

Multi-line graph 2 with v7: Colours

This chart displays monthly stock prices for three companies (MSFT, AMZN, IBM) from 2000 to 2010, using multiple colored lines to represent each symbol. The visualization uses D3.js v7 to read a CSV file, parse dates with `d3.timeParse`, and group data by symbol using `d3.group`. Lines are drawn with `d3.line` and colored via `d3.scaleOrdinal` with the `schemeCategory10` palette. The graph includes time-series axes created with `d3.axisBottom` and `d3.axisLeft`, rendering everything as SVG elements.

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Multi-line graph 1 with v6: Lines

This visualization shows monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010 as a multi-line graph. Using D3 v6, it loads CSV data and groups the entries by company symbol with `d3.group` to draw each series as a separate SVG path. The chart employs `d3.scaleTime`, `d3.scaleLinear`, and `d3.line` for axes and line generation, with `d3.extent` fixing the domain. Axis rendering uses `d3.axisBottom` and `d3.axisLeft`.

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Multi-line graph 2 with v5: Colours

This example displays monthly stock prices for Microsoft, Amazon, and IBM as a multi-line graph, with each line assigned a distinct color from the d3.schemeCategory10 scale. The code uses d3.csv to load the data, d3.nest to group entries by symbol, and d3.line with d3.scaleTime and d3.scaleLinear to render the paths. The SVG canvas is built with D3 v5, and axes are added via d3.axisBottom and d3.axisLeft. It is the second in a series demonstrating multi-line graph techniques.

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Multi-line graph 2 with v4: Colours

A multi-line graph displays stock prices over time for Microsoft, Amazon, and IBM, with each company’s series drawn in a distinct color from a categorical palette. The visualization uses the D3 v4 library, parsing dates with `d3.timeParse` and rendering lines as SVG paths via `d3.line`. Data is loaded from a CSV file, grouped by symbol with `d3.nest`, and colored using `d3.scaleOrdinal` with the `d3.schemeCategory10` palette. The chart includes a time-based x-axis and linear y-axis, with the line colors assigned dynamically to distinguish each stock series.

94% match

Multi-line graph 3 with v7: Legend

This multi-line graph shows monthly stock price changes for Microsoft, Amazon, and IBM from 2000 to 2010, with a categorical legend labeling each company’s colored line. Using d3.v7, the code parses dates with `d3.timeParse`, groups the CSV data by symbol via `d3.group`, and applies a `d3.scaleOrdinal` color scheme. Each path is drawn with `d3.line` and `d3.scaleTime` and `d3.scaleLinear` axes, while legend text is positioned evenly along the bottom using computed spacing.

Multi-line graph 1 with v7: Lines

This multi-line graph displays monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010, with each company represented by a separate line. The visualization uses D3 v7’s `d3.group` function to nest data by symbol, then draws each line using the `d3.line` path generator. Data is loaded from a CSV file via `d3.csv`, with dates parsed using `d3.timeParse` and scales set with `d3.scaleTime` and `d3.scaleLinear`. Axes are rendered as SVG elements using `d3.axisBottom` and `d3.axisLeft`.

Multi-line graph 2: Colours

This multi-line graph displays stock price changes over time for Microsoft, Amazon, and IBM, with each line distinguished by a unique color. The visualization uses the D3.js library (version 3.5) to parse CSV data, scale time and price ranges, and render SVG paths. It applies a categorical color scale via `d3.scale.category10` and assigns colors dynamically to each symbol group from the nested data. The example focuses solely on demonstrating color differentiation among multiple lines, without legends or interactive toggling.

Multi-line graph 3 with v5: Legend

This interactive multi-line chart displays monthly stock prices for Microsoft, Amazon, and IBM from January 2000 to March 2010, with each series distinguished by a color from the Category 10 palette. Built with d3.v5, it renders lines as SVG paths and includes a legend beneath the plot, where each company name is color-coded to match its line. The dataset, sourced from Mike Bostock’s small multiples example, is grouped by symbol using d3.nest(), with scales defined by d3.scaleTime and d3.scaleLinear for the axes.