[animated charts] stocks from dataset

areaChart

This example shows monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010, displayed as small multiple area charts. The visualization initially draws simple line paths, then animates a transition into horizon charts, where each series is stacked vertically with an offset baseline. The code uses D3 v3 with SVG rendering, employing `d3.svg.line` and `d3.svg.area` generators, `d3.nest` to group data by symbol, and `d3.time.scale` for the date axis. Data comes from a CSV file with a `symbol,date,price` structure.

88% match

loading multiple stock data from dataset

This example shows monthly stock prices for Microsoft, Amazon, and IBM from a CSV dataset. It draws multi-series line charts in SVG, then transitions each series into a stacked area chart with a smooth animation. The code uses d3.nest to group data by symbol, d3.line and d3.area for geometry, and d3.transition with a delay to sequence the morphing effect. Colors are assigned via d3.scaleOrdinal with d3.schemeCategory10.

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[animated charts] stocks from dataset

This animated chart tracks monthly stock prices for Microsoft and Amazon from January 2000 through March 2010, using D3 v4 to render and animate lines. Drawn with SVG, the visualization smoothly transitions between data points over time, showing each stock's price fluctuations across the decade. The animation reveals how both stocks decline in the early 2000s, with Amazon’s drop to under $6 in late 2001 contrasting sharply with its later recovery to over $60 by 2010, while Microsoft’s price remains comparatively stable throughout.

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streamGraphStep4

The visualization animates the monthly stock prices of Microsoft, Amazon, and IBM from 2000 to 2010 as a streamgraph. It begins with each stock plotted as a separate line, then transitions into layered, stacked areas that overlap to show cumulative price trends. The code uses `d3.svg.line`, `d3.svg.area`, and `d3.scale.linear` to render the paths, with `d3.timer` driving the animation and `d3.select` manipulating SVG elements. The y-axis domain adjusts per symbol initially, then scales to the maximum price across all stocks.

etape2

The visualization displays monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010, with each company’s price series separated into its own horizontal band. Animated SVG line charts draw progressively over time, while filled areas underneath each line use color to distinguish the symbols. The code uses d3.csv, d3.nest, d3.svg.line, d3.svg.area, and d3.timer to parse the data, group by symbol, and animate the rendering.

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etape3

This example shows monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010 as animated, stacked area charts. Each symbol is rendered in its own horizontal band, with a dark line tracing the price over time. The code uses d3.csv to load data, d3.nest to group by symbol, and d3.svg.area and d3.svg.line with basis interpolation to draw the shapes. A d3.timer drives the sequential reveal of data points, while d3.layout.stack computes the stacked offsets.

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85% match

StackedAreaChartStep3

This example animates a stacked area chart showing monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010. The visualization first draws individual price lines by symbol, then transitions to layered areas that stack cumulatively using the `d3.layout.stack` API. It utilizes D3 v3 with SVG rendering and a `d3.timer` for animation, while color-coded areas represent each company. The data comes from a CSV file parsed with `d3.csv` and date formatting via `d3.time.format`.

85% match

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This visualization compares the monthly stock prices of Microsoft, Amazon, and IBM from 2000 to 2010, showing both individual time series and a stacked area chart. The animation transitions through three views: individual line charts, horizon-style areas for each symbol, and finally a stacked layout. The code uses D3 v3 with SVG rendering, employing d3.svg.line, d3.svg.area, and d3.layout.stack for the layouts, while d3.time.scale handles the date axis. Data comes from a CSV file grouped by stock symbol via d3.nest.