Transitions

Transitions

A stacked bar chart displays monthly stock prices for Microsoft, Amazon, and IBM from 2000 onward, with each company represented as a distinct color layer. The chart uses D3.js’s `d3.nest`, `d3.layout.stack`, and ordinal and linear scales to structure and render the data. A color legend, built with `d3.legend`, identifies each series. The SVG visualization reads from a CSV file and updates its axes and bars based on the loaded dataset.

99% match

Transitions

A stacked bar chart displays monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010. The visualization uses D3.js version 3.5.5 to create SVG elements, with a d3.layout.stack for layering data, d3.scale.ordinal for the x-axis, and d3.legend.color for the categorical color legend. Bars are grouped by date, colored by symbol, and rendered from the CSV data file.

98% match

Transitions

This visualization shows a stacked bar chart of monthly stock prices for MSFT, AMZN, and IBM from 2000 to 2010, with each layer representing a different date range. The chart uses D3.js to load data from a CSV file, nest it by date, and apply the d3.layout.stack function to create the stacked layout. The code renders the chart as SVG, using d3.svg.axis for the x and y axes, d3.scale.ordinal and d3.scale.linear for scaling, and d3.legend.color to display a color legend for the date layers.

95% match

Stack_Graph

This stacked area chart shows monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010. The chart uses D3 v4’s `d3.stack()` to compute layered series and displays them as filled areas with `d3.area()`, using a basis curve for smoothing. Colored by `d3.schemeCategory10` and rendered as SVG, it includes time and linear axes via `d3.axisBottom` and `d3.axisLeft`. Data is loaded from a CSV file and nested by symbol with `d3.nest()`.

BBarbierJeremy

Stocks - Grouped to stacked bars

This example visualizes monthly stock prices for MSFT, AMZN, and IBM from 2000 to 2010, allowing users to toggle between grouped and stacked bar charts. The grouped view shows each company’s price side-by-side, while the stacked view displays cumulative prices per month. Built with D3 v4, the visualization uses SVG for rendering and transitions to animate between the two modes. Data is loaded from a CSV file, processed with `d3.nest`, and mapped with `d3.scaleBand` and `d3.stack` to generate the bars.

JJboulery

Tp3_DV_Rendu5

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.

AAminaSGitHub

D3 Example

A grouped bar chart displays monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010, with months on the x-axis and price on the y-axis. Bars are color-coded by company using a categorical color scale, with a color legend for identification. The chart loads data from `stocks.csv` and renders with SVG, using D3.js version 3.5.5 for scales, axes, nesting, and stacking, alongside the d3-legend library to generate the color legend.

D3 Example

This visualization shows monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010, using nested selections in D3. Each company is positioned along a horizontal ordinal axis, with its price history drawn as a pie chart where each slice represents one month and its radius is scaled by the closing price. The slices are colored by date using a categorical color scale, with a legend generated by the d3-legend library. The code uses d3.csv, d3.nest, d3.layout.pie, and d3.svg.arc to structure and render the data as SVG.