StackedAreaChartStep3

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.

89% match

DataVizTP3_StackedArea

This stacked area chart visualizes monthly stock prices for multiple companies (MSFT, AMZN, IBM, AAPL) from 2000 to 2010, using a dataset loaded from a CSV file. The chart shows how each company’s price contributes to the total across time, with colored layers and a legend identifying each symbol. Built with D3 v4, it uses `d3.stack()`, `d3.area()`, and `d3.nest()` to structure the data, while `d3.scaleTime()`, `d3.scaleLinear()`, and `d3.scaleOrdinal()` handle scaling and colors. SVG paths render the areas, and axes are added with `d3.axisBottom()` and `d3.axisLeft()`.

KKylaste

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

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.

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.

step1

This example shows a small-multiple time series chart tracking the monthly stock prices of Microsoft, Amazon, and IBM from 2000 to 2010. Three small line charts, one per company, are stacked vertically, each scaled to its own maximum price. The visualization uses D3 v3’s `d3.time.scale` for the date axis and `d3.scale.linear` for price, with `d3.svg.area` for filling under the lines and `d3.nest` to group the data by company. The data comes from a CSV file with symbol, date, and price columns.

87% match

Tp3_DV_Rendu3

This interactive visualization displays the historical stock prices of Microsoft, Amazon, and IBM from January 2000 to March 2010. It uses a combination of individual line charts and a stacked area chart to compare the price trends and relative magnitudes across the three companies. The visualization is rendered as an SVG using D3 version 3, with animated transitions that convert between the line and stacked area representations. The code leverages D3’s time and linear scales, category color palette, and layout stack API to process and display the data from the provided CSV file.

84% match

Tp3_DV_Rendu4

This visualization shows monthly stock prices for MSFT, AMZN, and IBM from 2000 to 2010, using layered area charts to compare trends across companies. Each symbol is displayed in its own horizontal band, with semi-transparent filled areas colored by company. The code uses D3 v3’s `d3.svg.area()`, `d3.svg.line()`, and `d3.time.scale()` to draw the SVG paths, while `d3.nest()` groups the CSV data by symbol. The chart sorts symbols by maximum price and applies basis interpolation for smooth curves.