DataVizTP3_AreaChart

100%

DataVizTP3_AreaChart

✓ Published0🌍 Public

Last edited Nov 29, 2017

Created on Nov 23, 2017

An area chart displays monthly closing stock prices for Microsoft, Amazon, and IBM from January 2000 through March 2010. Three semi-transparent filled regions, one per company, use color to distinguish the symbols, with a legend identifying each. Built with D3 v4 and rendered as SVG, the code uses `d3.area` and `d3.line` with basis curves, `d3.nest` to group the CSV data by symbol, and `d3.timeParse` for date handling. The y-axis is scaled to the maximum price across all series.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/romsson/'>romsson</a>'s block: <a href='http://bl.ocks.org/romsson/855207ac5fb5c170de59b9c69ea56012'>simple line chart from dataset</a>

mit Licensed

Similar vizzes

Loading thumbnail…

TP3_DataViz_Area

This visualization displays monthly stock prices for Microsoft, Amazon, and IBM from 2000 to 2010 using overlapping area charts and line paths. The code nests the CSV data by symbol, parses dates with `d3.timeParse`, and scales time and price with `d3.scaleTime` and `d3.scaleLinear`. It renders semi-transparent filled areas and stroked lines using `d3.area` with a basis curve, then adds axes via `d3.axisBottom` and `d3.axisLeft`, plus a color-coded legend based on `d3.scaleOrdinal`.

EElisaDnr

91% match

Loading thumbnail…

TP3 area chart

A small multiples area chart visualizes monthly closing prices for Microsoft, Amazon, and IBM from January 2000 through March 2010, with each symbol’s time series drawn as a filled steelblue region. The D3 v4 code uses `d3.text`, `d3.dsvFormat`, `d3.nest`, `d3.scaleTime`, `d3.scaleLinear`, `d3.curveBasis`, and `d3.axisBottom`/`d3.axisLeft` to parse the CSV, group by symbol, and render the SVG paths. A categorical color legend labels each stock.

LLRobergeon

91% match

Loading thumbnail…

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

88% match

Loading thumbnail…

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.

AAminaSGitHub

88% match

Loading thumbnail…

Area_Chart

This area chart compares monthly stock prices for MSFT, AMZN, and IBM from 2000 to 2010. It displays both filled areas and overlaid lines per symbol, using color to distinguish each company. The visualization is rendered with SVG, and the code uses d3.nest, d3.line, and d3.area with basis curves, plus d3.scaleTime and d3.scaleLinear for axes. Data is loaded from a CSV file and parsed with d3.dsvFormat.

BBarbierJeremy

87% match

Loading thumbnail…

TP3_v3.11

This visualization compares monthly stock price trends for Microsoft, Amazon, and IBM using layered area charts. It presents the data in three distinct modes: separated, stacked, and centered displays, allowing viewers to compare price movements across companies. The D3.js v4 code loads data from a CSV file, parses dates with `d3.timeParse`, and renders the areas as SVG paths using `d3.area` with basis curve interpolation. Animated transitions would cycle through the different display modes, though the visible code primarily sets up the static chart structures.

GGaret005

87% match

Loading thumbnail…

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.

AAminaSGitHub

87% match

Loading thumbnail…

DataVizTP3_SmallMultiple

The visualization displays monthly stock price trends for Microsoft, Amazon, and IBM as small multiples, with each company shown in its own mini chart panel. The code uses D3 v4 with SVG rendering, employing `d3.nest()`, `d3.csvParse`, and `d3.area()` with `d3.curveBasis`. Each panel applies its own y-domain scaled to the company’s maximum price, showing colored area and line paths. Axes are drawn using `d3.axisBottom` and `d3.axisLeft`, with data sourced from a local CSV file.

KKylaste

86% match