Trapezoid Charts 2 with Total

100%

Trapezoid Charts 2 with Total

✓ Published0🌍 Public

Last edited Mar 11, 2016

Created on Mar 11, 2016

This interactive D3.js (v3) visualization displays yearly data as animated trapezoid charts, where each shape compares prior, actual, and expected values. Users can randomize the underlying data or toggle between showing raw values or variance-only (actual minus expected) through on-screen buttons. The SVG-rendered chart includes dashed total variance lines and axis outlines, with transitions smoothly animating shape changes via `d3.svg.line` interpolation and ordinal/linear scales. The block builds on SpaceActuary's earlier trapezoid chart variations, using random data generated in the browser.

AI-generated description

forked from <a href='http://bl.ocks.org/SpaceActuary/'>SpaceActuary</a>'s block: <a href='http://bl.ocks.org/SpaceActuary/29c2c89bcdf66c2553c2'>Bar Chart Transitions - Positive to Negative</a>

forked from <a href='http://bl.ocks.org/SpaceActuary/'>SpaceActuary</a>'s block: <a href='http://bl.ocks.org/SpaceActuary/4c0c9844596a2d00938a'>Trapezoid Charts</a>

forked from <a href='http://bl.ocks.org/SpaceActuary/'>SpaceActuary</a>'s block: <a href='http://bl.ocks.org/SpaceActuary/54181ad2cb45d7e41ac8'>Trapezoid Charts 2</a>

Similar vizzes

Loading thumbnail…

Trapezoid Charts 2

This example displays a trapezoid chart that visualizes year-over-year comparisons of prior, actual, and expected values. Users can randomize the underlying data or toggle between showing raw values and variance-only differences from the expected baseline. The visualization uses D3.js v3 with SVG paths to draw trapezoids with linear interpolation, transitioning smoothly over 1000 milliseconds via D3’s transition method. Axis scales are ordinal for years and linear for values, adapting their domains based on the toggle state.

SSpaceActuary

92% match

Loading thumbnail…

Trapezoid Charts

This example shows a group of trapezoid-shaped bar charts representing yearly data across three values: prior, actual, and expected. A button triggers a randomize function that regenerates the data and animates the transitions over one second. Each trapezoid’s fill color changes to crimson or seagreen depending on whether the actual value exceeds the expected value. The visualization uses d3.v3 with SVG paths, a linear scale for the y-axis, an ordinal scale for the x-axis, and d3.svg.line to construct trapezoid geometries.

SSpaceActuary

88% match

Loading thumbnail…

Bugle Charts

Bugle charts display hierarchical distributions across multiple groups and years, with each cell containing a vertical axis where colored shapes show prior, actual, and expected values as trapezoids with animated transitions. The visualization includes a "Randomize" button that regenerates the underlying data, triggering smooth SVG transitions via d3.js v3. Rendered with SVG elements and ordinal/linear scales, the chart uses d3.svg.axis for axes, d3.svg.line for path outlines, and a dashed line to represent totals. Each group's cell is positioned using d3.scale.ordinal for x and y coordinates, with y2 scales dynamically adjusting to variance ranges.

SSpaceActuary

70% match

Loading thumbnail…

Bugle Charts

Bugle charts display eight categories across ten years, where each cell contains a set of overlapping line segments that compare prior, actual, and expected values. The chart animates and randomizes its data when the user clicks the "Randomize" button, recalculating the variance domain and redrawing the visualization using D3 v3’s scales, axes, SVG paths, and transitions. The implementation builds grid-based cells with ordinal scales for years and groups, plus a linear scale for ratio values, rendering the shapes with the `d3.svg.line` function.

SSpaceActuary

68% match

Loading thumbnail…

DataViz_TP2

This example visualizes a simple line chart of monthly values using D3.js v4, rendering an SVG with a time-scaled x-axis and linear y-axis. It displays labeled data points as light grey circles connected by a black line, with the final value annotated at the end. Hovering over a circle highlights it in red, reveals the corresponding value label, and draws a dashed vertical guide line to the bottom of the chart. The code uses `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, `d3.json` for loading `dataset.json`, and transitions via `transition().style()` for interactive feedback.

BBkilian971

67% match

Loading thumbnail…

Document

The visualization generates a random sequence of twenty charts, cycling through line charts, pie charts, and bar charts. Each line chart displays four smoothed monotone curves with colored dots, while the pie chart and bar chart render categorical and time-based data. Built with D3 v4, the code uses `d3.line`, `d3.arc`, and `d3.axisBottom`/`d3.axisLeft` to produce SVG output. Data is procedurally generated using `d3.randomUniform` and `d3.range`, with each chart styled via inline attributes and CSS classes.

DDabbar

66% match

Loading thumbnail…

Loss Triangles

The visualization displays an animated "loss triangle" of paid insurance claims, with values shown as text labels plotted by accident year and development age. A checkbox toggles the x-axis between development age and calendar year, causing the labels to slide horizontally across the chart. The SVG is rendered with D3.js, using linear scales, a transition with linear easing and per-element durations, and color brewer sequential palettes for the ordinal scale. Data comes from a CSV file of paid amounts.

SSpaceActuary

66% match

Loading thumbnail…

D3 Ternary Plot

A D3 ternary plot displays compositional data with three variables summing to 100%, using an interactive animation. The visualization renders an equilateral triangle grid with major and minor tick lines along the A, B, and C axes, plus labeled tick marks. SVG circles represent data points, which change when a "Data change" button is clicked. The code builds the plot using the D3.js library (version 3.1.6) with raw SVG attributes and transformations, computing point coordinates from the three-part ratios and using `selectAll` and `append` to construct the axes and labels dynamically.

KKelvinZCH

66% match