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18 templates

Plot templates

Plain XY charts and plotted functions: scatter, line, grouped bars, histograms with a named bin rule, Tukey boxes, and formulas sampled adaptively so a high-frequency curve is not quietly aliased into a different one. Renders natively, so it works offline and on the server.

  • Scatter and Model — Cabinet Cooling Curve

    Measured temperatures with their standard deviations against a modelled decay, which is the commonest figure in an engineering report and the one this platform could not previously draw without a browser. The intervals name themselves as SD rather than leaving a bare ±, so a reader can tell them from a confidence interval by reading rather than by asking.

    Scientific Plots
  • Dose–Response with 95% Confidence Intervals

    A four-parameter logistic drawn over the observed responses on a logarithmic concentration axis, with the observations carrying 95% confidence intervals that say so. Shows the two things a dose–response figure is usually wrong about: an unlabelled uncertainty, and a log axis whose base is never stated.

    Life Sciences
  • Grouped Bars — Revenue by Region and Year

    Two years of regional revenue as grouped bars on a baseline of zero. The zero baseline is not a stylistic choice: a bar encodes quantity by length, so a cut baseline turns a three per cent difference into what looks like a threefold one, and this is the figure people cut most often.

    Business & Strategy
  • Teaching Case — What a Cut Bar Baseline Looks Like

    The same three quarters drawn twice is impossible in one panel, so this is the cut version alone — and the engine's own warning about it is part of the figure. A deliberate teaching artefact: open it to see what a truncated baseline does to a nine per cent spread, with the sentence explaining it printed underneath rather than left for a reviewer to say.

    Business & Strategy
  • Box Plots — Request Latency Before and After

    Two distributions of request latency as Tukey boxes with their outliers kept and their means marked. The mean is drawn separately because a box shows the MEDIAN, and a reader who assumes it is the mean misreads every skewed group — which for a latency distribution is every group.

    Operations & Ops
  • Histogram — Particle Size, with the Bin Rule Named

    A size distribution binned by Freedman–Diaconis, with the rule stated in the figure. Bin width is the single choice that decides what a histogram appears to say — the same data at two widths shows one mode or three — so a histogram that does not name its rule is a figure whose main claim cannot be checked.

    Scientific Plots
  • Function — Damped Oscillation with its Envelope

    A decaying sinusoid drawn against its own envelope, sampled adaptively so the peaks are real peaks rather than whatever a uniform grid happened to land on. The clearest demonstration of why the sampler bisects where the curve bends: at a fixed 100 points this figure shows a different frequency from the one in the formula.

    Mathematics
  • Function Family — Normal Densities at Three Widths

    Three normal densities sharing a mean and differing in width, written as formulas rather than as sampled points. The engine carries erf and gamma for exactly this reason: a density written out of exp and log by hand is where the arithmetic error usually enters, and a figure of a wrong density is indistinguishable from a figure of a right one.

    Mathematics
  • Log Axis — Throughput Across Four Orders of Magnitude

    Measured throughput against request size on a logarithmic y axis, with the axis stating its own base. A log axis is the right choice here and the wrong choice more often than it is used, so the template pairs it with a note saying what the reader has to do differently: on this axis equal vertical distances are equal RATIOS, not equal differences.

    Data & Schema
  • Teaching Case — What a Log Axis Does With a Zero

    A series containing a genuine zero plotted on a logarithmic axis, so the engine's sentence about it is visible next to the figure. Every plotting tool drops zero and negative values from a log axis; almost none says so, and the result is a series with a hole in it that a reader interprets as a series with no data there.

    Data & Schema
  • Step Chart — Staffing Level Through a Shift

    A quantity that changes in discrete jumps drawn as a step rather than as a line, because a straight segment between two staffing levels claims a half-person existed between them. One of the few chart choices that is a correctness question rather than a taste question.

    Operations & Ops
  • Calibration and Residuals — Instrument Linearity

    A calibration series against the ideal one-to-one line, with the residuals plotted on the same axes so the departure is visible rather than inferred. Shows a reference line drawn from a formula, which is the honest way to put a comparison on a figure — the line is a stated relationship, not a fit to the points beside it.

    Scientific Plots
  • Lead-time distribution and service level expectation — spares kanban

    Lead-time histogram of 60 completed replenishment orders with the 50th, 85th and 95th percentile lines, the figure a flow or kanban team uses to quote a service level expectation instead of an average.

    Lean & Flow
  • EVM Performance Report — PV / EV / AC S-curve with CPI, SPI and EAC

    Monthly earned value management report for a capital scheme: cumulative planned value, earned value and actual cost curves at the data date, with cost variance, schedule variance, CPI, SPI, TCPI and a CPI-based estimate at completion — the ANSI/EIA-748 figure a project controls manager files every period.

    Project & Planning
  • Quantitative Schedule Risk Analysis — completion S-curve, P50 and P80

    Cumulative probability curves from a Monte Carlo schedule risk analysis of a CPM network, pre- and post-mitigation, reading off the confidence in the deterministic finish date and the P50 and P80 dates used to set schedule contingency, as required by AACE RP 57R-09.

    Project & Planning
  • Cost–Volume–Profit — Break-Even and Margin of Safety

    Break-even chart for management accounting: sales revenue against total cost and the fixed-cost floor, with the break-even volume, the budget point, the contribution per unit and the margin of safety computed from the stated selling price, variable cost and fixed cost.

    Business & Strategy
  • Gibbs phenomenon — Fourier partial sums of a square wave

    Fourier partial sums S_5, S_15 and S_45 of the square wave sign(sin x) plotted against the wave itself, showing the overshoot narrowing but never shrinking below 8.949% of the jump — the standard figure for non-uniform convergence and filter ripple.

    Mathematics
  • Levey-Jennings chart — glucose QC with a 2-2s rejection

    Levey-Jennings internal quality control chart for a clinical chemistry analyte: twenty daily QC results plotted against an assigned mean and cumulative SD with +/-1s, +/-2s and +/-3s limits, showing the 1-2s warning at run 14 and the 2-2s systematic-error rejection completed at run 15 — the chart a medical laboratory scientist reviews and signs before releasing any patient result.

    Life Sciences