https://pizza.rs/tags/boxplot/Recent content in Boxplot on INFINI PizzaHugoenhttps://pizza.rs/docs/references/aggregation/metric/boxplot/Mon, 01 Jan 0001 00:00:00 +0000https://pizza.rs/docs/references/aggregation/metric/boxplot/<h1 id="boxplot-aggregation"> Boxplot aggregation <a class="anchor" href="#boxplot-aggregation">#</a> </h1> <p>A multi-value metrics aggregation producing the five-number summary of a distribution: minimum, lower quartile (q1), median (q2), upper quartile (q3) and maximum, plus whiskers.</p> <h2 id="how-it-works"> How it works <a class="anchor" href="#how-it-works">#</a> </h2> <p>The engine collects and sorts the values of the field, then:</p> <ul> <li><code>min</code> / <code>max</code> are the observed extremes (after <code>missing</code> substitution).</li> <li><code>q1</code>, <code>q2</code>, <code>q3</code> are the 25th, 50th and 75th percentiles, computed with the same TDigest arithmetic <a href="https://pizza.rs/docs/references/aggregation/metric/percentiles/"><code>percentiles</code></a> uses — weight-1 centroids at <code>(i + 0.5) / n</code> with linear interpolation between the two bracketing values. A quartile can therefore land between observed values (<code>q2</code> of the sale prices is <code>22.5</code>, between <code>15</code> and <code>30</code>).</li> <li>The whiskers extend from the quartiles by 1.5 × IQR, where <code>IQR = q3 − q1</code>, and are clamped to the data: <code>lower = max(q1 − 1.5·IQR, min)</code>, <code>upper = min(q3 + 1.5·IQR, max)</code>. Values beyond the unclamped whisker positions are the conventional boxplot outliers.</li> </ul> <p>Clamping means on a compact distribution the whiskers simply touch the extremes — over the teaching sales prices the whiskers land exactly on <code>min</code> and <code>max</code>. If no document has a value for the field, all seven numbers are <code>0</code>.</p>