Visualization VocabularyDataviz vocabulary
Schéma : diagramme d'Ishikawa
Dessin : Adrien Taudière (CC0)
Exemple ggplot2 : diagramme d'Ishikawa
Adrien Taudière (CC0); code R ↓; données : Example of cause.and.effect(), via qcc (Scrucca 2017) (GPL)

graphique

diagramme d'Ishikawa

Schéma en forme de squelette de poisson qui range les causes possibles d'un effet en catégories, disposées en arêtes obliques le long d'une arête centrale menant à l'effet.

Ishikawa diagram

Fish-skeleton diagram that sorts the possible causes of an effect into categories, drawn as slanted bones along a central spine leading to the effect.

Outil de gestion de la qualité popularisé par Kaoru Ishikawa dans les années 1960, dont les catégories suivent souvent les 5M. Il ne code aucune quantité : la hiérarchie des causes est qualitative.

Classification

  • graphique
  • réseaux et arbres › arbres hiérarchiques
  • le nom évoque : nom de personne

Canaux

Attestation et synonymies

Littérature scientifique

OpenAlex : 9 441 articles depuis 1978, dont 51 % ces cinq dernières années; surtout en Business, Management and Accounting, Engineering, Medicine; Wikidata

Références séminales

Paquets R

Code R de l'exemple ggplot2

library(ggplot2)
library(dplyr)

## The example of qcc::cause.and.effect() (Scrucca 2017, GPL >= 2), copied
## here so that the script does not need qcc: the possible causes of surface
## flaws on machined parts, grouped by category. Categories above the spine,
## then below it, in the order of the help page.
causes <- list(
  Measurements = c("Micrometers", "Microscopes", "Inspectors"),
  Materials = c("Alloys", "Lubricants", "Suppliers"),
  Personnel = c("Shifts", "Supervisors", "Training", "Operators"),
  Environment = c("Condensation", "Moisture"),
  Methods = c("Brake", "Engager", "Angle"),
  Machines = c("Speed", "Lathes", "Bits", "Sockets")
)
dx <- 14  # horizontal run of a bone, from its outer end to the spine
bones <- tibble(category = names(causes), x = rep(c(6, 34, 62), 2),
                y = rep(c(10, -10), each = 3)) |>
  mutate(xend = x + dx, yend = 0)
## Each cause is a short horizontal rib on its bone, evenly spaced along it.
ribs <- bones |>
  rowwise() |>
  reframe(category = category, cause = causes[[category]],
          t = seq_along(cause) / (length(cause) + 1),
          xend = x + t * dx, y = y * (1 - t)) |>
  mutate(x = xend - 3)
stopifnot(nrow(ribs) == 19, nrow(bones) == 6)

p <- ggplot() +
  annotate("segment", x = 0, xend = 84, y = 0, yend = 0, colour = "#9b2367", linewidth = 0.8,
           arrow = grid::arrow(length = unit(1.6, "mm"), type = "closed")) +
  geom_segment(data = bones, aes(x = x, y = y, xend = xend, yend = yend), colour = "#535353", linewidth = 0.5) +
  geom_segment(data = ribs, aes(x = x, y = y, xend = xend, yend = y), colour = "#7d7d7d", linewidth = 0.3) +
  geom_text(data = ribs, aes(x = x - 0.5, y = y, label = cause), hjust = 1, size = 2.3, colour = "#262626") +
  geom_text(data = bones, aes(x = x, y = y + 1.4 * sign(y), label = category),
            fontface = "bold", size = 2.5, colour = "#262626") +
  annotate("tile", x = 92, y = 0, width = 15, height = 4.5, fill = "#9b2367") +
  annotate("text", x = 92, y = 0, label = "Surface\nflaws", colour = "white", fontface = "bold",
           size = 2.6, lineheight = 0.9) +
  scale_x_continuous(limits = c(-6, 100)) +
  scale_y_continuous(limits = c(-12.5, 12.5)) +
  labs(title = "Surface flaws: 19 possible causes in six categories",
       subtitle = "Cause-and-effect diagram, each bone a category, each rib a cause",
       x = NULL, y = NULL,
       caption = "Data: example of cause.and.effect(), qcc (Scrucca 2017)") +
  theme_lex_viz(grid = "", arrows = "") +
  theme(axis.text = element_blank())

Sources (3)

5 occurrences dans le corpus

Citer cette fiche

Adresse stablehttps://dataviz.adrientaudiere.com/terme/ishikawa-diagram.html

RéférenceTaudière Adrien. 2026. diagramme d'Ishikawa. Dans Visualization Vocabulary, version 1.0.0. IdEst. https://dataviz.adrientaudiere.com/terme/ishikawa-diagram.html

BibTeX
@incollection{taudiere2026-ishikawa-diagram,
  author    = {Taudière, Adrien},
  title     = {diagramme d'Ishikawa},
  booktitle = {Visualization Vocabulary},
  year      = {2026},
  version   = {1.0.0},
  publisher = {IdEst},
  url       = {https://dataviz.adrientaudiere.com/terme/ishikawa-diagram.html},
  note      = {CC0 1.0}
}

Fiche créée le 09/11/2026. Texte modifié le 10/11/2026. Images modifiées le 10/11/2026. Chiffres calculés le 22/10/2026.