Basic Histogram

Mix.install([
  {:plotly_ex, "~> 0.3"},
  {:kino, "~> 0.18"}
])

Section

Histogram.new(x: [...]) automatically bins the data and counts occurrences per bin. Plotly chooses the number of bins automatically; use nbinsx: to override.

alias Plotly.{Figure, Histogram}

:rand.seed(:exsss, {1, 2, 3})

# Central Limit Theorem approximation: sum of 12 uniform(0,1) - 6 ≈ N(0,1)
x = for _ <- 1..500 do
  (for _ <- 1..12, do: :rand.uniform()) |> Enum.sum() |> Kernel.-(6.0)
end

Figure.new()
|> Figure.add_trace(Histogram.new(x: x))
|> Figure.update_layout(title: "Basic Histogram")
|> Plotly.show()