Chart Bubble | Zyeon UI

Every bubble in First cohort · single reading, largest area first.
Item	Revenue per account	12-month retention	Sessions	Share of total
Pilot cohort	24 $	71%	0	—

status="ready" · five quarters, 13 segments each (14 in 2024 Q3). Area encodes monthly actives and the radius is square-rooted, so 1.9M “US self-serve” is the biggest bubble instead of the squared blob a linear radius would produce. Drag the slider or hit Play to watch positions tween; “Nordics pilot” fades in at 2024 Q3 and “Legacy resellers” fades out after it.

Segments · trailing five quarters

Self-serve is the biggest audience and the weakest on both axes

13 items · 4 groups · area = Monthly active users, up to 1.9M

2024 Q1 · 1/5

North America
EMEA
APAC
LATAM

Every bubble in snapshot 2024 Q1, largest area first.
Item	Group	Revenue per account	12-month retention	Monthly active users	Share of total
US self-serve	North America	45 $	61.1%	1.4M	32.7%
US mid-market	North America	167 $	89%	628.1K	14.9%
India	APAC	57 $	66.3%	473.3K	11.2%
US enterprise	North America	252 $	92.9%	306.3K	7.3%
Brazil	LATAM	63 $	63.7%	256.1K	6.1%
United Kingdom	EMEA	176 $	88.2%	235K	5.6%
Germany	EMEA	187 $	90.2%	202.3K	4.8%
Canada	North America	156 $	87.3%	180.7K	4.3%
France	EMEA	142 $	84.2%	152.9K	3.6%
Japan	APAC	133 $	86.1%	120.5K	2.9%
Mexico	LATAM	71 $	69.1%	119.2K	2.8%
Australia	APAC	159 $	85.2%	93.7K	2.2%
Legacy resellers	LATAM	95 $	58%	65.3K	1.6%

status="empty" · a valid contract with no points at all, told apart from “loading” and “fetch failed”.

Segments · trailing five quarters

Self-serve is the biggest audience and the weakest on both axes

Nothing to plot yet

A bubble needs a position on both axes and a magnitude for its area.

status="loading" · skeleton bubbles at fixed positions, aria-hidden, no timers involved.

Segments · trailing five quarters

Self-serve is the biggest audience and the weakest on both axes

status="error" · the fetch failed; “Try again” appears only when onRetry is passed, and clicking it switches to ready.

Segments · trailing five quarters

Self-serve is the biggest audience and the weakest on both axes

Couldn't load this chart

The data source didn't respond.

Degenerate data · “Everything else” takes 95% of the total area; three points share one x (zero span in that column); two y values are negative (week-over-week decline), so a zero line is drawn; one size value is exactly 0; and one 42-character label fits inside no bubble — it shows up only in the hover/focus tooltip and the sr-only table.

Feature usage · degenerate data

One dominant bubble, a tied column, negative growth and a label nothing can hold

6 items · 2 groups · area = Weekly sessions, up to 486K

Core
Experiments

Every bubble in Feature usage · degenerate data, largest area first.
Item	Group	Median session length	Week-over-week change	Weekly sessions	Share of total
Everything else	Core	12 s	4.2%	486K	95.7%
Docs search	Core	12 s	1.1%	9.6K	1.9%
Inline suggestions	Core	12 s	-3.4%	7.4K	1.5%
Retrieval-augmented answer drafting (beta)	Experiments	31 s	9.8%	4.1K	0.8%
Voice	Experiments	44 s	-6.1%	900	0.2%
Never shipped	Experiments	6 s	0%	0	0%

Degenerate data · a single reading with size 0: both axis domains have to pad around one value, the size legend has no reference bubble to draw, and the correlation line says plainly that there are too few points.

First cohort · single reading

One segment, one snapshot, and a magnitude of zero

1 item · area = Sessions

Every bubble in First cohort · single reading, largest area first.
Item	Revenue per account	12-month retention	Sessions	Share of total
Pilot cohort	24 $	71%	0	—

minRadius={0} · drop the radius floor and area is strictly proportional: “Never shipped” has size 0, so its radius is 0 and it vanishes — the price of strict proportionality (the value still appears in the readout row and the sr-only table). The x domain is also pinned to [0, 35], so “Voice” at x=44 falls outside and is not drawn; the footer calls out that one point did.

Feature usage · degenerate data

One dominant bubble, a tied column, negative growth and a label nothing can hold

5 items · 2 groups · area = Weekly sessions, up to 486K

Core
Experiments

1 outside the fixed axis domain.

Every bubble in Feature usage · degenerate data, largest area first. 1 further reading could not be placed and are not listed.
Item	Group	Median session length	Week-over-week change	Weekly sessions	Share of total
Everything else	Core	12 s	4.2%	486K	95.8%
Docs search	Core	12 s	1.1%	9.6K	1.9%
Inline suggestions	Core	12 s	-3.4%	7.4K	1.5%
Retrieval-augmented answer drafting (beta)	Experiments	31 s	9.8%	4.1K	0.8%
Never shipped	Experiments	6 s	0%	0	0%

size.max pinned to 300K · fix the area ceiling when two charts have to be compared side by side; bubbles above it are drawn at the maximum radius and the footer says how many exceeded it.

Feature usage · degenerate data

One dominant bubble, a tied column, negative growth and a label nothing can hold

6 items · 2 groups · area = Weekly sessions, up to 300K (fixed ceiling)

Core
Experiments

1 above the fixed area ceiling, drawn at the maximum radius.

Every bubble in Feature usage · degenerate data, largest area first.
Item	Group	Median session length	Week-over-week change	Weekly sessions	Share of total
Everything else	Core	12 s	4.2%	486K	95.7%
Docs search	Core	12 s	1.1%	9.6K	1.9%
Inline suggestions	Core	12 s	-3.4%	7.4K	1.5%
Retrieval-augmented answer drafting (beta)	Experiments	31 s	9.8%	4.1K	0.8%
Voice	Experiments	44 s	-6.1%	900	0.2%
Never shipped	Experiments	6 s	0%	0	0%

onSelect · pass it and bubbles become role="button": Tab into the chart, move between points with the arrow keys, fire with Enter; transitionMs={0} also shows tweening turned off.

Segments · trailing five quarters

Self-serve is the biggest audience and the weakest on both axes

13 items · 4 groups · area = Monthly active users, up to 1.9M

2024 Q1 · 1/5

North America
EMEA
APAC
LATAM

Every bubble in snapshot 2024 Q1, largest area first.
Item	Group	Revenue per account	12-month retention	Monthly active users	Share of total
US self-serve	North America	45 $	61.1%	1.4M	32.7%
US mid-market	North America	167 $	89%	628.1K	14.9%
India	APAC	57 $	66.3%	473.3K	11.2%
US enterprise	North America	252 $	92.9%	306.3K	7.3%
Brazil	LATAM	63 $	63.7%	256.1K	6.1%
United Kingdom	EMEA	176 $	88.2%	235K	5.6%
Germany	EMEA	187 $	90.2%	202.3K	4.8%
Canada	North America	156 $	87.3%	180.7K	4.3%
France	EMEA	142 $	84.2%	152.9K	3.6%
Japan	APAC	133 $	86.1%	120.5K	2.9%
Mexico	LATAM	71 $	69.1%	119.2K	2.8%
Australia	APAC	159 $	85.2%	93.7K	2.2%
Legacy resellers	LATAM	95 $	58%	65.3K	1.6%

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