Datasets / Generated

Web traffic

Daily sessions, bounce rate and conversions per source for 2025.

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1,825 rows6 columns Generated

Worked examples

Each of these is a real run: the pipeline picked the columns, shaped the rows and chose the form. Open the trace to see what it decided and why.

Monthly sessions by acquisition source

Growth is a comparison of slopes, so every source is drawn on one axis at one scale - not one panel each.

which traffic source grew the most this year? — 60 rows charted from 1,825, drawn as a line

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How it decided

Finding the data64 ms

Web traffic: 1,825 rows, 6 columns. day, source and sessions. Bounce rate is a different question.

Shaping the data10 ms

1,825 rows in, 60 out across 3 columns. Growth is a comparison of slopes, so every source is drawn on one axis at one scale - not one panel each.

Choosing the chart14 ms

line. One line per source on a shared axis. Small multiples would make the slopes incomparable, which is the whole question.

Applying defaults1 ms

Palette, spacing, axis titles and legend placement applied. 0 issues found.

Average bounce rate by source

Bounce rate is already a rate, so the sessions are averaged, never summed - a summed rate is a meaningless number.

how does bounce rate compare across sources? — 5 rows charted from 1,825, drawn as a bar

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How it decided

Finding the data83 ms

Web traffic: 1,825 rows, 6 columns. source and bounce_rate.

Shaping the data13 ms

1,825 rows in, 5 out across 2 columns. Bounce rate is already a rate, so the sessions are averaged, never summed - a summed rate is a meaningless number.

Choosing the chart9 ms

bar. One measure across a few named categories: bars, sorted.

Applying defaults1 ms

Palette, spacing, axis titles and legend placement applied. 0 issues found.

Schema

6 columns, typed as the pipeline sees them — which is how it knows what can go on a time axis and what can be summed.

Column	Type	Example
day	date	2025-01-01
source	text	Organic
sessions	number	4502
bounce_rate	number	0.4091
avg_seconds	number	73.6
conversions	number	87

First 8 rows

day	source	sessions	bounce_rate	avg_seconds	conversions
2025-01-01	Organic	4502	0.4091	73.6	87
2025-01-01	Direct	2338	0.4736	121.5	56
2025-01-01	Paid	2256	0.4455	226.9	38
2025-01-01	Social	966	0.4566	132.2	15
2025-01-01	Referral	513	0.3635	141.8	14
2025-01-02	Organic	4810	0.4495	201.3	124
2025-01-02	Direct	1940	0.5087	191.2	46
2025-01-02	Paid	2006	0.3707	98.9	31

Ask it something else

which traffic source grew the most this year?was there a drop in sessions, and when?how does bounce rate compare across sources?what is the conversion rate by source over time?

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