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feedback ege on user guide
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docs/guides/features/investigating.ipynb

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"The summary provides a high-level overview of differences between two data frames. But to understand _why_ they differ — and whether the differences point to a systematic issue — you need to drill deeper. This guide walks through `diffly`'s investigation API.\n",
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"We continue with the supermarket data pipeline scenario from the [previous guide](summary.ipynb):"
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"We continue with the supermarket data pipeline scenario from the [quickstart](../quickstart.ipynb):"
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docs/guides/features/summary.ipynb

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"## Scenario\n",
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"We continue with the supermarket data pipeline scenario from the [previous guide](summary.ipynb). To validate a new load, we compare it against the previous one and check that:\n",
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"We continue with the supermarket data pipeline scenario from the [quickstart](../quickstart.ipynb). To validate a new load, we compare it against the previous one and check that:\n",
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"- New transactions have been added (`right_only` is non-empty).\n",
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"- Old or incorrect entries have been removed (`left_only` is non-empty).\n",

docs/guides/features/tolerances.ipynb

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"When comparing data frames, floating point and temporal values may differ slightly due to precision or rounding. `diffly` supports configurable tolerances to handle these cases.\n",
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"We continue with the supermarket data pipeline scenario from the [previous guides](summary.ipynb):"
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"We continue with the supermarket data pipeline scenario from the [quickstart](../quickstart.ipynb):"
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