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💨 update basic example
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examples/README.md

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@@ -22,7 +22,9 @@ Additionally, this notebook also shows some more advanced functionalities, such
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* How to add (shaded) confidence bounds to your time series
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* The flexibility of configuring different aggregation-algorithms and number of shown samples per trace
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* How plotly-resampler can be used for logarithmic x-axes and an implementation of a logarithmic aggregation algorithm, i.e., [LogLTTB](example_utils/loglttb.py)
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* Using different `fill_value` for gap handling of filled area plots.
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**Note**: the basic example notebook requires `plotly-resampler>=0.9.0rc3`.
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### 1.2 Figurewidget example
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examples/basic_example.ipynb

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