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README.md

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@@ -23,21 +23,20 @@ performance improvements. It’s a big one!
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2. **Horizontal Plots**: Users can now create horizontal layout plots,
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providing compact data visualization. This can be achieved by
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setting `horizontal=True` in the `.plot()` method. See the
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[Horizontal Plots
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tutorial](../nbs/tutorials/08-horizontal_plot.ipynb) for more
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details.
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[Horizontal Plots tutorial](tutorials/08-horizontal_plot.ipynb) for
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more details.
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3. **Forest Plots**: Forest plots provide a simple and intuitive way to
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visualize many delta-delta (or delta *g*), mini-meta, or regular
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delta effect sizes at once from multiple different dabest objects
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without presenting the raw data. See the [Forest Plots
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tutorial](../nbs/tutorials/07-forest_plot.ipynb) for more details.
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tutorial](tutorials/07-forest_plot.ipynb) for more details.
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4. **Gridkey**: Users can now represent experimental labels in a
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‘gridkey’ table. This can be accessed with the `gridkey` parameter
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in the `.plot()` method. See the gridkey section in the [Plot
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Aesthetics tutorial](../nbs/tutorials/09-plot_aesthetics.ipynb) for
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more details.
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Aesthetics tutorial](tutorials/09-plot_aesthetics.ipynb) for more
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details.
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5. **Other Visualization Improvements**:
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Raw and contrast bars are shown by default. Users can customize
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these bars and add summary bands as needed. For detailed
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customization instructions, please refer to the [Plot Aesthetics
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tutorial](../nbs/tutorials/09-plot_aesthetics.ipynb).
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tutorial](tutorials/09-plot_aesthetics.ipynb).
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- **Tighter spacing in delta-delta and mini-meta plots**: We have
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adjusted the spacing of delta-delta and mini-meta plots to reduce

nbs/read_me.ipynb

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"\n",
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"1. **Python 3.13 Support**: DABEST now supports Python 3.10—3.13.\n",
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"\n",
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"2. **Horizontal Plots**: Users can now create horizontal layout plots, providing compact data visualization. This can be achieved by setting `horizontal=True` in the `.plot()` method. See the [Horizontal Plots tutorial](../nbs/tutorials/08-horizontal_plot.ipynb) for more details.\n",
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"2. **Horizontal Plots**: Users can now create horizontal layout plots, providing compact data visualization. This can be achieved by setting `horizontal=True` in the `.plot()` method. See the [Horizontal Plots tutorial](tutorials/08-horizontal_plot.ipynb) for more details.\n",
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"\n",
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"3. **Forest Plots**: Forest plots provide a simple and intuitive way to visualize many delta-delta (or delta *g*), mini-meta, or regular delta effect sizes at once from multiple different dabest objects without presenting the raw data. See the [Forest Plots tutorial](../nbs/tutorials/07-forest_plot.ipynb) for more details.\n",
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"3. **Forest Plots**: Forest plots provide a simple and intuitive way to visualize many delta-delta (or delta *g*), mini-meta, or regular delta effect sizes at once from multiple different dabest objects without presenting the raw data. See the [Forest Plots tutorial](tutorials/07-forest_plot.ipynb) for more details.\n",
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"\n",
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"4. **Gridkey**: Users can now represent experimental labels in a ‘gridkey’ table. This can be accessed with the `gridkey` parameter in the `.plot()` method. See the gridkey section in the [Plot Aesthetics tutorial](../nbs/tutorials/09-plot_aesthetics.ipynb) for more details.\n",
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"4. **Gridkey**: Users can now represent experimental labels in a ‘gridkey’ table. This can be accessed with the `gridkey` parameter in the `.plot()` method. See the gridkey section in the [Plot Aesthetics tutorial](tutorials/09-plot_aesthetics.ipynb) for more details.\n",
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"\n",
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"5. **Other Visualization Improvements**:\n",
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" - **Comparing means and effect sizes**: The estimation plots now include three types of customizable visual features to enhance contextualization and comparison of means and effect sizes:\n",
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" - **Bars for the mean of the observed values (`raw_bars`)**: Colored rectangles that extend from the zero line to the mean of each group's raw data. These bars visually highlight the central tendency of the raw data.\n",
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" - **Bars for effect size/s (`contrast_bars`)**: Similar to raw bars, these highlight the effect-size difference between two groups (typically test and control) in the contrast axis. They provide a visual representation of the differences between groups.\n",
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" - **Summary bands (`reference_band`)**: An optional band or ribbon that can be added to emphasize a specific effect size’s confidence interval that is used as a reference range across the entire contrast axis. Unlike raw and contrast bars, these span horizontally (or vertically if `horizontal=True`) and are not displayed by default.\n",
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"\n",
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" Raw and contrast bars are shown by default. Users can customize these bars and add summary bands as needed. For detailed customization instructions, please refer to the [Plot Aesthetics tutorial](../nbs/tutorials/09-plot_aesthetics.ipynb).\n",
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" Raw and contrast bars are shown by default. Users can customize these bars and add summary bands as needed. For detailed customization instructions, please refer to the [Plot Aesthetics tutorial](tutorials/09-plot_aesthetics.ipynb).\n",
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"\n",
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" - **Tighter spacing in delta-delta and mini-meta plots**: We have adjusted the spacing of delta-delta and mini-meta plots to reduce whitespace. The new format brings the overall effect size closer to the two-groups effect sizes. In addition, delta-delta plots now have a gap in the zero line to separate the delta-delta from the ∆ effect sizes.\n",
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"\n",

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