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IndrajeetPatil committed Nov 17, 2024
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![](media/this-is-fine.jpg){.relative fig-align="center"}

- How to avoid reporting errors?
- How to make visualizing data effortless?
- How to emphasize the importance of the effect?
- How to interpret null results?
- How to increase replicability?
- How to emphasize the importance of the effect?
- How to easily assess validity of model assumptions?
- How to increase reproducibility?
- How to make data visualization effortless?

:::

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::: {.column width="40%"}

<br>

:::{style="background-color: #FFDCA9; padding: 20px; border-radius: 25px; text-align: center;"}
:::{style="background-color: #FFDCA9; padding: 20px; margin: 20px; border-radius: 25px; text-align: center;"}

The **grammar of graphics** framework can prepare **any** visualization! But building plots from scratch can be time-consuming.

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::: {.column width="60%"}

<br>

:::{style="background-color: #FDE7BB; padding: 20px; border-radius: 25px; text-align: center;"}
:::{style="background-color: #FDE7BB; padding: 20px; margin: 20px; border-radius: 25px; text-align: center;"}

💡 Using **ready-made plots** lowers the effort needed for visualizing data!

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