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Update analysis.Rmd #100

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Expand Up @@ -429,7 +429,7 @@ ggplot(aes(as.factor(cyl), mpg), data = car_group) +
render_image("images/analysis-visualizations-1.png")
```

Any other `ggplot2` visualization can be made to work using this approach; however, this is beyond the scope of the book. Instead, we recommend that you read [_R Graphics Cookbook_](https://oreil.ly/bIF4), by Winston Chang (O'Reilly) to learn additional visualization techniques applicable to Spark. Now, to ease this transformation step before visualizing, the `dbplot` package provides a few ready-to-use visualizations that automate aggregation in Spark.
Any other `ggplot2` visualization can be made to work using this approach; however, this is beyond the scope of the book. Instead, we recommend that you read [_R Graphics Cookbook_](https://r-graphics.org/), by Winston Chang (O'Reilly) to learn additional visualization techniques applicable to Spark. Now, to ease this transformation step before visualizing, the `dbplot` package provides a few ready-to-use visualizations that automate aggregation in Spark.

### Using dbplot

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