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Update starting.Rmd #81

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Expand Up @@ -361,7 +361,7 @@ cars <- spark_read_csv(sc, "cars.csv")

In the same way that R is known for its vibrant community of package authors, at a smaller scale, many extensions for Spark and R have been written and are available to you. The Extensions chapter will introduce many interesting ones to perform advanced modeling, graph analysis, preprocess datasets for deep learning, etc.

For instance, the `sparkly.nested` extension is an R package that extends `sparklyr` to help you manage values that contain nested information. A common use case arises when dealing with JSON files which contain nested lists that require preprocessing before doing meaningful data analysis. To use this extension, we have to first install it as follows:
For instance, the `sparklyr.nested` extension is an R package that extends `sparklyr` to help you manage values that contain nested information. A common use case arises when dealing with JSON files which contain nested lists that require preprocessing before doing meaningful data analysis. To use this extension, we have to first install it as follows:

```{r eval=FALSE, exercise=TRUE}
install.packages("sparklyr.nested")
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