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Fix merge conflict

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hadley 2016-07-31 11:47:51 -05:00
parent c4168bbd37
commit d58ce97ea4
1 changed files with 1 additions and 7 deletions
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EDA.Rmd
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@ -427,13 +427,7 @@ Then visualise with `geom_tile()` and the fill aesthetic:
diamonds %>% diamonds %>%
count(color, cut) %>% count(color, cut) %>%
ggplot(mapping = aes(x = color, y = cut)) + ggplot(mapping = aes(x = color, y = cut)) +
<<<<<<< HEAD geom_tile(mapping = aes(fill = n))
geom_tile(aes(fill = n))
||||||| merged common ancestors
geom_tile(aes(fill = n))
=======
geom_tile(mapping = aes(fill = n))
>>>>>>> 3eb371e1111d5ec11bacc14d8b4d38208a055bed
``` ```
If the categorical variables are unordered, you might want to use the seriation package to simultaneously reorder the rows and columns in order to more clearly reveal interesting patterns. For larger plots, you might want to try the d3heatmap or heatmaply packages, which create interactive plots. If the categorical variables are unordered, you might want to use the seriation package to simultaneously reorder the rows and columns in order to more clearly reveal interesting patterns. For larger plots, you might want to try the d3heatmap or heatmaply packages, which create interactive plots.