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@ -125,12 +125,12 @@ df %>%
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There are a finite number of cuisines, but the distribution of data is uneven. You can fix that! Before doing so, explore a little more.
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2. Next, let's assign each cuisine into it's individual tibble and find out how much data is available (rows, columns) per cuisine.
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2. Next, let's assign each cuisine into it's individual table and find out how much data is available (rows, columns) per cuisine.
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```{r cuisine_df}
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# Create individual tibbles for the cuisines
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# Create individual tables for the cuisines
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thai_df <- df %>%
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filter(cuisine == "thai")
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japanese_df <- df %>%
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