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Fix typo and awkward grammar in intro.qmd (#1079)

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@ -62,7 +62,7 @@ Throughout this book, we'll point you to resources where you can learn more.
## How this book is organised
The previous description of the tools of data science is organised roughly according to the order in which you use them in an analysis (although of course you'll iterate through them multiple times).
In our experience, however, this is not the best way to learn them because tarting with data ingest and tidying is sub-optimal because 80% of the time it's routine and boring, and the other 20% of the time it's weird and frustrating.
In our experience, however, learning data ingest and tidying first is sub-optimal, because 80% of the time it's routine and boring, and the other 20% of the time it's weird and frustrating.
That's a bad place to start learning a new subject!
Instead, we'll start with visualisation and transformation of data that's already been imported and tidied.
That way, when you ingest and tidy your own data, your motivation will stay high because you know the pain is worth the effort.