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Your boss at _Crunching Numbers_ needs you to determine which match and stadium had the highest attendance during the 2019 FIFA Women's World Cup. Use your data import and cleaning skills to dig through the dirty data, clean it up, and present your boss with polished graphs. These data come from the online 2019 FIFA Women's World Cup [match reports](https://www.fifa.com/womensworldcup/matches/?#groupphase).
- 1Importing data part 1
- 2Importing data part 2
- 3Removing rows of NA
- 4Replacing NA
- 5separate() and replace_na()
- 6Plotting for outliers
- 7What to do with the outlier?
- 8A pretty boxplot
- 9A pretty line plot
- 10Wrap up
Instructor at DataCamp
Erin is a marine geospatial research ecologist who combines physical and biological spatiotemporal data to understand marine ecosystems. She received her Ph.D. in Marine Science and Conservation from Duke University and is passionate about science communication and data visualization. When she is not playing with environmental and species datasets, Erin can be found hiking with her dog.
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