Project 2

Author

Anastasiia Gmyrina

Approach

For this project, I will work with three different wide-format datasets and practice turning them into tidy data. I will start by looking at how each dataset is structured and what exactly makes it untidy. Then I will use tidyr and dplyr to reshape the data, clean up the variable names and deal with missing or inconsistent values.

Since each dataset is different, the tidying process will be a little different for each one. Once the data is tidy, I will use it for the analysis proposed in the original Discussion 5A post and summarize the results with tables and visualizations.

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## Approach

For this project, I will work with three different wide-format datasets and practice turning them into tidy data. I will start by looking at how each dataset is structured and what exactly makes it untidy. Then I will use `tidyr` and `dplyr` to reshape the data, clean up the variable names and deal with missing or inconsistent values.

Since each dataset is different, the tidying process will be a little different for each one. Once the data is tidy, I will use it for the analysis proposed in the original Discussion 5A post and summarize the results with tables and visualizations.