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These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
| # List unique values in a DataFrame column | |
| # h/t @makmanalp for the updated syntax! | |
| df['Column Name'].unique() | |
| # For each unique value in a DataFrame column, get a frequency count | |
| df['Column Name'].value_counts() | |
| # Convert Series datatype to numeric (will error if column has non-numeric values) | |
| # h/t @makmanalp | |
| pd.to_numeric(df['Column Name']) |
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