7. Given a dataframe df, to eliminate all rows with missing data it is best to use: df.removena0 df.dropna() df.dropnan0 df.removenan0 8. To create a pandas dataframe form a CSV file you would use: \[ \begin{array}{l} \mathrm{df}=\text { pdread } \operatorname{csv}(\text { 'data.csv') } \\ \mathrm{df}=\text { pd.load_csv('data.csv') } \\ \mathrm{df}=\text { pd.import_csv('data.csv') } \\ \mathrm{df}=\text { pd.to csv('data.csv') } \end{array} \]