Introduction This dataset was created in [this notebook](https://www.kaggle.com/jamesleslie/titanic-eda-wrangling-imputation/notebook) as part of a three-part series. The data is in machine-learning-ready format, with all missing values for the `Age`, `Fare` and `Embarked` columns having been imputed. Data imputation - `Age`: this column was imputed by using the median age for the passenger's title (Mr, Mrs, Dr etc). - `Fare`: the single missing value in this column was imputed using the median value for that passenger's class. - `Embarked`: the two missing values here were imputed using the Pandas `backfill` method. Usage This data is used in both the second and third parts of the series.