Feature Engineering of mixed data type column I have a data set in which I have to predict the price of a building. Among many features there is a feature called Availability which has two type values like :

"Ready To Move" and a date (e.g. "20-Jan", "18-May", etc.)


For example: 

Availability           Price
------------           ----- 
Ready To Move           55
18-Apr                  38


How would you engineer this column to find its relationship with price and to draw other conclusions.
You have several choices. Among them try these:


Discretize your target and use chi-square association measure or Cramer's V to see the association between variables.
The other way around i.e. convert availability labels to numerics and simply try different association analysis methods like Correlation (Pearson, Spearman, Kendall) or Mutual Information.


PS: Please note that Spearman or Kendall Rank Correlations can also be applied to your categorical variables as they are ordered (dates).