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+This is a notes on the Critical Data Ananlysis
+
+Data is about the house analysis of 90K rows out of which we forked 907 data to perform the analaysis.
+
+Some information regarding the variables below.
+
+| Variable   (Column Name) | Description                                                                  |
+|--------------------------|------------------------------------------------------------------------------|
+| id                       | Property id                                                                  |
+| Price                    | Sale price of the   property                                                 |
+| mq                       | Total square meters   of the property                                        |
+| Floor                    | Entrance floor of the   property                                             |
+| n_rooms                  | Total number of rooms                                                        |
+| n_bathrooms              | Total number of   bathrooms                                                  |
+| has_terrace              | Property has a   terrace                                                     |
+| has_alarm                | Property has an alarm                                                        |
+| heating                  | Type of heating   (“autonomous”, “ other”)                                   |
+| has_air_conditioning     | Property has Air   conditioning                                              |
+| has_parking              | Property has parking                                                         |
+| Is_furnished             |     Was the property sold with its contents (furnishings) or   not? (0,1)    |
+
+
+## Objective
+
+Main Objective is to created an analysis of house pricing based on the different variables provided.