How to refresh data using parse and swift?

How do I parse and analyze demographic data using Python?

• I am having an Excel sheet with following information: 1.Personal Details(Name,Age,Gender,City of Residence,City of Interest,Ethnicity), 2.Contact Details(Mobile,Landline,Email), 3.Employment Details(Employer,Sector,Salary,Experience,Job Profile), 4.Ownership of Assets(Property,Other assets like Car). How should I proceed now? Please guide me with your valuable suggestions.

• Answer:

  Firstly, do some data munging for making it easy to proceed to the analytics part. This is the first and the most important, and also the most time-consuming step. (but things like outlier detection, etc would be super-exciting) If you're still confused about the munging part, pl go through this: http://nbviewer.ipython.org/github/herrfz/dataanalysis/blob/master/week2/data_munging_basics.ipynb Then, you can proceed towards the most exciting part: The analytics. Depending on the nature of your data and the outcome you want (be it regression or classification or something else), select a model and implement it on the data. Then comes the optimization techniques (and cross-validation too.)