Medical-Analysis

I programmed a Python project to demonstrate the use of the Pandas Python library (Series, DataFrames, Overloaded, Higher-Order functions), and Numpy to analyze existing medical data!

Program Utilizes:

• Creating Serie/Data Frame objects
• Using High-Order and Built-In Pandas functions:
  • s.max(), s.std(), s.count(), and many more
  • s.map()
  • df.apply()
  • lambda functions
  • dataframe filtrations
• Series and DataFrame conversions
• Using Overloaded functions and boolean operators
• Series and DataFrame Data Structure Slicing/Selection
• Delimiter: separator of content while parsing a file --> regex
• Headers: data file --> row numbers
• Name: array --> data file --> column names
• Row Number Count: number of lines to read in the data file

Program Functionalities:

• Accessing, Altering, Manipulating, Filtering, and Searching Serie/Data Frame contents
• Using filtration techniques to find patients according to search queries
• Standardizes the entire data collection use of data statistical values