DS-Assignment

This assignment provides analytics for PSD data. This contains python files and three word documents for 1 page summary,executive summary and analytical report

The usage of each python file as follow.

1. processData.ipynb :- to identify the incomplete data and outliers
2. Data_Transformation.py :- For removing unnecessary data not included in the analysis
   
3. Descriptive_Stastics.py:- For doing descriptive statistics for preliminary analysis of our data using the "describe" attribute
   
4. FindingOutliers.py:- For finding are there any outlliers are available in the data set
   
5. Hypothesis_Testing.py:- For doing hypothesis testing using the stats library of scipy
   
6. remove_outliers.py:- For removing outliers which are identified by box plot
   
7. Confidence_Level.py :- For calculating confidence level
   
8. visualization.py:- This is for visualization. Here we use the matplotlib library and seaborn module
9. data_analysis.ipynb : file used for analysis purpose