Metadata-Version: 2.1
Name: Aalmond
Version: 0.1.0
Summary: Functions for Dataframe Vital Stats, Outliers Detection, Sectional Data View from Mid, Mid Q1, Mid Q3 of a Dataframe
Home-page: UNKNOWN
Author: Manoj S Bhave
Author-email: manojsbhave@gmail.com
License: MIT
Keywords: Data Science,Data Analysis,EDA,Vital Stats,Outliers,Impute,IQR,Zscore,Sectional Dataframe View
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3

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Project : Aalmond!
Contents: This file contains three (3) Function Definitions that provides Primary EDA (Exploratory Data Analysis) functionality: 
Function: Dataframe Vital Stats, Outliers Detection, Data View from various sections of a DataFrame.

1. vitalStats() : Displays Pandas DataFrame Vital Stats, an exended output of seeded describe()
2. showdfQ()    : Displays data rows of a Pandas DataFrame selectively from Mid, Mid Q1, Mid Q3 section of a Dataframe
3. showOutL()   : Displays and/or Imputes Outlier values, based on IQR Method, of Pandas DataFrame Numeric Column(s) 

Usage, Parameter & General Notes documented inside each function as Docstring.

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0.1.0 2000 Jul.23.Thu: Aalmond!       Package  : Initial Release 
0.1.0 2000 Jul.23.Thu: vitalStats()   Function : Initial Release 
0.1.0 2000 Jul.23.Thu: showdfQ()      Function : Initial Release 
0.1.0 2000 Jul.23.Thu: showOutL()     Function : Initial Release 
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