Metadata-Version: 2.1
Name: peopleanalyticsdata
Version: 0.1.5
Summary: Allows data access from the book - Handbook of Regression Modeling in People Analytics.
Home-page: https://github.com/akshayreddykotha/peopleanalyticsdata
Author: Akshay Kotha
Author-email: akotha@ucsd.edu
License: UNKNOWN
Description: # Overview
        
        Project name: peopleanalytics-python
        
        This package is port of an R package associated with the [free online](http://peopleanalytics-regression-book.org/) book _Handbook of Regression Modeling in People Analytics_ by Keith McNulty. Some additional information about the inspiration [here](https://towardsdatascience.com/beginner-friendly-data-science-projects-accepting-contributions-3b8e26f7e88e#14bf).
        
        # Background
        
        At peopleanalytics-regression-book.org, McNulty makes the data referenced in _Handbook of Regression Modeling in People Analytics_ available [via an R package](https://cran.r-project.org/package=peopleanalyticsdata). McNulty explains:
        
        _For R and Python users, each of the data sets used in this book can be downloaded individually by following the code in each chapter. Alternatively for R users who intend to work through all of the chapters, all data sets can be loaded into an R session in advance by installing and loading the peopleanalyticsdata R package._
        
        This package brings the functionality of McNulty's R package to Python users. As an initial idea, following a `pip install ...` will make these data sets accessible for Python users. These data sets can also be used as an alternative to the very common public data sets (iris, wine quality, etc) available on UCI repository to understand the concepts of exploratory data analysis and predictive modeling.
        
        # Usage
        
        ```Python
        # import peopleanalyticsdata package
        import peopleanalyticsdata as pad
        import pandas as pd
        
        # see a list of data sets
        pad.list_sets()
        
        # pad.help(managers)
        
        # load data into a dataframe
        df = pad.managers()
        
        # find out more about a specific data set ('managers' example)
        pad.managers().info()
        ```
        # Data dictionary
        
        The data dictionary pertinent to all the data sets can be found [here](https://cran.r-project.org/web/packages/peopleanalyticsdata/peopleanalyticsdata.pdf).
        
        # LICENSE
        
        - MIT
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
