Metadata-Version: 2.1
Name: quickdataanalysis
Version: 0.0.6
Summary: Kick start your data analysis with these functions
Home-page: https://github.com/Santhoshkumard11/quickdataanalysis
Author: Santhoshkumard11
Maintainer: Santhoshkumard11
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
Requires-Dist: pandas (>=1.0.1)

# quick data analysis

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This packages allows you to kick start your data analysis and make faster insights of the data.

# Requirements
* Pandas >=1.0.1

## Documentation

## 1) Creating Dummies for columns

The create_dummies method will return dummies for the columns. For example you want to dummies for Gender column put the column name in a list and you will get the dataframe with the dummies.

       >>> df =  create_dummies(df_train,["sex"])
       >>> df
       male female
       0      1
       1      0
       1      0
       1      0

## 2) Counting the column values

The count_values method will return the number of values in the columns. For example you want to count the number of females.

    >>> column_value_count(df_train["female"],1,False)
      312

## ToDo

 - [ ] Add more method



All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome :)

Happy Coding!!


