Metadata-Version: 2.1
Name: take-satisfaction
Version: 1.0.0
Summary: Generate a rate between 0 and 1 for Consumer Satisfaction Survey.
Home-page: UNKNOWN
Author: squad XD
Author-email: anaytics.ped@take.net
Maintainer: Take - D&A
Maintainer-email: anaytics.ped@take.net
License: MIT License
Description: # Take Satisfaction
        This package proposes to offer a rate that represents the customer satisfaction research from the bot.
        
        The proposal converts the Customer Satifaction Survey (CSS) to a normalized rate between 0 to 1. The normalized value alow the comparasion of CSS from differents bot that have differents scales types and ranges.
        
        # Installation
        Use [pip](https://pypi.org/project/take-satisfaction/) to install:
        
        ```shell script
        pip install take-satisfaction
        ```
        
        # Usage
        
        ## Using a **numeric scale** Consumer Satisfaction Survey:
        
        ```python
        import pandas as pd
        import take_satisfaction as ts
        
        pdf = pd.DataFrame({"Action": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
                            "amount": [0, 1, 2, 0, 0, 10, 0, 35, 200, 360, 3330]})
        
        result = ts.run(dataframe=pdf,
                        scale_column="Action",
                        amount_column="amount")
        
        print(result["rate"])
        ```
        
        Which will result in `0.9761300152361605`.
        
        ## Using a **textual scale** Consumer Satisfaction Survey:
        
        ```python
        import pandas as pd
        import take_satisfaction as ts
        
        pdf = pd.DataFrame(
            {"Action": ["PÃ©ssimo", "Ruim", "OK", "Ã“timo", "Excelente"],
            "amount": [0, 1, 35, 350, 3330]})
        css_column = "Action"
        amount = "amount"
        
        result = ts.run(dataframe=pdf,
                        scale_column=css_column,
                        amount_column=amount)
        
        print(result["rate"])
        ```
        
        Which will result in `0.9715419806243273`.
        
        
        # Author
        Take Data&Analytics Research - squad XD.
        
Keywords: BLiP,score,satisfaction
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
