Metadata-Version: 2.1
Name: pycomscore
Version: 0.0.2
Summary: This is a module that allows you to connect to the Comscore library developed by Annalect and obtain synthesized information
Home-page: UNKNOWN
Author: Data house CL
Author-email: data.analitica@omnicommediagroup.com
License: UNKNOWN
Description: # Marketing Science | Omnicom media group | Comscore Library
        
        Developed by the Omnicom Marketing Science team
        
        ## Introduction
        
        Comscore is a platform that allows us to know a little more about the behavior of users within the internet.
        
        Thanks to the help of the annalect teams, we have all the information available in our databases.
        
        For this reason, we generate a module that allows consulting the data without having to know SQL.
        
        You can run the different modules of the package through the following link: https://colab.research.google.com/drive/1DAQus4KWhL38OQeTMGLpCACMcmHi99Z9?usp=sharing
        
        However, if you know about python, this package allows you to further customize and standardize your queries, creating programs that execute them periodically.
        
        ``` python
        
        pip install pycomscore
        
        from pycomscore import comscore_omnicom_database
        coms_obj = comscore_omnicom_database(user = 'user', password = 'pass')
        
        ```
        
        Here are some examples of the first methods.
        
        ``` python
        
        dataframe_geo = coms_obj.demographics_by_web(country = 'mx', start_date = '2020-01-01', end_date = '2020-12-31', 
                                                    event_like = 'atv', 
                                                    domain = 'brp.com', 
                                                    saved = False, 
                                                    age_group = True,
                                                    ages_between = None, gender_between = None)
        dataframe_geo.head(15)
        
        # countries ['us','ar', 'au','br', 'ca', 'cl', 'co', 'hk', 'id', 'in', 'mx', 'my', 'nz', 'sg', 'tw']
        ```
        
        ``` python
        all_probabilities, short_frame_probabilities = coms_obj.bayesian_inference_over_sites(country = 'cl', 
                                                                                              domain = 'sodimac.cl', 
                                                                                              time_spent = 300, 
                                                                                              start_date = '2021-01-01',
                                                                                              end_date ='2021-05-01')
        short_frame_probabilities.head(15)
        
        ```
        
        If you have any advice, you can write to our team via email at data.analitica@omnicommediagroup.com
Keywords: python,omnicom,sql,comscore
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
