Metadata-Version: 2.1
Name: filter_pyspark
Version: 0.0.2
Summary: Filter data in pyspark dataframe
Home-page: UNKNOWN
Author-email: ranjitmaity95@gmail.com
License: UNKNOWN
Description: 
        # ranjit
        With This Library  You can do the EDA(Exploroty data analysis)
        
        
        
        ## version
        0.0.1
        ## Authors
        
        - [@RANJIT_MAITY](https://www.linkedin.com/in/ranjit-maity-75204a131/)
        
        
        ## Reales Date 
         13-02-2022
         
         
        
        
        ## Badges
        
        [![MIT License](https://img.shields.io/apm/l/atomic-design-ui.svg?)](https://github.com/tterb/atomic-design-ui/blob/master/LICENSEs)
        [![GPLv3 License](https://img.shields.io/badge/License-GPL%20v3-yellow.svg)](https://opensource.org/licenses/)
        [![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0)
        
        
        ## ðŸš€ About Me
        I Am Ranjit From INDIA, a Certified Data scientist , Data Engineer by professional  with hands-on experience of more than 1year and 2months ,on ML> NLP> Data mining > Neural Networks > ModeL Deployment>ETL.
         Give me raw data and I'll return you insights, problems to be rectified and enhancements to achieve the target. I am always on the lookout for new projects to work And 
        Am Always Happy â˜» To Play With Data
        
        
        ## ðŸ”— Links
        
        [![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/ranjit-maity-75204a131/)
        [![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/ranjitmaity95)
        
        
        ## Demo
        
        - YOU HAVE TO CALL THE EDA finction and pass your DATAFRANE(DF).
            cool SEAT BACK RELAX.
        
        
        
        
        ## Usage/Examples
        
        ```python
        ! pip install ranjit
        ```
        ```python
        import ranjit as rn
        ```
        ```python
        result=rn.EDA(df)
        #Your Dataframe
        #It will return a Dataframe 
        
        ```
        ```python
        result
        #to look to the result dataframe
        
        ```
Platform: UNKNOWN
Description-Content-Type: text/markdown
