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Generate automated data dictionary from files and databases

Project description

DataDictionary

AutoDataDictionary generates data dictionary from source files and database tables including:

  • Column Name
  • Sample Value
  • Source File Name
  • Non Null Values Count
  • Unique Values Count
  • Data Type
  • Unique Values List

How to use

Generate data dictionary from db

import autodatadictionary as ad

ad.to_dictionary_from_db(
     sql_alchemy_connection_string='postgresql://username:password@domain:5432/db',
     schema='schema')

Generate data dictionary from csv files

import autodatadictionary as ad

ad.to_dictionary_from_file(['/path/data1.csv', '/path/data2.csv', '/path/dataN.csv'], sep=',')

Generate data dictionary from dataframe

import autodatadictionary as ad

titanic = pd.read_csv('https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv')
ad.to_dictionary_from_dataframe([titanic])
ad.to_dictionary_from_dataframe(dataframes=[titanic], source_names=['titanic_dataframe'], source=True)

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