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Exploratory Data Analysis Automation using IBM-RPA

EDA: Exploratory Data Analysis refers to the critical process of performing initial investigations on data so as to discover patterns,to spot anomalies,to test hypothesis and to check assumptions with the help of summary statistics and graphical representations.

RPA: Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software.

Requirements:

  1. Pandas Profiling -> pip install pandas-profiling[notebook]
  2. DataCleaner -> pip install datacleaner
  3. IBM RPA Studio

NOTE: Data Cleaning process used here might not be accurate.The Main purpose is to automate the process of Data analysis and Data cleaning with the help of IBM RPA studio.There are various auto cleaning libraries which are effective and can be used.

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