![]() Let’s take the example of a survey in which a particular form is filled by a number of people. So along with handling data and cleaning it, there is also the aspect of how to run a python program which will also be covered in the subsequent sections, so continue reading. Yes, there are Python programs to be written and executed to create data sets that are standardized and uniform to be further used by tools of data analytics. However, what’s interesting here is that data cleaning is now days being done with tools and languages like Python. In the technically advanced world of today’s, that talks all about machine learning are factually dependent on the accuracy of the data and hence becomes an important parameter to be met. “Data scientists claim that 80% of their time is consumed by the hectic process of data cleaning.” It is a process for ensuring dependability and increasing the accuracy of the data which has been collected. This does not mean that data cleaning is about the removal of certain kinds of irrelevant data. The process of removing the kind of data that is incorrect or incomplete or duplicate and can affect the end results of the analysis is called data cleaning. Just as the two words suggest, data that has been collected for analysis is cleaned to get the relevant information out of it. The meaning is rather simple than you must be thinking. The process of Data Cleaning in Python for Beginners with an Example.How to run a Python Program in Windows?.What is Python and why a Python program for data cleaning?.
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