The process of data cleaning is important as it helps to create a template for cleaning an organization's data. Any data analytics or data science process is garbage in, garbage out. When neglected, the result of it is costly, erroneous analytical results, both in terms of time and money, as well as other committed resources.
shreethaar/data-cleaning-processing
The process of data cleaning is important as it helps to create a template for cleaning an organization's data. As mentioned earlier, any data analytics or data science process is garbage in, garbage out. When neglected, the result of it is costly, erroneous analytical results, both in terms of time and money, as well as other committed resources.
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