Algorithm Data Analysis Tools Data Cleanse Data Validation 
Knowledge Hut
JANUARY 25, 2024
Let's dive into the top data cleaning techniques and best practices for the future – no mess, no fuss, just pure data goodness! What is Data Cleaning? It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data. Why Is Data Cleaning So Important?
ProjectPro
DECEMBER 22, 2016
Data analysis involves data cleaning. Results of data mining are not always easy to interpret. Data analysts interpret the results and convey the to the stakeholders. Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.
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