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Data cleaning is the process dedicated to removing inaccuracies, errors, and inconsistencies within a dataset to enhance its reliability. This step is crucial in preparing the data for accurate analysis by addressing issues like missing values, outliers, or erroneous entries. A clean dataset ensures that subsequent analyses and models yield trustworthy results, enabling sound decision-making. Without rigorous data cleaning, insights derived from the data could be flawed, potentially leading to misguided actions. Data cleaning is thus foundational to the integrity of the analysis process. The other options are incorrect because: • Data Modeling involves creating frameworks for data relationships, not directly addressing data quality. • Data Collection pertains to gathering raw data but not its correction. • Data Interpretation is the step of making sense of the analyzed data rather than improving its quality. • Data Presentation involves displaying results, assuming that the dataset has already been cleaned.
Which nation was India's largest trading partner from January to July 2024?
Which organization has been designated as the Nodal Centre for ISRO's START programme?
The Ministry of Women and Child Development has released a centrally-sponsored scheme_____for the children to secure a healthy and happy childhood for e...
Who is appointed as the Ambassador of Japan to India?
Recently a new species of spider naming Pseudomogrus Sudhii has been discovered in which state of India?
Who received the 'Nritya Kalanidhi' award at the 17th Dance Festival of the Music Academy in Chennai?
Where in Uttar Pradesh is Artificial Limbs Manufacturing Corporation situated?
Which state signed a MoU with 23 companies at the World Economic Forum meeting in Davos, Switzerland worth Rs 30,000 crore.
What is the capital of Haryana?
The 21st edition of bilateral naval Exercise Varuna began on 16th January, 2023 it is between India and which other country?