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Data cleaning focuses on resolving inconsistencies, filling missing values, removing duplicates, and handling outliers to ensure the dataset is accurate, complete, and reliable. High-quality data is critical for generating meaningful insights and avoiding analytical errors. For example, incorrect or incomplete customer information in a sales dataset could lead to flawed marketing strategies. Techniques such as imputation, deduplication, and outlier treatment ensure the dataset is ready for analysis. Clean data enables better decision-making and enhances the credibility of data-driven insights. Why Other Options Are Incorrect: • A: Data transformation involves reformatting or scaling data, not cleaning it. • C: Cleaning prepares data for visualization but is not specifically aimed at visualization. • D: Standardization may occur during cleaning but is not its sole purpose. • E: While validation is related to accuracy, cleaning focuses more broadly on quality improvement.
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Something that happens often or that lasts for a ...
Abjure
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Plants of a particular region
In the questions given below out of five alternatives, choose the one which can be substituted for the given word/sentence.
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a condition, event, or person that is the cause of an important change
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a short, pithy statement expressing a general truth or rule of conduct.
Among the given alternatives, find the word which can be the best substitute for the given sentence.
Honor or fame given for some achievement
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Newton found out that the force of gravitation ...
Directions: in each of the following questions, choose the correct alternative which can be substituted for the below given word/ phrase of words.
...Select the most appropriate option that can substitute the bold word in the given sentence.
Besides generating revenue, tourism brings a break fr...