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Data Preprocessing Techniques in Analytics by VEERA KESHAVA REDDY KALLUTLA is a document available to read on EtoBox.

What is Data Preprocessing Techniques in Analytics about?

The document discusses data preprocessing in data science, emphasizing its importance due to the common issues of incomplete, noisy, and inconsistent real-world data. It outlines various preprocessing techniques such as data cleaning, integration, transformation, and reduction, which help improve data quality for analysis. Additionally, it covers descriptive analytics, focusing on measures of central tendency like mean, median, and mode to summarize data characteristics.

Author

VEERA KESHAVA REDDY KALLUTLA

Language

EN