September 2019
Beginner to intermediate
208 pages
3h 17m
English
Data Cleaning and Inspection is the next important part of the data analysis pipeline. It implies that before starting analysis, visualization or machine learning and its insights, you should have cleaned any data that has to be analyzed. Though Machine Learning, Exploratory Data Analysis and Data Visualization take up more time in analytical education, in an actual data science project much more time is spent in data inspection and cleaning.
Data inspection helps us determine that data import has been executed correctly, that variables are in same length (rows) and breadth (columns) and that variables (columns) are in the same format as expected.
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