Which of the following best describes the main purpose of Exploratory Data Analysis (EDA) in data analysis?
EDA is an essential step in data analysis, as it involves analyzing data to reveal its main characteristics, patterns, anomalies, and relationships before moving on to complex modeling. It is particularly valuable because it allows analysts to gain insights and understand the data's distribution, which informs the subsequent steps in the data science workflow. Through techniques like visualizations (histograms, scatter plots) and summary statistics, EDA helps highlight trends and outliers, enabling better decision-making in model selection and feature engineering. Option A is incorrect because EDA is exploratory, not confirmatory; it does not "prove" hypotheses but rather helps formulate them. Option B is incorrect since EDA involves understanding data characteristics, not just organizing it into categories. Option D is incorrect because EDA complements, but does not replace, machine learning models. Option E is incorrect as while EDA involves some cleaning, its primary purpose is to explore data characteristics.
The _________ property of the element is a whole number.
Which of the following is the most reactive element in the Periodic table?
Which substance is commonly used as a thermometric material in thermometers due to its expansive properties under temperature changes?
What is the primary purpose of using bleaching powder in drinking water?
Litmus paper, used to test pH levels, is derived from which organism?
What is the primary use of calcium carbonate in antacid tablets?
Formula of ‘Quick Lime’ is __________
What are antibiotics?
What term describes the enthalpy change when a substance transitions from solid to liquid at its melting point?
Which gas is most abundant in the Earth's atmosphere.