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Exploratory Data Analysis (EDA) is a foundational step in data analysis that enables analysts to uncover the structure, patterns, and relationships within the data. Through visualizations and descriptive statistics, EDA provides insights into the distribution of data, potential outliers, and correlations between variables. These insights are critical for determining the appropriate analysis approach or modeling technique. By examining data comprehensively, EDA facilitates hypothesis formation and guides subsequent data preprocessing, feature engineering, and model selection, enhancing the reliability of analytical outcomes. The other options are incorrect because: • Option 1 is incorrect as EDA does not predict outcomes; rather, it helps prepare and understand data for predictive modeling. • Option 2 is inaccurate since EDA supports data cleaning but does not automate it fully. • Option 4 is incorrect; EDA may reveal insights that prompt feature engineering. • Option 5 confuses EDA with data transformation processes like encoding categorical variables.
"What nutrient deficiency is responsible for interveinal chlorosis?"
Due to deficiency of Zn causing Khaira disease in the rice field, the disease caused on the rice field appears __ ?
In Western Himalayan Region, mean annual rainfall varies from _____
Given below are two statements one assertion and other reason:
Assertion : Drip irrigation is particularly suited for poor quality water.
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The species of Trichogramma used against yellow stem borer, Scirpophaga incertulus in rice is
Which test is used to test the significance OF THE DIFFERENCE BETWEEN TWO MEANS?
How many members are there in food authority
For long distance transportation musk melon should be harvested at _______ stage
The Indigenous Technical Knowledge (ITK) provides insight into:
A Chromosome with medium position of centromere is known as