Question

In pandas which method is used to calculate mean, median and other summary statistics for numerical data in columns? (A) sort_values() (B) melt 0 (C) describe () (C) pivot_table 0

   In pandas which method is used to calculate mean, median and other summary statistics for numerical data in columns?
(A) sort_values()
(B) melt 0
(C) describe ()
(C) pivot_table 0

CUET (UG) Question Bank Chapter-wise and Topic-wise General Test | For 2024 Exam

CUET (UG) Question Bank Chapter-wise and Topic-wise General Test | For 2024 Exam

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In pandas which method is used to calculate mean, median and other summary statistics for numerical data in columns? (A) sort_values() (B) melt 0 (C) describe () (C) pivot_table 0

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Key Concepts

describe() Method

The describe() method is a built-in function in pandas that generates a table of summary statistics for numerical columns in a DataFrame, including count, mean, standard deviation, min, max, and quartile values, thereby providing a quick overview of the dataset's distribution.

Summary Statistics

Summary statistics refer to numerical descriptors that summarize the central tendencies, dispersion, and distribution of data, such as mean, median, standard deviation, and percentiles, which help in understanding the overall characteristics of the dataset.

DataFrame

A DataFrame is a two-dimensional, size-mutable, and heterogeneous tabular data structure provided by pandas, which facilitates the organization, manipulation, and analysis of data in rows and columns.

Pandas

Pandas is a powerful Python library designed for data manipulation and analysis, offering flexible data structures like DataFrame and Series to efficiently work with structured data.

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