Which of the following would return the number of people whose "Age"is over 18 and whose "Height" is under 72 from data frame df?   df.loc[df["Age"] > 18 and df["Height"] < 72, "Name"].value_counts()   df.loc[(df["Age"] > 18) & (df["Height"] < 72), "Name"].count()   df.loc[(df["Age"] > 18) & (df["Height"] < 72), "Name"].value_counts()   df.loc[(df["Age"] > 18) and (df["Height"] < 72), "Name"].count()

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Which of the following would return the number of people whose "Age"is over 18 and whose "Height" is under 72 from data frame df?

 
df.loc[df["Age"] > 18 and df["Height"] < 72, "Name"].value_counts()
 
df.loc[(df["Age"] > 18) & (df["Height"] < 72), "Name"].count()
 
df.loc[(df["Age"] > 18) & (df["Height"] < 72), "Name"].value_counts()
 
df.loc[(df["Age"] > 18) and (df["Height"] < 72), "Name"].count()
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Pandas is a Python library that provides high-performance data structures and data analysis tools for manipulating numerical tables and time series. It allows for data manipulation, cleaning, and analysis in an easy-to-use, intuitive way. It works with data stored in Series, DataFrames, and Panel objects. Pandas also provide tools for working with missing values, grouping, reshaping, merging, joining, and other data manipulation tasks. It is an essential tool for data scientists and analysts.

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