What is the primary purpose of using aggregating statistics in data analysis?
Python for Data Analysis: Step-By-Step with Projects - Aggregating Statistics

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To clean and preprocess data
To create data models
To summarize and understand data
To visualize data trends
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method would you use to find the average value of a numerical column in a DataFrame?
count()
mode()
sum()
mean()
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the 'std()' method calculate for a numerical column?
The sum of values
The standard deviation
The maximum value
The median value
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is used to find the most frequently occurring value in a categorical column?
sum()
count()
mode()
mean()
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the 'describe()' method return for categorical data?
Standard deviation and variance
Min, max, and range
Count, unique, top, and frequency
Mean, median, and mode
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you customize the aggregation of data using the 'agg()' method?
By using a list of function names
By using a single function name
By using a dictionary of column-function pairs
Both B and C
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of defining a custom function for aggregation?
To visualize data
To sort data
To calculate a statistic not available in pandas
To clean data
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