DP-100 Exam Dumps | You download a .csv file from a notebook in an Azure Machine Learning workspace to a data/sample.csv

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Question 38

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Question 38/178

You download a .csv file from a notebook in an Azure Machine Learning workspace to a data/sample.csv folder on a compute instance. The file contains 10,000 records. You must generate the summary statistics for the data in the file. The statistics must include the following for each numerical column:
* number of non-empty values
* average value
* standard deviation
* minimum and maximum values
* 25th. 50th. and 75th percentiles
You need to complete the Python code that will generate the summary statistics.
Which code segments should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Recent Comments (The most recent comments are at the top.)

efor - Oct 24, 2024

To generate summary statistics for a CSV file that includes the specified values (number of non-empty values, average, standard deviation, minimum, maximum, and percentiles), you should use Pandas because it provides built-in methods to handle CSV files and easily compute these statistics.

Here’s the Python code you would use:

import pandas as pd

# Load the CSV file
df = pd.read_csv('data/sample.csv')

# Generate summary statistics
summary = df.describe()

print(summary)
Explanation:
pandas: This library is essential for loading the CSV file and performing operations on the dataset.
describe: The describe() method in Pandas automatically computes the summary statistics for each numerical column, including count (non-empty values), mean (average), standard deviation, min, max, and the 25th, 50th (median), and 75th percentiles.
So, the correct selections are:

pandas (for loading the data and performing analysis)
describe (for generating the summary statistics)

Zenagebrel - Mar 31, 2024

pandas
describe

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