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NEW QUESTION: 1
You have a Python data frame named salesData in the following format:
The data frame must be unpivoted to a long data format as follows:
You need to use the pandas.melt() function in Python to perform the transformation.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: dataFrame
Syntax: pandas.melt(frame, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level=None)[source] Where frame is a DataFrame Box 2: shop Paramter id_vars id_vars : tuple, list, or ndarray, optional Column(s) to use as identifier variables.
Box 3: ['2017','2018']
value_vars : tuple, list, or ndarray, optional
Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.
Example:
df = pd.DataFrame({'A': {0: 'a', 1: 'b', 2: 'c'},
'B': {0: 1, 1: 3, 2: 5},
'C': {0: 2, 1: 4, 2: 6}})
pd.melt(df, id_vars=['A'], value_vars=['B', 'C'])
A variable value
0 a B 1
1 b B 3
2 c B 5
3 a C 2
4 b C 4
5 c C 6
References:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.melt.html

NEW QUESTION: 2

A. Option B
B. Option A
C. Option D
D. Option C
Answer: B

NEW QUESTION: 3
A customer purchased and x3650 M4 server and requires the ability to remotely power on and off the server. Which of the following would the customer use to remotely power the server on and off?
A. Integrated Management Module (IMM)
B. Advanced Management Module (AMM)
C. UEFI
D. Chassis Management Module (CMM)
Answer: A

NEW QUESTION: 4
다음 중 조직의 인터넷 보안 정책과 관련하여 감사자가 가장 우려하는 문제는 무엇입니까?
A. 거부 및 서스펜스 항목 컨트롤.
B. 시스템 효율.
C. 감사 자 문서.
D. 데이터 무결성.
Answer: D
Explanation:
Controls are intended to ensure the integrity, confidentiality, and availability of information. An auditor relies on the integrity of the system's data and programs in making critical decisions throughout the audit process.

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