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NEW QUESTION: 1
Plan-Do-Check-Actサイクルに関連付けられている名前は何ですか？
A. シューハートデミング
B. Delphi
C. パレート
D. 石川
Answer: A

NEW QUESTION: 2
Siehe Ausstellung.

Ein Router hat diese fünf Routen aus verschiedenen Routing-Informationsquellen reserviert.
Welche zwei Routen installiert der Router in seiner Routing-Tabelle? (Wähle zwei)
A. OSPF-Route 10.0.0.0/30
B. RIP-Route 10.0.0.0/30
C. iBGP-Route 10.0.0.0/30
D. EIGRP-Route 10.0.0.1/32
E. OSPF-Route 10.0.0.0/16
Answer: B,D

NEW QUESTION: 3







A. Option A
B. Option D
C. Option C
D. Option B
Answer: D
Explanation:
instanceof
The instanceof operator tests whether an object has in its prototype chain the prototype property of a constructor.
The instanceof operator tests presence of constructor.prototype in object prototype chain.
Example::
// defining constructors
function C(){}
function D(){}
var o = new C();
// true, because: Object.getPrototypeOf(o) === C.prototype
o instanceof C;
// false, because D.prototype is nowhere in o's prototype chain
o instanceof D;
Reference: instanceof

NEW QUESTION: 4
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