Dive into the 'Data Analytics Ultimate Quiz! Trivia' to test and enhance your knowledge in data science. Explore key skills, steps in data analysis, and the use of Python in data science, crucial for operational improvements and business gains.
Line chart
Pie chart
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True
False
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A1+A2+A3
=SUM(A1:A3)
SUM(A1,A2,A3)
=1+2+3
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1/2
4/6
3/2
5/6
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1/2
4/20
2/6
7/10
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Empirical
Mean
Continuous
Standard
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0
0.452
1.0001
20%
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One-dimensional
Two-dimensional
Three-dimensional
Four-dimensional
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1/3
3/4
2/6
2/5
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20
25
22
36
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Ruby
Java
Python
C++
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Raw data is original source of data
Preprocessed data is original source of data
Raw data is the data obtained after processing steps
None of the above
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Name box
Formula bar
Column heading
Row heading
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1/3
4/6
2/3
1/6
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22.5
26
25
24.3
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Descriptive
Predictive
Prescriptive
All the above
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5/10
85/200
70/200
120/200
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1/14
3/12
4/13
1/13
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Autofill
VLOOKUP
Data validation
Formula
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Mode
Median
Mean
Bayesian inference
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Statistics / Mathematics skills
Coding / Hacking skills
Domain Knowledge / Business Knowledge
All the above
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Data visualization
Communicating results
Decision making
All of the above
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Data Integration
Data Cleansing
Data Replication
All the above
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Pie chart
Pivot table
Formula
Combo chart
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EDA
Obtaining data
Cleaning data
Securing data
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Pivot table
VLOOKUP
Sparklines
Conditional formatting
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23.673
26.666
25.133
24.340
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4.934
3.241
51.64
5.164
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Box Plot
Scatter Plot
Correlation Plot
Parallel Coordinates Plot
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1/2
3/4
1/4
1
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25
23
48
24
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Bar Plot
Histogram
Box Plot
Line Graph
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Cumulative Frequency
Overlaying
Bar Plot
Frequency Polygon
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Mode
Median
Minimum
First quartile
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Bar chart
Line chart
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Variance
Standard deviation
Empirical mean
All of the Mentioned
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Plot are created with multiple functions only
Plots are created with both single and multiple function calls
Annotation in plot is not especially intuitive
None of the Mentioned
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To collect and archive exhaustive data sets from various source systems for corporate record keeping uses.
To mine and analyze large amounts of data to uncover information that can be leveraged for operational improvements and business gains.
To prepare data for analysts to use as part of analytics applications.
All the above
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Create reproducible code
Define the question
Challenge results
All the above
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Quiz Review Timeline (Updated): Mar 21, 2023 +
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