Data Analytics using Python Visualizations - Plotting 2D Histograms

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Information Technology (IT), Architecture, Social Studies
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary difference between univariate and 2D histograms?
2D histograms represent data with two attributes.
Univariate histograms use color scales.
Univariate histograms are plotted on a 3D plane.
2D histograms do not use bins.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a histogram, what does a 'bin' represent?
A single data point.
A range of values.
A color scale.
A 3D plot.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How are bins defined in a 2D histogram?
Only along the X-axis.
Only along the Y-axis.
Along both X and Y axes.
Using a 3D grid.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the color scale in a 2D histogram indicate?
The variance of data.
The mean value of data.
The number of bins.
The density of data points.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function is used to generate sample data for 2D histograms in Numpy?
random.normal
multivariate.normal
hist2D
hexbin
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of transposing the output in the multivariate normal function?
To apply a color scale.
To separate the data into X and Y arrays.
To reduce the number of bins.
To increase the number of samples.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the covariance matrix in the multivariate normal function ensure?
The data points are independent.
The data points have a relationship.
The data points are uniformly distributed.
The data points are plotted in 3D.
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