week 5 at TU München

Flashcards and summaries for week 5 at the TU München

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Exemplary flashcards for week 5 at the TU München on StudySmarter:

When thinking about data visualization, what element is critical in making you value the visualization?

Exemplary flashcards for week 5 at the TU München on StudySmarter:

You are given a data set that contains crime reports for different neighborhoods in New York City and told to analyze it. Would you consider this a declarative or explorative example?

Exemplary flashcards for week 5 at the TU München on StudySmarter:

Which is an example of conceptually driven data visualization?

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Exemplary flashcards for week 5 at the TU München on StudySmarter:

Which is NOT a quality of good data visualization according to Andy Kirk?


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What 2 things are most important in creating elegant visualizations?

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What is the first step with any dataset?

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What is the result of the following line of code?

import numpy as np
np.unique([1,1,3,4,2,3,3])

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Learning-Assistant with spaced repetition algorithm

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Exemplary flashcards for week 5 at the TU München on StudySmarter:

Which command allows you to edit the view of the axes on a matlibplot plot?

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When is it NOT acceptable to avoid axis labels in plots using matlibplot.

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As an example, let’s consider a data set consisting of two variables, one representing how long students spend studying and the other representing their average test scores. Assuming students study effectively, how would you expect these two variables to be correlated?

Exemplary flashcards for week 5 at the TU München on StudySmarter:

Which graphing method should you use to visualize the correlation between two arrays?

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Learning-Assistant with spaced repetition algorithm

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Exemplary flashcards for week 5 at the TU München on StudySmarter:

Which of the following does a boxplot NOT show you?

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Exemplary flashcards for week 5 at the TU München on StudySmarter:

week 5

When thinking about data visualization, what element is critical in making you value the visualization?

Context

week 5

You are given a data set that contains crime reports for different neighborhoods in New York City and told to analyze it. Would you consider this a declarative or explorative example?

Explorative

week 5

Which is an example of conceptually driven data visualization?

Physicists visualize the well-understood relationship between force and acceleration to teach introductory physics students.

week 5

Which is NOT a quality of good data visualization according to Andy Kirk?


Meaningful

week 5

What 2 things are most important in creating elegant visualizations?


Focus on what is relevant.

week 5

What is the first step with any dataset?

Perform an initial exploration.

week 5

What is the result of the following line of code?

import numpy as np
np.unique([1,1,3,4,2,3,3])

array([1,2,3,4])

week 5

Which command allows you to edit the view of the axes on a matlibplot plot?

axis()

week 5

When is it NOT acceptable to avoid axis labels in plots using matlibplot.

When you are presenting non-intuitive results to another person.

week 5

As an example, let’s consider a data set consisting of two variables, one representing how long students spend studying and the other representing their average test scores. Assuming students study effectively, how would you expect these two variables to be correlated?


Positively correlated because I would expect the test scores to go up if they spend more time studying.

week 5

Which graphing method should you use to visualize the correlation between two arrays?

Scatter plot

week 5

Which of the following does a boxplot NOT show you?

Mean

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