A comma-separated value (CSV) file has four fields labeled name, birth year, gender, and graduation year. What line of code would be appropriate to visualize counts of gender by birthYear with each gender having its own color?(1 point)
To visualize counts of gender by birth year with each gender having its own color, the appropriate line of code would be:
catplot(x = 'birthYear', col = "gender", data = data, hue = 'gender', kind = "count")
This code uses birthYear on the x-axis, separates the data into columns by gender, colors the bars by gender, and counts the occurrences.
What is the act of viewing data in a graphical form referred to as?(1 point)
Responses
analyzation
analyzation
generation
generation
interpretation
interpretation
visualization
The act of viewing data in a graphical form is referred to as visualization.
How can we visualize datasets with three variables that are of focus?(1 point)
Responses
We can perform partial visualization on the dataset.
We can perform partial visualization on the dataset.
We cannot generate visualizations based on three variables.
We cannot generate visualizations based on three variables.
We can do it by transforming the data into two variables.
We can do it by transforming the data into two variables.
We need to resort to a three-dimensional visualization like 3D plotting.
To visualize datasets with three variables that are of focus, the correct response is:
We need to resort to a three-dimensional visualization like 3D plotting.
This allows for the representation of relationships among three variables simultaneously.
Is data visualization a necessary part of data science nowadays?(1 point)
Responses
Yes, data visualization makes the data easier to store.
Yes, data visualization makes the data easier to store.
No, data visualization is a part of testing instead. It helps verify the data.
No, data visualization is a part of testing instead. It helps verify the data.
No, data visualization can be exempted, and analysts could do just fine without it.
No, data visualization can be exempted, and analysts could do just fine without it.
Yes, data visualization has become a necessary part of data science.
The correct response is:
Yes, data visualization has become a necessary part of data science.
Data visualization is essential for understanding complex data, communicating insights effectively, and supporting decision-making processes.
Which of the following concerns need to be considered when choosing a modeling tool?(1 point)
Responses
the syntax and the price
the syntax and the price
the price and the software security
the price and the software security
the capabilities and the price
the capabilities and the price
the syntax and the software securit
When choosing a modeling tool, the concerns that need to be considered include:
the capabilities and the price
This ensures that the tool not only meets the required functionality but also fits within budget constraints.
Which of the following concerns need to be considered when choosing a modeling tool?(1 point)
Responses
the syntax and the price
the syntax and the price
the price and the software security
the price and the software security
the capabilities and the price
the capabilities and the price
the syntax and the software security
When choosing a modeling tool, the most relevant concerns to consider are:
the capabilities and the price
This ensures that the tool can effectively meet the modeling needs while also being within budget.
1 answer