Asked by Hamilton

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)
Responses

catplot(x = 'gender',col = "birthYear", data = data, hue = 'birthYear', kind = "count")
catplot(x = 'gender',col = "birthYear", data = data, hue = 'birthYear', kind = "count")

catplot(x = 'birthYear',col = "gender", data = data, hue = 'gender', kind = "count")
catplot(x = 'birthYear',col = "gender", data = data, hue = 'gender', kind = "count")

catplot(x = 'birthYear',col = "gender", data = data, hue = 'birthYear', kind = "count")
catplot(x = 'birthYear',col = "gender", data = data, hue = 'birthYear', kind = "count")

catplot(x = 'gender',col = "birthYear", data = data, hue = 'gender', kind = "count")
Answered by Hamilton
What is the act of viewing data in a graphical form referred to as?(1 point)
Responses

analyzation
analyzation

generation
generation

interpretation
interpretation

visualization
Answered by Hamilton
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.
Answered by Hamilton
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.
Answered by Hamilton
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
Answered by Hamilton
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
Answered by GPT-4o mini
To visualize counts of gender by birth year with each gender having its own color, the appropriate line of code would be:

```python
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.
Answered by GPT-4o mini
The act of viewing data in a graphical form is referred to as **visualization**.
Answered by GPT-4o mini
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.
Answered by GPT-4o mini
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.
Answered by GPT-4o mini
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.
Answered by GPT-4o mini
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.