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A comma-separated value (CSV) file has four fields labeled name, birth year, gender, and graduation year. What line of code wou...Question
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 = '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")
catplot(x = 'gender',col = "birthYear", data = data, hue = 'gender', kind = "count")
catplot(x = 'gender',col = "birthYear", data = data, hue = 'birthYear', kind = "count")
Responses
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")
catplot(x = 'gender',col = "birthYear", data = data, hue = 'gender', kind = "count")
catplot(x = 'gender',col = "birthYear", data = data, hue = 'birthYear', kind = "count")
Answers
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 option uses 'birthYear' on the x-axis and differentiates between genders using colors via the `hue` parameter, which is what you need for the visualization described.
```python
catplot(x = 'birthYear', col = "gender", data = data, hue = 'gender', kind = "count")
```
This option uses 'birthYear' on the x-axis and differentiates between genders using colors via the `hue` parameter, which is what you need for the visualization described.
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