0
0
Data Analysis Pythondata~5 mins

Categorical plots (boxplot, violinplot) in Data Analysis Python - Cheat Sheet & Quick Revision

Choose your learning style9 modes available
Recall & Review
beginner
What is a boxplot used for in data analysis?
A boxplot shows the distribution of a dataset by displaying its median, quartiles, and potential outliers. It helps compare groups by visualizing spread and central tendency.
Click to reveal answer
intermediate
What does a violinplot add to the information shown by a boxplot?
A violinplot shows the same summary statistics as a boxplot but also displays the data's density distribution, giving a fuller picture of how data points are spread.
Click to reveal answer
beginner
Which Python library is commonly used to create boxplots and violinplots?
Seaborn is a popular Python library that makes it easy to create boxplots and violinplots with simple commands and good default styles.
Click to reveal answer
intermediate
In a boxplot, what do the whiskers represent?
Whiskers extend from the box to show the range of the data within 1.5 times the interquartile range from the quartiles. Points outside are considered outliers.
Click to reveal answer
intermediate
Why might you choose a violinplot over a boxplot?
Choose a violinplot when you want to see the shape of the data distribution, such as if it is bimodal or skewed, which a boxplot alone does not show.
Click to reveal answer
What does the thick line inside a boxplot represent?
AMean of the data
BMaximum value
CMedian of the data
DMinimum value
Which plot shows data density along with summary statistics?
AViolinplot
BHistogram
CBoxplot
DScatter plot
In seaborn, which function creates a boxplot?
Asns.histplot()
Bsns.violinplot()
Csns.scatterplot()
Dsns.boxplot()
What do outliers look like in a boxplot?
AThe box itself
BDots outside the whiskers
CThe median line
DThe whiskers
Which plot is better to understand if data is bimodal?
AViolinplot
BLine plot
CBar plot
DBoxplot
Explain the main differences between a boxplot and a violinplot.
Think about what extra information the violinplot provides beyond the boxplot.
You got /4 concepts.
    Describe how you would use seaborn to create a boxplot for comparing groups in a dataset.
    Remember the basic seaborn plotting steps and parameters.
    You got /4 concepts.