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Deep Dive into the seaborn Visualization
Deep Dive into the seaborn Visualization
Stripplot
In statistics, a categorical variable is a variable that can take on one of a limited and usually fixed number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.
A stripplot is a single-axis scatter plot that is used to visualize the distribution of many individual one-dimensional values. The values are plotted as dots along one unique axis, and the dots with the same value can overlap.
Swipe to start coding
- Set the
'whitegrid'style with the'aliceblue'axes.facecolor. - Create the
stripplotusing theseabornlibrary:
- Set the
xparameter equals the'day'; - Set the
yparameter equals the'total_bill'; - Set the
hueparameter equals the'smoker'; - Set the
sizeparameter equals20; - Set the
'crest'palette; - Set the
'D'marker; - Set the
alphaparameter equals0.25.
Solution
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousMerci pour vos commentaires !
Stripplot
In statistics, a categorical variable is a variable that can take on one of a limited and usually fixed number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.
A stripplot is a single-axis scatter plot that is used to visualize the distribution of many individual one-dimensional values. The values are plotted as dots along one unique axis, and the dots with the same value can overlap.
Swipe to start coding
- Set the
'whitegrid'style with the'aliceblue'axes.facecolor. - Create the
stripplotusing theseabornlibrary:
- Set the
xparameter equals the'day'; - Set the
yparameter equals the'total_bill'; - Set the
hueparameter equals the'smoker'; - Set the
sizeparameter equals20; - Set the
'crest'palette; - Set the
'D'marker; - Set the
alphaparameter equals0.25.
Solution
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousMerci pour vos commentaires !
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous