[data science]seaborn-데이터 분포 시각화

덴장·2026년 4월 18일

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  • stripplot
sbn.stripplot(data=df, x='month',y='total')

sbn.stripplot(data=df, x='month',y='total', hue='workingday')

  • swarmplot - 작은 데이터셋을 분석할 떄 추천
sbn.swarmplot(data=df, x='month',y='total', hue='workingday')

  • boxplot
sbn.boxplot(data=df, x='day_of_week',y='registered')

sbn.boxplot(data=df, x='day_of_week',y='registered',order=['MON','TUE','WED','THU','FRI','SAT'])

  • violinplot
sbn.violinplot(data=df, x='day_of_week',y='registered',order=['MON','TUE','WED','THU','FRI','SAT', 'SUN'])

  • histplot
sbn.histplot(data=df, x='registered')

sbn.histplot(data=df, y='registered')

sbn.histplot(data=df, x='registered', bins=10 ,hue='workingday')


sbn.histplot(data=df, x='registered', bins=10 ,hue='workingday', multiple='stack')

  • kdeplot
sbn.kdeplot(data=df, x='registered', bw_method=2)

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