AICE Associate - 데이터 시각화
라이브러리import matplotlib.pyplot as pltimport matplotlib.font_manager as fmplt.rc('font', family ='NanumGothicCoding') seaborn 활용해서 그리기import seaborn as sb#카운트플롯sb.countplot(data=df, x='컬럼명') #조인트플롯sb.jointplot(data=df, x=’컬럼1’, y=’컬럼2’)#바플롯sb.barplot(data=df, x='칼럼1', y='칼럼2')#히스토그램sb.histplot(data=df, x='칼럼1')sb.histplot(data=df, x='칼럼1', hue='칼럼2')#히스토그램을 곡선으로 그리기sb.kdeplot(data=df, x='칼럼1', hu..
2024. 6. 19.