46. 團隊希望比較北美、歐洲、日本及其他地區的整體銷售比例,並使用
seaborn 套件以長條圖的形式進行可視化分析。請選出能正確顯示這些地
區銷售總額比例的程式碼。
(A)sns.countplot(x=["NA_Sales","EU_Sales","JP_Sales","Other_Sales"],
data=data);
(B)sns.lineplot(x="Platform",
y=["NA_Sales","EU_Sales","JP_Sales","Other_Sales"],
data=data);
(C)sns.barplot(x="variable", y="value",
data=pd.melt(data,
value_vars=["NA_Sales","EU_Sales","JP_Sales","Other_Sales"]),
estimator=sum);
(D)sns.histplot(data[["NA_Sales","EU_Sales","JP_Sales","Other_Sales"]])
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統計: A(0), B(0), C(2), D(0), E(0) #3773849
統計: A(0), B(0), C(2), D(0), E(0) #3773849