7.Question 7Does this code generate a 3D scatter plot?567891011121314 x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]y = [5, 6, 2, 3, 13, 4, 1, 2, 4, 8]z = [2, 3, 3, 3, 5, 7, 9, 11, 9, 10] ax.scatter(x, y, z, c = 'b', s = 1000) ax.set_xlabel('X Label')ax.set_ylabel('Y Label')ax.set_zlabel('Z Label')1 pointTrueFalse8.Question 8What will this code generate?12plt.figure(figsize = (10,10))sns.countplot(df_cancer['target'], label = "Count");1 pointCount plot A plot that shows how many samples belong to class #0 and #1Scatterplot9.Question 9What will this code generate?12plt.figure(figsize = (30, 30)) sns.heatmap(df_cancer.corr(), annot = True) 1 pointCorrelation plotHeatmap showing correlations between features with annotationsHeatmap showing correlations between features without annotations
Question
7.Question 7Does this code generate a 3D scatter plot?567891011121314 x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]y = [5, 6, 2, 3, 13, 4, 1, 2, 4, 8]z = [2, 3, 3, 3, 5, 7, 9, 11, 9, 10] ax.scatter(x, y, z, c = 'b', s = 1000) ax.set_xlabel('X Label')ax.set_ylabel('Y Label')ax.set_zlabel('Z Label')1 pointTrueFalse8.Question 8What will this code generate?12plt.figure(figsize = (10,10))sns.countplot(df_cancer['target'], label = "Count");1 pointCount plot A plot that shows how many samples belong to class #0 and #1Scatterplot9.Question 9What will this code generate?12plt.figure(figsize = (30, 30)) sns.heatmap(df_cancer.corr(), annot = True) 1 pointCorrelation plotHeatmap showing correlations between features with annotationsHeatmap showing correlations between features without annotations
Solution
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The code does generate a 3D scatter plot. So, the answer is True.
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The code will generate a Count plot. It shows how many samples belong to class #0 and #1.
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The code will generate a Heatmap showing correlations between features with annotations.
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