The given plot is generated by the following code.plt.figure(figsize=(3,3))sns.heatmap(dataset.corr(), annot=True, cmap='jet')plt.show()What can you do to fix the plot so that you are able to see names of the attributes.You can increase the size of the plotYou should change the color of the plotThis problem cannot be fixed as there are too many items to show in this plotYou should use 'plt.display()' function

What will the following code generate?plt.figure(figsize = (10, 10))sns.heatmap(df.corr(), annot = True)A.Heatmap showing correlations between features with annotationsB.Heatmap showing correlations between features with annotations and color barC.Heatmap showing correlations between features without annotations

data = book_sales[['Time' , 'Hardcover']] #dataX = data.loc[:,['Time']] #eje XY = data.loc[:,'Hardcover'] #eje Yfig, ax = plt.subplots()ax.plot(X , Y, color= '0.75')ax = sns.regplot(x = 'Time', y = 'Hardcover', data = data, ci = None, color = 'skyblue')ax.scatter(X , Y, color = '0.25' )

labels = ['A', 'B', 'C', 'D']sizes = [15, 30, 45, 10]colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue']plt.figure(figsize=(6, 6))plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)plt.title('Pie Chart')plt.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.plt.show()

Which function is used to create a heatmap in Seaborn?1 pointsns.heatmap()sns.scatterplot()sns.lineplot()sns.barplot()

What is the function to give color to plot in seaborn?sns.swarmplot()color_palette()countplot()plt.show()