Seaborn and MatPlotLib

Question 1

Format a correlation matrix

Answer 1

DataFrame[[‘col1’, ‘col2’, …]].corr(numeric_only=True)

Question 2

What does a Boxplot tell you?

Answer 2

Identifies the Statistical 5, Min, Max, Quartiles and Outliers.

Question 3

What does KDE stand for?

Answer 3

Kernal Density …

Question 4

What does IQR stand for?

Answer 4

Inter-Quartile Range

Question 5

Calculate the whiskers in a numerical column

Answer 5

Min whisker = Q1-1.5IQR
Max whisker = Q3+1.5IQR

Question 6

What are the 3 missing value types and their acronyms?

Answer 6

Missing Completely at Random (MCAR)
Missing at Random (MAR)
Missing Not at Random (MNAR)

Question 7

Format a Joint Plot and identify what it’s best used for.

Answer 7

sns.jointplot(data=DataFrame, vals=list_columns)

Question 8

What are the functions that set labels and denominations for the x and y axis marks?

Answer 8

matplotlib.pyplot.xticks() and matplotlib.pyplot.yticks()
plt.xticks(<range_of_numeric_values>, <columns/tick_labels>, rotation=?)</range_of_numeric_values>

Question 9

What function would you use to display a heat/color map in matplotlib?

Answer 9

plt.imshow()
plt.imshow(X=input_data, cmap=color_map, interpolation=<method_used_to_display_an_image>)</method_used_to_display_an_image>

Question 10

How do you display a plot with matplotlib

Answer 10

plt.show()

Question 11

How do you display a colorbar

Answer 11

plt.colorbar()