Basic Visualization Tools

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Question 1

Area plots are unstacked by default.

• True.
• False.

Correct.

Question 2

The following code will create a histogram of a pandas series, series_data, and align the bin edges with the horizontal tick marks.

count, bin_edges = np.histogram(series_data)
series_data.plot(kind='hist', xticks = count, bin_edges)

• True.
• False.

Correct.

Question 3

The following code will create a horizontal bar chart of the data in a pandas dataframe, question.

question.plot(type='bar', rot=90)

• True.
• False.

Correct.

Specialized Visualization Tools

Box Plots

• Minimum (Q0 or 0th percentile): the lowest data point excluding any outliers
• First quartile (Q1 or 25th percentile): also known as the lower quartile , is the median of the lower half of the dataset
• Median (Q2 or 50th percentile): the middle value of the dataset
• Third quartile (Q3 or 75th percentile): also known as the upper quartile , is the median of the upper half of the dataset
• Maximum (Q4 or 100th percentile): the largest data point excluding any outliers
• Outliers: individual dots that occur outside the upper and lower extremes
• Interquartile range (IQR) : is the distance between the upper and lower quartiles.
  • 

Specialized Visualization Tools

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Question 1

What do the letters in the box plot above represent?

• A = Median, B = Third Quartile, C = Mean, D = Inter Quartile Range, E = Lower Quartile, and F = Outliers
• A = Mean, B = Upper Mean Quartile, C = Lower Mean Quartile, D = Inter Quartile Range, E = Minimum, and F = Outliers
• A = Mean, B = Third Quartile, C = First Quartile, D = Inter Quartile Range, E = Minimum, and F = Maximum
• A = Median, B = Third Quartile, C = First Quartile, D = Inter Quartile Range, E = Minimum, and F = Outliers
• A = Mean, B = Third Quartile, C = First Quartile, D = Inter Quartile Range, E = Minimum, and F = Outliers

Correct.

Question 2

What is the correct combination of function and parameter to create a box plot in Matplotlib?

• Function = box, and Parameter = type with value = "plot"
• Function = boxplot, and Parameter = type with value = "plot"
• Function = plot, and Parameter = type with value = "box"
• Function = plot, and Parameter = kind with value = "boxplot"
• Function = plot, and Parameter = kind with value = "box"

Correct.

Question 3

Which of the lines of code below will create the following scatter plot, given the pandas dataframe, df_total?

import matplotlib.pyplot as plt

df_total.plot(kind='scatter', x='year', y='total')

plt.title('Total Immigrant population to Canada from 1980 - 2013')
plt.xlabel ('Year')
plt.ylabel('Number of Immigrants')

Correct.