Data Visualization with Python IBM -> Specialized Visualization Tools
Specialized Visualization Tools
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Which of the lines of code below will create the following scatter plot, given the pandas dataframe, df_total?
a.import matplotlib.pyplot as plt
plot(kind='scatter', x='year', y='total', data=df_total)
plt.title('Total Immigrant population to Canada from 1980 - 2013')
plt.label ('Year')
plt.label('Number of Immigrants')
b.import matplotlib.pyplot as plt
plot(kind='scatter', x='year', y='total', data=df_total)
plt.title('Total Immigrant population to Canada from 1980 - 2013')
plt.label ('Year')
plt.label('Number of Immigrants')
c.import matplotlib.pyplot as plt (correct answer)
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')
d.import matplotlib.scripting.pyplot as plt
df_total.plot(kind='scatter', x='year', y='total')
plt.title('Total Immigrant population to Canada from 1980 - 2013')
plt.label('Year')
plt.label('Number of Immigrants')
e.import matplotlib.scripting.pyplot as plt
df_total.plot(kind='scatter', x='year', y='total')
plt.title('Total Immigrant population to Canada from 1980 - 2013')
plt.label('Year')
plt.label('Number of Immigrants')
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