Identifying Bayes' kidnapper
We've narrowed the possible kidnappers down to two suspects:
- Fred Frequentist (
suspect1) - Gertrude Cox (
suspect2)
The kidnapper left a long ransom note containing several unusual phrases. Help DataCamp by using a line plot to compare the frequency of letters in the ransom note to samples from the two main suspects.
Three DataFrames have been loaded:
ransomcontains the letter frequencies for the ransom note.suspect1contains the letter frequencies for the sample from Fred Frequentist.suspect2contains the letter frequencies for the sample from Gertrude Cox.
Each DataFrame contain two columns letter and frequency.
This exercise is part of the course
Introduction to Data Science in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# x should be ransom.letter and y should be ransom.frequency
plt.plot(____.____, ____.____,
# Label should be "Ransom"
____="Ransom",
# Plot the ransom letter as a dotted gray line
____=':', ____='gray')
# Display the plot
plt.show()