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In Python # import the libraries import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns titanic = pd.read_csv('titanic.csv')
In Python
# import the libraries import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns titanic = pd.read_csv('titanic.csv') # read the datasetShow five most common last names in 1st, 2nd, and 3rd class passengers. List the names in the order of occurrence, the most common name first, then the second most common name, and etc., for each passenger class. titanic.head(10) survived pclass sex age sibsp parch fare embarked class who adult_male deck embark_town alive alone 0 0 3 male 22.0 1 0 7.2500 S Third man True NaN Southampton no False 1 1 1 female 38.0 1 0 71.2833 C First woman False Cherbourg yes False 2 1 3 female 26.0 0 0 7.9250 S Third woman False NaN Southampton yes True 3 1 1 female 35.0 1 0 53.1000 S First woman False C Southampton yes False 4 0 3 male 35.0 0 0 8.0500 S Third man True NaN Southampton no True 5 0 3 male NaN 0 0 8.4583 Q Third man True NaN Queenstown no True 6 0 1 male 54.0 0 0 51.8625 S First man True no True E Southampton NaN Southampton 7 0 3 male 2.0 3 1 21.0750 S Third child False no False 8 1 3 female 27.0 0 2 11.1333 S Third woman False NaN Southampton yes False 9 1 2 female 14.0 1 0 30.0708 C Second child False NaN Cherbourg yes False
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