Question 1

1import pandas as pd
2import numpy as np
3columns = ["Glucose", "BloodPressure", "Insulin",
4          "BMI",  "Age"]
5data = [[148, 72,   0, 33.6, 50],
6        [85, 66,   0, 26.6, np.nan],
7        [183, 64,   0, 23.3, 32],
8        [89, 66,  94, 28.1, 21],
9        [137, 40, 168, 43.1, 33]]
10df = pd.DataFrame(data=data, columns=columns)

Consider following common data and answer the subquestions: import pandas as pd import numpy as np columns = ["Glucose", "BloodPressure", "Insulin", "BMI", "Age"] data = [[148, 72, 0, 33.6, 50], [85, 66, 0, 26.6, np.nan], [183, 64, 0, 23.3, 32], [89, 66, 94, 28.1, 21], [137, 40, 168, 43.1, 33]] df = pd.DataFrame(data=data, columns=columns) What will be the output of the following code snippet? Figure from the original question paper Enter -1, if you think the above code snippet will generate an error. Consider following common data and answer the subquestions: import pandas as pd import numpy as np columns = ["Glucose", "BloodPressure", "Insulin", "BMI", "Age"] data = [[148, 72, 0, 33.6, 50], [85, 66, 0, 26.6, np.nan], [183, 64, 0, 23.3, 32], [89, 66, 94, 28.1, 21], [137, 40, 168, 43.1, 33]] df = pd.DataFrame(data=data, columns=columns) What will be the output of the following code snippet? Figure from the original question paper Enter -1, if you think the above code snippet will generate an error. Consider following common data and answer the subquestions: import pandas as pd import numpy as np columns = ["Glucose", "BloodPressure", "Insulin", "BMI", "Age"] data = [[148, 72, 0, 33.6, 50], [85, 66, 0, 26.6, np.nan], [183, 64, 0, 23.3, 32], [89, 66, 94, 28.1, 21], [137, 40, 168, 43.1, 33]] df = pd.DataFrame(data=data, columns=columns) What will be the output of the following code snippet? Figure from the original question paper Enter -1, if you think the above code snippet will generate an error.