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P: 1
| - import pandas as pd
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import numpy as np
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#Dataset 1
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path="D:\\Data Science\\Python-Piyush\\Interview practice\\age.csv"
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age=pd.read_csv(path)
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age.head()
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#1) To find mean age of dataset
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a=(round(np.mean(age),5))
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print(type(a))
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print(a)
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import pandas as pd
-
import numpy as np
-
-
-
#Dataset 1
-
path="D:\\Data Science\\Python-Piyush\\Interview practice\\age.csv"
-
age=pd.read_csv(path)
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age.head()
-
-
#1) To find mean age of dataset
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a=(round(np.mean(age),5))
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print(type(a))
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print(a)
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#2)NO of entries that have age less than mean age
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for i in age['Age']:
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y=i<a
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print(y)
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print(type(y))
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c=y.value_counts('True')for i in age['Age']:
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y=i<a
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print(y)
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print(type(y))
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c=y.value_counts('True')
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