# summarize the data
from pandas import read_csv
from loadData import loadData

# Load dataset
names, dataset = loadData()

# shape
print(dataset.shape)

# head
print(dataset.head(20))

# descriptions
print(dataset.describe())

# class distribution
print(dataset.groupby('class').size())
6e6dd95c24a0cb9a47a7f7357b8f26531d6ef5bc
<mask token>

<mask token>
print(dataset.shape)
print(dataset.head(20))
print(dataset.describe())
print(dataset.groupby('class').size())

<mask token>
names, dataset = loadData()
print(dataset.shape)
print(dataset.head(20))
print(dataset.describe())
print(dataset.groupby('class').size())

from pandas import read_csv
from loadData import loadData
names, dataset = loadData()
print(dataset.shape)
print(dataset.head(20))
print(dataset.describe())
print(dataset.groupby('class').size())

# summarize the data
from pandas import read_csv
from loadData import loadData

# Load dataset
names, dataset = loadData()

# shape
print(dataset.shape)

# head
print(dataset.head(20))

# descriptions
print(dataset.describe())

# class distribution
print(dataset.groupby('class').size())