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Table 6 Statistical features of the dataset c

From: Enhancing correlated big data privacy using differential privacy and machine learning

Features \(\rightarrow\)

Count

Mean

SD

Min

Max

Attributes \(\downarrow\)

     

Store and Fwd flag

7472431

1.48811223

0.58421322

0.0

1.0

DroffOff latitude

6857594

40.72007131

0.91274002

0.0

41.178898

PassengerCount

7472435

3.222114

2.8712441

1.0

6.0

Trip distance

7472435

3.05243424

2.83776974

0.0

68.7

Fare amount

7472435

14.485061506

9.74345086

72.0

254.42

MTA tax

7396684

3.1725532

2.88417522

1.24

58.37

Trip amount

7472435

1.17255325

2.09252194

0.0

58.0

Tolls amount

7463560

5.44124560

3.88891100

0.0

41.178898

Total payment

7472435

15.99873372

9.860037110

5.0

302.34

Pickup longitude

6857594

− 73.899834

1.65348802

− 74.073845

0.0

Pickup latitude

6857594

40.7194723

0.91256991

0.0

40.92078

Drop off longitude

6857594

− 73.89765

1.653648802

− 74.07387

0.0

Vendor ID

7472435

12.1414402

7.3373007

01A

26BZ

Pickup month

7472435

5.4433841

4.3200112

1

12

Pickup year

7472435

2013

0.2211384

2013

2013

DropOff month

7396684

4.7770122

4.0998411

1

12

DropOff year

7396684

2013

0.06109258

2013

2013