Table 1 The statistical properties of air pollutants dataset.

From: Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models

 

N total

N missing

Mean

Standard deviation

Variance

Skewness

Kurtosis

Coefficient of variation

Median

Interquartile range (Q3–Q1)

Range (maximum–minimum)

Median absolute deviation

Robust coefficient of variation

CO

18,776

0

2929.229

2854.524

8148304.444

2.005

4.340

0.975

1842.500

2616.880

20888.330

974.660

0.784

NO

18,776

0

33.661

62.127

3859.779

2.808

9.087

1.846

5.250

35.080

500.680

5.250

1.483

NO2

18,776

0

66.221

48.527

2354.917

2.034

6.487

0.733

54.150

49.700

456.340

23.300

0.638

O3

18,776

0

60.346

80.465

6474.605

1.997

5.744

1.333

27.180

92.640

801.090

27.180

1.483

SO2

18,776

0

66.694

49.439

2444.234

2.670

12.074

0.741

52.930

47.210

574.580

21.460

0.601

PM2.5

18,776

0

238.130

226.534

51317.483

1.949

4.456

0.951

157.445

228.560

1696.260

92.630

0.872

PM10

18,776

0

300.093

267.166

71377.579

1.868

4.023

0.890

209.705

269.205

1954.860

114.565

0.810

NH3

18,776

0

25.110

26.402

697.071

3.568

18.752

1.051

17.480

20.770

287.770

9.250

0.785