Overview

Dataset statistics

Number of variables49
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.2 KiB
Average record size in memory432.3 B

Variable types

Numeric23
Categorical25
DateTime1

Alerts

게이트웨이ID has constant value ""Constant
아황산가스 인덱스 has constant value ""Constant
이산화질소 인덱스 has constant value ""Constant
온도 인덱스 has constant value ""Constant
시도코드 has constant value ""Constant
일산화탄소 인덱스 is highly imbalanced (86.0%)Imbalance
휘발성유기화합물 인덱스 is highly imbalanced (82.3%)Imbalance
습도 인덱스 is highly imbalanced (63.5%)Imbalance
pm2.5 CAI 지수 has 13 (13.0%) zerosZeros
pm2.5 값 has 13 (13.0%) zerosZeros
pm10 CAI 지수 has 6 (6.0%) zerosZeros
pm10 값 has 6 (6.0%) zerosZeros
속도 값 has 59 (59.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:53:11.039408
Analysis finished2023-12-10 11:53:11.710164
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

PRIMARY KEY
Real number (ℝ)

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75278224
Minimum74918468
Maximum75322804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:11.851285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74918468
5-th percentile74918477
Q175322588
median75322664
Q375322750
95-th percentile75322795
Maximum75322804
Range404336
Interquartile range (IQR)161.75

Descriptive statistics

Standard deviation127105.77
Coefficient of variation (CV)0.00168848
Kurtosis4.4955594
Mean75278224
Median Absolute Deviation (MAD)81.5
Skewness-2.5310138
Sum7.5278224 × 109
Variance1.6155878 × 1010
MonotonicityIncreasing
2023-12-10T20:53:12.153713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75322664 2
 
2.0%
75322644 2
 
2.0%
75322599 2
 
2.0%
75322616 2
 
2.0%
75322626 2
 
2.0%
75322758 2
 
2.0%
75322635 2
 
2.0%
75322755 2
 
2.0%
75322650 2
 
2.0%
75322582 2
 
2.0%
Other values (64) 80
80.0%
ValueCountFrequency (%)
74918468 1
1.0%
74918469 1
1.0%
74918470 1
1.0%
74918471 1
1.0%
74918472 1
1.0%
74918477 1
1.0%
74918489 1
1.0%
74918500 1
1.0%
74918512 1
1.0%
74918524 1
1.0%
ValueCountFrequency (%)
75322804 1
1.0%
75322799 1
1.0%
75322798 1
1.0%
75322796 2
2.0%
75322795 1
1.0%
75322790 1
1.0%
75322788 2
2.0%
75322783 1
1.0%
75322782 1
1.0%
75322776 1
1.0%

게이트웨이ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
SERVER
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSERVER
2nd rowSERVER
3rd rowSERVER
4th rowSERVER
5th rowSERVER

Common Values

ValueCountFrequency (%)
SERVER 100
100.0%

Length

2023-12-10T20:53:12.434426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:12.601076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
server 100
100.0%

노드ID
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
IK1036
47 
IK1032
13 
IK1043
13 
IK1046
11 
IK1012
Other values (3)
10 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowIK1046
2nd rowIK1046
3rd rowIK1046
4th rowIK1046
5th rowIK1046

Common Values

ValueCountFrequency (%)
IK1036 47
47.0%
IK1032 13
 
13.0%
IK1043 13
 
13.0%
IK1046 11
 
11.0%
IK1012 6
 
6.0%
IK1030 6
 
6.0%
IK1024 3
 
3.0%
IK1014 1
 
1.0%

Length

2023-12-10T20:53:12.780217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:12.983616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ik1036 47
47.0%
ik1032 13
 
13.0%
ik1043 13
 
13.0%
ik1046 11
 
11.0%
ik1012 6
 
6.0%
ik1030 6
 
6.0%
ik1024 3
 
3.0%
ik1014 1
 
1.0%
Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-06-01 00:00:05
Maximum2019-06-30 23:53:00
2023-12-10T20:53:13.223546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:53:13.495181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2
35 
0
33 
1
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
2 35
35.0%
0 33
33.0%
1 32
32.0%

Length

2023-12-10T20:53:13.745624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:13.976464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 35
35.0%
0 33
33.0%
1 32
32.0%
Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.43
Minimum20
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:14.245269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23
Q147
median60
Q3187
95-th percentile187
Maximum187
Range167
Interquartile range (IQR)140

Descriptive statistics

Standard deviation67.365617
Coefficient of variation (CV)0.70591656
Kurtosis-1.5848741
Mean95.43
Median Absolute Deviation (MAD)23
Skewness0.55261565
Sum9543
Variance4538.1264
MonotonicityNot monotonic
2023-12-10T20:53:14.475223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
187 32
32.0%
23 5
 
5.0%
54 5
 
5.0%
63 5
 
5.0%
47 5
 
5.0%
60 4
 
4.0%
52 4
 
4.0%
43 4
 
4.0%
50 4
 
4.0%
40 4
 
4.0%
Other values (16) 28
28.0%
ValueCountFrequency (%)
20 2
 
2.0%
22 2
 
2.0%
23 5
5.0%
25 2
 
2.0%
30 1
 
1.0%
33 2
 
2.0%
37 2
 
2.0%
40 4
4.0%
43 4
4.0%
47 5
5.0%
ValueCountFrequency (%)
187 32
32.0%
170 1
 
1.0%
167 2
 
2.0%
68 1
 
1.0%
67 1
 
1.0%
65 1
 
1.0%
64 2
 
2.0%
63 5
 
5.0%
61 2
 
2.0%
60 4
 
4.0%
Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.29
Minimum63
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:14.685042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile63
Q163
median88
Q391
95-th percentile96
Maximum96
Range33
Interquartile range (IQR)28

Descriptive statistics

Standard deviation13.460226
Coefficient of variation (CV)0.1655828
Kurtosis-1.5857836
Mean81.29
Median Absolute Deviation (MAD)5
Skewness-0.55339475
Sum8129
Variance181.17768
MonotonicityNot monotonic
2023-12-10T20:53:14.897763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
63 32
32.0%
90 15
15.0%
88 13
13.0%
96 9
 
9.0%
92 8
 
8.0%
89 5
 
5.0%
91 5
 
5.0%
87 3
 
3.0%
94 3
 
3.0%
67 2
 
2.0%
Other values (3) 5
 
5.0%
ValueCountFrequency (%)
63 32
32.0%
66 1
 
1.0%
67 2
 
2.0%
87 3
 
3.0%
88 13
13.0%
89 5
 
5.0%
90 15
15.0%
91 5
 
5.0%
92 8
 
8.0%
93 2
 
2.0%
ValueCountFrequency (%)
96 9
9.0%
95 2
 
2.0%
94 3
 
3.0%
93 2
 
2.0%
92 8
8.0%
91 5
 
5.0%
90 15
15.0%
89 5
 
5.0%
88 13
13.0%
87 3
 
3.0%

아황산가스 인덱스
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:53:15.139757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:15.320041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
15
29 
13
25 
5
20 
10
15 
8
11 

Length

Max length2
Median length2
Mean length1.69
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row5
3rd row13
4th row13
5th row10

Common Values

ValueCountFrequency (%)
15 29
29.0%
13 25
25.0%
5 20
20.0%
10 15
15.0%
8 11
 
11.0%

Length

2023-12-10T20:53:15.497516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:15.709123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 29
29.0%
13 25
25.0%
5 20
20.0%
10 15
15.0%
8 11
 
11.0%
Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
97
54 
98
26 
99
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row98
2nd row99
3rd row97
4th row97
5th row98

Common Values

ValueCountFrequency (%)
97 54
54.0%
98 26
26.0%
99 20
 
20.0%

Length

2023-12-10T20:53:15.933786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:16.118249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
97 54
54.0%
98 26
26.0%
99 20
 
20.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.006
29 
0.005
25 
0.002
20 
0.004
15 
0.003
11 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.003
2nd row0.002
3rd row0.005
4th row0.005
5th row0.004

Common Values

ValueCountFrequency (%)
0.006 29
29.0%
0.005 25
25.0%
0.002 20
20.0%
0.004 15
15.0%
0.003 11
 
11.0%

Length

2023-12-10T20:53:16.327506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:16.500694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.006 29
29.0%
0.005 25
25.0%
0.002 20
20.0%
0.004 15
15.0%
0.003 11
 
11.0%

이산화질소 인덱스
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:53:16.722956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:16.905488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
23
25 
22
25 
20
21 
25
18 
27
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23
2nd row20
3rd row27
4th row23
5th row23

Common Values

ValueCountFrequency (%)
23 25
25.0%
22 25
25.0%
20 21
21.0%
25 18
18.0%
27 11
11.0%

Length

2023-12-10T20:53:17.068398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:17.250912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23 25
25.0%
22 25
25.0%
20 21
21.0%
25 18
18.0%
27 11
11.0%
Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
95
68 
96
21 
94
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row95
2nd row96
3rd row94
4th row95
5th row95

Common Values

ValueCountFrequency (%)
95 68
68.0%
96 21
 
21.0%
94 11
 
11.0%

Length

2023-12-10T20:53:17.451601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:17.636258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
95 68
68.0%
96 21
 
21.0%
94 11
 
11.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.014
25 
0.013
25 
0.012
21 
0.015
18 
0.016
11 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.014
2nd row0.012
3rd row0.016
4th row0.014
5th row0.014

Common Values

ValueCountFrequency (%)
0.014 25
25.0%
0.013 25
25.0%
0.012 21
21.0%
0.015 18
18.0%
0.016 11
11.0%

Length

2023-12-10T20:53:17.825660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:18.012058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.014 25
25.0%
0.013 25
25.0%
0.012 21
21.0%
0.015 18
18.0%
0.016 11
11.0%

일산화탄소 인덱스
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
97 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 97
97.0%
1 2
 
2.0%
2 1
 
1.0%

Length

2023-12-10T20:53:18.230572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:18.412211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 97
97.0%
1 2
 
2.0%
2 1
 
1.0%
Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.78
Minimum3
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:18.560100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median5
Q38
95-th percentile8
Maximum170
Range167
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.264377
Coefficient of variation (CV)2.0802252
Kurtosis63.816078
Mean8.78
Median Absolute Deviation (MAD)2
Skewness7.6332612
Sum878
Variance333.58747
MonotonicityNot monotonic
2023-12-10T20:53:19.077926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 43
43.0%
5 38
38.0%
3 16
 
16.0%
170 1
 
1.0%
68 1
 
1.0%
58 1
 
1.0%
ValueCountFrequency (%)
3 16
 
16.0%
5 38
38.0%
8 43
43.0%
58 1
 
1.0%
68 1
 
1.0%
170 1
 
1.0%
ValueCountFrequency (%)
170 1
 
1.0%
68 1
 
1.0%
58 1
 
1.0%
8 43
43.0%
5 38
38.0%
3 16
 
16.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
99
54 
98
43 
65
 
1
86
 
1
88
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row65
2nd row86
3rd row88
4th row98
5th row99

Common Values

ValueCountFrequency (%)
99 54
54.0%
98 43
43.0%
65 1
 
1.0%
86 1
 
1.0%
88 1
 
1.0%

Length

2023-12-10T20:53:19.303138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:19.483407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 54
54.0%
98 43
43.0%
65 1
 
1.0%
86 1
 
1.0%
88 1
 
1.0%

일산화탄소 값
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.414
Minimum0.1
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:19.645941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.2
median0.2
Q30.3
95-th percentile0.3
Maximum11.8
Range11.7
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation1.2589093
Coefficient of variation (CV)3.0408436
Kurtosis70.101728
Mean0.414
Median Absolute Deviation (MAD)0.1
Skewness8.0624505
Sum41.4
Variance1.5848525
MonotonicityNot monotonic
2023-12-10T20:53:19.815790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.3 43
43.0%
0.2 38
38.0%
0.1 16
 
16.0%
11.8 1
 
1.0%
4.5 1
 
1.0%
3.0 1
 
1.0%
ValueCountFrequency (%)
0.1 16
 
16.0%
0.2 38
38.0%
0.3 43
43.0%
3.0 1
 
1.0%
4.5 1
 
1.0%
11.8 1
 
1.0%
ValueCountFrequency (%)
11.8 1
 
1.0%
4.5 1
 
1.0%
3.0 1
 
1.0%
0.3 43
43.0%
0.2 38
38.0%
0.1 16
 
16.0%

pm2.5 인덱스
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
36 
1
32 
4
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 36
36.0%
1 32
32.0%
4 32
32.0%

Length

2023-12-10T20:53:19.992536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:20.161206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
36.0%
1 32
32.0%
4 32
32.0%

pm2.5 CAI 지수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.21
Minimum0
Maximum187
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:20.375055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143
median56.5
Q3187
95-th percentile187
Maximum187
Range187
Interquartile range (IQR)144

Descriptive statistics

Standard deviation70.500562
Coefficient of variation (CV)0.79923548
Kurtosis-1.3658287
Mean88.21
Median Absolute Deviation (MAD)18
Skewness0.54952676
Sum8821
Variance4970.3292
MonotonicityNot monotonic
2023-12-10T20:53:20.562721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
187 32
32.0%
0 13
13.0%
40 5
 
5.0%
47 5
 
5.0%
63 5
 
5.0%
52 5
 
5.0%
54 5
 
5.0%
43 4
 
4.0%
60 4
 
4.0%
50 4
 
4.0%
Other values (10) 18
18.0%
ValueCountFrequency (%)
0 13
13.0%
30 1
 
1.0%
33 2
 
2.0%
37 2
 
2.0%
40 5
 
5.0%
43 4
 
4.0%
47 5
 
5.0%
50 4
 
4.0%
51 2
 
2.0%
52 5
 
5.0%
ValueCountFrequency (%)
187 32
32.0%
67 1
 
1.0%
65 2
 
2.0%
64 2
 
2.0%
63 5
 
5.0%
61 2
 
2.0%
60 4
 
4.0%
58 2
 
2.0%
55 2
 
2.0%
54 5
 
5.0%

pm2.5 CAI 백분율 값
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.95
Minimum62
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:20.769473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile62
Q162
median88
Q391
95-th percentile100
Maximum100
Range38
Interquartile range (IQR)29

Descriptive statistics

Standard deviation14.265431
Coefficient of variation (CV)0.17407482
Kurtosis-1.3612438
Mean81.95
Median Absolute Deviation (MAD)4
Skewness-0.53642752
Sum8195
Variance203.50253
MonotonicityNot monotonic
2023-12-10T20:53:20.975348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
62 32
32.0%
100 13
13.0%
89 12
 
12.0%
90 9
 
9.0%
87 9
 
9.0%
88 8
 
8.0%
92 7
 
7.0%
91 4
 
4.0%
86 3
 
3.0%
93 2
 
2.0%
ValueCountFrequency (%)
62 32
32.0%
86 3
 
3.0%
87 9
 
9.0%
88 8
 
8.0%
89 12
 
12.0%
90 9
 
9.0%
91 4
 
4.0%
92 7
 
7.0%
93 2
 
2.0%
94 1
 
1.0%
ValueCountFrequency (%)
100 13
13.0%
94 1
 
1.0%
93 2
 
2.0%
92 7
7.0%
91 4
 
4.0%
90 9
9.0%
89 12
12.0%
88 8
8.0%
87 9
9.0%
86 3
 
3.0%

pm2.5 값
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.31
Minimum-1
Maximum27
Zeros13
Zeros (%)13.0%
Negative32
Negative (%)32.0%
Memory size1.0 KiB
2023-12-10T20:53:21.185518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median11.5
Q317.25
95-th percentile24.05
Maximum27
Range28
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation9.8213281
Coefficient of variation (CV)1.0549225
Kurtosis-1.532461
Mean9.31
Median Absolute Deviation (MAD)11.5
Skewness0.20546937
Sum931
Variance96.458485
MonotonicityNot monotonic
2023-12-10T20:53:21.364943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1 32
32.0%
0 13
13.0%
12 5
 
5.0%
14 5
 
5.0%
24 5
 
5.0%
17 5
 
5.0%
18 5
 
5.0%
13 4
 
4.0%
22 4
 
4.0%
15 4
 
4.0%
Other values (10) 18
18.0%
ValueCountFrequency (%)
-1 32
32.0%
0 13
13.0%
9 1
 
1.0%
10 2
 
2.0%
11 2
 
2.0%
12 5
 
5.0%
13 4
 
4.0%
14 5
 
5.0%
15 4
 
4.0%
16 2
 
2.0%
ValueCountFrequency (%)
27 1
 
1.0%
26 2
 
2.0%
25 2
 
2.0%
24 5
5.0%
23 2
 
2.0%
22 4
4.0%
21 2
 
2.0%
19 2
 
2.0%
18 5
5.0%
17 5
5.0%

pm10 인덱스
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
66 
4
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 66
66.0%
4 34
34.0%

Length

2023-12-10T20:53:21.585418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:21.754050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
66.0%
4 34
34.0%

pm10 CAI 지수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.39
Minimum0
Maximum167
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:21.925354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median38
Q3167
95-th percentile167
Maximum167
Range167
Interquartile range (IQR)142

Descriptive statistics

Standard deviation67.764133
Coefficient of variation (CV)0.91093067
Kurtosis-1.5440816
Mean74.39
Median Absolute Deviation (MAD)18
Skewness0.59305706
Sum7439
Variance4591.9777
MonotonicityNot monotonic
2023-12-10T20:53:22.165220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
167 34
34.0%
25 7
 
7.0%
22 6
 
6.0%
0 6
 
6.0%
37 5
 
5.0%
45 4
 
4.0%
28 4
 
4.0%
38 4
 
4.0%
35 4
 
4.0%
42 3
 
3.0%
Other values (13) 23
23.0%
ValueCountFrequency (%)
0 6
6.0%
2 3
3.0%
5 2
 
2.0%
17 3
3.0%
18 2
 
2.0%
22 6
6.0%
23 2
 
2.0%
25 7
7.0%
27 1
 
1.0%
28 4
4.0%
ValueCountFrequency (%)
167 34
34.0%
48 1
 
1.0%
47 1
 
1.0%
45 4
 
4.0%
43 1
 
1.0%
42 3
 
3.0%
40 3
 
3.0%
38 4
 
4.0%
37 5
 
5.0%
35 4
 
4.0%

pm10 CAI 백분율 값
Real number (ℝ)

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.72
Minimum66
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:22.401148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile66
Q166
median92
Q395
95-th percentile100
Maximum100
Range34
Interquartile range (IQR)29

Descriptive statistics

Standard deviation13.698839
Coefficient of variation (CV)0.16169545
Kurtosis-1.5428887
Mean84.72
Median Absolute Deviation (MAD)3.5
Skewness-0.59221605
Sum8472
Variance187.65818
MonotonicityNot monotonic
2023-12-10T20:53:22.598428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
66 34
34.0%
95 15
15.0%
92 12
 
12.0%
91 8
 
8.0%
94 7
 
7.0%
93 6
 
6.0%
100 6
 
6.0%
96 5
 
5.0%
99 5
 
5.0%
90 2
 
2.0%
ValueCountFrequency (%)
66 34
34.0%
90 2
 
2.0%
91 8
 
8.0%
92 12
 
12.0%
93 6
 
6.0%
94 7
 
7.0%
95 15
15.0%
96 5
 
5.0%
99 5
 
5.0%
100 6
 
6.0%
ValueCountFrequency (%)
100 6
 
6.0%
99 5
 
5.0%
96 5
 
5.0%
95 15
15.0%
94 7
 
7.0%
93 6
 
6.0%
92 12
 
12.0%
91 8
 
8.0%
90 2
 
2.0%
66 34
34.0%

pm10 값
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.21
Minimum-1
Maximum29
Zeros6
Zeros (%)6.0%
Negative34
Negative (%)34.0%
Memory size1.0 KiB
2023-12-10T20:53:22.848001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median12
Q321
95-th percentile27
Maximum29
Range30
Interquartile range (IQR)22

Descriptive statistics

Standard deviation10.58615
Coefficient of variation (CV)1.0368413
Kurtosis-1.5716021
Mean10.21
Median Absolute Deviation (MAD)12
Skewness0.19060365
Sum1021
Variance112.06657
MonotonicityNot monotonic
2023-12-10T20:53:23.112078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1 34
34.0%
15 7
 
7.0%
13 6
 
6.0%
0 6
 
6.0%
22 5
 
5.0%
27 4
 
4.0%
17 4
 
4.0%
23 4
 
4.0%
21 4
 
4.0%
25 3
 
3.0%
Other values (13) 23
23.0%
ValueCountFrequency (%)
-1 34
34.0%
0 6
 
6.0%
1 3
 
3.0%
3 2
 
2.0%
10 3
 
3.0%
11 2
 
2.0%
13 6
 
6.0%
14 2
 
2.0%
15 7
 
7.0%
16 1
 
1.0%
ValueCountFrequency (%)
29 1
 
1.0%
28 1
 
1.0%
27 4
4.0%
26 1
 
1.0%
25 3
3.0%
24 3
3.0%
23 4
4.0%
22 5
5.0%
21 4
4.0%
20 1
 
1.0%

휘발성유기화합물 인덱스
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
95 
1
 
3
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row4

Common Values

ValueCountFrequency (%)
0 95
95.0%
1 3
 
3.0%
2 1
 
1.0%
4 1
 
1.0%

Length

2023-12-10T20:53:23.353308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:23.544349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
95.0%
1 3
 
3.0%
2 1
 
1.0%
4 1
 
1.0%
Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.646
Minimum0.6
Maximum66.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:23.720852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.6
Q10.6
median0.6
Q30.725
95-th percentile44.17
Maximum66.6
Range66
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation14.6049
Coefficient of variation (CV)2.5867695
Kurtosis6.2681658
Mean5.646
Median Absolute Deviation (MAD)0
Skewness2.7548341
Sum564.6
Variance213.30312
MonotonicityNot monotonic
2023-12-10T20:53:23.926076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.6 62
62.0%
0.8 14
 
14.0%
0.7 13
 
13.0%
66.6 1
 
1.0%
56.8 1
 
1.0%
52.5 1
 
1.0%
48.7 1
 
1.0%
45.5 1
 
1.0%
44.1 1
 
1.0%
41.5 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.6 62
62.0%
0.7 13
 
13.0%
0.8 14
 
14.0%
35.8 1
 
1.0%
37.2 1
 
1.0%
38.4 1
 
1.0%
40.0 1
 
1.0%
41.5 1
 
1.0%
44.1 1
 
1.0%
45.5 1
 
1.0%
ValueCountFrequency (%)
66.6 1
1.0%
56.8 1
1.0%
52.5 1
1.0%
48.7 1
1.0%
45.5 1
1.0%
44.1 1
1.0%
41.5 1
1.0%
40.0 1
1.0%
38.4 1
1.0%
37.2 1
1.0%

온도 인덱스
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:53:24.146977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:24.314153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

온도 값
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.078
Minimum23.8
Maximum34.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:24.504076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.8
5-th percentile24
Q124.3
median24.7
Q326.3
95-th percentile33.9
Maximum34.1
Range10.3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8934471
Coefficient of variation (CV)0.11095357
Kurtosis2.9943185
Mean26.078
Median Absolute Deviation (MAD)0.8
Skewness2.0248251
Sum2607.8
Variance8.3720364
MonotonicityNot monotonic
2023-12-10T20:53:24.770647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
26.2 11
 
11.0%
26.7 9
 
9.0%
24.4 8
 
8.0%
24.7 8
 
8.0%
26.1 7
 
7.0%
24.1 6
 
6.0%
24.3 6
 
6.0%
24.2 6
 
6.0%
24.0 6
 
6.0%
24.6 4
 
4.0%
Other values (17) 29
29.0%
ValueCountFrequency (%)
23.8 2
 
2.0%
23.9 2
 
2.0%
24.0 6
6.0%
24.1 6
6.0%
24.2 6
6.0%
24.3 6
6.0%
24.4 8
8.0%
24.5 4
4.0%
24.6 4
4.0%
24.7 8
8.0%
ValueCountFrequency (%)
34.1 2
 
2.0%
34.0 1
 
1.0%
33.9 3
 
3.0%
33.8 1
 
1.0%
33.7 1
 
1.0%
33.6 1
 
1.0%
33.4 1
 
1.0%
33.3 1
 
1.0%
26.9 1
 
1.0%
26.7 9
9.0%

습도 인덱스
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
88 
2
11 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 88
88.0%
2 11
 
11.0%
1 1
 
1.0%

Length

2023-12-10T20:53:25.007029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:25.187438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 88
88.0%
2 11
 
11.0%
1 1
 
1.0%

습도 값
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.72
Minimum14
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:25.343358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14
Q142.75
median44
Q344
95-th percentile49
Maximum49
Range35
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation9.4783965
Coefficient of variation (CV)0.23277005
Kurtosis4.1247721
Mean40.72
Median Absolute Deviation (MAD)1
Skewness-2.3917634
Sum4072
Variance89.84
MonotonicityNot monotonic
2023-12-10T20:53:25.551831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
44 49
49.0%
42 13
 
13.0%
45 10
 
10.0%
43 10
 
10.0%
14 8
 
8.0%
49 6
 
6.0%
15 3
 
3.0%
39 1
 
1.0%
ValueCountFrequency (%)
14 8
 
8.0%
15 3
 
3.0%
39 1
 
1.0%
42 13
 
13.0%
43 10
 
10.0%
44 49
49.0%
45 10
 
10.0%
49 6
 
6.0%
ValueCountFrequency (%)
49 6
 
6.0%
45 10
 
10.0%
44 49
49.0%
43 10
 
10.0%
42 13
 
13.0%
39 1
 
1.0%
15 3
 
3.0%
14 8
 
8.0%

대기압 값
Real number (ℝ)

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101347.13
Minimum101303
Maximum101399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:25.796872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101303
5-th percentile101305.95
Q1101324
median101345
Q3101369
95-th percentile101396
Maximum101399
Range96
Interquartile range (IQR)45

Descriptive statistics

Standard deviation28.716537
Coefficient of variation (CV)0.0002833483
Kurtosis-1.1352293
Mean101347.13
Median Absolute Deviation (MAD)23
Skewness0.20977205
Sum10134713
Variance824.63949
MonotonicityNot monotonic
2023-12-10T20:53:26.047626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
101328 5
 
5.0%
101311 5
 
5.0%
101324 4
 
4.0%
101375 4
 
4.0%
101342 4
 
4.0%
101396 4
 
4.0%
101369 3
 
3.0%
101305 3
 
3.0%
101315 3
 
3.0%
101345 3
 
3.0%
Other values (36) 62
62.0%
ValueCountFrequency (%)
101303 2
 
2.0%
101305 3
3.0%
101306 2
 
2.0%
101308 1
 
1.0%
101310 2
 
2.0%
101311 5
5.0%
101315 3
3.0%
101317 1
 
1.0%
101318 2
 
2.0%
101320 2
 
2.0%
ValueCountFrequency (%)
101399 1
 
1.0%
101397 1
 
1.0%
101396 4
4.0%
101394 1
 
1.0%
101393 2
2.0%
101392 1
 
1.0%
101391 2
2.0%
101387 3
3.0%
101381 2
2.0%
101376 1
 
1.0%

위도 값
Real number (ℝ)

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.891515
Minimum35.809772
Maximum35.925339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:26.256118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.809772
5-th percentile35.821371
Q135.876745
median35.900649
Q335.925339
95-th percentile35.925339
Maximum35.925339
Range0.115567
Interquartile range (IQR)0.048594

Descriptive statistics

Standard deviation0.040627302
Coefficient of variation (CV)0.0011319472
Kurtosis-0.79872482
Mean35.891515
Median Absolute Deviation (MAD)0.02469
Skewness-0.86317726
Sum3589.1515
Variance0.0016505776
MonotonicityNot monotonic
2023-12-10T20:53:26.485017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
35.925339 47
47.0%
35.876745 11
 
11.0%
35.896977 6
 
6.0%
35.825154 4
 
4.0%
35.821371 2
 
2.0%
35.825996 2
 
2.0%
35.826222 2
 
2.0%
35.89689 1
 
1.0%
35.902106 1
 
1.0%
35.817476 1
 
1.0%
Other values (23) 23
23.0%
ValueCountFrequency (%)
35.809772 1
1.0%
35.811237 1
1.0%
35.811382 1
1.0%
35.817476 1
1.0%
35.821371 2
2.0%
35.82213 1
1.0%
35.822281 1
1.0%
35.822349 1
1.0%
35.822359 1
1.0%
35.824017 1
1.0%
ValueCountFrequency (%)
35.925339 47
47.0%
35.902511 1
 
1.0%
35.90238 1
 
1.0%
35.902106 1
 
1.0%
35.899192 1
 
1.0%
35.897891 1
 
1.0%
35.897083 1
 
1.0%
35.896977 6
 
6.0%
35.896966 1
 
1.0%
35.89695 1
 
1.0%

경도 값
Real number (ℝ)

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.56254
Minimum128.51101
Maximum128.63167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:26.729536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.51101
5-th percentile128.51137
Q1128.54717
median128.54717
Q3128.59883
95-th percentile128.62162
Maximum128.63167
Range0.120655
Interquartile range (IQR)0.05166325

Descriptive statistics

Standard deviation0.035087699
Coefficient of variation (CV)0.0002729232
Kurtosis-0.78902418
Mean128.56254
Median Absolute Deviation (MAD)0.019838
Skewness0.51929912
Sum12856.254
Variance0.0012311466
MonotonicityNot monotonic
2023-12-10T20:53:26.974624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
128.547168 47
47.0%
128.571314 11
 
11.0%
128.511365 6
 
6.0%
128.621618 5
 
5.0%
128.612468 2
 
2.0%
128.616842 2
 
2.0%
128.631668 2
 
2.0%
128.511013 1
 
1.0%
128.511132 1
 
1.0%
128.602054 1
 
1.0%
Other values (22) 22
22.0%
ValueCountFrequency (%)
128.511013 1
 
1.0%
128.511132 1
 
1.0%
128.511365 6
6.0%
128.511376 1
 
1.0%
128.51153 1
 
1.0%
128.51178 1
 
1.0%
128.51225 1
 
1.0%
128.514613 1
 
1.0%
128.531638 1
 
1.0%
128.536556 1
 
1.0%
ValueCountFrequency (%)
128.631668 2
 
2.0%
128.629229 1
 
1.0%
128.623557 1
 
1.0%
128.621618 5
5.0%
128.618333 1
 
1.0%
128.616842 2
 
2.0%
128.614461 1
 
1.0%
128.613574 1
 
1.0%
128.612468 2
 
2.0%
128.611438 1
 
1.0%

속도 값
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.72
Minimum0
Maximum58
Zeros59
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:27.233489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334.75
95-th percentile53
Maximum58
Range58
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation21.742794
Coefficient of variation (CV)1.3831294
Kurtosis-0.91864256
Mean15.72
Median Absolute Deviation (MAD)0
Skewness0.89815517
Sum1572
Variance472.74909
MonotonicityNot monotonic
2023-12-10T20:53:27.493644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 59
59.0%
53 11
 
11.0%
37 3
 
3.0%
58 3
 
3.0%
26 2
 
2.0%
23 2
 
2.0%
15 2
 
2.0%
50 2
 
2.0%
1 1
 
1.0%
16 1
 
1.0%
Other values (14) 14
 
14.0%
ValueCountFrequency (%)
0 59
59.0%
1 1
 
1.0%
3 1
 
1.0%
9 1
 
1.0%
15 2
 
2.0%
16 1
 
1.0%
20 1
 
1.0%
22 1
 
1.0%
23 2
 
2.0%
25 1
 
1.0%
ValueCountFrequency (%)
58 3
 
3.0%
57 1
 
1.0%
53 11
11.0%
51 1
 
1.0%
50 2
 
2.0%
47 1
 
1.0%
45 1
 
1.0%
44 1
 
1.0%
40 1
 
1.0%
37 3
 
3.0%

지역 키 값
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
31,19
47 
29,16
13 
27,22
11 
21,26
21,27
Other values (7)
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row27,22
2nd row27,22
3rd row27,22
4th row27,22
5th row27,22

Common Values

ValueCountFrequency (%)
31,19 47
47.0%
29,16 13
 
13.0%
27,22 11
 
11.0%
21,26 8
 
8.0%
21,27 6
 
6.0%
21,28 3
 
3.0%
20,18 3
 
3.0%
29,25 3
 
3.0%
29,26 2
 
2.0%
22,25 2
 
2.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T20:53:27.724252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
31,19 47
47.0%
29,16 13
 
13.0%
27,22 11
 
11.0%
21,26 8
 
8.0%
21,27 6
 
6.0%
21,28 3
 
3.0%
20,18 3
 
3.0%
29,25 3
 
3.0%
29,26 2
 
2.0%
22,25 2
 
2.0%
Other values (2) 2
 
2.0%

정류소 ID
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0301181 × 109
Minimum7.0010075 × 109
Maximum7.0610348 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:27.918125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.0010075 × 109
5-th percentile7.0210084 × 109
Q17.0210085 × 109
median7.0210212 × 109
Q37.03101 × 109
95-th percentile7.0610194 × 109
Maximum7.0610348 × 109
Range60027300
Interquartile range (IQR)10001525

Descriptive statistics

Standard deviation15832030
Coefficient of variation (CV)0.002252029
Kurtosis0.071728404
Mean7.0301181 × 109
Median Absolute Deviation (MAD)12750
Skewness1.2724914
Sum7.0301181 × 1011
Variance2.5065317 × 1014
MonotonicityNot monotonic
2023-12-10T20:53:28.157882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7021008400 24
24.0%
7021008500 23
23.0%
7021059000 12
12.0%
7031010000 11
11.0%
7061010200 5
 
5.0%
7061008700 3
 
3.0%
7061030300 2
 
2.0%
7061019500 1
 
1.0%
7021020400 1
 
1.0%
7021029900 1
 
1.0%
Other values (17) 17
17.0%
ValueCountFrequency (%)
7001007500 1
 
1.0%
7021008400 24
24.0%
7021008500 23
23.0%
7021020400 1
 
1.0%
7021020900 1
 
1.0%
7021021400 1
 
1.0%
7021021500 1
 
1.0%
7021026700 1
 
1.0%
7021029900 1
 
1.0%
7021059000 12
12.0%
ValueCountFrequency (%)
7061034800 1
 
1.0%
7061030300 2
 
2.0%
7061019700 1
 
1.0%
7061019500 1
 
1.0%
7061019400 1
 
1.0%
7061010300 1
 
1.0%
7061010200 5
5.0%
7061010000 1
 
1.0%
7061009900 1
 
1.0%
7061009800 1
 
1.0%

모바일 ID
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1957.27
Minimum72
Maximum9096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:28.413771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile96
Q11229.25
median1775
Q31797
95-th percentile3868.15
Maximum9096
Range9024
Interquartile range (IQR)567.75

Descriptive statistics

Standard deviation1709.1317
Coefficient of variation (CV)0.87322224
Kurtosis7.3603606
Mean1957.27
Median Absolute Deviation (MAD)142
Skewness2.2707718
Sum195727
Variance2921131.1
MonotonicityNot monotonic
2023-12-10T20:53:28.747532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1797 24
24.0%
1775 23
23.0%
3868 12
12.0%
412 11
11.0%
96 5
 
5.0%
9096 3
 
3.0%
1727 2
 
2.0%
88 1
 
1.0%
2098 1
 
1.0%
223 1
 
1.0%
Other values (17) 17
17.0%
ValueCountFrequency (%)
72 1
 
1.0%
88 1
 
1.0%
90 1
 
1.0%
96 5
5.0%
99 1
 
1.0%
100 1
 
1.0%
101 1
 
1.0%
222 1
 
1.0%
223 1
 
1.0%
412 11
11.0%
ValueCountFrequency (%)
9096 3
 
3.0%
5249 1
 
1.0%
3871 1
 
1.0%
3868 12
12.0%
3863 1
 
1.0%
2203 1
 
1.0%
2115 1
 
1.0%
2099 1
 
1.0%
2098 1
 
1.0%
1940 1
 
1.0%

정류소명
Categorical

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
구암교1
24 
구암교2
23 
금호서한이다음아파트건너
12 
대구은행북비산지점건너2
11 
수성관광호텔건너
Other values (22)
25 

Length

Max length14
Median length13
Mean length6.97
Min length4

Unique

Unique20 ?
Unique (%)20.0%

Sample

1st row대구은행북비산지점건너2
2nd row대구은행북비산지점건너2
3rd row대구은행북비산지점건너2
4th row대구은행북비산지점건너2
5th row대구은행북비산지점건너2

Common Values

ValueCountFrequency (%)
구암교1 24
24.0%
구암교2 23
23.0%
금호서한이다음아파트건너 12
12.0%
대구은행북비산지점건너2 11
11.0%
수성관광호텔건너 5
 
5.0%
송원맨션앞 3
 
3.0%
상동천주교회건너 2
 
2.0%
불교한방병원건너1 1
 
1.0%
영진전문대학후문앞 1
 
1.0%
지산목련아파트건너 1
 
1.0%
Other values (17) 17
17.0%

Length

2023-12-10T20:53:28.974577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구암교1 24
24.0%
구암교2 23
23.0%
금호서한이다음아파트건너 12
12.0%
대구은행북비산지점건너2 11
11.0%
수성관광호텔건너 5
 
5.0%
송원맨션앞 3
 
3.0%
상동천주교회건너 2
 
2.0%
대곡주공5단지건너 1
 
1.0%
신세계주유소건너 1
 
1.0%
상수도사업본부시설관리소앞 1
 
1.0%
Other values (17) 17
17.0%
Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Guamgyo (Bridge)
47 
Geumho Seohanidaeum Apts
12 
Daegu Bank Bukbisan Branch
11 
Suseong Tourist Hotel
Songwon Mansion
 
3
Other values (16)
22 

Length

Max length42
Median length41
Mean length19.51
Min length10

Unique

Unique10 ?
Unique (%)10.0%

Sample

1st rowDaegu Bank Bukbisan Branch
2nd rowDaegu Bank Bukbisan Branch
3rd rowDaegu Bank Bukbisan Branch
4th rowDaegu Bank Bukbisan Branch
5th rowDaegu Bank Bukbisan Branch

Common Values

ValueCountFrequency (%)
Guamgyo (Bridge) 47
47.0%
Geumho Seohanidaeum Apts 12
 
12.0%
Daegu Bank Bukbisan Branch 11
 
11.0%
Suseong Tourist Hotel 5
 
5.0%
Songwon Mansion 3
 
3.0%
Suseong Land 2
 
2.0%
Suseongmot 2
 
2.0%
Sangdong Catholic Church 2
 
2.0%
Waterworks HQ Facilities Management Office 2
 
2.0%
Daedong Market 2
 
2.0%
Other values (11) 12
 
12.0%

Length

2023-12-10T20:53:29.214712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
guamgyo 47
18.1%
bridge 47
18.1%
apts 17
 
6.5%
geumho 13
 
5.0%
seohanidaeum 12
 
4.6%
daegu 11
 
4.2%
bank 11
 
4.2%
bukbisan 11
 
4.2%
branch 11
 
4.2%
suseong 7
 
2.7%
Other values (44) 73
28.1%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대구광역시
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시
2nd row대구광역시
3rd row대구광역시
4th row대구광역시
5th row대구광역시

Common Values

ValueCountFrequency (%)
대구광역시 100
100.0%

Length

2023-12-10T20:53:29.447495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:29.620108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 100
100.0%

구_군
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북구
66 
수성구
19 
서구
11 
달서구
 
3
중구
 
1

Length

Max length3
Median length2
Mean length2.22
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row서구
2nd row서구
3rd row서구
4th row서구
5th row서구

Common Values

ValueCountFrequency (%)
북구 66
66.0%
수성구 19
 
19.0%
서구 11
 
11.0%
달서구 3
 
3.0%
중구 1
 
1.0%

Length

2023-12-10T20:53:29.792756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:53:29.994979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 66
66.0%
수성구 19
 
19.0%
서구 11
 
11.0%
달서구 3
 
3.0%
중구 1
 
1.0%


Categorical

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
태전2동
47 
관문동
13 
비산2.3동
11 
두산동
파동
 
4
Other values (8)
16 

Length

Max length6
Median length4
Mean length3.85
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row비산2.3동
2nd row비산2.3동
3rd row비산2.3동
4th row비산2.3동
5th row비산2.3동

Common Values

ValueCountFrequency (%)
태전2동 47
47.0%
관문동 13
 
13.0%
비산2.3동 11
 
11.0%
두산동 9
 
9.0%
파동 4
 
4.0%
지산2동 3
 
3.0%
산격2동 3
 
3.0%
상동 3
 
3.0%
복현2동 2
 
2.0%
상인2동 2
 
2.0%
Other values (3) 3
 
3.0%

Length

2023-12-10T20:53:30.245832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
태전2동 47
47.0%
관문동 13
 
13.0%
비산2.3동 11
 
11.0%
두산동 9
 
9.0%
파동 4
 
4.0%
지산2동 3
 
3.0%
산격2동 3
 
3.0%
상동 3
 
3.0%
복현2동 2
 
2.0%
상인2동 2
 
2.0%
Other values (3) 3
 
3.0%

경유노선수
Real number (ℝ)

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:30.817703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile6
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0350465
Coefficient of variation (CV)0.59854308
Kurtosis0.27991755
Mean3.4
Median Absolute Deviation (MAD)1
Skewness0.52538783
Sum340
Variance4.1414141
MonotonicityNot monotonic
2023-12-10T20:53:30.976689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 29
29.0%
4 25
25.0%
5 25
25.0%
2 12
12.0%
6 4
 
4.0%
9 2
 
2.0%
10 1
 
1.0%
7 1
 
1.0%
3 1
 
1.0%
ValueCountFrequency (%)
1 29
29.0%
2 12
12.0%
3 1
 
1.0%
4 25
25.0%
5 25
25.0%
6 4
 
4.0%
7 1
 
1.0%
9 2
 
2.0%
10 1
 
1.0%
ValueCountFrequency (%)
10 1
 
1.0%
9 2
 
2.0%
7 1
 
1.0%
6 4
 
4.0%
5 25
25.0%
4 25
25.0%
3 1
 
1.0%
2 12
12.0%
1 29
29.0%

경유노선
Categorical

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
708, 719, 북구1, 칠곡1, 칠곡3
24 
708, 719, 북구1, 칠곡1-1
23 
북구4
13 
724
11 
401, 410
Other values (16)
22 

Length

Max length49
Median length48
Mean length15.76
Min length3

Unique

Unique12 ?
Unique (%)12.0%

Sample

1st row724
2nd row724
3rd row724
4th row724
5th row724

Common Values

ValueCountFrequency (%)
708, 719, 북구1, 칠곡1, 칠곡3 24
24.0%
708, 719, 북구1, 칠곡1-1 23
23.0%
북구4 13
13.0%
724 11
11.0%
401, 410 7
 
7.0%
240, 304, 405, 413, 449, 가창2 4
 
4.0%
356, 726 2
 
2.0%
401, 410-1 2
 
2.0%
410-1 2
 
2.0%
306, 309, 609, 649, 805, 840, 939, 990, 991, 급행2 1
 
1.0%
Other values (11) 11
11.0%

Length

2023-12-10T20:53:31.172047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북구1 51
15.0%
719 48
14.1%
708 47
13.8%
칠곡1 24
 
7.1%
칠곡3 24
 
7.1%
칠곡1-1 23
 
6.8%
북구4 13
 
3.8%
401 12
 
3.5%
724 11
 
3.2%
410 8
 
2.4%
Other values (35) 79
23.2%

버스정류장 경도값
Real number (ℝ)

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.56356
Minimum128.512
Maximum128.632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:31.359334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.512
5-th percentile128.512
Q1128.549
median128.549
Q3128.5995
95-th percentile128.622
Maximum128.632
Range0.12
Interquartile range (IQR)0.0505

Descriptive statistics

Standard deviation0.034746214
Coefficient of variation (CV)0.00027026487
Kurtosis-0.7484707
Mean128.56356
Median Absolute Deviation (MAD)0.0195
Skewness0.49484419
Sum12856.356
Variance0.0012072994
MonotonicityNot monotonic
2023-12-10T20:53:31.510445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
128.549 47
47.0%
128.512 12
 
12.0%
128.571 11
 
11.0%
128.622 5
 
5.0%
128.611 3
 
3.0%
128.612 3
 
3.0%
128.538 2
 
2.0%
128.603 2
 
2.0%
128.632 2
 
2.0%
128.609 2
 
2.0%
Other values (11) 11
 
11.0%
ValueCountFrequency (%)
128.512 12
 
12.0%
128.515 1
 
1.0%
128.532 1
 
1.0%
128.538 2
 
2.0%
128.549 47
47.0%
128.571 11
 
11.0%
128.599 1
 
1.0%
128.601 1
 
1.0%
128.603 2
 
2.0%
128.609 2
 
2.0%
ValueCountFrequency (%)
128.632 2
 
2.0%
128.63 1
 
1.0%
128.624 1
 
1.0%
128.622 5
5.0%
128.619 1
 
1.0%
128.618 1
 
1.0%
128.617 1
 
1.0%
128.616 1
 
1.0%
128.614 1
 
1.0%
128.612 3
3.0%

버스정류장 위도값
Real number (ℝ)

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.891594
Minimum35.8099
Maximum35.9255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:53:31.722964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.8099
5-th percentile35.8213
Q135.8768
median35.9007
Q335.9255
95-th percentile35.9255
Maximum35.9255
Range0.1156
Interquartile range (IQR)0.0487

Descriptive statistics

Standard deviation0.040682649
Coefficient of variation (CV)0.0011334868
Kurtosis-0.80153438
Mean35.891594
Median Absolute Deviation (MAD)0.0248
Skewness-0.86080698
Sum3589.1594
Variance0.0016550779
MonotonicityNot monotonic
2023-12-10T20:53:31.929193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35.9255 47
47.0%
35.8969 12
 
12.0%
35.8768 11
 
11.0%
35.8251 5
 
5.0%
35.8223 3
 
3.0%
35.826 2
 
2.0%
35.8213 2
 
2.0%
35.8289 2
 
2.0%
35.8263 2
 
2.0%
35.8113 1
 
1.0%
Other values (13) 13
 
13.0%
ValueCountFrequency (%)
35.8099 1
 
1.0%
35.8113 1
 
1.0%
35.8114 1
 
1.0%
35.8175 1
 
1.0%
35.8213 2
 
2.0%
35.8221 1
 
1.0%
35.8223 3
3.0%
35.8242 1
 
1.0%
35.8251 5
5.0%
35.826 2
 
2.0%
ValueCountFrequency (%)
35.9255 47
47.0%
35.9025 1
 
1.0%
35.9024 1
 
1.0%
35.9022 1
 
1.0%
35.8992 1
 
1.0%
35.8978 1
 
1.0%
35.8971 1
 
1.0%
35.8969 12
 
12.0%
35.8948 1
 
1.0%
35.8768 11
 
11.0%

Sample

PRIMARY KEY게이트웨이ID노드ID등록시간통합대기환경지수 인덱스통합대기환경지수 CAI 지수통합대기환경지수 CAI 백분율 값아황산가스 인덱스아황산가스 CAI 지수아황산가스 CAI 백분율 값아황산가스 값이산화질소 인덱스이산화질소 CAI 지수이산화질소 CAI 백분율 값이산화질소 값일산화탄소 인덱스일산화탄소 CAI 지수일산화탄소 CAI 백분율 값일산화탄소 값pm2.5 인덱스pm2.5 CAI 지수pm2.5 CAI 백분율 값pm2.5 값pm10 인덱스pm10 CAI 지수pm10 CAI 백분율 값pm10 값휘발성유기화합물 인덱스휘발성유기화합물 값온도 인덱스온도 값습도 인덱스습도 값대기압 값위도 값경도 값속도 값지역 키 값정류소 ID모바일 ID정류소명정류소 영문명시도코드구_군경유노선수경유노선버스정류장 경도값버스정류장 위도값
074918468SERVERIK10462019-06-30 23:51:2221706608980.003023950.01421706511.816586260459127266.6033.321510130335.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
174918469SERVERIK10462019-06-30 23:51:311688705990.002020960.012168864.515289170309418156.8033.421510130535.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
274918470SERVERIK10462019-06-30 23:51:4115889013970.005027940.016158883.004092120259515152.5033.621510130335.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
374918471SERVERIK10462019-06-30 23:51:5004791013970.005023950.01408980.304790140259515148.7033.721410133535.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
474918472SERVERIK10462019-06-30 23:52:0104092010980.004023950.01405990.204092120229513445.5033.821410132435.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
574918477SERVERIK10462019-06-30 23:52:1104092013970.005023950.01405990.204092120259515044.1033.921410132435.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
674918489SERVERIK10462019-06-30 23:52:2015190013970.005020960.01205990.215189160289417041.5033.921410135235.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
774918500SERVERIK10462019-06-30 23:52:3005090010980.004022950.01305990.205090150259515040.0033.921410139735.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
874918512SERVERIK10462019-06-30 23:52:4015490013970.005023950.01405990.215489180389223038.4034.021410139335.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
974918524SERVERIK10462019-06-30 23:52:5015290015970.006022950.01305990.215289170379222037.2034.121410136335.876745128.5713145327,227031010000412대구은행북비산지점건너2Daegu Bank Bukbisan Branch대구광역시서구비산2.3동1724128.57135.8768
PRIMARY KEY게이트웨이ID노드ID등록시간통합대기환경지수 인덱스통합대기환경지수 CAI 지수통합대기환경지수 CAI 백분율 값아황산가스 인덱스아황산가스 CAI 지수아황산가스 CAI 백분율 값아황산가스 값이산화질소 인덱스이산화질소 CAI 지수이산화질소 CAI 백분율 값이산화질소 값일산화탄소 인덱스일산화탄소 CAI 지수일산화탄소 CAI 백분율 값일산화탄소 값pm2.5 인덱스pm2.5 CAI 지수pm2.5 CAI 백분율 값pm2.5 값pm10 인덱스pm10 CAI 지수pm10 CAI 백분율 값pm10 값휘발성유기화합물 인덱스휘발성유기화합물 값온도 인덱스온도 값습도 인덱스습도 값대기압 값위도 값경도 값속도 값지역 키 값정류소 ID모바일 ID정류소명정류소 영문명시도코드구_군경유노선수경유노선버스정류장 경도값버스정류장 위도값
9075322783SERVERIK10432019-06-01 00:04:5716088010980.004020960.01208980.31608822040922400.8026.104210135935.896966128.5111321529,1670210590003868금호서한이다음아파트건너Geumho Seohanidaeum Apts대구광역시북구관문동1북구4128.51235.8969
9175322788SERVERIK10362019-06-01 00:05:04218763013970.005025950.01505990.2418762-1416766-100.6024.704410135035.925339128.547168031,1970210084001797구암교1Guamgyo (Bridge)대구광역시북구태전2동5708, 719, 북구1, 칠곡1, 칠곡3128.54935.9255
9275322788SERVERIK10362019-06-01 00:05:04218763013970.005025950.01505990.2418762-1416766-100.6024.704410135035.925339128.547168031,1970210085001775구암교2Guamgyo (Bridge)대구광역시북구태전2동4708, 719, 북구1, 칠곡1-1128.54935.9255
9375322790SERVERIK10432019-06-01 00:05:0616088015970.006020960.01208980.31608822037922200.8026.104210137535.896873128.511013929,1670210590003868금호서한이다음아파트건너Geumho Seohanidaeum Apts대구광역시북구관문동1북구4128.51235.8969
9475322795SERVERIK10302019-06-01 00:05:111549005990.002025950.01508980.31548918035932100.6023.904910131135.817476128.6135744521,26706100910072신세계주유소건너Shinsegae Gas Station대구광역시수성구파동6240, 304, 405, 413, 449, 가창2128.61435.8175
9575322796SERVERIK10362019-06-01 00:05:14218763015970.006025950.01505990.2418762-1416766-100.6024.704410135135.925339128.547168031,1970210085001775구암교2Guamgyo (Bridge)대구광역시북구태전2동4708, 719, 북구1, 칠곡1-1128.54935.9255
9675322796SERVERIK10362019-06-01 00:05:14218763015970.006025950.01505990.2418762-1416766-100.6024.704410135135.925339128.547168031,1970210084001797구암교1Guamgyo (Bridge)대구광역시북구태전2동5708, 719, 북구1, 칠곡1, 칠곡3128.54935.9255
9775322798SERVERIK10122019-06-01 00:05:170409208980.003027940.01608980.30409212022951300.6026.204410130835.902106128.598275829,257021029900223연암네거리3Yeonam (4) Junction대구광역시북구산격2동5623, 653, 939, 순환2, 순환2-1128.59935.9022
9875322799SERVERIK10432019-06-01 00:05:1716088010980.004023950.01408980.31608822037922200.8026.004210135735.89689128.5113761629,1670210590003868금호서한이다음아파트건너Geumho Seohanidaeum Apts대구광역시북구관문동1북구4128.51235.8969
9975322804SERVERIK10362019-06-01 00:05:230239605990.002023950.01405990.20010000299100.6024.804310136235.925339128.547168031,1970210084001797구암교1Guamgyo (Bridge)대구광역시북구태전2동5708, 719, 북구1, 칠곡1, 칠곡3128.54935.9255