Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory693.4 KiB
Average record size in memory71.0 B

Variable types

Numeric4
Categorical3

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15526/S/1/datasetView.do

Alerts

측정항목 is highly overall correlated with 평균값High correlation
평균값 is highly overall correlated with 측정항목High correlation
측정기 상태 is highly imbalanced (94.4%)Imbalance
국가 기준초과 구분 is highly imbalanced (99.9%)Imbalance
지자체 기준초과 구분 is highly imbalanced (99.9%)Imbalance
평균값 is highly skewed (γ1 = -47.74888334)Skewed

Reproduction

Analysis started2024-07-13 17:49:38.014322
Analysis finished2024-07-13 17:49:41.188132
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

측정일시
Real number (ℝ)

Distinct667
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0150115 × 109
Minimum2.0150101 × 109
Maximum2.0150128 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-07-14T02:49:41.291682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0150101 × 109
5-th percentile2.0150102 × 109
Q12.0150108 × 109
median2.0150115 × 109
Q32.0150121 × 109
95-th percentile2.0150127 × 109
Maximum2.0150128 × 109
Range2718
Interquartile range (IQR)1319.25

Descriptive statistics

Standard deviation802.24766
Coefficient of variation (CV)3.9813553 × 10-7
Kurtosis-1.1952301
Mean2.0150115 × 109
Median Absolute Deviation (MAD)697
Skewness-0.013185897
Sum2.0150115 × 1013
Variance643601.31
MonotonicityNot monotonic
2024-07-14T02:49:41.525125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015011016 27
 
0.3%
2015010500 26
 
0.3%
2015011800 26
 
0.3%
2015012523 26
 
0.3%
2015011314 25
 
0.2%
2015012501 25
 
0.2%
2015010922 25
 
0.2%
2015011706 24
 
0.2%
2015012001 24
 
0.2%
2015012415 24
 
0.2%
Other values (657) 9748
97.5%
ValueCountFrequency (%)
2015010100 19
0.2%
2015010101 15
0.1%
2015010102 10
0.1%
2015010103 12
0.1%
2015010104 13
0.1%
2015010105 16
0.2%
2015010106 12
0.1%
2015010107 19
0.2%
2015010108 15
0.1%
2015010109 16
0.2%
ValueCountFrequency (%)
2015012818 12
0.1%
2015012817 13
0.1%
2015012816 18
0.2%
2015012815 13
0.1%
2015012814 17
0.2%
2015012813 24
0.2%
2015012812 17
0.2%
2015012811 11
0.1%
2015012810 22
0.2%
2015012809 14
0.1%

측정소 코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.889
Minimum101
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-07-14T02:49:41.716545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1107
median113
Q3119
95-th percentile124
Maximum125
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.1809495
Coefficient of variation (CV)0.06361071
Kurtosis-1.1977208
Mean112.889
Median Absolute Deviation (MAD)6
Skewness0.017098995
Sum1128890
Variance51.566036
MonotonicityNot monotonic
2024-07-14T02:49:41.923079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
109 425
 
4.2%
106 422
 
4.2%
114 417
 
4.2%
103 416
 
4.2%
121 414
 
4.1%
123 413
 
4.1%
116 412
 
4.1%
104 411
 
4.1%
119 407
 
4.1%
105 407
 
4.1%
Other values (15) 5856
58.6%
ValueCountFrequency (%)
101 404
4.0%
102 390
3.9%
103 416
4.2%
104 411
4.1%
105 407
4.1%
106 422
4.2%
107 387
3.9%
108 399
4.0%
109 425
4.2%
110 397
4.0%
ValueCountFrequency (%)
125 384
3.8%
124 370
3.7%
123 413
4.1%
122 356
3.6%
121 414
4.1%
120 394
3.9%
119 407
4.1%
118 395
4.0%
117 388
3.9%
116 412
4.1%

측정항목
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3109
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-07-14T02:49:42.083392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.7616669
Coefficient of variation (CV)0.51999979
Kurtosis-1.2207496
Mean5.3109
Median Absolute Deviation (MAD)3
Skewness-0.19386814
Sum53109
Variance7.6268039
MonotonicityNot monotonic
2024-07-14T02:49:42.249694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1710
17.1%
5 1684
16.8%
9 1678
16.8%
3 1657
16.6%
8 1640
16.4%
6 1631
16.3%
ValueCountFrequency (%)
1 1710
17.1%
3 1657
16.6%
5 1684
16.8%
6 1631
16.3%
8 1640
16.4%
9 1678
16.8%
ValueCountFrequency (%)
9 1678
16.8%
8 1640
16.4%
6 1631
16.3%
5 1684
16.8%
3 1657
16.6%
1 1710
17.1%

평균값
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct241
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7797659
Minimum-9999
Maximum142
Zeros3
Zeros (%)< 0.1%
Negative24
Negative (%)0.2%
Memory size166.0 KiB
2024-07-14T02:49:42.449587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9999
5-th percentile0.003
Q10.01
median0.0855
Q321
95-th percentile59
Maximum142
Range10141
Interquartile range (IQR)20.99

Descriptive statistics

Standard deviation203.38656
Coefficient of variation (CV)26.143018
Kurtosis2343.0741
Mean7.7797659
Median Absolute Deviation (MAD)0.1145
Skewness-47.748883
Sum77797.659
Variance41366.094
MonotonicityNot monotonic
2024-07-14T02:49:42.750119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006 452
 
4.5%
0.007 388
 
3.9%
0.005 377
 
3.8%
0.008 272
 
2.7%
0.004 247
 
2.5%
0.5 234
 
2.3%
0.6 232
 
2.3%
0.7 225
 
2.2%
0.003 221
 
2.2%
0.002 207
 
2.1%
Other values (231) 7145
71.5%
ValueCountFrequency (%)
-9999.0 4
 
< 0.1%
-999.9 8
 
0.1%
-9.999 12
 
0.1%
0.0 3
 
< 0.1%
0.001 51
 
0.5%
0.002 207
2.1%
0.003 221
2.2%
0.004 247
2.5%
0.005 377
3.8%
0.006 452
4.5%
ValueCountFrequency (%)
142.0 2
 
< 0.1%
140.0 1
 
< 0.1%
139.0 2
 
< 0.1%
137.0 1
 
< 0.1%
127.0 2
 
< 0.1%
126.0 5
0.1%
125.0 2
 
< 0.1%
124.0 1
 
< 0.1%
123.0 1
 
< 0.1%
121.0 1
 
< 0.1%

측정기 상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9857 
1
 
60
2
 
59
9
 
22
4
 
2

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 9857
98.6%
1 60
 
0.6%
2 59
 
0.6%
9 22
 
0.2%
4 2
 
< 0.1%

Length

2024-07-14T02:49:42.950504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-14T02:49:43.100493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9857
98.6%
1 60
 
0.6%
2 59
 
0.6%
9 22
 
0.2%
4 2
 
< 0.1%

국가 기준초과 구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

Length

2024-07-14T02:49:43.276074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-14T02:49:43.407979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

지자체 기준초과 구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

Length

2024-07-14T02:49:43.808882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-14T02:49:43.913795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

Interactions

2024-07-14T02:49:40.401178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:38.872116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:39.355411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:39.820030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:40.532741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:38.989807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:39.465261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:39.985327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:40.655897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:39.108839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:39.573730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:40.132272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:49:40.805394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/