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 (95.7%)Imbalance
국가 기준초과 구분 is highly imbalanced (99.0%)Imbalance
지자체 기준초과 구분 is highly imbalanced (99.9%)Imbalance
평균값 is highly skewed (γ1 = -90.51896225)Skewed

Reproduction

Analysis started2024-07-13 17:50:18.769239
Analysis finished2024-07-13 17:50:22.029744
Duration3.26 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%
Mean2.0100115 × 109
Minimum2.0100101 × 109
Maximum2.0100128 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-07-14T02:50:22.133808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100101 × 109
5-th percentile2.0100102 × 109
Q12.0100107 × 109
median2.0100115 × 109
Q32.0100122 × 109
95-th percentile2.0100127 × 109
Maximum2.0100128 × 109
Range2718
Interquartile range (IQR)1479

Descriptive statistics

Standard deviation806.51684
Coefficient of variation (CV)4.0124987 × 10-7
Kurtosis-1.2164055
Mean2.0100115 × 109
Median Absolute Deviation (MAD)702
Skewness-0.024395483
Sum2.0100115 × 1013
Variance650469.41
MonotonicityNot monotonic
2024-07-14T02:50:22.296221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2010011704 27
 
0.3%
2010011807 27
 
0.3%
2010012813 27
 
0.3%
2010012212 27
 
0.3%
2010012104 26
 
0.3%
2010010214 25
 
0.2%
2010010304 25
 
0.2%
2010011317 25
 
0.2%
2010012320 24
 
0.2%
2010010201 23
 
0.2%
Other values (657) 9744
97.4%
ValueCountFrequency (%)
2010010100 20
0.2%
2010010101 13
0.1%
2010010102 15
0.1%
2010010103 14
0.1%
2010010104 13
0.1%
2010010105 11
0.1%
2010010106 15
0.1%
2010010107 11
0.1%
2010010108 17
0.2%
2010010109 16
0.2%
ValueCountFrequency (%)
2010012818 8
 
0.1%
2010012817 13
0.1%
2010012816 10
 
0.1%
2010012815 14
0.1%
2010012814 14
0.1%
2010012813 27
0.3%
2010012812 16
0.2%
2010012811 19
0.2%
2010012810 13
0.1%
2010012809 11
0.1%

측정소 코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.9848
Minimum101
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-07-14T02:50:22.441578image/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 deviation7.2236132
Coefficient of variation (CV)0.06393438
Kurtosis-1.2081812
Mean112.9848
Median Absolute Deviation (MAD)6
Skewness0.013929224
Sum1129848
Variance52.180587
MonotonicityNot monotonic
2024-07-14T02:50:22.674069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
113 427
 
4.3%
109 427
 
4.3%
123 424
 
4.2%
104 423
 
4.2%
124 414
 
4.1%
120 414
 
4.1%
118 410
 
4.1%
111 409
 
4.1%
108 408
 
4.1%
105 405
 
4.0%
Other values (15) 5839
58.4%
ValueCountFrequency (%)
101 396
4.0%
102 400
4.0%
103 379
3.8%
104 423
4.2%
105 405
4.0%
106 405
4.0%
107 401
4.0%
108 408
4.1%
109 427
4.3%
110 380
3.8%
ValueCountFrequency (%)
125 400
4.0%
124 414
4.1%
123 424
4.2%
122 395
4.0%
121 374
3.7%
120 414
4.1%
119 375
3.8%
118 410
4.1%
117 377
3.8%
116 381
3.8%

측정항목
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3897
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-07-14T02:50:22.854834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.7260185
Coefficient of variation (CV)0.50578298
Kurtosis-1.1764466
Mean5.3897
Median Absolute Deviation (MAD)2
Skewness-0.23777076
Sum53897
Variance7.431177
MonotonicityNot monotonic
2024-07-14T02:50:22.992182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 1747
17.5%
6 1692
16.9%
5 1691
16.9%
9 1649
16.5%
3 1626
16.3%
1 1595
16.0%
ValueCountFrequency (%)
1 1595
16.0%
3 1626
16.3%
5 1691
16.9%
6 1692
16.9%
8 1747
17.5%
9 1649
16.5%
ValueCountFrequency (%)
9 1649
16.5%
8 1747
17.5%
6 1692
16.9%
5 1691
16.9%
3 1626
16.3%
1 1595
16.0%

평균값
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct284
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.335518
Minimum-9999
Maximum367
Zeros32
Zeros (%)0.3%
Negative7
Negative (%)0.1%
Memory size166.0 KiB
2024-07-14T02:50:23.165509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9999
5-th percentile0.003
Q10.012
median0.3
Q327
95-th percentile69
Maximum367
Range10366
Interquartile range (IQR)26.988

Descriptive statistics

Standard deviation103.50807
Coefficient of variation (CV)7.2203929
Kurtosis8761.4694
Mean14.335518
Median Absolute Deviation (MAD)0.297
Skewness-90.518962
Sum143355.18
Variance10713.921
MonotonicityNot monotonic
2024-07-14T02:50:23.682107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.007 313
 
3.1%
0.006 303
 
3.0%
0.005 288
 
2.9%
0.008 251
 
2.5%
0.5 243
 
2.4%
0.003 242
 
2.4%
0.002 211
 
2.1%
0.004 203
 
2.0%
0.6 199
 
2.0%
0.4 196
 
2.0%
Other values (274) 7551
75.5%
ValueCountFrequency (%)
-9999.0 1
 
< 0.1%
-9.999 6
 
0.1%
0.0 32
 
0.3%
0.001 139
1.4%
0.002 211
2.1%
0.003 242
2.4%
0.004 203
2.0%
0.005 288
2.9%
0.006 303
3.0%
0.007 313
3.1%
ValueCountFrequency (%)
367.0 1
< 0.1%
334.0 1
< 0.1%
333.0 1
< 0.1%
299.0 1
< 0.1%
258.0 1
< 0.1%
247.0 1
< 0.1%
237.0 2
< 0.1%
205.0 1
< 0.1%
191.0 1
< 0.1%
186.0 1
< 0.1%

측정기 상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9894 
1
 
60
9
 
28
2
 
17
4
 
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 9894
98.9%
1 60
 
0.6%
9 28
 
0.3%
2 17
 
0.2%
4 1
 
< 0.1%

Length

2024-07-14T02:50:23.860681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-14T02:50:24.007729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9894
98.9%
1 60
 
0.6%
9 28
 
0.3%
2 17
 
0.2%
4 1
 
< 0.1%

국가 기준초과 구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9991 
1
 
9

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 9991
99.9%
1 9
 
0.1%

Length

2024-07-14T02:50:24.160138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-14T02:50:24.285558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9991
99.9%
1 9
 
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

2024-07-14T02:50:24.429273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-14T02:50:24.536551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

Interactions

2024-07-14T02:50:21.066888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:19.481712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:19.988146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:20.496058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:21.195281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:19.602434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:20.101617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:20.636951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:21.312949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:19.732255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:20.227250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:20.765916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-07-14T02:50:21.534420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/