Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory54.1 B

Variable types

Numeric2
Text2
DateTime2

Dataset

Description경기도 안산시 빗물이용시설 현황에 대한 데이터로 일련번호, 건축물명, 소재지도로명주소, 설치년월, 빗물저류조 용량, 데이터기준일자를 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15106573/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
일련번호 has unique valuesUnique
건축물명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
빗물저류조용량 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:12:01.722520
Analysis finished2023-12-12 08:12:02.544206
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:12:02.621690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-12T17:12:02.760544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

건축물명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T17:12:02.977361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.125
Min length4

Characters and Unicode

Total characters260
Distinct characters110
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row능길초등학교
2nd row와스타디움
3rd row광덕고등학교
4th row상록구청
5th row에스엘 부티크
ValueCountFrequency (%)
오피스텔 4
 
8.0%
안산 2
 
4.0%
중앙 2
 
4.0%
그랑시티자이 2
 
4.0%
능길초등학교 1
 
2.0%
안산에비뉴큐브시티 1
 
2.0%
지스타프라자 1
 
2.0%
고잔롯데캐슬 1
 
2.0%
골드파크 1
 
2.0%
롯데백화점 1
 
2.0%
Other values (34) 34
68.0%
2023-12-12T17:12:03.336492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
6.9%
스 11
 
4.2%
오 8
 
3.1%
안 8
 
3.1%
지 7
 
2.7%
크 6
 
2.3%
산 6
 
2.3%
트 6
 
2.3%
프 5
 
1.9%
텔 5
 
1.9%
Other values (100) 180
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
91.2%
Space Separator 18
 
6.9%
Uppercase Letter 3
 
1.2%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 11
 
4.6%
오 8
 
3.4%
안 8
 
3.4%
지 7
 
3.0%
크 6
 
2.5%
산 6
 
2.5%
트 6
 
2.5%
프 5
 
2.1%
텔 5
 
2.1%
이 5
 
2.1%
Other values (95) 170
71.7%
Uppercase Letter
ValueCountFrequency (%)
E 2
66.7%
S 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
91.2%
Common 20
 
7.7%
Latin 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 11
 
4.6%
오 8
 
3.4%
안 8
 
3.4%
지 7
 
3.0%
크 6
 
2.5%
산 6
 
2.5%
트 6
 
2.5%
프 5
 
2.1%
텔 5
 
2.1%
이 5
 
2.1%
Other values (95) 170
71.7%
Common
ValueCountFrequency (%)
18
90.0%
2 1
 
5.0%
1 1
 
5.0%
Latin
ValueCountFrequency (%)
E 2
66.7%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
91.2%
ASCII 23
 
8.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
78.3%
E 2
 
8.7%
2 1
 
4.3%
S 1
 
4.3%
1 1
 
4.3%
Hangul
ValueCountFrequency (%)
스 11
 
4.6%
오 8
 
3.4%
안 8
 
3.4%
지 7
 
3.0%
크 6
 
2.5%
산 6
 
2.5%
트 6
 
2.5%
프 5
 
2.1%
텔 5
 
2.1%
이 5
 
2.1%
Other values (95) 170
71.7%

소재지도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T17:12:03.644025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.75
Min length18

Characters and Unicode

Total characters632
Distinct characters59
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row경기도 안산시 단원구 신길중앙로3길 8(신길동)
2nd row경기도 안산시 단원구 화랑로 260
3rd row경기도 안산시 상록구 순환로 532
4th row경기도 안산시 상록구 석호로 110(사동)
5th row경기도 안산시 상록구 성호로1길 4-5
ValueCountFrequency (%)
경기도 32
20.0%
안산시 32
20.0%
단원구 23
14.4%
상록구 9
 
5.6%
화랑로 5
 
3.1%
고잔로 4
 
2.5%
중앙대로 3
 
1.9%
17 2
 
1.2%
원고잔로 2
 
1.2%
예술광장로 2
 
1.2%
Other values (45) 46
28.7%
2023-12-12T17:12:04.171804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
20.3%
경 32
 
5.1%
도 32
 
5.1%
안 32
 
5.1%
산 32
 
5.1%
시 32
 
5.1%
구 32
 
5.1%
기 32
 
5.1%
로 31
 
4.9%
원 26
 
4.1%
Other values (49) 223
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
65.2%
Space Separator 128
 
20.3%
Decimal Number 86
 
13.6%
Close Punctuation 2
 
0.3%
Dash Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 32
 
7.8%
도 32
 
7.8%
안 32
 
7.8%
산 32
 
7.8%
시 32
 
7.8%
구 32
 
7.8%
기 32
 
7.8%
로 31
 
7.5%
원 26
 
6.3%
단 24
 
5.8%
Other values (35) 107
26.0%
Decimal Number
ValueCountFrequency (%)
1 24
27.9%
3 10
11.6%
5 8
 
9.3%
8 7
 
8.1%
2 7
 
8.1%
7 7
 
8.1%
6 6
 
7.0%
0 6
 
7.0%
9 6
 
7.0%
4 5
 
5.8%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
65.2%
Common 220
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 32
 
7.8%
도 32
 
7.8%
안 32
 
7.8%
산 32
 
7.8%
시 32
 
7.8%
구 32
 
7.8%
기 32
 
7.8%
로 31
 
7.5%
원 26
 
6.3%
단 24
 
5.8%
Other values (35) 107
26.0%
Common
ValueCountFrequency (%)
128
58.2%
1 24
 
10.9%
3 10
 
4.5%
5 8
 
3.6%
8 7
 
3.2%
2 7
 
3.2%
7 7
 
3.2%
6 6
 
2.7%
0 6
 
2.7%
9 6
 
2.7%
Other values (4) 11
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
65.2%
ASCII 220
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
58.2%
1 24
 
10.9%
3 10
 
4.5%
5 8
 
3.6%
8 7
 
3.2%
2 7
 
3.2%
7 7
 
3.2%
6 6
 
2.7%
0 6
 
2.7%
9 6
 
2.7%
Other values (4) 11
 
5.0%
Hangul
ValueCountFrequency (%)
경 32
 
7.8%
도 32
 
7.8%
안 32
 
7.8%
산 32
 
7.8%
시 32
 
7.8%
구 32
 
7.8%
기 32
 
7.8%
로 31
 
7.5%
원 26
 
6.3%
단 24
 
5.8%
Other values (35) 107
26.0%

설치년월
Date

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2003-06-01 00:00:00
Maximum2021-09-01 00:00:00
2023-12-12T17:12:04.341749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:12:04.468130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

빗물저류조용량
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.97813
Minimum10
Maximum1320.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T17:12:04.645133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18.05
Q147.5
median93.5
Q3360.25
95-th percentile908.35
Maximum1320.6
Range1310.6
Interquartile range (IQR)312.75

Descriptive statistics

Standard deviation315.10652
Coefficient of variation (CV)1.291536
Kurtosis5.16478
Mean243.97813
Median Absolute Deviation (MAD)69
Skewness2.2282878
Sum7807.3
Variance99292.12
MonotonicityNot monotonic
2023-12-12T17:12:04.792397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
10.0 1
 
3.1%
214.0 1
 
3.1%
44.0 1
 
3.1%
527.0 1
 
3.1%
61.0 1
 
3.1%
1163.0 1
 
3.1%
26.0 1
 
3.1%
50.3 1
 
3.1%
700.0 1
 
3.1%
1320.6 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
10.0 1
3.1%
12.0 1
3.1%
23.0 1
3.1%
26.0 1
3.1%
34.6 1
3.1%
42.0 1
3.1%
44.0 1
3.1%
46.0 1
3.1%
48.0 1
3.1%
50.3 1
3.1%
ValueCountFrequency (%)
1320.6 1
3.1%
1163.0 1
3.1%
700.0 1
3.1%
527.0 1
3.1%
420.0 1
3.1%
380.8 1
3.1%
380.0 1
3.1%
361.0 1
3.1%
360.0 1
3.1%
350.0 1
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2022-09-01 00:00:00
Maximum2022-09-01 00:00:00
2023-12-12T17:12:04.945786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:12:05.047924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:12:02.181571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:12:01.985392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:12:02.282659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:12:02.080664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:12:05.123981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호건축물명소재지도로명주소설치년월빗물저류조용량
일련번호1.0001.0001.0000.8500.389
건축물명1.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.000
설치년월0.8501.0001.0001.0000.000
빗물저류조용량0.3891.0001.0000.0001.000
2023-12-12T17:12:05.216551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호빗물저류조용량
일련번호1.0000.226
빗물저류조용량0.2261.000

Missing values

2023-12-12T17:12:02.400255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:12:02.502961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

일련번호건축물명소재지도로명주소설치년월빗물저류조용량데이터기준일자
01능길초등학교경기도 안산시 단원구 신길중앙로3길 8(신길동)2003-0610.02022-09-01
12와스타디움경기도 안산시 단원구 화랑로 2602006-11361.02022-09-01
23광덕고등학교경기도 안산시 상록구 순환로 5322010-0248.02022-09-01
34상록구청경기도 안산시 상록구 석호로 110(사동)2010-12100.02022-09-01
45에스엘 부티크경기도 안산시 상록구 성호로1길 4-52015-0123.02022-09-01
56엠블던 호텔경기도 안산시 단원구 중앙대로 8692016-0446.02022-09-01
67안산스포츠파크경기도 안산시 단원구 첨단로 6442017-03169.82022-09-01
78호수공원 실내수영장경기도 안산시 상록구 광덕대로 702017-07325.02022-09-01
89단원구청경기도 안산시 단원구 화랑로 2502017-0869.02022-09-01
910리베르 오피스텔경기도 안산시 단원구 원고잔로 62017-1172.02022-09-01
일련번호건축물명소재지도로명주소설치년월빗물저류조용량데이터기준일자
2223파크프라자경기도 안산시 상록구 예술광장로 312019-0312.02022-09-01
2324초지역메이저타운프루지오경기도 안산시 단원구 원선1로 102019-04380.02022-09-01
2425그랑시티자이 1차경기도 안산시 상록구 해양4로 312019-121320.62022-09-01
2526안산 라프리모경기도 안산시 단원구 선부광장남로 132019-12700.02022-09-01
2627리슈빌S경기도 안산시 단원구 당곡로 272020-0650.32022-09-01
2728E편안세상선부역어반스퀘어경기도 안산시 단원구 선부광장1로 1792020-0826.02022-09-01
2829그랑시티자이 2차경기도 안산시 상록구 해양5로 172020-101163.02022-09-01
2930중앙 리베로 오피스텔경기도 안산시 단원구 중앙대로 9212020-1261.02022-09-01
3031E편안세상초지역센트럴포레경기도 안산시 단원구 화랑로 1022021-04527.02022-09-01
3132사랑의병원경기도 안산시 상록구 예술광장로 692021-0944.02022-09-01