Overview

Dataset statistics

Number of variables8
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory69.3 B

Variable types

Categorical2
Text3
Numeric2
DateTime1

Dataset

Description부산광역시_수영구_민방위급수시설현황_20230706
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15022962

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
급수능력 is highly overall correlated with 급수인원수High correlation
급수인원수 is highly overall correlated with 급수능력High correlation
민방위급수시설 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:54:03.606037
Analysis finished2023-12-10 16:54:05.069503
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

민방위급수시설구분
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
생활용수
26 
음용수
14 

Length

Max length4
Median length4
Mean length3.65
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활용수
2nd row음용수
3rd row생활용수
4th row음용수
5th row음용수

Common Values

ValueCountFrequency (%)
생활용수 26
65.0%
음용수 14
35.0%

Length

2023-12-11T01:54:05.185700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:05.384059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용수 26
65.0%
음용수 14
35.0%

민방위급수시설
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-11T01:54:05.816126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.95
Min length3

Characters and Unicode

Total characters198
Distinct characters97
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row망미초등학교(구)
2nd row망미초등학교(신)
3rd row수영사적공원
4th row수영구 스포츠문화타운
5th row덕문여자고등학교
ValueCountFrequency (%)
망미초등학교(구 1
 
2.4%
수목탕 1
 
2.4%
하나님의교회 1
 
2.4%
그린탕 1
 
2.4%
동산원 1
 
2.4%
해수탕 1
 
2.4%
미주탕 1
 
2.4%
망미탕 1
 
2.4%
한신아파트 1
 
2.4%
금은사우나 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T01:54:06.478415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 12
 
6.1%
원 9
 
4.5%
성 7
 
3.5%
수 7
 
3.5%
교 6
 
3.0%
아 6
 
3.0%
학 5
 
2.5%
미 5
 
2.5%
청 4
 
2.0%
옥 4
 
2.0%
Other values (87) 133
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
97.5%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 12
 
6.2%
원 9
 
4.7%
성 7
 
3.6%
수 7
 
3.6%
교 6
 
3.1%
아 6
 
3.1%
학 5
 
2.6%
미 5
 
2.6%
청 4
 
2.1%
옥 4
 
2.1%
Other values (84) 128
66.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
97.5%
Common 5
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 12
 
6.2%
원 9
 
4.7%
성 7
 
3.6%
수 7
 
3.6%
교 6
 
3.1%
아 6
 
3.1%
학 5
 
2.6%
미 5
 
2.6%
청 4
 
2.1%
옥 4
 
2.1%
Other values (84) 128
66.3%
Common
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
97.5%
ASCII 5
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 12
 
6.2%
원 9
 
4.7%
성 7
 
3.6%
수 7
 
3.6%
교 6
 
3.1%
아 6
 
3.1%
학 5
 
2.6%
미 5
 
2.6%
청 4
 
2.1%
옥 4
 
2.1%
Other values (84) 128
66.3%
ASCII
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%

소재지도로명주소
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-11T01:54:06.871152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.725
Min length16

Characters and Unicode

Total characters789
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)90.0%

Sample

1st row부산광역시 수영구 수미로35번길 27
2nd row부산광역시 수영구 수미로35번길 27
3rd row부산광역시 수영구 연수로379번길 42
4th row부산광역시 수영로 521번길 77
5th row부산광역시 수영구 연수로310번길 114
ValueCountFrequency (%)
부산광역시 40
25.2%
수영구 38
23.9%
수영로 5
 
3.1%
수미로35번길 2
 
1.3%
35 2
 
1.3%
광일로 2
 
1.3%
17 2
 
1.3%
37 2
 
1.3%
27 2
 
1.3%
15 2
 
1.3%
Other values (57) 62
39.0%
2023-12-11T01:54:07.500585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
15.1%
수 55
 
7.0%
광 50
 
6.3%
영 47
 
6.0%
산 42
 
5.3%
로 40
 
5.1%
부 40
 
5.1%
시 40
 
5.1%
역 40
 
5.1%
구 39
 
4.9%
Other values (33) 277
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
64.6%
Decimal Number 159
 
20.2%
Space Separator 119
 
15.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 55
10.8%
광 50
9.8%
영 47
9.2%
산 42
8.2%
로 40
7.8%
부 40
7.8%
시 40
7.8%
역 40
7.8%
구 39
7.6%
번 34
6.7%
Other values (21) 83
16.3%
Decimal Number
ValueCountFrequency (%)
5 28
17.6%
2 23
14.5%
3 23
14.5%
1 22
13.8%
7 16
10.1%
4 16
10.1%
0 11
 
6.9%
9 8
 
5.0%
6 7
 
4.4%
8 5
 
3.1%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 510
64.6%
Common 279
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 55
10.8%
광 50
9.8%
영 47
9.2%
산 42
8.2%
로 40
7.8%
부 40
7.8%
시 40
7.8%
역 40
7.8%
구 39
7.6%
번 34
6.7%
Other values (21) 83
16.3%
Common
ValueCountFrequency (%)
119
42.7%
5 28
 
10.0%
2 23
 
8.2%
3 23
 
8.2%
1 22
 
7.9%
7 16
 
5.7%
4 16
 
5.7%
0 11
 
3.9%
9 8
 
2.9%
6 7
 
2.5%
Other values (2) 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
64.6%
ASCII 279
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
42.7%
5 28
 
10.0%
2 23
 
8.2%
3 23
 
8.2%
1 22
 
7.9%
7 16
 
5.7%
4 16
 
5.7%
0 11
 
3.9%
9 8
 
2.9%
6 7
 
2.5%
Other values (2) 6
 
2.2%
Hangul
ValueCountFrequency (%)
수 55
10.8%
광 50
9.8%
영 47
9.2%
산 42
8.2%
로 40
7.8%
부 40
7.8%
시 40
7.8%
역 40
7.8%
구 39
7.6%
번 34
6.7%
Other values (21) 83
16.3%

소재지지번주소
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-11T01:54:07.872954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.875
Min length7

Characters and Unicode

Total characters355
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)90.0%

Sample

1st row망미동 268-2
2nd row망미동 268-2
3rd row수영동 372
4th row광안4동 산105
5th row광안동 8-8
ValueCountFrequency (%)
광안동 16
20.0%
망미동 13
 
16.2%
남천동 4
 
5.0%
수영동 3
 
3.8%
민락동 3
 
3.8%
777 2
 
2.5%
268-2 2
 
2.5%
498-3 1
 
1.2%
716-5 1
 
1.2%
1062-34 1
 
1.2%
Other values (34) 34
42.5%
2023-12-11T01:54:08.494279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 40
 
11.3%
40
 
11.3%
- 31
 
8.7%
1 30
 
8.5%
2 23
 
6.5%
7 21
 
5.9%
4 17
 
4.8%
광 17
 
4.8%
안 17
 
4.8%
5 16
 
4.5%
Other values (14) 103
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 163
45.9%
Other Letter 121
34.1%
Space Separator 40
 
11.3%
Dash Punctuation 31
 
8.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
33.1%
광 17
14.0%
안 17
14.0%
미 13
 
10.7%
망 13
 
10.7%
남 4
 
3.3%
천 4
 
3.3%
민 3
 
2.5%
락 3
 
2.5%
수 3
 
2.5%
Other values (2) 4
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 30
18.4%
2 23
14.1%
7 21
12.9%
4 17
10.4%
5 16
9.8%
8 15
9.2%
9 11
 
6.7%
3 11
 
6.7%
6 10
 
6.1%
0 9
 
5.5%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234
65.9%
Hangul 121
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
33.1%
광 17
14.0%
안 17
14.0%
미 13
 
10.7%
망 13
 
10.7%
남 4
 
3.3%
천 4
 
3.3%
민 3
 
2.5%
락 3
 
2.5%
수 3
 
2.5%
Other values (2) 4
 
3.3%
Common
ValueCountFrequency (%)
40
17.1%
- 31
13.2%
1 30
12.8%
2 23
9.8%
7 21
9.0%
4 17
7.3%
5 16
 
6.8%
8 15
 
6.4%
9 11
 
4.7%
3 11
 
4.7%
Other values (2) 19
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
65.9%
Hangul 121
34.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 40
33.1%
광 17
14.0%
안 17
14.0%
미 13
 
10.7%
망 13
 
10.7%
남 4
 
3.3%
천 4
 
3.3%
민 3
 
2.5%
락 3
 
2.5%
수 3
 
2.5%
Other values (2) 4
 
3.3%
ASCII
ValueCountFrequency (%)
40
17.1%
- 31
13.2%
1 30
12.8%
2 23
9.8%
7 21
9.0%
4 17
7.3%
5 16
 
6.8%
8 15
 
6.4%
9 11
 
4.7%
3 11
 
4.7%
Other values (2) 19
8.1%

급수능력
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.7
Minimum30
Maximum158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-11T01:54:08.707155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile34.95
Q160
median80
Q394.25
95-th percentile112
Maximum158
Range128
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation27.78415
Coefficient of variation (CV)0.35303875
Kurtosis1.2531895
Mean78.7
Median Absolute Deviation (MAD)17.5
Skewness0.57004345
Sum3148
Variance771.95897
MonotonicityNot monotonic
2023-12-11T01:54:08.929338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
80 8
20.0%
100 4
 
10.0%
90 3
 
7.5%
60 3
 
7.5%
35 2
 
5.0%
70 2
 
5.0%
95 2
 
5.0%
50 2
 
5.0%
30 1
 
2.5%
40 1
 
2.5%
Other values (12) 12
30.0%
ValueCountFrequency (%)
30 1
 
2.5%
34 1
 
2.5%
35 2
5.0%
40 1
 
2.5%
50 2
5.0%
55 1
 
2.5%
57 1
 
2.5%
60 3
7.5%
69 1
 
2.5%
70 2
5.0%
ValueCountFrequency (%)
158 1
 
2.5%
150 1
 
2.5%
110 1
 
2.5%
108 1
 
2.5%
100 4
10.0%
95 2
5.0%
94 1
 
2.5%
93 1
 
2.5%
90 3
7.5%
85 1
 
2.5%

급수인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3163.6
Minimum1200
Maximum6320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-11T01:54:09.140518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile1398
Q12400
median3200
Q33770
95-th percentile4480
Maximum6320
Range5120
Interquartile range (IQR)1370

Descriptive statistics

Standard deviation1090.5399
Coefficient of variation (CV)0.34471486
Kurtosis1.4028861
Mean3163.6
Median Absolute Deviation (MAD)700
Skewness0.63891592
Sum126544
Variance1189277.4
MonotonicityNot monotonic
2023-12-11T01:54:09.333677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3200 8
20.0%
4000 4
 
10.0%
3600 3
 
7.5%
2400 3
 
7.5%
2000 3
 
7.5%
2800 2
 
5.0%
3800 2
 
5.0%
2304 1
 
2.5%
1200 1
 
2.5%
1600 1
 
2.5%
Other values (12) 12
30.0%
ValueCountFrequency (%)
1200 1
 
2.5%
1360 1
 
2.5%
1400 1
 
2.5%
1600 1
 
2.5%
2000 3
7.5%
2200 1
 
2.5%
2304 1
 
2.5%
2400 3
7.5%
2760 1
 
2.5%
2800 2
5.0%
ValueCountFrequency (%)
6320 1
 
2.5%
6000 1
 
2.5%
4400 1
 
2.5%
4320 1
 
2.5%
4000 4
10.0%
3800 2
5.0%
3760 1
 
2.5%
3720 1
 
2.5%
3600 3
7.5%
3400 1
 
2.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
수영구청
40 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수영구청 40
100.0%

Length

2023-12-11T01:54:09.544489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:10.133121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영구청 40
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2023-07-06 00:00:00
Maximum2023-07-06 00:00:00
2023-12-11T01:54:10.282111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:10.457664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:54:04.394033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:04.080536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:04.535554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:04.217685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:54:10.688342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
민방위급수시설구분민방위급수시설소재지도로명주소소재지지번주소급수능력급수인원수
민방위급수시설구분1.0001.0000.6400.6400.4390.535
민방위급수시설1.0001.0001.0001.0001.0001.000
소재지도로명주소0.6401.0001.0001.0000.8500.859
소재지지번주소0.6401.0001.0001.0000.8500.859
급수능력0.4391.0000.8500.8501.0000.998
급수인원수0.5351.0000.8590.8590.9981.000
2023-12-11T01:54:10.917534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급수능력급수인원수민방위급수시설구분
급수능력1.0000.9990.411
급수인원수0.9991.0000.370
민방위급수시설구분0.4110.3701.000

Missing values

2023-12-11T01:54:04.729227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:54:04.958271image/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

민방위급수시설구분민방위급수시설소재지도로명주소소재지지번주소급수능력급수인원수관리기관명데이터기준일자
0생활용수망미초등학교(구)부산광역시 수영구 수미로35번길 27망미동 268-2572304수영구청2023-07-06
1음용수망미초등학교(신)부산광역시 수영구 수미로35번길 27망미동 268-21586320수영구청2023-07-06
2생활용수수영사적공원부산광역시 수영구 연수로379번길 42수영동 3721104400수영구청2023-07-06
3음용수수영구 스포츠문화타운부산광역시 수영로 521번길 77광안4동 산1051084320수영구청2023-07-06
4음용수덕문여자고등학교부산광역시 수영구 연수로310번길 114광안동 8-8903600수영구청2023-07-06
5음용수삼성아파트부산광역시 수영구 망미로30번길 23망미동 777702800수영구청2023-07-06
6음용수고려제강부산광역시 수영구 구락로141번길 37망미동 495933720수영구청2023-07-06
7음용수현대한누리타운부산광역시 수영구 금련로43번길 26망미동 979-72552200수영구청2023-07-06
8음용수수영한서병원부산광역시 수영구 수영로 615광안동 491-101506000수영구청2023-07-06
9음용수광원아파트부산광역시 수영구 광일로 59광안동 526-1943760수영구청2023-07-06
민방위급수시설구분민방위급수시설소재지도로명주소소재지지번주소급수능력급수인원수관리기관명데이터기준일자
30생활용수산수탕부산광역시 수영구 광남로213번길 17민락동 158-9602400수영구청2023-07-06
31생활용수성화탕부산광역시 수영구 연수로392번길 25광안동 1062-34803200수영구청2023-07-06
32생활용수청송세차장부산광역시 수영구 망미번영로38번길 79광안동 1060-11602400수영구청2023-07-06
33생활용수청옥탕부산광역시 수영구 광서로16번길 51광안동 1074-6953800수영구청2023-07-06
34생활용수남천성당부산광역시 수영로 427번길 15남천동 69-1803200수영구청2023-07-06
35생활용수동아중학교부산광역시 수영구 호암로 55광안동 1222-23401600수영구청2023-07-06
36생활용수부산배화학교부산광역시 수영구 연수로310번길73망미동 787803200수영구청2023-07-06
37생활용수옥천탕부산광역시 수영구 민락본동로27번길 22민락동 15-11903600수영구청2023-07-06
38생활용수강남헬스사우나부산광역시 수영구 광서로 33광안동 716-5502000수영구청2023-07-06
39생활용수보우빌딩부산광역시 수영구 남천동로 15남천동 14-22352000수영구청2023-07-06