Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory87.7 B

Variable types

Categorical3
Text4
DateTime1
Numeric2

Dataset

Description부산광역시_지방공기업출자출연기관_20240101
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15038434

Alerts

구분 has constant value ""Constant
관리기관 has constant value ""Constant
경도 is highly overall correlated with 유형High correlation
위도 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
기관명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique
홈페이지 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:16:36.361494
Analysis finished2024-03-13 13:16:37.679525
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
광역
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광역 23
100.0%

Length

2024-03-13T22:16:37.745158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:37.840202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광역 23
100.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
부산광역시
23 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 23
100.0%

Length

2024-03-13T22:16:37.935565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:38.023312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 23
100.0%

유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
지방출연기관
14 
지방공기업
7 
지방출자기관
2 

Length

Max length6
Median length6
Mean length5.6956522
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방출연기관 14
60.9%
지방공기업 7
30.4%
지방출자기관 2
 
8.7%

Length

2024-03-13T22:16:38.137878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:16:38.240969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방출연기관 14
60.9%
지방공기업 7
30.4%
지방출자기관 2
 
8.7%

기관명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T22:16:38.482445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length7.4782609
Min length5

Characters and Unicode

Total characters172
Distinct characters72
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시상수도
2nd row부산광역시하수도
3rd row부산교통공사
4th row부산도시공사
5th row부산관광공사
ValueCountFrequency (%)
부산광역시상수도 1
 
4.2%
부산광역시하수도 1
 
4.2%
주)벡스코 1
 
4.2%
재)부산문화회관 1
 
4.2%
부산산업과학혁신원 1
 
4.2%
재)영화의전당 1
 
4.2%
부산테크노파크 1
 
4.2%
부산정보산업진흥원 1
 
4.2%
부산의료원 1
 
4.2%
평생교육진흥원 1
 
4.2%
Other values (14) 14
58.3%
2024-03-13T22:16:38.851166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 22
 
12.8%
부 20
 
11.6%
원 8
 
4.7%
시 6
 
3.5%
공 5
 
2.9%
단 5
 
2.9%
재 5
 
2.9%
흥 4
 
2.3%
진 4
 
2.3%
사 4
 
2.3%
Other values (62) 89
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
94.2%
Open Punctuation 3
 
1.7%
Close Punctuation 3
 
1.7%
Uppercase Letter 2
 
1.2%
Space Separator 1
 
0.6%
Other Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 22
 
13.6%
부 20
 
12.3%
원 8
 
4.9%
시 6
 
3.7%
공 5
 
3.1%
단 5
 
3.1%
재 5
 
3.1%
흥 4
 
2.5%
진 4
 
2.5%
사 4
 
2.5%
Other values (57) 79
48.8%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
94.8%
Common 7
 
4.1%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 22
 
13.5%
부 20
 
12.3%
원 8
 
4.9%
시 6
 
3.7%
공 5
 
3.1%
단 5
 
3.1%
재 5
 
3.1%
흥 4
 
2.5%
진 4
 
2.5%
사 4
 
2.5%
Other values (58) 80
49.1%
Common
ValueCountFrequency (%)
( 3
42.9%
) 3
42.9%
1
 
14.3%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
94.2%
ASCII 9
 
5.2%
None 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 22
 
13.6%
부 20
 
12.3%
원 8
 
4.9%
시 6
 
3.7%
공 5
 
3.1%
단 5
 
3.1%
재 5
 
3.1%
흥 4
 
2.5%
진 4
 
2.5%
사 4
 
2.5%
Other values (57) 79
48.8%
ASCII
ValueCountFrequency (%)
( 3
33.3%
) 3
33.3%
C 2
22.2%
1
 
11.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T22:16:39.108791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length25
Mean length20.956522
Min length16

Characters and Unicode

Total characters482
Distinct characters93
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 중앙대로 955(양정동,상수도사업본부)
2nd row부산광역시 연제구 중앙대로 1001
3rd row부산광역시 부산진구 중앙대로644번길 20
4th row부산광역시 부산진구 신천대로 156
5th row부산광역시 부산진구 자유평화로 11
ValueCountFrequency (%)
부산광역시 23
24.0%
부산진구 7
 
7.3%
중앙대로 5
 
5.2%
해운대구 5
 
5.2%
연제구 4
 
4.2%
남구 2
 
2.1%
동래구 2
 
2.1%
수영강변대로 1
 
1.0%
월드컵대로 1
 
1.0%
359 1
 
1.0%
Other values (45) 45
46.9%
2024-03-13T22:16:39.479499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
15.4%
부 32
 
6.6%
산 32
 
6.6%
광 24
 
5.0%
역 23
 
4.8%
시 23
 
4.8%
구 22
 
4.6%
로 22
 
4.6%
1 18
 
3.7%
대 14
 
2.9%
Other values (83) 198
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
67.0%
Space Separator 74
 
15.4%
Decimal Number 72
 
14.9%
Uppercase Letter 4
 
0.8%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 32
 
9.9%
산 32
 
9.9%
광 24
 
7.4%
역 23
 
7.1%
시 23
 
7.1%
구 22
 
6.8%
로 22
 
6.8%
대 14
 
4.3%
진 8
 
2.5%
중 7
 
2.2%
Other values (64) 116
35.9%
Decimal Number
ValueCountFrequency (%)
1 18
25.0%
5 13
18.1%
0 10
13.9%
6 6
 
8.3%
4 5
 
6.9%
7 5
 
6.9%
2 5
 
6.9%
9 5
 
6.9%
3 3
 
4.2%
8 2
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
E 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
67.0%
Common 155
32.2%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 32
 
9.9%
산 32
 
9.9%
광 24
 
7.4%
역 23
 
7.1%
시 23
 
7.1%
구 22
 
6.8%
로 22
 
6.8%
대 14
 
4.3%
진 8
 
2.5%
중 7
 
2.2%
Other values (64) 116
35.9%
Common
ValueCountFrequency (%)
74
47.7%
1 18
 
11.6%
5 13
 
8.4%
0 10
 
6.5%
6 6
 
3.9%
4 5
 
3.2%
7 5
 
3.2%
2 5
 
3.2%
9 5
 
3.2%
3 3
 
1.9%
Other values (5) 11
 
7.1%
Latin
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
E 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
67.0%
ASCII 159
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
46.5%
1 18
 
11.3%
5 13
 
8.2%
0 10
 
6.3%
6 6
 
3.8%
4 5
 
3.1%
7 5
 
3.1%
2 5
 
3.1%
9 5
 
3.1%
3 3
 
1.9%
Other values (9) 15
 
9.4%
Hangul
ValueCountFrequency (%)
부 32
 
9.9%
산 32
 
9.9%
광 24
 
7.4%
역 23
 
7.1%
시 23
 
7.1%
구 22
 
6.8%
로 22
 
6.8%
대 14
 
4.3%
진 8
 
2.5%
중 7
 
2.2%
Other values (64) 116
35.9%

설립일자
Date

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1982-07-01 00:00:00
Maximum2023-07-01 00:00:00
2024-03-13T22:16:39.630850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:16:39.773009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

연락처
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T22:16:39.952352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.73913
Min length9

Characters and Unicode

Total characters270
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row051-669-4231
2nd row051-888-3732
3rd row1544-5005
4th row051-810-1200
5th row051-780-2111
ValueCountFrequency (%)
051-669-4231 1
 
4.3%
051-861-8101 1
 
4.3%
051-740-7316 1
 
4.3%
051-607-6024 1
 
4.3%
051-795-5085 1
 
4.3%
051-780-6013 1
 
4.3%
051-320-3685 1
 
4.3%
051-749-9412 1
 
4.3%
051-607-2013 1
 
4.3%
051-330-3400 1
 
4.3%
Other values (13) 13
56.5%
2024-03-13T22:16:40.275911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
18.9%
1 48
17.8%
- 44
16.3%
5 31
11.5%
6 19
 
7.0%
7 18
 
6.7%
8 16
 
5.9%
3 13
 
4.8%
2 12
 
4.4%
4 11
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 226
83.7%
Dash Punctuation 44
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
22.6%
1 48
21.2%
5 31
13.7%
6 19
 
8.4%
7 18
 
8.0%
8 16
 
7.1%
3 13
 
5.8%
2 12
 
5.3%
4 11
 
4.9%
9 7
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
18.9%
1 48
17.8%
- 44
16.3%
5 31
11.5%
6 19
 
7.0%
7 18
 
6.7%
8 16
 
5.9%
3 13
 
4.8%
2 12
 
4.4%
4 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
18.9%
1 48
17.8%
- 44
16.3%
5 31
11.5%
6 19
 
7.0%
7 18
 
6.7%
8 16
 
5.9%
3 13
 
4.8%
2 12
 
4.4%
4 11
 
4.1%

홈페이지
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T22:16:40.499485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length27
Mean length23.347826
Min length18

Characters and Unicode

Total characters537
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttp://www.busan.go.kr/water/index
2nd rowhttp://www.busan.go.kr/environment/ahsewer01
3rd rowhttp://www.humetro.busan.kr
4th rowhttp://www.bmc.busan.kr
5th rowhttp://www.bto.or.kr
ValueCountFrequency (%)
http://www.busan.go.kr/water/index 1
 
4.3%
https://busan.pass.or.kr 1
 
4.3%
http://www.bexco.co.kr 1
 
4.3%
http://www.bscc.or.kr 1
 
4.3%
http://www.bistep.re.kr 1
 
4.3%
http://www.dureraum.org 1
 
4.3%
http://www.btp.or.kr 1
 
4.3%
http://www.busanit.or.kr 1
 
4.3%
http://www.busanmc.or.kr 1
 
4.3%
http://www.bgli.re.kr 1
 
4.3%
Other values (13) 13
56.5%
2024-03-13T22:16:40.907342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 65
12.1%
. 65
12.1%
t 53
 
9.9%
/ 52
 
9.7%
r 41
 
7.6%
p 27
 
5.0%
h 25
 
4.7%
: 23
 
4.3%
b 23
 
4.3%
k 22
 
4.1%
Other values (17) 141
26.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 395
73.6%
Other Punctuation 140
 
26.1%
Decimal Number 2
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 65
16.5%
t 53
13.4%
r 41
10.4%
p 27
 
6.8%
h 25
 
6.3%
b 23
 
5.8%
k 22
 
5.6%
o 22
 
5.6%
s 17
 
4.3%
a 16
 
4.1%
Other values (12) 84
21.3%
Other Punctuation
ValueCountFrequency (%)
. 65
46.4%
/ 52
37.1%
: 23
 
16.4%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
1 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 395
73.6%
Common 142
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 65
16.5%
t 53
13.4%
r 41
10.4%
p 27
 
6.8%
h 25
 
6.3%
b 23
 
5.8%
k 22
 
5.6%
o 22
 
5.6%
s 17
 
4.3%
a 16
 
4.1%
Other values (12) 84
21.3%
Common
ValueCountFrequency (%)
. 65
45.8%
/ 52
36.6%
: 23
 
16.2%
0 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 65
12.1%
. 65
12.1%
t 53
 
9.9%
/ 52
 
9.7%
r 41
 
7.6%
p 27
 
5.0%
h 25
 
4.7%
: 23
 
4.3%
b 23
 
4.3%
k 22
 
4.1%
Other values (17) 141
26.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0828
Minimum128.87621
Maximum129.24016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-13T22:16:41.055310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.87621
5-th percentile129.02402
Q1129.06069
median129.08106
Q3129.11897
95-th percentile129.13549
Maximum129.24016
Range0.3639495
Interquartile range (IQR)0.0582796

Descriptive statistics

Standard deviation0.062993402
Coefficient of variation (CV)0.00048800771
Kurtosis5.9447837
Mean129.0828
Median Absolute Deviation (MAD)0.0210135
Skewness-0.93622904
Sum2968.9045
Variance0.0039681687
MonotonicityNot monotonic
2024-03-13T22:16:41.185224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.0723605 2
 
8.7%
129.0810626 2
 
8.7%
129.0211391 1
 
4.3%
129.2401643 1
 
4.3%
129.1360149 1
 
4.3%
129.0934767 1
 
4.3%
129.1263995 1
 
4.3%
129.1270371 1
 
4.3%
128.8762148 1
 
4.3%
129.1307215 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
128.8762148 1
4.3%
129.0211391 1
4.3%
129.0499642 1
4.3%
129.0513861 1
4.3%
129.0600491 1
4.3%
129.0601727 1
4.3%
129.0612005 1
4.3%
129.0723605 2
8.7%
129.0750915 1
4.3%
129.0756461 1
4.3%
ValueCountFrequency (%)
129.2401643 1
4.3%
129.1360149 1
4.3%
129.1307215 1
4.3%
129.129398 1
4.3%
129.1270371 1
4.3%
129.1263995 1
4.3%
129.1115329 1
4.3%
129.0934767 1
4.3%
129.0906567 1
4.3%
129.0813474 1
4.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.176508
Minimum35.11847
Maximum35.287171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-13T22:16:41.295695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.11847
5-th percentile35.127203
Q135.162489
median35.17399
Q335.184797
95-th percentile35.261134
Maximum35.287171
Range0.16870042
Interquartile range (IQR)0.022308695

Descriptive statistics

Standard deviation0.038282219
Coefficient of variation (CV)0.0010882893
Kurtosis3.3878774
Mean35.176508
Median Absolute Deviation (MAD)0.01080757
Skewness1.4501743
Sum809.05969
Variance0.0014655283
MonotonicityNot monotonic
2024-03-13T22:16:41.412521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.17513074 2
 
8.7%
35.18479728 2
 
8.7%
35.26817352 1
 
4.3%
35.28717076 1
 
4.3%
35.16906028 1
 
4.3%
35.12718603 1
 
4.3%
35.17388246 1
 
4.3%
35.17076674 1
 
4.3%
35.12735856 1
 
4.3%
35.17285061 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
35.11847034 1
4.3%
35.12718603 1
4.3%
35.12735856 1
4.3%
35.14174242 1
4.3%
35.14962962 1
4.3%
35.15591689 1
4.3%
35.16906028 1
4.3%
35.17076674 1
4.3%
35.17164954 1
4.3%
35.17285061 1
4.3%
ValueCountFrequency (%)
35.28717076 1
4.3%
35.26817352 1
4.3%
35.19778123 1
4.3%
35.18900098 1
4.3%
35.18741703 1
4.3%
35.18479728 2
8.7%
35.17992893 1
4.3%
35.17785982 1
4.3%
35.17513074 2
8.7%
35.17398971 1
4.3%

Interactions

2024-03-13T22:16:36.891111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:16:36.699153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:16:36.996968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:16:36.790735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:16:41.515192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형기관명주소설립일자연락처홈페이지경도위도
유형1.0001.0001.0001.0001.0001.0000.9430.695
기관명1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
설립일자1.0001.0001.0001.0001.0001.0000.0000.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.000
경도0.9431.0001.0000.0001.0001.0001.0000.806
위도0.6951.0001.0000.0001.0001.0000.8061.000
2024-03-13T22:16:41.673699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도유형
경도1.0000.1140.626
위도0.1141.0000.536
유형0.6260.5361.000

Missing values

2024-03-13T22:16:37.429698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:16:37.604040image/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

구분관리기관유형기관명주소설립일자연락처홈페이지경도위도
0광역부산광역시지방공기업부산광역시상수도부산광역시 부산진구 중앙대로 955(양정동,상수도사업본부)1989-09-01051-669-4231http://www.busan.go.kr/water/index129.07236135.175131
1광역부산광역시지방공기업부산광역시하수도부산광역시 연제구 중앙대로 10011988-01-01051-888-3732http://www.busan.go.kr/environment/ahsewer01129.07509235.179929
2광역부산광역시지방공기업부산교통공사부산광역시 부산진구 중앙대로644번길 202006-01-011544-5005http://www.humetro.busan.kr129.06017335.14963
3광역부산광역시지방공기업부산도시공사부산광역시 부산진구 신천대로 1561991-01-25051-810-1200http://www.bmc.busan.kr129.05138635.155917
4광역부산광역시지방공기업부산관광공사부산광역시 부산진구 자유평화로 112012-11-15051-780-2111http://www.bto.or.kr129.06120135.141742
5광역부산광역시지방공기업부산시설공단부산광역시 부산진구 새싹로 1741992-02-011670-8114http://www.bfma.or.kr129.04996435.17165
6광역부산광역시지방공기업부산환경공단부산광역시 동래구 온천천남로 1852000-01-01051-759-9300http://www.beco.go.kr129.11153335.189001
7광역부산광역시지방출연기관부산경제진흥원부산광역시 연제구 중앙대로 10902008-02-01051-600-1745http://www.bepa.kr129.08106335.184797
8광역부산광역시지방출연기관부산글로벌도시재단부산광역시 연제구 중앙대로 10002023-07-01051-711-6878http://www.bfic.kr129.07564635.17786
9광역부산광역시지방출연기관부산디자인진흥원부산광역시 해운대구 센텀동로57 부산디자인센터2006-06-12051-790-1016http://www.dcb.or.k129.12939835.17399
구분관리기관유형기관명주소설립일자연락처홈페이지경도위도
13광역부산광역시지방출연기관부산신용보증재단부산광역시 부산진구 진연로 152000-03-01051-860-6611http://www.busansinbo.or.kr129.08106335.184797
14광역부산광역시지방출연기관부산여성가족과 평생교육진흥원부산광역시 북구 효열로 2562023-07-01051-330-3400http://www.bgli.re.kr129.02113935.268174
15광역부산광역시지방출연기관부산의료원부산광역시 연제구 월드컵대로 3591982-07-01051-607-2013http://www.busanmc.or.kr129.06004935.187417
16광역부산광역시지방출연기관부산정보산업진흥원부산광역시 해운대구 센텀동로 412002-06-29051-749-9412http://www.busanit.or.kr129.13072135.172851
17광역부산광역시지방출연기관부산테크노파크부산광역시 강서구 과학산단 1로60번길 311999-12-18051-320-3685http://www.btp.or.kr128.87621535.127359
18광역부산광역시지방출연기관(재)영화의전당부산광역시 해운대구 수영강변대로 1202011-07-22051-780-6013http://www.dureraum.org129.12703735.170767
19광역부산광역시지방출연기관부산산업과학혁신원부산광역시 해운대구 센텀중앙로 79(센텀사이언스파크 13층,17층)2015-07-14051-795-5085http://www.bistep.re.kr129.12639935.173882
20광역부산광역시지방출연기관(재)부산문화회관부산광역시 남구 유엔평화로 76번길 12016-08-17051-607-6024http://www.bscc.or.kr129.09347735.127186
21광역부산광역시지방출자기관(주)벡스코부산광역시 해운대구 APEC로 551995-12-05051-740-7316http://www.bexco.co.kr129.13601535.16906
22광역부산광역시지방출자기관아시아드CC㈜부산광역시 기장군 일광면 차양길 261997-01-10051-720-6013http://asiadcc.co.kr/129.24016435.287171