Overview

Dataset statistics

Number of variables43
Number of observations29
Missing cells553
Missing cells (%)44.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory377.6 B

Variable types

Numeric6
Categorical13
Text4
Unsupported19
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123046

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
박물관미술관종류명 has constant value ""Constant
소요자금 is highly imbalanced (63.8%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 29 (100.0%) missing valuesMissing
휴업시작일자 has 29 (100.0%) missing valuesMissing
휴업종료일자 has 29 (100.0%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
소재지전화 has 29 (100.0%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
소재지우편번호 has 29 (100.0%) missing valuesMissing
도로명우편번호 has 29 (100.0%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
좌표정보(x) has 1 (3.4%) missing valuesMissing
좌표정보(y) has 1 (3.4%) missing valuesMissing
준공일자 has 29 (100.0%) missing valuesMissing
폐관일자 has 29 (100.0%) missing valuesMissing
폐관사유 has 29 (100.0%) missing valuesMissing
자본금 has 29 (100.0%) missing valuesMissing
법인설립목적 has 29 (100.0%) missing valuesMissing
허가조건 has 29 (100.0%) missing valuesMissing
법인해산일자 has 29 (100.0%) missing valuesMissing
법인명 has 29 (100.0%) missing valuesMissing
Unnamed: 42 has 29 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
개관일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지전화 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
준공일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐관일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐관사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인설립목적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허가조건 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인해산일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 42 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 20:55:09.937206
Analysis finished2024-04-16 20:55:10.292660
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T05:55:10.338055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-04-17T05:55:10.429220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
박물관, 미술관
29 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row박물관, 미술관
2nd row박물관, 미술관
3rd row박물관, 미술관
4th row박물관, 미술관
5th row박물관, 미술관

Common Values

ValueCountFrequency (%)
박물관, 미술관 29
100.0%

Length

2024-04-17T05:55:10.523627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:10.604135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
박물관 29
50.0%
미술관 29
50.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
03_07_05_P
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_05_P
2nd row03_07_05_P
3rd row03_07_05_P
4th row03_07_05_P
5th row03_07_05_P

Common Values

ValueCountFrequency (%)
03_07_05_P 29
100.0%

Length

2024-04-17T05:55:10.677173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:10.745266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_05_p 29
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
6260000
29 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 29
100.0%

Length

2024-04-17T05:55:10.819196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:10.902386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 29
100.0%

관리번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T05:55:11.049617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters435
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowB04012019000001
2nd rowB04011992000001
3rd rowB04011993000001
4th rowB04012007000001
5th rowB04012008000001
ValueCountFrequency (%)
b04012019000001 1
 
3.4%
b04012017000001 1
 
3.4%
b04012020000001 1
 
3.4%
b04012012000001 1
 
3.4%
b04022015000001 1
 
3.4%
b04022012000001 1
 
3.4%
b04012018000008 1
 
3.4%
b04012018000007 1
 
3.4%
b04012018000006 1
 
3.4%
b04012018000005 1
 
3.4%
Other values (19) 19
65.5%
2024-04-17T05:55:11.331542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 236
54.3%
1 60
 
13.8%
2 45
 
10.3%
4 32
 
7.4%
B 29
 
6.7%
8 14
 
3.2%
9 8
 
1.8%
3 5
 
1.1%
7 3
 
0.7%
5 2
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 406
93.3%
Uppercase Letter 29
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 236
58.1%
1 60
 
14.8%
2 45
 
11.1%
4 32
 
7.9%
8 14
 
3.4%
9 8
 
2.0%
3 5
 
1.2%
7 3
 
0.7%
5 2
 
0.5%
6 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 406
93.3%
Latin 29
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 236
58.1%
1 60
 
14.8%
2 45
 
11.1%
4 32
 
7.9%
8 14
 
3.4%
9 8
 
2.0%
3 5
 
1.2%
7 3
 
0.7%
5 2
 
0.5%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
B 29
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 236
54.3%
1 60
 
13.8%
2 45
 
10.3%
4 32
 
7.4%
B 29
 
6.7%
8 14
 
3.2%
9 8
 
1.8%
3 5
 
1.1%
7 3
 
0.7%
5 2
 
0.5%

인허가일자
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20103817
Minimum19921221
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T05:55:11.453364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19921221
5-th percentile19942878
Q120041209
median20121126
Q320180530
95-th percentile20192628
Maximum20210127
Range288906
Interquartile range (IQR)139321

Descriptive statistics

Standard deviation83719.937
Coefficient of variation (CV)0.0041643803
Kurtosis-0.44661746
Mean20103817
Median Absolute Deviation (MAD)59598
Skewness-0.76587169
Sum5.8301068 × 108
Variance7.0090279 × 109
MonotonicityNot monotonic
2024-04-17T05:55:11.547853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20180726 3
 
10.3%
20180530 2
 
6.9%
20181101 1
 
3.4%
20170824 1
 
3.4%
20210127 1
 
3.4%
20200312 1
 
3.4%
20120605 1
 
3.4%
20150325 1
 
3.4%
20121203 1
 
3.4%
20180724 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
19921221 1
3.4%
19930729 1
3.4%
19961102 1
3.4%
20000812 1
3.4%
20010319 1
3.4%
20011128 1
3.4%
20031008 1
3.4%
20041209 1
3.4%
20070321 1
3.4%
20080625 1
3.4%
ValueCountFrequency (%)
20210127 1
 
3.4%
20200312 1
 
3.4%
20181101 1
 
3.4%
20180726 3
10.3%
20180724 1
 
3.4%
20180530 2
6.9%
20170824 1
 
3.4%
20150327 1
 
3.4%
20150325 1
 
3.4%
20140929 1
 
3.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 29
100.0%

Length

2024-04-17T05:55:11.647451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:11.719527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업/정상
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 29
100.0%

Length

2024-04-17T05:55:11.808031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:11.882463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 29
100.0%

Length

2024-04-17T05:55:11.955162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:12.031119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 29
100.0%

Length

2024-04-17T05:55:12.103154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:12.172241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 29
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지전체주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T05:55:12.338614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length23
Min length18

Characters and Unicode

Total characters667
Distinct characters61
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row부산광역시 남구 문현동 1229번지 1호 00동 00호
2nd row부산광역시 남구 대연동 948번지 1호
3rd row부산광역시 동래구 복천동 50번지
4th row부산광역시 부산진구 부전동 168번지 176호
5th row부산광역시 금정구 청룡동 546번지
ValueCountFrequency (%)
부산광역시 29
 
19.5%
1호 9
 
6.0%
금정구 6
 
4.0%
남구 6
 
4.0%
1동 5
 
3.4%
1번지 4
 
2.7%
대연동 4
 
2.7%
동래구 4
 
2.7%
서구 3
 
2.0%
부산진구 3
 
2.0%
Other values (64) 76
51.0%
2024-04-17T05:55:12.647937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
19.0%
동 41
 
6.1%
부 39
 
5.8%
산 35
 
5.2%
1 31
 
4.6%
광 30
 
4.5%
역 29
 
4.3%
시 29
 
4.3%
구 29
 
4.3%
번 29
 
4.3%
Other values (51) 248
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
61.8%
Space Separator 127
 
19.0%
Decimal Number 124
 
18.6%
Uppercase Letter 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
10.0%
부 39
 
9.5%
산 35
 
8.5%
광 30
 
7.3%
역 29
 
7.0%
시 29
 
7.0%
구 29
 
7.0%
번 29
 
7.0%
지 29
 
7.0%
호 24
 
5.8%
Other values (36) 98
23.8%
Decimal Number
ValueCountFrequency (%)
1 31
25.0%
2 17
13.7%
4 15
12.1%
3 12
 
9.7%
0 11
 
8.9%
7 10
 
8.1%
6 10
 
8.1%
5 8
 
6.5%
8 6
 
4.8%
9 4
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
T 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
127
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
61.8%
Common 252
37.8%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
10.0%
부 39
 
9.5%
산 35
 
8.5%
광 30
 
7.3%
역 29
 
7.0%
시 29
 
7.0%
구 29
 
7.0%
번 29
 
7.0%
지 29
 
7.0%
호 24
 
5.8%
Other values (36) 98
23.8%
Common
ValueCountFrequency (%)
127
50.4%
1 31
 
12.3%
2 17
 
6.7%
4 15
 
6.0%
3 12
 
4.8%
0 11
 
4.4%
7 10
 
4.0%
6 10
 
4.0%
5 8
 
3.2%
8 6
 
2.4%
Other values (2) 5
 
2.0%
Latin
ValueCountFrequency (%)
G 1
33.3%
T 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
61.8%
ASCII 255
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
49.8%
1 31
 
12.2%
2 17
 
6.7%
4 15
 
5.9%
3 12
 
4.7%
0 11
 
4.3%
7 10
 
3.9%
6 10
 
3.9%
5 8
 
3.1%
8 6
 
2.4%
Other values (5) 8
 
3.1%
Hangul
ValueCountFrequency (%)
동 41
10.0%
부 39
 
9.5%
산 35
 
8.5%
광 30
 
7.3%
역 29
 
7.0%
시 29
 
7.0%
구 29
 
7.0%
번 29
 
7.0%
지 29
 
7.0%
호 24
 
5.8%
Other values (36) 98
23.8%

도로명전체주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T05:55:12.875449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length31.034483
Min length22

Characters and Unicode

Total characters900
Distinct characters123
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

Unique27 ?
Unique (%)93.1%

Sample

1st row부산광역시 남구 문현금융로 40-0, 00동 00호 (문현동,부산국제금융센터)
2nd row부산광역시 남구 유엔평화로 63 (대연동)
3rd row부산광역시 동래구 복천로 66 (복천동)
4th row부산광역시 부산진구 중앙대로702번길 21 (부전동)
5th row부산광역시 금정구 범어사로 250 (청룡동)
ValueCountFrequency (%)
부산광역시 29
 
18.2%
1동 7
 
4.4%
남구 6
 
3.8%
금정구 6
 
3.8%
동래구 4
 
2.5%
서구 3
 
1.9%
부산진구 3
 
1.9%
대연동,경성대학교 2
 
1.3%
중구 2
 
1.3%
해운대구 2
 
1.3%
Other values (90) 95
59.7%
2024-04-17T05:55:13.211144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
14.4%
동 45
 
5.0%
부 43
 
4.8%
산 39
 
4.3%
1 33
 
3.7%
구 31
 
3.4%
0 31
 
3.4%
광 31
 
3.4%
시 30
 
3.3%
역 29
 
3.2%
Other values (113) 458
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 532
59.1%
Decimal Number 136
 
15.1%
Space Separator 130
 
14.4%
Open Punctuation 29
 
3.2%
Close Punctuation 29
 
3.2%
Other Punctuation 24
 
2.7%
Dash Punctuation 15
 
1.7%
Uppercase Letter 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
 
8.5%
부 43
 
8.1%
산 39
 
7.3%
구 31
 
5.8%
광 31
 
5.8%
시 30
 
5.6%
역 29
 
5.5%
로 27
 
5.1%
대 20
 
3.8%
금 11
 
2.1%
Other values (93) 226
42.5%
Decimal Number
ValueCountFrequency (%)
1 33
24.3%
0 31
22.8%
2 18
13.2%
3 13
 
9.6%
6 12
 
8.8%
5 9
 
6.6%
7 8
 
5.9%
4 7
 
5.1%
9 5
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
K 1
20.0%
G 1
20.0%
U 1
20.0%
N 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 23
95.8%
& 1
 
4.2%
Space Separator
ValueCountFrequency (%)
130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 532
59.1%
Common 363
40.3%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
 
8.5%
부 43
 
8.1%
산 39
 
7.3%
구 31
 
5.8%
광 31
 
5.8%
시 30
 
5.6%
역 29
 
5.5%
로 27
 
5.1%
대 20
 
3.8%
금 11
 
2.1%
Other values (93) 226
42.5%
Common
ValueCountFrequency (%)
130
35.8%
1 33
 
9.1%
0 31
 
8.5%
( 29
 
8.0%
) 29
 
8.0%
, 23
 
6.3%
2 18
 
5.0%
- 15
 
4.1%
3 13
 
3.6%
6 12
 
3.3%
Other values (5) 30
 
8.3%
Latin
ValueCountFrequency (%)
T 1
20.0%
K 1
20.0%
G 1
20.0%
U 1
20.0%
N 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 532
59.1%
ASCII 368
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
35.3%
1 33
 
9.0%
0 31
 
8.4%
( 29
 
7.9%
) 29
 
7.9%
, 23
 
6.2%
2 18
 
4.9%
- 15
 
4.1%
3 13
 
3.5%
6 12
 
3.3%
Other values (10) 35
 
9.5%
Hangul
ValueCountFrequency (%)
동 45
 
8.5%
부 43
 
8.1%
산 39
 
7.3%
구 31
 
5.8%
광 31
 
5.8%
시 30
 
5.6%
역 29
 
5.5%
로 27
 
5.1%
대 20
 
3.8%
금 11
 
2.1%
Other values (93) 226
42.5%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

사업장명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-17T05:55:13.370022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length8.3448276
Min length5

Characters and Unicode

Total characters242
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row한국거래소 자본시장역사박물관
2nd row부산광역시립박물관
3rd row복천박물관
4th row부산포민속박물관
5th row범어사 성보박물관
ValueCountFrequency (%)
박물관 4
 
10.5%
한국거래소 1
 
2.6%
요산문학관 1
 
2.6%
동의대학교 1
 
2.6%
경성대학교 1
 
2.6%
부산대학교 1
 
2.6%
신라대학교 1
 
2.6%
이주홍문학관 1
 
2.6%
추리문학관 1
 
2.6%
부산영화체험박물관 1
 
2.6%
Other values (25) 25
65.8%
2024-04-17T05:55:13.629098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 30
 
12.4%
박 15
 
6.2%
물 15
 
6.2%
교 10
 
4.1%
9
 
3.7%
학 9
 
3.7%
산 9
 
3.7%
대 8
 
3.3%
술 8
 
3.3%
미 8
 
3.3%
Other values (82) 121
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 224
92.6%
Space Separator 9
 
3.7%
Uppercase Letter 6
 
2.5%
Other Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 30
 
13.4%
박 15
 
6.7%
물 15
 
6.7%
교 10
 
4.5%
학 9
 
4.0%
산 9
 
4.0%
대 8
 
3.6%
술 8
 
3.6%
미 8
 
3.6%
부 8
 
3.6%
Other values (73) 104
46.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
G 1
16.7%
K 1
16.7%
D 1
16.7%
O 1
16.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 224
92.6%
Common 12
 
5.0%
Latin 6
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 30
 
13.4%
박 15
 
6.7%
물 15
 
6.7%
교 10
 
4.5%
학 9
 
4.0%
산 9
 
4.0%
대 8
 
3.6%
술 8
 
3.6%
미 8
 
3.6%
부 8
 
3.6%
Other values (73) 104
46.4%
Latin
ValueCountFrequency (%)
T 2
33.3%
G 1
16.7%
K 1
16.7%
D 1
16.7%
O 1
16.7%
Common
ValueCountFrequency (%)
9
75.0%
& 1
 
8.3%
) 1
 
8.3%
( 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 224
92.6%
ASCII 18
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 30
 
13.4%
박 15
 
6.7%
물 15
 
6.7%
교 10
 
4.5%
학 9
 
4.0%
산 9
 
4.0%
대 8
 
3.6%
술 8
 
3.6%
미 8
 
3.6%
부 8
 
3.6%
Other values (73) 104
46.4%
ASCII
ValueCountFrequency (%)
9
50.0%
T 2
 
11.1%
G 1
 
5.6%
& 1
 
5.6%
K 1
 
5.6%
) 1
 
5.6%
( 1
 
5.6%
D 1
 
5.6%
O 1
 
5.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0181625 × 1013
Minimum2.0111031 × 1013
Maximum2.0210127 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T05:55:13.733020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111031 × 1013
5-th percentile2.0115026 × 1013
Q12.0180703 × 1013
median2.0190417 × 1013
Q32.019043 × 1013
95-th percentile2.0200759 × 1013
Maximum2.0210127 × 1013
Range9.909609 × 1010
Interquartile range (IQR)9.7269303 × 109

Descriptive statistics

Standard deviation2.4366297 × 1010
Coefficient of variation (CV)0.0012073506
Kurtosis4.7223961
Mean2.0181625 × 1013
Median Absolute Deviation (MAD)9.3159102 × 109
Skewness-2.3152805
Sum5.8526712 × 1014
Variance5.9371643 × 1020
MonotonicityNot monotonic
2024-04-17T05:55:13.830995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20190430181358 1
 
3.4%
20111031090155 1
 
3.4%
20210127175813 1
 
3.4%
20201127170208 1
 
3.4%
20190417095158 1
 
3.4%
20190416132936 1
 
3.4%
20180703175700 1
 
3.4%
20191118133420 1
 
3.4%
20180726165754 1
 
3.4%
20180726165220 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
20111031085821 1
3.4%
20111031090155 1
3.4%
20121017132939 1
3.4%
20180531101321 1
3.4%
20180703175700 1
3.4%
20180703175718 1
3.4%
20180703175820 1
3.4%
20180703181632 1
3.4%
20180726165220 1
3.4%
20180726165754 1
3.4%
ValueCountFrequency (%)
20210127175813 1
3.4%
20201127170208 1
3.4%
20200207145250 1
3.4%
20200207090841 1
3.4%
20191118133420 1
3.4%
20190430181448 1
3.4%
20190430181358 1
3.4%
20190430111947 1
3.4%
20190423161425 1
3.4%
20190417181035 1
3.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
U
18 
I
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U 18
62.1%
I 11
37.9%

Length

2024-04-17T05:55:13.929539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:14.004114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 18
62.1%
i 11
37.9%

데이터갱신일자
Date

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2018-08-31 23:59:59
Maximum2021-01-29 00:23:13
2024-04-17T05:55:14.067914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T05:55:14.172130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean387527.55
Minimum365389.69
Maximum398860.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T05:55:14.284051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365389.69
5-th percentile379004.6
Q1385603.76
median388554.71
Q3390407.17
95-th percentile395064.96
Maximum398860.28
Range33470.594
Interquartile range (IQR)4803.4094

Descriptive statistics

Standard deviation6053.8212
Coefficient of variation (CV)0.015621654
Kurtosis6.2214913
Mean387527.55
Median Absolute Deviation (MAD)2426.5592
Skewness-1.7386121
Sum10850771
Variance36648751
MonotonicityNot monotonic
2024-04-17T05:55:14.373527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
391889.405805888 2
 
6.9%
384047.41688983 2
 
6.9%
388182.381367829 1
 
3.4%
387394.967970419 1
 
3.4%
365389.689435116 1
 
3.4%
396774.871498082 1
 
3.4%
398860.283607731 1
 
3.4%
389722.255556834 1
 
3.4%
389024.601984689 1
 
3.4%
382570.401135476 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
365389.689435116 1
3.4%
377084.559256488 1
3.4%
382570.401135476 1
3.4%
383865.701686792 1
3.4%
384047.41688983 2
6.9%
385355.171440305 1
3.4%
385686.625993097 1
3.4%
385742.944605 1
3.4%
386901.558003655 1
3.4%
387394.967970419 1
3.4%
ValueCountFrequency (%)
398860.283607731 1
3.4%
396774.871498082 1
3.4%
391889.405805888 2
6.9%
391184.538799756 1
3.4%
390777.995642904 1
3.4%
390742.0 1
3.4%
390295.562308138 1
3.4%
390073.926684164 1
3.4%
389722.255556834 1
3.4%
389544.971585 1
3.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean187231.6
Minimum171773.27
Maximum200280.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T05:55:14.464198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171773.27
5-th percentile180030.2
Q1182214.58
median185906.91
Q3192841.51
95-th percentile198198.49
Maximum200280.93
Range28507.661
Interquartile range (IQR)10626.929

Descriptive statistics

Standard deviation6922.3506
Coefficient of variation (CV)0.036972128
Kurtosis-0.46063073
Mean187231.6
Median Absolute Deviation (MAD)5678.4561
Skewness0.11356518
Sum5242484.8
Variance47918937
MonotonicityNot monotonic
2024-04-17T05:55:14.555484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
184230.318087492 2
 
6.9%
180228.452549615 2
 
6.9%
185024.662471639 1
 
3.4%
185837.316568408 1
 
3.4%
171773.266697356 1
 
3.4%
186675.893062558 1
 
3.4%
186906.987353943 1
 
3.4%
198994.705411505 1
 
3.4%
192662.689111708 1
 
3.4%
187694.831142962 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
171773.266697356 1
3.4%
179985.383717232 1
3.4%
180113.437627391 1
3.4%
180228.452549615 2
6.9%
180662.690659762 1
3.4%
180773.326305808 1
3.4%
182695.0 1
3.4%
183167.67084041 1
3.4%
184230.318087492 2
6.9%
185024.662471639 1
3.4%
ValueCountFrequency (%)
200280.928194344 1
3.4%
198994.705411505 1
3.4%
196719.797642989 1
3.4%
196112.15967406 1
3.4%
195422.176863 1
3.4%
194155.289694453 1
3.4%
193377.976082591 1
3.4%
192662.689111708 1
3.4%
191730.637114022 1
3.4%
191707.832192142 1
3.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
박물관
21 
미술관
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
박물관 21
72.4%
미술관 8
 
27.6%

Length

2024-04-17T05:55:14.655663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:14.742582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
박물관 21
72.4%
미술관 8
 
27.6%

준공일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

개관일자
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20031441
Minimum19591101
Maximum20200904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-17T05:55:14.824752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19591101
5-th percentile19768825
Q119970901
median20060525
Q320150327
95-th percentile20187163
Maximum20200904
Range609803
Interquartile range (IQR)179426

Descriptive statistics

Standard deviation153379.06
Coefficient of variation (CV)0.0076569159
Kurtosis1.0402612
Mean20031441
Median Absolute Deviation (MAD)89802
Skewness-1.1514395
Sum5.809118 × 108
Variance2.3525137 × 1010
MonotonicityNot monotonic
2024-04-17T05:55:14.939400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20181101 1
 
3.4%
19780711 1
 
3.4%
20200904 1
 
3.4%
20191204 1
 
3.4%
20120608 1
 
3.4%
20150325 1
 
3.4%
20110416 1
 
3.4%
19920328 1
 
3.4%
20061120 1
 
3.4%
20180726 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
19591101 1
3.4%
19760901 1
3.4%
19780711 1
3.4%
19820925 1
3.4%
19840625 1
3.4%
19920328 1
3.4%
19961005 1
3.4%
19970901 1
3.4%
19971202 1
3.4%
20010319 1
3.4%
ValueCountFrequency (%)
20200904 1
3.4%
20191204 1
3.4%
20181101 1
3.4%
20180726 1
3.4%
20180615 1
3.4%
20180610 1
3.4%
20170704 1
3.4%
20150327 1
3.4%
20150325 1
3.4%
20141006 1
3.4%

설립운영주체구분명
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
사립
15 
대학
7 
공립
4 
국립
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립
2nd row국립
3rd row국립
4th row사립
5th row사립

Common Values

ValueCountFrequency (%)
사립 15
51.7%
대학 7
24.1%
공립 4
 
13.8%
국립 3
 
10.3%

Length

2024-04-17T05:55:15.058450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:15.156869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 15
51.7%
대학 7
24.1%
공립 4
 
13.8%
국립 3
 
10.3%

박물관미술관종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
1종
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1종
2nd row1종
3rd row1종
4th row1종
5th row1종

Common Values

ValueCountFrequency (%)
1종 29
100.0%

Length

2024-04-17T05:55:15.245389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:15.314223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1종 29
100.0%

박물관미술관유형명
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
전문박물관
15 
미술관
8 
종합박물관
3 
문화관
2 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.2758621
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row전문박물관
2nd row종합박물관
3rd row종합박물관
4th row전문박물관
5th row전문박물관

Common Values

ValueCountFrequency (%)
전문박물관 15
51.7%
미술관 8
27.6%
종합박물관 3
 
10.3%
문화관 2
 
6.9%
<NA> 1
 
3.4%

Length

2024-04-17T05:55:15.409200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:15.497328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문박물관 15
51.7%
미술관 8
27.6%
종합박물관 3
 
10.3%
문화관 2
 
6.9%
na 1
 
3.4%

폐관일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

폐관사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소요자금
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-17T05:55:15.838561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:15.913810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

법인설립목적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

허가조건
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

법인해산일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

Unnamed: 42
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명준공일자개관일자설립운영주체구분명박물관미술관종류명박물관미술관유형명폐관일자폐관사유자본금소요자금법인설립목적허가조건법인해산일자법인명Unnamed: 42
01박물관, 미술관03_07_05_P6260000B0401201900000120181101<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 문현동 1229번지 1호 00동 00호부산광역시 남구 문현금융로 40-0, 00동 00호 (문현동,부산국제금융센터)<NA>한국거래소 자본시장역사박물관20190430181358U2019-05-02 02:40:00.0<NA>388182.381368185024.662472박물관<NA>20181101사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
12박물관, 미술관03_07_05_P6260000B0401199200000119921221<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 948번지 1호부산광역시 남구 유엔평화로 63 (대연동)<NA>부산광역시립박물관20111031090155I2018-08-31 23:59:59.0<NA>390777.995643183167.67084박물관<NA>19780711국립1종종합박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
23박물관, 미술관03_07_05_P6260000B0401199300000119930729<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 복천동 50번지부산광역시 동래구 복천로 66 (복천동)<NA>복천박물관20111031085821I2018-08-31 23:59:59.0<NA>390295.562308191707.832192박물관<NA>19961005국립1종종합박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
34박물관, 미술관03_07_05_P6260000B0401200700000120070321<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 168번지 176호부산광역시 부산진구 중앙대로702번길 21 (부전동)<NA>부산포민속박물관20190417095056U2019-04-19 02:40:00.0<NA>387670.269977185976.500758박물관<NA>20060525사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
45박물관, 미술관03_07_05_P6260000B0401200800000120080625<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 청룡동 546번지부산광역시 금정구 범어사로 250 (청룡동)<NA>범어사 성보박물관20190417095111U2019-04-19 02:40:00.0<NA>388128.926434200280.928194박물관<NA>20030323사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
56박물관, 미술관03_07_05_P6260000B0401200900000120090123<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 금성동 285번지부산광역시 금정구 죽전1길 29 (금성동)<NA>킴스아트필드미술관20180703175718I2018-08-31 23:59:59.0<NA>386901.558004196719.797643미술관<NA>20090123사립1종미술관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
67박물관, 미술관03_07_05_P6260000B0401200900000220090227<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 부곡동 1번지 4호부산광역시 금정구 오륜대로 106-1 (부곡동)<NA>오륜대 한국순교자기념관20190417095122U2019-04-19 02:40:00.0<NA>391184.5388196112.159674박물관<NA>19820925사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
78박물관, 미술관03_07_05_P6260000B0401200900000320011128<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 부민동2가 1번지부산광역시 서구 구덕로 225 (부민동2가)<NA>동아대학교박물관20190311144350U2019-03-13 02:40:00.0<NA>384047.41689180228.45255박물관<NA>19591101대학1종종합박물관<NA><NA><NA>0<NA><NA><NA><NA><NA>
89박물관, 미술관03_07_05_P6260000B0401201200000220121017<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 부민동3가 22번지부산광역시 서구 임시수도기념로 45 (부민동3가)<NA>임시수도기념관20121017132939I2018-08-31 23:59:59.0<NA>383865.701687180113.437627박물관<NA>19840625공립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
910박물관, 미술관03_07_05_P6260000B0401201200000320121126<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 산 13번지 1호부산광역시 동래구 우장춘로 175 (온천동)<NA>부산해양자연사박물관20190417100238U2019-04-19 02:40:00.0<NA>388927.03466193377.976083박물관<NA>19971202공립1종전문박물관<NA><NA><NA>0<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명준공일자개관일자설립운영주체구분명박물관미술관종류명박물관미술관유형명폐관일자폐관사유자본금소요자금법인설립목적허가조건법인해산일자법인명Unnamed: 42
1920박물관, 미술관03_07_05_P6260000B0401201800000420031008<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 장전동 40번지 1호 1동부산광역시 금정구 부산대학로63번길 2-0, 1동 (장전동,부산대학교)<NA>부산대학교 박물관20190423161425U2019-04-25 02:40:00.0<NA>389544.971585195422.176863박물관<NA>20031008대학1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2021박물관, 미술관03_07_05_P6260000B0401201800000520180724<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 괘법동 1번지 23호 1동부산광역시 사상구 백양대로700번길 140-0, 1동 (괘법동,신라대학교)<NA>신라대학교 박물관20190430111947U2019-05-02 02:40:00.0<NA>382570.401135187694.831143박물관<NA>20010927대학1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2122박물관, 미술관03_07_05_P6260000B0401201800000620180726<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 435번지 23호부산광역시 동래구 금강로61번길 20-12 (온천동,이주홍문학관)<NA>이주홍문학관20180726165220I2018-08-31 23:59:59.0<NA>389024.601985192662.689112박물관<NA>20180726사립1종문화관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2223박물관, 미술관03_07_05_P6260000B0401201800000720180726<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 남산동 662번지 0호부산광역시 금정구 팔송로 60-6 (남산동,요산문학관)<NA>요산문학관20180726165754I2018-08-31 23:59:59.0<NA>389722.255557198994.705412박물관<NA>20061120사립1종문화관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2324박물관, 미술관03_07_05_P6260000B0401201800000820180726<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1483번지 6호부산광역시 해운대구 달맞이길117번나길 111-0 (중동,추리문학관)<NA>추리문학관20191118133420U2019-11-20 02:40:00.0<NA>398860.283608186906.987354박물관<NA>19920328사립1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2425박물관, 미술관03_07_05_P6260000B0402201200000120121203<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 626번지 6호부산광역시 해운대구 해운대로452번길 16, 2층 (우동)<NA>고은사진미술관20180703175700I2018-08-31 23:59:59.0<NA>396774.871498186675.893063미술관<NA>20110416사립1종미술관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2526박물관, 미술관03_07_05_P6260000B0402201500000120150325<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 부민동2가 1번지부산광역시 서구 구덕로 225 (부민동2가)<NA>석당미술관20190416132936U2019-04-18 02:40:00.0<NA>384047.41689180228.45255미술관<NA>20150325대학1종미술관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2627박물관, 미술관03_07_05_P6260000B0401201200000120120605<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 천성동 813번지부산광역시 강서구 가덕해안로 741 (천성동)<NA>록봉민속교육박물관20190417095158U2019-04-19 02:40:00.0<NA>365389.689435171773.266697박물관<NA>20120608사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2728박물관, 미술관03_07_05_P6260000B0401202000000120200312<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 문현동 1227번지 2호부산광역시 남구 전포대로 133-0 (문현동)<NA>증권박물관(부산관)20201127170208U2020-11-29 02:40:00.0<NA><NA><NA>박물관<NA>20191204사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2829박물관, 미술관03_07_05_P6260000B0402202100000120210127<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 521번지 1호 KT&G상상마당부산부산광역시 부산진구 서면로 39-0 (부전동,KT&G상상마당부산)<NA>KT&G 상상마당 부산미술관20210127175813I2021-01-29 00:23:13.0<NA>387394.96797185837.316568미술관<NA>20200904사립1종미술관<NA><NA><NA><NA><NA><NA><NA><NA><NA>