Overview

Dataset statistics

Number of variables43
Number of observations28
Missing cells534
Missing cells (%)44.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory377.7 B

Variable types

Numeric6
Categorical14
Text4
Unsupported19

Dataset

Description2021-01-04
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 (62.9%)Imbalance
인허가취소일자 has 28 (100.0%) missing valuesMissing
폐업일자 has 28 (100.0%) missing valuesMissing
휴업시작일자 has 28 (100.0%) missing valuesMissing
휴업종료일자 has 28 (100.0%) missing valuesMissing
재개업일자 has 28 (100.0%) missing valuesMissing
소재지전화 has 28 (100.0%) missing valuesMissing
소재지면적 has 28 (100.0%) missing valuesMissing
소재지우편번호 has 28 (100.0%) missing valuesMissing
도로명우편번호 has 28 (100.0%) missing valuesMissing
업태구분명 has 28 (100.0%) missing valuesMissing
좌표정보(x) has 1 (3.6%) missing valuesMissing
좌표정보(y) has 1 (3.6%) missing valuesMissing
준공일자 has 28 (100.0%) missing valuesMissing
폐관일자 has 28 (100.0%) missing valuesMissing
폐관사유 has 28 (100.0%) missing valuesMissing
자본금 has 28 (100.0%) missing valuesMissing
법인설립목적 has 28 (100.0%) missing valuesMissing
허가조건 has 28 (100.0%) missing valuesMissing
법인해산일자 has 28 (100.0%) missing valuesMissing
법인명 has 28 (100.0%) missing valuesMissing
Unnamed: 42 has 28 (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 20:55:37.351512
Analysis finished2024-04-16 20:55:37.672439
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-17T05:55:37.718619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-04-17T05:55:38.045043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
박물관, 미술관
28 

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 28
100.0%

Length

2024-04-17T05:55:38.135312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:38.201314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
박물관 28
50.0%
미술관 28
50.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
03_07_05_P
28 

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 28
100.0%

Length

2024-04-17T05:55:38.283414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:38.351788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_05_p 28
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
6260000
28 

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 28
100.0%

Length

2024-04-17T05:55:38.427946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:38.495962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 28
100.0%

관리번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-17T05:55:38.629149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters420
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowB04012019000001
2nd rowB04011992000001
3rd rowB04011993000001
4th rowB04012007000001
5th rowB04012008000001
ValueCountFrequency (%)
b04012019000001 1
 
3.6%
b04011992000001 1
 
3.6%
b04012012000001 1
 
3.6%
b04022015000001 1
 
3.6%
b04022012000001 1
 
3.6%
b04012018000008 1
 
3.6%
b04012018000007 1
 
3.6%
b04012018000006 1
 
3.6%
b04012018000005 1
 
3.6%
b04012018000004 1
 
3.6%
Other values (18) 18
64.3%
2024-04-17T05:55:38.887911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 228
54.3%
1 58
 
13.8%
2 42
 
10.0%
4 31
 
7.4%
B 28
 
6.7%
8 14
 
3.3%
9 8
 
1.9%
3 5
 
1.2%
7 3
 
0.7%
5 2
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
93.3%
Uppercase Letter 28
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 228
58.2%
1 58
 
14.8%
2 42
 
10.7%
4 31
 
7.9%
8 14
 
3.6%
9 8
 
2.0%
3 5
 
1.3%
7 3
 
0.8%
5 2
 
0.5%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
B 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 392
93.3%
Latin 28
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 228
58.2%
1 58
 
14.8%
2 42
 
10.7%
4 31
 
7.9%
8 14
 
3.6%
9 8
 
2.0%
3 5
 
1.3%
7 3
 
0.8%
5 2
 
0.5%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
B 28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
54.3%
1 58
 
13.8%
2 42
 
10.0%
4 31
 
7.4%
B 28
 
6.7%
8 14
 
3.3%
9 8
 
1.9%
3 5
 
1.2%
7 3
 
0.7%
5 2
 
0.5%

인허가일자
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20100020
Minimum19921221
Maximum20200312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-17T05:55:38.992702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19921221
5-th percentile19941360
Q120038659
median20121072
Q320180530
95-th percentile20180970
Maximum20200312
Range279091
Interquartile range (IQR)141871.25

Descriptive statistics

Standard deviation82674.561
Coefficient of variation (CV)0.0041131582
Kurtosis-0.47766203
Mean20100020
Median Absolute Deviation (MAD)59555.5
Skewness-0.76326267
Sum5.6280056 × 108
Variance6.8350831 × 109
MonotonicityNot monotonic
2024-04-17T05:55:39.081933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20180726 3
 
10.7%
20180530 2
 
7.1%
20181101 1
 
3.6%
20170824 1
 
3.6%
20200312 1
 
3.6%
20120605 1
 
3.6%
20150325 1
 
3.6%
20121203 1
 
3.6%
20180724 1
 
3.6%
20031008 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
19921221 1
3.6%
19930729 1
3.6%
19961102 1
3.6%
20000812 1
3.6%
20010319 1
3.6%
20011128 1
3.6%
20031008 1
3.6%
20041209 1
3.6%
20070321 1
3.6%
20080625 1
3.6%
ValueCountFrequency (%)
20200312 1
 
3.6%
20181101 1
 
3.6%
20180726 3
10.7%
20180724 1
 
3.6%
20180530 2
7.1%
20170824 1
 
3.6%
20150327 1
 
3.6%
20150325 1
 
3.6%
20140929 1
 
3.6%
20121203 1
 
3.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
28 

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 28
100.0%

Length

2024-04-17T05:55:39.176444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:39.245432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업/정상
28 

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 28
100.0%

Length

2024-04-17T05:55:39.316921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:39.388381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
28 

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 28
100.0%

Length

2024-04-17T05:55:39.460496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:39.540280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업
28 

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 28
100.0%

Length

2024-04-17T05:55:39.618353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:39.690834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 28
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B
Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-17T05:55:39.852385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length22.607143
Min length18

Characters and Unicode

Total characters633
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

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 28
 
19.6%
1호 8
 
5.6%
금정구 6
 
4.2%
남구 6
 
4.2%
1동 5
 
3.5%
대연동 4
 
2.8%
1번지 4
 
2.8%
동래구 4
 
2.8%
서구 3
 
2.1%
37번지 2
 
1.4%
Other values (62) 73
51.0%
2024-04-17T05:55:40.150521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
19.3%
40
 
6.3%
35
 
5.5%
32
 
5.1%
29
 
4.6%
1 29
 
4.6%
28
 
4.4%
28
 
4.4%
28
 
4.4%
28
 
4.4%
Other values (45) 234
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 391
61.8%
Space Separator 122
 
19.3%
Decimal Number 120
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
10.2%
35
 
9.0%
32
 
8.2%
29
 
7.4%
28
 
7.2%
28
 
7.2%
28
 
7.2%
28
 
7.2%
28
 
7.2%
23
 
5.9%
Other values (34) 92
23.5%
Decimal Number
ValueCountFrequency (%)
1 29
24.2%
2 16
13.3%
4 15
12.5%
3 12
10.0%
0 11
 
9.2%
7 10
 
8.3%
6 10
 
8.3%
5 7
 
5.8%
8 6
 
5.0%
9 4
 
3.3%
Space Separator
ValueCountFrequency (%)
122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
61.8%
Common 242
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
10.2%
35
 
9.0%
32
 
8.2%
29
 
7.4%
28
 
7.2%
28
 
7.2%
28
 
7.2%
28
 
7.2%
28
 
7.2%
23
 
5.9%
Other values (34) 92
23.5%
Common
ValueCountFrequency (%)
122
50.4%
1 29
 
12.0%
2 16
 
6.6%
4 15
 
6.2%
3 12
 
5.0%
0 11
 
4.5%
7 10
 
4.1%
6 10
 
4.1%
5 7
 
2.9%
8 6
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 391
61.8%
ASCII 242
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
50.4%
1 29
 
12.0%
2 16
 
6.6%
4 15
 
6.2%
3 12
 
5.0%
0 11
 
4.5%
7 10
 
4.1%
6 10
 
4.1%
5 7
 
2.9%
8 6
 
2.5%
Hangul
ValueCountFrequency (%)
40
10.2%
35
 
9.0%
32
 
8.2%
29
 
7.4%
28
 
7.2%
28
 
7.2%
28
 
7.2%
28
 
7.2%
28
 
7.2%
23
 
5.9%
Other values (34) 92
23.5%
Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-17T05:55:40.380297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length30.857143
Min length22

Characters and Unicode

Total characters864
Distinct characters116
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

Unique26 ?
Unique (%)92.9%

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 28
 
18.2%
1동 7
 
4.5%
남구 6
 
3.9%
금정구 6
 
3.9%
동래구 4
 
2.6%
서구 3
 
1.9%
구덕로 2
 
1.3%
대연동,경성대학교 2
 
1.3%
225 2
 
1.3%
해운대구 2
 
1.3%
Other values (87) 92
59.7%
2024-04-17T05:55:40.730470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
14.6%
44
 
5.1%
39
 
4.5%
36
 
4.2%
1 33
 
3.8%
30
 
3.5%
30
 
3.5%
0 30
 
3.5%
29
 
3.4%
28
 
3.2%
Other values (106) 439
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
59.1%
Decimal Number 133
 
15.4%
Space Separator 126
 
14.6%
Open Punctuation 28
 
3.2%
Close Punctuation 28
 
3.2%
Other Punctuation 22
 
2.5%
Dash Punctuation 14
 
1.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
8.6%
39
 
7.6%
36
 
7.0%
30
 
5.9%
30
 
5.9%
29
 
5.7%
28
 
5.5%
26
 
5.1%
20
 
3.9%
11
 
2.2%
Other values (90) 218
42.7%
Decimal Number
ValueCountFrequency (%)
1 33
24.8%
0 30
22.6%
2 18
13.5%
3 12
 
9.0%
6 12
 
9.0%
5 9
 
6.8%
7 8
 
6.0%
4 7
 
5.3%
9 4
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
U 1
50.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
59.1%
Common 351
40.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
8.6%
39
 
7.6%
36
 
7.0%
30
 
5.9%
30
 
5.9%
29
 
5.7%
28
 
5.5%
26
 
5.1%
20
 
3.9%
11
 
2.2%
Other values (90) 218
42.7%
Common
ValueCountFrequency (%)
126
35.9%
1 33
 
9.4%
0 30
 
8.5%
( 28
 
8.0%
) 28
 
8.0%
, 22
 
6.3%
2 18
 
5.1%
- 14
 
4.0%
3 12
 
3.4%
6 12
 
3.4%
Other values (4) 28
 
8.0%
Latin
ValueCountFrequency (%)
N 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
59.1%
ASCII 353
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
35.7%
1 33
 
9.3%
0 30
 
8.5%
( 28
 
7.9%
) 28
 
7.9%
, 22
 
6.2%
2 18
 
5.1%
- 14
 
4.0%
3 12
 
3.4%
6 12
 
3.4%
Other values (6) 30
 
8.5%
Hangul
ValueCountFrequency (%)
44
 
8.6%
39
 
7.6%
36
 
7.0%
30
 
5.9%
30
 
5.9%
29
 
5.7%
28
 
5.5%
26
 
5.1%
20
 
3.9%
11
 
2.2%
Other values (90) 218
42.7%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

사업장명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-17T05:55:40.887498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.1071429
Min length5

Characters and Unicode

Total characters227
Distinct characters87
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

Unique28 ?
Unique (%)100.0%

Sample

1st row한국거래소 자본시장역사박물관
2nd row부산광역시립박물관
3rd row복천박물관
4th row부산포민속박물관
5th row범어사 성보박물관
ValueCountFrequency (%)
박물관 4
 
11.4%
한국거래소 1
 
2.9%
자본시장역사박물관 1
 
2.9%
록봉민속교육박물관 1
 
2.9%
석당미술관 1
 
2.9%
고은사진미술관 1
 
2.9%
추리문학관 1
 
2.9%
요산문학관 1
 
2.9%
이주홍문학관 1
 
2.9%
신라대학교 1
 
2.9%
Other values (22) 22
62.9%
2024-04-17T05:55:41.132133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
12.8%
15
 
6.6%
15
 
6.6%
10
 
4.4%
9
 
4.0%
8
 
3.5%
8
 
3.5%
7
 
3.1%
7
 
3.1%
7
 
3.1%
Other values (77) 112
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
94.7%
Space Separator 7
 
3.1%
Uppercase Letter 3
 
1.3%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
13.5%
15
 
7.0%
15
 
7.0%
10
 
4.7%
9
 
4.2%
8
 
3.7%
8
 
3.7%
7
 
3.3%
7
 
3.3%
7
 
3.3%
Other values (71) 100
46.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
D 1
33.3%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
94.7%
Common 9
 
4.0%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
13.5%
15
 
7.0%
15
 
7.0%
10
 
4.7%
9
 
4.2%
8
 
3.7%
8
 
3.7%
7
 
3.3%
7
 
3.3%
7
 
3.3%
Other values (71) 100
46.5%
Common
ValueCountFrequency (%)
7
77.8%
( 1
 
11.1%
) 1
 
11.1%
Latin
ValueCountFrequency (%)
T 1
33.3%
D 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
94.7%
ASCII 12
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
 
13.5%
15
 
7.0%
15
 
7.0%
10
 
4.7%
9
 
4.2%
8
 
3.7%
8
 
3.7%
7
 
3.3%
7
 
3.3%
7
 
3.3%
Other values (71) 100
46.5%
ASCII
ValueCountFrequency (%)
7
58.3%
( 1
 
8.3%
T 1
 
8.3%
D 1
 
8.3%
O 1
 
8.3%
) 1
 
8.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0180607 × 1013
Minimum2.0111031 × 1013
Maximum2.0201127 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-17T05:55:41.234255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111031 × 1013
5-th percentile2.0114526 × 1013
Q12.0180703 × 1013
median2.0190417 × 1013
Q32.0190425 × 1013
95-th percentile2.0200207 × 1013
Maximum2.0201127 × 1013
Range9.0096084 × 1010
Interquartile range (IQR)9.7217189 × 109

Descriptive statistics

Standard deviation2.4177331 × 1010
Coefficient of variation (CV)0.0011980478
Kurtosis4.7708611
Mean2.0180607 × 1013
Median Absolute Deviation (MAD)5.0084742 × 109
Skewness-2.3935299
Sum5.65057 × 1014
Variance5.8454336 × 1020
MonotonicityNot monotonic
2024-04-17T05:55:41.332187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20190430181358 1
 
3.6%
20181101184952 1
 
3.6%
20201127170208 1
 
3.6%
20190417095158 1
 
3.6%
20190416132936 1
 
3.6%
20180703175700 1
 
3.6%
20191118133420 1
 
3.6%
20180726165754 1
 
3.6%
20180726165220 1
 
3.6%
20190430111947 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
20111031085821 1
3.6%
20111031090155 1
3.6%
20121017132939 1
3.6%
20180531101321 1
3.6%
20180703175700 1
3.6%
20180703175718 1
3.6%
20180703175820 1
3.6%
20180703181632 1
3.6%
20180726165220 1
3.6%
20180726165754 1
3.6%
ValueCountFrequency (%)
20201127170208 1
3.6%
20200207145250 1
3.6%
20200207090841 1
3.6%
20191118133420 1
3.6%
20190430181448 1
3.6%
20190430181358 1
3.6%
20190430111947 1
3.6%
20190423161425 1
3.6%
20190417181035 1
3.6%
20190417100238 1
3.6%
Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
U
18 
I
10 

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
64.3%
I 10
35.7%

Length

2024-04-17T05:55:41.427129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:41.500622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 18
64.3%
i 10
35.7%
Distinct10
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2018-08-31 23:59:59.0
10 
2019-04-19 02:40:00.0
2019-05-02 02:40:00.0
2020-02-09 02:40:00.0
2019-03-13 02:40:00.0
 
1
Other values (5)

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)21.4%

Sample

1st row2019-05-02 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2019-04-19 02:40:00.0
5th row2019-04-19 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 10
35.7%
2019-04-19 02:40:00.0 7
25.0%
2019-05-02 02:40:00.0 3
 
10.7%
2020-02-09 02:40:00.0 2
 
7.1%
2019-03-13 02:40:00.0 1
 
3.6%
2018-11-03 02:36:16.0 1
 
3.6%
2019-04-25 02:40:00.0 1
 
3.6%
2019-11-20 02:40:00.0 1
 
3.6%
2019-04-18 02:40:00.0 1
 
3.6%
2020-11-29 02:40:00.0 1
 
3.6%

Length

2024-04-17T05:55:41.578871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:41.682345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02:40:00.0 17
30.4%
2018-08-31 10
17.9%
23:59:59.0 10
17.9%
2019-04-19 7
12.5%
2019-05-02 3
 
5.4%
2020-02-09 2
 
3.6%
2019-03-13 1
 
1.8%
2018-11-03 1
 
1.8%
02:36:16.0 1
 
1.8%
2019-04-25 1
 
1.8%
Other values (3) 3
 
5.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean387532.46
Minimum365389.69
Maximum398860.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-17T05:55:41.787197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365389.69
5-th percentile378730.31
Q1385520.9
median388927.03
Q3390518.78
95-th percentile395309.23
Maximum398860.28
Range33470.594
Interquartile range (IQR)4997.8824

Descriptive statistics

Standard deviation6169.0856
Coefficient of variation (CV)0.015918888
Kurtosis5.9373472
Mean387532.46
Median Absolute Deviation (MAD)2257.5041
Skewness-1.7136121
Sum10463376
Variance38057617
MonotonicityNot monotonic
2024-04-17T05:55:41.898567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
391889.405805888 2
 
7.1%
384047.41688983 2
 
7.1%
388182.381367829 1
 
3.6%
365389.689435116 1
 
3.6%
396774.871498082 1
 
3.6%
398860.283607731 1
 
3.6%
389722.255556834 1
 
3.6%
389024.601984689 1
 
3.6%
382570.401135476 1
 
3.6%
389544.971585 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
365389.689435116 1
3.6%
377084.559256488 1
3.6%
382570.401135476 1
3.6%
383865.701686792 1
3.6%
384047.41688983 2
7.1%
385355.171440305 1
3.6%
385686.625993097 1
3.6%
385742.944605 1
3.6%
386901.558003655 1
3.6%
387670.269977414 1
3.6%
ValueCountFrequency (%)
398860.283607731 1
3.6%
396774.871498082 1
3.6%
391889.405805888 2
7.1%
391184.538799756 1
3.6%
390777.995642904 1
3.6%
390742.0 1
3.6%
390295.562308138 1
3.6%
390073.926684164 1
3.6%
389722.255556834 1
3.6%
389544.971585 1
3.6%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean187283.24
Minimum171773.27
Maximum200280.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-17T05:55:41.992016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171773.27
5-th percentile180023.8
Q1181734.16
median185976.5
Q3193020.33
95-th percentile198312.23
Maximum200280.93
Range28507.661
Interquartile range (IQR)11286.169

Descriptive statistics

Standard deviation7048.7186
Coefficient of variation (CV)0.037636676
Kurtosis-0.55416196
Mean187283.24
Median Absolute Deviation (MAD)5748.0482
Skewness0.08860669
Sum5056647.4
Variance49684434
MonotonicityNot monotonic
2024-04-17T05:55:42.080767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
184230.318087492 2
 
7.1%
180228.452549615 2
 
7.1%
185024.662471639 1
 
3.6%
171773.266697356 1
 
3.6%
186675.893062558 1
 
3.6%
186906.987353943 1
 
3.6%
198994.705411505 1
 
3.6%
192662.689111708 1
 
3.6%
187694.831142962 1
 
3.6%
195422.176863 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
171773.266697356 1
3.6%
179985.383717232 1
3.6%
180113.437627391 1
3.6%
180228.452549615 2
7.1%
180662.690659762 1
3.6%
180773.326305808 1
3.6%
182695.0 1
3.6%
183167.67084041 1
3.6%
184230.318087492 2
7.1%
185024.662471639 1
3.6%
ValueCountFrequency (%)
200280.928194344 1
3.6%
198994.705411505 1
3.6%
196719.797642989 1
3.6%
196112.15967406 1
3.6%
195422.176863 1
3.6%
194155.289694453 1
3.6%
193377.976082591 1
3.6%
192662.689111708 1
3.6%
191730.637114022 1
3.6%
191707.832192142 1
3.6%
Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
박물관
21 
미술관

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
75.0%
미술관 7
 
25.0%

Length

2024-04-17T05:55:42.174846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:42.250459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
박물관 21
75.0%
미술관 7
 
25.0%

준공일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

개관일자
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20025389
Minimum19591101
Maximum20191204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-17T05:55:42.327397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19591101
5-th percentile19767834
Q119968427
median20050867
Q320150326
95-th percentile20180970
Maximum20191204
Range600103
Interquartile range (IQR)181898.5

Descriptive statistics

Standard deviation152626.46
Coefficient of variation (CV)0.0076216478
Kurtosis1.0241889
Mean20025389
Median Absolute Deviation (MAD)94798.5
Skewness-1.1414639
Sum5.607109 × 108
Variance2.3294837 × 1010
MonotonicityNot monotonic
2024-04-17T05:55:42.427729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20181101 1
 
3.6%
20170704 1
 
3.6%
20191204 1
 
3.6%
20120608 1
 
3.6%
20150325 1
 
3.6%
20110416 1
 
3.6%
19920328 1
 
3.6%
20061120 1
 
3.6%
20180726 1
 
3.6%
20010927 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
19591101 1
3.6%
19760901 1
3.6%
19780711 1
3.6%
19820925 1
3.6%
19840625 1
3.6%
19920328 1
3.6%
19961005 1
3.6%
19970901 1
3.6%
19971202 1
3.6%
20010319 1
3.6%
ValueCountFrequency (%)
20191204 1
3.6%
20181101 1
3.6%
20180726 1
3.6%
20180615 1
3.6%
20180610 1
3.6%
20170704 1
3.6%
20150327 1
3.6%
20150325 1
3.6%
20141006 1
3.6%
20120608 1
3.6%
Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
사립
14 
대학
공립
국립

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 14
50.0%
대학 7
25.0%
공립 4
 
14.3%
국립 3
 
10.7%

Length

2024-04-17T05:55:42.527674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:42.612176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 14
50.0%
대학 7
25.0%
공립 4
 
14.3%
국립 3
 
10.7%

박물관미술관종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
1종
28 

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 28
100.0%

Length

2024-04-17T05:55:42.700144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:42.771875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1종 28
100.0%
Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
전문박물관
15 
미술관
종합박물관
문화관
<NA>
 
1

Length

Max length5
Median length5
Mean length4.3214286
Min length3

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
전문박물관 15
53.6%
미술관 7
25.0%
종합박물관 3
 
10.7%
문화관 2
 
7.1%
<NA> 1
 
3.6%

Length

2024-04-17T05:55:42.874069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:42.967055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문박물관 15
53.6%
미술관 7
25.0%
종합박물관 3
 
10.7%
문화관 2
 
7.1%
na 1
 
3.6%

폐관일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

폐관사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소요자금
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-04-17T05:55:43.060227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:55:43.138432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

법인설립목적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

허가조건
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

법인해산일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

Unnamed: 42
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 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
1819박물관, 미술관03_07_05_P6260000B0401201800000320010319<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 37번지 1호 1동부산광역시 남구 수영로 309-0, 1동 (대연동,경성대학교)<NA>경성대학교 박물관20200207090841U2020-02-09 02:40:00.0<NA>391889.405806184230.318087박물관<NA>20010319대학1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA><NA>
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>
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