Overview

Dataset statistics

Number of variables42
Number of observations21
Missing cells362
Missing cells (%)41.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory370.3 B

Variable types

Numeric6
Categorical15
Text4
Unsupported17

Dataset

Description6270000_대구광역시_03_07_05_P_박물관, 미술관_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089621&dataSetDetailId=DDI_0000089639&provdMethod=FILE

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
폐업일자 is highly imbalanced (72.4%)Imbalance
데이터갱신일자 is highly imbalanced (59.1%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
소재지전화 has 21 (100.0%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명전체주소 has 3 (14.3%) missing valuesMissing
도로명우편번호 has 21 (100.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.8%) missing valuesMissing
좌표정보(Y) has 1 (4.8%) missing valuesMissing
준공일자 has 21 (100.0%) missing valuesMissing
폐관일자 has 21 (100.0%) missing valuesMissing
폐관사유 has 21 (100.0%) missing valuesMissing
자본금 has 21 (100.0%) missing valuesMissing
법인설립목적 has 21 (100.0%) missing valuesMissing
허가조건 has 21 (100.0%) missing valuesMissing
법인해산일자 has 21 (100.0%) missing valuesMissing
법인명 has 21 (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
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

Reproduction

Analysis started2024-04-18 00:05:27.884449
Analysis finished2024-04-18 00:05:28.266446
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T09:05:28.316100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-04-18T09:05:28.433258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
박물관, 미술관
21 

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 21
100.0%

Length

2024-04-18T09:05:28.546033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:28.627789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
박물관 21
50.0%
미술관 21
50.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
03_07_05_P
21 

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 21
100.0%

Length

2024-04-18T09:05:28.715866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:28.802673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_05_p 21
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
6270000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 21
100.0%

Length

2024-04-18T09:05:28.920425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:29.022336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 21
100.0%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-18T09:05:29.188414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters315
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowB04012018000001
2nd rowB04012020000001
3rd rowB04012009000001
4th rowB04012011000001
5th rowB04012011000003
ValueCountFrequency (%)
b04012018000001 1
 
4.8%
b04012017000002 1
 
4.8%
b04012017000004 1
 
4.8%
b04022017000004 1
 
4.8%
b04022017000003 1
 
4.8%
b04022017000002 1
 
4.8%
b04022017000001 1
 
4.8%
b04012017000006 1
 
4.8%
b04012017000005 1
 
4.8%
b04012017000003 1
 
4.8%
Other values (11) 11
52.4%
2024-04-18T09:05:29.503642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 171
54.3%
1 48
 
15.2%
2 30
 
9.5%
4 25
 
7.9%
B 21
 
6.7%
7 11
 
3.5%
3 3
 
1.0%
5 3
 
1.0%
8 1
 
0.3%
9 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 294
93.3%
Uppercase Letter 21
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171
58.2%
1 48
 
16.3%
2 30
 
10.2%
4 25
 
8.5%
7 11
 
3.7%
3 3
 
1.0%
5 3
 
1.0%
8 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
B 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 294
93.3%
Latin 21
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 171
58.2%
1 48
 
16.3%
2 30
 
10.2%
4 25
 
8.5%
7 11
 
3.7%
3 3
 
1.0%
5 3
 
1.0%
8 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
B 21
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 315
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171
54.3%
1 48
 
15.2%
2 30
 
9.5%
4 25
 
7.9%
B 21
 
6.7%
7 11
 
3.5%
3 3
 
1.0%
5 3
 
1.0%
8 1
 
0.3%
9 1
 
0.3%

인허가일자
Real number (ℝ)

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20103138
Minimum20010927
Maximum20200316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T09:05:29.632380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010927
5-th percentile20020520
Q120080226
median20110411
Q320121231
95-th percentile20180611
Maximum20200316
Range189389
Interquartile range (IQR)41005

Descriptive statistics

Standard deviation48039.758
Coefficient of variation (CV)0.0023896646
Kurtosis-0.037514485
Mean20103138
Median Absolute Deviation (MAD)30185
Skewness-0.018434681
Sum4.221659 × 108
Variance2.3078184 × 109
MonotonicityNot monotonic
2024-04-18T09:05:29.742750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20150812 2
 
9.5%
20080226 2
 
9.5%
20050721 2
 
9.5%
20111212 2
 
9.5%
20121231 2
 
9.5%
20070418 1
 
4.8%
20110411 1
 
4.8%
20140317 1
 
4.8%
20121204 1
 
4.8%
20091231 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
20010927 1
4.8%
20020520 1
4.8%
20050721 2
9.5%
20070418 1
4.8%
20080226 2
9.5%
20081211 1
4.8%
20091231 1
4.8%
20110328 1
4.8%
20110411 1
4.8%
20111212 2
9.5%
ValueCountFrequency (%)
20200316 1
4.8%
20180611 1
4.8%
20150812 2
9.5%
20140317 1
4.8%
20121231 2
9.5%
20121204 1
4.8%
20111212 2
9.5%
20110411 1
4.8%
20110328 1
4.8%
20091231 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
21 

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 21
100.0%

Length

2024-04-18T09:05:29.870208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:29.970195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
21 

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 21
100.0%

Length

2024-04-18T09:05:30.065025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:30.159732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
21 

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 21
100.0%

Length

2024-04-18T09:05:30.251526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:30.341378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업
21 

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 21
100.0%

Length

2024-04-18T09:05:30.439117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:30.530352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 21
100.0%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
20140507
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
20140507 1
 
4.8%

Length

2024-04-18T09:05:30.631543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:30.735348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
20140507 1
 
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지전체주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-18T09:05:30.914027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length24.666667
Min length20

Characters and Unicode

Total characters518
Distinct characters71
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

Unique19 ?
Unique (%)90.5%

Sample

1st row대구광역시 북구 산격동 1285번지
2nd row대구광역시 수성구 범어동 136번지 33호
3rd row대구광역시 수성구 수성동2가 118번지
4th row대구광역시 동구 중대동 467번지 0호
5th row대구광역시 수성구 범어동 136번지 8호
ValueCountFrequency (%)
대구광역시 21
19.6%
1호 6
 
5.6%
수성구 5
 
4.7%
0호 5
 
4.7%
중구 4
 
3.7%
동구 4
 
3.7%
북구 4
 
3.7%
산격동 3
 
2.8%
달서구 2
 
1.9%
1370번지 2
 
1.9%
Other values (49) 51
47.7%
2024-04-18T09:05:31.269835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
23.9%
구 43
 
8.3%
대 25
 
4.8%
동 24
 
4.6%
시 22
 
4.2%
지 22
 
4.2%
번 21
 
4.1%
광 21
 
4.1%
역 21
 
4.1%
1 20
 
3.9%
Other values (61) 175
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
59.8%
Space Separator 124
 
23.9%
Decimal Number 84
 
16.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 43
13.9%
대 25
 
8.1%
동 24
 
7.7%
시 22
 
7.1%
지 22
 
7.1%
번 21
 
6.8%
광 21
 
6.8%
역 21
 
6.8%
호 17
 
5.5%
성 11
 
3.5%
Other values (50) 83
26.8%
Decimal Number
ValueCountFrequency (%)
1 20
23.8%
3 14
16.7%
0 12
14.3%
4 8
 
9.5%
7 7
 
8.3%
2 7
 
8.3%
9 4
 
4.8%
6 4
 
4.8%
8 4
 
4.8%
5 4
 
4.8%
Space Separator
ValueCountFrequency (%)
124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
59.8%
Common 208
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 43
13.9%
대 25
 
8.1%
동 24
 
7.7%
시 22
 
7.1%
지 22
 
7.1%
번 21
 
6.8%
광 21
 
6.8%
역 21
 
6.8%
호 17
 
5.5%
성 11
 
3.5%
Other values (50) 83
26.8%
Common
ValueCountFrequency (%)
124
59.6%
1 20
 
9.6%
3 14
 
6.7%
0 12
 
5.8%
4 8
 
3.8%
7 7
 
3.4%
2 7
 
3.4%
9 4
 
1.9%
6 4
 
1.9%
8 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
59.8%
ASCII 208
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
59.6%
1 20
 
9.6%
3 14
 
6.7%
0 12
 
5.8%
4 8
 
3.8%
7 7
 
3.4%
2 7
 
3.4%
9 4
 
1.9%
6 4
 
1.9%
8 4
 
1.9%
Hangul
ValueCountFrequency (%)
구 43
13.9%
대 25
 
8.1%
동 24
 
7.7%
시 22
 
7.1%
지 22
 
7.1%
번 21
 
6.8%
광 21
 
6.8%
역 21
 
6.8%
호 17
 
5.5%
성 11
 
3.5%
Other values (50) 83
26.8%

도로명전체주소
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing3
Missing (%)14.3%
Memory size300.0 B
2024-04-18T09:05:31.487686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length29.444444
Min length22

Characters and Unicode

Total characters530
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st row대구광역시 북구 대동로1길 40 (산격동)
2nd row대구광역시 수성구 국채보상로186길 47-0 (범어동,박물관휴르)
3rd row대구광역시 동구 파계로112길 17-0 (중대동)
4th row대구광역시 달서구 용산로4길 32 (본리동)
5th row대구광역시 중구 국채보상로 670 (동인동2가)
ValueCountFrequency (%)
대구광역시 18
 
20.0%
동구 4
 
4.4%
중구 4
 
4.4%
북구 3
 
3.3%
달서구 3
 
3.3%
산격동,경북대학교 2
 
2.2%
80-0 2
 
2.2%
수성구 2
 
2.2%
대학로 2
 
2.2%
도학동,대구방짜유기박물관 1
 
1.1%
Other values (49) 49
54.4%
2024-04-18T09:05:31.852524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
13.6%
구 41
 
7.7%
대 33
 
6.2%
동 22
 
4.2%
0 22
 
4.2%
역 20
 
3.8%
시 20
 
3.8%
광 19
 
3.6%
( 17
 
3.2%
로 17
 
3.2%
Other values (82) 247
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
61.9%
Decimal Number 73
 
13.8%
Space Separator 72
 
13.6%
Open Punctuation 17
 
3.2%
Close Punctuation 17
 
3.2%
Dash Punctuation 13
 
2.5%
Other Punctuation 10
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 41
 
12.5%
대 33
 
10.1%
동 22
 
6.7%
역 20
 
6.1%
시 20
 
6.1%
광 19
 
5.8%
로 17
 
5.2%
달 9
 
2.7%
길 8
 
2.4%
성 8
 
2.4%
Other values (67) 131
39.9%
Decimal Number
ValueCountFrequency (%)
0 22
30.1%
1 11
15.1%
2 10
13.7%
4 8
 
11.0%
7 5
 
6.8%
5 4
 
5.5%
3 4
 
5.5%
8 3
 
4.1%
9 3
 
4.1%
6 3
 
4.1%
Space Separator
ValueCountFrequency (%)
72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
61.9%
Common 202
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 41
 
12.5%
대 33
 
10.1%
동 22
 
6.7%
역 20
 
6.1%
시 20
 
6.1%
광 19
 
5.8%
로 17
 
5.2%
달 9
 
2.7%
길 8
 
2.4%
성 8
 
2.4%
Other values (67) 131
39.9%
Common
ValueCountFrequency (%)
72
35.6%
0 22
 
10.9%
( 17
 
8.4%
) 17
 
8.4%
- 13
 
6.4%
1 11
 
5.4%
2 10
 
5.0%
, 10
 
5.0%
4 8
 
4.0%
7 5
 
2.5%
Other values (5) 17
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
61.9%
ASCII 202
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
35.6%
0 22
 
10.9%
( 17
 
8.4%
) 17
 
8.4%
- 13
 
6.4%
1 11
 
5.4%
2 10
 
5.0%
, 10
 
5.0%
4 8
 
4.0%
7 5
 
2.5%
Other values (5) 17
 
8.4%
Hangul
ValueCountFrequency (%)
구 41
 
12.5%
대 33
 
10.1%
동 22
 
6.7%
역 20
 
6.1%
시 20
 
6.1%
광 19
 
5.8%
로 17
 
5.2%
달 9
 
2.7%
길 8
 
2.4%
성 8
 
2.4%
Other values (67) 131
39.9%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-18T09:05:32.052018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.8095238
Min length5

Characters and Unicode

Total characters185
Distinct characters77
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row대구교육박물관
2nd row박물관 휴르
3rd rowDtime 대구은행 금융박물관
4th row자연염색박물관
5th row박물관 수
ValueCountFrequency (%)
박물관 4
 
12.1%
계명대학교 2
 
6.1%
미술관 2
 
6.1%
경북대학교 2
 
6.1%
대구교육박물관 1
 
3.0%
대구보건대학교 1
 
3.0%
대구향토역사관 1
 
3.0%
대구미술관 1
 
3.0%
대구문화예술회관 1
 
3.0%
극재미술관 1
 
3.0%
Other values (17) 17
51.5%
2024-04-18T09:05:32.371751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 21
 
11.4%
대 16
 
8.6%
박 13
 
7.0%
물 13
 
7.0%
12
 
6.5%
구 10
 
5.4%
교 6
 
3.2%
학 5
 
2.7%
술 5
 
2.7%
미 4
 
2.2%
Other values (67) 80
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168
90.8%
Space Separator 12
 
6.5%
Lowercase Letter 4
 
2.2%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 21
 
12.5%
대 16
 
9.5%
박 13
 
7.7%
물 13
 
7.7%
구 10
 
6.0%
교 6
 
3.6%
학 5
 
3.0%
술 5
 
3.0%
미 4
 
2.4%
경 3
 
1.8%
Other values (61) 72
42.9%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
i 1
25.0%
m 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168
90.8%
Common 12
 
6.5%
Latin 5
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 21
 
12.5%
대 16
 
9.5%
박 13
 
7.7%
물 13
 
7.7%
구 10
 
6.0%
교 6
 
3.6%
학 5
 
3.0%
술 5
 
3.0%
미 4
 
2.4%
경 3
 
1.8%
Other values (61) 72
42.9%
Latin
ValueCountFrequency (%)
D 1
20.0%
t 1
20.0%
i 1
20.0%
m 1
20.0%
e 1
20.0%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168
90.8%
ASCII 17
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 21
 
12.5%
대 16
 
9.5%
박 13
 
7.7%
물 13
 
7.7%
구 10
 
6.0%
교 6
 
3.6%
학 5
 
3.0%
술 5
 
3.0%
미 4
 
2.4%
경 3
 
1.8%
Other values (61) 72
42.9%
ASCII
ValueCountFrequency (%)
12
70.6%
D 1
 
5.9%
t 1
 
5.9%
i 1
 
5.9%
m 1
 
5.9%
e 1
 
5.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0168649 × 1013
Minimum2.0081211 × 1013
Maximum2.0200515 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T09:05:32.503695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081211 × 1013
5-th percentile2.0121231 × 1013
Q12.0171122 × 1013
median2.0171122 × 1013
Q32.0171123 × 1013
95-th percentile2.020041 × 1013
Maximum2.0200515 × 1013
Range1.19304 × 1011
Interquartile range (IQR)979070

Descriptive statistics

Standard deviation2.5143901 × 1010
Coefficient of variation (CV)0.0012466824
Kurtosis7.6138879
Mean2.0168649 × 1013
Median Absolute Deviation (MAD)11630
Skewness-2.4262125
Sum4.2354164 × 1014
Variance6.3221575 × 1020
MonotonicityNot monotonic
2024-04-18T09:05:32.640337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20180619150059 1
 
4.8%
20200410161143 1
 
4.8%
20190812170823 1
 
4.8%
20171122162045 1
 
4.8%
20171123134503 1
 
4.8%
20171123134127 1
 
4.8%
20171123133530 1
 
4.8%
20171123132759 1
 
4.8%
20171122164010 1
 
4.8%
20171122163718 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20081211145141 1
4.8%
20121231105451 1
4.8%
20171122150614 1
4.8%
20171122153912 1
4.8%
20171122153944 1
4.8%
20171122155057 1
4.8%
20171122155511 1
4.8%
20171122161219 1
4.8%
20171122162045 1
4.8%
20171122162143 1
4.8%
ValueCountFrequency (%)
20200515140630 1
4.8%
20200410161143 1
4.8%
20190812170823 1
4.8%
20180619150059 1
4.8%
20171123134503 1
4.8%
20171123134127 1
4.8%
20171123133530 1
4.8%
20171123132759 1
4.8%
20171122164010 1
4.8%
20171122163718 1
4.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
18 
U
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
85.7%
U 3
 
14.3%

Length

2024-04-18T09:05:32.756352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:32.847393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
85.7%
u 3
 
14.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2018-08-31 23:59:59.0
18 
2020-04-12 02:40:00.0
 
1
2020-05-17 02:40:00.0
 
1
2019-08-14 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-04-12 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 18
85.7%
2020-04-12 02:40:00.0 1
 
4.8%
2020-05-17 02:40:00.0 1
 
4.8%
2019-08-14 02:40:00.0 1
 
4.8%

Length

2024-04-18T09:05:32.963010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:33.071863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 18
42.9%
23:59:59.0 18
42.9%
02:40:00.0 3
 
7.1%
2020-04-12 1
 
2.4%
2020-05-17 1
 
2.4%
2019-08-14 1
 
2.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean345439.74
Minimum334461.5
Maximum353327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T09:05:33.172472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334461.5
5-th percentile340479.25
Q1343601.08
median345842.63
Q3347459.07
95-th percentile351363.06
Maximum353327
Range18865.504
Interquartile range (IQR)3857.9906

Descriptive statistics

Standard deviation3897.6648
Coefficient of variation (CV)0.011283198
Kurtosis2.8210352
Mean345439.74
Median Absolute Deviation (MAD)1687.8236
Skewness-0.7515437
Sum6908794.7
Variance15191791
MonotonicityNot monotonic
2024-04-18T09:05:33.291563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
345878.769281 2
 
9.5%
345475.069338 1
 
4.8%
347437.505709 1
 
4.8%
342391.478789 1
 
4.8%
351259.69746 1
 
4.8%
340795.977161 1
 
4.8%
342288.298074 1
 
4.8%
343519.051121 1
 
4.8%
343628.417081 1
 
4.8%
353327.002346 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
334461.497981 1
4.8%
340795.977161 1
4.8%
342288.298074 1
4.8%
342391.478789 1
4.8%
343519.051121 1
4.8%
343628.417081 1
4.8%
344548.410646 1
4.8%
345409.695942 1
4.8%
345475.069338 1
4.8%
345806.49968 1
4.8%
ValueCountFrequency (%)
353327.002346 1
4.8%
351259.69746 1
4.8%
347956.202203 1
4.8%
347537.168448 1
4.8%
347523.747715 1
4.8%
347437.505709 1
4.8%
346876.099778 1
4.8%
346795.38226 1
4.8%
345878.769281 2
9.5%
345806.49968 1
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean265851.71
Minimum255998.65
Maximum278685.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T09:05:33.424253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum255998.65
5-th percentile259662.91
Q1263126.7
median264318.81
Q3267366.39
95-th percentile276789.71
Maximum278685.4
Range22686.746
Interquartile range (IQR)4239.6863

Descriptive statistics

Standard deviation5643.5756
Coefficient of variation (CV)0.021228284
Kurtosis0.7950488
Mean265851.71
Median Absolute Deviation (MAD)2836.3583
Skewness0.93179252
Sum5317034.2
Variance31849945
MonotonicityNot monotonic
2024-04-18T09:05:33.568183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
267300.418087 2
 
9.5%
267564.303437 1
 
4.8%
264121.452806 1
 
4.8%
264901.659324 1
 
4.8%
259855.767732 1
 
4.8%
261627.701492 1
 
4.8%
262592.557777 1
 
4.8%
264287.551286 1
 
4.8%
264680.946661 1
 
4.8%
275266.995373 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
255998.649989 1
4.8%
259855.767732 1
4.8%
261124.606693 1
4.8%
261627.701492 1
4.8%
262592.557777 1
4.8%
263304.751573 1
4.8%
263382.292266 1
4.8%
263985.374959 1
4.8%
264121.452806 1
4.8%
264287.551286 1
4.8%
ValueCountFrequency (%)
278685.396459 1
4.8%
276689.936381 1
4.8%
275266.995373 1
4.8%
270013.374392 1
4.8%
267564.303437 1
4.8%
267300.418087 2
9.5%
264901.659324 1
4.8%
264680.946661 1
4.8%
264350.066199 1
4.8%
264287.551286 1
4.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
박물관
17 
미술관
4 

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 17
81.0%
미술관 4
 
19.0%

Length

2024-04-18T09:05:33.700776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:33.793748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
박물관 17
81.0%
미술관 4
 
19.0%

준공일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

개관일자
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20011652
Minimum19590528
Maximum20180615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-18T09:05:33.885300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19590528
5-th percentile19780520
Q119971001
median20070302
Q320110526
95-th percentile20171026
Maximum20180615
Range590087
Interquartile range (IQR)139525

Descriptive statistics

Standard deviation151445.18
Coefficient of variation (CV)0.0075678499
Kurtosis1.6690581
Mean20011652
Median Absolute Deviation (MAD)50929
Skewness-1.3861326
Sum4.202447 × 108
Variance2.2935643 × 1010
MonotonicityNot monotonic
2024-04-18T09:05:34.007978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20180615 1
 
4.8%
20171026 1
 
4.8%
20020509 1
 
4.8%
19971001 1
 
4.8%
20110526 1
 
4.8%
19911008 1
 
4.8%
19991031 1
 
4.8%
20070302 1
 
4.8%
19850925 1
 
4.8%
20120124 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
19590528 1
4.8%
19780520 1
4.8%
19780801 1
4.8%
19850925 1
4.8%
19911008 1
4.8%
19971001 1
4.8%
19991031 1
4.8%
20020509 1
4.8%
20020520 1
4.8%
20050630 1
4.8%
ValueCountFrequency (%)
20180615 1
4.8%
20171026 1
4.8%
20150529 1
4.8%
20121231 1
4.8%
20120124 1
4.8%
20110526 1
4.8%
20110328 1
4.8%
20101019 1
4.8%
20071001 1
4.8%
20070525 1
4.8%

설립_운영주체구분명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
공립
9 
사립
7 
대학
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 9
42.9%
사립 7
33.3%
대학 5
23.8%

Length

2024-04-18T09:05:34.128920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:34.226436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 9
42.9%
사립 7
33.3%
대학 5
23.8%

박물관미술관종류명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1종
16 
2종
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1종
2nd row1종
3rd row2종
4th row1종
5th row1종

Common Values

ValueCountFrequency (%)
1종 16
76.2%
2종 5
 
23.8%

Length

2024-04-18T09:05:34.329210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:34.422863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1종 16
76.2%
2종 5
 
23.8%

박물관미술관유형명
Categorical

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
전문박물관
11 
미술관
4 
기념관
2 
전시관
 
1
전시장
 
1
Other values (2)
2 

Length

Max length5
Median length5
Mean length4.1428571
Min length3

Unique

Unique4 ?
Unique (%)19.0%

Sample

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

Common Values

ValueCountFrequency (%)
전문박물관 11
52.4%
미술관 4
 
19.0%
기념관 2
 
9.5%
전시관 1
 
4.8%
전시장 1
 
4.8%
종합박물관 1
 
4.8%
향토관 1
 
4.8%

Length

2024-04-18T09:05:34.537625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:34.657783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문박물관 11
52.4%
미술관 4
 
19.0%
기념관 2
 
9.5%
전시관 1
 
4.8%
전시장 1
 
4.8%
종합박물관 1
 
4.8%
향토관 1
 
4.8%

폐관일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

폐관사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소요자금
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
15 
0
2 
37900000
 
1
35000000
 
1
248894000
 
1

Length

Max length11
Median length4
Mean length4.6666667
Min length1

Unique

Unique4 ?
Unique (%)19.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
71.4%
0 2
 
9.5%
37900000 1
 
4.8%
35000000 1
 
4.8%
248894000 1
 
4.8%
11535021000 1
 
4.8%

Length

2024-04-18T09:05:34.774973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:05:34.881987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
71.4%
0 2
 
9.5%
37900000 1
 
4.8%
35000000 1
 
4.8%
248894000 1
 
4.8%
11535021000 1
 
4.8%

법인설립목적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

허가조건
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

법인해산일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명준공일자개관일자설립_운영주체구분명박물관미술관종류명박물관미술관유형명폐관일자폐관사유자본금소요자금법인설립목적허가조건법인해산일자법인명
01박물관, 미술관03_07_05_P6270000B0401201800000120180611<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1285번지대구광역시 북구 대동로1길 40 (산격동)<NA>대구교육박물관20180619150059I2018-08-31 23:59:59.0<NA>345475.069338267564.303437박물관<NA>20180615공립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
12박물관, 미술관03_07_05_P6270000B0401202000000120200316<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 136번지 33호대구광역시 수성구 국채보상로186길 47-0 (범어동,박물관휴르)<NA>박물관 휴르20200410161143U2020-04-12 02:40:00.0<NA>347437.505709264121.452806박물관<NA>20171026사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
23박물관, 미술관03_07_05_P6270000B0401200900000120081211<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동2가 118번지<NA><NA>Dtime 대구은행 금융박물관20081211145141I2018-08-31 23:59:59.0<NA>345806.49968263304.751573박물관<NA>20071001사립2종전시관<NA><NA><NA><NA><NA><NA><NA><NA>
34박물관, 미술관03_07_05_P6270000B0401201100000120050721<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 중대동 467번지 0호대구광역시 동구 파계로112길 17-0 (중대동)<NA>자연염색박물관20171122155511I2018-08-31 23:59:59.0<NA>347537.168448276689.936381박물관<NA>20050630사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
45박물관, 미술관03_07_05_P6270000B0401201100000320110328<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 136번지 8호<NA><NA>박물관 수20171122162143I2018-08-31 23:59:59.0<NA>347523.747715263985.374959박물관<NA>20110328사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
56박물관, 미술관03_07_05_P6270000B0401201100000420111212<NA>1영업/정상1영업20140507<NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 943번지 4호대구광역시 달서구 용산로4길 32 (본리동)<NA>온 어린이 박물관20171122150614I2018-08-31 23:59:59.0<NA>346795.38226261124.606693박물관<NA>20101019사립2종전시장<NA><NA><NA><NA><NA><NA><NA><NA>
67박물관, 미술관03_07_05_P6270000B0401201200000120121231<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동2가 42번지대구광역시 중구 국채보상로 670 (동인동2가)<NA>국채보상운동기념관20121231105451I2018-08-31 23:59:59.0<NA>344548.410646264350.066199박물관<NA>20121231공립2종기념관<NA><NA><NA><NA><NA><NA><NA><NA>
78박물관, 미술관03_07_05_P6270000B0401201400000120020520<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 덕곡동 34번지 7호대구광역시 동구 팔공산로 225-34 (덕곡동)<NA>전통산업박물관20171122155057I2018-08-31 23:59:59.0<NA>345409.695942278685.396459박물관<NA>20020520사립2종기념관<NA><NA><NA><NA><NA><NA><NA><NA>
89박물관, 미술관03_07_05_P6270000B0401201500000120150812<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 534번지 1호대구광역시 달성군 가창면 가창로 1003<NA>농경생활사박물관20171122162244I2018-08-31 23:59:59.0<NA>346876.099778255998.649989박물관<NA>19780801사립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
910박물관, 미술관03_07_05_P6270000B0401201500000220150812<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 봉무동 1560번지 1호대구광역시 동구 팔공로 227 (봉무동)<NA>대구섬유박물관20200515140630U2020-05-17 02:40:00.0<NA>347956.202203270013.374392박물관<NA>20150529공립1종종합박물관<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명준공일자개관일자설립_운영주체구분명박물관미술관종류명박물관미술관유형명폐관일자폐관사유자본금소요자금법인설립목적허가조건법인해산일자법인명
1112박물관, 미술관03_07_05_P6270000B0401201700000220050721<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1370번지 1호대구광역시 북구 대학로 80-0 (산격동,경북대학교)<NA>경북대학교 박물관20171122153912I2018-08-31 23:59:59.0<NA>345878.769281267300.418087박물관<NA>19590528대학1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
1213박물관, 미술관03_07_05_P6270000B0401201700000320080226<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 도학동 399번지 0호 대구방짜유기박물관대구광역시 동구 도장길 29-0 (도학동,대구방짜유기박물관)<NA>대구방짜유기박물관20171122161219I2018-08-31 23:59:59.0<NA>353327.002346275266.995373박물관<NA>20070525공립1종전문박물관<NA><NA><NA>0<NA><NA><NA><NA>
1314박물관, 미술관03_07_05_P6270000B0401201700000520121231<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 33번지 0호대구광역시 중구 경상감영길 67-0 (포정동,대구근대역사관)<NA>대구근대역사관20171122163718I2018-08-31 23:59:59.0<NA>343628.417081264680.946661박물관<NA>20120124공립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
1415박물관, 미술관03_07_05_P6270000B0401201700000620111212<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남성로 51번지 1호 약령시한의약문화관대구광역시 중구 달구벌대로415길 49-0 (남성로,약령시한의약문화관)<NA>대구약령시한의약박물관20171122164010I2018-08-31 23:59:59.0<NA>343519.051121264287.551286박물관<NA>19850925공립1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>
1516박물관, 미술관03_07_05_P6270000B0402201700000120091231<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1370번지 1호대구광역시 북구 대학로 80-0 (산격동,경북대학교)<NA>경북대학교 미술관20171123132759I2018-08-31 23:59:59.0<NA>345878.769281267300.418087미술관<NA>20070302대학1종미술관<NA><NA><NA>37900000<NA><NA><NA><NA>
1617박물관, 미술관03_07_05_P6270000B0402201700000220121204<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 2301번지 11호대구광역시 남구 명덕로12길 104-0 (대명동)<NA>계명대학교 극재미술관20171123133530I2018-08-31 23:59:59.0<NA>342288.298074262592.557777미술관<NA>19991031대학1종미술관<NA><NA><NA>35000000<NA><NA><NA><NA>
1718박물관, 미술관03_07_05_P6270000B0402201700000320140317<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 187번지 0호대구광역시 달서구 공원순환로 201-0 (성당동,대구광역시문화예술회관)<NA>대구문화예술회관 미술관20171123134127I2018-08-31 23:59:59.0<NA>340795.977161261627.701492미술관<NA>19911008공립1종미술관<NA><NA><NA>248894000<NA><NA><NA><NA>
1819박물관, 미술관03_07_05_P6270000B0402201700000420110411<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 삼덕동 374번지 0호 대구미술관대구광역시 수성구 미술관로 40-0 (삼덕동,대구미술관)<NA>대구미술관20171123134503I2018-08-31 23:59:59.0<NA>351259.69746259855.767732미술관<NA>20110526공립1종미술관<NA><NA><NA>11535021000<NA><NA><NA><NA>
1920박물관, 미술관03_07_05_P6270000B0401201700000420080226<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 달성동 294번지 1호 달성공원대구광역시 중구 달성공원로 35-0 (달성동,달성공원)<NA>대구향토역사관20171122162045I2018-08-31 23:59:59.0<NA>342391.478789264901.659324박물관<NA>19971001공립2종향토관<NA><NA><NA><NA><NA><NA><NA><NA>
2021박물관, 미술관03_07_05_P6270000B0401200700000120070418<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 태전동 산 7번지<NA><NA>대구보건대학교 인당뮤지엄20190812170823U2019-08-14 02:40:00.0<NA><NA><NA>박물관<NA>20020509대학1종전문박물관<NA><NA><NA><NA><NA><NA><NA><NA>