Overview

Dataset statistics

Number of variables42
Number of observations225
Missing cells3992
Missing cells (%)42.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.3 KiB
Average record size in memory365.6 B

Variable types

Numeric7
Categorical11
Text7
Unsupported16
DateTime1

Dataset

Description6270000_대구광역시_03_08_03_P_문화예술법인_3월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089038&dataSetDetailId=DDI_0000089072&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
인허가취소일자 is highly imbalanced (92.9%)Imbalance
소재지면적 is highly imbalanced (73.3%)Imbalance
법인해산일자 is highly imbalanced (92.9%)Imbalance
상세영업상태명 has 225 (100.0%) missing valuesMissing
폐업일자 has 225 (100.0%) missing valuesMissing
휴업시작일자 has 225 (100.0%) missing valuesMissing
휴업종료일자 has 225 (100.0%) missing valuesMissing
재개업일자 has 225 (100.0%) missing valuesMissing
소재지전화 has 70 (31.1%) missing valuesMissing
소재지우편번호 has 225 (100.0%) missing valuesMissing
도로명전체주소 has 14 (6.2%) missing valuesMissing
도로명우편번호 has 216 (96.0%) missing valuesMissing
업태구분명 has 225 (100.0%) missing valuesMissing
좌표정보(X) has 11 (4.9%) missing valuesMissing
좌표정보(Y) has 11 (4.9%) missing valuesMissing
준공일자 has 225 (100.0%) missing valuesMissing
개관일자 has 225 (100.0%) missing valuesMissing
설립_운영주체구분명 has 225 (100.0%) missing valuesMissing
박물관미술관종류명 has 225 (100.0%) missing valuesMissing
박물관미술관유형명 has 225 (100.0%) missing valuesMissing
폐관일자 has 225 (100.0%) missing valuesMissing
폐관사유 has 225 (100.0%) missing valuesMissing
자본금 has 225 (100.0%) missing valuesMissing
소요자금 has 225 (100.0%) missing valuesMissing
허가조건 has 70 (31.1%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
상세영업상태명 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
소재지우편번호 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
개관일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설립_운영주체구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
박물관미술관종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
박물관미술관유형명 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
소요자금 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 18:46:28.977839
Analysis finished2024-04-21 18:46:30.692009
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113
Minimum1
Maximum225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-22T03:46:30.890957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.2
Q157
median113
Q3169
95-th percentile213.8
Maximum225
Range224
Interquartile range (IQR)112

Descriptive statistics

Standard deviation65.096083
Coefficient of variation (CV)0.57607153
Kurtosis-1.2
Mean113
Median Absolute Deviation (MAD)56
Skewness0
Sum25425
Variance4237.5
MonotonicityStrictly increasing
2024-04-22T03:46:31.312742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
170 1
 
0.4%
144 1
 
0.4%
145 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
Other values (215) 215
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%
217 1
0.4%
216 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
문화예술법인
225 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화예술법인 225
100.0%

Length

2024-04-22T03:46:31.711951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:32.019715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화예술법인 225
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
03_08_03_P
225 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_08_03_P
2nd row03_08_03_P
3rd row03_08_03_P
4th row03_08_03_P
5th row03_08_03_P

Common Values

ValueCountFrequency (%)
03_08_03_P 225
100.0%

Length

2024-04-22T03:46:32.580981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:32.893786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_08_03_p 225
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
6270000
225 

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 225
100.0%

Length

2024-04-22T03:46:33.220864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:33.528822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 225
100.0%

관리번호
Text

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T03:46:34.180678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4500
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

Unique225 ?
Unique (%)100.0%

Sample

1st rowA0100627000020060043
2nd rowA0100627000020060044
3rd rowA0100627000020060046
4th rowA0100627000020060047
5th rowA0100627000020060048
ValueCountFrequency (%)
a0100627000020060043 1
 
0.4%
a0100627000020140008 1
 
0.4%
a0100627000020060023 1
 
0.4%
a0100627000020100001 1
 
0.4%
a0100627000020100004 1
 
0.4%
a0100627000020190002 1
 
0.4%
a0100627000020190001 1
 
0.4%
a0100627000020190007 1
 
0.4%
a0100627000020190008 1
 
0.4%
a0100627000020190006 1
 
0.4%
Other values (215) 215
95.6%
2024-04-22T03:46:35.275618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2460
54.7%
2 539
 
12.0%
1 492
 
10.9%
6 297
 
6.6%
7 265
 
5.9%
A 225
 
5.0%
3 55
 
1.2%
8 50
 
1.1%
4 44
 
1.0%
9 38
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4275
95.0%
Uppercase Letter 225
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2460
57.5%
2 539
 
12.6%
1 492
 
11.5%
6 297
 
6.9%
7 265
 
6.2%
3 55
 
1.3%
8 50
 
1.2%
4 44
 
1.0%
9 38
 
0.9%
5 35
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
A 225
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4275
95.0%
Latin 225
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2460
57.5%
2 539
 
12.6%
1 492
 
11.5%
6 297
 
6.9%
7 265
 
6.2%
3 55
 
1.3%
8 50
 
1.2%
4 44
 
1.0%
9 38
 
0.9%
5 35
 
0.8%
Latin
ValueCountFrequency (%)
A 225
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2460
54.7%
2 539
 
12.0%
1 492
 
10.9%
6 297
 
6.6%
7 265
 
5.9%
A 225
 
5.0%
3 55
 
1.2%
8 50
 
1.1%
4 44
 
1.0%
9 38
 
0.8%

인허가일자
Real number (ℝ)

Distinct207
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099985
Minimum19340115
Maximum20210316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-22T03:46:35.706563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19340115
5-th percentile19970501
Q120080227
median20120731
Q320161209
95-th percentile20200671
Maximum20210316
Range870201
Interquartile range (IQR)80982

Descriptive statistics

Standard deviation115762.19
Coefficient of variation (CV)0.005759317
Kurtosis17.513606
Mean20099985
Median Absolute Deviation (MAD)40481
Skewness-3.6139639
Sum4.5224967 × 109
Variance1.3400884 × 1010
MonotonicityNot monotonic
2024-04-22T03:46:36.149805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120306 4
 
1.8%
20151216 2
 
0.9%
20121006 2
 
0.9%
20130315 2
 
0.9%
20120427 2
 
0.9%
20080227 2
 
0.9%
20190730 2
 
0.9%
20180312 2
 
0.9%
20181004 2
 
0.9%
20091005 2
 
0.9%
Other values (197) 203
90.2%
ValueCountFrequency (%)
19340115 1
0.4%
19380618 1
0.4%
19571231 1
0.4%
19661112 1
0.4%
19671006 1
0.4%
19691104 1
0.4%
19800306 1
0.4%
19811114 1
0.4%
19870411 1
0.4%
19880502 1
0.4%
ValueCountFrequency (%)
20210316 1
0.4%
20210305 1
0.4%
20210115 1
0.4%
20201231 2
0.9%
20201203 1
0.4%
20201124 1
0.4%
20201030 1
0.4%
20201019 1
0.4%
20200923 1
0.4%
20200810 1
0.4%

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
221 
20091104
 
1
20210108
 
1
20131224
 
1
20170420
 
1

Length

Max length8
Median length4
Mean length4.0711111
Min length4

Unique

Unique4 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 221
98.2%
20091104 1
 
0.4%
20210108 1
 
0.4%
20131224 1
 
0.4%
20170420 1
 
0.4%

Length

2024-04-22T03:46:36.592885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:36.950613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
98.2%
20091104 1
 
0.4%
20210108 1
 
0.4%
20131224 1
 
0.4%
20170420 1
 
0.4%

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
225 

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 (%)
1 225
100.0%

Length

2024-04-22T03:46:37.321277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:37.628947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 225
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업/정상
225 

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 225
100.0%

Length

2024-04-22T03:46:37.954080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:38.261409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 225
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
225 

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 (%)
1 225
100.0%

Length

2024-04-22T03:46:38.583820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:38.893610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 225
100.0%

상세영업상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)91.6%
Missing70
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean8.5984289 × 108
Minimum5.3215534 × 108
Maximum7.082215 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-22T03:46:39.224495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3215534 × 108
5-th percentile5.325255 × 108
Q15.3423004 × 108
median5.3621226 × 108
Q35.3748706 × 108
95-th percentile1.9047204 × 109
Maximum7.082215 × 109
Range6.5500597 × 109
Interquartile range (IQR)3257021.5

Descriptive statistics

Standard deviation1.4022605 × 109
Coefficient of variation (CV)1.6308334
Kurtosis15.636686
Mean8.5984289 × 108
Median Absolute Deviation (MAD)1625449
Skewness4.1595398
Sum1.3327565 × 1011
Variance1.9663345 × 1018
MonotonicityNot monotonic
2024-04-22T03:46:39.667795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
537450201 2
 
0.9%
535540262 2
 
0.9%
536294800 2
 
0.9%
536534300 2
 
0.9%
532550218 2
 
0.9%
534232431 2
 
0.9%
7075188476 2
 
0.9%
537513434 2
 
0.9%
533243015 2
 
0.9%
539516667 2
 
0.9%
Other values (132) 135
60.0%
(Missing) 70
31.1%
ValueCountFrequency (%)
532155337 1
0.4%
532166002 1
0.4%
532175593 1
0.4%
532181053 1
0.4%
532421205 1
0.4%
532462925 1
0.4%
532503000 1
0.4%
532523960 1
0.4%
532526162 1
0.4%
532531189 1
0.4%
ValueCountFrequency (%)
7082215023 1
0.4%
7075566425 1
0.4%
7075188476 2
0.9%
7075052786 1
0.4%
7046473333 1
0.4%
7042395104 1
0.4%
5058233000 1
0.4%
553215008 1
0.4%
539841125 1
0.4%
539593065 1
0.4%

소재지면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
194 
0.0
27 
48651.0
 
1
710.0
 
1
1385.5
 
1

Length

Max length7
Median length4
Mean length3.9111111
Min length3

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row<NA>
2nd row48651.0
3rd row710.0
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 194
86.2%
0.0 27
 
12.0%
48651.0 1
 
0.4%
710.0 1
 
0.4%
1385.5 1
 
0.4%
805.2 1
 
0.4%

Length

2024-04-22T03:46:40.120126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:40.486683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 194
86.2%
0.0 27
 
12.0%
48651.0 1
 
0.4%
710.0 1
 
0.4%
1385.5 1
 
0.4%
805.2 1
 
0.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB
Distinct208
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T03:46:41.875403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length24.995556
Min length18

Characters and Unicode

Total characters5624
Distinct characters165
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)85.8%

Sample

1st row대구광역시 북구 사수동 135번지
2nd row대구광역시 중구 남산동 225번지 1호
3rd row대구광역시 중구 남성로 81번지 1호
4th row대구광역시 서구 내당동 52번지 4호
5th row대구광역시 달서구 두류동 776번지 25호
ValueCountFrequency (%)
대구광역시 224
 
19.1%
중구 68
 
5.8%
1호 37
 
3.2%
수성구 35
 
3.0%
남구 33
 
2.8%
대명동 30
 
2.6%
북구 27
 
2.3%
동구 22
 
1.9%
달서구 21
 
1.8%
남산동 20
 
1.7%
Other values (378) 654
55.8%
2024-04-22T03:46:43.706833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1339
23.8%
449
 
8.0%
274
 
4.9%
249
 
4.4%
245
 
4.4%
1 236
 
4.2%
232
 
4.1%
226
 
4.0%
225
 
4.0%
224
 
4.0%
Other values (155) 1925
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3233
57.5%
Space Separator 1339
23.8%
Decimal Number 1043
 
18.5%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
449
13.9%
274
 
8.5%
249
 
7.7%
245
 
7.6%
232
 
7.2%
226
 
7.0%
225
 
7.0%
224
 
6.9%
208
 
6.4%
70
 
2.2%
Other values (139) 831
25.7%
Decimal Number
ValueCountFrequency (%)
1 236
22.6%
2 140
13.4%
3 106
10.2%
0 97
9.3%
4 96
9.2%
5 95
9.1%
6 73
 
7.0%
7 70
 
6.7%
8 65
 
6.2%
9 65
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
1339
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3233
57.5%
Common 2390
42.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
449
13.9%
274
 
8.5%
249
 
7.7%
245
 
7.6%
232
 
7.2%
226
 
7.0%
225
 
7.0%
224
 
6.9%
208
 
6.4%
70
 
2.2%
Other values (139) 831
25.7%
Common
ValueCountFrequency (%)
1339
56.0%
1 236
 
9.9%
2 140
 
5.9%
3 106
 
4.4%
0 97
 
4.1%
4 96
 
4.0%
5 95
 
4.0%
6 73
 
3.1%
7 70
 
2.9%
8 65
 
2.7%
Other values (5) 73
 
3.1%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3233
57.5%
ASCII 2391
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1339
56.0%
1 236
 
9.9%
2 140
 
5.9%
3 106
 
4.4%
0 97
 
4.1%
4 96
 
4.0%
5 95
 
4.0%
6 73
 
3.1%
7 70
 
2.9%
8 65
 
2.7%
Other values (6) 74
 
3.1%
Hangul
ValueCountFrequency (%)
449
13.9%
274
 
8.5%
249
 
7.7%
245
 
7.6%
232
 
7.2%
226
 
7.0%
225
 
7.0%
224
 
6.9%
208
 
6.4%
70
 
2.2%
Other values (139) 831
25.7%

도로명전체주소
Text

MISSING 

Distinct196
Distinct (%)92.9%
Missing14
Missing (%)6.2%
Memory size1.9 KiB
2024-04-22T03:46:45.069597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length26.890995
Min length20

Characters and Unicode

Total characters5674
Distinct characters190
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)86.7%

Sample

1st row대구광역시 북구 사수로 363-36 (사수동)
2nd row대구광역시 중구 남산로4길 112 (남산동)
3rd row대구광역시 서구 달구벌대로371길 30 (내당동)
4th row대구광역시 달서구 성당로 303-0 (두류동)
5th row대구광역시 중구 서성로14길 112 (향촌동)
ValueCountFrequency (%)
대구광역시 210
 
18.7%
중구 63
 
5.6%
수성구 34
 
3.0%
남구 30
 
2.7%
북구 25
 
2.2%
대명동 24
 
2.1%
동구 22
 
2.0%
달서구 19
 
1.7%
2층 18
 
1.6%
남산동 16
 
1.4%
Other values (445) 664
59.0%
2024-04-22T03:46:46.872611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
914
 
16.1%
443
 
7.8%
313
 
5.5%
267
 
4.7%
221
 
3.9%
212
 
3.7%
212
 
3.7%
( 206
 
3.6%
) 206
 
3.6%
198
 
3.5%
Other values (180) 2482
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3292
58.0%
Space Separator 914
 
16.1%
Decimal Number 883
 
15.6%
Open Punctuation 206
 
3.6%
Close Punctuation 206
 
3.6%
Other Punctuation 88
 
1.6%
Dash Punctuation 84
 
1.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
443
 
13.5%
313
 
9.5%
267
 
8.1%
221
 
6.7%
212
 
6.4%
212
 
6.4%
198
 
6.0%
92
 
2.8%
90
 
2.7%
72
 
2.2%
Other values (163) 1172
35.6%
Decimal Number
ValueCountFrequency (%)
1 175
19.8%
2 139
15.7%
0 118
13.4%
4 98
11.1%
3 94
10.6%
5 68
 
7.7%
6 67
 
7.6%
7 45
 
5.1%
9 43
 
4.9%
8 36
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 87
98.9%
· 1
 
1.1%
Space Separator
ValueCountFrequency (%)
914
100.0%
Open Punctuation
ValueCountFrequency (%)
( 206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3292
58.0%
Common 2381
42.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
443
 
13.5%
313
 
9.5%
267
 
8.1%
221
 
6.7%
212
 
6.4%
212
 
6.4%
198
 
6.0%
92
 
2.8%
90
 
2.7%
72
 
2.2%
Other values (163) 1172
35.6%
Common
ValueCountFrequency (%)
914
38.4%
( 206
 
8.7%
) 206
 
8.7%
1 175
 
7.3%
2 139
 
5.8%
0 118
 
5.0%
4 98
 
4.1%
3 94
 
3.9%
, 87
 
3.7%
- 84
 
3.5%
Other values (6) 260
 
10.9%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3292
58.0%
ASCII 2381
42.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
914
38.4%
( 206
 
8.7%
) 206
 
8.7%
1 175
 
7.3%
2 139
 
5.8%
0 118
 
5.0%
4 98
 
4.1%
3 94
 
3.9%
, 87
 
3.7%
- 84
 
3.5%
Other values (6) 260
 
10.9%
Hangul
ValueCountFrequency (%)
443
 
13.5%
313
 
9.5%
267
 
8.1%
221
 
6.7%
212
 
6.4%
212
 
6.4%
198
 
6.0%
92
 
2.8%
90
 
2.7%
72
 
2.2%
Other values (163) 1172
35.6%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing216
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean41804.556
Minimum41256
Maximum42453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-22T03:46:47.239102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41256
5-th percentile41257.6
Q141447
median41903
Q342020
95-th percentile42359
Maximum42453
Range1197
Interquartile range (IQR)573

Descriptive statistics

Standard deviation417.2164
Coefficient of variation (CV)0.009980166
Kurtosis-1.0054108
Mean41804.556
Median Absolute Deviation (MAD)315
Skewness-0.035343086
Sum376241
Variance174069.53
MonotonicityNot monotonic
2024-04-22T03:46:47.608741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
41447 1
 
0.4%
41903 1
 
0.4%
42453 1
 
0.4%
41260 1
 
0.4%
41256 1
 
0.4%
41934 1
 
0.4%
42218 1
 
0.4%
41750 1
 
0.4%
42020 1
 
0.4%
(Missing) 216
96.0%
ValueCountFrequency (%)
41256 1
0.4%
41260 1
0.4%
41447 1
0.4%
41750 1
0.4%
41903 1
0.4%
41934 1
0.4%
42020 1
0.4%
42218 1
0.4%
42453 1
0.4%
ValueCountFrequency (%)
42453 1
0.4%
42218 1
0.4%
42020 1
0.4%
41934 1
0.4%
41903 1
0.4%
41750 1
0.4%
41447 1
0.4%
41260 1
0.4%
41256 1
0.4%
Distinct218
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T03:46:48.467328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length13.737778
Min length4

Characters and Unicode

Total characters3091
Distinct characters324
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)93.8%

Sample

1st row(재)대구포교성베네딕도수녀회
2nd row(재)대구구천주교회유지재단
3rd row한국천은미륵불원 유지재단
4th row(재)대한예수교장로회 경북노회 유지재단
5th row(재)대한예수교장로회 경북노회 유지재단
ValueCountFrequency (%)
사단법인 153
30.8%
재단법인 27
 
5.4%
유지재단 10
 
2.0%
대한예수교장로회 6
 
1.2%
협회 5
 
1.0%
대구광역시 4
 
0.8%
사람대사람 2
 
0.4%
대구 2
 
0.4%
대구문화콘텐츠플랫폼 2
 
0.4%
대한불교 2
 
0.4%
Other values (271) 283
57.1%
2024-04-22T03:46:49.815987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
8.8%
227
 
7.3%
199
 
6.4%
187
 
6.0%
180
 
5.8%
113
 
3.7%
101
 
3.3%
96
 
3.1%
84
 
2.7%
79
 
2.6%
Other values (314) 1552
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2723
88.1%
Space Separator 273
 
8.8%
Open Punctuation 23
 
0.7%
Close Punctuation 23
 
0.7%
Uppercase Letter 15
 
0.5%
Decimal Number 14
 
0.5%
Lowercase Letter 11
 
0.4%
Other Punctuation 8
 
0.3%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
227
 
8.3%
199
 
7.3%
187
 
6.9%
180
 
6.6%
113
 
4.1%
101
 
3.7%
96
 
3.5%
84
 
3.1%
79
 
2.9%
74
 
2.7%
Other values (281) 1383
50.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
M 2
13.3%
U 2
13.3%
D 2
13.3%
T 1
 
6.7%
E 1
 
6.7%
S 1
 
6.7%
Z 1
 
6.7%
N 1
 
6.7%
W 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
r 2
18.2%
a 1
 
9.1%
f 1
 
9.1%
i 1
 
9.1%
n 1
 
9.1%
d 1
 
9.1%
s 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
3 2
 
14.3%
1 2
 
14.3%
0 2
 
14.3%
5 1
 
7.1%
9 1
 
7.1%
8 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 3
37.5%
· 2
25.0%
, 2
25.0%
: 1
 
12.5%
Space Separator
ValueCountFrequency (%)
273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2723
88.1%
Common 342
 
11.1%
Latin 26
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
227
 
8.3%
199
 
7.3%
187
 
6.9%
180
 
6.6%
113
 
4.1%
101
 
3.7%
96
 
3.5%
84
 
3.1%
79
 
2.9%
74
 
2.7%
Other values (281) 1383
50.8%
Latin
ValueCountFrequency (%)
A 3
 
11.5%
e 3
 
11.5%
r 2
 
7.7%
M 2
 
7.7%
U 2
 
7.7%
D 2
 
7.7%
T 1
 
3.8%
E 1
 
3.8%
S 1
 
3.8%
Z 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
273
79.8%
( 23
 
6.7%
) 23
 
6.7%
2 5
 
1.5%
. 3
 
0.9%
· 2
 
0.6%
3 2
 
0.6%
1 2
 
0.6%
0 2
 
0.6%
, 2
 
0.6%
Other values (5) 5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2723
88.1%
ASCII 366
 
11.8%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
74.6%
( 23
 
6.3%
) 23
 
6.3%
2 5
 
1.4%
A 3
 
0.8%
e 3
 
0.8%
. 3
 
0.8%
r 2
 
0.5%
M 2
 
0.5%
U 2
 
0.5%
Other values (22) 27
 
7.4%
Hangul
ValueCountFrequency (%)
227
 
8.3%
199
 
7.3%
187
 
6.9%
180
 
6.6%
113
 
4.1%
101
 
3.7%
96
 
3.5%
84
 
3.1%
79
 
2.9%
74
 
2.7%
Other values (281) 1383
50.8%
None
ValueCountFrequency (%)
· 2
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156845 × 1013
Minimum2.0060626 × 1013
Maximum2.0210326 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-22T03:46:50.222020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060626 × 1013
5-th percentile2.0070679 × 1013
Q12.0121225 × 1013
median2.0170313 × 1013
Q32.0191111 × 1013
95-th percentile2.0210115 × 1013
Maximum2.0210326 × 1013
Range1.4970005 × 1011
Interquartile range (IQR)6.9886056 × 1010

Descriptive statistics

Standard deviation4.3191177 × 1010
Coefficient of variation (CV)0.0021427548
Kurtosis-0.69281018
Mean2.0156845 × 1013
Median Absolute Deviation (MAD)3.0213024 × 1010
Skewness-0.62721693
Sum4.5352902 × 1015
Variance1.8654778 × 1021
MonotonicityNot monotonic
2024-04-22T03:46:50.668880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201128154950 1
 
0.4%
20160706150709 1
 
0.4%
20100216185039 1
 
0.4%
20210321120743 1
 
0.4%
20190307110409 1
 
0.4%
20210203113737 1
 
0.4%
20210127114012 1
 
0.4%
20191002143635 1
 
0.4%
20190810091837 1
 
0.4%
20190730182239 1
 
0.4%
Other values (215) 215
95.6%
ValueCountFrequency (%)
20060626110907 1
0.4%
20060626113100 1
0.4%
20060626114654 1
0.4%
20060626115633 1
0.4%
20060626142700 1
0.4%
20060626145931 1
0.4%
20060626161636 1
0.4%
20061113134849 1
0.4%
20061113135028 1
0.4%
20070117143519 1
0.4%
ValueCountFrequency (%)
20210326163437 1
0.4%
20210326094445 1
0.4%
20210324102218 1
0.4%
20210321120743 1
0.4%
20210319171343 1
0.4%
20210316155159 1
0.4%
20210309171336 1
0.4%
20210304174027 1
0.4%
20210209175329 1
0.4%
20210203113737 1
0.4%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
I
166 
U
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 166
73.8%
U 59
 
26.2%

Length

2024-04-22T03:46:51.081033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:46:51.397736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 166
73.8%
u 59
 
26.2%
Distinct72
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2021-03-28 02:40:00
2024-04-22T03:46:51.747064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T03:46:52.205633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct193
Distinct (%)90.2%
Missing11
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean343862.09
Minimum326316.83
Maximum382928.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-22T03:46:52.617330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326316.83
5-th percentile335857.7
Q1342117.44
median343860.12
Q3345921.32
95-th percentile351273.74
Maximum382928.15
Range56611.323
Interquartile range (IQR)3803.8758

Descriptive statistics

Standard deviation5068.4364
Coefficient of variation (CV)0.014739736
Kurtosis17.147391
Mean343862.09
Median Absolute Deviation (MAD)1985.9296
Skewness1.6606101
Sum73586487
Variance25689047
MonotonicityNot monotonic
2024-04-22T03:46:53.035308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341157.139542 4
 
1.8%
339517.647299 3
 
1.3%
346942.691097 3
 
1.3%
343768.590429 2
 
0.9%
340408.256174 2
 
0.9%
348976.830827 2
 
0.9%
345954.46053 2
 
0.9%
347026.33541 2
 
0.9%
343808.116821 2
 
0.9%
343533.527047 2
 
0.9%
Other values (183) 190
84.4%
(Missing) 11
 
4.9%
ValueCountFrequency (%)
326316.829633 1
0.4%
326529.313663 1
0.4%
328983.949788 1
0.4%
331951.554116 1
0.4%
332482.176087 1
0.4%
334382.803795 1
0.4%
334843.255289 1
0.4%
334952.534169 1
0.4%
334993.094666 1
0.4%
335103.846357 1
0.4%
ValueCountFrequency (%)
382928.152175173 1
0.4%
354946.639057 1
0.4%
354633.109983 1
0.4%
353438.606723 1
0.4%
353408.883127 1
0.4%
353264.289894 2
0.9%
352960.018761 1
0.4%
352958.331734 1
0.4%
352699.525574 1
0.4%
352290.265995 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct193
Distinct (%)90.2%
Missing11
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean264670.52
Minimum242248.75
Maximum452681.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-22T03:46:53.453426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum242248.75
5-th percentile259447.13
Q1262217.4
median263625.75
Q3264809.07
95-th percentile270948.43
Maximum452681.18
Range210432.43
Interquartile range (IQR)2591.6647

Descriptive statistics

Standard deviation13398.2
Coefficient of variation (CV)0.050622185
Kurtosis184.25961
Mean264670.52
Median Absolute Deviation (MAD)1201.5384
Skewness13.081093
Sum56639491
Variance1.7951177 × 108
MonotonicityNot monotonic
2024-04-22T03:46:53.877194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
259957.231399 4
 
1.8%
264688.817962 3
 
1.3%
263989.847737 3
 
1.3%
263839.469406 2
 
0.9%
270567.946123 2
 
0.9%
266355.880139 2
 
0.9%
266617.446667 2
 
0.9%
264045.125966 2
 
0.9%
264112.422021 2
 
0.9%
262950.165336 2
 
0.9%
Other values (183) 190
84.4%
(Missing) 11
 
4.9%
ValueCountFrequency (%)
242248.752039 1
0.4%
252068.015396 1
0.4%
256754.41595 1
0.4%
258026.415018 1
0.4%
258333.164229 1
0.4%
258750.808414 1
0.4%
258822.061962 1
0.4%
259090.681237 1
0.4%
259158.422736 1
0.4%
259254.08789 1
0.4%
ValueCountFrequency (%)
452681.180225545 1
0.4%
277860.926384 1
0.4%
277397.28432 1
0.4%
275948.116007 1
0.4%
275475.069747 1
0.4%
274178.442155 1
0.4%
273523.797858 1
0.4%
272139.95332 1
0.4%
271993.953443 1
0.4%
271783.808524 1
0.4%
Distinct12
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
문화(사단)
69 
예술(사단)
44 
행정(재단)
36 
종교(사단)
27 
종교(재단)
20 
Other values (7)
29 

Length

Max length7
Median length6
Mean length6.0488889
Min length6

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row행정(재단)
2nd row행정(재단)
3rd row종교(재단)
4th row종교(재단)
5th row행정(재단)

Common Values

ValueCountFrequency (%)
문화(사단) 69
30.7%
예술(사단) 44
19.6%
행정(재단) 36
16.0%
종교(사단) 27
 
12.0%
종교(재단) 20
 
8.9%
문화(재단) 9
 
4.0%
문화재(사단) 6
 
2.7%
컨텐츠(사단) 4
 
1.8%
행정(사단) 4
 
1.8%
예술(재단) 4
 
1.8%
Other values (2) 2
 
0.9%

Length

2024-04-22T03:46:54.526046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화(사단 69
30.7%
예술(사단 44
19.6%
행정(재단 36
16.0%
종교(사단 27
 
12.0%
종교(재단 20
 
8.9%
문화(재단 9
 
4.0%
문화재(사단 6
 
2.7%
컨텐츠(사단 4
 
1.8%
행정(사단 4
 
1.8%
예술(재단 4
 
1.8%
Other values (2) 2
 
0.9%

준공일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

개관일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

설립_운영주체구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

박물관미술관종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

박물관미술관유형명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

폐관일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

폐관사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

소요자금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB
Distinct224
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T03:46:55.662156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length272
Median length112
Mean length81.173333
Min length6

Characters and Unicode

Total characters18264
Distinct characters516
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)99.1%

Sample

1st row교리 전파
2nd row교리전파 및 성교활동
3rd row미륵부처의 자비심에 입각한 종교행사의 추진과 포교활동 경전의 연구, 도덕성 회복운동 등의 사업에 필요한 토지,건물을 소유,관리함으로써 지역사회의 발전에 기여
4th row기독교 교리 전파
5th row예수교 교리전파
ValueCountFrequency (%)
145
 
3.5%
통해 39
 
0.9%
위한 38
 
0.9%
36
 
0.9%
35
 
0.8%
목적으로 33
 
0.8%
기여 33
 
0.8%
25
 
0.6%
사업 24
 
0.6%
대한 24
 
0.6%
Other values (2223) 3747
89.7%
2024-04-22T03:46:57.316998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3961
 
21.7%
426
 
2.3%
423
 
2.3%
369
 
2.0%
340
 
1.9%
285
 
1.6%
283
 
1.5%
259
 
1.4%
, 240
 
1.3%
235
 
1.3%
Other values (506) 11443
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13576
74.3%
Space Separator 3961
 
21.7%
Other Punctuation 377
 
2.1%
Control 147
 
0.8%
Decimal Number 97
 
0.5%
Other Symbol 40
 
0.2%
Dash Punctuation 28
 
0.2%
Close Punctuation 12
 
0.1%
Open Punctuation 12
 
0.1%
Initial Punctuation 6
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
426
 
3.1%
423
 
3.1%
369
 
2.7%
340
 
2.5%
285
 
2.1%
283
 
2.1%
259
 
1.9%
235
 
1.7%
228
 
1.7%
222
 
1.6%
Other values (474) 10506
77.4%
Other Punctuation
ValueCountFrequency (%)
, 240
63.7%
. 63
 
16.7%
· 21
 
5.6%
; 13
 
3.4%
# 13
 
3.4%
& 13
 
3.4%
" 6
 
1.6%
2
 
0.5%
: 2
 
0.5%
' 2
 
0.5%
Other values (2) 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 33
34.0%
8 26
26.8%
1 12
 
12.4%
3 8
 
8.2%
0 5
 
5.2%
9 4
 
4.1%
7 3
 
3.1%
4 2
 
2.1%
5 2
 
2.1%
6 2
 
2.1%
Final Punctuation
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Space Separator
ValueCountFrequency (%)
3961
100.0%
Control
ValueCountFrequency (%)
147
100.0%
Other Symbol
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Initial Punctuation
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13572
74.3%
Common 4688
 
25.7%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
426
 
3.1%
423
 
3.1%
369
 
2.7%
340
 
2.5%
285
 
2.1%
283
 
2.1%
259
 
1.9%
235
 
1.7%
228
 
1.7%
222
 
1.6%
Other values (471) 10502
77.4%
Common
ValueCountFrequency (%)
3961
84.5%
, 240
 
5.1%
147
 
3.1%
. 63
 
1.3%
40
 
0.9%
2 33
 
0.7%
- 28
 
0.6%
8 26
 
0.6%
· 21
 
0.4%
; 13
 
0.3%
Other values (22) 116
 
2.5%
Han
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13561
74.2%
ASCII 4611
 
25.2%
Geometric Shapes 40
 
0.2%
None 21
 
0.1%
Punctuation 14
 
0.1%
Compat Jamo 11
 
0.1%
Arrows 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3961
85.9%
, 240
 
5.2%
147
 
3.2%
. 63
 
1.4%
2 33
 
0.7%
- 28
 
0.6%
8 26
 
0.6%
; 13
 
0.3%
# 13
 
0.3%
& 13
 
0.3%
Other values (15) 74
 
1.6%
Hangul
ValueCountFrequency (%)
426
 
3.1%
423
 
3.1%
369
 
2.7%
340
 
2.5%
285
 
2.1%
283
 
2.1%
259
 
1.9%
235
 
1.7%
228
 
1.7%
222
 
1.6%
Other values (469) 10491
77.4%
Geometric Shapes
ValueCountFrequency (%)
40
100.0%
None
ValueCountFrequency (%)
· 21
100.0%
Compat Jamo
ValueCountFrequency (%)
10
90.9%
1
 
9.1%
Punctuation
ValueCountFrequency (%)
6
42.9%
5
35.7%
2
 
14.3%
1
 
7.1%
Arrows
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

허가조건
Text

MISSING 

Distinct133
Distinct (%)85.8%
Missing70
Missing (%)31.1%
Memory size1.9 KiB
2024-04-22T03:46:58.367887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length297
Median length250
Mean length162.32258
Min length2

Characters and Unicode

Total characters25160
Distinct characters275
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)76.1%

Sample

1st row문화관광부및문화재청소관비영리법인의설립및감독에관한규칙준수 및 민법제38조에 해당할 때에는 허가를 취소할 수 있음
2nd row별첨
3rd row별첨
4th row법인이 다음 각호의 1에 해당하는 사유가 있다고 인정될 때에는 그 설립허가를 취소할 수 있음 1. 허위 기타 부정한 방법으로 설립허가를 받은 때 2. 목적달성이 불가능하게 된 때 3. 목적사업이외의 사업을 한 때 4. 공익을 해하는 행위를 한 때 5. 정당한 사유없이 설립허가를 받은 날로부터 6월 이내에 목적 사업을 개시하지 아니하거나 1년이상 사업실적이 없을 때 6. 관계법 또는 관계법에 의한 명령이나 정관을 위반한 때
5th row관련허가 조건위반시 설립허가를 취소할 수 있음
ValueCountFrequency (%)
453
 
7.2%
285
 
4.5%
설립허가를 230
 
3.6%
받은 153
 
2.4%
146
 
2.3%
105
 
1.7%
99
 
1.6%
취소할 98
 
1.6%
때에는 89
 
1.4%
88
 
1.4%
Other values (534) 4565
72.3%
2024-04-22T03:46:59.920259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6927
27.5%
651
 
2.6%
568
 
2.3%
550
 
2.2%
525
 
2.1%
512
 
2.0%
510
 
2.0%
459
 
1.8%
435
 
1.7%
432
 
1.7%
Other values (265) 13591
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16443
65.4%
Space Separator 6927
27.5%
Control 550
 
2.2%
Decimal Number 523
 
2.1%
Other Symbol 286
 
1.1%
Other Punctuation 264
 
1.0%
Dash Punctuation 73
 
0.3%
Close Punctuation 32
 
0.1%
Open Punctuation 31
 
0.1%
Lowercase Letter 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
651
 
4.0%
568
 
3.5%
525
 
3.2%
512
 
3.1%
510
 
3.1%
459
 
2.8%
435
 
2.6%
432
 
2.6%
422
 
2.6%
406
 
2.5%
Other values (221) 11523
70.1%
Lowercase Letter
ValueCountFrequency (%)
a 4
16.0%
c 3
12.0%
s 2
8.0%
m 2
8.0%
o 2
8.0%
r 2
8.0%
e 2
8.0%
v 2
8.0%
n 2
8.0%
l 2
8.0%
Other values (2) 2
8.0%
Decimal Number
ValueCountFrequency (%)
1 196
37.5%
6 99
18.9%
3 74
 
14.1%
2 41
 
7.8%
4 35
 
6.7%
5 28
 
5.4%
8 24
 
4.6%
0 10
 
1.9%
7 10
 
1.9%
9 6
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 178
67.4%
, 44
 
16.7%
: 29
 
11.0%
' 6
 
2.3%
* 2
 
0.8%
@ 2
 
0.8%
1
 
0.4%
/ 1
 
0.4%
· 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
15
46.9%
) 15
46.9%
2
 
6.2%
Open Punctuation
ValueCountFrequency (%)
15
48.4%
( 15
48.4%
1
 
3.2%
Other Symbol
ValueCountFrequency (%)
285
99.7%
1
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 3
50.0%
> 3
50.0%
Space Separator
ValueCountFrequency (%)
6927
100.0%
Control
ValueCountFrequency (%)
550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16443
65.4%
Common 8692
34.5%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
651
 
4.0%
568
 
3.5%
525
 
3.2%
512
 
3.1%
510
 
3.1%
459
 
2.8%
435
 
2.6%
432
 
2.6%
422
 
2.6%
406
 
2.5%
Other values (221) 11523
70.1%
Common
ValueCountFrequency (%)
6927
79.7%
550
 
6.3%
285
 
3.3%
1 196
 
2.3%
. 178
 
2.0%
6 99
 
1.1%
3 74
 
0.9%
- 73
 
0.8%
, 44
 
0.5%
2 41
 
0.5%
Other values (22) 225
 
2.6%
Latin
ValueCountFrequency (%)
a 4
16.0%
c 3
12.0%
s 2
8.0%
m 2
8.0%
o 2
8.0%
r 2
8.0%
e 2
8.0%
v 2
8.0%
n 2
8.0%
l 2
8.0%
Other values (2) 2
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16425
65.3%
ASCII 8396
33.4%
Geometric Shapes 286
 
1.1%
None 34
 
0.1%
Compat Jamo 18
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6927
82.5%
550
 
6.6%
1 196
 
2.3%
. 178
 
2.1%
6 99
 
1.2%
3 74
 
0.9%
- 73
 
0.9%
, 44
 
0.5%
2 41
 
0.5%
4 35
 
0.4%
Other values (26) 179
 
2.1%
Hangul
ValueCountFrequency (%)
651
 
4.0%
568
 
3.5%
525
 
3.2%
512
 
3.1%
510
 
3.1%
459
 
2.8%
435
 
2.6%
432
 
2.6%
422
 
2.6%
406
 
2.5%
Other values (220) 11505
70.0%
Geometric Shapes
ValueCountFrequency (%)
285
99.7%
1
 
0.3%
Compat Jamo
ValueCountFrequency (%)
18
100.0%
None
ValueCountFrequency (%)
15
44.1%
15
44.1%
2
 
5.9%
1
 
2.9%
· 1
 
2.9%
Punctuation
ValueCountFrequency (%)
1
100.0%

법인해산일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
221 
20091104
 
1
20210108
 
1
20131224
 
1
20170420
 
1

Length

Max length8
Median length4
Mean length4.0711111
Min length4

Unique

Unique4 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 221
98.2%
20091104 1
 
0.4%
20210108 1
 
0.4%
20131224 1
 
0.4%
20170420 1
 
0.4%

Length

2024-04-22T03:47:00.198903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:47:00.410271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
98.2%
20091104 1
 
0.4%
20210108 1
 
0.4%
20131224 1
 
0.4%
20170420 1
 
0.4%
Distinct218
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T03:47:01.180033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length13.737778
Min length4

Characters and Unicode

Total characters3091
Distinct characters324
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)93.8%

Sample

1st row(재)대구포교성베네딕도수녀회
2nd row(재)대구구천주교회유지재단
3rd row한국천은미륵불원 유지재단
4th row(재)대한예수교장로회 경북노회 유지재단
5th row(재)대한예수교장로회 경북노회 유지재단
ValueCountFrequency (%)
사단법인 153
30.8%
재단법인 27
 
5.4%
유지재단 10
 
2.0%
대한예수교장로회 6
 
1.2%
협회 5
 
1.0%
대구광역시 4
 
0.8%
사람대사람 2
 
0.4%
대구 2
 
0.4%
대구문화콘텐츠플랫폼 2
 
0.4%
대한불교 2
 
0.4%
Other values (271) 283
57.1%
2024-04-22T03:47:02.521754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
8.8%
227
 
7.3%
199
 
6.4%
187
 
6.0%
180
 
5.8%
113
 
3.7%
101
 
3.3%
96
 
3.1%
84
 
2.7%
79
 
2.6%
Other values (314) 1552
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2723
88.1%
Space Separator 273
 
8.8%
Open Punctuation 23
 
0.7%
Close Punctuation 23
 
0.7%
Uppercase Letter 15
 
0.5%
Decimal Number 14
 
0.5%
Lowercase Letter 11
 
0.4%
Other Punctuation 8
 
0.3%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
227
 
8.3%
199
 
7.3%
187
 
6.9%
180
 
6.6%
113
 
4.1%
101
 
3.7%
96
 
3.5%
84
 
3.1%
79
 
2.9%
74
 
2.7%
Other values (281) 1383
50.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
M 2
13.3%
U 2
13.3%
D 2
13.3%
T 1
 
6.7%
E 1
 
6.7%
S 1
 
6.7%
Z 1
 
6.7%
N 1
 
6.7%
W 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
r 2
18.2%
a 1
 
9.1%
f 1
 
9.1%
i 1
 
9.1%
n 1
 
9.1%
d 1
 
9.1%
s 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
3 2
 
14.3%
1 2
 
14.3%
0 2
 
14.3%
5 1
 
7.1%
9 1
 
7.1%
8 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 3
37.5%
· 2
25.0%
, 2
25.0%
: 1
 
12.5%
Space Separator
ValueCountFrequency (%)
273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2723
88.1%
Common 342
 
11.1%
Latin 26
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
227
 
8.3%
199
 
7.3%
187
 
6.9%
180
 
6.6%
113
 
4.1%
101
 
3.7%
96
 
3.5%
84
 
3.1%
79
 
2.9%
74
 
2.7%
Other values (281) 1383
50.8%
Latin
ValueCountFrequency (%)
A 3
 
11.5%
e 3
 
11.5%
r 2
 
7.7%
M 2
 
7.7%
U 2
 
7.7%
D 2
 
7.7%
T 1
 
3.8%
E 1
 
3.8%
S 1
 
3.8%
Z 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
273
79.8%
( 23
 
6.7%
) 23
 
6.7%
2 5
 
1.5%
. 3
 
0.9%
· 2
 
0.6%
3 2
 
0.6%
1 2
 
0.6%
0 2
 
0.6%
, 2
 
0.6%
Other values (5) 5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2723
88.1%
ASCII 366
 
11.8%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
74.6%
( 23
 
6.3%
) 23
 
6.3%
2 5
 
1.4%
A 3
 
0.8%
e 3
 
0.8%
. 3
 
0.8%
r 2
 
0.5%
M 2
 
0.5%
U 2
 
0.5%
Other values (22) 27
 
7.4%
Hangul
ValueCountFrequency (%)
227
 
8.3%
199
 
7.3%
187
 
6.9%
180
 
6.6%
113
 
4.1%
101
 
3.7%
96
 
3.5%
84
 
3.1%
79
 
2.9%
74
 
2.7%
Other values (281) 1383
50.8%
None
ValueCountFrequency (%)
· 2
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명준공일자개관일자설립_운영주체구분명박물관미술관종류명박물관미술관유형명폐관일자폐관사유자본금소요자금법인설립목적허가조건법인해산일자법인명
01문화예술법인03_08_03_P6270000A010062700002006004319661112<NA>1영업/정상1<NA><NA><NA><NA><NA>533133437<NA><NA>대구광역시 북구 사수동 135번지대구광역시 북구 사수로 363-36 (사수동)<NA>(재)대구포교성베네딕도수녀회20201128154950U2020-12-01 02:40:00.0<NA>336963.706131267566.152596행정(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>교리 전파<NA><NA>(재)대구포교성베네딕도수녀회
12문화예술법인03_08_03_P6270000A010062700002006004420061114<NA>1영업/정상1<NA><NA><NA><NA><NA>53253485648651.0<NA>대구광역시 중구 남산동 225번지 1호대구광역시 중구 남산로4길 112 (남산동)<NA>(재)대구구천주교회유지재단20110621110100I2018-08-31 23:59:59.0<NA>343289.778615263445.349134행정(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>교리전파 및 성교활동<NA><NA>(재)대구구천주교회유지재단
23문화예술법인03_08_03_P6270000A010062700002006004620010813<NA>1영업/정상1<NA><NA><NA><NA><NA>536252050710.0<NA>대구광역시 중구 남성로 81번지 1호<NA><NA>한국천은미륵불원 유지재단20210113135053U2021-01-15 02:40:00.0<NA><NA><NA>종교(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>미륵부처의 자비심에 입각한 종교행사의 추진과 포교활동 경전의 연구, 도덕성 회복운동 등의 사업에 필요한 토지,건물을 소유,관리함으로써 지역사회의 발전에 기여문화관광부및문화재청소관비영리법인의설립및감독에관한규칙준수 및 민법제38조에 해당할 때에는 허가를 취소할 수 있음<NA>한국천은미륵불원 유지재단
34문화예술법인03_08_03_P6270000A010062700002006004720061218<NA>1영업/정상1<NA><NA><NA><NA><NA>535537877<NA><NA>대구광역시 서구 내당동 52번지 4호대구광역시 서구 달구벌대로371길 30 (내당동)<NA>(재)대한예수교장로회 경북노회 유지재단20180126174458I2018-08-31 23:59:59.0<NA>341509.265955263748.407663종교(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>기독교 교리 전파별첨<NA>(재)대한예수교장로회 경북노회 유지재단
45문화예술법인03_08_03_P6270000A010062700002006004819340115<NA>1영업/정상1<NA><NA><NA><NA><NA>5355378770.0<NA>대구광역시 달서구 두류동 776번지 25호대구광역시 달서구 성당로 303-0 (두류동)<NA>(재)대한예수교장로회 경북노회 유지재단20201230155954U2021-01-01 02:40:00.0<NA>342107.423994263276.287401행정(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>예수교 교리전파별첨<NA>(재)대한예수교장로회 경북노회 유지재단
56문화예술법인03_08_03_P6270000A010062700002007000220070117<NA>1영업/정상1<NA><NA><NA><NA><NA>536221945<NA><NA>대구광역시 남구 대명동 2139번지 (재)대구디지털산업진흥원 별관205호<NA><NA>사단법인 대구뮤지컬페스티벌20070117143519I2018-08-31 23:59:59.0<NA><NA><NA>문화(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>대구뮤지컬페스티벌 개최를 통하여 대구를 홍보하며 시민의 문화수준제고와 아울러 뮤지컬산업의 기반조성 및 발전에 기여법인이 다음 각호의 1에 해당하는 사유가 있다고 인정될 때에는 그 설립허가를 취소할 수 있음 1. 허위 기타 부정한 방법으로 설립허가를 받은 때 2. 목적달성이 불가능하게 된 때 3. 목적사업이외의 사업을 한 때 4. 공익을 해하는 행위를 한 때 5. 정당한 사유없이 설립허가를 받은 날로부터 6월 이내에 목적 사업을 개시하지 아니하거나 1년이상 사업실적이 없을 때 6. 관계법 또는 관계법에 의한 명령이나 정관을 위반한 때<NA>사단법인 대구뮤지컬페스티벌
67문화예술법인03_08_03_P6270000A010062700002007000320070119<NA>1영업/정상1<NA><NA><NA><NA><NA>532576406<NA><NA>대구광역시 중구 향촌동 52번지 6호대구광역시 중구 서성로14길 112 (향촌동)<NA>사단법인 영남민요.아리랑보존회20140731112956I2018-08-31 23:59:59.0<NA>343857.461324264825.371695예술(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>영남지방에 전승되는 아리랑등 향토민요를 전승발전시켜 향토문화 창달에 기여하고자함.관련허가 조건위반시 설립허가를 취소할 수 있음<NA>사단법인 영남민요.아리랑보존회
78문화예술법인03_08_03_P6270000A010062700002007001220070621<NA>1영업/정상1<NA><NA><NA><NA><NA>539516667<NA><NA>대구광역시 동구 신암동 666번지 6호대구광역시 동구 경대로 96 (신암동)<NA>사단법인 지역문화연구, 사람대사람20070622110025I2018-08-31 23:59:59.0<NA>345954.46053266617.446667문화(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>과거와 현재와 미래의 지역문화에 대해 분석적으로 탐구하고 변화된 세계에 적응하고 또 그 세계를 선도할 삶의 방식에 대한 합리적 담론을 생산하며, 생산된 담론을 통해 지역사회의 소통의 장을 넓히는데 기여하고자 함법인이 다음 각호의 1에 해당하는 사유가 있다고 인정될 때에는 그 설립허가를 취소할 수 있음 ○ 허위 기타 부정한 방법으로 설립허가를 받은 때 ○ 목적달성이 불가능하게 된 때 ○ 목적사업 이외의 사업을 한 때 ○ 공익을 해하는 행위를 한 때 ○ 정당한 사유없이 설립허가를 받은 날로부터 6월 이내에 목적사업을 개시하지 아니하거나 1년 이상 사업실적이 없을 때 ○ 관계법 또는 관계법에 의한 명령이나 정관을 위한한 때<NA>사단법인 지역문화연구, 사람대사람
89문화예술법인03_08_03_P6270000A010062700002007001320070622<NA>1영업/정상1<NA><NA><NA><NA><NA>5395166670.0<NA>대구광역시 동구 신암동 666번지 6호대구광역시 동구 경대로 96 (신암동)<NA>지역문화연구, 사람대사람20070622111435I2018-08-31 23:59:59.0<NA>345954.46053266617.446667문화(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>과거와 현재와 미래의 지역문화에 대해 분석적으로 탐구하고, 변화된 세계에 적응하고 또 그 세계를 선도할 삶의 방식에 대한 합리적 담론을 통해 소통의 장을 넓히는 데 기여함허가조건 : 법인이 다음 각호의 1에 해당하는 사유가 있다고 인정될 때에는 그 설립허가를 취소할 수 있음 ○ 허위 기타 부정한 방법으로 설립허가를 받은 때 ○ 목적달성이 불가능하게 된 때 ○ 목적사업 이외의 사업을 한 때 ○ 공익을 해하는 행위를 한 때 ○ 정당한 사유없이 설립허가를 받은 날로부터 6월 이내에 목적사업을 개시하지 아니하거나 1년 이상 사업실적이 없을 때 ○ 관계법 또는 관계법에 의한 명령이나 정관을 위반한 때<NA>지역문화연구, 사람대사람
910문화예술법인03_08_03_P6270000A010062700002007001520070829<NA>1영업/정상1<NA><NA><NA><NA><NA>532543026<NA><NA>대구광역시 수성구 범어동 556번지 1호대구광역시 수성구 상록로 21 (범어동)<NA>사단법인 정수회 중앙협의회20140623212121I2018-08-31 23:59:59.0<NA>346593.968509263577.527449행정(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>박정희 대통령과 육영수 여사의 투철한 국가관을 받들고 국가사회발전에 기여함과 추모 및 문화기념사업을 추진법인이 다음 각호에 해당하는 사유가 있다고 인정될 때에는 그 설립허가를 취소할 수 있음 1. 허위 기타 부정한 방법으로 설립허가를 받은 때 2. 목적달성이 불가능하게 된 때 3. 목적사업 이외의 사업을 한 때 4. 공익을 해하는 행위을 한 때 5. 정당한 사유없이 설립허가를 받은 날로부터 6월 이내에 목적사업을 개시하지 아니하거나 1년 이상 사업실적 이 없을 때 6. 관계법 또는 관계법에 의한 명령이나 정관을 위반한 때<NA>사단법인 정수회 중앙협의회
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명준공일자개관일자설립_운영주체구분명박물관미술관종류명박물관미술관유형명폐관일자폐관사유자본금소요자금법인설립목적허가조건법인해산일자법인명
215216문화예술법인03_08_03_P6270000A010062700002018001720181004<NA>1영업/정상1<NA><NA><NA><NA><NA>533243015<NA><NA>대구광역시 북구 구암동 708번지 1호대구광역시 북구 학정로42길 11-1 (구암동)<NA>사단법인 한국장애인문화복지협회20201022184620U2020-10-24 02:40:00.0<NA>340408.256174270567.946123문화(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>○ 문화예술 활동을 통하여 장애인의 의식 개혁 주도 ○ 장애인의 정신 개혁 일환으로 강연회, 특강, 수련회 및 문화예술제 등 각종 행사 기획 ○ 장애인 문화예술을 통한 복지사회 구현과 인식개선 교육사업 ○ 장애인의 문화예술 활동을 위한 조사 연구 지원 사업 ○ 국내&#8228;외 유관 기관과의 협력 교류 ○ 그 밖의 법인의 목적달성에 필요한 사업법인이 다음 각호의 1에 해당하는 사유가 있다고 인정될 때에는 그 설립허가를 취소할 수 있음 ○ 허위 기타 부정한 방법으로 설립허가를 받은 때 ○ 목적달성이 불가능하게 된 때 ○ 목적사업 이외의 사업을 한 때 ○ 공익을 해하는 행위를 한 때 ○ 정당한 사유없이 설립허가를 받은 날로부터 6월 이내에 목적사업을 개시하지 아니하거나 1년 이상 사업실적이 없을 때 ○ 관계법 또는 관계법에 의한 명령이나 정관을 위반한 때<NA>사단법인 한국장애인문화복지협회
216217문화예술법인03_08_03_P6270000A010062700002018001820181011<NA>1영업/정상1<NA><NA><NA><NA><NA>534207933<NA><NA>대구광역시 중구 대봉동 214번지 348호대구광역시 중구 동덕로6길 20-0 (대봉동)<NA>(재)대백선교문화재단20181011173339U2018-10-11 23:59:59.0<NA>344975.12871263008.443223교육(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>이 법인은 사회일반의 이익에 공여하기 위하여 기독교 복음전도를 위한 선교사업, 장학사업 및 사회문화사업을 시행함으로써 지역사회와 국가의 발전과 번영 및 인류의 공연에 이비지관련 규정 준수<NA>(재)대백선교문화재단
217218문화예술법인03_08_03_P6270000A010062700002018002120181219<NA>1영업/정상1<NA><NA><NA><NA><NA><NA>0.0<NA>대구광역시 달서구 장기동 202번지 7호대구광역시 달서구 달구벌대로276길 52-0 (장기동)<NA>사단법인 마나빠다이 불교 센터(대한민국)20190606194255U2019-06-08 02:40:00.0<NA>336981.708538261917.724175종교(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>부처님의 가르침인 계-정-혜를 올바르게 배우고 익혀, 사견에서 벗어나 변화하는 삶 속에서 마음의 평정과 지혜를 계발하여 모든 괴로움을 소멸시키고, 자비로운 마음으로 모든 중생과의 조화와 이익을 도모「문화체육관광부 및 문화재청 소관 비영리 법인의 설립 및 감독에 관한 규칙」준수, 「민법」 제38조(법인의 설립허가의 취소)에 해당할 때에는 허가를 취소할 수 있음<NA>사단법인 마나빠다이 불교 센터(대한민국)
218219문화예술법인03_08_03_P6270000A010062700002018002020181217<NA>1영업/정상1<NA><NA><NA><NA><NA>532565735<NA><NA>대구광역시 남구 대명동 2133번지 2호 극단고도대구광역시 남구 명덕로 100-0 (대명동)<NA>사단법인 극단고도20181217131621I2018-12-19 02:20:21.0<NA>342742.171829263006.422481문화(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>좋은 연극을 만들고 알린다 예술인재들을 위한 안정된 일자리를 제공하며, 공연 활동을 통한 예술가의 자아성취를 이루어 주며, 지속가능한 성장을 도울 수 있도록 함께 노력한다. 문화예술의 공유와 교류를 위해 앞장서도록 한다 참여와 나눔의 가치 아래 문화취약계층에게 다양한 공연서비스를 제공하고 소외계층의 삶의 질 향상에 기여한다.문화체육관광부 및 문화재청 소관 비영리 법인의 설립 및 감독에 관한 규칙을 준수할 것 민법 제38조(법인의 설립허가의 취소)에 해당할 때에는 허가를 취소할 수 있음<NA>사단법인 극단고도
219220문화예술법인03_08_03_P6270000A010062700002018001920181217<NA>1영업/정상1<NA><NA><NA><NA><NA>532563762<NA><NA>대구광역시 중구 봉산동 224번지 12호대구광역시 중구 명륜로 127-27 (봉산동)<NA>사단법인 이상화기념사업회20181217130651I2018-12-19 02:20:21.0<NA>344260.182071263506.429286문화(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>민족시인 이상화선생의 애국정신과 문학정신을 계승 발전시키며, 이상화 선생의 위대한 정신을 널리 펴기 위한 사업을 펼쳐, 나라사랑의 정신함양과 문학발전에 이바지함문화쳬육관광부 및 문화재청 소관 비영리 법인의 설립 및 감독에 관한 규칙을 준수할 것 민법 제38조(법인의 설립허가의 취소)에 해당할 때에는 허가를 취소할 수 있음<NA>사단법인 이상화기념사업회
220221문화예술법인03_08_03_P6270000A010062700002020001820201203<NA>1영업/정상1<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동2가 296번지 2호대구광역시 수성구 수성로 288-0, 2층 (수성동2가)<NA>사단법인 대구소설가협회20201203132600I2020-12-05 00:23:25.0<NA>345692.268327262439.854347예술(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>본회는 현진건문학상의 위상을 높이고, 중앙문단에서 소외되어 지역에서 활동중인 지역 소설가들에게 현진건 문학상에 도전할 기회를 제공함으로써 대구 및 경북에서 활동하는 지역소설가들에게 창장의욕을 고취시킴을 그 목적으로 한다.<NA><NA>사단법인 대구소설가협회
221222문화예술법인03_08_03_P6270000A010062700002020001720201124<NA>1영업/정상1<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 비산동 579번지 3호대구광역시 서구 달서로 201-0, 204호 (비산동)<NA>사단법인 대한불교조계종회의20201124092650I2020-11-26 00:23:07.0<NA>341815.862605265613.285832행정(재단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>석가모니 부처님의 정법과 조사스님들로부터 전해져 오는 직지인심의 가르침과 불교도의 수행, 교육, 봉사, 포교를 통해 현 세상을 불국정토로 만들어 가는 것을 목적으로 함법인이 다음 각호의 1에 해당하는 사유가 있다고 인정될 때에는 그 설립허가를 취소할 수 있음 ○ 허위 기타 부정한 방법으로 설립허가를 받은 때 ○ 목적달성이 불가능하게 된 때 ○ 목적사업 이외의 사업을 한 때 ○ 공익을 해하는 행위를 한 때 ○ 정당한 사유 없이 설립허가를 받은 날로부터 6월 이내에 목적사업을 개시하지 아니하거나 1년 이상 사업실적이 없을 때 ○ 관계법 또는 관계법에 의한 명령이나 정관을 위반한 때<NA>사단법인 대한불교조계종회의
222223문화예술법인03_08_03_P6270000A010062700002020001920201231<NA>1영업/정상1<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 2108번지 59호대구광역시 중구 중앙대로58길 15-11 (남산동)<NA>사단법인 고전문화교육 푸른별언덕20201231140911I2021-01-02 00:23:15.0<NA>343712.286156263124.263659문화(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>동양고전의 지혜를 시민 등과 공유하고 어린이와 유아들의인성함양을 위한 놀이문화 등 문화프로그램 및 문화예술 콘텐츠를 개발, 보급하여 창의적이고 조화로운 공동체의 구성원으로 성장하도록 돕고 우리 사회의 공동선 추구에 기여함민법 및 문화체육관광부 및 문화재청 소관 비영리법인의 설립 및 감독에 관한 규칙 의 법인관련 규정 준수<NA>사단법인 고전문화교육 푸른별언덕
223224문화예술법인03_08_03_P6270000A010062700002020002020201231<NA>1영업/정상1<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 722번지 2호대구광역시 중구 대봉로43안길 50-3, 2층 (대봉동)<NA>사단법인 대구화랑협회20201231142027I2021-01-02 00:23:15.0<NA>344377.207535263341.938749예술(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>본회는 미술문화의 홍익이념구현을 위하여 미술의 대중보급 및 이해증진과 국제적 교류증진, 나아가 대구지역의 미술문화발전에 이바지하며, 사회적 책임과 사명을 가지고 건전한 미술품시장의 육성과 유통질서 확립을 그 목적으로 한다.<NA><NA>사단법인 대구화랑협회
224225문화예술법인03_08_03_P6270000A010062700002021000220210115<NA>1영업/정상1<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 교동 31번지 3호대구광역시 중구 태평로 206-0, 3층 303호 (교동)<NA>사단법인 대구디지털문화원20210115103205I2021-01-17 00:23:04.0<NA>344424.516494264916.887266예술(사단)<NA><NA><NA><NA><NA><NA><NA><NA><NA>대구디지털문화원은 예술가들의 창작활동 및 홍보·마케팅 지원을 통해 지역 문화예술 발전을 도모하며 나아가 지역사회의 문화 다양성과 문화 공공성 실현을 목적으로 한다.<NA><NA>사단법인 대구디지털문화원