Overview

Dataset statistics

Number of variables59
Number of observations23
Missing cells637
Missing cells (%)46.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory524.7 B

Variable types

Numeric6
Categorical20
Text5
Unsupported27
DateTime1

Dataset

Description22년09월_6270000_대구광역시_03_08_02_P_대중문화예술기획업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096736&dataSetDetailId=DDI_0000096765&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
문화체육업종명 has constant value ""Constant
폐업일자 is highly imbalanced (51.3%)Imbalance
도로명우편번호 is highly imbalanced (74.2%)Imbalance
총층수 is highly imbalanced (57.4%)Imbalance
시설면적 is highly imbalanced (57.4%)Imbalance
지상층수 is highly imbalanced (57.4%)Imbalance
지하층수 is highly imbalanced (57.4%)Imbalance
통로너비 is highly imbalanced (57.4%)Imbalance
조명시설조도 is highly imbalanced (57.4%)Imbalance
노래방실수 is highly imbalanced (57.4%)Imbalance
청소년실수 is highly imbalanced (57.4%)Imbalance
총게임기수 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
소재지전화 has 12 (52.2%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 2 (8.7%) missing valuesMissing
좌표정보(Y) has 2 (8.7%) missing valuesMissing
문화사업자구분명 has 23 (100.0%) missing valuesMissing
주변환경명 has 23 (100.0%) missing valuesMissing
제작취급품목내용 has 23 (100.0%) missing valuesMissing
건물용도명 has 23 (100.0%) missing valuesMissing
비상계단여부 has 23 (100.0%) missing valuesMissing
비상구여부 has 23 (100.0%) missing valuesMissing
자동환기여부 has 23 (100.0%) missing valuesMissing
청소년실여부 has 23 (100.0%) missing valuesMissing
특수조명여부 has 23 (100.0%) missing valuesMissing
방음시설여부 has 23 (100.0%) missing valuesMissing
비디오재생기명 has 23 (100.0%) missing valuesMissing
조명시설유무 has 23 (100.0%) missing valuesMissing
음향시설여부 has 23 (100.0%) missing valuesMissing
편의시설여부 has 23 (100.0%) missing valuesMissing
소방시설여부 has 23 (100.0%) missing valuesMissing
기존게임업외업종명 has 23 (100.0%) missing valuesMissing
제공게임물명 has 23 (100.0%) missing valuesMissing
공연장형태구분명 has 23 (100.0%) missing valuesMissing
최초등록시점 has 23 (100.0%) missing valuesMissing
지역구분명 has 23 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
도로명전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 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
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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-18 01:03:25.776113
Analysis finished2024-04-18 01:03:26.245452
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-18T10:03:26.293173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-04-18T10:03:26.385009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 23
100.0%

Length

2024-04-18T10:03:26.476070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:26.544802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 23
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
03_08_02_P
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_08_02_P
2nd row03_08_02_P
3rd row03_08_02_P
4th row03_08_02_P
5th row03_08_02_P

Common Values

ValueCountFrequency (%)
03_08_02_P 23
100.0%

Length

2024-04-18T10:03:26.613951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:26.679433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_08_02_p 23
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
6270000
23 

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 23
100.0%

Length

2024-04-18T10:03:26.753688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:26.823673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T10:03:26.963773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters345
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowM04022022000001
2nd rowM04022019000001
3rd rowM04022015000004
4th rowM04022015000005
5th rowM04022016000002
ValueCountFrequency (%)
m04022022000001 1
 
4.3%
m04022021000005 1
 
4.3%
m04022017000001 1
 
4.3%
m04022016000003 1
 
4.3%
m04022016000001 1
 
4.3%
m04022015000001 1
 
4.3%
m04022022000002 1
 
4.3%
m04022021000010 1
 
4.3%
m04022021000008 1
 
4.3%
m04022021000007 1
 
4.3%
Other values (13) 13
56.5%
2024-04-18T10:03:27.245558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 184
53.3%
2 63
 
18.3%
1 28
 
8.1%
4 26
 
7.5%
M 23
 
6.7%
5 7
 
2.0%
6 6
 
1.7%
3 3
 
0.9%
9 2
 
0.6%
7 2
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 322
93.3%
Uppercase Letter 23
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 184
57.1%
2 63
 
19.6%
1 28
 
8.7%
4 26
 
8.1%
5 7
 
2.2%
6 6
 
1.9%
3 3
 
0.9%
9 2
 
0.6%
7 2
 
0.6%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
M 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 322
93.3%
Latin 23
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 184
57.1%
2 63
 
19.6%
1 28
 
8.7%
4 26
 
8.1%
5 7
 
2.2%
6 6
 
1.9%
3 3
 
0.9%
9 2
 
0.6%
7 2
 
0.6%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
M 23
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 184
53.3%
2 63
 
18.3%
1 28
 
8.1%
4 26
 
7.5%
M 23
 
6.7%
5 7
 
2.0%
6 6
 
1.7%
3 3
 
0.9%
9 2
 
0.6%
7 2
 
0.6%

인허가일자
Real number (ℝ)

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20186634
Minimum20150619
Maximum20220620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-18T10:03:27.357853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150619
5-th percentile20150732
Q120160416
median20190813
Q320210616
95-th percentile20219384
Maximum20220620
Range70001
Interquartile range (IQR)50199.5

Descriptive statistics

Standard deviation27196.726
Coefficient of variation (CV)0.001347264
Kurtosis-1.8654421
Mean20186634
Median Absolute Deviation (MAD)20408
Skewness-0.19546917
Sum4.6429258 × 108
Variance7.3966189 × 108
MonotonicityNot monotonic
2024-04-18T10:03:27.460018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20210108 3
 
13.0%
20210616 2
 
8.7%
20210623 2
 
8.7%
20150724 1
 
4.3%
20170405 1
 
4.3%
20160525 1
 
4.3%
20160113 1
 
4.3%
20150619 1
 
4.3%
20220620 1
 
4.3%
20210929 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
20150619 1
4.3%
20150724 1
4.3%
20150804 1
4.3%
20150805 1
4.3%
20160113 1
4.3%
20160308 1
4.3%
20160525 1
4.3%
20160614 1
4.3%
20160929 1
4.3%
20170405 1
4.3%
ValueCountFrequency (%)
20220620 1
 
4.3%
20220323 1
 
4.3%
20210929 1
 
4.3%
20210623 2
8.7%
20210616 2
8.7%
20210517 1
 
4.3%
20210108 3
13.0%
20190813 1
 
4.3%
20190729 1
 
4.3%
20170405 1
 
4.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
18 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

Length

2024-04-18T10:03:27.568008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:27.648822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업/정상
18 
폐업
5 

Length

Max length5
Median length5
Mean length4.3478261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
78.3%
폐업 5
 
21.7%

Length

2024-04-18T10:03:27.757067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:27.840616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
78.3%
폐업 5
 
21.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
18 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

Length

2024-04-18T10:03:27.926964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:28.006659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업
18 
폐업
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 18
78.3%
폐업 5
 
21.7%

Length

2024-04-18T10:03:28.084988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:28.156883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 18
78.3%
폐업 5
 
21.7%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
18 
20191211
 
1
20170724
 
1
20160930
 
1
20200702
 
1

Length

Max length8
Median length4
Mean length4.8695652
Min length4

Unique

Unique5 ?
Unique (%)21.7%

Sample

1st row<NA>
2nd row20191211
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
78.3%
20191211 1
 
4.3%
20170724 1
 
4.3%
20160930 1
 
4.3%
20200702 1
 
4.3%
20200115 1
 
4.3%

Length

2024-04-18T10:03:28.255599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:28.994541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
78.3%
20191211 1
 
4.3%
20170724 1
 
4.3%
20160930 1
 
4.3%
20200702 1
 
4.3%
20200115 1
 
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing12
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean2.001592 × 109
Minimum5.3215842 × 108
Maximum7.0414684 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-18T10:03:29.071556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3215842 × 108
5-th percentile5.3216974 × 108
Q15.3319138 × 108
median5.3767022 × 108
Q32.9277619 × 109
95-th percentile6.2097077 × 109
Maximum7.0414684 × 109
Range6.50931 × 109
Interquartile range (IQR)2.3945705 × 109

Descriptive statistics

Standard deviation2.549246 × 109
Coefficient of variation (CV)1.2736092
Kurtosis-0.11735627
Mean2.001592 × 109
Median Absolute Deviation (MAD)5103553
Skewness1.3109379
Sum2.2017512 × 1010
Variance6.4986554 × 1018
MonotonicityNot monotonic
2024-04-18T10:03:29.158988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
537670220 1
 
4.3%
5377947002 1
 
4.3%
536235001 1
 
4.3%
537945683 1
 
4.3%
533816101 1
 
4.3%
532181053 1
 
4.3%
7041468383 1
 
4.3%
5316008325 1
 
4.3%
532566667 1
 
4.3%
539515515 1
 
4.3%
(Missing) 12
52.2%
ValueCountFrequency (%)
532158417 1
4.3%
532181053 1
4.3%
532566667 1
4.3%
533816101 1
4.3%
536235001 1
4.3%
537670220 1
4.3%
537945683 1
4.3%
539515515 1
4.3%
5316008325 1
4.3%
5377947002 1
4.3%
ValueCountFrequency (%)
7041468383 1
4.3%
5377947002 1
4.3%
5316008325 1
4.3%
539515515 1
4.3%
537945683 1
4.3%
537670220 1
4.3%
536235001 1
4.3%
533816101 1
4.3%
532566667 1
4.3%
532181053 1
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지전체주소
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T10:03:29.312173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length26.913043
Min length21

Characters and Unicode

Total characters619
Distinct characters66
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row대구광역시 동구 봉무동 ***번지 *호
2nd row대구광역시 중구 서문로*가 **번지 *호 갑을빌딩
3rd row대구광역시 수성구 중동 ***번지 *호
4th row대구광역시 수성구 시지동 ***번지 시지동, 고산노변타운 ***동
5th row대구광역시 수성구 매호동 ****번지 *호
ValueCountFrequency (%)
대구광역시 23
18.1%
번지 23
18.1%
호 20
15.7%
중구 7
 
5.5%
수성구 7
 
5.5%
남구 7
 
5.5%
대명동 6
 
4.7%
남산동 3
 
2.4%
계명대학교 2
 
1.6%
시지동 2
 
1.6%
Other values (25) 27
21.3%
2024-04-18T10:03:29.596429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
22.5%
* 110
17.8%
구 47
 
7.6%
대 33
 
5.3%
동 29
 
4.7%
시 25
 
4.0%
지 25
 
4.0%
역 24
 
3.9%
광 23
 
3.7%
번 23
 
3.7%
Other values (56) 141
22.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
58.8%
Space Separator 139
 
22.5%
Other Punctuation 111
 
17.9%
Uppercase Letter 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
12.9%
대 33
 
9.1%
동 29
 
8.0%
시 25
 
6.9%
지 25
 
6.9%
역 24
 
6.6%
광 23
 
6.3%
번 23
 
6.3%
호 21
 
5.8%
남 11
 
3.0%
Other values (48) 103
28.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
T 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 110
99.1%
, 1
 
0.9%
Space Separator
ValueCountFrequency (%)
139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
58.8%
Common 252
40.7%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
12.9%
대 33
 
9.1%
동 29
 
8.0%
시 25
 
6.9%
지 25
 
6.9%
역 24
 
6.6%
광 23
 
6.3%
번 23
 
6.3%
호 21
 
5.8%
남 11
 
3.0%
Other values (48) 103
28.3%
Common
ValueCountFrequency (%)
139
55.2%
* 110
43.7%
, 1
 
0.4%
( 1
 
0.4%
) 1
 
0.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
58.8%
ASCII 255
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
54.5%
* 110
43.1%
C 1
 
0.4%
B 1
 
0.4%
T 1
 
0.4%
, 1
 
0.4%
( 1
 
0.4%
) 1
 
0.4%
Hangul
ValueCountFrequency (%)
구 47
12.9%
대 33
 
9.1%
동 29
 
8.0%
시 25
 
6.9%
지 25
 
6.9%
역 24
 
6.6%
광 23
 
6.3%
번 23
 
6.3%
호 21
 
5.8%
남 11
 
3.0%
Other values (48) 103
28.3%

도로명전체주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T10:03:29.775037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length32.347826
Min length22

Characters and Unicode

Total characters744
Distinct characters86
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

Unique23 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 팔공로 ***-*, *층 ***호 (봉무동)
2nd row대구광역시 중구 국채보상로 ***-*, *층 (서문로*가,갑을빌딩)
3rd row대구광역시 수성구 수성로 ***, *층 (중동)
4th row대구광역시 수성구 시지로 **, ***층 ***호 (시지동,시지동,고산노변타운)
5th row대구광역시 수성구 달구벌대로***길 *-* (매호동)
ValueCountFrequency (%)
대구광역시 23
16.5%
23
16.5%
층 11
 
7.9%
호 9
 
6.5%
중구 7
 
5.0%
남구 7
 
5.0%
수성구 7
 
5.0%
대명동 4
 
2.9%
현충로 3
 
2.2%
명륜로 2
 
1.4%
Other values (37) 43
30.9%
2024-04-18T10:03:30.059684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 128
17.2%
116
15.6%
구 50
 
6.7%
대 38
 
5.1%
동 33
 
4.4%
, 29
 
3.9%
시 28
 
3.8%
역 24
 
3.2%
) 24
 
3.2%
( 24
 
3.2%
Other values (76) 250
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
54.6%
Other Punctuation 157
 
21.1%
Space Separator 116
 
15.6%
Close Punctuation 24
 
3.2%
Open Punctuation 24
 
3.2%
Dash Punctuation 14
 
1.9%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 50
 
12.3%
대 38
 
9.4%
동 33
 
8.1%
시 28
 
6.9%
역 24
 
5.9%
광 23
 
5.7%
로 22
 
5.4%
층 12
 
3.0%
명 12
 
3.0%
남 11
 
2.7%
Other values (67) 153
37.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
T 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 128
81.5%
, 29
 
18.5%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
54.6%
Common 335
45.0%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 50
 
12.3%
대 38
 
9.4%
동 33
 
8.1%
시 28
 
6.9%
역 24
 
5.9%
광 23
 
5.7%
로 22
 
5.4%
층 12
 
3.0%
명 12
 
3.0%
남 11
 
2.7%
Other values (67) 153
37.7%
Common
ValueCountFrequency (%)
* 128
38.2%
116
34.6%
, 29
 
8.7%
) 24
 
7.2%
( 24
 
7.2%
- 14
 
4.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
54.6%
ASCII 338
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 128
37.9%
116
34.3%
, 29
 
8.6%
) 24
 
7.1%
( 24
 
7.1%
- 14
 
4.1%
B 1
 
0.3%
C 1
 
0.3%
T 1
 
0.3%
Hangul
ValueCountFrequency (%)
구 50
 
12.3%
대 38
 
9.4%
동 33
 
8.1%
시 28
 
6.9%
역 24
 
5.9%
광 23
 
5.7%
로 22
 
5.4%
층 12
 
3.0%
명 12
 
3.0%
남 11
 
2.7%
Other values (67) 153
37.7%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
42250
 
1

Length

Max length5
Median length4
Mean length4.0434783
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
42250 1
 
4.3%

Length

2024-04-18T10:03:30.178204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:30.258951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
42250 1
 
4.3%

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T10:03:30.401846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length10.869565
Min length3

Characters and Unicode

Total characters250
Distinct characters105
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

Unique23 ?
Unique (%)100.0%

Sample

1st row주식회사 태백산맥
2nd row더블유(W) 엔터테인먼트
3rd row에이치투커뮤니케이션즈(H2 Communications)
4th row채널인디(Channel in D)
5th row에이션엔터테인먼트
ValueCountFrequency (%)
주식회사 5
 
13.5%
엔터테인먼트 3
 
8.1%
인디053 2
 
5.4%
사단법인 1
 
2.7%
프라이데이 1
 
2.7%
원샷엔터테인먼트 1
 
2.7%
주)휴먼아이엠씨 1
 
2.7%
주)에스엔유커뮤니케이션즈 1
 
2.7%
김대성 1
 
2.7%
꿈꾸는씨어터 1
 
2.7%
Other values (20) 20
54.1%
2024-04-18T10:03:30.674352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
5.6%
주 10
 
4.0%
( 10
 
4.0%
인 10
 
4.0%
) 10
 
4.0%
이 9
 
3.6%
터 9
 
3.6%
사 7
 
2.8%
트 7
 
2.8%
먼 7
 
2.8%
Other values (95) 157
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
69.2%
Lowercase Letter 21
 
8.4%
Uppercase Letter 15
 
6.0%
Space Separator 14
 
5.6%
Open Punctuation 10
 
4.0%
Close Punctuation 10
 
4.0%
Decimal Number 7
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
5.8%
인 10
 
5.8%
이 9
 
5.2%
터 9
 
5.2%
사 7
 
4.0%
트 7
 
4.0%
먼 7
 
4.0%
엔 7
 
4.0%
에 6
 
3.5%
테 6
 
3.5%
Other values (65) 95
54.9%
Lowercase Letter
ValueCountFrequency (%)
n 5
23.8%
i 3
14.3%
a 2
 
9.5%
o 2
 
9.5%
m 2
 
9.5%
s 1
 
4.8%
t 1
 
4.8%
c 1
 
4.8%
u 1
 
4.8%
h 1
 
4.8%
Other values (2) 2
 
9.5%
Uppercase Letter
ValueCountFrequency (%)
O 2
13.3%
E 2
13.3%
T 2
13.3%
C 2
13.3%
L 1
6.7%
P 1
6.7%
S 1
6.7%
R 1
6.7%
H 1
6.7%
W 1
6.7%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
5 2
28.6%
3 2
28.6%
2 1
14.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
69.2%
Common 41
 
16.4%
Latin 36
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
5.8%
인 10
 
5.8%
이 9
 
5.2%
터 9
 
5.2%
사 7
 
4.0%
트 7
 
4.0%
먼 7
 
4.0%
엔 7
 
4.0%
에 6
 
3.5%
테 6
 
3.5%
Other values (65) 95
54.9%
Latin
ValueCountFrequency (%)
n 5
 
13.9%
i 3
 
8.3%
O 2
 
5.6%
E 2
 
5.6%
T 2
 
5.6%
a 2
 
5.6%
o 2
 
5.6%
m 2
 
5.6%
C 2
 
5.6%
L 1
 
2.8%
Other values (13) 13
36.1%
Common
ValueCountFrequency (%)
14
34.1%
( 10
24.4%
) 10
24.4%
0 2
 
4.9%
5 2
 
4.9%
3 2
 
4.9%
2 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
69.2%
ASCII 77
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
18.2%
( 10
 
13.0%
) 10
 
13.0%
n 5
 
6.5%
i 3
 
3.9%
0 2
 
2.6%
O 2
 
2.6%
5 2
 
2.6%
E 2
 
2.6%
T 2
 
2.6%
Other values (20) 25
32.5%
Hangul
ValueCountFrequency (%)
주 10
 
5.8%
인 10
 
5.8%
이 9
 
5.2%
터 9
 
5.2%
사 7
 
4.0%
트 7
 
4.0%
먼 7
 
4.0%
엔 7
 
4.0%
에 6
 
3.5%
테 6
 
3.5%
Other values (65) 95
54.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.019886 × 1013
Minimum2.0150724 × 1013
Maximum2.022062 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-18T10:03:30.779890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0150724 × 1013
5-th percentile2.0151786 × 1013
Q12.0200159 × 1013
median2.0210409 × 1013
Q32.0210866 × 1013
95-th percentile2.0219402 × 1013
Maximum2.022062 × 1013
Range6.9895977 × 1010
Interquartile range (IQR)1.0707022 × 1010

Descriptive statistics

Standard deviation2.2418635 × 1010
Coefficient of variation (CV)0.001109896
Kurtosis0.38143334
Mean2.019886 × 1013
Median Absolute Deviation (MAD)5.1995457 × 108
Skewness-1.3888636
Sum4.6457379 × 1014
Variance5.025952 × 1020
MonotonicityNot monotonic
2024-04-18T10:03:30.883664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20220323162145 1
 
4.3%
20211112132231 1
 
4.3%
20150724174359 1
 
4.3%
20200115104946 1
 
4.3%
20210826132735 1
 
4.3%
20210409190240 1
 
4.3%
20210427170343 1
 
4.3%
20220620151300 1
 
4.3%
20210929144810 1
 
4.3%
20210906172207 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
20150724174359 1
4.3%
20150805134716 1
4.3%
20160614174120 1
4.3%
20160929163112 1
4.3%
20170619113948 1
4.3%
20200115104946 1
4.3%
20200203155659 1
4.3%
20201228202215 1
4.3%
20210108185937 1
4.3%
20210108190309 1
4.3%
ValueCountFrequency (%)
20220620151300 1
4.3%
20220323162145 1
4.3%
20211112132231 1
4.3%
20210929144810 1
4.3%
20210906172207 1
4.3%
20210906172126 1
4.3%
20210826132735 1
4.3%
20210623135344 1
4.3%
20210623134952 1
4.3%
20210517143738 1
4.3%

데이터갱신구분
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 23
100.0%

Length

2024-04-18T10:03:30.987595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:31.057671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 23
100.0%

데이터갱신일자
Date

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2021-10-01 00:22:48
Maximum2022-06-22 00:22:40
2024-04-18T10:03:31.118569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:03:31.198061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing2
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean345519.24
Minimum342131.75
Maximum354160.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-18T10:03:31.284857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum342131.75
5-th percentile342632.84
Q1342960.95
median343838.72
Q3346572.52
95-th percentile353795
Maximum354160.95
Range12029.203
Interquartile range (IQR)3611.5646

Descriptive statistics

Standard deviation3771.7222
Coefficient of variation (CV)0.010916099
Kurtosis1.2396034
Mean345519.24
Median Absolute Deviation (MAD)1133.0417
Skewness1.531926
Sum7255904
Variance14225888
MonotonicityNot monotonic
2024-04-18T10:03:31.382300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
343251.365403 1
 
4.3%
354160.953055 1
 
4.3%
342131.749794 1
 
4.3%
346162.170101 1
 
4.3%
343313.168269 1
 
4.3%
344089.146124 1
 
4.3%
343334.789999 1
 
4.3%
342705.674751 1
 
4.3%
342868.64172 1
 
4.3%
344026.297036 1
 
4.3%
Other values (11) 11
47.8%
(Missing) 2
 
8.7%
ValueCountFrequency (%)
342131.749794 1
4.3%
342632.844135 1
4.3%
342705.674751 1
4.3%
342774.766132 1
4.3%
342868.64172 1
4.3%
342960.950534 1
4.3%
343251.365403 1
4.3%
343313.168269 1
4.3%
343334.789999 1
4.3%
343814.765016 1
4.3%
ValueCountFrequency (%)
354160.953055 1
4.3%
353795.004106 1
4.3%
353156.530464 1
4.3%
348080.318976 1
4.3%
346671.596784 1
4.3%
346572.515153 1
4.3%
346162.170101 1
4.3%
345562.075218 1
4.3%
344089.146124 1
4.3%
344026.297036 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing2
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean263108.49
Minimum260361.8
Maximum271080.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-18T10:03:31.485882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260361.8
5-th percentile260630.23
Q1261584.87
median262709.99
Q3264023.21
95-th percentile264994.23
Maximum271080.46
Range10718.658
Interquartile range (IQR)2438.3451

Descriptive statistics

Standard deviation2282.8866
Coefficient of variation (CV)0.0086765977
Kurtosis6.9506865
Mean263108.49
Median Absolute Deviation (MAD)1260.669
Skewness2.1424146
Sum5525278.4
Variance5211571
MonotonicityNot monotonic
2024-04-18T10:03:31.599005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
264520.837975 1
 
4.3%
260630.225444 1
 
4.3%
262222.52016 1
 
4.3%
263970.660155 1
 
4.3%
264265.370229 1
 
4.3%
264724.521659 1
 
4.3%
264023.210967 1
 
4.3%
261818.497184 1
 
4.3%
262544.964549 1
 
4.3%
263394.272257 1
 
4.3%
Other values (11) 11
47.8%
(Missing) 2
 
8.7%
ValueCountFrequency (%)
260361.799669 1
4.3%
260630.225444 1
4.3%
261059.937627 1
4.3%
261215.331082 1
4.3%
261512.024314 1
4.3%
261584.86584 1
4.3%
261818.497184 1
4.3%
262222.52016 1
4.3%
262544.964549 1
4.3%
262643.902173 1
4.3%
ValueCountFrequency (%)
271080.457859 1
4.3%
264994.226366 1
4.3%
264724.521659 1
4.3%
264520.837975 1
4.3%
264265.370229 1
4.3%
264023.210967 1
4.3%
263970.660155 1
4.3%
263394.272257 1
4.3%
263087.885219 1
4.3%
262912.887933 1
4.3%

문화체육업종명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 23
100.0%

Length

2024-04-18T10:03:31.699472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:31.770477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 23
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:31.856396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:31.939135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:32.022262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:32.116245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:32.223044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:32.300651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:32.418561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:32.505068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:32.596784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:32.697342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:32.792668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:32.882834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:32.968763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:33.049779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:33.134359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:33.212326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-04-18T10:03:33.294760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:03:33.383009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

품목명
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T10:03:33.559672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length34
Mean length30.086957
Min length6

Characters and Unicode

Total characters692
Distinct characters145
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

Unique20 ?
Unique (%)87.0%

Sample

1st row대중음악, 디지털 엔터테인먼트(MCN : 다중 채널 네트워크), 스포츠 등
2nd row1인유튜버 발굴 및 양성 (MCN)
3rd row대중문화예술기획업, 이벤트, 기획, 광고대행 등
4th row음반기획, 매니저업
5th row공연, 기획
ValueCountFrequency (%)
20
 
14.0%
대중문화예술기획업 6
 
4.2%
공연 4
 
2.8%
매니지먼트 4
 
2.8%
대표자 4
 
2.8%
등 4
 
2.8%
및 4
 
2.8%
음반 3
 
2.1%
사업자등록번호 3
 
2.1%
연락처 3
 
2.1%
Other values (81) 88
61.5%
2024-04-18T10:03:33.893982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
16.3%
, 36
 
5.2%
기 22
 
3.2%
대 20
 
2.9%
획 20
 
2.9%
업 19
 
2.7%
트 14
 
2.0%
연 14
 
2.0%
예 13
 
1.9%
( 11
 
1.6%
Other values (135) 410
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439
63.4%
Space Separator 113
 
16.3%
Other Punctuation 56
 
8.1%
Decimal Number 36
 
5.2%
Open Punctuation 11
 
1.6%
Control 11
 
1.6%
Close Punctuation 11
 
1.6%
Uppercase Letter 9
 
1.3%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 22
 
5.0%
대 20
 
4.6%
획 20
 
4.6%
업 19
 
4.3%
트 14
 
3.2%
연 14
 
3.2%
예 13
 
3.0%
매 11
 
2.5%
먼 11
 
2.5%
술 10
 
2.3%
Other values (110) 285
64.9%
Decimal Number
ValueCountFrequency (%)
0 6
16.7%
3 5
13.9%
5 5
13.9%
6 5
13.9%
4 4
11.1%
2 4
11.1%
8 3
8.3%
1 2
 
5.6%
9 1
 
2.8%
7 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 36
64.3%
: 10
 
17.9%
* 4
 
7.1%
/ 3
 
5.4%
. 1
 
1.8%
· 1
 
1.8%
& 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
N 3
33.3%
C 3
33.3%
M 3
33.3%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Control
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 439
63.4%
Common 244
35.3%
Latin 9
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 22
 
5.0%
대 20
 
4.6%
획 20
 
4.6%
업 19
 
4.3%
트 14
 
3.2%
연 14
 
3.2%
예 13
 
3.0%
매 11
 
2.5%
먼 11
 
2.5%
술 10
 
2.3%
Other values (110) 285
64.9%
Common
ValueCountFrequency (%)
113
46.3%
, 36
 
14.8%
( 11
 
4.5%
11
 
4.5%
) 11
 
4.5%
: 10
 
4.1%
0 6
 
2.5%
- 6
 
2.5%
3 5
 
2.0%
5 5
 
2.0%
Other values (12) 30
 
12.3%
Latin
ValueCountFrequency (%)
N 3
33.3%
C 3
33.3%
M 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 439
63.4%
ASCII 252
36.4%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
44.8%
, 36
 
14.3%
( 11
 
4.4%
11
 
4.4%
) 11
 
4.4%
: 10
 
4.0%
0 6
 
2.4%
- 6
 
2.4%
3 5
 
2.0%
5 5
 
2.0%
Other values (14) 38
 
15.1%
Hangul
ValueCountFrequency (%)
기 22
 
5.0%
대 20
 
4.6%
획 20
 
4.6%
업 19
 
4.3%
트 14
 
3.2%
연 14
 
3.2%
예 13
 
3.0%
매 11
 
2.5%
먼 11
 
2.5%
술 10
 
2.3%
Other values (110) 285
64.9%
None
ValueCountFrequency (%)
· 1
100.0%

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01대중문화예술기획업03_08_02_P6270000M0402202200000120220323<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 봉무동 ***번지 *호대구광역시 동구 팔공로 ***-*, *층 ***호 (봉무동)<NA>주식회사 태백산맥20220323162145I2022-03-25 00:22:35.0<NA>348080.318976271080.457859대중문화예술기획업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>대중음악, 디지털 엔터테인먼트(MCN : 다중 채널 네트워크), 스포츠 등<NA><NA>
12대중문화예술기획업03_08_02_P6270000M0402201900000120190729<NA>3폐업3폐업20191211<NA><NA><NA><NA><NA><NA>대구광역시 중구 서문로*가 **번지 *호 갑을빌딩대구광역시 중구 국채보상로 ***-*, *층 (서문로*가,갑을빌딩)<NA>더블유(W) 엔터테인먼트20211112132231I2021-11-14 00:22:45.0<NA>343251.365403264520.837975대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1인유튜버 발굴 및 양성 (MCN)<NA><NA>
23대중문화예술기획업03_08_02_P6270000M0402201500000420150804<NA>1영업/정상1영업<NA><NA><NA><NA>537670220<NA><NA>대구광역시 수성구 중동 ***번지 *호대구광역시 수성구 수성로 ***, *층 (중동)<NA>에이치투커뮤니케이션즈(H2 Communications)20170619113948I2022-01-26 00:22:40.0<NA>345562.075218261059.937627대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업, 이벤트, 기획, 광고대행 등<NA><NA>
34대중문화예술기획업03_08_02_P6270000M0402201500000520150805<NA>1영업/정상1영업<NA><NA><NA><NA>5377947002<NA><NA>대구광역시 수성구 시지동 ***번지 시지동, 고산노변타운 ***동대구광역시 수성구 시지로 **, ***층 ***호 (시지동,시지동,고산노변타운)<NA>채널인디(Channel in D)20150805134716I2022-01-26 00:22:40.0<NA>353156.530464261215.331082대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>음반기획, 매니저업<NA><NA>
45대중문화예술기획업03_08_02_P6270000M0402201600000220160308<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 매호동 ****번지 *호대구광역시 수성구 달구벌대로***길 *-* (매호동)<NA>에이션엔터테인먼트20200203155659I2022-01-26 00:22:40.0<NA>353795.004106261584.86584대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공연, 기획<NA><NA>
56대중문화예술기획업03_08_02_P6270000M0402201600000420160614<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 **번지 *호대구광역시 동구 동대구로 *** (신천동)<NA>(주)재미컴퍼니20160614174120I2022-01-26 00:22:40.0<NA>346671.596784264994.226366대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>매니저먼트업, 공연제작 및 기획업<NA><NA>
67대중문화예술기획업03_08_02_P6270000M0402201600000520160929<NA>1영업/정상1영업<NA><NA><NA><NA>536235001<NA><NA>대구광역시 남구 대명동 ****번지 **호 계명대학교대구광역시 남구 명덕로 ***, *층 ***호 (대명동,계명대학교)<NA>주식회사 브로드20160929163112I2022-01-26 00:22:40.0<NA>342632.844135262643.902173대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업<NA><NA>
78대중문화예술기획업03_08_02_P6270000M0402201900000220190813<NA>1영업/정상1영업<NA><NA><NA><NA>537945683<NA><NA>대구광역시 수성구 대흥동 ***번지 *호 마이더스타운대구광역시 수성구 알파시티*로 ***-*, ***호 (대흥동,마이더스타운)42250(주)비오(벡터 엔터테인먼트)20201228202215I2022-01-26 00:22:40.0<NA><NA><NA>대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업, 공연기획업 (법인 대표자 윤비오 연락처 : ) (주)비오에서 운영하는 대중문화예술기획사<NA><NA>
89대중문화예술기획업03_08_02_P6270000M0402202100000120210108<NA>1영업/정상1영업<NA><NA><NA><NA>533816101<NA><NA>대구광역시 수성구 두산동 ***번지 *호 (주)TBC대구광역시 수성구 동대구로 **-*, *층 (두산동,(주)TBC)<NA>(주)놀레벤트20210108190427I2022-01-26 00:22:40.0<NA>346572.515153260361.799669대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>엔터테인먼트업, 연예매니지먼트업 (사업자등록번호 : 504-81-23386) (대표자(조정환) 휴대폰 번호 : )<NA><NA>
910대중문화예술기획업03_08_02_P6270000M0402202100000220210108<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 ***번지 *호 대구역센트럴자이 ***동대구광역시 중구 서성로 **-*, ***동 ***호 (수창동,대구역센트럴자이)<NA>바비사운즈20210108185937I2022-01-26 00:22:40.0<NA><NA><NA>대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>매니저업 (사업자등록번호 : 664-57-00545)<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1314대중문화예술기획업03_08_02_P6270000M0402202100000620210616<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 봉덕동 ***번지 **호대구광역시 남구 봉덕로*길 **-**, *층 *호 (봉덕동)<NA>루프세터(LOOP SETTER)20210623135344I2022-01-26 00:22:40.0<NA>343814.765016261512.024314대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>콘텐츠, 공연, 예술, 지역 고유 랜드마크, 유튜브 채널 운영<NA><NA>
1415대중문화예술기획업03_08_02_P6270000M0402202100000720210623<NA>1영업/정상1영업<NA><NA><NA><NA>7041468383<NA><NA>대구광역시 중구 남산동 ***번지 **호 남산빌딩대구광역시 중구 명륜로 ***-*, *층 (남산동,남산빌딩)<NA>주식회사 에이비크리에이티브20210906172126I2022-01-26 00:22:40.0<NA>344026.297036263394.272257대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>* 대표자 연락처 : 김준석 영상, 공연, 음반<NA><NA>
1516대중문화예술기획업03_08_02_P6270000M0402202100000820210623<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 ****번지 **호대구광역시 남구 현충로 ***-*, *층 (대명동)<NA>주식회사 엠에스엔터테인먼트20210906172207I2022-01-26 00:22:40.0<NA>342868.64172262544.964549대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>교육기획, 공연기획, 광고기획 / 음반, 음원제작. 창작예술관련, 음악 및 기타 기록 매체 출판업 / 문화콘텐츠, 음반판매 / 매니지먼트<NA><NA>
1617대중문화예술기획업03_08_02_P6270000M0402202100001020210929<NA>1영업/정상1영업<NA><NA><NA><NA>5316008325<NA><NA>대구광역시 남구 대명동 ****번지 *호대구광역시 남구 현충로 ***-*, 지하*층 (대명동)<NA>꿈꾸는씨어터 주식회사20210929144810I2021-10-01 00:22:48.0<NA>342705.674751261818.497184대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공연, 교육, 음반, 이벤트 기획·제작 * 부가 사무실(지점) : 대구광역시 남구 현충로 225, 2층, 3층(대명동) * 대표자 휴대전화 :<NA><NA>
1718대중문화예술기획업03_08_02_P6270000M0402202200000220220620<NA>1영업/정상1영업<NA><NA><NA><NA>532566667<NA><NA>대구광역시 중구 남산동 ***번지 *호대구광역시 중구 명륜로 *-*, *층 (남산동)<NA>김대성 엔터테인먼트20220620151300I2022-06-22 00:22:40.0<NA>343334.789999264023.210967대중문화예술기획업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>가수 매니지먼트, 녹음업, 행사진행 등 * 대표자 연락처 :<NA><NA>
1819대중문화예술기획업03_08_02_P6270000M0402201500000120150619<NA>3폐업3폐업20170724<NA><NA><NA><NA><NA><NA>대구광역시 중구 동문동 **번지 *호대구광역시 중구 경상감영길 *** (동문동)<NA>인디05320210427170343I2022-01-26 00:22:40.0<NA>344089.146124264724.521659대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업<NA><NA>
1920대중문화예술기획업03_08_02_P6270000M0402201600000120160113<NA>3폐업3폐업20160930<NA><NA><NA><NA><NA><NA>대구광역시 중구 계산동*가 **번지 매일신문사빌딩대구광역시 중구 서성로 ** (계산동*가)<NA>(주)에스엔유커뮤니케이션즈20210409190240I2022-01-26 00:22:40.0<NA>343313.168269264265.370229대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업<NA><NA>
2021대중문화예술기획업03_08_02_P6270000M0402201600000320160525<NA>3폐업3폐업20200702<NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 ****번지 **호 *층대구광역시 수성구 들안로**길 **, *층 (범어동)<NA>(주)휴먼아이엠씨20210826132735I2022-01-26 00:22:40.0<NA>346162.170101263970.660155대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획업, 연예인 및 모델 대행업<NA><NA>
2122대중문화예술기획업03_08_02_P6270000M0402201700000120170405<NA>3폐업3폐업20200115<NA><NA><NA>539515515<NA><NA>대구광역시 남구 대명동 ****번지 **호대구광역시 남구 대경길 *** (대명동)<NA>원샷엔터테인먼트20200115104946I2022-01-26 00:22:40.0<NA>342131.749794262222.52016대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>엔터테인먼트, 연예인매니지먼트, 음악영상물 제작<NA><NA>
2223대중문화예술기획업03_08_02_P6270000M0402201500000320150724<NA>1영업/정상1영업<NA><NA><NA><NA>532158417<NA><NA>대구광역시 수성구 신매동 ***번지대구광역시 수성구 신매로 **, ***동 ***호 (신매동,신매동,시지동서타운)<NA>프라이데이 레코즈20150724174359I2022-01-26 00:22:40.0<NA>354160.953055260630.225444대중문화예술기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대중문화예술기획<NA><NA>