Overview

Dataset statistics

Number of variables59
Number of observations22
Missing cells610
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory524.8 B

Variable types

Numeric6
Categorical20
Text5
Unsupported27
DateTime1

Dataset

Description22년05월_6270000_대구광역시_03_08_02_P_대중문화예술기획업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093584&dataSetDetailId=DDI_0000093597&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
도로명우편번호 is highly imbalanced (73.3%)Imbalance
총층수 is highly imbalanced (73.3%)Imbalance
시설면적 is highly imbalanced (73.3%)Imbalance
지상층수 is highly imbalanced (73.3%)Imbalance
지하층수 is highly imbalanced (73.3%)Imbalance
통로너비 is highly imbalanced (73.3%)Imbalance
조명시설조도 is highly imbalanced (73.3%)Imbalance
노래방실수 is highly imbalanced (73.3%)Imbalance
청소년실수 is highly imbalanced (73.3%)Imbalance
총게임기수 is highly imbalanced (73.3%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
소재지전화 has 12 (54.5%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
좌표정보(X) has 2 (9.1%) missing valuesMissing
좌표정보(Y) has 2 (9.1%) missing valuesMissing
문화사업자구분명 has 22 (100.0%) missing valuesMissing
주변환경명 has 22 (100.0%) missing valuesMissing
제작취급품목내용 has 22 (100.0%) missing valuesMissing
건물용도명 has 22 (100.0%) missing valuesMissing
비상계단여부 has 22 (100.0%) missing valuesMissing
비상구여부 has 22 (100.0%) missing valuesMissing
자동환기여부 has 22 (100.0%) missing valuesMissing
청소년실여부 has 22 (100.0%) missing valuesMissing
특수조명여부 has 22 (100.0%) missing valuesMissing
방음시설여부 has 22 (100.0%) missing valuesMissing
비디오재생기명 has 22 (100.0%) missing valuesMissing
조명시설유무 has 22 (100.0%) missing valuesMissing
음향시설여부 has 22 (100.0%) missing valuesMissing
편의시설여부 has 22 (100.0%) missing valuesMissing
소방시설여부 has 22 (100.0%) missing valuesMissing
기존게임업외업종명 has 22 (100.0%) missing valuesMissing
제공게임물명 has 22 (100.0%) missing valuesMissing
공연장형태구분명 has 22 (100.0%) missing valuesMissing
최초등록시점 has 22 (100.0%) missing valuesMissing
지역구분명 has 22 (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 started2024-04-21 09:25:47.266101
Analysis finished2024-04-21 09:25:48.141779
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T18:25:48.244673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-21T18:25:48.441623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
대중문화예술기획업
22 

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 22
100.0%

Length

2024-04-21T18:25:48.643781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:48.806809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 22
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
03_08_02_P
22 

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 22
100.0%

Length

2024-04-21T18:25:48.978085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:49.141803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_08_02_p 22
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
6270000
22 

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 22
100.0%

Length

2024-04-21T18:25:49.310949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:49.474966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T18:25:50.053163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters330
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

Unique22 ?
Unique (%)100.0%

Sample

1st rowM04022022000001
2nd rowM04022019000001
3rd rowM04022015000004
4th rowM04022015000005
5th rowM04022016000002
ValueCountFrequency (%)
m04022022000001 1
 
4.5%
m04022019000001 1
 
4.5%
m04022017000001 1
 
4.5%
m04022016000003 1
 
4.5%
m04022016000001 1
 
4.5%
m04022015000001 1
 
4.5%
m04022021000010 1
 
4.5%
m04022021000008 1
 
4.5%
m04022021000007 1
 
4.5%
m04022021000006 1
 
4.5%
Other values (12) 12
54.5%
2024-04-21T18:25:50.870597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 176
53.3%
2 58
 
17.6%
1 28
 
8.5%
4 25
 
7.6%
M 22
 
6.7%
5 7
 
2.1%
6 6
 
1.8%
3 3
 
0.9%
9 2
 
0.6%
7 2
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 308
93.3%
Uppercase Letter 22
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
57.1%
2 58
 
18.8%
1 28
 
9.1%
4 25
 
8.1%
5 7
 
2.3%
6 6
 
1.9%
3 3
 
1.0%
9 2
 
0.6%
7 2
 
0.6%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
M 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 308
93.3%
Latin 22
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 176
57.1%
2 58
 
18.8%
1 28
 
9.1%
4 25
 
8.1%
5 7
 
2.3%
6 6
 
1.9%
3 3
 
1.0%
9 2
 
0.6%
7 2
 
0.6%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
M 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 176
53.3%
2 58
 
17.6%
1 28
 
8.5%
4 25
 
7.6%
M 22
 
6.7%
5 7
 
2.1%
6 6
 
1.8%
3 3
 
0.9%
9 2
 
0.6%
7 2
 
0.6%

인허가일자
Real number (ℝ)

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20185089
Minimum20150619
Maximum20220323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T18:25:51.084528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150619
5-th percentile20150728
Q120160362
median20190771
Q320210591
95-th percentile20210914
Maximum20220323
Range69704
Interquartile range (IQR)50229

Descriptive statistics

Standard deviation26783.97
Coefficient of variation (CV)0.0013269186
Kurtosis-1.9133499
Mean20185089
Median Absolute Deviation (MAD)20262
Skewness-0.13178459
Sum4.4407196 × 108
Variance7.1738104 × 108
MonotonicityNot monotonic
2024-04-21T18:25:51.292839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20210108 3
 
13.6%
20210616 2
 
9.1%
20210623 2
 
9.1%
20220323 1
 
4.5%
20150724 1
 
4.5%
20170405 1
 
4.5%
20160525 1
 
4.5%
20160113 1
 
4.5%
20150619 1
 
4.5%
20210929 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
20150619 1
4.5%
20150724 1
4.5%
20150804 1
4.5%
20150805 1
4.5%
20160113 1
4.5%
20160308 1
4.5%
20160525 1
4.5%
20160614 1
4.5%
20160929 1
4.5%
20170405 1
4.5%
ValueCountFrequency (%)
20220323 1
 
4.5%
20210929 1
 
4.5%
20210623 2
9.1%
20210616 2
9.1%
20210517 1
 
4.5%
20210108 3
13.6%
20190813 1
 
4.5%
20190729 1
 
4.5%
20170405 1
 
4.5%
20160929 1
 
4.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
1
17 
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 17
77.3%
3 5
 
22.7%

Length

2024-04-21T18:25:51.512810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:51.682164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
77.3%
3 5
 
22.7%

영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
영업/정상
17 
폐업
5 

Length

Max length5
Median length5
Mean length4.3181818
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 17
77.3%
폐업 5
 
22.7%

Length

2024-04-21T18:25:51.886794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:52.075746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
77.3%
폐업 5
 
22.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
1
17 
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 17
77.3%
3 5
 
22.7%

Length

2024-04-21T18:25:52.255808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:52.424707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
77.3%
3 5
 
22.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
영업
17 
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 17
77.3%
폐업 5
 
22.7%

Length

2024-04-21T18:25:52.598393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:52.772048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 17
77.3%
폐업 5
 
22.7%

폐업일자
Categorical

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
17 
20191211
 
1
20170724
 
1
20160930
 
1
20200702
 
1

Length

Max length8
Median length4
Mean length4.9090909
Min length4

Unique

Unique5 ?
Unique (%)22.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
77.3%
20191211 1
 
4.5%
20170724 1
 
4.5%
20160930 1
 
4.5%
20200702 1
 
4.5%
20200115 1
 
4.5%

Length

2024-04-21T18:25:52.979903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:53.196330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
77.3%
20191211 1
 
4.5%
20170724 1
 
4.5%
20160930 1
 
4.5%
20200702 1
 
4.5%
20200115 1
 
4.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing12
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean2.1484946 × 109
Minimum5.3215842 × 108
Maximum7.0414684 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T18:25:53.375967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3215842 × 108
5-th percentile5.321686 × 108
Q15.3442083 × 108
median5.3780795 × 108
Q34.1218851 × 109
95-th percentile6.2928838 × 109
Maximum7.0414684 × 109
Range6.50931 × 109
Interquartile range (IQR)3.5874643 × 109

Descriptive statistics

Standard deviation2.6376066 × 109
Coefficient of variation (CV)1.2276533
Kurtosis-0.59652835
Mean2.1484946 × 109
Median Absolute Deviation (MAD)4809374.5
Skewness1.159843
Sum2.1484946 × 1010
Variance6.9569683 × 1018
MonotonicityNot monotonic
2024-04-21T18:25:53.562237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
537670220 1
 
4.5%
5377947002 1
 
4.5%
536235001 1
 
4.5%
537945683 1
 
4.5%
533816101 1
 
4.5%
532181053 1
 
4.5%
7041468383 1
 
4.5%
5316008325 1
 
4.5%
539515515 1
 
4.5%
532158417 1
 
4.5%
(Missing) 12
54.5%
ValueCountFrequency (%)
532158417 1
4.5%
532181053 1
4.5%
533816101 1
4.5%
536235001 1
4.5%
537670220 1
4.5%
537945683 1
4.5%
539515515 1
4.5%
5316008325 1
4.5%
5377947002 1
4.5%
7041468383 1
4.5%
ValueCountFrequency (%)
7041468383 1
4.5%
5377947002 1
4.5%
5316008325 1
4.5%
539515515 1
4.5%
537945683 1
4.5%
537670220 1
4.5%
536235001 1
4.5%
533816101 1
4.5%
532181053 1
4.5%
532158417 1
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

소재지전체주소
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T18:25:54.146942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32.5
Mean length27.090909
Min length21

Characters and Unicode

Total characters596
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

Unique18 ?
Unique (%)81.8%

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 22
18.0%
번지 22
18.0%
호 19
15.6%
수성구 7
 
5.7%
남구 7
 
5.7%
대명동 6
 
4.9%
중구 6
 
4.9%
계명대학교 2
 
1.6%
남산동 2
 
1.6%
동구 2
 
1.6%
Other values (25) 27
22.1%
2024-04-21T18:25:54.985940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
22.3%
* 106
17.8%
구 45
 
7.6%
대 32
 
5.4%
동 28
 
4.7%
시 24
 
4.0%
지 24
 
4.0%
역 23
 
3.9%
광 22
 
3.7%
번 22
 
3.7%
Other values (56) 137
23.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
58.9%
Space Separator 133
 
22.3%
Other Punctuation 107
 
18.0%
Uppercase Letter 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 45
12.8%
대 32
 
9.1%
동 28
 
8.0%
시 24
 
6.8%
지 24
 
6.8%
역 23
 
6.6%
광 22
 
6.3%
번 22
 
6.3%
호 20
 
5.7%
남 10
 
2.8%
Other values (48) 101
28.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
B 1
33.3%
C 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 106
99.1%
, 1
 
0.9%
Space Separator
ValueCountFrequency (%)
133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
58.9%
Common 242
40.6%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 45
12.8%
대 32
 
9.1%
동 28
 
8.0%
시 24
 
6.8%
지 24
 
6.8%
역 23
 
6.6%
광 22
 
6.3%
번 22
 
6.3%
호 20
 
5.7%
남 10
 
2.8%
Other values (48) 101
28.8%
Common
ValueCountFrequency (%)
133
55.0%
* 106
43.8%
, 1
 
0.4%
( 1
 
0.4%
) 1
 
0.4%
Latin
ValueCountFrequency (%)
T 1
33.3%
B 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
58.9%
ASCII 245
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
54.3%
* 106
43.3%
, 1
 
0.4%
T 1
 
0.4%
( 1
 
0.4%
) 1
 
0.4%
B 1
 
0.4%
C 1
 
0.4%
Hangul
ValueCountFrequency (%)
구 45
12.8%
대 32
 
9.1%
동 28
 
8.0%
시 24
 
6.8%
지 24
 
6.8%
역 23
 
6.6%
광 22
 
6.3%
번 22
 
6.3%
호 20
 
5.7%
남 10
 
2.8%
Other values (48) 101
28.8%

도로명전체주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T18:25:55.632727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36.5
Mean length32.636364
Min length22

Characters and Unicode

Total characters718
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

Unique22 ?
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 22
16.5%
22
16.5%
층 10
 
7.5%
호 9
 
6.8%
수성구 7
 
5.3%
남구 7
 
5.3%
중구 6
 
4.5%
대명동 4
 
3.0%
현충로 3
 
2.3%
명덕로 2
 
1.5%
Other values (36) 41
30.8%
2024-04-21T18:25:56.497678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 125
17.4%
111
15.5%
구 48
 
6.7%
대 37
 
5.2%
동 32
 
4.5%
, 28
 
3.9%
시 27
 
3.8%
역 23
 
3.2%
) 23
 
3.2%
( 23
 
3.2%
Other values (76) 241
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 392
54.6%
Other Punctuation 153
 
21.3%
Space Separator 111
 
15.5%
Close Punctuation 23
 
3.2%
Open Punctuation 23
 
3.2%
Dash Punctuation 13
 
1.8%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 48
 
12.2%
대 37
 
9.4%
동 32
 
8.2%
시 27
 
6.9%
역 23
 
5.9%
광 22
 
5.6%
로 21
 
5.4%
층 11
 
2.8%
명 11
 
2.8%
호 10
 
2.6%
Other values (67) 150
38.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
T 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 125
81.7%
, 28
 
18.3%
Space Separator
ValueCountFrequency (%)
111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
54.6%
Common 323
45.0%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 48
 
12.2%
대 37
 
9.4%
동 32
 
8.2%
시 27
 
6.9%
역 23
 
5.9%
광 22
 
5.6%
로 21
 
5.4%
층 11
 
2.8%
명 11
 
2.8%
호 10
 
2.6%
Other values (67) 150
38.3%
Common
ValueCountFrequency (%)
* 125
38.7%
111
34.4%
, 28
 
8.7%
) 23
 
7.1%
( 23
 
7.1%
- 13
 
4.0%
Latin
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
54.6%
ASCII 326
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 125
38.3%
111
34.0%
, 28
 
8.6%
) 23
 
7.1%
( 23
 
7.1%
- 13
 
4.0%
B 1
 
0.3%
C 1
 
0.3%
T 1
 
0.3%
Hangul
ValueCountFrequency (%)
구 48
 
12.2%
대 37
 
9.4%
동 32
 
8.2%
시 27
 
6.9%
역 23
 
5.9%
광 22
 
5.6%
로 21
 
5.4%
층 11
 
2.8%
명 11
 
2.8%
호 10
 
2.6%
Other values (67) 150
38.3%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
42250
 
1

Length

Max length5
Median length4
Mean length4.0454545
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
42250 1
 
4.5%

Length

2024-04-21T18:25:56.714664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:56.892041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
42250 1
 
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T18:25:57.431078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length10.909091
Min length3

Characters and Unicode

Total characters240
Distinct characters102
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

Unique22 ?
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
 
14.3%
엔터테인먼트 2
 
5.7%
인디053 2
 
5.7%
타게팅 1
 
2.9%
프라이데이 1
 
2.9%
원샷엔터테인먼트 1
 
2.9%
주)휴먼아이엠씨 1
 
2.9%
주)에스엔유커뮤니케이션즈 1
 
2.9%
꿈꾸는씨어터 1
 
2.9%
엠에스엔터테인먼트 1
 
2.9%
Other values (19) 19
54.3%
2024-04-21T18:25:58.253845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
5.4%
주 10
 
4.2%
) 10
 
4.2%
( 10
 
4.2%
이 9
 
3.8%
인 9
 
3.8%
터 8
 
3.3%
사 7
 
2.9%
에 6
 
2.5%
트 6
 
2.5%
Other values (92) 152
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
68.3%
Lowercase Letter 21
 
8.8%
Uppercase Letter 15
 
6.2%
Space Separator 13
 
5.4%
Close Punctuation 10
 
4.2%
Open Punctuation 10
 
4.2%
Decimal Number 7
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
6.1%
이 9
 
5.5%
인 9
 
5.5%
터 8
 
4.9%
사 7
 
4.3%
에 6
 
3.7%
트 6
 
3.7%
먼 6
 
3.7%
엔 6
 
3.7%
식 5
 
3.0%
Other values (62) 92
56.1%
Lowercase Letter
ValueCountFrequency (%)
n 5
23.8%
i 3
14.3%
a 2
 
9.5%
m 2
 
9.5%
o 2
 
9.5%
t 1
 
4.8%
c 1
 
4.8%
u 1
 
4.8%
s 1
 
4.8%
h 1
 
4.8%
Other values (2) 2
 
9.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
13.3%
E 2
13.3%
O 2
13.3%
C 2
13.3%
R 1
6.7%
L 1
6.7%
P 1
6.7%
S 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 (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
68.3%
Common 40
 
16.7%
Latin 36
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
6.1%
이 9
 
5.5%
인 9
 
5.5%
터 8
 
4.9%
사 7
 
4.3%
에 6
 
3.7%
트 6
 
3.7%
먼 6
 
3.7%
엔 6
 
3.7%
식 5
 
3.0%
Other values (62) 92
56.1%
Latin
ValueCountFrequency (%)
n 5
 
13.9%
i 3
 
8.3%
a 2
 
5.6%
T 2
 
5.6%
E 2
 
5.6%
O 2
 
5.6%
C 2
 
5.6%
m 2
 
5.6%
o 2
 
5.6%
R 1
 
2.8%
Other values (13) 13
36.1%
Common
ValueCountFrequency (%)
13
32.5%
) 10
25.0%
( 10
25.0%
0 2
 
5.0%
5 2
 
5.0%
3 2
 
5.0%
2 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
68.3%
ASCII 76
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
17.1%
) 10
 
13.2%
( 10
 
13.2%
n 5
 
6.6%
i 3
 
3.9%
a 2
 
2.6%
T 2
 
2.6%
E 2
 
2.6%
0 2
 
2.6%
5 2
 
2.6%
Other values (20) 25
32.9%
Hangul
ValueCountFrequency (%)
주 10
 
6.1%
이 9
 
5.5%
인 9
 
5.5%
터 8
 
4.9%
사 7
 
4.3%
에 6
 
3.7%
트 6
 
3.7%
먼 6
 
3.7%
엔 6
 
3.7%
식 5
 
3.0%
Other values (62) 92
56.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0197871 × 1013
Minimum2.0150724 × 1013
Maximum2.0220323 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T18:25:58.463035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0150724 × 1013
5-th percentile2.0151296 × 1013
Q12.0200137 × 1013
median2.0210259 × 1013
Q32.0210775 × 1013
95-th percentile2.0211103 × 1013
Maximum2.0220323 × 1013
Range6.9598988 × 1010
Interquartile range (IQR)1.0638266 × 1010

Descriptive statistics

Standard deviation2.2426683 × 1010
Coefficient of variation (CV)0.0011103489
Kurtosis0.22426194
Mean2.0197871 × 1013
Median Absolute Deviation (MAD)6.5896818 × 108
Skewness-1.3619607
Sum4.4435317 × 1014
Variance5.0295611 × 1020
MonotonicityNot monotonic
2024-04-21T18:25:58.677274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20220323162145 1
 
4.5%
20210623134952 1
 
4.5%
20150724174359 1
 
4.5%
20200115104946 1
 
4.5%
20210826132735 1
 
4.5%
20210409190240 1
 
4.5%
20210427170343 1
 
4.5%
20210929144810 1
 
4.5%
20210906172207 1
 
4.5%
20210906172126 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
20150724174359 1
4.5%
20150805134716 1
4.5%
20160614174120 1
4.5%
20160929163112 1
4.5%
20170619113948 1
4.5%
20200115104946 1
4.5%
20200203155659 1
4.5%
20201228202215 1
4.5%
20210108185937 1
4.5%
20210108190309 1
4.5%
ValueCountFrequency (%)
20220323162145 1
4.5%
20211112132231 1
4.5%
20210929144810 1
4.5%
20210906172207 1
4.5%
20210906172126 1
4.5%
20210826132735 1
4.5%
20210623135344 1
4.5%
20210623134952 1
4.5%
20210517143738 1
4.5%
20210427170343 1
4.5%

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
I
22 

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 22
100.0%

Length

2024-04-21T18:25:58.899317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:25:59.063634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
100.0%

데이터갱신일자
Date

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size304.0 B
Minimum2021-10-01 00:22:48
Maximum2022-03-25 00:22:35
2024-04-21T18:25:59.193375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:25:59.372320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing2
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean345628.46
Minimum342131.75
Maximum354160.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T18:25:59.571145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum342131.75
5-th percentile342607.79
Q1342937.87
median343932.51
Q3346597.29
95-th percentile353813.3
Maximum354160.95
Range12029.203
Interquartile range (IQR)3659.4122

Descriptive statistics

Standard deviation3835.4808
Coefficient of variation (CV)0.011097121
Kurtosis0.99054785
Mean345628.46
Median Absolute Deviation (MAD)1263.2473
Skewness1.4574322
Sum6912569.2
Variance14710913
MonotonicityNot monotonic
2024-04-21T18:25:59.777430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
343814.765016 1
 
4.5%
354160.953055 1
 
4.5%
342131.749794 1
 
4.5%
346162.170101 1
 
4.5%
343313.168269 1
 
4.5%
344089.146124 1
 
4.5%
342705.674751 1
 
4.5%
342868.64172 1
 
4.5%
344026.297036 1
 
4.5%
348080.318976 1
 
4.5%
Other values (10) 10
45.5%
(Missing) 2
 
9.1%
ValueCountFrequency (%)
342131.749794 1
4.5%
342632.844135 1
4.5%
342705.674751 1
4.5%
342774.766132 1
4.5%
342868.64172 1
4.5%
342960.950534 1
4.5%
343251.365403 1
4.5%
343313.168269 1
4.5%
343814.765016 1
4.5%
343838.716426 1
4.5%
ValueCountFrequency (%)
354160.953055 1
4.5%
353795.004106 1
4.5%
353156.530464 1
4.5%
348080.318976 1
4.5%
346671.596784 1
4.5%
346572.515153 1
4.5%
346162.170101 1
4.5%
345562.075218 1
4.5%
344089.146124 1
4.5%
344026.297036 1
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing2
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean263062.76
Minimum260361.8
Maximum271080.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T18:26:00.177740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260361.8
5-th percentile260616.8
Q1261566.66
median262676.95
Q3264044.34
95-th percentile265298.54
Maximum271080.46
Range10718.658
Interquartile range (IQR)2477.6822

Descriptive statistics

Standard deviation2332.3004
Coefficient of variation (CV)0.0088659467
Kurtosis6.936166
Mean263062.76
Median Absolute Deviation (MAD)1229.3179
Skewness2.1878858
Sum5261255.2
Variance5439625.2
MonotonicityNot monotonic
2024-04-21T18:26:00.379766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
261512.024314 1
 
4.5%
260630.225444 1
 
4.5%
262222.52016 1
 
4.5%
263970.660155 1
 
4.5%
264265.370229 1
 
4.5%
264724.521659 1
 
4.5%
261818.497184 1
 
4.5%
262544.964549 1
 
4.5%
263394.272257 1
 
4.5%
271080.457859 1
 
4.5%
Other values (10) 10
45.5%
(Missing) 2
 
9.1%
ValueCountFrequency (%)
260361.799669 1
4.5%
260630.225444 1
4.5%
261059.937627 1
4.5%
261215.331082 1
4.5%
261512.024314 1
4.5%
261584.86584 1
4.5%
261818.497184 1
4.5%
262222.52016 1
4.5%
262544.964549 1
4.5%
262643.902173 1
4.5%
ValueCountFrequency (%)
271080.457859 1
4.5%
264994.226366 1
4.5%
264724.521659 1
4.5%
264520.837975 1
4.5%
264265.370229 1
4.5%
263970.660155 1
4.5%
263394.272257 1
4.5%
263087.885219 1
4.5%
262912.887933 1
4.5%
262709.991177 1
4.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
대중문화예술기획업
22 

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 22
100.0%

Length

2024-04-21T18:26:00.583237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:00.746514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 22
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:00.928287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:01.108488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:01.297688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:01.476410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:01.664582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:01.844307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:02.030704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:02.209767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:02.396903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:02.575502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:02.762855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:02.942239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:03.129735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:03.309932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:03.498734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:03.680014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
0 1
 
4.5%

Length

2024-04-21T18:26:03.869514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:26:04.048913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

품목명
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T18:26:04.810386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length31.5
Mean length29.863636
Min length6

Characters and Unicode

Total characters657
Distinct characters142
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

Unique19 ?
Unique (%)86.4%

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 (%)
18
 
13.4%
대중문화예술기획업 6
 
4.5%
및 4
 
3.0%
공연 4
 
3.0%
사업자등록번호 3
 
2.2%
등 3
 
2.2%
음반 3
 
2.2%
매니지먼트 3
 
2.2%
대표자 3
 
2.2%
공연기획 2
 
1.5%
Other values (78) 85
63.4%
2024-04-21T18:26:05.862612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
16.0%
, 34
 
5.2%
기 22
 
3.3%
획 20
 
3.0%
대 19
 
2.9%
업 18
 
2.7%
연 13
 
2.0%
트 13
 
2.0%
예 13
 
2.0%
) 11
 
1.7%
Other values (132) 389
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
63.6%
Space Separator 105
 
16.0%
Other Punctuation 52
 
7.9%
Decimal Number 36
 
5.5%
Close Punctuation 11
 
1.7%
Open Punctuation 11
 
1.7%
Control 9
 
1.4%
Uppercase Letter 9
 
1.4%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 22
 
5.3%
획 20
 
4.8%
대 19
 
4.5%
업 18
 
4.3%
연 13
 
3.1%
트 13
 
3.1%
예 13
 
3.1%
술 10
 
2.4%
먼 10
 
2.4%
중 10
 
2.4%
Other values (107) 270
64.6%
Decimal Number
ValueCountFrequency (%)
0 6
16.7%
6 5
13.9%
3 5
13.9%
5 5
13.9%
2 4
11.1%
4 4
11.1%
8 3
8.3%
1 2
 
5.6%
7 1
 
2.8%
9 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 34
65.4%
: 9
 
17.3%
/ 3
 
5.8%
* 3
 
5.8%
. 1
 
1.9%
· 1
 
1.9%
& 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
N 3
33.3%
M 3
33.3%
C 3
33.3%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Control
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
63.6%
Common 230
35.0%
Latin 9
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 22
 
5.3%
획 20
 
4.8%
대 19
 
4.5%
업 18
 
4.3%
연 13
 
3.1%
트 13
 
3.1%
예 13
 
3.1%
술 10
 
2.4%
먼 10
 
2.4%
중 10
 
2.4%
Other values (107) 270
64.6%
Common
ValueCountFrequency (%)
105
45.7%
, 34
 
14.8%
) 11
 
4.8%
( 11
 
4.8%
9
 
3.9%
: 9
 
3.9%
0 6
 
2.6%
- 6
 
2.6%
6 5
 
2.2%
3 5
 
2.2%
Other values (12) 29
 
12.6%
Latin
ValueCountFrequency (%)
N 3
33.3%
M 3
33.3%
C 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
63.6%
ASCII 238
36.2%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
44.1%
, 34
 
14.3%
) 11
 
4.6%
( 11
 
4.6%
9
 
3.8%
: 9
 
3.8%
0 6
 
2.5%
- 6
 
2.5%
6 5
 
2.1%
3 5
 
2.1%
Other values (14) 37
 
15.5%
Hangul
ValueCountFrequency (%)
기 22
 
5.3%
획 20
 
4.8%
대 19
 
4.5%
업 18
 
4.3%
연 13
 
3.1%
트 13
 
3.1%
예 13
 
3.1%
술 10
 
2.4%
먼 10
 
2.4%
중 10
 
2.4%
Other values (107) 270
64.6%
None
ValueCountFrequency (%)
· 1
100.0%

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 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
1213대중문화예술기획업03_08_02_P6270000M0402202100000520210616<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 ****번지 **호 계명대학교 의양관동대구광역시 남구 명덕로 ***-*, 의양관동 ***호 (대명동,계명대학교)<NA>잇쓰리20210623134952I2022-01-26 00:22:40.0<NA>342774.766132262912.887933대중문화예술기획업<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>MCN, 유튜버 & 스티리머 매니지먼트<NA><NA>
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_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>
1819대중문화예술기획업03_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>
1920대중문화예술기획업03_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>
2021대중문화예술기획업03_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>
2122대중문화예술기획업03_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>