Overview

Dataset statistics

Number of variables56
Number of observations21
Missing cells554
Missing cells (%)47.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory493.3 B

Variable types

Categorical18
Text9
DateTime3
Unsupported22
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17778/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
인허가취소일자 has 21 (100.0%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 10 (47.6%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
도로명우편번호 has 5 (23.8%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
주변환경명 has 20 (95.2%) missing valuesMissing
제작취급품목내용 has 14 (66.7%) missing valuesMissing
시설면적 has 4 (19.0%) missing valuesMissing
건물용도명 has 19 (90.5%) missing valuesMissing
비상계단여부 has 21 (100.0%) missing valuesMissing
비상구여부 has 21 (100.0%) missing valuesMissing
자동환기여부 has 21 (100.0%) missing valuesMissing
청소년실여부 has 21 (100.0%) missing valuesMissing
특수조명여부 has 21 (100.0%) missing valuesMissing
방음시설여부 has 21 (100.0%) missing valuesMissing
비디오재생기명 has 21 (100.0%) missing valuesMissing
조명시설유무 has 21 (100.0%) missing valuesMissing
음향시설여부 has 21 (100.0%) missing valuesMissing
편의시설여부 has 21 (100.0%) missing valuesMissing
소방시설여부 has 21 (100.0%) missing valuesMissing
기존게임업외업종명 has 21 (100.0%) missing valuesMissing
제공게임물명 has 21 (100.0%) missing valuesMissing
공연장형태구분명 has 21 (100.0%) missing valuesMissing
품목명 has 21 (100.0%) missing valuesMissing
최초등록시점 has 21 (100.0%) missing valuesMissing
지역구분명 has 20 (95.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
업태구분명 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
품목명 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
시설면적 has 12 (57.1%) zerosZeros

Reproduction

Analysis started2024-05-10 22:57:03.354176
Analysis finished2024-05-10 22:57:05.035085
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3010000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 21
100.0%

Length

2024-05-10T22:57:05.244438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:05.581692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 21
100.0%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-10T22:57:05.975793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowCDFF3241102002000001
2nd rowCDFF3241102002000002
3rd rowCDFF3241102002000003
4th rowCDFF3241102004000001
5th rowCDFF3241102005000001
ValueCountFrequency (%)
cdff3241102002000001 1
 
4.8%
cdff3241102015000002 1
 
4.8%
cdff3241102024000001 1
 
4.8%
cdff3241102023000001 1
 
4.8%
cdff3241102022000001 1
 
4.8%
cdff3241102021000001 1
 
4.8%
cdff3241102018000003 1
 
4.8%
cdff3241102018000002 1
 
4.8%
cdff3241102018000001 1
 
4.8%
cdff3241102017000001 1
 
4.8%
Other values (11) 11
52.4%
2024-05-10T22:57:06.919071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 153
36.4%
1 65
15.5%
2 59
 
14.0%
F 42
 
10.0%
3 25
 
6.0%
4 25
 
6.0%
C 21
 
5.0%
D 21
 
5.0%
5 4
 
1.0%
8 3
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 153
45.5%
1 65
19.3%
2 59
 
17.6%
3 25
 
7.4%
4 25
 
7.4%
5 4
 
1.2%
8 3
 
0.9%
7 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 153
45.5%
1 65
19.3%
2 59
 
17.6%
3 25
 
7.4%
4 25
 
7.4%
5 4
 
1.2%
8 3
 
0.9%
7 2
 
0.6%
Latin
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 153
36.4%
1 65
15.5%
2 59
 
14.0%
F 42
 
10.0%
3 25
 
6.0%
4 25
 
6.0%
C 21
 
5.0%
D 21
 
5.0%
5 4
 
1.0%
8 3
 
0.7%

인허가일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2002-05-13 00:00:00
Maximum2024-02-16 00:00:00
2024-05-10T22:57:07.494149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:57:07.987445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
15 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
71.4%
3 6
 
28.6%

Length

2024-05-10T22:57:08.464613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:08.776105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
71.4%
3 6
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
15 
폐업
6 

Length

Max length5
Median length5
Mean length4.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
71.4%
폐업 6
 
28.6%

Length

2024-05-10T22:57:09.140070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:09.580451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
71.4%
폐업 6
 
28.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
13
15 
3
6 

Length

Max length2
Median length2
Mean length1.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 15
71.4%
3 6
 
28.6%

Length

2024-05-10T22:57:10.448979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:10.832755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 15
71.4%
3 6
 
28.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
15 
폐업
6 

Length

Max length3
Median length3
Mean length2.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 15
71.4%
폐업 6
 
28.6%

Length

2024-05-10T22:57:11.414315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:11.883311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 15
71.4%
폐업 6
 
28.6%

폐업일자
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
15 
20200921
2 
20140204
 
1
20180530
 
1
20210226
 
1

Length

Max length8
Median length4
Mean length5.1428571
Min length4

Unique

Unique4 ?
Unique (%)19.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
71.4%
20200921 2
 
9.5%
20140204 1
 
4.8%
20180530 1
 
4.8%
20210226 1
 
4.8%
20190326 1
 
4.8%

Length

2024-05-10T22:57:12.431242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:12.856136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
71.4%
20200921 2
 
9.5%
20140204 1
 
4.8%
20180530 1
 
4.8%
20210226 1
 
4.8%
20190326 1
 
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing10
Missing (%)47.6%
Memory size300.0 B
2024-05-10T22:57:13.266139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.818182
Min length8

Characters and Unicode

Total characters119
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)81.8%

Sample

1st row2263-2761
2nd row2268-3791
3rd row2231-7248
4th row070-7801-3636
5th row730-0088
ValueCountFrequency (%)
02-573-7474 2
18.2%
2263-2761 1
9.1%
2268-3791 1
9.1%
2231-7248 1
9.1%
070-7801-3636 1
9.1%
730-0088 1
9.1%
02-2106-0912 1
9.1%
02-2138-2874 1
9.1%
02-3455-4398 1
9.1%
070-8801-0447 1
9.1%
2024-05-10T22:57:14.251533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18
15.1%
0 17
14.3%
2 17
14.3%
7 15
12.6%
3 11
9.2%
4 10
8.4%
8 10
8.4%
1 8
6.7%
6 6
 
5.0%
5 4
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101
84.9%
Dash Punctuation 18
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
16.8%
2 17
16.8%
7 15
14.9%
3 11
10.9%
4 10
9.9%
8 10
9.9%
1 8
7.9%
6 6
 
5.9%
5 4
 
4.0%
9 3
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 18
15.1%
0 17
14.3%
2 17
14.3%
7 15
12.6%
3 11
9.2%
4 10
8.4%
8 10
8.4%
1 8
6.7%
6 6
 
5.0%
5 4
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 18
15.1%
0 17
14.3%
2 17
14.3%
7 15
12.6%
3 11
9.2%
4 10
8.4%
8 10
8.4%
1 8
6.7%
6 6
 
5.0%
5 4
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
16 
100250
2 
100400
 
1
100195
 
1
100761
 
1

Length

Max length6
Median length4
Mean length4.4761905
Min length4

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row100400
2nd row<NA>
3rd row100195
4th row100761
5th row100250

Common Values

ValueCountFrequency (%)
<NA> 16
76.2%
100250 2
 
9.5%
100400 1
 
4.8%
100195 1
 
4.8%
100761 1
 
4.8%

Length

2024-05-10T22:57:14.735059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:15.149551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
76.2%
100250 2
 
9.5%
100400 1
 
4.8%
100195 1
 
4.8%
100761 1
 
4.8%

지번주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-10T22:57:15.802326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31
Mean length27.47619
Min length20

Characters and Unicode

Total characters577
Distinct characters94
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 중구 쌍림동 ***-*번지 한림빌딩**층
2nd row서울특별시 중구 광희동*가 ***번지
3rd row서울특별시 중구 을지로*가 **-*번지 미디올빌딩 *층
4th row서울특별시 중구 신당동 ***-***번지 지하
5th row서울특별시 중구 예장동 *-**번지
ValueCountFrequency (%)
서울특별시 21
19.1%
중구 21
19.1%
번지 11
 
10.0%
10
 
9.1%
호 5
 
4.5%
충무로*가 3
 
2.7%
층 3
 
2.7%
신당동 2
 
1.8%
남대문로*가 2
 
1.8%
예장동 2
 
1.8%
Other values (28) 30
27.3%
2024-05-10T22:57:16.727805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 107
18.5%
105
18.2%
서 22
 
3.8%
시 22
 
3.8%
중 22
 
3.8%
특 21
 
3.6%
별 21
 
3.6%
구 21
 
3.6%
울 21
 
3.6%
지 16
 
2.8%
Other values (84) 199
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
56.2%
Other Punctuation 107
 
18.5%
Space Separator 105
 
18.2%
Lowercase Letter 17
 
2.9%
Dash Punctuation 12
 
2.1%
Uppercase Letter 8
 
1.4%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
6.8%
시 22
 
6.8%
중 22
 
6.8%
특 21
 
6.5%
별 21
 
6.5%
구 21
 
6.5%
울 21
 
6.5%
지 16
 
4.9%
동 14
 
4.3%
번 11
 
3.4%
Other values (64) 133
41.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
r 3
17.6%
w 2
 
11.8%
o 2
 
11.8%
t 1
 
5.9%
l 1
 
5.9%
n 1
 
5.9%
a 1
 
5.9%
c 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
T 2
25.0%
P 1
12.5%
C 1
12.5%
L 1
12.5%
I 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 107
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
56.2%
Common 228
39.5%
Latin 25
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
6.8%
시 22
 
6.8%
중 22
 
6.8%
특 21
 
6.5%
별 21
 
6.5%
구 21
 
6.5%
울 21
 
6.5%
지 16
 
4.9%
동 14
 
4.3%
번 11
 
3.4%
Other values (64) 133
41.0%
Latin
ValueCountFrequency (%)
e 5
20.0%
r 3
12.0%
w 2
 
8.0%
o 2
 
8.0%
A 2
 
8.0%
T 2
 
8.0%
t 1
 
4.0%
l 1
 
4.0%
P 1
 
4.0%
n 1
 
4.0%
Other values (5) 5
20.0%
Common
ValueCountFrequency (%)
* 107
46.9%
105
46.1%
- 12
 
5.3%
) 2
 
0.9%
( 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
56.2%
ASCII 253
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 107
42.3%
105
41.5%
- 12
 
4.7%
e 5
 
2.0%
r 3
 
1.2%
w 2
 
0.8%
) 2
 
0.8%
o 2
 
0.8%
A 2
 
0.8%
T 2
 
0.8%
Other values (10) 11
 
4.3%
Hangul
ValueCountFrequency (%)
서 22
 
6.8%
시 22
 
6.8%
중 22
 
6.8%
특 21
 
6.5%
별 21
 
6.5%
구 21
 
6.5%
울 21
 
6.5%
지 16
 
4.9%
동 14
 
4.3%
번 11
 
3.4%
Other values (64) 133
41.0%

도로명주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-10T22:57:17.300875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length32.666667
Min length23

Characters and Unicode

Total characters686
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 중구 동호로 *** (쌍림동,한림빌딩**층)
2nd row서울특별시 중구 퇴계로 *** (광희동*가)
3rd row서울특별시 중구 을지로 *** (을지로*가,미디올빌딩 *층)
4th row서울특별시 중구 다산로**길 ** (신당동,지하)
5th row서울특별시 중구 소파로 *** (예장동)
ValueCountFrequency (%)
서울특별시 21
16.0%
21
16.0%
중구 21
16.0%
층 7
 
5.3%
호 4
 
3.1%
명동*길 3
 
2.3%
충무로*가 3
 
2.3%
지하 2
 
1.5%
다동 2
 
1.5%
남대문로*가 2
 
1.5%
Other values (45) 45
34.4%
2024-05-10T22:57:18.384865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
16.8%
* 101
 
14.7%
로 25
 
3.6%
) 23
 
3.4%
( 23
 
3.4%
서 22
 
3.2%
구 21
 
3.1%
울 21
 
3.1%
중 21
 
3.1%
시 21
 
3.1%
Other values (97) 293
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
55.5%
Other Punctuation 117
 
17.1%
Space Separator 115
 
16.8%
Close Punctuation 23
 
3.4%
Open Punctuation 23
 
3.4%
Lowercase Letter 17
 
2.5%
Uppercase Letter 8
 
1.2%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 25
 
6.6%
서 22
 
5.8%
구 21
 
5.5%
울 21
 
5.5%
중 21
 
5.5%
시 21
 
5.5%
별 21
 
5.5%
특 21
 
5.5%
동 19
 
5.0%
길 12
 
3.1%
Other values (76) 177
46.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
r 3
17.6%
w 2
 
11.8%
o 2
 
11.8%
a 1
 
5.9%
l 1
 
5.9%
t 1
 
5.9%
n 1
 
5.9%
c 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
A 2
25.0%
P 1
12.5%
I 1
12.5%
C 1
12.5%
L 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 101
86.3%
, 16
 
13.7%
Space Separator
ValueCountFrequency (%)
115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
55.5%
Common 280
40.8%
Latin 25
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 25
 
6.6%
서 22
 
5.8%
구 21
 
5.5%
울 21
 
5.5%
중 21
 
5.5%
시 21
 
5.5%
별 21
 
5.5%
특 21
 
5.5%
동 19
 
5.0%
길 12
 
3.1%
Other values (76) 177
46.5%
Latin
ValueCountFrequency (%)
e 5
20.0%
r 3
12.0%
T 2
 
8.0%
w 2
 
8.0%
o 2
 
8.0%
A 2
 
8.0%
P 1
 
4.0%
a 1
 
4.0%
l 1
 
4.0%
I 1
 
4.0%
Other values (5) 5
20.0%
Common
ValueCountFrequency (%)
115
41.1%
* 101
36.1%
) 23
 
8.2%
( 23
 
8.2%
, 16
 
5.7%
- 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
55.5%
ASCII 305
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
37.7%
* 101
33.1%
) 23
 
7.5%
( 23
 
7.5%
, 16
 
5.2%
e 5
 
1.6%
r 3
 
1.0%
T 2
 
0.7%
w 2
 
0.7%
o 2
 
0.7%
Other values (11) 13
 
4.3%
Hangul
ValueCountFrequency (%)
로 25
 
6.6%
서 22
 
5.8%
구 21
 
5.5%
울 21
 
5.5%
중 21
 
5.5%
시 21
 
5.5%
별 21
 
5.5%
특 21
 
5.5%
동 19
 
5.0%
길 12
 
3.1%
Other values (76) 177
46.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean16535.375
Minimum4511
Maximum100874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-10T22:57:18.789206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4511
5-th percentile4512.5
Q14529.5
median4545.5
Q34577.25
95-th percentile100226.75
Maximum100874
Range96363
Interquartile range (IQR)47.75

Descriptive statistics

Standard deviation32754.383
Coefficient of variation (CV)1.9808673
Kurtosis4.8989066
Mean16535.375
Median Absolute Deviation (MAD)23.5
Skewness2.5095685
Sum264566
Variance1.0728496 × 109
MonotonicityNot monotonic
2024-05-10T22:57:19.299339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4536 2
 
9.5%
4560 1
 
4.8%
4513 1
 
4.8%
100011 1
 
4.8%
4511 1
 
4.8%
100874 1
 
4.8%
4637 1
 
4.8%
4521 1
 
4.8%
4522 1
 
4.8%
4551 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 5
23.8%
ValueCountFrequency (%)
4511 1
4.8%
4513 1
4.8%
4521 1
4.8%
4522 1
4.8%
4532 1
4.8%
4536 2
9.5%
4542 1
4.8%
4549 1
4.8%
4551 1
4.8%
4560 1
4.8%
ValueCountFrequency (%)
100874 1
4.8%
100011 1
4.8%
4637 1
4.8%
4602 1
4.8%
4569 1
4.8%
4560 1
4.8%
4551 1
4.8%
4549 1
4.8%
4542 1
4.8%
4536 2
9.5%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-10T22:57:19.891512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length11
Mean length9.6666667
Min length3

Characters and Unicode

Total characters203
Distinct characters110
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

Unique21 ?
Unique (%)100.0%

Sample

1st row(주)어뮤즈월드피아
2nd row(주)매스노벨티
3rd row(주)알앤멜로디
4th row라운드
5th row(주)타이슨펜 동랑인터내셔날
ValueCountFrequency (%)
주)어뮤즈월드피아 1
 
3.7%
에스케이커뮤니케이션즈(주 1
 
3.7%
나렌쉬프 1
 
3.7%
스윙바이 1
 
3.7%
플래그쉽 1
 
3.7%
커넥티드 1
 
3.7%
주식회사 1
 
3.7%
신한라이프생명보험 1
 
3.7%
소공원 1
 
3.7%
ica,lnc 1
 
3.7%
Other values (17) 17
63.0%
2024-05-10T22:57:21.201958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 13
 
6.4%
) 13
 
6.4%
주 13
 
6.4%
이 9
 
4.4%
6
 
3.0%
스 5
 
2.5%
드 4
 
2.0%
앤 3
 
1.5%
사 3
 
1.5%
제 2
 
1.0%
Other values (100) 132
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
72.4%
Lowercase Letter 15
 
7.4%
Open Punctuation 13
 
6.4%
Close Punctuation 13
 
6.4%
Uppercase Letter 7
 
3.4%
Space Separator 6
 
3.0%
Other Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
8.8%
이 9
 
6.1%
스 5
 
3.4%
드 4
 
2.7%
앤 3
 
2.0%
사 3
 
2.0%
제 2
 
1.4%
리 2
 
1.4%
시 2
 
1.4%
니 2
 
1.4%
Other values (80) 102
69.4%
Lowercase Letter
ValueCountFrequency (%)
c 2
13.3%
l 2
13.3%
n 2
13.3%
u 2
13.3%
d 1
6.7%
o 1
6.7%
e 1
6.7%
p 1
6.7%
a 1
6.7%
i 1
6.7%
Uppercase Letter
ValueCountFrequency (%)
N 2
28.6%
E 2
28.6%
S 2
28.6%
R 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
72.4%
Common 34
 
16.7%
Latin 22
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
8.8%
이 9
 
6.1%
스 5
 
3.4%
드 4
 
2.7%
앤 3
 
2.0%
사 3
 
2.0%
제 2
 
1.4%
리 2
 
1.4%
시 2
 
1.4%
니 2
 
1.4%
Other values (80) 102
69.4%
Latin
ValueCountFrequency (%)
N 2
 
9.1%
E 2
 
9.1%
c 2
 
9.1%
l 2
 
9.1%
n 2
 
9.1%
u 2
 
9.1%
S 2
 
9.1%
R 1
 
4.5%
d 1
 
4.5%
o 1
 
4.5%
Other values (5) 5
22.7%
Common
ValueCountFrequency (%)
( 13
38.2%
) 13
38.2%
6
17.6%
. 1
 
2.9%
, 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
72.4%
ASCII 56
 
27.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 13
23.2%
) 13
23.2%
6
10.7%
N 2
 
3.6%
E 2
 
3.6%
c 2
 
3.6%
l 2
 
3.6%
n 2
 
3.6%
u 2
 
3.6%
S 2
 
3.6%
Other values (10) 10
17.9%
Hangul
ValueCountFrequency (%)
주 13
 
8.8%
이 9
 
6.1%
스 5
 
3.4%
드 4
 
2.7%
앤 3
 
2.0%
사 3
 
2.0%
제 2
 
1.4%
리 2
 
1.4%
시 2
 
1.4%
니 2
 
1.4%
Other values (80) 102
69.4%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2006-03-09 11:51:02
Maximum2024-02-16 18:32:31
2024-05-10T22:57:21.703628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:57:22.141896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
14 
U
7 

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 14
66.7%
U 7
33.3%

Length

2024-05-10T22:57:22.640952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:23.004950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
66.7%
u 7
33.3%

데이터갱신일자
Date

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:08:00
2024-05-10T22:57:23.282802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:57:23.633564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199034.13
Minimum197408.04
Maximum201334.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-10T22:57:24.029305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197408.04
5-th percentile197566.86
Q1198306.91
median198655.32
Q3200175
95-th percentile201101.94
Maximum201334.62
Range3926.5777
Interquartile range (IQR)1868.09

Descriptive statistics

Standard deviation1141.205
Coefficient of variation (CV)0.0057337153
Kurtosis-0.5977913
Mean199034.13
Median Absolute Deviation (MAD)505.47969
Skewness0.64889754
Sum4179716.7
Variance1302348.9
MonotonicityNot monotonic
2024-05-10T22:57:24.633731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
198563.350432385 2
 
9.5%
197791.105095409 1
 
4.8%
201334.615888293 1
 
4.8%
199358.790432391 1
 
4.8%
200405.867395546 1
 
4.8%
198315.532747026 1
 
4.8%
198877.134150639 1
 
4.8%
199025.825275946 1
 
4.8%
198193.534402364 1
 
4.8%
198306.905839189 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
197408.038213908 1
4.8%
197566.862311117 1
4.8%
197791.105095409 1
4.8%
198149.837723773 1
4.8%
198193.534402364 1
4.8%
198306.905839189 1
4.8%
198315.532747026 1
4.8%
198403.083197305 1
4.8%
198563.350432385 2
9.5%
198655.31741243 1
4.8%
ValueCountFrequency (%)
201334.615888293 1
4.8%
201101.941207052 1
4.8%
200437.000174126 1
4.8%
200405.867395546 1
4.8%
200182.534630661 1
4.8%
200174.995848544 1
4.8%
199358.790432391 1
4.8%
199025.825275946 1
4.8%
198901.065845114 1
4.8%
198877.134150639 1
4.8%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451094.82
Minimum449853.82
Maximum451808.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-10T22:57:25.128497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449853.82
5-th percentile450173.97
Q1450743.17
median451100.77
Q3451419.17
95-th percentile451675.5
Maximum451808.1
Range1954.2826
Interquartile range (IQR)675.99559

Descriptive statistics

Standard deviation503.91238
Coefficient of variation (CV)0.0011170875
Kurtosis0.50557826
Mean451094.82
Median Absolute Deviation (MAD)357.59818
Skewness-0.84815781
Sum9472991.2
Variance253927.69
MonotonicityNot monotonic
2024-05-10T22:57:25.632454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
451062.298492966 2
 
9.5%
450173.966697254 1
 
4.8%
451564.650487723 1
 
4.8%
451400.776084123 1
 
4.8%
449853.815713824 1
 
4.8%
451248.141599825 1
 
4.8%
451578.377236664 1
 
4.8%
451419.170289805 1
 
4.8%
451650.955791238 1
 
4.8%
451808.098341971 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
449853.815713824 1
4.8%
450173.966697254 1
4.8%
450565.862783088 1
4.8%
450674.450435206 1
4.8%
450736.472534574 1
4.8%
450743.17470197 1
4.8%
450940.510965994 1
4.8%
451049.012425837 1
4.8%
451062.298492966 2
9.5%
451100.772883934 1
4.8%
ValueCountFrequency (%)
451808.098341971 1
4.8%
451675.501825666 1
4.8%
451650.955791238 1
4.8%
451578.377236664 1
4.8%
451564.650487723 1
4.8%
451419.170289805 1
4.8%
451400.776084123 1
4.8%
451347.193947525 1
4.8%
451335.718987721 1
4.8%
451248.141599825 1
4.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
음반.음악영상물배급업
17 
<NA>
4 

Length

Max length11
Median length11
Mean length9.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물배급업
2nd row음반.음악영상물배급업
3rd row음반.음악영상물배급업
4th row음반.음악영상물배급업
5th row음반.음악영상물배급업

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:26.167088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:26.600004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 17
81.0%
na 4
 
19.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
유통관련업
17 
<NA>
4 

Length

Max length5
Median length5
Mean length4.8095238
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:27.132818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:27.576157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 17
81.0%
na 4
 
19.0%

총층수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:28.032987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:28.392260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2024-05-10T22:57:28.745299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-05-10T22:57:29.459272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

제작취급품목내용
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing14
Missing (%)66.7%
Memory size300.0 B
2024-05-10T22:57:29.855044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.2857143
Min length5

Characters and Unicode

Total characters44
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st row음반 음악영상물
2nd row음반음악영상물
3rd row음반음악영상물
4th row음반음악영상물
5th row음원 배급
ValueCountFrequency (%)
음반음악영상물 3
30.0%
음원 2
20.0%
배급 2
20.0%
음반 1
 
10.0%
음악영상물 1
 
10.0%
뮤직비디오 1
 
10.0%
2024-05-10T22:57:30.943425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 10
22.7%
반 4
 
9.1%
악 4
 
9.1%
영 4
 
9.1%
상 4
 
9.1%
물 4
 
9.1%
3
 
6.8%
원 2
 
4.5%
배 2
 
4.5%
급 2
 
4.5%
Other values (5) 5
11.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
93.2%
Space Separator 3
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 10
24.4%
반 4
 
9.8%
악 4
 
9.8%
영 4
 
9.8%
상 4
 
9.8%
물 4
 
9.8%
원 2
 
4.9%
배 2
 
4.9%
급 2
 
4.9%
뮤 1
 
2.4%
Other values (4) 4
 
9.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41
93.2%
Common 3
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 10
24.4%
반 4
 
9.8%
악 4
 
9.8%
영 4
 
9.8%
상 4
 
9.8%
물 4
 
9.8%
원 2
 
4.9%
배 2
 
4.9%
급 2
 
4.9%
뮤 1
 
2.4%
Other values (4) 4
 
9.8%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41
93.2%
ASCII 3
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 10
24.4%
반 4
 
9.8%
악 4
 
9.8%
영 4
 
9.8%
상 4
 
9.8%
물 4
 
9.8%
원 2
 
4.9%
배 2
 
4.9%
급 2
 
4.9%
뮤 1
 
2.4%
Other values (4) 4
 
9.8%
ASCII
ValueCountFrequency (%)
3
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)35.3%
Missing4
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean8.4870588
Minimum0
Maximum111.96
Zeros12
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-10T22:57:31.319471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.65
95-th percentile38.392
Maximum111.96
Range111.96
Interquartile range (IQR)1.65

Descriptive statistics

Standard deviation27.122869
Coefficient of variation (CV)3.1957913
Kurtosis15.647343
Mean8.4870588
Median Absolute Deviation (MAD)0
Skewness3.9108949
Sum144.28
Variance735.65001
MonotonicityNot monotonic
2024-05-10T22:57:31.659821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 12
57.1%
5.0 1
 
4.8%
1.65 1
 
4.8%
111.96 1
 
4.8%
5.67 1
 
4.8%
20.0 1
 
4.8%
(Missing) 4
 
19.0%
ValueCountFrequency (%)
0.0 12
57.1%
1.65 1
 
4.8%
5.0 1
 
4.8%
5.67 1
 
4.8%
20.0 1
 
4.8%
111.96 1
 
4.8%
ValueCountFrequency (%)
111.96 1
 
4.8%
20.0 1
 
4.8%
5.67 1
 
4.8%
5.0 1
 
4.8%
1.65 1
 
4.8%
0.0 12
57.1%

지상층수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:32.085139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:32.413239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

지하층수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:32.880829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:33.220776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing19
Missing (%)90.5%
Memory size300.0 B
2024-05-10T22:57:33.530039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
100.0%
2024-05-10T22:57:34.288137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

통로너비
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:35.095211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:35.448360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

조명시설조도
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:35.859159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:36.321672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

노래방실수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:36.855645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:37.245116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

청소년실수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:37.732280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:38.160453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총게임기수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
81.0%
<NA> 4
 
19.0%

Length

2024-05-10T22:57:38.577906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:57:38.918737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
na 4
 
19.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2024-05-10T22:57:39.487377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일반상업지역
ValueCountFrequency (%)
일반상업지역 1
100.0%
2024-05-10T22:57:40.383598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF324110200200000120020513<NA>1영업/정상13영업중<NA><NA><NA><NA>2263-2761<NA>100400서울특별시 중구 쌍림동 ***-*번지 한림빌딩**층서울특별시 중구 동호로 *** (쌍림동,한림빌딩**층)<NA>(주)어뮤즈월드피아2007-07-19 14:25:07I2018-08-31 23:59:59.0<NA>200182.534631451347.193948음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF324110200200000220020515<NA>1영업/정상13영업중<NA><NA><NA><NA>2268-3791<NA><NA>서울특별시 중구 광희동*가 ***번지서울특별시 중구 퇴계로 *** (광희동*가)4560(주)매스노벨티2014-01-02 17:20:00I2018-08-31 23:59:59.0<NA>200437.000174451335.718988음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF324110200200000320020702<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100195서울특별시 중구 을지로*가 **-*번지 미디올빌딩 *층서울특별시 중구 을지로 *** (을지로*가,미디올빌딩 *층)<NA>(주)알앤멜로디2006-03-09 11:51:02I2018-08-31 23:59:59.0<NA>200174.995849451675.501826음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF324110200400000120040202<NA>1영업/정상13영업중<NA><NA><NA><NA>2231-7248<NA>100761서울특별시 중구 신당동 ***-***번지 지하서울특별시 중구 다산로**길 ** (신당동,지하)<NA>라운드2006-03-10 11:00:04I2018-08-31 23:59:59.0<NA>201101.941207450565.862783음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF324110200500000120050323<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100250서울특별시 중구 예장동 *-**번지서울특별시 중구 소파로 *** (예장동)<NA>(주)타이슨펜 동랑인터내셔날2006-03-10 10:48:16I2018-08-31 23:59:59.0<NA>198901.065845450743.174702음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF324110200700000120070215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100250서울특별시 중구 예장동 *-*번지 두림빌딩 *층서울특별시 중구 퇴계로**나길 ** (예장동,두림빌딩 *층)<NA>NESEN2007-02-15 17:40:44I2018-08-31 23:59:59.0<NA>198655.317412450674.450435음반.음악영상물배급업유통관련업0<NA>음반 음악영상물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF324110201200000120120607<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7801-3636<NA><NA>서울특별시 중구 서소문동 ***-**번지 프라임시청센터 ****호서울특별시 중구 세종대로*길 ** (서소문동)4513(주)갤럭시파이오니어2012-06-07 13:53:16I2018-08-31 23:59:59.0<NA>197566.862311451100.772884음반.음악영상물배급업유통관련업0<NA>음반음악영상물5.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF324110201200000320120711<NA>3폐업3폐업20140204<NA><NA><NA>730-0088<NA><NA>서울특별시 중구 충무로*가 **-**번지 케이티중앙지사 ***호서울특별시 중구 명동*길 ** (충무로*가)100011(주)디아츠앤코2014-02-05 14:36:32I2018-08-31 23:59:59.0<NA>198403.083197451049.012426음반.음악영상물배급업유통관련업0<NA>음반음악영상물1.6500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF324110201200000420101108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 순화동 *** AIA Tower(에이아이에이타워)서울특별시 중구 통일로*길 **, AIA Tower(에이아이에이타워) *층 (순화동)4511한국닌텐도(주)2021-06-21 09:31:52U2021-06-23 02:40:00.0<NA>197408.038214450940.510966음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF324110201200000520120906<NA>3폐업3폐업20180530<NA><NA><NA><NA><NA><NA>서울특별시 중구 회현동*가 ***번지 지하*층서울특별시 중구 퇴계로*길 지하 **, 지하*층 (회현동*가)100874황제노래영상제작실2018-05-30 12:28:03I2018-08-31 23:59:59.0<NA>198149.837724450736.472535음반.음악영상물배급업유통관련업0<NA>음반음악영상물0.000근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
113010000CDFF324110201500000220151016<NA>3폐업3폐업20200921<NA><NA><NA>02-573-7474<NA><NA>서울특별시 중구 충무로*가 **-*서울특별시 중구 명동*길 **-* (충무로*가)4536사보이이앤엠(주)2020-09-21 10:49:00U2020-09-23 02:40:00.0<NA>198563.350432451062.298493음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
123010000CDFF324110201700000120090423<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2106-0912<NA><NA>서울특별시 중구 남대문로*가 ***서울특별시 중구 소월로*길 ** (남대문로*가, 남산트라팰리스)4637에스케이커뮤니케이션즈(주)2022-01-25 09:11:53U2022-01-27 02:40:00.0<NA>197791.105095450173.966697음반.음악영상물배급업유통관련업0주택가주변<NA>0.000근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>일반상업지역
133010000CDFF324110201800000120180307<NA>3폐업3폐업20210226<NA><NA><NA>02-2138-2874<NA><NA>서울특별시 중구 다동 ** 한국관광공사 ****호서울특별시 중구 청계천로 **, 한국관광공사 ****호 (다동)4521(주)루나르트2021-02-26 18:48:44U2021-02-28 02:40:00.0<NA>198306.905839451808.098342음반.음악영상물배급업유통관련업0<NA>음원 배급5.6700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
143010000CDFF324110201800000220180426<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ***번지 센터플레이스(Center Place) **층서울특별시 중구 남대문로*길 **, 센터플레이스(Center Place) **층 (다동)4522(주)사운드리퍼블리카(Sound Republ ica,lnc.)2020-02-13 16:29:28U2020-02-15 02:40:00.0<NA>198193.534402451650.955791음반.음악영상물배급업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
153010000CDFF324110201800000320180508<NA>3폐업3폐업20190326<NA><NA><NA><NA><NA><NA>서울특별시 중구 저동*가 **-*번지 수정빌딩서울특별시 중구 수표로 **, 수정빌딩 ***호 (저동*가)4551소공원2019-03-26 17:42:55U2019-03-28 02:40:00.0<NA>199025.825276451419.17029음반.음악영상물배급업유통관련업0<NA>뮤직비디오20.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
163010000CDFF324110202100000120211020<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3455-4398<NA><NA>서울특별시 중구 을지로*가 *** 신한L Tower서울특별시 중구 삼일대로 ***, 신한L Tower (을지로*가)4542신한라이프생명보험 주식회사2021-10-20 16:22:29I2021-10-22 00:22:46.0<NA>198877.134151451578.377237음반.음악영상물배급업유통관련업0<NA>음원 배급0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
173010000CDFF324110202200000120220519<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8801-0447<NA><NA>서울특별시 중구 남대문로*가 *** 롯데영플라자서울특별시 중구 남대문로 **, 롯데영플라자 *층 (남대문로*가)4532커넥티드 플래그쉽2022-05-19 16:33:40I2021-12-04 22:01:00.0<NA>198315.532747451248.1416<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><NA><NA><NA><NA>
183010000CDFF32411020230000012023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-*** 청솔빌라 ***호서울특별시 중구 동호로**자길 **, ***호 (신당동, 청솔빌라)4602스윙바이2023-09-25 18:11:48I2022-12-08 22:07:00.0<NA>200405.867396449853.815714<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><NA><NA><NA><NA>
193010000CDFF32411020240000012024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동*가 **-** ***호서울특별시 중구 을지로**길 **, *층 ***호 (인현동*가)4549나렌쉬프2024-01-19 15:45:07I2023-11-30 22:01:00.0<NA>199358.790432451400.776084<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><NA><NA><NA><NA>
203010000CDFF32411020240000022024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 흥인동 *** 을해빌딩서울특별시 중구 다산로 ***, 을해빌딩 지하 *층 (흥인동)4569플루토시스템2024-02-16 18:32:31I2023-12-01 23:08:00.0<NA>201334.615888451564.650488<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><NA><NA><NA><NA>