Overview

Dataset statistics

Number of variables56
Number of observations206
Missing cells5978
Missing cells (%)51.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.7 KiB
Average record size in memory490.6 B

Variable types

Categorical16
Text7
DateTime3
Unsupported27
Numeric3

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17640/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (52.7%)Imbalance
영업상태명 is highly imbalanced (52.7%)Imbalance
상세영업상태코드 is highly imbalanced (52.7%)Imbalance
상세영업상태명 is highly imbalanced (52.7%)Imbalance
통로너비 is highly imbalanced (74.1%)Imbalance
조명시설조도 is highly imbalanced (74.1%)Imbalance
노래방실수 is highly imbalanced (74.1%)Imbalance
청소년실수 is highly imbalanced (74.1%)Imbalance
총게임기수 is highly imbalanced (74.1%)Imbalance
인허가취소일자 has 206 (100.0%) missing valuesMissing
폐업일자 has 166 (80.6%) missing valuesMissing
휴업시작일자 has 206 (100.0%) missing valuesMissing
휴업종료일자 has 206 (100.0%) missing valuesMissing
재개업일자 has 206 (100.0%) missing valuesMissing
전화번호 has 130 (63.1%) missing valuesMissing
소재지면적 has 206 (100.0%) missing valuesMissing
소재지우편번호 has 206 (100.0%) missing valuesMissing
도로명주소 has 5 (2.4%) missing valuesMissing
도로명우편번호 has 29 (14.1%) missing valuesMissing
업태구분명 has 206 (100.0%) missing valuesMissing
좌표정보(X) has 6 (2.9%) missing valuesMissing
좌표정보(Y) has 6 (2.9%) missing valuesMissing
문화사업자구분명 has 206 (100.0%) missing valuesMissing
주변환경명 has 206 (100.0%) missing valuesMissing
제작취급품목내용 has 206 (100.0%) missing valuesMissing
건물용도명 has 206 (100.0%) missing valuesMissing
비상계단여부 has 206 (100.0%) missing valuesMissing
비상구여부 has 206 (100.0%) missing valuesMissing
자동환기여부 has 206 (100.0%) missing valuesMissing
청소년실여부 has 206 (100.0%) missing valuesMissing
특수조명여부 has 206 (100.0%) missing valuesMissing
방음시설여부 has 206 (100.0%) missing valuesMissing
비디오재생기명 has 206 (100.0%) missing valuesMissing
조명시설유무 has 206 (100.0%) missing valuesMissing
음향시설여부 has 206 (100.0%) missing valuesMissing
편의시설여부 has 206 (100.0%) missing valuesMissing
소방시설여부 has 206 (100.0%) missing valuesMissing
기존게임업외업종명 has 206 (100.0%) missing valuesMissing
제공게임물명 has 206 (100.0%) missing valuesMissing
공연장형태구분명 has 206 (100.0%) missing valuesMissing
품목명 has 206 (100.0%) missing valuesMissing
최초등록시점 has 74 (35.9%) missing valuesMissing
지역구분명 has 206 (100.0%) missing valuesMissing
관리번호 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
품목명 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 started2024-05-11 07:02:41.316914
Analysis finished2024-05-11 07:02:42.200954
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3130000
206 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 206
100.0%

Length

2024-05-11T16:02:42.270814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:42.393151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 206
100.0%

관리번호
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T16:02:42.610553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4120
Distinct characters13
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

Unique206 ?
Unique (%)100.0%

Sample

1st rowCDFF5211031999000001
2nd rowCDFF5211032000000001
3rd rowCDFF5211032000000002
4th rowCDFF5211032000000003
5th rowCDFF5211032001000001
ValueCountFrequency (%)
cdff5211031999000001 1
 
0.5%
cdff5211032020000006 1
 
0.5%
cdff5211032020000008 1
 
0.5%
cdff5211032019000015 1
 
0.5%
cdff5211032019000016 1
 
0.5%
cdff5211032019000018 1
 
0.5%
cdff5211032019000019 1
 
0.5%
cdff5211032019000020 1
 
0.5%
cdff5211032020000001 1
 
0.5%
cdff5211032020000002 1
 
0.5%
Other values (196) 196
95.1%
2024-05-11T16:02:42.993345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1412
34.3%
1 663
16.1%
2 538
 
13.1%
F 412
 
10.0%
3 252
 
6.1%
5 240
 
5.8%
C 206
 
5.0%
D 206
 
5.0%
4 48
 
1.2%
9 38
 
0.9%
Other values (3) 105
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3296
80.0%
Uppercase Letter 824
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1412
42.8%
1 663
20.1%
2 538
 
16.3%
3 252
 
7.6%
5 240
 
7.3%
4 48
 
1.5%
9 38
 
1.2%
7 38
 
1.2%
8 37
 
1.1%
6 30
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 412
50.0%
C 206
25.0%
D 206
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3296
80.0%
Latin 824
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1412
42.8%
1 663
20.1%
2 538
 
16.3%
3 252
 
7.6%
5 240
 
7.3%
4 48
 
1.5%
9 38
 
1.2%
7 38
 
1.2%
8 37
 
1.1%
6 30
 
0.9%
Latin
ValueCountFrequency (%)
F 412
50.0%
C 206
25.0%
D 206
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1412
34.3%
1 663
16.1%
2 538
 
13.1%
F 412
 
10.0%
3 252
 
6.1%
5 240
 
5.8%
C 206
 
5.0%
D 206
 
5.0%
4 48
 
1.2%
9 38
 
0.9%
Other values (3) 105
 
2.5%

인허가일자
Date

Distinct198
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1999-12-17 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T16:02:43.145878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:43.608554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
165 
3
22 
5
18 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 165
80.1%
3 22
 
10.7%
5 18
 
8.7%
4 1
 
0.5%

Length

2024-05-11T16:02:43.785519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:43.913746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 165
80.1%
3 22
 
10.7%
5 18
 
8.7%
4 1
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
165 
폐업
22 
제외/삭제/전출
18 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.9854369
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 165
80.1%
폐업 22
 
10.7%
제외/삭제/전출 18
 
8.7%
취소/말소/만료/정지/중지 1
 
0.5%

Length

2024-05-11T16:02:44.049109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:44.168077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 165
80.1%
폐업 22
 
10.7%
제외/삭제/전출 18
 
8.7%
취소/말소/만료/정지/중지 1
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
165 
3
22 
15
18 
35
 
1

Length

Max length2
Median length2
Mean length1.8932039
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 165
80.1%
3 22
 
10.7%
15 18
 
8.7%
35 1
 
0.5%

Length

2024-05-11T16:02:44.306717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:44.440255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 165
80.1%
3 22
 
10.7%
15 18
 
8.7%
35 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
165 
폐업
22 
전출
18 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8106796
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 165
80.1%
폐업 22
 
10.7%
전출 18
 
8.7%
직권말소 1
 
0.5%

Length

2024-05-11T16:02:44.587914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:44.743632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 165
80.1%
폐업 22
 
10.7%
전출 18
 
8.7%
직권말소 1
 
0.5%

폐업일자
Text

MISSING 

Distinct38
Distinct (%)95.0%
Missing166
Missing (%)80.6%
Memory size1.7 KiB
2024-05-11T16:02:44.993486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.6
Min length8

Characters and Unicode

Total characters344
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

Unique36 ?
Unique (%)90.0%

Sample

1st row20110119
2nd row20201016
3rd row2023-05-31
4th row2023-03-20
5th row20140808
ValueCountFrequency (%)
20220401 2
 
5.0%
2023-03-08 2
 
5.0%
20210427 1
 
2.5%
20230119 1
 
2.5%
2024-03-28 1
 
2.5%
20190219 1
 
2.5%
20201229 1
 
2.5%
20180912 1
 
2.5%
20220624 1
 
2.5%
20201127 1
 
2.5%
Other values (28) 28
70.0%
2024-05-11T16:02:45.441077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 96
27.9%
0 85
24.7%
1 57
16.6%
- 24
 
7.0%
3 23
 
6.7%
9 15
 
4.4%
4 13
 
3.8%
7 10
 
2.9%
6 9
 
2.6%
8 8
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
93.0%
Dash Punctuation 24
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 96
30.0%
0 85
26.6%
1 57
17.8%
3 23
 
7.2%
9 15
 
4.7%
4 13
 
4.1%
7 10
 
3.1%
6 9
 
2.8%
8 8
 
2.5%
5 4
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 344
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 96
27.9%
0 85
24.7%
1 57
16.6%
- 24
 
7.0%
3 23
 
6.7%
9 15
 
4.4%
4 13
 
3.8%
7 10
 
2.9%
6 9
 
2.6%
8 8
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 96
27.9%
0 85
24.7%
1 57
16.6%
- 24
 
7.0%
3 23
 
6.7%
9 15
 
4.4%
4 13
 
3.8%
7 10
 
2.9%
6 9
 
2.6%
8 8
 
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct74
Distinct (%)97.4%
Missing130
Missing (%)63.1%
Memory size1.7 KiB
2024-05-11T16:02:45.794430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.394737
Min length8

Characters and Unicode

Total characters790
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)96.1%

Sample

1st row701-6596
2nd row707-3272
3rd row338-7853
4th row3143-3551
5th row548-2952
ValueCountFrequency (%)
02-338-1007 3
 
3.9%
6938-1200 1
 
1.3%
02-2038-0098 1
 
1.3%
070-8627-5456 1
 
1.3%
070-7791-1629 1
 
1.3%
02-3141-9027 1
 
1.3%
02-703-0058 1
 
1.3%
02-3152-6524 1
 
1.3%
02-2105-1100 1
 
1.3%
02-2160-5310 1
 
1.3%
Other values (64) 64
84.2%
2024-05-11T16:02:46.199310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 137
17.3%
- 121
15.3%
3 107
13.5%
2 96
12.2%
7 69
8.7%
1 59
7.5%
6 50
 
6.3%
5 42
 
5.3%
8 40
 
5.1%
4 37
 
4.7%
Other values (2) 32
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 668
84.6%
Dash Punctuation 121
 
15.3%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 137
20.5%
3 107
16.0%
2 96
14.4%
7 69
10.3%
1 59
8.8%
6 50
 
7.5%
5 42
 
6.3%
8 40
 
6.0%
4 37
 
5.5%
9 31
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 137
17.3%
- 121
15.3%
3 107
13.5%
2 96
12.2%
7 69
8.7%
1 59
7.5%
6 50
 
6.3%
5 42
 
5.3%
8 40
 
5.1%
4 37
 
4.7%
Other values (2) 32
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 137
17.3%
- 121
15.3%
3 107
13.5%
2 96
12.2%
7 69
8.7%
1 59
7.5%
6 50
 
6.3%
5 42
 
5.3%
8 40
 
5.1%
4 37
 
4.7%
Other values (2) 32
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

지번주소
Text

Distinct149
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T16:02:46.422964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length25.315534
Min length17

Characters and Unicode

Total characters5215
Distinct characters185
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)57.8%

Sample

1st row서울시 마포구 공덕*동 **-** 서울한약협회*층
2nd row서울시 마포구 공덕*동 ***-** 제일빌딩***호
3rd row서울특별시 마포구 공덕동 *-**번지 ***호
4th row서울특별시 마포구 공덕동 **-**번지
5th row서울특별시 마포구 공덕동 **-**번지 *층***호
ValueCountFrequency (%)
마포구 206
20.8%
서울특별시 204
20.6%
102
10.3%
번지 100
10.1%
상암동 50
 
5.1%
서교동 46
 
4.7%
층 26
 
2.6%
성산동 18
 
1.8%
호 18
 
1.8%
동교동 16
 
1.6%
Other values (109) 203
20.5%
2024-05-11T16:02:46.801097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 977
18.7%
908
17.4%
서 256
 
4.9%
동 230
 
4.4%
마 214
 
4.1%
포 214
 
4.1%
시 212
 
4.1%
구 209
 
4.0%
울 208
 
4.0%
특 204
 
3.9%
Other values (175) 1583
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3080
59.1%
Other Punctuation 981
 
18.8%
Space Separator 908
 
17.4%
Dash Punctuation 142
 
2.7%
Uppercase Letter 79
 
1.5%
Decimal Number 15
 
0.3%
Lowercase Letter 6
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 256
 
8.3%
동 230
 
7.5%
마 214
 
6.9%
포 214
 
6.9%
시 212
 
6.9%
구 209
 
6.8%
울 208
 
6.8%
특 204
 
6.6%
별 204
 
6.6%
지 119
 
3.9%
Other values (148) 1010
32.8%
Uppercase Letter
ValueCountFrequency (%)
C 23
29.1%
D 20
25.3%
M 19
24.1%
S 7
 
8.9%
K 4
 
5.1%
B 3
 
3.8%
G 1
 
1.3%
L 1
 
1.3%
A 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
8 3
20.0%
1 2
13.3%
7 2
13.3%
3 2
13.3%
4 2
13.3%
6 2
13.3%
2 1
 
6.7%
9 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 977
99.6%
, 3
 
0.3%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
y 2
33.3%
i 2
33.3%
t 2
33.3%
Space Separator
ValueCountFrequency (%)
908
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3080
59.1%
Common 2050
39.3%
Latin 85
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 256
 
8.3%
동 230
 
7.5%
마 214
 
6.9%
포 214
 
6.9%
시 212
 
6.9%
구 209
 
6.8%
울 208
 
6.8%
특 204
 
6.6%
별 204
 
6.6%
지 119
 
3.9%
Other values (148) 1010
32.8%
Common
ValueCountFrequency (%)
* 977
47.7%
908
44.3%
- 142
 
6.9%
8 3
 
0.1%
, 3
 
0.1%
1 2
 
0.1%
7 2
 
0.1%
3 2
 
0.1%
4 2
 
0.1%
6 2
 
0.1%
Other values (5) 7
 
0.3%
Latin
ValueCountFrequency (%)
C 23
27.1%
D 20
23.5%
M 19
22.4%
S 7
 
8.2%
K 4
 
4.7%
B 3
 
3.5%
y 2
 
2.4%
i 2
 
2.4%
t 2
 
2.4%
G 1
 
1.2%
Other values (2) 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3080
59.1%
ASCII 2135
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 977
45.8%
908
42.5%
- 142
 
6.7%
C 23
 
1.1%
D 20
 
0.9%
M 19
 
0.9%
S 7
 
0.3%
K 4
 
0.2%
8 3
 
0.1%
B 3
 
0.1%
Other values (17) 29
 
1.4%
Hangul
ValueCountFrequency (%)
서 256
 
8.3%
동 230
 
7.5%
마 214
 
6.9%
포 214
 
6.9%
시 212
 
6.9%
구 209
 
6.8%
울 208
 
6.8%
특 204
 
6.6%
별 204
 
6.6%
지 119
 
3.9%
Other values (148) 1010
32.8%

도로명주소
Text

MISSING 

Distinct181
Distinct (%)90.0%
Missing5
Missing (%)2.4%
Memory size1.7 KiB
2024-05-11T16:02:47.082415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length35.502488
Min length23

Characters and Unicode

Total characters7136
Distinct characters219
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)81.6%

Sample

1st row서울특별시 마포구 만리재로**길 *-* (공덕동,***호)
2nd row서울특별시 마포구 만리재옛길 ** (공덕동)
3rd row서울특별시 마포구 만리재옛길 ** (공덕동, *층***호)
4th row서울특별시 마포구 마포대로 ** (도화동,마포한화오벨리스크 제오 **층 ****호)
5th row서울특별시 마포구 와우산로*길 ** (상수동,**/*)
ValueCountFrequency (%)
서울특별시 201
14.7%
마포구 201
14.7%
200
14.7%
층 109
 
8.0%
호 88
 
6.4%
상암동 48
 
3.5%
서교동 39
 
2.9%
월드컵북로 26
 
1.9%
성산동 17
 
1.2%
동교동 16
 
1.2%
Other values (194) 420
30.8%
2024-05-11T16:02:47.542549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1187
 
16.6%
* 1150
 
16.1%
서 253
 
3.5%
동 252
 
3.5%
, 240
 
3.4%
마 227
 
3.2%
포 223
 
3.1%
시 208
 
2.9%
울 208
 
2.9%
) 205
 
2.9%
Other values (209) 2983
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3995
56.0%
Other Punctuation 1391
 
19.5%
Space Separator 1187
 
16.6%
Close Punctuation 205
 
2.9%
Open Punctuation 205
 
2.9%
Uppercase Letter 80
 
1.1%
Dash Punctuation 44
 
0.6%
Decimal Number 25
 
0.4%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 253
 
6.3%
동 252
 
6.3%
마 227
 
5.7%
포 223
 
5.6%
시 208
 
5.2%
울 208
 
5.2%
구 204
 
5.1%
별 201
 
5.0%
특 201
 
5.0%
로 196
 
4.9%
Other values (177) 1822
45.6%
Uppercase Letter
ValueCountFrequency (%)
C 20
25.0%
D 18
22.5%
M 17
21.2%
S 8
 
10.0%
B 6
 
7.5%
K 4
 
5.0%
A 2
 
2.5%
Y 1
 
1.2%
T 1
 
1.2%
N 1
 
1.2%
Other values (2) 2
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 11
44.0%
0 3
 
12.0%
3 3
 
12.0%
8 2
 
8.0%
7 2
 
8.0%
4 1
 
4.0%
9 1
 
4.0%
6 1
 
4.0%
2 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 1150
82.7%
, 240
 
17.3%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
t 1
33.3%
y 1
33.3%
Space Separator
ValueCountFrequency (%)
1187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 205
100.0%
Open Punctuation
ValueCountFrequency (%)
( 205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3995
56.0%
Common 3058
42.9%
Latin 83
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 253
 
6.3%
동 252
 
6.3%
마 227
 
5.7%
포 223
 
5.6%
시 208
 
5.2%
울 208
 
5.2%
구 204
 
5.1%
별 201
 
5.0%
특 201
 
5.0%
로 196
 
4.9%
Other values (177) 1822
45.6%
Common
ValueCountFrequency (%)
1187
38.8%
* 1150
37.6%
, 240
 
7.8%
) 205
 
6.7%
( 205
 
6.7%
- 44
 
1.4%
1 11
 
0.4%
0 3
 
0.1%
3 3
 
0.1%
8 2
 
0.1%
Other values (7) 8
 
0.3%
Latin
ValueCountFrequency (%)
C 20
24.1%
D 18
21.7%
M 17
20.5%
S 8
 
9.6%
B 6
 
7.2%
K 4
 
4.8%
A 2
 
2.4%
i 1
 
1.2%
t 1
 
1.2%
y 1
 
1.2%
Other values (5) 5
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3995
56.0%
ASCII 3141
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1187
37.8%
* 1150
36.6%
, 240
 
7.6%
) 205
 
6.5%
( 205
 
6.5%
- 44
 
1.4%
C 20
 
0.6%
D 18
 
0.6%
M 17
 
0.5%
1 11
 
0.4%
Other values (22) 44
 
1.4%
Hangul
ValueCountFrequency (%)
서 253
 
6.3%
동 252
 
6.3%
마 227
 
5.7%
포 223
 
5.6%
시 208
 
5.2%
울 208
 
5.2%
구 204
 
5.1%
별 201
 
5.0%
특 201
 
5.0%
로 196
 
4.9%
Other values (177) 1822
45.6%

도로명우편번호
Text

MISSING 

Distinct109
Distinct (%)61.6%
Missing29
Missing (%)14.1%
Memory size1.7 KiB
2024-05-11T16:02:47.926981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.180791
Min length5

Characters and Unicode

Total characters917
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

Unique78 ?
Unique (%)44.1%

Sample

1st row121912
2nd row121845
3rd row04185
4th row121904
5th row121842
ValueCountFrequency (%)
03908 8
 
4.5%
03925 7
 
4.0%
04029 7
 
4.0%
03920 5
 
2.8%
04146 4
 
2.3%
03909 4
 
2.3%
03995 4
 
2.3%
121270 4
 
2.3%
04037 3
 
1.7%
03923 3
 
1.7%
Other values (99) 128
72.3%
2024-05-11T16:02:48.472922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 257
28.0%
9 116
12.6%
4 108
11.8%
1 108
11.8%
3 103
11.2%
2 83
 
9.1%
8 39
 
4.3%
6 39
 
4.3%
5 35
 
3.8%
7 27
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 915
99.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 257
28.1%
9 116
12.7%
4 108
11.8%
1 108
11.8%
3 103
11.3%
2 83
 
9.1%
8 39
 
4.3%
6 39
 
4.3%
5 35
 
3.8%
7 27
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 917
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 257
28.0%
9 116
12.6%
4 108
11.8%
1 108
11.8%
3 103
11.2%
2 83
 
9.1%
8 39
 
4.3%
6 39
 
4.3%
5 35
 
3.8%
7 27
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 917
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 257
28.0%
9 116
12.6%
4 108
11.8%
1 108
11.8%
3 103
11.2%
2 83
 
9.1%
8 39
 
4.3%
6 39
 
4.3%
5 35
 
3.8%
7 27
 
2.9%

사업장명
Text

Distinct201
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T16:02:48.746953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.8300971
Min length2

Characters and Unicode

Total characters2025
Distinct characters298
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)95.1%

Sample

1st row씨네캠프엔터테인먼트
2nd row㈜거성월드
3rd row미디어소소
4th row㈜미디어쿨코리아
5th row㈜이모션픽처스
ValueCountFrequency (%)
주식회사 76
 
24.7%
오소리필름 2
 
0.6%
곡사 2
 
0.6%
픽쳐스 2
 
0.6%
플랫폼c 2
 
0.6%
미디어 2
 
0.6%
원스크린 2
 
0.6%
주)씨네포트 2
 
0.6%
조선학교와 1
 
0.3%
주)재담미디어 1
 
0.3%
Other values (216) 216
70.1%
2024-05-11T16:02:49.140645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 142
 
7.0%
102
 
5.0%
사 96
 
4.7%
스 85
 
4.2%
회 82
 
4.0%
식 78
 
3.9%
) 74
 
3.7%
( 74
 
3.7%
이 59
 
2.9%
트 47
 
2.3%
Other values (288) 1186
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1719
84.9%
Space Separator 102
 
5.0%
Close Punctuation 74
 
3.7%
Open Punctuation 74
 
3.7%
Uppercase Letter 22
 
1.1%
Other Symbol 15
 
0.7%
Lowercase Letter 12
 
0.6%
Decimal Number 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 142
 
8.3%
사 96
 
5.6%
스 85
 
4.9%
회 82
 
4.8%
식 78
 
4.5%
이 59
 
3.4%
트 47
 
2.7%
디 46
 
2.7%
인 31
 
1.8%
엔 30
 
1.7%
Other values (256) 1023
59.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
27.3%
A 2
 
9.1%
R 2
 
9.1%
D 2
 
9.1%
M 2
 
9.1%
O 2
 
9.1%
G 1
 
4.5%
I 1
 
4.5%
B 1
 
4.5%
S 1
 
4.5%
Other values (2) 2
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
e 2
16.7%
n 1
8.3%
i 1
8.3%
s 1
8.3%
m 1
8.3%
c 1
8.3%
r 1
8.3%
t 1
8.3%
a 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
6 1
14.3%
4 1
14.3%
5 1
14.3%
0 1
14.3%
1 1
14.3%
Space Separator
ValueCountFrequency (%)
102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1734
85.6%
Common 257
 
12.7%
Latin 34
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 142
 
8.2%
사 96
 
5.5%
스 85
 
4.9%
회 82
 
4.7%
식 78
 
4.5%
이 59
 
3.4%
트 47
 
2.7%
디 46
 
2.7%
인 31
 
1.8%
엔 30
 
1.7%
Other values (257) 1038
59.9%
Latin
ValueCountFrequency (%)
C 6
17.6%
A 2
 
5.9%
R 2
 
5.9%
D 2
 
5.9%
M 2
 
5.9%
o 2
 
5.9%
O 2
 
5.9%
e 2
 
5.9%
n 1
 
2.9%
i 1
 
2.9%
Other values (12) 12
35.3%
Common
ValueCountFrequency (%)
102
39.7%
) 74
28.8%
( 74
28.8%
2 2
 
0.8%
6 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
0 1
 
0.4%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1719
84.9%
ASCII 291
 
14.4%
None 15
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 142
 
8.3%
사 96
 
5.6%
스 85
 
4.9%
회 82
 
4.8%
식 78
 
4.5%
이 59
 
3.4%
트 47
 
2.7%
디 46
 
2.7%
인 31
 
1.8%
엔 30
 
1.7%
Other values (256) 1023
59.5%
ASCII
ValueCountFrequency (%)
102
35.1%
) 74
25.4%
( 74
25.4%
C 6
 
2.1%
A 2
 
0.7%
2 2
 
0.7%
R 2
 
0.7%
D 2
 
0.7%
M 2
 
0.7%
o 2
 
0.7%
Other values (21) 23
 
7.9%
None
ValueCountFrequency (%)
㈜ 15
100.0%

최종수정일자
Date

Distinct193
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2010-05-20 18:02:47
Maximum2024-05-01 11:26:19
2024-05-11T16:02:49.312458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:49.474984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
139 
U
67 

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 139
67.5%
U 67
32.5%

Length

2024-05-11T16:02:49.624039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:49.751581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 139
67.5%
u 67
32.5%

데이터갱신일자
Date

Distinct114
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T16:02:49.900896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:50.119323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)76.0%
Missing6
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean192466.29
Minimum189409.4
Maximum196509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T16:02:50.307600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189409.4
5-th percentile190017.45
Q1191255.11
median192398.28
Q3193282.13
95-th percentile195856.11
Maximum196509
Range7099.6083
Interquartile range (IQR)2027.024

Descriptive statistics

Standard deviation1743.566
Coefficient of variation (CV)0.0090590724
Kurtosis-0.50174759
Mean192466.29
Median Absolute Deviation (MAD)979.51402
Skewness0.35378598
Sum38493258
Variance3040022.5
MonotonicityNot monotonic
2024-05-11T16:02:50.474162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190335.496775957 7
 
3.4%
189855.433985731 6
 
2.9%
190268.350708409 4
 
1.9%
190125.564768858 4
 
1.9%
195564.375757848 4
 
1.9%
192118.944138131 4
 
1.9%
194655.481709453 3
 
1.5%
190293.979873354 3
 
1.5%
191263.451931121 3
 
1.5%
195111.088138936 3
 
1.5%
Other values (142) 159
77.2%
(Missing) 6
 
2.9%
ValueCountFrequency (%)
189409.395005978 1
 
0.5%
189624.675468841 1
 
0.5%
189779.165991291 1
 
0.5%
189855.433985731 6
2.9%
189954.316212248 1
 
0.5%
190020.777440717 1
 
0.5%
190075.380363452 2
 
1.0%
190125.564768858 4
1.9%
190144.143203955 1
 
0.5%
190144.892942247 2
 
1.0%
ValueCountFrequency (%)
196509.003264882 1
0.5%
196286.512049256 1
0.5%
196228.311483715 1
0.5%
196183.591468777 1
0.5%
196157.50029291 1
0.5%
196057.949965838 1
0.5%
196042.381344735 1
0.5%
196036.117639955 1
0.5%
195900.709427813 1
0.5%
195874.639172861 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)76.0%
Missing6
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean450806.44
Minimum448331.07
Maximum453872.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T16:02:50.642464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448331.07
5-th percentile449007.94
Q1449745.77
median450403.95
Q3452207.5
95-th percentile453345.95
Maximum453872.4
Range5541.3322
Interquartile range (IQR)2461.7281

Descriptive statistics

Standard deviation1436.653
Coefficient of variation (CV)0.003186851
Kurtosis-0.88510382
Mean450806.44
Median Absolute Deviation (MAD)820.02135
Skewness0.59083118
Sum90161288
Variance2063971.8
MonotonicityNot monotonic
2024-05-11T16:02:50.839870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452758.642764785 7
 
3.4%
453614.583448105 6
 
2.9%
452810.742674992 4
 
1.9%
453090.149821248 4
 
1.9%
449186.933273231 4
 
1.9%
450297.896932391 4
 
1.9%
448854.594112514 3
 
1.5%
452694.976414446 3
 
1.5%
452207.500653521 3
 
1.5%
448644.311298762 3
 
1.5%
Other values (142) 159
77.2%
(Missing) 6
 
2.9%
ValueCountFrequency (%)
448331.067134872 1
 
0.5%
448487.374314355 1
 
0.5%
448644.311298762 3
1.5%
448813.597891974 1
 
0.5%
448854.594112514 3
1.5%
448856.564818114 1
 
0.5%
449015.903404686 1
 
0.5%
449083.060282147 1
 
0.5%
449083.306922623 1
 
0.5%
449186.933273231 4
1.9%
ValueCountFrequency (%)
453872.3993323 1
 
0.5%
453614.583448105 6
2.9%
453459.514085072 1
 
0.5%
453360.240306636 1
 
0.5%
453345.947683972 2
 
1.0%
453302.04990022 2
 
1.0%
453263.335891345 1
 
0.5%
453150.178870554 1
 
0.5%
453141.676626027 1
 
0.5%
453112.077787463 1
 
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영화배급업
132 
<NA>
74 

Length

Max length5
Median length5
Mean length4.6407767
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 132
64.1%
<NA> 74
35.9%

Length

2024-05-11T16:02:51.007229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:51.128340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 132
64.1%
na 74
35.9%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

총층수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
177 
0
29 

Length

Max length4
Median length4
Mean length3.5776699
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 177
85.9%
0 29
 
14.1%

Length

2024-05-11T16:02:51.262090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:51.396834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
85.9%
0 29
 
14.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

시설면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
177 
0
29 

Length

Max length4
Median length4
Mean length3.5776699
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 177
85.9%
0 29
 
14.1%

Length

2024-05-11T16:02:51.535487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:51.685224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
85.9%
0 29
 
14.1%

지상층수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
177 
0
29 

Length

Max length4
Median length4
Mean length3.5776699
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 177
85.9%
0 29
 
14.1%

Length

2024-05-11T16:02:51.839907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:51.983212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
85.9%
0 29
 
14.1%

지하층수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
177 
0
29 

Length

Max length4
Median length4
Mean length3.5776699
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 177
85.9%
0 29
 
14.1%

Length

2024-05-11T16:02:52.134197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:52.301647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
85.9%
0 29
 
14.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
197 
0
 
9

Length

Max length4
Median length4
Mean length3.868932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
95.6%
0 9
 
4.4%

Length

2024-05-11T16:02:52.744586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:52.867660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
95.6%
0 9
 
4.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
197 
0
 
9

Length

Max length4
Median length4
Mean length3.868932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
95.6%
0 9
 
4.4%

Length

2024-05-11T16:02:52.984232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:53.090967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
95.6%
0 9
 
4.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
197 
0
 
9

Length

Max length4
Median length4
Mean length3.868932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
95.6%
0 9
 
4.4%

Length

2024-05-11T16:02:53.192460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:53.311520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
95.6%
0 9
 
4.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
197 
0
 
9

Length

Max length4
Median length4
Mean length3.868932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
95.6%
0 9
 
4.4%

Length

2024-05-11T16:02:53.455760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:53.581965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
95.6%
0 9
 
4.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
197 
0
 
9

Length

Max length4
Median length4
Mean length3.868932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
95.6%
0 9
 
4.4%

Length

2024-05-11T16:02:53.686254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:53.794882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
95.6%
0 9
 
4.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)97.0%
Missing74
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean20137919
Minimum19991217
Maximum20220112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T16:02:53.923403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991217
5-th percentile20051443
Q120107899
median20140763
Q320180407
95-th percentile20200223
Maximum20220112
Range228895
Interquartile range (IQR)72508

Descriptive statistics

Standard deviation49102.049
Coefficient of variation (CV)0.0024382882
Kurtosis0.52544036
Mean20137919
Median Absolute Deviation (MAD)39564
Skewness-0.8097766
Sum2.6582053 × 109
Variance2.4110113 × 109
MonotonicityNot monotonic
2024-05-11T16:02:54.082731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110829 2
 
1.0%
20140818 2
 
1.0%
20180327 2
 
1.0%
20170308 2
 
1.0%
20180405 1
 
0.5%
20171103 1
 
0.5%
20171123 1
 
0.5%
20170623 1
 
0.5%
20160531 1
 
0.5%
20180413 1
 
0.5%
Other values (118) 118
57.3%
(Missing) 74
35.9%
ValueCountFrequency (%)
19991217 1
0.5%
20000327 1
0.5%
20000803 1
0.5%
20001127 1
0.5%
20011221 1
0.5%
20030625 1
0.5%
20040609 1
0.5%
20060308 1
0.5%
20070404 1
0.5%
20070612 1
0.5%
ValueCountFrequency (%)
20220112 1
0.5%
20211229 1
0.5%
20210805 1
0.5%
20210113 1
0.5%
20210112 1
0.5%
20200608 1
0.5%
20200225 1
0.5%
20200221 1
0.5%
20200106 1
0.5%
20200102 1
0.5%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF521103199900000119991217<NA>1영업/정상13영업중<NA><NA><NA><NA>701-6596<NA><NA>서울시 마포구 공덕*동 **-** 서울한약협회*층<NA><NA>씨네캠프엔터테인먼트2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA><NA><NA>영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991217<NA>
13130000CDFF521103200000000120000327<NA>1영업/정상13영업중<NA><NA><NA><NA>707-3272<NA><NA>서울시 마포구 공덕*동 ***-** 제일빌딩***호<NA><NA>㈜거성월드2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA><NA><NA>영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000327<NA>
23130000CDFF521103200000000220000803<NA>1영업/정상13영업중<NA><NA><NA><NA>338-7853<NA><NA>서울특별시 마포구 공덕동 *-**번지 ***호서울특별시 마포구 만리재로**길 *-* (공덕동,***호)<NA>미디어소소2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA>196509.003265449756.918219영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000803<NA>
33130000CDFF521103200000000320001127<NA>1영업/정상13영업중<NA><NA><NA><NA>3143-3551<NA><NA>서울특별시 마포구 공덕동 **-**번지서울특별시 마포구 만리재옛길 ** (공덕동)<NA>㈜미디어쿨코리아2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA>196183.591469449633.294633영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20001127<NA>
43130000CDFF521103200100000120011221<NA>1영업/정상13영업중<NA><NA><NA><NA>548-2952<NA><NA>서울특별시 마포구 공덕동 **-**번지 *층***호서울특별시 마포구 만리재옛길 ** (공덕동, *층***호)<NA>㈜이모션픽처스2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA>196157.500293449599.223649영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20011221<NA>
53130000CDFF521103200400000120040609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 도화동 ***번지 마포한화오벨리스크 제오 **층 ****호서울특별시 마포구 마포대로 ** (도화동,마포한화오벨리스크 제오 **층 ****호)<NA>㈜토이엔터테인먼트2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA>195111.088139448644.311299영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040609<NA>
63130000CDFF521103200600000120060308<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA>719-2141<NA><NA>서울특별시 마포구 상수동 ***-*번지 **/*서울특별시 마포구 와우산로*길 ** (상수동,**/*)<NA>곡사2014-08-07 17:53:24I2018-08-31 23:59:59.0<NA>193005.710252449432.929397영화배급업<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>20060308<NA>
73130000CDFF521103200700000120070404<NA>1영업/정상13영업중<NA><NA><NA><NA>02-338-3787<NA><NA>서울특별시 마포구 상수동 ***-*번지 서강 *경빌딩 *층서울특별시 마포구 토정로 *** (상수동,서강 *경빌딩 *층)<NA>㈜펠릭스마운틴프로덕션2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA>193333.918934449192.125215영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070404<NA>
83130000CDFF521103200700000220070709<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3153-7683<NA><NA>서울특별시 마포구 상암동 ****번지 DMC첨단산업센터 ***호서울특별시 마포구 성암로 ***, ***호 (상암동, DMC첨단산업센터)121912㈜미디어루트디에스피2011-12-20 15:23:56I2018-08-31 23:59:59.0<NA>189855.433986453614.583448영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070709<NA>
93130000CDFF521103200700000520071105<NA>1영업/정상13영업중<NA><NA><NA><NA>02-338-1007<NA><NA>서울특별시 마포구 상암동 디엠씨비*-* 트루텍빌딩 *층<NA><NA>㈜엠엔에프씨2010-05-20 18:02:47I2018-08-31 23:59:59.0<NA><NA><NA>영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071105<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1963130000CDFF52110320240000022020-10-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** 케이지아이티센터서울특별시 마포구 월드컵북로 ***, 케이지아이티센터 ****호, ****호 (상암동)03925주식회사 원스크린2024-02-02 16:07:08I2023-12-02 00:04:00.0<NA>190125.564769453090.149821<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>
1973130000CDFF52110320240000032024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 ***-** 효원서울특별시 마포구 성미산로 **, 효원 *층 (성산동)03968코모이도이2024-02-13 14:02:34I2023-12-01 23:05:00.0<NA>192129.533836450745.024882<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>
1983130000CDFF52110320240000042022-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 ***-**서울특별시 마포구 월드컵북로*길 **, **층 (동교동)03995주식회사 레드아이스엔터테인먼트2024-02-22 14:34:38I2023-12-01 22:04:00.0<NA>193031.771142450456.462819<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>
1993130000CDFF52110320240000052024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 ***-**서울특별시 마포구 연남로*길 **-* (연남동)03988주식회사 넘버쓰리픽쳐스2024-02-27 09:00:37I2023-12-01 22:09:00.0<NA>192974.819725451016.556348<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>
2003130000CDFF52110320240000062013-10-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** DMC첨단산업센터서울특별시 마포구 성암로 ***, DMC첨단산업센터 *층 ***-*호 (상암동)03920영화사올 주식회사2024-02-27 14:23:38I2023-12-01 22:09:00.0<NA>189855.433986453614.583448<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>
2013130000CDFF52110320240000072024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 월드컵북로*길 **, *층 ***호 (서교동)04000주식회사 스튜디오하이파이브2024-02-28 11:43:00I2023-12-03 00:02:00.0<NA>192665.54142450553.232527<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>
2023130000CDFF52110320240000082024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 ***-*서울특별시 마포구 성미산로*길 **, ***호 (성산동)03969주식회사 스튜디오그레인풀2024-02-29 10:51:09I2023-12-03 00:02:00.0<NA>191895.958874450927.528693<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>
2033130000CDFF52110320240000092017-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** KBS미디어센터서울특별시 마포구 매봉산로 **, KBS미디어센터 **층 (상암동)03909(주)셀트리온엔터테인먼트2024-03-19 13:12:45I2023-12-02 22:01:00.0<NA>190293.979873452694.976414<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>
2043130000CDFF52110320240000102024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 창전동 *-*서울특별시 마포구 서강로*길 **, *층 (창전동)04061(사)한국영상미디어교육협회2024-04-15 11:48:36I2023-12-03 23:07:00.0<NA>193835.069792450245.936589<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>
2053130000CDFF52110320240000112024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 아현동 ***-* 고려아카데미텔서울특별시 마포구 마포대로 ***, 고려아카데미텔 **층 **호 (아현동)04206(사)한국독립영화협회2024-05-01 11:26:19I2023-12-05 00:03:00.0<NA>196057.949966449897.213071<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>