Overview

Dataset statistics

Number of variables56
Number of observations75
Missing cells2003
Missing cells (%)47.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.8 KiB
Average record size in memory488.8 B

Variable types

Categorical19
Text7
DateTime2
Unsupported22
Numeric6

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17294/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (53.7%)Imbalance
영업상태명 is highly imbalanced (53.7%)Imbalance
상세영업상태코드 is highly imbalanced (53.7%)Imbalance
상세영업상태명 is highly imbalanced (53.7%)Imbalance
데이터갱신구분 is highly imbalanced (51.0%)Imbalance
데이터갱신일자 is highly imbalanced (64.0%)Imbalance
문화체육업종명 is highly imbalanced (64.7%)Imbalance
총층수 is highly imbalanced (74.7%)Imbalance
주변환경명 is highly imbalanced (70.0%)Imbalance
지상층수 is highly imbalanced (74.7%)Imbalance
지하층수 is highly imbalanced (70.0%)Imbalance
건물용도명 is highly imbalanced (74.7%)Imbalance
통로너비 is highly imbalanced (70.0%)Imbalance
조명시설조도 is highly imbalanced (70.0%)Imbalance
노래방실수 is highly imbalanced (70.0%)Imbalance
청소년실수 is highly imbalanced (70.0%)Imbalance
총게임기수 is highly imbalanced (70.0%)Imbalance
인허가취소일자 has 75 (100.0%) missing valuesMissing
폐업일자 has 62 (82.7%) missing valuesMissing
휴업시작일자 has 75 (100.0%) missing valuesMissing
휴업종료일자 has 75 (100.0%) missing valuesMissing
재개업일자 has 75 (100.0%) missing valuesMissing
전화번호 has 11 (14.7%) missing valuesMissing
소재지면적 has 75 (100.0%) missing valuesMissing
소재지우편번호 has 28 (37.3%) missing valuesMissing
도로명주소 has 13 (17.3%) missing valuesMissing
도로명우편번호 has 56 (74.7%) missing valuesMissing
업태구분명 has 75 (100.0%) missing valuesMissing
좌표정보(X) has 3 (4.0%) missing valuesMissing
좌표정보(Y) has 3 (4.0%) missing valuesMissing
제작취급품목내용 has 48 (64.0%) missing valuesMissing
시설면적 has 58 (77.3%) missing valuesMissing
비상계단여부 has 75 (100.0%) missing valuesMissing
비상구여부 has 75 (100.0%) missing valuesMissing
자동환기여부 has 75 (100.0%) missing valuesMissing
청소년실여부 has 75 (100.0%) missing valuesMissing
특수조명여부 has 75 (100.0%) missing valuesMissing
방음시설여부 has 75 (100.0%) missing valuesMissing
비디오재생기명 has 75 (100.0%) missing valuesMissing
조명시설유무 has 75 (100.0%) missing valuesMissing
음향시설여부 has 75 (100.0%) missing valuesMissing
편의시설여부 has 75 (100.0%) missing valuesMissing
소방시설여부 has 75 (100.0%) missing valuesMissing
기존게임업외업종명 has 75 (100.0%) missing valuesMissing
제공게임물명 has 75 (100.0%) missing valuesMissing
공연장형태구분명 has 75 (100.0%) missing valuesMissing
품목명 has 75 (100.0%) missing valuesMissing
최초등록시점 has 75 (100.0%) missing valuesMissing
지역구분명 has 71 (94.7%) missing valuesMissing
관리번호 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 1 (1.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:15:11.479081
Analysis finished2024-05-11 06:15:12.465283
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
3020000
75 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 75
100.0%

Length

2024-05-11T15:15:12.589724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:12.789746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 75
100.0%

관리번호
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T15:15:13.034111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1500
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

Unique75 ?
Unique (%)100.0%

Sample

1st rowCDFF1241111999000002
2nd rowCDFF1241111999000003
3rd rowCDFF1241111999000004
4th rowCDFF1241111999000005
5th rowCDFF1241112000000001
ValueCountFrequency (%)
cdff1241111999000002 1
 
1.3%
cdff1241112003000008 1
 
1.3%
cdff1241112009000001 1
 
1.3%
cdff1241112008000001 1
 
1.3%
cdff1241112006000006 1
 
1.3%
cdff1241112006000005 1
 
1.3%
cdff1241112006000004 1
 
1.3%
cdff1241112006000003 1
 
1.3%
cdff1241112006000002 1
 
1.3%
cdff1241112005000006 1
 
1.3%
Other values (65) 65
86.7%
2024-05-11T15:15:13.662448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 507
33.8%
1 351
23.4%
2 183
 
12.2%
F 150
 
10.0%
4 85
 
5.7%
C 75
 
5.0%
D 75
 
5.0%
3 19
 
1.3%
9 17
 
1.1%
5 16
 
1.1%
Other values (3) 22
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1200
80.0%
Uppercase Letter 300
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 507
42.2%
1 351
29.2%
2 183
 
15.2%
4 85
 
7.1%
3 19
 
1.6%
9 17
 
1.4%
5 16
 
1.3%
6 13
 
1.1%
8 5
 
0.4%
7 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 150
50.0%
C 75
25.0%
D 75
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1200
80.0%
Latin 300
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 507
42.2%
1 351
29.2%
2 183
 
15.2%
4 85
 
7.1%
3 19
 
1.6%
9 17
 
1.4%
5 16
 
1.3%
6 13
 
1.1%
8 5
 
0.4%
7 4
 
0.3%
Latin
ValueCountFrequency (%)
F 150
50.0%
C 75
25.0%
D 75
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 507
33.8%
1 351
23.4%
2 183
 
12.2%
F 150
 
10.0%
4 85
 
5.7%
C 75
 
5.0%
D 75
 
5.0%
3 19
 
1.3%
9 17
 
1.1%
5 16
 
1.1%
Other values (3) 22
 
1.5%

인허가일자
Date

Distinct72
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum1999-06-25 00:00:00
Maximum2022-02-08 00:00:00
2024-05-11T15:15:13.927127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:14.207610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
1
62 
3
12 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 62
82.7%
3 12
 
16.0%
4 1
 
1.3%

Length

2024-05-11T15:15:14.484792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:15.076135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 62
82.7%
3 12
 
16.0%
4 1
 
1.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
영업/정상
62 
폐업
12 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.64
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 62
82.7%
폐업 12
 
16.0%
취소/말소/만료/정지/중지 1
 
1.3%

Length

2024-05-11T15:15:15.285803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:15.505110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 62
82.7%
폐업 12
 
16.0%
취소/말소/만료/정지/중지 1
 
1.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
13
62 
3
12 
35
 
1

Length

Max length2
Median length2
Mean length1.84
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 62
82.7%
3 12
 
16.0%
35 1
 
1.3%

Length

2024-05-11T15:15:15.748182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:15.954346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 62
82.7%
3 12
 
16.0%
35 1
 
1.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
영업중
62 
폐업
12 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8533333
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 62
82.7%
폐업 12
 
16.0%
직권말소 1
 
1.3%

Length

2024-05-11T15:15:16.184140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:16.412281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 62
82.7%
폐업 12
 
16.0%
직권말소 1
 
1.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing62
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean20125998
Minimum20070123
Maximum20220531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T15:15:16.598838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070123
5-th percentile20070245
Q120080730
median20120206
Q320160126
95-th percentile20214884
Maximum20220531
Range150408
Interquartile range (IQR)79396

Descriptive statistics

Standard deviation52188.137
Coefficient of variation (CV)0.0025930708
Kurtosis-0.71855718
Mean20125998
Median Absolute Deviation (MAD)39920
Skewness0.74013016
Sum2.6163797 × 108
Variance2.7236016 × 109
MonotonicityNot monotonic
2024-05-11T15:15:16.823447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20120206 1
 
1.3%
20090220 1
 
1.3%
20080228 1
 
1.3%
20160126 1
 
1.3%
20070327 1
 
1.3%
20211119 1
 
1.3%
20101208 1
 
1.3%
20070123 1
 
1.3%
20080730 1
 
1.3%
20121228 1
 
1.3%
Other values (3) 3
 
4.0%
(Missing) 62
82.7%
ValueCountFrequency (%)
20070123 1
1.3%
20070327 1
1.3%
20080228 1
1.3%
20080730 1
1.3%
20090220 1
1.3%
20101208 1
1.3%
20120206 1
1.3%
20121228 1
1.3%
20131223 1
1.3%
20160126 1
1.3%
ValueCountFrequency (%)
20220531 1
1.3%
20211119 1
1.3%
20180705 1
1.3%
20160126 1
1.3%
20131223 1
1.3%
20121228 1
1.3%
20120206 1
1.3%
20101208 1
1.3%
20090220 1
1.3%
20080730 1
1.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

전화번호
Text

MISSING 

Distinct63
Distinct (%)98.4%
Missing11
Missing (%)14.7%
Memory size732.0 B
2024-05-11T15:15:17.219121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.015625
Min length8

Characters and Unicode

Total characters577
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

Unique62 ?
Unique (%)96.9%

Sample

1st row703-8653
2nd row714-4405
3rd row793-3535
4th row719-6845
5th row718-6077
ValueCountFrequency (%)
02-798-7587 2
 
3.1%
794-6584 1
 
1.6%
703-8653 1
 
1.6%
794-4005 1
 
1.6%
796-2141 1
 
1.6%
774-1716 1
 
1.6%
794-6204 1
 
1.6%
3275-3747 1
 
1.6%
790-0361 1
 
1.6%
719-2511 1
 
1.6%
Other values (53) 53
82.8%
2024-05-11T15:15:18.002659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 82
14.2%
0 79
13.7%
- 79
13.7%
1 68
11.8%
2 55
9.5%
3 44
7.6%
5 41
7.1%
9 37
6.4%
4 37
6.4%
8 28
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 498
86.3%
Dash Punctuation 79
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 82
16.5%
0 79
15.9%
1 68
13.7%
2 55
11.0%
3 44
8.8%
5 41
8.2%
9 37
7.4%
4 37
7.4%
8 28
 
5.6%
6 27
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 577
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 82
14.2%
0 79
13.7%
- 79
13.7%
1 68
11.8%
2 55
9.5%
3 44
7.6%
5 41
7.1%
9 37
6.4%
4 37
6.4%
8 28
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 82
14.2%
0 79
13.7%
- 79
13.7%
1 68
11.8%
2 55
9.5%
3 44
7.6%
5 41
7.1%
9 37
6.4%
4 37
6.4%
8 28
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)63.8%
Missing28
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean140699.94
Minimum140012
Maximum140905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T15:15:18.329734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140012
5-th percentile140045.2
Q1140799
median140863
Q3140880
95-th percentile140898.6
Maximum140905
Range893
Interquartile range (IQR)81

Descriptive statistics

Standard deviation323.24216
Coefficient of variation (CV)0.0022973867
Kurtosis0.21391326
Mean140699.94
Median Absolute Deviation (MAD)19
Skewness-1.4575282
Sum6612897
Variance104485.5
MonotonicityNot monotonic
2024-05-11T15:15:18.620352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
140878 5
 
6.7%
140847 5
 
6.7%
140090 4
 
5.3%
140880 4
 
5.3%
140882 3
 
4.0%
140879 2
 
2.7%
140013 1
 
1.3%
140903 1
 
1.3%
140240 1
 
1.3%
140818 1
 
1.3%
Other values (20) 20
26.7%
(Missing) 28
37.3%
ValueCountFrequency (%)
140012 1
 
1.3%
140013 1
 
1.3%
140026 1
 
1.3%
140090 4
5.3%
140111 1
 
1.3%
140132 1
 
1.3%
140240 1
 
1.3%
140779 1
 
1.3%
140780 1
 
1.3%
140818 1
 
1.3%
ValueCountFrequency (%)
140905 1
 
1.3%
140903 1
 
1.3%
140901 1
 
1.3%
140893 1
 
1.3%
140887 1
 
1.3%
140883 1
 
1.3%
140882 3
4.0%
140880 4
5.3%
140879 2
 
2.7%
140878 5
6.7%

지번주소
Text

Distinct65
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T15:15:19.072787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length28.626667
Min length21

Characters and Unicode

Total characters2147
Distinct characters120
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)78.7%

Sample

1st row서울특별시 용산구 청파동*가 **-*번지 청파프라자 ***호
2nd row서울특별시 용산구 한강로*가 *-**번지 나진상가 **동
3rd row서울특별시 용산구 한강로*가 **-***번지
4th row서울특별시 용산구 신계동 **-**번지
5th row서울특별시 용산구 원효로*가 **-*번지 조양빌딩 *층
ValueCountFrequency (%)
서울특별시 75
19.1%
용산구 75
19.1%
번지 63
16.0%
한강로*가 32
8.1%
호 20
 
5.1%
원효로*가 13
 
3.3%
12
 
3.1%
층 12
 
3.1%
한남동 10
 
2.5%
동 5
 
1.3%
Other values (56) 76
19.3%
2024-05-11T15:15:19.898278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 427
19.9%
378
17.6%
산 84
 
3.9%
용 84
 
3.9%
서 78
 
3.6%
시 77
 
3.6%
울 75
 
3.5%
구 75
 
3.5%
별 75
 
3.5%
특 75
 
3.5%
Other values (110) 719
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1257
58.5%
Other Punctuation 430
 
20.0%
Space Separator 378
 
17.6%
Dash Punctuation 69
 
3.2%
Uppercase Letter 8
 
0.4%
Decimal Number 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 84
 
6.7%
용 84
 
6.7%
서 78
 
6.2%
시 77
 
6.1%
울 75
 
6.0%
구 75
 
6.0%
별 75
 
6.0%
특 75
 
6.0%
지 66
 
5.3%
번 63
 
5.0%
Other values (96) 505
40.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
A 2
25.0%
I 1
12.5%
T 1
12.5%
B 1
12.5%
K 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
8 1
20.0%
7 1
20.0%
6 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 427
99.3%
, 3
 
0.7%
Space Separator
ValueCountFrequency (%)
378
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1257
58.5%
Common 882
41.1%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 84
 
6.7%
용 84
 
6.7%
서 78
 
6.2%
시 77
 
6.1%
울 75
 
6.0%
구 75
 
6.0%
별 75
 
6.0%
특 75
 
6.0%
지 66
 
5.3%
번 63
 
5.0%
Other values (96) 505
40.2%
Common
ValueCountFrequency (%)
* 427
48.4%
378
42.9%
- 69
 
7.8%
, 3
 
0.3%
2 2
 
0.2%
8 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
C 2
25.0%
A 2
25.0%
I 1
12.5%
T 1
12.5%
B 1
12.5%
K 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1257
58.5%
ASCII 890
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 427
48.0%
378
42.5%
- 69
 
7.8%
, 3
 
0.3%
C 2
 
0.2%
A 2
 
0.2%
2 2
 
0.2%
I 1
 
0.1%
8 1
 
0.1%
T 1
 
0.1%
Other values (4) 4
 
0.4%
Hangul
ValueCountFrequency (%)
산 84
 
6.7%
용 84
 
6.7%
서 78
 
6.2%
시 77
 
6.1%
울 75
 
6.0%
구 75
 
6.0%
별 75
 
6.0%
특 75
 
6.0%
지 66
 
5.3%
번 63
 
5.0%
Other values (96) 505
40.2%

도로명주소
Text

MISSING 

Distinct58
Distinct (%)93.5%
Missing13
Missing (%)17.3%
Memory size732.0 B
2024-05-11T15:15:20.484485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length34.677419
Min length22

Characters and Unicode

Total characters2150
Distinct characters134
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

Unique55 ?
Unique (%)88.7%

Sample

1st row서울특별시 용산구 청파로**나길 * (청파동*가,청파프라자 ***호)
2nd row서울특별시 용산구 청파로 *** (한강로*가,나진상가 **동)
3rd row서울특별시 용산구 한강대로**길 ** (한강로*가)
4th row서울특별시 용산구 새창로**길 ** (신계동)
5th row서울특별시 용산구 원효로 *** (원효로*가,조양빌딩 *층)
ValueCountFrequency (%)
63
16.4%
서울특별시 62
16.1%
용산구 62
16.1%
층 19
 
4.9%
호 18
 
4.7%
한강로*가 11
 
2.9%
청파로 11
 
2.9%
한강대로**길 9
 
2.3%
원효로*가 7
 
1.8%
한강대로 7
 
1.8%
Other values (79) 115
29.9%
2024-05-11T15:15:21.243683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
358
 
16.7%
* 338
 
15.7%
로 97
 
4.5%
서 68
 
3.2%
산 68
 
3.2%
용 68
 
3.2%
시 64
 
3.0%
구 63
 
2.9%
울 62
 
2.9%
, 62
 
2.9%
Other values (124) 902
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1248
58.0%
Other Punctuation 400
 
18.6%
Space Separator 358
 
16.7%
Open Punctuation 62
 
2.9%
Close Punctuation 62
 
2.9%
Dash Punctuation 8
 
0.4%
Uppercase Letter 8
 
0.4%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 97
 
7.8%
서 68
 
5.4%
산 68
 
5.4%
용 68
 
5.4%
시 64
 
5.1%
구 63
 
5.0%
울 62
 
5.0%
별 62
 
5.0%
특 62
 
5.0%
한 61
 
4.9%
Other values (108) 573
45.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
B 1
12.5%
K 1
12.5%
I 1
12.5%
T 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
0 1
25.0%
3 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 338
84.5%
, 62
 
15.5%
Space Separator
ValueCountFrequency (%)
358
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1248
58.0%
Common 894
41.6%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 97
 
7.8%
서 68
 
5.4%
산 68
 
5.4%
용 68
 
5.4%
시 64
 
5.1%
구 63
 
5.0%
울 62
 
5.0%
별 62
 
5.0%
특 62
 
5.0%
한 61
 
4.9%
Other values (108) 573
45.9%
Common
ValueCountFrequency (%)
358
40.0%
* 338
37.8%
, 62
 
6.9%
( 62
 
6.9%
) 62
 
6.9%
- 8
 
0.9%
2 1
 
0.1%
0 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
B 1
12.5%
K 1
12.5%
I 1
12.5%
T 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1248
58.0%
ASCII 902
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
358
39.7%
* 338
37.5%
, 62
 
6.9%
( 62
 
6.9%
) 62
 
6.9%
- 8
 
0.9%
A 2
 
0.2%
C 2
 
0.2%
B 1
 
0.1%
K 1
 
0.1%
Other values (6) 6
 
0.7%
Hangul
ValueCountFrequency (%)
로 97
 
7.8%
서 68
 
5.4%
산 68
 
5.4%
용 68
 
5.4%
시 64
 
5.1%
구 63
 
5.0%
울 62
 
5.0%
별 62
 
5.0%
특 62
 
5.0%
한 61
 
4.9%
Other values (108) 573
45.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)68.4%
Missing56
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean11561.947
Minimum4334
Maximum140779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T15:15:21.457320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4334
5-th percentile4337.6
Q14372.5
median4384
Q34411
95-th percentile18053.2
Maximum140779
Range136445
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation31291.347
Coefficient of variation (CV)2.706408
Kurtosis18.999973
Mean11561.947
Median Absolute Deviation (MAD)21
Skewness4.3588945
Sum219677
Variance9.791484 × 108
MonotonicityNot monotonic
2024-05-11T15:15:21.684339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4417 4
 
5.3%
4377 2
 
2.7%
4363 2
 
2.7%
4389 2
 
2.7%
4373 1
 
1.3%
4384 1
 
1.3%
4334 1
 
1.3%
140779 1
 
1.3%
4372 1
 
1.3%
4338 1
 
1.3%
Other values (3) 3
 
4.0%
(Missing) 56
74.7%
ValueCountFrequency (%)
4334 1
1.3%
4338 1
1.3%
4363 2
2.7%
4372 1
1.3%
4373 1
1.3%
4377 2
2.7%
4379 1
1.3%
4384 1
1.3%
4387 1
1.3%
4389 2
2.7%
ValueCountFrequency (%)
140779 1
 
1.3%
4417 4
5.3%
4405 1
 
1.3%
4389 2
2.7%
4387 1
 
1.3%
4384 1
 
1.3%
4379 1
 
1.3%
4377 2
2.7%
4373 1
 
1.3%
4372 1
 
1.3%

사업장명
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T15:15:22.080934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.3066667
Min length2

Characters and Unicode

Total characters623
Distinct characters169
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)97.3%

Sample

1st row명립
2nd row인텍씨디기획주식회사
3rd row디지탈에버그린
4th row킴스미디어
5th row(주)씨디플러스
ValueCountFrequency (%)
주식회사 5
 
6.2%
대원씨아이 2
 
2.5%
플레이리스트주식회사 1
 
1.2%
주)하이브 1
 
1.2%
주)대원디지털엔터테인먼트 1
 
1.2%
소명미디어 1
 
1.2%
주)다복엔터테인먼트 1
 
1.2%
주)디브이디체인 1
 
1.2%
주)엠지미디어링크 1
 
1.2%
디브이디엔터 1
 
1.2%
Other values (65) 65
81.2%
2024-05-11T15:15:22.886242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 49
 
7.9%
) 42
 
6.7%
( 42
 
6.7%
스 31
 
5.0%
디 28
 
4.5%
이 25
 
4.0%
트 15
 
2.4%
인 12
 
1.9%
씨 12
 
1.9%
브 11
 
1.8%
Other values (159) 356
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
82.7%
Close Punctuation 42
 
6.7%
Open Punctuation 42
 
6.7%
Uppercase Letter 17
 
2.7%
Space Separator 5
 
0.8%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 49
 
9.5%
스 31
 
6.0%
디 28
 
5.4%
이 25
 
4.9%
트 15
 
2.9%
인 12
 
2.3%
씨 12
 
2.3%
브 11
 
2.1%
터 11
 
2.1%
에 10
 
1.9%
Other values (144) 311
60.4%
Uppercase Letter
ValueCountFrequency (%)
D 4
23.5%
C 3
17.6%
E 2
11.8%
N 2
11.8%
A 1
 
5.9%
I 1
 
5.9%
U 1
 
5.9%
M 1
 
5.9%
O 1
 
5.9%
V 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
82.7%
Common 91
 
14.6%
Latin 17
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 49
 
9.5%
스 31
 
6.0%
디 28
 
5.4%
이 25
 
4.9%
트 15
 
2.9%
인 12
 
2.3%
씨 12
 
2.3%
브 11
 
2.1%
터 11
 
2.1%
에 10
 
1.9%
Other values (144) 311
60.4%
Latin
ValueCountFrequency (%)
D 4
23.5%
C 3
17.6%
E 2
11.8%
N 2
11.8%
A 1
 
5.9%
I 1
 
5.9%
U 1
 
5.9%
M 1
 
5.9%
O 1
 
5.9%
V 1
 
5.9%
Common
ValueCountFrequency (%)
) 42
46.2%
( 42
46.2%
5
 
5.5%
, 1
 
1.1%
. 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
82.7%
ASCII 108
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 49
 
9.5%
스 31
 
6.0%
디 28
 
5.4%
이 25
 
4.9%
트 15
 
2.9%
인 12
 
2.3%
씨 12
 
2.3%
브 11
 
2.1%
터 11
 
2.1%
에 10
 
1.9%
Other values (144) 311
60.4%
ASCII
ValueCountFrequency (%)
) 42
38.9%
( 42
38.9%
5
 
4.6%
D 4
 
3.7%
C 3
 
2.8%
E 2
 
1.9%
N 2
 
1.9%
, 1
 
0.9%
A 1
 
0.9%
I 1
 
0.9%
Other values (5) 5
 
4.6%

최종수정일자
Date

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2006-03-30 09:30:35
Maximum2024-03-05 09:18:47
2024-05-11T15:15:23.135797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:23.398852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
I
67 
U
8 

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 67
89.3%
U 8
 
10.7%

Length

2024-05-11T15:15:23.755613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:23.994137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 67
89.3%
u 8
 
10.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct15
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2018-08-31 23:59:59.0
61 
2021-11-21 02:40:00.0
 
1
2021-08-08 02:40:00.0
 
1
2018-09-18 23:59:59.0
 
1
2018-11-04 02:35:47.0
 
1
Other values (10)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)18.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 61
81.3%
2021-11-21 02:40:00.0 1
 
1.3%
2021-08-08 02:40:00.0 1
 
1.3%
2018-09-18 23:59:59.0 1
 
1.3%
2018-11-04 02:35:47.0 1
 
1.3%
2021-12-06 00:02:00.0 1
 
1.3%
2020-05-29 00:23:19.0 1
 
1.3%
2021-11-01 22:05:00.0 1
 
1.3%
2021-02-27 00:23:00.0 1
 
1.3%
2023-12-03 00:07:00.0 1
 
1.3%
Other values (5) 5
 
6.7%

Length

2024-05-11T15:15:24.250424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 62
41.3%
2018-08-31 61
40.7%
02:40:00.0 3
 
2.0%
00:23:00.0 1
 
0.7%
2022-12-02 1
 
0.7%
00:06:00.0 1
 
0.7%
2021-12-04 1
 
0.7%
00:22:59.0 1
 
0.7%
2021-09-02 1
 
0.7%
2021-07-30 1
 
0.7%
Other values (17) 17
 
11.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)80.6%
Missing3
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean197452.72
Minimum195766.89
Maximum200628.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T15:15:24.536676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195766.89
5-th percentile196075.64
Q1196625.57
median196861.27
Q3197805.19
95-th percentile200319.06
Maximum200628.55
Range4861.6633
Interquartile range (IQR)1179.622

Descriptive statistics

Standard deviation1358.6637
Coefficient of variation (CV)0.0068809572
Kurtosis0.24627104
Mean197452.72
Median Absolute Deviation (MAD)309.14324
Skewness1.2586873
Sum14216596
Variance1845967
MonotonicityNot monotonic
2024-05-11T15:15:24.813834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200319.06075632 4
 
5.3%
196727.535753619 4
 
5.3%
196678.783699399 4
 
5.3%
196602.375926256 2
 
2.7%
196762.077394917 2
 
2.7%
197007.893017627 2
 
2.7%
196455.434861684 2
 
2.7%
200628.554655257 2
 
2.7%
196721.378169086 1
 
1.3%
199678.685128404 1
 
1.3%
Other values (48) 48
64.0%
(Missing) 3
 
4.0%
ValueCountFrequency (%)
195766.891381353 1
1.3%
196012.848671772 1
1.3%
196052.846405106 1
1.3%
196060.559012563 1
1.3%
196087.977652228 1
1.3%
196118.749575977 1
1.3%
196358.196462669 1
1.3%
196370.746398773 1
1.3%
196387.512989845 1
1.3%
196455.434861684 2
2.7%
ValueCountFrequency (%)
200628.554655257 2
2.7%
200468.881253388 1
 
1.3%
200319.06075632 4
5.3%
200235.649548249 1
 
1.3%
199678.685128404 1
 
1.3%
199672.893318414 1
 
1.3%
199354.607759317 1
 
1.3%
199218.006960189 1
 
1.3%
199214.10239741 1
 
1.3%
199092.539603512 1
 
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)80.6%
Missing3
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean447948.67
Minimum446114.16
Maximum450189.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T15:15:25.122800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446114.16
5-th percentile446821.5
Q1447238.27
median447932.83
Q3448334.18
95-th percentile449453.55
Maximum450189.74
Range4075.5843
Interquartile range (IQR)1095.916

Descriptive statistics

Standard deviation853.65718
Coefficient of variation (CV)0.0019057031
Kurtosis0.48101528
Mean447948.67
Median Absolute Deviation (MAD)523.02373
Skewness0.55518744
Sum32252304
Variance728730.57
MonotonicityNot monotonic
2024-05-11T15:15:25.464676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448640.981454745 4
 
5.3%
447868.128308607 4
 
5.3%
447045.206052439 4
 
5.3%
447946.086467896 2
 
2.7%
447480.039577359 2
 
2.7%
447027.42705808 2
 
2.7%
448127.030156873 2
 
2.7%
448024.720455877 2
 
2.7%
447971.908557166 1
 
1.3%
448086.564575334 1
 
1.3%
Other values (48) 48
64.0%
(Missing) 3
 
4.0%
ValueCountFrequency (%)
446114.155238838 1
 
1.3%
446503.162895472 1
 
1.3%
446542.984322235 1
 
1.3%
446801.359490614 1
 
1.3%
446837.982163744 1
 
1.3%
446862.978329468 1
 
1.3%
446947.960824067 1
 
1.3%
447027.42705808 2
2.7%
447045.206052439 4
5.3%
447073.62284187 1
 
1.3%
ValueCountFrequency (%)
450189.739550615 1
1.3%
450187.572139157 1
1.3%
450107.464524877 1
1.3%
449579.232930684 1
1.3%
449350.721297758 1
1.3%
449223.952135498 1
1.3%
449109.482431651 1
1.3%
449012.518444493 1
1.3%
448998.883590027 1
1.3%
448937.796600615 1
1.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
비디오물배급업
70 
<NA>
 
5

Length

Max length7
Median length7
Mean length6.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 70
93.3%
<NA> 5
 
6.7%

Length

2024-05-11T15:15:25.761422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:25.973179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 70
93.3%
na 5
 
6.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
유통관련업
49 
<NA>
26 

Length

Max length5
Median length5
Mean length4.6533333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 49
65.3%
<NA> 26
34.7%

Length

2024-05-11T15:15:26.180244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:26.416132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 49
65.3%
na 26
34.7%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
70 
0
 
4
1
 
1

Length

Max length4
Median length4
Mean length3.8
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
93.3%
0 4
 
5.3%
1 1
 
1.3%

Length

2024-05-11T15:15:26.634576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:26.900521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
93.3%
0 4
 
5.3%
1 1
 
1.3%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
71 
기타
 
4

Length

Max length4
Median length4
Mean length3.8933333
Min length2

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> 71
94.7%
기타 4
 
5.3%

Length

2024-05-11T15:15:27.231148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:27.468031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
94.7%
기타 4
 
5.3%

제작취급품목내용
Text

MISSING 

Distinct18
Distinct (%)66.7%
Missing48
Missing (%)64.0%
Memory size732.0 B
2024-05-11T15:15:27.734079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length7.2222222
Min length2

Characters and Unicode

Total characters195
Distinct characters57
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

Unique17 ?
Unique (%)63.0%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물(2006.12.21 상호변경)
4th row비디오물
5th rowcd
ValueCountFrequency (%)
비디오물 11
25.0%
dvd 4
 
9.1%
cd 2
 
4.5%
외 2
 
4.5%
영화 2
 
4.5%
광고 2
 
4.5%
영상 1
 
2.3%
비디오,dvd 1
 
2.3%
배급 1
 
2.3%
영상물 1
 
2.3%
Other values (17) 17
38.6%
2024-05-11T15:15:28.335237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
9.2%
D 17
 
8.7%
비 16
 
8.2%
오 16
 
8.2%
디 16
 
8.2%
물 15
 
7.7%
, 11
 
5.6%
V 10
 
5.1%
영 6
 
3.1%
상 4
 
2.1%
Other values (47) 66
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
59.5%
Uppercase Letter 34
 
17.4%
Space Separator 18
 
9.2%
Other Punctuation 13
 
6.7%
Decimal Number 8
 
4.1%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%
Lowercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 16
13.8%
오 16
13.8%
디 16
13.8%
물 15
12.9%
영 6
 
5.2%
상 4
 
3.4%
화 3
 
2.6%
이 2
 
1.7%
광 2
 
1.7%
고 2
 
1.7%
Other values (31) 34
29.3%
Uppercase Letter
ValueCountFrequency (%)
D 17
50.0%
V 10
29.4%
H 3
 
8.8%
S 2
 
5.9%
C 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 2
25.0%
0 2
25.0%
6 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 11
84.6%
. 2
 
15.4%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
d 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
59.5%
Common 43
 
22.1%
Latin 36
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 16
13.8%
오 16
13.8%
디 16
13.8%
물 15
12.9%
영 6
 
5.2%
상 4
 
3.4%
화 3
 
2.6%
이 2
 
1.7%
광 2
 
1.7%
고 2
 
1.7%
Other values (31) 34
29.3%
Common
ValueCountFrequency (%)
18
41.9%
, 11
25.6%
2 3
 
7.0%
. 2
 
4.7%
( 2
 
4.7%
1 2
 
4.7%
) 2
 
4.7%
0 2
 
4.7%
6 1
 
2.3%
Latin
ValueCountFrequency (%)
D 17
47.2%
V 10
27.8%
H 3
 
8.3%
S 2
 
5.6%
C 2
 
5.6%
c 1
 
2.8%
d 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
59.5%
ASCII 79
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
22.8%
D 17
21.5%
, 11
13.9%
V 10
12.7%
2 3
 
3.8%
H 3
 
3.8%
. 2
 
2.5%
( 2
 
2.5%
1 2
 
2.5%
S 2
 
2.5%
Other values (6) 9
11.4%
Hangul
ValueCountFrequency (%)
비 16
13.8%
오 16
13.8%
디 16
13.8%
물 15
12.9%
영 6
 
5.2%
상 4
 
3.4%
화 3
 
2.6%
이 2
 
1.7%
광 2
 
1.7%
고 2
 
1.7%
Other values (31) 34
29.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)94.1%
Missing58
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean153.55353
Minimum0
Maximum782.2
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T15:15:28.643863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.776
Q133
median56
Q3182.81
95-th percentile592.04
Maximum782.2
Range782.2
Interquartile range (IQR)149.81

Descriptive statistics

Standard deviation213.64368
Coefficient of variation (CV)1.3913303
Kurtosis4.3134741
Mean153.55353
Median Absolute Deviation (MAD)26.58
Skewness2.1350977
Sum2610.41
Variance45643.621
MonotonicityNot monotonic
2024-05-11T15:15:29.016068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
71.86 2
 
2.7%
33.0 1
 
1.3%
104.29 1
 
1.3%
283.8 1
 
1.3%
52.58 1
 
1.3%
50.0 1
 
1.3%
182.81 1
 
1.3%
56.0 1
 
1.3%
29.91 1
 
1.3%
782.2 1
 
1.3%
Other values (6) 6
 
8.0%
(Missing) 58
77.3%
ValueCountFrequency (%)
0.0 1
1.3%
4.72 1
1.3%
29.42 1
1.3%
29.91 1
1.3%
33.0 1
1.3%
40.0 1
1.3%
50.0 1
1.3%
52.58 1
1.3%
56.0 1
1.3%
71.86 2
2.7%
ValueCountFrequency (%)
782.2 1
1.3%
544.5 1
1.3%
283.8 1
1.3%
273.46 1
1.3%
182.81 1
1.3%
104.29 1
1.3%
71.86 2
2.7%
56.0 1
1.3%
52.58 1
1.3%
50.0 1
1.3%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
70 
0
 
4
2
 
1

Length

Max length4
Median length4
Mean length3.8
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
93.3%
0 4
 
5.3%
2 1
 
1.3%

Length

2024-05-11T15:15:29.499998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:29.783607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
93.3%
0 4
 
5.3%
2 1
 
1.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
71 
0
 
4

Length

Max length4
Median length4
Mean length3.84
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> 71
94.7%
0 4
 
5.3%

Length

2024-05-11T15:15:30.024805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:30.271574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
94.7%
0 4
 
5.3%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
70 
사무실
 
4
근린생활시설
 
1

Length

Max length6
Median length4
Mean length3.9733333
Min length3

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
93.3%
사무실 4
 
5.3%
근린생활시설 1
 
1.3%

Length

2024-05-11T15:15:30.507621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:30.756430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
93.3%
사무실 4
 
5.3%
근린생활시설 1
 
1.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
71 
0
 
4

Length

Max length4
Median length4
Mean length3.84
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> 71
94.7%
0 4
 
5.3%

Length

2024-05-11T15:15:30.988968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:31.211996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
94.7%
0 4
 
5.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
71 
0
 
4

Length

Max length4
Median length4
Mean length3.84
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> 71
94.7%
0 4
 
5.3%

Length

2024-05-11T15:15:31.936643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:32.149961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
94.7%
0 4
 
5.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
71 
0
 
4

Length

Max length4
Median length4
Mean length3.84
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> 71
94.7%
0 4
 
5.3%

Length

2024-05-11T15:15:32.357789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:32.562934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
94.7%
0 4
 
5.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
71 
0
 
4

Length

Max length4
Median length4
Mean length3.84
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> 71
94.7%
0 4
 
5.3%

Length

2024-05-11T15:15:32.788433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:33.008650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
94.7%
0 4
 
5.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
71 
0
 
4

Length

Max length4
Median length4
Mean length3.84
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> 71
94.7%
0 4
 
5.3%

Length

2024-05-11T15:15:33.241192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:33.475824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
94.7%
0 4
 
5.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing71
Missing (%)94.7%
Memory size732.0 B
2024-05-11T15:15:33.698206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.75
Min length5

Characters and Unicode

Total characters23
Distinct characters7
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 (%)25.0%

Sample

1st row일반주거지역
2nd row준주거지역
3rd row일반주거지역
4th row일반주거지역
ValueCountFrequency (%)
일반주거지역 3
75.0%
준주거지역 1
 
25.0%
2024-05-11T15:15:34.239690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
17.4%
거 4
17.4%
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
준 1
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
17.4%
거 4
17.4%
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
준 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
17.4%
거 4
17.4%
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
준 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
17.4%
거 4
17.4%
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
준 1
 
4.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF124111199900000219991006<NA>1영업/정상13영업중<NA><NA><NA><NA>703-8653<NA>140132서울특별시 용산구 청파동*가 **-*번지 청파프라자 ***호서울특별시 용산구 청파로**나길 * (청파동*가,청파프라자 ***호)<NA>명립2006-03-30 13:58:42I2018-08-31 23:59:59.0<NA>196999.869048449223.952135비디오물배급업유통관련업<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>
13020000CDFF124111199900000319990625<NA>1영업/정상13영업중<NA><NA><NA><NA>714-4405<NA>140878서울특별시 용산구 한강로*가 *-**번지 나진상가 **동서울특별시 용산구 청파로 *** (한강로*가,나진상가 **동)<NA>인텍씨디기획주식회사2006-04-03 10:42:06I2018-08-31 23:59:59.0<NA>196727.535754447868.128309비디오물배급업유통관련업<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>
23020000CDFF124111199900000419990719<NA>1영업/정상13영업중<NA><NA><NA><NA>793-3535<NA>140883서울특별시 용산구 한강로*가 **-***번지서울특별시 용산구 한강대로**길 ** (한강로*가)<NA>디지탈에버그린2006-04-03 10:43:15I2018-08-31 23:59:59.0<NA>197075.435249446801.359491비디오물배급업유통관련업<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>
33020000CDFF124111199900000519991025<NA>1영업/정상13영업중<NA><NA><NA><NA>719-6845<NA>140090서울특별시 용산구 신계동 **-**번지서울특별시 용산구 새창로**길 ** (신계동)<NA>킴스미디어2006-04-03 10:44:36I2018-08-31 23:59:59.0<NA>196602.375926447946.086468비디오물배급업유통관련업<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>
43020000CDFF124111200000000120000215<NA>1영업/정상13영업중<NA><NA><NA><NA>718-6077<NA>140905서울특별시 용산구 원효로*가 **-*번지 조양빌딩 *층서울특별시 용산구 원효로 *** (원효로*가,조양빌딩 *층)<NA>(주)씨디플러스2006-03-30 13:21:32I2018-08-31 23:59:59.0<NA>196711.755093448218.182466비디오물배급업유통관련업<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>
53020000CDFF124111200000000220001223<NA>1영업/정상13영업중<NA><NA><NA><NA>704-2100<NA>140879서울특별시 용산구 한강로*가 **-**번지 한통엔지니어링빌딩 **층서울특별시 용산구 청파로 ** (한강로*가,한통엔지니어링빌딩 **층)<NA>(주)디지탈포스트2006-03-30 13:25:19I2018-08-31 23:59:59.0<NA>196087.977652447749.621213비디오물배급업유통관련업<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>
63020000CDFF124111200000000320000928<NA>1영업/정상13영업중<NA><NA><NA><NA>815-1210<NA>140876서울특별시 용산구 한강로*가 ***-*번지<NA><NA>(주)에스에스티브이2006-03-30 14:05:58I2018-08-31 23:59:59.0<NA>196927.920119447262.925514비디오물배급업유통관련업<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>
73020000CDFF124111200000000420000529<NA>1영업/정상13영업중<NA><NA><NA><NA>703-5591<NA>140847서울특별시 용산구 원효로*가 *-*번지서울특별시 용산구 원효로 *** (원효로*가)<NA>N.COM2006-03-31 11:08:27I2018-08-31 23:59:59.0<NA>196902.372847448360.856336비디오물배급업유통관련업<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>
83020000CDFF124111200000000520000325<NA>3폐업3폐업20120206<NA><NA><NA>709-1552<NA><NA>서울특별시 용산구 이태원동 ***-***번지<NA><NA>(주)필립스전자2012-02-06 15:35:11I2018-08-31 23:59:59.0<NA>199214.102397448891.79444비디오물배급업<NA><NA><NA>비디오물<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>
93020000CDFF124111200000000620000527<NA>1영업/정상13영업중<NA><NA><NA><NA>719-8136<NA>140090서울특별시 용산구 신계동 **-**번지 ***호서울특별시 용산구 새창로**길 * (신계동,***호)<NA>월드무비2006-03-31 11:18:57I2018-08-31 23:59:59.0<NA>196626.703937448008.893009비디오물배급업유통관련업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
653020000CDFF124111202000000120200421<NA>3폐업3폐업20220531<NA><NA><NA>02-798-7587<NA><NA>서울특별시 용산구 한남동 ***-** 볼보빌딩서울특별시 용산구 한남대로 ***, 볼보빌딩 지하*층 (한남동)4417(주)스튜디오폴룩스2022-05-31 15:46:35U2021-12-06 00:02:00.0<NA>200319.060756448640.981455<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>
663020000CDFF124111202000000220161213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동*가 **-**번지서울특별시 용산구 소월로**길 **, 지층, *층, *층 (용산동*가)4338주식회사 오디언스(AUDIENCE)2020-05-27 13:35:12I2020-05-29 00:23:19.0<NA>198576.717792449109.482432비디오물배급업<NA><NA><NA>비디오물29.42<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>
673020000CDFF124111202000000320201007<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 726-82 볼보빌딩서울특별시 용산구 한남대로 130, 볼보빌딩 2층 (한남동)4417(주)바른손씨앤씨2022-12-23 09:35:11U2021-11-01 22:05:00.0<NA>200319.060756448640.981455<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>
683020000CDFF124111202100000120210225<NA>1영업/정상13영업중<NA><NA><NA><NA>02-749-8056<NA><NA>서울특별시 용산구 한남동 ***-**서울특별시 용산구 우사단로**가길 * (한남동)4405(주)트랙에이전시2021-02-25 09:18:23I2021-02-27 00:23:00.0<NA>199672.893318447919.564719비디오물배급업<NA><NA><NA>영상, 광고40.0<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>
693020000CDFF12411120210000022021-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7609-1428<NA><NA>서울특별시 용산구 한남동 ***-** 볼보빌딩서울특별시 용산구 한남대로 ***, 볼보빌딩 *층 (한남동)4417(주)바른손이앤에이2024-03-05 09:18:47U2023-12-03 00:07:00.0<NA>200319.060756448640.981455<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>
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713020000CDFF124111202100000420191015<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3444-0105<NA><NA>서울특별시 용산구 한강로*가 **-* 용산트레이드센터서울특별시 용산구 한강대로 **, 용산트레이드센터 (한강로*가)4389(주)하이브2021-07-28 15:32:43U2021-07-30 02:40:00.0<NA>196778.495552446947.960824비디오물배급업<NA>0<NA>다큐, 영화, 예능, 광고, 홍보 외 각종 영상물 배급544.500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
723020000CDFF124111202100000520170706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로*가 **-**서울특별시 용산구 서빙고로 **, 센트럴파크타워 **층 (한강로*가)4387플레이리스트주식회사2021-08-31 17:09:03I2021-09-02 00:22:59.0<NA>197071.403206447073.622842비디오물배급업<NA>0<NA>웹드라마4.7200<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
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