Overview

Dataset statistics

Number of variables56
Number of observations22
Missing cells597
Missing cells (%)48.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory495.0 B

Variable types

Categorical17
Text6
DateTime4
Unsupported25
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17306/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (73.3%)Imbalance
지상층수 is highly imbalanced (73.3%)Imbalance
지하층수 is highly imbalanced (73.3%)Imbalance
통로너비 is highly imbalanced (73.3%)Imbalance
조명시설조도 is highly imbalanced (73.3%)Imbalance
노래방실수 is highly imbalanced (73.3%)Imbalance
청소년실수 is highly imbalanced (73.3%)Imbalance
총게임기수 is highly imbalanced (73.3%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 15 (68.2%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 10 (45.5%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 12 (54.5%) missing valuesMissing
도로명우편번호 has 3 (13.6%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
주변환경명 has 22 (100.0%) missing valuesMissing
제작취급품목내용 has 7 (31.8%) missing valuesMissing
건물용도명 has 22 (100.0%) missing valuesMissing
비상계단여부 has 22 (100.0%) missing valuesMissing
비상구여부 has 22 (100.0%) missing valuesMissing
자동환기여부 has 22 (100.0%) missing valuesMissing
청소년실여부 has 22 (100.0%) missing valuesMissing
특수조명여부 has 22 (100.0%) missing valuesMissing
방음시설여부 has 22 (100.0%) missing valuesMissing
비디오재생기명 has 22 (100.0%) missing valuesMissing
조명시설유무 has 22 (100.0%) missing valuesMissing
음향시설여부 has 22 (100.0%) missing valuesMissing
편의시설여부 has 22 (100.0%) missing valuesMissing
소방시설여부 has 22 (100.0%) missing valuesMissing
기존게임업외업종명 has 22 (100.0%) missing valuesMissing
제공게임물명 has 22 (100.0%) missing valuesMissing
공연장형태구분명 has 22 (100.0%) missing valuesMissing
품목명 has 22 (100.0%) missing valuesMissing
최초등록시점 has 22 (100.0%) missing valuesMissing
지역구분명 has 22 (100.0%) 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
주변환경명 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
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:14:33.943933
Analysis finished2024-04-29 19:14:34.825290
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3140000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 22
100.0%

Length

2024-04-30T04:14:34.904185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:34.997008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T04:14:35.151408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters440
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

Unique22 ?
Unique (%)100.0%

Sample

1st rowCDFF1241112000000001
2nd rowCDFF1241112005000001
3rd rowCDFF1241112005000002
4th rowCDFF1241112006000001
5th rowCDFF1241112006000002
ValueCountFrequency (%)
cdff1241112000000001 1
 
4.5%
cdff1241112005000001 1
 
4.5%
cdff1241112022000001 1
 
4.5%
cdff1241112021000002 1
 
4.5%
cdff1241112021000001 1
 
4.5%
cdff1241112018000002 1
 
4.5%
cdff1241112018000001 1
 
4.5%
cdff1241112017000001 1
 
4.5%
cdff1241112012000002 1
 
4.5%
cdff1241112012000001 1
 
4.5%
Other values (12) 12
54.5%
2024-04-30T04:14:35.448986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
33.2%
1 104
23.6%
2 61
13.9%
F 44
 
10.0%
4 23
 
5.2%
C 22
 
5.0%
D 22
 
5.0%
6 4
 
0.9%
7 4
 
0.9%
8 4
 
0.9%
Other values (3) 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
80.0%
Uppercase Letter 88
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
41.5%
1 104
29.5%
2 61
17.3%
4 23
 
6.5%
6 4
 
1.1%
7 4
 
1.1%
8 4
 
1.1%
3 3
 
0.9%
5 2
 
0.6%
9 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
80.0%
Latin 88
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
41.5%
1 104
29.5%
2 61
17.3%
4 23
 
6.5%
6 4
 
1.1%
7 4
 
1.1%
8 4
 
1.1%
3 3
 
0.9%
5 2
 
0.6%
9 1
 
0.3%
Latin
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
33.2%
1 104
23.6%
2 61
13.9%
F 44
 
10.0%
4 23
 
5.2%
C 22
 
5.0%
D 22
 
5.0%
6 4
 
0.9%
7 4
 
0.9%
8 4
 
0.9%
Other values (3) 6
 
1.4%

인허가일자
Date

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2000-04-27 00:00:00
Maximum2022-12-15 00:00:00
2024-04-30T04:14:35.549603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:35.638180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
15 
3
4 
5
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
68.2%
3 4
 
18.2%
5 3
 
13.6%

Length

2024-04-30T04:14:35.741256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:35.827258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
68.2%
3 4
 
18.2%
5 3
 
13.6%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
15 
폐업
4 
제외/삭제/전출
3 

Length

Max length8
Median length5
Mean length4.8636364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
68.2%
폐업 4
 
18.2%
제외/삭제/전출 3
 
13.6%

Length

2024-04-30T04:14:35.931448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:36.041686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
68.2%
폐업 4
 
18.2%
제외/삭제/전출 3
 
13.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
13
15 
3
4 
15
3 

Length

Max length2
Median length2
Mean length1.8181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 15
68.2%
3 4
 
18.2%
15 3
 
13.6%

Length

2024-04-30T04:14:36.137734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:36.227726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 15
68.2%
3 4
 
18.2%
15 3
 
13.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업중
15 
폐업
4 
전출
3 

Length

Max length3
Median length3
Mean length2.6818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 15
68.2%
폐업 4
 
18.2%
전출 3
 
13.6%

Length

2024-04-30T04:14:36.333417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:36.428682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 15
68.2%
폐업 4
 
18.2%
전출 3
 
13.6%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)85.7%
Missing15
Missing (%)68.2%
Memory size308.0 B
Minimum2008-11-13 00:00:00
Maximum2023-03-13 00:00:00
2024-04-30T04:14:36.515777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:36.590790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing10
Missing (%)45.5%
Memory size308.0 B
2024-04-30T04:14:36.705405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length10.083333
Min length9

Characters and Unicode

Total characters121
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

Unique10 ?
Unique (%)83.3%

Sample

1st row02-2166-24
2nd row6405-8002
3rd row02-2650-7000
4th row02-2061-4571
5th row2653-5131
ValueCountFrequency (%)
2684-1483 2
16.7%
02-2166-24 1
8.3%
6405-8002 1
8.3%
02-2650-7000 1
8.3%
02-2061-4571 1
8.3%
2653-5131 1
8.3%
2603-0808 1
8.3%
2698-9191 1
8.3%
2645-5880 1
8.3%
070-4350-4565 1
8.3%
2024-04-30T04:14:36.972143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20
16.5%
- 17
14.0%
2 15
12.4%
6 14
11.6%
4 11
9.1%
8 10
8.3%
1 10
8.3%
5 10
8.3%
3 7
 
5.8%
7 4
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 104
86.0%
Dash Punctuation 17
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
19.2%
2 15
14.4%
6 14
13.5%
4 11
10.6%
8 10
9.6%
1 10
9.6%
5 10
9.6%
3 7
 
6.7%
7 4
 
3.8%
9 3
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20
16.5%
- 17
14.0%
2 15
12.4%
6 14
11.6%
4 11
9.1%
8 10
8.3%
1 10
8.3%
5 10
8.3%
3 7
 
5.8%
7 4
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20
16.5%
- 17
14.0%
2 15
12.4%
6 14
11.6%
4 11
9.1%
8 10
8.3%
1 10
8.3%
5 10
8.3%
3 7
 
5.8%
7 4
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)70.0%
Missing12
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean158446.8
Minimum158050
Maximum158860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:14:37.075840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158050
5-th percentile158050
Q1158050
median158438
Q3158846.75
95-th percentile158858.65
Maximum158860
Range810
Interquartile range (IQR)796.75

Descriptive statistics

Standard deviation414.43128
Coefficient of variation (CV)0.0026155863
Kurtosis-2.5587321
Mean158446.8
Median Absolute Deviation (MAD)388
Skewness0.0050591579
Sum1584468
Variance171753.29
MonotonicityNot monotonic
2024-04-30T04:14:37.166344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
158050 4
 
18.2%
158860 1
 
4.5%
158819 1
 
4.5%
158857 1
 
4.5%
158070 1
 
4.5%
158856 1
 
4.5%
158806 1
 
4.5%
(Missing) 12
54.5%
ValueCountFrequency (%)
158050 4
18.2%
158070 1
 
4.5%
158806 1
 
4.5%
158819 1
 
4.5%
158856 1
 
4.5%
158857 1
 
4.5%
158860 1
 
4.5%
ValueCountFrequency (%)
158860 1
 
4.5%
158857 1
 
4.5%
158856 1
 
4.5%
158819 1
 
4.5%
158806 1
 
4.5%
158070 1
 
4.5%
158050 4
18.2%

지번주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T04:14:37.308896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29.5
Mean length27.636364
Min length20

Characters and Unicode

Total characters608
Distinct characters70
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

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 양천구 목동 ***-**번지 현대드림타워 *층
2nd row서울특별시 양천구 신정동 ****-*번지 성배법조빌딩 *층
3rd row서울특별시 양천구 목동 ***-* 기독교방송국건물
4th row서울특별시 양천구 목동 ***-*번지 가인빌딩 ***호
5th row서울특별시 양천구 신정동 ***-**번지 송우빌딩 *층
ValueCountFrequency (%)
서울특별시 22
18.6%
양천구 22
18.6%
목동 14
11.9%
번지 12
10.2%
11
9.3%
신정동 7
 
5.9%
층 6
 
5.1%
호 5
 
4.2%
kt정보전산센터 2
 
1.7%
b***호 1
 
0.8%
Other values (16) 16
13.6%
2024-04-30T04:14:37.582516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 125
20.6%
106
17.4%
동 24
 
3.9%
천 23
 
3.8%
양 23
 
3.8%
울 22
 
3.6%
구 22
 
3.6%
서 22
 
3.6%
시 22
 
3.6%
별 22
 
3.6%
Other values (60) 197
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
58.6%
Other Punctuation 125
 
20.6%
Space Separator 106
 
17.4%
Dash Punctuation 15
 
2.5%
Lowercase Letter 4
 
0.7%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
 
6.7%
천 23
 
6.5%
양 23
 
6.5%
울 22
 
6.2%
구 22
 
6.2%
서 22
 
6.2%
시 22
 
6.2%
별 22
 
6.2%
특 22
 
6.2%
목 15
 
4.2%
Other values (54) 139
39.0%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
t 2
50.0%
Other Punctuation
ValueCountFrequency (%)
* 125
100.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
58.6%
Common 246
40.5%
Latin 6
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
 
6.7%
천 23
 
6.5%
양 23
 
6.5%
울 22
 
6.2%
구 22
 
6.2%
서 22
 
6.2%
시 22
 
6.2%
별 22
 
6.2%
특 22
 
6.2%
목 15
 
4.2%
Other values (54) 139
39.0%
Common
ValueCountFrequency (%)
* 125
50.8%
106
43.1%
- 15
 
6.1%
Latin
ValueCountFrequency (%)
B 2
33.3%
k 2
33.3%
t 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
58.6%
ASCII 252
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 125
49.6%
106
42.1%
- 15
 
6.0%
B 2
 
0.8%
k 2
 
0.8%
t 2
 
0.8%
Hangul
ValueCountFrequency (%)
동 24
 
6.7%
천 23
 
6.5%
양 23
 
6.5%
울 22
 
6.2%
구 22
 
6.2%
서 22
 
6.2%
시 22
 
6.2%
별 22
 
6.2%
특 22
 
6.2%
목 15
 
4.2%
Other values (54) 139
39.0%

도로명주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T04:14:37.762250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35.5
Mean length32.409091
Min length23

Characters and Unicode

Total characters713
Distinct characters74
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 *층)
2nd row서울특별시 양천구 신월로 *** (신정동,성배법조빌딩 *층)
3rd row서울특별시 양천구 목동서로 ***-* (목동)
4th row서울특별시 양천구 등촌로 *, ***호 (목동,가인빌딩)
5th row서울특별시 양천구 중앙로**길 ** (신정동,송우빌딩 *층)
ValueCountFrequency (%)
23
17.4%
서울특별시 22
16.7%
양천구 22
16.7%
목동 10
 
7.6%
목동서로 9
 
6.8%
층 6
 
4.5%
호 6
 
4.5%
신정동 3
 
2.3%
신월로 3
 
2.3%
목동동로 2
 
1.5%
Other values (25) 26
19.7%
2024-04-30T04:14:38.059339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
16.8%
* 111
15.6%
동 39
 
5.5%
서 31
 
4.3%
목 29
 
4.1%
양 23
 
3.2%
천 23
 
3.2%
특 22
 
3.1%
별 22
 
3.1%
시 22
 
3.1%
Other values (64) 271
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
57.6%
Other Punctuation 132
 
18.5%
Space Separator 120
 
16.8%
Open Punctuation 22
 
3.1%
Close Punctuation 22
 
3.1%
Dash Punctuation 4
 
0.6%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
9.5%
서 31
 
7.5%
목 29
 
7.1%
양 23
 
5.6%
천 23
 
5.6%
특 22
 
5.4%
별 22
 
5.4%
시 22
 
5.4%
구 22
 
5.4%
로 22
 
5.4%
Other values (57) 156
38.0%
Other Punctuation
ValueCountFrequency (%)
* 111
84.1%
, 21
 
15.9%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
57.6%
Common 300
42.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
9.5%
서 31
 
7.5%
목 29
 
7.1%
양 23
 
5.6%
천 23
 
5.6%
특 22
 
5.4%
별 22
 
5.4%
시 22
 
5.4%
구 22
 
5.4%
로 22
 
5.4%
Other values (57) 156
38.0%
Common
ValueCountFrequency (%)
120
40.0%
* 111
37.0%
( 22
 
7.3%
) 22
 
7.3%
, 21
 
7.0%
- 4
 
1.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
57.6%
ASCII 302
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
39.7%
* 111
36.8%
( 22
 
7.3%
) 22
 
7.3%
, 21
 
7.0%
- 4
 
1.3%
B 2
 
0.7%
Hangul
ValueCountFrequency (%)
동 39
 
9.5%
서 31
 
7.5%
목 29
 
7.1%
양 23
 
5.6%
천 23
 
5.6%
특 22
 
5.4%
별 22
 
5.4%
시 22
 
5.4%
구 22
 
5.4%
로 22
 
5.4%
Other values (57) 156
38.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)73.7%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean23869.789
Minimum7938
Maximum158714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:14:38.151051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7938
5-th percentile7943.4
Q17989
median7997
Q38061.5
95-th percentile158714
Maximum158714
Range150776
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation47518.592
Coefficient of variation (CV)1.990742
Kurtosis6.508635
Mean23869.789
Median Absolute Deviation (MAD)28
Skewness2.7984353
Sum453526
Variance2.2580166 × 109
MonotonicityNot monotonic
2024-04-30T04:14:38.236910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7995 3
13.6%
7997 2
9.1%
158714 2
9.1%
8087 2
9.1%
8021 1
 
4.5%
7966 1
 
4.5%
7944 1
 
4.5%
8079 1
 
4.5%
8005 1
 
4.5%
8044 1
 
4.5%
Other values (4) 4
18.2%
(Missing) 3
13.6%
ValueCountFrequency (%)
7938 1
 
4.5%
7944 1
 
4.5%
7966 1
 
4.5%
7969 1
 
4.5%
7983 1
 
4.5%
7995 3
13.6%
7996 1
 
4.5%
7997 2
9.1%
8005 1
 
4.5%
8021 1
 
4.5%
ValueCountFrequency (%)
158714 2
9.1%
8087 2
9.1%
8079 1
 
4.5%
8044 1
 
4.5%
8021 1
 
4.5%
8005 1
 
4.5%
7997 2
9.1%
7996 1
 
4.5%
7995 3
13.6%
7983 1
 
4.5%

사업장명
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T04:14:38.397764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length9.0909091
Min length3

Characters and Unicode

Total characters200
Distinct characters90
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

Unique20 ?
Unique (%)90.9%

Sample

1st row김천곤
2nd row(주)삼우엠앤씨
3rd row주식회사 씨비에스미디어캐스트
4th row(주)나래디엔피
5th row이제이미디어
ValueCountFrequency (%)
주식회사 3
 
10.3%
주)케이엠에이치 2
 
6.9%
주)디지털애플 1
 
3.4%
주 1
 
3.4%
주)씨엔유콘텐츠 1
 
3.4%
엔포지션 1
 
3.4%
factory 1
 
3.4%
dream 1
 
3.4%
미디어스미스 1
 
3.4%
주)웨이트포유 1
 
3.4%
Other values (16) 16
55.2%
2024-04-30T04:14:38.678822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
7.5%
) 14
 
7.0%
이 11
 
5.5%
스 10
 
5.0%
( 9
 
4.5%
디 8
 
4.0%
7
 
3.5%
에 6
 
3.0%
미 5
 
2.5%
사 4
 
2.0%
Other values (80) 111
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
79.0%
Close Punctuation 14
 
7.0%
Lowercase Letter 10
 
5.0%
Open Punctuation 9
 
4.5%
Space Separator 7
 
3.5%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
9.5%
이 11
 
7.0%
스 10
 
6.3%
디 8
 
5.1%
에 6
 
3.8%
미 5
 
3.2%
사 4
 
2.5%
어 4
 
2.5%
회 4
 
2.5%
지 3
 
1.9%
Other values (67) 88
55.7%
Lowercase Letter
ValueCountFrequency (%)
r 2
20.0%
a 2
20.0%
e 1
10.0%
m 1
10.0%
c 1
10.0%
t 1
10.0%
o 1
10.0%
y 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
F 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
79.0%
Common 30
 
15.0%
Latin 12
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
9.5%
이 11
 
7.0%
스 10
 
6.3%
디 8
 
5.1%
에 6
 
3.8%
미 5
 
3.2%
사 4
 
2.5%
어 4
 
2.5%
회 4
 
2.5%
지 3
 
1.9%
Other values (67) 88
55.7%
Latin
ValueCountFrequency (%)
r 2
16.7%
a 2
16.7%
D 1
8.3%
e 1
8.3%
m 1
8.3%
F 1
8.3%
c 1
8.3%
t 1
8.3%
o 1
8.3%
y 1
8.3%
Common
ValueCountFrequency (%)
) 14
46.7%
( 9
30.0%
7
23.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
79.0%
ASCII 42
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
9.5%
이 11
 
7.0%
스 10
 
6.3%
디 8
 
5.1%
에 6
 
3.8%
미 5
 
3.2%
사 4
 
2.5%
어 4
 
2.5%
회 4
 
2.5%
지 3
 
1.9%
Other values (67) 88
55.7%
ASCII
ValueCountFrequency (%)
) 14
33.3%
( 9
21.4%
7
16.7%
r 2
 
4.8%
a 2
 
4.8%
D 1
 
2.4%
e 1
 
2.4%
m 1
 
2.4%
F 1
 
2.4%
c 1
 
2.4%
Other values (3) 3
 
7.1%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2006-05-10 10:33:22
Maximum2023-08-24 15:11:28
2024-04-30T04:14:38.799610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:38.898737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
15 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 15
68.2%
U 7
31.8%

Length

2024-04-30T04:14:39.000621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:39.094752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 15
68.2%
u 7
31.8%

데이터갱신일자
Date

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 22:06:00
2024-04-30T04:14:39.172482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:14:39.260058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188266.69
Minimum185523.73
Maximum189357.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:14:39.358168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185523.73
5-th percentile186758.34
Q1187718.04
median188555.18
Q3188871.51
95-th percentile189303.03
Maximum189357.18
Range3833.4532
Interquartile range (IQR)1153.477

Descriptive statistics

Standard deviation915.55942
Coefficient of variation (CV)0.0048630982
Kurtosis2.5909247
Mean188266.69
Median Absolute Deviation (MAD)468.34954
Skewness-1.4654446
Sum4141867.3
Variance838249.05
MonotonicityNot monotonic
2024-04-30T04:14:39.469878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
188871.512837973 2
 
9.1%
188538.244361038 2
 
9.1%
188584.345447275 1
 
4.5%
188895.844080632 1
 
4.5%
187700.669454473 1
 
4.5%
189311.02246611 1
 
4.5%
189357.183570951 1
 
4.5%
187712.922828385 1
 
4.5%
188884.075622342 1
 
4.5%
188753.192363527 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
185523.730351846 1
4.5%
186723.502831215 1
4.5%
187420.182410651 1
4.5%
187531.38903074 1
4.5%
187700.669454473 1
4.5%
187712.922828385 1
4.5%
187733.374753349 1
4.5%
187943.072003678 1
4.5%
188528.332777101 1
4.5%
188538.244361038 2
9.1%
ValueCountFrequency (%)
189357.183570951 1
4.5%
189311.02246611 1
4.5%
189151.208015925 1
4.5%
188895.844080632 1
4.5%
188884.075622342 1
4.5%
188871.512837973 2
9.1%
188753.192363527 1
4.5%
188721.587416498 1
4.5%
188584.345447275 1
4.5%
188572.108662809 1
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447282.49
Minimum445569.64
Maximum449244.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:14:39.584723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445569.64
5-th percentile446076.94
Q1447138.85
median447311.92
Q3447476.28
95-th percentile448272.34
Maximum449244.34
Range3674.6992
Interquartile range (IQR)337.42264

Descriptive statistics

Standard deviation739.5178
Coefficient of variation (CV)0.0016533574
Kurtosis2.4303775
Mean447282.49
Median Absolute Deviation (MAD)166.70642
Skewness0.22775038
Sum9840214.9
Variance546886.58
MonotonicityNot monotonic
2024-04-30T04:14:39.687492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
447348.13213342 2
 
9.1%
447476.275717561 2
 
9.1%
447255.070457495 1
 
4.5%
447480.979609884 1
 
4.5%
446513.4690809 1
 
4.5%
448276.142483848 1
 
4.5%
449244.338687085 1
 
4.5%
447226.514655319 1
 
4.5%
447186.888604306 1
 
4.5%
447443.79970499 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
445569.639465968 1
4.5%
446053.959899297 1
4.5%
446513.4690809 1
4.5%
446695.979979397 1
4.5%
446899.612598453 1
4.5%
447122.841232235 1
4.5%
447186.888604306 1
4.5%
447198.912625565 1
4.5%
447226.514655319 1
4.5%
447255.070457495 1
4.5%
ValueCountFrequency (%)
449244.338687085 1
4.5%
448276.142483848 1
4.5%
448200.067716589 1
4.5%
447573.99002822 1
4.5%
447480.979609884 1
4.5%
447476.275717561 2
9.1%
447443.79970499 1
4.5%
447348.13213342 2
9.1%
447313.233230859 1
4.5%
447310.609246804 1
4.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
비디오물배급업
16 
<NA>
6 

Length

Max length7
Median length7
Mean length6.1818182
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 16
72.7%
<NA> 6
 
27.3%

Length

2024-04-30T04:14:39.981470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:40.073790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 16
72.7%
na 6
 
27.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
유통관련업
11 
<NA>
11 

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 11
50.0%
<NA> 11
50.0%

Length

2024-04-30T04:14:40.172617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:40.258819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 11
50.0%
na 11
50.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:40.361527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:40.450628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

제작취급품목내용
Text

MISSING 

Distinct8
Distinct (%)53.3%
Missing7
Missing (%)31.8%
Memory size308.0 B
2024-04-30T04:14:40.559930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length6.8666667
Min length4

Characters and Unicode

Total characters103
Distinct characters43
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)46.7%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 8
40.0%
3d애니메이션 1
 
5.0%
외화및 1
 
5.0%
해외방송프로그램 1
 
5.0%
영상,비디오물 1
 
5.0%
비디오물,dvd,영상물 1
 
5.0%
홍보 1
 
5.0%
및 1
 
5.0%
교육용 1
 
5.0%
영상 1
 
5.0%
Other values (3) 3
 
15.0%
2024-04-30T04:14:40.796563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 12
 
11.7%
디 11
 
10.7%
비 10
 
9.7%
오 10
 
9.7%
5
 
4.9%
영 4
 
3.9%
상 4
 
3.9%
D 3
 
2.9%
, 3
 
2.9%
보 3
 
2.9%
Other values (33) 38
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
85.4%
Space Separator 5
 
4.9%
Uppercase Letter 4
 
3.9%
Other Punctuation 3
 
2.9%
Open Punctuation 1
 
1.0%
Decimal Number 1
 
1.0%
Close Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 12
13.6%
디 11
 
12.5%
비 10
 
11.4%
오 10
 
11.4%
영 4
 
4.5%
상 4
 
4.5%
보 3
 
3.4%
방 2
 
2.3%
홍 2
 
2.3%
및 2
 
2.3%
Other values (26) 28
31.8%
Uppercase Letter
ValueCountFrequency (%)
D 3
75.0%
V 1
 
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88
85.4%
Common 11
 
10.7%
Latin 4
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 12
13.6%
디 11
 
12.5%
비 10
 
11.4%
오 10
 
11.4%
영 4
 
4.5%
상 4
 
4.5%
보 3
 
3.4%
방 2
 
2.3%
홍 2
 
2.3%
및 2
 
2.3%
Other values (26) 28
31.8%
Common
ValueCountFrequency (%)
5
45.5%
, 3
27.3%
( 1
 
9.1%
3 1
 
9.1%
) 1
 
9.1%
Latin
ValueCountFrequency (%)
D 3
75.0%
V 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88
85.4%
ASCII 15
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 12
13.6%
디 11
 
12.5%
비 10
 
11.4%
오 10
 
11.4%
영 4
 
4.5%
상 4
 
4.5%
보 3
 
3.4%
방 2
 
2.3%
홍 2
 
2.3%
및 2
 
2.3%
Other values (26) 28
31.8%
ASCII
ValueCountFrequency (%)
5
33.3%
D 3
20.0%
, 3
20.0%
( 1
 
6.7%
V 1
 
6.7%
3 1
 
6.7%
) 1
 
6.7%

시설면적
Categorical

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
17 
33.05
 
1
115.92
 
1
76.35
 
1
78.7
 
1

Length

Max length6
Median length4
Mean length4.2727273
Min length4

Unique

Unique5 ?
Unique (%)22.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
77.3%
33.05 1
 
4.5%
115.92 1
 
4.5%
76.35 1
 
4.5%
78.7 1
 
4.5%
116.37 1
 
4.5%

Length

2024-04-30T04:14:40.926876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:41.027217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
77.3%
33.05 1
 
4.5%
115.92 1
 
4.5%
76.35 1
 
4.5%
78.7 1
 
4.5%
116.37 1
 
4.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:41.157919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:41.257137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:41.353797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:41.448856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:41.551737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:41.634883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:41.723783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:41.814983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:41.918095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:42.017136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:42.102863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:42.187068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

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

Length

2024-04-30T04:14:42.293409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:14:42.389573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
0 1
 
4.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF124111200000000120000427<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2166-24<NA>158050서울특별시 양천구 목동 ***-**번지 현대드림타워 *층서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 *층)7995김천곤2007-01-11 16:51:59I2018-08-31 23:59:59.0<NA>188584.345447447255.070457비디오물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13140000CDFF124111200500000120050913<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158860서울특별시 양천구 신정동 ****-*번지 성배법조빌딩 *층서울특별시 양천구 신월로 *** (신정동,성배법조빌딩 *층)8021(주)삼우엠앤씨2006-08-17 20:37:07I2018-08-31 23:59:59.0<NA>187733.374753446695.979979비디오물배급업유통관련업<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>
23140000CDFF12411120050000022005-08-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-* 기독교방송국건물서울특별시 양천구 목동서로 ***-* (목동)7997주식회사 씨비에스미디어캐스트2023-08-24 15:11:28U2022-12-07 22:06:00.0<NA>188871.512838447348.132133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33140000CDFF124111200600000120060510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158819서울특별시 양천구 목동 ***-*번지 가인빌딩 ***호서울특별시 양천구 등촌로 *, ***호 (목동,가인빌딩)7966(주)나래디엔피2006-05-10 10:33:22I2018-08-31 23:59:59.0<NA>187943.072004447573.990028비디오물배급업유통관련업<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>
43140000CDFF124111200600000220060824<NA>1영업/정상13영업중<NA><NA><NA><NA>6405-8002<NA>158857서울특별시 양천구 신정동 ***-**번지 송우빌딩 *층서울특별시 양천구 중앙로**길 ** (신정동,송우빌딩 *층)7944이제이미디어2006-08-24 14:26:25I2018-08-31 23:59:59.0<NA>187420.182411447122.841232비디오물배급업유통관련업<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>
53140000CDFF124111200600000320060926<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2650-7000<NA>158050서울특별시 양천구 목동 ***-*번지서울특별시 양천구 목동서로 ***-* (목동)7997(재)기독교방송2006-09-26 09:51:01I2018-08-31 23:59:59.0<NA>188871.512838447348.132133비디오물배급업유통관련업<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>
63140000CDFF124111200600000420061103<NA>3폐업3폐업20081113<NA><NA><NA>02-2061-4571<NA>158050서울특별시 양천구 목동 ***번지 현대월드터워 ****호서울특별시 양천구 목동서로 **, ****호 (목동,현대월드터워)<NA>코루자무역2008-11-13 11:35:49I2018-08-31 23:59:59.0<NA>189151.208016448200.067717비디오물배급업유통관련업<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>
73140000CDFF124111200700000120070516<NA>1영업/정상13영업중<NA><NA><NA><NA>2653-5131<NA>158050서울특별시 양천구 목동 ***-**번지서울특별시 양천구 목동서로 *** (목동)7995주)이퍼블릭코리아2007-05-16 10:27:05I2018-08-31 23:59:59.0<NA>188528.332777447313.233231비디오물배급업유통관련업<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>
83140000CDFF124111200700000220070620<NA>1영업/정상13영업중<NA><NA><NA><NA>2603-0808<NA>158070서울특별시 양천구 신정동 ****번지 신트리테크노타운 ***호서울특별시 양천구 신정로 ***, ***호 (신정동,신트리테크노타운)8079주)디아이스페이스2007-06-20 10:37:37I2018-08-31 23:59:59.0<NA>186723.502831445569.639466비디오물배급업유통관련업<NA><NA>3D애니메이션<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93140000CDFF124111200700000320071023<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*번지 방송회관 *층서울특별시 양천구 목동동로 *** (목동, 방송회관 *층)7995주)유나이티드 미디어2012-06-21 09:20:14I2018-08-31 23:59:59.0<NA>188572.108663447198.912626비디오물배급업유통관련업<NA><NA>외화및 해외방송프로그램<NA><NA><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
123140000CDFF124111200900000220090310<NA>3폐업3폐업20111117<NA><NA><NA>2645-5880<NA><NA>서울특별시 양천구 목동 ***번지 목동파라곤 ***동 ***호서울특별시 양천구 목동서로 ***, ***동 ***호 (목동,목동파라곤)<NA>(주)디지털애플2011-12-07 16:00:09I2018-08-31 23:59:59.0<NA>188895.844081447480.97961비디오물배급업<NA><NA><NA>비디오물,DVD,영상물33.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133140000CDFF124111201200000120120511<NA>5제외/삭제/전출15전출20220816<NA><NA><NA>2684-1483<NA><NA>서울특별시 양천구 목동 *** kt정보전산센터 *층서울특별시 양천구 목동서로 *** (목동)158714(주)케이엠에이치2022-08-16 16:15:07U2021-12-07 23:08:00.0<NA>188538.244361447476.275718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
143140000CDFF124111201200000220120511<NA>5제외/삭제/전출15전출20220816<NA><NA><NA>2684-1483<NA><NA>서울특별시 양천구 목동 *** kt정보전산센터 *층서울특별시 양천구 목동서로 *** (목동)158714(주)케이엠에이치2022-08-16 16:15:54U2021-12-07 23:08:00.0<NA>188538.244361447476.275718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153140000CDFF124111201700000120170623<NA>3폐업3폐업20211231<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-* B***호서울특별시 양천구 신월로 ***, B***호 (신월동, 청송그린힐아파트)8044협동조합 희망업2022-01-13 18:53:07U2022-01-15 02:40:00.0<NA>185523.730352446053.959899비디오물배급업<NA><NA><NA>홍보 및 교육용 영상115.92<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163140000CDFF124111201800000120180403<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 *** 에스비에스방송센터서울특별시 양천구 목동서로 ***, 에스비에스방송센터 **층 (목동)7996(주)에스비에스디지털뉴스랩2021-09-11 10:35:32U2021-09-13 02:40:00.0<NA>188753.192364447443.799705비디오물배급업<NA><NA><NA>방송디지털영상물76.35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173140000CDFF12411120180000022017-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ****-* 법정빌딩서울특별시 양천구 신월로 ***, 법정빌딩 ***씨-**호 (신정동)8087(주)웨이트포유2023-06-07 17:53:30U2022-12-05 23:00:00.0<NA>188884.075622447186.888604<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183140000CDFF124111202100000120210218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-* B**호서울특별시 양천구 신정중앙로**길 *, B**호 (신정동)7938미디어스미스 주식회사2021-02-18 08:02:19I2021-02-20 00:23:02.0<NA>187712.922828447226.514655비디오물배급업<NA><NA><NA>정보통신업(홍보콘텐츠 등)78.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193140000CDFF124111202100000220210812<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 목동중앙로**나길 **, ***호 (목동)7969Dream Factory2021-08-12 15:48:16I2021-08-14 00:22:50.0<NA>189357.183571449244.338687비디오물배급업<NA>0<NA>비디오물116.3700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
203140000CDFF124111202200000120191128<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4350-4565<NA><NA>서울특별시 양천구 목동 ***-** 현대파리지앙 ***호서울특별시 양천구 목동서로 **, 현대파리지앙 ***호 (목동)7983주식회사 엔포지션2022-03-31 16:04:32I2021-12-04 00:02:00.0<NA>189311.022466448276.142484<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213140000CDFF12411120220000022022-12-15<NA>5제외/삭제/전출15전출2023-03-13<NA><NA><NA>02-416-0376<NA><NA>서울특별시 양천구 신정동 ****-*서울특별시 양천구 중앙로**길 **, *층 (신정동)8087(주) 에스엘랩2023-03-13 15:22:22U2022-12-02 23:05:00.0<NA>187700.669454446513.469081<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>