Overview

Dataset statistics

Number of variables56
Number of observations64
Missing cells1852
Missing cells (%)51.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.8 KiB
Average record size in memory492.1 B

Variable types

Categorical16
Text6
DateTime4
Unsupported26
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17746/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (72.7%)Imbalance
시설면적 is highly imbalanced (72.7%)Imbalance
지상층수 is highly imbalanced (72.7%)Imbalance
지하층수 is highly imbalanced (72.7%)Imbalance
통로너비 is highly imbalanced (72.7%)Imbalance
조명시설조도 is highly imbalanced (72.7%)Imbalance
노래방실수 is highly imbalanced (72.7%)Imbalance
청소년실수 is highly imbalanced (72.7%)Imbalance
총게임기수 is highly imbalanced (72.7%)Imbalance
인허가취소일자 has 64 (100.0%) missing valuesMissing
폐업일자 has 48 (75.0%) missing valuesMissing
휴업시작일자 has 64 (100.0%) missing valuesMissing
휴업종료일자 has 64 (100.0%) missing valuesMissing
재개업일자 has 64 (100.0%) missing valuesMissing
전화번호 has 46 (71.9%) missing valuesMissing
소재지면적 has 64 (100.0%) missing valuesMissing
소재지우편번호 has 56 (87.5%) missing valuesMissing
도로명주소 has 2 (3.1%) missing valuesMissing
도로명우편번호 has 17 (26.6%) missing valuesMissing
업태구분명 has 64 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.6%) missing valuesMissing
좌표정보(Y) has 1 (1.6%) missing valuesMissing
문화사업자구분명 has 64 (100.0%) missing valuesMissing
주변환경명 has 64 (100.0%) missing valuesMissing
제작취급품목내용 has 64 (100.0%) missing valuesMissing
건물용도명 has 64 (100.0%) missing valuesMissing
비상계단여부 has 64 (100.0%) missing valuesMissing
비상구여부 has 64 (100.0%) missing valuesMissing
자동환기여부 has 64 (100.0%) missing valuesMissing
청소년실여부 has 64 (100.0%) missing valuesMissing
특수조명여부 has 64 (100.0%) missing valuesMissing
방음시설여부 has 64 (100.0%) missing valuesMissing
비디오재생기명 has 64 (100.0%) missing valuesMissing
조명시설유무 has 64 (100.0%) missing valuesMissing
음향시설여부 has 64 (100.0%) missing valuesMissing
편의시설여부 has 64 (100.0%) missing valuesMissing
소방시설여부 has 64 (100.0%) missing valuesMissing
기존게임업외업종명 has 64 (100.0%) missing valuesMissing
제공게임물명 has 64 (100.0%) missing valuesMissing
공연장형태구분명 has 64 (100.0%) missing valuesMissing
품목명 has 64 (100.0%) missing valuesMissing
최초등록시점 has 17 (26.6%) missing valuesMissing
지역구분명 has 64 (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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:33:40.905283
Analysis finished2024-05-11 08:33:42.222230
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
3190000
64 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 64
100.0%

Length

2024-05-11T08:33:42.491442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:42.873881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 64
100.0%

관리번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T08:33:43.388055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1280
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

Unique64 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011999000001
2nd rowCDFF5211012000000001
3rd rowCDFF5211012003000001
4th rowCDFF5211012005000001
5th rowCDFF5211012007000001
ValueCountFrequency (%)
cdff5211011999000001 1
 
1.6%
cdff5211012000000001 1
 
1.6%
cdff5211012021000001 1
 
1.6%
cdff5211012017000002 1
 
1.6%
cdff5211012017000004 1
 
1.6%
cdff5211012017000005 1
 
1.6%
cdff5211012017000007 1
 
1.6%
cdff5211012018000001 1
 
1.6%
cdff5211012018000002 1
 
1.6%
cdff5211012019000001 1
 
1.6%
Other values (54) 54
84.4%
2024-05-11T08:33:44.489128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 465
36.3%
1 245
19.1%
2 169
 
13.2%
F 128
 
10.0%
5 75
 
5.9%
C 64
 
5.0%
D 64
 
5.0%
3 21
 
1.6%
4 19
 
1.5%
9 12
 
0.9%
Other values (3) 18
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1024
80.0%
Uppercase Letter 256
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 465
45.4%
1 245
23.9%
2 169
 
16.5%
5 75
 
7.3%
3 21
 
2.1%
4 19
 
1.9%
9 12
 
1.2%
7 7
 
0.7%
6 7
 
0.7%
8 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 128
50.0%
C 64
25.0%
D 64
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1024
80.0%
Latin 256
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 465
45.4%
1 245
23.9%
2 169
 
16.5%
5 75
 
7.3%
3 21
 
2.1%
4 19
 
1.9%
9 12
 
1.2%
7 7
 
0.7%
6 7
 
0.7%
8 4
 
0.4%
Latin
ValueCountFrequency (%)
F 128
50.0%
C 64
25.0%
D 64
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 465
36.3%
1 245
19.1%
2 169
 
13.2%
F 128
 
10.0%
5 75
 
5.9%
C 64
 
5.0%
D 64
 
5.0%
3 21
 
1.6%
4 19
 
1.5%
9 12
 
0.9%
Other values (3) 18
 
1.4%

인허가일자
Date

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum1999-10-07 00:00:00
Maximum2024-03-04 00:00:00
2024-05-11T08:33:44.911122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:33:45.562583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
1
48 
3
13 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 48
75.0%
3 13
 
20.3%
5 3
 
4.7%

Length

2024-05-11T08:33:46.214239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:46.602032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
75.0%
3 13
 
20.3%
5 3
 
4.7%

영업상태명
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업/정상
48 
폐업
13 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length4.53125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 48
75.0%
폐업 13
 
20.3%
제외/삭제/전출 3
 
4.7%

Length

2024-05-11T08:33:47.012868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:47.332610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 48
75.0%
폐업 13
 
20.3%
제외/삭제/전출 3
 
4.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
13
48 
3
13 
15
 
3

Length

Max length2
Median length2
Mean length1.796875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 48
75.0%
3 13
 
20.3%
15 3
 
4.7%

Length

2024-05-11T08:33:47.678837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:48.008897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 48
75.0%
3 13
 
20.3%
15 3
 
4.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업중
48 
폐업
13 
전출
 
3

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 48
75.0%
폐업 13
 
20.3%
전출 3
 
4.7%

Length

2024-05-11T08:33:48.337097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:48.683160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 48
75.0%
폐업 13
 
20.3%
전출 3
 
4.7%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing48
Missing (%)75.0%
Memory size644.0 B
Minimum2010-03-30 00:00:00
Maximum2024-02-20 00:00:00
2024-05-11T08:33:49.171936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:33:49.513798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing46
Missing (%)71.9%
Memory size644.0 B
2024-05-11T08:33:49.906570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length10.611111
Min length8

Characters and Unicode

Total characters191
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

Unique18 ?
Unique (%)100.0%

Sample

1st row816-8206
2nd row824-9879
3rd row3272-6030
4th row3280-6430
5th row070-7017-3321
ValueCountFrequency (%)
070-8276-4152 1
 
5.6%
3272-6030 1
 
5.6%
070-8197-7979 1
 
5.6%
0230146600 1
 
5.6%
02-586-3068 1
 
5.6%
050-7366-3833 1
 
5.6%
02-568-7002 1
 
5.6%
6203-1802 1
 
5.6%
02-525-7188 1
 
5.6%
816-8206 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T08:33:50.829743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35
18.3%
- 25
13.1%
7 20
10.5%
2 20
10.5%
3 18
9.4%
8 17
8.9%
1 16
8.4%
6 15
7.9%
5 12
 
6.3%
4 7
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 166
86.9%
Dash Punctuation 25
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
21.1%
7 20
12.0%
2 20
12.0%
3 18
10.8%
8 17
10.2%
1 16
9.6%
6 15
9.0%
5 12
 
7.2%
4 7
 
4.2%
9 6
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35
18.3%
- 25
13.1%
7 20
10.5%
2 20
10.5%
3 18
9.4%
8 17
8.9%
1 16
8.4%
6 15
7.9%
5 12
 
6.3%
4 7
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35
18.3%
- 25
13.1%
7 20
10.5%
2 20
10.5%
3 18
9.4%
8 17
8.9%
1 16
8.4%
6 15
7.9%
5 12
 
6.3%
4 7
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing56
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean156538.62
Minimum156033
Maximum156848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T08:33:51.388896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156033
5-th percentile156042.45
Q1156082.5
median156811
Q3156827.5
95-th percentile156841.35
Maximum156848
Range815
Interquartile range (IQR)745

Descriptive statistics

Standard deviation395.98338
Coefficient of variation (CV)0.0025296209
Kurtosis-2.214801
Mean156538.62
Median Absolute Deviation (MAD)27.5
Skewness-0.64627357
Sum1252309
Variance156802.84
MonotonicityNot monotonic
2024-05-11T08:33:51.916542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
156848 1
 
1.6%
156806 1
 
1.6%
156033 1
 
1.6%
156816 1
 
1.6%
156827 1
 
1.6%
156060 1
 
1.6%
156090 1
 
1.6%
156829 1
 
1.6%
(Missing) 56
87.5%
ValueCountFrequency (%)
156033 1
1.6%
156060 1
1.6%
156090 1
1.6%
156806 1
1.6%
156816 1
1.6%
156827 1
1.6%
156829 1
1.6%
156848 1
1.6%
ValueCountFrequency (%)
156848 1
1.6%
156829 1
1.6%
156827 1
1.6%
156816 1
1.6%
156806 1
1.6%
156090 1
1.6%
156060 1
1.6%
156033 1
1.6%

지번주소
Text

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T08:33:52.527676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length25.890625
Min length19

Characters and Unicode

Total characters1657
Distinct characters90
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

Unique54 ?
Unique (%)84.4%

Sample

1st row서울특별시 동작구 흑석동 *-**번지
2nd row서울특별시 동작구 상도동 **-**번지
3rd row서울특별시 동작구 신대방동 ***-*번지 대종빌딩 *층
4th row서울특별시 동작구 흑석동 **-***번지
5th row서울특별시 동작구 노량진동 ***-**번지
ValueCountFrequency (%)
서울특별시 64
20.8%
동작구 64
20.8%
번지 38
12.3%
사당동 27
8.8%
26
8.4%
호 16
 
5.2%
상도동 11
 
3.6%
대방동 7
 
2.3%
흑석동 7
 
2.3%
신대방동 7
 
2.3%
Other values (32) 41
13.3%
2024-05-11T08:33:53.678057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 367
22.1%
276
16.7%
동 132
 
8.0%
시 66
 
4.0%
서 64
 
3.9%
작 64
 
3.9%
울 64
 
3.9%
구 64
 
3.9%
별 64
 
3.9%
특 64
 
3.9%
Other values (80) 432
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 953
57.5%
Other Punctuation 367
 
22.1%
Space Separator 276
 
16.7%
Dash Punctuation 58
 
3.5%
Lowercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 132
13.9%
시 66
 
6.9%
서 64
 
6.7%
작 64
 
6.7%
울 64
 
6.7%
구 64
 
6.7%
별 64
 
6.7%
특 64
 
6.7%
지 43
 
4.5%
번 38
 
4.0%
Other values (74) 290
30.4%
Other Punctuation
ValueCountFrequency (%)
* 367
100.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 953
57.5%
Common 703
42.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 132
13.9%
시 66
 
6.9%
서 64
 
6.7%
작 64
 
6.7%
울 64
 
6.7%
구 64
 
6.7%
별 64
 
6.7%
특 64
 
6.7%
지 43
 
4.5%
번 38
 
4.0%
Other values (74) 290
30.4%
Common
ValueCountFrequency (%)
* 367
52.2%
276
39.3%
- 58
 
8.3%
( 1
 
0.1%
) 1
 
0.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 953
57.5%
ASCII 704
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 367
52.1%
276
39.2%
- 58
 
8.2%
e 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 132
13.9%
시 66
 
6.9%
서 64
 
6.7%
작 64
 
6.7%
울 64
 
6.7%
구 64
 
6.7%
별 64
 
6.7%
특 64
 
6.7%
지 43
 
4.5%
번 38
 
4.0%
Other values (74) 290
30.4%

도로명주소
Text

MISSING 

Distinct59
Distinct (%)95.2%
Missing2
Missing (%)3.1%
Memory size644.0 B
2024-05-11T08:33:54.466901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length35.145161
Min length26

Characters and Unicode

Total characters2179
Distinct characters127
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

Unique57 ?
Unique (%)91.9%

Sample

1st row서울특별시 동작구 여의대방로**길 ** (신대방동,대종빌딩 *층)
2nd row서울특별시 동작구 현충로**길 **-* (흑석동)
3rd row서울특별시 동작구 장승배기로**길 ** (노량진동)
4th row서울특별시 동작구 상도로**길 **, ***호 (상도동)
5th row서울특별시 동작구 동작대로 ** (사당동,골든시네마 *층)
ValueCountFrequency (%)
서울특별시 62
15.6%
62
15.6%
동작구 62
15.6%
호 28
 
7.1%
사당동 20
 
5.0%
층 16
 
4.0%
상도동 10
 
2.5%
대방동 7
 
1.8%
여의대방로**길 6
 
1.5%
흑석동 6
 
1.5%
Other values (77) 118
29.7%
2024-05-11T08:33:55.833515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 359
16.5%
350
16.1%
동 143
 
6.6%
, 74
 
3.4%
작 72
 
3.3%
시 64
 
2.9%
서 63
 
2.9%
) 63
 
2.9%
( 63
 
2.9%
울 62
 
2.8%
Other values (117) 866
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1256
57.6%
Other Punctuation 433
 
19.9%
Space Separator 350
 
16.1%
Close Punctuation 63
 
2.9%
Open Punctuation 63
 
2.9%
Dash Punctuation 11
 
0.5%
Uppercase Letter 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 143
 
11.4%
작 72
 
5.7%
시 64
 
5.1%
서 63
 
5.0%
울 62
 
4.9%
구 62
 
4.9%
별 62
 
4.9%
특 62
 
4.9%
로 57
 
4.5%
길 52
 
4.1%
Other values (108) 557
44.3%
Other Punctuation
ValueCountFrequency (%)
* 359
82.9%
, 74
 
17.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1256
57.6%
Common 920
42.2%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 143
 
11.4%
작 72
 
5.7%
시 64
 
5.1%
서 63
 
5.0%
울 62
 
4.9%
구 62
 
4.9%
별 62
 
4.9%
특 62
 
4.9%
로 57
 
4.5%
길 52
 
4.1%
Other values (108) 557
44.3%
Common
ValueCountFrequency (%)
* 359
39.0%
350
38.0%
, 74
 
8.0%
) 63
 
6.8%
( 63
 
6.8%
- 11
 
1.2%
Latin
ValueCountFrequency (%)
C 1
33.3%
e 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1256
57.6%
ASCII 923
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 359
38.9%
350
37.9%
, 74
 
8.0%
) 63
 
6.8%
( 63
 
6.8%
- 11
 
1.2%
C 1
 
0.1%
e 1
 
0.1%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 143
 
11.4%
작 72
 
5.7%
시 64
 
5.1%
서 63
 
5.0%
울 62
 
4.9%
구 62
 
4.9%
별 62
 
4.9%
특 62
 
4.9%
로 57
 
4.5%
길 52
 
4.1%
Other values (108) 557
44.3%

도로명우편번호
Text

MISSING 

Distinct38
Distinct (%)80.9%
Missing17
Missing (%)26.6%
Memory size644.0 B
2024-05-11T08:33:56.602988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2553191
Min length5

Characters and Unicode

Total characters247
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

Unique31 ?
Unique (%)66.0%

Sample

1st row156849
2nd row156858
3rd row156052
4th row156860
5th row156861
ValueCountFrequency (%)
07055 3
 
6.4%
07050 3
 
6.4%
07058 2
 
4.3%
07016 2
 
4.3%
06900 2
 
4.3%
07029 2
 
4.3%
07024 2
 
4.3%
07028 1
 
2.1%
07045 1
 
2.1%
07014 1
 
2.1%
Other values (28) 28
59.6%
2024-05-11T08:33:57.681056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
31.6%
7 32
13.0%
6 30
 
12.1%
5 29
 
11.7%
1 20
 
8.1%
9 17
 
6.9%
8 14
 
5.7%
2 13
 
5.3%
4 10
 
4.0%
3 3
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 246
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
31.7%
7 32
13.0%
6 30
 
12.2%
5 29
 
11.8%
1 20
 
8.1%
9 17
 
6.9%
8 14
 
5.7%
2 13
 
5.3%
4 10
 
4.1%
3 3
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
31.6%
7 32
13.0%
6 30
 
12.1%
5 29
 
11.7%
1 20
 
8.1%
9 17
 
6.9%
8 14
 
5.7%
2 13
 
5.3%
4 10
 
4.0%
3 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
31.6%
7 32
13.0%
6 30
 
12.1%
5 29
 
11.7%
1 20
 
8.1%
9 17
 
6.9%
8 14
 
5.7%
2 13
 
5.3%
4 10
 
4.0%
3 3
 
1.2%

사업장명
Text

Distinct61
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T08:33:58.577812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length8.578125
Min length3

Characters and Unicode

Total characters549
Distinct characters170
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)92.2%

Sample

1st row(주)옴니맥스
2nd row김희철캠프
3rd row마루엔터테인먼트(주)
4th row양피지필름
5th row(주)예음엔터테인먼트
ValueCountFrequency (%)
pictures 4
 
4.3%
풋인라이트 3
 
3.3%
주식회사 3
 
3.3%
필름 3
 
3.3%
주 2
 
2.2%
스튜디오 2
 
2.2%
영화사 2
 
2.2%
픽쳐스 2
 
2.2%
이타심컴퍼니 2
 
2.2%
주)유어스토리컴퍼니 1
 
1.1%
Other values (68) 68
73.9%
2024-05-11T08:34:00.192505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
5.5%
) 25
 
4.6%
( 24
 
4.4%
주 21
 
3.8%
이 19
 
3.5%
스 17
 
3.1%
트 9
 
1.6%
인 9
 
1.6%
프 9
 
1.6%
름 9
 
1.6%
Other values (160) 377
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
66.5%
Lowercase Letter 52
 
9.5%
Uppercase Letter 50
 
9.1%
Space Separator 30
 
5.5%
Close Punctuation 25
 
4.6%
Open Punctuation 24
 
4.4%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
5.8%
이 19
 
5.2%
스 17
 
4.7%
트 9
 
2.5%
인 9
 
2.5%
프 9
 
2.5%
름 9
 
2.5%
필 9
 
2.5%
디 8
 
2.2%
리 8
 
2.2%
Other values (118) 247
67.7%
Uppercase Letter
ValueCountFrequency (%)
P 5
 
10.0%
A 4
 
8.0%
I 4
 
8.0%
M 4
 
8.0%
T 3
 
6.0%
S 3
 
6.0%
F 3
 
6.0%
E 3
 
6.0%
D 3
 
6.0%
C 3
 
6.0%
Other values (10) 15
30.0%
Lowercase Letter
ValueCountFrequency (%)
i 6
11.5%
r 5
9.6%
u 5
9.6%
t 5
9.6%
o 4
7.7%
s 4
7.7%
e 4
7.7%
c 4
7.7%
a 3
 
5.8%
l 3
 
5.8%
Other values (6) 9
17.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
66.7%
Latin 102
 
18.6%
Common 81
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
5.7%
이 19
 
5.2%
스 17
 
4.6%
트 9
 
2.5%
인 9
 
2.5%
프 9
 
2.5%
름 9
 
2.5%
필 9
 
2.5%
디 8
 
2.2%
리 8
 
2.2%
Other values (119) 248
67.8%
Latin
ValueCountFrequency (%)
i 6
 
5.9%
r 5
 
4.9%
u 5
 
4.9%
t 5
 
4.9%
P 5
 
4.9%
o 4
 
3.9%
A 4
 
3.9%
I 4
 
3.9%
s 4
 
3.9%
e 4
 
3.9%
Other values (26) 56
54.9%
Common
ValueCountFrequency (%)
30
37.0%
) 25
30.9%
( 24
29.6%
- 1
 
1.2%
& 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
66.5%
ASCII 183
33.3%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
16.4%
) 25
 
13.7%
( 24
 
13.1%
i 6
 
3.3%
r 5
 
2.7%
u 5
 
2.7%
t 5
 
2.7%
P 5
 
2.7%
o 4
 
2.2%
A 4
 
2.2%
Other values (31) 70
38.3%
Hangul
ValueCountFrequency (%)
주 21
 
5.8%
이 19
 
5.2%
스 17
 
4.7%
트 9
 
2.5%
인 9
 
2.5%
프 9
 
2.5%
름 9
 
2.5%
필 9
 
2.5%
디 8
 
2.2%
리 8
 
2.2%
Other values (118) 247
67.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2010-05-07 14:08:35
Maximum2024-03-04 14:42:32
2024-05-11T08:34:00.732737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:34:01.154220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
I
48 
U
15 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
I 48
75.0%
U 15
 
23.4%
D 1
 
1.6%

Length

2024-05-11T08:34:01.602528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:01.927336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 48
75.0%
u 15
 
23.4%
d 1
 
1.6%

데이터갱신일자
Date

Distinct33
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:06:00
2024-05-11T08:34:02.466416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:34:02.871533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)87.3%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean195894.11
Minimum192216.94
Maximum198322.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T08:34:03.320294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192216.94
5-th percentile193030.02
Q1194026.35
median196471.48
Q3197768.89
95-th percentile198294.66
Maximum198322.99
Range6106.0452
Interquartile range (IQR)3742.5401

Descriptive statistics

Standard deviation1942.4415
Coefficient of variation (CV)0.0099157726
Kurtosis-1.5061864
Mean195894.11
Median Absolute Deviation (MAD)1741.1533
Skewness-0.23752504
Sum12341329
Variance3773078.9
MonotonicityNot monotonic
2024-05-11T08:34:03.768491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194119.753513436 3
 
4.7%
198295.843258378 2
 
3.1%
197919.336428811 2
 
3.1%
193012.686157255 2
 
3.1%
193489.152168976 2
 
3.1%
193300.832515956 2
 
3.1%
196122.678608319 2
 
3.1%
196798.898174825 1
 
1.6%
198239.714211935 1
 
1.6%
197771.09139877 1
 
1.6%
Other values (45) 45
70.3%
ValueCountFrequency (%)
192216.941709883 1
1.6%
192919.705571216 1
1.6%
193012.686157255 2
3.1%
193186.0736584 1
1.6%
193300.832515956 2
3.1%
193333.327454456 1
1.6%
193466.392066061 1
1.6%
193489.152168976 2
3.1%
193508.773577248 1
1.6%
193663.445637392 1
1.6%
ValueCountFrequency (%)
198322.986939768 1
1.6%
198316.072697764 1
1.6%
198295.843258378 2
3.1%
198283.995420571 1
1.6%
198261.626168303 1
1.6%
198239.714211935 1
1.6%
198217.275056369 1
1.6%
198212.63825788 1
1.6%
198212.129853751 1
1.6%
197919.336428811 2
3.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)87.3%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean443518.38
Minimum441543.54
Maximum445767.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T08:34:04.256477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441543.54
5-th percentile441669.35
Q1442461.79
median443583.91
Q3444555.48
95-th percentile445522.49
Maximum445767.13
Range4223.5944
Interquartile range (IQR)2093.6946

Descriptive statistics

Standard deviation1236.2823
Coefficient of variation (CV)0.0027874431
Kurtosis-1.021461
Mean443518.38
Median Absolute Deviation (MAD)1076.21
Skewness0.043305408
Sum27941658
Variance1528393.8
MonotonicityNot monotonic
2024-05-11T08:34:04.668693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443676.004155954 3
 
4.7%
442507.699069196 2
 
3.1%
442052.884170152 2
 
3.1%
443831.058609021 2
 
3.1%
445767.132034396 2
 
3.1%
443302.417672701 2
 
3.1%
444705.530165147 2
 
3.1%
445199.413762811 1
 
1.6%
441823.115522098 1
 
1.6%
441759.191586493 1
 
1.6%
Other values (45) 45
70.3%
ValueCountFrequency (%)
441543.537610587 1
1.6%
441595.660481209 1
1.6%
441606.177364885 1
1.6%
441666.591695118 1
1.6%
441694.12764417 1
1.6%
441709.042525728 1
1.6%
441759.191586493 1
1.6%
441818.305271548 1
1.6%
441823.115522098 1
1.6%
441906.165602076 1
1.6%
ValueCountFrequency (%)
445767.132034396 2
3.1%
445741.358460813 1
1.6%
445537.180196391 1
1.6%
445390.2846331 1
1.6%
445333.913309083 1
1.6%
445199.413762811 1
1.6%
445016.415458304 1
1.6%
444964.545021678 1
1.6%
444880.903466886 1
1.6%
444749.558494225 1
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
영화제작업
47 
<NA>
17 

Length

Max length5
Median length5
Mean length4.734375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 47
73.4%
<NA> 17
 
26.6%

Length

2024-05-11T08:34:05.077491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:05.399070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 47
73.4%
na 17
 
26.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:05.770637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:06.102708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:06.517215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:06.844755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:07.138404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:07.475636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:07.863027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:08.207146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:08.617807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:08.953407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:09.306775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:09.656245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:10.095161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:10.505922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:10.922710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:11.363254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
61 
0
 
3

Length

Max length4
Median length4
Mean length3.859375
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> 61
95.3%
0 3
 
4.7%

Length

2024-05-11T08:34:11.698872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:34:12.077150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
95.3%
0 3
 
4.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)100.0%
Missing17
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean20132182
Minimum19991007
Maximum20211229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T08:34:12.512509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991007
5-th percentile20037057
Q120090871
median20140602
Q320171004
95-th percentile20210519
Maximum20211229
Range220222
Interquartile range (IQR)80132.5

Descriptive statistics

Standard deviation54782.121
Coefficient of variation (CV)0.0027211218
Kurtosis-0.015663384
Mean20132182
Median Absolute Deviation (MAD)40279
Skewness-0.58374891
Sum9.4621258 × 108
Variance3.0010808 × 109
MonotonicityNot monotonic
2024-05-11T08:34:12.965247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
20000518 1
 
1.6%
20150306 1
 
1.6%
20150924 1
 
1.6%
20151229 1
 
1.6%
20150724 1
 
1.6%
20160224 1
 
1.6%
20160919 1
 
1.6%
20161017 1
 
1.6%
20170529 1
 
1.6%
20170801 1
 
1.6%
Other values (37) 37
57.8%
(Missing) 17
26.6%
ValueCountFrequency (%)
19991007 1
1.6%
20000518 1
1.6%
20031205 1
1.6%
20050711 1
1.6%
20071026 1
1.6%
20071220 1
1.6%
20080228 1
1.6%
20080520 1
1.6%
20090130 1
1.6%
20090428 1
1.6%
ValueCountFrequency (%)
20211229 1
1.6%
20211005 1
1.6%
20210525 1
1.6%
20210506 1
1.6%
20200630 1
1.6%
20200615 1
1.6%
20190905 1
1.6%
20190311 1
1.6%
20190123 1
1.6%
20180801 1
1.6%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03190000CDFF521101199900000119991007<NA>1영업/정상13영업중<NA><NA><NA><NA>816-8206<NA><NA>서울특별시 동작구 흑석동 *-**번지<NA><NA>(주)옴니맥스2010-05-07 14:32:07I2018-08-31 23:59:59.0<NA>196798.898175445199.413763영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991007<NA>
13190000CDFF521101200000000120000518<NA>1영업/정상13영업중<NA><NA><NA><NA>824-9879<NA><NA>서울특별시 동작구 상도동 **-**번지<NA><NA>김희철캠프2010-05-07 14:32:31I2018-08-31 23:59:59.0<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000518<NA>
23190000CDFF521101200300000120031205<NA>1영업/정상13영업중<NA><NA><NA><NA>3272-6030<NA>156848서울특별시 동작구 신대방동 ***-*번지 대종빌딩 *층서울특별시 동작구 여의대방로**길 ** (신대방동,대종빌딩 *층)<NA>마루엔터테인먼트(주)2010-05-07 14:08:35I2018-08-31 23:59:59.0<NA>193333.327454443949.726297영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20031205<NA>
33190000CDFF521101200500000120050711<NA>3폐업3폐업20100330<NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 **-***번지서울특별시 동작구 현충로**길 **-* (흑석동)<NA>양피지필름2010-05-10 15:18:17I2018-08-31 23:59:59.0<NA>197243.876224444665.104179영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050711<NA>
43190000CDFF521101200700000120071026<NA>1영업/정상13영업중<NA><NA><NA><NA>3280-6430<NA>156806서울특별시 동작구 노량진동 ***-**번지서울특별시 동작구 장승배기로**길 ** (노량진동)<NA>(주)예음엔터테인먼트2010-05-07 14:20:30I2018-08-31 23:59:59.0<NA>194743.727609444964.545022영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071026<NA>
53190000CDFF521101200700000220071220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>156033서울특별시 동작구 상도동 ***-***번지 ***호서울특별시 동작구 상도로**길 **, ***호 (상도동)<NA>윌마콤2010-05-07 14:25:18I2018-08-31 23:59:59.0<NA>193717.632483444535.737084영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071220<NA>
63190000CDFF521101200800000120080228<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-3321<NA>156816서울특별시 동작구 사당동 ***-**번지 골든시네마 *층서울특별시 동작구 동작대로 ** (사당동,골든시네마 *층)<NA>(주)씨에이엔2010-05-07 14:42:18I2018-08-31 23:59:59.0<NA>198295.843258442507.699069영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080228<NA>
73190000CDFF521101200800000220080520<NA>1영업/정상13영업중<NA><NA><NA><NA>2055-2547<NA>156827서울특별시 동작구 사당동 ****-**번지 옥암빌딩 *층서울특별시 동작구 남부순환로 **** (사당동,옥암빌딩 *층)<NA>(주)더그2010-05-07 14:48:03I2018-08-31 23:59:59.0<NA>197477.315759441543.537611영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080520<NA>
83190000CDFF521101200900000120090428<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 **-**번지 지하서울특별시 동작구 동작대로**가길 ** (사당동,지하)<NA>(주) 영화사 민들레2012-03-20 08:00:07I2018-08-31 23:59:59.0<NA>198316.072698443179.412908영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090428<NA>
93190000CDFF521101200900000220090612<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>156060서울특별시 동작구 본동 **-**번지서울특별시 동작구 노량진로**길 ** (본동)<NA>한룡프로덕션2010-05-07 14:57:10I2018-08-31 23:59:59.0<NA>195991.458769445333.913309영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090612<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
543190000CDFF521101202200000420221125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-***서울특별시 동작구 국사봉*길 ***, ***호 (상도동)07050풋인라이트2022-11-28 09:10:39D2021-10-31 21:00:00.0<NA>194119.753513443676.004156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553190000CDFF52110120220000052022-11-25<NA>3폐업3폐업2023-03-13<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-*** ***호서울특별시 동작구 국사봉*길 ***, ***호 (상도동)07050풋인라이트2023-03-28 10:37:35U2022-12-02 21:00:00.0<NA>194119.753513443676.004156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563190000CDFF52110120230000012023-02-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ***-*서울특별시 동작구 사당로**다길 **, ***호 (사당동)07009벤티지 필름 코리아2023-02-04 09:05:14I2022-12-02 00:06:00.0<NA>197208.91931442415.879175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573190000CDFF52110120230000022023-06-08<NA>5제외/삭제/전출15전출2023-12-08<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-**서울특별시 동작구 남부순환로***가길 ** (사당동)07023목탄 프로덕션(Moktan Productions)2023-12-08 16:31:04U2022-11-01 23:00:00.0<NA>197557.864488441606.177365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583190000CDFF52110120230000032023-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-** 예린빌리지서울특별시 동작구 여의대방로**길 **, ***호 (대방동, 예린빌리지)07055신표팩토리2023-06-28 18:19:04I2022-12-05 21:00:00.0<NA>193186.073658444140.633129<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593190000CDFF52110120230000042020-03-30<NA>3폐업3폐업2024-01-26<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-**서울특별시 동작구 사당로**길 ***, *층 (사당동)07025케이 엔터테인먼트2024-01-26 20:33:04U2023-11-30 22:08:00.0<NA>198212.638258441694.127644<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603190000CDFF52110120230000052023-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도*동 ***-*서울특별시 동작구 양녕로 ***-**, 지하*층 (상도*동)06965(주)이씨에스미디어2023-11-03 14:58:20I2022-11-01 00:05:00.0<NA>195228.451423444575.23039<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613190000CDFF52110120240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>050714831151<NA><NA>서울특별시 동작구 상도동 *** 상도동래미안(*차)아파트서울특별시 동작구 등용로 **, 지하*층 C-**호 (상도동, 상도동래미안(*차)아파트)06937호라스필름 주식회사2024-01-16 09:02:51I2023-11-30 23:08:00.0<NA>194219.201793444880.903467<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623190000CDFF52110120240000022024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 ***-**서울특별시 동작구 여의대방로**나길 **-*, *층 (신대방동)07058(주)스튜디오애니2024-02-21 20:08:40I2023-12-01 22:03:00.0<NA>193012.686157443831.058609<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633190000CDFF52110120240000032024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 ***-*서울특별시 동작구 신대방*길 **-* (신대방동)07066데드오프필름2024-03-04 14:42:32I2023-12-03 00:06:00.0<NA>192216.94171443006.523089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>