Overview

Dataset statistics

Number of variables56
Number of observations260
Missing cells7503
Missing cells (%)51.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory124.5 KiB
Average record size in memory490.5 B

Variable types

Categorical16
Text6
DateTime4
Unsupported27
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17745/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (61.3%)Imbalance
영업상태명 is highly imbalanced (61.3%)Imbalance
상세영업상태코드 is highly imbalanced (61.3%)Imbalance
상세영업상태명 is highly imbalanced (61.3%)Imbalance
인허가취소일자 has 260 (100.0%) missing valuesMissing
폐업일자 has 221 (85.0%) missing valuesMissing
휴업시작일자 has 260 (100.0%) missing valuesMissing
휴업종료일자 has 260 (100.0%) missing valuesMissing
재개업일자 has 260 (100.0%) missing valuesMissing
전화번호 has 115 (44.2%) missing valuesMissing
소재지면적 has 260 (100.0%) missing valuesMissing
소재지우편번호 has 260 (100.0%) missing valuesMissing
도로명주소 has 4 (1.5%) missing valuesMissing
도로명우편번호 has 85 (32.7%) missing valuesMissing
업태구분명 has 260 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.2%) missing valuesMissing
좌표정보(Y) has 3 (1.2%) missing valuesMissing
문화사업자구분명 has 260 (100.0%) missing valuesMissing
주변환경명 has 260 (100.0%) missing valuesMissing
제작취급품목내용 has 260 (100.0%) missing valuesMissing
건물용도명 has 260 (100.0%) missing valuesMissing
비상계단여부 has 260 (100.0%) missing valuesMissing
비상구여부 has 260 (100.0%) missing valuesMissing
자동환기여부 has 260 (100.0%) missing valuesMissing
청소년실여부 has 260 (100.0%) missing valuesMissing
특수조명여부 has 260 (100.0%) missing valuesMissing
방음시설여부 has 260 (100.0%) missing valuesMissing
비디오재생기명 has 260 (100.0%) missing valuesMissing
조명시설유무 has 260 (100.0%) missing valuesMissing
음향시설여부 has 260 (100.0%) missing valuesMissing
편의시설여부 has 260 (100.0%) missing valuesMissing
소방시설여부 has 260 (100.0%) missing valuesMissing
기존게임업외업종명 has 260 (100.0%) missing valuesMissing
제공게임물명 has 260 (100.0%) missing valuesMissing
공연장형태구분명 has 260 (100.0%) missing valuesMissing
품목명 has 260 (100.0%) missing valuesMissing
최초등록시점 has 52 (20.0%) missing valuesMissing
지역구분명 has 260 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:27:13.092486
Analysis finished2024-04-29 19:27:14.038947
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3180000
260 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 260
100.0%

Length

2024-04-30T04:27:14.103788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:14.193305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 260
100.0%

관리번호
Text

UNIQUE 

Distinct260
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-30T04:27:14.341166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5200
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

Unique260 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011987000001
2nd rowCDFF5211011997000002
3rd rowCDFF5211011999000001
4th rowCDFF5211011999000002
5th rowCDFF5211011999000003
ValueCountFrequency (%)
cdff5211011987000001 1
 
0.4%
cdff5211012017000012 1
 
0.4%
cdff5211012018000016 1
 
0.4%
cdff5211012018000002 1
 
0.4%
cdff5211012018000003 1
 
0.4%
cdff5211012018000004 1
 
0.4%
cdff5211012018000005 1
 
0.4%
cdff5211012018000006 1
 
0.4%
cdff5211012018000007 1
 
0.4%
cdff5211012018000008 1
 
0.4%
Other values (250) 250
96.2%
2024-04-30T04:27:14.602353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1830
35.2%
1 1054
20.3%
2 658
 
12.7%
F 520
 
10.0%
5 305
 
5.9%
C 260
 
5.0%
D 260
 
5.0%
9 77
 
1.5%
3 58
 
1.1%
4 57
 
1.1%
Other values (3) 121
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4160
80.0%
Uppercase Letter 1040
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1830
44.0%
1 1054
25.3%
2 658
 
15.8%
5 305
 
7.3%
9 77
 
1.9%
3 58
 
1.4%
4 57
 
1.4%
7 44
 
1.1%
8 41
 
1.0%
6 36
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 520
50.0%
C 260
25.0%
D 260
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4160
80.0%
Latin 1040
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1830
44.0%
1 1054
25.3%
2 658
 
15.8%
5 305
 
7.3%
9 77
 
1.9%
3 58
 
1.4%
4 57
 
1.4%
7 44
 
1.1%
8 41
 
1.0%
6 36
 
0.9%
Latin
ValueCountFrequency (%)
F 520
50.0%
C 260
25.0%
D 260
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1830
35.2%
1 1054
20.3%
2 658
 
12.7%
F 520
 
10.0%
5 305
 
5.9%
C 260
 
5.0%
D 260
 
5.0%
9 77
 
1.5%
3 58
 
1.1%
4 57
 
1.1%
Other values (3) 121
 
2.3%

인허가일자
Date

Distinct248
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1987-01-23 00:00:00
Maximum2028-06-20 00:00:00
2024-04-30T04:27:14.735878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:14.878096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
221 
3
27 
5
 
10
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 221
85.0%
3 27
 
10.4%
5 10
 
3.8%
4 2
 
0.8%

Length

2024-04-30T04:27:15.008347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:15.093004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 221
85.0%
3 27
 
10.4%
5 10
 
3.8%
4 2
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업/정상
221 
폐업
27 
제외/삭제/전출
 
10
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.8730769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 221
85.0%
폐업 27
 
10.4%
제외/삭제/전출 10
 
3.8%
취소/말소/만료/정지/중지 2
 
0.8%

Length

2024-04-30T04:27:15.193853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:15.283886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 221
85.0%
폐업 27
 
10.4%
제외/삭제/전출 10
 
3.8%
취소/말소/만료/정지/중지 2
 
0.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
13
221 
3
27 
15
 
10
35
 
2

Length

Max length2
Median length2
Mean length1.8961538
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 221
85.0%
3 27
 
10.4%
15 10
 
3.8%
35 2
 
0.8%

Length

2024-04-30T04:27:15.376986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:15.459433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 221
85.0%
3 27
 
10.4%
15 10
 
3.8%
35 2
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업중
221 
폐업
27 
전출
 
10
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8653846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 221
85.0%
폐업 27
 
10.4%
전출 10
 
3.8%
직권말소 2
 
0.8%

Length

2024-04-30T04:27:15.552938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:15.655048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 221
85.0%
폐업 27
 
10.4%
전출 10
 
3.8%
직권말소 2
 
0.8%

폐업일자
Date

MISSING 

Distinct38
Distinct (%)97.4%
Missing221
Missing (%)85.0%
Memory size2.2 KiB
Minimum2001-12-03 00:00:00
Maximum2024-04-11 00:00:00
2024-04-30T04:27:15.760363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:15.871438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct144
Distinct (%)99.3%
Missing115
Missing (%)44.2%
Memory size2.2 KiB
2024-04-30T04:27:16.084558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.17931
Min length8

Characters and Unicode

Total characters1476
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)98.6%

Sample

1st row789-5523
2nd row761-4780
3rd row783-0522
4th row3775-2567
5th row761-6774
ValueCountFrequency (%)
02-2090-7051 2
 
1.4%
02-332-6222 1
 
0.7%
070-4633-3338 1
 
0.7%
789-5523 1
 
0.7%
02-782-8870 1
 
0.7%
783-1833 1
 
0.7%
761-6135 1
 
0.7%
02-6335-4318 1
 
0.7%
070-7620-9706 1
 
0.7%
02-6094-5717 1
 
0.7%
Other values (134) 134
92.4%
2024-04-30T04:27:16.438235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 220
14.9%
0 211
14.3%
7 190
12.9%
2 179
12.1%
8 127
8.6%
3 121
8.2%
1 106
7.2%
6 97
6.6%
5 88
 
6.0%
4 76
 
5.1%
Other values (3) 61
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1252
84.8%
Dash Punctuation 220
 
14.9%
Close Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
16.9%
7 190
15.2%
2 179
14.3%
8 127
10.1%
3 121
9.7%
1 106
8.5%
6 97
7.7%
5 88
7.0%
4 76
 
6.1%
9 57
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 220
14.9%
0 211
14.3%
7 190
12.9%
2 179
12.1%
8 127
8.6%
3 121
8.2%
1 106
7.2%
6 97
6.6%
5 88
 
6.0%
4 76
 
5.1%
Other values (3) 61
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 220
14.9%
0 211
14.3%
7 190
12.9%
2 179
12.1%
8 127
8.6%
3 121
8.2%
1 106
7.2%
6 97
6.6%
5 88
 
6.0%
4 76
 
5.1%
Other values (3) 61
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

지번주소
Text

Distinct220
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-30T04:27:16.713004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length30.246154
Min length20

Characters and Unicode

Total characters7864
Distinct characters213
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

Unique198 ?
Unique (%)76.2%

Sample

1st row서울특별시 영등포구 여의도동 **번지
2nd row서울특별시 영등포구 여의도동 **-**번지 대성빌딩***호
3rd row서울특별시 영등포구 여의도동 **-**번지
4th row서울특별시 영등포구 여의도동 **-**번지 대산빌딩***호
5th row서울특별시 영등포구 여의도동 **-**번지 제일빌딩***-*호
ValueCountFrequency (%)
서울특별시 260
18.7%
영등포구 260
18.7%
번지 172
12.4%
여의도동 146
10.5%
92
 
6.6%
호 91
 
6.5%
당산동*가 34
 
2.4%
양평동*가 22
 
1.6%
문래동*가 19
 
1.4%
층 18
 
1.3%
Other values (169) 278
20.0%
2024-04-30T04:27:17.107764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1429
18.2%
1270
16.1%
동 285
 
3.6%
영 279
 
3.5%
포 279
 
3.5%
등 277
 
3.5%
시 269
 
3.4%
서 268
 
3.4%
울 265
 
3.4%
별 261
 
3.3%
Other values (203) 2982
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4924
62.6%
Other Punctuation 1434
 
18.2%
Space Separator 1270
 
16.1%
Dash Punctuation 187
 
2.4%
Uppercase Letter 29
 
0.4%
Lowercase Letter 18
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 285
 
5.8%
영 279
 
5.7%
포 279
 
5.7%
등 277
 
5.6%
시 269
 
5.5%
서 268
 
5.4%
울 265
 
5.4%
별 261
 
5.3%
특 260
 
5.3%
구 260
 
5.3%
Other values (178) 2221
45.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
17.2%
K 4
13.8%
V 4
13.8%
B 3
10.3%
R 2
 
6.9%
E 2
 
6.9%
W 2
 
6.9%
A 2
 
6.9%
T 1
 
3.4%
N 1
 
3.4%
Other values (3) 3
10.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
r 3
16.7%
n 3
16.7%
c 3
16.7%
t 3
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1429
99.7%
? 3
 
0.2%
, 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4924
62.6%
Common 2893
36.8%
Latin 47
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 285
 
5.8%
영 279
 
5.7%
포 279
 
5.7%
등 277
 
5.6%
시 269
 
5.5%
서 268
 
5.4%
울 265
 
5.4%
별 261
 
5.3%
특 260
 
5.3%
구 260
 
5.3%
Other values (178) 2221
45.1%
Latin
ValueCountFrequency (%)
e 6
12.8%
S 5
10.6%
K 4
 
8.5%
V 4
 
8.5%
r 3
 
6.4%
B 3
 
6.4%
n 3
 
6.4%
c 3
 
6.4%
t 3
 
6.4%
R 2
 
4.3%
Other values (8) 11
23.4%
Common
ValueCountFrequency (%)
* 1429
49.4%
1270
43.9%
- 187
 
6.5%
? 3
 
0.1%
, 2
 
0.1%
) 1
 
< 0.1%
( 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4924
62.6%
ASCII 2940
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1429
48.6%
1270
43.2%
- 187
 
6.4%
e 6
 
0.2%
S 5
 
0.2%
K 4
 
0.1%
V 4
 
0.1%
r 3
 
0.1%
? 3
 
0.1%
B 3
 
0.1%
Other values (15) 26
 
0.9%
Hangul
ValueCountFrequency (%)
동 285
 
5.8%
영 279
 
5.7%
포 279
 
5.7%
등 277
 
5.6%
시 269
 
5.5%
서 268
 
5.4%
울 265
 
5.4%
별 261
 
5.3%
특 260
 
5.3%
구 260
 
5.3%
Other values (178) 2221
45.1%

도로명주소
Text

MISSING 

Distinct244
Distinct (%)95.3%
Missing4
Missing (%)1.5%
Memory size2.2 KiB
2024-04-30T04:27:17.343623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length39.53125
Min length24

Characters and Unicode

Total characters10120
Distinct characters239
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)91.0%

Sample

1st row서울특별시 영등포구 **로 ** (여의도동)
2nd row서울특별시 영등포구 국회대로**길 ** (여의도동,대성빌딩***호)
3rd row서울특별시 영등포구 여의대방로**길 ** (여의도동)
4th row서울특별시 영등포구 국회대로**길 ** (여의도동,대산빌딩***호)
5th row서울특별시 영등포구 여의대방로 *** (여의도동,제일빌딩***-*호)
ValueCountFrequency (%)
266
15.4%
서울특별시 256
14.9%
영등포구 256
14.9%
호 153
 
8.9%
여의도동 84
 
4.9%
층 57
 
3.3%
국회대로**길 46
 
2.7%
당산동*가 34
 
2.0%
동 24
 
1.4%
양평동*가 20
 
1.2%
Other values (266) 527
30.6%
2024-04-30T04:27:17.675376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1738
 
17.2%
1542
 
15.2%
, 312
 
3.1%
동 309
 
3.1%
영 286
 
2.8%
포 282
 
2.8%
등 280
 
2.8%
서 266
 
2.6%
시 264
 
2.6%
로 260
 
2.6%
Other values (229) 4581
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5916
58.5%
Other Punctuation 2052
 
20.3%
Space Separator 1542
 
15.2%
Open Punctuation 257
 
2.5%
Close Punctuation 257
 
2.5%
Dash Punctuation 39
 
0.4%
Uppercase Letter 38
 
0.4%
Lowercase Letter 18
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 309
 
5.2%
영 286
 
4.8%
포 282
 
4.8%
등 280
 
4.7%
서 266
 
4.5%
시 264
 
4.5%
로 260
 
4.4%
울 259
 
4.4%
별 257
 
4.3%
특 256
 
4.3%
Other values (201) 3197
54.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
15.8%
S 5
13.2%
K 4
10.5%
A 4
10.5%
V 4
10.5%
E 2
 
5.3%
C 2
 
5.3%
I 2
 
5.3%
R 2
 
5.3%
W 2
 
5.3%
Other values (5) 5
13.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
c 3
16.7%
n 3
16.7%
t 3
16.7%
r 3
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1738
84.7%
, 312
 
15.2%
? 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1542
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5916
58.5%
Common 4148
41.0%
Latin 56
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 309
 
5.2%
영 286
 
4.8%
포 282
 
4.8%
등 280
 
4.7%
서 266
 
4.5%
시 264
 
4.5%
로 260
 
4.4%
울 259
 
4.4%
별 257
 
4.3%
특 256
 
4.3%
Other values (201) 3197
54.0%
Latin
ValueCountFrequency (%)
e 6
 
10.7%
B 6
 
10.7%
S 5
 
8.9%
K 4
 
7.1%
A 4
 
7.1%
V 4
 
7.1%
c 3
 
5.4%
n 3
 
5.4%
t 3
 
5.4%
r 3
 
5.4%
Other values (10) 15
26.8%
Common
ValueCountFrequency (%)
* 1738
41.9%
1542
37.2%
, 312
 
7.5%
( 257
 
6.2%
) 257
 
6.2%
- 39
 
0.9%
? 2
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5916
58.5%
ASCII 4204
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1738
41.3%
1542
36.7%
, 312
 
7.4%
( 257
 
6.1%
) 257
 
6.1%
- 39
 
0.9%
e 6
 
0.1%
B 6
 
0.1%
S 5
 
0.1%
K 4
 
0.1%
Other values (18) 38
 
0.9%
Hangul
ValueCountFrequency (%)
동 309
 
5.2%
영 286
 
4.8%
포 282
 
4.8%
등 280
 
4.7%
서 266
 
4.5%
시 264
 
4.5%
로 260
 
4.4%
울 259
 
4.4%
별 257
 
4.3%
특 256
 
4.3%
Other values (201) 3197
54.0%

도로명우편번호
Text

MISSING 

Distinct94
Distinct (%)53.7%
Missing85
Missing (%)32.7%
Memory size2.2 KiB
2024-04-30T04:27:17.918128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2742857
Min length5

Characters and Unicode

Total characters923
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

Unique58 ?
Unique (%)33.1%

Sample

1st row07236
2nd row07237
3rd row150732
4th row07291
5th row150933
ValueCountFrequency (%)
07238 11
 
6.3%
07333 10
 
5.7%
150010 7
 
4.0%
07256 7
 
4.0%
07236 5
 
2.9%
07237 4
 
2.3%
07217 4
 
2.3%
07345 4
 
2.3%
07319 4
 
2.3%
07263 3
 
1.7%
Other values (84) 116
66.3%
2024-04-30T04:27:18.267596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 230
24.9%
7 166
18.0%
2 119
12.9%
3 108
11.7%
1 86
 
9.3%
5 77
 
8.3%
8 45
 
4.9%
6 32
 
3.5%
9 30
 
3.3%
4 29
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 922
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 230
24.9%
7 166
18.0%
2 119
12.9%
3 108
11.7%
1 86
 
9.3%
5 77
 
8.4%
8 45
 
4.9%
6 32
 
3.5%
9 30
 
3.3%
4 29
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 923
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 230
24.9%
7 166
18.0%
2 119
12.9%
3 108
11.7%
1 86
 
9.3%
5 77
 
8.3%
8 45
 
4.9%
6 32
 
3.5%
9 30
 
3.3%
4 29
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 923
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 230
24.9%
7 166
18.0%
2 119
12.9%
3 108
11.7%
1 86
 
9.3%
5 77
 
8.3%
8 45
 
4.9%
6 32
 
3.5%
9 30
 
3.3%
4 29
 
3.1%

사업장명
Text

UNIQUE 

Distinct260
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-30T04:27:18.508862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length8.8576923
Min length2

Characters and Unicode

Total characters2303
Distinct characters315
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

Unique260 ?
Unique (%)100.0%

Sample

1st row한화호텔앤드리조트 주식회사
2nd row프로덕션원채널
3rd row코드원
4th row㈜한주월드시네마
5th row이이영작
ValueCountFrequency (%)
주식회사 68
 
17.8%
주 9
 
2.4%
film 5
 
1.3%
엔터테인먼트 4
 
1.0%
프로덕션 3
 
0.8%
필름 3
 
0.8%
픽쳐스 3
 
0.8%
스튜디오 3
 
0.8%
pictures 2
 
0.5%
battle 2
 
0.5%
Other values (278) 279
73.2%
2024-04-30T04:27:18.857625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 127
 
5.5%
121
 
5.3%
이 93
 
4.0%
스 84
 
3.6%
사 76
 
3.3%
회 71
 
3.1%
식 69
 
3.0%
( 65
 
2.8%
) 65
 
2.8%
㈜ 59
 
2.6%
Other values (305) 1473
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1828
79.4%
Space Separator 121
 
5.3%
Lowercase Letter 83
 
3.6%
Uppercase Letter 69
 
3.0%
Open Punctuation 65
 
2.8%
Close Punctuation 65
 
2.8%
Other Symbol 59
 
2.6%
Decimal Number 11
 
0.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 127
 
6.9%
이 93
 
5.1%
스 84
 
4.6%
사 76
 
4.2%
회 71
 
3.9%
식 69
 
3.8%
트 40
 
2.2%
디 39
 
2.1%
리 31
 
1.7%
엔 30
 
1.6%
Other values (252) 1168
63.9%
Lowercase Letter
ValueCountFrequency (%)
o 9
10.8%
e 8
 
9.6%
i 8
 
9.6%
l 7
 
8.4%
u 6
 
7.2%
m 5
 
6.0%
n 5
 
6.0%
s 5
 
6.0%
r 5
 
6.0%
t 4
 
4.8%
Other values (12) 21
25.3%
Uppercase Letter
ValueCountFrequency (%)
T 10
14.5%
A 8
11.6%
E 5
 
7.2%
M 5
 
7.2%
I 5
 
7.2%
F 5
 
7.2%
S 4
 
5.8%
R 3
 
4.3%
C 3
 
4.3%
P 3
 
4.3%
Other values (11) 18
26.1%
Decimal Number
ValueCountFrequency (%)
5 5
45.5%
1 3
27.3%
4 1
 
9.1%
6 1
 
9.1%
2 1
 
9.1%
Space Separator
ValueCountFrequency (%)
121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 59
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1887
81.9%
Common 264
 
11.5%
Latin 152
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 127
 
6.7%
이 93
 
4.9%
스 84
 
4.5%
사 76
 
4.0%
회 71
 
3.8%
식 69
 
3.7%
㈜ 59
 
3.1%
트 40
 
2.1%
디 39
 
2.1%
리 31
 
1.6%
Other values (253) 1198
63.5%
Latin
ValueCountFrequency (%)
T 10
 
6.6%
o 9
 
5.9%
e 8
 
5.3%
i 8
 
5.3%
A 8
 
5.3%
l 7
 
4.6%
u 6
 
3.9%
E 5
 
3.3%
M 5
 
3.3%
m 5
 
3.3%
Other values (33) 81
53.3%
Common
ValueCountFrequency (%)
121
45.8%
( 65
24.6%
) 65
24.6%
5 5
 
1.9%
1 3
 
1.1%
. 2
 
0.8%
4 1
 
0.4%
6 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1828
79.4%
ASCII 416
 
18.1%
None 59
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 127
 
6.9%
이 93
 
5.1%
스 84
 
4.6%
사 76
 
4.2%
회 71
 
3.9%
식 69
 
3.8%
트 40
 
2.2%
디 39
 
2.1%
리 31
 
1.7%
엔 30
 
1.6%
Other values (252) 1168
63.9%
ASCII
ValueCountFrequency (%)
121
29.1%
( 65
15.6%
) 65
15.6%
T 10
 
2.4%
o 9
 
2.2%
e 8
 
1.9%
i 8
 
1.9%
A 8
 
1.9%
l 7
 
1.7%
u 6
 
1.4%
Other values (42) 109
26.2%
None
ValueCountFrequency (%)
㈜ 59
100.0%

최종수정일자
Date

Distinct196
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2010-04-30 13:51:55
Maximum2024-04-11 14:54:50
2024-04-30T04:27:18.987067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:19.108425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
209 
U
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 209
80.4%
U 51
 
19.6%

Length

2024-04-30T04:27:19.229530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:19.315439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 209
80.4%
u 51
 
19.6%

데이터갱신일자
Date

Distinct93
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T04:27:19.408159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:19.533455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)61.5%
Missing3
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean192352.39
Minimum189826.26
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:27:19.840690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189826.26
5-th percentile190153.13
Q1190965.87
median192780.89
Q3193329.97
95-th percentile194530.54
Maximum194632.53
Range4806.2681
Interquartile range (IQR)2364.1046

Descriptive statistics

Standard deviation1329.6761
Coefficient of variation (CV)0.0069127089
Kurtosis-1.1227416
Mean192352.39
Median Absolute Deviation (MAD)913.77175
Skewness-0.26534384
Sum49434565
Variance1768038.5
MonotonicityNot monotonic
2024-04-30T04:27:19.968502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194530.535390096 11
 
4.2%
193694.665015597 7
 
2.7%
192747.419300064 7
 
2.7%
190586.062540107 6
 
2.3%
192959.271161366 6
 
2.3%
193818.18014 5
 
1.9%
192852.010701045 4
 
1.5%
190941.054351896 4
 
1.5%
193329.974382106 4
 
1.5%
193089.35913273 4
 
1.5%
Other values (148) 199
76.5%
ValueCountFrequency (%)
189826.258291104 1
 
0.4%
189895.908046452 1
 
0.4%
189921.671894763 2
0.8%
190023.48828661 1
 
0.4%
190063.218859643 1
 
0.4%
190079.219797466 1
 
0.4%
190107.95828772 1
 
0.4%
190146.79444215 2
0.8%
190148.374147923 1
 
0.4%
190153.128546656 3
1.2%
ValueCountFrequency (%)
194632.526367463 3
 
1.2%
194592.276750438 2
 
0.8%
194561.746032498 1
 
0.4%
194530.535390096 11
4.2%
193975.352607885 1
 
0.4%
193948.467449563 3
 
1.2%
193861.272368256 1
 
0.4%
193845.412704589 1
 
0.4%
193818.18014 5
1.9%
193808.969259588 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)61.5%
Missing3
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean446842.97
Minimum443068.01
Maximum448969.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:27:20.076317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443068.01
5-th percentile445299.4
Q1446364.32
median446990.76
Q3447484.88
95-th percentile448224.11
Maximum448969.33
Range5901.3239
Interquartile range (IQR)1120.5598

Descriptive statistics

Standard deviation949.68673
Coefficient of variation (CV)0.0021253254
Kurtosis2.7089302
Mean446842.97
Median Absolute Deviation (MAD)541.21387
Skewness-1.1211541
Sum1.1483864 × 108
Variance901904.89
MonotonicityNot monotonic
2024-04-30T04:27:20.196393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446306.787198089 11
 
4.2%
446449.546192539 7
 
2.7%
447054.988337321 7
 
2.7%
447216.925498911 6
 
2.3%
447637.656082358 6
 
2.3%
446332.089777304 5
 
1.9%
447460.202083329 4
 
1.5%
447628.862085473 4
 
1.5%
445737.514716371 4
 
1.5%
447463.303055433 4
 
1.5%
Other values (148) 199
76.5%
ValueCountFrequency (%)
443068.008897212 1
0.4%
443448.641062166 1
0.4%
443486.794675819 1
0.4%
443621.154018278 1
0.4%
443799.384456445 1
0.4%
444047.381783446 1
0.4%
444090.340549153 1
0.4%
444116.036858351 1
0.4%
444241.0 1
0.4%
444249.509444528 1
0.4%
ValueCountFrequency (%)
448969.332748012 1
 
0.4%
448779.57454276 3
1.2%
448642.112414847 2
0.8%
448495.794800958 1
 
0.4%
448436.126322646 1
 
0.4%
448346.67713835 1
 
0.4%
448343.615416017 1
 
0.4%
448319.276736178 1
 
0.4%
448256.783360781 1
 
0.4%
448224.111919951 2
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영화제작업
208 
<NA>
52 

Length

Max length5
Median length5
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:20.301166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:20.386065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 208
80.0%
na 52
 
20.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

총층수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:20.471663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:20.558435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:20.650598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:20.729925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

지상층수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:20.835302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:20.926995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

지하층수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:21.008134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:21.085217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

통로너비
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:21.165031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:21.245248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

조명시설조도
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:21.328211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:21.428493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

노래방실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:21.529918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:21.617206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

청소년실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:21.701543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:21.788389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
52 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
80.0%
<NA> 52
 
20.0%

Length

2024-04-30T04:27:21.878578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:21.989102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
80.0%
na 52
 
20.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)94.7%
Missing52
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean20010243
Minimum200628
Maximum20220128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:27:22.102413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200628
5-th percentile19991010
Q120051042
median20120766
Q320160360
95-th percentile20201049
Maximum20220128
Range20019500
Interquartile range (IQR)109317.25

Descriptive statistics

Standard deviation1381976.2
Coefficient of variation (CV)0.069063438
Kurtosis206.90818
Mean20010243
Median Absolute Deviation (MAD)50006
Skewness-14.365716
Sum4.1621306 × 109
Variance1.9098582 × 1012
MonotonicityNot monotonic
2024-04-30T04:27:22.225789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19991014 2
 
0.8%
20070115 2
 
0.8%
20020430 2
 
0.8%
20090423 2
 
0.8%
20150513 2
 
0.8%
20200306 2
 
0.8%
20110419 2
 
0.8%
20131108 2
 
0.8%
20141024 2
 
0.8%
20170324 2
 
0.8%
Other values (187) 188
72.3%
(Missing) 52
 
20.0%
ValueCountFrequency (%)
200628 1
0.4%
19870123 1
0.4%
19970321 1
0.4%
19990519 1
0.4%
19990528 1
0.4%
19990611 1
0.4%
19990720 1
0.4%
19990803 1
0.4%
19990831 1
0.4%
19990904 1
0.4%
ValueCountFrequency (%)
20220128 1
0.4%
20220120 1
0.4%
20220113 1
0.4%
20210929 1
0.4%
20210629 1
0.4%
20210604 1
0.4%
20210513 1
0.4%
20210506 1
0.4%
20210309 1
0.4%
20210217 1
0.4%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing260
Missing (%)100.0%
Memory size2.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF521101198700000119870123<NA>3폐업3폐업20150803<NA><NA><NA>789-5523<NA><NA>서울특별시 영등포구 여의도동 **번지서울특별시 영등포구 **로 ** (여의도동)<NA>한화호텔앤드리조트 주식회사2015-08-21 15:52:41I2018-08-31 23:59:59.0<NA>194632.526367446401.926526영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19870123<NA>
13180000CDFF521101199700000219970321<NA>1영업/정상13영업중<NA><NA><NA><NA>761-4780<NA><NA>서울특별시 영등포구 여의도동 **-**번지 대성빌딩***호서울특별시 영등포구 국회대로**길 ** (여의도동,대성빌딩***호)<NA>프로덕션원채널2010-04-30 13:51:56I2018-08-31 23:59:59.0<NA>192562.603704447240.55433영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19970321<NA>
23180000CDFF521101199900000119990519<NA>1영업/정상13영업중<NA><NA><NA><NA>783-0522<NA><NA>서울특별시 영등포구 여의도동 **-**번지서울특별시 영등포구 여의대방로**길 ** (여의도동)<NA>코드원2010-04-30 13:51:55I2018-08-31 23:59:59.0<NA>193658.473981446413.91771영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990519<NA>
33180000CDFF521101199900000219990528<NA>1영업/정상13영업중<NA><NA><NA><NA>3775-2567<NA><NA>서울특별시 영등포구 여의도동 **-**번지 대산빌딩***호서울특별시 영등포구 국회대로**길 ** (여의도동,대산빌딩***호)<NA>㈜한주월드시네마2010-04-30 13:51:55I2018-08-31 23:59:59.0<NA>192852.010701447460.202083영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990528<NA>
43180000CDFF521101199900000319990611<NA>1영업/정상13영업중<NA><NA><NA><NA>761-6774<NA><NA>서울특별시 영등포구 여의도동 **-**번지 제일빌딩***-*호서울특별시 영등포구 여의대방로 *** (여의도동,제일빌딩***-*호)<NA>이이영작2010-04-30 13:51:55I2018-08-31 23:59:59.0<NA>193818.18014446332.089777영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990611<NA>
53180000CDFF521101199900000419990720<NA>1영업/정상13영업중<NA><NA><NA><NA>02-782-5555<NA><NA>서울특별시 영등포구 여의도동 **-**번지서울특별시 영등포구 국회대로**길 *, 신태진빌딩 ***호 (여의도동)07236㈜제삼비전2018-12-28 18:55:09U2018-12-30 02:40:00.0<NA>192525.855541447287.521246영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990720<NA>
63180000CDFF521101199900000519990803<NA>1영업/정상13영업중<NA><NA><NA><NA>3775-4090<NA><NA>서울특별시 영등포구 여의도동 **-**번지 정우빌딩***호서울특별시 영등포구 은행로 ** (여의도동,정우빌딩***호)<NA>㈜빛과소리2010-04-30 13:51:55I2018-08-31 23:59:59.0<NA>193026.875747447427.783375영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990803<NA>
73180000CDFF521101199900000619990831<NA>1영업/정상13영업중<NA><NA><NA><NA>761-2387<NA><NA>서울특별시 영등포구 여의도동 **-*번지 라이프콤비***호서울특별시 영등포구 **로 ** (여의도동,라이프콤비***호)<NA>㈜미디어파크2010-04-30 13:51:55I2018-08-31 23:59:59.0<NA>194530.53539446306.787198영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19990831<NA>
83180000CDFF521101199900000719991008<NA>1영업/정상13영업중<NA><NA><NA><NA>784-9600<NA><NA>서울특별시 영등포구 여의도동 **-**번지 정우빌딩***호서울특별시 영등포구 은행로 ** (여의도동,정우빌딩***호)<NA>㈜내셔널지오컴2010-04-30 13:51:55I2018-08-31 23:59:59.0<NA>193026.875747447427.783375영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19991008<NA>
93180000CDFF521101199900000819991014<NA>1영업/정상13영업중<NA><NA><NA><NA>3776-1234<NA><NA>서울특별시 영등포구 여의도동 **-*번지 라이프콤비 ***호서울특별시 영등포구 **로 ** (여의도동,라이프콤비 ***호)<NA>㈜제네시스지2010-04-30 13:51:56I2018-08-31 23:59:59.0<NA>194530.53539446306.787198영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>19991014<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2503180000CDFF52110120230000132023-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 **-**서울특별시 영등포구 선유로*길 **, *층 ***호 (문래동*가)07286필름 뉴웨이브2023-08-29 14:34:48I2022-12-07 21:01:00.0<NA>189826.258291445962.369207<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2513180000CDFF52110120240000012024-01-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동*가 **-** 하스오토메이션코리아사옥서울특별시 영등포구 문래북로 **, 하스오토메이션코리아사옥 *층 (문래동*가)07294(주)브레드이발소2024-01-07 12:26:15I2023-12-01 00:09:00.0<NA>190338.372763446490.413723<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2523180000CDFF52110120240000022024-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 ****-* 부운빌딩서울특별시 영등포구 여의대방로**길 *-*, *층 (신길동, 부운빌딩)07319주식회사 레드파노라마2024-01-26 15:54:45I2023-11-30 22:08:00.0<NA>193329.974382445737.514716<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2533180000CDFF52110120240000032024-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 **** 삼성아파트서울특별시 영등포구 여의대방로 **, *동 ***호 (신길동, 삼성아파트)07435슬로스 픽쳐스2024-02-01 16:46:43I2023-12-02 00:03:00.0<NA>192076.991879443799.384456<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2543180000CDFF52110120240000042024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 *** 신길우성아파트서울특별시 영등포구 도신로 **, ***동 ***호 (신길동, 신길우성아파트)07380노토리어스 필름2024-02-13 17:11:14I2023-12-01 23:05:00.0<NA>191125.140615444794.964695<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2553180000CDFF52110120240000052024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 **** 삼성래미안아파트서울특별시 영등포구 가마산로**길 *, ***동 ****호 (신길동, 삼성래미안아파트)07362싱글라이더2024-02-15 17:06:39I2023-12-01 23:07:00.0<NA>192445.378089444797.921492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2563180000CDFF52110120240000062024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 **** 여의도리버뷰서울특별시 영등포구 여의대방로**길 **, ***호 (신길동, 여의도리버뷰)07319우주피스시네마2024-02-23 16:05:55I2023-12-01 22:05:00.0<NA>192965.447414446001.320809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2573180000CDFF52110120240000072017-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 ** 파크호텔서울특별시 영등포구 양평로 ***, 파크호텔 ***호 (양평동*가)07205(주)이웃집개구리스튜디오2024-02-27 13:53:41I2023-12-01 22:09:00.0<NA>190476.526523448495.794801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2583180000CDFF52110120240000082024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 ** 당산 삼성 래미안서울특별시 영등포구 당산로 ***, ***동 ****호 (당산동*가, 당산 삼성 래미안)07214주식회사 더블이2024-03-04 16:33:05I2023-12-03 00:06:00.0<NA>191362.376781447750.192654<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2593180000CDFF52110120240000092024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 ** 롯데캐슬엠파이어서울특별시 영등포구 의사당대로 ***, ***동 ****호 (여의도동, 롯데캐슬엠파이어)07331주식회사 파파스필름2024-04-04 10:36:42I2023-12-04 00:06:00.0<NA>193421.628256446448.157557<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>