Overview

Dataset statistics

Number of variables56
Number of observations1575
Missing cells41587
Missing cells (%)47.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory744.6 KiB
Average record size in memory484.1 B

Variable types

Categorical18
Text7
DateTime4
Unsupported21
Numeric6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17893/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태코드 is highly imbalanced (57.3%)Imbalance
상세영업상태명 is highly imbalanced (57.3%)Imbalance
휴업시작일자 is highly imbalanced (99.2%)Imbalance
휴업종료일자 is highly imbalanced (99.2%)Imbalance
주변환경명 is highly imbalanced (87.8%)Imbalance
건물용도명 is highly imbalanced (77.3%)Imbalance
통로너비 is highly imbalanced (79.1%)Imbalance
조명시설조도 is highly imbalanced (79.1%)Imbalance
노래방실수 is highly imbalanced (79.1%)Imbalance
청소년실수 is highly imbalanced (79.1%)Imbalance
총게임기수 is highly imbalanced (79.1%)Imbalance
지역구분명 is highly imbalanced (85.5%)Imbalance
인허가취소일자 has 1575 (100.0%) missing valuesMissing
폐업일자 has 1172 (74.4%) missing valuesMissing
재개업일자 has 1575 (100.0%) missing valuesMissing
전화번호 has 679 (43.1%) missing valuesMissing
소재지면적 has 1575 (100.0%) missing valuesMissing
소재지우편번호 has 795 (50.5%) missing valuesMissing
지번주소 has 16 (1.0%) missing valuesMissing
도로명주소 has 32 (2.0%) missing valuesMissing
도로명우편번호 has 506 (32.1%) missing valuesMissing
업태구분명 has 1575 (100.0%) missing valuesMissing
총층수 has 1346 (85.5%) missing valuesMissing
제작취급품목내용 has 1575 (100.0%) missing valuesMissing
시설면적 has 1179 (74.9%) missing valuesMissing
지상층수 has 1324 (84.1%) missing valuesMissing
지하층수 has 1433 (91.0%) missing valuesMissing
비상계단여부 has 1575 (100.0%) missing valuesMissing
비상구여부 has 1575 (100.0%) missing valuesMissing
자동환기여부 has 1575 (100.0%) missing valuesMissing
청소년실여부 has 1575 (100.0%) missing valuesMissing
특수조명여부 has 1575 (100.0%) missing valuesMissing
방음시설여부 has 1575 (100.0%) missing valuesMissing
비디오재생기명 has 1575 (100.0%) missing valuesMissing
조명시설유무 has 1575 (100.0%) missing valuesMissing
음향시설여부 has 1575 (100.0%) missing valuesMissing
편의시설여부 has 1575 (100.0%) missing valuesMissing
소방시설여부 has 1575 (100.0%) missing valuesMissing
기존게임업외업종명 has 1575 (100.0%) missing valuesMissing
제공게임물명 has 1575 (100.0%) missing valuesMissing
공연장형태구분명 has 1575 (100.0%) missing valuesMissing
품목명 has 1575 (100.0%) missing valuesMissing
최초등록시점 has 1575 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 61 (3.9%) zerosZeros
시설면적 has 57 (3.6%) zerosZeros
지상층수 has 61 (3.9%) zerosZeros
지하층수 has 106 (6.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:05:15.584779
Analysis finished2024-05-11 06:05:18.810094
Duration3.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
3160000
1575 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 1575
100.0%

Length

2024-05-11T06:05:19.031221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:19.412818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 1575
100.0%

관리번호
Text

UNIQUE 

Distinct1575
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2024-05-11T06:05:20.099239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters31500
Distinct characters14
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

Unique1575 ?
Unique (%)100.0%

Sample

1st rowCDFG1251001972000001
2nd rowCDFG1251001976000001
3rd rowCDFG1251001979000001
4th rowCDFG1251001987000002
5th rowCDFG1251001987000003
ValueCountFrequency (%)
cdfg1251001972000001 1
 
0.1%
cdfg1251002018000044 1
 
0.1%
cdfg1251002018000042 1
 
0.1%
cdfg1251002018000041 1
 
0.1%
cdfg1251002018000040 1
 
0.1%
cdfg1251002018000039 1
 
0.1%
cdfg1251002018000037 1
 
0.1%
cdfg1251002018000036 1
 
0.1%
cdfg1251002018000035 1
 
0.1%
cdfg1251002018000034 1
 
0.1%
Other values (1565) 1565
99.4%
2024-05-11T06:05:21.382746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11839
37.6%
1 4542
 
14.4%
2 3989
 
12.7%
5 2005
 
6.4%
C 1575
 
5.0%
D 1575
 
5.0%
F 1575
 
5.0%
G 1575
 
5.0%
9 556
 
1.8%
3 514
 
1.6%
Other values (4) 1755
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25200
80.0%
Uppercase Letter 6300
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11839
47.0%
1 4542
 
18.0%
2 3989
 
15.8%
5 2005
 
8.0%
9 556
 
2.2%
3 514
 
2.0%
4 474
 
1.9%
6 433
 
1.7%
8 431
 
1.7%
7 417
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
C 1575
25.0%
D 1575
25.0%
F 1575
25.0%
G 1575
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25200
80.0%
Latin 6300
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11839
47.0%
1 4542
 
18.0%
2 3989
 
15.8%
5 2005
 
8.0%
9 556
 
2.2%
3 514
 
2.0%
4 474
 
1.9%
6 433
 
1.7%
8 431
 
1.7%
7 417
 
1.7%
Latin
ValueCountFrequency (%)
C 1575
25.0%
D 1575
25.0%
F 1575
25.0%
G 1575
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11839
37.6%
1 4542
 
14.4%
2 3989
 
12.7%
5 2005
 
6.4%
C 1575
 
5.0%
D 1575
 
5.0%
F 1575
 
5.0%
G 1575
 
5.0%
9 556
 
1.8%
3 514
 
1.6%
Other values (4) 1755
 
5.6%
Distinct1331
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum1972-08-22 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T06:05:21.994019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:05:22.631451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
1
1129 
3
371 
5
 
74
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 1129
71.7%
3 371
 
23.6%
5 74
 
4.7%
2 1
 
0.1%

Length

2024-05-11T06:05:23.310332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:23.806461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1129
71.7%
3 371
 
23.6%
5 74
 
4.7%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
영업/정상
1129 
폐업
371 
제외/삭제/전출
 
74
휴업
 
1

Length

Max length8
Median length5
Mean length4.432381
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1129
71.7%
폐업 371
 
23.6%
제외/삭제/전출 74
 
4.7%
휴업 1
 
0.1%

Length

2024-05-11T06:05:24.426298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:24.848254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1129
71.7%
폐업 371
 
23.6%
제외/삭제/전출 74
 
4.7%
휴업 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
13
1119 
03
371 
15
 
74
14
 
9
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0012698
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row03

Common Values

ValueCountFrequency (%)
13 1119
71.0%
03 371
 
23.6%
15 74
 
4.7%
14 9
 
0.6%
BBBB 1
 
0.1%
02 1
 
0.1%

Length

2024-05-11T06:05:25.433076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:25.929452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1119
71.0%
03 371
 
23.6%
15 74
 
4.7%
14 9
 
0.6%
bbbb 1
 
0.1%
02 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
영업중
1119 
폐업
371 
전출
 
74
전입
 
9
<NA>
 
1

Length

Max length4
Median length3
Mean length2.711746
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1119
71.0%
폐업 371
 
23.6%
전출 74
 
4.7%
전입 9
 
0.6%
<NA> 1
 
0.1%
휴업 1
 
0.1%

Length

2024-05-11T06:05:26.458131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:26.828492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1119
71.0%
폐업 371
 
23.6%
전출 74
 
4.7%
전입 9
 
0.6%
na 1
 
0.1%
휴업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct345
Distinct (%)85.6%
Missing1172
Missing (%)74.4%
Memory size12.4 KiB
Minimum1999-01-28 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T06:05:27.218367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:05:28.463253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1574 
20160930
 
1

Length

Max length8
Median length4
Mean length4.0025397
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1574
99.9%
20160930 1
 
0.1%

Length

2024-05-11T06:05:29.043913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:29.395815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1574
99.9%
20160930 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1574 
20210929
 
1

Length

Max length8
Median length4
Mean length4.0025397
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1574
99.9%
20210929 1
 
0.1%

Length

2024-05-11T06:05:29.763201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:30.128490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1574
99.9%
20210929 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

전화번호
Text

MISSING 

Distinct840
Distinct (%)93.8%
Missing679
Missing (%)43.1%
Memory size12.4 KiB
2024-05-11T06:05:30.952533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.21875
Min length1

Characters and Unicode

Total characters9156
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique799 ?
Unique (%)89.2%

Sample

1st row855-1151
2nd row854-3385
3rd row636-2911
4th row862-2121
5th row866-9690
ValueCountFrequency (%)
3782-8831 5
 
0.6%
02 5
 
0.6%
02-2135-8301 4
 
0.4%
02-6293-6300 4
 
0.4%
02-333-2513 4
 
0.4%
02-2695-0512 4
 
0.4%
02-921-0653 3
 
0.3%
02-2060-5821 3
 
0.3%
02-517-0881 3
 
0.3%
02-2272-9939 2
 
0.2%
Other values (829) 859
95.9%
2024-05-11T06:05:32.592703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1356
14.8%
0 1343
14.7%
2 1203
13.1%
8 845
9.2%
6 813
8.9%
7 700
7.6%
1 682
7.4%
3 672
7.3%
5 610
6.7%
4 471
 
5.1%
Other values (4) 461
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7793
85.1%
Dash Punctuation 1356
 
14.8%
Close Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1343
17.2%
2 1203
15.4%
8 845
10.8%
6 813
10.4%
7 700
9.0%
1 682
8.8%
3 672
8.6%
5 610
7.8%
4 471
 
6.0%
9 454
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 1356
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1356
14.8%
0 1343
14.7%
2 1203
13.1%
8 845
9.2%
6 813
8.9%
7 700
7.6%
1 682
7.4%
3 672
7.3%
5 610
6.7%
4 471
 
5.1%
Other values (4) 461
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1356
14.8%
0 1343
14.7%
2 1203
13.1%
8 845
9.2%
6 813
8.9%
7 700
7.6%
1 682
7.4%
3 672
7.3%
5 610
6.7%
4 471
 
5.1%
Other values (4) 461
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

소재지우편번호
Text

MISSING 

Distinct156
Distinct (%)20.0%
Missing795
Missing (%)50.5%
Memory size12.4 KiB
2024-05-11T06:05:33.307320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0102564
Min length6

Characters and Unicode

Total characters4688
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

Unique55 ?
Unique (%)7.1%

Sample

1st row152873
2nd row152857
3rd row152866
4th row152838
5th row152803
ValueCountFrequency (%)
152848 103
 
13.2%
152838 31
 
4.0%
152842 26
 
3.3%
152880 24
 
3.1%
152858 22
 
2.8%
152847 20
 
2.6%
152719 17
 
2.2%
152843 16
 
2.1%
152826 14
 
1.8%
152865 14
 
1.8%
Other values (146) 493
63.2%
2024-05-11T06:05:34.505261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 915
19.5%
1 884
18.9%
2 867
18.5%
8 834
17.8%
7 309
 
6.6%
4 281
 
6.0%
0 206
 
4.4%
6 151
 
3.2%
9 125
 
2.7%
3 108
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4680
99.8%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 915
19.6%
1 884
18.9%
2 867
18.5%
8 834
17.8%
7 309
 
6.6%
4 281
 
6.0%
0 206
 
4.4%
6 151
 
3.2%
9 125
 
2.7%
3 108
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4688
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 915
19.5%
1 884
18.9%
2 867
18.5%
8 834
17.8%
7 309
 
6.6%
4 281
 
6.0%
0 206
 
4.4%
6 151
 
3.2%
9 125
 
2.7%
3 108
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 915
19.5%
1 884
18.9%
2 867
18.5%
8 834
17.8%
7 309
 
6.6%
4 281
 
6.0%
0 206
 
4.4%
6 151
 
3.2%
9 125
 
2.7%
3 108
 
2.3%

지번주소
Text

MISSING 

Distinct1000
Distinct (%)64.1%
Missing16
Missing (%)1.0%
Memory size12.4 KiB
2024-05-11T06:05:35.448990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length30.454779
Min length14

Characters and Unicode

Total characters47479
Distinct characters349
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique787 ?
Unique (%)50.5%

Sample

1st row서울특별시 구로구 구로동 ***-**번지
2nd row서울특별시 구로구 구로동 ***-***번지
3rd row서울특별시 구로구 구로동 ***-**번지 공구상가 B동 ***호
4th row서울특별시 구로구 구로동 **-*번지
5th row서울특별시 구로구 개봉동 **-**번지
ValueCountFrequency (%)
서울특별시 1555
18.2%
구로구 1537
18.0%
번지 1038
12.2%
구로동 1003
11.7%
734
8.6%
540
 
6.3%
145
 
1.7%
오류동 117
 
1.4%
신도림동 101
 
1.2%
개봉동 98
 
1.1%
Other values (600) 1672
19.6%
2024-05-11T06:05:36.899996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 10126
21.3%
7702
16.2%
4150
 
8.7%
2598
 
5.5%
1815
 
3.8%
1583
 
3.3%
1582
 
3.3%
1567
 
3.3%
1555
 
3.3%
1555
 
3.3%
Other values (339) 13246
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27961
58.9%
Other Punctuation 10159
 
21.4%
Space Separator 7702
 
16.2%
Dash Punctuation 1303
 
2.7%
Uppercase Letter 167
 
0.4%
Decimal Number 76
 
0.2%
Lowercase Letter 41
 
0.1%
Open Punctuation 23
 
< 0.1%
Close Punctuation 22
 
< 0.1%
Letter Number 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4150
14.8%
2598
 
9.3%
1815
 
6.5%
1583
 
5.7%
1582
 
5.7%
1567
 
5.6%
1555
 
5.6%
1555
 
5.6%
1242
 
4.4%
1041
 
3.7%
Other values (285) 9273
33.2%
Uppercase Letter
ValueCountFrequency (%)
B 45
26.9%
A 30
18.0%
T 18
 
10.8%
I 13
 
7.8%
E 8
 
4.8%
K 8
 
4.8%
G 8
 
4.8%
S 5
 
3.0%
R 4
 
2.4%
D 4
 
2.4%
Other values (10) 24
14.4%
Lowercase Letter
ValueCountFrequency (%)
e 13
31.7%
r 4
 
9.8%
o 4
 
9.8%
w 4
 
9.8%
c 3
 
7.3%
a 2
 
4.9%
p 2
 
4.9%
s 2
 
4.9%
b 2
 
4.9%
i 2
 
4.9%
Other values (2) 3
 
7.3%
Decimal Number
ValueCountFrequency (%)
1 19
25.0%
6 12
15.8%
2 11
14.5%
3 9
11.8%
0 7
 
9.2%
9 5
 
6.6%
5 4
 
5.3%
7 4
 
5.3%
8 3
 
3.9%
4 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
* 10126
99.7%
, 24
 
0.2%
/ 5
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
11
61.1%
7
38.9%
Space Separator
ValueCountFrequency (%)
7702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27961
58.9%
Common 19292
40.6%
Latin 226
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4150
14.8%
2598
 
9.3%
1815
 
6.5%
1583
 
5.7%
1582
 
5.7%
1567
 
5.6%
1555
 
5.6%
1555
 
5.6%
1242
 
4.4%
1041
 
3.7%
Other values (285) 9273
33.2%
Latin
ValueCountFrequency (%)
B 45
19.9%
A 30
13.3%
T 18
 
8.0%
e 13
 
5.8%
I 13
 
5.8%
11
 
4.9%
E 8
 
3.5%
K 8
 
3.5%
G 8
 
3.5%
7
 
3.1%
Other values (24) 65
28.8%
Common
ValueCountFrequency (%)
* 10126
52.5%
7702
39.9%
- 1303
 
6.8%
, 24
 
0.1%
( 23
 
0.1%
) 22
 
0.1%
1 19
 
0.1%
6 12
 
0.1%
2 11
 
0.1%
3 9
 
< 0.1%
Other values (10) 41
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27961
58.9%
ASCII 19500
41.1%
Number Forms 18
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 10126
51.9%
7702
39.5%
- 1303
 
6.7%
B 45
 
0.2%
A 30
 
0.2%
, 24
 
0.1%
( 23
 
0.1%
) 22
 
0.1%
1 19
 
0.1%
T 18
 
0.1%
Other values (42) 188
 
1.0%
Hangul
ValueCountFrequency (%)
4150
14.8%
2598
 
9.3%
1815
 
6.5%
1583
 
5.7%
1582
 
5.7%
1567
 
5.6%
1555
 
5.6%
1555
 
5.6%
1242
 
4.4%
1041
 
3.7%
Other values (285) 9273
33.2%
Number Forms
ValueCountFrequency (%)
11
61.1%
7
38.9%

도로명주소
Text

MISSING 

Distinct1171
Distinct (%)75.9%
Missing32
Missing (%)2.0%
Memory size12.4 KiB
2024-05-11T06:05:37.763945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length39.400518
Min length22

Characters and Unicode

Total characters60795
Distinct characters369
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique975 ?
Unique (%)63.2%

Sample

1st row서울특별시 구로구 구로동로**길 **-* (구로동)
2nd row서울특별시 구로구 구로동로**가길 ** (구로동)
3rd row서울특별시 구로구 경인로**길 *, B동 ***호 (구로동, 공구상가)
4th row서울특별시 구로구 공원로 ** (구로동)
5th row서울특별시 구로구 고척로**길 *-** (개봉동)
ValueCountFrequency (%)
1559
14.9%
서울특별시 1540
14.7%
구로구 1525
14.5%
1082
 
10.3%
구로동 717
 
6.8%
디지털로**길 428
 
4.1%
261
 
2.5%
238
 
2.3%
디지털로 118
 
1.1%
오류동 91
 
0.9%
Other values (863) 2939
28.0%
2024-05-11T06:05:39.168390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11298
18.6%
9323
15.3%
4302
 
7.1%
4270
 
7.0%
, 2010
 
3.3%
1994
 
3.3%
1589
 
2.6%
1580
 
2.6%
) 1563
 
2.6%
( 1563
 
2.6%
Other values (359) 21303
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34292
56.4%
Other Punctuation 13318
 
21.9%
Space Separator 9323
 
15.3%
Close Punctuation 1563
 
2.6%
Open Punctuation 1563
 
2.6%
Dash Punctuation 324
 
0.5%
Uppercase Letter 215
 
0.4%
Decimal Number 110
 
0.2%
Lowercase Letter 45
 
0.1%
Letter Number 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4302
 
12.5%
4270
 
12.5%
1994
 
5.8%
1589
 
4.6%
1580
 
4.6%
1553
 
4.5%
1540
 
4.5%
1540
 
4.5%
1196
 
3.5%
1020
 
3.0%
Other values (303) 13708
40.0%
Uppercase Letter
ValueCountFrequency (%)
B 57
26.5%
A 39
18.1%
T 20
 
9.3%
I 16
 
7.4%
K 12
 
5.6%
S 9
 
4.2%
E 9
 
4.2%
G 8
 
3.7%
R 6
 
2.8%
D 5
 
2.3%
Other values (12) 34
15.8%
Lowercase Letter
ValueCountFrequency (%)
e 14
31.1%
b 4
 
8.9%
w 4
 
8.9%
r 4
 
8.9%
o 4
 
8.9%
c 3
 
6.7%
p 3
 
6.7%
i 2
 
4.4%
s 2
 
4.4%
a 2
 
4.4%
Other values (2) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 31
28.2%
0 19
17.3%
2 12
 
10.9%
6 11
 
10.0%
3 10
 
9.1%
4 8
 
7.3%
5 8
 
7.3%
7 5
 
4.5%
8 5
 
4.5%
9 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
* 11298
84.8%
, 2010
 
15.1%
/ 5
 
< 0.1%
. 4
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
14
63.6%
8
36.4%
Space Separator
ValueCountFrequency (%)
9323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1563
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 324
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34292
56.4%
Common 26221
43.1%
Latin 282
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4302
 
12.5%
4270
 
12.5%
1994
 
5.8%
1589
 
4.6%
1580
 
4.6%
1553
 
4.5%
1540
 
4.5%
1540
 
4.5%
1196
 
3.5%
1020
 
3.0%
Other values (303) 13708
40.0%
Latin
ValueCountFrequency (%)
B 57
20.2%
A 39
13.8%
T 20
 
7.1%
I 16
 
5.7%
14
 
5.0%
e 14
 
5.0%
K 12
 
4.3%
S 9
 
3.2%
E 9
 
3.2%
8
 
2.8%
Other values (26) 84
29.8%
Common
ValueCountFrequency (%)
* 11298
43.1%
9323
35.6%
, 2010
 
7.7%
) 1563
 
6.0%
( 1563
 
6.0%
- 324
 
1.2%
1 31
 
0.1%
~ 20
 
0.1%
0 19
 
0.1%
2 12
 
< 0.1%
Other values (10) 58
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34292
56.4%
ASCII 26481
43.6%
Number Forms 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11298
42.7%
9323
35.2%
, 2010
 
7.6%
) 1563
 
5.9%
( 1563
 
5.9%
- 324
 
1.2%
B 57
 
0.2%
A 39
 
0.1%
1 31
 
0.1%
T 20
 
0.1%
Other values (44) 253
 
1.0%
Hangul
ValueCountFrequency (%)
4302
 
12.5%
4270
 
12.5%
1994
 
5.8%
1589
 
4.6%
1580
 
4.6%
1553
 
4.5%
1540
 
4.5%
1540
 
4.5%
1196
 
3.5%
1020
 
3.0%
Other values (303) 13708
40.0%
Number Forms
ValueCountFrequency (%)
14
63.6%
8
36.4%

도로명우편번호
Text

MISSING 

Distinct252
Distinct (%)23.6%
Missing506
Missing (%)32.1%
Memory size12.4 KiB
2024-05-11T06:05:40.126733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2647334
Min length5

Characters and Unicode

Total characters5628
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

Unique82 ?
Unique (%)7.7%

Sample

1st row152873
2nd row152857
3rd row152866
4th row152880
5th row152838
ValueCountFrequency (%)
08390 65
 
6.1%
08377 39
 
3.6%
08378 33
 
3.1%
08389 31
 
2.9%
08393 30
 
2.8%
08380 27
 
2.5%
08381 26
 
2.4%
08375 25
 
2.3%
08376 23
 
2.2%
08271 18
 
1.7%
Other values (242) 752
70.3%
2024-05-11T06:05:41.653691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1220
21.7%
0 1070
19.0%
2 719
12.8%
3 632
11.2%
5 471
 
8.4%
1 462
 
8.2%
7 429
 
7.6%
9 279
 
5.0%
6 183
 
3.3%
4 158
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5623
99.9%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1220
21.7%
0 1070
19.0%
2 719
12.8%
3 632
11.2%
5 471
 
8.4%
1 462
 
8.2%
7 429
 
7.6%
9 279
 
5.0%
6 183
 
3.3%
4 158
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1220
21.7%
0 1070
19.0%
2 719
12.8%
3 632
11.2%
5 471
 
8.4%
1 462
 
8.2%
7 429
 
7.6%
9 279
 
5.0%
6 183
 
3.3%
4 158
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1220
21.7%
0 1070
19.0%
2 719
12.8%
3 632
11.2%
5 471
 
8.4%
1 462
 
8.2%
7 429
 
7.6%
9 279
 
5.0%
6 183
 
3.3%
4 158
 
2.8%
Distinct1538
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2024-05-11T06:05:42.516314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length7.6120635
Min length1

Characters and Unicode

Total characters11989
Distinct characters700
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1501 ?
Unique (%)95.3%

Sample

1st row중앙적성출판사
2nd row도서출판 명성출판사
3rd row'법문북스'로 출판사 명칭 변경
4th row(주)화광신문사
5th row도서출판 말씀출판사
ValueCountFrequency (%)
도서출판 167
 
7.7%
주식회사 125
 
5.8%
출판사 14
 
0.6%
미디어 13
 
0.6%
7
 
0.3%
스튜디오 7
 
0.3%
북스 6
 
0.3%
주)디앤씨미디어 5
 
0.2%
5
 
0.2%
사단법인 5
 
0.2%
Other values (1736) 1817
83.7%
2024-05-11T06:05:43.953835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
597
 
5.0%
509
 
4.2%
) 454
 
3.8%
( 447
 
3.7%
324
 
2.7%
297
 
2.5%
292
 
2.4%
289
 
2.4%
276
 
2.3%
239
 
2.0%
Other values (690) 8265
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9432
78.7%
Space Separator 597
 
5.0%
Lowercase Letter 566
 
4.7%
Close Punctuation 455
 
3.8%
Open Punctuation 448
 
3.7%
Uppercase Letter 407
 
3.4%
Decimal Number 37
 
0.3%
Other Punctuation 35
 
0.3%
Dash Punctuation 10
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
509
 
5.4%
324
 
3.4%
297
 
3.1%
292
 
3.1%
289
 
3.1%
276
 
2.9%
239
 
2.5%
219
 
2.3%
170
 
1.8%
167
 
1.8%
Other values (618) 6650
70.5%
Uppercase Letter
ValueCountFrequency (%)
S 29
 
7.1%
E 29
 
7.1%
T 28
 
6.9%
A 27
 
6.6%
C 25
 
6.1%
O 24
 
5.9%
M 22
 
5.4%
N 21
 
5.2%
P 21
 
5.2%
B 19
 
4.7%
Other values (16) 162
39.8%
Lowercase Letter
ValueCountFrequency (%)
e 66
11.7%
i 56
 
9.9%
o 53
 
9.4%
r 45
 
8.0%
s 39
 
6.9%
t 38
 
6.7%
a 37
 
6.5%
n 32
 
5.7%
d 28
 
4.9%
u 25
 
4.4%
Other values (15) 147
26.0%
Decimal Number
ValueCountFrequency (%)
1 10
27.0%
2 7
18.9%
4 5
13.5%
7 4
 
10.8%
0 4
 
10.8%
3 4
 
10.8%
9 2
 
5.4%
5 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
' 12
34.3%
. 10
28.6%
& 8
22.9%
, 2
 
5.7%
: 2
 
5.7%
/ 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 454
99.8%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 447
99.8%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9407
78.5%
Common 1582
 
13.2%
Latin 973
 
8.1%
Han 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
509
 
5.4%
324
 
3.4%
297
 
3.2%
292
 
3.1%
289
 
3.1%
276
 
2.9%
239
 
2.5%
219
 
2.3%
170
 
1.8%
167
 
1.8%
Other values (599) 6625
70.4%
Latin
ValueCountFrequency (%)
e 66
 
6.8%
i 56
 
5.8%
o 53
 
5.4%
r 45
 
4.6%
s 39
 
4.0%
t 38
 
3.9%
a 37
 
3.8%
n 32
 
3.3%
S 29
 
3.0%
E 29
 
3.0%
Other values (41) 549
56.4%
Common
ValueCountFrequency (%)
597
37.7%
) 454
28.7%
( 447
28.3%
' 12
 
0.8%
- 10
 
0.6%
. 10
 
0.6%
1 10
 
0.6%
& 8
 
0.5%
2 7
 
0.4%
4 5
 
0.3%
Other values (10) 22
 
1.4%
Han
ValueCountFrequency (%)
4
 
14.8%
3
 
11.1%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (10) 10
37.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9402
78.4%
ASCII 2553
 
21.3%
CJK 27
 
0.2%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
597
23.4%
) 454
17.8%
( 447
17.5%
e 66
 
2.6%
i 56
 
2.2%
o 53
 
2.1%
r 45
 
1.8%
s 39
 
1.5%
t 38
 
1.5%
a 37
 
1.4%
Other values (59) 721
28.2%
Hangul
ValueCountFrequency (%)
509
 
5.4%
324
 
3.4%
297
 
3.2%
292
 
3.1%
289
 
3.1%
276
 
2.9%
239
 
2.5%
219
 
2.3%
170
 
1.8%
167
 
1.8%
Other values (595) 6620
70.4%
CJK
ValueCountFrequency (%)
4
 
14.8%
3
 
11.1%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (10) 10
37.0%
None
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct1496
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum2003-04-18 15:20:43
Maximum2024-05-08 16:47:00
2024-05-11T06:05:44.513525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:05:45.019559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
I
1216 
U
359 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1216
77.2%
U 359
 
22.8%

Length

2024-05-11T06:05:45.640217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:46.064487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1216
77.2%
u 359
 
22.8%
Distinct517
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T06:05:46.568534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:05:47.166548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct650
Distinct (%)41.7%
Missing15
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean189235.09
Minimum180693.19
Maximum204612.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2024-05-11T06:05:47.949512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180693.19
5-th percentile184947.72
Q1187826.7
median190156.4
Q3190594.9
95-th percentile190967.26
Maximum204612.72
Range23919.526
Interquartile range (IQR)2768.2065

Descriptive statistics

Standard deviation2156.1129
Coefficient of variation (CV)0.011393833
Kurtosis4.766202
Mean189235.09
Median Absolute Deviation (MAD)590.04576
Skewness-0.14909376
Sum2.9520674 × 108
Variance4648822.8
MonotonicityNot monotonic
2024-05-11T06:05:48.540193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190680.536850936 36
 
2.3%
191020.264430044 32
 
2.0%
190609.413674522 31
 
2.0%
190776.468544178 27
 
1.7%
190461.790473157 25
 
1.6%
190005.132500398 23
 
1.5%
190479.902194476 23
 
1.5%
190594.904645635 19
 
1.2%
190822.851419439 18
 
1.1%
190107.045415333 17
 
1.1%
Other values (640) 1309
83.1%
ValueCountFrequency (%)
180693.193558574 1
 
0.1%
183560.803834883 1
 
0.1%
183690.902241778 1
 
0.1%
183706.576268975 1
 
0.1%
183717.389594075 3
0.2%
183738.799603509 1
 
0.1%
183746.686550444 5
0.3%
183807.118188697 1
 
0.1%
183815.551246462 1
 
0.1%
183954.132777475 1
 
0.1%
ValueCountFrequency (%)
204612.719441486 1
0.1%
203896.909418576 1
0.1%
202335.780542256 1
0.1%
201213.64069933 1
0.1%
200265.939725719 1
0.1%
198034.29852814 1
0.1%
195927.468714435 1
0.1%
195019.399817378 1
0.1%
194974.587674037 1
0.1%
194166.98697578 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct649
Distinct (%)41.6%
Missing15
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean443393.9
Minimum431221.35
Maximum460411.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2024-05-11T06:05:49.250308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum431221.35
5-th percentile442154.99
Q1442477.33
median443225.1
Q3444139.58
95-th percentile445157.63
Maximum460411.56
Range29190.212
Interquartile range (IQR)1662.2505

Descriptive statistics

Standard deviation1235.6871
Coefficient of variation (CV)0.0027868833
Kurtosis42.012968
Mean443393.9
Median Absolute Deviation (MAD)789.71915
Skewness2.7882142
Sum6.9169448 × 108
Variance1526922.5
MonotonicityNot monotonic
2024-05-11T06:05:49.911949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442392.645303533 36
 
2.3%
442460.919021593 32
 
2.0%
442782.030555155 31
 
2.0%
442370.143700207 27
 
1.7%
442368.090413171 25
 
1.6%
445250.538868558 23
 
1.5%
442751.419539641 23
 
1.5%
442261.654499191 19
 
1.2%
442253.132895893 18
 
1.1%
445157.626366229 17
 
1.1%
Other values (639) 1309
83.1%
ValueCountFrequency (%)
431221.351656188 1
 
0.1%
441596.481083253 1
 
0.1%
441599.355055656 1
 
0.1%
441639.261005501 1
 
0.1%
441667.273859654 1
 
0.1%
441686.663572767 1
 
0.1%
441701.854538074 3
0.2%
441706.119585122 1
 
0.1%
441744.40616131 5
0.3%
441773.484823975 1
 
0.1%
ValueCountFrequency (%)
460411.563638915 1
0.1%
457721.110538251 1
0.1%
452194.473113773 1
0.1%
450889.061067079 1
0.1%
449380.074012936 1
0.1%
448407.752664604 1
0.1%
448276.142483848 1
0.1%
448229.063825491 1
0.1%
447003.101793554 1
0.1%
445795.065707973 2
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
출판사
1242 
<NA>
333 

Length

Max length4
Median length3
Mean length3.2114286
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 1242
78.9%
<NA> 333
 
21.1%

Length

2024-05-11T06:05:50.428583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:50.835704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 1242
78.9%
na 333
 
21.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
출판인쇄업
1242 
<NA>
333 

Length

Max length5
Median length5
Mean length4.7885714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 1242
78.9%
<NA> 333
 
21.1%

Length

2024-05-11T06:05:51.190866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:51.527036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 1242
78.9%
na 333
 
21.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)9.6%
Missing1346
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean4.8995633
Minimum0
Maximum46
Zeros61
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2024-05-11T06:05:51.873110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q36
95-th percentile15
Maximum46
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.2220216
Coefficient of variation (CV)1.2699135
Kurtosis13.508309
Mean4.8995633
Median Absolute Deviation (MAD)3
Skewness3.0635226
Sum1122
Variance38.713552
MonotonicityNot monotonic
2024-05-11T06:05:52.219959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 61
 
3.9%
4 43
 
2.7%
3 27
 
1.7%
5 22
 
1.4%
2 11
 
0.7%
7 9
 
0.6%
6 9
 
0.6%
10 8
 
0.5%
1 7
 
0.4%
12 5
 
0.3%
Other values (12) 27
 
1.7%
(Missing) 1346
85.5%
ValueCountFrequency (%)
0 61
3.9%
1 7
 
0.4%
2 11
 
0.7%
3 27
1.7%
4 43
2.7%
5 22
 
1.4%
6 9
 
0.6%
7 9
 
0.6%
8 2
 
0.1%
9 3
 
0.2%
ValueCountFrequency (%)
46 1
 
0.1%
36 2
 
0.1%
30 1
 
0.1%
20 3
0.2%
19 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
15 4
0.3%
14 5
0.3%
13 3
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1506 
기타
 
50
주택가주변
 
9
아파트지역
 
8
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.952381
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1506
95.6%
기타 50
 
3.2%
주택가주변 9
 
0.6%
아파트지역 8
 
0.5%
유흥업소밀집지역 1
 
0.1%
학교정화(상대) 1
 
0.1%

Length

2024-05-11T06:05:52.931138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:53.441897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1506
95.6%
기타 50
 
3.2%
주택가주변 9
 
0.6%
아파트지역 8
 
0.5%
유흥업소밀집지역 1
 
0.1%
학교정화(상대 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct256
Distinct (%)64.6%
Missing1179
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean89.770303
Minimum0
Maximum4382.06
Zeros57
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2024-05-11T06:05:54.025033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.15
median40.465
Q384.9425
95-th percentile273.54
Maximum4382.06
Range4382.06
Interquartile range (IQR)66.7925

Descriptive statistics

Standard deviation261.7574
Coefficient of variation (CV)2.9158573
Kurtosis190.39171
Mean89.770303
Median Absolute Deviation (MAD)28.535
Skewness12.486279
Sum35549.04
Variance68516.935
MonotonicityNot monotonic
2024-05-11T06:05:54.699377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
 
3.6%
33.0 14
 
0.9%
66.0 8
 
0.5%
36.0 6
 
0.4%
23.0 4
 
0.3%
18.0 4
 
0.3%
49.5 3
 
0.2%
69.0 3
 
0.2%
21.0 3
 
0.2%
45.0 3
 
0.2%
Other values (246) 291
 
18.5%
(Missing) 1179
74.9%
ValueCountFrequency (%)
0.0 57
3.6%
1.1 1
 
0.1%
4.4 1
 
0.1%
5.0 1
 
0.1%
5.5 1
 
0.1%
6.21 1
 
0.1%
7.0 1
 
0.1%
7.2 1
 
0.1%
7.27 1
 
0.1%
8.0 1
 
0.1%
ValueCountFrequency (%)
4382.06 1
0.1%
1903.0 1
0.1%
1326.15 1
0.1%
870.86 1
0.1%
703.4 1
0.1%
575.58 1
0.1%
477.89 1
0.1%
442.0 1
0.1%
437.7 1
0.1%
376.68 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)7.2%
Missing1324
Missing (%)84.1%
Infinite0
Infinite (%)0.0%
Mean3.0119522
Minimum0
Maximum40
Zeros61
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2024-05-11T06:05:55.228713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum40
Range40
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.9074105
Coefficient of variation (CV)1.2973016
Kurtosis32.819672
Mean3.0119522
Median Absolute Deviation (MAD)2
Skewness4.3422445
Sum756
Variance15.267857
MonotonicityNot monotonic
2024-05-11T06:05:55.697607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 61
 
3.9%
2 50
 
3.2%
3 38
 
2.4%
1 30
 
1.9%
4 24
 
1.5%
5 16
 
1.0%
6 7
 
0.4%
10 6
 
0.4%
7 5
 
0.3%
9 4
 
0.3%
Other values (8) 10
 
0.6%
(Missing) 1324
84.1%
ValueCountFrequency (%)
0 61
3.9%
1 30
1.9%
2 50
3.2%
3 38
2.4%
4 24
 
1.5%
5 16
 
1.0%
6 7
 
0.4%
7 5
 
0.3%
9 4
 
0.3%
10 6
 
0.4%
ValueCountFrequency (%)
40 1
 
0.1%
17 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
14 2
 
0.1%
13 1
 
0.1%
12 1
 
0.1%
11 2
 
0.1%
10 6
0.4%
9 4
0.3%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)4.2%
Missing1433
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean0.42957746
Minimum0
Maximum6
Zeros106
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2024-05-11T06:05:56.086611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.99927553
Coefficient of variation (CV)2.3261824
Kurtosis14.559892
Mean0.42957746
Median Absolute Deviation (MAD)0
Skewness3.505786
Sum61
Variance0.99855159
MonotonicityNot monotonic
2024-05-11T06:05:56.858537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 106
 
6.7%
1 25
 
1.6%
2 5
 
0.3%
6 2
 
0.1%
3 2
 
0.1%
4 2
 
0.1%
(Missing) 1433
91.0%
ValueCountFrequency (%)
0 106
6.7%
1 25
 
1.6%
2 5
 
0.3%
3 2
 
0.1%
4 2
 
0.1%
6 2
 
0.1%
ValueCountFrequency (%)
6 2
 
0.1%
4 2
 
0.1%
3 2
 
0.1%
2 5
 
0.3%
1 25
 
1.6%
0 106
6.7%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1403 
근린생활시설
 
95
사무실
 
30
아파트
 
19
단독주택
 
7
Other values (4)
 
21

Length

Max length6
Median length4
Mean length4.0863492
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1403
89.1%
근린생활시설 95
 
6.0%
사무실 30
 
1.9%
아파트 19
 
1.2%
단독주택 7
 
0.4%
기타 7
 
0.4%
다세대주택 7
 
0.4%
연립주택 6
 
0.4%
교육연구시설 1
 
0.1%

Length

2024-05-11T06:05:57.432350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:57.938840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1403
89.1%
근린생활시설 95
 
6.0%
사무실 30
 
1.9%
아파트 19
 
1.2%
단독주택 7
 
0.4%
기타 7
 
0.4%
다세대주택 7
 
0.4%
연립주택 6
 
0.4%
교육연구시설 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1523 
0
 
52

Length

Max length4
Median length4
Mean length3.9009524
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> 1523
96.7%
0 52
 
3.3%

Length

2024-05-11T06:05:58.552477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:59.141499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1523
96.7%
0 52
 
3.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1523 
0
 
52

Length

Max length4
Median length4
Mean length3.9009524
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> 1523
96.7%
0 52
 
3.3%

Length

2024-05-11T06:05:59.586080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:59.962920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1523
96.7%
0 52
 
3.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1523 
0
 
52

Length

Max length4
Median length4
Mean length3.9009524
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> 1523
96.7%
0 52
 
3.3%

Length

2024-05-11T06:06:00.447222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:00.801766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1523
96.7%
0 52
 
3.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1523 
0
 
52

Length

Max length4
Median length4
Mean length3.9009524
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> 1523
96.7%
0 52
 
3.3%

Length

2024-05-11T06:06:01.166923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:01.586613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1523
96.7%
0 52
 
3.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1523 
0
 
52

Length

Max length4
Median length4
Mean length3.9009524
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> 1523
96.7%
0 52
 
3.3%

Length

2024-05-11T06:06:01.995070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:02.678658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1523
96.7%
0 52
 
3.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1575
Missing (%)100.0%
Memory size14.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1499 
근린상업지역
 
38
준공업지역
 
14
일반주거지역
 
10
주거지역
 
7

Length

Max length6
Median length4
Mean length4.0787302
Min length4

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> 1499
95.2%
근린상업지역 38
 
2.4%
준공업지역 14
 
0.9%
일반주거지역 10
 
0.6%
주거지역 7
 
0.4%
일반상업지역 7
 
0.4%

Length

2024-05-11T06:06:03.500942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:04.103477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1499
95.2%
근린상업지역 38
 
2.4%
준공업지역 14
 
0.9%
일반주거지역 10
 
0.6%
주거지역 7
 
0.4%
일반상업지역 7
 
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFG125100197200000119720822<NA>1영업/정상13영업중<NA><NA><NA><NA>855-1151<NA>152873서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 구로동로**길 **-* (구로동)152873중앙적성출판사2013-12-07 07:52:10I2018-08-31 23:59:59.0<NA>190010.298083442820.923366출판사출판인쇄업4<NA><NA>33.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000CDFG125100197600000119760524<NA>1영업/정상13영업중<NA><NA><NA><NA>854-3385<NA>152857서울특별시 구로구 구로동 ***-***번지서울특별시 구로구 구로동로**가길 ** (구로동)152857도서출판 명성출판사2012-03-14 14:07:38I2018-08-31 23:59:59.0<NA>189473.469149443562.075343출판사출판인쇄업<NA><NA><NA>69.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFG125100197900000119790827<NA>1영업/정상13영업중<NA><NA><NA><NA>636-2911<NA>152866서울특별시 구로구 구로동 ***-**번지 공구상가 B동 ***호서울특별시 구로구 경인로**길 *, B동 ***호 (구로동, 공구상가)152866'법문북스'로 출판사 명칭 변경2013-12-09 13:02:30I2018-08-31 23:59:59.0<NA>189134.15447444274.729874출판사출판인쇄업4<NA><NA>36.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFG125100198700000219871214<NA>1영업/정상13영업중<NA><NA><NA><NA>862-2121<NA>152838서울특별시 구로구 구로동 **-*번지서울특별시 구로구 공원로 ** (구로동)<NA>(주)화광신문사2019-07-19 08:53:53U2019-07-21 02:40:00.0<NA>190170.447236444533.670033출판사출판인쇄업4<NA><NA>1326.1520<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000CDFG125100198700000319871228<NA>3폐업03폐업19990330<NA><NA><NA>866-9690<NA>152803서울특별시 구로구 개봉동 **-**번지서울특별시 구로구 고척로**길 *-** (개봉동)<NA>도서출판 말씀출판사2003-04-18 15:20:43I2018-08-31 23:59:59.0<NA>186227.488595444383.159459출판사출판인쇄업<NA><NA><NA>66.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53160000CDFG125100198800000119880413<NA>1영업/정상13영업중<NA><NA><NA><NA>865-6929<NA>152880서울특별시 구로구 구로동 ****-*번지서울특별시 구로구 시흥대로 *** (구로동)152880도서출판 정미2013-12-09 13:05:00I2018-08-31 23:59:59.0<NA>191173.834097442316.325151출판사출판인쇄업<NA><NA><NA>66.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFG125100198800000219880316<NA>1영업/정상13영업중<NA><NA><NA><NA>833-1752<NA>152838서울특별시 구로구 구로동 **-*번지서울특별시 구로구 공원로*길 ** (구로동)152838도서출판 인성문화사2013-12-09 13:06:02I2018-08-31 23:59:59.0<NA>190287.986335444602.20393출판사출판인쇄업3<NA><NA>104.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFG125100198800000319880331<NA>1영업/정상13영업중<NA><NA><NA><NA>864-3824<NA>152838서울특별시 구로구 구로동 **-**번지서울특별시 구로구 공원로*길 **-* (구로동)152838도서출판 중앙출판사2013-12-09 13:06:53I2018-08-31 23:59:59.0<NA>190325.394078444549.817624출판사출판인쇄업3<NA><NA>54.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83160000CDFG125100198800000419880412<NA>3폐업03폐업20020704<NA><NA><NA>854-1091<NA>152838서울특별시 구로구 구로동 **-*번지서울특별시 구로구 공원로*다길 ** (구로동)<NA>도서출판 해뜸2003-04-18 15:20:43I2018-08-31 23:59:59.0<NA>190205.248883444719.782918출판사출판인쇄업4<NA><NA>24.010<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFG125100198800000519880608<NA>1영업/정상13영업중<NA><NA><NA><NA>686-6822<NA>152806서울특별시 구로구 개봉동 ***-**번지 ***호서울특별시 구로구 경인로 ***, ***호 (개봉동)152806도서출판크리스찬 비젼하우스2013-12-09 13:09:23I2018-08-31 23:59:59.0<NA>187471.842861443829.62611출판사출판인쇄업<NA><NA><NA>18.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
15653160000CDFG12510020240000172024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-868-5006<NA><NA>서울특별시 구로구 구로동 ***-*서울특별시 구로구 가마산로**길 **, *층 (구로동)08301도서출판 영천2024-03-28 13:54:10I2023-12-02 21:00:00.0<NA>190079.443475443802.822747<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15663160000CDFG12510020240000182024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 개봉동 ***-**서울특별시 구로구 개봉로**가길 **-**, *층 ***호 (개봉동)08332지혜의 창2024-04-05 19:35:25I2023-12-04 00:07:00.0<NA>187303.599812443143.911821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15673160000CDFG12510020240000192024-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 **-** 오류동행복주택서울특별시 구로구 경인로**가길 **, ***동 ****호 (오류동, 오류동행복주택)08272튜링아트2024-04-11 17:13:26I2023-12-03 23:04:00.0<NA>186433.351493443741.776961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15683160000CDFG12510020240000202023-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8098-5931<NA><NA>서울특별시 구로구 고척동 ***-** 상암빌딩서울특별시 구로구 고척로 ***, 상암빌딩 *층 **호 (고척동)08246주식회사 에스비엠엔이 미디어콘텐츠지점2024-04-17 17:10:30I2023-12-03 23:09:00.0<NA>186684.004969444558.942181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15693160000CDFG12510020240000212022-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-*서울특별시 구로구 디지털로**길 **, 제지*층 제비***호 (구로동)08389온새미로하우스2024-04-22 19:32:33I2023-12-03 22:04:00.0<NA>190586.019686442101.685545<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15703160000CDFG12510020240000222024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 **** 럭키아파트서울특별시 구로구 도림로 ***, *동 ***호 (구로동, 럭키아파트)08305푸키오2024-04-22 19:32:07I2023-12-03 22:04:00.0<NA>190562.311511443317.633195<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15713160000CDFG12510020240000232024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 *** 현대아파트서울특별시 구로구 신도림로**길 **, ***동 ****호 (신도림동, 현대아파트)08201온맘다혜2024-04-22 19:32:43I2023-12-03 22:04:00.0<NA>189696.98599445534.088799<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15723160000CDFG12510020240000242024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA>070-5008-9940<NA><NA>서울특별시 구로구 온수동 **-* 초이락빌딩서울특별시 구로구 부일로*길 *, 초이락빌딩 (온수동)08260초이북스2024-04-24 15:34:12I2023-12-03 22:06:00.0<NA>184298.798749443423.557317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15733160000CDFG12510020240000252024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 예성유토피아서울특별시 구로구 도림천로 ***, 예성유토피아 ***동 ***호 (구로동)08378봄을 꾸는 사람2024-04-29 11:43:13I2023-12-05 00:01:00.0<NA>191002.243483442614.803166<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15743160000CDFG12510020240000262023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-894-0946<NA><NA>서울특별시 구로구 구로동 ***-* 제이앤케이디지털타워서울특별시 구로구 디지털로**길 ***, 제이앤케이디지털타워 ***~***호 (구로동)08390먼지나방 스토그래피2024-05-08 16:45:59I2023-12-04 23:00:00.0<NA>190822.851419442253.132896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>