Overview

Dataset statistics

Number of variables56
Number of observations250
Missing cells6954
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory118.8 KiB
Average record size in memory486.5 B

Variable types

Categorical17
Text8
DateTime4
Unsupported24
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17865/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 has constant value ""Constant
총층수 is highly imbalanced (79.1%)Imbalance
지상층수 is highly imbalanced (76.0%)Imbalance
지하층수 is highly imbalanced (76.0%)Imbalance
통로너비 is highly imbalanced (90.6%)Imbalance
조명시설조도 is highly imbalanced (90.6%)Imbalance
노래방실수 is highly imbalanced (90.6%)Imbalance
청소년실수 is highly imbalanced (90.6%)Imbalance
총게임기수 is highly imbalanced (90.6%)Imbalance
인허가취소일자 has 250 (100.0%) missing valuesMissing
폐업일자 has 186 (74.4%) missing valuesMissing
휴업시작일자 has 250 (100.0%) missing valuesMissing
휴업종료일자 has 250 (100.0%) missing valuesMissing
재개업일자 has 250 (100.0%) missing valuesMissing
전화번호 has 61 (24.4%) missing valuesMissing
소재지면적 has 250 (100.0%) missing valuesMissing
소재지우편번호 has 113 (45.2%) missing valuesMissing
도로명주소 has 12 (4.8%) missing valuesMissing
도로명우편번호 has 94 (37.6%) missing valuesMissing
업태구분명 has 250 (100.0%) missing valuesMissing
좌표정보(X) has 12 (4.8%) missing valuesMissing
좌표정보(Y) has 12 (4.8%) missing valuesMissing
주변환경명 has 250 (100.0%) missing valuesMissing
제작취급품목내용 has 250 (100.0%) missing valuesMissing
시설면적 has 215 (86.0%) missing valuesMissing
비상계단여부 has 250 (100.0%) missing valuesMissing
비상구여부 has 250 (100.0%) missing valuesMissing
자동환기여부 has 250 (100.0%) missing valuesMissing
청소년실여부 has 250 (100.0%) missing valuesMissing
특수조명여부 has 250 (100.0%) missing valuesMissing
방음시설여부 has 250 (100.0%) missing valuesMissing
비디오재생기명 has 250 (100.0%) missing valuesMissing
조명시설유무 has 250 (100.0%) missing valuesMissing
음향시설여부 has 250 (100.0%) missing valuesMissing
편의시설여부 has 250 (100.0%) missing valuesMissing
소방시설여부 has 250 (100.0%) missing valuesMissing
기존게임업외업종명 has 250 (100.0%) missing valuesMissing
제공게임물명 has 250 (100.0%) missing valuesMissing
공연장형태구분명 has 250 (100.0%) missing valuesMissing
품목명 has 250 (100.0%) missing valuesMissing
최초등록시점 has 250 (100.0%) missing valuesMissing
지역구분명 has 249 (99.6%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 27 (10.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:47:16.808767
Analysis finished2024-05-11 06:47:17.887322
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3130000
250 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 250
100.0%

Length

2024-05-11T15:47:18.003439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:18.176626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 250
100.0%

관리번호
Text

UNIQUE 

Distinct250
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T15:47:18.416484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5000
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

Unique250 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001965000001
2nd rowCDFG1252001967000001
3rd rowCDFG1252001973000002
4th rowCDFG1252001974000001
5th rowCDFG1252001974000002
ValueCountFrequency (%)
cdfg1252001965000001 1
 
0.4%
cdfg1252002017000006 1
 
0.4%
cdfg1252002016000010 1
 
0.4%
cdfg1252002018000009 1
 
0.4%
cdfg1252002016000012 1
 
0.4%
cdfg1252002016000013 1
 
0.4%
cdfg1252002016000014 1
 
0.4%
cdfg1252002016000015 1
 
0.4%
cdfg1252002016000016 1
 
0.4%
cdfg1252002016000017 1
 
0.4%
Other values (240) 240
96.0%
2024-05-11T15:47:18.875396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1993
39.9%
2 812
16.2%
1 529
 
10.6%
5 294
 
5.9%
C 250
 
5.0%
D 250
 
5.0%
F 250
 
5.0%
G 250
 
5.0%
9 100
 
2.0%
3 74
 
1.5%
Other values (4) 198
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
80.0%
Uppercase Letter 1000
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1993
49.8%
2 812
20.3%
1 529
 
13.2%
5 294
 
7.3%
9 100
 
2.5%
3 74
 
1.8%
4 59
 
1.5%
8 49
 
1.2%
7 46
 
1.1%
6 44
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 250
25.0%
D 250
25.0%
F 250
25.0%
G 250
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
80.0%
Latin 1000
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1993
49.8%
2 812
20.3%
1 529
 
13.2%
5 294
 
7.3%
9 100
 
2.5%
3 74
 
1.8%
4 59
 
1.5%
8 49
 
1.2%
7 46
 
1.1%
6 44
 
1.1%
Latin
ValueCountFrequency (%)
C 250
25.0%
D 250
25.0%
F 250
25.0%
G 250
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1993
39.9%
2 812
16.2%
1 529
 
10.6%
5 294
 
5.9%
C 250
 
5.0%
D 250
 
5.0%
F 250
 
5.0%
G 250
 
5.0%
9 100
 
2.0%
3 74
 
1.5%
Other values (4) 198
 
4.0%

인허가일자
Date

Distinct246
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1965-09-21 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T15:47:19.153329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:19.414695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
186 
3
59 
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 186
74.4%
3 59
 
23.6%
5 5
 
2.0%

Length

2024-05-11T15:47:19.631242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:19.787863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 186
74.4%
3 59
 
23.6%
5 5
 
2.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
186 
폐업
59 
제외/삭제/전출
 
5

Length

Max length8
Median length5
Mean length4.352
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 186
74.4%
폐업 59
 
23.6%
제외/삭제/전출 5
 
2.0%

Length

2024-05-11T15:47:19.986542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:20.143883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 186
74.4%
폐업 59
 
23.6%
제외/삭제/전출 5
 
2.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
186 
3
59 
15
 
5

Length

Max length2
Median length2
Mean length1.764
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 186
74.4%
3 59
 
23.6%
15 5
 
2.0%

Length

2024-05-11T15:47:20.317281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:20.476130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 186
74.4%
3 59
 
23.6%
15 5
 
2.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
186 
폐업
59 
전출
 
5

Length

Max length3
Median length3
Mean length2.744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 186
74.4%
폐업 59
 
23.6%
전출 5
 
2.0%

Length

2024-05-11T15:47:20.635232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:20.781369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 186
74.4%
폐업 59
 
23.6%
전출 5
 
2.0%

폐업일자
Date

MISSING 

Distinct64
Distinct (%)100.0%
Missing186
Missing (%)74.4%
Memory size2.1 KiB
Minimum1998-01-31 00:00:00
Maximum2024-04-05 00:00:00
2024-05-11T15:47:20.930785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:21.101449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

전화번호
Text

MISSING 

Distinct184
Distinct (%)97.4%
Missing61
Missing (%)24.4%
Memory size2.1 KiB
2024-05-11T15:47:21.490432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.952381
Min length1

Characters and Unicode

Total characters1881
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

Unique179 ?
Unique (%)94.7%

Sample

1st row712-1388
2nd row338-3344
3rd row712-0502
4th row702-1420
5th row706-1521
ValueCountFrequency (%)
02-000-0000 2
 
1.1%
719-7181 2
 
1.1%
02-569-1472 2
 
1.1%
02-3142-9810 2
 
1.1%
309-8411 2
 
1.1%
07046941171 1
 
0.5%
02-732-2255 1
 
0.5%
712-1388 1
 
0.5%
335-5306 1
 
0.5%
6467-2500 1
 
0.5%
Other values (174) 174
92.1%
2024-05-11T15:47:21.978518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 286
15.2%
0 266
14.1%
2 261
13.9%
3 237
12.6%
1 172
9.1%
7 171
9.1%
4 124
6.6%
5 100
 
5.3%
6 99
 
5.3%
8 84
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1595
84.8%
Dash Punctuation 286
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
16.7%
2 261
16.4%
3 237
14.9%
1 172
10.8%
7 171
10.7%
4 124
7.8%
5 100
 
6.3%
6 99
 
6.2%
8 84
 
5.3%
9 81
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 286
15.2%
0 266
14.1%
2 261
13.9%
3 237
12.6%
1 172
9.1%
7 171
9.1%
4 124
6.6%
5 100
 
5.3%
6 99
 
5.3%
8 84
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 286
15.2%
0 266
14.1%
2 261
13.9%
3 237
12.6%
1 172
9.1%
7 171
9.1%
4 124
6.6%
5 100
 
5.3%
6 99
 
5.3%
8 84
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Text

MISSING 

Distinct77
Distinct (%)56.2%
Missing113
Missing (%)45.2%
Memory size2.1 KiB
2024-05-11T15:47:22.366271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0291971
Min length6

Characters and Unicode

Total characters826
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

Unique39 ?
Unique (%)28.5%

Sample

1st row121803
2nd row121898
3rd row121802
4th row121812
5th row121801
ValueCountFrequency (%)
121842 7
 
5.1%
121803 5
 
3.6%
121874 5
 
3.6%
121200 4
 
2.9%
121840 3
 
2.2%
121130 3
 
2.2%
121815 3
 
2.2%
121809 3
 
2.2%
121801 3
 
2.2%
121898 3
 
2.2%
Other values (67) 98
71.5%
2024-05-11T15:47:22.873897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 308
37.3%
2 176
21.3%
8 123
 
14.9%
0 66
 
8.0%
4 35
 
4.2%
3 27
 
3.3%
9 25
 
3.0%
7 24
 
2.9%
5 19
 
2.3%
6 19
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 822
99.5%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 308
37.5%
2 176
21.4%
8 123
 
15.0%
0 66
 
8.0%
4 35
 
4.3%
3 27
 
3.3%
9 25
 
3.0%
7 24
 
2.9%
5 19
 
2.3%
6 19
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 826
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 308
37.3%
2 176
21.3%
8 123
 
14.9%
0 66
 
8.0%
4 35
 
4.2%
3 27
 
3.3%
9 25
 
3.0%
7 24
 
2.9%
5 19
 
2.3%
6 19
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 826
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 308
37.3%
2 176
21.3%
8 123
 
14.9%
0 66
 
8.0%
4 35
 
4.2%
3 27
 
3.3%
9 25
 
3.0%
7 24
 
2.9%
5 19
 
2.3%
6 19
 
2.3%

지번주소
Text

Distinct183
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T15:47:23.731410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length25.092
Min length17

Characters and Unicode

Total characters6273
Distinct characters162
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

Unique149 ?
Unique (%)59.6%

Sample

1st row서울특별시 마포구 공덕동 ***-**번지
2nd row서울특별시 마포구 동교동 ***-**번지
3rd row서울특별시 마포구 공덕동 ***-**번지
4th row서울특별시 마포구 도화동 *-**번지
5th row서울특별시 마포구 공덕동 ***-***번지
ValueCountFrequency (%)
서울특별시 250
21.0%
마포구 249
20.9%
번지 189
15.9%
61
 
5.1%
서교동 56
 
4.7%
층 54
 
4.5%
공덕동 29
 
2.4%
호 27
 
2.3%
동교동 26
 
2.2%
성산동 15
 
1.3%
Other values (109) 234
19.7%
2024-05-11T15:47:24.326500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1249
19.9%
1137
18.1%
서 311
 
5.0%
동 286
 
4.6%
마 259
 
4.1%
포 256
 
4.1%
구 253
 
4.0%
특 250
 
4.0%
별 250
 
4.0%
시 250
 
4.0%
Other values (152) 1772
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3619
57.7%
Other Punctuation 1252
 
20.0%
Space Separator 1137
 
18.1%
Dash Punctuation 221
 
3.5%
Uppercase Letter 29
 
0.5%
Lowercase Letter 7
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 311
 
8.6%
동 286
 
7.9%
마 259
 
7.2%
포 256
 
7.1%
구 253
 
7.0%
특 250
 
6.9%
별 250
 
6.9%
시 250
 
6.9%
울 250
 
6.9%
지 207
 
5.7%
Other values (128) 1047
28.9%
Uppercase Letter
ValueCountFrequency (%)
D 5
17.2%
M 4
13.8%
I 3
10.3%
C 3
10.3%
V 2
 
6.9%
P 2
 
6.9%
K 2
 
6.9%
T 2
 
6.9%
S 2
 
6.9%
A 2
 
6.9%
Other values (2) 2
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
s 2
28.6%
h 1
14.3%
e 1
14.3%
u 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1249
99.8%
, 2
 
0.2%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3619
57.7%
Common 2618
41.7%
Latin 36
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 311
 
8.6%
동 286
 
7.9%
마 259
 
7.2%
포 256
 
7.1%
구 253
 
7.0%
특 250
 
6.9%
별 250
 
6.9%
시 250
 
6.9%
울 250
 
6.9%
지 207
 
5.7%
Other values (128) 1047
28.9%
Latin
ValueCountFrequency (%)
D 5
13.9%
M 4
11.1%
I 3
 
8.3%
C 3
 
8.3%
o 2
 
5.6%
V 2
 
5.6%
P 2
 
5.6%
K 2
 
5.6%
T 2
 
5.6%
S 2
 
5.6%
Other values (7) 9
25.0%
Common
ValueCountFrequency (%)
* 1249
47.7%
1137
43.4%
- 221
 
8.4%
) 4
 
0.2%
( 4
 
0.2%
, 2
 
0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3619
57.7%
ASCII 2654
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1249
47.1%
1137
42.8%
- 221
 
8.3%
D 5
 
0.2%
) 4
 
0.2%
M 4
 
0.2%
( 4
 
0.2%
I 3
 
0.1%
C 3
 
0.1%
o 2
 
0.1%
Other values (14) 22
 
0.8%
Hangul
ValueCountFrequency (%)
서 311
 
8.6%
동 286
 
7.9%
마 259
 
7.2%
포 256
 
7.1%
구 253
 
7.0%
특 250
 
6.9%
별 250
 
6.9%
시 250
 
6.9%
울 250
 
6.9%
지 207
 
5.7%
Other values (128) 1047
28.9%

도로명주소
Text

MISSING 

Distinct222
Distinct (%)93.3%
Missing12
Missing (%)4.8%
Memory size2.1 KiB
2024-05-11T15:47:24.736331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length31.642857
Min length22

Characters and Unicode

Total characters7531
Distinct characters210
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

Unique208 ?
Unique (%)87.4%

Sample

1st row서울특별시 마포구 마포대로**길 ** (공덕동)
2nd row서울특별시 마포구 양화로 *** (동교동)
3rd row서울특별시 마포구 마포대로**길 **-* (공덕동)
4th row서울특별시 마포구 새창로*나길 * (도화동)
5th row서울특별시 마포구 마포대로**가길 * (공덕동)
ValueCountFrequency (%)
240
16.4%
서울특별시 238
16.3%
마포구 238
16.3%
층 100
 
6.8%
호 52
 
3.6%
서교동 44
 
3.0%
공덕동 24
 
1.6%
동교동 20
 
1.4%
동교로**길 17
 
1.2%
동교로 14
 
1.0%
Other values (218) 475
32.5%
2024-05-11T15:47:25.408281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1297
17.2%
* 1106
 
14.7%
동 311
 
4.1%
서 305
 
4.0%
마 282
 
3.7%
포 279
 
3.7%
울 246
 
3.3%
) 243
 
3.2%
구 243
 
3.2%
( 243
 
3.2%
Other values (200) 2976
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4305
57.2%
Other Punctuation 1341
 
17.8%
Space Separator 1297
 
17.2%
Close Punctuation 243
 
3.2%
Open Punctuation 243
 
3.2%
Dash Punctuation 55
 
0.7%
Uppercase Letter 38
 
0.5%
Lowercase Letter 8
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 311
 
7.2%
서 305
 
7.1%
마 282
 
6.6%
포 279
 
6.5%
울 246
 
5.7%
구 243
 
5.6%
시 238
 
5.5%
별 238
 
5.5%
특 238
 
5.5%
로 229
 
5.3%
Other values (172) 1696
39.4%
Uppercase Letter
ValueCountFrequency (%)
D 6
15.8%
C 6
15.8%
M 5
13.2%
K 3
7.9%
S 3
7.9%
I 3
7.9%
A 2
 
5.3%
T 2
 
5.3%
P 2
 
5.3%
V 2
 
5.3%
Other values (4) 4
10.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
25.0%
o 2
25.0%
b 1
12.5%
u 1
12.5%
e 1
12.5%
h 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 1106
82.5%
, 234
 
17.4%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1297
100.0%
Close Punctuation
ValueCountFrequency (%)
) 243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4305
57.2%
Common 3179
42.2%
Latin 47
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 311
 
7.2%
서 305
 
7.1%
마 282
 
6.6%
포 279
 
6.5%
울 246
 
5.7%
구 243
 
5.6%
시 238
 
5.5%
별 238
 
5.5%
특 238
 
5.5%
로 229
 
5.3%
Other values (172) 1696
39.4%
Latin
ValueCountFrequency (%)
D 6
12.8%
C 6
12.8%
M 5
 
10.6%
K 3
 
6.4%
S 3
 
6.4%
I 3
 
6.4%
s 2
 
4.3%
A 2
 
4.3%
T 2
 
4.3%
o 2
 
4.3%
Other values (11) 13
27.7%
Common
ValueCountFrequency (%)
1297
40.8%
* 1106
34.8%
) 243
 
7.6%
( 243
 
7.6%
, 234
 
7.4%
- 55
 
1.7%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4305
57.2%
ASCII 3225
42.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1297
40.2%
* 1106
34.3%
) 243
 
7.5%
( 243
 
7.5%
, 234
 
7.3%
- 55
 
1.7%
D 6
 
0.2%
C 6
 
0.2%
M 5
 
0.2%
K 3
 
0.1%
Other values (17) 27
 
0.8%
Hangul
ValueCountFrequency (%)
동 311
 
7.2%
서 305
 
7.1%
마 282
 
6.6%
포 279
 
6.5%
울 246
 
5.7%
구 243
 
5.6%
시 238
 
5.5%
별 238
 
5.5%
특 238
 
5.5%
로 229
 
5.3%
Other values (172) 1696
39.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct111
Distinct (%)71.2%
Missing94
Missing (%)37.6%
Memory size2.1 KiB
2024-05-11T15:47:25.826769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2948718
Min length5

Characters and Unicode

Total characters826
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 (%)52.6%

Sample

1st row04209
2nd row121080
3rd row04195
4th row121200
5th row121868
ValueCountFrequency (%)
03992 7
 
4.5%
121200 4
 
2.6%
04207 3
 
1.9%
04048 3
 
1.9%
03978 3
 
1.9%
121210 3
 
1.9%
03962 3
 
1.9%
04075 3
 
1.9%
04002 3
 
1.9%
03993 3
 
1.9%
Other values (101) 121
77.6%
2024-05-11T15:47:26.529738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 218
26.4%
1 131
15.9%
4 110
13.3%
2 94
11.4%
9 71
 
8.6%
3 67
 
8.1%
8 49
 
5.9%
7 38
 
4.6%
5 27
 
3.3%
6 18
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 823
99.6%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
26.5%
1 131
15.9%
4 110
13.4%
2 94
11.4%
9 71
 
8.6%
3 67
 
8.1%
8 49
 
6.0%
7 38
 
4.6%
5 27
 
3.3%
6 18
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 826
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 218
26.4%
1 131
15.9%
4 110
13.3%
2 94
11.4%
9 71
 
8.6%
3 67
 
8.1%
8 49
 
5.9%
7 38
 
4.6%
5 27
 
3.3%
6 18
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 826
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 218
26.4%
1 131
15.9%
4 110
13.3%
2 94
11.4%
9 71
 
8.6%
3 67
 
8.1%
8 49
 
5.9%
7 38
 
4.6%
5 27
 
3.3%
6 18
 
2.2%

사업장명
Text

Distinct247
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T15:47:26.944659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.4
Min length2

Characters and Unicode

Total characters1850
Distinct characters312
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

Unique244 ?
Unique (%)97.6%

Sample

1st row주식회사 필경
2nd row(주)세정신문사
3rd row대양인쇄사
4th row동우문화사
5th row동명인쇄공사
ValueCountFrequency (%)
주식회사 39
 
12.6%
디자인 3
 
1.0%
필경 2
 
0.6%
스튜디오 2
 
0.6%
주)타라그래픽스 2
 
0.6%
커뮤니케이션 2
 
0.6%
은성하이테크 2
 
0.6%
엠오디그래픽스 2
 
0.6%
팩토리(pactory 1
 
0.3%
줄라이웍스(julyworks 1
 
0.3%
Other values (253) 253
81.9%
2024-05-11T15:47:27.598910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 114
 
6.2%
) 79
 
4.3%
( 79
 
4.3%
사 70
 
3.8%
이 63
 
3.4%
59
 
3.2%
인 48
 
2.6%
회 43
 
2.3%
스 43
 
2.3%
디 42
 
2.3%
Other values (302) 1210
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1551
83.8%
Close Punctuation 80
 
4.3%
Open Punctuation 80
 
4.3%
Space Separator 59
 
3.2%
Uppercase Letter 40
 
2.2%
Lowercase Letter 28
 
1.5%
Decimal Number 5
 
0.3%
Dash Punctuation 4
 
0.2%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 114
 
7.4%
사 70
 
4.5%
이 63
 
4.1%
인 48
 
3.1%
회 43
 
2.8%
스 43
 
2.8%
디 42
 
2.7%
식 39
 
2.5%
니 25
 
1.6%
아 23
 
1.5%
Other values (256) 1041
67.1%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.0%
P 4
10.0%
A 4
10.0%
R 4
10.0%
D 4
10.0%
N 3
 
7.5%
E 2
 
5.0%
O 2
 
5.0%
M 2
 
5.0%
J 1
 
2.5%
Other values (8) 8
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
10.7%
e 3
10.7%
r 3
10.7%
t 2
 
7.1%
y 2
 
7.1%
u 2
 
7.1%
s 2
 
7.1%
a 2
 
7.1%
m 2
 
7.1%
w 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
1 1
20.0%
2 1
20.0%
0 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 79
98.8%
） 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 79
98.8%
（ 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1551
83.8%
Common 231
 
12.5%
Latin 68
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 114
 
7.4%
사 70
 
4.5%
이 63
 
4.1%
인 48
 
3.1%
회 43
 
2.8%
스 43
 
2.8%
디 42
 
2.7%
식 39
 
2.5%
니 25
 
1.6%
아 23
 
1.5%
Other values (256) 1041
67.1%
Latin
ValueCountFrequency (%)
C 6
 
8.8%
P 4
 
5.9%
A 4
 
5.9%
R 4
 
5.9%
D 4
 
5.9%
N 3
 
4.4%
o 3
 
4.4%
e 3
 
4.4%
r 3
 
4.4%
t 2
 
2.9%
Other values (24) 32
47.1%
Common
ValueCountFrequency (%)
) 79
34.2%
( 79
34.2%
59
25.5%
- 4
 
1.7%
3 2
 
0.9%
& 2
 
0.9%
1 1
 
0.4%
. 1
 
0.4%
（ 1
 
0.4%
） 1
 
0.4%
Other values (2) 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1551
83.8%
ASCII 297
 
16.1%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 114
 
7.4%
사 70
 
4.5%
이 63
 
4.1%
인 48
 
3.1%
회 43
 
2.8%
스 43
 
2.8%
디 42
 
2.7%
식 39
 
2.5%
니 25
 
1.6%
아 23
 
1.5%
Other values (256) 1041
67.1%
ASCII
ValueCountFrequency (%)
) 79
26.6%
( 79
26.6%
59
19.9%
C 6
 
2.0%
P 4
 
1.3%
A 4
 
1.3%
- 4
 
1.3%
R 4
 
1.3%
D 4
 
1.3%
N 3
 
1.0%
Other values (34) 51
17.2%
None
ValueCountFrequency (%)
（ 1
50.0%
） 1
50.0%

최종수정일자
Date

Distinct231
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2003-04-18 14:56:50
Maximum2024-04-30 16:59:02
2024-05-11T15:47:27.781654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:27.956743image/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 size2.1 KiB
I
194 
U
56 

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 194
77.6%
U 56
 
22.4%

Length

2024-05-11T15:47:28.219520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:28.345938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 194
77.6%
u 56
 
22.4%

데이터갱신일자
Date

Distinct94
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:47:28.464565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:47:28.674552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct205
Distinct (%)86.1%
Missing12
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean193468.69
Minimum189624.64
Maximum196433.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T15:47:28.880825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189624.64
5-th percentile191384.18
Q1192580.98
median193013.28
Q3194896.97
95-th percentile196033.36
Maximum196433.23
Range6808.5856
Interquartile range (IQR)2315.9854

Descriptive statistics

Standard deviation1505.7685
Coefficient of variation (CV)0.0077830085
Kurtosis-0.5651362
Mean193468.69
Median Absolute Deviation (MAD)738.24524
Skewness0.20112297
Sum46045548
Variance2267338.7
MonotonicityNot monotonic
2024-05-11T15:47:29.065435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195988.458681319 3
 
1.2%
191467.96864919 3
 
1.2%
195703.425296812 3
 
1.2%
192700.49256659 3
 
1.2%
195895.264446237 3
 
1.2%
195454.875715409 2
 
0.8%
193852.967819554 2
 
0.8%
193716.268830546 2
 
0.8%
195324.793653981 2
 
0.8%
192887.252878075 2
 
0.8%
Other values (195) 213
85.2%
(Missing) 12
 
4.8%
ValueCountFrequency (%)
189624.641758403 1
0.4%
189855.433985731 2
0.8%
190125.564768858 1
0.4%
190221.187884898 1
0.4%
190655.421130038 1
0.4%
190710.040183218 1
0.4%
190829.950779698 1
0.4%
190909.280217808 1
0.4%
190981.842410581 1
0.4%
191070.730851594 1
0.4%
ValueCountFrequency (%)
196433.227363838 1
0.4%
196293.231026739 2
0.8%
196286.512049256 1
0.4%
196124.527924982 1
0.4%
196101.274641419 1
0.4%
196073.348728269 1
0.4%
196068.073376467 1
0.4%
196060.286943282 1
0.4%
196043.787129897 1
0.4%
196043.208345657 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct205
Distinct (%)86.1%
Missing12
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean450101.16
Minimum448231.9
Maximum453872.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T15:47:29.254547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448231.9
5-th percentile448839.4
Q1449457.14
median450080.82
Q3450582.07
95-th percentile451432.89
Maximum453872.43
Range5640.5247
Interquartile range (IQR)1124.9356

Descriptive statistics

Standard deviation939.44641
Coefficient of variation (CV)0.0020871895
Kurtosis2.6326931
Mean450101.16
Median Absolute Deviation (MAD)593.50701
Skewness1.1061597
Sum1.0712408 × 108
Variance882559.56
MonotonicityNot monotonic
2024-05-11T15:47:29.414190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449502.64176892 3
 
1.2%
451090.782404271 3
 
1.2%
449330.800717721 3
 
1.2%
450283.018441877 3
 
1.2%
449340.442729889 3
 
1.2%
448970.223733402 2
 
0.8%
449666.359945653 2
 
0.8%
450209.141627082 2
 
0.8%
448885.430093289 2
 
0.8%
451136.300400987 2
 
0.8%
Other values (195) 213
85.2%
(Missing) 12
 
4.8%
ValueCountFrequency (%)
448231.901045119 2
0.8%
448345.713688045 1
0.4%
448411.703822551 1
0.4%
448466.269750246 2
0.8%
448489.568113358 1
0.4%
448698.169166329 1
0.4%
448725.077064367 1
0.4%
448733.404817253 1
0.4%
448744.512122173 2
0.8%
448856.150306454 1
0.4%
ValueCountFrequency (%)
453872.42578746 1
0.4%
453614.583448105 2
0.8%
453090.149821248 1
0.4%
452917.024286391 1
0.4%
452903.214623512 1
0.4%
452753.974615352 1
0.4%
452720.136638715 1
0.4%
452691.430156221 1
0.4%
451716.813655417 1
0.4%
451608.125612064 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
인쇄사
216 
<NA>
34 

Length

Max length4
Median length3
Mean length3.136
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 216
86.4%
<NA> 34
 
13.6%

Length

2024-05-11T15:47:29.558948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:29.663558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 216
86.4%
na 34
 
13.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
출판인쇄업
216 
<NA>
34 

Length

Max length5
Median length5
Mean length4.864
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 216
86.4%
<NA> 34
 
13.6%

Length

2024-05-11T15:47:29.783886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:29.884598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 216
86.4%
na 34
 
13.6%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
232 
0
 
16
4
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.784
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 232
92.8%
0 16
 
6.4%
4 1
 
0.4%
3 1
 
0.4%

Length

2024-05-11T15:47:30.007499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:30.109837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 232
92.8%
0 16
 
6.4%
4 1
 
0.4%
3 1
 
0.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)25.7%
Missing215
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean33.568571
Minimum0
Maximum326.48
Zeros27
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T15:47:30.232226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile204.085
Maximum326.48
Range326.48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76.047335
Coefficient of variation (CV)2.2654326
Kurtosis6.6541958
Mean33.568571
Median Absolute Deviation (MAD)0
Skewness2.594972
Sum1174.9
Variance5783.1972
MonotonicityNot monotonic
2024-05-11T15:47:30.430818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 27
 
10.8%
79.0 1
 
0.4%
99.0 1
 
0.4%
197.35 1
 
0.4%
63.37 1
 
0.4%
49.5 1
 
0.4%
219.8 1
 
0.4%
140.4 1
 
0.4%
326.48 1
 
0.4%
(Missing) 215
86.0%
ValueCountFrequency (%)
0.0 27
10.8%
49.5 1
 
0.4%
63.37 1
 
0.4%
79.0 1
 
0.4%
99.0 1
 
0.4%
140.4 1
 
0.4%
197.35 1
 
0.4%
219.8 1
 
0.4%
326.48 1
 
0.4%
ValueCountFrequency (%)
326.48 1
 
0.4%
219.8 1
 
0.4%
197.35 1
 
0.4%
140.4 1
 
0.4%
99.0 1
 
0.4%
79.0 1
 
0.4%
63.37 1
 
0.4%
49.5 1
 
0.4%
0.0 27
10.8%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
16
3
 
1

Length

Max length4
Median length4
Mean length3.796
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 233
93.2%
0 16
 
6.4%
3 1
 
0.4%

Length

2024-05-11T15:47:30.653831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:30.799503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
93.2%
0 16
 
6.4%
3 1
 
0.4%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
233 
0
 
16
1
 
1

Length

Max length4
Median length4
Mean length3.796
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 233
93.2%
0 16
 
6.4%
1 1
 
0.4%

Length

2024-05-11T15:47:30.991776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:31.172691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 233
93.2%
0 16
 
6.4%
1 1
 
0.4%

건물용도명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
208 
근린생활시설
42 

Length

Max length6
Median length4
Mean length4.336
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 208
83.2%
근린생활시설 42
 
16.8%

Length

2024-05-11T15:47:31.363164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:31.547854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
83.2%
근린생활시설 42
 
16.8%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
247 
0
 
3

Length

Max length4
Median length4
Mean length3.964
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> 247
98.8%
0 3
 
1.2%

Length

2024-05-11T15:47:31.729384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:31.862363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 247
98.8%
0 3
 
1.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
247 
0
 
3

Length

Max length4
Median length4
Mean length3.964
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> 247
98.8%
0 3
 
1.2%

Length

2024-05-11T15:47:32.109044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:32.273670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 247
98.8%
0 3
 
1.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
247 
0
 
3

Length

Max length4
Median length4
Mean length3.964
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> 247
98.8%
0 3
 
1.2%

Length

2024-05-11T15:47:32.503327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:32.720812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 247
98.8%
0 3
 
1.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
247 
0
 
3

Length

Max length4
Median length4
Mean length3.964
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> 247
98.8%
0 3
 
1.2%

Length

2024-05-11T15:47:32.906122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:33.092579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 247
98.8%
0 3
 
1.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
247 
0
 
3

Length

Max length4
Median length4
Mean length3.964
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> 247
98.8%
0 3
 
1.2%

Length

2024-05-11T15:47:33.292227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:47:33.473417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 247
98.8%
0 3
 
1.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing250
Missing (%)100.0%
Memory size2.3 KiB

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing249
Missing (%)99.6%
Memory size2.1 KiB
2024-05-11T15:47:33.667823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린상업지역
ValueCountFrequency (%)
근린상업지역 1
100.0%
2024-05-11T15:47:34.097399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFG125200196500000119650921<NA>1영업/정상13영업중<NA><NA><NA><NA>712-1388<NA>121803서울특별시 마포구 공덕동 ***-**번지서울특별시 마포구 마포대로**길 ** (공덕동)<NA>주식회사 필경2015-07-21 16:25:19I2018-08-31 23:59:59.0<NA>195895.264446449340.44273인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13130000CDFG125200196700000119670401<NA>3폐업3폐업20130116<NA><NA><NA>338-3344<NA>121898서울특별시 마포구 동교동 ***-**번지서울특별시 마포구 양화로 *** (동교동)<NA>(주)세정신문사2013-01-16 17:01:44I2018-08-31 23:59:59.0<NA>193087.27591450471.286603인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23130000CDFG125200197300000219730411<NA>1영업/정상13영업중<NA><NA><NA><NA>712-0502<NA>121802서울특별시 마포구 공덕동 ***-**번지서울특별시 마포구 마포대로**길 **-* (공덕동)<NA>대양인쇄사2003-04-18 14:56:50I2018-08-31 23:59:59.0<NA>196043.208346449553.240865인쇄사출판인쇄업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33130000CDFG125200197400000119740201<NA>3폐업3폐업20050624<NA><NA><NA><NA><NA>121812서울특별시 마포구 도화동 *-**번지서울특별시 마포구 새창로*나길 * (도화동)<NA>동우문화사2005-06-24 12:42:40I2018-08-31 23:59:59.0<NA>195782.913766448744.512122인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFG125200197400000219740427<NA>3폐업3폐업19980131<NA><NA><NA>702-1420<NA>121801서울특별시 마포구 공덕동 ***-***번지서울특별시 마포구 마포대로**가길 * (공덕동)<NA>동명인쇄공사2003-04-18 14:56:50I2018-08-31 23:59:59.0<NA>196032.876702449623.201841인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53130000CDFG125200197500000119750226<NA>3폐업3폐업19980629<NA><NA><NA><NA><NA>121808서울특별시 마포구 대흥동 *-**번지서울특별시 마포구 숭문길 *** (대흥동)<NA>우리인쇄사2003-04-18 14:56:50I2018-08-31 23:59:59.0<NA>195200.80626450151.613142인쇄사출판인쇄업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63130000CDFG125200197500000219750312<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>121801서울특별시 마포구 공덕동 ***-***번지서울특별시 마포구 마포대로**가길 * (공덕동)<NA>정화인쇄지기공업사2004-11-19 11:13:04I2018-08-31 23:59:59.0<NA>196043.78713449639.828189인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73130000CDFG125200197500000319750515<NA>1영업/정상13영업중<NA><NA><NA><NA>706-1521<NA>121130서울특별시 마포구 구수동 **-*번지서울특별시 마포구 토정로 *** (구수동)<NA>만리사2008-02-13 11:04:17I2018-08-31 23:59:59.0<NA>193938.785959449222.448052인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83130000CDFG125200197900000119790725<NA>1영업/정상13영업중<NA><NA><NA><NA>323-7275<NA>121896서울특별시 마포구 서교동 ***-**번지서울특별시 마포구 동교로**길 ** (서교동)<NA>삼광인쇄사2004-11-19 11:45:31I2018-08-31 23:59:59.0<NA>192563.697118450676.080403인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93130000CDFG125200197900000219790913<NA>1영업/정상13영업중<NA><NA><NA><NA>719-7181<NA>121809서울특별시 마포구 대흥동 ***-*번지서울특별시 마포구 대흥로 ***-* (대흥동)<NA>동화인쇄공사2003-04-18 14:56:50I2018-08-31 23:59:59.0<NA>194896.966969449601.762933인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA>근린생활시설<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
2403130000CDFG12520020230000022014-11-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-719-3161<NA><NA>서울특별시 마포구 서교동 ***-** *층서울특별시 마포구 동교로 ***-*, *층 (서교동)04030(주)인포그램2023-03-10 15:40:47I2022-12-02 23:02:00.0<NA>192723.104898450303.280528<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2413130000CDFG12520020230000032023-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 염리동 ***-* *층서울특별시 마포구 백범로 ***, *층 (염리동)04149사단법인 국민재난안전총연합회2023-03-15 16:45:50I2022-12-02 23:07:00.0<NA>195080.452995449320.304599<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2423130000CDFG12520020230000042023-03-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 ***-* *층서울특별시 마포구 월드컵북로*길 **, *층 (동교동)03992북마크2023-03-23 14:17:59I2022-12-02 22:05:00.0<NA>192907.931093450699.914173<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2433130000CDFG12520020230000052023-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 *-** *층서울특별시 마포구 성암로**길 *, *층 (상암동)03927유니솔루션2023-04-20 11:15:18I2022-12-03 22:03:00.0<NA>190710.040183452903.214624<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2443130000CDFG12520020230000062023-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1310-6343<NA><NA>서울특별시 마포구 성산동 ***-* 성산동 성일 APT서울특별시 마포구 월드컵북로 **, *층 ***-**호 (성산동, 성산동 성일 APT)03978비노2024-01-19 14:56:41U2023-11-30 22:01:00.0<NA>192403.199513451124.615897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2453130000CDFG12520020230000072023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-332-5393<NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 동교로 ***, ***호 (서교동)04031(주)에프엔에프코리아2023-11-01 20:05:38I2022-11-01 00:03:00.0<NA>192853.826977450374.220949<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2463130000CDFG12520020230000082023-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 ***-**서울특별시 마포구 신촌로*길 **, 에이동 *층 (동교동)04056(주)라이언코퍼레이션2023-12-13 11:40:17I2022-11-01 23:06:00.0<NA>193625.324969450564.274975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2473130000CDFG12520020240000012024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2698-7982<NA><NA>서울특별시 마포구 연남동 ***-**서울특별시 마포구 동교로**길 **, *층 (연남동)03983아시아빅뉴스2024-02-21 12:57:01I2023-12-01 22:03:00.0<NA>193216.563721451280.209337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2483130000CDFG12520020240000022024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-325-3381<NA><NA>서울특별시 마포구 창전동 *-** 드림빌딩서울특별시 마포구 와우산로 ***, 드림빌딩 *층 (창전동)04059모멘텀(Momentum)2024-03-05 12:30:58I2023-12-03 00:07:00.0<NA>193716.268831450209.141627<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2493130000CDFG12520020240000032024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-394-1027<NA><NA>서울특별시 마포구 망원동 ***-** 휴먼스빌서울특별시 마포구 희우정로 **, ***호 (망원동, 휴먼스빌)04017(주)도서출판알투스2024-04-30 16:59:02I2023-12-05 00:02:00.0<NA>191418.476015450106.746532<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>