Overview

Dataset statistics

Number of variables26
Number of observations878
Missing cells6378
Missing cells (%)27.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory188.8 KiB
Average record size in memory220.2 B

Variable types

Categorical7
Numeric4
DateTime6
Unsupported4
Text5

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),영업내용
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17850/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 878 (100.0%) missing valuesMissing
폐업일자 has 195 (22.2%) missing valuesMissing
휴업시작일자 has 865 (98.5%) missing valuesMissing
휴업종료일자 has 865 (98.5%) missing valuesMissing
전화번호 has 200 (22.8%) missing valuesMissing
소재지면적 has 878 (100.0%) missing valuesMissing
소재지우편번호 has 878 (100.0%) missing valuesMissing
지번주소 has 11 (1.3%) missing valuesMissing
도로명주소 has 43 (4.9%) missing valuesMissing
도로명우편번호 has 552 (62.9%) missing valuesMissing
업태구분명 has 878 (100.0%) missing valuesMissing
좌표정보(X) has 32 (3.6%) missing valuesMissing
좌표정보(Y) has 32 (3.6%) missing valuesMissing
영업내용 has 71 (8.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:30:45.428743
Analysis finished2024-05-11 06:30:46.741817
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
3230000
878 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 878
100.0%

Length

2024-05-11T15:30:46.872073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:47.400922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 878
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct878
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0045724 × 1018
Minimum1.984323 × 1018
Maximum2.024323 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T15:30:47.601643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.984323 × 1018
5-th percentile1.993323 × 1018
Q11.999323 × 1018
median2.003323 × 1018
Q32.009323 × 1018
95-th percentile2.020323 × 1018
Maximum2.024323 × 1018
Range4.0000016 × 1016
Interquartile range (IQR)1.0000002 × 1016

Descriptive statistics

Standard deviation8.0688615 × 1015
Coefficient of variation (CV)0.0040252282
Kurtosis-0.35501952
Mean2.0045724 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.52053845
Sum7.5739212 × 1018
Variance6.5106526 × 1031
MonotonicityStrictly increasing
2024-05-11T15:30:47.898665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1984323014008500068 1
 
0.1%
2006323014008500607 1
 
0.1%
2006323014008500595 1
 
0.1%
2006323014008500596 1
 
0.1%
2006323014008500597 1
 
0.1%
2006323014008500598 1
 
0.1%
2006323014008500599 1
 
0.1%
2006323014008500600 1
 
0.1%
2006323014008500601 1
 
0.1%
2006323014008500602 1
 
0.1%
Other values (868) 868
98.9%
ValueCountFrequency (%)
1984323014008500068 1
0.1%
1986323014008500002 1
0.1%
1988323014008500045 1
0.1%
1988323014008500081 1
0.1%
1988323014008500139 1
0.1%
1988323014008500140 1
0.1%
1988323014008500141 1
0.1%
1988323014008500147 1
0.1%
1989323014008500035 1
0.1%
1989323014008500037 1
0.1%
ValueCountFrequency (%)
2024323030308500005 1
0.1%
2024323030308500004 1
0.1%
2024323030308500003 1
0.1%
2024323030308500002 1
0.1%
2024323030308500001 1
0.1%
2023323030308500006 1
0.1%
2023323030308500005 1
0.1%
2023323030308500004 1
0.1%
2023323030308500003 1
0.1%
2023323030308500002 1
0.1%

인허가일자
Date

Distinct761
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum1984-07-13 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T15:30:48.147974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:48.436865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing878
Missing (%)100.0%
Memory size7.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
3
684 
1
188 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 684
77.9%
1 188
 
21.4%
2 6
 
0.7%

Length

2024-05-11T15:30:48.653438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:48.814765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 684
77.9%
1 188
 
21.4%
2 6
 
0.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
폐업
684 
영업/정상
188 
휴업
 
6

Length

Max length5
Median length2
Mean length2.642369
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 684
77.9%
영업/정상 188
 
21.4%
휴업 6
 
0.7%

Length

2024-05-11T15:30:49.021302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:49.251541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 684
77.9%
영업/정상 188
 
21.4%
휴업 6
 
0.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
40
684 
20
188 
30
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row40
3rd row30
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 684
77.9%
20 188
 
21.4%
30 6
 
0.7%

Length

2024-05-11T15:30:49.453393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:49.635618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 684
77.9%
20 188
 
21.4%
30 6
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
폐업
684 
정상
188 
휴업
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상
2nd row폐업
3rd row휴업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 684
77.9%
정상 188
 
21.4%
휴업 6
 
0.7%

Length

2024-05-11T15:30:49.821402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:50.001985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 684
77.9%
정상 188
 
21.4%
휴업 6
 
0.7%

폐업일자
Date

MISSING 

Distinct375
Distinct (%)54.9%
Missing195
Missing (%)22.2%
Memory size7.0 KiB
Minimum1996-07-08 00:00:00
Maximum2024-03-12 00:00:00
2024-05-11T15:30:50.206757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:50.429069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct12
Distinct (%)92.3%
Missing865
Missing (%)98.5%
Memory size7.0 KiB
Minimum2001-12-18 00:00:00
Maximum2023-10-18 00:00:00
2024-05-11T15:30:50.646303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:50.842355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업종료일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing865
Missing (%)98.5%
Memory size7.0 KiB
Minimum2002-03-18 00:00:00
Maximum2033-10-18 00:00:00
2024-05-11T15:30:51.038823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:51.234545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
876 
20160223
 
1
20200131
 
1

Length

Max length8
Median length4
Mean length4.0091116
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 876
99.8%
20160223 1
 
0.1%
20200131 1
 
0.1%

Length

2024-05-11T15:30:51.469483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:51.695591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 876
99.8%
20160223 1
 
0.1%
20200131 1
 
0.1%

전화번호
Text

MISSING 

Distinct637
Distinct (%)94.0%
Missing200
Missing (%)22.8%
Memory size7.0 KiB
2024-05-11T15:30:52.220803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.511799
Min length7

Characters and Unicode

Total characters7805
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique598 ?
Unique (%)88.2%

Sample

1st row024132092
2nd row02 406 6752
3rd row02 408 4889
4th row02 422 1131
5th row02 417 8371
ValueCountFrequency (%)
02 584
33.4%
421 24
 
1.4%
420 23
 
1.3%
403 21
 
1.2%
406 21
 
1.2%
424 21
 
1.2%
409 19
 
1.1%
430 18
 
1.0%
415 18
 
1.0%
419 17
 
1.0%
Other values (693) 985
56.3%
2024-05-11T15:30:53.109216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1643
21.1%
0 1264
16.2%
2 1245
16.0%
4 965
12.4%
1 510
 
6.5%
3 491
 
6.3%
5 379
 
4.9%
7 375
 
4.8%
8 342
 
4.4%
9 297
 
3.8%
Other values (2) 294
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6160
78.9%
Space Separator 1643
 
21.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1264
20.5%
2 1245
20.2%
4 965
15.7%
1 510
8.3%
3 491
 
8.0%
5 379
 
6.2%
7 375
 
6.1%
8 342
 
5.6%
9 297
 
4.8%
6 292
 
4.7%
Space Separator
ValueCountFrequency (%)
1643
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7805
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1643
21.1%
0 1264
16.2%
2 1245
16.0%
4 965
12.4%
1 510
 
6.5%
3 491
 
6.3%
5 379
 
4.9%
7 375
 
4.8%
8 342
 
4.4%
9 297
 
3.8%
Other values (2) 294
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7805
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1643
21.1%
0 1264
16.2%
2 1245
16.0%
4 965
12.4%
1 510
 
6.5%
3 491
 
6.3%
5 379
 
4.9%
7 375
 
4.8%
8 342
 
4.4%
9 297
 
3.8%
Other values (2) 294
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing878
Missing (%)100.0%
Memory size7.8 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing878
Missing (%)100.0%
Memory size7.8 KiB

지번주소
Text

MISSING 

Distinct496
Distinct (%)57.2%
Missing11
Missing (%)1.3%
Memory size7.0 KiB
2024-05-11T15:30:53.460981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length31.226067
Min length16

Characters and Unicode

Total characters27073
Distinct characters262
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique392 ?
Unique (%)45.2%

Sample

1st row서울특별시 송파구 신천동 *번지 장미상가 *-*호
2nd row서울특별시 송파구 오금동 ***-**번지 *통*반 _ *동 *호
3rd row서울특별시 송파구 가락동 *** 칠성빌딩 ***동 **호
4th row서울특별시 송파구 신천동 **-*번지 *통*반 시영apt ***동 ***호
5th row서울특별시 송파구 삼전동 **-*번지 *통*반 _ *동 *호
ValueCountFrequency (%)
서울특별시 865
15.1%
송파구 862
15.0%
번지 759
13.2%
호 544
9.5%
511
8.9%
통*반 451
7.9%
동 448
7.8%
문정동 139
 
2.4%
가락동 116
 
2.0%
방이동 101
 
1.8%
Other values (283) 934
16.3%
2024-05-11T15:30:54.098356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5878
21.7%
5170
19.1%
동 1355
 
5.0%
파 994
 
3.7%
송 963
 
3.6%
시 875
 
3.2%
구 867
 
3.2%
서 866
 
3.2%
별 866
 
3.2%
울 865
 
3.2%
Other values (252) 8374
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14673
54.2%
Other Punctuation 5884
21.7%
Space Separator 5170
 
19.1%
Dash Punctuation 796
 
2.9%
Connector Punctuation 362
 
1.3%
Close Punctuation 63
 
0.2%
Open Punctuation 63
 
0.2%
Uppercase Letter 43
 
0.2%
Decimal Number 14
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1355
 
9.2%
파 994
 
6.8%
송 963
 
6.6%
시 875
 
6.0%
구 867
 
5.9%
서 866
 
5.9%
별 866
 
5.9%
울 865
 
5.9%
특 865
 
5.9%
지 790
 
5.4%
Other values (219) 5367
36.6%
Uppercase Letter
ValueCountFrequency (%)
B 12
27.9%
A 7
16.3%
C 4
 
9.3%
K 4
 
9.3%
S 3
 
7.0%
T 2
 
4.7%
L 2
 
4.7%
D 2
 
4.7%
V 2
 
4.7%
Y 1
 
2.3%
Other values (4) 4
 
9.3%
Decimal Number
ValueCountFrequency (%)
4 3
21.4%
0 3
21.4%
6 3
21.4%
8 2
14.3%
9 1
 
7.1%
3 1
 
7.1%
1 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
c 1
20.0%
t 1
20.0%
p 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 5878
99.9%
, 5
 
0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 796
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 362
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14672
54.2%
Common 12352
45.6%
Latin 48
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1355
 
9.2%
파 994
 
6.8%
송 963
 
6.6%
시 875
 
6.0%
구 867
 
5.9%
서 866
 
5.9%
별 866
 
5.9%
울 865
 
5.9%
특 865
 
5.9%
지 790
 
5.4%
Other values (218) 5366
36.6%
Latin
ValueCountFrequency (%)
B 12
25.0%
A 7
14.6%
C 4
 
8.3%
K 4
 
8.3%
S 3
 
6.2%
T 2
 
4.2%
L 2
 
4.2%
a 2
 
4.2%
D 2
 
4.2%
V 2
 
4.2%
Other values (8) 8
16.7%
Common
ValueCountFrequency (%)
* 5878
47.6%
5170
41.9%
- 796
 
6.4%
_ 362
 
2.9%
) 63
 
0.5%
( 63
 
0.5%
, 5
 
< 0.1%
4 3
 
< 0.1%
0 3
 
< 0.1%
6 3
 
< 0.1%
Other values (5) 6
 
< 0.1%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14672
54.2%
ASCII 12400
45.8%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5878
47.4%
5170
41.7%
- 796
 
6.4%
_ 362
 
2.9%
) 63
 
0.5%
( 63
 
0.5%
B 12
 
0.1%
A 7
 
0.1%
, 5
 
< 0.1%
C 4
 
< 0.1%
Other values (23) 40
 
0.3%
Hangul
ValueCountFrequency (%)
동 1355
 
9.2%
파 994
 
6.8%
송 963
 
6.6%
시 875
 
6.0%
구 867
 
5.9%
서 866
 
5.9%
별 866
 
5.9%
울 865
 
5.9%
특 865
 
5.9%
지 790
 
5.4%
Other values (218) 5366
36.6%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명주소
Text

MISSING 

Distinct659
Distinct (%)78.9%
Missing43
Missing (%)4.9%
Memory size7.0 KiB
2024-05-11T15:30:54.535137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length34.165269
Min length22

Characters and Unicode

Total characters28528
Distinct characters283
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique567 ?
Unique (%)67.9%

Sample

1st row서울특별시 송파구 올림픽로**길 *** (신천동, 장미상가 *-*호)
2nd row서울특별시 송파구 마천로 ***, *동 *호 (오금동,_)
3rd row서울특별시 송파구 중대로 ***, 칠성빌딩 ***동 **호 (가락동)
4th row서울특별시 송파구 백제고분로**길 *, *동 *호 (삼전동,_)
5th row서울특별시 송파구 백제고분로**길 **, *동 *호 (삼전동,_)
ValueCountFrequency (%)
870
15.8%
서울특별시 835
15.2%
송파구 835
15.2%
호 532
 
9.7%
동 414
 
7.5%
문정동 127
 
2.3%
백제고분로**길 96
 
1.7%
가락동 91
 
1.7%
방이동 76
 
1.4%
석촌동 74
 
1.3%
Other values (406) 1560
28.3%
2024-05-11T15:30:55.239572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4763
16.7%
* 4599
16.1%
동 1349
 
4.7%
, 1181
 
4.1%
송 1054
 
3.7%
파 1032
 
3.6%
) 891
 
3.1%
( 891
 
3.1%
로 850
 
3.0%
시 843
 
3.0%
Other values (273) 11075
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15612
54.7%
Other Punctuation 5782
 
20.3%
Space Separator 4763
 
16.7%
Close Punctuation 891
 
3.1%
Open Punctuation 891
 
3.1%
Connector Punctuation 334
 
1.2%
Dash Punctuation 151
 
0.5%
Uppercase Letter 62
 
0.2%
Decimal Number 32
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1349
 
8.6%
송 1054
 
6.8%
파 1032
 
6.6%
로 850
 
5.4%
시 843
 
5.4%
서 838
 
5.4%
울 837
 
5.4%
구 836
 
5.4%
특 835
 
5.3%
별 835
 
5.3%
Other values (236) 6303
40.4%
Uppercase Letter
ValueCountFrequency (%)
B 18
29.0%
A 12
19.4%
C 9
14.5%
D 5
 
8.1%
S 5
 
8.1%
K 4
 
6.5%
V 2
 
3.2%
Y 2
 
3.2%
H 2
 
3.2%
L 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
2 12
37.5%
1 7
21.9%
0 4
 
12.5%
6 3
 
9.4%
4 2
 
6.2%
8 2
 
6.2%
5 1
 
3.1%
9 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
p 2
22.2%
c 1
11.1%
e 1
11.1%
s 1
11.1%
u 1
11.1%
o 1
11.1%
y 1
11.1%
a 1
11.1%
Other Punctuation
ValueCountFrequency (%)
* 4599
79.5%
, 1181
 
20.4%
. 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4763
100.0%
Close Punctuation
ValueCountFrequency (%)
) 891
100.0%
Open Punctuation
ValueCountFrequency (%)
( 891
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15612
54.7%
Common 12845
45.0%
Latin 71
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1349
 
8.6%
송 1054
 
6.8%
파 1032
 
6.6%
로 850
 
5.4%
시 843
 
5.4%
서 838
 
5.4%
울 837
 
5.4%
구 836
 
5.4%
특 835
 
5.3%
별 835
 
5.3%
Other values (236) 6303
40.4%
Latin
ValueCountFrequency (%)
B 18
25.4%
A 12
16.9%
C 9
12.7%
D 5
 
7.0%
S 5
 
7.0%
K 4
 
5.6%
V 2
 
2.8%
Y 2
 
2.8%
H 2
 
2.8%
p 2
 
2.8%
Other values (10) 10
14.1%
Common
ValueCountFrequency (%)
4763
37.1%
* 4599
35.8%
, 1181
 
9.2%
) 891
 
6.9%
( 891
 
6.9%
_ 334
 
2.6%
- 151
 
1.2%
2 12
 
0.1%
1 7
 
0.1%
0 4
 
< 0.1%
Other values (7) 12
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15612
54.7%
ASCII 12916
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4763
36.9%
* 4599
35.6%
, 1181
 
9.1%
) 891
 
6.9%
( 891
 
6.9%
_ 334
 
2.6%
- 151
 
1.2%
B 18
 
0.1%
A 12
 
0.1%
2 12
 
0.1%
Other values (27) 64
 
0.5%
Hangul
ValueCountFrequency (%)
동 1349
 
8.6%
송 1054
 
6.8%
파 1032
 
6.6%
로 850
 
5.4%
시 843
 
5.4%
서 838
 
5.4%
울 837
 
5.4%
구 836
 
5.4%
특 835
 
5.3%
별 835
 
5.3%
Other values (236) 6303
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)55.5%
Missing552
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean16725.564
Minimum5500
Maximum138960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T15:30:55.562477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5500
5-th percentile5533
Q15626.25
median5719.5
Q35836
95-th percentile138827.75
Maximum138960
Range133460
Interquartile range (IQR)209.75

Descriptive statistics

Standard deviation36726.868
Coefficient of variation (CV)2.1958522
Kurtosis7.2941059
Mean16725.564
Median Absolute Deviation (MAD)110
Skewness3.0412569
Sum5452534
Variance1.3488628 × 109
MonotonicityNot monotonic
2024-05-11T15:30:55.816788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5854 19
 
2.2%
5836 12
 
1.4%
5855 10
 
1.1%
5510 8
 
0.9%
5838 8
 
0.9%
5719 7
 
0.8%
5839 6
 
0.7%
5578 5
 
0.6%
5840 5
 
0.6%
5808 4
 
0.5%
Other values (171) 242
27.6%
(Missing) 552
62.9%
ValueCountFrequency (%)
5500 1
 
0.1%
5502 1
 
0.1%
5504 1
 
0.1%
5510 8
0.9%
5514 1
 
0.1%
5515 1
 
0.1%
5523 1
 
0.1%
5528 1
 
0.1%
5532 2
 
0.2%
5536 1
 
0.1%
ValueCountFrequency (%)
138960 2
0.2%
138925 1
0.1%
138874 1
0.1%
138863 2
0.2%
138855 1
0.1%
138852 1
0.1%
138849 1
0.1%
138848 1
0.1%
138845 1
0.1%
138835 1
0.1%

사업장명
Text

Distinct821
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-05-11T15:30:56.284774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.0512528
Min length1

Characters and Unicode

Total characters5313
Distinct characters407
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique773 ?
Unique (%)88.0%

Sample

1st row종합광고
2nd row지상광고
3rd row(주)다능
4th row국가유공자광고
5th row영익광고
ValueCountFrequency (%)
주식회사 24
 
2.6%
디자인 7
 
0.8%
하나광고 5
 
0.5%
주 5
 
0.5%
프로싸인 4
 
0.4%
서울광고 3
 
0.3%
명성광고 3
 
0.3%
우진기획 3
 
0.3%
태양광고 3
 
0.3%
영상광고 2
 
0.2%
Other values (830) 874
93.7%
2024-05-11T15:30:56.956307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 314
 
5.9%
) 258
 
4.9%
( 257
 
4.8%
인 206
 
3.9%
기 171
 
3.2%
디 169
 
3.2%
광 162
 
3.0%
고 151
 
2.8%
이 149
 
2.8%
획 147
 
2.8%
Other values (397) 3329
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4629
87.1%
Close Punctuation 258
 
4.9%
Open Punctuation 257
 
4.8%
Uppercase Letter 56
 
1.1%
Space Separator 55
 
1.0%
Dash Punctuation 32
 
0.6%
Decimal Number 18
 
0.3%
Other Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 314
 
6.8%
인 206
 
4.5%
기 171
 
3.7%
디 169
 
3.7%
광 162
 
3.5%
고 151
 
3.3%
이 149
 
3.2%
획 147
 
3.2%
자 126
 
2.7%
드 114
 
2.5%
Other values (367) 2920
63.1%
Uppercase Letter
ValueCountFrequency (%)
S 11
19.6%
M 5
8.9%
G 5
8.9%
C 5
8.9%
T 4
 
7.1%
B 4
 
7.1%
I 4
 
7.1%
D 3
 
5.4%
P 3
 
5.4%
N 3
 
5.4%
Other values (9) 9
16.1%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
0 6
33.3%
1 4
22.2%
3 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
& 3
37.5%
, 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4628
87.1%
Common 628
 
11.8%
Latin 56
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 314
 
6.8%
인 206
 
4.5%
기 171
 
3.7%
디 169
 
3.7%
광 162
 
3.5%
고 151
 
3.3%
이 149
 
3.2%
획 147
 
3.2%
자 126
 
2.7%
드 114
 
2.5%
Other values (366) 2919
63.1%
Latin
ValueCountFrequency (%)
S 11
19.6%
M 5
8.9%
G 5
8.9%
C 5
8.9%
T 4
 
7.1%
B 4
 
7.1%
I 4
 
7.1%
D 3
 
5.4%
P 3
 
5.4%
N 3
 
5.4%
Other values (9) 9
16.1%
Common
ValueCountFrequency (%)
) 258
41.1%
( 257
40.9%
55
 
8.8%
- 32
 
5.1%
2 7
 
1.1%
0 6
 
1.0%
. 4
 
0.6%
1 4
 
0.6%
& 3
 
0.5%
3 1
 
0.2%
Han
ValueCountFrequency (%)
舊 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4628
87.1%
ASCII 684
 
12.9%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 314
 
6.8%
인 206
 
4.5%
기 171
 
3.7%
디 169
 
3.7%
광 162
 
3.5%
고 151
 
3.3%
이 149
 
3.2%
획 147
 
3.2%
자 126
 
2.7%
드 114
 
2.5%
Other values (366) 2919
63.1%
ASCII
ValueCountFrequency (%)
) 258
37.7%
( 257
37.6%
55
 
8.0%
- 32
 
4.7%
S 11
 
1.6%
2 7
 
1.0%
0 6
 
0.9%
M 5
 
0.7%
G 5
 
0.7%
C 5
 
0.7%
Other values (20) 43
 
6.3%
CJK
ValueCountFrequency (%)
舊 1
100.0%

최종수정일자
Date

Distinct516
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum1993-08-25 00:00:00
Maximum2024-05-03 10:32:16
2024-05-11T15:30:57.223113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:57.457944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
I
745 
U
133 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 745
84.9%
U 133
 
15.1%

Length

2024-05-11T15:30:57.771945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:57.948089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 745
84.9%
u 133
 
15.1%

데이터갱신일자
Date

Distinct148
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:30:58.127998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:58.767242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing878
Missing (%)100.0%
Memory size7.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct674
Distinct (%)79.7%
Missing32
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean210079.99
Minimum203143.58
Maximum213977.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T15:30:59.009286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203143.58
5-th percentile207240.81
Q1208956.37
median210302.96
Q3211059.6
95-th percentile212809.89
Maximum213977.36
Range10833.772
Interquartile range (IQR)2103.238

Descriptive statistics

Standard deviation1624.0384
Coefficient of variation (CV)0.0077305715
Kurtosis0.20958789
Mean210079.99
Median Absolute Deviation (MAD)928.33968
Skewness-0.22333752
Sum1.7772767 × 108
Variance2637500.6
MonotonicityNot monotonic
2024-05-11T15:30:59.256909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 8
 
0.9%
209140.885315651 8
 
0.9%
210627.0 6
 
0.7%
210780.126180232 6
 
0.7%
209248.063694462 5
 
0.6%
210431.832858016 5
 
0.6%
210480.282018702 5
 
0.6%
210476.0 4
 
0.5%
208233.926974585 4
 
0.5%
206978.093333333 4
 
0.5%
Other values (664) 791
90.1%
(Missing) 32
 
3.6%
ValueCountFrequency (%)
203143.583584843 1
 
0.1%
203583.588331524 1
 
0.1%
204480.409675388 1
 
0.1%
206383.829438022 1
 
0.1%
206835.849181736 1
 
0.1%
206895.380256076 1
 
0.1%
206900.84547168 1
 
0.1%
206908.348523164 3
0.3%
206914.005245094 1
 
0.1%
206916.75835 1
 
0.1%
ValueCountFrequency (%)
213977.355937651 1
 
0.1%
213926.029560738 1
 
0.1%
213804.301677029 1
 
0.1%
213741.880572806 1
 
0.1%
213729.211513264 1
 
0.1%
213695.965410222 1
 
0.1%
213682.364835589 1
 
0.1%
213666.976577387 1
 
0.1%
213615.728454099 1
 
0.1%
213573.796663898 3
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct673
Distinct (%)79.6%
Missing32
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean444468.74
Minimum440388.88
Maximum448570.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-05-11T15:30:59.518172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440388.88
5-th percentile442369.18
Q1443698.6
median444542.79
Q3445237.95
95-th percentile446061.44
Maximum448570.77
Range8181.8866
Interquartile range (IQR)1539.3481

Descriptive statistics

Standard deviation1234.6476
Coefficient of variation (CV)0.0027778052
Kurtosis0.7891198
Mean444468.74
Median Absolute Deviation (MAD)743.05614
Skewness0.13580068
Sum3.7602055 × 108
Variance1524354.6
MonotonicityNot monotonic
2024-05-11T15:30:59.863797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 8
 
0.9%
446042.592367722 8
 
0.9%
441730.920486073 6
 
0.7%
442875.0 6
 
0.7%
446061.439207259 5
 
0.6%
441833.16323518 5
 
0.6%
443465.4592322 5
 
0.6%
445435.257647797 4
 
0.5%
442586.0 4
 
0.5%
445479.071666667 4
 
0.5%
Other values (663) 791
90.1%
(Missing) 32
 
3.6%
ValueCountFrequency (%)
440388.881512115 1
 
0.1%
441152.794990224 1
 
0.1%
441725.293491662 8
0.9%
441730.920486073 6
0.7%
441833.16323518 5
0.6%
441953.803802768 1
 
0.1%
442026.988783 2
 
0.2%
442042.800882549 2
 
0.2%
442049.870090752 1
 
0.1%
442053.227933005 1
 
0.1%
ValueCountFrequency (%)
448570.768143492 1
0.1%
448439.202290106 1
0.1%
448260.075051861 1
0.1%
448246.644645749 1
0.1%
448227.639785088 1
0.1%
448202.431833539 1
0.1%
448124.064308305 1
0.1%
448103.899688148 1
0.1%
448065.259271494 1
0.1%
447980.153459308 1
0.1%

영업내용
Text

MISSING 

Distinct82
Distinct (%)10.2%
Missing71
Missing (%)8.1%
Memory size7.0 KiB
2024-05-11T15:31:00.230716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length5
Mean length5.8475836
Min length3

Characters and Unicode

Total characters4719
Distinct characters100
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)8.4%

Sample

1st row옥외광고물
2nd row옥외광고물
3rd row옥외광고물
4th row옥외광고물
5th row옥외광고물
ValueCountFrequency (%)
옥외광고물 570
59.6%
옥외광고업 84
 
8.8%
옥외광고사업 65
 
6.8%
제작 29
 
3.0%
및 27
 
2.8%
광고물제작 17
 
1.8%
광고대행 17
 
1.8%
광고물 12
 
1.3%
대행 9
 
0.9%
설치 8
 
0.8%
Other values (81) 118
 
12.3%
2024-05-11T15:31:00.782836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 815
17.3%
고 814
17.2%
외 753
16.0%
옥 751
15.9%
물 624
13.2%
업 168
 
3.6%
149
 
3.2%
제 76
 
1.6%
작 72
 
1.5%
사 67
 
1.4%
Other values (90) 430
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4527
95.9%
Space Separator 149
 
3.2%
Other Punctuation 37
 
0.8%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 815
18.0%
고 814
18.0%
외 753
16.6%
옥 751
16.6%
물 624
13.8%
업 168
 
3.7%
제 76
 
1.7%
작 72
 
1.6%
사 67
 
1.5%
대 38
 
0.8%
Other values (84) 349
7.7%
Other Punctuation
ValueCountFrequency (%)
, 32
86.5%
. 4
 
10.8%
/ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4526
95.9%
Common 192
 
4.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 815
18.0%
고 814
18.0%
외 753
16.6%
옥 751
16.6%
물 624
13.8%
업 168
 
3.7%
제 76
 
1.7%
작 72
 
1.6%
사 67
 
1.5%
대 38
 
0.8%
Other values (83) 348
7.7%
Common
ValueCountFrequency (%)
149
77.6%
, 32
 
16.7%
. 4
 
2.1%
) 3
 
1.6%
( 3
 
1.6%
/ 1
 
0.5%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4526
95.9%
ASCII 192
 
4.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 815
18.0%
고 814
18.0%
외 753
16.6%
옥 751
16.6%
물 624
13.8%
업 168
 
3.7%
제 76
 
1.7%
작 72
 
1.6%
사 67
 
1.5%
대 38
 
0.8%
Other values (83) 348
7.7%
ASCII
ValueCountFrequency (%)
149
77.6%
, 32
 
16.7%
. 4
 
2.1%
) 3
 
1.6%
( 3
 
1.6%
/ 1
 
0.5%
CJK
ValueCountFrequency (%)
外 1
100.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03230000198432301400850006819840713<NA>1영업/정상20정상<NA><NA><NA><NA>024132092<NA><NA>서울특별시 송파구 신천동 *번지 장미상가 *-*호서울특별시 송파구 올림픽로**길 *** (신천동, 장미상가 *-*호)5504종합광고2015-10-19 10:26:16I2018-08-31 23:59:59.0<NA>208707.089898446299.352775옥외광고물
13230000198632301400850000219860701<NA>3폐업40폐업20050510<NA><NA><NA>02 406 6752<NA><NA>서울특별시 송파구 오금동 ***-**번지 *통*반 _ *동 *호서울특별시 송파구 마천로 ***, *동 *호 (오금동,_)<NA>지상광고2008-01-10 10:51:43I2018-08-31 23:59:59.0<NA>212367.334675444417.036436옥외광고물
2323000019883230140085000451988-07-16<NA>2휴업30휴업<NA>2023-10-182033-10-18<NA>02 408 4889<NA><NA>서울특별시 송파구 가락동 *** 칠성빌딩 ***동 **호서울특별시 송파구 중대로 ***, 칠성빌딩 ***동 **호 (가락동)5822(주)다능2023-10-24 13:56:16U2022-10-30 22:06:00.0<NA>211103.025292444089.396416<NA>
33230000198832301400850008119880716<NA>3폐업40폐업19980926<NA><NA><NA>02 422 1131<NA><NA>서울특별시 송파구 신천동 **-*번지 *통*반 시영apt ***동 ***호<NA><NA>국가유공자광고2008-01-10 10:51:43I2018-08-31 23:59:59.0<NA>209866.032154446442.77154옥외광고물
43230000198832301400850013919880420<NA>3폐업40폐업20080827<NA><NA><NA>02 417 8371<NA><NA>서울특별시 송파구 삼전동 **-*번지 *통*반 _ *동 *호서울특별시 송파구 백제고분로**길 *, *동 *호 (삼전동,_)<NA>영익광고2008-08-27 13:45:36I2018-08-31 23:59:59.0<NA>207894.334331444709.551957옥외광고물
53230000198832301400850014019880420<NA>3폐업40폐업19970708<NA><NA><NA>02 421 1186<NA><NA>서울특별시 송파구 삼전동 ***-*번지 *통*반 _ *동 *호서울특별시 송파구 백제고분로**길 **, *동 *호 (삼전동,_)<NA>한성기획2008-01-10 10:51:43I2018-08-31 23:59:59.0<NA>208389.127133444666.873121옥외광고물
63230000198832301400850014119880420<NA>1영업/정상20정상<NA><NA><NA><NA>02 415 0672<NA><NA>서울특별시 송파구 삼전동 **-*번지서울특별시 송파구 백제고분로**길 ** (삼전동, 보건당약국)5600거창광고2015-10-16 17:39:28I2018-08-31 23:59:59.0<NA>208224.736525444925.726167옥외광고물
73230000198832301400850014719880420<NA>3폐업40폐업19970708<NA><NA><NA>02 420 1521<NA><NA>서울특별시 송파구 삼전동 **-*번지 *통*반 _ *동 *호서울특별시 송파구 삼전로**길 **, *동 *호 (삼전동,_)<NA>두손기획2008-01-10 10:51:43I2018-08-31 23:59:59.0<NA>207958.577031444842.262518옥외광고물
83230000198932301400850003519890510<NA>3폐업40폐업20021125<NA><NA><NA>02 402 6406<NA><NA>서울특별시 송파구 송파동 ***-**번지 *통*반 _ *동 *호서울특별시 송파구 오금로**길 *, *동 *호 (송파동,_)<NA>뉴시대디자인2008-01-10 10:51:43I2018-08-31 23:59:59.0<NA>209921.155071445219.334226옥외광고물
93230000198932301400850003719890510<NA>3폐업40폐업19960708<NA><NA><NA>02 421 1187<NA><NA>서울특별시 송파구 방이동 ***-*번지 *통*반 _ *동 *호서울특별시 송파구 오금로**길 *, *동 *호 (방이동,_)<NA>중앙디자인2008-01-10 10:51:43I2018-08-31 23:59:59.0<NA>210599.437199444995.684656옥외광고물
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
868323000020233230303085000022023-04-11<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파대로**길 *-*, ***호 (가락동)5831주식회사 리온코퍼레이션2023-04-12 08:56:09I2022-12-04 22:06:00.0<NA>210649.396599443117.250905<NA>
869323000020233230303085000032014-03-05<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***서울특별시 송파구 송이로**길 **, ***호 (가락동)5825위트커뮤니케이션2023-07-05 09:32:15I2022-12-07 00:07:00.0<NA>211004.480083443760.829298<NA>
870323000020233230303085000042023-07-28<NA>1영업/정상20정상<NA><NA><NA><NA>16701204<NA><NA>서울특별시 송파구 문정동 ***-* 문정역SKV*서울특별시 송파구 법원로 ***, 문정역SKV* A동 ***호 (문정동)5854(주)엘에스엠케이2024-05-03 10:32:16U2023-12-05 00:05:00.0<NA><NA><NA><NA>
871323000020233230303085000052021-12-28<NA>1영업/정상20정상<NA><NA><NA><NA>02 522 9856<NA><NA>경기도 성남시 수정구 창곡동 ***-*서울특별시 송파구 백제고분로 ***, 나노빌딩 *층 (방이동)5631디자인그룹메카 주식회사2023-11-02 08:53:59U2022-11-01 00:04:00.0<NA>212270.616949440388.881512<NA>
872323000020233230303085000062023-12-01<NA>1영업/정상20정상<NA><NA><NA><NA>024244264<NA><NA><NA>서울특별시 송파구 오금로**길 **, 다우빌딩 *층 (오금동)5660(사)서울특별시옥외광고협회 송파구지부2024-05-03 10:29:51U2023-12-05 00:05:00.0<NA>211349.067245444909.376397<NA>
873323000020243230303085000012022-08-09<NA>1영업/정상20정상<NA><NA><NA><NA>02 400 7557<NA><NA>서울특별시 송파구 가락동 **서울특별시 송파구 양재대로**길 **, *층 (가락동)5715바라다기획2024-02-01 09:51:07I2023-12-02 00:03:00.0<NA>210888.096199444132.199603<NA>
874323000020243230303085000022024-02-13<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 **-* 지*층서울특별시 송파구 성내천로 ***, 지*층 (마천동)5752스윗트리올2024-05-03 10:29:11U2023-12-05 00:05:00.0<NA>213345.044083444169.329973<NA>
875323000020243230303085000032024-03-13<NA>1영업/정상20정상<NA><NA><NA><NA>0317215661<NA><NA>서울특별시 송파구 문정동 *** 송파 테라타워*서울특별시 송파구 송파대로 ***, 송파 테라타워* B동 ****호, ****호 (문정동)5854(주)그린아이티코리아2024-05-03 10:28:50U2023-12-05 00:05:00.0<NA><NA><NA><NA>
876323000020243230303085000042024-03-15<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 신천동 *-** 한국광고문화회관 **층 *호서울특별시 송파구 올림픽로**길 ***, 한국광고문화회관 **층 *호 (신천동)5510(사)한국오오에이치협회2024-03-15 10:32:16I2023-12-02 23:07:00.0<NA>208738.593846445977.157638<NA>
877323000020243230303085000052024-04-11<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정대명벨리온서울특별시 송파구 법원로 ***, 문정대명벨리온 **층 ****호 (문정동)5836태동플래닝2024-04-11 13:42:52I2023-12-03 23:03:00.0<NA><NA><NA><NA>