Overview

Dataset statistics

Number of variables26
Number of observations921
Missing cells5179
Missing cells (%)21.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory197.1 KiB
Average record size in memory219.1 B

Variable types

Categorical9
Numeric3
DateTime4
Unsupported4
Text6

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17828/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (63.3%)Imbalance
영업상태명 is highly imbalanced (63.3%)Imbalance
상세영업상태코드 is highly imbalanced (68.0%)Imbalance
상세영업상태명 is highly imbalanced (68.0%)Imbalance
휴업시작일자 is highly imbalanced (94.1%)Imbalance
휴업종료일자 is highly imbalanced (94.1%)Imbalance
재개업일자 is highly imbalanced (97.9%)Imbalance
인허가취소일자 has 921 (100.0%) missing valuesMissing
폐업일자 has 191 (20.7%) missing valuesMissing
전화번호 has 119 (12.9%) missing valuesMissing
소재지면적 has 921 (100.0%) missing valuesMissing
소재지우편번호 has 921 (100.0%) missing valuesMissing
도로명주소 has 153 (16.6%) missing valuesMissing
도로명우편번호 has 736 (79.9%) missing valuesMissing
업태구분명 has 921 (100.0%) missing valuesMissing
좌표정보(X) has 97 (10.5%) missing valuesMissing
좌표정보(Y) has 97 (10.5%) missing valuesMissing
영업내용 has 99 (10.7%) 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 06:16:39.028859
Analysis finished2024-05-11 06:16:40.347697
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
3010000
921 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 921
100.0%

Length

2024-05-11T15:16:40.460299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:40.623112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 921
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct921
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0014346 × 1018
Minimum1.988301 × 1018
Maximum2.024301 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-05-11T15:16:40.877901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988301 × 1018
5-th percentile1.988301 × 1018
Q11.994301 × 1018
median2.000301 × 1018
Q32.007301 × 1018
95-th percentile2.019301 × 1018
Maximum2.024301 × 1018
Range3.6000014 × 1016
Interquartile range (IQR)1.3000001 × 1016

Descriptive statistics

Standard deviation9.0997259 × 1015
Coefficient of variation (CV)0.0045466018
Kurtosis-0.61011451
Mean2.0014346 × 1018
Median Absolute Deviation (MAD)6.0000015 × 1015
Skewness0.4785589
Sum-1.3531779 × 1018
Variance8.2805012 × 1031
MonotonicityStrictly increasing
2024-05-11T15:16:41.156824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988301007508200001 1
 
0.1%
2004301009008200027 1
 
0.1%
2004301009008200029 1
 
0.1%
2004301009008200030 1
 
0.1%
2004301009008200031 1
 
0.1%
2004301009008500001 1
 
0.1%
2004301011108500041 1
 
0.1%
2005301009008200001 1
 
0.1%
2005301009008200002 1
 
0.1%
2005301009008200003 1
 
0.1%
Other values (911) 911
98.9%
ValueCountFrequency (%)
1988301007508200001 1
0.1%
1988301007508200002 1
0.1%
1988301007508200003 1
0.1%
1988301007508200004 1
0.1%
1988301007508200005 1
0.1%
1988301007508200006 1
0.1%
1988301007508200007 1
0.1%
1988301007508200008 1
0.1%
1988301007508200009 1
0.1%
1988301007508200010 1
0.1%
ValueCountFrequency (%)
2024301021808500001 1
0.1%
2023301021808500005 1
0.1%
2023301021808500004 1
0.1%
2023301021808500003 1
0.1%
2023301021808500002 1
0.1%
2023301021808500001 1
0.1%
2022301018608500008 1
0.1%
2022301018608500006 1
0.1%
2022301018608500005 1
0.1%
2022301018608500004 1
0.1%

인허가일자
Date

Distinct737
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum1988-07-07 00:00:00
Maximum2024-01-08 00:00:00
2024-05-11T15:16:41.413181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:41.648111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing921
Missing (%)100.0%
Memory size8.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
3
759 
1
153 
4
 
6
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 759
82.4%
1 153
 
16.6%
4 6
 
0.7%
2 3
 
0.3%

Length

2024-05-11T15:16:41.853611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:42.035485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 759
82.4%
1 153
 
16.6%
4 6
 
0.7%
2 3
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
폐업
759 
영업/정상
153 
취소/말소/만료/정지/중지
 
6
휴업
 
3

Length

Max length14
Median length2
Mean length2.5765472
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 759
82.4%
영업/정상 153
 
16.6%
취소/말소/만료/정지/중지 6
 
0.7%
휴업 3
 
0.3%

Length

2024-05-11T15:16:42.286662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:42.469900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 759
82.4%
영업/정상 153
 
16.6%
취소/말소/만료/정지/중지 6
 
0.7%
휴업 3
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
40
759 
20
152 
70
 
6
30
 
3
1
 
1

Length

Max length2
Median length2
Mean length1.9989142
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
40 759
82.4%
20 152
 
16.5%
70 6
 
0.7%
30 3
 
0.3%
1 1
 
0.1%

Length

2024-05-11T15:16:42.653794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:42.815878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 759
82.4%
20 152
 
16.5%
70 6
 
0.7%
30 3
 
0.3%
1 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
폐업
759 
정상
152 
취소
 
6
휴업
 
3
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0021716
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 759
82.4%
정상 152
 
16.5%
취소 6
 
0.7%
휴업 3
 
0.3%
<NA> 1
 
0.1%

Length

2024-05-11T15:16:42.996784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:43.160557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 759
82.4%
정상 152
 
16.5%
취소 6
 
0.7%
휴업 3
 
0.3%
na 1
 
0.1%

폐업일자
Date

MISSING 

Distinct377
Distinct (%)51.6%
Missing191
Missing (%)20.7%
Memory size7.3 KiB
Minimum1990-02-03 00:00:00
Maximum2023-12-14 00:00:00
2024-05-11T15:16:43.352584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:43.558096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
902 
19981026
 
12
20050101
 
1
20210531
 
1
20070827
 
1
Other values (4)
 
4

Length

Max length10
Median length4
Mean length4.0846906
Min length4

Unique

Unique7 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 902
97.9%
19981026 12
 
1.3%
20050101 1
 
0.1%
20210531 1
 
0.1%
20070827 1
 
0.1%
20140218 1
 
0.1%
20110527 1
 
0.1%
2023-11-27 1
 
0.1%
20190812 1
 
0.1%

Length

2024-05-11T15:16:43.723745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:43.886796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 902
97.9%
19981026 12
 
1.3%
20050101 1
 
0.1%
20210531 1
 
0.1%
20070827 1
 
0.1%
20140218 1
 
0.1%
20110527 1
 
0.1%
2023-11-27 1
 
0.1%
20190812 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
902 
19981231
 
12
20051231
 
1
20220530
 
1
20101028
 
1
Other values (4)
 
4

Length

Max length10
Median length4
Mean length4.0846906
Min length4

Unique

Unique7 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 902
97.9%
19981231 12
 
1.3%
20051231 1
 
0.1%
20220530 1
 
0.1%
20101028 1
 
0.1%
20150217 1
 
0.1%
20111231 1
 
0.1%
2024-11-26 1
 
0.1%
20191231 1
 
0.1%

Length

2024-05-11T15:16:44.109614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:44.343599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 902
97.9%
19981231 12
 
1.3%
20051231 1
 
0.1%
20220530 1
 
0.1%
20101028 1
 
0.1%
20150217 1
 
0.1%
20111231 1
 
0.1%
2024-11-26 1
 
0.1%
20191231 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
917 
20090406
 
1
20061101
 
1
20140826
 
1
20191209
 
1

Length

Max length8
Median length4
Mean length4.0173724
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 917
99.6%
20090406 1
 
0.1%
20061101 1
 
0.1%
20140826 1
 
0.1%
20191209 1
 
0.1%

Length

2024-05-11T15:16:44.688493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:44.964416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 917
99.6%
20090406 1
 
0.1%
20061101 1
 
0.1%
20140826 1
 
0.1%
20191209 1
 
0.1%

전화번호
Text

MISSING 

Distinct747
Distinct (%)93.1%
Missing119
Missing (%)12.9%
Memory size7.3 KiB
2024-05-11T15:16:45.359434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.417706
Min length2

Characters and Unicode

Total characters8355
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

Unique717 ?
Unique (%)89.4%

Sample

1st row0222663223
2nd row02 7539731
3rd row022666 114
4th row02 2346321
5th row02 7534764
ValueCountFrequency (%)
02 492
37.9%
7790710 3
 
0.2%
7750979 3
 
0.2%
7785586 3
 
0.2%
0222711411 3
 
0.2%
5490999 2
 
0.2%
22320677 2
 
0.2%
751 2
 
0.2%
070 2
 
0.2%
7785048 2
 
0.2%
Other values (759) 784
60.4%
2024-05-11T15:16:45.850800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2152
25.8%
0 1221
14.6%
7 854
 
10.2%
828
 
9.9%
3 618
 
7.4%
6 534
 
6.4%
5 493
 
5.9%
1 477
 
5.7%
8 426
 
5.1%
4 419
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7527
90.1%
Space Separator 828
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2152
28.6%
0 1221
16.2%
7 854
 
11.3%
3 618
 
8.2%
6 534
 
7.1%
5 493
 
6.5%
1 477
 
6.3%
8 426
 
5.7%
4 419
 
5.6%
9 333
 
4.4%
Space Separator
ValueCountFrequency (%)
828
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8355
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2152
25.8%
0 1221
14.6%
7 854
 
10.2%
828
 
9.9%
3 618
 
7.4%
6 534
 
6.4%
5 493
 
5.9%
1 477
 
5.7%
8 426
 
5.1%
4 419
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8355
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2152
25.8%
0 1221
14.6%
7 854
 
10.2%
828
 
9.9%
3 618
 
7.4%
6 534
 
6.4%
5 493
 
5.9%
1 477
 
5.7%
8 426
 
5.1%
4 419
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing921
Missing (%)100.0%
Memory size8.2 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing921
Missing (%)100.0%
Memory size8.2 KiB

지번주소
Text

Distinct521
Distinct (%)56.8%
Missing3
Missing (%)0.3%
Memory size7.3 KiB
2024-05-11T15:16:46.164472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length24.069717
Min length12

Characters and Unicode

Total characters22096
Distinct characters248
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

Unique405 ?
Unique (%)44.1%

Sample

1st row서울특별시 중구 오장동 ***-**번지
2nd row서울특별시 중구 충무로*가 **-*번지
3rd row서울특별시 중구 초동 ***-*번지
4th row서울특별시 중구 황학동 ****번지
5th row서울특별시 중구 북창동 **-*번지
ValueCountFrequency (%)
서울특별시 916
21.6%
중구 907
21.4%
번지 769
18.1%
191
 
4.5%
신당동 159
 
3.7%
을지로*가 154
 
3.6%
호 107
 
2.5%
충무로*가 88
 
2.1%
층 85
 
2.0%
필동*가 72
 
1.7%
Other values (321) 797
18.8%
2024-05-11T15:16:46.706553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4479
20.3%
4118
18.6%
지 939
 
4.2%
서 937
 
4.2%
중 935
 
4.2%
시 931
 
4.2%
구 921
 
4.2%
울 920
 
4.2%
별 917
 
4.2%
특 916
 
4.1%
Other values (238) 6083
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12724
57.6%
Other Punctuation 4487
 
20.3%
Space Separator 4118
 
18.6%
Dash Punctuation 731
 
3.3%
Uppercase Letter 20
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 939
 
7.4%
서 937
 
7.4%
중 935
 
7.3%
시 931
 
7.3%
구 921
 
7.2%
울 920
 
7.2%
별 917
 
7.2%
특 916
 
7.2%
번 769
 
6.0%
동 657
 
5.2%
Other values (219) 3882
30.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
35.0%
A 4
20.0%
C 3
15.0%
K 2
 
10.0%
S 1
 
5.0%
J 1
 
5.0%
W 1
 
5.0%
F 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
6 1
25.0%
7 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 4479
99.8%
, 7
 
0.2%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 731
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12724
57.6%
Common 9352
42.3%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 939
 
7.4%
서 937
 
7.4%
중 935
 
7.3%
시 931
 
7.3%
구 921
 
7.2%
울 920
 
7.2%
별 917
 
7.2%
특 916
 
7.2%
번 769
 
6.0%
동 657
 
5.2%
Other values (219) 3882
30.5%
Common
ValueCountFrequency (%)
* 4479
47.9%
4118
44.0%
- 731
 
7.8%
, 7
 
0.1%
( 6
 
0.1%
) 6
 
0.1%
/ 1
 
< 0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 7
35.0%
A 4
20.0%
C 3
15.0%
K 2
 
10.0%
S 1
 
5.0%
J 1
 
5.0%
W 1
 
5.0%
F 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12724
57.6%
ASCII 9372
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4479
47.8%
4118
43.9%
- 731
 
7.8%
B 7
 
0.1%
, 7
 
0.1%
( 6
 
0.1%
) 6
 
0.1%
A 4
 
< 0.1%
C 3
 
< 0.1%
K 2
 
< 0.1%
Other values (9) 9
 
0.1%
Hangul
ValueCountFrequency (%)
지 939
 
7.4%
서 937
 
7.4%
중 935
 
7.3%
시 931
 
7.3%
구 921
 
7.2%
울 920
 
7.2%
별 917
 
7.2%
특 916
 
7.2%
번 769
 
6.0%
동 657
 
5.2%
Other values (219) 3882
30.5%

도로명주소
Text

MISSING 

Distinct579
Distinct (%)75.4%
Missing153
Missing (%)16.6%
Memory size7.3 KiB
2024-05-11T15:16:47.180019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length28.773438
Min length16

Characters and Unicode

Total characters22098
Distinct characters245
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

Unique482 ?
Unique (%)62.8%

Sample

1st row서울특별시 중구 마른내로 *** (오장동)
2nd row서울특별시 중구 명동*가길 ** (충무로*가)
3rd row서울특별시 중구 수표로**길 ** (초동)
4th row서울특별시 중구 퇴계로 ***-* (황학동)
5th row서울특별시 중구 세종대로**길 ** (북창동)
ValueCountFrequency (%)
804
19.1%
서울특별시 767
18.2%
중구 759
18.0%
호 126
 
3.0%
신당동 102
 
2.4%
을지로*가 94
 
2.2%
층 93
 
2.2%
을지로 71
 
1.7%
퇴계로 65
 
1.5%
퇴계로**길 62
 
1.5%
Other values (400) 1271
30.2%
2024-05-11T15:16:48.089530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3929
17.8%
* 3667
16.6%
로 995
 
4.5%
서 833
 
3.8%
중 788
 
3.6%
구 782
 
3.5%
시 778
 
3.5%
) 771
 
3.5%
울 771
 
3.5%
( 771
 
3.5%
Other values (235) 8013
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12369
56.0%
Other Punctuation 4047
 
18.3%
Space Separator 3929
 
17.8%
Close Punctuation 771
 
3.5%
Open Punctuation 771
 
3.5%
Dash Punctuation 188
 
0.9%
Uppercase Letter 18
 
0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 995
 
8.0%
서 833
 
6.7%
중 788
 
6.4%
구 782
 
6.3%
시 778
 
6.3%
울 771
 
6.2%
별 768
 
6.2%
특 767
 
6.2%
동 650
 
5.3%
가 427
 
3.5%
Other values (217) 4810
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
33.3%
A 5
27.8%
C 2
 
11.1%
K 2
 
11.1%
D 1
 
5.6%
S 1
 
5.6%
F 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
4 1
20.0%
9 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 3667
90.6%
, 379
 
9.4%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3929
100.0%
Close Punctuation
ValueCountFrequency (%)
) 771
100.0%
Open Punctuation
ValueCountFrequency (%)
( 771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12369
56.0%
Common 9711
43.9%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 995
 
8.0%
서 833
 
6.7%
중 788
 
6.4%
구 782
 
6.3%
시 778
 
6.3%
울 771
 
6.2%
별 768
 
6.2%
특 767
 
6.2%
동 650
 
5.3%
가 427
 
3.5%
Other values (217) 4810
38.9%
Common
ValueCountFrequency (%)
3929
40.5%
* 3667
37.8%
) 771
 
7.9%
( 771
 
7.9%
, 379
 
3.9%
- 188
 
1.9%
1 2
 
< 0.1%
/ 1
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 6
33.3%
A 5
27.8%
C 2
 
11.1%
K 2
 
11.1%
D 1
 
5.6%
S 1
 
5.6%
F 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12369
56.0%
ASCII 9729
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3929
40.4%
* 3667
37.7%
) 771
 
7.9%
( 771
 
7.9%
, 379
 
3.9%
- 188
 
1.9%
B 6
 
0.1%
A 5
 
0.1%
C 2
 
< 0.1%
K 2
 
< 0.1%
Other values (8) 9
 
0.1%
Hangul
ValueCountFrequency (%)
로 995
 
8.0%
서 833
 
6.7%
중 788
 
6.4%
구 782
 
6.3%
시 778
 
6.3%
울 771
 
6.2%
별 768
 
6.2%
특 767
 
6.2%
동 650
 
5.3%
가 427
 
3.5%
Other values (217) 4810
38.9%

도로명우편번호
Text

MISSING 

Distinct94
Distinct (%)50.8%
Missing736
Missing (%)79.9%
Memory size7.3 KiB
2024-05-11T15:16:48.548422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3189189
Min length5

Characters and Unicode

Total characters984
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)31.4%

Sample

1st row04558
2nd row04546
3rd row04576
4th row04561
5th row04556
ValueCountFrequency (%)
04549 10
 
5.4%
04550 9
 
4.9%
04626 6
 
3.2%
100846 6
 
3.2%
04547 6
 
3.2%
04623 5
 
2.7%
04627 5
 
2.7%
04558 5
 
2.7%
04555 5
 
2.7%
04561 4
 
2.2%
Other values (84) 124
67.0%
2024-05-11T15:16:49.194150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 287
29.2%
4 177
18.0%
5 153
15.5%
1 100
 
10.2%
6 67
 
6.8%
2 43
 
4.4%
3 43
 
4.4%
7 41
 
4.2%
8 35
 
3.6%
9 33
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 979
99.5%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 287
29.3%
4 177
18.1%
5 153
15.6%
1 100
 
10.2%
6 67
 
6.8%
2 43
 
4.4%
3 43
 
4.4%
7 41
 
4.2%
8 35
 
3.6%
9 33
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 984
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 287
29.2%
4 177
18.0%
5 153
15.5%
1 100
 
10.2%
6 67
 
6.8%
2 43
 
4.4%
3 43
 
4.4%
7 41
 
4.2%
8 35
 
3.6%
9 33
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 287
29.2%
4 177
18.0%
5 153
15.5%
1 100
 
10.2%
6 67
 
6.8%
2 43
 
4.4%
3 43
 
4.4%
7 41
 
4.2%
8 35
 
3.6%
9 33
 
3.4%

사업장명
Text

Distinct866
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-05-11T15:16:49.642778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.1596091
Min length2

Characters and Unicode

Total characters5673
Distinct characters424
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique817 ?
Unique (%)88.7%

Sample

1st row한일기획
2nd row상진기획
3rd row범진기획
4th row현대광고
5th row신영공사
ValueCountFrequency (%)
주식회사 18
 
1.8%
기획 9
 
0.9%
광고 5
 
0.5%
애드 5
 
0.5%
디자인 4
 
0.4%
중앙기획 4
 
0.4%
우성광고 3
 
0.3%
현대광고 3
 
0.3%
중앙광고 3
 
0.3%
대성기획 3
 
0.3%
Other values (914) 968
94.4%
2024-05-11T15:16:50.359447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 333
 
5.9%
) 308
 
5.4%
( 307
 
5.4%
기 209
 
3.7%
획 160
 
2.8%
이 141
 
2.5%
드 129
 
2.3%
인 129
 
2.3%
사 122
 
2.2%
스 117
 
2.1%
Other values (414) 3718
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4800
84.6%
Close Punctuation 308
 
5.4%
Open Punctuation 307
 
5.4%
Space Separator 104
 
1.8%
Uppercase Letter 99
 
1.7%
Lowercase Letter 32
 
0.6%
Other Punctuation 11
 
0.2%
Decimal Number 9
 
0.2%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 333
 
6.9%
기 209
 
4.4%
획 160
 
3.3%
이 141
 
2.9%
드 129
 
2.7%
인 129
 
2.7%
사 122
 
2.5%
스 117
 
2.4%
광 116
 
2.4%
디 113
 
2.4%
Other values (360) 3231
67.3%
Uppercase Letter
ValueCountFrequency (%)
C 12
12.1%
S 12
12.1%
E 8
 
8.1%
I 7
 
7.1%
N 7
 
7.1%
O 7
 
7.1%
T 6
 
6.1%
B 6
 
6.1%
G 5
 
5.1%
J 5
 
5.1%
Other values (12) 24
24.2%
Lowercase Letter
ValueCountFrequency (%)
a 3
9.4%
n 3
9.4%
l 3
9.4%
m 3
9.4%
o 3
9.4%
e 2
 
6.2%
p 2
 
6.2%
y 2
 
6.2%
k 2
 
6.2%
c 2
 
6.2%
Other values (6) 7
21.9%
Decimal Number
ValueCountFrequency (%)
0 2
22.2%
9 2
22.2%
2 2
22.2%
1 1
11.1%
8 1
11.1%
4 1
11.1%
Other Punctuation
ValueCountFrequency (%)
& 4
36.4%
, 3
27.3%
. 2
18.2%
＆ 1
 
9.1%
? 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 308
100.0%
Open Punctuation
ValueCountFrequency (%)
( 307
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4800
84.6%
Common 742
 
13.1%
Latin 131
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 333
 
6.9%
기 209
 
4.4%
획 160
 
3.3%
이 141
 
2.9%
드 129
 
2.7%
인 129
 
2.7%
사 122
 
2.5%
스 117
 
2.4%
광 116
 
2.4%
디 113
 
2.4%
Other values (360) 3231
67.3%
Latin
ValueCountFrequency (%)
C 12
 
9.2%
S 12
 
9.2%
E 8
 
6.1%
I 7
 
5.3%
N 7
 
5.3%
O 7
 
5.3%
T 6
 
4.6%
B 6
 
4.6%
G 5
 
3.8%
J 5
 
3.8%
Other values (28) 56
42.7%
Common
ValueCountFrequency (%)
) 308
41.5%
( 307
41.4%
104
 
14.0%
& 4
 
0.5%
, 3
 
0.4%
0 2
 
0.3%
9 2
 
0.3%
2 2
 
0.3%
. 2
 
0.3%
- 2
 
0.3%
Other values (6) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4800
84.6%
ASCII 872
 
15.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 333
 
6.9%
기 209
 
4.4%
획 160
 
3.3%
이 141
 
2.9%
드 129
 
2.7%
인 129
 
2.7%
사 122
 
2.5%
스 117
 
2.4%
광 116
 
2.4%
디 113
 
2.4%
Other values (360) 3231
67.3%
ASCII
ValueCountFrequency (%)
) 308
35.3%
( 307
35.2%
104
 
11.9%
C 12
 
1.4%
S 12
 
1.4%
E 8
 
0.9%
I 7
 
0.8%
N 7
 
0.8%
O 7
 
0.8%
T 6
 
0.7%
Other values (43) 94
 
10.8%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

Distinct910
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum1988-07-07 00:00:00
Maximum2024-04-01 16:56:22
2024-05-11T15:16:50.581014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:50.830609image/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 size7.3 KiB
I
740 
U
181 

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 740
80.3%
U 181
 
19.7%

Length

2024-05-11T15:16:51.388113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:51.543988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 740
80.3%
u 181
 
19.7%

데이터갱신일자
Date

Distinct133
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T15:16:51.756008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:52.003527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing921
Missing (%)100.0%
Memory size8.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct609
Distinct (%)73.9%
Missing97
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean199482.27
Minimum185450.14
Maximum210613.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-05-11T15:16:52.265901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185450.14
5-th percentile197375.18
Q1198972.1
median199454.35
Q3200380.67
95-th percentile201381.48
Maximum210613.8
Range25163.665
Interquartile range (IQR)1408.5691

Descriptive statistics

Standard deviation1453.1884
Coefficient of variation (CV)0.0072847997
Kurtosis18.427514
Mean199482.27
Median Absolute Deviation (MAD)748.44788
Skewness-1.4722481
Sum1.6437339 × 108
Variance2111756.4
MonotonicityNot monotonic
2024-05-11T15:16:52.512033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197481.848548378 8
 
0.9%
199115.162515675 7
 
0.8%
200225.127140019 7
 
0.8%
199243.595084393 5
 
0.5%
199023.967503662 5
 
0.5%
200999.278749681 5
 
0.5%
199810.591813598 5
 
0.5%
197964.095481472 5
 
0.5%
201287.090009249 4
 
0.4%
200812.162733454 4
 
0.4%
Other values (599) 769
83.5%
(Missing) 97
 
10.5%
ValueCountFrequency (%)
185450.136299833 1
0.1%
189372.263026296 1
0.1%
190996.357288859 1
0.1%
192623.883046886 1
0.1%
192834.905494255 1
0.1%
195801.332676206 1
0.1%
196546.97612053 1
0.1%
196673.180526741 1
0.1%
196689.378204656 1
0.1%
196722.521964636 1
0.1%
ValueCountFrequency (%)
210613.801723814 1
0.1%
202588.205547037 1
0.1%
202246.679683678 1
0.1%
202013.322106429 1
0.1%
201992.033568883 1
0.1%
201981.137601771 1
0.1%
201975.915485642 1
0.1%
201947.084297972 1
0.1%
201928.488232335 1
0.1%
201914.057344349 2
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct609
Distinct (%)73.9%
Missing97
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean451143.26
Minimum441319.72
Maximum474844.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-05-11T15:16:52.772784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441319.72
5-th percentile450280.64
Q1450919.05
median451213.57
Q3451488.79
95-th percentile451701.2
Maximum474844.56
Range33524.841
Interquartile range (IQR)569.74067

Descriptive statistics

Standard deviation1090.5934
Coefficient of variation (CV)0.0024173993
Kurtosis282.84536
Mean451143.26
Median Absolute Deviation (MAD)282.41519
Skewness11.18459
Sum3.7174205 × 108
Variance1189394
MonotonicityNot monotonic
2024-05-11T15:16:53.010978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451269.851755861 8
 
0.9%
451501.106828934 7
 
0.8%
451144.795894028 7
 
0.8%
450951.535436388 5
 
0.5%
451105.474557896 5
 
0.5%
450616.225015801 5
 
0.5%
451300.59780961 5
 
0.5%
451694.035675644 5
 
0.5%
451234.946234972 4
 
0.4%
450541.058630614 4
 
0.4%
Other values (599) 769
83.5%
(Missing) 97
 
10.5%
ValueCountFrequency (%)
441319.717856312 1
0.1%
445018.433564604 1
0.1%
445841.377603245 1
0.1%
446051.327310416 1
0.1%
446224.287686498 1
0.1%
447486.690482767 1
0.1%
449344.223768584 1
0.1%
449575.46108728 1
0.1%
449668.334731592 1
0.1%
449825.425393315 2
0.2%
ValueCountFrequency (%)
474844.558950194 1
0.1%
457646.231331914 1
0.1%
451995.163058 1
0.1%
451908.773811626 1
0.1%
451888.915929071 1
0.1%
451842.045761983 2
0.2%
451837.481623546 1
0.1%
451836.458256618 1
0.1%
451827.973207366 2
0.2%
451827.081005774 1
0.1%

영업내용
Text

MISSING 

Distinct188
Distinct (%)22.9%
Missing99
Missing (%)10.7%
Memory size7.3 KiB
2024-05-11T15:16:53.399860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length10
Mean length9.5924574
Min length2

Characters and Unicode

Total characters7885
Distinct characters146
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

Unique157 ?
Unique (%)19.1%

Sample

1st row광고물제작및대행
2nd row광고물제작 및 대행
3rd row광고물제작 및 대행
4th row광고물제작 및 대행
5th row광고물제작 및 대행
ValueCountFrequency (%)
광고물제작 530
26.0%
및 526
25.8%
대행 509
25.0%
광고대행 45
 
2.2%
제작 35
 
1.7%
옥외광고업 33
 
1.6%
옥외광고물 25
 
1.2%
광고물제작및 21
 
1.0%
옥외광고물제작 21
 
1.0%
광고물 19
 
0.9%
Other values (175) 274
13.4%
2024-05-11T15:16:54.157581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1217
15.4%
광 842
10.7%
고 836
10.6%
제 702
8.9%
작 688
8.7%
물 676
8.6%
대 608
7.7%
행 607
7.7%
및 585
7.4%
옥 135
 
1.7%
Other values (136) 989
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6491
82.3%
Space Separator 1217
 
15.4%
Other Punctuation 124
 
1.6%
Decimal Number 16
 
0.2%
Close Punctuation 12
 
0.2%
Open Punctuation 12
 
0.2%
Uppercase Letter 12
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 842
13.0%
고 836
12.9%
제 702
10.8%
작 688
10.6%
물 676
10.4%
대 608
9.4%
행 607
9.4%
및 585
9.0%
옥 135
 
2.1%
외 135
 
2.1%
Other values (117) 677
10.4%
Uppercase Letter
ValueCountFrequency (%)
E 3
25.0%
D 2
16.7%
L 2
16.7%
O 2
16.7%
P 2
16.7%
M 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
0 5
31.2%
2 4
25.0%
6 3
18.8%
4 2
 
12.5%
1 2
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 99
79.8%
. 10
 
8.1%
/ 10
 
8.1%
? 5
 
4.0%
Space Separator
ValueCountFrequency (%)
1217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6491
82.3%
Common 1382
 
17.5%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 842
13.0%
고 836
12.9%
제 702
10.8%
작 688
10.6%
물 676
10.4%
대 608
9.4%
행 607
9.4%
및 585
9.0%
옥 135
 
2.1%
외 135
 
2.1%
Other values (117) 677
10.4%
Common
ValueCountFrequency (%)
1217
88.1%
, 99
 
7.2%
) 12
 
0.9%
( 12
 
0.9%
. 10
 
0.7%
/ 10
 
0.7%
? 5
 
0.4%
0 5
 
0.4%
2 4
 
0.3%
6 3
 
0.2%
Other values (3) 5
 
0.4%
Latin
ValueCountFrequency (%)
E 3
25.0%
D 2
16.7%
L 2
16.7%
O 2
16.7%
P 2
16.7%
M 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6491
82.3%
ASCII 1394
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1217
87.3%
, 99
 
7.1%
) 12
 
0.9%
( 12
 
0.9%
. 10
 
0.7%
/ 10
 
0.7%
? 5
 
0.4%
0 5
 
0.4%
2 4
 
0.3%
E 3
 
0.2%
Other values (9) 17
 
1.2%
Hangul
ValueCountFrequency (%)
광 842
13.0%
고 836
12.9%
제 702
10.8%
작 688
10.6%
물 676
10.4%
대 608
9.4%
행 607
9.4%
및 585
9.0%
옥 135
 
2.1%
외 135
 
2.1%
Other values (117) 677
10.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03010000198830100750820000119880707<NA>3폐업40폐업20010206<NA><NA><NA>0222663223<NA><NA>서울특별시 중구 오장동 ***-**번지서울특별시 중구 마른내로 *** (오장동)<NA>한일기획2010-12-03 14:14:01I2018-08-31 23:59:59.0<NA>200047.05359451332.199992광고물제작및대행
13010000198830100750820000219880707<NA>3폐업40폐업20010206<NA><NA><NA>02 7539731<NA><NA>서울특별시 중구 충무로*가 **-*번지서울특별시 중구 명동*가길 ** (충무로*가)<NA>상진기획2010-12-03 14:12:00I2018-08-31 23:59:59.0<NA>198816.862302451046.239895광고물제작 및 대행
23010000198830100750820000319880707<NA>3폐업40폐업20051004<NA><NA><NA>022666 114<NA><NA>서울특별시 중구 초동 ***-*번지서울특별시 중구 수표로**길 ** (초동)<NA>범진기획1988-07-07 00:00:00I2018-08-31 23:59:59.0<NA>199193.313779451285.165241광고물제작 및 대행
33010000198830100750820000419880707<NA>3폐업40폐업19940419<NA><NA><NA>02 2346321<NA><NA>서울특별시 중구 황학동 ****번지서울특별시 중구 퇴계로 ***-* (황학동)<NA>현대광고2010-12-03 14:10:37I2018-08-31 23:59:59.0<NA>201898.470565451485.205113광고물제작 및 대행
43010000198830100750820000519880707<NA>3폐업40폐업19990201<NA><NA><NA>02 7534764<NA><NA>서울특별시 중구 북창동 **-*번지서울특별시 중구 세종대로**길 ** (북창동)<NA>신영공사2010-12-03 14:14:24I2018-08-31 23:59:59.0<NA>198018.679927451207.729791광고물제작 및 대행
53010000198830100750820000619880707<NA>3폐업40폐업19980408<NA><NA><NA>02 7762239<NA><NA>서울특별시 중구 충무로*가 **-*번지<NA><NA>명성기획2010-12-03 14:11:37I2018-08-31 23:59:59.0<NA>198866.364917451021.050961광고물제작 및 대행
63010000198830100750820000719880707<NA>1영업/정상20정상<NA><NA><NA><NA>02 2758664<NA><NA>서울특별시 중구 인현동*가 ***-**서울특별시 중구 마른내로 **, *층 (인현동*가)04558미진기업2020-12-04 17:01:20U2020-12-06 02:40:00.0<NA>199588.424178451309.633151광고물제작 및 대행
73010000198830100750820000819880707<NA>3폐업40폐업20110207<NA><NA><NA>02 2661314<NA><NA>서울특별시 중구 주교동 **번지<NA><NA>천일광고2011-02-07 09:43:50I2018-08-31 23:59:59.0<NA><NA><NA>광고물제작 및 대행
83010000198830100750820000919880707<NA>3폐업40폐업20060224<NA><NA><NA>02 2733557<NA><NA>서울특별시 중구 충무로*가 **-**번지 조양빌딩***<NA><NA>(주)이조디자인기획1988-07-07 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>광고물제작 및 대행
93010000198830100750820001019880707<NA>3폐업40폐업20060224<NA><NA><NA>02 7778887<NA><NA>서울특별시 중구 남대문로*가 **-*번지서울특별시 중구 세종대로*나길 ** (남대문로*가)<NA>예광공사1988-07-07 00:00:00I2018-08-31 23:59:59.0<NA>197686.144973450676.173763광고물제작 및 대행
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
9113010000202230101860850000420220407<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동*가 ***-** 인현상가/신성아파트 ***호서울특별시 중구 마른내로 **, 인현상가/신성아파트 ***호 (인현동*가)04558(주)디콤애드2022-04-08 10:01:36I2021-12-03 23:02:00.0<NA>199559.812875451275.242509<NA>
9123010000202230101860850000520191115<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 ***-**서울특별시 중구 충무로 **-* (을지로*가)04549이즈사인2022-06-09 10:28:09U2021-12-05 23:01:00.0<NA>199301.18658451507.93381<NA>
9133010000202230101860850000620220613<NA>1영업/정상20정상<NA><NA><NA><NA>0222770525<NA><NA>서울특별시 중구 필동*가 **-** 성운빌딩서울특별시 중구 서애로*길 **-**, 성운빌딩 ***호 (필동*가)04623(주)플랜에이크리에이티브그룹2022-06-14 10:49:10I2021-12-05 23:06:00.0<NA>199637.678312450731.342832<NA>
9143010000202230101860850000820221117<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 **-** 국제빌딩서울특별시 중구 충무로 **-*, 국제빌딩 *층 ***호 (충무로*가)04555크레비아2022-11-17 15:56:42I2021-10-31 23:09:00.0<NA>199282.256842451198.826211<NA>
915301000020233010218085000012023-05-03<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 쌍림동 ***-** 쌍림빌딩서울특별시 중구 퇴계로 ***, 쌍림빌딩 *층 ***호 (쌍림동)04615공간디자인2023-05-04 09:42:26I2022-12-05 00:07:00.0<NA>200247.098068451193.48296<NA>
916301000020233010218085000022023-05-26<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 예장동 *-**서울특별시 중구 퇴계로**길 **, 예장빌딩 ***호 (예장동)04627다원컴퍼니2023-05-30 09:48:52I2022-12-06 00:01:00.0<NA>199264.232291450843.282815<NA>
917301000020233010218085000032023-09-25<NA>1영업/정상20정상<NA><NA><NA><NA>02 749 5579<NA><NA>서울특별시 중구 필동*가 **-* 중구통일회관서울특별시 중구 서애로 **, 중구통일회관 (필동*가)04623주전기업 주식회사2023-10-25 10:37:07U2022-10-30 22:07:00.0<NA>199693.572507450879.051156<NA>
918301000020233010218085000042023-11-09<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 동호로**길 **, *층 ***호 (신당동)04607주식회사 예스위아2023-11-10 20:37:21I2022-10-31 23:02:00.0<NA>200875.959599450475.271042<NA>
919301000020233010218085000052017-10-19<NA>1영업/정상20정상<NA><NA><NA><NA>02 7294932<NA><NA>서울특별시 중구 을지로*가 *** 파인에비뉴서울특별시 중구 을지로 ***, 파인에비뉴 A동 *,**,**호 (을지로*가)04551한화시스템(주)ICT부문2023-11-17 10:46:18I2022-10-31 23:09:00.0<NA>198921.241301451495.985361<NA>
920301000020243010218085000012024-01-08<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 소공로 **, 동암빌딩 (충무로*가)04535(주)다비치홀딩스2024-01-08 13:34:14I2023-11-30 23:00:00.0<NA>198358.758939450948.455941<NA>