Overview

Dataset statistics

Number of variables26
Number of observations287
Missing cells1946
Missing cells (%)26.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.3 KiB
Average record size in memory222.5 B

Variable types

Categorical8
Numeric4
DateTime4
Unsupported5
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17832/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태코드 is highly imbalanced (53.1%)Imbalance
상세영업상태명 is highly imbalanced (53.1%)Imbalance
휴업시작일자 is highly imbalanced (95.0%)Imbalance
휴업종료일자 is highly imbalanced (95.0%)Imbalance
인허가취소일자 has 287 (100.0%) missing valuesMissing
폐업일자 has 186 (64.8%) missing valuesMissing
재개업일자 has 287 (100.0%) missing valuesMissing
전화번호 has 48 (16.7%) missing valuesMissing
소재지면적 has 287 (100.0%) missing valuesMissing
소재지우편번호 has 287 (100.0%) missing valuesMissing
도로명주소 has 23 (8.0%) missing valuesMissing
도로명우편번호 has 186 (64.8%) missing valuesMissing
업태구분명 has 287 (100.0%) missing valuesMissing
좌표정보(X) has 14 (4.9%) missing valuesMissing
좌표정보(Y) has 14 (4.9%) missing valuesMissing
영업내용 has 38 (13.2%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2024-04-06 12:11:19.889798
Analysis finished2024-04-06 12:11:20.799971
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3050000
287 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 287
100.0%

Length

2024-04-06T21:11:20.924755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:21.186296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 287
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct287
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0046848 × 1018
Minimum1.994305 × 1018
Maximum2.024305 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T21:11:21.397960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.994305 × 1018
5-th percentile1.996305 × 1018
Q11.998305 × 1018
median2.002305 × 1018
Q32.009305 × 1018
95-th percentile2.021305 × 1018
Maximum2.024305 × 1018
Range3.0000016 × 1016
Interquartile range (IQR)1.1000003 × 1016

Descriptive statistics

Standard deviation7.6289874 × 1015
Coefficient of variation (CV)0.0038055795
Kurtosis-0.14010643
Mean2.0046848 × 1018
Median Absolute Deviation (MAD)4 × 1015
Skewness0.95704889
Sum3.4954716 × 1018
Variance5.8201449 × 1031
MonotonicityStrictly increasing
2024-04-06T21:11:21.701715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1994305008708200110 1
 
0.3%
1994305008708200113 1
 
0.3%
2006305008808500406 1
 
0.3%
2006305008808500405 1
 
0.3%
2006305008808500404 1
 
0.3%
2006305008808500403 1
 
0.3%
2006305008808500402 1
 
0.3%
2006305008808500401 1
 
0.3%
2006305008808500400 1
 
0.3%
2006305008808500399 1
 
0.3%
Other values (277) 277
96.5%
ValueCountFrequency (%)
1994305008708200110 1
0.3%
1994305008708200113 1
0.3%
1994305008708200115 1
0.3%
1994305008708200116 1
0.3%
1994305008708200118 1
0.3%
1994305008708200122 1
0.3%
1995305008708200147 1
0.3%
1995305008708200157 1
0.3%
1995305008708200164 1
0.3%
1995305008708200165 1
0.3%
ValueCountFrequency (%)
2024305024908500004 1
0.3%
2024305024908500003 1
0.3%
2024305024908500002 1
0.3%
2024305024908500001 1
0.3%
2023305023608500002 1
0.3%
2023305023608500001 1
0.3%
2022305016808500003 1
0.3%
2022305016808500002 1
0.3%
2021305016808500009 1
0.3%
2021305016808500008 1
0.3%

인허가일자
Date

Distinct235
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1991-12-31 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T21:11:21.990522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:11:22.294383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3
192 
1
89 
4
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 192
66.9%
1 89
31.0%
4 5
 
1.7%
2 1
 
0.3%

Length

2024-04-06T21:11:23.080552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:23.271286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 192
66.9%
1 89
31.0%
4 5
 
1.7%
2 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
192 
영업/정상
89 
취소/말소/만료/정지/중지
 
5
휴업
 
1

Length

Max length14
Median length2
Mean length3.1393728
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 192
66.9%
영업/정상 89
31.0%
취소/말소/만료/정지/중지 5
 
1.7%
휴업 1
 
0.3%

Length

2024-04-06T21:11:23.548307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:23.896350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 192
66.9%
영업/정상 89
31.0%
취소/말소/만료/정지/중지 5
 
1.7%
휴업 1
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
40
192 
20
87 
70
 
5
1
 
2
30
 
1

Length

Max length2
Median length2
Mean length1.9930314
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
40 192
66.9%
20 87
30.3%
70 5
 
1.7%
1 2
 
0.7%
30 1
 
0.3%

Length

2024-04-06T21:11:24.207351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:24.476670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 192
66.9%
20 87
30.3%
70 5
 
1.7%
1 2
 
0.7%
30 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
192 
정상
87 
취소
 
5
<NA>
 
2
휴업
 
1

Length

Max length4
Median length2
Mean length2.0139373
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 192
66.9%
정상 87
30.3%
취소 5
 
1.7%
<NA> 2
 
0.7%
휴업 1
 
0.3%

Length

2024-04-06T21:11:24.720060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:24.990042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 192
66.9%
정상 87
30.3%
취소 5
 
1.7%
na 2
 
0.7%
휴업 1
 
0.3%

폐업일자
Date

MISSING 

Distinct91
Distinct (%)90.1%
Missing186
Missing (%)64.8%
Memory size2.4 KiB
Minimum1996-08-30 00:00:00
Maximum2023-12-19 00:00:00
2024-04-06T21:11:25.313312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:11:25.560518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
284 
20010610
 
1
20011110
 
1
20210607
 
1

Length

Max length8
Median length4
Mean length4.0418118
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 284
99.0%
20010610 1
 
0.3%
20011110 1
 
0.3%
20210607 1
 
0.3%

Length

2024-04-06T21:11:25.818124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:26.030049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
99.0%
20010610 1
 
0.3%
20011110 1
 
0.3%
20210607 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
284 
20021210
 
1
20041230
 
1
20230606
 
1

Length

Max length8
Median length4
Mean length4.0418118
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 284
99.0%
20021210 1
 
0.3%
20041230 1
 
0.3%
20230606 1
 
0.3%

Length

2024-04-06T21:11:26.340669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:26.553209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
99.0%
20021210 1
 
0.3%
20041230 1
 
0.3%
20230606 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct236
Distinct (%)98.7%
Missing48
Missing (%)16.7%
Memory size2.4 KiB
2024-04-06T21:11:26.966287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.799163
Min length7

Characters and Unicode

Total characters2581
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

Unique233 ?
Unique (%)97.5%

Sample

1st row02 22139479
2nd row02 957 3304
3rd row02 9600793
4th row02 22484599
5th row0222166657
ValueCountFrequency (%)
02 165
35.7%
966 6
 
1.3%
960 5
 
1.1%
962 5
 
1.1%
923 4
 
0.9%
957 3
 
0.6%
965 3
 
0.6%
924 3
 
0.6%
922 3
 
0.6%
22484113 3
 
0.6%
Other values (253) 262
56.7%
2024-04-06T21:11:27.740799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 614
23.8%
0 361
14.0%
335
13.0%
9 210
 
8.1%
4 192
 
7.4%
6 177
 
6.9%
1 164
 
6.4%
3 154
 
6.0%
5 137
 
5.3%
7 131
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2246
87.0%
Space Separator 335
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 614
27.3%
0 361
16.1%
9 210
 
9.3%
4 192
 
8.5%
6 177
 
7.9%
1 164
 
7.3%
3 154
 
6.9%
5 137
 
6.1%
7 131
 
5.8%
8 106
 
4.7%
Space Separator
ValueCountFrequency (%)
335
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2581
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 614
23.8%
0 361
14.0%
335
13.0%
9 210
 
8.1%
4 192
 
7.4%
6 177
 
6.9%
1 164
 
6.4%
3 154
 
6.0%
5 137
 
5.3%
7 131
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 614
23.8%
0 361
14.0%
335
13.0%
9 210
 
8.1%
4 192
 
7.4%
6 177
 
6.9%
1 164
 
6.4%
3 154
 
6.0%
5 137
 
5.3%
7 131
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

지번주소
Text

Distinct144
Distinct (%)50.5%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2024-04-06T21:11:28.141228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length24.445614
Min length18

Characters and Unicode

Total characters6967
Distinct characters106
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

Unique106 ?
Unique (%)37.2%

Sample

1st row서울특별시 동대문구 장안동 ***-*번지
2nd row서울특별시 동대문구 용두동 **-***번지
3rd row서울특별시 동대문구 제기동 ***-**번지
4th row서울특별시 동대문구 장안동 ***-**
5th row서울특별시 동대문구 휘경동 ***-*번지
ValueCountFrequency (%)
서울특별시 285
22.6%
동대문구 285
22.6%
번지 202
16.0%
94
 
7.5%
장안동 80
 
6.3%
용두동 44
 
3.5%
답십리동 41
 
3.3%
호 28
 
2.2%
이문동 24
 
1.9%
층 24
 
1.9%
Other values (39) 153
12.1%
2024-04-06T21:11:28.788568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1379
19.8%
1207
17.3%
동 583
 
8.4%
문 310
 
4.4%
서 287
 
4.1%
대 287
 
4.1%
시 286
 
4.1%
구 286
 
4.1%
울 285
 
4.1%
특 285
 
4.1%
Other values (96) 1772
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4103
58.9%
Other Punctuation 1380
 
19.8%
Space Separator 1207
 
17.3%
Dash Punctuation 264
 
3.8%
Uppercase Letter 6
 
0.1%
Decimal Number 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 583
14.2%
문 310
 
7.6%
서 287
 
7.0%
대 287
 
7.0%
시 286
 
7.0%
구 286
 
7.0%
울 285
 
6.9%
특 285
 
6.9%
별 285
 
6.9%
지 204
 
5.0%
Other values (82) 1005
24.5%
Decimal Number
ValueCountFrequency (%)
2 1
20.0%
1 1
20.0%
3 1
20.0%
0 1
20.0%
6 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
D 1
 
16.7%
I 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1379
99.9%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4103
58.9%
Common 2858
41.0%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 583
14.2%
문 310
 
7.6%
서 287
 
7.0%
대 287
 
7.0%
시 286
 
7.0%
구 286
 
7.0%
울 285
 
6.9%
특 285
 
6.9%
별 285
 
6.9%
지 204
 
5.0%
Other values (82) 1005
24.5%
Common
ValueCountFrequency (%)
* 1379
48.3%
1207
42.2%
- 264
 
9.2%
2 1
 
< 0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
0 1
 
< 0.1%
6 1
 
< 0.1%
) 1
 
< 0.1%
/ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 4
66.7%
D 1
 
16.7%
I 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4103
58.9%
ASCII 2864
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1379
48.1%
1207
42.1%
- 264
 
9.2%
B 4
 
0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
0 1
 
< 0.1%
6 1
 
< 0.1%
) 1
 
< 0.1%
Other values (4) 4
 
0.1%
Hangul
ValueCountFrequency (%)
동 583
14.2%
문 310
 
7.6%
서 287
 
7.0%
대 287
 
7.0%
시 286
 
7.0%
구 286
 
7.0%
울 285
 
6.9%
특 285
 
6.9%
별 285
 
6.9%
지 204
 
5.0%
Other values (82) 1005
24.5%

도로명주소
Text

MISSING 

Distinct211
Distinct (%)79.9%
Missing23
Missing (%)8.0%
Memory size2.4 KiB
2024-04-06T21:11:29.195341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length28.19697
Min length20

Characters and Unicode

Total characters7444
Distinct characters135
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

Unique173 ?
Unique (%)65.5%

Sample

1st row서울특별시 동대문구 답십리로**길 ** (장안동)
2nd row서울특별시 동대문구 천호대로**길 ** (용두동)
3rd row서울특별시 동대문구 한천로**길 ** (장안동)
4th row서울특별시 동대문구 망우로 ** (휘경동)
5th row서울특별시 동대문구 답십리로**길 **, *층 (답십리동)
ValueCountFrequency (%)
서울특별시 264
18.5%
동대문구 264
18.5%
264
18.5%
장안동 73
 
5.1%
용두동 38
 
2.7%
층 36
 
2.5%
답십리동 36
 
2.5%
호 29
 
2.0%
답십리로**길 21
 
1.5%
이문동 21
 
1.5%
Other values (114) 381
26.7%
2024-04-06T21:11:29.871689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1270
17.1%
* 994
 
13.4%
동 552
 
7.4%
대 311
 
4.2%
문 302
 
4.1%
시 272
 
3.7%
서 268
 
3.6%
울 266
 
3.6%
구 265
 
3.6%
로 265
 
3.6%
Other values (125) 2679
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4504
60.5%
Space Separator 1270
 
17.1%
Other Punctuation 1092
 
14.7%
Close Punctuation 264
 
3.5%
Open Punctuation 264
 
3.5%
Dash Punctuation 38
 
0.5%
Uppercase Letter 9
 
0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 552
 
12.3%
대 311
 
6.9%
문 302
 
6.7%
시 272
 
6.0%
서 268
 
6.0%
울 266
 
5.9%
구 265
 
5.9%
로 265
 
5.9%
별 264
 
5.9%
특 264
 
5.9%
Other values (111) 1475
32.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
55.6%
D 2
 
22.2%
A 1
 
11.1%
I 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 994
91.0%
, 96
 
8.8%
/ 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
8 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
1270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4504
60.5%
Common 2931
39.4%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 552
 
12.3%
대 311
 
6.9%
문 302
 
6.7%
시 272
 
6.0%
서 268
 
6.0%
울 266
 
5.9%
구 265
 
5.9%
로 265
 
5.9%
별 264
 
5.9%
특 264
 
5.9%
Other values (111) 1475
32.7%
Common
ValueCountFrequency (%)
1270
43.3%
* 994
33.9%
) 264
 
9.0%
( 264
 
9.0%
, 96
 
3.3%
- 38
 
1.3%
/ 2
 
0.1%
2 1
 
< 0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 5
55.6%
D 2
 
22.2%
A 1
 
11.1%
I 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4504
60.5%
ASCII 2940
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1270
43.2%
* 994
33.8%
) 264
 
9.0%
( 264
 
9.0%
, 96
 
3.3%
- 38
 
1.3%
B 5
 
0.2%
/ 2
 
0.1%
D 2
 
0.1%
2 1
 
< 0.1%
Other values (4) 4
 
0.1%
Hangul
ValueCountFrequency (%)
동 552
 
12.3%
대 311
 
6.9%
문 302
 
6.7%
시 272
 
6.0%
서 268
 
6.0%
울 266
 
5.9%
구 265
 
5.9%
로 265
 
5.9%
별 264
 
5.9%
특 264
 
5.9%
Other values (111) 1475
32.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)74.3%
Missing186
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean36835.069
Minimum2406
Maximum130868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T21:11:30.183326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2406
5-th percentile2435
Q12522
median2599
Q3130804
95-th percentile130842
Maximum130868
Range128462
Interquartile range (IQR)128282

Descriptive statistics

Standard deviation57045.767
Coefficient of variation (CV)1.5486809
Kurtosis-0.87844112
Mean36835.069
Median Absolute Deviation (MAD)90
Skewness1.0673979
Sum3720342
Variance3.2542196 × 109
MonotonicityNot monotonic
2024-04-06T21:11:30.457322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2583 4
 
1.4%
2460 3
 
1.0%
2488 3
 
1.0%
2644 3
 
1.0%
2610 3
 
1.0%
130838 3
 
1.0%
2525 2
 
0.7%
2633 2
 
0.7%
2597 2
 
0.7%
2585 2
 
0.7%
Other values (65) 74
 
25.8%
(Missing) 186
64.8%
ValueCountFrequency (%)
2406 1
0.3%
2418 1
0.3%
2419 1
0.3%
2424 1
0.3%
2425 1
0.3%
2435 1
0.3%
2439 1
0.3%
2440 1
0.3%
2446 1
0.3%
2452 1
0.3%
ValueCountFrequency (%)
130868 1
 
0.3%
130864 1
 
0.3%
130862 2
0.7%
130843 1
 
0.3%
130842 1
 
0.3%
130841 1
 
0.3%
130839 2
0.7%
130838 3
1.0%
130837 2
0.7%
130836 2
0.7%

사업장명
Text

Distinct270
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-06T21:11:30.920564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length5.2334495
Min length1

Characters and Unicode

Total characters1502
Distinct characters261
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

Unique257 ?
Unique (%)89.5%

Sample

1st row하나광고
2nd row현대광고
3rd row태광사
4th row대화기획
5th row현대광고
ValueCountFrequency (%)
홍익광고 4
 
1.4%
현대광고 3
 
1.0%
가나광고 3
 
1.0%
k-애드 2
 
0.7%
아벨기획 2
 
0.7%
대진기획 2
 
0.7%
일이공사 2
 
0.7%
동양광고 2
 
0.7%
혜원종합광고 2
 
0.7%
아키디자인 2
 
0.7%
Other values (268) 271
91.9%
2024-04-06T21:11:31.653863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 89
 
5.9%
고 79
 
5.3%
기 70
 
4.7%
획 56
 
3.7%
인 53
 
3.5%
주 50
 
3.3%
) 46
 
3.1%
( 46
 
3.1%
사 38
 
2.5%
디 35
 
2.3%
Other values (251) 940
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1365
90.9%
Close Punctuation 46
 
3.1%
Open Punctuation 46
 
3.1%
Lowercase Letter 19
 
1.3%
Uppercase Letter 14
 
0.9%
Space Separator 8
 
0.5%
Dash Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 89
 
6.5%
고 79
 
5.8%
기 70
 
5.1%
획 56
 
4.1%
인 53
 
3.9%
주 50
 
3.7%
사 38
 
2.8%
디 35
 
2.6%
이 31
 
2.3%
자 27
 
2.0%
Other values (227) 837
61.3%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
i 2
10.5%
n 2
10.5%
m 2
10.5%
p 2
10.5%
c 2
10.5%
t 1
 
5.3%
r 1
 
5.3%
k 1
 
5.3%
y 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
K 3
21.4%
M 3
21.4%
S 2
14.3%
R 2
14.3%
P 2
14.3%
G 1
 
7.1%
J 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
3 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1365
90.9%
Common 104
 
6.9%
Latin 33
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 89
 
6.5%
고 79
 
5.8%
기 70
 
5.1%
획 56
 
4.1%
인 53
 
3.9%
주 50
 
3.7%
사 38
 
2.8%
디 35
 
2.6%
이 31
 
2.3%
자 27
 
2.0%
Other values (227) 837
61.3%
Latin
ValueCountFrequency (%)
o 4
12.1%
K 3
 
9.1%
M 3
 
9.1%
i 2
 
6.1%
n 2
 
6.1%
m 2
 
6.1%
p 2
 
6.1%
c 2
 
6.1%
S 2
 
6.1%
R 2
 
6.1%
Other values (8) 9
27.3%
Common
ValueCountFrequency (%)
) 46
44.2%
( 46
44.2%
8
 
7.7%
- 2
 
1.9%
6 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1365
90.9%
ASCII 137
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 89
 
6.5%
고 79
 
5.8%
기 70
 
5.1%
획 56
 
4.1%
인 53
 
3.9%
주 50
 
3.7%
사 38
 
2.8%
디 35
 
2.6%
이 31
 
2.3%
자 27
 
2.0%
Other values (227) 837
61.3%
ASCII
ValueCountFrequency (%)
) 46
33.6%
( 46
33.6%
8
 
5.8%
o 4
 
2.9%
K 3
 
2.2%
M 3
 
2.2%
i 2
 
1.5%
n 2
 
1.5%
m 2
 
1.5%
p 2
 
1.5%
Other values (14) 19
13.9%

최종수정일자
Date

UNIQUE 

Distinct287
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1998-08-01 00:00:00
Maximum2024-04-01 16:03:55
2024-04-06T21:11:31.954270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:11:32.262364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
I
190 
U
97 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 190
66.2%
U 97
33.8%

Length

2024-04-06T21:11:32.551670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:32.731660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 190
66.2%
u 97
33.8%

데이터갱신일자
Date

Distinct71
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T21:11:32.938415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:11:33.242422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)90.5%
Missing14
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean204635.37
Minimum202022.65
Maximum206524.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T21:11:33.533862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202022.65
5-th percentile202346.63
Q1203586.17
median204979.26
Q3205787.12
95-th percentile206177.53
Maximum206524.12
Range4501.4707
Interquartile range (IQR)2200.9574

Descriptive statistics

Standard deviation1312.721
Coefficient of variation (CV)0.0064149275
Kurtosis-1.0670118
Mean204635.37
Median Absolute Deviation (MAD)912.54238
Skewness-0.51838327
Sum55865455
Variance1723236.5
MonotonicityNot monotonic
2024-04-06T21:11:33.848474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202582.400008891 3
 
1.0%
204979.255018577 3
 
1.0%
204316.122954379 3
 
1.0%
205726.123528197 2
 
0.7%
206162.986259812 2
 
0.7%
202661.25487153 2
 
0.7%
204399.083398765 2
 
0.7%
205073.044772452 2
 
0.7%
202122.306512622 2
 
0.7%
204352.503712237 2
 
0.7%
Other values (237) 250
87.1%
(Missing) 14
 
4.9%
ValueCountFrequency (%)
202022.650035503 1
0.3%
202048.107902098 1
0.3%
202081.516316998 1
0.3%
202122.306512622 2
0.7%
202174.322410313 1
0.3%
202196.042575334 1
0.3%
202197.738894415 1
0.3%
202203.755478871 1
0.3%
202213.142496967 1
0.3%
202216.332434542 1
0.3%
ValueCountFrequency (%)
206524.120752695 1
0.3%
206489.457295721 1
0.3%
206471.969845204 1
0.3%
206408.533936 1
0.3%
206393.113996213 1
0.3%
206392.499103327 1
0.3%
206383.684379945 2
0.7%
206338.297273249 1
0.3%
206329.347066097 1
0.3%
206312.735517645 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)90.5%
Missing14
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean452897.52
Minimum451045.9
Maximum455774.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T21:11:34.107468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451045.9
5-th percentile451202.38
Q1452177.07
median452720.06
Q3453621.65
95-th percentile455032.98
Maximum455774.4
Range4728.5003
Interquartile range (IQR)1444.5788

Descriptive statistics

Standard deviation1086.5455
Coefficient of variation (CV)0.002399098
Kurtosis-0.015001928
Mean452897.52
Median Absolute Deviation (MAD)659.70158
Skewness0.58407618
Sum1.2364102 × 108
Variance1180581.2
MonotonicityNot monotonic
2024-04-06T21:11:34.460573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452590.534661505 3
 
1.0%
454438.365857943 3
 
1.0%
453452.65159687 3
 
1.0%
452224.960197608 2
 
0.7%
451957.496740385 2
 
0.7%
452869.897982511 2
 
0.7%
453656.481200804 2
 
0.7%
452070.854092897 2
 
0.7%
452538.19565994 2
 
0.7%
452344.190736671 2
 
0.7%
Other values (237) 250
87.1%
(Missing) 14
 
4.9%
ValueCountFrequency (%)
451045.898346812 1
0.3%
451065.321633611 1
0.3%
451094.412855942 1
0.3%
451103.146980087 1
0.3%
451104.428484125 1
0.3%
451116.190855629 1
0.3%
451116.622867751 1
0.3%
451120.5353714 1
0.3%
451143.974833143 1
0.3%
451167.624821007 1
0.3%
ValueCountFrequency (%)
455774.398634748 1
0.3%
455771.62005247 1
0.3%
455666.135356238 1
0.3%
455662.280999534 1
0.3%
455648.207759372 1
0.3%
455646.76013145 1
0.3%
455645.107621663 1
0.3%
455632.80646752 1
0.3%
455229.048024538 1
0.3%
455161.127389691 2
0.7%

영업내용
Text

MISSING 

Distinct57
Distinct (%)22.9%
Missing38
Missing (%)13.2%
Memory size2.4 KiB
2024-04-06T21:11:34.972245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length8.3534137
Min length1

Characters and Unicode

Total characters2080
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)17.3%

Sample

1st row옥외광고물제작
2nd row옥외광고물제작
3rd row옥외광고물제작
4th row옥외광고물제작
5th row옥외광고물제작
ValueCountFrequency (%)
옥외광고물제작 148
33.3%
및 68
15.3%
설치 61
13.7%
제작 35
 
7.9%
옥외광고물 26
 
5.9%
광고물제작 10
 
2.3%
폐업 9
 
2.0%
옥외광고물제작및설치 7
 
1.6%
없음 7
 
1.6%
간판제작 6
 
1.4%
Other values (44) 67
15.1%
2024-04-06T21:11:35.627377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 216
10.4%
제 216
10.4%
광 215
10.3%
작 212
10.2%
물 204
9.8%
197
9.5%
옥 190
9.1%
외 190
9.1%
및 78
 
3.8%
설 70
 
3.4%
Other values (57) 292
14.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1850
88.9%
Space Separator 197
 
9.5%
Other Punctuation 16
 
0.8%
Decimal Number 15
 
0.7%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 216
11.7%
제 216
11.7%
광 215
11.6%
작 212
11.5%
물 204
11.0%
옥 190
10.3%
외 190
10.3%
및 78
 
4.2%
설 70
 
3.8%
치 70
 
3.8%
Other values (44) 189
10.2%
Decimal Number
ValueCountFrequency (%)
6 3
20.0%
2 3
20.0%
9 2
13.3%
8 2
13.3%
1 2
13.3%
0 2
13.3%
3 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 12
75.0%
. 3
 
18.8%
? 1
 
6.2%
Space Separator
ValueCountFrequency (%)
197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
☏ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1850
88.9%
Common 230
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 216
11.7%
제 216
11.7%
광 215
11.6%
작 212
11.5%
물 204
11.0%
옥 190
10.3%
외 190
10.3%
및 78
 
4.2%
설 70
 
3.8%
치 70
 
3.8%
Other values (44) 189
10.2%
Common
ValueCountFrequency (%)
197
85.7%
, 12
 
5.2%
6 3
 
1.3%
2 3
 
1.3%
. 3
 
1.3%
9 2
 
0.9%
8 2
 
0.9%
1 2
 
0.9%
0 2
 
0.9%
? 1
 
0.4%
Other values (3) 3
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1850
88.9%
ASCII 229
 
11.0%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 216
11.7%
제 216
11.7%
광 215
11.6%
작 212
11.5%
물 204
11.0%
옥 190
10.3%
외 190
10.3%
및 78
 
4.2%
설 70
 
3.8%
치 70
 
3.8%
Other values (44) 189
10.2%
ASCII
ValueCountFrequency (%)
197
86.0%
, 12
 
5.2%
6 3
 
1.3%
2 3
 
1.3%
. 3
 
1.3%
9 2
 
0.9%
8 2
 
0.9%
1 2
 
0.9%
0 2
 
0.9%
? 1
 
0.4%
Other values (2) 2
 
0.9%
Misc Symbols
ValueCountFrequency (%)
☏ 1
100.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03050000199430500870820011019980331<NA>3폐업40폐업<NA><NA><NA><NA>02 22139479<NA><NA>서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 답십리로**길 ** (장안동)<NA>하나광고2016-04-18 10:14:00I2018-08-31 23:59:59.0<NA>206017.139022452305.451292옥외광고물제작
13050000199430500870820011319940609<NA>3폐업40폐업19960830<NA><NA><NA>02 957 3304<NA><NA>서울특별시 동대문구 용두동 **-***번지서울특별시 동대문구 천호대로**길 ** (용두동)<NA>현대광고2016-04-15 17:23:32I2018-08-31 23:59:59.0<NA>203630.371251452576.496761옥외광고물제작
23050000199430500870820011519940718<NA>3폐업40폐업<NA><NA><NA><NA>02 9600793<NA><NA>서울특별시 동대문구 제기동 ***-**번지<NA><NA>태광사2008-11-14 13:43:09I2018-08-31 23:59:59.0<NA><NA><NA>옥외광고물제작
33050000199430500870820011619940725<NA>1영업/정상20정상<NA><NA><NA><NA>02 22484599<NA><NA>서울특별시 동대문구 장안동 ***-**서울특별시 동대문구 한천로**길 ** (장안동)<NA>대화기획2021-09-08 17:01:03U2021-09-10 02:40:00.0<NA>205825.869149452175.939325옥외광고물제작
43050000199430500870820011819940727<NA>3폐업40폐업<NA><NA><NA><NA>0222166657<NA><NA>서울특별시 동대문구 휘경동 ***-*번지서울특별시 동대문구 망우로 ** (휘경동)<NA>현대광고2008-11-17 10:15:54I2018-08-31 23:59:59.0<NA>205479.936775454195.709063옥외광고물제작
53050000199430500870820012219940823<NA>3폐업40폐업<NA><NA><NA><NA>02 9531769<NA><NA>서울특별시 동대문구 신설동 **-*번지<NA><NA>탑광고사2008-11-12 11:21:37I2018-08-31 23:59:59.0<NA>202048.107902452732.089734옥외광고물제작
6305000019953050087082001472024-03-12<NA>1영업/정상20정상<NA><NA><NA><NA>02 22490845<NA><NA>서울특별시 동대문구 답십리동 ***서울특별시 동대문구 답십리로**길 **, *층 (답십리동)2610청맥디자인2024-03-13 15:45:53U2023-12-02 23:06:00.0<NA><NA><NA><NA>
73050000199530500870820015719950925<NA>3폐업40폐업20181029<NA><NA><NA>02 22485412<NA><NA>서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 한천로**길 ** (장안동)<NA>장일광고2018-10-31 11:36:36U2018-11-02 02:36:23.0<NA>205870.644638451570.157182옥외광고물제작
83050000199530500870820016419950913<NA>3폐업40폐업<NA><NA><NA><NA>0222480695<NA><NA>서울특별시 동대문구 장안동 ***-**번지서울특별시 동대문구 한천로**길 * (장안동)<NA>아람광고2008-11-13 16:08:17I2018-08-31 23:59:59.0<NA>205712.879737452063.581403옥외광고물제작
93050000199530500870820016519951125<NA>1영업/정상20정상<NA><NA><NA><NA>02 953 1714<NA><NA>서울특별시 동대문구 용두동 ***-*번지서울특별시 동대문구 한빛로 ** (용두동)<NA>아원기획2015-08-04 17:13:02I2018-08-31 23:59:59.0<NA>202466.472203452936.214606옥외광고물제작
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
2773050000202130501680850000820211207<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 ***-**서울특별시 동대문구 망우로 *, 대영빌딩 *층 (휘경동)2491(주)건명2022-01-04 17:14:22U2022-01-06 02:40:00.0<NA>204700.164041453952.701368광고대행업
2783050000202130501680850000920211229<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*서울특별시 동대문구 장한로 **, *층 A-**호 (장안동)2629달리는 청년들2021-12-29 15:31:08I2021-12-31 00:22:51.0<NA>205858.614104451494.590429간판,철거,인테리어
2793050000202230501680850000220220726<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 회기동 **-**서울특별시 동대문구 회기로 ***, *층 (회기동)2460광고나라2022-07-26 17:37:31I2021-12-06 22:08:00.0<NA>204653.014331454280.805178<NA>
2803050000202230501680850000320220728<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 **-* 로얄팰리스 B동서울특별시 동대문구 한빛로 **, B동 (신설동, 로얄팰리스)2581이음컴퍼니2022-07-28 10:48:31I2021-12-06 21:00:00.0<NA>202216.332435452885.338012<NA>
281305000020233050236085000012023-04-25<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 한천로 ***-*, *층 (이문동)2425사인투비2023-04-25 16:28:00I2022-12-04 22:06:00.0<NA>205902.918657455005.487697<NA>
282305000020233050236085000022023-05-04<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*서울특별시 동대문구 천호대로**길 ** (장안동)2644사인플러그2023-05-04 13:04:22I2022-12-05 00:07:00.0<NA>206028.481081451240.594511<NA>
283305000020243050249085000012024-01-08<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-**서울특별시 동대문구 천호대로**길 ** (용두동)2583SM디자인2024-01-08 14:09:00U2023-11-30 23:00:00.0<NA>202582.400009452590.534662<NA>
284305000020243050249085000022024-01-08<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리로**가길 ** (답십리동)2614아벨기획2024-01-08 15:45:56I2023-11-30 23:00:00.0<NA>205073.044772452070.854093<NA>
285305000020243050249085000032024-02-29<NA>1영업/정상20정상<NA><NA><NA><NA>02 966 2787<NA><NA>서울특별시 동대문구 제기동 ***-*서울특별시 동대문구 제기로 **, *층 (제기동)2478시소2024-03-03 11:26:50I2023-12-03 00:05:00.0<NA>203239.882826453786.147833<NA>
286305000020243050249085000042024-04-01<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 *** 회기역 하트리움서울특별시 동대문구 망우로 **, ***동 *층 유니콘 **호 (휘경동, 회기역 하트리움)2496하트플래닛컴퍼니주식회사2024-04-01 16:03:55I2023-12-04 00:03:00.0<NA><NA><NA><NA>