Overview

Dataset statistics

Number of variables26
Number of observations417
Missing cells3176
Missing cells (%)29.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.7 KiB
Average record size in memory220.3 B

Variable types

Categorical7
Numeric4
DateTime5
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17838/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (97.6%)Imbalance
인허가취소일자 has 417 (100.0%) missing valuesMissing
폐업일자 has 134 (32.1%) missing valuesMissing
휴업시작일자 has 413 (99.0%) missing valuesMissing
휴업종료일자 has 413 (99.0%) missing valuesMissing
전화번호 has 79 (18.9%) missing valuesMissing
소재지면적 has 417 (100.0%) missing valuesMissing
소재지우편번호 has 417 (100.0%) missing valuesMissing
도로명주소 has 43 (10.3%) missing valuesMissing
도로명우편번호 has 324 (77.7%) missing valuesMissing
업태구분명 has 417 (100.0%) missing valuesMissing
좌표정보(X) has 37 (8.9%) missing valuesMissing
좌표정보(Y) has 37 (8.9%) missing valuesMissing
영업내용 has 26 (6.2%) 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 started2024-04-18 07:36:22.126091
Analysis finished2024-04-18 07:36:22.695536
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3110000
417 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 417
100.0%

Length

2024-04-18T16:36:22.757092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:22.849452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 417
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct417
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0028122 × 1018
Minimum1.984311 × 1018
Maximum2.024311 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-18T16:36:22.959152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.984311 × 1018
5-th percentile1.991311 × 1018
Q11.995311 × 1018
median2.002311 × 1018
Q32.007311 × 1018
95-th percentile2.020311 × 1018
Maximum2.024311 × 1018
Range4.0000014 × 1016
Interquartile range (IQR)1.2 × 1016

Descriptive statistics

Standard deviation8.9084915 × 1015
Coefficient of variation (CV)0.0044479914
Kurtosis-0.43049593
Mean2.0028122 × 1018
Median Absolute Deviation (MAD)6 × 1015
Skewness0.55512989
Sum5.0692092 × 1018
Variance7.936122 × 1031
MonotonicityStrictly increasing
2024-04-18T16:36:23.100566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1984311011908500004 1
 
0.2%
2007311011908500402 1
 
0.2%
2005311011908500382 1
 
0.2%
2005311011908500381 1
 
0.2%
2005311011908500380 1
 
0.2%
2005311011908500379 1
 
0.2%
2005311011908500378 1
 
0.2%
2005311011908500377 1
 
0.2%
2005311011908500376 1
 
0.2%
2005311011908500374 1
 
0.2%
Other values (407) 407
97.6%
ValueCountFrequency (%)
1984311011908500004 1
0.2%
1988311011908500001 1
0.2%
1988311011908500005 1
0.2%
1988311011908500006 1
0.2%
1988311011908500013 1
0.2%
1988311011908500015 1
0.2%
1988311011908500017 1
0.2%
1988311011908500018 1
0.2%
1988311011908500022 1
0.2%
1988311011908500028 1
0.2%
ValueCountFrequency (%)
2024311026108500002 1
0.2%
2024311026108500001 1
0.2%
2023311026108500004 1
0.2%
2023311026108500003 1
0.2%
2023311026108500002 1
0.2%
2023311026108500001 1
0.2%
2022311023608500005 1
0.2%
2022311023608500004 1
0.2%
2022311023608500003 1
0.2%
2022311023608500002 1
0.2%

인허가일자
Date

Distinct356
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1984-07-16 00:00:00
Maximum2024-02-05 00:00:00
2024-04-18T16:36:23.243926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:36:23.380480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing417
Missing (%)100.0%
Memory size3.8 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
266 
1
102 
4
46 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 266
63.8%
1 102
 
24.5%
4 46
 
11.0%
2 3
 
0.7%

Length

2024-04-18T16:36:23.537219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:23.637388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 266
63.8%
1 102
 
24.5%
4 46
 
11.0%
2 3
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
266 
영업/정상
102 
취소/말소/만료/정지/중지
46 
휴업
 
3

Length

Max length14
Median length2
Mean length4.057554
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 266
63.8%
영업/정상 102
 
24.5%
취소/말소/만료/정지/중지 46
 
11.0%
휴업 3
 
0.7%

Length

2024-04-18T16:36:23.753276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:24.213471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 266
63.8%
영업/정상 102
 
24.5%
취소/말소/만료/정지/중지 46
 
11.0%
휴업 3
 
0.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
40
266 
20
102 
70
46 
30
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 266
63.8%
20 102
 
24.5%
70 46
 
11.0%
30 3
 
0.7%

Length

2024-04-18T16:36:24.345003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:24.480797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 266
63.8%
20 102
 
24.5%
70 46
 
11.0%
30 3
 
0.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
266 
정상
102 
취소
46 
휴업
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 266
63.8%
정상 102
 
24.5%
취소 46
 
11.0%
휴업 3
 
0.7%

Length

2024-04-18T16:36:24.588779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:24.704413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 266
63.8%
정상 102
 
24.5%
취소 46
 
11.0%
휴업 3
 
0.7%

폐업일자
Date

MISSING 

Distinct138
Distinct (%)48.8%
Missing134
Missing (%)32.1%
Memory size3.4 KiB
Minimum1992-05-19 00:00:00
Maximum2023-12-29 00:00:00
2024-04-18T16:36:24.829227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:36:24.958484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing413
Missing (%)99.0%
Memory size3.4 KiB
Minimum2004-07-01 00:00:00
Maximum2024-01-02 00:00:00
2024-04-18T16:36:25.051752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:36:25.143061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing413
Missing (%)99.0%
Memory size3.4 KiB
2024-04-18T16:36:25.267560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9
Min length8

Characters and Unicode

Total characters36
Distinct characters7
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

Unique4 ?
Unique (%)100.0%

Sample

1st row20050701
2nd row2025-01-02
3rd row20211231
4th row1111-11-11
ValueCountFrequency (%)
20050701 1
25.0%
2025-01-02 1
25.0%
20211231 1
25.0%
1111-11-11 1
25.0%
2024-04-18T16:36:25.538909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
36.1%
0 8
22.2%
2 7
19.4%
- 4
 
11.1%
5 2
 
5.6%
7 1
 
2.8%
3 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
88.9%
Dash Punctuation 4
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
40.6%
0 8
25.0%
2 7
21.9%
5 2
 
6.2%
7 1
 
3.1%
3 1
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
36.1%
0 8
22.2%
2 7
19.4%
- 4
 
11.1%
5 2
 
5.6%
7 1
 
2.8%
3 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
36.1%
0 8
22.2%
2 7
19.4%
- 4
 
11.1%
5 2
 
5.6%
7 1
 
2.8%
3 1
 
2.8%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
416 
20211206
 
1

Length

Max length8
Median length4
Mean length4.0095923
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 416
99.8%
20211206 1
 
0.2%

Length

2024-04-18T16:36:25.670431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:25.772454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 416
99.8%
20211206 1
 
0.2%

전화번호
Text

MISSING 

Distinct285
Distinct (%)84.3%
Missing79
Missing (%)18.9%
Memory size3.4 KiB
2024-04-18T16:36:25.988926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.89645
Min length7

Characters and Unicode

Total characters4021
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

Unique257 ?
Unique (%)76.0%

Sample

1st row02 354 7855
2nd row02 354 4500
3rd row02 385 3429
4th row02 385 7612
5th row02 355 9315
ValueCountFrequency (%)
02 331
33.4%
000 23
 
2.3%
358 23
 
2.3%
382 23
 
2.3%
0000 23
 
2.3%
388 19
 
1.9%
354 18
 
1.8%
353 17
 
1.7%
384 16
 
1.6%
383 15
 
1.5%
Other values (306) 484
48.8%
2024-04-18T16:36:26.371806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
981
24.4%
0 682
17.0%
3 496
12.3%
2 490
12.2%
8 319
 
7.9%
5 276
 
6.9%
4 188
 
4.7%
7 182
 
4.5%
1 144
 
3.6%
6 140
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3040
75.6%
Space Separator 981
 
24.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 682
22.4%
3 496
16.3%
2 490
16.1%
8 319
10.5%
5 276
9.1%
4 188
 
6.2%
7 182
 
6.0%
1 144
 
4.7%
6 140
 
4.6%
9 123
 
4.0%
Space Separator
ValueCountFrequency (%)
981
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
981
24.4%
0 682
17.0%
3 496
12.3%
2 490
12.2%
8 319
 
7.9%
5 276
 
6.9%
4 188
 
4.7%
7 182
 
4.5%
1 144
 
3.6%
6 140
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
981
24.4%
0 682
17.0%
3 496
12.3%
2 490
12.2%
8 319
 
7.9%
5 276
 
6.9%
4 188
 
4.7%
7 182
 
4.5%
1 144
 
3.6%
6 140
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing417
Missing (%)100.0%
Memory size3.8 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing417
Missing (%)100.0%
Memory size3.8 KiB

지번주소
Text

Distinct210
Distinct (%)50.6%
Missing2
Missing (%)0.5%
Memory size3.4 KiB
2024-04-18T16:36:26.551698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length29.245783
Min length17

Characters and Unicode

Total characters12137
Distinct characters122
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)34.0%

Sample

1st row서울특별시 은평구 대조동 *-*번지 **통*반 *층
2nd row서울특별시 은평구 갈현동 ***-**번지
3rd row서울특별시 은평구 역촌동 *-* **통*반 *층
4th row서울특별시 은평구 불광동 ***-** *통*반 *층
5th row서울특별시 은평구 녹번동 ***-**번지 **통*반 *층
ValueCountFrequency (%)
서울특별시 414
17.6%
은평구 413
17.5%
번지 370
15.7%
통*반 276
11.7%
층 268
11.4%
역촌동 73
 
3.1%
응암동 68
 
2.9%
갈현동 58
 
2.5%
호 56
 
2.4%
48
 
2.0%
Other values (66) 311
13.2%
2024-04-18T16:36:26.872013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2982
24.6%
2288
18.9%
동 465
 
3.8%
구 431
 
3.6%
번 416
 
3.4%
시 416
 
3.4%
울 415
 
3.4%
서 415
 
3.4%
평 415
 
3.4%
은 415
 
3.4%
Other values (112) 3479
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6431
53.0%
Other Punctuation 2983
24.6%
Space Separator 2288
 
18.9%
Dash Punctuation 406
 
3.3%
Uppercase Letter 21
 
0.2%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 465
 
7.2%
구 431
 
6.7%
번 416
 
6.5%
시 416
 
6.5%
울 415
 
6.5%
서 415
 
6.5%
평 415
 
6.5%
은 415
 
6.5%
별 414
 
6.4%
특 414
 
6.4%
Other values (94) 2215
34.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
14.3%
B 3
14.3%
C 3
14.3%
J 2
9.5%
D 2
9.5%
P 2
9.5%
I 1
 
4.8%
R 1
 
4.8%
K 1
 
4.8%
H 1
 
4.8%
Other values (2) 2
9.5%
Other Punctuation
ValueCountFrequency (%)
* 2982
> 99.9%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 406
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6431
53.0%
Common 5685
46.8%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 465
 
7.2%
구 431
 
6.7%
번 416
 
6.5%
시 416
 
6.5%
울 415
 
6.5%
서 415
 
6.5%
평 415
 
6.5%
은 415
 
6.5%
별 414
 
6.4%
특 414
 
6.4%
Other values (94) 2215
34.4%
Latin
ValueCountFrequency (%)
A 3
14.3%
B 3
14.3%
C 3
14.3%
J 2
9.5%
D 2
9.5%
P 2
9.5%
I 1
 
4.8%
R 1
 
4.8%
K 1
 
4.8%
H 1
 
4.8%
Other values (2) 2
9.5%
Common
ValueCountFrequency (%)
* 2982
52.5%
2288
40.2%
- 406
 
7.1%
( 4
 
0.1%
) 4
 
0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6431
53.0%
ASCII 5706
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2982
52.3%
2288
40.1%
- 406
 
7.1%
( 4
 
0.1%
) 4
 
0.1%
A 3
 
0.1%
B 3
 
0.1%
C 3
 
0.1%
J 2
 
< 0.1%
D 2
 
< 0.1%
Other values (8) 9
 
0.2%
Hangul
ValueCountFrequency (%)
동 465
 
7.2%
구 431
 
6.7%
번 416
 
6.5%
시 416
 
6.5%
울 415
 
6.5%
서 415
 
6.5%
평 415
 
6.5%
은 415
 
6.5%
별 414
 
6.4%
특 414
 
6.4%
Other values (94) 2215
34.4%

도로명주소
Text

MISSING 

Distinct274
Distinct (%)73.3%
Missing43
Missing (%)10.3%
Memory size3.4 KiB
2024-04-18T16:36:27.087548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length28.609626
Min length22

Characters and Unicode

Total characters10700
Distinct characters141
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)58.0%

Sample

1st row서울특별시 은평구 통일로 ***-* (대조동,*층)
2nd row서울특별시 은평구 갈현로 ***-* (갈현동)
3rd row서울특별시 은평구 역말로 ** (역촌동,*층)
4th row서울특별시 은평구 불광로 ** (불광동,*층)
5th row서울특별시 은평구 통일로 *** (녹번동)
ValueCountFrequency (%)
376
18.7%
서울특별시 373
18.5%
은평구 372
18.5%
호 53
 
2.6%
역촌동,*층 46
 
2.3%
동 39
 
1.9%
응암동,*층 39
 
1.9%
통일로 36
 
1.8%
갈현동,*층 35
 
1.7%
연서로**길 35
 
1.7%
Other values (130) 610
30.3%
2024-04-18T16:36:27.444938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1854
17.3%
* 1665
15.6%
서 476
 
4.4%
동 423
 
4.0%
은 407
 
3.8%
평 407
 
3.8%
구 387
 
3.6%
) 378
 
3.5%
( 378
 
3.5%
울 375
 
3.5%
Other values (131) 3950
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5997
56.0%
Other Punctuation 1991
 
18.6%
Space Separator 1854
 
17.3%
Close Punctuation 378
 
3.5%
Open Punctuation 378
 
3.5%
Dash Punctuation 83
 
0.8%
Uppercase Letter 19
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 476
 
7.9%
동 423
 
7.1%
은 407
 
6.8%
평 407
 
6.8%
구 387
 
6.5%
울 375
 
6.3%
시 375
 
6.3%
별 373
 
6.2%
특 373
 
6.2%
로 368
 
6.1%
Other values (112) 2033
33.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.8%
A 2
10.5%
J 2
10.5%
P 2
10.5%
B 2
10.5%
D 2
10.5%
H 1
 
5.3%
I 1
 
5.3%
R 1
 
5.3%
K 1
 
5.3%
Other values (2) 2
10.5%
Other Punctuation
ValueCountFrequency (%)
* 1665
83.6%
, 325
 
16.3%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1854
100.0%
Close Punctuation
ValueCountFrequency (%)
) 378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 378
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5997
56.0%
Common 4684
43.8%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 476
 
7.9%
동 423
 
7.1%
은 407
 
6.8%
평 407
 
6.8%
구 387
 
6.5%
울 375
 
6.3%
시 375
 
6.3%
별 373
 
6.2%
특 373
 
6.2%
로 368
 
6.1%
Other values (112) 2033
33.9%
Latin
ValueCountFrequency (%)
C 3
15.8%
A 2
10.5%
J 2
10.5%
P 2
10.5%
B 2
10.5%
D 2
10.5%
H 1
 
5.3%
I 1
 
5.3%
R 1
 
5.3%
K 1
 
5.3%
Other values (2) 2
10.5%
Common
ValueCountFrequency (%)
1854
39.6%
* 1665
35.5%
) 378
 
8.1%
( 378
 
8.1%
, 325
 
6.9%
- 83
 
1.8%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5997
56.0%
ASCII 4703
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1854
39.4%
* 1665
35.4%
) 378
 
8.0%
( 378
 
8.0%
, 325
 
6.9%
- 83
 
1.8%
C 3
 
0.1%
A 2
 
< 0.1%
J 2
 
< 0.1%
P 2
 
< 0.1%
Other values (9) 11
 
0.2%
Hangul
ValueCountFrequency (%)
서 476
 
7.9%
동 423
 
7.1%
은 407
 
6.8%
평 407
 
6.8%
구 387
 
6.5%
울 375
 
6.3%
시 375
 
6.3%
별 373
 
6.2%
특 373
 
6.2%
로 368
 
6.1%
Other values (112) 2033
33.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)84.9%
Missing324
Missing (%)77.7%
Infinite0
Infinite (%)0.0%
Mean43724.43
Minimum3310
Maximum410821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-18T16:36:27.587938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3310
5-th percentile3325
Q13382
median3437
Q3122822
95-th percentile122916.8
Maximum410821
Range407511
Interquartile range (IQR)119440

Descriptive statistics

Standard deviation67072.043
Coefficient of variation (CV)1.5339718
Kurtosis8.0350367
Mean43724.43
Median Absolute Deviation (MAD)91
Skewness2.1762382
Sum4066372
Variance4.498659 × 109
MonotonicityNot monotonic
2024-04-18T16:36:27.730194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3435 2
 
0.5%
3388 2
 
0.5%
3479 2
 
0.5%
3334 2
 
0.5%
3406 2
 
0.5%
3326 2
 
0.5%
3382 2
 
0.5%
122895 2
 
0.5%
3442 2
 
0.5%
3325 2
 
0.5%
Other values (69) 73
 
17.5%
(Missing) 324
77.7%
ValueCountFrequency (%)
3310 1
0.2%
3311 1
0.2%
3319 1
0.2%
3324 1
0.2%
3325 2
0.5%
3326 2
0.5%
3328 1
0.2%
3333 2
0.5%
3334 2
0.5%
3336 1
0.2%
ValueCountFrequency (%)
410821 1
0.2%
122952 1
0.2%
122927 1
0.2%
122923 1
0.2%
122918 1
0.2%
122916 1
0.2%
122902 1
0.2%
122900 1
0.2%
122899 1
0.2%
122897 1
0.2%

사업장명
Text

Distinct372
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-18T16:36:28.020687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length5.2709832
Min length3

Characters and Unicode

Total characters2198
Distinct characters282
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique336 ?
Unique (%)80.6%

Sample

1st row현대광고
2nd row동명광고
3rd row미화공사
4th row승진광고
5th row대화공사
ValueCountFrequency (%)
주식회사 8
 
1.8%
디자인 6
 
1.3%
사모사광고 4
 
0.9%
사람과공간 4
 
0.9%
해동광고기획 3
 
0.7%
삼도기획 3
 
0.7%
신호기획 3
 
0.7%
반석기획 3
 
0.7%
고려기획 3
 
0.7%
cc싸인 3
 
0.7%
Other values (374) 405
91.0%
2024-04-18T16:36:28.430149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 125
 
5.7%
광 112
 
5.1%
고 112
 
5.1%
획 104
 
4.7%
주 78
 
3.5%
( 66
 
3.0%
) 66
 
3.0%
사 59
 
2.7%
인 54
 
2.5%
드 43
 
2.0%
Other values (272) 1379
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1992
90.6%
Open Punctuation 66
 
3.0%
Close Punctuation 66
 
3.0%
Uppercase Letter 31
 
1.4%
Space Separator 29
 
1.3%
Decimal Number 4
 
0.2%
Other Punctuation 4
 
0.2%
Lowercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 125
 
6.3%
광 112
 
5.6%
고 112
 
5.6%
획 104
 
5.2%
주 78
 
3.9%
사 59
 
3.0%
인 54
 
2.7%
드 43
 
2.2%
애 38
 
1.9%
디 35
 
1.8%
Other values (247) 1232
61.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
16.1%
A 4
12.9%
G 3
9.7%
D 3
9.7%
I 3
9.7%
M 3
9.7%
E 3
9.7%
S 2
 
6.5%
R 1
 
3.2%
L 1
 
3.2%
Other values (3) 3
9.7%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
7 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
＆ 1
25.0%
& 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
c 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1992
90.6%
Common 171
 
7.8%
Latin 35
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 125
 
6.3%
광 112
 
5.6%
고 112
 
5.6%
획 104
 
5.2%
주 78
 
3.9%
사 59
 
3.0%
인 54
 
2.7%
드 43
 
2.2%
애 38
 
1.9%
디 35
 
1.8%
Other values (247) 1232
61.8%
Latin
ValueCountFrequency (%)
C 5
14.3%
A 4
11.4%
G 3
8.6%
D 3
8.6%
I 3
8.6%
M 3
8.6%
E 3
8.6%
e 2
 
5.7%
S 2
 
5.7%
c 2
 
5.7%
Other values (5) 5
14.3%
Common
ValueCountFrequency (%)
( 66
38.6%
) 66
38.6%
29
17.0%
0 2
 
1.2%
. 2
 
1.2%
- 2
 
1.2%
＆ 1
 
0.6%
7 1
 
0.6%
1 1
 
0.6%
& 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1992
90.6%
ASCII 205
 
9.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 125
 
6.3%
광 112
 
5.6%
고 112
 
5.6%
획 104
 
5.2%
주 78
 
3.9%
사 59
 
3.0%
인 54
 
2.7%
드 43
 
2.2%
애 38
 
1.9%
디 35
 
1.8%
Other values (247) 1232
61.8%
ASCII
ValueCountFrequency (%)
( 66
32.2%
) 66
32.2%
29
14.1%
C 5
 
2.4%
A 4
 
2.0%
G 3
 
1.5%
D 3
 
1.5%
I 3
 
1.5%
M 3
 
1.5%
E 3
 
1.5%
Other values (14) 20
 
9.8%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

Distinct241
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2008-03-04 16:56:19
Maximum2024-02-05 17:27:15
2024-04-18T16:36:28.601005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:36:28.732751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
I
356 
U
61 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 356
85.4%
U 61
 
14.6%

Length

2024-04-18T16:36:28.846081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:28.962291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 356
85.4%
u 61
 
14.6%

데이터갱신일자
Date

Distinct63
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:07:00
2024-04-18T16:36:29.061381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:36:29.181566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing417
Missing (%)100.0%
Memory size3.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct323
Distinct (%)85.0%
Missing37
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean192717.33
Minimum183893.74
Maximum194405.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-18T16:36:29.326227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183893.74
5-th percentile191535.88
Q1192403.91
median192783.76
Q3193109.38
95-th percentile194000.88
Maximum194405.5
Range10511.764
Interquartile range (IQR)705.46246

Descriptive statistics

Standard deviation897.79105
Coefficient of variation (CV)0.0046585901
Kurtosis24.833704
Mean192717.33
Median Absolute Deviation (MAD)363.05525
Skewness-3.0001743
Sum73232585
Variance806028.77
MonotonicityNot monotonic
2024-04-18T16:36:29.451983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193521.114590986 5
 
1.2%
192824.609613775 4
 
1.0%
192794.083980197 4
 
1.0%
193600.888431741 4
 
1.0%
190042.803762943 3
 
0.7%
191990.400785052 3
 
0.7%
192670.138146728 3
 
0.7%
192436.95665063 3
 
0.7%
193053.432186913 3
 
0.7%
192769.219311952 3
 
0.7%
Other values (313) 345
82.7%
(Missing) 37
 
8.9%
ValueCountFrequency (%)
183893.736199219 1
 
0.2%
189724.542726894 1
 
0.2%
189840.927049398 1
 
0.2%
190042.803762943 3
0.7%
190066.046208839 1
 
0.2%
190306.523859878 1
 
0.2%
190375.107369455 1
 
0.2%
190470.815977186 1
 
0.2%
190568.046976573 1
 
0.2%
190687.175166999 1
 
0.2%
ValueCountFrequency (%)
194405.500554239 1
0.2%
194374.16717791 1
0.2%
194369.10604645 1
0.2%
194167.312620869 1
0.2%
194167.047719347 1
0.2%
194151.113555039 2
0.5%
194140.763830145 1
0.2%
194140.340023169 2
0.5%
194124.672503032 1
0.2%
194068.721660716 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct323
Distinct (%)85.0%
Missing37
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean456002.48
Minimum451059.17
Maximum465211.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-18T16:36:29.569071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451059.17
5-th percentile453775.33
Q1455285.66
median455993.5
Q3456854.39
95-th percentile458135.76
Maximum465211.2
Range14152.034
Interquartile range (IQR)1568.726

Descriptive statistics

Standard deviation1374.143
Coefficient of variation (CV)0.0030134551
Kurtosis4.8351587
Mean456002.48
Median Absolute Deviation (MAD)797.69882
Skewness0.62693778
Sum1.7328094 × 108
Variance1888269
MonotonicityNot monotonic
2024-04-18T16:36:29.700755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455548.284895387 5
 
1.2%
458291.029836776 4
 
1.0%
456875.319487203 4
 
1.0%
456957.233580498 4
 
1.0%
453827.135199711 3
 
0.7%
455443.231512826 3
 
0.7%
454949.756637635 3
 
0.7%
456201.511247844 3
 
0.7%
456056.058391271 3
 
0.7%
456074.959636511 3
 
0.7%
Other values (313) 345
82.7%
(Missing) 37
 
8.9%
ValueCountFrequency (%)
451059.16807944 1
0.2%
453032.220651511 1
0.2%
453220.410505863 1
0.2%
453244.229758597 1
0.2%
453289.803633766 1
0.2%
453418.112707628 1
0.2%
453433.408199378 1
0.2%
453451.827098474 1
0.2%
453452.165669721 1
0.2%
453457.712730031 1
0.2%
ValueCountFrequency (%)
465211.202003065 1
 
0.2%
460006.238336185 1
 
0.2%
459348.625183 1
 
0.2%
458989.138045 1
 
0.2%
458357.532651825 1
 
0.2%
458299.068652696 1
 
0.2%
458291.029836776 4
1.0%
458267.661860776 1
 
0.2%
458256.586618816 1
 
0.2%
458244.031739654 1
 
0.2%

영업내용
Text

MISSING 

Distinct68
Distinct (%)17.4%
Missing26
Missing (%)6.2%
Memory size3.4 KiB
2024-04-18T16:36:29.911627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length4
Mean length5.3401535
Min length3

Characters and Unicode

Total characters2088
Distinct characters78
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)15.1%

Sample

1st row간판제작
2nd row간판제작
3rd row간판제작
4th row간판제작
5th row간판제작
ValueCountFrequency (%)
간판제작 322
64.4%
및 23
 
4.6%
제작 16
 
3.2%
옥외광고물 15
 
3.0%
광고물 10
 
2.0%
설치 9
 
1.8%
간판 8
 
1.6%
옥외광고업 6
 
1.2%
광고물제작 5
 
1.0%
제작설치 5
 
1.0%
Other values (64) 81
 
16.2%
2024-04-18T16:36:30.253688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 372
17.8%
작 366
17.5%
간 343
16.4%
판 343
16.4%
109
 
5.2%
고 66
 
3.2%
광 65
 
3.1%
물 43
 
2.1%
외 38
 
1.8%
옥 35
 
1.7%
Other values (68) 308
14.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1951
93.4%
Space Separator 109
 
5.2%
Other Punctuation 20
 
1.0%
Uppercase Letter 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 372
19.1%
작 366
18.8%
간 343
17.6%
판 343
17.6%
고 66
 
3.4%
광 65
 
3.3%
물 43
 
2.2%
외 38
 
1.9%
옥 35
 
1.8%
및 26
 
1.3%
Other values (59) 254
13.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
E 1
33.3%
L 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 17
85.0%
. 3
 
15.0%
Space Separator
ValueCountFrequency (%)
109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1951
93.4%
Common 134
 
6.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 372
19.1%
작 366
18.8%
간 343
17.6%
판 343
17.6%
고 66
 
3.4%
광 65
 
3.3%
물 43
 
2.2%
외 38
 
1.9%
옥 35
 
1.8%
및 26
 
1.3%
Other values (59) 254
13.0%
Common
ValueCountFrequency (%)
109
81.3%
, 17
 
12.7%
. 3
 
2.2%
) 2
 
1.5%
( 2
 
1.5%
- 1
 
0.7%
Latin
ValueCountFrequency (%)
D 1
33.3%
E 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1951
93.4%
ASCII 137
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 372
19.1%
작 366
18.8%
간 343
17.6%
판 343
17.6%
고 66
 
3.4%
광 65
 
3.3%
물 43
 
2.2%
외 38
 
1.9%
옥 35
 
1.8%
및 26
 
1.3%
Other values (59) 254
13.0%
ASCII
ValueCountFrequency (%)
109
79.6%
, 17
 
12.4%
. 3
 
2.2%
) 2
 
1.5%
( 2
 
1.5%
- 1
 
0.7%
D 1
 
0.7%
E 1
 
0.7%
L 1
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03110000198431101190850000419840716<NA>3폐업40폐업19971013<NA><NA><NA>02 354 7855<NA><NA>서울특별시 은평구 대조동 *-*번지 **통*반 *층서울특별시 은평구 통일로 ***-* (대조동,*층)<NA>현대광고2008-03-04 16:56:19I2018-08-31 23:59:59.0<NA>193565.024088456592.696656간판제작
13110000198831101190850000119880709<NA>1영업/정상20정상<NA><NA><NA><NA>02 354 4500<NA><NA>서울특별시 은평구 갈현동 ***-**번지서울특별시 은평구 갈현로 ***-* (갈현동)3328동명광고2019-08-05 14:08:38U2019-08-07 02:40:00.0<NA>192641.413872457977.39552간판제작
2311000019883110119085000051988-07-09<NA>3폐업40폐업2023-03-27<NA><NA><NA>02 385 3429<NA><NA>서울특별시 은평구 역촌동 *-* **통*반 *층서울특별시 은평구 역말로 ** (역촌동,*층)<NA>미화공사2023-03-27 16:04:09U2022-12-02 22:09:00.0<NA>192851.376062456190.771705<NA>
33110000198831101190850000619880709<NA>1영업/정상20정상<NA><NA><NA><NA>02 385 7612<NA><NA>서울특별시 은평구 불광동 ***-** *통*반 *층서울특별시 은평구 불광로 ** (불광동,*층)<NA>승진광고2021-05-28 08:47:32U2021-05-30 02:40:00.0<NA>193804.53844456547.0685간판제작
43110000198831101190850001319880709<NA>3폐업40폐업20130318<NA><NA><NA>02 355 9315<NA><NA>서울특별시 은평구 녹번동 ***-**번지 **통*반 *층<NA><NA>대화공사2013-03-29 16:28:55I2018-08-31 23:59:59.0<NA>193135.136148455893.381456간판제작
53110000198831101190850001520071012<NA>1영업/정상20정상<NA><NA><NA><NA>02 383 2530<NA><NA>서울특별시 은평구 녹번동 **-*번지서울특별시 은평구 통일로 *** (녹번동)<NA>대지광고2014-12-03 14:27:32I2018-08-31 23:59:59.0<NA>194151.113555455759.391538간판제작
63110000198831101190850001719880709<NA>1영업/정상20정상<NA><NA><NA><NA>02 359 8444<NA><NA>서울특별시 은평구 갈현동 ***-*번지 *통*반 *층서울특별시 은평구 갈현로 *** (갈현동,*층)<NA>태양광고2008-03-04 16:56:19I2018-08-31 23:59:59.0<NA>192144.446962456875.906194간판제작
73110000198831101190850001819880709<NA>4취소/말소/만료/정지/중지70취소19990706<NA><NA><NA>02 385 7890<NA><NA>서울특별시 은평구 역촌동 **-*번지 *통*반 *층서울특별시 은평구 연서로 **-* (역촌동,*층)<NA>해동광고기획2008-03-04 16:56:19I2018-08-31 23:59:59.0<NA>192424.708429456094.528733간판제작
83110000198831101190850002219880709<NA>1영업/정상20정상<NA><NA><NA><NA>02 357 1205<NA><NA>서울특별시 은평구 응암동 ***-**번지 **통*반 *층서울특별시 은평구 응암로 *** (응암동,*층)<NA>서주광고2008-03-04 16:56:19I2018-08-31 23:59:59.0<NA>193069.847373455289.94904간판제작
93110000198831101190850002819880709<NA>3폐업40폐업20130318<NA><NA><NA>02 000 0000<NA><NA>서울특별시 은평구 녹번동 ***-*번지 **통*반 *층서울특별시 은평구 은평로 *** (녹번동,*층)<NA>서울광고2013-03-29 16:29:50I2018-08-31 23:59:59.0<NA>193999.390305455444.219592간판제작
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
407311000020223110236085000022021-03-24<NA>3폐업40폐업2023-12-29<NA><NA><NA>02 63540110<NA><NA>서울특별시 은평구 증산동 *** DMC우방서울특별시 은평구 증산로*길 **-*, 상가동 ***호 (증산동, DMC우방)3493주식회사 스마트2024-01-03 13:43:38U2023-12-01 00:05:00.0<NA>191361.609135453289.803634<NA>
4083110000202231102360850000320220418<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 ***-**서울특별시 은평구 진흥로**길 *, *층 (녹번동)3375참디자인2022-04-18 13:31:50I2021-12-03 22:00:00.0<NA>193458.09291456232.609347<NA>
4093110000202231102360850000420161103<NA>1영업/정상20정상<NA><NA><NA><NA>02 333 3199<NA><NA>서울특별시 은평구 신사동 **-** 형진아파트서울특별시 은평구 가좌로**길 ** (신사동, 형진아파트)3437(주)드림광고기획2022-06-17 09:23:44I2021-12-05 23:09:00.0<NA>191811.233437455087.991128<NA>
4103110000202231102360850000520200107<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 ***-* 썬버드빌딩서울특별시 은평구 갈현로 ***, 썬버드빌딩 (갈현동)3324디자인내음2022-11-25 10:25:54U2021-10-31 22:07:00.0<NA>192331.396307457122.293584<NA>
411311000020233110261085000012013-05-31<NA>1영업/정상20정상<NA><NA><NA><NA>02 373 0403<NA><NA>서울특별시 은평구 대조동 ***-**서울특별시 은평구 역말로*길 ** (대조동)3390중복처리 삭제2023-08-31 15:46:52U2022-12-09 00:02:00.0<NA>193068.470462456789.603682<NA>
412311000020233110261085000022023-08-02<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 ***-*서울특별시 은평구 연서로**길 ** (대조동)3387사모사광고2023-08-03 13:18:32I2022-12-08 00:05:00.0<NA>192794.08398456875.319487<NA>
413311000020233110261085000032023-07-27<NA>3폐업40폐업2023-07-27<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 ***-*서울특별시 은평구 연서로**길 ** (대조동)3387사모사광고2023-08-31 15:39:29U2022-12-09 00:02:00.0<NA>192794.08398456875.319487<NA>
414311000020233110261085000042023-08-25<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 ***-*서울특별시 은평구 연서로**길 ** (갈현동)3334시원기획2023-08-29 09:57:21I2022-12-07 21:01:00.0<NA>192580.707933457058.502467<NA>
415311000020243110261085000012024-02-02<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 **-* 은평제일장로교회서울특별시 은평구 역말로*길 *-*, 은평제일장로교회 (역촌동)3419지성광고기획2024-02-05 09:32:35I2023-12-02 00:07:00.0<NA>192214.536254455878.642867<NA>
416311000020243110261085000022024-02-05<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-**서울특별시 은평구 가좌로*나길 **-* (응암동)3481주식회사 티그램컴퍼니2024-02-05 17:27:15I2023-12-02 00:07:00.0<NA>192823.211932453457.71273<NA>