Overview

Dataset statistics

Number of variables26
Number of observations236
Missing cells2028
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.6 KiB
Average record size in memory219.6 B

Variable types

Categorical7
Numeric3
DateTime5
Unsupported5
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17835/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (50.5%)Imbalance
영업상태명 is highly imbalanced (50.5%)Imbalance
상세영업상태코드 is highly imbalanced (50.5%)Imbalance
상세영업상태명 is highly imbalanced (50.5%)Imbalance
영업내용 is highly imbalanced (61.7%)Imbalance
인허가취소일자 has 236 (100.0%) missing valuesMissing
폐업일자 has 65 (27.5%) missing valuesMissing
휴업시작일자 has 227 (96.2%) missing valuesMissing
휴업종료일자 has 228 (96.6%) missing valuesMissing
재개업일자 has 236 (100.0%) missing valuesMissing
전화번호 has 142 (60.2%) missing valuesMissing
소재지면적 has 236 (100.0%) missing valuesMissing
소재지우편번호 has 236 (100.0%) missing valuesMissing
도로명주소 has 72 (30.5%) missing valuesMissing
도로명우편번호 has 93 (39.4%) missing valuesMissing
업태구분명 has 236 (100.0%) missing valuesMissing
좌표정보(X) has 10 (4.2%) missing valuesMissing
좌표정보(Y) has 10 (4.2%) missing valuesMissing
관리번호 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 started2024-05-11 08:03:06.624095
Analysis finished2024-05-11 08:03:07.595191
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3080000
236 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 236
100.0%

Length

2024-05-11T08:03:07.786768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:08.128089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 236
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0035622 × 1018
Minimum1.988308 × 1018
Maximum2.024308 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T08:03:08.620073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988308 × 1018
5-th percentile1.989058 × 1018
Q11.998308 × 1018
median2.001308 × 1018
Q32.006308 × 1018
95-th percentile2.021308 × 1018
Maximum2.024308 × 1018
Range3.6000014 × 1016
Interquartile range (IQR)7.9999993 × 1015

Descriptive statistics

Standard deviation8.8000861 × 1015
Coefficient of variation (CV)0.00439222
Kurtosis-0.063688274
Mean2.0035622 × 1018
Median Absolute Deviation (MAD)3.9999993 × 1015
Skewness0.62280862
Sum-6.7746556 × 1018
Variance7.7441516 × 1031
MonotonicityStrictly increasing
2024-05-11T08:03:09.188308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988308008508200001 1
 
0.4%
2005308007808200002 1
 
0.4%
2004308007808200004 1
 
0.4%
2004308007808200005 1
 
0.4%
2004308007808200006 1
 
0.4%
2004308007808200007 1
 
0.4%
2004308007808200008 1
 
0.4%
2004308007808200009 1
 
0.4%
2004308007808200010 1
 
0.4%
2004308007808200011 1
 
0.4%
Other values (226) 226
95.8%
ValueCountFrequency (%)
1988308008508200001 1
0.4%
1988308008508200002 1
0.4%
1988308008508200005 1
0.4%
1988308008508200006 1
0.4%
1988308008508200010 1
0.4%
1988308008508200012 1
0.4%
1988308008508200014 1
0.4%
1988308008508200015 1
0.4%
1988308008508200019 1
0.4%
1988308008508200021 1
0.4%
ValueCountFrequency (%)
2024308022608500001 1
0.4%
2023308015308500004 1
0.4%
2023308015308500003 1
0.4%
2023308015308500002 1
0.4%
2023308015308500001 1
0.4%
2022308017408500005 1
0.4%
2022308017408500004 1
0.4%
2022308017408500003 1
0.4%
2022308017408500002 1
0.4%
2022308017408500001 1
0.4%

인허가일자
Date

Distinct196
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1988-07-13 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T08:03:09.678804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:03:10.177995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
174 
1
55 
2
 
5
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 174
73.7%
1 55
 
23.3%
2 5
 
2.1%
4 2
 
0.8%

Length

2024-05-11T08:03:10.655364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:11.077531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 174
73.7%
1 55
 
23.3%
2 5
 
2.1%
4 2
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
174 
영업/정상
55 
휴업
 
5
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length2.8008475
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 174
73.7%
영업/정상 55
 
23.3%
휴업 5
 
2.1%
취소/말소/만료/정지/중지 2
 
0.8%

Length

2024-05-11T08:03:11.628218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:12.069285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 174
73.7%
영업/정상 55
 
23.3%
휴업 5
 
2.1%
취소/말소/만료/정지/중지 2
 
0.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
40
174 
20
55 
30
 
5
70
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 174
73.7%
20 55
 
23.3%
30 5
 
2.1%
70 2
 
0.8%

Length

2024-05-11T08:03:12.709981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:13.375122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 174
73.7%
20 55
 
23.3%
30 5
 
2.1%
70 2
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
174 
정상
55 
휴업
 
5
취소
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 174
73.7%
정상 55
 
23.3%
휴업 5
 
2.1%
취소 2
 
0.8%

Length

2024-05-11T08:03:13.935130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:14.546385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 174
73.7%
정상 55
 
23.3%
휴업 5
 
2.1%
취소 2
 
0.8%

폐업일자
Date

MISSING 

Distinct90
Distinct (%)52.6%
Missing65
Missing (%)27.5%
Memory size2.0 KiB
Minimum2001-07-05 00:00:00
Maximum2023-12-31 00:00:00
2024-05-11T08:03:15.482566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:03:16.248606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing227
Missing (%)96.2%
Memory size2.0 KiB
Minimum2002-01-30 00:00:00
Maximum2023-11-07 00:00:00
2024-05-11T08:03:16.738952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:03:17.312116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing228
Missing (%)96.6%
Memory size2.0 KiB
2024-05-11T08:03:17.796159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.5
Min length8

Characters and Unicode

Total characters68
Distinct characters10
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

Unique8 ?
Unique (%)100.0%

Sample

1st row20020730
2nd row20221231
3rd row2024-03-31
4th row20111230
5th row20080312
ValueCountFrequency (%)
20020730 1
12.5%
20221231 1
12.5%
2024-03-31 1
12.5%
20111230 1
12.5%
20080312 1
12.5%
20160816 1
12.5%
20211231 1
12.5%
9999-12-31 1
12.5%
2024-05-11T08:03:18.692124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 17
25.0%
0 15
22.1%
1 14
20.6%
3 8
11.8%
- 4
 
5.9%
9 4
 
5.9%
8 2
 
2.9%
6 2
 
2.9%
7 1
 
1.5%
4 1
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64
94.1%
Dash Punctuation 4
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 17
26.6%
0 15
23.4%
1 14
21.9%
3 8
12.5%
9 4
 
6.2%
8 2
 
3.1%
6 2
 
3.1%
7 1
 
1.6%
4 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 17
25.0%
0 15
22.1%
1 14
20.6%
3 8
11.8%
- 4
 
5.9%
9 4
 
5.9%
8 2
 
2.9%
6 2
 
2.9%
7 1
 
1.5%
4 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 17
25.0%
0 15
22.1%
1 14
20.6%
3 8
11.8%
- 4
 
5.9%
9 4
 
5.9%
8 2
 
2.9%
6 2
 
2.9%
7 1
 
1.5%
4 1
 
1.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct91
Distinct (%)96.8%
Missing142
Missing (%)60.2%
Memory size2.0 KiB
2024-05-11T08:03:19.493127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.3723404
Min length7

Characters and Unicode

Total characters881
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

Unique88 ?
Unique (%)93.6%

Sample

1st row02 9889182
2nd row9889182
3rd row9942334
4th row9833553
5th row02 9979770
ValueCountFrequency (%)
02 60
37.5%
9964557 2
 
1.2%
9880427 2
 
1.2%
9809962 2
 
1.2%
9889182 2
 
1.2%
9873833 2
 
1.2%
9997163 2
 
1.2%
9022457 1
 
0.6%
9572596 1
 
0.6%
9841537 1
 
0.6%
Other values (85) 85
53.1%
2024-05-11T08:03:20.571522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 162
18.4%
0 143
16.2%
2 112
12.7%
8 82
9.3%
71
8.1%
4 59
 
6.7%
5 58
 
6.6%
3 53
 
6.0%
7 52
 
5.9%
1 48
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 810
91.9%
Space Separator 71
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 162
20.0%
0 143
17.7%
2 112
13.8%
8 82
10.1%
4 59
 
7.3%
5 58
 
7.2%
3 53
 
6.5%
7 52
 
6.4%
1 48
 
5.9%
6 41
 
5.1%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 162
18.4%
0 143
16.2%
2 112
12.7%
8 82
9.3%
71
8.1%
4 59
 
6.7%
5 58
 
6.6%
3 53
 
6.0%
7 52
 
5.9%
1 48
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 162
18.4%
0 143
16.2%
2 112
12.7%
8 82
9.3%
71
8.1%
4 59
 
6.7%
5 58
 
6.6%
3 53
 
6.0%
7 52
 
5.9%
1 48
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

지번주소
Text

Distinct122
Distinct (%)51.9%
Missing1
Missing (%)0.4%
Memory size2.0 KiB
2024-05-11T08:03:21.325217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length25.838298
Min length19

Characters and Unicode

Total characters6072
Distinct characters99
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)40.9%

Sample

1st row서울특별시 강북구 미아동 ***-****번지 솔샘로**길**-*
2nd row서울특별시 강북구 수유동 ***-*** 대림
3rd row서울특별시 강북구 미아동 ***-***
4th row서울특별시 강북구 수유동 ***-****번지
5th row서울특별시 강북구 수유동 ***-****번지
ValueCountFrequency (%)
서울특별시 235
22.6%
강북구 233
22.4%
번지 166
15.9%
미아동 98
9.4%
수유동 87
 
8.3%
64
 
6.1%
번동 45
 
4.3%
층 10
 
1.0%
호 8
 
0.8%
도봉로 8
 
0.8%
Other values (53) 88
 
8.4%
2024-05-11T08:03:22.480073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1571
25.9%
1016
16.7%
- 242
 
4.0%
동 238
 
3.9%
서 236
 
3.9%
구 236
 
3.9%
시 236
 
3.9%
강 235
 
3.9%
북 235
 
3.9%
울 235
 
3.9%
Other values (89) 1592
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3209
52.8%
Other Punctuation 1571
25.9%
Space Separator 1016
 
16.7%
Dash Punctuation 242
 
4.0%
Decimal Number 30
 
0.5%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 238
 
7.4%
서 236
 
7.4%
구 236
 
7.4%
시 236
 
7.4%
강 235
 
7.3%
북 235
 
7.3%
울 235
 
7.3%
별 235
 
7.3%
특 235
 
7.3%
번 211
 
6.6%
Other values (75) 877
27.3%
Decimal Number
ValueCountFrequency (%)
2 6
20.0%
4 6
20.0%
3 5
16.7%
1 4
13.3%
6 3
10.0%
0 3
10.0%
8 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 1571
100.0%
Space Separator
ValueCountFrequency (%)
1016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3209
52.8%
Common 2863
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 238
 
7.4%
서 236
 
7.4%
구 236
 
7.4%
시 236
 
7.4%
강 235
 
7.3%
북 235
 
7.3%
울 235
 
7.3%
별 235
 
7.3%
특 235
 
7.3%
번 211
 
6.6%
Other values (75) 877
27.3%
Common
ValueCountFrequency (%)
* 1571
54.9%
1016
35.5%
- 242
 
8.5%
2 6
 
0.2%
4 6
 
0.2%
3 5
 
0.2%
1 4
 
0.1%
6 3
 
0.1%
0 3
 
0.1%
( 2
 
0.1%
Other values (4) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3209
52.8%
ASCII 2863
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1571
54.9%
1016
35.5%
- 242
 
8.5%
2 6
 
0.2%
4 6
 
0.2%
3 5
 
0.2%
1 4
 
0.1%
6 3
 
0.1%
0 3
 
0.1%
( 2
 
0.1%
Other values (4) 5
 
0.2%
Hangul
ValueCountFrequency (%)
동 238
 
7.4%
서 236
 
7.4%
구 236
 
7.4%
시 236
 
7.4%
강 235
 
7.3%
북 235
 
7.3%
울 235
 
7.3%
별 235
 
7.3%
특 235
 
7.3%
번 211
 
6.6%
Other values (75) 877
27.3%

도로명주소
Text

MISSING 

Distinct108
Distinct (%)65.9%
Missing72
Missing (%)30.5%
Memory size2.0 KiB
2024-05-11T08:03:23.174317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length25.743902
Min length21

Characters and Unicode

Total characters4222
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)49.4%

Sample

1st row서울특별시 강북구 솔샘로**길 **-* (미아동)
2nd row서울특별시 강북구 삼양로 ***, 대림 (수유동)
3rd row서울특별시 강북구 삼양로 *** (미아동)
4th row서울특별시 강북구 삼양로 *** (수유동)
5th row서울특별시 강북구 한천로***가길 ** (수유동)
ValueCountFrequency (%)
서울특별시 164
19.1%
강북구 163
19.0%
159
18.5%
미아동 66
7.7%
수유동 58
 
6.7%
번동 32
 
3.7%
삼양로 23
 
2.7%
도봉로**길 21
 
2.4%
도봉로 16
 
1.9%
덕릉로 13
 
1.5%
Other values (67) 145
16.9%
2024-05-11T08:03:24.754647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
16.8%
* 614
 
14.5%
( 166
 
3.9%
) 166
 
3.9%
시 165
 
3.9%
강 165
 
3.9%
북 165
 
3.9%
동 165
 
3.9%
서 164
 
3.9%
특 164
 
3.9%
Other values (91) 1578
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2468
58.5%
Space Separator 710
 
16.8%
Other Punctuation 649
 
15.4%
Open Punctuation 166
 
3.9%
Close Punctuation 166
 
3.9%
Dash Punctuation 37
 
0.9%
Decimal Number 26
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 165
 
6.7%
강 165
 
6.7%
북 165
 
6.7%
동 165
 
6.7%
서 164
 
6.6%
특 164
 
6.6%
별 164
 
6.6%
구 164
 
6.6%
울 164
 
6.6%
로 164
 
6.6%
Other values (75) 824
33.4%
Decimal Number
ValueCountFrequency (%)
1 9
34.6%
4 4
15.4%
7 3
 
11.5%
3 2
 
7.7%
8 2
 
7.7%
0 2
 
7.7%
2 2
 
7.7%
9 1
 
3.8%
5 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
* 614
94.6%
, 34
 
5.2%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
710
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2468
58.5%
Common 1754
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 165
 
6.7%
강 165
 
6.7%
북 165
 
6.7%
동 165
 
6.7%
서 164
 
6.6%
특 164
 
6.6%
별 164
 
6.6%
구 164
 
6.6%
울 164
 
6.6%
로 164
 
6.6%
Other values (75) 824
33.4%
Common
ValueCountFrequency (%)
710
40.5%
* 614
35.0%
( 166
 
9.5%
) 166
 
9.5%
- 37
 
2.1%
, 34
 
1.9%
1 9
 
0.5%
4 4
 
0.2%
7 3
 
0.2%
3 2
 
0.1%
Other values (6) 9
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2468
58.5%
ASCII 1754
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
40.5%
* 614
35.0%
( 166
 
9.5%
) 166
 
9.5%
- 37
 
2.1%
, 34
 
1.9%
1 9
 
0.5%
4 4
 
0.2%
7 3
 
0.2%
3 2
 
0.1%
Other values (6) 9
 
0.5%
Hangul
ValueCountFrequency (%)
시 165
 
6.7%
강 165
 
6.7%
북 165
 
6.7%
동 165
 
6.7%
서 164
 
6.6%
특 164
 
6.6%
별 164
 
6.6%
구 164
 
6.6%
울 164
 
6.6%
로 164
 
6.6%
Other values (75) 824
33.4%

도로명우편번호
Text

MISSING 

Distinct89
Distinct (%)62.2%
Missing93
Missing (%)39.4%
Memory size2.0 KiB
2024-05-11T08:03:25.541826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5384615
Min length5

Characters and Unicode

Total characters792
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

Unique55 ?
Unique (%)38.5%

Sample

1st row142815
2nd row01099
3rd row01173
4th row142891
5th row01070
ValueCountFrequency (%)
01176 5
 
3.5%
142100 4
 
2.8%
142865 4
 
2.8%
01076 3
 
2.1%
142815 3
 
2.1%
01061 3
 
2.1%
142807 3
 
2.1%
142870 3
 
2.1%
142868 3
 
2.1%
01226 3
 
2.1%
Other values (79) 109
76.2%
2024-05-11T08:03:27.052389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 213
26.9%
0 145
18.3%
2 109
13.8%
4 93
11.7%
8 83
 
10.5%
7 48
 
6.1%
6 42
 
5.3%
3 25
 
3.2%
5 17
 
2.1%
9 15
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 790
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 213
27.0%
0 145
18.4%
2 109
13.8%
4 93
11.8%
8 83
 
10.5%
7 48
 
6.1%
6 42
 
5.3%
3 25
 
3.2%
5 17
 
2.2%
9 15
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 213
26.9%
0 145
18.3%
2 109
13.8%
4 93
11.7%
8 83
 
10.5%
7 48
 
6.1%
6 42
 
5.3%
3 25
 
3.2%
5 17
 
2.1%
9 15
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 213
26.9%
0 145
18.3%
2 109
13.8%
4 93
11.7%
8 83
 
10.5%
7 48
 
6.1%
6 42
 
5.3%
3 25
 
3.2%
5 17
 
2.1%
9 15
 
1.9%

사업장명
Text

Distinct216
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T08:03:27.931643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length5.3644068
Min length2

Characters and Unicode

Total characters1266
Distinct characters228
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

Unique196 ?
Unique (%)83.1%

Sample

1st row국제종합건업
2nd row극동종합광고
3rd row현대광고
4th row우이극동광고
5th row극동종합광고
ValueCountFrequency (%)
주식회사 4
 
1.6%
광산기획 2
 
0.8%
c.j기획 2
 
0.8%
주)광고기획 2
 
0.8%
두손광고기획 2
 
0.8%
새마을종합광고 2
 
0.8%
세일종합광고 2
 
0.8%
라임디자인 2
 
0.8%
우연광고 2
 
0.8%
바블광고 2
 
0.8%
Other values (220) 232
91.3%
2024-05-11T08:03:29.138709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 101
 
8.0%
고 93
 
7.3%
기 57
 
4.5%
획 55
 
4.3%
인 38
 
3.0%
사 28
 
2.2%
합 26
 
2.1%
주 24
 
1.9%
종 23
 
1.8%
디 22
 
1.7%
Other values (218) 799
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1169
92.3%
Uppercase Letter 25
 
2.0%
Open Punctuation 20
 
1.6%
Close Punctuation 20
 
1.6%
Space Separator 18
 
1.4%
Other Punctuation 7
 
0.6%
Decimal Number 6
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 101
 
8.6%
고 93
 
8.0%
기 57
 
4.9%
획 55
 
4.7%
인 38
 
3.3%
사 28
 
2.4%
합 26
 
2.2%
주 24
 
2.1%
종 23
 
2.0%
디 22
 
1.9%
Other values (195) 702
60.1%
Uppercase Letter
ValueCountFrequency (%)
T 4
16.0%
S 4
16.0%
J 4
16.0%
C 2
8.0%
R 2
8.0%
M 2
8.0%
U 1
 
4.0%
E 1
 
4.0%
N 1
 
4.0%
I 1
 
4.0%
Other values (3) 3
12.0%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
, 1
 
14.3%
& 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
2 2
33.3%
1 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1169
92.3%
Common 72
 
5.7%
Latin 25
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 101
 
8.6%
고 93
 
8.0%
기 57
 
4.9%
획 55
 
4.7%
인 38
 
3.3%
사 28
 
2.4%
합 26
 
2.2%
주 24
 
2.1%
종 23
 
2.0%
디 22
 
1.9%
Other values (195) 702
60.1%
Latin
ValueCountFrequency (%)
T 4
16.0%
S 4
16.0%
J 4
16.0%
C 2
8.0%
R 2
8.0%
M 2
8.0%
U 1
 
4.0%
E 1
 
4.0%
N 1
 
4.0%
I 1
 
4.0%
Other values (3) 3
12.0%
Common
ValueCountFrequency (%)
( 20
27.8%
) 20
27.8%
18
25.0%
. 5
 
6.9%
0 3
 
4.2%
2 2
 
2.8%
- 1
 
1.4%
1 1
 
1.4%
, 1
 
1.4%
& 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1169
92.3%
ASCII 97
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 101
 
8.6%
고 93
 
8.0%
기 57
 
4.9%
획 55
 
4.7%
인 38
 
3.3%
사 28
 
2.4%
합 26
 
2.2%
주 24
 
2.1%
종 23
 
2.0%
디 22
 
1.9%
Other values (195) 702
60.1%
ASCII
ValueCountFrequency (%)
( 20
20.6%
) 20
20.6%
18
18.6%
. 5
 
5.2%
T 4
 
4.1%
S 4
 
4.1%
J 4
 
4.1%
0 3
 
3.1%
C 2
 
2.1%
2 2
 
2.1%
Other values (13) 15
15.5%

최종수정일자
Date

Distinct231
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1988-07-13 00:00:00
Maximum2024-04-03 17:34:15
2024-05-11T08:03:29.689814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:03:30.339625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
165 
U
71 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 165
69.9%
U 71
30.1%

Length

2024-05-11T08:03:30.813631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:31.132444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 165
69.9%
u 71
30.1%

데이터갱신일자
Date

Distinct64
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-05-11T08:03:31.560513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:03:32.054687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)83.6%
Missing10
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean202089.01
Minimum191072.58
Maximum203985.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T08:03:32.610055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191072.58
5-th percentile201153.31
Q1201610.57
median202148.67
Q3202576.68
95-th percentile203130.01
Maximum203985.98
Range12913.406
Interquartile range (IQR)966.11164

Descriptive statistics

Standard deviation979.82499
Coefficient of variation (CV)0.0048484823
Kurtosis70.518559
Mean202089.01
Median Absolute Deviation (MAD)476.34656
Skewness-6.2152214
Sum45672116
Variance960057.01
MonotonicityNot monotonic
2024-05-11T08:03:33.226481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202387.955919871 5
 
2.1%
201411.76115918 3
 
1.3%
202861.619172419 3
 
1.3%
202155.401317068 3
 
1.3%
201476.131626277 3
 
1.3%
201916.599328649 2
 
0.8%
201515.645794582 2
 
0.8%
201350.483834149 2
 
0.8%
202251.774751369 2
 
0.8%
202153.216507321 2
 
0.8%
Other values (179) 199
84.3%
(Missing) 10
 
4.2%
ValueCountFrequency (%)
191072.577217166 1
0.4%
200529.76116563 1
0.4%
200892.225841917 1
0.4%
200919.464341979 1
0.4%
200926.170849349 1
0.4%
200955.206518359 1
0.4%
201006.982937085 1
0.4%
201023.035904041 1
0.4%
201072.909901738 1
0.4%
201113.806615267 1
0.4%
ValueCountFrequency (%)
203985.983038714 2
0.8%
203895.660018622 1
0.4%
203821.073410934 1
0.4%
203789.411708636 2
0.8%
203679.833355057 1
0.4%
203417.015333486 1
0.4%
203335.284186575 1
0.4%
203139.797655326 1
0.4%
203130.998085 2
0.8%
203127.044579629 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)83.6%
Missing10
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean458712.38
Minimum444070.85
Maximum462160.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T08:03:33.936769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444070.85
5-th percentile456884.27
Q1457865.21
median458891.7
Q3459787.99
95-th percentile460431.16
Maximum462160.31
Range18089.459
Interquartile range (IQR)1922.7804

Descriptive statistics

Standard deviation1512.2072
Coefficient of variation (CV)0.0032966349
Kurtosis37.956062
Mean458712.38
Median Absolute Deviation (MAD)934.03042
Skewness-3.9934064
Sum1.03669 × 108
Variance2286770.7
MonotonicityNot monotonic
2024-05-11T08:03:34.560548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457645.086698882 5
 
2.1%
459975.493739885 3
 
1.3%
457148.239256376 3
 
1.3%
459411.940883021 3
 
1.3%
458839.741752064 3
 
1.3%
457392.790007931 2
 
0.8%
458301.570845944 2
 
0.8%
459295.255881879 2
 
0.8%
459067.967952989 2
 
0.8%
458080.38272137 2
 
0.8%
Other values (179) 199
84.3%
(Missing) 10
 
4.2%
ValueCountFrequency (%)
444070.8538066 1
0.4%
456410.610918545 1
0.4%
456424.905000965 1
0.4%
456449.379330053 1
0.4%
456503.981256488 1
0.4%
456544.271282905 1
0.4%
456548.893706378 1
0.4%
456559.507883976 1
0.4%
456583.393862442 1
0.4%
456636.308192293 1
0.4%
ValueCountFrequency (%)
462160.312358665 1
0.4%
461999.887275638 1
0.4%
461975.213006348 1
0.4%
460625.584799509 1
0.4%
460613.10848142 1
0.4%
460610.639647348 1
0.4%
460559.230209472 1
0.4%
460550.683229492 1
0.4%
460498.839572896 1
0.4%
460481.153126281 1
0.4%

영업내용
Categorical

IMBALANCE 

Distinct34
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
옥외광고업
169 
<NA>
24 
옥외광고물 제작 및 설치
 
11
옥외광고물 제작
 
2
옥외왕고업
 
1
Other values (29)
29 

Length

Max length26
Median length5
Mean length6.1228814
Min length4

Unique

Unique30 ?
Unique (%)12.7%

Sample

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

Common Values

ValueCountFrequency (%)
옥외광고업 169
71.6%
<NA> 24
 
10.2%
옥외광고물 제작 및 설치 11
 
4.7%
옥외광고물 제작 2
 
0.8%
옥외왕고업 1
 
0.4%
상호변경 1
 
0.4%
상호변경(으뜸기획에서 '진성애드'로 변경) 1
 
0.4%
광고제작 1
 
0.4%
옥외광고멉 1
 
0.4%
광고물 제작 및 설치 1
 
0.4%
Other values (24) 24
 
10.2%

Length

2024-05-11T08:03:35.079004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
옥외광고업 169
52.5%
na 24
 
7.5%
및 23
 
7.1%
제작 20
 
6.2%
옥외광고물 16
 
5.0%
설치 14
 
4.3%
간판 8
 
2.5%
광고물 5
 
1.6%
옥외광고물제작 3
 
0.9%
제조 3
 
0.9%
Other values (35) 37
 
11.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03080000198830800850820000120160108<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-****번지 솔샘로**길**-*서울특별시 강북구 솔샘로**길 **-* (미아동)142815국제종합건업2016-11-23 13:56:20I2018-08-31 23:59:59.0<NA>202361.837997457657.947404옥외광고업
13080000198830800850820000219880713<NA>3폐업40폐업20020630<NA><NA><NA>02 9889182<NA><NA>서울특별시 강북구 수유동 ***-*** 대림서울특별시 강북구 삼양로 ***, 대림 (수유동)01099극동종합광고2020-10-06 15:29:23U2020-10-08 02:40:00.0<NA>201485.034257458718.914415옥외광고업
23080000198830800850820000519880713<NA>3폐업40폐업20061120<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-***서울특별시 강북구 삼양로 *** (미아동)01173현대광고2020-10-06 15:47:51U2020-10-08 02:40:00.0<NA>201760.783975457648.776181옥외광고업
33080000198830800850820000619880713<NA>3폐업40폐업20120228<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-****번지<NA><NA>우이극동광고2016-05-24 09:56:30I2018-08-31 23:59:59.0<NA>201186.272639460613.108481옥외광고업
43080000198830800850820001019880713<NA>2휴업30휴업<NA>2002013020020730<NA>9889182<NA><NA>서울특별시 강북구 수유동 ***-****번지<NA><NA>극동종합광고2016-08-16 13:49:59I2018-08-31 23:59:59.0<NA>201485.034257458718.914415옥외광고업
53080000198830800850820001219880713<NA>3폐업40폐업20050329<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-****번지<NA><NA>경일광고1988-07-13 00:00:00I2018-08-31 23:59:59.0<NA>202059.767194458691.934148옥외광고업
63080000198830800850820001419880713<NA>3폐업40폐업20140407<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-****번지 삼양로***서울특별시 강북구 삼양로 *** (수유동)142891천지공사2014-04-23 16:21:03I2018-08-31 23:59:59.0<NA>201488.790841459114.950197옥외광고업
73080000198830800850820001519880713<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**서울특별시 강북구 한천로***가길 ** (수유동)01070일육공사2021-05-31 17:13:34U2021-06-02 02:40:00.0<NA>201978.04941459942.99365옥외광고업
83080000198830800850820001919880713<NA>3폐업40폐업20050329<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-****번지<NA><NA>삼화종합광고1988-07-13 00:00:00I2018-08-31 23:59:59.0<NA>202638.624397456503.981256옥외광고업
93080000198830800850820002119880713<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-****번지 한천로****서울특별시 강북구 한천로 **** (수유동)142876미광종합광고2018-09-20 14:05:28U2018-09-20 23:59:59.0<NA>201969.587529460060.040467옥외광고업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
2263080000202230801740850000120150121<NA>1영업/정상20정상<NA><NA><NA><NA>02 4777117<NA><NA>서울특별시 강북구 번동 ***-** 강북전자공단 ***호서울특별시 강북구 덕릉로**길 **, 강북전자공단 (번동)01138(주)원포인트듀오2022-03-16 09:19:06I2022-03-18 00:22:36.0<NA>202886.755875459070.360829간판 및 광고물 등 제작
2273080000202230801740850000220220531<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 *** ***호서울특별시 강북구 월계로**길 ** (번동)01226디파인스튜디오2022-05-31 15:09:52I2021-12-06 00:04:00.0<NA>203821.073411458174.192517<NA>
2283080000202230801740850000320220615<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 도봉로 ***-* (미아동)01176라테디자인2022-06-15 16:06:42I2021-12-05 23:08:00.0<NA>202387.95592457645.086699<NA>
2293080000202230801740850000420221202<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 30-26서울특별시 강북구 노해로15길 4 (수유동)01077에이비아이디2022-12-09 13:50:09I2021-11-01 23:01:00.0<NA>201901.570217459766.784723<NA>
230308000020223080174085000052022-12-11<NA>2휴업30휴업2022-12-202023-05-189999-12-31<NA><NA><NA><NA>서울특별시 강북구 번동 ***-** 강북전자공단서울특별시 강북구 덕릉로**길 **, 강북전자공단 지하층 **호 (번동)01138주식회사 무한솔버2023-05-23 15:43:55U2022-12-04 22:05:00.0<NA>202886.755875459070.360829<NA>
2313080000202330801530850000120230104<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 446-13 가든타워빌딩 711호서울특별시 강북구 도봉로 328, 가든타워빌딩 711호 (번동)01062온애드코리아2023-01-05 08:40:36I2022-12-01 00:07:00.0<NA>202155.401317459411.940883<NA>
232308000020233080153085000022023-04-18<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-** 신흥뜨란채 ***호서울특별시 강북구 삼양로**길 **-*, ***호 (미아동, 신흥뜨란채)01181예성기획2023-04-19 07:17:22I2022-12-03 22:03:00.0<NA>201439.949792458005.430068<NA>
233308000020233080153085000032023-07-03<NA>1영업/정상20정상<NA><NA><NA><NA>02 745 2364<NA><NA>서울특별시 강북구 번동 ***-*** 삼청빌라서울특별시 강북구 오현로**다길 **, 지하*층 *호 (번동, 삼청빌라)01149주신종합광고2023-07-13 16:08:51I2022-12-06 23:05:00.0<NA>202956.550272458213.795623<NA>
234308000020233080153085000042023-11-21<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 도봉로 ***-* (미아동)01176마이노스디자인2023-11-22 11:59:53I2022-10-31 22:04:00.0<NA>202387.95592457645.086699<NA>
235308000020243080226085000012024-04-03<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 도봉로**길 **, *층 (미아동)01126간판집이부장2024-04-03 17:34:15I2023-12-04 00:05:00.0<NA>201938.054947458222.403505<NA>