Overview

Dataset statistics

Number of variables26
Number of observations207
Missing cells1491
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.0 KiB
Average record size in memory222.6 B

Variable types

Categorical8
Numeric6
DateTime3
Unsupported5
Text4

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17837/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (53.1%)Imbalance
휴업종료일자 is highly imbalanced (88.8%)Imbalance
데이터갱신일자 is highly imbalanced (51.6%)Imbalance
인허가취소일자 has 207 (100.0%) missing valuesMissing
폐업일자 has 62 (30.0%) missing valuesMissing
휴업시작일자 has 200 (96.6%) missing valuesMissing
재개업일자 has 207 (100.0%) missing valuesMissing
전화번호 has 29 (14.0%) missing valuesMissing
소재지면적 has 207 (100.0%) missing valuesMissing
소재지우편번호 has 207 (100.0%) missing valuesMissing
지번주소 has 3 (1.4%) missing valuesMissing
도로명주소 has 22 (10.6%) missing valuesMissing
도로명우편번호 has 128 (61.8%) missing valuesMissing
업태구분명 has 207 (100.0%) missing valuesMissing
좌표정보(X) has 6 (2.9%) missing valuesMissing
좌표정보(Y) has 6 (2.9%) 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 started2024-04-06 12:07:15.841793
Analysis finished2024-04-06 12:07:16.670700
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3100000
207 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 207
100.0%

Length

2024-04-06T21:07:16.829127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:17.025886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 207
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct207
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0053438 × 1018
Minimum1.98831 × 1018
Maximum2.02431 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T21:07:17.230456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.98831 × 1018
5-th percentile1.99561 × 1018
Q12.00231 × 1018
median2.00231 × 1018
Q32.00931 × 1018
95-th percentile2.02031 × 1018
Maximum2.02431 × 1018
Range3.6000015 × 1016
Interquartile range (IQR)7.0000029 × 1015

Descriptive statistics

Standard deviation7.3282186 × 1015
Coefficient of variation (CV)0.0036543452
Kurtosis0.25953988
Mean2.0053438 × 1018
Median Absolute Deviation (MAD)3.9999989 × 1015
Skewness0.54435636
Sum-9.1689413 × 1018
Variance5.3702788 × 1031
MonotonicityStrictly increasing
2024-04-06T21:07:17.523936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988310008608500016 1
 
0.5%
1988310008608500032 1
 
0.5%
2005310008608200010 1
 
0.5%
2005310008608200011 1
 
0.5%
2005310008608200012 1
 
0.5%
2006310008608200001 1
 
0.5%
2006310008608200002 1
 
0.5%
2006310008608200003 1
 
0.5%
2006310008608200004 1
 
0.5%
2006310008608200005 1
 
0.5%
Other values (197) 197
95.2%
ValueCountFrequency (%)
1988310008608500016 1
0.5%
1988310008608500032 1
0.5%
1988310008608500040 1
0.5%
1988310008608500042 1
0.5%
1991310008608500075 1
0.5%
1991310008608500082 1
0.5%
1993310008608500099 1
0.5%
1993310008608500101 1
0.5%
1994310008608500107 1
0.5%
1994310008608500112 1
0.5%
ValueCountFrequency (%)
2024310024008500001 1
0.5%
2023310024008500003 1
0.5%
2023310024008500002 1
0.5%
2023310024008500001 1
0.5%
2022310024008500002 1
0.5%
2022310024008500001 1
0.5%
2021310024008500001 1
0.5%
2020310024008500005 1
0.5%
2020310024008500004 1
0.5%
2020310024008500003 1
0.5%

인허가일자
Date

Distinct179
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1988-07-04 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T21:07:17.806592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:18.099335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing207
Missing (%)100.0%
Memory size1.9 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
149 
1
52 
4
 
3
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 149
72.0%
1 52
 
25.1%
4 3
 
1.4%
2 3
 
1.4%

Length

2024-04-06T21:07:18.342555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:18.541989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 149
72.0%
1 52
 
25.1%
4 3
 
1.4%
2 3
 
1.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
149 
영업/정상
52 
취소/말소/만료/정지/중지
 
3
휴업
 
3

Length

Max length14
Median length2
Mean length2.9275362
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 149
72.0%
영업/정상 52
 
25.1%
취소/말소/만료/정지/중지 3
 
1.4%
휴업 3
 
1.4%

Length

2024-04-06T21:07:18.759271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:18.972021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 149
72.0%
영업/정상 52
 
25.1%
취소/말소/만료/정지/중지 3
 
1.4%
휴업 3
 
1.4%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.661836
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T21:07:19.164172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q125
median40
Q340
95-th percentile40
Maximum70
Range69
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.01771
Coefficient of variation (CV)0.31786287
Kurtosis1.827531
Mean34.661836
Median Absolute Deviation (MAD)0
Skewness-0.80499479
Sum7175
Variance121.38994
MonotonicityNot monotonic
2024-04-06T21:07:19.398679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 149
72.0%
20 44
 
21.3%
1 5
 
2.4%
70 3
 
1.4%
10 3
 
1.4%
30 3
 
1.4%
ValueCountFrequency (%)
1 5
 
2.4%
10 3
 
1.4%
20 44
 
21.3%
30 3
 
1.4%
40 149
72.0%
70 3
 
1.4%
ValueCountFrequency (%)
70 3
 
1.4%
40 149
72.0%
30 3
 
1.4%
20 44
 
21.3%
10 3
 
1.4%
1 5
 
2.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
149 
정상
44 
<NA>
 
5
취소
 
3
설립신청
 
3

Length

Max length4
Median length2
Mean length2.0772947
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 149
72.0%
정상 44
 
21.3%
<NA> 5
 
2.4%
취소 3
 
1.4%
설립신청 3
 
1.4%
휴업 3
 
1.4%

Length

2024-04-06T21:07:19.690783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:19.948074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 149
72.0%
정상 44
 
21.3%
na 5
 
2.4%
취소 3
 
1.4%
설립신청 3
 
1.4%
휴업 3
 
1.4%

폐업일자
Date

MISSING 

Distinct113
Distinct (%)77.9%
Missing62
Missing (%)30.0%
Memory size1.7 KiB
Minimum1997-11-20 00:00:00
Maximum2024-01-19 00:00:00
2024-04-06T21:07:20.214537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:20.514639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing200
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean20190684
Minimum20091229
Maximum20220519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T21:07:20.753747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091229
5-th percentile20118045
Q120195608
median20210607
Q320210608
95-th percentile20217546
Maximum20220519
Range129290
Interquartile range (IQR)15000.5

Descriptive statistics

Standard deviation45589.46
Coefficient of variation (CV)0.0022579453
Kurtosis5.3243025
Mean20190684
Median Absolute Deviation (MAD)6
Skewness-2.2817278
Sum1.4133479 × 108
Variance2.0783989 × 109
MonotonicityNot monotonic
2024-04-06T21:07:20.988244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20091229 1
 
0.5%
20220519 1
 
0.5%
20210607 1
 
0.5%
20210608 1
 
0.5%
20180615 1
 
0.5%
20210601 1
 
0.5%
20210609 1
 
0.5%
(Missing) 200
96.6%
ValueCountFrequency (%)
20091229 1
0.5%
20180615 1
0.5%
20210601 1
0.5%
20210607 1
0.5%
20210608 1
0.5%
20210609 1
0.5%
20220519 1
0.5%
ValueCountFrequency (%)
20220519 1
0.5%
20210609 1
0.5%
20210608 1
0.5%
20210607 1
0.5%
20210601 1
0.5%
20180615 1
0.5%
20091229 1
0.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
200 
20241231
 
2
20220608
 
2
20101228
 
1
20190614
 
1

Length

Max length8
Median length4
Mean length4.1352657
Min length4

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 200
96.6%
20241231 2
 
1.0%
20220608 2
 
1.0%
20101228 1
 
0.5%
20190614 1
 
0.5%
20211230 1
 
0.5%

Length

2024-04-06T21:07:21.258562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:21.509257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 200
96.6%
20241231 2
 
1.0%
20220608 2
 
1.0%
20101228 1
 
0.5%
20190614 1
 
0.5%
20211230 1
 
0.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing207
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct162
Distinct (%)91.0%
Missing29
Missing (%)14.0%
Memory size1.7 KiB
2024-04-06T21:07:22.137548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.825843
Min length7

Characters and Unicode

Total characters1927
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

Unique153 ?
Unique (%)86.0%

Sample

1st row02 976 8061
2nd row02 918 2495
3rd row02 000 0000
4th row02 931 9111
5th row02 938 4507
ValueCountFrequency (%)
02 139
32.7%
939 14
 
3.3%
000 9
 
2.1%
0000 9
 
2.1%
952 8
 
1.9%
936 8
 
1.9%
934 5
 
1.2%
932 5
 
1.2%
971 5
 
1.2%
937 4
 
0.9%
Other values (188) 219
51.5%
2024-04-06T21:07:23.265476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
19.3%
0 311
16.1%
2 245
12.7%
9 229
11.9%
3 152
7.9%
4 120
 
6.2%
1 116
 
6.0%
7 110
 
5.7%
5 103
 
5.3%
8 89
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1556
80.7%
Space Separator 371
 
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 311
20.0%
2 245
15.7%
9 229
14.7%
3 152
9.8%
4 120
 
7.7%
1 116
 
7.5%
7 110
 
7.1%
5 103
 
6.6%
8 89
 
5.7%
6 81
 
5.2%
Space Separator
ValueCountFrequency (%)
371
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1927
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
371
19.3%
0 311
16.1%
2 245
12.7%
9 229
11.9%
3 152
7.9%
4 120
 
6.2%
1 116
 
6.0%
7 110
 
5.7%
5 103
 
5.3%
8 89
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
19.3%
0 311
16.1%
2 245
12.7%
9 229
11.9%
3 152
7.9%
4 120
 
6.2%
1 116
 
6.0%
7 110
 
5.7%
5 103
 
5.3%
8 89
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing207
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing207
Missing (%)100.0%
Memory size1.9 KiB

지번주소
Text

MISSING 

Distinct119
Distinct (%)58.3%
Missing3
Missing (%)1.4%
Memory size1.7 KiB
2024-04-06T21:07:23.726294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length25.691176
Min length17

Characters and Unicode

Total characters5241
Distinct characters113
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

Unique95 ?
Unique (%)46.6%

Sample

1st row서울특별시 노원구 공릉동 ***-**번지 *통*반 .
2nd row서울특별시 노원구 월계동 ***-**번지 *통*반 .
3rd row서울특별시 노원구 공릉동 ***-*번지 *통*반 .
4th row서울특별시 노원구 상계동 ***-*번지 *통*반 주공*단지상가 ***동
5th row서울특별시 노원구 상계동 ***-*번지 *통*반 .
ValueCountFrequency (%)
서울특별시 204
20.5%
노원구 204
20.5%
번지 145
14.6%
상계동 107
10.8%
91
9.2%
공릉동 60
 
6.0%
통*반 38
 
3.8%
호 25
 
2.5%
중계동 18
 
1.8%
층 16
 
1.6%
Other values (56) 85
8.6%
2024-04-06T21:07:24.478179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1141
21.8%
934
17.8%
동 215
 
4.1%
원 208
 
4.0%
노 207
 
3.9%
서 206
 
3.9%
울 206
 
3.9%
구 204
 
3.9%
시 204
 
3.9%
별 204
 
3.9%
Other values (103) 1512
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2939
56.1%
Other Punctuation 1172
 
22.4%
Space Separator 934
 
17.8%
Dash Punctuation 182
 
3.5%
Uppercase Letter 5
 
0.1%
Decimal Number 4
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 215
 
7.3%
원 208
 
7.1%
노 207
 
7.0%
서 206
 
7.0%
울 206
 
7.0%
구 204
 
6.9%
시 204
 
6.9%
별 204
 
6.9%
특 204
 
6.9%
지 155
 
5.3%
Other values (89) 926
31.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
C 1
20.0%
S 1
20.0%
K 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1141
97.4%
. 30
 
2.6%
, 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
4 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
934
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2939
56.1%
Common 2297
43.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 215
 
7.3%
원 208
 
7.1%
노 207
 
7.0%
서 206
 
7.0%
울 206
 
7.0%
구 204
 
6.9%
시 204
 
6.9%
별 204
 
6.9%
특 204
 
6.9%
지 155
 
5.3%
Other values (89) 926
31.5%
Common
ValueCountFrequency (%)
* 1141
49.7%
934
40.7%
- 182
 
7.9%
. 30
 
1.3%
( 3
 
0.1%
0 2
 
0.1%
) 2
 
0.1%
, 1
 
< 0.1%
4 1
 
< 0.1%
1 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 2
40.0%
C 1
20.0%
S 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2939
56.1%
ASCII 2302
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1141
49.6%
934
40.6%
- 182
 
7.9%
. 30
 
1.3%
( 3
 
0.1%
0 2
 
0.1%
) 2
 
0.1%
B 2
 
0.1%
, 1
 
< 0.1%
4 1
 
< 0.1%
Other values (4) 4
 
0.2%
Hangul
ValueCountFrequency (%)
동 215
 
7.3%
원 208
 
7.1%
노 207
 
7.0%
서 206
 
7.0%
울 206
 
7.0%
구 204
 
6.9%
시 204
 
6.9%
별 204
 
6.9%
특 204
 
6.9%
지 155
 
5.3%
Other values (89) 926
31.5%

도로명주소
Text

MISSING 

Distinct159
Distinct (%)85.9%
Missing22
Missing (%)10.6%
Memory size1.7 KiB
2024-04-06T21:07:24.997925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length29.956757
Min length22

Characters and Unicode

Total characters5542
Distinct characters125
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

Unique137 ?
Unique (%)74.1%

Sample

1st row서울특별시 노원구 공릉로 *** (공릉동,.)
2nd row서울특별시 노원구 광운로**길 *-* (월계동,.)
3rd row서울특별시 노원구 동일로 *** (공릉동,.)
4th row서울특별시 노원구 노해로 ***, ***동 (상계동,주공*단지상가)
5th row서울특별시 노원구 동일로***길 ** (상계동,.)
ValueCountFrequency (%)
서울특별시 185
18.0%
노원구 185
18.0%
184
17.9%
상계동 84
 
8.2%
공릉동 44
 
4.3%
호 34
 
3.3%
동일로***길 26
 
2.5%
층 20
 
1.9%
동일로 17
 
1.7%
한글비석로 16
 
1.6%
Other values (106) 235
22.8%
2024-04-06T21:07:25.850796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
930
16.8%
* 890
16.1%
동 255
 
4.6%
노 206
 
3.7%
원 200
 
3.6%
서 187
 
3.4%
울 187
 
3.4%
) 187
 
3.4%
( 187
 
3.4%
로 186
 
3.4%
Other values (115) 2127
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3154
56.9%
Other Punctuation 1045
 
18.9%
Space Separator 930
 
16.8%
Close Punctuation 187
 
3.4%
Open Punctuation 187
 
3.4%
Dash Punctuation 24
 
0.4%
Decimal Number 8
 
0.1%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 255
 
8.1%
노 206
 
6.5%
원 200
 
6.3%
서 187
 
5.9%
울 187
 
5.9%
로 186
 
5.9%
시 185
 
5.9%
별 185
 
5.9%
특 185
 
5.9%
구 185
 
5.9%
Other values (97) 1193
37.8%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
5 1
 
12.5%
4 1
 
12.5%
0 1
 
12.5%
3 1
 
12.5%
9 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
K 2
28.6%
B 2
28.6%
T 1
14.3%
C 1
14.3%
S 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 890
85.2%
, 127
 
12.2%
. 28
 
2.7%
Space Separator
ValueCountFrequency (%)
930
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3154
56.9%
Common 2381
43.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 255
 
8.1%
노 206
 
6.5%
원 200
 
6.3%
서 187
 
5.9%
울 187
 
5.9%
로 186
 
5.9%
시 185
 
5.9%
별 185
 
5.9%
특 185
 
5.9%
구 185
 
5.9%
Other values (97) 1193
37.8%
Common
ValueCountFrequency (%)
930
39.1%
* 890
37.4%
) 187
 
7.9%
( 187
 
7.9%
, 127
 
5.3%
. 28
 
1.2%
- 24
 
1.0%
1 3
 
0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
Other values (3) 3
 
0.1%
Latin
ValueCountFrequency (%)
K 2
28.6%
B 2
28.6%
T 1
14.3%
C 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3154
56.9%
ASCII 2388
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
930
38.9%
* 890
37.3%
) 187
 
7.8%
( 187
 
7.8%
, 127
 
5.3%
. 28
 
1.2%
- 24
 
1.0%
1 3
 
0.1%
K 2
 
0.1%
B 2
 
0.1%
Other values (8) 8
 
0.3%
Hangul
ValueCountFrequency (%)
동 255
 
8.1%
노 206
 
6.5%
원 200
 
6.3%
서 187
 
5.9%
울 187
 
5.9%
로 186
 
5.9%
시 185
 
5.9%
별 185
 
5.9%
특 185
 
5.9%
구 185
 
5.9%
Other values (97) 1193
37.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)73.4%
Missing128
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean24403.354
Minimum1609
Maximum139942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T21:07:26.151314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1609
5-th percentile1630.9
Q11680
median1764
Q31858
95-th percentile139800.4
Maximum139942
Range138333
Interquartile range (IQR)178

Descriptive statistics

Standard deviation51385.018
Coefficient of variation (CV)2.1056539
Kurtosis1.4384466
Mean24403.354
Median Absolute Deviation (MAD)94
Skewness1.8446149
Sum1927865
Variance2.6404201 × 109
MonotonicityNot monotonic
2024-04-06T21:07:26.849748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1681 4
 
1.9%
1684 4
 
1.9%
139202 3
 
1.4%
1724 3
 
1.4%
1858 3
 
1.4%
139204 2
 
1.0%
1668 2
 
1.0%
1788 2
 
1.0%
1664 2
 
1.0%
1787 2
 
1.0%
Other values (48) 52
25.1%
(Missing) 128
61.8%
ValueCountFrequency (%)
1609 1
0.5%
1614 1
0.5%
1630 2
1.0%
1631 1
0.5%
1633 1
0.5%
1634 1
0.5%
1638 1
0.5%
1647 1
0.5%
1660 1
0.5%
1662 1
0.5%
ValueCountFrequency (%)
139942 1
 
0.5%
139815 1
 
0.5%
139809 1
 
0.5%
139804 1
 
0.5%
139800 1
 
0.5%
139242 1
 
0.5%
139205 1
 
0.5%
139204 2
1.0%
139202 3
1.4%
139201 1
 
0.5%

사업장명
Text

Distinct198
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T21:07:27.424922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.4154589
Min length2

Characters and Unicode

Total characters1121
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

Unique189 ?
Unique (%)91.3%

Sample

1st row두산광고
2nd row성북광고
3rd row미림건업
4th row대신광고
5th row동아광고
ValueCountFrequency (%)
창인애드 2
 
0.9%
중앙공사 2
 
0.9%
주)대흥애드컴 2
 
0.9%
비젼기업 2
 
0.9%
우진기획 2
 
0.9%
다산디자인 2
 
0.9%
대한기획 2
 
0.9%
주)재우씨엔씨 2
 
0.9%
인플러스 2
 
0.9%
서울광고기획 1
 
0.5%
Other values (193) 193
91.0%
2024-04-06T21:07:28.279934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 64
 
5.7%
고 62
 
5.5%
기 59
 
5.3%
인 54
 
4.8%
획 47
 
4.2%
( 34
 
3.0%
) 34
 
3.0%
주 32
 
2.9%
디 28
 
2.5%
드 27
 
2.4%
Other values (218) 680
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1024
91.3%
Open Punctuation 34
 
3.0%
Close Punctuation 34
 
3.0%
Uppercase Letter 14
 
1.2%
Decimal Number 7
 
0.6%
Space Separator 5
 
0.4%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 64
 
6.2%
고 62
 
6.1%
기 59
 
5.8%
인 54
 
5.3%
획 47
 
4.6%
주 32
 
3.1%
디 28
 
2.7%
드 27
 
2.6%
자 27
 
2.6%
애 22
 
2.1%
Other values (196) 602
58.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
D 2
14.3%
G 1
 
7.1%
M 1
 
7.1%
N 1
 
7.1%
U 1
 
7.1%
O 1
 
7.1%
Y 1
 
7.1%
L 1
 
7.1%
A 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
2 1
 
14.3%
1 1
 
14.3%
5 1
 
14.3%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1024
91.3%
Common 83
 
7.4%
Latin 14
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 64
 
6.2%
고 62
 
6.1%
기 59
 
5.8%
인 54
 
5.3%
획 47
 
4.6%
주 32
 
3.1%
디 28
 
2.7%
드 27
 
2.6%
자 27
 
2.6%
애 22
 
2.1%
Other values (196) 602
58.8%
Common
ValueCountFrequency (%)
( 34
41.0%
) 34
41.0%
5
 
6.0%
0 3
 
3.6%
- 1
 
1.2%
2 1
 
1.2%
1 1
 
1.2%
5 1
 
1.2%
3 1
 
1.2%
& 1
 
1.2%
Latin
ValueCountFrequency (%)
S 3
21.4%
D 2
14.3%
G 1
 
7.1%
M 1
 
7.1%
N 1
 
7.1%
U 1
 
7.1%
O 1
 
7.1%
Y 1
 
7.1%
L 1
 
7.1%
A 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
91.3%
ASCII 97
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 64
 
6.2%
고 62
 
6.1%
기 59
 
5.8%
인 54
 
5.3%
획 47
 
4.6%
주 32
 
3.1%
디 28
 
2.7%
드 27
 
2.6%
자 27
 
2.6%
애 22
 
2.1%
Other values (196) 602
58.8%
ASCII
ValueCountFrequency (%)
( 34
35.1%
) 34
35.1%
5
 
5.2%
0 3
 
3.1%
S 3
 
3.1%
D 2
 
2.1%
G 1
 
1.0%
M 1
 
1.0%
N 1
 
1.0%
U 1
 
1.0%
Other values (12) 12
 
12.4%

최종수정일자
Date

Distinct187
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1988-07-14 00:00:00
Maximum2024-04-04 10:04:07
2024-04-06T21:07:28.535275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:28.808498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
134 
U
73 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 134
64.7%
U 73
35.3%

Length

2024-04-06T21:07:29.048119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:29.259179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 134
64.7%
u 73
35.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct46
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2018-08-31 23:59:59.0
131 
2021-12-04 22:02:00.0
20 
2021-12-04 22:05:00.0
 
6
2021-06-13 02:40:00.0
 
3
2022-12-04 22:06:00.0
 
3
Other values (41)
44 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique38 ?
Unique (%)18.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 131
63.3%
2021-12-04 22:02:00.0 20
 
9.7%
2021-12-04 22:05:00.0 6
 
2.9%
2021-06-13 02:40:00.0 3
 
1.4%
2022-12-04 22:06:00.0 3
 
1.4%
2020-10-17 02:40:00.0 2
 
1.0%
2021-12-05 23:02:00.0 2
 
1.0%
2020-10-18 02:40:00.0 2
 
1.0%
2021-12-05 23:00:00.0 1
 
0.5%
2021-10-31 23:03:00.0 1
 
0.5%
Other values (36) 36
 
17.4%

Length

2024-04-06T21:07:29.492717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 131
31.6%
23:59:59.0 131
31.6%
02:40:00.0 28
 
6.8%
2021-12-04 26
 
6.3%
22:02:00.0 20
 
4.8%
22:05:00.0 7
 
1.7%
2022-12-04 4
 
1.0%
22:06:00.0 4
 
1.0%
2021-12-05 3
 
0.7%
23:02:00.0 3
 
0.7%
Other values (49) 57
13.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing207
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)87.6%
Missing6
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean206149.85
Minimum204375.49
Maximum208347.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T21:07:29.731795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204375.49
5-th percentile204837.74
Q1205831.01
median206288.31
Q3206601.59
95-th percentile207154.39
Maximum208347.88
Range3972.3985
Interquartile range (IQR)770.57461

Descriptive statistics

Standard deviation707.51564
Coefficient of variation (CV)0.0034320453
Kurtosis0.0690293
Mean206149.85
Median Absolute Deviation (MAD)368.04361
Skewness-0.51644038
Sum41436121
Variance500578.37
MonotonicityNot monotonic
2024-04-06T21:07:30.123854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206498.395671689 3
 
1.4%
206398.704431349 3
 
1.4%
206219.437371151 3
 
1.4%
206906.359523849 3
 
1.4%
204950.46065941 3
 
1.4%
205215.260764535 2
 
1.0%
206388.862348732 2
 
1.0%
205462.399110919 2
 
1.0%
206787.785139191 2
 
1.0%
206114.433346931 2
 
1.0%
Other values (166) 176
85.0%
(Missing) 6
 
2.9%
ValueCountFrequency (%)
204375.486488229 1
0.5%
204454.219222095 1
0.5%
204473.178670599 1
0.5%
204499.882003577 1
0.5%
204589.830805772 1
0.5%
204611.90257177 1
0.5%
204632.929600808 2
1.0%
204780.483091647 1
0.5%
204782.962111555 1
0.5%
204837.736973923 1
0.5%
ValueCountFrequency (%)
208347.884966182 1
0.5%
207323.79160049 1
0.5%
207320.050641075 1
0.5%
207261.162236947 1
0.5%
207256.793125039 1
0.5%
207247.169199779 1
0.5%
207245.469434918 1
0.5%
207209.845059052 1
0.5%
207194.917491927 1
0.5%
207172.356578598 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)87.6%
Missing6
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean460561.37
Minimum457102.15
Maximum464199.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T21:07:30.516997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457102.15
5-th percentile457335.81
Q1457966.64
median461535.73
Q3462187.63
95-th percentile463426.62
Maximum464199.05
Range7096.8962
Interquartile range (IQR)4220.987

Descriptive statistics

Standard deviation2197.9036
Coefficient of variation (CV)0.0047722275
Kurtosis-1.4851279
Mean460561.37
Median Absolute Deviation (MAD)1609.6185
Skewness-0.29107686
Sum92572835
Variance4830780.4
MonotonicityNot monotonic
2024-04-06T21:07:30.822157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457918.403662686 3
 
1.4%
461941.994104029 3
 
1.4%
459926.107544031 3
 
1.4%
457963.196810318 3
 
1.4%
463353.820062871 3
 
1.4%
461271.987502206 2
 
1.0%
457966.641016107 2
 
1.0%
461302.881722503 2
 
1.0%
461559.743384567 2
 
1.0%
462154.693153904 2
 
1.0%
Other values (166) 176
85.0%
(Missing) 6
 
2.9%
ValueCountFrequency (%)
457102.152209467 1
0.5%
457123.058158045 1
0.5%
457191.999917432 1
0.5%
457212.88939963 1
0.5%
457260.905627472 1
0.5%
457264.89103037 1
0.5%
457270.398697324 1
0.5%
457314.629851578 1
0.5%
457333.603315893 2
1.0%
457335.808189892 1
0.5%
ValueCountFrequency (%)
464199.048415229 1
0.5%
464007.070100909 1
0.5%
463750.325234068 1
0.5%
463706.959505603 2
1.0%
463686.898772462 1
0.5%
463655.780989772 1
0.5%
463532.934877533 1
0.5%
463464.81234366 1
0.5%
463451.443221064 1
0.5%
463426.615582528 1
0.5%

영업내용
Categorical

Distinct49
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
옥외광고물제작
46 
옥외광고업
45 
<NA>
45 
옥외광고물 제작
14 
광고물제작
6 
Other values (44)
51 

Length

Max length37
Median length32
Mean length7.3574879
Min length4

Unique

Unique39 ?
Unique (%)18.8%

Sample

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

Common Values

ValueCountFrequency (%)
옥외광고물제작 46
22.2%
옥외광고업 45
21.7%
<NA> 45
21.7%
옥외광고물 제작 14
 
6.8%
광고물제작 6
 
2.9%
옥외광고제작업 4
 
1.9%
옥외광고물 제작 및 광고대행 2
 
1.0%
현수막제작 2
 
1.0%
옥외광고물 제작 및 설치 2
 
1.0%
옥외광고물 디자인 및 제작 2
 
1.0%
Other values (39) 39
18.8%

Length

2024-04-06T21:07:31.223399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
옥외광고물제작 48
15.1%
옥외광고업 46
14.5%
na 45
14.2%
제작 27
 
8.5%
옥외광고물 25
 
7.9%
및 22
 
6.9%
광고대행 10
 
3.2%
광고물제작 7
 
2.2%
옥외광고제작업 4
 
1.3%
등 4
 
1.3%
Other values (58) 79
24.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03100000198831000860850001619880714<NA>3폐업40폐업20091231<NA><NA><NA>02 976 8061<NA><NA>서울특별시 노원구 공릉동 ***-**번지 *통*반 .서울특별시 노원구 공릉로 *** (공릉동,.)<NA>두산광고2009-12-31 09:54:47I2018-08-31 23:59:59.0<NA>206797.15129458441.087967옥외광고물제작
13100000198831000860850003219880714<NA>3폐업40폐업19990219<NA><NA><NA>02 918 2495<NA><NA>서울특별시 노원구 월계동 ***-**번지 *통*반 .서울특별시 노원구 광운로**길 *-* (월계동,.)<NA>성북광고2008-02-01 14:12:22I2018-08-31 23:59:59.0<NA>205144.573029457779.039833옥외광고물제작
23100000198831000860850004019880818<NA>3폐업40폐업19981229<NA><NA><NA>02 000 0000<NA><NA>서울특별시 노원구 공릉동 ***-*번지 *통*반 .서울특별시 노원구 동일로 *** (공릉동,.)<NA>미림건업2008-02-01 14:12:22I2018-08-31 23:59:59.0<NA>206601.589473457403.782431옥외광고물제작
33100000198831000860850004219880818<NA>3폐업40폐업20091231<NA><NA><NA>02 931 9111<NA><NA>서울특별시 노원구 상계동 ***-*번지 *통*반 주공*단지상가 ***동서울특별시 노원구 노해로 ***, ***동 (상계동,주공*단지상가)<NA>대신광고2009-12-31 09:55:40I2018-08-31 23:59:59.0<NA>205597.839995461385.208899옥외광고물제작
43100000199131000860850007519910516<NA>3폐업40폐업19991001<NA><NA><NA>02 938 4507<NA><NA>서울특별시 노원구 상계동 ***-*번지 *통*반 .서울특별시 노원구 동일로***길 ** (상계동,.)<NA>동아광고2008-02-01 14:12:22I2018-08-31 23:59:59.0<NA>205043.375638461213.592648옥외광고물제작
53100000199131000860850008219910919<NA>3폐업40폐업20091231<NA><NA><NA>02 937 8894<NA><NA>서울특별시 노원구 상계동 ***-*번지 *통*반 .서울특별시 노원구 상계로 ** (상계동,.)<NA>동성사2009-12-31 09:56:52I2018-08-31 23:59:59.0<NA>205652.189566461608.038059옥외광고물제작
63100000199331000860850009919930206<NA>3폐업40폐업19981205<NA><NA><NA>02 000 0000<NA><NA>서울특별시 노원구 상계동 ***-**번지 *통*반 .서울특별시 노원구 한글비석로**길 ** (상계동,.)<NA>새석광고기획2008-02-01 14:12:22I2018-08-31 23:59:59.0<NA>206316.444083462233.051665옥외광고물제작
73100000199331000860850010119930709<NA>3폐업40폐업19990219<NA><NA><NA>02 936 1941<NA><NA>서울특별시 노원구 상계동 ***-**번지 *통*반 .서울특별시 노원구 덕릉로***길 ** (상계동,.)<NA>삼진광고2008-02-01 14:12:22I2018-08-31 23:59:59.0<NA>206734.736038462757.076549옥외광고물제작
83100000199431000860850010719940525<NA>3폐업40폐업20000608<NA><NA><NA>02 939 0180<NA><NA>서울특별시 노원구 상계동 ***-***번지 *통*반 .서울특별시 노원구 한글비석로 *** (상계동,.)<NA>새서울디자인광고2008-02-01 14:12:22I2018-08-31 23:59:59.0<NA>206100.354017462167.398566옥외광고물제작
93100000199431000860850011219941202<NA>3폐업40폐업19990219<NA><NA><NA>02 952 1831<NA><NA>서울특별시 노원구 월계동 **-*번지 *통*반 .서울특별시 노원구 석계로 ** (월계동,.)<NA>필광고2008-02-01 14:12:22I2018-08-31 23:59:59.0<NA>205621.474027457123.058158옥외광고물제작
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
1973100000202031002400850000320200401<NA>3폐업40폐업202107162021060920220608<NA><NA><NA><NA>서울특별시 노원구 상계동 ***-***서울특별시 노원구 한글비석로**길 ** (상계동)1663라인광고2021-07-20 18:08:46U2021-07-22 02:40:00.0<NA>206254.053106462106.968951간판제작 및 디자인
1983100000202031002400850000420200928<NA>3폐업40폐업20210514<NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 *** 대호프라자서울특별시 노원구 한글비석로 ***, 대호프라자 (중계동)1662아름다운동행 장애인복지 협동조합2021-05-20 15:04:43U2021-05-22 02:40:00.0<NA>206398.704431461941.994104옥외광고 제작 등
1993100000202031002400850000520200925<NA>3폐업40폐업20210906<NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 *** 화인상가아파트서울특별시 노원구 중계로 ***, 화인상가아파트 ***호 (중계동)1724디자인아띠그래픽2021-09-06 09:17:46U2021-09-08 02:40:00.0<NA>207109.026244460787.282705옥외광고 제작, 공공미술, 환경디자인, 그래픽 출력
2003100000202131002400850000120210607<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-**서울특별시 노원구 한글비석로**길 ** (상계동)1679고려광고기획2022-05-20 18:22:57U2021-12-04 22:02:00.0<NA>205795.256201462085.706267<NA>
2013100000202231002400850000120220329<NA>1영업/정상20정상<NA><NA><NA><NA>02 22799916<NA><NA>서울특별시 노원구 월계동 ***-**서울특별시 노원구 월계로**길 ** (월계동)1884(주)엠에스플랜2023-01-13 10:58:26U2022-11-30 23:05:00.0<NA>204473.178671457926.268144<NA>
202310000020223100240085000022022-05-10<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ****-*서울특별시 노원구 동일로***길 **, ***호 (상계동)1614엘에스(LS)광고기획2023-08-29 17:27:38U2022-12-07 21:01:00.0<NA>204454.219222463426.615583<NA>
203310000020233100240085000012022-12-29<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 동일로***가길 **, *층 (공릉동)1852열무기획2023-02-07 15:11:15U2022-12-04 22:06:00.0<NA>206222.043325458241.625502<NA>
204310000020233100240085000022023-01-09<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 한글비석로**길 **, *층 (상계동)1664가나기업2023-01-09 13:15:56I2022-12-04 22:06:00.0<NA>206314.90291462357.465711<NA>
205310000020233100240085000032023-02-01<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계로**길 **, 지층 (상계동)1684(주)정원기업2023-02-13 16:48:04U2022-12-04 22:06:00.0<NA>205939.422973461871.829918<NA>
206310000020243100240085000012024-04-03<NA>1영업/정상20정상<NA><NA><NA><NA>029538410<NA><NA>서울특별시 노원구 공릉동 ***-** 영진빌딩서울특별시 노원구 동일로 ****, 영진빌딩 *층 (공릉동)1857(주)천광애드컴2024-04-04 10:04:07I2023-12-04 00:06:00.0<NA>206388.862349457966.641016<NA>