Overview

Dataset statistics

Number of variables27
Number of observations396
Missing cells3461
Missing cells (%)32.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory88.7 KiB
Average record size in memory229.3 B

Variable types

Categorical8
Numeric4
DateTime4
Unsupported6
Text5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),법인구분명,구분명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-20202/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 396 (100.0%) missing valuesMissing
폐업일자 has 229 (57.8%) missing valuesMissing
휴업시작일자 has 396 (100.0%) missing valuesMissing
휴업종료일자 has 396 (100.0%) missing valuesMissing
재개업일자 has 396 (100.0%) missing valuesMissing
전화번호 has 226 (57.1%) missing valuesMissing
소재지면적 has 396 (100.0%) missing valuesMissing
소재지우편번호 has 312 (78.8%) missing valuesMissing
지번주소 has 10 (2.5%) missing valuesMissing
도로명주소 has 45 (11.4%) missing valuesMissing
도로명우편번호 has 215 (54.3%) missing valuesMissing
업태구분명 has 396 (100.0%) missing valuesMissing
좌표정보(X) has 24 (6.1%) missing valuesMissing
좌표정보(Y) has 24 (6.1%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 has 5 (1.3%) zerosZeros

Reproduction

Analysis started2024-04-29 20:06:44.985855
Analysis finished2024-04-29 20:06:45.849320
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3000000
396 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 396
100.0%

Length

2024-04-30T05:06:45.916350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:45.992992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 396
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct396
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0096864 × 1018
Minimum1.9873 × 1018
Maximum2.0243 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-30T05:06:46.084179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9873 × 1018
5-th percentile1.9993 × 1018
Q12.0033 × 1018
median2.0078 × 1018
Q32.0173 × 1018
95-th percentile2.0233 × 1018
Maximum2.0243 × 1018
Range3.7000017 × 1016
Interquartile range (IQR)1.4000009 × 1016

Descriptive statistics

Standard deviation7.8204401 × 1015
Coefficient of variation (CV)0.0038913734
Kurtosis-0.85201525
Mean2.0096864 × 1018
Median Absolute Deviation (MAD)5.500005 × 1015
Skewness0.2755266
Sum2.6258099 × 1018
Variance6.1159283 × 1031
MonotonicityStrictly increasing
2024-04-30T05:06:46.213609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1987300007611500001 1
 
0.3%
2014300016914500010 1
 
0.3%
2014300016914500007 1
 
0.3%
2014300016914500006 1
 
0.3%
2014300016914500004 1
 
0.3%
2014300016914500003 1
 
0.3%
2014300016914500001 1
 
0.3%
2013300016914500004 1
 
0.3%
2013300016914500003 1
 
0.3%
2013300016914500002 1
 
0.3%
Other values (386) 386
97.5%
ValueCountFrequency (%)
1987300007611500001 1
0.3%
1991300007611500001 1
0.3%
1993300007611500001 1
0.3%
1994300007611500001 1
0.3%
1994300007611500002 1
0.3%
1996300007611500001 1
0.3%
1996300007611500002 1
0.3%
1996300007611500003 1
0.3%
1996300007611500004 1
0.3%
1996300007611500005 1
0.3%
ValueCountFrequency (%)
2024300024514500007 1
0.3%
2024300024514500006 1
0.3%
2024300024514500005 1
0.3%
2024300024514500004 1
0.3%
2024300024514500003 1
0.3%
2024300024514500002 1
0.3%
2024300024514500001 1
0.3%
2023300020214500025 1
0.3%
2023300020214500024 1
0.3%
2023300020214500023 1
0.3%

인허가일자
Date

Distinct356
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum1987-09-07 00:00:00
Maximum2024-03-20 00:00:00
2024-04-30T05:06:46.349646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:46.472778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3
269 
1
106 
5
 
12
4
 
9

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 (%)
3 269
67.9%
1 106
 
26.8%
5 12
 
3.0%
4 9
 
2.3%

Length

2024-04-30T05:06:46.585174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:46.676057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 269
67.9%
1 106
 
26.8%
5 12
 
3.0%
4 9
 
2.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업
269 
영업/정상
106 
제외/삭제/전출
 
12
취소/말소/만료/정지/중지
 
9

Length

Max length14
Median length2
Mean length3.2575758
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 269
67.9%
영업/정상 106
 
26.8%
제외/삭제/전출 12
 
3.0%
취소/말소/만료/정지/중지 9
 
2.3%

Length

2024-04-30T05:06:46.778820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:46.870294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 269
67.9%
영업/정상 106
 
26.8%
제외/삭제/전출 12
 
3.0%
취소/말소/만료/정지/중지 9
 
2.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
40
269 
20
106 
50
 
12
70
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 269
67.9%
20 106
 
26.8%
50 12
 
3.0%
70 9
 
2.3%

Length

2024-04-30T05:06:46.968332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:47.064322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 269
67.9%
20 106
 
26.8%
50 12
 
3.0%
70 9
 
2.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
폐업
269 
영업중
106 
타시군구이관
 
12
등록취소
 
9

Length

Max length6
Median length2
Mean length2.4343434
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 269
67.9%
영업중 106
 
26.8%
타시군구이관 12
 
3.0%
등록취소 9
 
2.3%

Length

2024-04-30T05:06:47.161482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:47.277817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 269
67.9%
영업중 106
 
26.8%
타시군구이관 12
 
3.0%
등록취소 9
 
2.3%

폐업일자
Date

MISSING 

Distinct163
Distinct (%)97.6%
Missing229
Missing (%)57.8%
Memory size3.2 KiB
Minimum2004-07-19 00:00:00
Maximum2024-03-27 00:00:00
2024-04-30T05:06:47.370389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:47.495406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

전화번호
Text

MISSING 

Distinct168
Distinct (%)98.8%
Missing226
Missing (%)57.1%
Memory size3.2 KiB
2024-04-30T05:06:47.704538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.282353
Min length7

Characters and Unicode

Total characters1748
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

Unique166 ?
Unique (%)97.6%

Sample

1st row02 732 8686
2nd row7430038
3rd row02 7666540
4th row22780017
5th row7416800
ValueCountFrequency (%)
02 91
28.3%
747 6
 
1.9%
722 5
 
1.6%
742 4
 
1.2%
1919 3
 
0.9%
743 3
 
0.9%
741 3
 
0.9%
763 3
 
0.9%
723 3
 
0.9%
766 2
 
0.6%
Other values (192) 199
61.8%
2024-04-30T05:06:48.046315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 319
18.2%
0 266
15.2%
243
13.9%
7 189
10.8%
3 142
8.1%
4 107
 
6.1%
6 105
 
6.0%
1 103
 
5.9%
8 97
 
5.5%
5 92
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1505
86.1%
Space Separator 243
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 319
21.2%
0 266
17.7%
7 189
12.6%
3 142
9.4%
4 107
 
7.1%
6 105
 
7.0%
1 103
 
6.8%
8 97
 
6.4%
5 92
 
6.1%
9 85
 
5.6%
Space Separator
ValueCountFrequency (%)
243
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1748
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 319
18.2%
0 266
15.2%
243
13.9%
7 189
10.8%
3 142
8.1%
4 107
 
6.1%
6 105
 
6.0%
1 103
 
5.9%
8 97
 
5.5%
5 92
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 319
18.2%
0 266
15.2%
243
13.9%
7 189
10.8%
3 142
8.1%
4 107
 
6.1%
6 105
 
6.0%
1 103
 
5.9%
8 97
 
5.5%
5 92
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)53.6%
Missing312
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean104234.18
Minimum0
Maximum135081
Zeros5
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-30T05:06:48.165877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16501.8
Q1110125
median110540
Q3110826
95-th percentile110884.25
Maximum135081
Range135081
Interquartile range (IQR)701

Descriptive statistics

Standard deviation26517.542
Coefficient of variation (CV)0.25440352
Kurtosis12.375
Mean104234.18
Median Absolute Deviation (MAD)286
Skewness-3.7155689
Sum8755671
Variance7.0318006 × 108
MonotonicityNot monotonic
2024-04-30T05:06:48.301382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
110123 6
 
1.5%
110420 6
 
1.5%
110540 5
 
1.3%
0 5
 
1.3%
110826 5
 
1.3%
110858 4
 
1.0%
110550 4
 
1.0%
110125 3
 
0.8%
110888 3
 
0.8%
110320 3
 
0.8%
Other values (35) 40
 
10.1%
(Missing) 312
78.8%
ValueCountFrequency (%)
0 5
1.3%
110012 1
 
0.3%
110052 1
 
0.3%
110061 2
 
0.5%
110071 1
 
0.3%
110101 1
 
0.3%
110121 1
 
0.3%
110122 1
 
0.3%
110123 6
1.5%
110125 3
0.8%
ValueCountFrequency (%)
135081 1
 
0.3%
110999 1
 
0.3%
110888 3
0.8%
110863 1
 
0.3%
110862 2
0.5%
110858 4
1.0%
110854 1
 
0.3%
110853 1
 
0.3%
110840 1
 
0.3%
110836 1
 
0.3%

지번주소
Text

MISSING 

Distinct370
Distinct (%)95.9%
Missing10
Missing (%)2.5%
Memory size3.2 KiB
2024-04-30T05:06:48.580708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length30.093264
Min length16

Characters and Unicode

Total characters11616
Distinct characters289
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)92.2%

Sample

1st row서울특별시 종로구 낙원동 99번지 1호 16통 3반
2nd row서울특별시 종로구 숭인1동 72번지 9호 삼관빌딩301호
3rd row서울특별시 관악구 봉천동 1549번지 31호 21통 10반
4th row서울특별시 종로구 종로3가 13번지 1호
5th row경기도 고양시일산구 탄현동 121호 41통 2반 큰마을현대아파트 121 1803
ValueCountFrequency (%)
서울특별시 340
 
13.4%
종로구 248
 
9.7%
1호 56
 
2.2%
숭인동 36
 
1.4%
경기도 36
 
1.4%
종로5가 27
 
1.1%
창신동 27
 
1.1%
6반 21
 
0.8%
종로3가 20
 
0.8%
1반 19
 
0.7%
Other values (931) 1716
67.4%
2024-04-30T05:06:49.049628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2352
20.2%
1 630
 
5.4%
시 389
 
3.3%
2 383
 
3.3%
구 374
 
3.2%
서 361
 
3.1%
호 352
 
3.0%
별 343
 
3.0%
울 343
 
3.0%
특 340
 
2.9%
Other values (279) 5749
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6573
56.6%
Decimal Number 2619
 
22.5%
Space Separator 2352
 
20.2%
Dash Punctuation 41
 
0.4%
Uppercase Letter 16
 
0.1%
Lowercase Letter 6
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 389
 
5.9%
구 374
 
5.7%
서 361
 
5.5%
호 352
 
5.4%
별 343
 
5.2%
울 343
 
5.2%
특 340
 
5.2%
로 338
 
5.1%
동 333
 
5.1%
종 325
 
4.9%
Other values (251) 3075
46.8%
Decimal Number
ValueCountFrequency (%)
1 630
24.1%
2 383
14.6%
0 300
11.5%
3 297
11.3%
5 237
 
9.0%
4 227
 
8.7%
6 176
 
6.7%
8 130
 
5.0%
7 129
 
4.9%
9 110
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 5
31.2%
K 2
 
12.5%
S 2
 
12.5%
C 2
 
12.5%
D 1
 
6.2%
T 1
 
6.2%
A 1
 
6.2%
M 1
 
6.2%
Y 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
o 1
 
16.7%
w 1
 
16.7%
r 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6573
56.6%
Common 5021
43.2%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 389
 
5.9%
구 374
 
5.7%
서 361
 
5.5%
호 352
 
5.4%
별 343
 
5.2%
울 343
 
5.2%
특 340
 
5.2%
로 338
 
5.1%
동 333
 
5.1%
종 325
 
4.9%
Other values (251) 3075
46.8%
Common
ValueCountFrequency (%)
2352
46.8%
1 630
 
12.5%
2 383
 
7.6%
0 300
 
6.0%
3 297
 
5.9%
5 237
 
4.7%
4 227
 
4.5%
6 176
 
3.5%
8 130
 
2.6%
7 129
 
2.6%
Other values (5) 160
 
3.2%
Latin
ValueCountFrequency (%)
B 5
22.7%
e 3
13.6%
K 2
 
9.1%
S 2
 
9.1%
C 2
 
9.1%
D 1
 
4.5%
T 1
 
4.5%
o 1
 
4.5%
w 1
 
4.5%
r 1
 
4.5%
Other values (3) 3
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6573
56.6%
ASCII 5043
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2352
46.6%
1 630
 
12.5%
2 383
 
7.6%
0 300
 
5.9%
3 297
 
5.9%
5 237
 
4.7%
4 227
 
4.5%
6 176
 
3.5%
8 130
 
2.6%
7 129
 
2.6%
Other values (18) 182
 
3.6%
Hangul
ValueCountFrequency (%)
시 389
 
5.9%
구 374
 
5.7%
서 361
 
5.5%
호 352
 
5.4%
별 343
 
5.2%
울 343
 
5.2%
특 340
 
5.2%
로 338
 
5.1%
동 333
 
5.1%
종 325
 
4.9%
Other values (251) 3075
46.8%

도로명주소
Text

MISSING 

Distinct337
Distinct (%)96.0%
Missing45
Missing (%)11.4%
Memory size3.2 KiB
2024-04-30T05:06:49.343587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length32.472934
Min length19

Characters and Unicode

Total characters11398
Distinct characters301
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique325 ?
Unique (%)92.6%

Sample

1st row서울특별시 종로구 송월길 147, 302호 (교북동, 동아아파트)
2nd row서울특별시 종로구 수표로 132 (낙원동)
3rd row서울특별시 종로구 종로 373 (숭인동, 삼관빌딩301)
4th row서울특별시 관악구 참숯2길 64 (봉천동)
5th row서울특별시 종로구 종로 121-1 (종로3가)
ValueCountFrequency (%)
서울특별시 327
 
14.8%
종로구 255
 
11.5%
종로 98
 
4.4%
숭인동 37
 
1.7%
창신동 23
 
1.0%
종로5가 23
 
1.0%
3층 23
 
1.0%
4층 20
 
0.9%
경기도 18
 
0.8%
2층 17
 
0.8%
Other values (816) 1371
62.0%
2024-04-30T05:06:49.742513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1861
 
16.3%
로 673
 
5.9%
종 461
 
4.0%
1 441
 
3.9%
시 355
 
3.1%
구 354
 
3.1%
동 354
 
3.1%
, 351
 
3.1%
서 347
 
3.0%
) 347
 
3.0%
Other values (291) 5854
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6358
55.8%
Decimal Number 2024
 
17.8%
Space Separator 1861
 
16.3%
Other Punctuation 351
 
3.1%
Close Punctuation 347
 
3.0%
Open Punctuation 347
 
3.0%
Dash Punctuation 84
 
0.7%
Uppercase Letter 19
 
0.2%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 673
 
10.6%
종 461
 
7.3%
시 355
 
5.6%
구 354
 
5.6%
동 354
 
5.6%
서 347
 
5.5%
울 329
 
5.2%
별 328
 
5.2%
특 327
 
5.1%
호 198
 
3.1%
Other values (262) 2632
41.4%
Decimal Number
ValueCountFrequency (%)
1 441
21.8%
3 313
15.5%
2 293
14.5%
0 266
13.1%
5 184
9.1%
4 169
 
8.3%
6 109
 
5.4%
7 100
 
4.9%
9 78
 
3.9%
8 71
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
36.8%
K 2
 
10.5%
A 2
 
10.5%
S 2
 
10.5%
C 2
 
10.5%
T 1
 
5.3%
M 1
 
5.3%
Y 1
 
5.3%
D 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
b 1
 
14.3%
r 1
 
14.3%
w 1
 
14.3%
o 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1861
100.0%
Other Punctuation
ValueCountFrequency (%)
, 351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 347
100.0%
Open Punctuation
ValueCountFrequency (%)
( 347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6358
55.8%
Common 5014
44.0%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 673
 
10.6%
종 461
 
7.3%
시 355
 
5.6%
구 354
 
5.6%
동 354
 
5.6%
서 347
 
5.5%
울 329
 
5.2%
별 328
 
5.2%
특 327
 
5.1%
호 198
 
3.1%
Other values (262) 2632
41.4%
Common
ValueCountFrequency (%)
1861
37.1%
1 441
 
8.8%
, 351
 
7.0%
) 347
 
6.9%
( 347
 
6.9%
3 313
 
6.2%
2 293
 
5.8%
0 266
 
5.3%
5 184
 
3.7%
4 169
 
3.4%
Other values (5) 442
 
8.8%
Latin
ValueCountFrequency (%)
B 7
26.9%
e 3
11.5%
K 2
 
7.7%
A 2
 
7.7%
S 2
 
7.7%
C 2
 
7.7%
T 1
 
3.8%
M 1
 
3.8%
Y 1
 
3.8%
b 1
 
3.8%
Other values (4) 4
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6358
55.8%
ASCII 5040
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1861
36.9%
1 441
 
8.8%
, 351
 
7.0%
) 347
 
6.9%
( 347
 
6.9%
3 313
 
6.2%
2 293
 
5.8%
0 266
 
5.3%
5 184
 
3.7%
4 169
 
3.4%
Other values (19) 468
 
9.3%
Hangul
ValueCountFrequency (%)
로 673
 
10.6%
종 461
 
7.3%
시 355
 
5.6%
구 354
 
5.6%
동 354
 
5.6%
서 347
 
5.5%
울 329
 
5.2%
별 328
 
5.2%
특 327
 
5.1%
호 198
 
3.1%
Other values (262) 2632
41.4%

도로명우편번호
Text

MISSING 

Distinct94
Distinct (%)51.9%
Missing215
Missing (%)54.3%
Memory size3.2 KiB
2024-04-30T05:06:50.000365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2928177
Min length5

Characters and Unicode

Total characters958
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)32.0%

Sample

1st row03165
2nd row110862
3rd row03195
4th row110836
5th row110835
ValueCountFrequency (%)
03111 7
 
3.9%
03139 7
 
3.9%
03129 6
 
3.3%
03126 6
 
3.3%
03157 5
 
2.8%
03173 5
 
2.8%
03115 5
 
2.8%
03186 4
 
2.2%
03156 4
 
2.2%
03193 4
 
2.2%
Other values (84) 128
70.7%
2024-04-30T05:06:50.354537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 263
27.5%
0 222
23.2%
3 176
18.4%
2 58
 
6.1%
5 50
 
5.2%
8 44
 
4.6%
9 40
 
4.2%
6 36
 
3.8%
4 31
 
3.2%
7 29
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 949
99.1%
Dash Punctuation 9
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 263
27.7%
0 222
23.4%
3 176
18.5%
2 58
 
6.1%
5 50
 
5.3%
8 44
 
4.6%
9 40
 
4.2%
6 36
 
3.8%
4 31
 
3.3%
7 29
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 263
27.5%
0 222
23.2%
3 176
18.4%
2 58
 
6.1%
5 50
 
5.2%
8 44
 
4.6%
9 40
 
4.2%
6 36
 
3.8%
4 31
 
3.2%
7 29
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 263
27.5%
0 222
23.2%
3 176
18.4%
2 58
 
6.1%
5 50
 
5.2%
8 44
 
4.6%
9 40
 
4.2%
6 36
 
3.8%
4 31
 
3.2%
7 29
 
3.0%

사업장명
Text

Distinct356
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-30T05:06:50.545818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length6.6136364
Min length1

Characters and Unicode

Total characters2619
Distinct characters329
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)81.3%

Sample

1st row(주)성심인력개발
2nd row라이온직업소개소
3rd row(주)우성인력정보
4th row낙원직업소개소
5th row(주)동원인력직업소개소
ValueCountFrequency (%)
주식회사 11
 
2.5%
직업소개소 7
 
1.6%
행운 3
 
0.7%
믿음 3
 
0.7%
유한회사 3
 
0.7%
대신 3
 
0.7%
한성 3
 
0.7%
뉴월드 3
 
0.7%
그린 3
 
0.7%
동일 3
 
0.7%
Other values (364) 395
90.4%
2024-04-30T05:06:50.873013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 245
 
9.4%
업 147
 
5.6%
개 132
 
5.0%
직 123
 
4.7%
주 74
 
2.8%
인 63
 
2.4%
) 61
 
2.3%
( 61
 
2.3%
력 46
 
1.8%
사 45
 
1.7%
Other values (319) 1622
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2378
90.8%
Close Punctuation 61
 
2.3%
Open Punctuation 61
 
2.3%
Uppercase Letter 48
 
1.8%
Space Separator 41
 
1.6%
Decimal Number 12
 
0.5%
Lowercase Letter 10
 
0.4%
Dash Punctuation 4
 
0.2%
Other Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 245
 
10.3%
업 147
 
6.2%
개 132
 
5.6%
직 123
 
5.2%
주 74
 
3.1%
인 63
 
2.6%
력 46
 
1.9%
사 45
 
1.9%
스 45
 
1.9%
이 44
 
1.9%
Other values (281) 1414
59.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
14.6%
H 4
 
8.3%
P 4
 
8.3%
I 4
 
8.3%
N 3
 
6.2%
G 3
 
6.2%
S 3
 
6.2%
B 3
 
6.2%
J 3
 
6.2%
O 3
 
6.2%
Other values (8) 11
22.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
n 2
20.0%
g 1
10.0%
i 1
10.0%
t 1
10.0%
l 1
10.0%
u 1
10.0%
s 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
8 3
25.0%
2 3
25.0%
5 2
16.7%
3 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2378
90.8%
Common 183
 
7.0%
Latin 58
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 245
 
10.3%
업 147
 
6.2%
개 132
 
5.6%
직 123
 
5.2%
주 74
 
3.1%
인 63
 
2.6%
력 46
 
1.9%
사 45
 
1.9%
스 45
 
1.9%
이 44
 
1.9%
Other values (281) 1414
59.5%
Latin
ValueCountFrequency (%)
C 7
 
12.1%
H 4
 
6.9%
P 4
 
6.9%
I 4
 
6.9%
N 3
 
5.2%
G 3
 
5.2%
S 3
 
5.2%
B 3
 
5.2%
J 3
 
5.2%
O 3
 
5.2%
Other values (16) 21
36.2%
Common
ValueCountFrequency (%)
) 61
33.3%
( 61
33.3%
41
22.4%
- 4
 
2.2%
1 3
 
1.6%
8 3
 
1.6%
2 3
 
1.6%
5 2
 
1.1%
. 2
 
1.1%
3 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2378
90.8%
ASCII 241
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 245
 
10.3%
업 147
 
6.2%
개 132
 
5.6%
직 123
 
5.2%
주 74
 
3.1%
인 63
 
2.6%
력 46
 
1.9%
사 45
 
1.9%
스 45
 
1.9%
이 44
 
1.9%
Other values (281) 1414
59.5%
ASCII
ValueCountFrequency (%)
) 61
25.3%
( 61
25.3%
41
17.0%
C 7
 
2.9%
- 4
 
1.7%
H 4
 
1.7%
P 4
 
1.7%
I 4
 
1.7%
N 3
 
1.2%
G 3
 
1.2%
Other values (28) 49
20.3%

최종수정일자
Date

UNIQUE 

Distinct396
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2003-03-11 14:48:12
Maximum2024-04-25 09:30:44
2024-04-30T05:06:51.000443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:51.308169image/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 size3.2 KiB
I
261 
U
135 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 261
65.9%
U 135
34.1%

Length

2024-04-30T05:06:51.432755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:51.516000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 261
65.9%
u 135
34.1%

데이터갱신일자
Date

Distinct117
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-04-30T05:06:51.625135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:51.740230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct297
Distinct (%)79.8%
Missing24
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean200550.5
Minimum169813.56
Maximum322861.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-30T05:06:51.865538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169813.56
5-th percentile192272.06
Q1198115.88
median199875.31
Q3201485.12
95-th percentile210288.77
Maximum322861.33
Range153047.77
Interquartile range (IQR)3369.2409

Descriptive statistics

Standard deviation11077.181
Coefficient of variation (CV)0.055233876
Kurtosis69.862689
Mean200550.5
Median Absolute Deviation (MAD)1725.0111
Skewness7.0788019
Sum74604785
Variance1.2270395 × 108
MonotonicityNot monotonic
2024-04-30T05:06:52.012965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198150.300374121 7
 
1.8%
198324.653631679 6
 
1.5%
199074.978234628 4
 
1.0%
197993.904628438 4
 
1.0%
199214.553264925 4
 
1.0%
196079.544115659 4
 
1.0%
197595.161312175 4
 
1.0%
201380.152505008 3
 
0.8%
201949.65163583 3
 
0.8%
197713.264843734 3
 
0.8%
Other values (287) 330
83.3%
(Missing) 24
 
6.1%
ValueCountFrequency (%)
169813.564290524 1
0.3%
172735.573580046 1
0.3%
172915.510712256 1
0.3%
175537.135583858 1
0.3%
183576.680343372 1
0.3%
183683.865091789 1
0.3%
185251.147759048 1
0.3%
185381.482499723 1
0.3%
185795.435055718 1
0.3%
186115.887920435 1
0.3%
ValueCountFrequency (%)
322861.332257289 1
0.3%
299375.284241 1
0.3%
294279.5743187 1
0.3%
228153.99719 1
0.3%
218959.14464025 2
0.5%
218320.362656212 1
0.3%
214051.106419485 2
0.5%
213093.687071785 2
0.5%
212299.931009854 1
0.3%
212264.332782496 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct297
Distinct (%)79.8%
Missing24
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean450618.58
Minimum137408.71
Maximum496723.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-30T05:06:52.137007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137408.71
5-th percentile442386.93
Q1452019.21
median452225.27
Q3452646.61
95-th percentile458236.49
Maximum496723.02
Range359314.31
Interquartile range (IQR)627.40218

Descriptive statistics

Standard deviation18849.774
Coefficient of variation (CV)0.041830886
Kurtosis212.81763
Mean450618.58
Median Absolute Deviation (MAD)262.85724
Skewness-13.436759
Sum1.6763011 × 108
Variance3.55314 × 108
MonotonicityNot monotonic
2024-04-30T05:06:52.272542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452019.212642931 7
 
1.8%
452252.812389497 6
 
1.5%
452034.651483879 4
 
1.0%
452032.958591394 4
 
1.0%
452046.601850459 4
 
1.0%
452655.045595768 4
 
1.0%
452460.054621887 4
 
1.0%
452291.856970378 3
 
0.8%
452677.676438417 3
 
0.8%
451938.037703258 3
 
0.8%
Other values (287) 330
83.3%
(Missing) 24
 
6.1%
ValueCountFrequency (%)
137408.712522059 1
0.3%
318295.202078 1
0.3%
401143.903727016 1
0.3%
406027.052229 1
0.3%
419482.217991185 1
0.3%
426364.411928396 1
0.3%
429055.984128972 1
0.3%
430069.6 1
0.3%
432364.22770391 1
0.3%
432714.355693554 1
0.3%
ValueCountFrequency (%)
496723.021492734 1
0.3%
469025.485353018 1
0.3%
467904.17626781 1
0.3%
467722.323678411 1
0.3%
464777.212694515 1
0.3%
463124.836063341 1
0.3%
462791.126800176 1
0.3%
462450.816787003 1
0.3%
461930.191335537 1
0.3%
461884.701690805 1
0.3%

법인구분명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
개인
226 
<NA>
119 
법인
51 

Length

Max length4
Median length2
Mean length2.6010101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 226
57.1%
<NA> 119
30.1%
법인 51
 
12.9%

Length

2024-04-30T05:06:52.403085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:52.509904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 226
57.1%
na 119
30.1%
법인 51
 
12.9%

구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
유료
277 
<NA>
119 

Length

Max length4
Median length2
Mean length2.6010101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 277
69.9%
<NA> 119
30.1%

Length

2024-04-30T05:06:52.605483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:52.713133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 277
69.9%
na 119
30.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03000000198730000761150000119870907<NA>3폐업40폐업20211123<NA><NA><NA>02 732 8686<NA><NA><NA>서울특별시 종로구 송월길 147, 302호 (교북동, 동아아파트)03165(주)성심인력개발2021-11-25 13:24:44U2021-11-27 02:40:00.0<NA>196578.171451452129.002077법인유료
13000000199130000761150000119910705<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 99번지 1호 16통 3반서울특별시 종로구 수표로 132 (낙원동)<NA>라이온직업소개소2006-11-15 14:34:18I2018-08-31 23:59:59.0<NA>198923.793253452283.017174법인유료
23000000199330000761150000119930510<NA>3폐업40폐업20180517<NA><NA><NA>7430038<NA>110862서울특별시 종로구 숭인1동 72번지 9호 삼관빌딩301호서울특별시 종로구 종로 373 (숭인동, 삼관빌딩301)110862(주)우성인력정보2018-05-17 10:20:08I2018-08-31 23:59:59.0<NA>201595.724307452436.248434법인유료
33000000199430000761150000119940317<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1549번지 31호 21통 10반서울특별시 관악구 참숯2길 64 (봉천동)<NA>낙원직업소개소2006-02-09 18:06:57I2018-08-31 23:59:59.0<NA>194812.14295441561.549188법인유료
43000000199430000761150000219940628<NA>3폐업40폐업20071210<NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로3가 13번지 1호서울특별시 종로구 종로 121-1 (종로3가)<NA>(주)동원인력직업소개소2007-12-10 15:58:11I2018-08-31 23:59:59.0<NA>199135.525226452039.626194법인유료
53000000199630000761150000119960523<NA>3폐업40폐업20080125<NA><NA><NA><NA><NA><NA>경기도 고양시일산구 탄현동 121호 41통 2반 큰마을현대아파트 121 1803<NA><NA>대명직업정보사2008-01-25 17:16:10I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
63000000199630000761150000219960618<NA>1영업/정상20영업중<NA><NA><NA><NA>02 7666540<NA><NA>서울특별시 종로구 종로5가 138-32서울특별시 종로구 동호로 405-1, 3층 (종로5가)03195덕원직업소개소2021-11-04 11:06:28U2021-11-06 02:40:00.0<NA>200076.729962452037.170017개인유료
73000000199630000761150000319960618<NA>3폐업40폐업20080807<NA><NA><NA><NA><NA><NA>경기도 남양주시 오남읍 양지리 267번지 8호 11통 4반<NA><NA>김동선직업소개소2008-09-26 17:21:35I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
83000000199630000761150000419961010<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 74번지 220호 7통 2반서울특별시 성북구 돌곶이로31길 34 (장위동)<NA>협신직업소개소2004-04-30 10:53:31I2018-08-31 23:59:59.0<NA>204559.121965456733.837288개인유료
93000000199630000761150000519961210<NA>3폐업40폐업20100428<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도1동 212번지 6호 18통 6반<NA><NA>문대수직업소개소2010-04-28 16:44:18I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
386300000020233000202145000232023-11-29<NA>1영업/정상20영업중<NA><NA><NA><NA>02 722 4788<NA><NA>서울특별시 종로구 종로1가 24 르메이에르종로타운1서울특별시 종로구 종로 19, 르메이에르종로타운1 A동 2006호 (종로1가)03157유한회사 상은에이치알센터2023-11-29 10:20:38I2022-11-02 00:01:00.0<NA>198150.300374452019.212643<NA><NA>
387300000020233000202145000242023-12-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로1가 24 르메이에르종로타운1서울특별시 종로구 종로 19, 르메이에르종로타운1 B동 623호 (종로1가)03157플레타홀딩스(주)2023-12-04 16:56:43I2022-11-02 00:06:00.0<NA>198150.300374452019.212643<NA><NA>
388300000020233000202145000252023-12-13<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로1가 1 교보생명빌딩서울특별시 종로구 종로 1, 교보생명빌딩 15층 (종로1가)03154덴버컨설팅그룹2023-12-19 09:58:16U2022-11-01 22:01:00.0<NA>197993.904628452032.958591<NA><NA>
389300000020243000245145000012024-01-15<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 청운동 115-1서울특별시 종로구 자하문로 106-3, 1층 (청운동)03047동강이엔씨 주식회사2024-01-15 16:58:34I2023-11-30 23:07:00.0<NA>197324.126448453697.0277<NA><NA>
390300000020243000245145000022024-03-05<NA>1영업/정상20영업중<NA><NA><NA><NA>02 722 1126<NA><NA>서울특별시 종로구 청진동 184-1 삼송빌딩서울특별시 종로구 종로3길 34, 삼송빌딩 3층 302호 (청진동)03156NS행정사 합동사무소2024-03-05 19:01:59I2023-12-03 00:07:00.0<NA>198127.421581452175.453719<NA><NA>
391300000020243000245145000032024-03-05<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 217-1서울특별시 종로구 종로 329-5, 2층 (창신동)03104진흥인력개발2024-03-05 19:03:41I2023-12-03 00:07:00.0<NA>201182.631887452305.726993<NA><NA>
392300000020243000245145000042024-03-05<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 청진동 184-1 삼송빌딩서울특별시 종로구 종로3길 34, 삼송빌딩 3층 302호 (청진동)03156제이비(JB)행정사사무소2024-03-05 19:05:48I2023-12-03 00:07:00.0<NA>198127.421581452175.453719<NA><NA>
393300000020243000245145000052024-03-20<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 청진동 184-1 삼송빌딩서울특별시 종로구 종로3길 34, 삼송빌딩 3층 302호 (청진동)03156종로외국어번역행정사 사무소2024-03-20 09:11:55I2023-12-02 22:02:00.0<NA>198127.421581452175.453719<NA><NA>
394300000020243000245145000062022-04-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 518 0401<NA><NA>서울특별시 종로구 신문로1가 163 광화문오피시아빌딩서울특별시 종로구 새문안로 92, 광화문오피시아빌딩 21층 2114호 (신문로1가)03186마일스톤파트너스주식회사2024-04-24 11:08:25U2023-12-03 22:06:00.0<NA>197713.264844451938.037703<NA><NA>
395300000020243000245145000072015-04-20<NA>1영업/정상20영업중<NA><NA><NA><NA>000237804609<NA><NA>서울특별시 용산구 한남동 28번지 2호서울특별시 용산구 독서당로 85, 8층 (한남동)140-210한독상공회의소디이인터네셔널 유한회사2024-04-25 09:30:44U2023-12-03 22:07:00.0<NA>200801.01735448046.579321<NA><NA>