Overview

Dataset statistics

Number of variables48
Number of observations187
Missing cells5686
Missing cells (%)63.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.8 KiB
Average record size in memory420.7 B

Variable types

Categorical8
Numeric6
DateTime3
Unsupported28
Text3

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),실험실면적,사업장구분명,영업소면적,위탁업체명,실험실지역코드,실험실우편번호,실험실산,실험실번지,실험실호,실험실통,실험실반,실험실특수주소,실험실특수주소동,실험실특수주소호,실험실도로명주소시군구코드,실험실도로명주소읍면동코드,실험실도로명주소읍면동구분,실험실도로명주소코드,실험실도로명특수주소,실험실도로명주소건물층구분,실험실도로명주소건물본번호,실험실도로명주소건물부번호,실험실도로명주소우편번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16130/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 has constant value ""Constant
영업상태코드 is highly imbalanced (95.2%)Imbalance
영업상태명 is highly imbalanced (95.2%)Imbalance
상세영업상태코드 is highly imbalanced (95.2%)Imbalance
상세영업상태명 is highly imbalanced (95.2%)Imbalance
사업장구분명 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 187 (100.0%) missing valuesMissing
폐업일자 has 186 (99.5%) missing valuesMissing
휴업시작일자 has 187 (100.0%) missing valuesMissing
휴업종료일자 has 187 (100.0%) missing valuesMissing
재개업일자 has 187 (100.0%) missing valuesMissing
전화번호 has 48 (25.7%) missing valuesMissing
소재지면적 has 187 (100.0%) missing valuesMissing
소재지우편번호 has 37 (19.8%) missing valuesMissing
지번주소 has 8 (4.3%) missing valuesMissing
도로명주소 has 5 (2.7%) missing valuesMissing
도로명우편번호 has 36 (19.3%) missing valuesMissing
업태구분명 has 187 (100.0%) missing valuesMissing
좌표정보(X) has 65 (34.8%) missing valuesMissing
좌표정보(Y) has 65 (34.8%) missing valuesMissing
실험실면적 has 187 (100.0%) missing valuesMissing
영업소면적 has 187 (100.0%) missing valuesMissing
위탁업체명 has 187 (100.0%) missing valuesMissing
실험실지역코드 has 187 (100.0%) missing valuesMissing
실험실우편번호 has 187 (100.0%) missing valuesMissing
실험실산 has 187 (100.0%) missing valuesMissing
실험실번지 has 187 (100.0%) missing valuesMissing
실험실호 has 187 (100.0%) missing valuesMissing
실험실통 has 187 (100.0%) missing valuesMissing
실험실반 has 187 (100.0%) missing valuesMissing
실험실특수주소 has 187 (100.0%) missing valuesMissing
실험실특수주소동 has 187 (100.0%) missing valuesMissing
실험실특수주소호 has 187 (100.0%) missing valuesMissing
실험실도로명주소시군구코드 has 187 (100.0%) missing valuesMissing
실험실도로명주소읍면동코드 has 187 (100.0%) missing valuesMissing
실험실도로명주소읍면동구분 has 187 (100.0%) missing valuesMissing
실험실도로명주소코드 has 187 (100.0%) missing valuesMissing
실험실도로명특수주소 has 187 (100.0%) missing valuesMissing
실험실도로명주소건물층구분 has 187 (100.0%) missing valuesMissing
실험실도로명주소건물본번호 has 187 (100.0%) missing valuesMissing
실험실도로명주소건물부번호 has 187 (100.0%) missing valuesMissing
실험실도로명주소우편번호 has 187 (100.0%) 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
실험실면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업소면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
위탁업체명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실지역코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실산 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실번지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실통 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소동 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소시군구코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물층구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물본번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:13:37.462070
Analysis finished2024-04-06 10:13:38.809166
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
6110000
187 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6110000
2nd row6110000
3rd row6110000
4th row6110000
5th row6110000

Common Values

ValueCountFrequency (%)
6110000 187
100.0%

Length

2024-04-06T19:13:38.979463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:13:39.389730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6110000 187
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1100002 × 1017
Minimum6.1100002 × 1017
Maximum6.1100002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T19:13:39.596298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.1100002 × 1017
5-th percentile6.1100002 × 1017
Q16.1100002 × 1017
median6.1100002 × 1017
Q36.1100002 × 1017
95-th percentile6.1100002 × 1017
Maximum6.1100002 × 1017
Range1200003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation277277.18
Coefficient of variation (CV)4.538088 × 10-13
Kurtosis5.9051981
Mean6.1100002 × 1017
Median Absolute Deviation (MAD)0
Skewness-2.7225654
Sum3.5765393 × 1018
Variance7.6882636 × 1010
MonotonicityNot monotonic
2024-04-06T19:13:39.862108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611000020202300015 1
 
0.5%
611000020202200039 1
 
0.5%
611000020202200038 1
 
0.5%
611000020202200058 1
 
0.5%
611000020202200118 1
 
0.5%
611000020202200029 1
 
0.5%
611000020202200031 1
 
0.5%
611000020202200032 1
 
0.5%
611000020202200035 1
 
0.5%
611000020202200036 1
 
0.5%
Other values (177) 177
94.7%
ValueCountFrequency (%)
611000020201200002 1
0.5%
611000020201200010 1
0.5%
611000020201200026 1
0.5%
611000020201200030 1
0.5%
611000020201300001 1
0.5%
611000020201300002 1
0.5%
611000020201300003 1
0.5%
611000020201300004 1
0.5%
611000020201300005 1
0.5%
611000020201300006 1
0.5%
ValueCountFrequency (%)
611000020202400005 1
0.5%
611000020202400004 1
0.5%
611000020202400003 1
0.5%
611000020202400002 1
0.5%
611000020202400001 1
0.5%
611000020202300030 1
0.5%
611000020202300029 1
0.5%
611000020202300028 1
0.5%
611000020202300027 1
0.5%
611000020202300026 1
0.5%

인허가일자
Date

Distinct81
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2013-04-12 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T19:13:40.114715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:13:40.391662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1
186 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 186
99.5%
3 1
 
0.5%

Length

2024-04-06T19:13:40.646838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:13:40.822040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 186
99.5%
3 1
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업/정상
186 
폐업
 
1

Length

Max length5
Median length5
Mean length4.9839572
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 186
99.5%
폐업 1
 
0.5%

Length

2024-04-06T19:13:41.423300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:13:41.617754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 186
99.5%
폐업 1
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
N
186 
Q
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
N 186
99.5%
Q 1
 
0.5%

Length

2024-04-06T19:13:41.821002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:13:42.031927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 186
99.5%
q 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
신규
186 
폐업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
신규 186
99.5%
폐업 1
 
0.5%

Length

2024-04-06T19:13:42.223006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:13:42.428275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 186
99.5%
폐업 1
 
0.5%

폐업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing186
Missing (%)99.5%
Memory size1.6 KiB
Minimum2023-03-10 00:00:00
Maximum2023-03-10 00:00:00
2024-04-06T19:13:42.617464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:13:42.846944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)99.3%
Missing48
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean6.3626695 × 108
Minimum23206255
Maximum7.0754355 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T19:13:43.073048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23206255
5-th percentile24770365
Q127533402
median2.2210786 × 108
Q32.6264633 × 108
95-th percentile7.0463615 × 109
Maximum7.0754355 × 109
Range7.0522292 × 109
Interquartile range (IQR)2.3511293 × 108

Descriptive statistics

Standard deviation1.7484282 × 109
Coefficient of variation (CV)2.7479476
Kurtosis9.6248809
Mean6.3626695 × 108
Median Absolute Deviation (MAD)47407680
Skewness3.3699433
Sum8.8441107 × 1010
Variance3.0570013 × 1018
MonotonicityNot monotonic
2024-04-06T19:13:43.359130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
231537700 2
 
1.1%
260523206 1
 
0.5%
27366231 1
 
0.5%
234621554 1
 
0.5%
226263669 1
 
0.5%
264082588 1
 
0.5%
25123282 1
 
0.5%
262031124 1
 
0.5%
269387033 1
 
0.5%
28385311 1
 
0.5%
Other values (128) 128
68.4%
(Missing) 48
 
25.7%
ValueCountFrequency (%)
23206255 1
0.5%
23792378 1
0.5%
24179322 1
0.5%
24220111 1
0.5%
24300026 1
0.5%
24483300 1
0.5%
24638421 1
0.5%
24785025 1
0.5%
24898419 1
0.5%
24999939 1
0.5%
ValueCountFrequency (%)
7075435473 1
0.5%
7071220300 1
0.5%
7070104371 1
0.5%
7052263505 1
0.5%
7046946813 1
0.5%
7046758000 1
0.5%
7046361463 1
0.5%
7046361453 1
0.5%
7043613030 1
0.5%
5050990801 1
0.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)80.0%
Missing37
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean12746.793
Minimum1811
Maximum153803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T19:13:43.643325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1811
5-th percentile4157.05
Q15815.75
median6734.5
Q38380
95-th percentile8593.1
Maximum153803
Range151992
Interquartile range (IQR)2564.25

Descriptive statistics

Standard deviation27846.301
Coefficient of variation (CV)2.1845731
Kurtosis17.679405
Mean12746.793
Median Absolute Deviation (MAD)1641
Skewness4.3803005
Sum1912019
Variance7.7541649 × 108
MonotonicityNot monotonic
2024-04-06T19:13:43.905292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4799 4
 
2.1%
8506 4
 
2.1%
5836 4
 
2.1%
8591 3
 
1.6%
7547 2
 
1.1%
6721 2
 
1.1%
4781 2
 
1.1%
6247 2
 
1.1%
6248 2
 
1.1%
8590 2
 
1.1%
Other values (110) 123
65.8%
(Missing) 37
 
19.8%
ValueCountFrequency (%)
1811 1
0.5%
2751 1
0.5%
2792 1
0.5%
3409 1
0.5%
3636 1
0.5%
3909 1
0.5%
4130 1
0.5%
4144 1
0.5%
4173 1
0.5%
4382 1
0.5%
ValueCountFrequency (%)
153803 1
 
0.5%
152052 1
 
0.5%
138844 1
 
0.5%
137888 1
 
0.5%
135889 1
 
0.5%
121912 2
1.1%
8594 1
 
0.5%
8592 1
 
0.5%
8591 3
1.6%
8590 2
1.1%

지번주소
Text

MISSING 

Distinct176
Distinct (%)98.3%
Missing8
Missing (%)4.3%
Memory size1.6 KiB
2024-04-06T19:13:44.403797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length30.162011
Min length19

Characters and Unicode

Total characters5399
Distinct characters275
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)96.6%

Sample

1st row서울특별시 마포구 동교동 200-15
2nd row서울특별시 강남구 대치동 949-8 세원빌딩
3rd row서울특별시 강남구 도곡동 946-18 명문빌딩 502호
4th row서울특별시 금천구 가산동 429-1 뉴티캐슬
5th row서울특별시 금천구 가산동 60-69 엘리시아 504호
ValueCountFrequency (%)
서울특별시 177
 
18.0%
금천구 30
 
3.0%
가산동 29
 
2.9%
강남구 24
 
2.4%
구로구 18
 
1.8%
영등포구 18
 
1.8%
구로동 17
 
1.7%
서초구 16
 
1.6%
성동구 15
 
1.5%
송파구 14
 
1.4%
Other values (476) 627
63.7%
2024-04-06T19:13:45.174404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
817
 
15.1%
1 226
 
4.2%
서 223
 
4.1%
동 216
 
4.0%
구 214
 
4.0%
시 188
 
3.5%
울 186
 
3.4%
별 178
 
3.3%
특 177
 
3.3%
2 165
 
3.1%
Other values (265) 2809
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3200
59.3%
Decimal Number 1139
 
21.1%
Space Separator 817
 
15.1%
Dash Punctuation 149
 
2.8%
Uppercase Letter 67
 
1.2%
Lowercase Letter 12
 
0.2%
Other Punctuation 7
 
0.1%
Math Symbol 4
 
0.1%
Letter Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 223
 
7.0%
동 216
 
6.8%
구 214
 
6.7%
시 188
 
5.9%
울 186
 
5.8%
별 178
 
5.6%
특 177
 
5.5%
호 97
 
3.0%
가 67
 
2.1%
지 58
 
1.8%
Other values (225) 1596
49.9%
Uppercase Letter
ValueCountFrequency (%)
A 8
11.9%
E 8
11.9%
C 7
10.4%
T 6
9.0%
B 5
 
7.5%
S 5
 
7.5%
I 4
 
6.0%
M 4
 
6.0%
N 4
 
6.0%
V 3
 
4.5%
Other values (8) 13
19.4%
Decimal Number
ValueCountFrequency (%)
1 226
19.8%
2 165
14.5%
0 149
13.1%
4 110
9.7%
3 102
9.0%
5 96
8.4%
6 78
 
6.8%
8 76
 
6.7%
7 69
 
6.1%
9 68
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
t 2
16.7%
c 2
16.7%
n 2
16.7%
r 2
16.7%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
, 3
42.9%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3200
59.3%
Common 2116
39.2%
Latin 83
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 223
 
7.0%
동 216
 
6.8%
구 214
 
6.7%
시 188
 
5.9%
울 186
 
5.8%
별 178
 
5.6%
특 177
 
5.5%
호 97
 
3.0%
가 67
 
2.1%
지 58
 
1.8%
Other values (225) 1596
49.9%
Latin
ValueCountFrequency (%)
A 8
 
9.6%
E 8
 
9.6%
C 7
 
8.4%
T 6
 
7.2%
B 5
 
6.0%
S 5
 
6.0%
I 4
 
4.8%
M 4
 
4.8%
N 4
 
4.8%
e 4
 
4.8%
Other values (14) 28
33.7%
Common
ValueCountFrequency (%)
817
38.6%
1 226
 
10.7%
2 165
 
7.8%
0 149
 
7.0%
- 149
 
7.0%
4 110
 
5.2%
3 102
 
4.8%
5 96
 
4.5%
6 78
 
3.7%
8 76
 
3.6%
Other values (6) 148
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3200
59.3%
ASCII 2195
40.7%
Number Forms 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
817
37.2%
1 226
 
10.3%
2 165
 
7.5%
0 149
 
6.8%
- 149
 
6.8%
4 110
 
5.0%
3 102
 
4.6%
5 96
 
4.4%
6 78
 
3.6%
8 76
 
3.5%
Other values (29) 227
 
10.3%
Hangul
ValueCountFrequency (%)
서 223
 
7.0%
동 216
 
6.8%
구 214
 
6.7%
시 188
 
5.9%
울 186
 
5.8%
별 178
 
5.6%
특 177
 
5.5%
호 97
 
3.0%
가 67
 
2.1%
지 58
 
1.8%
Other values (225) 1596
49.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

도로명주소
Text

MISSING 

Distinct181
Distinct (%)99.5%
Missing5
Missing (%)2.7%
Memory size1.6 KiB
2024-04-06T19:13:45.695933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length37.681319
Min length16

Characters and Unicode

Total characters6858
Distinct characters302
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)98.9%

Sample

1st row서울특별시 마포구 월드컵북로4길 44-7, (동교동,한솔빌딩) 2층 (동교동)
2nd row서울특별시 강남구 영동대로 405, 세원빌딩 3층 (대치동)
3rd row서울특별시 강남구 강남대로54길 7, 명문빌딩 502호 (도곡동)
4th row서울특별시 금천구 가산디지털2로 108, 뉴티캐슬 1108호 (가산동)
5th row서울특별시 금천구 디지털로 173, 엘리시아 5층 504호 (가산동)
ValueCountFrequency (%)
서울특별시 178
 
15.6%
금천구 29
 
2.5%
강남구 25
 
2.2%
영등포구 18
 
1.6%
구로구 17
 
1.5%
서초구 17
 
1.5%
성동구 15
 
1.3%
송파구 13
 
1.1%
가산디지털1로 11
 
1.0%
강서구 11
 
1.0%
Other values (612) 805
70.7%
2024-04-06T19:13:46.485117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
957
 
14.0%
1 260
 
3.8%
서 239
 
3.5%
동 230
 
3.4%
로 216
 
3.1%
구 215
 
3.1%
, 192
 
2.8%
시 190
 
2.8%
울 189
 
2.8%
2 184
 
2.7%
Other values (292) 3986
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4062
59.2%
Decimal Number 1176
 
17.1%
Space Separator 957
 
14.0%
Other Punctuation 196
 
2.9%
Open Punctuation 179
 
2.6%
Close Punctuation 179
 
2.6%
Uppercase Letter 63
 
0.9%
Dash Punctuation 25
 
0.4%
Lowercase Letter 12
 
0.2%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 239
 
5.9%
동 230
 
5.7%
로 216
 
5.3%
구 215
 
5.3%
시 190
 
4.7%
울 189
 
4.7%
별 179
 
4.4%
특 178
 
4.4%
호 121
 
3.0%
가 88
 
2.2%
Other values (251) 2217
54.6%
Uppercase Letter
ValueCountFrequency (%)
A 9
14.3%
E 8
12.7%
B 8
12.7%
T 5
7.9%
S 5
7.9%
C 5
7.9%
N 4
 
6.3%
K 3
 
4.8%
V 3
 
4.8%
I 3
 
4.8%
Other values (7) 10
15.9%
Decimal Number
ValueCountFrequency (%)
1 260
22.1%
2 184
15.6%
0 148
12.6%
3 119
10.1%
4 106
9.0%
5 105
8.9%
6 76
 
6.5%
7 67
 
5.7%
8 58
 
4.9%
9 53
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
c 2
16.7%
t 2
16.7%
r 2
16.7%
n 2
16.7%
Other Punctuation
ValueCountFrequency (%)
, 192
98.0%
. 3
 
1.5%
/ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
957
100.0%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4062
59.2%
Common 2717
39.6%
Latin 79
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 239
 
5.9%
동 230
 
5.7%
로 216
 
5.3%
구 215
 
5.3%
시 190
 
4.7%
울 189
 
4.7%
별 179
 
4.4%
특 178
 
4.4%
호 121
 
3.0%
가 88
 
2.2%
Other values (251) 2217
54.6%
Latin
ValueCountFrequency (%)
A 9
 
11.4%
E 8
 
10.1%
B 8
 
10.1%
T 5
 
6.3%
S 5
 
6.3%
C 5
 
6.3%
e 4
 
5.1%
N 4
 
5.1%
Ⅱ 4
 
5.1%
K 3
 
3.8%
Other values (13) 24
30.4%
Common
ValueCountFrequency (%)
957
35.2%
1 260
 
9.6%
, 192
 
7.1%
2 184
 
6.8%
( 179
 
6.6%
) 179
 
6.6%
0 148
 
5.4%
3 119
 
4.4%
4 106
 
3.9%
5 105
 
3.9%
Other values (8) 288
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4062
59.2%
ASCII 2792
40.7%
Number Forms 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
957
34.3%
1 260
 
9.3%
, 192
 
6.9%
2 184
 
6.6%
( 179
 
6.4%
) 179
 
6.4%
0 148
 
5.3%
3 119
 
4.3%
4 106
 
3.8%
5 105
 
3.8%
Other values (30) 363
 
13.0%
Hangul
ValueCountFrequency (%)
서 239
 
5.9%
동 230
 
5.7%
로 216
 
5.3%
구 215
 
5.3%
시 190
 
4.7%
울 189
 
4.7%
별 179
 
4.4%
특 178
 
4.4%
호 121
 
3.0%
가 88
 
2.2%
Other values (251) 2217
54.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)80.1%
Missing36
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean13427.623
Minimum1811
Maximum156710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T19:13:46.757513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1811
5-th percentile4158.5
Q15822.5
median6744
Q38380.5
95-th percentile65211
Maximum156710
Range154899
Interquartile range (IQR)2558

Descriptive statistics

Standard deviation28951.685
Coefficient of variation (CV)2.1561289
Kurtosis15.021388
Mean13427.623
Median Absolute Deviation (MAD)1632
Skewness4.0721145
Sum2027571
Variance8.3820004 × 108
MonotonicityNot monotonic
2024-04-06T19:13:47.053524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5836 4
 
2.1%
4799 4
 
2.1%
8506 4
 
2.1%
8591 3
 
1.6%
6178 2
 
1.1%
8380 2
 
1.1%
5854 2
 
1.1%
6721 2
 
1.1%
6247 2
 
1.1%
6248 2
 
1.1%
Other values (111) 124
66.3%
(Missing) 36
 
19.3%
ValueCountFrequency (%)
1811 1
0.5%
2751 1
0.5%
2792 1
0.5%
3409 1
0.5%
3636 1
0.5%
3909 1
0.5%
4130 1
0.5%
4144 1
0.5%
4173 1
0.5%
4382 1
0.5%
ValueCountFrequency (%)
156710 1
 
0.5%
143802 1
 
0.5%
137888 2
1.1%
135936 1
 
0.5%
121912 1
 
0.5%
121888 1
 
0.5%
121828 1
 
0.5%
8594 1
 
0.5%
8592 1
 
0.5%
8591 3
1.6%

사업장명
Text

Distinct179
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-06T19:13:47.466909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.631016
Min length5

Characters and Unicode

Total characters1801
Distinct characters227
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)91.4%

Sample

1st row알켐송현(주)
2nd row주식회사 글래스돔코리아
3rd row(주)비욘드알앤아이
4th row가람환경기술(주)
5th row(재)한국산업관계연구원
ValueCountFrequency (%)
주식회사 49
 
20.4%
주)티오이십일 2
 
0.8%
주)어반환경 2
 
0.8%
주)이쓰리 2
 
0.8%
주)예스오알지 2
 
0.8%
주)엔비누스 2
 
0.8%
주)유신 2
 
0.8%
주)이에프컨설팅 2
 
0.8%
주)청룡환경 2
 
0.8%
블루버드환경(주 1
 
0.4%
Other values (174) 174
72.5%
2024-04-06T19:13:48.109153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 179
 
9.9%
( 131
 
7.3%
) 131
 
7.3%
이 65
 
3.6%
사 58
 
3.2%
53
 
2.9%
회 52
 
2.9%
스 51
 
2.8%
식 50
 
2.8%
에 43
 
2.4%
Other values (217) 988
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1478
82.1%
Open Punctuation 131
 
7.3%
Close Punctuation 131
 
7.3%
Space Separator 53
 
2.9%
Decimal Number 4
 
0.2%
Other Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 179
 
12.1%
이 65
 
4.4%
사 58
 
3.9%
회 52
 
3.5%
스 51
 
3.5%
식 50
 
3.4%
에 43
 
2.9%
엔 36
 
2.4%
지 34
 
2.3%
코 30
 
2.0%
Other values (209) 880
59.5%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1480
82.2%
Common 319
 
17.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 179
 
12.1%
이 65
 
4.4%
사 58
 
3.9%
회 52
 
3.5%
스 51
 
3.4%
식 50
 
3.4%
에 43
 
2.9%
엔 36
 
2.4%
지 34
 
2.3%
코 30
 
2.0%
Other values (210) 882
59.6%
Common
ValueCountFrequency (%)
( 131
41.1%
) 131
41.1%
53
16.6%
2 2
 
0.6%
1 2
 
0.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1478
82.1%
ASCII 321
 
17.8%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 179
 
12.1%
이 65
 
4.4%
사 58
 
3.9%
회 52
 
3.5%
스 51
 
3.5%
식 50
 
3.4%
에 43
 
2.9%
엔 36
 
2.4%
지 34
 
2.3%
코 30
 
2.0%
Other values (209) 880
59.5%
ASCII
ValueCountFrequency (%)
( 131
40.8%
) 131
40.8%
53
16.5%
2 2
 
0.6%
1 2
 
0.6%
S 1
 
0.3%
G 1
 
0.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct187
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2013-04-15 09:27:12
Maximum2024-04-04 15:28:45
2024-04-06T19:13:48.338435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:13:48.585854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
U
97 
I
90 

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 (%)
U 97
51.9%
I 90
48.1%

Length

2024-04-06T19:13:48.946672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:13:49.134796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 97
51.9%
i 90
48.1%

데이터갱신일자
Categorical

Distinct46
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2021-10-31 22:00:00.0
21 
2021-10-31 21:00:00.0
19 
2019-03-23 02:20:03.0
17 
2023-12-01 00:09:00.0
14 
2023-11-30 23:00:00.0
14 
Other values (41)
102 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique23 ?
Unique (%)12.3%

Sample

1st row2023-11-30 23:01:00.0
2nd row2023-12-02 23:00:00.0
3rd row2023-12-02 23:00:00.0
4th row2023-12-02 23:00:00.0
5th row2023-12-02 22:01:00.0

Common Values

ValueCountFrequency (%)
2021-10-31 22:00:00.0 21
 
11.2%
2021-10-31 21:00:00.0 19
 
10.2%
2019-03-23 02:20:03.0 17
 
9.1%
2023-12-01 00:09:00.0 14
 
7.5%
2023-11-30 23:00:00.0 14
 
7.5%
2021-10-31 23:08:00.0 11
 
5.9%
2023-11-30 23:01:00.0 10
 
5.3%
2021-11-02 00:07:00.0 9
 
4.8%
2023-12-01 00:08:00.0 7
 
3.7%
2023-11-30 23:03:00.0 6
 
3.2%
Other values (36) 59
31.6%

Length

2024-04-06T19:13:49.335796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-10-31 59
15.8%
2023-11-30 36
 
9.6%
2023-12-01 28
 
7.5%
22:00:00.0 24
 
6.4%
23:00:00.0 20
 
5.3%
21:00:00.0 19
 
5.1%
2019-03-23 17
 
4.5%
02:20:03.0 17
 
4.5%
2021-11-02 15
 
4.0%
00:09:00.0 14
 
3.7%
Other values (32) 125
33.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)91.8%
Missing65
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean197191.13
Minimum184805.68
Maximum211512.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T19:13:49.559502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184805.68
5-th percentile189026.24
Q1189994.65
median195479.09
Q3203850.82
95-th percentile208914.12
Maximum211512.12
Range26706.437
Interquartile range (IQR)13856.173

Descriptive statistics

Standard deviation7363.5011
Coefficient of variation (CV)0.037341948
Kurtosis-1.4762275
Mean197191.13
Median Absolute Deviation (MAD)6148.5282
Skewness0.22654905
Sum24057318
Variance54221148
MonotonicityNot monotonic
2024-04-06T19:13:49.887952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189369.53962474 3
 
1.6%
203235.022100788 2
 
1.1%
201661.152387255 2
 
1.1%
190571.928127507 2
 
1.1%
189121.484597 2
 
1.1%
204522.096092445 2
 
1.1%
209506.54940258 2
 
1.1%
189855.433985731 2
 
1.1%
205638.676388032 2
 
1.1%
187952.560027898 1
 
0.5%
Other values (102) 102
54.5%
(Missing) 65
34.8%
ValueCountFrequency (%)
184805.681473385 1
0.5%
186525.840458962 1
0.5%
187733.160920858 1
0.5%
187831.720345753 1
0.5%
187952.560027898 1
0.5%
188820.806504332 1
0.5%
189021.226992181 1
0.5%
189121.484597 2
1.1%
189282.642165078 1
0.5%
189364.095969911 1
0.5%
ValueCountFrequency (%)
211512.118957571 1
0.5%
211083.239387776 1
0.5%
210857.12769 1
0.5%
209509.155143836 1
0.5%
209506.54940258 2
1.1%
208914.529382215 1
0.5%
208906.361986749 1
0.5%
208105.938904596 1
0.5%
207162.823511753 1
0.5%
207135.958384677 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)91.8%
Missing65
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean445381.27
Minimum440422.09
Maximum455500.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-06T19:13:50.137659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440422.09
5-th percentile441257.69
Q1442291.95
median444365.52
Q3448454.31
95-th percentile452593.6
Maximum455500.57
Range15078.474
Interquartile range (IQR)6162.3663

Descriptive statistics

Standard deviation3787.4834
Coefficient of variation (CV)0.0085039125
Kurtosis-0.17304186
Mean445381.27
Median Absolute Deviation (MAD)2384.6372
Skewness0.86642849
Sum54336515
Variance14345030
MonotonicityNot monotonic
2024-04-06T19:13:50.543693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441629.361414684 3
 
1.6%
443798.310984717 2
 
1.1%
442509.221915339 2
 
1.1%
442598.144798533 2
 
1.1%
442286.322159 2
 
1.1%
448925.421926728 2
 
1.1%
449634.030106178 2
 
1.1%
453614.583448105 2
 
1.1%
449369.788095658 2
 
1.1%
450562.020225978 1
 
0.5%
Other values (102) 102
54.5%
(Missing) 65
34.8%
ValueCountFrequency (%)
440422.094963963 1
0.5%
440521.85524888 1
0.5%
440523.497478209 1
0.5%
440742.223479611 1
0.5%
440963.790624982 1
0.5%
441134.747749945 1
0.5%
441250.271238238 1
0.5%
441398.745565831 1
0.5%
441483.675018356 1
0.5%
441618.071646624 1
0.5%
ValueCountFrequency (%)
455500.568972657 1
0.5%
455417.925754463 1
0.5%
455387.339772059 1
0.5%
454124.228148407 1
0.5%
453614.583448105 2
1.1%
452658.525902179 1
0.5%
451360.105082813 1
0.5%
451299.379284015 1
0.5%
451174.870094459 1
0.5%
450994.213236731 1
0.5%

실험실면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

사업장구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
170 
환경컨설팅회사
 
17

Length

Max length7
Median length4
Mean length4.2727273
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 170
90.9%
환경컨설팅회사 17
 
9.1%

Length

2024-04-06T19:13:50.927323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:13:51.224440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 170
90.9%
환경컨설팅회사 17
 
9.1%

영업소면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실지역코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실산
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실번지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소시군구코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소읍면동코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소읍면동구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소건물층구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소건물본번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소건물부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

실험실도로명주소우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing187
Missing (%)100.0%
Memory size1.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
061100006110000202023000152023-07-13<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 200-15서울특별시 마포구 월드컵북로4길 44-7, (동교동,한솔빌딩) 2층 (동교동)<NA>알켐송현(주)2024-01-09 23:23:43U2023-11-30 23:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
161100006110000202024000012024-03-08<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>6182서울특별시 강남구 대치동 949-8 세원빌딩서울특별시 강남구 영동대로 405, 세원빌딩 3층 (대치동)6182주식회사 글래스돔코리아2024-03-08 17:26:26I2023-12-02 23:00:00.0<NA>205621.38815444802.610808<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
261100006110000202024000032024-03-08<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 946-18 명문빌딩 502호서울특별시 강남구 강남대로54길 7, 명문빌딩 502호 (도곡동)<NA>(주)비욘드알앤아이2024-03-08 17:37:08I2023-12-02 23:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
361100006110000202024000022024-03-08<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>8506서울특별시 금천구 가산동 429-1 뉴티캐슬서울특별시 금천구 가산디지털2로 108, 뉴티캐슬 1108호 (가산동)8506가람환경기술(주)2024-03-08 17:32:54I2023-12-02 23:00:00.0<NA>189364.09597441746.98153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
461100006110000202024000042024-03-19<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-69 엘리시아 504호서울특별시 금천구 디지털로 173, 엘리시아 5층 504호 (가산동)<NA>(재)한국산업관계연구원2024-03-19 16:24:17I2023-12-02 22:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
561100006110000202023000092024-03-21<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로2가 185-10 중국건설은행타워서울특별시 중구 명동11길 24, 중국건설은행타워 9층 (을지로2가)<NA>(주)대신경제연구소2024-03-21 17:42:39U2023-12-02 22:03:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
661100006110000202024000052024-03-22<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 759번지 마곡센트럴타워Ⅱ 702호서울특별시 강서구 마곡서로 158, 마곡센트럴타워Ⅱ 702호 (마곡동)<NA>(주)캠메이븐2024-03-22 16:20:52I2023-12-02 22:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
761100006110000202023000242023-12-13<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동7가 63-18서울특별시 영등포구 국회대로 632, 1109호 (영등포동7가)<NA>환경안전솔루션 주식회사2024-01-11 21:44:27U2023-11-30 23:03:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
861100006110000202022000742023-05-02<NA>1영업/정상N신규<NA><NA><NA><NA>263351170<NA>8501서울특별시 금천구 가산동 481-10 벽산/경인디지털밸리2 703호서울특별시 금천구 가산디지털2로 184, 벽산/경인디지털밸리2 703호(가산동)8501(주)시원기업2023-05-02 09:27:46U2022-12-05 00:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
961100006110000202022001162024-02-02<NA>1영업/정상N신규<NA><NA><NA><NA>28382050<NA>5019서울특별시 광진구 화양동 48-5 선일빌딩서울특별시 광진구 아차산로 207, 선일빌딩 204호 (화양동)5019한국탄소중립평가(주)2024-02-02 10:08:54U2023-12-02 00:04:00.0<NA>205829.430083448812.537227<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
177611000061100002020220012820221129<NA>1영업/정상N신규<NA><NA><NA><NA>5050990801<NA>6173서울특별시 강남구 삼성동 170-11 칠성빌딩 502호서울특별시 강남구 테헤란로113길 13, 칠성빌딩 502호(삼성동)6173(주)엔디렉션2022-12-02 18:03:12U2021-11-02 00:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17861100006110000202022000022024-03-14<NA>1영업/정상N신규<NA><NA><NA><NA>261246600<NA>8390서울특별시 구로구 구로동 222-3 제이앤케이디지털타워 1505호서울특별시 구로구 디지털로26길 111, 제이앤케이디지털타워 1505호(구로동)8390(주)대지티아이에이2024-03-14 15:53:48U2023-12-02 23:06:00.0<NA>190822.851419442253.132896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17961100006110000202022001252024-03-21<NA>1영업/정상N신규<NA><NA><NA><NA>7075435473<NA>4614서울특별시 중구 광희동2가 266번지 성우빌딩서울특별시 중구 퇴계로 324, 성우빌딩 12층 (광희동2가)4614(주)리저브카본2024-03-21 17:52:44U2023-12-02 22:03:00.0<NA>200612.848675451299.379284<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
180611000061100002020220011520221129<NA>1영업/정상N신규<NA><NA><NA><NA>24638421<NA>4778서울특별시 성동구 성수동1가 656-402서울특별시 성동구 왕십리로10길 9-14, 3층(성수동1가)4778해림기술단(주)2022-12-05 10:10:19U2021-11-02 00:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18161100006110000202022001292024-04-04<NA>1영업/정상N신규<NA><NA><NA><NA>262654965<NA>7326서울특별시 영등포구 여의도동 23번지 서울국제금융센터 4240호서울특별시 영등포구 국제금융로 10, 서울국제금융센터 4240호(여의도동)7326주식회사 후즈굿2024-04-04 15:28:45U2023-12-04 00:06:00.0<NA>193326.931019446973.91457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
182611000061100002020220012120221129<NA>1영업/정상N신규<NA><NA><NA><NA>232750953<NA>8041서울특별시 양천구 신월동 994-2 405-1호서울특별시 양천구 신월로 133, 4층 405-1호(신월동)8041(주)그린앤비즈니스2022-12-05 09:54:36U2021-11-02 00:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183611000061100002020220012320221129<NA>1영업/정상N신규<NA><NA><NA><NA>27856070<NA>7235서울특별시 영등포구 여의도동 18-3 한국보이스카우트연맹회관 504호서울특별시 영등포구 국회대로62길 14, 한국보이스카우트연맹회관 504호(여의도동)7235(사)한국응용통계연구원2022-12-05 09:51:33U2021-11-02 00:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
184611000061100002020220012620221129<NA>1영업/정상N신규<NA><NA><NA><NA>232152700<NA>7237서울특별시 영등포구 여의도동 15-23 한국평가데이터서울특별시 영등포구 의사당대로 21, 한국평가데이터(여의도동)7237한국평가데이터(주)2022-12-05 09:33:27U2021-11-02 00:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18561100006110000202022001322023-09-04<NA>1영업/정상N신규<NA><NA><NA><NA>221486880<NA>5836서울특별시 송파구 문정동 644번지 문정현대지식산업센터1-1 713호서울특별시 송파구 법원로11길 11, 문정현대지식산업센터1-1 713호(문정동)5836(주)오에스엘이엔에스2024-01-08 14:38:19U2023-11-30 23:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18661100006110000202022001202023-05-02<NA>1영업/정상N신규<NA><NA><NA><NA>24999939<NA>4781서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워 505호서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 505호(성수동2가)4781(주)시너젠2024-01-08 14:21:06U2023-11-30 23:00:00.0<NA>204522.096092448925.421927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>