Overview

Dataset statistics

Number of variables29
Number of observations26
Missing cells246
Missing cells (%)32.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory255.1 B

Variable types

Categorical10
Text5
DateTime2
Numeric4
Unsupported8

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),전문인력총수,자본금,시설장비,타기관이전여부
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19174/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 is highly imbalanced (70.5%)Imbalance
데이터갱신일자 is highly imbalanced (51.0%)Imbalance
인허가취소일자 has 20 (76.9%) missing valuesMissing
폐업일자 has 26 (100.0%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 26 (100.0%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 26 (100.0%) missing valuesMissing
도로명주소 has 6 (23.1%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
좌표정보(X) has 2 (7.7%) missing valuesMissing
좌표정보(Y) has 2 (7.7%) missing valuesMissing
전문인력총수 has 3 (11.5%) missing valuesMissing
시설장비 has 5 (19.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
폐업일자 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
전화번호 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 11:54:08.594920
Analysis finished2024-04-06 11:54:09.153774
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3220000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 26
100.0%

Length

2024-04-06T20:54:09.242033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:09.368132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T20:54:09.650576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters494
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st rowS001101110037740L00
2nd rowS001101110061666L00
3rd rowS001101110329345L00
4th rowS001101110429773L00
5th rowS001101110564446L00
ValueCountFrequency (%)
s001101110037740l00 1
 
3.8%
s001101110061666l00 1
 
3.8%
s001102710012554l00 1
 
3.8%
s001101113929134l00 1
 
3.8%
s001101113141788l00 1
 
3.8%
s001101112761892l00 1
 
3.8%
s001101112074485l00 1
 
3.8%
s001101112037350l00 1
 
3.8%
s001101111974115l00 1
 
3.8%
s001101111917305l00 1
 
3.8%
Other values (16) 16
61.5%
2024-04-06T20:54:10.218958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 165
33.4%
1 149
30.2%
S 26
 
5.3%
L 26
 
5.3%
3 18
 
3.6%
4 17
 
3.4%
8 17
 
3.4%
7 16
 
3.2%
6 16
 
3.2%
2 16
 
3.2%
Other values (2) 28
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
89.5%
Uppercase Letter 52
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 165
37.3%
1 149
33.7%
3 18
 
4.1%
4 17
 
3.8%
8 17
 
3.8%
7 16
 
3.6%
6 16
 
3.6%
2 16
 
3.6%
9 15
 
3.4%
5 13
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
S 26
50.0%
L 26
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 442
89.5%
Latin 52
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 165
37.3%
1 149
33.7%
3 18
 
4.1%
4 17
 
3.8%
8 17
 
3.8%
7 16
 
3.6%
6 16
 
3.6%
2 16
 
3.6%
9 15
 
3.4%
5 13
 
2.9%
Latin
ValueCountFrequency (%)
S 26
50.0%
L 26
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 165
33.4%
1 149
30.2%
S 26
 
5.3%
L 26
 
5.3%
3 18
 
3.6%
4 17
 
3.4%
8 17
 
3.4%
7 16
 
3.2%
6 16
 
3.2%
2 16
 
3.2%
Other values (2) 28
 
5.7%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1997-09-18 00:00:00
Maximum2022-08-26 00:00:00
2024-04-06T20:54:10.419097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:54:10.640190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing20
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean20087098
Minimum20030617
Maximum20180109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T20:54:10.852233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030617
5-th percentile20035493
Q120050272
median20070814
Q320112813
95-th percentile20165111
Maximum20180109
Range149492
Interquartile range (IQR)62541.5

Descriptive statistics

Standard deviation55921.662
Coefficient of variation (CV)0.0027839592
Kurtosis0.17948888
Mean20087098
Median Absolute Deviation (MAD)30445
Skewness0.96378186
Sum1.2052259 × 108
Variance3.1272323 × 109
MonotonicityNot monotonic
2024-04-06T20:54:11.023638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20050120 1
 
3.8%
20050726 1
 
3.8%
20180109 1
 
3.8%
20030617 1
 
3.8%
20090901 1
 
3.8%
20120117 1
 
3.8%
(Missing) 20
76.9%
ValueCountFrequency (%)
20030617 1
3.8%
20050120 1
3.8%
20050726 1
3.8%
20090901 1
3.8%
20120117 1
3.8%
20180109 1
3.8%
ValueCountFrequency (%)
20180109 1
3.8%
20120117 1
3.8%
20090901 1
3.8%
20050726 1
3.8%
20050120 1
3.8%
20030617 1
3.8%

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
20 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
76.9%
3 6
 
23.1%

Length

2024-04-06T20:54:11.261008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:11.731920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
76.9%
3 6
 
23.1%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
20 
폐업
6 

Length

Max length5
Median length5
Mean length4.3076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
76.9%
폐업 6
 
23.1%

Length

2024-04-06T20:54:11.945633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:12.131079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
76.9%
폐업 6
 
23.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
20 
2
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
76.9%
2 6
 
23.1%

Length

2024-04-06T20:54:12.310323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:12.475524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
76.9%
2 6
 
23.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업
20 
취소정지업체
6 

Length

Max length6
Median length2
Mean length2.9230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업
2nd row영업
3rd row취소정지업체
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 20
76.9%
취소정지업체 6
 
23.1%

Length

2024-04-06T20:54:12.695710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:12.871805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 20
76.9%
취소정지업체 6
 
23.1%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지번주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T20:54:13.184803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length24.807692
Min length19

Characters and Unicode

Total characters645
Distinct characters66
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 강남구 대치동 942-1
2nd row서울특별시 강남구 역삼동 832-40번지
3rd row서울특별시 강남구 논현동 97-20번지
4th row서울특별시 강남구 역삼동 839-11번지
5th row서울특별시 강남구 역삼동 641-17번지 한라빌딩 3층
ValueCountFrequency (%)
서울특별시 26
21.5%
강남구 25
20.7%
개포동 5
 
4.1%
삼성동 4
 
3.3%
역삼동 4
 
3.3%
도곡동 3
 
2.5%
논현동 3
 
2.5%
일원동 2
 
1.7%
신사동 2
 
1.7%
554-5번지 2
 
1.7%
Other values (44) 45
37.2%
2024-04-06T20:54:13.780843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
18.1%
1 28
 
4.3%
동 28
 
4.3%
서 27
 
4.2%
울 26
 
4.0%
구 26
 
4.0%
시 26
 
4.0%
별 26
 
4.0%
특 26
 
4.0%
강 25
 
3.9%
Other values (56) 290
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
56.6%
Decimal Number 129
 
20.0%
Space Separator 117
 
18.1%
Dash Punctuation 24
 
3.7%
Uppercase Letter 10
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
7.7%
서 27
 
7.4%
울 26
 
7.1%
구 26
 
7.1%
시 26
 
7.1%
별 26
 
7.1%
특 26
 
7.1%
강 25
 
6.8%
남 25
 
6.8%
번 22
 
6.0%
Other values (36) 108
29.6%
Decimal Number
ValueCountFrequency (%)
1 28
21.7%
2 17
13.2%
4 16
12.4%
3 13
10.1%
5 13
10.1%
0 10
 
7.8%
6 9
 
7.0%
9 8
 
6.2%
7 8
 
6.2%
8 7
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
I 2
20.0%
A 2
20.0%
C 1
10.0%
S 1
10.0%
F 1
10.0%
E 1
10.0%
K 1
10.0%
N 1
10.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
56.6%
Common 270
41.9%
Latin 10
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
7.7%
서 27
 
7.4%
울 26
 
7.1%
구 26
 
7.1%
시 26
 
7.1%
별 26
 
7.1%
특 26
 
7.1%
강 25
 
6.8%
남 25
 
6.8%
번 22
 
6.0%
Other values (36) 108
29.6%
Common
ValueCountFrequency (%)
117
43.3%
1 28
 
10.4%
- 24
 
8.9%
2 17
 
6.3%
4 16
 
5.9%
3 13
 
4.8%
5 13
 
4.8%
0 10
 
3.7%
6 9
 
3.3%
9 8
 
3.0%
Other values (2) 15
 
5.6%
Latin
ValueCountFrequency (%)
I 2
20.0%
A 2
20.0%
C 1
10.0%
S 1
10.0%
F 1
10.0%
E 1
10.0%
K 1
10.0%
N 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
56.6%
ASCII 280
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
41.8%
1 28
 
10.0%
- 24
 
8.6%
2 17
 
6.1%
4 16
 
5.7%
3 13
 
4.6%
5 13
 
4.6%
0 10
 
3.6%
6 9
 
3.2%
9 8
 
2.9%
Other values (10) 25
 
8.9%
Hangul
ValueCountFrequency (%)
동 28
 
7.7%
서 27
 
7.4%
울 26
 
7.1%
구 26
 
7.1%
시 26
 
7.1%
별 26
 
7.1%
특 26
 
7.1%
강 25
 
6.8%
남 25
 
6.8%
번 22
 
6.0%
Other values (36) 108
29.6%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing6
Missing (%)23.1%
Memory size340.0 B
2024-04-06T20:54:14.146094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34.5
Mean length28.95
Min length23

Characters and Unicode

Total characters579
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row서울특별시 강남구 언주로148길 7 (논현동)
2nd row서울특별시 강남구 테헤란로25길 30 (역삼동,한라빌딩 3층)
3rd row서울특별시 강남구 역삼로 113, 오성빌딩 (역삼동)
4th row서울특별시 강남구 개포로 260 (개포동)
5th row서울특별시 강남구 압구정로32길 23 (신사동)
ValueCountFrequency (%)
서울특별시 20
18.0%
강남구 20
18.0%
개포동 4
 
3.6%
도곡동 4
 
3.6%
8 3
 
2.7%
개포로 3
 
2.7%
도곡로8길 2
 
1.8%
영동대로106길 2
 
1.8%
논현동 2
 
1.8%
41 2
 
1.8%
Other values (45) 49
44.1%
2024-04-06T20:54:14.729447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
15.7%
동 24
 
4.1%
서 21
 
3.6%
강 21
 
3.6%
남 21
 
3.6%
구 21
 
3.6%
로 20
 
3.5%
울 20
 
3.5%
) 20
 
3.5%
( 20
 
3.5%
Other values (54) 300
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
59.4%
Space Separator 91
 
15.7%
Decimal Number 89
 
15.4%
Close Punctuation 20
 
3.5%
Open Punctuation 20
 
3.5%
Other Punctuation 15
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
 
7.0%
서 21
 
6.1%
강 21
 
6.1%
남 21
 
6.1%
구 21
 
6.1%
로 20
 
5.8%
울 20
 
5.8%
시 20
 
5.8%
별 20
 
5.8%
특 20
 
5.8%
Other values (41) 136
39.5%
Decimal Number
ValueCountFrequency (%)
1 20
22.5%
2 16
18.0%
3 11
12.4%
8 11
12.4%
0 9
10.1%
6 9
10.1%
4 8
 
9.0%
5 3
 
3.4%
7 2
 
2.2%
Space Separator
ValueCountFrequency (%)
91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
59.4%
Common 235
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
 
7.0%
서 21
 
6.1%
강 21
 
6.1%
남 21
 
6.1%
구 21
 
6.1%
로 20
 
5.8%
울 20
 
5.8%
시 20
 
5.8%
별 20
 
5.8%
특 20
 
5.8%
Other values (41) 136
39.5%
Common
ValueCountFrequency (%)
91
38.7%
) 20
 
8.5%
( 20
 
8.5%
1 20
 
8.5%
2 16
 
6.8%
, 15
 
6.4%
3 11
 
4.7%
8 11
 
4.7%
0 9
 
3.8%
6 9
 
3.8%
Other values (3) 13
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
59.4%
ASCII 235
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
38.7%
) 20
 
8.5%
( 20
 
8.5%
1 20
 
8.5%
2 16
 
6.8%
, 15
 
6.4%
3 11
 
4.7%
8 11
 
4.7%
0 9
 
3.8%
6 9
 
3.8%
Other values (3) 13
 
5.5%
Hangul
ValueCountFrequency (%)
동 24
 
7.0%
서 21
 
6.1%
강 21
 
6.1%
남 21
 
6.1%
구 21
 
6.1%
로 20
 
5.8%
울 20
 
5.8%
시 20
 
5.8%
별 20
 
5.8%
특 20
 
5.8%
Other values (41) 136
39.5%

도로명우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
6242
 
1
6296
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
92.3%
6242 1
 
3.8%
6296 1
 
3.8%

Length

2024-04-06T20:54:14.963941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:15.173107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
6242 1
 
3.8%
6296 1
 
3.8%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T20:54:15.498841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8.5
Mean length7.4230769
Min length5

Characters and Unicode

Total characters193
Distinct characters72
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row㈜도화엔지니어링
2nd row주식회사 유신
3rd row㈜유림지질
4th row(주)동명엔터프라이즈
5th row㈜정림엔지니어링
ValueCountFrequency (%)
㈜도화엔지니어링 1
 
3.7%
국제지하컨설팅 1
 
3.7%
한국지하수지열협회 1
 
3.7%
주)이엔쓰리환경 1
 
3.7%
주)세경지질 1
 
3.7%
중앙컨설턴트(주 1
 
3.7%
주)두인이엔씨 1
 
3.7%
홍우기술산업㈜ 1
 
3.7%
주)한길지오텍 1
 
3.7%
㈜새터기술 1
 
3.7%
Other values (17) 17
63.0%
2024-04-06T20:54:16.078785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 17
 
8.8%
주 12
 
6.2%
㈜ 11
 
5.7%
) 11
 
5.7%
( 10
 
5.2%
엔 8
 
4.1%
이 5
 
2.6%
니 4
 
2.1%
어 4
 
2.1%
링 4
 
2.1%
Other values (62) 107
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
82.9%
Other Symbol 11
 
5.7%
Close Punctuation 11
 
5.7%
Open Punctuation 10
 
5.2%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 17
 
10.6%
주 12
 
7.5%
엔 8
 
5.0%
이 5
 
3.1%
니 4
 
2.5%
어 4
 
2.5%
링 4
 
2.5%
씨 4
 
2.5%
술 4
 
2.5%
기 4
 
2.5%
Other values (58) 94
58.8%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
88.6%
Common 22
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 17
 
9.9%
주 12
 
7.0%
㈜ 11
 
6.4%
엔 8
 
4.7%
이 5
 
2.9%
니 4
 
2.3%
어 4
 
2.3%
링 4
 
2.3%
씨 4
 
2.3%
술 4
 
2.3%
Other values (59) 98
57.3%
Common
ValueCountFrequency (%)
) 11
50.0%
( 10
45.5%
1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
82.9%
ASCII 22
 
11.4%
None 11
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 17
 
10.6%
주 12
 
7.5%
엔 8
 
5.0%
이 5
 
3.1%
니 4
 
2.5%
어 4
 
2.5%
링 4
 
2.5%
씨 4
 
2.5%
술 4
 
2.5%
기 4
 
2.5%
Other values (58) 94
58.8%
None
ValueCountFrequency (%)
㈜ 11
100.0%
ASCII
ValueCountFrequency (%)
) 11
50.0%
( 10
45.5%
1
 
4.5%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2004-10-06 09:26:22
Maximum2023-10-30 14:13:45
2024-04-06T20:54:16.281156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:54:16.473616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
I
20 
U
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 20
76.9%
U 6
 
23.1%

Length

2024-04-06T20:54:16.665528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:16.814431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
76.9%
u 6
 
23.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
2018-08-31 23:59:59.0
20 
2022-11-01 00:01:00.0
 
1
2020-04-15 02:40:00.0
 
1
2019-05-18 02:40:00.0
 
1
2022-12-02 00:05:00.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)23.1%

Sample

1st row2022-11-01 00:01:00.0
2nd row2020-04-15 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2019-05-18 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 20
76.9%
2022-11-01 00:01:00.0 1
 
3.8%
2020-04-15 02:40:00.0 1
 
3.8%
2019-05-18 02:40:00.0 1
 
3.8%
2022-12-02 00:05:00.0 1
 
3.8%
2021-12-07 23:04:00.0 1
 
3.8%
2021-08-26 02:40:00.0 1
 
3.8%

Length

2024-04-06T20:54:17.053486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:17.218425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 20
38.5%
23:59:59.0 20
38.5%
02:40:00.0 3
 
5.8%
2022-11-01 1
 
1.9%
00:01:00.0 1
 
1.9%
2020-04-15 1
 
1.9%
2019-05-18 1
 
1.9%
2022-12-02 1
 
1.9%
00:05:00.0 1
 
1.9%
2021-12-07 1
 
1.9%
Other values (2) 2
 
3.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)91.7%
Missing2
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean204278.47
Minimum202406.05
Maximum208992.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T20:54:17.388587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202406.05
5-th percentile202587.58
Q1203022.69
median203980.1
Q3204578.66
95-th percentile207473.71
Maximum208992.86
Range6586.8128
Interquartile range (IQR)1555.9652

Descriptive statistics

Standard deviation1789.0832
Coefficient of variation (CV)0.0087580602
Kurtosis0.94058953
Mean204278.47
Median Absolute Deviation (MAD)973.57066
Skewness1.2712367
Sum4902683.4
Variance3200818.6
MonotonicityNot monotonic
2024-04-06T20:54:17.562018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
202587.580788273 2
 
7.7%
203041.715702509 2
 
7.7%
207447.761904113 1
 
3.8%
203808.645387966 1
 
3.8%
208992.862909059 1
 
3.8%
203591.134030174 1
 
3.8%
204348.785 1
 
3.8%
204151.555648093 1
 
3.8%
206758.410389697 1
 
3.8%
202406.050086733 1
 
3.8%
Other values (12) 12
46.2%
(Missing) 2
 
7.7%
ValueCountFrequency (%)
202406.050086733 1
3.8%
202587.580788273 2
7.7%
202700.53624861 1
3.8%
202741.379034107 1
3.8%
202974.20721875 1
3.8%
203038.852487965 1
3.8%
203041.715702509 2
7.7%
203054.572596333 1
3.8%
203591.134030174 1
3.8%
203808.645387966 1
3.8%
ValueCountFrequency (%)
208992.862909059 1
3.8%
207478.291904113 1
3.8%
207447.761904113 1
3.8%
206758.410389697 1
3.8%
205621.512445901 1
3.8%
205010.852416074 1
3.8%
204434.591039199 1
3.8%
204354.459390725 1
3.8%
204348.785 1
3.8%
204292.985333746 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)91.7%
Missing2
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean444535.27
Minimum441325.94
Maximum456472.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T20:54:17.739951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441325.94
5-th percentile441622.73
Q1443038.59
median443674.76
Q3445628.06
95-th percentile447108.56
Maximum456472.22
Range15146.276
Interquartile range (IQR)2589.4732

Descriptive statistics

Standard deviation3059.246
Coefficient of variation (CV)0.006881897
Kurtosis9.9406516
Mean444535.27
Median Absolute Deviation (MAD)1326.8549
Skewness2.6854665
Sum10668847
Variance9358985.9
MonotonicityNot monotonic
2024-04-06T20:54:17.917020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
447108.55741274 2
 
7.7%
443080.510187766 2
 
7.7%
443668.500767753 1
 
3.8%
442266.002463997 1
 
3.8%
442912.82755506 1
 
3.8%
445726.743185756 1
 
3.8%
441325.94 1
 
3.8%
441769.083699175 1
 
3.8%
456472.216329929 1
 
3.8%
445595.169244857 1
 
3.8%
Other values (12) 12
46.2%
(Missing) 2
 
7.7%
ValueCountFrequency (%)
441325.94 1
3.8%
441596.908336055 1
3.8%
441769.083699175 1
3.8%
441898.453101816 1
3.8%
442266.002463997 1
3.8%
442912.82755506 1
3.8%
443080.510187766 2
7.7%
443164.563531139 1
3.8%
443413.449624806 1
3.8%
443520.409792698 1
3.8%
ValueCountFrequency (%)
456472.216329929 1
3.8%
447108.55741274 2
7.7%
446489.639220708 1
3.8%
445783.438401745 1
3.8%
445726.743185756 1
3.8%
445595.169244857 1
3.8%
444919.71235521 1
3.8%
444890.968522275 1
3.8%
444887.348385198 1
3.8%
444486.053660069 1
3.8%

전문인력총수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)26.1%
Missing3
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean4.4782609
Minimum3
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T20:54:18.071142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median4
Q35
95-th percentile6.9
Maximum8
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2383848
Coefficient of variation (CV)0.27653252
Kurtosis2.1365349
Mean4.4782609
Median Absolute Deviation (MAD)0
Skewness1.469918
Sum103
Variance1.5335968
MonotonicityNot monotonic
2024-04-06T20:54:18.246708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 13
50.0%
5 3
 
11.5%
3 3
 
11.5%
6 2
 
7.7%
7 1
 
3.8%
8 1
 
3.8%
(Missing) 3
 
11.5%
ValueCountFrequency (%)
3 3
 
11.5%
4 13
50.0%
5 3
 
11.5%
6 2
 
7.7%
7 1
 
3.8%
8 1
 
3.8%
ValueCountFrequency (%)
8 1
 
3.8%
7 1
 
3.8%
6 2
 
7.7%
5 3
 
11.5%
4 13
50.0%
3 3
 
11.5%

자본금
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
23 
<NA>
3 

Length

Max length4
Median length1
Mean length1.3461538
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
88.5%
<NA> 3
 
11.5%

Length

2024-04-06T20:54:18.428571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:18.575084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
88.5%
na 3
 
11.5%

시설장비
Text

MISSING 

Distinct15
Distinct (%)71.4%
Missing5
Missing (%)19.2%
Memory size340.0 B
2024-04-06T20:54:18.836757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length36.761905
Min length15

Characters and Unicode

Total characters772
Distinct characters56
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

Unique14 ?
Unique (%)66.7%

Sample

1st row1. PH WETER 1 대 2. 수위측정기 3. 전도도계
2nd row1. 수온측정기 2. 수위측정기 3. 전기비저항측정기 4. 전기전도도측정기 5. PH측정기
3rd row1. PH METER 1 대 2. 전기전도도계 3. 수위측정기 4. 온도측정기
4th row1. PH meter 1 대 2. 전기전도도계 3. 지하수위측정기 4. 수온측정기
5th row1. Ph meter 1 대 2. 전기전도도계 3. 지하수위측정기 4. 물리검측기
ValueCountFrequency (%)
1 21
14.1%
수위측정기 12
 
8.1%
2 11
 
7.4%
3 11
 
7.4%
대 10
 
6.7%
4 10
 
6.7%
ph 10
 
6.7%
meter 9
 
6.0%
전기전도도계 9
 
6.0%
온도측정기 9
 
6.0%
Other values (27) 37
24.8%
2024-04-06T20:54:19.398746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
16.7%
기 58
 
7.5%
도 52
 
6.7%
측 50
 
6.5%
정 49
 
6.3%
. 48
 
6.2%
전 37
 
4.8%
수 36
 
4.7%
온 22
 
2.8%
1 22
 
2.8%
Other values (46) 269
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
53.9%
Space Separator 129
 
16.7%
Uppercase Letter 80
 
10.4%
Other Punctuation 65
 
8.4%
Decimal Number 61
 
7.9%
Lowercase Letter 11
 
1.4%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 58
13.9%
도 52
12.5%
측 50
12.0%
정 49
11.8%
전 37
8.9%
수 36
8.7%
온 22
 
5.3%
위 21
 
5.0%
비 12
 
2.9%
장 11
 
2.6%
Other values (18) 68
16.3%
Uppercase Letter
ValueCountFrequency (%)
E 19
23.8%
P 15
18.8%
H 14
17.5%
T 9
11.2%
R 8
10.0%
M 7
 
8.8%
D 3
 
3.8%
C 2
 
2.5%
L 1
 
1.2%
K 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 22
36.1%
2 11
18.0%
3 11
18.0%
4 10
16.4%
5 5
 
8.2%
0 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
t 2
18.2%
r 2
18.2%
m 2
18.2%
h 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 48
73.8%
, 17
 
26.2%
Space Separator
ValueCountFrequency (%)
129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
53.9%
Common 265
34.3%
Latin 91
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 58
13.9%
도 52
12.5%
측 50
12.0%
정 49
11.8%
전 37
8.9%
수 36
8.7%
온 22
 
5.3%
위 21
 
5.0%
비 12
 
2.9%
장 11
 
2.6%
Other values (18) 68
16.3%
Latin
ValueCountFrequency (%)
E 19
20.9%
P 15
16.5%
H 14
15.4%
T 9
9.9%
R 8
8.8%
M 7
 
7.7%
e 4
 
4.4%
D 3
 
3.3%
t 2
 
2.2%
C 2
 
2.2%
Other values (6) 8
8.8%
Common
ValueCountFrequency (%)
129
48.7%
. 48
 
18.1%
1 22
 
8.3%
, 17
 
6.4%
2 11
 
4.2%
3 11
 
4.2%
4 10
 
3.8%
5 5
 
1.9%
) 4
 
1.5%
( 4
 
1.5%
Other values (2) 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
53.9%
ASCII 356
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
36.2%
. 48
 
13.5%
1 22
 
6.2%
E 19
 
5.3%
, 17
 
4.8%
P 15
 
4.2%
H 14
 
3.9%
2 11
 
3.1%
3 11
 
3.1%
4 10
 
2.8%
Other values (18) 60
16.9%
Hangul
ValueCountFrequency (%)
기 58
13.9%
도 52
12.5%
측 50
12.0%
정 49
11.8%
전 37
8.9%
수 36
8.7%
온 22
 
5.3%
위 21
 
5.0%
비 12
 
2.9%
장 11
 
2.6%
Other values (18) 68
16.3%

타기관이전여부
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
21 
<NA>
3 
1
 
2

Length

Max length4
Median length1
Mean length1.3461538
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 21
80.8%
<NA> 3
 
11.5%
1 2
 
7.7%

Length

2024-04-06T20:54:19.641869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:54:19.805709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
80.8%
na 3
 
11.5%
1 2
 
7.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
03220000S001101110037740L002011-04-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 942-1<NA><NA>㈜도화엔지니어링2023-10-30 14:13:45U2022-11-01 00:01:00.0<NA>205010.852416444887.348385<NA><NA><NA><NA>
13220000S001101110061666L0020100406<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 832-40번지<NA><NA>주식회사 유신2020-04-13 15:40:58U2020-04-15 02:40:00.0<NA>202741.379034443413.44962540<NA>0
23220000S001101110329345L0019980724200501203폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 97-20번지서울특별시 강남구 언주로148길 7 (논현동)<NA>㈜유림지질2008-03-13 14:54:49I2018-08-31 23:59:59.0<NA>203038.852488446489.639221401. PH WETER 1 대 2. 수위측정기 3. 전도도계1
33220000S001101110429773L0020121029<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 839-11번지<NA><NA>(주)동명엔터프라이즈2019-05-16 18:03:39U2019-05-18 02:40:00.0<NA>202974.207219443164.56353140<NA>0
43220000S001101110564446L0019970930<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 641-17번지 한라빌딩 3층서울특별시 강남구 테헤란로25길 30 (역삼동,한라빌딩 3층)<NA>㈜정림엔지니어링2013-09-02 14:12:35I2018-08-31 23:59:59.0<NA>203054.572596444486.05366601. 수온측정기 2. 수위측정기 3. 전기비저항측정기 4. 전기전도도측정기 5. PH측정기0
53220000S001101110608070L0020000407<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 831-42번지서울특별시 강남구 역삼로 113, 오성빌딩 (역삼동)6242㈜성원지질2018-08-28 18:09:14I2018-08-31 23:59:59.0<NA>202700.536249443520.409793701. PH METER 1 대 2. 전기전도도계 3. 수위측정기 4. 온도측정기0
63220000S001101110632318L0019971015<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 1211번지서울특별시 강남구 개포로 260 (개포동)<NA>한신응용지질㈜2008-03-07 22:20:35I2018-08-31 23:59:59.0<NA>204434.591039441898.453102501. PH meter 1 대 2. 전기전도도계 3. 지하수위측정기 4. 수온측정기0
73220000S001101110656300L0019970918<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 608-1번지서울특별시 강남구 압구정로32길 23 (신사동)<NA>중앙개발㈜2004-10-06 09:26:22I2018-08-31 23:59:59.0<NA>202587.580788447108.557413501. Ph meter 1 대 2. 전기전도도계 3. 지하수위측정기 4. 물리검측기0
83220000S001101110749189L0019990308<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 140-35번지서울특별시 강남구 테헤란로63길 17 (삼성동)<NA>㈜대명엔지니어링2011-10-30 13:11:22I2018-08-31 23:59:59.0<NA>204354.459391444919.712355401. PH METER 1 대 2. 전기전도도계 3. 수위측정기 4. 온도측정기0
93220000S001101110866008L0019980202200507263폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 554-5번지서울특별시 강남구 도곡로8길 8 (도곡동)<NA>㈜가마개발2007-11-07 17:14:56I2018-08-31 23:59:59.0<NA>203041.715703443080.510188601. PH METER 1 대 2. 전기전도도계 3. 수위측정기 4. 온도측정기0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
163220000S001101111849300L0020050713<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 639-3번지 금산빌딩 202호서울특별시 강남구 개포로 662, 202호 (일원동,금산빌딩)<NA>(주)지오이엔지2011-01-04 16:20:56I2018-08-31 23:59:59.0<NA>207447.761904443668.50076840수위측정기, 전기전도도, 수온측정기 PH측정기0
173220000S001101111917305L0020010714<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 162-25번지 동영빌딩 301호서울특별시 강남구 영동대로106길 41, 301호 (삼성동,동영빌딩)<NA>㈜새터기술2013-01-16 15:20:04I2018-08-31 23:59:59.0<NA>205621.512446445783.438402401. PH METER 1 대 2. 전기전도도계 3. 수위측정기 4. 온도측정기0
183220000S001101111974115L0020030512<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 126-7번지서울특별시 강남구 강남대로128길 81 (논현동)<NA>주)한길지오텍2006-11-21 14:26:14I2018-08-31 23:59:59.0<NA>202406.050087445595.16924550지하수위측정기,수소이온농도수온.전기전도도측정장비0
193220000S001101112037350L0020001014<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-77 NIKE FASCIA서울특별시 강남구 영동대로106길 41 (삼성동)<NA>홍우기술산업㈜2022-08-12 11:25:42U2021-12-07 23:04:00.0<NA>206758.41039456472.21633<NA><NA><NA><NA>
203220000S001101112074485L0020170320<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 1231-4번지 오생빌딩 4층서울특별시 강남구 개포로22길 10, 4층 (개포동)<NA>(주)두인이엔씨2017-03-20 14:31:38I2018-08-31 23:59:59.0<NA>204151.555648441769.08369930수소이온농도, 수온, 전기전도도 측정장비 지하수위계0
213220000S001101112761892L0020040825<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 608-1서울특별시 강남구 논현로38길 42, 다명빌딩 4층 (도곡동)6296중앙컨설턴트(주)2021-08-24 10:13:40U2021-08-26 02:40:00.0<NA>202587.580788447108.55741330D-55E(EC측정기, 온도측정기) D-55E(PH측정기, 온도측정기) KL010(수위측정기)0
223220000S001101113141788L0020050518200909013폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 1187-10번지서울특별시 강남구 논현로8길 13 (개포동)<NA>(주)세경지질2009-09-02 14:13:58I2018-08-31 23:59:59.0<NA>204348.785441325.9440지하수위측정장비, 수소이온농도측정장비 전기전도도측정장비0
233220000S001101113929134L0020090526201201173폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 254-24번지 향원빌딩 5층동서울특별시 강남구 선릉로121길 11, 5층동 (논현동,향원빌딩)<NA>(주)이엔쓰리환경2012-01-18 09:54:31I2018-08-31 23:59:59.0<NA>203591.13403445726.74318640지하수수위측정장비,수소이온농도(PH), 수온, 전기전도도측정장비0
243220000S001102710012554L0020101130<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 수서동 714번지 3층서울특별시 강남구 광평로51길 8 (수서동,3층)<NA>한국지하수지열협회2011-07-21 10:39:46I2018-08-31 23:59:59.0<NA>208992.862909442912.82755540수위측정장비,간이수질측정장비1
253220000S001501110082987L0020160706<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 424-1번지 명선빌딩서울특별시 강남구 논현로28길 12, 3층 (도곡동, 명선빌딩)<NA>(주)삼일씨이씨2016-07-06 13:37:02I2018-08-31 23:59:59.0<NA>203808.645388442266.00246430지하수수위측정장비, 수소이온농도, 전기전도도 측정장비0