Overview

Dataset statistics

Number of variables32
Number of observations57
Missing cells454
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.2 KiB
Average record size in memory273.3 B

Variable types

Numeric6
Categorical12
DateTime3
Unsupported6
Text5

Dataset

Description23년05월_6270000_대구광역시_09_28_13_P_전력기술설계업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098196&dataSetDetailId=DDI_0000098251&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
인허가취소일자 has 57 (100.0%) missing valuesMissing
폐업일자 has 46 (80.7%) missing valuesMissing
휴업시작일자 has 57 (100.0%) missing valuesMissing
휴업종료일자 has 57 (100.0%) missing valuesMissing
재개업일자 has 57 (100.0%) missing valuesMissing
소재지전화 has 3 (5.3%) missing valuesMissing
소재지면적 has 57 (100.0%) missing valuesMissing
소재지우편번호 has 7 (12.3%) missing valuesMissing
소재지전체주소 has 5 (8.8%) missing valuesMissing
도로명전체주소 has 16 (28.1%) missing valuesMissing
도로명우편번호 has 16 (28.1%) missing valuesMissing
업태구분명 has 57 (100.0%) missing valuesMissing
좌표정보(X) has 9 (15.8%) missing valuesMissing
좌표정보(Y) has 9 (15.8%) missing valuesMissing
실질자본금 has 1 (1.8%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
실질자본금 has 29 (50.9%) zerosZeros

Reproduction

Analysis started2024-04-18 03:37:20.375735
Analysis finished2024-04-18 03:37:20.796040
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-18T12:37:20.860954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2024-04-18T12:37:20.997275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
전력기술설계업체
57 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전력기술설계업체 57
100.0%

Length

2024-04-18T12:37:21.134084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:21.222982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전력기술설계업체 57
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
09_28_13_P
57 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_13_P
2nd row09_28_13_P
3rd row09_28_13_P
4th row09_28_13_P
5th row09_28_13_P

Common Values

ValueCountFrequency (%)
09_28_13_P 57
100.0%

Length

2024-04-18T12:37:21.317891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:21.412736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_13_p 57
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
6270000
57 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 57
100.0%

Length

2024-04-18T12:37:21.510339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:21.599336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 57
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0094866 × 1017
Minimum1.997627 × 1017
Maximum2.023627 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-18T12:37:21.710121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.997627 × 1017
5-th percentile1.997627 × 1017
Q12.003627 × 1017
median2.009627 × 1017
Q32.017627 × 1017
95-th percentile2.021627 × 1017
Maximum2.023627 × 1017
Range2.6 × 1015
Interquartile range (IQR)1.4 × 1015

Descriptive statistics

Standard deviation8.014359 × 1014
Coefficient of variation (CV)0.0039882619
Kurtosis-1.1457274
Mean2.0094866 × 1017
Median Absolute Deviation (MAD)7 × 1014
Skewness0.08177658
Sum-6.9926702 × 1018
Variance6.422995 × 1029
MonotonicityNot monotonic
2024-04-18T12:37:21.847864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199762700008500006 1
 
1.8%
202362700008500001 1
 
1.8%
201262700008500001 1
 
1.8%
201262700008500002 1
 
1.8%
201262700008500003 1
 
1.8%
201262700008500005 1
 
1.8%
201762700008500001 1
 
1.8%
201762700008500002 1
 
1.8%
201862700008500001 1
 
1.8%
202162700008500004 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
199762700008500001 1
1.8%
199762700008500002 1
1.8%
199762700008500003 1
1.8%
199762700008500004 1
1.8%
199762700008500005 1
1.8%
199762700008500006 1
1.8%
199862700008500001 1
1.8%
199862700008500002 1
1.8%
199862700008500003 1
1.8%
199962700008500001 1
1.8%
ValueCountFrequency (%)
202362700008500001 1
1.8%
202162700008500004 1
1.8%
202162700008500003 1
1.8%
202162700008500002 1
1.8%
202162700008500001 1
1.8%
202062700008500004 1
1.8%
202062700008500003 1
1.8%
202062700008500002 1
1.8%
202062700008500001 1
1.8%
201962700008500001 1
1.8%

인허가일자
Date

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum1997-02-21 00:00:00
Maximum2023-02-01 00:00:00
2024-04-18T12:37:21.980354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T12:37:22.103912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
1
45 
3
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
78.9%
3 12
 
21.1%

Length

2024-04-18T12:37:22.262651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:22.354836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
78.9%
3 12
 
21.1%

영업상태명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업/정상
45 
폐업
12 

Length

Max length5
Median length5
Mean length4.3684211
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 45
78.9%
폐업 12
 
21.1%

Length

2024-04-18T12:37:22.462501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:22.563999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 45
78.9%
폐업 12
 
21.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
1
45 
3
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
78.9%
3 12
 
21.1%

Length

2024-04-18T12:37:22.662309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:22.761030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
78.9%
3 12
 
21.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
인허가
45 
폐업
12 

Length

Max length3
Median length3
Mean length2.7894737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 45
78.9%
폐업 12
 
21.1%

Length

2024-04-18T12:37:22.879983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:22.971187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 45
78.9%
폐업 12
 
21.1%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing46
Missing (%)80.7%
Memory size588.0 B
Minimum2007-01-12 00:00:00
Maximum2019-02-07 00:00:00
2024-04-18T12:37:23.055573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T12:37:23.187427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing3
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean6.5647733 × 108
Minimum5.3211335 × 108
Maximum7.04793 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-18T12:37:23.336192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3211335 × 108
5-th percentile5.3215524 × 108
Q15.342538 × 108
median5.3633496 × 108
Q35.3748635 × 108
95-th percentile5.3837107 × 108
Maximum7.04793 × 109
Range6.5158167 × 109
Interquartile range (IQR)3232550

Descriptive statistics

Standard deviation8.8617955 × 108
Coefficient of variation (CV)1.3499012
Kurtosis53.999403
Mean6.5647733 × 108
Median Absolute Deviation (MAD)1272568.5
Skewness7.3484094
Sum3.5449776 × 1010
Variance7.853142 × 1017
MonotonicityNot monotonic
2024-04-18T12:37:23.473984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
537809000 3
 
5.3%
536287200 2
 
3.5%
532144343 2
 
3.5%
537687097 2
 
3.5%
535253344 1
 
1.8%
537457555 1
 
1.8%
533812220 1
 
1.8%
536244868 1
 
1.8%
537410109 1
 
1.8%
532534412 1
 
1.8%
Other values (39) 39
68.4%
(Missing) 3
 
5.3%
ValueCountFrequency (%)
532113354 1
1.8%
532144343 2
3.5%
532161110 1
1.8%
532181966 1
1.8%
532534412 1
1.8%
532541720 1
1.8%
532873707 1
1.8%
533118415 1
1.8%
533812220 1
1.8%
534221343 1
1.8%
ValueCountFrequency (%)
7047930038 1
 
1.8%
539565747 1
 
1.8%
539414916 1
 
1.8%
537809000 3
5.3%
537687097 2
3.5%
537616167 1
 
1.8%
537598881 1
 
1.8%
537565577 1
 
1.8%
537539727 1
 
1.8%
537511888 1
 
1.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

소재지우편번호
Text

MISSING 

Distinct44
Distinct (%)88.0%
Missing7
Missing (%)12.3%
Memory size588.0 B
2024-04-18T12:37:23.687297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.92
Min length5

Characters and Unicode

Total characters296
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

Unique38 ?
Unique (%)76.0%

Sample

1st row41256
2nd row41586
3rd row42471
4th row41474
5th row41474
ValueCountFrequency (%)
42132 2
 
4.0%
700-423 2
 
4.0%
42471 2
 
4.0%
41474 2
 
4.0%
41256 2
 
4.0%
42812 2
 
4.0%
41476 1
 
2.0%
701-812 1
 
2.0%
42410 1
 
2.0%
701-843 1
 
2.0%
Other values (34) 34
68.0%
2024-04-18T12:37:24.043788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 56
18.9%
0 50
16.9%
2 40
13.5%
7 36
12.2%
1 32
10.8%
- 23
7.8%
8 15
 
5.1%
6 15
 
5.1%
3 13
 
4.4%
5 10
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 273
92.2%
Dash Punctuation 23
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 56
20.5%
0 50
18.3%
2 40
14.7%
7 36
13.2%
1 32
11.7%
8 15
 
5.5%
6 15
 
5.5%
3 13
 
4.8%
5 10
 
3.7%
9 6
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 56
18.9%
0 50
16.9%
2 40
13.5%
7 36
12.2%
1 32
10.8%
- 23
7.8%
8 15
 
5.1%
6 15
 
5.1%
3 13
 
4.4%
5 10
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 56
18.9%
0 50
16.9%
2 40
13.5%
7 36
12.2%
1 32
10.8%
- 23
7.8%
8 15
 
5.1%
6 15
 
5.1%
3 13
 
4.4%
5 10
 
3.4%

소재지전체주소
Text

MISSING 

Distinct48
Distinct (%)92.3%
Missing5
Missing (%)8.8%
Memory size588.0 B
2024-04-18T12:37:24.328733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length23.980769
Min length18

Characters and Unicode

Total characters1247
Distinct characters111
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)84.6%

Sample

1st row대구광역시 동구 신천동 89-6 대구무역회관,16층
2nd row대구광역시 북구 칠성동2가 127번지 성광우방타운 107동 406호
3rd row대구광역시 남구 대명동 3055-7
4th row대구광역시 북구 서변동 1729-5
5th row대구광역시 북구 서변동 1729-5
ValueCountFrequency (%)
대구광역시 46
 
18.4%
수성구 14
 
5.6%
달서구 9
 
3.6%
중구 8
 
3.2%
동구 7
 
2.8%
북구 7
 
2.8%
남구 7
 
2.8%
대구 6
 
2.4%
대명동 5
 
2.0%
서변동 4
 
1.6%
Other values (114) 137
54.8%
2024-04-18T12:37:24.747199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
20.4%
구 105
 
8.4%
동 66
 
5.3%
대 61
 
4.9%
1 50
 
4.0%
광 47
 
3.8%
역 47
 
3.8%
시 46
 
3.7%
2 37
 
3.0%
3 33
 
2.6%
Other values (101) 501
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 698
56.0%
Decimal Number 268
 
21.5%
Space Separator 254
 
20.4%
Dash Punctuation 24
 
1.9%
Other Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 105
15.0%
동 66
 
9.5%
대 61
 
8.7%
광 47
 
6.7%
역 47
 
6.7%
시 46
 
6.6%
지 29
 
4.2%
번 27
 
3.9%
호 22
 
3.2%
성 21
 
3.0%
Other values (87) 227
32.5%
Decimal Number
ValueCountFrequency (%)
1 50
18.7%
2 37
13.8%
3 33
12.3%
7 27
10.1%
8 26
9.7%
5 22
8.2%
4 20
 
7.5%
6 19
 
7.1%
9 17
 
6.3%
0 17
 
6.3%
Space Separator
ValueCountFrequency (%)
254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 698
56.0%
Common 548
43.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 105
15.0%
동 66
 
9.5%
대 61
 
8.7%
광 47
 
6.7%
역 47
 
6.7%
시 46
 
6.6%
지 29
 
4.2%
번 27
 
3.9%
호 22
 
3.2%
성 21
 
3.0%
Other values (87) 227
32.5%
Common
ValueCountFrequency (%)
254
46.4%
1 50
 
9.1%
2 37
 
6.8%
3 33
 
6.0%
7 27
 
4.9%
8 26
 
4.7%
- 24
 
4.4%
5 22
 
4.0%
4 20
 
3.6%
6 19
 
3.5%
Other values (3) 36
 
6.6%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 698
56.0%
ASCII 549
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
46.3%
1 50
 
9.1%
2 37
 
6.7%
3 33
 
6.0%
7 27
 
4.9%
8 26
 
4.7%
- 24
 
4.4%
5 22
 
4.0%
4 20
 
3.6%
6 19
 
3.5%
Other values (4) 37
 
6.7%
Hangul
ValueCountFrequency (%)
구 105
15.0%
동 66
 
9.5%
대 61
 
8.7%
광 47
 
6.7%
역 47
 
6.7%
시 46
 
6.6%
지 29
 
4.2%
번 27
 
3.9%
호 22
 
3.2%
성 21
 
3.0%
Other values (87) 227
32.5%

도로명전체주소
Text

MISSING 

Distinct39
Distinct (%)95.1%
Missing16
Missing (%)28.1%
Memory size588.0 B
2024-04-18T12:37:25.051390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length29.02439
Min length21

Characters and Unicode

Total characters1190
Distinct characters130
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)90.2%

Sample

1st row대구광역시 동구 동대구로 489, 대구무역회관 16층 (신천동)
2nd row대구광역시 북구 칠곡중앙대로128길 9 (읍내동)
3rd row대구광역시 북구 호암로 20, 107동 406호(칠성동2가, 성광우방타운)
4th row대구광역시 남구 성당로 74-2, 5층(대명동)
5th row대구광역시 북구 호국로57길 31-12, 3층 302호 (서변동)
ValueCountFrequency (%)
대구광역시 41
 
17.7%
수성구 12
 
5.2%
달서구 8
 
3.5%
북구 7
 
3.0%
동구 5
 
2.2%
남구 5
 
2.2%
신천동 4
 
1.7%
3층 4
 
1.7%
중구 3
 
1.3%
동대구로 3
 
1.3%
Other values (116) 139
60.2%
2024-04-18T12:37:25.483889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
16.0%
구 87
 
7.3%
동 58
 
4.9%
대 57
 
4.8%
광 42
 
3.5%
역 42
 
3.5%
시 42
 
3.5%
로 40
 
3.4%
) 40
 
3.4%
1 40
 
3.4%
Other values (120) 552
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
57.3%
Decimal Number 200
 
16.8%
Space Separator 190
 
16.0%
Close Punctuation 40
 
3.4%
Open Punctuation 40
 
3.4%
Other Punctuation 25
 
2.1%
Dash Punctuation 12
 
1.0%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 87
 
12.8%
동 58
 
8.5%
대 57
 
8.4%
광 42
 
6.2%
역 42
 
6.2%
시 42
 
6.2%
로 40
 
5.9%
성 25
 
3.7%
길 20
 
2.9%
층 17
 
2.5%
Other values (104) 252
37.0%
Decimal Number
ValueCountFrequency (%)
1 40
20.0%
2 32
16.0%
3 27
13.5%
5 22
11.0%
7 16
 
8.0%
0 15
 
7.5%
6 14
 
7.0%
4 12
 
6.0%
8 12
 
6.0%
9 10
 
5.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
57.3%
Common 507
42.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 87
 
12.8%
동 58
 
8.5%
대 57
 
8.4%
광 42
 
6.2%
역 42
 
6.2%
시 42
 
6.2%
로 40
 
5.9%
성 25
 
3.7%
길 20
 
2.9%
층 17
 
2.5%
Other values (104) 252
37.0%
Common
ValueCountFrequency (%)
190
37.5%
) 40
 
7.9%
1 40
 
7.9%
( 40
 
7.9%
2 32
 
6.3%
3 27
 
5.3%
, 25
 
4.9%
5 22
 
4.3%
7 16
 
3.2%
0 15
 
3.0%
Other values (5) 60
 
11.8%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
57.3%
ASCII 508
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
37.4%
) 40
 
7.9%
1 40
 
7.9%
( 40
 
7.9%
2 32
 
6.3%
3 27
 
5.3%
, 25
 
4.9%
5 22
 
4.3%
7 16
 
3.1%
0 15
 
3.0%
Other values (6) 61
 
12.0%
Hangul
ValueCountFrequency (%)
구 87
 
12.8%
동 58
 
8.5%
대 57
 
8.4%
광 42
 
6.2%
역 42
 
6.2%
시 42
 
6.2%
로 40
 
5.9%
성 25
 
3.7%
길 20
 
2.9%
층 17
 
2.5%
Other values (104) 252
37.0%

도로명우편번호
Text

MISSING 

Distinct36
Distinct (%)87.8%
Missing16
Missing (%)28.1%
Memory size588.0 B
2024-04-18T12:37:25.690908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5853659
Min length5

Characters and Unicode

Total characters229
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

Unique31 ?
Unique (%)75.6%

Sample

1st row41256
2nd row702-847
3rd row41586
4th row42471
5th row41474
ValueCountFrequency (%)
42812 2
 
4.9%
41256 2
 
4.9%
42471 2
 
4.9%
41474 2
 
4.9%
42132 2
 
4.9%
41904 1
 
2.4%
702-845 1
 
2.4%
706-807 1
 
2.4%
702-828 1
 
2.4%
42250 1
 
2.4%
Other values (26) 26
63.4%
2024-04-18T12:37:26.106969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 52
22.7%
2 39
17.0%
0 30
13.1%
1 25
10.9%
7 23
10.0%
8 16
 
7.0%
6 13
 
5.7%
- 12
 
5.2%
5 9
 
3.9%
3 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 217
94.8%
Dash Punctuation 12
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 52
24.0%
2 39
18.0%
0 30
13.8%
1 25
11.5%
7 23
10.6%
8 16
 
7.4%
6 13
 
6.0%
5 9
 
4.1%
3 6
 
2.8%
9 4
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 52
22.7%
2 39
17.0%
0 30
13.1%
1 25
10.9%
7 23
10.0%
8 16
 
7.0%
6 13
 
5.7%
- 12
 
5.2%
5 9
 
3.9%
3 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 52
22.7%
2 39
17.0%
0 30
13.1%
1 25
10.9%
7 23
10.0%
8 16
 
7.0%
6 13
 
5.7%
- 12
 
5.2%
5 9
 
3.9%
3 6
 
2.6%

사업장명
Text

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-04-18T12:37:26.331634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.0701754
Min length2

Characters and Unicode

Total characters517
Distinct characters101
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)96.5%

Sample

1st row(주)동우이앤씨
2nd row(주)세명전기
3rd row(주)주원이엔즈
4th row주식회사경도기술단
5th row주식회사 성민이엔지(삭제할것-중복)
ValueCountFrequency (%)
주식회사 8
 
12.3%
주)이명이앤씨건축사사무소 2
 
3.1%
유앤아이기술 1
 
1.5%
주)위너엔지니어링 1
 
1.5%
주)전진이엔지 1
 
1.5%
주)도현엔지니어링기술사사무소 1
 
1.5%
대진엔지니어링 1
 
1.5%
주)수창이앤씨건축사사무소 1
 
1.5%
주)새빛엔지니어링 1
 
1.5%
나우전기 1
 
1.5%
Other values (47) 47
72.3%
2024-04-18T12:37:26.685810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 46
 
8.9%
( 37
 
7.2%
) 37
 
7.2%
사 24
 
4.6%
엔 23
 
4.4%
이 21
 
4.1%
지 21
 
4.1%
기 18
 
3.5%
링 13
 
2.5%
어 13
 
2.5%
Other values (91) 264
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
81.8%
Open Punctuation 37
 
7.2%
Close Punctuation 37
 
7.2%
Uppercase Letter 9
 
1.7%
Space Separator 8
 
1.5%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 46
 
10.9%
사 24
 
5.7%
엔 23
 
5.4%
이 21
 
5.0%
지 21
 
5.0%
기 18
 
4.3%
링 13
 
3.1%
어 13
 
3.1%
니 13
 
3.1%
씨 11
 
2.6%
Other values (81) 220
52.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
33.3%
C 2
22.2%
N 2
22.2%
M 1
 
11.1%
G 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
81.8%
Common 85
 
16.4%
Latin 9
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 46
 
10.9%
사 24
 
5.7%
엔 23
 
5.4%
이 21
 
5.0%
지 21
 
5.0%
기 18
 
4.3%
링 13
 
3.1%
어 13
 
3.1%
니 13
 
3.1%
씨 11
 
2.6%
Other values (81) 220
52.0%
Common
ValueCountFrequency (%)
( 37
43.5%
) 37
43.5%
8
 
9.4%
. 2
 
2.4%
- 1
 
1.2%
Latin
ValueCountFrequency (%)
E 3
33.3%
C 2
22.2%
N 2
22.2%
M 1
 
11.1%
G 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
81.8%
ASCII 94
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 46
 
10.9%
사 24
 
5.7%
엔 23
 
5.4%
이 21
 
5.0%
지 21
 
5.0%
기 18
 
4.3%
링 13
 
3.1%
어 13
 
3.1%
니 13
 
3.1%
씨 11
 
2.6%
Other values (81) 220
52.0%
ASCII
ValueCountFrequency (%)
( 37
39.4%
) 37
39.4%
8
 
8.5%
E 3
 
3.2%
. 2
 
2.1%
C 2
 
2.1%
N 2
 
2.1%
M 1
 
1.1%
- 1
 
1.1%
G 1
 
1.1%

최종수정시점
Date

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2006-10-18 17:00:13
Maximum2023-05-17 09:46:00
2024-04-18T12:37:26.827461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T12:37:26.969467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
I
32 
U
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 32
56.1%
U 25
43.9%

Length

2024-04-18T12:37:27.101562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:27.209873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 32
56.1%
u 25
43.9%

데이터갱신일자
Categorical

Distinct19
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
2018-08-31 23:59:59
28 
2023-05-26 08:48:36
6 
2019-04-26 02:40:00
4 
2021-07-14 02:40:00
 
2
2020-12-30 02:40:00
 
2
Other values (14)
15 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique13 ?
Unique (%)22.8%

Sample

1st row2020-12-09 02:40:00
2nd row2018-08-31 23:59:59
3rd row2022-02-19 02:40:00
4th row2022-08-21 02:40:00
5th row2020-11-18 02:40:00

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 28
49.1%
2023-05-26 08:48:36 6
 
10.5%
2019-04-26 02:40:00 4
 
7.0%
2021-07-14 02:40:00 2
 
3.5%
2020-12-30 02:40:00 2
 
3.5%
2022-02-19 02:40:00 2
 
3.5%
2020-09-02 02:40:00 1
 
1.8%
2018-10-07 02:37:39 1
 
1.8%
2021-08-14 00:22:50 1
 
1.8%
2019-03-31 02:40:00 1
 
1.8%
Other values (9) 9
 
15.8%

Length

2024-04-18T12:37:27.308017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 28
24.6%
23:59:59 28
24.6%
02:40:00 20
17.5%
2023-05-26 6
 
5.3%
08:48:36 6
 
5.3%
2019-04-26 4
 
3.5%
2021-07-14 2
 
1.8%
2020-12-30 2
 
1.8%
2022-02-19 2
 
1.8%
2020-11-19 1
 
0.9%
Other values (15) 15
13.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)89.6%
Missing9
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean344309.33
Minimum334621.23
Maximum352508.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-18T12:37:27.444398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334621.23
5-th percentile337862.3
Q1341779.54
median345007.5
Q3346735.46
95-th percentile349052.99
Maximum352508.86
Range17887.637
Interquartile range (IQR)4955.9222

Descriptive statistics

Standard deviation3749.6527
Coefficient of variation (CV)0.010890361
Kurtosis0.24347621
Mean344309.33
Median Absolute Deviation (MAD)1973.7937
Skewness-0.50814004
Sum16526848
Variance14059895
MonotonicityNot monotonic
2024-04-18T12:37:27.588560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
347099.834794977 2
 
3.5%
341097.357830197 2
 
3.5%
343990.953377234 2
 
3.5%
345788.488108958 2
 
3.5%
339692.068631494 2
 
3.5%
343474.428799594 1
 
1.8%
350775.260288725 1
 
1.8%
346621.939233257 1
 
1.8%
344886.028177095 1
 
1.8%
352508.861736613 1
 
1.8%
Other values (33) 33
57.9%
(Missing) 9
 
15.8%
ValueCountFrequency (%)
334621.225167521 1
1.8%
335843.315810014 1
1.8%
337290.476939859 1
1.8%
338924.266944344 1
1.8%
339666.89805761 1
1.8%
339692.068631494 2
3.5%
339922.644222408 1
1.8%
340224.842223043 1
1.8%
340740.586881864 1
1.8%
341097.357830197 2
3.5%
ValueCountFrequency (%)
352508.861736613 1
1.8%
350775.260288725 1
1.8%
349147.61284899 1
1.8%
348877.264262122 1
1.8%
348844.339231807 1
1.8%
348585.347528119 1
1.8%
347470.257305061 1
1.8%
347099.834794977 2
3.5%
347019.893434179 1
1.8%
346942.691096638 1
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)89.6%
Missing9
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean263849.66
Minimum258178.92
Maximum273548.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-18T12:37:27.769228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258178.92
5-th percentile258683.83
Q1261467.45
median263571.97
Q3265285.48
95-th percentile270735.18
Maximum273548.12
Range15369.207
Interquartile range (IQR)3818.0253

Descriptive statistics

Standard deviation3546.9413
Coefficient of variation (CV)0.013443039
Kurtosis0.30552967
Mean263849.66
Median Absolute Deviation (MAD)2117.3147
Skewness0.67822039
Sum12664784
Variance12580793
MonotonicityNot monotonic
2024-04-18T12:37:27.909386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
259248.897035138 2
 
3.5%
261484.477731744 2
 
3.5%
270781.562229066 2
 
3.5%
262764.386906273 2
 
3.5%
258178.917239669 2
 
3.5%
262696.575454534 1
 
1.8%
260803.261833604 1
 
1.8%
265048.32860083 1
 
1.8%
264849.333098771 1
 
1.8%
260645.517099214 1
 
1.8%
Other values (33) 33
57.9%
(Missing) 9
 
15.8%
ValueCountFrequency (%)
258178.917239669 2
3.5%
258379.558506375 1
1.8%
259248.897035138 2
3.5%
259798.975468906 1
1.8%
259811.193991935 1
1.8%
260645.517099214 1
1.8%
260803.261833604 1
1.8%
260828.611406307 1
1.8%
261205.185757893 1
1.8%
261416.382372822 1
1.8%
ValueCountFrequency (%)
273548.124057049 1
1.8%
270781.562229066 2
3.5%
270649.029846 1
1.8%
270065.788688571 1
1.8%
268408.951404422 1
1.8%
268253.789361955 1
1.8%
267142.757949217 1
1.8%
266238.113736548 1
1.8%
265779.309862773 1
1.8%
265773.31426764 1
1.8%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
설계업
57 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
설계업 57
100.0%

Length

2024-04-18T12:37:28.060659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:28.166156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계업 57
100.0%

설계감리업종류명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
전문설계업1종
41 
전문설계업2종
16 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전문설계업1종
2nd row전문설계업1종
3rd row전문설계업2종
4th row전문설계업1종
5th row전문설계업2종

Common Values

ValueCountFrequency (%)
전문설계업1종 41
71.9%
전문설계업2종 16
 
28.1%

Length

2024-04-18T12:37:28.261546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:28.354288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문설계업1종 41
71.9%
전문설계업2종 16
 
28.1%

소속국가명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
대한민국
30 
<NA>
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 30
52.6%
<NA> 27
47.4%

Length

2024-04-18T12:37:28.456939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:37:28.557284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 30
52.6%
na 27
47.4%

실질자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)35.7%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean88011891
Minimum0
Maximum2.6001 × 109
Zeros29
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-04-18T12:37:28.665224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q350000000
95-th percentile2.9135755 × 108
Maximum2.6001 × 109
Range2.6001 × 109
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation3.5181168 × 108
Coefficient of variation (CV)3.9973198
Kurtosis49.569928
Mean88011891
Median Absolute Deviation (MAD)0
Skewness6.881124
Sum4.9286659 × 109
Variance1.2377145 × 1017
MonotonicityNot monotonic
2024-04-18T12:37:28.796393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 29
50.9%
50000000 8
 
14.0%
30000000 2
 
3.5%
2600100000 1
 
1.8%
35376216 1
 
1.8%
10079040 1
 
1.8%
50878575 1
 
1.8%
32035442 1
 
1.8%
300000000 1
 
1.8%
36068000 1
 
1.8%
Other values (10) 10
 
17.5%
ValueCountFrequency (%)
0 29
50.9%
6738800 1
 
1.8%
10079040 1
 
1.8%
30000000 2
 
3.5%
32035442 1
 
1.8%
32073914 1
 
1.8%
35376216 1
 
1.8%
36068000 1
 
1.8%
50000000 8
 
14.0%
50878575 1
 
1.8%
ValueCountFrequency (%)
2600100000 1
1.8%
433000000 1
1.8%
300000000 1
1.8%
288476728 1
1.8%
210000000 1
1.8%
164955610 1
1.8%
100000000 1
1.8%
60075000 1
1.8%
55231200 1
1.8%
53577360 1
1.8%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명설계감리업종류명소속국가명실질자본금
01전력기술설계업체09_28_13_P62700001997627000085000061997-08-29<NA>1영업/정상1인허가<NA><NA><NA><NA>537492000<NA>41256대구광역시 동구 신천동 89-6 대구무역회관,16층대구광역시 동구 동대구로 489, 대구무역회관 16층 (신천동)41256(주)동우이앤씨2020-12-07 15:50:17U2020-12-09 02:40:00<NA>346671.596784264994.226366설계업전문설계업1종대한민국0
12전력기술설계업체09_28_13_P62700002012627000085000042012-10-04<NA>1영업/정상1인허가<NA><NA><NA><NA>533118415<NA><NA><NA>대구광역시 북구 칠곡중앙대로128길 9 (읍내동)702-847(주)세명전기2013-04-10 12:59:17I2018-08-31 23:59:59<NA>340224.842223273548.124057설계업전문설계업1종대한민국433000000
23전력기술설계업체09_28_13_P62700002019627000085000012019-10-10<NA>1영업/정상1인허가<NA><NA><NA><NA><NA><NA>41586대구광역시 북구 칠성동2가 127번지 성광우방타운 107동 406호대구광역시 북구 호암로 20, 107동 406호(칠성동2가, 성광우방타운)41586(주)주원이엔즈2022-02-17 16:55:42U2022-02-19 02:40:00<NA>343728.419265773.314268설계업전문설계업2종<NA>50000000
34전력기술설계업체09_28_13_P62700002013627000085000012010-06-03<NA>1영업/정상1인허가<NA><NA><NA><NA>536287200<NA>42471대구광역시 남구 대명동 3055-7대구광역시 남구 성당로 74-2, 5층(대명동)42471주식회사경도기술단2022-08-19 09:20:31U2022-08-21 02:40:00<NA>341097.35783261484.477732설계업전문설계업1종<NA>0
45전력기술설계업체09_28_13_P62700002020627000085000022020-03-11<NA>1영업/정상1인허가<NA><NA><NA><NA>532144343<NA>41474대구광역시 북구 서변동 1729-5대구광역시 북구 호국로57길 31-12, 3층 302호 (서변동)41474주식회사 성민이엔지(삭제할것-중복)2020-11-16 17:00:45U2020-11-18 02:40:00<NA>343990.953377270781.562229설계업전문설계업2종<NA>50000000
56전력기술설계업체09_28_13_P62700002020627000085000032020-03-11<NA>1영업/정상1인허가<NA><NA><NA><NA>532144343<NA>41474대구광역시 북구 서변동 1729-5대구광역시 북구 호국로57길 31-12, 3층 302호 (서변동)41474주식회사 성민이엔지2020-03-11 16:55:41I2020-03-13 00:23:38<NA>343990.953377270781.562229설계업전문설계업2종<NA>50000000
67전력기술설계업체09_28_13_P62700002020627000085000012020-02-27<NA>1영업/정상1인허가<NA><NA><NA><NA>536220944<NA>42458대구광역시 남구 대명동 3020-43대구광역시 남구 대경6길 1, 2층 (대명동)42458주식회사 나무전기2021-07-12 15:36:14U2021-07-14 02:40:00<NA>342147.895939262200.395899설계업전문설계업1종<NA>50000000
78전력기술설계업체09_28_13_P62700002005627000085000032005-07-19<NA>1영업/정상1인허가<NA><NA><NA><NA>535938550<NA><NA><NA>대구광역시 달성군 논공읍 달성군청로6길 17711-851(주)광명엔지니어링2014-09-15 15:53:54I2018-08-31 23:59:59<NA><NA><NA>설계업전문설계업1종대한민국0
89전력기술설계업체09_28_13_P62700001997627000085000031997-02-28<NA>1영업/정상1인허가<NA><NA><NA><NA>537511888<NA>42132대구광역시 수성구 수성동2가 176-2대구광역시 수성구 명덕로 408, 11층(수성동2가)42132(주)한동엔지니어링2022-01-27 18:48:53U2022-01-29 02:40:00<NA>345788.488109262764.386906설계업전문설계업1종대한민국0
910전력기술설계업체09_28_13_P62700001997627000085000041997-04-03<NA>1영업/정상1인허가<NA><NA><NA><NA>537565577<NA>41263대구광역시 동구 신천동 1368번지대구광역시 동구 동부로5길 41-3 (신천동)41263(주)덕원기술사2020-11-17 13:46:02U2020-11-19 02:40:00<NA>345896.977353265140.936599설계업전문설계업1종대한민국0
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명설계감리업종류명소속국가명실질자본금
4748전력기술설계업체09_28_13_P62700002006627000085000012006-09-07<NA>3폐업3폐업2007-01-12<NA><NA><NA>534710283<NA>705-831대구광역시 남구 봉덕3동 618번지 2호<NA><NA>에너지환경연구소(주)2007-01-23 13:59:02I2018-08-31 23:59:59<NA>344399.179426261416.382373설계업전문설계업1종<NA>0
4849전력기술설계업체09_28_13_P62700002007627000085000012007-02-07<NA>3폐업3폐업2008-02-25<NA><NA><NA>534288861<NA>700-423대구광역시 중구 동인동3가 271번지 30호<NA><NA>정이엔지2008-02-27 13:13:24I2018-08-31 23:59:59<NA>345188.612214264729.388182설계업전문설계업2종<NA>0
4950전력기술설계업체09_28_13_P62700002008627000085000032008-10-10<NA>3폐업3폐업2010-12-03<NA><NA><NA>536008054<NA>704-919대구광역시 달서구 신당동 1320번지 2호 이노비즈타워 8층 808호<NA><NA>금호이엔지(주)2010-12-07 13:58:51I2018-08-31 23:59:59<NA>334621.225168262044.332358설계업전문설계업1종대한민국300000000
5051전력기술설계업체09_28_13_P62700002009627000085000012009-04-24<NA>3폐업3폐업2009-12-07<NA><NA><NA>532113354<NA>700-732대구광역시 중구 동인동2가 호수빌딩 18층<NA><NA>씨티씨2009-12-08 16:35:46I2018-08-31 23:59:59<NA><NA><NA>설계업전문설계업1종대한민국32035442
5152전력기술설계업체09_28_13_P62700002004627000085000012004-02-02<NA>3폐업3폐업<NA><NA><NA><NA>537687097<NA>706-040대구 수성구 황금동 697-3<NA><NA>(주)대경EMC2006-10-18 17:00:13I2018-08-31 23:59:59<NA><NA><NA>설계업전문설계업1종대한민국0
5253전력기술설계업체09_28_13_P62700002010627000085000012010-04-21<NA>3폐업3폐업2012-03-16<NA><NA><NA>534289495<NA>706-032대구광역시 수성구 수성동2가 184번지 1호대구광역시 수성구 수성로64길 35-1 (수성동2가)706-032태하기술단2012-03-19 14:06:55I2018-08-31 23:59:59<NA>345866.54634262682.961583설계업전문설계업2종<NA>50878575
5354전력기술설계업체09_28_13_P62700002002627000085000012002-02-08<NA>3폐업3폐업2009-11-10<NA><NA><NA>537469400<NA>701-812대구광역시 동구 신암4동 250번지 4호 삼승월드타워 203<NA><NA>(주)동영이.엔.지2009-11-11 15:02:24I2018-08-31 23:59:59<NA>347019.893434266238.113737설계업전문설계업1종대한민국0
5455전력기술설계업체09_28_13_P62700002010627000085000032010-05-28<NA>3폐업3폐업2010-05-28<NA><NA><NA>539565747<NA>701-843대구광역시 동구 효목1동 1055번지<NA><NA>무무전기설계사무소2010-05-28 15:58:27I2018-08-31 23:59:59<NA>348844.339232265779.309863설계업전문설계업2종<NA>10079040
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