Overview

Dataset statistics

Number of variables51
Number of observations21
Missing cells628
Missing cells (%)58.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory454.3 B

Variable types

Numeric10
Categorical9
Unsupported28
Text3
DateTime1

Dataset

Description6270000_대구광역시_09_30_18_P_환경컨설팅회사_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088513&dataSetDetailId=DDI_0000088541&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
사업장구분명 has constant value ""Constant
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 6 (28.6%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
소재지전화 has 9 (42.9%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 7 (33.3%) missing valuesMissing
소재지전체주소 has 2 (9.5%) missing valuesMissing
도로명우편번호 has 4 (19.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 6 (28.6%) missing valuesMissing
좌표정보(Y) has 6 (28.6%) missing valuesMissing
실험실면적 has 21 (100.0%) missing valuesMissing
영업소면적 has 21 (100.0%) missing valuesMissing
위탁업체명 has 21 (100.0%) missing valuesMissing
실험실지역코드 has 21 (100.0%) missing valuesMissing
실험실우편번호 has 21 (100.0%) missing valuesMissing
실험실산 has 21 (100.0%) missing valuesMissing
실험실번지 has 21 (100.0%) missing valuesMissing
실험실호 has 21 (100.0%) missing valuesMissing
실험실통 has 21 (100.0%) missing valuesMissing
실험실반 has 21 (100.0%) missing valuesMissing
실험실특수주소 has 21 (100.0%) missing valuesMissing
실험실특수주소동 has 21 (100.0%) missing valuesMissing
실험실특수주소호 has 21 (100.0%) missing valuesMissing
실험실도로명주소시군구코드 has 21 (100.0%) missing valuesMissing
실험실도로명주소읍면동코드 has 21 (100.0%) missing valuesMissing
실험실도로명주소읍면동구분 has 21 (100.0%) missing valuesMissing
실험실도로명주소코드 has 21 (100.0%) missing valuesMissing
실험실도로명특수주소 has 21 (100.0%) missing valuesMissing
실험실도로명주소건물층구분 has 21 (100.0%) missing valuesMissing
실험실도로명주소건물본번호 has 21 (100.0%) missing valuesMissing
실험실도로명주소건물부번호 has 21 (100.0%) missing valuesMissing
실험실도로명주소우편번호 has 21 (100.0%) 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
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 started2023-12-10 20:19:59.022850
Analysis finished2023-12-10 20:19:59.684888
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:19:59.782206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-11T05:20:00.001815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
환경컨설팅회사
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경컨설팅회사 21
100.0%

Length

2023-12-11T05:20:00.276993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:00.442992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경컨설팅회사 21
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
09_30_18_P
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_18_P
2nd row09_30_18_P
3rd row09_30_18_P
4th row09_30_18_P
5th row09_30_18_P

Common Values

ValueCountFrequency (%)
09_30_18_P 21
100.0%

Length

2023-12-11T05:20:00.596478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:00.741483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_18_p 21
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
6270000
21 

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 21
100.0%

Length

2023-12-11T05:20:00.895211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:01.066009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2700002 × 1017
Minimum6.2700002 × 1017
Maximum6.2700002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:01.233771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2700002 × 1017
5-th percentile6.2700002 × 1017
Q16.2700002 × 1017
median6.2700002 × 1017
Q36.2700002 × 1017
95-th percentile6.2700002 × 1017
Maximum6.2700002 × 1017
Range900000
Interquartile range (IQR)600064

Descriptive statistics

Standard deviation330015.31
Coefficient of variation (CV)5.2634018 × 10-13
Kurtosis-1.5972991
Mean6.2700002 × 1017
Median Absolute Deviation (MAD)199936
Skewness-0.22122107
Sum-5.2797436 × 1018
Variance1.089101 × 1011
MonotonicityNot monotonic
2023-12-11T05:20:01.458777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
627000020202000001 1
 
4.8%
627000020201800007 1
 
4.8%
627000020202000003 1
 
4.8%
627000020201800001 1
 
4.8%
627000020201800003 1
 
4.8%
627000020201800004 1
 
4.8%
627000020201700001 1
 
4.8%
627000020201600001 1
 
4.8%
627000020201400001 1
 
4.8%
627000020201200007 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
627000020201200001 1
4.8%
627000020201200002 1
4.8%
627000020201200003 1
4.8%
627000020201200004 1
4.8%
627000020201200005 1
4.8%
627000020201200006 1
4.8%
627000020201200007 1
4.8%
627000020201400001 1
4.8%
627000020201600001 1
4.8%
627000020201700001 1
4.8%
ValueCountFrequency (%)
627000020202100001 1
4.8%
627000020202000003 1
4.8%
627000020202000002 1
4.8%
627000020202000001 1
4.8%
627000020201800007 1
4.8%
627000020201800006 1
4.8%
627000020201800005 1
4.8%
627000020201800004 1
4.8%
627000020201800003 1
4.8%
627000020201800002 1
4.8%

인허가일자
Real number (ℝ)

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20167357
Minimum20120326
Maximum20210118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:01.684162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120326
5-th percentile20120404
Q120120719
median20180501
Q320201014
95-th percentile20210115
Maximum20210118
Range89792
Interquartile range (IQR)80295

Descriptive statistics

Standard deviation35804.919
Coefficient of variation (CV)0.0017753897
Kurtosis-1.7064078
Mean20167357
Median Absolute Deviation (MAD)20729
Skewness-0.33030884
Sum4.235145 × 108
Variance1.2819922 × 109
MonotonicityNot monotonic
2023-12-11T05:20:01.897001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20120404 3
14.3%
20120719 2
 
9.5%
20201228 2
 
9.5%
20201014 1
 
4.8%
20191121 1
 
4.8%
20190902 1
 
4.8%
20180611 1
 
4.8%
20180501 1
 
4.8%
20161108 1
 
4.8%
20140317 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
20120326 1
 
4.8%
20120404 3
14.3%
20120719 2
9.5%
20140317 1
 
4.8%
20140806 1
 
4.8%
20161108 1
 
4.8%
20180404 1
 
4.8%
20180501 1
 
4.8%
20180611 1
 
4.8%
20190902 1
 
4.8%
ValueCountFrequency (%)
20210118 1
4.8%
20210115 1
4.8%
20201230 1
4.8%
20201228 2
9.5%
20201014 1
4.8%
20200818 1
4.8%
20191121 1
4.8%
20190902 1
4.8%
20180611 1
4.8%
20180501 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
3
15 
1
6 

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 (%)
3 15
71.4%
1 6
 
28.6%

Length

2023-12-11T05:20:02.085970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:02.248249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 15
71.4%
1 6
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
15 
영업/정상
6 

Length

Max length5
Median length2
Mean length2.8571429
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 (%)
폐업 15
71.4%
영업/정상 6
 
28.6%

Length

2023-12-11T05:20:02.465563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:02.635562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 15
71.4%
영업/정상 6
 
28.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
Q
15 
N
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Q 15
71.4%
N 6
 
28.6%

Length

2023-12-11T05:20:02.819942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:02.954343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q 15
71.4%
n 6
 
28.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
15 
신규
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 15
71.4%
신규 6
 
28.6%

Length

2023-12-11T05:20:03.118431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:03.276141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 15
71.4%
신규 6
 
28.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean20154667
Minimum20081202
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:03.435151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081202
5-th percentile20102004
Q120120404
median20160324
Q320195258
95-th percentile20203896
Maximum20210129
Range128927
Interquartile range (IQR)74854.5

Descriptive statistics

Standard deviation41873.064
Coefficient of variation (CV)0.0020775865
Kurtosis-1.4252104
Mean20154667
Median Absolute Deviation (MAD)39980
Skewness-0.17136912
Sum3.0232001 × 108
Variance1.7533535 × 109
MonotonicityNot monotonic
2023-12-11T05:20:03.633704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20200304 1
 
4.8%
20120604 1
 
4.8%
20111107 1
 
4.8%
20121120 1
 
4.8%
20120203 1
 
4.8%
20140806 1
 
4.8%
20081202 1
 
4.8%
20110919 1
 
4.8%
20160324 1
 
4.8%
20170228 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 6
28.6%
ValueCountFrequency (%)
20081202 1
4.8%
20110919 1
4.8%
20111107 1
4.8%
20120203 1
4.8%
20120604 1
4.8%
20121120 1
4.8%
20140806 1
4.8%
20160324 1
4.8%
20170228 1
4.8%
20180918 1
4.8%
ValueCountFrequency (%)
20210129 1
4.8%
20201224 1
4.8%
20200709 1
4.8%
20200304 1
4.8%
20190212 1
4.8%
20180918 1
4.8%
20170228 1
4.8%
20160324 1
4.8%
20140806 1
4.8%
20121120 1
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean5.3575366 × 108
Minimum5.3246982 × 108
Maximum5.3957451 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:03.777927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3246982 × 108
5-th percentile5.3288282 × 108
Q15.3511937 × 108
median5.3559825 × 108
Q35.3667604 × 108
95-th percentile5.3871585 × 108
Maximum5.3957451 × 108
Range7104697
Interquartile range (IQR)1556665.8

Descriptive statistics

Standard deviation2017304.1
Coefficient of variation (CV)0.0037653576
Kurtosis-0.00011992836
Mean5.3575366 × 108
Median Absolute Deviation (MAD)1263763.5
Skewness0.20638786
Sum6.4290439 × 109
Variance4.0695158 × 1012
MonotonicityNot monotonic
2023-12-11T05:20:03.939103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
535552126 2
 
9.5%
539574512 1
 
4.8%
537658220 1
 
4.8%
535621606 1
 
4.8%
535636806 1
 
4.8%
536348647 1
 
4.8%
532469815 1
 
4.8%
535574900 1
 
4.8%
538013312 1
 
4.8%
533220727 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
532469815 1
4.8%
533220727 1
4.8%
533821120 1
4.8%
535552126 2
9.5%
535574900 1
4.8%
535621606 1
4.8%
535636806 1
4.8%
536348647 1
4.8%
537658220 1
4.8%
538013312 1
4.8%
ValueCountFrequency (%)
539574512 1
4.8%
538013312 1
4.8%
537658220 1
4.8%
536348647 1
4.8%
535636806 1
4.8%
535621606 1
4.8%
535574900 1
4.8%
535552126 2
9.5%
533821120 1
4.8%
533220727 1
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean373000.93
Minimum41028
Maximum704904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:04.091055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41345.2
Q141945.5
median372926.5
Q3703832.25
95-th percentile704854.6
Maximum704904
Range663876
Interquartile range (IQR)661886.75

Descriptive statistics

Standard deviation343481.13
Coefficient of variation (CV)0.92085864
Kurtosis-2.363614
Mean373000.93
Median Absolute Deviation (MAD)330909.5
Skewness2.2266148 × 10-7
Sum5222013
Variance1.1797929 × 1011
MonotonicityNot monotonic
2023-12-11T05:20:04.238774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
703830 2
 
9.5%
43008 1
 
4.8%
41516 1
 
4.8%
41844 1
 
4.8%
42250 1
 
4.8%
703839 1
 
4.8%
704828 1
 
4.8%
704904 1
 
4.8%
703833 1
 
4.8%
702845 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 7
33.3%
ValueCountFrequency (%)
41028 1
4.8%
41516 1
4.8%
41749 1
4.8%
41844 1
4.8%
42250 1
4.8%
42709 1
4.8%
43008 1
4.8%
702845 1
4.8%
703830 2
9.5%
703833 1
4.8%
ValueCountFrequency (%)
704904 1
4.8%
704828 1
4.8%
703839 1
4.8%
703833 1
4.8%
703830 2
9.5%
702845 1
4.8%
43008 1
4.8%
42709 1
4.8%
42250 1
4.8%
41844 1
4.8%

소재지전체주소
Text

MISSING 

Distinct17
Distinct (%)89.5%
Missing2
Missing (%)9.5%
Memory size300.0 B
2023-12-11T05:20:04.460817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length23.210526
Min length18

Characters and Unicode

Total characters441
Distinct characters60
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)78.9%

Sample

1st row대구광역시 달서구 호산동 1-11
2nd row대구광역시 달성군 구지면 응암리 1278-10
3rd row대구광역시 북구 산격동 1806번지
4th row대구광역시 서구 이현동 42-450
5th row대구광역시 서구 중리동 1119-7
ValueCountFrequency (%)
대구광역시 19
21.6%
서구 9
 
10.2%
달서구 4
 
4.5%
중리동 3
 
3.4%
이현동 3
 
3.4%
567번지 2
 
2.3%
북구 2
 
2.3%
평리동 2
 
2.3%
수성구 2
 
2.3%
292호 2
 
2.3%
Other values (38) 40
45.5%
2023-12-11T05:20:04.824878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
20.4%
구 38
 
8.6%
1 27
 
6.1%
대 20
 
4.5%
시 20
 
4.5%
광 19
 
4.3%
역 19
 
4.3%
동 19
 
4.3%
2 15
 
3.4%
서 13
 
2.9%
Other values (50) 161
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
56.0%
Decimal Number 95
 
21.5%
Space Separator 90
 
20.4%
Dash Punctuation 9
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 38
15.4%
대 20
 
8.1%
시 20
 
8.1%
광 19
 
7.7%
역 19
 
7.7%
동 19
 
7.7%
서 13
 
5.3%
지 12
 
4.9%
호 10
 
4.0%
번 10
 
4.0%
Other values (38) 67
27.1%
Decimal Number
ValueCountFrequency (%)
1 27
28.4%
2 15
15.8%
0 9
 
9.5%
7 9
 
9.5%
5 8
 
8.4%
9 7
 
7.4%
3 6
 
6.3%
6 5
 
5.3%
4 5
 
5.3%
8 4
 
4.2%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
56.0%
Common 194
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 38
15.4%
대 20
 
8.1%
시 20
 
8.1%
광 19
 
7.7%
역 19
 
7.7%
동 19
 
7.7%
서 13
 
5.3%
지 12
 
4.9%
호 10
 
4.0%
번 10
 
4.0%
Other values (38) 67
27.1%
Common
ValueCountFrequency (%)
90
46.4%
1 27
 
13.9%
2 15
 
7.7%
0 9
 
4.6%
- 9
 
4.6%
7 9
 
4.6%
5 8
 
4.1%
9 7
 
3.6%
3 6
 
3.1%
6 5
 
2.6%
Other values (2) 9
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
56.0%
ASCII 194
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
46.4%
1 27
 
13.9%
2 15
 
7.7%
0 9
 
4.6%
- 9
 
4.6%
7 9
 
4.6%
5 8
 
4.1%
9 7
 
3.6%
3 6
 
3.1%
6 5
 
2.6%
Other values (2) 9
 
4.6%
Hangul
ValueCountFrequency (%)
구 38
15.4%
대 20
 
8.1%
시 20
 
8.1%
광 19
 
7.7%
역 19
 
7.7%
동 19
 
7.7%
서 13
 
5.3%
지 12
 
4.9%
호 10
 
4.0%
번 10
 
4.0%
Other values (38) 67
27.1%

도로명전체주소
Text

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T05:20:05.097265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length27.619048
Min length23

Characters and Unicode

Total characters580
Distinct characters82
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

Unique14 ?
Unique (%)66.7%

Sample

1st row대구광역시 달서구 달구벌대로 1053, 2층 (호산동)
2nd row대구광역시 달성군 구지면 국가산단대로46길 63
3rd row대구광역시 북구 유통단지로8길 120-1, 3층 (산격동)
4th row대구광역시 서구 와룡로87길 24 (이현동)
5th row대구광역시 서구 와룡로72길 8 (중리동)
ValueCountFrequency (%)
대구광역시 21
 
18.3%
서구 10
 
8.7%
달서구 4
 
3.5%
이현동 4
 
3.5%
와룡로72길 3
 
2.6%
8 3
 
2.6%
중리동 3
 
2.6%
평리동 3
 
2.6%
수성구 3
 
2.6%
북구 2
 
1.7%
Other values (51) 59
51.3%
2023-12-11T05:20:05.524304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
16.2%
구 46
 
7.9%
대 28
 
4.8%
시 24
 
4.1%
광 21
 
3.6%
역 21
 
3.6%
동 21
 
3.6%
로 21
 
3.6%
( 20
 
3.4%
) 20
 
3.4%
Other values (72) 264
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
58.8%
Space Separator 94
 
16.2%
Decimal Number 92
 
15.9%
Open Punctuation 20
 
3.4%
Close Punctuation 20
 
3.4%
Other Punctuation 8
 
1.4%
Uppercase Letter 3
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 46
 
13.5%
대 28
 
8.2%
시 24
 
7.0%
광 21
 
6.2%
역 21
 
6.2%
동 21
 
6.2%
로 21
 
6.2%
서 16
 
4.7%
길 11
 
3.2%
달 9
 
2.6%
Other values (54) 123
36.1%
Decimal Number
ValueCountFrequency (%)
1 17
18.5%
2 14
15.2%
3 13
14.1%
0 9
9.8%
8 8
8.7%
5 8
8.7%
7 7
7.6%
6 7
7.6%
4 5
 
5.4%
9 4
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
D 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
58.8%
Common 236
40.7%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 46
 
13.5%
대 28
 
8.2%
시 24
 
7.0%
광 21
 
6.2%
역 21
 
6.2%
동 21
 
6.2%
로 21
 
6.2%
서 16
 
4.7%
길 11
 
3.2%
달 9
 
2.6%
Other values (54) 123
36.1%
Common
ValueCountFrequency (%)
94
39.8%
( 20
 
8.5%
) 20
 
8.5%
1 17
 
7.2%
2 14
 
5.9%
3 13
 
5.5%
0 9
 
3.8%
8 8
 
3.4%
, 8
 
3.4%
5 8
 
3.4%
Other values (5) 25
 
10.6%
Latin
ValueCountFrequency (%)
C 1
33.3%
D 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
58.8%
ASCII 239
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
39.3%
( 20
 
8.4%
) 20
 
8.4%
1 17
 
7.1%
2 14
 
5.9%
3 13
 
5.4%
0 9
 
3.8%
8 8
 
3.3%
, 8
 
3.3%
5 8
 
3.3%
Other values (8) 28
 
11.7%
Hangul
ValueCountFrequency (%)
구 46
 
13.5%
대 28
 
8.2%
시 24
 
7.0%
광 21
 
6.2%
역 21
 
6.2%
동 21
 
6.2%
로 21
 
6.2%
서 16
 
4.7%
길 11
 
3.2%
달 9
 
2.6%
Other values (54) 123
36.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing4
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean353631.82
Minimum41028
Maximum706220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:05.669463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41418.4
Q141759
median43008
Q3703833
95-th percentile705167.2
Maximum706220
Range665192
Interquartile range (IQR)662074

Descriptive statistics

Standard deviation340756.23
Coefficient of variation (CV)0.9635904
Kurtosis-2.2666339
Mean353631.82
Median Absolute Deviation (MAD)1980
Skewness0.12958447
Sum6011741
Variance1.1611481 × 1011
MonotonicityNot monotonic
2023-12-11T05:20:05.777933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
703830 2
 
9.5%
41749 2
 
9.5%
43008 1
 
4.8%
41516 1
 
4.8%
41844 1
 
4.8%
42250 1
 
4.8%
703839 1
 
4.8%
704828 1
 
4.8%
704904 1
 
4.8%
703833 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 4
19.0%
ValueCountFrequency (%)
41028 1
4.8%
41516 1
4.8%
41749 2
9.5%
41759 1
4.8%
41844 1
4.8%
42250 1
4.8%
42709 1
4.8%
43008 1
4.8%
702845 1
4.8%
703830 2
9.5%
ValueCountFrequency (%)
706220 1
4.8%
704904 1
4.8%
704828 1
4.8%
703839 1
4.8%
703833 1
4.8%
703830 2
9.5%
702845 1
4.8%
43008 1
4.8%
42709 1
4.8%
42250 1
4.8%

사업장명
Text

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T05:20:05.964477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length7.4285714
Min length4

Characters and Unicode

Total characters156
Distinct characters52
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)52.4%

Sample

1st row(주)케이스
2nd row(주)지이테크
3rd row(주)엔씨솔루션
4th row(주)신라엔텍
5th row(주)청수
ValueCountFrequency (%)
주)청수 3
14.3%
주)한국이앤씨 3
14.3%
주)이화환경지점 2
 
9.5%
엔테크원(주 2
 
9.5%
주)케이스 1
 
4.8%
주)지이테크 1
 
4.8%
주)엔씨솔루션 1
 
4.8%
주)신라엔텍 1
 
4.8%
포리스트 1
 
4.8%
한국수자원환경연구소(주 1
 
4.8%
Other values (5) 5
23.8%
2023-12-11T05:20:06.289942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 19
 
12.2%
) 19
 
12.2%
주 19
 
12.2%
이 7
 
4.5%
엔 6
 
3.8%
수 4
 
2.6%
한 4
 
2.6%
국 4
 
2.6%
씨 4
 
2.6%
경 4
 
2.6%
Other values (42) 66
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118
75.6%
Open Punctuation 19
 
12.2%
Close Punctuation 19
 
12.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
16.1%
이 7
 
5.9%
엔 6
 
5.1%
수 4
 
3.4%
한 4
 
3.4%
국 4
 
3.4%
씨 4
 
3.4%
경 4
 
3.4%
지 4
 
3.4%
원 3
 
2.5%
Other values (40) 59
50.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118
75.6%
Common 38
 
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
16.1%
이 7
 
5.9%
엔 6
 
5.1%
수 4
 
3.4%
한 4
 
3.4%
국 4
 
3.4%
씨 4
 
3.4%
경 4
 
3.4%
지 4
 
3.4%
원 3
 
2.5%
Other values (40) 59
50.0%
Common
ValueCountFrequency (%)
( 19
50.0%
) 19
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118
75.6%
ASCII 38
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 19
50.0%
) 19
50.0%
Hangul
ValueCountFrequency (%)
주 19
 
16.1%
이 7
 
5.9%
엔 6
 
5.1%
수 4
 
3.4%
한 4
 
3.4%
국 4
 
3.4%
씨 4
 
3.4%
경 4
 
3.4%
지 4
 
3.4%
원 3
 
2.5%
Other values (40) 59
50.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172072 × 1013
Minimum2.0120604 × 1013
Maximum2.0210201 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:06.454947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120604 × 1013
5-th percentile2.0120627 × 1013
Q12.0130221 × 1013
median2.0190213 × 1013
Q32.0201228 × 1013
95-th percentile2.0210118 × 1013
Maximum2.0210201 × 1013
Range8.9596965 × 1010
Interquartile range (IQR)7.1006972 × 1010

Descriptive statistics

Standard deviation3.6510298 × 1010
Coefficient of variation (CV)0.0018099429
Kurtosis-1.6002805
Mean2.0172072 × 1013
Median Absolute Deviation (MAD)1.9905031 × 1010
Skewness-0.50368237
Sum4.236135 × 1014
Variance1.3330018 × 1021
MonotonicityNot monotonic
2023-12-11T05:20:06.576691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20201014095634 1
 
4.8%
20201230164541 1
 
4.8%
20201228105259 1
 
4.8%
20200709134511 1
 
4.8%
20210201105707 1
 
4.8%
20181001091127 1
 
4.8%
20190213153949 1
 
4.8%
20170302131502 1
 
4.8%
20160613095847 1
 
4.8%
20120719161844 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20120604141145 1
4.8%
20120627112324 1
4.8%
20120711132550 1
4.8%
20120719155941 1
4.8%
20120719161844 1
4.8%
20130221131634 1
4.8%
20140807104546 1
4.8%
20160613095847 1
4.8%
20170302131502 1
4.8%
20181001091127 1
4.8%
ValueCountFrequency (%)
20210201105707 1
4.8%
20210118185246 1
4.8%
20210115093149 1
4.8%
20201230164541 1
4.8%
20201228105259 1
4.8%
20201228103502 1
4.8%
20201014095634 1
4.8%
20200818113925 1
4.8%
20200709134511 1
4.8%
20200304105136 1
4.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
14 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 14
66.7%
U 7
33.3%

Length

2023-12-11T05:20:06.702222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:06.833853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
66.7%
u 7
33.3%

데이터갱신일자
Date

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-10-03 02:36:43
Maximum2021-02-03 02:40:00
2023-12-11T05:20:06.943847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:20:07.330056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean341221.85
Minimum334621.23
Maximum353392.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:07.464445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334621.23
5-th percentile337321.96
Q1338786.18
median339059.42
Q3342686.03
95-th percentile349619.2
Maximum353392.67
Range18771.448
Interquartile range (IQR)3899.8573

Descriptive statistics

Standard deviation4722.2236
Coefficient of variation (CV)0.013839159
Kurtosis2.1216482
Mean341221.85
Median Absolute Deviation (MAD)949.36739
Skewness1.4404621
Sum5118327.7
Variance22299395
MonotonicityNot monotonic
2023-12-11T05:20:07.615849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
338894.926928 2
 
9.5%
338677.427853 2
 
9.5%
340008.783916 2
 
9.5%
345000.804589 1
 
4.8%
340371.264862 1
 
4.8%
338479.420697 1
 
4.8%
339059.416524 1
 
4.8%
345200.837701 1
 
4.8%
353392.673252 1
 
4.8%
339037.777802 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 6
28.6%
ValueCountFrequency (%)
334621.225167 1
4.8%
338479.420697 1
4.8%
338677.427853 2
9.5%
338894.926928 2
9.5%
339037.777802 1
4.8%
339059.416524 1
4.8%
340008.783916 2
9.5%
340371.264862 1
4.8%
345000.804589 1
4.8%
345200.837701 1
4.8%
ValueCountFrequency (%)
353392.673252 1
4.8%
348002.0 1
4.8%
345200.837701 1
4.8%
345000.804589 1
4.8%
340371.264862 1
4.8%
340008.783916 2
9.5%
339059.416524 1
4.8%
339037.777802 1
4.8%
338894.926928 2
9.5%
338677.427853 2
9.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean264637.11
Minimum260129.52
Maximum270010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T05:20:07.836756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260129.52
5-th percentile261081.08
Q1262934.86
median264369.71
Q3265447.98
95-th percentile269115.72
Maximum270010
Range9880.4839
Interquartile range (IQR)2513.1213

Descriptive statistics

Standard deviation2741.3162
Coefficient of variation (CV)0.010358775
Kurtosis-0.1354108
Mean264637.11
Median Absolute Deviation (MAD)1078.2703
Skewness0.41037635
Sum3969556.6
Variance7514814.7
MonotonicityNot monotonic
2023-12-11T05:20:08.087468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
263825.390815 2
 
9.5%
264369.712568 2
 
9.5%
265447.982846 2
 
9.5%
268051.856327 1
 
4.8%
265362.721318 1
 
4.8%
260129.516102 1
 
4.8%
261488.89679 1
 
4.8%
268732.459751 1
 
4.8%
261871.379689 1
 
4.8%
264579.257138 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 6
28.6%
ValueCountFrequency (%)
260129.516102 1
4.8%
261488.89679 1
4.8%
261871.379689 1
4.8%
262044.332358 1
4.8%
263825.390815 2
9.5%
264369.712568 2
9.5%
264579.257138 1
4.8%
265362.721318 1
4.8%
265447.982846 2
9.5%
268051.856327 1
4.8%
ValueCountFrequency (%)
270010.0 1
4.8%
268732.459751 1
4.8%
268051.856327 1
4.8%
265447.982846 2
9.5%
265362.721318 1
4.8%
264579.257138 1
4.8%
264369.712568 2
9.5%
263825.390815 2
9.5%
262044.332358 1
4.8%
261871.379689 1
4.8%

실험실면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

사업장구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
환경컨설팅회사
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경컨설팅회사 21
100.0%

Length

2023-12-11T05:20:08.479740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:08.853281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경컨설팅회사 21
100.0%

영업소면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실지역코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실산
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실번지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소시군구코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소읍면동코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소읍면동구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소건물층구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소건물본번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소건물부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

실험실도로명주소우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
01환경컨설팅회사09_30_18_P627000062700002020200000120201014<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 호산동 1-11대구광역시 달서구 달구벌대로 1053, 2층 (호산동)<NA>(주)케이스20201014095634U2020-10-16 02:40:00.0<NA><NA><NA><NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12환경컨설팅회사09_30_18_P627000062700002020180000720201230<NA>1영업/정상N신규<NA><NA><NA><NA>539574512<NA>43008대구광역시 달성군 구지면 응암리 1278-10대구광역시 달성군 구지면 국가산단대로46길 6343008(주)지이테크20201230164541U2021-01-01 02:40:00.0<NA><NA><NA><NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23환경컨설팅회사09_30_18_P627000062700002020180000520210118<NA>1영업/정상N신규<NA><NA><NA><NA>537658220<NA>41516대구광역시 북구 산격동 1806번지대구광역시 북구 유통단지로8길 120-1, 3층 (산격동)41516(주)엔씨솔루션20210118185246U2021-01-20 02:40:00.0<NA>345000.804589268051.856327<NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34환경컨설팅회사09_30_18_P627000062700002020180000620200818<NA>1영업/정상N신규<NA><NA><NA><NA>535621606<NA><NA>대구광역시 서구 이현동 42-450대구광역시 서구 와룡로87길 24 (이현동)<NA>(주)신라엔텍20200818113925U2020-08-20 02:40:00.0<NA><NA><NA><NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45환경컨설팅회사09_30_18_P627000062700002020200000220201228<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>41844대구광역시 서구 중리동 1119-7대구광역시 서구 와룡로72길 8 (중리동)41844(주)청수20201228103502I2020-12-30 00:23:06.0<NA>338894.926928263825.390815<NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56환경컨설팅회사09_30_18_P627000062700002020210000120210115<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>42250대구광역시 수성구 대흥동 841-1대구광역시 수성구 알파시티1로 194, 위너스타워 402호 (대흥동)42250포리스트20210115093149I2021-01-17 00:23:04.0<NA><NA><NA><NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67환경컨설팅회사09_30_18_P627000062700002020180000220180404<NA>3폐업Q폐업20200304<NA><NA><NA><NA><NA><NA>대구광역시 수성구 시지동 108-1대구광역시 수성구 달구벌대로621길 17 (시지동)<NA>한국수자원환경연구소(주)20200304105136U2020-03-06 02:40:00.0<NA><NA><NA><NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78환경컨설팅회사09_30_18_P627000062700002020120000120120326<NA>3폐업Q폐업20120604<NA><NA><NA>535636806<NA>703839대구광역시 서구 평리3동 719번지 1호대구광역시 서구 서대구로 230 (평리동)703839(주)한국이앤씨20120604141145I2019-03-23 02:20:03.0<NA>340371.264862265362.721318<NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89환경컨설팅회사09_30_18_P627000062700002020120000220120404<NA>3폐업Q폐업20111107<NA><NA><NA>535552126<NA>703830대구광역시 서구 이현동 42번지 292호대구광역시 서구 와룡로83길 13 (이현동)703830(주)이화환경지점20120711132550I2019-03-23 02:20:03.0<NA>338677.427853264369.712568<NA>환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
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