Overview

Dataset statistics

Number of variables52
Number of observations42
Missing cells844
Missing cells (%)38.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory458.1 B

Variable types

Numeric19
Categorical15
Unsupported12
Text5
DateTime1

Dataset

Description22년02월_6270000_대구광역시_09_30_15_P_환경관리대행기관
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092523&dataSetDetailId=DDI_0000092549&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
사업장구분명 has constant value ""Constant
실험실특수주소 has constant value ""Constant
실험실특수주소호 is highly imbalanced (83.8%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 21 (50.0%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
소재지전화 has 42 (100.0%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 6 (14.3%) missing valuesMissing
소재지전체주소 has 4 (9.5%) missing valuesMissing
도로명우편번호 has 2 (4.8%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
좌표정보(X) has 9 (21.4%) missing valuesMissing
좌표정보(Y) has 9 (21.4%) missing valuesMissing
실험실면적 has 12 (28.6%) missing valuesMissing
위탁업체명 has 42 (100.0%) missing valuesMissing
실험실지역코드 has 25 (59.5%) missing valuesMissing
실험실우편번호 has 25 (59.5%) missing valuesMissing
실험실번지 has 25 (59.5%) missing valuesMissing
실험실호 has 27 (64.3%) missing valuesMissing
실험실통 has 42 (100.0%) missing valuesMissing
실험실반 has 42 (100.0%) missing valuesMissing
실험실특수주소 has 41 (97.6%) missing valuesMissing
실험실특수주소동 has 42 (100.0%) missing valuesMissing
실험실도로명주소시군구코드 has 19 (45.2%) missing valuesMissing
실험실도로명주소읍면동코드 has 19 (45.2%) missing valuesMissing
실험실도로명주소코드 has 19 (45.2%) missing valuesMissing
실험실도로명특수주소 has 39 (92.9%) missing valuesMissing
실험실도로명주소건물본번호 has 19 (45.2%) missing valuesMissing
실험실도로명주소우편번호 has 19 (45.2%) missing valuesMissing
사업자등록번호 has 42 (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
소재지전화 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
위탁업체명 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
실험실특수주소동 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사업자등록번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실면적 has 14 (33.3%) zerosZeros
실험실호 has 1 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-10 18:07:51.865689
Analysis finished2023-12-10 18:07:52.846088
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:07:52.978042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-11T03:07:53.227089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
환경관리대행기관
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경관리대행기관 42
100.0%

Length

2023-12-11T03:07:53.436469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:53.605153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경관리대행기관 42
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
09_30_15_P
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_15_P
2nd row09_30_15_P
3rd row09_30_15_P
4th row09_30_15_P
5th row09_30_15_P

Common Values

ValueCountFrequency (%)
09_30_15_P 42
100.0%

Length

2023-12-11T03:07:53.766023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:53.915204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_15_p 42
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
6270000
42 

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 42
100.0%

Length

2023-12-11T03:07:54.107189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:54.282455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 42
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2700001 × 1017
Minimum6.2700001 × 1017
Maximum6.2700001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:07:54.485904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2700001 × 1017
5-th percentile6.2700001 × 1017
Q16.2700001 × 1017
median6.2700001 × 1017
Q36.2700001 × 1017
95-th percentile6.2700001 × 1017
Maximum6.2700001 × 1017
Range900000
Interquartile range (IQR)700032

Descriptive statistics

Standard deviation337737.56
Coefficient of variation (CV)5.3865639 × 10-13
Kurtosis-1.7336325
Mean6.2700001 × 1017
Median Absolute Deviation (MAD)400000
Skewness0.099955296
Sum7.8872564 × 1018
Variance1.1406666 × 1011
MonotonicityNot monotonic
2023-12-11T03:07:54.731355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
627000010201800002 1
 
2.4%
627000010202100006 1
 
2.4%
627000010201300016 1
 
2.4%
627000010201400001 1
 
2.4%
627000010201900001 1
 
2.4%
627000010201300005 1
 
2.4%
627000010201900002 1
 
2.4%
627000010201900004 1
 
2.4%
627000010202200001 1
 
2.4%
627000010202100007 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
627000010201300001 1
2.4%
627000010201300003 1
2.4%
627000010201300004 1
2.4%
627000010201300005 1
2.4%
627000010201300006 1
2.4%
627000010201300007 1
2.4%
627000010201300008 1
2.4%
627000010201300010 1
2.4%
627000010201300011 1
2.4%
627000010201300012 1
2.4%
ValueCountFrequency (%)
627000010202200001 1
2.4%
627000010202100007 1
2.4%
627000010202100006 1
2.4%
627000010202100005 1
2.4%
627000010202100004 1
2.4%
627000010202100003 1
2.4%
627000010202100002 1
2.4%
627000010202100001 1
2.4%
627000010202000004 1
2.4%
627000010202000003 1
2.4%

인허가일자
Real number (ℝ)

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20193477
Minimum20131008
Maximum20220228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:07:54.970973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131008
5-th percentile20131557
Q120180995
median20200756
Q320210990
95-th percentile20220225
Maximum20220228
Range89220
Interquartile range (IQR)29995.25

Descriptive statistics

Standard deviation26636.096
Coefficient of variation (CV)0.0013190446
Kurtosis0.55716008
Mean20193477
Median Absolute Deviation (MAD)19371.5
Skewness-1.1539518
Sum8.4812601 × 108
Variance7.0948159 × 108
MonotonicityNot monotonic
2023-12-11T03:07:55.201440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20131107 2
 
4.8%
20220228 2
 
4.8%
20210813 2
 
4.8%
20220128 2
 
4.8%
20181228 2
 
4.8%
20200121 1
 
2.4%
20180917 1
 
2.4%
20190510 1
 
2.4%
20190827 1
 
2.4%
20211201 1
 
2.4%
Other values (27) 27
64.3%
ValueCountFrequency (%)
20131008 1
2.4%
20131107 2
4.8%
20140115 1
2.4%
20140912 1
2.4%
20170707 1
2.4%
20170727 1
2.4%
20170829 1
2.4%
20180302 1
2.4%
20180629 1
2.4%
20180917 1
2.4%
ValueCountFrequency (%)
20220228 2
4.8%
20220225 1
2.4%
20220218 1
2.4%
20220214 1
2.4%
20220208 1
2.4%
20220203 1
2.4%
20220128 2
4.8%
20211201 1
2.4%
20211018 1
2.4%
20210906 1
2.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
23 
1
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 23
54.8%
1 19
45.2%

Length

2023-12-11T03:07:55.391213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:55.576825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
54.8%
1 19
45.2%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
23 
영업/정상
19 

Length

Max length5
Median length2
Mean length3.3571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
54.8%
영업/정상 19
45.2%

Length

2023-12-11T03:07:55.803547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:55.996866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
54.8%
영업/정상 19
45.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
Q
23 
N
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Q 23
54.8%
N 19
45.2%

Length

2023-12-11T03:07:56.196003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:56.391387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q 23
54.8%
n 19
45.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
23 
신규
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
54.8%
신규 19
45.2%

Length

2023-12-11T03:07:56.587692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:07:56.780983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
54.8%
신규 19
45.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing21
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20187865
Minimum20131008
Maximum20220216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:07:56.991518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131008
5-th percentile20140424
Q120181020
median20190827
Q320210503
95-th percentile20220216
Maximum20220216
Range89208
Interquartile range (IQR)29483

Descriptive statistics

Standard deviation27502.954
Coefficient of variation (CV)0.0013623508
Kurtosis-0.095274017
Mean20187865
Median Absolute Deviation (MAD)19491
Skewness-0.97424654
Sum4.2394517 × 108
Variance7.564125 × 108
MonotonicityNot monotonic
2023-12-11T03:07:57.263232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20190827 2
 
4.8%
20220216 2
 
4.8%
20141226 1
 
2.4%
20181002 1
 
2.4%
20200821 1
 
2.4%
20181213 1
 
2.4%
20181020 1
 
2.4%
20210318 1
 
2.4%
20211029 1
 
2.4%
20210503 1
 
2.4%
Other values (9) 9
21.4%
(Missing) 21
50.0%
ValueCountFrequency (%)
20131008 1
2.4%
20140424 1
2.4%
20140509 1
2.4%
20141226 1
2.4%
20181002 1
2.4%
20181020 1
2.4%
20181213 1
2.4%
20190212 1
2.4%
20190521 1
2.4%
20190718 1
2.4%
ValueCountFrequency (%)
20220216 2
4.8%
20211201 1
2.4%
20211029 1
2.4%
20211027 1
2.4%
20210503 1
2.4%
20210318 1
2.4%
20200821 1
2.4%
20200330 1
2.4%
20190827 2
4.8%
20190718 1
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)69.4%
Missing6
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean446909.67
Minimum41028
Maximum711845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:07:57.476416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41380.25
Q142106
median703829
Q3703830.75
95-th percentile706662
Maximum711845
Range670817
Interquartile range (IQR)661724.75

Descriptive statistics

Standard deviation327576.43
Coefficient of variation (CV)0.7329813
Kurtosis-1.8813114
Mean446909.67
Median Absolute Deviation (MAD)1106
Skewness-0.47580516
Sum16088748
Variance1.0730632 × 1011
MonotonicityNot monotonic
2023-12-11T03:07:57.696444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
703830 7
16.7%
703829 3
 
7.1%
702817 2
 
4.8%
703834 2
 
4.8%
43008 2
 
4.8%
704932 1
 
2.4%
704938 1
 
2.4%
703839 1
 
2.4%
41480 1
 
2.4%
41081 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 6
 
14.3%
ValueCountFrequency (%)
41028 1
2.4%
41081 1
2.4%
41480 1
2.4%
41550 1
2.4%
41701 1
2.4%
41702 1
2.4%
41841 1
2.4%
41845 1
2.4%
41956 1
2.4%
42156 1
2.4%
ValueCountFrequency (%)
711845 1
 
2.4%
711834 1
 
2.4%
704938 1
 
2.4%
704932 1
 
2.4%
704919 1
 
2.4%
703839 1
 
2.4%
703834 2
 
4.8%
703833 1
 
2.4%
703830 7
16.7%
703829 3
7.1%

소재지전체주소
Text

MISSING 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Memory size468.0 B
2023-12-11T03:07:58.146497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length28
Mean length22.947368
Min length18

Characters and Unicode

Total characters872
Distinct characters67
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

Unique24 ?
Unique (%)63.2%

Sample

1st row대구광역시 서구 이현동 44번지 110호
2nd row대구광역시 달성군 구지면 응암리 1278-10
3rd row대구광역시 달서구 죽전동 372번지
4th row대구광역시 달서구 신당동 1320번지 2호 이앤씨이노비즈타워 609호
5th row대구광역시 수성구 중동 584-1
ValueCountFrequency (%)
대구광역시 38
21.0%
서구 19
 
10.5%
이현동 10
 
5.5%
달성군 6
 
3.3%
북구 5
 
2.8%
중리동 4
 
2.2%
42번지 4
 
2.2%
달서구 4
 
2.2%
응암리 3
 
1.7%
구지면 3
 
1.7%
Other values (67) 85
47.0%
2023-12-11T03:07:58.835869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
20.5%
구 73
 
8.4%
1 43
 
4.9%
대 40
 
4.6%
시 38
 
4.4%
역 38
 
4.4%
광 38
 
4.4%
동 33
 
3.8%
지 26
 
3.0%
4 26
 
3.0%
Other values (57) 338
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
55.7%
Decimal Number 192
 
22.0%
Space Separator 179
 
20.5%
Dash Punctuation 15
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 73
15.0%
대 40
 
8.2%
시 38
 
7.8%
역 38
 
7.8%
광 38
 
7.8%
동 33
 
6.8%
지 26
 
5.3%
서 24
 
4.9%
번 23
 
4.7%
호 21
 
4.3%
Other values (45) 132
27.2%
Decimal Number
ValueCountFrequency (%)
1 43
22.4%
4 26
13.5%
0 25
13.0%
2 25
13.0%
6 15
 
7.8%
5 15
 
7.8%
7 14
 
7.3%
9 10
 
5.2%
3 10
 
5.2%
8 9
 
4.7%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
55.7%
Common 386
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 73
15.0%
대 40
 
8.2%
시 38
 
7.8%
역 38
 
7.8%
광 38
 
7.8%
동 33
 
6.8%
지 26
 
5.3%
서 24
 
4.9%
번 23
 
4.7%
호 21
 
4.3%
Other values (45) 132
27.2%
Common
ValueCountFrequency (%)
179
46.4%
1 43
 
11.1%
4 26
 
6.7%
0 25
 
6.5%
2 25
 
6.5%
6 15
 
3.9%
- 15
 
3.9%
5 15
 
3.9%
7 14
 
3.6%
9 10
 
2.6%
Other values (2) 19
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
55.7%
ASCII 386
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
46.4%
1 43
 
11.1%
4 26
 
6.7%
0 25
 
6.5%
2 25
 
6.5%
6 15
 
3.9%
- 15
 
3.9%
5 15
 
3.9%
7 14
 
3.6%
9 10
 
2.6%
Other values (2) 19
 
4.9%
Hangul
ValueCountFrequency (%)
구 73
15.0%
대 40
 
8.2%
시 38
 
7.8%
역 38
 
7.8%
광 38
 
7.8%
동 33
 
6.8%
지 26
 
5.3%
서 24
 
4.9%
번 23
 
4.7%
호 21
 
4.3%
Other values (45) 132
27.2%

도로명전체주소
Text

Distinct34
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:07:59.394446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length25.952381
Min length20

Characters and Unicode

Total characters1090
Distinct characters97
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

Unique28 ?
Unique (%)66.7%

Sample

1st row대구광역시 서구 국채보상로19길 15 (이현동)
2nd row대구광역시 달성군 구지면 국가산단대로46길 63
3rd row대구광역시 달서구 평리로 92 (죽전동)
4th row대구광역시 달서구 달서대로 559, 609호 (신당동,이앤씨이노비즈타워)
5th row대구광역시 수성구 청수로 10, 3층 (중동)
ValueCountFrequency (%)
대구광역시 42
 
19.1%
서구 20
 
9.1%
이현동 10
 
4.5%
달성군 7
 
3.2%
달서구 5
 
2.3%
북구 5
 
2.3%
중리동 4
 
1.8%
24 3
 
1.4%
평리동 3
 
1.4%
와룡로87길 3
 
1.4%
Other values (94) 118
53.6%
2023-12-11T03:08:00.249563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
 
16.3%
구 83
 
7.6%
대 53
 
4.9%
광 42
 
3.9%
역 42
 
3.9%
시 42
 
3.9%
로 41
 
3.8%
동 38
 
3.5%
1 35
 
3.2%
) 35
 
3.2%
Other values (87) 501
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
59.6%
Space Separator 178
 
16.3%
Decimal Number 172
 
15.8%
Close Punctuation 35
 
3.2%
Open Punctuation 35
 
3.2%
Other Punctuation 10
 
0.9%
Dash Punctuation 7
 
0.6%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 83
 
12.8%
대 53
 
8.2%
광 42
 
6.5%
역 42
 
6.5%
시 42
 
6.5%
로 41
 
6.3%
동 38
 
5.8%
서 30
 
4.6%
길 28
 
4.3%
달 17
 
2.6%
Other values (69) 234
36.0%
Decimal Number
ValueCountFrequency (%)
1 35
20.3%
2 30
17.4%
3 19
11.0%
5 18
10.5%
6 16
9.3%
4 15
8.7%
7 13
 
7.6%
9 12
 
7.0%
0 9
 
5.2%
8 5
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
D 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
59.6%
Common 437
40.1%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 83
 
12.8%
대 53
 
8.2%
광 42
 
6.5%
역 42
 
6.5%
시 42
 
6.5%
로 41
 
6.3%
동 38
 
5.8%
서 30
 
4.6%
길 28
 
4.3%
달 17
 
2.6%
Other values (69) 234
36.0%
Common
ValueCountFrequency (%)
178
40.7%
1 35
 
8.0%
) 35
 
8.0%
( 35
 
8.0%
2 30
 
6.9%
3 19
 
4.3%
5 18
 
4.1%
6 16
 
3.7%
4 15
 
3.4%
7 13
 
3.0%
Other values (5) 43
 
9.8%
Latin
ValueCountFrequency (%)
C 1
33.3%
D 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
59.6%
ASCII 440
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
40.5%
1 35
 
8.0%
) 35
 
8.0%
( 35
 
8.0%
2 30
 
6.8%
3 19
 
4.3%
5 18
 
4.1%
6 16
 
3.6%
4 15
 
3.4%
7 13
 
3.0%
Other values (8) 46
 
10.5%
Hangul
ValueCountFrequency (%)
구 83
 
12.8%
대 53
 
8.2%
광 42
 
6.5%
역 42
 
6.5%
시 42
 
6.5%
로 41
 
6.3%
동 38
 
5.8%
서 30
 
4.6%
길 28
 
4.3%
달 17
 
2.6%
Other values (69) 234
36.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)72.5%
Missing2
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean423210.9
Minimum41028
Maximum711845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:00.510863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41460.05
Q142106
median703323
Q3703830.75
95-th percentile711821.65
Maximum711845
Range670817
Interquartile range (IQR)661724.75

Descriptive statistics

Standard deviation331853.2
Coefficient of variation (CV)0.78413197
Kurtosis-2.00328
Mean423210.9
Median Absolute Deviation (MAD)5489.5
Skewness-0.31526183
Sum16928436
Variance1.1012654 × 1011
MonotonicityNot monotonic
2023-12-11T03:08:00.746969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
703830 7
 
16.7%
703829 3
 
7.1%
702817 2
 
4.8%
703834 2
 
4.8%
43008 2
 
4.8%
705804 1
 
2.4%
41956 1
 
2.4%
703839 1
 
2.4%
42612 1
 
2.4%
41480 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 2
 
4.8%
ValueCountFrequency (%)
41028 1
2.4%
41081 1
2.4%
41480 1
2.4%
41550 1
2.4%
41701 1
2.4%
41702 1
2.4%
41756 1
2.4%
41841 1
2.4%
41845 1
2.4%
41956 1
2.4%
ValueCountFrequency (%)
711845 1
 
2.4%
711834 1
 
2.4%
711821 1
 
2.4%
705804 1
 
2.4%
704938 1
 
2.4%
704919 1
 
2.4%
703839 1
 
2.4%
703834 2
 
4.8%
703833 1
 
2.4%
703830 7
16.7%

사업장명
Text

Distinct35
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:08:01.142534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.8333333
Min length4

Characters and Unicode

Total characters329
Distinct characters73
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

Unique30 ?
Unique (%)71.4%

Sample

1st row에이치디이엔씨(주)
2nd row(주)지이테크
3rd row대동환경측정(주)
4th row(주)대일환경기술
5th row기림환경산업(주)
ValueCountFrequency (%)
국일공해측정(주 3
 
7.0%
주)신라엔텍 3
 
7.0%
주)지이테크 2
 
4.7%
대명환경화학 2
 
4.7%
주)한국이앤씨 2
 
4.7%
대한환경 1
 
2.3%
국일이앤씨 1
 
2.3%
현대공해측정(주 1
 
2.3%
주)삼안환경화학측정 1
 
2.3%
주)신화엔바텍 1
 
2.3%
Other values (26) 26
60.5%
2023-12-11T03:08:01.772307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
 
10.0%
( 32
 
9.7%
) 32
 
9.7%
경 19
 
5.8%
환 19
 
5.8%
이 12
 
3.6%
정 11
 
3.3%
대 11
 
3.3%
엔 11
 
3.3%
측 9
 
2.7%
Other values (63) 140
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
80.2%
Open Punctuation 32
 
9.7%
Close Punctuation 32
 
9.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
 
12.5%
경 19
 
7.2%
환 19
 
7.2%
이 12
 
4.5%
정 11
 
4.2%
대 11
 
4.2%
엔 11
 
4.2%
측 9
 
3.4%
일 8
 
3.0%
텍 7
 
2.7%
Other values (60) 124
47.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 264
80.2%
Common 65
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
 
12.5%
경 19
 
7.2%
환 19
 
7.2%
이 12
 
4.5%
정 11
 
4.2%
대 11
 
4.2%
엔 11
 
4.2%
측 9
 
3.4%
일 8
 
3.0%
텍 7
 
2.7%
Other values (60) 124
47.0%
Common
ValueCountFrequency (%)
( 32
49.2%
) 32
49.2%
1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
80.2%
ASCII 65
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
 
12.5%
경 19
 
7.2%
환 19
 
7.2%
이 12
 
4.5%
정 11
 
4.2%
대 11
 
4.2%
엔 11
 
4.2%
측 9
 
3.4%
일 8
 
3.0%
텍 7
 
2.7%
Other values (60) 124
47.0%
ASCII
ValueCountFrequency (%)
( 32
49.2%
) 32
49.2%
1
 
1.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0197268 × 1013
Minimum2.0131209 × 1013
Maximum2.0220228 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:02.456387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0131209 × 1013
5-th percentile2.0140534 × 1013
Q12.0190289 × 1013
median2.0205722 × 1013
Q32.0220122 × 1013
95-th percentile2.0220225 × 1013
Maximum2.0220228 × 1013
Range8.9019027 × 1010
Interquartile range (IQR)2.9832432 × 1010

Descriptive statistics

Standard deviation2.5093598 × 1010
Coefficient of variation (CV)0.0012424254
Kurtosis0.95365813
Mean2.0197268 × 1013
Median Absolute Deviation (MAD)1.4496475 × 1010
Skewness-1.2873062
Sum8.4828525 × 1014
Variance6.2968868 × 1020
MonotonicityNot monotonic
2023-12-11T03:08:02.749561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20210222135544 1
 
2.4%
20211028113438 1
 
2.4%
20140509132826 1
 
2.4%
20141016102703 1
 
2.4%
20190718160353 1
 
2.4%
20190212182027 1
 
2.4%
20190521151243 1
 
2.4%
20190827140200 1
 
2.4%
20220218083422 1
 
2.4%
20211201155916 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
20131209144245 1
2.4%
20140429111940 1
2.4%
20140509132826 1
2.4%
20141016102703 1
2.4%
20150119145633 1
2.4%
20180629102049 1
2.4%
20181002091950 1
2.4%
20181020134749 1
2.4%
20181220084754 1
2.4%
20181228162852 1
2.4%
ValueCountFrequency (%)
20220228171246 1
2.4%
20220228171231 1
2.4%
20220225094613 1
2.4%
20220218085516 1
2.4%
20220218083442 1
2.4%
20220218083422 1
2.4%
20220214104355 1
2.4%
20220208082749 1
2.4%
20220203153659 1
2.4%
20220128141424 1
2.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
U
27 
I
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 27
64.3%
I 15
35.7%

Length

2023-12-11T03:08:02.995410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:03.191800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 27
64.3%
i 15
35.7%

데이터갱신일자
Date

Distinct34
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2018-10-04 02:37:36
Maximum2022-03-02 02:40:00
2023-12-11T03:08:03.400214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:08:03.666043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)75.8%
Missing9
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean339655.01
Minimum326925.06
Maximum355172.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:03.887676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326925.06
5-th percentile333859.48
Q1338585.51
median339180
Q3340487.82
95-th percentile346389.72
Maximum355172.29
Range28247.232
Interquartile range (IQR)1902.3058

Descriptive statistics

Standard deviation4732.835
Coefficient of variation (CV)0.013934242
Kurtosis3.8841665
Mean339655.01
Median Absolute Deviation (MAD)828.78392
Skewness0.64302926
Sum11208615
Variance22399727
MonotonicityNot monotonic
2023-12-11T03:08:04.118633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
339211.707883 3
 
7.1%
338615.297418 3
 
7.1%
340487.8153 2
 
4.8%
340008.783916 2
 
4.8%
338570.751654 2
 
4.8%
339130.306851 2
 
4.8%
342283.311178 1
 
2.4%
338585.509487 1
 
2.4%
340371.264862 1
 
2.4%
335525.948847 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 9
21.4%
ValueCountFrequency (%)
326925.056114 1
 
2.4%
332716.873208 1
 
2.4%
334621.225167 1
 
2.4%
335023.196036 1
 
2.4%
335519.727648 1
 
2.4%
335525.948847 1
 
2.4%
338570.751654 2
4.8%
338585.509487 1
 
2.4%
338615.297418 3
7.1%
338677.427853 1
 
2.4%
ValueCountFrequency (%)
355172.287752 1
2.4%
348002.0 1
2.4%
345314.862155 1
2.4%
344912.358902 1
2.4%
344442.196016 1
2.4%
343333.798837 1
2.4%
342283.311178 1
2.4%
340487.8153 2
4.8%
340371.264862 1
2.4%
340008.783916 2
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)75.8%
Missing9
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean264161.58
Minimum255443.69
Maximum270010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:04.358006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum255443.69
5-th percentile259288.52
Q1262918.24
median264420.56
Q3265447.98
95-th percentile267410.87
Maximum270010
Range14566.306
Interquartile range (IQR)2529.7384

Descriptive statistics

Standard deviation2799.127
Coefficient of variation (CV)0.010596269
Kurtosis2.8117313
Mean264161.58
Median Absolute Deviation (MAD)1027.4275
Skewness-1.1003156
Sum8717332
Variance7835112
MonotonicityNot monotonic
2023-12-11T03:08:04.611728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
265438.542003 3
 
7.1%
264600.197895 3
 
7.1%
266848.895378 2
 
4.8%
265447.982846 2
 
4.8%
263466.863602 2
 
4.8%
264420.555301 2
 
4.8%
260627.073987 1
 
2.4%
264388.722685 1
 
2.4%
265362.721318 1
 
2.4%
262370.376561 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 9
21.4%
ValueCountFrequency (%)
255443.694382 1
2.4%
257280.684298 1
2.4%
260627.073987 1
2.4%
261271.159387 1
2.4%
262044.332358 1
2.4%
262291.965459 1
2.4%
262370.376561 1
2.4%
262913.12862 1
2.4%
262918.244449 1
2.4%
263466.863602 2
4.8%
ValueCountFrequency (%)
270010.0 1
 
2.4%
268253.830253 1
 
2.4%
266848.895378 2
4.8%
266830.060792 1
 
2.4%
266688.381145 1
 
2.4%
265519.905413 1
 
2.4%
265447.982846 2
4.8%
265438.542003 3
7.1%
265362.721318 1
 
2.4%
264600.197895 3
7.1%

실험실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)36.7%
Missing12
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean69.233
Minimum0
Maximum223
Zeros14
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:04.852714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71
Q390.3
95-th percentile217.15
Maximum223
Range223
Interquartile range (IQR)90.3

Descriptive statistics

Standard deviation80.905637
Coefficient of variation (CV)1.1685993
Kurtosis-0.61177367
Mean69.233
Median Absolute Deviation (MAD)71
Skewness0.86561152
Sum2076.99
Variance6545.7221
MonotonicityNot monotonic
2023-12-11T03:08:05.062624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 14
33.3%
75.0 3
 
7.1%
210.0 3
 
7.1%
71.0 2
 
4.8%
223.0 2
 
4.8%
74.9 1
 
2.4%
90.0 1
 
2.4%
133.2 1
 
2.4%
90.4 1
 
2.4%
173.49 1
 
2.4%
(Missing) 12
28.6%
ValueCountFrequency (%)
0.0 14
33.3%
71.0 2
 
4.8%
72.0 1
 
2.4%
74.9 1
 
2.4%
75.0 3
 
7.1%
90.0 1
 
2.4%
90.4 1
 
2.4%
133.2 1
 
2.4%
173.49 1
 
2.4%
210.0 3
 
7.1%
ValueCountFrequency (%)
223.0 2
4.8%
210.0 3
7.1%
173.49 1
 
2.4%
133.2 1
 
2.4%
90.4 1
 
2.4%
90.0 1
 
2.4%
75.0 3
7.1%
74.9 1
 
2.4%
72.0 1
 
2.4%
71.0 2
4.8%

사업장구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
환경관리대행기관
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경관리대행기관 42
100.0%

Length

2023-12-11T03:08:05.295498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:05.514524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경관리대행기관 42
100.0%

영업소면적
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
0.0
22 
<NA>
18 
116.0
 
1
29.39
 
1

Length

Max length5
Median length3
Mean length3.5238095
Min length3

Unique

Unique2 ?
Unique (%)4.8%

Sample

1st row<NA>
2nd row0.0
3rd row0.0
4th row<NA>
5th row116.0

Common Values

ValueCountFrequency (%)
0.0 22
52.4%
<NA> 18
42.9%
116.0 1
 
2.4%
29.39 1
 
2.4%

Length

2023-12-11T03:08:05.743560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:05.974095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 22
52.4%
na 18
42.9%
116.0 1
 
2.4%
29.39 1
 
2.4%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

실험실지역코드
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)52.9%
Missing25
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean2.8491342 × 109
Minimum2.7110157 × 109
Maximum4.7290111 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:06.175003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7110157 × 109
5-th percentile2.7158113 × 109
Q12.7170103 × 109
median2.7170106 × 109
Q32.7710256 × 109
95-th percentile3.1626326 × 109
Maximum4.7290111 × 109
Range2.0179954 × 109
Interquartile range (IQR)54015326

Descriptive statistics

Standard deviation4.8498592 × 108
Coefficient of variation (CV)0.17022221
Kurtosis16.907015
Mean2.8491342 × 109
Median Absolute Deviation (MAD)400
Skewness4.107277
Sum4.8435282 × 1010
Variance2.3521134 × 1017
MonotonicityNot monotonic
2023-12-11T03:08:06.438243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2771038022 3
 
7.1%
2717010600 3
 
7.1%
2717010300 3
 
7.1%
2717010200 2
 
4.8%
2729010800 2
 
4.8%
2711015700 1
 
2.4%
2771025626 1
 
2.4%
2717010500 1
 
2.4%
4729011100 1
 
2.4%
(Missing) 25
59.5%
ValueCountFrequency (%)
2711015700 1
 
2.4%
2717010200 2
4.8%
2717010300 3
7.1%
2717010500 1
 
2.4%
2717010600 3
7.1%
2729010800 2
4.8%
2771025626 1
 
2.4%
2771038022 3
7.1%
4729011100 1
 
2.4%
ValueCountFrequency (%)
4729011100 1
 
2.4%
2771038022 3
7.1%
2771025626 1
 
2.4%
2729010800 2
4.8%
2717010600 3
7.1%
2717010500 1
 
2.4%
2717010300 3
7.1%
2717010200 2
4.8%
2711015700 1
 
2.4%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)76.5%
Missing25
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean314614.71
Minimum38652
Maximum704938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:06.659759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38652
5-th percentile41091.2
Q141956
median43008
Q3703829
95-th percentile704058.8
Maximum704938
Range666286
Interquartile range (IQR)661873

Descriptive statistics

Standard deviation335802.73
Coefficient of variation (CV)1.067346
Kurtosis-2.1093591
Mean314614.71
Median Absolute Deviation (MAD)1307
Skewness0.39421683
Sum5348450
Variance1.1276348 × 1011
MonotonicityNot monotonic
2023-12-11T03:08:06.858943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
703829 3
 
7.1%
43008 2
 
4.8%
703834 2
 
4.8%
41956 1
 
2.4%
42930 1
 
2.4%
41702 1
 
2.4%
41701 1
 
2.4%
41845 1
 
2.4%
704938 1
 
2.4%
42703 1
 
2.4%
Other values (3) 3
 
7.1%
(Missing) 25
59.5%
ValueCountFrequency (%)
38652 1
 
2.4%
41701 1
 
2.4%
41702 1
 
2.4%
41845 1
 
2.4%
41956 1
 
2.4%
42703 1
 
2.4%
42930 1
 
2.4%
43008 2
4.8%
43013 1
 
2.4%
703829 3
7.1%
ValueCountFrequency (%)
704938 1
 
2.4%
703839 1
 
2.4%
703834 2
4.8%
703829 3
7.1%
43013 1
 
2.4%
43008 2
4.8%
42930 1
 
2.4%
42703 1
 
2.4%
41956 1
 
2.4%
41845 1
 
2.4%

실험실산
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
24 
0
10 
1
8 

Length

Max length4
Median length4
Mean length2.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
57.1%
0 10
23.8%
1 8
 
19.0%

Length

2023-12-11T03:08:07.121416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:07.343613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
57.1%
0 10
23.8%
1 8
 
19.0%

실험실번지
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)70.6%
Missing25
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean838.82353
Minimum82
Maximum2028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:07.541386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile146
Q1192
median567
Q31278
95-th percentile1833.6
Maximum2028
Range1946
Interquartile range (IQR)1086

Descriptive statistics

Standard deviation630.59766
Coefficient of variation (CV)0.75176439
Kurtosis-1.0246484
Mean838.82353
Median Absolute Deviation (MAD)405
Skewness0.51168015
Sum14260
Variance397653.4
MonotonicityNot monotonic
2023-12-11T03:08:07.769527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
192 3
 
7.1%
1278 2
 
4.8%
541 2
 
4.8%
567 2
 
4.8%
162 1
 
2.4%
1702 1
 
2.4%
1785 1
 
2.4%
2028 1
 
2.4%
1144 1
 
2.4%
1290 1
 
2.4%
Other values (2) 2
 
4.8%
(Missing) 25
59.5%
ValueCountFrequency (%)
82 1
 
2.4%
162 1
 
2.4%
192 3
7.1%
541 2
4.8%
567 2
4.8%
719 1
 
2.4%
1144 1
 
2.4%
1278 2
4.8%
1290 1
 
2.4%
1702 1
 
2.4%
ValueCountFrequency (%)
2028 1
 
2.4%
1785 1
 
2.4%
1702 1
 
2.4%
1290 1
 
2.4%
1278 2
4.8%
1144 1
 
2.4%
719 1
 
2.4%
567 2
4.8%
541 2
4.8%
192 3
7.1%

실험실호
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)60.0%
Missing27
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean12
Minimum0
Maximum56
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:07.981620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q15
median8
Q310
95-th percentile40.6
Maximum56
Range56
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.589624
Coefficient of variation (CV)1.215802
Kurtosis6.0303375
Mean12
Median Absolute Deviation (MAD)2
Skewness2.3983989
Sum180
Variance212.85714
MonotonicityNot monotonic
2023-12-11T03:08:08.165792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
10 4
 
9.5%
8 3
 
7.1%
1 2
 
4.8%
34 1
 
2.4%
7 1
 
2.4%
0 1
 
2.4%
56 1
 
2.4%
14 1
 
2.4%
3 1
 
2.4%
(Missing) 27
64.3%
ValueCountFrequency (%)
0 1
 
2.4%
1 2
4.8%
3 1
 
2.4%
7 1
 
2.4%
8 3
7.1%
10 4
9.5%
14 1
 
2.4%
34 1
 
2.4%
56 1
 
2.4%
ValueCountFrequency (%)
56 1
 
2.4%
34 1
 
2.4%
14 1
 
2.4%
10 4
9.5%
8 3
7.1%
7 1
 
2.4%
3 1
 
2.4%
1 2
4.8%
0 1
 
2.4%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

실험실특수주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing41
Missing (%)97.6%
Memory size468.0 B
2023-12-11T03:08:08.392110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row대천빌딩
ValueCountFrequency (%)
대천빌딩 1
100.0%
2023-12-11T03:08:08.837554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1
25.0%
천 1
25.0%
빌 1
25.0%
딩 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1
25.0%
천 1
25.0%
빌 1
25.0%
딩 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1
25.0%
천 1
25.0%
빌 1
25.0%
딩 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1
25.0%
천 1
25.0%
빌 1
25.0%
딩 1
25.0%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

실험실특수주소호
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
41 
402
 
1

Length

Max length4
Median length4
Mean length3.9761905
Min length3

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
97.6%
402 1
 
2.4%

Length

2023-12-11T03:08:09.081687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:09.299870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
97.6%
402 1
 
2.4%

실험실도로명주소시군구코드
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)26.1%
Missing19
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean28176.522
Minimum27110
Maximum47290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:09.491662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27110
5-th percentile27170
Q127170
median27170
Q327500
95-th percentile27710
Maximum47290
Range20180
Interquartile range (IQR)330

Descriptive statistics

Standard deviation4172.5244
Coefficient of variation (CV)0.14808515
Kurtosis22.850656
Mean28176.522
Median Absolute Deviation (MAD)0
Skewness4.7736557
Sum648060
Variance17409960
MonotonicityNot monotonic
2023-12-11T03:08:09.774655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
27170 12
28.6%
27710 5
 
11.9%
27290 3
 
7.1%
27110 1
 
2.4%
27200 1
 
2.4%
47290 1
 
2.4%
(Missing) 19
45.2%
ValueCountFrequency (%)
27110 1
 
2.4%
27170 12
28.6%
27200 1
 
2.4%
27290 3
 
7.1%
27710 5
11.9%
47290 1
 
2.4%
ValueCountFrequency (%)
47290 1
 
2.4%
27710 5
11.9%
27290 3
 
7.1%
27200 1
 
2.4%
27170 12
28.6%
27110 1
 
2.4%

실험실도로명주소읍면동코드
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)47.8%
Missing19
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean2.8176682 × 109
Minimum2.7110157 × 109
Maximum4.7290111 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:10.086980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7110157 × 109
5-th percentile2.7170102 × 109
Q12.7170104 × 109
median2.7170106 × 109
Q32.7500182 × 109
95-th percentile2.771038 × 109
Maximum4.7290111 × 109
Range2.0179954 × 109
Interquartile range (IQR)33007813

Descriptive statistics

Standard deviation4.172519 × 108
Coefficient of variation (CV)0.14808412
Kurtosis22.850525
Mean2.8176682 × 109
Median Absolute Deviation (MAD)400
Skewness4.7736364
Sum6.4806368 × 1010
Variance1.7409915 × 1017
MonotonicityNot monotonic
2023-12-11T03:08:10.344427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2717010600 6
 
14.3%
2771038022 3
 
7.1%
2729010800 3
 
7.1%
2717010300 3
 
7.1%
2717010200 2
 
4.8%
2711015700 1
 
2.4%
2720010300 1
 
2.4%
2771025626 1
 
2.4%
2717010500 1
 
2.4%
2771033000 1
 
2.4%
(Missing) 19
45.2%
ValueCountFrequency (%)
2711015700 1
 
2.4%
2717010200 2
 
4.8%
2717010300 3
7.1%
2717010500 1
 
2.4%
2717010600 6
14.3%
2720010300 1
 
2.4%
2729010800 3
7.1%
2771025626 1
 
2.4%
2771033000 1
 
2.4%
2771038022 3
7.1%
ValueCountFrequency (%)
4729011100 1
 
2.4%
2771038022 3
7.1%
2771033000 1
 
2.4%
2771025626 1
 
2.4%
2729010800 3
7.1%
2720010300 1
 
2.4%
2717010600 6
14.3%
2717010500 1
 
2.4%
2717010300 3
7.1%
2717010200 2
 
4.8%

실험실도로명주소읍면동구분
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
19 
1
18 
0
5 

Length

Max length4
Median length1
Mean length2.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
45.2%
1 18
42.9%
0 5
 
11.9%

Length

2023-12-11T03:08:10.638808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:10.901192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
45.2%
1 18
42.9%
0 5
 
11.9%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)65.2%
Missing19
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean3816055.7
Minimum2007002
Maximum4854696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:11.105828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007002
5-th percentile2007002
Q13143504
median4229173
Q34229318.5
95-th percentile4854695.5
Maximum4854696
Range2847694
Interquartile range (IQR)1085814.5

Descriptive statistics

Standard deviation900222.78
Coefficient of variation (CV)0.235904
Kurtosis-0.042110023
Mean3816055.7
Median Absolute Deviation (MAD)510081
Skewness-0.9661027
Sum87769280
Variance8.1040105 × 1011
MonotonicityNot monotonic
2023-12-11T03:08:11.410908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4229291 3
 
7.1%
4229173 3
 
7.1%
2007002 3
 
7.1%
4854696 2
 
4.8%
3143005 2
 
4.8%
4223092 1
 
2.4%
3144002 1
 
2.4%
3341004 1
 
2.4%
4229269 1
 
2.4%
4229264 1
 
2.4%
Other values (5) 5
 
11.9%
(Missing) 19
45.2%
ValueCountFrequency (%)
2007002 3
7.1%
3143005 2
4.8%
3143006 1
 
2.4%
3144002 1
 
2.4%
3341004 1
 
2.4%
4223092 1
 
2.4%
4229173 3
7.1%
4229264 1
 
2.4%
4229269 1
 
2.4%
4229291 3
7.1%
ValueCountFrequency (%)
4854696 2
4.8%
4854691 1
 
2.4%
4739254 1
 
2.4%
4244552 1
 
2.4%
4229346 1
 
2.4%
4229291 3
7.1%
4229269 1
 
2.4%
4229264 1
 
2.4%
4229173 3
7.1%
4223092 1
 
2.4%

실험실도로명특수주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing39
Missing (%)92.9%
Memory size468.0 B
2023-12-11T03:08:11.700256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length7.3333333
Min length4

Characters and Unicode

Total characters22
Distinct characters17
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

Unique3 ?
Unique (%)100.0%

Sample

1st row대천빌딩
2nd row제일환경측정(주)
3rd row(주)중앙환경기술
ValueCountFrequency (%)
대천빌딩 1
33.3%
제일환경측정(주 1
33.3%
주)중앙환경기술 1
33.3%
2023-12-11T03:08:12.280295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2
 
9.1%
) 2
 
9.1%
환 2
 
9.1%
경 2
 
9.1%
주 2
 
9.1%
대 1
 
4.5%
기 1
 
4.5%
앙 1
 
4.5%
중 1
 
4.5%
측 1
 
4.5%
Other values (7) 7
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
81.8%
Open Punctuation 2
 
9.1%
Close Punctuation 2
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 2
 
11.1%
경 2
 
11.1%
주 2
 
11.1%
대 1
 
5.6%
기 1
 
5.6%
앙 1
 
5.6%
중 1
 
5.6%
측 1
 
5.6%
정 1
 
5.6%
천 1
 
5.6%
Other values (5) 5
27.8%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
81.8%
Common 4
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 2
 
11.1%
경 2
 
11.1%
주 2
 
11.1%
대 1
 
5.6%
기 1
 
5.6%
앙 1
 
5.6%
중 1
 
5.6%
측 1
 
5.6%
정 1
 
5.6%
천 1
 
5.6%
Other values (5) 5
27.8%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
81.8%
ASCII 4
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%
Hangul
ValueCountFrequency (%)
환 2
 
11.1%
경 2
 
11.1%
주 2
 
11.1%
대 1
 
5.6%
기 1
 
5.6%
앙 1
 
5.6%
중 1
 
5.6%
측 1
 
5.6%
정 1
 
5.6%
천 1
 
5.6%
Other values (5) 5
27.8%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
23 
<NA>
19 

Length

Max length4
Median length1
Mean length2.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
54.8%
<NA> 19
45.2%

Length

2023-12-11T03:08:12.551937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:12.744836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
54.8%
na 19
45.2%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)69.6%
Missing19
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean211.26087
Minimum1
Maximum1222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:12.933475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q114
median45
Q3162.5
95-th percentile1221.9
Maximum1222
Range1221
Interquartile range (IQR)148.5

Descriptive statistics

Standard deviation404.88295
Coefficient of variation (CV)1.9165071
Kurtosis3.5362542
Mean211.26087
Median Absolute Deviation (MAD)36
Skewness2.2456246
Sum4859
Variance163930.2
MonotonicityNot monotonic
2023-12-11T03:08:13.185537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
24 3
 
7.1%
9 3
 
7.1%
165 2
 
4.8%
1222 2
 
4.8%
63 2
 
4.8%
15 1
 
2.4%
12 1
 
2.4%
32 1
 
2.4%
49 1
 
2.4%
160 1
 
2.4%
Other values (6) 6
 
14.3%
(Missing) 19
45.2%
ValueCountFrequency (%)
1 1
 
2.4%
9 3
7.1%
12 1
 
2.4%
13 1
 
2.4%
15 1
 
2.4%
24 3
7.1%
32 1
 
2.4%
45 1
 
2.4%
49 1
 
2.4%
63 2
4.8%
ValueCountFrequency (%)
1222 2
4.8%
1221 1
2.4%
230 1
2.4%
165 2
4.8%
160 1
2.4%
82 1
2.4%
63 2
4.8%
49 1
2.4%
45 1
2.4%
32 1
2.4%

실험실도로명주소건물부번호
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
29 
0
8 
7
3 
1
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.0952381
Min length1

Unique

Unique2 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
69.0%
0 8
 
19.0%
7 3
 
7.1%
1 1
 
2.4%
10 1
 
2.4%

Length

2023-12-11T03:08:13.424986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:13.668974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
69.0%
0 8
 
19.0%
7 3
 
7.1%
1 1
 
2.4%
10 1
 
2.4%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)73.9%
Missing19
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean387833.78
Minimum38652
Maximum711821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:08:13.894264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38652
5-th percentile41701.1
Q142657.5
median703829
Q3703832
95-th percentile705717.4
Maximum711821
Range673169
Interquartile range (IQR)661174.5

Descriptive statistics

Standard deviation338456.72
Coefficient of variation (CV)0.87268498
Kurtosis-2.1903355
Mean387833.78
Median Absolute Deviation (MAD)7992
Skewness-0.09317803
Sum8920177
Variance1.1455295 × 1011
MonotonicityNot monotonic
2023-12-11T03:08:14.154173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
703829 3
 
7.1%
703830 3
 
7.1%
703834 2
 
4.8%
43008 2
 
4.8%
42930 1
 
2.4%
41702 1
 
2.4%
41701 1
 
2.4%
41845 1
 
2.4%
705804 1
 
2.4%
704938 1
 
2.4%
Other values (7) 7
 
16.7%
(Missing) 19
45.2%
ValueCountFrequency (%)
38652 1
2.4%
41701 1
2.4%
41702 1
2.4%
41845 1
2.4%
41956 1
2.4%
42612 1
2.4%
42703 1
2.4%
42930 1
2.4%
43008 2
4.8%
43013 1
2.4%
ValueCountFrequency (%)
711821 1
 
2.4%
705804 1
 
2.4%
704938 1
 
2.4%
703839 1
 
2.4%
703834 2
4.8%
703830 3
7.1%
703829 3
7.1%
43013 1
 
2.4%
43008 2
4.8%
42930 1
 
2.4%

사업자등록번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호사업자등록번호
01환경관리대행기관09_30_15_P627000062700001020180000220210222<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>703830대구광역시 서구 이현동 44번지 110호대구광역시 서구 국채보상로19길 15 (이현동)703830에이치디이엔씨(주)20210222135544U2021-02-24 02:40:00.0<NA>339130.306851264420.55530171.0환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12환경관리대행기관09_30_15_P627000062700001020200000420210813<NA>3폐업Q폐업20220216<NA><NA><NA><NA><NA>43008대구광역시 달성군 구지면 응암리 1278-10대구광역시 달성군 구지면 국가산단대로46길 6343008(주)지이테크20220218083442U2022-02-20 02:40:00.0<NA><NA><NA>0.0환경관리대행기관0.0<NA>2771038022430080127810<NA><NA><NA><NA><NA>27710277103802204854696<NA>063043008<NA>
23환경관리대행기관09_30_15_P627000062700001020130001520220228<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>704932대구광역시 달서구 죽전동 372번지대구광역시 달서구 평리로 92 (죽전동)42627대동환경측정(주)20220228171246U2022-03-02 02:40:00.0<NA>338701.951391262918.24444974.9환경관리대행기관0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34환경관리대행기관09_30_15_P627000062700001020130001720180629<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>704919대구광역시 달서구 신당동 1320번지 2호 이앤씨이노비즈타워 609호대구광역시 달서구 달서대로 559, 609호 (신당동,이앤씨이노비즈타워)704919(주)대일환경기술20180629102049I2019-03-23 02:20:03.0<NA>334621.225167262044.332358<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45환경관리대행기관09_30_15_P627000062700001020190000320191007<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>42156대구광역시 수성구 중동 584-1대구광역시 수성구 청수로 10, 3층 (중동)42156기림환경산업(주)20191007110918U2019-10-09 02:40:00.0<NA>345314.862155261271.159387<NA>환경관리대행기관116.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56환경관리대행기관09_30_15_P627000062700001020190000520200204<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 중리동 1044-2대구광역시 서구 와룡로69길 34 (중리동)<NA>(주)티피엘환경20200204100314U2020-02-06 02:40:00.0<NA><NA><NA><NA>환경관리대행기관<NA><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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번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호사업자등록번호
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