Overview

Dataset statistics

Number of variables52
Number of observations36
Missing cells697
Missing cells (%)37.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.1 KiB
Average record size in memory458.7 B

Variable types

Numeric16
Categorical18
Unsupported12
Text5
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123163

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
사업장구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (58.2%)Imbalance
영업소면적 is highly imbalanced (61.4%)Imbalance
실험실지역코드 is highly imbalanced (51.9%)Imbalance
실험실특수주소호 is highly imbalanced (72.7%)Imbalance
인허가취소일자 has 36 (100.0%) missing valuesMissing
폐업일자 has 18 (50.0%) missing valuesMissing
휴업시작일자 has 36 (100.0%) missing valuesMissing
휴업종료일자 has 36 (100.0%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
소재지전화 has 36 (100.0%) missing valuesMissing
소재지면적 has 36 (100.0%) missing valuesMissing
소재지전체주소 has 28 (77.8%) missing valuesMissing
도로명우편번호 has 2 (5.6%) missing valuesMissing
업태구분명 has 36 (100.0%) missing valuesMissing
좌표정보(x) has 5 (13.9%) missing valuesMissing
좌표정보(y) has 5 (13.9%) missing valuesMissing
위탁업체명 has 36 (100.0%) missing valuesMissing
실험실우편번호 has 28 (77.8%) missing valuesMissing
실험실번지 has 28 (77.8%) missing valuesMissing
실험실호 has 28 (77.8%) missing valuesMissing
실험실통 has 36 (100.0%) missing valuesMissing
실험실반 has 36 (100.0%) missing valuesMissing
실험실특수주소 has 31 (86.1%) missing valuesMissing
실험실특수주소동 has 36 (100.0%) missing valuesMissing
실험실도로명주소시군구코드 has 12 (33.3%) missing valuesMissing
실험실도로명주소읍면동코드 has 12 (33.3%) missing valuesMissing
실험실도로명주소코드 has 12 (33.3%) missing valuesMissing
실험실도로명특수주소 has 32 (88.9%) missing valuesMissing
실험실도로명주소건물본번호 has 12 (33.3%) missing valuesMissing
실험실도로명주소우편번호 has 12 (33.3%) missing valuesMissing
Unnamed: 51 has 36 (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
Unnamed: 51 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실호 has 3 (8.3%) zerosZeros

Reproduction

Analysis started2024-04-16 13:38:20.493127
Analysis finished2024-04-16 13:38:20.985769
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:21.043998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2024-04-16T22:38:21.184756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
환경관리대행기관
36 

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 36
100.0%

Length

2024-04-16T22:38:21.305920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:21.392523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경관리대행기관 36
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
09_30_15_P
36 

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 36
100.0%

Length

2024-04-16T22:38:21.492612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:21.587405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_15_p 36
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
6260000
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 36
100.0%

Length

2024-04-16T22:38:21.675566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:21.767793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 36
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2600001 × 1017
Minimum6.2600001 × 1017
Maximum6.2600001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:21.872626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2600001 × 1017
5-th percentile6.2600001 × 1017
Q16.2600001 × 1017
median6.2600001 × 1017
Q36.2600001 × 1017
95-th percentile6.2600001 × 1017
Maximum6.2600001 × 1017
Range800000
Interquartile range (IQR)424960

Descriptive statistics

Standard deviation275857.77
Coefficient of variation (CV)4.4066735 × 10-13
Kurtosis-0.97293286
Mean6.2600001 × 1017
Median Absolute Deviation (MAD)0
Skewness0.81590727
Sum4.0892563 × 1018
Variance7.6097507 × 1010
MonotonicityNot monotonic
2024-04-16T22:38:21.994704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
626000010201300007 1
 
2.8%
626000010201900003 1
 
2.8%
626000010201300008 1
 
2.8%
626000010201300013 1
 
2.8%
626000010201300014 1
 
2.8%
626000010201300015 1
 
2.8%
626000010201300017 1
 
2.8%
626000010201300019 1
 
2.8%
626000010201500004 1
 
2.8%
626000010201300002 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
626000010201300001 1
2.8%
626000010201300002 1
2.8%
626000010201300003 1
2.8%
626000010201300004 1
2.8%
626000010201300005 1
2.8%
626000010201300006 1
2.8%
626000010201300007 1
2.8%
626000010201300008 1
2.8%
626000010201300009 1
2.8%
626000010201300010 1
2.8%
ValueCountFrequency (%)
626000010202100001 1
2.8%
626000010202000002 1
2.8%
626000010202000001 1
2.8%
626000010201900005 1
2.8%
626000010201900004 1
2.8%
626000010201900003 1
2.8%
626000010201900002 1
2.8%
626000010201900001 1
2.8%
626000010201800001 1
2.8%
626000010201700003 1
2.8%

인허가일자
Real number (ℝ)

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20183112
Minimum20130609
Maximum20210225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:22.133624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130609
5-th percentile20138344
Q120160464
median20190219
Q320201216
95-th percentile20210219
Maximum20210225
Range79616
Interquartile range (IQR)40751.25

Descriptive statistics

Standard deviation25313.588
Coefficient of variation (CV)0.0012541965
Kurtosis-0.76533154
Mean20183112
Median Absolute Deviation (MAD)19597.5
Skewness-0.69960999
Sum7.2659202 × 108
Variance6.4077775 × 108
MonotonicityNot monotonic
2024-04-16T22:38:22.271076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20170912 2
 
5.6%
20200916 1
 
2.8%
20141021 1
 
2.8%
20131203 1
 
2.8%
20160325 1
 
2.8%
20160509 1
 
2.8%
20150320 1
 
2.8%
20130609 1
 
2.8%
20140724 1
 
2.8%
20151112 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
20130609 1
2.8%
20131203 1
2.8%
20140724 1
2.8%
20141021 1
2.8%
20150320 1
2.8%
20150827 1
2.8%
20151112 1
2.8%
20160325 1
2.8%
20160331 1
2.8%
20160509 1
2.8%
ValueCountFrequency (%)
20210225 1
2.8%
20210220 1
2.8%
20210219 1
2.8%
20210209 1
2.8%
20210205 1
2.8%
20210204 1
2.8%
20210114 1
2.8%
20210107 1
2.8%
20201230 1
2.8%
20201211 1
2.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
3
19 
1
17 

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 19
52.8%
1 17
47.2%

Length

2024-04-16T22:38:22.394488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:22.487291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
52.8%
1 17
47.2%

영업상태명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
19 
영업/정상
17 

Length

Max length5
Median length2
Mean length3.4166667
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 19
52.8%
영업/정상 17
47.2%

Length

2024-04-16T22:38:22.598360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:22.716269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
52.8%
영업/정상 17
47.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
Q
19 
N
17 

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 19
52.8%
N 17
47.2%

Length

2024-04-16T22:38:22.805477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:22.904356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q 19
52.8%
n 17
47.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
19 
신규
17 

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 19
52.8%
신규 17
47.2%

Length

2024-04-16T22:38:23.007505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:23.125493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
52.8%
신규 17
47.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing18
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20170220
Minimum20131202
Maximum20200703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:23.220073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131202
5-th percentile20139296
Q120160432
median20175813
Q320181090
95-th percentile20191864
Maximum20200703
Range69501
Interquartile range (IQR)20658.25

Descriptive statistics

Standard deviation19705.16
Coefficient of variation (CV)0.00097694327
Kurtosis-0.62201352
Mean20170220
Median Absolute Deviation (MAD)14448.5
Skewness-0.52664941
Sum3.6306395 × 108
Variance3.8829334 × 108
MonotonicityNot monotonic
2024-04-16T22:38:23.323322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20181024 4
 
11.1%
20190219 2
 
5.6%
20190304 1
 
2.8%
20131202 1
 
2.8%
20170602 1
 
2.8%
20170329 1
 
2.8%
20161201 1
 
2.8%
20150901 1
 
2.8%
20140724 1
 
2.8%
20141021 1
 
2.8%
Other values (4) 4
 
11.1%
(Missing) 18
50.0%
ValueCountFrequency (%)
20131202 1
 
2.8%
20140724 1
 
2.8%
20141021 1
 
2.8%
20150901 1
 
2.8%
20160204 1
 
2.8%
20161115 1
 
2.8%
20161201 1
 
2.8%
20170329 1
 
2.8%
20170602 1
 
2.8%
20181024 4
11.1%
ValueCountFrequency (%)
20200703 1
 
2.8%
20190304 1
 
2.8%
20190219 2
5.6%
20181112 1
 
2.8%
20181024 4
11.1%
20170602 1
 
2.8%
20170329 1
 
2.8%
20161201 1
 
2.8%
20161115 1
 
2.8%
20160204 1
 
2.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
46033
 
2
46916
 
2
46917
 
1
46228
 
1

Length

Max length5
Median length4
Mean length4.1666667
Min length4

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row<NA>
2nd row46033
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
46033 2
 
5.6%
46916 2
 
5.6%
46917 1
 
2.8%
46228 1
 
2.8%

Length

2024-04-16T22:38:23.442168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:23.542541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
46033 2
 
5.6%
46916 2
 
5.6%
46917 1
 
2.8%
46228 1
 
2.8%

소재지전체주소
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing28
Missing (%)77.8%
Memory size420.0 B
2024-04-16T22:38:23.694599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27.5
Mean length25.125
Min length19

Characters and Unicode

Total characters201
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 장안읍 좌천리 520번지 대성전기철물
2nd row부산광역시 기장군 장안읍 좌천리 286-1 좌천슈퍼
3rd row부산광역시 사상구 모라동 283-11
4th row부산광역시 금정구 구서동 1009-4
5th row부산광역시 동래구 사직동 137-5
ValueCountFrequency (%)
부산광역시 8
20.0%
장안읍 3
 
7.5%
좌천리 3
 
7.5%
사상구 3
 
7.5%
모라동 3
 
7.5%
기장군 3
 
7.5%
520번지 2
 
5.0%
282-6 2
 
5.0%
동래구 1
 
2.5%
101호 1
 
2.5%
Other values (11) 11
27.5%
2024-04-16T22:38:23.984256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
15.9%
산 9
 
4.5%
부 8
 
4.0%
2 8
 
4.0%
광 8
 
4.0%
역 8
 
4.0%
시 8
 
4.0%
1 7
 
3.5%
동 6
 
3.0%
장 6
 
3.0%
Other values (45) 101
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
62.7%
Decimal Number 35
 
17.4%
Space Separator 32
 
15.9%
Dash Punctuation 6
 
3.0%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 9
 
7.1%
부 8
 
6.3%
광 8
 
6.3%
역 8
 
6.3%
시 8
 
6.3%
동 6
 
4.8%
장 6
 
4.8%
구 6
 
4.8%
사 5
 
4.0%
좌 4
 
3.2%
Other values (31) 58
46.0%
Decimal Number
ValueCountFrequency (%)
2 8
22.9%
1 7
20.0%
0 5
14.3%
8 4
11.4%
6 3
 
8.6%
5 3
 
8.6%
3 2
 
5.7%
7 1
 
2.9%
4 1
 
2.9%
9 1
 
2.9%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
62.7%
Common 75
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 9
 
7.1%
부 8
 
6.3%
광 8
 
6.3%
역 8
 
6.3%
시 8
 
6.3%
동 6
 
4.8%
장 6
 
4.8%
구 6
 
4.8%
사 5
 
4.0%
좌 4
 
3.2%
Other values (31) 58
46.0%
Common
ValueCountFrequency (%)
32
42.7%
2 8
 
10.7%
1 7
 
9.3%
- 6
 
8.0%
0 5
 
6.7%
8 4
 
5.3%
6 3
 
4.0%
5 3
 
4.0%
3 2
 
2.7%
( 1
 
1.3%
Other values (4) 4
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
62.7%
ASCII 75
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
42.7%
2 8
 
10.7%
1 7
 
9.3%
- 6
 
8.0%
0 5
 
6.7%
8 4
 
5.3%
6 3
 
4.0%
5 3
 
4.0%
3 2
 
2.7%
( 1
 
1.3%
Other values (4) 4
 
5.3%
Hangul
ValueCountFrequency (%)
산 9
 
7.1%
부 8
 
6.3%
광 8
 
6.3%
역 8
 
6.3%
시 8
 
6.3%
동 6
 
4.8%
장 6
 
4.8%
구 6
 
4.8%
사 5
 
4.0%
좌 4
 
3.2%
Other values (31) 58
46.0%

도로명전체주소
Text

Distinct31
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-16T22:38:24.222171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length27.527778
Min length19

Characters and Unicode

Total characters991
Distinct characters114
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)75.0%

Sample

1st row부산광역시 사상구 백양대로 539-35 (주례동)
2nd row부산광역시 기장군 장안읍 좌천로 40, 대성전기철물
3rd row부산광역시 동래구 여고로 61 (사직동)
4th row부산광역시 금정구 동부곡로23번길 30 (부곡동)
5th row부산광역시 북구 만덕2로17번길 1, 402호 (만덕동)
ValueCountFrequency (%)
부산광역시 36
 
18.2%
사상구 9
 
4.5%
기장군 6
 
3.0%
동래구 5
 
2.5%
금정구 5
 
2.5%
장안읍 5
 
2.5%
3층 4
 
2.0%
1층 3
 
1.5%
감전동 3
 
1.5%
37 3
 
1.5%
Other values (84) 119
60.1%
2024-04-16T22:38:24.587412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
16.3%
산 41
 
4.1%
부 40
 
4.0%
동 37
 
3.7%
광 36
 
3.6%
역 36
 
3.6%
시 36
 
3.6%
로 35
 
3.5%
1 31
 
3.1%
구 31
 
3.1%
Other values (104) 506
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
60.2%
Space Separator 162
 
16.3%
Decimal Number 152
 
15.3%
Open Punctuation 30
 
3.0%
Close Punctuation 30
 
3.0%
Other Punctuation 18
 
1.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 41
 
6.9%
부 40
 
6.7%
동 37
 
6.2%
광 36
 
6.0%
역 36
 
6.0%
시 36
 
6.0%
로 35
 
5.9%
구 31
 
5.2%
사 19
 
3.2%
길 16
 
2.7%
Other values (89) 270
45.2%
Decimal Number
ValueCountFrequency (%)
1 31
20.4%
3 30
19.7%
2 22
14.5%
0 14
9.2%
5 13
8.6%
9 10
 
6.6%
4 10
 
6.6%
7 10
 
6.6%
8 7
 
4.6%
6 5
 
3.3%
Space Separator
ValueCountFrequency (%)
162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 597
60.2%
Common 394
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 41
 
6.9%
부 40
 
6.7%
동 37
 
6.2%
광 36
 
6.0%
역 36
 
6.0%
시 36
 
6.0%
로 35
 
5.9%
구 31
 
5.2%
사 19
 
3.2%
길 16
 
2.7%
Other values (89) 270
45.2%
Common
ValueCountFrequency (%)
162
41.1%
1 31
 
7.9%
( 30
 
7.6%
3 30
 
7.6%
) 30
 
7.6%
2 22
 
5.6%
, 18
 
4.6%
0 14
 
3.6%
5 13
 
3.3%
9 10
 
2.5%
Other values (5) 34
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
60.2%
ASCII 394
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
41.1%
1 31
 
7.9%
( 30
 
7.6%
3 30
 
7.6%
) 30
 
7.6%
2 22
 
5.6%
, 18
 
4.6%
0 14
 
3.6%
5 13
 
3.3%
9 10
 
2.5%
Other values (5) 34
 
8.6%
Hangul
ValueCountFrequency (%)
산 41
 
6.9%
부 40
 
6.7%
동 37
 
6.2%
광 36
 
6.0%
역 36
 
6.0%
시 36
 
6.0%
로 35
 
5.9%
구 31
 
5.2%
사 19
 
3.2%
길 16
 
2.7%
Other values (89) 270
45.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)70.6%
Missing2
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean329425.21
Minimum46033
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:24.706062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46033
5-th percentile46033
Q146916.25
median324763
Q3609843
95-th percentile619205.15
Maximum619952
Range573919
Interquartile range (IQR)562926.75

Descriptive statistics

Standard deviation286592.36
Coefficient of variation (CV)0.86997703
Kurtosis-2.1279445
Mean329425.21
Median Absolute Deviation (MAD)278730
Skewness0.00069253105
Sum11200457
Variance8.2135182 × 1010
MonotonicityNot monotonic
2024-04-16T22:38:24.805119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
46980 3
 
8.3%
46033 3
 
8.3%
609843 2
 
5.6%
49514 2
 
5.6%
46607 2
 
5.6%
46916 2
 
5.6%
619952 2
 
5.6%
607840 2
 
5.6%
46700 1
 
2.8%
47537 1
 
2.8%
Other values (14) 14
38.9%
(Missing) 2
 
5.6%
ValueCountFrequency (%)
46033 3
8.3%
46228 1
 
2.8%
46607 2
5.6%
46700 1
 
2.8%
46916 2
5.6%
46917 1
 
2.8%
46980 3
8.3%
47537 1
 
2.8%
48409 1
 
2.8%
49514 2
5.6%
ValueCountFrequency (%)
619952 2
5.6%
618803 1
2.8%
617836 1
2.8%
617833 1
2.8%
617807 1
2.8%
614866 1
2.8%
609852 1
2.8%
609843 2
5.6%
609822 1
2.8%
607840 2
5.6%

사업장명
Text

Distinct27
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-16T22:38:24.997014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.75
Min length4

Characters and Unicode

Total characters279
Distinct characters73
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

Unique20 ?
Unique (%)55.6%

Sample

1st row(주)영동엔지니어링
2nd row동부환경
3rd row(주)한서엔텍
4th row(주)한신환경
5th row세영환경산업(주)
ValueCountFrequency (%)
초석환경기술단 3
 
8.3%
동부환경 3
 
8.3%
주)홍익환경 2
 
5.6%
세영환경산업(주 2
 
5.6%
천호환경(주 2
 
5.6%
금호환경(주 2
 
5.6%
주)대한환경이엔지 2
 
5.6%
주)영동엔지니어링 1
 
2.8%
주)태진엔지니어링 1
 
2.8%
주)고성인텍 1
 
2.8%
Other values (17) 17
47.2%
2024-04-16T22:38:25.304184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 29
 
10.4%
주 29
 
10.4%
) 29
 
10.4%
환 24
 
8.6%
경 24
 
8.6%
이 8
 
2.9%
기 6
 
2.2%
술 6
 
2.2%
동 6
 
2.2%
지 6
 
2.2%
Other values (63) 112
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
79.2%
Open Punctuation 29
 
10.4%
Close Punctuation 29
 
10.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
13.1%
환 24
 
10.9%
경 24
 
10.9%
이 8
 
3.6%
기 6
 
2.7%
술 6
 
2.7%
동 6
 
2.7%
지 6
 
2.7%
엔 6
 
2.7%
영 5
 
2.3%
Other values (61) 101
45.7%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
79.2%
Common 58
 
20.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
13.1%
환 24
 
10.9%
경 24
 
10.9%
이 8
 
3.6%
기 6
 
2.7%
술 6
 
2.7%
동 6
 
2.7%
지 6
 
2.7%
엔 6
 
2.7%
영 5
 
2.3%
Other values (61) 101
45.7%
Common
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
79.2%
ASCII 58
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%
Hangul
ValueCountFrequency (%)
주 29
 
13.1%
환 24
 
10.9%
경 24
 
10.9%
이 8
 
3.6%
기 6
 
2.7%
술 6
 
2.7%
동 6
 
2.7%
지 6
 
2.7%
엔 6
 
2.7%
영 5
 
2.3%
Other values (61) 101
45.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0188089 × 1013
Minimum2.0140724 × 1013
Maximum2.0210225 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:25.424281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0140724 × 1013
5-th percentile2.0151029 × 1013
Q12.0178409 × 1013
median2.0190262 × 1013
Q32.0201216 × 1013
95-th percentile2.0210219 × 1013
Maximum2.0210225 × 1013
Range6.9500956 × 1010
Interquartile range (IQR)2.2806529 × 1010

Descriptive statistics

Standard deviation1.9635962 × 1010
Coefficient of variation (CV)0.00097265087
Kurtosis-0.22563591
Mean2.0188089 × 1013
Median Absolute Deviation (MAD)1.0959043 × 1010
Skewness-0.74616254
Sum7.267712 × 1014
Variance3.85571 × 1020
MonotonicityNot monotonic
2024-04-16T22:38:25.769021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20200916113229 1
 
2.8%
20190219111730 1
 
2.8%
20170613103919 1
 
2.8%
20170329160125 1
 
2.8%
20170206190058 1
 
2.8%
20151202164608 1
 
2.8%
20140724144403 1
 
2.8%
20151202164711 1
 
2.8%
20170206185824 1
 
2.8%
20170206190214 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
20140724144403 1
2.8%
20150511092306 1
2.8%
20151202164608 1
2.8%
20151202164711 1
2.8%
20170206185824 1
2.8%
20170206190058 1
2.8%
20170206190214 1
2.8%
20170329160125 1
2.8%
20170613103919 1
2.8%
20181008111019 1
2.8%
ValueCountFrequency (%)
20210225100327 1
2.8%
20210220152852 1
2.8%
20210219100933 1
2.8%
20210209141238 1
2.8%
20210205170844 1
2.8%
20210204132002 1
2.8%
20210114165241 1
2.8%
20210107151309 1
2.8%
20201230174208 1
2.8%
20201211125629 1
2.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
I
19 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
52.8%
U 17
47.2%

Length

2024-04-16T22:38:25.883701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:25.973422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
52.8%
u 17
47.2%

데이터갱신일자
Date

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2018-10-10 02:37:31
Maximum2021-02-27 00:23:00
2024-04-16T22:38:26.064790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T22:38:26.175429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing5
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean388581.89
Minimum378026
Maximum405926.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:26.283645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378026
5-th percentile380456.52
Q1380903.01
median388316.45
Q3390162.67
95-th percentile404672.37
Maximum405926.8
Range27900.804
Interquartile range (IQR)9259.6574

Descriptive statistics

Standard deviation8200.8896
Coefficient of variation (CV)0.021104663
Kurtosis0.13090035
Mean388581.89
Median Absolute Deviation (MAD)5289.4783
Skewness1.0022626
Sum12046038
Variance67254591
MonotonicityNot monotonic
2024-04-16T22:38:26.380508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
380645.672312821 3
 
8.3%
403947.265423154 3
 
8.3%
385468.443590649 2
 
5.6%
380903.012198435 2
 
5.6%
388316.452069542 2
 
5.6%
393605.930358633 1
 
2.8%
389635.415888168 1
 
2.8%
378026.0 1
 
2.8%
390027.195360975 1
 
2.8%
389000.736159624 1
 
2.8%
Other values (14) 14
38.9%
(Missing) 5
 
13.9%
ValueCountFrequency (%)
378026.0 1
 
2.8%
380267.363894927 1
 
2.8%
380645.672312821 3
8.3%
380798.838967553 1
 
2.8%
380810.22770681 1
 
2.8%
380903.012198435 2
5.6%
382070.620479643 1
 
2.8%
385468.443590649 2
5.6%
385562.010254537 1
 
2.8%
385591.248001476 1
 
2.8%
ValueCountFrequency (%)
405926.804044414 1
 
2.8%
405397.470560958 1
 
2.8%
403947.265423154 3
8.3%
393605.930358633 1
 
2.8%
390624.256291267 1
 
2.8%
390298.143755228 1
 
2.8%
390027.195360975 1
 
2.8%
389635.415888168 1
 
2.8%
389563.586926279 1
 
2.8%
389153.361849672 1
 
2.8%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing5
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean192103.96
Minimum179969.55
Maximum206746.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:26.481327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179969.55
5-th percentile183102.04
Q1186139.95
median191178.01
Q3194299.94
95-th percentile205062.42
Maximum206746.79
Range26777.244
Interquartile range (IQR)8159.9899

Descriptive statistics

Standard deviation7111.0023
Coefficient of variation (CV)0.037016428
Kurtosis-0.2334127
Mean192103.96
Median Absolute Deviation (MAD)4971.4813
Skewness0.65803581
Sum5955222.7
Variance50566354
MonotonicityNot monotonic
2024-04-16T22:38:26.608065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
186073.362666348 3
 
8.3%
203667.051343927 3
 
8.3%
192213.626512424 2
 
5.6%
190017.436488015 2
 
5.6%
191178.011028057 2
 
5.6%
188324.973749177 1
 
2.8%
199385.436227116 1
 
2.8%
192626.0 1
 
2.8%
199378.846451463 1
 
2.8%
189574.207456438 1
 
2.8%
Other values (14) 14
38.9%
(Missing) 5
 
13.9%
ValueCountFrequency (%)
179969.546905958 1
 
2.8%
181425.423838974 1
 
2.8%
184778.657753035 1
 
2.8%
185570.898130941 1
 
2.8%
185844.723433596 1
 
2.8%
186073.362666348 3
8.3%
186206.529740488 1
 
2.8%
188324.973749177 1
 
2.8%
189574.207456438 1
 
2.8%
189958.115183768 1
 
2.8%
ValueCountFrequency (%)
206746.790462324 1
 
2.8%
206457.785803911 1
 
2.8%
203667.051343927 3
8.3%
199385.436227116 1
 
2.8%
199378.846451463 1
 
2.8%
194640.53698599 1
 
2.8%
193959.335175462 1
 
2.8%
192626.0 1
 
2.8%
192333.059006559 1
 
2.8%
192213.626512424 2
5.6%

실험실면적
Categorical

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
27 
42.5
3 
83.38
 
2
0.0
 
2
91.09
 
1

Length

Max length5
Median length4
Mean length4.0277778
Min length3

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row83.38

Common Values

ValueCountFrequency (%)
<NA> 27
75.0%
42.5 3
 
8.3%
83.38 2
 
5.6%
0.0 2
 
5.6%
91.09 1
 
2.8%
46.2 1
 
2.8%

Length

2024-04-16T22:38:26.734370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:26.866723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
75.0%
42.5 3
 
8.3%
83.38 2
 
5.6%
0.0 2
 
5.6%
91.09 1
 
2.8%
46.2 1
 
2.8%

사업장구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
환경관리대행기관
36 

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 36
100.0%

Length

2024-04-16T22:38:26.986866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:27.082332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경관리대행기관 36
100.0%

영업소면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
31 
433.44
 
3
23.0
 
1
0.0
 
1

Length

Max length6
Median length4
Mean length4.1388889
Min length3

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row<NA>
2nd row23.0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
86.1%
433.44 3
 
8.3%
23.0 1
 
2.8%
0.0 1
 
2.8%

Length

2024-04-16T22:38:27.202167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:27.322842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
86.1%
433.44 3
 
8.3%
23.0 1
 
2.8%
0.0 1
 
2.8%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

실험실지역코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
28 
2632010300
3 
4833010400
 
2
2653010200
 
1
2641010900
 
1

Length

Max length10
Median length4
Mean length5.3333333
Min length4

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row2632010300
2nd row<NA>
3rd row2632010300
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
77.8%
2632010300 3
 
8.3%
4833010400 2
 
5.6%
2653010200 1
 
2.8%
2641010900 1
 
2.8%
2653010500 1
 
2.8%

Length

2024-04-16T22:38:27.441160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:27.540636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
77.8%
2632010300 3
 
8.3%
4833010400 2
 
5.6%
2653010200 1
 
2.8%
2641010900 1
 
2.8%
2653010500 1
 
2.8%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing28
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean190119.38
Minimum46607
Maximum626800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:27.630433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46607
5-th percentile46607
Q146607
median46948
Q3190417.5
95-th percentile620857.7
Maximum626800
Range580193
Interquartile range (IQR)143810.5

Descriptive statistics

Standard deviation264327.97
Coefficient of variation (CV)1.3903263
Kurtosis0.008102829
Mean190119.38
Median Absolute Deviation (MAD)341
Skewness1.4413262
Sum1520955
Variance6.9869278 × 1010
MonotonicityNot monotonic
2024-04-16T22:38:27.730851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
46607 3
 
8.3%
50616 1
 
2.8%
46916 1
 
2.8%
609822 1
 
2.8%
46980 1
 
2.8%
626800 1
 
2.8%
(Missing) 28
77.8%
ValueCountFrequency (%)
46607 3
8.3%
46916 1
 
2.8%
46980 1
 
2.8%
50616 1
 
2.8%
609822 1
 
2.8%
626800 1
 
2.8%
ValueCountFrequency (%)
626800 1
 
2.8%
609822 1
 
2.8%
50616 1
 
2.8%
46980 1
 
2.8%
46916 1
 
2.8%
46607 3
8.3%

실험실산
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
25 
0
6 
1
5 

Length

Max length4
Median length4
Mean length3.0833333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
69.4%
0 6
 
16.7%
1 5
 
13.9%

Length

2024-04-16T22:38:27.845325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:27.939366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
69.4%
0 6
 
16.7%
1 5
 
13.9%

실험실번지
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing28
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean324.375
Minimum122
Maximum687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:28.017102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile177.3
Q1281.5
median302
Q3306
95-th percentile557.85
Maximum687
Range565
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation159.35579
Coefficient of variation (CV)0.49127026
Kurtosis5.1893086
Mean324.375
Median Absolute Deviation (MAD)18
Skewness1.8450353
Sum2595
Variance25394.268
MonotonicityNot monotonic
2024-04-16T22:38:28.106932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
302 3
 
8.3%
687 1
 
2.8%
282 1
 
2.8%
280 1
 
2.8%
122 1
 
2.8%
318 1
 
2.8%
(Missing) 28
77.8%
ValueCountFrequency (%)
122 1
 
2.8%
280 1
 
2.8%
282 1
 
2.8%
302 3
8.3%
318 1
 
2.8%
687 1
 
2.8%
ValueCountFrequency (%)
687 1
 
2.8%
318 1
 
2.8%
302 3
8.3%
282 1
 
2.8%
280 1
 
2.8%
122 1
 
2.8%

실험실호
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)75.0%
Missing28
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean4.125
Minimum0
Maximum15
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:28.196287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q36.25
95-th percentile12.2
Maximum15
Range15
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation5.1668587
Coefficient of variation (CV)1.2525718
Kurtosis2.295834
Mean4.125
Median Absolute Deviation (MAD)2.5
Skewness1.5119516
Sum33
Variance26.696429
MonotonicityNot monotonic
2024-04-16T22:38:28.285745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3
 
8.3%
7 1
 
2.8%
6 1
 
2.8%
2 1
 
2.8%
15 1
 
2.8%
3 1
 
2.8%
(Missing) 28
77.8%
ValueCountFrequency (%)
0 3
8.3%
2 1
 
2.8%
3 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
15 1
 
2.8%
ValueCountFrequency (%)
15 1
 
2.8%
7 1
 
2.8%
6 1
 
2.8%
3 1
 
2.8%
2 1
 
2.8%
0 3
8.3%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

실험실특수주소
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing31
Missing (%)86.1%
Memory size420.0 B
2024-04-16T22:38:28.406689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length5.4
Min length4

Characters and Unicode

Total characters27
Distinct characters19
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

Unique2 ?
Unique (%)40.0%

Sample

1st row다산타워
2nd row다산타워
3rd row다산타워
4th row지에이치환경(주)
5th row세종빌딩6층
ValueCountFrequency (%)
다산타워 3
60.0%
지에이치환경(주 1
 
20.0%
세종빌딩6층 1
 
20.0%
2024-04-16T22:38:28.639566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 3
 
11.1%
타 3
 
11.1%
워 3
 
11.1%
산 3
 
11.1%
주 1
 
3.7%
6 1
 
3.7%
딩 1
 
3.7%
빌 1
 
3.7%
종 1
 
3.7%
세 1
 
3.7%
Other values (9) 9
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
88.9%
Decimal Number 1
 
3.7%
Close Punctuation 1
 
3.7%
Open Punctuation 1
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 3
12.5%
타 3
12.5%
워 3
12.5%
산 3
12.5%
주 1
 
4.2%
딩 1
 
4.2%
빌 1
 
4.2%
종 1
 
4.2%
세 1
 
4.2%
경 1
 
4.2%
Other values (6) 6
25.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
88.9%
Common 3
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 3
12.5%
타 3
12.5%
워 3
12.5%
산 3
12.5%
주 1
 
4.2%
딩 1
 
4.2%
빌 1
 
4.2%
종 1
 
4.2%
세 1
 
4.2%
경 1
 
4.2%
Other values (6) 6
25.0%
Common
ValueCountFrequency (%)
6 1
33.3%
) 1
33.3%
( 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
88.9%
ASCII 3
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 3
12.5%
타 3
12.5%
워 3
12.5%
산 3
12.5%
주 1
 
4.2%
딩 1
 
4.2%
빌 1
 
4.2%
종 1
 
4.2%
세 1
 
4.2%
경 1
 
4.2%
Other values (6) 6
25.0%
ASCII
ValueCountFrequency (%)
6 1
33.3%
) 1
33.3%
( 1
33.3%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

실험실특수주소호
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
33 
402
 
1
401
 
1
101
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length3

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row<NA>
2nd row<NA>
3rd row402
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 33
91.7%
402 1
 
2.8%
401 1
 
2.8%
101 1
 
2.8%

Length

2024-04-16T22:38:28.779353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:28.892661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
91.7%
402 1
 
2.8%
401 1
 
2.8%
101 1
 
2.8%

실험실도로명주소시군구코드
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)41.7%
Missing12
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean27345.833
Minimum26260
Maximum48330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:28.974772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26260
5-th percentile26294.5
Q126320
median26410
Q326530
95-th percentile26710
Maximum48330
Range22070
Interquartile range (IQR)210

Descriptive statistics

Standard deviation4471.254
Coefficient of variation (CV)0.16350769
Kurtosis23.959868
Mean27345.833
Median Absolute Deviation (MAD)90
Skewness4.8930989
Sum656300
Variance19992112
MonotonicityNot monotonic
2024-04-16T22:38:29.056723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
26530 6
16.7%
26320 5
13.9%
26410 3
 
8.3%
26440 2
 
5.6%
26710 2
 
5.6%
26380 2
 
5.6%
48330 1
 
2.8%
26350 1
 
2.8%
26290 1
 
2.8%
26260 1
 
2.8%
(Missing) 12
33.3%
ValueCountFrequency (%)
26260 1
 
2.8%
26290 1
 
2.8%
26320 5
13.9%
26350 1
 
2.8%
26380 2
 
5.6%
26410 3
8.3%
26440 2
 
5.6%
26530 6
16.7%
26710 2
 
5.6%
48330 1
 
2.8%
ValueCountFrequency (%)
48330 1
 
2.8%
26710 2
 
5.6%
26530 6
16.7%
26440 2
 
5.6%
26410 3
8.3%
26380 2
 
5.6%
26350 1
 
2.8%
26320 5
13.9%
26290 1
 
2.8%
26260 1
 
2.8%

실험실도로명주소읍면동코드
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)54.2%
Missing12
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.734595 × 109
Minimum2.6260108 × 109
Maximum4.8330104 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:29.145657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6260108 × 109
5-th percentile2.6294608 × 109
Q12.6320103 × 109
median2.6410109 × 109
Q32.6530105 × 109
95-th percentile2.6710253 × 109
Maximum4.8330104 × 109
Range2.2069996 × 109
Interquartile range (IQR)21000200

Descriptive statistics

Standard deviation4.471252 × 108
Coefficient of variation (CV)0.16350692
Kurtosis23.959848
Mean2.734595 × 109
Median Absolute Deviation (MAD)9000600
Skewness4.8930961
Sum6.5630281 × 1010
Variance1.9992095 × 1017
MonotonicityNot monotonic
2024-04-16T22:38:29.234724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2632010300 5
13.9%
2653010500 4
 
11.1%
2641010900 2
 
5.6%
2644010100 2
 
5.6%
2671025300 2
 
5.6%
2638010600 2
 
5.6%
4833010400 1
 
2.8%
2635010500 1
 
2.8%
2653010200 1
 
2.8%
2629010900 1
 
2.8%
Other values (3) 3
 
8.3%
(Missing) 12
33.3%
ValueCountFrequency (%)
2626010800 1
 
2.8%
2629010900 1
 
2.8%
2632010300 5
13.9%
2635010500 1
 
2.8%
2638010600 2
 
5.6%
2641010300 1
 
2.8%
2641010900 2
 
5.6%
2644010100 2
 
5.6%
2653010200 1
 
2.8%
2653010400 1
 
2.8%
ValueCountFrequency (%)
4833010400 1
 
2.8%
2671025300 2
5.6%
2653010500 4
11.1%
2653010400 1
 
2.8%
2653010200 1
 
2.8%
2644010100 2
5.6%
2641010900 2
5.6%
2641010300 1
 
2.8%
2638010600 2
5.6%
2635010500 1
 
2.8%

실험실도로명주소읍면동구분
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
22 
<NA>
12 
0
 
2

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
61.1%
<NA> 12
33.3%
0 2
 
5.6%

Length

2024-04-16T22:38:29.341186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:29.448791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
61.1%
na 12
33.3%
0 2
 
5.6%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)54.2%
Missing12
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean3811351
Minimum3133020
Maximum4217302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:29.535199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3133020
5-th percentile3135644.3
Q13139803.2
median4196163
Q34202936.5
95-th percentile4215922.2
Maximum4217302
Range1084282
Interquartile range (IQR)1063133.2

Descriptive statistics

Standard deviation516720.21
Coefficient of variation (CV)0.13557403
Kurtosis-1.8154627
Mean3811351
Median Absolute Deviation (MAD)12099
Skewness-0.56819858
Sum91472423
Variance2.6699977 × 1011
MonotonicityNot monotonic
2024-04-16T22:38:29.650223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4196163 5
13.9%
3139012 4
 
11.1%
4205140 2
 
5.6%
4208262 2
 
5.6%
3140067 2
 
5.6%
4202202 2
 
5.6%
3338098 1
 
2.8%
3133020 1
 
2.8%
4217274 1
 
2.8%
4193094 1
 
2.8%
Other values (3) 3
 
8.3%
(Missing) 12
33.3%
ValueCountFrequency (%)
3133020 1
 
2.8%
3135050 1
 
2.8%
3139012 4
11.1%
3140067 2
 
5.6%
3338098 1
 
2.8%
4190380 1
 
2.8%
4193094 1
 
2.8%
4196163 5
13.9%
4202202 2
 
5.6%
4205140 2
 
5.6%
ValueCountFrequency (%)
4217302 1
 
2.8%
4217274 1
 
2.8%
4208262 2
 
5.6%
4205140 2
 
5.6%
4202202 2
 
5.6%
4196163 5
13.9%
4193094 1
 
2.8%
4190380 1
 
2.8%
3338098 1
 
2.8%
3140067 2
 
5.6%

실험실도로명특수주소
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing32
Missing (%)88.9%
Memory size420.0 B
2024-04-16T22:38:29.774828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.75
Min length4

Characters and Unicode

Total characters19
Distinct characters10
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 (%)25.0%

Sample

1st row다산타워
2nd row다산타워
3rd row다산타워
4th row금호환경산업사
ValueCountFrequency (%)
다산타워 3
75.0%
금호환경산업사 1
 
25.0%
2024-04-16T22:38:29.999545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 4
21.1%
다 3
15.8%
타 3
15.8%
워 3
15.8%
금 1
 
5.3%
호 1
 
5.3%
환 1
 
5.3%
경 1
 
5.3%
업 1
 
5.3%
사 1
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4
21.1%
다 3
15.8%
타 3
15.8%
워 3
15.8%
금 1
 
5.3%
호 1
 
5.3%
환 1
 
5.3%
경 1
 
5.3%
업 1
 
5.3%
사 1
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4
21.1%
다 3
15.8%
타 3
15.8%
워 3
15.8%
금 1
 
5.3%
호 1
 
5.3%
환 1
 
5.3%
경 1
 
5.3%
업 1
 
5.3%
사 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 4
21.1%
다 3
15.8%
타 3
15.8%
워 3
15.8%
금 1
 
5.3%
호 1
 
5.3%
환 1
 
5.3%
경 1
 
5.3%
업 1
 
5.3%
사 1
 
5.3%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
24 
<NA>
12 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
66.7%
<NA> 12
33.3%

Length

2024-04-16T22:38:30.114214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:30.207283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
66.7%
na 12
33.3%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)54.2%
Missing12
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean59.291667
Minimum1
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:30.287992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110.75
median30
Q363.5
95-th percentile183
Maximum203
Range202
Interquartile range (IQR)52.75

Descriptive statistics

Standard deviation70.402865
Coefficient of variation (CV)1.187399
Kurtosis-0.10935503
Mean59.291667
Median Absolute Deviation (MAD)24
Skewness1.2246435
Sum1423
Variance4956.5634
MonotonicityNot monotonic
2024-04-16T22:38:30.386781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 5
13.9%
183 4
 
11.1%
30 3
 
8.3%
54 2
 
5.6%
14 2
 
5.6%
203 1
 
2.8%
48 1
 
2.8%
39 1
 
2.8%
11 1
 
2.8%
10 1
 
2.8%
Other values (3) 3
 
8.3%
(Missing) 12
33.3%
ValueCountFrequency (%)
1 5
13.9%
10 1
 
2.8%
11 1
 
2.8%
14 2
 
5.6%
20 1
 
2.8%
30 3
8.3%
37 1
 
2.8%
39 1
 
2.8%
48 1
 
2.8%
54 2
 
5.6%
ValueCountFrequency (%)
203 1
 
2.8%
183 4
11.1%
92 1
 
2.8%
54 2
5.6%
48 1
 
2.8%
39 1
 
2.8%
37 1
 
2.8%
30 3
8.3%
20 1
 
2.8%
14 2
5.6%

실험실도로명주소건물부번호
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
29 
0
6 
1
 
1

Length

Max length4
Median length4
Mean length3.4166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
80.6%
0 6
 
16.7%
1 1
 
2.8%

Length

2024-04-16T22:38:30.498626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:30.595976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
80.6%
0 6
 
16.7%
1 1
 
2.8%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)54.2%
Missing12
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean235951.38
Minimum46607
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-16T22:38:30.672920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46607
5-th percentile46607
Q146700
median47519.5
Q3609071.25
95-th percentile619630.25
Maximum619952
Range573345
Interquartile range (IQR)562371.25

Descriptive statistics

Standard deviation272352.65
Coefficient of variation (CV)1.1542745
Kurtosis-1.5669009
Mean235951.38
Median Absolute Deviation (MAD)912.5
Skewness0.75548599
Sum5662833
Variance7.4175969 × 1010
MonotonicityNot monotonic
2024-04-16T22:38:30.776466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
46607 5
13.9%
46980 4
 
11.1%
609822 2
 
5.6%
46700 2
 
5.6%
619952 2
 
5.6%
49514 2
 
5.6%
50616 1
 
2.8%
48059 1
 
2.8%
46916 1
 
2.8%
608821 1
 
2.8%
Other values (3) 3
 
8.3%
(Missing) 12
33.3%
ValueCountFrequency (%)
46607 5
13.9%
46700 2
 
5.6%
46916 1
 
2.8%
46980 4
11.1%
48059 1
 
2.8%
49514 2
 
5.6%
50616 1
 
2.8%
607840 1
 
2.8%
608821 1
 
2.8%
609822 2
 
5.6%
ValueCountFrequency (%)
619952 2
5.6%
617807 1
 
2.8%
609843 1
 
2.8%
609822 2
5.6%
608821 1
 
2.8%
607840 1
 
2.8%
50616 1
 
2.8%
49514 2
5.6%
48059 1
 
2.8%
46980 4
11.1%

Unnamed: 51
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호Unnamed: 51
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12환경관리대행기관09_30_15_P626000062600001020190000120190117<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>46033부산광역시 기장군 장안읍 좌천리 520번지 대성전기철물부산광역시 기장군 장안읍 좌천로 40, 대성전기철물46033동부환경20190117183426I2019-01-19 02:21:19.0<NA>403947.265423203667.051344<NA>환경관리대행기관23.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23환경관리대행기관09_30_15_P626000062600001020130000920201211<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 여고로 61 (사직동)607818(주)한서엔텍20201211125629U2020-12-13 02:40:00.0<NA>388502.134514190530.121157<NA>환경관리대행기관<NA><NA>26320103004660703020<NA><NA>다산타워<NA>40226320263201030014196163다산타워01046607<NA>
34환경관리대행기관09_30_15_P626000062600001020130001020210205<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 동부곡로23번길 30 (부곡동)609822(주)한신환경20210205170844U2021-02-07 02:40:00.0<NA>390624.256291193959.335175<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26410264101090014205140<NA>030<NA>609822<NA>
45환경관리대행기관09_30_15_P626000062600001020150000320200610<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 북구 만덕2로17번길 1, 402호 (만덕동)46607세영환경산업(주)20200717160008U2020-07-19 02:40:00.0<NA>385468.443591192213.62651283.38환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26320263201030014196163<NA>01<NA>46607<NA>
56환경관리대행기관09_30_15_P626000062600001020190000520191104<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 장안읍 좌천리 286-1 좌천슈퍼부산광역시 기장군 장안읍 좌천2길 36, 좌천슈퍼<NA>비제이엔지니어링20200103161514U2020-01-05 02:40:00.0<NA><NA><NA><NA>환경관리대행기관<NA><NA>26320103004660703020<NA><NA>다산타워<NA>40126320263201030014196163다산타워01046607<NA>
67환경관리대행기관09_30_15_P626000062600001020200000120210220<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>46917부산광역시 사상구 모라동 283-11부산광역시 사상구 사상로525번길 54, 2층 (모라동)46917(주)세영환경기술20210220152852U2021-02-23 02:40:00.0<NA>380810.227707189958.115184<NA>환경관리대행기관<NA><NA>48330104005061606877<NA><NA><NA><NA><NA>48330483301040013338098<NA>0203050616<NA>
78환경관리대행기관09_30_15_P626000062600001020130002020210209<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>46228부산광역시 금정구 구서동 1009-4부산광역시 금정구 두실로 37 (구서동)46228(주)이피엘20210209141238U2021-02-11 02:40:00.0<NA>393605.930359188324.973749<NA>환경관리대행기관<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>26350263501050013133020<NA>048<NA>48059<NA>
89환경관리대행기관09_30_15_P626000062600001020200000220201008<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 137-5부산광역시 동래구 미남로 70, 지하 1층 (사직동)<NA>(주)디에이치환경측정연구소20201008173422I2020-10-10 00:23:11.0<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>
910환경관리대행기관09_30_15_P626000062600001020210000120210225<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>46916부산광역시 사상구 모라동 282-6 지에이치환경(주) 101호부산광역시 사상구 사상로539번길 39, 금호환경산업사 1층 101호 (모라동)46916지에이치환경(주)20210225100327I2021-02-27 00:23:00.0<NA>380903.012198190017.43648891.09환경관리대행기관<NA><NA>26530102004691602826<NA><NA>지에이치환경(주)<NA>10126530265301020014217274금호환경산업사039046916<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호Unnamed: 51
2627환경관리대행기관09_30_15_P626000062600001020130001920141021<NA>3폐업Q폐업20141021<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 중앙대로 1663 (부곡동)609852블루워터(주)20151202164711I2019-03-23 02:20:03.0<NA>390298.143755194640.536986<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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3031환경관리대행기관09_30_15_P626000062600001020130001620160331<NA>3폐업Q폐업20181024<NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 대저로29번길 54 (대저1동)46700천호환경(주)20181024141943I2018-10-26 02:37:25.0<NA>378026.0192626.0<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26440264401010014208262<NA>054<NA>46700<NA>
3132환경관리대행기관09_30_15_P626000062600001020130001820170912<NA>3폐업Q폐업20181024<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 새벽로 183, 3층 (감전동)46980초석환경기술단20181024142524I2018-10-26 02:37:25.0<NA>380645.672313186073.36266642.5환경관리대행기관433.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26530265301050013139012<NA>0183<NA>46980<NA>
3233환경관리대행기관09_30_15_P626000062600001020170000120170912<NA>3폐업Q폐업20181024<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 새벽로 183, 3층 (감전동)46980초석환경기술단20181024142942I2018-10-26 02:37:25.0<NA>380645.672313186073.36266642.5환경관리대행기관433.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26530265301050013139012<NA>0183<NA>46980<NA>
3334환경관리대행기관09_30_15_P626000062600001020130001120180803<NA>3폐업Q폐업20181024<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대로385번길 12 (다대동)49514(주)홍익환경20181024143634I2018-10-26 02:37:25.0<NA><NA><NA><NA>환경관리대행기관<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>26380263801060014202202<NA>014<NA>49514<NA>
3435환경관리대행기관09_30_15_P626000062600001020180000120200420<NA>3폐업Q폐업20200703<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 다대로385번길 12 (다대동)49514(주)홍익환경20200706205604U2020-07-08 02:40:00.0<NA><NA><NA><NA>환경관리대행기관<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>26380263801060014202202<NA>014<NA>49514<NA>
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