Overview

Dataset statistics

Number of variables52
Number of observations40
Missing cells733
Missing cells (%)35.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.9 KiB
Average record size in memory458.3 B

Variable types

Numeric16
Categorical19
Unsupported11
Text5
DateTime1

Dataset

Description2021-06-01
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 (61.3%)Imbalance
실험실면적 is highly imbalanced (51.1%)Imbalance
영업소면적 is highly imbalanced (64.3%)Imbalance
실험실특수주소동 is highly imbalanced (83.1%)Imbalance
실험실특수주소호 is highly imbalanced (74.8%)Imbalance
인허가취소일자 has 40 (100.0%) missing valuesMissing
폐업일자 has 21 (52.5%) missing valuesMissing
휴업시작일자 has 40 (100.0%) missing valuesMissing
휴업종료일자 has 40 (100.0%) missing valuesMissing
재개업일자 has 40 (100.0%) missing valuesMissing
소재지전화 has 40 (100.0%) missing valuesMissing
소재지면적 has 40 (100.0%) missing valuesMissing
소재지전체주소 has 28 (70.0%) missing valuesMissing
도로명우편번호 has 6 (15.0%) missing valuesMissing
업태구분명 has 40 (100.0%) missing valuesMissing
좌표정보(x) has 9 (22.5%) missing valuesMissing
좌표정보(y) has 9 (22.5%) missing valuesMissing
위탁업체명 has 40 (100.0%) missing valuesMissing
실험실우편번호 has 29 (72.5%) missing valuesMissing
실험실번지 has 29 (72.5%) missing valuesMissing
실험실호 has 29 (72.5%) missing valuesMissing
실험실통 has 40 (100.0%) missing valuesMissing
실험실반 has 40 (100.0%) missing valuesMissing
실험실특수주소 has 34 (85.0%) missing valuesMissing
실험실도로명주소시군구코드 has 13 (32.5%) missing valuesMissing
실험실도로명주소읍면동코드 has 13 (32.5%) missing valuesMissing
실험실도로명주소코드 has 13 (32.5%) missing valuesMissing
실험실도로명특수주소 has 34 (85.0%) missing valuesMissing
실험실도로명주소건물본번호 has 13 (32.5%) missing valuesMissing
실험실도로명주소우편번호 has 13 (32.5%) missing valuesMissing
Unnamed: 51 has 40 (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
Unnamed: 51 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실호 has 4 (10.0%) zerosZeros

Reproduction

Analysis started2024-04-16 13:37:56.370024
Analysis finished2024-04-16 13:37:56.833988
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:37:56.895599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2024-04-16T22:37:57.029080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
환경관리대행기관
40 

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 40
100.0%

Length

2024-04-16T22:37:57.159308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:57.241456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경관리대행기관 40
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
09_30_15_P
40 

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 40
100.0%

Length

2024-04-16T22:37:57.326541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:57.408816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_15_p 40
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
6260000
40 

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 40
100.0%

Length

2024-04-16T22:37:57.501638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:57.608385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 40
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct40
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 size492.0 B
2024-04-16T22:37:57.698015image/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
Range800004
Interquartile range (IQR)600064

Descriptive statistics

Standard deviation316228.61
Coefficient of variation (CV)5.0515752 × 10-13
Kurtosis-1.375071
Mean6.2600001 × 1017
Median Absolute Deviation (MAD)100096
Skewness0.57831906
Sum6.5932563 × 1018
Variance1.0000054 × 1011
MonotonicityNot monotonic
2024-04-16T22:37:57.826151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
626000010201300007 1
 
2.5%
626000010201300012 1
 
2.5%
626000010201300003 1
 
2.5%
626000010201300008 1
 
2.5%
626000010201300013 1
 
2.5%
626000010201300014 1
 
2.5%
626000010201300015 1
 
2.5%
626000010201300017 1
 
2.5%
626000010201300019 1
 
2.5%
626000010201500003 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
626000010201300001 1
2.5%
626000010201300002 1
2.5%
626000010201300003 1
2.5%
626000010201300004 1
2.5%
626000010201300005 1
2.5%
626000010201300006 1
2.5%
626000010201300007 1
2.5%
626000010201300008 1
2.5%
626000010201300009 1
2.5%
626000010201300010 1
2.5%
ValueCountFrequency (%)
626000010202100005 1
2.5%
626000010202100004 1
2.5%
626000010202100003 1
2.5%
626000010202100002 1
2.5%
626000010202100001 1
2.5%
626000010202000002 1
2.5%
626000010202000001 1
2.5%
626000010201900005 1
2.5%
626000010201900004 1
2.5%
626000010201900003 1
2.5%

인허가일자
Real number (ℝ)

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20187274
Minimum20130609
Maximum20210423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:37:57.960087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130609
5-th percentile20140248
Q120168311
median20195762
Q320210309
95-th percentile20210410
Maximum20210423
Range79814
Interquartile range (IQR)41998

Descriptive statistics

Standard deviation26356.78
Coefficient of variation (CV)0.0013056137
Kurtosis-0.67962962
Mean20187274
Median Absolute Deviation (MAD)14562.5
Skewness-0.82103669
Sum8.0749094 × 108
Variance6.9467986 × 108
MonotonicityNot monotonic
2024-04-16T22:37:58.103230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20210322 2
 
5.0%
20170912 2
 
5.0%
20210410 2
 
5.0%
20200420 1
 
2.5%
20180803 1
 
2.5%
20181112 1
 
2.5%
20160331 1
 
2.5%
20190216 1
 
2.5%
20150827 1
 
2.5%
20190218 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
20130609 1
2.5%
20131203 1
2.5%
20140724 1
2.5%
20141021 1
2.5%
20150320 1
2.5%
20150827 1
2.5%
20151112 1
2.5%
20160325 1
2.5%
20160331 1
2.5%
20160509 1
2.5%
ValueCountFrequency (%)
20210423 1
2.5%
20210413 1
2.5%
20210410 2
5.0%
20210326 1
2.5%
20210323 1
2.5%
20210322 2
5.0%
20210318 1
2.5%
20210310 1
2.5%
20210309 1
2.5%
20210225 1
2.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
1
20 
3
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
50.0%
3 20
50.0%

Length

2024-04-16T22:37:58.225074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:58.309571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
50.0%
3 20
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
영업/정상
20 
폐업
20 

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
50.0%
폐업 20
50.0%

Length

2024-04-16T22:37:58.403247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:58.491012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
50.0%
폐업 20
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
N
20 
Q
20 

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 (%)
N 20
50.0%
Q 20
50.0%

Length

2024-04-16T22:37:58.580739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:58.667533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 20
50.0%
q 20
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
신규
20 
폐업
20 

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 (%)
신규 20
50.0%
폐업 20
50.0%

Length

2024-04-16T22:37:58.752095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:58.836756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 20
50.0%
폐업 20
50.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing21
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean20171319
Minimum20131202
Maximum20200703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:37:58.919146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131202
5-th percentile20139772
Q120160660
median20181024
Q320185666
95-th percentile20192076
Maximum20200703
Range69501
Interquartile range (IQR)25006

Descriptive statistics

Standard deviation19741.025
Coefficient of variation (CV)0.00097866801
Kurtosis-0.58469225
Mean20171319
Median Absolute Deviation (MAD)10422
Skewness-0.60480738
Sum3.8325507 × 108
Variance3.8970807 × 108
MonotonicityNot monotonic
2024-04-16T22:37:59.025915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20181024 4
 
10.0%
20190219 2
 
5.0%
20190304 1
 
2.5%
20131202 1
 
2.5%
20170602 1
 
2.5%
20170329 1
 
2.5%
20161201 1
 
2.5%
20150901 1
 
2.5%
20140724 1
 
2.5%
20141021 1
 
2.5%
Other values (5) 5
 
12.5%
(Missing) 21
52.5%
ValueCountFrequency (%)
20131202 1
 
2.5%
20140724 1
 
2.5%
20141021 1
 
2.5%
20150901 1
 
2.5%
20160204 1
 
2.5%
20161115 1
 
2.5%
20161201 1
 
2.5%
20170329 1
 
2.5%
20170602 1
 
2.5%
20181024 4
10.0%
ValueCountFrequency (%)
20200703 1
 
2.5%
20191118 1
 
2.5%
20190304 1
 
2.5%
20190219 2
5.0%
20181112 1
 
2.5%
20181024 4
10.0%
20170602 1
 
2.5%
20170329 1
 
2.5%
20161201 1
 
2.5%
20161115 1
 
2.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
34 
46033
 
2
46916
 
2
46917
 
1
46228
 
1

Length

Max length5
Median length4
Mean length4.15
Min length4

Unique

Unique2 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
85.0%
46033 2
 
5.0%
46916 2
 
5.0%
46917 1
 
2.5%
46228 1
 
2.5%

Length

2024-04-16T22:37:59.152814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:37:59.247742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
85.0%
46033 2
 
5.0%
46916 2
 
5.0%
46917 1
 
2.5%
46228 1
 
2.5%

소재지전체주소
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing28
Missing (%)70.0%
Memory size452.0 B
2024-04-16T22:37:59.403369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length24.416667
Min length18

Characters and Unicode

Total characters293
Distinct characters70
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

Unique12 ?
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 12
20.7%
사상구 4
 
6.9%
장안읍 3
 
5.2%
좌천리 3
 
5.2%
기장군 3
 
5.2%
모라동 3
 
5.2%
282-6 2
 
3.4%
520번지 2
 
3.4%
좌천슈퍼 1
 
1.7%
대저1동 1
 
1.7%
Other values (24) 24
41.4%
2024-04-16T22:37:59.730391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
15.7%
역 13
 
4.4%
시 13
 
4.4%
산 13
 
4.4%
부 12
 
4.1%
광 12
 
4.1%
2 11
 
3.8%
구 11
 
3.8%
1 10
 
3.4%
- 10
 
3.4%
Other values (60) 142
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
61.4%
Decimal Number 55
 
18.8%
Space Separator 46
 
15.7%
Dash Punctuation 10
 
3.4%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 13
 
7.2%
시 13
 
7.2%
산 13
 
7.2%
부 12
 
6.7%
광 12
 
6.7%
구 11
 
6.1%
동 10
 
5.6%
장 6
 
3.3%
사 6
 
3.3%
천 4
 
2.2%
Other values (46) 80
44.4%
Decimal Number
ValueCountFrequency (%)
2 11
20.0%
1 10
18.2%
0 8
14.5%
8 6
10.9%
5 5
9.1%
3 5
9.1%
6 4
 
7.3%
4 3
 
5.5%
7 2
 
3.6%
9 1
 
1.8%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
61.4%
Common 113
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 13
 
7.2%
시 13
 
7.2%
산 13
 
7.2%
부 12
 
6.7%
광 12
 
6.7%
구 11
 
6.1%
동 10
 
5.6%
장 6
 
3.3%
사 6
 
3.3%
천 4
 
2.2%
Other values (46) 80
44.4%
Common
ValueCountFrequency (%)
46
40.7%
2 11
 
9.7%
1 10
 
8.8%
- 10
 
8.8%
0 8
 
7.1%
8 6
 
5.3%
5 5
 
4.4%
3 5
 
4.4%
6 4
 
3.5%
4 3
 
2.7%
Other values (4) 5
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
61.4%
ASCII 113
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
40.7%
2 11
 
9.7%
1 10
 
8.8%
- 10
 
8.8%
0 8
 
7.1%
8 6
 
5.3%
5 5
 
4.4%
3 5
 
4.4%
6 4
 
3.5%
4 3
 
2.7%
Other values (4) 5
 
4.4%
Hangul
ValueCountFrequency (%)
역 13
 
7.2%
시 13
 
7.2%
산 13
 
7.2%
부 12
 
6.7%
광 12
 
6.7%
구 11
 
6.1%
동 10
 
5.6%
장 6
 
3.3%
사 6
 
3.3%
천 4
 
2.2%
Other values (46) 80
44.4%

도로명전체주소
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-16T22:37:59.975665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length27.9
Min length19

Characters and Unicode

Total characters1116
Distinct characters121
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

Unique31 ?
Unique (%)77.5%

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 기장군 장안읍 좌천2길 36, 좌천슈퍼
ValueCountFrequency (%)
부산광역시 40
 
17.9%
사상구 10
 
4.5%
기장군 6
 
2.7%
금정구 5
 
2.2%
장안읍 5
 
2.2%
동래구 5
 
2.2%
새벽로 4
 
1.8%
183 4
 
1.8%
3층 4
 
1.8%
감전동 4
 
1.8%
Other values (95) 136
61.0%
2024-04-16T22:38:00.379451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
16.4%
산 45
 
4.0%
부 44
 
3.9%
동 42
 
3.8%
역 41
 
3.7%
시 41
 
3.7%
광 40
 
3.6%
로 39
 
3.5%
구 36
 
3.2%
1 34
 
3.0%
Other values (111) 571
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
60.1%
Space Separator 183
 
16.4%
Decimal Number 170
 
15.2%
Open Punctuation 34
 
3.0%
Close Punctuation 34
 
3.0%
Other Punctuation 22
 
2.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 45
 
6.7%
부 44
 
6.6%
동 42
 
6.3%
역 41
 
6.1%
시 41
 
6.1%
광 40
 
6.0%
로 39
 
5.8%
구 36
 
5.4%
사 20
 
3.0%
길 17
 
2.5%
Other values (96) 306
45.6%
Decimal Number
ValueCountFrequency (%)
1 34
20.0%
3 33
19.4%
2 27
15.9%
0 15
8.8%
5 14
8.2%
4 13
 
7.6%
9 10
 
5.9%
7 10
 
5.9%
8 9
 
5.3%
6 5
 
2.9%
Space Separator
ValueCountFrequency (%)
183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
60.1%
Common 445
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 45
 
6.7%
부 44
 
6.6%
동 42
 
6.3%
역 41
 
6.1%
시 41
 
6.1%
광 40
 
6.0%
로 39
 
5.8%
구 36
 
5.4%
사 20
 
3.0%
길 17
 
2.5%
Other values (96) 306
45.6%
Common
ValueCountFrequency (%)
183
41.1%
1 34
 
7.6%
( 34
 
7.6%
) 34
 
7.6%
3 33
 
7.4%
2 27
 
6.1%
, 22
 
4.9%
0 15
 
3.4%
5 14
 
3.1%
4 13
 
2.9%
Other values (5) 36
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
60.1%
ASCII 445
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
41.1%
1 34
 
7.6%
( 34
 
7.6%
) 34
 
7.6%
3 33
 
7.4%
2 27
 
6.1%
, 22
 
4.9%
0 15
 
3.4%
5 14
 
3.1%
4 13
 
2.9%
Other values (5) 36
 
8.1%
Hangul
ValueCountFrequency (%)
산 45
 
6.7%
부 44
 
6.6%
동 42
 
6.3%
역 41
 
6.1%
시 41
 
6.1%
광 40
 
6.0%
로 39
 
5.8%
구 36
 
5.4%
사 20
 
3.0%
길 17
 
2.5%
Other values (96) 306
45.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)70.6%
Missing6
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean329425.21
Minimum46033
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:00.493893image/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
2024-04-16T22:38:00.603770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
46980 3
 
7.5%
46033 3
 
7.5%
49514 2
 
5.0%
609843 2
 
5.0%
46607 2
 
5.0%
619952 2
 
5.0%
607840 2
 
5.0%
46916 2
 
5.0%
618803 1
 
2.5%
600012 1
 
2.5%
Other values (14) 14
35.0%
(Missing) 6
15.0%
ValueCountFrequency (%)
46033 3
7.5%
46228 1
 
2.5%
46607 2
5.0%
46700 1
 
2.5%
46916 2
5.0%
46917 1
 
2.5%
46980 3
7.5%
47537 1
 
2.5%
48409 1
 
2.5%
49514 2
5.0%
ValueCountFrequency (%)
619952 2
5.0%
618803 1
2.5%
617836 1
2.5%
617833 1
2.5%
617807 1
2.5%
614866 1
2.5%
609852 1
2.5%
609843 2
5.0%
609822 1
2.5%
607840 2
5.0%

사업장명
Text

Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-16T22:38:00.805012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.1
Min length4

Characters and Unicode

Total characters324
Distinct characters85
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

Unique24 ?
Unique (%)60.0%

Sample

1st row(주)영동엔지니어링
2nd row동부환경
3rd row(주)한서엔텍
4th row(주)한신환경
5th row비제이엔지니어링
ValueCountFrequency (%)
동부환경 3
 
7.5%
초석환경기술단 3
 
7.5%
주)홍익환경 2
 
5.0%
금호환경(주 2
 
5.0%
천호환경(주 2
 
5.0%
세영환경산업(주 2
 
5.0%
주)대한환경이엔지 2
 
5.0%
주)태진엔지니어링 1
 
2.5%
주)우일환경테크닉스 1
 
2.5%
주)한솔이앤씨 1
 
2.5%
Other values (21) 21
52.5%
2024-04-16T22:38:01.137062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
 
10.2%
) 32
 
9.9%
( 32
 
9.9%
환 25
 
7.7%
경 25
 
7.7%
이 9
 
2.8%
엔 8
 
2.5%
지 7
 
2.2%
기 7
 
2.2%
술 7
 
2.2%
Other values (75) 139
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
80.2%
Close Punctuation 32
 
9.9%
Open Punctuation 32
 
9.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
 
12.7%
환 25
 
9.6%
경 25
 
9.6%
이 9
 
3.5%
엔 8
 
3.1%
지 7
 
2.7%
기 7
 
2.7%
술 7
 
2.7%
영 7
 
2.7%
동 6
 
2.3%
Other values (73) 126
48.5%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
80.2%
Common 64
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
 
12.7%
환 25
 
9.6%
경 25
 
9.6%
이 9
 
3.5%
엔 8
 
3.1%
지 7
 
2.7%
기 7
 
2.7%
술 7
 
2.7%
영 7
 
2.7%
동 6
 
2.3%
Other values (73) 126
48.5%
Common
ValueCountFrequency (%)
) 32
50.0%
( 32
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
80.2%
ASCII 64
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
 
12.7%
환 25
 
9.6%
경 25
 
9.6%
이 9
 
3.5%
엔 8
 
3.1%
지 7
 
2.7%
기 7
 
2.7%
술 7
 
2.7%
영 7
 
2.7%
동 6
 
2.3%
Other values (73) 126
48.5%
ASCII
ValueCountFrequency (%)
) 32
50.0%
( 32
50.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0191997 × 1013
Minimum2.0140724 × 1013
Maximum2.0210423 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:01.266070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0140724 × 1013
5-th percentile2.0151168 × 1013
Q12.018102 × 1013
median2.0200405 × 1013
Q32.0210319 × 1013
95-th percentile2.021041 × 1013
Maximum2.0210423 × 1013
Range6.9699041 × 1010
Interquartile range (IQR)2.9298992 × 1010

Descriptive statistics

Standard deviation2.0894686 × 1010
Coefficient of variation (CV)0.0010348003
Kurtosis-0.31934855
Mean2.0191997 × 1013
Median Absolute Deviation (MAD)1.0013479 × 1010
Skewness-0.85322718
Sum8.076799 × 1014
Variance4.3658789 × 1020
MonotonicityNot monotonic
2024-04-16T22:38:01.426903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20210322200842 1
 
2.5%
20210219100933 1
 
2.5%
20150511092306 1
 
2.5%
20170613103919 1
 
2.5%
20170329160125 1
 
2.5%
20170206190058 1
 
2.5%
20151202164608 1
 
2.5%
20140724144403 1
 
2.5%
20151202164711 1
 
2.5%
20210324104112 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
20140724144403 1
2.5%
20150511092306 1
2.5%
20151202164608 1
2.5%
20151202164711 1
2.5%
20170206185824 1
2.5%
20170206190058 1
2.5%
20170206190214 1
2.5%
20170329160125 1
2.5%
20170613103919 1
2.5%
20181008111019 1
2.5%
ValueCountFrequency (%)
20210423185833 1
2.5%
20210413140200 1
2.5%
20210410191953 1
2.5%
20210410183134 1
2.5%
20210410173755 1
2.5%
20210403174519 1
2.5%
20210324104112 1
2.5%
20210323141543 1
2.5%
20210322204046 1
2.5%
20210322200842 1
2.5%

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
I
21 
U
19 

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 21
52.5%
U 19
47.5%

Length

2024-04-16T22:38:01.554342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:01.640618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
52.5%
u 19
47.5%

데이터갱신일자
Date

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2018-10-10 02:37:31
Maximum2021-04-25 02:40:00
2024-04-16T22:38:01.770995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T22:38:01.894013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing9
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean388581.89
Minimum378026
Maximum405926.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:02.001716image/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
2024-04-16T22:38:02.102349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
380645.672312821 3
 
7.5%
403947.265423154 3
 
7.5%
380903.012198435 2
 
5.0%
388316.452069542 2
 
5.0%
385468.443590649 2
 
5.0%
380810.22770681 1
 
2.5%
389635.415888168 1
 
2.5%
378026.0 1
 
2.5%
390027.195360975 1
 
2.5%
389000.736159624 1
 
2.5%
Other values (14) 14
35.0%
(Missing) 9
22.5%
ValueCountFrequency (%)
378026.0 1
 
2.5%
380267.363894927 1
 
2.5%
380645.672312821 3
7.5%
380798.838967553 1
 
2.5%
380810.22770681 1
 
2.5%
380903.012198435 2
5.0%
382070.620479643 1
 
2.5%
385468.443590649 2
5.0%
385562.010254537 1
 
2.5%
385591.248001476 1
 
2.5%
ValueCountFrequency (%)
405926.804044414 1
 
2.5%
405397.470560958 1
 
2.5%
403947.265423154 3
7.5%
393605.930358633 1
 
2.5%
390624.256291267 1
 
2.5%
390298.143755228 1
 
2.5%
390027.195360975 1
 
2.5%
389635.415888168 1
 
2.5%
389563.586926279 1
 
2.5%
389153.361849672 1
 
2.5%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing9
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean192103.96
Minimum179969.55
Maximum206746.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:02.226061image/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
2024-04-16T22:38:02.342984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
186073.362666348 3
 
7.5%
203667.051343927 3
 
7.5%
190017.436488015 2
 
5.0%
191178.011028057 2
 
5.0%
192213.626512424 2
 
5.0%
189958.115183768 1
 
2.5%
199385.436227116 1
 
2.5%
192626.0 1
 
2.5%
199378.846451463 1
 
2.5%
189574.207456438 1
 
2.5%
Other values (14) 14
35.0%
(Missing) 9
22.5%
ValueCountFrequency (%)
179969.546905958 1
 
2.5%
181425.423838974 1
 
2.5%
184778.657753035 1
 
2.5%
185570.898130941 1
 
2.5%
185844.723433596 1
 
2.5%
186073.362666348 3
7.5%
186206.529740488 1
 
2.5%
188324.973749177 1
 
2.5%
189574.207456438 1
 
2.5%
189958.115183768 1
 
2.5%
ValueCountFrequency (%)
206746.790462324 1
 
2.5%
206457.785803911 1
 
2.5%
203667.051343927 3
7.5%
199385.436227116 1
 
2.5%
199378.846451463 1
 
2.5%
194640.53698599 1
 
2.5%
193959.335175462 1
 
2.5%
192626.0 1
 
2.5%
192333.059006559 1
 
2.5%
192213.626512424 2
5.0%

실험실면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
31 
42.5
 
3
0.0
 
2
83.38
 
2
91.09
 
1

Length

Max length5
Median length4
Mean length4.025
Min length3

Unique

Unique2 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
77.5%
42.5 3
 
7.5%
0.0 2
 
5.0%
83.38 2
 
5.0%
91.09 1
 
2.5%
46.2 1
 
2.5%

Length

2024-04-16T22:38:02.469266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:02.588751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
77.5%
42.5 3
 
7.5%
0.0 2
 
5.0%
83.38 2
 
5.0%
91.09 1
 
2.5%
46.2 1
 
2.5%

사업장구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
환경관리대행기관
40 

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 40
100.0%

Length

2024-04-16T22:38:02.696284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:02.776073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경관리대행기관 40
100.0%

영업소면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
35 
433.44
 
3
23.0
 
1
0.0
 
1

Length

Max length6
Median length4
Mean length4.125
Min length3

Unique

Unique2 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
87.5%
433.44 3
 
7.5%
23.0 1
 
2.5%
0.0 1
 
2.5%

Length

2024-04-16T22:38:02.872495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:03.216441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
87.5%
433.44 3
 
7.5%
23.0 1
 
2.5%
0.0 1
 
2.5%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

실험실지역코드
Categorical

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
29 
2632010300
4 
4833010400
3 
2641010900
 
2
2653010200
 
1

Length

Max length10
Median length4
Mean length5.65
Min length4

Unique

Unique2 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
72.5%
2632010300 4
 
10.0%
4833010400 3
 
7.5%
2641010900 2
 
5.0%
2653010200 1
 
2.5%
2653010500 1
 
2.5%

Length

2024-04-16T22:38:03.323146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:03.437744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
72.5%
2632010300 4
 
10.0%
4833010400 3
 
7.5%
2641010900 2
 
5.0%
2653010200 1
 
2.5%
2653010500 1
 
2.5%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)63.6%
Missing29
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean151313.55
Minimum46271
Maximum626800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:03.526509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46271
5-th percentile46439
Q146607
median46916
Q350616
95-th percentile618311
Maximum626800
Range580529
Interquartile range (IQR)4009

Descriptive statistics

Standard deviation230926.28
Coefficient of variation (CV)1.5261441
Kurtosis2.0453697
Mean151313.55
Median Absolute Deviation (MAD)309
Skewness1.9237332
Sum1664449
Variance5.3326948 × 1010
MonotonicityNot monotonic
2024-04-16T22:38:03.617850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
46607 4
 
10.0%
50616 2
 
5.0%
46916 1
 
2.5%
46271 1
 
2.5%
609822 1
 
2.5%
46980 1
 
2.5%
626800 1
 
2.5%
(Missing) 29
72.5%
ValueCountFrequency (%)
46271 1
 
2.5%
46607 4
10.0%
46916 1
 
2.5%
46980 1
 
2.5%
50616 2
5.0%
609822 1
 
2.5%
626800 1
 
2.5%
ValueCountFrequency (%)
626800 1
 
2.5%
609822 1
 
2.5%
50616 2
5.0%
46980 1
 
2.5%
46916 1
 
2.5%
46607 4
10.0%
46271 1
 
2.5%

실험실산
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
26 
0
9 
1
5 

Length

Max length4
Median length4
Mean length2.95
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
65.0%
0 9
 
22.5%
1 5
 
12.5%

Length

2024-04-16T22:38:03.756728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:03.884425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
65.0%
0 9
 
22.5%
1 5
 
12.5%

실험실번지
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)54.5%
Missing29
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean351.27273
Minimum122
Maximum687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:03.968687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile201
Q1281
median302
Q3310
95-th percentile687
Maximum687
Range565
Interquartile range (IQR)29

Descriptive statistics

Standard deviation174.28947
Coefficient of variation (CV)0.49616567
Kurtosis1.4502454
Mean351.27273
Median Absolute Deviation (MAD)20
Skewness1.4326252
Sum3864
Variance30376.818
MonotonicityNot monotonic
2024-04-16T22:38:04.083385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
302 4
 
10.0%
687 2
 
5.0%
280 2
 
5.0%
282 1
 
2.5%
122 1
 
2.5%
318 1
 
2.5%
(Missing) 29
72.5%
ValueCountFrequency (%)
122 1
 
2.5%
280 2
5.0%
282 1
 
2.5%
302 4
10.0%
318 1
 
2.5%
687 2
5.0%
ValueCountFrequency (%)
687 2
5.0%
318 1
 
2.5%
302 4
10.0%
282 1
 
2.5%
280 2
5.0%
122 1
 
2.5%

실험실호
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)54.5%
Missing29
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean3.8181818
Minimum0
Maximum15
Zeros4
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:04.201039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36.5
95-th percentile11
Maximum15
Range15
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation4.6436663
Coefficient of variation (CV)1.2161983
Kurtosis2.4308484
Mean3.8181818
Median Absolute Deviation (MAD)2
Skewness1.5106979
Sum42
Variance21.563636
MonotonicityNot monotonic
2024-04-16T22:38:04.309686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4
 
10.0%
7 2
 
5.0%
2 2
 
5.0%
6 1
 
2.5%
15 1
 
2.5%
3 1
 
2.5%
(Missing) 29
72.5%
ValueCountFrequency (%)
0 4
10.0%
2 2
5.0%
3 1
 
2.5%
6 1
 
2.5%
7 2
5.0%
15 1
 
2.5%
ValueCountFrequency (%)
15 1
 
2.5%
7 2
5.0%
6 1
 
2.5%
3 1
 
2.5%
2 2
5.0%
0 4
10.0%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

실험실특수주소
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing34
Missing (%)85.0%
Memory size452.0 B
2024-04-16T22:38:04.431846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length5.1666667
Min length4

Characters and Unicode

Total characters31
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 (%)33.3%

Sample

1st row다산타워
2nd row다산타워
3rd row다산타워
4th row지에이치환경(주)
5th row다산타워
ValueCountFrequency (%)
다산타워 4
66.7%
지에이치환경(주 1
 
16.7%
세종빌딩6층 1
 
16.7%
2024-04-16T22:38:04.666691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 4
12.9%
타 4
12.9%
워 4
12.9%
산 4
12.9%
주 1
 
3.2%
6 1
 
3.2%
딩 1
 
3.2%
빌 1
 
3.2%
종 1
 
3.2%
세 1
 
3.2%
Other values (9) 9
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
90.3%
Decimal Number 1
 
3.2%
Close Punctuation 1
 
3.2%
Open Punctuation 1
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 4
14.3%
타 4
14.3%
워 4
14.3%
산 4
14.3%
주 1
 
3.6%
딩 1
 
3.6%
빌 1
 
3.6%
종 1
 
3.6%
세 1
 
3.6%
경 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
90.3%
Common 3
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 4
14.3%
타 4
14.3%
워 4
14.3%
산 4
14.3%
주 1
 
3.6%
딩 1
 
3.6%
빌 1
 
3.6%
종 1
 
3.6%
세 1
 
3.6%
경 1
 
3.6%
Other values (6) 6
21.4%
Common
ValueCountFrequency (%)
6 1
33.3%
) 1
33.3%
( 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
90.3%
ASCII 3
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 4
14.3%
타 4
14.3%
워 4
14.3%
산 4
14.3%
주 1
 
3.6%
딩 1
 
3.6%
빌 1
 
3.6%
종 1
 
3.6%
세 1
 
3.6%
경 1
 
3.6%
Other values (6) 6
21.4%
ASCII
ValueCountFrequency (%)
6 1
33.3%
) 1
33.3%
( 1
33.3%

실험실특수주소동
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
4
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
4 1
 
2.5%

Length

2024-04-16T22:38:04.774973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:04.859501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
4 1
 
2.5%

실험실특수주소호
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
37 
402
 
1
401
 
1
101
 
1

Length

Max length4
Median length4
Mean length3.925
Min length3

Unique

Unique3 ?
Unique (%)7.5%

Sample

1st row<NA>
2nd row<NA>
3rd row402
4th row<NA>
5th row401

Common Values

ValueCountFrequency (%)
<NA> 37
92.5%
402 1
 
2.5%
401 1
 
2.5%
101 1
 
2.5%

Length

2024-04-16T22:38:04.993005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:05.093443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
92.5%
402 1
 
2.5%
401 1
 
2.5%
101 1
 
2.5%

실험실도로명주소시군구코드
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)37.0%
Missing13
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean28050.37
Minimum26260
Maximum48330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:05.176571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26260
5-th percentile26299
Q126320
median26410
Q326530
95-th percentile41844
Maximum48330
Range22070
Interquartile range (IQR)210

Descriptive statistics

Standard deviation5846.3661
Coefficient of variation (CV)0.20842385
Kurtosis10.659524
Mean28050.37
Median Absolute Deviation (MAD)90
Skewness3.4448491
Sum757360
Variance34179996
MonotonicityNot monotonic
2024-04-16T22:38:05.260887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
26320 6
15.0%
26530 6
15.0%
26410 4
 
10.0%
48330 2
 
5.0%
26440 2
 
5.0%
26710 2
 
5.0%
26380 2
 
5.0%
26350 1
 
2.5%
26290 1
 
2.5%
26260 1
 
2.5%
(Missing) 13
32.5%
ValueCountFrequency (%)
26260 1
 
2.5%
26290 1
 
2.5%
26320 6
15.0%
26350 1
 
2.5%
26380 2
 
5.0%
26410 4
10.0%
26440 2
 
5.0%
26530 6
15.0%
26710 2
 
5.0%
48330 2
 
5.0%
ValueCountFrequency (%)
48330 2
 
5.0%
26710 2
 
5.0%
26530 6
15.0%
26440 2
 
5.0%
26410 4
10.0%
26380 2
 
5.0%
26350 1
 
2.5%
26320 6
15.0%
26290 1
 
2.5%
26260 1
 
2.5%

실험실도로명주소읍면동코드
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)48.1%
Missing13
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean2.8050486 × 109
Minimum2.6260108 × 109
Maximum4.8330104 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:05.368030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6260108 × 109
5-th percentile2.6299107 × 109
Q12.6320103 × 109
median2.6410109 × 109
Q32.6530105 × 109
95-th percentile4.1844149 × 109
Maximum4.8330104 × 109
Range2.2069996 × 109
Interquartile range (IQR)21000200

Descriptive statistics

Standard deviation5.8463632 × 108
Coefficient of variation (CV)0.20842288
Kurtosis10.659519
Mean2.8050486 × 109
Median Absolute Deviation (MAD)9000600
Skewness3.4448479
Sum7.5736312 × 1010
Variance3.4179963 × 1017
MonotonicityNot monotonic
2024-04-16T22:38:05.455372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2632010300 6
15.0%
2653010500 4
 
10.0%
2641010900 3
 
7.5%
4833010400 2
 
5.0%
2644010100 2
 
5.0%
2671025300 2
 
5.0%
2638010600 2
 
5.0%
2635010500 1
 
2.5%
2653010200 1
 
2.5%
2629010900 1
 
2.5%
Other values (3) 3
 
7.5%
(Missing) 13
32.5%
ValueCountFrequency (%)
2626010800 1
 
2.5%
2629010900 1
 
2.5%
2632010300 6
15.0%
2635010500 1
 
2.5%
2638010600 2
 
5.0%
2641010300 1
 
2.5%
2641010900 3
7.5%
2644010100 2
 
5.0%
2653010200 1
 
2.5%
2653010400 1
 
2.5%
ValueCountFrequency (%)
4833010400 2
5.0%
2671025300 2
5.0%
2653010500 4
10.0%
2653010400 1
 
2.5%
2653010200 1
 
2.5%
2644010100 2
5.0%
2641010900 3
7.5%
2641010300 1
 
2.5%
2638010600 2
5.0%
2635010500 1
 
2.5%

실험실도로명주소읍면동구분
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
1
25 
<NA>
13 
0
 
2

Length

Max length4
Median length1
Mean length1.975
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
62.5%
<NA> 13
32.5%
0 2
 
5.0%

Length

2024-04-16T22:38:05.578745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:05.672762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
62.5%
na 13
32.5%
0 2
 
5.0%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)48.1%
Missing13
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean3822660.1
Minimum3133020
Maximum4217302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:05.758145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3133020
5-th percentile3136238.6
Q13140067
median4196163
Q34203671
95-th percentile4214570.4
Maximum4217302
Range1084282
Interquartile range (IQR)1063604

Descriptive statistics

Standard deviation506293.47
Coefficient of variation (CV)0.13244533
Kurtosis-1.7424596
Mean3822660.1
Median Absolute Deviation (MAD)12099
Skewness-0.59751903
Sum1.0321182 × 108
Variance2.5633308 × 1011
MonotonicityNot monotonic
2024-04-16T22:38:05.882539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4196163 6
15.0%
3139012 4
 
10.0%
4205140 3
 
7.5%
3338098 2
 
5.0%
4208262 2
 
5.0%
3140067 2
 
5.0%
4202202 2
 
5.0%
3133020 1
 
2.5%
4217274 1
 
2.5%
4193094 1
 
2.5%
Other values (3) 3
 
7.5%
(Missing) 13
32.5%
ValueCountFrequency (%)
3133020 1
 
2.5%
3135050 1
 
2.5%
3139012 4
10.0%
3140067 2
 
5.0%
3338098 2
 
5.0%
4190380 1
 
2.5%
4193094 1
 
2.5%
4196163 6
15.0%
4202202 2
 
5.0%
4205140 3
7.5%
ValueCountFrequency (%)
4217302 1
 
2.5%
4217274 1
 
2.5%
4208262 2
 
5.0%
4205140 3
7.5%
4202202 2
 
5.0%
4196163 6
15.0%
4193094 1
 
2.5%
4190380 1
 
2.5%
3338098 2
 
5.0%
3140067 2
 
5.0%

실험실도로명특수주소
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing34
Missing (%)85.0%
Memory size452.0 B
2024-04-16T22:38:05.990634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length5
Min length4

Characters and Unicode

Total characters30
Distinct characters15
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

Unique2 ?
Unique (%)33.3%

Sample

1st row다산타워
2nd row다산타워
3rd row다산타워
4th row금호환경산업사
5th row다산타워
ValueCountFrequency (%)
다산타워 4
66.7%
금호환경산업사 1
 
16.7%
주)한신환경 1
 
16.7%
2024-04-16T22:38:06.229379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 5
16.7%
다 4
13.3%
타 4
13.3%
워 4
13.3%
환 2
 
6.7%
경 2
 
6.7%
금 1
 
3.3%
호 1
 
3.3%
업 1
 
3.3%
사 1
 
3.3%
Other values (5) 5
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
93.3%
Open Punctuation 1
 
3.3%
Close Punctuation 1
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 5
17.9%
다 4
14.3%
타 4
14.3%
워 4
14.3%
환 2
 
7.1%
경 2
 
7.1%
금 1
 
3.6%
호 1
 
3.6%
업 1
 
3.6%
사 1
 
3.6%
Other values (3) 3
10.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
93.3%
Common 2
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 5
17.9%
다 4
14.3%
타 4
14.3%
워 4
14.3%
환 2
 
7.1%
경 2
 
7.1%
금 1
 
3.6%
호 1
 
3.6%
업 1
 
3.6%
사 1
 
3.6%
Other values (3) 3
10.7%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
93.3%
ASCII 2
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 5
17.9%
다 4
14.3%
타 4
14.3%
워 4
14.3%
환 2
 
7.1%
경 2
 
7.1%
금 1
 
3.6%
호 1
 
3.6%
업 1
 
3.6%
사 1
 
3.6%
Other values (3) 3
10.7%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
0
27 
<NA>
13 

Length

Max length4
Median length1
Mean length1.975
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
67.5%
<NA> 13
32.5%

Length

2024-04-16T22:38:06.362089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:06.480713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
67.5%
na 13
32.5%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)48.1%
Missing13
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean61.37037
Minimum1
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:06.579882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110.5
median30
Q373
95-th percentile197
Maximum203
Range202
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation73.062749
Coefficient of variation (CV)1.1905216
Kurtosis-0.33306133
Mean61.37037
Median Absolute Deviation (MAD)24
Skewness1.1596921
Sum1657
Variance5338.1652
MonotonicityNot monotonic
2024-04-16T22:38:06.681054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 6
15.0%
30 4
 
10.0%
183 4
 
10.0%
203 2
 
5.0%
54 2
 
5.0%
14 2
 
5.0%
48 1
 
2.5%
39 1
 
2.5%
11 1
 
2.5%
10 1
 
2.5%
Other values (3) 3
 
7.5%
(Missing) 13
32.5%
ValueCountFrequency (%)
1 6
15.0%
10 1
 
2.5%
11 1
 
2.5%
14 2
 
5.0%
20 1
 
2.5%
30 4
10.0%
37 1
 
2.5%
39 1
 
2.5%
48 1
 
2.5%
54 2
 
5.0%
ValueCountFrequency (%)
203 2
5.0%
183 4
10.0%
92 1
 
2.5%
54 2
5.0%
48 1
 
2.5%
39 1
 
2.5%
37 1
 
2.5%
30 4
10.0%
20 1
 
2.5%
14 2
5.0%

실험실도로명주소건물부번호
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
30 
0
9 
1
 
1

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
75.0%
0 9
 
22.5%
1 1
 
2.5%

Length

2024-04-16T22:38:06.793097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T22:38:06.890355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
75.0%
0 9
 
22.5%
1 1
 
2.5%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)51.9%
Missing13
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean215049.15
Minimum46271
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-16T22:38:06.969414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46271
5-th percentile46607
Q146653.5
median46980
Q3608330.5
95-th percentile619308.5
Maximum619952
Range573681
Interquartile range (IQR)561677

Descriptive statistics

Standard deviation263148.83
Coefficient of variation (CV)1.2236683
Kurtosis-1.1994152
Mean215049.15
Median Absolute Deviation (MAD)709
Skewness0.94588771
Sum5806327
Variance6.9247309 × 1010
MonotonicityNot monotonic
2024-04-16T22:38:07.058388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
46607 6
15.0%
46980 4
 
10.0%
609822 2
 
5.0%
50616 2
 
5.0%
46700 2
 
5.0%
619952 2
 
5.0%
49514 2
 
5.0%
48059 1
 
2.5%
46916 1
 
2.5%
46271 1
 
2.5%
Other values (4) 4
 
10.0%
(Missing) 13
32.5%
ValueCountFrequency (%)
46271 1
 
2.5%
46607 6
15.0%
46700 2
 
5.0%
46916 1
 
2.5%
46980 4
10.0%
48059 1
 
2.5%
49514 2
 
5.0%
50616 2
 
5.0%
607840 1
 
2.5%
608821 1
 
2.5%
ValueCountFrequency (%)
619952 2
5.0%
617807 1
 
2.5%
609843 1
 
2.5%
609822 2
5.0%
608821 1
 
2.5%
607840 1
 
2.5%
50616 2
5.0%
49514 2
5.0%
48059 1
 
2.5%
46980 4
10.0%

Unnamed: 51
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호Unnamed: 51
01환경관리대행기관09_30_15_P626000062600001020130000720210322<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 백양대로 539-35 (주례동)617836(주)영동엔지니어링20210322200842U2021-03-24 02:40:00.0<NA><NA><NA><NA>환경관리대행기관<NA><NA>26320103004660703020<NA><NA>다산타워<NA><NA>26320263201030014196163다산타워01046607<NA>
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_P626000062600001020130000920210323<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 여고로 61 (사직동)607818(주)한서엔텍20210323141543U2021-03-25 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_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>
56환경관리대행기관09_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>
67환경관리대행기관09_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>
78환경관리대행기관09_30_15_P626000062600001020200000220210413<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 137-5부산광역시 동래구 미남로 70, 지하 1층 (사직동)<NA>(주)디에이치환경측정연구소20210413140200U2021-04-15 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>
89환경관리대행기관09_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>
910환경관리대행기관09_30_15_P626000062600001020210000520210410<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 대저1동 2300-3 강서구청역부산광역시 강서구 낙동북로 485, 강서구청역 4층 (대저1동)<NA>부산도시철도운영서비스주식회사20210410173755I2021-04-13 00:22:58.0<NA><NA><NA><NA>환경관리대행기관<NA><NA>26320103004660703020<NA><NA>다산타워4<NA>26320263201030014196163다산타워01046607<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호Unnamed: 51
3031환경관리대행기관09_30_15_P626000062600001020150000320200610<NA>3폐업Q폐업20191118<NA><NA><NA><NA><NA><NA><NA>부산광역시 북구 만덕2로17번길 1, 402호 (만덕동)46607세영환경산업(주)20210324104112U2021-03-26 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>
3132환경관리대행기관09_30_15_P626000062600001020150000420151112<NA>3폐업Q폐업20161115<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 월드컵대로187번길 6 (거제동)47537(주)한솔이앤씨20170206185824I2019-03-23 02:20:03.0<NA>389000.73616189574.207456<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3233환경관리대행기관09_30_15_P626000062600001020130000220150827<NA>3폐업Q폐업20160204<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 청룡로 30-1 (청룡동)609843(주)고성인텍20170206190214I2019-03-23 02:20:03.0<NA>390027.195361199378.846451<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26410264101030013135050<NA>0301609843<NA>
3334환경관리대행기관09_30_15_P626000062600001020190000220190216<NA>3폐업Q폐업20190219<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 여고북로73번길 37 (온천동)607840(주)대한환경이엔지20190219111410U2019-02-21 02:40:00.0<NA>388316.45207191178.011028<NA>환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26260262601080014190380<NA>037<NA>607840<NA>
3435환경관리대행기관09_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>
3536환경관리대행기관09_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>
3637환경관리대행기관09_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>
3738환경관리대행기관09_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>
3839환경관리대행기관09_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>
3940환경관리대행기관09_30_15_P626000062600001020170000320181112<NA>3폐업Q폐업20181112<NA><NA><NA><NA><NA>46033부산광역시 기장군 장안읍 좌천리 520번지부산광역시 기장군 장안읍 좌천로 40, 1층46033동부환경20181112140243I2018-11-14 02:37:29.0<NA>403947.265423203667.0513440.0환경관리대행기관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>