Overview

Dataset statistics

Number of variables52
Number of observations141
Missing cells3527
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.9 KiB
Average record size in memory456.9 B

Variable types

Numeric19
Categorical15
Unsupported14
Text4

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123164

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
사업장구분명 has constant value ""Constant
실험실면적 is highly imbalanced (89.4%)Imbalance
실험실산 is highly imbalanced (65.4%)Imbalance
실험실도로명주소읍면동구분 is highly imbalanced (72.8%)Imbalance
실험실도로명주소건물층구분 is highly imbalanced (63.1%)Imbalance
실험실도로명주소건물부번호 is highly imbalanced (87.5%)Imbalance
인허가취소일자 has 141 (100.0%) missing valuesMissing
폐업일자 has 44 (31.2%) missing valuesMissing
휴업시작일자 has 141 (100.0%) missing valuesMissing
휴업종료일자 has 141 (100.0%) missing valuesMissing
재개업일자 has 141 (100.0%) missing valuesMissing
소재지전화 has 141 (100.0%) missing valuesMissing
소재지면적 has 141 (100.0%) missing valuesMissing
소재지우편번호 has 35 (24.8%) missing valuesMissing
소재지전체주소 has 32 (22.7%) missing valuesMissing
도로명전체주소 has 2 (1.4%) missing valuesMissing
도로명우편번호 has 7 (5.0%) missing valuesMissing
업태구분명 has 141 (100.0%) missing valuesMissing
좌표정보(x) has 8 (5.7%) missing valuesMissing
좌표정보(y) has 8 (5.7%) missing valuesMissing
영업소면적 has 119 (84.4%) missing valuesMissing
위탁업체명 has 141 (100.0%) missing valuesMissing
실험실지역코드 has 125 (88.7%) missing valuesMissing
실험실우편번호 has 125 (88.7%) missing valuesMissing
실험실번지 has 127 (90.1%) missing valuesMissing
실험실호 has 129 (91.5%) missing valuesMissing
실험실통 has 141 (100.0%) missing valuesMissing
실험실반 has 141 (100.0%) missing valuesMissing
실험실특수주소 has 137 (97.2%) missing valuesMissing
실험실특수주소동 has 141 (100.0%) missing valuesMissing
실험실특수주소호 has 141 (100.0%) missing valuesMissing
실험실도로명주소시군구코드 has 131 (92.9%) missing valuesMissing
실험실도로명주소읍면동코드 has 131 (92.9%) missing valuesMissing
실험실도로명주소코드 has 131 (92.9%) missing valuesMissing
실험실도로명특수주소 has 141 (100.0%) missing valuesMissing
실험실도로명주소건물본번호 has 131 (92.9%) missing valuesMissing
실험실도로명주소우편번호 has 131 (92.9%) missing valuesMissing
Unnamed: 51 has 141 (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
실험실특수주소호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 51 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-18 01:47:08.180813
Analysis finished2024-04-18 01:47:08.664647
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71
Minimum1
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:08.720313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q136
median71
Q3106
95-th percentile134
Maximum141
Range140
Interquartile range (IQR)70

Descriptive statistics

Standard deviation40.847277
Coefficient of variation (CV)0.57531375
Kurtosis-1.2
Mean71
Median Absolute Deviation (MAD)35
Skewness0
Sum10011
Variance1668.5
MonotonicityStrictly increasing
2024-04-18T10:47:08.844481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (131) 131
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
환경전문공사업
141 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경전문공사업 141
100.0%

Length

2024-04-18T10:47:08.954390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:09.027012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경전문공사업 141
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
09_30_16_P
141 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_16_P
2nd row09_30_16_P
3rd row09_30_16_P
4th row09_30_16_P
5th row09_30_16_P

Common Values

ValueCountFrequency (%)
09_30_16_P 141
100.0%

Length

2024-04-18T10:47:09.103899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:09.179765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_16_p 141
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
6260000
141 

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 141
100.0%

Length

2024-04-18T10:47:09.254187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:09.329230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 141
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct141
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 size1.4 KiB
2024-04-18T10:47:09.409527image/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
Range1500001
Interquartile range (IQR)699904

Descriptive statistics

Standard deviation463709.73
Coefficient of variation (CV)7.4075036 × 10-13
Kurtosis-0.46354285
Mean6.2600001 × 1017
Median Absolute Deviation (MAD)199936
Skewness0.94414288
Sum-3.9677191 × 1018
Variance2.1502671 × 1011
MonotonicityNot monotonic
2024-04-18T10:47:09.520338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626000009201700007 1
 
0.7%
626000009201400005 1
 
0.7%
626000009201700005 1
 
0.7%
626000009201600002 1
 
0.7%
626000009201600001 1
 
0.7%
626000009201500004 1
 
0.7%
626000009201500002 1
 
0.7%
626000009201500001 1
 
0.7%
626000009200600030 1
 
0.7%
626000009201800003 1
 
0.7%
Other values (131) 131
92.9%
ValueCountFrequency (%)
626000009200600001 1
0.7%
626000009200600002 1
0.7%
626000009200600003 1
0.7%
626000009200600004 1
0.7%
626000009200600005 1
0.7%
626000009200600006 1
0.7%
626000009200600007 1
0.7%
626000009200600008 1
0.7%
626000009200600009 1
0.7%
626000009200600010 1
0.7%
ValueCountFrequency (%)
626000009202100002 1
0.7%
626000009202100001 1
0.7%
626000009202000005 1
0.7%
626000009202000004 1
0.7%
626000009202000003 1
0.7%
626000009202000002 1
0.7%
626000009202000001 1
0.7%
626000009201900003 1
0.7%
626000009201900002 1
0.7%
626000009201900001 1
0.7%

인허가일자
Real number (ℝ)

Distinct123
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136748
Minimum20060727
Maximum20210224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:09.632941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060727
5-th percentile20060728
Q120090528
median20140221
Q320190617
95-th percentile20201214
Maximum20210224
Range149497
Interquartile range (IQR)100089

Descriptive statistics

Standard deviation51278.029
Coefficient of variation (CV)0.00254649
Kurtosis-1.5422178
Mean20136748
Median Absolute Deviation (MAD)50292
Skewness-0.027163565
Sum2.8392815 × 109
Variance2.6294362 × 109
MonotonicityNot monotonic
2024-04-18T10:47:09.742916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060728 9
 
6.4%
20090817 3
 
2.1%
20200915 2
 
1.4%
20070115 2
 
1.4%
20201214 2
 
1.4%
20191203 2
 
1.4%
20100311 2
 
1.4%
20190703 2
 
1.4%
20210119 2
 
1.4%
20090910 2
 
1.4%
Other values (113) 113
80.1%
ValueCountFrequency (%)
20060727 1
 
0.7%
20060728 9
6.4%
20061221 1
 
0.7%
20070115 2
 
1.4%
20070226 1
 
0.7%
20070417 1
 
0.7%
20070608 1
 
0.7%
20070621 1
 
0.7%
20070816 1
 
0.7%
20071109 1
 
0.7%
ValueCountFrequency (%)
20210224 1
0.7%
20210202 1
0.7%
20210121 1
0.7%
20210119 2
1.4%
20210111 1
0.7%
20201230 1
0.7%
20201214 2
1.4%
20201130 1
0.7%
20201118 1
0.7%
20201022 1
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
101 
1
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 101
71.6%
1 40
 
28.4%

Length

2024-04-18T10:47:09.851440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:09.930843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 101
71.6%
1 40
 
28.4%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
101 
영업/정상
40 

Length

Max length5
Median length2
Mean length2.8510638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 101
71.6%
영업/정상 40
 
28.4%

Length

2024-04-18T10:47:10.040653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:10.136430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 101
71.6%
영업/정상 40
 
28.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Q
101 
N
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Q 101
71.6%
N 40
 
28.4%

Length

2024-04-18T10:47:10.218711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:10.297431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q 101
71.6%
n 40
 
28.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
101 
신규
40 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 101
71.6%
신규 40
 
28.4%

Length

2024-04-18T10:47:10.377431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:10.455711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 101
71.6%
신규 40
 
28.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)88.7%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean20126788
Minimum20070124
Maximum20200429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:10.564942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070124
5-th percentile20070874
Q120090525
median20111109
Q320170329
95-th percentile20190862
Maximum20200429
Range130305
Interquartile range (IQR)79804

Descriptive statistics

Standard deviation42354.701
Coefficient of variation (CV)0.0021043945
Kurtosis-1.356859
Mean20126788
Median Absolute Deviation (MAD)30791
Skewness0.27006461
Sum1.9522984 × 109
Variance1.7939207 × 109
MonotonicityNot monotonic
2024-04-18T10:47:10.699862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190405 5
 
3.5%
20171019 2
 
1.4%
20070919 2
 
1.4%
20150721 2
 
1.4%
20171109 2
 
1.4%
20110413 2
 
1.4%
20191030 2
 
1.4%
20141103 2
 
1.4%
20090908 1
 
0.7%
20071122 1
 
0.7%
Other values (76) 76
53.9%
(Missing) 44
31.2%
ValueCountFrequency (%)
20070124 1
0.7%
20070326 1
0.7%
20070330 1
0.7%
20070612 1
0.7%
20070704 1
0.7%
20070917 1
0.7%
20070919 2
1.4%
20071004 1
0.7%
20071119 1
0.7%
20071122 1
0.7%
ValueCountFrequency (%)
20200429 1
 
0.7%
20200228 1
 
0.7%
20200218 1
 
0.7%
20191030 2
 
1.4%
20190820 1
 
0.7%
20190621 1
 
0.7%
20190405 5
3.5%
20190404 1
 
0.7%
20190128 1
 
0.7%
20181130 1
 
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)77.4%
Missing35
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean517386.95
Minimum46020
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:10.835135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile46706.75
Q1607804
median612035
Q3617817
95-th percentile618807
Maximum619961
Range573941
Interquartile range (IQR)10013

Descriptive statistics

Standard deviation213813.72
Coefficient of variation (CV)0.41325688
Kurtosis1.2023017
Mean517386.95
Median Absolute Deviation (MAD)5774
Skewness-1.782309
Sum54843017
Variance4.5716306 × 1010
MonotonicityNot monotonic
2024-04-18T10:47:10.967736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618270 7
 
5.0%
617801 4
 
2.8%
617809 3
 
2.1%
619961 2
 
1.4%
619952 2
 
1.4%
607804 2
 
1.4%
47330 2
 
1.4%
612020 2
 
1.4%
617805 2
 
1.4%
607834 2
 
1.4%
Other values (72) 78
55.3%
(Missing) 35
24.8%
ValueCountFrequency (%)
46020 1
0.7%
46047 1
0.7%
46201 2
1.4%
46228 1
0.7%
46702 1
0.7%
46721 1
0.7%
46752 1
0.7%
46754 1
0.7%
46758 1
0.7%
46759 1
0.7%
ValueCountFrequency (%)
619961 2
 
1.4%
619952 2
 
1.4%
619903 1
 
0.7%
618807 2
 
1.4%
618350 1
 
0.7%
618290 1
 
0.7%
618270 7
5.0%
618230 1
 
0.7%
618210 1
 
0.7%
617845 1
 
0.7%

소재지전체주소
Text

MISSING 

Distinct98
Distinct (%)89.9%
Missing32
Missing (%)22.7%
Memory size1.2 KiB
2024-04-18T10:47:11.254472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length26.623853
Min length14

Characters and Unicode

Total characters2902
Distinct characters154
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)79.8%

Sample

1st row부산광역시 금정구 청룡동 632-3
2nd row부산광역시 강서구 대저1동 444-5
3rd row부산광역시 금정구 청룡동 632-3
4th row부산광역시 사상구 감전동 157-3번지
5th row부산광역시 강서구 지사동 1198번지 12호 이레트윈빌딩 601호
ValueCountFrequency (%)
부산광역시 108
 
18.9%
사상구 21
 
3.7%
강서구 20
 
3.5%
동래구 13
 
2.3%
금정구 11
 
1.9%
송정동 9
 
1.6%
4호 8
 
1.4%
기장군 8
 
1.4%
5호 7
 
1.2%
2호 7
 
1.2%
Other values (248) 359
62.9%
2024-04-18T10:47:11.623017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
629
21.7%
1 154
 
5.3%
산 127
 
4.4%
부 122
 
4.2%
동 121
 
4.2%
광 110
 
3.8%
역 109
 
3.8%
시 109
 
3.8%
구 107
 
3.7%
호 97
 
3.3%
Other values (144) 1217
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1668
57.5%
Space Separator 629
 
21.7%
Decimal Number 583
 
20.1%
Dash Punctuation 18
 
0.6%
Uppercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 127
 
7.6%
부 122
 
7.3%
동 121
 
7.3%
광 110
 
6.6%
역 109
 
6.5%
시 109
 
6.5%
구 107
 
6.4%
호 97
 
5.8%
지 92
 
5.5%
번 90
 
5.4%
Other values (128) 584
35.0%
Decimal Number
ValueCountFrequency (%)
1 154
26.4%
2 74
12.7%
3 73
12.5%
4 51
 
8.7%
5 50
 
8.6%
0 49
 
8.4%
7 41
 
7.0%
6 39
 
6.7%
8 27
 
4.6%
9 25
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
629
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1668
57.5%
Common 1231
42.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 127
 
7.6%
부 122
 
7.3%
동 121
 
7.3%
광 110
 
6.6%
역 109
 
6.5%
시 109
 
6.5%
구 107
 
6.4%
호 97
 
5.8%
지 92
 
5.5%
번 90
 
5.4%
Other values (128) 584
35.0%
Common
ValueCountFrequency (%)
629
51.1%
1 154
 
12.5%
2 74
 
6.0%
3 73
 
5.9%
4 51
 
4.1%
5 50
 
4.1%
0 49
 
4.0%
7 41
 
3.3%
6 39
 
3.2%
8 27
 
2.2%
Other values (3) 44
 
3.6%
Latin
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1668
57.5%
ASCII 1234
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
629
51.0%
1 154
 
12.5%
2 74
 
6.0%
3 73
 
5.9%
4 51
 
4.1%
5 50
 
4.1%
0 49
 
4.0%
7 41
 
3.3%
6 39
 
3.2%
8 27
 
2.2%
Other values (6) 47
 
3.8%
Hangul
ValueCountFrequency (%)
산 127
 
7.6%
부 122
 
7.3%
동 121
 
7.3%
광 110
 
6.6%
역 109
 
6.5%
시 109
 
6.5%
구 107
 
6.4%
호 97
 
5.8%
지 92
 
5.5%
번 90
 
5.4%
Other values (128) 584
35.0%

도로명전체주소
Text

MISSING 

Distinct120
Distinct (%)86.3%
Missing2
Missing (%)1.4%
Memory size1.2 KiB
2024-04-18T10:47:11.893724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length28.266187
Min length16

Characters and Unicode

Total characters3929
Distinct characters210
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)74.1%

Sample

1st row부산광역시 금정구 범어사로 423 (청룡동)
2nd row부산광역시 강서구 대저로235번길 55 (대저1동)
3rd row부산광역시 금정구 범어사로 423 (청룡동)
4th row부산광역시 금정구 중앙대로1793번길 54 (부곡동)
5th row부산광역시 연제구 종합운동장로 36, 4층 (거제동,정은빌딩)
ValueCountFrequency (%)
부산광역시 137
 
18.4%
강서구 30
 
4.0%
사상구 23
 
3.1%
금정구 15
 
2.0%
동래구 15
 
2.0%
송정동 11
 
1.5%
기장군 10
 
1.3%
수영구 8
 
1.1%
해운대구 8
 
1.1%
사하구 8
 
1.1%
Other values (306) 480
64.4%
2024-04-18T10:47:12.270723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
606
 
15.4%
산 197
 
5.0%
동 166
 
4.2%
부 157
 
4.0%
광 146
 
3.7%
시 141
 
3.6%
역 138
 
3.5%
로 136
 
3.5%
구 136
 
3.5%
) 128
 
3.3%
Other values (200) 1978
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2365
60.2%
Decimal Number 616
 
15.7%
Space Separator 606
 
15.4%
Close Punctuation 128
 
3.3%
Open Punctuation 128
 
3.3%
Other Punctuation 61
 
1.6%
Dash Punctuation 18
 
0.5%
Uppercase Letter 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 197
 
8.3%
동 166
 
7.0%
부 157
 
6.6%
광 146
 
6.2%
시 141
 
6.0%
역 138
 
5.8%
로 136
 
5.8%
구 136
 
5.8%
대 53
 
2.2%
길 53
 
2.2%
Other values (179) 1042
44.1%
Decimal Number
ValueCountFrequency (%)
1 122
19.8%
2 98
15.9%
3 81
13.1%
0 63
10.2%
4 56
9.1%
6 55
8.9%
5 44
 
7.1%
7 41
 
6.7%
8 30
 
4.9%
9 26
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
I 1
14.3%
S 1
14.3%
A 1
14.3%
E 1
14.3%
P 1
14.3%
Space Separator
ValueCountFrequency (%)
606
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2365
60.2%
Common 1557
39.6%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 197
 
8.3%
동 166
 
7.0%
부 157
 
6.6%
광 146
 
6.2%
시 141
 
6.0%
역 138
 
5.8%
로 136
 
5.8%
구 136
 
5.8%
대 53
 
2.2%
길 53
 
2.2%
Other values (179) 1042
44.1%
Common
ValueCountFrequency (%)
606
38.9%
) 128
 
8.2%
( 128
 
8.2%
1 122
 
7.8%
2 98
 
6.3%
3 81
 
5.2%
0 63
 
4.0%
, 61
 
3.9%
4 56
 
3.6%
6 55
 
3.5%
Other values (5) 159
 
10.2%
Latin
ValueCountFrequency (%)
C 2
28.6%
I 1
14.3%
S 1
14.3%
A 1
14.3%
E 1
14.3%
P 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2365
60.2%
ASCII 1564
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
606
38.7%
) 128
 
8.2%
( 128
 
8.2%
1 122
 
7.8%
2 98
 
6.3%
3 81
 
5.2%
0 63
 
4.0%
, 61
 
3.9%
4 56
 
3.6%
6 55
 
3.5%
Other values (11) 166
 
10.6%
Hangul
ValueCountFrequency (%)
산 197
 
8.3%
동 166
 
7.0%
부 157
 
6.6%
광 146
 
6.2%
시 141
 
6.0%
역 138
 
5.8%
로 136
 
5.8%
구 136
 
5.8%
대 53
 
2.2%
길 53
 
2.2%
Other values (179) 1042
44.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)77.6%
Missing7
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean478416.04
Minimum46020
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:12.383370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile46632.8
Q1604810.25
median609849.5
Q3617809
95-th percentile619198.4
Maximum619961
Range573941
Interquartile range (IQR)12998.75

Descriptive statistics

Standard deviation242548.26
Coefficient of variation (CV)0.50698188
Kurtosis-0.47275568
Mean478416.04
Median Absolute Deviation (MAD)7959.5
Skewness-1.2380306
Sum64107749
Variance5.882966 × 1010
MonotonicityNot monotonic
2024-04-18T10:47:12.487362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
613813 3
 
2.1%
619952 3
 
2.1%
619961 3
 
2.1%
617809 3
 
2.1%
618818 3
 
2.1%
618819 3
 
2.1%
617801 3
 
2.1%
618280 3
 
2.1%
612020 2
 
1.4%
46754 2
 
1.4%
Other values (94) 106
75.2%
(Missing) 7
 
5.0%
ValueCountFrequency (%)
46020 1
0.7%
46047 1
0.7%
46201 2
1.4%
46228 1
0.7%
46241 1
0.7%
46508 1
0.7%
46700 1
0.7%
46702 1
0.7%
46720 1
0.7%
46721 1
0.7%
ValueCountFrequency (%)
619961 3
2.1%
619952 3
2.1%
619903 1
 
0.7%
618819 3
2.1%
618818 3
2.1%
618817 1
 
0.7%
618807 2
1.4%
618350 1
 
0.7%
618280 3
2.1%
618270 1
 
0.7%

사업장명
Text

Distinct113
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-18T10:47:12.733254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.2624113
Min length4

Characters and Unicode

Total characters1165
Distinct characters156
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)63.8%

Sample

1st row주식회사 한국종합플랜트
2nd row신라환경컨설팅(주)
3rd row주식회사 한국종합플랜트
4th row(주)삼호이엔지
5th row(주)우람
ValueCountFrequency (%)
주식회사 8
 
5.3%
주)한일환경플랜트 3
 
2.0%
주)국제기산 3
 
2.0%
아쿠아셀(주 3
 
2.0%
주)동현이엔씨 3
 
2.0%
현대환경산업 3
 
2.0%
부림산기(주 2
 
1.3%
주)보국환경기술 2
 
1.3%
주)홍해환경산업 2
 
1.3%
한국종합플랜트 2
 
1.3%
Other values (105) 119
79.3%
2024-04-18T10:47:13.215734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 130
 
11.2%
( 122
 
10.5%
) 122
 
10.5%
경 52
 
4.5%
환 49
 
4.2%
엔 40
 
3.4%
이 30
 
2.6%
산 22
 
1.9%
기 22
 
1.9%
지 21
 
1.8%
Other values (146) 555
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
77.2%
Open Punctuation 122
 
10.5%
Close Punctuation 122
 
10.5%
Uppercase Letter 11
 
0.9%
Space Separator 9
 
0.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 130
 
14.5%
경 52
 
5.8%
환 49
 
5.5%
엔 40
 
4.4%
이 30
 
3.3%
산 22
 
2.4%
기 22
 
2.4%
지 21
 
2.3%
텍 16
 
1.8%
어 16
 
1.8%
Other values (134) 501
55.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
18.2%
C 2
18.2%
E 2
18.2%
A 1
9.1%
P 1
9.1%
N 1
9.1%
S 1
9.1%
O 1
9.1%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
77.2%
Common 255
 
21.9%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 130
 
14.5%
경 52
 
5.8%
환 49
 
5.5%
엔 40
 
4.4%
이 30
 
3.3%
산 22
 
2.4%
기 22
 
2.4%
지 21
 
2.3%
텍 16
 
1.8%
어 16
 
1.8%
Other values (134) 501
55.7%
Latin
ValueCountFrequency (%)
B 2
18.2%
C 2
18.2%
E 2
18.2%
A 1
9.1%
P 1
9.1%
N 1
9.1%
S 1
9.1%
O 1
9.1%
Common
ValueCountFrequency (%)
( 122
47.8%
) 122
47.8%
9
 
3.5%
. 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
77.2%
ASCII 266
 
22.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 130
 
14.5%
경 52
 
5.8%
환 49
 
5.5%
엔 40
 
4.4%
이 30
 
3.3%
산 22
 
2.4%
기 22
 
2.4%
지 21
 
2.3%
텍 16
 
1.8%
어 16
 
1.8%
Other values (134) 501
55.7%
ASCII
ValueCountFrequency (%)
( 122
45.9%
) 122
45.9%
9
 
3.4%
B 2
 
0.8%
. 2
 
0.8%
C 2
 
0.8%
E 2
 
0.8%
A 1
 
0.4%
P 1
 
0.4%
N 1
 
0.4%
Other values (2) 2
 
0.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0151651 × 1013
Minimum2.0070406 × 1013
Maximum2.0210224 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:13.470725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070406 × 1013
5-th percentile2.0100622 × 1013
Q12.0100817 × 1013
median2.0151202 × 1013
Q32.0190915 × 1013
95-th percentile2.0201214 × 1013
Maximum2.0210224 × 1013
Range1.3981799 × 1011
Interquartile range (IQR)9.0097944 × 1010

Descriptive statistics

Standard deviation4.309611 × 1010
Coefficient of variation (CV)0.0021385895
Kurtosis-1.5523192
Mean2.0151651 × 1013
Median Absolute Deviation (MAD)4.9100002 × 1010
Skewness-0.16828711
Sum2.8413828 × 1015
Variance1.8572747 × 1021
MonotonicityNot monotonic
2024-04-18T10:47:13.614135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200928095258 1
 
0.7%
20170714103811 1
 
0.7%
20171024100527 1
 
0.7%
20170206185309 1
 
0.7%
20170309101937 1
 
0.7%
20190405142208 1
 
0.7%
20150806111216 1
 
0.7%
20170911163837 1
 
0.7%
20190823130818 1
 
0.7%
20190405141935 1
 
0.7%
Other values (131) 131
92.9%
ValueCountFrequency (%)
20070406143629 1
0.7%
20070706132201 1
0.7%
20080519152503 1
0.7%
20081229103309 1
0.7%
20090113113602 1
0.7%
20090527163611 1
0.7%
20090723193505 1
0.7%
20100622164413 1
0.7%
20100622164600 1
0.7%
20100622164727 1
0.7%
ValueCountFrequency (%)
20210224134458 1
0.7%
20210202172534 1
0.7%
20210121110450 1
0.7%
20210119160146 1
0.7%
20210119154824 1
0.7%
20210111123642 1
0.7%
20201230162327 1
0.7%
20201214153129 1
0.7%
20201214113333 1
0.7%
20201130130754 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
94 
U
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 94
66.7%
U 47
33.3%

Length

2024-04-18T10:47:13.771575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:13.875836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 94
66.7%
u 47
33.3%

데이터갱신일자
Categorical

Distinct37
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2019-03-23 02:20:03.0
88 
2019-04-07 02:40:00.0
9 
2020-09-30 02:40:00.0
 
4
2020-03-04 02:40:00.0
 
3
2020-07-30 02:40:00.0
 
3
Other values (32)
34 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique30 ?
Unique (%)21.3%

Sample

1st row2020-09-30 02:40:00.0
2nd row2020-09-30 02:40:00.0
3rd row2020-09-30 02:40:00.0
4th row2019-03-23 02:20:03.0
5th row2019-03-23 02:20:03.0

Common Values

ValueCountFrequency (%)
2019-03-23 02:20:03.0 88
62.4%
2019-04-07 02:40:00.0 9
 
6.4%
2020-09-30 02:40:00.0 4
 
2.8%
2020-03-04 02:40:00.0 3
 
2.1%
2020-07-30 02:40:00.0 3
 
2.1%
2020-09-17 02:40:00.0 2
 
1.4%
2021-01-21 02:40:00.0 2
 
1.4%
2020-08-29 02:40:00.0 1
 
0.7%
2020-03-14 02:40:00.0 1
 
0.7%
2020-12-02 02:40:00.0 1
 
0.7%
Other values (27) 27
 
19.1%

Length

2024-04-18T10:47:14.010890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-03-23 88
31.2%
02:20:03.0 88
31.2%
02:40:00.0 46
16.3%
2019-04-07 9
 
3.2%
2020-09-30 5
 
1.8%
2020-03-04 3
 
1.1%
2020-07-30 3
 
1.1%
00:23:11.0 2
 
0.7%
2020-12-16 2
 
0.7%
2021-01-21 2
 
0.7%
Other values (33) 34
 
12.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)84.2%
Missing8
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean384725.48
Minimum366706.34
Maximum405926.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:14.181917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366706.34
5-th percentile368714.17
Q1379676.74
median385468.44
Q3390936.55
95-th percentile399926.97
Maximum405926.8
Range39220.461
Interquartile range (IQR)11259.806

Descriptive statistics

Standard deviation9303.805
Coefficient of variation (CV)0.024182971
Kurtosis-0.46245358
Mean384725.48
Median Absolute Deviation (MAD)5658.536
Skewness-0.11721338
Sum51168488
Variance86560788
MonotonicityNot monotonic
2024-04-18T10:47:14.311074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389635.415888168 4
 
2.8%
399926.9669 3
 
2.1%
368714.166047268 2
 
1.4%
405397.470560958 2
 
1.4%
385338.0 2
 
1.4%
389563.586926279 2
 
1.4%
389072.954085227 2
 
1.4%
380879.017753643 2
 
1.4%
380672.60158062 2
 
1.4%
379809.907618382 2
 
1.4%
Other values (102) 110
78.0%
(Missing) 8
 
5.7%
ValueCountFrequency (%)
366706.343051375 1
0.7%
366797.989707445 1
0.7%
366815.590663201 1
0.7%
367857.458495184 1
0.7%
368042.296507967 1
0.7%
368121.178923836 1
0.7%
368714.166047268 2
1.4%
368962.956071328 2
1.4%
369354.0 1
0.7%
369966.069133219 1
0.7%
ValueCountFrequency (%)
405926.804044414 1
 
0.7%
405397.470560958 2
1.4%
403109.0 1
 
0.7%
401638.040844059 1
 
0.7%
401181.0 1
 
0.7%
399926.9669 3
2.1%
397216.86090988 1
 
0.7%
396962.538162221 1
 
0.7%
396180.621244719 1
 
0.7%
394209.294344881 1
 
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)84.2%
Missing8
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean188154.28
Minimum176901.71
Maximum206746.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:14.438848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176901.71
5-th percentile178469.67
Q1183709.67
median187002.87
Q3192166.38
95-th percentile202396.53
Maximum206746.79
Range29845.081
Interquartile range (IQR)8456.7118

Descriptive statistics

Standard deviation7044.6318
Coefficient of variation (CV)0.037440721
Kurtosis0.14992657
Mean188154.28
Median Absolute Deviation (MAD)4506.0197
Skewness0.65360199
Sum25024519
Variance49626838
MonotonicityNot monotonic
2024-04-18T10:47:15.366764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199385.436227116 4
 
2.8%
204533.317865 3
 
2.1%
178773.785944731 2
 
1.4%
206746.790462324 2
 
1.4%
185560.0 2
 
1.4%
191472.329138465 2
 
1.4%
192669.658512569 2
 
1.4%
185372.682348691 2
 
1.4%
186180.038153169 2
 
1.4%
182140.508159068 2
 
1.4%
Other values (102) 110
78.0%
(Missing) 8
 
5.7%
ValueCountFrequency (%)
176901.709838 2
1.4%
177979.117100246 1
0.7%
178077.830575787 1
0.7%
178216.262032315 1
0.7%
178278.912388691 1
0.7%
178463.569747862 1
0.7%
178473.733823448 1
0.7%
178672.818256947 1
0.7%
178683.0 1
0.7%
178773.785944731 2
1.4%
ValueCountFrequency (%)
206746.790462324 2
1.4%
206457.785803911 1
 
0.7%
205056.0 1
 
0.7%
204533.317865 3
2.1%
200972.0 1
 
0.7%
199385.436227116 4
2.8%
198877.710588158 1
 
0.7%
196968.59519108 1
 
0.7%
196664.288385536 1
 
0.7%
196369.526805207 1
 
0.7%

실험실면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
138 
0.0
 
2
93.48
 
1

Length

Max length5
Median length4
Mean length3.9929078
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
97.9%
0.0 2
 
1.4%
93.48 1
 
0.7%

Length

2024-04-18T10:47:15.491480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:15.587204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
97.9%
0.0 2
 
1.4%
93.48 1
 
0.7%

사업장구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
환경전문공사업
141 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경전문공사업 141
100.0%

Length

2024-04-18T10:47:15.677040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:15.759789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경전문공사업 141
100.0%

영업소면적
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)77.3%
Missing119
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean253.15136
Minimum33
Maximum1088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:15.854753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile33.825
Q167.205
median129.285
Q3399
95-th percentile572.536
Maximum1088
Range1055
Interquartile range (IQR)331.795

Descriptive statistics

Standard deviation260.86256
Coefficient of variation (CV)1.0304608
Kurtosis3.6848567
Mean253.15136
Median Absolute Deviation (MAD)79.785
Skewness1.7421678
Sum5569.33
Variance68049.277
MonotonicityNot monotonic
2024-04-18T10:47:15.958228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
33.0 2
 
1.4%
399.0 2
 
1.4%
49.5 2
 
1.4%
94.39 2
 
1.4%
205.0 2
 
1.4%
330.0 1
 
0.7%
77.5 1
 
0.7%
508.0 1
 
0.7%
63.94 1
 
0.7%
528.0 1
 
0.7%
Other values (7) 7
 
5.0%
(Missing) 119
84.4%
ValueCountFrequency (%)
33.0 2
1.4%
49.5 2
1.4%
56.5 1
0.7%
63.94 1
0.7%
77.0 1
0.7%
77.5 1
0.7%
94.39 2
1.4%
109.57 1
0.7%
149.0 1
0.7%
205.0 2
1.4%
ValueCountFrequency (%)
1088.0 1
0.7%
574.88 1
0.7%
528.0 1
0.7%
508.0 1
0.7%
445.16 1
0.7%
399.0 2
1.4%
330.0 1
0.7%
205.0 2
1.4%
149.0 1
0.7%
109.57 1
0.7%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

실험실지역코드
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing125
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean2.8714669 × 109
Minimum2.6260108 × 109
Maximum4.8250118 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:16.043485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6260108 × 109
5-th percentile2.6282609 × 109
Q12.6402604 × 109
median2.6440102 × 109
Q32.6530106 × 109
95-th percentile4.2942358 × 109
Maximum4.8250118 × 109
Range2.199001 × 109
Interquartile range (IQR)12750225

Descriptive statistics

Standard deviation6.3774381 × 108
Coefficient of variation (CV)0.22209687
Kurtosis6.5377791
Mean2.8714669 × 109
Median Absolute Deviation (MAD)9000400
Skewness2.7086328
Sum4.594347 × 1010
Variance4.0671717 × 1017
MonotonicityNot monotonic
2024-04-18T10:47:16.126726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2653010700 2
 
1.4%
2653010500 2
 
1.4%
2641010900 2
 
1.4%
2644010100 1
 
0.7%
4825011800 1
 
0.7%
2629010900 1
 
0.7%
2641010300 1
 
0.7%
2632010500 1
 
0.7%
2638010700 1
 
0.7%
2626010800 1
 
0.7%
Other values (3) 3
 
2.1%
(Missing) 125
88.7%
ValueCountFrequency (%)
2626010800 1
0.7%
2629010900 1
0.7%
2632010500 1
0.7%
2638010700 1
0.7%
2641010300 1
0.7%
2641010900 2
1.4%
2644010100 1
0.7%
2644010200 1
0.7%
2653010500 2
1.4%
2653010600 1
0.7%
ValueCountFrequency (%)
4825011800 1
0.7%
4117310400 1
0.7%
2653010700 2
1.4%
2653010600 1
0.7%
2653010500 2
1.4%
2644010200 1
0.7%
2644010100 1
0.7%
2641010900 2
1.4%
2641010300 1
0.7%
2638010700 1
0.7%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing125
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean567167.44
Minimum46702
Maximum621917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:16.212912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46702
5-th percentile335561.5
Q1607992.75
median612966.5
Q3617838
95-th percentile619588.25
Maximum621917
Range575215
Interquartile range (IQR)9845.25

Descriptive statistics

Standard deviation146124.83
Coefficient of variation (CV)0.25763967
Kurtosis12.41559
Mean567167.44
Median Absolute Deviation (MAD)4874.5
Skewness-3.4668443
Sum9074679
Variance2.1352467 × 1010
MonotonicityNot monotonic
2024-04-18T10:47:16.303159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
617841 2
 
1.4%
617801 2
 
1.4%
609822 2
 
1.4%
46702 1
 
0.7%
621917 1
 
0.7%
608043 1
 
0.7%
609843 1
 
0.7%
616090 1
 
0.7%
604817 1
 
0.7%
607842 1
 
0.7%
Other values (3) 3
 
2.1%
(Missing) 125
88.7%
ValueCountFrequency (%)
46702 1
0.7%
431848 1
0.7%
604817 1
0.7%
607842 1
0.7%
608043 1
0.7%
609822 2
1.4%
609843 1
0.7%
616090 1
0.7%
617801 2
1.4%
617837 1
0.7%
ValueCountFrequency (%)
621917 1
0.7%
618812 1
0.7%
617841 2
1.4%
617837 1
0.7%
617801 2
1.4%
616090 1
0.7%
609843 1
0.7%
609822 2
1.4%
608043 1
0.7%
607842 1
0.7%

실험실산
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
125 
1
15 
0
 
1

Length

Max length4
Median length4
Mean length3.6595745
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 125
88.7%
1 15
 
10.6%
0 1
 
0.7%

Length

2024-04-18T10:47:16.413402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:16.498747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
88.7%
1 15
 
10.6%
0 1
 
0.7%

실험실번지
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing127
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean963.07143
Minimum116
Maximum6183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:16.575882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum116
5-th percentile123.15
Q1164
median538
Q31004
95-th percentile3060.4
Maximum6183
Range6067
Interquartile range (IQR)840

Descriptive statistics

Standard deviation1563.1435
Coefficient of variation (CV)1.6230816
Kurtosis11.433204
Mean963.07143
Median Absolute Deviation (MAD)392.5
Skewness3.2640872
Sum13483
Variance2443417.6
MonotonicityNot monotonic
2024-04-18T10:47:16.661661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
173 2
 
1.4%
161 2
 
1.4%
444 1
 
0.7%
1046 1
 
0.7%
127 1
 
0.7%
632 1
 
0.7%
926 1
 
0.7%
116 1
 
0.7%
1379 1
 
0.7%
1027 1
 
0.7%
Other values (2) 2
 
1.4%
(Missing) 127
90.1%
ValueCountFrequency (%)
116 1
0.7%
127 1
0.7%
161 2
1.4%
173 2
1.4%
444 1
0.7%
632 1
0.7%
926 1
0.7%
935 1
0.7%
1027 1
0.7%
1046 1
0.7%
ValueCountFrequency (%)
6183 1
0.7%
1379 1
0.7%
1046 1
0.7%
1027 1
0.7%
935 1
0.7%
926 1
0.7%
632 1
0.7%
444 1
0.7%
173 2
1.4%
161 2
1.4%

실험실호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)66.7%
Missing129
Missing (%)91.5%
Infinite0
Infinite (%)0.0%
Mean10
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:16.753319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4.5
Q314.25
95-th percentile31.2
Maximum51
Range50
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation13.960985
Coefficient of variation (CV)1.3960985
Kurtosis7.7911179
Mean10
Median Absolute Deviation (MAD)3
Skewness2.6555883
Sum120
Variance194.90909
MonotonicityNot monotonic
2024-04-18T10:47:16.849763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 2
 
1.4%
15 2
 
1.4%
4 2
 
1.4%
1 2
 
1.4%
2 1
 
0.7%
51 1
 
0.7%
3 1
 
0.7%
14 1
 
0.7%
(Missing) 129
91.5%
ValueCountFrequency (%)
1 2
1.4%
2 1
0.7%
3 1
0.7%
4 2
1.4%
5 2
1.4%
14 1
0.7%
15 2
1.4%
51 1
0.7%
ValueCountFrequency (%)
51 1
0.7%
15 2
1.4%
14 1
0.7%
5 2
1.4%
4 2
1.4%
3 1
0.7%
2 1
0.7%
1 2
1.4%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

실험실특수주소
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing137
Missing (%)97.2%
Memory size1.2 KiB
2024-04-18T10:47:16.980520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10
Min length7

Characters and Unicode

Total characters40
Distinct characters20
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

Unique2 ?
Unique (%)50.0%

Sample

1st row동양빌딩 7층
2nd row280-2 (주)한신환경
3rd row280-2 (주)한신환경
4th row대양빌딩 4층
ValueCountFrequency (%)
280-2 2
25.0%
주)한신환경 2
25.0%
동양빌딩 1
12.5%
7층 1
12.5%
대양빌딩 1
12.5%
4층 1
12.5%
2024-04-18T10:47:17.224302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
 
10.0%
4
 
10.0%
신 2
 
5.0%
층 2
 
5.0%
딩 2
 
5.0%
빌 2
 
5.0%
양 2
 
5.0%
경 2
 
5.0%
8 2
 
5.0%
환 2
 
5.0%
Other values (10) 16
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
50.0%
Decimal Number 10
25.0%
Space Separator 4
 
10.0%
Close Punctuation 2
 
5.0%
Open Punctuation 2
 
5.0%
Dash Punctuation 2
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 2
10.0%
층 2
10.0%
딩 2
10.0%
빌 2
10.0%
양 2
10.0%
경 2
10.0%
환 2
10.0%
한 2
10.0%
주 2
10.0%
동 1
5.0%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
8 2
20.0%
0 2
20.0%
7 1
 
10.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20
50.0%
Hangul 20
50.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 2
10.0%
층 2
10.0%
딩 2
10.0%
빌 2
10.0%
양 2
10.0%
경 2
10.0%
환 2
10.0%
한 2
10.0%
주 2
10.0%
동 1
5.0%
Common
ValueCountFrequency (%)
2 4
20.0%
4
20.0%
8 2
10.0%
) 2
10.0%
( 2
10.0%
- 2
10.0%
0 2
10.0%
7 1
 
5.0%
4 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20
50.0%
Hangul 20
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
20.0%
4
20.0%
8 2
10.0%
) 2
10.0%
( 2
10.0%
- 2
10.0%
0 2
10.0%
7 1
 
5.0%
4 1
 
5.0%
Hangul
ValueCountFrequency (%)
신 2
10.0%
층 2
10.0%
딩 2
10.0%
빌 2
10.0%
양 2
10.0%
경 2
10.0%
환 2
10.0%
한 2
10.0%
주 2
10.0%
동 1
5.0%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

실험실도로명주소시군구코드
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)70.0%
Missing131
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean30153.3
Minimum26260
Maximum48330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:17.318313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26260
5-th percentile26327.5
Q126440
median26530
Q326710
95-th percentile45109.35
Maximum48330
Range22070
Interquartile range (IQR)270

Descriptive statistics

Standard deviation7877.8361
Coefficient of variation (CV)0.2612595
Kurtosis2.7632835
Mean30153.3
Median Absolute Deviation (MAD)150
Skewness1.9752226
Sum301533
Variance62060302
MonotonicityNot monotonic
2024-04-18T10:47:17.396057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
26440 2
 
1.4%
26710 2
 
1.4%
26530 2
 
1.4%
26410 1
 
0.7%
26260 1
 
0.7%
48330 1
 
0.7%
41173 1
 
0.7%
(Missing) 131
92.9%
ValueCountFrequency (%)
26260 1
0.7%
26410 1
0.7%
26440 2
1.4%
26530 2
1.4%
26710 2
1.4%
41173 1
0.7%
48330 1
0.7%
ValueCountFrequency (%)
48330 1
0.7%
41173 1
0.7%
26710 2
1.4%
26530 2
1.4%
26440 2
1.4%
26410 1
0.7%
26260 1
0.7%

실험실도로명주소읍면동코드
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)70.0%
Missing131
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean3.0153455 × 109
Minimum2.6260108 × 109
Maximum4.833031 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:17.473717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6260108 × 109
5-th percentile2.6327608 × 109
Q12.6440101 × 109
median2.6530107 × 109
Q32.6710253 × 109
95-th percentile4.5109567 × 109
Maximum4.833031 × 109
Range2.2070202 × 109
Interquartile range (IQR)27015200

Descriptive statistics

Standard deviation7.877874 × 108
Coefficient of variation (CV)0.26125941
Kurtosis2.7633437
Mean3.0153455 × 109
Median Absolute Deviation (MAD)15007200
Skewness1.9752308
Sum3.0153455 × 1010
Variance6.2060899 × 1017
MonotonicityNot monotonic
2024-04-18T10:47:17.548797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2644010100 2
 
1.4%
2671025300 2
 
1.4%
2653010700 2
 
1.4%
2641010900 1
 
0.7%
2626010800 1
 
0.7%
4833031000 1
 
0.7%
4117310400 1
 
0.7%
(Missing) 131
92.9%
ValueCountFrequency (%)
2626010800 1
0.7%
2641010900 1
0.7%
2644010100 2
1.4%
2653010700 2
1.4%
2671025300 2
1.4%
4117310400 1
0.7%
4833031000 1
0.7%
ValueCountFrequency (%)
4833031000 1
0.7%
4117310400 1
0.7%
2671025300 2
1.4%
2653010700 2
1.4%
2644010100 2
1.4%
2641010900 1
0.7%
2626010800 1
0.7%

실험실도로명주소읍면동구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
1
 
7
0
 
3

Length

Max length4
Median length4
Mean length3.787234
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
92.9%
1 7
 
5.0%
0 3
 
2.1%

Length

2024-04-18T10:47:17.642241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:17.730104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
92.9%
1 7
 
5.0%
0 3
 
2.1%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing131
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean3626744.9
Minimum2006017
Maximum4814080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:17.799311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006017
5-th percentile2006017
Q13140067
median4197760
Q34208260.5
95-th percentile4604867.3
Maximum4814080
Range2808063
Interquartile range (IQR)1068193.5

Descriptive statistics

Standard deviation999301.08
Coefficient of variation (CV)0.27553663
Kurtosis-0.7032184
Mean3626744.9
Median Absolute Deviation (MAD)383861.5
Skewness-0.82510942
Sum36267449
Variance9.9860265 × 1011
MonotonicityNot monotonic
2024-04-18T10:47:17.881510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3140067 2
 
1.4%
2006017 2
 
1.4%
4208256 1
 
0.7%
4205140 1
 
0.7%
4190380 1
 
0.7%
4814080 1
 
0.7%
4349163 1
 
0.7%
4208262 1
 
0.7%
(Missing) 131
92.9%
ValueCountFrequency (%)
2006017 2
1.4%
3140067 2
1.4%
4190380 1
0.7%
4205140 1
0.7%
4208256 1
0.7%
4208262 1
0.7%
4349163 1
0.7%
4814080 1
0.7%
ValueCountFrequency (%)
4814080 1
0.7%
4349163 1
0.7%
4208262 1
0.7%
4208256 1
0.7%
4205140 1
0.7%
4190380 1
0.7%
3140067 2
1.4%
2006017 2
1.4%

실험실도로명특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

실험실도로명주소건물층구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
0
 
10

Length

Max length4
Median length4
Mean length3.787234
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
92.9%
0 10
 
7.1%

Length

2024-04-18T10:47:17.980965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:18.065838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
92.9%
0 10
 
7.1%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing131
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean41
Minimum11
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:18.130830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q119.5
median45.5
Q358.75
95-th percentile68
Maximum68
Range57
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation22.96374
Coefficient of variation (CV)0.56009121
Kurtosis-1.7604726
Mean41
Median Absolute Deviation (MAD)19
Skewness-0.22771293
Sum410
Variance527.33333
MonotonicityNot monotonic
2024-04-18T10:47:18.214418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
11 2
 
1.4%
68 2
 
1.4%
55 1
 
0.7%
30 1
 
0.7%
37 1
 
0.7%
60 1
 
0.7%
16 1
 
0.7%
54 1
 
0.7%
(Missing) 131
92.9%
ValueCountFrequency (%)
11 2
1.4%
16 1
0.7%
30 1
0.7%
37 1
0.7%
54 1
0.7%
55 1
0.7%
60 1
0.7%
68 2
1.4%
ValueCountFrequency (%)
68 2
1.4%
60 1
0.7%
55 1
0.7%
54 1
0.7%
37 1
0.7%
30 1
0.7%
16 1
0.7%
11 2
1.4%

실험실도로명주소건물부번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
136 
5
 
2
0
 
1
9
 
1
39
 
1

Length

Max length4
Median length4
Mean length3.9007092
Min length1

Unique

Unique3 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 136
96.5%
5 2
 
1.4%
0 1
 
0.7%
9 1
 
0.7%
39 1
 
0.7%

Length

2024-04-18T10:47:18.322428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:47:18.411227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
96.5%
5 2
 
1.4%
0 1
 
0.7%
9 1
 
0.7%
39 1
 
0.7%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing131
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean484531.6
Minimum46700
Maximum626821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-18T10:47:18.485332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46700
5-th percentile46700.9
Q1475845.25
median613831.5
Q3619424.25
95-th percentile623729.95
Maximum626821
Range580121
Interquartile range (IQR)143579

Descriptive statistics

Standard deviation237939.11
Coefficient of variation (CV)0.49107036
Kurtosis0.81489541
Mean484531.6
Median Absolute Deviation (MAD)6120.5
Skewness-1.5628228
Sum4845316
Variance5.6615019 × 1010
MonotonicityNot monotonic
2024-04-18T10:47:18.561068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
619952 2
 
1.4%
617841 2
 
1.4%
46702 1
 
0.7%
609822 1
 
0.7%
607837 1
 
0.7%
626821 1
 
0.7%
431848 1
 
0.7%
46700 1
 
0.7%
(Missing) 131
92.9%
ValueCountFrequency (%)
46700 1
0.7%
46702 1
0.7%
431848 1
0.7%
607837 1
0.7%
609822 1
0.7%
617841 2
1.4%
619952 2
1.4%
626821 1
0.7%
ValueCountFrequency (%)
626821 1
0.7%
619952 2
1.4%
617841 2
1.4%
609822 1
0.7%
607837 1
0.7%
431848 1
0.7%
46702 1
0.7%
46700 1
0.7%

Unnamed: 51
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호Unnamed: 51
01환경전문공사업09_30_16_P626000062600000920170000720190703<NA>3폐업Q폐업20191030<NA><NA><NA><NA><NA>46201부산광역시 금정구 청룡동 632-3부산광역시 금정구 범어사로 423 (청룡동)46201주식회사 한국종합플랜트20200928095258U2020-09-30 02:40:00.0<NA>389635.415888199385.436227<NA>환경전문공사업94.39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12환경전문공사업09_30_16_P626000062600000920190000220190513<NA>3폐업Q폐업20200429<NA><NA><NA><NA><NA>46702부산광역시 강서구 대저1동 444-5부산광역시 강서구 대저로235번길 55 (대저1동)46702신라환경컨설팅(주)20200928095003U2020-09-30 02:40:00.0<NA>380152.054615192635.777699<NA>환경전문공사업<NA><NA>26440101004670204445<NA><NA><NA><NA><NA>26440264401010014208256<NA>055046702<NA>
23환경전문공사업09_30_16_P626000062600000920170000220190703<NA>3폐업Q폐업20191030<NA><NA><NA><NA><NA>46201부산광역시 금정구 청룡동 632-3부산광역시 금정구 범어사로 423 (청룡동)46201주식회사 한국종합플랜트20200928095224U2020-09-30 02:40:00.0<NA>389635.415888199385.436227<NA>환경전문공사업94.39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34환경전문공사업09_30_16_P626000062600000920130000320140723<NA>3폐업Q폐업20150601<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 중앙대로1793번길 54 (부곡동)609817(주)삼호이엔지20151202163905I2019-03-23 02:20:03.0<NA>390312.615678195696.072171<NA>환경전문공사업<NA><NA>4825011800621917110462<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45환경전문공사업09_30_16_P626000062600000920140000320140731<NA>3폐업Q폐업20151202<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 종합운동장로 36, 4층 (거제동,정은빌딩)611807(주)우람20151202163207I2019-03-23 02:20:03.0<NA>387971.071068190223.740241<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56환경전문공사업09_30_16_P626000062600000920140000120140221<NA>3폐업Q폐업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 다산로176번길 58 (장림동)604842(주)국제기산20150302103802I2019-03-23 02:20:03.0<NA>378526.329288176901.7098380.0환경전문공사업399.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67환경전문공사업09_30_16_P626000062600000920090000720100224<NA>3폐업Q폐업20100903<NA><NA><NA><NA><NA>617801부산광역시 사상구 감전동 157-3번지부산광역시 사상구 학감대로222번길 33 (감전동)617801(주)신화E앤P20100903170055I2019-03-23 02:20:03.0<NA>381418.114465185373.6347<NA>환경전문공사업63.94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78환경전문공사업09_30_16_P626000062600000920090000620090910<NA>3폐업Q폐업20100216<NA><NA><NA><NA><NA>618230부산광역시 강서구 지사동 1198번지 12호 이레트윈빌딩 601호부산광역시 강서구 과학산단2로10번길 6, 601호 (지사동,이레트윈빌딩)618230이레씨앤디(주)20100622164727I2019-03-23 02:20:03.0<NA>366797.989707184907.672328<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89환경전문공사업09_30_16_P626000062600000920090000520121031<NA>3폐업Q폐업20141103<NA><NA><NA><NA><NA>613010부산광역시 수영구 남천동 7번지 4호부산광역시 수영구 광남로 42 (남천동)613813(주)금양엔지니어링20141105134126I2019-03-23 02:20:03.0<NA>392381.167898185058.798043<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910환경전문공사업09_30_16_P626000062600000920130000220130423<NA>3폐업Q폐업20170329<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 범어사로 423 (청룡동)609844(주)우일환경테크닉스20170329160023I2019-03-23 02:20:03.0<NA>389635.415888199385.436227<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호Unnamed: 51
131132환경전문공사업09_30_16_P626000062600000920060002220171113<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 북구 효열로 73, 4층 (금곡동)46508(주)은하환경기술20200728141347U2020-07-30 02:40:00.0<NA>383208.667611196664.288386<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
132133환경전문공사업09_30_16_P626000062600000920060001820200422<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 대저로29번길 54 (대저1동)46700천호환경(주)20200422113254U2020-04-24 02:40:00.0<NA>378026.0192626.093.48환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26440264401010014208262<NA>054<NA>46700<NA>
133134환경전문공사업09_30_16_P626000062600000920060001220210224<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>617819부산광역시 사상구 모라1동 282번지 6호부산광역시 사상구 사상로539번길 35 (모라동)617819금호환경(주)20210224134458U2021-02-26 02:40:00.0<NA>380903.012198190017.436488<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
134135환경전문공사업09_30_16_P626000062600000920060000320180109<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>46918부산광역시 사상구 모라동 1375번지부산광역시 사상구 모라로 22, 부산벤처타워 1212호 (모라동)46918고성환경산업(주)20190405150959U2019-04-07 02:40:00.0<NA>380793.797121190134.207438<NA>환경전문공사업<NA><NA>2644010200618812161831<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
135136환경전문공사업09_30_16_P626000062600000920180000220191028<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>48434부산광역시 남구 대연동 406-1부산광역시 남구 수영로 295, 세웅빌딩 401호 (대연동)48434극동건설(주)20200728142826U2020-07-30 02:40:00.0<NA>389310.971099188909.929533<NA>환경전문공사업109.57<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
136137환경전문공사업09_30_16_P626000062600000920170000420201118<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 새벽로 183, 3층 (감전동)46980초석환경기술단20201118085255U2020-11-20 02:40:00.0<NA>380645.672313186073.362666<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
137138환경전문공사업09_30_16_P626000062600000920170000320170819<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA><NA><NA>부산시 사하구 다산로 176번길 58<NA>(주)국제기산20170819105531I2019-03-23 02:20:03.0<NA><NA><NA><NA>환경전문공사업445.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
138139환경전문공사업09_30_16_P626000062600000920130000120201214<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>47330부산광역시 부산진구 가야동 330-4부산광역시 부산진구 대학로44번길 13-5 (가야동)47330(주)한일환경플랜트20201214153129U2020-12-16 02:40:00.0<NA>385338.0185560.0<NA>환경전문공사업77.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
139140환경전문공사업09_30_16_P626000062600000920120000320210202<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>46228부산광역시 금정구 구서동 1009-4부산광역시 금정구 두실로 37 (구서동)46228주식회사 이피엘20210202172534U2021-02-04 02:40:00.0<NA>393605.930359188324.973749<NA>환경전문공사업574.88<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
140141환경전문공사업09_30_16_P626000062600000920060003420200915<NA>1영업/정상N신규<NA><NA><NA><NA><NA><NA>617837부산광역시 사상구 주례1동 935번지 대양빌딩 4층부산광역시 사상구 백양대로 483, 4층 (주례동,대양빌딩)617837(주)영동엔지니어링20200915132040U2020-09-17 02:40:00.0<NA>382070.62048185570.898131<NA>환경전문공사업<NA><NA>26530106006178371935<NA><NA><NA>대양빌딩 4층<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>