Overview

Dataset statistics

Number of variables36
Number of observations38
Missing cells428
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory314.5 B

Variable types

Numeric10
Categorical13
Unsupported10
Text3

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123190

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
채무지급보증 is highly imbalanced (82.4%)Imbalance
인허가취소일자 has 38 (100.0%) missing valuesMissing
폐업일자 has 32 (84.2%) missing valuesMissing
휴업시작일자 has 38 (100.0%) missing valuesMissing
휴업종료일자 has 38 (100.0%) missing valuesMissing
재개업일자 has 38 (100.0%) missing valuesMissing
소재지전화 has 3 (7.9%) missing valuesMissing
소재지면적 has 38 (100.0%) missing valuesMissing
소재지우편번호 has 6 (15.8%) missing valuesMissing
소재지전체주소 has 4 (10.5%) missing valuesMissing
도로명전체주소 has 3 (7.9%) missing valuesMissing
도로명우편번호 has 38 (100.0%) missing valuesMissing
업태구분명 has 38 (100.0%) missing valuesMissing
민원종류명 has 38 (100.0%) missing valuesMissing
보험 has 38 (100.0%) missing valuesMissing
Unnamed: 35 has 38 (100.0%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 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
민원종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 20:04:46.662177
Analysis finished2024-04-16 20:04:46.973173
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:47.022058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2024-04-17T05:04:47.136617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
상조업
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상조업 38
100.0%

Length

2024-04-17T05:04:47.239651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:47.313982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상조업 38
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
11_47_01_P
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_47_01_P
2nd row11_47_01_P
3rd row11_47_01_P
4th row11_47_01_P
5th row11_47_01_P

Common Values

ValueCountFrequency (%)
11_47_01_P 38
100.0%

Length

2024-04-17T05:04:47.393535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:47.486147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_47_01_p 38
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
6260000
38 

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 38
100.0%

Length

2024-04-17T05:04:47.564010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:47.641991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 38
100.0%

관리번호
Real number (ℝ)

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0117313 × 1019
Minimum2.010626 × 1019
Maximum2.016626 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:47.708644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.010626 × 1019
5-th percentile2.010626 × 1019
Q12.010626 × 1019
median2.011626 × 1019
Q32.011626 × 1019
95-th percentile2.015626 × 1019
Maximum2.016626 × 1019
Range6 × 1016
Interquartile range (IQR)1 × 1016

Descriptive statistics

Standard deviation1.4665546 × 1016
Coefficient of variation (CV)0.00072900124
Kurtosis4.1726453
Mean2.0117313 × 1019
Median Absolute Deviation (MAD)1 × 1016
Skewness2.0877016
Sum7.6445788 × 1020
Variance2.1507824 × 1032
MonotonicityNot monotonic
2024-04-17T05:04:47.789781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2.0116260000051e+19 18
47.4%
2.0106260000051e+19 14
36.8%
2.0136260000051e+19 2
 
5.3%
2.0156260000051e+19 2
 
5.3%
2.0166260000051e+19 1
 
2.6%
2.0126260000051e+19 1
 
2.6%
ValueCountFrequency (%)
2.0106260000051e+19 14
36.8%
2.0116260000051e+19 18
47.4%
2.0126260000051e+19 1
 
2.6%
2.0136260000051e+19 2
 
5.3%
2.0156260000051e+19 2
 
5.3%
2.0166260000051e+19 1
 
2.6%
ValueCountFrequency (%)
2.0166260000051e+19 1
 
2.6%
2.0156260000051e+19 2
 
5.3%
2.0136260000051e+19 2
 
5.3%
2.0126260000051e+19 1
 
2.6%
2.0116260000051e+19 18
47.4%
2.0106260000051e+19 14
36.8%

인허가일자
Real number (ℝ)

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111669
Minimum20101005
Maximum20160112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:47.881631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101005
5-th percentile20101014
Q120101140
median20110303
Q320110318
95-th percentile20150204
Maximum20160112
Range59107
Interquartile range (IQR)9178.5

Descriptive statistics

Standard deviation14461.706
Coefficient of variation (CV)0.00071907038
Kurtosis4.3342299
Mean20111669
Median Absolute Deviation (MAD)9074
Skewness2.1455421
Sum7.6424344 × 108
Variance2.0914094 × 108
MonotonicityNot monotonic
2024-04-17T05:04:47.980180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20110318 5
 
13.2%
20110310 3
 
7.9%
20101027 2
 
5.3%
20110303 2
 
5.3%
20101005 2
 
5.3%
20101026 2
 
5.3%
20110322 2
 
5.3%
20101015 2
 
5.3%
20101227 2
 
5.3%
20110131 2
 
5.3%
Other values (14) 14
36.8%
ValueCountFrequency (%)
20101005 2
5.3%
20101015 2
5.3%
20101026 2
5.3%
20101027 2
5.3%
20101103 1
2.6%
20101115 1
2.6%
20101213 1
2.6%
20101227 2
5.3%
20101231 1
2.6%
20110120 1
2.6%
ValueCountFrequency (%)
20160112 1
 
2.6%
20150708 1
 
2.6%
20150115 1
 
2.6%
20130816 1
 
2.6%
20130219 1
 
2.6%
20120513 1
 
2.6%
20111013 1
 
2.6%
20110322 2
 
5.3%
20110318 5
13.2%
20110310 3
7.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
3
20 
1
10 
4
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 20
52.6%
1 10
26.3%
4 8
 
21.1%

Length

2024-04-17T05:04:48.082927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:48.165063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
52.6%
1 10
26.3%
4 8
 
21.1%

영업상태명
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
폐업
20 
영업/정상
10 
취소/말소/만료/정지/중지
8 

Length

Max length14
Median length2
Mean length5.3157895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 20
52.6%
영업/정상 10
26.3%
취소/말소/만료/정지/중지 8
 
21.1%

Length

2024-04-17T05:04:48.270200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:48.371193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
52.6%
영업/정상 10
26.3%
취소/말소/만료/정지/중지 8
 
21.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
3
20 
1
10 
7
4 
8
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row8

Common Values

ValueCountFrequency (%)
3 20
52.6%
1 10
26.3%
7 4
 
10.5%
8 4
 
10.5%

Length

2024-04-17T05:04:48.463659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:48.549001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
52.6%
1 10
26.3%
7 4
 
10.5%
8 4
 
10.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
폐업
20 
영업중
10 
등록취소
4 
직권말소
4 

Length

Max length4
Median length2
Mean length2.6842105
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록취소
2nd row등록취소
3rd row등록취소
4th row등록취소
5th row직권말소

Common Values

ValueCountFrequency (%)
폐업 20
52.6%
영업중 10
26.3%
등록취소 4
 
10.5%
직권말소 4
 
10.5%

Length

2024-04-17T05:04:48.657633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:48.750883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
52.6%
영업중 10
26.3%
등록취소 4
 
10.5%
직권말소 4
 
10.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing32
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean20172038
Minimum20110323
Maximum20201006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:48.832064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110323
5-th percentile20125322
Q120172797
median20180227
Q320187648
95-th percentile20198285
Maximum20201006
Range90683
Interquartile range (IQR)14850.5

Descriptive statistics

Standard deviation31974.83
Coefficient of variation (CV)0.0015851066
Kurtosis4.0135931
Mean20172038
Median Absolute Deviation (MAD)9900
Skewness-1.8696503
Sum1.2103222 × 108
Variance1.0223897 × 109
MonotonicityNot monotonic
2024-04-17T05:04:48.915543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20180228 1
 
2.6%
20201006 1
 
2.6%
20170321 1
 
2.6%
20110323 1
 
2.6%
20180226 1
 
2.6%
20190121 1
 
2.6%
(Missing) 32
84.2%
ValueCountFrequency (%)
20110323 1
2.6%
20170321 1
2.6%
20180226 1
2.6%
20180228 1
2.6%
20190121 1
2.6%
20201006 1
2.6%
ValueCountFrequency (%)
20201006 1
2.6%
20190121 1
2.6%
20180228 1
2.6%
20180226 1
2.6%
20170321 1
2.6%
20110323 1
2.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)100.0%
Missing3
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.9337469 × 109
Minimum15883661
Maximum5.1164437 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:49.013956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15883661
5-th percentile3.635483 × 108
Q15.1635229 × 108
median5.1861147 × 108
Q35.1156125 × 109
95-th percentile5.1161293 × 109
Maximum5.1164437 × 109
Range5.10056 × 109
Interquartile range (IQR)4.5992602 × 109

Descriptive statistics

Standard deviation2.1888805 × 109
Coefficient of variation (CV)1.1319374
Kurtosis-1.382903
Mean1.9337469 × 109
Median Absolute Deviation (MAD)3430172
Skewness0.82626551
Sum6.7681142 × 1010
Variance4.7911977 × 1018
MonotonicityNot monotonic
2024-04-17T05:04:49.124887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5115885752 1
 
2.6%
5115775787 1
 
2.6%
515181300 1
 
2.6%
518168260 1
 
2.6%
515553327 1
 
2.6%
518653800 1
 
2.6%
514654771 1
 
2.6%
5116440866 1
 
2.6%
518660046 1
 
2.6%
5116443651 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 3
 
7.9%
ValueCountFrequency (%)
15883661 1
2.6%
15884108 1
2.6%
512547244 1
2.6%
513052580 1
2.6%
513162180 1
2.6%
514654771 1
2.6%
515181300 1
2.6%
515553327 1
2.6%
516343580 1
2.6%
516361004 1
2.6%
ValueCountFrequency (%)
5116443651 1
2.6%
5116440866 1
2.6%
5115995766 1
2.6%
5115994838 1
2.6%
5115886168 1
2.6%
5115885752 1
2.6%
5115883971 1
2.6%
5115776250 1
2.6%
5115775787 1
2.6%
5115449219 1
2.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)78.1%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean559472.12
Minimum47540
Maximum617050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:49.225106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47540
5-th percentile48866.7
Q1611070
median614020
Q3614255
95-th percentile615846.5
Maximum617050
Range569510
Interquartile range (IQR)3185

Descriptive statistics

Standard deviation167044.53
Coefficient of variation (CV)0.29857525
Kurtosis6.9887815
Mean559472.12
Median Absolute Deviation (MAD)2198
Skewness-2.9238388
Sum17903108
Variance2.7903875 × 1010
MonotonicityNot monotonic
2024-04-17T05:04:49.318093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
614020 3
 
7.9%
611080 3
 
7.9%
614050 2
 
5.3%
614040 2
 
5.3%
611070 2
 
5.3%
609320 1
 
2.6%
617040 1
 
2.6%
617050 1
 
2.6%
601060 1
 
2.6%
614720 1
 
2.6%
Other values (15) 15
39.5%
(Missing) 6
 
15.8%
ValueCountFrequency (%)
47540 1
 
2.6%
48738 1
 
2.6%
48972 1
 
2.6%
600074 1
 
2.6%
601060 1
 
2.6%
607100 1
 
2.6%
609320 1
 
2.6%
611070 2
5.3%
611080 3
7.9%
611812 1
 
2.6%
ValueCountFrequency (%)
617050 1
2.6%
617040 1
2.6%
614870 1
2.6%
614867 1
2.6%
614854 1
2.6%
614853 1
2.6%
614844 1
2.6%
614720 1
2.6%
614100 1
2.6%
614050 2
5.3%

소재지전체주소
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing4
Missing (%)10.5%
Memory size436.0 B
2024-04-17T05:04:49.535331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length27.882353
Min length22

Characters and Unicode

Total characters948
Distinct characters85
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 연제구 연산동 149번지 4호 동성빌딩
2nd row부산광역시 동구 초량동 1146번지 7호 해봉빌딩
3rd row부산광역시 연제구 연산동 1495번지 11호
4th row부산광역시 부산진구 양정동 94번지 11호
5th row부산광역시 부산진구 부전동 130번지 1호
ValueCountFrequency (%)
부산광역시 34
 
17.3%
부산진구 16
 
8.1%
연제구 9
 
4.6%
연산동 7
 
3.6%
범천동 5
 
2.5%
4호 4
 
2.0%
전포동 4
 
2.0%
양정동 4
 
2.0%
1호 3
 
1.5%
동구 3
 
1.5%
Other values (87) 108
54.8%
2024-04-17T05:04:49.866498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
20.8%
산 57
 
6.0%
부 54
 
5.7%
동 42
 
4.4%
1 39
 
4.1%
호 38
 
4.0%
광 34
 
3.6%
역 34
 
3.6%
시 34
 
3.6%
구 34
 
3.6%
Other values (75) 385
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 565
59.6%
Space Separator 197
 
20.8%
Decimal Number 183
 
19.3%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 57
 
10.1%
부 54
 
9.6%
동 42
 
7.4%
호 38
 
6.7%
광 34
 
6.0%
역 34
 
6.0%
시 34
 
6.0%
구 34
 
6.0%
지 33
 
5.8%
번 33
 
5.8%
Other values (62) 172
30.4%
Decimal Number
ValueCountFrequency (%)
1 39
21.3%
4 26
14.2%
2 20
10.9%
3 19
10.4%
0 17
9.3%
7 17
9.3%
8 15
 
8.2%
6 10
 
5.5%
5 10
 
5.5%
9 10
 
5.5%
Space Separator
ValueCountFrequency (%)
197
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 565
59.6%
Common 383
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 57
 
10.1%
부 54
 
9.6%
동 42
 
7.4%
호 38
 
6.7%
광 34
 
6.0%
역 34
 
6.0%
시 34
 
6.0%
구 34
 
6.0%
지 33
 
5.8%
번 33
 
5.8%
Other values (62) 172
30.4%
Common
ValueCountFrequency (%)
197
51.4%
1 39
 
10.2%
4 26
 
6.8%
2 20
 
5.2%
3 19
 
5.0%
0 17
 
4.4%
7 17
 
4.4%
8 15
 
3.9%
6 10
 
2.6%
5 10
 
2.6%
Other values (3) 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 565
59.6%
ASCII 383
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
51.4%
1 39
 
10.2%
4 26
 
6.8%
2 20
 
5.2%
3 19
 
5.0%
0 17
 
4.4%
7 17
 
4.4%
8 15
 
3.9%
6 10
 
2.6%
5 10
 
2.6%
Other values (3) 13
 
3.4%
Hangul
ValueCountFrequency (%)
산 57
 
10.1%
부 54
 
9.6%
동 42
 
7.4%
호 38
 
6.7%
광 34
 
6.0%
역 34
 
6.0%
시 34
 
6.0%
구 34
 
6.0%
지 33
 
5.8%
번 33
 
5.8%
Other values (62) 172
30.4%

도로명전체주소
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing3
Missing (%)7.9%
Memory size436.0 B
2024-04-17T05:04:50.090910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length29.914286
Min length23

Characters and Unicode

Total characters1047
Distinct characters119
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

Unique35 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 조방로49번길 29, 호림빌딩 603호 (범일동)
2nd row부산광역시 동구 중앙대로 289, 해봉빌딩 2층 (초량동)
3rd row부산광역시 연제구 신촌로 24, 1층 (연산동)
4th row부산광역시 중구 남포길 43 (남포동2가)
5th row부산광역시 부산진구 중앙대로 750, 3층 (부전동)
ValueCountFrequency (%)
부산광역시 35
 
17.2%
부산진구 14
 
6.9%
연제구 7
 
3.4%
2층 7
 
3.4%
중앙대로 7
 
3.4%
연산동 5
 
2.5%
동구 5
 
2.5%
범천동 4
 
2.0%
3층 3
 
1.5%
중구 3
 
1.5%
Other values (96) 114
55.9%
2024-04-17T05:04:50.417821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
16.1%
산 55
 
5.3%
부 53
 
5.1%
동 45
 
4.3%
시 36
 
3.4%
구 36
 
3.4%
역 35
 
3.3%
광 35
 
3.3%
( 35
 
3.3%
) 35
 
3.3%
Other values (109) 513
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 627
59.9%
Space Separator 169
 
16.1%
Decimal Number 148
 
14.1%
Open Punctuation 35
 
3.3%
Close Punctuation 35
 
3.3%
Other Punctuation 28
 
2.7%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 55
 
8.8%
부 53
 
8.5%
동 45
 
7.2%
시 36
 
5.7%
구 36
 
5.7%
역 35
 
5.6%
광 35
 
5.6%
로 34
 
5.4%
대 21
 
3.3%
층 20
 
3.2%
Other values (94) 257
41.0%
Decimal Number
ValueCountFrequency (%)
2 30
20.3%
1 29
19.6%
5 15
10.1%
3 13
8.8%
4 13
8.8%
9 12
 
8.1%
6 12
 
8.1%
0 9
 
6.1%
7 8
 
5.4%
8 7
 
4.7%
Space Separator
ValueCountFrequency (%)
169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 627
59.9%
Common 420
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 55
 
8.8%
부 53
 
8.5%
동 45
 
7.2%
시 36
 
5.7%
구 36
 
5.7%
역 35
 
5.6%
광 35
 
5.6%
로 34
 
5.4%
대 21
 
3.3%
층 20
 
3.2%
Other values (94) 257
41.0%
Common
ValueCountFrequency (%)
169
40.2%
( 35
 
8.3%
) 35
 
8.3%
2 30
 
7.1%
1 29
 
6.9%
, 28
 
6.7%
5 15
 
3.6%
3 13
 
3.1%
4 13
 
3.1%
9 12
 
2.9%
Other values (5) 41
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 627
59.9%
ASCII 420
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
40.2%
( 35
 
8.3%
) 35
 
8.3%
2 30
 
7.1%
1 29
 
6.9%
, 28
 
6.7%
5 15
 
3.6%
3 13
 
3.1%
4 13
 
3.1%
9 12
 
2.9%
Other values (5) 41
 
9.8%
Hangul
ValueCountFrequency (%)
산 55
 
8.8%
부 53
 
8.5%
동 45
 
7.2%
시 36
 
5.7%
구 36
 
5.7%
역 35
 
5.6%
광 35
 
5.6%
로 34
 
5.4%
대 21
 
3.3%
층 20
 
3.2%
Other values (94) 257
41.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

사업장명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-17T05:04:50.599632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length9.6842105
Min length5

Characters and Unicode

Total characters368
Distinct characters86
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row행복플러스주식회사
2nd row(주)보훈라이프
3rd row바이오힐링(주)
4th row예그린에스앤티(주)
5th row사임당 라이프(주)
ValueCountFrequency (%)
주식회사 12
 
22.6%
행복플러스주식회사 1
 
1.9%
주)보훈라이프 1
 
1.9%
두레상조 1
 
1.9%
에스에이치라이프(새한일상조주식회사 1
 
1.9%
신양상조 1
 
1.9%
삼성상조주식회사 1
 
1.9%
다원상조 1
 
1.9%
에이스 1
 
1.9%
부산의사상조 1
 
1.9%
Other values (32) 32
60.4%
2024-04-17T05:04:50.913293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
 
10.6%
사 22
 
6.0%
) 21
 
5.7%
( 21
 
5.7%
조 21
 
5.7%
상 21
 
5.7%
회 20
 
5.4%
이 20
 
5.4%
식 20
 
5.4%
15
 
4.1%
Other values (76) 148
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
84.2%
Close Punctuation 21
 
5.7%
Open Punctuation 21
 
5.7%
Space Separator 15
 
4.1%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
12.6%
사 22
 
7.1%
조 21
 
6.8%
상 21
 
6.8%
회 20
 
6.5%
이 20
 
6.5%
식 20
 
6.5%
프 13
 
4.2%
라 13
 
4.2%
에 8
 
2.6%
Other values (72) 113
36.5%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
84.2%
Common 58
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
12.6%
사 22
 
7.1%
조 21
 
6.8%
상 21
 
6.8%
회 20
 
6.5%
이 20
 
6.5%
식 20
 
6.5%
프 13
 
4.2%
라 13
 
4.2%
에 8
 
2.6%
Other values (72) 113
36.5%
Common
ValueCountFrequency (%)
) 21
36.2%
( 21
36.2%
15
25.9%
: 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
84.2%
ASCII 58
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
 
12.6%
사 22
 
7.1%
조 21
 
6.8%
상 21
 
6.8%
회 20
 
6.5%
이 20
 
6.5%
식 20
 
6.5%
프 13
 
4.2%
라 13
 
4.2%
에 8
 
2.6%
Other values (72) 113
36.5%
ASCII
ValueCountFrequency (%)
) 21
36.2%
( 21
36.2%
15
25.9%
: 1
 
1.7%

최종수정시점
Real number (ℝ)

Distinct26
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0168284 × 1013
Minimum2.0110329 × 1013
Maximum2.0201118 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:51.022660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110329 × 1013
5-th percentile2.0130326 × 1013
Q12.0140469 × 1013
median2.0181168 × 1013
Q32.0190904 × 1013
95-th percentile2.0200917 × 1013
Maximum2.0201118 × 1013
Range9.0789 × 1010
Interquartile range (IQR)5.043475 × 1010

Descriptive statistics

Standard deviation2.8391526 × 1010
Coefficient of variation (CV)0.0014077314
Kurtosis-1.4462081
Mean2.0168284 × 1013
Median Absolute Deviation (MAD)1.48975 × 1010
Skewness-0.4931845
Sum7.6639478 × 1014
Variance8.0607875 × 1020
MonotonicityNot monotonic
2024-04-17T05:04:51.141929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20190904000000 8
21.1%
20190401000000 3
 
7.9%
20130329000000 3
 
7.9%
20140424000000 2
 
5.3%
20110329000000 1
 
2.6%
20201118000000 1
 
2.6%
20190115000000 1
 
2.6%
20190715000000 1
 
2.6%
20200116000000 1
 
2.6%
20200901000000 1
 
2.6%
Other values (16) 16
42.1%
ValueCountFrequency (%)
20110329000000 1
 
2.6%
20130308000000 1
 
2.6%
20130329000000 3
7.9%
20130613000000 1
 
2.6%
20130724000000 1
 
2.6%
20131224000000 1
 
2.6%
20140424000000 2
5.3%
20140605000000 1
 
2.6%
20140616000000 1
 
2.6%
20140806000000 1
 
2.6%
ValueCountFrequency (%)
20201118000000 1
 
2.6%
20201006000000 1
 
2.6%
20200901000000 1
 
2.6%
20200116000000 1
 
2.6%
20190904000000 8
21.1%
20190715000000 1
 
2.6%
20190401000000 3
 
7.9%
20190115000000 1
 
2.6%
20190102000000 1
 
2.6%
20181221000000 1
 
2.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
U
20 
I
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 20
52.6%
I 18
47.4%

Length

2024-04-17T05:04:51.262547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:51.358246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 20
52.6%
i 18
47.4%

데이터갱신일자
Categorical

Distinct12
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2018-08-31 23:59:59.0
18 
2019-09-06 02:40:00.0
8 
2019-04-03 02:40:00.0
3 
2018-11-18 02:38:06.0
 
1
2019-01-04 02:40:00.0
 
1
Other values (7)
7 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)23.7%

Sample

1st row2019-09-06 02:40:00.0
2nd row2019-09-06 02:40:00.0
3rd row2018-11-18 02:38:06.0
4th row2019-09-06 02:40:00.0
5th row2019-04-03 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 18
47.4%
2019-09-06 02:40:00.0 8
21.1%
2019-04-03 02:40:00.0 3
 
7.9%
2018-11-18 02:38:06.0 1
 
2.6%
2019-01-04 02:40:00.0 1
 
2.6%
2020-10-08 02:40:00.0 1
 
2.6%
2018-12-23 02:40:00.0 1
 
2.6%
2020-09-03 02:40:00.0 1
 
2.6%
2020-01-18 02:40:00.0 1
 
2.6%
2019-07-17 02:40:00.0 1
 
2.6%
Other values (2) 2
 
5.3%

Length

2024-04-17T05:04:51.464007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 19
25.0%
2018-08-31 18
23.7%
23:59:59.0 18
23.7%
2019-09-06 8
10.5%
2019-04-03 3
 
3.9%
2018-11-18 1
 
1.3%
02:38:06.0 1
 
1.3%
2019-01-04 1
 
1.3%
2020-10-08 1
 
1.3%
2018-12-23 1
 
1.3%
Other values (5) 5
 
6.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

좌표정보(x)
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387621.42
Minimum380347.38
Maximum392033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:51.561108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380347.38
5-th percentile382776.32
Q1386676.29
median387952.55
Q3389191.81
95-th percentile391036.68
Maximum392033
Range11685.617
Interquartile range (IQR)2515.5175

Descriptive statistics

Standard deviation2536.8399
Coefficient of variation (CV)0.0065446329
Kurtosis1.7979982
Mean387621.42
Median Absolute Deviation (MAD)1347.3643
Skewness-1.1669959
Sum14729614
Variance6435556.6
MonotonicityNot monotonic
2024-04-17T05:04:51.680155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
388086.164188963 2
 
5.3%
387727.932157079 2
 
5.3%
392032.998622836 1
 
2.6%
388915.339971332 1
 
2.6%
390527.718344083 1
 
2.6%
387772.924812501 1
 
2.6%
387938.406326008 1
 
2.6%
389441.669294678 1
 
2.6%
385203.926916019 1
 
2.6%
384430.630690869 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
380347.381522031 1
2.6%
380701.811851581 1
2.6%
383142.40850891 1
2.6%
384389.415480923 1
2.6%
384430.630690869 1
2.6%
385203.926916019 1
2.6%
385349.511207644 1
2.6%
386177.958994368 1
2.6%
386198.912596505 1
2.6%
386392.142032013 1
2.6%
ValueCountFrequency (%)
392032.998622836 1
2.6%
391104.459901624 1
2.6%
391024.721499922 1
2.6%
390527.718344083 1
2.6%
389743.411317127 1
2.6%
389441.669294678 1
2.6%
389409.092773132 1
2.6%
389380.829120839 1
2.6%
389361.387493924 1
2.6%
389238.443389405 1
2.6%

좌표정보(y)
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186745.38
Minimum179566.52
Maximum195658.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:51.806156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179566.52
5-th percentile180486.7
Q1185221.78
median186394.87
Q3189128.67
95-th percentile190713.44
Maximum195658.45
Range16091.93
Interquartile range (IQR)3906.8869

Descriptive statistics

Standard deviation3268.8805
Coefficient of variation (CV)0.017504478
Kurtosis0.78953134
Mean186745.38
Median Absolute Deviation (MAD)2053.7162
Skewness-0.10261178
Sum7096324.4
Variance10685579
MonotonicityNot monotonic
2024-04-17T05:04:51.910553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
186174.26378032 2
 
5.3%
184254.180458819 2
 
5.3%
189646.629321318 1
 
2.6%
188361.612801752 1
 
2.6%
195658.450014576 1
 
2.6%
186000.085967988 1
 
2.6%
186768.185634003 1
 
2.6%
189418.44515731 1
 
2.6%
180571.713650198 1
 
2.6%
185721.876196787 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
179566.520286552 1
2.6%
180004.941132641 1
2.6%
180571.713650198 1
2.6%
182089.626704726 1
2.6%
182298.559966434 1
2.6%
184254.180458819 2
5.3%
184455.754008589 1
2.6%
184857.762359067 1
2.6%
185203.096952248 1
2.6%
185277.829219233 1
2.6%
ValueCountFrequency (%)
195658.450014576 1
2.6%
190808.457352473 1
2.6%
190696.675178817 1
2.6%
190036.414011911 1
2.6%
189714.551513798 1
2.6%
189646.629321318 1
2.6%
189617.587019737 1
2.6%
189484.208102327 1
2.6%
189418.44515731 1
2.6%
189143.057207862 1
2.6%

민원종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

자본금의 규모
Real number (ℝ)

Distinct8
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7187724 × 108
Minimum3 × 108
Maximum2 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-17T05:04:52.006358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 108
5-th percentile3 × 108
Q13 × 108
median3 × 108
Q31.5 × 109
95-th percentile1.546003 × 109
Maximum2 × 109
Range1.7 × 109
Interquartile range (IQR)1.2 × 109

Descriptive statistics

Standard deviation5.8968001 × 108
Coefficient of variation (CV)0.87766035
Kurtosis-0.77019296
Mean6.7187724 × 108
Median Absolute Deviation (MAD)0
Skewness1.0493111
Sum2.5531335 × 1010
Variance3.4772251 × 1017
MonotonicityNot monotonic
2024-04-17T05:04:52.098179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
300000000 26
68.4%
1500000000 6
 
15.8%
429650000 1
 
2.6%
1500475000 1
 
2.6%
2000000000 1
 
2.6%
1501180000 1
 
2.6%
1500030000 1
 
2.6%
1800000000 1
 
2.6%
ValueCountFrequency (%)
300000000 26
68.4%
429650000 1
 
2.6%
1500000000 6
 
15.8%
1500030000 1
 
2.6%
1500475000 1
 
2.6%
1501180000 1
 
2.6%
1800000000 1
 
2.6%
2000000000 1
 
2.6%
ValueCountFrequency (%)
2000000000 1
 
2.6%
1800000000 1
 
2.6%
1501180000 1
 
2.6%
1500475000 1
 
2.6%
1500030000 1
 
2.6%
1500000000 6
 
15.8%
429650000 1
 
2.6%
300000000 26
68.4%

예치기관명
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
16 
우리은행
10 
신한은행
9 
부산은행
2 
국민은행
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
42.1%
우리은행 10
26.3%
신한은행 9
23.7%
부산은행 2
 
5.3%
국민은행 1
 
2.6%

Length

2024-04-17T05:04:52.200877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:52.291880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
42.1%
우리은행 10
26.3%
신한은행 9
23.7%
부산은행 2
 
5.3%
국민은행 1
 
2.6%

공제계약명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
24 
기타
14 

Length

Max length4
Median length4
Mean length3.2631579
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
63.2%
기타 14
36.8%

Length

2024-04-17T05:04:52.401083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:52.515549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
63.2%
기타 14
36.8%

공제계약기타명
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
24 
한국상조공제조합
8 
상조보증공제조합
6 

Length

Max length8
Median length4
Mean length5.4736842
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
63.2%
한국상조공제조합 8
 
21.1%
상조보증공제조합 6
 
15.8%

Length

2024-04-17T05:04:52.617111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:52.714502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
63.2%
한국상조공제조합 8
 
21.1%
상조보증공제조합 6
 
15.8%

보험
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

채무지급보증
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-17T05:04:52.832682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:04:53.319808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

Unnamed: 35
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)민원종류명자본금의 규모예치기관명공제계약명공제계약기타명보험채무지급보증Unnamed: 35
01상조업11_47_01_P62600002010626000005100000820101027<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>517544441<NA>611812부산광역시 연제구 연산동 149번지 4호 동성빌딩부산광역시 동구 조방로49번길 29, 호림빌딩 603호 (범일동)<NA>행복플러스주식회사20190904000000U2019-09-06 02:40:00.0<NA>392032.998623189646.629321<NA>300000000<NA><NA><NA><NA><NA><NA>
12상조업11_47_01_P62600002010626000005100001220101227<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>5115885752<NA><NA>부산광역시 동구 초량동 1146번지 7호 해봉빌딩부산광역시 동구 중앙대로 289, 해봉빌딩 2층 (초량동)<NA>(주)보훈라이프20190904000000U2019-09-06 02:40:00.0<NA>386198.912597182298.559966<NA>1500000000<NA>기타한국상조공제조합<NA><NA><NA>
23상조업11_47_01_P62600002013626000005100000120130219<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>518530101<NA>611828부산광역시 연제구 연산동 1495번지 11호부산광역시 연제구 신촌로 24, 1층 (연산동)<NA>바이오힐링(주)20181116000000U2018-11-18 02:38:06.0<NA>389051.903738189085.495984<NA>300000000우리은행<NA><NA><NA><NA><NA>
34상조업11_47_01_P62600002011626000005100000620110303<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>15884108<NA>614050부산광역시 부산진구 양정동 94번지 11호<NA><NA>예그린에스앤티(주)20190904000000U2019-09-06 02:40:00.0<NA>388826.786367188006.381067<NA>300000000<NA>기타상조보증공제조합<NA><NA><NA>
45상조업11_47_01_P62600002015626000005100000320150115<NA>4취소/말소/만료/정지/중지8직권말소<NA><NA><NA><NA>5115994838<NA><NA><NA>부산광역시 중구 남포길 43 (남포동2가)<NA>사임당 라이프(주)20190401000000U2019-04-03 02:40:00.0<NA>385349.511208179566.520287<NA>300000000<NA><NA><NA><NA><NA><NA>
56상조업11_47_01_P62600002010626000005100000220101005<NA>4취소/말소/만료/정지/중지8직권말소<NA><NA><NA><NA>517143100<NA>614844부산광역시 부산진구 부전동 130번지 1호부산광역시 부산진구 중앙대로 750, 3층 (부전동)<NA>에플라이프 주식회사20190401000000U2019-04-03 02:40:00.0<NA>387691.842838186393.648273<NA>300000000신한은행<NA><NA><NA><NA><NA>
67상조업11_47_01_P62600002011626000005100002320111013<NA>4취소/말소/만료/정지/중지8직권말소<NA><NA><NA><NA><NA><NA>614050부산광역시 부산진구 양정동 370번지 4호 대원플러스빌 201호부산광역시 부산진구 동평로 416, 2층 (양정동)<NA>주식회사 해오름상조20190102000000U2019-01-04 02:40:00.0<NA>388519.853095187952.862136<NA>300000000신한은행<NA><NA><NA><NA><NA>
78상조업11_47_01_P62600002011626000005100001220110310<NA>4취소/말소/만료/정지/중지8직권말소<NA><NA><NA><NA>15883661<NA>48738부산광역시 동구 범일동 830번지 42호 썬오피스텔 1210호부산광역시 동구 조방로 39, 1210호 (범일동,선오피스텔)<NA>(주)씨에스라이프20190401000000U2019-04-03 02:40:00.0<NA>387727.932157184254.180459<NA>429650000<NA><NA><NA><NA><NA><NA>
89상조업11_47_01_P62600002011626000005100001720110318<NA>3폐업3폐업20180228<NA><NA><NA>512547244<NA>600074부산광역시 중구 부평동4가 14번지 1호부산광역시 중구 흑교로31번길 19-1, 2층 (부평동4가)<NA>부경상조(주)20180228000000I2018-08-31 23:59:59.0<NA>384389.415481180004.941133<NA>300000000우리은행<NA><NA><NA><NA><NA>
910상조업11_47_01_P62600002016626000005100000120160112<NA>3폐업3폐업20201006<NA><NA><NA>518631888<NA>47540부산광역시 연제구 연산동 1143번지 12호부산광역시 연제구 월드컵대로165번길 5, 3층 (연산동)<NA>이편한라이프(주)20201006000000U2020-10-08 02:40:00.0<NA>389238.443389189484.208102<NA>1500475000우리은행<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)민원종류명자본금의 규모예치기관명공제계약명공제계약기타명보험채무지급보증Unnamed: 35
2829상조업11_47_01_P62600002015626000005100000220150708<NA>1영업/정상1영업중<NA><NA><NA><NA>5116440866<NA><NA><NA>부산광역시 부산진구 개금온정로 5, 지하1층 (개금동,성원상떼뷰)<NA>제이에이치라이프 주식회사20190904000000U2019-09-06 02:40:00.0<NA>384430.630691185721.876197<NA>1500000000<NA>기타한국상조공제조합<NA><NA><NA>
2930상조업11_47_01_P62600002011626000005100001420110318<NA>1영업/정상1영업중<NA><NA><NA><NA>518660046<NA>614854부산광역시 부산진구 양정동 147번지 8호부산광역시 부산진구 중앙대로 980 (양정동)<NA>효경라이프(주)20190904000000U2019-09-06 02:40:00.0<NA>388915.339971188361.612802<NA>1500000000<NA>기타상조보증공제조합<NA><NA><NA>
3031상조업11_47_01_P62600002010626000005100000520101026<NA>1영업/정상1영업중<NA><NA><NA><NA>5116443651<NA>614720부산광역시 부산진구 범천동 839번지 48호 누리엔빌딩부산광역시 부산진구 자유평화로 11 (범천동)<NA>더리본 주식회사20190904000000U2019-09-06 02:40:00.0<NA>387778.879751184455.754009<NA>2000000000<NA>기타한국상조공제조합<NA><NA><NA>
3132상조업11_47_01_P62600002011626000005100000820110304<NA>1영업/정상1영업중<NA><NA><NA><NA>5115883971<NA>611080부산광역시 연제구 연산동 703번지 15호부산광역시 연제구 중앙대로 1074 (연산동)<NA>(주)새부산상조20190904000000U2019-09-06 02:40:00.0<NA>389409.092773189143.057208<NA>1501180000<NA>기타상조보증공제조합<NA><NA><NA>
3233상조업11_47_01_P62600002010626000005100000320101015<NA>1영업/정상1영업중<NA><NA><NA><NA>5115776250<NA>611080부산광역시 연제구 연산동 703번지 7호부산광역시 연제구 중앙대로 1066, 동천빌딩 (연산동)<NA>늘결애라이프온(주)20200901000000U2020-09-03 02:40:00.0<NA>389380.829121189077.938711<NA>1500030000부산은행<NA><NA><NA><NA><NA>
3334상조업11_47_01_P62600002010626000005100000120101005<NA>1영업/정상1영업중<NA><NA><NA><NA>5115995766<NA><NA>부산광역시 부산진구 범천동 848-20, 태창빌딩 5층부산광역시 부산진구 범일로 168, 태창빌딩 5층 (범천동)<NA>해피애플라이프(주)(변경전 : (주)해피상조)20200116000000U2020-01-18 02:40:00.0<NA>389743.411317190808.457352<NA>1500000000<NA>기타상조보증공제조합<NA><NA><NA>
3435상조업11_47_01_P62600002011626000005100001320110318<NA>1영업/정상1영업중<NA><NA><NA><NA>516361004<NA>601060부산광역시 동구 범일동 830번지 42호 썬오피스텔1,2층부산광역시 동구 조방로 39, 썬오피스텔 1,2층 (범일동)<NA>(주)조흥20190715000000U2019-07-17 02:40:00.0<NA>387727.932157184254.180459<NA>300000000우리은행<NA><NA><NA><NA><NA>
3536상조업11_47_01_P62600002010626000005100001320101227<NA>1영업/정상1영업중<NA><NA><NA><NA>518611472<NA>617050부산광역시 사상구 감전동 129번지 10호부산광역시 사상구 새벽시장로 57 (감전동)<NA>주식회사광명상조20190115000000U2019-01-17 02:40:00.0<NA>380347.381522185823.537047<NA>1500000000우리은행<NA><NA><NA><NA><NA>
3637상조업11_47_01_P62600002010626000005100000620101026<NA>1영업/정상1영업중<NA><NA><NA><NA>513052580<NA>617040부산광역시 사상구 덕포동 404번지 10호부산광역시 사상구 모덕로 85, 현대자동차 (모라동)<NA>아가페라이프주식회사20201118000000U2020-11-20 02:40:00.0<NA>380701.811852187902.713298<NA>1800000000부산은행기타한국상조공제조합<NA><NA><NA>
3738상조업11_47_01_P62600002013626000005100000220130816<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 중앙대로 270, 강남빌딩 11층 (초량동)<NA>(주)웰리빙라이프20190904000000U2019-09-06 02:40:00.0<NA>386177.958994182089.626705<NA>1500000000국민은행<NA><NA><NA>0<NA>