Overview

Dataset statistics

Number of variables37
Number of observations54
Missing cells847
Missing cells (%)42.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory324.4 B

Variable types

Numeric9
Categorical10
Unsupported14
Text4

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123157

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 is highly imbalanced (67.7%)Imbalance
영업상태명 is highly imbalanced (67.7%)Imbalance
상세영업상태코드 is highly imbalanced (67.7%)Imbalance
상세영업상태명 is highly imbalanced (67.7%)Imbalance
폐업일자 is highly imbalanced (77.2%)Imbalance
데이터갱신구분 is highly imbalanced (69.0%)Imbalance
데이터갱신일자 is highly imbalanced (68.5%)Imbalance
인허가취소일자 has 54 (100.0%) missing valuesMissing
휴업시작일자 has 54 (100.0%) missing valuesMissing
휴업종료일자 has 54 (100.0%) missing valuesMissing
재개업일자 has 54 (100.0%) missing valuesMissing
소재지전화 has 10 (18.5%) missing valuesMissing
소재지면적 has 54 (100.0%) missing valuesMissing
소재지우편번호 has 47 (87.0%) missing valuesMissing
소재지전체주소 has 10 (18.5%) missing valuesMissing
도로명전체주소 has 9 (16.7%) missing valuesMissing
도로명우편번호 has 15 (27.8%) missing valuesMissing
업태구분명 has 54 (100.0%) missing valuesMissing
업종구분명 has 54 (100.0%) missing valuesMissing
종별명 has 54 (100.0%) missing valuesMissing
주생산품명 has 54 (100.0%) missing valuesMissing
배출시설조업시간 has 54 (100.0%) missing valuesMissing
배출시설연간가동일수 has 54 (100.0%) missing valuesMissing
방지시설조업시간 has 54 (100.0%) missing valuesMissing
방지시설연간가동일수 has 54 (100.0%) missing valuesMissing
Unnamed: 36 has 54 (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
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
업종구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 12:58:21.648639
Analysis finished2024-04-16 12:58:21.959155
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:22.016495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2024-04-16T21:58:22.124820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
배출가스전문정비사업자(확인검사대행자)
54 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배출가스전문정비사업자(확인검사대행자)
2nd row배출가스전문정비사업자(확인검사대행자)
3rd row배출가스전문정비사업자(확인검사대행자)
4th row배출가스전문정비사업자(확인검사대행자)
5th row배출가스전문정비사업자(확인검사대행자)

Common Values

ValueCountFrequency (%)
배출가스전문정비사업자(확인검사대행자) 54
100.0%

Length

2024-04-16T21:58:22.230041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:22.318639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출가스전문정비사업자(확인검사대행자 54
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
09_30_09_P
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_09_P
2nd row09_30_09_P
3rd row09_30_09_P
4th row09_30_09_P
5th row09_30_09_P

Common Values

ValueCountFrequency (%)
09_30_09_P 54
100.0%

Length

2024-04-16T21:58:22.697720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:22.766999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_09_p 54
100.0%

개방자치단체코드
Real number (ℝ)

Distinct12
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3352592.6
Minimum3280000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:22.833702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3280000
5-th percentile3300000
Q13330000
median3350000
Q33390000
95-th percentile3390000
Maximum3400000
Range120000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation35137.744
Coefficient of variation (CV)0.010480768
Kurtosis-1.333015
Mean3352592.6
Median Absolute Deviation (MAD)40000
Skewness-0.26190442
Sum1.8104 × 108
Variance1.2346611 × 109
MonotonicityNot monotonic
2024-04-16T21:58:22.948920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3390000 19
35.2%
3330000 9
16.7%
3310000 6
 
11.1%
3350000 5
 
9.3%
3370000 4
 
7.4%
3300000 3
 
5.6%
3360000 2
 
3.7%
3320000 2
 
3.7%
3340000 1
 
1.9%
3290000 1
 
1.9%
Other values (2) 2
 
3.7%
ValueCountFrequency (%)
3280000 1
 
1.9%
3290000 1
 
1.9%
3300000 3
 
5.6%
3310000 6
11.1%
3320000 2
 
3.7%
3330000 9
16.7%
3340000 1
 
1.9%
3350000 5
9.3%
3360000 2
 
3.7%
3370000 4
7.4%
ValueCountFrequency (%)
3400000 1
 
1.9%
3390000 19
35.2%
3370000 4
 
7.4%
3360000 2
 
3.7%
3350000 5
 
9.3%
3340000 1
 
1.9%
3330000 9
16.7%
3320000 2
 
3.7%
3310000 6
 
11.1%
3300000 3
 
5.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3525932 × 1017
Minimum3.2800006 × 1017
Maximum3.4000006 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:23.062819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2800006 × 1017
5-th percentile3.3000006 × 1017
Q13.3300006 × 1017
median3.3500006 × 1017
Q33.3900006 × 1017
95-th percentile3.3900007 × 1017
Maximum3.4000006 × 1017
Range1.2 × 1016
Interquartile range (IQR)6 × 1015

Descriptive statistics

Standard deviation3.5137745 × 1015
Coefficient of variation (CV)0.010480766
Kurtosis-1.3330149
Mean3.3525932 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness-0.26190439
Sum-3.427406 × 1017
Variance1.2346611 × 1031
MonotonicityNot monotonic
2024-04-16T21:58:23.180081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339000064199700001 1
 
1.9%
331000064200000001 1
 
1.9%
334000064202000001 1
 
1.9%
333000064202000001 1
 
1.9%
333000064201300001 1
 
1.9%
333000064199800001 1
 
1.9%
333000064199600001 1
 
1.9%
333000064199300001 1
 
1.9%
333000064199700035 1
 
1.9%
333000065201700001 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
328000064200900002 1
1.9%
329000064199200001 1
1.9%
330000064200600003 1
1.9%
330000064201100001 1
1.9%
330000064201300001 1
1.9%
331000064199900001 1
1.9%
331000064200000001 1
1.9%
331000064201000001 1
1.9%
331000064201300001 1
1.9%
331000065201300001 1
1.9%
ValueCountFrequency (%)
340000064201100001 1
1.9%
339000065201300006 1
1.9%
339000065201300005 1
1.9%
339000065201300004 1
1.9%
339000065201300003 1
1.9%
339000065201300002 1
1.9%
339000065201300001 1
1.9%
339000064201400001 1
1.9%
339000064201000001 1
1.9%
339000064200600001 1
1.9%

인허가일자
Real number (ℝ)

Distinct46
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20047124
Minimum19911224
Maximum20200925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:23.290300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19911224
5-th percentile19911224
Q119973258
median20055418
Q320130506
95-th percentile20174188
Maximum20200925
Range289701
Interquartile range (IQR)157247.75

Descriptive statistics

Standard deviation84875.015
Coefficient of variation (CV)0.0042337751
Kurtosis-1.1738486
Mean20047124
Median Absolute Deviation (MAD)75155
Skewness-0.051289676
Sum1.0825447 × 109
Variance7.2037681 × 109
MonotonicityNot monotonic
2024-04-16T21:58:23.402518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
19911224 4
 
7.4%
20130813 3
 
5.6%
19930923 2
 
3.7%
19990102 2
 
3.7%
20130506 2
 
3.7%
19970910 1
 
1.9%
20140418 1
 
1.9%
19960126 1
 
1.9%
19970718 1
 
1.9%
20170407 1
 
1.9%
Other values (36) 36
66.7%
ValueCountFrequency (%)
19911224 4
7.4%
19920127 1
 
1.9%
19921014 1
 
1.9%
19930923 2
3.7%
19960126 1
 
1.9%
19970108 1
 
1.9%
19970605 1
 
1.9%
19970718 1
 
1.9%
19970728 1
 
1.9%
19970910 1
 
1.9%
ValueCountFrequency (%)
20200925 1
 
1.9%
20200826 1
 
1.9%
20181210 1
 
1.9%
20170407 1
 
1.9%
20140418 1
 
1.9%
20140220 1
 
1.9%
20130813 3
5.6%
20130806 1
 
1.9%
20130805 1
 
1.9%
20130802 1
 
1.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
49 
4
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
90.7%
4 4
 
7.4%
3 1
 
1.9%

Length

2024-04-16T21:58:23.533130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:23.629736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
90.7%
4 4
 
7.4%
3 1
 
1.9%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업/정상
49 
취소/말소/만료/정지/중지
 
4
폐업
 
1

Length

Max length14
Median length5
Mean length5.6111111
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 49
90.7%
취소/말소/만료/정지/중지 4
 
7.4%
폐업 1
 
1.9%

Length

2024-04-16T21:58:23.720066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:23.805820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 49
90.7%
취소/말소/만료/정지/중지 4
 
7.4%
폐업 1
 
1.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
11
49 
4
 
4
2
 
1

Length

Max length2
Median length2
Mean length1.9074074
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 49
90.7%
4 4
 
7.4%
2 1
 
1.9%

Length

2024-04-16T21:58:23.886790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:23.962003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 49
90.7%
4 4
 
7.4%
2 1
 
1.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업
49 
폐쇄
 
4
폐업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업 49
90.7%
폐쇄 4
 
7.4%
폐업 1
 
1.9%

Length

2024-04-16T21:58:24.039046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:24.111033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 49
90.7%
폐쇄 4
 
7.4%
폐업 1
 
1.9%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
50 
20111223
 
1
20091124
 
1
20111229
 
1
20130405
 
1

Length

Max length8
Median length4
Mean length4.2962963
Min length4

Unique

Unique4 ?
Unique (%)7.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
92.6%
20111223 1
 
1.9%
20091124 1
 
1.9%
20111229 1
 
1.9%
20130405 1
 
1.9%

Length

2024-04-16T21:58:24.197259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:24.293460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
92.6%
20111223 1
 
1.9%
20091124 1
 
1.9%
20111229 1
 
1.9%
20130405 1
 
1.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소재지전화
Text

MISSING 

Distinct41
Distinct (%)93.2%
Missing10
Missing (%)18.5%
Memory size564.0 B
2024-04-16T21:58:24.470207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.6363636
Min length7

Characters and Unicode

Total characters424
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)86.4%

Sample

1st row051 313-0501
2nd row051-324-1431
3rd row0513035511
4th row0513105582
5th row3152600
ValueCountFrequency (%)
051 3
 
6.1%
550-6821 2
 
4.1%
719-5155 2
 
4.1%
3152600 2
 
4.1%
0515211700 1
 
2.0%
0517840700 1
 
2.0%
0516257005 1
 
2.0%
0512049536 1
 
2.0%
051-781-7570 1
 
2.0%
0515290020 1
 
2.0%
Other values (34) 34
69.4%
2024-04-16T21:58:24.761538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 86
20.3%
1 77
18.2%
0 72
17.0%
2 33
 
7.8%
3 33
 
7.8%
- 27
 
6.4%
7 23
 
5.4%
6 19
 
4.5%
8 19
 
4.5%
9 15
 
3.5%
Other values (2) 20
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
92.5%
Dash Punctuation 27
 
6.4%
Space Separator 5
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 86
21.9%
1 77
19.6%
0 72
18.4%
2 33
 
8.4%
3 33
 
8.4%
7 23
 
5.9%
6 19
 
4.8%
8 19
 
4.8%
9 15
 
3.8%
4 15
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 424
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 86
20.3%
1 77
18.2%
0 72
17.0%
2 33
 
7.8%
3 33
 
7.8%
- 27
 
6.4%
7 23
 
5.4%
6 19
 
4.5%
8 19
 
4.5%
9 15
 
3.5%
Other values (2) 20
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 424
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 86
20.3%
1 77
18.2%
0 72
17.0%
2 33
 
7.8%
3 33
 
7.8%
- 27
 
6.4%
7 23
 
5.4%
6 19
 
4.5%
8 19
 
4.5%
9 15
 
3.5%
Other values (2) 20
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing47
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean615893.86
Minimum611080
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:24.859035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum611080
5-th percentile611374
Q1614550.5
median617050
Q3617060
95-th percentile619055.2
Maximum619906
Range8826
Interquartile range (IQR)2509.5

Descriptive statistics

Standard deviation3144.8782
Coefficient of variation (CV)0.0051062016
Kurtosis-0.53671875
Mean615893.86
Median Absolute Deviation (MAD)20
Skewness-0.72836783
Sum4311257
Variance9890258.8
MonotonicityNot monotonic
2024-04-16T21:58:24.933997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
617050 2
 
3.7%
617041 1
 
1.9%
617070 1
 
1.9%
611080 1
 
1.9%
619906 1
 
1.9%
612060 1
 
1.9%
(Missing) 47
87.0%
ValueCountFrequency (%)
611080 1
1.9%
612060 1
1.9%
617041 1
1.9%
617050 2
3.7%
617070 1
1.9%
619906 1
1.9%
ValueCountFrequency (%)
619906 1
1.9%
617070 1
1.9%
617050 2
3.7%
617041 1
1.9%
612060 1
1.9%
611080 1
1.9%

소재지전체주소
Text

MISSING 

Distinct38
Distinct (%)86.4%
Missing10
Missing (%)18.5%
Memory size564.0 B
2024-04-16T21:58:25.112690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length21.113636
Min length13

Characters and Unicode

Total characters929
Distinct characters73
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

Unique33 ?
Unique (%)75.0%

Sample

1st row부산광역시 사상구 감전동
2nd row부산광역시 사상구 주례동 1287
3rd row부산광역시 사상구 덕포동 257-1번지
4th row부산광역시 사상구 감전동 946-1번지
5th row부산광역시 사상구 감전동 160-1번지
ValueCountFrequency (%)
부산광역시 44
24.7%
사상구 11
 
6.2%
해운대구 8
 
4.5%
감전동 7
 
3.9%
남구 5
 
2.8%
금정구 5
 
2.8%
반여동 5
 
2.8%
감만동 4
 
2.2%
연제구 4
 
2.2%
금사동 3
 
1.7%
Other values (64) 82
46.1%
2024-04-16T21:58:25.419101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
14.4%
동 48
 
5.2%
부 47
 
5.1%
산 47
 
5.1%
1 45
 
4.8%
구 45
 
4.8%
광 44
 
4.7%
역 44
 
4.7%
시 44
 
4.7%
지 39
 
4.2%
Other values (63) 392
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 577
62.1%
Decimal Number 179
 
19.3%
Space Separator 134
 
14.4%
Dash Punctuation 38
 
4.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
8.3%
부 47
 
8.1%
산 47
 
8.1%
구 45
 
7.8%
광 44
 
7.6%
역 44
 
7.6%
시 44
 
7.6%
지 39
 
6.8%
번 39
 
6.8%
사 16
 
2.8%
Other values (50) 164
28.4%
Decimal Number
ValueCountFrequency (%)
1 45
25.1%
2 28
15.6%
0 17
 
9.5%
8 17
 
9.5%
7 15
 
8.4%
4 14
 
7.8%
5 12
 
6.7%
6 11
 
6.1%
3 10
 
5.6%
9 10
 
5.6%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 577
62.1%
Common 352
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
8.3%
부 47
 
8.1%
산 47
 
8.1%
구 45
 
7.8%
광 44
 
7.6%
역 44
 
7.6%
시 44
 
7.6%
지 39
 
6.8%
번 39
 
6.8%
사 16
 
2.8%
Other values (50) 164
28.4%
Common
ValueCountFrequency (%)
134
38.1%
1 45
 
12.8%
- 38
 
10.8%
2 28
 
8.0%
0 17
 
4.8%
8 17
 
4.8%
7 15
 
4.3%
4 14
 
4.0%
5 12
 
3.4%
6 11
 
3.1%
Other values (3) 21
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 577
62.1%
ASCII 352
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
38.1%
1 45
 
12.8%
- 38
 
10.8%
2 28
 
8.0%
0 17
 
4.8%
8 17
 
4.8%
7 15
 
4.3%
4 14
 
4.0%
5 12
 
3.4%
6 11
 
3.1%
Other values (3) 21
 
6.0%
Hangul
ValueCountFrequency (%)
동 48
 
8.3%
부 47
 
8.1%
산 47
 
8.1%
구 45
 
7.8%
광 44
 
7.6%
역 44
 
7.6%
시 44
 
7.6%
지 39
 
6.8%
번 39
 
6.8%
사 16
 
2.8%
Other values (50) 164
28.4%

도로명전체주소
Text

MISSING 

Distinct34
Distinct (%)75.6%
Missing9
Missing (%)16.7%
Memory size564.0 B
2024-04-16T21:58:25.638643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length25.577778
Min length22

Characters and Unicode

Total characters1151
Distinct characters101
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

Unique25 ?
Unique (%)55.6%

Sample

1st row부산광역시 사상구 학감대로237번길 13 (감전동)
2nd row부산광역시 사상구 학장로 256 (주례동, 교통안전공단)
3rd row부산광역시 사상구 가야대로 86 (학장동)
4th row부산광역시 사상구 삼덕로45번길 142 (덕포동)
5th row부산광역시 사상구 낙동대로1016번길 32 (감전동)
ValueCountFrequency (%)
부산광역시 45
 
19.8%
사상구 19
 
8.4%
감전동 11
 
4.8%
해운대구 8
 
3.5%
가야대로 5
 
2.2%
반여동 5
 
2.2%
학장동 5
 
2.2%
남구 4
 
1.8%
연제구 4
 
1.8%
우암로 4
 
1.8%
Other values (82) 117
51.5%
2024-04-16T21:58:25.966156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
16.1%
동 60
 
5.2%
산 49
 
4.3%
1 48
 
4.2%
부 46
 
4.0%
시 46
 
4.0%
구 46
 
4.0%
광 45
 
3.9%
역 45
 
3.9%
로 45
 
3.9%
Other values (91) 536
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
61.7%
Space Separator 185
 
16.1%
Decimal Number 164
 
14.2%
Open Punctuation 44
 
3.8%
Close Punctuation 44
 
3.8%
Dash Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 60
 
8.5%
산 49
 
6.9%
부 46
 
6.5%
시 46
 
6.5%
구 46
 
6.5%
광 45
 
6.3%
역 45
 
6.3%
로 45
 
6.3%
대 32
 
4.5%
사 21
 
3.0%
Other values (76) 275
38.7%
Decimal Number
ValueCountFrequency (%)
1 48
29.3%
2 18
 
11.0%
6 16
 
9.8%
4 15
 
9.1%
5 15
 
9.1%
3 14
 
8.5%
0 13
 
7.9%
8 10
 
6.1%
7 10
 
6.1%
9 5
 
3.0%
Space Separator
ValueCountFrequency (%)
185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
61.7%
Common 441
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 60
 
8.5%
산 49
 
6.9%
부 46
 
6.5%
시 46
 
6.5%
구 46
 
6.5%
광 45
 
6.3%
역 45
 
6.3%
로 45
 
6.3%
대 32
 
4.5%
사 21
 
3.0%
Other values (76) 275
38.7%
Common
ValueCountFrequency (%)
185
42.0%
1 48
 
10.9%
( 44
 
10.0%
) 44
 
10.0%
2 18
 
4.1%
6 16
 
3.6%
4 15
 
3.4%
5 15
 
3.4%
3 14
 
3.2%
0 13
 
2.9%
Other values (5) 29
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
61.7%
ASCII 441
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
42.0%
1 48
 
10.9%
( 44
 
10.0%
) 44
 
10.0%
2 18
 
4.1%
6 16
 
3.6%
4 15
 
3.4%
5 15
 
3.4%
3 14
 
3.2%
0 13
 
2.9%
Other values (5) 29
 
6.6%
Hangul
ValueCountFrequency (%)
동 60
 
8.5%
산 49
 
6.9%
부 46
 
6.5%
시 46
 
6.5%
구 46
 
6.5%
광 45
 
6.3%
역 45
 
6.3%
로 45
 
6.3%
대 32
 
4.5%
사 21
 
3.0%
Other values (76) 275
38.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)59.0%
Missing15
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean556324.74
Minimum46622
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:26.061482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46622
5-th percentile47945.7
Q1608800
median614865
Q3617804
95-th percentile617885.7
Maximum619906
Range573284
Interquartile range (IQR)9004

Descriptive statistics

Standard deviation174327.75
Coefficient of variation (CV)0.31335609
Kurtosis5.7136263
Mean556324.74
Median Absolute Deviation (MAD)2976
Skewness-2.7234516
Sum21696665
Variance3.0390164 × 1010
MonotonicityNot monotonic
2024-04-16T21:58:26.144492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
617804 4
 
7.4%
608800 4
 
7.4%
617801 4
 
7.4%
617841 4
 
7.4%
612811 3
 
5.6%
612859 2
 
3.7%
607822 2
 
3.7%
46622 1
 
1.9%
616801 1
 
1.9%
606805 1
 
1.9%
Other values (13) 13
24.1%
(Missing) 15
27.8%
ValueCountFrequency (%)
46622 1
 
1.9%
47016 1
 
1.9%
48049 1
 
1.9%
48056 1
 
1.9%
606805 1
 
1.9%
607822 2
3.7%
607829 1
 
1.9%
608800 4
7.4%
611080 1
 
1.9%
612811 3
5.6%
ValueCountFrequency (%)
619906 1
 
1.9%
618270 1
 
1.9%
617843 1
 
1.9%
617841 4
7.4%
617805 1
 
1.9%
617804 4
7.4%
617801 4
7.4%
617070 1
 
1.9%
617041 1
 
1.9%
616801 1
 
1.9%

사업장명
Text

Distinct47
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-16T21:58:26.306461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length10.888889
Min length4

Characters and Unicode

Total characters588
Distinct characters91
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)75.9%

Sample

1st row(주)경남정비공업사
2nd row교통안전공단 주례자동차검사소
3rd row현대자동차(주)사상사업소
4th row카랜드자동차검사종합정비(주)
5th row쌍용자동차부산사업소(주)
ValueCountFrequency (%)
씨제이대한통운(주 3
 
4.9%
부산정비공장 3
 
4.9%
주)현대정비공업 2
 
3.3%
천일공업사 2
 
3.3%
르노삼성자동차(주)동래사업소 2
 
3.3%
주)천일석유천일정비공업 2
 
3.3%
주)경남정비공업사 2
 
3.3%
한국교통안전공단 2
 
3.3%
해운대자동차검사소 2
 
3.3%
성일자동차전문정비 1
 
1.6%
Other values (40) 40
65.6%
2024-04-16T21:58:26.596430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 37
 
6.3%
주 34
 
5.8%
) 33
 
5.6%
( 33
 
5.6%
동 31
 
5.3%
정 29
 
4.9%
사 24
 
4.1%
공 23
 
3.9%
자 23
 
3.9%
차 22
 
3.7%
Other values (81) 299
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
86.7%
Close Punctuation 33
 
5.6%
Open Punctuation 33
 
5.6%
Space Separator 7
 
1.2%
Decimal Number 3
 
0.5%
Uppercase Letter 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 37
 
7.3%
주 34
 
6.7%
동 31
 
6.1%
정 29
 
5.7%
사 24
 
4.7%
공 23
 
4.5%
자 23
 
4.5%
차 22
 
4.3%
업 20
 
3.9%
대 15
 
2.9%
Other values (75) 252
49.4%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
V 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
86.9%
Common 76
 
12.9%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 37
 
7.2%
주 34
 
6.7%
동 31
 
6.1%
정 29
 
5.7%
사 24
 
4.7%
공 23
 
4.5%
자 23
 
4.5%
차 22
 
4.3%
업 20
 
3.9%
대 15
 
2.9%
Other values (76) 253
49.5%
Common
ValueCountFrequency (%)
) 33
43.4%
( 33
43.4%
7
 
9.2%
1 3
 
3.9%
Latin
ValueCountFrequency (%)
V 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
86.7%
ASCII 77
 
13.1%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 37
 
7.3%
주 34
 
6.7%
동 31
 
6.1%
정 29
 
5.7%
사 24
 
4.7%
공 23
 
4.5%
자 23
 
4.5%
차 22
 
4.3%
업 20
 
3.9%
대 15
 
2.9%
Other values (75) 252
49.4%
ASCII
ValueCountFrequency (%)
) 33
42.9%
( 33
42.9%
7
 
9.1%
1 3
 
3.9%
V 1
 
1.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132248 × 1013
Minimum2.0080215 × 1013
Maximum2.0201214 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:26.740014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080215 × 1013
5-th percentile2.0097587 × 1013
Q12.011103 × 1013
median2.013056 × 1013
Q32.0140415 × 1013
95-th percentile2.0201022 × 1013
Maximum2.0201214 × 1013
Range1.2099908 × 1011
Interquartile range (IQR)2.9385 × 1010

Descriptive statistics

Standard deviation3.1462973 × 1010
Coefficient of variation (CV)0.0015628147
Kurtosis0.42617988
Mean2.0132248 × 1013
Median Absolute Deviation (MAD)1.9390984 × 1010
Skewness0.94760559
Sum1.0871414 × 1015
Variance9.8991868 × 1020
MonotonicityNot monotonic
2024-04-16T21:58:26.890987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201202111455 1
 
1.9%
20110113164757 1
 
1.9%
20200826142224 1
 
1.9%
20200925180519 1
 
1.9%
20130613090533 1
 
1.9%
20111223104559 1
 
1.9%
20111223104305 1
 
1.9%
20111223103957 1
 
1.9%
20111030140016 1
 
1.9%
20170407114558 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
20080215115157 1
1.9%
20081217132414 1
1.9%
20091215144741 1
1.9%
20101018144810 1
1.9%
20101122144930 1
1.9%
20101122154315 1
1.9%
20101209143434 1
1.9%
20101231143214 1
1.9%
20110113164757 1
1.9%
20111030132902 1
1.9%
ValueCountFrequency (%)
20201214190801 1
1.9%
20201202112638 1
1.9%
20201202111455 1
1.9%
20200925180519 1
1.9%
20200826142224 1
1.9%
20200819161347 1
1.9%
20181210161620 1
1.9%
20170407114558 1
1.9%
20150420094942 1
1.9%
20150420094407 1
1.9%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
I
51 
U
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 51
94.4%
U 3
 
5.6%

Length

2024-04-16T21:58:27.010801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:27.086698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 51
94.4%
u 3
 
5.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2018-08-31 23:59:59.0
47 
2020-12-04 02:40:00.0
 
2
2020-08-21 00:23:14.0
 
1
2020-12-16 02:40:00.0
 
1
2020-08-28 00:23:13.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique5 ?
Unique (%)9.3%

Sample

1st row2020-12-04 02:40:00.0
2nd row2020-08-21 00:23:14.0
3rd row2020-12-16 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 47
87.0%
2020-12-04 02:40:00.0 2
 
3.7%
2020-08-21 00:23:14.0 1
 
1.9%
2020-12-16 02:40:00.0 1
 
1.9%
2020-08-28 00:23:13.0 1
 
1.9%
2020-09-27 00:23:11.0 1
 
1.9%
2018-12-12 02:20:14.0 1
 
1.9%

Length

2024-04-16T21:58:27.178210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:27.265841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 47
43.5%
23:59:59.0 47
43.5%
02:40:00.0 3
 
2.8%
2020-12-04 2
 
1.9%
2020-08-21 1
 
0.9%
00:23:14.0 1
 
0.9%
2020-12-16 1
 
0.9%
2020-08-28 1
 
0.9%
00:23:13.0 1
 
0.9%
2020-09-27 1
 
0.9%
Other values (3) 3
 
2.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

좌표정보(x)
Real number (ℝ)

Distinct42
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386307.68
Minimum368174.49
Maximum401660.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:27.367444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum368174.49
5-th percentile379692.53
Q1380942.76
median389313.51
Q3391743.04
95-th percentile393121.73
Maximum401660.18
Range33485.686
Interquartile range (IQR)10800.286

Descriptive statistics

Standard deviation6528.3051
Coefficient of variation (CV)0.016899237
Kurtosis0.10697012
Mean386307.68
Median Absolute Deviation (MAD)3808.2151
Skewness-0.43217067
Sum20860615
Variance42618767
MonotonicityNot monotonic
2024-04-16T21:58:27.475959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
389719.102901113 4
 
7.4%
381189.377762052 2
 
3.7%
381111.586783099 2
 
3.7%
393024.352526784 2
 
3.7%
393121.728126385 2
 
3.7%
392878.992505907 2
 
3.7%
389723.432070945 2
 
3.7%
379810.761260608 2
 
3.7%
380942.757236247 2
 
3.7%
380594.451032044 2
 
3.7%
Other values (32) 32
59.3%
ValueCountFrequency (%)
368174.490386272 1
1.9%
370083.902222437 1
1.9%
379472.968367501 1
1.9%
379810.761260608 2
3.7%
379822.861941296 1
1.9%
379823.952639335 1
1.9%
379982.785337209 1
1.9%
380398.986546853 1
1.9%
380522.017179345 1
1.9%
380594.451032044 2
3.7%
ValueCountFrequency (%)
401660.175934481 1
1.9%
393435.514575362 1
1.9%
393121.728126385 2
3.7%
393024.352526784 2
3.7%
392921.48317578 1
1.9%
392878.992505907 2
3.7%
392824.856376249 1
1.9%
392652.68854258 1
1.9%
392616.768379677 1
1.9%
392150.311566417 1
1.9%

좌표정보(y)
Real number (ℝ)

Distinct42
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187281.93
Minimum178093.04
Maximum195110.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-16T21:58:27.607638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178093.04
5-th percentile179299.77
Q1185157.89
median186150.26
Q3190811.09
95-th percentile193813.99
Maximum195110.24
Range17017.2
Interquartile range (IQR)5653.1964

Descriptive statistics

Standard deviation4389.0922
Coefficient of variation (CV)0.023435748
Kurtosis-0.73142679
Mean187281.93
Median Absolute Deviation (MAD)3807.5511
Skewness-0.18394291
Sum10113224
Variance19264130
MonotonicityNot monotonic
2024-04-16T21:58:27.720280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
182170.335208387 4
 
7.4%
185447.274421213 2
 
3.7%
185259.914465832 2
 
3.7%
189243.922228213 2
 
3.7%
191620.428118046 2
 
3.7%
191808.711736804 2
 
3.7%
190848.411196504 2
 
3.7%
185797.640711346 2
 
3.7%
185360.314358592 2
 
3.7%
185231.119861478 2
 
3.7%
Other values (32) 32
59.3%
ValueCountFrequency (%)
178093.042100151 1
 
1.9%
178751.376507953 1
 
1.9%
179298.903861237 1
 
1.9%
179300.229488675 1
 
1.9%
181213.498599098 1
 
1.9%
181719.473550996 1
 
1.9%
182170.335208387 4
7.4%
184065.123300102 1
 
1.9%
184576.170084546 1
 
1.9%
184704.41226628 1
 
1.9%
ValueCountFrequency (%)
195110.242347013 1
1.9%
195056.588827699 1
1.9%
194909.044661112 1
1.9%
193224.348662114 1
1.9%
192949.096344971 1
1.9%
192692.883865425 1
1.9%
191890.227829938 1
1.9%
191808.711736804 2
3.7%
191620.428118046 2
3.7%
190945.240808334 1
1.9%

환경업무구분명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
확인검사대행자
44 
배출가스전문정비사업자
10 

Length

Max length11
Median length7
Mean length7.7407407
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
확인검사대행자 44
81.5%
배출가스전문정비사업자 10
 
18.5%

Length

2024-04-16T21:58:27.836361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:58:27.948353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
확인검사대행자 44
81.5%
배출가스전문정비사업자 10
 
18.5%

업종구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

배출시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

방지시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수Unnamed: 36
01배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006419970000119970910<NA>1영업/정상11영업<NA><NA><NA><NA>051 313-0501<NA><NA>부산광역시 사상구 감전동부산광역시 사상구 학감대로237번길 13 (감전동)617801(주)경남정비공업사20201202111455U2020-12-04 02:40:00.0<NA>381189.377762185447.274421확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
12배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006419930000119930923<NA>1영업/정상11영업<NA><NA><NA><NA>051-324-1431<NA><NA>부산광역시 사상구 주례동 1287부산광역시 사상구 학장로 256 (주례동, 교통안전공단)47016교통안전공단 주례자동차검사소20200819161347I2020-08-21 00:23:14.0<NA>381693.914811184704.412266확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
23배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006419910000119911224<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 가야대로 86 (학장동)617841현대자동차(주)사상사업소20201214190801U2020-12-16 02:40:00.0<NA>380594.451032185231.119861확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
34배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006420050003120050618<NA>1영업/정상11영업<NA><NA><NA><NA>0513035511<NA>617041부산광역시 사상구 덕포동 257-1번지부산광역시 사상구 삼덕로45번길 142 (덕포동)617041카랜드자동차검사종합정비(주)20140415140808I2018-08-31 23:59:59.0<NA>380634.067504188592.312554확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
45배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006420030002920030709<NA>1영업/정상11영업<NA><NA><NA><NA>0513105582<NA>617050부산광역시 사상구 감전동 946-1번지부산광역시 사상구 낙동대로1016번길 32 (감전동)617804쌍용자동차부산사업소(주)20140415140654I2018-08-31 23:59:59.0<NA>379822.861941185204.563877확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
56배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006419990001919990102<NA>1영업/정상11영업<NA><NA><NA><NA>3152600<NA><NA>부산광역시 사상구 감전동 160-1번지부산광역시 사상구 대동로 268 (감전동)<NA>천일공업사20140415140638I2018-08-31 23:59:59.0<NA>380942.757236185360.314359확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
67배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006419990001819990102<NA>1영업/정상11영업<NA><NA><NA><NA>3152600<NA><NA>부산광역시 사상구 감전동 160-1번지부산광역시 사상구 대동로 268 (감전동)<NA>천일공업사20140415140601I2018-08-31 23:59:59.0<NA>380942.757236185360.314359확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
78배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006420000000120000103<NA>1영업/정상11영업<NA><NA><NA><NA>3156673<NA><NA>부산광역시 사상구 감전동 945-4번지부산광역시 사상구 낙동대로1016번길 29 (감전동)617804(주)동방정비20140213104259I2018-08-31 23:59:59.0<NA>379823.952639185330.280718확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
89배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006420140000120140220<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 학장동 212번지부산광역시 사상구 주례로 213 (학장동)617841부일종합정비20140220180141I2018-08-31 23:59:59.0<NA>381599.296386184576.170085확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
910배출가스전문정비사업자(확인검사대행자)09_30_09_P339000033900006520130000620130115<NA>1영업/정상11영업<NA><NA><NA><NA>051-315-8585<NA><NA><NA>부산광역시 사상구 가야대로 70 (학장동)617843대우사상서비스(주)20140224120115I2018-08-31 23:59:59.0<NA>380398.986547185257.294219배출가스전문정비사업자<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수Unnamed: 36
4445배출가스전문정비사업자(확인검사대행자)09_30_09_P331000033100006520140000120140418<NA>1영업/정상11영업<NA><NA><NA><NA>719-5155<NA><NA>부산광역시 남구 감만동 8-12번지부산광역시 남구 우암로 114 (감만동)608800씨제이대한통운(주) 부산정비공장20150420094407I2018-08-31 23:59:59.0<NA>389719.102901182170.335208배출가스전문정비사업자<NA><NA><NA><NA><NA><NA><NA><NA>
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5051배출가스전문정비사업자(확인검사대행자)09_30_09_P333000033300006419970000319970605<NA>4취소/말소/만료/정지/중지4폐쇄20111223<NA><NA><NA>0517840700<NA><NA>부산광역시 해운대구 재송동 900-11번지<NA><NA>(주)명성테크20111223172134I2018-08-31 23:59:59.0<NA>392921.483176189828.886114확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
5152배출가스전문정비사업자(확인검사대행자)09_30_09_P333000033300006419970003419970108<NA>4취소/말소/만료/정지/중지4폐쇄20091124<NA><NA><NA>0515211700<NA>612060부산광역시 해운대구 반여동 1440-12번지부산광역시 해운대구 선수촌로 57-6 (반여동)612811(주)대통기공20111223104646I2018-08-31 23:59:59.0<NA>392824.856376190945.240808확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
5253배출가스전문정비사업자(확인검사대행자)09_30_09_P328000032800006420090000220091104<NA>4취소/말소/만료/정지/중지4폐쇄20111229<NA><NA><NA>051 416 5700<NA><NA>부산광역시 영도구 동삼동 201-37번지부산광역시 영도구 해양로195번길 48 (동삼동)6068051급쌍용종합정비공업사20111229161024I2018-08-31 23:59:59.0<NA>389053.443962178751.376508확인검사대행자<NA><NA><NA><NA><NA><NA><NA><NA>
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