Overview

Dataset statistics

Number of variables33
Number of observations112
Missing cells952
Missing cells (%)25.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.3 KiB
Average record size in memory286.1 B

Variable types

Numeric11
Categorical12
Unsupported7
Text3

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123144

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
소속국가명 is highly imbalanced (70.0%)Imbalance
인허가취소일자 has 112 (100.0%) missing valuesMissing
폐업일자 has 72 (64.3%) missing valuesMissing
휴업시작일자 has 112 (100.0%) missing valuesMissing
휴업종료일자 has 112 (100.0%) missing valuesMissing
재개업일자 has 112 (100.0%) missing valuesMissing
소재지면적 has 112 (100.0%) missing valuesMissing
소재지우편번호 has 21 (18.8%) missing valuesMissing
도로명전체주소 has 12 (10.7%) missing valuesMissing
도로명우편번호 has 28 (25.0%) missing valuesMissing
업태구분명 has 112 (100.0%) missing valuesMissing
좌표정보(x) has 12 (10.7%) missing valuesMissing
좌표정보(y) has 12 (10.7%) missing valuesMissing
실질자본금 has 11 (9.8%) missing valuesMissing
Unnamed: 32 has 112 (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
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실질자본금 has 34 (30.4%) zerosZeros

Reproduction

Analysis started2024-04-21 16:19:35.940824
Analysis finished2024-04-21 16:19:36.688687
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.5
Minimum1
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:36.885660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.55
Q128.75
median56.5
Q384.25
95-th percentile106.45
Maximum112
Range111
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation32.475632
Coefficient of variation (CV)0.57478994
Kurtosis-1.2
Mean56.5
Median Absolute Deviation (MAD)28
Skewness0
Sum6328
Variance1054.6667
MonotonicityStrictly increasing
2024-04-22T01:19:37.319752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
58 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
Other values (102) 102
91.1%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
전력기술설계업체
112 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전력기술설계업체 112
100.0%

Length

2024-04-22T01:19:37.722801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:38.011456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전력기술설계업체 112
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
09_28_13_P
112 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_13_P
2nd row09_28_13_P
3rd row09_28_13_P
4th row09_28_13_P
5th row09_28_13_P

Common Values

ValueCountFrequency (%)
09_28_13_P 112
100.0%

Length

2024-04-22T01:19:38.313218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:38.602459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_13_p 112
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
6260000
112 

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 112
100.0%

Length

2024-04-22T01:19:38.904029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:39.189696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 112
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0104831 × 1017
Minimum1.997626 × 1017
Maximum2.020626 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:39.517003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.997626 × 1017
5-th percentile1.998626 × 1017
Q12.005626 × 1017
median2.010126 × 1017
Q32.016876 × 1017
95-th percentile2.020626 × 1017
Maximum2.020626 × 1017
Range2.3 × 1015
Interquartile range (IQR)1.125 × 1015

Descriptive statistics

Standard deviation6.8888958 × 1014
Coefficient of variation (CV)0.0034264877
Kurtosis-1.1370865
Mean2.0104831 × 1017
Median Absolute Deviation (MAD)5.5 × 1014
Skewness-0.14382654
Sum4.0706671 × 1018
Variance4.7456885 × 1029
MonotonicityNot monotonic
2024-04-22T01:19:39.952500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201962600008500001 1
 
0.9%
201162600008500003 1
 
0.9%
200862600008500005 1
 
0.9%
200862600008500004 1
 
0.9%
200862600008500003 1
 
0.9%
200862600008500002 1
 
0.9%
200762600008500003 1
 
0.9%
200762600008500002 1
 
0.9%
200662600008500008 1
 
0.9%
200762600008500001 1
 
0.9%
Other values (102) 102
91.1%
ValueCountFrequency (%)
199762600008500001 1
0.9%
199762600008500002 1
0.9%
199762600008500003 1
0.9%
199762600008500004 1
0.9%
199762600008500005 1
0.9%
199862600008500001 1
0.9%
199862600008500002 1
0.9%
199962600008500001 1
0.9%
199962600008500002 1
0.9%
199962600008500003 1
0.9%
ValueCountFrequency (%)
202062600008500008 1
0.9%
202062600008500007 1
0.9%
202062600008500006 1
0.9%
202062600008500005 1
0.9%
202062600008500004 1
0.9%
202062600008500003 1
0.9%
202062600008500002 1
0.9%
202062600008500001 1
0.9%
201962600008500004 1
0.9%
201962600008500003 1
0.9%

인허가일자
Real number (ℝ)

Distinct109
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20097568
Minimum19970314
Maximum20201222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:40.366397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970314
5-th percentile19975930
Q120047812
median20090374
Q320162828
95-th percentile20200226
Maximum20201222
Range230908
Interquartile range (IQR)115016

Descriptive statistics

Standard deviation69838.124
Coefficient of variation (CV)0.003474954
Kurtosis-1.1415962
Mean20097568
Median Absolute Deviation (MAD)59786
Skewness-0.13282578
Sum2.2509276 × 109
Variance4.8773636 × 109
MonotonicityNot monotonic
2024-04-22T01:19:40.799021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200224 2
 
1.8%
20100324 2
 
1.8%
20021210 2
 
1.8%
20190128 1
 
0.9%
20040722 1
 
0.9%
20081111 1
 
0.9%
20080924 1
 
0.9%
20080812 1
 
0.9%
20080603 1
 
0.9%
20070612 1
 
0.9%
Other values (99) 99
88.4%
ValueCountFrequency (%)
19970314 1
0.9%
19970402 1
0.9%
19970407 1
0.9%
19970506 1
0.9%
19970510 1
0.9%
19970702 1
0.9%
19980207 1
0.9%
19980804 1
0.9%
19990205 1
0.9%
19990609 1
0.9%
ValueCountFrequency (%)
20201222 1
0.9%
20201221 1
0.9%
20200812 1
0.9%
20200804 1
0.9%
20200721 1
0.9%
20200228 1
0.9%
20200224 2
1.8%
20190917 1
0.9%
20190422 1
0.9%
20190404 1
0.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
68 
3
43 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
60.7%
3 43
38.4%
4 1
 
0.9%

Length

2024-04-22T01:19:41.197274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:41.501775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
60.7%
3 43
38.4%
4 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
68 
폐업
43 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.9285714
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 68
60.7%
폐업 43
38.4%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2024-04-22T01:19:41.849079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:42.169878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 68
60.7%
폐업 43
38.4%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
68 
3
43 
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
60.7%
3 43
38.4%
6 1
 
0.9%

Length

2024-04-22T01:19:42.501500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:42.756539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
60.7%
3 43
38.4%
6 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
인허가
68 
폐업
43 
합병말소
 
1

Length

Max length4
Median length3
Mean length2.625
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 68
60.7%
폐업 43
38.4%
합병말소 1
 
0.9%

Length

2024-04-22T01:19:42.958147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:43.153710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 68
60.7%
폐업 43
38.4%
합병말소 1
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)95.0%
Missing72
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean20129373
Minimum20050930
Maximum20200211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:43.545050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050930
5-th percentile20060197
Q120078386
median20135964
Q320173557
95-th percentile20190737
Maximum20200211
Range149281
Interquartile range (IQR)95171.25

Descriptive statistics

Standard deviation50346.274
Coefficient of variation (CV)0.0025011347
Kurtosis-1.5838441
Mean20129373
Median Absolute Deviation (MAD)49957
Skewness-0.13615696
Sum8.0517494 × 108
Variance2.5347473 × 109
MonotonicityNot monotonic
2024-04-22T01:19:43.788334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20090209 2
 
1.8%
20170228 2
 
1.8%
20070830 1
 
0.9%
20070521 1
 
0.9%
20090825 1
 
0.9%
20190416 1
 
0.9%
20190722 1
 
0.9%
20171205 1
 
0.9%
20080813 1
 
0.9%
20080908 1
 
0.9%
Other values (28) 28
 
25.0%
(Missing) 72
64.3%
ValueCountFrequency (%)
20050930 1
0.9%
20060112 1
0.9%
20060201 1
0.9%
20060307 1
0.9%
20060908 1
0.9%
20070521 1
0.9%
20070626 1
0.9%
20070716 1
0.9%
20070830 1
0.9%
20071105 1
0.9%
ValueCountFrequency (%)
20200211 1
0.9%
20191001 1
0.9%
20190723 1
0.9%
20190722 1
0.9%
20190610 1
0.9%
20190416 1
0.9%
20190131 1
0.9%
20190123 1
0.9%
20180727 1
0.9%
20180614 1
0.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Real number (ℝ)

Distinct99
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7960527 × 108
Minimum24508455
Maximum7.088538 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:44.037781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24508455
5-th percentile5.128102 × 108
Q15.1506684 × 108
median5.1637031 × 108
Q35.181743 × 108
95-th percentile7.0488101 × 109
Maximum7.088538 × 109
Range7.0640295 × 109
Interquartile range (IQR)3107458.2

Descriptive statistics

Standard deviation1.6959311 × 109
Coefficient of variation (CV)1.7312392
Kurtosis9.5332394
Mean9.7960527 × 108
Median Absolute Deviation (MAD)1501495.5
Skewness3.3689451
Sum1.0971579 × 1011
Variance2.8761822 × 1018
MonotonicityNot monotonic
2024-04-22T01:19:44.293282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
518521355 4
 
3.6%
515567266 2
 
1.8%
515066051 2
 
1.8%
513265760 2
 
1.8%
515066677 2
 
1.8%
516370316 2
 
1.8%
517147358 2
 
1.8%
515070119 2
 
1.8%
517140019 2
 
1.8%
518689741 2
 
1.8%
Other values (89) 90
80.4%
ValueCountFrequency (%)
24508455 1
0.9%
512053808 1
0.9%
512411656 1
0.9%
512442112 1
0.9%
512483033 1
0.9%
512548141 1
0.9%
513024613 1
0.9%
513238151 1
0.9%
513265760 2
1.8%
513297000 1
0.9%
ValueCountFrequency (%)
7088537974 1
0.9%
7086726099 1
0.9%
7075084300 1
0.9%
7075024300 1
0.9%
7050966147 1
0.9%
7050916143 1
0.9%
7047086996 1
0.9%
7043277258 1
0.9%
519738604 1
0.9%
519362563 1
0.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)81.3%
Missing21
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean406127.41
Minimum46080
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:44.542740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46080
5-th percentile46712
Q148051.5
median607813
Q3611823.5
95-th percentile615840
Maximum619906
Range573826
Interquartile range (IQR)563772

Descriptive statistics

Standard deviation272003.73
Coefficient of variation (CV)0.66974976
Kurtosis-1.7000608
Mean406127.41
Median Absolute Deviation (MAD)7036
Skewness-0.58046034
Sum36957594
Variance7.3986031 × 1010
MonotonicityNot monotonic
2024-04-22T01:19:44.781806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 3
 
2.7%
607823 3
 
2.7%
607834 3
 
2.7%
601709 3
 
2.7%
612020 2
 
1.8%
46080 2
 
1.8%
611839 2
 
1.8%
607839 2
 
1.8%
609809 2
 
1.8%
607813 2
 
1.8%
Other values (64) 67
59.8%
(Missing) 21
 
18.8%
ValueCountFrequency (%)
46080 2
1.8%
46249 1
0.9%
46703 2
1.8%
46721 1
0.9%
46754 1
0.9%
46981 1
0.9%
47016 1
0.9%
47101 1
0.9%
47231 1
0.9%
47232 1
0.9%
ValueCountFrequency (%)
619906 1
0.9%
618800 1
0.9%
617838 1
0.9%
617825 1
0.9%
616805 1
0.9%
614875 1
0.9%
614873 1
0.9%
614869 1
0.9%
614865 1
0.9%
614862 1
0.9%

소재지전체주소
Text

Distinct109
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-22T01:19:45.854588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length28.955357
Min length16

Characters and Unicode

Total characters3243
Distinct characters184
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

Unique106 ?
Unique (%)94.6%

Sample

1st row부산광역시 동구 범일동 830-296 진흥마제스타워범일 103동 3407호
2nd row부산광역시 수영구 수영동 500-6
3rd row부산광역시 사상구 주례동 637번지 동우E&C
4th row부산광역시 동래구 안락동 756-13
5th row부산광역시 해운대구 재송동 1208-2 센텀스카이비즈 3710호
ValueCountFrequency (%)
부산광역시 104
 
16.5%
동래구 27
 
4.3%
부산진구 18
 
2.9%
연제구 15
 
2.4%
해운대구 11
 
1.7%
1호 10
 
1.6%
동구 9
 
1.4%
연산동 9
 
1.4%
부산 8
 
1.3%
강서구 7
 
1.1%
Other values (298) 412
65.4%
2024-04-22T01:19:47.203709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
 
17.8%
1 165
 
5.1%
동 158
 
4.9%
산 148
 
4.6%
부 137
 
4.2%
구 111
 
3.4%
광 110
 
3.4%
호 107
 
3.3%
시 106
 
3.3%
역 104
 
3.2%
Other values (174) 1521
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1866
57.5%
Decimal Number 734
 
22.6%
Space Separator 576
 
17.8%
Dash Punctuation 45
 
1.4%
Other Punctuation 10
 
0.3%
Uppercase Letter 10
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 158
 
8.5%
산 148
 
7.9%
부 137
 
7.3%
구 111
 
5.9%
광 110
 
5.9%
호 107
 
5.7%
시 106
 
5.7%
역 104
 
5.6%
지 77
 
4.1%
번 73
 
3.9%
Other values (146) 735
39.4%
Decimal Number
ValueCountFrequency (%)
1 165
22.5%
0 102
13.9%
2 95
12.9%
3 90
12.3%
4 65
 
8.9%
5 55
 
7.5%
7 48
 
6.5%
6 43
 
5.9%
9 41
 
5.6%
8 30
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
20.0%
D 2
20.0%
F 1
10.0%
A 1
10.0%
P 1
10.0%
T 1
10.0%
E 1
10.0%
C 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 3
30.0%
& 2
20.0%
/ 2
20.0%
@ 1
 
10.0%
# 1
 
10.0%
; 1
 
10.0%
Space Separator
ValueCountFrequency (%)
576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1866
57.5%
Common 1367
42.2%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 158
 
8.5%
산 148
 
7.9%
부 137
 
7.3%
구 111
 
5.9%
광 110
 
5.9%
호 107
 
5.7%
시 106
 
5.7%
역 104
 
5.6%
지 77
 
4.1%
번 73
 
3.9%
Other values (146) 735
39.4%
Common
ValueCountFrequency (%)
576
42.1%
1 165
 
12.1%
0 102
 
7.5%
2 95
 
6.9%
3 90
 
6.6%
4 65
 
4.8%
5 55
 
4.0%
7 48
 
3.5%
- 45
 
3.3%
6 43
 
3.1%
Other values (10) 83
 
6.1%
Latin
ValueCountFrequency (%)
B 2
20.0%
D 2
20.0%
F 1
10.0%
A 1
10.0%
P 1
10.0%
T 1
10.0%
E 1
10.0%
C 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1866
57.5%
ASCII 1377
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
41.8%
1 165
 
12.0%
0 102
 
7.4%
2 95
 
6.9%
3 90
 
6.5%
4 65
 
4.7%
5 55
 
4.0%
7 48
 
3.5%
- 45
 
3.3%
6 43
 
3.1%
Other values (18) 93
 
6.8%
Hangul
ValueCountFrequency (%)
동 158
 
8.5%
산 148
 
7.9%
부 137
 
7.3%
구 111
 
5.9%
광 110
 
5.9%
호 107
 
5.7%
시 106
 
5.7%
역 104
 
5.6%
지 77
 
4.1%
번 73
 
3.9%
Other values (146) 735
39.4%

도로명전체주소
Text

MISSING 

Distinct98
Distinct (%)98.0%
Missing12
Missing (%)10.7%
Memory size1.0 KiB
2024-04-22T01:19:48.278319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length34.31
Min length22

Characters and Unicode

Total characters3431
Distinct characters204
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

Unique96 ?
Unique (%)96.0%

Sample

1st row부산광역시 동구 자성로133번길 6, 103동 3407호 (범일동, 진흥 마제스타워 범일)
2nd row부산광역시 수영구 구락로 25 (수영동)
3rd row부산광역시 사상구 동주로16번길 46, 동우E&C (주례동)
4th row부산광역시 동래구 충렬대로350번길 41, 3층 (안락동)
5th row부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 37층 3710호 (재송동)
ValueCountFrequency (%)
부산광역시 100
 
16.5%
동래구 23
 
3.8%
부산진구 18
 
3.0%
연제구 15
 
2.5%
해운대구 11
 
1.8%
3층 8
 
1.3%
동구 7
 
1.2%
강서구 7
 
1.2%
4층 6
 
1.0%
연산동 6
 
1.0%
Other values (290) 406
66.9%
2024-04-22T01:19:49.587251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
507
 
14.8%
동 149
 
4.3%
1 141
 
4.1%
산 137
 
4.0%
부 124
 
3.6%
시 108
 
3.1%
광 107
 
3.1%
역 100
 
2.9%
구 100
 
2.9%
, 99
 
2.9%
Other values (194) 1859
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2013
58.7%
Decimal Number 590
 
17.2%
Space Separator 507
 
14.8%
Other Punctuation 105
 
3.1%
Close Punctuation 97
 
2.8%
Open Punctuation 97
 
2.8%
Dash Punctuation 14
 
0.4%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 149
 
7.4%
산 137
 
6.8%
부 124
 
6.2%
시 108
 
5.4%
광 107
 
5.3%
역 100
 
5.0%
구 100
 
5.0%
로 97
 
4.8%
길 56
 
2.8%
번 53
 
2.6%
Other values (166) 982
48.8%
Decimal Number
ValueCountFrequency (%)
1 141
23.9%
2 77
13.1%
3 76
12.9%
0 67
11.4%
5 52
 
8.8%
9 40
 
6.8%
4 40
 
6.8%
7 38
 
6.4%
6 33
 
5.6%
8 26
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
12.5%
F 1
12.5%
D 1
12.5%
A 1
12.5%
P 1
12.5%
T 1
12.5%
C 1
12.5%
E 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 99
94.3%
& 2
 
1.9%
/ 1
 
1.0%
@ 1
 
1.0%
# 1
 
1.0%
; 1
 
1.0%
Space Separator
ValueCountFrequency (%)
507
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2013
58.7%
Common 1410
41.1%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 149
 
7.4%
산 137
 
6.8%
부 124
 
6.2%
시 108
 
5.4%
광 107
 
5.3%
역 100
 
5.0%
구 100
 
5.0%
로 97
 
4.8%
길 56
 
2.8%
번 53
 
2.6%
Other values (166) 982
48.8%
Common
ValueCountFrequency (%)
507
36.0%
1 141
 
10.0%
, 99
 
7.0%
) 97
 
6.9%
( 97
 
6.9%
2 77
 
5.5%
3 76
 
5.4%
0 67
 
4.8%
5 52
 
3.7%
9 40
 
2.8%
Other values (10) 157
 
11.1%
Latin
ValueCountFrequency (%)
B 1
12.5%
F 1
12.5%
D 1
12.5%
A 1
12.5%
P 1
12.5%
T 1
12.5%
C 1
12.5%
E 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2013
58.7%
ASCII 1418
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
507
35.8%
1 141
 
9.9%
, 99
 
7.0%
) 97
 
6.8%
( 97
 
6.8%
2 77
 
5.4%
3 76
 
5.4%
0 67
 
4.7%
5 52
 
3.7%
9 40
 
2.8%
Other values (18) 165
 
11.6%
Hangul
ValueCountFrequency (%)
동 149
 
7.4%
산 137
 
6.8%
부 124
 
6.2%
시 108
 
5.4%
광 107
 
5.3%
역 100
 
5.0%
구 100
 
5.0%
로 97
 
4.8%
길 56
 
2.8%
번 53
 
2.6%
Other values (166) 982
48.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)85.7%
Missing28
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean248582
Minimum46080
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:49.822886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46080
5-th percentile46703
Q147545.75
median48058
Q3607834
95-th percentile614860.2
Maximum619906
Range573826
Interquartile range (IQR)560288.25

Descriptive statistics

Standard deviation271280.44
Coefficient of variation (CV)1.0913117
Kurtosis-1.6706757
Mean248582
Median Absolute Deviation (MAD)946
Skewness0.6075562
Sum20880888
Variance7.359308 × 1010
MonotonicityNot monotonic
2024-04-22T01:19:50.061606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 3
 
2.7%
601709 2
 
1.8%
46080 2
 
1.8%
47837 2
 
1.8%
47209 2
 
1.8%
607834 2
 
1.8%
48059 2
 
1.8%
47887 2
 
1.8%
48742 2
 
1.8%
47560 2
 
1.8%
Other values (62) 63
56.2%
(Missing) 28
25.0%
ValueCountFrequency (%)
46080 2
1.8%
46249 1
0.9%
46702 1
0.9%
46703 2
1.8%
46721 1
0.9%
46729 1
0.9%
46754 1
0.9%
46981 1
0.9%
47016 1
0.9%
47101 1
0.9%
ValueCountFrequency (%)
619906 1
0.9%
617838 1
0.9%
614875 1
0.9%
614869 1
0.9%
614862 1
0.9%
614850 1
0.9%
614849 1
0.9%
614827 1
0.9%
614747 1
0.9%
613810 1
0.9%

사업장명
Text

Distinct101
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-22T01:19:50.933339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.3125
Min length3

Characters and Unicode

Total characters931
Distinct characters138
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)80.4%

Sample

1st row㈜세부엔지니어링
2nd row(주)중앙기술단
3rd row동우기술(주)
4th row티에스이엔이
5th row다안 스마트 이엔지
ValueCountFrequency (%)
주)대림기술단 2
 
1.7%
주)우인엔지니어링 2
 
1.7%
동우기술(주 2
 
1.7%
주)한국엔지니어링 2
 
1.7%
세부엔지니어링 2
 
1.7%
주)한국나이스기술단 2
 
1.7%
주)효성기술단 2
 
1.7%
주)성림기술단 2
 
1.7%
이호기술단(주 2
 
1.7%
주)한국시엠알 2
 
1.7%
Other values (96) 98
83.1%
2024-04-22T01:19:51.998342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 94
 
10.1%
) 88
 
9.5%
( 88
 
9.5%
기 43
 
4.6%
이 43
 
4.6%
술 40
 
4.3%
엔 36
 
3.9%
지 36
 
3.9%
단 32
 
3.4%
니 21
 
2.3%
Other values (128) 410
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
78.9%
Close Punctuation 88
 
9.5%
Open Punctuation 88
 
9.5%
Uppercase Letter 7
 
0.8%
Space Separator 6
 
0.6%
Other Symbol 4
 
0.4%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 94
 
12.8%
기 43
 
5.9%
이 43
 
5.9%
술 40
 
5.4%
엔 36
 
4.9%
지 36
 
4.9%
단 32
 
4.4%
니 21
 
2.9%
어 21
 
2.9%
링 21
 
2.9%
Other values (116) 348
47.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
28.6%
N 1
14.3%
G 1
14.3%
T 1
14.3%
S 1
14.3%
C 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 739
79.4%
Common 185
 
19.9%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 94
 
12.7%
기 43
 
5.8%
이 43
 
5.8%
술 40
 
5.4%
엔 36
 
4.9%
지 36
 
4.9%
단 32
 
4.3%
니 21
 
2.8%
어 21
 
2.8%
링 21
 
2.8%
Other values (117) 352
47.6%
Latin
ValueCountFrequency (%)
E 2
28.6%
N 1
14.3%
G 1
14.3%
T 1
14.3%
S 1
14.3%
C 1
14.3%
Common
ValueCountFrequency (%)
) 88
47.6%
( 88
47.6%
6
 
3.2%
& 2
 
1.1%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
78.9%
ASCII 192
 
20.6%
None 4
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 94
 
12.8%
기 43
 
5.9%
이 43
 
5.9%
술 40
 
5.4%
엔 36
 
4.9%
지 36
 
4.9%
단 32
 
4.4%
니 21
 
2.9%
어 21
 
2.9%
링 21
 
2.9%
Other values (116) 348
47.3%
ASCII
ValueCountFrequency (%)
) 88
45.8%
( 88
45.8%
6
 
3.1%
E 2
 
1.0%
& 2
 
1.0%
- 1
 
0.5%
N 1
 
0.5%
G 1
 
0.5%
T 1
 
0.5%
S 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152236 × 1013
Minimum2.0051007 × 1013
Maximum2.0201222 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:52.238015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0051007 × 1013
5-th percentile2.0070626 × 1013
Q12.0130274 × 1013
median2.0161121 × 1013
Q32.0190527 × 1013
95-th percentile2.0200808 × 1013
Maximum2.0201222 × 1013
Range1.5021497 × 1011
Interquartile range (IQR)6.0253484 × 1010

Descriptive statistics

Standard deviation4.3768549 × 1010
Coefficient of variation (CV)0.0021718954
Kurtosis-0.67257578
Mean2.0152236 × 1013
Median Absolute Deviation (MAD)2.9839487 × 1010
Skewness-0.71760187
Sum2.2570504 × 1015
Variance1.9156859 × 1021
MonotonicityNot monotonic
2024-04-22T01:19:52.497489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190128122651 1
 
0.9%
20170920110624 1
 
0.9%
20130129155743 1
 
0.9%
20101102111501 1
 
0.9%
20121012155149 1
 
0.9%
20141127145610 1
 
0.9%
20071203154855 1
 
0.9%
20090209113841 1
 
0.9%
20070626095051 1
 
0.9%
20190723143336 1
 
0.9%
Other values (102) 102
91.1%
ValueCountFrequency (%)
20051007142730 1
0.9%
20060206083629 1
0.9%
20060309124121 1
0.9%
20060908160044 1
0.9%
20070521181818 1
0.9%
20070625100206 1
0.9%
20070626095051 1
0.9%
20070716152954 1
0.9%
20070830210513 1
0.9%
20071203154855 1
0.9%
ValueCountFrequency (%)
20201222110041 1
0.9%
20201221135155 1
0.9%
20201124142152 1
0.9%
20201116104203 1
0.9%
20200921100636 1
0.9%
20200812132054 1
0.9%
20200804162012 1
0.9%
20200721123042 1
0.9%
20200716111314 1
0.9%
20200622172347 1
0.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
84 
U
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 84
75.0%
U 28
 
25.0%

Length

2024-04-22T01:19:52.851713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:53.147425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 84
75.0%
u 28
 
25.0%

데이터갱신일자
Categorical

Distinct39
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2018-08-31 23:59:59.0
73 
2020-02-26 00:23:23.0
 
2
2019-03-14 02:40:00.0
 
1
2018-09-21 23:59:59.0
 
1
2019-04-06 02:20:14.0
 
1
Other values (34)
34 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique37 ?
Unique (%)33.0%

Sample

1st row2019-01-30 02:21:05.0
2nd row2019-04-06 02:20:14.0
3rd row2019-09-19 02:22:30.0
4th row2019-11-09 02:40:00.0
5th row2019-05-04 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 73
65.2%
2020-02-26 00:23:23.0 2
 
1.8%
2019-03-14 02:40:00.0 1
 
0.9%
2018-09-21 23:59:59.0 1
 
0.9%
2019-04-06 02:20:14.0 1
 
0.9%
2019-09-04 02:40:00.0 1
 
0.9%
2019-09-19 02:22:30.0 1
 
0.9%
2019-11-09 02:40:00.0 1
 
0.9%
2019-05-04 02:40:00.0 1
 
0.9%
2019-04-14 02:40:00.0 1
 
0.9%
Other values (29) 29
 
25.9%

Length

2024-04-22T01:19:53.467712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 74
33.0%
2018-08-31 73
32.6%
02:40:00.0 27
 
12.1%
00:23:23.0 3
 
1.3%
2020-02-26 2
 
0.9%
00:23:32.0 1
 
0.4%
02:21:05.0 1
 
0.4%
2020-12-24 1
 
0.4%
00:23:06.0 1
 
0.4%
2020-03-01 1
 
0.4%
Other values (40) 40
17.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)85.0%
Missing12
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean388426.14
Minimum369330.83
Maximum402151.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:53.831203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369330.83
5-th percentile379957.46
Q1387329.56
median388662.13
Q3390279
95-th percentile393905.08
Maximum402151.77
Range32820.94
Interquartile range (IQR)2949.4385

Descriptive statistics

Standard deviation4951.3825
Coefficient of variation (CV)0.012747295
Kurtosis3.9016979
Mean388426.14
Median Absolute Deviation (MAD)1515.1361
Skewness-0.79126056
Sum38842614
Variance24516188
MonotonicityNot monotonic
2024-04-22T01:19:54.272367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388188.345022103 3
 
2.7%
393519.0 3
 
2.7%
387201.360805555 3
 
2.7%
390602.68422486 2
 
1.8%
389156.480753965 2
 
1.8%
388693.786804221 2
 
1.8%
388992.767238733 2
 
1.8%
388662.131505051 2
 
1.8%
389322.05480288 2
 
1.8%
393553.326853219 2
 
1.8%
Other values (75) 77
68.8%
(Missing) 12
 
10.7%
ValueCountFrequency (%)
369330.830801834 1
0.9%
371075.638604429 1
0.9%
376145.924030976 1
0.9%
378260.668626959 1
0.9%
379733.655040958 1
0.9%
379969.233968736 1
0.9%
380299.981946704 1
0.9%
380327.550863077 1
0.9%
381526.502153827 1
0.9%
382097.942348673 2
1.8%
ValueCountFrequency (%)
402151.771230132 1
 
0.9%
402074.0 1
 
0.9%
400724.156261039 1
 
0.9%
397650.317430573 1
 
0.9%
393963.840834294 1
 
0.9%
393901.99210345 1
 
0.9%
393561.58646018 1
 
0.9%
393553.326853219 2
1.8%
393519.0 3
2.7%
393049.56785828 1
 
0.9%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)85.0%
Missing12
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean188439.22
Minimum178383.14
Maximum199400.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:54.697439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178383.14
5-th percentile181973.81
Q1186214.82
median188582.88
Q3190936.06
95-th percentile194872.08
Maximum199400.45
Range21017.306
Interquartile range (IQR)4721.2436

Descriptive statistics

Standard deviation3888.655
Coefficient of variation (CV)0.020636123
Kurtosis0.71612389
Mean188439.22
Median Absolute Deviation (MAD)2353.1809
Skewness-0.094112249
Sum18843922
Variance15121638
MonotonicityNot monotonic
2024-04-22T01:19:55.113523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184059.516935515 3
 
2.7%
188317.0 3
 
2.7%
186567.130891234 3
 
2.7%
190018.39055794 2
 
1.8%
192373.526379535 2
 
1.8%
186577.921368633 2
 
1.8%
190936.058615257 2
 
1.8%
188609.481783559 2
 
1.8%
188948.591685089 2
 
1.8%
188402.465080284 2
 
1.8%
Other values (75) 77
68.8%
(Missing) 12
 
10.7%
ValueCountFrequency (%)
178383.142315859 1
0.9%
179043.775487216 1
0.9%
179414.109491081 1
0.9%
180165.17593179 1
0.9%
180176.033804153 1
0.9%
182068.435002445 1
0.9%
182118.937988085 1
0.9%
182547.99559442 1
0.9%
183594.649190919 1
0.9%
184002.524603295 1
0.9%
ValueCountFrequency (%)
199400.44783194 1
0.9%
197990.923046496 1
0.9%
197374.269349615 1
0.9%
195569.971287865 1
0.9%
195516.0 1
0.9%
194838.190148598 1
0.9%
192995.657430744 1
0.9%
192942.541795089 1
0.9%
192426.609127181 1
0.9%
192373.526379535 2
1.8%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
설계업
112 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
설계업 112
100.0%

Length

2024-04-22T01:19:55.402586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:55.562376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계업 112
100.0%

설계감리업종류명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
전문설계업1종
62 
전문설계업2종
46 
종합설계업
 
4

Length

Max length7
Median length7
Mean length6.9285714
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전문설계업1종
2nd row전문설계업1종
3rd row전문설계업1종
4th row전문설계업1종
5th row전문설계업1종

Common Values

ValueCountFrequency (%)
전문설계업1종 62
55.4%
전문설계업2종 46
41.1%
종합설계업 4
 
3.6%

Length

2024-04-22T01:19:55.745373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:55.938447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문설계업1종 62
55.4%
전문설계업2종 46
41.1%
종합설계업 4
 
3.6%

소속국가명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
대한민국
102 
<NA>
 
9
한국
 
1

Length

Max length4
Median length4
Mean length3.9821429
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 102
91.1%
<NA> 9
 
8.0%
한국 1
 
0.9%

Length

2024-04-22T01:19:56.148211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:19:56.551865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 102
91.1%
na 9
 
8.0%
한국 1
 
0.9%

실질자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)36.6%
Missing11
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean92930751
Minimum0
Maximum1.005 × 109
Zeros34
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:19:56.744417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median46193583
Q31 × 108
95-th percentile5 × 108
Maximum1.005 × 109
Range1.005 × 109
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.686716 × 108
Coefficient of variation (CV)1.8150246
Kurtosis11.526054
Mean92930751
Median Absolute Deviation (MAD)46193583
Skewness3.217624
Sum9.3860058 × 109
Variance2.8450108 × 1016
MonotonicityNot monotonic
2024-04-22T01:19:56.980435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 34
30.4%
100000000 11
 
9.8%
50000000 8
 
7.1%
30000000 7
 
6.2%
10000000 4
 
3.6%
300000000 2
 
1.8%
120000000 2
 
1.8%
150000000 2
 
1.8%
200000000 2
 
1.8%
500000000 2
 
1.8%
Other values (27) 27
24.1%
(Missing) 11
 
9.8%
ValueCountFrequency (%)
0 34
30.4%
10000000 4
 
3.6%
10082000 1
 
0.9%
11165000 1
 
0.9%
22466000 1
 
0.9%
30000000 7
 
6.2%
30437852 1
 
0.9%
38766000 1
 
0.9%
46193583 1
 
0.9%
50000000 8
 
7.1%
ValueCountFrequency (%)
1005000000 1
0.9%
720383471 1
0.9%
704000000 1
0.9%
525000000 1
0.9%
510000000 1
0.9%
500000000 2
1.8%
300000000 2
1.8%
263000000 1
0.9%
200000000 2
1.8%
151604062 1
0.9%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing112
Missing (%)100.0%
Memory size1.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명설계감리업종류명소속국가명실질자본금Unnamed: 32
01전력기술설계업체09_28_13_P626000020196260000850000120190128<NA>1영업/정상1인허가<NA><NA><NA><NA>517119560<NA>48742부산광역시 동구 범일동 830-296 진흥마제스타워범일 103동 3407호부산광역시 동구 자성로133번길 6, 103동 3407호 (범일동, 진흥 마제스타워 범일)48742㈜세부엔지니어링20190128122651I2019-01-30 02:21:05.0<NA>388171.887744184002.524603설계업전문설계업1종대한민국0<NA>
12전력기술설계업체09_28_13_P626000020196260000850000220190404<NA>1영업/정상1인허가<NA><NA><NA><NA>517595442<NA>48226부산광역시 수영구 수영동 500-6부산광역시 수영구 구락로 25 (수영동)48226(주)중앙기술단20190404130855I2019-04-06 02:20:14.0<NA>393049.567858187762.857574설계업전문설계업1종대한민국300000000<NA>
23전력기술설계업체09_28_13_P626000020196260000850000420190917<NA>1영업/정상1인허가<NA><NA><NA><NA>513265760<NA>47016부산광역시 사상구 주례동 637번지 동우E&C부산광역시 사상구 동주로16번길 46, 동우E&C (주례동)47016동우기술(주)20190917165919I2019-09-19 02:22:30.0<NA>382097.942349184972.05982설계업전문설계업1종대한민국500000000<NA>
34전력기술설계업체09_28_13_P626000020186260000850000220180226<NA>1영업/정상1인허가<NA><NA><NA><NA>518989494<NA>47892부산광역시 동래구 안락동 756-13부산광역시 동래구 충렬대로350번길 41, 3층 (안락동)47892티에스이엔이20191107165324U2019-11-09 02:40:00.0<NA>384426.927922185758.105995설계업전문설계업1종대한민국30000000<NA>
45전력기술설계업체09_28_13_P626000020186260000850000320180403<NA>1영업/정상1인허가<NA><NA><NA><NA>517833710<NA>48058부산광역시 해운대구 재송동 1208-2 센텀스카이비즈 3710호부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 37층 3710호 (재송동)48058다안 스마트 이엔지20190502110935U2019-05-04 02:40:00.0<NA>393519.0188317.0설계업전문설계업1종대한민국30000000<NA>
56전력기술설계업체09_28_13_P626000020186260000850000520180615<NA>1영업/정상1인허가<NA><NA><NA><NA>518521355<NA>47560부산광역시 연제구 연산동 302-3 노블레스스퀘어 318호부산광역시 연제구 신금로 25, 노블레스스퀘어 318호 (연산동)47560(주)대림T&S20180615093255I2018-08-31 23:59:59.0<NA>390688.337529190053.714543설계업전문설계업2종대한민국125000000<NA>
67전력기술설계업체09_28_13_P626000020186260000850000720180803<NA>1영업/정상1인허가<NA><NA><NA><NA>518182393<NA>47101부산광역시 부산진구 초읍동 360-1 성지곡삼환아파트 상가동 101호부산광역시 부산진구 성지곡로51번길 18, 상가동 1층 101호 (초읍동, 성지곡삼환아파트)47101대한이씨엠(주)20190412093736U2019-04-14 02:40:00.0<NA>387201.360806186567.130891설계업전문설계업2종대한민국100000000<NA>
78전력기술설계업체09_28_13_P626000020186260000850000820180807<NA>1영업/정상1인허가<NA><NA><NA><NA>517147358<NA>46703부산광역시 강서구 대저1동 2683-3부산광역시 강서구 공항로 1191 (대저1동)46703(주)유지에스20201124142152U2020-11-26 02:40:00.0<NA>380299.981947191939.581023설계업전문설계업1종대한민국80000000<NA>
89전력기술설계업체09_28_13_P626000020026260000850000120020328<NA>1영업/정상1인허가<NA><NA><NA><NA>515070119<NA>614873부산광역시 부산진구 초읍동 359번지 13호부산광역시 부산진구 성지곡로51번길 27 (초읍동)<NA>(주)정엔지니어링20080220140732I2018-08-31 23:59:59.0<NA>386429.088223189527.208127설계업전문설계업1종대한민국<NA><NA>
910전력기술설계업체09_28_13_P626000020026260000850000220020502<NA>1영업/정상1인허가<NA><NA><NA><NA>515577270<NA>47857부산광역시 동래구 사직동 53-18 사직동보현타워 501호부산광역시 동래구 석사로 35, 사직동보현타워 501호 (사직동)47857이호전설주식회사20190214141247U2019-02-16 02:40:00.0<NA>389506.401924191874.126763설계업전문설계업1종대한민국200000000<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명설계감리업종류명소속국가명실질자본금Unnamed: 32
102103전력기술설계업체09_28_13_P626000019986260000850000219980207<NA>3폐업3폐업20170228<NA><NA><NA>515193700<NA>612020부산광역시 해운대구 우동 1470번지 에이스하이테크21 1101,1110호부산광역시 해운대구 센텀중앙로 48 (우동,에이스하이테크21 1101,1110호)<NA>세일기술(주)20170228165210I2018-08-31 23:59:59.0<NA>393963.840834188061.355163설계업전문설계업2종대한민국<NA><NA>
103104전력기술설계업체09_28_13_P626000019996260000850000319990205<NA>3폐업3폐업20050930<NA><NA><NA>515829700<NA>609391부산 금정구 장전1동 117-7(유한양행3층)<NA><NA>제일엔지니어링20051007142730I2018-08-31 23:59:59.0<NA><NA><NA>설계업전문설계업1종대한민국<NA><NA>
104105전력기술설계업체09_28_13_P626000020066260000850000320060302<NA>3폐업3폐업20070716<NA><NA><NA>515560434<NA>607834부산광역시 동래구 온천1동 435-1번지<NA><NA>(주)우진기술단20070716152954I2018-08-31 23:59:59.0<NA><NA><NA>설계업전문설계업2종대한민국100000000<NA>
105106전력기술설계업체09_28_13_P626000020066260000850000420060307<NA>3폐업3폐업20190610<NA><NA><NA>514653593<NA>611836부산광역시 연제구 연산동 2132번지 13호부산광역시 연제구 배산북로 7 (연산동)611836(주)주원이엔지20190611094457U2019-06-13 02:40:00.0<NA>390597.911341188212.229813설계업전문설계업2종대한민국0<NA>
106107전력기술설계업체09_28_13_P626000019996260000850000119990809<NA>3폐업3폐업20140702<NA><NA><NA>24508455<NA>606812부산광역시 영도구 봉래동5가 3번지부산광역시 영도구 태종로 233 (봉래동5가)606812(주)한진중공업20140702135223I2018-08-31 23:59:59.0<NA>386888.357789179414.109491설계업종합설계업대한민국0<NA>
107108전력기술설계업체09_28_13_P626000019986260000850000119980804<NA>3폐업3폐업20060908<NA><NA><NA>512483033<NA>607823부산광역시 동래구 수안동 40-2번지 난B/D 지하층 및 4층<NA><NA>(주)한국나이스기술단20060908160044I2018-08-31 23:59:59.0<NA><NA><NA>설계업전문설계업1종대한민국0<NA>
108109전력기술설계업체09_28_13_P626000020176260000850000520170803<NA>3폐업3폐업20180614<NA><NA><NA>515068896<NA><NA>부산광역시 동래구 온천동 1422번지 25호 금정빌딩 301호부산광역시 동래구 미남로 137, 301호 (온천동,금정빌딩)47837(주)대건에너지20180614111822I2018-08-31 23:59:59.0<NA>388376.375127191632.179967설계업전문설계업2종대한민국50000000<NA>
109110전력기술설계업체09_28_13_P626000020156260000850000620151117<NA>3폐업3폐업20190123<NA><NA><NA>7075084300<NA><NA>부산광역시 동구 범일동 830번지 295호 삼환우피스텔 1207호부산광역시 동구 자성로141번길 11, 1207호 (범일동,삼환우피스텔)48742세부엔지니어링20190123103817U2019-01-25 02:40:00.0<NA>388188.345022184059.516936설계업전문설계업2종대한민국104402000<NA>
110111전력기술설계업체09_28_13_P626000020186260000850000920181212<NA>3폐업3폐업20200211<NA><NA><NA>7043277258<NA>46080부산광역시 기장군 기장읍 청강리 122-6부산광역시 기장군 기장읍 청강로91번길 31, 3층46080다온기술(주)20200217172722U2020-02-19 02:40:00.0<NA>390276.059114197990.923046설계업전문설계업2종대한민국200000000<NA>
111112전력기술설계업체09_28_13_P626000020036260000850000220030526<NA>4취소/말소/만료/정지/중지6합병말소<NA><NA><NA><NA>513024613<NA>617825부산 사상구 삼락동 342-19 부산인쇄타운519호<NA><NA>(주)대흥이엔씨20130322124551I2018-08-31 23:59:59.0<NA><NA><NA>설계업전문설계업1종대한민국<NA><NA>