Overview

Dataset statistics

Number of variables33
Number of observations135
Missing cells1026
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.7 KiB
Average record size in memory285.9 B

Variable types

Numeric11
Categorical13
Unsupported6
Text3

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123143

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (93.7%)Imbalance
데이터갱신일자 is highly imbalanced (50.2%)Imbalance
소속국가명 is highly imbalanced (73.8%)Imbalance
인허가취소일자 has 135 (100.0%) missing valuesMissing
폐업일자 has 95 (70.4%) missing valuesMissing
휴업종료일자 has 135 (100.0%) missing valuesMissing
재개업일자 has 135 (100.0%) missing valuesMissing
소재지면적 has 135 (100.0%) missing valuesMissing
소재지우편번호 has 28 (20.7%) missing valuesMissing
도로명전체주소 has 15 (11.1%) missing valuesMissing
도로명우편번호 has 33 (24.4%) missing valuesMissing
업태구분명 has 135 (100.0%) missing valuesMissing
좌표정보(x) has 15 (11.1%) missing valuesMissing
좌표정보(y) has 15 (11.1%) missing valuesMissing
실질자본금 has 13 (9.6%) missing valuesMissing
Unnamed: 32 has 135 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 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 41 (30.4%) zerosZeros

Reproduction

Analysis started2024-04-21 02:22:50.302865
Analysis finished2024-04-21 02:22:51.080397
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68
Minimum1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:22:51.210644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.7
Q134.5
median68
Q3101.5
95-th percentile128.3
Maximum135
Range134
Interquartile range (IQR)67

Descriptive statistics

Standard deviation39.115214
Coefficient of variation (CV)0.57522374
Kurtosis-1.2
Mean68
Median Absolute Deviation (MAD)34
Skewness0
Sum9180
Variance1530
MonotonicityStrictly increasing
2024-04-21T11:22:51.486624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
94 1
 
0.7%
88 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
95 1
 
0.7%
2 1
 
0.7%
Other values (125) 125
92.6%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전력기술감리업체
135 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전력기술감리업체 135
100.0%

Length

2024-04-21T11:22:51.740560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:51.908704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전력기술감리업체 135
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
09_28_12_P
135 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_12_P
2nd row09_28_12_P
3rd row09_28_12_P
4th row09_28_12_P
5th row09_28_12_P

Common Values

ValueCountFrequency (%)
09_28_12_P 135
100.0%

Length

2024-04-21T11:22:52.080519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:52.251627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_12_p 135
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
6260000
135 

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 135
100.0%

Length

2024-04-21T11:22:52.424733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:52.588303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 135
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0095001 × 1017
Minimum1.997626 × 1017
Maximum2.020626 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:22:52.780070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.997626 × 1017
5-th percentile1.997626 × 1017
Q12.004626 × 1017
median2.008626 × 1017
Q32.016626 × 1017
95-th percentile2.019626 × 1017
Maximum2.020626 × 1017
Range2.3 × 1015
Interquartile range (IQR)1.2 × 1015

Descriptive statistics

Standard deviation7.2959093 × 1014
Coefficient of variation (CV)0.0036307087
Kurtosis-1.2117206
Mean2.0095001 × 1017
Median Absolute Deviation (MAD)6 × 1014
Skewness-0.13197058
Sum8.6815069 × 1018
Variance5.3230293 × 1029
MonotonicityNot monotonic
2024-04-21T11:22:53.034223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201962600008600003 1
 
0.7%
200062600008600001 1
 
0.7%
199862600008600005 1
 
0.7%
200262600008600004 1
 
0.7%
200462600008600004 1
 
0.7%
200462600008600005 1
 
0.7%
200462600008600006 1
 
0.7%
200462600008600007 1
 
0.7%
200562600008600006 1
 
0.7%
201962600008600001 1
 
0.7%
Other values (125) 125
92.6%
ValueCountFrequency (%)
199762600008600001 1
0.7%
199762600008600002 1
0.7%
199762600008600003 1
0.7%
199762600008600004 1
0.7%
199762600008600005 1
0.7%
199762600008600006 1
0.7%
199762600008600007 1
0.7%
199762600008600008 1
0.7%
199762600008600009 1
0.7%
199762600008600010 1
0.7%
ValueCountFrequency (%)
202062600008600006 1
0.7%
202062600008600005 1
0.7%
202062600008600004 1
0.7%
202062600008600003 1
0.7%
202062600008600002 1
0.7%
202062600008600001 1
0.7%
201962600008600005 1
0.7%
201962600008600004 1
0.7%
201962600008600003 1
0.7%
201962600008600002 1
0.7%

인허가일자
Real number (ℝ)

Distinct132
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19955434
Minimum2000222
Maximum20201222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:22:53.287237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000222
5-th percentile19970512
Q120040310
median20080407
Q320160316
95-th percentile20190906
Maximum20201222
Range18201000
Interquartile range (IQR)120006.5

Descriptive statistics

Standard deviation1558590.7
Coefficient of variation (CV)0.078103572
Kurtosis134.39176
Mean19955434
Median Absolute Deviation (MAD)60510
Skewness-11.579971
Sum2.6939836 × 109
Variance2.4292049 × 1012
MonotonicityNot monotonic
2024-04-21T11:22:53.555850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040907 2
 
1.5%
20130809 2
 
1.5%
19970314 2
 
1.5%
20190613 1
 
0.7%
20050315 1
 
0.7%
20020926 1
 
0.7%
20040722 1
 
0.7%
20041215 1
 
0.7%
2000222 1
 
0.7%
20020704 1
 
0.7%
Other values (122) 122
90.4%
ValueCountFrequency (%)
2000222 1
0.7%
19970314 2
1.5%
19970402 1
0.7%
19970416 1
0.7%
19970429 1
0.7%
19970506 1
0.7%
19970515 1
0.7%
19970605 1
0.7%
19970702 1
0.7%
19970705 1
0.7%
ValueCountFrequency (%)
20201222 1
0.7%
20201221 1
0.7%
20201207 1
0.7%
20200812 1
0.7%
20200224 1
0.7%
20200210 1
0.7%
20190917 1
0.7%
20190902 1
0.7%
20190613 1
0.7%
20190415 1
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
82 
3
49 
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 82
60.7%
3 49
36.3%
4 3
 
2.2%
2 1
 
0.7%

Length

2024-04-21T11:22:53.809003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:54.081687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
60.7%
3 49
36.3%
4 3
 
2.2%
2 1
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
82 
폐업
49 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length4.0888889
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 82
60.7%
폐업 49
36.3%
취소/말소/만료/정지/중지 3
 
2.2%
휴업 1
 
0.7%

Length

2024-04-21T11:22:54.470386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:54.813449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 82
60.7%
폐업 49
36.3%
취소/말소/만료/정지/중지 3
 
2.2%
휴업 1
 
0.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
82 
3
49 
6
 
2
2
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 82
60.7%
3 49
36.3%
6 2
 
1.5%
2 1
 
0.7%
7 1
 
0.7%

Length

2024-04-21T11:22:55.188072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:55.530998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
60.7%
3 49
36.3%
6 2
 
1.5%
2 1
 
0.7%
7 1
 
0.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
인허가
82 
폐업
49 
합병말소
 
2
휴업
 
1
업종변경등록말소
 
1

Length

Max length8
Median length3
Mean length2.6814815
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 82
60.7%
폐업 49
36.3%
합병말소 2
 
1.5%
휴업 1
 
0.7%
업종변경등록말소 1
 
0.7%

Length

2024-04-21T11:22:55.922826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:56.261722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 82
60.7%
폐업 49
36.3%
합병말소 2
 
1.5%
휴업 1
 
0.7%
업종변경등록말소 1
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)92.5%
Missing95
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean20127905
Minimum20060112
Maximum20191118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:22:56.621437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060112
5-th percentile20060878
Q120070802
median20131002
Q320170396
95-th percentile20190736
Maximum20191118
Range131006
Interquartile range (IQR)99594.75

Descriptive statistics

Standard deviation48082.478
Coefficient of variation (CV)0.0023888466
Kurtosis-1.5903901
Mean20127905
Median Absolute Deviation (MAD)40793.5
Skewness-0.15134453
Sum8.0511621 × 108
Variance2.3119247 × 109
MonotonicityNot monotonic
2024-04-21T11:22:57.058491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20170228 2
 
1.5%
20090209 2
 
1.5%
20061122 2
 
1.5%
20150105 1
 
0.7%
20191001 1
 
0.7%
20161221 1
 
0.7%
20130904 1
 
0.7%
20180412 1
 
0.7%
20161031 1
 
0.7%
20160401 1
 
0.7%
Other values (27) 27
 
20.0%
(Missing) 95
70.4%
ValueCountFrequency (%)
20060112 1
0.7%
20060208 1
0.7%
20060913 1
0.7%
20061122 2
1.5%
20070522 1
0.7%
20070622 1
0.7%
20070626 1
0.7%
20070630 1
0.7%
20070716 1
0.7%
20070830 1
0.7%
ValueCountFrequency (%)
20191118 1
0.7%
20191001 1
0.7%
20190722 1
0.7%
20190416 1
0.7%
20190214 1
0.7%
20180727 1
0.7%
20180614 1
0.7%
20180412 1
0.7%
20171205 1
0.7%
20170619 1
0.7%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
134 
20141205
 
1

Length

Max length8
Median length4
Mean length4.0296296
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 134
99.3%
20141205 1
 
0.7%

Length

2024-04-21T11:22:57.517871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:22:57.866674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 134
99.3%
20141205 1
 
0.7%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Real number (ℝ)

Distinct112
Distinct (%)83.6%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean9.0008966 × 108
Minimum24508455
Maximum7.0885373 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:22:58.211191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24508455
5-th percentile5.1252367 × 108
Q15.1506621 × 108
median5.163674 × 108
Q35.1815241 × 108
95-th percentile7.0447093 × 109
Maximum7.0885373 × 109
Range7.0640289 × 109
Interquartile range (IQR)3086206.2

Descriptive statistics

Standard deviation1.5594389 × 109
Coefficient of variation (CV)1.7325373
Kurtosis12.279823
Mean9.0008966 × 108
Median Absolute Deviation (MAD)1695433.5
Skewness3.7515152
Sum1.2061201 × 1011
Variance2.4318496 × 1018
MonotonicityNot monotonic
2024-04-21T11:22:58.879467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
518521355 4
 
3.0%
515574266 3
 
2.2%
512548141 2
 
1.5%
515070119 2
 
1.5%
516370316 2
 
1.5%
518073306 2
 
1.5%
515577270 2
 
1.5%
517147358 2
 
1.5%
515066051 2
 
1.5%
518679548 2
 
1.5%
Other values (102) 111
82.2%
ValueCountFrequency (%)
24508455 1
0.7%
226943292 1
0.7%
319037456 1
0.7%
512053808 2
1.5%
512442112 1
0.7%
512483033 1
0.7%
512545545 1
0.7%
512548141 2
1.5%
512934192 1
0.7%
513024613 1
0.7%
ValueCountFrequency (%)
7088537323 1
0.7%
7086771130 1
0.7%
7082857806 1
0.7%
7050966147 1
0.7%
7050916143 1
0.7%
7047966996 1
0.7%
7047368835 1
0.7%
7043277258 1
0.7%
542835866 2
1.5%
519738604 1
0.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)83.2%
Missing28
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean414685.32
Minimum37530
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:22:59.288045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37530
5-th percentile46708.4
Q148058
median607822
Q3611837.5
95-th percentile614874.4
Maximum619906
Range582376
Interquartile range (IQR)563779.5

Descriptive statistics

Standard deviation267232.54
Coefficient of variation (CV)0.64442248
Kurtosis-1.5933255
Mean414685.32
Median Absolute Deviation (MAD)7027
Skewness-0.64891681
Sum44371329
Variance7.141323 × 1010
MonotonicityNot monotonic
2024-04-21T11:22:59.698963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607834 4
 
3.0%
614849 3
 
2.2%
600803 3
 
2.2%
48058 3
 
2.2%
47877 2
 
1.5%
46703 2
 
1.5%
607822 2
 
1.5%
607823 2
 
1.5%
611836 2
 
1.5%
611811 2
 
1.5%
Other values (79) 82
60.7%
(Missing) 28
 
20.7%
ValueCountFrequency (%)
37530 2
1.5%
46080 1
0.7%
46249 1
0.7%
46703 2
1.5%
46721 1
0.7%
46981 1
0.7%
47016 1
0.7%
47101 1
0.7%
47231 1
0.7%
47232 1
0.7%
ValueCountFrequency (%)
619906 1
0.7%
618800 1
0.7%
617838 1
0.7%
617825 1
0.7%
616805 1
0.7%
614875 1
0.7%
614873 1
0.7%
614869 1
0.7%
614865 1
0.7%
614862 1
0.7%

소재지전체주소
Text

Distinct128
Distinct (%)95.5%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-04-21T11:23:00.906258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length29.029851
Min length15

Characters and Unicode

Total characters3890
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)91.8%

Sample

1st row부산광역시 사하구 신평동 7번지 신평삼익아파트 상가9동 301호
2nd row부산광역시 수영구 수영동 500-6
3rd row부산광역시 사상구 주례동 637번지 동우E&C
4th row부산광역시 수영구 남천동 27-6 한진빌딩
5th row부산광역시 부산진구 전포동 191-325
ValueCountFrequency (%)
부산광역시 119
 
15.5%
동래구 33
 
4.3%
부산진구 26
 
3.4%
연제구 18
 
2.3%
1호 12
 
1.6%
해운대구 12
 
1.6%
부산 11
 
1.4%
수안동 9
 
1.2%
연산동 9
 
1.2%
상가동 6
 
0.8%
Other values (352) 514
66.8%
2024-04-21T11:23:02.291348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
698
 
17.9%
1 202
 
5.2%
동 189
 
4.9%
산 178
 
4.6%
부 169
 
4.3%
구 134
 
3.4%
호 132
 
3.4%
광 125
 
3.2%
시 125
 
3.2%
역 119
 
3.1%
Other values (190) 1819
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2275
58.5%
Decimal Number 851
 
21.9%
Space Separator 698
 
17.9%
Dash Punctuation 48
 
1.2%
Other Punctuation 8
 
0.2%
Uppercase Letter 7
 
0.2%
Lowercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 189
 
8.3%
산 178
 
7.8%
부 169
 
7.4%
구 134
 
5.9%
호 132
 
5.8%
광 125
 
5.5%
시 125
 
5.5%
역 119
 
5.2%
지 97
 
4.3%
번 92
 
4.0%
Other values (165) 915
40.2%
Decimal Number
ValueCountFrequency (%)
1 202
23.7%
0 110
12.9%
2 109
12.8%
3 98
11.5%
4 73
 
8.6%
6 61
 
7.2%
5 57
 
6.7%
7 55
 
6.5%
9 51
 
6.0%
8 35
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 3
37.5%
& 2
25.0%
@ 1
 
12.5%
# 1
 
12.5%
; 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
C 1
 
14.3%
E 1
 
14.3%
P 1
 
14.3%
T 1
 
14.3%
Space Separator
ValueCountFrequency (%)
698
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2275
58.5%
Common 1607
41.3%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 189
 
8.3%
산 178
 
7.8%
부 169
 
7.4%
구 134
 
5.9%
호 132
 
5.8%
광 125
 
5.5%
시 125
 
5.5%
역 119
 
5.2%
지 97
 
4.3%
번 92
 
4.0%
Other values (165) 915
40.2%
Common
ValueCountFrequency (%)
698
43.4%
1 202
 
12.6%
0 110
 
6.8%
2 109
 
6.8%
3 98
 
6.1%
4 73
 
4.5%
6 61
 
3.8%
5 57
 
3.5%
7 55
 
3.4%
9 51
 
3.2%
Other values (9) 93
 
5.8%
Latin
ValueCountFrequency (%)
A 3
37.5%
C 1
 
12.5%
E 1
 
12.5%
e 1
 
12.5%
P 1
 
12.5%
T 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2275
58.5%
ASCII 1615
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
698
43.2%
1 202
 
12.5%
0 110
 
6.8%
2 109
 
6.7%
3 98
 
6.1%
4 73
 
4.5%
6 61
 
3.8%
5 57
 
3.5%
7 55
 
3.4%
9 51
 
3.2%
Other values (15) 101
 
6.3%
Hangul
ValueCountFrequency (%)
동 189
 
8.3%
산 178
 
7.8%
부 169
 
7.4%
구 134
 
5.9%
호 132
 
5.8%
광 125
 
5.5%
시 125
 
5.5%
역 119
 
5.2%
지 97
 
4.3%
번 92
 
4.0%
Other values (165) 915
40.2%

도로명전체주소
Text

MISSING 

Distinct115
Distinct (%)95.8%
Missing15
Missing (%)11.1%
Memory size1.2 KiB
2024-04-21T11:23:03.218185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41.5
Mean length34.408333
Min length21

Characters and Unicode

Total characters4129
Distinct characters219
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)92.5%

Sample

1st row부산광역시 사하구 장평로 311, 상가9동 301호 (신평동, 신평삼익아파트)
2nd row부산광역시 수영구 구락로 25, 2층 (수영동)
3rd row부산광역시 사상구 동주로16번길 46, 동우E&C (주례동)
4th row부산광역시 수영구 광남로 33, 한진빌딩 10층 (남천동)
5th row부산광역시 부산진구 진남로356번길 99, 1층 (전포동)
ValueCountFrequency (%)
부산광역시 118
 
16.1%
동래구 28
 
3.8%
부산진구 25
 
3.4%
연제구 16
 
2.2%
해운대구 12
 
1.6%
3층 9
 
1.2%
연산동 7
 
1.0%
4층 7
 
1.0%
온천동 6
 
0.8%
강서구 6
 
0.8%
Other values (340) 497
68.0%
2024-04-21T11:23:04.390595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
 
14.8%
동 186
 
4.5%
산 166
 
4.0%
부 154
 
3.7%
1 152
 
3.7%
시 128
 
3.1%
, 127
 
3.1%
광 125
 
3.0%
구 120
 
2.9%
역 118
 
2.9%
Other values (209) 2241
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2440
59.1%
Decimal Number 683
 
16.5%
Space Separator 612
 
14.8%
Other Punctuation 132
 
3.2%
Close Punctuation 117
 
2.8%
Open Punctuation 117
 
2.8%
Dash Punctuation 20
 
0.5%
Uppercase Letter 7
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 186
 
7.6%
산 166
 
6.8%
부 154
 
6.3%
시 128
 
5.2%
광 125
 
5.1%
구 120
 
4.9%
역 118
 
4.8%
로 115
 
4.7%
길 65
 
2.7%
대 63
 
2.6%
Other values (184) 1200
49.2%
Decimal Number
ValueCountFrequency (%)
1 152
22.3%
2 96
14.1%
3 86
12.6%
0 77
11.3%
5 64
9.4%
4 51
 
7.5%
9 45
 
6.6%
7 43
 
6.3%
6 36
 
5.3%
8 33
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 127
96.2%
& 2
 
1.5%
; 1
 
0.8%
# 1
 
0.8%
@ 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
C 1
 
14.3%
E 1
 
14.3%
T 1
 
14.3%
P 1
 
14.3%
Space Separator
ValueCountFrequency (%)
612
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2440
59.1%
Common 1681
40.7%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 186
 
7.6%
산 166
 
6.8%
부 154
 
6.3%
시 128
 
5.2%
광 125
 
5.1%
구 120
 
4.9%
역 118
 
4.8%
로 115
 
4.7%
길 65
 
2.7%
대 63
 
2.6%
Other values (184) 1200
49.2%
Common
ValueCountFrequency (%)
612
36.4%
1 152
 
9.0%
, 127
 
7.6%
) 117
 
7.0%
( 117
 
7.0%
2 96
 
5.7%
3 86
 
5.1%
0 77
 
4.6%
5 64
 
3.8%
4 51
 
3.0%
Other values (9) 182
 
10.8%
Latin
ValueCountFrequency (%)
A 3
37.5%
e 1
 
12.5%
C 1
 
12.5%
E 1
 
12.5%
T 1
 
12.5%
P 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2440
59.1%
ASCII 1689
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
612
36.2%
1 152
 
9.0%
, 127
 
7.5%
) 117
 
6.9%
( 117
 
6.9%
2 96
 
5.7%
3 86
 
5.1%
0 77
 
4.6%
5 64
 
3.8%
4 51
 
3.0%
Other values (15) 190
 
11.2%
Hangul
ValueCountFrequency (%)
동 186
 
7.6%
산 166
 
6.8%
부 154
 
6.3%
시 128
 
5.2%
광 125
 
5.1%
구 120
 
4.9%
역 118
 
4.8%
로 115
 
4.7%
길 65
 
2.7%
대 63
 
2.6%
Other values (184) 1200
49.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)83.3%
Missing33
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean273599.67
Minimum46004
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:23:04.627884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46703.9
Q147550.25
median48072
Q3607834
95-th percentile614858.55
Maximum619906
Range573902
Interquartile range (IQR)560283.75

Descriptive statistics

Standard deviation277036.67
Coefficient of variation (CV)1.0125622
Kurtosis-1.8713275
Mean273599.67
Median Absolute Deviation (MAD)1073.5
Skewness0.40635648
Sum27907166
Variance7.6749316 × 1010
MonotonicityNot monotonic
2024-04-21T11:23:04.880260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600803 3
 
2.2%
48058 3
 
2.2%
607834 3
 
2.2%
601827 2
 
1.5%
47877 2
 
1.5%
47837 2
 
1.5%
47560 2
 
1.5%
46703 2
 
1.5%
611811 2
 
1.5%
47541 2
 
1.5%
Other values (75) 79
58.5%
(Missing) 33
24.4%
ValueCountFrequency (%)
46004 1
0.7%
46080 1
0.7%
46249 1
0.7%
46702 1
0.7%
46703 2
1.5%
46721 1
0.7%
46729 1
0.7%
46981 1
0.7%
47016 1
0.7%
47101 1
0.7%
ValueCountFrequency (%)
619906 1
0.7%
617838 1
0.7%
614875 1
0.7%
614869 1
0.7%
614862 1
0.7%
614859 1
0.7%
614850 1
0.7%
614849 2
1.5%
614827 1
0.7%
614826 1
0.7%

사업장명
Text

Distinct123
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T11:23:05.830845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.637037
Min length3

Characters and Unicode

Total characters1166
Distinct characters156
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

Unique111 ?
Unique (%)82.2%

Sample

1st row(주)우진이엔지
2nd row(주)중앙기술단
3rd row동우기술(주)
4th row(자)한진개발공사
5th row(주)와이케이엔지니어링
ValueCountFrequency (%)
주)우진이엔지 2
 
1.4%
주)선진이엔지 2
 
1.4%
주)도시이앤씨 2
 
1.4%
주)효성기술단 2
 
1.4%
주)주원이엔지 2
 
1.4%
주)디에이치기술단 2
 
1.4%
세일기술(주 2
 
1.4%
주)한국엔지니어링 2
 
1.4%
주)대림티앤에스 2
 
1.4%
주)골드이엔지 2
 
1.4%
Other values (119) 121
85.8%
2024-04-21T11:23:06.942366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 114
 
9.8%
) 112
 
9.6%
( 112
 
9.6%
이 56
 
4.8%
기 47
 
4.0%
지 46
 
3.9%
엔 43
 
3.7%
술 40
 
3.4%
단 31
 
2.7%
스 24
 
2.1%
Other values (146) 541
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
79.1%
Close Punctuation 112
 
9.6%
Open Punctuation 112
 
9.6%
Uppercase Letter 10
 
0.9%
Space Separator 6
 
0.5%
Other Punctuation 2
 
0.2%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 114
 
12.4%
이 56
 
6.1%
기 47
 
5.1%
지 46
 
5.0%
엔 43
 
4.7%
술 40
 
4.3%
단 31
 
3.4%
스 24
 
2.6%
니 23
 
2.5%
어 23
 
2.5%
Other values (133) 475
51.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
20.0%
S 2
20.0%
T 2
20.0%
N 1
10.0%
C 1
10.0%
J 1
10.0%
G 1
10.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 923
79.2%
Common 233
 
20.0%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 114
 
12.4%
이 56
 
6.1%
기 47
 
5.1%
지 46
 
5.0%
엔 43
 
4.7%
술 40
 
4.3%
단 31
 
3.4%
스 24
 
2.6%
니 23
 
2.5%
어 23
 
2.5%
Other values (134) 476
51.6%
Latin
ValueCountFrequency (%)
E 2
20.0%
S 2
20.0%
T 2
20.0%
N 1
10.0%
C 1
10.0%
J 1
10.0%
G 1
10.0%
Common
ValueCountFrequency (%)
) 112
48.1%
( 112
48.1%
6
 
2.6%
& 2
 
0.9%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
79.1%
ASCII 243
 
20.8%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 114
 
12.4%
이 56
 
6.1%
기 47
 
5.1%
지 46
 
5.0%
엔 43
 
4.7%
술 40
 
4.3%
단 31
 
3.4%
스 24
 
2.6%
니 23
 
2.5%
어 23
 
2.5%
Other values (133) 475
51.5%
ASCII
ValueCountFrequency (%)
) 112
46.1%
( 112
46.1%
6
 
2.5%
& 2
 
0.8%
E 2
 
0.8%
S 2
 
0.8%
T 2
 
0.8%
N 1
 
0.4%
- 1
 
0.4%
C 1
 
0.4%
Other values (2) 2
 
0.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct132
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152833 × 1013
Minimum2.0060228 × 1013
Maximum2.0210122 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:23:07.178980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060228 × 1013
5-th percentile2.0070679 × 1013
Q12.0130578 × 1013
median2.0161221 × 1013
Q32.0190358 × 1013
95-th percentile2.0200982 × 1013
Maximum2.0210122 × 1013
Range1.4989401 × 1011
Interquartile range (IQR)5.977998 × 1010

Descriptive statistics

Standard deviation4.2020069 × 1010
Coefficient of variation (CV)0.0020850701
Kurtosis-0.54290489
Mean2.0152833 × 1013
Median Absolute Deviation (MAD)2.950102 × 1010
Skewness-0.76806537
Sum2.7206324 × 1015
Variance1.7656862 × 1021
MonotonicityNot monotonic
2024-04-21T11:23:07.438097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190603131251 2
 
1.5%
20080407164620 2
 
1.5%
20201207121232 2
 
1.5%
20150722143931 1
 
0.7%
20131030092751 1
 
0.7%
20061122135445 1
 
0.7%
20090825193437 1
 
0.7%
20070626095203 1
 
0.7%
20061122135331 1
 
0.7%
20070522144122 1
 
0.7%
Other values (122) 122
90.4%
ValueCountFrequency (%)
20060228085753 1
0.7%
20060913174712 1
0.7%
20061122135331 1
0.7%
20061122135445 1
0.7%
20070427151903 1
0.7%
20070522144122 1
0.7%
20070626095203 1
0.7%
20070702110828 1
0.7%
20070716153040 1
0.7%
20070830210807 1
0.7%
ValueCountFrequency (%)
20210122092407 1
0.7%
20201222110059 1
0.7%
20201221135216 1
0.7%
20201207121232 2
1.5%
20201207093339 1
0.7%
20201124142209 1
0.7%
20200921100653 1
0.7%
20200812132212 1
0.7%
20200716111257 1
0.7%
20200309122407 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
100 
U
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 100
74.1%
U 35
 
25.9%

Length

2024-04-21T11:23:07.700467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:23:07.877428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 100
74.1%
u 35
 
25.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct42
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
90 
2019-06-05 02:40:00.0
 
3
2020-12-09 00:23:07.0
 
2
2019-02-16 02:40:00.0
 
2
2021-01-24 02:40:00.0
 
1
Other values (37)
37 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique38 ?
Unique (%)28.1%

Sample

1st row2019-06-15 02:21:11.0
2nd row2019-04-06 02:20:14.0
3rd row2019-09-19 02:22:30.0
4th row2019-09-04 02:22:18.0
5th row2020-03-11 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 90
66.7%
2019-06-05 02:40:00.0 3
 
2.2%
2020-12-09 00:23:07.0 2
 
1.5%
2019-02-16 02:40:00.0 2
 
1.5%
2021-01-24 02:40:00.0 1
 
0.7%
2019-09-19 02:22:30.0 1
 
0.7%
2019-09-04 02:22:18.0 1
 
0.7%
2020-03-11 02:40:00.0 1
 
0.7%
2020-02-12 00:23:23.0 1
 
0.7%
2020-02-15 02:40:00.0 1
 
0.7%
Other values (32) 32
 
23.7%

Length

2024-04-21T11:23:08.060197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 91
33.7%
2018-08-31 90
33.3%
02:40:00.0 33
 
12.2%
2019-06-05 3
 
1.1%
2020-12-09 3
 
1.1%
00:23:07.0 2
 
0.7%
2019-02-16 2
 
0.7%
2019-09-04 2
 
0.7%
00:23:32.0 1
 
0.4%
2019-03-07 1
 
0.4%
Other values (42) 42
15.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)82.5%
Missing15
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean385005.32
Minimum179354.32
Maximum402151.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:23:08.283713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179354.32
5-th percentile379957.46
Q1387086.09
median388476.37
Q3390279
95-th percentile394079.89
Maximum402151.77
Range222797.45
Interquartile range (IQR)3192.9132

Descriptive statistics

Standard deviation26772.058
Coefficient of variation (CV)0.069536853
Kurtosis54.336906
Mean385005.32
Median Absolute Deviation (MAD)1763.6871
Skewness-7.3389491
Sum46200638
Variance7.167431 × 108
MonotonicityNot monotonic
2024-04-21T11:23:08.529029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389156.480753965 3
 
2.2%
393519.0 3
 
2.2%
387201.360805555 3
 
2.2%
390597.911341303 2
 
1.5%
390602.68422486 2
 
1.5%
390688.337529364 2
 
1.5%
387009.24128532 2
 
1.5%
385176.737186745 2
 
1.5%
393553.326853219 2
 
1.5%
384758.478990296 2
 
1.5%
Other values (89) 97
71.9%
(Missing) 15
 
11.1%
ValueCountFrequency (%)
179354.324735349 1
0.7%
186641.596981799 1
0.7%
371075.638604429 1
0.7%
376145.924030976 1
0.7%
378260.668626959 1
0.7%
379733.655040958 1
0.7%
379969.233968736 2
1.5%
380299.981946704 1
0.7%
380327.550863077 1
0.7%
381526.502153827 1
0.7%
ValueCountFrequency (%)
402151.771230132 1
 
0.7%
400724.156261039 1
 
0.7%
397841.1913726 1
 
0.7%
397650.317430573 1
 
0.7%
396962.538162221 1
 
0.7%
396284.780144811 1
 
0.7%
393963.840834294 1
 
0.7%
393553.326853219 2
1.5%
393519.0 3
2.2%
393049.56785828 1
 
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)82.5%
Missing15
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean192671.43
Minimum179043.78
Maximum461959.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:23:08.763000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179043.78
5-th percentile180175.49
Q1185991.92
median188359.73
Q3190943
95-th percentile194874.78
Maximum461959.9
Range282916.12
Interquartile range (IQR)4951.0843

Descriptive statistics

Standard deviation34482.315
Coefficient of variation (CV)0.17896953
Kurtosis55.984632
Mean192671.43
Median Absolute Deviation (MAD)2385.0604
Skewness7.4953919
Sum23120571
Variance1.18903 × 109
MonotonicityNot monotonic
2024-04-21T11:23:09.014206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192373.526379535 3
 
2.2%
188317.0 3
 
2.2%
186567.130891234 3
 
2.2%
188212.22981319 2
 
1.5%
190018.39055794 2
 
1.5%
190053.714543449 2
 
1.5%
186676.384325999 2
 
1.5%
185974.672147856 2
 
1.5%
188402.465080284 2
 
1.5%
180165.17593179 2
 
1.5%
Other values (89) 97
71.9%
(Missing) 15
 
11.1%
ValueCountFrequency (%)
179043.775487216 2
1.5%
179411.688598493 1
0.7%
179833.048001743 1
0.7%
180165.17593179 2
1.5%
180176.033804153 1
0.7%
182068.435002445 1
0.7%
182118.937988085 1
0.7%
182296.504630423 1
0.7%
182547.99559442 1
0.7%
183594.649190919 1
0.7%
ValueCountFrequency (%)
461959.898129805 1
0.7%
447077.740366909 1
0.7%
206027.79373991 1
0.7%
197990.923046496 1
0.7%
197374.269349615 1
0.7%
195569.971287865 1
0.7%
194838.190148598 1
0.7%
193163.043626289 1
0.7%
192995.657430744 1
0.7%
192942.541795089 1
0.7%

업종구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
감리업
135 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
감리업 135
100.0%

Length

2024-04-21T11:23:09.258613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:23:09.435064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
감리업 135
100.0%

설계감리업종류명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전문감리업
76 
종합감리업
59 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전문감리업
2nd row전문감리업
3rd row전문감리업
4th row전문감리업
5th row종합감리업

Common Values

ValueCountFrequency (%)
전문감리업 76
56.3%
종합감리업 59
43.7%

Length

2024-04-21T11:23:09.606591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:23:09.776276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문감리업 76
56.3%
종합감리업 59
43.7%

소속국가명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
대한민국
129 
<NA>
 
6

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 129
95.6%
<NA> 6
 
4.4%

Length

2024-04-21T11:23:09.953848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:23:10.125029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 129
95.6%
na 6
 
4.4%

실질자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)24.6%
Missing13
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean85708965
Minimum0
Maximum5.25 × 108
Zeros41
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:23:10.310511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q31 × 108
95-th percentile4.9 × 108
Maximum5.25 × 108
Range5.25 × 108
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.2166954 × 108
Coefficient of variation (CV)1.4195661
Kurtosis5.7646232
Mean85708965
Median Absolute Deviation (MAD)50000000
Skewness2.4166154
Sum1.0456494 × 1010
Variance1.4803477 × 1016
MonotonicityNot monotonic
2024-04-21T11:23:10.532899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 41
30.4%
50000000 28
20.7%
100000000 15
 
11.1%
500000000 4
 
3.0%
200000000 4
 
3.0%
150000000 3
 
2.2%
125000000 2
 
1.5%
263000000 2
 
1.5%
120000000 2
 
1.5%
503367133 1
 
0.7%
Other values (20) 20
14.8%
(Missing) 13
 
9.6%
ValueCountFrequency (%)
0 41
30.4%
5433992 1
 
0.7%
50000000 28
20.7%
50481900 1
 
0.7%
50582000 1
 
0.7%
51145437 1
 
0.7%
56000000 1
 
0.7%
59401853 1
 
0.7%
60082000 1
 
0.7%
60374000 1
 
0.7%
ValueCountFrequency (%)
525000000 1
 
0.7%
503367133 1
 
0.7%
501797000 1
 
0.7%
500000000 4
3.0%
300000000 1
 
0.7%
263000000 2
1.5%
215118983 1
 
0.7%
201730733 1
 
0.7%
200000000 4
3.0%
150000000 3
2.2%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명설계감리업종류명소속국가명실질자본금Unnamed: 32
01전력기술감리업체09_28_12_P626000020196260000860000320190613<NA>1영업/정상1인허가<NA><NA><NA><NA>512053808<NA>49418부산광역시 사하구 신평동 7번지 신평삼익아파트 상가9동 301호부산광역시 사하구 장평로 311, 상가9동 301호 (신평동, 신평삼익아파트)49418(주)우진이엔지20190613120537I2019-06-15 02:21:11.0<NA>379969.233969179043.775487감리업전문감리업대한민국50000000<NA>
12전력기술감리업체09_28_12_P626000020196260000860000120190404<NA>1영업/정상1인허가<NA><NA><NA><NA>517595442<NA>48226부산광역시 수영구 수영동 500-6부산광역시 수영구 구락로 25, 2층 (수영동)48226(주)중앙기술단20190404130942I2019-04-06 02:20:14.0<NA>393049.567858187762.857574감리업전문감리업대한민국300000000<NA>
23전력기술감리업체09_28_12_P626000020196260000860000520190917<NA>1영업/정상1인허가<NA><NA><NA><NA>513265760<NA>47016부산광역시 사상구 주례동 637번지 동우E&C부산광역시 사상구 동주로16번길 46, 동우E&C (주례동)47016동우기술(주)20190917170008I2019-09-19 02:22:30.0<NA>382097.942349184972.05982감리업전문감리업대한민국500000000<NA>
34전력기술감리업체09_28_12_P626000020196260000860000420190902<NA>1영업/정상1인허가<NA><NA><NA><NA>516280501<NA>48314부산광역시 수영구 남천동 27-6 한진빌딩부산광역시 수영구 광남로 33, 한진빌딩 10층 (남천동)48314(자)한진개발공사20190902163232I2019-09-04 02:22:18.0<NA>392294.710671185004.189176감리업전문감리업대한민국500000000<NA>
45전력기술감리업체09_28_12_P626000020206260000860000220200224<NA>1영업/정상1인허가<NA><NA><NA><NA>518689741<NA>47232부산광역시 부산진구 전포동 191-325부산광역시 부산진구 진남로356번길 99, 1층 (전포동)47232(주)와이케이엔지니어링20200309122407U2020-03-11 02:40:00.0<NA>388660.086059186493.727043감리업종합감리업대한민국91754300<NA>
56전력기술감리업체09_28_12_P626000020206260000860000120200210<NA>1영업/정상1인허가<NA><NA><NA><NA>517171205<NA>48002부산광역시 해운대구 석대동 634번지 아이티타워 502호부산광역시 해운대구 반송로525번길 25, 아이티타워 502호 (석대동)48002(주)아이엔지그룹건축사사무소20200210100920I2020-02-12 00:23:23.0<NA>392964.101655193163.043626감리업전문감리업대한민국150000000<NA>
67전력기술감리업체09_28_12_P626000020056260000860000720051221<NA>1영업/정상1인허가<NA><NA><NA><NA>513297766<NA>48058부산광역시 해운대구 재송동 1208-2 센텀스카이비즈, 에이동 1905호부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 에이동 1905호 (재송동)48058(주)나이스에너지엔지니어링20171110135104I2018-08-31 23:59:59.0<NA>393519.0188317.0감리업종합감리업대한민국150000000<NA>
78전력기술감리업체09_28_12_P626000020066260000860000120060116<NA>1영업/정상1인허가<NA><NA><NA><NA>518175417<NA>611839부산광역시 연제구 연산5동 1310번지 20호 토목회관 3층부산광역시 연제구 중앙대로1050번길 5 (연산동,토목회관 3층)<NA>(주)부흥이앤씨20110707111920I2018-08-31 23:59:59.0<NA>389322.054803188948.591685감리업종합감리업대한민국100000000<NA>
89전력기술감리업체09_28_12_P626000020066260000860000420060413<NA>1영업/정상1인허가<NA><NA><NA><NA>515034377<NA>607839부산광역시 동래구 온천3동 1350번지 4호 한사랑ATP상가401호부산광역시 동래구 아시아드대로255번가길 8-8 (온천동,한사랑ATP상가401호)<NA>(주)동지종합엔지니어링20101125110723I2018-08-31 23:59:59.0<NA>388177.413188191828.945228감리업종합감리업대한민국56000000<NA>
910전력기술감리업체09_28_12_P626000019986260000860000619980819<NA>1영업/정상1인허가<NA><NA><NA><NA>518173931<NA>614869부산광역시 부산진구 전포1동 690번지 7호부산광역시 부산진구 전포대로199번길 15, 3층 (전포동,현대타워오피스텔)614869(주)삼영기술20160624094520I2018-08-31 23:59:59.0<NA>388022.481221185844.723434감리업종합감리업대한민국0<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명설계감리업종류명소속국가명실질자본금Unnamed: 32
125126전력기술감리업체09_28_12_P626000020076260000860000920071004<NA>3폐업3폐업20190722<NA><NA><NA>515039771<NA><NA>부산광역시 동래구 온천동 1248번지 1호부산광역시 동래구 석사북로 106 (온천동)47851(주)우성종합기술20190722172304U2019-07-24 02:40:00.0<NA>388200.025875191566.913228감리업전문감리업대한민국525000000<NA>
126127전력기술감리업체09_28_12_P626000020176260000860000120170110<NA>3폐업3폐업20171205<NA><NA><NA>518953580<NA><NA>부산광역시 강서구 대저1동 742번지 1호부산광역시 강서구 대저로 199 (대저1동)46702(주)부성이엠씨20171205141357I2018-08-31 23:59:59.0<NA>379733.655041192426.609127감리업전문감리업대한민국503367133<NA>
127128전력기술감리업체09_28_12_P626000020176260000860000420170215<NA>3폐업3폐업20190214<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 373번지 12호부산광역시 해운대구 우동1로85번길 28-12 (우동)48085에스제이기술단20190214153851U2019-02-16 02:40:00.0<NA>396284.780145187628.6298감리업전문감리업대한민국0<NA>
128129전력기술감리업체09_28_12_P626000020176260000860000920170803<NA>3폐업3폐업20180614<NA><NA><NA>515068896<NA><NA>부산광역시 동래구 온천동 1422번지 25호 금정빌딩 301호부산광역시 동래구 미남로 137, 301호 (온천동,금정빌딩)47837(주)대건에너지20180614111838I2018-08-31 23:59:59.0<NA>388376.375127191632.179967감리업전문감리업대한민국50000000<NA>
129130전력기술감리업체09_28_12_P626000020186260000860000420180514<NA>3폐업3폐업<NA><NA><NA><NA>515070119<NA>48097부산광역시 해운대구 중동 1778-1 이안해운대파일론 1805호부산광역시 해운대구 달맞이길 43, 이안해운대파일론 1805호 (중동)48097부산기술단20190411135111U2019-04-13 02:40:00.0<NA>397650.317431186919.128563감리업전문감리업대한민국50000000<NA>
130131전력기술감리업체09_28_12_P626000020186260000860000620180626<NA>3폐업3폐업20180727<NA><NA><NA>517147358<NA>46703부산광역시 강서구 대저1동 2690-1부산광역시 강서구 체육공원로6번길 146 (대저1동)46703그랜드썬20180727135818I2018-08-31 23:59:59.0<NA>380327.550863191699.968604감리업전문감리업대한민국50000000<NA>
131132전력기술감리업체09_28_12_P626000020206260000860000420201207<NA>3폐업3폐업<NA><NA><NA><NA>542835866<NA>37530경상북도 포항시 북구 흥해읍 칠포리 410번지<NA><NA>미래종합엔지니어링20201207121232I2020-12-09 00:23:07.0<NA><NA><NA>감리업전문감리업대한민국50000000<NA>
132133전력기술감리업체09_28_12_P626000020036260000860000220030526<NA>4취소/말소/만료/정지/중지6합병말소<NA><NA><NA><NA>513024613<NA>617825부산 사상구 삼락동 342-19 부산인쇄타운519호<NA><NA>(주)대흥이엔씨20130322124632I2018-08-31 23:59:59.0<NA><NA><NA>감리업전문감리업대한민국<NA><NA>
133134전력기술감리업체09_28_12_P626000020076260000860001020071113<NA>4취소/말소/만료/정지/중지6합병말소<NA><NA><NA><NA>542835866<NA>37530경상북도 포항시 북구 흥해읍 칠포리 410번지<NA><NA>미래종합엔지니어링20201207093339I2020-12-09 00:23:07.0<NA><NA><NA>감리업전문감리업대한민국50000000<NA>
134135전력기술감리업체09_28_12_P626000020046260000860000320040406<NA>4취소/말소/만료/정지/중지7업종변경등록말소<NA><NA><NA><NA>518679548<NA>611800부산 연제구 거제1동 1-1 2층<NA><NA>(주)디에이치기술단20070427151903I2018-08-31 23:59:59.0<NA><NA><NA>감리업전문감리업대한민국0<NA>