Overview

Dataset statistics

Number of variables33
Number of observations136
Missing cells1032
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.0 KiB
Average record size in memory285.9 B

Variable types

Numeric11
Categorical13
Unsupported6
Text3

Dataset

Description2021-05-01
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
상세영업상태코드 is highly imbalanced (50.1%)Imbalance
상세영업상태명 is highly imbalanced (50.1%)Imbalance
휴업시작일자 is highly imbalanced (93.7%)Imbalance
소속국가명 is highly imbalanced (73.9%)Imbalance
인허가취소일자 has 136 (100.0%) missing valuesMissing
폐업일자 has 96 (70.6%) missing valuesMissing
휴업종료일자 has 136 (100.0%) missing valuesMissing
재개업일자 has 136 (100.0%) missing valuesMissing
소재지면적 has 136 (100.0%) missing valuesMissing
소재지우편번호 has 27 (19.9%) missing valuesMissing
도로명전체주소 has 15 (11.0%) missing valuesMissing
도로명우편번호 has 33 (24.3%) missing valuesMissing
업태구분명 has 136 (100.0%) missing valuesMissing
좌표정보(x) has 15 (11.0%) missing valuesMissing
좌표정보(y) has 15 (11.0%) missing valuesMissing
실질자본금 has 13 (9.6%) missing valuesMissing
Unnamed: 32 has 136 (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 (30.1%) zerosZeros

Reproduction

Analysis started2024-04-21 02:26:27.648066
Analysis finished2024-04-21 02:26:28.471888
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.5
Minimum1
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:28.673726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.75
Q134.75
median68.5
Q3102.25
95-th percentile129.25
Maximum136
Range135
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation39.403892
Coefficient of variation (CV)0.57523929
Kurtosis-1.2
Mean68.5
Median Absolute Deviation (MAD)34
Skewness0
Sum9316
Variance1552.6667
MonotonicityStrictly increasing
2024-04-21T11:26:29.134530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
70 1
 
0.7%
Other values (126) 126
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 (%)
136 1
0.7%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전력기술감리업체
136 

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 136
100.0%

Length

2024-04-21T11:26:29.561317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:29.866214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전력기술감리업체 136
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
09_28_12_P
136 

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 136
100.0%

Length

2024-04-21T11:26:30.185678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:30.494934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_12_p 136
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
6260000
136 

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 136
100.0%

Length

2024-04-21T11:26:30.813602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:31.124179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 136
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0095892 × 1017
Minimum1.997626 × 1017
Maximum2.021626 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:31.455589image/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 percentile2.019876 × 1017
Maximum2.021626 × 1017
Range2.4 × 1015
Interquartile range (IQR)1.2 × 1015

Descriptive statistics

Standard deviation7.3428303 × 1014
Coefficient of variation (CV)0.0036538961
Kurtosis-1.2089558
Mean2.0095892 × 1017
Median Absolute Deviation (MAD)6 × 1014
Skewness-0.13159959
Sum8.8836695 × 1018
Variance5.3917157 × 1029
MonotonicityNot monotonic
2024-04-21T11:26:32.109237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200462600008600003 1
 
0.7%
201362600008600004 1
 
0.7%
199962600008600003 1
 
0.7%
200862600008600006 1
 
0.7%
199862600008600002 1
 
0.7%
199762600008600008 1
 
0.7%
201362600008600006 1
 
0.7%
200262600008600005 1
 
0.7%
201362600008600002 1
 
0.7%
201762600008600006 1
 
0.7%
Other values (126) 126
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 (%)
202162600008600001 1
0.7%
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%

인허가일자
Real number (ℝ)

Distinct133
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19957308
Minimum2000222
Maximum20210302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:32.538257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000222
5-th percentile19970513
Q120040358
median20080566
Q320160422
95-th percentile20193240
Maximum20210302
Range18210080
Interquartile range (IQR)120064.5

Descriptive statistics

Standard deviation1552961.2
Coefficient of variation (CV)0.07781416
Kurtosis135.37511
Mean19957308
Median Absolute Deviation (MAD)60400
Skewness-11.622003
Sum2.7141939 × 109
Variance2.4116884 × 1012
MonotonicityNot monotonic
2024-04-21T11:26:32.913771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040907 2
 
1.5%
19970314 2
 
1.5%
20130809 2
 
1.5%
19980711 1
 
0.7%
20120202 1
 
0.7%
19971118 1
 
0.7%
20041106 1
 
0.7%
20130718 1
 
0.7%
20100526 1
 
0.7%
20020408 1
 
0.7%
Other values (123) 123
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 (%)
20210302 1
0.7%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
83 
3
49 
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 83
61.0%
3 49
36.0%
4 3
 
2.2%
2 1
 
0.7%

Length

2024-04-21T11:26:33.183885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:33.364128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
61.0%
3 49
36.0%
4 3
 
2.2%
2 1
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
83 
폐업
49 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length4.0955882
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 83
61.0%
폐업 49
36.0%
취소/말소/만료/정지/중지 3
 
2.2%
휴업 1
 
0.7%

Length

2024-04-21T11:26:33.563808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:33.748785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 83
61.0%
폐업 49
36.0%
취소/말소/만료/정지/중지 3
 
2.2%
휴업 1
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
83 
3
49 
6
 
2
7
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row7
2nd row6
3rd row6
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 83
61.0%
3 49
36.0%
6 2
 
1.5%
7 1
 
0.7%
2 1
 
0.7%

Length

2024-04-21T11:26:33.942986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:34.125566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
61.0%
3 49
36.0%
6 2
 
1.5%
7 1
 
0.7%
2 1
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
인허가
83 
폐업
49 
합병말소
 
2
업종변경등록말소
 
1
휴업
 
1

Length

Max length8
Median length3
Mean length2.6838235
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 83
61.0%
폐업 49
36.0%
합병말소 2
 
1.5%
업종변경등록말소 1
 
0.7%
휴업 1
 
0.7%

Length

2024-04-21T11:26:34.331629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:34.523364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 83
61.0%
폐업 49
36.0%
합병말소 2
 
1.5%
업종변경등록말소 1
 
0.7%
휴업 1
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)92.5%
Missing96
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean20127905
Minimum20060112
Maximum20191118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:34.732398image/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
2024-04-21T11:26:34.973720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20090209 2
 
1.5%
20061122 2
 
1.5%
20170228 2
 
1.5%
20070522 1
 
0.7%
20120628 1
 
0.7%
20060112 1
 
0.7%
20090825 1
 
0.7%
20070626 1
 
0.7%
20070622 1
 
0.7%
20100727 1
 
0.7%
Other values (27) 27
 
19.9%
(Missing) 96
70.6%
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>
135 
20141205
 
1

Length

Max length8
Median length4
Mean length4.0294118
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> 135
99.3%
20141205 1
 
0.7%

Length

2024-04-21T11:26:35.226260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:35.417418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
99.3%
20141205 1
 
0.7%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Real number (ℝ)

Distinct113
Distinct (%)83.7%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean8.9725281 × 108
Minimum24508455
Maximum7.0885373 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:35.607238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24508455
5-th percentile5.1252679 × 108
Q15.1506636 × 108
median5.1637032 × 108
Q35.181309 × 108
95-th percentile7.0445047 × 109
Maximum7.0885373 × 109
Range7.0640289 × 109
Interquartile range (IQR)3064532.5

Descriptive statistics

Standard deviation1.5539588 × 109
Coefficient of variation (CV)1.7319074
Kurtosis12.404993
Mean8.9725281 × 108
Median Absolute Deviation (MAD)1685225
Skewness3.7680746
Sum1.2112913 × 1011
Variance2.4147879 × 1018
MonotonicityNot monotonic
2024-04-21T11:26:35.866098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
518521355 4
 
2.9%
515574266 3
 
2.2%
518679548 2
 
1.5%
515193700 2
 
1.5%
542835866 2
 
1.5%
512548141 2
 
1.5%
513238151 2
 
1.5%
518073306 2
 
1.5%
518689741 2
 
1.5%
515577061 2
 
1.5%
Other values (103) 112
82.4%
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 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)83.5%
Missing27
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean407949.92
Minimum37530
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:36.119307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37530
5-th percentile46710.2
Q148045
median607817
Q3611836
95-th percentile614874.2
Maximum619906
Range582376
Interquartile range (IQR)563791

Descriptive statistics

Standard deviation269333.06
Coefficient of variation (CV)0.66021109
Kurtosis-1.6640216
Mean407949.92
Median Absolute Deviation (MAD)7032
Skewness-0.59321493
Sum44466541
Variance7.2540296 × 1010
MonotonicityNot monotonic
2024-04-21T11:26:36.354909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607834 4
 
2.9%
600803 3
 
2.2%
48058 3
 
2.2%
614849 3
 
2.2%
611836 2
 
1.5%
37530 2
 
1.5%
607839 2
 
1.5%
607823 2
 
1.5%
607822 2
 
1.5%
611811 2
 
1.5%
Other values (81) 84
61.8%
(Missing) 27
 
19.9%
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

Distinct130
Distinct (%)96.3%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-04-21T11:26:37.381087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length28.955556
Min length15

Characters and Unicode

Total characters3909
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

Unique126 ?
Unique (%)93.3%

Sample

1st row부산 연제구 거제1동 1-1 2층
2nd row경상북도 포항시 북구 흥해읍 칠포리 410번지
3rd row부산 사상구 삼락동 342-19 부산인쇄타운519호
4th row경상북도 포항시 북구 흥해읍 칠포리 410번지
5th row부산광역시 강서구 대저1동 2690-1
ValueCountFrequency (%)
부산광역시 120
 
15.5%
동래구 33
 
4.3%
부산진구 25
 
3.2%
연제구 20
 
2.6%
해운대구 12
 
1.6%
1호 11
 
1.4%
부산 11
 
1.4%
연산동 11
 
1.4%
수안동 9
 
1.2%
2호 6
 
0.8%
Other values (354) 514
66.6%
2024-04-21T11:26:38.783920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
 
17.9%
1 205
 
5.2%
동 190
 
4.9%
산 180
 
4.6%
부 169
 
4.3%
구 135
 
3.5%
호 131
 
3.4%
시 126
 
3.2%
광 126
 
3.2%
역 120
 
3.1%
Other values (190) 1827
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2282
58.4%
Decimal Number 859
 
22.0%
Space Separator 700
 
17.9%
Dash Punctuation 50
 
1.3%
Other Punctuation 8
 
0.2%
Uppercase Letter 7
 
0.2%
Lowercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 190
 
8.3%
산 180
 
7.9%
부 169
 
7.4%
구 135
 
5.9%
호 131
 
5.7%
시 126
 
5.5%
광 126
 
5.5%
역 120
 
5.3%
지 96
 
4.2%
번 91
 
4.0%
Other values (165) 918
40.2%
Decimal Number
ValueCountFrequency (%)
1 205
23.9%
0 112
13.0%
2 108
12.6%
3 100
11.6%
4 74
 
8.6%
6 61
 
7.1%
5 57
 
6.6%
7 55
 
6.4%
9 51
 
5.9%
8 36
 
4.2%
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%
E 1
 
14.3%
P 1
 
14.3%
T 1
 
14.3%
C 1
 
14.3%
Space Separator
ValueCountFrequency (%)
700
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2282
58.4%
Common 1619
41.4%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 190
 
8.3%
산 180
 
7.9%
부 169
 
7.4%
구 135
 
5.9%
호 131
 
5.7%
시 126
 
5.5%
광 126
 
5.5%
역 120
 
5.3%
지 96
 
4.2%
번 91
 
4.0%
Other values (165) 918
40.2%
Common
ValueCountFrequency (%)
700
43.2%
1 205
 
12.7%
0 112
 
6.9%
2 108
 
6.7%
3 100
 
6.2%
4 74
 
4.6%
6 61
 
3.8%
5 57
 
3.5%
7 55
 
3.4%
9 51
 
3.2%
Other values (9) 96
 
5.9%
Latin
ValueCountFrequency (%)
A 3
37.5%
E 1
 
12.5%
P 1
 
12.5%
T 1
 
12.5%
e 1
 
12.5%
C 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2282
58.4%
ASCII 1627
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
700
43.0%
1 205
 
12.6%
0 112
 
6.9%
2 108
 
6.6%
3 100
 
6.1%
4 74
 
4.5%
6 61
 
3.7%
5 57
 
3.5%
7 55
 
3.4%
9 51
 
3.1%
Other values (15) 104
 
6.4%
Hangul
ValueCountFrequency (%)
동 190
 
8.3%
산 180
 
7.9%
부 169
 
7.4%
구 135
 
5.9%
호 131
 
5.7%
시 126
 
5.5%
광 126
 
5.5%
역 120
 
5.3%
지 96
 
4.2%
번 91
 
4.0%
Other values (165) 918
40.2%

도로명전체주소
Text

MISSING 

Distinct116
Distinct (%)95.9%
Missing15
Missing (%)11.0%
Memory size1.2 KiB
2024-04-21T11:26:39.788084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length34.355372
Min length21

Characters and Unicode

Total characters4157
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

Unique112 ?
Unique (%)92.6%

Sample

1st row부산광역시 강서구 체육공원로6번길 146 (대저1동)
2nd row부산광역시 해운대구 달맞이길 43, 이안해운대파일론 1805호 (중동)
3rd row부산광역시 동래구 미남로 137, 301호 (온천동,금정빌딩)
4th row부산광역시 해운대구 우동1로85번길 28-12 (우동)
5th row부산광역시 강서구 대저로 199 (대저1동)
ValueCountFrequency (%)
부산광역시 119
 
16.1%
동래구 28
 
3.8%
부산진구 24
 
3.3%
연제구 18
 
2.4%
해운대구 12
 
1.6%
연산동 9
 
1.2%
3층 9
 
1.2%
4층 7
 
0.9%
강서구 6
 
0.8%
온천동 6
 
0.8%
Other values (343) 499
67.7%
2024-04-21T11:26:41.096525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
617
 
14.8%
동 187
 
4.5%
산 168
 
4.0%
부 154
 
3.7%
1 153
 
3.7%
시 129
 
3.1%
광 126
 
3.0%
, 126
 
3.0%
구 121
 
2.9%
역 119
 
2.9%
Other values (209) 2257
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2457
59.1%
Decimal Number 688
 
16.6%
Space Separator 617
 
14.8%
Other Punctuation 131
 
3.2%
Close Punctuation 118
 
2.8%
Open Punctuation 118
 
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 187
 
7.6%
산 168
 
6.8%
부 154
 
6.3%
시 129
 
5.3%
광 126
 
5.1%
구 121
 
4.9%
역 119
 
4.8%
로 116
 
4.7%
길 66
 
2.7%
대 64
 
2.6%
Other values (184) 1207
49.1%
Decimal Number
ValueCountFrequency (%)
1 153
22.2%
2 96
14.0%
3 86
12.5%
0 80
11.6%
5 64
9.3%
4 52
 
7.6%
9 45
 
6.5%
7 43
 
6.2%
6 36
 
5.2%
8 33
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 126
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%
P 1
 
14.3%
T 1
 
14.3%
Space Separator
ValueCountFrequency (%)
617
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2457
59.1%
Common 1692
40.7%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 187
 
7.6%
산 168
 
6.8%
부 154
 
6.3%
시 129
 
5.3%
광 126
 
5.1%
구 121
 
4.9%
역 119
 
4.8%
로 116
 
4.7%
길 66
 
2.7%
대 64
 
2.6%
Other values (184) 1207
49.1%
Common
ValueCountFrequency (%)
617
36.5%
1 153
 
9.0%
, 126
 
7.4%
) 118
 
7.0%
( 118
 
7.0%
2 96
 
5.7%
3 86
 
5.1%
0 80
 
4.7%
5 64
 
3.8%
4 52
 
3.1%
Other values (9) 182
 
10.8%
Latin
ValueCountFrequency (%)
A 3
37.5%
e 1
 
12.5%
C 1
 
12.5%
E 1
 
12.5%
P 1
 
12.5%
T 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2457
59.1%
ASCII 1700
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
617
36.3%
1 153
 
9.0%
, 126
 
7.4%
) 118
 
6.9%
( 118
 
6.9%
2 96
 
5.6%
3 86
 
5.1%
0 80
 
4.7%
5 64
 
3.8%
4 52
 
3.1%
Other values (15) 190
 
11.2%
Hangul
ValueCountFrequency (%)
동 187
 
7.6%
산 168
 
6.8%
부 154
 
6.3%
시 129
 
5.3%
광 126
 
5.1%
구 121
 
4.9%
역 119
 
4.8%
로 116
 
4.7%
길 66
 
2.7%
대 64
 
2.6%
Other values (184) 1207
49.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)83.5%
Missing33
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean271409.41
Minimum46004
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:41.340287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46704.8
Q147560
median48059
Q3607834
95-th percentile614858.1
Maximum619906
Range573902
Interquartile range (IQR)560274

Descriptive statistics

Standard deviation276570.03
Coefficient of variation (CV)1.0190142
Kurtosis-1.8567635
Mean271409.41
Median Absolute Deviation (MAD)1043
Skewness0.42313713
Sum27955169
Variance7.6490984 × 1010
MonotonicityNot monotonic
2024-04-21T11:26:41.585396image/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%
47193 2
 
1.5%
47887 2
 
1.5%
601827 2
 
1.5%
47541 2
 
1.5%
47877 2
 
1.5%
47598 2
 
1.5%
614849 2
 
1.5%
Other values (76) 80
58.8%
(Missing) 33
24.3%
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

Distinct124
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T11:26:42.329860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.625
Min length3

Characters and Unicode

Total characters1173
Distinct characters158
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

Unique112 ?
Unique (%)82.4%

Sample

1st row(주)디에이치기술단
2nd row미래종합엔지니어링
3rd row(주)대흥이엔씨
4th row미래종합엔지니어링
5th row그랜드썬
ValueCountFrequency (%)
주)디에이치기술단 2
 
1.4%
주)도시이앤씨 2
 
1.4%
주)대림티앤에스 2
 
1.4%
주)주원이엔지 2
 
1.4%
주)골드이엔지 2
 
1.4%
세일기술(주 2
 
1.4%
주)한국엔지니어링 2
 
1.4%
주)효성기술단 2
 
1.4%
주)우진이엔지 2
 
1.4%
미래종합엔지니어링 2
 
1.4%
Other values (120) 122
85.9%
2024-04-21T11:26:43.314329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 114
 
9.7%
) 113
 
9.6%
( 112
 
9.5%
이 56
 
4.8%
기 47
 
4.0%
지 46
 
3.9%
엔 43
 
3.7%
술 40
 
3.4%
단 31
 
2.6%
스 25
 
2.1%
Other values (148) 546
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 927
79.0%
Close Punctuation 113
 
9.6%
Open Punctuation 112
 
9.5%
Uppercase Letter 10
 
0.9%
Space Separator 6
 
0.5%
Other Symbol 2
 
0.2%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 114
 
12.3%
이 56
 
6.0%
기 47
 
5.1%
지 46
 
5.0%
엔 43
 
4.6%
술 40
 
4.3%
단 31
 
3.3%
스 25
 
2.7%
링 23
 
2.5%
어 23
 
2.5%
Other values (135) 479
51.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
T 2
20.0%
E 2
20.0%
C 1
10.0%
J 1
10.0%
N 1
10.0%
G 1
10.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 929
79.2%
Common 234
 
19.9%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 114
 
12.3%
이 56
 
6.0%
기 47
 
5.1%
지 46
 
5.0%
엔 43
 
4.6%
술 40
 
4.3%
단 31
 
3.3%
스 25
 
2.7%
링 23
 
2.5%
어 23
 
2.5%
Other values (136) 481
51.8%
Latin
ValueCountFrequency (%)
S 2
20.0%
T 2
20.0%
E 2
20.0%
C 1
10.0%
J 1
10.0%
N 1
10.0%
G 1
10.0%
Common
ValueCountFrequency (%)
) 113
48.3%
( 112
47.9%
6
 
2.6%
& 2
 
0.9%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 927
79.0%
ASCII 244
 
20.8%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 114
 
12.3%
이 56
 
6.0%
기 47
 
5.1%
지 46
 
5.0%
엔 43
 
4.6%
술 40
 
4.3%
단 31
 
3.3%
스 25
 
2.7%
링 23
 
2.5%
어 23
 
2.5%
Other values (135) 479
51.7%
ASCII
ValueCountFrequency (%)
) 113
46.3%
( 112
45.9%
6
 
2.5%
S 2
 
0.8%
T 2
 
0.8%
& 2
 
0.8%
E 2
 
0.8%
C 1
 
0.4%
- 1
 
0.4%
J 1
 
0.4%
Other values (2) 2
 
0.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정시점
Real number (ℝ)

Distinct133
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153831 × 1013
Minimum2.0060228 × 1013
Maximum2.0210323 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:43.770860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060228 × 1013
5-th percentile2.0070683 × 1013
Q12.0130602 × 1013
median2.0170217 × 1013
Q32.0190411 × 1013
95-th percentile2.0201211 × 1013
Maximum2.0210323 × 1013
Range1.5009505 × 1011
Interquartile range (IQR)5.9809732 × 1010

Descriptive statistics

Standard deviation4.2676666 × 1010
Coefficient of variation (CV)0.0021175461
Kurtosis-0.55988293
Mean2.0153831 × 1013
Median Absolute Deviation (MAD)2.0906003 × 1010
Skewness-0.74142705
Sum2.740921 × 1015
Variance1.8212978 × 1021
MonotonicityNot monotonic
2024-04-21T11:26:44.059173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190603131251 2
 
1.5%
20201207121232 2
 
1.5%
20080407164620 2
 
1.5%
20070427151903 1
 
0.7%
20160406155139 1
 
0.7%
20210323131358 1
 
0.7%
20110307103500 1
 
0.7%
20091026113937 1
 
0.7%
20180220162249 1
 
0.7%
20150604105530 1
 
0.7%
Other values (123) 123
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 (%)
20210323131358 1
0.7%
20210322115851 1
0.7%
20210315155823 1
0.7%
20210302101652 1
0.7%
20210122092407 1
0.7%
20201222110059 1
0.7%
20201221135216 1
0.7%
20201207121232 2
1.5%
20201207093339 1
0.7%
20201124142209 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
100 
U
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 100
73.5%
U 36
 
26.5%

Length

2024-04-21T11:26:44.475763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:44.789803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 100
73.5%
u 36
 
26.5%

데이터갱신일자
Categorical

Distinct44
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
89 
2019-06-05 02:40:00.0
 
3
2019-02-16 02:40:00.0
 
2
2020-12-09 00:23:07.0
 
2
2019-03-07 02:40:00.0
 
1
Other values (39)
39 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique40 ?
Unique (%)29.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-12-09 00:23:07.0
3rd row2018-08-31 23:59:59.0
4th row2020-12-09 00:23:07.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 89
65.4%
2019-06-05 02:40:00.0 3
 
2.2%
2019-02-16 02:40:00.0 2
 
1.5%
2020-12-09 00:23:07.0 2
 
1.5%
2019-03-07 02:40:00.0 1
 
0.7%
2020-01-17 02:40:00.0 1
 
0.7%
2019-04-13 02:40:00.0 1
 
0.7%
2019-07-24 02:40:00.0 1
 
0.7%
2019-04-18 02:40:00.0 1
 
0.7%
2019-10-03 02:40:00.0 1
 
0.7%
Other values (34) 34
 
25.0%

Length

2024-04-21T11:26:45.121800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 90
33.1%
2018-08-31 89
32.7%
02:40:00.0 34
 
12.5%
2019-06-05 3
 
1.1%
2020-12-09 3
 
1.1%
2019-02-16 2
 
0.7%
00:23:07.0 2
 
0.7%
2019-09-04 2
 
0.7%
2019-03-14 1
 
0.4%
02:37:50.0 1
 
0.4%
Other values (45) 45
16.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)81.8%
Missing15
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean385040.99
Minimum179354.32
Maximum402151.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:45.504364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179354.32
5-th percentile379969.23
Q1387111.71
median388538.53
Q3390276.06
95-th percentile393963.84
Maximum402151.77
Range222797.45
Interquartile range (IQR)3164.3529

Descriptive statistics

Standard deviation26663.163
Coefficient of variation (CV)0.069247595
Kurtosis54.811415
Mean385040.99
Median Absolute Deviation (MAD)1671.8902
Skewness-7.3703397
Sum46589960
Variance7.1092424 × 108
MonotonicityNot monotonic
2024-04-21T11:26:45.926915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393519.0 3
 
2.2%
387201.360805555 3
 
2.2%
389322.05480288 3
 
2.2%
389156.480753965 3
 
2.2%
387009.24128532 2
 
1.5%
388188.345022103 2
 
1.5%
388005.691688458 2
 
1.5%
388662.131505051 2
 
1.5%
388693.786804221 2
 
1.5%
385176.737186745 2
 
1.5%
Other values (89) 97
71.3%
(Missing) 15
 
11.0%
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 (%)81.8%
Missing15
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean192640.66
Minimum179043.78
Maximum461959.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:46.318836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179043.78
5-th percentile180176.03
Q1185997.67
median188402.47
Q3190936.06
95-th percentile194838.19
Maximum461959.9
Range282916.12
Interquartile range (IQR)4938.3908

Descriptive statistics

Standard deviation34340.006
Coefficient of variation (CV)0.17825939
Kurtosis56.472903
Mean192640.66
Median Absolute Deviation (MAD)2427.7929
Skewness7.5273908
Sum23309520
Variance1.179236 × 109
MonotonicityNot monotonic
2024-04-21T11:26:46.741832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188317.0 3
 
2.2%
186567.130891234 3
 
2.2%
188948.591685089 3
 
2.2%
192373.526379535 3
 
2.2%
186676.384325999 2
 
1.5%
184059.516935515 2
 
1.5%
186077.039992466 2
 
1.5%
188609.481783559 2
 
1.5%
186577.921368633 2
 
1.5%
185974.672147856 2
 
1.5%
Other values (89) 97
71.3%
(Missing) 15
 
11.0%
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
136 

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 136
100.0%

Length

2024-04-21T11:26:47.158678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:47.464148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
감리업 136
100.0%

설계감리업종류명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전문감리업
77 
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 row전문감리업

Common Values

ValueCountFrequency (%)
전문감리업 77
56.6%
종합감리업 59
43.4%

Length

2024-04-21T11:26:47.778376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:48.092284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문감리업 77
56.6%
종합감리업 59
43.4%

소속국가명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
대한민국
130 
<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 130
95.6%
<NA> 6
 
4.4%

Length

2024-04-21T11:26:48.429681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:26:48.742975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 130
95.6%
na 6
 
4.4%

실질자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)24.4%
Missing13
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean85825153
Minimum0
Maximum5.25 × 108
Zeros41
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T11:26:49.060032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000000
Q31 × 108
95-th percentile4.8 × 108
Maximum5.25 × 108
Range5.25 × 108
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.2117672 × 108
Coefficient of variation (CV)1.4119022
Kurtosis5.8230742
Mean85825153
Median Absolute Deviation (MAD)50000000
Skewness2.4229303
Sum1.0556494 × 1010
Variance1.4683797 × 1016
MonotonicityNot monotonic
2024-04-21T11:26:49.462670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 41
30.1%
50000000 28
20.6%
100000000 16
 
11.8%
500000000 4
 
2.9%
200000000 4
 
2.9%
150000000 3
 
2.2%
120000000 2
 
1.5%
125000000 2
 
1.5%
263000000 2
 
1.5%
102225700 1
 
0.7%
Other values (20) 20
14.7%
(Missing) 13
 
9.6%
ValueCountFrequency (%)
0 41
30.1%
5433992 1
 
0.7%
50000000 28
20.6%
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
2.9%
300000000 1
 
0.7%
263000000 2
1.5%
215118983 1
 
0.7%
201730733 1
 
0.7%
200000000 4
2.9%
150000000 3
2.2%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명설계감리업종류명소속국가명실질자본금Unnamed: 32
01전력기술감리업체09_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>
12전력기술감리업체09_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>
23전력기술감리업체09_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>
34전력기술감리업체09_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>
45전력기술감리업체09_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>
56전력기술감리업체09_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>
67전력기술감리업체09_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>
78전력기술감리업체09_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>
89전력기술감리업체09_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>
910전력기술감리업체09_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업종구분명설계감리업종류명소속국가명실질자본금Unnamed: 32
126127전력기술감리업체09_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>
127128전력기술감리업체09_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>
128129전력기술감리업체09_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>
129130전력기술감리업체09_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>
130131전력기술감리업체09_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>
131132전력기술감리업체09_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>
132133전력기술감리업체09_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>
133134전력기술감리업체09_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>
134135전력기술감리업체09_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>
135136전력기술감리업체09_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>