Overview

Dataset statistics

Number of variables36
Number of observations23
Missing cells255
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory316.6 B

Variable types

Numeric9
Categorical13
Unsupported10
Text4

Dataset

Description22년10월_6270000_대구광역시_11_47_01_P_상조업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096868&dataSetDetailId=DDI_0000096896&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (51.3%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 3 (13.0%) missing valuesMissing
도로명전체주소 has 1 (4.3%) missing valuesMissing
도로명우편번호 has 23 (100.0%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
민원종류명 has 23 (100.0%) missing valuesMissing
공제계약명 has 21 (91.3%) missing valuesMissing
공제계약기타명 has 23 (100.0%) missing valuesMissing
채무지급보증 has 23 (100.0%) missing valuesMissing
번호 has unique valuesUnique
소재지전화 has unique valuesUnique
사업장명 has unique valuesUnique
사업자등록번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
민원종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공제계약기타명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
채무지급보증 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금의 규모 has 1 (4.3%) zerosZeros

Reproduction

Analysis started2024-04-21 10:14:45.206033
Analysis finished2024-04-21 10:14:45.760106
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:14:45.921512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-04-21T19:14:46.286548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
상조업
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상조업 23
100.0%

Length

2024-04-21T19:14:46.661321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:46.938331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상조업 23
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
11_47_01_P
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11_47_01_P 23
100.0%

Length

2024-04-21T19:14:47.230234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:47.513293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_47_01_p 23
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
6270000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 23
100.0%

Length

2024-04-21T19:14:47.805595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:48.089050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 23
100.0%

관리번호
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2.0116270000051e+19
13 
2.0106270000051e+19
8 
2.0136270000051e+19
2 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0106270000051e+19
2nd row2.0106270000051e+19
3rd row2.0106270000051e+19
4th row2.0106270000051e+19
5th row2.0106270000051e+19

Common Values

ValueCountFrequency (%)
2.0116270000051e+19 13
56.5%
2.0106270000051e+19 8
34.8%
2.0136270000051e+19 2
 
8.7%

Length

2024-04-21T19:14:48.382419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:48.682063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0116270000051e+19 13
56.5%
2.0106270000051e+19 8
34.8%
2.0136270000051e+19 2
 
8.7%

인허가일자
Real number (ℝ)

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108862
Minimum20101011
Maximum20130717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:14:48.998340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101011
5-th percentile20101014
Q120101110
median20110222
Q320110313
95-th percentile20128629
Maximum20130717
Range29706
Interquartile range (IQR)9203

Descriptive statistics

Standard deviation8155.365
Coefficient of variation (CV)0.00040556074
Kurtosis3.047396
Mean20108862
Median Absolute Deviation (MAD)193
Skewness1.5600624
Sum4.6250383 × 108
Variance66509978
MonotonicityNot monotonic
2024-04-21T19:14:49.382695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20110310 3
13.0%
20101110 3
13.0%
20110308 2
 
8.7%
20101019 2
 
8.7%
20110726 1
 
4.3%
20110316 1
 
4.3%
20110125 1
 
4.3%
20110107 1
 
4.3%
20130717 1
 
4.3%
20110415 1
 
4.3%
Other values (7) 7
30.4%
ValueCountFrequency (%)
20101011 1
 
4.3%
20101014 1
 
4.3%
20101019 2
8.7%
20101110 3
13.0%
20101210 1
 
4.3%
20110107 1
 
4.3%
20110120 1
 
4.3%
20110125 1
 
4.3%
20110222 1
 
4.3%
20110308 2
8.7%
ValueCountFrequency (%)
20130717 1
 
4.3%
20130618 1
 
4.3%
20110726 1
 
4.3%
20110415 1
 
4.3%
20110317 1
 
4.3%
20110316 1
 
4.3%
20110310 3
13.0%
20110308 2
8.7%
20110222 1
 
4.3%
20110125 1
 
4.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
3
12 
4
7 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 12
52.2%
4 7
30.4%
1 4
 
17.4%

Length

2024-04-21T19:14:49.778659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:50.076595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
52.2%
4 7
30.4%
1 4
 
17.4%

영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
폐업
12 
취소/말소/만료/정지/중지
7 
영업/정상
4 

Length

Max length14
Median length2
Mean length6.173913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
52.2%
취소/말소/만료/정지/중지 7
30.4%
영업/정상 4
 
17.4%

Length

2024-04-21T19:14:50.444667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:50.770432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
52.2%
취소/말소/만료/정지/중지 7
30.4%
영업/정상 4
 
17.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
3
12 
8
7 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 12
52.2%
8 7
30.4%
1 4
 
17.4%

Length

2024-04-21T19:14:51.106566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:51.405646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
52.2%
8 7
30.4%
1 4
 
17.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
폐업
12 
직권말소
7 
영업중
4 

Length

Max length4
Median length2
Mean length2.7826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 12
52.2%
직권말소 7
30.4%
영업중 4
 
17.4%

Length

2024-04-21T19:14:51.782699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:52.123818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
52.2%
직권말소 7
30.4%
영업중 4
 
17.4%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size312.0 B
<NA>
18 
20181214
 
1
20201203
 
1
20170829
 
1
20170404
 
1

Length

Max length8
Median length4
Mean length4.8695652
Min length4

Unique

Unique5 ?
Unique (%)21.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
78.3%
20181214 1
 
4.3%
20201203 1
 
4.3%
20170829 1
 
4.3%
20170404 1
 
4.3%
20181220 1
 
4.3%

Length

2024-04-21T19:14:52.507051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:14:52.861459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
78.3%
20181214 1
 
4.3%
20201203 1
 
4.3%
20170829 1
 
4.3%
20170404 1
 
4.3%
20181220 1
 
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

소재지전화
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8787594 × 108
Minimum15773125
Maximum7.0404059 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:14:53.194669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15773125
5-th percentile15788409
Q15.3254722 × 108
median5.3426722 × 108
Q35.3698065 × 108
95-th percentile6.3903171 × 109
Maximum7.0404059 × 109
Range7.0246328 × 109
Interquartile range (IQR)4433427.5

Descriptive statistics

Standard deviation1.9220063 × 109
Coefficient of variation (CV)1.9455948
Kurtosis8.3150018
Mean9.8787594 × 108
Median Absolute Deviation (MAD)2273808
Skewness3.0666931
Sum2.2721147 × 1010
Variance3.6941082 × 1018
MonotonicityNot monotonic
2024-04-21T19:14:53.590430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
15777883 1
 
4.3%
532568800 1
 
4.3%
7040405895 1
 
4.3%
7040405594 1
 
4.3%
532530006 1
 
4.3%
16008889 1
 
4.3%
537429222 1
 
4.3%
533544451 1
 
4.3%
534283421 1
 
4.3%
535607481 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
15773125 1
4.3%
15777883 1
4.3%
15883145 1
4.3%
16008889 1
4.3%
16440042 1
4.3%
532530006 1
4.3%
532564441 1
4.3%
532568800 1
4.3%
532669401 1
4.3%
533544451 1
4.3%
ValueCountFrequency (%)
7040405895 1
4.3%
7040405594 1
4.3%
539520304 1
4.3%
537433773 1
4.3%
537429222 1
4.3%
537420278 1
4.3%
536541024 1
4.3%
535607481 1
4.3%
535551024 1
4.3%
534283421 1
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing3
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean670042.4
Minimum42401
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:14:53.947033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42401
5-th percentile667803.1
Q1701167.5
median702359.5
Q3704109.5
95-th percentile706820.8
Maximum706836
Range664435
Interquartile range (IQR)2942

Descriptive statistics

Standard deviation147744.56
Coefficient of variation (CV)0.22050032
Kurtosis19.991723
Mean670042.4
Median Absolute Deviation (MAD)1478.5
Skewness-4.4708121
Sum13400848
Variance2.1828456 × 1010
MonotonicityNot monotonic
2024-04-21T19:14:54.305948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
701827 2
 
8.7%
702852 2
 
8.7%
704909 2
 
8.7%
701817 1
 
4.3%
703843 1
 
4.3%
701010 1
 
4.3%
700831 1
 
4.3%
705805 1
 
4.3%
701220 1
 
4.3%
700719 1
 
4.3%
Other values (7) 7
30.4%
(Missing) 3
13.0%
ValueCountFrequency (%)
42401 1
4.3%
700719 1
4.3%
700831 1
4.3%
700847 1
4.3%
701010 1
4.3%
701220 1
4.3%
701817 1
4.3%
701827 2
8.7%
701867 1
4.3%
702852 2
8.7%
ValueCountFrequency (%)
706836 1
4.3%
706820 1
4.3%
705805 1
4.3%
704909 2
8.7%
703843 1
4.3%
703833 1
4.3%
703823 1
4.3%
702852 2
8.7%
701867 1
4.3%
701827 2
8.7%

소재지전체주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-04-21T19:14:55.078435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length23.73913
Min length1

Characters and Unicode

Total characters546
Distinct characters59
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row대구광역시 수성구 범어동 165번지 4호
2nd row대구광역시 동구 율하동 1114번지
3rd row대구광역시 달서구 두류동 495번지 43호
4th row대구광역시 달서구 송현동 1031번지 9호 4층
5th row대구광역시 달서구 두류동 101번지 4호
ValueCountFrequency (%)
대구광역시 21
 
18.9%
동구 6
 
5.4%
2호 5
 
4.5%
4호 4
 
3.6%
4층 3
 
2.7%
중구 3
 
2.7%
서구 3
 
2.7%
달서구 3
 
2.7%
548번지 2
 
1.8%
신암동 2
 
1.8%
Other values (50) 59
53.2%
2024-04-21T19:14:56.287591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
24.4%
구 42
 
7.7%
동 28
 
5.1%
1 27
 
4.9%
대 23
 
4.2%
호 22
 
4.0%
지 21
 
3.8%
번 21
 
3.8%
4 21
 
3.8%
광 21
 
3.8%
Other values (49) 187
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
54.6%
Space Separator 133
24.4%
Decimal Number 115
 
21.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 42
14.1%
동 28
 
9.4%
대 23
 
7.7%
호 22
 
7.4%
지 21
 
7.0%
번 21
 
7.0%
광 21
 
7.0%
시 21
 
7.0%
역 21
 
7.0%
서 7
 
2.3%
Other values (38) 71
23.8%
Decimal Number
ValueCountFrequency (%)
1 27
23.5%
4 21
18.3%
2 18
15.7%
6 11
9.6%
0 10
 
8.7%
9 8
 
7.0%
5 8
 
7.0%
3 6
 
5.2%
8 4
 
3.5%
7 2
 
1.7%
Space Separator
ValueCountFrequency (%)
133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
54.6%
Common 248
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 42
14.1%
동 28
 
9.4%
대 23
 
7.7%
호 22
 
7.4%
지 21
 
7.0%
번 21
 
7.0%
광 21
 
7.0%
시 21
 
7.0%
역 21
 
7.0%
서 7
 
2.3%
Other values (38) 71
23.8%
Common
ValueCountFrequency (%)
133
53.6%
1 27
 
10.9%
4 21
 
8.5%
2 18
 
7.3%
6 11
 
4.4%
0 10
 
4.0%
9 8
 
3.2%
5 8
 
3.2%
3 6
 
2.4%
8 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
54.6%
ASCII 248
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
53.6%
1 27
 
10.9%
4 21
 
8.5%
2 18
 
7.3%
6 11
 
4.4%
0 10
 
4.0%
9 8
 
3.2%
5 8
 
3.2%
3 6
 
2.4%
8 4
 
1.6%
Hangul
ValueCountFrequency (%)
구 42
14.1%
동 28
 
9.4%
대 23
 
7.7%
호 22
 
7.4%
지 21
 
7.0%
번 21
 
7.0%
광 21
 
7.0%
시 21
 
7.0%
역 21
 
7.0%
서 7
 
2.3%
Other values (38) 71
23.8%

도로명전체주소
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing1
Missing (%)4.3%
Memory size312.0 B
2024-04-21T19:14:57.127271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32.5
Mean length27.909091
Min length22

Characters and Unicode

Total characters614
Distinct characters87
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row대구광역시 수성구 달구벌대로 2461 (범어동)
2nd row대구광역시 동구 안심로 52, 4층 (율하동)
3rd row대구광역시 달서구 달구벌대로 1678 (두류동)
4th row대구광역시 달서구 월배로 465, 4층(송현동)
5th row대구광역시 달서구 달구벌대로 1812 (두류동)
ValueCountFrequency (%)
대구광역시 22
 
18.6%
동구 5
 
4.2%
수성구 4
 
3.4%
4층 3
 
2.5%
중구 3
 
2.5%
서구 3
 
2.5%
달서구 3
 
2.5%
달구벌대로 3
 
2.5%
두류동 2
 
1.7%
북구 2
 
1.7%
Other values (61) 68
57.6%
2024-04-21T19:14:58.368601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
15.6%
구 49
 
8.0%
동 34
 
5.5%
대 31
 
5.0%
( 22
 
3.6%
광 22
 
3.6%
역 22
 
3.6%
시 22
 
3.6%
) 22
 
3.6%
로 22
 
3.6%
Other values (77) 272
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
58.8%
Decimal Number 98
 
16.0%
Space Separator 96
 
15.6%
Open Punctuation 22
 
3.6%
Close Punctuation 22
 
3.6%
Other Punctuation 15
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 49
 
13.6%
동 34
 
9.4%
대 31
 
8.6%
광 22
 
6.1%
역 22
 
6.1%
시 22
 
6.1%
로 22
 
6.1%
성 11
 
3.0%
층 9
 
2.5%
가 7
 
1.9%
Other values (63) 132
36.6%
Decimal Number
ValueCountFrequency (%)
1 19
19.4%
4 17
17.3%
2 16
16.3%
5 8
8.2%
3 8
8.2%
8 6
 
6.1%
0 6
 
6.1%
9 6
 
6.1%
6 6
 
6.1%
7 6
 
6.1%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
58.8%
Common 253
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 49
 
13.6%
동 34
 
9.4%
대 31
 
8.6%
광 22
 
6.1%
역 22
 
6.1%
시 22
 
6.1%
로 22
 
6.1%
성 11
 
3.0%
층 9
 
2.5%
가 7
 
1.9%
Other values (63) 132
36.6%
Common
ValueCountFrequency (%)
96
37.9%
( 22
 
8.7%
) 22
 
8.7%
1 19
 
7.5%
4 17
 
6.7%
2 16
 
6.3%
, 15
 
5.9%
5 8
 
3.2%
3 8
 
3.2%
8 6
 
2.4%
Other values (4) 24
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
58.8%
ASCII 253
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
37.9%
( 22
 
8.7%
) 22
 
8.7%
1 19
 
7.5%
4 17
 
6.7%
2 16
 
6.3%
, 15
 
5.9%
5 8
 
3.2%
3 8
 
3.2%
8 6
 
2.4%
Other values (4) 24
 
9.5%
Hangul
ValueCountFrequency (%)
구 49
 
13.6%
동 34
 
9.4%
대 31
 
8.6%
광 22
 
6.1%
역 22
 
6.1%
시 22
 
6.1%
로 22
 
6.1%
성 11
 
3.0%
층 9
 
2.5%
가 7
 
1.9%
Other values (63) 132
36.6%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-04-21T19:14:59.033945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.2173913
Min length5

Characters and Unicode

Total characters212
Distinct characters70
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row디에스라이프(주)
2nd row현대에스라이프(주)
3rd row다나상조주식회사
4th row(주)영남글로벌
5th row삼성드림이벤트(주)
ValueCountFrequency (%)
주식회사 3
 
11.5%
디에스라이프(주 1
 
3.8%
현대에스라이프(주 1
 
3.8%
대한해외참전전우회상조회 1
 
3.8%
삼성문화상조(주 1
 
3.8%
주식회사한성종합상조 1
 
3.8%
주식회사삼성개발 1
 
3.8%
상조법인좋은라이프 1
 
3.8%
대한상조개발(주 1
 
3.8%
주)국화원상조 1
 
3.8%
Other values (14) 14
53.8%
2024-04-21T19:15:00.100649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 23
 
10.8%
( 16
 
7.5%
) 16
 
7.5%
상 13
 
6.1%
조 13
 
6.1%
회 9
 
4.2%
사 7
 
3.3%
식 7
 
3.3%
이 5
 
2.4%
대 5
 
2.4%
Other values (60) 98
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
82.1%
Open Punctuation 16
 
7.5%
Close Punctuation 16
 
7.5%
Space Separator 3
 
1.4%
Decimal Number 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
13.2%
상 13
 
7.5%
조 13
 
7.5%
회 9
 
5.2%
사 7
 
4.0%
식 7
 
4.0%
이 5
 
2.9%
대 5
 
2.9%
성 4
 
2.3%
화 4
 
2.3%
Other values (55) 84
48.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
82.1%
Common 38
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
13.2%
상 13
 
7.5%
조 13
 
7.5%
회 9
 
5.2%
사 7
 
4.0%
식 7
 
4.0%
이 5
 
2.9%
대 5
 
2.9%
성 4
 
2.3%
화 4
 
2.3%
Other values (55) 84
48.3%
Common
ValueCountFrequency (%)
( 16
42.1%
) 16
42.1%
3
 
7.9%
1 2
 
5.3%
9 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
82.1%
ASCII 38
 
17.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 23
 
13.2%
상 13
 
7.5%
조 13
 
7.5%
회 9
 
5.2%
사 7
 
4.0%
식 7
 
4.0%
이 5
 
2.9%
대 5
 
2.9%
성 4
 
2.3%
화 4
 
2.3%
Other values (55) 84
48.3%
ASCII
ValueCountFrequency (%)
( 16
42.1%
) 16
42.1%
3
 
7.9%
1 2
 
5.3%
9 1
 
2.6%

최종수정시점
Real number (ℝ)

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0177658 × 1013
Minimum2.0130401 × 1013
Maximum2.0221017 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:15:00.479527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130401 × 1013
5-th percentile2.0140289 × 1013
Q12.0141206 × 1013
median2.0181214 × 1013
Q32.019557 × 1013
95-th percentile2.0220921 × 1013
Maximum2.0221017 × 1013
Range9.0616 × 1010
Interquartile range (IQR)5.43635 × 1010

Descriptive statistics

Standard deviation2.9829316 × 1010
Coefficient of variation (CV)0.0014783339
Kurtosis-1.1776698
Mean2.0177658 × 1013
Median Absolute Deviation (MAD)1.9892 × 1010
Skewness-0.10285064
Sum4.6408613 × 1014
Variance8.897881 × 1020
MonotonicityNot monotonic
2024-04-21T19:15:00.855127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20190320000000 3
 
13.0%
20140918000000 3
 
13.0%
20220110000000 2
 
8.7%
20180410000000 1
 
4.3%
20170728000000 1
 
4.3%
20221017000000 1
 
4.3%
20190207000000 1
 
4.3%
20181220000000 1
 
4.3%
20130401000000 1
 
4.3%
20170404000000 1
 
4.3%
Other values (8) 8
34.8%
ValueCountFrequency (%)
20130401000000 1
 
4.3%
20140219000000 1
 
4.3%
20140918000000 3
13.0%
20141201000000 1
 
4.3%
20141211000000 1
 
4.3%
20170404000000 1
 
4.3%
20170728000000 1
 
4.3%
20180410000000 1
 
4.3%
20181031000000 1
 
4.3%
20181214000000 1
 
4.3%
ValueCountFrequency (%)
20221017000000 1
 
4.3%
20221011000000 1
 
4.3%
20220110000000 2
8.7%
20201106000000 1
 
4.3%
20200819000000 1
 
4.3%
20190320000000 3
13.0%
20190207000000 1
 
4.3%
20181220000000 1
 
4.3%
20181214000000 1
 
4.3%
20181031000000 1
 
4.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
U
13 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 13
56.5%
I 10
43.5%

Length

2024-04-21T19:15:01.229898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:15:01.517478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 13
56.5%
i 10
43.5%

데이터갱신일자
Categorical

Distinct11
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size312.0 B
2018-08-31 23:59:59.0
10 
2019-03-22 02:40:00.0
3 
2022-01-12 02:40:00.0
2 
2020-08-21 02:40:00.0
 
1
2018-11-02 02:37:46.0
 
1
Other values (6)
6 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)34.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-08-21 02:40:00.0
3rd row2018-11-02 02:37:46.0
4th row2022-10-13 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 10
43.5%
2019-03-22 02:40:00.0 3
 
13.0%
2022-01-12 02:40:00.0 2
 
8.7%
2020-08-21 02:40:00.0 1
 
4.3%
2018-11-02 02:37:46.0 1
 
4.3%
2022-10-13 02:40:00.0 1
 
4.3%
2018-12-16 02:40:00.0 1
 
4.3%
2020-11-08 02:40:00.0 1
 
4.3%
2018-12-22 02:40:00.0 1
 
4.3%
2019-02-09 02:40:00.0 1
 
4.3%

Length

2024-04-21T19:15:01.949545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 12
26.1%
2018-08-31 10
21.7%
23:59:59.0 10
21.7%
2019-03-22 3
 
6.5%
2022-01-12 2
 
4.3%
2020-08-21 1
 
2.2%
2018-11-02 1
 
2.2%
02:37:46.0 1
 
2.2%
2022-10-13 1
 
2.2%
2018-12-16 1
 
2.2%
Other values (4) 4
 
8.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

좌표정보(X)
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344816.14
Minimum338990.78
Maximum356391.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:15:02.255580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum338990.78
5-th percentile339956.15
Q1342260.54
median344686.26
Q3346296.05
95-th percentile352150.95
Maximum356391.67
Range17400.898
Interquartile range (IQR)4035.5062

Descriptive statistics

Standard deviation3945.1249
Coefficient of variation (CV)0.011441242
Kurtosis2.5810559
Mean344816.14
Median Absolute Deviation (MAD)2129.8071
Skewness1.2437965
Sum7930771.2
Variance15564011
MonotonicityNot monotonic
2024-04-21T19:15:02.636719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
345356.271143 2
 
8.7%
347335.273379 1
 
4.3%
344501.71691 1
 
4.3%
356391.674186 1
 
4.3%
344256.417997 1
 
4.3%
346854.59615 1
 
4.3%
341964.635783 1
 
4.3%
342556.452224 1
 
4.3%
338990.776445 1
 
4.3%
345612.828315 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
338990.776445 1
4.3%
339899.759247 1
4.3%
340463.641536 1
4.3%
341061.700252 1
4.3%
341117.292103 1
4.3%
341964.635783 1
4.3%
342556.452224 1
4.3%
342620.960219 1
4.3%
343770.758234 1
4.3%
344256.417997 1
4.3%
ValueCountFrequency (%)
356391.674186 1
4.3%
352686.024252 1
4.3%
347335.273379 1
4.3%
346959.363825 1
4.3%
346854.59615 1
4.3%
346813.23223 1
4.3%
345778.868186 1
4.3%
345736.402569 1
4.3%
345612.828315 1
4.3%
345356.271143 2
8.7%

좌표정보(Y)
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263980.48
Minimum260533.78
Maximum266065.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:15:02.986893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260533.78
5-th percentile261243.57
Q1263314.17
median264136.09
Q3264859.16
95-th percentile265665.24
Maximum266065.64
Range5531.8546
Interquartile range (IQR)1544.9904

Descriptive statistics

Standard deviation1349.8286
Coefficient of variation (CV)0.0051133653
Kurtosis1.1397988
Mean263980.48
Median Absolute Deviation (MAD)821.47517
Skewness-0.92171016
Sum6071551.1
Variance1822037.3
MonotonicityNot monotonic
2024-04-21T19:15:03.348577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
263574.87938 2
 
8.7%
263361.797414 1
 
4.3%
265362.578698 1
 
4.3%
264760.749524 1
 
4.3%
265162.329834 1
 
4.3%
264420.293469 1
 
4.3%
266065.638489 1
 
4.3%
263113.849389 1
 
4.3%
263229.212843 1
 
4.3%
264297.689174 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
260533.783843 1
4.3%
261082.310662 1
4.3%
262694.927283 1
4.3%
263113.849389 1
4.3%
263229.212843 1
4.3%
263266.533347 1
4.3%
263361.797414 1
4.3%
263574.87938 2
8.7%
263623.262721 1
4.3%
263958.880864 1
4.3%
ValueCountFrequency (%)
266065.638489 1
4.3%
265685.847206 1
4.3%
265479.726265 1
4.3%
265362.578698 1
4.3%
265162.329834 1
4.3%
264957.561961 1
4.3%
264760.749524 1
4.3%
264697.776493 1
4.3%
264510.459651 1
4.3%
264420.293469 1
4.3%

민원종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

자본금의 규모
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4087392 × 109
Minimum0
Maximum4.3000001 × 1010
Zeros1
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:15:03.702762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3 × 108
Q13 × 108
median3 × 108
Q39.005 × 108
95-th percentile1.59 × 109
Maximum4.3000001 × 1010
Range4.3000001 × 1010
Interquartile range (IQR)6.005 × 108

Descriptive statistics

Standard deviation8.8640082 × 109
Coefficient of variation (CV)3.6799369
Kurtosis22.817281
Mean2.4087392 × 109
Median Absolute Deviation (MAD)0
Skewness4.7687422
Sum5.5401001 × 1010
Variance7.8570642 × 1019
MonotonicityNot monotonic
2024-04-21T19:15:04.026813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
300000000 15
65.2%
1500000000 4
 
17.4%
1600000000 1
 
4.3%
301000000 1
 
4.3%
0 1
 
4.3%
43000001000 1
 
4.3%
ValueCountFrequency (%)
0 1
 
4.3%
300000000 15
65.2%
301000000 1
 
4.3%
1500000000 4
 
17.4%
1600000000 1
 
4.3%
43000001000 1
 
4.3%
ValueCountFrequency (%)
43000001000 1
 
4.3%
1600000000 1
 
4.3%
1500000000 4
 
17.4%
301000000 1
 
4.3%
300000000 15
65.2%
0 1
 
4.3%

예치기관명
Categorical

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size312.0 B
<NA>
8 
우리은행
5 
국민은행
5 
신한은행
3 
대구은행
1 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8
34.8%
우리은행 5
21.7%
국민은행 5
21.7%
신한은행 3
 
13.0%
대구은행 1
 
4.3%
하나은행 1
 
4.3%

Length

2024-04-21T19:15:04.387875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:15:04.703027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8
34.8%
우리은행 5
21.7%
국민은행 5
21.7%
신한은행 3
 
13.0%
대구은행 1
 
4.3%
하나은행 1
 
4.3%

공제계약명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing21
Missing (%)91.3%
Memory size312.0 B
2024-04-21T19:15:05.193511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row기타
2nd row우리은행
ValueCountFrequency (%)
기타 1
50.0%
우리은행 1
50.0%
2024-04-21T19:15:06.137120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
우 1
16.7%
리 1
16.7%
은 1
16.7%
행 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
우 1
16.7%
리 1
16.7%
은 1
16.7%
행 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
우 1
16.7%
리 1
16.7%
은 1
16.7%
행 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
우 1
16.7%
리 1
16.7%
은 1
16.7%
행 1
16.7%

공제계약기타명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

보험
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
<NA>
17 
상조보증공제조합
4 
한국상조공제조합
2 

Length

Max length8
Median length4
Mean length5.0434783
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
73.9%
상조보증공제조합 4
 
17.4%
한국상조공제조합 2
 
8.7%

Length

2024-04-21T19:15:06.570862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:15:06.916208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
73.9%
상조보증공제조합 4
 
17.4%
한국상조공제조합 2
 
8.7%

채무지급보증
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

사업자등록번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1355854 × 109
Minimum5.018106 × 109
Maximum6.1081911 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-04-21T19:15:07.254071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.018106 × 109
5-th percentile5.0181169 × 109
Q15.0281834 × 109
median5.0381932 × 109
Q35.0481828 × 109
95-th percentile5.967149 × 109
Maximum6.1081911 × 109
Range1.0900851 × 109
Interquartile range (IQR)19999402

Descriptive statistics

Standard deviation3.005857 × 108
Coefficient of variation (CV)0.058529978
Kurtosis8.4072293
Mean5.1355854 × 109
Median Absolute Deviation (MAD)9997594
Skewness3.0904064
Sum1.1811847 × 1011
Variance9.0351765 × 1016
MonotonicityNot monotonic
2024-04-21T19:15:07.655933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5018106001 1
 
4.3%
5048145435 1
 
4.3%
5118113907 1
 
4.3%
6058151171 1
 
4.3%
5038162445 1
 
4.3%
5048190774 1
 
4.3%
5028167530 1
 
4.3%
5038607016 1
 
4.3%
5048174906 1
 
4.3%
5038193180 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
5018106001 1
4.3%
5018116402 1
4.3%
5018121263 1
4.3%
5028146549 1
4.3%
5028167530 1
4.3%
5028167812 1
4.3%
5028199065 1
4.3%
5038142454 1
4.3%
5038162445 1
4.3%
5038169870 1
4.3%
ValueCountFrequency (%)
6108191063 1
4.3%
6058151171 1
4.3%
5148129674 1
4.3%
5118113907 1
4.3%
5048602479 1
4.3%
5048190774 1
4.3%
5048174906 1
4.3%
5048168909 1
4.3%
5048145435 1
4.3%
5048121414 1
4.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)민원종류명자본금의 규모예치기관명공제계약명공제계약기타명보험채무지급보증사업자등록번호
01상조업11_47_01_P62700002010627000005100000120101011<NA>1영업/정상1영업중<NA><NA><NA><NA>15777883<NA>706820대구광역시 수성구 범어동 165번지 4호대구광역시 수성구 달구벌대로 2461 (범어동)<NA>디에스라이프(주)20180410000000I2018-08-31 23:59:59.0<NA>347335.273379263361.797414<NA>1600000000대구은행<NA><NA><NA><NA>5018106001
12상조업11_47_01_P62700002010627000005100000920101110<NA>1영업/정상1영업중<NA><NA><NA><NA>532568800<NA>701220대구광역시 동구 율하동 1114번지대구광역시 동구 안심로 52, 4층 (율하동)<NA>현대에스라이프(주)20200819000000U2020-08-21 02:40:00.0<NA>352686.024252264697.776493<NA>1500000000<NA><NA><NA>한국상조공제조합<NA>5048145435
23상조업11_47_01_P62700002010627000005100001120101210<NA>1영업/정상1영업중<NA><NA><NA><NA>15883145<NA>704909대구광역시 달서구 두류동 495번지 43호대구광역시 달서구 달구벌대로 1678 (두류동)<NA>다나상조주식회사20181031000000U2018-11-02 02:37:46.0<NA>339899.759247262694.927283<NA>1500000000<NA><NA><NA>한국상조공제조합<NA>5038176027
34상조업11_47_01_P62700002010627000005100000420101019<NA>1영업/정상1영업중<NA><NA><NA><NA>536541024<NA><NA>대구광역시 달서구 송현동 1031번지 9호 4층대구광역시 달서구 월배로 465, 4층(송현동)<NA>(주)영남글로벌20221011000000U2022-10-13 02:40:00.0<NA>340463.641536260533.783843<NA>1500000000<NA><NA><NA>상조보증공제조합<NA>5148129674
45상조업11_47_01_P62700002010627000005100000220101014<NA>3폐업3폐업<NA><NA><NA><NA>534253003<NA>704909대구광역시 달서구 두류동 101번지 4호대구광역시 달서구 달구벌대로 1812 (두류동)<NA>삼성드림이벤트(주)20141201000000I2018-08-31 23:59:59.0<NA>341117.292103263266.533347<NA>300000000<NA><NA><NA><NA><NA>5018121263
56상조업11_47_01_P62700002010627000005100000520101110<NA>3폐업3폐업<NA><NA><NA><NA>539520304<NA>701817대구광역시 동구 신암동 486번지 17호대구광역시 동구 송라로 135 (신암동)<NA>대구토탈상조(주)20140219000000I2018-08-31 23:59:59.0<NA>345778.868186265479.726265<NA>300000000우리은행<NA><NA><NA><NA>5028146549
67상조업11_47_01_P62700002013627000005100000120130618<NA>3폐업3폐업<NA><NA><NA><NA>537420278<NA><NA>대구광역시 수성구 동대구로 401, 17층 (범어동,삼성화재빌딩)<NA>(주)해피드림20141211000000I2018-08-31 23:59:59.0<NA>346813.23223264136.086788<NA>300000000국민은행<NA><NA><NA><NA>5048602479
78상조업11_47_01_P62700002011627000005100001020110310<NA>3폐업3폐업20181214<NA><NA><NA>535551024<NA>703843대구광역시 서구 평리동 1068번지 21호대구광역시 서구 통학로 161 (평리동)<NA>대구연합상조주식회사20181214000000U2018-12-16 02:40:00.0<NA>341061.700252264957.561961<NA>301000000국민은행<NA><NA><NA><NA>5038169870
89상조업11_47_01_P62700002011627000005100000420110120<NA>3폐업3폐업<NA><NA><NA><NA>15773125<NA>701010대구광역시 동구 신암동 164번지 2호대구광역시 동구 송라로 158 (신암동)<NA>(주)패밀리상조20140918000000I2018-08-31 23:59:59.0<NA>345736.402569265685.847206<NA>300000000신한은행기타<NA><NA><NA>5028199065
910상조업11_47_01_P62700002011627000005100000720110222<NA>3폐업3폐업20201203<NA><NA><NA>532564441<NA>700831대구광역시 중구 남산동 654번지 1호대구광역시 중구 중앙대로 323, 상가305호 (남산동,반월당에스케이허브스카이)<NA>(주)두레문화20201106000000U2020-11-08 02:40:00.0<NA>343770.758234263623.262721<NA>1500000000<NA><NA><NA>상조보증공제조합<NA>5018116402
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)민원종류명자본금의 규모예치기관명공제계약명공제계약기타명보험채무지급보증사업자등록번호
1314상조업11_47_01_P62700002011627000005100001720110726<NA>3폐업3폐업<NA><NA><NA><NA>16440042<NA>700719대구광역시 중구 삼덕동2가 210번지 1호 진석타워 1605호대구광역시 중구 동덕로 115, 1605호 (삼덕동2가,진석타워)<NA>주식회사 한동라이프20140918000000I2018-08-31 23:59:59.0<NA>344686.259338263958.880864<NA>300000000우리은행<NA><NA><NA><NA>6108191063
1415상조업11_47_01_P62700002011627000005100001920110310<NA>3폐업3폐업<NA><NA><NA><NA>534268200<NA>700847대구광역시 중구 동인동4가 490번지 2호대구광역시 중구 국채보상로152길 2 (동인동4가)<NA>선경문화산업(주)20130401000000I2018-08-31 23:59:59.0<NA>345612.828315264297.689174<NA>300000000우리은행<NA><NA><NA><NA>5038142454
1516상조업11_47_01_P62700002011627000005100001620110415<NA>3폐업3폐업20181220<NA><NA><NA>535607481<NA>703833대구광역시 서구 중리동 1164번지 27호대구광역시 서구 평리로29길 7 (중리동)<NA>(주)국화원상조20181220000000U2018-12-22 02:40:00.0<NA>338990.776445263229.212843<NA>300000000국민은행<NA><NA><NA><NA>5038193180
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1920상조업11_47_01_P62700002011627000005100000620110125<NA>4취소/말소/만료/정지/중지8직권말소<NA><NA><NA><NA>16008889<NA>702852대구광역시 북구 칠성동2가 302번지 112호 9층대구광역시 북구 칠성남로30길 28 (칠성동2가,9층)<NA>주식회사한성종합상조20190207000000U2019-02-09 02:40:00.0<NA>344256.417997265162.329834<NA>300000000국민은행<NA><NA><NA><NA>5048190774
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