Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells133291
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory414.0 B

Variable types

Numeric13
Categorical18
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년03월_6270000_대구광역시_07_22_10_P_식품자동판매기업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092678&dataSetDetailId=DDI_0000092732&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (77.4%)Imbalance
여성종사자수 is highly imbalanced (85.6%)Imbalance
급수시설구분명 is highly imbalanced (69.6%)Imbalance
총종업원수 is highly imbalanced (78.7%)Imbalance
본사종업원수 is highly imbalanced (52.9%)Imbalance
공장생산직종업원수 is highly imbalanced (53.5%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1276 (12.8%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 2351 (23.5%) missing valuesMissing
소재지면적 has 8027 (80.3%) missing valuesMissing
도로명전체주소 has 6493 (64.9%) missing valuesMissing
도로명우편번호 has 6564 (65.6%) missing valuesMissing
좌표정보(X) has 635 (6.3%) missing valuesMissing
좌표정보(Y) has 635 (6.3%) missing valuesMissing
영업장주변구분명 has 9999 (> 99.9%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
보증액 has 8625 (86.2%) missing valuesMissing
월세액 has 8626 (86.3%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -87.27597306)Skewed
소재지면적 is highly skewed (γ1 = 23.33049698)Skewed
월세액 is highly skewed (γ1 = 35.11580731)Skewed
시설총규모 is highly skewed (γ1 = 44.87538232)Skewed
번호 has unique valuesUnique
관리번호 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
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 252 (2.5%) zerosZeros
보증액 has 1366 (13.7%) zerosZeros
월세액 has 1366 (13.7%) zerosZeros
시설총규모 has 9874 (98.7%) zerosZeros

Reproduction

Analysis started2024-04-20 23:24:06.944849
Analysis finished2024-04-20 23:24:10.294888
Duration3.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5944.6173
Minimum3
Maximum11856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:10.481822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile593.95
Q12982.75
median5955.5
Q38909.25
95-th percentile11258.15
Maximum11856
Range11853
Interquartile range (IQR)5926.5

Descriptive statistics

Standard deviation3422.2845
Coefficient of variation (CV)0.57569468
Kurtosis-1.1961706
Mean5944.6173
Median Absolute Deviation (MAD)2963
Skewness-0.010284169
Sum59446173
Variance11712032
MonotonicityNot monotonic
2024-04-21T08:24:10.917241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11797 1
 
< 0.1%
4696 1
 
< 0.1%
7652 1
 
< 0.1%
10310 1
 
< 0.1%
1685 1
 
< 0.1%
3742 1
 
< 0.1%
6202 1
 
< 0.1%
4429 1
 
< 0.1%
2393 1
 
< 0.1%
10411 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
ValueCountFrequency (%)
11856 1
< 0.1%
11855 1
< 0.1%
11854 1
< 0.1%
11853 1
< 0.1%
11852 1
< 0.1%
11851 1
< 0.1%
11850 1
< 0.1%
11849 1
< 0.1%
11848 1
< 0.1%
11846 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기업
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기업 10000
100.0%

Length

2024-04-21T08:24:11.327062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:11.612269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_10_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_10_P
2nd row07_22_10_P
3rd row07_22_10_P
4th row07_22_10_P
5th row07_22_10_P

Common Values

ValueCountFrequency (%)
07_22_10_P 10000
100.0%

Length

2024-04-21T08:24:11.913923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:12.204103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_10_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446329
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:12.464233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21148.014
Coefficient of variation (CV)0.0061363885
Kurtosis-1.1590411
Mean3446329
Median Absolute Deviation (MAD)20000
Skewness-0.25262727
Sum3.446329 × 1010
Variance4.4723848 × 108
MonotonicityNot monotonic
2024-04-21T08:24:12.826719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2074
20.7%
3450000 1739
17.4%
3460000 1441
14.4%
3420000 1257
12.6%
3430000 1082
10.8%
3440000 960
9.6%
3410000 958
9.6%
3480000 489
 
4.9%
ValueCountFrequency (%)
3410000 958
9.6%
3420000 1257
12.6%
3430000 1082
10.8%
3440000 960
9.6%
3450000 1739
17.4%
3460000 1441
14.4%
3470000 2074
20.7%
3480000 489
 
4.9%
ValueCountFrequency (%)
3480000 489
 
4.9%
3470000 2074
20.7%
3460000 1441
14.4%
3450000 1739
17.4%
3440000 960
9.6%
3430000 1082
10.8%
3420000 1257
12.6%
3410000 958
9.6%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T08:24:13.565515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row3480000-112-2019-00010
2nd row3460000-112-2001-00316
3rd row3410000-112-2004-00020
4th row3430000-112-2018-00011
5th row3410000-112-2000-00010
ValueCountFrequency (%)
3480000-112-2019-00010 1
 
< 0.1%
3440000-112-2002-00002 1
 
< 0.1%
3470000-112-2017-00056 1
 
< 0.1%
3470000-112-2017-00009 1
 
< 0.1%
3460000-112-2004-00053 1
 
< 0.1%
3470000-112-2006-00052 1
 
< 0.1%
3420000-112-2001-00299 1
 
< 0.1%
3430000-112-2000-00055 1
 
< 0.1%
3450000-112-1990-00002 1
 
< 0.1%
3440000-112-1999-00102 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T08:24:14.417059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86322
39.2%
1 30659
 
13.9%
- 30000
 
13.6%
2 24107
 
11.0%
3 14402
 
6.5%
4 14054
 
6.4%
5 4797
 
2.2%
9 4725
 
2.1%
7 4349
 
2.0%
6 3934
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86322
45.4%
1 30659
 
16.1%
2 24107
 
12.7%
3 14402
 
7.6%
4 14054
 
7.4%
5 4797
 
2.5%
9 4725
 
2.5%
7 4349
 
2.3%
6 3934
 
2.1%
8 2651
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86322
39.2%
1 30659
 
13.9%
- 30000
 
13.6%
2 24107
 
11.0%
3 14402
 
6.5%
4 14054
 
6.4%
5 4797
 
2.2%
9 4725
 
2.1%
7 4349
 
2.0%
6 3934
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86322
39.2%
1 30659
 
13.9%
- 30000
 
13.6%
2 24107
 
11.0%
3 14402
 
6.5%
4 14054
 
6.4%
5 4797
 
2.2%
9 4725
 
2.1%
7 4349
 
2.0%
6 3934
 
1.8%

인허가일자
Real number (ℝ)

SKEWED 

Distinct3496
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20039693
Minimum199908
Maximum20220329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:14.836697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199908
5-th percentile19960419
Q120010426
median20020818
Q320060320
95-th percentile20180508
Maximum20220329
Range20020421
Interquartile range (IQR)49894

Descriptive statistics

Standard deviation207603.57
Coefficient of variation (CV)0.010359618
Kurtosis8343.6887
Mean20039693
Median Absolute Deviation (MAD)20007.5
Skewness-87.275973
Sum2.0039693 × 1011
Variance4.309924 × 1010
MonotonicityNot monotonic
2024-04-21T08:24:15.297448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010214 135
 
1.4%
20000904 50
 
0.5%
20010302 48
 
0.5%
20010303 44
 
0.4%
20010615 40
 
0.4%
20010705 38
 
0.4%
20010709 37
 
0.4%
20010706 36
 
0.4%
20010227 35
 
0.4%
20010710 35
 
0.4%
Other values (3486) 9502
95.0%
ValueCountFrequency (%)
199908 1
< 0.1%
19841124 1
< 0.1%
19841219 1
< 0.1%
19850128 1
< 0.1%
19850328 1
< 0.1%
19860123 1
< 0.1%
19880718 1
< 0.1%
19881201 1
< 0.1%
19881202 1
< 0.1%
19881228 1
< 0.1%
ValueCountFrequency (%)
20220329 1
 
< 0.1%
20220321 1
 
< 0.1%
20220318 1
 
< 0.1%
20220317 1
 
< 0.1%
20220316 1
 
< 0.1%
20220314 3
< 0.1%
20220311 1
 
< 0.1%
20220308 1
 
< 0.1%
20220307 2
< 0.1%
20220304 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8724 
1
1276 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8724
87.2%
1 1276
 
12.8%

Length

2024-04-21T08:24:15.714387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:16.008796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8724
87.2%
1 1276
 
12.8%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8724 
영업/정상
1276 

Length

Max length5
Median length2
Mean length2.3828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8724
87.2%
영업/정상 1276
 
12.8%

Length

2024-04-21T08:24:16.339145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:16.649461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8724
87.2%
영업/정상 1276
 
12.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8724 
1
1276 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 8724
87.2%
1 1276
 
12.8%

Length

2024-04-21T08:24:16.965503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:17.258559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8724
87.2%
1 1276
 
12.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8724 
영업
1276 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8724
87.2%
영업 1276
 
12.8%

Length

2024-04-21T08:24:17.575551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:17.868195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8724
87.2%
영업 1276
 
12.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct3390
Distinct (%)38.9%
Missing1276
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean20089846
Minimum19970109
Maximum20220401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:18.208167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970109
5-th percentile20030318
Q120050407
median20071221
Q320120716
95-th percentile20191227
Maximum20220401
Range250292
Interquartile range (IQR)70309.25

Descriptive statistics

Standard deviation51741.938
Coefficient of variation (CV)0.0025755269
Kurtosis-0.32139324
Mean20089846
Median Absolute Deviation (MAD)30298
Skewness0.8055362
Sum1.7526382 × 1011
Variance2.6772282 × 109
MonotonicityNot monotonic
2024-04-21T08:24:18.641661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040413 66
 
0.7%
20091209 46
 
0.5%
20090406 44
 
0.4%
20051229 29
 
0.3%
20050408 28
 
0.3%
20040723 28
 
0.3%
20091216 27
 
0.3%
20050310 26
 
0.3%
20050915 26
 
0.3%
20050407 26
 
0.3%
Other values (3380) 8378
83.8%
(Missing) 1276
 
12.8%
ValueCountFrequency (%)
19970109 1
< 0.1%
19970709 1
< 0.1%
19971007 1
< 0.1%
19981021 1
< 0.1%
19990303 1
< 0.1%
19990629 1
< 0.1%
19991029 1
< 0.1%
19991102 1
< 0.1%
20000122 1
< 0.1%
20000210 1
< 0.1%
ValueCountFrequency (%)
20220401 2
< 0.1%
20220331 1
 
< 0.1%
20220330 2
< 0.1%
20220325 1
 
< 0.1%
20220322 1
 
< 0.1%
20220317 1
 
< 0.1%
20220315 3
< 0.1%
20220314 1
 
< 0.1%
20220311 2
< 0.1%
20220310 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct6973
Distinct (%)91.2%
Missing2351
Missing (%)23.5%
Memory size156.2 KiB
2024-04-21T08:24:19.790346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.305269
Min length1

Characters and Unicode

Total characters78825
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6685 ?
Unique (%)87.4%

Sample

1st row7819938
2nd row053 2546502
3rd row053 3829661
4th row053 6342869
5th row053 9390010
ValueCountFrequency (%)
053 5705
39.4%
3829661 80
 
0.6%
943 40
 
0.3%
9661 36
 
0.2%
9439661 33
 
0.2%
7439661 31
 
0.2%
941 24
 
0.2%
322 18
 
0.1%
0019 17
 
0.1%
321 15
 
0.1%
Other values (7102) 8486
58.6%
2024-04-21T08:24:21.336617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13504
17.1%
3 11637
14.8%
0 10297
13.1%
6857
8.7%
6 6575
8.3%
2 6102
7.7%
7 5206
 
6.6%
1 5009
 
6.4%
4 4977
 
6.3%
9 4468
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71968
91.3%
Space Separator 6857
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13504
18.8%
3 11637
16.2%
0 10297
14.3%
6 6575
9.1%
2 6102
8.5%
7 5206
 
7.2%
1 5009
 
7.0%
4 4977
 
6.9%
9 4468
 
6.2%
8 4193
 
5.8%
Space Separator
ValueCountFrequency (%)
6857
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78825
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13504
17.1%
3 11637
14.8%
0 10297
13.1%
6857
8.7%
6 6575
8.3%
2 6102
7.7%
7 5206
 
6.6%
1 5009
 
6.4%
4 4977
 
6.3%
9 4468
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13504
17.1%
3 11637
14.8%
0 10297
13.1%
6857
8.7%
6 6575
8.3%
2 6102
7.7%
7 5206
 
6.6%
1 5009
 
6.4%
4 4977
 
6.3%
9 4468
 
5.7%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct61
Distinct (%)3.1%
Missing8027
Missing (%)80.3%
Infinite0
Infinite (%)0.0%
Mean2.3505727
Minimum0
Maximum496
Zeros252
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:21.752978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.3
Maximum496
Range496
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.370347
Coefficient of variation (CV)6.5389797
Kurtosis650.19848
Mean2.3505727
Median Absolute Deviation (MAD)0
Skewness23.330497
Sum4637.68
Variance236.24758
MonotonicityNot monotonic
2024-04-21T08:24:22.180928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 1293
 
12.9%
0.0 252
 
2.5%
3.3 149
 
1.5%
2.0 72
 
0.7%
3.0 50
 
0.5%
1.5 45
 
0.4%
1.44 14
 
0.1%
6.6 10
 
0.1%
4.0 9
 
0.1%
1.2 7
 
0.1%
Other values (51) 72
 
0.7%
(Missing) 8027
80.3%
ValueCountFrequency (%)
0.0 252
 
2.5%
0.25 1
 
< 0.1%
0.3 2
 
< 0.1%
0.4 1
 
< 0.1%
0.5 3
 
< 0.1%
1.0 1293
12.9%
1.03 1
 
< 0.1%
1.1 4
 
< 0.1%
1.2 7
 
0.1%
1.3 3
 
< 0.1%
ValueCountFrequency (%)
496.0 1
< 0.1%
320.1 1
< 0.1%
177.59 1
< 0.1%
165.3 1
< 0.1%
117.39 1
< 0.1%
100.0 2
< 0.1%
90.0 1
< 0.1%
57.01 1
< 0.1%
52.9 1
< 0.1%
47.52 1
< 0.1%

소재지우편번호
Real number (ℝ)

Distinct683
Distinct (%)6.9%
Missing54
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean704206.99
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:22.583093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700440
Q1702701
median703849
Q3705811
95-th percentile706852
Maximum711893
Range11883
Interquartile range (IQR)3110

Descriptive statistics

Standard deviation2512.2937
Coefficient of variation (CV)0.00356755
Kurtosis1.5716011
Mean704206.99
Median Absolute Deviation (MAD)1952
Skewness0.94826218
Sum7.0040428 × 109
Variance6311619.6
MonotonicityNot monotonic
2024-04-21T08:24:23.231987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 169
 
1.7%
706170 96
 
1.0%
704060 92
 
0.9%
705802 82
 
0.8%
704919 74
 
0.7%
702845 73
 
0.7%
700412 71
 
0.7%
702040 71
 
0.7%
704834 56
 
0.6%
702701 56
 
0.6%
Other values (673) 9106
91.1%
ValueCountFrequency (%)
700010 23
0.2%
700020 8
 
0.1%
700030 3
 
< 0.1%
700040 5
 
0.1%
700050 6
 
0.1%
700060 31
0.3%
700070 47
0.5%
700081 1
 
< 0.1%
700082 10
 
0.1%
700091 5
 
0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711891 12
0.1%
711874 21
0.2%
711873 17
0.2%
711872 25
0.2%
711871 1
 
< 0.1%
711864 26
0.3%
711863 6
 
0.1%
711862 7
 
0.1%
711861 9
 
0.1%

소재지전체주소
Text

Distinct8794
Distinct (%)88.0%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2024-04-21T08:24:24.755507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length51
Mean length22.152491
Min length14

Characters and Unicode

Total characters221392
Distinct characters459
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8008 ?
Unique (%)80.1%

Sample

1st row대구광역시 달성군 다사읍 매곡리 622 다사한일유앤아이 302동 107호
2nd row대구광역시 수성구 지산동 1183-1
3rd row대구광역시 중구 포정동 0021-0003
4th row대구광역시 서구 중리동 116-7
5th row대구광역시 중구 삼덕동2가 0050
ValueCountFrequency (%)
대구광역시 9995
22.7%
달서구 2074
 
4.7%
북구 1737
 
4.0%
수성구 1438
 
3.3%
동구 1258
 
2.9%
서구 1080
 
2.5%
남구 960
 
2.2%
중구 958
 
2.2%
대명동 691
 
1.6%
달성군 489
 
1.1%
Other values (8847) 23277
53.0%
2024-04-21T08:24:26.676192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43701
19.7%
구 19803
 
8.9%
동 11417
 
5.2%
1 11399
 
5.1%
대 11389
 
5.1%
시 10119
 
4.6%
역 10044
 
4.5%
광 10011
 
4.5%
- 7940
 
3.6%
0 7317
 
3.3%
Other values (449) 78252
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117766
53.2%
Decimal Number 50484
22.8%
Space Separator 43701
 
19.7%
Dash Punctuation 7940
 
3.6%
Open Punctuation 520
 
0.2%
Close Punctuation 507
 
0.2%
Other Punctuation 297
 
0.1%
Uppercase Letter 150
 
0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19803
16.8%
동 11417
 
9.7%
대 11389
 
9.7%
시 10119
 
8.6%
역 10044
 
8.5%
광 10011
 
8.5%
서 3457
 
2.9%
성 2771
 
2.4%
달 2615
 
2.2%
북 1874
 
1.6%
Other values (400) 34266
29.1%
Uppercase Letter
ValueCountFrequency (%)
A 38
25.3%
T 19
12.7%
P 17
11.3%
B 16
10.7%
L 13
 
8.7%
G 11
 
7.3%
C 10
 
6.7%
E 4
 
2.7%
H 3
 
2.0%
R 3
 
2.0%
Other values (10) 16
10.7%
Decimal Number
ValueCountFrequency (%)
1 11399
22.6%
0 7317
14.5%
2 6104
12.1%
3 4960
9.8%
4 4014
 
8.0%
5 3755
 
7.4%
6 3481
 
6.9%
7 3385
 
6.7%
9 3042
 
6.0%
8 3027
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
b 2
15.4%
c 2
15.4%
a 2
15.4%
p 1
 
7.7%
t 1
 
7.7%
m 1
 
7.7%
i 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 259
87.2%
. 24
 
8.1%
/ 12
 
4.0%
@ 1
 
0.3%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
43701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7940
100.0%
Open Punctuation
ValueCountFrequency (%)
( 520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 507
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117760
53.2%
Common 103463
46.7%
Latin 163
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19803
16.8%
동 11417
 
9.7%
대 11389
 
9.7%
시 10119
 
8.6%
역 10044
 
8.5%
광 10011
 
8.5%
서 3457
 
2.9%
성 2771
 
2.4%
달 2615
 
2.2%
북 1874
 
1.6%
Other values (399) 34260
29.1%
Latin
ValueCountFrequency (%)
A 38
23.3%
T 19
11.7%
P 17
10.4%
B 16
9.8%
L 13
 
8.0%
G 11
 
6.7%
C 10
 
6.1%
E 4
 
2.5%
H 3
 
1.8%
e 3
 
1.8%
Other values (18) 29
17.8%
Common
ValueCountFrequency (%)
43701
42.2%
1 11399
 
11.0%
- 7940
 
7.7%
0 7317
 
7.1%
2 6104
 
5.9%
3 4960
 
4.8%
4 4014
 
3.9%
5 3755
 
3.6%
6 3481
 
3.4%
7 3385
 
3.3%
Other values (11) 7407
 
7.2%
Han
ValueCountFrequency (%)
內 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117760
53.2%
ASCII 103626
46.8%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43701
42.2%
1 11399
 
11.0%
- 7940
 
7.7%
0 7317
 
7.1%
2 6104
 
5.9%
3 4960
 
4.8%
4 4014
 
3.9%
5 3755
 
3.6%
6 3481
 
3.4%
7 3385
 
3.3%
Other values (39) 7570
 
7.3%
Hangul
ValueCountFrequency (%)
구 19803
16.8%
동 11417
 
9.7%
대 11389
 
9.7%
시 10119
 
8.6%
역 10044
 
8.5%
광 10011
 
8.5%
서 3457
 
2.9%
성 2771
 
2.4%
달 2615
 
2.2%
북 1874
 
1.6%
Other values (399) 34260
29.1%
CJK
ValueCountFrequency (%)
內 6
100.0%

도로명전체주소
Text

MISSING 

Distinct3256
Distinct (%)92.8%
Missing6493
Missing (%)64.9%
Memory size156.2 KiB
2024-04-21T08:24:28.159453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length56
Mean length27.88024
Min length19

Characters and Unicode

Total characters97776
Distinct characters466
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3109 ?
Unique (%)88.7%

Sample

1st row대구광역시 달성군 다사읍 매곡로4길 9, 302동 1층 107호 (다사한일유앤아이)
2nd row대구광역시 중구 경상감영길 101 (포정동)
3rd row대구광역시 서구 평리로 245 (중리동)
4th row대구광역시 수성구 시지로3길 52 (시지동)
5th row대구광역시 달성군 화원읍 비슬로530길 24
ValueCountFrequency (%)
대구광역시 3507
 
17.6%
달서구 738
 
3.7%
1층 728
 
3.7%
북구 724
 
3.6%
동구 464
 
2.3%
수성구 398
 
2.0%
서구 328
 
1.7%
남구 312
 
1.6%
중구 302
 
1.5%
달성군 241
 
1.2%
Other values (3235) 12133
61.0%
2024-04-21T08:24:30.192255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16369
 
16.7%
구 7307
 
7.5%
대 4703
 
4.8%
동 4595
 
4.7%
1 3999
 
4.1%
시 3597
 
3.7%
역 3559
 
3.6%
광 3514
 
3.6%
로 3447
 
3.5%
) 3423
 
3.5%
Other values (456) 43263
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57970
59.3%
Space Separator 16369
 
16.7%
Decimal Number 14292
 
14.6%
Close Punctuation 3423
 
3.5%
Open Punctuation 3423
 
3.5%
Other Punctuation 1837
 
1.9%
Dash Punctuation 345
 
0.4%
Uppercase Letter 100
 
0.1%
Math Symbol 9
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7307
 
12.6%
대 4703
 
8.1%
동 4595
 
7.9%
시 3597
 
6.2%
역 3559
 
6.1%
광 3514
 
6.1%
로 3447
 
5.9%
길 1460
 
2.5%
서 1428
 
2.5%
달 1314
 
2.3%
Other values (412) 23046
39.8%
Uppercase Letter
ValueCountFrequency (%)
A 25
25.0%
B 18
18.0%
C 8
 
8.0%
G 7
 
7.0%
T 7
 
7.0%
S 5
 
5.0%
L 5
 
5.0%
E 4
 
4.0%
H 3
 
3.0%
P 3
 
3.0%
Other values (8) 15
15.0%
Decimal Number
ValueCountFrequency (%)
1 3999
28.0%
2 1974
13.8%
3 1451
 
10.2%
0 1256
 
8.8%
5 1174
 
8.2%
4 1162
 
8.1%
6 908
 
6.4%
7 870
 
6.1%
9 779
 
5.5%
8 719
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
t 1
12.5%
p 1
12.5%
a 1
12.5%
b 1
12.5%
m 1
12.5%
c 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1830
99.6%
. 5
 
0.3%
@ 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
16369
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57969
59.3%
Common 39698
40.6%
Latin 108
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7307
 
12.6%
대 4703
 
8.1%
동 4595
 
7.9%
시 3597
 
6.2%
역 3559
 
6.1%
광 3514
 
6.1%
로 3447
 
5.9%
길 1460
 
2.5%
서 1428
 
2.5%
달 1314
 
2.3%
Other values (411) 23045
39.8%
Latin
ValueCountFrequency (%)
A 25
23.1%
B 18
16.7%
C 8
 
7.4%
G 7
 
6.5%
T 7
 
6.5%
S 5
 
4.6%
L 5
 
4.6%
E 4
 
3.7%
H 3
 
2.8%
P 3
 
2.8%
Other values (15) 23
21.3%
Common
ValueCountFrequency (%)
16369
41.2%
1 3999
 
10.1%
) 3423
 
8.6%
( 3423
 
8.6%
2 1974
 
5.0%
, 1830
 
4.6%
3 1451
 
3.7%
0 1256
 
3.2%
5 1174
 
3.0%
4 1162
 
2.9%
Other values (9) 3637
 
9.2%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57967
59.3%
ASCII 39806
40.7%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16369
41.1%
1 3999
 
10.0%
) 3423
 
8.6%
( 3423
 
8.6%
2 1974
 
5.0%
, 1830
 
4.6%
3 1451
 
3.6%
0 1256
 
3.2%
5 1174
 
2.9%
4 1162
 
2.9%
Other values (34) 3745
 
9.4%
Hangul
ValueCountFrequency (%)
구 7307
 
12.6%
대 4703
 
8.1%
동 4595
 
7.9%
시 3597
 
6.2%
역 3559
 
6.1%
광 3514
 
6.1%
로 3447
 
5.9%
길 1460
 
2.5%
서 1428
 
2.5%
달 1314
 
2.3%
Other values (409) 23043
39.8%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
50.0%
ㅇ 1
50.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1141
Distinct (%)33.2%
Missing6564
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean42033.87
Minimum41002
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:30.612960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41122
Q141518
median41957
Q342620
95-th percentile42940
Maximum43023
Range2021
Interquartile range (IQR)1102

Descriptive statistics

Standard deviation586.60837
Coefficient of variation (CV)0.013955612
Kurtosis-1.2738255
Mean42033.87
Median Absolute Deviation (MAD)505
Skewness0.0026742515
Sum1.4442838 × 108
Variance344109.38
MonotonicityNot monotonic
2024-04-21T08:24:31.072786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42415 27
 
0.3%
41423 18
 
0.2%
41453 18
 
0.2%
42620 17
 
0.2%
42612 16
 
0.2%
41505 16
 
0.2%
41845 15
 
0.1%
41581 15
 
0.1%
41937 14
 
0.1%
41438 14
 
0.1%
Other values (1131) 3266
32.7%
(Missing) 6564
65.6%
ValueCountFrequency (%)
41002 5
0.1%
41005 1
 
< 0.1%
41007 12
0.1%
41008 8
0.1%
41017 1
 
< 0.1%
41020 1
 
< 0.1%
41021 1
 
< 0.1%
41022 1
 
< 0.1%
41025 1
 
< 0.1%
41026 2
 
< 0.1%
ValueCountFrequency (%)
43023 2
 
< 0.1%
43019 2
 
< 0.1%
43018 2
 
< 0.1%
43017 2
 
< 0.1%
43016 1
 
< 0.1%
43014 6
0.1%
43013 1
 
< 0.1%
43011 2
 
< 0.1%
43009 3
< 0.1%
43008 2
 
< 0.1%

사업장명
Text

Distinct8683
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T08:24:31.966810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.6165
Min length1

Characters and Unicode

Total characters66165
Distinct characters868
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7994 ?
Unique (%)79.9%

Sample

1st row씨유 다사유앤아이점
2nd row밀류막창
3rd row아세아
4th row씨유대구삼익뉴타운점
5th row경북대학병원(응급센터7층)
ValueCountFrequency (%)
자판기 217
 
1.9%
세븐일레븐 88
 
0.8%
주)휘닉스벤딩서비스 59
 
0.5%
이마트24 50
 
0.4%
씨유 44
 
0.4%
신우유통 37
 
0.3%
gs25 35
 
0.3%
pc방 28
 
0.3%
영남대학병원 24
 
0.2%
지에스(gs)25 22
 
0.2%
Other values (8932) 10567
94.6%
2024-04-21T08:24:33.277731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1994
 
3.0%
점 1683
 
2.5%
자 1515
 
2.3%
기 1511
 
2.3%
구 1496
 
2.3%
판 1339
 
2.0%
1182
 
1.8%
동 983
 
1.5%
식 924
 
1.4%
마 909
 
1.4%
Other values (858) 52629
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60525
91.5%
Decimal Number 1418
 
2.1%
Uppercase Letter 1416
 
2.1%
Space Separator 1182
 
1.8%
Close Punctuation 683
 
1.0%
Open Punctuation 679
 
1.0%
Lowercase Letter 153
 
0.2%
Other Punctuation 85
 
0.1%
Dash Punctuation 23
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1994
 
3.3%
점 1683
 
2.8%
자 1515
 
2.5%
기 1511
 
2.5%
구 1496
 
2.5%
판 1339
 
2.2%
동 983
 
1.6%
식 924
 
1.5%
마 909
 
1.5%
성 880
 
1.5%
Other values (792) 47291
78.1%
Uppercase Letter
ValueCountFrequency (%)
C 343
24.2%
G 203
14.3%
P 200
14.1%
S 194
13.7%
U 111
 
7.8%
K 53
 
3.7%
L 40
 
2.8%
A 31
 
2.2%
T 28
 
2.0%
O 26
 
1.8%
Other values (16) 187
13.2%
Lowercase Letter
ValueCountFrequency (%)
c 28
18.3%
p 23
15.0%
e 22
14.4%
o 15
9.8%
a 10
 
6.5%
s 8
 
5.2%
i 8
 
5.2%
t 5
 
3.3%
m 5
 
3.3%
l 5
 
3.3%
Other values (10) 24
15.7%
Decimal Number
ValueCountFrequency (%)
2 542
38.2%
4 251
17.7%
5 233
16.4%
1 155
 
10.9%
3 84
 
5.9%
0 56
 
3.9%
6 29
 
2.0%
8 27
 
1.9%
7 26
 
1.8%
9 15
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 59
69.4%
, 17
 
20.0%
& 5
 
5.9%
' 2
 
2.4%
/ 2
 
2.4%
Space Separator
ValueCountFrequency (%)
1182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 683
100.0%
Open Punctuation
ValueCountFrequency (%)
( 679
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60521
91.5%
Common 4070
 
6.2%
Latin 1570
 
2.4%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1994
 
3.3%
점 1683
 
2.8%
자 1515
 
2.5%
기 1511
 
2.5%
구 1496
 
2.5%
판 1339
 
2.2%
동 983
 
1.6%
식 924
 
1.5%
마 909
 
1.5%
성 880
 
1.5%
Other values (790) 47287
78.1%
Latin
ValueCountFrequency (%)
C 343
21.8%
G 203
12.9%
P 200
12.7%
S 194
12.4%
U 111
 
7.1%
K 53
 
3.4%
L 40
 
2.5%
A 31
 
2.0%
c 28
 
1.8%
T 28
 
1.8%
Other values (37) 339
21.6%
Common
ValueCountFrequency (%)
1182
29.0%
) 683
16.8%
( 679
16.7%
2 542
13.3%
4 251
 
6.2%
5 233
 
5.7%
1 155
 
3.8%
3 84
 
2.1%
. 59
 
1.4%
0 56
 
1.4%
Other values (9) 146
 
3.6%
Han
ValueCountFrequency (%)
內 3
75.0%
無 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60519
91.5%
ASCII 5639
 
8.5%
CJK 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1994
 
3.3%
점 1683
 
2.8%
자 1515
 
2.5%
기 1511
 
2.5%
구 1496
 
2.5%
판 1339
 
2.2%
동 983
 
1.6%
식 924
 
1.5%
마 909
 
1.5%
성 880
 
1.5%
Other values (788) 47285
78.1%
ASCII
ValueCountFrequency (%)
1182
21.0%
) 683
12.1%
( 679
12.0%
2 542
9.6%
C 343
 
6.1%
4 251
 
4.5%
5 233
 
4.1%
G 203
 
3.6%
P 200
 
3.5%
S 194
 
3.4%
Other values (55) 1129
20.0%
CJK
ValueCountFrequency (%)
內 3
75.0%
無 1
 
25.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㅌ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct5364
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0083246 × 1013
Minimum2.0020116 × 1013
Maximum2.0220401 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:33.684875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020116 × 1013
5-th percentile2.0020327 × 1013
Q12.0021106 × 1013
median2.0060412 × 1013
Q32.0130926 × 1013
95-th percentile2.0210106 × 1013
Maximum2.0220401 × 1013
Range2.0028514 × 1011
Interquartile range (IQR)1.0982011 × 1011

Descriptive statistics

Standard deviation6.4843667 × 1010
Coefficient of variation (CV)0.0032287443
Kurtosis-0.84977136
Mean2.0083246 × 1013
Median Absolute Deviation (MAD)3.97975 × 1010
Skewness0.75567251
Sum2.0083246 × 1017
Variance4.2047012 × 1021
MonotonicityNot monotonic
2024-04-21T08:24:34.155013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031218000000 148
 
1.5%
20021107000000 101
 
1.0%
20020122000000 80
 
0.8%
20020117000000 80
 
0.8%
20020121000000 76
 
0.8%
20020614000000 73
 
0.7%
20021028000000 67
 
0.7%
20020527000000 65
 
0.7%
20020522000000 64
 
0.6%
20021030000000 63
 
0.6%
Other values (5354) 9183
91.8%
ValueCountFrequency (%)
20020116000000 13
 
0.1%
20020117000000 80
0.8%
20020118000000 36
0.4%
20020121000000 76
0.8%
20020122000000 80
0.8%
20020123000000 48
0.5%
20020125000000 1
 
< 0.1%
20020128000000 2
 
< 0.1%
20020129000000 10
 
0.1%
20020204000000 17
 
0.2%
ValueCountFrequency (%)
20220401140700 1
< 0.1%
20220401100055 1
< 0.1%
20220331174611 1
< 0.1%
20220331140544 1
< 0.1%
20220330171905 1
< 0.1%
20220330145753 1
< 0.1%
20220330141854 1
< 0.1%
20220330134655 1
< 0.1%
20220330125520 1
< 0.1%
20220330125348 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8776 
U
1224 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8776
87.8%
U 1224
 
12.2%

Length

2024-04-21T08:24:34.581951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:34.875859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8776
87.8%
u 1224
 
12.2%

데이터갱신일자
Date

Distinct719
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-03 02:40:00
2024-04-21T08:24:35.208814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:24:35.630517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기영업
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

Length

2024-04-21T08:24:36.029623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:36.318080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7418
Distinct (%)79.2%
Missing635
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean342938.49
Minimum325831.39
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:36.622333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325831.39
5-th percentile335108.43
Q1339835.78
median342858.49
Q3345918.29
95-th percentile352768.58
Maximum358060.65
Range32229.256
Interquartile range (IQR)6082.5035

Descriptive statistics

Standard deviation4862.8607
Coefficient of variation (CV)0.014179979
Kurtosis0.60101785
Mean342938.49
Median Absolute Deviation (MAD)3047.7525
Skewness0.062481354
Sum3.2116189 × 109
Variance23647414
MonotonicityNot monotonic
2024-04-21T08:24:37.053560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343157.682044 54
 
0.5%
345141.357576 51
 
0.5%
344867.643963 29
 
0.3%
345549.11017 27
 
0.3%
342935.432334 17
 
0.2%
339243.983122 16
 
0.2%
344997.585301 15
 
0.1%
343461.958736 14
 
0.1%
345032.238221 14
 
0.1%
339096.139718 13
 
0.1%
Other values (7408) 9115
91.1%
(Missing) 635
 
6.3%
ValueCountFrequency (%)
325831.391262 1
< 0.1%
326154.899807 1
< 0.1%
326269.666487 1
< 0.1%
326417.272694 1
< 0.1%
326610.275967 1
< 0.1%
326635.578062 1
< 0.1%
326660.851514 1
< 0.1%
326703.14585 1
< 0.1%
326755.194077 2
< 0.1%
326766.322228 1
< 0.1%
ValueCountFrequency (%)
358060.647419 1
< 0.1%
356668.763448 1
< 0.1%
356589.560791 2
< 0.1%
356578.373419 1
< 0.1%
356533.072677 1
< 0.1%
356521.273092 1
< 0.1%
356519.71742 1
< 0.1%
356508.020702 1
< 0.1%
356484.612255 1
< 0.1%
356431.884326 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7419
Distinct (%)79.2%
Missing635
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean263553.14
Minimum238029.01
Maximum278336.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:37.481708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238029.01
5-th percentile257712.82
Q1261444.48
median263627.91
Q3265745.21
95-th percentile270815.23
Maximum278336.22
Range40307.217
Interquartile range (IQR)4300.7256

Descriptive statistics

Standard deviation4247.19
Coefficient of variation (CV)0.016115118
Kurtosis4.7606211
Mean263553.14
Median Absolute Deviation (MAD)2156.8338
Skewness-0.86444414
Sum2.4681752 × 109
Variance18038623
MonotonicityNot monotonic
2024-04-21T08:24:37.951134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261957.795169 54
 
0.5%
267096.362462 51
 
0.5%
264091.210417 29
 
0.3%
268620.845678 27
 
0.3%
264310.975711 17
 
0.2%
268026.454531 16
 
0.2%
268604.350566 15
 
0.1%
262949.871621 14
 
0.1%
262466.933945 14
 
0.1%
265132.987974 13
 
0.1%
Other values (7409) 9115
91.1%
(Missing) 635
 
6.3%
ValueCountFrequency (%)
238029.007127 1
< 0.1%
239380.163891 1
< 0.1%
239687.676988 1
< 0.1%
240209.547189 1
< 0.1%
240270.873923 1
< 0.1%
240405.052319 1
< 0.1%
240460.074049 1
< 0.1%
240550.011807 1
< 0.1%
240757.761547 1
< 0.1%
240930.669713 1
< 0.1%
ValueCountFrequency (%)
278336.223852 3
< 0.1%
278318.296599 1
 
< 0.1%
278269.027313 1
 
< 0.1%
278149.556874 2
< 0.1%
278148.233339 1
 
< 0.1%
278117.387967 1
 
< 0.1%
278116.5272 1
 
< 0.1%
278081.466697 1
 
< 0.1%
278080.761551 1
 
< 0.1%
278068.782101 2
< 0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기영업
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

Length

2024-04-21T08:24:38.302177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:38.576712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9634 
0
 
366

Length

Max length4
Median length4
Mean length3.8902
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9634
96.3%
0 366
 
3.7%

Length

2024-04-21T08:24:38.913397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:39.229682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9634
96.3%
0 366
 
3.7%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9633 
0
 
366
1
 
1

Length

Max length4
Median length4
Mean length3.8899
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9633
96.3%
0 366
 
3.7%
1 1
 
< 0.1%

Length

2024-04-21T08:24:39.558179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:39.875437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9633
96.3%
0 366
 
3.7%
1 1
 
< 0.1%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-21T08:24:40.289361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-04-21T08:24:41.343430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8156 
상수도전용
1826 
간이상수도
 
13
지하수전용
 
3
전용상수도(특정시설의 자가용 수도)
 
2

Length

Max length19
Median length4
Mean length4.1872
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8156
81.6%
상수도전용 1826
 
18.3%
간이상수도 13
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%

Length

2024-04-21T08:24:41.756055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:42.093577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8156
81.5%
상수도전용 1826
 
18.3%
간이상수도 13
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9663 
0
 
337

Length

Max length4
Median length4
Mean length3.8989
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9663
96.6%
0 337
 
3.4%

Length

2024-04-21T08:24:42.474101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:42.788063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9663
96.6%
0 337
 
3.4%

본사종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6586 
<NA>
3396 
1
 
17
500
 
1

Length

Max length4
Median length1
Mean length2.019
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6586
65.9%
<NA> 3396
34.0%
1 17
 
0.2%
500 1
 
< 0.1%

Length

2024-04-21T08:24:43.134834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:43.466984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6586
65.9%
na 3396
34.0%
1 17
 
0.2%
500 1
 
< 0.1%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6597 
<NA>
3396 
1
 
7

Length

Max length4
Median length1
Mean length2.0188
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6597
66.0%
<NA> 3396
34.0%
1 7
 
0.1%

Length

2024-04-21T08:24:43.837653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:44.160183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6597
66.0%
na 3396
34.0%
1 7
 
0.1%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6447 
<NA>
3396 
1
 
153
2
 
4

Length

Max length4
Median length1
Mean length2.0188
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6447
64.5%
<NA> 3396
34.0%
1 153
 
1.5%
2 4
 
< 0.1%

Length

2024-04-21T08:24:44.518968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:44.848286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6447
64.5%
na 3396
34.0%
1 153
 
1.5%
2 4
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6600 
<NA>
3396 
1
 
3
2
 
1

Length

Max length4
Median length1
Mean length2.0188
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6600
66.0%
<NA> 3396
34.0%
1 3
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-21T08:24:45.218331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:45.547708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6600
66.0%
na 3396
34.0%
1 3
 
< 0.1%
2 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7521 
자가
2029 
임대
 
450

Length

Max length4
Median length4
Mean length3.5042
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7521
75.2%
자가 2029
 
20.3%
임대 450
 
4.5%

Length

2024-04-21T08:24:45.936784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:24:46.278314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7521
75.2%
자가 2029
 
20.3%
임대 450
 
4.5%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing8625
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean256730.91
Minimum0
Maximum1 × 108
Zeros1366
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:46.587256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1 × 108
Range1 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4256886.9
Coefficient of variation (CV)16.581124
Kurtosis400.97317
Mean256730.91
Median Absolute Deviation (MAD)0
Skewness19.499027
Sum3.53005 × 108
Variance1.8121086 × 1013
MonotonicityNot monotonic
2024-04-21T08:24:46.960465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1366
 
13.7%
80000000 2
 
< 0.1%
30000000 2
 
< 0.1%
5000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
100000000 1
 
< 0.1%
15000000 1
 
< 0.1%
(Missing) 8625
86.2%
ValueCountFrequency (%)
0 1366
13.7%
5000 1
 
< 0.1%
8000000 1
 
< 0.1%
10000000 1
 
< 0.1%
15000000 1
 
< 0.1%
30000000 2
 
< 0.1%
80000000 2
 
< 0.1%
100000000 1
 
< 0.1%
ValueCountFrequency (%)
100000000 1
 
< 0.1%
80000000 2
 
< 0.1%
30000000 2
 
< 0.1%
15000000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
5000 1
 
< 0.1%
0 1366
13.7%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.6%
Missing8626
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean8297.1215
Minimum0
Maximum8000000
Zeros1366
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:47.304552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8000000
Range8000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation219987.11
Coefficient of variation (CV)26.513666
Kurtosis1271.6944
Mean8297.1215
Median Absolute Deviation (MAD)0
Skewness35.115807
Sum11400245
Variance4.8394327 × 1010
MonotonicityNot monotonic
2024-04-21T08:24:47.685912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1366
 
13.7%
200000 2
 
< 0.1%
245 1
 
< 0.1%
600000 1
 
< 0.1%
500000 1
 
< 0.1%
8000000 1
 
< 0.1%
1100000 1
 
< 0.1%
800000 1
 
< 0.1%
(Missing) 8626
86.3%
ValueCountFrequency (%)
0 1366
13.7%
245 1
 
< 0.1%
200000 2
 
< 0.1%
500000 1
 
< 0.1%
600000 1
 
< 0.1%
800000 1
 
< 0.1%
1100000 1
 
< 0.1%
8000000 1
 
< 0.1%
ValueCountFrequency (%)
8000000 1
 
< 0.1%
1100000 1
 
< 0.1%
800000 1
 
< 0.1%
600000 1
 
< 0.1%
500000 1
 
< 0.1%
200000 2
 
< 0.1%
245 1
 
< 0.1%
0 1366
13.7%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-04-21T08:24:48.011477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.042009
Minimum0
Maximum62.42
Zeros9874
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:24:48.287895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum62.42
Range62.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0425281
Coefficient of variation (CV)24.81678
Kurtosis2261.9315
Mean0.042009
Median Absolute Deviation (MAD)0
Skewness44.875382
Sum420.09
Variance1.0868649
MonotonicityNot monotonic
2024-04-21T08:24:48.662497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 9874
98.7%
1.0 96
 
1.0%
2.0 9
 
0.1%
3.0 4
 
< 0.1%
4.0 3
 
< 0.1%
1.5 2
 
< 0.1%
9.66 1
 
< 0.1%
7.0 1
 
< 0.1%
44.22 1
 
< 0.1%
20.4 1
 
< 0.1%
Other values (8) 8
 
0.1%
ValueCountFrequency (%)
0.0 9874
98.7%
1.0 96
 
1.0%
1.5 2
 
< 0.1%
2.0 9
 
0.1%
3.0 4
 
< 0.1%
3.3 1
 
< 0.1%
4.0 3
 
< 0.1%
6.0 1
 
< 0.1%
7.0 1
 
< 0.1%
9.0 1
 
< 0.1%
ValueCountFrequency (%)
62.42 1
< 0.1%
50.9 1
< 0.1%
44.22 1
< 0.1%
26.17 1
< 0.1%
25.02 1
< 0.1%
20.4 1
< 0.1%
15.0 1
< 0.1%
9.66 1
< 0.1%
9.0 1
< 0.1%
7.0 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1179611797식품자동판매기업07_22_10_P34800003480000-112-2019-0001020190617<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1.0711812대구광역시 달성군 다사읍 매곡리 622 다사한일유앤아이 302동 107호대구광역시 달성군 다사읍 매곡로4길 9, 302동 1층 107호 (다사한일유앤아이)42908씨유 다사유앤아이점20210120171712U2021-01-22 02:40:00.0식품자동판매기영업331283.114694263635.609125식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
83388339식품자동판매기업07_22_10_P34600003460000-112-2001-0031620010228<NA>3폐업2폐업20030520<NA><NA><NA>7819938<NA>706844대구광역시 수성구 지산동 1183-1<NA><NA>밀류막창20020118000000I2018-08-31 23:59:59.0식품자동판매기영업346827.735685259346.840213식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
10901091식품자동판매기업07_22_10_P34100003410000-112-2004-0002020040406<NA>1영업/정상1영업<NA><NA><NA><NA>053 2546502<NA>700010대구광역시 중구 포정동 0021-0003대구광역시 중구 경상감영길 101 (포정동)41918아세아20120827175635I2018-08-31 23:59:59.0식품자동판매기영업343800.362369264745.47733식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
26692670식품자동판매기업07_22_10_P34300003430000-112-2018-0001120180821<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>703831대구광역시 서구 중리동 116-7대구광역시 서구 평리로 245 (중리동)41838씨유대구삼익뉴타운점20201005103718U2020-10-07 02:40:00.0식품자동판매기영업339948.496533263618.825604식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
8586식품자동판매기업07_22_10_P34100003410000-112-2000-0001020000626<NA>3폐업2폐업20091216<NA><NA><NA>053 3829661<NA>700412대구광역시 중구 삼덕동2가 0050<NA><NA>경북대학병원(응급센터7층)20091216115338I2018-08-31 23:59:59.0식품자동판매기영업344867.643963264091.210417식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
96359636식품자동판매기업07_22_10_P34700003470000-112-2001-0024720010615<NA>3폐업2폐업20040213<NA><NA><NA>053 6342869<NA>704834대구광역시 달서구 진천동 106-9<NA><NA>일호선식당20020515000000I2018-08-31 23:59:59.0식품자동판매기영업338160.819686258331.805001식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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