Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells133087
Missing cells (%)28.3%
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

Description22년07월_6270000_대구광역시_07_22_10_P_식품자동판매기업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094050&dataSetDetailId=DDI_0000094072&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 (73.8%)Imbalance
여성종사자수 is highly imbalanced (83.4%)Imbalance
급수시설구분명 is highly imbalanced (72.7%)Imbalance
총직원수 is highly imbalanced (75.2%)Imbalance
공장생산직직원수 is highly imbalanced (53.8%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1253 (12.5%) 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 2386 (23.9%) missing valuesMissing
소재지면적 has 7956 (79.6%) missing valuesMissing
도로명전체주소 has 6466 (64.7%) missing valuesMissing
도로명우편번호 has 6540 (65.4%) missing valuesMissing
좌표정보(X) has 623 (6.2%) missing valuesMissing
좌표정보(Y) has 623 (6.2%) missing valuesMissing
영업장주변구분명 has 9999 (> 99.9%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
보증액 has 8586 (85.9%) missing valuesMissing
월세액 has 8588 (85.9%) 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 = -87.04507986)Skewed
소재지면적 is highly skewed (γ1 = 22.91321643)Skewed
월세액 is highly skewed (γ1 = 21.56683695)Skewed
시설총규모 is highly skewed (γ1 = 66.93248987)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 261 (2.6%) zerosZeros
보증액 has 1405 (14.1%) zerosZeros
월세액 has 1405 (14.1%) zerosZeros
시설총규모 has 9883 (98.8%) zerosZeros

Reproduction

Analysis started2024-04-18 02:09:43.593764
Analysis finished2024-04-18 02:09:45.245120
Duration1.65 second
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%
Mean5942.7532
Minimum2
Maximum11895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:45.301113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile611.9
Q12989.75
median5935.5
Q38900.25
95-th percentile11288.05
Maximum11895
Range11893
Interquartile range (IQR)5910.5

Descriptive statistics

Standard deviation3418.7012
Coefficient of variation (CV)0.57527228
Kurtosis-1.1925739
Mean5942.7532
Median Absolute Deviation (MAD)2956
Skewness0.0041549832
Sum59427532
Variance11687518
MonotonicityNot monotonic
2024-04-18T11:09:45.409733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122 1
 
< 0.1%
1090 1
 
< 0.1%
6041 1
 
< 0.1%
10467 1
 
< 0.1%
6946 1
 
< 0.1%
8021 1
 
< 0.1%
7563 1
 
< 0.1%
4125 1
 
< 0.1%
8089 1
 
< 0.1%
1149 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
11895 1
< 0.1%
11893 1
< 0.1%
11892 1
< 0.1%
11891 1
< 0.1%
11890 1
< 0.1%
11889 1
< 0.1%
11888 1
< 0.1%
11887 1
< 0.1%
11886 1
< 0.1%
11885 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

2024-04-18T11:09:45.520824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:45.611333image/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

2024-04-18T11:09:45.703820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:45.773328image/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%
Mean3446238
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:45.837824image/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 deviation21056.393
Coefficient of variation (CV)0.0061099649
Kurtosis-1.1652965
Mean3446238
Median Absolute Deviation (MAD)20000
Skewness-0.23672595
Sum3.446238 × 1010
Variance4.4337169 × 108
MonotonicityNot monotonic
2024-04-18T11:09:45.929036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2050
20.5%
3450000 1735
17.3%
3460000 1440
14.4%
3420000 1304
13.0%
3430000 1109
11.1%
3440000 965
9.7%
3410000 914
9.1%
3480000 483
 
4.8%
ValueCountFrequency (%)
3410000 914
9.1%
3420000 1304
13.0%
3430000 1109
11.1%
3440000 965
9.7%
3450000 1735
17.3%
3460000 1440
14.4%
3470000 2050
20.5%
3480000 483
 
4.8%
ValueCountFrequency (%)
3480000 483
 
4.8%
3470000 2050
20.5%
3460000 1440
14.4%
3450000 1735
17.3%
3440000 965
9.7%
3430000 1109
11.1%
3420000 1304
13.0%
3410000 914
9.1%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T11:09:46.096991image/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 row3410000-112-2002-00008
2nd row3460000-112-2007-00053
3rd row3430000-112-2005-00034
4th row3420000-112-2001-00368
5th row3440000-112-2004-00059
ValueCountFrequency (%)
3410000-112-2002-00008 1
 
< 0.1%
3440000-112-2005-00029 1
 
< 0.1%
3460000-112-2001-00062 1
 
< 0.1%
3450000-112-2006-00009 1
 
< 0.1%
3450000-112-1990-00003 1
 
< 0.1%
3470000-112-2007-00043 1
 
< 0.1%
3450000-112-2011-00003 1
 
< 0.1%
3460000-112-2001-00247 1
 
< 0.1%
3460000-112-2009-00006 1
 
< 0.1%
3410000-112-2004-00020 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T11:09:46.362511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86371
39.3%
1 30640
 
13.9%
- 30000
 
13.6%
2 24163
 
11.0%
3 14423
 
6.6%
4 14034
 
6.4%
5 4793
 
2.2%
9 4731
 
2.2%
7 4345
 
2.0%
6 3873
 
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 86371
45.5%
1 30640
 
16.1%
2 24163
 
12.7%
3 14423
 
7.6%
4 14034
 
7.4%
5 4793
 
2.5%
9 4731
 
2.5%
7 4345
 
2.3%
6 3873
 
2.0%
8 2627
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86371
39.3%
1 30640
 
13.9%
- 30000
 
13.6%
2 24163
 
11.0%
3 14423
 
6.6%
4 14034
 
6.4%
5 4793
 
2.2%
9 4731
 
2.2%
7 4345
 
2.0%
6 3873
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86371
39.3%
1 30640
 
13.9%
- 30000
 
13.6%
2 24163
 
11.0%
3 14423
 
6.6%
4 14034
 
6.4%
5 4793
 
2.2%
9 4731
 
2.2%
7 4345
 
2.0%
6 3873
 
1.8%

인허가일자
Real number (ℝ)

SKEWED 

Distinct3515
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20040090
Minimum199908
Maximum20220726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:46.983418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199908
5-th percentile19960426
Q120010425
median20020808
Q320060329
95-th percentile20180525
Maximum20220726
Range20020818
Interquartile range (IQR)49904.25

Descriptive statistics

Standard deviation207790.34
Coefficient of variation (CV)0.010368733
Kurtosis8314.3859
Mean20040090
Median Absolute Deviation (MAD)20090
Skewness-87.04508
Sum2.004009 × 1011
Variance4.3176824 × 1010
MonotonicityNot monotonic
2024-04-18T11:09:47.101925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010214 129
 
1.3%
20000904 49
 
0.5%
20010302 49
 
0.5%
20010615 43
 
0.4%
20010303 42
 
0.4%
20010710 41
 
0.4%
20010709 40
 
0.4%
20010705 37
 
0.4%
20010706 37
 
0.4%
20010628 37
 
0.4%
Other values (3505) 9496
95.0%
ValueCountFrequency (%)
199908 1
< 0.1%
19841219 1
< 0.1%
19850116 1
< 0.1%
19850128 1
< 0.1%
19850810 1
< 0.1%
19860123 1
< 0.1%
19880718 1
< 0.1%
19881201 1
< 0.1%
19881202 1
< 0.1%
19881228 1
< 0.1%
ValueCountFrequency (%)
20220726 1
< 0.1%
20220725 1
< 0.1%
20220722 1
< 0.1%
20220721 1
< 0.1%
20220715 1
< 0.1%
20220714 1
< 0.1%
20220713 1
< 0.1%
20220711 1
< 0.1%
20220708 1
< 0.1%
20220704 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
8747 
1
1253 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8747
87.5%
1 1253
 
12.5%

Length

2024-04-18T11:09:47.210340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:47.302361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8747
87.5%
1 1253
 
12.5%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8747 
영업/정상
1253 

Length

Max length5
Median length2
Mean length2.3759
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8747
87.5%
영업/정상 1253
 
12.5%

Length

2024-04-18T11:09:47.392266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:47.470812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8747
87.5%
영업/정상 1253
 
12.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8747 
1
1253 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8747
87.5%
1 1253
 
12.5%

Length

2024-04-18T11:09:47.556295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:47.630614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8747
87.5%
1 1253
 
12.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8747 
영업
1253 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8747
87.5%
영업 1253
 
12.5%

Length

2024-04-18T11:09:47.709680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:47.785158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8747
87.5%
영업 1253
 
12.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct3438
Distinct (%)39.3%
Missing1253
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean20090463
Minimum19970109
Maximum20220725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:47.877968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970109
5-th percentile20030317
Q120050407
median20071228
Q320120905
95-th percentile20200127
Maximum20220725
Range250616
Interquartile range (IQR)70498

Descriptive statistics

Standard deviation52435.772
Coefficient of variation (CV)0.0026099833
Kurtosis-0.32780058
Mean20090463
Median Absolute Deviation (MAD)30315
Skewness0.80696493
Sum1.7573128 × 1011
Variance2.7495102 × 109
MonotonicityNot monotonic
2024-04-18T11:09:47.991970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040413 70
 
0.7%
20091209 43
 
0.4%
20090406 42
 
0.4%
20051229 34
 
0.3%
20091216 30
 
0.3%
20050408 29
 
0.3%
20040723 27
 
0.3%
20050310 26
 
0.3%
20050407 26
 
0.3%
20191227 24
 
0.2%
Other values (3428) 8396
84.0%
(Missing) 1253
 
12.5%
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 (%)
20220725 1
< 0.1%
20220722 1
< 0.1%
20220721 1
< 0.1%
20220720 1
< 0.1%
20220719 1
< 0.1%
20220711 2
< 0.1%
20220705 1
< 0.1%
20220702 1
< 0.1%
20220701 1
< 0.1%
20220627 2
< 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 

Distinct6947
Distinct (%)91.2%
Missing2386
Missing (%)23.9%
Memory size156.2 KiB
2024-04-18T11:09:48.251056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.314946
Min length1

Characters and Unicode

Total characters78538
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

Unique6665 ?
Unique (%)87.5%

Sample

1st row053 4239587
2nd row053 7945025
3rd row053 5244666
4th row053 9534025
5th row053 4730353
ValueCountFrequency (%)
053 5704
39.4%
3829661 78
 
0.5%
943 40
 
0.3%
9661 37
 
0.3%
9439661 36
 
0.2%
7439661 30
 
0.2%
941 30
 
0.2%
0019 20
 
0.1%
322 17
 
0.1%
324 16
 
0.1%
Other values (7089) 8477
58.5%
2024-04-18T11:09:48.624996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13452
17.1%
3 11621
14.8%
0 10206
13.0%
6895
8.8%
6 6585
8.4%
2 6016
7.7%
7 5054
 
6.4%
4 4989
 
6.4%
1 4959
 
6.3%
9 4526
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71643
91.2%
Space Separator 6895
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13452
18.8%
3 11621
16.2%
0 10206
14.2%
6 6585
9.2%
2 6016
8.4%
7 5054
 
7.1%
4 4989
 
7.0%
1 4959
 
6.9%
9 4526
 
6.3%
8 4235
 
5.9%
Space Separator
ValueCountFrequency (%)
6895
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78538
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13452
17.1%
3 11621
14.8%
0 10206
13.0%
6895
8.8%
6 6585
8.4%
2 6016
7.7%
7 5054
 
6.4%
4 4989
 
6.4%
1 4959
 
6.3%
9 4526
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13452
17.1%
3 11621
14.8%
0 10206
13.0%
6895
8.8%
6 6585
8.4%
2 6016
7.7%
7 5054
 
6.4%
4 4989
 
6.4%
1 4959
 
6.3%
9 4526
 
5.8%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct64
Distinct (%)3.1%
Missing7956
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean2.3611497
Minimum0
Maximum496
Zeros261
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:48.743409image/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 deviation15.226212
Coefficient of variation (CV)6.4486431
Kurtosis638.03245
Mean2.3611497
Median Absolute Deviation (MAD)0
Skewness22.913216
Sum4826.19
Variance231.83753
MonotonicityNot monotonic
2024-04-18T11:09:48.856847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 1343
 
13.4%
0.0 261
 
2.6%
3.3 162
 
1.6%
2.0 69
 
0.7%
1.5 47
 
0.5%
3.0 46
 
0.5%
1.44 13
 
0.1%
6.6 12
 
0.1%
4.0 10
 
0.1%
1.2 7
 
0.1%
Other values (54) 74
 
0.7%
(Missing) 7956
79.6%
ValueCountFrequency (%)
0.0 261
 
2.6%
0.25 1
 
< 0.1%
0.3 2
 
< 0.1%
0.4 1
 
< 0.1%
0.5 5
 
0.1%
1.0 1343
13.4%
1.03 1
 
< 0.1%
1.1 4
 
< 0.1%
1.2 7
 
0.1%
1.3 2
 
< 0.1%
ValueCountFrequency (%)
496.0 1
< 0.1%
303.0 1
< 0.1%
177.59 1
< 0.1%
165.3 1
< 0.1%
163.66 1
< 0.1%
104.0 1
< 0.1%
100.0 1
< 0.1%
90.0 1
< 0.1%
73.85 1
< 0.1%
52.9 1
< 0.1%

소재지우편번호
Real number (ℝ)

Distinct684
Distinct (%)6.9%
Missing60
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean704201.88
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:48.963194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700718
Q1702701
median703848
Q3705810
95-th percentile706852
Maximum711893
Range11883
Interquartile range (IQR)3109

Descriptive statistics

Standard deviation2494.9147
Coefficient of variation (CV)0.003542897
Kurtosis1.598664
Mean704201.88
Median Absolute Deviation (MAD)1953
Skewness0.95247983
Sum6.9997667 × 109
Variance6224599.5
MonotonicityNot monotonic
2024-04-18T11:09:49.076308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 157
 
1.6%
706170 94
 
0.9%
704060 93
 
0.9%
705802 83
 
0.8%
702040 73
 
0.7%
700412 71
 
0.7%
702845 71
 
0.7%
704919 68
 
0.7%
704834 59
 
0.6%
702886 54
 
0.5%
Other values (674) 9117
91.2%
(Missing) 60
 
0.6%
ValueCountFrequency (%)
700010 23
0.2%
700020 8
 
0.1%
700030 3
 
< 0.1%
700040 4
 
< 0.1%
700050 5
 
0.1%
700060 34
0.3%
700070 44
0.4%
700082 10
 
0.1%
700091 6
 
0.1%
700092 39
0.4%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711891 13
0.1%
711874 18
0.2%
711873 16
0.2%
711872 27
0.3%
711871 1
 
< 0.1%
711864 29
0.3%
711863 6
 
0.1%
711862 5
 
0.1%
711861 8
 
0.1%

소재지전체주소
Text

Distinct8809
Distinct (%)88.2%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2024-04-18T11:09:49.393945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length51
Mean length22.058841
Min length16

Characters and Unicode

Total characters220434
Distinct characters462
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

Unique8032 ?
Unique (%)80.4%

Sample

1st row대구광역시 중구 삼덕동2가 0223-0001
2nd row대구광역시 수성구 신매동 567-46 (2층계단)
3rd row대구광역시 서구 비산동 208-1
4th row대구광역시 동구 신암동 67
5th row대구광역시 남구 봉덕동 959-10 (대봉로 140)
ValueCountFrequency (%)
대구광역시 9994
22.8%
달서구 2050
 
4.7%
북구 1732
 
4.0%
수성구 1437
 
3.3%
동구 1305
 
3.0%
서구 1107
 
2.5%
남구 965
 
2.2%
중구 914
 
2.1%
대명동 710
 
1.6%
달성군 483
 
1.1%
Other values (8838) 23138
52.8%
2024-04-18T11:09:49.840813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43577
19.8%
구 19789
 
9.0%
동 11457
 
5.2%
대 11378
 
5.2%
1 11310
 
5.1%
시 10115
 
4.6%
역 10042
 
4.6%
광 10008
 
4.5%
- 7937
 
3.6%
0 7140
 
3.2%
Other values (452) 77681
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117252
53.2%
Decimal Number 50204
22.8%
Space Separator 43577
 
19.8%
Dash Punctuation 7937
 
3.6%
Open Punctuation 510
 
0.2%
Close Punctuation 501
 
0.2%
Other Punctuation 282
 
0.1%
Uppercase Letter 147
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19789
16.9%
동 11457
 
9.8%
대 11378
 
9.7%
시 10115
 
8.6%
역 10042
 
8.6%
광 10008
 
8.5%
서 3433
 
2.9%
성 2749
 
2.3%
달 2586
 
2.2%
북 1866
 
1.6%
Other values (404) 33829
28.9%
Uppercase Letter
ValueCountFrequency (%)
A 38
25.9%
B 17
11.6%
T 16
10.9%
P 15
 
10.2%
L 14
 
9.5%
G 14
 
9.5%
C 10
 
6.8%
E 4
 
2.7%
M 3
 
2.0%
R 3
 
2.0%
Other values (10) 13
 
8.8%
Decimal Number
ValueCountFrequency (%)
1 11310
22.5%
0 7140
14.2%
2 6089
12.1%
3 4965
9.9%
4 3954
 
7.9%
5 3781
 
7.5%
6 3523
 
7.0%
7 3350
 
6.7%
8 3067
 
6.1%
9 3025
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
a 2
15.4%
b 2
15.4%
c 2
15.4%
t 1
 
7.7%
m 1
 
7.7%
p 1
 
7.7%
i 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 246
87.2%
. 28
 
9.9%
/ 7
 
2.5%
& 1
 
0.4%
Space Separator
ValueCountFrequency (%)
43577
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7937
100.0%
Open Punctuation
ValueCountFrequency (%)
( 510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 501
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117246
53.2%
Common 103022
46.7%
Latin 160
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19789
16.9%
동 11457
 
9.8%
대 11378
 
9.7%
시 10115
 
8.6%
역 10042
 
8.6%
광 10008
 
8.5%
서 3433
 
2.9%
성 2749
 
2.3%
달 2586
 
2.2%
북 1866
 
1.6%
Other values (403) 33823
28.8%
Latin
ValueCountFrequency (%)
A 38
23.8%
B 17
10.6%
T 16
10.0%
P 15
 
9.4%
L 14
 
8.8%
G 14
 
8.8%
C 10
 
6.2%
E 4
 
2.5%
e 3
 
1.9%
M 3
 
1.9%
Other values (18) 26
16.2%
Common
ValueCountFrequency (%)
43577
42.3%
1 11310
 
11.0%
- 7937
 
7.7%
0 7140
 
6.9%
2 6089
 
5.9%
3 4965
 
4.8%
4 3954
 
3.8%
5 3781
 
3.7%
6 3523
 
3.4%
7 3350
 
3.3%
Other values (10) 7396
 
7.2%
Han
ValueCountFrequency (%)
內 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117246
53.2%
ASCII 103182
46.8%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43577
42.2%
1 11310
 
11.0%
- 7937
 
7.7%
0 7140
 
6.9%
2 6089
 
5.9%
3 4965
 
4.8%
4 3954
 
3.8%
5 3781
 
3.7%
6 3523
 
3.4%
7 3350
 
3.2%
Other values (38) 7556
 
7.3%
Hangul
ValueCountFrequency (%)
구 19789
16.9%
동 11457
 
9.8%
대 11378
 
9.7%
시 10115
 
8.6%
역 10042
 
8.6%
광 10008
 
8.5%
서 3433
 
2.9%
성 2749
 
2.3%
달 2586
 
2.2%
북 1866
 
1.6%
Other values (403) 33823
28.8%
CJK
ValueCountFrequency (%)
內 6
100.0%

도로명전체주소
Text

MISSING 

Distinct3278
Distinct (%)92.8%
Missing6466
Missing (%)64.7%
Memory size156.2 KiB
2024-04-18T11:09:50.164220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length58
Mean length27.86644
Min length19

Characters and Unicode

Total characters98480
Distinct characters457
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

Unique3135 ?
Unique (%)88.7%

Sample

1st row대구광역시 동구 아양로49길 77 (신암동)
2nd row대구광역시 달서구 두류4길 34 (두류동)
3rd row대구광역시 달성군 가창면 가창로 737
4th row대구광역시 남구 두류공원로 47, 1층 (대명동)
5th row대구광역시 달서구 성서로35길 6 (월암동,외1필지 B동)
ValueCountFrequency (%)
대구광역시 3534
 
17.7%
달서구 735
 
3.7%
1층 735
 
3.7%
북구 732
 
3.7%
동구 479
 
2.4%
수성구 405
 
2.0%
서구 345
 
1.7%
남구 319
 
1.6%
중구 281
 
1.4%
대명동 246
 
1.2%
Other values (3255) 12208
61.0%
2024-04-18T11:09:50.603792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16486
 
16.7%
구 7352
 
7.5%
대 4727
 
4.8%
동 4666
 
4.7%
1 4082
 
4.1%
시 3619
 
3.7%
역 3587
 
3.6%
광 3542
 
3.6%
로 3458
 
3.5%
( 3450
 
3.5%
Other values (447) 43511
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58256
59.2%
Space Separator 16486
 
16.7%
Decimal Number 14520
 
14.7%
Open Punctuation 3450
 
3.5%
Close Punctuation 3450
 
3.5%
Other Punctuation 1838
 
1.9%
Dash Punctuation 362
 
0.4%
Uppercase Letter 102
 
0.1%
Math Symbol 8
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7352
 
12.6%
대 4727
 
8.1%
동 4666
 
8.0%
시 3619
 
6.2%
역 3587
 
6.2%
광 3542
 
6.1%
로 3458
 
5.9%
길 1502
 
2.6%
서 1445
 
2.5%
달 1306
 
2.2%
Other values (405) 23052
39.6%
Uppercase Letter
ValueCountFrequency (%)
A 26
25.5%
B 21
20.6%
C 9
 
8.8%
G 9
 
8.8%
T 6
 
5.9%
S 5
 
4.9%
L 4
 
3.9%
E 4
 
3.9%
M 3
 
2.9%
R 3
 
2.9%
Other values (8) 12
11.8%
Decimal Number
ValueCountFrequency (%)
1 4082
28.1%
2 2002
13.8%
3 1516
 
10.4%
0 1289
 
8.9%
4 1155
 
8.0%
5 1155
 
8.0%
6 945
 
6.5%
7 858
 
5.9%
9 786
 
5.4%
8 732
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
a 1
12.5%
p 1
12.5%
b 1
12.5%
m 1
12.5%
c 1
12.5%
t 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1833
99.7%
. 5
 
0.3%
Space Separator
ValueCountFrequency (%)
16486
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3450
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 362
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58255
59.2%
Common 40114
40.7%
Latin 110
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7352
 
12.6%
대 4727
 
8.1%
동 4666
 
8.0%
시 3619
 
6.2%
역 3587
 
6.2%
광 3542
 
6.1%
로 3458
 
5.9%
길 1502
 
2.6%
서 1445
 
2.5%
달 1306
 
2.2%
Other values (404) 23051
39.6%
Latin
ValueCountFrequency (%)
A 26
23.6%
B 21
19.1%
C 9
 
8.2%
G 9
 
8.2%
T 6
 
5.5%
S 5
 
4.5%
L 4
 
3.6%
E 4
 
3.6%
M 3
 
2.7%
R 3
 
2.7%
Other values (15) 20
18.2%
Common
ValueCountFrequency (%)
16486
41.1%
1 4082
 
10.2%
( 3450
 
8.6%
) 3450
 
8.6%
2 2002
 
5.0%
, 1833
 
4.6%
3 1516
 
3.8%
0 1289
 
3.2%
4 1155
 
2.9%
5 1155
 
2.9%
Other values (7) 3696
 
9.2%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58253
59.2%
ASCII 40224
40.8%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16486
41.0%
1 4082
 
10.1%
( 3450
 
8.6%
) 3450
 
8.6%
2 2002
 
5.0%
, 1833
 
4.6%
3 1516
 
3.8%
0 1289
 
3.2%
4 1155
 
2.9%
5 1155
 
2.9%
Other values (32) 3806
 
9.5%
Hangul
ValueCountFrequency (%)
구 7352
 
12.6%
대 4727
 
8.1%
동 4666
 
8.0%
시 3619
 
6.2%
역 3587
 
6.2%
광 3542
 
6.1%
로 3458
 
5.9%
길 1502
 
2.6%
서 1445
 
2.5%
달 1306
 
2.2%
Other values (402) 23049
39.6%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
50.0%
ㅇ 1
50.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1145
Distinct (%)33.1%
Missing6540
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean42028.521
Minimum41001
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:50.724834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41122
Q141518
median41954
Q342620
95-th percentile42936
Maximum43023
Range2022
Interquartile range (IQR)1102

Descriptive statistics

Standard deviation588.25343
Coefficient of variation (CV)0.01399653
Kurtosis-1.2784948
Mean42028.521
Median Absolute Deviation (MAD)507
Skewness0.014862263
Sum1.4541868 × 108
Variance346042.1
MonotonicityNot monotonic
2024-04-18T11:09:50.859886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42415 33
 
0.3%
41423 19
 
0.2%
41581 18
 
0.2%
41505 17
 
0.2%
42612 17
 
0.2%
41845 17
 
0.2%
41453 15
 
0.1%
41586 15
 
0.1%
41438 15
 
0.1%
42620 14
 
0.1%
Other values (1135) 3280
32.8%
(Missing) 6540
65.4%
ValueCountFrequency (%)
41001 1
 
< 0.1%
41002 3
 
< 0.1%
41005 2
 
< 0.1%
41007 13
0.1%
41008 7
0.1%
41017 1
 
< 0.1%
41020 1
 
< 0.1%
41021 2
 
< 0.1%
41024 1
 
< 0.1%
41025 1
 
< 0.1%
ValueCountFrequency (%)
43023 2
 
< 0.1%
43019 3
 
< 0.1%
43018 5
0.1%
43017 1
 
< 0.1%
43016 1
 
< 0.1%
43014 8
0.1%
43013 1
 
< 0.1%
43011 2
 
< 0.1%
43009 2
 
< 0.1%
43008 4
< 0.1%

사업장명
Text

Distinct8706
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T11:09:51.117150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length6.6415
Min length1

Characters and Unicode

Total characters66415
Distinct characters872
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8045 ?
Unique (%)80.5%

Sample

1st row만물슈퍼
2nd row에이스독서실
3rd row피자타임
4th row신암보성마트
5th row남도낚시점
ValueCountFrequency (%)
자판기 220
 
2.0%
세븐일레븐 85
 
0.8%
이마트24 59
 
0.5%
주)휘닉스벤딩서비스 55
 
0.5%
씨유 45
 
0.4%
신우유통 37
 
0.3%
gs25 36
 
0.3%
pc방 28
 
0.3%
지에스(gs)25 23
 
0.2%
영남대의료원 22
 
0.2%
Other values (8949) 10568
94.5%
2024-04-18T11:09:51.449979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 2012
 
3.0%
점 1696
 
2.6%
자 1520
 
2.3%
기 1518
 
2.3%
구 1491
 
2.2%
판 1343
 
2.0%
1192
 
1.8%
동 1005
 
1.5%
마 919
 
1.4%
식 907
 
1.4%
Other values (862) 52812
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60709
91.4%
Decimal Number 1459
 
2.2%
Uppercase Letter 1414
 
2.1%
Space Separator 1192
 
1.8%
Close Punctuation 678
 
1.0%
Open Punctuation 675
 
1.0%
Lowercase Letter 178
 
0.3%
Other Punctuation 87
 
0.1%
Dash Punctuation 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2012
 
3.3%
점 1696
 
2.8%
자 1520
 
2.5%
기 1518
 
2.5%
구 1491
 
2.5%
판 1343
 
2.2%
동 1005
 
1.7%
마 919
 
1.5%
식 907
 
1.5%
성 875
 
1.4%
Other values (797) 47423
78.1%
Uppercase Letter
ValueCountFrequency (%)
C 345
24.4%
P 201
14.2%
G 196
13.9%
S 192
13.6%
U 108
 
7.6%
K 49
 
3.5%
L 34
 
2.4%
E 31
 
2.2%
A 30
 
2.1%
O 28
 
2.0%
Other values (16) 200
14.1%
Lowercase Letter
ValueCountFrequency (%)
c 33
18.5%
e 26
14.6%
p 22
12.4%
o 16
9.0%
a 11
 
6.2%
i 10
 
5.6%
f 9
 
5.1%
s 8
 
4.5%
n 7
 
3.9%
l 6
 
3.4%
Other values (10) 30
16.9%
Decimal Number
ValueCountFrequency (%)
2 556
38.1%
4 261
17.9%
5 234
16.0%
1 161
 
11.0%
3 78
 
5.3%
0 61
 
4.2%
6 35
 
2.4%
7 33
 
2.3%
8 27
 
1.9%
9 13
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 62
71.3%
, 15
 
17.2%
& 6
 
6.9%
' 2
 
2.3%
/ 2
 
2.3%
Space Separator
ValueCountFrequency (%)
1192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60706
91.4%
Common 4114
 
6.2%
Latin 1592
 
2.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2012
 
3.3%
점 1696
 
2.8%
자 1520
 
2.5%
기 1518
 
2.5%
구 1491
 
2.5%
판 1343
 
2.2%
동 1005
 
1.7%
마 919
 
1.5%
식 907
 
1.5%
성 875
 
1.4%
Other values (796) 47420
78.1%
Latin
ValueCountFrequency (%)
C 345
21.7%
P 201
12.6%
G 196
12.3%
S 192
12.1%
U 108
 
6.8%
K 49
 
3.1%
L 34
 
2.1%
c 33
 
2.1%
E 31
 
1.9%
A 30
 
1.9%
Other values (36) 373
23.4%
Common
ValueCountFrequency (%)
1192
29.0%
) 678
16.5%
( 675
16.4%
2 556
13.5%
4 261
 
6.3%
5 234
 
5.7%
1 161
 
3.9%
3 78
 
1.9%
. 62
 
1.5%
0 61
 
1.5%
Other values (9) 156
 
3.8%
Han
ValueCountFrequency (%)
內 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60704
91.4%
ASCII 5706
 
8.6%
CJK 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 2012
 
3.3%
점 1696
 
2.8%
자 1520
 
2.5%
기 1518
 
2.5%
구 1491
 
2.5%
판 1343
 
2.2%
동 1005
 
1.7%
마 919
 
1.5%
식 907
 
1.5%
성 875
 
1.4%
Other values (794) 47418
78.1%
ASCII
ValueCountFrequency (%)
1192
20.9%
) 678
11.9%
( 675
11.8%
2 556
9.7%
C 345
 
6.0%
4 261
 
4.6%
5 234
 
4.1%
P 201
 
3.5%
G 196
 
3.4%
S 192
 
3.4%
Other values (55) 1176
20.6%
CJK
ValueCountFrequency (%)
內 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㅌ 1
50.0%

최종수정시점
Real number (ℝ)

Distinct5380
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0083942 × 1013
Minimum2.0020116 × 1013
Maximum2.0220726 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:51.568748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020116 × 1013
5-th percentile2.0020327 × 1013
Q12.0021106 × 1013
median2.0060404 × 1013
Q32.0131008 × 1013
95-th percentile2.0210422 × 1013
Maximum2.0220726 × 1013
Range2.0061011 × 1011
Interquartile range (IQR)1.099021 × 1011

Descriptive statistics

Standard deviation6.5710307 × 1010
Coefficient of variation (CV)0.0032717833
Kurtosis-0.85789277
Mean2.0083942 × 1013
Median Absolute Deviation (MAD)3.979 × 1010
Skewness0.75633455
Sum2.0083942 × 1017
Variance4.3178444 × 1021
MonotonicityNot monotonic
2024-04-18T11:09:51.692235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031218000000 142
 
1.4%
20021107000000 85
 
0.9%
20020117000000 76
 
0.8%
20020121000000 75
 
0.8%
20020122000000 73
 
0.7%
20020614000000 67
 
0.7%
20020617000000 66
 
0.7%
20021028000000 66
 
0.7%
20020527000000 65
 
0.7%
20020522000000 63
 
0.6%
Other values (5370) 9222
92.2%
ValueCountFrequency (%)
20020116000000 11
 
0.1%
20020117000000 76
0.8%
20020118000000 38
0.4%
20020121000000 75
0.8%
20020122000000 73
0.7%
20020123000000 48
0.5%
20020125000000 1
 
< 0.1%
20020128000000 3
 
< 0.1%
20020129000000 9
 
0.1%
20020204000000 17
 
0.2%
ValueCountFrequency (%)
20220726113034 1
< 0.1%
20220725180841 1
< 0.1%
20220725170223 1
< 0.1%
20220725101615 1
< 0.1%
20220722152407 1
< 0.1%
20220722110136 1
< 0.1%
20220721135243 1
< 0.1%
20220721130429 1
< 0.1%
20220720132529 1
< 0.1%
20220720130728 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8698 
U
1302 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8698
87.0%
U 1302
 
13.0%

Length

2024-04-18T11:09:51.803657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:51.877678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8698
87.0%
u 1302
 
13.0%

데이터갱신일자
Date

Distinct775
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-28 00:22:29
2024-04-18T11:09:51.960738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:09:52.066392image/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

2024-04-18T11:09:52.169122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:52.238233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7491
Distinct (%)79.9%
Missing623
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean342947.67
Minimum325831.39
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:52.317153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325831.39
5-th percentile335132.96
Q1339846.03
median342795.7
Q3345941.24
95-th percentile352786.16
Maximum358060.65
Range32229.256
Interquartile range (IQR)6095.2076

Descriptive statistics

Standard deviation4851.5155
Coefficient of variation (CV)0.014146518
Kurtosis0.59118202
Mean342947.67
Median Absolute Deviation (MAD)3032.4244
Skewness0.07778206
Sum3.2158203 × 109
Variance23537202
MonotonicityNot monotonic
2024-04-18T11:09:52.430808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343157.682044 57
 
0.6%
345141.357576 50
 
0.5%
344867.643963 36
 
0.4%
345549.11017 25
 
0.2%
339243.983122 16
 
0.2%
344047.164924 16
 
0.2%
344997.585301 15
 
0.1%
342935.432334 15
 
0.1%
345032.238221 14
 
0.1%
345320.33229 14
 
0.1%
Other values (7481) 9119
91.2%
(Missing) 623
 
6.2%
ValueCountFrequency (%)
325831.391262 1
< 0.1%
326154.899807 1
< 0.1%
326269.666487 1
< 0.1%
326534.608033 1
< 0.1%
326635.578062 1
< 0.1%
326660.851514 1
< 0.1%
326703.14585 1
< 0.1%
326755.194077 2
< 0.1%
327051.071404 1
< 0.1%
327085.648976 1
< 0.1%
ValueCountFrequency (%)
358060.647419 1
< 0.1%
356698.367083 1
< 0.1%
356668.763448 1
< 0.1%
356589.560791 2
< 0.1%
356578.373419 1
< 0.1%
356533.072677 1
< 0.1%
356530.179947 1
< 0.1%
356521.273092 1
< 0.1%
356484.612255 1
< 0.1%
356431.884326 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7492
Distinct (%)79.9%
Missing623
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean263573.43
Minimum238029.01
Maximum278909.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:52.575982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238029.01
5-th percentile257757.46
Q1261454.79
median263671.26
Q3265775.57
95-th percentile270834.06
Maximum278909.06
Range40880.052
Interquartile range (IQR)4320.7796

Descriptive statistics

Standard deviation4263.7991
Coefficient of variation (CV)0.016176893
Kurtosis4.8688949
Mean263573.43
Median Absolute Deviation (MAD)2165.7606
Skewness-0.88762537
Sum2.471528 × 109
Variance18179983
MonotonicityNot monotonic
2024-04-18T11:09:52.719376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261957.795169 57
 
0.6%
267096.362462 50
 
0.5%
264091.210417 36
 
0.4%
268620.845678 25
 
0.2%
265132.987974 16
 
0.2%
268026.454531 16
 
0.2%
264310.975711 15
 
0.1%
268604.350566 15
 
0.1%
262949.871621 14
 
0.1%
268402.372721 14
 
0.1%
Other values (7482) 9119
91.2%
(Missing) 623
 
6.2%
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%
240739.938523 1
< 0.1%
240757.761547 1
< 0.1%
240930.669713 1
< 0.1%
ValueCountFrequency (%)
278909.058905 1
 
< 0.1%
278336.223852 4
< 0.1%
278269.027313 1
 
< 0.1%
278149.556874 2
< 0.1%
278117.387967 1
 
< 0.1%
278116.5272 1
 
< 0.1%
278080.761551 1
 
< 0.1%
278068.782101 2
< 0.1%
278048.41446 1
 
< 0.1%
277984.852725 1
 
< 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

2024-04-18T11:09:52.824629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:52.895968image/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>
9556 
0
 
444

Length

Max length4
Median length4
Mean length3.8668
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> 9556
95.6%
0 444
 
4.4%

Length

2024-04-18T11:09:52.974323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:53.049377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9556
95.6%
0 444
 
4.4%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9555 
0
 
444
1
 
1

Length

Max length4
Median length4
Mean length3.8665
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> 9555
95.5%
0 444
 
4.4%
1 1
 
< 0.1%

Length

2024-04-18T11:09:53.129403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:53.206684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9555
95.5%
0 444
 
4.4%
1 1
 
< 0.1%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T11:09:53.287727image/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%
2024-04-18T11:09:53.475122image/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 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8162 
상수도전용
1820 
간이상수도
 
13
지하수전용
 
3
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length19
Median length4
Mean length4.1864
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8162
81.6%
상수도전용 1820
 
18.2%
간이상수도 13
 
0.1%
지하수전용 3
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-18T11:09:53.582928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:53.669978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8162
81.6%
상수도전용 1820
 
18.2%
간이상수도 13
 
0.1%
지하수전용 3
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9587 
0
 
413

Length

Max length4
Median length4
Mean length3.8761
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> 9587
95.9%
0 413
 
4.1%

Length

2024-04-18T11:09:53.779935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:53.858224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9587
95.9%
0 413
 
4.1%

본사직원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6650 
<NA>
3329 
1
 
21

Length

Max length4
Median length1
Mean length1.9987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6650
66.5%
<NA> 3329
33.3%
1 21
 
0.2%

Length

2024-04-18T11:09:53.945715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:54.030821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6650
66.5%
na 3329
33.3%
1 21
 
0.2%

공장사무직직원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6663 
<NA>
3329 
1
 
8

Length

Max length4
Median length1
Mean length1.9987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6663
66.6%
<NA> 3329
33.3%
1 8
 
0.1%

Length

2024-04-18T11:09:54.118892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:54.202913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6663
66.6%
na 3329
33.3%
1 8
 
0.1%

공장판매직직원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6515 
<NA>
3329 
1
 
151
2
 
5

Length

Max length4
Median length1
Mean length1.9987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6515
65.1%
<NA> 3329
33.3%
1 151
 
1.5%
2 5
 
0.1%

Length

2024-04-18T11:09:54.291430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:54.379643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6515
65.1%
na 3329
33.3%
1 151
 
1.5%
2 5
 
< 0.1%

공장생산직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6666 
<NA>
3329 
1
 
4
2
 
1

Length

Max length4
Median length1
Mean length1.9987
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6666
66.7%
<NA> 3329
33.3%
1 4
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-18T11:09:54.476681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:54.563438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6666
66.7%
na 3329
33.3%
1 4
 
< 0.1%
2 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7538 
자가
2013 
임대
 
449

Length

Max length4
Median length4
Mean length3.5076
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7538
75.4%
자가 2013
 
20.1%
임대 449
 
4.5%

Length

2024-04-18T11:09:54.662801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:09:54.753834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7538
75.4%
자가 2013
 
20.1%
임대 449
 
4.5%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.5%
Missing8586
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean309763.08
Minimum0
Maximum1 × 108
Zeros1405
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:54.830840image/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 deviation4950449.6
Coefficient of variation (CV)15.981406
Kurtosis328.05348
Mean309763.08
Median Absolute Deviation (MAD)0
Skewness17.80133
Sum4.38005 × 108
Variance2.4506951 × 1013
MonotonicityNot monotonic
2024-04-18T11:09:54.924709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1405
 
14.1%
100000000 2
 
< 0.1%
30000000 2
 
< 0.1%
80000000 2
 
< 0.1%
5000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
(Missing) 8586
85.9%
ValueCountFrequency (%)
0 1405
14.1%
5000 1
 
< 0.1%
8000000 1
 
< 0.1%
10000000 1
 
< 0.1%
30000000 2
 
< 0.1%
80000000 2
 
< 0.1%
100000000 2
 
< 0.1%
ValueCountFrequency (%)
100000000 2
 
< 0.1%
80000000 2
 
< 0.1%
30000000 2
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
5000 1
 
< 0.1%
0 1405
14.1%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.4%
Missing8588
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean2195.6409
Minimum0
Maximum1100000
Zeros1405
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:55.010059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1100000
Range1100000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38973.296
Coefficient of variation (CV)17.750305
Kurtosis523.30191
Mean2195.6409
Median Absolute Deviation (MAD)0
Skewness21.566837
Sum3100245
Variance1.5189178 × 109
MonotonicityNot monotonic
2024-04-18T11:09:55.095845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1405
 
14.1%
500000 2
 
< 0.1%
200000 2
 
< 0.1%
245 1
 
< 0.1%
1100000 1
 
< 0.1%
600000 1
 
< 0.1%
(Missing) 8588
85.9%
ValueCountFrequency (%)
0 1405
14.1%
245 1
 
< 0.1%
200000 2
 
< 0.1%
500000 2
 
< 0.1%
600000 1
 
< 0.1%
1100000 1
 
< 0.1%
ValueCountFrequency (%)
1100000 1
 
< 0.1%
600000 1
 
< 0.1%
500000 2
 
< 0.1%
200000 2
 
< 0.1%
245 1
 
< 0.1%
0 1405
14.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-04-18T11:09:55.171476image/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%
Mean0.056905
Minimum0
Maximum163.66
Zeros9883
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:09:55.235257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum163.66
Range163.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9403231
Coefficient of variation (CV)34.097586
Kurtosis5243.6762
Mean0.056905
Median Absolute Deviation (MAD)0
Skewness66.93249
Sum569.05
Variance3.7648538
MonotonicityNot monotonic
2024-04-18T11:09:55.323114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 9883
98.8%
1.0 88
 
0.9%
2.0 9
 
0.1%
3.0 5
 
0.1%
4.0 2
 
< 0.1%
163.66 1
 
< 0.1%
9.66 1
 
< 0.1%
62.42 1
 
< 0.1%
26.17 1
 
< 0.1%
1.5 1
 
< 0.1%
Other values (8) 8
 
0.1%
ValueCountFrequency (%)
0.0 9883
98.8%
1.0 88
 
0.9%
1.5 1
 
< 0.1%
2.0 9
 
0.1%
3.0 5
 
0.1%
3.3 1
 
< 0.1%
4.0 2
 
< 0.1%
6.0 1
 
< 0.1%
9.66 1
 
< 0.1%
10.2 1
 
< 0.1%
ValueCountFrequency (%)
163.66 1
< 0.1%
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%
16.6 1
< 0.1%
10.2 1
< 0.1%
9.66 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)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
121122식품자동판매기업07_22_10_P34100003410000-112-2002-0000820020112<NA>3폐업2폐업20080121<NA><NA><NA>053 4239587<NA>700412대구광역시 중구 삼덕동2가 0223-0001<NA><NA>만물슈퍼20031218000000I2018-08-31 23:59:59.0식품자동판매기영업344797.904512264000.816693식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
72277228식품자동판매기업07_22_10_P34600003460000-112-2007-0005320070904<NA>3폐업2폐업20080530<NA><NA><NA>053 7945025<NA>706170대구광역시 수성구 신매동 567-46 (2층계단)<NA><NA>에이스독서실20070917135357I2018-08-31 23:59:59.0식품자동판매기영업354301.944147261281.081872식품자동판매기영업<NA><NA><NA><NA><NA><NA>0010<NA><NA><NA>N0.0<NA><NA><NA>
27062707식품자동판매기업07_22_10_P34300003430000-112-2005-0003420050310<NA>3폐업2폐업20060223<NA><NA><NA>053 5244666<NA>703813대구광역시 서구 비산동 208-1<NA><NA>피자타임20060322000000I2018-08-31 23:59:59.0식품자동판매기영업342184.492964264511.738243식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
24952496식품자동판매기업07_22_10_P34200003420000-112-2001-0036820011205<NA>1영업/정상1영업<NA><NA><NA><NA>053 95340251.0701810대구광역시 동구 신암동 67대구광역시 동구 아양로49길 77 (신암동)41182신암보성마트20041110000000I2018-08-31 23:59:59.0식품자동판매기영업347450.985046266852.560776식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
42704271식품자동판매기업07_22_10_P34400003440000-112-2004-0005920040413<NA>3폐업2폐업20090522<NA><NA><NA>053 4730353<NA>705827대구광역시 남구 봉덕동 959-10 (대봉로 140)<NA><NA>남도낚시점20080829104651I2018-08-31 23:59:59.0식품자동판매기영업344856.038702261814.7241식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
1074210743식품자동판매기업07_22_10_P34700003470000-112-2002-0013920020604<NA>3폐업2폐업20150818<NA><NA><NA>05306217601<NA>704060대구광역시 달서구 두류동 1242-4대구광역시 달서구 두류4길 34 (두류동)42665성주식육점20100129120004I2018-08-31 23:59:59.0식품자동판매기영업341604.964263030.831039식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
67426743식품자동판매기업07_22_10_P34500003450000-112-2010-0002320100326<NA>3폐업2폐업20101012<NA><NA><NA>005303132775<NA>702807대구광역시 북구 구암동 784-1<NA><NA>푸른장터20100326110342I2018-08-31 23:59:59.0식품자동판매기영업341488.676936272322.969045식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
12491250식품자동판매기업07_22_10_P34200003420000-112-2000-0000720000324<NA>3폐업2폐업20110119<NA><NA><NA>053 98268661.0701805대구광역시 동구 불로동 385-1<NA><NA>용성밧데리자판기20020326000000I2018-08-31 23:59:59.0식품자동판매기영업348066.568921269317.463351식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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