Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells133165
Missing cells (%)28.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory415.0 B

Variable types

Numeric13
Categorical18
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년09월_6270000_대구광역시_07_22_10_P_식품자동판매기업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096630&dataSetDetailId=DDI_0000096650&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (71.7%)Imbalance
여성종사자수 is highly imbalanced (71.7%)Imbalance
급수시설구분명 is highly imbalanced (72.6%)Imbalance
총직원수 is highly imbalanced (72.9%)Imbalance
본사직원수 is highly imbalanced (53.2%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1272 (12.7%) 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 2423 (24.2%) missing valuesMissing
소재지면적 has 7991 (79.9%) missing valuesMissing
도로명전체주소 has 6488 (64.9%) missing valuesMissing
도로명우편번호 has 6559 (65.6%) missing valuesMissing
좌표정보(X) has 665 (6.7%) missing valuesMissing
좌표정보(Y) has 665 (6.7%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
보증액 has 8510 (85.1%) missing valuesMissing
월세액 has 8511 (85.1%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.10904394)Skewed
보증액 is highly skewed (γ1 = 20.47916138)Skewed
월세액 is highly skewed (γ1 = 36.39213535)Skewed
시설총규모 is highly skewed (γ1 = 67.19141756)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
영업장주변구분명 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 1481 (14.8%) zerosZeros
월세액 has 1481 (14.8%) zerosZeros
시설총규모 has 9878 (98.8%) zerosZeros

Reproduction

Analysis started2024-04-17 19:09:49.898475
Analysis finished2024-04-17 19:09:51.648906
Duration1.75 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%
Mean5963.506
Minimum1
Maximum11908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:51.705403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile589.95
Q12984.75
median5988.5
Q38940.25
95-th percentile11310.05
Maximum11908
Range11907
Interquartile range (IQR)5955.5

Descriptive statistics

Standard deviation3435.8312
Coefficient of variation (CV)0.57614283
Kurtosis-1.1967933
Mean5963.506
Median Absolute Deviation (MAD)2979
Skewness-0.0041138728
Sum59635060
Variance11804936
MonotonicityNot monotonic
2024-04-18T04:09:51.810692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11124 1
 
< 0.1%
2373 1
 
< 0.1%
4941 1
 
< 0.1%
4356 1
 
< 0.1%
8814 1
 
< 0.1%
3047 1
 
< 0.1%
909 1
 
< 0.1%
10001 1
 
< 0.1%
3796 1
 
< 0.1%
202 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
11908 1
< 0.1%
11907 1
< 0.1%
11905 1
< 0.1%
11904 1
< 0.1%
11903 1
< 0.1%
11902 1
< 0.1%
11901 1
< 0.1%
11900 1
< 0.1%
11899 1
< 0.1%
11898 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

2024-04-18T04:09:51.907612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:51.991350image/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

2024-04-18T04:09:52.081381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:52.155626image/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%
Mean3446313
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:52.214232image/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 deviation21134.349
Coefficient of variation (CV)0.0061324519
Kurtosis-1.1636587
Mean3446313
Median Absolute Deviation (MAD)20000
Skewness-0.24628023
Sum3.446313 × 1010
Variance4.466607 × 108
MonotonicityNot monotonic
2024-04-18T04:09:52.296525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2065
20.6%
3450000 1742
17.4%
3460000 1440
14.4%
3420000 1275
12.8%
3430000 1103
11.0%
3410000 941
9.4%
3440000 941
9.4%
3480000 493
 
4.9%
ValueCountFrequency (%)
3410000 941
9.4%
3420000 1275
12.8%
3430000 1103
11.0%
3440000 941
9.4%
3450000 1742
17.4%
3460000 1440
14.4%
3470000 2065
20.6%
3480000 493
 
4.9%
ValueCountFrequency (%)
3480000 493
 
4.9%
3470000 2065
20.6%
3460000 1440
14.4%
3450000 1742
17.4%
3440000 941
9.4%
3430000 1103
11.0%
3420000 1275
12.8%
3410000 941
9.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T04:09:52.458814image/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 row3470000-112-2001-00562
2nd row3420000-112-1995-00070
3rd row3430000-112-2000-00031
4th row3410000-112-2000-00010
5th row3440000-112-1998-00026
ValueCountFrequency (%)
3470000-112-2001-00562 1
 
< 0.1%
3470000-112-2005-00225 1
 
< 0.1%
3480000-112-2002-00008 1
 
< 0.1%
3470000-112-2005-00134 1
 
< 0.1%
3440000-112-2012-00002 1
 
< 0.1%
3440000-112-2002-00015 1
 
< 0.1%
3460000-112-2019-00008 1
 
< 0.1%
3430000-112-2001-00055 1
 
< 0.1%
3410000-112-2003-00107 1
 
< 0.1%
3420000-112-1995-00083 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T04:09:52.708396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86426
39.3%
1 30571
 
13.9%
- 30000
 
13.6%
2 24171
 
11.0%
3 14410
 
6.6%
4 14028
 
6.4%
5 4773
 
2.2%
9 4694
 
2.1%
7 4351
 
2.0%
6 3898
 
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 86426
45.5%
1 30571
 
16.1%
2 24171
 
12.7%
3 14410
 
7.6%
4 14028
 
7.4%
5 4773
 
2.5%
9 4694
 
2.5%
7 4351
 
2.3%
6 3898
 
2.1%
8 2678
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86426
39.3%
1 30571
 
13.9%
- 30000
 
13.6%
2 24171
 
11.0%
3 14410
 
6.6%
4 14028
 
6.4%
5 4773
 
2.2%
9 4694
 
2.1%
7 4351
 
2.0%
6 3898
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86426
39.3%
1 30571
 
13.9%
- 30000
 
13.6%
2 24171
 
11.0%
3 14410
 
6.6%
4 14028
 
6.4%
5 4773
 
2.2%
9 4694
 
2.1%
7 4351
 
2.0%
6 3898
 
1.8%

인허가일자
Real number (ℝ)

Distinct3526
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20042325
Minimum19841124
Maximum20220929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:52.831256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841124
5-th percentile19960410
Q120010426
median20020926
Q320060404
95-th percentile20180706
Maximum20220929
Range379805
Interquartile range (IQR)49977.75

Descriptive statistics

Standard deviation62105.566
Coefficient of variation (CV)0.0030987206
Kurtosis1.006199
Mean20042325
Median Absolute Deviation (MAD)20079.5
Skewness1.034469
Sum2.0042325 × 1011
Variance3.8571013 × 109
MonotonicityNot monotonic
2024-04-18T04:09:52.950520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010214 127
 
1.3%
20000904 49
 
0.5%
20010302 46
 
0.5%
20010303 44
 
0.4%
20010615 42
 
0.4%
20010705 39
 
0.4%
20010709 38
 
0.4%
20010213 38
 
0.4%
20010628 38
 
0.4%
20010706 37
 
0.4%
Other values (3516) 9502
95.0%
ValueCountFrequency (%)
19841124 1
< 0.1%
19841219 1
< 0.1%
19850116 1
< 0.1%
19850128 1
< 0.1%
19850328 1
< 0.1%
19850810 1
< 0.1%
19860123 1
< 0.1%
19880718 1
< 0.1%
19881201 1
< 0.1%
19881202 1
< 0.1%
ValueCountFrequency (%)
20220929 2
< 0.1%
20220926 1
< 0.1%
20220919 1
< 0.1%
20220901 1
< 0.1%
20220829 1
< 0.1%
20220823 1
< 0.1%
20220816 1
< 0.1%
20220812 1
< 0.1%
20220801 1
< 0.1%
20220726 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
8728 
1
1272 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8728
87.3%
1 1272
 
12.7%

Length

2024-04-18T04:09:53.052628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:53.118525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8728
87.3%
1 1272
 
12.7%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8728 
영업/정상
1272 

Length

Max length5
Median length2
Mean length2.3816
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8728
87.3%
영업/정상 1272
 
12.7%

Length

2024-04-18T04:09:53.197676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:53.267501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8728
87.3%
영업/정상 1272
 
12.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8728 
1
1272 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8728
87.3%
1 1272
 
12.7%

Length

2024-04-18T04:09:53.340458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:53.407667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8728
87.3%
1 1272
 
12.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8728 
영업
1272 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8728
87.3%
영업 1272
 
12.7%

Length

2024-04-18T04:09:53.478580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:53.547331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8728
87.3%
영업 1272
 
12.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct3404
Distinct (%)39.0%
Missing1272
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean20090122
Minimum19970109
Maximum20220929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:53.629681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970109
5-th percentile20030303
Q120050407
median20071224
Q320120712
95-th percentile20200326
Maximum20220929
Range250820
Interquartile range (IQR)70304.5

Descriptive statistics

Standard deviation52413.271
Coefficient of variation (CV)0.0026089076
Kurtosis-0.28250925
Mean20090122
Median Absolute Deviation (MAD)30310
Skewness0.82532422
Sum1.7534658 × 1011
Variance2.747151 × 109
MonotonicityNot monotonic
2024-04-18T04:09:53.732219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040413 65
 
0.7%
20091209 47
 
0.5%
20090406 45
 
0.4%
20051229 34
 
0.3%
20040723 32
 
0.3%
20091216 31
 
0.3%
20050408 31
 
0.3%
20050310 26
 
0.3%
20050307 25
 
0.2%
20191227 25
 
0.2%
Other values (3394) 8367
83.7%
(Missing) 1272
 
12.7%
ValueCountFrequency (%)
19970109 1
< 0.1%
19970709 1
< 0.1%
19971007 1
< 0.1%
19981021 1
< 0.1%
19990303 1
< 0.1%
19991029 1
< 0.1%
19991102 1
< 0.1%
20000210 1
< 0.1%
20000228 1
< 0.1%
20000705 1
< 0.1%
ValueCountFrequency (%)
20220929 1
< 0.1%
20220920 1
< 0.1%
20220915 1
< 0.1%
20220913 1
< 0.1%
20220901 2
< 0.1%
20220830 1
< 0.1%
20220829 1
< 0.1%
20220818 1
< 0.1%
20220816 2
< 0.1%
20220808 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 

Distinct6894
Distinct (%)91.0%
Missing2423
Missing (%)24.2%
Memory size156.2 KiB
2024-04-18T04:09:53.980296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.315032
Min length3

Characters and Unicode

Total characters78157
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

Unique6603 ?
Unique (%)87.1%

Sample

1st row053 6290949
2nd row053 9641553
3rd row053 5528066
4th row053 3829661
5th row053 4722201
ValueCountFrequency (%)
053 5660
39.4%
3829661 81
 
0.6%
943 41
 
0.3%
9661 38
 
0.3%
9439661 36
 
0.3%
7439661 31
 
0.2%
941 30
 
0.2%
0019 20
 
0.1%
070 17
 
0.1%
9410019 16
 
0.1%
Other values (7025) 8398
58.4%
2024-04-18T04:09:54.329404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13281
17.0%
3 11519
14.7%
0 10281
13.2%
6809
8.7%
6 6514
8.3%
2 5996
7.7%
7 5075
 
6.5%
1 5007
 
6.4%
4 4984
 
6.4%
9 4503
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71348
91.3%
Space Separator 6809
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13281
18.6%
3 11519
16.1%
0 10281
14.4%
6 6514
9.1%
2 5996
8.4%
7 5075
 
7.1%
1 5007
 
7.0%
4 4984
 
7.0%
9 4503
 
6.3%
8 4188
 
5.9%
Space Separator
ValueCountFrequency (%)
6809
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78157
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13281
17.0%
3 11519
14.7%
0 10281
13.2%
6809
8.7%
6 6514
8.3%
2 5996
7.7%
7 5075
 
6.5%
1 5007
 
6.4%
4 4984
 
6.4%
9 4503
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13281
17.0%
3 11519
14.7%
0 10281
13.2%
6809
8.7%
6 6514
8.3%
2 5996
7.7%
7 5075
 
6.5%
1 5007
 
6.4%
4 4984
 
6.4%
9 4503
 
5.8%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct67
Distinct (%)3.3%
Missing7991
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean2.6437432
Minimum0
Maximum496
Zeros252
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:54.446265image/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 deviation16.905536
Coefficient of variation (CV)6.3945455
Kurtosis484.51231
Mean2.6437432
Median Absolute Deviation (MAD)0
Skewness20.109044
Sum5311.28
Variance285.79715
MonotonicityNot monotonic
2024-04-18T04:09:54.556626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 1308
 
13.1%
0.0 252
 
2.5%
3.3 162
 
1.6%
2.0 71
 
0.7%
3.0 54
 
0.5%
1.5 38
 
0.4%
1.44 14
 
0.1%
6.6 13
 
0.1%
4.0 11
 
0.1%
1.2 7
 
0.1%
Other values (57) 79
 
0.8%
(Missing) 7991
79.9%
ValueCountFrequency (%)
0.0 252
 
2.5%
0.3 2
 
< 0.1%
0.4 1
 
< 0.1%
0.5 4
 
< 0.1%
0.51 1
 
< 0.1%
1.0 1308
13.1%
1.03 1
 
< 0.1%
1.1 5
 
0.1%
1.2 7
 
0.1%
1.3 3
 
< 0.1%
ValueCountFrequency (%)
496.0 1
< 0.1%
320.1 1
< 0.1%
303.0 1
< 0.1%
177.59 1
< 0.1%
163.66 1
< 0.1%
117.39 1
< 0.1%
104.0 1
< 0.1%
100.0 2
< 0.1%
90.0 1
< 0.1%
73.85 1
< 0.1%

소재지우편번호
Real number (ℝ)

Distinct686
Distinct (%)6.9%
Missing73
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean704192.31
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:54.657976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700440
Q1702701
median703848
Q3705810
95-th percentile706852
Maximum711893
Range11883
Interquartile range (IQR)3109

Descriptive statistics

Standard deviation2496.5435
Coefficient of variation (CV)0.0035452581
Kurtosis1.5937495
Mean704192.31
Median Absolute Deviation (MAD)1953
Skewness0.94575461
Sum6.990517 × 109
Variance6232729.4
MonotonicityNot monotonic
2024-04-18T04:09:54.964256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 158
 
1.6%
704060 97
 
1.0%
706170 95
 
0.9%
705802 81
 
0.8%
704919 78
 
0.8%
702845 72
 
0.7%
700412 69
 
0.7%
702040 68
 
0.7%
704834 60
 
0.6%
702701 54
 
0.5%
Other values (676) 9095
91.0%
(Missing) 73
 
0.7%
ValueCountFrequency (%)
700010 27
0.3%
700020 7
 
0.1%
700030 3
 
< 0.1%
700040 2
 
< 0.1%
700050 5
 
0.1%
700060 36
0.4%
700070 48
0.5%
700081 1
 
< 0.1%
700082 10
 
0.1%
700091 5
 
0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711891 11
0.1%
711874 20
0.2%
711873 17
0.2%
711872 27
0.3%
711871 1
 
< 0.1%
711864 27
0.3%
711863 6
 
0.1%
711862 6
 
0.1%
711861 7
 
0.1%

소재지전체주소
Text

Distinct8807
Distinct (%)88.1%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-04-18T04:09:55.281304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length51
Mean length22.147518
Min length14

Characters and Unicode

Total characters221298
Distinct characters463
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

Unique8029 ?
Unique (%)80.4%

Sample

1st row대구광역시 달서구 송현동 2013-23
2nd row대구광역시 동구 신기동 594 안심주공3단지상가 104호
3rd row대구광역시 서구 평리동 772-2
4th row대구광역시 중구 삼덕동2가 0050
5th row대구광역시 남구 봉덕동 1329-54
ValueCountFrequency (%)
대구광역시 9993
22.7%
달서구 2065
 
4.7%
북구 1739
 
4.0%
수성구 1437
 
3.3%
동구 1276
 
2.9%
서구 1101
 
2.5%
중구 941
 
2.1%
남구 941
 
2.1%
대명동 685
 
1.6%
달성군 492
 
1.1%
Other values (8890) 23284
53.0%
2024-04-18T04:09:55.713417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43694
19.7%
구 19807
 
9.0%
동 11445
 
5.2%
1 11412
 
5.2%
대 11382
 
5.1%
시 10125
 
4.6%
역 10040
 
4.5%
광 10008
 
4.5%
- 7908
 
3.6%
0 7291
 
3.3%
Other values (453) 78186
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117789
53.2%
Decimal Number 50385
22.8%
Space Separator 43694
 
19.7%
Dash Punctuation 7908
 
3.6%
Open Punctuation 525
 
0.2%
Close Punctuation 513
 
0.2%
Other Punctuation 307
 
0.1%
Uppercase Letter 152
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19807
16.8%
동 11445
 
9.7%
대 11382
 
9.7%
시 10125
 
8.6%
역 10040
 
8.5%
광 10008
 
8.5%
서 3458
 
2.9%
성 2764
 
2.3%
달 2603
 
2.2%
북 1874
 
1.6%
Other values (406) 34283
29.1%
Uppercase Letter
ValueCountFrequency (%)
A 39
25.7%
B 20
13.2%
T 18
11.8%
P 17
11.2%
L 13
 
8.6%
G 12
 
7.9%
C 9
 
5.9%
E 4
 
2.6%
M 4
 
2.6%
R 3
 
2.0%
Other values (8) 13
 
8.6%
Decimal Number
ValueCountFrequency (%)
1 11412
22.6%
0 7291
14.5%
2 6043
12.0%
3 4988
9.9%
4 3931
 
7.8%
5 3805
 
7.6%
6 3501
 
6.9%
7 3365
 
6.7%
8 3056
 
6.1%
9 2993
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
c 3
25.0%
a 2
16.7%
b 2
16.7%
m 1
 
8.3%
e 1
 
8.3%
i 1
 
8.3%
t 1
 
8.3%
p 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 270
87.9%
. 25
 
8.1%
/ 10
 
3.3%
@ 1
 
0.3%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
43694
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7908
100.0%
Open Punctuation
ValueCountFrequency (%)
( 525
100.0%
Close Punctuation
ValueCountFrequency (%)
) 513
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117784
53.2%
Common 103345
46.7%
Latin 164
 
0.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19807
16.8%
동 11445
 
9.7%
대 11382
 
9.7%
시 10125
 
8.6%
역 10040
 
8.5%
광 10008
 
8.5%
서 3458
 
2.9%
성 2764
 
2.3%
달 2603
 
2.2%
북 1874
 
1.6%
Other values (405) 34278
29.1%
Latin
ValueCountFrequency (%)
A 39
23.8%
B 20
12.2%
T 18
11.0%
P 17
10.4%
L 13
 
7.9%
G 12
 
7.3%
C 9
 
5.5%
E 4
 
2.4%
M 4
 
2.4%
R 3
 
1.8%
Other values (16) 25
15.2%
Common
ValueCountFrequency (%)
43694
42.3%
1 11412
 
11.0%
- 7908
 
7.7%
0 7291
 
7.1%
2 6043
 
5.8%
3 4988
 
4.8%
4 3931
 
3.8%
5 3805
 
3.7%
6 3501
 
3.4%
7 3365
 
3.3%
Other values (11) 7407
 
7.2%
Han
ValueCountFrequency (%)
內 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117784
53.2%
ASCII 103509
46.8%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43694
42.2%
1 11412
 
11.0%
- 7908
 
7.6%
0 7291
 
7.0%
2 6043
 
5.8%
3 4988
 
4.8%
4 3931
 
3.8%
5 3805
 
3.7%
6 3501
 
3.4%
7 3365
 
3.3%
Other values (37) 7571
 
7.3%
Hangul
ValueCountFrequency (%)
구 19807
16.8%
동 11445
 
9.7%
대 11382
 
9.7%
시 10125
 
8.6%
역 10040
 
8.5%
광 10008
 
8.5%
서 3458
 
2.9%
성 2764
 
2.3%
달 2603
 
2.2%
북 1874
 
1.6%
Other values (405) 34278
29.1%
CJK
ValueCountFrequency (%)
內 5
100.0%

도로명전체주소
Text

MISSING 

Distinct3269
Distinct (%)93.1%
Missing6488
Missing (%)64.9%
Memory size156.2 KiB
2024-04-18T04:09:56.029378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length58
Mean length27.977506
Min length19

Characters and Unicode

Total characters98257
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

Unique3137 ?
Unique (%)89.3%

Sample

1st row대구광역시 달서구 중흥로 77 (송현동)
2nd row대구광역시 서구 문화로63길 23-1 (평리동)
3rd row대구광역시 남구 효명길 145 (봉덕동)
4th row대구광역시 서구 서대구로 280 (비산동)
5th row대구광역시 동구 동부로 230, 성우빌딩 2층 (효목동)
ValueCountFrequency (%)
대구광역시 3512
 
17.6%
1층 732
 
3.7%
북구 731
 
3.7%
달서구 730
 
3.7%
동구 462
 
2.3%
수성구 392
 
2.0%
서구 346
 
1.7%
남구 314
 
1.6%
중구 293
 
1.5%
달성군 244
 
1.2%
Other values (3265) 12212
61.2%
2024-04-18T04:09:56.506935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16457
 
16.7%
구 7308
 
7.4%
대 4702
 
4.8%
동 4620
 
4.7%
1 4012
 
4.1%
시 3607
 
3.7%
역 3566
 
3.6%
광 3520
 
3.6%
로 3442
 
3.5%
( 3425
 
3.5%
Other values (456) 43598
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58201
59.2%
Space Separator 16457
 
16.7%
Decimal Number 14396
 
14.7%
Open Punctuation 3425
 
3.5%
Close Punctuation 3425
 
3.5%
Other Punctuation 1873
 
1.9%
Dash Punctuation 349
 
0.4%
Uppercase Letter 117
 
0.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7308
 
12.6%
대 4702
 
8.1%
동 4620
 
7.9%
시 3607
 
6.2%
역 3566
 
6.1%
광 3520
 
6.0%
로 3442
 
5.9%
길 1493
 
2.6%
서 1461
 
2.5%
달 1290
 
2.2%
Other values (412) 23192
39.8%
Uppercase Letter
ValueCountFrequency (%)
A 28
23.9%
B 26
22.2%
G 9
 
7.7%
T 8
 
6.8%
C 7
 
6.0%
L 6
 
5.1%
S 5
 
4.3%
P 4
 
3.4%
E 4
 
3.4%
M 4
 
3.4%
Other values (9) 16
13.7%
Decimal Number
ValueCountFrequency (%)
1 4012
27.9%
2 1977
13.7%
3 1499
 
10.4%
0 1271
 
8.8%
4 1161
 
8.1%
5 1152
 
8.0%
6 931
 
6.5%
7 878
 
6.1%
9 773
 
5.4%
8 742
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
28.6%
m 1
14.3%
b 1
14.3%
p 1
14.3%
a 1
14.3%
t 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1866
99.6%
. 5
 
0.3%
@ 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
16457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 349
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58200
59.2%
Common 39932
40.6%
Latin 124
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7308
 
12.6%
대 4702
 
8.1%
동 4620
 
7.9%
시 3607
 
6.2%
역 3566
 
6.1%
광 3520
 
6.0%
로 3442
 
5.9%
길 1493
 
2.6%
서 1461
 
2.5%
달 1290
 
2.2%
Other values (411) 23191
39.8%
Latin
ValueCountFrequency (%)
A 28
22.6%
B 26
21.0%
G 9
 
7.3%
T 8
 
6.5%
C 7
 
5.6%
L 6
 
4.8%
S 5
 
4.0%
P 4
 
3.2%
E 4
 
3.2%
M 4
 
3.2%
Other values (15) 23
18.5%
Common
ValueCountFrequency (%)
16457
41.2%
1 4012
 
10.0%
( 3425
 
8.6%
) 3425
 
8.6%
2 1977
 
5.0%
, 1866
 
4.7%
3 1499
 
3.8%
0 1271
 
3.2%
4 1161
 
2.9%
5 1152
 
2.9%
Other values (9) 3687
 
9.2%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58198
59.2%
ASCII 40056
40.8%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16457
41.1%
1 4012
 
10.0%
( 3425
 
8.6%
) 3425
 
8.6%
2 1977
 
4.9%
, 1866
 
4.7%
3 1499
 
3.7%
0 1271
 
3.2%
4 1161
 
2.9%
5 1152
 
2.9%
Other values (34) 3811
 
9.5%
Hangul
ValueCountFrequency (%)
구 7308
 
12.6%
대 4702
 
8.1%
동 4620
 
7.9%
시 3607
 
6.2%
역 3566
 
6.1%
광 3520
 
6.0%
로 3442
 
5.9%
길 1493
 
2.6%
서 1461
 
2.5%
달 1290
 
2.2%
Other values (409) 23189
39.8%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
50.0%
ㅇ 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1139
Distinct (%)33.1%
Missing6559
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean42029.922
Minimum41001
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:56.634199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41123
Q141518
median41952
Q342620
95-th percentile42946
Maximum43023
Range2022
Interquartile range (IQR)1102

Descriptive statistics

Standard deviation586.51667
Coefficient of variation (CV)0.013954741
Kurtosis-1.2693248
Mean42029.922
Median Absolute Deviation (MAD)503
Skewness0.022528552
Sum1.4462496 × 108
Variance344001.8
MonotonicityNot monotonic
2024-04-18T04:09:56.766645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42415 34
 
0.3%
41845 18
 
0.2%
41581 18
 
0.2%
42620 18
 
0.2%
41423 17
 
0.2%
41453 17
 
0.2%
42612 15
 
0.1%
41586 15
 
0.1%
41007 14
 
0.1%
41505 13
 
0.1%
Other values (1129) 3262
32.6%
(Missing) 6559
65.6%
ValueCountFrequency (%)
41001 2
 
< 0.1%
41002 3
 
< 0.1%
41005 2
 
< 0.1%
41007 14
0.1%
41008 7
0.1%
41017 1
 
< 0.1%
41020 1
 
< 0.1%
41021 1
 
< 0.1%
41022 1
 
< 0.1%
41024 1
 
< 0.1%
ValueCountFrequency (%)
43023 2
 
< 0.1%
43019 4
< 0.1%
43018 5
0.1%
43017 2
 
< 0.1%
43016 1
 
< 0.1%
43014 8
0.1%
43011 2
 
< 0.1%
43009 4
< 0.1%
43008 4
< 0.1%
43007 1
 
< 0.1%

사업장명
Text

Distinct8702
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T04:09:57.052233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length6.6539
Min length1

Characters and Unicode

Total characters66539
Distinct characters870
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

Unique8043 ?
Unique (%)80.4%

Sample

1st row대풍유통
2nd row비디오하우스
3rd row평산교회
4th row경북대학병원(응급센터7층)
5th row성바울로성당
ValueCountFrequency (%)
자판기 217
 
1.9%
세븐일레븐 88
 
0.8%
이마트24 66
 
0.6%
주)휘닉스벤딩서비스 56
 
0.5%
씨유 42
 
0.4%
신우유통 39
 
0.3%
gs25 32
 
0.3%
pc방 28
 
0.3%
지에스(gs)25 25
 
0.2%
영남대의료원 24
 
0.2%
Other values (8951) 10574
94.5%
2024-04-18T04:09:57.441318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1988
 
3.0%
점 1683
 
2.5%
자 1529
 
2.3%
기 1526
 
2.3%
구 1508
 
2.3%
판 1354
 
2.0%
1204
 
1.8%
동 1000
 
1.5%
마 919
 
1.4%
식 918
 
1.4%
Other values (860) 52910
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60739
91.3%
Decimal Number 1472
 
2.2%
Uppercase Letter 1455
 
2.2%
Space Separator 1204
 
1.8%
Close Punctuation 692
 
1.0%
Open Punctuation 690
 
1.0%
Lowercase Letter 168
 
0.3%
Other Punctuation 92
 
0.1%
Dash Punctuation 26
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1988
 
3.3%
점 1683
 
2.8%
자 1529
 
2.5%
기 1526
 
2.5%
구 1508
 
2.5%
판 1354
 
2.2%
동 1000
 
1.6%
마 919
 
1.5%
식 918
 
1.5%
성 873
 
1.4%
Other values (794) 47441
78.1%
Uppercase Letter
ValueCountFrequency (%)
C 358
24.6%
P 201
13.8%
G 197
13.5%
S 185
12.7%
U 111
 
7.6%
K 52
 
3.6%
L 42
 
2.9%
A 34
 
2.3%
E 33
 
2.3%
T 29
 
2.0%
Other values (16) 213
14.6%
Lowercase Letter
ValueCountFrequency (%)
c 31
18.5%
e 23
13.7%
p 20
11.9%
o 17
10.1%
a 12
 
7.1%
n 9
 
5.4%
f 9
 
5.4%
i 8
 
4.8%
k 6
 
3.6%
s 6
 
3.6%
Other values (10) 27
16.1%
Decimal Number
ValueCountFrequency (%)
2 553
37.6%
4 273
18.5%
5 223
15.1%
1 163
 
11.1%
3 88
 
6.0%
0 62
 
4.2%
6 36
 
2.4%
7 31
 
2.1%
8 28
 
1.9%
9 15
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 66
71.7%
, 16
 
17.4%
& 6
 
6.5%
' 2
 
2.2%
/ 2
 
2.2%
Space Separator
ValueCountFrequency (%)
1204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 692
100.0%
Open Punctuation
ValueCountFrequency (%)
( 690
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60733
91.3%
Common 4176
 
6.3%
Latin 1624
 
2.4%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1988
 
3.3%
점 1683
 
2.8%
자 1529
 
2.5%
기 1526
 
2.5%
구 1508
 
2.5%
판 1354
 
2.2%
동 1000
 
1.6%
마 919
 
1.5%
식 918
 
1.5%
성 873
 
1.4%
Other values (792) 47435
78.1%
Latin
ValueCountFrequency (%)
C 358
22.0%
P 201
12.4%
G 197
12.1%
S 185
11.4%
U 111
 
6.8%
K 52
 
3.2%
L 42
 
2.6%
A 34
 
2.1%
E 33
 
2.0%
c 31
 
1.9%
Other values (37) 380
23.4%
Common
ValueCountFrequency (%)
1204
28.8%
) 692
16.6%
( 690
16.5%
2 553
13.2%
4 273
 
6.5%
5 223
 
5.3%
1 163
 
3.9%
3 88
 
2.1%
. 66
 
1.6%
0 62
 
1.5%
Other values (9) 162
 
3.9%
Han
ValueCountFrequency (%)
內 5
83.3%
無 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60731
91.3%
ASCII 5799
 
8.7%
CJK 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1988
 
3.3%
점 1683
 
2.8%
자 1529
 
2.5%
기 1526
 
2.5%
구 1508
 
2.5%
판 1354
 
2.2%
동 1000
 
1.6%
마 919
 
1.5%
식 918
 
1.5%
성 873
 
1.4%
Other values (790) 47433
78.1%
ASCII
ValueCountFrequency (%)
1204
20.8%
) 692
11.9%
( 690
11.9%
2 553
9.5%
C 358
 
6.2%
4 273
 
4.7%
5 223
 
3.8%
P 201
 
3.5%
G 197
 
3.4%
S 185
 
3.2%
Other values (55) 1223
21.1%
CJK
ValueCountFrequency (%)
內 5
83.3%
無 1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
ㅌ 1
50.0%
ㄱ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct5371
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0084123 × 1013
Minimum2.0020116 × 1013
Maximum2.0220929 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:57.552037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020116 × 1013
5-th percentile2.0020327 × 1013
Q12.0021106 × 1013
median2.006033 × 1013
Q32.0130927 × 1013
95-th percentile2.0210701 × 1013
Maximum2.0220929 × 1013
Range2.0081316 × 1011
Interquartile range (IQR)1.0982114 × 1011

Descriptive statistics

Standard deviation6.6031146 × 1010
Coefficient of variation (CV)0.0032877287
Kurtosis-0.83916189
Mean2.0084123 × 1013
Median Absolute Deviation (MAD)3.9799111 × 1010
Skewness0.76549896
Sum2.0084123 × 1017
Variance4.3601123 × 1021
MonotonicityNot monotonic
2024-04-18T04:09:57.661960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031218000000 153
 
1.5%
20021107000000 91
 
0.9%
20020122000000 80
 
0.8%
20020121000000 74
 
0.7%
20020117000000 71
 
0.7%
20020614000000 67
 
0.7%
20020617000000 65
 
0.7%
20021030000000 65
 
0.7%
20020612000000 64
 
0.6%
20020527000000 62
 
0.6%
Other values (5361) 9208
92.1%
ValueCountFrequency (%)
20020116000000 13
 
0.1%
20020117000000 71
0.7%
20020118000000 36
0.4%
20020121000000 74
0.7%
20020122000000 80
0.8%
20020123000000 46
0.5%
20020128000000 2
 
< 0.1%
20020129000000 10
 
0.1%
20020204000000 17
 
0.2%
20020205000000 3
 
< 0.1%
ValueCountFrequency (%)
20220929161459 1
< 0.1%
20220929140357 1
< 0.1%
20220929114136 1
< 0.1%
20220928155437 1
< 0.1%
20220926151636 1
< 0.1%
20220922115030 1
< 0.1%
20220920085655 1
< 0.1%
20220919171221 1
< 0.1%
20220915142725 1
< 0.1%
20220913102040 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8693 
U
1307 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8693
86.9%
U 1307
 
13.1%

Length

2024-04-18T04:09:57.762818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:57.830398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8693
86.9%
u 1307
 
13.1%

데이터갱신일자
Date

Distinct774
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-01 02:40:00
2024-04-18T04:09:57.906870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:09:58.009816image/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

2024-04-18T04:09:58.103623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:58.169299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7433
Distinct (%)79.6%
Missing665
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean342931.62
Minimum325831.39
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:58.243046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325831.39
5-th percentile335106.95
Q1339833.15
median342828.15
Q3345918.1
95-th percentile352851.97
Maximum358060.65
Range32229.256
Interquartile range (IQR)6084.9538

Descriptive statistics

Standard deviation4868.711
Coefficient of variation (CV)0.014197323
Kurtosis0.60283949
Mean342931.62
Median Absolute Deviation (MAD)3044.1597
Skewness0.068855086
Sum3.2012666 × 109
Variance23704346
MonotonicityNot monotonic
2024-04-18T04:09:58.345121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343157.682044 55
 
0.5%
345141.357576 51
 
0.5%
344867.643963 37
 
0.4%
345549.11017 25
 
0.2%
345032.238221 17
 
0.2%
344047.164924 17
 
0.2%
343787.134091 16
 
0.2%
339243.983122 15
 
0.1%
339284.621293 14
 
0.1%
342935.432334 14
 
0.1%
Other values (7423) 9074
90.7%
(Missing) 665
 
6.7%
ValueCountFrequency (%)
325831.391262 1
< 0.1%
326154.899807 1
< 0.1%
326417.272694 1
< 0.1%
326534.608033 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%
356698.367083 1
< 0.1%
356668.763448 1
< 0.1%
356589.560791 2
< 0.1%
356578.373419 1
< 0.1%
356530.179947 1
< 0.1%
356521.273092 1
< 0.1%
356519.71742 1
< 0.1%
356508.020702 1
< 0.1%
356484.612255 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7434
Distinct (%)79.6%
Missing665
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean263575.43
Minimum239380.16
Maximum278909.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:09:58.458883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239380.16
5-th percentile257745.37
Q1261482
median263667.15
Q3265780.53
95-th percentile270912.15
Maximum278909.06
Range39528.895
Interquartile range (IQR)4298.5375

Descriptive statistics

Standard deviation4301.4513
Coefficient of variation (CV)0.016319622
Kurtosis4.7624933
Mean263575.43
Median Absolute Deviation (MAD)2154.1284
Skewness-0.87804225
Sum2.4604767 × 109
Variance18502484
MonotonicityNot monotonic
2024-04-18T04:09:58.570842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261957.795169 55
 
0.5%
267096.362462 51
 
0.5%
264091.210417 37
 
0.4%
268620.845678 25
 
0.2%
262949.871621 17
 
0.2%
265132.987974 17
 
0.2%
264065.576741 16
 
0.2%
268026.454531 15
 
0.1%
270912.150061 14
 
0.1%
264310.975711 14
 
0.1%
Other values (7424) 9074
90.7%
(Missing) 665
 
6.7%
ValueCountFrequency (%)
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%
240481.502376 1
< 0.1%
240550.011807 1
< 0.1%
240739.938523 1
< 0.1%
240930.669713 1
< 0.1%
241113.414701 1
< 0.1%
ValueCountFrequency (%)
278909.058905 1
 
< 0.1%
278336.223852 4
< 0.1%
278318.296599 1
 
< 0.1%
278269.027313 1
 
< 0.1%
278149.556874 2
< 0.1%
278117.387967 1
 
< 0.1%
278081.466697 1
 
< 0.1%
278068.782101 2
< 0.1%
277985.228016 1
 
< 0.1%
277984.852725 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

2024-04-18T04:09:58.680391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:58.746901image/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>
9508 
0
 
492

Length

Max length4
Median length4
Mean length3.8524
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9508
95.1%
0 492
 
4.9%

Length

2024-04-18T04:09:58.821856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:58.895550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9508
95.1%
0 492
 
4.9%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9508 
0
 
492

Length

Max length4
Median length4
Mean length3.8524
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9508
95.1%
0 492
 
4.9%

Length

2024-04-18T04:09:58.970472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:59.040706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9508
95.1%
0 492
 
4.9%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

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>
8154 
상수도전용
1826 
간이상수도
 
14
지하수전용
 
3
전용상수도(특정시설의 자가용 수도)
 
2

Length

Max length19
Median length4
Mean length4.1886
Min length4

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> 8154
81.5%
상수도전용 1826
 
18.3%
간이상수도 14
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-04-18T04:09:59.118002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:59.199153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8154
81.5%
상수도전용 1826
 
18.3%
간이상수도 14
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9535 
0
 
465

Length

Max length4
Median length4
Mean length3.8605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9535
95.3%
0 465
 
4.7%

Length

2024-04-18T04:09:59.292131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:59.369637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9535
95.3%
0 465
 
4.7%

본사직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6691 
<NA>
3286 
1
 
22
500
 
1

Length

Max length4
Median length1
Mean length1.986
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6691
66.9%
<NA> 3286
32.9%
1 22
 
0.2%
500 1
 
< 0.1%

Length

2024-04-18T04:09:59.448483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:59.527332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6691
66.9%
na 3286
32.9%
1 22
 
0.2%
500 1
 
< 0.1%

공장사무직직원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6707 
<NA>
3286 
1
 
7

Length

Max length4
Median length1
Mean length1.9858
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6707
67.1%
<NA> 3286
32.9%
1 7
 
0.1%

Length

2024-04-18T04:09:59.610244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:59.686313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6707
67.1%
na 3286
32.9%
1 7
 
0.1%

공장판매직직원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6560 
<NA>
3286 
1
 
149
2
 
5

Length

Max length4
Median length1
Mean length1.9858
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6560
65.6%
<NA> 3286
32.9%
1 149
 
1.5%
2 5
 
0.1%

Length

2024-04-18T04:09:59.771142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:09:59.849118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6560
65.6%
na 3286
32.9%
1 149
 
1.5%
2 5
 
< 0.1%

공장생산직직원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6710 
<NA>
3286 
1
 
4

Length

Max length4
Median length1
Mean length1.9858
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6710
67.1%
<NA> 3286
32.9%
1 4
 
< 0.1%

Length

2024-04-18T04:10:00.173158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:00.248828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6710
67.1%
na 3286
32.9%
1 4
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7494 
자가
2067 
임대
 
439

Length

Max length4
Median length4
Mean length3.4988
Min length2

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> 7494
74.9%
자가 2067
 
20.7%
임대 439
 
4.4%

Length

2024-04-18T04:10:00.341388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:00.434122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7494
74.9%
자가 2067
 
20.7%
임대 439
 
4.4%

보증액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.5%
Missing8510
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean250338.93
Minimum0
Maximum1 × 108
Zeros1481
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:10:00.503048image/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 deviation4374634
Coefficient of variation (CV)17.474845
Kurtosis439.01846
Mean250338.93
Median Absolute Deviation (MAD)0
Skewness20.479161
Sum3.73005 × 108
Variance1.9137423 × 1013
MonotonicityNot monotonic
2024-04-18T04:10:00.600340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1481
 
14.8%
30000000 2
 
< 0.1%
100000000 2
 
< 0.1%
80000000 1
 
< 0.1%
5000 1
 
< 0.1%
8000000 1
 
< 0.1%
10000000 1
 
< 0.1%
15000000 1
 
< 0.1%
(Missing) 8510
85.1%
ValueCountFrequency (%)
0 1481
14.8%
5000 1
 
< 0.1%
8000000 1
 
< 0.1%
10000000 1
 
< 0.1%
15000000 1
 
< 0.1%
30000000 2
 
< 0.1%
80000000 1
 
< 0.1%
100000000 2
 
< 0.1%
ValueCountFrequency (%)
100000000 2
 
< 0.1%
80000000 1
 
< 0.1%
30000000 2
 
< 0.1%
15000000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
5000 1
 
< 0.1%
0 1481
14.8%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.5%
Missing8511
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean7857.7871
Minimum0
Maximum8000000
Zeros1481
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:10:00.687389image/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 deviation211653.22
Coefficient of variation (CV)26.935474
Kurtosis1369.52
Mean7857.7871
Median Absolute Deviation (MAD)0
Skewness36.392135
Sum11700245
Variance4.4797085 × 1010
MonotonicityNot monotonic
2024-04-18T04:10:00.776560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1481
 
14.8%
500000 2
 
< 0.1%
1100000 1
 
< 0.1%
200000 1
 
< 0.1%
245 1
 
< 0.1%
8000000 1
 
< 0.1%
600000 1
 
< 0.1%
800000 1
 
< 0.1%
(Missing) 8511
85.1%
ValueCountFrequency (%)
0 1481
14.8%
245 1
 
< 0.1%
200000 1
 
< 0.1%
500000 2
 
< 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 2
 
< 0.1%
200000 1
 
< 0.1%
245 1
 
< 0.1%
0 1481
14.8%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-04-18T04:10:00.854809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.057688
Minimum0
Maximum163.66
Zeros9878
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T04:10:00.918049image/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 deviation1.9372548
Coefficient of variation (CV)33.58159
Kurtosis5276.1593
Mean0.057688
Median Absolute Deviation (MAD)0
Skewness67.191418
Sum576.88
Variance3.752956
MonotonicityNot monotonic
2024-04-18T04:10:01.002474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 9878
98.8%
1.0 91
 
0.9%
2.0 9
 
0.1%
3.0 6
 
0.1%
4.0 2
 
< 0.1%
9.66 1
 
< 0.1%
7.0 1
 
< 0.1%
44.22 1
 
< 0.1%
163.66 1
 
< 0.1%
10.2 1
 
< 0.1%
Other values (9) 9
 
0.1%
ValueCountFrequency (%)
0.0 9878
98.8%
1.0 91
 
0.9%
1.5 1
 
< 0.1%
2.0 9
 
0.1%
3.0 6
 
0.1%
3.3 1
 
< 0.1%
4.0 2
 
< 0.1%
6.0 1
 
< 0.1%
7.0 1
 
< 0.1%
9.66 1
 
< 0.1%
ValueCountFrequency (%)
163.66 1
< 0.1%
62.42 1
< 0.1%
50.9 1
< 0.1%
44.22 1
< 0.1%
26.4 1
< 0.1%
25.02 1
< 0.1%
16.6 1
< 0.1%
15.0 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
1112311124식품자동판매기업07_22_10_P34700003470000-112-2001-0056220010906<NA>1영업/정상1영업<NA><NA><NA><NA>053 6290949<NA>704822대구광역시 달서구 송현동 2013-23대구광역시 달서구 중흥로 77 (송현동)42817대풍유통20111103151105I2018-08-31 23:59:59.0식품자동판매기영업340862.098636259815.456918식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
23632364식품자동판매기업07_22_10_P34200003420000-112-1995-0007019950501<NA>3폐업2폐업20051229<NA><NA><NA>053 96415531.0701809대구광역시 동구 신기동 594 안심주공3단지상가 104호<NA><NA>비디오하우스20020328000000I2018-08-31 23:59:59.0식품자동판매기영업353770.913943264178.268383식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
28142815식품자동판매기업07_22_10_P34300003430000-112-2000-0003120000626<NA>3폐업2폐업20220330<NA><NA><NA>053 5528066<NA>703838대구광역시 서구 평리동 772-2대구광역시 서구 문화로63길 23-1 (평리동)41783평산교회20220330141854U2022-04-02 02:40:00.0식품자동판매기영업341530.835387265328.887268식품자동판매기영업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
8990식품자동판매기업07_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>
49884989식품자동판매기업07_22_10_P34400003440000-112-1998-0002619981103<NA>1영업/정상1영업<NA><NA><NA><NA>053 4722201<NA>705835대구광역시 남구 봉덕동 1329-54대구광역시 남구 효명길 145 (봉덕동)42509성바울로성당20190621094349U2019-06-23 02:40:00.0식품자동판매기영업343942.310074260448.509618식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
27852786식품자동판매기업07_22_10_P34300003430000-112-2006-0002520060522<NA>3폐업2폐업20121126<NA><NA><NA>053 3555150<NA>703819대구광역시 서구 비산동 880-9대구광역시 서구 서대구로 280 (비산동)41724쌍둥이돼지국밥20100430101908I2018-08-31 23:59:59.0식품자동판매기영업340456.855018265872.570223식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
64066407식품자동판매기업07_22_10_P34500003450000-112-2002-0008320021007<NA>3폐업2폐업20111230<NA><NA><NA>053 9595980<NA>702831대구광역시 북구 복현동 410-21<NA><NA>종필이네20070508000000I2018-08-31 23:59:59.0식품자동판매기영업345686.454681267335.650508식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
26152616식품자동판매기업07_22_10_P34200003420000-112-2022-0000320220316<NA>1영업/정상1영업<NA><NA><NA><NA><NA>2.0701844대구광역시 동구 효목동 377-1 성우빌딩대구광역시 동구 동부로 230, 성우빌딩 2층 (효목동)41233매일찬20220331174611U2022-04-02 02:40:00.0식품자동판매기영업347712.198361265678.001717식품자동판매기영업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
31453146식품자동판매기업07_22_10_P34300003430000-112-2005-0001320050221<NA>3폐업2폐업20060224<NA><NA><NA><NA><NA>703804대구광역시 서구 내당동 468-1<NA><NA>달성문고20050321000000I2018-08-31 23:59:59.0식품자동판매기영업340319.344539262980.458444식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
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