Overview

Dataset statistics

Number of variables47
Number of observations45
Missing cells533
Missing cells (%)25.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.8 KiB
Average record size in memory405.8 B

Variable types

Numeric8
Categorical29
Unsupported9
Boolean1

Dataset

Description23년06월_6270000_대구광역시_07_22_12_P_식품첨가물제조업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098740&provdMethod=FILE

Alerts

개방서비스명 has constant value "식품첨가물제조업"Constant
개방서비스아이디 has constant value "07_22_12_P"Constant
업태구분명 has constant value "식품첨가물제조업"Constant
위생업태명 has constant value "식품첨가물제조업"Constant
다중이용업소여부 has constant value "False"Constant
급수시설구분명 is highly imbalanced (72.4%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 20 (44.4%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
소재지전화 has 10 (22.2%) missing valuesMissing
소재지면적 has 2 (4.4%) missing valuesMissing
소재지우편번호 has 1 (2.2%) missing valuesMissing
도로명전체주소 has 8 (17.8%) missing valuesMissing
도로명우편번호 has 8 (17.8%) missing valuesMissing
좌표정보(X) has 7 (15.6%) missing valuesMissing
좌표정보(Y) has 7 (15.6%) missing valuesMissing
영업장주변구분명 has 45 (100.0%) missing valuesMissing
등급구분명 has 45 (100.0%) missing valuesMissing
급수시설구분명 has 24 (53.3%) missing valuesMissing
공장생산직직원수 has 11 (24.4%) missing valuesMissing
건물소유구분명 has 30 (66.7%) missing valuesMissing
전통업소지정번호 has 45 (100.0%) missing valuesMissing
전통업소주된음식 has 45 (100.0%) missing valuesMissing
홈페이지 has 45 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 2 (4.4%) zerosZeros
공장생산직직원수 has 20 (44.4%) zerosZeros
시설총규모 has 38 (84.4%) zerosZeros

Reproduction

Analysis started2023-07-15 13:23:18.270252
Analysis finished2023-07-15 13:23:19.336379
Duration1.07 second
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:19.452215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-07-15T22:23:19.710711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
12 1
 
2.2%
3 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
6 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
9 1
 
2.2%
10 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

개방서비스명
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
식품첨가물제조업
45 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 45
100.0%

Length

2023-07-15T22:23:19.940356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:20.155815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 45
100.0%

개방서비스아이디
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
07_22_12_P
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_12_P
2nd row07_22_12_P
3rd row07_22_12_P
4th row07_22_12_P
5th row07_22_12_P

Common Values

ValueCountFrequency (%)
07_22_12_P 45
100.0%

Length

2023-07-15T22:23:20.338185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:20.574725image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
07_22_12_p 45
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3458666.7
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:20.735515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3430000
Q13440000
median3470000
Q33480000
95-th percentile3480000
Maximum3480000
Range60000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation19840.271
Coefficient of variation (CV)0.005736393
Kurtosis-1.1506105
Mean3458666.7
Median Absolute Deviation (MAD)10000
Skewness-0.5195909
Sum1.5564 × 108
Variance3.9363636 × 108
MonotonicityIncreasing
2023-07-15T22:23:20.942667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3470000 12
26.7%
3480000 12
26.7%
3430000 7
15.6%
3450000 7
15.6%
3440000 3
 
6.7%
3420000 2
 
4.4%
3460000 2
 
4.4%
ValueCountFrequency (%)
3420000 2
 
4.4%
3430000 7
15.6%
3440000 3
 
6.7%
3450000 7
15.6%
3460000 2
 
4.4%
3470000 12
26.7%
3480000 12
26.7%
ValueCountFrequency (%)
3480000 12
26.7%
3470000 12
26.7%
3460000 2
 
4.4%
3450000 7
15.6%
3440000 3
 
6.7%
3430000 7
15.6%
3420000 2
 
4.4%

관리번호
Categorical

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
3420000-108-2011-00001
 
1
3420000-108-2014-00001
 
1
3430000-108-2011-00002
 
1
3430000-108-2023-00002
 
1
3430000-108-2019-00001
 
1
Other values (40)
40 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row3420000-108-2011-00001
2nd row3420000-108-2014-00001
3rd row3430000-108-2011-00002
4th row3430000-108-2023-00002
5th row3430000-108-2019-00001

Common Values

ValueCountFrequency (%)
3420000-108-2011-00001 1
 
2.2%
3420000-108-2014-00001 1
 
2.2%
3430000-108-2011-00002 1
 
2.2%
3430000-108-2023-00002 1
 
2.2%
3430000-108-2019-00001 1
 
2.2%
3430000-108-2019-00002 1
 
2.2%
3430000-108-2011-00004 1
 
2.2%
3430000-108-2011-00003 1
 
2.2%
3430000-108-2011-00001 1
 
2.2%
3440000-108-2021-00001 1
 
2.2%
Other values (35) 35
77.8%

Length

2023-07-15T22:23:21.166708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3420000-108-2011-00001 1
 
2.2%
3470000-108-2022-00001 1
 
2.2%
3470000-108-2014-00001 1
 
2.2%
3470000-108-2018-00001 1
 
2.2%
3470000-108-2016-00001 1
 
2.2%
3470000-108-2015-00001 1
 
2.2%
3470000-108-2014-00002 1
 
2.2%
3470000-108-2012-00001 1
 
2.2%
3470000-108-2011-00002 1
 
2.2%
3470000-108-2011-00001 1
 
2.2%
Other values (35) 35
77.8%

인허가일자
Categorical

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size488.0 B
2012-03-13
 
2
2014-11-13
 
2
2007-07-26
 
2
2021-11-18
 
1
2006-03-20
 
1
Other values (37)
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique39 ?
Unique (%)86.7%

Sample

1st row2011-12-29
2nd row2014-11-13
3rd row2004-07-05
4th row2023-04-26
5th row2019-02-20

Common Values

ValueCountFrequency (%)
2012-03-13 2
 
4.4%
2014-11-13 2
 
4.4%
2007-07-26 2
 
4.4%
2021-11-18 1
 
2.2%
2006-03-20 1
 
2.2%
2022-07-21 1
 
2.2%
2021-12-10 1
 
2.2%
2004-07-05 1
 
2.2%
2023-04-26 1
 
2.2%
2019-02-20 1
 
2.2%
Other values (32) 32
71.1%

Length

2023-07-15T22:23:21.374145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2012-03-13 2
 
4.4%
2007-07-26 2
 
4.4%
2014-11-13 2
 
4.4%
2002-01-03 1
 
2.2%
2016-06-15 1
 
2.2%
2005-01-20 1
 
2.2%
2012-09-21 1
 
2.2%
1989-08-29 1
 
2.2%
2003-01-23 1
 
2.2%
2020-06-24 1
 
2.2%
Other values (32) 32
71.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
3
25 
1
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 25
55.6%
1 20
44.4%

Length

2023-07-15T22:23:21.582957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:21.817402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3 25
55.6%
1 20
44.4%

영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
폐업
25 
영업/정상
20 

Length

Max length5
Median length2
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 25
55.6%
영업/정상 20
44.4%

Length

2023-07-15T22:23:22.029925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:22.254965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 25
55.6%
영업/정상 20
44.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
2
25 
1
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 25
55.6%
1 20
44.4%

Length

2023-07-15T22:23:22.437361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:22.685586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2 25
55.6%
1 20
44.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
폐업
25 
영업
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 25
55.6%
영업 20
44.4%

Length

2023-07-15T22:23:22.880458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:23.342398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 25
55.6%
영업 20
44.4%

폐업일자
Categorical

Distinct25
Distinct (%)100.0%
Missing20
Missing (%)44.4%
Memory size488.0 B
2013-09-06
 
1
2010-12-01
 
1
2020-06-19
 
1
2007-10-26
 
1
2023-03-03
 
1
Other values (20)
20 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row2013-09-06
2nd row2017-07-31
3rd row2010-12-01
4th row2020-06-19
5th row2007-10-26

Common Values

ValueCountFrequency (%)
2013-09-06 1
 
2.2%
2010-12-01 1
 
2.2%
2020-06-19 1
 
2.2%
2007-10-26 1
 
2.2%
2023-03-03 1
 
2.2%
2006-06-12 1
 
2.2%
2016-11-24 1
 
2.2%
2015-07-02 1
 
2.2%
2021-11-15 1
 
2.2%
2019-12-09 1
 
2.2%
Other values (15) 15
33.3%
(Missing) 20
44.4%

Length

2023-07-15T22:23:23.697183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2013-09-06 1
 
4.0%
2019-01-29 1
 
4.0%
2023-05-31 1
 
4.0%
2008-06-25 1
 
4.0%
2006-05-26 1
 
4.0%
2004-12-31 1
 
4.0%
2013-11-04 1
 
4.0%
2011-07-27 1
 
4.0%
2013-11-06 1
 
4.0%
2016-02-03 1
 
4.0%
Other values (15) 15
60.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

소재지전화
Categorical

Distinct33
Distinct (%)94.3%
Missing10
Missing (%)22.2%
Memory size488.0 B
15662723
 
2
053 592 0661
 
2
053 5237589
 
1
053523 5672
 
1
0535656597
 
1
Other values (28)
28 

Length

Max length12
Median length11
Mean length10.828571
Min length8

Unique

Unique31 ?
Unique (%)88.6%

Sample

1st row053 981 3886
2nd row053 965 6581
3rd row053 5237589
4th row053523 5672
5th row0535656597

Common Values

ValueCountFrequency (%)
15662723 2
 
4.4%
053 592 0661 2
 
4.4%
053 5237589 1
 
2.2%
053523 5672 1
 
2.2%
0535656597 1
 
2.2%
053 5652600 1
 
2.2%
0535671635 1
 
2.2%
053 423 2776 1
 
2.2%
054 931 3200 1
 
2.2%
005303113848 1
 
2.2%
Other values (23) 23
51.1%
(Missing) 10
22.2%

Length

2023-07-15T22:23:24.204180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053 15
 
21.7%
15662723 3
 
4.3%
616 3
 
4.3%
592 2
 
2.9%
0661 2
 
2.9%
5171 1
 
1.4%
0536418493 1
 
1.4%
0536340708 1
 
1.4%
0432 1
 
1.4%
767 1
 
1.4%
Other values (39) 39
56.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)95.3%
Missing2
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean178.04442
Minimum0
Maximum1252.25
Zeros2
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:24.586754image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.121
Q150.5
median76.47
Q3225.83
95-th percentile553.459
Maximum1252.25
Range1252.25
Interquartile range (IQR)175.33

Descriptive statistics

Standard deviation234.65828
Coefficient of variation (CV)1.3179761
Kurtosis9.6367889
Mean178.04442
Median Absolute Deviation (MAD)47.47
Skewness2.7211987
Sum7655.91
Variance55064.509
MonotonicityNot monotonic
2023-07-15T22:23:24.900074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
112.0 2
 
4.4%
0.0 2
 
4.4%
18.5 1
 
2.2%
305.0 1
 
2.2%
268.41 1
 
2.2%
60.48 1
 
2.2%
494.0 1
 
2.2%
580.0 1
 
2.2%
1252.25 1
 
2.2%
47.8 1
 
2.2%
Other values (31) 31
68.9%
(Missing) 2
 
4.4%
ValueCountFrequency (%)
0.0 2
4.4%
10.45 1
2.2%
17.16 1
2.2%
18.5 1
2.2%
18.98 1
2.2%
19.8 1
2.2%
29.0 1
2.2%
42.38 1
2.2%
47.8 1
2.2%
50.0 1
2.2%
ValueCountFrequency (%)
1252.25 1
2.2%
580.0 1
2.2%
556.8 1
2.2%
523.39 1
2.2%
494.0 1
2.2%
443.66 1
2.2%
396.0 1
2.2%
351.0 1
2.2%
305.0 1
2.2%
290.8 1
2.2%

소재지우편번호
Categorical

Distinct27
Distinct (%)61.4%
Missing1
Missing (%)2.2%
Memory size488.0 B
711-855
6 
704-833
3 
704-900
3 
703-830
3 
702-800
 
2
Other values (22)
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique17 ?
Unique (%)38.6%

Sample

1st row701-807
2nd row701-260
3rd row703-831
4th row703-830
5th row703-833

Common Values

ValueCountFrequency (%)
711-855 6
 
13.3%
704-833 3
 
6.7%
704-900 3
 
6.7%
703-830 3
 
6.7%
702-800 2
 
4.4%
704-801 2
 
4.4%
706-848 2
 
4.4%
703-833 2
 
4.4%
711-843 2
 
4.4%
704-920 2
 
4.4%
Other values (17) 17
37.8%

Length

2023-07-15T22:23:25.233106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
711-855 6
 
13.6%
704-900 3
 
6.8%
703-830 3
 
6.8%
704-833 3
 
6.8%
703-833 2
 
4.5%
711-843 2
 
4.5%
704-920 2
 
4.5%
706-848 2
 
4.5%
704-801 2
 
4.5%
702-800 2
 
4.5%
Other values (17) 17
38.6%

소재지전체주소
Categorical

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size488.0 B
대구광역시 달성군 옥포면 교항리 1068번지
 
2
대구광역시 달서구 월암동 1072-12번지
 
2
대구광역시 수성구 파동 128-21
 
1
대구광역시 북구 대현동 412-5
 
1
대구광역시
 
1
Other values (38)
38 

Length

Max length35
Median length26
Mean length22.2
Min length7

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row대구광역시 동구 불로동 1074-6번지
2nd row대구광역시 동구 율암동 1103-13번지
3rd row대구광역시 서구 중리동 40-13번지
4th row대구광역시 서구 이현동 42-534
5th row대구광역시 서구 중리동 1066

Common Values

ValueCountFrequency (%)
대구광역시 달성군 옥포면 교항리 1068번지 2
 
4.4%
대구광역시 달서구 월암동 1072-12번지 2
 
4.4%
대구광역시 수성구 파동 128-21 1
 
2.2%
대구광역시 북구 대현동 412-5 1
 
2.2%
대구광역시 1
 
2.2%
대구광역시 서구 중리동 40-13번지 1
 
2.2%
대구광역시 서구 이현동 42-534 1
 
2.2%
대구광역시 서구 중리동 1066 1
 
2.2%
대구광역시 서구 중리동 905-10번지 1
 
2.2%
대구광역시 서구 이현동 42-432번지 1층 1
 
2.2%
Other values (33) 33
73.3%

Length

2023-07-15T22:23:25.582719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 45
23.4%
달서구 12
 
6.2%
달성군 12
 
6.2%
서구 7
 
3.6%
북구 7
 
3.6%
논공읍 7
 
3.6%
본리리 6
 
3.1%
이현동 4
 
2.1%
월암동 3
 
1.6%
갈산동 3
 
1.6%
Other values (72) 86
44.8%

도로명전체주소
Categorical

Distinct37
Distinct (%)100.0%
Missing8
Missing (%)17.8%
Memory size488.0 B
대구광역시 남구 중앙대로48길 35-6, 1층 (대명동)
 
1
대구광역시 수성구 파동로32길 16 (파동)
 
1
대구광역시 서구 서대구로25길 19 (중리동)
 
1
대구광역시 서구 문화로 22-17, 1층 (이현동)
 
1
대구광역시 서구 국채보상로20길 32 (중리동)
 
1
Other values (32)
32 

Length

Max length47
Median length31
Mean length27.351351
Min length21

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 방천로6길 36 (불로동)
2nd row대구광역시 동구 매여로 62, 1층 (율암동)
3rd row대구광역시 서구 서대구로25길 19 (중리동)
4th row대구광역시 서구 문화로 22-17, 1층 (이현동)
5th row대구광역시 서구 국채보상로20길 32 (중리동)

Common Values

ValueCountFrequency (%)
대구광역시 남구 중앙대로48길 35-6, 1층 (대명동) 1
 
2.2%
대구광역시 수성구 파동로32길 16 (파동) 1
 
2.2%
대구광역시 서구 서대구로25길 19 (중리동) 1
 
2.2%
대구광역시 서구 문화로 22-17, 1층 (이현동) 1
 
2.2%
대구광역시 서구 국채보상로20길 32 (중리동) 1
 
2.2%
대구광역시 서구 와룡로73길 57-6 (중리동) 1
 
2.2%
대구광역시 서구 문화로 121 (이현동) 1
 
2.2%
대구광역시 남구 봉덕로9길 8, 1층 (봉덕동) 1
 
2.2%
대구광역시 북구 칠성남로35길 5 (칠성동2가) 1
 
2.2%
대구광역시 동구 방천로6길 36 (불로동) 1
 
2.2%
Other values (27) 27
60.0%
(Missing) 8
 
17.8%

Length

2023-07-15T22:23:25.832657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 37
 
17.7%
1층 15
 
7.2%
달서구 11
 
5.3%
달성군 8
 
3.8%
북구 7
 
3.3%
논공읍 5
 
2.4%
서구 5
 
2.4%
중리동 3
 
1.4%
갈산동 3
 
1.4%
21 3
 
1.4%
Other values (92) 112
53.6%

도로명우편번호
Real number (ℝ)

Distinct32
Distinct (%)86.5%
Missing8
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean42286.514
Minimum41042
Maximum42983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:26.104938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41042
5-th percentile41390.6
Q141753
median42697
Q342742
95-th percentile42983
Maximum42983
Range1941
Interquartile range (IQR)989

Descriptive statistics

Standard deviation624.57695
Coefficient of variation (CV)0.014770122
Kurtosis-1.2530381
Mean42286.514
Median Absolute Deviation (MAD)286
Skewness-0.50026568
Sum1564601
Variance390096.37
MonotonicityNot monotonic
2023-07-15T22:23:26.373543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
42983 3
 
6.7%
42721 2
 
4.4%
42230 2
 
4.4%
42702 2
 
4.4%
41546 1
 
2.2%
42982 1
 
2.2%
41833 1
 
2.2%
41753 1
 
2.2%
41841 1
 
2.2%
41755 1
 
2.2%
Other values (22) 22
48.9%
(Missing) 8
 
17.8%
ValueCountFrequency (%)
41042 1
2.2%
41065 1
2.2%
41472 1
2.2%
41485 1
2.2%
41512 1
2.2%
41521 1
2.2%
41546 1
2.2%
41572 1
2.2%
41580 1
2.2%
41753 1
2.2%
ValueCountFrequency (%)
42983 3
6.7%
42982 1
 
2.2%
42981 1
 
2.2%
42934 1
 
2.2%
42907 1
 
2.2%
42901 1
 
2.2%
42769 1
 
2.2%
42742 1
 
2.2%
42721 2
4.4%
42720 1
 
2.2%

사업장명
Categorical

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size488.0 B
(주)자숨
 
3
동창C&F
 
2
미남메디칼
 
2
태경농산(주)
 
2
함께해요
 
1
Other values (35)
35 

Length

Max length11
Median length9
Mean length6.0666667
Min length2

Unique

Unique36 ?
Unique (%)80.0%

Sample

1st row매봉산야초건강원
2nd row(주)프리나
3rd row생림목초
4th row한국네츄럴팜
5th row일지스타치

Common Values

ValueCountFrequency (%)
(주)자숨 3
 
6.7%
동창C&F 2
 
4.4%
미남메디칼 2
 
4.4%
태경농산(주) 2
 
4.4%
함께해요 1
 
2.2%
생림목초 1
 
2.2%
한국네츄럴팜 1
 
2.2%
일지스타치 1
 
2.2%
뉴트리디언 1
 
2.2%
(주)에듀커뮤니티 1
 
2.2%
Other values (30) 30
66.7%

Length

2023-07-15T22:23:27.025503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주)자숨 3
 
6.2%
주식회사 2
 
4.2%
미남메디칼 2
 
4.2%
태경농산(주 2
 
4.2%
동창c&f 2
 
4.2%
나노라이프 1
 
2.1%
매봉산야초건강원 1
 
2.1%
대율코리아 1
 
2.1%
주)멀티바이오 1
 
2.1%
주)팩슨 1
 
2.1%
Other values (32) 32
66.7%

최종수정시점
Categorical

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size488.0 B
2006-08-18 22:29:41
4 
2023-03-03 16:52:41
 
1
2019-01-29 11:29:27
 
1
2014-01-13 10:41:26
 
1
2023-04-26 17:03:13
 
1
Other values (37)
37 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row2012-02-13 10:28:37
2nd row2017-07-31 09:22:11
3rd row2014-01-13 10:41:26
4th row2023-04-26 17:03:13
5th row2020-11-04 16:54:18

Common Values

ValueCountFrequency (%)
2006-08-18 22:29:41 4
 
8.9%
2023-03-03 16:52:41 1
 
2.2%
2019-01-29 11:29:27 1
 
2.2%
2014-01-13 10:41:26 1
 
2.2%
2023-04-26 17:03:13 1
 
2.2%
2020-11-04 16:54:18 1
 
2.2%
2019-09-26 17:52:29 1
 
2.2%
2010-12-02 23:04:09 1
 
2.2%
2020-06-18 17:26:38 1
 
2.2%
2007-12-28 11:29:53 1
 
2.2%
Other values (32) 32
71.1%

Length

2023-07-15T22:23:27.260762image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2006-08-18 4
 
4.4%
22:29:41 4
 
4.4%
17:17:09 1
 
1.1%
11:52:22 1
 
1.1%
2012-10-11 1
 
1.1%
12:53:27 1
 
1.1%
2014-11-13 1
 
1.1%
14:37:20 1
 
1.1%
2017-11-06 1
 
1.1%
14:54:58 1
 
1.1%
Other values (74) 74
82.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
I
28 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 28
62.2%
U 17
37.8%

Length

2023-07-15T22:23:27.500046image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:27.747569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
i 28
62.2%
u 17
37.8%

데이터갱신일자
Categorical

Distinct24
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size488.0 B
2018-08-31 23:59:59
22 
2023-04-28 00:20:06
 
1
2020-11-06 02:40:00
 
1
2019-09-28 02:22:39
 
1
2020-06-20 02:40:00
 
1
Other values (19)
19 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique23 ?
Unique (%)51.1%

Sample

1st row2018-08-31 23:59:59
2nd row2018-08-31 23:59:59
3rd row2018-08-31 23:59:59
4th row2023-04-28 00:20:06
5th row2020-11-06 02:40:00

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 22
48.9%
2023-04-28 00:20:06 1
 
2.2%
2020-11-06 02:40:00 1
 
2.2%
2019-09-28 02:22:39 1
 
2.2%
2020-06-20 02:40:00 1
 
2.2%
2023-03-05 02:40:00 1
 
2.2%
2021-11-17 02:40:00 1
 
2.2%
2019-12-11 02:40:00 1
 
2.2%
2022-08-20 00:22:27 1
 
2.2%
2020-01-12 02:40:00 1
 
2.2%
Other values (14) 14
31.1%

Length

2023-07-15T22:23:27.957124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 22
24.4%
23:59:59 22
24.4%
02:40:00 17
18.9%
2019-08-18 1
 
1.1%
2019-07-10 1
 
1.1%
00:23:33 1
 
1.1%
2020-07-23 1
 
1.1%
2023-01-04 1
 
1.1%
2019-01-31 1
 
1.1%
2021-06-25 1
 
1.1%
Other values (22) 22
24.4%

업태구분명
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
식품첨가물제조업
45 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 45
100.0%

Length

2023-07-15T22:23:28.195569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:28.472322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 45
100.0%

좌표정보(X)
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing7
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean339303.01
Minimum331549.9
Maximum354057.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:28.697931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum331549.9
5-th percentile332284.51
Q1335376.9
median338674.54
Q3343987.7
95-th percentile346973
Maximum354057.06
Range22507.166
Interquartile range (IQR)8610.8057

Descriptive statistics

Standard deviation5461.0107
Coefficient of variation (CV)0.01609479
Kurtosis-0.22762624
Mean339303.01
Median Absolute Deviation (MAD)3679.577
Skewness0.59972281
Sum12893514
Variance29822638
MonotonicityNot monotonic
2023-07-15T22:23:28.968090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
336398.016152883 2
 
4.4%
345860.314979957 2
 
4.4%
336602.547837743 1
 
2.2%
344778.061422376 1
 
2.2%
338556.064910971 1
 
2.2%
339073.435022745 1
 
2.2%
338275.809657969 1
 
2.2%
338793.007771474 1
 
2.2%
339525.522507514 1
 
2.2%
343831.402900207 1
 
2.2%
Other values (26) 26
57.8%
(Missing) 7
 
15.6%
ValueCountFrequency (%)
331549.895399357 1
2.2%
332256.023428706 1
2.2%
332289.538415827 1
2.2%
332506.529810745 1
2.2%
332716.3157234 1
2.2%
332803.386146654 1
2.2%
333265.664043817 1
2.2%
335172.148565082 1
2.2%
335324.183515395 1
2.2%
335334.429366382 1
2.2%
ValueCountFrequency (%)
354057.061461348 1
2.2%
347546.799156598 1
2.2%
346871.742988257 1
2.2%
346717.496771053 1
2.2%
346695.651935644 1
2.2%
345860.314979957 2
4.4%
344778.061422376 1
2.2%
344360.920959556 1
2.2%
344039.802160767 1
2.2%
343831.402900207 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing7
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean261698.23
Minimum249041.86
Maximum271660.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:29.209832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum249041.86
5-th percentile249357.49
Q1259068.27
median262036.07
Q3265935.35
95-th percentile269264.28
Maximum271660.6
Range22618.745
Interquartile range (IQR)6867.0813

Descriptive statistics

Standard deviation5993.9742
Coefficient of variation (CV)0.022904145
Kurtosis0.094125944
Mean261698.23
Median Absolute Deviation (MAD)3276.7737
Skewness-0.75832193
Sum9944532.6
Variance35927727
MonotonicityNot monotonic
2023-07-15T22:23:29.427661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
260311.428494633 2
 
4.4%
258731.024724141 2
 
4.4%
257380.344146116 1
 
2.2%
266152.281770011 1
 
2.2%
264727.383325949 1
 
2.2%
263923.741815619 1
 
2.2%
264083.230571136 1
 
2.2%
264583.218991959 1
 
2.2%
264887.686660799 1
 
2.2%
262564.892454546 1
 
2.2%
Other values (26) 26
57.8%
(Missing) 7
 
15.6%
ValueCountFrequency (%)
249041.859159163 1
2.2%
249300.581566346 1
2.2%
249367.538520483 1
2.2%
250052.269533888 1
2.2%
250134.805730294 1
2.2%
256884.837252604 1
2.2%
257380.344146116 1
2.2%
258731.024724141 2
4.4%
258963.271545961 1
2.2%
259383.277395327 1
2.2%
ValueCountFrequency (%)
271660.604411499 1
2.2%
269547.85021217 1
2.2%
269214.234994931 1
2.2%
269165.840390453 1
2.2%
268503.372846724 1
2.2%
267516.161612859 1
2.2%
267419.098375089 1
2.2%
266670.097559841 1
2.2%
266430.044263794 1
2.2%
266152.281770011 1
2.2%

위생업태명
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
식품첨가물제조업
45 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 45
100.0%

Length

2023-07-15T22:23:29.781168image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:30.041520image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 45
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
<NA>
36 
0
9 

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
80.0%
0 9
 
20.0%

Length

2023-07-15T22:23:30.235247image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:30.479897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 36
80.0%
0 9
 
20.0%

여성종사자수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
<NA>
36 
0
9 

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
80.0%
0 9
 
20.0%

Length

2023-07-15T22:23:30.792674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:31.073598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 36
80.0%
0 9
 
20.0%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

급수시설구분명
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)9.5%
Missing24
Missing (%)53.3%
Memory size488.0 B
상수도전용
20 
간이상수도
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 20
44.4%
간이상수도 1
 
2.2%
(Missing) 24
53.3%

Length

2023-07-15T22:23:31.260824image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:31.475371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 20
95.2%
간이상수도 1
 
4.8%

총직원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
<NA>
36 
0
9 

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
80.0%
0 9
 
20.0%

Length

2023-07-15T22:23:31.672551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:31.888441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 36
80.0%
0 9
 
20.0%

본사직원수
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size488.0 B
0
30 
<NA>
14 
1
 
1

Length

Max length4
Median length1
Mean length1.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
66.7%
<NA> 14
31.1%
1 1
 
2.2%

Length

2023-07-15T22:23:32.051889image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:32.276885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 30
66.7%
na 14
31.1%
1 1
 
2.2%

공장사무직직원수
Categorical

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size488.0 B
0
22 
<NA>
11 
1
7 
2
4 
9
 
1

Length

Max length4
Median length1
Mean length1.7333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
48.9%
<NA> 11
24.4%
1 7
 
15.6%
2 4
 
8.9%
9 1
 
2.2%

Length

2023-07-15T22:23:32.481040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:32.711507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 22
48.9%
na 11
24.4%
1 7
 
15.6%
2 4
 
8.9%
9 1
 
2.2%

공장판매직직원수
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size488.0 B
0
28 
<NA>
14 
1
 
2
5
 
1

Length

Max length4
Median length1
Mean length1.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
62.2%
<NA> 14
31.1%
1 2
 
4.4%
5 1
 
2.2%

Length

2023-07-15T22:23:32.907004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:33.192154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 28
62.2%
na 14
31.1%
1 2
 
4.4%
5 1
 
2.2%

공장생산직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)20.6%
Missing11
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean1.7058824
Minimum0
Maximum19
Zeros20
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:33.426637image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile7.4
Maximum19
Range19
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation3.7781622
Coefficient of variation (CV)2.2147848
Kurtosis13.66614
Mean1.7058824
Median Absolute Deviation (MAD)0
Skewness3.4700565
Sum58
Variance14.27451
MonotonicityNot monotonic
2023-07-15T22:23:33.604050image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 20
44.4%
1 5
 
11.1%
2 4
 
8.9%
6 2
 
4.4%
19 1
 
2.2%
4 1
 
2.2%
10 1
 
2.2%
(Missing) 11
24.4%
ValueCountFrequency (%)
0 20
44.4%
1 5
 
11.1%
2 4
 
8.9%
4 1
 
2.2%
6 2
 
4.4%
10 1
 
2.2%
19 1
 
2.2%
ValueCountFrequency (%)
19 1
 
2.2%
10 1
 
2.2%
6 2
 
4.4%
4 1
 
2.2%
2 4
 
8.9%
1 5
 
11.1%
0 20
44.4%

건물소유구분명
Categorical

Distinct2
Distinct (%)13.3%
Missing30
Missing (%)66.7%
Memory size488.0 B
임대
10 
자가
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row임대
2nd row임대
3rd row자가
4th row임대
5th row임대

Common Values

ValueCountFrequency (%)
임대 10
 
22.2%
자가 5
 
11.1%
(Missing) 30
66.7%

Length

2023-07-15T22:23:33.833211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:34.013111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
임대 10
66.7%
자가 5
33.3%

보증액
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size488.0 B
<NA>
25 
0
18 
500000
 
1
13000000
 
1

Length

Max length8
Median length4
Mean length2.9333333
Min length1

Unique

Unique2 ?
Unique (%)4.4%

Sample

1st row<NA>
2nd row<NA>
3rd row500000
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
55.6%
0 18
40.0%
500000 1
 
2.2%
13000000 1
 
2.2%

Length

2023-07-15T22:23:34.473380image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:34.737413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 25
55.6%
0 18
40.0%
500000 1
 
2.2%
13000000 1
 
2.2%

월세액
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size488.0 B
<NA>
25 
0
18 
250000
 
1
1300000
 
1

Length

Max length7
Median length4
Mean length2.9111111
Min length1

Unique

Unique2 ?
Unique (%)4.4%

Sample

1st row<NA>
2nd row<NA>
3rd row250000
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
55.6%
0 18
40.0%
250000 1
 
2.2%
1300000 1
 
2.2%

Length

2023-07-15T22:23:34.974522image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:35.243860image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 25
55.6%
0 18
40.0%
250000 1
 
2.2%
1300000 1
 
2.2%

다중이용업소여부
Boolean

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size173.0 B
False
45 
ValueCountFrequency (%)
False 45
100.0%
2023-07-15T22:23:35.489670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

시설총규모
Real number (ℝ)

Distinct8
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2622222
Minimum0
Maximum299.3
Zeros38
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-15T22:23:35.689233image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile31.308
Maximum299.3
Range299.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.272802
Coefficient of variation (CV)4.8878984
Kurtosis40.694265
Mean9.2622222
Median Absolute Deviation (MAD)0
Skewness6.2740909
Sum416.8
Variance2049.6266
MonotonicityNot monotonic
2023-07-15T22:23:35.884236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 38
84.4%
299.3 1
 
2.2%
54.0 1
 
2.2%
2.5 1
 
2.2%
6.46 1
 
2.2%
7.5 1
 
2.2%
36.5 1
 
2.2%
10.54 1
 
2.2%
ValueCountFrequency (%)
0.0 38
84.4%
2.5 1
 
2.2%
6.46 1
 
2.2%
7.5 1
 
2.2%
10.54 1
 
2.2%
36.5 1
 
2.2%
54.0 1
 
2.2%
299.3 1
 
2.2%
ValueCountFrequency (%)
299.3 1
 
2.2%
54.0 1
 
2.2%
36.5 1
 
2.2%
10.54 1
 
2.2%
7.5 1
 
2.2%
6.46 1
 
2.2%
2.5 1
 
2.2%
0.0 38
84.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품첨가물제조업07_22_12_P34200003420000-108-2011-000012011-12-29<NA>3폐업2폐업2013-09-06<NA><NA><NA>053 981 388629.0701-807대구광역시 동구 불로동 1074-6번지대구광역시 동구 방천로6길 36 (불로동)41042매봉산야초건강원2012-02-13 10:28:37I2018-08-31 23:59:59식품첨가물제조업347546.799157267516.161613식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
12식품첨가물제조업07_22_12_P34200003420000-108-2014-000012014-11-13<NA>3폐업2폐업2017-07-31<NA><NA><NA>053 965 6581305.0701-260대구광역시 동구 율암동 1103-13번지대구광역시 동구 매여로 62, 1층 (율암동)41065(주)프리나2017-07-31 09:22:11I2018-08-31 23:59:59식품첨가물제조업354057.061461266430.044264식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0201임대<NA><NA>N0.0<NA><NA><NA>
23식품첨가물제조업07_22_12_P34300003430000-108-2011-000022004-07-05<NA>1영업/정상1영업<NA><NA><NA><NA>053 523758959.51703-831대구광역시 서구 중리동 40-13번지대구광역시 서구 서대구로25길 19 (중리동)41833생림목초2014-01-13 10:41:26I2018-08-31 23:59:59식품첨가물제조업340106.419865264328.378105식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA>500000250000N0.0<NA><NA><NA>
34식품첨가물제조업07_22_12_P34300003430000-108-2023-000022023-04-26<NA>1영업/정상1영업<NA><NA><NA><NA>053523 5672268.41703-830대구광역시 서구 이현동 42-534대구광역시 서구 문화로 22-17, 1층 (이현동)41753한국네츄럴팜2023-04-26 17:03:13I2023-04-28 00:20:06식품첨가물제조업338556.064911264727.383326식품첨가물제조업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
45식품첨가물제조업07_22_12_P34300003430000-108-2019-000012019-02-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.48703-833대구광역시 서구 중리동 1066대구광역시 서구 국채보상로20길 32 (중리동)41841일지스타치2020-11-04 16:54:18U2020-11-06 02:40:00식품첨가물제조업339073.435023263923.741816식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
56식품첨가물제조업07_22_12_P34300003430000-108-2019-000022019-09-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>494.0703-833대구광역시 서구 중리동 905-10번지대구광역시 서구 와룡로73길 57-6 (중리동)41755뉴트리디언2019-09-26 17:52:29I2019-09-28 02:22:39식품첨가물제조업338275.809658264083.230571식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N299.3<NA><NA><NA>
67식품첨가물제조업07_22_12_P34300003430000-108-2011-000042009-12-31<NA>3폐업2폐업2010-12-01<NA><NA><NA>0535656597580.0703-830대구광역시 서구 이현동 42-432번지 1층<NA><NA>(주)에듀커뮤니티2010-12-02 23:04:09I2018-08-31 23:59:59식품첨가물제조업338793.007771264583.218992식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
78식품첨가물제조업07_22_12_P34300003430000-108-2011-000032006-03-20<NA>3폐업2폐업2020-06-19<NA><NA><NA>053 56526001252.25703-830대구광역시 서구 이현동 42-82번지대구광역시 서구 문화로 121 (이현동)41758감로바이오산업(주)2020-06-18 17:26:38U2020-06-20 02:40:00식품첨가물제조업339525.522508264887.686661식품첨가물제조업<NA><NA><NA><NA><NA><NA>01019<NA><NA><NA>N54.0<NA><NA><NA>
89식품첨가물제조업07_22_12_P34300003430000-108-2011-000011998-11-11<NA>3폐업2폐업2007-10-26<NA><NA><NA>05356716350.0703-110대구광역시 서구 이현동 44-33번지<NA><NA>감로바이오산업2007-12-28 11:29:53I2018-08-31 23:59:59식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
910식품첨가물제조업07_22_12_P34400003440000-108-2021-000012021-12-10<NA>3폐업2폐업2023-03-03<NA><NA><NA><NA>47.8705-826대구광역시 남구 봉덕동 705-33대구광역시 남구 봉덕로9길 8, 1층 (봉덕동)42429(주)함께하는 친구2023-03-03 16:52:41U2023-03-05 02:40:00식품첨가물제조업344039.802161261758.912876식품첨가물제조업00<NA><NA><NA>00000임대00N2.5<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3536식품첨가물제조업07_22_12_P34800003480000-108-2020-000022020-07-21<NA>1영업/정상1영업<NA><NA><NA><NA>053 616 5171183.25711-855대구광역시 달성군 논공읍 본리리 29-69대구광역시 달성군 논공읍 논공중앙로 40642983(주)피앤디코스켐2020-07-21 17:02:31I2020-07-23 00:23:33식품첨가물제조업333265.664044250134.80573식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA><NA>9<NA>10자가<NA><NA>N0.0<NA><NA><NA>
3637식품첨가물제조업07_22_12_P34800003480000-108-2011-000082007-07-26<NA>1영업/정상1영업<NA><NA><NA><NA>053 592 066163.0711-811대구광역시 달성군 다사읍 이천리 568-2번지대구광역시 달성군 다사읍 다사로71길 3942907동창C&F2016-04-22 16:16:23I2018-08-31 23:59:59식품첨가물제조업332289.538416266670.09756식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
3738식품첨가물제조업07_22_12_P34800003480000-108-2018-000012018-03-06<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 1331443.66711-855대구광역시 달성군 논공읍 본리리 1189-10번지대구광역시 달성군 논공읍 논공로 63142981태성푸드2019-07-08 11:19:12U2019-07-10 02:40:00식품첨가물제조업331549.895399249367.53852식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N10.54<NA><NA><NA>
3839식품첨가물제조업07_22_12_P34800003480000-108-2011-000062002-01-03<NA>3폐업2폐업2004-12-31<NA><NA><NA>0536100114<NA>711-855대구광역시 달성군 논공읍 본리리<NA><NA>태경농산(주)2006-08-18 22:29:41I2018-08-31 23:59:59식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
3940식품첨가물제조업07_22_12_P34800003480000-108-2011-000032002-10-24<NA>1영업/정상1영업<NA><NA><NA><NA>053 767 3385118.5711-864대구광역시 달성군 가창면 용계리 95-2번지 1층대구광역시 달성군 가창면 가창로216길 11 (1층)42934한솔푸드테크놀로지2016-01-28 19:17:58I2018-08-31 23:59:59식품첨가물제조업346695.651936256884.837253식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000<NA>00N0.0<NA><NA><NA>
4041식품첨가물제조업07_22_12_P34800003480000-108-2011-000052005-01-20<NA>1영업/정상1영업<NA><NA><NA><NA>053 616 0432120.0711-855대구광역시 달성군 논공읍 본리리 29-53번지대구광역시 달성군 논공읍 논공로71길 2742982미성2019-08-16 15:03:39U2019-08-18 02:40:00식품첨가물제조업332803.386147250052.269534식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0102임대<NA><NA>N0.0<NA><NA><NA>
4142식품첨가물제조업07_22_12_P34800003480000-108-2011-000042005-03-23<NA>3폐업2폐업2006-05-26<NA><NA><NA>0536340708150.37711-843대구광역시 달성군 옥포면 교항리 1068번지<NA><NA>오메가화학2006-08-18 22:29:41I2018-08-31 23:59:59식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA>0002<NA><NA><NA>N0.0<NA><NA><NA>
4243식품첨가물제조업07_22_12_P34800003480000-108-2011-000011989-08-29<NA>3폐업2폐업2008-06-25<NA><NA><NA>0536418493290.8711-855대구광역시 달성군 논공읍 본리리 29-74번지<NA><NA>태경농산(주)2008-06-25 18:00:01I2018-08-31 23:59:59식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00N0.0<NA><NA><NA>
4344식품첨가물제조업07_22_12_P34800003480000-108-2011-000072003-01-23<NA>3폐업2폐업2004-09-14<NA><NA><NA>05361569040.0711-843대구광역시 달성군 옥포면 교항리 1068번지<NA><NA>명성식품2006-08-18 22:29:41I2018-08-31 23:59:59식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
4445식품첨가물제조업07_22_12_P34800003480000-108-2011-000021997-04-10<NA>1영업/정상1영업<NA><NA><NA><NA>053 616 4454396.0711-852대구광역시 달성군 논공읍 북리 1-59대구광역시 달성군 논공읍 논공중앙로54길 3842983유청식품2020-09-21 11:20:48U2020-09-23 02:40:00식품첨가물제조업332506.529811249041.859159식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0116자가00N0.0<NA><NA><NA>