Overview

Dataset statistics

Number of variables47
Number of observations271
Missing cells3228
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.8 KiB
Average record size in memory403.5 B

Variable types

Numeric7
Categorical30
Unsupported9
Boolean1

Dataset

Description23년06월_6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098726&provdMethod=FILE

Alerts

개방서비스명 has constant value "건강기능식품유통전문판매업"Constant
개방서비스아이디 has constant value "07_22_02_P"Constant
업태구분명 has constant value "건강기능식품유통전문판매업"Constant
위생업태명 has constant value "건강기능식품유통전문판매업"Constant
급수시설구분명 has constant value "상수도전용"Constant
다중이용업소여부 has constant value "False"Constant
관리번호 has a high cardinality: 271 distinct valuesHigh cardinality
인허가일자 has a high cardinality: 217 distinct valuesHigh cardinality
폐업일자 has a high cardinality: 144 distinct valuesHigh cardinality
소재지전화 has a high cardinality: 111 distinct valuesHigh cardinality
소재지우편번호 has a high cardinality: 165 distinct valuesHigh cardinality
소재지전체주소 has a high cardinality: 229 distinct valuesHigh cardinality
도로명전체주소 has a high cardinality: 231 distinct valuesHigh cardinality
사업장명 has a high cardinality: 227 distinct valuesHigh cardinality
최종수정시점 has a high cardinality: 269 distinct valuesHigh cardinality
데이터갱신일자 has a high cardinality: 181 distinct valuesHigh cardinality
공장판매직직원수 is highly imbalanced (51.0%)Imbalance
인허가취소일자 has 271 (100.0%) missing valuesMissing
폐업일자 has 117 (43.2%) missing valuesMissing
휴업시작일자 has 271 (100.0%) missing valuesMissing
휴업종료일자 has 271 (100.0%) missing valuesMissing
재개업일자 has 271 (100.0%) missing valuesMissing
소재지전화 has 136 (50.2%) missing valuesMissing
소재지면적 has 59 (21.8%) missing valuesMissing
도로명전체주소 has 14 (5.2%) missing valuesMissing
도로명우편번호 has 14 (5.2%) missing valuesMissing
좌표정보(X) has 5 (1.8%) missing valuesMissing
좌표정보(Y) has 5 (1.8%) missing valuesMissing
영업장주변구분명 has 271 (100.0%) missing valuesMissing
등급구분명 has 271 (100.0%) missing valuesMissing
급수시설구분명 has 236 (87.1%) missing valuesMissing
건물소유구분명 has 202 (74.5%) missing valuesMissing
전통업소지정번호 has 271 (100.0%) missing valuesMissing
전통업소주된음식 has 271 (100.0%) missing valuesMissing
홈페이지 has 271 (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 20 (7.4%) zerosZeros
시설총규모 has 255 (94.1%) zerosZeros

Reproduction

Analysis started2023-07-15 13:25:09.004348
Analysis finished2023-07-15 13:25:10.265425
Duration1.26 second
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136
Minimum1
Maximum271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-07-15T22:25:10.399214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.5
Q168.5
median136
Q3203.5
95-th percentile257.5
Maximum271
Range270
Interquartile range (IQR)135

Descriptive statistics

Standard deviation78.375166
Coefficient of variation (CV)0.57628799
Kurtosis-1.2
Mean136
Median Absolute Deviation (MAD)68
Skewness0
Sum36856
Variance6142.6667
MonotonicityStrictly increasing
2023-07-15T22:25:10.673394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
10 1
 
0.4%
16 1
 
0.4%
15 1
 
0.4%
14 1
 
0.4%
13 1
 
0.4%
12 1
 
0.4%
11 1
 
0.4%
9 1
 
0.4%
187 1
 
0.4%
Other values (261) 261
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%

개방서비스명
Categorical

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
건강기능식품유통전문판매업
271 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 271
100.0%

Length

2023-07-15T22:25:11.153244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:11.361422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 271
100.0%

개방서비스아이디
Categorical

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
07_22_02_P
271 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_02_P
2nd row07_22_02_P
3rd row07_22_02_P
4th row07_22_02_P
5th row07_22_02_P

Common Values

ValueCountFrequency (%)
07_22_02_P 271
100.0%

Length

2023-07-15T22:25:11.551174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:11.785836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 271
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444797
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-07-15T22:25:11.942470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22686.579
Coefficient of variation (CV)0.0065857521
Kurtosis-1.3780456
Mean3444797
Median Absolute Deviation (MAD)20000
Skewness-0.164176
Sum9.3354 × 108
Variance5.1468088 × 108
MonotonicityIncreasing
2023-07-15T22:25:12.169321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 55
20.3%
3420000 52
19.2%
3470000 44
16.2%
3450000 34
12.5%
3410000 32
11.8%
3430000 18
 
6.6%
3440000 18
 
6.6%
3480000 18
 
6.6%
ValueCountFrequency (%)
3410000 32
11.8%
3420000 52
19.2%
3430000 18
 
6.6%
3440000 18
 
6.6%
3450000 34
12.5%
3460000 55
20.3%
3470000 44
16.2%
3480000 18
 
6.6%
ValueCountFrequency (%)
3480000 18
 
6.6%
3470000 44
16.2%
3460000 55
20.3%
3450000 34
12.5%
3440000 18
 
6.6%
3430000 18
 
6.6%
3420000 52
19.2%
3410000 32
11.8%

관리번호
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3410000-135-2019-00005
 
1
3410000-135-2023-00001
 
1
3410000-135-2023-00002
 
1
3410000-135-2022-00003
 
1
3410000-135-2023-00003
 
1
Other values (266)
266 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique271 ?
Unique (%)100.0%

Sample

1st row3410000-135-2019-00005
2nd row3410000-135-2017-00001
3rd row3410000-135-2023-00002
4th row3410000-135-2022-00003
5th row3410000-135-2023-00003

Common Values

ValueCountFrequency (%)
3410000-135-2019-00005 1
 
0.4%
3410000-135-2023-00001 1
 
0.4%
3410000-135-2023-00002 1
 
0.4%
3410000-135-2022-00003 1
 
0.4%
3410000-135-2023-00003 1
 
0.4%
3410000-135-2020-00003 1
 
0.4%
3410000-135-2021-00003 1
 
0.4%
3410000-135-2022-00002 1
 
0.4%
3410000-135-2019-00006 1
 
0.4%
3410000-135-2021-00001 1
 
0.4%
Other values (261) 261
96.3%

Length

2023-07-15T22:25:12.388183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3410000-135-2019-00005 1
 
0.4%
3460000-135-2021-00004 1
 
0.4%
3460000-135-2021-00003 1
 
0.4%
3460000-135-2020-00006 1
 
0.4%
3460000-135-2022-00006 1
 
0.4%
3460000-135-2014-00004 1
 
0.4%
3460000-135-2022-00005 1
 
0.4%
3460000-135-2015-00005 1
 
0.4%
3460000-135-2007-00001 1
 
0.4%
3460000-135-2009-00001 1
 
0.4%
Other values (261) 261
96.3%

인허가일자
Categorical

Distinct217
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2016-06-22
 
6
2019-05-17
 
4
2015-11-09
 
4
2019-05-08
 
3
2019-08-12
 
3
Other values (212)
251 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique177 ?
Unique (%)65.3%

Sample

1st row2019-12-31
2nd row2017-11-09
3rd row2023-04-13
4th row2022-08-02
5th row2023-05-08

Common Values

ValueCountFrequency (%)
2016-06-22 6
 
2.2%
2019-05-17 4
 
1.5%
2015-11-09 4
 
1.5%
2019-05-08 3
 
1.1%
2019-08-12 3
 
1.1%
2013-03-28 3
 
1.1%
2012-05-29 3
 
1.1%
2021-09-29 3
 
1.1%
2015-12-16 3
 
1.1%
2013-03-05 2
 
0.7%
Other values (207) 237
87.5%

Length

2023-07-15T22:25:12.594671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2016-06-22 6
 
2.2%
2015-11-09 4
 
1.5%
2019-05-17 4
 
1.5%
2019-05-08 3
 
1.1%
2019-08-12 3
 
1.1%
2013-03-28 3
 
1.1%
2012-05-29 3
 
1.1%
2021-09-29 3
 
1.1%
2015-12-16 3
 
1.1%
2019-07-12 2
 
0.7%
Other values (207) 237
87.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
154 
1
117 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 154
56.8%
1 117
43.2%

Length

2023-07-15T22:25:12.903042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:13.120288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3 154
56.8%
1 117
43.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
154 
영업/정상
117 

Length

Max length5
Median length2
Mean length3.295203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 154
56.8%
영업/정상 117
43.2%

Length

2023-07-15T22:25:13.344384image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:13.600947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 154
56.8%
영업/정상 117
43.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
154 
1
117 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 154
56.8%
1 117
43.2%

Length

2023-07-15T22:25:13.814431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:14.064844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2 154
56.8%
1 117
43.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
154 
영업
117 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 154
56.8%
영업 117
43.2%

Length

2023-07-15T22:25:14.246594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:14.475852image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 154
56.8%
영업 117
43.2%

폐업일자
Categorical

HIGH CARDINALITY  MISSING 

Distinct144
Distinct (%)93.5%
Missing117
Missing (%)43.2%
Memory size2.2 KiB
2019-12-17
 
3
2021-06-22
 
2
2023-04-11
 
2
2019-10-30
 
2
2018-08-08
 
2
Other values (139)
143 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique135 ?
Unique (%)87.7%

Sample

1st row2020-12-23
2nd row2020-03-16
3rd row2019-06-13
4th row2020-11-23
5th row2023-01-25

Common Values

ValueCountFrequency (%)
2019-12-17 3
 
1.1%
2021-06-22 2
 
0.7%
2023-04-11 2
 
0.7%
2019-10-30 2
 
0.7%
2018-08-08 2
 
0.7%
2021-01-18 2
 
0.7%
2018-11-15 2
 
0.7%
2022-02-03 2
 
0.7%
2019-01-09 2
 
0.7%
2010-11-18 1
 
0.4%
Other values (134) 134
49.4%
(Missing) 117
43.2%

Length

2023-07-15T22:25:14.672212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-12-17 3
 
1.9%
2023-04-11 2
 
1.3%
2019-10-30 2
 
1.3%
2018-08-08 2
 
1.3%
2021-01-18 2
 
1.3%
2018-11-15 2
 
1.3%
2022-02-03 2
 
1.3%
2019-01-09 2
 
1.3%
2021-06-22 2
 
1.3%
2019-12-10 1
 
0.6%
Other values (134) 134
87.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

소재지전화
Categorical

HIGH CARDINALITY  MISSING 

Distinct111
Distinct (%)82.2%
Missing136
Missing (%)50.2%
Memory size2.2 KiB
053 755 3341
 
4
053 5550101
 
3
053 324 9824
 
3
07075701074
 
3
053 985 0156
 
3
Other values (106)
119 

Length

Max length12
Median length12
Mean length11.340741
Min length7

Unique

Unique94 ?
Unique (%)69.6%

Sample

1st row0314220896
2nd row050 55559690
3rd row053 4236023
4th row0532170705
5th row05052554545

Common Values

ValueCountFrequency (%)
053 755 3341 4
 
1.5%
053 5550101 3
 
1.1%
053 324 9824 3
 
1.1%
07075701074 3
 
1.1%
053 985 0156 3
 
1.1%
053 2926389 3
 
1.1%
053 6546977 2
 
0.7%
053 4248104 2
 
0.7%
07088377352 2
 
0.7%
053 4297172 2
 
0.7%
Other values (101) 108
39.9%
(Missing) 136
50.2%

Length

2023-07-15T22:25:14.894375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053 93
29.8%
070 10
 
3.2%
3341 4
 
1.3%
324 4
 
1.3%
985 4
 
1.3%
755 4
 
1.3%
9824 3
 
1.0%
07075701074 3
 
1.0%
0156 3
 
1.0%
2926389 3
 
1.0%
Other values (157) 181
58.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct158
Distinct (%)74.5%
Missing59
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean65.276745
Minimum0
Maximum493
Zeros20
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-07-15T22:25:15.143359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.3575
median37.665
Q384.08
95-th percentile213.5805
Maximum493
Range493
Interquartile range (IQR)67.7225

Descriptive statistics

Standard deviation76.501964
Coefficient of variation (CV)1.1719635
Kurtosis7.6485311
Mean65.276745
Median Absolute Deviation (MAD)28.335
Skewness2.4147147
Sum13838.67
Variance5852.5505
MonotonicityNot monotonic
2023-07-15T22:25:15.442631image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
7.4%
33.0 5
 
1.8%
15.0 5
 
1.8%
16.5 4
 
1.5%
66.0 3
 
1.1%
10.0 3
 
1.1%
76.0 3
 
1.1%
70.71 3
 
1.1%
35.0 3
 
1.1%
21.84 2
 
0.7%
Other values (148) 161
59.4%
(Missing) 59
 
21.8%
ValueCountFrequency (%)
0.0 20
7.4%
1.0 1
 
0.4%
2.0 1
 
0.4%
3.0 2
 
0.7%
3.7 1
 
0.4%
4.0 1
 
0.4%
4.3 1
 
0.4%
4.6 1
 
0.4%
6.0 1
 
0.4%
6.3 2
 
0.7%
ValueCountFrequency (%)
493.0 1
0.4%
377.92 1
0.4%
376.86 1
0.4%
375.0 1
0.4%
329.8 1
0.4%
265.29 1
0.4%
240.0 1
0.4%
226.08 2
0.7%
226.0 1
0.4%
215.72 1
0.4%

소재지우편번호
Categorical

Distinct165
Distinct (%)61.1%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
700-823
 
5
704-919
 
5
701-170
 
5
703-846
 
5
700-413
 
5
Other values (160)
245 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique101 ?
Unique (%)37.4%

Sample

1st row700-823
2nd row700-412
3rd row700-804
4th row700-180
5th row700-845

Common Values

ValueCountFrequency (%)
700-823 5
 
1.8%
704-919 5
 
1.8%
701-170 5
 
1.8%
703-846 5
 
1.8%
700-413 5
 
1.8%
706-800 4
 
1.5%
711-814 4
 
1.5%
702-894 4
 
1.5%
701-260 4
 
1.5%
711-812 4
 
1.5%
Other values (155) 225
83.0%

Length

2023-07-15T22:25:15.718539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
700-823 5
 
1.9%
701-170 5
 
1.9%
703-846 5
 
1.9%
700-413 5
 
1.9%
704-919 5
 
1.9%
702-894 4
 
1.5%
711-812 4
 
1.5%
701-260 4
 
1.5%
711-814 4
 
1.5%
706-800 4
 
1.5%
Other values (155) 225
83.3%

소재지전체주소
Categorical

Distinct229
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
대구광역시 남구 대명동 ****-*번지
 
4
대구광역시 서구 평리동 ****-**
 
4
대구광역시 중구 삼덕동*가 ****-****번지 지상*층
 
3
대구광역시 수성구 범어동 ***-* *층
 
3
대구광역시 서구 비산동 ***-* 더조은 새마을금고 제*지점
 
3
Other values (224)
254 

Length

Max length52
Median length46
Mean length25.361624
Min length17

Unique

Unique195 ?
Unique (%)72.0%

Sample

1st row대구광역시 중구 봉산동 ****-****번지 업무시설
2nd row대구광역시 중구 삼덕동*가 ****-**** 미르치과병원 **층
3rd row대구광역시 중구 남산동 ****-**** 로하스남산 ***호
4th row대구광역시 중구 동문동 ****-**** *층
5th row대구광역시 중구 동인동*가 ****-**** *층

Common Values

ValueCountFrequency (%)
대구광역시 남구 대명동 ****-*번지 4
 
1.5%
대구광역시 서구 평리동 ****-** 4
 
1.5%
대구광역시 중구 삼덕동*가 ****-****번지 지상*층 3
 
1.1%
대구광역시 수성구 범어동 ***-* *층 3
 
1.1%
대구광역시 서구 비산동 ***-* 더조은 새마을금고 제*지점 3
 
1.1%
대구광역시 동구 봉무동 ****-*번지 3
 
1.1%
대구광역시 수성구 두산동 ***-* *층 ***호 2
 
0.7%
대구광역시 북구 읍내동 ***-*번지 2
 
0.7%
대구광역시 동구 신암동 ***-** 동대구빌딩 2
 
0.7%
대구광역시 서구 이현동 **-***번지 2
 
0.7%
Other values (219) 243
89.7%

Length

2023-07-15T22:25:15.987026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 270
20.7%
145
 
11.1%
번지 127
 
9.7%
수성구 54
 
4.1%
동구 52
 
4.0%
층 49
 
3.8%
달서구 42
 
3.2%
북구 34
 
2.6%
중구 33
 
2.5%
호 30
 
2.3%
Other values (188) 470
36.0%

도로명전체주소
Categorical

HIGH CARDINALITY  MISSING 

Distinct231
Distinct (%)89.9%
Missing14
Missing (%)5.2%
Memory size2.2 KiB
대구광역시 서구 통학로**길 *, *층 (평리동)
 
4
대구광역시 남구 봉덕로 **, *층 (봉덕동)
 
3
대구광역시 수성구 범어천로 **, *층 (범어동)
 
3
대구광역시 서구 달서로 **, 더조은 새마을금고 제*지점 *층 (비산동)
 
3
대구광역시 중구 달구벌대로***길 **-* (삼덕동*가, 지상*층)
 
3
Other values (226)
241 

Length

Max length57
Median length51
Mean length31.167315
Min length21

Unique

Unique211 ?
Unique (%)82.1%

Sample

1st row대구광역시 중구 달구벌대로 ****, SH타워 *층 (봉산동)
2nd row대구광역시 중구 공평로 ** (삼덕동*가, 미르치과병원 **층)
3rd row대구광역시 중구 남산로*안길 **, ***호 (남산동, 로하스남산)
4th row대구광역시 중구 경상감영길 ***-*, *층 (동문동)
5th row대구광역시 중구 동덕로**길 **-*, *층 (동인동*가)

Common Values

ValueCountFrequency (%)
대구광역시 서구 통학로**길 *, *층 (평리동) 4
 
1.5%
대구광역시 남구 봉덕로 **, *층 (봉덕동) 3
 
1.1%
대구광역시 수성구 범어천로 **, *층 (범어동) 3
 
1.1%
대구광역시 서구 달서로 **, 더조은 새마을금고 제*지점 *층 (비산동) 3
 
1.1%
대구광역시 중구 달구벌대로***길 **-* (삼덕동*가, 지상*층) 3
 
1.1%
대구광역시 수성구 동대구로 *, *층 ***호 (두산동) 2
 
0.7%
대구광역시 동구 효동로 ***-*, *층 (효목동) 2
 
0.7%
대구광역시 달서구 앞산순환로**길 **-*, *층 (송현동) 2
 
0.7%
대구광역시 수성구 수성로 ***-*, *층 (상동) 2
 
0.7%
대구광역시 수성구 파동로 ***, *층 (파동) 2
 
0.7%
Other values (221) 231
85.2%
(Missing) 14
 
5.2%

Length

2023-07-15T22:25:16.371712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 257
 
15.7%
257
 
15.7%
층 172
 
10.5%
호 58
 
3.5%
수성구 52
 
3.2%
동구 49
 
3.0%
달서구 40
 
2.4%
북구 33
 
2.0%
중구 31
 
1.9%
지상*층 18
 
1.1%
Other values (307) 670
40.9%

도로명우편번호
Real number (ℝ)

Distinct190
Distinct (%)73.9%
Missing14
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean41983.875
Minimum41000
Maximum43008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-07-15T22:25:16.690885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41060.6
Q141475
median41972
Q342465
95-th percentile42910.8
Maximum43008
Range2008
Interquartile range (IQR)990

Descriptive statistics

Standard deviation586.03248
Coefficient of variation (CV)0.013958513
Kurtosis-1.0828879
Mean41983.875
Median Absolute Deviation (MAD)497
Skewness-0.024781481
Sum10789856
Variance343434.06
MonotonicityNot monotonic
2023-07-15T22:25:17.043326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42140 4
 
1.5%
41475 4
 
1.5%
41832 4
 
1.5%
41028 4
 
1.5%
42709 4
 
1.5%
41948 3
 
1.1%
41809 3
 
1.1%
42251 3
 
1.1%
41913 3
 
1.1%
42922 3
 
1.1%
Other values (180) 222
81.9%
(Missing) 14
 
5.2%
ValueCountFrequency (%)
41000 2
0.7%
41026 1
 
0.4%
41028 4
1.5%
41033 1
 
0.4%
41035 1
 
0.4%
41040 1
 
0.4%
41059 3
1.1%
41061 2
0.7%
41065 2
0.7%
41068 1
 
0.4%
ValueCountFrequency (%)
43008 1
 
0.4%
42995 1
 
0.4%
42975 3
1.1%
42974 1
 
0.4%
42922 3
1.1%
42921 1
 
0.4%
42918 2
0.7%
42914 1
 
0.4%
42910 3
1.1%
42905 1
 
0.4%

사업장명
Categorical

Distinct227
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
주식회사월드라인
 
5
오롯이
 
4
헬스마트
 
3
안상규벌꿀
 
3
(주)쓰리에이치
 
3
Other values (222)
253 

Length

Max length25
Median length17
Mean length7.2767528
Min length2

Unique

Unique194 ?
Unique (%)71.6%

Sample

1st row(주)피토스
2nd row(주)엠지뉴턴
3rd row주식회사 라이프앤휴먼킹
4th row오드니스
5th row주식회사 글로리바이오파마

Common Values

ValueCountFrequency (%)
주식회사월드라인 5
 
1.8%
오롯이 4
 
1.5%
헬스마트 3
 
1.1%
안상규벌꿀 3
 
1.1%
(주)쓰리에이치 3
 
1.1%
주식회사 와이제이그룹 3
 
1.1%
에인에이(주) 3
 
1.1%
오푸드 F&D 3
 
1.1%
주식회사온그린푸드 2
 
0.7%
오드니스 2
 
0.7%
Other values (217) 240
88.6%

Length

2023-07-15T22:25:17.426422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주식회사 29
 
9.1%
주식회사월드라인 5
 
1.6%
에이팜 4
 
1.2%
주 4
 
1.2%
주)쓰리에이치 4
 
1.2%
오롯이 4
 
1.2%
f&d 3
 
0.9%
오푸드 3
 
0.9%
에인에이(주 3
 
0.9%
와이제이그룹 3
 
0.9%
Other values (225) 258
80.6%

최종수정시점
Categorical

Distinct269
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2006-11-06 00:00:00
 
2
2013-03-28 15:00:15
 
2
2020-09-15 13:45:41
 
1
2019-06-13 17:08:16
 
1
2023-06-28 16:58:35
 
1
Other values (264)
264 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique267 ?
Unique (%)98.5%

Sample

1st row2020-01-09 15:17:21
2nd row2020-12-23 13:46:29
3rd row2023-04-13 09:58:22
4th row2023-06-09 13:57:26
5th row2023-05-08 15:55:38

Common Values

ValueCountFrequency (%)
2006-11-06 00:00:00 2
 
0.7%
2013-03-28 15:00:15 2
 
0.7%
2020-09-15 13:45:41 1
 
0.4%
2019-06-13 17:08:16 1
 
0.4%
2023-06-28 16:58:35 1
 
0.4%
2019-12-17 14:08:57 1
 
0.4%
2019-02-14 13:06:32 1
 
0.4%
2023-04-13 09:58:22 1
 
0.4%
2023-06-09 13:57:26 1
 
0.4%
2023-05-08 15:55:38 1
 
0.4%
Other values (259) 259
95.6%

Length

2023-07-15T22:25:17.934338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:00 8
 
1.5%
2011-11-23 4
 
0.7%
2022-04-29 3
 
0.6%
2023-05-08 3
 
0.6%
2019-12-17 3
 
0.6%
2023-03-03 3
 
0.6%
2006-11-06 2
 
0.4%
2020-07-22 2
 
0.4%
2023-03-20 2
 
0.4%
2020-08-27 2
 
0.4%
Other values (481) 510
94.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
U
149 
I
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 149
55.0%
I 122
45.0%

Length

2023-07-15T22:25:18.133068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:18.392945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
u 149
55.0%
i 122
45.0%

데이터갱신일자
Categorical

Distinct181
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2018-08-31 23:59:59
76 
2022-03-05 02:40:00
 
3
2019-12-19 02:40:00
 
3
2021-10-07 02:40:00
 
2
2021-05-06 02:40:00
 
2
Other values (176)
185 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique167 ?
Unique (%)61.6%

Sample

1st row2020-01-11 02:40:00
2nd row2020-12-25 02:40:00
3rd row2023-04-15 00:20:20
4th row2023-06-11 02:40:00
5th row2023-05-10 00:19:55

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 76
28.0%
2022-03-05 02:40:00 3
 
1.1%
2019-12-19 02:40:00 3
 
1.1%
2021-10-07 02:40:00 2
 
0.7%
2021-05-06 02:40:00 2
 
0.7%
2018-11-17 02:36:59 2
 
0.7%
2023-05-10 02:40:00 2
 
0.7%
2022-02-05 02:40:00 2
 
0.7%
2023-06-11 02:40:00 2
 
0.7%
2022-05-03 02:40:00 2
 
0.7%
Other values (171) 175
64.6%

Length

2023-07-15T22:25:18.648601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00 143
26.4%
2018-08-31 76
 
14.0%
23:59:59 76
 
14.0%
2022-05-03 3
 
0.6%
2023-03-05 3
 
0.6%
2023-05-10 3
 
0.6%
2019-12-19 3
 
0.6%
2022-03-05 3
 
0.6%
00:22:53 3
 
0.6%
2020-05-30 2
 
0.4%
Other values (194) 227
41.9%

업태구분명
Categorical

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
건강기능식품유통전문판매업
271 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 271
100.0%

Length

2023-07-15T22:25:18.893499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:19.106671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 271
100.0%

좌표정보(X)
Real number (ℝ)

Distinct232
Distinct (%)87.2%
Missing5
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean343636.04
Minimum325937.57
Maximum357984.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-07-15T22:25:19.299757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile332424.64
Q1340477.24
median344320.55
Q3346666.95
95-th percentile353453.21
Maximum357984.72
Range32047.151
Interquartile range (IQR)6189.7173

Descriptive statistics

Standard deviation5712.311
Coefficient of variation (CV)0.016623143
Kurtosis0.69543594
Mean343636.04
Median Absolute Deviation (MAD)2911.0004
Skewness-0.35192341
Sum91407188
Variance32630497
MonotonicityNot monotonic
2023-07-15T22:25:19.548884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695481997 4
 
1.5%
346634.210978235 3
 
1.1%
334621.225167521 3
 
1.1%
341851.764900532 3
 
1.1%
344940.956105152 3
 
1.1%
346971.046144383 3
 
1.1%
346719.597553338 2
 
0.7%
347816.635605676 2
 
0.7%
352849.678342024 2
 
0.7%
345893.033678637 2
 
0.7%
Other values (222) 239
88.2%
(Missing) 5
 
1.8%
ValueCountFrequency (%)
325937.566452452 1
0.4%
328117.182704824 1
0.4%
328311.018298287 1
0.4%
328311.080891912 1
0.4%
328342.10797327 1
0.4%
329002.871506888 1
0.4%
331283.896888049 1
0.4%
332061.550912065 1
0.4%
332163.069052794 1
0.4%
332176.052745546 2
0.7%
ValueCountFrequency (%)
357984.717177634 2
0.7%
356698.367083593 2
0.7%
356351.617490545 1
0.4%
356267.166058634 1
0.4%
355787.812497013 1
0.4%
355709.1893427 1
0.4%
354121.680352647 1
0.4%
354079.749787597 1
0.4%
353886.322185462 2
0.7%
353695.121624938 1
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct232
Distinct (%)87.2%
Missing5
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean263865.2
Minimum240649.76
Maximum277749.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-07-15T22:25:19.818082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum240649.76
5-th percentile258742.93
Q1261711.26
median263823.94
Q3265449.3
95-th percentile270481.79
Maximum277749.02
Range37099.259
Interquartile range (IQR)3738.0437

Descriptive statistics

Standard deviation4014.5822
Coefficient of variation (CV)0.015214519
Kurtosis6.6926792
Mean263865.2
Median Absolute Deviation (MAD)1791.6792
Skewness-0.65559283
Sum70188143
Variance16116870
MonotonicityNot monotonic
2023-07-15T22:25:20.055851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775393702 4
 
1.5%
262506.0535677 3
 
1.1%
262044.332357665 3
 
1.1%
264386.730931219 3
 
1.1%
263802.308311964 3
 
1.1%
265744.422597882 3
 
1.1%
260970.583080666 2
 
0.7%
270038.366769891 2
 
0.7%
261650.529169175 2
 
0.7%
258439.272892249 2
 
0.7%
Other values (222) 239
88.2%
(Missing) 5
 
1.8%
ValueCountFrequency (%)
240649.764741954 1
0.4%
244588.625975144 1
0.4%
252522.675879447 1
0.4%
252890.333819401 1
0.4%
252940.836113488 1
0.4%
256124.315536988 1
0.4%
257069.566310941 1
0.4%
257286.897263086 1
0.4%
257494.679484101 1
0.4%
257852.235745702 1
0.4%
ValueCountFrequency (%)
277749.024028649 2
0.7%
273994.885718704 1
0.4%
273737.606850141 1
0.4%
273554.526036001 1
0.4%
272619.438481583 1
0.4%
272558.799360465 1
0.4%
272411.512876902 1
0.4%
272277.564167233 1
0.4%
271941.364327282 1
0.4%
271813.615309217 1
0.4%

위생업태명
Categorical

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
건강기능식품유통전문판매업
271 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 271
100.0%

Length

2023-07-15T22:25:20.268547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:20.462914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 271
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
99 

Length

Max length4
Median length4
Mean length2.904059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
63.5%
0 99
36.5%

Length

2023-07-15T22:25:20.639564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:20.873285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 172
63.5%
0 99
36.5%

여성종사자수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
99 

Length

Max length4
Median length4
Mean length2.904059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
63.5%
0 99
36.5%

Length

2023-07-15T22:25:21.048867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:21.283275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 172
63.5%
0 99
36.5%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

급수시설구분명
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)2.9%
Missing236
Missing (%)87.1%
Memory size2.2 KiB
상수도전용
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 35
 
12.9%
(Missing) 236
87.1%

Length

2023-07-15T22:25:21.464494image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:21.700239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 35
100.0%

총직원수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
175 
0
96 

Length

Max length4
Median length4
Mean length2.9372694
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 175
64.6%
0 96
35.4%

Length

2023-07-15T22:25:21.899851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:22.162046image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 175
64.6%
0 96
35.4%

본사직원수
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
208 
<NA>
62 
3
 
1

Length

Max length4
Median length1
Mean length1.6863469
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
76.8%
<NA> 62
 
22.9%
3 1
 
0.4%

Length

2023-07-15T22:25:22.346261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:22.611789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 208
76.8%
na 62
 
22.9%
3 1
 
0.4%

공장사무직직원수
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
199 
<NA>
62 
1
 
8
2
 
2

Length

Max length4
Median length1
Mean length1.6863469
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 199
73.4%
<NA> 62
 
22.9%
1 8
 
3.0%
2 2
 
0.7%

Length

2023-07-15T22:25:22.819937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:23.064670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 199
73.4%
na 62
 
22.9%
1 8
 
3.0%
2 2
 
0.7%

공장판매직직원수
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
201 
<NA>
62 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.6863469
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 201
74.2%
<NA> 62
 
22.9%
1 6
 
2.2%
2 2
 
0.7%

Length

2023-07-15T22:25:23.260705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:23.515131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 201
74.2%
na 62
 
22.9%
1 6
 
2.2%
2 2
 
0.7%

공장생산직직원수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
209 
<NA>
62 

Length

Max length4
Median length1
Mean length1.6863469
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 209
77.1%
<NA> 62
 
22.9%

Length

2023-07-15T22:25:23.775584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:24.072915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 209
77.1%
na 62
 
22.9%

건물소유구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing202
Missing (%)74.5%
Memory size2.2 KiB
자가
40 
임대
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가 40
 
14.8%
임대 29
 
10.7%
(Missing) 202
74.5%

Length

2023-07-15T22:25:24.260049image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:24.887100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
자가 40
58.0%
임대 29
42.0%

보증액
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
99 

Length

Max length4
Median length4
Mean length2.904059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
63.5%
0 99
36.5%

Length

2023-07-15T22:25:25.115104image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:25.379304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 172
63.5%
0 99
36.5%

월세액
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
99 

Length

Max length4
Median length4
Mean length2.904059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
63.5%
0 99
36.5%

Length

2023-07-15T22:25:25.571437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:25:25.872653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 172
63.5%
0 99
36.5%

다중이용업소여부
Boolean

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size399.0 B
False
271 
ValueCountFrequency (%)
False 271
100.0%
2023-07-15T22:25:26.116565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

시설총규모
Real number (ℝ)

Distinct17
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5294834
Minimum0
Maximum377.92
Zeros255
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-07-15T22:25:26.294298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.5
Maximum377.92
Range377.92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.562261
Coefficient of variation (CV)7.5258211
Kurtosis151.48557
Mean3.5294834
Median Absolute Deviation (MAD)0
Skewness11.505099
Sum956.49
Variance705.55369
MonotonicityNot monotonic
2023-07-15T22:25:26.520632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 255
94.1%
10.0 1
 
0.4%
149.0 1
 
0.4%
32.4 1
 
0.4%
64.9 1
 
0.4%
25.13 1
 
0.4%
118.14 1
 
0.4%
59.0 1
 
0.4%
6.6 1
 
0.4%
70.4 1
 
0.4%
Other values (7) 7
 
2.6%
ValueCountFrequency (%)
0.0 255
94.1%
2.4 1
 
0.4%
3.0 1
 
0.4%
4.0 1
 
0.4%
6.6 1
 
0.4%
9.1 1
 
0.4%
10.0 1
 
0.4%
10.5 1
 
0.4%
14.0 1
 
0.4%
25.13 1
 
0.4%
ValueCountFrequency (%)
377.92 1
0.4%
149.0 1
0.4%
118.14 1
0.4%
70.4 1
0.4%
64.9 1
0.4%
59.0 1
0.4%
32.4 1
0.4%
25.13 1
0.4%
14.0 1
0.4%
10.5 1
0.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing271
Missing (%)100.0%
Memory size2.5 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01건강기능식품유통전문판매업07_22_02_P34100003410000-135-2019-000052019-12-31<NA>1영업/정상1영업<NA><NA><NA><NA>031422089616.23700-823대구광역시 중구 봉산동 ****-****번지 업무시설대구광역시 중구 달구벌대로 ****, SH타워 *층 (봉산동)41958(주)피토스2020-01-09 15:17:21U2020-01-11 02:40:00건강기능식품유통전문판매업344002.684642263910.085339건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
12건강기능식품유통전문판매업07_22_02_P34100003410000-135-2017-000012017-11-09<NA>3폐업2폐업2020-12-23<NA><NA><NA><NA>45.0700-412대구광역시 중구 삼덕동*가 ****-**** 미르치과병원 **층대구광역시 중구 공평로 ** (삼덕동*가, 미르치과병원 **층)41940(주)엠지뉴턴2020-12-23 13:46:29U2020-12-25 02:40:00건강기능식품유통전문판매업344447.949671263940.739988건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
23건강기능식품유통전문판매업07_22_02_P34100003410000-135-2023-000022023-04-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-804대구광역시 중구 남산동 ****-**** 로하스남산 ***호대구광역시 중구 남산로*안길 **, ***호 (남산동, 로하스남산)41972주식회사 라이프앤휴먼킹2023-04-13 09:58:22I2023-04-15 00:20:20건강기능식품유통전문판매업343206.428866263018.96379건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
34건강기능식품유통전문판매업07_22_02_P34100003410000-135-2022-000032022-08-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.71700-180대구광역시 중구 동문동 ****-**** *층대구광역시 중구 경상감영길 ***-*, *층 (동문동)41913오드니스2023-06-09 13:57:26U2023-06-11 02:40:00건강기능식품유통전문판매업344414.383782264628.790781건강기능식품유통전문판매업00<NA><NA><NA>00100<NA>00N0.0<NA><NA><NA>
45건강기능식품유통전문판매업07_22_02_P34100003410000-135-2023-000032023-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-845대구광역시 중구 동인동*가 ****-**** *층대구광역시 중구 동덕로**길 **-*, *층 (동인동*가)41906주식회사 글로리바이오파마2023-05-08 15:55:38I2023-05-10 00:19:55건강기능식품유통전문판매업345298.778819264681.518029건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
56건강기능식품유통전문판매업07_22_02_P34100003410000-135-2020-000032020-07-28<NA>1영업/정상1영업<NA><NA><NA><NA>050 5555969036.69700-413대구광역시 중구 삼덕동*가 **** 움비어스오피스텔대구광역시 중구 동덕로**길 **, 움비어스오피스텔 ***호 (삼덕동*가)41946(주)에이지블루2020-09-11 17:39:13U2020-09-13 02:40:00건강기능식품유통전문판매업345242.909438264091.856847건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
67건강기능식품유통전문판매업07_22_02_P34100003410000-135-2021-000032021-08-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-413대구광역시 중구 삼덕동*가 ****-**** *층대구광역시 중구 동덕로**길 **, *층 (삼덕동*가)41946코엘2021-08-23 13:29:13I2021-08-25 00:22:50건강기능식품유통전문판매업345255.927779264088.89938건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
78건강기능식품유통전문판매업07_22_02_P34100003410000-135-2022-000022022-11-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>13.3700-251대구광역시 중구 서문로*가 **** *층 ***호대구광역시 중구 경상감영길 **, *층 ***호 (서문로*가)41919실버리버2022-12-20 16:23:18U2022-12-22 02:40:00건강기능식품유통전문판매업343574.623183264624.927229건강기능식품유통전문판매업00<NA><NA><NA>00100<NA>00N0.0<NA><NA><NA>
89건강기능식품유통전문판매업07_22_02_P34100003410000-135-2019-000062019-08-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0700-440대구광역시 중구 남산동 **** 극동 스타클래스 남산 ***동 ***호대구광역시 중구 남산로 **, ***동 ***호 (남산동, 극동 스타클래스 남산)41971윤상철그리포란2022-12-16 17:47:39I2022-12-18 00:40:10건강기능식품유통전문판매업343009.218633263321.424532건강기능식품유통전문판매업00<NA><NA>상수도전용00000임대00N0.0<NA><NA><NA>
910건강기능식품유통전문판매업07_22_02_P34100003410000-135-2021-000012021-03-26<NA>1영업/정상1영업<NA><NA><NA><NA>053 423602337.0700-831대구광역시 중구 남산동 ****-**** 반월당SK허브스카이아파트 ***호대구광역시 중구 중앙대로 ***, ***호 (남산동, 반월당SK허브스카이아파트)41967주식회사 비채라이프2021-04-22 10:46:15U2021-04-24 02:40:00건강기능식품유통전문판매업343770.758234263623.262721건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
261262건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-000022016-06-22<NA>1영업/정상1영업<NA><NA><NA><NA>053 248 186015.0711-814대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천북로*길 **-*, *층42922평산네이처2016-06-22 14:30:45I2018-08-31 23:59:59건강기능식품유통전문판매업333532.782282265310.700363건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
262263건강기능식품유통전문판매업07_22_02_P34800003480000-135-2015-000022015-11-09<NA>3폐업2폐업2019-05-23<NA><NA><NA><NA>42.69711-812대구광역시 달성군 다사읍 매곡리 ***번지 ***호대구광역시 달성군 다사읍 왕선로 **, *층 ***호42910에이치앤비홀딩스2019-05-23 10:31:04I2019-05-25 02:20:54건강기능식품유통전문판매업332176.052746263770.873143건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
263264건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-000012020-01-13<NA>3폐업2폐업2022-10-17<NA><NA><NA><NA>37.0711-821대구광역시 달성군 하빈면 동곡리 ***-* *층대구광역시 달성군 하빈면 달구벌대로**길 **, *층42903에버헬스2022-10-17 10:30:52U2022-10-19 02:40:00건강기능식품유통전문판매업328117.182705265170.995751건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
264265건강기능식품유통전문판매업07_22_02_P34800003480000-135-2017-000012017-11-16<NA>3폐업2폐업2023-04-11<NA><NA><NA>053 751 2225493.0711-851대구광역시 달성군 논공읍 금포리 ****대구광역시 달성군 논공읍 비슬로***길 **-*42975(주)한솔디바인연구소2023-05-08 11:12:32U2023-05-10 02:40:00건강기능식품유통전문판매업328311.080892252890.333819건강기능식품유통전문판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
265266건강기능식품유통전문판매업07_22_02_P34800003480000-135-2021-000032021-12-07<NA>3폐업2폐업2022-03-02<NA><NA><NA><NA><NA>711-891대구광역시 달성군 구지면 응암리 **** 대구국가산단 반도유보라 아이비파크 ***동 ****호대구광역시 달성군 구지면 과학마을로*길 **, ***동 ****호 (대구국가산단 반도유보라 아이비파크)43008라이크비2022-03-02 09:20:34U2022-03-05 02:40:00건강기능식품유통전문판매업328342.107973240649.764742건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
266267건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-000032016-06-22<NA>3폐업2폐업2022-02-03<NA><NA><NA><NA>208.0711-814대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천북로*길 **-*42922주식회사월드라인2022-02-03 17:05:23U2022-02-05 02:40:00건강기능식품유통전문판매업333519.662819265221.218433건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N149.0<NA><NA><NA>
267268건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-000012016-04-14<NA>3폐업2폐업2019-11-19<NA><NA><NA><NA>27.0711-812대구광역시 달성군 다사읍 매곡리 ****-*번지대구광역시 달성군 다사읍 달구벌대로 ***, *층 ***호42914모니카헬스케어2019-11-19 14:28:30U2019-11-21 02:40:00건강기능식품유통전문판매업332237.177954263095.169477건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
268269건강기능식품유통전문판매업07_22_02_P34800003480000-135-2007-000012007-01-10<NA>3폐업2폐업2014-04-29<NA><NA><NA>053 324 98240.0711-814대구광역시 달성군 다사읍 세천리 ****-**번지대구광역시 달성군 다사읍 세천로*길 ***, 가동 *층42921에인에이(주)2014-04-15 16:48:45I2018-08-31 23:59:59건강기능식품유통전문판매업332163.069053265348.507187건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
269270건강기능식품유통전문판매업07_22_02_P34800003480000-135-2012-000012012-02-20<NA>3폐업2폐업2013-08-16<NA><NA><NA>053 522310241.69711-856대구광역시 달성군 논공읍 노이리 ****-*번지대구광역시 달성군 논공읍 노이*길 **42975프로매스2012-03-08 21:59:46I2018-08-31 23:59:59건강기능식품유통전문판매업329002.871507252522.675879건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
270271건강기능식품유통전문판매업07_22_02_P34800003480000-135-2017-000022017-09-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>92.7711-812대구광역시 달성군 다사읍 매곡리 ****-* *층대구광역시 달성군 다사읍 왕선로*길 *, *층42910주식회사이앤에이치컴퍼니(ENH Company)2022-03-03 09:48:46U2022-03-05 02:40:00건강기능식품유통전문판매업332179.351493263519.301333건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>