Overview

Dataset statistics

Number of variables47
Number of observations1284
Missing cells14358
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory509.2 KiB
Average record size in memory406.1 B

Variable types

Numeric13
Categorical17
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년12월_6270000_대구광역시_07_22_17_P_유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097396&dataSetDetailId=DDI_0000097429&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
공장생산직직원수 is highly imbalanced (58.5%)Imbalance
인허가취소일자 has 1284 (100.0%) missing valuesMissing
폐업일자 has 554 (43.1%) missing valuesMissing
휴업시작일자 has 1284 (100.0%) missing valuesMissing
휴업종료일자 has 1284 (100.0%) missing valuesMissing
재개업일자 has 1284 (100.0%) missing valuesMissing
소재지전화 has 557 (43.4%) missing valuesMissing
소재지면적 has 151 (11.8%) missing valuesMissing
소재지우편번호 has 27 (2.1%) missing valuesMissing
도로명전체주소 has 230 (17.9%) missing valuesMissing
도로명우편번호 has 233 (18.1%) missing valuesMissing
좌표정보(X) has 34 (2.6%) missing valuesMissing
좌표정보(Y) has 34 (2.6%) missing valuesMissing
영업장주변구분명 has 1284 (100.0%) missing valuesMissing
등급구분명 has 1284 (100.0%) missing valuesMissing
본사직원수 has 327 (25.5%) missing valuesMissing
공장사무직직원수 has 327 (25.5%) missing valuesMissing
공장판매직직원수 has 327 (25.5%) missing valuesMissing
전통업소지정번호 has 1284 (100.0%) missing valuesMissing
전통업소주된음식 has 1284 (100.0%) missing valuesMissing
홈페이지 has 1284 (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
본사직원수 has 942 (73.4%) zerosZeros
공장사무직직원수 has 883 (68.8%) zerosZeros
공장판매직직원수 has 914 (71.2%) zerosZeros
시설총규모 has 1187 (92.4%) zerosZeros

Reproduction

Analysis started2023-12-10 20:46:00.471845
Analysis finished2023-12-10 20:46:02.200461
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean642.5
Minimum1
Maximum1284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:02.320621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65.15
Q1321.75
median642.5
Q3963.25
95-th percentile1219.85
Maximum1284
Range1283
Interquartile range (IQR)641.5

Descriptive statistics

Standard deviation370.80318
Coefficient of variation (CV)0.57712558
Kurtosis-1.2
Mean642.5
Median Absolute Deviation (MAD)321
Skewness0
Sum824970
Variance137495
MonotonicityStrictly increasing
2023-12-11T05:46:02.702626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
805 1
 
0.1%
863 1
 
0.1%
862 1
 
0.1%
861 1
 
0.1%
860 1
 
0.1%
859 1
 
0.1%
858 1
 
0.1%
857 1
 
0.1%
856 1
 
0.1%
Other values (1274) 1274
99.2%
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%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1284 1
0.1%
1283 1
0.1%
1282 1
0.1%
1281 1
0.1%
1280 1
0.1%
1279 1
0.1%
1278 1
0.1%
1277 1
0.1%
1276 1
0.1%
1275 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
유통전문판매업
1284 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통전문판매업 1284
100.0%

Length

2023-12-11T05:46:03.182909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:03.413791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 1284
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
07_22_17_P
1284 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_17_P
2nd row07_22_17_P
3rd row07_22_17_P
4th row07_22_17_P
5th row07_22_17_P

Common Values

ValueCountFrequency (%)
07_22_17_P 1284
100.0%

Length

2023-12-11T05:46:03.663361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:03.870637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_17_p 1284
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447632.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:04.003138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21718.86
Coefficient of variation (CV)0.0062996449
Kurtosis-1.1063298
Mean3447632.4
Median Absolute Deviation (MAD)20000
Skewness-0.26717228
Sum4.42676 × 109
Variance4.7170888 × 108
MonotonicityIncreasing
2023-12-11T05:46:04.334661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 261
20.3%
3460000 231
18.0%
3420000 200
15.6%
3470000 177
13.8%
3480000 135
10.5%
3410000 108
8.4%
3430000 90
 
7.0%
3440000 82
 
6.4%
ValueCountFrequency (%)
3410000 108
8.4%
3420000 200
15.6%
3430000 90
 
7.0%
3440000 82
 
6.4%
3450000 261
20.3%
3460000 231
18.0%
3470000 177
13.8%
3480000 135
10.5%
ValueCountFrequency (%)
3480000 135
10.5%
3470000 177
13.8%
3460000 231
18.0%
3450000 261
20.3%
3440000 82
 
6.4%
3430000 90
 
7.0%
3420000 200
15.6%
3410000 108
8.4%

관리번호
Text

UNIQUE 

Distinct1284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-11T05:46:04.685673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters28248
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

Unique1284 ?
Unique (%)100.0%

Sample

1st row3410000-113-2021-00009
2nd row3410000-113-2020-00007
3rd row3410000-113-2020-00006
4th row3410000-113-2020-00009
5th row3410000-113-2020-00010
ValueCountFrequency (%)
3410000-113-2021-00009 1
 
0.1%
3460000-113-2004-00002 1
 
0.1%
3460000-113-2015-00015 1
 
0.1%
3460000-113-2013-00007 1
 
0.1%
3460000-113-2015-00022 1
 
0.1%
3460000-113-2015-00021 1
 
0.1%
3460000-113-2012-00002 1
 
0.1%
3460000-113-2012-00001 1
 
0.1%
3460000-113-2009-00004 1
 
0.1%
3460000-113-2014-00003 1
 
0.1%
Other values (1274) 1274
99.2%
2023-12-11T05:46:05.218750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11725
41.5%
1 3993
 
14.1%
- 3852
 
13.6%
3 2902
 
10.3%
2 2223
 
7.9%
4 1602
 
5.7%
5 517
 
1.8%
6 453
 
1.6%
7 357
 
1.3%
8 326
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24396
86.4%
Dash Punctuation 3852
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11725
48.1%
1 3993
 
16.4%
3 2902
 
11.9%
2 2223
 
9.1%
4 1602
 
6.6%
5 517
 
2.1%
6 453
 
1.9%
7 357
 
1.5%
8 326
 
1.3%
9 298
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 3852
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28248
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11725
41.5%
1 3993
 
14.1%
- 3852
 
13.6%
3 2902
 
10.3%
2 2223
 
7.9%
4 1602
 
5.7%
5 517
 
1.8%
6 453
 
1.6%
7 357
 
1.3%
8 326
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11725
41.5%
1 3993
 
14.1%
- 3852
 
13.6%
3 2902
 
10.3%
2 2223
 
7.9%
4 1602
 
5.7%
5 517
 
1.8%
6 453
 
1.6%
7 357
 
1.3%
8 326
 
1.2%

인허가일자
Real number (ℝ)

Distinct1036
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20141505
Minimum19950510
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:05.593455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950510
5-th percentile20010714
Q120091082
median20160404
Q320200422
95-th percentile20220529
Maximum20221230
Range270720
Interquartile range (IQR)109340

Descriptive statistics

Standard deviation67495.29
Coefficient of variation (CV)0.0033510549
Kurtosis-0.4424917
Mean20141505
Median Absolute Deviation (MAD)40708
Skewness-0.77956198
Sum2.5861693 × 1010
Variance4.5556141 × 109
MonotonicityNot monotonic
2023-12-11T05:46:05.893137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170320 5
 
0.4%
20180508 5
 
0.4%
20220107 4
 
0.3%
20121105 4
 
0.3%
20190613 4
 
0.3%
20190826 4
 
0.3%
20160127 4
 
0.3%
20160712 4
 
0.3%
20130610 3
 
0.2%
20210610 3
 
0.2%
Other values (1026) 1244
96.9%
ValueCountFrequency (%)
19950510 1
0.1%
19950904 1
0.1%
19961210 1
0.1%
19961218 1
0.1%
19970201 1
0.1%
19970318 1
0.1%
19970627 1
0.1%
19971009 1
0.1%
19971015 1
0.1%
19971209 1
0.1%
ValueCountFrequency (%)
20221230 2
0.2%
20221223 1
0.1%
20221221 1
0.1%
20221216 1
0.1%
20221214 1
0.1%
20221209 1
0.1%
20221208 1
0.1%
20221129 1
0.1%
20221128 1
0.1%
20221124 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3
730 
1
554 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 730
56.9%
1 554
43.1%

Length

2023-12-11T05:46:06.170657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:06.363038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 730
56.9%
1 554
43.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업
730 
영업/정상
554 

Length

Max length5
Median length2
Mean length3.2943925
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 730
56.9%
영업/정상 554
43.1%

Length

2023-12-11T05:46:06.541206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:06.713484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 730
56.9%
영업/정상 554
43.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2
730 
1
554 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 730
56.9%
1 554
43.1%

Length

2023-12-11T05:46:06.884194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:07.035333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 730
56.9%
1 554
43.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업
730 
영업
554 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 730
56.9%
영업 554
43.1%

Length

2023-12-11T05:46:07.189575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:07.333729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 730
56.9%
영업 554
43.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct642
Distinct (%)87.9%
Missing554
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean20147260
Minimum20001029
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:07.900848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001029
5-th percentile20040760
Q120100140
median20161208
Q320200808
95-th percentile20220808
Maximum20221230
Range220201
Interquartile range (IQR)100668

Descriptive statistics

Standard deviation60734.109
Coefficient of variation (CV)0.0030145096
Kurtosis-1.0171963
Mean20147260
Median Absolute Deviation (MAD)49007.5
Skewness-0.55842481
Sum1.47075 × 1010
Variance3.688632 × 109
MonotonicityNot monotonic
2023-12-11T05:46:08.161175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 5
 
0.4%
20070116 4
 
0.3%
20151229 3
 
0.2%
20040830 3
 
0.2%
20021224 3
 
0.2%
20161229 3
 
0.2%
20201028 3
 
0.2%
20201124 3
 
0.2%
20191111 3
 
0.2%
20191227 3
 
0.2%
Other values (632) 697
54.3%
(Missing) 554
43.1%
ValueCountFrequency (%)
20001029 1
 
0.1%
20020507 1
 
0.1%
20020722 1
 
0.1%
20020808 1
 
0.1%
20020827 1
 
0.1%
20021023 1
 
0.1%
20021205 1
 
0.1%
20021223 1
 
0.1%
20021224 3
0.2%
20021227 1
 
0.1%
ValueCountFrequency (%)
20221230 1
 
0.1%
20221229 1
 
0.1%
20221228 1
 
0.1%
20221227 2
0.2%
20221226 1
 
0.1%
20221221 1
 
0.1%
20221220 3
0.2%
20221219 1
 
0.1%
20221215 1
 
0.1%
20221214 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

소재지전화
Text

MISSING 

Distinct666
Distinct (%)91.6%
Missing557
Missing (%)43.4%
Memory size10.2 KiB
2023-12-11T05:46:08.548014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.883081
Min length7

Characters and Unicode

Total characters7912
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

Unique611 ?
Unique (%)84.0%

Sample

1st row053 7461239
2nd row16001037
3rd row053 2540892
4th row053 7812662
5th row053 8547554
ValueCountFrequency (%)
053 493
31.6%
070 41
 
2.6%
311 9
 
0.6%
313 8
 
0.5%
625 7
 
0.4%
746 7
 
0.4%
312 7
 
0.4%
9909 6
 
0.4%
584 5
 
0.3%
755 5
 
0.3%
Other values (813) 972
62.3%
2023-12-11T05:46:09.107437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1185
15.0%
0 1162
14.7%
3 1055
13.3%
839
10.6%
2 604
7.6%
1 602
7.6%
7 573
7.2%
8 499
6.3%
6 498
6.3%
4 494
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7073
89.4%
Space Separator 839
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1185
16.8%
0 1162
16.4%
3 1055
14.9%
2 604
8.5%
1 602
8.5%
7 573
8.1%
8 499
7.1%
6 498
7.0%
4 494
7.0%
9 401
 
5.7%
Space Separator
ValueCountFrequency (%)
839
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1185
15.0%
0 1162
14.7%
3 1055
13.3%
839
10.6%
2 604
7.6%
1 602
7.6%
7 573
7.2%
8 499
6.3%
6 498
6.3%
4 494
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1185
15.0%
0 1162
14.7%
3 1055
13.3%
839
10.6%
2 604
7.6%
1 602
7.6%
7 573
7.2%
8 499
6.3%
6 498
6.3%
4 494
6.2%

소재지면적
Text

MISSING 

Distinct703
Distinct (%)62.0%
Missing151
Missing (%)11.8%
Memory size10.2 KiB
2023-12-11T05:46:09.663734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.9126214
Min length3

Characters and Unicode

Total characters5566
Distinct characters12
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

Unique589 ?
Unique (%)52.0%

Sample

1st row.00
2nd row9.00
3rd row25.90
4th row12.00
5th row14.76
ValueCountFrequency (%)
00 93
 
8.2%
33.00 29
 
2.6%
3.30 23
 
2.0%
30.00 17
 
1.5%
16.50 14
 
1.2%
25.00 12
 
1.1%
50.00 11
 
1.0%
6.60 11
 
1.0%
10.00 11
 
1.0%
20.00 9
 
0.8%
Other values (693) 903
79.7%
2023-12-11T05:46:10.499191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1369
24.6%
. 1133
20.4%
1 490
 
8.8%
2 449
 
8.1%
3 421
 
7.6%
5 351
 
6.3%
6 320
 
5.7%
4 316
 
5.7%
8 243
 
4.4%
9 238
 
4.3%
Other values (2) 236
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4429
79.6%
Other Punctuation 1137
 
20.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1369
30.9%
1 490
 
11.1%
2 449
 
10.1%
3 421
 
9.5%
5 351
 
7.9%
6 320
 
7.2%
4 316
 
7.1%
8 243
 
5.5%
9 238
 
5.4%
7 232
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 1133
99.6%
, 4
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 5566
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1369
24.6%
. 1133
20.4%
1 490
 
8.8%
2 449
 
8.1%
3 421
 
7.6%
5 351
 
6.3%
6 320
 
5.7%
4 316
 
5.7%
8 243
 
4.4%
9 238
 
4.3%
Other values (2) 236
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5566
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1369
24.6%
. 1133
20.4%
1 490
 
8.8%
2 449
 
8.1%
3 421
 
7.6%
5 351
 
6.3%
6 320
 
5.7%
4 316
 
5.7%
8 243
 
4.4%
9 238
 
4.3%
Other values (2) 236
 
4.2%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct418
Distinct (%)33.3%
Missing27
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean704462.29
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:10.828137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700802.8
Q1702040
median703830
Q3706220
95-th percentile711833
Maximum711893
Range11883
Interquartile range (IQR)4180

Descriptive statistics

Standard deviation3021.0907
Coefficient of variation (CV)0.0042885059
Kurtosis0.59377233
Mean704462.29
Median Absolute Deviation (MAD)1987
Skewness0.99945695
Sum8.855091 × 108
Variance9126989.1
MonotonicityNot monotonic
2023-12-11T05:46:11.085974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702825 22
 
1.7%
701824 15
 
1.2%
706818 14
 
1.1%
703100 13
 
1.0%
703830 13
 
1.0%
711814 12
 
0.9%
704080 12
 
0.9%
706803 11
 
0.9%
711851 11
 
0.9%
702903 10
 
0.8%
Other values (408) 1124
87.5%
(Missing) 27
 
2.1%
ValueCountFrequency (%)
700010 2
 
0.2%
700040 5
0.4%
700070 1
 
0.1%
700092 3
0.2%
700111 1
 
0.1%
700150 3
0.2%
700170 1
 
0.1%
700180 1
 
0.1%
700191 3
0.2%
700192 1
 
0.1%
ValueCountFrequency (%)
711893 1
 
0.1%
711892 2
 
0.2%
711891 7
0.5%
711874 1
 
0.1%
711863 7
0.5%
711862 1
 
0.1%
711858 3
0.2%
711856 2
 
0.2%
711855 7
0.5%
711852 4
0.3%
Distinct1208
Distinct (%)94.2%
Missing1
Missing (%)0.1%
Memory size10.2 KiB
2023-12-11T05:46:11.647097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length22.929072
Min length16

Characters and Unicode

Total characters29418
Distinct characters301
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1145 ?
Unique (%)89.2%

Sample

1st row대구광역시 중구 종로2가 0039-0001 3층 302호
2nd row대구광역시 중구 남산동 0937-0011
3rd row대구광역시 중구 삼덕동2가 0017-0001
4th row대구광역시 중구 동문동 0038-0006 패션쥬얼리 전문타운
5th row대구광역시 중구 삼덕동3가 0264-0001
ValueCountFrequency (%)
대구광역시 1283
 
21.6%
북구 261
 
4.4%
수성구 230
 
3.9%
동구 199
 
3.4%
달서구 177
 
3.0%
달성군 136
 
2.3%
중구 108
 
1.8%
1층 92
 
1.6%
서구 90
 
1.5%
남구 82
 
1.4%
Other values (1652) 3274
55.2%
2023-12-11T05:46:12.461608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5886
20.0%
2487
 
8.5%
1 1531
 
5.2%
1442
 
4.9%
1417
 
4.8%
1309
 
4.4%
1287
 
4.4%
1283
 
4.4%
- 1058
 
3.6%
2 876
 
3.0%
Other values (291) 10842
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15586
53.0%
Decimal Number 6671
22.7%
Space Separator 5886
 
20.0%
Dash Punctuation 1058
 
3.6%
Open Punctuation 76
 
0.3%
Close Punctuation 76
 
0.3%
Other Punctuation 31
 
0.1%
Uppercase Letter 30
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2487
16.0%
1442
 
9.3%
1417
 
9.1%
1309
 
8.4%
1287
 
8.3%
1283
 
8.2%
466
 
3.0%
338
 
2.2%
310
 
2.0%
307
 
2.0%
Other values (259) 4940
31.7%
Uppercase Letter
ValueCountFrequency (%)
B 7
23.3%
A 3
10.0%
J 3
10.0%
T 3
10.0%
D 3
10.0%
M 2
 
6.7%
C 2
 
6.7%
P 2
 
6.7%
N 1
 
3.3%
S 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
1 1531
23.0%
2 876
13.1%
0 872
13.1%
3 658
9.9%
5 533
 
8.0%
4 501
 
7.5%
6 442
 
6.6%
8 441
 
6.6%
7 435
 
6.5%
9 382
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 28
90.3%
/ 2
 
6.5%
. 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
d 2
50.0%
Space Separator
ValueCountFrequency (%)
5886
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1058
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15586
53.0%
Common 13798
46.9%
Latin 34
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2487
16.0%
1442
 
9.3%
1417
 
9.1%
1309
 
8.4%
1287
 
8.3%
1283
 
8.2%
466
 
3.0%
338
 
2.2%
310
 
2.0%
307
 
2.0%
Other values (259) 4940
31.7%
Common
ValueCountFrequency (%)
5886
42.7%
1 1531
 
11.1%
- 1058
 
7.7%
2 876
 
6.3%
0 872
 
6.3%
3 658
 
4.8%
5 533
 
3.9%
4 501
 
3.6%
6 442
 
3.2%
8 441
 
3.2%
Other values (7) 1000
 
7.2%
Latin
ValueCountFrequency (%)
B 7
20.6%
A 3
8.8%
J 3
8.8%
T 3
8.8%
D 3
8.8%
s 2
 
5.9%
M 2
 
5.9%
d 2
 
5.9%
C 2
 
5.9%
P 2
 
5.9%
Other values (5) 5
14.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15586
53.0%
ASCII 13832
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5886
42.6%
1 1531
 
11.1%
- 1058
 
7.6%
2 876
 
6.3%
0 872
 
6.3%
3 658
 
4.8%
5 533
 
3.9%
4 501
 
3.6%
6 442
 
3.2%
8 441
 
3.2%
Other values (22) 1034
 
7.5%
Hangul
ValueCountFrequency (%)
2487
16.0%
1442
 
9.3%
1417
 
9.1%
1309
 
8.4%
1287
 
8.3%
1283
 
8.2%
466
 
3.0%
338
 
2.2%
310
 
2.0%
307
 
2.0%
Other values (259) 4940
31.7%

도로명전체주소
Text

MISSING 

Distinct1019
Distinct (%)96.7%
Missing230
Missing (%)17.9%
Memory size10.2 KiB
2023-12-11T05:46:13.149044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length29.740987
Min length20

Characters and Unicode

Total characters31347
Distinct characters332
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique990 ?
Unique (%)93.9%

Sample

1st row대구광역시 중구 중앙대로77길 45, 3층 302호 (종로2가)
2nd row대구광역시 중구 달구벌대로 2078, 5층 (남산동)
3rd row대구광역시 중구 공평로10길 18, 1층 (삼덕동2가)
4th row대구광역시 중구 경상감영길 176, 패션쥬얼리 전문타운 2층 (동문동)
5th row대구광역시 중구 달구벌대로445길 44-22, 3층 (삼덕동3가)
ValueCountFrequency (%)
대구광역시 1054
 
16.3%
1층 323
 
5.0%
북구 211
 
3.3%
수성구 192
 
3.0%
동구 163
 
2.5%
2층 148
 
2.3%
달서구 140
 
2.2%
달성군 120
 
1.9%
중구 98
 
1.5%
3층 80
 
1.2%
Other values (1603) 3929
60.8%
2023-12-11T05:46:14.021114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5404
 
17.2%
2131
 
6.8%
1383
 
4.4%
1353
 
4.3%
1 1337
 
4.3%
1090
 
3.5%
1068
 
3.4%
1054
 
3.4%
1014
 
3.2%
( 971
 
3.1%
Other values (322) 14542
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17543
56.0%
Space Separator 5404
 
17.2%
Decimal Number 5224
 
16.7%
Open Punctuation 971
 
3.1%
Close Punctuation 971
 
3.1%
Other Punctuation 918
 
2.9%
Dash Punctuation 264
 
0.8%
Uppercase Letter 43
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2131
 
12.1%
1383
 
7.9%
1353
 
7.7%
1090
 
6.2%
1068
 
6.1%
1054
 
6.0%
1014
 
5.8%
745
 
4.2%
574
 
3.3%
481
 
2.7%
Other values (289) 6650
37.9%
Uppercase Letter
ValueCountFrequency (%)
B 15
34.9%
A 11
25.6%
J 4
 
9.3%
T 3
 
7.0%
P 2
 
4.7%
M 2
 
4.7%
D 2
 
4.7%
K 1
 
2.3%
S 1
 
2.3%
H 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 1337
25.6%
2 847
16.2%
3 597
11.4%
4 462
 
8.8%
0 431
 
8.3%
5 419
 
8.0%
6 351
 
6.7%
7 303
 
5.8%
8 251
 
4.8%
9 226
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
s 2
28.6%
d 2
28.6%
c 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 916
99.8%
. 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 971
100.0%
Close Punctuation
ValueCountFrequency (%)
) 971
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17543
56.0%
Common 13754
43.9%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2131
 
12.1%
1383
 
7.9%
1353
 
7.7%
1090
 
6.2%
1068
 
6.1%
1054
 
6.0%
1014
 
5.8%
745
 
4.2%
574
 
3.3%
481
 
2.7%
Other values (289) 6650
37.9%
Common
ValueCountFrequency (%)
5404
39.3%
1 1337
 
9.7%
( 971
 
7.1%
) 971
 
7.1%
, 916
 
6.7%
2 847
 
6.2%
3 597
 
4.3%
4 462
 
3.4%
0 431
 
3.1%
5 419
 
3.0%
Other values (8) 1399
 
10.2%
Latin
ValueCountFrequency (%)
B 15
30.0%
A 11
22.0%
J 4
 
8.0%
T 3
 
6.0%
P 2
 
4.0%
M 2
 
4.0%
e 2
 
4.0%
D 2
 
4.0%
s 2
 
4.0%
d 2
 
4.0%
Other values (5) 5
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17543
56.0%
ASCII 13804
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5404
39.1%
1 1337
 
9.7%
( 971
 
7.0%
) 971
 
7.0%
, 916
 
6.6%
2 847
 
6.1%
3 597
 
4.3%
4 462
 
3.3%
0 431
 
3.1%
5 419
 
3.0%
Other values (23) 1449
 
10.5%
Hangul
ValueCountFrequency (%)
2131
 
12.1%
1383
 
7.9%
1353
 
7.7%
1090
 
6.2%
1068
 
6.1%
1054
 
6.0%
1014
 
5.8%
745
 
4.2%
574
 
3.3%
481
 
2.7%
Other values (289) 6650
37.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct586
Distinct (%)55.8%
Missing233
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean42003.334
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:14.254714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41076
Q141488.5
median41965
Q342500.5
95-th percentile42970
Maximum43024
Range2024
Interquartile range (IQR)1012

Descriptive statistics

Standard deviation600.12575
Coefficient of variation (CV)0.014287574
Kurtosis-1.1541603
Mean42003.334
Median Absolute Deviation (MAD)487
Skewness0.12454961
Sum44145504
Variance360150.92
MonotonicityNot monotonic
2023-12-11T05:46:14.488743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41485 15
 
1.2%
41490 14
 
1.1%
41934 11
 
0.9%
42922 9
 
0.7%
42974 8
 
0.6%
41750 8
 
0.6%
41260 8
 
0.6%
41472 7
 
0.5%
41937 7
 
0.5%
41586 6
 
0.5%
Other values (576) 958
74.6%
(Missing) 233
 
18.1%
ValueCountFrequency (%)
41000 2
0.2%
41001 2
0.2%
41002 1
0.1%
41007 1
0.1%
41008 2
0.2%
41009 2
0.2%
41015 1
0.1%
41020 2
0.2%
41023 1
0.1%
41026 1
0.1%
ValueCountFrequency (%)
43024 3
0.2%
43023 1
 
0.1%
43019 1
 
0.1%
43018 1
 
0.1%
43017 1
 
0.1%
43014 1
 
0.1%
43013 2
0.2%
43011 1
 
0.1%
43010 1
 
0.1%
43009 2
0.2%
Distinct1173
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-11T05:46:14.841764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length6.6549844
Min length2

Characters and Unicode

Total characters8545
Distinct characters613
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

Unique1079 ?
Unique (%)84.0%

Sample

1st row뷰티(View Tea)
2nd row데일리케어컴퍼니
3rd row하우스오브브이(House of V)
4th row리브유
5th row유어밸런스
ValueCountFrequency (%)
주식회사 81
 
5.6%
농업회사법인 10
 
0.7%
6
 
0.4%
선진vfc 6
 
0.4%
아우노 4
 
0.3%
company 4
 
0.3%
산수원 3
 
0.2%
카페봄봄 3
 
0.2%
부경코프레이션 3
 
0.2%
하나그린통상 3
 
0.2%
Other values (1220) 1330
91.5%
2023-12-11T05:46:15.428320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
455
 
5.3%
) 364
 
4.3%
( 362
 
4.2%
285
 
3.3%
249
 
2.9%
223
 
2.6%
183
 
2.1%
169
 
2.0%
163
 
1.9%
133
 
1.6%
Other values (603) 5959
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7240
84.7%
Close Punctuation 364
 
4.3%
Open Punctuation 362
 
4.2%
Uppercase Letter 187
 
2.2%
Space Separator 169
 
2.0%
Lowercase Letter 168
 
2.0%
Decimal Number 29
 
0.3%
Other Punctuation 23
 
0.3%
Other Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
455
 
6.3%
285
 
3.9%
249
 
3.4%
223
 
3.1%
183
 
2.5%
163
 
2.3%
133
 
1.8%
125
 
1.7%
124
 
1.7%
118
 
1.6%
Other values (540) 5182
71.6%
Uppercase Letter
ValueCountFrequency (%)
F 25
13.4%
C 21
11.2%
S 21
11.2%
N 12
 
6.4%
D 11
 
5.9%
T 10
 
5.3%
B 10
 
5.3%
I 9
 
4.8%
O 8
 
4.3%
V 8
 
4.3%
Other values (13) 52
27.8%
Lowercase Letter
ValueCountFrequency (%)
e 21
12.5%
n 20
11.9%
a 20
11.9%
o 18
10.7%
i 13
7.7%
t 11
 
6.5%
l 10
 
6.0%
y 9
 
5.4%
r 9
 
5.4%
u 5
 
3.0%
Other values (12) 32
19.0%
Decimal Number
ValueCountFrequency (%)
2 7
24.1%
9 4
13.8%
1 4
13.8%
4 4
13.8%
3 3
10.3%
5 2
 
6.9%
0 2
 
6.9%
6 1
 
3.4%
8 1
 
3.4%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 16
69.6%
. 6
 
26.1%
, 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 364
100.0%
Open Punctuation
ValueCountFrequency (%)
( 362
100.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7241
84.7%
Common 948
 
11.1%
Latin 355
 
4.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
455
 
6.3%
285
 
3.9%
249
 
3.4%
223
 
3.1%
183
 
2.5%
163
 
2.3%
133
 
1.8%
125
 
1.7%
124
 
1.7%
118
 
1.6%
Other values (540) 5183
71.6%
Latin
ValueCountFrequency (%)
F 25
 
7.0%
C 21
 
5.9%
S 21
 
5.9%
e 21
 
5.9%
n 20
 
5.6%
a 20
 
5.6%
o 18
 
5.1%
i 13
 
3.7%
N 12
 
3.4%
D 11
 
3.1%
Other values (35) 173
48.7%
Common
ValueCountFrequency (%)
) 364
38.4%
( 362
38.2%
169
17.8%
& 16
 
1.7%
2 7
 
0.7%
. 6
 
0.6%
9 4
 
0.4%
1 4
 
0.4%
4 4
 
0.4%
3 3
 
0.3%
Other values (7) 9
 
0.9%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7239
84.7%
ASCII 1303
 
15.2%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
455
 
6.3%
285
 
3.9%
249
 
3.4%
223
 
3.1%
183
 
2.5%
163
 
2.3%
133
 
1.8%
125
 
1.7%
124
 
1.7%
118
 
1.6%
Other values (539) 5181
71.6%
ASCII
ValueCountFrequency (%)
) 364
27.9%
( 362
27.8%
169
13.0%
F 25
 
1.9%
C 21
 
1.6%
S 21
 
1.6%
e 21
 
1.6%
n 20
 
1.5%
a 20
 
1.5%
o 18
 
1.4%
Other values (52) 262
20.1%
None
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct1226
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162745 × 1013
Minimum2.0010823 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:15.701823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010823 × 1013
5-th percentile2.0021113 × 1013
Q12.0130278 × 1013
median2.0190518 × 1013
Q32.0210911 × 1013
95-th percentile2.0221121 × 1013
Maximum2.022123 × 1013
Range2.1040715 × 1011
Interquartile range (IQR)8.063253 × 1010

Descriptive statistics

Standard deviation6.3174215 × 1010
Coefficient of variation (CV)0.003133215
Kurtosis-0.23638392
Mean2.0162745 × 1013
Median Absolute Deviation (MAD)2.9902985 × 1010
Skewness-1.0388312
Sum2.5888964 × 1016
Variance3.9909814 × 1021
MonotonicityNot monotonic
2023-12-11T05:46:15.915195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020530000000 12
 
0.9%
20021113000000 10
 
0.8%
20020126000000 9
 
0.7%
20020510000000 5
 
0.4%
20021019000000 5
 
0.4%
20020115000000 5
 
0.4%
20140512105112 3
 
0.2%
20060825000000 3
 
0.2%
20041011000000 3
 
0.2%
20021012000000 3
 
0.2%
Other values (1216) 1226
95.5%
ValueCountFrequency (%)
20010823000000 1
 
0.1%
20020115000000 5
0.4%
20020124000000 2
 
0.2%
20020125000000 2
 
0.2%
20020126000000 9
0.7%
20020326000000 1
 
0.1%
20020403000000 1
 
0.1%
20020416000000 1
 
0.1%
20020503000000 1
 
0.1%
20020507000000 1
 
0.1%
ValueCountFrequency (%)
20221230145724 1
0.1%
20221230132322 1
0.1%
20221230104939 1
0.1%
20221229162100 1
0.1%
20221229092855 1
0.1%
20221228153813 1
0.1%
20221228105959 1
0.1%
20221228094323 1
0.1%
20221228091313 1
0.1%
20221227171456 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
I
714 
U
570 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 714
55.6%
U 570
44.4%

Length

2023-12-11T05:46:16.118081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:16.305998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 714
55.6%
u 570
44.4%
Distinct536
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T05:46:16.539676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:46:16.766973image/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 size10.2 KiB
유통전문판매업
1284 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통전문판매업 1284
100.0%

Length

2023-12-11T05:46:16.958464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:17.132383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 1284
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1134
Distinct (%)90.7%
Missing34
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean342879.88
Minimum323859.83
Maximum358046.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:17.321040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum323859.83
5-th percentile332335.67
Q1339261.95
median343438.42
Q3346635.32
95-th percentile353135.01
Maximum358046.4
Range34186.574
Interquartile range (IQR)7373.3652

Descriptive statistics

Standard deviation5734.1435
Coefficient of variation (CV)0.016723476
Kurtosis0.17089963
Mean342879.88
Median Absolute Deviation (MAD)3614.2162
Skewness-0.14876257
Sum4.2859985 × 108
Variance32880402
MonotonicityNot monotonic
2023-12-11T05:46:17.580227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336590.459070581 5
 
0.4%
347950.194974987 5
 
0.4%
343981.615381126 5
 
0.4%
343157.682044362 4
 
0.3%
334476.772367791 3
 
0.2%
346942.691096638 3
 
0.2%
346193.266936119 3
 
0.2%
345866.653114608 3
 
0.2%
344010.84941716 3
 
0.2%
346677.868181036 3
 
0.2%
Other values (1124) 1213
94.5%
(Missing) 34
 
2.6%
ValueCountFrequency (%)
323859.830021514 1
0.1%
325733.855685744 1
0.1%
326032.481594907 1
0.1%
327448.497282442 1
0.1%
327489.324166674 1
0.1%
327590.551952401 1
0.1%
327723.743609075 1
0.1%
327858.27510418 1
0.1%
327894.698221242 1
0.1%
327940.79962787 1
0.1%
ValueCountFrequency (%)
358046.403776034 1
0.1%
357908.123249657 1
0.1%
357870.136201308 1
0.1%
356698.367083593 2
0.2%
356588.107240614 1
0.1%
356477.570167987 1
0.1%
356353.915440362 1
0.1%
356331.11092277 1
0.1%
356325.33935912 1
0.1%
356032.203863692 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1134
Distinct (%)90.7%
Missing34
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean263440.02
Minimum238306.85
Maximum277799.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:17.794513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238306.85
5-th percentile255631.85
Q1261215.85
median264065.3
Q3265996.99
95-th percentile271287.59
Maximum277799.71
Range39492.858
Interquartile range (IQR)4781.1344

Descriptive statistics

Standard deviation5345.828
Coefficient of variation (CV)0.020292391
Kurtosis4.7248241
Mean263440.02
Median Absolute Deviation (MAD)2590.04
Skewness-1.4027138
Sum3.2930003 × 108
Variance28577877
MonotonicityNot monotonic
2023-12-11T05:46:18.012979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257286.897263086 5
 
0.4%
265687.625739554 5
 
0.4%
264421.752760284 5
 
0.4%
261957.795169076 4
 
0.3%
260459.894286451 3
 
0.2%
263989.847736771 3
 
0.2%
264708.839935097 3
 
0.2%
261215.496084048 3
 
0.2%
263014.492917054 3
 
0.2%
264714.344433082 3
 
0.2%
Other values (1124) 1213
94.5%
(Missing) 34
 
2.6%
ValueCountFrequency (%)
238306.8503106 1
0.1%
238531.354079775 1
0.1%
238893.829911915 1
0.1%
239193.193196123 1
0.1%
239536.919741222 1
0.1%
240205.085493659 1
0.1%
240715.5562993 1
0.1%
240739.938522968 1
0.1%
240813.150041343 1
0.1%
241221.080539637 2
0.2%
ValueCountFrequency (%)
277799.708684077 1
0.1%
277755.206407657 2
0.2%
277541.768687529 1
0.1%
277428.083074127 1
0.1%
276596.005371307 1
0.1%
275969.761183465 1
0.1%
275787.590179158 1
0.1%
274811.331596085 1
0.1%
274594.894588392 1
0.1%
274508.218106082 1
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
유통전문판매업
1284 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통전문판매업 1284
100.0%

Length

2023-12-11T05:46:18.288226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:18.539223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 1284
100.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
952 
0
332 

Length

Max length4
Median length4
Mean length3.2242991
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 952
74.1%
0 332
 
25.9%

Length

2023-12-11T05:46:18.758910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:18.930555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 952
74.1%
0 332
 
25.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
952 
0
332 

Length

Max length4
Median length4
Mean length3.2242991
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 952
74.1%
0 332
 
25.9%

Length

2023-12-11T05:46:19.089874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:19.256498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 952
74.1%
0 332
 
25.9%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
944 
상수도전용
338 
지하수전용
 
2

Length

Max length5
Median length4
Mean length4.2647975
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 944
73.5%
상수도전용 338
 
26.3%
지하수전용 2
 
0.2%

Length

2023-12-11T05:46:19.430160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:19.588434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 944
73.5%
상수도전용 338
 
26.3%
지하수전용 2
 
0.2%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
953 
0
331 

Length

Max length4
Median length4
Mean length3.2266355
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 953
74.2%
0 331
 
25.8%

Length

2023-12-11T05:46:19.786933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:19.946264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 953
74.2%
0 331
 
25.8%

본사직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.6%
Missing327
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean0.031347962
Minimum0
Maximum5
Zeros942
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:20.178135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.29828583
Coefficient of variation (CV)9.515318
Kurtosis161.25313
Mean0.031347962
Median Absolute Deviation (MAD)0
Skewness12.005637
Sum30
Variance0.088974436
MonotonicityNot monotonic
2023-12-11T05:46:20.412829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 942
73.4%
1 8
 
0.6%
2 3
 
0.2%
4 2
 
0.2%
5 1
 
0.1%
3 1
 
0.1%
(Missing) 327
 
25.5%
ValueCountFrequency (%)
0 942
73.4%
1 8
 
0.6%
2 3
 
0.2%
3 1
 
0.1%
4 2
 
0.2%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 2
 
0.2%
3 1
 
0.1%
2 3
 
0.2%
1 8
 
0.6%
0 942
73.4%

공장사무직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.6%
Missing327
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean0.11703239
Minimum0
Maximum6
Zeros883
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:20.686032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.46967938
Coefficient of variation (CV)4.0132425
Kurtosis41.347597
Mean0.11703239
Median Absolute Deviation (MAD)0
Skewness5.5280835
Sum112
Variance0.22059872
MonotonicityNot monotonic
2023-12-11T05:46:20.847727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 883
68.8%
1 47
 
3.7%
2 20
 
1.6%
3 5
 
0.4%
6 1
 
0.1%
4 1
 
0.1%
(Missing) 327
 
25.5%
ValueCountFrequency (%)
0 883
68.8%
1 47
 
3.7%
2 20
 
1.6%
3 5
 
0.4%
4 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 1
 
0.1%
3 5
 
0.4%
2 20
 
1.6%
1 47
 
3.7%
0 883
68.8%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.8%
Missing327
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean0.096133751
Minimum0
Maximum20
Zeros914
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:21.013893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8034677
Coefficient of variation (CV)8.3578108
Kurtosis420.48436
Mean0.096133751
Median Absolute Deviation (MAD)0
Skewness18.534024
Sum92
Variance0.64556035
MonotonicityNot monotonic
2023-12-11T05:46:21.605466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 914
71.2%
1 27
 
2.1%
2 10
 
0.8%
3 2
 
0.2%
5 1
 
0.1%
20 1
 
0.1%
4 1
 
0.1%
10 1
 
0.1%
(Missing) 327
 
25.5%
ValueCountFrequency (%)
0 914
71.2%
1 27
 
2.1%
2 10
 
0.8%
3 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
10 1
 
0.1%
20 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
10 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 2
 
0.2%
2 10
 
0.8%
1 27
 
2.1%
0 914
71.2%

공장생산직직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
0
933 
<NA>
328 
1
 
13
2
 
9
4
 
1

Length

Max length4
Median length1
Mean length1.7663551
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 933
72.7%
<NA> 328
 
25.5%
1 13
 
1.0%
2 9
 
0.7%
4 1
 
0.1%

Length

2023-12-11T05:46:21.794286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:21.967499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 933
72.7%
na 328
 
25.5%
1 13
 
1.0%
2 9
 
0.7%
4 1
 
0.1%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
779 
자가
333 
임대
172 

Length

Max length4
Median length4
Mean length3.2133956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 779
60.7%
자가 333
25.9%
임대 172
 
13.4%

Length

2023-12-11T05:46:22.209375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:22.373721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 779
60.7%
자가 333
25.9%
임대 172
 
13.4%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
948 
0
336 

Length

Max length4
Median length4
Mean length3.2149533
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 948
73.8%
0 336
 
26.2%

Length

2023-12-11T05:46:22.550000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:22.719601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 948
73.8%
0 336
 
26.2%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
948 
0
336 

Length

Max length4
Median length4
Mean length3.2149533
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 948
73.8%
0 336
 
26.2%

Length

2023-12-11T05:46:22.894629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:23.035406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 948
73.8%
0 336
 
26.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
False
1284 
ValueCountFrequency (%)
False 1284
100.0%
2023-12-11T05:46:23.158967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0748053
Minimum0
Maximum312.55
Zeros1187
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-11T05:46:23.314481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum312.55
Range312.55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.680894
Coefficient of variation (CV)8.0397393
Kurtosis210.09015
Mean2.0748053
Median Absolute Deviation (MAD)0
Skewness13.61621
Sum2664.05
Variance278.25222
MonotonicityNot monotonic
2023-12-11T05:46:23.518387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1187
92.4%
3.3 6
 
0.5%
5.0 5
 
0.4%
10.0 3
 
0.2%
4.0 3
 
0.2%
6.6 3
 
0.2%
1.0 2
 
0.2%
33.0 2
 
0.2%
20.0 2
 
0.2%
66.0 2
 
0.2%
Other values (65) 69
 
5.4%
ValueCountFrequency (%)
0.0 1187
92.4%
1.0 2
 
0.2%
1.2 1
 
0.1%
2.0 2
 
0.2%
2.18 1
 
0.1%
2.25 1
 
0.1%
2.55 1
 
0.1%
2.56 1
 
0.1%
2.6 1
 
0.1%
2.75 1
 
0.1%
ValueCountFrequency (%)
312.55 1
0.1%
274.38 1
0.1%
240.0 1
0.1%
222.12 1
0.1%
144.33 1
0.1%
106.6 1
0.1%
101.52 1
0.1%
84.92 1
0.1%
66.0 2
0.2%
51.68 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01유통전문판매업07_22_17_P34100003410000-113-2021-0000920211129<NA>3폐업2폐업20220726<NA><NA><NA><NA>.00700192대구광역시 중구 종로2가 0039-0001 3층 302호대구광역시 중구 중앙대로77길 45, 3층 302호 (종로2가)41934뷰티(View Tea)20220726175625U2022-07-28 02:40:00.0유통전문판매업343618.460958264278.482979유통전문판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
12유통전문판매업07_22_17_P34100003410000-113-2020-0000720200807<NA>3폐업2폐업20220110<NA><NA><NA><NA>9.00700832대구광역시 중구 남산동 0937-0011대구광역시 중구 달구벌대로 2078, 5층 (남산동)41966데일리케어컴퍼니20220110100018U2022-01-12 02:40:00.0유통전문판매업343617.423503263991.522262유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
23유통전문판매업07_22_17_P34100003410000-113-2020-0000620200720<NA>3폐업2폐업20220816<NA><NA><NA><NA>25.90700412대구광역시 중구 삼덕동2가 0017-0001대구광역시 중구 공평로10길 18, 1층 (삼덕동2가)41940하우스오브브이(House of V)20220816170356U2022-08-18 02:40:00.0유통전문판매업344503.721048264249.902082유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
34유통전문판매업07_22_17_P34100003410000-113-2020-0000920200827<NA>3폐업2폐업20220930<NA><NA><NA><NA>12.00700180대구광역시 중구 동문동 0038-0006 패션쥬얼리 전문타운대구광역시 중구 경상감영길 176, 패션쥬얼리 전문타운 2층 (동문동)41913리브유20220930143739U2022-10-02 02:40:00.0유통전문판매업344123.607113264682.567328유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
45유통전문판매업07_22_17_P34100003410000-113-2020-0001020200831<NA>3폐업2폐업20210415<NA><NA><NA><NA>14.76700413대구광역시 중구 삼덕동3가 0264-0001대구광역시 중구 달구벌대로445길 44-22, 3층 (삼덕동3가)41948유어밸런스20210415172041U2021-04-17 02:40:00.0유통전문판매업345133.885687263875.819382유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
56유통전문판매업07_22_17_P34100003410000-113-2021-0000820210819<NA>3폐업2폐업20221220<NA><NA><NA><NA>3.00700826대구광역시 중구 남산동 2107-20 지상2층 220호대구광역시 중구 명덕로 199, 지상2층 220호 (남산동)41963티러브코리아20221220110305U2022-12-22 02:40:00.0유통전문판매업343750.428484263042.785022유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
67유통전문판매업07_22_17_P34100003410000-113-2018-0000320180420<NA>3폐업2폐업20210708<NA><NA><NA><NA>4.20700716대구광역시 중구 동성로2가 0166-0001 대구백화점건물 지상 11층대구광역시 중구 동성로 30, 대구백화점건물 지상 11층 (동성로2가)41938토담순두부대백점20210709091538U2021-07-11 02:40:00.0유통전문판매업344047.979265264405.128696유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
78유통전문판매업07_22_17_P34100003410000-113-2018-0000420180508<NA>3폐업2폐업20210126<NA><NA><NA><NA>80.00700811대구광역시 중구 대봉동 0188-0009 지상 3층대구광역시 중구 동덕로 7, 지상 3층 (대봉동)41954주식회사 다다컴퍼니20210126154759U2021-01-28 02:40:00.0유통전문판매업344803.668313262942.555066유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
89유통전문판매업07_22_17_P34100003410000-113-2018-0000520180626<NA>3폐업2폐업20191218<NA><NA><NA><NA>143.01700822대구광역시 중구 봉산동 0028-0006 지상 3층대구광역시 중구 동성로1길 52, 지상 3층 (봉산동)41943히트방앗간20191218170108U2019-12-20 02:40:00.0유통전문판매업344087.048465264015.597741유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
910유통전문판매업07_22_17_P34100003410000-113-2016-0000220160427<NA>3폐업2폐업20180314<NA><NA><NA><NA>5.70700230대구광역시 중구 남성로 0020-0005 지상1층대구광역시 중구 남성로 5 (남성로, 지상1층)41934대한약초20180314161314I2018-08-31 23:59:59.0유통전문판매업343338.902682264381.802951유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
12741275유통전문판매업07_22_17_P34800003480000-113-2013-0000420131022<NA>1영업/정상1영업<NA><NA><NA><NA>053 630 38406.00711892대구광역시 달성군 구지면 내리 847-15대구광역시 달성군 구지면 달성2차4로 3743013리치프로덕츠코리아 유한책임회사20220919173819U2022-09-21 02:40:00.0유통전문판매업328520.607105238531.35408유통전문판매업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>
12751276유통전문판매업07_22_17_P34800003480000-113-2018-0000120180111<NA>1영업/정상1영업<NA><NA><NA><NA>053 611 282130.00<NA>대구광역시 달성군 유가읍 유곡리 1163-4대구광역시 달성군 유가읍 테크노중앙대로2길 16, 1층42993유가찹쌀영농조합20180111152724I2018-08-31 23:59:59.0유통전문판매업332069.781786242257.668368유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
12761277유통전문판매업07_22_17_P34800003480000-113-2013-0000620131118<NA>1영업/정상1영업<NA><NA><NA><NA>053 631 122216.08711835대구광역시 달성군 화원읍 천내리 264대구광역시 달성군 화원읍 비슬로511길 24-6, 1층42947선푸드 주식회사20221123102515U2022-11-25 02:40:00.0유통전문판매업335191.673553256980.574511유통전문판매업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
12771278유통전문판매업07_22_17_P34800003480000-113-2014-0000120140213<NA>1영업/정상1영업<NA><NA><NA><NA>1899491554.12711863대구광역시 달성군 가창면 삼산리 711대구광역시 달성군 가창면 가창로57길 2342940(주)종초원20160104164748I2018-08-31 23:59:59.0유통전문판매업349873.999232249984.471618유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N2.75<NA><NA><NA>
12781279유통전문판매업07_22_17_P34800003480000-113-2015-0000420151020<NA>1영업/정상1영업<NA><NA><NA><NA>1544586815.70711812대구광역시 달성군 다사읍 매곡리 1532-4대구광역시 달성군 다사읍 대실역북로2길 101-12, 1층42911농업회사법인 맑을청웰빙 주식회사20151020140253I2018-08-31 23:59:59.0유통전문판매업332585.830282263552.843937유통전문판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
12791280유통전문판매업07_22_17_P34800003480000-113-2016-0000120160923<NA>1영업/정상1영업<NA><NA><NA><NA><NA>220.00711855대구광역시 달성군 논공읍 본리리 29-124대구광역시 달성군 논공읍 논공로69길 3742982농업회사법인(주)초록들20160923154429I2018-08-31 23:59:59.0유통전문판매업332773.876358250187.535235유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
12801281유통전문판매업07_22_17_P34800003480000-113-2016-0000520161216<NA>1영업/정상1영업<NA><NA><NA><NA>053 566 078223.85711821대구광역시 달성군 하빈면 현내리 843-1대구광역시 달성군 하빈면 하빈로 394-1, 3층42902아이디온한국협농20161216112854I2018-08-31 23:59:59.0유통전문판매업330202.109121267664.839763유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
12811282유통전문판매업07_22_17_P34800003480000-113-2017-0000520171030<NA>1영업/정상1영업<NA><NA><NA><NA><NA>40.00711833대구광역시 달성군 화원읍 설화리 739-2 . 1층대구광역시 달성군 화원읍 명천로 320, 1층42957형제베리팜20171030145014I2018-08-31 23:59:59.0유통전문판매업334280.860598255888.547077유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N10.0<NA><NA><NA>
12821283유통전문판매업07_22_17_P34800003480000-113-2021-0000920210415<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.00711814대구광역시 달성군 다사읍 세천리 1678-5대구광역시 달성군 다사읍 세천로21길 2742922태광20220831100021U2022-09-02 02:40:00.0유통전문판매업332987.039749264990.963906유통전문판매업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
12831284유통전문판매업07_22_17_P34800003480000-113-2022-0001220220825<NA>1영업/정상1영업<NA><NA><NA><NA><NA>128.00711863대구광역시 달성군 가창면 우록리 106-1 1층대구광역시 달성군 가창면 우록길 96, 1층42940주식회사 엑스팩토리20220905134810U2022-09-07 02:40:00.0유통전문판매업349807.9096248785.138611유통전문판매업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>