Overview

Dataset statistics

Number of variables47
Number of observations2060
Missing cells22551
Missing cells (%)23.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory814.9 KiB
Average record size in memory405.1 B

Variable types

Numeric12
Categorical18
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_23_02_P_유흥주점영업_4월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084893&dataSetDetailId=DDI_0000084918&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
급수시설구분명 is highly imbalanced (50.4%)Imbalance
본사종업원수 is highly imbalanced (99.4%)Imbalance
공장사무직종업원수 is highly imbalanced (99.4%)Imbalance
공장판매직종업원수 is highly imbalanced (99.4%)Imbalance
공장생산직종업원수 is highly imbalanced (99.4%)Imbalance
보증액 is highly imbalanced (99.4%)Imbalance
월세액 is highly imbalanced (99.4%)Imbalance
인허가취소일자 has 2060 (100.0%) missing valuesMissing
폐업일자 has 1333 (64.7%) missing valuesMissing
휴업시작일자 has 2060 (100.0%) missing valuesMissing
휴업종료일자 has 2060 (100.0%) missing valuesMissing
재개업일자 has 2060 (100.0%) missing valuesMissing
소재지전화 has 230 (11.2%) missing valuesMissing
소재지우편번호 has 30 (1.5%) missing valuesMissing
도로명전체주소 has 467 (22.7%) missing valuesMissing
도로명우편번호 has 515 (25.0%) missing valuesMissing
좌표정보(X) has 79 (3.8%) missing valuesMissing
좌표정보(Y) has 79 (3.8%) missing valuesMissing
남성종사자수 has 633 (30.7%) missing valuesMissing
여성종사자수 has 632 (30.7%) missing valuesMissing
총종업원수 has 2060 (100.0%) missing valuesMissing
건물소유구분명 has 2060 (100.0%) missing valuesMissing
전통업소지정번호 has 2060 (100.0%) missing valuesMissing
전통업소주된음식 has 2060 (100.0%) missing valuesMissing
홈페이지 has 2060 (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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 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
남성종사자수 has 1221 (59.3%) zerosZeros
여성종사자수 has 1225 (59.5%) zerosZeros

Reproduction

Analysis started2023-12-10 18:57:54.944340
Analysis finished2023-12-10 18:57:56.650284
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2060
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1030.5
Minimum1
Maximum2060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:57:56.788101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile103.95
Q1515.75
median1030.5
Q31545.25
95-th percentile1957.05
Maximum2060
Range2059
Interquartile range (IQR)1029.5

Descriptive statistics

Standard deviation594.8151
Coefficient of variation (CV)0.57721019
Kurtosis-1.2
Mean1030.5
Median Absolute Deviation (MAD)515
Skewness0
Sum2122830
Variance353805
MonotonicityStrictly increasing
2023-12-11T03:57:57.015835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1418 1
 
< 0.1%
1384 1
 
< 0.1%
1383 1
 
< 0.1%
1382 1
 
< 0.1%
1381 1
 
< 0.1%
1380 1
 
< 0.1%
1379 1
 
< 0.1%
1378 1
 
< 0.1%
1377 1
 
< 0.1%
Other values (2050) 2050
99.5%
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 (%)
2060 1
< 0.1%
2059 1
< 0.1%
2058 1
< 0.1%
2057 1
< 0.1%
2056 1
< 0.1%
2055 1
< 0.1%
2054 1
< 0.1%
2053 1
< 0.1%
2052 1
< 0.1%
2051 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
유흥주점영업
2060 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 2060
100.0%

Length

2023-12-11T03:57:57.248695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:57:57.393621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 2060
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
07_23_02_P
2060 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_23_02_P
2nd row07_23_02_P
3rd row07_23_02_P
4th row07_23_02_P
5th row07_23_02_P

Common Values

ValueCountFrequency (%)
07_23_02_P 2060
100.0%

Length

2023-12-11T03:57:57.564879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:57:57.721523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_23_02_p 2060
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445568
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:57:57.875599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21179.814
Coefficient of variation (CV)0.0061469731
Kurtosis-1.2796673
Mean3445568
Median Absolute Deviation (MAD)20000
Skewness-0.23101849
Sum7.09787 × 109
Variance4.485845 × 108
MonotonicityIncreasing
2023-12-11T03:57:58.054527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 439
21.3%
3460000 358
17.4%
3420000 295
14.3%
3450000 289
14.0%
3430000 262
12.7%
3410000 193
9.4%
3440000 160
 
7.8%
3480000 64
 
3.1%
ValueCountFrequency (%)
3410000 193
9.4%
3420000 295
14.3%
3430000 262
12.7%
3440000 160
 
7.8%
3450000 289
14.0%
3460000 358
17.4%
3470000 439
21.3%
3480000 64
 
3.1%
ValueCountFrequency (%)
3480000 64
 
3.1%
3470000 439
21.3%
3460000 358
17.4%
3450000 289
14.0%
3440000 160
 
7.8%
3430000 262
12.7%
3420000 295
14.3%
3410000 193
9.4%

관리번호
Text

UNIQUE 

Distinct2060
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2023-12-11T03:57:58.367095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters45320
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

Unique2060 ?
Unique (%)100.0%

Sample

1st row3410000-102-2020-00001
2nd row3410000-102-2015-00001
3rd row3410000-102-2008-00003
4th row3410000-102-2008-00004
5th row3410000-102-2009-00002
ValueCountFrequency (%)
3410000-102-2020-00001 1
 
< 0.1%
3460000-102-2004-00008 1
 
< 0.1%
3460000-102-2001-00092 1
 
< 0.1%
3460000-102-2094-00002 1
 
< 0.1%
3460000-102-2000-00002 1
 
< 0.1%
3460000-102-2010-00005 1
 
< 0.1%
3460000-102-2009-00003 1
 
< 0.1%
3460000-102-2009-00002 1
 
< 0.1%
3460000-102-2000-00053 1
 
< 0.1%
3460000-102-2001-00067 1
 
< 0.1%
Other values (2050) 2050
99.5%
2023-12-11T03:57:58.830944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20908
46.1%
- 6180
 
13.6%
2 4753
 
10.5%
1 4270
 
9.4%
3 2918
 
6.4%
4 2659
 
5.9%
9 939
 
2.1%
7 776
 
1.7%
6 706
 
1.6%
5 650
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39140
86.4%
Dash Punctuation 6180
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20908
53.4%
2 4753
 
12.1%
1 4270
 
10.9%
3 2918
 
7.5%
4 2659
 
6.8%
9 939
 
2.4%
7 776
 
2.0%
6 706
 
1.8%
5 650
 
1.7%
8 561
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 6180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20908
46.1%
- 6180
 
13.6%
2 4753
 
10.5%
1 4270
 
9.4%
3 2918
 
6.4%
4 2659
 
5.9%
9 939
 
2.1%
7 776
 
1.7%
6 706
 
1.6%
5 650
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20908
46.1%
- 6180
 
13.6%
2 4753
 
10.5%
1 4270
 
9.4%
3 2918
 
6.4%
4 2659
 
5.9%
9 939
 
2.1%
7 776
 
1.7%
6 706
 
1.6%
5 650
 
1.4%

인허가일자
Real number (ℝ)

Distinct1538
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20005347
Minimum19660415
Maximum20200324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:57:59.073879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19660415
5-th percentile19831220
Q120000384
median20020306
Q320040318
95-th percentile20140425
Maximum20200324
Range539909
Interquartile range (IQR)39934.5

Descriptive statistics

Standard deviation87091.609
Coefficient of variation (CV)0.0043534166
Kurtosis0.9061864
Mean20005347
Median Absolute Deviation (MAD)19989
Skewness-0.79677318
Sum4.1211014 × 1010
Variance7.5849483 × 109
MonotonicityNot monotonic
2023-12-11T03:57:59.309750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990903 5
 
0.2%
20010611 5
 
0.2%
20020925 5
 
0.2%
19891226 5
 
0.2%
20020726 5
 
0.2%
20040421 5
 
0.2%
20001227 4
 
0.2%
20011011 4
 
0.2%
20000928 4
 
0.2%
20020128 4
 
0.2%
Other values (1528) 2014
97.8%
ValueCountFrequency (%)
19660415 1
< 0.1%
19670605 1
< 0.1%
19670811 1
< 0.1%
19690630 1
< 0.1%
19710628 1
< 0.1%
19710709 1
< 0.1%
19730402 1
< 0.1%
19731113 1
< 0.1%
19740112 1
< 0.1%
19740221 1
< 0.1%
ValueCountFrequency (%)
20200324 1
< 0.1%
20200311 1
< 0.1%
20191230 1
< 0.1%
20191211 1
< 0.1%
20191111 1
< 0.1%
20191010 1
< 0.1%
20190930 1
< 0.1%
20190925 1
< 0.1%
20190829 1
< 0.1%
20190812 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
1
1333 
3
727 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1333
64.7%
3 727
35.3%

Length

2023-12-11T03:57:59.538375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:57:59.699258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1333
64.7%
3 727
35.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
영업/정상
1333 
폐업
727 

Length

Max length5
Median length5
Mean length3.9412621
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1333
64.7%
폐업 727
35.3%

Length

2023-12-11T03:57:59.873159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:00.070732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1333
64.7%
폐업 727
35.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
1
1333 
2
727 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1333
64.7%
2 727
35.3%

Length

2023-12-11T03:58:00.219782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:00.397574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1333
64.7%
2 727
35.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
영업
1333 
폐업
727 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 1333
64.7%
폐업 727
35.3%

Length

2023-12-11T03:58:00.554879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:00.695381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 1333
64.7%
폐업 727
35.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct634
Distinct (%)87.2%
Missing1333
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean20098162
Minimum19960113
Maximum20200422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:00.922766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960113
5-th percentile20030425
Q120050413
median20080526
Q320150610
95-th percentile20191113
Maximum20200422
Range240309
Interquartile range (IQR)100196.5

Descriptive statistics

Standard deviation57348.597
Coefficient of variation (CV)0.002853425
Kurtosis-1.2091666
Mean20098162
Median Absolute Deviation (MAD)39924
Skewness0.40829367
Sum1.4611364 × 1010
Variance3.2888616 × 109
MonotonicityNot monotonic
2023-12-11T03:58:01.235084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110315 3
 
0.1%
20110207 3
 
0.1%
20071224 3
 
0.1%
20061127 3
 
0.1%
20050518 3
 
0.1%
20200114 3
 
0.1%
20050516 3
 
0.1%
20041207 3
 
0.1%
20191216 3
 
0.1%
20070404 3
 
0.1%
Other values (624) 697
33.8%
(Missing) 1333
64.7%
ValueCountFrequency (%)
19960113 1
< 0.1%
20001125 1
< 0.1%
20010704 1
< 0.1%
20011114 1
< 0.1%
20020117 1
< 0.1%
20020122 1
< 0.1%
20020123 1
< 0.1%
20020208 1
< 0.1%
20020218 1
< 0.1%
20020219 1
< 0.1%
ValueCountFrequency (%)
20200422 1
< 0.1%
20200421 1
< 0.1%
20200420 1
< 0.1%
20200331 1
< 0.1%
20200326 1
< 0.1%
20200324 1
< 0.1%
20200323 1
< 0.1%
20200320 1
< 0.1%
20200317 1
< 0.1%
20200226 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

소재지전화
Text

MISSING 

Distinct1799
Distinct (%)98.3%
Missing230
Missing (%)11.2%
Memory size16.2 KiB
2023-12-11T03:58:01.629246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.263934
Min length7

Characters and Unicode

Total characters18783
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

Unique1768 ?
Unique (%)96.6%

Sample

1st row053 422 2679
2nd row053 4229702
3rd row053 2527174
4th row053 2532131
5th row053 4316888
ValueCountFrequency (%)
053 1366
39.2%
763 10
 
0.3%
765 9
 
0.3%
766 8
 
0.2%
586 7
 
0.2%
767 6
 
0.2%
616 6
 
0.2%
582 6
 
0.2%
761 5
 
0.1%
629 5
 
0.1%
Other values (1931) 2056
59.0%
2023-12-11T03:58:02.254156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3372
18.0%
3 2693
14.3%
0 2466
13.1%
1665
8.9%
6 1538
8.2%
7 1457
7.8%
2 1420
7.6%
4 1223
 
6.5%
1 1023
 
5.4%
8 1006
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17118
91.1%
Space Separator 1665
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3372
19.7%
3 2693
15.7%
0 2466
14.4%
6 1538
9.0%
7 1457
8.5%
2 1420
8.3%
4 1223
 
7.1%
1 1023
 
6.0%
8 1006
 
5.9%
9 920
 
5.4%
Space Separator
ValueCountFrequency (%)
1665
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18783
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3372
18.0%
3 2693
14.3%
0 2466
13.1%
1665
8.9%
6 1538
8.2%
7 1457
7.8%
2 1420
7.6%
4 1223
 
6.5%
1 1023
 
5.4%
8 1006
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18783
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3372
18.0%
3 2693
14.3%
0 2466
13.1%
1665
8.9%
6 1538
8.2%
7 1457
7.8%
2 1420
7.6%
4 1223
 
6.5%
1 1023
 
5.4%
8 1006
 
5.4%
Distinct1933
Distinct (%)94.3%
Missing10
Missing (%)0.5%
Memory size16.2 KiB
2023-12-11T03:58:02.749785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.6317073
Min length4

Characters and Unicode

Total characters11545
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

Unique1831 ?
Unique (%)89.3%

Sample

1st row98.55
2nd row93.18
3rd row117.80
4th row178.66
5th row77.86
ValueCountFrequency (%)
220.00 5
 
0.2%
126.00 4
 
0.2%
192.66 4
 
0.2%
138.34 3
 
0.1%
87.10 3
 
0.1%
97.80 3
 
0.1%
109.00 3
 
0.1%
70.30 3
 
0.1%
79.44 3
 
0.1%
151.22 3
 
0.1%
Other values (1923) 2016
98.3%
2023-12-11T03:58:03.548693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2050
17.8%
1 1422
12.3%
2 1168
10.1%
0 1067
9.2%
6 864
7.5%
8 844
7.3%
3 842
7.3%
9 831
7.2%
7 822
7.1%
5 817
 
7.1%
Other values (2) 818
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9474
82.1%
Other Punctuation 2071
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1422
15.0%
2 1168
12.3%
0 1067
11.3%
6 864
9.1%
8 844
8.9%
3 842
8.9%
9 831
8.8%
7 822
8.7%
5 817
8.6%
4 797
8.4%
Other Punctuation
ValueCountFrequency (%)
. 2050
99.0%
, 21
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11545
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2050
17.8%
1 1422
12.3%
2 1168
10.1%
0 1067
9.2%
6 864
7.5%
8 844
7.3%
3 842
7.3%
9 831
7.2%
7 822
7.1%
5 817
 
7.1%
Other values (2) 818
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11545
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2050
17.8%
1 1422
12.3%
2 1168
10.1%
0 1067
9.2%
6 864
7.5%
8 844
7.3%
3 842
7.3%
9 831
7.2%
7 822
7.1%
5 817
 
7.1%
Other values (2) 818
 
7.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct268
Distinct (%)13.2%
Missing30
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean704033.14
Minimum700010
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:03.862326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700411
Q1702040
median703851
Q3705810
95-th percentile706853
Maximum711874
Range11864
Interquartile range (IQR)3770

Descriptive statistics

Standard deviation2270.1457
Coefficient of variation (CV)0.0032244869
Kurtosis0.85249012
Mean704033.14
Median Absolute Deviation (MAD)1951
Skewness0.50294793
Sum1.4291873 × 109
Variance5153561.4
MonotonicityNot monotonic
2023-12-11T03:58:04.251120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706853 91
 
4.4%
701827 82
 
4.0%
706800 78
 
3.8%
704940 70
 
3.4%
702831 52
 
2.5%
703851 49
 
2.4%
704948 46
 
2.2%
700411 45
 
2.2%
702040 44
 
2.1%
701829 40
 
1.9%
Other values (258) 1433
69.6%
ValueCountFrequency (%)
700010 4
0.2%
700020 4
0.2%
700030 1
 
< 0.1%
700040 3
0.1%
700050 3
0.1%
700060 5
0.2%
700070 5
0.2%
700081 1
 
< 0.1%
700082 1
 
< 0.1%
700091 1
 
< 0.1%
ValueCountFrequency (%)
711874 6
 
0.3%
711873 5
 
0.2%
711872 8
 
0.4%
711851 1
 
< 0.1%
711837 1
 
< 0.1%
711835 13
 
0.6%
711834 2
 
0.1%
711833 1
 
< 0.1%
706949 1
 
< 0.1%
706853 91
4.4%
Distinct1778
Distinct (%)86.4%
Missing3
Missing (%)0.1%
Memory size16.2 KiB
2023-12-11T03:58:04.783644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length24.674769
Min length18

Characters and Unicode

Total characters50756
Distinct characters152
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1559 ?
Unique (%)75.8%

Sample

1st row대구광역시 중구 종로1가 0102-0001번지
2nd row대구광역시 중구 태평로1가 0017-0001번지
3rd row대구광역시 중구 수동 0083-0001번지
4th row대구광역시 중구 삼덕동1가 0028-0007번지
5th row대구광역시 중구 삼덕동2가 0130번지
ValueCountFrequency (%)
대구광역시 2057
23.1%
달서구 439
 
4.9%
수성구 356
 
4.0%
동구 294
 
3.3%
북구 289
 
3.2%
서구 262
 
2.9%
중구 193
 
2.2%
신천동 171
 
1.9%
남구 160
 
1.8%
대명동 112
 
1.3%
Other values (1873) 4561
51.3%
2023-12-11T03:58:05.956610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8888
17.5%
4069
 
8.0%
0 2620
 
5.2%
2470
 
4.9%
1 2359
 
4.6%
2335
 
4.6%
2305
 
4.5%
2063
 
4.1%
2060
 
4.1%
2058
 
4.1%
Other values (142) 19529
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27271
53.7%
Decimal Number 11798
23.2%
Space Separator 8888
 
17.5%
Dash Punctuation 1921
 
3.8%
Open Punctuation 331
 
0.7%
Close Punctuation 328
 
0.6%
Other Punctuation 212
 
0.4%
Uppercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4069
14.9%
2470
 
9.1%
2335
 
8.6%
2305
 
8.5%
2063
 
7.6%
2060
 
7.6%
2058
 
7.5%
2057
 
7.5%
710
 
2.6%
529
 
1.9%
Other values (123) 6615
24.3%
Decimal Number
ValueCountFrequency (%)
0 2620
22.2%
1 2359
20.0%
2 1549
13.1%
3 1194
10.1%
4 831
 
7.0%
5 742
 
6.3%
8 656
 
5.6%
6 656
 
5.6%
7 614
 
5.2%
9 577
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 2
28.6%
M 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 193
91.0%
. 19
 
9.0%
Space Separator
ValueCountFrequency (%)
8888
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1921
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27271
53.7%
Common 23478
46.3%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4069
14.9%
2470
 
9.1%
2335
 
8.6%
2305
 
8.5%
2063
 
7.6%
2060
 
7.6%
2058
 
7.5%
2057
 
7.5%
710
 
2.6%
529
 
1.9%
Other values (123) 6615
24.3%
Common
ValueCountFrequency (%)
8888
37.9%
0 2620
 
11.2%
1 2359
 
10.0%
- 1921
 
8.2%
2 1549
 
6.6%
3 1194
 
5.1%
4 831
 
3.5%
5 742
 
3.2%
8 656
 
2.8%
6 656
 
2.8%
Other values (6) 2062
 
8.8%
Latin
ValueCountFrequency (%)
B 4
57.1%
A 2
28.6%
M 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27271
53.7%
ASCII 23485
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8888
37.8%
0 2620
 
11.2%
1 2359
 
10.0%
- 1921
 
8.2%
2 1549
 
6.6%
3 1194
 
5.1%
4 831
 
3.5%
5 742
 
3.2%
8 656
 
2.8%
6 656
 
2.8%
Other values (9) 2069
 
8.8%
Hangul
ValueCountFrequency (%)
4069
14.9%
2470
 
9.1%
2335
 
8.6%
2305
 
8.5%
2063
 
7.6%
2060
 
7.6%
2058
 
7.5%
2057
 
7.5%
710
 
2.6%
529
 
1.9%
Other values (123) 6615
24.3%

도로명전체주소
Text

MISSING 

Distinct1453
Distinct (%)91.2%
Missing467
Missing (%)22.7%
Memory size16.2 KiB
2023-12-11T03:58:06.620967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length26.183302
Min length20

Characters and Unicode

Total characters41710
Distinct characters189
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

Unique1340 ?
Unique (%)84.1%

Sample

1st row대구광역시 중구 종로 45-1, 2층 (종로1가)
2nd row대구광역시 중구 태평로 194 (태평로1가)
3rd row대구광역시 중구 약령길 60 (수동)
4th row대구광역시 중구 동성로4길 37 (삼덕동1가)
5th row대구광역시 중구 공평로8길 26 (삼덕동2가)
ValueCountFrequency (%)
대구광역시 1593
 
19.0%
달서구 364
 
4.3%
동구 251
 
3.0%
수성구 248
 
3.0%
북구 238
 
2.8%
서구 189
 
2.3%
신천동 130
 
1.6%
중구 123
 
1.5%
남구 120
 
1.4%
지하1층 119
 
1.4%
Other values (1134) 5008
59.7%
2023-12-11T03:58:07.725163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6791
 
16.3%
3458
 
8.3%
2207
 
5.3%
2204
 
5.3%
( 1730
 
4.1%
) 1730
 
4.1%
1605
 
3.8%
1600
 
3.8%
1594
 
3.8%
1593
 
3.8%
Other values (179) 17198
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24444
58.6%
Space Separator 6791
 
16.3%
Decimal Number 6113
 
14.7%
Open Punctuation 1730
 
4.1%
Close Punctuation 1730
 
4.1%
Other Punctuation 593
 
1.4%
Dash Punctuation 300
 
0.7%
Uppercase Letter 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3458
14.1%
2207
 
9.0%
2204
 
9.0%
1605
 
6.6%
1600
 
6.5%
1594
 
6.5%
1593
 
6.5%
785
 
3.2%
606
 
2.5%
558
 
2.3%
Other values (160) 8234
33.7%
Decimal Number
ValueCountFrequency (%)
1 1487
24.3%
2 1226
20.1%
3 628
10.3%
5 549
 
9.0%
4 461
 
7.5%
6 413
 
6.8%
0 375
 
6.1%
8 367
 
6.0%
7 306
 
5.0%
9 301
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 581
98.0%
. 12
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 3
42.9%
Space Separator
ValueCountFrequency (%)
6791
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 300
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24444
58.6%
Common 17259
41.4%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3458
14.1%
2207
 
9.0%
2204
 
9.0%
1605
 
6.6%
1600
 
6.5%
1594
 
6.5%
1593
 
6.5%
785
 
3.2%
606
 
2.5%
558
 
2.3%
Other values (160) 8234
33.7%
Common
ValueCountFrequency (%)
6791
39.3%
( 1730
 
10.0%
) 1730
 
10.0%
1 1487
 
8.6%
2 1226
 
7.1%
3 628
 
3.6%
, 581
 
3.4%
5 549
 
3.2%
4 461
 
2.7%
6 413
 
2.4%
Other values (7) 1663
 
9.6%
Latin
ValueCountFrequency (%)
B 4
57.1%
A 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24444
58.6%
ASCII 17266
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6791
39.3%
( 1730
 
10.0%
) 1730
 
10.0%
1 1487
 
8.6%
2 1226
 
7.1%
3 628
 
3.6%
, 581
 
3.4%
5 549
 
3.2%
4 461
 
2.7%
6 413
 
2.4%
Other values (9) 1670
 
9.7%
Hangul
ValueCountFrequency (%)
3458
14.1%
2207
 
9.0%
2204
 
9.0%
1605
 
6.6%
1600
 
6.5%
1594
 
6.5%
1593
 
6.5%
785
 
3.2%
606
 
2.5%
558
 
2.3%
Other values (160) 8234
33.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct317
Distinct (%)20.5%
Missing515
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean42036.511
Minimum41007
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:08.103197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41218
Q141564
median42013
Q342612
95-th percentile42814
Maximum43018
Range2011
Interquartile range (IQR)1048

Descriptive statistics

Standard deviation547.257
Coefficient of variation (CV)0.013018611
Kurtosis-1.1990879
Mean42036.511
Median Absolute Deviation (MAD)457
Skewness0.0018399168
Sum64946410
Variance299490.23
MonotonicityNot monotonic
2023-12-11T03:58:08.357270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42149 86
 
4.2%
42612 60
 
2.9%
41562 48
 
2.3%
42713 42
 
2.0%
42714 33
 
1.6%
41251 33
 
1.6%
41423 31
 
1.5%
41942 28
 
1.4%
41249 28
 
1.4%
42814 20
 
1.0%
Other values (307) 1136
55.1%
(Missing) 515
25.0%
ValueCountFrequency (%)
41007 1
 
< 0.1%
41026 1
 
< 0.1%
41034 2
0.1%
41036 1
 
< 0.1%
41047 3
0.1%
41065 4
0.2%
41069 2
0.1%
41110 4
0.2%
41111 3
0.1%
41114 2
0.1%
ValueCountFrequency (%)
43018 12
0.6%
43017 14
0.7%
43005 2
 
0.1%
43003 2
 
0.1%
43000 4
 
0.2%
42999 7
0.3%
42974 1
 
< 0.1%
42964 1
 
< 0.1%
42954 1
 
< 0.1%
42947 13
0.6%
Distinct1649
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2023-12-11T03:58:08.920755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length4.3131068
Min length1

Characters and Unicode

Total characters8885
Distinct characters584
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1423 ?
Unique (%)69.1%

Sample

1st row아우디노래방
2nd row큐브
3rd row나도향
4th row브리드(BREED)
5th row카카오
ValueCountFrequency (%)
토마토 13
 
0.6%
가요주점 13
 
0.6%
황진이 10
 
0.5%
주점 10
 
0.5%
제우스가요주점 8
 
0.4%
캐슬 7
 
0.3%
세븐 7
 
0.3%
7
 
0.3%
7
 
0.3%
에쿠스 7
 
0.3%
Other values (1643) 2040
95.8%
2023-12-11T03:58:09.826756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
706
 
7.9%
687
 
7.7%
321
 
3.6%
275
 
3.1%
270
 
3.0%
181
 
2.0%
162
 
1.8%
161
 
1.8%
129
 
1.5%
119
 
1.3%
Other values (574) 5874
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8315
93.6%
Uppercase Letter 189
 
2.1%
Close Punctuation 82
 
0.9%
Open Punctuation 82
 
0.9%
Space Separator 70
 
0.8%
Decimal Number 66
 
0.7%
Lowercase Letter 63
 
0.7%
Other Punctuation 17
 
0.2%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
706
 
8.5%
687
 
8.3%
321
 
3.9%
275
 
3.3%
270
 
3.2%
181
 
2.2%
162
 
1.9%
161
 
1.9%
129
 
1.6%
119
 
1.4%
Other values (512) 5304
63.8%
Uppercase Letter
ValueCountFrequency (%)
S 25
13.2%
B 19
 
10.1%
M 15
 
7.9%
O 13
 
6.9%
L 12
 
6.3%
A 11
 
5.8%
I 9
 
4.8%
U 8
 
4.2%
K 8
 
4.2%
N 7
 
3.7%
Other values (16) 62
32.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
17.5%
s 9
14.3%
o 9
14.3%
n 6
9.5%
t 4
 
6.3%
m 3
 
4.8%
i 3
 
4.8%
r 3
 
4.8%
f 2
 
3.2%
u 2
 
3.2%
Other values (10) 11
17.5%
Decimal Number
ValueCountFrequency (%)
2 26
39.4%
1 11
16.7%
3 7
 
10.6%
0 6
 
9.1%
7 6
 
9.1%
5 4
 
6.1%
8 3
 
4.5%
9 2
 
3.0%
4 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 12
70.6%
& 4
 
23.5%
, 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8315
93.6%
Common 318
 
3.6%
Latin 252
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
706
 
8.5%
687
 
8.3%
321
 
3.9%
275
 
3.3%
270
 
3.2%
181
 
2.2%
162
 
1.9%
161
 
1.9%
129
 
1.6%
119
 
1.4%
Other values (512) 5304
63.8%
Latin
ValueCountFrequency (%)
S 25
 
9.9%
B 19
 
7.5%
M 15
 
6.0%
O 13
 
5.2%
L 12
 
4.8%
e 11
 
4.4%
A 11
 
4.4%
s 9
 
3.6%
o 9
 
3.6%
I 9
 
3.6%
Other values (36) 119
47.2%
Common
ValueCountFrequency (%)
) 82
25.8%
( 82
25.8%
70
22.0%
2 26
 
8.2%
. 12
 
3.8%
1 11
 
3.5%
3 7
 
2.2%
0 6
 
1.9%
7 6
 
1.9%
5 4
 
1.3%
Other values (6) 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8315
93.6%
ASCII 569
 
6.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
706
 
8.5%
687
 
8.3%
321
 
3.9%
275
 
3.3%
270
 
3.2%
181
 
2.2%
162
 
1.9%
161
 
1.9%
129
 
1.6%
119
 
1.4%
Other values (512) 5304
63.8%
ASCII
ValueCountFrequency (%)
) 82
 
14.4%
( 82
 
14.4%
70
 
12.3%
2 26
 
4.6%
S 25
 
4.4%
B 19
 
3.3%
M 15
 
2.6%
O 13
 
2.3%
L 12
 
2.1%
. 12
 
2.1%
Other values (51) 213
37.4%
None
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct1914
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0143263 × 1013
Minimum2.0010809 × 1013
Maximum2.020043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:10.107312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010809 × 1013
5-th percentile2.0021115 × 1013
Q12.0117882 × 1013
median2.0170706 × 1013
Q32.0190826 × 1013
95-th percentile2.020041 × 1013
Maximum2.020043 × 1013
Range1.8962112 × 1011
Interquartile range (IQR)7.2943958 × 1010

Descriptive statistics

Standard deviation6.0296382 × 1010
Coefficient of variation (CV)0.0029933771
Kurtosis-0.59059168
Mean2.0143263 × 1013
Median Absolute Deviation (MAD)2.9610519 × 1010
Skewness-0.9301007
Sum4.1495122 × 1016
Variance3.6356537 × 1021
MonotonicityNot monotonic
2023-12-11T03:58:10.335224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031215000000 25
 
1.2%
20050308000000 13
 
0.6%
20020914000000 10
 
0.5%
20021114000000 7
 
0.3%
20020916000000 7
 
0.3%
20041116000000 6
 
0.3%
20040823000000 6
 
0.3%
20030123000000 4
 
0.2%
20041101000000 4
 
0.2%
20021018000000 4
 
0.2%
Other values (1904) 1974
95.8%
ValueCountFrequency (%)
20010809000000 3
0.1%
20011114000000 2
0.1%
20011115000000 2
0.1%
20011214000000 2
0.1%
20011217000000 2
0.1%
20011218000000 2
0.1%
20011221000000 1
 
< 0.1%
20020104000000 2
0.1%
20020208000000 1
 
< 0.1%
20020214000000 3
0.1%
ValueCountFrequency (%)
20200430122831 1
< 0.1%
20200429171311 1
< 0.1%
20200429141527 1
< 0.1%
20200429141436 1
< 0.1%
20200429140733 1
< 0.1%
20200429140712 1
< 0.1%
20200429140613 1
< 0.1%
20200429113842 1
< 0.1%
20200429113057 1
< 0.1%
20200428154301 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
I
1282 
U
778 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1282
62.2%
U 778
37.8%

Length

2023-12-11T03:58:10.546831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:10.711862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1282
62.2%
u 778
37.8%
Distinct303
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-05-02 02:40:00
2023-12-11T03:58:10.875681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:58:11.086039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
룸살롱
1186 
간이주점
383 
카바레
258 
기타
 
115
고고(디스코)클럽
 
40
Other values (7)
 
78

Length

Max length12
Median length3
Mean length3.3679612
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row룸살롱
2nd row룸살롱
3rd row룸살롱
4th row고고(디스코)클럽
5th row룸살롱

Common Values

ValueCountFrequency (%)
룸살롱 1186
57.6%
간이주점 383
 
18.6%
카바레 258
 
12.5%
기타 115
 
5.6%
고고(디스코)클럽 40
 
1.9%
노래클럽 23
 
1.1%
요정 17
 
0.8%
관광호텔나이트(디스코) 14
 
0.7%
비어(바)살롱 10
 
0.5%
관광호텔나이트(카바레) 8
 
0.4%
Other values (2) 6
 
0.3%

Length

2023-12-11T03:58:11.269616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
룸살롱 1186
57.6%
간이주점 383
 
18.6%
카바레 258
 
12.5%
기타 115
 
5.6%
고고(디스코)클럽 40
 
1.9%
노래클럽 23
 
1.1%
요정 17
 
0.8%
관광호텔나이트(디스코 14
 
0.7%
비어(바)살롱 10
 
0.5%
관광호텔나이트(카바레 8
 
0.4%
Other values (2) 6
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1508
Distinct (%)76.1%
Missing79
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean342786.25
Minimum328569
Maximum356351.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:11.410550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328569
5-th percentile334603.5
Q1340411.26
median343570.2
Q3346474.14
95-th percentile347524.06
Maximum356351.62
Range27782.617
Interquartile range (IQR)6062.8812

Descriptive statistics

Standard deviation4286.8382
Coefficient of variation (CV)0.012505864
Kurtosis0.34005683
Mean342786.25
Median Absolute Deviation (MAD)3016.4048
Skewness-0.44923553
Sum6.7905956 × 108
Variance18376981
MonotonicityNot monotonic
2023-12-11T03:58:11.573076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335948.027345 7
 
0.3%
341709.814886 7
 
0.3%
335840.964074 7
 
0.3%
346562.002685 6
 
0.3%
334613.807832 6
 
0.3%
346622.902416 6
 
0.3%
339638.747277 6
 
0.3%
339770.420632 5
 
0.2%
335894.398545 5
 
0.2%
341891.168922 5
 
0.2%
Other values (1498) 1921
93.3%
(Missing) 79
 
3.8%
ValueCountFrequency (%)
328569.0 1
< 0.1%
330246.827606 1
< 0.1%
330306.750006 1
< 0.1%
330342.686681 1
< 0.1%
330377.019726 1
< 0.1%
330388.817428 1
< 0.1%
330431.969135 2
0.1%
330443.872905 1
< 0.1%
330459.609181 1
< 0.1%
330466.993367 1
< 0.1%
ValueCountFrequency (%)
356351.617491 1
< 0.1%
356277.358391 1
< 0.1%
354687.818071 1
< 0.1%
354660.340427 1
< 0.1%
354646.872205 1
< 0.1%
354611.865233 1
< 0.1%
354589.775419 1
< 0.1%
354557.007403 1
< 0.1%
354336.413618 2
0.1%
354305.111529 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1508
Distinct (%)76.1%
Missing79
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean263261.66
Minimum244316.31
Maximum278080.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:11.737192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244316.31
5-th percentile258077.99
Q1261293.67
median263534.75
Q3265172.4
95-th percentile268370.91
Maximum278080.76
Range33764.453
Interquartile range (IQR)3878.7317

Descriptive statistics

Standard deviation3962.4657
Coefficient of variation (CV)0.015051435
Kurtosis8.3370612
Mean263261.66
Median Absolute Deviation (MAD)2165.9663
Skewness-1.6877696
Sum5.2152134 × 108
Variance15701134
MonotonicityNot monotonic
2023-12-11T03:58:11.898849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262606.233123 7
 
0.3%
262530.582893 7
 
0.3%
262120.008216 7
 
0.3%
258034.934254 6
 
0.3%
261350.23474 6
 
0.3%
261277.78301 6
 
0.3%
261188.560562 6
 
0.3%
261109.671789 5
 
0.2%
244525.0 5
 
0.2%
266454.443484 5
 
0.2%
Other values (1498) 1921
93.3%
(Missing) 79
 
3.8%
ValueCountFrequency (%)
244316.308664 1
 
< 0.1%
244331.0 1
 
< 0.1%
244431.023729 2
 
0.1%
244497.0 1
 
< 0.1%
244503.866744 4
0.2%
244521.950088 2
 
0.1%
244525.0 5
0.2%
244534.0 1
 
< 0.1%
244572.0 1
 
< 0.1%
244584.0 1
 
< 0.1%
ValueCountFrequency (%)
278080.761551 2
0.1%
272641.867971 1
< 0.1%
272633.741088 1
< 0.1%
272615.545288 1
< 0.1%
272609.413405 2
0.1%
272606.034369 1
< 0.1%
272605.871434 2
0.1%
272603.06457 1
< 0.1%
272600.055317 1
< 0.1%
272573.775337 1
< 0.1%

위생업태명
Categorical

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
룸살롱
1186 
간이주점
383 
카바레
258 
기타
 
115
고고(디스코)클럽
 
40
Other values (7)
 
78

Length

Max length12
Median length3
Mean length3.3679612
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row룸살롱
2nd row룸살롱
3rd row룸살롱
4th row고고(디스코)클럽
5th row룸살롱

Common Values

ValueCountFrequency (%)
룸살롱 1186
57.6%
간이주점 383
 
18.6%
카바레 258
 
12.5%
기타 115
 
5.6%
고고(디스코)클럽 40
 
1.9%
노래클럽 23
 
1.1%
요정 17
 
0.8%
관광호텔나이트(디스코) 14
 
0.7%
비어(바)살롱 10
 
0.5%
관광호텔나이트(카바레) 8
 
0.4%
Other values (2) 6
 
0.3%

Length

2023-12-11T03:58:12.092584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
룸살롱 1186
57.6%
간이주점 383
 
18.6%
카바레 258
 
12.5%
기타 115
 
5.6%
고고(디스코)클럽 40
 
1.9%
노래클럽 23
 
1.1%
요정 17
 
0.8%
관광호텔나이트(디스코 14
 
0.7%
비어(바)살롱 10
 
0.5%
관광호텔나이트(카바레 8
 
0.4%
Other values (2) 6
 
0.3%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.8%
Missing633
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean0.27259986
Minimum0
Maximum30
Zeros1221
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:12.216145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2647333
Coefficient of variation (CV)4.6395228
Kurtosis337.67273
Mean0.27259986
Median Absolute Deviation (MAD)0
Skewness15.989776
Sum389
Variance1.5995502
MonotonicityNot monotonic
2023-12-11T03:58:12.351404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1221
59.3%
1 122
 
5.9%
2 58
 
2.8%
3 15
 
0.7%
4 5
 
0.2%
26 1
 
< 0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
30 1
 
< 0.1%
(Missing) 633
30.7%
ValueCountFrequency (%)
0 1221
59.3%
1 122
 
5.9%
2 58
 
2.8%
3 15
 
0.7%
4 5
 
0.2%
5 1
 
< 0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
26 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 5
 
0.2%
3 15
 
0.7%
2 58
2.8%
1 122
5.9%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.7%
Missing632
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean0.31792717
Minimum0
Maximum12
Zeros1225
Zeros (%)59.5%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:12.522741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0244595
Coefficient of variation (CV)3.2223087
Kurtosis44.354923
Mean0.31792717
Median Absolute Deviation (MAD)0
Skewness5.5018772
Sum454
Variance1.0495172
MonotonicityNot monotonic
2023-12-11T03:58:12.705435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1225
59.5%
1 82
 
4.0%
2 59
 
2.9%
3 38
 
1.8%
4 11
 
0.5%
5 4
 
0.2%
6 4
 
0.2%
12 3
 
0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 632
30.7%
ValueCountFrequency (%)
0 1225
59.5%
1 82
 
4.0%
2 59
 
2.9%
3 38
 
1.8%
4 11
 
0.5%
5 4
 
0.2%
6 4
 
0.2%
7 1
 
< 0.1%
9 1
 
< 0.1%
12 3
 
0.1%
ValueCountFrequency (%)
12 3
 
0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
6 4
 
0.2%
5 4
 
0.2%
4 11
 
0.5%
3 38
 
1.8%
2 59
 
2.9%
1 82
 
4.0%
0 1225
59.5%
Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
941 
유흥업소밀집지역
575 
기타
455 
학교정화(상대)
 
45
주택가주변
 
32
Other values (3)
 
12

Length

Max length8
Median length7
Mean length4.7912621
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학교정화(상대)
2nd row기타
3rd row<NA>
4th row유흥업소밀집지역
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 941
45.7%
유흥업소밀집지역 575
27.9%
기타 455
22.1%
학교정화(상대) 45
 
2.2%
주택가주변 32
 
1.6%
결혼예식장주변 5
 
0.2%
아파트지역 5
 
0.2%
학교정화(절대) 2
 
0.1%

Length

2023-12-11T03:58:12.885027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:13.056928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 941
45.7%
유흥업소밀집지역 575
27.9%
기타 455
22.1%
학교정화(상대 45
 
2.2%
주택가주변 32
 
1.6%
결혼예식장주변 5
 
0.2%
아파트지역 5
 
0.2%
학교정화(절대 2
 
0.1%

등급구분명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
1308 
자율
517 
기타
231 
우수
 
2
지도
 
2

Length

Max length4
Median length4
Mean length3.2699029
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1308
63.5%
자율 517
 
25.1%
기타 231
 
11.2%
우수 2
 
0.1%
지도 2
 
0.1%

Length

2023-12-11T03:58:13.242069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:13.400830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1308
63.5%
자율 517
 
25.1%
기타 231
 
11.2%
우수 2
 
0.1%
지도 2
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
상수도전용
1216 
<NA>
841 
상수도(음용)지하수(주방용)겸용
 
2
간이상수도
 
1

Length

Max length17
Median length5
Mean length4.6033981
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 1216
59.0%
<NA> 841
40.8%
상수도(음용)지하수(주방용)겸용 2
 
0.1%
간이상수도 1
 
< 0.1%

Length

2023-12-11T03:58:13.547932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:13.700547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 1216
59.0%
na 841
40.8%
상수도(음용)지하수(주방용)겸용 2
 
0.1%
간이상수도 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
2059 
0
 
1

Length

Max length4
Median length4
Mean length3.9985437
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2059
> 99.9%
0 1
 
< 0.1%

Length

2023-12-11T03:58:13.862867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:13.986610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2059
> 99.9%
0 1
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
2059 
0
 
1

Length

Max length4
Median length4
Mean length3.9985437
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2059
> 99.9%
0 1
 
< 0.1%

Length

2023-12-11T03:58:14.151603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:14.318330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2059
> 99.9%
0 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
2059 
0
 
1

Length

Max length4
Median length4
Mean length3.9985437
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2059
> 99.9%
0 1
 
< 0.1%

Length

2023-12-11T03:58:14.522191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:14.717156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2059
> 99.9%
0 1
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
2059 
0
 
1

Length

Max length4
Median length4
Mean length3.9985437
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2059
> 99.9%
0 1
 
< 0.1%

Length

2023-12-11T03:58:14.926360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:15.090672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2059
> 99.9%
0 1
 
< 0.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
2059 
0
 
1

Length

Max length4
Median length4
Mean length3.9985437
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2059
> 99.9%
0 1
 
< 0.1%

Length

2023-12-11T03:58:15.270082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:15.439085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2059
> 99.9%
0 1
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
<NA>
2059 
0
 
1

Length

Max length4
Median length4
Mean length3.9985437
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2059
> 99.9%
0 1
 
< 0.1%

Length

2023-12-11T03:58:15.613562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:15.786356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2059
> 99.9%
0 1
 
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
False
1177 
True
883 
ValueCountFrequency (%)
False 1177
57.1%
True 883
42.9%
2023-12-11T03:58:15.928589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

Distinct1934
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.4254
Minimum0
Maximum3198.86
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2023-12-11T03:58:16.114069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.0665
Q180.24
median131.745
Q3217.3275
95-th percentile456.8735
Maximum3198.86
Range3198.86
Interquartile range (IQR)137.0875

Descriptive statistics

Standard deviation207.54425
Coefficient of variation (CV)1.1439647
Kurtosis64.051903
Mean181.4254
Median Absolute Deviation (MAD)58.89
Skewness6.268831
Sum373736.33
Variance43074.618
MonotonicityNot monotonic
2023-12-11T03:58:16.744509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
0.5%
220.0 5
 
0.2%
126.0 4
 
0.2%
192.66 4
 
0.2%
138.34 3
 
0.1%
70.3 3
 
0.1%
87.1 3
 
0.1%
97.8 3
 
0.1%
151.22 3
 
0.1%
79.44 3
 
0.1%
Other values (1924) 2019
98.0%
ValueCountFrequency (%)
0.0 10
0.5%
8.77 1
 
< 0.1%
10.64 1
 
< 0.1%
10.8 1
 
< 0.1%
11.16 1
 
< 0.1%
11.44 1
 
< 0.1%
12.48 1
 
< 0.1%
12.6 1
 
< 0.1%
12.66 1
 
< 0.1%
12.88 1
 
< 0.1%
ValueCountFrequency (%)
3198.86 1
< 0.1%
3148.0 1
< 0.1%
2430.07 1
< 0.1%
2318.86 1
< 0.1%
2015.68 1
< 0.1%
1800.4 1
< 0.1%
1753.48 1
< 0.1%
1406.45 1
< 0.1%
1404.62 1
< 0.1%
1385.02 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2060
Missing (%)100.0%
Memory size18.2 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01유흥주점영업07_23_02_P34100003410000-102-2020-0000120200311<NA>1영업/정상1영업<NA><NA><NA><NA><NA>98.55700191대구광역시 중구 종로1가 0102-0001번지대구광역시 중구 종로 45-1, 2층 (종로1가)41934아우디노래방20200406102751U2020-04-08 02:40:00.0룸살롱343636.314687264461.608455룸살롱<NA><NA>학교정화(상대)<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y98.55<NA><NA><NA>
12유흥주점영업07_23_02_P34100003410000-102-2015-0000120150428<NA>1영업/정상1영업<NA><NA><NA><NA><NA>93.18700111대구광역시 중구 태평로1가 0017-0001번지대구광역시 중구 태평로 194 (태평로1가)41910큐브20180305105115I2018-08-31 23:59:59.0룸살롱344321.990447264940.514964룸살롱<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y93.18<NA><NA><NA>
23유흥주점영업07_23_02_P34100003410000-102-2008-0000320080306<NA>1영업/정상1영업<NA><NA><NA><NA>053 422 2679117.80700220대구광역시 중구 수동 0083-0001번지대구광역시 중구 약령길 60 (수동)41934나도향20161108140227I2018-08-31 23:59:59.0룸살롱343484.943282264359.385221룸살롱22<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y117.8<NA><NA><NA>
34유흥주점영업07_23_02_P34100003410000-102-2008-0000420081016<NA>1영업/정상1영업<NA><NA><NA><NA>053 4229702178.66700411대구광역시 중구 삼덕동1가 0028-0007번지대구광역시 중구 동성로4길 37 (삼덕동1가)41942브리드(BREED)20191001115548U2019-10-03 02:40:00.0고고(디스코)클럽344316.677593264099.357101고고(디스코)클럽32유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y178.66<NA><NA><NA>
45유흥주점영업07_23_02_P34100003410000-102-2009-0000220090619<NA>1영업/정상1영업<NA><NA><NA><NA>053 252717477.86700412대구광역시 중구 삼덕동2가 0130번지대구광역시 중구 공평로8길 26 (삼덕동2가)41940카카오20200302141959U2020-03-04 02:40:00.0룸살롱344554.237535264114.006864룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y77.86<NA><NA><NA>
56유흥주점영업07_23_02_P34100003410000-102-2009-0000320091224<NA>1영업/정상1영업<NA><NA><NA><NA>053 253213182.00700411대구광역시 중구 삼덕동1가 0053-0003번지대구광역시 중구 동성로4길 28-8 (삼덕동1가)41942더블유(W)20200228085450U2020-03-01 02:40:00.0룸살롱344351.982672264032.894404룸살롱11유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y82.0<NA><NA><NA>
67유흥주점영업07_23_02_P34100003410000-102-2010-0000320100504<NA>1영업/정상1영업<NA><NA><NA><NA>053 4316888199.14700411대구광역시 중구 삼덕동1가 0022-0028번지대구광역시 중구 동성로5길 63 (삼덕동1가)41941시크릿20200323174019U2020-03-25 02:40:00.0룸살롱344263.329336264211.806501룸살롱31유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y199.14<NA><NA><NA>
78유흥주점영업07_23_02_P34100003410000-102-2013-0000120130719<NA>1영업/정상1영업<NA><NA><NA><NA>053 253 5556463.29700411대구광역시 중구 삼덕동1가 0029-0003번지대구광역시 중구 동성로4길 25, 2,3층 (삼덕동1가)41942헤븐20191028171537U2019-10-30 02:40:00.0고고(디스코)클럽344295.524883264043.486235고고(디스코)클럽32<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y463.29<NA><NA><NA>
89유흥주점영업07_23_02_P34100003410000-102-2013-0000220130910<NA>1영업/정상1영업<NA><NA><NA><NA><NA>379.76700040대구광역시 중구 사일동 0059번지대구광역시 중구 동성로 25 (사일동)41937난장20161108140507I2018-08-31 23:59:59.0기타343981.615381264421.75276기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y379.76<NA><NA><NA>
910유흥주점영업07_23_02_P34100003410000-102-2016-0000320161220<NA>1영업/정상1영업<NA><NA><NA><NA><NA>58.41700192대구광역시 중구 종로2가 0053-0001번지대구광역시 중구 종로 30-1 (종로2가, 지상2층)41935가인20200121143328U2020-01-23 02:40:00.0기타343710.276623264330.372362기타<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y58.41<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
20502051유흥주점영업07_23_02_P34800003480000-102-2018-0000120180410<NA>1영업/정상1영업<NA><NA><NA><NA><NA>117.70<NA>대구광역시 달성군 현풍읍 중리 496번지 505호대구광역시 달성군 현풍읍 테크노상업로2길 19, 미소빌딩 5층 505호430175C5유흥주점20190610153133U2019-06-12 02:40:00.0노래클럽331573.593764244503.866744노래클럽<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y117.7<NA><NA><NA>
20512052유흥주점영업07_23_02_P34800003480000-102-2002-0000120020105<NA>1영업/정상1영업<NA><NA><NA><NA>053 6362243174.24711835대구광역시 달성군 화원읍 천내리 250번지대구광역시 달성군 화원읍 사문진로 440-142947페스티벌20190802141157U2019-08-04 02:40:00.0룸살롱335214.938039256991.918674룸살롱00유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y174.24<NA><NA><NA>
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20532054유흥주점영업07_23_02_P34800003480000-102-2019-0000220190521<NA>1영업/정상1영업<NA><NA><NA><NA><NA>103.90<NA>대구광역시 달성군 유가읍 봉리 612-301번지대구광역시 달성군 유가읍 테크노상업로4길 18-12, 만세타운 3층 301호43018MIDAS 마이더스20190522164649I2019-05-23 02:21:15.0룸살롱<NA><NA>룸살롱<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y103.9<NA><NA><NA>
20542055유흥주점영업07_23_02_P34800003480000-102-2019-0000420190619<NA>1영업/정상1영업<NA><NA><NA><NA><NA>242.74<NA>대구광역시 달성군 현풍읍 중리 496번지대구광역시 달성군 현풍읍 테크노상업로2길 19, 6층 604,605호43017준코뮤직타운 현풍1호점20190619103801I2019-06-21 02:21:17.0노래클럽331696.0244497.0노래클럽<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y242.74<NA><NA><NA>
20552056유흥주점영업07_23_02_P34800003480000-102-2019-0000320190523<NA>1영업/정상1영업<NA><NA><NA><NA><NA>113.40<NA>대구광역시 달성군 유가읍 봉리 613번지 505호대구광역시 달성군 유가읍 테크노공원로 51, 5층 505호43018닉스20190523181538I2019-05-25 02:20:54.0룸살롱331966.0244525.0룸살롱<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y113.4<NA><NA><NA>
20562057유흥주점영업07_23_02_P34800003480000-102-2018-0000420181226<NA>1영업/정상1영업<NA><NA><NA><NA><NA>178.75<NA>대구광역시 달성군 유가읍 봉리 614번지 302호대구광역시 달성군 유가읍 테크노공원로 59, 3층 302호43018홀인원20181226151530I2018-12-28 02:20:30.0룸살롱<NA><NA>룸살롱<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y178.75<NA><NA><NA>
20572058유흥주점영업07_23_02_P34800003480000-102-2018-0000520181226<NA>1영업/정상1영업<NA><NA><NA><NA><NA>96.79<NA>대구광역시 달성군 유가읍 봉리 614번지 301호대구광역시 달성군 유가읍 테크노공원로 59, 3층 301호43018네이버20181226152816I2018-12-28 02:20:30.0룸살롱<NA><NA>룸살롱<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y96.79<NA><NA><NA>
20582059유흥주점영업07_23_02_P34800003480000-102-2006-0000320061226<NA>1영업/정상1영업<NA><NA><NA><NA>053 6423554111.53711835대구광역시 달성군 화원읍 천내리 264번지대구광역시 달성군 화원읍 비슬로511길 24-642947캐슬유흥주점20160114165444I2018-08-31 23:59:59.0룸살롱335191.673553256980.574511룸살롱00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y111.53<NA><NA><NA>
20592060유흥주점영업07_23_02_P34800003480000-102-1985-0000119850702<NA>3폐업2폐업20050909<NA><NA><NA>053 614216472.80711874대구광역시 달성군 현풍면 하리 119-2번지<NA><NA>카네기회관20010809000000I2018-08-31 23:59:59.0룸살롱330598.222532244855.010044룸살롱00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N72.8<NA><NA><NA>