Overview

Dataset statistics

Number of variables47
Number of observations2988
Missing cells30790
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory405.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년08월_6270000_대구광역시_07_22_18_P_제과점영업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094290&dataSetDetailId=DDI_0000094307&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 is highly imbalanced (99.2%)Imbalance
위생업태명 is highly imbalanced (99.2%)Imbalance
급수시설구분명 is highly imbalanced (60.0%)Imbalance
다중이용업소여부 is highly imbalanced (89.5%)Imbalance
인허가취소일자 has 2988 (100.0%) missing valuesMissing
폐업일자 has 979 (32.8%) missing valuesMissing
휴업시작일자 has 2988 (100.0%) missing valuesMissing
휴업종료일자 has 2988 (100.0%) missing valuesMissing
재개업일자 has 2988 (100.0%) missing valuesMissing
소재지전화 has 1263 (42.3%) missing valuesMissing
소재지면적 has 104 (3.5%) missing valuesMissing
소재지우편번호 has 33 (1.1%) missing valuesMissing
도로명전체주소 has 830 (27.8%) missing valuesMissing
도로명우편번호 has 848 (28.4%) missing valuesMissing
좌표정보(X) has 81 (2.7%) missing valuesMissing
좌표정보(Y) has 81 (2.7%) missing valuesMissing
남성종사자수 has 1373 (46.0%) missing valuesMissing
여성종사자수 has 1294 (43.3%) missing valuesMissing
건물소유구분명 has 2988 (100.0%) missing valuesMissing
전통업소지정번호 has 2988 (100.0%) missing valuesMissing
전통업소주된음식 has 2988 (100.0%) missing valuesMissing
홈페이지 has 2988 (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
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 1159 (38.8%) zerosZeros
여성종사자수 has 1116 (37.3%) zerosZeros
시설총규모 has 150 (5.0%) zerosZeros

Reproduction

Analysis started2024-04-20 13:41:03.721752
Analysis finished2024-04-20 13:41:05.973639
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2988
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1494.5
Minimum1
Maximum2988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:06.170439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile150.35
Q1747.75
median1494.5
Q32241.25
95-th percentile2838.65
Maximum2988
Range2987
Interquartile range (IQR)1493.5

Descriptive statistics

Standard deviation862.70563
Coefficient of variation (CV)0.57725368
Kurtosis-1.2
Mean1494.5
Median Absolute Deviation (MAD)747
Skewness0
Sum4465566
Variance744261
MonotonicityStrictly increasing
2024-04-20T22:41:06.645476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1997 1
 
< 0.1%
1988 1
 
< 0.1%
1989 1
 
< 0.1%
1990 1
 
< 0.1%
1991 1
 
< 0.1%
1992 1
 
< 0.1%
1993 1
 
< 0.1%
1994 1
 
< 0.1%
1995 1
 
< 0.1%
Other values (2978) 2978
99.7%
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 (%)
2988 1
< 0.1%
2987 1
< 0.1%
2986 1
< 0.1%
2985 1
< 0.1%
2984 1
< 0.1%
2983 1
< 0.1%
2982 1
< 0.1%
2981 1
< 0.1%
2980 1
< 0.1%
2979 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
제과점영업
2988 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 2988
100.0%

Length

2024-04-20T22:41:06.975931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:07.143136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 2988
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
07_22_18_P
2988 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_18_P
2nd row07_22_18_P
3rd row07_22_18_P
4th row07_22_18_P
5th row07_22_18_P

Common Values

ValueCountFrequency (%)
07_22_18_P 2988
100.0%

Length

2024-04-20T22:41:07.318963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:07.725318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 2988
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447131.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:07.865808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22130.574
Coefficient of variation (CV)0.0064199964
Kurtosis-1.1373002
Mean3447131.9
Median Absolute Deviation (MAD)20000
Skewness-0.38372638
Sum1.030003 × 1010
Variance4.8976232 × 108
MonotonicityIncreasing
2024-04-20T22:41:08.088166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 590
19.7%
3460000 546
18.3%
3450000 532
17.8%
3410000 383
12.8%
3420000 341
11.4%
3430000 208
 
7.0%
3440000 194
 
6.5%
3480000 194
 
6.5%
ValueCountFrequency (%)
3410000 383
12.8%
3420000 341
11.4%
3430000 208
 
7.0%
3440000 194
 
6.5%
3450000 532
17.8%
3460000 546
18.3%
3470000 590
19.7%
3480000 194
 
6.5%
ValueCountFrequency (%)
3480000 194
 
6.5%
3470000 590
19.7%
3460000 546
18.3%
3450000 532
17.8%
3440000 194
 
6.5%
3430000 208
 
7.0%
3420000 341
11.4%
3410000 383
12.8%

관리번호
Text

UNIQUE 

Distinct2988
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2024-04-20T22:41:08.744646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters65736
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

Unique2988 ?
Unique (%)100.0%

Sample

1st row3410000-121-2017-00009
2nd row3410000-121-2017-00010
3rd row3410000-121-2017-00011
4th row3410000-121-2017-00012
5th row3410000-121-2007-00006
ValueCountFrequency (%)
3410000-121-2017-00009 1
 
< 0.1%
3460000-121-2013-00013 1
 
< 0.1%
3460000-121-2011-00011 1
 
< 0.1%
3460000-121-2011-00013 1
 
< 0.1%
3460000-121-2015-00003 1
 
< 0.1%
3460000-121-2011-00004 1
 
< 0.1%
3460000-121-2011-00005 1
 
< 0.1%
3460000-121-2011-00007 1
 
< 0.1%
3460000-121-2011-00008 1
 
< 0.1%
3460000-121-2011-00014 1
 
< 0.1%
Other values (2978) 2978
99.7%
2024-04-20T22:41:09.614440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26461
40.3%
1 9654
 
14.7%
- 8964
 
13.6%
2 7495
 
11.4%
3 3925
 
6.0%
4 3831
 
5.8%
7 1204
 
1.8%
6 1156
 
1.8%
5 1149
 
1.7%
9 1064
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56772
86.4%
Dash Punctuation 8964
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26461
46.6%
1 9654
 
17.0%
2 7495
 
13.2%
3 3925
 
6.9%
4 3831
 
6.7%
7 1204
 
2.1%
6 1156
 
2.0%
5 1149
 
2.0%
9 1064
 
1.9%
8 833
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 8964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65736
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26461
40.3%
1 9654
 
14.7%
- 8964
 
13.6%
2 7495
 
11.4%
3 3925
 
6.0%
4 3831
 
5.8%
7 1204
 
1.8%
6 1156
 
1.8%
5 1149
 
1.7%
9 1064
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26461
40.3%
1 9654
 
14.7%
- 8964
 
13.6%
2 7495
 
11.4%
3 3925
 
6.0%
4 3831
 
5.8%
7 1204
 
1.8%
6 1156
 
1.8%
5 1149
 
1.7%
9 1064
 
1.6%

인허가일자
Real number (ℝ)

Distinct2342
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20097626
Minimum19790328
Maximum20220829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:10.042657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790328
5-th percentile19950322
Q120040903
median20101129
Q320161210
95-th percentile20210909
Maximum20220829
Range430501
Interquartile range (IQR)120306.75

Descriptive statistics

Standard deviation82320.276
Coefficient of variation (CV)0.0040960198
Kurtosis0.23734399
Mean20097626
Median Absolute Deviation (MAD)60092
Skewness-0.66720494
Sum6.0051708 × 1010
Variance6.7766278 × 109
MonotonicityNot monotonic
2024-04-20T22:41:10.496805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19940217 7
 
0.2%
20161206 7
 
0.2%
20110802 6
 
0.2%
20161212 5
 
0.2%
20031117 4
 
0.1%
20100219 4
 
0.1%
20120507 4
 
0.1%
20200625 4
 
0.1%
20010322 4
 
0.1%
20080317 4
 
0.1%
Other values (2332) 2939
98.4%
ValueCountFrequency (%)
19790328 1
< 0.1%
19800612 1
< 0.1%
19801024 1
< 0.1%
19801114 1
< 0.1%
19810114 1
< 0.1%
19810720 1
< 0.1%
19810905 1
< 0.1%
19810914 1
< 0.1%
19811007 1
< 0.1%
19811008 1
< 0.1%
ValueCountFrequency (%)
20220829 1
 
< 0.1%
20220826 1
 
< 0.1%
20220825 3
0.1%
20220824 1
 
< 0.1%
20220823 1
 
< 0.1%
20220822 2
0.1%
20220818 2
0.1%
20220817 1
 
< 0.1%
20220816 1
 
< 0.1%
20220812 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
3
2009 
1
979 

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 2009
67.2%
1 979
32.8%

Length

2024-04-20T22:41:10.909372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:11.215539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2009
67.2%
1 979
32.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
폐업
2009 
영업/정상
979 

Length

Max length5
Median length2
Mean length2.9829317
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2009
67.2%
영업/정상 979
32.8%

Length

2024-04-20T22:41:11.558714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:11.874731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2009
67.2%
영업/정상 979
32.8%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2
2009 
1
979 

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 2009
67.2%
1 979
32.8%

Length

2024-04-20T22:41:12.209043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:12.518022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2009
67.2%
1 979
32.8%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
폐업
2009 
영업
979 

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 2009
67.2%
영업 979
32.8%

Length

2024-04-20T22:41:12.840687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:13.152586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2009
67.2%
영업 979
32.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct1490
Distinct (%)74.2%
Missing979
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean20134888
Minimum20020319
Maximum20220829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:13.493199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020319
5-th percentile20051129
Q120090527
median20140214
Q320180531
95-th percentile20211107
Maximum20220829
Range200510
Interquartile range (IQR)90004

Descriptive statistics

Standard deviation52602.983
Coefficient of variation (CV)0.0026125292
Kurtosis-1.1891355
Mean20134888
Median Absolute Deviation (MAD)41004
Skewness-0.089915895
Sum4.0450991 × 1010
Variance2.7670738 × 109
MonotonicityNot monotonic
2024-04-20T22:41:13.961128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211031 10
 
0.3%
20051111 7
 
0.2%
20180207 7
 
0.2%
20130129 6
 
0.2%
20190108 6
 
0.2%
20220518 5
 
0.2%
20050125 5
 
0.2%
20141231 5
 
0.2%
20220120 5
 
0.2%
20181226 4
 
0.1%
Other values (1480) 1949
65.2%
(Missing) 979
32.8%
ValueCountFrequency (%)
20020319 1
< 0.1%
20020423 1
< 0.1%
20020611 2
0.1%
20020704 1
< 0.1%
20021017 1
< 0.1%
20030228 1
< 0.1%
20030304 2
0.1%
20030408 1
< 0.1%
20030522 1
< 0.1%
20030616 1
< 0.1%
ValueCountFrequency (%)
20220829 1
< 0.1%
20220826 2
0.1%
20220817 1
< 0.1%
20220816 1
< 0.1%
20220811 1
< 0.1%
20220810 1
< 0.1%
20220801 1
< 0.1%
20220728 1
< 0.1%
20220727 1
< 0.1%
20220721 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB

소재지전화
Text

MISSING 

Distinct1614
Distinct (%)93.6%
Missing1263
Missing (%)42.3%
Memory size23.5 KiB
2024-04-20T22:41:15.376157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.729855
Min length3

Characters and Unicode

Total characters18509
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

Unique1531 ?
Unique (%)88.8%

Sample

1st row053 2560359
2nd row005302526001
3rd row053 2560453
4th row053 4310055
5th row053 2573393
ValueCountFrequency (%)
053 1369
36.5%
070 23
 
0.6%
793 11
 
0.3%
741 11
 
0.3%
2452901 10
 
0.3%
311 10
 
0.3%
380 9
 
0.2%
639 9
 
0.2%
794 9
 
0.2%
795 8
 
0.2%
Other values (1722) 2284
60.9%
2024-04-20T22:41:16.793821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2976
16.1%
0 2648
14.3%
3 2607
14.1%
2054
11.1%
2 1485
8.0%
6 1334
7.2%
7 1215
6.6%
4 1142
 
6.2%
1 1102
 
6.0%
8 1033
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16455
88.9%
Space Separator 2054
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2976
18.1%
0 2648
16.1%
3 2607
15.8%
2 1485
9.0%
6 1334
8.1%
7 1215
7.4%
4 1142
 
6.9%
1 1102
 
6.7%
8 1033
 
6.3%
9 913
 
5.5%
Space Separator
ValueCountFrequency (%)
2054
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2976
16.1%
0 2648
14.3%
3 2607
14.1%
2054
11.1%
2 1485
8.0%
6 1334
7.2%
7 1215
6.6%
4 1142
 
6.2%
1 1102
 
6.0%
8 1033
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2976
16.1%
0 2648
14.3%
3 2607
14.1%
2054
11.1%
2 1485
8.0%
6 1334
7.2%
7 1215
6.6%
4 1142
 
6.2%
1 1102
 
6.0%
8 1033
 
5.6%

소재지면적
Text

MISSING 

Distinct1872
Distinct (%)64.9%
Missing104
Missing (%)3.5%
Memory size23.5 KiB
2024-04-20T22:41:18.140673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.9615118
Min length3

Characters and Unicode

Total characters14309
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

Unique1414 ?
Unique (%)49.0%

Sample

1st row2.20
2nd row4.10
3rd row8.90
4th row42.15
5th row198.85
ValueCountFrequency (%)
00 73
 
2.5%
33.00 21
 
0.7%
20.00 17
 
0.6%
36.00 15
 
0.5%
3.30 14
 
0.5%
26.40 14
 
0.5%
30.00 14
 
0.5%
40.00 12
 
0.4%
19.80 11
 
0.4%
10.00 11
 
0.4%
Other values (1862) 2682
93.0%
2024-04-20T22:41:19.783975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2884
20.2%
0 2376
16.6%
2 1433
10.0%
3 1204
8.4%
4 1148
 
8.0%
5 1016
 
7.1%
1 1010
 
7.1%
6 945
 
6.6%
8 829
 
5.8%
7 740
 
5.2%
Other values (2) 724
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11424
79.8%
Other Punctuation 2885
 
20.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2376
20.8%
2 1433
12.5%
3 1204
10.5%
4 1148
10.0%
5 1016
8.9%
1 1010
8.8%
6 945
 
8.3%
8 829
 
7.3%
7 740
 
6.5%
9 723
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 2884
> 99.9%
, 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 14309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2884
20.2%
0 2376
16.6%
2 1433
10.0%
3 1204
8.4%
4 1148
 
8.0%
5 1016
 
7.1%
1 1010
 
7.1%
6 945
 
6.6%
8 829
 
5.8%
7 740
 
5.2%
Other values (2) 724
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2884
20.2%
0 2376
16.6%
2 1433
10.0%
3 1204
8.4%
4 1148
 
8.0%
5 1016
 
7.1%
1 1010
 
7.1%
6 945
 
6.6%
8 829
 
5.8%
7 740
 
5.2%
Other values (2) 724
 
5.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)17.2%
Missing33
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean704224.45
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:20.038069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700093
Q1702040
median704080
Q3705831.5
95-th percentile711812
Maximum711891
Range11881
Interquartile range (IQR)3791.5

Descriptive statistics

Standard deviation2752.3877
Coefficient of variation (CV)0.0039083956
Kurtosis0.93243357
Mean704224.45
Median Absolute Deviation (MAD)1930
Skewness0.82144945
Sum2.0809832 × 109
Variance7575638.2
MonotonicityNot monotonic
2024-04-20T22:41:20.296396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700082 83
 
2.8%
706170 42
 
1.4%
702886 40
 
1.3%
704834 28
 
0.9%
706803 28
 
0.9%
702040 26
 
0.9%
702845 25
 
0.8%
700092 25
 
0.8%
700718 24
 
0.8%
701020 23
 
0.8%
Other values (499) 2611
87.4%
(Missing) 33
 
1.1%
ValueCountFrequency (%)
700010 1
 
< 0.1%
700040 3
 
0.1%
700060 8
 
0.3%
700070 18
 
0.6%
700082 83
2.8%
700092 25
 
0.8%
700093 14
 
0.5%
700100 1
 
< 0.1%
700111 1
 
< 0.1%
700150 15
 
0.5%
ValueCountFrequency (%)
711891 6
 
0.2%
711874 5
 
0.2%
711873 1
 
< 0.1%
711872 1
 
< 0.1%
711864 3
 
0.1%
711863 4
 
0.1%
711862 1
 
< 0.1%
711852 20
0.7%
711845 1
 
< 0.1%
711843 2
 
0.1%
Distinct2665
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2024-04-20T22:41:21.394902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length26.602744
Min length16

Characters and Unicode

Total characters79489
Distinct characters375
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2496 ?
Unique (%)83.5%

Sample

1st row대구광역시 중구 계산동2가 0200번지 현대백화점 식품관
2nd row대구광역시 중구 계산동2가 0200 현대백화점 식품관
3rd row대구광역시 중구 계산동2가 0200번지 현대백화점 식품관
4th row대구광역시 중구 계산동2가 0200번지 현대백화점 식품관
5th row대구광역시 중구 동성로2가 0156-0003번지 지상1,2,3층
ValueCountFrequency (%)
대구광역시 2990
 
20.4%
달서구 590
 
4.0%
수성구 546
 
3.7%
북구 532
 
3.6%
중구 383
 
2.6%
동구 341
 
2.3%
서구 208
 
1.4%
1층 200
 
1.4%
남구 194
 
1.3%
달성군 194
 
1.3%
Other values (3359) 8513
57.9%
2024-04-20T22:41:22.951248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14421
18.1%
5930
 
7.5%
1 4260
 
5.4%
3647
 
4.6%
3504
 
4.4%
0 3253
 
4.1%
3077
 
3.9%
3022
 
3.8%
3003
 
3.8%
2936
 
3.7%
Other values (365) 32436
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44601
56.1%
Decimal Number 17465
 
22.0%
Space Separator 14421
 
18.1%
Dash Punctuation 2198
 
2.8%
Close Punctuation 256
 
0.3%
Open Punctuation 256
 
0.3%
Other Punctuation 146
 
0.2%
Uppercase Letter 129
 
0.2%
Math Symbol 11
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5930
 
13.3%
3647
 
8.2%
3504
 
7.9%
3077
 
6.9%
3022
 
6.8%
3003
 
6.7%
2936
 
6.6%
2244
 
5.0%
1153
 
2.6%
923
 
2.1%
Other values (326) 15162
34.0%
Uppercase Letter
ValueCountFrequency (%)
A 48
37.2%
B 21
16.3%
C 16
 
12.4%
S 7
 
5.4%
K 6
 
4.7%
T 6
 
4.7%
M 6
 
4.7%
D 4
 
3.1%
P 4
 
3.1%
E 2
 
1.6%
Other values (6) 9
 
7.0%
Decimal Number
ValueCountFrequency (%)
1 4260
24.4%
0 3253
18.6%
2 2094
12.0%
3 1467
 
8.4%
5 1254
 
7.2%
4 1227
 
7.0%
6 1099
 
6.3%
8 982
 
5.6%
7 923
 
5.3%
9 906
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 110
75.3%
. 21
 
14.4%
/ 13
 
8.9%
@ 2
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 8
72.7%
+ 2
 
18.2%
1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
83.3%
c 1
 
16.7%
Space Separator
ValueCountFrequency (%)
14421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44601
56.1%
Common 34753
43.7%
Latin 135
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5930
 
13.3%
3647
 
8.2%
3504
 
7.9%
3077
 
6.9%
3022
 
6.8%
3003
 
6.7%
2936
 
6.6%
2244
 
5.0%
1153
 
2.6%
923
 
2.1%
Other values (326) 15162
34.0%
Common
ValueCountFrequency (%)
14421
41.5%
1 4260
 
12.3%
0 3253
 
9.4%
- 2198
 
6.3%
2 2094
 
6.0%
3 1467
 
4.2%
5 1254
 
3.6%
4 1227
 
3.5%
6 1099
 
3.2%
8 982
 
2.8%
Other values (11) 2498
 
7.2%
Latin
ValueCountFrequency (%)
A 48
35.6%
B 21
15.6%
C 16
 
11.9%
S 7
 
5.2%
K 6
 
4.4%
T 6
 
4.4%
M 6
 
4.4%
e 5
 
3.7%
D 4
 
3.0%
P 4
 
3.0%
Other values (8) 12
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44600
56.1%
ASCII 34887
43.9%
Arrows 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14421
41.3%
1 4260
 
12.2%
0 3253
 
9.3%
- 2198
 
6.3%
2 2094
 
6.0%
3 1467
 
4.2%
5 1254
 
3.6%
4 1227
 
3.5%
6 1099
 
3.2%
8 982
 
2.8%
Other values (28) 2632
 
7.5%
Hangul
ValueCountFrequency (%)
5930
 
13.3%
3647
 
8.2%
3504
 
7.9%
3077
 
6.9%
3022
 
6.8%
3003
 
6.7%
2936
 
6.6%
2244
 
5.0%
1153
 
2.6%
923
 
2.1%
Other values (325) 15161
34.0%
Arrows
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct1983
Distinct (%)91.9%
Missing830
Missing (%)27.8%
Memory size23.5 KiB
2024-04-20T22:41:24.486033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length31.666358
Min length20

Characters and Unicode

Total characters68336
Distinct characters401
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

Unique1911 ?
Unique (%)88.6%

Sample

1st row대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)
2nd row대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)
3rd row대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)
4th row대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)
5th row대구광역시 중구 동성로6길 10 (동성로2가)
ValueCountFrequency (%)
대구광역시 2159
 
16.0%
1층 689
 
5.1%
달서구 447
 
3.3%
북구 389
 
2.9%
수성구 368
 
2.7%
중구 298
 
2.2%
동구 256
 
1.9%
달구벌대로 188
 
1.4%
달성군 152
 
1.1%
남구 139
 
1.0%
Other values (2293) 8435
62.4%
2024-04-20T22:41:26.468603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11362
 
16.6%
4660
 
6.8%
1 3363
 
4.9%
3119
 
4.6%
3076
 
4.5%
2253
 
3.3%
2217
 
3.2%
2170
 
3.2%
2146
 
3.1%
( 2144
 
3.1%
Other values (391) 31826
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39438
57.7%
Space Separator 11362
 
16.6%
Decimal Number 10807
 
15.8%
Open Punctuation 2144
 
3.1%
Close Punctuation 2144
 
3.1%
Other Punctuation 2031
 
3.0%
Dash Punctuation 253
 
0.4%
Uppercase Letter 116
 
0.2%
Lowercase Letter 24
 
< 0.1%
Math Symbol 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4660
 
11.8%
3119
 
7.9%
3076
 
7.8%
2253
 
5.7%
2217
 
5.6%
2170
 
5.5%
2146
 
5.4%
1166
 
3.0%
972
 
2.5%
903
 
2.3%
Other values (342) 16756
42.5%
Uppercase Letter
ValueCountFrequency (%)
A 35
30.2%
B 19
16.4%
C 12
 
10.3%
M 8
 
6.9%
S 7
 
6.0%
D 5
 
4.3%
H 5
 
4.3%
K 5
 
4.3%
L 3
 
2.6%
E 3
 
2.6%
Other values (8) 14
 
12.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
33.3%
c 3
 
12.5%
a 3
 
12.5%
i 2
 
8.3%
l 1
 
4.2%
t 1
 
4.2%
r 1
 
4.2%
w 1
 
4.2%
o 1
 
4.2%
m 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 3363
31.1%
2 1497
13.9%
0 1235
 
11.4%
3 977
 
9.0%
4 781
 
7.2%
5 726
 
6.7%
6 646
 
6.0%
7 645
 
6.0%
9 477
 
4.4%
8 460
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2019
99.4%
. 9
 
0.4%
/ 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 14
82.4%
+ 3
 
17.6%
Space Separator
ValueCountFrequency (%)
11362
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39438
57.7%
Common 28758
42.1%
Latin 140
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4660
 
11.8%
3119
 
7.9%
3076
 
7.8%
2253
 
5.7%
2217
 
5.6%
2170
 
5.5%
2146
 
5.4%
1166
 
3.0%
972
 
2.5%
903
 
2.3%
Other values (342) 16756
42.5%
Latin
ValueCountFrequency (%)
A 35
25.0%
B 19
13.6%
C 12
 
8.6%
M 8
 
5.7%
e 8
 
5.7%
S 7
 
5.0%
D 5
 
3.6%
H 5
 
3.6%
K 5
 
3.6%
L 3
 
2.1%
Other values (20) 33
23.6%
Common
ValueCountFrequency (%)
11362
39.5%
1 3363
 
11.7%
( 2144
 
7.5%
) 2144
 
7.5%
, 2019
 
7.0%
2 1497
 
5.2%
0 1235
 
4.3%
3 977
 
3.4%
4 781
 
2.7%
5 726
 
2.5%
Other values (9) 2510
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39438
57.7%
ASCII 28898
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11362
39.3%
1 3363
 
11.6%
( 2144
 
7.4%
) 2144
 
7.4%
, 2019
 
7.0%
2 1497
 
5.2%
0 1235
 
4.3%
3 977
 
3.4%
4 781
 
2.7%
5 726
 
2.5%
Other values (39) 2650
 
9.2%
Hangul
ValueCountFrequency (%)
4660
 
11.8%
3119
 
7.9%
3076
 
7.8%
2253
 
5.7%
2217
 
5.6%
2170
 
5.5%
2146
 
5.4%
1166
 
3.0%
972
 
2.5%
903
 
2.3%
Other values (342) 16756
42.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct774
Distinct (%)36.2%
Missing848
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean42063.384
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:26.890393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41142.2
Q141559
median42017
Q342625.5
95-th percentile42927
Maximum43024
Range2022
Interquartile range (IQR)1066.5

Descriptive statistics

Standard deviation568.93624
Coefficient of variation (CV)0.013525689
Kurtosis-1.1372557
Mean42063.384
Median Absolute Deviation (MAD)498
Skewness-0.047507063
Sum90015642
Variance323688.45
MonotonicityNot monotonic
2024-04-20T22:41:27.354078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41936 84
 
2.8%
41229 46
 
1.5%
41581 22
 
0.7%
41953 21
 
0.7%
41423 18
 
0.6%
41938 17
 
0.6%
41942 16
 
0.5%
41515 14
 
0.5%
41422 13
 
0.4%
42760 13
 
0.4%
Other values (764) 1876
62.8%
(Missing) 848
28.4%
ValueCountFrequency (%)
41002 3
0.1%
41003 2
 
0.1%
41005 3
0.1%
41007 2
 
0.1%
41009 1
 
< 0.1%
41020 1
 
< 0.1%
41026 7
0.2%
41027 1
 
< 0.1%
41029 1
 
< 0.1%
41030 1
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43018 11
0.4%
43017 5
0.2%
43014 5
0.2%
43009 2
 
0.1%
43008 3
 
0.1%
43005 2
 
0.1%
43004 1
 
< 0.1%
43003 3
 
0.1%
42999 1
 
< 0.1%
Distinct2355
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
2024-04-20T22:41:28.441776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length7.4886212
Min length1

Characters and Unicode

Total characters22376
Distinct characters683
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2053 ?
Unique (%)68.7%

Sample

1st row딜리저트
2nd row마듀현대백화점대구점
3rd row슈엣
4th row파티세리몽슈슈 현대백화점대구점
5th row비알코리아(주)던킨도너츠
ValueCountFrequency (%)
파리바게뜨 81
 
2.3%
베이커리 64
 
1.8%
뚜레쥬르 55
 
1.5%
마들렌베이커리 23
 
0.6%
크라운베이커리 22
 
0.6%
반월당고로케 20
 
0.6%
빵굽는마을 17
 
0.5%
뉴욕베이커리 17
 
0.5%
대백베이커리 17
 
0.5%
바리에떼 13
 
0.4%
Other values (2471) 3260
90.8%
2024-04-20T22:41:29.974308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1171
 
5.2%
983
 
4.4%
920
 
4.1%
763
 
3.4%
715
 
3.2%
602
 
2.7%
413
 
1.8%
) 380
 
1.7%
( 379
 
1.7%
378
 
1.7%
Other values (673) 15672
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19654
87.8%
Lowercase Letter 614
 
2.7%
Space Separator 602
 
2.7%
Uppercase Letter 542
 
2.4%
Close Punctuation 380
 
1.7%
Open Punctuation 379
 
1.7%
Decimal Number 168
 
0.8%
Other Punctuation 29
 
0.1%
Dash Punctuation 6
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1171
 
6.0%
983
 
5.0%
920
 
4.7%
763
 
3.9%
715
 
3.6%
413
 
2.1%
378
 
1.9%
339
 
1.7%
324
 
1.6%
296
 
1.5%
Other values (603) 13352
67.9%
Lowercase Letter
ValueCountFrequency (%)
e 91
14.8%
a 67
10.9%
o 63
 
10.3%
n 42
 
6.8%
i 40
 
6.5%
r 37
 
6.0%
k 31
 
5.0%
c 27
 
4.4%
s 26
 
4.2%
t 24
 
3.9%
Other values (15) 166
27.0%
Uppercase Letter
ValueCountFrequency (%)
E 53
 
9.8%
B 50
 
9.2%
A 46
 
8.5%
K 43
 
7.9%
R 41
 
7.6%
O 40
 
7.4%
M 29
 
5.4%
N 28
 
5.2%
S 25
 
4.6%
C 25
 
4.6%
Other values (14) 162
29.9%
Decimal Number
ValueCountFrequency (%)
2 46
27.4%
1 36
21.4%
3 21
12.5%
0 16
 
9.5%
5 13
 
7.7%
9 9
 
5.4%
6 9
 
5.4%
7 7
 
4.2%
8 6
 
3.6%
4 5
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 10
34.5%
. 9
31.0%
, 4
 
13.8%
' 3
 
10.3%
: 3
 
10.3%
Space Separator
ValueCountFrequency (%)
602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19646
87.8%
Common 1565
 
7.0%
Latin 1157
 
5.2%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1171
 
6.0%
983
 
5.0%
920
 
4.7%
763
 
3.9%
715
 
3.6%
413
 
2.1%
378
 
1.9%
339
 
1.7%
324
 
1.6%
296
 
1.5%
Other values (596) 13344
67.9%
Latin
ValueCountFrequency (%)
e 91
 
7.9%
a 67
 
5.8%
o 63
 
5.4%
E 53
 
4.6%
B 50
 
4.3%
A 46
 
4.0%
K 43
 
3.7%
n 42
 
3.6%
R 41
 
3.5%
i 40
 
3.5%
Other values (40) 621
53.7%
Common
ValueCountFrequency (%)
602
38.5%
) 380
24.3%
( 379
24.2%
2 46
 
2.9%
1 36
 
2.3%
3 21
 
1.3%
0 16
 
1.0%
5 13
 
0.8%
& 10
 
0.6%
9 9
 
0.6%
Other values (10) 53
 
3.4%
Han
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19646
87.8%
ASCII 2721
 
12.2%
CJK 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1171
 
6.0%
983
 
5.0%
920
 
4.7%
763
 
3.9%
715
 
3.6%
413
 
2.1%
378
 
1.9%
339
 
1.7%
324
 
1.6%
296
 
1.5%
Other values (596) 13344
67.9%
ASCII
ValueCountFrequency (%)
602
22.1%
) 380
14.0%
( 379
13.9%
e 91
 
3.3%
a 67
 
2.5%
o 63
 
2.3%
E 53
 
1.9%
B 50
 
1.8%
2 46
 
1.7%
A 46
 
1.7%
Other values (59) 944
34.7%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Number Forms
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct2750
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141536 × 1013
Minimum2.001081 × 1013
Maximum2.0220829 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:30.654416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001081 × 1013
5-th percentile2.0020924 × 1013
Q12.0090728 × 1013
median2.0160422 × 1013
Q32.0200704 × 1013
95-th percentile2.0220417 × 1013
Maximum2.0220829 × 1013
Range2.1001915 × 1011
Interquartile range (IQR)1.0997599 × 1011

Descriptive statistics

Standard deviation6.5039836 × 1010
Coefficient of variation (CV)0.0032291398
Kurtosis-1.0454162
Mean2.0141536 × 1013
Median Absolute Deviation (MAD)4.9908561 × 1010
Skewness-0.51108943
Sum6.018291 × 1016
Variance4.2301803 × 1021
MonotonicityNot monotonic
2024-04-20T22:41:31.088842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041008000000 21
 
0.7%
20020919000000 19
 
0.6%
20020916000000 13
 
0.4%
20021024000000 13
 
0.4%
20211101041509 10
 
0.3%
20020918000000 9
 
0.3%
20021101000000 8
 
0.3%
20021209000000 6
 
0.2%
20020830000000 6
 
0.2%
20020412000000 5
 
0.2%
Other values (2740) 2878
96.3%
ValueCountFrequency (%)
20010810000000 2
0.1%
20010811000000 2
0.1%
20010816000000 1
< 0.1%
20010817000000 2
0.1%
20011030000000 1
< 0.1%
20011031000000 2
0.1%
20011101000000 1
< 0.1%
20011102000000 1
< 0.1%
20011105000000 2
0.1%
20011107000000 1
< 0.1%
ValueCountFrequency (%)
20220829151414 1
< 0.1%
20220829120757 1
< 0.1%
20220826145324 1
< 0.1%
20220826102707 1
< 0.1%
20220826101856 1
< 0.1%
20220826093334 1
< 0.1%
20220825173931 1
< 0.1%
20220825163443 1
< 0.1%
20220825153106 1
< 0.1%
20220824162234 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
I
1939 
U
1049 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1939
64.9%
U 1049
35.1%

Length

2024-04-20T22:41:31.520719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:31.850593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1939
64.9%
u 1049
35.1%
Distinct668
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
Minimum2018-08-31 23:59:59
Maximum2022-08-31 02:40:00
2024-04-20T22:41:32.219750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T22:41:32.568275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
제과점영업
2986 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993307
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 2986
99.9%
푸드트럭 2
 
0.1%

Length

2024-04-20T22:41:32.813838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:32.985387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 2986
99.9%
푸드트럭 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2072
Distinct (%)71.3%
Missing81
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean343097.44
Minimum327860.09
Maximum358046.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:33.166845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327860.09
5-th percentile334644.52
Q1339584.74
median343588.74
Q3346176.66
95-th percentile353575.2
Maximum358046.4
Range30186.309
Interquartile range (IQR)6591.9242

Descriptive statistics

Standard deviation5195.6165
Coefficient of variation (CV)0.015143268
Kurtosis0.27342612
Mean343097.44
Median Absolute Deviation (MAD)3448.5064
Skewness0.10213094
Sum9.9738427 × 108
Variance26994431
MonotonicityNot monotonic
2024-04-20T22:41:33.466583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343588.735555 80
 
2.7%
345032.238221 42
 
1.4%
344047.164924 28
 
0.9%
347037.24197 22
 
0.7%
344047.979265 17
 
0.6%
340320.72271 13
 
0.4%
343705.561002 12
 
0.4%
347008.880529 12
 
0.4%
339047.793379 12
 
0.4%
347060.417753 10
 
0.3%
Other values (2062) 2659
89.0%
(Missing) 81
 
2.7%
ValueCountFrequency (%)
327860.094827 1
< 0.1%
327994.771471 1
< 0.1%
328015.993727 1
< 0.1%
328158.321294 1
< 0.1%
328209.625282 1
< 0.1%
328226.964839 1
< 0.1%
329898.834237 1
< 0.1%
329914.0 1
< 0.1%
330013.035782 1
< 0.1%
330084.748297 1
< 0.1%
ValueCountFrequency (%)
358046.403776 1
< 0.1%
357908.12325 1
< 0.1%
357881.329153 1
< 0.1%
356437.578421 1
< 0.1%
356425.755845 1
< 0.1%
356353.91544 2
0.1%
356351.120591 1
< 0.1%
356312.340344 1
< 0.1%
356222.826617 1
< 0.1%
356202.878304 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2071
Distinct (%)71.2%
Missing81
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263316.8
Minimum240452.6
Maximum277860.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:33.826170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile257454.61
Q1261227.5
median263381.69
Q3265315.59
95-th percentile271412.22
Maximum277860.93
Range37408.331
Interquartile range (IQR)4088.0886

Descriptive statistics

Standard deviation4437.6801
Coefficient of variation (CV)0.016853008
Kurtosis4.2997531
Mean263316.8
Median Absolute Deviation (MAD)2025.713
Skewness-0.87823094
Sum7.6546194 × 108
Variance19693004
MonotonicityNot monotonic
2024-04-20T22:41:34.082841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264119.01075 80
 
2.7%
262949.871621 42
 
1.4%
265132.987974 28
 
0.9%
265407.404337 22
 
0.7%
264405.128696 17
 
0.6%
272735.67566 13
 
0.4%
265530.003516 12
 
0.4%
264056.630949 12
 
0.4%
258741.90218 12
 
0.4%
265732.622769 10
 
0.3%
Other values (2061) 2659
89.0%
(Missing) 81
 
2.7%
ValueCountFrequency (%)
240452.59556 1
< 0.1%
240482.499847 1
< 0.1%
240483.091393 1
< 0.1%
240483.177406 1
< 0.1%
240839.348978 1
< 0.1%
240868.08825 1
< 0.1%
244475.0 1
< 0.1%
244562.0 1
< 0.1%
244624.0 2
0.1%
244625.0 1
< 0.1%
ValueCountFrequency (%)
277860.926384 1
< 0.1%
275847.996577 1
< 0.1%
274018.517122 1
< 0.1%
274001.175164 2
0.1%
273719.251935 1
< 0.1%
273712.082489 1
< 0.1%
273612.928446 1
< 0.1%
273587.706164 1
< 0.1%
273506.093893 1
< 0.1%
273495.538932 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
제과점영업
2986 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993307
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 2986
99.9%
푸드트럭 2
 
0.1%

Length

2024-04-20T22:41:34.344049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:34.573273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 2986
99.9%
푸드트럭 2
 
0.1%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.7%
Missing1373
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean0.44829721
Minimum0
Maximum17
Zeros1159
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:34.838394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0035355
Coefficient of variation (CV)2.2385495
Kurtosis67.684535
Mean0.44829721
Median Absolute Deviation (MAD)0
Skewness5.8965781
Sum724
Variance1.0070835
MonotonicityNot monotonic
2024-04-20T22:41:35.036148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1159
38.8%
1 304
 
10.2%
2 96
 
3.2%
3 34
 
1.1%
4 13
 
0.4%
5 3
 
0.1%
7 2
 
0.1%
13 1
 
< 0.1%
6 1
 
< 0.1%
17 1
 
< 0.1%
(Missing) 1373
46.0%
ValueCountFrequency (%)
0 1159
38.8%
1 304
 
10.2%
2 96
 
3.2%
3 34
 
1.1%
4 13
 
0.4%
5 3
 
0.1%
6 1
 
< 0.1%
7 2
 
0.1%
9 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
13 1
 
< 0.1%
9 1
 
< 0.1%
7 2
 
0.1%
6 1
 
< 0.1%
5 3
 
0.1%
4 13
 
0.4%
3 34
 
1.1%
2 96
 
3.2%
1 304
10.2%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)0.8%
Missing1294
Missing (%)43.3%
Infinite0
Infinite (%)0.0%
Mean0.65938607
Minimum0
Maximum47
Zeros1116
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:35.380472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum47
Range47
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6831863
Coefficient of variation (CV)2.5526568
Kurtosis348.86838
Mean0.65938607
Median Absolute Deviation (MAD)0
Skewness14.078347
Sum1117
Variance2.8331162
MonotonicityNot monotonic
2024-04-20T22:41:35.733023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 1116
37.3%
1 318
 
10.6%
2 155
 
5.2%
3 58
 
1.9%
4 16
 
0.5%
5 10
 
0.3%
6 10
 
0.3%
7 5
 
0.2%
18 1
 
< 0.1%
47 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 1294
43.3%
ValueCountFrequency (%)
0 1116
37.3%
1 318
 
10.6%
2 155
 
5.2%
3 58
 
1.9%
4 16
 
0.5%
5 10
 
0.3%
6 10
 
0.3%
7 5
 
0.2%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
47 1
 
< 0.1%
18 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
7 5
 
0.2%
6 10
0.3%
5 10
0.3%
4 16
0.5%
Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
1275 
기타
880 
주택가주변
395 
아파트지역
349 
유흥업소밀집지역
 
50
Other values (3)
 
39

Length

Max length8
Median length7
Mean length3.7787818
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1275
42.7%
기타 880
29.5%
주택가주변 395
 
13.2%
아파트지역 349
 
11.7%
유흥업소밀집지역 50
 
1.7%
학교정화(상대) 29
 
1.0%
학교정화(절대) 9
 
0.3%
결혼예식장주변 1
 
< 0.1%

Length

2024-04-20T22:41:35.982135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:36.192309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1275
42.7%
기타 880
29.5%
주택가주변 395
 
13.2%
아파트지역 349
 
11.7%
유흥업소밀집지역 50
 
1.7%
학교정화(상대 29
 
1.0%
학교정화(절대 9
 
0.3%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2107 
자율
643 
기타
235 
 
3

Length

Max length4
Median length4
Mean length3.4093039
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2107
70.5%
자율 643
 
21.5%
기타 235
 
7.9%
3
 
0.1%

Length

2024-04-20T22:41:36.446066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:36.761070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2107
70.5%
자율 643
 
21.5%
기타 235
 
7.9%
3
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
상수도전용
2281 
<NA>
704 
전용상수도(특정시설의 자가용 수도)
 
2
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length19
Median length5
Mean length4.7777778
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2281
76.3%
<NA> 704
 
23.6%
전용상수도(특정시설의 자가용 수도) 2
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-04-20T22:41:37.156117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:37.511943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2281
76.2%
na 704
 
23.5%
전용상수도(특정시설의 2
 
0.1%
자가용 2
 
0.1%
수도 2
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2598 
0
390 

Length

Max length4
Median length4
Mean length3.6084337
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2598
86.9%
0 390
 
13.1%

Length

2024-04-20T22:41:37.938755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:38.299874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2598
86.9%
0 390
 
13.1%

본사직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
397 

Length

Max length4
Median length4
Mean length3.6014056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2591
86.7%
0 397
 
13.3%

Length

2024-04-20T22:41:38.675093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:39.019774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.7%
0 397
 
13.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
397 

Length

Max length4
Median length4
Mean length3.6014056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2591
86.7%
0 397
 
13.3%

Length

2024-04-20T22:41:39.409524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:39.752420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.7%
0 397
 
13.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
397 

Length

Max length4
Median length4
Mean length3.6014056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2591
86.7%
0 397
 
13.3%

Length

2024-04-20T22:41:40.117728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:40.460938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.7%
0 397
 
13.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
397 

Length

Max length4
Median length4
Mean length3.6014056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2591
86.7%
0 397
 
13.3%

Length

2024-04-20T22:41:40.836767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:41.191908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.7%
0 397
 
13.3%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
397 

Length

Max length4
Median length4
Mean length3.6014056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2591
86.7%
0 397
 
13.3%

Length

2024-04-20T22:41:41.479116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:41.803122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.7%
0 397
 
13.3%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
<NA>
2591 
0
397 

Length

Max length4
Median length4
Mean length3.6014056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2591
86.7%
0 397
 
13.3%

Length

2024-04-20T22:41:42.151465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:41:42.400574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2591
86.7%
0 397
 
13.3%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2947 
True
 
41
ValueCountFrequency (%)
False 2947
98.6%
True 41
 
1.4%
2024-04-20T22:41:42.663656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct1889
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.769391
Minimum0
Maximum1300
Zeros150
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2024-04-20T22:41:43.154477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.315
Q123.0475
median35.19
Q356.4
95-th percentile116.563
Maximum1300
Range1300
Interquartile range (IQR)33.3525

Descriptive statistics

Standard deviation54.141901
Coefficient of variation (CV)1.1576354
Kurtosis135.04668
Mean46.769391
Median Absolute Deviation (MAD)14.89
Skewness8.3684577
Sum139746.94
Variance2931.3455
MonotonicityNot monotonic
2024-04-20T22:41:43.469810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 150
 
5.0%
33.0 21
 
0.7%
20.0 17
 
0.6%
36.0 16
 
0.5%
3.3 14
 
0.5%
26.4 14
 
0.5%
30.0 13
 
0.4%
40.0 12
 
0.4%
28.0 11
 
0.4%
19.8 11
 
0.4%
Other values (1879) 2709
90.7%
ValueCountFrequency (%)
0.0 150
5.0%
0.9 1
 
< 0.1%
1.0 4
 
0.1%
1.2 1
 
< 0.1%
1.44 3
 
0.1%
1.5 3
 
0.1%
1.55 1
 
< 0.1%
1.6 2
 
0.1%
1.69 1
 
< 0.1%
1.92 1
 
< 0.1%
ValueCountFrequency (%)
1300.0 1
< 0.1%
787.0 1
< 0.1%
734.07 1
< 0.1%
732.0 1
< 0.1%
613.0 1
< 0.1%
504.1 1
< 0.1%
432.0 1
< 0.1%
424.58 1
< 0.1%
415.0 1
< 0.1%
401.85 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2988
Missing (%)100.0%
Memory size26.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01제과점영업07_22_18_P34100003410000-121-2017-0000920170223<NA>3폐업2폐업20171218<NA><NA><NA><NA>2.20700082대구광역시 중구 계산동2가 0200번지 현대백화점 식품관대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)41936딜리저트20171218153728I2018-08-31 23:59:59.0제과점영업343588.735555264119.01075제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N2.2<NA><NA><NA>
12제과점영업07_22_18_P34100003410000-121-2017-0001020170227<NA>3폐업2폐업20220513<NA><NA><NA><NA>4.10700082대구광역시 중구 계산동2가 0200 현대백화점 식품관대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)41936마듀현대백화점대구점20220513153819U2022-05-15 02:40:00.0제과점영업343588.735555264119.01075제과점영업00기타<NA>상수도전용00000<NA>00N4.1<NA><NA><NA>
23제과점영업07_22_18_P34100003410000-121-2017-0001120170227<NA>3폐업2폐업20190103<NA><NA><NA><NA>8.90700082대구광역시 중구 계산동2가 0200번지 현대백화점 식품관대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)41936슈엣20190103092540U2019-01-05 02:40:00.0제과점영업343588.735555264119.01075제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N8.9<NA><NA><NA>
34제과점영업07_22_18_P34100003410000-121-2017-0001220170228<NA>3폐업2폐업20170807<NA><NA><NA><NA>42.15700082대구광역시 중구 계산동2가 0200번지 현대백화점 식품관대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)41936파티세리몽슈슈 현대백화점대구점20170807100214I2018-08-31 23:59:59.0제과점영업343588.735555264119.01075제과점영업<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N42.15<NA><NA><NA>
45제과점영업07_22_18_P34100003410000-121-2007-0000620070423<NA>3폐업2폐업20170601<NA><NA><NA>053 2560359198.85700092대구광역시 중구 동성로2가 0156-0003번지 지상1,2,3층대구광역시 중구 동성로6길 10 (동성로2가)41941비알코리아(주)던킨도너츠20170601110357I2018-08-31 23:59:59.0제과점영업344064.229811264370.442947제과점영업00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N198.85<NA><NA><NA>
56제과점영업07_22_18_P34100003410000-121-2007-0000720070807<NA>3폐업2폐업20071221<NA><NA><NA>00530252600111.00700210대구광역시 중구 하서동 0028번지 지상1층<NA><NA>아미고 베이커리20071126091515I2018-08-31 23:59:59.0제과점영업<NA><NA>제과점영업<NA>1기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N11.0<NA><NA><NA>
67제과점영업07_22_18_P34100003410000-121-2007-0000820070903<NA>3폐업2폐업20071231<NA><NA><NA><NA>9.90700718대구광역시 중구 대봉동 0214번지 대백프라자 지하1층<NA><NA>(주)명류당 대백프라자점20070910112316I2018-08-31 23:59:59.0제과점영업345032.238221262949.871621제과점영업11기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N9.9<NA><NA><NA>
78제과점영업07_22_18_P34100003410000-121-2007-0000920070903<NA>3폐업2폐업20090904<NA><NA><NA>053 256045391.20700092대구광역시 중구 동성로2가 0166-0001번지 대구백화점 지하1층<NA><NA>씨제이푸드빌 (주)뚜레쥬르 대백점20090728102500I2018-08-31 23:59:59.0제과점영업344047.979265264405.128696제과점영업37기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N91.2<NA><NA><NA>
89제과점영업07_22_18_P34100003410000-121-2017-0002820170601<NA>3폐업2폐업20200121<NA><NA><NA><NA>34.20700823대구광역시 중구 봉산동 0127-0001번지 지하1층 메트로프라자 H267대구광역시 중구 달구벌대로 지하 2160 (봉산동, 지하1층 메트로프라자 H267)4195920200121100354U2020-01-23 02:40:00.0제과점영업344083.488663263931.205868제과점영업<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N34.2<NA><NA><NA>
910제과점영업07_22_18_P34100003410000-121-2016-0000320160322<NA>3폐업2폐업20180102<NA><NA><NA>053 431005561.24700070대구광역시 중구 덕산동 0127-0023번지 지상1층대구광역시 중구 중앙대로 372 (덕산동, 지상1층)41943아리랑단팥빵20180102110726I2018-08-31 23:59:59.0제과점영업343866.047984264078.941354제과점영업34기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N61.24<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
29782979제과점영업07_22_18_P34800003480000-121-2016-0001120160909<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 176740.13711873대구광역시 달성군 현풍면 중리 470-9번지 1층대구광역시 달성군 현풍면 테크노중앙대로5길 8, 1층43014파네디파파(pane di papa))20161220153326I2018-08-31 23:59:59.0제과점영업331651.937451245189.117708제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N40.13<NA><NA><NA>
29792980제과점영업07_22_18_P34800003480000-121-2014-0000520141208<NA>1영업/정상1영업<NA><NA><NA><NA>053 202 1232285.00711813대구광역시 달성군 다사읍 서재리 121-3대구광역시 달성군 다사읍 서재본길 4, 1~2층42923양과부띠끄엘20220812151928U2022-08-14 02:40:00.0제과점영업335138.716049264584.919088제과점영업00기타<NA>상수도전용00000<NA>00Y285.0<NA><NA><NA>
29802981제과점영업07_22_18_P34800003480000-121-2018-0000120180328<NA>1영업/정상1영업<NA><NA><NA><NA><NA>61.27711852대구광역시 달성군 논공읍 북리 803-302번지대구광역시 달성군 논공읍 논공로 774, 1층42979호밀빵20180425201620I2018-08-31 23:59:59.0제과점영업330430.957874248611.080445제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N61.27<NA><NA><NA>
29812982제과점영업07_22_18_P34800003480000-121-2014-0000420140731<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.00711852대구광역시 달성군 논공읍 북리 833-75번지 외1필지대구광역시 달성군 논공읍 논공중앙로 12842985나이스 빵집20140731115743I2018-08-31 23:59:59.0제과점영업330992.612575248466.723517제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N30.0<NA><NA><NA>
29822983제과점영업07_22_18_P34800003480000-121-2015-0000420151104<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.00711842대구광역시 달성군 옥포면 강림리 1168번지대구광역시 달성군 옥포면 돌미로2서길 3-4, 1층42974베이커리20160330163420I2018-08-31 23:59:59.0제과점영업329898.834237254152.127229제과점영업<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.0<NA><NA><NA>
29832984제과점영업07_22_18_P34800003480000-121-2016-0000320160310<NA>1영업/정상1영업<NA><NA><NA><NA><NA>95.57711843대구광역시 달성군 옥포면 교항리 2919번지대구광역시 달성군 옥포면 돌미상업로 9, 1층 105,106호42974파리바게트 대구옥포점20160422110702I2018-08-31 23:59:59.0제과점영업330283.226863254512.172379제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N95.57<NA><NA><NA>
29842985제과점영업07_22_18_P34800003480000-121-2016-0000420160316<NA>1영업/정상1영업<NA><NA><NA><NA>053 611 828491.93<NA>대구광역시 달성군 현풍읍 중리 489-105대구광역시 달성군 현풍읍 테크노상업로 46, 1층 105호43017뚜레쥬르(현풍테크노점)20220812141106U2022-08-14 02:40:00.0제과점영업331608.0244625.0제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N91.93<NA><NA><NA>
29852986제과점영업07_22_18_P34800003480000-121-2016-0000520160510<NA>1영업/정상1영업<NA><NA><NA><NA><NA>105.69711812대구광역시 달성군 다사읍 매곡리 1526번지 1층대구광역시 달성군 다사읍 대실역북로2길 137, 1층42911우리밀 레헴20160523094705I2018-08-31 23:59:59.0제과점영업332392.456162263776.054896제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N68.5<NA><NA><NA>
29862987제과점영업07_22_18_P34800003480000-121-2016-0000620160513<NA>1영업/정상1영업<NA><NA><NA><NA>053 581 0045116.94711814대구광역시 달성군 다사읍 세천리 1557-5번지대구광역시 달성군 다사읍 세천북로8길 11, 1층42922우리밀 빵집20160523094525I2018-08-31 23:59:59.0제과점영업333466.083347265290.139921제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N116.94<NA><NA><NA>
29872988제과점영업07_22_18_P34800003480000-121-2016-0000720160608<NA>1영업/정상1영업<NA><NA><NA><NA>053 611 500377.78<NA>대구광역시 달성군 유가읍 봉리 619번지 1층(121, 122호)대구광역시 달성군 유가읍 테크노상업로 120, 1층 121, 122호43018카프리쵸샤20160630160617I2018-08-31 23:59:59.0제과점영업332317.0244698.0제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N77.78<NA><NA><NA>