Overview

Dataset statistics

Number of variables47
Number of observations2973
Missing cells30665
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory405.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년07월_6270000_대구광역시_07_22_18_P_제과점영업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094050&dataSetDetailId=DDI_0000094069&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 (60.3%)Imbalance
다중이용업소여부 is highly imbalanced (89.7%)Imbalance
인허가취소일자 has 2973 (100.0%) missing valuesMissing
폐업일자 has 973 (32.7%) missing valuesMissing
휴업시작일자 has 2973 (100.0%) missing valuesMissing
휴업종료일자 has 2973 (100.0%) missing valuesMissing
재개업일자 has 2973 (100.0%) missing valuesMissing
소재지전화 has 1248 (42.0%) missing valuesMissing
소재지면적 has 103 (3.5%) missing valuesMissing
소재지우편번호 has 32 (1.1%) missing valuesMissing
도로명전체주소 has 830 (27.9%) missing valuesMissing
도로명우편번호 has 848 (28.5%) missing valuesMissing
좌표정보(X) has 81 (2.7%) missing valuesMissing
좌표정보(Y) has 81 (2.7%) missing valuesMissing
남성종사자수 has 1382 (46.5%) missing valuesMissing
여성종사자수 has 1303 (43.8%) missing valuesMissing
건물소유구분명 has 2973 (100.0%) missing valuesMissing
전통업소지정번호 has 2973 (100.0%) missing valuesMissing
전통업소주된음식 has 2973 (100.0%) missing valuesMissing
홈페이지 has 2973 (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 1135 (38.2%) zerosZeros
여성종사자수 has 1092 (36.7%) zerosZeros
시설총규모 has 141 (4.7%) zerosZeros

Reproduction

Analysis started2023-12-10 18:35:22.904351
Analysis finished2023-12-10 18:35:24.993642
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2973
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1487
Minimum1
Maximum2973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:25.132079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile149.6
Q1744
median1487
Q32230
95-th percentile2824.4
Maximum2973
Range2972
Interquartile range (IQR)1486

Descriptive statistics

Standard deviation858.3755
Coefficient of variation (CV)0.57725319
Kurtosis-1.2
Mean1487
Median Absolute Deviation (MAD)743
Skewness0
Sum4420851
Variance736808.5
MonotonicityStrictly increasing
2023-12-11T03:35:25.381296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1987 1
 
< 0.1%
1978 1
 
< 0.1%
1979 1
 
< 0.1%
1980 1
 
< 0.1%
1981 1
 
< 0.1%
1982 1
 
< 0.1%
1983 1
 
< 0.1%
1984 1
 
< 0.1%
1985 1
 
< 0.1%
Other values (2963) 2963
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 (%)
2973 1
< 0.1%
2972 1
< 0.1%
2971 1
< 0.1%
2970 1
< 0.1%
2969 1
< 0.1%
2968 1
< 0.1%
2967 1
< 0.1%
2966 1
< 0.1%
2965 1
< 0.1%
2964 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
제과점영업
2973 

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 2973
100.0%

Length

2023-12-11T03:35:25.613283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:25.761895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 2973
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
07_22_18_P
2973 

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 2973
100.0%

Length

2023-12-11T03:35:25.952147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:26.166714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 2973
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447258.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:26.312218image/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 deviation22069.556
Coefficient of variation (CV)0.0064020598
Kurtosis-1.1263176
Mean3447258.7
Median Absolute Deviation (MAD)20000
Skewness-0.38950127
Sum1.02487 × 1010
Variance4.8706531 × 108
MonotonicityIncreasing
2023-12-11T03:35:26.519930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 590
19.8%
3460000 543
18.3%
3450000 532
17.9%
3410000 373
12.5%
3420000 340
11.4%
3430000 207
 
7.0%
3440000 194
 
6.5%
3480000 194
 
6.5%
ValueCountFrequency (%)
3410000 373
12.5%
3420000 340
11.4%
3430000 207
 
7.0%
3440000 194
 
6.5%
3450000 532
17.9%
3460000 543
18.3%
3470000 590
19.8%
3480000 194
 
6.5%
ValueCountFrequency (%)
3480000 194
 
6.5%
3470000 590
19.8%
3460000 543
18.3%
3450000 532
17.9%
3440000 194
 
6.5%
3430000 207
 
7.0%
3420000 340
11.4%
3410000 373
12.5%

관리번호
Text

UNIQUE 

Distinct2973
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-11T03:35:26.821553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters65406
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

Unique2973 ?
Unique (%)100.0%

Sample

1st row3410000-121-2016-00004
2nd row3410000-121-2016-00005
3rd row3410000-121-2016-00007
4th row3410000-121-2016-00009
5th row3410000-121-2016-00010
ValueCountFrequency (%)
3410000-121-2016-00004 1
 
< 0.1%
3460000-121-2015-00001 1
 
< 0.1%
3460000-121-2011-00017 1
 
< 0.1%
3460000-121-2011-00031 1
 
< 0.1%
3460000-121-2014-00008 1
 
< 0.1%
3460000-121-2014-00009 1
 
< 0.1%
3460000-121-2014-00010 1
 
< 0.1%
3460000-121-2014-00012 1
 
< 0.1%
3460000-121-2014-00014 1
 
< 0.1%
3460000-121-2014-00015 1
 
< 0.1%
Other values (2963) 2963
99.7%
2023-12-11T03:35:27.356252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26336
40.3%
1 9610
 
14.7%
- 8919
 
13.6%
2 7427
 
11.4%
3 3904
 
6.0%
4 3815
 
5.8%
7 1203
 
1.8%
6 1152
 
1.8%
5 1147
 
1.8%
9 1061
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56487
86.4%
Dash Punctuation 8919
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26336
46.6%
1 9610
 
17.0%
2 7427
 
13.1%
3 3904
 
6.9%
4 3815
 
6.8%
7 1203
 
2.1%
6 1152
 
2.0%
5 1147
 
2.0%
9 1061
 
1.9%
8 832
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 8919
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26336
40.3%
1 9610
 
14.7%
- 8919
 
13.6%
2 7427
 
11.4%
3 3904
 
6.0%
4 3815
 
5.8%
7 1203
 
1.8%
6 1152
 
1.8%
5 1147
 
1.8%
9 1061
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26336
40.3%
1 9610
 
14.7%
- 8919
 
13.6%
2 7427
 
11.4%
3 3904
 
6.0%
4 3815
 
5.8%
7 1203
 
1.8%
6 1152
 
1.8%
5 1147
 
1.8%
9 1061
 
1.6%

인허가일자
Real number (ℝ)

Distinct2331
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20097005
Minimum19790328
Maximum20220728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:27.611760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790328
5-th percentile19950284
Q120040827
median20101108
Q320161205
95-th percentile20210729
Maximum20220728
Range430400
Interquartile range (IQR)120378

Descriptive statistics

Standard deviation82060.007
Coefficient of variation (CV)0.0040831958
Kurtosis0.24882918
Mean20097005
Median Absolute Deviation (MAD)60101
Skewness-0.67132497
Sum5.9748396 × 1010
Variance6.7338447 × 109
MonotonicityNot monotonic
2023-12-11T03:35:27.864270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161206 7
 
0.2%
19940217 7
 
0.2%
20110802 6
 
0.2%
20161212 5
 
0.2%
20170223 4
 
0.1%
20211025 4
 
0.1%
19930907 4
 
0.1%
20100528 4
 
0.1%
20180119 4
 
0.1%
20150504 4
 
0.1%
Other values (2321) 2924
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 (%)
20220728 1
< 0.1%
20220722 2
0.1%
20220718 1
< 0.1%
20220714 1
< 0.1%
20220711 2
0.1%
20220708 1
< 0.1%
20220706 2
0.1%
20220701 1
< 0.1%
20220629 1
< 0.1%
20220620 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
3
2000 
1
973 

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 2000
67.3%
1 973
32.7%

Length

2023-12-11T03:35:28.100345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:28.293053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2000
67.3%
1 973
32.7%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
폐업
2000 
영업/정상
973 

Length

Max length5
Median length2
Mean length2.9818365
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2000
67.3%
영업/정상 973
32.7%

Length

2023-12-11T03:35:28.486716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:28.671175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2000
67.3%
영업/정상 973
32.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2
2000 
1
973 

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 2000
67.3%
1 973
32.7%

Length

2023-12-11T03:35:28.865248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:29.028649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2000
67.3%
1 973
32.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
폐업
2000 
영업
973 

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 2000
67.3%
영업 973
32.7%

Length

2023-12-11T03:35:29.211092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:29.676244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2000
67.3%
영업 973
32.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct1482
Distinct (%)74.1%
Missing973
Missing (%)32.7%
Infinite0
Infinite (%)0.0%
Mean20134502
Minimum20020319
Maximum20220728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:29.873263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020319
5-th percentile20051129
Q120090524
median20140164
Q320180515
95-th percentile20211031
Maximum20220728
Range200409
Interquartile range (IQR)89990.5

Descriptive statistics

Standard deviation52403.689
Coefficient of variation (CV)0.0026026812
Kurtosis-1.1886519
Mean20134502
Median Absolute Deviation (MAD)41047.5
Skewness-0.08906184
Sum4.0269003 × 1010
Variance2.7461466 × 109
MonotonicityNot monotonic
2023-12-11T03:35:30.148655image/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%
20190108 6
 
0.2%
20130129 6
 
0.2%
20220120 5
 
0.2%
20141231 5
 
0.2%
20220518 5
 
0.2%
20050125 5
 
0.2%
20051221 4
 
0.1%
Other values (1472) 1940
65.3%
(Missing) 973
32.7%
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 (%)
20220728 1
 
< 0.1%
20220721 1
 
< 0.1%
20220717 1
 
< 0.1%
20220712 2
0.1%
20220707 2
0.1%
20220630 1
 
< 0.1%
20220627 1
 
< 0.1%
20220624 1
 
< 0.1%
20220623 3
0.1%
20220617 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB

소재지전화
Text

MISSING 

Distinct1614
Distinct (%)93.6%
Missing1248
Missing (%)42.0%
Memory size23.4 KiB
2023-12-11T03:35:30.713592image/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 2573393
2nd row053 4248747
3rd row053 4242025
4th row053 4310300
5th row053957 3977
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%
2023-12-11T03:35:31.429557image/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 

Distinct1868
Distinct (%)65.1%
Missing103
Missing (%)3.5%
Memory size23.4 KiB
2023-12-11T03:35:31.997383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.9658537
Min length3

Characters and Unicode

Total characters14252
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

Unique1412 ?
Unique (%)49.2%

Sample

1st row140.16
2nd row15.74
3rd row105.01
4th row25.92
5th row32.55
ValueCountFrequency (%)
00 65
 
2.3%
33.00 21
 
0.7%
20.00 17
 
0.6%
36.00 15
 
0.5%
26.40 14
 
0.5%
3.30 14
 
0.5%
30.00 14
 
0.5%
40.00 12
 
0.4%
10.00 11
 
0.4%
28.00 11
 
0.4%
Other values (1858) 2676
93.2%
2023-12-11T03:35:32.802437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2870
20.1%
0 2354
16.5%
2 1433
10.1%
3 1199
8.4%
4 1143
 
8.0%
5 1013
 
7.1%
1 1005
 
7.1%
6 945
 
6.6%
8 828
 
5.8%
7 739
 
5.2%
Other values (2) 723
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11381
79.9%
Other Punctuation 2871
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2354
20.7%
2 1433
12.6%
3 1199
10.5%
4 1143
10.0%
5 1013
8.9%
1 1005
8.8%
6 945
8.3%
8 828
 
7.3%
7 739
 
6.5%
9 722
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 2870
> 99.9%
, 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 14252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2870
20.1%
0 2354
16.5%
2 1433
10.1%
3 1199
8.4%
4 1143
 
8.0%
5 1013
 
7.1%
1 1005
 
7.1%
6 945
 
6.6%
8 828
 
5.8%
7 739
 
5.2%
Other values (2) 723
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2870
20.1%
0 2354
16.5%
2 1433
10.1%
3 1199
8.4%
4 1143
 
8.0%
5 1013
 
7.1%
1 1005
 
7.1%
6 945
 
6.6%
8 828
 
5.8%
7 739
 
5.2%
Other values (2) 723
 
5.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)17.3%
Missing32
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean704239.18
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:33.065053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700150
Q1702040
median704080
Q3705832
95-th percentile711812
Maximum711891
Range11881
Interquartile range (IQR)3792

Descriptive statistics

Standard deviation2750.8932
Coefficient of variation (CV)0.0039061917
Kurtosis0.94531243
Mean704239.18
Median Absolute Deviation (MAD)1810
Skewness0.8278115
Sum2.0711674 × 109
Variance7567413.6
MonotonicityNot monotonic
2023-12-11T03:35:33.296176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700082 76
 
2.6%
706170 42
 
1.4%
702886 40
 
1.3%
704834 28
 
0.9%
706803 28
 
0.9%
702040 26
 
0.9%
700092 25
 
0.8%
702845 25
 
0.8%
700718 24
 
0.8%
702807 23
 
0.8%
Other values (499) 2604
87.6%
(Missing) 32
 
1.1%
ValueCountFrequency (%)
700010 1
 
< 0.1%
700040 3
 
0.1%
700060 8
 
0.3%
700070 18
 
0.6%
700082 76
2.6%
700092 25
 
0.8%
700093 13
 
0.4%
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%
Distinct2656
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-11T03:35:33.740942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length26.602085
Min length16

Characters and Unicode

Total characters79088
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

Unique2486 ?
Unique (%)83.6%

Sample

1st row대구광역시 중구 대봉동 0214번지 대백프라자 식품관
2nd row대구광역시 중구 동성로3가 0027-0004번지 지상1층
3rd row대구광역시 중구 동성로3가 0016-0010번지 지상1층
4th row대구광역시 중구 계산동2가 0200번지 현대백화점 식품관
5th row대구광역시 중구 남일동 0094-0001번지 지상1층
ValueCountFrequency (%)
대구광역시 2975
 
20.4%
달서구 590
 
4.0%
수성구 543
 
3.7%
북구 532
 
3.6%
중구 373
 
2.6%
동구 340
 
2.3%
서구 207
 
1.4%
1층 196
 
1.3%
달성군 194
 
1.3%
남구 194
 
1.3%
Other values (3349) 8465
57.9%
2023-12-11T03:35:34.415055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14339
18.1%
5900
 
7.5%
1 4243
 
5.4%
3630
 
4.6%
3480
 
4.4%
0 3216
 
4.1%
3062
 
3.9%
3007
 
3.8%
2988
 
3.8%
2937
 
3.7%
Other values (365) 32286
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44382
56.1%
Decimal Number 17372
 
22.0%
Space Separator 14339
 
18.1%
Dash Punctuation 2191
 
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 (%)
5900
 
13.3%
3630
 
8.2%
3480
 
7.8%
3062
 
6.9%
3007
 
6.8%
2988
 
6.7%
2937
 
6.6%
2252
 
5.1%
1149
 
2.6%
922
 
2.1%
Other values (326) 15055
33.9%
Uppercase Letter
ValueCountFrequency (%)
A 48
37.2%
B 21
16.3%
C 16
 
12.4%
S 7
 
5.4%
T 6
 
4.7%
K 6
 
4.7%
M 6
 
4.7%
P 4
 
3.1%
D 4
 
3.1%
E 2
 
1.6%
Other values (6) 9
 
7.0%
Decimal Number
ValueCountFrequency (%)
1 4243
24.4%
0 3216
18.5%
2 2075
11.9%
3 1463
 
8.4%
5 1253
 
7.2%
4 1224
 
7.0%
6 1095
 
6.3%
8 978
 
5.6%
7 921
 
5.3%
9 904
 
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 (%)
14339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44382
56.1%
Common 34571
43.7%
Latin 135
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5900
 
13.3%
3630
 
8.2%
3480
 
7.8%
3062
 
6.9%
3007
 
6.8%
2988
 
6.7%
2937
 
6.6%
2252
 
5.1%
1149
 
2.6%
922
 
2.1%
Other values (326) 15055
33.9%
Common
ValueCountFrequency (%)
14339
41.5%
1 4243
 
12.3%
0 3216
 
9.3%
- 2191
 
6.3%
2 2075
 
6.0%
3 1463
 
4.2%
5 1253
 
3.6%
4 1224
 
3.5%
6 1095
 
3.2%
8 978
 
2.8%
Other values (11) 2494
 
7.2%
Latin
ValueCountFrequency (%)
A 48
35.6%
B 21
15.6%
C 16
 
11.9%
S 7
 
5.2%
T 6
 
4.4%
K 6
 
4.4%
M 6
 
4.4%
e 5
 
3.7%
P 4
 
3.0%
D 4
 
3.0%
Other values (8) 12
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44381
56.1%
ASCII 34705
43.9%
Compat Jamo 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14339
41.3%
1 4243
 
12.2%
0 3216
 
9.3%
- 2191
 
6.3%
2 2075
 
6.0%
3 1463
 
4.2%
5 1253
 
3.6%
4 1224
 
3.5%
6 1095
 
3.2%
8 978
 
2.8%
Other values (28) 2628
 
7.6%
Hangul
ValueCountFrequency (%)
5900
 
13.3%
3630
 
8.2%
3480
 
7.8%
3062
 
6.9%
3007
 
6.8%
2988
 
6.7%
2937
 
6.6%
2252
 
5.1%
1149
 
2.6%
922
 
2.1%
Other values (325) 15054
33.9%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Arrows
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct1975
Distinct (%)92.2%
Missing830
Missing (%)27.9%
Memory size23.4 KiB
2023-12-11T03:35:34.988296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length31.631825
Min length20

Characters and Unicode

Total characters67787
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

Unique1903 ?
Unique (%)88.8%

Sample

1st row대구광역시 중구 명덕로 333 (대봉동, 대백프라자 식품관)
2nd row대구광역시 중구 동성로 3 (동성로3가, 지상1층)
3rd row대구광역시 중구 중앙대로 394-8 (동성로3가, 지상1층)
4th row대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)
5th row대구광역시 중구 중앙대로 406-14 (남일동, 지상1층)
ValueCountFrequency (%)
대구광역시 2144
 
16.0%
1층 683
 
5.1%
달서구 447
 
3.3%
북구 389
 
2.9%
수성구 365
 
2.7%
중구 288
 
2.1%
동구 255
 
1.9%
달구벌대로 181
 
1.3%
달성군 152
 
1.1%
남구 139
 
1.0%
Other values (2289) 8372
62.4%
2023-12-11T03:35:35.872848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11272
 
16.6%
4622
 
6.8%
1 3342
 
4.9%
3087
 
4.6%
3056
 
4.5%
2238
 
3.3%
2202
 
3.2%
2155
 
3.2%
2131
 
3.1%
) 2129
 
3.1%
Other values (391) 31553
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39116
57.7%
Space Separator 11272
 
16.6%
Decimal Number 10719
 
15.8%
Close Punctuation 2129
 
3.1%
Open Punctuation 2129
 
3.1%
Other Punctuation 2013
 
3.0%
Dash Punctuation 252
 
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 (%)
4622
 
11.8%
3087
 
7.9%
3056
 
7.8%
2238
 
5.7%
2202
 
5.6%
2155
 
5.5%
2131
 
5.4%
1149
 
2.9%
967
 
2.5%
895
 
2.3%
Other values (342) 16614
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%
K 5
 
4.3%
H 5
 
4.3%
D 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%
r 1
 
4.2%
m 1
 
4.2%
d 1
 
4.2%
l 1
 
4.2%
t 1
 
4.2%
o 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 3342
31.2%
2 1478
13.8%
0 1223
 
11.4%
3 971
 
9.1%
4 778
 
7.3%
5 721
 
6.7%
6 644
 
6.0%
7 630
 
5.9%
9 475
 
4.4%
8 457
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2001
99.4%
. 9
 
0.4%
/ 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 14
82.4%
+ 3
 
17.6%
Space Separator
ValueCountFrequency (%)
11272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39116
57.7%
Common 28531
42.1%
Latin 140
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4622
 
11.8%
3087
 
7.9%
3056
 
7.8%
2238
 
5.7%
2202
 
5.6%
2155
 
5.5%
2131
 
5.4%
1149
 
2.9%
967
 
2.5%
895
 
2.3%
Other values (342) 16614
42.5%
Latin
ValueCountFrequency (%)
A 35
25.0%
B 19
13.6%
C 12
 
8.6%
e 8
 
5.7%
M 8
 
5.7%
S 7
 
5.0%
K 5
 
3.6%
H 5
 
3.6%
D 5
 
3.6%
L 3
 
2.1%
Other values (20) 33
23.6%
Common
ValueCountFrequency (%)
11272
39.5%
1 3342
 
11.7%
) 2129
 
7.5%
( 2129
 
7.5%
, 2001
 
7.0%
2 1478
 
5.2%
0 1223
 
4.3%
3 971
 
3.4%
4 778
 
2.7%
5 721
 
2.5%
Other values (9) 2487
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39116
57.7%
ASCII 28671
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11272
39.3%
1 3342
 
11.7%
) 2129
 
7.4%
( 2129
 
7.4%
, 2001
 
7.0%
2 1478
 
5.2%
0 1223
 
4.3%
3 971
 
3.4%
4 778
 
2.7%
5 721
 
2.5%
Other values (39) 2627
 
9.2%
Hangul
ValueCountFrequency (%)
4622
 
11.8%
3087
 
7.9%
3056
 
7.8%
2238
 
5.7%
2202
 
5.6%
2155
 
5.5%
2131
 
5.4%
1149
 
2.9%
967
 
2.5%
895
 
2.3%
Other values (342) 16614
42.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct774
Distinct (%)36.4%
Missing848
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean42064.516
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:36.145765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41143
Q141559
median42025
Q342628
95-th percentile42927
Maximum43024
Range2022
Interquartile range (IQR)1069

Descriptive statistics

Standard deviation570.48063
Coefficient of variation (CV)0.013562039
Kurtosis-1.147528
Mean42064.516
Median Absolute Deviation (MAD)506
Skewness-0.051196797
Sum89387097
Variance325448.15
MonotonicityNot monotonic
2023-12-11T03:35:36.389094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41936 77
 
2.6%
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%
42760 13
 
0.4%
41422 13
 
0.4%
Other values (764) 1868
62.8%
(Missing) 848
28.5%
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%
Distinct2344
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-11T03:35:36.900332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length7.4917592
Min length1

Characters and Unicode

Total characters22273
Distinct characters680
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

Unique2044 ?
Unique (%)68.8%

Sample

1st row(주)그랑제리바이코트도르
2nd row쥬시박스 동성로점
3rd row블랑드프랑
4th row땡스베이글
5th row키세키
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%
대백베이커리 17
 
0.5%
뉴욕베이커리 17
 
0.5%
바리에떼 13
 
0.4%
Other values (2459) 3242
90.8%
2023-12-11T03:35:37.636014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1168
 
5.2%
983
 
4.4%
918
 
4.1%
762
 
3.4%
711
 
3.2%
599
 
2.7%
407
 
1.8%
) 377
 
1.7%
( 376
 
1.7%
376
 
1.7%
Other values (670) 15596
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19567
87.9%
Lowercase Letter 612
 
2.7%
Space Separator 599
 
2.7%
Uppercase Letter 537
 
2.4%
Close Punctuation 377
 
1.7%
Open Punctuation 376
 
1.7%
Decimal Number 168
 
0.8%
Other Punctuation 29
 
0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1168
 
6.0%
983
 
5.0%
918
 
4.7%
762
 
3.9%
711
 
3.6%
407
 
2.1%
376
 
1.9%
339
 
1.7%
323
 
1.7%
295
 
1.5%
Other values (600) 13285
67.9%
Lowercase Letter
ValueCountFrequency (%)
e 90
14.7%
a 67
10.9%
o 63
 
10.3%
n 42
 
6.9%
i 40
 
6.5%
r 37
 
6.0%
k 31
 
5.1%
c 27
 
4.4%
s 26
 
4.2%
t 24
 
3.9%
Other values (15) 165
27.0%
Uppercase Letter
ValueCountFrequency (%)
E 51
 
9.5%
B 50
 
9.3%
A 46
 
8.6%
R 41
 
7.6%
K 41
 
7.6%
O 39
 
7.3%
M 29
 
5.4%
N 28
 
5.2%
S 25
 
4.7%
T 25
 
4.7%
Other values (14) 162
30.2%
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 (%)
599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 377
100.0%
Open Punctuation
ValueCountFrequency (%)
( 376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19559
87.8%
Common 1556
 
7.0%
Latin 1150
 
5.2%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1168
 
6.0%
983
 
5.0%
918
 
4.7%
762
 
3.9%
711
 
3.6%
407
 
2.1%
376
 
1.9%
339
 
1.7%
323
 
1.7%
295
 
1.5%
Other values (593) 13277
67.9%
Latin
ValueCountFrequency (%)
e 90
 
7.8%
a 67
 
5.8%
o 63
 
5.5%
E 51
 
4.4%
B 50
 
4.3%
A 46
 
4.0%
n 42
 
3.7%
R 41
 
3.6%
K 41
 
3.6%
i 40
 
3.5%
Other values (40) 619
53.8%
Common
ValueCountFrequency (%)
599
38.5%
) 377
24.2%
( 376
24.2%
2 46
 
3.0%
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 19559
87.8%
ASCII 2705
 
12.1%
CJK 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1168
 
6.0%
983
 
5.0%
918
 
4.7%
762
 
3.9%
711
 
3.6%
407
 
2.1%
376
 
1.9%
339
 
1.7%
323
 
1.7%
295
 
1.5%
Other values (593) 13277
67.9%
ASCII
ValueCountFrequency (%)
599
22.1%
) 377
13.9%
( 376
 
13.9%
e 90
 
3.3%
a 67
 
2.5%
o 63
 
2.3%
E 51
 
1.9%
B 50
 
1.8%
2 46
 
1.7%
A 46
 
1.7%
Other values (59) 940
34.8%
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)

Distinct2735
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0140987 × 1013
Minimum2.001081 × 1013
Maximum2.0220729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:37.867451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001081 × 1013
5-th percentile2.0020924 × 1013
Q12.0090713 × 1013
median2.0160329 × 1013
Q32.0200608 × 1013
95-th percentile2.0220309 × 1013
Maximum2.0220729 × 1013
Range2.0991917 × 1011
Interquartile range (IQR)1.0989502 × 1011

Descriptive statistics

Standard deviation6.4826475 × 1010
Coefficient of variation (CV)0.0032186345
Kurtosis-1.0467432
Mean2.0140987 × 1013
Median Absolute Deviation (MAD)4.9972992 × 1010
Skewness-0.50856117
Sum5.9879153 × 1016
Variance4.2024718 × 1021
MonotonicityNot monotonic
2023-12-11T03:35:38.087666image/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%
20011130000000 5
 
0.2%
Other values (2725) 2863
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 (%)
20220729171144 1
< 0.1%
20220729041509 1
< 0.1%
20220728093919 1
< 0.1%
20220727103135 1
< 0.1%
20220725173540 1
< 0.1%
20220722173746 1
< 0.1%
20220722173449 1
< 0.1%
20220721142208 1
< 0.1%
20220721124625 1
< 0.1%
20220719174300 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
I
1935 
U
1038 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1935
65.1%
U 1038
34.9%

Length

2023-12-11T03:35:38.308808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:38.483218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1935
65.1%
u 1038
34.9%
Distinct657
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-31 02:40:00
2023-12-11T03:35:38.679239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:35:38.942008image/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 size23.4 KiB
제과점영업
2971 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993273
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 2971
99.9%
푸드트럭 2
 
0.1%

Length

2023-12-11T03:35:39.195853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:39.348757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 2971
99.9%
푸드트럭 2
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2066
Distinct (%)71.4%
Missing81
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean343088.67
Minimum327860.09
Maximum358046.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:39.547065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327860.09
5-th percentile334631.45
Q1339566.97
median343588.74
Q3346185.29
95-th percentile353605.88
Maximum358046.4
Range30186.309
Interquartile range (IQR)6618.3267

Descriptive statistics

Standard deviation5204.0927
Coefficient of variation (CV)0.015168361
Kurtosis0.26475004
Mean343088.67
Median Absolute Deviation (MAD)3448.5064
Skewness0.10438205
Sum9.9221243 × 108
Variance27082581
MonotonicityNot monotonic
2023-12-11T03:35:39.775036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343588.735555 73
 
2.5%
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%
347008.880529 12
 
0.4%
343705.561002 12
 
0.4%
339047.793379 12
 
0.4%
347060.417753 10
 
0.3%
Other values (2056) 2651
89.2%
(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%
329894.345198 1
< 0.1%
329898.834237 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 

Distinct2065
Distinct (%)71.4%
Missing81
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263313.96
Minimum240452.6
Maximum277860.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:40.017387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile257445.67
Q1261191.1
median263371.67
Q3265328.47
95-th percentile271424.34
Maximum277860.93
Range37408.331
Interquartile range (IQR)4137.3716

Descriptive statistics

Standard deviation4448.4922
Coefficient of variation (CV)0.016894252
Kurtosis4.2642149
Mean263313.96
Median Absolute Deviation (MAD)2035.7334
Skewness-0.87437872
Sum7.6150396 × 108
Variance19789083
MonotonicityNot monotonic
2023-12-11T03:35:40.252469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264119.01075 73
 
2.5%
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%
258741.90218 12
 
0.4%
265530.003516 12
 
0.4%
264056.630949 12
 
0.4%
265732.622769 10
 
0.3%
Other values (2055) 2651
89.2%
(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 size23.4 KiB
제과점영업
2971 
푸드트럭
 
2

Length

Max length5
Median length5
Mean length4.9993273
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 2971
99.9%
푸드트럭 2
 
0.1%

Length

2023-12-11T03:35:40.551949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:40.716017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 2971
99.9%
푸드트럭 2
 
0.1%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.7%
Missing1382
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean0.45505971
Minimum0
Maximum17
Zeros1135
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:40.869123image/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 deviation1.0095571
Coefficient of variation (CV)2.2185156
Kurtosis66.900379
Mean0.45505971
Median Absolute Deviation (MAD)0
Skewness5.8604286
Sum724
Variance1.0192055
MonotonicityNot monotonic
2023-12-11T03:35:41.097823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1135
38.2%
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) 1382
46.5%
ValueCountFrequency (%)
0 1135
38.2%
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%
Missing1303
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean0.66886228
Minimum0
Maximum47
Zeros1092
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:41.312966image/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 deviation1.6933736
Coefficient of variation (CV)2.5317223
Kurtosis345.11915
Mean0.66886228
Median Absolute Deviation (MAD)0
Skewness14.008882
Sum1117
Variance2.867514
MonotonicityNot monotonic
2023-12-11T03:35:41.502774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 1092
36.7%
1 318
 
10.7%
2 155
 
5.2%
3 58
 
2.0%
4 16
 
0.5%
5 10
 
0.3%
6 10
 
0.3%
7 5
 
0.2%
47 1
 
< 0.1%
11 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 1303
43.8%
ValueCountFrequency (%)
0 1092
36.7%
1 318
 
10.7%
2 155
 
5.2%
3 58
 
2.0%
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 size23.4 KiB
<NA>
1260 
기타
880 
주택가주변
395 
아파트지역
349 
유흥업소밀집지역
 
50
Other values (3)
 
39

Length

Max length8
Median length7
Mean length3.7776657
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1260
42.4%
기타 880
29.6%
주택가주변 395
 
13.3%
아파트지역 349
 
11.7%
유흥업소밀집지역 50
 
1.7%
학교정화(상대) 29
 
1.0%
학교정화(절대) 9
 
0.3%
결혼예식장주변 1
 
< 0.1%

Length

2023-12-11T03:35:41.714039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:42.298137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1260
42.4%
기타 880
29.6%
주택가주변 395
 
13.3%
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 size23.4 KiB
<NA>
2092 
자율
643 
기타
235 
 
3

Length

Max length4
Median length4
Mean length3.4063236
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2092
70.4%
자율 643
 
21.6%
기타 235
 
7.9%
3
 
0.1%

Length

2023-12-11T03:35:42.537065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:42.727911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2092
70.4%
자율 643
 
21.6%
기타 235
 
7.9%
3
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
상수도전용
2280 
<NA>
690 
전용상수도(특정시설의 자가용 수도)
 
2
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length19
Median length5
Mean length4.7813656
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2280
76.7%
<NA> 690
 
23.2%
전용상수도(특정시설의 자가용 수도) 2
 
0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2023-12-11T03:35:42.937405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:43.125351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2280
76.6%
na 690
 
23.2%
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 size23.4 KiB
<NA>
2609 
0
364 

Length

Max length4
Median length4
Mean length3.6326942
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2609
87.8%
0 364
 
12.2%

Length

2023-12-11T03:35:43.313325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:43.485074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2609
87.8%
0 364
 
12.2%

본사직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2602 
0
371 

Length

Max length4
Median length4
Mean length3.6256307
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2602
87.5%
0 371
 
12.5%

Length

2023-12-11T03:35:43.660385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:43.819457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2602
87.5%
0 371
 
12.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2602 
0
371 

Length

Max length4
Median length4
Mean length3.6256307
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2602
87.5%
0 371
 
12.5%

Length

2023-12-11T03:35:43.987547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:44.176637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2602
87.5%
0 371
 
12.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2602 
0
371 

Length

Max length4
Median length4
Mean length3.6256307
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2602
87.5%
0 371
 
12.5%

Length

2023-12-11T03:35:44.347044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:44.526047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2602
87.5%
0 371
 
12.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2602 
0
371 

Length

Max length4
Median length4
Mean length3.6256307
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2602
87.5%
0 371
 
12.5%

Length

2023-12-11T03:35:44.729174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:44.893688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2602
87.5%
0 371
 
12.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2602 
0
371 

Length

Max length4
Median length4
Mean length3.6256307
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2602
87.5%
0 371
 
12.5%

Length

2023-12-11T03:35:45.070514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:45.255893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2602
87.5%
0 371
 
12.5%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2602 
0
371 

Length

Max length4
Median length4
Mean length3.6256307
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2602
87.5%
0 371
 
12.5%

Length

2023-12-11T03:35:45.444060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:45.604686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2602
87.5%
0 371
 
12.5%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
False
2933 
True
 
40
ValueCountFrequency (%)
False 2933
98.7%
True 40
 
1.3%
2023-12-11T03:35:45.778731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct1885
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.775274
Minimum0
Maximum1300
Zeros141
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T03:35:45.964183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.44
Q123.1
median35.26
Q356.4
95-th percentile116.408
Maximum1300
Range1300
Interquartile range (IQR)33.3

Descriptive statistics

Standard deviation53.777941
Coefficient of variation (CV)1.1497087
Kurtosis138.79214
Mean46.775274
Median Absolute Deviation (MAD)14.86
Skewness8.4758403
Sum139062.89
Variance2892.067
MonotonicityNot monotonic
2023-12-11T03:35:46.206471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 141
 
4.7%
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%
32.0 11
 
0.4%
27.0 11
 
0.4%
Other values (1875) 2703
90.9%
ValueCountFrequency (%)
0.0 141
4.7%
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%
401.85 1
< 0.1%
381.9 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2973
Missing (%)100.0%
Memory size26.3 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01제과점영업07_22_18_P34100003410000-121-2016-0000420160401<NA>3폐업2폐업20180109<NA><NA><NA><NA>140.16700718대구광역시 중구 대봉동 0214번지 대백프라자 식품관대구광역시 중구 명덕로 333 (대봉동, 대백프라자 식품관)41953(주)그랑제리바이코트도르20180109171106I2018-08-31 23:59:59.0제과점영업345032.238221262949.871621제과점영업<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N140.16<NA><NA><NA>
12제과점영업07_22_18_P34100003410000-121-2016-0000520160412<NA>3폐업2폐업20161121<NA><NA><NA>053 257339315.74700093대구광역시 중구 동성로3가 0027-0004번지 지상1층대구광역시 중구 동성로 3 (동성로3가, 지상1층)41937쥬시박스 동성로점20160715123148I2018-08-31 23:59:59.0제과점영업343889.809365264202.807753제과점영업11기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N15.74<NA><NA><NA>
23제과점영업07_22_18_P34100003410000-121-2016-0000720160422<NA>3폐업2폐업20170929<NA><NA><NA><NA>105.01700093대구광역시 중구 동성로3가 0016-0010번지 지상1층대구광역시 중구 중앙대로 394-8 (동성로3가, 지상1층)41937블랑드프랑20170929102711I2018-08-31 23:59:59.0제과점영업343894.182285264267.970948제과점영업22기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N105.01<NA><NA><NA>
34제과점영업07_22_18_P34100003410000-121-2016-0000920160426<NA>3폐업2폐업20160512<NA><NA><NA><NA><NA>700082대구광역시 중구 계산동2가 0200번지 현대백화점 식품관대구광역시 중구 달구벌대로 2077 (계산동2가, 현대백화점 식품관)41936땡스베이글20160426164533I2018-08-31 23:59:59.0제과점영업343588.735555264119.01075제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
45제과점영업07_22_18_P34100003410000-121-2016-0001020160429<NA>3폐업2폐업20180518<NA><NA><NA>053 424874725.92700060대구광역시 중구 남일동 0094-0001번지 지상1층대구광역시 중구 중앙대로 406-14 (남일동, 지상1층)41937키세키20180518163042I2018-08-31 23:59:59.0제과점영업343938.33559264400.984778제과점영업<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N25.92<NA><NA><NA>
56제과점영업07_22_18_P34100003410000-121-2016-0001120160503<NA>3폐업2폐업20211007<NA><NA><NA>053 424202532.55700823대구광역시 중구 봉산동 0037-0015 지상1층대구광역시 중구 동성로1길 46-26 (봉산동, 지상1층)41943빠다롤뺑프랑스20211007150209U2021-10-09 02:40:00.0제과점영업343984.381766264045.733058제과점영업22기타자율상수도전용00000<NA>00N32.55<NA><NA><NA>
67제과점영업07_22_18_P34100003410000-121-2016-0001320160705<NA>3폐업2폐업20171207<NA><NA><NA>053 431030041.70700822대구광역시 중구 봉산동 0033-0001번지 지상1층대구광역시 중구 동성로1길 47 (봉산동, 지상1층)41942요고타르트20171207175259I2018-08-31 23:59:59.0제과점영업344086.421015264046.40316제과점영업22기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N41.7<NA><NA><NA>
78제과점영업07_22_18_P34100003410000-121-2016-0001520160721<NA>3폐업2폐업20180906<NA><NA><NA><NA>69.42700847대구광역시 중구 동인동4가 0247-0005번지 지상1층대구광역시 중구 동덕로30길 63-4 (동인동4가, 지상1층)41945빵장수꽈배기 동인지점20180906113524U2018-09-06 23:59:59.0제과점영업345107.305348264161.720179제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N69.42<NA><NA><NA>
89제과점영업07_22_18_P34100003410000-121-2016-0001620160801<NA>3폐업2폐업20180125<NA><NA><NA><NA>33.64700813대구광역시 중구 대봉동 0632-0002번지 지상1층대구광역시 중구 명덕로 243 (대봉동, 지상1층)41962모모20180125155921I2018-08-31 23:59:59.0제과점영업344180.890971262983.785368제과점영업<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N33.64<NA><NA><NA>
910제과점영업07_22_18_P34100003410000-121-2016-0001720160829<NA>3폐업2폐업20190830<NA><NA><NA><NA>44.82700413대구광역시 중구 삼덕동3가 270-2번지 지상1층대구광역시 중구 달구벌대로447길 44-28 (삼덕동3가, 지상1층)41948삼덕동베이커리까페20190830103012U2019-09-01 02:40:00.0제과점영업345285.258246263835.432669제과점영업<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N44.82<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
29632964제과점영업07_22_18_P34800003480000-121-2014-0000320140630<NA>1영업/정상1영업<NA><NA><NA><NA>053 586 840781.88711815대구광역시 달성군 다사읍 죽곡리 210번지대구광역시 달성군 다사읍 죽곡1길 10, 1층 105,106호42918알벤토20140718130942I2018-08-31 23:59:59.0제과점영업332151.152125262911.528096제과점영업<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N81.88<NA><NA><NA>
29642965제과점영업07_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>
29652966제과점영업07_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, 1~2층42923양과부띠끄엘20220118092418U2022-01-20 02:40:00.0제과점영업335138.716049264584.919088제과점영업00기타<NA>상수도전용00000<NA>00Y285.0<NA><NA><NA>
29662967제과점영업07_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>
29672968제과점영업07_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>
29682969제과점영업07_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>
29692970제과점영업07_22_18_P34800003480000-121-2016-0000120160201<NA>1영업/정상1영업<NA><NA><NA><NA><NA>73.60711842대구광역시 달성군 옥포면 강림리 1123번지대구광역시 달성군 옥포면 돌미로2서길 8, 1층 104,105호42974뚜레쥬르 대구옥포점20180619103117I2018-08-31 23:59:59.0제과점영업329894.345198254196.774067제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N73.6<NA><NA><NA>
29702971제과점영업07_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>
29712972제과점영업07_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)20201210144428U2020-12-12 02:40:00.0제과점영업331608.0244625.0제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N91.93<NA><NA><NA>
29722973제과점영업07_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>