Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells100361
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory410.0 B

Variable types

Numeric9
Categorical19
Text6
DateTime4
Unsupported8
Boolean1

Dataset

Description23년06월_6270000_대구광역시_07_24_04_P_일반음식점
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098697&dataSetDetailId=DDI_0000098762&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
등급구분명 is highly imbalanced (54.9%)Imbalance
급수시설구분명 is highly imbalanced (67.8%)Imbalance
다중이용업소여부 is highly imbalanced (77.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 3469 (34.7%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 2894 (28.9%) missing valuesMissing
소재지면적 has 172 (1.7%) missing valuesMissing
소재지우편번호 has 182 (1.8%) missing valuesMissing
도로명전체주소 has 3509 (35.1%) missing valuesMissing
도로명우편번호 has 3606 (36.1%) missing valuesMissing
좌표정보(X) has 455 (4.5%) missing valuesMissing
좌표정보(Y) has 455 (4.5%) missing valuesMissing
남성종사자수 has 2852 (28.5%) missing valuesMissing
여성종사자수 has 2766 (27.7%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (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
소재지면적 has 179 (1.8%) zerosZeros
남성종사자수 has 5985 (59.9%) zerosZeros
여성종사자수 has 5683 (56.8%) zerosZeros
시설총규모 has 270 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-17 16:22:30.944242
Analysis finished2024-04-17 16:22:32.928358
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44058.439
Minimum1
Maximum87483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:32.984840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4647.9
Q122362.25
median44024
Q365983.25
95-th percentile83529.1
Maximum87483
Range87482
Interquartile range (IQR)43621

Descriptive statistics

Standard deviation25327.938
Coefficient of variation (CV)0.57487143
Kurtosis-1.2003822
Mean44058.439
Median Absolute Deviation (MAD)21808.5
Skewness-0.0026592366
Sum4.4058439 × 108
Variance6.4150444 × 108
MonotonicityNot monotonic
2024-04-18T01:22:33.085566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39688 1
 
< 0.1%
75366 1
 
< 0.1%
68804 1
 
< 0.1%
29458 1
 
< 0.1%
65709 1
 
< 0.1%
2363 1
 
< 0.1%
49358 1
 
< 0.1%
11881 1
 
< 0.1%
72031 1
 
< 0.1%
87411 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
24 1
< 0.1%
33 1
< 0.1%
56 1
< 0.1%
66 1
< 0.1%
73 1
< 0.1%
75 1
< 0.1%
78 1
< 0.1%
79 1
< 0.1%
109 1
< 0.1%
ValueCountFrequency (%)
87483 1
< 0.1%
87469 1
< 0.1%
87466 1
< 0.1%
87439 1
< 0.1%
87431 1
< 0.1%
87426 1
< 0.1%
87424 1
< 0.1%
87422 1
< 0.1%
87419 1
< 0.1%
87411 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2024-04-18T01:22:33.179171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:33.247403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_04_P
2nd row07_24_04_P
3rd row07_24_04_P
4th row07_24_04_P
5th row07_24_04_P

Common Values

ValueCountFrequency (%)
07_24_04_P 10000
100.0%

Length

2024-04-18T01:22:33.316225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:33.382941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447809
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:33.444327image/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 deviation21851.711
Coefficient of variation (CV)0.0063378542
Kurtosis-1.1633353
Mean3447809
Median Absolute Deviation (MAD)20000
Skewness-0.29980882
Sum3.447809 × 1010
Variance4.7749727 × 108
MonotonicityNot monotonic
2024-04-18T01:22:33.527497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2030
20.3%
3450000 1619
16.2%
3460000 1559
15.6%
3420000 1309
13.1%
3410000 927
9.3%
3430000 923
9.2%
3480000 826
8.3%
3440000 807
 
8.1%
ValueCountFrequency (%)
3410000 927
9.3%
3420000 1309
13.1%
3430000 923
9.2%
3440000 807
 
8.1%
3450000 1619
16.2%
3460000 1559
15.6%
3470000 2030
20.3%
3480000 826
8.3%
ValueCountFrequency (%)
3480000 826
8.3%
3470000 2030
20.3%
3460000 1559
15.6%
3450000 1619
16.2%
3440000 807
 
8.1%
3430000 923
9.2%
3420000 1309
13.1%
3410000 927
9.3%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T01:22:33.685987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3450000-101-2000-00705
2nd row3480000-101-2004-00036
3rd row3410000-101-1994-00028
4th row3420000-101-2021-00367
5th row3480000-101-2010-00157
ValueCountFrequency (%)
3450000-101-2000-00705 1
 
< 0.1%
3420000-101-2001-00159 1
 
< 0.1%
3410000-101-1974-00005 1
 
< 0.1%
3460000-101-2017-00190 1
 
< 0.1%
3470000-101-1993-00055 1
 
< 0.1%
3440000-101-1994-00032 1
 
< 0.1%
3470000-101-1999-00363 1
 
< 0.1%
3410000-101-1999-00194 1
 
< 0.1%
3460000-101-2018-00358 1
 
< 0.1%
3470000-101-2022-00481 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T01:22:33.945686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88863
40.4%
1 31966
 
14.5%
- 30000
 
13.6%
2 16413
 
7.5%
3 14909
 
6.8%
4 14298
 
6.5%
9 5530
 
2.5%
7 4973
 
2.3%
5 4678
 
2.1%
6 4468
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88863
46.8%
1 31966
 
16.8%
2 16413
 
8.6%
3 14909
 
7.8%
4 14298
 
7.5%
9 5530
 
2.9%
7 4973
 
2.6%
5 4678
 
2.5%
6 4468
 
2.4%
8 3902
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88863
40.4%
1 31966
 
14.5%
- 30000
 
13.6%
2 16413
 
7.5%
3 14909
 
6.8%
4 14298
 
6.5%
9 5530
 
2.5%
7 4973
 
2.3%
5 4678
 
2.1%
6 4468
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88863
40.4%
1 31966
 
14.5%
- 30000
 
13.6%
2 16413
 
7.5%
3 14909
 
6.8%
4 14298
 
6.5%
9 5530
 
2.5%
7 4973
 
2.3%
5 4678
 
2.1%
6 4468
 
2.0%
Distinct5587
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1966-07-27 00:00:00
Maximum2023-06-29 00:00:00
2024-04-18T01:22:34.052623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:22:34.154531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6531 
1
3469 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6531
65.3%
1 3469
34.7%

Length

2024-04-18T01:22:34.252741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:34.321971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6531
65.3%
1 3469
34.7%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6531 
영업/정상
3469 

Length

Max length5
Median length2
Mean length3.0407
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6531
65.3%
영업/정상 3469
34.7%

Length

2024-04-18T01:22:34.399695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:34.474287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6531
65.3%
영업/정상 3469
34.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6531 
1
3469 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6531
65.3%
1 3469
34.7%

Length

2024-04-18T01:22:34.546207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:34.612066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6531
65.3%
1 3469
34.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6531 
영업
3469 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6531
65.3%
영업 3469
34.7%

Length

2024-04-18T01:22:34.686557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:34.755235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6531
65.3%
영업 3469
34.7%

폐업일자
Date

MISSING 

Distinct3619
Distinct (%)55.4%
Missing3469
Missing (%)34.7%
Memory size156.2 KiB
Minimum2000-01-27 00:00:00
Maximum2023-06-28 00:00:00
2024-04-18T01:22:34.834440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:22:34.937675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct7062
Distinct (%)99.4%
Missing2894
Missing (%)28.9%
Memory size156.2 KiB
2024-04-18T01:22:35.214051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.605122
Min length6

Characters and Unicode

Total characters75360
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

Unique7022 ?
Unique (%)98.8%

Sample

1st row9553892
2nd row053 6383339
3rd row053 2560371
4th row053 743 3542
5th row053 759 4433
ValueCountFrequency (%)
053 5472
37.6%
611 41
 
0.3%
070 37
 
0.3%
622 26
 
0.2%
766 24
 
0.2%
765 23
 
0.2%
621 22
 
0.2%
615 21
 
0.1%
591 21
 
0.1%
588 20
 
0.1%
Other values (6972) 8833
60.7%
2024-04-18T01:22:35.599769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 12836
17.0%
3 11082
14.7%
0 9883
13.1%
7547
10.0%
2 5935
7.9%
6 5573
7.4%
7 4927
 
6.5%
9 4625
 
6.1%
4 4377
 
5.8%
8 4350
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 67813
90.0%
Space Separator 7547
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12836
18.9%
3 11082
16.3%
0 9883
14.6%
2 5935
8.8%
6 5573
8.2%
7 4927
 
7.3%
9 4625
 
6.8%
4 4377
 
6.5%
8 4350
 
6.4%
1 4225
 
6.2%
Space Separator
ValueCountFrequency (%)
7547
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 12836
17.0%
3 11082
14.7%
0 9883
13.1%
7547
10.0%
2 5935
7.9%
6 5573
7.4%
7 4927
 
6.5%
9 4625
 
6.1%
4 4377
 
5.8%
8 4350
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 12836
17.0%
3 11082
14.7%
0 9883
13.1%
7547
10.0%
2 5935
7.9%
6 5573
7.4%
7 4927
 
6.5%
9 4625
 
6.1%
4 4377
 
5.8%
8 4350
 
5.8%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct5521
Distinct (%)56.2%
Missing172
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean75.779777
Minimum0
Maximum1935.11
Zeros179
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:35.718935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.1505
Q129.24
median48.3
Q386.2125
95-th percentile221.6895
Maximum1935.11
Range1935.11
Interquartile range (IQR)56.9725

Descriptive statistics

Standard deviation100.3997
Coefficient of variation (CV)1.3248878
Kurtosis81.113315
Mean75.779777
Median Absolute Deviation (MAD)23.14
Skewness6.8970921
Sum744763.65
Variance10080.1
MonotonicityNot monotonic
2024-04-18T01:22:35.823633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 179
 
1.8%
33.0 39
 
0.4%
30.0 38
 
0.4%
36.0 31
 
0.3%
25.0 27
 
0.3%
28.0 25
 
0.2%
40.0 24
 
0.2%
45.0 24
 
0.2%
24.0 24
 
0.2%
23.1 23
 
0.2%
Other values (5511) 9394
93.9%
(Missing) 172
 
1.7%
ValueCountFrequency (%)
0.0 179
1.8%
1.0 1
 
< 0.1%
2.24 1
 
< 0.1%
2.55 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 3
 
< 0.1%
4.0 1
 
< 0.1%
4.38 1
 
< 0.1%
4.6 1
 
< 0.1%
5.0 1
 
< 0.1%
ValueCountFrequency (%)
1935.11 1
< 0.1%
1880.0 1
< 0.1%
1799.0 1
< 0.1%
1797.19 1
< 0.1%
1710.27 1
< 0.1%
1681.8 1
< 0.1%
1486.67 1
< 0.1%
1339.48 1
< 0.1%
1199.0 1
< 0.1%
1173.2 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct659
Distinct (%)6.7%
Missing182
Missing (%)1.8%
Memory size156.2 KiB
2024-04-18T01:22:36.093996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters68726
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

Unique99 ?
Unique (%)1.0%

Sample

1st row702-838
2nd row711-834
3rd row700-440
4th row701-869
5th row711-861
ValueCountFrequency (%)
704-080 114
 
1.2%
706-801 104
 
1.1%
706-170 102
 
1.0%
711-852 91
 
0.9%
704-060 89
 
0.9%
702-040 86
 
0.9%
700-411 84
 
0.9%
704-910 75
 
0.8%
702-886 68
 
0.7%
706-800 68
 
0.7%
Other values (649) 8937
91.0%
2024-04-18T01:22:36.455155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14526
21.1%
7 11026
16.0%
- 9818
14.3%
8 8095
11.8%
1 5954
8.7%
2 4598
 
6.7%
4 4384
 
6.4%
3 3489
 
5.1%
6 2842
 
4.1%
5 2219
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58908
85.7%
Dash Punctuation 9818
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14526
24.7%
7 11026
18.7%
8 8095
13.7%
1 5954
10.1%
2 4598
 
7.8%
4 4384
 
7.4%
3 3489
 
5.9%
6 2842
 
4.8%
5 2219
 
3.8%
9 1775
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 9818
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68726
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14526
21.1%
7 11026
16.0%
- 9818
14.3%
8 8095
11.8%
1 5954
8.7%
2 4598
 
6.7%
4 4384
 
6.4%
3 3489
 
5.1%
6 2842
 
4.1%
5 2219
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14526
21.1%
7 11026
16.0%
- 9818
14.3%
8 8095
11.8%
1 5954
8.7%
2 4598
 
6.7%
4 4384
 
6.4%
3 3489
 
5.1%
6 2842
 
4.1%
5 2219
 
3.2%
Distinct9500
Distinct (%)95.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T01:22:36.731809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length58
Mean length24.381538
Min length16

Characters and Unicode

Total characters243791
Distinct characters424
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9096 ?
Unique (%)91.0%

Sample

1st row대구광역시 북구 산격동 1067-1번지
2nd row대구광역시 달성군 화원읍 천내리 156-1번지 외 1필지
3rd row대구광역시 중구 남산동 2270-26번지 ,-25,2(지상1층)
4th row대구광역시 동구 신서동 534-1
5th row대구광역시 달성군 가창면 냉천리 2-26번지 1층
ValueCountFrequency (%)
대구광역시 9999
22.0%
달서구 2032
 
4.5%
북구 1618
 
3.6%
수성구 1558
 
3.4%
동구 1309
 
2.9%
중구 927
 
2.0%
서구 921
 
2.0%
달성군 827
 
1.8%
남구 807
 
1.8%
지상1층 586
 
1.3%
Other values (10143) 24860
54.7%
2024-04-18T01:22:37.119207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45103
18.5%
19444
 
8.0%
1 12905
 
5.3%
11266
 
4.6%
11078
 
4.5%
10157
 
4.2%
10028
 
4.1%
10018
 
4.1%
- 8625
 
3.5%
8422
 
3.5%
Other values (414) 96745
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132742
54.4%
Decimal Number 54543
22.4%
Space Separator 45103
 
18.5%
Dash Punctuation 8625
 
3.5%
Open Punctuation 937
 
0.4%
Close Punctuation 936
 
0.4%
Other Punctuation 571
 
0.2%
Uppercase Letter 281
 
0.1%
Lowercase Letter 29
 
< 0.1%
Math Symbol 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19444
14.6%
11266
 
8.5%
11078
 
8.3%
10157
 
7.7%
10028
 
7.6%
10018
 
7.5%
8422
 
6.3%
6765
 
5.1%
3202
 
2.4%
3172
 
2.4%
Other values (357) 39190
29.5%
Uppercase Letter
ValueCountFrequency (%)
A 96
34.2%
B 53
18.9%
T 18
 
6.4%
C 16
 
5.7%
S 12
 
4.3%
R 11
 
3.9%
E 11
 
3.9%
M 10
 
3.6%
P 7
 
2.5%
G 7
 
2.5%
Other values (10) 40
14.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
27.6%
p 3
 
10.3%
a 3
 
10.3%
y 2
 
6.9%
o 2
 
6.9%
u 2
 
6.9%
m 2
 
6.9%
i 1
 
3.4%
s 1
 
3.4%
l 1
 
3.4%
Other values (4) 4
13.8%
Decimal Number
ValueCountFrequency (%)
1 12905
23.7%
0 7954
14.6%
2 6700
12.3%
3 5215
9.6%
4 4413
 
8.1%
5 4057
 
7.4%
6 3474
 
6.4%
8 3423
 
6.3%
7 3283
 
6.0%
9 3119
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 523
91.6%
. 31
 
5.4%
@ 7
 
1.2%
/ 7
 
1.2%
: 2
 
0.4%
· 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 22
91.7%
> 1
 
4.2%
< 1
 
4.2%
Space Separator
ValueCountFrequency (%)
45103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8625
100.0%
Open Punctuation
ValueCountFrequency (%)
( 937
100.0%
Close Punctuation
ValueCountFrequency (%)
) 936
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132742
54.4%
Common 110739
45.4%
Latin 310
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19444
14.6%
11266
 
8.5%
11078
 
8.3%
10157
 
7.7%
10028
 
7.6%
10018
 
7.5%
8422
 
6.3%
6765
 
5.1%
3202
 
2.4%
3172
 
2.4%
Other values (357) 39190
29.5%
Latin
ValueCountFrequency (%)
A 96
31.0%
B 53
17.1%
T 18
 
5.8%
C 16
 
5.2%
S 12
 
3.9%
R 11
 
3.5%
E 11
 
3.5%
M 10
 
3.2%
e 8
 
2.6%
P 7
 
2.3%
Other values (24) 68
21.9%
Common
ValueCountFrequency (%)
45103
40.7%
1 12905
 
11.7%
- 8625
 
7.8%
0 7954
 
7.2%
2 6700
 
6.1%
3 5215
 
4.7%
4 4413
 
4.0%
5 4057
 
3.7%
6 3474
 
3.1%
8 3423
 
3.1%
Other values (13) 8870
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132742
54.4%
ASCII 111048
45.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45103
40.6%
1 12905
 
11.6%
- 8625
 
7.8%
0 7954
 
7.2%
2 6700
 
6.0%
3 5215
 
4.7%
4 4413
 
4.0%
5 4057
 
3.7%
6 3474
 
3.1%
8 3423
 
3.1%
Other values (46) 9179
 
8.3%
Hangul
ValueCountFrequency (%)
19444
14.6%
11266
 
8.5%
11078
 
8.3%
10157
 
7.7%
10028
 
7.6%
10018
 
7.5%
8422
 
6.3%
6765
 
5.1%
3202
 
2.4%
3172
 
2.4%
Other values (357) 39190
29.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct6240
Distinct (%)96.1%
Missing3509
Missing (%)35.1%
Memory size156.2 KiB
2024-04-18T01:22:37.419785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length56
Mean length28.783084
Min length19

Characters and Unicode

Total characters186831
Distinct characters440
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6044 ?
Unique (%)93.1%

Sample

1st row대구광역시 동구 동호로5길 23, 1층 (신서동)
2nd row대구광역시 달성군 가창면 가창로176길 21, 1층
3rd row대구광역시 달서구 공원순환로 201, 대구문화예술회관 야외음악당 (성당동)
4th row대구광역시 남구 대명로 238, 1층 (대명동)
5th row대구광역시 달성군 다사읍 대실역북로1길 5-5
ValueCountFrequency (%)
대구광역시 6491
 
17.2%
1층 2157
 
5.7%
달서구 1307
 
3.5%
북구 1032
 
2.7%
수성구 1005
 
2.7%
동구 865
 
2.3%
중구 610
 
1.6%
달성군 607
 
1.6%
남구 536
 
1.4%
서구 529
 
1.4%
Other values (4577) 22658
59.9%
2024-04-18T01:22:37.827671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31314
 
16.8%
13296
 
7.1%
1 9062
 
4.9%
8534
 
4.6%
8339
 
4.5%
6691
 
3.6%
6565
 
3.5%
6507
 
3.5%
6261
 
3.4%
) 6252
 
3.3%
Other values (430) 84010
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106626
57.1%
Space Separator 31314
 
16.8%
Decimal Number 30043
 
16.1%
Close Punctuation 6252
 
3.3%
Open Punctuation 6252
 
3.3%
Other Punctuation 4493
 
2.4%
Dash Punctuation 1516
 
0.8%
Uppercase Letter 270
 
0.1%
Math Symbol 40
 
< 0.1%
Lowercase Letter 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13296
 
12.5%
8534
 
8.0%
8339
 
7.8%
6691
 
6.3%
6565
 
6.2%
6507
 
6.1%
6261
 
5.9%
3529
 
3.3%
3277
 
3.1%
2594
 
2.4%
Other values (377) 41033
38.5%
Uppercase Letter
ValueCountFrequency (%)
A 86
31.9%
B 56
20.7%
C 18
 
6.7%
D 15
 
5.6%
S 11
 
4.1%
T 11
 
4.1%
G 10
 
3.7%
E 10
 
3.7%
R 8
 
3.0%
M 8
 
3.0%
Other values (11) 37
13.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
28.0%
p 3
12.0%
y 2
 
8.0%
u 2
 
8.0%
m 2
 
8.0%
o 2
 
8.0%
a 2
 
8.0%
i 1
 
4.0%
t 1
 
4.0%
h 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 9062
30.2%
2 4332
14.4%
3 3138
 
10.4%
0 2324
 
7.7%
4 2322
 
7.7%
5 2204
 
7.3%
6 1990
 
6.6%
7 1740
 
5.8%
9 1477
 
4.9%
8 1454
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 4466
99.4%
. 22
 
0.5%
· 2
 
< 0.1%
/ 2
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
31314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1516
100.0%
Math Symbol
ValueCountFrequency (%)
~ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106626
57.1%
Common 79910
42.8%
Latin 295
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13296
 
12.5%
8534
 
8.0%
8339
 
7.8%
6691
 
6.3%
6565
 
6.2%
6507
 
6.1%
6261
 
5.9%
3529
 
3.3%
3277
 
3.1%
2594
 
2.4%
Other values (377) 41033
38.5%
Latin
ValueCountFrequency (%)
A 86
29.2%
B 56
19.0%
C 18
 
6.1%
D 15
 
5.1%
S 11
 
3.7%
T 11
 
3.7%
G 10
 
3.4%
E 10
 
3.4%
R 8
 
2.7%
M 8
 
2.7%
Other values (23) 62
21.0%
Common
ValueCountFrequency (%)
31314
39.2%
1 9062
 
11.3%
) 6252
 
7.8%
( 6252
 
7.8%
, 4466
 
5.6%
2 4332
 
5.4%
3 3138
 
3.9%
0 2324
 
2.9%
4 2322
 
2.9%
5 2204
 
2.8%
Other values (10) 8244
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106626
57.1%
ASCII 80203
42.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31314
39.0%
1 9062
 
11.3%
) 6252
 
7.8%
( 6252
 
7.8%
, 4466
 
5.6%
2 4332
 
5.4%
3 3138
 
3.9%
0 2324
 
2.9%
4 2322
 
2.9%
5 2204
 
2.7%
Other values (42) 8537
 
10.6%
Hangul
ValueCountFrequency (%)
13296
 
12.5%
8534
 
8.0%
8339
 
7.8%
6691
 
6.3%
6565
 
6.2%
6507
 
6.1%
6261
 
5.9%
3529
 
3.3%
3277
 
3.1%
2594
 
2.4%
Other values (377) 41033
38.5%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1189
Distinct (%)18.6%
Missing3606
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean42077.866
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:38.145126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41111
Q141558
median42076.5
Q342644
95-th percentile42961
Maximum43024
Range2024
Interquartile range (IQR)1086

Descriptive statistics

Standard deviation590.56357
Coefficient of variation (CV)0.014035017
Kurtosis-1.1786648
Mean42077.866
Median Absolute Deviation (MAD)542.5
Skewness-0.10755592
Sum2.6904587 × 108
Variance348765.33
MonotonicityNot monotonic
2024-04-18T01:22:38.250250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41942 54
 
0.5%
41423 41
 
0.4%
41544 41
 
0.4%
43014 38
 
0.4%
41026 37
 
0.4%
42175 31
 
0.3%
42672 30
 
0.3%
43018 29
 
0.3%
42203 28
 
0.3%
41941 28
 
0.3%
Other values (1179) 6037
60.4%
(Missing) 3606
36.1%
ValueCountFrequency (%)
41000 9
0.1%
41001 5
0.1%
41002 8
0.1%
41003 5
0.1%
41005 3
 
< 0.1%
41006 1
 
< 0.1%
41007 2
 
< 0.1%
41008 1
 
< 0.1%
41009 6
0.1%
41015 1
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43023 1
 
< 0.1%
43022 1
 
< 0.1%
43020 4
 
< 0.1%
43019 2
 
< 0.1%
43018 29
0.3%
43017 27
0.3%
43016 1
 
< 0.1%
43015 1
 
< 0.1%
43014 38
0.4%
Distinct9053
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T01:22:38.548995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length5.756
Min length1

Characters and Unicode

Total characters57560
Distinct characters1087
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8443 ?
Unique (%)84.4%

Sample

1st row부촌치킨(산격점)
2nd row숯가마초벌구이
3rd row실로암
4th row여부초밥 각산점
5th row팔수식당
ValueCountFrequency (%)
식당 17
 
0.2%
다사점 14
 
0.1%
대구식당 12
 
0.1%
안동식당 11
 
0.1%
동성로점 11
 
0.1%
대성식당 11
 
0.1%
고향식당 10
 
0.1%
카페 10
 
0.1%
땅땅치킨 10
 
0.1%
상인점 10
 
0.1%
Other values (9517) 10948
99.0%
2024-04-18T01:22:38.961113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2189
 
3.8%
1915
 
3.3%
1262
 
2.2%
1143
 
2.0%
1067
 
1.9%
823
 
1.4%
764
 
1.3%
739
 
1.3%
710
 
1.2%
639
 
1.1%
Other values (1077) 46309
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52849
91.8%
Space Separator 1067
 
1.9%
Lowercase Letter 915
 
1.6%
Uppercase Letter 853
 
1.5%
Close Punctuation 571
 
1.0%
Open Punctuation 571
 
1.0%
Decimal Number 534
 
0.9%
Other Punctuation 175
 
0.3%
Dash Punctuation 15
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2189
 
4.1%
1915
 
3.6%
1262
 
2.4%
1143
 
2.2%
823
 
1.6%
764
 
1.4%
739
 
1.4%
710
 
1.3%
639
 
1.2%
549
 
1.0%
Other values (993) 42116
79.7%
Uppercase Letter
ValueCountFrequency (%)
B 93
 
10.9%
A 66
 
7.7%
O 63
 
7.4%
E 53
 
6.2%
S 50
 
5.9%
C 45
 
5.3%
D 38
 
4.5%
T 38
 
4.5%
R 36
 
4.2%
H 35
 
4.1%
Other values (16) 336
39.4%
Lowercase Letter
ValueCountFrequency (%)
e 124
13.6%
a 91
 
9.9%
o 89
 
9.7%
r 55
 
6.0%
n 53
 
5.8%
s 51
 
5.6%
t 50
 
5.5%
i 47
 
5.1%
l 40
 
4.4%
u 39
 
4.3%
Other values (15) 276
30.2%
Decimal Number
ValueCountFrequency (%)
0 94
17.6%
2 87
16.3%
1 86
16.1%
3 65
12.2%
9 49
9.2%
5 41
7.7%
8 37
 
6.9%
4 31
 
5.8%
6 23
 
4.3%
7 21
 
3.9%
Other Punctuation
ValueCountFrequency (%)
& 64
36.6%
. 56
32.0%
, 24
 
13.7%
' 9
 
5.1%
! 8
 
4.6%
/ 5
 
2.9%
· 3
 
1.7%
? 3
 
1.7%
; 2
 
1.1%
@ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 1
25.0%
~ 1
25.0%
> 1
25.0%
< 1
25.0%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
1067
100.0%
Close Punctuation
ValueCountFrequency (%)
) 571
100.0%
Open Punctuation
ValueCountFrequency (%)
( 571
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52815
91.8%
Common 2940
 
5.1%
Latin 1770
 
3.1%
Han 31
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2189
 
4.1%
1915
 
3.6%
1262
 
2.4%
1143
 
2.2%
823
 
1.6%
764
 
1.4%
739
 
1.4%
710
 
1.3%
639
 
1.2%
549
 
1.0%
Other values (964) 42082
79.7%
Latin
ValueCountFrequency (%)
e 124
 
7.0%
B 93
 
5.3%
a 91
 
5.1%
o 89
 
5.0%
A 66
 
3.7%
O 63
 
3.6%
r 55
 
3.1%
E 53
 
3.0%
n 53
 
3.0%
s 51
 
2.9%
Other values (43) 1032
58.3%
Common
ValueCountFrequency (%)
1067
36.3%
) 571
19.4%
( 571
19.4%
0 94
 
3.2%
2 87
 
3.0%
1 86
 
2.9%
3 65
 
2.2%
& 64
 
2.2%
. 56
 
1.9%
9 49
 
1.7%
Other values (20) 230
 
7.8%
Han
ValueCountFrequency (%)
3
 
9.7%
3
 
9.7%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (16) 16
51.6%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52814
91.8%
ASCII 4704
 
8.2%
CJK 29
 
0.1%
None 4
 
< 0.1%
Hiragana 4
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2189
 
4.1%
1915
 
3.6%
1262
 
2.4%
1143
 
2.2%
823
 
1.6%
764
 
1.4%
739
 
1.4%
710
 
1.3%
639
 
1.2%
549
 
1.0%
Other values (963) 42081
79.7%
ASCII
ValueCountFrequency (%)
1067
22.7%
) 571
 
12.1%
( 571
 
12.1%
e 124
 
2.6%
0 94
 
2.0%
B 93
 
2.0%
a 91
 
1.9%
o 89
 
1.9%
2 87
 
1.8%
1 86
 
1.8%
Other values (69) 1831
38.9%
None
ValueCountFrequency (%)
· 3
75.0%
1
 
25.0%
CJK
ValueCountFrequency (%)
3
 
10.3%
3
 
10.3%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (14) 14
48.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct8135
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2001-08-09 00:00:00
Maximum2023-06-29 17:12:24
2024-04-18T01:22:39.067724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:22:39.172882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
5963 
U
4037 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 5963
59.6%
U 4037
40.4%

Length

2024-04-18T01:22:39.270501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:39.340762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5963
59.6%
u 4037
40.4%
Distinct1275
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 02:40:00
2024-04-18T01:22:39.432305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:22:39.538312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4671 
기타
1065 
호프/통닭
717 
식육(숯불구이)
665 
경양식
501 
Other values (19)
2381 

Length

Max length15
Median length2
Mean length3.1462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row패스트푸드
2nd row한식
3rd row한식
4th row기타
5th row한식

Common Values

ValueCountFrequency (%)
한식 4671
46.7%
기타 1065
 
10.7%
호프/통닭 717
 
7.2%
식육(숯불구이) 665
 
6.7%
경양식 501
 
5.0%
분식 491
 
4.9%
통닭(치킨) 429
 
4.3%
중국식 371
 
3.7%
일식 264
 
2.6%
횟집 194
 
1.9%
Other values (14) 632
 
6.3%

Length

2024-04-18T01:22:39.645787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4671
46.7%
기타 1065
 
10.7%
호프/통닭 717
 
7.2%
식육(숯불구이 665
 
6.7%
경양식 501
 
5.0%
분식 491
 
4.9%
통닭(치킨 429
 
4.3%
중국식 371
 
3.7%
일식 264
 
2.6%
횟집 194
 
1.9%
Other values (14) 632
 
6.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct8145
Distinct (%)85.3%
Missing455
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean342661
Minimum324103.09
Maximum358123.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:39.739448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324103.09
5-th percentile332548.1
Q1339589.28
median342716.77
Q3346093.14
95-th percentile353078.14
Maximum358123.28
Range34020.191
Interquartile range (IQR)6503.8596

Descriptive statistics

Standard deviation5326.9127
Coefficient of variation (CV)0.015545722
Kurtosis0.38696335
Mean342661
Median Absolute Deviation (MAD)3257.1358
Skewness-0.066274759
Sum3.2706992 × 109
Variance28375999
MonotonicityNot monotonic
2024-04-18T01:22:39.859159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.241970286 16
 
0.2%
343588.735554802 14
 
0.1%
340741.823615544 13
 
0.1%
346064.124002668 10
 
0.1%
352335.045028381 10
 
0.1%
339243.983122111 8
 
0.1%
338687.880127266 8
 
0.1%
336128.86159594 8
 
0.1%
341033.179411491 8
 
0.1%
345032.238220744 7
 
0.1%
Other values (8135) 9443
94.4%
(Missing) 455
 
4.5%
ValueCountFrequency (%)
324103.087606046 1
< 0.1%
325742.887636156 1
< 0.1%
326154.899806889 1
< 0.1%
326170.117105966 1
< 0.1%
326205.731687037 1
< 0.1%
326480.028928063 1
< 0.1%
326534.608032675 1
< 0.1%
326671.313873917 1
< 0.1%
326942.021443506 1
< 0.1%
326973.064918388 1
< 0.1%
ValueCountFrequency (%)
358123.278317634 1
< 0.1%
358060.647418873 1
< 0.1%
358005.2526633 1
< 0.1%
357916.122671764 1
< 0.1%
357908.123249657 2
< 0.1%
357870.136201308 1
< 0.1%
357672.591920251 1
< 0.1%
356639.970172828 1
< 0.1%
356601.163559925 1
< 0.1%
356551.212774727 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct8145
Distinct (%)85.3%
Missing455
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean263044.24
Minimum237836.28
Maximum278377.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:39.972080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237836.28
5-th percentile256636.04
Q1261161.19
median263330.05
Q3265437.72
95-th percentile271033.96
Maximum278377.98
Range40541.695
Interquartile range (IQR)4276.5305

Descriptive statistics

Standard deviation4982.2953
Coefficient of variation (CV)0.018940902
Kurtosis4.9415102
Mean263044.24
Median Absolute Deviation (MAD)2143.8491
Skewness-1.3877618
Sum2.5107573 × 109
Variance24823266
MonotonicityNot monotonic
2024-04-18T01:22:40.079252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404336831 16
 
0.2%
264119.010750105 14
 
0.1%
262316.993409346 13
 
0.1%
260435.462131817 10
 
0.1%
260158.750203679 10
 
0.1%
268026.454530584 8
 
0.1%
261988.432192514 8
 
0.1%
262620.435474406 8
 
0.1%
262385.585115898 8
 
0.1%
262949.871621315 7
 
0.1%
Other values (8135) 9443
94.4%
(Missing) 455
 
4.5%
ValueCountFrequency (%)
237836.2819291 1
< 0.1%
238499.103171076 1
< 0.1%
238681.689197766 1
< 0.1%
238803.95194506 1
< 0.1%
239215.735475262 1
< 0.1%
239287.37854564 1
< 0.1%
239331.424896814 1
< 0.1%
239523.935659457 1
< 0.1%
240166.327670489 1
< 0.1%
240194.87280138 1
< 0.1%
ValueCountFrequency (%)
278377.976995209 2
< 0.1%
278318.296599061 1
< 0.1%
278232.384480716 1
< 0.1%
278202.544661006 1
< 0.1%
278149.55687422 1
< 0.1%
278116.527200231 1
< 0.1%
277949.20287308 1
< 0.1%
277924.244474462 2
< 0.1%
277908.198549455 1
< 0.1%
277832.87261472 1
< 0.1%

위생업태명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4671 
기타
1065 
호프/통닭
717 
식육(숯불구이)
665 
경양식
501 
Other values (19)
2381 

Length

Max length15
Median length2
Mean length3.1462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row패스트푸드
2nd row한식
3rd row한식
4th row기타
5th row한식

Common Values

ValueCountFrequency (%)
한식 4671
46.7%
기타 1065
 
10.7%
호프/통닭 717
 
7.2%
식육(숯불구이) 665
 
6.7%
경양식 501
 
5.0%
분식 491
 
4.9%
통닭(치킨) 429
 
4.3%
중국식 371
 
3.7%
일식 264
 
2.6%
횟집 194
 
1.9%
Other values (14) 632
 
6.3%

Length

2024-04-18T01:22:40.192938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4671
46.7%
기타 1065
 
10.7%
호프/통닭 717
 
7.2%
식육(숯불구이 665
 
6.7%
경양식 501
 
5.0%
분식 491
 
4.9%
통닭(치킨 429
 
4.3%
중국식 371
 
3.7%
일식 264
 
2.6%
횟집 194
 
1.9%
Other values (14) 632
 
6.3%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)0.2%
Missing2852
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean0.25097929
Minimum0
Maximum35
Zeros5985
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:40.273950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8947512
Coefficient of variation (CV)3.5650399
Kurtosis438.53538
Mean0.25097929
Median Absolute Deviation (MAD)0
Skewness15.043242
Sum1794
Variance0.8005797
MonotonicityNot monotonic
2024-04-18T01:22:40.359437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5985
59.9%
1 838
 
8.4%
2 214
 
2.1%
3 63
 
0.6%
4 20
 
0.2%
5 8
 
0.1%
6 5
 
0.1%
10 3
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
Other values (7) 7
 
0.1%
(Missing) 2852
28.5%
ValueCountFrequency (%)
0 5985
59.9%
1 838
 
8.4%
2 214
 
2.1%
3 63
 
0.6%
4 20
 
0.2%
5 8
 
0.1%
6 5
 
0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
25 1
 
< 0.1%
16 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 3
< 0.1%
9 1
 
< 0.1%
8 3
< 0.1%
7 2
< 0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.2%
Missing2766
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.38001106
Minimum0
Maximum40
Zeros5683
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:40.445063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0576072
Coefficient of variation (CV)2.7830959
Kurtosis305.82016
Mean0.38001106
Median Absolute Deviation (MAD)0
Skewness11.050063
Sum2749
Variance1.1185331
MonotonicityNot monotonic
2024-04-18T01:22:40.533441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5683
56.8%
1 874
 
8.7%
2 442
 
4.4%
3 145
 
1.5%
4 35
 
0.4%
5 20
 
0.2%
6 11
 
0.1%
7 8
 
0.1%
8 6
 
0.1%
9 3
 
< 0.1%
Other values (5) 7
 
0.1%
(Missing) 2766
27.7%
ValueCountFrequency (%)
0 5683
56.8%
1 874
 
8.7%
2 442
 
4.4%
3 145
 
1.5%
4 35
 
0.4%
5 20
 
0.2%
6 11
 
0.1%
7 8
 
0.1%
8 6
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
40 1
 
< 0.1%
19 1
 
< 0.1%
16 1
 
< 0.1%
14 1
 
< 0.1%
10 3
 
< 0.1%
9 3
 
< 0.1%
8 6
 
0.1%
7 8
 
0.1%
6 11
0.1%
5 20
0.2%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4542 
기타
2890 
주택가주변
1827 
아파트지역
 
442
유흥업소밀집지역
 
189
Other values (3)
 
110

Length

Max length8
Median length7
Mean length3.768
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4542
45.4%
기타 2890
28.9%
주택가주변 1827
18.3%
아파트지역 442
 
4.4%
유흥업소밀집지역 189
 
1.9%
학교정화(상대) 88
 
0.9%
학교정화(절대) 17
 
0.2%
결혼예식장주변 5
 
0.1%

Length

2024-04-18T01:22:40.632373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:40.717386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4542
45.4%
기타 2890
28.9%
주택가주변 1827
18.3%
아파트지역 442
 
4.4%
유흥업소밀집지역 189
 
1.9%
학교정화(상대 88
 
0.9%
학교정화(절대 17
 
0.2%
결혼예식장주변 5
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6355 
자율
2747 
기타
862 
우수
 
26
 
6
Other values (2)
 
4

Length

Max length4
Median length4
Mean length3.2704
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6355
63.5%
자율 2747
27.5%
기타 862
 
8.6%
우수 26
 
0.3%
6
 
0.1%
지도 3
 
< 0.1%
관리 1
 
< 0.1%

Length

2024-04-18T01:22:40.818243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:40.907769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6355
63.5%
자율 2747
27.5%
기타 862
 
8.6%
우수 26
 
0.3%
6
 
0.1%
지도 3
 
< 0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7592 
<NA>
2365 
지하수전용
 
29
간이상수도
 
9
상수도(음용)지하수(주방용)겸용
 
4

Length

Max length19
Median length5
Mean length4.7697
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7592
75.9%
<NA> 2365
 
23.6%
지하수전용 29
 
0.3%
간이상수도 9
 
0.1%
상수도(음용)지하수(주방용)겸용 4
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-18T01:22:41.003897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:41.108097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7592
75.9%
na 2365
 
23.6%
지하수전용 29
 
0.3%
간이상수도 9
 
0.1%
상수도(음용)지하수(주방용)겸용 4
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7929 
0
2071 

Length

Max length4
Median length4
Mean length3.3787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7929
79.3%
0 2071
 
20.7%

Length

2024-04-18T01:22:41.223630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:41.315945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7929
79.3%
0 2071
 
20.7%

본사직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7927 
0
2073 

Length

Max length4
Median length4
Mean length3.3781
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7927
79.3%
0 2073
 
20.7%

Length

2024-04-18T01:22:41.416155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:41.491100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7927
79.3%
0 2073
 
20.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7927 
0
2073 

Length

Max length4
Median length4
Mean length3.3781
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7927
79.3%
0 2073
 
20.7%

Length

2024-04-18T01:22:41.568859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:41.642658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7927
79.3%
0 2073
 
20.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7927 
0
2073 

Length

Max length4
Median length4
Mean length3.3781
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7927
79.3%
0 2073
 
20.7%

Length

2024-04-18T01:22:41.725060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:41.796824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7927
79.3%
0 2073
 
20.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7927 
0
2073 

Length

Max length4
Median length4
Mean length3.3781
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7927
79.3%
0 2073
 
20.7%

Length

2024-04-18T01:22:41.872158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:41.942914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7927
79.3%
0 2073
 
20.7%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

보증액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7927 
0
2073 

Length

Max length4
Median length4
Mean length3.3781
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7927
79.3%
0 2073
 
20.7%

Length

2024-04-18T01:22:42.018095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:42.089632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7927
79.3%
0 2073
 
20.7%

월세액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7927 
0
2073 

Length

Max length4
Median length4
Mean length3.3781
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7927
79.3%
0 2073
 
20.7%

Length

2024-04-18T01:22:42.167354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:22:42.237780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7927
79.3%
0 2073
 
20.7%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9641 
True
 
359
ValueCountFrequency (%)
False 9641
96.4%
True 359
 
3.6%
2024-04-18T01:22:42.302835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct5537
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.90296
Minimum0
Maximum1935.11
Zeros270
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T01:22:42.624109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.06
Q128.8575
median47.73
Q385.5
95-th percentile220.006
Maximum1935.11
Range1935.11
Interquartile range (IQR)56.6425

Descriptive statistics

Standard deviation99.822421
Coefficient of variation (CV)1.3326899
Kurtosis81.830254
Mean74.90296
Median Absolute Deviation (MAD)22.865
Skewness6.9161686
Sum749029.6
Variance9964.5157
MonotonicityNot monotonic
2024-04-18T01:22:42.731470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 270
 
2.7%
33.0 39
 
0.4%
30.0 38
 
0.4%
36.0 32
 
0.3%
25.0 27
 
0.3%
45.0 26
 
0.3%
24.0 25
 
0.2%
28.0 25
 
0.2%
23.1 24
 
0.2%
40.0 24
 
0.2%
Other values (5527) 9470
94.7%
ValueCountFrequency (%)
0.0 270
2.7%
1.0 1
 
< 0.1%
2.24 1
 
< 0.1%
2.55 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 3
 
< 0.1%
4.0 1
 
< 0.1%
4.38 1
 
< 0.1%
4.6 1
 
< 0.1%
5.0 1
 
< 0.1%
ValueCountFrequency (%)
1935.11 1
< 0.1%
1880.0 1
< 0.1%
1799.0 1
< 0.1%
1797.19 1
< 0.1%
1710.27 1
< 0.1%
1681.8 1
< 0.1%
1486.67 1
< 0.1%
1339.48 1
< 0.1%
1199.0 1
< 0.1%
1173.2 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3968739688일반음식점07_24_04_P34500003450000-101-2000-007052000-10-02<NA>3폐업2폐업2012-02-06<NA><NA><NA>955389223.4702-838대구광역시 북구 산격동 1067-1번지<NA><NA>부촌치킨(산격점)2010-10-27 16:01:51I2018-08-31 23:59:59패스트푸드344143.174357267017.835983패스트푸드00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N23.4<NA><NA><NA>
8170981710일반음식점07_24_04_P34800003480000-101-2004-000362004-04-27<NA>3폐업2폐업2007-11-05<NA><NA><NA>053 6383339139.6711-834대구광역시 달성군 화원읍 천내리 156-1번지 외 1필지<NA><NA>숯가마초벌구이2007-08-24 11:05:35I2018-08-31 23:59:59한식335275.679142257003.13035한식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N139.6<NA><NA><NA>
30153016일반음식점07_24_04_P34100003410000-101-1994-000281994-03-22<NA>3폐업2폐업2003-04-09<NA><NA><NA>053 256037124.18700-440대구광역시 중구 남산동 2270-26번지 ,-25,2(지상1층)<NA><NA>실로암2003-04-09 00:00:00I2018-08-31 23:59:59한식342477.706323263240.514917한식00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.18<NA><NA><NA>
1646716468일반음식점07_24_04_P34200003420000-101-2021-003672021-11-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>48.42701-869대구광역시 동구 신서동 534-1대구광역시 동구 동호로5길 23, 1층 (신서동)41087여부초밥 각산점2021-12-09 10:17:36U2021-12-11 02:40:00기타355709.189343264444.592411기타00<NA><NA>상수도전용00000<NA>00N48.42<NA><NA><NA>
8625286253일반음식점07_24_04_P34800003480000-101-2010-001572010-12-06<NA>1영업/정상1영업<NA><NA><NA><NA>053 743 3542415.0711-861대구광역시 달성군 가창면 냉천리 2-26번지 1층대구광역시 달성군 가창면 가창로176길 21, 1층42938팔수식당2018-02-15 07:39:41I2018-08-31 23:59:59한식347766.094938255558.363092한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N415.0<NA><NA><NA>
7243872439일반음식점07_24_04_P34700003470000-101-2019-002942019-07-09<NA>3폐업2폐업2019-07-22<NA><NA><NA><NA><NA>704-080대구광역시 달서구 성당동 187번지 대구광역시문화예술회관대구광역시 달서구 공원순환로 201, 대구문화예술회관 야외음악당 (성당동)42672림스치킨2019-07-22 15:45:37U2019-07-24 02:40:00기타340795.977161261627.701492기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
2916829169일반음식점07_24_04_P34400003440000-101-2017-000082017-02-03<NA>1영업/정상1영업<NA><NA><NA><NA>053 759 4433203.74705-803대구광역시 남구 대명동 332-3대구광역시 남구 대명로 238, 1층 (대명동)42450갈비명가황우리남구점2022-01-05 16:20:33U2022-01-07 02:40:00한식342948.659883261250.972215한식00기타<NA>상수도전용00000<NA>00N203.74<NA><NA><NA>
5287152872일반음식점07_24_04_P34600003460000-101-2001-001042001-04-13<NA>3폐업2폐업2002-11-26<NA><NA><NA>741663424.75706-807대구광역시 수성구 만촌동 883-35번지<NA><NA>멕시카나치킨남부체인점2002-02-20 00:00:00I2018-08-31 23:59:59기타349148.249663262285.355238기타00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.75<NA><NA><NA>
3821938220일반음식점07_24_04_P34500003450000-101-1999-003361999-12-04<NA>3폐업2폐업2003-01-28<NA><NA><NA>324925229.7702-886대구광역시 북구 동천동 915번지 (칠곡3차화성타운상가111호)<NA><NA>C.F(씨에프)치킨프라자2002-04-29 00:00:00I2018-08-31 23:59:59패스트푸드340824.250452271973.249974패스트푸드00아파트지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N29.7<NA><NA><NA>
8653086531일반음식점07_24_04_P34800003480000-101-2011-001292011-08-09<NA>1영업/정상1영업<NA><NA><NA><NA>053 585252099.85711-812대구광역시 달성군 다사읍 매곡리 1548-3대구광역시 달성군 다사읍 대실역북로1길 5-542914밥보다 맛있는2021-10-21 15:27:24U2021-10-23 02:40:00호프/통닭332373.889865263005.797781호프/통닭<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N99.85<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3430834309일반음식점07_24_04_P34400003440000-101-1998-001591998-09-19<NA>3폐업2폐업2012-02-01<NA><NA><NA>053 622 403057.38705-816대구광역시 남구 대명동 2142-3번지대구광역시 남구 양지로 135 (대명동)42408콜막창2011-11-10 16:53:47I2018-08-31 23:59:59정종/대포집/소주방342738.293354262483.956532정종/대포집/소주방00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N57.38<NA><NA><NA>
2549625497일반음식점07_24_04_P34300003430000-101-2007-000592007-04-09<NA>3폐업2폐업2014-12-04<NA><NA><NA>053 555300080.06703-802대구광역시 서구 내당동 65-8번지대구광역시 서구 달구벌대로 1821 (내당동)41863씨엘블루2014-01-27 13:30:16I2018-08-31 23:59:59경양식341183.300058263371.670936경양식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N80.06<NA><NA><NA>
4198541986일반음식점07_24_04_P34500003450000-101-2022-001192022-04-26<NA>3폐업2폐업2023-01-25<NA><NA><NA>053 984 888033.2702-130대구광역시 북구 연경동 1037-1대구광역시 북구 연경중앙로 4, 1층 101호 (연경동)41409동명카츠(연경점)2023-01-25 11:23:30U2023-01-27 02:40:00경양식345968.258047272596.916736경양식00기타<NA>상수도전용00000<NA>00N33.2<NA><NA><NA>
1346913470일반음식점07_24_04_P34200003420000-101-2016-001952016-06-08<NA>3폐업2폐업2019-02-18<NA><NA><NA>053982 0008115.0701-804대구광역시 동구 방촌동 1103-2번지 외 1필지대구광역시 동구 동촌로 274, A동 103호 (방촌동, 방촌미진코아)41164전주속풀이콩나물국밥보쌈2019-02-18 09:24:25U2019-02-20 02:40:00한식350685.592287265654.938856한식<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N115.0<NA><NA><NA>
4385243853일반음식점07_24_04_P34500003450000-101-2008-002052008-06-16<NA>3폐업2폐업2012-02-01<NA><NA><NA><NA>279.35702-845대구광역시 북구 산격동 1676번지<NA><NA>아람2008-12-30 14:53:24I2018-08-31 23:59:59한식345549.11017268620.845678한식43기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N279.35<NA><NA><NA>
8113881139일반음식점07_24_04_P34800003480000-101-1994-000581994-08-13<NA>3폐업2폐업2009-02-03<NA><NA><NA>053 768344344.1711-864대구광역시 달성군 가창면 용계리 31-1번지<NA><NA>용계기사식당2001-08-23 00:00:00I2018-08-31 23:59:59한식346623.194488257130.806647한식00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N44.1<NA><NA><NA>
7216772168일반음식점07_24_04_P34700003470000-101-2002-004972002-11-18<NA>3폐업2폐업2004-07-01<NA><NA><NA>0530585723498.5704-140대구광역시 달서구 이곡동 530-5번지 ,533-12(지상2층)<NA><NA>고령숯불식당2002-11-18 00:00:00I2018-08-31 23:59:59한식<NA><NA>한식00<NA>자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N98.5<NA><NA><NA>
3860338604일반음식점07_24_04_P34500003450000-101-2018-001092018-04-06<NA>3폐업2폐업2018-09-03<NA><NA><NA><NA>24.55702-808대구광역시 북구 구암동 693-3번지 1호대구광역시 북구 팔거천동로4길 27, 1층 1호 (구암동)41465은가네식당2018-09-03 10:13:54U2018-09-03 23:59:59한식340212.513954270692.425103한식<NA>2기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N24.55<NA><NA><NA>
1706017061일반음식점07_24_04_P34200003420000-101-2004-002142004-06-15<NA>1영업/정상1영업<NA><NA><NA><NA>053 743900479.8701-829대구광역시 동구 신천동 377-2번지대구광역시 동구 동부로30길 27-2 (신천동)41248대구신쭈꾸미2010-05-03 17:21:29I2018-08-31 23:59:59일식347063.356818265045.83096일식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N79.8<NA><NA><NA>
2127121272일반음식점07_24_04_P34300003430000-101-2002-023262002-07-26<NA>3폐업2폐업2009-07-03<NA><NA><NA>053 563256136.3703-806대구광역시 서구 내당동 900-1번지<NA><NA>충무회식당2009-01-23 16:26:16I2018-08-31 23:59:59중국식341821.483447263878.668426중국식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N36.3<NA><NA><NA>