Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells100654
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

Description23년05월_6270000_대구광역시_07_24_04_P_일반음식점
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098197&dataSetDetailId=DDI_0000098262&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
등급구분명 is highly imbalanced (50.7%)Imbalance
급수시설구분명 is highly imbalanced (63.9%)Imbalance
다중이용업소여부 is highly imbalanced (77.4%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 3547 (35.5%) 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 2933 (29.3%) missing valuesMissing
소재지면적 has 162 (1.6%) missing valuesMissing
소재지우편번호 has 173 (1.7%) missing valuesMissing
도로명전체주소 has 3523 (35.2%) missing valuesMissing
도로명우편번호 has 3611 (36.1%) missing valuesMissing
좌표정보(X) has 421 (4.2%) missing valuesMissing
좌표정보(Y) has 421 (4.2%) missing valuesMissing
남성종사자수 has 2989 (29.9%) missing valuesMissing
여성종사자수 has 2870 (28.7%) 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
여성종사자수 is highly skewed (γ1 = 26.40806895)Skewed
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 160 (1.6%) zerosZeros
남성종사자수 has 5834 (58.3%) zerosZeros
여성종사자수 has 5530 (55.3%) zerosZeros
시설총규모 has 244 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-18 02:40:42.222202
Analysis finished2024-04-18 02:40:45.061935
Duration2.84 seconds
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%
Mean43416.99
Minimum3
Maximum87223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:45.127803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4437.65
Q121645.5
median43049.5
Q365271.75
95-th percentile82661.7
Maximum87223
Range87220
Interquartile range (IQR)43626.25

Descriptive statistics

Standard deviation25162.93
Coefficient of variation (CV)0.57956414
Kurtosis-1.1988241
Mean43416.99
Median Absolute Deviation (MAD)21785
Skewness0.016353169
Sum4.341699 × 108
Variance6.3317305 × 108
MonotonicityNot monotonic
2024-04-18T11:40:45.255327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14781 1
 
< 0.1%
31854 1
 
< 0.1%
41449 1
 
< 0.1%
6690 1
 
< 0.1%
47466 1
 
< 0.1%
38652 1
 
< 0.1%
25714 1
 
< 0.1%
78683 1
 
< 0.1%
50677 1
 
< 0.1%
28661 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
7 1
< 0.1%
12 1
< 0.1%
23 1
< 0.1%
32 1
< 0.1%
42 1
< 0.1%
46 1
< 0.1%
49 1
< 0.1%
56 1
< 0.1%
60 1
< 0.1%
ValueCountFrequency (%)
87223 1
< 0.1%
87213 1
< 0.1%
87207 1
< 0.1%
87202 1
< 0.1%
87197 1
< 0.1%
87185 1
< 0.1%
87184 1
< 0.1%
87179 1
< 0.1%
87178 1
< 0.1%
87175 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

2024-04-18T11:40:45.379041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:45.460359image/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

2024-04-18T11:40:45.542705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:45.622754image/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%
Mean3447349
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:45.696859image/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 deviation21796.553
Coefficient of variation (CV)0.0063226998
Kurtosis-1.1854992
Mean3447349
Median Absolute Deviation (MAD)20000
Skewness-0.28406092
Sum3.447349 × 1010
Variance4.7508971 × 108
MonotonicityNot monotonic
2024-04-18T11:40:45.800710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2057
20.6%
3450000 1684
16.8%
3460000 1521
15.2%
3420000 1358
13.6%
3430000 956
9.6%
3410000 940
9.4%
3440000 748
 
7.5%
3480000 736
 
7.4%
ValueCountFrequency (%)
3410000 940
9.4%
3420000 1358
13.6%
3430000 956
9.6%
3440000 748
 
7.5%
3450000 1684
16.8%
3460000 1521
15.2%
3470000 2057
20.6%
3480000 736
 
7.4%
ValueCountFrequency (%)
3480000 736
 
7.4%
3470000 2057
20.6%
3460000 1521
15.2%
3450000 1684
16.8%
3440000 748
 
7.5%
3430000 956
9.6%
3420000 1358
13.6%
3410000 940
9.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T11:40:45.976806image/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 row3420000-101-2009-00247
2nd row3430000-101-2019-00142
3rd row3460000-101-2000-00951
4th row3420000-101-1993-00146
5th row3410000-101-2001-00147
ValueCountFrequency (%)
3420000-101-2009-00247 1
 
< 0.1%
3470000-101-2017-00156 1
 
< 0.1%
3460000-101-2000-02044 1
 
< 0.1%
3470000-101-2005-00236 1
 
< 0.1%
3450000-101-2012-00033 1
 
< 0.1%
3410000-101-2001-00354 1
 
< 0.1%
3450000-101-1993-00176 1
 
< 0.1%
3450000-101-2005-00348 1
 
< 0.1%
3430000-101-2021-00101 1
 
< 0.1%
3440000-101-2007-00094 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T11:40:46.263013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88953
40.4%
1 31823
 
14.5%
- 30000
 
13.6%
2 16379
 
7.4%
3 15101
 
6.9%
4 14164
 
6.4%
9 5494
 
2.5%
7 5108
 
2.3%
5 4778
 
2.2%
6 4469
 
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 88953
46.8%
1 31823
 
16.7%
2 16379
 
8.6%
3 15101
 
7.9%
4 14164
 
7.5%
9 5494
 
2.9%
7 5108
 
2.7%
5 4778
 
2.5%
6 4469
 
2.4%
8 3731
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88953
40.4%
1 31823
 
14.5%
- 30000
 
13.6%
2 16379
 
7.4%
3 15101
 
6.9%
4 14164
 
6.4%
9 5494
 
2.5%
7 5108
 
2.3%
5 4778
 
2.2%
6 4469
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88953
40.4%
1 31823
 
14.5%
- 30000
 
13.6%
2 16379
 
7.4%
3 15101
 
6.9%
4 14164
 
6.4%
9 5494
 
2.5%
7 5108
 
2.3%
5 4778
 
2.2%
6 4469
 
2.0%
Distinct5552
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1967-09-26 00:00:00
Maximum2023-05-30 00:00:00
2024-04-18T11:40:46.390822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:40:46.516873image/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
6453 
1
3547 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6453
64.5%
1 3547
35.5%

Length

2024-04-18T11:40:46.638679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:46.719992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6453
64.5%
1 3547
35.5%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6453 
영업/정상
3547 

Length

Max length5
Median length2
Mean length3.0641
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6453
64.5%
영업/정상 3547
35.5%

Length

2024-04-18T11:40:46.817149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:46.907378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6453
64.5%
영업/정상 3547
35.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6453 
1
3547 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6453
64.5%
1 3547
35.5%

Length

2024-04-18T11:40:46.993986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:47.073579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6453
64.5%
1 3547
35.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6453 
영업
3547 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6453
64.5%
영업 3547
35.5%

Length

2024-04-18T11:40:47.162206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:47.240944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6453
64.5%
영업 3547
35.5%

폐업일자
Date

MISSING 

Distinct3573
Distinct (%)55.4%
Missing3547
Missing (%)35.5%
Memory size156.2 KiB
Minimum1998-11-26 00:00:00
Maximum2023-05-31 00:00:00
2024-04-18T11:40:47.339403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:40:47.465096image/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 

Distinct7026
Distinct (%)99.4%
Missing2933
Missing (%)29.3%
Memory size156.2 KiB
2024-04-18T11:40:47.788188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.600396
Min length6

Characters and Unicode

Total characters74913
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

Unique6986 ?
Unique (%)98.9%

Sample

1st row7436980
2nd row053 9412041
3rd row053 2545857
4th row7664090
5th row053 795 1933
ValueCountFrequency (%)
053 5437
37.6%
611 32
 
0.2%
070 28
 
0.2%
965 24
 
0.2%
761 24
 
0.2%
741 22
 
0.2%
622 22
 
0.2%
964 22
 
0.2%
585 21
 
0.1%
323 21
 
0.1%
Other values (6932) 8811
60.9%
2024-04-18T11:40:48.225065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 12841
17.1%
3 10998
14.7%
0 9825
13.1%
7498
10.0%
2 5754
7.7%
6 5567
7.4%
7 4974
 
6.6%
9 4632
 
6.2%
4 4392
 
5.9%
8 4233
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 67415
90.0%
Space Separator 7498
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12841
19.0%
3 10998
16.3%
0 9825
14.6%
2 5754
8.5%
6 5567
8.3%
7 4974
 
7.4%
9 4632
 
6.9%
4 4392
 
6.5%
8 4233
 
6.3%
1 4199
 
6.2%
Space Separator
ValueCountFrequency (%)
7498
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 12841
17.1%
3 10998
14.7%
0 9825
13.1%
7498
10.0%
2 5754
7.7%
6 5567
7.4%
7 4974
 
6.6%
9 4632
 
6.2%
4 4392
 
5.9%
8 4233
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 12841
17.1%
3 10998
14.7%
0 9825
13.1%
7498
10.0%
2 5754
7.7%
6 5567
7.4%
7 4974
 
6.6%
9 4632
 
6.2%
4 4392
 
5.9%
8 4233
 
5.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct5499
Distinct (%)55.9%
Missing162
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean74.775352
Minimum0
Maximum2035.8
Zeros160
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:48.362011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.84
Q129.25
median48.2
Q385.84
95-th percentile206.036
Maximum2035.8
Range2035.8
Interquartile range (IQR)56.59

Descriptive statistics

Standard deviation99.9568
Coefficient of variation (CV)1.3367613
Kurtosis90.886279
Mean74.775352
Median Absolute Deviation (MAD)23
Skewness7.4245531
Sum735639.91
Variance9991.3619
MonotonicityNot monotonic
2024-04-18T11:40:48.500637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 160
 
1.6%
33.0 43
 
0.4%
30.0 35
 
0.4%
40.0 33
 
0.3%
36.0 31
 
0.3%
50.0 27
 
0.3%
26.4 26
 
0.3%
45.0 25
 
0.2%
28.0 24
 
0.2%
49.5 24
 
0.2%
Other values (5489) 9410
94.1%
(Missing) 162
 
1.6%
ValueCountFrequency (%)
0.0 160
1.6%
1.0 2
 
< 0.1%
2.4 1
 
< 0.1%
2.6 1
 
< 0.1%
3.0 1
 
< 0.1%
3.69 1
 
< 0.1%
4.4 1
 
< 0.1%
5.04 1
 
< 0.1%
6.0 2
 
< 0.1%
6.4 1
 
< 0.1%
ValueCountFrequency (%)
2035.8 1
< 0.1%
1882.85 1
< 0.1%
1847.62 1
< 0.1%
1773.9 1
< 0.1%
1710.27 1
< 0.1%
1547.4 1
< 0.1%
1455.3 1
< 0.1%
1339.48 1
< 0.1%
1251.6 1
< 0.1%
1248.0 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct671
Distinct (%)6.8%
Missing173
Missing (%)1.7%
Memory size156.2 KiB
2024-04-18T11:40:48.790574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters68789
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 row701-870
2nd row703-805
3rd row706-826
4th row701-814
5th row700-411
ValueCountFrequency (%)
704-080 124
 
1.3%
706-170 104
 
1.1%
704-060 98
 
1.0%
706-801 95
 
1.0%
702-040 95
 
1.0%
700-411 90
 
0.9%
711-852 87
 
0.9%
702-886 81
 
0.8%
704-817 73
 
0.7%
701-847 73
 
0.7%
Other values (661) 8907
90.6%
2024-04-18T11:40:49.187861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14689
21.4%
7 11041
16.1%
- 9827
14.3%
8 8058
11.7%
1 5755
 
8.4%
2 4604
 
6.7%
4 4552
 
6.6%
3 3465
 
5.0%
6 2866
 
4.2%
5 2143
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58962
85.7%
Dash Punctuation 9827
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14689
24.9%
7 11041
18.7%
8 8058
13.7%
1 5755
 
9.8%
2 4604
 
7.8%
4 4552
 
7.7%
3 3465
 
5.9%
6 2866
 
4.9%
5 2143
 
3.6%
9 1789
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 9827
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68789
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14689
21.4%
7 11041
16.1%
- 9827
14.3%
8 8058
11.7%
1 5755
 
8.4%
2 4604
 
6.7%
4 4552
 
6.6%
3 3465
 
5.0%
6 2866
 
4.2%
5 2143
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68789
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14689
21.4%
7 11041
16.1%
- 9827
14.3%
8 8058
11.7%
1 5755
 
8.4%
2 4604
 
6.7%
4 4552
 
6.6%
3 3465
 
5.0%
6 2866
 
4.2%
5 2143
 
3.1%
Distinct9487
Distinct (%)94.9%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T11:40:49.508549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length52
Mean length24.331333
Min length15

Characters and Unicode

Total characters243216
Distinct characters414
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9066 ?
Unique (%)90.7%

Sample

1st row대구광역시 동구 신서동 824번지
2nd row대구광역시 서구 내당동 340 내당광명아파트
3rd row대구광역시 수성구 범어동 1616번지
4th row대구광역시 동구 신암동 185-10번지
5th row대구광역시 중구 삼덕동1가 0052-0005번지 지상1층
ValueCountFrequency (%)
대구광역시 9995
22.1%
달서구 2056
 
4.5%
북구 1683
 
3.7%
수성구 1522
 
3.4%
동구 1357
 
3.0%
서구 956
 
2.1%
중구 939
 
2.1%
남구 748
 
1.7%
달성군 734
 
1.6%
지상1층 616
 
1.4%
Other values (10085) 24693
54.5%
2024-04-18T11:40:49.967299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44976
18.5%
19532
 
8.0%
1 12907
 
5.3%
11344
 
4.7%
11073
 
4.6%
10166
 
4.2%
10033
 
4.1%
10013
 
4.1%
- 8559
 
3.5%
8526
 
3.5%
Other values (404) 96087
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132431
54.4%
Decimal Number 54520
22.4%
Space Separator 44976
 
18.5%
Dash Punctuation 8559
 
3.5%
Open Punctuation 968
 
0.4%
Close Punctuation 962
 
0.4%
Other Punctuation 564
 
0.2%
Uppercase Letter 213
 
0.1%
Math Symbol 17
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19532
14.7%
11344
 
8.6%
11073
 
8.4%
10166
 
7.7%
10033
 
7.6%
10013
 
7.6%
8526
 
6.4%
6819
 
5.1%
3259
 
2.5%
3051
 
2.3%
Other values (359) 38615
29.2%
Uppercase Letter
ValueCountFrequency (%)
A 75
35.2%
B 47
22.1%
C 12
 
5.6%
S 10
 
4.7%
T 10
 
4.7%
K 8
 
3.8%
P 7
 
3.3%
O 7
 
3.3%
R 6
 
2.8%
M 5
 
2.3%
Other values (11) 26
 
12.2%
Decimal Number
ValueCountFrequency (%)
1 12907
23.7%
0 8062
14.8%
2 6777
12.4%
3 5173
9.5%
4 4236
 
7.8%
5 4163
 
7.6%
6 3466
 
6.4%
8 3338
 
6.1%
7 3311
 
6.1%
9 3087
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 507
89.9%
. 32
 
5.7%
/ 16
 
2.8%
@ 8
 
1.4%
& 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
a 1
 
25.0%
Space Separator
ValueCountFrequency (%)
44976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8559
100.0%
Open Punctuation
ValueCountFrequency (%)
( 968
100.0%
Close Punctuation
ValueCountFrequency (%)
) 962
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132431
54.4%
Common 110568
45.5%
Latin 217
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19532
14.7%
11344
 
8.6%
11073
 
8.4%
10166
 
7.7%
10033
 
7.6%
10013
 
7.6%
8526
 
6.4%
6819
 
5.1%
3259
 
2.5%
3051
 
2.3%
Other values (359) 38615
29.2%
Latin
ValueCountFrequency (%)
A 75
34.6%
B 47
21.7%
C 12
 
5.5%
S 10
 
4.6%
T 10
 
4.6%
K 8
 
3.7%
P 7
 
3.2%
O 7
 
3.2%
R 6
 
2.8%
M 5
 
2.3%
Other values (13) 30
 
13.8%
Common
ValueCountFrequency (%)
44976
40.7%
1 12907
 
11.7%
- 8559
 
7.7%
0 8062
 
7.3%
2 6777
 
6.1%
3 5173
 
4.7%
4 4236
 
3.8%
5 4163
 
3.8%
6 3466
 
3.1%
8 3338
 
3.0%
Other values (12) 8911
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132431
54.4%
ASCII 110785
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44976
40.6%
1 12907
 
11.7%
- 8559
 
7.7%
0 8062
 
7.3%
2 6777
 
6.1%
3 5173
 
4.7%
4 4236
 
3.8%
5 4163
 
3.8%
6 3466
 
3.1%
8 3338
 
3.0%
Other values (35) 9128
 
8.2%
Hangul
ValueCountFrequency (%)
19532
14.7%
11344
 
8.6%
11073
 
8.4%
10166
 
7.7%
10033
 
7.6%
10013
 
7.6%
8526
 
6.4%
6819
 
5.1%
3259
 
2.5%
3051
 
2.3%
Other values (359) 38615
29.2%

도로명전체주소
Text

MISSING 

Distinct6270
Distinct (%)96.8%
Missing3523
Missing (%)35.2%
Memory size156.2 KiB
2024-04-18T11:40:50.306935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length29.011888
Min length20

Characters and Unicode

Total characters187910
Distinct characters436
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

Unique6107 ?
Unique (%)94.3%

Sample

1st row대구광역시 동구 반야월북로 255 (신서동)
2nd row대구광역시 서구 평리로 214, 6동 지하 1층 15호 (내당동, 내당광명아파트)
3rd row대구광역시 중구 동성로4길 20-1 (삼덕동1가, 지상1층)
4th row대구광역시 달서구 달구벌대로251길 9, 1층 122호 (이곡동)
5th row대구광역시 수성구 들안로 106-1 (두산동)
ValueCountFrequency (%)
대구광역시 6476
 
17.1%
1층 2198
 
5.8%
달서구 1341
 
3.5%
북구 1105
 
2.9%
수성구 948
 
2.5%
동구 896
 
2.4%
중구 619
 
1.6%
달성군 559
 
1.5%
서구 542
 
1.4%
남구 466
 
1.2%
Other values (4670) 22779
60.1%
2024-04-18T11:40:50.801757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31462
 
16.7%
13311
 
7.1%
1 9330
 
5.0%
8495
 
4.5%
8470
 
4.5%
6690
 
3.6%
6558
 
3.5%
6491
 
3.5%
( 6340
 
3.4%
) 6340
 
3.4%
Other values (426) 84423
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107023
57.0%
Space Separator 31462
 
16.7%
Decimal Number 30315
 
16.1%
Open Punctuation 6340
 
3.4%
Close Punctuation 6340
 
3.4%
Other Punctuation 4595
 
2.4%
Dash Punctuation 1522
 
0.8%
Uppercase Letter 268
 
0.1%
Math Symbol 41
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13311
 
12.4%
8495
 
7.9%
8470
 
7.9%
6690
 
6.3%
6558
 
6.1%
6491
 
6.1%
6251
 
5.8%
3577
 
3.3%
3381
 
3.2%
2477
 
2.3%
Other values (380) 41322
38.6%
Uppercase Letter
ValueCountFrequency (%)
A 93
34.7%
B 61
22.8%
C 12
 
4.5%
S 11
 
4.1%
D 8
 
3.0%
R 8
 
3.0%
O 8
 
3.0%
K 8
 
3.0%
M 7
 
2.6%
E 7
 
2.6%
Other values (13) 45
16.8%
Decimal Number
ValueCountFrequency (%)
1 9330
30.8%
2 4388
14.5%
3 3015
 
9.9%
4 2395
 
7.9%
0 2386
 
7.9%
5 2241
 
7.4%
6 1987
 
6.6%
7 1703
 
5.6%
8 1472
 
4.9%
9 1398
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 4568
99.4%
. 20
 
0.4%
/ 4
 
0.1%
& 1
 
< 0.1%
· 1
 
< 0.1%
@ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
a 1
 
25.0%
Space Separator
ValueCountFrequency (%)
31462
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1522
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107023
57.0%
Common 80615
42.9%
Latin 272
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13311
 
12.4%
8495
 
7.9%
8470
 
7.9%
6690
 
6.3%
6558
 
6.1%
6491
 
6.1%
6251
 
5.8%
3577
 
3.3%
3381
 
3.2%
2477
 
2.3%
Other values (380) 41322
38.6%
Latin
ValueCountFrequency (%)
A 93
34.2%
B 61
22.4%
C 12
 
4.4%
S 11
 
4.0%
D 8
 
2.9%
R 8
 
2.9%
O 8
 
2.9%
K 8
 
2.9%
M 7
 
2.6%
E 7
 
2.6%
Other values (15) 49
18.0%
Common
ValueCountFrequency (%)
31462
39.0%
1 9330
 
11.6%
( 6340
 
7.9%
) 6340
 
7.9%
, 4568
 
5.7%
2 4388
 
5.4%
3 3015
 
3.7%
4 2395
 
3.0%
0 2386
 
3.0%
5 2241
 
2.8%
Other values (11) 8150
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107023
57.0%
ASCII 80886
43.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31462
38.9%
1 9330
 
11.5%
( 6340
 
7.8%
) 6340
 
7.8%
, 4568
 
5.6%
2 4388
 
5.4%
3 3015
 
3.7%
4 2395
 
3.0%
0 2386
 
2.9%
5 2241
 
2.8%
Other values (35) 8421
 
10.4%
Hangul
ValueCountFrequency (%)
13311
 
12.4%
8495
 
7.9%
8470
 
7.9%
6690
 
6.3%
6558
 
6.1%
6491
 
6.1%
6251
 
5.8%
3577
 
3.3%
3381
 
3.2%
2477
 
2.3%
Other values (380) 41322
38.6%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1164
Distinct (%)18.2%
Missing3611
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean42052.38
Minimum16380
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:50.934694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16380
5-th percentile41105
Q141544
median42016
Q342642
95-th percentile42962
Maximum43024
Range26644
Interquartile range (IQR)1098

Descriptive statistics

Standard deviation675.70621
Coefficient of variation (CV)0.016068204
Kurtosis324.56437
Mean42052.38
Median Absolute Deviation (MAD)545
Skewness-8.6123302
Sum2.6867265 × 108
Variance456578.88
MonotonicityNot monotonic
2024-04-18T11:40:51.065325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41544 56
 
0.6%
41942 55
 
0.5%
41423 45
 
0.4%
41465 33
 
0.3%
42612 32
 
0.3%
43014 30
 
0.3%
42614 29
 
0.3%
41951 29
 
0.3%
41026 28
 
0.3%
43018 28
 
0.3%
Other values (1154) 6024
60.2%
(Missing) 3611
36.1%
ValueCountFrequency (%)
16380 1
 
< 0.1%
41000 16
0.2%
41001 12
0.1%
41002 7
0.1%
41003 2
 
< 0.1%
41005 3
 
< 0.1%
41007 8
0.1%
41008 4
 
< 0.1%
41009 4
 
< 0.1%
41010 1
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43023 1
 
< 0.1%
43022 2
 
< 0.1%
43020 1
 
< 0.1%
43019 4
 
< 0.1%
43018 28
0.3%
43017 21
0.2%
43014 30
0.3%
43013 1
 
< 0.1%
43011 1
 
< 0.1%
Distinct9023
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T11:40:51.301465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length5.7404
Min length1

Characters and Unicode

Total characters57404
Distinct characters1084
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8406 ?
Unique (%)84.1%

Sample

1st row죽도자연산회센타
2nd row사루루
3rd row유성식당
4th row성주식당
5th row밀키웨이(Milky way)
ValueCountFrequency (%)
식당 30
 
0.3%
고향식당 16
 
0.1%
상인점 15
 
0.1%
동성로점 13
 
0.1%
coffee 12
 
0.1%
율하점 12
 
0.1%
동원식당 11
 
0.1%
호식이두마리치킨 11
 
0.1%
서울식당 10
 
0.1%
주식회사 10
 
0.1%
Other values (9528) 10947
98.7%
2024-04-18T11:40:51.668765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2242
 
3.9%
1959
 
3.4%
1219
 
2.1%
1134
 
2.0%
1087
 
1.9%
786
 
1.4%
752
 
1.3%
687
 
1.2%
676
 
1.2%
646
 
1.1%
Other values (1074) 46216
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52521
91.5%
Space Separator 1087
 
1.9%
Lowercase Letter 975
 
1.7%
Uppercase Letter 954
 
1.7%
Open Punctuation 574
 
1.0%
Close Punctuation 574
 
1.0%
Decimal Number 517
 
0.9%
Other Punctuation 180
 
0.3%
Dash Punctuation 12
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2242
 
4.3%
1959
 
3.7%
1219
 
2.3%
1134
 
2.2%
786
 
1.5%
752
 
1.4%
687
 
1.3%
676
 
1.3%
646
 
1.2%
573
 
1.1%
Other values (989) 41847
79.7%
Uppercase Letter
ValueCountFrequency (%)
O 105
 
11.0%
A 78
 
8.2%
B 71
 
7.4%
C 68
 
7.1%
E 60
 
6.3%
S 48
 
5.0%
T 44
 
4.6%
M 44
 
4.6%
N 43
 
4.5%
F 39
 
4.1%
Other values (16) 354
37.1%
Lowercase Letter
ValueCountFrequency (%)
e 142
14.6%
o 97
 
9.9%
a 85
 
8.7%
r 58
 
5.9%
n 55
 
5.6%
i 54
 
5.5%
s 53
 
5.4%
c 48
 
4.9%
l 42
 
4.3%
u 41
 
4.2%
Other values (15) 300
30.8%
Other Punctuation
ValueCountFrequency (%)
. 69
38.3%
& 51
28.3%
, 30
16.7%
! 7
 
3.9%
' 7
 
3.9%
· 5
 
2.8%
/ 4
 
2.2%
; 3
 
1.7%
: 2
 
1.1%
# 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 107
20.7%
1 78
15.1%
2 70
13.5%
3 63
12.2%
5 44
8.5%
9 41
 
7.9%
7 37
 
7.2%
8 32
 
6.2%
4 24
 
4.6%
6 21
 
4.1%
Math Symbol
ValueCountFrequency (%)
~ 1
25.0%
+ 1
25.0%
< 1
25.0%
> 1
25.0%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
1087
100.0%
Open Punctuation
ValueCountFrequency (%)
( 574
100.0%
Close Punctuation
ValueCountFrequency (%)
) 574
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52502
91.5%
Common 2953
 
5.1%
Latin 1930
 
3.4%
Han 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2242
 
4.3%
1959
 
3.7%
1219
 
2.3%
1134
 
2.2%
786
 
1.5%
752
 
1.4%
687
 
1.3%
676
 
1.3%
646
 
1.2%
573
 
1.1%
Other values (973) 41828
79.7%
Latin
ValueCountFrequency (%)
e 142
 
7.4%
O 105
 
5.4%
o 97
 
5.0%
a 85
 
4.4%
A 78
 
4.0%
B 71
 
3.7%
C 68
 
3.5%
E 60
 
3.1%
r 58
 
3.0%
n 55
 
2.8%
Other values (42) 1111
57.6%
Common
ValueCountFrequency (%)
1087
36.8%
( 574
19.4%
) 574
19.4%
0 107
 
3.6%
1 78
 
2.6%
2 70
 
2.4%
. 69
 
2.3%
3 63
 
2.1%
& 51
 
1.7%
5 44
 
1.5%
Other values (23) 236
 
8.0%
Han
ValueCountFrequency (%)
3
15.8%
2
 
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (6) 6
31.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52501
91.5%
ASCII 4875
 
8.5%
CJK 19
 
< 0.1%
None 5
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2242
 
4.3%
1959
 
3.7%
1219
 
2.3%
1134
 
2.2%
786
 
1.5%
752
 
1.4%
687
 
1.3%
676
 
1.3%
646
 
1.2%
573
 
1.1%
Other values (972) 41827
79.7%
ASCII
ValueCountFrequency (%)
1087
22.3%
( 574
 
11.8%
) 574
 
11.8%
e 142
 
2.9%
0 107
 
2.2%
O 105
 
2.2%
o 97
 
2.0%
a 85
 
1.7%
1 78
 
1.6%
A 78
 
1.6%
Other values (71) 1948
40.0%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
3
15.8%
2
 
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (6) 6
31.6%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct8184
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2001-08-10 00:00:00
Maximum2023-05-31 18:22:58
2024-04-18T11:40:51.796773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:40:51.936819image/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
6005 
U
3995 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6005
60.1%
U 3995
40.0%

Length

2024-04-18T11:40:52.058647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:52.138618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6005
60.1%
u 3995
40.0%
Distinct1258
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-02 02:40:00
2024-04-18T11:40:52.229555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:40:52.345830image/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
4793 
기타
1122 
호프/통닭
655 
식육(숯불구이)
626 
경양식
547 
Other values (19)
2257 

Length

Max length15
Median length2
Mean length3.103
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row횟집
2nd row한식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4793
47.9%
기타 1122
 
11.2%
호프/통닭 655
 
6.6%
식육(숯불구이) 626
 
6.3%
경양식 547
 
5.5%
분식 467
 
4.7%
통닭(치킨) 428
 
4.3%
중국식 355
 
3.5%
일식 247
 
2.5%
정종/대포집/소주방 185
 
1.8%
Other values (14) 575
 
5.8%

Length

2024-04-18T11:40:52.465823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4793
47.9%
기타 1122
 
11.2%
호프/통닭 655
 
6.6%
식육(숯불구이 626
 
6.3%
경양식 547
 
5.5%
분식 467
 
4.7%
통닭(치킨 428
 
4.3%
중국식 355
 
3.5%
일식 247
 
2.5%
정종/대포집/소주방 185
 
1.8%
Other values (14) 575
 
5.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct8171
Distinct (%)85.3%
Missing421
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean342743.91
Minimum194646.91
Maximum358479.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:52.579280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum194646.91
5-th percentile333177
Q1339626.53
median342682.34
Q3346173.1
95-th percentile353286.41
Maximum358479.25
Range163832.33
Interquartile range (IQR)6546.5721

Descriptive statistics

Standard deviation5569.0932
Coefficient of variation (CV)0.016248555
Kurtosis52.125037
Mean342743.91
Median Absolute Deviation (MAD)3259.46
Skewness-1.939812
Sum3.2831439 × 109
Variance31014800
MonotonicityNot monotonic
2024-04-18T11:40:52.706724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.241970286 14
 
0.1%
343588.735554802 10
 
0.1%
338687.880127266 10
 
0.1%
342582.197988377 10
 
0.1%
340741.823615544 9
 
0.1%
341033.179411491 9
 
0.1%
356353.915440362 9
 
0.1%
346064.124002668 9
 
0.1%
344236.113274865 9
 
0.1%
346064.130562224 8
 
0.1%
Other values (8161) 9482
94.8%
(Missing) 421
 
4.2%
ValueCountFrequency (%)
194646.914639846 1
< 0.1%
323859.830021514 1
< 0.1%
326154.899806889 1
< 0.1%
326155.6926356 1
< 0.1%
326205.731687037 1
< 0.1%
326246.263739928 1
< 0.1%
326482.426447939 1
< 0.1%
326755.194077405 1
< 0.1%
327115.47112362 1
< 0.1%
327336.916002129 1
< 0.1%
ValueCountFrequency (%)
358479.24899535 1
< 0.1%
358115.634690212 1
< 0.1%
358014.836019766 2
< 0.1%
357933.237728742 1
< 0.1%
357916.122671764 1
< 0.1%
357888.724162031 1
< 0.1%
357870.136201308 2
< 0.1%
357854.456686495 1
< 0.1%
357832.242269486 2
< 0.1%
357794.702030084 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct8171
Distinct (%)85.3%
Missing421
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean263176.48
Minimum237502.18
Maximum419291.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:52.825501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237502.18
5-th percentile256709.02
Q1261239.73
median263485.54
Q3265528.28
95-th percentile271314.83
Maximum419291.25
Range181789.07
Interquartile range (IQR)4288.5463

Descriptive statistics

Standard deviation5242.4283
Coefficient of variation (CV)0.019919821
Kurtosis85.613593
Mean263176.48
Median Absolute Deviation (MAD)2159.0186
Skewness1.6314412
Sum2.5209675 × 109
Variance27483055
MonotonicityNot monotonic
2024-04-18T11:40:52.944094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404336831 14
 
0.1%
264119.010750105 10
 
0.1%
261988.432192514 10
 
0.1%
264326.558135053 10
 
0.1%
262316.993409346 9
 
0.1%
262385.585115898 9
 
0.1%
265528.276592731 9
 
0.1%
260435.462131817 9
 
0.1%
264069.403955975 9
 
0.1%
260456.396049774 8
 
0.1%
Other values (8161) 9482
94.8%
(Missing) 421
 
4.2%
ValueCountFrequency (%)
237502.183550336 1
< 0.1%
237546.429495767 1
< 0.1%
237928.383351599 1
< 0.1%
239287.37854564 1
< 0.1%
239499.578278627 1
< 0.1%
239961.682616529 1
< 0.1%
240182.455420012 1
< 0.1%
240194.87280138 1
< 0.1%
240213.085764655 1
< 0.1%
240219.763776562 1
< 0.1%
ValueCountFrequency (%)
419291.253978224 1
< 0.1%
278468.043866629 1
< 0.1%
278407.765872155 1
< 0.1%
278391.728963496 1
< 0.1%
278336.693617088 1
< 0.1%
278202.544661006 1
< 0.1%
278070.885647028 1
< 0.1%
278070.331846165 1
< 0.1%
278017.649893232 1
< 0.1%
278013.821040369 1
< 0.1%

위생업태명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4793 
기타
1122 
호프/통닭
655 
식육(숯불구이)
626 
경양식
547 
Other values (19)
2257 

Length

Max length15
Median length2
Mean length3.103
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row횟집
2nd row한식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4793
47.9%
기타 1122
 
11.2%
호프/통닭 655
 
6.6%
식육(숯불구이) 626
 
6.3%
경양식 547
 
5.5%
분식 467
 
4.7%
통닭(치킨) 428
 
4.3%
중국식 355
 
3.5%
일식 247
 
2.5%
정종/대포집/소주방 185
 
1.8%
Other values (14) 575
 
5.8%

Length

2024-04-18T11:40:53.073528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4793
47.9%
기타 1122
 
11.2%
호프/통닭 655
 
6.6%
식육(숯불구이 626
 
6.3%
경양식 547
 
5.5%
분식 467
 
4.7%
통닭(치킨 428
 
4.3%
중국식 355
 
3.5%
일식 247
 
2.5%
정종/대포집/소주방 185
 
1.8%
Other values (14) 575
 
5.8%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)0.2%
Missing2989
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean0.23976608
Minimum0
Maximum25
Zeros5834
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:53.170477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.77863347
Coefficient of variation (CV)3.2474713
Kurtosis336.33766
Mean0.23976608
Median Absolute Deviation (MAD)0
Skewness12.986889
Sum1681
Variance0.60627007
MonotonicityNot monotonic
2024-04-18T11:40:53.267060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 5834
58.3%
1 888
 
8.9%
2 205
 
2.1%
3 47
 
0.5%
4 16
 
0.2%
5 7
 
0.1%
6 7
 
0.1%
25 2
 
< 0.1%
7 2
 
< 0.1%
17 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 2989
29.9%
ValueCountFrequency (%)
0 5834
58.3%
1 888
 
8.9%
2 205
 
2.1%
3 47
 
0.5%
4 16
 
0.2%
5 7
 
0.1%
6 7
 
0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
25 2
 
< 0.1%
17 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
7 2
 
< 0.1%
6 7
 
0.1%
5 7
 
0.1%
4 16
 
0.2%
3 47
 
0.5%
2 205
2.1%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing2870
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean0.40532959
Minimum0
Maximum78
Zeros5530
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:53.363809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum78
Range78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4834665
Coefficient of variation (CV)3.6599019
Kurtosis1175.734
Mean0.40532959
Median Absolute Deviation (MAD)0
Skewness26.408069
Sum2890
Variance2.200673
MonotonicityNot monotonic
2024-04-18T11:40:53.472072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5530
55.3%
1 937
 
9.4%
2 437
 
4.4%
3 128
 
1.3%
4 46
 
0.5%
5 21
 
0.2%
6 12
 
0.1%
7 4
 
< 0.1%
10 3
 
< 0.1%
9 2
 
< 0.1%
Other values (7) 10
 
0.1%
(Missing) 2870
28.7%
ValueCountFrequency (%)
0 5530
55.3%
1 937
 
9.4%
2 437
 
4.4%
3 128
 
1.3%
4 46
 
0.5%
5 21
 
0.2%
6 12
 
0.1%
7 4
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
78 1
 
< 0.1%
40 1
 
< 0.1%
33 1
 
< 0.1%
24 2
< 0.1%
15 2
< 0.1%
13 1
 
< 0.1%
10 3
< 0.1%
9 2
< 0.1%
8 2
< 0.1%
7 4
< 0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4403 
기타
2991 
주택가주변
1871 
아파트지역
 
425
유흥업소밀집지역
 
193
Other values (3)
 
117

Length

Max length8
Median length7
Mean length3.7545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4403
44.0%
기타 2991
29.9%
주택가주변 1871
18.7%
아파트지역 425
 
4.2%
유흥업소밀집지역 193
 
1.9%
학교정화(상대) 83
 
0.8%
학교정화(절대) 25
 
0.2%
결혼예식장주변 9
 
0.1%

Length

2024-04-18T11:40:53.593860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:53.690464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4403
44.0%
기타 2991
29.9%
주택가주변 1871
18.7%
아파트지역 425
 
4.2%
유흥업소밀집지역 193
 
1.9%
학교정화(상대 83
 
0.8%
학교정화(절대 25
 
0.2%
결혼예식장주변 9
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6275 
자율
2816 
기타
875 
우수
 
27
 
4

Length

Max length4
Median length4
Mean length3.2546
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6275
62.7%
자율 2816
28.2%
기타 875
 
8.8%
우수 27
 
0.3%
4
 
< 0.1%
지도 3
 
< 0.1%

Length

2024-04-18T11:40:53.807932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:53.911024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6275
62.7%
자율 2816
28.2%
기타 875
 
8.8%
우수 27
 
0.3%
4
 
< 0.1%
지도 3
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7585 
<NA>
2365 
지하수전용
 
38
간이상수도
 
11
전용상수도(특정시설의 자가용 수도)
 
1

Length

Max length19
Median length5
Mean length4.7649
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7585
75.8%
<NA> 2365
 
23.6%
지하수전용 38
 
0.4%
간이상수도 11
 
0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-18T11:40:54.019828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:54.115088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7585
75.8%
na 2365
 
23.6%
지하수전용 38
 
0.4%
간이상수도 11
 
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>
8021 
0
1979 

Length

Max length4
Median length4
Mean length3.4063
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8021
80.2%
0 1979
 
19.8%

Length

2024-04-18T11:40:54.967566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:55.053511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8021
80.2%
0 1979
 
19.8%

본사직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8020 
0
1980 

Length

Max length4
Median length4
Mean length3.406
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8020
80.2%
0 1980
 
19.8%

Length

2024-04-18T11:40:55.144003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:55.231610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8020
80.2%
0 1980
 
19.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8020 
0
1980 

Length

Max length4
Median length4
Mean length3.406
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8020
80.2%
0 1980
 
19.8%

Length

2024-04-18T11:40:55.319533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:55.411263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8020
80.2%
0 1980
 
19.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8020 
0
1980 

Length

Max length4
Median length4
Mean length3.406
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8020
80.2%
0 1980
 
19.8%

Length

2024-04-18T11:40:55.511492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:55.594125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8020
80.2%
0 1980
 
19.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8020 
0
1980 

Length

Max length4
Median length4
Mean length3.406
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8020
80.2%
0 1980
 
19.8%

Length

2024-04-18T11:40:55.686585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:55.770685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8020
80.2%
0 1980
 
19.8%

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>
8020 
0
1980 

Length

Max length4
Median length4
Mean length3.406
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8020
80.2%
0 1980
 
19.8%

Length

2024-04-18T11:40:55.861526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:55.946441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8020
80.2%
0 1980
 
19.8%

월세액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8020 
0
1980 

Length

Max length4
Median length4
Mean length3.406
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8020
80.2%
0 1980
 
19.8%

Length

2024-04-18T11:40:56.039215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:40:56.131700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8020
80.2%
0 1980
 
19.8%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9635 
True
 
365
ValueCountFrequency (%)
False 9635
96.4%
True 365
 
3.6%
2024-04-18T11:40:56.214522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct5520
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.071725
Minimum0
Maximum2035.8
Zeros244
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:40:56.320644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.819
Q128.88
median47.8
Q385.0675
95-th percentile205.2545
Maximum2035.8
Range2035.8
Interquartile range (IQR)56.1875

Descriptive statistics

Standard deviation99.572514
Coefficient of variation (CV)1.3442716
Kurtosis91.052114
Mean74.071725
Median Absolute Deviation (MAD)22.9
Skewness7.4169341
Sum740717.25
Variance9914.6856
MonotonicityNot monotonic
2024-04-18T11:40:56.461690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 244
 
2.4%
33.0 44
 
0.4%
30.0 34
 
0.3%
40.0 33
 
0.3%
36.0 31
 
0.3%
50.0 27
 
0.3%
26.4 26
 
0.3%
45.0 25
 
0.2%
28.0 24
 
0.2%
49.5 24
 
0.2%
Other values (5510) 9488
94.9%
ValueCountFrequency (%)
0.0 244
2.4%
1.0 2
 
< 0.1%
2.4 1
 
< 0.1%
2.6 1
 
< 0.1%
3.0 1
 
< 0.1%
3.69 1
 
< 0.1%
4.4 1
 
< 0.1%
5.04 1
 
< 0.1%
6.0 2
 
< 0.1%
6.4 1
 
< 0.1%
ValueCountFrequency (%)
2035.8 1
< 0.1%
1882.85 1
< 0.1%
1847.62 1
< 0.1%
1773.9 1
< 0.1%
1710.27 1
< 0.1%
1547.4 1
< 0.1%
1455.3 1
< 0.1%
1339.48 1
< 0.1%
1251.6 1
< 0.1%
1248.0 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
1478014781일반음식점07_24_04_P34200003420000-101-2009-002472009-09-25<NA>3폐업2폐업2015-01-23<NA><NA><NA><NA>32.0701-870대구광역시 동구 신서동 824번지대구광역시 동구 반야월북로 255 (신서동)41075죽도자연산회센타2009-10-13 15:15:59I2018-08-31 23:59:59횟집355750.664322265025.094998횟집<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N32.0<NA><NA><NA>
2747427475일반음식점07_24_04_P34300003430000-101-2019-001422019-11-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.0703-805대구광역시 서구 내당동 340 내당광명아파트대구광역시 서구 평리로 214, 6동 지하 1층 15호 (내당동, 내당광명아파트)41848사루루2022-11-14 10:16:59U2022-11-16 02:40:00한식339649.19496263384.517364한식00<NA><NA>상수도전용00000<NA>00N22.0<NA><NA><NA>
5231652317일반음식점07_24_04_P34600003460000-101-2000-009512000-02-09<NA>3폐업2폐업2008-01-24<NA><NA><NA>743698042.9706-826대구광역시 수성구 범어동 1616번지<NA><NA>유성식당2002-01-16 00:00:00I2018-08-31 23:59:59한식<NA><NA>한식00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N42.9<NA><NA><NA>
91059106일반음식점07_24_04_P34200003420000-101-1993-001461993-04-30<NA>3폐업2폐업2003-07-28<NA><NA><NA>053 941204119.52701-814대구광역시 동구 신암동 185-10번지<NA><NA>성주식당2002-09-09 00:00:00I2018-08-31 23:59:59한식346140.041291265442.43985한식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.52<NA><NA><NA>
79867987일반음식점07_24_04_P34100003410000-101-2001-001472001-04-30<NA>1영업/정상1영업<NA><NA><NA><NA>053 254585730.0700-411대구광역시 중구 삼덕동1가 0052-0005번지 지상1층대구광역시 중구 동성로4길 20-1 (삼덕동1가, 지상1층)41942밀키웨이(Milky way)2012-12-04 14:30:41I2018-08-31 23:59:59한식344320.412259264010.974352한식02기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.0<NA><NA><NA>
7474974750일반음식점07_24_04_P34700003470000-101-2021-001312021-03-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0704-940대구광역시 달서구 이곡동 1213-4대구광역시 달서구 달구벌대로251길 9, 1층 122호 (이곡동)42612몽창2021-03-23 15:00:02I2021-03-25 00:22:59한식335829.019708262450.94112한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N50.79<NA><NA><NA>
5315453155일반음식점07_24_04_P34600003460000-101-2002-003562002-06-28<NA>3폐업2폐업2017-12-27<NA><NA><NA>7664090167.2706-800대구광역시 수성구 두산동 3-1번지대구광역시 수성구 들안로 106-1 (두산동)42169바빌론2017-12-27 14:12:00I2018-08-31 23:59:59까페346053.491901261136.098126까페00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N167.2<NA><NA><NA>
1814918150일반음식점07_24_04_P34200003420000-101-2016-001752016-05-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>52.73701-837대구광역시 동구 율하동 892-12대구광역시 동구 율하동로19길 61 (율하동)41122이춘봉치킨 율하점2022-01-14 10:26:43U2022-01-16 02:40:00기타353077.699354264635.264132기타<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.73<NA><NA><NA>
5532255323일반음식점07_24_04_P34600003460000-101-2007-001362007-04-27<NA>3폐업2폐업2014-01-21<NA><NA><NA>053 795 193341.24706-170대구광역시 수성구 신매동 567번지 아레나스포츠센터대구광역시 수성구 달구벌대로 3188 (신매동,아레나스포츠센터)42274본비빔밥2009-06-11 13:25:04I2018-08-31 23:59:59한식353999.548196261412.731435한식02기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N41.24<NA><NA><NA>
3959739598일반음식점07_24_04_P34500003450000-101-2015-000322015-02-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>71.71702-040대구광역시 북구 대현동 111-17번지대구광역시 북구 대현로19길 25 (대현동)41569모리2015-03-05 09:50:04I2018-08-31 23:59:59까페345312.133525266134.79523까페11기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N71.71<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
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