Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells101158
Missing cells (%)21.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory413.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년06월_6270000_대구광역시_07_24_04_P_일반음식점
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093850&dataSetDetailId=DDI_0000093862&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
급수시설구분명 is highly imbalanced (67.6%)Imbalance
다중이용업소여부 is highly imbalanced (79.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 3656 (36.6%) 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 2723 (27.2%) missing valuesMissing
소재지면적 has 170 (1.7%) missing valuesMissing
소재지우편번호 has 150 (1.5%) missing valuesMissing
도로명전체주소 has 3607 (36.1%) missing valuesMissing
도로명우편번호 has 3691 (36.9%) missing valuesMissing
좌표정보(X) has 364 (3.6%) missing valuesMissing
좌표정보(Y) has 364 (3.6%) missing valuesMissing
남성종사자수 has 3282 (32.8%) missing valuesMissing
여성종사자수 has 3150 (31.5%) 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 = 26.40568723)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
남성종사자수 has 5503 (55.0%) zerosZeros
여성종사자수 has 5229 (52.3%) zerosZeros
시설총규모 has 249 (2.5%) zerosZeros

Reproduction

Analysis started2024-04-17 21:11:28.591509
Analysis finished2024-04-17 21:11:30.580755
Duration1.99 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%
Mean41847.365
Minimum9
Maximum84509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:30.638756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile3956.85
Q120530.25
median41699
Q362922
95-th percentile79995.45
Maximum84509
Range84500
Interquartile range (IQR)42391.75

Descriptive statistics

Standard deviation24436.503
Coefficient of variation (CV)0.58394365
Kurtosis-1.2126105
Mean41847.365
Median Absolute Deviation (MAD)21209.5
Skewness0.011058554
Sum4.1847365 × 108
Variance5.9714267 × 108
MonotonicityNot monotonic
2024-04-18T06:11:30.740613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41608 1
 
< 0.1%
22073 1
 
< 0.1%
66043 1
 
< 0.1%
25337 1
 
< 0.1%
53192 1
 
< 0.1%
51042 1
 
< 0.1%
42019 1
 
< 0.1%
39926 1
 
< 0.1%
1097 1
 
< 0.1%
13450 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
9 1
< 0.1%
13 1
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
44 1
< 0.1%
46 1
< 0.1%
53 1
< 0.1%
55 1
< 0.1%
64 1
< 0.1%
66 1
< 0.1%
ValueCountFrequency (%)
84509 1
< 0.1%
84494 1
< 0.1%
84492 1
< 0.1%
84468 1
< 0.1%
84456 1
< 0.1%
84455 1
< 0.1%
84450 1
< 0.1%
84445 1
< 0.1%
84434 1
< 0.1%
84425 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

2024-04-18T06:11:30.836972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:30.903055image/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

2024-04-18T06:11:30.973116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:31.061290image/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%
Mean3447122
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:31.129119image/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 deviation21868.812
Coefficient of variation (CV)0.0063440784
Kurtosis-1.2034705
Mean3447122
Median Absolute Deviation (MAD)20000
Skewness-0.27686909
Sum3.447122 × 1010
Variance4.7824494 × 108
MonotonicityNot monotonic
2024-04-18T06:11:31.213667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2046
20.5%
3450000 1604
16.0%
3460000 1574
15.7%
3420000 1363
13.6%
3410000 974
9.7%
3430000 968
9.7%
3440000 759
 
7.6%
3480000 712
 
7.1%
ValueCountFrequency (%)
3410000 974
9.7%
3420000 1363
13.6%
3430000 968
9.7%
3440000 759
 
7.6%
3450000 1604
16.0%
3460000 1574
15.7%
3470000 2046
20.5%
3480000 712
 
7.1%
ValueCountFrequency (%)
3480000 712
 
7.1%
3470000 2046
20.5%
3460000 1574
15.7%
3450000 1604
16.0%
3440000 759
 
7.6%
3430000 968
9.7%
3420000 1363
13.6%
3410000 974
9.7%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T06:11:31.370771image/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 row3450000-101-2008-00075
2nd row3420000-101-1986-00002
3rd row3420000-101-1985-00009
4th row3470000-101-2011-00096
5th row3450000-101-2002-00123
ValueCountFrequency (%)
3450000-101-2008-00075 1
 
< 0.1%
3450000-101-2009-00874 1
 
< 0.1%
3460000-101-2004-00257 1
 
< 0.1%
3410000-101-2006-00063 1
 
< 0.1%
3470000-101-1998-00285 1
 
< 0.1%
3430000-101-2000-00578 1
 
< 0.1%
3460000-101-2016-00345 1
 
< 0.1%
3460000-101-2011-00002 1
 
< 0.1%
3450000-101-2007-00021 1
 
< 0.1%
3430000-101-2000-00196 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T06:11:31.635446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89220
40.6%
1 32107
 
14.6%
- 30000
 
13.6%
2 15892
 
7.2%
3 14923
 
6.8%
4 14213
 
6.5%
9 5529
 
2.5%
7 5025
 
2.3%
5 4751
 
2.2%
6 4569
 
2.1%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89220
47.0%
1 32107
 
16.9%
2 15892
 
8.4%
3 14923
 
7.9%
4 14213
 
7.5%
9 5529
 
2.9%
7 5025
 
2.6%
5 4751
 
2.5%
6 4569
 
2.4%
8 3771
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89220
40.6%
1 32107
 
14.6%
- 30000
 
13.6%
2 15892
 
7.2%
3 14923
 
6.8%
4 14213
 
6.5%
9 5529
 
2.5%
7 5025
 
2.3%
5 4751
 
2.2%
6 4569
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89220
40.6%
1 32107
 
14.6%
- 30000
 
13.6%
2 15892
 
7.2%
3 14923
 
6.8%
4 14213
 
6.5%
9 5529
 
2.5%
7 5025
 
2.3%
5 4751
 
2.2%
6 4569
 
2.1%

인허가일자
Real number (ℝ)

Distinct5450
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20068473
Minimum19650830
Maximum20220701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:31.746918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19650830
5-th percentile19930715
Q120010426
median20060416
Q320150114
95-th percentile20210120
Maximum20220701
Range569871
Interquartile range (IQR)139688.25

Descriptive statistics

Standard deviation89232.377
Coefficient of variation (CV)0.0044463959
Kurtosis0.013223398
Mean20068473
Median Absolute Deviation (MAD)60199.5
Skewness-0.28550392
Sum2.0068473 × 1011
Variance7.962417 × 109
MonotonicityNot monotonic
2024-04-18T06:11:31.849963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000215 23
 
0.2%
20000209 21
 
0.2%
20000121 18
 
0.2%
20000222 15
 
0.1%
20000127 14
 
0.1%
20000211 13
 
0.1%
20000221 12
 
0.1%
20000214 12
 
0.1%
20000217 12
 
0.1%
20000218 12
 
0.1%
Other values (5440) 9848
98.5%
ValueCountFrequency (%)
19650830 1
< 0.1%
19670926 1
< 0.1%
19690816 1
< 0.1%
19700602 1
< 0.1%
19700624 1
< 0.1%
19700706 1
< 0.1%
19700715 1
< 0.1%
19701120 1
< 0.1%
19711126 1
< 0.1%
19720204 1
< 0.1%
ValueCountFrequency (%)
20220701 1
 
< 0.1%
20220629 2
< 0.1%
20220628 3
< 0.1%
20220627 1
 
< 0.1%
20220624 2
< 0.1%
20220623 2
< 0.1%
20220622 2
< 0.1%
20220617 1
 
< 0.1%
20220615 3
< 0.1%
20220614 1
 
< 0.1%

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
6344 
1
3656 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6344
63.4%
1 3656
36.6%

Length

2024-04-18T06:11:31.946677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:32.026357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6344
63.4%
1 3656
36.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6344 
영업/정상
3656 

Length

Max length5
Median length2
Mean length3.0968
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6344
63.4%
영업/정상 3656
36.6%

Length

2024-04-18T06:11:32.106291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:32.179914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6344
63.4%
영업/정상 3656
36.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6344 
1
3656 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 6344
63.4%
1 3656
36.6%

Length

2024-04-18T06:11:32.254453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:32.331099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6344
63.4%
1 3656
36.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6344 
영업
3656 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6344
63.4%
영업 3656
36.6%

Length

2024-04-18T06:11:32.406353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:32.477333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6344
63.4%
영업 3656
36.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct3501
Distinct (%)55.2%
Missing3656
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean20110647
Minimum19980529
Maximum20220629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:32.561038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980529
5-th percentile20021218
Q120051222
median20101011
Q320170308
95-th percentile20210607
Maximum20220629
Range240100
Interquartile range (IQR)119086.25

Descriptive statistics

Standard deviation61614.894
Coefficient of variation (CV)0.0030637948
Kurtosis-1.2819184
Mean20110647
Median Absolute Deviation (MAD)50508
Skewness0.19955083
Sum1.2758194 × 1011
Variance3.7963952 × 109
MonotonicityNot monotonic
2024-04-18T06:11:32.669598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080407 19
 
0.2%
20021216 19
 
0.2%
20180723 13
 
0.1%
20060131 10
 
0.1%
20061211 9
 
0.1%
20080627 8
 
0.1%
20190928 8
 
0.1%
20071221 8
 
0.1%
20180908 7
 
0.1%
20110103 7
 
0.1%
Other values (3491) 6236
62.4%
(Missing) 3656
36.6%
ValueCountFrequency (%)
19980529 1
 
< 0.1%
19981126 1
 
< 0.1%
20000124 1
 
< 0.1%
20000125 1
 
< 0.1%
20000129 1
 
< 0.1%
20000207 1
 
< 0.1%
20000224 1
 
< 0.1%
20000411 1
 
< 0.1%
20000501 2
< 0.1%
20000513 3
< 0.1%
ValueCountFrequency (%)
20220629 3
< 0.1%
20220624 1
 
< 0.1%
20220623 1
 
< 0.1%
20220620 2
< 0.1%
20220617 1
 
< 0.1%
20220615 2
< 0.1%
20220613 1
 
< 0.1%
20220610 2
< 0.1%
20220609 1
 
< 0.1%
20220608 3
< 0.1%

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 

Distinct7226
Distinct (%)99.3%
Missing2723
Missing (%)27.2%
Memory size156.2 KiB
2024-04-18T06:11:32.974176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.61715
Min length1

Characters and Unicode

Total characters77261
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

Unique7178 ?
Unique (%)98.6%

Sample

1st row053 3142580
2nd row053 9585999
3rd row053 9595158
4th row053 587 7723
5th row3529834
ValueCountFrequency (%)
053 5624
37.6%
614 29
 
0.2%
588 26
 
0.2%
622 25
 
0.2%
070 25
 
0.2%
944 24
 
0.2%
965 24
 
0.2%
939 24
 
0.2%
761 23
 
0.2%
611 23
 
0.2%
Other values (7089) 9106
60.9%
2024-04-18T06:11:33.390394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13141
17.0%
3 11211
14.5%
0 10165
13.2%
7785
10.1%
2 6120
7.9%
6 5771
7.5%
7 5053
 
6.5%
9 4779
 
6.2%
4 4586
 
5.9%
1 4348
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69476
89.9%
Space Separator 7785
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13141
18.9%
3 11211
16.1%
0 10165
14.6%
2 6120
8.8%
6 5771
8.3%
7 5053
 
7.3%
9 4779
 
6.9%
4 4586
 
6.6%
1 4348
 
6.3%
8 4302
 
6.2%
Space Separator
ValueCountFrequency (%)
7785
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77261
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13141
17.0%
3 11211
14.5%
0 10165
13.2%
7785
10.1%
2 6120
7.9%
6 5771
7.5%
7 5053
 
6.5%
9 4779
 
6.2%
4 4586
 
5.9%
1 4348
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13141
17.0%
3 11211
14.5%
0 10165
13.2%
7785
10.1%
2 6120
7.9%
6 5771
7.5%
7 5053
 
6.5%
9 4779
 
6.2%
4 4586
 
5.9%
1 4348
 
5.6%

소재지면적
Text

MISSING 

Distinct5536
Distinct (%)56.3%
Missing170
Missing (%)1.7%
Memory size156.2 KiB
2024-04-18T06:11:34.006820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1554425
Min length3

Characters and Unicode

Total characters50678
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3848 ?
Unique (%)39.1%

Sample

1st row45.80
2nd row70.15
3rd row17.02
4th row80.00
5th row86.72
ValueCountFrequency (%)
00 143
 
1.5%
30.00 39
 
0.4%
33.00 37
 
0.4%
36.00 30
 
0.3%
66.00 28
 
0.3%
24.00 27
 
0.3%
26.40 26
 
0.3%
40.00 26
 
0.3%
31.50 24
 
0.2%
29.70 23
 
0.2%
Other values (5526) 9427
95.9%
2024-04-18T06:11:34.412210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9830
19.4%
0 7123
14.1%
2 4941
9.7%
1 4598
9.1%
3 4061
8.0%
4 3989
7.9%
5 3717
 
7.3%
6 3549
 
7.0%
8 3236
 
6.4%
7 2957
 
5.8%
Other values (2) 2677
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40835
80.6%
Other Punctuation 9843
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7123
17.4%
2 4941
12.1%
1 4598
11.3%
3 4061
9.9%
4 3989
9.8%
5 3717
9.1%
6 3549
8.7%
8 3236
7.9%
7 2957
7.2%
9 2664
 
6.5%
Other Punctuation
ValueCountFrequency (%)
. 9830
99.9%
, 13
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 50678
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9830
19.4%
0 7123
14.1%
2 4941
9.7%
1 4598
9.1%
3 4061
8.0%
4 3989
7.9%
5 3717
 
7.3%
6 3549
 
7.0%
8 3236
 
6.4%
7 2957
 
5.8%
Other values (2) 2677
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9830
19.4%
0 7123
14.1%
2 4941
9.7%
1 4598
9.1%
3 4061
8.0%
4 3989
7.9%
5 3717
 
7.3%
6 3549
 
7.0%
8 3236
 
6.4%
7 2957
 
5.8%
Other values (2) 2677
 
5.3%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct653
Distinct (%)6.6%
Missing150
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean704278.27
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:34.531462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700412
Q1702072
median704060
Q3705820
95-th percentile711812
Maximum711893
Range11883
Interquartile range (IQR)3748

Descriptive statistics

Standard deviation2690.7889
Coefficient of variation (CV)0.0038206332
Kurtosis1.2441804
Mean704278.27
Median Absolute Deviation (MAD)1765
Skewness0.95932981
Sum6.9371409 × 109
Variance7240345.1
MonotonicityNot monotonic
2024-04-18T06:11:34.639145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 127
 
1.3%
706170 98
 
1.0%
700411 96
 
1.0%
702040 87
 
0.9%
704060 86
 
0.9%
711852 82
 
0.8%
706801 79
 
0.8%
704910 78
 
0.8%
702842 76
 
0.8%
706800 75
 
0.8%
Other values (643) 8966
89.7%
(Missing) 150
 
1.5%
ValueCountFrequency (%)
700010 13
0.1%
700020 7
 
0.1%
700030 4
 
< 0.1%
700040 12
0.1%
700050 2
 
< 0.1%
700060 16
0.2%
700070 20
0.2%
700081 3
 
< 0.1%
700082 24
0.2%
700091 5
 
0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711892 1
 
< 0.1%
711891 46
0.5%
711874 28
0.3%
711873 10
 
0.1%
711872 10
 
0.1%
711871 1
 
< 0.1%
711864 9
 
0.1%
711863 14
 
0.1%
711862 7
 
0.1%
Distinct9455
Distinct (%)94.6%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T06:11:34.933781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length55
Mean length24.454745
Min length15

Characters and Unicode

Total characters244523
Distinct characters424
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8995 ?
Unique (%)90.0%

Sample

1st row대구광역시 북구 태전동 206-25번지
2nd row대구광역시 동구 신암동 331-10
3rd row대구광역시 동구 효목동 957-5번지
4th row대구광역시 달서구 신당동 1721-8번지 (지상1층)
5th row대구광역시 북구 구암동 794-11번지
ValueCountFrequency (%)
대구광역시 9999
22.1%
달서구 2043
 
4.5%
북구 1604
 
3.6%
수성구 1574
 
3.5%
동구 1363
 
3.0%
중구 974
 
2.2%
서구 970
 
2.1%
남구 759
 
1.7%
달성군 712
 
1.6%
지상1층 592
 
1.3%
Other values (10001) 24576
54.4%
2024-04-18T06:11:35.358343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44873
18.4%
19551
 
8.0%
1 12960
 
5.3%
11410
 
4.7%
11092
 
4.5%
10165
 
4.2%
10034
 
4.1%
10022
 
4.1%
9078
 
3.7%
- 8630
 
3.5%
Other values (414) 96708
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133503
54.6%
Decimal Number 54683
22.4%
Space Separator 44873
 
18.4%
Dash Punctuation 8630
 
3.5%
Open Punctuation 982
 
0.4%
Close Punctuation 975
 
0.4%
Other Punctuation 626
 
0.3%
Uppercase Letter 217
 
0.1%
Math Symbol 17
 
< 0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19551
14.6%
11410
 
8.5%
11092
 
8.3%
10165
 
7.6%
10034
 
7.5%
10022
 
7.5%
9078
 
6.8%
7398
 
5.5%
3261
 
2.4%
3055
 
2.3%
Other values (361) 38437
28.8%
Uppercase Letter
ValueCountFrequency (%)
A 72
33.2%
B 50
23.0%
C 16
 
7.4%
S 13
 
6.0%
T 8
 
3.7%
R 7
 
3.2%
M 7
 
3.2%
D 6
 
2.8%
E 6
 
2.8%
K 6
 
2.8%
Other values (11) 26
 
12.0%
Decimal Number
ValueCountFrequency (%)
1 12960
23.7%
0 8080
14.8%
2 6853
12.5%
3 5131
 
9.4%
4 4339
 
7.9%
5 4085
 
7.5%
6 3476
 
6.4%
8 3425
 
6.3%
7 3265
 
6.0%
9 3069
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
37.5%
c 2
 
12.5%
u 1
 
6.2%
l 1
 
6.2%
a 1
 
6.2%
i 1
 
6.2%
d 1
 
6.2%
m 1
 
6.2%
n 1
 
6.2%
s 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 578
92.3%
. 22
 
3.5%
/ 17
 
2.7%
@ 7
 
1.1%
: 1
 
0.2%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
44873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8630
100.0%
Open Punctuation
ValueCountFrequency (%)
( 982
100.0%
Close Punctuation
ValueCountFrequency (%)
) 975
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133503
54.6%
Common 110786
45.3%
Latin 234
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19551
14.6%
11410
 
8.5%
11092
 
8.3%
10165
 
7.6%
10034
 
7.5%
10022
 
7.5%
9078
 
6.8%
7398
 
5.5%
3261
 
2.4%
3055
 
2.3%
Other values (361) 38437
28.8%
Latin
ValueCountFrequency (%)
A 72
30.8%
B 50
21.4%
C 16
 
6.8%
S 13
 
5.6%
T 8
 
3.4%
R 7
 
3.0%
M 7
 
3.0%
D 6
 
2.6%
e 6
 
2.6%
E 6
 
2.6%
Other values (22) 43
18.4%
Common
ValueCountFrequency (%)
44873
40.5%
1 12960
 
11.7%
- 8630
 
7.8%
0 8080
 
7.3%
2 6853
 
6.2%
3 5131
 
4.6%
4 4339
 
3.9%
5 4085
 
3.7%
6 3476
 
3.1%
8 3425
 
3.1%
Other values (11) 8934
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133503
54.6%
ASCII 111019
45.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44873
40.4%
1 12960
 
11.7%
- 8630
 
7.8%
0 8080
 
7.3%
2 6853
 
6.2%
3 5131
 
4.6%
4 4339
 
3.9%
5 4085
 
3.7%
6 3476
 
3.1%
8 3425
 
3.1%
Other values (42) 9167
 
8.3%
Hangul
ValueCountFrequency (%)
19551
14.6%
11410
 
8.5%
11092
 
8.3%
10165
 
7.6%
10034
 
7.5%
10022
 
7.5%
9078
 
6.8%
7398
 
5.5%
3261
 
2.4%
3055
 
2.3%
Other values (361) 38437
28.8%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct6181
Distinct (%)96.7%
Missing3607
Missing (%)36.1%
Memory size156.2 KiB
2024-04-18T06:11:35.670986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length28.740497
Min length20

Characters and Unicode

Total characters183738
Distinct characters446
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6018 ?
Unique (%)94.1%

Sample

1st row대구광역시 동구 신암남로 147 (신암동)
2nd row대구광역시 달서구 서당로9길 35 (신당동,(지상1층))
3rd row대구광역시 수성구 수성로62길 40, 1층 (수성동2가)
4th row대구광역시 달서구 용산서로 58, 1층 (용산동)
5th row대구광역시 수성구 청수로45길 48-9 (황금동,외3필지)
ValueCountFrequency (%)
대구광역시 6393
 
17.3%
1층 1976
 
5.3%
달서구 1279
 
3.5%
북구 1041
 
2.8%
수성구 970
 
2.6%
동구 948
 
2.6%
중구 597
 
1.6%
서구 561
 
1.5%
달성군 513
 
1.4%
남구 484
 
1.3%
Other values (4589) 22297
60.2%
2024-04-18T06:11:36.099177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30669
 
16.7%
13155
 
7.2%
1 8776
 
4.8%
8383
 
4.6%
8382
 
4.6%
6590
 
3.6%
6465
 
3.5%
6407
 
3.5%
) 6251
 
3.4%
( 6250
 
3.4%
Other values (436) 82410
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104938
57.1%
Space Separator 30669
 
16.7%
Decimal Number 29580
 
16.1%
Close Punctuation 6251
 
3.4%
Open Punctuation 6250
 
3.4%
Other Punctuation 4295
 
2.3%
Dash Punctuation 1478
 
0.8%
Uppercase Letter 226
 
0.1%
Math Symbol 34
 
< 0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13155
 
12.5%
8383
 
8.0%
8382
 
8.0%
6590
 
6.3%
6465
 
6.2%
6407
 
6.1%
6182
 
5.9%
3498
 
3.3%
3066
 
2.9%
2477
 
2.4%
Other values (382) 40333
38.4%
Uppercase Letter
ValueCountFrequency (%)
A 72
31.9%
B 48
21.2%
S 18
 
8.0%
M 11
 
4.9%
C 11
 
4.9%
R 8
 
3.5%
E 8
 
3.5%
D 7
 
3.1%
K 7
 
3.1%
T 6
 
2.7%
Other values (12) 30
13.3%
Decimal Number
ValueCountFrequency (%)
1 8776
29.7%
2 4369
14.8%
3 3028
 
10.2%
0 2390
 
8.1%
4 2291
 
7.7%
5 2164
 
7.3%
6 1978
 
6.7%
7 1687
 
5.7%
9 1465
 
5.0%
8 1432
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
37.5%
c 2
 
12.5%
l 1
 
6.2%
a 1
 
6.2%
i 1
 
6.2%
d 1
 
6.2%
m 1
 
6.2%
n 1
 
6.2%
u 1
 
6.2%
s 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 4281
99.7%
. 9
 
0.2%
/ 3
 
0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 33
97.1%
+ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
30669
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1478
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104938
57.1%
Common 78557
42.8%
Latin 243
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13155
 
12.5%
8383
 
8.0%
8382
 
8.0%
6590
 
6.3%
6465
 
6.2%
6407
 
6.1%
6182
 
5.9%
3498
 
3.3%
3066
 
2.9%
2477
 
2.4%
Other values (382) 40333
38.4%
Latin
ValueCountFrequency (%)
A 72
29.6%
B 48
19.8%
S 18
 
7.4%
M 11
 
4.5%
C 11
 
4.5%
R 8
 
3.3%
E 8
 
3.3%
D 7
 
2.9%
K 7
 
2.9%
e 6
 
2.5%
Other values (23) 47
19.3%
Common
ValueCountFrequency (%)
30669
39.0%
1 8776
 
11.2%
) 6251
 
8.0%
( 6250
 
8.0%
2 4369
 
5.6%
, 4281
 
5.4%
3 3028
 
3.9%
0 2390
 
3.0%
4 2291
 
2.9%
5 2164
 
2.8%
Other values (11) 8088
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104938
57.1%
ASCII 78799
42.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30669
38.9%
1 8776
 
11.1%
) 6251
 
7.9%
( 6250
 
7.9%
2 4369
 
5.5%
, 4281
 
5.4%
3 3028
 
3.8%
0 2390
 
3.0%
4 2291
 
2.9%
5 2164
 
2.7%
Other values (43) 8330
 
10.6%
Hangul
ValueCountFrequency (%)
13155
 
12.5%
8383
 
8.0%
8382
 
8.0%
6590
 
6.3%
6465
 
6.2%
6407
 
6.1%
6182
 
5.9%
3498
 
3.3%
3066
 
2.9%
2477
 
2.4%
Other values (382) 40333
38.4%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1175
Distinct (%)18.6%
Missing3691
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean42044.034
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:36.213609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41102
Q141543
median42013
Q342622
95-th percentile42955
Maximum43024
Range2024
Interquartile range (IQR)1079

Descriptive statistics

Standard deviation592.92187
Coefficient of variation (CV)0.014102402
Kurtosis-1.1961029
Mean42044.034
Median Absolute Deviation (MAD)526
Skewness-0.050119045
Sum2.6525581 × 108
Variance351556.34
MonotonicityNot monotonic
2024-04-18T06:11:36.321123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41544 64
 
0.6%
41942 54
 
0.5%
43018 35
 
0.4%
41941 33
 
0.3%
42672 30
 
0.3%
42612 28
 
0.3%
41423 28
 
0.3%
42614 27
 
0.3%
42173 27
 
0.3%
41452 26
 
0.3%
Other values (1165) 5957
59.6%
(Missing) 3691
36.9%
ValueCountFrequency (%)
41000 11
0.1%
41001 13
0.1%
41002 14
0.1%
41003 4
 
< 0.1%
41005 3
 
< 0.1%
41007 15
0.1%
41008 3
 
< 0.1%
41009 2
 
< 0.1%
41016 1
 
< 0.1%
41017 1
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43022 1
 
< 0.1%
43020 1
 
< 0.1%
43019 2
 
< 0.1%
43018 35
0.4%
43017 16
0.2%
43014 23
0.2%
43013 4
 
< 0.1%
43010 4
 
< 0.1%
43009 16
0.2%
Distinct9009
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T06:11:36.596060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length5.6337
Min length1

Characters and Unicode

Total characters56337
Distinct characters1074
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8390 ?
Unique (%)83.9%

Sample

1st row왈가닥숯불닭바베큐
2nd row청춘생막창
3rd row중국성
4th row77번가(77st)
5th row보고싶다친구야
ValueCountFrequency (%)
식당 14
 
0.1%
고향식당 12
 
0.1%
카페 12
 
0.1%
서울식당 12
 
0.1%
의성식당 10
 
0.1%
성주식당 10
 
0.1%
대구식당 10
 
0.1%
치킨 10
 
0.1%
상인점 10
 
0.1%
청도추어탕 9
 
0.1%
Other values (9495) 10847
99.0%
2024-04-18T06:11:36.992144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2214
 
3.9%
1953
 
3.5%
1148
 
2.0%
1136
 
2.0%
960
 
1.7%
777
 
1.4%
726
 
1.3%
684
 
1.2%
658
 
1.2%
656
 
1.2%
Other values (1064) 45425
80.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52214
92.7%
Space Separator 960
 
1.7%
Uppercase Letter 739
 
1.3%
Lowercase Letter 685
 
1.2%
Decimal Number 548
 
1.0%
Close Punctuation 494
 
0.9%
Open Punctuation 493
 
0.9%
Other Punctuation 178
 
0.3%
Dash Punctuation 15
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2214
 
4.2%
1953
 
3.7%
1148
 
2.2%
1136
 
2.2%
777
 
1.5%
726
 
1.4%
684
 
1.3%
658
 
1.3%
656
 
1.3%
562
 
1.1%
Other values (982) 41700
79.9%
Lowercase Letter
ValueCountFrequency (%)
e 78
 
11.4%
o 65
 
9.5%
a 60
 
8.8%
n 43
 
6.3%
i 43
 
6.3%
s 39
 
5.7%
u 39
 
5.7%
r 34
 
5.0%
c 30
 
4.4%
h 30
 
4.4%
Other values (16) 224
32.7%
Uppercase Letter
ValueCountFrequency (%)
B 82
 
11.1%
A 64
 
8.7%
C 59
 
8.0%
O 59
 
8.0%
E 48
 
6.5%
H 38
 
5.1%
R 35
 
4.7%
S 33
 
4.5%
L 32
 
4.3%
T 31
 
4.2%
Other values (15) 258
34.9%
Other Punctuation
ValueCountFrequency (%)
& 66
37.1%
. 56
31.5%
, 29
16.3%
· 7
 
3.9%
' 6
 
3.4%
! 4
 
2.2%
: 3
 
1.7%
? 2
 
1.1%
# 2
 
1.1%
/ 1
 
0.6%
Other values (2) 2
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 102
18.6%
2 80
14.6%
3 80
14.6%
1 72
13.1%
9 47
8.6%
8 41
7.5%
5 36
 
6.6%
7 36
 
6.6%
4 29
 
5.3%
6 25
 
4.6%
Math Symbol
ValueCountFrequency (%)
+ 5
83.3%
1
 
16.7%
Letter Number
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
960
100.0%
Close Punctuation
ValueCountFrequency (%)
) 494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 493
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52192
92.6%
Common 2695
 
4.8%
Latin 1428
 
2.5%
Han 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2214
 
4.2%
1953
 
3.7%
1148
 
2.2%
1136
 
2.2%
777
 
1.5%
726
 
1.4%
684
 
1.3%
658
 
1.3%
656
 
1.3%
562
 
1.1%
Other values (964) 41678
79.9%
Latin
ValueCountFrequency (%)
B 82
 
5.7%
e 78
 
5.5%
o 65
 
4.6%
A 64
 
4.5%
a 60
 
4.2%
C 59
 
4.1%
O 59
 
4.1%
E 48
 
3.4%
n 43
 
3.0%
i 43
 
3.0%
Other values (43) 827
57.9%
Common
ValueCountFrequency (%)
960
35.6%
) 494
18.3%
( 493
18.3%
0 102
 
3.8%
2 80
 
3.0%
3 80
 
3.0%
1 72
 
2.7%
& 66
 
2.4%
. 56
 
2.1%
9 47
 
1.7%
Other values (19) 245
 
9.1%
Han
ValueCountFrequency (%)
3
 
13.6%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (8) 8
36.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52191
92.6%
ASCII 4110
 
7.3%
CJK 21
 
< 0.1%
None 8
 
< 0.1%
Number Forms 4
 
< 0.1%
Math Operators 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2214
 
4.2%
1953
 
3.7%
1148
 
2.2%
1136
 
2.2%
777
 
1.5%
726
 
1.4%
684
 
1.3%
658
 
1.3%
656
 
1.3%
562
 
1.1%
Other values (963) 41677
79.9%
ASCII
ValueCountFrequency (%)
960
23.4%
) 494
 
12.0%
( 493
 
12.0%
0 102
 
2.5%
B 82
 
2.0%
2 80
 
1.9%
3 80
 
1.9%
e 78
 
1.9%
1 72
 
1.8%
& 66
 
1.6%
Other values (67) 1603
39.0%
None
ValueCountFrequency (%)
· 7
87.5%
1
 
12.5%
CJK
ValueCountFrequency (%)
3
14.3%
2
 
9.5%
2
 
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (7) 7
33.3%
Number Forms
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct8087
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130421 × 1013
Minimum2.0010809 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:37.105896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010809 × 1013
5-th percentile2.0020419 × 1013
Q12.0050701 × 1013
median2.015031 × 1013
Q32.0200814 × 1013
95-th percentile2.0220329 × 1013
Maximum2.022063 × 1013
Range2.0982121 × 1011
Interquartile range (IQR)1.5011311 × 1011

Descriptive statistics

Standard deviation7.3908394 × 1010
Coefficient of variation (CV)0.0036714779
Kurtosis-1.5102803
Mean2.0130421 × 1013
Median Absolute Deviation (MAD)6.0304021 × 1010
Skewness-0.28074298
Sum2.0130421 × 1017
Variance5.4624508 × 1021
MonotonicityNot monotonic
2024-04-18T06:11:37.208494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031215000000 29
 
0.3%
20020913000000 24
 
0.2%
20020904000000 20
 
0.2%
20020511000000 18
 
0.2%
20041004000000 17
 
0.2%
20020509000000 17
 
0.2%
20020115000000 16
 
0.2%
20020506000000 16
 
0.2%
20020902000000 16
 
0.2%
20020116000000 15
 
0.1%
Other values (8077) 9812
98.1%
ValueCountFrequency (%)
20010809000000 1
 
< 0.1%
20010810000000 3
 
< 0.1%
20010811000000 1
 
< 0.1%
20010813000000 2
 
< 0.1%
20010817000000 2
 
< 0.1%
20010820000000 4
 
< 0.1%
20010821000000 4
 
< 0.1%
20010823000000 7
0.1%
20010824000000 7
0.1%
20010827000000 12
0.1%
ValueCountFrequency (%)
20220630214728 1
< 0.1%
20220630165901 1
< 0.1%
20220630154344 1
< 0.1%
20220630153944 1
< 0.1%
20220630133108 1
< 0.1%
20220630102348 1
< 0.1%
20220629174157 1
< 0.1%
20220629174108 1
< 0.1%
20220629163719 1
< 0.1%
20220629162606 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6360 
U
3640 

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 6360
63.6%
U 3640
36.4%

Length

2024-04-18T06:11:37.300089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:37.369174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6360
63.6%
u 3640
36.4%
Distinct1033
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-18T06:11:37.465976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:11:37.575657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4786 
기타
1076 
식육(숯불구이)
678 
호프/통닭
677 
경양식
 
471
Other values (20)
2312 

Length

Max length15
Median length2
Mean length3.1561
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row통닭(치킨)
2nd row식육(숯불구이)
3rd row중국식
4th row식육(숯불구이)
5th row기타

Common Values

ValueCountFrequency (%)
한식 4786
47.9%
기타 1076
 
10.8%
식육(숯불구이) 678
 
6.8%
호프/통닭 677
 
6.8%
경양식 471
 
4.7%
통닭(치킨) 466
 
4.7%
분식 460
 
4.6%
중국식 370
 
3.7%
일식 233
 
2.3%
정종/대포집/소주방 180
 
1.8%
Other values (15) 603
 
6.0%

Length

2024-04-18T06:11:37.682233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4786
47.9%
기타 1076
 
10.8%
식육(숯불구이 678
 
6.8%
호프/통닭 677
 
6.8%
경양식 471
 
4.7%
통닭(치킨 466
 
4.7%
분식 460
 
4.6%
중국식 370
 
3.7%
일식 233
 
2.3%
정종/대포집/소주방 180
 
1.8%
Other values (15) 603
 
6.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct8224
Distinct (%)85.3%
Missing364
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean342879.96
Minimum326018.85
Maximum358030.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:37.781034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326018.85
5-th percentile333917.85
Q1339665.43
median342873.71
Q3346214.58
95-th percentile353432.44
Maximum358030.6
Range32011.745
Interquartile range (IQR)6549.1449

Descriptive statistics

Standard deviation5331.6472
Coefficient of variation (CV)0.015549603
Kurtosis0.37350297
Mean342879.96
Median Absolute Deviation (MAD)3262.8153
Skewness0.011558094
Sum3.3039913 × 109
Variance28426462
MonotonicityNot monotonic
2024-04-18T06:11:37.893158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.24197 12
 
0.1%
344047.164924 12
 
0.1%
340741.823616 11
 
0.1%
339047.793379 10
 
0.1%
356353.91544 9
 
0.1%
340795.977161 9
 
0.1%
341301.554735 9
 
0.1%
345032.238221 9
 
0.1%
343588.735555 8
 
0.1%
335806.191873 8
 
0.1%
Other values (8214) 9539
95.4%
(Missing) 364
 
3.6%
ValueCountFrequency (%)
326018.854532 1
< 0.1%
326205.731687 1
< 0.1%
326416.091709 1
< 0.1%
326421.112739 1
< 0.1%
326480.028928 1
< 0.1%
326603.386657 1
< 0.1%
326942.021443 1
< 0.1%
327182.773724 1
< 0.1%
327262.454229 1
< 0.1%
327336.916002 1
< 0.1%
ValueCountFrequency (%)
358030.599214 1
< 0.1%
358014.83602 2
< 0.1%
357908.12325 1
< 0.1%
357888.724162 1
< 0.1%
357870.136201 1
< 0.1%
357854.456686 2
< 0.1%
357832.242269 2
< 0.1%
357805.494255 1
< 0.1%
357646.727978 1
< 0.1%
357073.974572 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct8221
Distinct (%)85.3%
Missing364
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean263176.01
Minimum237836.28
Maximum278420.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:38.000497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237836.28
5-th percentile257163.34
Q1261294.62
median263435.37
Q3265467.11
95-th percentile270729.94
Maximum278420.71
Range40584.425
Interquartile range (IQR)4172.4847

Descriptive statistics

Standard deviation4773.7281
Coefficient of variation (CV)0.018138918
Kurtosis5.37292
Mean263176.01
Median Absolute Deviation (MAD)2092.9116
Skewness-1.3055503
Sum2.5359641 × 109
Variance22788480
MonotonicityNot monotonic
2024-04-18T06:11:38.116998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404337 12
 
0.1%
265132.987974 12
 
0.1%
262316.993409 11
 
0.1%
258741.90218 10
 
0.1%
262585.135012 9
 
0.1%
261627.701492 9
 
0.1%
265528.276593 9
 
0.1%
262949.871621 9
 
0.1%
264119.01075 8
 
0.1%
262543.472033 8
 
0.1%
Other values (8211) 9539
95.4%
(Missing) 364
 
3.6%
ValueCountFrequency (%)
237836.281929 1
< 0.1%
237929.89389 1
< 0.1%
237971.058832 1
< 0.1%
237997.974501 1
< 0.1%
239140.873211 1
< 0.1%
239796.547004 1
< 0.1%
239961.682617 1
< 0.1%
240157.668191 1
< 0.1%
240182.45542 1
< 0.1%
240194.872801 1
< 0.1%
ValueCountFrequency (%)
278420.706794 1
< 0.1%
278346.831908 1
< 0.1%
278234.464128 1
< 0.1%
278094.340226 1
< 0.1%
278029.090204 1
< 0.1%
277983.016281 1
< 0.1%
277980.139864 1
< 0.1%
277974.602303 1
< 0.1%
277950.266234 1
< 0.1%
277924.244474 1
< 0.1%

위생업태명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4786 
기타
1076 
식육(숯불구이)
678 
호프/통닭
677 
경양식
 
471
Other values (20)
2312 

Length

Max length15
Median length2
Mean length3.1561
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row통닭(치킨)
2nd row식육(숯불구이)
3rd row중국식
4th row식육(숯불구이)
5th row기타

Common Values

ValueCountFrequency (%)
한식 4786
47.9%
기타 1076
 
10.8%
식육(숯불구이) 678
 
6.8%
호프/통닭 677
 
6.8%
경양식 471
 
4.7%
통닭(치킨) 466
 
4.7%
분식 460
 
4.6%
중국식 370
 
3.7%
일식 233
 
2.3%
정종/대포집/소주방 180
 
1.8%
Other values (15) 603
 
6.0%

Length

2024-04-18T06:11:38.229461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4786
47.9%
기타 1076
 
10.8%
식육(숯불구이 678
 
6.8%
호프/통닭 677
 
6.8%
경양식 471
 
4.7%
통닭(치킨 466
 
4.7%
분식 460
 
4.6%
중국식 370
 
3.7%
일식 233
 
2.3%
정종/대포집/소주방 180
 
1.8%
Other values (15) 603
 
6.0%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.2%
Missing3282
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean0.27255135
Minimum0
Maximum35
Zeros5503
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:38.309533image/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 deviation0.93035413
Coefficient of variation (CV)3.4135003
Kurtosis424.73326
Mean0.27255135
Median Absolute Deviation (MAD)0
Skewness15.098333
Sum1831
Variance0.8655588
MonotonicityNot monotonic
2024-04-18T06:11:38.397793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5503
55.0%
1 904
 
9.0%
2 202
 
2.0%
3 62
 
0.6%
4 18
 
0.2%
6 8
 
0.1%
5 7
 
0.1%
7 4
 
< 0.1%
10 3
 
< 0.1%
8 2
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 3282
32.8%
ValueCountFrequency (%)
0 5503
55.0%
1 904
 
9.0%
2 202
 
2.0%
3 62
 
0.6%
4 18
 
0.2%
5 7
 
0.1%
6 8
 
0.1%
7 4
 
< 0.1%
8 2
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
25 1
 
< 0.1%
21 1
 
< 0.1%
16 1
 
< 0.1%
11 1
 
< 0.1%
10 3
 
< 0.1%
8 2
 
< 0.1%
7 4
< 0.1%
6 8
0.1%
5 7
0.1%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct15
Distinct (%)0.2%
Missing3150
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean0.43313869
Minimum0
Maximum78
Zeros5229
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:38.489218image/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 deviation1.4536132
Coefficient of variation (CV)3.3559995
Kurtosis1246.6091
Mean0.43313869
Median Absolute Deviation (MAD)0
Skewness26.405687
Sum2967
Variance2.1129913
MonotonicityNot monotonic
2024-04-18T06:11:38.589865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5229
52.3%
1 890
 
8.9%
2 495
 
5.0%
3 131
 
1.3%
4 52
 
0.5%
5 19
 
0.2%
7 11
 
0.1%
6 10
 
0.1%
8 4
 
< 0.1%
10 3
 
< 0.1%
Other values (5) 6
 
0.1%
(Missing) 3150
31.5%
ValueCountFrequency (%)
0 5229
52.3%
1 890
 
8.9%
2 495
 
5.0%
3 131
 
1.3%
4 52
 
0.5%
5 19
 
0.2%
6 10
 
0.1%
7 11
 
0.1%
8 4
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
78 1
 
< 0.1%
30 1
 
< 0.1%
27 1
 
< 0.1%
24 2
 
< 0.1%
10 3
 
< 0.1%
9 1
 
< 0.1%
8 4
 
< 0.1%
7 11
0.1%
6 10
0.1%
5 19
0.2%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4407 
기타
2954 
주택가주변
1887 
아파트지역
441 
유흥업소밀집지역
 
197
Other values (3)
 
114

Length

Max length8
Median length7
Mean length3.7656
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row기타
3rd row기타
4th row유흥업소밀집지역
5th row주택가주변

Common Values

ValueCountFrequency (%)
<NA> 4407
44.1%
기타 2954
29.5%
주택가주변 1887
18.9%
아파트지역 441
 
4.4%
유흥업소밀집지역 197
 
2.0%
학교정화(상대) 86
 
0.9%
학교정화(절대) 20
 
0.2%
결혼예식장주변 8
 
0.1%

Length

2024-04-18T06:11:38.692860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:38.784040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4407
44.1%
기타 2954
29.5%
주택가주변 1887
18.9%
아파트지역 441
 
4.4%
유흥업소밀집지역 197
 
2.0%
학교정화(상대 86
 
0.9%
학교정화(절대 20
 
0.2%
결혼예식장주변 8
 
0.1%

등급구분명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6111 
자율
2960 
기타
893 
우수
 
29
 
5

Length

Max length4
Median length4
Mean length3.2217
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6111
61.1%
자율 2960
29.6%
기타 893
 
8.9%
우수 29
 
0.3%
5
 
0.1%
지도 2
 
< 0.1%

Length

2024-04-18T06:11:38.907068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:38.990581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6111
61.1%
자율 2960
29.6%
기타 893
 
8.9%
우수 29
 
0.3%
5
 
< 0.1%
지도 2
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7603 
<NA>
2345 
지하수전용
 
36
간이상수도
 
14
전용상수도(특정시설의 자가용 수도)
 
1

Length

Max length19
Median length5
Mean length4.7681
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7603
76.0%
<NA> 2345
 
23.4%
지하수전용 36
 
0.4%
간이상수도 14
 
0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-04-18T06:11:39.079890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:39.164112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7603
76.0%
na 2345
 
23.4%
지하수전용 36
 
0.4%
간이상수도 14
 
0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8750 
0
1250 

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8750
87.5%
0 1250
 
12.5%

Length

2024-04-18T06:11:39.266351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:39.337392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8750
87.5%
0 1250
 
12.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8748 
0
1252 

Length

Max length4
Median length4
Mean length3.6244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8748
87.5%
0 1252
 
12.5%

Length

2024-04-18T06:11:39.414852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:39.487941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8748
87.5%
0 1252
 
12.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8748 
0
1252 

Length

Max length4
Median length4
Mean length3.6244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8748
87.5%
0 1252
 
12.5%

Length

2024-04-18T06:11:39.568910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:39.647976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8748
87.5%
0 1252
 
12.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8748 
0
1252 

Length

Max length4
Median length4
Mean length3.6244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8748
87.5%
0 1252
 
12.5%

Length

2024-04-18T06:11:39.725834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:39.808488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8748
87.5%
0 1252
 
12.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8748 
0
1252 

Length

Max length4
Median length4
Mean length3.6244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8748
87.5%
0 1252
 
12.5%

Length

2024-04-18T06:11:39.885990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:39.960272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8748
87.5%
0 1252
 
12.5%

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>
8748 
0
1252 

Length

Max length4
Median length4
Mean length3.6244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8748
87.5%
0 1252
 
12.5%

Length

2024-04-18T06:11:40.042724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:40.117294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8748
87.5%
0 1252
 
12.5%

월세액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8748 
0
1252 

Length

Max length4
Median length4
Mean length3.6244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8748
87.5%
0 1252
 
12.5%

Length

2024-04-18T06:11:40.200006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:11:40.275015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8748
87.5%
0 1252
 
12.5%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9683 
True
 
317
ValueCountFrequency (%)
False 9683
96.8%
True 317
 
3.2%
2024-04-18T06:11:40.336031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct5564
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.87796
Minimum0
Maximum2542
Zeros249
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:11:40.418372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.3895
Q128.7175
median47
Q384.1775
95-th percentile210.6015
Maximum2542
Range2542
Interquartile range (IQR)55.46

Descriptive statistics

Standard deviation94.277414
Coefficient of variation (CV)1.2936341
Kurtosis105.73234
Mean72.87796
Median Absolute Deviation (MAD)22.4
Skewness7.3126197
Sum728779.6
Variance8888.2307
MonotonicityNot monotonic
2024-04-18T06:11:40.547726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 249
 
2.5%
30.0 39
 
0.4%
33.0 36
 
0.4%
36.0 31
 
0.3%
66.0 29
 
0.3%
24.0 28
 
0.3%
26.4 26
 
0.3%
40.0 26
 
0.3%
31.5 24
 
0.2%
29.7 23
 
0.2%
Other values (5554) 9489
94.9%
ValueCountFrequency (%)
0.0 249
2.5%
3.0 1
 
< 0.1%
3.3 1
 
< 0.1%
4.4 1
 
< 0.1%
6.0 2
 
< 0.1%
6.24 1
 
< 0.1%
6.4 1
 
< 0.1%
6.48 2
 
< 0.1%
6.6 2
 
< 0.1%
7.2 1
 
< 0.1%
ValueCountFrequency (%)
2542.0 1
< 0.1%
1891.68 1
< 0.1%
1882.85 1
< 0.1%
1490.89 1
< 0.1%
1360.58 1
< 0.1%
1267.22 1
< 0.1%
1154.37 1
< 0.1%
1069.0 1
< 0.1%
1060.75 1
< 0.1%
1054.0 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)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
4160741608일반음식점07_24_04_P34500003450000-101-2008-0007520080317<NA>3폐업2폐업20090522<NA><NA><NA>053 314258045.80702863대구광역시 북구 태전동 206-25번지<NA><NA>왈가닥숯불닭바베큐20081015114140I2018-08-31 23:59:59.0통닭(치킨)339354.299376269984.961121통닭(치킨)11주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N45.8<NA><NA><NA>
1733717338일반음식점07_24_04_P34200003420000-101-1986-0000219860503<NA>1영업/정상1영업<NA><NA><NA><NA>053 958599970.15701816대구광역시 동구 신암동 331-10대구광역시 동구 신암남로 147 (신암동)41218청춘생막창20201021111529U2020-10-23 02:40:00.0식육(숯불구이)347170.687044265955.786648식육(숯불구이)00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N70.15<NA><NA><NA>
1218712188일반음식점07_24_04_P34200003420000-101-1985-0000919850417<NA>3폐업2폐업20051122<NA><NA><NA>053 959515817.02701841대구광역시 동구 효목동 957-5번지<NA><NA>중국성20041216000000I2018-08-31 23:59:59.0중국식347473.311497266214.568168중국식00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N17.02<NA><NA><NA>
6996269963일반음식점07_24_04_P34700003470000-101-2011-0009620110413<NA>3폐업2폐업20121112<NA><NA><NA>053 587 772380.00704921대구광역시 달서구 신당동 1721-8번지 (지상1층)대구광역시 달서구 서당로9길 35 (신당동,(지상1층))4260877번가(77st)20110425095713I2018-08-31 23:59:59.0식육(숯불구이)334844.590564262777.355813식육(숯불구이)<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N80.0<NA><NA><NA>
3772937730일반음식점07_24_04_P34500003450000-101-2002-0012320020327<NA>3폐업2폐업20070320<NA><NA><NA><NA>86.72702807대구광역시 북구 구암동 794-11번지<NA><NA>보고싶다친구야20020327000000I2018-08-31 23:59:59.0기타340910.378772271361.592237기타11주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N86.72<NA><NA><NA>
3508835089일반음식점07_24_04_P34500003450000-101-1993-0020919931214<NA>3폐업2폐업20061027<NA><NA><NA>352983420.39702816대구광역시 북구 노원동3가 764-5번지<NA><NA>신정식당20020611000000I2018-08-31 23:59:59.0한식341430.274105266572.143916한식00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N20.39<NA><NA><NA>
6082960830일반음식점07_24_04_P34600003460000-101-2021-0014520210423<NA>3폐업2폐업20220608<NA><NA><NA><NA>59.40706032대구광역시 수성구 수성동2가 96-1 1층대구광역시 수성구 수성로62길 40, 1층 (수성동2가)42132네이처팡푸드시스템20220608174536U2022-06-10 02:40:00.0분식345885.604904262596.843466분식00<NA><NA><NA>00000<NA>00N59.4<NA><NA><NA>
7545675457일반음식점07_24_04_P34700003470000-101-2015-0006120150302<NA>1영업/정상1영업<NA><NA><NA><NA>053 555 990098.80704936대구광역시 달서구 용산동 939-11대구광역시 달서구 용산서로 58, 1층 (용산동)42629호야네횟집20200713105152U2020-07-15 02:40:00.0횟집337731.632079262854.635455횟집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N98.8<NA><NA><NA>
5256352564일반음식점07_24_04_P34600003460000-101-2009-0017620090623<NA>3폐업2폐업20220613<NA><NA><NA>053 959 5380132.21706850대구광역시 수성구 황금동 416-1 외3필지대구광역시 수성구 청수로45길 48-9 (황금동,외3필지)42113대구상회20220613111140U2022-06-16 02:40:00.0식육(숯불구이)347525.855734261507.521259식육(숯불구이)00기타<NA>상수도전용00000<NA>00N132.21<NA><NA><NA>
73667367일반음식점07_24_04_P34100003410000-101-2017-0004220170224<NA>1영업/정상1영업<NA><NA><NA><NA><NA>114.24700412대구광역시 중구 삼덕동2가 0139-0008번지 지하1층대구광역시 중구 공평로 26-9 (삼덕동2가, 지하1층)41940노킹온헤븐스토어20170316105020I2018-08-31 23:59:59.0경양식344483.228171264087.366866경양식<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N114.24<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
39533954일반음식점07_24_04_P34100003410000-101-2004-0017520041004<NA>3폐업2폐업20090401<NA><NA><NA>053 425595723.80700040대구광역시 중구 사일동 0070번지<NA><NA>지인식당20071031162426I2018-08-31 23:59:59.0일식343962.817165264391.252823일식21기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N23.8<NA><NA><NA>
1692216923일반음식점07_24_04_P34200003420000-101-2011-0033220111215<NA>1영업/정상1영업<NA><NA><NA><NA>053 751525041.00701828대구광역시 동구 신천동 414-7번지대구광역시 동구 효신로5길 26 (신천동)41244다정큼목(木)막걸리20120106092316I2018-08-31 23:59:59.0정종/대포집/소주방347395.781109264997.306422정종/대포집/소주방<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N41.0<NA><NA><NA>
3973839739일반음식점07_24_04_P34500003450000-101-2003-0100720030808<NA>3폐업2폐업20060418<NA><NA><NA>384522912.00702800대구광역시 북구 검단동 1268-3 번지<NA><NA>신우동20041004000000I2018-08-31 23:59:59.0호프/통닭<NA><NA>호프/통닭01주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N12.0<NA><NA><NA>
4656646567일반음식점07_24_04_P34500003450000-101-2019-0001520190117<NA>1영업/정상1영업<NA><NA><NA><NA><NA>96.18702837대구광역시 북구 산격동 1270-1대구광역시 북구 동북로 151, 1층 (산격동)41519국밥관정20211125112841U2021-11-27 02:40:00.0한식345267.492933267833.799811한식<NA><NA>아파트지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N96.18<NA><NA><NA>
4804648047일반음식점07_24_04_P34600003460000-101-2017-0031320171017<NA>1영업/정상1영업<NA><NA><NA><NA>053 767 0909243.05706800대구광역시 수성구 두산동 119-3대구광역시 수성구 동대구로 51, 1층 (두산동)42175도마황금점20210720132130U2021-07-22 02:40:00.0한식346592.504469260645.386993한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N243.05<NA><NA><NA>
2374123742일반음식점07_24_04_P34300003430000-101-2004-0008120040329<NA>3폐업2폐업20081105<NA><NA><NA>00530357657330.00703806대구광역시 서구 내당동 897-18번지<NA><NA>엔식당20050429000000I2018-08-31 23:59:59.0한식341901.810024263789.5407한식00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N30.0<NA><NA><NA>
25412542일반음식점07_24_04_P34100003410000-101-1991-0010219911123<NA>3폐업2폐업20051031<NA><NA><NA>053 254070989.97700240대구광역시 중구 장관동 0026-0002번지 ,2(지상1층)<NA><NA>북경반점20040716000000I2018-08-31 23:59:59.0중국식343636.295543264320.272852중국식00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N89.97<NA><NA><NA>
3250232503일반음식점07_24_04_P34400003440000-101-2004-0016220040811<NA>1영업/정상1영업<NA><NA><NA><NA>053 652 537123.46705823대구광역시 남구 대명동 2276-5 대명시장상가158,159호대구광역시 남구 명덕로 60, 158,159호 (대명동, 대명시장상가)42400우진분식20210615153633U2021-06-17 02:40:00.0분식342391.257802263174.704821분식00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N23.46<NA><NA><NA>
5899758998일반음식점07_24_04_P34600003460000-101-2002-0009820020218<NA>3폐업2폐업20040303<NA><NA><NA>764141530.60706032대구광역시 수성구 수성동2가 112-2번지<NA><NA>안동찜닭식당20020227000000I2018-08-31 23:59:59.0기타345889.419053262474.15694기타00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.6<NA><NA><NA>
4017640177일반음식점07_24_04_P34500003450000-101-2004-0055620040602<NA>3폐업2폐업20160513<NA><NA><NA>053 355020239.60702815대구광역시 북구 노원동3가 239-7번지대구광역시 북구 3공단로 88-1 (노원동3가)41497팔도슈퍼20140205173700I2018-08-31 23:59:59.0한식340992.721511267257.701348한식02기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N39.6<NA><NA><NA>