Overview

Dataset statistics

Number of variables30
Number of observations88
Missing cells716
Missing cells (%)27.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory253.5 B

Variable types

Numeric5
Categorical8
DateTime4
Unsupported5
Text8

Dataset

Description24년03월_6270000_대구광역시_11_43_01_P_담배도매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106760&dataSetDetailId=DDI_0000106770&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
데이터갱신일자 is highly imbalanced (61.2%)Imbalance
인허가취소일자 has 85 (96.6%) missing valuesMissing
폐업일자 has 32 (36.4%) missing valuesMissing
휴업시작일자 has 88 (100.0%) missing valuesMissing
휴업종료일자 has 88 (100.0%) missing valuesMissing
재개업일자 has 88 (100.0%) missing valuesMissing
소재지전화 has 46 (52.3%) missing valuesMissing
소재지면적 has 88 (100.0%) missing valuesMissing
소재지우편번호 has 16 (18.2%) missing valuesMissing
소재지전체주소 has 9 (10.2%) missing valuesMissing
도로명전체주소 has 22 (25.0%) missing valuesMissing
도로명우편번호 has 56 (63.6%) missing valuesMissing
업태구분명 has 88 (100.0%) missing valuesMissing
좌표정보(X) has 5 (5.7%) missing valuesMissing
좌표정보(Y) has 5 (5.7%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 12:52:52.969424
Analysis finished2024-04-29 12:52:53.695349
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-29T21:52:53.776247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2024-04-29T21:52:53.911711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
담배도매업
88 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담배도매업 88
100.0%

Length

2024-04-29T21:52:54.015127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:52:54.105007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배도매업 88
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
11_43_01_P
88 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_43_01_P
2nd row11_43_01_P
3rd row11_43_01_P
4th row11_43_01_P
5th row11_43_01_P

Common Values

ValueCountFrequency (%)
11_43_01_P 88
100.0%

Length

2024-04-29T21:52:54.189623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:52:54.279146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_43_01_p 88
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3460011.4
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-29T21:52:54.364005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation182598.14
Coefficient of variation (CV)0.052773855
Kurtosis85.347644
Mean3460011.4
Median Absolute Deviation (MAD)20000
Skewness9.1706368
Sum3.04481 × 108
Variance3.334208 × 1010
MonotonicityIncreasing
2024-04-29T21:52:54.477729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3440000 17
19.3%
3410000 15
17.0%
3420000 13
14.8%
3450000 11
12.5%
3470000 10
11.4%
3460000 9
10.2%
3430000 6
 
6.8%
3480000 6
 
6.8%
5141000 1
 
1.1%
ValueCountFrequency (%)
3410000 15
17.0%
3420000 13
14.8%
3430000 6
 
6.8%
3440000 17
19.3%
3450000 11
12.5%
3460000 9
10.2%
3470000 10
11.4%
3480000 6
 
6.8%
5141000 1
 
1.1%
ValueCountFrequency (%)
5141000 1
 
1.1%
3480000 6
 
6.8%
3470000 10
11.4%
3460000 9
10.2%
3450000 11
12.5%
3440000 17
19.3%
3430000 6
 
6.8%
3420000 13
14.8%
3410000 15
17.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0106415 × 1018
Minimum1.991347 × 1018
Maximum2.021343 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-29T21:52:54.608984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.002692 × 1018
Q12.0083445 × 1018
median2.010344 × 1018
Q32.013347 × 1018
95-th percentile2.019344 × 1018
Maximum2.021343 × 1018
Range2.9995998 × 1016
Interquartile range (IQR)5.0025026 × 1015

Descriptive statistics

Standard deviation4.792034 × 1015
Coefficient of variation (CV)0.0023833359
Kurtosis2.8717372
Mean2.0106415 × 1018
Median Absolute Deviation (MAD)2.5 × 1015
Skewness-0.62299019
Sum-7.5309918 × 1018
Variance2.296359 × 1031
MonotonicityNot monotonic
2024-04-29T21:52:54.757082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341007115500001 1
 
1.1%
2011344009215500003 1
 
1.1%
2007346008115500001 1
 
1.1%
2015346014015500001 1
 
1.1%
2009346010215500001 1
 
1.1%
2019346014015500001 1
 
1.1%
2010345009915500001 1
 
1.1%
2008345009915500001 1
 
1.1%
2007345009905100006 1
 
1.1%
2007345009905100005 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1991347011715500028 1
1.1%
1997342009005100001 1
1.1%
2000342009005100001 1
1.1%
2002342009005100001 1
1.1%
2002342009005100002 1
1.1%
2003342009005100001 1
1.1%
2005342009015100006 1
1.1%
2006341007115600001 1
1.1%
2007342009015100001 1
1.1%
2007342009015100002 1
1.1%
ValueCountFrequency (%)
2021343009515500001 1
1.1%
2020348036515500001 1
1.1%
2020345016015500001 1
1.1%
2019346014015500001 1
1.1%
2019344012415500002 1
1.1%
2019344012415500001 1
1.1%
2019344011315500001 1
1.1%
2015348032615500001 1
1.1%
2015347011715500002 1
1.1%
2015347011715500001 1
1.1%

인허가일자
Date

Distinct82
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum1991-12-13 00:00:00
Maximum2021-11-17 00:00:00
2024-04-29T21:52:54.890299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:52:55.040886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing85
Missing (%)96.6%
Memory size836.0 B
Minimum2009-10-05 00:00:00
Maximum2018-03-05 00:00:00
2024-04-29T21:52:55.137799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:52:55.221986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
3
56 
1
29 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 56
63.6%
1 29
33.0%
4 3
 
3.4%

Length

2024-04-29T21:52:55.327813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:52:55.429480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 56
63.6%
1 29
33.0%
4 3
 
3.4%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업
56 
영업/정상
29 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.3977273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 56
63.6%
영업/정상 29
33.0%
취소/말소/만료/정지/중지 3
 
3.4%

Length

2024-04-29T21:52:55.533084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:52:55.639259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 56
63.6%
영업/정상 29
33.0%
취소/말소/만료/정지/중지 3
 
3.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
3
56 
1
29 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 56
63.6%
1 29
33.0%
4 3
 
3.4%

Length

2024-04-29T21:52:55.914967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:52:56.026030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 56
63.6%
1 29
33.0%
4 3
 
3.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업처리
56 
정상영업
29 
직권취소
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 56
63.6%
정상영업 29
33.0%
직권취소 3
 
3.4%

Length

2024-04-29T21:52:56.137569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:52:56.242169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 56
63.6%
정상영업 29
33.0%
직권취소 3
 
3.4%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)92.9%
Missing32
Missing (%)36.4%
Memory size836.0 B
Minimum2005-01-27 00:00:00
Maximum2022-06-29 00:00:00
2024-04-29T21:52:56.381701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:52:56.535978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지전화
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing46
Missing (%)52.3%
Memory size836.0 B
2024-04-29T21:52:56.748800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.714286
Min length7

Characters and Unicode

Total characters450
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)95.2%

Sample

1st row294-9372
2nd row426-9872
3rd row053-421-3721
4th row053- 252-2122
5th row753-5319
ValueCountFrequency (%)
053-982-7026 2
 
4.7%
3570129 1
 
2.3%
053-582-7396~9 1
 
2.3%
294-9372 1
 
2.3%
070-8031-1700 1
 
2.3%
471-8987 1
 
2.3%
621-3426 1
 
2.3%
9437883 1
 
2.3%
351-7777 1
 
2.3%
6092000 1
 
2.3%
Other values (32) 32
74.4%
2024-04-29T21:52:57.095499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
14.2%
3 63
14.0%
5 57
12.7%
0 49
10.9%
2 44
9.8%
7 42
9.3%
9 33
7.3%
4 27
6.0%
1 25
 
5.6%
6 23
 
5.1%
Other values (3) 23
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
85.3%
Dash Punctuation 64
 
14.2%
Space Separator 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 63
16.4%
5 57
14.8%
0 49
12.8%
2 44
11.5%
7 42
10.9%
9 33
8.6%
4 27
7.0%
1 25
 
6.5%
6 23
 
6.0%
8 21
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 450
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
14.2%
3 63
14.0%
5 57
12.7%
0 49
10.9%
2 44
9.8%
7 42
9.3%
9 33
7.3%
4 27
6.0%
1 25
 
5.6%
6 23
 
5.1%
Other values (3) 23
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
14.2%
3 63
14.0%
5 57
12.7%
0 49
10.9%
2 44
9.8%
7 42
9.3%
9 33
7.3%
4 27
6.0%
1 25
 
5.6%
6 23
 
5.1%
Other values (3) 23
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지우편번호
Text

MISSING 

Distinct58
Distinct (%)80.6%
Missing16
Missing (%)18.2%
Memory size836.0 B
2024-04-29T21:52:57.321735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters504
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

Unique47 ?
Unique (%)65.3%

Sample

1st row700-423
2nd row700-443
3rd row700-070
4th row700-070
5th row700-400
ValueCountFrequency (%)
700-070 3
 
4.2%
706-010 3
 
4.2%
702-050 3
 
4.2%
701-030 2
 
2.8%
704-060 2
 
2.8%
701-010 2
 
2.8%
706-220 2
 
2.8%
705-753 2
 
2.8%
705-800 2
 
2.8%
705-825 2
 
2.8%
Other values (48) 49
68.1%
2024-04-29T21:52:57.659420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
29.0%
7 81
16.1%
- 72
14.3%
1 44
 
8.7%
8 37
 
7.3%
2 34
 
6.7%
5 28
 
5.6%
3 26
 
5.2%
4 19
 
3.8%
6 16
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
85.7%
Dash Punctuation 72
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
33.8%
7 81
18.8%
1 44
 
10.2%
8 37
 
8.6%
2 34
 
7.9%
5 28
 
6.5%
3 26
 
6.0%
4 19
 
4.4%
6 16
 
3.7%
9 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
29.0%
7 81
16.1%
- 72
14.3%
1 44
 
8.7%
8 37
 
7.3%
2 34
 
6.7%
5 28
 
5.6%
3 26
 
5.2%
4 19
 
3.8%
6 16
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
29.0%
7 81
16.1%
- 72
14.3%
1 44
 
8.7%
8 37
 
7.3%
2 34
 
6.7%
5 28
 
5.6%
3 26
 
5.2%
4 19
 
3.8%
6 16
 
3.2%

소재지전체주소
Text

MISSING 

Distinct75
Distinct (%)94.9%
Missing9
Missing (%)10.2%
Memory size836.0 B
2024-04-29T21:52:57.932604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length23.379747
Min length12

Characters and Unicode

Total characters1847
Distinct characters126
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)92.4%

Sample

1st row대구광역시 중구 동인동3가 211번지 2호
2nd row대구광역시 중구 남산동 2409번지 2호 대원빌딩 404호
3rd row대구광역시 중구 덕산동 88번지 메트로센터 W402
4th row대구광역시 중구 덕산동 88번지 메트로센터 E418호
5th row대구광역시 중구 봉산동 153번지 1호
ValueCountFrequency (%)
대구광역시 79
 
19.3%
남구 17
 
4.2%
동구 12
 
2.9%
중구 12
 
2.9%
북구 10
 
2.4%
2호 9
 
2.2%
수성구 9
 
2.2%
1호 8
 
2.0%
달서구 6
 
1.5%
달성군 6
 
1.5%
Other values (182) 241
58.9%
2024-04-29T21:52:58.340545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
18.0%
구 152
 
8.2%
대 94
 
5.1%
동 92
 
5.0%
시 83
 
4.5%
광 79
 
4.3%
역 79
 
4.3%
지 73
 
4.0%
번 70
 
3.8%
호 64
 
3.5%
Other values (116) 728
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1127
61.0%
Decimal Number 373
 
20.2%
Space Separator 333
 
18.0%
Dash Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.2%
Other Punctuation 3
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 152
13.5%
대 94
 
8.3%
동 92
 
8.2%
시 83
 
7.4%
광 79
 
7.0%
역 79
 
7.0%
지 73
 
6.5%
번 70
 
6.2%
호 64
 
5.7%
남 20
 
1.8%
Other values (96) 321
28.5%
Decimal Number
ValueCountFrequency (%)
1 63
16.9%
2 60
16.1%
3 39
10.5%
5 35
9.4%
0 35
9.4%
8 34
9.1%
4 33
8.8%
9 26
7.0%
7 24
 
6.4%
6 24
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
B 1
25.0%
C 1
25.0%
E 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1127
61.0%
Common 716
38.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 152
13.5%
대 94
 
8.3%
동 92
 
8.2%
시 83
 
7.4%
광 79
 
7.0%
역 79
 
7.0%
지 73
 
6.5%
번 70
 
6.2%
호 64
 
5.7%
남 20
 
1.8%
Other values (96) 321
28.5%
Common
ValueCountFrequency (%)
333
46.5%
1 63
 
8.8%
2 60
 
8.4%
3 39
 
5.4%
5 35
 
4.9%
0 35
 
4.9%
8 34
 
4.7%
4 33
 
4.6%
9 26
 
3.6%
7 24
 
3.4%
Other values (6) 34
 
4.7%
Latin
ValueCountFrequency (%)
W 1
25.0%
B 1
25.0%
C 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1127
61.0%
ASCII 720
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
46.2%
1 63
 
8.8%
2 60
 
8.3%
3 39
 
5.4%
5 35
 
4.9%
0 35
 
4.9%
8 34
 
4.7%
4 33
 
4.6%
9 26
 
3.6%
7 24
 
3.3%
Other values (10) 38
 
5.3%
Hangul
ValueCountFrequency (%)
구 152
13.5%
대 94
 
8.3%
동 92
 
8.2%
시 83
 
7.4%
광 79
 
7.0%
역 79
 
7.0%
지 73
 
6.5%
번 70
 
6.2%
호 64
 
5.7%
남 20
 
1.8%
Other values (96) 321
28.5%

도로명전체주소
Text

MISSING 

Distinct64
Distinct (%)97.0%
Missing22
Missing (%)25.0%
Memory size836.0 B
2024-04-29T21:52:58.620079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length27.242424
Min length20

Characters and Unicode

Total characters1798
Distinct characters131
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)93.9%

Sample

1st row대구광역시 중구 동덕로36길 127 (동인동3가)
2nd row대구광역시 중구 남산로 14, 404호 (남산동,대원빌딩)
3rd row대구광역시 중구 달구벌대로 지하 2100 (덕산동,메트로센터 W402)
4th row대구광역시 중구 달구벌대로 지하 2100 (덕산동,메트로센터 E418호)
5th row대구광역시 중구 달구벌대로 2135 (봉산동)
ValueCountFrequency (%)
대구광역시 66
 
18.2%
남구 17
 
4.7%
중구 15
 
4.1%
대명동 11
 
3.0%
달서구 10
 
2.8%
수성구 9
 
2.5%
달구벌대로 9
 
2.5%
1층 7
 
1.9%
달성군 6
 
1.7%
서구 5
 
1.4%
Other values (167) 208
57.3%
2024-04-29T21:52:59.042511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
16.5%
구 137
 
7.6%
대 101
 
5.6%
1 88
 
4.9%
동 72
 
4.0%
시 71
 
3.9%
역 67
 
3.7%
로 67
 
3.7%
광 66
 
3.7%
( 59
 
3.3%
Other values (121) 773
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1046
58.2%
Space Separator 297
 
16.5%
Decimal Number 290
 
16.1%
Open Punctuation 59
 
3.3%
Close Punctuation 59
 
3.3%
Other Punctuation 29
 
1.6%
Dash Punctuation 13
 
0.7%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 137
 
13.1%
대 101
 
9.7%
동 72
 
6.9%
시 71
 
6.8%
역 67
 
6.4%
로 67
 
6.4%
광 66
 
6.3%
달 29
 
2.8%
길 25
 
2.4%
성 25
 
2.4%
Other values (101) 386
36.9%
Decimal Number
ValueCountFrequency (%)
1 88
30.3%
2 44
15.2%
3 29
 
10.0%
0 29
 
10.0%
4 26
 
9.0%
8 19
 
6.6%
6 17
 
5.9%
7 16
 
5.5%
5 15
 
5.2%
9 7
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
F 1
20.0%
E 1
20.0%
W 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1046
58.2%
Common 747
41.5%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 137
 
13.1%
대 101
 
9.7%
동 72
 
6.9%
시 71
 
6.8%
역 67
 
6.4%
로 67
 
6.4%
광 66
 
6.3%
달 29
 
2.8%
길 25
 
2.4%
성 25
 
2.4%
Other values (101) 386
36.9%
Common
ValueCountFrequency (%)
297
39.8%
1 88
 
11.8%
( 59
 
7.9%
) 59
 
7.9%
2 44
 
5.9%
, 29
 
3.9%
3 29
 
3.9%
0 29
 
3.9%
4 26
 
3.5%
8 19
 
2.5%
Other values (5) 68
 
9.1%
Latin
ValueCountFrequency (%)
B 1
20.0%
F 1
20.0%
E 1
20.0%
W 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1046
58.2%
ASCII 752
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
39.5%
1 88
 
11.7%
( 59
 
7.8%
) 59
 
7.8%
2 44
 
5.9%
, 29
 
3.9%
3 29
 
3.9%
0 29
 
3.9%
4 26
 
3.5%
8 19
 
2.5%
Other values (10) 73
 
9.7%
Hangul
ValueCountFrequency (%)
구 137
 
13.1%
대 101
 
9.7%
동 72
 
6.9%
시 71
 
6.8%
역 67
 
6.4%
로 67
 
6.4%
광 66
 
6.3%
달 29
 
2.8%
길 25
 
2.4%
성 25
 
2.4%
Other values (101) 386
36.9%

도로명우편번호
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing56
Missing (%)63.6%
Memory size836.0 B
2024-04-29T21:52:59.241486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.5625
Min length5

Characters and Unicode

Total characters210
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

Unique28 ?
Unique (%)87.5%

Sample

1st row700-822
2nd row700-823
3rd row700-826
4th row700-180
5th row700-805
ValueCountFrequency (%)
705-800 2
 
6.2%
705-753 2
 
6.2%
41582 1
 
3.1%
711-815 1
 
3.1%
711-830 1
 
3.1%
704-923 1
 
3.1%
704-905 1
 
3.1%
704-817 1
 
3.1%
704-814 1
 
3.1%
704-911 1
 
3.1%
Other values (20) 20
62.5%
2024-04-29T21:52:59.563423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
20.5%
7 33
15.7%
- 25
11.9%
8 22
10.5%
4 20
9.5%
1 19
9.0%
5 16
 
7.6%
2 14
 
6.7%
3 8
 
3.8%
6 5
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 185
88.1%
Dash Punctuation 25
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
23.2%
7 33
17.8%
8 22
11.9%
4 20
10.8%
1 19
10.3%
5 16
 
8.6%
2 14
 
7.6%
3 8
 
4.3%
6 5
 
2.7%
9 5
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
20.5%
7 33
15.7%
- 25
11.9%
8 22
10.5%
4 20
9.5%
1 19
9.0%
5 16
 
7.6%
2 14
 
6.7%
3 8
 
3.8%
6 5
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
20.5%
7 33
15.7%
- 25
11.9%
8 22
10.5%
4 20
9.5%
1 19
9.0%
5 16
 
7.6%
2 14
 
6.7%
3 8
 
3.8%
6 5
 
2.4%

사업장명
Text

Distinct83
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-04-29T21:52:59.781133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.8068182
Min length2

Characters and Unicode

Total characters687
Distinct characters154
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)88.6%

Sample

1st row우리담배중구대리점
2nd row전자담배
3rd row가피
4th row잔티대구중구점
5th row페로젠 중구점
ValueCountFrequency (%)
한국전자담배 6
 
5.6%
전자담배 5
 
4.6%
스누스코리아 3
 
2.8%
돔돔코리아 2
 
1.9%
듀바코 2
 
1.9%
드림텍 2
 
1.9%
가피 2
 
1.9%
주식회사 2
 
1.9%
우리담배 2
 
1.9%
한국전자담배칠곡점 1
 
0.9%
Other values (81) 81
75.0%
2024-04-29T21:53:00.154498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 33
 
4.8%
배 30
 
4.4%
담 30
 
4.4%
구 26
 
3.8%
대 25
 
3.6%
전 24
 
3.5%
자 24
 
3.5%
코 23
 
3.3%
스 21
 
3.1%
21
 
3.1%
Other values (144) 430
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
90.2%
Space Separator 21
 
3.1%
Close Punctuation 14
 
2.0%
Open Punctuation 14
 
2.0%
Uppercase Letter 11
 
1.6%
Lowercase Letter 3
 
0.4%
Other Punctuation 2
 
0.3%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 33
 
5.3%
배 30
 
4.8%
담 30
 
4.8%
구 26
 
4.2%
대 25
 
4.0%
전 24
 
3.9%
자 24
 
3.9%
코 23
 
3.7%
스 21
 
3.4%
점 20
 
3.2%
Other values (129) 364
58.7%
Uppercase Letter
ValueCountFrequency (%)
M 2
18.2%
C 2
18.2%
K 2
18.2%
T 2
18.2%
J 2
18.2%
S 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
o 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
90.2%
Common 53
 
7.7%
Latin 14
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 33
 
5.3%
배 30
 
4.8%
담 30
 
4.8%
구 26
 
4.2%
대 25
 
4.0%
전 24
 
3.9%
자 24
 
3.9%
코 23
 
3.7%
스 21
 
3.4%
점 20
 
3.2%
Other values (129) 364
58.7%
Latin
ValueCountFrequency (%)
M 2
14.3%
C 2
14.3%
K 2
14.3%
T 2
14.3%
J 2
14.3%
S 1
7.1%
y 1
7.1%
o 1
7.1%
e 1
7.1%
Common
ValueCountFrequency (%)
21
39.6%
) 14
26.4%
( 14
26.4%
& 2
 
3.8%
1 1
 
1.9%
- 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
90.2%
ASCII 67
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 33
 
5.3%
배 30
 
4.8%
담 30
 
4.8%
구 26
 
4.2%
대 25
 
4.0%
전 24
 
3.9%
자 24
 
3.9%
코 23
 
3.7%
스 21
 
3.4%
점 20
 
3.2%
Other values (129) 364
58.7%
ASCII
ValueCountFrequency (%)
21
31.3%
) 14
20.9%
( 14
20.9%
M 2
 
3.0%
C 2
 
3.0%
K 2
 
3.0%
& 2
 
3.0%
T 2
 
3.0%
J 2
 
3.0%
S 1
 
1.5%
Other values (5) 5
 
7.5%

최종수정시점
Date

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2007-07-18 16:57:52
Maximum2024-01-10 10:02:53
2024-04-29T21:53:00.298033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:53:00.444744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
I
74 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 74
84.1%
U 14
 
15.9%

Length

2024-04-29T21:53:00.561918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:53:00.649409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
84.1%
u 14
 
15.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct19
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2018-08-31 23:59:59
69 
2022-12-07 02:40:00
 
2
2020-02-08 02:40:00
 
1
2021-01-31 02:40:00
 
1
2021-11-19 00:22:44
 
1
Other values (14)
14 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique17 ?
Unique (%)19.3%

Sample

1st row2018-08-31 23:59:59
2nd row2018-08-31 23:59:59
3rd row2018-08-31 23:59:59
4th row2018-08-31 23:59:59
5th row2018-08-31 23:59:59

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 69
78.4%
2022-12-07 02:40:00 2
 
2.3%
2020-02-08 02:40:00 1
 
1.1%
2021-01-31 02:40:00 1
 
1.1%
2021-11-19 00:22:44 1
 
1.1%
2023-05-24 02:40:00 1
 
1.1%
2019-07-11 02:21:33 1
 
1.1%
2022-07-01 02:40:00 1
 
1.1%
2023-03-25 02:40:00 1
 
1.1%
2024-01-12 02:40:00 1
 
1.1%
Other values (9) 9
 
10.2%

Length

2024-04-29T21:53:00.780953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 69
39.2%
23:59:59 69
39.2%
02:40:00 14
 
8.0%
2022-12-07 2
 
1.1%
2021-02-06 1
 
0.6%
2023-07-01 1
 
0.6%
00:23:05 1
 
0.6%
2020-12-23 1
 
0.6%
2019-02-17 1
 
0.6%
2021-12-10 1
 
0.6%
Other values (16) 16
 
9.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)92.8%
Missing5
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean343095.5
Minimum329727.56
Maximum355055.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-29T21:53:00.896318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329727.56
5-th percentile335339.38
Q1341152.1
median343354.53
Q3345464.66
95-th percentile347997.48
Maximum355055.37
Range25327.817
Interquartile range (IQR)4312.5573

Descriptive statistics

Standard deviation4520.9418
Coefficient of variation (CV)0.01317692
Kurtosis1.6917865
Mean343095.5
Median Absolute Deviation (MAD)2158.9199
Skewness-0.39667581
Sum28476927
Variance20438915
MonotonicityNot monotonic
2024-04-29T21:53:01.049267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343820.407679695 3
 
3.4%
343172.723078068 2
 
2.3%
347950.194974987 2
 
2.3%
342423.108912961 2
 
2.3%
343646.824023405 2
 
2.3%
343426.503752301 1
 
1.1%
344773.876775398 1
 
1.1%
344517.552518166 1
 
1.1%
344673.099271508 1
 
1.1%
346036.906143267 1
 
1.1%
Other values (67) 67
76.1%
(Missing) 5
 
5.7%
ValueCountFrequency (%)
329727.557828926 1
1.1%
330488.931731201 1
1.1%
332043.385293457 1
1.1%
332494.959958584 1
1.1%
335242.047737154 1
1.1%
336215.346498752 1
1.1%
336327.78511389 1
1.1%
336985.688336408 1
1.1%
338339.664509256 1
1.1%
338417.790084496 1
1.1%
ValueCountFrequency (%)
355055.374436131 1
1.1%
353414.50728812 1
1.1%
353224.135223336 1
1.1%
352933.156935475 1
1.1%
348002.735402028 1
1.1%
347950.194974987 2
2.3%
347905.252912818 1
1.1%
347573.795842183 1
1.1%
347512.777224081 1
1.1%
347182.029740772 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)92.8%
Missing5
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean263954.71
Minimum245060.28
Maximum305260.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-29T21:53:01.188977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245060.28
5-th percentile258016.68
Q1261739.85
median263522.18
Q3265385.12
95-th percentile270007.12
Maximum305260.83
Range60200.548
Interquartile range (IQR)3645.2721

Descriptive statistics

Standard deviation5980.21
Coefficient of variation (CV)0.022656197
Kurtosis28.495429
Mean263954.71
Median Absolute Deviation (MAD)1785.464
Skewness3.6526771
Sum21908241
Variance35762912
MonotonicityNot monotonic
2024-04-29T21:53:01.320884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.876070282 3
 
3.4%
267867.207323325 2
 
2.3%
265687.625739554 2
 
2.3%
261072.935399243 2
 
2.3%
262777.685387798 2
 
2.3%
268028.453147731 1
 
1.1%
265051.06004696 1
 
1.1%
270018.826174829 1
 
1.1%
266674.880337189 1
 
1.1%
261310.283134581 1
 
1.1%
Other values (67) 67
76.1%
(Missing) 5
 
5.7%
ValueCountFrequency (%)
245060.280400727 1
1.1%
252000.850251178 1
1.1%
256802.503817784 1
1.1%
257414.60230357 1
1.1%
257984.331601552 1
1.1%
258307.853881571 1
1.1%
258474.165920463 1
1.1%
259971.473772111 1
1.1%
260408.077425703 1
1.1%
260505.234213702 1
1.1%
ValueCountFrequency (%)
305260.828135376 1
1.1%
271717.976927625 1
1.1%
271202.622288733 1
1.1%
270561.614812354 1
1.1%
270018.826174829 1
1.1%
269901.794963631 1
1.1%
269834.782750219 1
1.1%
268028.453147731 1
1.1%
267867.207323325 2
2.3%
266964.360807082 1
1.1%

취급제품명
Text

Distinct56
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-04-29T21:53:01.541837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length46
Mean length11
Min length2

Characters and Unicode

Total characters968
Distinct characters164
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)56.8%

Sample

1st row위고one, 위고blue, 위고wine, 스윙one, 스윙
2nd row루옌전자담배
3rd row901B, Joy501 (전자담배)
4th row전자담배 잔티(Janty)기기, 카트리지, 액상
5th row전자담배 제루트
ValueCountFrequency (%)
전자담배 38
 
21.7%
액상 8
 
4.6%
위고 7
 
4.0%
스윙 7
 
4.0%
및 4
 
2.3%
담배대용품 3
 
1.7%
등 3
 
1.7%
위고one 3
 
1.7%
위고blue 3
 
1.7%
위고wine 3
 
1.7%
Other values (77) 96
54.9%
2024-04-29T21:53:01.921783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
9.0%
, 69
 
7.1%
배 65
 
6.7%
담 64
 
6.6%
전 51
 
5.3%
자 51
 
5.3%
위 23
 
2.4%
고 23
 
2.4%
스 20
 
2.1%
( 17
 
1.8%
Other values (154) 498
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
60.7%
Lowercase Letter 89
 
9.2%
Space Separator 87
 
9.0%
Other Punctuation 73
 
7.5%
Uppercase Letter 65
 
6.7%
Decimal Number 32
 
3.3%
Open Punctuation 17
 
1.8%
Close Punctuation 17
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
배 65
 
11.1%
담 64
 
10.9%
전 51
 
8.7%
자 51
 
8.7%
위 23
 
3.9%
고 23
 
3.9%
스 20
 
3.4%
윙 13
 
2.2%
트 13
 
2.2%
드 11
 
1.9%
Other values (100) 254
43.2%
Uppercase Letter
ValueCountFrequency (%)
M 8
12.3%
A 8
12.3%
B 5
 
7.7%
L 4
 
6.2%
E 4
 
6.2%
J 4
 
6.2%
D 4
 
6.2%
P 3
 
4.6%
G 3
 
4.6%
O 3
 
4.6%
Other values (11) 19
29.2%
Lowercase Letter
ValueCountFrequency (%)
e 15
16.9%
n 14
15.7%
i 8
9.0%
g 7
7.9%
o 7
7.9%
l 6
 
6.7%
k 6
 
6.7%
a 5
 
5.6%
s 4
 
4.5%
u 3
 
3.4%
Other values (8) 14
15.7%
Decimal Number
ValueCountFrequency (%)
0 14
43.8%
1 6
18.8%
5 3
 
9.4%
9 3
 
9.4%
2 3
 
9.4%
4 1
 
3.1%
3 1
 
3.1%
8 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 69
94.5%
" 2
 
2.7%
. 1
 
1.4%
/ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
60.7%
Common 226
 
23.3%
Latin 154
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
배 65
 
11.1%
담 64
 
10.9%
전 51
 
8.7%
자 51
 
8.7%
위 23
 
3.9%
고 23
 
3.9%
스 20
 
3.4%
윙 13
 
2.2%
트 13
 
2.2%
드 11
 
1.9%
Other values (100) 254
43.2%
Latin
ValueCountFrequency (%)
e 15
 
9.7%
n 14
 
9.1%
i 8
 
5.2%
M 8
 
5.2%
A 8
 
5.2%
g 7
 
4.5%
o 7
 
4.5%
l 6
 
3.9%
k 6
 
3.9%
a 5
 
3.2%
Other values (29) 70
45.5%
Common
ValueCountFrequency (%)
87
38.5%
, 69
30.5%
( 17
 
7.5%
) 17
 
7.5%
0 14
 
6.2%
1 6
 
2.7%
5 3
 
1.3%
9 3
 
1.3%
2 3
 
1.3%
" 2
 
0.9%
Other values (5) 5
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
60.7%
ASCII 380
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
22.9%
, 69
18.2%
( 17
 
4.5%
) 17
 
4.5%
e 15
 
3.9%
0 14
 
3.7%
n 14
 
3.7%
i 8
 
2.1%
M 8
 
2.1%
A 8
 
2.1%
Other values (44) 123
32.4%
Hangul
ValueCountFrequency (%)
배 65
 
11.1%
담 64
 
10.9%
전 51
 
8.7%
자 51
 
8.7%
위 23
 
3.9%
고 23
 
3.9%
스 20
 
3.4%
윙 13
 
2.2%
트 13
 
2.2%
드 11
 
1.9%
Other values (100) 254
43.2%

담배공급업체명
Text

Distinct63
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-04-29T21:53:02.132522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length27
Mean length10.352273
Min length2

Characters and Unicode

Total characters911
Distinct characters169
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)60.2%

Sample

1st row우리담배판매주식회사
2nd row(주)한국전자담배
3rd row가비엠
4th row(주)잔티코리아
5th row(주)페로젠
ValueCountFrequency (%)
주)한국전자담배 13
 
10.7%
우리담배판매주식회사 5
 
4.1%
주)스누스코리아 5
 
4.1%
주)영남토바코컴퍼니 4
 
3.3%
주식회사 4
 
3.3%
주)빅토리베이프코리아 3
 
2.5%
드림씨가텍 2
 
1.7%
영남총판 2
 
1.7%
전자담배 2
 
1.7%
2
 
1.7%
Other values (74) 79
65.3%
2024-04-29T21:53:02.473768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 61
 
6.7%
) 53
 
5.8%
( 53
 
5.8%
담 33
 
3.6%
배 33
 
3.6%
33
 
3.6%
리 31
 
3.4%
코 24
 
2.6%
자 23
 
2.5%
전 22
 
2.4%
Other values (159) 545
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
68.2%
Lowercase Letter 79
 
8.7%
Uppercase Letter 56
 
6.1%
Close Punctuation 53
 
5.8%
Open Punctuation 53
 
5.8%
Space Separator 33
 
3.6%
Other Punctuation 13
 
1.4%
Dash Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 61
 
9.8%
담 33
 
5.3%
배 33
 
5.3%
리 31
 
5.0%
코 24
 
3.9%
자 23
 
3.7%
전 22
 
3.5%
아 19
 
3.1%
한 18
 
2.9%
스 18
 
2.9%
Other values (116) 339
54.6%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.4%
e 8
10.1%
r 8
10.1%
n 8
10.1%
l 6
 
7.6%
a 6
 
7.6%
i 5
 
6.3%
k 4
 
5.1%
t 4
 
5.1%
c 4
 
5.1%
Other values (9) 17
21.5%
Uppercase Letter
ValueCountFrequency (%)
T 8
14.3%
M 7
12.5%
A 6
10.7%
C 5
8.9%
R 5
8.9%
N 4
7.1%
I 4
7.1%
O 3
 
5.4%
L 3
 
5.4%
G 2
 
3.6%
Other values (6) 9
16.1%
Other Punctuation
ValueCountFrequency (%)
, 9
69.2%
& 2
 
15.4%
. 2
 
15.4%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
68.2%
Common 155
 
17.0%
Latin 135
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 61
 
9.8%
담 33
 
5.3%
배 33
 
5.3%
리 31
 
5.0%
코 24
 
3.9%
자 23
 
3.7%
전 22
 
3.5%
아 19
 
3.1%
한 18
 
2.9%
스 18
 
2.9%
Other values (116) 339
54.6%
Latin
ValueCountFrequency (%)
o 9
 
6.7%
e 8
 
5.9%
T 8
 
5.9%
r 8
 
5.9%
n 8
 
5.9%
M 7
 
5.2%
l 6
 
4.4%
a 6
 
4.4%
A 6
 
4.4%
i 5
 
3.7%
Other values (25) 64
47.4%
Common
ValueCountFrequency (%)
) 53
34.2%
( 53
34.2%
33
21.3%
, 9
 
5.8%
- 2
 
1.3%
& 2
 
1.3%
. 2
 
1.3%
9 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
68.2%
ASCII 290
31.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 61
 
9.8%
담 33
 
5.3%
배 33
 
5.3%
리 31
 
5.0%
코 24
 
3.9%
자 23
 
3.7%
전 22
 
3.5%
아 19
 
3.1%
한 18
 
2.9%
스 18
 
2.9%
Other values (116) 339
54.6%
ASCII
ValueCountFrequency (%)
) 53
18.3%
( 53
18.3%
33
 
11.4%
o 9
 
3.1%
, 9
 
3.1%
e 8
 
2.8%
T 8
 
2.8%
r 8
 
2.8%
n 8
 
2.8%
M 7
 
2.4%
Other values (33) 94
32.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
01담배도매업11_43_01_P341000020083410071155000012008-01-07<NA>1영업/정상1정상영업<NA><NA><NA><NA>294-9372<NA>700-423대구광역시 중구 동인동3가 211번지 2호대구광역시 중구 동덕로36길 127 (동인동3가)<NA>우리담배중구대리점2008-01-17 18:03:06I2018-08-31 23:59:59<NA>345450.496411264454.150134위고one, 위고blue, 위고wine, 스윙one, 스윙우리담배판매주식회사
12담배도매업11_43_01_P341000020083410071155000022008-04-03<NA>1영업/정상1정상영업<NA><NA><NA><NA>426-9872<NA>700-443대구광역시 중구 남산동 2409번지 2호 대원빌딩 404호대구광역시 중구 남산로 14, 404호 (남산동,대원빌딩)<NA>전자담배2008-04-03 11:53:32I2018-08-31 23:59:59<NA>342926.626198263106.613104루옌전자담배(주)한국전자담배
23담배도매업11_43_01_P341000020093410071155000032009-10-05<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>700-070대구광역시 중구 덕산동 88번지 메트로센터 W402대구광역시 중구 달구벌대로 지하 2100 (덕산동,메트로센터 W402)<NA>가피2009-10-05 15:10:18I2018-08-31 23:59:59<NA>343820.40768264018.87607901B, Joy501 (전자담배)가비엠
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