Overview

Dataset statistics

Number of variables30
Number of observations84
Missing cells601
Missing cells (%)23.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.3 KiB
Average record size in memory259.6 B

Variable types

Numeric10
Categorical9
Unsupported5
Text6

Dataset

Description6270000_대구광역시_11_43_01_P_담배도매업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085944&dataSetDetailId=DDI_0000085980&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
인허가취소일자 is highly imbalanced (86.1%)Imbalance
데이터갱신구분 is highly imbalanced (72.4%)Imbalance
데이터갱신일자 is highly imbalanced (76.7%)Imbalance
폐업일자 has 34 (40.5%) missing valuesMissing
휴업시작일자 has 84 (100.0%) missing valuesMissing
휴업종료일자 has 84 (100.0%) missing valuesMissing
재개업일자 has 84 (100.0%) missing valuesMissing
소재지전화 has 42 (50.0%) missing valuesMissing
소재지면적 has 84 (100.0%) missing valuesMissing
소재지우편번호 has 13 (15.5%) missing valuesMissing
소재지전체주소 has 9 (10.7%) missing valuesMissing
도로명전체주소 has 22 (26.2%) missing valuesMissing
도로명우편번호 has 55 (65.5%) missing valuesMissing
업태구분명 has 84 (100.0%) missing valuesMissing
좌표정보(X) has 3 (3.6%) missing valuesMissing
좌표정보(Y) has 3 (3.6%) 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 started2024-04-17 17:51:30.277907
Analysis finished2024-04-17 17:51:30.714555
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.5
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:30.768179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.15
Q121.75
median42.5
Q363.25
95-th percentile79.85
Maximum84
Range83
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation24.392622
Coefficient of variation (CV)0.57394404
Kurtosis-1.2
Mean42.5
Median Absolute Deviation (MAD)21
Skewness0
Sum3570
Variance595
MonotonicityStrictly increasing
2024-04-18T02:51:30.868411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
담배도매업
84 

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 84
100.0%

Length

2024-04-18T02:51:30.962453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:31.062813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배도매업 84
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
11_43_01_P
84 

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 84
100.0%

Length

2024-04-18T02:51:31.134441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:31.208238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_43_01_p 84
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440238.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:31.283397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3478500
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22170
Coefficient of variation (CV)0.0064443214
Kurtosis-1.1502694
Mean3440238.1
Median Absolute Deviation (MAD)20000
Skewness0.14595078
Sum2.8898 × 108
Variance4.9150889 × 108
MonotonicityIncreasing
2024-04-18T02:51:31.370567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3440000 17
20.2%
3410000 15
17.9%
3420000 13
15.5%
3450000 10
11.9%
3470000 10
11.9%
3460000 9
10.7%
3430000 5
 
6.0%
3480000 5
 
6.0%
ValueCountFrequency (%)
3410000 15
17.9%
3420000 13
15.5%
3430000 5
 
6.0%
3440000 17
20.2%
3450000 10
11.9%
3460000 9
10.7%
3470000 10
11.9%
3480000 5
 
6.0%
ValueCountFrequency (%)
3480000 5
 
6.0%
3470000 10
11.9%
3460000 9
10.7%
3450000 10
11.9%
3440000 17
20.2%
3430000 5
 
6.0%
3420000 13
15.5%
3410000 15
17.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0103083 × 1018
Minimum1.991347 × 1018
Maximum2.019346 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:31.473161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.002492 × 1018
Q12.0083428 × 1018
median2.0103435 × 1018
Q32.0133445 × 1018
95-th percentile2.0153479 × 1018
Maximum2.019346 × 1018
Range2.7999002 × 1016
Interquartile range (IQR)5.0017534 × 1015

Descriptive statistics

Standard deviation4.5004471 × 1015
Coefficient of variation (CV)0.002238685
Kurtosis3.6573325
Mean2.0103083 × 1018
Median Absolute Deviation (MAD)2.0025023 × 1015
Skewness-0.9734843
Sum2.8452022 × 1018
Variance2.0254024 × 1031
MonotonicityNot monotonic
2024-04-18T02:51:31.587481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341007115500001 1
 
1.2%
2007345009905100001 1
 
1.2%
2012346011715500001 1
 
1.2%
2009346010215500001 1
 
1.2%
2019346014015500001 1
 
1.2%
2008345009915500001 1
 
1.2%
2007345009905100006 1
 
1.2%
2007345009905100005 1
 
1.2%
2007345009905100004 1
 
1.2%
2007345009905100003 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
1991347011715500028 1
1.2%
1997342009005100001 1
1.2%
2000342009005100001 1
1.2%
2002342009005100001 1
1.2%
2002342009005100002 1
1.2%
2003342009005100001 1
1.2%
2005342009015100006 1
1.2%
2006341007115600001 1
1.2%
2007342009015100001 1
1.2%
2007342009015100002 1
1.2%
ValueCountFrequency (%)
2019346014015500001 1
1.2%
2019344012415500002 1
1.2%
2019344012415500001 1
1.2%
2019344011315500001 1
1.2%
2015348032615500001 1
1.2%
2015347011715500002 1
1.2%
2015347011715500001 1
1.2%
2015346014015500001 1
1.2%
2015344010315500004 1
1.2%
2015344010315500003 1
1.2%

인허가일자
Real number (ℝ)

Distinct78
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099006
Minimum19911213
Maximum20191007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:31.695222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19911213
5-th percentile20020809
Q120080108
median20101022
Q320130416
95-th percentile20150517
Maximum20191007
Range279794
Interquartile range (IQR)50308.5

Descriptive statistics

Standard deviation46223.651
Coefficient of variation (CV)0.0022997979
Kurtosis2.9664065
Mean20099006
Median Absolute Deviation (MAD)20915.5
Skewness-0.89505378
Sum1.6883165 × 109
Variance2.1366259 × 109
MonotonicityNot monotonic
2024-04-18T02:51:31.821084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080107 2
 
2.4%
20080108 2
 
2.4%
20060721 2
 
2.4%
20101020 2
 
2.4%
20090925 2
 
2.4%
20150325 2
 
2.4%
20110906 1
 
1.2%
20050105 1
 
1.2%
20060712 1
 
1.2%
20060710 1
 
1.2%
Other values (68) 68
81.0%
ValueCountFrequency (%)
19911213 1
1.2%
19970510 1
1.2%
20000729 1
1.2%
20020803 1
1.2%
20020807 1
1.2%
20020823 1
1.2%
20031110 1
1.2%
20050105 1
1.2%
20050523 1
1.2%
20060710 1
1.2%
ValueCountFrequency (%)
20191007 1
1.2%
20190911 1
1.2%
20190903 1
1.2%
20190709 1
1.2%
20150519 1
1.2%
20150506 1
1.2%
20150415 1
1.2%
20150325 2
2.4%
20150225 1
1.2%
20150223 1
1.2%

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
81 
20140122
 
1
20091005
 
1
20180305
 
1

Length

Max length8
Median length4
Mean length4.1428571
Min length4

Unique

Unique3 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
96.4%
20140122 1
 
1.2%
20091005 1
 
1.2%
20180305 1
 
1.2%

Length

2024-04-18T02:51:31.931936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:32.016722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
96.4%
20140122 1
 
1.2%
20091005 1
 
1.2%
20180305 1
 
1.2%

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
3
50 
1
31 
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 50
59.5%
1 31
36.9%
4 3
 
3.6%

Length

2024-04-18T02:51:32.097188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:32.172446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 50
59.5%
1 31
36.9%
4 3
 
3.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
폐업
50 
영업/정상
31 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.5357143
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 50
59.5%
영업/정상 31
36.9%
취소/말소/만료/정지/중지 3
 
3.6%

Length

2024-04-18T02:51:32.254644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:32.341808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 50
59.5%
영업/정상 31
36.9%
취소/말소/만료/정지/중지 3
 
3.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
3
50 
1
31 
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 50
59.5%
1 31
36.9%
4 3
 
3.6%

Length

2024-04-18T02:51:32.425521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:32.507480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 50
59.5%
1 31
36.9%
4 3
 
3.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
폐업처리
50 
정상영업
31 
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 50
59.5%
정상영업 31
36.9%
직권취소 3
 
3.6%

Length

2024-04-18T02:51:32.585789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:32.662582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 50
59.5%
정상영업 31
36.9%
직권취소 3
 
3.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)92.0%
Missing34
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean20119477
Minimum20050127
Maximum20190215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:32.767703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050127
5-th percentile20051125
Q120093352
median20111113
Q320150442
95-th percentile20180173
Maximum20190215
Range140088
Interquartile range (IQR)57090.5

Descriptive statistics

Standard deviation39455.742
Coefficient of variation (CV)0.0019610719
Kurtosis-0.89486482
Mean20119477
Median Absolute Deviation (MAD)30450.5
Skewness0.095586756
Sum1.0059739 × 109
Variance1.5567556 × 109
MonotonicityNot monotonic
2024-04-18T02:51:32.893203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20180116 3
 
3.6%
20101224 2
 
2.4%
20050127 2
 
2.4%
20121226 1
 
1.2%
20150213 1
 
1.2%
20150203 1
 
1.2%
20070801 1
 
1.2%
20101217 1
 
1.2%
20071112 1
 
1.2%
20080609 1
 
1.2%
Other values (36) 36
42.9%
(Missing) 34
40.5%
ValueCountFrequency (%)
20050127 2
2.4%
20051121 1
1.2%
20051129 1
1.2%
20070801 1
1.2%
20071112 1
1.2%
20080117 1
1.2%
20080404 1
1.2%
20080609 1
1.2%
20080716 1
1.2%
20081205 1
1.2%
ValueCountFrequency (%)
20190215 1
 
1.2%
20180719 1
 
1.2%
20180214 1
 
1.2%
20180122 1
 
1.2%
20180116 3
3.6%
20170120 1
 
1.2%
20161125 1
 
1.2%
20160328 1
 
1.2%
20160226 1
 
1.2%
20151105 1
 
1.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

소재지전화
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing42
Missing (%)50.0%
Memory size804.0 B
2024-04-18T02:51:33.066850image/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%
6092000 1
 
2.3%
053-582-7396~9 1
 
2.3%
294-9372 1
 
2.3%
053-762-9329 1
 
2.3%
471-8987 1
 
2.3%
621-3426 1
 
2.3%
9437883 1
 
2.3%
324-7333 1
 
2.3%
351-7777 1
 
2.3%
Other values (32) 32
74.4%
2024-04-18T02:51:33.341407image/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 

Missing84
Missing (%)100.0%
Memory size888.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)80.3%
Missing13
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean703856.89
Minimum700070
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:33.474686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700070
5-th percentile700185
Q1701030
median703100
Q3705825
95-th percentile711814
Maximum711872
Range11802
Interquartile range (IQR)4795

Descriptive statistics

Standard deviation3111.2383
Coefficient of variation (CV)0.0044202712
Kurtosis0.74370382
Mean703856.89
Median Absolute Deviation (MAD)2657
Skewness0.95646434
Sum49973839
Variance9679803.8
MonotonicityNot monotonic
2024-04-18T02:51:33.582979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700070 3
 
3.6%
706010 3
 
3.6%
702050 3
 
3.6%
701010 2
 
2.4%
704060 2
 
2.4%
706220 2
 
2.4%
705825 2
 
2.4%
705800 2
 
2.4%
705753 2
 
2.4%
700423 2
 
2.4%
Other values (47) 48
57.1%
(Missing) 13
 
15.5%
ValueCountFrequency (%)
700070 3
3.6%
700160 1
 
1.2%
700210 1
 
1.2%
700380 1
 
1.2%
700400 1
 
1.2%
700423 2
2.4%
700430 1
 
1.2%
700443 1
 
1.2%
700805 1
 
1.2%
701010 2
2.4%
ValueCountFrequency (%)
711872 1
 
1.2%
711835 1
 
1.2%
711822 1
 
1.2%
711815 1
 
1.2%
711813 1
 
1.2%
706853 1
 
1.2%
706803 1
 
1.2%
706220 2
2.4%
706070 1
 
1.2%
706010 3
3.6%

소재지전체주소
Text

MISSING 

Distinct71
Distinct (%)94.7%
Missing9
Missing (%)10.7%
Memory size804.0 B
2024-04-18T02:51:33.849368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length23.506667
Min length12

Characters and Unicode

Total characters1763
Distinct characters123
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

Unique69 ?
Unique (%)92.0%

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 75
 
19.2%
남구 17
 
4.4%
동구 12
 
3.1%
중구 12
 
3.1%
수성구 9
 
2.3%
2호 9
 
2.3%
북구 9
 
2.3%
1호 8
 
2.1%
9호 6
 
1.5%
달서구 6
 
1.5%
Other values (172) 227
58.2%
2024-04-18T02:51:34.216930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
18.0%
구 146
 
8.3%
대 90
 
5.1%
동 90
 
5.1%
시 79
 
4.5%
광 75
 
4.3%
역 75
 
4.3%
지 72
 
4.1%
번 69
 
3.9%
호 63
 
3.6%
Other values (113) 686
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
61.0%
Decimal Number 358
 
20.3%
Space Separator 318
 
18.0%
Uppercase Letter 4
 
0.2%
Dash Punctuation 3
 
0.2%
Other Punctuation 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 146
13.6%
대 90
 
8.4%
동 90
 
8.4%
시 79
 
7.3%
광 75
 
7.0%
역 75
 
7.0%
지 72
 
6.7%
번 69
 
6.4%
호 63
 
5.9%
남 20
 
1.9%
Other values (93) 296
27.5%
Decimal Number
ValueCountFrequency (%)
1 59
16.5%
2 58
16.2%
3 37
10.3%
5 35
9.8%
8 34
9.5%
0 34
9.5%
4 32
8.9%
9 24
6.7%
6 23
 
6.4%
7 22
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
C 1
25.0%
W 1
25.0%
E 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1075
61.0%
Common 684
38.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 146
13.6%
대 90
 
8.4%
동 90
 
8.4%
시 79
 
7.3%
광 75
 
7.0%
역 75
 
7.0%
지 72
 
6.7%
번 69
 
6.4%
호 63
 
5.9%
남 20
 
1.9%
Other values (93) 296
27.5%
Common
ValueCountFrequency (%)
318
46.5%
1 59
 
8.6%
2 58
 
8.5%
3 37
 
5.4%
5 35
 
5.1%
8 34
 
5.0%
0 34
 
5.0%
4 32
 
4.7%
9 24
 
3.5%
6 23
 
3.4%
Other values (6) 30
 
4.4%
Latin
ValueCountFrequency (%)
B 1
25.0%
C 1
25.0%
W 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1075
61.0%
ASCII 688
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
46.2%
1 59
 
8.6%
2 58
 
8.4%
3 37
 
5.4%
5 35
 
5.1%
8 34
 
4.9%
0 34
 
4.9%
4 32
 
4.7%
9 24
 
3.5%
6 23
 
3.3%
Other values (10) 34
 
4.9%
Hangul
ValueCountFrequency (%)
구 146
13.6%
대 90
 
8.4%
동 90
 
8.4%
시 79
 
7.3%
광 75
 
7.0%
역 75
 
7.0%
지 72
 
6.7%
번 69
 
6.4%
호 63
 
5.9%
남 20
 
1.9%
Other values (93) 296
27.5%

도로명전체주소
Text

MISSING 

Distinct60
Distinct (%)96.8%
Missing22
Missing (%)26.2%
Memory size804.0 B
2024-04-18T02:51:34.715491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length27.419355
Min length20

Characters and Unicode

Total characters1700
Distinct characters127
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

Unique58 ?
Unique (%)93.5%

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 62
 
18.2%
남구 17
 
5.0%
중구 15
 
4.4%
대명동 11
 
3.2%
달서구 10
 
2.9%
달구벌대로 9
 
2.6%
수성구 9
 
2.6%
1층 5
 
1.5%
달성군 5
 
1.5%
봉덕동 5
 
1.5%
Other values (155) 193
56.6%
2024-04-18T02:51:35.155255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
16.4%
구 131
 
7.7%
대 97
 
5.7%
1 83
 
4.9%
동 70
 
4.1%
시 66
 
3.9%
로 65
 
3.8%
역 63
 
3.7%
광 62
 
3.6%
( 57
 
3.4%
Other values (117) 727
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 986
58.0%
Space Separator 279
 
16.4%
Decimal Number 276
 
16.2%
Open Punctuation 57
 
3.4%
Close Punctuation 57
 
3.4%
Other Punctuation 27
 
1.6%
Dash Punctuation 13
 
0.8%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 131
 
13.3%
대 97
 
9.8%
동 70
 
7.1%
시 66
 
6.7%
로 65
 
6.6%
역 63
 
6.4%
광 62
 
6.3%
달 28
 
2.8%
남 23
 
2.3%
길 22
 
2.2%
Other values (97) 359
36.4%
Decimal Number
ValueCountFrequency (%)
1 83
30.1%
2 43
15.6%
0 28
 
10.1%
3 27
 
9.8%
4 25
 
9.1%
8 18
 
6.5%
6 17
 
6.2%
7 15
 
5.4%
5 14
 
5.1%
9 6
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
E 1
20.0%
F 1
20.0%
C 1
20.0%
W 1
20.0%
Space Separator
ValueCountFrequency (%)
279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 986
58.0%
Common 709
41.7%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 131
 
13.3%
대 97
 
9.8%
동 70
 
7.1%
시 66
 
6.7%
로 65
 
6.6%
역 63
 
6.4%
광 62
 
6.3%
달 28
 
2.8%
남 23
 
2.3%
길 22
 
2.2%
Other values (97) 359
36.4%
Common
ValueCountFrequency (%)
279
39.4%
1 83
 
11.7%
( 57
 
8.0%
) 57
 
8.0%
2 43
 
6.1%
0 28
 
3.9%
3 27
 
3.8%
, 27
 
3.8%
4 25
 
3.5%
8 18
 
2.5%
Other values (5) 65
 
9.2%
Latin
ValueCountFrequency (%)
B 1
20.0%
E 1
20.0%
F 1
20.0%
C 1
20.0%
W 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 986
58.0%
ASCII 714
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
39.1%
1 83
 
11.6%
( 57
 
8.0%
) 57
 
8.0%
2 43
 
6.0%
0 28
 
3.9%
3 27
 
3.8%
, 27
 
3.8%
4 25
 
3.5%
8 18
 
2.5%
Other values (10) 70
 
9.8%
Hangul
ValueCountFrequency (%)
구 131
 
13.3%
대 97
 
9.8%
동 70
 
7.1%
시 66
 
6.7%
로 65
 
6.6%
역 63
 
6.4%
광 62
 
6.3%
달 28
 
2.8%
남 23
 
2.3%
길 22
 
2.2%
Other values (97) 359
36.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)93.1%
Missing55
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean613495.97
Minimum42184
Maximum711830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:35.264440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42184
5-th percentile42440.4
Q1700823
median704911
Q3705825
95-th percentile709830.2
Maximum711830
Range669646
Interquartile range (IQR)5002

Descriptive statistics

Standard deviation232503.81
Coefficient of variation (CV)0.3789818
Kurtosis3.1213279
Mean613495.97
Median Absolute Deviation (MAD)1907
Skewness-2.2156432
Sum17791383
Variance5.405802 × 1010
MonotonicityNot monotonic
2024-04-18T02:51:35.358652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
705753 2
 
2.4%
705800 2
 
2.4%
42184 1
 
1.2%
711815 1
 
1.2%
711830 1
 
1.2%
704923 1
 
1.2%
704905 1
 
1.2%
704817 1
 
1.2%
704814 1
 
1.2%
704911 1
 
1.2%
Other values (17) 17
 
20.2%
(Missing) 55
65.5%
ValueCountFrequency (%)
42184 1
1.2%
42440 1
1.2%
42441 1
1.2%
42489 1
1.2%
700180 1
1.2%
700805 1
1.2%
700822 1
1.2%
700823 1
1.2%
700826 1
1.2%
701170 1
1.2%
ValueCountFrequency (%)
711830 1
1.2%
711815 1
1.2%
706853 1
1.2%
706818 1
1.2%
706803 1
1.2%
706070 1
1.2%
705831 1
1.2%
705825 1
1.2%
705810 1
1.2%
705800 2
2.4%

사업장명
Text

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-04-18T02:51:35.535769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.75
Min length2

Characters and Unicode

Total characters651
Distinct characters148
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

Unique74 ?
Unique (%)88.1%

Sample

1st row우리담배중구대리점
2nd row전자담배
3rd row가피
4th row잔티대구중구점
5th row페로젠 중구점
ValueCountFrequency (%)
한국전자담배 6
 
5.9%
전자담배 5
 
4.9%
스누스코리아 3
 
2.9%
돔돔코리아 2
 
2.0%
듀바코 2
 
2.0%
가피 2
 
2.0%
드림텍 2
 
2.0%
우리담배 2
 
2.0%
에이텍실리고 1
 
1.0%
드림씨가텍 1
 
1.0%
Other values (76) 76
74.5%
2024-04-18T02:51:35.856026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 29
 
4.5%
배 29
 
4.5%
담 29
 
4.5%
구 26
 
4.0%
자 24
 
3.7%
전 24
 
3.7%
대 24
 
3.7%
코 22
 
3.4%
스 21
 
3.2%
19
 
2.9%
Other values (138) 404
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
90.0%
Space Separator 19
 
2.9%
Open Punctuation 14
 
2.2%
Close Punctuation 14
 
2.2%
Uppercase Letter 11
 
1.7%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 29
 
4.9%
배 29
 
4.9%
담 29
 
4.9%
구 26
 
4.4%
자 24
 
4.1%
전 24
 
4.1%
대 24
 
4.1%
코 22
 
3.8%
스 21
 
3.6%
점 19
 
3.2%
Other values (123) 339
57.8%
Uppercase Letter
ValueCountFrequency (%)
K 2
18.2%
M 2
18.2%
T 2
18.2%
C 2
18.2%
J 2
18.2%
S 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
o 1
33.3%
y 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
90.0%
Common 51
 
7.8%
Latin 14
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 29
 
4.9%
배 29
 
4.9%
담 29
 
4.9%
구 26
 
4.4%
자 24
 
4.1%
전 24
 
4.1%
대 24
 
4.1%
코 22
 
3.8%
스 21
 
3.6%
점 19
 
3.2%
Other values (123) 339
57.8%
Latin
ValueCountFrequency (%)
K 2
14.3%
M 2
14.3%
T 2
14.3%
C 2
14.3%
J 2
14.3%
S 1
7.1%
e 1
7.1%
o 1
7.1%
y 1
7.1%
Common
ValueCountFrequency (%)
19
37.3%
( 14
27.5%
) 14
27.5%
& 2
 
3.9%
- 1
 
2.0%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
90.0%
ASCII 65
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 29
 
4.9%
배 29
 
4.9%
담 29
 
4.9%
구 26
 
4.4%
자 24
 
4.1%
전 24
 
4.1%
대 24
 
4.1%
코 22
 
3.8%
스 21
 
3.6%
점 19
 
3.2%
Other values (123) 339
57.8%
ASCII
ValueCountFrequency (%)
19
29.2%
( 14
21.5%
) 14
21.5%
& 2
 
3.1%
K 2
 
3.1%
M 2
 
3.1%
T 2
 
3.1%
C 2
 
3.1%
J 2
 
3.1%
S 1
 
1.5%
Other values (5) 5
 
7.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0128428 × 1013
Minimum2.0070718 × 1013
Maximum2.0200702 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:35.973904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070718 × 1013
5-th percentile2.0070731 × 1013
Q12.0097848 × 1013
median2.0130872 × 1013
Q32.0153452 × 1013
95-th percentile2.019091 × 1013
Maximum2.0200702 × 1013
Range1.2998398 × 1011
Interquartile range (IQR)5.5603802 × 1010

Descriptive statistics

Standard deviation3.9753505 × 1010
Coefficient of variation (CV)0.0019749931
Kurtosis-1.1888709
Mean2.0128428 × 1013
Median Absolute Deviation (MAD)3.0142019 × 1010
Skewness0.13432175
Sum1.6907879 × 1015
Variance1.5803412 × 1021
MonotonicityNot monotonic
2024-04-18T02:51:36.084454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080117180306 1
 
1.2%
20070801145323 1
 
1.2%
20120910164145 1
 
1.2%
20090925091825 1
 
1.2%
20190903164753 1
 
1.2%
20080704093533 1
 
1.2%
20071112155100 1
 
1.2%
20101224133029 1
 
1.2%
20101217151544 1
 
1.2%
20101224131502 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
20070718165752 1
1.2%
20070718173917 1
1.2%
20070718174313 1
1.2%
20070718175111 1
1.2%
20070718175631 1
1.2%
20070801145323 1
1.2%
20070814171708 1
1.2%
20071112155100 1
1.2%
20071207103300 1
1.2%
20080117170835 1
1.2%
ValueCountFrequency (%)
20200702144344 1
1.2%
20200206181245 1
1.2%
20191122154112 1
1.2%
20191007160212 1
1.2%
20190911170703 1
1.2%
20190903164753 1
1.2%
20190709141248 1
1.2%
20190215114116 1
1.2%
20180719135209 1
1.2%
20180305161524 1
1.2%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
I
80 
U
 
4

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 80
95.2%
U 4
 
4.8%

Length

2024-04-18T02:51:36.181036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:36.253971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 80
95.2%
u 4
 
4.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size804.0 B
2018-08-31 23:59:59.0
76 
2020-02-08 02:40:00.0
 
1
2019-10-09 00:22:46.0
 
1
2019-07-11 02:21:33.0
 
1
2019-09-13 02:22:26.0
 
1
Other values (4)
 
4

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)9.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 76
90.5%
2020-02-08 02:40:00.0 1
 
1.2%
2019-10-09 00:22:46.0 1
 
1.2%
2019-07-11 02:21:33.0 1
 
1.2%
2019-09-13 02:22:26.0 1
 
1.2%
2020-07-04 02:40:00.0 1
 
1.2%
2019-09-05 02:22:19.0 1
 
1.2%
2019-11-24 02:40:00.0 1
 
1.2%
2019-02-17 02:40:00.0 1
 
1.2%

Length

2024-04-18T02:51:36.326827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:51:36.431160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 76
45.2%
23:59:59.0 76
45.2%
02:40:00.0 4
 
2.4%
2020-02-08 1
 
0.6%
2019-10-09 1
 
0.6%
00:22:46.0 1
 
0.6%
2019-07-11 1
 
0.6%
02:21:33.0 1
 
0.6%
2019-09-13 1
 
0.6%
02:22:26.0 1
 
0.6%
Other values (5) 5
 
3.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)92.6%
Missing3
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean343347.21
Minimum330488.93
Maximum355055.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:36.560447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330488.93
5-th percentile336215.35
Q1341560.57
median343459.42
Q3345478.82
95-th percentile348002.74
Maximum355055.37
Range24566.443
Interquartile range (IQR)3918.2483

Descriptive statistics

Standard deviation4294.1826
Coefficient of variation (CV)0.012506822
Kurtosis1.7129334
Mean343347.21
Median Absolute Deviation (MAD)2019.3994
Skewness-0.25845636
Sum27811124
Variance18440004
MonotonicityNot monotonic
2024-04-18T02:51:36.668729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343820.40768 3
 
3.6%
343646.824023 2
 
2.4%
347950.194975 2
 
2.4%
342423.108913 2
 
2.4%
343172.723078 2
 
2.4%
339629.963682 1
 
1.2%
343426.503752 1
 
1.2%
339669.856552 1
 
1.2%
339988.637107 1
 
1.2%
348002.735402 1
 
1.2%
Other values (65) 65
77.4%
(Missing) 3
 
3.6%
ValueCountFrequency (%)
330488.931731 1
1.2%
332043.385293 1
1.2%
332494.959959 1
1.2%
335242.047737 1
1.2%
336215.346499 1
1.2%
336327.785114 1
1.2%
336985.688336 1
1.2%
338339.664509 1
1.2%
338431.138481 1
1.2%
338629.628388 1
1.2%
ValueCountFrequency (%)
355055.374436 1
1.2%
353414.507288 1
1.2%
353224.135223 1
1.2%
352933.156935 1
1.2%
348002.735402 1
1.2%
347950.194975 2
2.4%
347905.252913 1
1.2%
347573.795842 1
1.2%
347512.777224 1
1.2%
347182.029741 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)92.6%
Missing3
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean263565.16
Minimum245060.28
Maximum271717.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-04-18T02:51:36.770212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245060.28
5-th percentile258307.85
Q1261736.72
median263522.18
Q3265299.88
95-th percentile269901.79
Maximum271717.98
Range26657.697
Interquartile range (IQR)3563.1574

Descriptive statistics

Standard deviation3662.374
Coefficient of variation (CV)0.013895516
Kurtosis7.4268949
Mean263565.16
Median Absolute Deviation (MAD)1785.464
Skewness-1.3053907
Sum21348778
Variance13412983
MonotonicityNot monotonic
2024-04-18T02:51:36.872351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.87607 3
 
3.6%
262777.685388 2
 
2.4%
265687.62574 2
 
2.4%
261072.935399 2
 
2.4%
267867.207323 2
 
2.4%
269834.78275 1
 
1.2%
268028.453148 1
 
1.2%
271202.622289 1
 
1.2%
270561.614812 1
 
1.2%
263782.284554 1
 
1.2%
Other values (65) 65
77.4%
(Missing) 3
 
3.6%
ValueCountFrequency (%)
245060.280401 1
1.2%
256802.503818 1
1.2%
257414.602304 1
1.2%
257984.331602 1
1.2%
258307.853882 1
1.2%
258482.615149 1
1.2%
259971.473772 1
1.2%
260408.077426 1
1.2%
260505.234214 1
1.2%
260668.288963 1
1.2%
ValueCountFrequency (%)
271717.976928 1
1.2%
271202.622289 1
1.2%
270561.614812 1
1.2%
270018.826175 1
1.2%
269901.794964 1
1.2%
269834.78275 1
1.2%
268028.453148 1
1.2%
267867.207323 2
2.4%
266966.146721 1
1.2%
266674.880337 1
1.2%

취급제품명
Text

Distinct52
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-04-18T02:51:37.047063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length36
Mean length10.297619
Min length2

Characters and Unicode

Total characters865
Distinct characters147
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

Unique46 ?
Unique (%)54.8%

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 36
23.1%
액상 7
 
4.5%
스윙 6
 
3.8%
위고 6
 
3.8%
및 3
 
1.9%
담배 3
 
1.9%
등 3
 
1.9%
담배대용품 3
 
1.9%
무연담배 3
 
1.9%
스윙one 3
 
1.9%
Other values (67) 83
53.2%
2024-04-18T02:51:37.341413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
8.3%
, 62
 
7.2%
배 61
 
7.1%
담 60
 
6.9%
전 48
 
5.5%
자 48
 
5.5%
고 21
 
2.4%
위 21
 
2.4%
스 18
 
2.1%
( 16
 
1.8%
Other values (137) 438
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
63.8%
Lowercase Letter 89
 
10.3%
Space Separator 72
 
8.3%
Other Punctuation 65
 
7.5%
Decimal Number 32
 
3.7%
Uppercase Letter 23
 
2.7%
Open Punctuation 16
 
1.8%
Close Punctuation 16
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
배 61
 
11.1%
담 60
 
10.9%
전 48
 
8.7%
자 48
 
8.7%
고 21
 
3.8%
위 21
 
3.8%
스 18
 
3.3%
트 13
 
2.4%
윙 12
 
2.2%
드 11
 
2.0%
Other values (94) 239
43.3%
Lowercase Letter
ValueCountFrequency (%)
e 15
16.9%
n 14
15.7%
i 8
9.0%
g 7
7.9%
o 7
7.9%
k 6
 
6.7%
l 6
 
6.7%
a 5
 
5.6%
s 4
 
4.5%
u 3
 
3.4%
Other values (8) 14
15.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
21.7%
O 3
13.0%
B 3
13.0%
J 3
13.0%
P 2
 
8.7%
D 2
 
8.7%
Y 1
 
4.3%
E 1
 
4.3%
S 1
 
4.3%
H 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 14
43.8%
1 6
18.8%
2 3
 
9.4%
9 3
 
9.4%
5 3
 
9.4%
3 1
 
3.1%
4 1
 
3.1%
8 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 62
95.4%
" 2
 
3.1%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
63.8%
Common 201
 
23.2%
Latin 112
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
배 61
 
11.1%
담 60
 
10.9%
전 48
 
8.7%
자 48
 
8.7%
고 21
 
3.8%
위 21
 
3.8%
스 18
 
3.3%
트 13
 
2.4%
윙 12
 
2.2%
드 11
 
2.0%
Other values (94) 239
43.3%
Latin
ValueCountFrequency (%)
e 15
13.4%
n 14
 
12.5%
i 8
 
7.1%
g 7
 
6.2%
o 7
 
6.2%
k 6
 
5.4%
l 6
 
5.4%
a 5
 
4.5%
M 5
 
4.5%
s 4
 
3.6%
Other values (19) 35
31.2%
Common
ValueCountFrequency (%)
72
35.8%
, 62
30.8%
( 16
 
8.0%
) 16
 
8.0%
0 14
 
7.0%
1 6
 
3.0%
2 3
 
1.5%
9 3
 
1.5%
5 3
 
1.5%
" 2
 
1.0%
Other values (4) 4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
63.8%
ASCII 313
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
23.0%
, 62
19.8%
( 16
 
5.1%
) 16
 
5.1%
e 15
 
4.8%
0 14
 
4.5%
n 14
 
4.5%
i 8
 
2.6%
g 7
 
2.2%
o 7
 
2.2%
Other values (33) 82
26.2%
Hangul
ValueCountFrequency (%)
배 61
 
11.1%
담 60
 
10.9%
전 48
 
8.7%
자 48
 
8.7%
고 21
 
3.8%
위 21
 
3.8%
스 18
 
3.3%
트 13
 
2.4%
윙 12
 
2.2%
드 11
 
2.0%
Other values (94) 239
43.3%

담배공급업체명
Text

Distinct60
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-04-18T02:51:37.547271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length27
Mean length10.297619
Min length2

Characters and Unicode

Total characters865
Distinct characters164
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

Unique51 ?
Unique (%)60.7%

Sample

1st row우리담배판매주식회사
2nd row(주)한국전자담배
3rd row가비엠
4th row(주)잔티코리아
5th row(주)페로젠
ValueCountFrequency (%)
주)한국전자담배 13
 
11.2%
우리담배판매주식회사 5
 
4.3%
주)스누스코리아 5
 
4.3%
주)영남토바코컴퍼니 4
 
3.4%
주식회사 4
 
3.4%
주)빅토리베이프코리아 3
 
2.6%
외 2
 
1.7%
2
 
1.7%
영남총판 2
 
1.7%
전자담배 2
 
1.7%
Other values (70) 74
63.8%
2024-04-18T02:51:37.883651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 59
 
6.8%
( 50
 
5.8%
) 50
 
5.8%
담 32
 
3.7%
배 32
 
3.7%
32
 
3.7%
리 30
 
3.5%
코 24
 
2.8%
자 23
 
2.7%
전 22
 
2.5%
Other values (154) 511
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
69.0%
Lowercase Letter 72
 
8.3%
Open Punctuation 50
 
5.8%
Close Punctuation 50
 
5.8%
Uppercase Letter 48
 
5.5%
Space Separator 32
 
3.7%
Other Punctuation 13
 
1.5%
Dash Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 59
 
9.9%
담 32
 
5.4%
배 32
 
5.4%
리 30
 
5.0%
코 24
 
4.0%
자 23
 
3.9%
전 22
 
3.7%
아 19
 
3.2%
한 18
 
3.0%
국 17
 
2.8%
Other values (112) 321
53.8%
Lowercase Letter
ValueCountFrequency (%)
o 9
12.5%
r 8
11.1%
e 8
11.1%
n 7
9.7%
l 6
8.3%
a 5
 
6.9%
c 4
 
5.6%
i 4
 
5.6%
t 4
 
5.6%
d 3
 
4.2%
Other values (9) 14
19.4%
Uppercase Letter
ValueCountFrequency (%)
T 7
14.6%
M 6
12.5%
C 5
10.4%
A 5
10.4%
R 4
8.3%
I 3
6.2%
O 3
6.2%
N 3
6.2%
L 3
6.2%
S 2
 
4.2%
Other values (5) 7
14.6%
Other Punctuation
ValueCountFrequency (%)
, 9
69.2%
. 2
 
15.4%
& 2
 
15.4%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 597
69.0%
Common 148
 
17.1%
Latin 120
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 59
 
9.9%
담 32
 
5.4%
배 32
 
5.4%
리 30
 
5.0%
코 24
 
4.0%
자 23
 
3.9%
전 22
 
3.7%
아 19
 
3.2%
한 18
 
3.0%
국 17
 
2.8%
Other values (112) 321
53.8%
Latin
ValueCountFrequency (%)
o 9
 
7.5%
r 8
 
6.7%
e 8
 
6.7%
n 7
 
5.8%
T 7
 
5.8%
l 6
 
5.0%
M 6
 
5.0%
a 5
 
4.2%
C 5
 
4.2%
A 5
 
4.2%
Other values (24) 54
45.0%
Common
ValueCountFrequency (%)
( 50
33.8%
) 50
33.8%
32
21.6%
, 9
 
6.1%
. 2
 
1.4%
& 2
 
1.4%
- 2
 
1.4%
9 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
69.0%
ASCII 268
31.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 59
 
9.9%
담 32
 
5.4%
배 32
 
5.4%
리 30
 
5.0%
코 24
 
4.0%
자 23
 
3.9%
전 22
 
3.7%
아 19
 
3.2%
한 18
 
3.0%
국 17
 
2.8%
Other values (112) 321
53.8%
ASCII
ValueCountFrequency (%)
( 50
18.7%
) 50
18.7%
32
 
11.9%
o 9
 
3.4%
, 9
 
3.4%
r 8
 
3.0%
e 8
 
3.0%
n 7
 
2.6%
T 7
 
2.6%
l 6
 
2.2%
Other values (32) 82
30.6%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
01담배도매업11_43_01_P3410000200834100711550000120080107<NA>1영업/정상1정상영업<NA><NA><NA><NA>294-9372<NA>700423대구광역시 중구 동인동3가 211번지 2호대구광역시 중구 동덕로36길 127 (동인동3가)<NA>우리담배중구대리점20080117180306I2018-08-31 23:59:59.0<NA>345450.496411264454.150134위고one, 위고blue, 위고wine, 스윙one, 스윙우리담배판매주식회사
12담배도매업11_43_01_P3410000200834100711550000220080403<NA>1영업/정상1정상영업<NA><NA><NA><NA>426-9872<NA>700443대구광역시 중구 남산동 2409번지 2호 대원빌딩 404호대구광역시 중구 남산로 14, 404호 (남산동,대원빌딩)<NA>전자담배20080403115332I2018-08-31 23:59:59.0<NA>342926.626198263106.613104루옌전자담배(주)한국전자담배
23담배도매업11_43_01_P3410000200934100711550000320091005<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>700070대구광역시 중구 덕산동 88번지 메트로센터 W402대구광역시 중구 달구벌대로 지하 2100 (덕산동,메트로센터 W402)<NA>가피20091005151018I2018-08-31 23:59:59.0<NA>343820.40768264018.87607901B, Joy501 (전자담배)가비엠
34담배도매업11_43_01_P3410000201034100711550000120100121<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-421-3721<NA>700070대구광역시 중구 덕산동 88번지 메트로센터 E418호대구광역시 중구 달구벌대로 지하 2100 (덕산동,메트로센터 E418호)<NA>잔티대구중구점20100122131509I2018-08-31 23:59:59.0<NA>343820.40768264018.87607전자담배 잔티(Janty)기기, 카트리지, 액상(주)잔티코리아
45담배도매업11_43_01_P3410000201134100711550000120110624<NA>1영업/정상1정상영업<NA><NA><NA><NA>053- 252-2122<NA>700400대구광역시 중구 봉산동 153번지 1호대구광역시 중구 달구벌대로 2135 (봉산동)700822페로젠 중구점20111030140706I2018-08-31 23:59:59.0<NA>344187.921989263949.092336전자담배 제루트(주)페로젠
56담배도매업11_43_01_P3410000201334100711550000120130304<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 달구벌대로 2160 (봉산동, 메트로지하상가F116)700823스누스코리아20130304103259I2018-08-31 23:59:59.0<NA>344392.287402263823.292536무연담배(주)스누스코리아
67담배도매업11_43_01_P3410000201534101051550000120150415<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 명덕로 171 (남산동, 1층서편)700826이조이(e-Joy)전자담배20150415200537I2018-08-31 23:59:59.0<NA>343459.422336263050.657654전자담배(주) 한국전자담배 영남총판
78담배도매업11_43_01_P3410000200934100711550000120090423<NA>3폐업3폐업처리20110315<NA><NA><NA><NA><NA>700160대구광역시 중구 문화동 9번지 3호대구광역시 중구 국채보상로123길 18-1 (문화동)<NA>필유통20200206181245U2020-02-08 02:40:00.0<NA>344213.068371264658.693145Peel, Dj Mix(주)디케이엔티
89담배도매업11_43_01_P3410000200934100711550000220090925<NA>3폐업3폐업처리20110708<NA><NA><NA>753-5319<NA>700423대구광역시 중구 동인동3가 212번지 11호 3층대구광역시 중구 동덕로36길 133 (동인동3가,3층)<NA>우리담배대구대리점20110708200654I2018-08-31 23:59:59.0<NA>345478.821767264455.111795위고one, 위고blue, 위고wine, 스윙one, 스윙, 그랜드2000, 그랜드우리담배판매주식회사
910담배도매업11_43_01_P3410000201034100711550000220101015<NA>3폐업3폐업처리20111109<NA><NA><NA>053-356-6695<NA>700430대구광역시 중구 대봉동 186번지 1호대구광역시 중구 동덕로 6 (대봉동)<NA>한국전자담배 중구총판20111109140954I2018-08-31 23:59:59.0<NA>344831.97444262899.677082류엔 전자담배류(주)한국전자담배
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
7475담배도매업11_43_01_P3470000199134701171550002819911213<NA>3폐업3폐업처리20080716<NA><NA><NA>053-654-8519<NA>704340대구광역시 달서구 송현동 2011번지 5호대구광역시 달서구 중흥로11길 12 (송현동)<NA>신일유통20080716155518I2018-08-31 23:59:59.0<NA>340756.337847259971.473772골프, 뉴한 외(주)동성시티 외
7576담배도매업11_43_01_P3470000201334701171550000320130716<NA>3폐업3폐업처리20180214<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 달구벌대로 1530-0, 301동 314호 (감삼동, 삼정브리티시용산상가)704905스누스코리아 달서점20180305161524I2018-08-31 23:59:59.0<NA>338629.628388262421.074477스누스(무연담배)(주)스누스코리아
7677담배도매업11_43_01_P3470000201534701171550000120150116<NA>3폐업3폐업처리20180116<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 달구벌대로301길 14 (용산동)704923한국전자담배 영남총판20180116172350I2018-08-31 23:59:59.0<NA>338339.664509262236.642857전자담배(주)한국전자담배
7778담배도매업11_43_01_P3470000200834701171550000120080108<NA>3폐업3폐업처리20100330<NA><NA><NA>655-8287<NA>704060대구광역시 달서구 두류동 779번지 28호대구광역시 달서구 성당로 225 (두류동)<NA>우리담배 남구대리점20100330102104I2018-08-31 23:59:59.0<NA>342063.176124262526.480507위고,스윙 외우리담배판매주식회사
7879담배도매업11_43_01_P3470000201134701171550000120110906201803054취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>053-633-3330<NA>704310대구광역시 달서구 대곡동 2번지 9호대구광역시 달서구 비슬로 2682 (대곡동)<NA>남문주유소20180305161436I2018-08-31 23:59:59.0<NA>336327.785114257414.602304전자담배기기 및 액상라손전자담배
7980담배도매업11_43_01_P3480000200834802891550000220080130<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>711835대구광역시 달성군 화원읍 본리리 93번지 1호대구광역시 달성군 화원읍 명천로17길 11711830우리20111030142706I2018-08-31 23:59:59.0<NA>336215.346499256802.503818위고 원, 위고블루, 위고 와인, 스윙우리담배판매 주식회사
8081담배도매업11_43_01_P3480000200834802891550000320080730<NA>1영업/정상1정상영업<NA><NA><NA><NA>053-582-7396~9<NA>711822대구광역시 달성군 하빈면 대평리 340번지대구광역시 달성군 하빈면 하빈로171길 28-23<NA>롯데로지스틱스(주)대구센터20080730142954I2018-08-31 23:59:59.0<NA>332043.385293271717.976928마일드세븐,셀렘JT인터네셔널 코리아(주)
8182담배도매업11_43_01_P3480000201534803261550000120150519<NA>1영업/정상1정상영업<NA><NA><NA><NA>0707434145<NA>711815대구광역시 달성군 다사읍 죽곡리 856번지 3호대구광역시 달성군 다사읍 대실역남로4길 4-9711815타코코리아20150519142301I2018-08-31 23:59:59.0<NA>332494.959959262056.457385일회용 전자담배타코
8283담배도매업11_43_01_P3480000200834802891550000120080108<NA>3폐업3폐업처리20090702<NA><NA><NA>053-593-5847<NA>711813대구광역시 달성군 다사읍 서재리 37번지 9호대구광역시 달성군 다사읍 서재로34길 11<NA>(주)코바스20090702144251I2018-08-31 23:59:59.0<NA>335242.047737265299.876551위고 원, 위고 블루, 위고 와인, 스윙우리담배판매 주식회사
8384담배도매업11_43_01_P3480000201134802951550000120110112<NA>3폐업3폐업처리20190215<NA><NA><NA><NA><NA>711872대구광역시 달성군 현풍읍 부리 478번지 1호대구광역시 달성군 현풍읍 현풍중앙로 87-1<NA>한국전자담배현풍대리점20190215114116U2019-02-17 02:40:00.0<NA>330488.931731245060.280401전자담배한국전자담배남구지점