Overview

Dataset statistics

Number of variables27
Number of observations24
Missing cells192
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory235.5 B

Variable types

Categorical6
Numeric5
DateTime3
Unsupported6
Text7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),취급제품명,담배공급업체명
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-19880/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 10 (41.7%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 7 (29.2%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 10 (41.7%) missing valuesMissing
지번주소 has 4 (16.7%) missing valuesMissing
도로명주소 has 3 (12.5%) missing valuesMissing
도로명우편번호 has 10 (41.7%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
취급제품명 has 2 (8.3%) missing valuesMissing
담배공급업체명 has 2 (8.3%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
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 started2024-05-18 02:56:53.650193
Analysis finished2024-05-18 02:56:54.592086
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3030000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 24
100.0%

Length

2024-05-18T11:56:54.970325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:56:55.502344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 24
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9377791 × 1018
Minimum2.007303 × 1017
Maximum2.018303 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-18T11:56:55.908313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007303 × 1017
5-th percentile2.006453 × 1018
Q12.011053 × 1018
median2.014803 × 1018
Q32.015303 × 1018
95-th percentile2.016303 × 1018
Maximum2.018303 × 1018
Range1.8175727 × 1018
Interquartile range (IQR)4.25 × 1015

Descriptive statistics

Standard deviation3.7000513 × 1017
Coefficient of variation (CV)0.19094288
Kurtosis23.995496
Mean1.9377791 × 1018
Median Absolute Deviation (MAD)1.5 × 1015
Skewness-4.8983183
Sum-8.8335327 × 1018
Variance1.369038 × 1035
MonotonicityNot monotonic
2024-05-18T11:56:56.441728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2006303010315500001 1
 
4.2%
2015303010315500002 1
 
4.2%
2018303010315500001 1
 
4.2%
2016303010315500003 1
 
4.2%
2016303010315500002 1
 
4.2%
2016303010315500001 1
 
4.2%
2015303010315511114 1
 
4.2%
2015303010315511113 1
 
4.2%
2015303010315511112 1
 
4.2%
2015303010315511111 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
200730301031250002 1
4.2%
2006303010315500001 1
4.2%
2007303010312500001 1
4.2%
2007303010315500001 1
4.2%
2007303010315500002 1
4.2%
2010303010315500001 1
4.2%
2011303010315500001 1
4.2%
2011303010315500002 1
4.2%
2013303010315500001 1
4.2%
2013303010315500002 1
4.2%
ValueCountFrequency (%)
2018303010315500001 1
4.2%
2016303010315500003 1
4.2%
2016303010315500002 1
4.2%
2016303010315500001 1
4.2%
2015303010315511114 1
4.2%
2015303010315511113 1
4.2%
2015303010315511112 1
4.2%
2015303010315511111 1
4.2%
2015303010315510001 1
4.2%
2015303010315510000 1
4.2%

인허가일자
Date

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2003-01-23 00:00:00
Maximum2018-12-13 00:00:00
2024-05-18T11:56:57.176963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:56:57.865098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
14 
1
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
58.3%
1 10
41.7%

Length

2024-05-18T11:56:58.514479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:56:58.860687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
58.3%
1 10
41.7%

영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
14 
영업/정상
10 

Length

Max length5
Median length2
Mean length3.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
58.3%
영업/정상 10
41.7%

Length

2024-05-18T11:56:59.208904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:56:59.592711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
58.3%
영업/정상 10
41.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
14 
1
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
58.3%
1 10
41.7%

Length

2024-05-18T11:56:59.951320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:57:00.242399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
58.3%
1 10
41.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업처리
14 
정상영업
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 14
58.3%
정상영업 10
41.7%

Length

2024-05-18T11:57:00.592313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:57:00.940593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 14
58.3%
정상영업 10
41.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)64.3%
Missing10
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean20105526
Minimum20040209
Maximum20200928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-18T11:57:01.272496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040209
5-th percentile20053351
Q120090723
median20090723
Q320127799
95-th percentile20174525
Maximum20200928
Range160719
Interquartile range (IQR)37076.25

Descriptive statistics

Standard deviation40582.603
Coefficient of variation (CV)0.0020184801
Kurtosis1.3630014
Mean20105526
Median Absolute Deviation (MAD)15055.5
Skewness0.90394442
Sum2.8147736 × 108
Variance1.6469476 × 109
MonotonicityNot monotonic
2024-05-18T11:57:01.692643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20090723 6
25.0%
20090102 1
 
4.2%
20040209 1
 
4.2%
20060428 1
 
4.2%
20130328 1
 
4.2%
20120213 1
 
4.2%
20130507 1
 
4.2%
20160308 1
 
4.2%
20200928 1
 
4.2%
(Missing) 10
41.7%
ValueCountFrequency (%)
20040209 1
 
4.2%
20060428 1
 
4.2%
20090102 1
 
4.2%
20090723 6
25.0%
20120213 1
 
4.2%
20130328 1
 
4.2%
20130507 1
 
4.2%
20160308 1
 
4.2%
20200928 1
 
4.2%
ValueCountFrequency (%)
20200928 1
 
4.2%
20160308 1
 
4.2%
20130507 1
 
4.2%
20130328 1
 
4.2%
20120213 1
 
4.2%
20090723 6
25.0%
20090102 1
 
4.2%
20060428 1
 
4.2%
20040209 1
 
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct10
Distinct (%)58.8%
Missing7
Missing (%)29.2%
Memory size324.0 B
2024-05-18T11:57:02.216125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.7058824
Min length8

Characters and Unicode

Total characters165
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

Unique8 ?
Unique (%)47.1%

Sample

1st row2291-7622
2nd row3395-5550
3rd row2282-6414
4th row466-8222
5th row468-4582
ValueCountFrequency (%)
3395-5550 7
41.2%
02-546-0879 2
 
11.8%
2291-7622 1
 
5.9%
2282-6414 1
 
5.9%
466-8222 1
 
5.9%
468-4582 1
 
5.9%
02-590-8000 1
 
5.9%
02-6916-1626 1
 
5.9%
02-380-5983 1
 
5.9%
02-2284-0280 1
 
5.9%
2024-05-18T11:57:03.068338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 33
20.0%
- 23
13.9%
0 22
13.3%
2 21
12.7%
3 16
9.7%
9 13
 
7.9%
6 11
 
6.7%
8 11
 
6.7%
4 8
 
4.8%
1 4
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 142
86.1%
Dash Punctuation 23
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 33
23.2%
0 22
15.5%
2 21
14.8%
3 16
11.3%
9 13
 
9.2%
6 11
 
7.7%
8 11
 
7.7%
4 8
 
5.6%
1 4
 
2.8%
7 3
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 33
20.0%
- 23
13.9%
0 22
13.3%
2 21
12.7%
3 16
9.7%
9 13
 
7.9%
6 11
 
6.7%
8 11
 
6.7%
4 8
 
4.8%
1 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 33
20.0%
- 23
13.9%
0 22
13.3%
2 21
12.7%
3 16
9.7%
9 13
 
7.9%
6 11
 
6.7%
8 11
 
6.7%
4 8
 
4.8%
1 4
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing10
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean133560
Minimum133050
Maximum133867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-18T11:57:03.441297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133050
5-th percentile133050
Q1133132.5
median133800
Q3133832.75
95-th percentile133866.35
Maximum133867
Range817
Interquartile range (IQR)700.25

Descriptive statistics

Standard deviation368.35727
Coefficient of variation (CV)0.0027579909
Kurtosis-1.7606832
Mean133560
Median Absolute Deviation (MAD)66.5
Skewness-0.65770916
Sum1869840
Variance135687.08
MonotonicityNot monotonic
2024-05-18T11:57:03.828140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
133050 3
 
12.5%
133170 1
 
4.2%
133778 1
 
4.2%
133714 1
 
4.2%
133120 1
 
4.2%
133857 1
 
4.2%
133822 1
 
4.2%
133831 1
 
4.2%
133866 1
 
4.2%
133832 1
 
4.2%
Other values (2) 2
 
8.3%
(Missing) 10
41.7%
ValueCountFrequency (%)
133050 3
12.5%
133120 1
 
4.2%
133170 1
 
4.2%
133714 1
 
4.2%
133778 1
 
4.2%
133822 1
 
4.2%
133831 1
 
4.2%
133832 1
 
4.2%
133833 1
 
4.2%
133857 1
 
4.2%
ValueCountFrequency (%)
133867 1
4.2%
133866 1
4.2%
133857 1
4.2%
133833 1
4.2%
133832 1
4.2%
133831 1
4.2%
133822 1
4.2%
133778 1
4.2%
133714 1
4.2%
133170 1
4.2%

지번주소
Text

MISSING 

Distinct15
Distinct (%)75.0%
Missing4
Missing (%)16.7%
Memory size324.0 B
2024-05-18T11:57:04.471449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length27.05
Min length20

Characters and Unicode

Total characters541
Distinct characters73
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)65.0%

Sample

1st row서울특별시 성동구 용답동 228번지 1호 미라보오피스텔 704호
2nd row서울특별시 성동구 금호동1가 663번지 벽산아파트 105동 701호
3rd row서울특별시 성동구 마장동 533번지 14호
4th row서울특별시 성동구 도선동 14번지 신한넥스텔 416
5th row서울특별시 성동구 성수동2가 281번지 8호 304호
ValueCountFrequency (%)
서울특별시 20
19.0%
성동구 20
19.0%
마장동 7
 
6.7%
533-14 4
 
3.8%
533번지 3
 
2.9%
14호 3
 
2.9%
성수동2가 3
 
2.9%
성수2가3동 2
 
1.9%
281번지 2
 
1.9%
14번지 2
 
1.9%
Other values (39) 39
37.1%
2024-05-18T11:57:05.706030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
15.7%
동 43
 
7.9%
성 28
 
5.2%
1 25
 
4.6%
3 24
 
4.4%
서 20
 
3.7%
특 20
 
3.7%
별 20
 
3.7%
시 20
 
3.7%
구 20
 
3.7%
Other values (63) 236
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
58.0%
Decimal Number 123
 
22.7%
Space Separator 85
 
15.7%
Uppercase Letter 9
 
1.7%
Dash Punctuation 8
 
1.5%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
13.7%
성 28
 
8.9%
서 20
 
6.4%
특 20
 
6.4%
별 20
 
6.4%
시 20
 
6.4%
구 20
 
6.4%
울 20
 
6.4%
호 18
 
5.7%
번 14
 
4.5%
Other values (42) 91
29.0%
Decimal Number
ValueCountFrequency (%)
1 25
20.3%
3 24
19.5%
2 19
15.4%
4 13
10.6%
5 12
9.8%
6 8
 
6.5%
9 6
 
4.9%
8 6
 
4.9%
7 5
 
4.1%
0 5
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
B 1
11.1%
H 1
11.1%
R 1
11.1%
O 1
11.1%
F 1
11.1%
Y 1
11.1%
U 1
11.1%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
58.0%
Common 218
40.3%
Latin 9
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
13.7%
성 28
 
8.9%
서 20
 
6.4%
특 20
 
6.4%
별 20
 
6.4%
시 20
 
6.4%
구 20
 
6.4%
울 20
 
6.4%
호 18
 
5.7%
번 14
 
4.5%
Other values (42) 91
29.0%
Common
ValueCountFrequency (%)
85
39.0%
1 25
 
11.5%
3 24
 
11.0%
2 19
 
8.7%
4 13
 
6.0%
5 12
 
5.5%
- 8
 
3.7%
6 8
 
3.7%
9 6
 
2.8%
8 6
 
2.8%
Other values (3) 12
 
5.5%
Latin
ValueCountFrequency (%)
C 2
22.2%
B 1
11.1%
H 1
11.1%
R 1
11.1%
O 1
11.1%
F 1
11.1%
Y 1
11.1%
U 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
58.0%
ASCII 227
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
37.4%
1 25
 
11.0%
3 24
 
10.6%
2 19
 
8.4%
4 13
 
5.7%
5 12
 
5.3%
- 8
 
3.5%
6 8
 
3.5%
9 6
 
2.6%
8 6
 
2.6%
Other values (11) 21
 
9.3%
Hangul
ValueCountFrequency (%)
동 43
13.7%
성 28
 
8.9%
서 20
 
6.4%
특 20
 
6.4%
별 20
 
6.4%
시 20
 
6.4%
구 20
 
6.4%
울 20
 
6.4%
호 18
 
5.7%
번 14
 
4.5%
Other values (42) 91
29.0%

도로명주소
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing3
Missing (%)12.5%
Memory size324.0 B
2024-05-18T11:57:06.367165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length42
Mean length35
Min length25

Characters and Unicode

Total characters735
Distinct characters97
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

Unique17 ?
Unique (%)81.0%

Sample

1st row서울특별시 성동구 천호대로 366 (용답동,미라보오피스텔 704호)
2nd row서울특별시 성동구 난계로 20, 105동 701호 (금호동1가,벽산아파트)
3rd row서울특별시 성동구 고산자로 269 (도선동,신한넥스텔 416)
4th row서울특별시 성동구 광나루로 320-2 (성수동2가,304호)
5th row서울특별시 성동구 왕십리로 353 (하왕십리동)
ValueCountFrequency (%)
서울특별시 21
 
16.3%
성동구 21
 
16.3%
성수동2가 7
 
5.4%
마장로25길 4
 
3.1%
마장동 4
 
3.1%
14 4
 
3.1%
성수일로 3
 
2.3%
광나루로 3
 
2.3%
56 3
 
2.3%
1층 2
 
1.6%
Other values (53) 57
44.2%
2024-05-18T11:57:07.828341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
14.7%
동 49
 
6.7%
성 35
 
4.8%
, 27
 
3.7%
1 26
 
3.5%
2 25
 
3.4%
0 23
 
3.1%
서 21
 
2.9%
울 21
 
2.9%
( 21
 
2.9%
Other values (87) 379
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
54.7%
Decimal Number 143
 
19.5%
Space Separator 108
 
14.7%
Other Punctuation 27
 
3.7%
Open Punctuation 21
 
2.9%
Close Punctuation 21
 
2.9%
Uppercase Letter 10
 
1.4%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
12.2%
성 35
 
8.7%
서 21
 
5.2%
울 21
 
5.2%
특 21
 
5.2%
구 21
 
5.2%
별 21
 
5.2%
시 21
 
5.2%
로 20
 
5.0%
수 15
 
3.7%
Other values (64) 157
39.1%
Decimal Number
ValueCountFrequency (%)
1 26
18.2%
2 25
17.5%
0 23
16.1%
4 18
12.6%
3 18
12.6%
5 14
9.8%
6 10
 
7.0%
7 5
 
3.5%
8 2
 
1.4%
9 2
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
20.0%
B 2
20.0%
Y 1
10.0%
F 1
10.0%
O 1
10.0%
R 1
10.0%
H 1
10.0%
U 1
10.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
54.7%
Common 323
43.9%
Latin 10
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
12.2%
성 35
 
8.7%
서 21
 
5.2%
울 21
 
5.2%
특 21
 
5.2%
구 21
 
5.2%
별 21
 
5.2%
시 21
 
5.2%
로 20
 
5.0%
수 15
 
3.7%
Other values (64) 157
39.1%
Common
ValueCountFrequency (%)
108
33.4%
, 27
 
8.4%
1 26
 
8.0%
2 25
 
7.7%
0 23
 
7.1%
( 21
 
6.5%
) 21
 
6.5%
4 18
 
5.6%
3 18
 
5.6%
5 14
 
4.3%
Other values (5) 22
 
6.8%
Latin
ValueCountFrequency (%)
C 2
20.0%
B 2
20.0%
Y 1
10.0%
F 1
10.0%
O 1
10.0%
R 1
10.0%
H 1
10.0%
U 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
54.7%
ASCII 333
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
32.4%
, 27
 
8.1%
1 26
 
7.8%
2 25
 
7.5%
0 23
 
6.9%
( 21
 
6.3%
) 21
 
6.3%
4 18
 
5.4%
3 18
 
5.4%
5 14
 
4.2%
Other values (13) 32
 
9.6%
Hangul
ValueCountFrequency (%)
동 49
 
12.2%
성 35
 
8.7%
서 21
 
5.2%
울 21
 
5.2%
특 21
 
5.2%
구 21
 
5.2%
별 21
 
5.2%
시 21
 
5.2%
로 20
 
5.0%
수 15
 
3.7%
Other values (64) 157
39.1%

도로명우편번호
Text

MISSING 

Distinct9
Distinct (%)64.3%
Missing10
Missing (%)41.7%
Memory size324.0 B
2024-05-18T11:57:08.284369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5
Min length5

Characters and Unicode

Total characters77
Distinct characters10
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

Unique7 ?
Unique (%)50.0%

Sample

1st row133866
2nd row133120
3rd row133867
4th row133760
5th row133833
ValueCountFrequency (%)
04705 4
28.6%
04782 3
21.4%
133866 1
 
7.1%
133120 1
 
7.1%
133867 1
 
7.1%
133760 1
 
7.1%
133833 1
 
7.1%
133-120 1
 
7.1%
04778 1
 
7.1%
2024-05-18T11:57:09.313526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15
19.5%
3 14
18.2%
7 11
14.3%
4 8
10.4%
1 8
10.4%
8 7
9.1%
2 5
 
6.5%
5 4
 
5.2%
6 4
 
5.2%
- 1
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76
98.7%
Dash Punctuation 1
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
19.7%
3 14
18.4%
7 11
14.5%
4 8
10.5%
1 8
10.5%
8 7
9.2%
2 5
 
6.6%
5 4
 
5.3%
6 4
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15
19.5%
3 14
18.2%
7 11
14.3%
4 8
10.4%
1 8
10.4%
8 7
9.1%
2 5
 
6.5%
5 4
 
5.2%
6 4
 
5.2%
- 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15
19.5%
3 14
18.2%
7 11
14.3%
4 8
10.4%
1 8
10.4%
8 7
9.1%
2 5
 
6.5%
5 4
 
5.2%
6 4
 
5.2%
- 1
 
1.3%

사업장명
Text

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-18T11:57:09.813109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length9.5416667
Min length3

Characters and Unicode

Total characters229
Distinct characters83
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

Unique17 ?
Unique (%)70.8%

Sample

1st row피스탑
2nd row서울용산대리점
3rd row타박앤패밀리 성동구대리점
4th row(주)다솔그린
5th row우인상사
ValueCountFrequency (%)
타박앤패밀리 7
18.9%
성동구대리점 7
18.9%
주식회사 2
 
5.4%
언클로젯 1
 
2.7%
주)이마트에브리데이 1
 
2.7%
주)브이랩인터내셔널 1
 
2.7%
알리스타종사 1
 
2.7%
inc 1
 
2.7%
주)이마트24(e-mart24 1
 
2.7%
주)씨스페이시스 1
 
2.7%
Other values (14) 14
37.8%
2024-05-18T11:57:10.600495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 19
 
8.3%
13
 
5.7%
대 9
 
3.9%
점 9
 
3.9%
동 8
 
3.5%
성 8
 
3.5%
타 8
 
3.5%
밀 7
 
3.1%
패 7
 
3.1%
구 7
 
3.1%
Other values (73) 134
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
83.0%
Space Separator 13
 
5.7%
Open Punctuation 6
 
2.6%
Close Punctuation 6
 
2.6%
Uppercase Letter 6
 
2.6%
Decimal Number 4
 
1.7%
Lowercase Letter 2
 
0.9%
Other Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 19
 
10.0%
대 9
 
4.7%
점 9
 
4.7%
동 8
 
4.2%
성 8
 
4.2%
타 8
 
4.2%
밀 7
 
3.7%
패 7
 
3.7%
구 7
 
3.7%
앤 7
 
3.7%
Other values (58) 101
53.2%
Uppercase Letter
ValueCountFrequency (%)
I 1
16.7%
R 1
16.7%
T 1
16.7%
A 1
16.7%
M 1
16.7%
E 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
83.0%
Common 31
 
13.5%
Latin 8
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 19
 
10.0%
대 9
 
4.7%
점 9
 
4.7%
동 8
 
4.2%
성 8
 
4.2%
타 8
 
4.2%
밀 7
 
3.7%
패 7
 
3.7%
구 7
 
3.7%
앤 7
 
3.7%
Other values (58) 101
53.2%
Latin
ValueCountFrequency (%)
c 1
12.5%
n 1
12.5%
I 1
12.5%
R 1
12.5%
T 1
12.5%
A 1
12.5%
M 1
12.5%
E 1
12.5%
Common
ValueCountFrequency (%)
13
41.9%
( 6
19.4%
) 6
19.4%
2 2
 
6.5%
4 2
 
6.5%
. 1
 
3.2%
- 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
83.0%
ASCII 39
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 19
 
10.0%
대 9
 
4.7%
점 9
 
4.7%
동 8
 
4.2%
성 8
 
4.2%
타 8
 
4.2%
밀 7
 
3.7%
패 7
 
3.7%
구 7
 
3.7%
앤 7
 
3.7%
Other values (58) 101
53.2%
ASCII
ValueCountFrequency (%)
13
33.3%
( 6
15.4%
) 6
15.4%
2 2
 
5.1%
4 2
 
5.1%
. 1
 
2.6%
c 1
 
2.6%
n 1
 
2.6%
I 1
 
2.6%
R 1
 
2.6%
Other values (5) 5
 
12.8%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2007-11-16 15:17:49
Maximum2024-04-24 17:40:59
2024-05-18T11:57:10.904603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:57:11.190892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
20 
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 20
83.3%
U 4
 
16.7%

Length

2024-05-18T11:57:11.440675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:57:11.613671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
83.3%
u 4
 
16.7%

데이터갱신일자
Date

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:06:00
2024-05-18T11:57:11.760102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:57:11.948702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203739.52
Minimum201145.39
Maximum205835.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-18T11:57:12.158352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201145.39
5-th percentile202223.95
Q1202913.08
median203191.01
Q3204497.79
95-th percentile205664.8
Maximum205835.25
Range4689.8637
Interquartile range (IQR)1584.7124

Descriptive statistics

Standard deviation1259.0716
Coefficient of variation (CV)0.0061798103
Kurtosis-0.7256711
Mean203739.52
Median Absolute Deviation (MAD)893.05505
Skewness0.16468213
Sum4889748.6
Variance1585261.3
MonotonicityNot monotonic
2024-05-18T11:57:12.517185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
202913.076971804 7
29.2%
204371.0 2
 
8.3%
205184.716063461 1
 
4.2%
202862.81519889 1
 
4.2%
203924.802039313 1
 
4.2%
204390.075780509 1
 
4.2%
205613.812674726 1
 
4.2%
204820.930082467 1
 
4.2%
201145.389175397 1
 
4.2%
205835.252894208 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
201145.389175397 1
 
4.2%
202138.691938783 1
 
4.2%
202707.108869 1
 
4.2%
202862.81519889 1
 
4.2%
202913.076971804 7
29.2%
203089.863865288 1
 
4.2%
203292.151898869 1
 
4.2%
203924.802039313 1
 
4.2%
204353.770834315 1
 
4.2%
204371.0 2
 
8.3%
ValueCountFrequency (%)
205835.252894208 1
4.2%
205673.798753823 1
4.2%
205613.812674726 1
4.2%
205581.849919 1
4.2%
205184.716063461 1
4.2%
204820.930082467 1
4.2%
204390.075780509 1
4.2%
204371.0 2
8.3%
204353.770834315 1
4.2%
203924.802039313 1
4.2%

좌표정보(Y)
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450413.1
Minimum448695.73
Maximum451670.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-18T11:57:12.857723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448695.73
5-th percentile448936.1
Q1449299.95
median450611.33
Q3451670.97
95-th percentile451670.97
Maximum451670.97
Range2975.2406
Interquartile range (IQR)2371.0206

Descriptive statistics

Standard deviation1147.7144
Coefficient of variation (CV)0.0025481373
Kurtosis-1.8666493
Mean450413.1
Median Absolute Deviation (MAD)1059.6432
Skewness-0.093778848
Sum10809914
Variance1317248.4
MonotonicityNot monotonic
2024-05-18T11:57:13.063769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
451670.971600783 7
29.2%
449241.0 2
 
8.3%
451050.148324829 1
 
4.2%
451036.435423248 1
 
4.2%
448934.858771073 1
 
4.2%
449237.445364857 1
 
4.2%
449514.559150754 1
 
4.2%
449692.462831638 1
 
4.2%
448695.731035857 1
 
4.2%
449495.976018924 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
448695.731035857 1
4.2%
448934.858771073 1
4.2%
448943.147826 1
4.2%
449237.445364857 1
4.2%
449241.0 2
8.3%
449319.601270252 1
4.2%
449495.976018924 1
4.2%
449514.559150754 1
4.2%
449523.964844279 1
4.2%
449692.462831638 1
4.2%
ValueCountFrequency (%)
451670.971600783 7
29.2%
451565.894991 1
 
4.2%
451271.366165685 1
 
4.2%
451267.730901002 1
 
4.2%
451050.148324829 1
 
4.2%
451036.435423248 1
 
4.2%
450186.221380824 1
 
4.2%
449692.462831638 1
 
4.2%
449523.964844279 1
 
4.2%
449514.559150754 1
 
4.2%

취급제품명
Text

MISSING 

Distinct12
Distinct (%)54.5%
Missing2
Missing (%)8.3%
Memory size324.0 B
2024-05-18T11:57:13.361401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length17.954545
Min length4

Characters and Unicode

Total characters395
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)36.4%

Sample

1st row모네아연초(각련)
2nd row니드주몽실크, 니드주몽트윈, 니드주몽핑크, 니드주몽블루
3rd row니드주몽실크, 니드주몽트윈, 니드주몽핑크, 니드주몽블루
4th row자료없음
5th row자료없음
ValueCountFrequency (%)
니드주몽실크 8
11.9%
니드주몽핑크 8
11.9%
니드주몽블루 8
11.9%
니드주몽트윈 8
11.9%
전자담배 4
 
6.0%
외 4
 
6.0%
자료없음 2
 
3.0%
전자담배를 2
 
3.0%
포함한 2
 
3.0%
담배제품 2
 
3.0%
Other values (19) 19
28.4%
2024-05-18T11:57:14.137411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
11.4%
니 32
 
8.1%
드 32
 
8.1%
주 32
 
8.1%
몽 32
 
8.1%
, 28
 
7.1%
크 16
 
4.1%
배 12
 
3.0%
담 12
 
3.0%
자 11
 
2.8%
Other values (56) 143
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
76.7%
Space Separator 45
 
11.4%
Other Punctuation 28
 
7.1%
Decimal Number 12
 
3.0%
Lowercase Letter 3
 
0.8%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
니 32
 
10.6%
드 32
 
10.6%
주 32
 
10.6%
몽 32
 
10.6%
크 16
 
5.3%
배 12
 
4.0%
담 12
 
4.0%
자 11
 
3.6%
전 9
 
3.0%
윈 8
 
2.6%
Other values (43) 107
35.3%
Decimal Number
ValueCountFrequency (%)
0 3
25.0%
2 2
16.7%
3 2
16.7%
7 2
16.7%
1 2
16.7%
9 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
b 1
33.3%
j 1
33.3%
h 1
33.3%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
76.7%
Common 89
 
22.5%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
니 32
 
10.6%
드 32
 
10.6%
주 32
 
10.6%
몽 32
 
10.6%
크 16
 
5.3%
배 12
 
4.0%
담 12
 
4.0%
자 11
 
3.6%
전 9
 
3.0%
윈 8
 
2.6%
Other values (43) 107
35.3%
Common
ValueCountFrequency (%)
45
50.6%
, 28
31.5%
0 3
 
3.4%
( 2
 
2.2%
2 2
 
2.2%
3 2
 
2.2%
) 2
 
2.2%
7 2
 
2.2%
1 2
 
2.2%
9 1
 
1.1%
Latin
ValueCountFrequency (%)
b 1
33.3%
j 1
33.3%
h 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
76.7%
ASCII 92
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
48.9%
, 28
30.4%
0 3
 
3.3%
( 2
 
2.2%
2 2
 
2.2%
3 2
 
2.2%
) 2
 
2.2%
7 2
 
2.2%
1 2
 
2.2%
9 1
 
1.1%
Other values (3) 3
 
3.3%
Hangul
ValueCountFrequency (%)
니 32
 
10.6%
드 32
 
10.6%
주 32
 
10.6%
몽 32
 
10.6%
크 16
 
5.3%
배 12
 
4.0%
담 12
 
4.0%
자 11
 
3.6%
전 9
 
3.0%
윈 8
 
2.6%
Other values (43) 107
35.3%

담배공급업체명
Text

MISSING 

Distinct14
Distinct (%)63.6%
Missing2
Missing (%)8.3%
Memory size324.0 B
2024-05-18T11:57:14.535242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length35
Mean length18.954545
Min length3

Characters and Unicode

Total characters417
Distinct characters94
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)50.0%

Sample

1st row(주)모네아
2nd row(주)타박앤패밀리
3rd row(주)코리아 토바코 컴퍼니 / 타박앤 패밀리
4th row자료없음
5th row자료없음
ValueCountFrequency (%)
주)코리아 7
 
9.7%
컴퍼니 7
 
9.7%
7
 
9.7%
타박앤 7
 
9.7%
패밀리 7
 
9.7%
토바코 7
 
9.7%
자료없음 2
 
2.8%
주)한국전자담배 2
 
2.8%
co 2
 
2.8%
technology 2
 
2.8%
Other values (22) 22
30.6%
2024-05-18T11:57:15.371374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
12.0%
리 22
 
5.3%
( 19
 
4.6%
) 19
 
4.6%
코 19
 
4.6%
주 18
 
4.3%
아 13
 
3.1%
e 12
 
2.9%
n 10
 
2.4%
o 9
 
2.2%
Other values (84) 226
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
52.5%
Lowercase Letter 81
 
19.4%
Space Separator 50
 
12.0%
Open Punctuation 19
 
4.6%
Close Punctuation 19
 
4.6%
Other Punctuation 16
 
3.8%
Uppercase Letter 13
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 22
 
10.0%
코 19
 
8.7%
주 18
 
8.2%
아 13
 
5.9%
앤 9
 
4.1%
타 8
 
3.7%
박 8
 
3.7%
패 8
 
3.7%
밀 8
 
3.7%
토 8
 
3.7%
Other values (50) 98
44.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
14.8%
n 10
12.3%
o 9
11.1%
l 6
7.4%
h 6
7.4%
i 6
7.4%
c 6
7.4%
t 6
7.4%
s 3
 
3.7%
d 3
 
3.7%
Other values (9) 14
17.3%
Uppercase Letter
ValueCountFrequency (%)
E 3
23.1%
C 2
15.4%
L 2
15.4%
S 1
 
7.7%
B 1
 
7.7%
D 1
 
7.7%
X 1
 
7.7%
H 1
 
7.7%
T 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 7
43.8%
, 6
37.5%
. 3
18.8%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
52.5%
Common 104
24.9%
Latin 94
22.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 22
 
10.0%
코 19
 
8.7%
주 18
 
8.2%
아 13
 
5.9%
앤 9
 
4.1%
타 8
 
3.7%
박 8
 
3.7%
패 8
 
3.7%
밀 8
 
3.7%
토 8
 
3.7%
Other values (50) 98
44.7%
Latin
ValueCountFrequency (%)
e 12
12.8%
n 10
 
10.6%
o 9
 
9.6%
l 6
 
6.4%
h 6
 
6.4%
i 6
 
6.4%
c 6
 
6.4%
t 6
 
6.4%
s 3
 
3.2%
d 3
 
3.2%
Other values (18) 27
28.7%
Common
ValueCountFrequency (%)
50
48.1%
( 19
 
18.3%
) 19
 
18.3%
/ 7
 
6.7%
, 6
 
5.8%
. 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
52.5%
ASCII 198
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
25.3%
( 19
 
9.6%
) 19
 
9.6%
e 12
 
6.1%
n 10
 
5.1%
o 9
 
4.5%
/ 7
 
3.5%
l 6
 
3.0%
h 6
 
3.0%
i 6
 
3.0%
Other values (24) 54
27.3%
Hangul
ValueCountFrequency (%)
리 22
 
10.0%
코 19
 
8.7%
주 18
 
8.2%
아 13
 
5.9%
앤 9
 
4.1%
타 8
 
3.7%
박 8
 
3.7%
패 8
 
3.7%
밀 8
 
3.7%
토 8
 
3.7%
Other values (50) 98
44.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
03030000200630301031550000120060711<NA>3폐업3폐업처리20090102<NA><NA><NA><NA><NA>133170서울특별시 성동구 용답동 228번지 1호 미라보오피스텔 704호서울특별시 성동구 천호대로 366 (용답동,미라보오피스텔 704호)<NA>피스탑2009-01-02 17:13:54I2018-08-31 23:59:59.0<NA>205184.716063451050.148325모네아연초(각련)(주)모네아
13030000200730301031250000120070709<NA>1영업/정상1정상영업<NA><NA><NA><NA>2291-7622<NA>133778서울특별시 성동구 금호동1가 663번지 벽산아파트 105동 701호서울특별시 성동구 난계로 20, 105동 701호 (금호동1가,벽산아파트)<NA>서울용산대리점2012-12-18 11:10:50I2018-08-31 23:59:59.0<NA>202138.691939450186.221381니드주몽실크, 니드주몽트윈, 니드주몽핑크, 니드주몽블루(주)타박앤패밀리
2303000020073030103125000220070811<NA>1영업/정상1정상영업<NA><NA><NA><NA>3395-5550<NA>133050서울특별시 성동구 마장동 533번지 14호<NA><NA>타박앤패밀리 성동구대리점2009-07-23 09:25:09I2018-08-31 23:59:59.0<NA>202913.076972451670.971601니드주몽실크, 니드주몽트윈, 니드주몽핑크, 니드주몽블루(주)코리아 토바코 컴퍼니 / 타박앤 패밀리
33030000200730301031550000120030123<NA>3폐업3폐업처리20040209<NA><NA><NA>2282-6414<NA>133714서울특별시 성동구 도선동 14번지 신한넥스텔 416서울특별시 성동구 고산자로 269 (도선동,신한넥스텔 416)<NA>(주)다솔그린2007-11-16 15:17:49I2018-08-31 23:59:59.0<NA>203089.863865451271.366166자료없음자료없음
43030000200730301031550000220050103<NA>3폐업3폐업처리20060428<NA><NA><NA>466-8222<NA>133120서울특별시 성동구 성수동2가 281번지 8호 304호서울특별시 성동구 광나루로 320-2 (성수동2가,304호)<NA>우인상사2007-11-16 15:22:20I2018-08-31 23:59:59.0<NA>205673.798754449523.964844자료없음자료없음
53030000201030301031550000120101118<NA>3폐업3폐업처리20130328<NA><NA><NA><NA><NA>133857서울특별시 성동구 왕십리2동 957번지 2호서울특별시 성동구 왕십리로 353 (하왕십리동)<NA>한국전자2013-07-18 13:37:53I2018-08-31 23:59:59.0<NA>202707.108869451565.894991전자담배(주)한국전자담배
63030000201130301031550000120110726<NA>3폐업3폐업처리20120213<NA><NA><NA>468-4582<NA>133822서울특별시 성동구 성수1가2동 14번지 72호 광용빌딩 4층서울특별시 성동구 아차산로 54 (성수동1가,광용빌딩 4층)<NA>항센코리아2012-02-13 08:58:03I2018-08-31 23:59:59.0<NA>204353.770834449319.60127전자담배기기(주)항센코리아
73030000201130301031550000220110928<NA>3폐업3폐업처리20130507<NA><NA><NA><NA><NA>133831서울특별시 성동구 성수2가3동 19번지 12호서울특별시 성동구 동일로 113 (성수동2가)<NA>인필링2021-02-05 10:03:48U2021-02-07 02:40:00.0<NA>205581.849919448943.147826전자담배(주)인필링
83030000201330301031550000120130325<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>133866서울특별시 성동구 행당1동 168-1, 왕십리민자역사본동제3층제C-57호,C-62호서울특별시 성동구 왕십리광장로 17 (행당동, 왕십리민자역사본동제3층제C-57호,C-62호)133866전자담배2013-12-12 15:29:01I2018-08-31 23:59:59.0<NA>203292.151899451267.730901전자 담배, 부품류라미야
93030000201330301031550000220130722<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>133832서울특별시 성동구 성수2가3동 281번지 29호서울특별시 성동구 동일로 173, 1층 2호 (성수동2가)133120스누스코리아 성동점2013-07-23 17:38:35I2018-08-31 23:59:59.0<NA>205835.252894449495.976019스누스(무연담배)(주)스누스 코리아
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
143030000201530301031551000020070811<NA>3폐업3폐업처리20090723<NA><NA><NA>3395-5550<NA>133050서울특별시 성동구 마장동 533번지 14호<NA><NA>타박앤패밀리 성동구대리점2015-04-09 15:35:40I2018-08-31 23:59:59.0<NA>202913.076972451670.971601니드주몽실크, 니드주몽트윈, 니드주몽핑크, 니드주몽블루(주)코리아 토바코 컴퍼니 / 타박앤 패밀리
15303000020153030103155100012015-04-10<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-6916-1626<NA><NA><NA>서울특별시 성동구 광나루로 310, 1층 (성수동2가, 푸조비즈타워 101,301,302,401,402,403,404,405호)133-120(주)이마트24(E-MART24 Inc.)2024-03-12 17:41:24U2023-12-02 23:04:00.0<NA>205613.812675449514.559151<NA><NA>
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