Overview

Dataset statistics

Number of variables27
Number of observations39
Missing cells288
Missing cells (%)27.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory234.4 B

Variable types

Categorical8
Numeric5
DateTime3
Unsupported5
Text6

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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-19881/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 has 26 (66.7%) missing valuesMissing
휴업시작일자 has 39 (100.0%) missing valuesMissing
휴업종료일자 has 39 (100.0%) missing valuesMissing
재개업일자 has 39 (100.0%) missing valuesMissing
전화번호 has 17 (43.6%) missing valuesMissing
소재지면적 has 39 (100.0%) missing valuesMissing
지번주소 has 10 (25.6%) missing valuesMissing
도로명주소 has 10 (25.6%) missing valuesMissing
도로명우편번호 has 10 (25.6%) missing valuesMissing
업태구분명 has 39 (100.0%) missing valuesMissing
좌표정보(X) has 8 (20.5%) missing valuesMissing
좌표정보(Y) has 8 (20.5%) missing valuesMissing
취급제품명 has 2 (5.1%) missing valuesMissing
담배공급업체명 has 2 (5.1%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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 started2024-05-11 05:38:58.408808
Analysis finished2024-05-11 05:38:59.293252
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
3040000
39 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 39
100.0%

Length

2024-05-11T14:38:59.413459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:59.568500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 39
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0103297 × 1018
Minimum2.001304 × 1018
Maximum2.022304 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:38:59.789607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001304 × 1018
5-th percentile2.002204 × 1018
Q12.003304 × 1018
median2.010304 × 1018
Q32.015304 × 1018
95-th percentile2.019604 × 1018
Maximum2.022304 × 1018
Range2.1000012 × 1016
Interquartile range (IQR)1.200001 × 1016

Descriptive statistics

Standard deviation6.1322624 × 1015
Coefficient of variation (CV)0.0030503765
Kurtosis-1.0203318
Mean2.0103297 × 1018
Median Absolute Deviation (MAD)5.0000065 × 1015
Skewness0.011436701
Sum4.6158802 × 1018
Variance3.7604642 × 1031
MonotonicityStrictly increasing
2024-05-11T14:39:00.228168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2001304007312500001 1
 
2.6%
2001304007312500002 1
 
2.6%
2013304016815500001 1
 
2.6%
2013304016815500002 1
 
2.6%
2013304016815500003 1
 
2.6%
2014304016815500001 1
 
2.6%
2014304016815500002 1
 
2.6%
2015304016815500001 1
 
2.6%
2015304016815500002 1
 
2.6%
2015304016815500003 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
2001304007312500001 1
2.6%
2001304007312500002 1
2.6%
2002304007312500002 1
2.6%
2002304007312500003 1
2.6%
2002304007312500004 1
2.6%
2002304007312500005 1
2.6%
2002304007312500006 1
2.6%
2002304007312500007 1
2.6%
2003304007312500001 1
2.6%
2003304007312500002 1
2.6%
ValueCountFrequency (%)
2022304019015500002 1
2.6%
2022304019015500001 1
2.6%
2019304019015500001 1
2.6%
2016304019015500003 1
2.6%
2016304019015500002 1
2.6%
2016304019015500001 1
2.6%
2016304016815500001 1
2.6%
2015304016815500005 1
2.6%
2015304016815500004 1
2.6%
2015304016815500003 1
2.6%

인허가일자
Date

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2001-07-19 00:00:00
Maximum2022-07-05 00:00:00
2024-05-11T14:39:00.445652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:00.685166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

인허가취소일자
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
32 
20060123
7 

Length

Max length8
Median length4
Mean length4.7179487
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20060123
2nd row20060123
3rd row<NA>
4th row20060123
5th row20060123

Common Values

ValueCountFrequency (%)
<NA> 32
82.1%
20060123 7
 
17.9%

Length

2024-05-11T14:39:01.114578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:01.313400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
82.1%
20060123 7
 
17.9%

영업상태코드
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
1
19 
3
13 
4
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 19
48.7%
3 13
33.3%
4 7
 
17.9%

Length

2024-05-11T14:39:01.491831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:01.669417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
48.7%
3 13
33.3%
4 7
 
17.9%

영업상태명
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
영업/정상
19 
폐업
13 
취소/말소/만료/정지/중지
7 

Length

Max length14
Median length5
Mean length5.6153846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 19
48.7%
폐업 13
33.3%
취소/말소/만료/정지/중지 7
 
17.9%

Length

2024-05-11T14:39:01.851362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:02.028723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 19
48.7%
폐업 13
33.3%
취소/말소/만료/정지/중지 7
 
17.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
1
19 
3
13 
4
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 19
48.7%
3 13
33.3%
4 7
 
17.9%

Length

2024-05-11T14:39:02.217191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:02.356948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
48.7%
3 13
33.3%
4 7
 
17.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
정상영업
19 
폐업처리
13 
직권취소
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 19
48.7%
폐업처리 13
33.3%
직권취소 7
 
17.9%

Length

2024-05-11T14:39:02.503784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:02.670930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 19
48.7%
폐업처리 13
33.3%
직권취소 7
 
17.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing26
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean20138295
Minimum20020523
Maximum20220128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:39:02.808034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020523
5-th percentile20020821
Q120140411
median20160328
Q320180813
95-th percentile20202662
Maximum20220128
Range199605
Interquartile range (IQR)40402

Descriptive statistics

Standard deviation68413.839
Coefficient of variation (CV)0.0033972013
Kurtosis-0.27685888
Mean20138295
Median Absolute Deviation (MAD)20485
Skewness-1.0639165
Sum2.6179783 × 108
Variance4.6804534 × 109
MonotonicityNot monotonic
2024-05-11T14:39:02.976256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20021019 1
 
2.6%
20020523 1
 
2.6%
20031222 1
 
2.6%
20150213 1
 
2.6%
20190624 1
 
2.6%
20140411 1
 
2.6%
20150414 1
 
2.6%
20180813 1
 
2.6%
20220128 1
 
2.6%
20160328 1
 
2.6%
Other values (3) 3
 
7.7%
(Missing) 26
66.7%
ValueCountFrequency (%)
20020523 1
2.6%
20021019 1
2.6%
20031222 1
2.6%
20140411 1
2.6%
20150213 1
2.6%
20150414 1
2.6%
20160328 1
2.6%
20160714 1
2.6%
20180402 1
2.6%
20180813 1
2.6%
ValueCountFrequency (%)
20220128 1
2.6%
20191018 1
2.6%
20190624 1
2.6%
20180813 1
2.6%
20180402 1
2.6%
20160714 1
2.6%
20160328 1
2.6%
20150414 1
2.6%
20150213 1
2.6%
20140411 1
2.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)86.4%
Missing17
Missing (%)43.6%
Memory size444.0 B
2024-05-11T14:39:03.276865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.136364
Min length9

Characters and Unicode

Total characters245
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)77.3%

Sample

1st row02 463 0278
2nd row02 463 3815
3rd row02 452 0280
4th row02-455-9883
5th row02-458-7840
ValueCountFrequency (%)
02-000-0000 3
 
10.7%
02 3
 
10.7%
463 2
 
7.1%
02-3424-4090 2
 
7.1%
3424-3380 1
 
3.6%
0278 1
 
3.6%
02-3424-4009 1
 
3.6%
02-462-4620 1
 
3.6%
070-7555-7008 1
 
3.6%
02-764-3377 1
 
3.6%
Other values (12) 12
42.9%
2024-05-11T14:39:03.713754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58
23.7%
2 39
15.9%
- 34
13.9%
4 34
13.9%
3 18
 
7.3%
8 16
 
6.5%
5 11
 
4.5%
7 10
 
4.1%
9
 
3.7%
9 8
 
3.3%
Other values (2) 8
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
82.4%
Dash Punctuation 34
 
13.9%
Space Separator 9
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
28.7%
2 39
19.3%
4 34
16.8%
3 18
 
8.9%
8 16
 
7.9%
5 11
 
5.4%
7 10
 
5.0%
9 8
 
4.0%
6 5
 
2.5%
1 3
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 58
23.7%
2 39
15.9%
- 34
13.9%
4 34
13.9%
3 18
 
7.3%
8 16
 
6.5%
5 11
 
4.5%
7 10
 
4.1%
9
 
3.7%
9 8
 
3.3%
Other values (2) 8
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58
23.7%
2 39
15.9%
- 34
13.9%
4 34
13.9%
3 18
 
7.3%
8 16
 
6.5%
5 11
 
4.5%
7 10
 
4.1%
9
 
3.7%
9 8
 
3.3%
Other values (2) 8
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소재지우편번호
Categorical

Distinct6
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
24 
143721
10 
143802
 
2
143875
 
1
143840
 
1

Length

Max length6
Median length4
Mean length4.7692308
Min length4

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
61.5%
143721 10
25.6%
143802 2
 
5.1%
143875 1
 
2.6%
143840 1
 
2.6%
143831 1
 
2.6%

Length

2024-05-11T14:39:03.890777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:04.095160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
61.5%
143721 10
25.6%
143802 2
 
5.1%
143875 1
 
2.6%
143840 1
 
2.6%
143831 1
 
2.6%

지번주소
Text

MISSING 

Distinct24
Distinct (%)82.8%
Missing10
Missing (%)25.6%
Memory size444.0 B
2024-05-11T14:39:04.428443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length31.275862
Min length22

Characters and Unicode

Total characters907
Distinct characters61
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

Unique20 ?
Unique (%)69.0%

Sample

1st row서울특별시 광진구 노유동 74번지 14호 한강프라자 303
2nd row서울특별시 광진구 노유동 74번지 14호 한강프라자 303
3rd row서울특별시 광진구 중곡동 43번지 20호
4th row서울특별시 광진구 중곡동 43번지 20호
5th row서울특별시 광진구 중곡동 43번지 20호
ValueCountFrequency (%)
서울특별시 29
15.2%
광진구 29
15.2%
4호 13
 
6.8%
546번지 12
 
6.3%
구의3동 10
 
5.2%
구의동 7
 
3.7%
테크노마트 7
 
3.7%
2층 5
 
2.6%
중곡동 4
 
2.1%
43번지 3
 
1.6%
Other values (55) 72
37.7%
2024-05-11T14:39:05.010293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
 
18.4%
구 46
 
5.1%
4 41
 
4.5%
호 35
 
3.9%
3 35
 
3.9%
광 34
 
3.7%
진 31
 
3.4%
동 30
 
3.3%
서 29
 
3.2%
특 29
 
3.2%
Other values (51) 430
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
57.2%
Decimal Number 193
 
21.3%
Space Separator 167
 
18.4%
Dash Punctuation 13
 
1.4%
Uppercase Letter 11
 
1.2%
Other Punctuation 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 46
 
8.9%
호 35
 
6.7%
광 34
 
6.6%
진 31
 
6.0%
동 30
 
5.8%
서 29
 
5.6%
특 29
 
5.6%
별 29
 
5.6%
시 29
 
5.6%
울 29
 
5.6%
Other values (34) 198
38.2%
Decimal Number
ValueCountFrequency (%)
4 41
21.2%
3 35
18.1%
6 24
12.4%
5 22
11.4%
0 17
8.8%
1 17
8.8%
2 16
 
8.3%
9 7
 
3.6%
8 7
 
3.6%
7 7
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 5
45.5%
B 4
36.4%
A 2
 
18.2%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
57.2%
Common 377
41.6%
Latin 11
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 46
 
8.9%
호 35
 
6.7%
광 34
 
6.6%
진 31
 
6.0%
동 30
 
5.8%
서 29
 
5.6%
특 29
 
5.6%
별 29
 
5.6%
시 29
 
5.6%
울 29
 
5.6%
Other values (34) 198
38.2%
Common
ValueCountFrequency (%)
167
44.3%
4 41
 
10.9%
3 35
 
9.3%
6 24
 
6.4%
5 22
 
5.8%
0 17
 
4.5%
1 17
 
4.5%
2 16
 
4.2%
- 13
 
3.4%
9 7
 
1.9%
Other values (4) 18
 
4.8%
Latin
ValueCountFrequency (%)
C 5
45.5%
B 4
36.4%
A 2
 
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
57.2%
ASCII 388
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
43.0%
4 41
 
10.6%
3 35
 
9.0%
6 24
 
6.2%
5 22
 
5.7%
0 17
 
4.4%
1 17
 
4.4%
2 16
 
4.1%
- 13
 
3.4%
9 7
 
1.8%
Other values (7) 29
 
7.5%
Hangul
ValueCountFrequency (%)
구 46
 
8.9%
호 35
 
6.7%
광 34
 
6.6%
진 31
 
6.0%
동 30
 
5.8%
서 29
 
5.6%
특 29
 
5.6%
별 29
 
5.6%
시 29
 
5.6%
울 29
 
5.6%
Other values (34) 198
38.2%

도로명주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing10
Missing (%)25.6%
Memory size444.0 B
2024-05-11T14:39:05.708256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length39.586207
Min length23

Characters and Unicode

Total characters1148
Distinct characters70
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

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 뚝섬로 692 (자양동)
2nd row서울특별시 광진구 동일로34길 26 (군자동)
3rd row서울특별시 광진구 아차산로78길 44, 505~506호 (광장동, 현대골든텔 3차)
4th row서울특별시 광진구 아차산로78길 44, 506호 (광장동)
5th row서울특별시 광진구 광나루로56길 85 (구의동)
ValueCountFrequency (%)
서울특별시 29
13.4%
광진구 29
13.4%
구의동 21
 
9.7%
광나루로56길 18
 
8.3%
85 18
 
8.3%
테크노마트 11
 
5.1%
2층 8
 
3.7%
4층 5
 
2.3%
3층 4
 
1.8%
자양동 3
 
1.4%
Other values (55) 71
32.7%
2024-05-11T14:39:06.177321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
16.5%
광 52
 
4.5%
구 50
 
4.4%
5 46
 
4.0%
, 44
 
3.8%
동 36
 
3.1%
진 31
 
2.7%
6 30
 
2.6%
서 29
 
2.5%
울 29
 
2.5%
Other values (60) 612
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 616
53.7%
Decimal Number 206
 
17.9%
Space Separator 189
 
16.5%
Other Punctuation 44
 
3.8%
Open Punctuation 29
 
2.5%
Close Punctuation 29
 
2.5%
Dash Punctuation 16
 
1.4%
Uppercase Letter 16
 
1.4%
Math Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 52
 
8.4%
구 50
 
8.1%
동 36
 
5.8%
진 31
 
5.0%
서 29
 
4.7%
울 29
 
4.7%
로 29
 
4.7%
특 29
 
4.7%
별 29
 
4.7%
시 29
 
4.7%
Other values (41) 273
44.3%
Decimal Number
ValueCountFrequency (%)
5 46
22.3%
6 30
14.6%
2 24
11.7%
0 24
11.7%
8 24
11.7%
4 17
 
8.3%
3 16
 
7.8%
9 10
 
4.9%
1 9
 
4.4%
7 6
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
C 6
37.5%
B 6
37.5%
A 4
25.0%
Space Separator
ValueCountFrequency (%)
189
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 616
53.7%
Common 516
44.9%
Latin 16
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 52
 
8.4%
구 50
 
8.1%
동 36
 
5.8%
진 31
 
5.0%
서 29
 
4.7%
울 29
 
4.7%
로 29
 
4.7%
특 29
 
4.7%
별 29
 
4.7%
시 29
 
4.7%
Other values (41) 273
44.3%
Common
ValueCountFrequency (%)
189
36.6%
5 46
 
8.9%
, 44
 
8.5%
6 30
 
5.8%
( 29
 
5.6%
) 29
 
5.6%
2 24
 
4.7%
0 24
 
4.7%
8 24
 
4.7%
4 17
 
3.3%
Other values (6) 60
 
11.6%
Latin
ValueCountFrequency (%)
C 6
37.5%
B 6
37.5%
A 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 616
53.7%
ASCII 532
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
35.5%
5 46
 
8.6%
, 44
 
8.3%
6 30
 
5.6%
( 29
 
5.5%
) 29
 
5.5%
2 24
 
4.5%
0 24
 
4.5%
8 24
 
4.5%
4 17
 
3.2%
Other values (9) 76
14.3%
Hangul
ValueCountFrequency (%)
광 52
 
8.4%
구 50
 
8.1%
동 36
 
5.8%
진 31
 
5.0%
서 29
 
4.7%
울 29
 
4.7%
로 29
 
4.7%
특 29
 
4.7%
별 29
 
4.7%
시 29
 
4.7%
Other values (41) 273
44.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)37.9%
Missing10
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean105505.07
Minimum4975
Maximum143912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:39:06.339107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4975
5-th percentile4984.2
Q15116
median143721
Q3143802
95-th percentile143862.2
Maximum143912
Range138937
Interquartile range (IQR)138686

Descriptive statistics

Standard deviation63089.667
Coefficient of variation (CV)0.59797759
Kurtosis-0.95013975
Mean105505.07
Median Absolute Deviation (MAD)81
Skewness-1.0585279
Sum3059647
Variance3.9803061 × 109
MonotonicityNot monotonic
2024-05-11T14:39:06.538325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
143721 13
33.3%
5116 5
 
12.8%
143802 2
 
5.1%
4975 2
 
5.1%
143875 1
 
2.6%
143840 1
 
2.6%
143831 1
 
2.6%
143843 1
 
2.6%
143912 1
 
2.6%
143841 1
 
2.6%
(Missing) 10
25.6%
ValueCountFrequency (%)
4975 2
 
5.1%
4998 1
 
2.6%
5116 5
 
12.8%
143721 13
33.3%
143802 2
 
5.1%
143831 1
 
2.6%
143840 1
 
2.6%
143841 1
 
2.6%
143843 1
 
2.6%
143875 1
 
2.6%
ValueCountFrequency (%)
143912 1
 
2.6%
143875 1
 
2.6%
143843 1
 
2.6%
143841 1
 
2.6%
143840 1
 
2.6%
143831 1
 
2.6%
143802 2
 
5.1%
143721 13
33.3%
5116 5
 
12.8%
4998 1
 
2.6%

사업장명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-05-11T14:39:06.817897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.4871795
Min length1

Characters and Unicode

Total characters253
Distinct characters108
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

Unique39 ?
Unique (%)100.0%

Sample

1st row노바글로벌-주
2nd row보원상사
3rd row무
4th row터사랑
5th row초록마을
ValueCountFrequency (%)
주식회사 5
 
10.6%
노바글로벌-주 1
 
2.1%
주)나노밸류 1
 
2.1%
전자담배에바코 1
 
2.1%
라이프코리아 1
 
2.1%
이시그코리아 1
 
2.1%
js마트 1
 
2.1%
주)쿨베이핑 1
 
2.1%
s&c 1
 
2.1%
컴퍼니 1
 
2.1%
Other values (33) 33
70.2%
2024-05-11T14:39:07.370993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
5.9%
이 11
 
4.3%
리 9
 
3.6%
코 8
 
3.2%
( 8
 
3.2%
8
 
3.2%
사 8
 
3.2%
) 8
 
3.2%
아 7
 
2.8%
회 6
 
2.4%
Other values (98) 165
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
81.4%
Lowercase Letter 13
 
5.1%
Open Punctuation 8
 
3.2%
Space Separator 8
 
3.2%
Close Punctuation 8
 
3.2%
Uppercase Letter 6
 
2.4%
Decimal Number 2
 
0.8%
Dash Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
7.3%
이 11
 
5.3%
리 9
 
4.4%
코 8
 
3.9%
사 8
 
3.9%
아 7
 
3.4%
회 6
 
2.9%
식 6
 
2.9%
마 5
 
2.4%
로 4
 
1.9%
Other values (80) 127
61.7%
Lowercase Letter
ValueCountFrequency (%)
i 3
23.1%
t 2
15.4%
l 2
15.4%
o 2
15.4%
g 1
 
7.7%
a 1
 
7.7%
u 1
 
7.7%
n 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
D 1
 
16.7%
C 1
 
16.7%
J 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
81.4%
Common 28
 
11.1%
Latin 19
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
7.3%
이 11
 
5.3%
리 9
 
4.4%
코 8
 
3.9%
사 8
 
3.9%
아 7
 
3.4%
회 6
 
2.9%
식 6
 
2.9%
마 5
 
2.4%
로 4
 
1.9%
Other values (80) 127
61.7%
Latin
ValueCountFrequency (%)
S 3
15.8%
i 3
15.8%
t 2
10.5%
l 2
10.5%
o 2
10.5%
g 1
 
5.3%
D 1
 
5.3%
C 1
 
5.3%
a 1
 
5.3%
u 1
 
5.3%
Other values (2) 2
10.5%
Common
ValueCountFrequency (%)
( 8
28.6%
8
28.6%
) 8
28.6%
2 2
 
7.1%
- 1
 
3.6%
& 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
81.4%
ASCII 47
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
7.3%
이 11
 
5.3%
리 9
 
4.4%
코 8
 
3.9%
사 8
 
3.9%
아 7
 
3.4%
회 6
 
2.9%
식 6
 
2.9%
마 5
 
2.4%
로 4
 
1.9%
Other values (80) 127
61.7%
ASCII
ValueCountFrequency (%)
( 8
17.0%
8
17.0%
) 8
17.0%
S 3
 
6.4%
i 3
 
6.4%
t 2
 
4.3%
l 2
 
4.3%
o 2
 
4.3%
2 2
 
4.3%
g 1
 
2.1%
Other values (8) 8
17.0%

최종수정일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2005-12-22 11:05:03
Maximum2023-07-07 15:21:14
2024-05-11T14:39:07.531223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:07.683688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
I
32 
U
7 

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 32
82.1%
U 7
 
17.9%

Length

2024-05-11T14:39:07.853420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:08.009926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 32
82.1%
u 7
 
17.9%

데이터갱신일자
Date

Distinct9
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 00:09:00
2024-05-11T14:39:08.132922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:08.279009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)38.7%
Missing8
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean207897.1
Minimum205666.05
Maximum209637.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:39:08.425482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205666.05
5-th percentile205828.73
Q1207762.64
median208394.42
Q3208394.42
95-th percentile209015.75
Maximum209637.08
Range3971.0277
Interquartile range (IQR)631.77812

Descriptive statistics

Standard deviation1061.1059
Coefficient of variation (CV)0.0051039958
Kurtosis0.19648582
Mean207897.1
Median Absolute Deviation (MAD)0
Skewness-0.96512959
Sum6444810
Variance1125945.7
MonotonicityNot monotonic
2024-05-11T14:39:08.617419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
208394.416382167 18
46.2%
205828.733665313 2
 
5.1%
209637.078215509 2
 
5.1%
207547.949510745 1
 
2.6%
206115.760746843 1
 
2.6%
208006.504810197 1
 
2.6%
205666.050466804 1
 
2.6%
206841.694004418 1
 
2.6%
205906.77215752 1
 
2.6%
206738.5345067 1
 
2.6%
Other values (2) 2
 
5.1%
(Missing) 8
20.5%
ValueCountFrequency (%)
205666.050466804 1
2.6%
205828.733665313 2
5.1%
205906.77215752 1
2.6%
206115.760746843 1
2.6%
206738.5345067 1
2.6%
206841.694004418 1
2.6%
207547.949510745 1
2.6%
207977.327019894 1
2.6%
207978.320656343 1
2.6%
208006.504810197 1
2.6%
ValueCountFrequency (%)
209637.078215509 2
 
5.1%
208394.416382167 18
46.2%
208006.504810197 1
 
2.6%
207978.320656343 1
 
2.6%
207977.327019894 1
 
2.6%
207547.949510745 1
 
2.6%
206841.694004418 1
 
2.6%
206738.5345067 1
 
2.6%
206115.760746843 1
 
2.6%
205906.77215752 1
 
2.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)38.7%
Missing8
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean448543.47
Minimum447787.81
Maximum450684.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-05-11T14:39:08.813090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447787.81
5-th percentile447808.3
Q1448165.28
median448165.28
Q3448450.45
95-th percentile449977.95
Maximum450684.21
Range2896.4035
Interquartile range (IQR)285.17408

Descriptive statistics

Standard deviation797.5404
Coefficient of variation (CV)0.0017780671
Kurtosis0.64892799
Mean448543.47
Median Absolute Deviation (MAD)0
Skewness1.4230543
Sum13904848
Variance636070.7
MonotonicityNot monotonic
2024-05-11T14:39:09.012751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
448165.279999905 18
46.2%
447787.808415064 2
 
5.1%
449832.485937903 2
 
5.1%
447828.797428789 1
 
2.6%
449711.762168968 1
 
2.6%
447998.924380413 1
 
2.6%
448189.940208905 1
 
2.6%
450684.211872313 1
 
2.6%
448710.967950599 1
 
2.6%
450123.409253788 1
 
2.6%
Other values (2) 2
 
5.1%
(Missing) 8
20.5%
ValueCountFrequency (%)
447787.808415064 2
 
5.1%
447828.797428789 1
 
2.6%
447998.924380413 1
 
2.6%
448165.279999905 18
46.2%
448189.940208905 1
 
2.6%
448710.967950599 1
 
2.6%
449691.436498248 1
 
2.6%
449692.559429343 1
 
2.6%
449711.762168968 1
 
2.6%
449832.485937903 2
 
5.1%
ValueCountFrequency (%)
450684.211872313 1
 
2.6%
450123.409253788 1
 
2.6%
449832.485937903 2
 
5.1%
449711.762168968 1
 
2.6%
449692.559429343 1
 
2.6%
449691.436498248 1
 
2.6%
448710.967950599 1
 
2.6%
448189.940208905 1
 
2.6%
448165.279999905 18
46.2%
447998.924380413 1
 
2.6%

취급제품명
Text

MISSING 

Distinct19
Distinct (%)51.4%
Missing2
Missing (%)5.1%
Memory size444.0 B
2024-05-11T14:39:09.291026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length22
Mean length8.4864865
Min length2

Characters and Unicode

Total characters314
Distinct characters90
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

Unique16 ?
Unique (%)43.2%

Sample

1st row이프
2nd rowAssos Slim Style
3rd rowFOR
4th rowFOR
5th rowFOR
ValueCountFrequency (%)
전자담배 20
32.8%
for 3
 
4.9%
니코틴 3
 
4.9%
이프 2
 
3.3%
향료 2
 
3.3%
if 1
 
1.6%
라이트 1
 
1.6%
외 1
 
1.6%
8종 1
 
1.6%
샹떼 1
 
1.6%
Other values (26) 26
42.6%
2024-05-11T14:39:09.849842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
7.6%
담 24
 
7.6%
배 24
 
7.6%
자 23
 
7.3%
전 23
 
7.3%
, 17
 
5.4%
O 8
 
2.5%
F 6
 
1.9%
이 6
 
1.9%
프 6
 
1.9%
Other values (80) 153
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
69.1%
Uppercase Letter 38
 
12.1%
Space Separator 24
 
7.6%
Other Punctuation 17
 
5.4%
Lowercase Letter 11
 
3.5%
Decimal Number 5
 
1.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 24
 
11.1%
배 24
 
11.1%
자 23
 
10.6%
전 23
 
10.6%
이 6
 
2.8%
프 6
 
2.8%
니 6
 
2.8%
라 6
 
2.8%
샤 5
 
2.3%
마 5
 
2.3%
Other values (53) 89
41.0%
Uppercase Letter
ValueCountFrequency (%)
O 8
21.1%
F 6
15.8%
T 4
10.5%
R 4
10.5%
A 3
 
7.9%
K 3
 
7.9%
I 3
 
7.9%
G 3
 
7.9%
S 2
 
5.3%
E 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
s 3
27.3%
l 2
18.2%
o 1
 
9.1%
i 1
 
9.1%
m 1
 
9.1%
t 1
 
9.1%
y 1
 
9.1%
e 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
8 1
20.0%
2 1
20.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
69.1%
Latin 49
 
15.6%
Common 48
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 24
 
11.1%
배 24
 
11.1%
자 23
 
10.6%
전 23
 
10.6%
이 6
 
2.8%
프 6
 
2.8%
니 6
 
2.8%
라 6
 
2.8%
샤 5
 
2.3%
마 5
 
2.3%
Other values (53) 89
41.0%
Latin
ValueCountFrequency (%)
O 8
16.3%
F 6
12.2%
T 4
 
8.2%
R 4
 
8.2%
A 3
 
6.1%
K 3
 
6.1%
I 3
 
6.1%
G 3
 
6.1%
s 3
 
6.1%
S 2
 
4.1%
Other values (9) 10
20.4%
Common
ValueCountFrequency (%)
24
50.0%
, 17
35.4%
1 2
 
4.2%
3 1
 
2.1%
8 1
 
2.1%
) 1
 
2.1%
2 1
 
2.1%
( 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
69.1%
ASCII 97
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
24.7%
, 17
17.5%
O 8
 
8.2%
F 6
 
6.2%
T 4
 
4.1%
R 4
 
4.1%
A 3
 
3.1%
K 3
 
3.1%
I 3
 
3.1%
G 3
 
3.1%
Other values (17) 22
22.7%
Hangul
ValueCountFrequency (%)
담 24
 
11.1%
배 24
 
11.1%
자 23
 
10.6%
전 23
 
10.6%
이 6
 
2.8%
프 6
 
2.8%
니 6
 
2.8%
라 6
 
2.8%
샤 5
 
2.3%
마 5
 
2.3%
Other values (53) 89
41.0%

담배공급업체명
Text

MISSING 

Distinct33
Distinct (%)89.2%
Missing2
Missing (%)5.1%
Memory size444.0 B
2024-05-11T14:39:10.196553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length15
Mean length11.108108
Min length3

Characters and Unicode

Total characters411
Distinct characters145
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

Unique30 ?
Unique (%)81.1%

Sample

1st row(주)구강물산
2nd row아남인터내셔널
3rd row(주)그린트롤
4th row(주)그린트롤
5th row(주)그린트롤
ValueCountFrequency (%)
주)그린트롤 3
 
4.9%
korea 2
 
3.3%
라미야 2
 
3.3%
group 2
 
3.3%
limited 2
 
3.3%
bat 2
 
3.3%
서울지사 2
 
3.3%
테크랜드22 2
 
3.3%
sound 1
 
1.6%
shenzhen 1
 
1.6%
Other values (42) 42
68.9%
2024-05-11T14:39:10.775202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
6.8%
주 19
 
4.6%
( 15
 
3.6%
) 15
 
3.6%
코 9
 
2.2%
사 8
 
1.9%
E 8
 
1.9%
T 8
 
1.9%
, 7
 
1.7%
n 7
 
1.7%
Other values (135) 287
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
52.8%
Uppercase Letter 78
 
19.0%
Lowercase Letter 43
 
10.5%
Space Separator 28
 
6.8%
Open Punctuation 15
 
3.6%
Close Punctuation 15
 
3.6%
Other Punctuation 9
 
2.2%
Decimal Number 5
 
1.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
8.8%
코 9
 
4.1%
사 8
 
3.7%
이 7
 
3.2%
바 6
 
2.8%
아 5
 
2.3%
리 4
 
1.8%
트 4
 
1.8%
린 4
 
1.8%
지 4
 
1.8%
Other values (92) 147
67.7%
Uppercase Letter
ValueCountFrequency (%)
E 8
 
10.3%
T 8
 
10.3%
O 7
 
9.0%
A 6
 
7.7%
H 5
 
6.4%
M 5
 
6.4%
I 5
 
6.4%
C 5
 
6.4%
S 4
 
5.1%
R 4
 
5.1%
Other values (10) 21
26.9%
Lowercase Letter
ValueCountFrequency (%)
n 7
16.3%
e 5
11.6%
i 4
9.3%
s 3
7.0%
o 3
7.0%
r 3
7.0%
a 3
7.0%
t 3
7.0%
g 3
7.0%
u 2
 
4.7%
Other values (6) 7
16.3%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
. 2
 
22.2%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Decimal Number
ValueCountFrequency (%)
2 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
52.8%
Latin 121
29.4%
Common 73
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
8.8%
코 9
 
4.1%
사 8
 
3.7%
이 7
 
3.2%
바 6
 
2.8%
아 5
 
2.3%
리 4
 
1.8%
트 4
 
1.8%
린 4
 
1.8%
지 4
 
1.8%
Other values (92) 147
67.7%
Latin
ValueCountFrequency (%)
E 8
 
6.6%
T 8
 
6.6%
n 7
 
5.8%
O 7
 
5.8%
A 6
 
5.0%
H 5
 
4.1%
M 5
 
4.1%
I 5
 
4.1%
C 5
 
4.1%
e 5
 
4.1%
Other values (26) 60
49.6%
Common
ValueCountFrequency (%)
28
38.4%
( 15
20.5%
) 15
20.5%
, 7
 
9.6%
2 5
 
6.8%
. 2
 
2.7%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
52.8%
ASCII 194
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
 
14.4%
( 15
 
7.7%
) 15
 
7.7%
E 8
 
4.1%
T 8
 
4.1%
, 7
 
3.6%
n 7
 
3.6%
O 7
 
3.6%
A 6
 
3.1%
H 5
 
2.6%
Other values (33) 88
45.4%
Hangul
ValueCountFrequency (%)
주 19
 
8.8%
코 9
 
4.1%
사 8
 
3.7%
이 7
 
3.2%
바 6
 
2.8%
아 5
 
2.3%
리 4
 
1.8%
트 4
 
1.8%
린 4
 
1.8%
지 4
 
1.8%
Other values (92) 147
67.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
03040000200130400731250000120010719200601234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>02 463 0278<NA><NA>서울특별시 광진구 노유동 74번지 14호 한강프라자 303<NA><NA>노바글로벌-주2006-01-31 10:45:40I2018-08-31 23:59:59.0<NA>205828.733665447787.808415이프(주)구강물산
13040000200130400731250000220011128200601234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>02 463 3815<NA><NA>서울특별시 광진구 노유동 74번지 14호 한강프라자 303<NA><NA>보원상사2006-01-31 10:46:38I2018-08-31 23:59:59.0<NA>205828.733665447787.808415Assos Slim Style아남인터내셔널
23040000200230400731250000220020427<NA>3폐업3폐업처리20021019<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 43번지 20호<NA><NA>무2005-12-22 11:06:52I2018-08-31 23:59:59.0<NA><NA><NA>FOR(주)그린트롤
33040000200230400731250000320020524200601234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 43번지 20호<NA><NA>터사랑2006-01-31 10:47:06I2018-08-31 23:59:59.0<NA><NA><NA>FOR(주)그린트롤
43040000200230400731250000420020524200601234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 43번지 20호<NA><NA>초록마을2006-01-31 10:47:32I2018-08-31 23:59:59.0<NA><NA><NA>FOR(주)그린트롤
53040000200230400731250000520020704200601234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 68번지 31호<NA><NA>리더스통상2006-01-31 10:47:57I2018-08-31 23:59:59.0<NA><NA><NA>FIGO슈퍼, FIGO울트라(주)다민바이오텍
63040000200230400731250000620020726200601234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA>02 452 0280<NA><NA>서울특별시 광진구 구의동 599번지 8호 대영빌딩 201<NA><NA>(주)인터라인로터리2006-01-31 10:48:49I2018-08-31 23:59:59.0<NA><NA><NA>오마샤리프마일드,오마샤리프라이트박스,오마샤리프수퍼슬림,오마샤리프스페셜(주)드림TMS
73040000200230400731250000720020104<NA>3폐업3폐업처리20020523<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 679번지 1호<NA><NA>나나유통2005-12-22 11:05:03I2018-08-31 23:59:59.0<NA><NA><NA>소브라니클래식화이트,소브라니클래식(주)엔티씨타바코
83040000200330400731250000120030331200601234취소/말소/만료/정지/중지4직권취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 119번지 2호 2층<NA><NA>강북디엠2006-01-31 10:49:53I2018-08-31 23:59:59.0<NA><NA><NA>디엠(주)디엠인터내셔날
93040000200330400731250000220030402<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-455-9883<NA>143875서울특별시 광진구 자양2동 681번지 4호서울특별시 광진구 뚝섬로 692 (자양동)143875(주)월드아이엔티엘2013-12-26 15:35:37I2018-08-31 23:59:59.0<NA>207547.949511447828.797429GT, IF블루판매주식회사, (주)영신아이엔티엘
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
293040000201530401681550000320150323<NA>3폐업3폐업처리20160328<NA><NA><NA>02-764-3377<NA><NA><NA>서울특별시 광진구 능동로37길 29, 2층 (중곡동, 찬스빌딩)143912(주)나노밸류2016-03-28 17:56:45I2018-08-31 23:59:59.0<NA>206841.694004450684.211872연초담배징코타바코
303040000201530401681550000420150420<NA>3폐업3폐업처리20160714<NA><NA><NA>02-3424-4090<NA><NA><NA>서울특별시 광진구 광나루로56길 85, 4층 C-95호 (구의동, 테크노마트21)143721(주)세븐코리아2016-07-15 11:05:03I2018-08-31 23:59:59.0<NA>208394.416382448165.28전자담배(세븐리퀴드, 샤크1,2, 알파)그린사운드, 세븐코리아
313040000201530401681550000520150521<NA>3폐업3폐업처리20180402<NA><NA><NA>02-000-0000<NA><NA><NA>서울특별시 광진구 아차산로 220, 5층 506호 (자양동)143841더프로그2018-04-02 15:46:22I2018-08-31 23:59:59.0<NA>205906.772158448710.967951전자담배v2cigs
323040000201630401681550000120160328<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-7555-7008<NA><NA>서울특별시 광진구 구의동 546번지 4호 테크노-마트21서울특별시 광진구 광나루로56길 85, 테크노-마트21 판매동 26층 7호 (구의동)5116마블루주식회사2018-09-21 17:24:40U2018-09-21 23:59:59.0<NA>208394.416382448165.28전자담배green sound
333040000201630401901550000120160729<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광나루로56길 85, 4층 C-109호 (구의동, 테크노마트)5116글로리데이2016-07-29 15:25:55I2018-08-31 23:59:59.0<NA>208394.416382448165.28전자담배, 향료, 니코틴MIST
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