Overview

Dataset statistics

Number of variables27
Number of observations26
Missing cells206
Missing cells (%)29.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory236.1 B

Variable types

Categorical7
Numeric5
DateTime3
Unsupported6
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-19890/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (55.4%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 11 (42.3%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 17 (65.4%) missing valuesMissing
지번주소 has 9 (34.6%) missing valuesMissing
도로명우편번호 has 7 (26.9%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
취급제품명 has 3 (11.5%) missing valuesMissing
담배공급업체명 has 3 (11.5%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 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 started2024-04-29 20:02:46.099860
Analysis finished2024-04-29 20:02:46.825016
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3130000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 26
100.0%

Length

2024-04-30T05:02:46.886953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:46.960460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 26
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0149669 × 1018
Minimum2.007313 × 1018
Maximum2.024313 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T05:02:47.031800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007313 × 1018
5-th percentile2.007813 × 1018
Q12.011313 × 1018
median2.015313 × 1018
Q32.018813 × 1018
95-th percentile2.022063 × 1018
Maximum2.024313 × 1018
Range1.7000014 × 1016
Interquartile range (IQR)7.5000083 × 1015

Descriptive statistics

Standard deviation4.7239206 × 1015
Coefficient of variation (CV)0.002344416
Kurtosis-0.84663754
Mean2.0149669 × 1018
Median Absolute Deviation (MAD)4.0000062 × 1015
Skewness0.14610285
Sum-2.9510938 × 1018
Variance2.2315426 × 1031
MonotonicityStrictly increasing
2024-04-30T05:02:47.149028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2007313011815100001 1
 
3.8%
2015313018015500003 1
 
3.8%
2024313025515500001 1
 
3.8%
2022313022515500001 1
 
3.8%
2021313022515500001 1
 
3.8%
2020313022515500002 1
 
3.8%
2020313022515500001 1
 
3.8%
2019313020115500002 1
 
3.8%
2019313020115500001 1
 
3.8%
2017313020115500002 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
2007313011815100001 1
3.8%
2007313011815600002 1
3.8%
2009313011815500001 1
3.8%
2009313011815500002 1
3.8%
2010313011815500001 1
3.8%
2010313011815500002 1
3.8%
2011313011815500001 1
3.8%
2011313011815500002 1
3.8%
2011313011815500003 1
3.8%
2013313011815500001 1
3.8%
ValueCountFrequency (%)
2024313025515500001 1
3.8%
2022313022515500001 1
3.8%
2021313022515500001 1
3.8%
2020313022515500002 1
3.8%
2020313022515500001 1
3.8%
2019313020115500002 1
3.8%
2019313020115500001 1
3.8%
2017313020115500002 1
3.8%
2017313020115500001 1
3.8%
2016313018015500001 1
3.8%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2007-06-29 00:00:00
Maximum2024-03-15 00:00:00
2024-04-30T05:02:47.247041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:02:47.352864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
21 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
80.8%
3 5
 
19.2%

Length

2024-04-30T05:02:47.440512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:47.514241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
80.8%
3 5
 
19.2%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
21 
폐업
5 

Length

Max length5
Median length5
Mean length4.4230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
80.8%
폐업 5
 
19.2%

Length

2024-04-30T05:02:47.600248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:47.685220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
80.8%
폐업 5
 
19.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
21 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
80.8%
3 5
 
19.2%

Length

2024-04-30T05:02:47.769279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:47.850878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
80.8%
3 5
 
19.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
정상영업
21 
폐업처리
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 21
80.8%
폐업처리 5
 
19.2%

Length

2024-04-30T05:02:47.936234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:48.025763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 21
80.8%
폐업처리 5
 
19.2%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
20120402
 
1
20140109
 
1
20191230
 
1
20160531
 
1

Length

Max length8
Median length4
Mean length4.7692308
Min length4

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st row<NA>
2nd row<NA>
3rd row20120402
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
20120402 1
 
3.8%
20140109 1
 
3.8%
20191230 1
 
3.8%
20160531 1
 
3.8%
20170203 1
 
3.8%

Length

2024-04-30T05:02:48.126197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:48.236180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
20120402 1
 
3.8%
20140109 1
 
3.8%
20191230 1
 
3.8%
20160531 1
 
3.8%
20170203 1
 
3.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing11
Missing (%)42.3%
Memory size340.0 B
2024-04-30T05:02:48.383609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.733333
Min length8

Characters and Unicode

Total characters161
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

Unique15 ?
Unique (%)100.0%

Sample

1st row1577-5560
2nd row338-9666
3rd row6357-0312
4th row6053-5806
5th row338-1567
ValueCountFrequency (%)
1577-5560 1
 
6.7%
338-9666 1
 
6.7%
6357-0312 1
 
6.7%
6053-5806 1
 
6.7%
338-1567 1
 
6.7%
070-4206-7996 1
 
6.7%
3272-8227 1
 
6.7%
02-389-0111 1
 
6.7%
02-363-6328 1
 
6.7%
02-714-2557~8 1
 
6.7%
Other values (5) 5
33.3%
2024-04-30T05:02:48.660258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
14.9%
- 23
14.3%
7 20
12.4%
3 18
11.2%
6 14
8.7%
2 14
8.7%
5 12
7.5%
1 10
6.2%
8 10
6.2%
9 9
 
5.6%
Other values (2) 7
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 137
85.1%
Dash Punctuation 23
 
14.3%
Math Symbol 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
17.5%
7 20
14.6%
3 18
13.1%
6 14
10.2%
2 14
10.2%
5 12
8.8%
1 10
7.3%
8 10
7.3%
9 9
 
6.6%
4 6
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 161
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
14.9%
- 23
14.3%
7 20
12.4%
3 18
11.2%
6 14
8.7%
2 14
8.7%
5 12
7.5%
1 10
6.2%
8 10
6.2%
9 9
 
5.6%
Other values (2) 7
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
14.9%
- 23
14.3%
7 20
12.4%
3 18
11.2%
6 14
8.7%
2 14
8.7%
5 12
7.5%
1 10
6.2%
8 10
6.2%
9 9
 
5.6%
Other values (2) 7
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing17
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean121439.67
Minimum121030
Maximum121916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T05:02:48.759916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121030
5-th percentile121038
Q1121200
median121200
Q3121795
95-th percentile121881.2
Maximum121916
Range886
Interquartile range (IQR)595

Descriptive statistics

Standard deviation368.29506
Coefficient of variation (CV)0.003032741
Kurtosis-2.2517415
Mean121439.67
Median Absolute Deviation (MAD)170
Skewness0.22205866
Sum1092957
Variance135641.25
MonotonicityNot monotonic
2024-04-30T05:02:48.848017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
121200 3
 
11.5%
121050 1
 
3.8%
121737 1
 
3.8%
121916 1
 
3.8%
121030 1
 
3.8%
121795 1
 
3.8%
121829 1
 
3.8%
(Missing) 17
65.4%
ValueCountFrequency (%)
121030 1
 
3.8%
121050 1
 
3.8%
121200 3
11.5%
121737 1
 
3.8%
121795 1
 
3.8%
121829 1
 
3.8%
121916 1
 
3.8%
ValueCountFrequency (%)
121916 1
 
3.8%
121829 1
 
3.8%
121795 1
 
3.8%
121737 1
 
3.8%
121200 3
11.5%
121050 1
 
3.8%
121030 1
 
3.8%

지번주소
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing9
Missing (%)34.6%
Memory size340.0 B
2024-04-30T05:02:49.026829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length29
Min length19

Characters and Unicode

Total characters493
Distinct characters88
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

Unique17 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 마포동 292번지 65호 (1층)
2nd row서울특별시 마포구 마포동 35번지 1호 현대빌딩 706
3rd row서울특별시 마포구 동교동 161번지 5호 삼희빌딩 1층 103
4th row서울특별시 마포구 동교동 165번지 8호 엘지팰리스빌딩 14층 1626호
5th row서울특별시 마포구 공덕동 467번지 롯데캐슬프레지던트 지하1층 115호
ValueCountFrequency (%)
서울특별시 17
 
16.7%
마포구 17
 
16.7%
동교동 5
 
4.9%
1층 4
 
3.9%
1호 3
 
2.9%
마포동 2
 
2.0%
상수동 2
 
2.0%
신공덕동 2
 
2.0%
65호 1
 
1.0%
합정동 1
 
1.0%
Other values (48) 48
47.1%
2024-04-30T05:02:49.400763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
17.2%
1 27
 
5.5%
동 22
 
4.5%
포 19
 
3.9%
마 19
 
3.9%
서 18
 
3.7%
울 17
 
3.4%
구 17
 
3.4%
시 17
 
3.4%
별 17
 
3.4%
Other values (78) 235
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
62.1%
Decimal Number 91
 
18.5%
Space Separator 85
 
17.2%
Dash Punctuation 6
 
1.2%
Uppercase Letter 3
 
0.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
7.2%
포 19
 
6.2%
마 19
 
6.2%
서 18
 
5.9%
울 17
 
5.6%
구 17
 
5.6%
시 17
 
5.6%
별 17
 
5.6%
특 17
 
5.6%
지 15
 
4.9%
Other values (62) 128
41.8%
Decimal Number
ValueCountFrequency (%)
1 27
29.7%
6 15
16.5%
2 11
12.1%
3 8
 
8.8%
4 7
 
7.7%
5 7
 
7.7%
7 5
 
5.5%
0 5
 
5.5%
8 4
 
4.4%
9 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
62.1%
Common 184
37.3%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
7.2%
포 19
 
6.2%
마 19
 
6.2%
서 18
 
5.9%
울 17
 
5.6%
구 17
 
5.6%
시 17
 
5.6%
별 17
 
5.6%
특 17
 
5.6%
지 15
 
4.9%
Other values (62) 128
41.8%
Common
ValueCountFrequency (%)
85
46.2%
1 27
 
14.7%
6 15
 
8.2%
2 11
 
6.0%
3 8
 
4.3%
4 7
 
3.8%
5 7
 
3.8%
- 6
 
3.3%
7 5
 
2.7%
0 5
 
2.7%
Other values (4) 8
 
4.3%
Latin
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
62.1%
ASCII 187
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
45.5%
1 27
 
14.4%
6 15
 
8.0%
2 11
 
5.9%
3 8
 
4.3%
4 7
 
3.7%
5 7
 
3.7%
- 6
 
3.2%
7 5
 
2.7%
0 5
 
2.7%
Other values (6) 11
 
5.9%
Hangul
ValueCountFrequency (%)
동 22
 
7.2%
포 19
 
6.2%
마 19
 
6.2%
서 18
 
5.9%
울 17
 
5.6%
구 17
 
5.6%
시 17
 
5.6%
별 17
 
5.6%
특 17
 
5.6%
지 15
 
4.9%
Other values (62) 128
41.8%

도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-30T05:02:49.748955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length34.5
Min length25

Characters and Unicode

Total characters897
Distinct characters109
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

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 마포대로4라길 30-5 (마포동,(1층))
2nd row서울특별시 마포구 마포대로 15 (마포동,현대빌딩 706)
3rd row서울특별시 마포구 월드컵북로2길 11 (동교동,삼희빌딩 1층 103)
4th row서울특별시 마포구 양화로 156 (동교동,엘지팰리스빌딩 14층 1626호)
5th row서울특별시 마포구 마포대로 109 (공덕동,롯데캐슬프레지던트 지하1층 115호)
ValueCountFrequency (%)
서울특별시 26
 
15.2%
마포구 26
 
15.2%
서교동 5
 
2.9%
마포대로 4
 
2.3%
1층 4
 
2.3%
4층 3
 
1.8%
백범로 3
 
1.8%
양화로 3
 
1.8%
월드컵북로 2
 
1.2%
어울마당로 2
 
1.2%
Other values (85) 93
54.4%
2024-04-30T05:02:50.103835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
16.2%
1 43
 
4.8%
마 36
 
4.0%
동 34
 
3.8%
포 34
 
3.8%
서 31
 
3.5%
, 29
 
3.2%
울 28
 
3.1%
로 27
 
3.0%
( 27
 
3.0%
Other values (99) 463
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 521
58.1%
Space Separator 145
 
16.2%
Decimal Number 136
 
15.2%
Other Punctuation 29
 
3.2%
Open Punctuation 27
 
3.0%
Close Punctuation 27
 
3.0%
Dash Punctuation 8
 
0.9%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 36
 
6.9%
동 34
 
6.5%
포 34
 
6.5%
서 31
 
6.0%
울 28
 
5.4%
로 27
 
5.2%
시 26
 
5.0%
별 26
 
5.0%
구 26
 
5.0%
특 26
 
5.0%
Other values (81) 227
43.6%
Decimal Number
ValueCountFrequency (%)
1 43
31.6%
2 15
 
11.0%
3 13
 
9.6%
6 12
 
8.8%
8 10
 
7.4%
5 10
 
7.4%
0 10
 
7.4%
4 10
 
7.4%
9 7
 
5.1%
7 6
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
K 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 521
58.1%
Common 372
41.5%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 36
 
6.9%
동 34
 
6.5%
포 34
 
6.5%
서 31
 
6.0%
울 28
 
5.4%
로 27
 
5.2%
시 26
 
5.0%
별 26
 
5.0%
구 26
 
5.0%
특 26
 
5.0%
Other values (81) 227
43.6%
Common
ValueCountFrequency (%)
145
39.0%
1 43
 
11.6%
, 29
 
7.8%
( 27
 
7.3%
) 27
 
7.3%
2 15
 
4.0%
3 13
 
3.5%
6 12
 
3.2%
8 10
 
2.7%
5 10
 
2.7%
Other values (5) 41
 
11.0%
Latin
ValueCountFrequency (%)
C 2
50.0%
K 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 521
58.1%
ASCII 376
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
38.6%
1 43
 
11.4%
, 29
 
7.7%
( 27
 
7.2%
) 27
 
7.2%
2 15
 
4.0%
3 13
 
3.5%
6 12
 
3.2%
8 10
 
2.7%
5 10
 
2.7%
Other values (8) 45
 
12.0%
Hangul
ValueCountFrequency (%)
마 36
 
6.9%
동 34
 
6.5%
포 34
 
6.5%
서 31
 
6.0%
울 28
 
5.4%
로 27
 
5.2%
시 26
 
5.0%
별 26
 
5.0%
구 26
 
5.0%
특 26
 
5.0%
Other values (81) 227
43.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing7
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean53650.632
Minimum3986
Maximum121896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T05:02:50.226426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3986
5-th percentile3991.4
Q14042
median4175
Q3121819
95-th percentile121858.2
Maximum121896
Range117910
Interquartile range (IQR)117777

Descriptive statistics

Standard deviation59737.629
Coefficient of variation (CV)1.1134562
Kurtosis-2.1146353
Mean53650.632
Median Absolute Deviation (MAD)183
Skewness0.34788901
Sum1019362
Variance3.5685843 × 109
MonotonicityNot monotonic
2024-04-30T05:02:50.330142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3992 2
 
7.7%
4175 1
 
3.8%
3986 1
 
3.8%
4067 1
 
3.8%
3997 1
 
3.8%
4157 1
 
3.8%
4070 1
 
3.8%
4195 1
 
3.8%
121795 1
 
3.8%
121829 1
 
3.8%
Other values (8) 8
30.8%
(Missing) 7
26.9%
ValueCountFrequency (%)
3986 1
3.8%
3992 2
7.7%
3997 1
3.8%
4031 1
3.8%
4053 1
3.8%
4067 1
3.8%
4070 1
3.8%
4157 1
3.8%
4175 1
3.8%
4195 1
3.8%
ValueCountFrequency (%)
121896 1
3.8%
121854 1
3.8%
121839 1
3.8%
121835 1
3.8%
121829 1
3.8%
121809 1
3.8%
121795 1
3.8%
121790 1
3.8%
4195 1
3.8%
4175 1
3.8%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-30T05:02:50.480277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length9.8076923
Min length2

Characters and Unicode

Total characters255
Distinct characters102
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

Unique26 ?
Unique (%)100.0%

Sample

1st row주몽담배(주)마포대리점
2nd row영선시스템
3rd row클린전자
4th row(주)엠케이트라움
5th row(주)한국전자담배 마포대리점
ValueCountFrequency (%)
주식회사 9
 
20.5%
한국전자담배 2
 
4.5%
헥세 1
 
2.3%
다래코 1
 
2.3%
유한회사 1
 
2.3%
스모크테크코리아 1
 
2.3%
엔티씨코리아 1
 
2.3%
도담소담 1
 
2.3%
쓰리탑스 1
 
2.3%
주몽담배(주)마포대리점 1
 
2.3%
Other values (25) 25
56.8%
2024-04-30T05:02:50.750511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
7.1%
주 14
 
5.5%
사 11
 
4.3%
회 10
 
3.9%
스 9
 
3.5%
이 9
 
3.5%
식 9
 
3.5%
담 7
 
2.7%
리 7
 
2.7%
( 6
 
2.4%
Other values (92) 155
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
80.0%
Space Separator 18
 
7.1%
Uppercase Letter 18
 
7.1%
Open Punctuation 6
 
2.4%
Close Punctuation 6
 
2.4%
Other Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
6.9%
사 11
 
5.4%
회 10
 
4.9%
스 9
 
4.4%
이 9
 
4.4%
식 9
 
4.4%
담 7
 
3.4%
리 7
 
3.4%
배 5
 
2.5%
전 5
 
2.5%
Other values (74) 118
57.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
11.1%
T 2
11.1%
O 2
11.1%
N 2
11.1%
Y 2
11.1%
D 1
 
5.6%
L 1
 
5.6%
S 1
 
5.6%
G 1
 
5.6%
R 1
 
5.6%
Other values (3) 3
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
80.0%
Common 33
 
12.9%
Latin 18
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
6.9%
사 11
 
5.4%
회 10
 
4.9%
스 9
 
4.4%
이 9
 
4.4%
식 9
 
4.4%
담 7
 
3.4%
리 7
 
3.4%
배 5
 
2.5%
전 5
 
2.5%
Other values (74) 118
57.8%
Latin
ValueCountFrequency (%)
C 2
11.1%
T 2
11.1%
O 2
11.1%
N 2
11.1%
Y 2
11.1%
D 1
 
5.6%
L 1
 
5.6%
S 1
 
5.6%
G 1
 
5.6%
R 1
 
5.6%
Other values (3) 3
16.7%
Common
ValueCountFrequency (%)
18
54.5%
( 6
 
18.2%
) 6
 
18.2%
. 2
 
6.1%
, 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
80.0%
ASCII 51
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
35.3%
( 6
 
11.8%
) 6
 
11.8%
C 2
 
3.9%
T 2
 
3.9%
. 2
 
3.9%
O 2
 
3.9%
N 2
 
3.9%
Y 2
 
3.9%
D 1
 
2.0%
Other values (8) 8
15.7%
Hangul
ValueCountFrequency (%)
주 14
 
6.9%
사 11
 
5.4%
회 10
 
4.9%
스 9
 
4.4%
이 9
 
4.4%
식 9
 
4.4%
담 7
 
3.4%
리 7
 
3.4%
배 5
 
2.5%
전 5
 
2.5%
Other values (74) 118
57.8%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2007-09-06 15:00:37
Maximum2024-03-15 17:51:31
2024-04-30T05:02:50.873962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:02:50.968642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
I
22 
U
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 22
84.6%
U 4
 
15.4%

Length

2024-04-30T05:02:51.058693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:51.131588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
84.6%
u 4
 
15.4%

데이터갱신일자
Date

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-04-30T05:02:51.200831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:02:51.286072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193535.61
Minimum189934.88
Maximum195998.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T05:02:51.417197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189934.88
5-th percentile190683.89
Q1192651.98
median193131.38
Q3195009.14
95-th percentile195764.94
Maximum195998.16
Range6063.2772
Interquartile range (IQR)2357.1599

Descriptive statistics

Standard deviation1623.918
Coefficient of variation (CV)0.0083907968
Kurtosis-0.24985565
Mean193535.61
Median Absolute Deviation (MAD)990.86646
Skewness-0.28319359
Sum5031926
Variance2637109.7
MonotonicityNot monotonic
2024-04-30T05:02:51.545795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
195764.944565229 2
 
7.7%
195172.171374584 1
 
3.8%
189934.883423 1
 
3.8%
192631.156036444 1
 
3.8%
192861.197503699 1
 
3.8%
192850.519912148 1
 
3.8%
193151.415804469 1
 
3.8%
192217.453862302 1
 
3.8%
195324.793653981 1
 
3.8%
192647.440012737 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
189934.883423 1
3.8%
190250.875091908 1
3.8%
191982.952899048 1
3.8%
192217.453862302 1
3.8%
192510.219478049 1
3.8%
192631.156036444 1
3.8%
192647.440012737 1
3.8%
192665.589817447 1
3.8%
192850.519912148 1
3.8%
192861.197503699 1
3.8%
ValueCountFrequency (%)
195998.160644377 1
3.8%
195764.944565229 2
7.7%
195564.375757848 1
3.8%
195324.793653981 1
3.8%
195172.171374584 1
3.8%
195019.399817378 1
3.8%
194978.350112608 1
3.8%
194880.1025404 1
3.8%
194199.186777501 1
3.8%
193350.879617288 1
3.8%

좌표정보(Y)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449994.43
Minimum448306.17
Maximum453569.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T05:02:51.646306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448306.17
5-th percentile448427.66
Q1449200.39
median449842.21
Q3450455.92
95-th percentile452499.82
Maximum453569.3
Range5263.1264
Interquartile range (IQR)1255.5275

Descriptive statistics

Standard deviation1226.5768
Coefficient of variation (CV)0.0027257599
Kurtosis2.7173851
Mean449994.43
Median Absolute Deviation (MAD)638.92891
Skewness1.3705341
Sum11699855
Variance1504490.6
MonotonicityNot monotonic
2024-04-30T05:02:51.747027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
449028.002731859 2
 
7.7%
448306.174934976 1
 
3.8%
453569.301342 1
 
3.8%
450945.659539908 1
 
3.8%
450546.48579584 1
 
3.8%
450628.479372132 1
 
3.8%
449777.875346384 1
 
3.8%
450559.654595555 1
 
3.8%
448885.430093289 1
 
3.8%
449470.44322698 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
448306.174934976 1
3.8%
448407.752664604 1
3.8%
448487.374314355 1
3.8%
448885.430093289 1
3.8%
449028.002731859 2
7.7%
449186.933273231 1
3.8%
449240.775285589 1
3.8%
449470.44322698 1
3.8%
449486.23223693 1
3.8%
449491.811052184 1
3.8%
ValueCountFrequency (%)
453569.301342 1
3.8%
453017.867202928 1
3.8%
450945.659539908 1
3.8%
450628.479372132 1
3.8%
450559.654595555 1
3.8%
450546.48579584 1
3.8%
450464.791100352 1
3.8%
450429.311710876 1
3.8%
450425.852790862 1
3.8%
450401.806329292 1
3.8%

취급제품명
Text

MISSING 

Distinct17
Distinct (%)73.9%
Missing3
Missing (%)11.5%
Memory size340.0 B
2024-04-30T05:02:51.897873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length11.086957
Min length4

Characters and Unicode

Total characters255
Distinct characters91
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

Unique16 ?
Unique (%)69.6%

Sample

1st row니드주몽(라이트,수퍼라이트,플래티늄)
2nd row니드주몽 실크,니드주몽 블루, 니드주몽 핑크,니드주몽 트윈
3rd row전자담배(이토바)
4th row전자담배, 금연보조제
5th row전자담배
ValueCountFrequency (%)
전자담배 14
29.2%
액상 3
 
6.2%
및 2
 
4.2%
니드주몽 2
 
4.2%
각련 1
 
2.1%
rod 1
 
2.1%
atomizing 1
 
2.1%
k5 1
 
2.1%
니드주몽(라이트,수퍼라이트,플래티늄 1
 
2.1%
전자담배(도매)-헥세 1
 
2.1%
Other values (21) 21
43.8%
2024-04-30T05:02:52.177659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
9.8%
담 21
 
8.2%
배 21
 
8.2%
전 19
 
7.5%
자 19
 
7.5%
, 9
 
3.5%
니 6
 
2.4%
) 6
 
2.4%
( 6
 
2.4%
드 5
 
2.0%
Other values (81) 118
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
68.2%
Space Separator 25
 
9.8%
Uppercase Letter 21
 
8.2%
Other Punctuation 10
 
3.9%
Lowercase Letter 10
 
3.9%
Close Punctuation 6
 
2.4%
Open Punctuation 6
 
2.4%
Decimal Number 2
 
0.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 21
 
12.1%
배 21
 
12.1%
전 19
 
10.9%
자 19
 
10.9%
니 6
 
3.4%
드 5
 
2.9%
주 5
 
2.9%
몽 5
 
2.9%
액 4
 
2.3%
이 4
 
2.3%
Other values (50) 65
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
14.3%
I 2
 
9.5%
K 2
 
9.5%
L 2
 
9.5%
E 2
 
9.5%
S 1
 
4.8%
T 1
 
4.8%
C 1
 
4.8%
N 1
 
4.8%
A 1
 
4.8%
Other values (5) 5
23.8%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
i 2
20.0%
t 1
10.0%
m 1
10.0%
z 1
10.0%
n 1
10.0%
g 1
10.0%
d 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
& 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
68.2%
Common 50
 
19.6%
Latin 31
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 21
 
12.1%
배 21
 
12.1%
전 19
 
10.9%
자 19
 
10.9%
니 6
 
3.4%
드 5
 
2.9%
주 5
 
2.9%
몽 5
 
2.9%
액 4
 
2.3%
이 4
 
2.3%
Other values (50) 65
37.4%
Latin
ValueCountFrequency (%)
B 3
 
9.7%
I 2
 
6.5%
K 2
 
6.5%
o 2
 
6.5%
i 2
 
6.5%
L 2
 
6.5%
E 2
 
6.5%
S 1
 
3.2%
T 1
 
3.2%
C 1
 
3.2%
Other values (13) 13
41.9%
Common
ValueCountFrequency (%)
25
50.0%
, 9
 
18.0%
) 6
 
12.0%
( 6
 
12.0%
- 1
 
2.0%
5 1
 
2.0%
3 1
 
2.0%
& 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
68.2%
ASCII 81
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
30.9%
, 9
 
11.1%
) 6
 
7.4%
( 6
 
7.4%
B 3
 
3.7%
I 2
 
2.5%
K 2
 
2.5%
o 2
 
2.5%
i 2
 
2.5%
L 2
 
2.5%
Other values (21) 22
27.2%
Hangul
ValueCountFrequency (%)
담 21
 
12.1%
배 21
 
12.1%
전 19
 
10.9%
자 19
 
10.9%
니 6
 
3.4%
드 5
 
2.9%
주 5
 
2.9%
몽 5
 
2.9%
액 4
 
2.3%
이 4
 
2.3%
Other values (50) 65
37.4%

담배공급업체명
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing3
Missing (%)11.5%
Memory size340.0 B
2024-04-30T05:02:52.390819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length39
Mean length21.086957
Min length3

Characters and Unicode

Total characters485
Distinct characters113
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 (%)87.0%

Sample

1st row주몽담배(주)
2nd row(주)타박앤패밀리
3rd row이토바
4th row(주)한국전자담배
5th row(주)블루마린
ValueCountFrequency (%)
ltd 5
 
7.4%
shenzhen 5
 
7.4%
co 4
 
5.9%
주)한국전자담배 3
 
4.4%
technology 2
 
2.9%
biotechnology 2
 
2.9%
2
 
2.9%
eavisun 2
 
2.9%
hello 1
 
1.5%
joecig 1
 
1.5%
Other values (41) 41
60.3%
2024-04-30T05:02:52.724470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
10.1%
o 23
 
4.7%
n 18
 
3.7%
h 18
 
3.7%
e 17
 
3.5%
L 12
 
2.5%
C 12
 
2.5%
주 12
 
2.5%
t 11
 
2.3%
( 11
 
2.3%
Other values (103) 302
62.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 166
34.2%
Other Letter 122
25.2%
Uppercase Letter 104
21.4%
Space Separator 49
 
10.1%
Other Punctuation 20
 
4.1%
Open Punctuation 12
 
2.5%
Close Punctuation 12
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
9.8%
리 9
 
7.4%
이 6
 
4.9%
아 6
 
4.9%
담 5
 
4.1%
배 5
 
4.1%
코 5
 
4.1%
전 4
 
3.3%
사 4
 
3.3%
자 4
 
3.3%
Other values (50) 62
50.8%
Lowercase Letter
ValueCountFrequency (%)
o 23
13.9%
n 18
10.8%
h 18
10.8%
e 17
10.2%
t 11
 
6.6%
l 10
 
6.0%
i 10
 
6.0%
d 9
 
5.4%
g 8
 
4.8%
a 8
 
4.8%
Other values (12) 34
20.5%
Uppercase Letter
ValueCountFrequency (%)
L 12
11.5%
C 12
11.5%
S 8
 
7.7%
U 7
 
6.7%
E 7
 
6.7%
N 7
 
6.7%
T 6
 
5.8%
B 6
 
5.8%
O 5
 
4.8%
A 5
 
4.8%
Other values (12) 29
27.9%
Other Punctuation
ValueCountFrequency (%)
, 9
45.0%
. 8
40.0%
& 2
 
10.0%
: 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 11
91.7%
[ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 11
91.7%
] 1
 
8.3%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 270
55.7%
Hangul 122
25.2%
Common 93
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
9.8%
리 9
 
7.4%
이 6
 
4.9%
아 6
 
4.9%
담 5
 
4.1%
배 5
 
4.1%
코 5
 
4.1%
전 4
 
3.3%
사 4
 
3.3%
자 4
 
3.3%
Other values (50) 62
50.8%
Latin
ValueCountFrequency (%)
o 23
 
8.5%
n 18
 
6.7%
h 18
 
6.7%
e 17
 
6.3%
L 12
 
4.4%
C 12
 
4.4%
t 11
 
4.1%
l 10
 
3.7%
i 10
 
3.7%
d 9
 
3.3%
Other values (34) 130
48.1%
Common
ValueCountFrequency (%)
49
52.7%
( 11
 
11.8%
) 11
 
11.8%
, 9
 
9.7%
. 8
 
8.6%
& 2
 
2.2%
] 1
 
1.1%
[ 1
 
1.1%
: 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 363
74.8%
Hangul 122
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
 
13.5%
o 23
 
6.3%
n 18
 
5.0%
h 18
 
5.0%
e 17
 
4.7%
L 12
 
3.3%
C 12
 
3.3%
t 11
 
3.0%
( 11
 
3.0%
) 11
 
3.0%
Other values (43) 181
49.9%
Hangul
ValueCountFrequency (%)
주 12
 
9.8%
리 9
 
7.4%
이 6
 
4.9%
아 6
 
4.9%
담 5
 
4.1%
배 5
 
4.1%
코 5
 
4.1%
전 4
 
3.3%
사 4
 
3.3%
자 4
 
3.3%
Other values (50) 62
50.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
03130000200731301181510000120071113<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>121050서울특별시 마포구 마포동 292번지 65호 (1층)서울특별시 마포구 마포대로4라길 30-5 (마포동,(1층))<NA>주몽담배(주)마포대리점2007-11-13 11:16:30I2018-08-31 23:59:59.0<NA>195172.171375448306.174935니드주몽(라이트,수퍼라이트,플래티늄)주몽담배(주)
13130000200731301181560000220070629<NA>1영업/정상1정상영업<NA><NA><NA><NA>1577-5560<NA>121737서울특별시 마포구 마포동 35번지 1호 현대빌딩 706서울특별시 마포구 마포대로 15 (마포동,현대빌딩 706)<NA>영선시스템2007-09-06 15:00:37I2018-08-31 23:59:59.0<NA>194978.350113448487.374314니드주몽 실크,니드주몽 블루, 니드주몽 핑크,니드주몽 트윈(주)타박앤패밀리
23130000200931301181550000120090708<NA>3폐업3폐업처리20120402<NA><NA><NA>338-9666<NA>121200서울특별시 마포구 동교동 161번지 5호 삼희빌딩 1층 103서울특별시 마포구 월드컵북로2길 11 (동교동,삼희빌딩 1층 103)<NA>클린전자2014-12-29 17:36:15I2018-08-31 23:59:59.0<NA>192997.906816450429.311711전자담배(이토바)이토바
33130000200931301181550000220090731<NA>1영업/정상1정상영업<NA><NA><NA><NA>6357-0312<NA>121200서울특별시 마포구 동교동 165번지 8호 엘지팰리스빌딩 14층 1626호서울특별시 마포구 양화로 156 (동교동,엘지팰리스빌딩 14층 1626호)<NA>(주)엠케이트라움2023-01-11 09:26:06U2022-11-30 23:03:00.0<NA>193166.430145450425.852791<NA><NA>
43130000201031301181550000120101027<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA>121916서울특별시 마포구 공덕동 467번지 롯데캐슬프레지던트 지하1층 115호서울특별시 마포구 마포대로 109 (공덕동,롯데캐슬프레지던트 지하1층 115호)<NA>(주)한국전자담배 마포대리점2010-10-27 16:25:51I2018-08-31 23:59:59.0<NA>195564.375758449186.933273전자담배, 금연보조제(주)한국전자담배
53130000201031301181550000220101231<NA>1영업/정상1정상영업<NA><NA><NA><NA>6053-5806<NA>121030서울특별시 마포구 신공덕동 12번지 1호 근영빌딩 1층서울특별시 마포구 만리재로 43 (신공덕동,근영빌딩 1층)<NA>전자담배 노바코2010-12-31 16:41:08I2018-08-31 23:59:59.0<NA>195998.160644449240.775286전자담배(주)블루마린
63130000201131301181550000120110315<NA>3폐업3폐업처리20140109<NA><NA><NA>338-1567<NA>121200서울특별시 마포구 동교동 163번지 6호 지층서울특별시 마포구 어울마당로 111-1 (동교동,지층)<NA>스피드메모리2014-01-09 20:34:35I2018-08-31 23:59:59.0<NA>193111.35015450296.728751전자담배전자담배코리아 데캉 마포점
73130000201131301181550000220110628<NA>1영업/정상1정상영업<NA><NA><NA><NA>070-4206-7996<NA>121795서울특별시 마포구 상암동 1605번지 누리꿈스퀘어 1층 제알 114호서울특별시 마포구 월드컵북로 396 (상암동)121795한국전자담배 상암지점2011-10-30 14:57:13I2018-08-31 23:59:59.0<NA>190250.875092453017.867203전자담배(주)한국전자담배
83130000201131301181550000320111121<NA>1영업/정상1정상영업<NA><NA><NA><NA>3272-8227<NA>121829서울특별시 마포구 상수동 321번지 1호 상수빌딩 4층서울특별시 마포구 독막로 68, 4층 (상수동, 상수빌딩)121829주식회사 위드미에프에스2011-11-21 16:16:57I2018-08-31 23:59:59.0<NA>192929.284987449486.232237전자담배일체주식회사킴리코리아
93130000201331301181550000120130916<NA>3폐업3폐업처리20191230<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 백범로 199, 비118호 (신공덕동)121790오딘2019-12-30 17:47:29U2020-01-01 02:40:00.0<NA>195764.944565449028.002732전자담배 및 관련제품 (퀵닉쥬스)헤일로 서울지사
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
163130000201631301801550000120160620<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 어울마당로 136-11, A동 201호 (서교동)4053유한회사 스모크테크코리아2016-06-20 17:13:44I2018-08-31 23:59:59.0<NA>193350.879617450401.806329전자담배기기 및 니코틴 함유 액상Shenzhen Eavisun Biotechnology Co., Ltd
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183130000201731302011550000220171016<NA>1영업/정상1정상영업<NA><NA><NA><NA>1833-9592<NA><NA>서울특별시 마포구 신공덕동 167번지 메트로디오빌빌딩서울특별시 마포구 백범로 199, 메트로디오빌빌딩 지하1층 비118호 (신공덕동)4195주식회사 도담소담2019-07-16 17:51:01U2019-07-18 02:40:00.0<NA>195764.944565449028.002732전자담배 액상(주)멜센스
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