Overview

Dataset statistics

Number of variables27
Number of observations39
Missing cells394
Missing cells (%)37.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory232.4 B

Variable types

Categorical7
Numeric4
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19878/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (57.5%)Imbalance
인허가취소일자 has 39 (100.0%) missing valuesMissing
폐업일자 has 30 (76.9%) 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 20 (51.3%) missing valuesMissing
소재지면적 has 39 (100.0%) missing valuesMissing
소재지우편번호 has 27 (69.2%) missing valuesMissing
지번주소 has 4 (10.3%) missing valuesMissing
도로명주소 has 16 (41.0%) missing valuesMissing
도로명우편번호 has 23 (59.0%) missing valuesMissing
업태구분명 has 39 (100.0%) missing valuesMissing
좌표정보(X) has 14 (35.9%) missing valuesMissing
좌표정보(Y) has 14 (35.9%) missing valuesMissing
취급제품명 has 6 (15.4%) missing valuesMissing
담배공급업체명 has 6 (15.4%) 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 started2024-04-06 12:52:34.130359
Analysis finished2024-04-06 12:52:35.051877
Duration0.92 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
3010000
39 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 39
100.0%

Length

2024-04-06T21:52:35.167184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:35.348653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 39
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0104549 × 1018
Minimum2.005301 × 1018
Maximum2.023301 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:52:35.668664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.005301 × 1018
5-th percentile2.005301 × 1018
Q12.005301 × 1018
median2.009301 × 1018
Q32.013801 × 1018
95-th percentile2.022301 × 1018
Maximum2.023301 × 1018
Range1.8000013 × 1016
Interquartile range (IQR)8.5000059 × 1015

Descriptive statistics

Standard deviation5.52763 × 1015
Coefficient of variation (CV)0.0027494425
Kurtosis-0.053603075
Mean2.0104549 × 1018
Median Absolute Deviation (MAD)4.0000029 × 1015
Skewness0.91215203
Sum4.6207631 × 1018
Variance3.0554693 × 1031
MonotonicityStrictly increasing
2024-04-06T21:52:36.000635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2005301007112500001 1
 
2.6%
2005301007112500002 1
 
2.6%
2010301010015500003 1
 
2.6%
2011301010015500001 1
 
2.6%
2011301010015500002 1
 
2.6%
2012301010015500001 1
 
2.6%
2012301010015500002 1
 
2.6%
2013301013015500001 1
 
2.6%
2013301013015500002 1
 
2.6%
2014301013015500001 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
2005301007112500001 1
2.6%
2005301007112500002 1
2.6%
2005301007112500003 1
2.6%
2005301007112500004 1
2.6%
2005301007112500005 1
2.6%
2005301007112500006 1
2.6%
2005301007112500007 1
2.6%
2005301007112500008 1
2.6%
2005301007112500009 1
2.6%
2005301007112500010 1
2.6%
ValueCountFrequency (%)
2023301020515500001 1
2.6%
2022301016515500002 1
2.6%
2022301016515500001 1
2.6%
2021301016515500001 1
2.6%
2018301015215500001 1
2.6%
2015301013015500002 1
2.6%
2015301013015500001 1
2.6%
2014301013015500003 1
2.6%
2014301013015500002 1
2.6%
2014301013015500001 1
2.6%

인허가일자
Date

Distinct25
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2005-11-04 00:00:00
Maximum2023-06-27 00:00:00
2024-04-06T21:52:36.263792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:36.477681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
1
30 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
76.9%
3 9
 
23.1%

Length

2024-04-06T21:52:36.683436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:36.885432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
76.9%
3 9
 
23.1%

영업상태명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
영업/정상
30 
폐업
9 

Length

Max length5
Median length5
Mean length4.3076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
76.9%
폐업 9
 
23.1%

Length

2024-04-06T21:52:37.116740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:37.354624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
76.9%
폐업 9
 
23.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
1
30 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
76.9%
3 9
 
23.1%

Length

2024-04-06T21:52:37.595823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:37.827688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
76.9%
3 9
 
23.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
정상영업
30 
폐업처리
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 30
76.9%
폐업처리 9
 
23.1%

Length

2024-04-06T21:52:38.037062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:38.315588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 30
76.9%
폐업처리 9
 
23.1%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing30
Missing (%)76.9%
Memory size444.0 B
Minimum2011-01-21 00:00:00
Maximum2023-10-05 00:00:00
2024-04-06T21:52:38.538283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:38.876029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

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 

Distinct18
Distinct (%)94.7%
Missing20
Missing (%)51.3%
Memory size444.0 B
2024-04-06T21:52:39.351235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.789474
Min length8

Characters and Unicode

Total characters205
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 (%)89.5%

Sample

1st row02 517 6168
2nd row2268-8177
3rd row2095-3014
4th row2238-9141
5th row318-1257
ValueCountFrequency (%)
02-2112-7100 2
 
9.5%
02-3284-8120 1
 
4.8%
2268-8177 1
 
4.8%
02-380-5777 1
 
4.8%
02-777-0206 1
 
4.8%
02-2095-3086 1
 
4.8%
02-529-5836 1
 
4.8%
02-2238-3190 1
 
4.8%
02-2265-8286 1
 
4.8%
02-2268-0505 1
 
4.8%
Other values (10) 10
47.6%
2024-04-06T21:52:40.438215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 41
20.0%
- 30
14.6%
0 29
14.1%
8 19
9.3%
1 18
8.8%
7 15
 
7.3%
5 14
 
6.8%
3 11
 
5.4%
6 10
 
4.9%
9 9
 
4.4%
Other values (2) 9
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 172
83.9%
Dash Punctuation 30
 
14.6%
Space Separator 3
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 41
23.8%
0 29
16.9%
8 19
11.0%
1 18
10.5%
7 15
 
8.7%
5 14
 
8.1%
3 11
 
6.4%
6 10
 
5.8%
9 9
 
5.2%
4 6
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 41
20.0%
- 30
14.6%
0 29
14.1%
8 19
9.3%
1 18
8.8%
7 15
 
7.3%
5 14
 
6.8%
3 11
 
5.4%
6 10
 
4.9%
9 9
 
4.4%
Other values (2) 9
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 41
20.0%
- 30
14.6%
0 29
14.1%
8 19
9.3%
1 18
8.8%
7 15
 
7.3%
5 14
 
6.8%
3 11
 
5.4%
6 10
 
4.9%
9 9
 
4.4%
Other values (2) 9
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing27
Missing (%)69.2%
Memory size444.0 B
2024-04-06T21:52:40.786340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0833333
Min length6

Characters and Unicode

Total characters73
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

Unique12 ?
Unique (%)100.0%

Sample

1st row100250
2nd row100856
3rd row100-851
4th row100440
5th row100080
ValueCountFrequency (%)
100250 1
8.3%
100856 1
8.3%
100-851 1
8.3%
100440 1
8.3%
100080 1
8.3%
100420 1
8.3%
100412 1
8.3%
100192 1
8.3%
100804 1
8.3%
100705 1
8.3%
Other values (2) 2
16.7%
2024-04-06T21:52:41.571897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
42.5%
1 17
23.3%
4 5
 
6.8%
2 4
 
5.5%
5 4
 
5.5%
8 4
 
5.5%
9 3
 
4.1%
3 2
 
2.7%
6 1
 
1.4%
- 1
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
98.6%
Dash Punctuation 1
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
43.1%
1 17
23.6%
4 5
 
6.9%
2 4
 
5.6%
5 4
 
5.6%
8 4
 
5.6%
9 3
 
4.2%
3 2
 
2.8%
6 1
 
1.4%
7 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
42.5%
1 17
23.3%
4 5
 
6.8%
2 4
 
5.5%
5 4
 
5.5%
8 4
 
5.5%
9 3
 
4.1%
3 2
 
2.7%
6 1
 
1.4%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
42.5%
1 17
23.3%
4 5
 
6.8%
2 4
 
5.5%
5 4
 
5.5%
8 4
 
5.5%
9 3
 
4.1%
3 2
 
2.7%
6 1
 
1.4%
- 1
 
1.4%

지번주소
Text

MISSING 

Distinct31
Distinct (%)88.6%
Missing4
Missing (%)10.3%
Memory size444.0 B
2024-04-06T21:52:42.209824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length28.028571
Min length17

Characters and Unicode

Total characters981
Distinct characters122
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

Unique27 ?
Unique (%)77.1%

Sample

1st row서울특별시 중구 쌍림동 282번지 1 호
2nd row서울특별시 중구 쌍림동 286번지
3rd row서울특별시 중구 신당동 67번지 79 호
4th row서울특별시 중구 순화동 6번지 1 호
5th row서울특별시 중구 순화동 6번지 1 호
ValueCountFrequency (%)
서울특별시 35
 
16.5%
중구 35
 
16.5%
호 12
 
5.7%
1 5
 
2.4%
1호 3
 
1.4%
장충동2가 3
 
1.4%
5번지 3
 
1.4%
99번지 2
 
0.9%
쌍림동 2
 
0.9%
무학동 2
 
0.9%
Other values (92) 110
51.9%
2024-04-06T21:52:43.081986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
21.2%
1 47
 
4.8%
시 38
 
3.9%
서 35
 
3.6%
특 35
 
3.6%
별 35
 
3.6%
중 35
 
3.6%
구 35
 
3.6%
울 35
 
3.6%
지 35
 
3.6%
Other values (112) 443
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
58.9%
Space Separator 208
 
21.2%
Decimal Number 155
 
15.8%
Lowercase Letter 16
 
1.6%
Uppercase Letter 16
 
1.6%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 38
 
6.6%
서 35
 
6.1%
특 35
 
6.1%
별 35
 
6.1%
중 35
 
6.1%
구 35
 
6.1%
울 35
 
6.1%
지 35
 
6.1%
동 30
 
5.2%
호 30
 
5.2%
Other values (85) 235
40.7%
Decimal Number
ValueCountFrequency (%)
1 47
30.3%
2 28
18.1%
4 14
 
9.0%
0 13
 
8.4%
5 10
 
6.5%
6 10
 
6.5%
7 9
 
5.8%
3 9
 
5.8%
9 8
 
5.2%
8 7
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
E 4
25.0%
C 2
12.5%
M 2
12.5%
A 2
12.5%
N 2
12.5%
R 2
12.5%
T 2
12.5%
Lowercase Letter
ValueCountFrequency (%)
s 4
25.0%
e 4
25.0%
i 2
12.5%
a 2
12.5%
t 2
12.5%
r 2
12.5%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
58.9%
Common 371
37.8%
Latin 32
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 38
 
6.6%
서 35
 
6.1%
특 35
 
6.1%
별 35
 
6.1%
중 35
 
6.1%
구 35
 
6.1%
울 35
 
6.1%
지 35
 
6.1%
동 30
 
5.2%
호 30
 
5.2%
Other values (85) 235
40.7%
Common
ValueCountFrequency (%)
208
56.1%
1 47
 
12.7%
2 28
 
7.5%
4 14
 
3.8%
0 13
 
3.5%
5 10
 
2.7%
6 10
 
2.7%
7 9
 
2.4%
3 9
 
2.4%
9 8
 
2.2%
Other values (4) 15
 
4.0%
Latin
ValueCountFrequency (%)
s 4
12.5%
E 4
12.5%
e 4
12.5%
C 2
 
6.2%
M 2
 
6.2%
i 2
 
6.2%
a 2
 
6.2%
A 2
 
6.2%
t 2
 
6.2%
r 2
 
6.2%
Other values (3) 6
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 578
58.9%
ASCII 403
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
51.6%
1 47
 
11.7%
2 28
 
6.9%
4 14
 
3.5%
0 13
 
3.2%
5 10
 
2.5%
6 10
 
2.5%
7 9
 
2.2%
3 9
 
2.2%
9 8
 
2.0%
Other values (17) 47
 
11.7%
Hangul
ValueCountFrequency (%)
시 38
 
6.6%
서 35
 
6.1%
특 35
 
6.1%
별 35
 
6.1%
중 35
 
6.1%
구 35
 
6.1%
울 35
 
6.1%
지 35
 
6.1%
동 30
 
5.2%
호 30
 
5.2%
Other values (85) 235
40.7%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing16
Missing (%)41.0%
Memory size444.0 B
2024-04-06T21:52:43.516725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length41
Mean length35.73913
Min length22

Characters and Unicode

Total characters822
Distinct characters127
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row서울특별시 중구 퇴계로58길 2 (쌍림동)
2nd row서울특별시 중구 퇴계로73길 24 (흥인동)
3rd row서울특별시 중구 퇴계로30길 24 (예장동,삼익아파트1층상가 105호)
4th row서울특별시 중구 통일로 10, 12층 (남대문로5가, 연세세브란스빌딩)
5th row서울특별시 중구 장충단로 72 (장충동2가)
ValueCountFrequency (%)
서울특별시 23
 
14.9%
중구 23
 
14.9%
장충단로 3
 
1.9%
청계천로 3
 
1.9%
24 3
 
1.9%
퇴계로 3
 
1.9%
10 2
 
1.3%
12층 2
 
1.3%
남대문로5가 2
 
1.3%
center1 2
 
1.3%
Other values (76) 88
57.1%
2024-04-06T21:52:44.184999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
15.9%
1 31
 
3.8%
로 28
 
3.4%
, 26
 
3.2%
시 26
 
3.2%
( 25
 
3.0%
2 25
 
3.0%
) 25
 
3.0%
서 23
 
2.8%
특 23
 
2.8%
Other values (117) 459
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
54.3%
Decimal Number 133
 
16.2%
Space Separator 131
 
15.9%
Other Punctuation 26
 
3.2%
Open Punctuation 25
 
3.0%
Close Punctuation 25
 
3.0%
Uppercase Letter 17
 
2.1%
Lowercase Letter 16
 
1.9%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 28
 
6.3%
시 26
 
5.8%
서 23
 
5.2%
특 23
 
5.2%
별 23
 
5.2%
중 23
 
5.2%
구 23
 
5.2%
울 23
 
5.2%
동 20
 
4.5%
층 13
 
2.9%
Other values (87) 221
49.6%
Decimal Number
ValueCountFrequency (%)
1 31
23.3%
2 25
18.8%
0 19
14.3%
4 13
9.8%
3 12
 
9.0%
5 12
 
9.0%
7 8
 
6.0%
6 7
 
5.3%
8 3
 
2.3%
9 3
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
E 4
23.5%
M 2
11.8%
C 2
11.8%
N 2
11.8%
T 2
11.8%
R 2
11.8%
A 2
11.8%
B 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
s 4
25.0%
e 4
25.0%
r 2
12.5%
i 2
12.5%
a 2
12.5%
t 2
12.5%
Space Separator
ValueCountFrequency (%)
131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
54.3%
Common 343
41.7%
Latin 33
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 28
 
6.3%
시 26
 
5.8%
서 23
 
5.2%
특 23
 
5.2%
별 23
 
5.2%
중 23
 
5.2%
구 23
 
5.2%
울 23
 
5.2%
동 20
 
4.5%
층 13
 
2.9%
Other values (87) 221
49.6%
Common
ValueCountFrequency (%)
131
38.2%
1 31
 
9.0%
, 26
 
7.6%
( 25
 
7.3%
2 25
 
7.3%
) 25
 
7.3%
0 19
 
5.5%
4 13
 
3.8%
3 12
 
3.5%
5 12
 
3.5%
Other values (6) 24
 
7.0%
Latin
ValueCountFrequency (%)
E 4
12.1%
s 4
12.1%
e 4
12.1%
r 2
 
6.1%
i 2
 
6.1%
M 2
 
6.1%
a 2
 
6.1%
C 2
 
6.1%
N 2
 
6.1%
T 2
 
6.1%
Other values (4) 7
21.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
54.3%
ASCII 376
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
34.8%
1 31
 
8.2%
, 26
 
6.9%
( 25
 
6.6%
2 25
 
6.6%
) 25
 
6.6%
0 19
 
5.1%
4 13
 
3.5%
3 12
 
3.2%
5 12
 
3.2%
Other values (20) 57
15.2%
Hangul
ValueCountFrequency (%)
로 28
 
6.3%
시 26
 
5.8%
서 23
 
5.2%
특 23
 
5.2%
별 23
 
5.2%
중 23
 
5.2%
구 23
 
5.2%
울 23
 
5.2%
동 20
 
4.5%
층 13
 
2.9%
Other values (87) 221
49.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)75.0%
Missing23
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean52601.312
Minimum4522
Maximum100871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:52:44.463003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4522
5-th percentile4525.75
Q14539
median52506
Q3100733.5
95-th percentile100852.25
Maximum100871
Range96349
Interquartile range (IQR)96194.5

Descriptive statistics

Standard deviation49631.289
Coefficient of variation (CV)0.94353709
Kurtosis-2.3076395
Mean52601.312
Median Absolute Deviation (MAD)47973
Skewness2.9734166 × 10-5
Sum841621
Variance2.4632649 × 109
MonotonicityNot monotonic
2024-04-06T21:52:44.676983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4527 2
 
5.1%
4542 2
 
5.1%
100819 2
 
5.1%
4539 2
 
5.1%
100420 1
 
2.6%
100705 1
 
2.6%
100846 1
 
2.6%
100380 1
 
2.6%
100391 1
 
2.6%
100871 1
 
2.6%
Other values (2) 2
 
5.1%
(Missing) 23
59.0%
ValueCountFrequency (%)
4522 1
2.6%
4527 2
5.1%
4539 2
5.1%
4542 2
5.1%
4632 1
2.6%
100380 1
2.6%
100391 1
2.6%
100420 1
2.6%
100705 1
2.6%
100819 2
5.1%
ValueCountFrequency (%)
100871 1
2.6%
100846 1
2.6%
100819 2
5.1%
100705 1
2.6%
100420 1
2.6%
100391 1
2.6%
100380 1
2.6%
4632 1
2.6%
4542 2
5.1%
4539 2
5.1%

사업장명
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-06T21:52:45.110954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length8.1794872
Min length2

Characters and Unicode

Total characters319
Distinct characters128
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

Unique35 ?
Unique (%)89.7%

Sample

1st row오성주류판매
2nd row대림인터내셔날
3rd row대성상사
4th row동방상사
5th row보양상공(주)
ValueCountFrequency (%)
주식회사 3
 
6.4%
롯데로지스틱스(주 2
 
4.3%
코리아 2
 
4.3%
한국전자담배 2
 
4.3%
다온a&t 1
 
2.1%
브이앤라이프 1
 
2.1%
브리티쉬아메리칸토바코코리아(주 1
 
2.1%
주)코리아세븐 1
 
2.1%
오성주류판매 1
 
2.1%
모우고 1
 
2.1%
Other values (32) 32
68.1%
2024-04-06T21:52:45.855846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 18
 
5.6%
주 17
 
5.3%
( 16
 
5.0%
) 16
 
5.0%
스 10
 
3.1%
이 10
 
3.1%
아 10
 
3.1%
코 9
 
2.8%
8
 
2.5%
사 7
 
2.2%
Other values (118) 198
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 272
85.3%
Open Punctuation 16
 
5.0%
Close Punctuation 16
 
5.0%
Space Separator 8
 
2.5%
Uppercase Letter 6
 
1.9%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 18
 
6.6%
주 17
 
6.2%
스 10
 
3.7%
이 10
 
3.7%
아 10
 
3.7%
코 9
 
3.3%
사 7
 
2.6%
담 6
 
2.2%
배 6
 
2.2%
대 5
 
1.8%
Other values (109) 174
64.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
T 1
16.7%
H 1
16.7%
X 1
16.7%
A 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 272
85.3%
Common 41
 
12.9%
Latin 6
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 18
 
6.6%
주 17
 
6.2%
스 10
 
3.7%
이 10
 
3.7%
아 10
 
3.7%
코 9
 
3.3%
사 7
 
2.6%
담 6
 
2.2%
배 6
 
2.2%
대 5
 
1.8%
Other values (109) 174
64.0%
Latin
ValueCountFrequency (%)
E 2
33.3%
T 1
16.7%
H 1
16.7%
X 1
16.7%
A 1
16.7%
Common
ValueCountFrequency (%)
( 16
39.0%
) 16
39.0%
8
19.5%
& 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 272
85.3%
ASCII 47
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 18
 
6.6%
주 17
 
6.2%
스 10
 
3.7%
이 10
 
3.7%
아 10
 
3.7%
코 9
 
3.3%
사 7
 
2.6%
담 6
 
2.2%
배 6
 
2.2%
대 5
 
1.8%
Other values (109) 174
64.0%
ASCII
ValueCountFrequency (%)
( 16
34.0%
) 16
34.0%
8
17.0%
E 2
 
4.3%
T 1
 
2.1%
H 1
 
2.1%
X 1
 
2.1%
A 1
 
2.1%
& 1
 
2.1%

최종수정일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2005-11-04 11:28:45
Maximum2024-01-26 11:15:43
2024-04-06T21:52:46.132275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:46.437267image/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
33 
U
6 

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 33
84.6%
U 6
 
15.4%

Length

2024-04-06T21:52:46.762791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:47.087548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
84.6%
u 6
 
15.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
2018-08-31 23:59:59.0
31 
2023-11-30 23:00:00.0
 
1
2023-12-01 00:07:00.0
 
1
2022-10-31 22:06:00.0
 
1
2019-04-11 02:40:00.0
 
1
Other values (4)
4 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)20.5%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 31
79.5%
2023-11-30 23:00:00.0 1
 
2.6%
2023-12-01 00:07:00.0 1
 
2.6%
2022-10-31 22:06:00.0 1
 
2.6%
2019-04-11 02:40:00.0 1
 
2.6%
2021-03-31 00:22:59.0 1
 
2.6%
2021-12-07 23:09:00.0 1
 
2.6%
2022-10-30 23:05:00.0 1
 
2.6%
2023-11-30 22:08:00.0 1
 
2.6%

Length

2024-04-06T21:52:47.399056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:47.745052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 31
39.7%
23:59:59.0 31
39.7%
2023-11-30 2
 
2.6%
2021-03-31 1
 
1.3%
23:05:00.0 1
 
1.3%
2022-10-30 1
 
1.3%
23:09:00.0 1
 
1.3%
2021-12-07 1
 
1.3%
00:22:59.0 1
 
1.3%
2019-04-11 1
 
1.3%
Other values (7) 7
 
9.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)88.0%
Missing14
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean199697.21
Minimum197613
Maximum201924.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:52:47.990507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197613
5-th percentile197695.48
Q1198620.93
median199186.97
Q3200785.69
95-th percentile201796.1
Maximum201924.91
Range4311.9148
Interquartile range (IQR)2164.752

Descriptive statistics

Standard deviation1394.5094
Coefficient of variation (CV)0.0069831191
Kurtosis-1.3723239
Mean199697.21
Median Absolute Deviation (MAD)1161.5484
Skewness0.14414432
Sum4992430.2
Variance1944656.5
MonotonicityNot monotonic
2024-04-06T21:52:48.282522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
197612.995083649 2
 
5.1%
198620.934275413 2
 
5.1%
198916.653480187 2
 
5.1%
199186.971559131 1
 
2.6%
200020.63978071 1
 
2.6%
198264.174398114 1
 
2.6%
198259.65357739 1
 
2.6%
198333.028496101 1
 
2.6%
201924.909850182 1
 
2.6%
200520.859670906 1
 
2.6%
Other values (12) 12
30.8%
(Missing) 14
35.9%
ValueCountFrequency (%)
197612.995083649 2
5.1%
198025.423145944 1
2.6%
198259.65357739 1
2.6%
198264.174398114 1
2.6%
198333.028496101 1
2.6%
198620.934275413 2
5.1%
198916.653480187 2
5.1%
199040.267069982 1
2.6%
199145.32420106 1
2.6%
199186.971559131 1
2.6%
ValueCountFrequency (%)
201924.909850182 1
2.6%
201866.335439439 1
2.6%
201515.176256745 1
2.6%
201493.81751023 1
2.6%
201327.98484554 1
2.6%
201187.990063865 1
2.6%
200785.686251461 1
2.6%
200573.641273539 1
2.6%
200520.859670906 1
2.6%
200502.471721498 1
2.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)88.0%
Missing14
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean451283.22
Minimum449919.63
Maximum451985.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:52:48.549079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449919.63
5-th percentile450539.86
Q1451040.43
median451392.2
Q3451644.99
95-th percentile451837.62
Maximum451985.93
Range2066.2986
Interquartile range (IQR)604.5599

Descriptive statistics

Standard deviation485.75839
Coefficient of variation (CV)0.0010763937
Kurtosis1.1792797
Mean451283.22
Median Absolute Deviation (MAD)289.75982
Skewness-1.0982799
Sum11282080
Variance235961.22
MonotonicityNot monotonic
2024-04-06T21:52:48.786892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
450539.857693464 2
 
5.1%
451681.95803574 2
 
5.1%
451694.842893728 2
 
5.1%
450840.2405318 1
 
2.6%
451141.036979227 1
 
2.6%
451644.992565652 1
 
2.6%
451392.198218657 1
 
2.6%
450665.054323019 1
 
2.6%
451873.308509712 1
 
2.6%
450972.426350493 1
 
2.6%
Other values (12) 12
30.8%
(Missing) 14
35.9%
ValueCountFrequency (%)
449919.627798891 1
2.6%
450539.857693464 2
5.1%
450665.054323019 1
2.6%
450840.2405318 1
2.6%
450972.426350493 1
2.6%
451040.432662092 1
2.6%
451141.036979227 1
2.6%
451233.281723117 1
2.6%
451280.531205066 1
2.6%
451341.250379781 1
2.6%
ValueCountFrequency (%)
451985.926395452 1
2.6%
451873.308509712 1
2.6%
451694.842893728 2
5.1%
451681.95803574 2
5.1%
451644.992565652 1
2.6%
451621.036467544 1
2.6%
451558.419120747 1
2.6%
451521.300802736 1
2.6%
451443.482518591 1
2.6%
451427.881160922 1
2.6%

취급제품명
Text

MISSING 

Distinct25
Distinct (%)75.8%
Missing6
Missing (%)15.4%
Memory size444.0 B
2024-04-06T21:52:49.200761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length16
Mean length10.151515
Min length2

Characters and Unicode

Total characters335
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)63.6%

Sample

1st row데비도프
2nd row켄트,팔말,쿨
3rd row켄트,팔말,쿨
4th row삐에르가르뎅
5th row삐에르가르뎅
ValueCountFrequency (%)
전자담배 6
 
9.5%
던힐 3
 
4.8%
외 3
 
4.8%
말보르외 2
 
3.2%
삐에르가르뎅 2
 
3.2%
블렉스톤체리 2
 
3.2%
디스 2
 
3.2%
메비우스 2
 
3.2%
스위스'8 2
 
3.2%
켄트,팔말,쿨 2
 
3.2%
Other values (37) 37
58.7%
2024-04-06T21:52:49.881413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
9.0%
, 23
 
6.9%
담 14
 
4.2%
배 14
 
4.2%
스 14
 
4.2%
르 8
 
2.4%
전 8
 
2.4%
자 8
 
2.4%
외 7
 
2.1%
( 6
 
1.8%
Other values (113) 203
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
64.8%
Space Separator 30
 
9.0%
Other Punctuation 27
 
8.1%
Lowercase Letter 21
 
6.3%
Uppercase Letter 15
 
4.5%
Decimal Number 13
 
3.9%
Open Punctuation 6
 
1.8%
Close Punctuation 6
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 14
 
6.5%
배 14
 
6.5%
스 14
 
6.5%
르 8
 
3.7%
전 8
 
3.7%
자 8
 
3.7%
외 7
 
3.2%
말 6
 
2.8%
트 4
 
1.8%
보 4
 
1.8%
Other values (76) 130
59.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
 
9.5%
f 2
 
9.5%
i 2
 
9.5%
z 2
 
9.5%
g 2
 
9.5%
r 2
 
9.5%
o 1
 
4.8%
n 1
 
4.8%
w 1
 
4.8%
u 1
 
4.8%
Other values (5) 5
23.8%
Uppercase Letter
ValueCountFrequency (%)
R 3
20.0%
A 2
13.3%
E 2
13.3%
T 2
13.3%
M 1
 
6.7%
K 1
 
6.7%
B 1
 
6.7%
X 1
 
6.7%
U 1
 
6.7%
S 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
8 4
30.8%
1 3
23.1%
2 2
15.4%
6 1
 
7.7%
4 1
 
7.7%
3 1
 
7.7%
5 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 23
85.2%
' 4
 
14.8%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
64.8%
Common 82
 
24.5%
Latin 36
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 14
 
6.5%
배 14
 
6.5%
스 14
 
6.5%
르 8
 
3.7%
전 8
 
3.7%
자 8
 
3.7%
외 7
 
3.2%
말 6
 
2.8%
트 4
 
1.8%
보 4
 
1.8%
Other values (76) 130
59.9%
Latin
ValueCountFrequency (%)
R 3
 
8.3%
A 2
 
5.6%
E 2
 
5.6%
e 2
 
5.6%
f 2
 
5.6%
i 2
 
5.6%
T 2
 
5.6%
z 2
 
5.6%
g 2
 
5.6%
r 2
 
5.6%
Other values (15) 15
41.7%
Common
ValueCountFrequency (%)
30
36.6%
, 23
28.0%
( 6
 
7.3%
) 6
 
7.3%
8 4
 
4.9%
' 4
 
4.9%
1 3
 
3.7%
2 2
 
2.4%
6 1
 
1.2%
4 1
 
1.2%
Other values (2) 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
64.8%
ASCII 118
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
25.4%
, 23
19.5%
( 6
 
5.1%
) 6
 
5.1%
8 4
 
3.4%
' 4
 
3.4%
1 3
 
2.5%
R 3
 
2.5%
A 2
 
1.7%
2 2
 
1.7%
Other values (27) 35
29.7%
Hangul
ValueCountFrequency (%)
담 14
 
6.5%
배 14
 
6.5%
스 14
 
6.5%
르 8
 
3.7%
전 8
 
3.7%
자 8
 
3.7%
외 7
 
3.2%
말 6
 
2.8%
트 4
 
1.8%
보 4
 
1.8%
Other values (76) 130
59.9%

담배공급업체명
Text

MISSING 

Distinct29
Distinct (%)87.9%
Missing6
Missing (%)15.4%
Memory size444.0 B
2024-04-06T21:52:50.361339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length22
Mean length15.484848
Min length5

Characters and Unicode

Total characters511
Distinct characters136
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

Unique25 ?
Unique (%)75.8%

Sample

1st row(주)한도코퍼레이션
2nd row대안인터내셔날(주)
3rd row대안인터내셔날(주)
4th row신벽(주)
5th row신벽(주)
ValueCountFrequency (%)
kt&g 3
 
4.4%
에이엠에스 2
 
2.9%
group 2
 
2.9%
전자담배코리아 2
 
2.9%
대안인터내셔날(주 2
 
2.9%
신벽(주 2
 
2.9%
츄리온더쇼어 2
 
2.9%
bat코리아 2
 
2.9%
jti코리아 2
 
2.9%
한국필립모리스 2
 
2.9%
Other values (45) 47
69.1%
2024-04-06T21:52:51.042951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
6.8%
주 23
 
4.5%
( 22
 
4.3%
) 22
 
4.3%
, 20
 
3.9%
리 15
 
2.9%
이 14
 
2.7%
코 13
 
2.5%
T 13
 
2.5%
스 11
 
2.2%
Other values (126) 323
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
52.4%
Uppercase Letter 66
 
12.9%
Lowercase Letter 58
 
11.4%
Space Separator 35
 
6.8%
Other Punctuation 34
 
6.7%
Open Punctuation 22
 
4.3%
Close Punctuation 22
 
4.3%
Decimal Number 6
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
8.6%
리 15
 
5.6%
이 14
 
5.2%
코 13
 
4.9%
스 11
 
4.1%
아 10
 
3.7%
에 7
 
2.6%
인 6
 
2.2%
한 6
 
2.2%
담 6
 
2.2%
Other values (77) 157
58.6%
Lowercase Letter
ValueCountFrequency (%)
a 9
15.5%
o 8
13.8%
i 5
 
8.6%
d 5
 
8.6%
n 4
 
6.9%
t 3
 
5.2%
h 3
 
5.2%
c 3
 
5.2%
p 3
 
5.2%
l 2
 
3.4%
Other values (10) 13
22.4%
Uppercase Letter
ValueCountFrequency (%)
T 13
19.7%
G 6
9.1%
I 6
9.1%
A 6
9.1%
K 5
 
7.6%
J 4
 
6.1%
N 4
 
6.1%
B 3
 
4.5%
L 3
 
4.5%
R 3
 
4.5%
Other values (7) 13
19.7%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
4 1
16.7%
5 1
16.7%
1 1
16.7%
2 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 20
58.8%
. 8
 
23.5%
& 5
 
14.7%
* 1
 
2.9%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
52.4%
Latin 124
24.3%
Common 119
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
8.6%
리 15
 
5.6%
이 14
 
5.2%
코 13
 
4.9%
스 11
 
4.1%
아 10
 
3.7%
에 7
 
2.6%
인 6
 
2.2%
한 6
 
2.2%
담 6
 
2.2%
Other values (77) 157
58.6%
Latin
ValueCountFrequency (%)
T 13
 
10.5%
a 9
 
7.3%
o 8
 
6.5%
G 6
 
4.8%
I 6
 
4.8%
A 6
 
4.8%
i 5
 
4.0%
K 5
 
4.0%
d 5
 
4.0%
n 4
 
3.2%
Other values (27) 57
46.0%
Common
ValueCountFrequency (%)
35
29.4%
( 22
18.5%
) 22
18.5%
, 20
16.8%
. 8
 
6.7%
& 5
 
4.2%
3 2
 
1.7%
4 1
 
0.8%
5 1
 
0.8%
* 1
 
0.8%
Other values (2) 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
52.4%
ASCII 243
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
 
14.4%
( 22
 
9.1%
) 22
 
9.1%
, 20
 
8.2%
T 13
 
5.3%
a 9
 
3.7%
. 8
 
3.3%
o 8
 
3.3%
G 6
 
2.5%
I 6
 
2.5%
Other values (39) 94
38.7%
Hangul
ValueCountFrequency (%)
주 23
 
8.6%
리 15
 
5.6%
이 14
 
5.2%
코 13
 
4.9%
스 11
 
4.1%
아 10
 
3.7%
에 7
 
2.6%
인 6
 
2.2%
한 6
 
2.2%
담 6
 
2.2%
Other values (77) 157
58.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
03010000200530100711250000120051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 쌍림동 282번지 1 호<NA><NA>오성주류판매2005-11-04 11:28:45I2018-08-31 23:59:59.0<NA><NA><NA>데비도프(주)한도코퍼레이션
13010000200530100711250000220051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 쌍림동 286번지서울특별시 중구 퇴계로58길 2 (쌍림동)<NA>대림인터내셔날2005-11-04 11:31:10I2018-08-31 23:59:59.0<NA>200502.471721451280.531205켄트,팔말,쿨대안인터내셔날(주)
23010000200530100711250000320051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 67번지 79 호<NA><NA>대성상사2005-11-04 11:33:02I2018-08-31 23:59:59.0<NA><NA><NA>켄트,팔말,쿨대안인터내셔날(주)
33010000200530100711250000420051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 순화동 6번지 1 호<NA><NA>동방상사2005-11-04 11:34:24I2018-08-31 23:59:59.0<NA><NA><NA>삐에르가르뎅신벽(주)
43010000200530100711250000520051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 순화동 6번지 1 호<NA><NA>보양상공(주)2005-11-04 11:35:39I2018-08-31 23:59:59.0<NA><NA><NA>삐에르가르뎅신벽(주)
53010000200530100711250000620051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 흥인동 144번지서울특별시 중구 퇴계로73길 24 (흥인동)<NA>동산실업2005-11-04 16:38:49I2018-08-31 23:59:59.0<NA>201187.990064451558.419121스위스'8'에이엠에스 트레이딩(주)
63010000200530100711250000720051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로2가 12번지 2 호<NA><NA>중봉교역 중부대리점2005-11-04 16:40:30I2018-08-31 23:59:59.0<NA><NA><NA>스위스'8'에이엠에스 트레이딩(주)
73010000200530100711250000820051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 무학동 47번지 2 호 임창빌딩 203호<NA><NA>풍석개발(주)2005-11-04 16:42:39I2018-08-31 23:59:59.0<NA><NA><NA>독일BAT사 Kim제품가림인터내셔날
83010000200530100711250000920051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 오장동 101번지 27 호 아성빌딩 206호<NA><NA>한일유통2005-11-04 16:45:03I2018-08-31 23:59:59.0<NA><NA><NA>칼튼,환타지,하피아프가르뎅 등(주)화일교역,(주)금아무역
93010000200530100711250001020051104<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 만리동1가 35번지 1 호<NA><NA>(주)아나유통2005-11-04 16:46:54I2018-08-31 23:59:59.0<NA><NA><NA>마일드세븐외 26종(주)엠에스유통,(주)삼양인터내셔날 외3
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)취급제품명담배공급업체명
293010000201430101301550000120140129<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-2265-8286<NA><NA><NA>서울특별시 중구 퇴계로 264, 703호 (묵정동, 보림빌딩)100380토마주식회사2014-01-29 17:44:37I2018-08-31 23:59:59.0<NA>200020.639781451141.036979snuff(코담배)홍유(주)
303010000201430101301550000220141015<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 퇴계로 414, 103호 (신당동)100819헥세(HEXE)2014-11-27 16:08:10I2018-08-31 23:59:59.0<NA>201493.81751451443.482519전자담배(주)제이에프티(저스트포그)
313010000201430101301550000320141105<NA>3폐업3폐업처리20170124<NA><NA><NA>02-2238-3190<NA><NA><NA>서울특별시 중구 퇴계로90길 22, 1층 (신당동)100819한국전자담배2017-01-25 18:05:11I2018-08-31 23:59:59.0<NA>201866.335439451344.642493전자담배한국전자담배
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