Overview

Dataset statistics

Number of variables11
Number of observations647
Missing cells5
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.7 KiB
Average record size in memory88.2 B

Variable types

Text7
DateTime1
Categorical3

Dataset

Description충청남도 논산시 담배소매인 지정 현황 데이터로 지정번호, 지정일자, 대표자명, 소매인구분, 업소명, 행정동, 소재지도로명주소 등의 정보를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=389&beforeMenuCd=DOM_000000201001001000&publicdatapk=15035493

Alerts

지정번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:07:12.059145
Analysis finished2024-01-09 22:07:12.825752
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Text

UNIQUE 

Distinct647
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-10T07:07:12.953758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters14881
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

Unique647 ?
Unique (%)100.0%

Sample

1st row1970-4540046-05-6-00013
2nd row1974-4540042-05-6-00006
3rd row1974-4540043-05-6-00005
4th row1974-4540043-05-6-00006
5th row1974-4540043-05-6-00007
ValueCountFrequency (%)
1970-4540046-05-6-00013 1
 
0.2%
2015-4540195-05-6-00010 1
 
0.2%
2013-4540178-05-6-00041 1
 
0.2%
2013-4540178-05-6-00034 1
 
0.2%
2013-4540178-05-6-00035 1
 
0.2%
2013-4540178-05-6-00036 1
 
0.2%
2013-4540178-05-6-00037 1
 
0.2%
2013-4540178-05-6-00038 1
 
0.2%
2013-4540178-05-6-00039 1
 
0.2%
2013-4540178-05-6-00040 1
 
0.2%
Other values (637) 637
98.5%
2024-01-10T07:07:13.230991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4387
29.5%
- 2609
17.5%
5 1821
12.2%
4 1673
 
11.2%
1 1124
 
7.6%
6 817
 
5.5%
9 741
 
5.0%
2 731
 
4.9%
8 407
 
2.7%
3 290
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12272
82.5%
Dash Punctuation 2609
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4387
35.7%
5 1821
14.8%
4 1673
 
13.6%
1 1124
 
9.2%
6 817
 
6.7%
9 741
 
6.0%
2 731
 
6.0%
8 407
 
3.3%
3 290
 
2.4%
7 281
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 2609
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4387
29.5%
- 2609
17.5%
5 1821
12.2%
4 1673
 
11.2%
1 1124
 
7.6%
6 817
 
5.5%
9 741
 
5.0%
2 731
 
4.9%
8 407
 
2.7%
3 290
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4387
29.5%
- 2609
17.5%
5 1821
12.2%
4 1673
 
11.2%
1 1124
 
7.6%
6 817
 
5.5%
9 741
 
5.0%
2 731
 
4.9%
8 407
 
2.7%
3 290
 
1.9%

지정일자
Date

Distinct539
Distinct (%)84.0%
Missing5
Missing (%)0.8%
Memory size5.2 KiB
Minimum1970-06-14 00:00:00
Maximum2020-03-13 00:00:00
2024-01-10T07:07:13.345071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:07:13.451481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표자명
Text

Distinct592
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-10T07:07:13.751659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length3.9721793
Min length2

Characters and Unicode

Total characters2570
Distinct characters236
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)86.6%

Sample

1st row이원구
2nd row조상학
3rd row강현태
4th row천경순
5th row박병득
ValueCountFrequency (%)
손수식 17
 
2.4%
국군복지단 15
 
2.1%
대전지원본부장 12
 
1.7%
건양대학교 7
 
1.0%
7
 
1.0%
논산계룡농협(대표자 4
 
0.6%
이환홍 4
 
0.6%
주)코리아세븐 4
 
0.6%
대전지원본부 3
 
0.4%
김흥식 3
 
0.4%
Other values (605) 636
89.3%
2024-01-10T07:07:14.230723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 129
 
5.0%
이 98
 
3.8%
순 72
 
2.8%
65
 
2.5%
영 57
 
2.2%
정 54
 
2.1%
박 49
 
1.9%
지 45
 
1.8%
희 44
 
1.7%
대 44
 
1.7%
Other values (226) 1913
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2437
94.8%
Space Separator 65
 
2.5%
Close Punctuation 29
 
1.1%
Open Punctuation 29
 
1.1%
Other Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 129
 
5.3%
이 98
 
4.0%
순 72
 
3.0%
영 57
 
2.3%
정 54
 
2.2%
박 49
 
2.0%
지 45
 
1.8%
희 44
 
1.8%
대 44
 
1.8%
수 39
 
1.6%
Other values (221) 1806
74.1%
Other Punctuation
ValueCountFrequency (%)
: 7
70.0%
, 3
30.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2437
94.8%
Common 133
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 129
 
5.3%
이 98
 
4.0%
순 72
 
3.0%
영 57
 
2.3%
정 54
 
2.2%
박 49
 
2.0%
지 45
 
1.8%
희 44
 
1.8%
대 44
 
1.8%
수 39
 
1.6%
Other values (221) 1806
74.1%
Common
ValueCountFrequency (%)
65
48.9%
) 29
21.8%
( 29
21.8%
: 7
 
5.3%
, 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2437
94.8%
ASCII 133
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 129
 
5.3%
이 98
 
4.0%
순 72
 
3.0%
영 57
 
2.3%
정 54
 
2.2%
박 49
 
2.0%
지 45
 
1.8%
희 44
 
1.8%
대 44
 
1.8%
수 39
 
1.6%
Other values (221) 1806
74.1%
ASCII
ValueCountFrequency (%)
65
48.9%
) 29
21.8%
( 29
21.8%
: 7
 
5.3%
, 3
 
2.3%

소매인구분
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
일반소매인
336 
240 
구분없음
42 
구내소매인
 
29

Length

Max length5
Median length5
Mean length3.4513138
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 336
51.9%
240
37.1%
구분없음 42
 
6.5%
구내소매인 29
 
4.5%

Length

2024-01-10T07:07:14.351016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:07:14.462787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 336
82.6%
구분없음 42
 
10.3%
구내소매인 29
 
7.1%

업소명
Text

Distinct636
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-10T07:07:14.674043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.8531685
Min length2

Characters and Unicode

Total characters3787
Distinct characters399
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

Unique627 ?
Unique (%)96.9%

Sample

1st row이원구
2nd row조상학
3rd row강현태
4th row천경순
5th row박병득
ValueCountFrequency (%)
세븐일레븐 14
 
1.9%
육훈소 12
 
1.6%
gs25 7
 
0.9%
마을구판장 4
 
0.5%
논산계룡농협 4
 
0.5%
구판장 4
 
0.5%
이마트24 4
 
0.5%
씨스페이스 3
 
0.4%
주)코리아세븐 3
 
0.4%
하나로마트 3
 
0.4%
Other values (668) 687
92.2%
2024-01-10T07:07:14.993385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 140
 
3.7%
산 131
 
3.5%
논 108
 
2.9%
98
 
2.6%
마 96
 
2.5%
트 84
 
2.2%
대 66
 
1.7%
이 63
 
1.7%
슈 59
 
1.6%
퍼 55
 
1.5%
Other values (389) 2887
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3437
90.8%
Decimal Number 106
 
2.8%
Space Separator 98
 
2.6%
Uppercase Letter 97
 
2.6%
Close Punctuation 19
 
0.5%
Open Punctuation 19
 
0.5%
Other Punctuation 10
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 140
 
4.1%
산 131
 
3.8%
논 108
 
3.1%
마 96
 
2.8%
트 84
 
2.4%
대 66
 
1.9%
이 63
 
1.8%
슈 59
 
1.7%
퍼 55
 
1.6%
소 47
 
1.4%
Other values (358) 2588
75.3%
Uppercase Letter
ValueCountFrequency (%)
S 32
33.0%
G 31
32.0%
C 11
 
11.3%
U 5
 
5.2%
D 3
 
3.1%
I 3
 
3.1%
K 2
 
2.1%
T 2
 
2.1%
V 2
 
2.1%
B 2
 
2.1%
Other values (4) 4
 
4.1%
Decimal Number
ValueCountFrequency (%)
2 45
42.5%
5 33
31.1%
9 6
 
5.7%
4 5
 
4.7%
3 4
 
3.8%
7 4
 
3.8%
1 3
 
2.8%
6 3
 
2.8%
0 2
 
1.9%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
& 1
 
10.0%
# 1
 
10.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3437
90.8%
Common 253
 
6.7%
Latin 97
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 140
 
4.1%
산 131
 
3.8%
논 108
 
3.1%
마 96
 
2.8%
트 84
 
2.4%
대 66
 
1.9%
이 63
 
1.8%
슈 59
 
1.7%
퍼 55
 
1.6%
소 47
 
1.4%
Other values (358) 2588
75.3%
Common
ValueCountFrequency (%)
98
38.7%
2 45
17.8%
5 33
 
13.0%
) 19
 
7.5%
( 19
 
7.5%
. 8
 
3.2%
9 6
 
2.4%
4 5
 
2.0%
3 4
 
1.6%
7 4
 
1.6%
Other values (7) 12
 
4.7%
Latin
ValueCountFrequency (%)
S 32
33.0%
G 31
32.0%
C 11
 
11.3%
U 5
 
5.2%
D 3
 
3.1%
I 3
 
3.1%
K 2
 
2.1%
T 2
 
2.1%
V 2
 
2.1%
B 2
 
2.1%
Other values (4) 4
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3437
90.8%
ASCII 350
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 140
 
4.1%
산 131
 
3.8%
논 108
 
3.1%
마 96
 
2.8%
트 84
 
2.4%
대 66
 
1.9%
이 63
 
1.8%
슈 59
 
1.7%
퍼 55
 
1.6%
소 47
 
1.4%
Other values (358) 2588
75.3%
ASCII
ValueCountFrequency (%)
98
28.0%
2 45
12.9%
5 33
 
9.4%
S 32
 
9.1%
G 31
 
8.9%
) 19
 
5.4%
( 19
 
5.4%
C 11
 
3.1%
. 8
 
2.3%
9 6
 
1.7%
Other values (21) 48
13.7%

행정동
Categorical

Distinct15
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
취암동
188 
연무읍
121 
강경읍
71 
부창동
53 
연산면
42 
Other values (10)
172 

Length

Max length4
Median length3
Mean length3.0231839
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노성면
2nd row강경읍
3rd row연무읍
4th row연무읍
5th row연무읍

Common Values

ValueCountFrequency (%)
취암동 188
29.1%
연무읍 121
18.7%
강경읍 71
 
11.0%
부창동 53
 
8.2%
연산면 42
 
6.5%
은진면 36
 
5.6%
양촌면 21
 
3.2%
노성면 19
 
2.9%
성동면 17
 
2.6%
부적면 16
 
2.5%
Other values (5) 63
 
9.7%

Length

2024-01-10T07:07:15.106373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취암동 188
29.1%
연무읍 121
18.7%
강경읍 71
 
11.0%
부창동 53
 
8.2%
연산면 42
 
6.5%
은진면 36
 
5.6%
양촌면 21
 
3.2%
노성면 19
 
2.9%
성동면 17
 
2.6%
부적면 16
 
2.5%
Other values (5) 63
 
9.7%

소재지도로명주소
Text

Distinct487
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-10T07:07:15.293105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length16.247295
Min length1

Characters and Unicode

Total characters10512
Distinct characters126
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique462 ?
Unique (%)71.4%

Sample

1st row
2nd row
3rd row
4th row
5th row충청남도 논산시 연무읍 금곡4길 9-5
ValueCountFrequency (%)
충청남도 517
22.0%
논산시 517
22.0%
연무읍 80
 
3.4%
계백로 50
 
2.1%
강경읍 48
 
2.0%
연산면 33
 
1.4%
안심로 26
 
1.1%
은진면 24
 
1.0%
중앙로 20
 
0.8%
해월로 20
 
0.8%
Other values (549) 1020
43.3%
2024-01-10T07:07:15.591850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1968
18.7%
산 590
 
5.6%
시 558
 
5.3%
논 529
 
5.0%
남 520
 
4.9%
도 519
 
4.9%
충 518
 
4.9%
청 518
 
4.9%
로 473
 
4.5%
1 434
 
4.1%
Other values (116) 3885
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6482
61.7%
Space Separator 1968
 
18.7%
Decimal Number 1928
 
18.3%
Dash Punctuation 134
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 590
 
9.1%
시 558
 
8.6%
논 529
 
8.2%
남 520
 
8.0%
도 519
 
8.0%
충 518
 
8.0%
청 518
 
8.0%
로 473
 
7.3%
길 212
 
3.3%
번 175
 
2.7%
Other values (104) 1870
28.8%
Decimal Number
ValueCountFrequency (%)
1 434
22.5%
2 272
14.1%
3 214
11.1%
4 194
10.1%
0 155
 
8.0%
5 149
 
7.7%
7 145
 
7.5%
8 136
 
7.1%
9 118
 
6.1%
6 111
 
5.8%
Space Separator
ValueCountFrequency (%)
1968
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6482
61.7%
Common 4030
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 590
 
9.1%
시 558
 
8.6%
논 529
 
8.2%
남 520
 
8.0%
도 519
 
8.0%
충 518
 
8.0%
청 518
 
8.0%
로 473
 
7.3%
길 212
 
3.3%
번 175
 
2.7%
Other values (104) 1870
28.8%
Common
ValueCountFrequency (%)
1968
48.8%
1 434
 
10.8%
2 272
 
6.7%
3 214
 
5.3%
4 194
 
4.8%
0 155
 
3.8%
5 149
 
3.7%
7 145
 
3.6%
8 136
 
3.4%
- 134
 
3.3%
Other values (2) 229
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6482
61.7%
ASCII 4030
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1968
48.8%
1 434
 
10.8%
2 272
 
6.7%
3 214
 
5.3%
4 194
 
4.8%
0 155
 
3.8%
5 149
 
3.7%
7 145
 
3.6%
8 136
 
3.4%
- 134
 
3.3%
Other values (2) 229
 
5.7%
Hangul
ValueCountFrequency (%)
산 590
 
9.1%
시 558
 
8.6%
논 529
 
8.2%
남 520
 
8.0%
도 519
 
8.0%
충 518
 
8.0%
청 518
 
8.0%
로 473
 
7.3%
길 212
 
3.3%
번 175
 
2.7%
Other values (104) 1870
28.8%

소재지지번주소
Text

Distinct610
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-10T07:07:15.786186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length19.777434
Min length13

Characters and Unicode

Total characters12796
Distinct characters120
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique581 ?
Unique (%)89.8%

Sample

1st row충청남도 논산시 노성면 가곡리 2리 82
2nd row충청남도 논산시 강경읍 채산리 453
3rd row충청남도 논산시 연무읍 안심리 264
4th row충청남도 논산시 연무읍 금곡리 74-22
5th row충청남도 논산시 연무읍 금곡리 137
ValueCountFrequency (%)
충청남도 647
21.7%
논산시 647
21.7%
연무읍 121
 
4.0%
취암동 80
 
2.7%
강경읍 71
 
2.4%
내동 43
 
1.4%
연산면 42
 
1.4%
안심리 40
 
1.3%
은진면 36
 
1.2%
화지동 31
 
1.0%
Other values (709) 1230
41.2%
2024-01-10T07:07:16.077934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2352
18.4%
산 805
 
6.3%
남 660
 
5.2%
도 654
 
5.1%
청 652
 
5.1%
시 650
 
5.1%
충 648
 
5.1%
논 647
 
5.1%
1 441
 
3.4%
- 434
 
3.4%
Other values (110) 4853
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7674
60.0%
Space Separator 2352
 
18.4%
Decimal Number 2336
 
18.3%
Dash Punctuation 434
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 805
 
10.5%
남 660
 
8.6%
도 654
 
8.5%
청 652
 
8.5%
시 650
 
8.5%
충 648
 
8.4%
논 647
 
8.4%
리 406
 
5.3%
동 296
 
3.9%
면 214
 
2.8%
Other values (98) 2042
26.6%
Decimal Number
ValueCountFrequency (%)
1 441
18.9%
2 335
14.3%
3 283
12.1%
4 221
9.5%
5 195
8.3%
9 190
8.1%
0 172
 
7.4%
7 167
 
7.1%
8 167
 
7.1%
6 165
 
7.1%
Space Separator
ValueCountFrequency (%)
2352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7674
60.0%
Common 5122
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 805
 
10.5%
남 660
 
8.6%
도 654
 
8.5%
청 652
 
8.5%
시 650
 
8.5%
충 648
 
8.4%
논 647
 
8.4%
리 406
 
5.3%
동 296
 
3.9%
면 214
 
2.8%
Other values (98) 2042
26.6%
Common
ValueCountFrequency (%)
2352
45.9%
1 441
 
8.6%
- 434
 
8.5%
2 335
 
6.5%
3 283
 
5.5%
4 221
 
4.3%
5 195
 
3.8%
9 190
 
3.7%
0 172
 
3.4%
7 167
 
3.3%
Other values (2) 332
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7674
60.0%
ASCII 5122
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2352
45.9%
1 441
 
8.6%
- 434
 
8.5%
2 335
 
6.5%
3 283
 
5.5%
4 221
 
4.3%
5 195
 
3.8%
9 190
 
3.7%
0 172
 
3.4%
7 167
 
3.3%
Other values (2) 332
 
6.5%
Hangul
ValueCountFrequency (%)
산 805
 
10.5%
남 660
 
8.6%
도 654
 
8.5%
청 652
 
8.5%
시 650
 
8.5%
충 648
 
8.4%
논 647
 
8.4%
리 406
 
5.3%
동 296
 
3.9%
면 214
 
2.8%
Other values (98) 2042
26.6%

전화번호
Text

Distinct228
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-10T07:07:16.410879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.003091
Min length12

Characters and Unicode

Total characters7766
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

Unique222 ?
Unique (%)34.3%

Sample

1st row000-000-0000
2nd row000-000-0000
3rd row000-000-0000
4th row000-000-0000
5th row000-000-0000
ValueCountFrequency (%)
000-000-0000 398
61.5%
042-878-2902 17
 
2.6%
041-730-5249 4
 
0.6%
041-741-9143 2
 
0.3%
041-745-3191 2
 
0.3%
041-732-6770 2
 
0.3%
041-745-4775 1
 
0.2%
041-735-5836 1
 
0.2%
041-735-2078 1
 
0.2%
041-735-3333 1
 
0.2%
Other values (218) 218
33.7%
2024-01-10T07:07:16.822957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4366
56.2%
- 1294
 
16.7%
4 477
 
6.1%
1 368
 
4.7%
7 340
 
4.4%
3 233
 
3.0%
2 194
 
2.5%
5 166
 
2.1%
8 117
 
1.5%
6 113
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6472
83.3%
Dash Punctuation 1294
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4366
67.5%
4 477
 
7.4%
1 368
 
5.7%
7 340
 
5.3%
3 233
 
3.6%
2 194
 
3.0%
5 166
 
2.6%
8 117
 
1.8%
6 113
 
1.7%
9 98
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 1294
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7766
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4366
56.2%
- 1294
 
16.7%
4 477
 
6.1%
1 368
 
4.7%
7 340
 
4.4%
3 233
 
3.0%
2 194
 
2.5%
5 166
 
2.1%
8 117
 
1.5%
6 113
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7766
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4366
56.2%
- 1294
 
16.7%
4 477
 
6.1%
1 368
 
4.7%
7 340
 
4.4%
3 233
 
3.0%
2 194
 
2.5%
5 166
 
2.1%
8 117
 
1.5%
6 113
 
1.5%

사업자구분
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
개인
380 
201 
법인
66 

Length

Max length2
Median length2
Mean length1.6893354
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 380
58.7%
201
31.1%
법인 66
 
10.2%

Length

2024-01-10T07:07:16.935478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:07:17.012760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 380
85.2%
법인 66
 
14.8%

사업자번호
Text

Distinct288
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-10T07:07:17.213957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length1
Mean length6.2704791
Min length1

Characters and Unicode

Total characters4057
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

Unique285 ?
Unique (%)44.0%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
314-83-03272 20
 
6.5%
308-82-02873 5
 
1.6%
181-81-01632 1
 
0.3%
338-26-00322 1
 
0.3%
385-23-00399 1
 
0.3%
697-14-00645 1
 
0.3%
548-04-00698 1
 
0.3%
684-85-00595 1
 
0.3%
328-09-00672 1
 
0.3%
367-49-00256 1
 
0.3%
Other values (277) 277
89.4%
2024-01-10T07:07:17.549997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 688
17.0%
- 620
15.3%
3 424
10.5%
8 386
9.5%
337
8.3%
1 305
7.5%
2 278
6.9%
4 258
 
6.4%
7 241
 
5.9%
5 208
 
5.1%
Other values (2) 312
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3100
76.4%
Dash Punctuation 620
 
15.3%
Space Separator 337
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 688
22.2%
3 424
13.7%
8 386
12.5%
1 305
9.8%
2 278
9.0%
4 258
 
8.3%
7 241
 
7.8%
5 208
 
6.7%
6 180
 
5.8%
9 132
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 620
100.0%
Space Separator
ValueCountFrequency (%)
337
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4057
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 688
17.0%
- 620
15.3%
3 424
10.5%
8 386
9.5%
337
8.3%
1 305
7.5%
2 278
6.9%
4 258
 
6.4%
7 241
 
5.9%
5 208
 
5.1%
Other values (2) 312
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 688
17.0%
- 620
15.3%
3 424
10.5%
8 386
9.5%
337
8.3%
1 305
7.5%
2 278
6.9%
4 258
 
6.4%
7 241
 
5.9%
5 208
 
5.1%
Other values (2) 312
7.7%

Correlations

2024-01-10T07:07:17.632043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분행정동사업자구분
소매인구분1.0000.1540.437
행정동0.1541.0000.345
사업자구분0.4370.3451.000
2024-01-10T07:07:17.702358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분행정동사업자구분
소매인구분1.0000.0870.430
행정동0.0871.0000.166
사업자구분0.4300.1661.000
2024-01-10T07:07:17.775967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분행정동사업자구분
소매인구분1.0000.0870.430
행정동0.0871.0000.166
사업자구분0.4300.1661.000

Missing values

2024-01-10T07:07:12.652413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:07:12.776649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

지정번호지정일자대표자명소매인구분업소명행정동소재지도로명주소소재지지번주소전화번호사업자구분사업자번호
01970-4540046-05-6-000131970-06-14이원구일반소매인이원구노성면충청남도 논산시 노성면 가곡리 2리 82000-000-0000
11974-4540042-05-6-000061974-07-01조상학일반소매인조상학강경읍충청남도 논산시 강경읍 채산리 453000-000-0000
21974-4540043-05-6-000051974-07-01강현태일반소매인강현태연무읍충청남도 논산시 연무읍 안심리 264000-000-0000
31974-4540043-05-6-000061974-07-01천경순일반소매인천경순연무읍충청남도 논산시 연무읍 금곡리 74-22000-000-0000
41974-4540043-05-6-000071974-07-01박병득일반소매인박병득연무읍충청남도 논산시 연무읍 금곡4길 9-5충청남도 논산시 연무읍 금곡리 137000-000-0000
51974-4540043-05-6-000111974-07-01강순형일반소매인강순형연무읍충청남도 논산시 연무읍 소룡리 474000-000-0000
61974-4540043-05-6-000151974-07-01김기초일반소매인김기초연무읍충청남도 논산시 연무읍 봉동리 1107000-000-0000
71974-4540045-05-6-000011974-07-01이영섭일반소매인신당1리가계광석면충청남도 논산시 광석면 신당리 24041-734-5347
81974-4540053-05-6-000161974-07-01송순예일반소매인송순예은진면충청남도 논산시 은진면 시묘리 663041-741-0483
91974-4540055-05-6-000141974-07-01문은연일반소매인문은연취암동충청남도 논산시 화지동 136000-000-0000
지정번호지정일자대표자명소매인구분업소명행정동소재지도로명주소소재지지번주소전화번호사업자구분사업자번호
6372020-4540195-05-6-000012020-01-06이진이은빛양품연산면충청남도 논산시 연산면 연산5길 4충청남도 논산시 연산면 연산리 345-3000-000-0000개인602-51-61708
6382020-4540195-05-6-000022020-02-17이의진오케이할인마트취암동충청남도 논산시 해월로167번길 8-5충청남도 논산시 반월동 92000-000-0000개인202-01-01713
6392020-4540195-05-6-000032020-02-19박성규로또사랑복권방취암동충청남도 논산시 해월로179번길 10충청남도 논산시 반월동 78-4000-000-0000개인
6402020-4540195-05-6-000042020-02-19서민식포털.닷컴취암동충청남도 논산시 대화로 170충청남도 논산시 화지동 13-1000-000-0000개인627-01-04607
6412020-4540195-05-6-000052020-02-24김미선야채.과일 365할인마트취암동충청남도 논산시 중앙로 261충청남도 논산시 취암동 83-9000-000-0000개인
6422020-4540195-05-6-000062020-02-24전상기오케이마트취암동충청남도 논산시 시민로 337충청남도 논산시 취암동 896000-000-0000개인823-07-01658
6432020-4540195-05-6-000072020-02-27한선주GS25논산대로점부적면충청남도 논산시 부적면 계백로 1513충청남도 논산시 부적면 마구평리 11-33000-000-0000개인645-73-00388
6442020-4540195-05-6-000082020-03-03곽양신마을구판장취암동충청남도 논산시 원앙로 1348충청남도 논산시 관촉동 403-10000-000-0000개인118-44-00571
6452020-4540195-05-6-000092020-03-06전백식미니스톱논산공단점성동면충청남도 논산시 성동면 산업단지로5길 55충청남도 논산시 성동면 원남리 1212-6000-000-0000개인811-33-00636
6462020-4540195-05-6-000102020-03-13하지은대림마트부창동충청남도 논산시 대림길 5충청남도 논산시 부창동 209-4000-000-0000개인619-21-12080