Overview

Dataset statistics

Number of variables10
Number of observations59
Missing cells24
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory84.2 B

Variable types

Text5
DateTime2
Categorical1
Numeric2

Dataset

Description충청남도 서산시 방문판매업 현황 데이터입니다. 항목명은 관리번호, 신고일자, 대표자명, 법인또는상호명, 소재지전화번호, 소재지주소, 취급품목, 위도, 경도, 데이터기준일자로 이루어져 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=89&beforeMenuCd=DOM_000000201001001000&publicdatapk=15106171

Alerts

데이터기준일자 has constant value ""Constant
소재지전화번호 has 22 (37.3%) missing valuesMissing
위도 has 1 (1.7%) missing valuesMissing
경도 has 1 (1.7%) missing valuesMissing
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:02:03.440107
Analysis finished2024-01-09 23:02:04.614256
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-01-10T08:02:04.758761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.79661
Min length10

Characters and Unicode

Total characters755
Distinct characters17
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

Unique59 ?
Unique (%)100.0%

Sample

1st row2022-충남서산-0006
2nd row2022-충남서산-0005
3rd row2022-충남서산-0004
4th row2022-충남서산-0003
5th row2022-충남서산-0002
ValueCountFrequency (%)
2022-충남서산-0006 1
 
1.7%
2021-충남서산-002 1
 
1.7%
2018-충남서산-005 1
 
1.7%
2018-충남서산-004 1
 
1.7%
2018-충남서산-003 1
 
1.7%
2018-충남서산-002 1
 
1.7%
2017-충남서산-010 1
 
1.7%
2017-충남서산-008 1
 
1.7%
2017-충남서산-007 1
 
1.7%
2017-충남서산-006 1
 
1.7%
Other values (50) 50
83.3%
2024-01-10T08:02:05.083841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 184
24.4%
- 113
15.0%
2 96
12.7%
1 64
 
8.5%
서 56
 
7.4%
산 56
 
7.4%
남 54
 
7.2%
충 54
 
7.2%
8 14
 
1.9%
7 13
 
1.7%
Other values (7) 51
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 419
55.5%
Other Letter 222
29.4%
Dash Punctuation 113
 
15.0%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 184
43.9%
2 96
22.9%
1 64
 
15.3%
8 14
 
3.3%
7 13
 
3.1%
6 12
 
2.9%
9 12
 
2.9%
3 9
 
2.1%
5 9
 
2.1%
4 6
 
1.4%
Other Letter
ValueCountFrequency (%)
서 56
25.2%
산 56
25.2%
남 54
24.3%
충 54
24.3%
호 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 533
70.6%
Hangul 222
29.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 184
34.5%
- 113
21.2%
2 96
18.0%
1 64
 
12.0%
8 14
 
2.6%
7 13
 
2.4%
6 12
 
2.3%
9 12
 
2.3%
3 9
 
1.7%
5 9
 
1.7%
Other values (2) 7
 
1.3%
Hangul
ValueCountFrequency (%)
서 56
25.2%
산 56
25.2%
남 54
24.3%
충 54
24.3%
호 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 533
70.6%
Hangul 222
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 184
34.5%
- 113
21.2%
2 96
18.0%
1 64
 
12.0%
8 14
 
2.6%
7 13
 
2.4%
6 12
 
2.3%
9 12
 
2.3%
3 9
 
1.7%
5 9
 
1.7%
Other values (2) 7
 
1.3%
Hangul
ValueCountFrequency (%)
서 56
25.2%
산 56
25.2%
남 54
24.3%
충 54
24.3%
호 2
 
0.9%

신고일자
Date

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum1996-11-13 00:00:00
Maximum2022-08-04 00:00:00
2024-01-10T08:02:05.209887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:02:05.332088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표자명
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-01-10T08:02:05.540694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0508475
Min length2

Characters and Unicode

Total characters180
Distinct characters91
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row차윤선
2nd row김정현
3rd row강산옥
4th row김진용
5th row박세헌
ValueCountFrequency (%)
김순남 2
 
3.4%
인서연 1
 
1.7%
유현곤 1
 
1.7%
차기정 1
 
1.7%
민경갑 1
 
1.7%
박선영 1
 
1.7%
최기중 1
 
1.7%
김성태 1
 
1.7%
신수경 1
 
1.7%
김성래 1
 
1.7%
Other values (48) 48
81.4%
2024-01-10T08:02:05.867198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
7.2%
현 8
 
4.4%
박 7
 
3.9%
이 7
 
3.9%
수 6
 
3.3%
최 6
 
3.3%
영 5
 
2.8%
유 5
 
2.8%
정 5
 
2.8%
옥 3
 
1.7%
Other values (81) 115
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
99.4%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
7.3%
현 8
 
4.5%
박 7
 
3.9%
이 7
 
3.9%
수 6
 
3.4%
최 6
 
3.4%
영 5
 
2.8%
유 5
 
2.8%
정 5
 
2.8%
옥 3
 
1.7%
Other values (80) 114
63.7%
Other Punctuation
ValueCountFrequency (%)
， 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
7.3%
현 8
 
4.5%
박 7
 
3.9%
이 7
 
3.9%
수 6
 
3.4%
최 6
 
3.4%
영 5
 
2.8%
유 5
 
2.8%
정 5
 
2.8%
옥 3
 
1.7%
Other values (80) 114
63.7%
Common
ValueCountFrequency (%)
， 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
99.4%
None 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
7.3%
현 8
 
4.5%
박 7
 
3.9%
이 7
 
3.9%
수 6
 
3.4%
최 6
 
3.4%
영 5
 
2.8%
유 5
 
2.8%
정 5
 
2.8%
옥 3
 
1.7%
Other values (80) 114
63.7%
None
ValueCountFrequency (%)
， 1
100.0%

법인또는상호명
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-01-10T08:02:06.125412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length9.2711864
Min length3

Characters and Unicode

Total characters547
Distinct characters199
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

Unique57 ?
Unique (%)96.6%

Sample

1st row종근당건강 헬스벨스토리 서산동문점
2nd row오늘the예쁨
3rd row강산레져스포츠산업
4th row중앙보청기의료기기 충남본부
5th row뉴톤보청기충남지사
ValueCountFrequency (%)
서산점 3
 
3.3%
서산대리점 3
 
3.3%
알즈너 2
 
2.2%
주식회사 2
 
2.2%
뉴랜드올네이처 2
 
2.2%
서산 2
 
2.2%
서산지점 2
 
2.2%
신나라정보통신 1
 
1.1%
가정우유대리점 1
 
1.1%
남양 1
 
1.1%
Other values (73) 73
79.3%
2024-01-10T08:02:06.493757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
6.0%
서 28
 
5.1%
산 26
 
4.8%
리 16
 
2.9%
점 16
 
2.9%
이 14
 
2.6%
사 13
 
2.4%
스 12
 
2.2%
대 11
 
2.0%
기 9
 
1.6%
Other values (189) 369
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
86.8%
Space Separator 33
 
6.0%
Lowercase Letter 19
 
3.5%
Close Punctuation 7
 
1.3%
Open Punctuation 7
 
1.3%
Uppercase Letter 4
 
0.7%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 28
 
5.9%
산 26
 
5.5%
리 16
 
3.4%
점 16
 
3.4%
이 14
 
2.9%
사 13
 
2.7%
스 12
 
2.5%
대 11
 
2.3%
기 9
 
1.9%
지 9
 
1.9%
Other values (170) 321
67.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
31.6%
i 2
 
10.5%
l 2
 
10.5%
n 2
 
10.5%
f 1
 
5.3%
g 1
 
5.3%
b 1
 
5.3%
w 1
 
5.3%
r 1
 
5.3%
h 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
L 1
25.0%
W 1
25.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
86.8%
Common 49
 
9.0%
Latin 23
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 28
 
5.9%
산 26
 
5.5%
리 16
 
3.4%
점 16
 
3.4%
이 14
 
2.9%
사 13
 
2.7%
스 12
 
2.5%
대 11
 
2.3%
기 9
 
1.9%
지 9
 
1.9%
Other values (170) 321
67.6%
Latin
ValueCountFrequency (%)
e 6
26.1%
i 2
 
8.7%
l 2
 
8.7%
G 2
 
8.7%
n 2
 
8.7%
f 1
 
4.3%
L 1
 
4.3%
g 1
 
4.3%
b 1
 
4.3%
w 1
 
4.3%
Other values (4) 4
17.4%
Common
ValueCountFrequency (%)
33
67.3%
) 7
 
14.3%
( 7
 
14.3%
- 1
 
2.0%
. 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
86.8%
ASCII 72
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
45.8%
) 7
 
9.7%
( 7
 
9.7%
e 6
 
8.3%
i 2
 
2.8%
l 2
 
2.8%
G 2
 
2.8%
n 2
 
2.8%
f 1
 
1.4%
L 1
 
1.4%
Other values (9) 9
 
12.5%
Hangul
ValueCountFrequency (%)
서 28
 
5.9%
산 26
 
5.5%
리 16
 
3.4%
점 16
 
3.4%
이 14
 
2.9%
사 13
 
2.7%
스 12
 
2.5%
대 11
 
2.3%
기 9
 
1.9%
지 9
 
1.9%
Other values (170) 321
67.6%

소재지전화번호
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing22
Missing (%)37.3%
Memory size604.0 B
2024-01-10T08:02:06.692558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters444
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

Unique37 ?
Unique (%)100.0%

Sample

1st row041-665-2022
2nd row041-681-9275
3rd row041-920-2963
4th row041-667-8516
5th row041-920-2592
ValueCountFrequency (%)
041-667-2667 1
 
2.7%
041-669-8081 1
 
2.7%
041-668-7477 1
 
2.7%
041-669-7879 1
 
2.7%
041-664-6304 1
 
2.7%
041-664-6161 1
 
2.7%
041-662-9103 1
 
2.7%
041-663-3005 1
 
2.7%
041-681-8680 1
 
2.7%
041-666-5543 1
 
2.7%
Other values (27) 27
73.0%
2024-01-10T08:02:07.023104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 75
16.9%
- 74
16.7%
0 69
15.5%
1 57
12.8%
4 45
10.1%
2 27
 
6.1%
5 25
 
5.6%
7 22
 
5.0%
8 22
 
5.0%
9 15
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 370
83.3%
Dash Punctuation 74
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 75
20.3%
0 69
18.6%
1 57
15.4%
4 45
12.2%
2 27
 
7.3%
5 25
 
6.8%
7 22
 
5.9%
8 22
 
5.9%
9 15
 
4.1%
3 13
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 75
16.9%
- 74
16.7%
0 69
15.5%
1 57
12.8%
4 45
10.1%
2 27
 
6.1%
5 25
 
5.6%
7 22
 
5.0%
8 22
 
5.0%
9 15
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 75
16.9%
- 74
16.7%
0 69
15.5%
1 57
12.8%
4 45
10.1%
2 27
 
6.1%
5 25
 
5.6%
7 22
 
5.0%
8 22
 
5.0%
9 15
 
3.4%

소재지주소
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-01-10T08:02:07.280776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length28.084746
Min length19

Characters and Unicode

Total characters1657
Distinct characters116
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row충청남도 서산시 고운로 164， 1층 (동문동)
2nd row충청남도 서산시 율지16로 27， 태헌빌딩 3층 (동문동)
3rd row충청남도 서산시 운산면 운암로 886， 102동 307호 (서정운산마을아파트)
4th row충청남도 서산시 학동9로 4， 1층 (동문동)
5th row충청남도 서산시 고운로 200， 102호 (동문동)
ValueCountFrequency (%)
충청남도 59
 
16.4%
서산시 59
 
16.4%
동문동 25
 
6.9%
1층 10
 
2.8%
고운로 8
 
2.2%
석림동 5
 
1.4%
읍내동 5
 
1.4%
3층 4
 
1.1%
동문동， 4
 
1.1%
서해로 4
 
1.1%
Other values (144) 177
49.2%
2024-01-10T08:02:07.645234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
301
 
18.2%
동 94
 
5.7%
서 73
 
4.4%
1 66
 
4.0%
산 66
 
4.0%
시 60
 
3.6%
충 59
 
3.6%
남 59
 
3.6%
도 59
 
3.6%
청 59
 
3.6%
Other values (106) 761
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 939
56.7%
Space Separator 301
 
18.2%
Decimal Number 268
 
16.2%
Close Punctuation 50
 
3.0%
Open Punctuation 50
 
3.0%
Other Punctuation 44
 
2.7%
Dash Punctuation 4
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 94
 
10.0%
서 73
 
7.8%
산 66
 
7.0%
시 60
 
6.4%
충 59
 
6.3%
남 59
 
6.3%
도 59
 
6.3%
청 59
 
6.3%
로 51
 
5.4%
문 29
 
3.1%
Other values (90) 330
35.1%
Decimal Number
ValueCountFrequency (%)
1 66
24.6%
2 40
14.9%
3 38
14.2%
0 33
12.3%
6 21
 
7.8%
4 19
 
7.1%
7 18
 
6.7%
5 15
 
5.6%
9 11
 
4.1%
8 7
 
2.6%
Space Separator
ValueCountFrequency (%)
301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
， 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 939
56.7%
Common 717
43.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 94
 
10.0%
서 73
 
7.8%
산 66
 
7.0%
시 60
 
6.4%
충 59
 
6.3%
남 59
 
6.3%
도 59
 
6.3%
청 59
 
6.3%
로 51
 
5.4%
문 29
 
3.1%
Other values (90) 330
35.1%
Common
ValueCountFrequency (%)
301
42.0%
1 66
 
9.2%
) 50
 
7.0%
( 50
 
7.0%
， 44
 
6.1%
2 40
 
5.6%
3 38
 
5.3%
0 33
 
4.6%
6 21
 
2.9%
4 19
 
2.6%
Other values (5) 55
 
7.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 939
56.7%
ASCII 674
40.7%
None 44
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
301
44.7%
1 66
 
9.8%
) 50
 
7.4%
( 50
 
7.4%
2 40
 
5.9%
3 38
 
5.6%
0 33
 
4.9%
6 21
 
3.1%
4 19
 
2.8%
7 18
 
2.7%
Other values (5) 38
 
5.6%
Hangul
ValueCountFrequency (%)
동 94
 
10.0%
서 73
 
7.8%
산 66
 
7.0%
시 60
 
6.4%
충 59
 
6.3%
남 59
 
6.3%
도 59
 
6.3%
청 59
 
6.3%
로 51
 
5.4%
문 29
 
3.1%
Other values (90) 330
35.1%
None
ValueCountFrequency (%)
， 44
100.0%

취급품목
Categorical

Distinct22
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
기타
18 
건강식품
6 
건강식품 화장품/미용용품
4 
건강식품 화장품/미용용품 생활용품/세제류
4 
교육/도서
4 
Other values (17)
23 

Length

Max length28
Median length19
Mean length7.8983051
Min length2

Unique

Unique12 ?
Unique (%)20.3%

Sample

1st row건강식품 화장품/미용용품
2nd row건강식품 화장품/미용용품 생활용품/세제류
3rd row기타
4th row기타
5th row가전

Common Values

ValueCountFrequency (%)
기타 18
30.5%
건강식품 6
 
10.2%
건강식품 화장품/미용용품 4
 
6.8%
건강식품 화장품/미용용품 생활용품/세제류 4
 
6.8%
교육/도서 4
 
6.8%
자동차/자동차용품 3
 
5.1%
화장품/미용용품 2
 
3.4%
기타 자동차/자동차용품 2
 
3.4%
건강식품 기타 2
 
3.4%
통신기기 2
 
3.4%
Other values (12) 12
20.3%

Length

2024-01-10T08:02:08.077653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 25
28.1%
건강식품 19
21.3%
화장품/미용용품 14
15.7%
생활용품/세제류 10
 
11.2%
교육/도서 5
 
5.6%
자동차/자동차용품 5
 
5.6%
통신기기 4
 
4.5%
가전 3
 
3.4%
컴퓨터/사무용품 2
 
2.2%
의류/패션 2
 
2.2%

위도
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)96.6%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean36.780546
Minimum36.690716
Maximum36.942736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-01-10T08:02:08.197313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.690716
5-th percentile36.715038
Q136.776691
median36.780457
Q336.78466
95-th percentile36.812505
Maximum36.942736
Range0.25202071
Interquartile range (IQR)0.00796925

Descriptive statistics

Standard deviation0.030913273
Coefficient of variation (CV)0.00084047888
Kurtosis14.519397
Mean36.780546
Median Absolute Deviation (MAD)0.00418659
Skewness1.7908893
Sum2133.2717
Variance0.00095563042
MonotonicityNot monotonic
2024-01-10T08:02:08.341572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.77492726 2
 
3.4%
36.78580196 2
 
3.4%
36.78337009 1
 
1.7%
36.79045084 1
 
1.7%
36.77424095 1
 
1.7%
36.7836362 1
 
1.7%
36.7778287 1
 
1.7%
36.7725706 1
 
1.7%
36.78572089 1
 
1.7%
36.77485121 1
 
1.7%
Other values (46) 46
78.0%
ValueCountFrequency (%)
36.69071573 1
1.7%
36.71213784 1
1.7%
36.71490688 1
1.7%
36.71506095 1
1.7%
36.76944841 1
1.7%
36.77196692 1
1.7%
36.77206561 1
1.7%
36.7725706 1
1.7%
36.77298764 1
1.7%
36.77373503 1
1.7%
ValueCountFrequency (%)
36.94273644 1
1.7%
36.83654201 1
1.7%
36.81663931 1
1.7%
36.81177508 1
1.7%
36.79137248 1
1.7%
36.79045084 1
1.7%
36.79041615 1
1.7%
36.78940513 1
1.7%
36.78889321 1
1.7%
36.78693784 1
1.7%

경도
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)96.6%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean126.46685
Minimum126.3675
Maximum126.58696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-01-10T08:02:08.465013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3675
5-th percentile126.44074
Q1126.45303
median126.45988
Q3126.46517
95-th percentile126.54802
Maximum126.58696
Range0.2194687
Interquartile range (IQR)0.012143025

Descriptive statistics

Standard deviation0.034543159
Coefficient of variation (CV)0.00027314002
Kurtosis4.4144968
Mean126.46685
Median Absolute Deviation (MAD)0.00624875
Skewness1.4921159
Sum7335.0774
Variance0.0011932298
MonotonicityNot monotonic
2024-01-10T08:02:08.614258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4631333 2
 
3.4%
126.454869 2
 
3.4%
126.453441 1
 
1.7%
126.5244719 1
 
1.7%
126.4460851 1
 
1.7%
126.4528942 1
 
1.7%
126.4488393 1
 
1.7%
126.4650534 1
 
1.7%
126.3674962 1
 
1.7%
126.4629334 1
 
1.7%
Other values (46) 46
78.0%
ValueCountFrequency (%)
126.3674962 1
1.7%
126.424023 1
1.7%
126.4288139 1
1.7%
126.442841 1
1.7%
126.4457865 1
1.7%
126.4460851 1
1.7%
126.4468667 1
1.7%
126.4475658 1
1.7%
126.4488393 1
1.7%
126.4506035 1
1.7%
ValueCountFrequency (%)
126.5869649 1
1.7%
126.5665778 1
1.7%
126.5480752 1
1.7%
126.5480091 1
1.7%
126.5460687 1
1.7%
126.5244719 1
1.7%
126.5136358 1
1.7%
126.4739914 1
1.7%
126.4717652 1
1.7%
126.4701658 1
1.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2022-10-13 00:00:00
Maximum2022-10-13 00:00:00
2024-01-10T08:02:08.735195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:02:08.844675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T08:02:04.189219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:02:04.050048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:02:04.257126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:02:04.121332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:02:08.915122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호신고일자대표자명법인또는상호명소재지전화번호소재지주소취급품목위도경도
관리번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
신고일자1.0001.0000.9970.9971.0000.9970.9861.0001.000
대표자명1.0000.9971.0001.0001.0001.0001.0001.0001.000
법인또는상호명1.0000.9971.0001.0001.0001.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소1.0000.9971.0001.0001.0001.0001.0001.0001.000
취급품목1.0000.9861.0001.0001.0001.0001.0000.0000.000
위도1.0001.0001.0001.0001.0001.0000.0001.0000.817
경도1.0001.0001.0001.0001.0001.0000.0000.8171.000
2024-01-10T08:02:09.019720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도취급품목
위도1.000-0.1310.000
경도-0.1311.0000.000
취급품목0.0000.0001.000

Missing values

2024-01-10T08:02:04.348332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:02:04.471072image/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.
2024-01-10T08:02:04.562928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

관리번호신고일자대표자명법인또는상호명소재지전화번호소재지주소취급품목위도경도데이터기준일자
02022-충남서산-00062022-08-04차윤선종근당건강 헬스벨스토리 서산동문점041-665-2022충청남도 서산시 고운로 164， 1층 (동문동)건강식품 화장품/미용용품36.78337126.4534412022-10-13
12022-충남서산-00052022-05-27김정현오늘the예쁨<NA>충청남도 서산시 율지16로 27， 태헌빌딩 3층 (동문동)건강식품 화장품/미용용품 생활용품/세제류36.779386126.462752022-10-13
22022-충남서산-00042022-05-18강산옥강산레져스포츠산업<NA>충청남도 서산시 운산면 운암로 886， 102동 307호 (서정운산마을아파트)기타36.811775126.5665782022-10-13
32022-충남서산-00032022-04-27김진용중앙보청기의료기기 충남본부<NA>충청남도 서산시 학동9로 4， 1층 (동문동)기타36.786519126.4596052022-10-13
42022-충남서산-00022022-02-11박세헌뉴톤보청기충남지사041-681-9275충청남도 서산시 고운로 200， 102호 (동문동)가전36.783455126.4575592022-10-13
52022-충남서산-00012020-11-06박상현청명 홀딩스<NA>충청남도 서산시 안견로 200， 서산메디칼빌딩 701호 (동문동)건강식품 화장품/미용용품 생활용품/세제류 의류/패션36.780475126.4591012022-10-13
62021-충남서산-0162021-11-29강주홍서산출판사<NA>충청남도 서산시 양유정6길 19-1(읍내동)교육/도서36.782218126.4468672022-10-13
72021-충남서산-0142021-10-06김순남알즈너<NA>충청남도 서산시 서령로 36， 103동 1301호 (동문동， 동문동 한성필하우스)기타36.785802126.4548692022-10-13
82021-충남서산-0132021-09-01최재영(주)더좋은환경산업041-920-2963충청남도 서산시 학동2로 40， 1층 (동문동)통신기기36.790416126.4599052022-10-13
92021-충남서산-0122021-08-12이정애비엠헬스케어한국레이저의료기 서산지점<NA>충청남도 서산시 고운로 203， 2층 (동문동)기타36.783942126.4581832022-10-13
관리번호신고일자대표자명법인또는상호명소재지전화번호소재지주소취급품목위도경도데이터기준일자
492011-충남서산-082011-08-17이귀형광동제약(주)부흥상사<NA>충청남도 서산시 해미면 해운로 37건강식품36.715061126.5480752022-10-13
502011-충남서산-062011-05-25허은옥웰빙바이오<NA>충청남도 서산시 음암로 499 서산수림미소가아파트 109동 1201호건강식품 화장품/미용용품 생활용품/세제류<NA><NA>2022-10-13
512011-충남서산-0012011-01-03오수영오르다코리아041-668-0554충청남도 서산시 중앙로 107， 1층 (동문동)교육/도서36.777386126.4615872022-10-13
522010-충남서산-0062010-07-01유용두(주)다인투어<NA>충청남도 서산시 중앙로 109， 우정빌딩 3층 301호 (동문동)기타36.777297126.4617032022-10-13
53서산 2005-4호2005-03-04김순남알즈너041-668-5316충청남도 서산시 서령로 36， 103동 1301호 (동문동， 동문동 한성필하우스)기타36.785802126.4548692022-10-13
542003-000572003-12-12강정임동화스터디041-662-1852충청남도 서산시 서령로 113， 3층 (동문동)기타36.791372126.4598652022-10-13
552001-충남서산-0292001-01-15최관호쌍용자동차서산판매대리점041-664-0011충청남도 서산시 중앙로 119 (석림동)기타36.776687126.4626342022-10-13
56서산2000-27호2000-05-31김현수기아한서대리점041-668-2031충청남도 서산시 서해로 3574(잠홍동)기타 자동차/자동차용품36.78044126.4700992022-10-13
571999-000211999-03-31유현곤기아서령대리점041-668-2100충청남도 서산시 호수공원2로 5 (읍내동)기타 자동차/자동차용품36.7767126.4457862022-10-13
581996-000051996-11-13노승남쉐보레 서산대리점041-667-0600충청남도 서산시 동서1로 4-3 (석림동)자동차/자동차용품36.772988126.466722022-10-13