Overview

Dataset statistics

Number of variables6
Number of observations43
Missing cells3
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory51.1 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description충청남도 부여군에 소재하는 음식물쓰레기 다량배출 사업장 현황정보입니다.(사업장명, 소재지 도로명주소, 연락처 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=303&beforeMenuCd=DOM_000000201001001000&publicdatapk=15094791

Alerts

시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 3 (7.0%) missing valuesMissing
업체명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:12:36.271470
Analysis finished2024-01-09 22:12:36.694733
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
부여군
43 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부여군 43
100.0%

Length

2024-01-10T07:12:36.739764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:36.809295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부여군 43
100.0%

운영구분
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
집단급식소
28 
일반음식점
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소
2nd row집단급식소
3rd row집단급식소
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
집단급식소 28
65.1%
일반음식점 15
34.9%

Length

2024-01-10T07:12:36.883173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:36.955595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 28
65.1%
일반음식점 15
34.9%

업체명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-10T07:12:37.125064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length11.55814
Min length3

Characters and Unicode

Total characters497
Distinct characters147
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

Unique43 ?
Unique (%)100.0%

Sample

1st row한국조폐공사제지본부점 (이씨엠디)
2nd row(주)한국인삼공사 고려인삼창
3rd row석양초등학교
4th row롯데쇼핑(주)아울렛 부여점
5th row(주)롯데부여리조트 (ECMD)
ValueCountFrequency (%)
부여점 3
 
4.6%
주)아워홈 2
 
3.1%
부여공장 2
 
3.1%
한국조폐공사제지본부점 1
 
1.5%
홍산초등학교 1
 
1.5%
부여요양병원 1
 
1.5%
삼성웰스토리(주)백제cc 1
 
1.5%
한화호텔앤드리조트(주)부여백제(서천방향)휴게소 1
 
1.5%
백마가든 1
 
1.5%
은산초등학교 1
 
1.5%
Other values (51) 51
78.5%
2024-01-10T07:12:37.416487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
5.8%
28
 
5.6%
22
 
4.4%
) 20
 
4.0%
( 20
 
4.0%
16
 
3.2%
15
 
3.0%
15
 
3.0%
10
 
2.0%
9
 
1.8%
Other values (137) 313
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 420
84.5%
Space Separator 22
 
4.4%
Close Punctuation 20
 
4.0%
Open Punctuation 20
 
4.0%
Uppercase Letter 11
 
2.2%
Math Symbol 2
 
0.4%
Other Symbol 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
6.9%
28
 
6.7%
16
 
3.8%
15
 
3.6%
15
 
3.6%
10
 
2.4%
9
 
2.1%
8
 
1.9%
8
 
1.9%
8
 
1.9%
Other values (123) 274
65.2%
Uppercase Letter
ValueCountFrequency (%)
C 5
45.5%
K 1
 
9.1%
G 1
 
9.1%
M 1
 
9.1%
D 1
 
9.1%
E 1
 
9.1%
S 1
 
9.1%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 421
84.7%
Common 65
 
13.1%
Latin 11
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
6.9%
28
 
6.7%
16
 
3.8%
15
 
3.6%
15
 
3.6%
10
 
2.4%
9
 
2.1%
8
 
1.9%
8
 
1.9%
8
 
1.9%
Other values (124) 275
65.3%
Latin
ValueCountFrequency (%)
C 5
45.5%
K 1
 
9.1%
G 1
 
9.1%
M 1
 
9.1%
D 1
 
9.1%
E 1
 
9.1%
S 1
 
9.1%
Common
ValueCountFrequency (%)
22
33.8%
) 20
30.8%
( 20
30.8%
& 1
 
1.5%
> 1
 
1.5%
< 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 420
84.5%
ASCII 76
 
15.3%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
 
6.9%
28
 
6.7%
16
 
3.8%
15
 
3.6%
15
 
3.6%
10
 
2.4%
9
 
2.1%
8
 
1.9%
8
 
1.9%
8
 
1.9%
Other values (123) 274
65.2%
ASCII
ValueCountFrequency (%)
22
28.9%
) 20
26.3%
( 20
26.3%
C 5
 
6.6%
K 1
 
1.3%
G 1
 
1.3%
M 1
 
1.3%
D 1
 
1.3%
E 1
 
1.3%
S 1
 
1.3%
Other values (3) 3
 
3.9%
None
ValueCountFrequency (%)
1
100.0%
Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-10T07:12:37.612908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length22.744186
Min length17

Characters and Unicode

Total characters978
Distinct characters95
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)90.7%

Sample

1st row충청남도 부여군 규암면 백제문로 400
2nd row충청남도 부여군 규암면 흥수로 846
3rd row충청남도 부여군 석성면 증산로39번길 31
4th row충청남도 부여군 규암면 백제문로 387
5th row충청남도 부여군 규암면 백제문로 400
ValueCountFrequency (%)
충청남도 43
19.5%
부여군 41
18.6%
규암면 15
 
6.8%
부여읍 14
 
6.3%
백제문로 9
 
4.1%
계백로 5
 
2.3%
충절로 4
 
1.8%
400 3
 
1.4%
삼충로 3
 
1.4%
은산면 3
 
1.4%
Other values (68) 81
36.7%
2024-01-10T07:12:37.909136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
18.2%
63
 
6.4%
61
 
6.2%
56
 
5.7%
45
 
4.6%
44
 
4.5%
43
 
4.4%
43
 
4.4%
42
 
4.3%
29
 
3.0%
Other values (85) 374
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
65.5%
Space Separator 178
 
18.2%
Decimal Number 143
 
14.6%
Connector Punctuation 5
 
0.5%
Dash Punctuation 4
 
0.4%
Uppercase Letter 2
 
0.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
 
9.8%
61
 
9.5%
56
 
8.7%
45
 
7.0%
44
 
6.9%
43
 
6.7%
43
 
6.7%
42
 
6.6%
29
 
4.5%
18
 
2.8%
Other values (68) 197
30.7%
Decimal Number
ValueCountFrequency (%)
1 23
16.1%
3 22
15.4%
0 19
13.3%
7 19
13.3%
4 16
11.2%
6 13
9.1%
2 12
8.4%
8 9
 
6.3%
9 5
 
3.5%
5 5
 
3.5%
Space Separator
ValueCountFrequency (%)
178
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 641
65.5%
Common 335
34.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
 
9.8%
61
 
9.5%
56
 
8.7%
45
 
7.0%
44
 
6.9%
43
 
6.7%
43
 
6.7%
42
 
6.6%
29
 
4.5%
18
 
2.8%
Other values (68) 197
30.7%
Common
ValueCountFrequency (%)
178
53.1%
1 23
 
6.9%
3 22
 
6.6%
0 19
 
5.7%
7 19
 
5.7%
4 16
 
4.8%
6 13
 
3.9%
2 12
 
3.6%
8 9
 
2.7%
9 5
 
1.5%
Other values (6) 19
 
5.7%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
65.5%
ASCII 337
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
52.8%
1 23
 
6.8%
3 22
 
6.5%
0 19
 
5.6%
7 19
 
5.6%
4 16
 
4.7%
6 13
 
3.9%
2 12
 
3.6%
8 9
 
2.7%
9 5
 
1.5%
Other values (7) 21
 
6.2%
Hangul
ValueCountFrequency (%)
63
 
9.8%
61
 
9.5%
56
 
8.7%
45
 
7.0%
44
 
6.9%
43
 
6.7%
43
 
6.7%
42
 
6.6%
29
 
4.5%
18
 
2.8%
Other values (68) 197
30.7%

전화번호
Text

MISSING 

Distinct37
Distinct (%)92.5%
Missing3
Missing (%)7.0%
Memory size476.0 B
2024-01-10T07:12:38.084896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025
Min length12

Characters and Unicode

Total characters481
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

Unique34 ?
Unique (%)85.0%

Sample

1st row041-939-1129
2nd row041-830-3250
3rd row041-830-3526
4th row041-939-1129
5th row041-832-1185
ValueCountFrequency (%)
041-830-3358 2
 
5.0%
041-835-3341 2
 
5.0%
041-939-1129 2
 
5.0%
041-837-1200 1
 
2.5%
041-834-2227 1
 
2.5%
041-834-6263 1
 
2.5%
041-835-5502 1
 
2.5%
041-836-9576 1
 
2.5%
041-836-1985 1
 
2.5%
041-832-7261 1
 
2.5%
Other values (27) 27
67.5%
2024-01-10T07:12:38.351876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.6%
0 71
14.8%
3 65
13.5%
1 63
13.1%
4 54
11.2%
8 48
10.0%
2 27
 
5.6%
5 21
 
4.4%
6 21
 
4.4%
9 16
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 401
83.4%
Dash Punctuation 80
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71
17.7%
3 65
16.2%
1 63
15.7%
4 54
13.5%
8 48
12.0%
2 27
 
6.7%
5 21
 
5.2%
6 21
 
5.2%
9 16
 
4.0%
7 15
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 481
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.6%
0 71
14.8%
3 65
13.5%
1 63
13.1%
4 54
11.2%
8 48
10.0%
2 27
 
5.6%
5 21
 
4.4%
6 21
 
4.4%
9 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.6%
0 71
14.8%
3 65
13.5%
1 63
13.1%
4 54
11.2%
8 48
10.0%
2 27
 
5.6%
5 21
 
4.4%
6 21
 
4.4%
9 16
 
3.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2024-01-10T07:12:38.446638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:38.525565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/