Overview

Dataset statistics

Number of variables5
Number of observations120
Missing cells4
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory41.1 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description부산광역시 영도구 관내에 위치한 사업장 중 폐기물 배출업소 현황(폐기물 유형, 업소명, 소재지, 대표자, 전화번호, 비고, 기준일자)
Author부산광역시 영도구
URLhttps://www.data.go.kr/data/15039877/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 4 (3.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 01:08:11.723501
Analysis finished2023-12-12 01:08:12.641922
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
사업장 폐기물
58 
지정 폐기물
31 
의료 폐기물
31 

Length

Max length7
Median length6
Mean length6.4833333
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업장 폐기물
2nd row사업장 폐기물
3rd row사업장 폐기물
4th row사업장 폐기물
5th row사업장 폐기물

Common Values

ValueCountFrequency (%)
사업장 폐기물 58
48.3%
지정 폐기물 31
25.8%
의료 폐기물 31
25.8%

Length

2023-12-12T10:08:12.709523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:12.834918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물 120
50.0%
사업장 58
24.2%
지정 31
 
12.9%
의료 31
 
12.9%

업소명
Text

Distinct99
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T10:08:13.055810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.925
Min length4

Characters and Unicode

Total characters951
Distinct characters195
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

Unique80 ?
Unique (%)66.7%

Sample

1st row한국해양대학교
2nd row의료법인 행도의료재단 해동병원
3rd row대선조선㈜
4th row㈜HJ중공업
5th row선진조선㈜ 1공장
ValueCountFrequency (%)
한국해양과학기술원 3
 
2.1%
㈜케이오씨종합환경 3
 
2.1%
의료법인 3
 
2.1%
㈜다원마린 2
 
1.4%
주식회사 2
 
1.4%
의원 2
 
1.4%
한국해양대학교 2
 
1.4%
㈜태창마린 2
 
1.4%
제6339부대 2
 
1.4%
에스병원(s병원 2
 
1.4%
Other values (105) 118
83.7%
2023-12-12T10:08:13.466714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 57
 
6.0%
원 42
 
4.4%
의 27
 
2.8%
22
 
2.3%
선 21
 
2.2%
경 20
 
2.1%
산 20
 
2.1%
영 18
 
1.9%
양 17
 
1.8%
해 16
 
1.7%
Other values (185) 691
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 831
87.4%
Other Symbol 57
 
6.0%
Space Separator 22
 
2.3%
Decimal Number 12
 
1.3%
Close Punctuation 11
 
1.2%
Open Punctuation 10
 
1.1%
Uppercase Letter 6
 
0.6%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 42
 
5.1%
의 27
 
3.2%
선 21
 
2.5%
경 20
 
2.4%
산 20
 
2.4%
영 18
 
2.2%
양 17
 
2.0%
해 16
 
1.9%
사 16
 
1.9%
부 16
 
1.9%
Other values (170) 618
74.4%
Decimal Number
ValueCountFrequency (%)
3 4
33.3%
9 3
25.0%
6 2
16.7%
1 2
16.7%
2 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
K 1
 
16.7%
H 1
 
16.7%
J 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
e 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 57
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 888
93.4%
Common 55
 
5.8%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 57
 
6.4%
원 42
 
4.7%
의 27
 
3.0%
선 21
 
2.4%
경 20
 
2.3%
산 20
 
2.3%
영 18
 
2.0%
양 17
 
1.9%
해 16
 
1.8%
사 16
 
1.8%
Other values (171) 634
71.4%
Common
ValueCountFrequency (%)
22
40.0%
) 11
20.0%
( 10
18.2%
3 4
 
7.3%
9 3
 
5.5%
6 2
 
3.6%
1 2
 
3.6%
2 1
 
1.8%
Latin
ValueCountFrequency (%)
S 3
37.5%
i 1
 
12.5%
e 1
 
12.5%
K 1
 
12.5%
H 1
 
12.5%
J 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 831
87.4%
ASCII 63
 
6.6%
None 57
 
6.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 57
100.0%
Hangul
ValueCountFrequency (%)
원 42
 
5.1%
의 27
 
3.2%
선 21
 
2.5%
경 20
 
2.4%
산 20
 
2.4%
영 18
 
2.2%
양 17
 
2.0%
해 16
 
1.9%
사 16
 
1.9%
부 16
 
1.9%
Other values (170) 618
74.4%
ASCII
ValueCountFrequency (%)
22
34.9%
) 11
17.5%
( 10
15.9%
3 4
 
6.3%
S 3
 
4.8%
9 3
 
4.8%
6 2
 
3.2%
1 2
 
3.2%
i 1
 
1.6%
e 1
 
1.6%
Other values (4) 4
 
6.3%

소재지(배출지)
Text

Distinct104
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T10:08:13.771232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length28.733333
Min length17

Characters and Unicode

Total characters3448
Distinct characters133
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

Unique90 ?
Unique (%)75.0%

Sample

1st row부산광역시 영도구 태종로 727(동삼동)
2nd row부산광역시 영도구 태종로 133, 본관 지하1층 구매과(봉래동3가 37)
3rd row부산광역시 영도구 봉래나루로 254(봉래동4가 12-2)
4th row부산광역시 영도구 태종로 233(봉래동5가 29)
5th row부산광역시 영도구 대평남로51번길 14(대평동2가 13-1)
ValueCountFrequency (%)
부산광역시 120
20.5%
영도구 116
19.8%
태종로 22
 
3.8%
해양로 15
 
2.6%
8
 
1.4%
동삼로 8
 
1.4%
물양장 7
 
1.2%
절영로 6
 
1.0%
태종로83번길 5
 
0.9%
봉래나루로 5
 
0.9%
Other values (199) 273
46.7%
2023-12-12T10:08:14.274142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
 
13.6%
동 167
 
4.8%
영 136
 
3.9%
부 123
 
3.6%
1 123
 
3.6%
광 122
 
3.5%
시 122
 
3.5%
구 122
 
3.5%
산 122
 
3.5%
로 121
 
3.5%
Other values (123) 1822
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2083
60.4%
Decimal Number 572
 
16.6%
Space Separator 468
 
13.6%
Close Punctuation 119
 
3.5%
Open Punctuation 119
 
3.5%
Other Punctuation 61
 
1.8%
Dash Punctuation 24
 
0.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 167
 
8.0%
영 136
 
6.5%
부 123
 
5.9%
광 122
 
5.9%
시 122
 
5.9%
구 122
 
5.9%
산 122
 
5.9%
로 121
 
5.8%
역 120
 
5.8%
도 120
 
5.8%
Other values (104) 808
38.8%
Decimal Number
ValueCountFrequency (%)
1 123
21.5%
2 99
17.3%
3 87
15.2%
5 59
10.3%
0 44
 
7.7%
4 41
 
7.2%
7 34
 
5.9%
8 30
 
5.2%
6 29
 
5.1%
9 26
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 118
99.2%
] 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 118
99.2%
[ 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 52
85.2%
: 9
 
14.8%
Space Separator
ValueCountFrequency (%)
468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2083
60.4%
Common 1363
39.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 167
 
8.0%
영 136
 
6.5%
부 123
 
5.9%
광 122
 
5.9%
시 122
 
5.9%
구 122
 
5.9%
산 122
 
5.9%
로 121
 
5.8%
역 120
 
5.8%
도 120
 
5.8%
Other values (104) 808
38.8%
Common
ValueCountFrequency (%)
468
34.3%
1 123
 
9.0%
) 118
 
8.7%
( 118
 
8.7%
2 99
 
7.3%
3 87
 
6.4%
5 59
 
4.3%
, 52
 
3.8%
0 44
 
3.2%
4 41
 
3.0%
Other values (8) 154
 
11.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2083
60.4%
ASCII 1365
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
468
34.3%
1 123
 
9.0%
) 118
 
8.6%
( 118
 
8.6%
2 99
 
7.3%
3 87
 
6.4%
5 59
 
4.3%
, 52
 
3.8%
0 44
 
3.2%
4 41
 
3.0%
Other values (9) 156
 
11.4%
Hangul
ValueCountFrequency (%)
동 167
 
8.0%
영 136
 
6.5%
부 123
 
5.9%
광 122
 
5.9%
시 122
 
5.9%
구 122
 
5.9%
산 122
 
5.9%
로 121
 
5.8%
역 120
 
5.8%
도 120
 
5.8%
Other values (104) 808
38.8%

전화번호
Text

MISSING 

Distinct93
Distinct (%)80.2%
Missing4
Missing (%)3.3%
Memory size1.1 KiB
2023-12-12T10:08:14.900144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1392
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

Unique74 ?
Unique (%)63.8%

Sample

1st row051-410-5154
2nd row051-410-6675
3rd row051-419-5074
4th row051-410-3673
5th row051-414-8885
ValueCountFrequency (%)
051-414-8885 3
 
2.6%
051-418-2311 3
 
2.6%
051-403-0702 3
 
2.6%
051-664-9101 3
 
2.6%
051-412-0769 2
 
1.7%
051-405-8500 2
 
1.7%
051-403-9971 2
 
1.7%
051-418-2272 2
 
1.7%
051-231-8556 2
 
1.7%
051-412-4424 2
 
1.7%
Other values (83) 92
79.3%
2023-12-12T10:08:15.328513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 253
18.2%
1 250
18.0%
- 232
16.7%
5 178
12.8%
4 161
11.6%
2 63
 
4.5%
7 61
 
4.4%
3 53
 
3.8%
9 50
 
3.6%
8 47
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1160
83.3%
Dash Punctuation 232
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 253
21.8%
1 250
21.6%
5 178
15.3%
4 161
13.9%
2 63
 
5.4%
7 61
 
5.3%
3 53
 
4.6%
9 50
 
4.3%
8 47
 
4.1%
6 44
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 253
18.2%
1 250
18.0%
- 232
16.7%
5 178
12.8%
4 161
11.6%
2 63
 
4.5%
7 61
 
4.4%
3 53
 
3.8%
9 50
 
3.6%
8 47
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 253
18.2%
1 250
18.0%
- 232
16.7%
5 178
12.8%
4 161
11.6%
2 63
 
4.5%
7 61
 
4.4%
3 53
 
3.8%
9 50
 
3.6%
8 47
 
3.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-09-14 00:00:00
Maximum2023-09-14 00:00:00
2023-12-12T10:08:15.477669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:15.602684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T10:08:15.708153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업소명전화번호
구분1.0000.0000.000
업소명0.0001.0001.000
전화번호0.0001.0001.000

Missing values

2023-12-12T10:08:12.497080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:08:12.601695image/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

구분업소명소재지(배출지)전화번호데이터기준일자
0사업장 폐기물한국해양대학교부산광역시 영도구 태종로 727(동삼동)051-410-51542023-09-14
1사업장 폐기물의료법인 행도의료재단 해동병원부산광역시 영도구 태종로 133, 본관 지하1층 구매과(봉래동3가 37)051-410-66752023-09-14
2사업장 폐기물대선조선㈜부산광역시 영도구 봉래나루로 254(봉래동4가 12-2)051-419-50742023-09-14
3사업장 폐기물㈜HJ중공업부산광역시 영도구 태종로 233(봉래동5가 29)051-410-36732023-09-14
4사업장 폐기물선진조선㈜ 1공장부산광역시 영도구 대평남로51번길 14(대평동2가 13-1)051-414-88852023-09-14
5사업장 폐기물경남조선㈜부산광역시 영도구 봉래나루로 285(봉래동4가 7)051-416-91842023-09-14
6사업장 폐기물㈜해광조선 구)바이칼부산광역시 영도구 대평남로 65(대평동2가 3)051-416-39652023-09-14
7사업장 폐기물남일환경산업부산광역시 영도구 해양로 155(청학2동 1-54)051-403-66772023-09-14
8사업장 폐기물홈플러스㈜영도점부산광역시 영도구 대교로14번길57(봉래동2가151-1)051-419-80002023-09-14
9사업장 폐기물㈜제원산업부산광역시 영도구 태종로 47(대교동1가 39)051-412-07692023-09-14
구분업소명소재지(배출지)전화번호데이터기준일자
110의료 폐기물항만소방서부산광역시 영도구 해양로 297(동삼동)051-760-49222023-09-14
111의료 폐기물영도구보건소(코로나19예방접종센터)부산광역시 영도구 해양로301번길 17, 부산항국제크루즈터미널(동삼동)<NA>2023-09-14
112의료 폐기물참좋은정형외과의원부산광역시 영도구 대교로1, 201호051-714-17422023-09-14
113의료 폐기물편안한 여성의원부산광역시 영도구 대교로 1, 미라클타워 502호 (봉래동3가)051-715-07082023-09-14
114의료 폐기물본데로정형외과 의원부산광역시 영도구 태종로 93, 4층 (대교동2가)051-414-19192023-09-14
115의료 폐기물삼성제일내과의원부산광역시 영도구 태종로 107, 2층051-975-10002023-09-14
116의료 폐기물영도서울튼튼정형외과부산광역시 영도구 동삼로 56, 401호051-907-01002023-09-14
117의료 폐기물영도구의사회부산광역시 영도구 태종로 97(대교동2가, 영도메디칼빌딩 8층)051-415-53072023-09-14
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