Overview

Dataset statistics

Number of variables4
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory33.2 B

Variable types

Text2
Categorical2

Dataset

Description부산광역시서구_사업장폐기물배출자신고현황_20221231
Author부산광역시 서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060443

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-10 17:49:08.506177
Analysis finished2023-12-10 17:49:09.194742
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T02:49:09.632337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length8.3063063
Min length2

Characters and Unicode

Total characters922
Distinct characters203
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

Unique105 ?
Unique (%)94.6%

Sample

1st row경남고등학교
2nd row부산서여자고등학교
3rd row삼육부산병원
4th row부산대학교병원
5th row(재단)마리아수녀회
ValueCountFrequency (%)
상인회 3
 
2.2%
부산공장 3
 
2.2%
부산대학교병원 2
 
1.5%
중앙사업소 2
 
1.5%
동아대학교의료원 2
 
1.5%
㈜서원유통탑마트 2
 
1.5%
부산환경공단 2
 
1.5%
㈜풀무원푸드앤컬처 2
 
1.5%
동원산업㈜ 2
 
1.5%
연우냉동㈜ 1
 
0.7%
Other values (113) 113
84.3%
2023-12-11T02:49:10.495723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 47
 
5.1%
원 41
 
4.4%
산 37
 
4.0%
부 24
 
2.6%
24
 
2.6%
동 19
 
2.1%
의 19
 
2.1%
대 19
 
2.1%
수 17
 
1.8%
사 17
 
1.8%
Other values (193) 658
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 833
90.3%
Other Symbol 47
 
5.1%
Space Separator 24
 
2.6%
Uppercase Letter 7
 
0.8%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%
Other Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
 
4.9%
산 37
 
4.4%
부 24
 
2.9%
동 19
 
2.3%
의 19
 
2.3%
대 19
 
2.3%
수 17
 
2.0%
사 17
 
2.0%
장 17
 
2.0%
드 15
 
1.8%
Other values (180) 608
73.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
28.6%
T 1
14.3%
U 1
14.3%
A 1
14.3%
F 1
14.3%
G 1
14.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
/ 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 47
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 880
95.4%
Common 35
 
3.8%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 47
 
5.3%
원 41
 
4.7%
산 37
 
4.2%
부 24
 
2.7%
동 19
 
2.2%
의 19
 
2.2%
대 19
 
2.2%
수 17
 
1.9%
사 17
 
1.9%
장 17
 
1.9%
Other values (181) 623
70.8%
Common
ValueCountFrequency (%)
24
68.6%
( 4
 
11.4%
) 4
 
11.4%
& 1
 
2.9%
/ 1
 
2.9%
1 1
 
2.9%
Latin
ValueCountFrequency (%)
N 2
28.6%
T 1
14.3%
U 1
14.3%
A 1
14.3%
F 1
14.3%
G 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
90.3%
None 47
 
5.1%
ASCII 42
 
4.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 47
100.0%
Hangul
ValueCountFrequency (%)
원 41
 
4.9%
산 37
 
4.4%
부 24
 
2.9%
동 19
 
2.3%
의 19
 
2.3%
대 19
 
2.3%
수 17
 
2.0%
사 17
 
2.0%
장 17
 
2.0%
드 15
 
1.8%
Other values (180) 608
73.0%
ASCII
ValueCountFrequency (%)
24
57.1%
( 4
 
9.5%
) 4
 
9.5%
N 2
 
4.8%
T 1
 
2.4%
U 1
 
2.4%
A 1
 
2.4%
& 1
 
2.4%
F 1
 
2.4%
/ 1
 
2.4%
Other values (2) 2
 
4.8%

소재지
Text

Distinct106
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T02:49:11.086179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length18.558559
Min length10

Characters and Unicode

Total characters2060
Distinct characters83
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

Unique101 ?
Unique (%)91.0%

Sample

1st row망양로111번길 65(동대신동3가)
2nd row보수대로 202-6(동대신동2가)
3rd row대티로 170 (서대신동2가)
4th row구덕로 179 (아미동1가)
5th row감천로 237 (암남동)
ValueCountFrequency (%)
원양로 38
 
11.3%
수산가공선진화단지 17
 
5.1%
1 16
 
4.8%
충무대로 13
 
3.9%
b동 13
 
3.9%
구덕로 11
 
3.3%
암남동 7
 
2.1%
대영로 6
 
1.8%
보수대로 6
 
1.8%
등대로 4
 
1.2%
Other values (169) 204
60.9%
2023-12-11T02:49:11.934737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
10.9%
동 144
 
7.0%
1 113
 
5.5%
( 110
 
5.3%
) 110
 
5.3%
로 108
 
5.2%
2 83
 
4.0%
, 70
 
3.4%
남 70
 
3.4%
대 64
 
3.1%
Other values (73) 964
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1079
52.4%
Decimal Number 439
21.3%
Space Separator 224
 
10.9%
Open Punctuation 110
 
5.3%
Close Punctuation 110
 
5.3%
Other Punctuation 70
 
3.4%
Uppercase Letter 18
 
0.9%
Dash Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 144
 
13.3%
로 108
 
10.0%
남 70
 
6.5%
대 64
 
5.9%
가 62
 
5.7%
암 53
 
4.9%
원 46
 
4.3%
양 41
 
3.8%
호 29
 
2.7%
신 29
 
2.7%
Other values (55) 433
40.1%
Decimal Number
ValueCountFrequency (%)
1 113
25.7%
2 83
18.9%
3 48
10.9%
0 47
10.7%
4 32
 
7.3%
5 32
 
7.3%
6 29
 
6.6%
7 29
 
6.6%
9 17
 
3.9%
8 9
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 13
72.2%
A 4
 
22.2%
R 1
 
5.6%
Space Separator
ValueCountFrequency (%)
224
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1079
52.4%
Common 963
46.7%
Latin 18
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 144
 
13.3%
로 108
 
10.0%
남 70
 
6.5%
대 64
 
5.9%
가 62
 
5.7%
암 53
 
4.9%
원 46
 
4.3%
양 41
 
3.8%
호 29
 
2.7%
신 29
 
2.7%
Other values (55) 433
40.1%
Common
ValueCountFrequency (%)
224
23.3%
1 113
11.7%
( 110
11.4%
) 110
11.4%
2 83
 
8.6%
, 70
 
7.3%
3 48
 
5.0%
0 47
 
4.9%
4 32
 
3.3%
5 32
 
3.3%
Other values (5) 94
9.8%
Latin
ValueCountFrequency (%)
B 13
72.2%
A 4
 
22.2%
R 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1079
52.4%
ASCII 981
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
22.8%
1 113
11.5%
( 110
11.2%
) 110
11.2%
2 83
 
8.5%
, 70
 
7.1%
3 48
 
4.9%
0 47
 
4.8%
4 32
 
3.3%
5 32
 
3.3%
Other values (8) 112
11.4%
Hangul
ValueCountFrequency (%)
동 144
 
13.3%
로 108
 
10.0%
남 70
 
6.5%
대 64
 
5.9%
가 62
 
5.7%
암 53
 
4.9%
원 46
 
4.3%
양 41
 
3.8%
호 29
 
2.7%
신 29
 
2.7%
Other values (55) 433
40.1%

폐기물종류정보
Categorical

Distinct40
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
수산물가공잔재물
32 
생활계폐기물, 음식물류폐기물
12 
격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물
10 
조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물
7 
조직물류폐기물,병리계폐기물,손상성폐기물,일반의료폐기물
5 
Other values (35)
45 

Length

Max length54
Median length46
Mean length20.63964
Min length3

Unique

Unique28 ?
Unique (%)25.2%

Sample

1st row생활계폐기물, 음식물류폐기물
2nd row생활계폐기물, 음식물류폐기물
3rd row폐수처리오니, 그 밖의 폐섬유, 생활계폐기물, 음식물류폐기물
4th row폐수처리오니, 그 밖의 폐섬유, 생활계폐기물
5th row생활계폐기물, 음식물류폐기물

Common Values

ValueCountFrequency (%)
수산물가공잔재물 32
28.8%
생활계폐기물, 음식물류폐기물 12
 
10.8%
격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물 10
 
9.0%
조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물 7
 
6.3%
조직물류폐기물,병리계폐기물,손상성폐기물,일반의료폐기물 5
 
4.5%
생활계폐기물 3
 
2.7%
폐유(기계유,작동유) 3
 
2.7%
음식물류폐기물 3
 
2.7%
손상성폐기물,생물,화학폐기물,일반의료폐기물 2
 
1.8%
폐황산이 포함된 2차폐축전지 2
 
1.8%
Other values (30) 32
28.8%

Length

2023-12-11T02:49:12.252116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수산물가공잔재물 40
19.4%
생활계폐기물 28
13.6%
음식물류폐기물 23
11.2%
그 16
 
7.8%
밖의 16
 
7.8%
격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물 10
 
4.9%
폐수처리오니 10
 
4.9%
폐합성수지류 8
 
3.9%
조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물 7
 
3.4%
폐섬유 6
 
2.9%
Other values (26) 42
20.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-06-30
111 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2023-06-30 111
100.0%

Length

2023-12-11T02:49:12.517398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:49:12.721073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-30 111
100.0%

Missing values

2023-12-11T02:49:08.917138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:49:09.121370image/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

상호명소재지폐기물종류정보데이터기준일자
0경남고등학교망양로111번길 65(동대신동3가)생활계폐기물, 음식물류폐기물2023-06-30
1부산서여자고등학교보수대로 202-6(동대신동2가)생활계폐기물, 음식물류폐기물2023-06-30
2삼육부산병원대티로 170 (서대신동2가)폐수처리오니, 그 밖의 폐섬유, 생활계폐기물, 음식물류폐기물2023-06-30
3부산대학교병원구덕로 179 (아미동1가)폐수처리오니, 그 밖의 폐섬유, 생활계폐기물2023-06-30
4(재단)마리아수녀회감천로 237 (암남동)생활계폐기물, 음식물류폐기물2023-06-30
5충무동새벽시장 상인회해안새벽시장길 76 (남부민동)생활계폐기물, 음식물류폐기물, 그 밖의 식물성잔재물, 수산물가공잔재물2023-06-30
6동아대학교 부민캠퍼스구덕로 225(부민동2가)폐합성수지류, 생활계폐기물2023-06-30
7참손푸드주식회사원양로 171(암남동)수산물가공잔재물2023-06-30
8희창물산㈜충무대로 146(남부민동)수산물가공잔재물, 생활계폐기물, 음식물류폐기물2023-06-30
9세동상사충무대로 174(남부민동)수산물가공잔재물2023-06-30
상호명소재지폐기물종류정보데이터기준일자
101전윤숙소아청소년과의원서구 대영로 54, 401호(서대신동1가)손상성폐기물,생물,화학폐기물,일반의료폐기물2023-06-30
102장덕한방병원구덕로 220, 2층(부민동1가)조직물류폐기물,병리계폐기물,손상성폐기물,일반의료폐기물2023-06-30
103에이스치과의원충무대로 14, 3층(암남동)조직물류폐기물,병리계폐기물,손상성폐기물,일반의료폐기물2023-06-30
104대신바른본의원대영로 54, 2층(서대신동1가)격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물2023-06-30
105한양마디시원 정형외과의원구덕로 109, 9층(충무동1가)격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물2023-06-30
106인창서구재가노인복지센터망양로 72-1, 2층(동대신동3가)격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물2023-06-30
107충무새힘한의원구덕로 109-1, 2층(충무동1가)조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물2023-06-30
108서울리안치과의원구덕로 234, 2층 201호(부용동1가)조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물2023-06-30
109탑조인트의원구덕로 95, 5층 501호(충무동1가)-정형외과격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물2023-06-30
110대한최강정형외과구덕로 102-1(충무동1가)격리의료폐기물,조직물류폐기물,병리계폐기물,손상성폐기물,생물,화학폐기물,혈액오염폐기물,일반의료폐기물2023-06-30