Overview

Dataset statistics

Number of variables5
Number of observations38
Missing cells9
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory43.5 B

Variable types

Text3
Categorical2

Dataset

Description부산광역시북구_폐기물처리업현황_20221111
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15005957

Alerts

업종 has constant value ""Constant
전화번호 has 9 (23.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:37:45.679001
Analysis finished2023-12-10 17:37:46.534300
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T02:37:46.819840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.5789474
Min length4

Characters and Unicode

Total characters212
Distinct characters83
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)84.2%

Sample

1st row㈜지앤이환경
2nd row㈜남해환경
3rd row㈜청미산업
4th row㈜세영환경
5th row성신환경㈜
ValueCountFrequency (%)
㈜동방개발 2
 
5.0%
부산지점 2
 
5.0%
한국산업환경㈜ 2
 
5.0%
㈜남해환경 2
 
5.0%
광성운송 1
 
2.5%
동현건설㈜ 1
 
2.5%
㈜한비금속 1
 
2.5%
㈜브라보산업 1
 
2.5%
㈜산과들애 1
 
2.5%
한스틸환경 1
 
2.5%
Other values (26) 26
65.0%
2023-12-11T02:37:47.577866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 25
 
11.8%
환 20
 
9.4%
경 19
 
9.0%
산 13
 
6.1%
업 9
 
4.2%
이 5
 
2.4%
한 5
 
2.4%
동 4
 
1.9%
지 4
 
1.9%
발 4
 
1.9%
Other values (73) 104
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
86.3%
Other Symbol 25
 
11.8%
Space Separator 2
 
0.9%
Uppercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 20
 
10.9%
경 19
 
10.4%
산 13
 
7.1%
업 9
 
4.9%
이 5
 
2.7%
한 5
 
2.7%
동 4
 
2.2%
지 4
 
2.2%
발 4
 
2.2%
개 4
 
2.2%
Other values (69) 96
52.5%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
98.1%
Common 2
 
0.9%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 25
 
12.0%
환 20
 
9.6%
경 19
 
9.1%
산 13
 
6.2%
업 9
 
4.3%
이 5
 
2.4%
한 5
 
2.4%
동 4
 
1.9%
지 4
 
1.9%
발 4
 
1.9%
Other values (70) 100
48.1%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
86.3%
None 25
 
11.8%
ASCII 4
 
1.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 25
100.0%
Hangul
ValueCountFrequency (%)
환 20
 
10.9%
경 19
 
10.4%
산 13
 
7.1%
업 9
 
4.9%
이 5
 
2.7%
한 5
 
2.7%
동 4
 
2.2%
지 4
 
2.2%
발 4
 
2.2%
개 4
 
2.2%
Other values (69) 96
52.5%
ASCII
ValueCountFrequency (%)
2
50.0%
G 1
25.0%
S 1
25.0%

소재지
Text

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T02:37:48.096864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length33.684211
Min length21

Characters and Unicode

Total characters1280
Distinct characters120
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

Unique28 ?
Unique (%)73.7%

Sample

1st row부산광역시 북구 만덕대로66번길 19, 3층(덕천동)
2nd row부산광역시 북구 낙동대로 1626(구포동)
3rd row부산광역시 북구 사상로 620(구포동)
4th row부산광역시 북구 백양대로1048번길 3(구포동)
5th row부산광역시 북구 의성로 54-9(덕천동)
ValueCountFrequency (%)
부산광역시 38
 
17.8%
북구 38
 
17.8%
낙동대로 5
 
2.3%
금곡대로 3
 
1.4%
166 3
 
1.4%
덕천로 2
 
0.9%
의성로 2
 
0.9%
10 2
 
0.9%
105호(만덕동 2
 
0.9%
17 2
 
0.9%
Other values (102) 116
54.5%
2023-12-11T02:37:49.594556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
13.7%
1 64
 
5.0%
동 58
 
4.5%
구 54
 
4.2%
0 44
 
3.4%
시 44
 
3.4%
, 44
 
3.4%
산 41
 
3.2%
부 39
 
3.0%
3 39
 
3.0%
Other values (110) 678
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 725
56.6%
Decimal Number 253
 
19.8%
Space Separator 175
 
13.7%
Other Punctuation 44
 
3.4%
Close Punctuation 38
 
3.0%
Open Punctuation 38
 
3.0%
Dash Punctuation 4
 
0.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 58
 
8.0%
구 54
 
7.4%
시 44
 
6.1%
산 41
 
5.7%
부 39
 
5.4%
광 38
 
5.2%
역 38
 
5.2%
북 38
 
5.2%
로 37
 
5.1%
덕 26
 
3.6%
Other values (92) 312
43.0%
Decimal Number
ValueCountFrequency (%)
1 64
25.3%
0 44
17.4%
3 39
15.4%
6 26
10.3%
2 23
 
9.1%
4 17
 
6.7%
5 12
 
4.7%
9 10
 
4.0%
8 10
 
4.0%
7 8
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
H 1
33.3%
Space Separator
ValueCountFrequency (%)
175
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 725
56.6%
Common 552
43.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 58
 
8.0%
구 54
 
7.4%
시 44
 
6.1%
산 41
 
5.7%
부 39
 
5.4%
광 38
 
5.2%
역 38
 
5.2%
북 38
 
5.2%
로 37
 
5.1%
덕 26
 
3.6%
Other values (92) 312
43.0%
Common
ValueCountFrequency (%)
175
31.7%
1 64
 
11.6%
0 44
 
8.0%
, 44
 
8.0%
3 39
 
7.1%
) 38
 
6.9%
( 38
 
6.9%
6 26
 
4.7%
2 23
 
4.2%
4 17
 
3.1%
Other values (5) 44
 
8.0%
Latin
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
H 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 725
56.6%
ASCII 555
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
31.5%
1 64
 
11.5%
0 44
 
7.9%
, 44
 
7.9%
3 39
 
7.0%
) 38
 
6.8%
( 38
 
6.8%
6 26
 
4.7%
2 23
 
4.1%
4 17
 
3.1%
Other values (8) 47
 
8.5%
Hangul
ValueCountFrequency (%)
동 58
 
8.0%
구 54
 
7.4%
시 44
 
6.1%
산 41
 
5.7%
부 39
 
5.4%
광 38
 
5.2%
역 38
 
5.2%
북 38
 
5.2%
로 37
 
5.1%
덕 26
 
3.6%
Other values (92) 312
43.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
폐기물수집운반업
38 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐기물수집운반업 38
100.0%

Length

2023-12-11T02:37:49.941223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:37:50.165182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물수집운반업 38
100.0%

영업대상
Categorical

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
사업장배출시설
22 
사업장비배출시설
8 
건설폐기물
4 
생활 및 사업장비배출시설
 
2
생활폐기물
 
1

Length

Max length13
Median length7
Mean length7.3157895
Min length5

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st row사업장배출시설
2nd row사업장비배출시설
3rd row생활 및 사업장비배출시설
4th row사업장배출시설
5th row생활 및 사업장비배출시설

Common Values

ValueCountFrequency (%)
사업장배출시설 22
57.9%
사업장비배출시설 8
 
21.1%
건설폐기물 4
 
10.5%
생활 및 사업장비배출시설 2
 
5.3%
생활폐기물 1
 
2.6%
생활(대형)폐기물 1
 
2.6%

Length

2023-12-11T02:37:50.508076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:37:50.832402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장배출시설 22
52.4%
사업장비배출시설 10
23.8%
건설폐기물 4
 
9.5%
생활 2
 
4.8%
및 2
 
4.8%
생활폐기물 1
 
2.4%
생활(대형)폐기물 1
 
2.4%

전화번호
Text

MISSING 

Distinct27
Distinct (%)93.1%
Missing9
Missing (%)23.7%
Memory size436.0 B
2023-12-11T02:37:51.303458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.137931
Min length12

Characters and Unicode

Total characters352
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

Unique25 ?
Unique (%)86.2%

Sample

1st row051-305-2222
2nd row051-807-0005
3rd row051-334-7300
4th row051-341-1117
5th row051-343-8318
ValueCountFrequency (%)
051-807-0005 2
 
6.9%
051-337-2340 2
 
6.9%
051-342-2143 1
 
3.4%
051-315-6446 1
 
3.4%
051-714-4096 1
 
3.4%
051-759-2432 1
 
3.4%
051-336-4433~4 1
 
3.4%
051-338-7004 1
 
3.4%
051-343-6230 1
 
3.4%
051-337-0222 1
 
3.4%
Other values (17) 17
58.6%
2023-12-11T02:37:52.258481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 58
16.5%
0 55
15.6%
3 54
15.3%
1 47
13.4%
5 41
11.6%
4 25
7.1%
7 21
 
6.0%
2 21
 
6.0%
6 14
 
4.0%
8 9
 
2.6%
Other values (2) 7
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 292
83.0%
Dash Punctuation 58
 
16.5%
Math Symbol 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
18.8%
3 54
18.5%
1 47
16.1%
5 41
14.0%
4 25
8.6%
7 21
 
7.2%
2 21
 
7.2%
6 14
 
4.8%
8 9
 
3.1%
9 5
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 58
16.5%
0 55
15.6%
3 54
15.3%
1 47
13.4%
5 41
11.6%
4 25
7.1%
7 21
 
6.0%
2 21
 
6.0%
6 14
 
4.0%
8 9
 
2.6%
Other values (2) 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 58
16.5%
0 55
15.6%
3 54
15.3%
1 47
13.4%
5 41
11.6%
4 25
7.1%
7 21
 
6.0%
2 21
 
6.0%
6 14
 
4.0%
8 9
 
2.6%
Other values (2) 7
 
2.0%

Correlations

2023-12-11T02:37:52.506630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호소재지영업대상전화번호
상호1.0001.0000.8821.000
소재지1.0001.0000.9481.000
영업대상0.8820.9481.0000.950
전화번호1.0001.0000.9501.000

Missing values

2023-12-11T02:37:46.260277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:37:46.456808image/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

상호소재지업종영업대상전화번호
0㈜지앤이환경부산광역시 북구 만덕대로66번길 19, 3층(덕천동)폐기물수집운반업사업장배출시설051-305-2222
1㈜남해환경부산광역시 북구 낙동대로 1626(구포동)폐기물수집운반업사업장비배출시설051-807-0005
2㈜청미산업부산광역시 북구 사상로 620(구포동)폐기물수집운반업생활 및 사업장비배출시설051-334-7300
3㈜세영환경부산광역시 북구 백양대로1048번길 3(구포동)폐기물수집운반업사업장배출시설051-341-1117
4성신환경㈜부산광역시 북구 의성로 54-9(덕천동)폐기물수집운반업생활 및 사업장비배출시설051-343-8318
5한국산업환경㈜부산광역시 북구 덕천로 343(만덕동)폐기물수집운반업사업장배출시설051-337-0002
6㈜삼정GS부산광역시 북구 의성로 115번길 33, 6층(덕천동, 태림빌딩)폐기물수집운반업생활폐기물051-338-1181~4
7㈜여민환경 부산지점부산광역시 북구 화명대로 10 1301호(화명동, 상뜨레뷰)폐기물수집운반업사업장비배출시설051-361-7705
8수정산업부산광역시 북구 구포만세길 163, 302호(구포동, 어반빌리지)폐기물수집운반업사업장배출시설051-914-1020
9㈜동방개발부산광역시 북구 금곡대로 166, 109동 1304호(화명동, 화명롯데캐슬카이저)폐기물수집운반업사업장배출시설051-337-2340
상호소재지업종영업대상전화번호
28늘푸른환경부산광역시 북구 만덕대로142번가길 4, A동 103호(덕천동, 일진)폐기물수집운반업건설폐기물<NA>
29㈜동서이앤이부산광역시 북구 시랑로79번길 33(구포동)폐기물수집운반업사업장비배출시설051-343-6230
30광성운송부산광역시 북구 금곡대로 166, 503동 3002호(화명동, 롯데캐슬카이저)폐기물수집운반업사업장배출시설<NA>
31에덴환경산업부산광역시 북구 구남언덕로32번길 40(구포동)폐기물수집운반업사업장배출시설051-338-7004
32서광환경산업부산광역시 북구 낙동대로 1626, 401호(구포동)폐기물수집운반업사업장배출시설<NA>
33㈜모두환경북구지점부산광역시 북구 낙동대로 1660, 101호(구포동)폐기물수집운반업생활(대형)폐기물051-336-4433~4
34한국운수창고㈜부산광역시 북구 만덕2로 14, 부산만덕삼성종합상가 105호(만덕동)폐기물수집운반업사업장배출시설051-759-2432
35㈜유노그린텍부산광역시 북구 양달로9번길 17, 상가14동 401호(화명동)폐기물수집운반업건설폐기물051-714-4096
36우일종합환경부산광역시 북구 학사로17번길 31, 116동 1805호(화명동, 수정강변타운)폐기물수집운반업사업장배출시설<NA>
37원정산업부산광역시 북구 효열로 193, 203동 502호(금곡동, 유림아파트)폐기물수집운반업사업장배출시설055-338-6591