Overview

Dataset statistics

Number of variables10
Number of observations32
Missing cells5
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory85.1 B

Variable types

Categorical3
Text5
Numeric1
DateTime1

Dataset

Description부산광역시_동래구_저수조청소업현황_20220822
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026303

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
상태구분 has constant value ""Constant
영업소전화번호 has 5 (15.6%) missing valuesMissing
영업소명 has unique valuesUnique
신고번호 has unique valuesUnique
대표자성명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:00:02.485261
Analysis finished2023-12-10 16:00:03.393398
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
부산광역시
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 32
100.0%

Length

2023-12-11T01:00:03.465423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:00:03.591088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 32
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
동래구
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동래구 32
100.0%

Length

2023-12-11T01:00:03.688421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:00:03.789593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동래구 32
100.0%

영업소명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:00:03.984280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.21875
Min length3

Characters and Unicode

Total characters199
Distinct characters79
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row제곤산업
2nd row극동환경
3rd row동래산업
4th row세계환경공사
5th row주식회사 삼보환경개발
ValueCountFrequency (%)
주식회사 3
 
8.6%
제곤산업 1
 
2.9%
주)삼명이엔씨 1
 
2.9%
부일환경시스템 1
 
2.9%
원형실업 1
 
2.9%
아신실업 1
 
2.9%
주)조은p&p 1
 
2.9%
이지환경 1
 
2.9%
주)서광티에스 1
 
2.9%
청소맨 1
 
2.9%
Other values (23) 23
65.7%
2023-12-11T01:00:04.368462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
7.5%
) 12
 
6.0%
( 12
 
6.0%
환 10
 
5.0%
경 10
 
5.0%
업 8
 
4.0%
산 5
 
2.5%
사 5
 
2.5%
스 4
 
2.0%
성 4
 
2.0%
Other values (69) 114
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
84.9%
Close Punctuation 12
 
6.0%
Open Punctuation 12
 
6.0%
Space Separator 3
 
1.5%
Uppercase Letter 2
 
1.0%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
8.9%
환 10
 
5.9%
경 10
 
5.9%
업 8
 
4.7%
산 5
 
3.0%
사 5
 
3.0%
스 4
 
2.4%
성 4
 
2.4%
이 4
 
2.4%
발 4
 
2.4%
Other values (64) 100
59.2%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
84.9%
Common 28
 
14.1%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
8.9%
환 10
 
5.9%
경 10
 
5.9%
업 8
 
4.7%
산 5
 
3.0%
사 5
 
3.0%
스 4
 
2.4%
성 4
 
2.4%
이 4
 
2.4%
발 4
 
2.4%
Other values (64) 100
59.2%
Common
ValueCountFrequency (%)
) 12
42.9%
( 12
42.9%
3
 
10.7%
& 1
 
3.6%
Latin
ValueCountFrequency (%)
P 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
84.9%
ASCII 30
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
8.9%
환 10
 
5.9%
경 10
 
5.9%
업 8
 
4.7%
산 5
 
3.0%
사 5
 
3.0%
스 4
 
2.4%
성 4
 
2.4%
이 4
 
2.4%
발 4
 
2.4%
Other values (64) 100
59.2%
ASCII
ValueCountFrequency (%)
) 12
40.0%
( 12
40.0%
3
 
10.0%
P 2
 
6.7%
& 1
 
3.3%

신고번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.8125
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T01:00:04.551808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q117.75
median40
Q352.25
95-th percentile59.45
Maximum61
Range60
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation18.617435
Coefficient of variation (CV)0.51985856
Kurtosis-1.2644655
Mean35.8125
Median Absolute Deviation (MAD)15
Skewness-0.30904334
Sum1146
Variance346.60887
MonotonicityStrictly increasing
2023-12-11T01:00:04.712165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
42 1
 
3.1%
61 1
 
3.1%
60 1
 
3.1%
59 1
 
3.1%
58 1
 
3.1%
57 1
 
3.1%
56 1
 
3.1%
54 1
 
3.1%
53 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
4 1
3.1%
10 1
3.1%
11 1
3.1%
13 1
3.1%
14 1
3.1%
15 1
3.1%
17 1
3.1%
18 1
3.1%
23 1
3.1%
ValueCountFrequency (%)
61 1
3.1%
60 1
3.1%
59 1
3.1%
58 1
3.1%
57 1
3.1%
56 1
3.1%
54 1
3.1%
53 1
3.1%
52 1
3.1%
50 1
3.1%

상태구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
정상
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 32
100.0%

Length

2023-12-11T01:00:04.888468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:00:05.028442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 32
100.0%

대표자성명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:00:05.248751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters96
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row전재곤
2nd row박순재
3rd row조춘자
4th row김종률
5th row오상규
ValueCountFrequency (%)
전재곤 1
 
3.1%
박순재 1
 
3.1%
조성아 1
 
3.1%
이나현 1
 
3.1%
방병만 1
 
3.1%
이태훈 1
 
3.1%
조경천 1
 
3.1%
강태협 1
 
3.1%
강태원 1
 
3.1%
진미숙 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T01:00:05.687406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
9.4%
이 5
 
5.2%
강 4
 
4.2%
상 3
 
3.1%
수 3
 
3.1%
박 3
 
3.1%
병 3
 
3.1%
조 3
 
3.1%
태 3
 
3.1%
봉 3
 
3.1%
Other values (47) 57
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
9.4%
이 5
 
5.2%
강 4
 
4.2%
상 3
 
3.1%
수 3
 
3.1%
박 3
 
3.1%
병 3
 
3.1%
조 3
 
3.1%
태 3
 
3.1%
봉 3
 
3.1%
Other values (47) 57
59.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
9.4%
이 5
 
5.2%
강 4
 
4.2%
상 3
 
3.1%
수 3
 
3.1%
박 3
 
3.1%
병 3
 
3.1%
조 3
 
3.1%
태 3
 
3.1%
봉 3
 
3.1%
Other values (47) 57
59.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
9.4%
이 5
 
5.2%
강 4
 
4.2%
상 3
 
3.1%
수 3
 
3.1%
박 3
 
3.1%
병 3
 
3.1%
조 3
 
3.1%
태 3
 
3.1%
봉 3
 
3.1%
Other values (47) 57
59.4%

신고일자
Date

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum1999-09-11 00:00:00
Maximum2022-04-01 00:00:00
2023-12-11T01:00:05.854921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:00:05.994309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

영업소주소(도로명)
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:00:06.252030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34.5
Mean length29.9375
Min length22

Characters and Unicode

Total characters958
Distinct characters77
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row부산광역시 동래구 명안로86번길 45 (명장동)
2nd row부산광역시 동래구 아시아드대로 221 (온천동)
3rd row부산광역시 동래구 동래로80번길 16 (명륜동)
4th row부산광역시 동래구 종합운동장로40번길 19 (사직동)
5th row부산광역시 동래구 미남로 131 (온천동)
ValueCountFrequency (%)
부산광역시 32
18.1%
동래구 32
18.1%
온천동 15
 
8.5%
사직동 5
 
2.8%
안락동 5
 
2.8%
66 3
 
1.7%
14 3
 
1.7%
명장동 3
 
1.7%
101호 2
 
1.1%
대경빌라트 2
 
1.1%
Other values (65) 75
42.4%
2023-12-11T01:00:06.767380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
16.4%
동 67
 
7.0%
시 37
 
3.9%
역 34
 
3.5%
) 33
 
3.4%
( 33
 
3.4%
래 33
 
3.4%
부 32
 
3.3%
로 32
 
3.3%
산 32
 
3.3%
Other values (67) 468
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 577
60.2%
Space Separator 157
 
16.4%
Decimal Number 153
 
16.0%
Close Punctuation 33
 
3.4%
Open Punctuation 33
 
3.4%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 67
 
11.6%
시 37
 
6.4%
역 34
 
5.9%
래 33
 
5.7%
부 32
 
5.5%
로 32
 
5.5%
산 32
 
5.5%
구 32
 
5.5%
광 32
 
5.5%
길 25
 
4.3%
Other values (53) 221
38.3%
Decimal Number
ValueCountFrequency (%)
1 31
20.3%
2 24
15.7%
6 19
12.4%
3 18
11.8%
4 14
9.2%
0 14
9.2%
7 14
9.2%
8 10
 
6.5%
5 8
 
5.2%
9 1
 
0.7%
Space Separator
ValueCountFrequency (%)
157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 577
60.2%
Common 381
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 67
 
11.6%
시 37
 
6.4%
역 34
 
5.9%
래 33
 
5.7%
부 32
 
5.5%
로 32
 
5.5%
산 32
 
5.5%
구 32
 
5.5%
광 32
 
5.5%
길 25
 
4.3%
Other values (53) 221
38.3%
Common
ValueCountFrequency (%)
157
41.2%
) 33
 
8.7%
( 33
 
8.7%
1 31
 
8.1%
2 24
 
6.3%
6 19
 
5.0%
3 18
 
4.7%
4 14
 
3.7%
0 14
 
3.7%
7 14
 
3.7%
Other values (4) 24
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 577
60.2%
ASCII 381
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
41.2%
) 33
 
8.7%
( 33
 
8.7%
1 31
 
8.1%
2 24
 
6.3%
6 19
 
5.0%
3 18
 
4.7%
4 14
 
3.7%
0 14
 
3.7%
7 14
 
3.7%
Other values (4) 24
 
6.3%
Hangul
ValueCountFrequency (%)
동 67
 
11.6%
시 37
 
6.4%
역 34
 
5.9%
래 33
 
5.7%
부 32
 
5.5%
로 32
 
5.5%
산 32
 
5.5%
구 32
 
5.5%
광 32
 
5.5%
길 25
 
4.3%
Other values (53) 221
38.3%

영업소주소(지번)
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:00:07.000510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length22.25
Min length1

Characters and Unicode

Total characters712
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row부산광역시 동래구 명장동 145-14 35통3반
2nd row부산광역시 동래구 온천동 1249-10
3rd row부산광역시 동래구 명륜동 562-45
4th row부산광역시 동래구 사직동 102-12
5th row부산광역시 동래구 온천동 1421-36
ValueCountFrequency (%)
부산광역시 31
22.6%
동래구 31
22.6%
온천동 14
 
10.2%
안락동 5
 
3.6%
사직동 5
 
3.6%
명장동 3
 
2.2%
101호 3
 
2.2%
129-31 2
 
1.5%
802-19 2
 
1.5%
1224-1 2
 
1.5%
Other values (38) 39
28.5%
2023-12-11T01:00:07.406632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
18.8%
동 63
 
8.8%
1 49
 
6.9%
역 33
 
4.6%
부 31
 
4.4%
산 31
 
4.4%
2 31
 
4.4%
구 31
 
4.4%
래 31
 
4.4%
시 31
 
4.4%
Other values (48) 247
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 378
53.1%
Decimal Number 169
23.7%
Space Separator 134
 
18.8%
Dash Punctuation 29
 
4.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
16.7%
역 33
8.7%
부 31
8.2%
산 31
8.2%
구 31
8.2%
래 31
8.2%
시 31
8.2%
광 31
8.2%
천 15
 
4.0%
온 14
 
3.7%
Other values (34) 67
17.7%
Decimal Number
ValueCountFrequency (%)
1 49
29.0%
2 31
18.3%
4 20
11.8%
3 17
 
10.1%
6 12
 
7.1%
5 11
 
6.5%
0 10
 
5.9%
9 9
 
5.3%
8 5
 
3.0%
7 5
 
3.0%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 378
53.1%
Common 334
46.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
16.7%
역 33
8.7%
부 31
8.2%
산 31
8.2%
구 31
8.2%
래 31
8.2%
시 31
8.2%
광 31
8.2%
천 15
 
4.0%
온 14
 
3.7%
Other values (34) 67
17.7%
Common
ValueCountFrequency (%)
134
40.1%
1 49
 
14.7%
2 31
 
9.3%
- 29
 
8.7%
4 20
 
6.0%
3 17
 
5.1%
6 12
 
3.6%
5 11
 
3.3%
0 10
 
3.0%
9 9
 
2.7%
Other values (4) 12
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 378
53.1%
ASCII 334
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
40.1%
1 49
 
14.7%
2 31
 
9.3%
- 29
 
8.7%
4 20
 
6.0%
3 17
 
5.1%
6 12
 
3.6%
5 11
 
3.3%
0 10
 
3.0%
9 9
 
2.7%
Other values (4) 12
 
3.6%
Hangul
ValueCountFrequency (%)
동 63
16.7%
역 33
8.7%
부 31
8.2%
산 31
8.2%
구 31
8.2%
래 31
8.2%
시 31
8.2%
광 31
8.2%
천 15
 
4.0%
온 14
 
3.7%
Other values (34) 67
17.7%

영업소전화번호
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing5
Missing (%)15.6%
Memory size388.0 B
2023-12-11T01:00:07.618933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.185185
Min length1

Characters and Unicode

Total characters302
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 (%)92.6%

Sample

1st row051-529-7144
2nd row051-502-0395
3rd row
4th row051-504-7298
5th row051-502-8300
ValueCountFrequency (%)
051-504-2955 1
 
4.0%
051-727-8896 1
 
4.0%
051-529-7144 1
 
4.0%
051-524-7235 1
 
4.0%
051-851-0950 1
 
4.0%
051-501-5614 1
 
4.0%
051-316-4377 1
 
4.0%
051-515-7484 1
 
4.0%
051-851-3823 1
 
4.0%
051-851-4002 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T01:00:07.964215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 62
20.5%
- 50
16.6%
0 48
15.9%
1 39
12.9%
4 19
 
6.3%
2 19
 
6.3%
7 15
 
5.0%
8 15
 
5.0%
3 15
 
5.0%
9 10
 
3.3%
Other values (2) 10
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
82.8%
Dash Punctuation 50
 
16.6%
Space Separator 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 62
24.8%
0 48
19.2%
1 39
15.6%
4 19
 
7.6%
2 19
 
7.6%
7 15
 
6.0%
8 15
 
6.0%
3 15
 
6.0%
9 10
 
4.0%
6 8
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 62
20.5%
- 50
16.6%
0 48
15.9%
1 39
12.9%
4 19
 
6.3%
2 19
 
6.3%
7 15
 
5.0%
8 15
 
5.0%
3 15
 
5.0%
9 10
 
3.3%
Other values (2) 10
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 62
20.5%
- 50
16.6%
0 48
15.9%
1 39
12.9%
4 19
 
6.3%
2 19
 
6.3%
7 15
 
5.0%
8 15
 
5.0%
3 15
 
5.0%
9 10
 
3.3%
Other values (2) 10
 
3.3%

Interactions

2023-12-11T01:00:02.990318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:00:08.086019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업소명신고번호대표자성명신고일자영업소주소(도로명)영업소주소(지번)영업소전화번호
영업소명1.0001.0001.0001.0001.0001.0001.000
신고번호1.0001.0001.0000.9880.8830.8830.931
대표자성명1.0001.0001.0001.0001.0001.0001.000
신고일자1.0000.9881.0001.0000.9690.9690.964
영업소주소(도로명)1.0000.8831.0000.9691.0001.0000.988
영업소주소(지번)1.0000.8831.0000.9691.0001.0000.988
영업소전화번호1.0000.9311.0000.9640.9880.9881.000

Missing values

2023-12-11T01:00:03.161534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:00:03.333718image/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

시도시군구영업소명신고번호상태구분대표자성명신고일자영업소주소(도로명)영업소주소(지번)영업소전화번호
0부산광역시동래구제곤산업1정상전재곤2007-11-26부산광역시 동래구 명안로86번길 45 (명장동)부산광역시 동래구 명장동 145-14 35통3반051-529-7144
1부산광역시동래구극동환경4정상박순재2007-11-26부산광역시 동래구 아시아드대로 221 (온천동)부산광역시 동래구 온천동 1249-10051-502-0395
2부산광역시동래구동래산업10정상조춘자2007-11-12부산광역시 동래구 동래로80번길 16 (명륜동)부산광역시 동래구 명륜동 562-45
3부산광역시동래구세계환경공사11정상김종률2007-11-29부산광역시 동래구 종합운동장로40번길 19 (사직동)부산광역시 동래구 사직동 102-12051-504-7298
4부산광역시동래구주식회사 삼보환경개발13정상오상규2011-04-18부산광역시 동래구 미남로 131 (온천동)부산광역시 동래구 온천동 1421-36051-502-8300
5부산광역시동래구종남산업14정상김우수2004-06-22부산광역시 동래구 명안로86번길 76 (명장동)부산광역시 동래구 명장동 149-2051-557-1603
6부산광역시동래구(주)천우시스템15정상김봉엽1999-09-11부산광역시 동래구 충렬대로86번길 41 (온천동)부산광역시 동래구 온천동 1446-26
7부산광역시동래구유일종합공사17정상김영봉2007-12-28부산광역시 동래구 중앙대로1333번길 62 (온천동)부산광역시 동래구 온천동 1432-20051-554-3904
8부산광역시동래구늘푸른환경18정상강진포2007-11-30부산광역시 동래구 명안로46번길 10 102호 (안락동 한진상가빌라)부산광역시 동래구 안락동 1224-1 한진상가빌라051-531-0655
9부산광역시동래구주식회사 성호23정상김혜련2021-03-26부산광역시 동래구 미남로 86 302호 (온천동)부산광역시 동래구 온천동 1465-5051-502-1282
시도시군구영업소명신고번호상태구분대표자성명신고일자영업소주소(도로명)영업소주소(지번)영업소전화번호
22부산광역시동래구이지환경50정상주대환2013-03-20부산광역시 동래구 충렬대로126번길 7 101호 (온천동)부산광역시 동래구 온천동 1442-26 101호051-851-3823
23부산광역시동래구(주)서광티에스52정상진미숙2014-02-18부산광역시 동래구 우장춘로4번길 38 (온천동)부산광역시 동래구 온천동 1428-13051-515-7484
24부산광역시동래구(주)삼명이엔씨53정상강태원2014-11-10부산광역시 동래구 중앙대로1473번길 8 (온천동)부산광역시 동래구 온천동 174-5051-316-4377
25부산광역시동래구청소맨54정상강태협2017-02-20부산광역시 동래구 여고북로33번가길 27 (온천동)051-501-5614
26부산광역시동래구(주)현대용역56정상조경천2020-03-31부산광역시 동래구 쇠미로217번길 48 (주)현대용역 (온천동)부산광역시 동래구 온천동 1143-5 (주)현대용역051-851-0950
27부산광역시동래구청수산업57정상이태훈2020-09-02부산광역시 동래구 복천로 20-1 (복천동)부산광역시 동래구 복천동 153<NA>
28부산광역시동래구대세환경산업58정상방병만2021-03-31부산광역시 동래구 여고로 66 현대빌딩 403호 (사직동)부산광역시 동래구 사직동 132-1051-502-1369
29부산광역시동래구정상개발59정상이나현2021-04-16부산광역시 동래구 충렬대로75번길 14 (온천동 대경빌라트)부산광역시 동래구 온천동 963-1 대경빌라트 1동 101호<NA>
30부산광역시동래구(주)영진이엔디60정상조성아2021-05-21부산광역시 동래구 온천천로301번길 57 101호 (수안동 세영아파트)부산광역시 동래구 수안동 32-42 세영아파트<NA>
31부산광역시동래구칠일환경61정상김병덕2022-04-01부산광역시 동래구 온천장로 21 명륜역 대원칸타빌 2203호 (온천동)부산광역시 동래구 온천동 1832 명륜역 대원칸타빌 2203호<NA>