Overview

Dataset statistics

Number of variables5
Number of observations61
Missing cells27
Missing cells (%)8.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory42.2 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description부산광역시 사하구 관내 건물위생관리업 현황에 대한 데이터로 업소명, 도로명 주소, 전화번호 등의 항목을 제공합니다.
Author부산광역시 사하구
URLhttps://www.data.go.kr/data/3079297/fileData.do

Alerts

업종명 has constant value ""Constant
데이터 기준일 has constant value ""Constant
소재지전화 has 27 (44.3%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-04-25 07:29:13.993988
Analysis finished2024-04-25 07:29:15.459276
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
건물위생관리업
61 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 61
100.0%

Length

2024-04-25T16:29:15.519205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-25T16:29:15.597554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 61
100.0%

업소명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-25T16:29:15.748591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length6.8852459
Min length2

Characters and Unicode

Total characters420
Distinct characters144
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

Unique61 ?
Unique (%)100.0%

Sample

1st row(주)동아에스엔씨
2nd row(주)대한크린에어
3rd row(주)대산기업
4th row(주)대성공사
5th row(주)명가종합관리
ValueCountFrequency (%)
주식회사 4
 
5.1%
그린 2
 
2.5%
사하커뮤니티케어 1
 
1.3%
주)참바른건물위생관리 1
 
1.3%
디에이치(dh)솔루션 1
 
1.3%
한국에듀 1
 
1.3%
파견사업단 1
 
1.3%
사하용역 1
 
1.3%
주)내맘같이 1
 
1.3%
주)동아에스엔씨 1
 
1.3%
Other values (65) 65
82.3%
2024-04-25T16:29:16.042930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
5.7%
( 21
 
5.0%
) 21
 
5.0%
18
 
4.3%
사 15
 
3.6%
경 11
 
2.6%
환 10
 
2.4%
린 10
 
2.4%
스 10
 
2.4%
에 9
 
2.1%
Other values (134) 271
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
84.8%
Open Punctuation 21
 
5.0%
Close Punctuation 21
 
5.0%
Space Separator 18
 
4.3%
Uppercase Letter 3
 
0.7%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
6.7%
사 15
 
4.2%
경 11
 
3.1%
환 10
 
2.8%
린 10
 
2.8%
스 10
 
2.8%
에 9
 
2.5%
업 8
 
2.2%
리 8
 
2.2%
회 7
 
2.0%
Other values (127) 244
68.5%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
D 1
33.3%
K 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
84.8%
Common 61
 
14.5%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
6.7%
사 15
 
4.2%
경 11
 
3.1%
환 10
 
2.8%
린 10
 
2.8%
스 10
 
2.8%
에 9
 
2.5%
업 8
 
2.2%
리 8
 
2.2%
회 7
 
2.0%
Other values (127) 244
68.5%
Common
ValueCountFrequency (%)
( 21
34.4%
) 21
34.4%
18
29.5%
9 1
 
1.6%
Latin
ValueCountFrequency (%)
H 1
33.3%
D 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
84.8%
ASCII 64
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
6.7%
사 15
 
4.2%
경 11
 
3.1%
환 10
 
2.8%
린 10
 
2.8%
스 10
 
2.8%
에 9
 
2.5%
업 8
 
2.2%
리 8
 
2.2%
회 7
 
2.0%
Other values (127) 244
68.5%
ASCII
ValueCountFrequency (%)
( 21
32.8%
) 21
32.8%
18
28.1%
H 1
 
1.6%
D 1
 
1.6%
K 1
 
1.6%
9 1
 
1.6%

영업소 주소(도로명)
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-04-25T16:29:16.280892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length35.245902
Min length22

Characters and Unicode

Total characters2150
Distinct characters113
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

Unique59 ?
Unique (%)96.7%

Sample

1st row부산광역시 사하구 다대로 109 (신평동,한성기린A상가304호)
2nd row부산광역시 사하구 승학로 123-4, 6동 2층 202호 (당리동, 신익아파트 상가동)
3rd row부산광역시 사하구 동매로 23, 3층 (하단동)
4th row부산광역시 사하구 장평로 286-1 (신평동)
5th row부산광역시 사하구 낙동남로 1348-5 (하단동,1,2층)
ValueCountFrequency (%)
부산광역시 61
 
14.7%
사하구 61
 
14.7%
하단동 15
 
3.6%
2층 13
 
3.1%
당리동 10
 
2.4%
3층 9
 
2.2%
상가동 9
 
2.2%
괴정동 8
 
1.9%
장림동 8
 
1.9%
낙동대로 8
 
1.9%
Other values (143) 213
51.3%
2024-04-25T16:29:16.630562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
 
16.5%
동 101
 
4.7%
하 95
 
4.4%
1 76
 
3.5%
, 71
 
3.3%
2 69
 
3.2%
사 64
 
3.0%
구 64
 
3.0%
산 62
 
2.9%
광 62
 
2.9%
Other values (103) 1132
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1250
58.1%
Space Separator 354
 
16.5%
Decimal Number 342
 
15.9%
Other Punctuation 71
 
3.3%
Close Punctuation 61
 
2.8%
Open Punctuation 61
 
2.8%
Dash Punctuation 7
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 101
 
8.1%
하 95
 
7.6%
사 64
 
5.1%
구 64
 
5.1%
산 62
 
5.0%
광 62
 
5.0%
부 61
 
4.9%
역 61
 
4.9%
시 61
 
4.9%
로 57
 
4.6%
Other values (86) 562
45.0%
Decimal Number
ValueCountFrequency (%)
1 76
22.2%
2 69
20.2%
3 47
13.7%
0 44
12.9%
4 25
 
7.3%
5 24
 
7.0%
9 16
 
4.7%
6 14
 
4.1%
7 14
 
4.1%
8 13
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%
Space Separator
ValueCountFrequency (%)
354
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1250
58.1%
Common 896
41.7%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 101
 
8.1%
하 95
 
7.6%
사 64
 
5.1%
구 64
 
5.1%
산 62
 
5.0%
광 62
 
5.0%
부 61
 
4.9%
역 61
 
4.9%
시 61
 
4.9%
로 57
 
4.6%
Other values (86) 562
45.0%
Common
ValueCountFrequency (%)
354
39.5%
1 76
 
8.5%
, 71
 
7.9%
2 69
 
7.7%
) 61
 
6.8%
( 61
 
6.8%
3 47
 
5.2%
0 44
 
4.9%
4 25
 
2.8%
5 24
 
2.7%
Other values (5) 64
 
7.1%
Latin
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1250
58.1%
ASCII 900
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
39.3%
1 76
 
8.4%
, 71
 
7.9%
2 69
 
7.7%
) 61
 
6.8%
( 61
 
6.8%
3 47
 
5.2%
0 44
 
4.9%
4 25
 
2.8%
5 24
 
2.7%
Other values (7) 68
 
7.6%
Hangul
ValueCountFrequency (%)
동 101
 
8.1%
하 95
 
7.6%
사 64
 
5.1%
구 64
 
5.1%
산 62
 
5.0%
광 62
 
5.0%
부 61
 
4.9%
역 61
 
4.9%
시 61
 
4.9%
로 57
 
4.6%
Other values (86) 562
45.0%

소재지전화
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing27
Missing (%)44.3%
Memory size620.0 B
2024-04-25T16:29:16.780586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters476
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

Unique31 ?
Unique (%)91.2%

Sample

1st row 051- 203-7983
2nd row 051- 292-1101
3rd row051 -203 -2100
4th row051 -241 -5858
5th row 051- 207-8953
ValueCountFrequency (%)
051 34
35.4%
6697 3
 
3.1%
263 3
 
3.1%
206 3
 
3.1%
202 2
 
2.1%
265 2
 
2.1%
261 2
 
2.1%
220 2
 
2.1%
208 2
 
2.1%
5015 1
 
1.0%
Other values (42) 42
43.8%
2024-04-25T16:29:17.028551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
14.3%
- 68
14.3%
0 67
14.1%
5 58
12.2%
1 55
11.6%
2 47
9.9%
6 35
7.4%
9 22
 
4.6%
8 20
 
4.2%
3 16
 
3.4%
Other values (2) 20
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
71.4%
Space Separator 68
 
14.3%
Dash Punctuation 68
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
19.7%
5 58
17.1%
1 55
16.2%
2 47
13.8%
6 35
10.3%
9 22
 
6.5%
8 20
 
5.9%
3 16
 
4.7%
7 14
 
4.1%
4 6
 
1.8%
Space Separator
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
68
14.3%
- 68
14.3%
0 67
14.1%
5 58
12.2%
1 55
11.6%
2 47
9.9%
6 35
7.4%
9 22
 
4.6%
8 20
 
4.2%
3 16
 
3.4%
Other values (2) 20
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
14.3%
- 68
14.3%
0 67
14.1%
5 58
12.2%
1 55
11.6%
2 47
9.9%
6 35
7.4%
9 22
 
4.6%
8 20
 
4.2%
3 16
 
3.4%
Other values (2) 20
 
4.2%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2024-02-14 00:00:00
Maximum2024-02-14 00:00:00
2024-04-25T16:29:17.128902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-25T16:29:17.206431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-25T16:29:17.263035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)소재지전화
업소명1.0001.0001.000
영업소 주소(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2024-04-25T16:29:15.295210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-25T16:29:15.418102image/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

업종명업소명영업소 주소(도로명)소재지전화데이터 기준일
0건물위생관리업(주)동아에스엔씨부산광역시 사하구 다대로 109 (신평동,한성기린A상가304호)051- 203-79832024-02-14
1건물위생관리업(주)대한크린에어부산광역시 사하구 승학로 123-4, 6동 2층 202호 (당리동, 신익아파트 상가동)051- 292-11012024-02-14
2건물위생관리업(주)대산기업부산광역시 사하구 동매로 23, 3층 (하단동)051 -203 -21002024-02-14
3건물위생관리업(주)대성공사부산광역시 사하구 장평로 286-1 (신평동)051 -241 -58582024-02-14
4건물위생관리업(주)명가종합관리부산광역시 사하구 낙동남로 1348-5 (하단동,1,2층)051- 207-89532024-02-14
5건물위생관리업부일환경산업부산광역시 사하구 낙동대로 106 (괴정동,현대상가 2층)051- 206-65442024-02-14
6건물위생관리업(주)경성종합관리부산광역시 사하구 괴정로 111-1 (당리동)051- 205-59112024-02-14
7건물위생관리업주식회사승학환경부산광역시 사하구 낙동대로 542, 2층 209-A호 (하단동, 대우에덴프라자)051- 265-45762024-02-14
8건물위생관리업그린산업부산광역시 사하구 장평로299번길 7, 2층 (신평동)<NA>2024-02-14
9건물위생관리업(주)신성부산광역시 사하구 다대로 109, 상가동 202호 (신평동,한성기린임호아파트)051 -206 -89002024-02-14
업종명업소명영업소 주소(도로명)소재지전화데이터 기준일
51건물위생관리업9K 클린부산광역시 사하구 승학로131번길 1, 당리동 1층 (당리동)<NA>2024-02-14
52건물위생관리업(주)바른티앤피부산광역시 사하구 다대로 6, 3층 (당리동)<NA>2024-02-14
53건물위생관리업녹색환경 클린케어부산광역시 사하구 감내1로175번길 27, 1층 (감천동)<NA>2024-02-14
54건물위생관리업나일상사부산광역시 사하구 사하로 47, 상가동 3층 305호 (구평동, 구평화신아파트)<NA>2024-02-14
55건물위생관리업바른클린솔루션부산광역시 사하구 감천로139번길 18, 지하1층 (감천동)<NA>2024-02-14
56건물위생관리업엣지 컴퍼니부산광역시 사하구 다대로130번길 76, 1층 (신평동)<NA>2024-02-14
57건물위생관리업클린업부산광역시 사하구 다대낙조2길 15, 2층 202호 (다대동)051 -263 -66972024-02-14
58건물위생관리업사단법인 누리복지회 사업부부산광역시 사하구 다대로 256, 1층 (장림동)<NA>2024-02-14
59건물위생관리업주식회사 티에스플러스부산광역시 사하구 장림번영로 97, 2층 219호 (장림동)051 -266 -07292024-02-14
60건물위생관리업제이에스 디엔씨부산광역시 사하구 승학로 181, 1층 (괴정동)<NA>2024-02-14