Overview

Dataset statistics

Number of variables4
Number of observations39
Missing cells11
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory36.4 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시 동구 관내 소독업소 현황에 대한 데이터로 업체명, 주소, 연락처 등이 포함되어 있습니다. 동구 보건소에 개설신고를 한 소독업소에 대한 자료입니다.
URLhttps://www.data.go.kr/data/3079122/fileData.do

Alerts

영업소전화번호 has 11 (28.2%) missing valuesMissing
순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique
사무실소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:15:43.668167
Analysis finished2023-12-12 19:15:44.299736
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-13T04:15:44.377815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2023-12-13T04:15:44.573016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

소독업소명칭
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T04:15:44.923391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length7.1282051
Min length3

Characters and Unicode

Total characters278
Distinct characters109
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row한마음
2nd row신우환경산업
3rd row수일종합환경(주)
4th row제이피방역
5th row로타리방역
ValueCountFrequency (%)
한마음 1
 
2.4%
씨앤에스코리아 1
 
2.4%
주)부성기업 1
 
2.4%
주)더청화 1
 
2.4%
주식회사 1
 
2.4%
대흥시스템 1
 
2.4%
협성개발(주 1
 
2.4%
전문환경공사 1
 
2.4%
주)금융환경엔지니어링 1
 
2.4%
에스엔시(주 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T04:15:45.420654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
7.6%
) 20
 
7.2%
( 18
 
6.5%
스 8
 
2.9%
이 8
 
2.9%
사 6
 
2.2%
역 6
 
2.2%
환 6
 
2.2%
경 6
 
2.2%
방 5
 
1.8%
Other values (99) 174
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
84.5%
Close Punctuation 20
 
7.2%
Open Punctuation 18
 
6.5%
Space Separator 3
 
1.1%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
8.9%
스 8
 
3.4%
이 8
 
3.4%
사 6
 
2.6%
역 6
 
2.6%
환 6
 
2.6%
경 6
 
2.6%
방 5
 
2.1%
시 5
 
2.1%
티 5
 
2.1%
Other values (94) 159
67.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
84.5%
Common 41
 
14.7%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
8.9%
스 8
 
3.4%
이 8
 
3.4%
사 6
 
2.6%
역 6
 
2.6%
환 6
 
2.6%
경 6
 
2.6%
방 5
 
2.1%
시 5
 
2.1%
티 5
 
2.1%
Other values (94) 159
67.7%
Common
ValueCountFrequency (%)
) 20
48.8%
( 18
43.9%
3
 
7.3%
Latin
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 235
84.5%
ASCII 43
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
8.9%
스 8
 
3.4%
이 8
 
3.4%
사 6
 
2.6%
역 6
 
2.6%
환 6
 
2.6%
경 6
 
2.6%
방 5
 
2.1%
시 5
 
2.1%
티 5
 
2.1%
Other values (94) 159
67.7%
ASCII
ValueCountFrequency (%)
) 20
46.5%
( 18
41.9%
3
 
7.0%
T 1
 
2.3%
S 1
 
2.3%

사무실소재지(도로명)
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T04:15:45.778163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length38
Mean length34.025641
Min length21

Characters and Unicode

Total characters1327
Distinct characters103
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

Unique39 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 범일로 101-8, 3층 (범일동)
2nd row부산광역시 동구 망양로 888-1, 지하1층 (범일동)
3rd row부산광역시 동구 중앙대로180번길 12-10, 204호 (초량동)
4th row부산광역시 동구 자성로141번길 11, 삼환오피스텔 1101호 (범일동)
5th row부산광역시 동구 자성로111번길 2-5(범일동)
ValueCountFrequency (%)
부산광역시 39
 
15.4%
동구 39
 
15.4%
초량동 18
 
7.1%
범일동 12
 
4.7%
수정동 6
 
2.4%
3층 4
 
1.6%
지하1층 4
 
1.6%
2층 4
 
1.6%
5층 4
 
1.6%
고관로 4
 
1.6%
Other values (97) 119
47.0%
2023-12-13T04:15:46.349196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
16.1%
동 84
 
6.3%
1 60
 
4.5%
부 44
 
3.3%
, 43
 
3.2%
산 43
 
3.2%
광 39
 
2.9%
역 39
 
2.9%
시 39
 
2.9%
구 39
 
2.9%
Other values (93) 683
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 731
55.1%
Decimal Number 241
 
18.2%
Space Separator 214
 
16.1%
Other Punctuation 43
 
3.2%
Close Punctuation 39
 
2.9%
Open Punctuation 39
 
2.9%
Dash Punctuation 17
 
1.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 84
 
11.5%
부 44
 
6.0%
산 43
 
5.9%
광 39
 
5.3%
역 39
 
5.3%
시 39
 
5.3%
구 39
 
5.3%
로 39
 
5.3%
층 26
 
3.6%
번 23
 
3.1%
Other values (75) 316
43.2%
Decimal Number
ValueCountFrequency (%)
1 60
24.9%
3 35
14.5%
2 27
11.2%
0 25
10.4%
5 19
 
7.9%
8 19
 
7.9%
4 19
 
7.9%
9 14
 
5.8%
6 14
 
5.8%
7 9
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
T 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
214
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 731
55.1%
Common 593
44.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 84
 
11.5%
부 44
 
6.0%
산 43
 
5.9%
광 39
 
5.3%
역 39
 
5.3%
시 39
 
5.3%
구 39
 
5.3%
로 39
 
5.3%
층 26
 
3.6%
번 23
 
3.1%
Other values (75) 316
43.2%
Common
ValueCountFrequency (%)
214
36.1%
1 60
 
10.1%
, 43
 
7.3%
) 39
 
6.6%
( 39
 
6.6%
3 35
 
5.9%
2 27
 
4.6%
0 25
 
4.2%
5 19
 
3.2%
8 19
 
3.2%
Other values (5) 73
 
12.3%
Latin
ValueCountFrequency (%)
A 1
33.3%
T 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 731
55.1%
ASCII 596
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
35.9%
1 60
 
10.1%
, 43
 
7.2%
) 39
 
6.5%
( 39
 
6.5%
3 35
 
5.9%
2 27
 
4.5%
0 25
 
4.2%
5 19
 
3.2%
8 19
 
3.2%
Other values (8) 76
 
12.8%
Hangul
ValueCountFrequency (%)
동 84
 
11.5%
부 44
 
6.0%
산 43
 
5.9%
광 39
 
5.3%
역 39
 
5.3%
시 39
 
5.3%
구 39
 
5.3%
로 39
 
5.3%
층 26
 
3.6%
번 23
 
3.1%
Other values (75) 316
43.2%

영업소전화번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing11
Missing (%)28.2%
Memory size444.0 B
2023-12-13T04:15:46.647159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.928571
Min length9

Characters and Unicode

Total characters334
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

Unique28 ?
Unique (%)100.0%

Sample

1st row051-638-7987
2nd row051-463-5824
3rd row051-714-4692
4th row051-640-3930
5th row1566-6977
ValueCountFrequency (%)
051-638-7987 1
 
3.6%
051-463-5824 1
 
3.6%
051-647-5599 1
 
3.6%
051-462-0881 1
 
3.6%
051-441-7171 1
 
3.6%
051-851-9782 1
 
3.6%
051-632-6382 1
 
3.6%
051-468-8434 1
 
3.6%
051-441-2244 1
 
3.6%
051-462-1644 1
 
3.6%
Other values (18) 18
64.3%
2023-12-13T04:15:47.112846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 55
16.5%
1 47
14.1%
0 45
13.5%
5 34
10.2%
4 32
9.6%
6 29
8.7%
8 24
7.2%
7 19
 
5.7%
3 18
 
5.4%
2 17
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 279
83.5%
Dash Punctuation 55
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
16.8%
0 45
16.1%
5 34
12.2%
4 32
11.5%
6 29
10.4%
8 24
8.6%
7 19
6.8%
3 18
 
6.5%
2 17
 
6.1%
9 14
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 334
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 55
16.5%
1 47
14.1%
0 45
13.5%
5 34
10.2%
4 32
9.6%
6 29
8.7%
8 24
7.2%
7 19
 
5.7%
3 18
 
5.4%
2 17
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 334
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 55
16.5%
1 47
14.1%
0 45
13.5%
5 34
10.2%
4 32
9.6%
6 29
8.7%
8 24
7.2%
7 19
 
5.7%
3 18
 
5.4%
2 17
 
5.1%

Interactions

2023-12-13T04:15:43.961378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:15:47.245281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소독업소명칭사무실소재지(도로명)영업소전화번호
순번1.0001.0001.0001.000
소독업소명칭1.0001.0001.0001.000
사무실소재지(도로명)1.0001.0001.0001.000
영업소전화번호1.0001.0001.0001.000

Missing values

2023-12-13T04:15:44.138910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:15:44.257077image/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

순번소독업소명칭사무실소재지(도로명)영업소전화번호
01한마음부산광역시 동구 범일로 101-8, 3층 (범일동)<NA>
12신우환경산업부산광역시 동구 망양로 888-1, 지하1층 (범일동)051-638-7987
23수일종합환경(주)부산광역시 동구 중앙대로180번길 12-10, 204호 (초량동)051-463-5824
34제이피방역부산광역시 동구 자성로141번길 11, 삼환오피스텔 1101호 (범일동)<NA>
45로타리방역부산광역시 동구 자성로111번길 2-5(범일동)<NA>
56세이프클린부산광역시 동구 중앙대로196번길 12-9, 202호 (초량동)<NA>
67(주)한국분석센터부산광역시 동구 고관로 46, 부림빌딩 4층 (초량동)051-714-4692
78(주)태성방역부산광역시 동구 자성공원로 23, KT부산정보통신센터 4층 (범일동)051-640-3930
89(주)바른티앤피부산광역시 동구 중앙대로296번길 3-3, 501호 (초량동)<NA>
910동행케어부산광역시 동구 범곡북로14번길 7, 1층 (범일동)<NA>
순번소독업소명칭사무실소재지(도로명)영업소전화번호
2930세이프존 방역부산광역시 동구 초량중로 11-1, 지하1층 (초량동)051-462-1644
3031(주)부성기업부산광역시 동구 중앙대로308번길 3-5, 3층 302호 (초량동)051-441-2244
3132주)창성개발부산광역시 동구 중앙대로349번길 38 (수정동)051-468-8434
3233주)삼부종합개발부산광역시 동구 조방로49번길 18 (범일동)051-632-6382
3334(주)케이투종합관리부산광역시 동구 고관로 100, 2층 (수정동)051-851-9782
3435(주)국제보안공사부산광역시 동구 조방로49번길 18-1, 5층 (범일동)051-441-7171
3536(주)국제시큐리티부산광역시 동구 중앙대로308번길 3-5 (초량동)051-462-0881
3637(주)하이포스부산광역시 동구 성남로 39 (좌천동)051-647-5599
3738미진방역사부산광역시 동구 수정공원상로14번길 19 (수정동)<NA>
3839한미환경공사부산광역시 동구 고관로 37 (수정동)051-463-8636