Overview

Dataset statistics

Number of variables3
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory28.5 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시수영구_소독업체현황_20230911
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15080535

Alerts

순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:47:07.029059
Analysis finished2023-12-10 16:47:07.494045
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T01:47:07.575628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2023-12-11T01:47:07.722463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 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%
31 1
 
2.6%
Other values (28) 28
73.7%
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 (%)
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%
29 1
2.6%

소독업소명칭
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T01:47:07.953461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.8684211
Min length3

Characters and Unicode

Total characters261
Distinct characters106
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

Unique38 ?
Unique (%)100.0%

Sample

1st row그린라이프 협동조합
2nd row초록빛
3rd row세니코 방역
4th row(주)광시스템
5th row(주)맨파워코리아
ValueCountFrequency (%)
주식회사 2
 
4.3%
그린라이프 1
 
2.2%
주)코리아잡앤잡 1
 
2.2%
주)씨엔에스나인 1
 
2.2%
코리아방역시스템 1
 
2.2%
고려환경 1
 
2.2%
주)엠에스에코솔루션 1
 
2.2%
영남통상 1
 
2.2%
주)비엠에스코리아 1
 
2.2%
청소대장 1
 
2.2%
Other values (35) 35
76.1%
2023-12-11T01:47:08.373486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
5.4%
스 11
 
4.2%
) 11
 
4.2%
린 10
 
3.8%
( 9
 
3.4%
8
 
3.1%
방 8
 
3.1%
코 7
 
2.7%
리 6
 
2.3%
역 6
 
2.3%
Other values (96) 171
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
88.5%
Close Punctuation 11
 
4.2%
Open Punctuation 9
 
3.4%
Space Separator 8
 
3.1%
Uppercase Letter 1
 
0.4%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
6.1%
스 11
 
4.8%
린 10
 
4.3%
방 8
 
3.5%
코 7
 
3.0%
리 6
 
2.6%
역 6
 
2.6%
사 5
 
2.2%
클 5
 
2.2%
아 5
 
2.2%
Other values (91) 154
66.7%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
88.5%
Common 29
 
11.1%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
6.1%
스 11
 
4.8%
린 10
 
4.3%
방 8
 
3.5%
코 7
 
3.0%
리 6
 
2.6%
역 6
 
2.6%
사 5
 
2.2%
클 5
 
2.2%
아 5
 
2.2%
Other values (91) 154
66.7%
Common
ValueCountFrequency (%)
) 11
37.9%
( 9
31.0%
8
27.6%
5 1
 
3.4%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
88.5%
ASCII 30
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
6.1%
스 11
 
4.8%
린 10
 
4.3%
방 8
 
3.5%
코 7
 
3.0%
리 6
 
2.6%
역 6
 
2.6%
사 5
 
2.2%
클 5
 
2.2%
아 5
 
2.2%
Other values (91) 154
66.7%
ASCII
ValueCountFrequency (%)
) 11
36.7%
( 9
30.0%
8
26.7%
F 1
 
3.3%
5 1
 
3.3%

사무실소재지(도로명)
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T01:47:08.708663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length32.184211
Min length22

Characters and Unicode

Total characters1223
Distinct characters87
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row부산광역시 수영구 구락로 150, 고려제강(주) 3층 301호 (망미동)
2nd row부산광역시 수영구 과정로 20, 2층 202호 (망미동)
3rd row부산광역시 수영구 금련로43번길 26, 현대한누리타운 상가동 1층 107호 (망미동)
4th row부산광역시 수영구 광남로 50, 3층 301호 (남천동)
5th row부산광역시 수영구 수영로 685, 영동빌딩 10층 (광안동)
ValueCountFrequency (%)
부산광역시 38
 
16.0%
수영구 38
 
16.0%
망미동 13
 
5.5%
2층 10
 
4.2%
광안동 9
 
3.8%
수영동 8
 
3.4%
남천동 6
 
2.5%
수영로 4
 
1.7%
구락로 3
 
1.3%
3층 3
 
1.3%
Other values (88) 106
44.5%
2023-12-11T01:47:09.186409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
16.4%
수 65
 
5.3%
영 60
 
4.9%
광 51
 
4.2%
2 44
 
3.6%
동 44
 
3.6%
구 41
 
3.4%
산 40
 
3.3%
시 39
 
3.2%
) 39
 
3.2%
Other values (77) 600
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
58.1%
Decimal Number 201
 
16.4%
Space Separator 200
 
16.4%
Close Punctuation 39
 
3.2%
Open Punctuation 39
 
3.2%
Other Punctuation 28
 
2.3%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 65
 
9.2%
영 60
 
8.5%
광 51
 
7.2%
동 44
 
6.2%
구 41
 
5.8%
산 40
 
5.6%
시 39
 
5.5%
부 38
 
5.4%
역 38
 
5.4%
로 38
 
5.4%
Other values (62) 256
36.1%
Decimal Number
ValueCountFrequency (%)
2 44
21.9%
1 34
16.9%
3 22
10.9%
4 22
10.9%
0 18
9.0%
6 15
 
7.5%
7 13
 
6.5%
5 12
 
6.0%
9 11
 
5.5%
8 10
 
5.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
58.1%
Common 513
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 65
 
9.2%
영 60
 
8.5%
광 51
 
7.2%
동 44
 
6.2%
구 41
 
5.8%
산 40
 
5.6%
시 39
 
5.5%
부 38
 
5.4%
역 38
 
5.4%
로 38
 
5.4%
Other values (62) 256
36.1%
Common
ValueCountFrequency (%)
200
39.0%
2 44
 
8.6%
) 39
 
7.6%
( 39
 
7.6%
1 34
 
6.6%
, 28
 
5.5%
3 22
 
4.3%
4 22
 
4.3%
0 18
 
3.5%
6 15
 
2.9%
Other values (5) 52
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
58.1%
ASCII 513
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
39.0%
2 44
 
8.6%
) 39
 
7.6%
( 39
 
7.6%
1 34
 
6.6%
, 28
 
5.5%
3 22
 
4.3%
4 22
 
4.3%
0 18
 
3.5%
6 15
 
2.9%
Other values (5) 52
 
10.1%
Hangul
ValueCountFrequency (%)
수 65
 
9.2%
영 60
 
8.5%
광 51
 
7.2%
동 44
 
6.2%
구 41
 
5.8%
산 40
 
5.6%
시 39
 
5.5%
부 38
 
5.4%
역 38
 
5.4%
로 38
 
5.4%
Other values (62) 256
36.1%

Interactions

2023-12-11T01:47:07.208681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:47:09.329318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소독업소명칭사무실소재지(도로명)
순번1.0001.0000.936
소독업소명칭1.0001.0001.000
사무실소재지(도로명)0.9361.0001.000

Missing values

2023-12-11T01:47:07.362497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:47:07.457531image/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)
01그린라이프 협동조합부산광역시 수영구 구락로 150, 고려제강(주) 3층 301호 (망미동)
12초록빛부산광역시 수영구 과정로 20, 2층 202호 (망미동)
23세니코 방역부산광역시 수영구 금련로43번길 26, 현대한누리타운 상가동 1층 107호 (망미동)
34(주)광시스템부산광역시 수영구 광남로 50, 3층 301호 (남천동)
45(주)맨파워코리아부산광역시 수영구 수영로 685, 영동빌딩 10층 (광안동)
56그린크린부산광역시 수영구 금련로43번길 26, 현대한누리타운 상가동 2층 210호 (망미동)
67김집사클린부산광역시 수영구 무학로49번길 71, 광안종합시장 1층 4092-4,5호 (광안동)
78청춘클린부산광역시 수영구 수미로 72, 2층 (수영동)
89대청소부산광역시 수영구 망미번영로 15 (광안동)
910코끼리환경산업주식회사부산광역시 수영구 남천동로9번길 61, 501호 (남천동)
순번소독업소명칭사무실소재지(도로명)
2829하나클린케어부산광역시 수영구 감포로72번길 13 (민락동)
2930미래환경부산광역시 수영구 망미번영로52번길 87-29, 포르투나빌딩동 2층 (수영동)
3031부경방역부산광역시 수영구 연수로296번길 13 (망미동)
3132주식회사 우림종합관리부산광역시 수영구 연수로 267, 3층 (망미동)
3233(주)조아시스템부산광역시 수영구 연수로 393, 2층 (수영동)
3334대한방역공사부산광역시 수영구 황령대로489번길 14, 205호 (남천동, 대성상가)
3435페스텍부산광역시 수영구 연수로296번길 13 (망미동)
3536고려방제부산광역시 수영구 망미배산로42번길 24 (망미동, 고려방제)
3637고려환경부산광역시 수영구 수영로624번길 51 (광안동)
3738협성방제부산광역시 수영구 수영로666번길 37 (광안동)