Overview

Dataset statistics

Number of variables4
Number of observations27
Missing cells5
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1023.0 B
Average record size in memory37.9 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시남구소독업소현황(2019년)
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3082369

Alerts

영업소전화번호 has 5 (18.5%) missing valuesMissing
순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:31:40.294107
Analysis finished2023-12-10 17:31:41.159153
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T02:31:41.310798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-11T02:31:41.641811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

소독업소명칭
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:31:42.076247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.037037
Min length4

Characters and Unicode

Total characters190
Distinct characters68
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

Unique27 ?
Unique (%)100.0%

Sample

1st row주식회사 국보환경산업
2nd row종합건축사사무소국도
3rd row부산환경공사
4th row주식회사 유
5th row주식회사 블루샘
ValueCountFrequency (%)
주식회사 5
 
14.7%
국보환경산업 1
 
2.9%
영남방역공사 1
 
2.9%
주)구구환경공사 1
 
2.9%
한국방제공사 1
 
2.9%
태극산업 1
 
2.9%
통일환경 1
 
2.9%
산동방역 1
 
2.9%
케이피엠 1
 
2.9%
방역공사 1
 
2.9%
Other values (20) 20
58.8%
2023-12-11T02:31:43.034960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 13
 
6.8%
주 11
 
5.8%
방 11
 
5.8%
역 10
 
5.3%
7
 
3.7%
산 6
 
3.2%
공 6
 
3.2%
( 6
 
3.2%
) 6
 
3.2%
환 5
 
2.6%
Other values (58) 109
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
85.8%
Space Separator 7
 
3.7%
Open Punctuation 6
 
3.2%
Close Punctuation 6
 
3.2%
Uppercase Letter 6
 
3.2%
Other Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
8.0%
주 11
 
6.7%
방 11
 
6.7%
역 10
 
6.1%
산 6
 
3.7%
공 6
 
3.7%
환 5
 
3.1%
업 5
 
3.1%
식 5
 
3.1%
회 5
 
3.1%
Other values (51) 86
52.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
M 2
33.3%
P 2
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
85.8%
Common 21
 
11.1%
Latin 6
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
8.0%
주 11
 
6.7%
방 11
 
6.7%
역 10
 
6.1%
산 6
 
3.7%
공 6
 
3.7%
환 5
 
3.1%
업 5
 
3.1%
식 5
 
3.1%
회 5
 
3.1%
Other values (51) 86
52.8%
Common
ValueCountFrequency (%)
7
33.3%
( 6
28.6%
) 6
28.6%
. 2
 
9.5%
Latin
ValueCountFrequency (%)
C 2
33.3%
M 2
33.3%
P 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
85.8%
ASCII 27
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 13
 
8.0%
주 11
 
6.7%
방 11
 
6.7%
역 10
 
6.1%
산 6
 
3.7%
공 6
 
3.7%
환 5
 
3.1%
업 5
 
3.1%
식 5
 
3.1%
회 5
 
3.1%
Other values (51) 86
52.8%
ASCII
ValueCountFrequency (%)
7
25.9%
( 6
22.2%
) 6
22.2%
C 2
 
7.4%
M 2
 
7.4%
. 2
 
7.4%
P 2
 
7.4%

사무실소재지(도로명)
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:31:43.595316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length29.111111
Min length23

Characters and Unicode

Total characters786
Distinct characters74
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

Unique25 ?
Unique (%)92.6%

Sample

1st row부산광역시 남구 고동골로78번길 69, 해성단과학원 2층 (문현동)
2nd row부산광역시 남구 석포로 123, 4층 (대연동)
3rd row부산광역시 남구 우암로154번길 34, 장수목욕탕 지하1층 (우암동)
4th row부산광역시 남구 수영로 282, 1310호 (대연동, 현대오피스텔)
5th row부산광역시 남구 동명로 103, 1층 (용호동)
ValueCountFrequency (%)
부산광역시 27
17.1%
남구 27
17.1%
대연동 13
 
8.2%
용호동 4
 
2.5%
3층 4
 
2.5%
2층 4
 
2.5%
유엔평화로4번길 3
 
1.9%
4층 3
 
1.9%
감만동 3
 
1.9%
문현동 3
 
1.9%
Other values (59) 67
42.4%
2023-12-11T02:31:44.502061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
16.7%
1 35
 
4.5%
동 31
 
3.9%
) 29
 
3.7%
( 29
 
3.7%
부 27
 
3.4%
광 27
 
3.4%
역 27
 
3.4%
시 27
 
3.4%
남 27
 
3.4%
Other values (64) 396
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
57.3%
Space Separator 131
 
16.7%
Decimal Number 126
 
16.0%
Close Punctuation 29
 
3.7%
Open Punctuation 29
 
3.7%
Other Punctuation 19
 
2.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
6.9%
부 27
 
6.0%
광 27
 
6.0%
역 27
 
6.0%
시 27
 
6.0%
남 27
 
6.0%
구 27
 
6.0%
산 27
 
6.0%
로 27
 
6.0%
번 18
 
4.0%
Other values (49) 185
41.1%
Decimal Number
ValueCountFrequency (%)
1 35
27.8%
2 22
17.5%
4 16
12.7%
3 16
12.7%
0 10
 
7.9%
7 7
 
5.6%
6 7
 
5.6%
8 6
 
4.8%
5 4
 
3.2%
9 3
 
2.4%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
57.3%
Common 336
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
6.9%
부 27
 
6.0%
광 27
 
6.0%
역 27
 
6.0%
시 27
 
6.0%
남 27
 
6.0%
구 27
 
6.0%
산 27
 
6.0%
로 27
 
6.0%
번 18
 
4.0%
Other values (49) 185
41.1%
Common
ValueCountFrequency (%)
131
39.0%
1 35
 
10.4%
) 29
 
8.6%
( 29
 
8.6%
2 22
 
6.5%
, 19
 
5.7%
4 16
 
4.8%
3 16
 
4.8%
0 10
 
3.0%
7 7
 
2.1%
Other values (5) 22
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
57.3%
ASCII 336
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
39.0%
1 35
 
10.4%
) 29
 
8.6%
( 29
 
8.6%
2 22
 
6.5%
, 19
 
5.7%
4 16
 
4.8%
3 16
 
4.8%
0 10
 
3.0%
7 7
 
2.1%
Other values (5) 22
 
6.5%
Hangul
ValueCountFrequency (%)
동 31
 
6.9%
부 27
 
6.0%
광 27
 
6.0%
역 27
 
6.0%
시 27
 
6.0%
남 27
 
6.0%
구 27
 
6.0%
산 27
 
6.0%
로 27
 
6.0%
번 18
 
4.0%
Other values (49) 185
41.1%

영업소전화번호
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing5
Missing (%)18.5%
Memory size348.0 B
2023-12-11T02:31:44.940528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length12

Characters and Unicode

Total characters265
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

Unique20 ?
Unique (%)90.9%

Sample

1st row051-631-2931
2nd row051-623-0931
3rd row051-625-8503
4th row051-633-2006
5th row051-808-4306
ValueCountFrequency (%)
051-627-4842 2
 
9.1%
051-643-9365 1
 
4.5%
051-469-0900 1
 
4.5%
051-628-2886 1
 
4.5%
051-632-9941 1
 
4.5%
051-469-2268 1
 
4.5%
051-644-6214 1
 
4.5%
051-611-2739 1
 
4.5%
051-635-8086 1
 
4.5%
051-623-7139 1
 
4.5%
Other values (11) 11
50.0%
2023-12-11T02:31:45.705649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.6%
0 38
14.3%
1 32
12.1%
6 32
12.1%
5 28
10.6%
2 22
8.3%
4 18
6.8%
8 15
 
5.7%
3 15
 
5.7%
9 12
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
83.4%
Dash Punctuation 44
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
17.2%
1 32
14.5%
6 32
14.5%
5 28
12.7%
2 22
10.0%
4 18
8.1%
8 15
 
6.8%
3 15
 
6.8%
9 12
 
5.4%
7 9
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.6%
0 38
14.3%
1 32
12.1%
6 32
12.1%
5 28
10.6%
2 22
8.3%
4 18
6.8%
8 15
 
5.7%
3 15
 
5.7%
9 12
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.6%
0 38
14.3%
1 32
12.1%
6 32
12.1%
5 28
10.6%
2 22
8.3%
4 18
6.8%
8 15
 
5.7%
3 15
 
5.7%
9 12
 
4.5%

Interactions

2023-12-11T02:31:40.609051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:31:45.952419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소독업소명칭사무실소재지(도로명)영업소전화번호
순번1.0001.0000.9000.932
소독업소명칭1.0001.0001.0001.000
사무실소재지(도로명)0.9001.0001.0001.000
영업소전화번호0.9321.0001.0001.000

Missing values

2023-12-11T02:31:40.883668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:31:41.079405image/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
01주식회사 국보환경산업부산광역시 남구 고동골로78번길 69, 해성단과학원 2층 (문현동)<NA>
12종합건축사사무소국도부산광역시 남구 석포로 123, 4층 (대연동)<NA>
23부산환경공사부산광역시 남구 우암로154번길 34, 장수목욕탕 지하1층 (우암동)051-631-2931
34주식회사 유부산광역시 남구 수영로 282, 1310호 (대연동, 현대오피스텔)051-623-0931
45주식회사 블루샘부산광역시 남구 동명로 103, 1층 (용호동)<NA>
56에이스 방역소독부산광역시 남구 황령대로353번길 6 (대연동)<NA>
67바이벅스부산광역시 남구 유엔로120번길 23 (대연동)051-625-8503
78피씨엠방역(PCM방역)부산광역시 남구 우암로 48, 4층 (감만동)051-633-2006
89(주)주우관리부산광역시 남구 유엔평화로 21, 3층 (대연동, 민제빌딩)051-808-4306
910동우씨엠남부영업소부산광역시 남구 지게골로 196, 지하층 1호 (문현동)051-621-5660
순번소독업소명칭사무실소재지(도로명)영업소전화번호
1718주식회사 보승부산광역시 남구 지게골로 101-22 (문현동)051-643-9365
1819제명 방역공사부산광역시 남구 유엔로201번길 43 (대연동)051-623-7139
1920케이피엠부산광역시 남구 우암로104번길 29, 111동 201호 (감만동)051-635-8086
2021산동방역부산광역시 남구 용호로110번길 17 (용호동)051-611-2739
2122통일환경부산광역시 남구 양지골로 267 (감만동)051-644-6214
2223주식회사 태극산업부산광역시 남구 유엔평화로4번길 81, 3층 (대연동)051-627-4842
2324한국방제공사부산광역시 남구 유엔평화로10번길 37 (대연동)051-469-2268
2425(주)구구환경공사부산광역시 남구 우암로154번길 57 (우암동)051-632-9941
2526영남방역공사부산광역시 남구 석포로127번길 23 (대연동)051-628-2886
2627부산방역공사부산광역시 남구 유엔로 104-1 (대연동, (2층))051-624-8464