Overview

Dataset statistics

Number of variables4
Number of observations50
Missing cells25
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory35.6 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시_사상구_소독업소현황_20230706
Author부산광역시 사상구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3078761

Alerts

영업소전화번호 has 25 (50.0%) missing valuesMissing
순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:08:32.368026
Analysis finished2023-12-10 16:08:32.967036
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T01:08:33.056682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2023-12-11T01:08:33.238202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

소독업소명칭
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T01:08:33.515696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.96
Min length2

Characters and Unicode

Total characters348
Distinct characters130
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

Unique50 ?
Unique (%)100.0%

Sample

1st row(주)씨티에스
2nd row(주)청명환경산업
3rd row유한방역
4th row우리크린방역
5th row나우환경
ValueCountFrequency (%)
주식회사 5
 
7.6%
주)씨티에스 1
 
1.5%
조은환경 1
 
1.5%
퍼팩트홍케어 1
 
1.5%
제일방역 1
 
1.5%
한국방역 1
 
1.5%
버그클리닉 1
 
1.5%
에쓰씨에쓰(scs 1
 
1.5%
버그아웃 1
 
1.5%
주)서원 1
 
1.5%
Other values (52) 52
78.8%
2023-12-11T01:08:34.016224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
6.0%
( 16
 
4.6%
) 16
 
4.6%
16
 
4.6%
스 13
 
3.7%
방 10
 
2.9%
사 10
 
2.9%
린 10
 
2.9%
역 9
 
2.6%
이 8
 
2.3%
Other values (120) 219
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
84.8%
Open Punctuation 16
 
4.6%
Close Punctuation 16
 
4.6%
Space Separator 16
 
4.6%
Uppercase Letter 4
 
1.1%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
7.1%
스 13
 
4.4%
방 10
 
3.4%
사 10
 
3.4%
린 10
 
3.4%
역 9
 
3.1%
이 8
 
2.7%
우 7
 
2.4%
회 6
 
2.0%
환 6
 
2.0%
Other values (113) 195
66.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
C 1
25.0%
F 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
84.8%
Common 49
 
14.1%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
7.1%
스 13
 
4.4%
방 10
 
3.4%
사 10
 
3.4%
린 10
 
3.4%
역 9
 
3.1%
이 8
 
2.7%
우 7
 
2.4%
회 6
 
2.0%
환 6
 
2.0%
Other values (113) 195
66.1%
Common
ValueCountFrequency (%)
( 16
32.7%
) 16
32.7%
16
32.7%
5 1
 
2.0%
Latin
ValueCountFrequency (%)
S 2
50.0%
C 1
25.0%
F 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
84.8%
ASCII 53
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
7.1%
스 13
 
4.4%
방 10
 
3.4%
사 10
 
3.4%
린 10
 
3.4%
역 9
 
3.1%
이 8
 
2.7%
우 7
 
2.4%
회 6
 
2.0%
환 6
 
2.0%
Other values (113) 195
66.1%
ASCII
ValueCountFrequency (%)
( 16
30.2%
) 16
30.2%
16
30.2%
S 2
 
3.8%
C 1
 
1.9%
5 1
 
1.9%
F 1
 
1.9%

사무실소재지(도로명)
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T01:08:34.314524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length36.24
Min length22

Characters and Unicode

Total characters1812
Distinct characters121
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

Unique48 ?
Unique (%)96.0%

Sample

1st row부산광역시 사상구 대동로 95-8, 한울아카데미텔 8층 (학장동)
2nd row부산광역시 사상구 학감대로134번길 28, 1층 (학장동)
3rd row부산광역시 사상구 새벽로 131, 부산산업용재유통상가 3동 210호 (감전동)
4th row부산광역시 사상구 주례로 93, 상가2동 지하1층 3호 (주례동, 현대무지개타운)
5th row부산광역시 사상구 낙동대로1244번길 27, 지하1층 (삼락동)
ValueCountFrequency (%)
부산광역시 50
 
14.1%
사상구 50
 
14.1%
감전동 16
 
4.5%
1층 11
 
3.1%
새벽로 9
 
2.5%
131 9
 
2.5%
주례동 9
 
2.5%
3층 7
 
2.0%
2층 6
 
1.7%
부산산업용재유통상가 6
 
1.7%
Other values (132) 181
51.1%
2023-12-11T01:08:34.769439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
 
16.8%
1 92
 
5.1%
동 82
 
4.5%
상 67
 
3.7%
산 66
 
3.6%
부 59
 
3.3%
사 57
 
3.1%
광 52
 
2.9%
시 51
 
2.8%
로 51
 
2.8%
Other values (111) 931
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
57.1%
Decimal Number 314
 
17.3%
Space Separator 304
 
16.8%
Open Punctuation 50
 
2.8%
Close Punctuation 50
 
2.8%
Other Punctuation 47
 
2.6%
Uppercase Letter 7
 
0.4%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 82
 
7.9%
상 67
 
6.5%
산 66
 
6.4%
부 59
 
5.7%
사 57
 
5.5%
광 52
 
5.0%
시 51
 
4.9%
로 51
 
4.9%
구 50
 
4.8%
역 50
 
4.8%
Other values (90) 449
43.4%
Decimal Number
ValueCountFrequency (%)
1 92
29.3%
3 50
15.9%
2 40
12.7%
0 31
 
9.9%
4 28
 
8.9%
5 17
 
5.4%
8 16
 
5.1%
9 15
 
4.8%
7 15
 
4.8%
6 10
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
A 1
14.3%
C 1
14.3%
S 1
14.3%
D 1
14.3%
I 1
14.3%
Space Separator
ValueCountFrequency (%)
304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1034
57.1%
Common 771
42.5%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 82
 
7.9%
상 67
 
6.5%
산 66
 
6.4%
부 59
 
5.7%
사 57
 
5.5%
광 52
 
5.0%
시 51
 
4.9%
로 51
 
4.9%
구 50
 
4.8%
역 50
 
4.8%
Other values (90) 449
43.4%
Common
ValueCountFrequency (%)
304
39.4%
1 92
 
11.9%
( 50
 
6.5%
3 50
 
6.5%
) 50
 
6.5%
, 47
 
6.1%
2 40
 
5.2%
0 31
 
4.0%
4 28
 
3.6%
5 17
 
2.2%
Other values (5) 62
 
8.0%
Latin
ValueCountFrequency (%)
B 2
28.6%
A 1
14.3%
C 1
14.3%
S 1
14.3%
D 1
14.3%
I 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
57.1%
ASCII 778
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
39.1%
1 92
 
11.8%
( 50
 
6.4%
3 50
 
6.4%
) 50
 
6.4%
, 47
 
6.0%
2 40
 
5.1%
0 31
 
4.0%
4 28
 
3.6%
5 17
 
2.2%
Other values (11) 69
 
8.9%
Hangul
ValueCountFrequency (%)
동 82
 
7.9%
상 67
 
6.5%
산 66
 
6.4%
부 59
 
5.7%
사 57
 
5.5%
광 52
 
5.0%
시 51
 
4.9%
로 51
 
4.9%
구 50
 
4.8%
역 50
 
4.8%
Other values (90) 449
43.4%

영업소전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing25
Missing (%)50.0%
Memory size532.0 B
2023-12-11T01:08:35.008268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.68
Min length9

Characters and Unicode

Total characters292
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

Unique25 ?
Unique (%)100.0%

Sample

1st row051-466-6385
2nd row1661-7251
3rd row1899-1579
4th row051-302-0609
5th row051-317-3332
ValueCountFrequency (%)
051-466-6385 1
 
4.0%
051-311-6669 1
 
4.0%
051-301-8681 1
 
4.0%
051-863-4070 1
 
4.0%
051-312-8271 1
 
4.0%
051-311-2288 1
 
4.0%
051-311-1469 1
 
4.0%
051-315-2613 1
 
4.0%
070-7718-8282 1
 
4.0%
051-804-7475 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T01:08:35.789694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 51
17.5%
- 47
16.1%
5 34
11.6%
0 33
11.3%
3 33
11.3%
2 21
7.2%
8 19
 
6.5%
6 18
 
6.2%
7 14
 
4.8%
4 12
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 245
83.9%
Dash Punctuation 47
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 51
20.8%
5 34
13.9%
0 33
13.5%
3 33
13.5%
2 21
8.6%
8 19
 
7.8%
6 18
 
7.3%
7 14
 
5.7%
4 12
 
4.9%
9 10
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 51
17.5%
- 47
16.1%
5 34
11.6%
0 33
11.3%
3 33
11.3%
2 21
7.2%
8 19
 
6.5%
6 18
 
6.2%
7 14
 
4.8%
4 12
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 51
17.5%
- 47
16.1%
5 34
11.6%
0 33
11.3%
3 33
11.3%
2 21
7.2%
8 19
 
6.5%
6 18
 
6.2%
7 14
 
4.8%
4 12
 
4.1%

Interactions

2023-12-11T01:08:32.653724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:08:35.912443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소독업소명칭사무실소재지(도로명)영업소전화번호
순번1.0001.0000.9341.000
소독업소명칭1.0001.0001.0001.000
사무실소재지(도로명)0.9341.0001.0001.000
영업소전화번호1.0001.0001.0001.000

Missing values

2023-12-11T01:08:32.796724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:08:32.919456image/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
01(주)씨티에스부산광역시 사상구 대동로 95-8, 한울아카데미텔 8층 (학장동)051-466-6385
12(주)청명환경산업부산광역시 사상구 학감대로134번길 28, 1층 (학장동)1661-7251
23유한방역부산광역시 사상구 새벽로 131, 부산산업용재유통상가 3동 210호 (감전동)<NA>
34우리크린방역부산광역시 사상구 주례로 93, 상가2동 지하1층 3호 (주례동, 현대무지개타운)1899-1579
45나우환경부산광역시 사상구 낙동대로1244번길 27, 지하1층 (삼락동)<NA>
56포시즌 홈케어부산광역시 사상구 사상로 320, 102동 1802호 (덕포동, 비룡벨로스텔라)<NA>
67(주)가더스부산광역시 사상구 백양대로804번길 31, 상가111동 3층 303호 (덕포동, 부원파크타운)051-302-0609
78패스원방역부산광역시 사상구 새벽로 131, 부산산업용재유통상가 1동 311, 312호 (감전동)<NA>
89진 인테리어부산광역시 사상구 대동로64번길 20, 무학다솜타운 108동 2층 201호 (엄궁동)<NA>
910주식회사 컴피부산광역시 사상구 백양대로768번길 93, B동 1층 101호 (덕포동)051-317-3332
순번소독업소명칭사무실소재지(도로명)영업소전화번호
4041(주)크린케어부산광역시 사상구 가야대로277번길 29, 2층 (주례동)051-804-7475
4142(주)비에스 서비스부산광역시 사상구 낙동대로 910, B동 1층 129호 (감전동, 마트월드)070-7718-8282
4243클린라이프방역부산광역시 사상구 새벽로 131, 부산산업용재유통상가 2동 3층 331호 (감전동)<NA>
4344(주)우주기업부산광역시 사상구 사상로 178 (괘법동)051-315-2613
4445디오클린시스템부산광역시 사상구 가야대로388번길 12 (주례동)051-311-1469
4546(주)신우시스템부산광역시 사상구 새벽시장로56번가길 41 (감전동)051-311-2288
4647극동방제진흥공사부산광역시 사상구 주례로 222 (학장동, 학장동양아파트 상가 18동 105호)051-312-8271
4748(주)나우시스템부산광역시 사상구 가야대로103번길 26, 일양택배 2층 (감전동)051-863-4070
4849한국방역부산광역시 사상구 새벽로 131 (감전동)051-312-1158
4950창부방역부산광역시 사상구 새벽로 131, 1동 3층 315호 (감전동)<NA>