Overview

Dataset statistics

Number of variables4
Number of observations50
Missing cells21
Missing cells (%)10.5%
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_금정구_방역소독업체현황_20221122
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025843

Alerts

영업소전화번호 has 21 (42.0%) missing valuesMissing
순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:36:02.289249
Analysis finished2023-12-10 16:36:03.000307
Duration0.71 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
2023-12-11T01:36:03.109995image/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
2023-12-11T01:36:03.328386image/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
2023-12-11T01:36:03.673867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11.5
Mean length7.04
Min length3

Characters and Unicode

Total characters352
Distinct characters136
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

Unique50 ?
Unique (%)100.0%

Sample

1st row사회단체선행회사업본부
2nd row오케이 테크
3rd row사회적기업 유디코
4th row동화기업(주)
5th row부산청소대행 끗
ValueCountFrequency (%)
주식회사 5
 
7.2%
코리아 2
 
2.9%
사회단체선행회사업본부 1
 
1.4%
토탈케어 1
 
1.4%
그린사랑 1
 
1.4%
홍크린 1
 
1.4%
청정하늘방역 1
 
1.4%
에코존 1
 
1.4%
부산경남클린 1
 
1.4%
에코스캔 1
 
1.4%
Other values (54) 54
78.3%
2023-12-11T01:36:04.180247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
5.4%
이 17
 
4.8%
주 14
 
4.0%
사 12
 
3.4%
( 10
 
2.8%
) 10
 
2.8%
회 8
 
2.3%
스 7
 
2.0%
업 7
 
2.0%
방 7
 
2.0%
Other values (126) 241
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
84.4%
Space Separator 19
 
5.4%
Open Punctuation 10
 
2.8%
Close Punctuation 10
 
2.8%
Uppercase Letter 9
 
2.6%
Decimal Number 3
 
0.9%
Lowercase Letter 3
 
0.9%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 17
 
5.7%
주 14
 
4.7%
사 12
 
4.0%
회 8
 
2.7%
스 7
 
2.4%
업 7
 
2.4%
방 7
 
2.4%
케 6
 
2.0%
어 6
 
2.0%
코 6
 
2.0%
Other values (111) 207
69.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
K 2
22.2%
E 1
 
11.1%
D 1
 
11.1%
J 1
 
11.1%
F 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
r 1
33.3%
e 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
84.4%
Common 43
 
12.2%
Latin 12
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 17
 
5.7%
주 14
 
4.7%
사 12
 
4.0%
회 8
 
2.7%
스 7
 
2.4%
업 7
 
2.4%
방 7
 
2.4%
케 6
 
2.0%
어 6
 
2.0%
코 6
 
2.0%
Other values (111) 207
69.7%
Latin
ValueCountFrequency (%)
C 3
25.0%
K 2
16.7%
E 1
 
8.3%
D 1
 
8.3%
J 1
 
8.3%
a 1
 
8.3%
r 1
 
8.3%
e 1
 
8.3%
F 1
 
8.3%
Common
ValueCountFrequency (%)
19
44.2%
( 10
23.3%
) 10
23.3%
1 2
 
4.7%
9 1
 
2.3%
. 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
84.4%
ASCII 55
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
34.5%
( 10
18.2%
) 10
18.2%
C 3
 
5.5%
1 2
 
3.6%
K 2
 
3.6%
9 1
 
1.8%
E 1
 
1.8%
D 1
 
1.8%
J 1
 
1.8%
Other values (5) 5
 
9.1%
Hangul
ValueCountFrequency (%)
이 17
 
5.7%
주 14
 
4.7%
사 12
 
4.0%
회 8
 
2.7%
스 7
 
2.4%
업 7
 
2.4%
방 7
 
2.4%
케 6
 
2.0%
어 6
 
2.0%
코 6
 
2.0%
Other values (111) 207
69.7%

사무실소재지(도로명)
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T01:36:04.562161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40.5
Mean length30.62
Min length21

Characters and Unicode

Total characters1531
Distinct characters99
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 금정구 동부곡로10번길 6(부곡동)
2nd row부산광역시 금정구 중앙대로2001번길 24, 화이트타운 501호 (남산동)
3rd row부산광역시 금정구 체육공원로 686, 1층 (두구동)
4th row부산광역시 금정구 가마실로 54, 1층 (부곡동)
5th row부산광역시 금정구 부산대학로 10, 29동 B층 01-4호 (부곡동, 대우아파트)
ValueCountFrequency (%)
부산광역시 50
 
16.6%
금정구 49
 
16.3%
1층 13
 
4.3%
부곡동 9
 
3.0%
남산동 9
 
3.0%
구서동 8
 
2.7%
2층 8
 
2.7%
서동 7
 
2.3%
장전동 5
 
1.7%
지하1층 4
 
1.3%
Other values (118) 139
46.2%
2023-12-11T01:36:05.176280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
 
16.5%
부 68
 
4.4%
산 67
 
4.4%
동 64
 
4.2%
금 63
 
4.1%
구 61
 
4.0%
정 52
 
3.4%
시 51
 
3.3%
) 51
 
3.3%
( 51
 
3.3%
Other values (89) 751
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 890
58.1%
Space Separator 252
 
16.5%
Decimal Number 232
 
15.2%
Close Punctuation 51
 
3.3%
Open Punctuation 51
 
3.3%
Other Punctuation 44
 
2.9%
Dash Punctuation 8
 
0.5%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 68
 
7.6%
산 67
 
7.5%
동 64
 
7.2%
금 63
 
7.1%
구 61
 
6.9%
정 52
 
5.8%
시 51
 
5.7%
역 50
 
5.6%
광 50
 
5.6%
로 48
 
5.4%
Other values (71) 316
35.5%
Decimal Number
ValueCountFrequency (%)
1 49
21.1%
2 38
16.4%
0 26
11.2%
4 25
10.8%
3 23
9.9%
5 19
 
8.2%
6 17
 
7.3%
7 14
 
6.0%
9 13
 
5.6%
8 8
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
D 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 890
58.1%
Common 638
41.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 68
 
7.6%
산 67
 
7.5%
동 64
 
7.2%
금 63
 
7.1%
구 61
 
6.9%
정 52
 
5.8%
시 51
 
5.7%
역 50
 
5.6%
광 50
 
5.6%
로 48
 
5.4%
Other values (71) 316
35.5%
Common
ValueCountFrequency (%)
252
39.5%
) 51
 
8.0%
( 51
 
8.0%
1 49
 
7.7%
, 44
 
6.9%
2 38
 
6.0%
0 26
 
4.1%
4 25
 
3.9%
3 23
 
3.6%
5 19
 
3.0%
Other values (5) 60
 
9.4%
Latin
ValueCountFrequency (%)
E 1
33.3%
D 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 890
58.1%
ASCII 641
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
39.3%
) 51
 
8.0%
( 51
 
8.0%
1 49
 
7.6%
, 44
 
6.9%
2 38
 
5.9%
0 26
 
4.1%
4 25
 
3.9%
3 23
 
3.6%
5 19
 
3.0%
Other values (8) 63
 
9.8%
Hangul
ValueCountFrequency (%)
부 68
 
7.6%
산 67
 
7.5%
동 64
 
7.2%
금 63
 
7.1%
구 61
 
6.9%
정 52
 
5.8%
시 51
 
5.7%
역 50
 
5.6%
광 50
 
5.6%
로 48
 
5.4%
Other values (71) 316
35.5%

영업소전화번호
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing21
Missing (%)42.0%
Memory size532.0 B
2023-12-11T01:36:05.469660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.172414
Min length8

Characters and Unicode

Total characters324
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

Unique29 ?
Unique (%)100.0%

Sample

1st row051-465-4036
2nd row051-862-8090
3rd row051-515-9991
4th row051-512-8210
5th row051-527-0369
ValueCountFrequency (%)
051-465-4036 1
 
3.4%
051-517-7004 1
 
3.4%
515-2201 1
 
3.4%
582-3011 1
 
3.4%
051-583-7672 1
 
3.4%
524-5220 1
 
3.4%
051-517-0116 1
 
3.4%
051-507-6071 1
 
3.4%
553-8119 1
 
3.4%
051-516-3636 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T01:36:06.053491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 53
16.4%
- 51
15.7%
0 49
15.1%
1 46
14.2%
2 24
7.4%
6 23
7.1%
9 20
 
6.2%
7 19
 
5.9%
3 16
 
4.9%
8 15
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 273
84.3%
Dash Punctuation 51
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 53
19.4%
0 49
17.9%
1 46
16.8%
2 24
8.8%
6 23
8.4%
9 20
 
7.3%
7 19
 
7.0%
3 16
 
5.9%
8 15
 
5.5%
4 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 53
16.4%
- 51
15.7%
0 49
15.1%
1 46
14.2%
2 24
7.4%
6 23
7.1%
9 20
 
6.2%
7 19
 
5.9%
3 16
 
4.9%
8 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 53
16.4%
- 51
15.7%
0 49
15.1%
1 46
14.2%
2 24
7.4%
6 23
7.1%
9 20
 
6.2%
7 19
 
5.9%
3 16
 
4.9%
8 15
 
4.6%

Interactions

2023-12-11T01:36:02.655035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:36:06.213189image/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

2023-12-11T01:36:02.809755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:36:02.949917image/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
01사회단체선행회사업본부부산광역시 금정구 동부곡로10번길 6(부곡동)<NA>
12오케이 테크부산광역시 금정구 중앙대로2001번길 24, 화이트타운 501호 (남산동)<NA>
23사회적기업 유디코부산광역시 금정구 체육공원로 686, 1층 (두구동)<NA>
34동화기업(주)부산광역시 금정구 가마실로 54, 1층 (부곡동)051-465-4036
45부산청소대행 끗부산광역시 금정구 부산대학로 10, 29동 B층 01-4호 (부곡동, 대우아파트)<NA>
56방역의 고수부산광역시 금정구 금강로633번길 9(남산동)<NA>
67가꿈복지직업재활시설부산광역시 금정구 금사로 9, 지하2층 (서동, 트레비앙)051-862-8090
78(주)유강솔루션부산광역시 금정구 중앙대로 1946, 3층층 (남산동)051-515-9991
89K방역부산광역시 금정구 두실로7번길 34, 1호 (구서동, 영창주택)051-512-8210
910케이원부산광역시 금정구 서동시장뒷길 53-1(서동)<NA>
순번소독업소명칭사무실소재지(도로명)영업소전화번호
4041주식회사 하이진테크부산광역시 금정구 금정로 113 (장전동)051-515-3690
4142대가종합환경부산광역시 금정구 가마실로 38-1, 1층 (부곡동)051-516-3636
4243바이벅스부산광역시 금정구 중앙대로1944번길 30, 2층 201호 (구서동)553-8119
4344(주)만비종합관리부산광역시 금정구 금강로 217, 상가2동 104호 (장전동, 지에스금정아파트)051-507-6071
4445(주)경동기업부산광역시 금정구 남산로 2 (남산동)051-517-0116
4546하얀도시부산광역시 금정구 서부로69번길 22-1 (서동)524-5220
4647KEC 한국방제공사부산광역시 금정구 금강로709번길 46 (남산동)051-583-7672
4748미래메인터넌스부산광역시 금샘로 592 (금강빌딩4층)582-3011
4849바콤119부산광역시 금정구 두실로 13 (구서동)515-2201
4950고려환경이엔지부산광역시 금정구 오륜대로 38 (부곡동)583-3622