Overview

Dataset statistics

Number of variables4
Number of observations52
Missing cells7
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory34.5 B

Variable types

Unsupported1
Text3

Dataset

Description소독업소현황
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3066440

Alerts

소독업소 현황(의창구, 성산구) has 1 (1.9%) missing valuesMissing
Unnamed: 1 has 1 (1.9%) missing valuesMissing
Unnamed: 2 has 1 (1.9%) missing valuesMissing
Unnamed: 3 has 4 (7.7%) missing valuesMissing
소독업소 현황(의창구, 성산구) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 19:55:38.470608
Analysis finished2024-04-17 19:55:38.892773
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소독업소 현황(의창구, 성산구)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)1.9%
Memory size548.0 B

Unnamed: 1
Text

MISSING 

Distinct51
Distinct (%)100.0%
Missing1
Missing (%)1.9%
Memory size548.0 B
2024-04-18T04:55:39.043921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length7.2352941
Min length2

Characters and Unicode

Total characters369
Distinct characters114
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row업 체 명
2nd row마스터크린시스템창원지사
3rd row주식회사 진양티엠에스
4th row(주)건영엔지니어링
5th row우리환경
ValueCountFrequency (%)
업 1
 
1.8%
미래환경개발 1
 
1.8%
주)퍼시픽우진경남지사 1
 
1.8%
주)시온 1
 
1.8%
한창산업(주 1
 
1.8%
주)세스코경남동부지사 1
 
1.8%
경남동부지사 1
 
1.8%
에코유(eco 1
 
1.8%
you 1
 
1.8%
주)태산크린파워 1
 
1.8%
Other values (47) 47
82.5%
2024-04-18T04:55:39.342695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
7.0%
) 25
 
6.8%
( 21
 
5.7%
에 14
 
3.8%
스 14
 
3.8%
사 12
 
3.3%
경 11
 
3.0%
방 10
 
2.7%
원 9
 
2.4%
역 8
 
2.2%
Other values (104) 219
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
84.0%
Close Punctuation 25
 
6.8%
Open Punctuation 21
 
5.7%
Uppercase Letter 6
 
1.6%
Space Separator 4
 
1.1%
Control 2
 
0.5%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
8.4%
에 14
 
4.5%
스 14
 
4.5%
사 12
 
3.9%
경 11
 
3.5%
방 10
 
3.2%
원 9
 
2.9%
역 8
 
2.6%
업 6
 
1.9%
창 6
 
1.9%
Other values (94) 194
62.6%
Uppercase Letter
ValueCountFrequency (%)
O 2
33.3%
E 1
16.7%
C 1
16.7%
Y 1
16.7%
U 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
84.3%
Common 52
 
14.1%
Latin 6
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
8.4%
에 14
 
4.5%
스 14
 
4.5%
사 12
 
3.9%
경 11
 
3.5%
방 10
 
3.2%
원 9
 
2.9%
역 8
 
2.6%
업 6
 
1.9%
창 6
 
1.9%
Other values (95) 195
62.7%
Latin
ValueCountFrequency (%)
O 2
33.3%
E 1
16.7%
C 1
16.7%
Y 1
16.7%
U 1
16.7%
Common
ValueCountFrequency (%)
) 25
48.1%
( 21
40.4%
4
 
7.7%
2
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
84.0%
ASCII 58
 
15.7%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
8.4%
에 14
 
4.5%
스 14
 
4.5%
사 12
 
3.9%
경 11
 
3.5%
방 10
 
3.2%
원 9
 
2.9%
역 8
 
2.6%
업 6
 
1.9%
창 6
 
1.9%
Other values (94) 194
62.6%
ASCII
ValueCountFrequency (%)
) 25
43.1%
( 21
36.2%
4
 
6.9%
O 2
 
3.4%
2
 
3.4%
E 1
 
1.7%
C 1
 
1.7%
Y 1
 
1.7%
U 1
 
1.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct51
Distinct (%)100.0%
Missing1
Missing (%)1.9%
Memory size548.0 B
2024-04-18T04:55:39.544914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length32.039216
Min length9

Characters and Unicode

Total characters1634
Distinct characters119
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

Unique51 ?
Unique (%)100.0%

Sample

1st row소 재 지
2nd row창원시 의창구 하남천동길44번길 5-7, 101호 (도계동)
3rd row창원시 의창구 읍성로101번길 12 (소답동)
4th row창원시 의창구 차상로72번길 5-7, 107동 2층 (팔용동)
5th row창원시 의창구 신월로 42, 204호 (신월동, 토월복합상가)
ValueCountFrequency (%)
창원시 50
 
15.9%
의창구 37
 
11.8%
도계동 13
 
4.1%
성산구 13
 
4.1%
1층 7
 
2.2%
도계로 5
 
1.6%
102 5
 
1.6%
팔용동 4
 
1.3%
대남상가 3
 
1.0%
28 3
 
1.0%
Other values (140) 174
55.4%
2024-04-18T04:55:39.849800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
 
16.4%
창 94
 
5.8%
1 80
 
4.9%
, 62
 
3.8%
동 56
 
3.4%
원 56
 
3.4%
2 51
 
3.1%
시 50
 
3.1%
구 50
 
3.1%
) 47
 
2.9%
Other values (109) 820
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 900
55.1%
Decimal Number 297
 
18.2%
Space Separator 268
 
16.4%
Other Punctuation 62
 
3.8%
Close Punctuation 47
 
2.9%
Open Punctuation 47
 
2.9%
Dash Punctuation 12
 
0.7%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 94
 
10.4%
동 56
 
6.2%
원 56
 
6.2%
시 50
 
5.6%
구 50
 
5.6%
의 41
 
4.6%
로 41
 
4.6%
길 39
 
4.3%
호 36
 
4.0%
번 32
 
3.6%
Other values (93) 405
45.0%
Decimal Number
ValueCountFrequency (%)
1 80
26.9%
2 51
17.2%
0 41
13.8%
3 23
 
7.7%
4 22
 
7.4%
5 21
 
7.1%
6 18
 
6.1%
7 18
 
6.1%
8 14
 
4.7%
9 9
 
3.0%
Space Separator
ValueCountFrequency (%)
268
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 900
55.1%
Common 733
44.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 94
 
10.4%
동 56
 
6.2%
원 56
 
6.2%
시 50
 
5.6%
구 50
 
5.6%
의 41
 
4.6%
로 41
 
4.6%
길 39
 
4.3%
호 36
 
4.0%
번 32
 
3.6%
Other values (93) 405
45.0%
Common
ValueCountFrequency (%)
268
36.6%
1 80
 
10.9%
, 62
 
8.5%
2 51
 
7.0%
) 47
 
6.4%
( 47
 
6.4%
0 41
 
5.6%
3 23
 
3.1%
4 22
 
3.0%
5 21
 
2.9%
Other values (5) 71
 
9.7%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 900
55.1%
ASCII 734
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
36.5%
1 80
 
10.9%
, 62
 
8.4%
2 51
 
6.9%
) 47
 
6.4%
( 47
 
6.4%
0 41
 
5.6%
3 23
 
3.1%
4 22
 
3.0%
5 21
 
2.9%
Other values (6) 72
 
9.8%
Hangul
ValueCountFrequency (%)
창 94
 
10.4%
동 56
 
6.2%
원 56
 
6.2%
시 50
 
5.6%
구 50
 
5.6%
의 41
 
4.6%
로 41
 
4.6%
길 39
 
4.3%
호 36
 
4.0%
번 32
 
3.6%
Other values (93) 405
45.0%

Unnamed: 3
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing4
Missing (%)7.7%
Memory size548.0 B
2024-04-18T04:55:40.289092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0208333
Min length8

Characters and Unicode

Total characters385
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row업체전화(일반)
2nd row288-2588
3rd row296-6677
4th row298-2449
5th row284-4689
ValueCountFrequency (%)
273-7470 2
 
4.2%
277-4430 1
 
2.1%
277-7163 1
 
2.1%
252-2240 1
 
2.1%
296-2625 1
 
2.1%
284-3090 1
 
2.1%
265-9555 1
 
2.1%
265-3347 1
 
2.1%
252-3911 1
 
2.1%
264-2915 1
 
2.1%
Other values (37) 37
77.1%
2024-04-18T04:55:40.548936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 67
17.4%
- 47
12.2%
7 36
9.4%
6 36
9.4%
5 33
8.6%
3 33
8.6%
4 28
7.3%
9 26
 
6.8%
8 26
 
6.8%
0 23
 
6.0%
Other values (10) 30
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 329
85.5%
Dash Punctuation 47
 
12.2%
Other Letter 6
 
1.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 67
20.4%
7 36
10.9%
6 36
10.9%
5 33
10.0%
3 33
10.0%
4 28
8.5%
9 26
 
7.9%
8 26
 
7.9%
0 23
 
7.0%
1 21
 
6.4%
Other Letter
ValueCountFrequency (%)
업 1
16.7%
체 1
16.7%
전 1
16.7%
화 1
16.7%
일 1
16.7%
반 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 379
98.4%
Hangul 6
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 67
17.7%
- 47
12.4%
7 36
9.5%
6 36
9.5%
5 33
8.7%
3 33
8.7%
4 28
7.4%
9 26
 
6.9%
8 26
 
6.9%
0 23
 
6.1%
Other values (4) 24
 
6.3%
Hangul
ValueCountFrequency (%)
업 1
16.7%
체 1
16.7%
전 1
16.7%
화 1
16.7%
일 1
16.7%
반 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379
98.4%
Hangul 6
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 67
17.7%
- 47
12.4%
7 36
9.5%
6 36
9.5%
5 33
8.7%
3 33
8.7%
4 28
7.4%
9 26
 
6.9%
8 26
 
6.9%
0 23
 
6.1%
Other values (4) 24
 
6.3%
Hangul
ValueCountFrequency (%)
업 1
16.7%
체 1
16.7%
전 1
16.7%
화 1
16.7%
일 1
16.7%
반 1
16.7%

Correlations

2024-04-18T04:55:40.626473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3
Unnamed: 11.0001.0001.000
Unnamed: 21.0001.0001.000
Unnamed: 31.0001.0001.000

Missing values

2024-04-18T04:55:38.773209image/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.
2024-04-18T04:55:38.848022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

소독업소 현황(의창구, 성산구)Unnamed: 1Unnamed: 2Unnamed: 3
0NaN<NA><NA><NA>
1번호업 체 명소 재 지업체전화(일반)
21마스터크린시스템창원지사창원시 의창구 하남천동길44번길 5-7, 101호 (도계동)288-2588
32주식회사 진양티엠에스창원시 의창구 읍성로101번길 12 (소답동)296-6677
43(주)건영엔지니어링창원시 의창구 차상로72번길 5-7, 107동 2층 (팔용동)298-2449
54우리환경창원시 의창구 신월로 42, 204호 (신월동, 토월복합상가)284-4689
65창원창원시 의창구 도계로95번길 6-16, 101호 (도계동)256-6300
76(주)패스원창원시 의창구 남산로 20, 3층 302호 (팔용동, 벽산상가)<NA>
87(주)동아에스앤에프창원시 성산구 중앙대로 37, 313호 (중앙동, 경남오피스텔)294-1278
98이그린창원시 성산구 상남로 71, 125호 (상남동, 창원코아)<NA>
소독업소 현황(의창구, 성산구)Unnamed: 1Unnamed: 2Unnamed: 3
4241(주)한국산업개발창원시 의창구 북면 천주로 787277-3936
4342에브그린방역공사창원시 의창구 도계두리길 108-10, 1층 (도계동)265-5295
4443(주)세아창원시 의창구 도계로 102, 202호 (도계동)277-2663
4544남부건업주식회사창원시 의창구 창이대로460번길 21-1, 401호(용호동,원빌딩)266-8801
4645신서림에스앤에스(주)창원시 의창구 용지로153번길 3 (용호동, 창원오피스텔706호)284-3033
4746한국방역공사창원시 의창구 도계로 102, 지하층 1호 (도계동, 대남상가)244-2266,
4847가나환경컨설팅창원시 의창구 도계두리길6번길 30 (도계동)273-7470
4948(주)대원창원시 의창구 원이대로69번길17 3층(도계동)288-0875
5049진성개발(주)창원시 성산구 연덕로184번길 42, 302호 (내동, 현대상가)263-8965
5150대성씨엔에스창원시 성산구 중앙동97번지2호 동성올림픽타운708호268-5033