Overview

Dataset statistics

Number of variables3
Number of observations212
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory25.6 B

Variable types

Numeric1
Text2

Dataset

Description경상남도 창원시 소재의 소독업소 현황입니다. 항목은 순번, 소독업소명칭, 사무실소재지(도로명)으로 되어있습니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/3066440/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:00:15.817750
Analysis finished2023-12-12 13:00:16.322282
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.5
Minimum1
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T22:00:16.402679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.55
Q153.75
median106.5
Q3159.25
95-th percentile201.45
Maximum212
Range211
Interquartile range (IQR)105.5

Descriptive statistics

Standard deviation61.343296
Coefficient of variation (CV)0.57599339
Kurtosis-1.2
Mean106.5
Median Absolute Deviation (MAD)53
Skewness0
Sum22578
Variance3763
MonotonicityStrictly increasing
2023-12-12T22:00:16.539793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
135 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
Other values (202) 202
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%

소독업소명칭
Text

Distinct210
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T22:00:16.811503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.1650943
Min length2

Characters and Unicode

Total characters1519
Distinct characters257
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)98.6%

Sample

1st row늘푸른 환경
2nd row에스에이치 시스템
3rd row착한식판
4th row(주)부경산업
5th row아이사랑 방역
ValueCountFrequency (%)
주식회사 12
 
4.4%
벌레잡는 4
 
1.5%
총각들 3
 
1.1%
방역 3
 
1.1%
시스템 2
 
0.7%
주)세스코 2
 
0.7%
하이진 2
 
0.7%
환경 2
 
0.7%
다올클린환경 1
 
0.4%
에어테크 1
 
0.4%
Other values (238) 238
88.1%
2023-12-12T22:00:17.239870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 78
 
5.1%
) 65
 
4.3%
( 62
 
4.1%
58
 
3.8%
사 45
 
3.0%
경 44
 
2.9%
방 34
 
2.2%
스 33
 
2.2%
역 32
 
2.1%
린 32
 
2.1%
Other values (247) 1036
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1287
84.7%
Close Punctuation 65
 
4.3%
Open Punctuation 62
 
4.1%
Space Separator 58
 
3.8%
Uppercase Letter 19
 
1.3%
Decimal Number 11
 
0.7%
Lowercase Letter 9
 
0.6%
Other Punctuation 5
 
0.3%
Other Symbol 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 78
 
6.1%
사 45
 
3.5%
경 44
 
3.4%
방 34
 
2.6%
스 33
 
2.6%
역 32
 
2.5%
린 32
 
2.5%
원 31
 
2.4%
이 31
 
2.4%
환 29
 
2.3%
Other values (213) 898
69.8%
Uppercase Letter
ValueCountFrequency (%)
N 3
15.8%
S 2
 
10.5%
O 2
 
10.5%
F 1
 
5.3%
P 1
 
5.3%
G 1
 
5.3%
A 1
 
5.3%
E 1
 
5.3%
L 1
 
5.3%
C 1
 
5.3%
Other values (5) 5
26.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
22.2%
e 2
22.2%
r 2
22.2%
o 1
11.1%
u 1
11.1%
i 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
9 2
 
18.2%
5 2
 
18.2%
6 1
 
9.1%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
& 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1289
84.9%
Common 202
 
13.3%
Latin 28
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 78
 
6.1%
사 45
 
3.5%
경 44
 
3.4%
방 34
 
2.6%
스 33
 
2.6%
역 32
 
2.5%
린 32
 
2.5%
원 31
 
2.4%
이 31
 
2.4%
환 29
 
2.2%
Other values (214) 900
69.8%
Latin
ValueCountFrequency (%)
N 3
 
10.7%
s 2
 
7.1%
S 2
 
7.1%
e 2
 
7.1%
O 2
 
7.1%
r 2
 
7.1%
F 1
 
3.6%
P 1
 
3.6%
G 1
 
3.6%
A 1
 
3.6%
Other values (11) 11
39.3%
Common
ValueCountFrequency (%)
) 65
32.2%
( 62
30.7%
58
28.7%
1 5
 
2.5%
. 3
 
1.5%
9 2
 
1.0%
5 2
 
1.0%
, 1
 
0.5%
6 1
 
0.5%
3 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1287
84.7%
ASCII 230
 
15.1%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 78
 
6.1%
사 45
 
3.5%
경 44
 
3.4%
방 34
 
2.6%
스 33
 
2.6%
역 32
 
2.5%
린 32
 
2.5%
원 31
 
2.4%
이 31
 
2.4%
환 29
 
2.3%
Other values (213) 898
69.8%
ASCII
ValueCountFrequency (%)
) 65
28.3%
( 62
27.0%
58
25.2%
1 5
 
2.2%
. 3
 
1.3%
N 3
 
1.3%
9 2
 
0.9%
s 2
 
0.9%
S 2
 
0.9%
e 2
 
0.9%
Other values (23) 26
 
11.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

사무실소재지(도로명)
Text

Distinct211
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T22:00:17.614695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length36.533019
Min length19

Characters and Unicode

Total characters7745
Distinct characters225
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)99.1%

Sample

1st row경상남도 창원시 의창구 남산로17번길 11, 지하층 102호 (팔용동, 유진상가빌라)
2nd row경상남도 창원시 의창구 평산로211번길 20(서상동)
3rd row경상남도 창원시 의창구 사림로 27(봉곡동)
4th row경상남도 창원시 성산구 용지로 94, 올림피아상가 602호 (중앙동)
5th row경상남도 창원시 의창구 사화로18번길 8, 동문빌딩 4층 (팔용동)
ValueCountFrequency (%)
창원시 214
 
13.5%
경상남도 212
 
13.4%
의창구 63
 
4.0%
마산합포구 44
 
2.8%
성산구 43
 
2.7%
마산회원구 37
 
2.3%
1층 29
 
1.8%
진해구 25
 
1.6%
3층 19
 
1.2%
2층 17
 
1.1%
Other values (533) 879
55.6%
2023-12-12T22:00:18.076000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1372
 
17.7%
1 312
 
4.0%
창 303
 
3.9%
원 284
 
3.7%
상 267
 
3.4%
남 262
 
3.4%
동 245
 
3.2%
도 237
 
3.1%
경 229
 
3.0%
구 226
 
2.9%
Other values (215) 4008
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4623
59.7%
Space Separator 1372
 
17.7%
Decimal Number 1146
 
14.8%
Other Punctuation 207
 
2.7%
Close Punctuation 175
 
2.3%
Open Punctuation 175
 
2.3%
Dash Punctuation 40
 
0.5%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 303
 
6.6%
원 284
 
6.1%
상 267
 
5.8%
남 262
 
5.7%
동 245
 
5.3%
도 237
 
5.1%
경 229
 
5.0%
구 226
 
4.9%
시 219
 
4.7%
산 165
 
3.6%
Other values (193) 2186
47.3%
Decimal Number
ValueCountFrequency (%)
1 312
27.2%
2 163
14.2%
3 134
11.7%
0 127
11.1%
5 90
 
7.9%
4 77
 
6.7%
7 64
 
5.6%
6 63
 
5.5%
9 60
 
5.2%
8 56
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
L 1
14.3%
S 1
14.3%
U 1
14.3%
P 1
14.3%
A 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 202
97.6%
· 5
 
2.4%
Space Separator
ValueCountFrequency (%)
1372
100.0%
Close Punctuation
ValueCountFrequency (%)
) 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4623
59.7%
Common 3115
40.2%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 303
 
6.6%
원 284
 
6.1%
상 267
 
5.8%
남 262
 
5.7%
동 245
 
5.3%
도 237
 
5.1%
경 229
 
5.0%
구 226
 
4.9%
시 219
 
4.7%
산 165
 
3.6%
Other values (193) 2186
47.3%
Common
ValueCountFrequency (%)
1372
44.0%
1 312
 
10.0%
, 202
 
6.5%
) 175
 
5.6%
( 175
 
5.6%
2 163
 
5.2%
3 134
 
4.3%
0 127
 
4.1%
5 90
 
2.9%
4 77
 
2.5%
Other values (6) 288
 
9.2%
Latin
ValueCountFrequency (%)
B 2
28.6%
L 1
14.3%
S 1
14.3%
U 1
14.3%
P 1
14.3%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4623
59.7%
ASCII 3117
40.2%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1372
44.0%
1 312
 
10.0%
, 202
 
6.5%
) 175
 
5.6%
( 175
 
5.6%
2 163
 
5.2%
3 134
 
4.3%
0 127
 
4.1%
5 90
 
2.9%
4 77
 
2.5%
Other values (11) 290
 
9.3%
Hangul
ValueCountFrequency (%)
창 303
 
6.6%
원 284
 
6.1%
상 267
 
5.8%
남 262
 
5.7%
동 245
 
5.3%
도 237
 
5.1%
경 229
 
5.0%
구 226
 
4.9%
시 219
 
4.7%
산 165
 
3.6%
Other values (193) 2186
47.3%
None
ValueCountFrequency (%)
· 5
100.0%

Interactions

2023-12-12T22:00:16.105741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T22:00:16.211023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:00:16.291522image/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)
01늘푸른 환경경상남도 창원시 의창구 남산로17번길 11, 지하층 102호 (팔용동, 유진상가빌라)
12에스에이치 시스템경상남도 창원시 의창구 평산로211번길 20(서상동)
23착한식판경상남도 창원시 의창구 사림로 27(봉곡동)
34(주)부경산업경상남도 창원시 성산구 용지로 94, 올림피아상가 602호 (중앙동)
45아이사랑 방역경상남도 창원시 의창구 사화로18번길 8, 동문빌딩 4층 (팔용동)
56터미닉스코리아 경남지사경상남도 창원시 의창구 북면 감계로110번길 54-15, 702호
67정담환경경상남도 창원시 의창구 대산면 주남로 571
78(주)서진잡경상남도 창원시 성산구 용지로123번길 4, 경우빌딩 3층 (중앙동)
89주식회사 제이원엔지니어링 경남지점경상남도 창원시 성산구 연덕로184번길 42, 현대상가 308층 1호 (내동)
910(주)신텍경상남도 창원시 성산구 반송로 149, 경상남도교통문화연수원 3층 307호 (반림동)
순번소독업소명칭사무실소재지(도로명)
202203㈜한국클린산업경상남도 창원시 진해구 용재로 98 1층
203204(유)희망더하기경상남도 창원시 진해구 천자로 373번길 6
204205대득환경산업경상남도 창원시 진해구 용원남로 17번길 27-1
205206하나방역 창원지사경상남도 창원시 진해구 경화로 24
206207케이티엠경상남도 창원시 진해구 제덕로 198
207208더크린경남창원지사경상남도 창원시 진해구 충장로 449 1층
208209시티앤로컬협동조합경상남도 창원시 진해구 여좌로 118번가길 1 지하
209210벌레잡는총각들경상남도 창원시 진해구 여좌남로41번길 6-1 나동 1층
210211좋은방역경상남도 창원시 진해구 냉천로 122
211212마스터크린시스템창원지사경상남도 창원시 진해구 용원동로 259, 104호