Overview

Dataset statistics

Number of variables4
Number of observations133
Missing cells40
Missing cells (%)7.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory34.0 B

Variable types

Numeric1
Text3

Dataset

Description보건의료 관련 소독업소 현황에 대한 데이터로 대전광역시 서구 소독업소 현황 등의 항목을 공공데이터포털에 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15080678/fileData.do

Alerts

영업소전화번호 has 40 (30.1%) missing valuesMissing
순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:30:52.392870
Analysis finished2024-04-06 08:30:56.008643
Duration3.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T17:30:56.207276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.6
Q134
median67
Q3100
95-th percentile126.4
Maximum133
Range132
Interquartile range (IQR)66

Descriptive statistics

Standard deviation38.53786
Coefficient of variation (CV)0.57519194
Kurtosis-1.2
Mean67
Median Absolute Deviation (MAD)33
Skewness0
Sum8911
Variance1485.1667
MonotonicityStrictly increasing
2024-04-06T17:30:56.533070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
85 1
 
0.8%
99 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
Other values (123) 123
92.5%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
133 1
0.8%
132 1
0.8%
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%

소독업소명칭
Text

UNIQUE 

Distinct133
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T17:30:57.116525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length7.6917293
Min length2

Characters and Unicode

Total characters1023
Distinct characters213
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

Unique133 ?
Unique (%)100.0%

Sample

1st row유한회사 영광
2nd row바른홈클린
3rd row자인종합개발
4th row한솔토탈서비스
5th row눈꽃처럼협동조합
ValueCountFrequency (%)
주식회사 11
 
7.0%
스마트맨 2
 
1.3%
사회적협동조합 2
 
1.3%
유한회사 1
 
0.6%
에버그린팜스방역컨설팅 1
 
0.6%
상쾌한산업 1
 
0.6%
주)한빛코리아 1
 
0.6%
신우종합관리 1
 
0.6%
주)유일크린케어 1
 
0.6%
그린환경 1
 
0.6%
Other values (135) 135
86.0%
2024-04-06T17:30:58.141192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 81
 
7.9%
) 68
 
6.6%
( 64
 
6.3%
사 28
 
2.7%
스 27
 
2.6%
리 26
 
2.5%
25
 
2.4%
업 21
 
2.1%
회 20
 
2.0%
한 19
 
1.9%
Other values (203) 644
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 826
80.7%
Close Punctuation 68
 
6.6%
Open Punctuation 64
 
6.3%
Uppercase Letter 30
 
2.9%
Space Separator 25
 
2.4%
Lowercase Letter 4
 
0.4%
Other Punctuation 3
 
0.3%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 81
 
9.8%
사 28
 
3.4%
스 27
 
3.3%
리 26
 
3.1%
업 21
 
2.5%
회 20
 
2.4%
한 19
 
2.3%
합 18
 
2.2%
린 18
 
2.2%
이 16
 
1.9%
Other values (176) 552
66.8%
Uppercase Letter
ValueCountFrequency (%)
C 4
13.3%
E 4
13.3%
S 3
10.0%
I 2
 
6.7%
B 2
 
6.7%
M 2
 
6.7%
A 2
 
6.7%
R 2
 
6.7%
N 2
 
6.7%
D 1
 
3.3%
Other values (6) 6
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
50.0%
z 1
25.0%
m 1
25.0%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
1 1
33.3%
3 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 826
80.7%
Common 163
 
15.9%
Latin 34
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 81
 
9.8%
사 28
 
3.4%
스 27
 
3.3%
리 26
 
3.1%
업 21
 
2.5%
회 20
 
2.4%
한 19
 
2.3%
합 18
 
2.2%
린 18
 
2.2%
이 16
 
1.9%
Other values (176) 552
66.8%
Latin
ValueCountFrequency (%)
C 4
11.8%
E 4
11.8%
S 3
 
8.8%
I 2
 
5.9%
o 2
 
5.9%
B 2
 
5.9%
M 2
 
5.9%
A 2
 
5.9%
R 2
 
5.9%
N 2
 
5.9%
Other values (9) 9
26.5%
Common
ValueCountFrequency (%)
) 68
41.7%
( 64
39.3%
25
 
15.3%
. 2
 
1.2%
5 1
 
0.6%
1 1
 
0.6%
3 1
 
0.6%
& 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 826
80.7%
ASCII 197
 
19.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 81
 
9.8%
사 28
 
3.4%
스 27
 
3.3%
리 26
 
3.1%
업 21
 
2.5%
회 20
 
2.4%
한 19
 
2.3%
합 18
 
2.2%
린 18
 
2.2%
이 16
 
1.9%
Other values (176) 552
66.8%
ASCII
ValueCountFrequency (%)
) 68
34.5%
( 64
32.5%
25
 
12.7%
C 4
 
2.0%
E 4
 
2.0%
S 3
 
1.5%
I 2
 
1.0%
o 2
 
1.0%
B 2
 
1.0%
M 2
 
1.0%
Other values (17) 21
 
10.7%

사무실소재지(도로명)
Text

Distinct128
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T17:30:58.778482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length29.300752
Min length21

Characters and Unicode

Total characters3897
Distinct characters146
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)93.2%

Sample

1st row대전광역시 서구 둔산남로 15, 상가동 지하1층 4호 (둔산동, 은하수아파트)
2nd row대전광역시 서구 용화1길 111, 해피하우스 1층 일부호 (도마동)
3rd row대전광역시 서구 도산로314번길 50, 1층 (가장동)
4th row대전광역시 서구 대덕대로 150, 109호 (갈마동, 큰마을아파트)
5th row대전광역시 서구 동서대로1006번길 96, 1층 일부호 (변동)
ValueCountFrequency (%)
대전광역시 133
 
16.5%
서구 133
 
16.5%
1층 32
 
4.0%
월평동 19
 
2.4%
탄방동 14
 
1.7%
도마동 14
 
1.7%
괴정동 13
 
1.6%
일부호 12
 
1.5%
변동 12
 
1.5%
둔산동 12
 
1.5%
Other values (254) 412
51.1%
2024-04-06T17:30:59.701218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
 
17.3%
1 159
 
4.1%
대 154
 
4.0%
동 145
 
3.7%
서 137
 
3.5%
전 136
 
3.5%
구 134
 
3.4%
역 134
 
3.4%
) 134
 
3.4%
시 133
 
3.4%
Other values (136) 1958
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2193
56.3%
Space Separator 673
 
17.3%
Decimal Number 647
 
16.6%
Close Punctuation 134
 
3.4%
Open Punctuation 133
 
3.4%
Other Punctuation 95
 
2.4%
Dash Punctuation 16
 
0.4%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 154
 
7.0%
동 145
 
6.6%
서 137
 
6.2%
전 136
 
6.2%
구 134
 
6.1%
역 134
 
6.1%
시 133
 
6.1%
광 133
 
6.1%
로 127
 
5.8%
길 74
 
3.4%
Other values (117) 886
40.4%
Decimal Number
ValueCountFrequency (%)
1 159
24.6%
2 77
11.9%
4 70
10.8%
0 68
10.5%
3 67
10.4%
5 57
 
8.8%
6 50
 
7.7%
8 38
 
5.9%
9 31
 
4.8%
7 30
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
K 1
 
20.0%
T 1
 
20.0%
Space Separator
ValueCountFrequency (%)
673
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2193
56.3%
Common 1699
43.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 154
 
7.0%
동 145
 
6.6%
서 137
 
6.2%
전 136
 
6.2%
구 134
 
6.1%
역 134
 
6.1%
시 133
 
6.1%
광 133
 
6.1%
로 127
 
5.8%
길 74
 
3.4%
Other values (117) 886
40.4%
Common
ValueCountFrequency (%)
673
39.6%
1 159
 
9.4%
) 134
 
7.9%
( 133
 
7.8%
, 95
 
5.6%
2 77
 
4.5%
4 70
 
4.1%
0 68
 
4.0%
3 67
 
3.9%
5 57
 
3.4%
Other values (6) 166
 
9.8%
Latin
ValueCountFrequency (%)
B 3
60.0%
K 1
 
20.0%
T 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2193
56.3%
ASCII 1704
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
673
39.5%
1 159
 
9.3%
) 134
 
7.9%
( 133
 
7.8%
, 95
 
5.6%
2 77
 
4.5%
4 70
 
4.1%
0 68
 
4.0%
3 67
 
3.9%
5 57
 
3.3%
Other values (9) 171
 
10.0%
Hangul
ValueCountFrequency (%)
대 154
 
7.0%
동 145
 
6.6%
서 137
 
6.2%
전 136
 
6.2%
구 134
 
6.1%
역 134
 
6.1%
시 133
 
6.1%
광 133
 
6.1%
로 127
 
5.8%
길 74
 
3.4%
Other values (117) 886
40.4%

영업소전화번호
Text

MISSING 

Distinct90
Distinct (%)96.8%
Missing40
Missing (%)30.1%
Memory size1.2 KiB
2024-04-06T17:31:00.072264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.978495
Min length9

Characters and Unicode

Total characters1114
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

Unique87 ?
Unique (%)93.5%

Sample

1st row042-533-2400
2nd row042-533-2233
3rd row042-524-5112
4th row042-546-5561
5th row042-545-8640
ValueCountFrequency (%)
042-544-3283 2
 
2.2%
042-334-0001 2
 
2.2%
042-522-0431 2
 
2.2%
042-486-7011 1
 
1.1%
042-533-7272 1
 
1.1%
042-632-6220 1
 
1.1%
042-534-9448 1
 
1.1%
042-531-5113 1
 
1.1%
042-254-8240 1
 
1.1%
042-522-1829 1
 
1.1%
Other values (80) 80
86.0%
2024-04-06T17:31:00.729140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 184
16.5%
4 179
16.1%
2 168
15.1%
0 156
14.0%
5 99
8.9%
3 76
6.8%
8 61
 
5.5%
7 59
 
5.3%
1 57
 
5.1%
6 47
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 930
83.5%
Dash Punctuation 184
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 179
19.2%
2 168
18.1%
0 156
16.8%
5 99
10.6%
3 76
8.2%
8 61
 
6.6%
7 59
 
6.3%
1 57
 
6.1%
6 47
 
5.1%
9 28
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 184
16.5%
4 179
16.1%
2 168
15.1%
0 156
14.0%
5 99
8.9%
3 76
6.8%
8 61
 
5.5%
7 59
 
5.3%
1 57
 
5.1%
6 47
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 184
16.5%
4 179
16.1%
2 168
15.1%
0 156
14.0%
5 99
8.9%
3 76
6.8%
8 61
 
5.5%
7 59
 
5.3%
1 57
 
5.1%
6 47
 
4.2%

Interactions

2024-04-06T17:30:55.389228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:31:00.988572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영업소전화번호
순번1.0000.631
영업소전화번호0.6311.000

Missing values

2024-04-06T17:30:55.750587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:30:55.941519image/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
01유한회사 영광대전광역시 서구 둔산남로 15, 상가동 지하1층 4호 (둔산동, 은하수아파트)042-533-2400
12바른홈클린대전광역시 서구 용화1길 111, 해피하우스 1층 일부호 (도마동)<NA>
23자인종합개발대전광역시 서구 도산로314번길 50, 1층 (가장동)<NA>
34한솔토탈서비스대전광역시 서구 대덕대로 150, 109호 (갈마동, 큰마을아파트)<NA>
45눈꽃처럼협동조합대전광역시 서구 동서대로1006번길 96, 1층 일부호 (변동)<NA>
56한밭주거복지사회적협동조합대전광역시 서구 변동중로78번길 18, 1층 102호 (변동)<NA>
67CG(씨지)대전광역시 서구 갈마로147번길 58, 4층 (갈마동)<NA>
78주원 C&C대전광역시 서구 도마17길 89, 1층 (도마동)042-533-2233
89(주)현대윈가드시큐리티대전광역시 서구 갈마로 149, 선경 3층 일부호 (괴정동)042-524-5112
910경성산업대전광역시 서구 월평중로14번길 5, 4층 405호 (월평동)<NA>
순번소독업소명칭사무실소재지(도로명)영업소전화번호
123124(주)신한방역공사대전광역시 서구 도솔로 251, 1층 (내동)042-522-9988
124125대명보건산업(주)대전광역시 서구 갈마로103번길 36 (갈마동)042-533-7172
125126(주)대전크린대전광역시 서구 대덕대로175번길 50, 201호 (둔산동, 나이스진)042-523-9996
126127(주)월드한진산업대전광역시 서구 계백로 1141, 603호 (가수원동)042-522-0769
127128금강위생관리공사대전광역시 서구 문정로112번안길 28 (탄방동)042-486-1515
128129(주)대덕개발대전광역시 서구 대덕대로 129, 7층 (갈마동)<NA>
129130중부주택관리산업(주)대전광역시 서구 가수원로 43 (가수원동)042-544-7400
130131대아개발(주)대전광역시 서구 가장로 34 (괴정동)042-523-5340
131132한밭종합방역공사대전광역시 서구 갈마로147번길 51-14, B01호 (갈마동)042-534-1160
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