Overview

Dataset statistics

Number of variables3
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory26.3 B

Variable types

Numeric1
Text2

Dataset

Description경기도 안양시 2022년 관내 소독업소 보건의료(관내 소독업소 명칭, 관내 사무실 소재지)기존 현황 데이터 정보입니다.
URLhttps://www.data.go.kr/data/15051659/fileData.do

Alerts

순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:01:20.584923
Analysis finished2023-12-12 19:01:21.511100
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T04:01:21.714808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2023-12-13T04:01:22.106848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

소독업소명칭
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T04:01:22.681166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length7.1262136
Min length2

Characters and Unicode

Total characters734
Distinct characters185
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)100.0%

Sample

1st row(주)에스엠지코리아
2nd row주식회사 정상에스앤에스
3rd row해충제로솔루션
4th row기창금보(주)
5th row이루다사회적협동조합
ValueCountFrequency (%)
주식회사 16
 
12.3%
주)에스엠지코리아 1
 
0.8%
미미 1
 
0.8%
주)서비스월드 1
 
0.8%
아톰 1
 
0.8%
신해한수 1
 
0.8%
사회적협동조합 1
 
0.8%
경기마을교육공동체 1
 
0.8%
진영 1
 
0.8%
부경이엠 1
 
0.8%
Other values (105) 105
80.8%
2023-12-13T04:01:23.612697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 56
 
7.6%
( 38
 
5.2%
) 38
 
5.2%
27
 
3.7%
사 25
 
3.4%
스 23
 
3.1%
회 22
 
3.0%
식 18
 
2.5%
이 15
 
2.0%
경 14
 
1.9%
Other values (175) 458
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 626
85.3%
Open Punctuation 38
 
5.2%
Close Punctuation 38
 
5.2%
Space Separator 27
 
3.7%
Uppercase Letter 3
 
0.4%
Decimal Number 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 56
 
8.9%
사 25
 
4.0%
스 23
 
3.7%
회 22
 
3.5%
식 18
 
2.9%
이 15
 
2.4%
경 14
 
2.2%
린 13
 
2.1%
리 12
 
1.9%
에 11
 
1.8%
Other values (167) 417
66.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
F 1
33.3%
G 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 626
85.3%
Common 105
 
14.3%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 56
 
8.9%
사 25
 
4.0%
스 23
 
3.7%
회 22
 
3.5%
식 18
 
2.9%
이 15
 
2.4%
경 14
 
2.2%
린 13
 
2.1%
리 12
 
1.9%
에 11
 
1.8%
Other values (167) 417
66.6%
Common
ValueCountFrequency (%)
( 38
36.2%
) 38
36.2%
27
25.7%
5 1
 
1.0%
& 1
 
1.0%
Latin
ValueCountFrequency (%)
C 1
33.3%
F 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 626
85.3%
ASCII 108
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 56
 
8.9%
사 25
 
4.0%
스 23
 
3.7%
회 22
 
3.5%
식 18
 
2.9%
이 15
 
2.4%
경 14
 
2.2%
린 13
 
2.1%
리 12
 
1.9%
에 11
 
1.8%
Other values (167) 417
66.6%
ASCII
ValueCountFrequency (%)
( 38
35.2%
) 38
35.2%
27
25.0%
C 1
 
0.9%
5 1
 
0.9%
F 1
 
0.9%
& 1
 
0.9%
G 1
 
0.9%

사무실소재지(도로명)
Text

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T04:01:24.133070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length34.941748
Min length18

Characters and Unicode

Total characters3599
Distinct characters176
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)98.1%

Sample

1st row경기도 안양시 동안구 시민대로109번길 29, 에이스하이테크시티 범계 6층 601호 (호계동)
2nd row경기도 안양시 동안구 부림로 182(관양동)
3rd row경기도 안양시 동안구 평촌대로374번길 55, 3층 일부호 (비산동)
4th row경기도 안양시 동안구 인덕원로24번길 25, 3층 (관양동)
5th row경기도 안양시 동안구 관악대로404번길 19-11, 씨티빌딩 2층 일부호 (관양동)
ValueCountFrequency (%)
경기도 54
 
7.5%
동안구 54
 
7.5%
안양시 54
 
7.5%
만안구 49
 
6.8%
안양동 31
 
4.3%
관양동 24
 
3.3%
일부호 16
 
2.2%
호계동 15
 
2.1%
2층 13
 
1.8%
3층 12
 
1.7%
Other values (268) 399
55.3%
2023-12-13T04:01:25.056916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
670
 
18.6%
안 221
 
6.1%
동 179
 
5.0%
양 135
 
3.8%
1 129
 
3.6%
, 106
 
2.9%
로 106
 
2.9%
) 105
 
2.9%
( 105
 
2.9%
구 103
 
2.9%
Other values (166) 1740
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1948
54.1%
Space Separator 670
 
18.6%
Decimal Number 624
 
17.3%
Other Punctuation 106
 
2.9%
Close Punctuation 105
 
2.9%
Open Punctuation 105
 
2.9%
Uppercase Letter 22
 
0.6%
Dash Punctuation 16
 
0.4%
Lowercase Letter 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 221
 
11.3%
동 179
 
9.2%
양 135
 
6.9%
로 106
 
5.4%
구 103
 
5.3%
호 90
 
4.6%
시 61
 
3.1%
층 60
 
3.1%
경 58
 
3.0%
기 55
 
2.8%
Other values (143) 880
45.2%
Decimal Number
ValueCountFrequency (%)
1 129
20.7%
2 98
15.7%
3 81
13.0%
4 70
11.2%
0 70
11.2%
5 57
9.1%
9 37
 
5.9%
7 33
 
5.3%
8 25
 
4.0%
6 24
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 9
40.9%
I 5
22.7%
Z 4
18.2%
A 3
 
13.6%
T 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
670
100.0%
Other Punctuation
ValueCountFrequency (%)
, 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1948
54.1%
Common 1627
45.2%
Latin 24
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 221
 
11.3%
동 179
 
9.2%
양 135
 
6.9%
로 106
 
5.4%
구 103
 
5.3%
호 90
 
4.6%
시 61
 
3.1%
층 60
 
3.1%
경 58
 
3.0%
기 55
 
2.8%
Other values (143) 880
45.2%
Common
ValueCountFrequency (%)
670
41.2%
1 129
 
7.9%
, 106
 
6.5%
) 105
 
6.5%
( 105
 
6.5%
2 98
 
6.0%
3 81
 
5.0%
4 70
 
4.3%
0 70
 
4.3%
5 57
 
3.5%
Other values (6) 136
 
8.4%
Latin
ValueCountFrequency (%)
B 9
37.5%
I 5
20.8%
Z 4
16.7%
A 3
 
12.5%
T 1
 
4.2%
k 1
 
4.2%
t 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1948
54.1%
ASCII 1651
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
670
40.6%
1 129
 
7.8%
, 106
 
6.4%
) 105
 
6.4%
( 105
 
6.4%
2 98
 
5.9%
3 81
 
4.9%
4 70
 
4.2%
0 70
 
4.2%
5 57
 
3.5%
Other values (13) 160
 
9.7%
Hangul
ValueCountFrequency (%)
안 221
 
11.3%
동 179
 
9.2%
양 135
 
6.9%
로 106
 
5.4%
구 103
 
5.3%
호 90
 
4.6%
시 61
 
3.1%
층 60
 
3.1%
경 58
 
3.0%
기 55
 
2.8%
Other values (143) 880
45.2%

Interactions

2023-12-13T04:01:20.990898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T04:01:21.249481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:01:21.427678image/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)
01(주)에스엠지코리아경기도 안양시 동안구 시민대로109번길 29, 에이스하이테크시티 범계 6층 601호 (호계동)
12주식회사 정상에스앤에스경기도 안양시 동안구 부림로 182(관양동)
23해충제로솔루션경기도 안양시 동안구 평촌대로374번길 55, 3층 일부호 (비산동)
34기창금보(주)경기도 안양시 동안구 인덕원로24번길 25, 3층 (관양동)
45이루다사회적협동조합경기도 안양시 동안구 관악대로404번길 19-11, 씨티빌딩 2층 일부호 (관양동)
56세스죤경기도 안양시 동안구 흥안대로 528, 타워빌딩 관양동 7층 일부호 (관양동)
67클린업경기도 안양시 동안구 학의로 282, 금강펜테리움IT타워 3층 324호 (관양동)
78한국마사회시설관리(주)경기도 안양시 동안구 동편로 54-11, 디어스 6층 일부호 (관양동)
89성안기업경기도 안양시 동안구 시민대로 74, (주)효성안양공장 일부호 (호계동)
910동원위생경기도 안양시 동안구 관평로313번길 20, 천양빌딩 3층 일부호 (관양동)
순번소독업소명칭사무실소재지(도로명)
9394주식회사 프로글로벌만안구 안양로 491 (석수동,프로빌딩 5층)
9495새롬에스앤씨 주식회사만안구 덕천로152번길 25, 안양아이에스BIZ타워센트럴 534호 (안양동)
9596(주)대원시스템만안구 문예로52번길 9 (태광빌딩 4층)
9697(주)삼일시스템만안구 석천로159번길 44 (석수동)
9798삼우서비스(주)만안구 안양로 503 (석수동, 범우빌딩 301호)
9899진멸방역공사만안구 장내로 148, 장안빌딩 605호 (안양동)
99100남광개발(주)만안구 덕천로152번길 25, 안양아이에스BIZ타워센트럴 A동 층 402호 (안양동)
100101(주)대원만안구 양화로14번길 22 (안양동)
101102안양방역만안구 전파로 30, 유천팩토피아 123~124호 (안양동)
102103(주) 한솔개발만안구 수리산로 43 (안양동)