Overview

Dataset statistics

Number of variables9
Number of observations53
Missing cells49
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory75.5 B

Variable types

Numeric1
Text5
Categorical2
DateTime1

Dataset

Description연수구 관내 소독업소 현황(상호명,주소, 연락처 등)에 관한 데이터로서 2024.03월 기준 53개소임을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038923&srcSe=7661IVAWM27C61E190

Alerts

허가명 has constant value ""Constant
법인명 has 27 (50.9%) missing valuesMissing
창고소재지(도로명) has 22 (41.5%) missing valuesMissing
순번 has unique valuesUnique
신고번호 has unique valuesUnique
소독업소명칭 has unique valuesUnique
사무실소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:43:26.932203
Analysis finished2024-04-06 09:43:27.995073
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T18:43:28.104603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2024-04-06T18:43:28.270931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

신고번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-06T18:43:28.546691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1325
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st rowPHMB520233520019042500002
2nd rowPHMB520233520019042500001
3rd rowPHMB520223520019042500006
4th rowPHMB520223520019042500005
5th rowPHMB520223520019042500003
ValueCountFrequency (%)
phmb520233520019042500002 1
 
1.9%
phmb520193520019042500001 1
 
1.9%
phmb520183520019042500002 1
 
1.9%
phmb520183520019042500001 1
 
1.9%
phmb520173520019042500002 1
 
1.9%
phmb520183520019042500004 1
 
1.9%
phmb520163520019042500007 1
 
1.9%
phmb520163520019042500006 1
 
1.9%
phmb520163520019042500005 1
 
1.9%
phmb520163520019042500003 1
 
1.9%
Other values (43) 43
81.1%
2024-04-06T18:43:29.099709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 434
32.8%
2 203
15.3%
5 168
 
12.7%
1 99
 
7.5%
3 65
 
4.9%
9 62
 
4.7%
4 62
 
4.7%
P 53
 
4.0%
H 53
 
4.0%
M 53
 
4.0%
Other values (4) 73
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1113
84.0%
Uppercase Letter 212
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 434
39.0%
2 203
18.2%
5 168
 
15.1%
1 99
 
8.9%
3 65
 
5.8%
9 62
 
5.6%
4 62
 
5.6%
6 9
 
0.8%
8 7
 
0.6%
7 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 53
25.0%
H 53
25.0%
M 53
25.0%
B 53
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1113
84.0%
Latin 212
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 434
39.0%
2 203
18.2%
5 168
 
15.1%
1 99
 
8.9%
3 65
 
5.8%
9 62
 
5.6%
4 62
 
5.6%
6 9
 
0.8%
8 7
 
0.6%
7 4
 
0.4%
Latin
ValueCountFrequency (%)
P 53
25.0%
H 53
25.0%
M 53
25.0%
B 53
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 434
32.8%
2 203
15.3%
5 168
 
12.7%
1 99
 
7.5%
3 65
 
4.9%
9 62
 
4.7%
4 62
 
4.7%
P 53
 
4.0%
H 53
 
4.0%
M 53
 
4.0%
Other values (4) 73
 
5.5%

소독업소명칭
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-06T18:43:29.424485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.9056604
Min length3

Characters and Unicode

Total characters419
Distinct characters147
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

Unique53 ?
Unique (%)100.0%

Sample

1st row주식회사 주영에스앤씨
2nd row드림티엔씨
3rd row주식회사 더이앤케이파트너스
4th row(주)아라세이브
5th row그린F5 연수본부
ValueCountFrequency (%)
주식회사 10
 
14.3%
주)세스코 2
 
2.9%
주영에스앤씨 1
 
1.4%
봄날엔청소 1
 
1.4%
주)토경실업 1
 
1.4%
카카베베(kakabebe 1
 
1.4%
송도에스이 1
 
1.4%
신풍용역 1
 
1.4%
한울크린환경 1
 
1.4%
스마트클린 1
 
1.4%
Other values (50) 50
71.4%
2024-04-06T18:43:29.902576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
6.2%
17
 
4.1%
) 17
 
4.1%
( 17
 
4.1%
사 14
 
3.3%
스 14
 
3.3%
회 11
 
2.6%
이 11
 
2.6%
식 10
 
2.4%
역 9
 
2.1%
Other values (137) 273
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
84.0%
Space Separator 17
 
4.1%
Close Punctuation 17
 
4.1%
Open Punctuation 17
 
4.1%
Lowercase Letter 6
 
1.4%
Uppercase Letter 6
 
1.4%
Decimal Number 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
7.4%
사 14
 
4.0%
스 14
 
4.0%
회 11
 
3.1%
이 11
 
3.1%
식 10
 
2.8%
역 9
 
2.6%
린 8
 
2.3%
트 8
 
2.3%
방 7
 
2.0%
Other values (123) 234
66.5%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
T 1
16.7%
N 1
16.7%
I 1
16.7%
F 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
a 2
33.3%
b 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
9 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
84.0%
Common 55
 
13.1%
Latin 12
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
7.4%
사 14
 
4.0%
스 14
 
4.0%
회 11
 
3.1%
이 11
 
3.1%
식 10
 
2.8%
역 9
 
2.6%
린 8
 
2.3%
트 8
 
2.3%
방 7
 
2.0%
Other values (123) 234
66.5%
Latin
ValueCountFrequency (%)
e 2
16.7%
K 2
16.7%
a 2
16.7%
b 2
16.7%
T 1
8.3%
N 1
8.3%
I 1
8.3%
F 1
8.3%
Common
ValueCountFrequency (%)
17
30.9%
) 17
30.9%
( 17
30.9%
1 2
 
3.6%
9 1
 
1.8%
5 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
84.0%
ASCII 67
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
7.4%
사 14
 
4.0%
스 14
 
4.0%
회 11
 
3.1%
이 11
 
3.1%
식 10
 
2.8%
역 9
 
2.6%
린 8
 
2.3%
트 8
 
2.3%
방 7
 
2.0%
Other values (123) 234
66.5%
ASCII
ValueCountFrequency (%)
17
25.4%
) 17
25.4%
( 17
25.4%
e 2
 
3.0%
1 2
 
3.0%
K 2
 
3.0%
a 2
 
3.0%
b 2
 
3.0%
9 1
 
1.5%
T 1
 
1.5%
Other values (4) 4
 
6.0%

허가명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
소독업
53 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소독업
2nd row소독업
3rd row소독업
4th row소독업
5th row소독업

Common Values

ValueCountFrequency (%)
소독업 53
100.0%

Length

2024-04-06T18:43:30.037387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:43:30.141096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소독업 53
100.0%

사무실소재지(도로명)
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-06T18:43:30.413682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length37.226415
Min length19

Characters and Unicode

Total characters1973
Distinct characters170
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

Unique53 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 먼우금로251번길 50-13, 1층 (연수동)
2nd row인천광역시 연수구 선학로 101, 212-4호 (선학동, 뉴서울1차아파트)
3rd row인천광역시 연수구 송도국제대로 123, 현대프리미엄 아울렛 송도점 지하3층 B323호 (송도동)
4th row인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 1402호 (송도동)
5th row인천광역시 연수구 벚꽃로 106, 연수광장프라자 414호 (청학동)
ValueCountFrequency (%)
인천광역시 53
 
14.3%
연수구 52
 
14.0%
청학동 15
 
4.0%
연수동 12
 
3.2%
송도동 11
 
3.0%
옥련동 6
 
1.6%
2층 5
 
1.3%
벚꽃로 5
 
1.3%
1층 4
 
1.1%
선학동 4
 
1.1%
Other values (167) 204
55.0%
2024-04-06T18:43:30.919664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
 
16.3%
1 80
 
4.1%
동 69
 
3.5%
연 69
 
3.5%
수 68
 
3.4%
, 57
 
2.9%
인 57
 
2.9%
광 56
 
2.8%
천 55
 
2.8%
시 54
 
2.7%
Other values (160) 1086
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1139
57.7%
Space Separator 322
 
16.3%
Decimal Number 315
 
16.0%
Other Punctuation 58
 
2.9%
Open Punctuation 53
 
2.7%
Close Punctuation 53
 
2.7%
Uppercase Letter 20
 
1.0%
Dash Punctuation 13
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 69
 
6.1%
연 69
 
6.1%
수 68
 
6.0%
인 57
 
5.0%
광 56
 
4.9%
천 55
 
4.8%
시 54
 
4.7%
로 54
 
4.7%
구 53
 
4.7%
역 53
 
4.7%
Other values (135) 551
48.4%
Decimal Number
ValueCountFrequency (%)
1 80
25.4%
2 51
16.2%
0 44
14.0%
3 34
10.8%
4 29
 
9.2%
5 23
 
7.3%
8 18
 
5.7%
6 17
 
5.4%
7 11
 
3.5%
9 8
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
35.0%
C 2
 
10.0%
D 2
 
10.0%
R 2
 
10.0%
S 2
 
10.0%
T 2
 
10.0%
A 1
 
5.0%
F 1
 
5.0%
I 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 57
98.3%
& 1
 
1.7%
Space Separator
ValueCountFrequency (%)
322
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1139
57.7%
Common 814
41.3%
Latin 20
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 69
 
6.1%
연 69
 
6.1%
수 68
 
6.0%
인 57
 
5.0%
광 56
 
4.9%
천 55
 
4.8%
시 54
 
4.7%
로 54
 
4.7%
구 53
 
4.7%
역 53
 
4.7%
Other values (135) 551
48.4%
Common
ValueCountFrequency (%)
322
39.6%
1 80
 
9.8%
, 57
 
7.0%
( 53
 
6.5%
) 53
 
6.5%
2 51
 
6.3%
0 44
 
5.4%
3 34
 
4.2%
4 29
 
3.6%
5 23
 
2.8%
Other values (6) 68
 
8.4%
Latin
ValueCountFrequency (%)
B 7
35.0%
C 2
 
10.0%
D 2
 
10.0%
R 2
 
10.0%
S 2
 
10.0%
T 2
 
10.0%
A 1
 
5.0%
F 1
 
5.0%
I 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1139
57.7%
ASCII 834
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
38.6%
1 80
 
9.6%
, 57
 
6.8%
( 53
 
6.4%
) 53
 
6.4%
2 51
 
6.1%
0 44
 
5.3%
3 34
 
4.1%
4 29
 
3.5%
5 23
 
2.8%
Other values (15) 88
 
10.6%
Hangul
ValueCountFrequency (%)
동 69
 
6.1%
연 69
 
6.1%
수 68
 
6.0%
인 57
 
5.0%
광 56
 
4.9%
천 55
 
4.8%
시 54
 
4.7%
로 54
 
4.7%
구 53
 
4.7%
역 53
 
4.7%
Other values (135) 551
48.4%

유형
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
개인
27 
법인
25 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0377358
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row법인
2nd row개인
3rd row법인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 27
50.9%
법인 25
47.2%
<NA> 1
 
1.9%

Length

2024-04-06T18:43:31.130598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:43:31.241437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 27
50.9%
법인 25
47.2%
na 1
 
1.9%

법인명
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing27
Missing (%)50.9%
Memory size556.0 B
2024-04-06T18:43:31.397908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.1153846
Min length6

Characters and Unicode

Total characters237
Distinct characters85
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row주식회사 주영에스앤씨
2nd row주식회사 더이앤케이파트너스
3rd row주식회사 아라세이브
4th row주식회사 메카
5th row주식회사 이안메디팜
ValueCountFrequency (%)
주식회사 14
34.1%
주)세스코 2
 
4.9%
주식회사샤인레즈 1
 
2.4%
주영에스앤씨 1
 
2.4%
주)수림종합관리 1
 
2.4%
주)크린웰 1
 
2.4%
주)대일시스템 1
 
2.4%
한국인력(주 1
 
2.4%
송도에스이 1
 
2.4%
주)토경실업 1
 
2.4%
Other values (17) 17
41.5%
2024-04-06T18:43:31.781925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
11.0%
사 16
 
6.8%
식 15
 
6.3%
회 15
 
6.3%
15
 
6.3%
) 10
 
4.2%
( 10
 
4.2%
스 8
 
3.4%
이 6
 
2.5%
코 5
 
2.1%
Other values (75) 111
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
85.2%
Space Separator 15
 
6.3%
Close Punctuation 10
 
4.2%
Open Punctuation 10
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
12.9%
사 16
 
7.9%
식 15
 
7.4%
회 15
 
7.4%
스 8
 
4.0%
이 6
 
3.0%
코 5
 
2.5%
에 5
 
2.5%
리 4
 
2.0%
인 4
 
2.0%
Other values (72) 98
48.5%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
85.2%
Common 35
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
12.9%
사 16
 
7.9%
식 15
 
7.4%
회 15
 
7.4%
스 8
 
4.0%
이 6
 
3.0%
코 5
 
2.5%
에 5
 
2.5%
리 4
 
2.0%
인 4
 
2.0%
Other values (72) 98
48.5%
Common
ValueCountFrequency (%)
15
42.9%
) 10
28.6%
( 10
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
85.2%
ASCII 35
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
12.9%
사 16
 
7.9%
식 15
 
7.4%
회 15
 
7.4%
스 8
 
4.0%
이 6
 
3.0%
코 5
 
2.5%
에 5
 
2.5%
리 4
 
2.0%
인 4
 
2.0%
Other values (72) 98
48.5%
ASCII
ValueCountFrequency (%)
15
42.9%
) 10
28.6%
( 10
28.6%

창고소재지(도로명)
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing22
Missing (%)41.5%
Memory size556.0 B
2024-04-06T18:43:32.148070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length35.645161
Min length19

Characters and Unicode

Total characters1105
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

Unique29 ?
Unique (%)93.5%

Sample

1st row인천광역시 연수구 송도국제대로 123, 현대프리미엄 아울렛 송도점 지하3층 B336호 (송도동)
2nd row인천광역시 연수구 벚꽃로 106, 연수광장프라자 406-1호 (청학동)
3rd row인천광역시 연수구 센트럴로 415, 힐스테이트 송도 더테라스 지하1층 (송도동)
4th row인천광역시 연수구 새말로45번길 8-10, 201호 (연수동)
5th row인천광역시 연수구 센트럴로 313, B동 627호 (송도동)
ValueCountFrequency (%)
인천광역시 31
 
14.7%
연수구 30
 
14.2%
청학동 11
 
5.2%
연수동 8
 
3.8%
벚꽃로 5
 
2.4%
송도동 5
 
2.4%
2층 4
 
1.9%
지층 4
 
1.9%
상가동 3
 
1.4%
옥련동 3
 
1.4%
Other values (92) 107
50.7%
2024-04-06T18:43:32.650325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
16.5%
1 43
 
3.9%
연 41
 
3.7%
수 41
 
3.7%
동 38
 
3.4%
광 33
 
3.0%
인 32
 
2.9%
로 31
 
2.8%
, 31
 
2.8%
천 31
 
2.8%
Other values (109) 602
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
58.8%
Space Separator 182
 
16.5%
Decimal Number 168
 
15.2%
Other Punctuation 31
 
2.8%
Close Punctuation 30
 
2.7%
Open Punctuation 30
 
2.7%
Dash Punctuation 7
 
0.6%
Uppercase Letter 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 41
 
6.3%
수 41
 
6.3%
동 38
 
5.8%
광 33
 
5.1%
인 32
 
4.9%
로 31
 
4.8%
천 31
 
4.8%
역 31
 
4.8%
시 31
 
4.8%
구 30
 
4.6%
Other values (91) 311
47.8%
Decimal Number
ValueCountFrequency (%)
1 43
25.6%
2 23
13.7%
0 19
11.3%
4 18
10.7%
3 17
 
10.1%
5 14
 
8.3%
6 12
 
7.1%
8 9
 
5.4%
7 8
 
4.8%
9 5
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
71.4%
A 1
 
14.3%
T 1
 
14.3%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
58.8%
Common 448
40.5%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 41
 
6.3%
수 41
 
6.3%
동 38
 
5.8%
광 33
 
5.1%
인 32
 
4.9%
로 31
 
4.8%
천 31
 
4.8%
역 31
 
4.8%
시 31
 
4.8%
구 30
 
4.6%
Other values (91) 311
47.8%
Common
ValueCountFrequency (%)
182
40.6%
1 43
 
9.6%
, 31
 
6.9%
) 30
 
6.7%
( 30
 
6.7%
2 23
 
5.1%
0 19
 
4.2%
4 18
 
4.0%
3 17
 
3.8%
5 14
 
3.1%
Other values (5) 41
 
9.2%
Latin
ValueCountFrequency (%)
B 5
71.4%
A 1
 
14.3%
T 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
58.8%
ASCII 455
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
40.0%
1 43
 
9.5%
, 31
 
6.8%
) 30
 
6.6%
( 30
 
6.6%
2 23
 
5.1%
0 19
 
4.2%
4 18
 
4.0%
3 17
 
3.7%
5 14
 
3.1%
Other values (8) 48
 
10.5%
Hangul
ValueCountFrequency (%)
연 41
 
6.3%
수 41
 
6.3%
동 38
 
5.8%
광 33
 
5.1%
인 32
 
4.9%
로 31
 
4.8%
천 31
 
4.8%
역 31
 
4.8%
시 31
 
4.8%
구 30
 
4.6%
Other values (91) 311
47.8%

처리일자
Date

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum1999-05-13 00:00:00
Maximum2023-02-07 00:00:00
2024-04-06T18:43:32.827446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:43:33.011742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-06T18:43:27.535889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:43:33.149027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번신고번호소독업소명칭사무실소재지(도로명)유형법인명창고소재지(도로명)처리일자
순번1.0001.0001.0001.0000.0000.0000.9740.938
신고번호1.0001.0001.0001.0001.0001.0001.0001.000
소독업소명칭1.0001.0001.0001.0001.0001.0001.0001.000
사무실소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
유형0.0001.0001.0001.0001.000NaN1.0001.000
법인명0.0001.0001.0001.000NaN1.0001.0000.994
창고소재지(도로명)0.9741.0001.0001.0001.0001.0001.0000.996
처리일자0.9381.0001.0001.0001.0000.9940.9961.000
2024-04-06T18:43:33.290588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유형
순번1.0000.000
유형0.0001.000

Missing values

2024-04-06T18:43:27.660314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:43:27.804319image/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.
2024-04-06T18:43:27.925529image/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

순번신고번호소독업소명칭허가명사무실소재지(도로명)유형법인명창고소재지(도로명)처리일자
01PHMB520233520019042500002주식회사 주영에스앤씨소독업인천광역시 연수구 먼우금로251번길 50-13, 1층 (연수동)법인주식회사 주영에스앤씨<NA>2023-02-07
12PHMB520233520019042500001드림티엔씨소독업인천광역시 연수구 선학로 101, 212-4호 (선학동, 뉴서울1차아파트)개인<NA><NA>2023-02-02
23PHMB520223520019042500006주식회사 더이앤케이파트너스소독업인천광역시 연수구 송도국제대로 123, 현대프리미엄 아울렛 송도점 지하3층 B323호 (송도동)법인주식회사 더이앤케이파트너스인천광역시 연수구 송도국제대로 123, 현대프리미엄 아울렛 송도점 지하3층 B336호 (송도동)2022-12-28
34PHMB520223520019042500005(주)아라세이브소독업인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 1402호 (송도동)법인주식회사 아라세이브<NA>2022-12-06
45PHMB520223520019042500003그린F5 연수본부소독업인천광역시 연수구 벚꽃로 106, 연수광장프라자 414호 (청학동)개인<NA>인천광역시 연수구 벚꽃로 106, 연수광장프라자 406-1호 (청학동)2022-08-17
56PHMB520223520019042500002주식회사 메카소독업인천광역시 연수구 용담로125번길 41, 메카리움오피스텔 401,401-1호 (연수동)법인주식회사 메카<NA>2022-08-12
67PHMB520223520019042500001주식회사 이안메디팜소독업인천광역시 연수구 청량로 188, FS프라자 101,102호 (옥련동)법인주식회사 이안메디팜<NA>2023-01-09
78PHMB520213520019042500011(주)인하항공여행사소독업인천광역시 연수구 인천타워대로54번길 13, 해승메디피아 403-3호 (송도동)법인주식회사 인하항공여행사<NA>2021-11-26
89PHMB520213520019042500010화이트크린소독업인천광역시 연수구 솔샘로 66, 6동 101호 (청학동, 전원미추홀타운)개인<NA><NA>2021-09-14
910PHMB520213520019042500009(주)홈투홈종합관리소독업인천광역시 연수구 센트럴로 263, 송도국제업무단지 C8-2블럭 업무복합시설 2408호 (송도동)법인(주)홈투홈종합관리인천광역시 연수구 센트럴로 415, 힐스테이트 송도 더테라스 지하1층 (송도동)2021-07-02
순번신고번호소독업소명칭허가명사무실소재지(도로명)유형법인명창고소재지(도로명)처리일자
4344PHMB520133520019042500004인천연수지역자활센터소독업인천광역시 연수구 청명로3번길 8-5 (청학동)개인<NA>인천광역시 연수구 청능대로53번길 24-7, 지층 (청학동)2020-06-27
4445PHMB520133520019042500002(주)대일시스템소독업인천광역시 연수구 비류대로256번길 8-14 (청학동)법인(주)대일시스템인천광역시 연수구 비류대로256번길 8-14 (청학동)2019-02-20
4546PHMB520123520019042500005(주)크린웰소독업인천광역시 청능대로53번길 24-7법인(주)크린웰인천광역시 청능대로53번길 24-72017-06-26
4647PHMB520123520019042500003자연과사람소독업인천광역시 연수구 청량로 171, 지층 101호 (옥련동)개인<NA>인천광역시 연수구 청량로 171, 지층 101호 (옥련동)2018-02-13
4748PHMB520193520019042500004키즈토이소독업인천광역시 연수구 함박뫼로50번길 15-8, 101호 (연수동)개인<NA><NA>2019-06-14
4849PHMB520083520019042500001INT(아이엔티)소독업인천광역시 연수구 솔샘로 20 (청학동)개인<NA>인천광역시 연수구 솔샘로 20 (청학동)2020-04-08
4950PHMB520083520019042500002(주)수림종합관리소독업인천광역시 연수구 학나래로118번길 10, A동 2층 (선학동)법인(주)수림종합관리인천광역시 연수구 학나래로118번길 10, A동 2층 (선학동)2017-11-30
5051PHMB520063520019042500001(주)프리죤소독업인천광역시 연수구 아카데미로51번길 19 (송도동,센트리올내5층)법인(주)프리죤인천광역시 연수구 아카데미로51번길 19 (송도동,센트리올내5층)2020-04-13
5152PHMB520023520019042500001동춘환경소독업인천광역시 연수구 청량로184번길 4, 한송에코빌 102호 (옥련동)개인<NA>인천광역시 연수구 청량로184번길 4, 한송에코빌 102호 (옥련동)2022-07-08
5253PHMB519993520019042500001선학환경소독업인천광역시 연수구 먼우금로 249 (연수동)개인<NA>인천광역시 연수구 먼우금로 249 (연수동)1999-05-13