Overview

Dataset statistics

Number of variables7
Number of observations52
Missing cells44
Missing cells (%)12.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory59.5 B

Variable types

Numeric1
Text5
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

법인명 has 26 (50.0%) missing valuesMissing
창고소재지(도로명) has 18 (34.6%) missing valuesMissing
순번 has unique valuesUnique
신고번호 has unique valuesUnique
소독업소명칭 has unique valuesUnique
사무실소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:43:41.303608
Analysis finished2024-04-06 09:43:42.325045
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.903846
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T18:43:42.418676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q115.5
median33
Q358.25
95-th percentile79.45
Maximum83
Range82
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation24.796631
Coefficient of variation (CV)0.67192539
Kurtosis-1.1185275
Mean36.903846
Median Absolute Deviation (MAD)20.5
Skewness0.29931685
Sum1919
Variance614.87293
MonotonicityStrictly increasing
2024-04-06T18:43:42.561878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
38 1
 
1.9%
41 1
 
1.9%
42 1
 
1.9%
43 1
 
1.9%
44 1
 
1.9%
46 1
 
1.9%
47 1
 
1.9%
51 1
 
1.9%
52 1
 
1.9%
Other values (42) 42
80.8%
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%
10 1
1.9%
11 1
1.9%
ValueCountFrequency (%)
83 1
1.9%
82 1
1.9%
80 1
1.9%
79 1
1.9%
75 1
1.9%
72 1
1.9%
70 1
1.9%
68 1
1.9%
67 1
1.9%
64 1
1.9%

신고번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-06T18:43:42.798078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1300
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

Unique52 ?
Unique (%)100.0%

Sample

1st rowPHMB520243520019042500003
2nd rowPHMB520243520019042500002
3rd rowPHMB520233520019042500008
4th rowPHMB520233520019042500006
5th rowPHMB520233520019042500005
ValueCountFrequency (%)
phmb520243520019042500003 1
 
1.9%
phmb520243520019042500002 1
 
1.9%
phmb520153520019042500003 1
 
1.9%
phmb520193520019042500002 1
 
1.9%
phmb520193520019042500001 1
 
1.9%
phmb520183520019042500003 1
 
1.9%
phmb520183520019042500002 1
 
1.9%
phmb520183520019042500001 1
 
1.9%
phmb520173520019042500002 1
 
1.9%
phmb520183520019042500004 1
 
1.9%
Other values (42) 42
80.8%
2024-04-06T18:43:43.149439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 423
32.5%
2 201
15.5%
5 166
 
12.8%
1 90
 
6.9%
3 71
 
5.5%
4 61
 
4.7%
9 61
 
4.7%
P 52
 
4.0%
H 52
 
4.0%
M 52
 
4.0%
Other values (4) 71
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1092
84.0%
Uppercase Letter 208
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
38.7%
2 201
18.4%
5 166
 
15.2%
1 90
 
8.2%
3 71
 
6.5%
4 61
 
5.6%
9 61
 
5.6%
8 8
 
0.7%
6 7
 
0.6%
7 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 52
25.0%
H 52
25.0%
M 52
25.0%
B 52
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1092
84.0%
Latin 208
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 423
38.7%
2 201
18.4%
5 166
 
15.2%
1 90
 
8.2%
3 71
 
6.5%
4 61
 
5.6%
9 61
 
5.6%
8 8
 
0.7%
6 7
 
0.6%
7 4
 
0.4%
Latin
ValueCountFrequency (%)
P 52
25.0%
H 52
25.0%
M 52
25.0%
B 52
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 423
32.5%
2 201
15.5%
5 166
 
12.8%
1 90
 
6.9%
3 71
 
5.5%
4 61
 
4.7%
9 61
 
4.7%
P 52
 
4.0%
H 52
 
4.0%
M 52
 
4.0%
Other values (4) 71
 
5.5%

소독업소명칭
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-06T18:43:43.434532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.4423077
Min length3

Characters and Unicode

Total characters439
Distinct characters150
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

Unique52 ?
Unique (%)100.0%

Sample

1st row주식회사 케이앤비이
2nd row하마이앤엠
3rd row코덱소(KODEXO)
4th row(주)숲과나무
5th row주식회사 세진기업
ValueCountFrequency (%)
주식회사 11
 
15.5%
주)세스코 2
 
2.8%
케이앤비이 1
 
1.4%
인천 1
 
1.4%
스팀온 1
 
1.4%
나우종합관리(주 1
 
1.4%
미소클린 1
 
1.4%
봄날엔청소 1
 
1.4%
주)토경실업 1
 
1.4%
카카베베(kakabebe 1
 
1.4%
Other values (50) 50
70.4%
2024-04-06T18:43:43.801499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
6.2%
19
 
4.3%
) 18
 
4.1%
스 18
 
4.1%
( 18
 
4.1%
이 14
 
3.2%
사 13
 
3.0%
회 12
 
2.7%
식 11
 
2.5%
역 9
 
2.1%
Other values (140) 280
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
82.5%
Space Separator 19
 
4.3%
Close Punctuation 18
 
4.1%
Open Punctuation 18
 
4.1%
Uppercase Letter 12
 
2.7%
Lowercase Letter 6
 
1.4%
Decimal Number 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
7.5%
스 18
 
5.0%
이 14
 
3.9%
사 13
 
3.6%
회 12
 
3.3%
식 11
 
3.0%
역 9
 
2.5%
린 8
 
2.2%
인 7
 
1.9%
트 7
 
1.9%
Other values (122) 236
65.2%
Uppercase Letter
ValueCountFrequency (%)
K 3
25.0%
O 2
16.7%
D 1
 
8.3%
E 1
 
8.3%
T 1
 
8.3%
N 1
 
8.3%
I 1
 
8.3%
X 1
 
8.3%
F 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
b 2
33.3%
e 2
33.3%
a 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
9 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
82.5%
Common 59
 
13.4%
Latin 18
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
7.5%
스 18
 
5.0%
이 14
 
3.9%
사 13
 
3.6%
회 12
 
3.3%
식 11
 
3.0%
역 9
 
2.5%
린 8
 
2.2%
인 7
 
1.9%
트 7
 
1.9%
Other values (122) 236
65.2%
Latin
ValueCountFrequency (%)
K 3
16.7%
b 2
11.1%
e 2
11.1%
a 2
11.1%
O 2
11.1%
D 1
 
5.6%
E 1
 
5.6%
T 1
 
5.6%
N 1
 
5.6%
I 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
19
32.2%
) 18
30.5%
( 18
30.5%
1 2
 
3.4%
9 1
 
1.7%
5 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
82.5%
ASCII 77
 
17.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
7.5%
스 18
 
5.0%
이 14
 
3.9%
사 13
 
3.6%
회 12
 
3.3%
식 11
 
3.0%
역 9
 
2.5%
린 8
 
2.2%
인 7
 
1.9%
트 7
 
1.9%
Other values (122) 236
65.2%
ASCII
ValueCountFrequency (%)
19
24.7%
) 18
23.4%
( 18
23.4%
K 3
 
3.9%
b 2
 
2.6%
1 2
 
2.6%
e 2
 
2.6%
a 2
 
2.6%
O 2
 
2.6%
D 1
 
1.3%
Other values (8) 8
10.4%

사무실소재지(도로명)
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-06T18:43:44.100983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46.5
Mean length38.403846
Min length19

Characters and Unicode

Total characters1997
Distinct characters165
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

Unique52 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 2103호 (송도동)
2nd row인천광역시 연수구 새말로45번길 20, 103호 (연수동)
3rd row인천광역시 연수구 인천타워대로54번길 15-3, 리슈플라자 파이오피스(501,502호) R129호 (송도동)
4th row인천광역시 연수구 청솔로 62-3, 1층 일부호 (청학동)
5th row인천광역시 연수구 인권로 2, 송도프라자 307호 (옥련동)
ValueCountFrequency (%)
인천광역시 52
 
13.9%
연수구 51
 
13.6%
청학동 15
 
4.0%
연수동 13
 
3.5%
송도동 13
 
3.5%
옥련동 7
 
1.9%
2층 5
 
1.3%
벚꽃로 4
 
1.1%
센트럴로 4
 
1.1%
상가동 4
 
1.1%
Other values (169) 206
55.1%
2024-04-06T18:43:44.533162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
16.3%
1 89
 
4.5%
동 68
 
3.4%
연 68
 
3.4%
수 67
 
3.4%
인 59
 
3.0%
2 58
 
2.9%
, 58
 
2.9%
시 55
 
2.8%
천 54
 
2.7%
Other values (155) 1095
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1136
56.9%
Decimal Number 328
 
16.4%
Space Separator 326
 
16.3%
Other Punctuation 59
 
3.0%
Close Punctuation 53
 
2.7%
Open Punctuation 53
 
2.7%
Uppercase Letter 30
 
1.5%
Dash Punctuation 12
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 68
 
6.0%
연 68
 
6.0%
수 67
 
5.9%
인 59
 
5.2%
시 55
 
4.8%
천 54
 
4.8%
로 54
 
4.8%
광 54
 
4.8%
구 52
 
4.6%
역 52
 
4.6%
Other values (128) 553
48.7%
Uppercase Letter
ValueCountFrequency (%)
B 7
23.3%
C 4
13.3%
R 4
13.3%
T 3
10.0%
S 3
10.0%
D 2
 
6.7%
I 2
 
6.7%
E 2
 
6.7%
N 1
 
3.3%
F 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 89
27.1%
2 58
17.7%
0 46
14.0%
3 38
11.6%
4 23
 
7.0%
5 22
 
6.7%
8 18
 
5.5%
6 15
 
4.6%
7 10
 
3.0%
9 9
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 58
98.3%
& 1
 
1.7%
Space Separator
ValueCountFrequency (%)
326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1136
56.9%
Common 831
41.6%
Latin 30
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 68
 
6.0%
연 68
 
6.0%
수 67
 
5.9%
인 59
 
5.2%
시 55
 
4.8%
천 54
 
4.8%
로 54
 
4.8%
광 54
 
4.8%
구 52
 
4.6%
역 52
 
4.6%
Other values (128) 553
48.7%
Common
ValueCountFrequency (%)
326
39.2%
1 89
 
10.7%
2 58
 
7.0%
, 58
 
7.0%
) 53
 
6.4%
( 53
 
6.4%
0 46
 
5.5%
3 38
 
4.6%
4 23
 
2.8%
5 22
 
2.6%
Other values (6) 65
 
7.8%
Latin
ValueCountFrequency (%)
B 7
23.3%
C 4
13.3%
R 4
13.3%
T 3
10.0%
S 3
10.0%
D 2
 
6.7%
I 2
 
6.7%
E 2
 
6.7%
N 1
 
3.3%
F 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1136
56.9%
ASCII 861
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
37.9%
1 89
 
10.3%
2 58
 
6.7%
, 58
 
6.7%
) 53
 
6.2%
( 53
 
6.2%
0 46
 
5.3%
3 38
 
4.4%
4 23
 
2.7%
5 22
 
2.6%
Other values (17) 95
 
11.0%
Hangul
ValueCountFrequency (%)
동 68
 
6.0%
연 68
 
6.0%
수 67
 
5.9%
인 59
 
5.2%
시 55
 
4.8%
천 54
 
4.8%
로 54
 
4.8%
광 54
 
4.8%
구 52
 
4.6%
역 52
 
4.6%
Other values (128) 553
48.7%

법인명
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing26
Missing (%)50.0%
Memory size548.0 B
2024-04-06T18:43:44.759713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.3076923
Min length6

Characters and Unicode

Total characters242
Distinct characters82
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 케이앤비이
2nd row주식회사 숲과나무
3rd row주식회사 주영에스앤씨
4th row주식회사 더이앤케이파트너스
5th row주식회사 아라세이브
ValueCountFrequency (%)
주식회사 14
34.1%
주)세스코 2
 
4.9%
대원리스오스시스템주식회사 1
 
2.4%
케이앤비이 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%
봄날엔청소 1
 
2.4%
Other values (17) 17
41.5%
2024-04-06T18:43:45.205626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
10.7%
사 16
 
6.6%
식 16
 
6.6%
회 16
 
6.6%
15
 
6.2%
스 11
 
4.5%
( 9
 
3.7%
) 9
 
3.7%
이 8
 
3.3%
코 4
 
1.7%
Other values (72) 112
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
86.4%
Space Separator 15
 
6.2%
Open Punctuation 9
 
3.7%
Close Punctuation 9
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
12.4%
사 16
 
7.7%
식 16
 
7.7%
회 16
 
7.7%
스 11
 
5.3%
이 8
 
3.8%
코 4
 
1.9%
리 4
 
1.9%
합 4
 
1.9%
에 4
 
1.9%
Other values (69) 100
47.8%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
86.4%
Common 33
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
12.4%
사 16
 
7.7%
식 16
 
7.7%
회 16
 
7.7%
스 11
 
5.3%
이 8
 
3.8%
코 4
 
1.9%
리 4
 
1.9%
합 4
 
1.9%
에 4
 
1.9%
Other values (69) 100
47.8%
Common
ValueCountFrequency (%)
15
45.5%
( 9
27.3%
) 9
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
86.4%
ASCII 33
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
12.4%
사 16
 
7.7%
식 16
 
7.7%
회 16
 
7.7%
스 11
 
5.3%
이 8
 
3.8%
코 4
 
1.9%
리 4
 
1.9%
합 4
 
1.9%
에 4
 
1.9%
Other values (69) 100
47.8%
ASCII
ValueCountFrequency (%)
15
45.5%
( 9
27.3%
) 9
27.3%

창고소재지(도로명)
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing18
Missing (%)34.6%
Memory size548.0 B
2024-04-06T18:43:45.560636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length35.882353
Min length19

Characters and Unicode

Total characters1220
Distinct characters122
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

Unique32 ?
Unique (%)94.1%

Sample

1st row인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 2103호 (송도동)
2nd row인천광역시 연수구 청솔로 62-3, 1층 일부호 (청학동)
3rd row인천광역시 연수구 인권로 2, 송도프라자 5층 일부호 (옥련동)
4th row인천광역시 연수구 먼우금로251번길 1, 201호 일부호 (연수동)
5th row인천광역시 연수구 송도국제대로 123, 현대프리미엄 아울렛 송도점 지하3층 B336호 (송도동)
ValueCountFrequency (%)
인천광역시 34
 
14.5%
연수구 32
 
13.7%
청학동 11
 
4.7%
연수동 10
 
4.3%
송도동 5
 
2.1%
옥련동 4
 
1.7%
201호 4
 
1.7%
벚꽃로 4
 
1.7%
일부호 3
 
1.3%
102호 3
 
1.3%
Other values (109) 124
53.0%
2024-04-06T18:43:46.095770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
16.6%
1 57
 
4.7%
연 45
 
3.7%
수 45
 
3.7%
동 42
 
3.4%
인 37
 
3.0%
시 36
 
3.0%
, 35
 
2.9%
광 35
 
2.9%
로 34
 
2.8%
Other values (112) 652
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
58.1%
Space Separator 202
 
16.6%
Decimal Number 193
 
15.8%
Other Punctuation 35
 
2.9%
Close Punctuation 33
 
2.7%
Open Punctuation 33
 
2.7%
Uppercase Letter 8
 
0.7%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 45
 
6.3%
수 45
 
6.3%
동 42
 
5.9%
인 37
 
5.2%
시 36
 
5.1%
광 35
 
4.9%
로 34
 
4.8%
천 34
 
4.8%
역 34
 
4.8%
구 33
 
4.7%
Other values (92) 334
47.1%
Decimal Number
ValueCountFrequency (%)
1 57
29.5%
2 32
16.6%
0 23
11.9%
3 20
 
10.4%
4 16
 
8.3%
5 13
 
6.7%
6 10
 
5.2%
8 9
 
4.7%
7 8
 
4.1%
9 5
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
50.0%
T 1
 
12.5%
I 1
 
12.5%
A 1
 
12.5%
S 1
 
12.5%
Space Separator
ValueCountFrequency (%)
202
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
58.1%
Common 503
41.2%
Latin 8
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 45
 
6.3%
수 45
 
6.3%
동 42
 
5.9%
인 37
 
5.2%
시 36
 
5.1%
광 35
 
4.9%
로 34
 
4.8%
천 34
 
4.8%
역 34
 
4.8%
구 33
 
4.7%
Other values (92) 334
47.1%
Common
ValueCountFrequency (%)
202
40.2%
1 57
 
11.3%
, 35
 
7.0%
) 33
 
6.6%
( 33
 
6.6%
2 32
 
6.4%
0 23
 
4.6%
3 20
 
4.0%
4 16
 
3.2%
5 13
 
2.6%
Other values (5) 39
 
7.8%
Latin
ValueCountFrequency (%)
B 4
50.0%
T 1
 
12.5%
I 1
 
12.5%
A 1
 
12.5%
S 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
58.1%
ASCII 511
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
39.5%
1 57
 
11.2%
, 35
 
6.8%
) 33
 
6.5%
( 33
 
6.5%
2 32
 
6.3%
0 23
 
4.5%
3 20
 
3.9%
4 16
 
3.1%
5 13
 
2.5%
Other values (10) 47
 
9.2%
Hangul
ValueCountFrequency (%)
연 45
 
6.3%
수 45
 
6.3%
동 42
 
5.9%
인 37
 
5.2%
시 36
 
5.1%
광 35
 
4.9%
로 34
 
4.8%
천 34
 
4.8%
역 34
 
4.8%
구 33
 
4.7%
Other values (92) 334
47.1%

처리일자
Date

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1999-05-13 00:00:00
Maximum2024-03-13 00:00:00
2024-04-06T18:43:46.273439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:43:46.444935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-06T18:43:41.834981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:43:46.557039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번신고번호소독업소명칭사무실소재지(도로명)법인명창고소재지(도로명)처리일자
순번1.0001.0001.0001.0000.0000.9280.932
신고번호1.0001.0001.0001.0001.0001.0001.000
소독업소명칭1.0001.0001.0001.0001.0001.0001.000
사무실소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
법인명0.0001.0001.0001.0001.0001.0000.994
창고소재지(도로명)0.9281.0001.0001.0001.0001.0000.997
처리일자0.9321.0001.0001.0000.9940.9971.000

Missing values

2024-04-06T18:43:41.962028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:43:42.130468image/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.
2024-04-06T18:43:42.277921image/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

순번신고번호소독업소명칭사무실소재지(도로명)법인명창고소재지(도로명)처리일자
01PHMB520243520019042500003주식회사 케이앤비이인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 2103호 (송도동)주식회사 케이앤비이인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 2103호 (송도동)2024-02-26
12PHMB520243520019042500002하마이앤엠인천광역시 연수구 새말로45번길 20, 103호 (연수동)<NA><NA>2024-01-16
23PHMB520233520019042500008코덱소(KODEXO)인천광역시 연수구 인천타워대로54번길 15-3, 리슈플라자 파이오피스(501,502호) R129호 (송도동)<NA><NA>2024-03-13
34PHMB520233520019042500006(주)숲과나무인천광역시 연수구 청솔로 62-3, 1층 일부호 (청학동)주식회사 숲과나무인천광역시 연수구 청솔로 62-3, 1층 일부호 (청학동)2023-10-17
45PHMB520233520019042500005주식회사 세진기업인천광역시 연수구 인권로 2, 송도프라자 307호 (옥련동)<NA>인천광역시 연수구 인권로 2, 송도프라자 5층 일부호 (옥련동)2023-09-07
56PHMB520233520019042500004클린 플레이스인천광역시 연수구 센트럴로 313, 송도씨워크인테라스한라 B동 1011호 (송도동)<NA><NA>2023-07-25
67PHMB520233520019042500003초아클린인천광역시 연수구 센트럴로 313, 씨워크인테라스한라 C동 2423호 (송도동)<NA><NA>2024-03-11
78PHMB520233520019042500002주식회사 주영에스앤씨인천광역시 연수구 먼우금로251번길 50-13, 1층 (연수동)주식회사 주영에스앤씨인천광역시 연수구 먼우금로251번길 1, 201호 일부호 (연수동)2023-02-07
810PHMB520223520019042500006주식회사 더이앤케이파트너스인천광역시 연수구 송도국제대로 123, 현대프리미엄 아울렛 송도점 지하3층 B323호 (송도동)주식회사 더이앤케이파트너스인천광역시 연수구 송도국제대로 123, 현대프리미엄 아울렛 송도점 지하3층 B336호 (송도동)2022-12-28
911PHMB520223520019042500005(주)아라세이브인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 1402호 (송도동)주식회사 아라세이브<NA>2022-12-06
순번신고번호소독업소명칭사무실소재지(도로명)법인명창고소재지(도로명)처리일자
4264PHMB520143520019042500001버그트랩인천광역시 연수구 원인재로 237, 상가동 B10호 (연수동, 대우1차아파트)<NA>인천광역시 연수구 원인재로 237, 상가동 B10호 (연수동, 대우1차아파트)2016-07-19
4367PHMB520133520019042500004인천연수지역자활센터인천광역시 연수구 청명로3번길 8-5 (청학동)<NA>인천광역시 연수구 청능대로53번길 24-7, 지층 (청학동)2020-06-27
4468PHMB520133520019042500002(주)대일시스템인천광역시 연수구 비류대로256번길 8-14 (청학동)(주)대일시스템인천광역시 연수구 비류대로256번길 8-14 (청학동)2019-02-20
4570PHMB520123520019042500005(주)크린웰인천광역시 청능대로53번길 24-7(주)크린웰인천광역시 청능대로53번길 24-72017-06-26
4672PHMB520123520019042500003자연과사람인천광역시 연수구 청량로 171, 지층 101호 (옥련동)<NA>인천광역시 연수구 청량로 171, 지층 101호 (옥련동)2018-02-13
4775PHMB520193520019042500004키즈토이인천광역시 연수구 함박뫼로50번길 15-8, 101호 (연수동)<NA><NA>2019-06-14
4879PHMB520083520019042500001INT(아이엔티)인천광역시 연수구 솔샘로 20 (청학동)<NA>인천광역시 연수구 솔샘로 20 (청학동)2020-04-08
4980PHMB520083520019042500002(주)수림종합관리인천광역시 연수구 학나래로118번길 10, A동 2층 (선학동)(주)수림종합관리인천광역시 연수구 학나래로118번길 10, A동 2층 (선학동)2017-11-30
5082PHMB520023520019042500001동춘환경인천광역시 연수구 청량로184번길 4, 한송에코빌 102호 (옥련동)<NA>인천광역시 연수구 청량로184번길 4, 한송에코빌 102호 (옥련동)2022-07-08
5183PHMB519993520019042500001선학환경인천광역시 연수구 먼우금로 249 (연수동)<NA>인천광역시 연수구 먼우금로 249 (연수동)1999-05-13