Overview

Dataset statistics

Number of variables5
Number of observations90
Missing cells27
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory42.4 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 서구에 위치한 소독업소 현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 소독업소 현황의 업체명, 소재지, 연락처에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090724/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 27 (30.0%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:15:49.552557
Analysis finished2024-04-21 07:15:50.839722
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.5
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size938.0 B
2024-04-21T16:15:51.058889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.45
Q123.25
median45.5
Q367.75
95-th percentile85.55
Maximum90
Range89
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation26.124701
Coefficient of variation (CV)0.57416925
Kurtosis-1.2
Mean45.5
Median Absolute Deviation (MAD)22.5
Skewness0
Sum4095
Variance682.5
MonotonicityStrictly increasing
2024-04-21T16:15:51.478209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
69 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
Other values (80) 80
88.9%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%

업체명
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T16:15:52.262764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12.5
Mean length7.8666667
Min length2

Characters and Unicode

Total characters708
Distinct characters182
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st row한국위생공사
2nd row153인테리어
3rd row호인세상
4th row프로방역
5th row주식회사 만월
ValueCountFrequency (%)
주식회사 22
 
17.2%
주)세스코 2
 
1.6%
한국위생공사 1
 
0.8%
엠오엠테크 1
 
0.8%
주식회사시스템 1
 
0.8%
코스트크린 1
 
0.8%
나라 1
 
0.8%
깨끗한 1
 
0.8%
천광종합관리 1
 
0.8%
에스엘주택관리 1
 
0.8%
Other values (96) 96
75.0%
2024-04-21T16:15:53.462429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 44
 
6.2%
38
 
5.4%
사 33
 
4.7%
회 27
 
3.8%
식 24
 
3.4%
스 22
 
3.1%
이 19
 
2.7%
( 18
 
2.5%
) 18
 
2.5%
린 16
 
2.3%
Other values (172) 449
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
88.1%
Space Separator 38
 
5.4%
Open Punctuation 18
 
2.5%
Close Punctuation 18
 
2.5%
Decimal Number 9
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
7.1%
사 33
 
5.3%
회 27
 
4.3%
식 24
 
3.8%
스 22
 
3.5%
이 19
 
3.0%
린 16
 
2.6%
인 15
 
2.4%
에 12
 
1.9%
경 12
 
1.9%
Other values (164) 400
64.1%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
5 2
22.2%
3 2
22.2%
9 1
 
11.1%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
88.1%
Common 84
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
7.1%
사 33
 
5.3%
회 27
 
4.3%
식 24
 
3.8%
스 22
 
3.5%
이 19
 
3.0%
린 16
 
2.6%
인 15
 
2.4%
에 12
 
1.9%
경 12
 
1.9%
Other values (164) 400
64.1%
Common
ValueCountFrequency (%)
38
45.2%
( 18
21.4%
) 18
21.4%
1 4
 
4.8%
5 2
 
2.4%
3 2
 
2.4%
9 1
 
1.2%
& 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
88.1%
ASCII 84
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 44
 
7.1%
사 33
 
5.3%
회 27
 
4.3%
식 24
 
3.8%
스 22
 
3.5%
이 19
 
3.0%
린 16
 
2.6%
인 15
 
2.4%
에 12
 
1.9%
경 12
 
1.9%
Other values (164) 400
64.1%
ASCII
ValueCountFrequency (%)
38
45.2%
( 18
21.4%
) 18
21.4%
1 4
 
4.8%
5 2
 
2.4%
3 2
 
2.4%
9 1
 
1.2%
& 1
 
1.2%

소재지
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T16:15:54.422408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41.5
Mean length33.511111
Min length19

Characters and Unicode

Total characters3016
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

Unique90 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 심곡로55번길 9, 서도상가 (심곡동)
2nd row인천광역시 서구 용두산로 11, 103호 (심곡동)
3rd row인천광역시 서구 서달로123번안길 24, 인정재활원 (석남동)
4th row인천광역시 서구 완정로 158, 7층 701호 (마전동)
5th row인천광역시 서구 완정로 158, 중앙빌딩 7층 791호 (마전동)
ValueCountFrequency (%)
인천광역시 90
 
14.9%
서구 89
 
14.8%
1층 16
 
2.7%
마전동 12
 
2.0%
가좌동 11
 
1.8%
석남동 11
 
1.8%
완정로 11
 
1.8%
심곡동 11
 
1.8%
2층 9
 
1.5%
가정동 7
 
1.2%
Other values (238) 336
55.7%
2024-04-21T16:15:55.690536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
 
17.0%
1 139
 
4.6%
동 107
 
3.5%
서 95
 
3.1%
인 92
 
3.1%
광 92
 
3.1%
시 92
 
3.1%
로 91
 
3.0%
) 91
 
3.0%
( 91
 
3.0%
Other values (160) 1613
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1663
55.1%
Decimal Number 538
 
17.8%
Space Separator 513
 
17.0%
Close Punctuation 91
 
3.0%
Open Punctuation 91
 
3.0%
Other Punctuation 83
 
2.8%
Dash Punctuation 25
 
0.8%
Uppercase Letter 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 107
 
6.4%
서 95
 
5.7%
인 92
 
5.5%
광 92
 
5.5%
시 92
 
5.5%
로 91
 
5.5%
천 91
 
5.5%
역 90
 
5.4%
구 90
 
5.4%
호 49
 
2.9%
Other values (138) 774
46.5%
Decimal Number
ValueCountFrequency (%)
1 139
25.8%
2 78
14.5%
0 65
12.1%
3 62
11.5%
4 49
 
9.1%
6 38
 
7.1%
5 34
 
6.3%
8 32
 
5.9%
7 23
 
4.3%
9 18
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 6
50.0%
G 1
 
8.3%
C 1
 
8.3%
A 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
L 1
 
8.3%
Space Separator
ValueCountFrequency (%)
513
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1663
55.1%
Common 1341
44.5%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 107
 
6.4%
서 95
 
5.7%
인 92
 
5.5%
광 92
 
5.5%
시 92
 
5.5%
로 91
 
5.5%
천 91
 
5.5%
역 90
 
5.4%
구 90
 
5.4%
호 49
 
2.9%
Other values (138) 774
46.5%
Common
ValueCountFrequency (%)
513
38.3%
1 139
 
10.4%
) 91
 
6.8%
( 91
 
6.8%
, 83
 
6.2%
2 78
 
5.8%
0 65
 
4.8%
3 62
 
4.6%
4 49
 
3.7%
6 38
 
2.8%
Other values (5) 132
 
9.8%
Latin
ValueCountFrequency (%)
B 6
50.0%
G 1
 
8.3%
C 1
 
8.3%
A 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
L 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1663
55.1%
ASCII 1353
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
513
37.9%
1 139
 
10.3%
) 91
 
6.7%
( 91
 
6.7%
, 83
 
6.1%
2 78
 
5.8%
0 65
 
4.8%
3 62
 
4.6%
4 49
 
3.6%
6 38
 
2.8%
Other values (12) 144
 
10.6%
Hangul
ValueCountFrequency (%)
동 107
 
6.4%
서 95
 
5.7%
인 92
 
5.5%
광 92
 
5.5%
시 92
 
5.5%
로 91
 
5.5%
천 91
 
5.5%
역 90
 
5.4%
구 90
 
5.4%
호 49
 
2.9%
Other values (138) 774
46.5%

연락처
Text

MISSING 

Distinct63
Distinct (%)100.0%
Missing27
Missing (%)30.0%
Memory size848.0 B
2024-04-21T16:15:56.672235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.984127
Min length9

Characters and Unicode

Total characters755
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row032-566-7828
2nd row032-575-3355
3rd row032-574-0250/0475
4th row070-8811-0699
5th row032-213-5355
ValueCountFrequency (%)
032-566-7828 1
 
1.6%
032-569-1362~4 1
 
1.6%
032-561-0055 1
 
1.6%
070-8245-9671 1
 
1.6%
032-330-8357 1
 
1.6%
1588-1129 1
 
1.6%
0507-1401-5187 1
 
1.6%
032-561-1845 1
 
1.6%
032-545-1470 1
 
1.6%
032-569-2881 1
 
1.6%
Other values (53) 53
84.1%
2024-04-21T16:15:58.098353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 119
15.8%
0 106
14.0%
2 88
11.7%
3 82
10.9%
5 70
9.3%
1 65
8.6%
8 55
7.3%
7 52
6.9%
6 50
6.6%
4 37
 
4.9%
Other values (3) 31
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 633
83.8%
Dash Punctuation 119
 
15.8%
Math Symbol 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
16.7%
2 88
13.9%
3 82
13.0%
5 70
11.1%
1 65
10.3%
8 55
8.7%
7 52
8.2%
6 50
7.9%
4 37
 
5.8%
9 28
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 755
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 119
15.8%
0 106
14.0%
2 88
11.7%
3 82
10.9%
5 70
9.3%
1 65
8.6%
8 55
7.3%
7 52
6.9%
6 50
6.6%
4 37
 
4.9%
Other values (3) 31
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 755
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 119
15.8%
0 106
14.0%
2 88
11.7%
3 82
10.9%
5 70
9.3%
1 65
8.6%
8 55
7.3%
7 52
6.9%
6 50
6.6%
4 37
 
4.9%
Other values (3) 31
 
4.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size848.0 B
2023-09-30
90 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 90
100.0%

Length

2024-04-21T16:15:58.519668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:15:58.842530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 90
100.0%

Interactions

2024-04-21T16:15:50.109012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T16:15:59.042720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지연락처
연번1.0001.0001.0001.000
업체명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2024-04-21T16:15:50.413536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:15:50.720832image/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

연번업체명소재지연락처데이터기준일자
01한국위생공사인천광역시 서구 심곡로55번길 9, 서도상가 (심곡동)032-566-78282023-09-30
12153인테리어인천광역시 서구 용두산로 11, 103호 (심곡동)032-575-33552023-09-30
23호인세상인천광역시 서구 서달로123번안길 24, 인정재활원 (석남동)032-574-0250/04752023-09-30
34프로방역인천광역시 서구 완정로 158, 7층 701호 (마전동)<NA>2023-09-30
45주식회사 만월인천광역시 서구 완정로 158, 중앙빌딩 7층 791호 (마전동)070-8811-06992023-09-30
56아시아건설 주식회사인천광역시 서구 건지로 411, 범양상가 3층 3호 (가좌동)032-213-53552023-09-30
67당근방역인천광역시 서구 가경주로24번길 10-1(가정동)<NA>2023-09-30
78상쾌한 종합환경인천광역시 서구 완정로 179, 제이원검단메디컬프라자 6층 601-226호 (왕길동)<NA>2023-09-30
89주식회사 블루문인천광역시 서구 완정로 158, 중앙빌딩 7층 (마전동)<NA>2023-09-30
910주식회사 동감인천광역시 서구 청라한내로100번길 24, 902호 (청라동)032-710-34352023-09-30
연번업체명소재지연락처데이터기준일자
8081(주)세스코 서비스인천북부지역단인천광역시 서구 봉오재3로 100, 금강하이프라자 6층 602,603,604호 (가정동)032-581-51032023-09-30
8182(주)새한에이치엠인천광역시 서구 건지로 411, 범양아파트 지층 8호 (가좌동)032-426-93992023-09-30
8283한림토건(주)인천광역시 서구 중봉대로612번길 10-20, 청라프라자 302호 일부호 (청라동)032-568-00622023-09-30
8384강원방역인천광역시 서구 서곶로 11 (가정동, 길운씨티빌)<NA>2023-09-30
8485(주)한뜻에스티에스인천광역시 서구 거북로24번길 3, 2동 2층 (석남동)070-7574-05042023-09-30
8586세종인천광역시 서구 가남로 261 (석남동)032-576-41392023-09-30
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