Overview

Dataset statistics

Number of variables5
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory43.4 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description대한민국 전라남도 광양시의 소독업소 현황에 대한 데이터 항목을 무료로 제공 하는 내용(업소명, 주소, 전화번호 등)
Author전라남도 광양시
URLhttps://www.data.go.kr/data/3079533/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:11:17.421205
Analysis finished2023-12-12 13:11:18.323299
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:11:18.467152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-12T22:11:18.642464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 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%
38 1
 
1.9%
Other values (44) 44
81.5%
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 (%)
54 1
1.9%
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%

소독업소명칭
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T22:11:18.918178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length7.5925926
Min length4

Characters and Unicode

Total characters410
Distinct characters143
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

Unique54 ?
Unique (%)100.0%

Sample

1st row그린메이트
2nd row(주)우리같이
3rd row(주)우리아이식판
4th row유한회사 와우
5th row그린특수(주)
ValueCountFrequency (%)
주식회사 4
 
5.6%
유한회사 4
 
5.6%
그린메이트 1
 
1.4%
우성(월드)그린 1
 
1.4%
한국위생 1
 
1.4%
119 1
 
1.4%
완전박멸 1
 
1.4%
세상 1
 
1.4%
주)깨끗한 1
 
1.4%
우주환경 1
 
1.4%
Other values (55) 55
77.5%
2023-12-12T22:11:19.362696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
7.6%
( 31
 
7.6%
) 31
 
7.6%
18
 
4.4%
사 10
 
2.4%
유 10
 
2.4%
업 8
 
2.0%
회 8
 
2.0%
광 7
 
1.7%
한 7
 
1.7%
Other values (133) 249
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
73.4%
Open Punctuation 31
 
7.6%
Close Punctuation 31
 
7.6%
Space Separator 18
 
4.4%
Uppercase Letter 11
 
2.7%
Lowercase Letter 9
 
2.2%
Decimal Number 8
 
2.0%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
10.3%
사 10
 
3.3%
유 10
 
3.3%
업 8
 
2.7%
회 8
 
2.7%
광 7
 
2.3%
한 7
 
2.3%
이 7
 
2.3%
린 7
 
2.3%
기 7
 
2.3%
Other values (108) 199
66.1%
Uppercase Letter
ValueCountFrequency (%)
R 2
18.2%
C 2
18.2%
T 1
9.1%
O 1
9.1%
P 1
9.1%
H 1
9.1%
J 1
9.1%
M 1
9.1%
F 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
22.2%
e 2
22.2%
r 1
11.1%
t 1
11.1%
s 1
11.1%
n 1
11.1%
l 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
5 2
25.0%
9 1
 
12.5%
6 1
 
12.5%
3 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
73.4%
Common 89
 
21.7%
Latin 20
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
10.3%
사 10
 
3.3%
유 10
 
3.3%
업 8
 
2.7%
회 8
 
2.7%
광 7
 
2.3%
한 7
 
2.3%
이 7
 
2.3%
린 7
 
2.3%
기 7
 
2.3%
Other values (108) 199
66.1%
Latin
ValueCountFrequency (%)
a 2
 
10.0%
e 2
 
10.0%
R 2
 
10.0%
C 2
 
10.0%
T 1
 
5.0%
O 1
 
5.0%
P 1
 
5.0%
H 1
 
5.0%
J 1
 
5.0%
r 1
 
5.0%
Other values (6) 6
30.0%
Common
ValueCountFrequency (%)
( 31
34.8%
) 31
34.8%
18
20.2%
1 3
 
3.4%
5 2
 
2.2%
- 1
 
1.1%
9 1
 
1.1%
6 1
 
1.1%
3 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
73.4%
ASCII 109
 
26.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
10.3%
사 10
 
3.3%
유 10
 
3.3%
업 8
 
2.7%
회 8
 
2.7%
광 7
 
2.3%
한 7
 
2.3%
이 7
 
2.3%
린 7
 
2.3%
기 7
 
2.3%
Other values (108) 199
66.1%
ASCII
ValueCountFrequency (%)
( 31
28.4%
) 31
28.4%
18
16.5%
1 3
 
2.8%
a 2
 
1.8%
e 2
 
1.8%
5 2
 
1.8%
R 2
 
1.8%
C 2
 
1.8%
T 1
 
0.9%
Other values (15) 15
13.8%

사무실소재지(도로명)
Text

Distinct51
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T22:11:19.669496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length22.777778
Min length15

Characters and Unicode

Total characters1230
Distinct characters100
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)88.9%

Sample

1st row전라남도 광양시 태인4길 2, 포스코플랜텍
2nd row전라남도 광양시 광양읍 회암길 21-8, 2층
3rd row전라남도 광양시 광양읍 용강로 11
4th row전라남도 광양시 영수길 27(광영동)
5th row전라남도 광양시 항만10로 23 (중동)
ValueCountFrequency (%)
전라남도 54
18.9%
광양시 54
18.9%
광양읍 23
 
8.0%
중동 13
 
4.5%
1층 10
 
3.5%
23 4
 
1.4%
예구길 3
 
1.0%
태인동 3
 
1.0%
진월면 3
 
1.0%
태인4길 2
 
0.7%
Other values (97) 117
40.9%
2023-12-12T22:11:20.105619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
19.0%
광 82
 
6.7%
양 77
 
6.3%
남 57
 
4.6%
도 55
 
4.5%
전 54
 
4.4%
시 54
 
4.4%
라 54
 
4.4%
1 45
 
3.7%
길 35
 
2.8%
Other values (90) 483
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
59.8%
Space Separator 234
 
19.0%
Decimal Number 174
 
14.1%
Open Punctuation 30
 
2.4%
Close Punctuation 29
 
2.4%
Other Punctuation 17
 
1.4%
Dash Punctuation 11
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 82
 
11.2%
양 77
 
10.5%
남 57
 
7.8%
도 55
 
7.5%
전 54
 
7.3%
시 54
 
7.3%
라 54
 
7.3%
길 35
 
4.8%
동 30
 
4.1%
읍 25
 
3.4%
Other values (75) 212
28.8%
Decimal Number
ValueCountFrequency (%)
1 45
25.9%
2 26
14.9%
3 22
12.6%
5 19
10.9%
6 16
 
9.2%
4 14
 
8.0%
7 10
 
5.7%
8 10
 
5.7%
0 8
 
4.6%
9 4
 
2.3%
Space Separator
ValueCountFrequency (%)
234
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
59.8%
Common 495
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 82
 
11.2%
양 77
 
10.5%
남 57
 
7.8%
도 55
 
7.5%
전 54
 
7.3%
시 54
 
7.3%
라 54
 
7.3%
길 35
 
4.8%
동 30
 
4.1%
읍 25
 
3.4%
Other values (75) 212
28.8%
Common
ValueCountFrequency (%)
234
47.3%
1 45
 
9.1%
( 30
 
6.1%
) 29
 
5.9%
2 26
 
5.3%
3 22
 
4.4%
5 19
 
3.8%
, 17
 
3.4%
6 16
 
3.2%
4 14
 
2.8%
Other values (5) 43
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
59.8%
ASCII 495
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
47.3%
1 45
 
9.1%
( 30
 
6.1%
) 29
 
5.9%
2 26
 
5.3%
3 22
 
4.4%
5 19
 
3.8%
, 17
 
3.4%
6 16
 
3.2%
4 14
 
2.8%
Other values (5) 43
 
8.7%
Hangul
ValueCountFrequency (%)
광 82
 
11.2%
양 77
 
10.5%
남 57
 
7.8%
도 55
 
7.5%
전 54
 
7.3%
시 54
 
7.3%
라 54
 
7.3%
길 35
 
4.8%
동 30
 
4.1%
읍 25
 
3.4%
Other values (75) 212
28.8%

영업소전화번호
Text

Distinct45
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T22:11:20.335509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018519
Min length12

Characters and Unicode

Total characters649
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

Unique44 ?
Unique (%)81.5%

Sample

1st row061-798-3501
2nd row061-000-0000
3rd row061-910-1278
4th row061-760-1733
5th row061-000-0000
ValueCountFrequency (%)
061-000-0000 10
 
18.5%
061-762-9777 1
 
1.9%
061-763-8088 1
 
1.9%
061-763-0990 1
 
1.9%
061-762-1788 1
 
1.9%
061-791-7474 1
 
1.9%
061-762-0131 1
 
1.9%
061-795-6000 1
 
1.9%
061-794-7227 1
 
1.9%
061-795-5656 1
 
1.9%
Other values (35) 35
64.8%
2023-12-12T22:11:20.693835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 148
22.8%
- 108
16.6%
6 89
13.7%
1 78
12.0%
7 65
10.0%
9 41
 
6.3%
3 31
 
4.8%
8 26
 
4.0%
5 22
 
3.4%
2 21
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 541
83.4%
Dash Punctuation 108
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
27.4%
6 89
16.5%
1 78
14.4%
7 65
12.0%
9 41
 
7.6%
3 31
 
5.7%
8 26
 
4.8%
5 22
 
4.1%
2 21
 
3.9%
4 20
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 148
22.8%
- 108
16.6%
6 89
13.7%
1 78
12.0%
7 65
10.0%
9 41
 
6.3%
3 31
 
4.8%
8 26
 
4.0%
5 22
 
3.4%
2 21
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 148
22.8%
- 108
16.6%
6 89
13.7%
1 78
12.0%
7 65
10.0%
9 41
 
6.3%
3 31
 
4.8%
8 26
 
4.0%
5 22
 
3.4%
2 21
 
3.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-03-06
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-06
2nd row2023-03-06
3rd row2023-03-06
4th row2023-03-06
5th row2023-03-06

Common Values

ValueCountFrequency (%)
2023-03-06 54
100.0%

Length

2023-12-12T22:11:20.853025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:11:20.936450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-06 54
100.0%

Interactions

2023-12-12T22:11:17.732187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:11:20.991886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소독업소명칭사무실소재지(도로명)영업소전화번호
연번1.0001.0000.9360.694
소독업소명칭1.0001.0001.0001.000
사무실소재지(도로명)0.9361.0001.0000.980
영업소전화번호0.6941.0000.9801.000

Missing values

2023-12-12T22:11:18.187313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:11:18.280304image/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

연번소독업소명칭사무실소재지(도로명)영업소전화번호데이터기준일자
01그린메이트전라남도 광양시 태인4길 2, 포스코플랜텍061-798-35012023-03-06
12(주)우리같이전라남도 광양시 광양읍 회암길 21-8, 2층061-000-00002023-03-06
23(주)우리아이식판전라남도 광양시 광양읍 용강로 11061-910-12782023-03-06
34유한회사 와우전라남도 광양시 영수길 27(광영동)061-760-17332023-03-06
45그린특수(주)전라남도 광양시 항만10로 23 (중동)061-000-00002023-03-06
56제이씨(JC)기업전라남도 광양시 광양읍 매천로 890, 1층061-763-99512023-03-06
67광덕개발(주)전라남도 광양시 광양읍 예구길 23061-763-89512023-03-06
78(주)주안기업전라남도 광양시 광양읍 인덕4길 6, 1층061-000-00002023-03-06
89명승메디칼전라남도 광양시 광양읍 대림2길 9070-8733-41812023-03-06
910마로클린협동조합전라남도 광양시 광양읍 목성1길 8, 1층061-000-00002023-03-06
연번소독업소명칭사무실소재지(도로명)영업소전화번호데이터기준일자
4445전남광양지역자활센터전라남도 광양시 발섬4길 17-23 (중동)061-762-98962023-03-06
4546국일종합관리(유)전라남도 광양시 중마청룡길 6 (중동)061-000-00002023-03-06
4647(주)오도전라남도 광양시 광양읍 백운로 364061-795-50002023-03-06
4748황금산업(주)전라남도 광양시 광양읍 유당로 58, 3층 (일부)061-761-66882023-03-06
4849장원환경(주)전라남도 광양시 광양읍 남문3길 27, 1층061-763-04682023-03-06
4950(유)백운전라남도 광양시 광양읍 읍내중앙길 80061-762-70412023-03-06
5051(주)신영전라남도 광양시 광양읍 칠성로 26061-762-96612023-03-06
5152(주)광양기업전라남도 광양시 삼봉산로 10 (태인동)061-798-40342023-03-06
5253(유)한국방역공사전라남도 광양시 진월면 백운1로 588061-772-05552023-03-06
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