Overview

Dataset statistics

Number of variables8
Number of observations61
Missing cells24
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory67.2 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description경상남도 의령군에 소재한 이미용업소의 업소명, 소재지의 도로명과 지번주소, 전화번호, 업태명, 업체구분 데이터를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034257

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 업태명 and 1 other fieldsHigh correlation
업태명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
업체구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
업소소재지(지번) has 6 (9.8%) missing valuesMissing
소재지전화 has 18 (29.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:38:39.540775
Analysis finished2023-12-11 00:38:40.871368
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T09:38:40.947136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-11T09:38:41.143146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

업소명
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:38:41.392398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length5.3770492
Min length2

Characters and Unicode

Total characters328
Distinct characters136
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row동창이용원
2nd row대성이용원
3rd row대의이용원
4th row신신이용원
5th row서암이용원
ValueCountFrequency (%)
마산미용실 2
 
3.0%
피부관리실 2
 
3.0%
네일 2
 
3.0%
차밍화장품 1
 
1.5%
미 1
 
1.5%
여심미용실 1
 
1.5%
조희미용실 1
 
1.5%
세븐헤어샵 1
 
1.5%
제이엠헤어 1
 
1.5%
이윤헤어 1
 
1.5%
Other values (54) 54
80.6%
2023-12-11T09:38:41.822234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 24
 
7.3%
미 19
 
5.8%
헤 17
 
5.2%
어 16
 
4.9%
이 15
 
4.6%
실 15
 
4.6%
원 13
 
4.0%
스 8
 
2.4%
리 7
 
2.1%
6
 
1.8%
Other values (126) 188
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
93.9%
Uppercase Letter 11
 
3.4%
Space Separator 6
 
1.8%
Other Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 24
 
7.8%
미 19
 
6.2%
헤 17
 
5.5%
어 16
 
5.2%
이 15
 
4.9%
실 15
 
4.9%
원 13
 
4.2%
스 8
 
2.6%
리 7
 
2.3%
네 5
 
1.6%
Other values (113) 169
54.9%
Uppercase Letter
ValueCountFrequency (%)
N 2
18.2%
E 2
18.2%
G 1
9.1%
I 1
9.1%
H 1
9.1%
T 1
9.1%
Y 1
9.1%
R 1
9.1%
V 1
9.1%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
93.9%
Latin 11
 
3.4%
Common 9
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 24
 
7.8%
미 19
 
6.2%
헤 17
 
5.5%
어 16
 
5.2%
이 15
 
4.9%
실 15
 
4.9%
원 13
 
4.2%
스 8
 
2.6%
리 7
 
2.3%
네 5
 
1.6%
Other values (113) 169
54.9%
Latin
ValueCountFrequency (%)
N 2
18.2%
E 2
18.2%
G 1
9.1%
I 1
9.1%
H 1
9.1%
T 1
9.1%
Y 1
9.1%
R 1
9.1%
V 1
9.1%
Common
ValueCountFrequency (%)
6
66.7%
# 1
 
11.1%
) 1
 
11.1%
( 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
93.9%
ASCII 20
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 24
 
7.8%
미 19
 
6.2%
헤 17
 
5.5%
어 16
 
5.2%
이 15
 
4.9%
실 15
 
4.9%
원 13
 
4.2%
스 8
 
2.6%
리 7
 
2.3%
네 5
 
1.6%
Other values (113) 169
54.9%
ASCII
ValueCountFrequency (%)
6
30.0%
N 2
 
10.0%
E 2
 
10.0%
# 1
 
5.0%
) 1
 
5.0%
G 1
 
5.0%
I 1
 
5.0%
H 1
 
5.0%
T 1
 
5.0%
Y 1
 
5.0%
Other values (3) 3
15.0%

업소소재지(도로명)
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T09:38:42.139905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length23.606557
Min length18

Characters and Unicode

Total characters1440
Distinct characters83
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

Unique59 ?
Unique (%)96.7%

Sample

1st row경상남도 의령군 의령읍 백산로1길 6
2nd row경상남도 의령군 의령읍 의병로21길 25-8
3rd row경상남도 의령군 대의면 대의로 57
4th row경상남도 의령군 부림면 대한로 1774
5th row경상남도 의령군 봉수면 청계로 2
ValueCountFrequency (%)
경상남도 61
18.9%
의령군 61
18.9%
의령읍 44
13.6%
부림면 11
 
3.4%
의병로 11
 
3.4%
충익로 6
 
1.9%
신번로 5
 
1.5%
의병로14길 5
 
1.5%
의병로22길 5
 
1.5%
대한로 5
 
1.5%
Other values (92) 109
33.7%
2023-12-11T09:38:42.678476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
18.2%
의 146
 
10.1%
령 106
 
7.4%
상 64
 
4.4%
1 63
 
4.4%
경 61
 
4.2%
남 61
 
4.2%
도 61
 
4.2%
군 61
 
4.2%
로 61
 
4.2%
Other values (73) 494
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 889
61.7%
Space Separator 262
 
18.2%
Decimal Number 234
 
16.2%
Dash Punctuation 26
 
1.8%
Uppercase Letter 12
 
0.8%
Other Punctuation 9
 
0.6%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 146
16.4%
령 106
11.9%
상 64
 
7.2%
경 61
 
6.9%
남 61
 
6.9%
도 61
 
6.9%
군 61
 
6.9%
로 61
 
6.9%
읍 44
 
4.9%
병 37
 
4.2%
Other values (54) 187
21.0%
Decimal Number
ValueCountFrequency (%)
1 63
26.9%
2 43
18.4%
7 26
11.1%
4 21
 
9.0%
3 20
 
8.5%
9 16
 
6.8%
5 15
 
6.4%
6 13
 
5.6%
0 12
 
5.1%
8 5
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
E 3
25.0%
W 3
25.0%
V 3
25.0%
I 3
25.0%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 889
61.7%
Common 539
37.4%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 146
16.4%
령 106
11.9%
상 64
 
7.2%
경 61
 
6.9%
남 61
 
6.9%
도 61
 
6.9%
군 61
 
6.9%
로 61
 
6.9%
읍 44
 
4.9%
병 37
 
4.2%
Other values (54) 187
21.0%
Common
ValueCountFrequency (%)
262
48.6%
1 63
 
11.7%
2 43
 
8.0%
7 26
 
4.8%
- 26
 
4.8%
4 21
 
3.9%
3 20
 
3.7%
9 16
 
3.0%
5 15
 
2.8%
6 13
 
2.4%
Other values (5) 34
 
6.3%
Latin
ValueCountFrequency (%)
E 3
25.0%
W 3
25.0%
V 3
25.0%
I 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 889
61.7%
ASCII 551
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
47.5%
1 63
 
11.4%
2 43
 
7.8%
7 26
 
4.7%
- 26
 
4.7%
4 21
 
3.8%
3 20
 
3.6%
9 16
 
2.9%
5 15
 
2.7%
6 13
 
2.4%
Other values (9) 46
 
8.3%
Hangul
ValueCountFrequency (%)
의 146
16.4%
령 106
11.9%
상 64
 
7.2%
경 61
 
6.9%
남 61
 
6.9%
도 61
 
6.9%
군 61
 
6.9%
로 61
 
6.9%
읍 44
 
4.9%
병 37
 
4.2%
Other values (54) 187
21.0%

업소소재지(지번)
Text

MISSING 

Distinct54
Distinct (%)98.2%
Missing6
Missing (%)9.8%
Memory size620.0 B
2023-12-11T09:38:42.966330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length24.527273
Min length17

Characters and Unicode

Total characters1349
Distinct characters75
Distinct categories5 ?
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 (%)96.4%

Sample

1st row경상남도 의령군 의령읍 동동리 1030-2
2nd row경상남도 의령군 의령읍 중동리 411-14
3rd row경상남도 의령군 대의면 마쌍리 441-3
4th row경상남도 의령군 봉수면 서암리 451
5th row경상남도 의령군 의령읍 동동리 1481-2
ValueCountFrequency (%)
경상남도 55
19.1%
의령군 55
19.1%
의령읍 41
14.2%
중동리 20
 
6.9%
서동리 17
 
5.9%
부림면 8
 
2.8%
신반리 8
 
2.8%
진승view주상복합아파트 3
 
1.0%
395 3
 
1.0%
동동리 3
 
1.0%
Other values (75) 75
26.0%
2023-12-11T09:38:43.373057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
21.1%
의 97
 
7.2%
령 96
 
7.1%
상 58
 
4.3%
경 55
 
4.1%
남 55
 
4.1%
도 55
 
4.1%
군 55
 
4.1%
리 54
 
4.0%
동 47
 
3.5%
Other values (65) 493
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
56.9%
Space Separator 284
 
21.1%
Decimal Number 240
 
17.8%
Dash Punctuation 46
 
3.4%
Uppercase Letter 12
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 97
12.6%
령 96
12.5%
상 58
 
7.6%
경 55
 
7.2%
남 55
 
7.2%
도 55
 
7.2%
군 55
 
7.2%
리 54
 
7.0%
동 47
 
6.1%
읍 41
 
5.3%
Other values (49) 154
20.1%
Decimal Number
ValueCountFrequency (%)
1 34
14.2%
4 33
13.8%
3 31
12.9%
8 29
12.1%
5 23
9.6%
9 23
9.6%
6 21
8.8%
0 20
8.3%
2 17
7.1%
7 9
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
W 3
25.0%
E 3
25.0%
I 3
25.0%
V 3
25.0%
Space Separator
ValueCountFrequency (%)
284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 767
56.9%
Common 570
42.3%
Latin 12
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 97
12.6%
령 96
12.5%
상 58
 
7.6%
경 55
 
7.2%
남 55
 
7.2%
도 55
 
7.2%
군 55
 
7.2%
리 54
 
7.0%
동 47
 
6.1%
읍 41
 
5.3%
Other values (49) 154
20.1%
Common
ValueCountFrequency (%)
284
49.8%
- 46
 
8.1%
1 34
 
6.0%
4 33
 
5.8%
3 31
 
5.4%
8 29
 
5.1%
5 23
 
4.0%
9 23
 
4.0%
6 21
 
3.7%
0 20
 
3.5%
Other values (2) 26
 
4.6%
Latin
ValueCountFrequency (%)
W 3
25.0%
E 3
25.0%
I 3
25.0%
V 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
56.9%
ASCII 582
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
48.8%
- 46
 
7.9%
1 34
 
5.8%
4 33
 
5.7%
3 31
 
5.3%
8 29
 
5.0%
5 23
 
4.0%
9 23
 
4.0%
6 21
 
3.6%
0 20
 
3.4%
Other values (6) 38
 
6.5%
Hangul
ValueCountFrequency (%)
의 97
12.6%
령 96
12.5%
상 58
 
7.6%
경 55
 
7.2%
남 55
 
7.2%
도 55
 
7.2%
군 55
 
7.2%
리 54
 
7.0%
동 47
 
6.1%
읍 41
 
5.3%
Other values (49) 154
20.1%

소재지전화
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing18
Missing (%)29.5%
Memory size620.0 B
2023-12-11T09:38:43.584379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique43 ?
Unique (%)100.0%

Sample

1st row055-573-3265
2nd row055-573-3657
3rd row055-572-9042
4th row055-574-1912
5th row055-572-3330
ValueCountFrequency (%)
055-573-3265 1
 
2.3%
055-574-8482 1
 
2.3%
055-573-6177 1
 
2.3%
055-573-3222 1
 
2.3%
055-574-2110 1
 
2.3%
055-573-1909 1
 
2.3%
055-574-2244 1
 
2.3%
055-572-6258 1
 
2.3%
055-574-6395 1
 
2.3%
055-573-2772 1
 
2.3%
Other values (33) 33
76.7%
2023-12-11T09:38:43.940059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 151
29.3%
- 86
16.7%
7 63
12.2%
0 58
 
11.2%
2 39
 
7.6%
3 36
 
7.0%
4 23
 
4.5%
1 17
 
3.3%
9 15
 
2.9%
6 14
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 151
35.1%
7 63
14.7%
0 58
 
13.5%
2 39
 
9.1%
3 36
 
8.4%
4 23
 
5.3%
1 17
 
4.0%
9 15
 
3.5%
6 14
 
3.3%
8 14
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 151
29.3%
- 86
16.7%
7 63
12.2%
0 58
 
11.2%
2 39
 
7.6%
3 36
 
7.0%
4 23
 
4.5%
1 17
 
3.3%
9 15
 
2.9%
6 14
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 151
29.3%
- 86
16.7%
7 63
12.2%
0 58
 
11.2%
2 39
 
7.6%
3 36
 
7.0%
4 23
 
4.5%
1 17
 
3.3%
9 15
 
2.9%
6 14
 
2.7%

업태명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
일반미용업
34 
일반이용업
13 
네일아트업
7 
피부미용업
6 
기타
 
1

Length

Max length5
Median length5
Mean length4.9508197
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 34
55.7%
일반이용업 13
 
21.3%
네일아트업 7
 
11.5%
피부미용업 6
 
9.8%
기타 1
 
1.6%

Length

2023-12-11T09:38:44.088087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:44.217711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반미용업 34
55.7%
일반이용업 13
 
21.3%
네일아트업 7
 
11.5%
피부미용업 6
 
9.8%
기타 1
 
1.6%

업체구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
미용업
23 
이용업
13 
일반미용업
9 
피부미용업
6 
네일미용업
5 
Other values (3)
5 

Length

Max length16
Median length3
Mean length4.1147541
Min length3

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
미용업 23
37.7%
이용업 13
21.3%
일반미용업 9
 
14.8%
피부미용업 6
 
9.8%
네일미용업 5
 
8.2%
종합미용업 3
 
4.9%
피부미용업, 네일미용업 1
 
1.6%
네일미용업, 화장ㆍ분장 미용업 1
 
1.6%

Length

2023-12-11T09:38:44.338915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:44.464379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미용업 24
37.5%
이용업 13
20.3%
일반미용업 9
 
14.1%
피부미용업 7
 
10.9%
네일미용업 7
 
10.9%
종합미용업 3
 
4.7%
화장ㆍ분장 1
 
1.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
2021-09-16
61 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-16
2nd row2021-09-16
3rd row2021-09-16
4th row2021-09-16
5th row2021-09-16

Common Values

ValueCountFrequency (%)
2021-09-16 61
100.0%

Length

2023-12-11T09:38:44.640435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:44.747105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-16 61
100.0%

Interactions

2023-12-11T09:38:40.432152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:38:44.822001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업소소재지(도로명)업소소재지(지번)소재지전화업태명업체구분
연번1.0000.9450.9450.9451.0000.9640.864
업소명0.9451.0000.9980.9971.0001.0001.000
업소소재지(도로명)0.9450.9981.0001.0001.0000.9590.982
업소소재지(지번)0.9450.9971.0001.0001.0000.8360.956
소재지전화1.0001.0001.0001.0001.0001.0001.000
업태명0.9641.0000.9590.8361.0001.0000.935
업체구분0.8641.0000.9820.9561.0000.9351.000
2023-12-11T09:38:44.933442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업체구분
업태명1.0000.873
업체구분0.8731.000
2023-12-11T09:38:45.012030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명업체구분
연번1.0000.7180.652
업태명0.7181.0000.873
업체구분0.6520.8731.000

Missing values

2023-12-11T09:38:40.579725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:38:40.706095image/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.
2023-12-11T09:38:40.813778image/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

연번업소명업소소재지(도로명)업소소재지(지번)소재지전화업태명업체구분데이터기준일
01동창이용원경상남도 의령군 의령읍 백산로1길 6경상남도 의령군 의령읍 동동리 1030-2055-573-3265일반이용업이용업2021-09-16
12대성이용원경상남도 의령군 의령읍 의병로21길 25-8경상남도 의령군 의령읍 중동리 411-14055-573-3657일반이용업이용업2021-09-16
23대의이용원경상남도 의령군 대의면 대의로 57경상남도 의령군 대의면 마쌍리 441-3055-572-9042일반이용업이용업2021-09-16
34신신이용원경상남도 의령군 부림면 대한로 1774<NA>055-574-1912일반이용업이용업2021-09-16
45서암이용원경상남도 의령군 봉수면 청계로 2경상남도 의령군 봉수면 서암리 451055-572-3330일반이용업이용업2021-09-16
56태양이용원경상남도 의령군 의령읍 의병로23길 6-10경상남도 의령군 의령읍 동동리 1481-2055-573-2155일반이용업이용업2021-09-16
67정곡이용원경상남도 의령군 낙서면 낙동강로3길 4경상남도 의령군 낙서면 정곡리 1160-4055-572-7050일반이용업이용업2021-09-16
78신라이용원경상남도 의령군 의령읍 의병로 203경상남도 의령군 의령읍 서동리 480-14055-573-3589일반이용업이용업2021-09-16
89행복이용원경상남도 의령군 의령읍 의병로 195-1경상남도 의령군 의령읍 서동리 303-1055-574-7695일반이용업이용업2021-09-16
910혜성이용원경상남도 의령군 의령읍 의병로24길 16경상남도 의령군 의령읍 중동리 400-8<NA>일반이용업이용업2021-09-16
연번업소명업소소재지(도로명)업소소재지(지번)소재지전화업태명업체구분데이터기준일
5152허인순헤어리드경상남도 의령군 부림면 대한로 1747경상남도 의령군 부림면 신반리 168-34055-574-0505일반미용업종합미용업2021-09-16
5253샤인경상남도 의령군 의령읍 의병로 237경상남도 의령군 의령읍 237<NA>기타종합미용업2021-09-16
5354미담헤어경상남도 의령군 의령읍 의병로 204, 2층경상남도 의령군 의령읍 서동리 480-6<NA>일반미용업종합미용업2021-09-16
5455네일스캔들경상남도 의령군 의령읍 의병로22길 13-9경상남도 의령군 의령읍 중동리 400-12<NA>네일아트업네일미용업2021-09-16
5556다정한 네일경상남도 의령군 의령읍 충익로 47-16<NA>055-573-1577네일아트업네일미용업2021-09-16
5657봉숭아경상남도 의령군 의령읍 의병로14길 16-15, 꿈에그린빌 1층경상남도 의령군 의령읍 서동리 598-4 꿈에그린빌<NA>네일아트업네일미용업2021-09-16
5758네일의모든것(NEVERYTHING)경상남도 의령군 의령읍 의병로9길 25-6 (의령서동 주공아파트)경상남도 의령군 의령읍 서동리 238<NA>네일아트업네일미용업2021-09-16
5859네일#경상남도 의령군 의령읍 의병로9동길 5경상남도 의령군 의령읍 서동리 329-2<NA>네일아트업네일미용업2021-09-16
5960수지탑스킨경상남도 의령군 부림면 대한로 1741경상남도 의령군 부림면 신반리 168-2<NA>네일아트업피부미용업, 네일미용업2021-09-16
6061손톱공쥬경상남도 의령군 의령읍 의병로14길 16-13경상남도 의령군 의령읍 서동리 598-5<NA>네일아트업네일미용업, 화장ㆍ분장 미용업2021-09-16