Overview

Dataset statistics

Number of variables5
Number of observations137
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description경상남도 남해군에 등록된 이미용업소현황입니다. 이미용업소의 업종명, 업소명, 업소소재지(도로명주소), 전화번호를 포함한 정보입니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15065510

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:18:38.393761
Analysis finished2023-12-10 23:18:38.920667
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T08:18:39.268184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.8
Q135
median69
Q3103
95-th percentile130.2
Maximum137
Range136
Interquartile range (IQR)68

Descriptive statistics

Standard deviation39.692569
Coefficient of variation (CV)0.57525462
Kurtosis-1.2
Mean69
Median Absolute Deviation (MAD)34
Skewness0
Sum9453
Variance1575.5
MonotonicityStrictly increasing
2023-12-11T08:18:39.424737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
104 1
 
0.7%
Other values (127) 127
92.7%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%

업종명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
미용업
55 
일반미용업
28 
이용업
24 
피부미용업
13 
네일미용업
 
5
Other values (6)
12 

Length

Max length23
Median length3
Mean length4.4525547
Min length3

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
미용업 55
40.1%
일반미용업 28
20.4%
이용업 24
17.5%
피부미용업 13
 
9.5%
네일미용업 5
 
3.6%
종합미용업 4
 
2.9%
일반미용업, 피부미용업 2
 
1.5%
네일미용업, 화장ㆍ분장 미용업 2
 
1.5%
일반미용업, 네일미용업, 화장ㆍ분장 미용업 2
 
1.5%
일반미용업, 네일미용업 1
 
0.7%

Length

2023-12-11T08:18:39.597975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 60
39.7%
일반미용업 33
21.9%
이용업 24
 
15.9%
피부미용업 15
 
9.9%
네일미용업 10
 
6.6%
화장ㆍ분장 5
 
3.3%
종합미용업 4
 
2.6%

업소명
Text

Distinct132
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T08:18:39.909153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length5.620438
Min length2

Characters and Unicode

Total characters770
Distinct characters207
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)92.7%

Sample

1st row금음이용원
2nd row신흥이용원
3rd row고등이용원
4th row대성이용원
5th row신광이용원
ValueCountFrequency (%)
헤어 3
 
1.8%
수 2
 
1.2%
헤어샵 2
 
1.2%
salon 2
 
1.2%
hair 2
 
1.2%
헤어살롱 2
 
1.2%
행복미용실 2
 
1.2%
서울미용실 2
 
1.2%
영미용실 2
 
1.2%
신흥이용원 2
 
1.2%
Other values (144) 144
87.3%
2023-12-11T08:18:40.389986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 60
 
7.8%
미 46
 
6.0%
실 39
 
5.1%
어 37
 
4.8%
헤 36
 
4.7%
이 33
 
4.3%
28
 
3.6%
원 25
 
3.2%
스 14
 
1.8%
리 10
 
1.3%
Other values (197) 442
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
84.8%
Uppercase Letter 45
 
5.8%
Lowercase Letter 29
 
3.8%
Space Separator 28
 
3.6%
Close Punctuation 7
 
0.9%
Open Punctuation 7
 
0.9%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 60
 
9.2%
미 46
 
7.0%
실 39
 
6.0%
어 37
 
5.7%
헤 36
 
5.5%
이 33
 
5.1%
원 25
 
3.8%
스 14
 
2.1%
리 10
 
1.5%
일 9
 
1.4%
Other values (166) 344
52.7%
Uppercase Letter
ValueCountFrequency (%)
A 8
17.8%
O 6
13.3%
N 5
11.1%
H 5
11.1%
I 4
8.9%
L 3
 
6.7%
M 3
 
6.7%
S 3
 
6.7%
R 2
 
4.4%
B 2
 
4.4%
Other values (4) 4
8.9%
Lowercase Letter
ValueCountFrequency (%)
l 5
17.2%
i 5
17.2%
e 4
13.8%
a 3
10.3%
h 2
 
6.9%
r 2
 
6.9%
n 2
 
6.9%
t 1
 
3.4%
g 1
 
3.4%
u 1
 
3.4%
Other values (3) 3
10.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
84.7%
Latin 74
 
9.6%
Common 43
 
5.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 60
 
9.2%
미 46
 
7.1%
실 39
 
6.0%
어 37
 
5.7%
헤 36
 
5.5%
이 33
 
5.1%
원 25
 
3.8%
스 14
 
2.1%
리 10
 
1.5%
일 9
 
1.4%
Other values (165) 343
52.6%
Latin
ValueCountFrequency (%)
A 8
 
10.8%
O 6
 
8.1%
N 5
 
6.8%
l 5
 
6.8%
H 5
 
6.8%
i 5
 
6.8%
I 4
 
5.4%
e 4
 
5.4%
L 3
 
4.1%
a 3
 
4.1%
Other values (17) 26
35.1%
Common
ValueCountFrequency (%)
28
65.1%
) 7
 
16.3%
( 7
 
16.3%
7 1
 
2.3%
Han
ValueCountFrequency (%)
作 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
84.7%
ASCII 117
 
15.2%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 60
 
9.2%
미 46
 
7.1%
실 39
 
6.0%
어 37
 
5.7%
헤 36
 
5.5%
이 33
 
5.1%
원 25
 
3.8%
스 14
 
2.1%
리 10
 
1.5%
일 9
 
1.4%
Other values (165) 343
52.6%
ASCII
ValueCountFrequency (%)
28
23.9%
A 8
 
6.8%
) 7
 
6.0%
( 7
 
6.0%
O 6
 
5.1%
N 5
 
4.3%
l 5
 
4.3%
H 5
 
4.3%
i 5
 
4.3%
I 4
 
3.4%
Other values (21) 37
31.6%
CJK
ValueCountFrequency (%)
作 1
100.0%

영업소 주소(도로명)
Text

Distinct130
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T08:18:40.794331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length24.116788
Min length18

Characters and Unicode

Total characters3304
Distinct characters83
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

Unique123 ?
Unique (%)89.8%

Sample

1st row경상남도 남해군 설천면 설천로 702
2nd row경상남도 남해군 고현면 탑동로 65-20
3rd row경상남도 남해군 남면 남서대로 777
4th row경상남도 남해군 남해읍 화전로 94
5th row경상남도 남해군 고현면 탑동로 61-1
ValueCountFrequency (%)
경상남도 137
18.4%
남해군 137
18.4%
남해읍 89
 
11.9%
화전로 32
 
4.3%
2층 18
 
2.4%
1층 13
 
1.7%
창선면 12
 
1.6%
창선로 9
 
1.2%
미조면 8
 
1.1%
화전로78번가길 7
 
0.9%
Other values (161) 283
38.0%
2023-12-11T08:18:41.316282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
608
18.4%
남 382
 
11.6%
해 235
 
7.1%
상 145
 
4.4%
경 137
 
4.1%
도 137
 
4.1%
군 137
 
4.1%
로 137
 
4.1%
1 131
 
4.0%
읍 89
 
2.7%
Other values (73) 1166
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2040
61.7%
Space Separator 608
 
18.4%
Decimal Number 541
 
16.4%
Dash Punctuation 41
 
1.2%
Other Punctuation 30
 
0.9%
Open Punctuation 22
 
0.7%
Close Punctuation 22
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 382
18.7%
해 235
11.5%
상 145
 
7.1%
경 137
 
6.7%
도 137
 
6.7%
군 137
 
6.7%
로 137
 
6.7%
읍 89
 
4.4%
화 71
 
3.5%
전 68
 
3.3%
Other values (58) 502
24.6%
Decimal Number
ValueCountFrequency (%)
1 131
24.2%
2 84
15.5%
6 57
10.5%
9 44
 
8.1%
7 43
 
7.9%
3 40
 
7.4%
5 39
 
7.2%
4 39
 
7.2%
8 34
 
6.3%
0 30
 
5.5%
Space Separator
ValueCountFrequency (%)
608
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2040
61.7%
Common 1264
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 382
18.7%
해 235
11.5%
상 145
 
7.1%
경 137
 
6.7%
도 137
 
6.7%
군 137
 
6.7%
로 137
 
6.7%
읍 89
 
4.4%
화 71
 
3.5%
전 68
 
3.3%
Other values (58) 502
24.6%
Common
ValueCountFrequency (%)
608
48.1%
1 131
 
10.4%
2 84
 
6.6%
6 57
 
4.5%
9 44
 
3.5%
7 43
 
3.4%
- 41
 
3.2%
3 40
 
3.2%
5 39
 
3.1%
4 39
 
3.1%
Other values (5) 138
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2040
61.7%
ASCII 1264
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
608
48.1%
1 131
 
10.4%
2 84
 
6.6%
6 57
 
4.5%
9 44
 
3.5%
7 43
 
3.4%
- 41
 
3.2%
3 40
 
3.2%
5 39
 
3.1%
4 39
 
3.1%
Other values (5) 138
 
10.9%
Hangul
ValueCountFrequency (%)
남 382
18.7%
해 235
11.5%
상 145
 
7.1%
경 137
 
6.7%
도 137
 
6.7%
군 137
 
6.7%
로 137
 
6.7%
읍 89
 
4.4%
화 71
 
3.5%
전 68
 
3.3%
Other values (58) 502
24.6%

소재지전화
Text

Distinct92
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T08:18:41.620921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.810219
Min length12

Characters and Unicode

Total characters1755
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)66.4%

Sample

1st row 055-863-3123
2nd row 055-863-3740
3rd row 055-862-8448
4th row 055-864-6482
5th row 055-862-3305
ValueCountFrequency (%)
000-0000-0000 46
33.6%
055-864-6399 1
 
0.7%
055-863-3477 1
 
0.7%
055-867-0947 1
 
0.7%
055-864-1355 1
 
0.7%
055-864-5916 1
 
0.7%
055-864-8213 1
 
0.7%
055-867-3928 1
 
0.7%
055-864-2893 1
 
0.7%
055-864-4905 1
 
0.7%
Other values (82) 82
59.9%
2023-12-11T08:18:42.045422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 622
35.4%
- 274
15.6%
5 227
 
12.9%
6 128
 
7.3%
8 122
 
7.0%
4 68
 
3.9%
3 68
 
3.9%
65
 
3.7%
7 52
 
3.0%
2 49
 
2.8%
Other values (2) 80
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1416
80.7%
Dash Punctuation 274
 
15.6%
Space Separator 65
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 622
43.9%
5 227
 
16.0%
6 128
 
9.0%
8 122
 
8.6%
4 68
 
4.8%
3 68
 
4.8%
7 52
 
3.7%
2 49
 
3.5%
1 46
 
3.2%
9 34
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1755
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 622
35.4%
- 274
15.6%
5 227
 
12.9%
6 128
 
7.3%
8 122
 
7.0%
4 68
 
3.9%
3 68
 
3.9%
65
 
3.7%
7 52
 
3.0%
2 49
 
2.8%
Other values (2) 80
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1755
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 622
35.4%
- 274
15.6%
5 227
 
12.9%
6 128
 
7.3%
8 122
 
7.0%
4 68
 
3.9%
3 68
 
3.9%
65
 
3.7%
7 52
 
3.0%
2 49
 
2.8%
Other values (2) 80
 
4.6%

Interactions

2023-12-11T08:18:38.657106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:18:42.148524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명소재지전화
연번1.0000.8490.776
업종명0.8491.0000.000
소재지전화0.7760.0001.000
2023-12-11T08:18:42.228930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.575
업종명0.5751.000

Missing values

2023-12-11T08:18:38.764669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:18:38.883060image/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

연번업종명업소명영업소 주소(도로명)소재지전화
01이용업금음이용원경상남도 남해군 설천면 설천로 702055-863-3123
12이용업신흥이용원경상남도 남해군 고현면 탑동로 65-20055-863-3740
23이용업고등이용원경상남도 남해군 남면 남서대로 777055-862-8448
34이용업대성이용원경상남도 남해군 남해읍 화전로 94055-864-6482
45이용업신광이용원경상남도 남해군 고현면 탑동로 61-1055-862-3305
56이용업해성이용원경상남도 남해군 창선면 서부로 1063055-867-0969
67이용업남광이용원경상남도 남해군 남해읍 화전로 134055-864-5657
78이용업호성이발관경상남도 남해군 서면 남서대로 1660-1055-862-1541
89이용업금호이용원경상남도 남해군 남해읍 화전로96번길 16 (1층)055-862-0212
910이용업현대이용원경상남도 남해군 상주면 남해대로697번길 4055-863-3356
연번업종명업소명영업소 주소(도로명)소재지전화
127128네일미용업미채울공간경상남도 남해군 남해읍 화전로43번길 11-35000-0000-0000
128129네일미용업네일또와경상남도 남해군 남해읍 남해대로 2835, 남해공용터미널 112호000-0000-0000
129130일반미용업, 피부미용업주노(Juno)경상남도 남해군 남해읍 화전로59번길 5000-0000-0000
130131일반미용업, 피부미용업뷰티에머물다경상남도 남해군 남해읍 남해대로 2835, 남해공용터미널 1층000-0000-0000
131132일반미용업, 네일미용업네일스토리경상남도 남해군 남해읍 화전로 126, 2층000-0000-0000
132133화장ㆍ분장 미용업눈빛나다경상남도 남해군 남해읍 화전로78번나길 3, 1층000-0000-0000
133134네일미용업, 화장ㆍ분장 미용업제이속눈썹 네일경상남도 남해군 남해읍 화전로 75-1 (2층)000-0000-0000
134135네일미용업, 화장ㆍ분장 미용업르블랑경상남도 남해군 남해읍 화전로78번가길 16000-0000-0000
135136일반미용업, 네일미용업, 화장ㆍ분장 미용업수 헤어샵경상남도 남해군 상주면 남해대로697번길 5, 1층000-0000-0000
136137일반미용업, 네일미용업, 화장ㆍ분장 미용업수 헤어샵경상남도 남해군 상주면 남해대로697번길 5, 1층000-0000-0000