Overview

Dataset statistics

Number of variables5
Number of observations135
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description경상남도 남해군에 현재 등록된 숙박업소현황입니다. 숙박업소의 업종명, 업소명, 업소소재지(도로명주소), 전화번호를 포함한 정보입니다.
Author경상남도 남해군
URLhttps://www.data.go.kr/data/15065507/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 22:40:16.860938
Analysis finished2023-12-12 22:40:17.353890
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68
Minimum1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T07:40:17.411055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.7
Q134.5
median68
Q3101.5
95-th percentile128.3
Maximum135
Range134
Interquartile range (IQR)67

Descriptive statistics

Standard deviation39.115214
Coefficient of variation (CV)0.57522374
Kurtosis-1.2
Mean68
Median Absolute Deviation (MAD)34
Skewness0
Sum9180
Variance1530
MonotonicityStrictly increasing
2023-12-13T07:40:17.756502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
94 1
 
0.7%
88 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
95 1
 
0.7%
2 1
 
0.7%
Other values (125) 125
92.6%
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 (%)
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%
127 1
0.7%
126 1
0.7%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
숙박업(생활)
74 
숙박업(일반)
61 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
숙박업(생활) 74
54.8%
숙박업(일반) 61
45.2%

Length

2023-12-13T07:40:17.857737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:17.940319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(생활 74
54.8%
숙박업(일반 61
45.2%

업소명
Text

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T07:40:18.207766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length6.6
Min length2

Characters and Unicode

Total characters891
Distinct characters232
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)100.0%

Sample

1st row재두장여관
2nd row해주여관
3rd row한려산장
4th rowK모텔
5th row영남장여관
ValueCountFrequency (%)
펜션 5
 
2.7%
남해 4
 
2.2%
시그니처 2
 
1.1%
9 2
 
1.1%
리조트 2
 
1.1%
토모노야 2
 
1.1%
모텔 2
 
1.1%
호텔 2
 
1.1%
eg미조힐링리조트 2
 
1.1%
벨비앙펜션 2
 
1.1%
Other values (156) 158
86.3%
2023-12-13T07:40:18.656525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
5.4%
44
 
4.9%
40
 
4.5%
39
 
4.4%
39
 
4.4%
28
 
3.1%
27
 
3.0%
24
 
2.7%
19
 
2.1%
16
 
1.8%
Other values (222) 567
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
87.1%
Space Separator 48
 
5.4%
Uppercase Letter 25
 
2.8%
Lowercase Letter 17
 
1.9%
Decimal Number 9
 
1.0%
Open Punctuation 6
 
0.7%
Close Punctuation 6
 
0.7%
Dash Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
5.7%
40
 
5.2%
39
 
5.0%
39
 
5.0%
28
 
3.6%
27
 
3.5%
24
 
3.1%
19
 
2.4%
16
 
2.1%
15
 
1.9%
Other values (188) 485
62.5%
Uppercase Letter
ValueCountFrequency (%)
E 4
16.0%
A 4
16.0%
B 2
8.0%
I 2
8.0%
G 2
8.0%
S 2
8.0%
C 2
8.0%
J 2
8.0%
L 1
 
4.0%
D 1
 
4.0%
Other values (3) 3
12.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
17.6%
n 2
11.8%
e 2
11.8%
a 2
11.8%
t 2
11.8%
r 1
 
5.9%
i 1
 
5.9%
w 1
 
5.9%
y 1
 
5.9%
p 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
9 3
33.3%
2 3
33.3%
1 2
22.2%
5 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 776
87.1%
Common 73
 
8.2%
Latin 42
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
5.7%
40
 
5.2%
39
 
5.0%
39
 
5.0%
28
 
3.6%
27
 
3.5%
24
 
3.1%
19
 
2.4%
16
 
2.1%
15
 
1.9%
Other values (188) 485
62.5%
Latin
ValueCountFrequency (%)
E 4
 
9.5%
A 4
 
9.5%
o 3
 
7.1%
B 2
 
4.8%
I 2
 
4.8%
G 2
 
4.8%
S 2
 
4.8%
n 2
 
4.8%
e 2
 
4.8%
a 2
 
4.8%
Other values (14) 17
40.5%
Common
ValueCountFrequency (%)
48
65.8%
( 6
 
8.2%
) 6
 
8.2%
9 3
 
4.1%
2 3
 
4.1%
1 2
 
2.7%
- 2
 
2.7%
5 1
 
1.4%
· 1
 
1.4%
. 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
87.1%
ASCII 114
 
12.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
42.1%
( 6
 
5.3%
) 6
 
5.3%
E 4
 
3.5%
A 4
 
3.5%
o 3
 
2.6%
9 3
 
2.6%
2 3
 
2.6%
B 2
 
1.8%
I 2
 
1.8%
Other values (23) 33
28.9%
Hangul
ValueCountFrequency (%)
44
 
5.7%
40
 
5.2%
39
 
5.0%
39
 
5.0%
28
 
3.6%
27
 
3.5%
24
 
3.1%
19
 
2.4%
16
 
2.1%
15
 
1.9%
Other values (188) 485
62.5%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct131
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T07:40:19.003639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length24.82963
Min length18

Characters and Unicode

Total characters3352
Distinct characters89
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)94.1%

Sample

1st row경상남도 남해군 상주면 남해대로 918-6
2nd row경상남도 남해군 상주면 상주로 17-6
3rd row경상남도 남해군 상주면 남해대로 591-56
4th row경상남도 남해군 남해읍 화전로 52-9
5th row경상남도 남해군 남해읍 화전로38번길 28
ValueCountFrequency (%)
경상남도 135
19.3%
남해군 135
19.3%
미조면 27
 
3.9%
삼동면 22
 
3.1%
창선면 21
 
3.0%
남해읍 16
 
2.3%
남면 15
 
2.1%
동부대로 13
 
1.9%
상주면 13
 
1.9%
남해대로 12
 
1.7%
Other values (190) 292
41.7%
2023-12-13T07:40:19.468164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
16.9%
342
 
10.2%
171
 
5.1%
152
 
4.5%
1 139
 
4.1%
135
 
4.0%
135
 
4.0%
135
 
4.0%
132
 
3.9%
129
 
3.8%
Other values (79) 1316
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1957
58.4%
Decimal Number 689
 
20.6%
Space Separator 566
 
16.9%
Dash Punctuation 74
 
2.2%
Other Punctuation 34
 
1.0%
Close Punctuation 15
 
0.4%
Open Punctuation 15
 
0.4%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
342
17.5%
171
 
8.7%
152
 
7.8%
135
 
6.9%
135
 
6.9%
135
 
6.9%
132
 
6.7%
129
 
6.6%
80
 
4.1%
54
 
2.8%
Other values (63) 492
25.1%
Decimal Number
ValueCountFrequency (%)
1 139
20.2%
2 128
18.6%
3 93
13.5%
5 59
8.6%
4 55
 
8.0%
9 52
 
7.5%
8 44
 
6.4%
6 41
 
6.0%
7 41
 
6.0%
0 37
 
5.4%
Space Separator
ValueCountFrequency (%)
566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1957
58.4%
Common 1395
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
342
17.5%
171
 
8.7%
152
 
7.8%
135
 
6.9%
135
 
6.9%
135
 
6.9%
132
 
6.7%
129
 
6.6%
80
 
4.1%
54
 
2.8%
Other values (63) 492
25.1%
Common
ValueCountFrequency (%)
566
40.6%
1 139
 
10.0%
2 128
 
9.2%
3 93
 
6.7%
- 74
 
5.3%
5 59
 
4.2%
4 55
 
3.9%
9 52
 
3.7%
8 44
 
3.2%
6 41
 
2.9%
Other values (6) 144
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1957
58.4%
ASCII 1395
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
40.6%
1 139
 
10.0%
2 128
 
9.2%
3 93
 
6.7%
- 74
 
5.3%
5 59
 
4.2%
4 55
 
3.9%
9 52
 
3.7%
8 44
 
3.2%
6 41
 
2.9%
Other values (6) 144
 
10.3%
Hangul
ValueCountFrequency (%)
342
17.5%
171
 
8.7%
152
 
7.8%
135
 
6.9%
135
 
6.9%
135
 
6.9%
132
 
6.7%
129
 
6.6%
80
 
4.1%
54
 
2.8%
Other values (63) 492
25.1%
Distinct97
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T07:40:19.717938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.718519
Min length13

Characters and Unicode

Total characters1852
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

Unique93 ?
Unique (%)68.9%

Sample

1st row 055-862-6022
2nd row 055-862-6042
3rd row000-0000-0000
4th row 055- 864-2981
5th row 055- 864-2478
ValueCountFrequency (%)
055 95
35.6%
000-0000-0000 36
 
13.5%
867 22
 
8.2%
863 6
 
2.2%
862 3
 
1.1%
864 3
 
1.1%
863-0807 2
 
0.7%
6543 2
 
0.7%
0020 2
 
0.7%
867-2288 1
 
0.4%
Other values (95) 95
35.6%
2023-12-13T07:40:20.134624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 555
30.0%
- 270
14.6%
5 243
13.1%
194
 
10.5%
8 147
 
7.9%
6 128
 
6.9%
7 89
 
4.8%
3 57
 
3.1%
2 56
 
3.0%
1 43
 
2.3%
Other values (2) 70
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1388
74.9%
Dash Punctuation 270
 
14.6%
Space Separator 194
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 555
40.0%
5 243
17.5%
8 147
 
10.6%
6 128
 
9.2%
7 89
 
6.4%
3 57
 
4.1%
2 56
 
4.0%
1 43
 
3.1%
4 40
 
2.9%
9 30
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Space Separator
ValueCountFrequency (%)
194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 555
30.0%
- 270
14.6%
5 243
13.1%
194
 
10.5%
8 147
 
7.9%
6 128
 
6.9%
7 89
 
4.8%
3 57
 
3.1%
2 56
 
3.0%
1 43
 
2.3%
Other values (2) 70
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 555
30.0%
- 270
14.6%
5 243
13.1%
194
 
10.5%
8 147
 
7.9%
6 128
 
6.9%
7 89
 
4.8%
3 57
 
3.1%
2 56
 
3.0%
1 43
 
2.3%
Other values (2) 70
 
3.8%

Interactions

2023-12-13T07:40:17.135507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:40:20.269378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명소재지전화
연번1.0000.9960.837
업종명0.9961.0000.861
소재지전화0.8370.8611.000
2023-12-13T07:40:20.384966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.913
업종명0.9131.000

Missing values

2023-12-13T07:40:17.253752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:40:17.324793image/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
01숙박업(일반)재두장여관경상남도 남해군 상주면 남해대로 918-6055-862-6022
12숙박업(일반)해주여관경상남도 남해군 상주면 상주로 17-6055-862-6042
23숙박업(일반)한려산장경상남도 남해군 상주면 남해대로 591-56000-0000-0000
34숙박업(일반)K모텔경상남도 남해군 남해읍 화전로 52-9055- 864-2981
45숙박업(일반)영남장여관경상남도 남해군 남해읍 화전로38번길 28055- 864-2478
56숙박업(일반)미송여관경상남도 남해군 미조면 미조로 232-4055- 867-6078
67숙박업(일반)진주장여관경상남도 남해군 남해읍 화전로 52055- 864-2232
78숙박업(일반)금화여관경상남도 남해군 미조면 미조로 248055- 867-7001
89숙박업(일반)J모텔경상남도 남해군 남해읍 화전로38번길 25055- 862-1501
910숙박업(일반)남해장여관경상남도 남해군 남해읍 화전로96번길 6-3055- 864-2273
연번업종명업소명영업소 주소(도로명)소재지전화
125126숙박업(생활)보물섬캠핑장경상남도 남해군 남면 남면로1229번길 10-34, 보물섬캠핑장000-0000-0000
126127숙박업(생활)웨이포인트 풀빌라(waypoint)경상남도 남해군 서면 남서대로 1803-64000-0000-0000
127128숙박업(생활)더 테라스경상남도 남해군 서면 남서대로1517번길 21-9000-0000-0000
128129숙박업(생활)까사드발리(CASA DE BALI)경상남도 남해군 미조면 미송로 341-12000-0000-0000
129130숙박업(생활)투시즌 펜션경상남도 남해군 삼동면 동부대로1122번길 132-9000-0000-0000
130131숙박업(생활)펜션 미조항경상남도 남해군 미조면 미조로 230000-0000-0000
131132숙박업(생활)씨앤리조트 신관경상남도 남해군 남면 남면로 219-26000-0000-0000
132133숙박업(생활)씨앤리조트경상남도 남해군 남면 남면로 219-28000-0000-0000
133134숙박업(생활)설리와카라반펜션경상남도 남해군 미조면 미송로 291000-0000-0000
134135숙박업(생활)구공스테이 남해키즈풀빌라경상남도 남해군 남면 남면로1031번길 52000-0000-0000