Overview

Dataset statistics

Number of variables3
Number of observations94
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory26.4 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시_기장군_농어촌민박현황_20220831
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15053896

Alerts

순번 has unique valuesUnique
명칭 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:15:00.767696
Analysis finished2023-12-10 16:15:01.267519
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-11T01:15:01.366314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2023-12-11T01:15:01.521229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
61 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
Other values (84) 84
89.4%
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 (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

명칭
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-11T01:15:01.875131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.0638298
Min length2

Characters and Unicode

Total characters476
Distinct characters177
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)100.0%

Sample

1st row선민박
2nd row부산송정로뎀나무
3rd row엘림
4th row서랑
5th row얀카라반펜션
ValueCountFrequency (%)
선민박 1
 
1.0%
도시민박 1
 
1.0%
강산에 1
 
1.0%
일광민박 1
 
1.0%
비치하임펜션 1
 
1.0%
아라하우스 1
 
1.0%
그루브펜션 1
 
1.0%
늘푸른민박 1
 
1.0%
오시리아인펜션 1
 
1.0%
꼴하우스 1
 
1.0%
Other values (89) 89
89.9%
2023-12-11T01:15:02.338713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
션 24
 
5.0%
펜 24
 
5.0%
박 16
 
3.4%
민 16
 
3.4%
이 11
 
2.3%
하 11
 
2.3%
리 10
 
2.1%
우 8
 
1.7%
스 8
 
1.7%
르 8
 
1.7%
Other values (167) 340
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
86.3%
Uppercase Letter 22
 
4.6%
Decimal Number 19
 
4.0%
Lowercase Letter 12
 
2.5%
Space Separator 5
 
1.1%
Other Punctuation 3
 
0.6%
Dash Punctuation 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
션 24
 
5.8%
펜 24
 
5.8%
박 16
 
3.9%
민 16
 
3.9%
이 11
 
2.7%
하 11
 
2.7%
리 10
 
2.4%
우 8
 
1.9%
스 8
 
1.9%
르 8
 
1.9%
Other values (134) 275
66.9%
Uppercase Letter
ValueCountFrequency (%)
K 4
18.2%
N 3
13.6%
J 3
13.6%
C 3
13.6%
A 2
9.1%
O 2
9.1%
S 2
9.1%
B 1
 
4.5%
G 1
 
4.5%
E 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
a 2
16.7%
w 1
8.3%
l 1
8.3%
t 1
8.3%
y 1
8.3%
g 1
8.3%
m 1
8.3%
n 1
8.3%
i 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 7
36.8%
1 4
21.1%
7 2
 
10.5%
8 2
 
10.5%
6 1
 
5.3%
9 1
 
5.3%
0 1
 
5.3%
5 1
 
5.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
86.3%
Latin 34
 
7.1%
Common 31
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
션 24
 
5.8%
펜 24
 
5.8%
박 16
 
3.9%
민 16
 
3.9%
이 11
 
2.7%
하 11
 
2.7%
리 10
 
2.4%
우 8
 
1.9%
스 8
 
1.9%
르 8
 
1.9%
Other values (134) 275
66.9%
Latin
ValueCountFrequency (%)
K 4
 
11.8%
N 3
 
8.8%
J 3
 
8.8%
C 3
 
8.8%
o 2
 
5.9%
A 2
 
5.9%
O 2
 
5.9%
a 2
 
5.9%
S 2
 
5.9%
w 1
 
2.9%
Other values (10) 10
29.4%
Common
ValueCountFrequency (%)
2 7
22.6%
5
16.1%
1 4
12.9%
& 3
9.7%
7 2
 
6.5%
8 2
 
6.5%
- 2
 
6.5%
( 1
 
3.2%
) 1
 
3.2%
6 1
 
3.2%
Other values (3) 3
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
86.3%
ASCII 65
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
션 24
 
5.8%
펜 24
 
5.8%
박 16
 
3.9%
민 16
 
3.9%
이 11
 
2.7%
하 11
 
2.7%
리 10
 
2.4%
우 8
 
1.9%
스 8
 
1.9%
르 8
 
1.9%
Other values (134) 275
66.9%
ASCII
ValueCountFrequency (%)
2 7
 
10.8%
5
 
7.7%
1 4
 
6.2%
K 4
 
6.2%
N 3
 
4.6%
& 3
 
4.6%
J 3
 
4.6%
C 3
 
4.6%
o 2
 
3.1%
A 2
 
3.1%
Other values (23) 29
44.6%

소재지(도로명)
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-11T01:15:02.732499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length23.180851
Min length20

Characters and Unicode

Total characters2179
Distinct characters102
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

Unique94 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 장안읍 임랑해안길 45
2nd row부산광역시 기장군 기장읍 당사로3길 20
3rd row부산광역시 기장군 장안읍 하장안1길 5-7
4th row부산광역시 기장군 기장읍 소정길 11
5th row부산광역시 기장군 장안읍 해맞이로 250-64
ValueCountFrequency (%)
부산광역시 94
19.4%
기장군 94
19.4%
기장읍 41
 
8.5%
일광읍 30
 
6.2%
장안읍 20
 
4.1%
당사로1길 9
 
1.9%
해맞이로 7
 
1.4%
문오성길 7
 
1.4%
학리길 6
 
1.2%
기장해안로 5
 
1.0%
Other values (131) 171
35.3%
2023-12-11T01:15:03.300615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
390
17.9%
장 164
 
7.5%
기 142
 
6.5%
광 129
 
5.9%
산 97
 
4.5%
시 95
 
4.4%
부 94
 
4.3%
역 94
 
4.3%
군 94
 
4.3%
읍 93
 
4.3%
Other values (92) 787
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1425
65.4%
Space Separator 390
 
17.9%
Decimal Number 310
 
14.2%
Dash Punctuation 39
 
1.8%
Other Punctuation 14
 
0.6%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 164
11.5%
기 142
10.0%
광 129
 
9.1%
산 97
 
6.8%
시 95
 
6.7%
부 94
 
6.6%
역 94
 
6.6%
군 94
 
6.6%
읍 93
 
6.5%
길 74
 
5.2%
Other values (78) 349
24.5%
Decimal Number
ValueCountFrequency (%)
1 79
25.5%
2 52
16.8%
3 45
14.5%
0 24
 
7.7%
4 23
 
7.4%
5 23
 
7.4%
6 19
 
6.1%
7 16
 
5.2%
9 15
 
4.8%
8 14
 
4.5%
Space Separator
ValueCountFrequency (%)
390
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1425
65.4%
Common 753
34.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 164
11.5%
기 142
10.0%
광 129
 
9.1%
산 97
 
6.8%
시 95
 
6.7%
부 94
 
6.6%
역 94
 
6.6%
군 94
 
6.6%
읍 93
 
6.5%
길 74
 
5.2%
Other values (78) 349
24.5%
Common
ValueCountFrequency (%)
390
51.8%
1 79
 
10.5%
2 52
 
6.9%
3 45
 
6.0%
- 39
 
5.2%
0 24
 
3.2%
4 23
 
3.1%
5 23
 
3.1%
6 19
 
2.5%
7 16
 
2.1%
Other values (3) 43
 
5.7%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1425
65.4%
ASCII 754
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
390
51.7%
1 79
 
10.5%
2 52
 
6.9%
3 45
 
6.0%
- 39
 
5.2%
0 24
 
3.2%
4 23
 
3.1%
5 23
 
3.1%
6 19
 
2.5%
7 16
 
2.1%
Other values (4) 44
 
5.8%
Hangul
ValueCountFrequency (%)
장 164
11.5%
기 142
10.0%
광 129
 
9.1%
산 97
 
6.8%
시 95
 
6.7%
부 94
 
6.6%
역 94
 
6.6%
군 94
 
6.6%
읍 93
 
6.5%
길 74
 
5.2%
Other values (78) 349
24.5%

Interactions

2023-12-11T01:15:01.015146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:15:03.426057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번명칭소재지(도로명)
순번1.0001.0001.000
명칭1.0001.0001.000
소재지(도로명)1.0001.0001.000

Missing values

2023-12-11T01:15:01.134394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:15:01.233249image/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

순번명칭소재지(도로명)
01선민박부산광역시 기장군 장안읍 임랑해안길 45
12부산송정로뎀나무부산광역시 기장군 기장읍 당사로3길 20
23엘림부산광역시 기장군 장안읍 하장안1길 5-7
34서랑부산광역시 기장군 기장읍 소정길 11
45얀카라반펜션부산광역시 기장군 장안읍 해맞이로 250-64
56메종부산광역시 기장군 기장읍 당사로3길 31
67미화민박부산광역시 기장군 기장읍 월전1길 4, 미화횟집
78알로하펜션부산광역시 기장군 일광읍 일광로 582-14
89더베이부산광역시 기장군 기장읍 당사로1길 23
910라메르부산광역시 기장군 기장읍 당사로1길 17
순번명칭소재지(도로명)
8485반딧불이민박부산광역시 기장군 장안읍 기룡1길 43-6
8586마운틴262부산광역시 기장군 정관읍 병산2로 6
8687드동백부산광역시 기장군 일광읍 문오성길 327
8788일광펜션부산광역시 기장군 일광읍 일광로 806
8889연화스테이부산광역시 기장군 기장읍 연화1길 43-6
8990일광낮은집부산광역시 기장군 일광읍 청원길 193-1
9091문동집부산광역시 기장군 일광읍 창마을길 10-1
9192Slow Stay부산광역시 기장군 기장읍 내리길 146-31
9293물고기자리부산광역시 기장군 기장읍 원죽길 60-1
9394희베희베부산광역시 기장군 장안읍 기룡2길 70-6