Overview

Dataset statistics

Number of variables6
Number of observations99
Missing cells297
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory53.3 B

Variable types

Numeric1
Text2
Unsupported3

Dataset

Description부산광역시 기장군 농어촌민박 현황(2022.8.기준)에 대한 데이터로 민박명칭, 민박소재지(도로명주소)를 제공합니다.
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15123869/fileData.do

Alerts

Unnamed: 3 has 99 (100.0%) missing valuesMissing
Unnamed: 4 has 99 (100.0%) missing valuesMissing
Unnamed: 5 has 99 (100.0%) missing valuesMissing
연번 has unique valuesUnique
민박소재지(도로명)주소 has unique valuesUnique
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 16:55:28.116225
Analysis finished2023-12-12 16:55:28.615723
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-13T01:55:28.682950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2023-12-13T01:55:28.804471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%

민박명칭
Text

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-13T01:55:29.040704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.030303
Min length2

Characters and Unicode

Total characters498
Distinct characters180
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

Unique97 ?
Unique (%)98.0%

Sample

1st row해봄
2nd row빌라 드 칠암
3rd row숲 바다
4th row빌라 드 히멜
5th row빌라 드 미르
ValueCountFrequency (%)
빌라 3
 
2.7%
드 3
 
2.7%
오시리아 2
 
1.8%
보리수 1
 
0.9%
부산송정시랑리129 1
 
0.9%
가족&단체&커플 1
 
0.9%
로드엠펜션 1
 
0.9%
jace 1
 
0.9%
일광횡계민박 1
 
0.9%
삼성장민박 1
 
0.9%
Other values (96) 96
86.5%
2023-12-13T01:55:29.388592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
션 25
 
5.0%
펜 25
 
5.0%
박 16
 
3.2%
민 16
 
3.2%
리 12
 
2.4%
12
 
2.4%
하 11
 
2.2%
이 10
 
2.0%
라 10
 
2.0%
드 8
 
1.6%
Other values (170) 353
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 426
85.5%
Uppercase Letter 22
 
4.4%
Decimal Number 19
 
3.8%
Space Separator 12
 
2.4%
Lowercase Letter 12
 
2.4%
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 25
 
5.9%
펜 25
 
5.9%
박 16
 
3.8%
민 16
 
3.8%
리 12
 
2.8%
하 11
 
2.6%
이 10
 
2.3%
라 10
 
2.3%
드 8
 
1.9%
시 7
 
1.6%
Other values (137) 286
67.1%
Uppercase Letter
ValueCountFrequency (%)
K 4
18.2%
J 3
13.6%
C 3
13.6%
N 3
13.6%
O 2
9.1%
A 2
9.1%
S 2
9.1%
E 1
 
4.5%
G 1
 
4.5%
B 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
a 2
16.7%
i 1
8.3%
n 1
8.3%
y 1
8.3%
t 1
8.3%
w 1
8.3%
l 1
8.3%
g 1
8.3%
m 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 7
36.8%
1 4
21.1%
7 2
 
10.5%
8 2
 
10.5%
0 1
 
5.3%
5 1
 
5.3%
9 1
 
5.3%
6 1
 
5.3%
Space Separator
ValueCountFrequency (%)
12
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 426
85.5%
Common 38
 
7.6%
Latin 34
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
션 25
 
5.9%
펜 25
 
5.9%
박 16
 
3.8%
민 16
 
3.8%
리 12
 
2.8%
하 11
 
2.6%
이 10
 
2.3%
라 10
 
2.3%
드 8
 
1.9%
시 7
 
1.6%
Other values (137) 286
67.1%
Latin
ValueCountFrequency (%)
K 4
 
11.8%
J 3
 
8.8%
C 3
 
8.8%
N 3
 
8.8%
O 2
 
5.9%
A 2
 
5.9%
S 2
 
5.9%
o 2
 
5.9%
a 2
 
5.9%
i 1
 
2.9%
Other values (10) 10
29.4%
Common
ValueCountFrequency (%)
12
31.6%
2 7
18.4%
1 4
 
10.5%
& 3
 
7.9%
- 2
 
5.3%
7 2
 
5.3%
8 2
 
5.3%
0 1
 
2.6%
5 1
 
2.6%
9 1
 
2.6%
Other values (3) 3
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 426
85.5%
ASCII 72
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
션 25
 
5.9%
펜 25
 
5.9%
박 16
 
3.8%
민 16
 
3.8%
리 12
 
2.8%
하 11
 
2.6%
이 10
 
2.3%
라 10
 
2.3%
드 8
 
1.9%
시 7
 
1.6%
Other values (137) 286
67.1%
ASCII
ValueCountFrequency (%)
12
16.7%
2 7
 
9.7%
1 4
 
5.6%
K 4
 
5.6%
J 3
 
4.2%
C 3
 
4.2%
N 3
 
4.2%
& 3
 
4.2%
O 2
 
2.8%
- 2
 
2.8%
Other values (23) 29
40.3%

민박소재지(도로명)주소
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-13T01:55:29.687960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length23.252525
Min length20

Characters and Unicode

Total characters2302
Distinct characters104
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

Unique99 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 일광읍 일광로 800
2nd row부산광역시 기장군 일광읍 장곡길 89-8
3rd row부산광역시 기장군 기장읍 죽성로 332-1
4th row부산광역시 기장군 일광읍 장곡길 89-12
5th row부산광역시 기장군 일광읍 장곡길 89-10
ValueCountFrequency (%)
부산광역시 99
19.3%
기장군 99
19.3%
기장읍 39
 
7.6%
일광면 23
 
4.5%
장안읍 22
 
4.3%
일광읍 12
 
2.3%
일광로 7
 
1.4%
학리길 7
 
1.4%
당사로1길 7
 
1.4%
문오성길 6
 
1.2%
Other values (143) 191
37.3%
2023-12-13T01:55:30.123273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
413
17.9%
장 173
 
7.5%
기 146
 
6.3%
광 141
 
6.1%
산 102
 
4.4%
부 99
 
4.3%
역 99
 
4.3%
시 99
 
4.3%
군 99
 
4.3%
1 84
 
3.6%
Other values (94) 847
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1500
65.2%
Space Separator 413
 
17.9%
Decimal Number 329
 
14.3%
Dash Punctuation 44
 
1.9%
Other Punctuation 15
 
0.7%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 173
11.5%
기 146
 
9.7%
광 141
 
9.4%
산 102
 
6.8%
부 99
 
6.6%
역 99
 
6.6%
시 99
 
6.6%
군 99
 
6.6%
길 76
 
5.1%
읍 75
 
5.0%
Other values (80) 391
26.1%
Decimal Number
ValueCountFrequency (%)
1 84
25.5%
2 55
16.7%
3 42
12.8%
0 25
 
7.6%
4 25
 
7.6%
5 22
 
6.7%
8 21
 
6.4%
6 20
 
6.1%
9 19
 
5.8%
7 16
 
4.9%
Space Separator
ValueCountFrequency (%)
413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1500
65.2%
Common 801
34.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 173
11.5%
기 146
 
9.7%
광 141
 
9.4%
산 102
 
6.8%
부 99
 
6.6%
역 99
 
6.6%
시 99
 
6.6%
군 99
 
6.6%
길 76
 
5.1%
읍 75
 
5.0%
Other values (80) 391
26.1%
Common
ValueCountFrequency (%)
413
51.6%
1 84
 
10.5%
2 55
 
6.9%
- 44
 
5.5%
3 42
 
5.2%
0 25
 
3.1%
4 25
 
3.1%
5 22
 
2.7%
8 21
 
2.6%
6 20
 
2.5%
Other values (3) 50
 
6.2%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1500
65.2%
ASCII 802
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
413
51.5%
1 84
 
10.5%
2 55
 
6.9%
- 44
 
5.5%
3 42
 
5.2%
0 25
 
3.1%
4 25
 
3.1%
5 22
 
2.7%
8 21
 
2.6%
6 20
 
2.5%
Other values (4) 51
 
6.4%
Hangul
ValueCountFrequency (%)
장 173
11.5%
기 146
 
9.7%
광 141
 
9.4%
산 102
 
6.8%
부 99
 
6.6%
역 99
 
6.6%
시 99
 
6.6%
군 99
 
6.6%
길 76
 
5.1%
읍 75
 
5.0%
Other values (80) 391
26.1%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

Interactions

2023-12-13T01:55:28.382825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:55:30.501230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번민박명칭민박소재지(도로명)주소
연번1.0000.9411.000
민박명칭0.9411.0001.000
민박소재지(도로명)주소1.0001.0001.000

Missing values

2023-12-13T01:55:28.485146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:55:28.579236image/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

연번민박명칭민박소재지(도로명)주소Unnamed: 3Unnamed: 4Unnamed: 5
01해봄부산광역시 기장군 일광읍 일광로 800<NA><NA><NA>
12빌라 드 칠암부산광역시 기장군 일광읍 장곡길 89-8<NA><NA><NA>
23숲 바다부산광역시 기장군 기장읍 죽성로 332-1<NA><NA><NA>
34빌라 드 히멜부산광역시 기장군 일광읍 장곡길 89-12<NA><NA><NA>
45빌라 드 미르부산광역시 기장군 일광읍 장곡길 89-10<NA><NA><NA>
56어썸펜션부산광역시 기장군 일광읍 일광로 812<NA><NA><NA>
67태양부산광역시 기장군 장안읍 월내해안2길 8-1<NA><NA><NA>
78동펜션부산광역시 기장군 일광읍 일광로 809<NA><NA><NA>
89선희부산광역시 기장군 장안읍 개천2길 18<NA><NA><NA>
910별장민박부산광역시 기장군 장안읍 임랑2길 14, 별장민박<NA><NA><NA>
연번민박명칭민박소재지(도로명)주소Unnamed: 3Unnamed: 4Unnamed: 5
8990라메르부산광역시 기장군 기장읍 당사로1길 17<NA><NA><NA>
9091더베이부산광역시 기장군 기장읍 당사로1길 23<NA><NA><NA>
9192알로하펜션부산광역시 기장군 일광면 일광로 582-14<NA><NA><NA>
9293미화민박부산광역시 기장군 기장읍 월전1길 4, 미화횟집<NA><NA><NA>
9394얀카라반펜션부산광역시 기장군 장안읍 해맞이로 250-64<NA><NA><NA>
9495서랑부산광역시 기장군 기장읍 소정길 11<NA><NA><NA>
9596엘림부산광역시 기장군 장안읍 하장안1길 5-7<NA><NA><NA>
9697메종부산광역시 기장군 기장읍 당사로3길 31<NA><NA><NA>
9798부산송정로뎀나무부산광역시 기장군 기장읍 당사로3길 20<NA><NA><NA>
9899선민박부산광역시 기장군 장안읍 임랑해안길 45<NA><NA><NA>