Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory43.7 B

Variable types

Numeric1
Text3
Boolean1

Dataset

Description전북특별자치도 군산시에 등록된 외국인관광 도시민박업 상호명과 위치를 나열한 목록입니다. 군산을 찾아주시는 관광객들에게 유용한 정보를 제공하여 쾌적한 여행에 정보 제공.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15103319/fileData.do

Alerts

운영상태 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
소재지주소 has unique valuesUnique
소재지 영문 주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:52:58.371681
Analysis finished2024-03-14 12:52:59.174680
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-03-14T21:52:59.306575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-03-14T21:52:59.562918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

업체명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-03-14T21:53:00.369914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11.5
Mean length6.6458333
Min length1

Characters and Unicode

Total characters319
Distinct characters130
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row나비잠
2nd row게스트하우스우정
3rd row꿀잠
4th row쿨쿨달몽
5th row게스트하우스 이웃
ValueCountFrequency (%)
게스트하우스 10
 
13.9%
스테이 4
 
5.6%
주인 1
 
1.4%
화양 1
 
1.4%
찰리하우스 1
 
1.4%
가옥 1
 
1.4%
1925 1
 
1.4%
월명동앤 1
 
1.4%
작은 1
 
1.4%
고집 1
 
1.4%
Other values (50) 50
69.4%
2024-03-14T21:53:01.395116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 38
 
11.9%
24
 
7.5%
하 17
 
5.3%
우 17
 
5.3%
트 14
 
4.4%
게 13
 
4.1%
이 13
 
4.1%
테 8
 
2.5%
소 5
 
1.6%
랑 4
 
1.3%
Other values (120) 166
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 269
84.3%
Space Separator 24
 
7.5%
Lowercase Letter 10
 
3.1%
Decimal Number 7
 
2.2%
Uppercase Letter 5
 
1.6%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 38
 
14.1%
하 17
 
6.3%
우 17
 
6.3%
트 14
 
5.2%
게 13
 
4.8%
이 13
 
4.8%
테 8
 
3.0%
소 5
 
1.9%
랑 4
 
1.5%
말 3
 
1.1%
Other values (98) 137
50.9%
Lowercase Letter
ValueCountFrequency (%)
h 2
20.0%
p 2
20.0%
a 1
10.0%
o 1
10.0%
y 1
10.0%
u 1
10.0%
s 1
10.0%
e 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
3 1
14.3%
5 1
14.3%
9 1
14.3%
1 1
14.3%
0 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
O 1
20.0%
R 1
20.0%
B 1
20.0%
I 1
20.0%
G 1
20.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 269
84.3%
Common 35
 
11.0%
Latin 15
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 38
 
14.1%
하 17
 
6.3%
우 17
 
6.3%
트 14
 
5.2%
게 13
 
4.8%
이 13
 
4.8%
테 8
 
3.0%
소 5
 
1.9%
랑 4
 
1.5%
말 3
 
1.1%
Other values (98) 137
50.9%
Latin
ValueCountFrequency (%)
h 2
13.3%
p 2
13.3%
O 1
 
6.7%
R 1
 
6.7%
B 1
 
6.7%
I 1
 
6.7%
G 1
 
6.7%
a 1
 
6.7%
o 1
 
6.7%
y 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
24
68.6%
) 2
 
5.7%
2 2
 
5.7%
( 2
 
5.7%
3 1
 
2.9%
5 1
 
2.9%
9 1
 
2.9%
1 1
 
2.9%
0 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 269
84.3%
ASCII 50
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 38
 
14.1%
하 17
 
6.3%
우 17
 
6.3%
트 14
 
5.2%
게 13
 
4.8%
이 13
 
4.8%
테 8
 
3.0%
소 5
 
1.9%
랑 4
 
1.5%
말 3
 
1.1%
Other values (98) 137
50.9%
ASCII
ValueCountFrequency (%)
24
48.0%
) 2
 
4.0%
2 2
 
4.0%
h 2
 
4.0%
p 2
 
4.0%
( 2
 
4.0%
O 1
 
2.0%
R 1
 
2.0%
B 1
 
2.0%
I 1
 
2.0%
Other values (12) 12
24.0%

소재지주소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-03-14T21:53:02.232713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length27.3125
Min length22

Characters and Unicode

Total characters1311
Distinct characters66
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

Unique48 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 군산시 구영3길 34-2 (월명동)
2nd row전북특별자치도 군산시 거석길 39 (중앙로1가)
3rd row전북특별자치도 군산시 구영3길 67 (신창동)
4th row전북특별자치도 군산시 구영1길 6 (월명동)
5th row전북특별자치도 군산시 구영1길 11-2 (신흥동)
ValueCountFrequency (%)
전북특별자치도 48
18.9%
군산시 48
18.9%
월명동 16
 
6.3%
신창동 9
 
3.5%
영화동 9
 
3.5%
구영3길 8
 
3.1%
신흥동 8
 
3.1%
구영5길 7
 
2.8%
2층 6
 
2.4%
월명로 5
 
2.0%
Other values (65) 90
35.4%
2024-03-14T21:53:03.336029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
16.0%
전 48
 
3.7%
도 48
 
3.7%
시 48
 
3.7%
산 48
 
3.7%
군 48
 
3.7%
북 48
 
3.7%
치 48
 
3.7%
자 48
 
3.7%
별 48
 
3.7%
Other values (56) 669
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
60.5%
Space Separator 210
 
16.0%
Decimal Number 180
 
13.7%
Close Punctuation 45
 
3.4%
Open Punctuation 45
 
3.4%
Dash Punctuation 22
 
1.7%
Other Punctuation 16
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 48
 
6.1%
도 48
 
6.1%
시 48
 
6.1%
산 48
 
6.1%
군 48
 
6.1%
북 48
 
6.1%
치 48
 
6.1%
자 48
 
6.1%
별 48
 
6.1%
특 48
 
6.1%
Other values (41) 313
39.5%
Decimal Number
ValueCountFrequency (%)
1 44
24.4%
2 30
16.7%
3 23
12.8%
5 18
10.0%
6 16
 
8.9%
4 14
 
7.8%
7 14
 
7.8%
0 9
 
5.0%
8 8
 
4.4%
9 4
 
2.2%
Space Separator
ValueCountFrequency (%)
210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 793
60.5%
Common 518
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 48
 
6.1%
도 48
 
6.1%
시 48
 
6.1%
산 48
 
6.1%
군 48
 
6.1%
북 48
 
6.1%
치 48
 
6.1%
자 48
 
6.1%
별 48
 
6.1%
특 48
 
6.1%
Other values (41) 313
39.5%
Common
ValueCountFrequency (%)
210
40.5%
) 45
 
8.7%
( 45
 
8.7%
1 44
 
8.5%
2 30
 
5.8%
3 23
 
4.4%
- 22
 
4.2%
5 18
 
3.5%
6 16
 
3.1%
, 16
 
3.1%
Other values (5) 49
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 793
60.5%
ASCII 518
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
40.5%
) 45
 
8.7%
( 45
 
8.7%
1 44
 
8.5%
2 30
 
5.8%
3 23
 
4.4%
- 22
 
4.2%
5 18
 
3.5%
6 16
 
3.1%
, 16
 
3.1%
Other values (5) 49
 
9.5%
Hangul
ValueCountFrequency (%)
전 48
 
6.1%
도 48
 
6.1%
시 48
 
6.1%
산 48
 
6.1%
군 48
 
6.1%
북 48
 
6.1%
치 48
 
6.1%
자 48
 
6.1%
별 48
 
6.1%
특 48
 
6.1%
Other values (41) 313
39.5%

소재지 영문 주소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-03-14T21:53:04.247577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length64.5
Mean length62.541667
Min length45

Characters and Unicode

Total characters3002
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row34-2, Guyeong 3-gil, Gunsan-si, Jeonbuk state, Republic of Korea
2nd row17, Uchetong-geori 1-gil, Gunsan-si, Jeonbuk state, Republic of Korea
3rd row67, Guyeong 3-gil, Gunsan-si, Jeonbuk state, Republic of Korea
4th row6, Guyeong 1-gil, Gunsan-si, Jeonbuk state, Republic of Korea
5th row11-2, Guyeong 1-gil, Gunsan-si, Jeonbuk state, Republic of Korea
ValueCountFrequency (%)
gunsan-si 48
11.6%
jeonbuk 48
11.6%
state 48
11.6%
republic 47
11.4%
of 47
11.4%
korea 44
10.7%
guyeong 28
 
6.8%
3-gil 8
 
1.9%
5-gil 7
 
1.7%
1-gil 6
 
1.5%
Other values (58) 82
19.9%
2024-03-14T21:53:05.522888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
365
 
12.2%
e 231
 
7.7%
o 206
 
6.9%
n 196
 
6.5%
, 190
 
6.3%
u 178
 
5.9%
a 148
 
4.9%
s 147
 
4.9%
i 137
 
4.6%
- 121
 
4.0%
Other values (32) 1083
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1928
64.2%
Space Separator 365
 
12.2%
Uppercase Letter 238
 
7.9%
Other Punctuation 190
 
6.3%
Decimal Number 160
 
5.3%
Dash Punctuation 121
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 231
12.0%
o 206
10.7%
n 196
10.2%
u 178
9.2%
a 148
 
7.7%
s 147
 
7.6%
i 137
 
7.1%
t 98
 
5.1%
g 97
 
5.0%
l 95
 
4.9%
Other values (10) 395
20.5%
Decimal Number
ValueCountFrequency (%)
1 38
23.8%
2 23
14.4%
3 19
11.9%
5 17
10.6%
6 16
10.0%
7 15
 
9.4%
4 13
 
8.1%
0 9
 
5.6%
8 8
 
5.0%
9 2
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
G 76
31.9%
J 55
23.1%
R 47
19.7%
K 47
19.7%
W 5
 
2.1%
D 3
 
1.3%
U 2
 
0.8%
S 2
 
0.8%
O 1
 
0.4%
Space Separator
ValueCountFrequency (%)
365
100.0%
Other Punctuation
ValueCountFrequency (%)
, 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2166
72.2%
Common 836
 
27.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 231
 
10.7%
o 206
 
9.5%
n 196
 
9.0%
u 178
 
8.2%
a 148
 
6.8%
s 147
 
6.8%
i 137
 
6.3%
t 98
 
4.5%
g 97
 
4.5%
l 95
 
4.4%
Other values (19) 633
29.2%
Common
ValueCountFrequency (%)
365
43.7%
, 190
22.7%
- 121
 
14.5%
1 38
 
4.5%
2 23
 
2.8%
3 19
 
2.3%
5 17
 
2.0%
6 16
 
1.9%
7 15
 
1.8%
4 13
 
1.6%
Other values (3) 19
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
365
 
12.2%
e 231
 
7.7%
o 206
 
6.9%
n 196
 
6.5%
, 190
 
6.3%
u 178
 
5.9%
a 148
 
4.9%
s 147
 
4.9%
i 137
 
4.6%
- 121
 
4.0%
Other values (32) 1083
36.1%

운영상태
Boolean

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size176.0 B
True
48 
ValueCountFrequency (%)
True 48
100.0%
2024-03-14T21:53:05.850879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-03-14T21:52:58.712537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:53:06.018586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지주소소재지 영문 주소
연번1.0001.0001.0001.000
업체명1.0001.0001.0001.000
소재지주소1.0001.0001.0001.000
소재지 영문 주소1.0001.0001.0001.000

Missing values

2024-03-14T21:52:58.942843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:52:59.108771image/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

연번업체명소재지주소소재지 영문 주소운영상태
01나비잠전북특별자치도 군산시 구영3길 34-2 (월명동)34-2, Guyeong 3-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
12게스트하우스우정전북특별자치도 군산시 거석길 39 (중앙로1가)17, Uchetong-geori 1-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
23꿀잠전북특별자치도 군산시 구영3길 67 (신창동)67, Guyeong 3-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
34쿨쿨달몽전북특별자치도 군산시 구영1길 6 (월명동)6, Guyeong 1-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
45게스트하우스 이웃전북특별자치도 군산시 구영1길 11-2 (신흥동)11-2, Guyeong 1-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
56하늘전북특별자치도 군산시 구영3길 72 (신창동)72, Guyeong 3-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
67산들 게스트하우스전북특별자치도 군산시 동국사길 7-3 (월명동)7-3, Dongguksa-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
78게스트하우스 소설여행전북특별자치도 군산시 월명로 516-1 (신흥동)516-1, Wolmyeong-ro, Gunsan-si, Jeonbuk state, Republic of KoreaY
89다락전북특별자치도 군산시 절골길 12-4 (신흥동)12-4, Jeolgol-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
910다호전북특별자치도 군산시 구영7길 101 (영화동)101, Guyeong 7-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
연번업체명소재지주소소재지 영문 주소운영상태
3839오블로모프전북특별자치도 군산시 절골길 16, 2층 (신흥동)16, Jeolgol-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
3940초원포레전북특별자치도 군산시 구영3길 27 (월명동)27, Guyeong 3-gil, Gunsan-si, Jeonbuk state, Republic of KoreY
4041장미맨션전북특별자치도 군산시 동국사길 4, 2층 (월명동)4, Dongguksa-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
4142미키하우스전북특별자치도 군산시 월명로 483-1, 2층 (월명동)483-1, Wolmyeong-ro, Gunsan-si, Jeonbuk state, Republic of KoreaY
4243지브로 (GIBRO)전북특별자치도 군산시 구영1길 27 (신흥동)27, Guyeong 1-gil, Gunsan-si, Jeonbuk state, Republic of KoreY
4344팔레드군산전북특별자치도 군산시 구영6길 22-3, 3층 (월명동)22-3, Guyeong 6-gil, Gunsan-si, Jeonbuk state, Republic of KoreaY
4445소월스테이전북특별자치도 군산시 중앙로1가 3-33-3 Jungang-ro 1-ga, Gunsan-si, Jeonbuk stateY
4546비로소 유니크한 아늑함이 있는 방전북특별자치도 군산시 지곡동 512-4512-4, Jigok-dong, Gunsan-si, Jeonbuk state, Republic of KoreaY
4647말랭이마을 게스트하우스전북특별자치도 군산시 신흥동 58-1258-12, Sinheung-dong, Gunsan-si, Jeonbuk state, Republic of KoreaY
4748스테이 고즈넉전북특별자치도 군산시 신창동 41-3141-31, Sinchang-dong, Gunsan-si, Jeonbuk state, Republic of KoreaY