Overview

Dataset statistics

Number of variables4
Number of observations2984
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory96.3 KiB
Average record size in memory33.0 B

Variable types

Categorical2
Text2

Dataset

Description- 읍면동별로 농어촌 민박명과 소재지 정보를 제공합니다. - 데이터 제공처: 제주시
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/956

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2023-12-11 20:06:29.039984
Analysis finished2023-12-11 20:06:30.379654
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
구좌읍
756 
애월읍
660 
한림읍
464 
조천읍
400 
동지역
294 
Other values (3)
410 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구좌읍 756
25.3%
애월읍 660
22.1%
한림읍 464
15.5%
조천읍 400
13.4%
동지역 294
 
9.9%
한경면 285
 
9.6%
우도면 63
 
2.1%
추자면 62
 
2.1%

Length

2023-12-12T05:06:30.465822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:06:30.620203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구좌읍 756
25.3%
애월읍 660
22.1%
한림읍 464
15.5%
조천읍 400
13.4%
동지역 294
 
9.9%
한경면 285
 
9.6%
우도면 63
 
2.1%
추자면 62
 
2.1%

민박명
Text

Distinct2962
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-12T05:06:30.970913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.3026139
Min length1

Characters and Unicode

Total characters18807
Distinct characters785
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2940 ?
Unique (%)98.5%

Sample

1st row기영 민박
2nd row에너벨리
3rd row협재 빌리지
4th row해송민박
5th row영심 민박
ValueCountFrequency (%)
민박 813
 
18.4%
제주 46
 
1.0%
게스트하우스 42
 
1.0%
하우스 30
 
0.7%
스테이 22
 
0.5%
더 12
 
0.3%
제주도 9
 
0.2%
팜스빌리지 8
 
0.2%
협재 8
 
0.2%
월정리 7
 
0.2%
Other values (3162) 3420
77.4%
2023-12-12T05:06:31.510019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1436
 
7.6%
박 1149
 
6.1%
민 1148
 
6.1%
스 887
 
4.7%
하 562
 
3.0%
우 465
 
2.5%
이 416
 
2.2%
제 330
 
1.8%
주 320
 
1.7%
리 293
 
1.6%
Other values (775) 11801
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15759
83.8%
Space Separator 1436
 
7.6%
Lowercase Letter 524
 
2.8%
Decimal Number 519
 
2.8%
Uppercase Letter 360
 
1.9%
Close Punctuation 69
 
0.4%
Open Punctuation 69
 
0.4%
Other Punctuation 35
 
0.2%
Letter Number 19
 
0.1%
Dash Punctuation 11
 
0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 1149
 
7.3%
민 1148
 
7.3%
스 887
 
5.6%
하 562
 
3.6%
우 465
 
3.0%
이 416
 
2.6%
제 330
 
2.1%
주 320
 
2.0%
리 293
 
1.9%
트 200
 
1.3%
Other values (696) 9989
63.4%
Uppercase Letter
ValueCountFrequency (%)
A 34
 
9.4%
S 25
 
6.9%
T 24
 
6.7%
B 24
 
6.7%
M 24
 
6.7%
I 22
 
6.1%
E 22
 
6.1%
N 22
 
6.1%
H 20
 
5.6%
O 19
 
5.3%
Other values (16) 124
34.4%
Lowercase Letter
ValueCountFrequency (%)
e 60
11.5%
o 58
11.1%
a 52
9.9%
i 46
 
8.8%
s 46
 
8.8%
t 35
 
6.7%
n 33
 
6.3%
y 28
 
5.3%
u 26
 
5.0%
l 23
 
4.4%
Other values (15) 117
22.3%
Decimal Number
ValueCountFrequency (%)
1 126
24.3%
2 94
18.1%
0 70
13.5%
3 40
 
7.7%
5 37
 
7.1%
9 36
 
6.9%
4 33
 
6.4%
6 30
 
5.8%
7 29
 
5.6%
8 24
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 11
31.4%
. 6
17.1%
' 6
17.1%
: 6
17.1%
& 5
14.3%
! 1
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
47.4%
Ⅰ 8
42.1%
Ⅲ 2
 
10.5%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
1436
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15752
83.8%
Common 2145
 
11.4%
Latin 903
 
4.8%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 1149
 
7.3%
민 1148
 
7.3%
스 887
 
5.6%
하 562
 
3.6%
우 465
 
3.0%
이 416
 
2.6%
제 330
 
2.1%
주 320
 
2.0%
리 293
 
1.9%
트 200
 
1.3%
Other values (691) 9982
63.4%
Latin
ValueCountFrequency (%)
e 60
 
6.6%
o 58
 
6.4%
a 52
 
5.8%
i 46
 
5.1%
s 46
 
5.1%
t 35
 
3.9%
A 34
 
3.8%
n 33
 
3.7%
y 28
 
3.1%
u 26
 
2.9%
Other values (44) 485
53.7%
Common
ValueCountFrequency (%)
1436
66.9%
1 126
 
5.9%
2 94
 
4.4%
0 70
 
3.3%
) 69
 
3.2%
( 69
 
3.2%
3 40
 
1.9%
5 37
 
1.7%
9 36
 
1.7%
4 33
 
1.5%
Other values (15) 135
 
6.3%
Han
ValueCountFrequency (%)
家 3
42.9%
休 1
 
14.3%
安 1
 
14.3%
濟 1
 
14.3%
洲 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15752
83.8%
ASCII 3028
 
16.1%
Number Forms 19
 
0.1%
CJK 7
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1436
47.4%
1 126
 
4.2%
2 94
 
3.1%
0 70
 
2.3%
) 69
 
2.3%
( 69
 
2.3%
e 60
 
2.0%
o 58
 
1.9%
a 52
 
1.7%
i 46
 
1.5%
Other values (65) 948
31.3%
Hangul
ValueCountFrequency (%)
박 1149
 
7.3%
민 1148
 
7.3%
스 887
 
5.6%
하 562
 
3.6%
우 465
 
3.0%
이 416
 
2.6%
제 330
 
2.1%
주 320
 
2.0%
리 293
 
1.9%
트 200
 
1.3%
Other values (691) 9982
63.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
47.4%
Ⅰ 8
42.1%
Ⅲ 2
 
10.5%
CJK
ValueCountFrequency (%)
家 3
42.9%
休 1
 
14.3%
安 1
 
14.3%
濟 1
 
14.3%
洲 1
 
14.3%
None
ValueCountFrequency (%)
é 1
100.0%

소재지
Text

Distinct2962
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-12T05:06:32.025846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length16.857574
Min length5

Characters and Unicode

Total characters50303
Distinct characters255
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2940 ?
Unique (%)98.5%

Sample

1st row제주시 한림읍 한림로 345
2nd row제주시 한림읍 한림로 356
3rd row제주시 한림읍 한림로 338-1
4th row제주시 한림읍 협재4길 7-15
5th row제주시 한림읍 협재4길 7-7
ValueCountFrequency (%)
제주시 1698
 
15.3%
애월읍 658
 
5.9%
구좌읍 496
 
4.5%
한림읍 463
 
4.2%
제주특별자치도 400
 
3.6%
조천읍 398
 
3.6%
한경면 281
 
2.5%
해맞이해안로 81
 
0.7%
애월해안로 67
 
0.6%
우도면 63
 
0.6%
Other values (2802) 6485
58.5%
2023-12-12T05:06:32.730982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8112
 
16.1%
1 2546
 
5.1%
제 2227
 
4.4%
주 2223
 
4.4%
읍 2040
 
4.1%
길 1885
 
3.7%
2 1757
 
3.5%
시 1698
 
3.4%
- 1499
 
3.0%
로 1363
 
2.7%
Other values (245) 24953
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27924
55.5%
Decimal Number 11346
22.6%
Space Separator 8112
 
16.1%
Dash Punctuation 1499
 
3.0%
Open Punctuation 469
 
0.9%
Close Punctuation 469
 
0.9%
Other Punctuation 364
 
0.7%
Uppercase Letter 114
 
0.2%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 2227
 
8.0%
주 2223
 
8.0%
읍 2040
 
7.3%
길 1885
 
6.8%
시 1698
 
6.1%
로 1363
 
4.9%
동 1002
 
3.6%
월 924
 
3.3%
한 883
 
3.2%
애 779
 
2.8%
Other values (215) 12900
46.2%
Decimal Number
ValueCountFrequency (%)
1 2546
22.4%
2 1757
15.5%
3 1339
11.8%
4 1098
9.7%
5 952
 
8.4%
6 904
 
8.0%
7 760
 
6.7%
0 725
 
6.4%
8 671
 
5.9%
9 594
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 46
40.4%
A 40
35.1%
C 12
 
10.5%
D 8
 
7.0%
F 3
 
2.6%
G 2
 
1.8%
E 1
 
0.9%
O 1
 
0.9%
H 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
50.0%
b 1
25.0%
c 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 363
99.7%
. 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
∙ 1
50.0%
Space Separator
ValueCountFrequency (%)
8112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1499
100.0%
Open Punctuation
ValueCountFrequency (%)
( 469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 469
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27924
55.5%
Common 22261
44.3%
Latin 118
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 2227
 
8.0%
주 2223
 
8.0%
읍 2040
 
7.3%
길 1885
 
6.8%
시 1698
 
6.1%
로 1363
 
4.9%
동 1002
 
3.6%
월 924
 
3.3%
한 883
 
3.2%
애 779
 
2.8%
Other values (215) 12900
46.2%
Common
ValueCountFrequency (%)
8112
36.4%
1 2546
 
11.4%
2 1757
 
7.9%
- 1499
 
6.7%
3 1339
 
6.0%
4 1098
 
4.9%
5 952
 
4.3%
6 904
 
4.1%
7 760
 
3.4%
0 725
 
3.3%
Other values (8) 2569
 
11.5%
Latin
ValueCountFrequency (%)
B 46
39.0%
A 40
33.9%
C 12
 
10.2%
D 8
 
6.8%
F 3
 
2.5%
G 2
 
1.7%
a 2
 
1.7%
b 1
 
0.8%
E 1
 
0.8%
O 1
 
0.8%
Other values (2) 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27924
55.5%
ASCII 22378
44.5%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8112
36.2%
1 2546
 
11.4%
2 1757
 
7.9%
- 1499
 
6.7%
3 1339
 
6.0%
4 1098
 
4.9%
5 952
 
4.3%
6 904
 
4.0%
7 760
 
3.4%
0 725
 
3.2%
Other values (19) 2686
 
12.0%
Hangul
ValueCountFrequency (%)
제 2227
 
8.0%
주 2223
 
8.0%
읍 2040
 
7.3%
길 1885
 
6.8%
시 1698
 
6.1%
로 1363
 
4.9%
동 1002
 
3.6%
월 924
 
3.3%
한 883
 
3.2%
애 779
 
2.8%
Other values (215) 12900
46.2%
Math Operators
ValueCountFrequency (%)
∙ 1
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
20211123
2984 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20211123
2nd row20211123
3rd row20211123
4th row20211123
5th row20211123

Common Values

ValueCountFrequency (%)
20211123 2984
100.0%

Length

2023-12-12T05:06:32.888838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:06:32.990126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20211123 2984
100.0%

Missing values

2023-12-12T05:06:30.229527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:06:30.326917image/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

읍면동민박명소재지데이터기준일
0한림읍기영 민박제주시 한림읍 한림로 34520211123
1한림읍에너벨리제주시 한림읍 한림로 35620211123
2한림읍협재 빌리지제주시 한림읍 한림로 338-120211123
3한림읍해송민박제주시 한림읍 협재4길 7-1520211123
4한림읍영심 민박제주시 한림읍 협재4길 7-720211123
5한림읍원룸민박제주시 한림읍 비양도길 27520211123
6한림읍바다그리기제주시 한림읍 옹포2길 1620211123
7한림읍비양도 민박제주시 한림읍 비양도길 820211123
8한림읍해조대 민박제주시 한림읍 한림로 33920211123
9한림읍이쁜새민박제주시 한림읍 협재로 68-520211123
읍면동민박명소재지데이터기준일
2974동지역조이하우스 두번째이야기제주시 도두항서길 63(도두동)20211123
2975동지역루나인제주제주시 오래물길 10(도두동)20211123
2976동지역연동게스트하우스민박제주시 국기중길 14 2층20211123
2977동지역엘리스테이제주시 광평안길 40-120211123
2978동지역대박이네제주시 월대5길 2920211123
2979동지역화랑펜션2층집제주시 해안마을7다길 100-24(해안동)20211123
2980동지역김군빌리지 게스트하우스제주시 어영길 1-1(용담삼동)20211123
2981동지역도두봉팬션제주시 서해안로 224 2층20211123
2982동지역바다성펜션제주시 연대마을길 34-1(외도이동)20211123
2983동지역올레뷰제주시 서흘2길 9(삼양일동)20211123