Overview

Dataset statistics

Number of variables4
Number of observations313
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory32.4 B

Variable types

Categorical2
Text2

Dataset

Description제주특별자치도 제주시 관내 노인복지 읍면동별 경로당 현황 데이터입니다. 항목 : 읍면동, 경로당명, 소재지, 데이터기준일
URLhttps://www.data.go.kr/data/15056356/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
경로당명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:46:42.335694
Analysis finished2023-12-12 05:46:43.125589
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

Distinct25
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
애월읍
60 
조천읍
27 
한림읍
25 
한경면
22 
노형동
22 
Other values (20)
157 

Length

Max length4
Median length3
Mean length3.1533546
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
애월읍 60
19.2%
조천읍 27
 
8.6%
한림읍 25
 
8.0%
한경면 22
 
7.0%
노형동 22
 
7.0%
아라동 21
 
6.7%
이도2동 17
 
5.4%
일도2동 16
 
5.1%
화북동 14
 
4.5%
용담2동 11
 
3.5%
Other values (15) 78
24.9%

Length

2023-12-12T14:46:43.207396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
애월읍 60
19.2%
조천읍 27
 
8.6%
한림읍 25
 
8.0%
한경면 22
 
7.0%
노형동 22
 
7.0%
아라동 21
 
6.7%
이도2동 17
 
5.4%
일도2동 16
 
5.1%
화북동 14
 
4.5%
용담2동 11
 
3.5%
Other values (15) 78
24.9%

경로당명
Text

UNIQUE 

Distinct313
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T14:46:43.536199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.4536741
Min length2

Characters and Unicode

Total characters1394
Distinct characters222
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

Unique313 ?
Unique (%)100.0%

Sample

1st row협재리
2nd row귀덕1리
3rd row귀덕2리
4th row귀덕3리
5th row월림리
ValueCountFrequency (%)
우성apt 2
 
0.6%
하귀2리 2
 
0.6%
신천지 2
 
0.6%
협재리 1
 
0.3%
화북주공4단지 1
 
0.3%
청풍 1
 
0.3%
황사평 1
 
0.3%
화남 1
 
0.3%
삼양1동 1
 
0.3%
장머들 1
 
0.3%
Other values (307) 307
95.9%
2023-12-12T14:46:43.948606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 106
 
7.6%
동 69
 
4.9%
도 38
 
2.7%
1 36
 
2.6%
아 32
 
2.3%
2 31
 
2.2%
지 26
 
1.9%
파 24
 
1.7%
신 24
 
1.7%
A 23
 
1.6%
Other values (212) 985
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1208
86.7%
Uppercase Letter 87
 
6.2%
Decimal Number 83
 
6.0%
Space Separator 8
 
0.6%
Dash Punctuation 5
 
0.4%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 106
 
8.8%
동 69
 
5.7%
도 38
 
3.1%
아 32
 
2.6%
지 26
 
2.2%
파 24
 
2.0%
신 24
 
2.0%
수 23
 
1.9%
대 22
 
1.8%
트 21
 
1.7%
Other values (191) 823
68.1%
Uppercase Letter
ValueCountFrequency (%)
A 23
26.4%
P 23
26.4%
T 23
26.4%
H 4
 
4.6%
L 3
 
3.4%
C 2
 
2.3%
D 2
 
2.3%
J 2
 
2.3%
S 2
 
2.3%
F 1
 
1.1%
Other values (2) 2
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 36
43.4%
2 31
37.3%
3 12
 
14.5%
4 2
 
2.4%
5 2
 
2.4%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1208
86.7%
Common 97
 
7.0%
Latin 89
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 106
 
8.8%
동 69
 
5.7%
도 38
 
3.1%
아 32
 
2.6%
지 26
 
2.2%
파 24
 
2.0%
신 24
 
2.0%
수 23
 
1.9%
대 22
 
1.8%
트 21
 
1.7%
Other values (191) 823
68.1%
Latin
ValueCountFrequency (%)
A 23
25.8%
P 23
25.8%
T 23
25.8%
H 4
 
4.5%
L 3
 
3.4%
C 2
 
2.2%
D 2
 
2.2%
J 2
 
2.2%
S 2
 
2.2%
e 2
 
2.2%
Other values (3) 3
 
3.4%
Common
ValueCountFrequency (%)
1 36
37.1%
2 31
32.0%
3 12
 
12.4%
8
 
8.2%
- 5
 
5.2%
4 2
 
2.1%
5 2
 
2.1%
, 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1208
86.7%
ASCII 186
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 106
 
8.8%
동 69
 
5.7%
도 38
 
3.1%
아 32
 
2.6%
지 26
 
2.2%
파 24
 
2.0%
신 24
 
2.0%
수 23
 
1.9%
대 22
 
1.8%
트 21
 
1.7%
Other values (191) 823
68.1%
ASCII
ValueCountFrequency (%)
1 36
19.4%
2 31
16.7%
A 23
12.4%
P 23
12.4%
T 23
12.4%
3 12
 
6.5%
8
 
4.3%
- 5
 
2.7%
H 4
 
2.2%
L 3
 
1.6%
Other values (11) 18
9.7%

소재지
Text

UNIQUE 

Distinct313
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T14:46:44.346414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length25.309904
Min length21

Characters and Unicode

Total characters7922
Distinct characters185
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

Unique313 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 한림읍 한림로 400-7
2nd row제주특별자치도 제주시 한림읍 귀덕로 97-4
3rd row제주특별자치도 제주시 한림읍 귀덕3길 40
4th row제주특별자치도 제주시 한림읍 한수풀로 337
5th row제주특별자치도 제주시 한림읍 중산간서로 3876
ValueCountFrequency (%)
제주특별자치도 313
19.9%
제주시 313
19.9%
애월읍 35
 
2.2%
조천읍 27
 
1.7%
구좌읍 25
 
1.6%
한림읍 25
 
1.6%
한경면 22
 
1.4%
노형동 20
 
1.3%
일도이동 15
 
1.0%
3 11
 
0.7%
Other values (512) 764
48.7%
2023-12-12T14:46:44.874732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1271
 
16.0%
주 634
 
8.0%
제 628
 
7.9%
도 396
 
5.0%
자 324
 
4.1%
별 314
 
4.0%
특 313
 
4.0%
치 313
 
4.0%
시 313
 
4.0%
1 223
 
2.8%
Other values (175) 3193
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5314
67.1%
Space Separator 1271
 
16.0%
Decimal Number 927
 
11.7%
Close Punctuation 171
 
2.2%
Open Punctuation 171
 
2.2%
Dash Punctuation 58
 
0.7%
Other Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 634
 
11.9%
제 628
 
11.8%
도 396
 
7.5%
자 324
 
6.1%
별 314
 
5.9%
특 313
 
5.9%
치 313
 
5.9%
시 313
 
5.9%
동 209
 
3.9%
길 192
 
3.6%
Other values (159) 1678
31.6%
Decimal Number
ValueCountFrequency (%)
1 223
24.1%
2 143
15.4%
3 115
12.4%
4 89
 
9.6%
5 79
 
8.5%
0 64
 
6.9%
7 64
 
6.9%
6 59
 
6.4%
9 47
 
5.1%
8 44
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5314
67.1%
Common 2608
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 634
 
11.9%
제 628
 
11.8%
도 396
 
7.5%
자 324
 
6.1%
별 314
 
5.9%
특 313
 
5.9%
치 313
 
5.9%
시 313
 
5.9%
동 209
 
3.9%
길 192
 
3.6%
Other values (159) 1678
31.6%
Common
ValueCountFrequency (%)
1271
48.7%
1 223
 
8.6%
) 171
 
6.6%
( 171
 
6.6%
2 143
 
5.5%
3 115
 
4.4%
4 89
 
3.4%
5 79
 
3.0%
0 64
 
2.5%
7 64
 
2.5%
Other values (6) 218
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5314
67.1%
ASCII 2608
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1271
48.7%
1 223
 
8.6%
) 171
 
6.6%
( 171
 
6.6%
2 143
 
5.5%
3 115
 
4.4%
4 89
 
3.4%
5 79
 
3.0%
0 64
 
2.5%
7 64
 
2.5%
Other values (6) 218
 
8.4%
Hangul
ValueCountFrequency (%)
주 634
 
11.9%
제 628
 
11.8%
도 396
 
7.5%
자 324
 
6.1%
별 314
 
5.9%
특 313
 
5.9%
치 313
 
5.9%
시 313
 
5.9%
동 209
 
3.9%
길 192
 
3.6%
Other values (159) 1678
31.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2022-12-31
313 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 313
100.0%

Length

2023-12-12T14:46:44.999786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:45.100172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 313
100.0%

Missing values

2023-12-12T14:46:42.972030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:46:43.080270image/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

읍면동경로당명소재지데이터기준일자
0한림읍협재리제주특별자치도 제주시 한림읍 한림로 400-72022-12-31
1한림읍귀덕1리제주특별자치도 제주시 한림읍 귀덕로 97-42022-12-31
2한림읍귀덕2리제주특별자치도 제주시 한림읍 귀덕3길 402022-12-31
3한림읍귀덕3리제주특별자치도 제주시 한림읍 한수풀로 3372022-12-31
4한림읍월림리제주특별자치도 제주시 한림읍 중산간서로 38762022-12-31
5한림읍상명리제주특별자치도 제주시 한림읍 상명1길 16-12022-12-31
6한림읍금능리제주특별자치도 제주시 한림읍 금능길 392022-12-31
7한림읍동명리제주특별자치도 제주시 한림읍 한림중앙로 622022-12-31
8한림읍강구리제주특별자치도 제주시 한림읍 강구로 922022-12-31
9한림읍한수리제주특별자치도 제주시 한림읍 한림로 7412022-12-31
읍면동경로당명소재지데이터기준일자
303외도동외도2차부영아파트제주특별자치도 제주시 우평로 318 (외도일동)2022-12-31
304이호동현사마을제주특별자치도 제주시 현사안길 26 (이호일동)2022-12-31
305이호동오도롱제주특별자치도 제주시 오도길 31 (이호이동)2022-12-31
306이호동동마을제주특별자치도 제주시 백포동길 24 (이호일동)2022-12-31
307이호동백포제주특별자치도 제주시 백포서길 5 (이호일동)2022-12-31
308도두동도두1동제주특별자치도 제주시 도두3길 52 (도두일동)2022-12-31
309도두동다호제주특별자치도 제주시 다호5길 3 (도두이동)2022-12-31
310도두동신성마을제주특별자치도 제주시 신성마을길 26-7 (도두이동)2022-12-31
311도두동신사수제주특별자치도 제주시 서해안로 283 (도두이동)2022-12-31
312도두동효동마을제주특별자치도 제주시 도두봉2길 37 (도두일동)2022-12-31