Overview

Dataset statistics

Number of variables3
Number of observations314
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory24.4 B

Variable types

Text2
Categorical1

Dataset

Description경상남도 진주시 공동주택단지내 어린이 놀이시설현황입니다. 데이터 세부내역에는 놀이시설명, 우편번호, 주소, 물놀이형놀이시설, 설치장소의 데이터를 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15069855

Alerts

물놀이형놀이시설 is highly imbalanced (82.9%)Imbalance
놀이시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:06:13.572398
Analysis finished2024-04-06 08:06:14.202583
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

놀이시설명
Text

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-06T17:06:14.590184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length31
Mean length18.343949
Min length4

Characters and Unicode

Total characters5760
Distinct characters250
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)100.0%

Sample

1st row신안주공2차(2-1)아파트 - ②210동앞
2nd row대영아파트
3rd row진주덕산아파트 놀이시설
4th row하영무지개아파트
5th row초전일동아파트
ValueCountFrequency (%)
65
 
6.5%
43
 
4.3%
놀이터 39
 
3.9%
22
 
2.2%
20
 
2.0%
어린이놀이터 20
 
2.0%
유아놀이터 18
 
1.8%
101동 18
 
1.8%
아파트 15
 
1.5%
중흥s클래스 14
 
1.4%
Other values (376) 726
72.6%
2024-04-06T17:06:15.282245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
686
 
11.9%
314
 
5.5%
1 239
 
4.1%
235
 
4.1%
210
 
3.6%
201
 
3.5%
197
 
3.4%
182
 
3.2%
170
 
3.0%
0 153
 
2.7%
Other values (240) 3173
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3995
69.4%
Decimal Number 695
 
12.1%
Space Separator 686
 
11.9%
Uppercase Letter 95
 
1.6%
Close Punctuation 82
 
1.4%
Open Punctuation 82
 
1.4%
Dash Punctuation 66
 
1.1%
Other Number 42
 
0.7%
Other Punctuation 11
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
314
 
7.9%
235
 
5.9%
210
 
5.3%
201
 
5.0%
197
 
4.9%
182
 
4.6%
170
 
4.3%
153
 
3.8%
95
 
2.4%
94
 
2.4%
Other values (208) 2144
53.7%
Decimal Number
ValueCountFrequency (%)
1 239
34.4%
0 153
22.0%
2 112
16.1%
3 62
 
8.9%
4 40
 
5.8%
5 28
 
4.0%
8 21
 
3.0%
6 17
 
2.4%
9 14
 
2.0%
7 9
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
L 29
30.5%
S 19
20.0%
H 19
20.0%
B 12
12.6%
C 8
 
8.4%
A 5
 
5.3%
D 1
 
1.1%
E 1
 
1.1%
F 1
 
1.1%
Other Number
ValueCountFrequency (%)
17
40.5%
16
38.1%
5
 
11.9%
2
 
4.8%
1
 
2.4%
1
 
2.4%
Space Separator
ValueCountFrequency (%)
686
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3995
69.4%
Common 1668
29.0%
Latin 97
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
314
 
7.9%
235
 
5.9%
210
 
5.3%
201
 
5.0%
197
 
4.9%
182
 
4.6%
170
 
4.3%
153
 
3.8%
95
 
2.4%
94
 
2.4%
Other values (208) 2144
53.7%
Common
ValueCountFrequency (%)
686
41.1%
1 239
 
14.3%
0 153
 
9.2%
2 112
 
6.7%
) 82
 
4.9%
( 82
 
4.9%
- 66
 
4.0%
3 62
 
3.7%
4 40
 
2.4%
5 28
 
1.7%
Other values (12) 118
 
7.1%
Latin
ValueCountFrequency (%)
L 29
29.9%
S 19
19.6%
H 19
19.6%
B 12
12.4%
C 8
 
8.2%
A 5
 
5.2%
e 2
 
2.1%
D 1
 
1.0%
E 1
 
1.0%
F 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3995
69.4%
ASCII 1723
29.9%
Enclosed Alphanum 42
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
686
39.8%
1 239
 
13.9%
0 153
 
8.9%
2 112
 
6.5%
) 82
 
4.8%
( 82
 
4.8%
- 66
 
3.8%
3 62
 
3.6%
4 40
 
2.3%
L 29
 
1.7%
Other values (16) 172
 
10.0%
Hangul
ValueCountFrequency (%)
314
 
7.9%
235
 
5.9%
210
 
5.3%
201
 
5.0%
197
 
4.9%
182
 
4.6%
170
 
4.3%
153
 
3.8%
95
 
2.4%
94
 
2.4%
Other values (208) 2144
53.7%
Enclosed Alphanum
ValueCountFrequency (%)
17
40.5%
16
38.1%
5
 
11.9%
2
 
4.8%
1
 
2.4%
1
 
2.4%

주소
Text

Distinct168
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-06T17:06:15.922002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length31.038217
Min length13

Characters and Unicode

Total characters9746
Distinct characters238
Distinct categories8 ?
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 (%)30.9%

Sample

1st row경상남도 진주시 신안들말길 17 (신안동, 주공1차아파트)
2nd row경상남도 진주시 말티고개로 102-5 (하대동, 하대대영아파트)
3rd row경상남도 진주시 서장대로178번길 17 (이현동, 진주덕산아파트)
4th row경상남도 진주시 진양호로 153 (평거동, 하영무지개맨션)
5th row경상남도 진주시 초전북로 20 (초전동, 초전일동아파트)
ValueCountFrequency (%)
진주시 315
 
17.3%
경상남도 309
 
17.0%
평거동 41
 
2.2%
가좌동 40
 
2.2%
충무공동 29
 
1.6%
초전동 23
 
1.3%
새평거로 23
 
1.3%
신안동 21
 
1.2%
금산면 18
 
1.0%
하대동 17
 
0.9%
Other values (393) 987
54.1%
2024-04-06T17:06:16.799103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1509
 
15.5%
448
 
4.6%
403
 
4.1%
355
 
3.6%
349
 
3.6%
345
 
3.5%
338
 
3.5%
334
 
3.4%
315
 
3.2%
( 266
 
2.7%
Other values (228) 5084
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6359
65.2%
Space Separator 1509
 
15.5%
Decimal Number 1087
 
11.2%
Open Punctuation 266
 
2.7%
Close Punctuation 266
 
2.7%
Other Punctuation 209
 
2.1%
Dash Punctuation 28
 
0.3%
Uppercase Letter 22
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
448
 
7.0%
403
 
6.3%
355
 
5.6%
349
 
5.5%
345
 
5.4%
338
 
5.3%
334
 
5.3%
315
 
5.0%
246
 
3.9%
167
 
2.6%
Other values (205) 3059
48.1%
Decimal Number
ValueCountFrequency (%)
1 240
22.1%
2 138
12.7%
5 126
11.6%
3 106
9.8%
4 87
 
8.0%
9 86
 
7.9%
0 83
 
7.6%
7 78
 
7.2%
6 77
 
7.1%
8 66
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
22.7%
Y 4
18.2%
K 4
18.2%
L 3
13.6%
H 3
13.6%
A 1
 
4.5%
B 1
 
4.5%
F 1
 
4.5%
Space Separator
ValueCountFrequency (%)
1509
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Other Punctuation
ValueCountFrequency (%)
, 209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6359
65.2%
Common 3365
34.5%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
448
 
7.0%
403
 
6.3%
355
 
5.6%
349
 
5.5%
345
 
5.4%
338
 
5.3%
334
 
5.3%
315
 
5.0%
246
 
3.9%
167
 
2.6%
Other values (205) 3059
48.1%
Common
ValueCountFrequency (%)
1509
44.8%
( 266
 
7.9%
) 266
 
7.9%
1 240
 
7.1%
, 209
 
6.2%
2 138
 
4.1%
5 126
 
3.7%
3 106
 
3.2%
4 87
 
2.6%
9 86
 
2.6%
Other values (5) 332
 
9.9%
Latin
ValueCountFrequency (%)
S 5
22.7%
Y 4
18.2%
K 4
18.2%
L 3
13.6%
H 3
13.6%
A 1
 
4.5%
B 1
 
4.5%
F 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6359
65.2%
ASCII 3387
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1509
44.6%
( 266
 
7.9%
) 266
 
7.9%
1 240
 
7.1%
, 209
 
6.2%
2 138
 
4.1%
5 126
 
3.7%
3 106
 
3.1%
4 87
 
2.6%
9 86
 
2.5%
Other values (13) 354
 
10.5%
Hangul
ValueCountFrequency (%)
448
 
7.0%
403
 
6.3%
355
 
5.6%
349
 
5.5%
345
 
5.4%
338
 
5.3%
334
 
5.3%
315
 
5.0%
246
 
3.9%
167
 
2.6%
Other values (205) 3059
48.1%

물놀이형놀이시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
미포함
306 
포함
 
8

Length

Max length3
Median length3
Mean length2.9745223
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미포함 306
97.5%
포함 8
 
2.5%

Length

2024-04-06T17:06:17.054673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:06:17.257919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미포함 306
97.5%
포함 8
 
2.5%

Missing values

2024-04-06T17:06:13.997880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:06:14.141603image/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

놀이시설명주소물놀이형놀이시설
0신안주공2차(2-1)아파트 - ②210동앞경상남도 진주시 신안들말길 17 (신안동, 주공1차아파트)미포함
1대영아파트경상남도 진주시 말티고개로 102-5 (하대동, 하대대영아파트)미포함
2진주덕산아파트 놀이시설경상남도 진주시 서장대로178번길 17 (이현동, 진주덕산아파트)미포함
3하영무지개아파트경상남도 진주시 진양호로 153 (평거동, 하영무지개맨션)미포함
4초전일동아파트경상남도 진주시 초전북로 20 (초전동, 초전일동아파트)미포함
5대경빌라트아파트경상남도 진주시 가호로 79 (호탄동, 대경빌라트)미포함
6일신아파트 어린이놀이시설경상남도 진주시 하대로34번길 10 (하대동, 일신아파트)미포함
7평거주공1차아파트경상남도 진주시 진양호로185번길 7 (평거동, 주공1차아파트)미포함
8망경한주맨션경상남도 진주시 망경북길 53 (망경동, 망경한주맨션)미포함
9촉석아파트경상남도 진주시 솔밭로92번길 5 (상평동, 촉석맨션)미포함
놀이시설명주소물놀이형놀이시설
304신진주역세권프리미어웰가 101동 어린이놀이터2경상남도 진주시 개양로 67 (가좌동)신진주역세권프리미어웰가미포함
305신진주역세권프리미어웰가 103동 유아놀이터경상남도 진주시 개양로 67 (가좌동)신진주역세권프리미어웰가미포함
306프리미어 웰가 키즈존경상남도 진주시 가좌동160-4 프리미어 웰가 커뮤니티 B 2F 키즈존미포함
307한보하이타운아파트경상남도 진주시 평거동 301-1미포함
308흥한스위트 주상복합(4층옥상)경상남도 진주시 신안동 14-2미포함
309현대성우트리펠리스아파트 어린이놀이시설경상남도 진주시 진주대로879번길 19 (주약동, 현대성우트리팰리스)미포함
310스카이시티프라디움 어린이놀이터1(잔디중앙광장)경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)미포함
311스카이시티프라디움 어린이놀이터2(잔디중앙광장)경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)포함
312스카이시티프라디움 유아놀이터(어린이집 앞)경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)미포함
313스카이시티프라디움 유아놀이터2(어린이집 앞)경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)미포함