Overview

Dataset statistics

Number of variables3
Number of observations289
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory24.5 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 (87.4%)Imbalance
놀이시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:06:18.535884
Analysis finished2024-04-06 08:06:19.118054
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

놀이시설명
Text

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-06T17:06:19.337739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length17.183391
Min length4

Characters and Unicode

Total characters4966
Distinct characters240
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

Unique289 ?
Unique (%)100.0%

Sample

1st row신안주공2차(2-1)아파트 - ②210동앞
2nd row대영아파트
3rd row이현덕산아파트
4th row하영무지개아파트
5th row초전일동아파트
ValueCountFrequency (%)
51
 
5.8%
43
 
4.9%
놀이터 38
 
4.4%
19
 
2.2%
18
 
2.1%
아파트 15
 
1.7%
101동 15
 
1.7%
유아놀이터 14
 
1.6%
14
 
1.6%
13
 
1.5%
Other values (338) 633
72.5%
2024-04-06T17:06:20.062130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
584
 
11.8%
271
 
5.5%
221
 
4.5%
1 219
 
4.4%
195
 
3.9%
192
 
3.9%
170
 
3.4%
161
 
3.2%
144
 
2.9%
0 133
 
2.7%
Other values (230) 2676
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3455
69.6%
Decimal Number 610
 
12.3%
Space Separator 584
 
11.8%
Close Punctuation 73
 
1.5%
Open Punctuation 73
 
1.5%
Dash Punctuation 62
 
1.2%
Uppercase Letter 50
 
1.0%
Other Number 42
 
0.8%
Other Punctuation 11
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
271
 
7.8%
221
 
6.4%
195
 
5.6%
192
 
5.6%
170
 
4.9%
161
 
4.7%
144
 
4.2%
123
 
3.6%
75
 
2.2%
68
 
2.0%
Other values (198) 1835
53.1%
Decimal Number
ValueCountFrequency (%)
1 219
35.9%
0 133
21.8%
2 95
15.6%
3 57
 
9.3%
4 34
 
5.6%
5 27
 
4.4%
8 18
 
3.0%
6 11
 
1.8%
7 8
 
1.3%
9 8
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
L 16
32.0%
H 13
26.0%
S 7
14.0%
A 5
 
10.0%
B 5
 
10.0%
C 1
 
2.0%
D 1
 
2.0%
E 1
 
2.0%
F 1
 
2.0%
Other Number
ValueCountFrequency (%)
17
40.5%
16
38.1%
5
 
11.9%
2
 
4.8%
1
 
2.4%
1
 
2.4%
Space Separator
ValueCountFrequency (%)
584
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
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 3455
69.6%
Common 1459
29.4%
Latin 52
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
271
 
7.8%
221
 
6.4%
195
 
5.6%
192
 
5.6%
170
 
4.9%
161
 
4.7%
144
 
4.2%
123
 
3.6%
75
 
2.2%
68
 
2.0%
Other values (198) 1835
53.1%
Common
ValueCountFrequency (%)
584
40.0%
1 219
 
15.0%
0 133
 
9.1%
2 95
 
6.5%
) 73
 
5.0%
( 73
 
5.0%
- 62
 
4.2%
3 57
 
3.9%
4 34
 
2.3%
5 27
 
1.9%
Other values (12) 102
 
7.0%
Latin
ValueCountFrequency (%)
L 16
30.8%
H 13
25.0%
S 7
13.5%
A 5
 
9.6%
B 5
 
9.6%
e 2
 
3.8%
C 1
 
1.9%
D 1
 
1.9%
E 1
 
1.9%
F 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3455
69.6%
ASCII 1469
29.6%
Enclosed Alphanum 42
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
584
39.8%
1 219
 
14.9%
0 133
 
9.1%
2 95
 
6.5%
) 73
 
5.0%
( 73
 
5.0%
- 62
 
4.2%
3 57
 
3.9%
4 34
 
2.3%
5 27
 
1.8%
Other values (16) 112
 
7.6%
Hangul
ValueCountFrequency (%)
271
 
7.8%
221
 
6.4%
195
 
5.6%
192
 
5.6%
170
 
4.9%
161
 
4.7%
144
 
4.2%
123
 
3.6%
75
 
2.2%
68
 
2.0%
Other values (198) 1835
53.1%
Enclosed Alphanum
ValueCountFrequency (%)
17
40.5%
16
38.1%
5
 
11.9%
2
 
4.8%
1
 
2.4%
1
 
2.4%

주소
Text

Distinct156
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-06T17:06:20.547200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length32.221453
Min length15

Characters and Unicode

Total characters9312
Distinct characters226
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

Unique92 ?
Unique (%)31.8%

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 289
 
16.7%
경상남도 279
 
16.1%
평거동 40
 
2.3%
가좌동 37
 
2.1%
충무공동 26
 
1.5%
초전동 23
 
1.3%
새평거로 23
 
1.3%
신안동 20
 
1.2%
사들로 19
 
1.1%
하대동 18
 
1.0%
Other values (382) 954
55.2%
2024-04-06T17:06:21.314810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1442
 
15.5%
415
 
4.5%
368
 
4.0%
329
 
3.5%
320
 
3.4%
319
 
3.4%
306
 
3.3%
302
 
3.2%
290
 
3.1%
( 270
 
2.9%
Other values (216) 4951
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6045
64.9%
Space Separator 1442
 
15.5%
Decimal Number 1038
 
11.1%
Open Punctuation 270
 
2.9%
Close Punctuation 270
 
2.9%
Other Punctuation 212
 
2.3%
Dash Punctuation 26
 
0.3%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
415
 
6.9%
368
 
6.1%
329
 
5.4%
320
 
5.3%
319
 
5.3%
306
 
5.1%
302
 
5.0%
290
 
4.8%
263
 
4.4%
167
 
2.8%
Other values (198) 2966
49.1%
Decimal Number
ValueCountFrequency (%)
1 243
23.4%
5 122
11.8%
2 114
11.0%
3 96
 
9.2%
0 91
 
8.8%
4 86
 
8.3%
9 75
 
7.2%
7 72
 
6.9%
8 71
 
6.8%
6 68
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
L 3
33.3%
F 3
33.3%
H 3
33.3%
Space Separator
ValueCountFrequency (%)
1442
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Other Punctuation
ValueCountFrequency (%)
, 212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6045
64.9%
Common 3258
35.0%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
415
 
6.9%
368
 
6.1%
329
 
5.4%
320
 
5.3%
319
 
5.3%
306
 
5.1%
302
 
5.0%
290
 
4.8%
263
 
4.4%
167
 
2.8%
Other values (198) 2966
49.1%
Common
ValueCountFrequency (%)
1442
44.3%
( 270
 
8.3%
) 270
 
8.3%
1 243
 
7.5%
, 212
 
6.5%
5 122
 
3.7%
2 114
 
3.5%
3 96
 
2.9%
0 91
 
2.8%
4 86
 
2.6%
Other values (5) 312
 
9.6%
Latin
ValueCountFrequency (%)
L 3
33.3%
F 3
33.3%
H 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6045
64.9%
ASCII 3267
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1442
44.1%
( 270
 
8.3%
) 270
 
8.3%
1 243
 
7.4%
, 212
 
6.5%
5 122
 
3.7%
2 114
 
3.5%
3 96
 
2.9%
0 91
 
2.8%
4 86
 
2.6%
Other values (8) 321
 
9.8%
Hangul
ValueCountFrequency (%)
415
 
6.9%
368
 
6.1%
329
 
5.4%
320
 
5.3%
319
 
5.3%
306
 
5.1%
302
 
5.0%
290
 
4.8%
263
 
4.4%
167
 
2.8%
Other values (198) 2966
49.1%

물놀이형놀이시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
미포함
284 
포함
 
5

Length

Max length3
Median length3
Mean length2.982699
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미포함 284
98.3%
포함 5
 
1.7%

Length

2024-04-06T17:06:21.579695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:06:21.771270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미포함 284
98.3%
포함 5
 
1.7%

Missing values

2024-04-06T17:06:18.918556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:06:19.065990image/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
2이현덕산아파트경상남도 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
279포레나 신진주 필로티A 놀이시설(101동 1, 2열)경상남도 진주시 진주역로96번길 15 (가좌동)미포함
280포레나 신진주 필로티B 놀이시설(101동 3, 4열)경상남도 진주시 진주역로96번길 15 (가좌동)미포함
281포레나 신진주 필로티C 놀이시설(102동 1, 2열)경상남도 진주시 진주역로96번길 15 (가좌동)미포함
282포레나 신진주 필로티D 놀이시설(102동 3, 4열)경상남도 진주시 진주역로96번길 15 (가좌동)미포함
283포레나 신진주 필로티E 놀이시설(103동 1, 2열)경상남도 진주시 진주역로96번길 15 (가좌동)미포함
284포레나 신진주 필로티F 놀이시설(103동 3, 4열)경상남도 진주시 진주역로96번길 15 (가좌동)미포함
285스카이시티프라디움 어린이놀이터1(잔디중앙광장)경상남도 진주시 개양로 100미포함
286스카이시티프라디움 어린이놀이터2(잔디중앙광장)경상남도 진주시 개양로 100포함
287스카이시티프라디움 유아놀이터(어린이집 앞)경상남도 진주시 개양로 100미포함
288스카이시티프라디움 유아놀이터2(어린이집 앞)경상남도 진주시 개양로 100미포함