Overview

Dataset statistics

Number of variables5
Number of observations212
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory40.6 B

Variable types

Categorical4
Text1

Dataset

Description제주특별자치도 제주시 공동주택 내 어린이 놀이 시설 현황 데이터입니다. 항목 : 시도, 단지명, 설치장소, 운영주체 등
URLhttps://www.data.go.kr/data/15056198/fileData.do

Alerts

시도 has constant value ""Constant
설치장소 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영주체 is highly imbalanced (83.9%)Imbalance
단지명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:14:28.706928
Analysis finished2023-12-12 00:14:29.014680
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
제주시
212 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 212
100.0%

Length

2023-12-12T09:14:29.062854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:14:29.134238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 212
100.0%

단지명
Text

UNIQUE 

Distinct212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T09:14:29.326381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length16.231132
Min length5

Characters and Unicode

Total characters3441
Distinct characters234
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)100.0%

Sample

1st row노형중흥S클래스
2nd row노형대림이편한세상
3rd row뜨란채아파트 204동옆
4th row뜨란채아파트 212동앞
5th row뜨란채아파트 218동앞
ValueCountFrequency (%)
앞 27
 
4.7%
놀이시설 26
 
4.5%
놀이터 25
 
4.3%
어린이놀이터 18
 
3.1%
1놀이터 11
 
1.9%
옆 10
 
1.7%
2놀이터 10
 
1.7%
제주 9
 
1.6%
어린이놀이시설 9
 
1.6%
뒤 8
 
1.4%
Other values (269) 424
73.5%
2023-12-12T09:14:29.662570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
365
 
10.6%
이 225
 
6.5%
아 173
 
5.0%
놀 152
 
4.4%
파 134
 
3.9%
트 132
 
3.8%
터 110
 
3.2%
1 110
 
3.2%
동 90
 
2.6%
2 88
 
2.6%
Other values (224) 1862
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2573
74.8%
Decimal Number 389
 
11.3%
Space Separator 365
 
10.6%
Uppercase Letter 42
 
1.2%
Close Punctuation 30
 
0.9%
Open Punctuation 30
 
0.9%
Other Punctuation 6
 
0.2%
Dash Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 225
 
8.7%
아 173
 
6.7%
놀 152
 
5.9%
파 134
 
5.2%
트 132
 
5.1%
터 110
 
4.3%
동 90
 
3.5%
주 69
 
2.7%
지 65
 
2.5%
린 59
 
2.3%
Other values (198) 1364
53.0%
Decimal Number
ValueCountFrequency (%)
1 110
28.3%
2 88
22.6%
0 76
19.5%
3 45
11.6%
4 18
 
4.6%
5 14
 
3.6%
9 11
 
2.8%
6 10
 
2.6%
8 9
 
2.3%
7 8
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
H 11
26.2%
L 7
16.7%
A 7
16.7%
N 4
 
9.5%
C 4
 
9.5%
F 3
 
7.1%
S 3
 
7.1%
K 2
 
4.8%
B 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2573
74.8%
Common 823
 
23.9%
Latin 45
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 225
 
8.7%
아 173
 
6.7%
놀 152
 
5.9%
파 134
 
5.2%
트 132
 
5.1%
터 110
 
4.3%
동 90
 
3.5%
주 69
 
2.7%
지 65
 
2.5%
린 59
 
2.3%
Other values (198) 1364
53.0%
Common
ValueCountFrequency (%)
365
44.3%
1 110
 
13.4%
2 88
 
10.7%
0 76
 
9.2%
3 45
 
5.5%
) 30
 
3.6%
( 30
 
3.6%
4 18
 
2.2%
5 14
 
1.7%
9 11
 
1.3%
Other values (6) 36
 
4.4%
Latin
ValueCountFrequency (%)
H 11
24.4%
L 7
15.6%
A 7
15.6%
N 4
 
8.9%
C 4
 
8.9%
F 3
 
6.7%
e 3
 
6.7%
S 3
 
6.7%
K 2
 
4.4%
B 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2573
74.8%
ASCII 868
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
365
42.1%
1 110
 
12.7%
2 88
 
10.1%
0 76
 
8.8%
3 45
 
5.2%
) 30
 
3.5%
( 30
 
3.5%
4 18
 
2.1%
5 14
 
1.6%
H 11
 
1.3%
Other values (16) 81
 
9.3%
Hangul
ValueCountFrequency (%)
이 225
 
8.7%
아 173
 
6.7%
놀 152
 
5.9%
파 134
 
5.2%
트 132
 
5.1%
터 110
 
4.3%
동 90
 
3.5%
주 69
 
2.7%
지 65
 
2.5%
린 59
 
2.3%
Other values (198) 1364
53.0%

설치장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
주택단지
212 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 212
100.0%

Length

2023-12-12T09:14:29.762305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:14:29.836207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택단지 212
100.0%

운영주체
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
민간
207 
공공
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 207
97.6%
공공 5
 
2.4%

Length

2023-12-12T09:14:29.915997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:14:29.992140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 207
97.6%
공공 5
 
2.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-02-15
212 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-15
2nd row2023-02-15
3rd row2023-02-15
4th row2023-02-15
5th row2023-02-15

Common Values

ValueCountFrequency (%)
2023-02-15 212
100.0%

Length

2023-12-12T09:14:30.075911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:14:30.148893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-15 212
100.0%

Missing values

2023-12-12T09:14:28.888334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:14:28.981617image/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

시도단지명설치장소운영주체데이터기준일자
0제주시노형중흥S클래스주택단지민간2023-02-15
1제주시노형대림이편한세상주택단지민간2023-02-15
2제주시뜨란채아파트 204동옆주택단지민간2023-02-15
3제주시뜨란채아파트 212동앞주택단지민간2023-02-15
4제주시뜨란채아파트 218동앞주택단지민간2023-02-15
5제주시뜨란채아파트 208동앞주택단지민간2023-02-15
6제주시뜨란채아파트 관리동옆주택단지민간2023-02-15
7제주시정든마을 1단지 1놀이터주택단지민간2023-02-15
8제주시정든마을 1단지 2놀이터주택단지민간2023-02-15
9제주시정든마을 1단지 3놀이터주택단지민간2023-02-15
시도단지명설치장소운영주체데이터기준일자
202제주시제주효성해링턴코트 1차 어린이놀이시설주택단지민간2023-02-15
203제주시제주효성해링턴코트 2차 어린이놀이시설주택단지민간2023-02-15
204제주시제주에듀루치올라아파트 어린이놀이터(102동앞)주택단지민간2023-02-15
205제주시효성해링턴코트2차 실내놀이시설주택단지민간2023-02-15
206제주시마린빌2차아파트 어린이놀이터주택단지공공2023-02-15
207제주시도련 신일 해피트리 주택단지 107동 옆주택단지민간2023-02-15
208제주시도련 신일 해피트리 주택단지 112동 옆주택단지민간2023-02-15
209제주시노형휴안5차 어린이놀이터주택단지민간2023-02-15
210제주시이안더프리미스노형 주택단지 102동 뒤주택단지민간2023-02-15
211제주시이안더프리미스노형 주택단지 105동 뒤주택단지민간2023-02-15