Overview

Dataset statistics

Number of variables5
Number of observations455
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.3 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description안양시 공동주택 단지 내 어린이놀이시설 현황입니다. 시설번호, 놀이시설명, 주소, 설치장소, 설치일자 등의 데이터를 제공 합니다. ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15086445?url=https%3A//www.anyang.go.kr/main/selectBbsNttView.do%3Fkey%3D194%26bbsNo%3D34%26nttNo%3D312568%26searchCtgry%3D%26searchKrwd%3D%25EA%25B3%25B5%25EB%258F%2599%25EC%25A3%25BC%25ED%2583%259D%26pageIndex%3D1%26integrDeptCode%3D&version=d7)](https://www.data.go.kr/data/15086445/fileData.do)
URLhttps://www.data.go.kr/data/15086445/fileData.do

Alerts

설치장소 has constant value ""Constant
시설번호 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:08:47.197883
Analysis finished2023-12-12 06:08:47.816471
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

UNIQUE 

Distinct455
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429428.84
Minimum623
Maximum584371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T15:08:47.918777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum623
5-th percentile1578.4
Q1504565.5
median505373
Q3542065.5
95-th percentile579698.3
Maximum584371
Range583748
Interquartile range (IQR)37500

Descriptive statistics

Standard deviation205301.34
Coefficient of variation (CV)0.47808
Kurtosis0.27064317
Mean429428.84
Median Absolute Deviation (MAD)33202
Skewness-1.4751396
Sum1.9539012 × 108
Variance4.214864 × 1010
MonotonicityStrictly increasing
2023-12-12T15:08:48.108852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
623 1
 
0.2%
538368 1
 
0.2%
535854 1
 
0.2%
535853 1
 
0.2%
534010 1
 
0.2%
533553 1
 
0.2%
532591 1
 
0.2%
532590 1
 
0.2%
532468 1
 
0.2%
532467 1
 
0.2%
Other values (445) 445
97.8%
ValueCountFrequency (%)
623 1
0.2%
624 1
0.2%
625 1
0.2%
626 1
0.2%
708 1
0.2%
709 1
0.2%
710 1
0.2%
749 1
0.2%
947 1
0.2%
1113 1
0.2%
ValueCountFrequency (%)
584371 1
0.2%
583571 1
0.2%
583570 1
0.2%
583569 1
0.2%
583568 1
0.2%
581978 1
0.2%
581335 1
0.2%
581334 1
0.2%
581198 1
0.2%
581197 1
0.2%

시설명
Text

UNIQUE 

Distinct455
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T15:08:48.387090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length17.189011
Min length5

Characters and Unicode

Total characters7821
Distinct characters260
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique455 ?
Unique (%)100.0%

Sample

1st row평촌부영2차아파트306동옆 놀이터
2nd row평촌부영2차아파트307동옆 놀이터
3rd row평촌부영2차아파트312동앞 놀이터
4th row평촌부영2차아파트관리동옆놀이터
5th row꿈마을 라이프 106동 앞 놀이터
ValueCountFrequency (%)
놀이터 108
 
9.4%
앞 63
 
5.5%
옆 61
 
5.3%
어린이놀이터 36
 
3.1%
평촌 17
 
1.5%
안양 16
 
1.4%
석수 16
 
1.4%
관양동 16
 
1.4%
아파트 15
 
1.3%
뒤 12
 
1.0%
Other values (513) 791
68.7%
2023-12-12T15:08:48.816702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
696
 
8.9%
아 392
 
5.0%
트 389
 
5.0%
이 384
 
4.9%
동 379
 
4.8%
파 360
 
4.6%
1 335
 
4.3%
놀 249
 
3.2%
터 245
 
3.1%
0 231
 
3.0%
Other values (250) 4161
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5611
71.7%
Decimal Number 1021
 
13.1%
Space Separator 696
 
8.9%
Close Punctuation 202
 
2.6%
Open Punctuation 202
 
2.6%
Uppercase Letter 49
 
0.6%
Lowercase Letter 12
 
0.2%
Other Punctuation 12
 
0.2%
Math Symbol 6
 
0.1%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 392
 
7.0%
트 389
 
6.9%
이 384
 
6.8%
동 379
 
6.8%
파 360
 
6.4%
놀 249
 
4.4%
터 245
 
4.4%
양 127
 
2.3%
안 114
 
2.0%
앞 104
 
1.9%
Other values (220) 2868
51.1%
Decimal Number
ValueCountFrequency (%)
1 335
32.8%
0 231
22.6%
2 130
 
12.7%
3 93
 
9.1%
4 58
 
5.7%
5 52
 
5.1%
6 35
 
3.4%
8 34
 
3.3%
7 33
 
3.2%
9 20
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
L 7
14.3%
I 7
14.3%
G 6
12.2%
A 6
12.2%
K 6
12.2%
P 6
12.2%
R 6
12.2%
H 2
 
4.1%
D 2
 
4.1%
B 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
' 6
50.0%
, 4
33.3%
. 2
 
16.7%
Space Separator
ValueCountFrequency (%)
696
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5611
71.7%
Common 2149
 
27.5%
Latin 61
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 392
 
7.0%
트 389
 
6.9%
이 384
 
6.8%
동 379
 
6.8%
파 360
 
6.4%
놀 249
 
4.4%
터 245
 
4.4%
양 127
 
2.3%
안 114
 
2.0%
앞 104
 
1.9%
Other values (220) 2868
51.1%
Common
ValueCountFrequency (%)
696
32.4%
1 335
15.6%
0 231
 
10.7%
) 202
 
9.4%
( 202
 
9.4%
2 130
 
6.0%
3 93
 
4.3%
4 58
 
2.7%
5 52
 
2.4%
6 35
 
1.6%
Other values (9) 115
 
5.4%
Latin
ValueCountFrequency (%)
e 12
19.7%
L 7
11.5%
I 7
11.5%
G 6
9.8%
A 6
9.8%
K 6
9.8%
P 6
9.8%
R 6
9.8%
H 2
 
3.3%
D 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5611
71.7%
ASCII 2210
 
28.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
696
31.5%
1 335
15.2%
0 231
 
10.5%
) 202
 
9.1%
( 202
 
9.1%
2 130
 
5.9%
3 93
 
4.2%
4 58
 
2.6%
5 52
 
2.4%
6 35
 
1.6%
Other values (20) 176
 
8.0%
Hangul
ValueCountFrequency (%)
아 392
 
7.0%
트 389
 
6.9%
이 384
 
6.8%
동 379
 
6.8%
파 360
 
6.4%
놀 249
 
4.4%
터 245
 
4.4%
양 127
 
2.3%
안 114
 
2.0%
앞 104
 
1.9%
Other values (220) 2868
51.1%

시설주소
Text

Distinct235
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T15:08:49.119291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length35.608791
Min length17

Characters and Unicode

Total characters16202
Distinct characters233
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)27.0%

Sample

1st row경기도 안양시 동안구 관평로212번길 15 (관양동)
2nd row경기도 안양시 동안구 관평로212번길 15 (관양동)
3rd row경기도 안양시 동안구 관평로212번길 15 (관양동)
4th row경기도 안양시 동안구 관평로212번길 15 (관양동)
5th row경기도 안양시 동안구 귀인로 258 (평촌동, 꿈마을라이프아파트)
ValueCountFrequency (%)
안양시 463
 
14.3%
경기도 452
 
13.9%
동안구 281
 
8.7%
만안구 182
 
5.6%
호계동 93
 
2.9%
안양동 81
 
2.5%
비산동 79
 
2.4%
석수동 56
 
1.7%
관양동 52
 
1.6%
평촌동 52
 
1.6%
Other values (468) 1456
44.8%
2023-12-12T15:08:49.536165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2792
 
17.2%
안 1180
 
7.3%
동 830
 
5.1%
양 706
 
4.4%
경 555
 
3.4%
시 477
 
2.9%
구 466
 
2.9%
도 464
 
2.9%
기 462
 
2.9%
( 453
 
2.8%
Other values (223) 7817
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10403
64.2%
Space Separator 2792
 
17.2%
Decimal Number 1672
 
10.3%
Open Punctuation 453
 
2.8%
Close Punctuation 453
 
2.8%
Other Punctuation 384
 
2.4%
Dash Punctuation 34
 
0.2%
Lowercase Letter 9
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 1180
 
11.3%
동 830
 
8.0%
양 706
 
6.8%
경 555
 
5.3%
시 477
 
4.6%
구 466
 
4.5%
도 464
 
4.5%
기 462
 
4.4%
로 449
 
4.3%
아 315
 
3.0%
Other values (204) 4499
43.2%
Decimal Number
ValueCountFrequency (%)
1 351
21.0%
2 233
13.9%
3 201
12.0%
5 160
9.6%
0 134
 
8.0%
4 133
 
8.0%
7 128
 
7.7%
8 118
 
7.1%
6 118
 
7.1%
9 96
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 382
99.5%
， 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
2792
100.0%
Open Punctuation
ValueCountFrequency (%)
( 453
100.0%
Close Punctuation
ValueCountFrequency (%)
) 453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10403
64.2%
Common 5788
35.7%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1180
 
11.3%
동 830
 
8.0%
양 706
 
6.8%
경 555
 
5.3%
시 477
 
4.6%
구 466
 
4.5%
도 464
 
4.5%
기 462
 
4.4%
로 449
 
4.3%
아 315
 
3.0%
Other values (204) 4499
43.2%
Common
ValueCountFrequency (%)
2792
48.2%
( 453
 
7.8%
) 453
 
7.8%
, 382
 
6.6%
1 351
 
6.1%
2 233
 
4.0%
3 201
 
3.5%
5 160
 
2.8%
0 134
 
2.3%
4 133
 
2.3%
Other values (6) 496
 
8.6%
Latin
ValueCountFrequency (%)
e 9
81.8%
D 1
 
9.1%
L 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10403
64.2%
ASCII 5797
35.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2792
48.2%
( 453
 
7.8%
) 453
 
7.8%
, 382
 
6.6%
1 351
 
6.1%
2 233
 
4.0%
3 201
 
3.5%
5 160
 
2.8%
0 134
 
2.3%
4 133
 
2.3%
Other values (8) 505
 
8.7%
Hangul
ValueCountFrequency (%)
안 1180
 
11.3%
동 830
 
8.0%
양 706
 
6.8%
경 555
 
5.3%
시 477
 
4.6%
구 466
 
4.5%
도 464
 
4.5%
기 462
 
4.4%
로 449
 
4.3%
아 315
 
3.0%
Other values (204) 4499
43.2%
None
ValueCountFrequency (%)
， 2
100.0%

설치장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
주택단지
455 

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 455
100.0%

Length

2023-12-12T15:08:49.667327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:08:49.750880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택단지 455
100.0%

설치일자
Date

Distinct241
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1979-09-20 00:00:00
Maximum2022-09-16 00:00:00
2023-12-12T15:08:49.865113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:08:50.063244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T15:08:47.518300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T15:08:47.673687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:08:47.775740image/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

시설번호시설명시설주소설치장소설치일자
0623평촌부영2차아파트306동옆 놀이터경기도 안양시 동안구 관평로212번길 15 (관양동)주택단지2009-05-21
1624평촌부영2차아파트307동옆 놀이터경기도 안양시 동안구 관평로212번길 15 (관양동)주택단지2009-05-21
2625평촌부영2차아파트312동앞 놀이터경기도 안양시 동안구 관평로212번길 15 (관양동)주택단지2009-05-21
3626평촌부영2차아파트관리동옆놀이터경기도 안양시 동안구 관평로212번길 15 (관양동)주택단지2009-05-21
4708꿈마을 라이프 106동 앞 놀이터경기도 안양시 동안구 귀인로 258 (평촌동, 꿈마을라이프아파트)주택단지2009-06-11
5709공작마을성일아파트 201동 놀이터경기도 안양시 동안구 달안로 153 (관양동, 공작성일아파트)주택단지2009-06-11
6710공작마을성일아파트 206동 놀이터경기도 안양시 동안구 달안로 153 (관양동, 공작성일아파트)주택단지2009-06-11
7749성원5차아파트 놀이터경기도 안양시 만안구 현충로 102 (안양동, 성원5차아파트)주택단지2009-06-22
8947신안아파트 놀이터경기도 안양시 만안구 박달로 420 (박달동, 신안아파트)주택단지2009-07-31
91113안양 석수 I'PARK아파트 104동앞 놀이터경기도 안양시 만안구 충훈로 51 (석수동, 석수아이파크)주택단지2009-09-03
시설번호시설명시설주소설치장소설치일자
445581197힐스테이트비산파크뷰아파트 유아놀이터(103동 앞)경기도 안양시 동안구 경수대로 970-9 (비산동)비산동 510주택단지2021-12-22
446581198힐스테이트비산파크뷰아파트 어린이놀이터(104동 옆)경기도 안양시 동안구 경수대로 970-9 (비산동)비산동 510주택단지2021-12-22
447581334두산위브더아티움아파트 어린이놀이터1(경로당 앞)경기도 안양시 만안구 안양동예술공원로 51(안양동 34-1)주택단지2022-01-23
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