Overview

Dataset statistics

Number of variables6
Number of observations315
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory50.4 B

Variable types

Numeric2
Text2
Categorical2

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

연번 is highly overall correlated with 우편번호High correlation
우편번호 is highly overall correlated with 연번High correlation
물놀이형놀이시설 is highly imbalanced (82.9%)Imbalance
설치장소 is highly imbalanced (84.6%)Imbalance
연번 has unique valuesUnique
놀이시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:06:05.511381
Analysis finished2024-04-06 08:06:07.538349
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158
Minimum1
Maximum315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-06T17:06:07.686464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.7
Q179.5
median158
Q3236.5
95-th percentile299.3
Maximum315
Range314
Interquartile range (IQR)157

Descriptive statistics

Standard deviation91.076891
Coefficient of variation (CV)0.57643602
Kurtosis-1.2
Mean158
Median Absolute Deviation (MAD)79
Skewness0
Sum49770
Variance8295
MonotonicityStrictly increasing
2024-04-06T17:06:07.983394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
209 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
208 1
 
0.3%
Other values (305) 305
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%

놀이시설명
Text

UNIQUE 

Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-06T17:06:08.364260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length31
Mean length18.301587
Min length4

Characters and Unicode

Total characters5765
Distinct characters252
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

Unique315 ?
Unique (%)100.0%

Sample

1st row스카이시티프라디움 유아놀이터2(어린이집 앞)
2nd row스카이시티프라디움 유아놀이터(어린이집 앞)
3rd row스카이시티프라디움 어린이놀이터2(잔디중앙광장)
4th row스카이시티프라디움 어린이놀이터1(잔디중앙광장)
5th row현대성우트리펠리스아파트 어린이놀이시설
ValueCountFrequency (%)
앞 65
 
6.6%
43
 
4.4%
놀이터 39
 
4.0%
옆 22
 
2.2%
어린이놀이터 20
 
2.0%
뒤 20
 
2.0%
유아놀이터 18
 
1.8%
101동 18
 
1.8%
① 14
 
1.4%
② 13
 
1.3%
Other values (381) 710
72.3%
2024-04-06T17:06:09.027049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
667
 
11.6%
이 318
 
5.5%
1 237
 
4.1%
아 233
 
4.0%
트 218
 
3.8%
파 203
 
3.5%
놀 198
 
3.4%
동 182
 
3.2%
터 171
 
3.0%
0 153
 
2.7%
Other values (242) 3185
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4058
70.4%
Decimal Number 689
 
12.0%
Space Separator 667
 
11.6%
Close Punctuation 83
 
1.4%
Open Punctuation 83
 
1.4%
Uppercase Letter 64
 
1.1%
Dash Punctuation 62
 
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 (%)
이 318
 
7.8%
아 233
 
5.7%
트 218
 
5.4%
파 203
 
5.0%
놀 198
 
4.9%
동 182
 
4.5%
터 171
 
4.2%
주 146
 
3.6%
린 94
 
2.3%
진 87
 
2.1%
Other values (210) 2208
54.4%
Decimal Number
ValueCountFrequency (%)
1 237
34.4%
0 153
22.2%
2 112
16.3%
3 62
 
9.0%
4 36
 
5.2%
5 28
 
4.1%
8 21
 
3.0%
6 17
 
2.5%
9 14
 
2.0%
7 9
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
S 19
29.7%
H 15
23.4%
L 15
23.4%
C 8
12.5%
B 2
 
3.1%
A 2
 
3.1%
F 1
 
1.6%
D 1
 
1.6%
E 1
 
1.6%
Other Number
ValueCountFrequency (%)
① 17
40.5%
② 16
38.1%
③ 5
 
11.9%
④ 2
 
4.8%
⑤ 1
 
2.4%
⑥ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
667
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
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 4058
70.4%
Common 1641
28.5%
Latin 66
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 318
 
7.8%
아 233
 
5.7%
트 218
 
5.4%
파 203
 
5.0%
놀 198
 
4.9%
동 182
 
4.5%
터 171
 
4.2%
주 146
 
3.6%
린 94
 
2.3%
진 87
 
2.1%
Other values (210) 2208
54.4%
Common
ValueCountFrequency (%)
667
40.6%
1 237
 
14.4%
0 153
 
9.3%
2 112
 
6.8%
) 83
 
5.1%
( 83
 
5.1%
- 62
 
3.8%
3 62
 
3.8%
4 36
 
2.2%
5 28
 
1.7%
Other values (12) 118
 
7.2%
Latin
ValueCountFrequency (%)
S 19
28.8%
H 15
22.7%
L 15
22.7%
C 8
12.1%
e 2
 
3.0%
B 2
 
3.0%
A 2
 
3.0%
F 1
 
1.5%
D 1
 
1.5%
E 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4058
70.4%
ASCII 1665
28.9%
Enclosed Alphanum 42
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
667
40.1%
1 237
 
14.2%
0 153
 
9.2%
2 112
 
6.7%
) 83
 
5.0%
( 83
 
5.0%
- 62
 
3.7%
3 62
 
3.7%
4 36
 
2.2%
5 28
 
1.7%
Other values (16) 142
 
8.5%
Hangul
ValueCountFrequency (%)
이 318
 
7.8%
아 233
 
5.7%
트 218
 
5.4%
파 203
 
5.0%
놀 198
 
4.9%
동 182
 
4.5%
터 171
 
4.2%
주 146
 
3.6%
린 94
 
2.3%
진 87
 
2.1%
Other values (210) 2208
54.4%
Enclosed Alphanum
ValueCountFrequency (%)
① 17
40.5%
② 16
38.1%
③ 5
 
11.9%
④ 2
 
4.8%
⑤ 1
 
2.4%
⑥ 1
 
2.4%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52760.267
Minimum52625
Maximum52860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-06T17:06:09.264018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52625
5-th percentile52631
Q152698
median52763
Q352830
95-th percentile52857
Maximum52860
Range235
Interquartile range (IQR)132

Descriptive statistics

Standard deviation76.852982
Coefficient of variation (CV)0.0014566451
Kurtosis-1.3894769
Mean52760.267
Median Absolute Deviation (MAD)66
Skewness-0.20421189
Sum16619484
Variance5906.3809
MonotonicityNot monotonic
2024-04-06T17:06:09.537037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52826 20
 
6.3%
52855 15
 
4.8%
52853 12
 
3.8%
52731 12
 
3.8%
52859 11
 
3.5%
52845 10
 
3.2%
52650 10
 
3.2%
52831 9
 
2.9%
52820 8
 
2.5%
52697 7
 
2.2%
Other values (81) 201
63.8%
ValueCountFrequency (%)
52625 3
1.0%
52626 3
1.0%
52627 3
1.0%
52629 5
1.6%
52631 3
1.0%
52633 2
 
0.6%
52639 3
1.0%
52642 1
 
0.3%
52648 1
 
0.3%
52649 5
1.6%
ValueCountFrequency (%)
52860 1
 
0.3%
52859 11
3.5%
52857 5
 
1.6%
52856 7
2.2%
52855 15
4.8%
52853 12
3.8%
52849 5
 
1.6%
52845 10
3.2%
52835 2
 
0.6%
52834 2
 
0.6%

주소
Text

Distinct163
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-06T17:06:09.977695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length34.507937
Min length22

Characters and Unicode

Total characters10870
Distinct characters235
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

Unique91 ?
Unique (%)28.9%

Sample

1st row경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)
2nd row경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)
3rd row경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)
4th row경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)
5th row경상남도 진주시 진주대로879번길 19 (주약동, 현대성우트리팰리스)
ValueCountFrequency (%)
경상남도 315
 
15.6%
진주시 315
 
15.6%
충무공동 59
 
2.9%
가좌동 45
 
2.2%
평거동 43
 
2.1%
초전동 26
 
1.3%
새평거로 23
 
1.1%
신안동 21
 
1.0%
금산면 19
 
0.9%
사들로 19
 
0.9%
Other values (398) 1128
56.0%
2024-04-06T17:06:10.810996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1698
 
15.6%
주 475
 
4.4%
진 429
 
3.9%
시 391
 
3.6%
도 378
 
3.5%
상 355
 
3.3%
남 340
 
3.1%
경 337
 
3.1%
동 317
 
2.9%
) 313
 
2.9%
Other values (225) 5837
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7128
65.6%
Space Separator 1698
 
15.6%
Decimal Number 1112
 
10.2%
Close Punctuation 313
 
2.9%
Open Punctuation 313
 
2.9%
Other Punctuation 251
 
2.3%
Dash Punctuation 43
 
0.4%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 475
 
6.7%
진 429
 
6.0%
시 391
 
5.5%
도 378
 
5.3%
상 355
 
5.0%
남 340
 
4.8%
경 337
 
4.7%
동 317
 
4.4%
로 298
 
4.2%
트 188
 
2.6%
Other values (207) 3620
50.8%
Decimal Number
ValueCountFrequency (%)
1 282
25.4%
2 129
11.6%
5 120
10.8%
3 99
 
8.9%
4 90
 
8.1%
0 87
 
7.8%
9 82
 
7.4%
7 77
 
6.9%
6 77
 
6.9%
8 69
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
K 4
33.3%
Y 4
33.3%
S 4
33.3%
Space Separator
ValueCountFrequency (%)
1698
100.0%
Close Punctuation
ValueCountFrequency (%)
) 313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 313
100.0%
Other Punctuation
ValueCountFrequency (%)
, 251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7128
65.6%
Common 3730
34.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 475
 
6.7%
진 429
 
6.0%
시 391
 
5.5%
도 378
 
5.3%
상 355
 
5.0%
남 340
 
4.8%
경 337
 
4.7%
동 317
 
4.4%
로 298
 
4.2%
트 188
 
2.6%
Other values (207) 3620
50.8%
Common
ValueCountFrequency (%)
1698
45.5%
) 313
 
8.4%
( 313
 
8.4%
1 282
 
7.6%
, 251
 
6.7%
2 129
 
3.5%
5 120
 
3.2%
3 99
 
2.7%
4 90
 
2.4%
0 87
 
2.3%
Other values (5) 348
 
9.3%
Latin
ValueCountFrequency (%)
K 4
33.3%
Y 4
33.3%
S 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7128
65.6%
ASCII 3742
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1698
45.4%
) 313
 
8.4%
( 313
 
8.4%
1 282
 
7.5%
, 251
 
6.7%
2 129
 
3.4%
5 120
 
3.2%
3 99
 
2.6%
4 90
 
2.4%
0 87
 
2.3%
Other values (8) 360
 
9.6%
Hangul
ValueCountFrequency (%)
주 475
 
6.7%
진 429
 
6.0%
시 391
 
5.5%
도 378
 
5.3%
상 355
 
5.0%
남 340
 
4.8%
경 337
 
4.7%
동 317
 
4.4%
로 298
 
4.2%
트 188
 
2.6%
Other values (207) 3620
50.8%

물놀이형놀이시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
미포함
307 
포함
 
8

Length

Max length3
Median length3
Mean length2.9746032
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미포함 307
97.5%
포함 8
 
2.5%

Length

2024-04-06T17:06:11.128593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:06:11.325042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미포함 307
97.5%
포함 8
 
2.5%

설치장소
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
주택단지
308 
주상복합
 
7

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 308
97.8%
주상복합 7
 
2.2%

Length

2024-04-06T17:06:11.521608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:06:11.715045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택단지 308
97.8%
주상복합 7
 
2.2%

Interactions

2024-04-06T17:06:06.884043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:06:06.143720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:06:07.057223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:06:06.301160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:06:11.826124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호물놀이형놀이시설설치장소
연번1.0000.6990.2730.546
우편번호0.6991.0000.0000.238
물놀이형놀이시설0.2730.0001.0000.000
설치장소0.5460.2380.0001.000
2024-04-06T17:06:12.012136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소물놀이형놀이시설
설치장소1.0000.000
물놀이형놀이시설0.0001.000
2024-04-06T17:06:12.191729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호물놀이형놀이시설설치장소
연번1.000-0.5220.2060.416
우편번호-0.5221.0000.0000.181
물놀이형놀이시설0.2060.0001.0000.000
설치장소0.4160.1810.0001.000

Missing values

2024-04-06T17:06:07.271627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:06:07.464321image/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

연번놀이시설명우편번호주소물놀이형놀이시설설치장소
01스카이시티프라디움 유아놀이터2(어린이집 앞)52826경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)미포함주상복합
12스카이시티프라디움 유아놀이터(어린이집 앞)52826경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)미포함주상복합
23스카이시티프라디움 어린이놀이터2(잔디중앙광장)52826경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)포함주상복합
34스카이시티프라디움 어린이놀이터1(잔디중앙광장)52826경상남도 진주시 개양로 100 (가좌동, SKY 시티프라디움)미포함주상복합
45현대성우트리펠리스아파트 어린이놀이시설52716경상남도 진주시 진주대로879번길 19 (주약동, 현대성우트리팰리스)미포함주상복합
56흥한스위트 주상복합(4층옥상)52693경상남도 진주시 신안로 94 (신안동, 흥한스위트)미포함주상복합
67한보하이타운아파트52678경상남도 진주시 순환로553번길 7 (평거동, 한보하이타운)미포함주상복합
78대방노블랜드1차아파트 (주민공동시설)52855경상남도 진주시 사들로 61 (충무공동, 진주혁신도시 대방노블랜드 더 캐슬 아파트) 주민공동시설 지하1층미포함주택단지
89프리미어 웰가 키즈존52826경상남도 진주시 개양로 67 (가좌동, 프리미어 웰가)미포함주택단지
910신진주역세권프리미어웰가 103동 유아놀이터52826경상남도 진주시 개양로 67 (가좌동) 신진주역세권프리미어웰가미포함주택단지
연번놀이시설명우편번호주소물놀이형놀이시설설치장소
305306촉석아파트52796경상남도 진주시 솔밭로92번길 5 (상평동, 촉석맨션)미포함주택단지
306307망경한주맨션52707경상남도 진주시 망경북길 53 (망경동, 망경한주맨션)미포함주택단지
307308평거주공1차아파트52678경상남도 진주시 진양호로185번길 7 (평거동, 주공1차아파트)미포함주택단지
308309일신아파트 어린이놀이시설52741경상남도 진주시 하대로34번길 10 (하대동, 일신아파트)미포함주택단지
309310대경빌라트아파트52817경상남도 진주시 가호로 79 (호탄동, 대경빌라트)미포함주택단지
310311초전일동아파트52736경상남도 진주시 초전북로 20 (초전동, 초전일동아파트)미포함주택단지
311312하영무지개아파트52649경상남도 진주시 진양호로 153 (평거동, 하영무지개맨션)미포함주택단지
312313진주덕산아파트 놀이시설52669경상남도 진주시 서장대로178번길 17 (이현동, 진주덕산아파트)미포함주택단지
313314대영아파트52742경상남도 진주시 말티고개로 102-5 (하대동, 하대대영아파트)미포함주택단지
314315신안주공2차(2-1)아파트 - ②210동앞52698경상남도 진주시 신안들말길 17 (신안동, 주공1차아파트)미포함주택단지