Overview

Dataset statistics

Number of variables13
Number of observations27
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory112.7 B

Variable types

Numeric2
Categorical4
Text5
DateTime2

Dataset

Description2024년 1월 경상남도 아동공동생활가정 현황입니다. 시설유형, 시설명, 수용인원, 종사자인원, 소재지 주소, 기관연락처 등의 항목을 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/15068668/fileData.do

Alerts

시설유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 시군구High correlation
우편번호 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
수용인원 is highly overall correlated with 종사자인원High correlation
종사자인원 is highly overall correlated with 수용인원High correlation
수용인원 is highly imbalanced (61.8%)Imbalance
주소(지번주소) has 1 (3.7%) missing valuesMissing
순번 has unique valuesUnique
시설명 has unique valuesUnique
시설명(영문) has unique valuesUnique
주소(도로명주소) has unique valuesUnique
기관연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-13 11:48:12.157455
Analysis finished2024-04-13 11:48:17.018028
Duration4.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-13T20:48:17.197509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2024-04-13T20:48:17.587671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

시군구
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
창원시
진주시
통영시
사천시
김해시
Other values (5)

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)11.1%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 5
18.5%
진주시 5
18.5%
통영시 4
14.8%
사천시 3
11.1%
김해시 3
11.1%
거제시 2
 
7.4%
양산시 2
 
7.4%
함안군 1
 
3.7%
하동군 1
 
3.7%
거창군 1
 
3.7%

Length

2024-04-13T20:48:17.974378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:48:18.322679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 5
18.5%
진주시 5
18.5%
통영시 4
14.8%
사천시 3
11.1%
김해시 3
11.1%
거제시 2
 
7.4%
양산시 2
 
7.4%
함안군 1
 
3.7%
하동군 1
 
3.7%
거창군 1
 
3.7%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
그룹홈
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
그룹홈 27
100.0%

Length

2024-04-13T20:48:18.727264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:48:19.013276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그룹홈 27
100.0%

시설명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-13T20:48:19.674123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length6.5555556
Min length4

Characters and Unicode

Total characters177
Distinct characters71
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row 은혜의집
2nd row 빛누리집
3rd row 마산한울타리
4th row 꿈놀이터
5th row 행복울타리
ValueCountFrequency (%)
은혜의집 1
 
3.6%
빛누리집 1
 
3.6%
로뎀나무숲 1
 
3.6%
푸른꿈 1
 
3.6%
연지 1
 
3.6%
푸른나래 1
 
3.6%
좋은씨앗 1
 
3.6%
콩이네집 1
 
3.6%
해피아이 1
 
3.6%
자작나무 1
 
3.6%
Other values (18) 18
64.3%
2024-04-13T20:48:20.815892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
31.1%
7
 
4.0%
6
 
3.4%
6
 
3.4%
5
 
2.8%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (61) 81
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
68.9%
Space Separator 55
31.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
5.7%
6
 
4.9%
6
 
4.9%
5
 
4.1%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (60) 78
63.9%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
68.9%
Common 55
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
5.7%
6
 
4.9%
6
 
4.9%
5
 
4.1%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (60) 78
63.9%
Common
ValueCountFrequency (%)
55
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
68.9%
ASCII 55
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
100.0%
Hangul
ValueCountFrequency (%)
7
 
5.7%
6
 
4.9%
6
 
4.9%
5
 
4.1%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (60) 78
63.9%

시설명(영문)
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-13T20:48:21.634420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length12.111111
Min length5

Characters and Unicode

Total characters327
Distinct characters41
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st rowGrace Grouphome
2nd rowBitnurry house
3rd rowmasan hanultari
4th rowDream Playground Grouphome
5th rowHAPPY FENCE
ValueCountFrequency (%)
home 2
 
4.3%
grouphome 2
 
4.3%
house 2
 
4.3%
grace 1
 
2.2%
saem 1
 
2.2%
tongyeonghanultari 1
 
2.2%
kkachideungji 1
 
2.2%
momone 1
 
2.2%
hosanna 1
 
2.2%
group 1
 
2.2%
Other values (33) 33
71.7%
2024-04-13T20:48:22.842318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 23
 
7.0%
20
 
6.1%
u 20
 
6.1%
a 19
 
5.8%
n 19
 
5.8%
o 15
 
4.6%
A 15
 
4.6%
r 12
 
3.7%
N 12
 
3.7%
m 12
 
3.7%
Other values (31) 160
48.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 185
56.6%
Uppercase Letter 122
37.3%
Space Separator 20
 
6.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 15
12.3%
N 12
 
9.8%
O 11
 
9.0%
H 8
 
6.6%
U 8
 
6.6%
P 8
 
6.6%
E 7
 
5.7%
R 7
 
5.7%
G 7
 
5.7%
D 6
 
4.9%
Other values (11) 33
27.0%
Lowercase Letter
ValueCountFrequency (%)
e 23
12.4%
u 20
10.8%
a 19
10.3%
n 19
10.3%
o 15
 
8.1%
r 12
 
6.5%
m 12
 
6.5%
i 9
 
4.9%
g 8
 
4.3%
h 8
 
4.3%
Other values (9) 40
21.6%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 307
93.9%
Common 20
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 23
 
7.5%
u 20
 
6.5%
a 19
 
6.2%
n 19
 
6.2%
o 15
 
4.9%
A 15
 
4.9%
r 12
 
3.9%
N 12
 
3.9%
m 12
 
3.9%
O 11
 
3.6%
Other values (30) 149
48.5%
Common
ValueCountFrequency (%)
20
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 23
 
7.0%
20
 
6.1%
u 20
 
6.1%
a 19
 
5.8%
n 19
 
5.8%
o 15
 
4.6%
A 15
 
4.6%
r 12
 
3.7%
N 12
 
3.7%
m 12
 
3.7%
Other values (31) 160
48.9%

수용인원
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
7
24 
5
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
7 24
88.9%
5 2
 
7.4%
4 1
 
3.7%

Length

2024-04-13T20:48:23.244040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:48:23.546971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 24
88.9%
5 2
 
7.4%
4 1
 
3.7%

종사자인원
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size344.0 B
4
17 
3
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row3
2nd row3
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 17
63.0%
3 8
29.6%
2 1
 
3.7%
5 1
 
3.7%

Length

2024-04-13T20:48:23.869149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:48:24.177016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 17
63.0%
3 8
29.6%
2 1
 
3.7%
5 1
 
3.7%
Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size344.0 B
Minimum1994-01-10 00:00:00
Maximum2023-03-29 00:00:00
2024-04-13T20:48:24.669979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:48:25.029827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-13T20:48:25.912207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length25.37037
Min length13

Characters and Unicode

Total characters685
Distinct characters97
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row경남 창원시의창구 읍성로102-1(3층)
2nd row경남 창원시 마산합포구 구산면 옥계로11
3rd row경남 창원시 마산합포구 월영남로 59, 106동 1603호(동아1차)
4th row경남 창원시 진해구 인사로32번길 12
5th row경남 창원시 진해구 석동로 75번길 20-8, 201호
ValueCountFrequency (%)
경남 27
 
18.0%
진주시 5
 
3.3%
창원시 4
 
2.7%
통영시 4
 
2.7%
김해시 3
 
2.0%
101동 3
 
2.0%
사천시 3
 
2.0%
14 2
 
1.3%
거창읍 2
 
1.3%
마산합포구 2
 
1.3%
Other values (88) 95
63.3%
2024-04-13T20:48:27.217875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/