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
5 
진주시
5 
통영시
4 
사천시
3 
김해시
3 
Other values (5)
7 

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%
리 7
 
4.0%
집 6
 
3.4%
이 6
 
3.4%
나 5
 
2.8%
울 4
 
2.3%
타 4
 
2.3%
네 3
 
1.7%
누 3
 
1.7%
의 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 (%)
리 7
 
5.7%
집 6
 
4.9%
이 6
 
4.9%
나 5
 
4.1%
울 4
 
3.3%
타 4
 
3.3%
네 3
 
2.5%
누 3
 
2.5%
의 3
 
2.5%
아 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 (%)
리 7
 
5.7%
집 6
 
4.9%
이 6
 
4.9%
나 5
 
4.1%
울 4
 
3.3%
타 4
 
3.3%
네 3
 
2.5%
누 3
 
2.5%
의 3
 
2.5%
아 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 (%)
리 7
 
5.7%
집 6
 
4.9%
이 6
 
4.9%
나 5
 
4.1%
울 4
 
3.3%
타 4
 
3.3%
네 3
 
2.5%
누 3
 
2.5%
의 3
 
2.5%
아 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
8 
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%

설치일자
Date

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)

주소(도로명주소)
Text

UNIQUE 

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/

Most occurring characters

ValueCountFrequency (%)
124
 
18.1%
1 40
 
5.8%
0 32
 
4.7%
2 30
 
4.4%
남 30
 
4.4%
경 28
 
4.1%
시 24
 
3.5%
동 21
 
3.1%
로 18
 
2.6%
길 16
 
2.3%
Other values (87) 322
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
52.4%
Decimal Number 168
24.5%
Space Separator 124
 
18.1%
Other Punctuation 15
 
2.2%
Dash Punctuation 7
 
1.0%
Close Punctuation 6
 
0.9%
Open Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 30
 
8.4%
경 28
 
7.8%
시 24
 
6.7%
동 21
 
5.8%
로 18
 
5.0%
길 16
 
4.5%
호 16
 
4.5%
진 10
 
2.8%
창 10
 
2.8%
거 9
 
2.5%
Other values (72) 177
49.3%
Decimal Number
ValueCountFrequency (%)
1 40
23.8%
0 32
19.0%
2 30
17.9%
4 14
 
8.3%
3 13
 
7.7%
5 12
 
7.1%
6 7
 
4.2%
9 7
 
4.2%
8 7
 
4.2%
7 6
 
3.6%
Space Separator
ValueCountFrequency (%)
124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
52.4%
Common 326
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 30
 
8.4%
경 28
 
7.8%
시 24
 
6.7%
동 21
 
5.8%
로 18
 
5.0%
길 16
 
4.5%
호 16
 
4.5%
진 10
 
2.8%
창 10
 
2.8%
거 9
 
2.5%
Other values (72) 177
49.3%
Common
ValueCountFrequency (%)
124
38.0%
1 40
 
12.3%
0 32
 
9.8%
2 30
 
9.2%
, 15
 
4.6%
4 14
 
4.3%
3 13
 
4.0%
5 12
 
3.7%
6 7
 
2.1%
9 7
 
2.1%
Other values (5) 32
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
52.4%
ASCII 326
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
38.0%
1 40
 
12.3%
0 32
 
9.8%
2 30
 
9.2%
, 15
 
4.6%
4 14
 
4.3%
3 13
 
4.0%
5 12
 
3.7%
6 7
 
2.1%
9 7
 
2.1%
Other values (5) 32
 
9.8%
Hangul
ValueCountFrequency (%)
남 30
 
8.4%
경 28
 
7.8%
시 24
 
6.7%
동 21
 
5.8%
로 18
 
5.0%
길 16
 
4.5%
호 16
 
4.5%
진 10
 
2.8%
창 10
 
2.8%
거 9
 
2.5%
Other values (72) 177
49.3%

주소(지번주소)
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing1
Missing (%)3.7%
Memory size344.0 B
2024-04-13T20:48:28.011964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length24.153846
Min length18

Characters and Unicode

Total characters628
Distinct characters112
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 의창구 소답동 133-32
2nd row경상남도?창원시?마산합포구?구산면?옥계리 688-5 성혈영성의집
3rd row경상남도?창원시?마산합포구?월영동 619 동아1차아파트
4th row경상남도?창원시?진해구?제황산동 28-428
5th row경상남도?창원시?진해구?석동 637-1 아름다운교회
ValueCountFrequency (%)
경상남도?양산시?명동 2
 
2.8%
경상남도?통영시?봉평동 2
 
2.8%
경상남도?진주시?하대동 2
 
2.8%
경상남도?김해시?삼방동 2
 
2.8%
205-1 1
 
1.4%
경상남도?사천시?정동면?고읍리 1
 
1.4%
574-1 1
 
1.4%
사천청구타운 1
 
1.4%
691-2 1
 
1.4%
경상남도?사천시?정동면?풍정리 1
 
1.4%
Other values (57) 57
80.3%
2024-04-13T20:48:29.236431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 62
 
9.9%
45
 
7.2%
도 28
 
4.5%
상 28
 
4.5%
남 27
 
4.3%
경 26
 
4.1%
동 25
 
4.0%
시 24
 
3.8%
- 20
 
3.2%
1 19
 
3.0%
Other values (102) 324
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
63.2%
Decimal Number 104
 
16.6%
Other Punctuation 62
 
9.9%
Space Separator 45
 
7.2%
Dash Punctuation 20
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 28
 
7.1%
상 28
 
7.1%
남 27
 
6.8%
경 26
 
6.5%
동 25
 
6.3%
시 24
 
6.0%
진 9
 
2.3%
아 9
 
2.3%
리 8
 
2.0%
원 8
 
2.0%
Other values (89) 205
51.6%
Decimal Number
ValueCountFrequency (%)
1 19
18.3%
7 12
11.5%
2 12
11.5%
3 12
11.5%
6 11
10.6%
5 10
9.6%
9 9
8.7%
8 8
7.7%
0 6
 
5.8%
4 5
 
4.8%
Other Punctuation
ValueCountFrequency (%)
? 62
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
63.2%
Common 231
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 28
 
7.1%
상 28
 
7.1%
남 27
 
6.8%
경 26
 
6.5%
동 25
 
6.3%
시 24
 
6.0%
진 9
 
2.3%
아 9
 
2.3%
리 8
 
2.0%
원 8
 
2.0%
Other values (89) 205
51.6%
Common
ValueCountFrequency (%)
? 62
26.8%
45
19.5%
- 20
 
8.7%
1 19
 
8.2%
7 12
 
5.2%
2 12
 
5.2%
3 12
 
5.2%
6 11
 
4.8%
5 10
 
4.3%
9 9
 
3.9%
Other values (3) 19
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
63.2%
ASCII 231
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 62
26.8%
45
19.5%
- 20
 
8.7%
1 19
 
8.2%
7 12
 
5.2%
2 12
 
5.2%
3 12
 
5.2%
6 11
 
4.8%
5 10
 
4.3%
9 9
 
3.9%
Other values (3) 19
 
8.2%
Hangul
ValueCountFrequency (%)
도 28
 
7.1%
상 28
 
7.1%
남 27
 
6.8%
경 26
 
6.5%
동 25
 
6.3%
시 24
 
6.0%
진 9
 
2.3%
아 9
 
2.3%
리 8
 
2.0%
원 8
 
2.0%
Other values (89) 205
51.6%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52078.778
Minimum50146
Maximum53283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-13T20:48:29.610066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50146
5-th percentile50533.2
Q151393.5
median52521
Q352764
95-th percentile53202.6
Maximum53283
Range3137
Interquartile range (IQR)1370.5

Descriptive statistics

Standard deviation954.46382
Coefficient of variation (CV)0.018327308
Kurtosis-0.96111023
Mean52078.778
Median Absolute Deviation (MAD)557
Skewness-0.57407619
Sum1406127
Variance911001.18
MonotonicityNot monotonic
2024-04-13T20:48:29.986238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
53073 2
 
7.4%
51200 1
 
3.7%
52522 1
 
3.7%
50146 1
 
3.7%
52349 1
 
3.7%
52020 1
 
3.7%
50536 1
 
3.7%
50532 1
 
3.7%
53256 1
 
3.7%
53283 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
50146 1
3.7%
50532 1
3.7%
50536 1
3.7%
50814 1
3.7%
50815 1
3.7%
50987 1
3.7%
51200 1
3.7%
51587 1
3.7%
51685 1
3.7%
51753 1
3.7%
ValueCountFrequency (%)
53283 1
3.7%
53256 1
3.7%
53078 1
3.7%
53073 2
7.4%
53070 1
3.7%
52767 1
3.7%
52761 1
3.7%
52693 1
3.7%
52661 1
3.7%
52616 1
3.7%

기관연락처
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-13T20:48:30.744400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.111111
Min length12

Characters and Unicode

Total characters327
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
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 row055-251-7506
2nd row055-221-1629
3rd row055-245-6767
4th row055-547-9070
5th row055-542-6154
ValueCountFrequency (%)
055-251-7506 1
 
3.7%
070-4254-3662 1
 
3.7%
055-883-6001 1
 
3.7%
055-586-8994 1
 
3.7%
055-383-9548 1
 
3.7%
055-388-5186 1
 
3.7%
055-634-0815 1
 
3.7%
070-8842-0330 1
 
3.7%
055-337-8966 1
 
3.7%
070-8908-7744 1
 
3.7%
Other values (17) 17
63.0%
2024-04-13T20:48:31.878169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 68
20.8%
- 54
16.5%
0 41
12.5%
4 25
 
7.6%
2 23
 
7.0%
6 23
 
7.0%
7 22
 
6.7%
8 21
 
6.4%
3 19
 
5.8%
1 18
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 273
83.5%
Dash Punctuation 54
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 68
24.9%
0 41
15.0%
4 25
 
9.2%
2 23
 
8.4%
6 23
 
8.4%
7 22
 
8.1%
8 21
 
7.7%
3 19
 
7.0%
1 18
 
6.6%
9 13
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 327
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 68
20.8%
- 54
16.5%
0 41
12.5%
4 25
 
7.6%
2 23
 
7.0%
6 23
 
7.0%
7 22
 
6.7%
8 21
 
6.4%
3 19
 
5.8%
1 18
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 68
20.8%
- 54
16.5%
0 41
12.5%
4 25
 
7.6%
2 23
 
7.0%
6 23
 
7.0%
7 22
 
6.7%
8 21
 
6.4%
3 19
 
5.8%
1 18
 
5.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
Minimum2024-04-01 00:00:00
Maximum2024-04-01 00:00:00
2024-04-13T20:48:32.064601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:48:32.225289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-13T20:48:15.619388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:48:15.131058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:48:15.861538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T20:48:15.376964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T20:48:32.360301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군구시설명시설명(영문)수용인원종사자인원설치일자주소(도로명주소)주소(지번주소)우편번호기관연락처
순번1.0000.9021.0001.0000.3970.6450.9371.0001.0000.7751.000
시군구0.9021.0001.0001.0000.6120.3900.9571.0001.0000.9081.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설명(영문)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수용인원0.3970.6121.0001.0001.0000.6451.0001.0001.0000.4011.000
종사자인원0.6450.3901.0001.0000.6451.0000.9241.0001.0000.7171.000
설치일자0.9370.9571.0001.0001.0000.9241.0001.0001.0000.0001.000
주소(도로명주소)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주소(지번주소)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.7750.9081.0001.0000.4010.7170.0001.0001.0001.0001.000
기관연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-13T20:48:32.576676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용인원종사자인원시군구
수용인원1.0000.6520.370
종사자인원0.6521.0000.173
시군구0.3700.1731.000
2024-04-13T20:48:32.727155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호시군구수용인원종사자인원
순번1.000-0.1750.5520.2900.383
우편번호-0.1751.0000.7450.1480.295
시군구0.5520.7451.0000.3700.173
수용인원0.2900.1480.3701.0000.652
종사자인원0.3830.2950.1730.6521.000

Missing values

2024-04-13T20:48:16.228045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:48:16.783373image/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

순번시군구시설유형시설명시설명(영문)수용인원종사자인원설치일자주소(도로명주소)주소(지번주소)우편번호기관연락처데이터기준일자
01창원시그룹홈은혜의집Grace Grouphome732010.12.29경남 창원시의창구 읍성로102-1(3층)경상남도 창원시 의창구 소답동 133-3251200055-251-75062024-04-01
12창원시그룹홈빛누리집Bitnurry house731995.09.15경남 창원시 마산합포구 구산면 옥계로11경상남도?창원시?마산합포구?구산면?옥계리 688-5 성혈영성의집51782055-221-16292024-04-01
23창원시그룹홈마산한울타리masan hanultari731994.01.10경남 창원시 마산합포구 월영남로 59, 106동 1603호(동아1차)경상남도?창원시?마산합포구?월영동 619 동아1차아파트51753055-245-67672024-04-01
34창원시그룹홈꿈놀이터Dream Playground Grouphome742008.09.26경남 창원시 진해구 인사로32번길 12경상남도?창원시?진해구?제황산동 28-42851685055-547-90702024-04-01
45창원시그룹홈행복울타리HAPPY FENCE742010.06.23경남 창원시 진해구 석동로 75번길 20-8, 201호경상남도?창원시?진해구?석동 637-1 아름다운교회51587055-542-61542024-04-01
56진주시그룹홈진주한울타리JINJUHANULTARI742005.01.04경남 진주시 진주대로 1208번길 20, 2동 205호경상남도?진주시?상봉동 1096 상봉한주아파트52661055-743-61802024-04-01
67진주시그룹홈태양의집Sun Home732005.05.25경남 진주시 천수로 298번길 10, 101동 101호경상남도?진주시?신안동 15-30 대화리네르빌52693055-741-11812024-04-01
78진주시그룹홈예닮이네Yae dam ine732007.04.12경남 진주시 하대로 40번길 14, 403호경상남도?진주시?하대동 585-11 도동대림빌라52761055-761-59532024-04-01
89진주시그룹홈임마누엘집Immanuel house732007.10.13경남 진주시 동부로 2062, 101동 203호경상남도?진주시?일반성면 개암리 477-12 일반성 에이원아파트52616055-759-61972024-04-01
910진주시그룹홈해들누리Hae Deul Nu Ri742011.01.05경남 진주시 도동로 240번길 21-5경상남도?진주시?하대동 325-952767055-744-79422024-04-01
순번시군구시설유형시설명시설명(영문)수용인원종사자인원설치일자주소(도로명주소)주소(지번주소)우편번호기관연락처데이터기준일자
1718김해시그룹홈두리골해맑은아이들의 집DOORIGOL742007.08.07경남 김해시 삼안로244 4동 104호(삼방한일)경상남도?김해시?삼방동 691-2 한일아파트50815055-335-22462024-04-01
1819김해시그룹홈자작나무JAJAKNAMU732010.08.26경남 김해시 삼안로279번길9경상남도?김해시?삼방동 662-650814070-8908-77442024-04-01
1920김해시그룹홈해피아이HAPPYI422023.03.29경남 김해시 능동로32, 402동105호(부영그린타운7차)경상남도?김해시?삼문동 62-4 젤미마을부영그린타운7차50987055-337-89662024-04-01
2021거제시그룹홈콩이네집KONGHOUSE742012.03.20경남 거제시 거제면 거제남서로3862경상남도?거제시?거제면?내간리 97553283070-8842-03302024-04-01
2122거제시그룹홈좋은씨앗GOODSEED742020.03.26경남 거제시 계룡로 120, 거원빌라 103호경상남도?거제시?고현동 519?거원빌라53256055-634-08152024-04-01
2223양산시그룹홈푸른나래pureun narae752014.05.16경남 양산시 신명동6길 19경상남도?양산시?명동 1073-750532055-388-51862024-04-01
2324양산시그룹홈연지YUNJI742014.12.30경남 양산시 명동4길 5-25, 201호경상남도?양산시?명동 967-1050536055-383-95482024-04-01
2425함안군그룹홈푸른꿈pureunkkum742009.11.04경남 함안군 칠원읍 호곡1길 51-1, 1호경상남도?함안군?칠원읍?오곡리 315-1152020055-586-89942024-04-01
2526하동군그룹홈로뎀나무숲RODEMNAMUSUP542020.06.29경남 하동군 진교면 들포길38 미진아파트 103동 107호경상남도?하동군?진교면?고룡리 3 미진스위트빌52349055-883-60012024-04-01
2627거창군그룹홈경천공간gyeongcheon space742010.11.01경남 거창군 거창읍 국농소3길 89, 2층경상남도 거창군 거창읍 정장리 1<NA>50146055-943-42212024-04-01