Overview

Dataset statistics

Number of variables10
Number of observations40
Missing cells36
Missing cells (%)9.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory86.2 B

Variable types

Categorical2
Text4
DateTime1
Numeric3

Dataset

Description여수시 관내 장애인 시설 및 장애인 관련 단체 현황(시설명,연락처,주소등) 정보 제공장애인시설 (거주6개소, 공동생활가정 6개소, 한센인시설, 직업재활4개소, 복지관,주간보호5개소, 이용시설2개소,그룹홈,체험홈), 장애인단체11개
Author전라남도 여수시
URLhttps://www.data.go.kr/data/3079793/fileData.do

Alerts

데이터기준일 has constant value ""Constant
종사자수(명) is highly overall correlated with 입소자정원(명) and 2 other fieldsHigh correlation
입소자정원(명) is highly overall correlated with 종사자수(명) and 2 other fieldsHigh correlation
회원수(명) is highly overall correlated with 종사자수(명) and 1 other fieldsHigh correlation
구분 is highly overall correlated with 종사자수(명) and 1 other fieldsHigh correlation
운영법인 has 12 (30.0%) missing valuesMissing
종사자수(명) has 12 (30.0%) missing valuesMissing
입소자정원(명) has 12 (30.0%) missing valuesMissing
시 설(단체) 명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:53:25.947605
Analysis finished2024-03-14 16:53:29.548288
Duration3.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
시설
28 
단체
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시설 28
70.0%
단체 12
30.0%

Length

2024-03-15T01:53:29.657237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:53:30.106838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설 28
70.0%
단체 12
30.0%

시 설(단체) 명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-03-15T01:53:30.958507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.525
Min length3

Characters and Unicode

Total characters421
Distinct characters111
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row동백원
2nd row가나헌
3rd row에덴동산
4th row동행빌리지
5th row더불어사는마을
ValueCountFrequency (%)
전남협회 4
 
7.4%
여수시지부 3
 
5.6%
여수지회 2
 
3.7%
언젠家는 2
 
3.7%
2호 2
 
3.7%
1호 2
 
3.7%
이루리 2
 
3.7%
꿈이룸터 1
 
1.9%
동행주간보호센터 1
 
1.9%
여수시장애인생활이동지원센터 1
 
1.9%
Other values (34) 34
63.0%
2024-03-15T01:53:32.225956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
여 21
 
5.0%
수 21
 
5.0%
회 20
 
4.8%
장 19
 
4.5%
인 19
 
4.5%
애 17
 
4.0%
지 16
 
3.8%
시 16
 
3.8%
14
 
3.3%
사 14
 
3.3%
Other values (101) 244
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
90.5%
Space Separator 14
 
3.3%
Open Punctuation 11
 
2.6%
Close Punctuation 11
 
2.6%
Decimal Number 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 21
 
5.5%
수 21
 
5.5%
회 20
 
5.2%
장 19
 
5.0%
인 19
 
5.0%
애 17
 
4.5%
지 16
 
4.2%
시 16
 
4.2%
사 14
 
3.7%
협 11
 
2.9%
Other values (96) 207
54.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
90.0%
Common 40
 
9.5%
Han 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 21
 
5.5%
수 21
 
5.5%
회 20
 
5.3%
장 19
 
5.0%
인 19
 
5.0%
애 17
 
4.5%
지 16
 
4.2%
시 16
 
4.2%
사 14
 
3.7%
협 11
 
2.9%
Other values (95) 205
54.1%
Common
ValueCountFrequency (%)
14
35.0%
( 11
27.5%
) 11
27.5%
2 2
 
5.0%
1 2
 
5.0%
Han
ValueCountFrequency (%)
家 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
90.0%
ASCII 40
 
9.5%
CJK 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
여 21
 
5.5%
수 21
 
5.5%
회 20
 
5.3%
장 19
 
5.0%
인 19
 
5.0%
애 17
 
4.5%
지 16
 
4.2%
시 16
 
4.2%
사 14
 
3.7%
협 11
 
2.9%
Other values (95) 205
54.1%
ASCII
ValueCountFrequency (%)
14
35.0%
( 11
27.5%
) 11
27.5%
2 2
 
5.0%
1 2
 
5.0%
CJK
ValueCountFrequency (%)
家 2
100.0%

운영법인
Text

MISSING 

Distinct17
Distinct (%)60.7%
Missing12
Missing (%)30.0%
Memory size448.0 B
2024-03-15T01:53:32.821839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19.5
Mean length11.107143
Min length4

Characters and Unicode

Total characters311
Distinct characters53
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)50.0%

Sample

1st row사회복지법인 동행
2nd row사회복지법인 동행
3rd row사회복지법인 전남밀알복지재단
4th row사회복지법인 동행
5th row(개인운영)
ValueCountFrequency (%)
사회복지법인 18
37.5%
동행 10
20.8%
개인운영 2
 
4.2%
전남밀알재단 2
 
4.2%
사)한국지적장애인복지협회여수시지회 1
 
2.1%
애양원 1
 
2.1%
은현 1
 
2.1%
여수지회 1
 
2.1%
사)한국지체장애인협회 1
 
2.1%
송광재단 1
 
2.1%
Other values (10) 10
20.8%
2024-03-15T01:53:34.121238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 30
 
9.6%
회 28
 
9.0%
인 28
 
9.0%
사 24
 
7.7%
복 23
 
7.4%
21
 
6.8%
법 19
 
6.1%
동 10
 
3.2%
행 10
 
3.2%
) 7
 
2.3%
Other values (43) 111
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
88.7%
Space Separator 21
 
6.8%
Close Punctuation 7
 
2.3%
Open Punctuation 7
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 30
 
10.9%
회 28
 
10.1%
인 28
 
10.1%
사 24
 
8.7%
복 23
 
8.3%
법 19
 
6.9%
동 10
 
3.6%
행 10
 
3.6%
애 6
 
2.2%
한 5
 
1.8%
Other values (40) 93
33.7%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
88.7%
Common 35
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 30
 
10.9%
회 28
 
10.1%
인 28
 
10.1%
사 24
 
8.7%
복 23
 
8.3%
법 19
 
6.9%
동 10
 
3.6%
행 10
 
3.6%
애 6
 
2.2%
한 5
 
1.8%
Other values (40) 93
33.7%
Common
ValueCountFrequency (%)
21
60.0%
) 7
 
20.0%
( 7
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
88.7%
ASCII 35
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 30
 
10.9%
회 28
 
10.1%
인 28
 
10.1%
사 24
 
8.7%
복 23
 
8.3%
법 19
 
6.9%
동 10
 
3.6%
행 10
 
3.6%
애 6
 
2.2%
한 5
 
1.8%
Other values (40) 93
33.7%
ASCII
ValueCountFrequency (%)
21
60.0%
) 7
 
20.0%
( 7
 
20.0%

설립일자
Date

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
Minimum1984-05-19 00:00:00
Maximum2022-01-01 00:00:00
2024-03-15T01:53:34.620362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:35.068597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

소재지도로명주소
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-03-15T01:53:36.297685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36.5
Mean length25.975
Min length19

Characters and Unicode

Total characters1039
Distinct characters82
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

Unique32 ?
Unique (%)80.0%

Sample

1st row전라남도 여수시 소라면 화양로 1953
2nd row전라남도 여수시 화양면 상전길 199
3rd row전라남도 여수시 소라면 중촌1길11-92
4th row전라남도 여수시소호7길 36, 101/101(소호동, 프레지던트A)
5th row전라남도 여수시 소라면 중승길 45-6
ValueCountFrequency (%)
전라남도 40
19.6%
여수시 39
19.1%
만성로 6
 
2.9%
173 6
 
2.9%
미평동 6
 
2.9%
소라면 6
 
2.9%
39 4
 
2.0%
화양로 3
 
1.5%
프레지던트a 3
 
1.5%
소호7길 2
 
1.0%
Other values (78) 89
43.6%
2024-03-15T01:53:38.162525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
15.8%
수 49
 
4.7%
1 47
 
4.5%
라 46
 
4.4%
여 45
 
4.3%
전 42
 
4.0%
남 42
 
4.0%
도 41
 
3.9%
시 40
 
3.8%
동 32
 
3.1%
Other values (72) 491
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
54.6%
Decimal Number 198
 
19.1%
Space Separator 164
 
15.8%
Other Punctuation 33
 
3.2%
Open Punctuation 31
 
3.0%
Close Punctuation 31
 
3.0%
Dash Punctuation 11
 
1.1%
Uppercase Letter 3
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 49
 
8.6%
라 46
 
8.1%
여 45
 
7.9%
전 42
 
7.4%
남 42
 
7.4%
도 41
 
7.2%
시 40
 
7.1%
동 32
 
5.6%
길 22
 
3.9%
로 18
 
3.2%
Other values (53) 190
33.5%
Decimal Number
ValueCountFrequency (%)
1 47
23.7%
3 30
15.2%
2 25
12.6%
0 24
12.1%
9 17
 
8.6%
7 15
 
7.6%
4 12
 
6.1%
5 12
 
6.1%
6 10
 
5.1%
8 6
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 19
57.6%
/ 9
27.3%
@ 5
 
15.2%
Space Separator
ValueCountFrequency (%)
164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
54.6%
Common 468
45.0%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 49
 
8.6%
라 46
 
8.1%
여 45
 
7.9%
전 42
 
7.4%
남 42
 
7.4%
도 41
 
7.2%
시 40
 
7.1%
동 32
 
5.6%
길 22
 
3.9%
로 18
 
3.2%
Other values (53) 190
33.5%
Common
ValueCountFrequency (%)
164
35.0%
1 47
 
10.0%
( 31
 
6.6%
) 31
 
6.6%
3 30
 
6.4%
2 25
 
5.3%
0 24
 
5.1%
, 19
 
4.1%
9 17
 
3.6%
7 15
 
3.2%
Other values (7) 65
 
13.9%
Latin
ValueCountFrequency (%)
A 3
75.0%
a 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
54.6%
ASCII 472
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
34.7%
1 47
 
10.0%
( 31
 
6.6%
) 31
 
6.6%
3 30
 
6.4%
2 25
 
5.3%
0 24
 
5.1%
, 19
 
4.0%
9 17
 
3.6%
7 15
 
3.2%
Other values (9) 69
14.6%
Hangul
ValueCountFrequency (%)
수 49
 
8.6%
라 46
 
8.1%
여 45
 
7.9%
전 42
 
7.4%
남 42
 
7.4%
도 41
 
7.2%
시 40
 
7.1%
동 32
 
5.6%
길 22
 
3.9%
로 18
 
3.2%
Other values (53) 190
33.5%

종사자수(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)42.9%
Missing12
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean8.2857143
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-15T01:53:38.621231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q311
95-th percentile28.3
Maximum37
Range36
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.3605047
Coefficient of variation (CV)1.1297161
Kurtosis2.8190411
Mean8.2857143
Median Absolute Deviation (MAD)4
Skewness1.8135689
Sum232
Variance87.619048
MonotonicityNot monotonic
2024-03-15T01:53:39.089817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 8
20.0%
5 8
20.0%
11 2
 
5.0%
4 2
 
5.0%
37 1
 
2.5%
27 1
 
2.5%
13 1
 
2.5%
17 1
 
2.5%
7 1
 
2.5%
18 1
 
2.5%
Other values (2) 2
 
5.0%
(Missing) 12
30.0%
ValueCountFrequency (%)
1 8
20.0%
4 2
 
5.0%
5 8
20.0%
6 1
 
2.5%
7 1
 
2.5%
11 2
 
5.0%
13 1
 
2.5%
17 1
 
2.5%
18 1
 
2.5%
27 1
 
2.5%
ValueCountFrequency (%)
37 1
 
2.5%
29 1
 
2.5%
27 1
 
2.5%
18 1
 
2.5%
17 1
 
2.5%
13 1
 
2.5%
11 2
 
5.0%
7 1
 
2.5%
6 1
 
2.5%
5 8
20.0%

입소자정원(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct14
Distinct (%)50.0%
Missing12
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean34.464286
Minimum2
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-15T01:53:39.514707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q14
median20
Q332.5
95-th percentile136.25
Maximum250
Range248
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation54.009932
Coefficient of variation (CV)1.5671276
Kurtosis10.854322
Mean34.464286
Median Absolute Deviation (MAD)16
Skewness3.2477571
Sum965
Variance2917.0728
MonotonicityNot monotonic
2024-03-15T01:53:39.923043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20 7
17.5%
4 7
17.5%
30 2
 
5.0%
40 2
 
5.0%
50 1
 
2.5%
28 1
 
2.5%
25 1
 
2.5%
2 1
 
2.5%
180 1
 
2.5%
12 1
 
2.5%
Other values (4) 4
 
10.0%
(Missing) 12
30.0%
ValueCountFrequency (%)
2 1
 
2.5%
4 7
17.5%
10 1
 
2.5%
12 1
 
2.5%
20 7
17.5%
25 1
 
2.5%
28 1
 
2.5%
30 2
 
5.0%
40 2
 
5.0%
45 1
 
2.5%
ValueCountFrequency (%)
250 1
 
2.5%
180 1
 
2.5%
55 1
 
2.5%
50 1
 
2.5%
45 1
 
2.5%
40 2
 
5.0%
30 2
 
5.0%
28 1
 
2.5%
25 1
 
2.5%
20 7
17.5%

회원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.075
Minimum2
Maximum1758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-15T01:53:40.297612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q118
median30
Q393.25
95-th percentile550.75
Maximum1758
Range1756
Interquartile range (IQR)75.25

Descriptive statistics

Standard deviation322.43699
Coefficient of variation (CV)2.3184396
Kurtosis17.823067
Mean139.075
Median Absolute Deviation (MAD)26
Skewness4.0567983
Sum5563
Variance103965.61
MonotonicityNot monotonic
2024-03-15T01:53:40.711872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20 7
17.5%
4 7
17.5%
40 2
 
5.0%
30 2
 
5.0%
50 1
 
2.5%
1059 1
 
2.5%
150 1
 
2.5%
76 1
 
2.5%
51 1
 
2.5%
189 1
 
2.5%
Other values (16) 16
40.0%
ValueCountFrequency (%)
2 1
 
2.5%
4 7
17.5%
10 1
 
2.5%
12 1
 
2.5%
20 7
17.5%
25 1
 
2.5%
28 1
 
2.5%
30 2
 
5.0%
40 2
 
5.0%
45 1
 
2.5%
ValueCountFrequency (%)
1758 1
2.5%
1059 1
2.5%
524 1
2.5%
311 1
2.5%
250 1
2.5%
189 1
2.5%
188 1
2.5%
180 1
2.5%
150 1
2.5%
139 1
2.5%

연락처
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-03-15T01:53:41.622163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.125
Min length12

Characters and Unicode

Total characters485
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)80.0%

Sample

1st row061-683-0678
2nd row061-805-9588
3rd row061-681-2377
4th row061-683-0678
5th row061-685-5209
ValueCountFrequency (%)
061-683-0678 4
 
10.0%
061-666-6747 2
 
5.0%
061-643-9452 2
 
5.0%
061-652-5841 1
 
2.5%
061-683-3307 1
 
2.5%
061-681-3571 1
 
2.5%
061-653-0885 1
 
2.5%
061-921-9880 1
 
2.5%
061-691-4441 1
 
2.5%
061-805-9588 1
 
2.5%
Other values (25) 25
62.5%
2024-03-15T01:53:42.727451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 85
17.5%
- 80
16.5%
0 64
13.2%
1 52
10.7%
5 38
7.8%
8 33
 
6.8%
7 31
 
6.4%
2 28
 
5.8%
4 27
 
5.6%
9 25
 
5.2%
Other values (2) 22
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 404
83.3%
Dash Punctuation 80
 
16.5%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 85
21.0%
0 64
15.8%
1 52
12.9%
5 38
9.4%
8 33
 
8.2%
7 31
 
7.7%
2 28
 
6.9%
4 27
 
6.7%
9 25
 
6.2%
3 21
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 485
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 85
17.5%
- 80
16.5%
0 64
13.2%
1 52
10.7%
5 38
7.8%
8 33
 
6.8%
7 31
 
6.4%
2 28
 
5.8%
4 27
 
5.6%
9 25
 
5.2%
Other values (2) 22
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 485
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 85
17.5%
- 80
16.5%
0 64
13.2%
1 52
10.7%
5 38
7.8%
8 33
 
6.8%
7 31
 
6.4%
2 28
 
5.8%
4 27
 
5.6%
9 25
 
5.2%
Other values (2) 22
 
4.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-02-20
40 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-20
2nd row2024-02-20
3rd row2024-02-20
4th row2024-02-20
5th row2024-02-20

Common Values

ValueCountFrequency (%)
2024-02-20 40
100.0%

Length

2024-03-15T01:53:43.030099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:53:43.199746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-20 40
100.0%

Interactions

2024-03-15T01:53:28.045019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:26.600034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:27.363353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:28.339583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:26.860430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:27.622406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:28.578142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:27.114223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:27.855196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:53:43.328700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시 설(단체) 명운영법인설립일자소재지도로명주소종사자수(명)입소자정원(명)회원수(명)연락처
구분1.0001.000NaN1.0000.000NaNNaN0.3640.534
시 설(단체) 명1.0001.0001.0001.0001.0001.0001.0001.0001.000
운영법인NaN1.0001.0001.0000.7860.0000.9331.0001.000
설립일자1.0001.0001.0001.0000.9221.0001.0001.0000.990
소재지도로명주소0.0001.0000.7860.9221.0000.0000.0000.0000.775
종사자수(명)NaN1.0000.0001.0000.0001.0000.6480.5220.000
입소자정원(명)NaN1.0000.9331.0000.0000.6481.0001.0000.976
회원수(명)0.3641.0001.0001.0000.0000.5221.0001.0001.000
연락처0.5341.0001.0000.9900.7750.0000.9761.0001.000
2024-03-15T01:53:43.574077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종사자수(명)입소자정원(명)회원수(명)구분
종사자수(명)1.0000.8610.8611.000
입소자정원(명)0.8611.0001.0001.000
회원수(명)0.8611.0001.0000.423
구분1.0001.0000.4231.000

Missing values

2024-03-15T01:53:28.956937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:53:29.227097image/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.
2024-03-15T01:53:29.437567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분시 설(단체) 명운영법인설립일자소재지도로명주소종사자수(명)입소자정원(명)회원수(명)연락처데이터기준일
0시설동백원사회복지법인 동행1988-01-11전라남도 여수시 소라면 화양로 1953375050061-683-06782024-02-20
1시설가나헌사회복지법인 동행1990-03-21전라남도 여수시 화양면 상전길 199273030061-805-95882024-02-20
2시설에덴동산사회복지법인 전남밀알복지재단2010-02-04전라남도 여수시 소라면 중촌1길11-92132020061-681-23772024-02-20
3시설동행빌리지사회복지법인 동행2018-10-23전라남도 여수시소호7길 36, 101/101(소호동, 프레지던트A)173030061-683-06782024-02-20
4시설더불어사는마을(개인운영)2006-07-03전라남도 여수시 소라면 중승길 45-6112828061-685-52092024-02-20
5시설여수농아원(개인운영)2006-05-22전라남도 여수시 대치1길 60 (여서동)72525061-664-54952024-02-20
6시설더디가더라도사회복지법인 동행2008-12-30전라남도 여수시 도원로 204,502/401 (안산동 부영@)144061-692-06792024-02-20
7시설믿음의집사회복지법인 전남밀알재단2010-01-05전라남도 여수시 선소로 72-13, 309/608(신기동 부영@)144070-8762-71792024-02-20
8시설언젠家는 1호사회복지법인 동행2015-09-09전라남도 여수시 소호5길 39, 3 03/1303 (소호동 주은금호@)144070-4657-72452024-02-20
9시설언젠家는 2호사회복지법인 동행2015-09-09전라남도 여수시 소호5길 39, 310/903 (소호동, 주은금호@)144061-922-57732024-02-20
구분시 설(단체) 명운영법인설립일자소재지도로명주소종사자수(명)입소자정원(명)회원수(명)연락처데이터기준일
30단체(사)전남신체장애인복지회 전남협회 여수시지부<NA>2001-05-09전라남도 여수시 성산로 46(화장동)<NA><NA>1059061-691-44412024-02-20
31단체(사)한국농아인협회전남협회 여수시지부<NA>2003-05-03전라남도 여수시 중앙로39, 4층 (충무동)<NA><NA>139061-666-67472024-02-20
32단체(사)내일을여는멋진여성여수시지회<NA>2005-09-06전라남도 여수시 만성로 173 (미평동)<NA><NA>524061-653-74822024-02-20
33단체여수장애인자립생활센터<NA>2007-07-01전라남도 여수시 학동2길 22,202호 (학동)<NA><NA>75061-643-94522024-02-20
34단체(사)전국장애인부모연대 여수시지회<NA>2009-08-21전라남도 여수시 화산2길 13 (화장동)<NA><NA>188061-652-04202024-02-20
35단체(사)한국장애인경제인협회여수시지부<NA>2010-12-28전라남도 여수시 만성로 173 (미평동)<NA><NA>78061-642-77992024-02-20
36단체(사)한국신장장애인협회 전남협회 여수시지부<NA>2011-11-01전라남도 여수시 여문2로 11, 105호(문수동, 문수종합상가)<NA><NA>189061-655-53532024-02-20
37단체(사)한국척수장애인협회여수시지회<NA>2015-06-09전라남도 여수시 여문2로 15 (문수주공상가 104호)<NA><NA>51061-685-08852024-02-20
38단체(사)한국장애인부모회여수시지부<NA>2015-09-22전라남도 여수시 연등7길 52-1 (연등동)<NA><NA>76061-642-09222024-02-20
39단체(사)한국장애인정보화협회여수시지회<NA>1999-09-12전라남도 여수시 문수로 99, 2층(문수동)<NA><NA>150061-692-51312024-02-20