Overview

Dataset statistics

Number of variables9
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory78.1 B

Variable types

Numeric3
Categorical1
Text5

Dataset

Description인천광역시에 소재하고 있는 장애인의 거주, 지역사회 내 제반 영역의 재활, 직업재활, 의료재활 등에 관한 지원하고 있는 장애인주간보호시설 목록을 제공합니다.(해당 군구 및 기관명)
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103286&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 군구명High correlation
군구명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:44:42.336429
Analysis finished2024-01-28 16:44:43.991373
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-01-29T01:44:44.068035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-01-29T01:44:44.226738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

군구명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
부평구
8 
미추홀구
7 
남동구
7 
계양구
6 
서구
5 
Other values (4)
10 

Length

Max length4
Median length3
Mean length2.9534884
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row중구
2nd row중구
3rd row중구
4th row동구
5th row미추홀구

Common Values

ValueCountFrequency (%)
부평구 8
18.6%
미추홀구 7
16.3%
남동구 7
16.3%
계양구 6
14.0%
서구 5
11.6%
연수구 4
9.3%
중구 3
 
7.0%
강화군 2
 
4.7%
동구 1
 
2.3%

Length

2024-01-29T01:44:44.384557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:44:44.543395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부평구 8
18.6%
미추홀구 7
16.3%
남동구 7
16.3%
계양구 6
14.0%
서구 5
11.6%
연수구 4
9.3%
중구 3
 
7.0%
강화군 2
 
4.7%
동구 1
 
2.3%

기관명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-29T01:44:44.829429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length12.139535
Min length8

Characters and Unicode

Total characters522
Distinct characters96
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

Unique43 ?
Unique (%)100.0%

Sample

1st row중구장애인복지관 주간보호센터
2nd row무지개 주간보호센터
3rd row영종주간보호센터
4th row동구한마음장애인 주간보호센터
5th row미추홀구장애인복지관 주간보호센터
ValueCountFrequency (%)
주간보호센터 41
47.7%
중구장애인복지관 1
 
1.2%
성동 1
 
1.2%
부평장애인복지관 1
 
1.2%
아카펠라 1
 
1.2%
시각)혜인 1
 
1.2%
부흥장애인 1
 
1.2%
나래장애인 1
 
1.2%
꿈이룸장애인 1
 
1.2%
노틀담복지관 1
 
1.2%
Other values (36) 36
41.9%
2024-01-29T01:44:45.267477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 44
 
8.4%
센 43
 
8.2%
43
 
8.2%
호 43
 
8.2%
보 43
 
8.2%
주 43
 
8.2%
간 43
 
8.2%
인 20
 
3.8%
장 19
 
3.6%
애 18
 
3.4%
Other values (86) 163
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
91.2%
Space Separator 43
 
8.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 44
 
9.2%
센 43
 
9.0%
호 43
 
9.0%
보 43
 
9.0%
주 43
 
9.0%
간 43
 
9.0%
인 20
 
4.2%
장 19
 
4.0%
애 18
 
3.8%
지 8
 
1.7%
Other values (82) 152
31.9%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
91.2%
Common 46
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 44
 
9.2%
센 43
 
9.0%
호 43
 
9.0%
보 43
 
9.0%
주 43
 
9.0%
간 43
 
9.0%
인 20
 
4.2%
장 19
 
4.0%
애 18
 
3.8%
지 8
 
1.7%
Other values (82) 152
31.9%
Common
ValueCountFrequency (%)
43
93.5%
) 1
 
2.2%
( 1
 
2.2%
& 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
91.2%
ASCII 46
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 44
 
9.2%
센 43
 
9.0%
호 43
 
9.0%
보 43
 
9.0%
주 43
 
9.0%
간 43
 
9.0%
인 20
 
4.2%
장 19
 
4.0%
애 18
 
3.8%
지 8
 
1.7%
Other values (82) 152
31.9%
ASCII
ValueCountFrequency (%)
43
93.5%
) 1
 
2.2%
( 1
 
2.2%
& 1
 
2.2%

시설장
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-29T01:44:45.519188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9767442
Min length2

Characters and Unicode

Total characters128
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row최상희
2nd row김윤이
3rd row오현철
4th row이민희
5th row조흥식
ValueCountFrequency (%)
이선애 2
 
4.7%
배영애 1
 
2.3%
김경자 1
 
2.3%
김창범 1
 
2.3%
김혜경 1
 
2.3%
정규원 1
 
2.3%
하태현 1
 
2.3%
김진섭 1
 
2.3%
윤정순 1
 
2.3%
차하나 1
 
2.3%
Other values (32) 32
74.4%
2024-01-29T01:44:45.890941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
8.6%
이 8
 
6.2%
정 8
 
6.2%
선 5
 
3.9%
경 5
 
3.9%
미 4
 
3.1%
영 4
 
3.1%
혜 4
 
3.1%
희 4
 
3.1%
상 3
 
2.3%
Other values (55) 72
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
8.6%
이 8
 
6.2%
정 8
 
6.2%
선 5
 
3.9%
경 5
 
3.9%
미 4
 
3.1%
영 4
 
3.1%
혜 4
 
3.1%
희 4
 
3.1%
상 3
 
2.3%
Other values (55) 72
56.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
8.6%
이 8
 
6.2%
정 8
 
6.2%
선 5
 
3.9%
경 5
 
3.9%
미 4
 
3.1%
영 4
 
3.1%
혜 4
 
3.1%
희 4
 
3.1%
상 3
 
2.3%
Other values (55) 72
56.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
8.6%
이 8
 
6.2%
정 8
 
6.2%
선 5
 
3.9%
경 5
 
3.9%
미 4
 
3.1%
영 4
 
3.1%
혜 4
 
3.1%
희 4
 
3.1%
상 3
 
2.3%
Other values (55) 72
56.2%

소재지
Text

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-29T01:44:46.236814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length21.511628
Min length10

Characters and Unicode

Total characters925
Distinct characters134
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

Unique39 ?
Unique (%)90.7%

Sample

1st row중구 매소홀로 10 (신흥동3가)
2nd row중구 우현로62번길 38-3(경동)
3rd row중구 영종해안북로 1000-26 복지동2층
4th row동구 만석로 53 (만석동)
5th row미추홀구 경원대로 714(관교동)
ValueCountFrequency (%)
부평구 8
 
4.4%
남동구 7
 
3.9%
미추홀구 7
 
3.9%
계양구 5
 
2.8%
서구 5
 
2.8%
연수구 4
 
2.2%
중구 3
 
1.7%
3층 3
 
1.7%
2층 3
 
1.7%
석정로 3
 
1.7%
Other values (121) 133
73.5%
2024-01-29T01:44:46.770600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
15.0%
동 45
 
4.9%
구 41
 
4.4%
로 40
 
4.3%
1 39
 
4.2%
) 34
 
3.7%
( 34
 
3.7%
3 29
 
3.1%
2 24
 
2.6%
길 22
 
2.4%
Other values (124) 478
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
53.5%
Decimal Number 192
 
20.8%
Space Separator 139
 
15.0%
Close Punctuation 34
 
3.7%
Open Punctuation 34
 
3.7%
Other Punctuation 20
 
2.2%
Dash Punctuation 11
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
 
9.1%
구 41
 
8.3%
로 40
 
8.1%
길 22
 
4.4%
번 18
 
3.6%
부 13
 
2.6%
평 12
 
2.4%
층 12
 
2.4%
남 10
 
2.0%
홀 9
 
1.8%
Other values (108) 273
55.2%
Decimal Number
ValueCountFrequency (%)
1 39
20.3%
3 29
15.1%
2 24
12.5%
5 22
11.5%
0 21
10.9%
7 18
9.4%
4 12
 
6.2%
8 11
 
5.7%
9 9
 
4.7%
6 7
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
53.5%
Common 430
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
 
9.1%
구 41
 
8.3%
로 40
 
8.1%
길 22
 
4.4%
번 18
 
3.6%
부 13
 
2.6%
평 12
 
2.4%
층 12
 
2.4%
남 10
 
2.0%
홀 9
 
1.8%
Other values (108) 273
55.2%
Common
ValueCountFrequency (%)
139
32.3%
1 39
 
9.1%
) 34
 
7.9%
( 34
 
7.9%
3 29
 
6.7%
2 24
 
5.6%
5 22
 
5.1%
0 21
 
4.9%
, 19
 
4.4%
7 18
 
4.2%
Other values (6) 51
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
53.5%
ASCII 430
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
32.3%
1 39
 
9.1%
) 34
 
7.9%
( 34
 
7.9%
3 29
 
6.7%
2 24
 
5.6%
5 22
 
5.1%
0 21
 
4.9%
, 19
 
4.4%
7 18
 
4.2%
Other values (6) 51
 
11.9%
Hangul
ValueCountFrequency (%)
동 45
 
9.1%
구 41
 
8.3%
로 40
 
8.1%
길 22
 
4.4%
번 18
 
3.6%
부 13
 
2.6%
평 12
 
2.4%
층 12
 
2.4%
남 10
 
2.0%
홀 9
 
1.8%
Other values (108) 273
55.2%

전화번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-29T01:44:47.038576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length20.930233
Min length12

Characters and Unicode

Total characters900
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row032)880-2470, 032)891-0533
2nd row032)762-3303, 032)765-3305
3rd row032)747-0421
4th row032)724-9501, 032)880-9527
5th row032)426-1382, 032)426-1386
ValueCountFrequency (%)
032)542-3711 2
 
2.8%
032)880-2470 1
 
1.4%
032)330-1307 1
 
1.4%
032)818-2094 1
 
1.4%
032)513-9300 1
 
1.4%
032)232-0191 1
 
1.4%
070-7562-9125 1
 
1.4%
032)330-1308 1
 
1.4%
032)517-0631 1
 
1.4%
032)506-6596 1
 
1.4%
Other values (60) 60
84.5%
2024-01-29T01:44:47.466078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 126
14.0%
3 122
13.6%
2 116
12.9%
- 74
8.2%
) 66
7.3%
8 59
6.6%
7 54
6.0%
1 51
 
5.7%
6 50
 
5.6%
4 49
 
5.4%
Other values (4) 133
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
78.2%
Dash Punctuation 74
 
8.2%
Close Punctuation 66
 
7.3%
Space Separator 29
 
3.2%
Other Punctuation 27
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
17.9%
3 122
17.3%
2 116
16.5%
8 59
8.4%
7 54
7.7%
1 51
7.2%
6 50
 
7.1%
4 49
 
7.0%
5 45
 
6.4%
9 32
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 126
14.0%
3 122
13.6%
2 116
12.9%
- 74
8.2%
) 66
7.3%
8 59
6.6%
7 54
6.0%
1 51
 
5.7%
6 50
 
5.6%
4 49
 
5.4%
Other values (4) 133
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 126
14.0%
3 122
13.6%
2 116
12.9%
- 74
8.2%
) 66
7.3%
8 59
6.6%
7 54
6.0%
1 51
 
5.7%
6 50
 
5.6%
4 49
 
5.4%
Other values (4) 133
14.8%

종사자
Real number (ℝ)

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7674419
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-01-29T01:44:47.642447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q35
95-th percentile6.9
Maximum7
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1092084
Coefficient of variation (CV)0.23266323
Kurtosis0.10324148
Mean4.7674419
Median Absolute Deviation (MAD)1
Skewness0.047441342
Sum205
Variance1.2303433
MonotonicityNot monotonic
2024-01-29T01:44:48.194669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 15
34.9%
4 14
32.6%
6 7
16.3%
3 3
 
7.0%
7 3
 
7.0%
2 1
 
2.3%
ValueCountFrequency (%)
2 1
 
2.3%
3 3
 
7.0%
4 14
32.6%
5 15
34.9%
6 7
16.3%
7 3
 
7.0%
ValueCountFrequency (%)
7 3
 
7.0%
6 7
16.3%
5 15
34.9%
4 14
32.6%
3 3
 
7.0%
2 1
 
2.3%

정원
Real number (ℝ)

Distinct7
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.372093
Minimum12
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-01-29T01:44:48.316933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q113
median15
Q316
95-th percentile20
Maximum24
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8704011
Coefficient of variation (CV)0.18672806
Kurtosis0.92703618
Mean15.372093
Median Absolute Deviation (MAD)1
Skewness0.94341379
Sum661
Variance8.2392027
MonotonicityNot monotonic
2024-01-29T01:44:48.451628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
15 14
32.6%
12 11
25.6%
16 10
23.3%
20 5
 
11.6%
24 1
 
2.3%
21 1
 
2.3%
14 1
 
2.3%
ValueCountFrequency (%)
12 11
25.6%
14 1
 
2.3%
15 14
32.6%
16 10
23.3%
20 5
 
11.6%
21 1
 
2.3%
24 1
 
2.3%
ValueCountFrequency (%)
24 1
 
2.3%
21 1
 
2.3%
20 5
 
11.6%
16 10
23.3%
15 14
32.6%
14 1
 
2.3%
12 11
25.6%

운영주체
Text

Distinct33
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-29T01:44:48.714257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length10.860465
Min length5

Characters and Unicode

Total characters467
Distinct characters80
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

Unique28 ?
Unique (%)65.1%

Sample

1st row(사복)미선
2nd row사단)한국지적 장애인복지협회 인천중구지부
3rd row사단)인천장애인부모회 중구지부
4th row재단)한원사회 복지재단
5th row재단)대한성공 유지재단
ValueCountFrequency (%)
사단)인천장애인부모회 8
 
14.5%
사회적협동조합동그라미 2
 
3.6%
사복)기독교대한감리회 2
 
3.6%
재단)노틀담수녀회 2
 
3.6%
사복)신성재단 2
 
3.6%
사복)미선 2
 
3.6%
사복)예원 1
 
1.8%
사복)대한성공회서울교구 1
 
1.8%
사회적협동조합 1
 
1.8%
민달팽이 1
 
1.8%
Other values (33) 33
60.0%
2024-01-29T01:44:49.126950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 38
 
8.1%
) 36
 
7.7%
단 36
 
7.7%
인 31
 
6.6%
회 27
 
5.8%
복 20
 
4.3%
지 16
 
3.4%
장 16
 
3.4%
재 16
 
3.4%
애 15
 
3.2%
Other values (70) 216
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
89.3%
Close Punctuation 36
 
7.7%
Space Separator 13
 
2.8%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 38
 
9.1%
단 36
 
8.6%
인 31
 
7.4%
회 27
 
6.5%
복 20
 
4.8%
지 16
 
3.8%
장 16
 
3.8%
재 16
 
3.8%
애 15
 
3.6%
부 15
 
3.6%
Other values (67) 187
44.8%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
89.3%
Common 50
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 38
 
9.1%
단 36
 
8.6%
인 31
 
7.4%
회 27
 
6.5%
복 20
 
4.8%
지 16
 
3.8%
장 16
 
3.8%
재 16
 
3.8%
애 15
 
3.6%
부 15
 
3.6%
Other values (67) 187
44.8%
Common
ValueCountFrequency (%)
) 36
72.0%
13
 
26.0%
( 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
89.3%
ASCII 50
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 38
 
9.1%
단 36
 
8.6%
인 31
 
7.4%
회 27
 
6.5%
복 20
 
4.8%
지 16
 
3.8%
장 16
 
3.8%
재 16
 
3.8%
애 15
 
3.6%
부 15
 
3.6%
Other values (67) 187
44.8%
ASCII
ValueCountFrequency (%)
) 36
72.0%
13
 
26.0%
( 1
 
2.0%

Interactions

2024-01-29T01:44:43.436333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:42.862109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:43.140072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:43.522096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:42.949560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:43.237864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:43.617801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:43.045338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:43.338110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:44:49.249589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구명기관명시설장소재지전화번호종사자정원운영주체
연번1.0000.8831.0001.0000.9641.0000.0900.3920.869
군구명0.8831.0001.0001.0001.0001.0000.0000.3000.951
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.0001.0000.0001.000
소재지0.9641.0001.0001.0001.0001.0000.9680.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
종사자0.0900.0001.0001.0000.9681.0001.0000.4940.932
정원0.3920.3001.0000.0000.0001.0000.4941.0000.764
운영주체0.8690.9511.0001.0001.0001.0000.9320.7641.000
2024-01-29T01:44:49.401273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자정원군구명
연번1.0000.0470.1330.678
종사자0.0471.0000.4490.000
정원0.1330.4491.0000.142
군구명0.6780.0000.1421.000

Missing values

2024-01-29T01:44:43.767087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:44:43.926449image/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

연번군구명기관명시설장소재지전화번호종사자정원운영주체
01중구중구장애인복지관 주간보호센터최상희중구 매소홀로 10 (신흥동3가)032)880-2470, 032)891-0533512(사복)미선
12중구무지개 주간보호센터김윤이중구 우현로62번길 38-3(경동)032)762-3303, 032)765-3305416사단)한국지적 장애인복지협회 인천중구지부
23중구영종주간보호센터오현철중구 영종해안북로 1000-26 복지동2층032)747-0421516사단)인천장애인부모회 중구지부
34동구동구한마음장애인 주간보호센터이민희동구 만석로 53 (만석동)032)724-9501, 032)880-9527512재단)한원사회 복지재단
45미추홀구미추홀구장애인복지관 주간보호센터조흥식미추홀구 경원대로 714(관교동)032)426-1382, 032)426-1386412재단)대한성공 유지재단
56미추홀구시각장애인복지관 주간보호센터이춘노미추홀구 한나루로길 357번길 105-19(학익동)032)876-3500, 032)876-6633415사단)인천시각 장애인연합회
67미추홀구미추나래 주간보호센터소완영미추홀구 석정로 102번길 11(숭의동)032)888-6674, 032)886-6683620사회적협동조합동그라미
78미추홀구신장장애인 주간보호센터원훈미추홀구 미추홀대로 716, 207호032)868-8806315사단)신장협회
89미추홀구늘푸른샘 주간보호센터류주미미추홀구 인하로 405번길 7(관교동)032)427-6929, 032)425-6996620사단)기독교국제선교협회
910미추홀구미추홀장애 주간보호센터오미정미추홀구 염창동 97 (주안동)032)876-8183, 032)876-8416315사단법인 온세상나눔재단
연번군구명기관명시설장소재지전화번호종사자정원운영주체
3334계양구해도두리 주간보호센터고정구계양구 장재로 708, 401호 (작전동 한샘프라자)032)542-1287, 032)543-1287512사단)장애인부모연대
3435계양구예원 주간보호센터이하늬계양구 효서로 92032)553-1220616사복)예원
3536계양구더행복한장애인 주간보호센터김창경계양구 아나지로 198번길 10, 302호(효성동, 골드프라자)070-4111-7393512사단)인천장애인부모회
3637서구태화인천장애인 주간보호센터양정미서구 심곡로124번길 10(심곡동)032)568-3247, 032)568-3271520사복)기독교대한감리회
3738서구서구장애인복지관 주간보호센터김혜묵서구 드림로 284-8 (백석동)032)569-1244 , 032)569-1243415사복)기독교대한감리회
3839서구느티나무 주간보호센터강동현서구 심곡로100번길 8-11 (심곡동)070-8633-8246, 070-7500-0601720사복)한원복지재단
3940서구해피로드장애인 주간보호센터한윤종서구 가정로125번길 12, 2층(가좌동)032)574-7041516사단)인천중증장애인복지진흥회
4041서구구립 서로이음 장애인주간보호센터정상미서구 완정로 153, 4층(왕길동)032)567-2365515사단)전국장애인부모연대
4142강화군마리아 주간보호센터김경자강화군 길상면 해란길 63(온수리)032)937-9075415사복)대한성공회서울교구
4243강화군강화장애인복지관 주간보호센터한은열강화군 강화읍 충렬사로 63 (남산리)032)934-8464, 032)934-8082415사복)대한불교 조계종