Overview

Dataset statistics

Number of variables8
Number of observations116
Missing cells50
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory66.1 B

Variable types

Text5
Categorical2
Numeric1

Dataset

Description장애인평생교육기관현황으로 기관명, 기관종류, 우편번호,지역,상세주소, 전화번호,팩스번호, 홈페이지 현황 등을 제공합니다.
Author교육부 국립특수교육원
URLhttps://www.data.go.kr/data/3057850/fileData.do

Alerts

기관종류 has constant value ""Constant
우편번호 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 우편번호High correlation
팩스번호 has 29 (25.0%) missing valuesMissing
홈페이지 has 19 (16.4%) missing valuesMissing
기관명 has unique valuesUnique
상세주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:29:14.216504
Analysis finished2023-12-12 06:29:15.329144
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T15:29:15.515018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length11.275862
Min length2

Characters and Unicode

Total characters1308
Distinct characters184
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row노들장애인야학
2nd row누리평생교육원
3rd row너른마당
4th row장애인아카데미
5th row마을이 신나는 장애인 야학
ValueCountFrequency (%)
평생교육센터 5
 
3.6%
장애인 3
 
2.2%
평생교육원 2
 
1.5%
발달장애인 2
 
1.5%
강북구발달장애인평생교육센터 1
 
0.7%
순천팔마장애인평생교육원 1
 
0.7%
은평발달장애인평생교육센터 1
 
0.7%
중랑구발달장애인평생교육센터 1
 
0.7%
제주장애인평생교육센터 1
 
0.7%
광진발달장애인평생교육센터 1
 
0.7%
Other values (119) 119
86.9%
2023-12-12T15:29:16.228799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 101
 
7.7%
인 96
 
7.3%
애 94
 
7.2%
장 93
 
7.1%
평 79
 
6.0%
생 78
 
6.0%
육 65
 
5.0%
학 51
 
3.9%
터 44
 
3.4%
센 41
 
3.1%
Other values (174) 566
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1279
97.8%
Space Separator 21
 
1.6%
Uppercase Letter 4
 
0.3%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 101
 
7.9%
인 96
 
7.5%
애 94
 
7.3%
장 93
 
7.3%
평 79
 
6.2%
생 78
 
6.1%
육 65
 
5.1%
학 51
 
4.0%
터 44
 
3.4%
센 41
 
3.2%
Other values (167) 537
42.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
I 1
25.0%
L 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1279
97.8%
Common 25
 
1.9%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 101
 
7.9%
인 96
 
7.5%
애 94
 
7.3%
장 93
 
7.3%
평 79
 
6.2%
생 78
 
6.1%
육 65
 
5.1%
학 51
 
4.0%
터 44
 
3.4%
센 41
 
3.2%
Other values (167) 537
42.0%
Latin
ValueCountFrequency (%)
T 1
25.0%
I 1
25.0%
L 1
25.0%
K 1
25.0%
Common
ValueCountFrequency (%)
21
84.0%
( 2
 
8.0%
) 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1279
97.8%
ASCII 29
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 101
 
7.9%
인 96
 
7.5%
애 94
 
7.3%
장 93
 
7.3%
평 79
 
6.2%
생 78
 
6.1%
육 65
 
5.1%
학 51
 
4.0%
터 44
 
3.4%
센 41
 
3.2%
Other values (167) 537
42.0%
ASCII
ValueCountFrequency (%)
21
72.4%
( 2
 
6.9%
) 2
 
6.9%
T 1
 
3.4%
I 1
 
3.4%
L 1
 
3.4%
K 1
 
3.4%

기관종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
장애인평생교육시설
116 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장애인평생교육시설 116
100.0%

Length

2023-12-12T15:29:16.398913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:16.489933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인평생교육시설 116
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct114
Distinct (%)99.1%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean28619.652
Minimum1056
Maximum87966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T15:29:16.605096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1056
5-th percentile2830.3
Q19454.5
median21532
Q350858
95-th percentile61749.6
Maximum87966
Range86910
Interquartile range (IQR)41403.5

Descriptive statistics

Standard deviation21528.937
Coefficient of variation (CV)0.75224314
Kurtosis-1.1110096
Mean28619.652
Median Absolute Deviation (MAD)16481
Skewness0.44327717
Sum3291260
Variance4.6349512 × 108
MonotonicityNot monotonic
2023-12-12T15:29:16.765247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61474 2
 
1.7%
3086 1
 
0.9%
50616 1
 
0.9%
2103 1
 
0.9%
2589 1
 
0.9%
5051 1
 
0.9%
4796 1
 
0.9%
4316 1
 
0.9%
3140 1
 
0.9%
54023 1
 
0.9%
Other values (104) 104
89.7%
ValueCountFrequency (%)
1056 1
0.9%
1408 1
0.9%
1622 1
0.9%
2103 1
0.9%
2589 1
0.9%
2796 1
0.9%
2845 1
0.9%
3086 1
0.9%
3140 1
0.9%
3308 1
0.9%
ValueCountFrequency (%)
87966 1
0.9%
63341 1
0.9%
63309 1
0.9%
63256 1
0.9%
62276 1
0.9%
61765 1
0.9%
61743 1
0.9%
61474 2
1.7%
61248 1
0.9%
61047 1
0.9%

지역
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
서울
29 
경기
26 
경남
10 
인천
8 
광주
7 
Other values (11)
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
서울 29
25.0%
경기 26
22.4%
경남 10
 
8.6%
인천 8
 
6.9%
광주 7
 
6.0%
전남 7
 
6.0%
울산 6
 
5.2%
전북 4
 
3.4%
대구 3
 
2.6%
대전 3
 
2.6%
Other values (6) 13
11.2%

Length

2023-12-12T15:29:16.895468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 29
25.0%
경기 26
22.4%
경남 10
 
8.6%
인천 8
 
6.9%
광주 7
 
6.0%
전남 7
 
6.0%
울산 6
 
5.2%
전북 4
 
3.4%
대구 3
 
2.6%
대전 3
 
2.6%
Other values (6) 13
11.2%

상세주소
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T15:29:17.186726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length25.310345
Min length14

Characters and Unicode

Total characters2936
Distinct characters242
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

Unique116 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 동숭길 25
2nd row서울특별시 강서구 방화동로 126, 삼정코아상가 2층
3rd row서울특별시 성북구 동소문로20다길 10 세창빌딩 5층 사무국
4th row서울특별시 영등포구 영등포로 143, 402호(에이블허브)
5th row서울특별시 성동구 고산자로 320. 2층
ValueCountFrequency (%)
서울특별시 29
 
4.6%
경기도 25
 
3.9%
2층 13
 
2.0%
5층 11
 
1.7%
3층 11
 
1.7%
4층 11
 
1.7%
경남 10
 
1.6%
인천광역시 8
 
1.3%
남구 7
 
1.1%
전라남도 7
 
1.1%
Other values (404) 503
79.2%
2023-12-12T15:29:17.737893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
519
 
17.7%
시 116
 
4.0%
로 105
 
3.6%
구 88
 
3.0%
1 84
 
2.9%
2 82
 
2.8%
, 73
 
2.5%
층 68
 
2.3%
3 68
 
2.3%
4 59
 
2.0%
Other values (232) 1674
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1739
59.2%
Decimal Number 542
 
18.5%
Space Separator 519
 
17.7%
Other Punctuation 75
 
2.6%
Close Punctuation 16
 
0.5%
Open Punctuation 16
 
0.5%
Dash Punctuation 15
 
0.5%
Math Symbol 8
 
0.3%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 116
 
6.7%
로 105
 
6.0%
구 88
 
5.1%
층 68
 
3.9%
도 51
 
2.9%
길 45
 
2.6%
서 44
 
2.5%
광 43
 
2.5%
경 42
 
2.4%
산 41
 
2.4%
Other values (208) 1096
63.0%
Decimal Number
ValueCountFrequency (%)
1 84
15.5%
2 82
15.1%
3 68
12.5%
4 59
10.9%
5 59
10.9%
0 58
10.7%
7 40
7.4%
6 36
6.6%
9 29
 
5.4%
8 27
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
Y 1
16.7%
M 1
16.7%
E 1
16.7%
A 1
16.7%
S 1
16.7%
H 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 73
97.3%
. 1
 
1.3%
/ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
519
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1739
59.2%
Common 1191
40.6%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 116
 
6.7%
로 105
 
6.0%
구 88
 
5.1%
층 68
 
3.9%
도 51
 
2.9%
길 45
 
2.6%
서 44
 
2.5%
광 43
 
2.5%
경 42
 
2.4%
산 41
 
2.4%
Other values (208) 1096
63.0%
Common
ValueCountFrequency (%)
519
43.6%
1 84
 
7.1%
2 82
 
6.9%
, 73
 
6.1%
3 68
 
5.7%
4 59
 
5.0%
5 59
 
5.0%
0 58
 
4.9%
7 40
 
3.4%
6 36
 
3.0%
Other values (8) 113
 
9.5%
Latin
ValueCountFrequency (%)
Y 1
16.7%
M 1
16.7%
E 1
16.7%
A 1
16.7%
S 1
16.7%
H 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1739
59.2%
ASCII 1197
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
519
43.4%
1 84
 
7.0%
2 82
 
6.9%
, 73
 
6.1%
3 68
 
5.7%
4 59
 
4.9%
5 59
 
4.9%
0 58
 
4.8%
7 40
 
3.3%
6 36
 
3.0%
Other values (14) 119
 
9.9%
Hangul
ValueCountFrequency (%)
시 116
 
6.7%
로 105
 
6.0%
구 88
 
5.1%
층 68
 
3.9%
도 51
 
2.9%
길 45
 
2.6%
서 44
 
2.5%
광 43
 
2.5%
경 42
 
2.4%
산 41
 
2.4%
Other values (208) 1096
63.0%

대표전화번호
Text

Distinct114
Distinct (%)99.1%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2023-12-12T15:29:18.054563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.93913
Min length11

Characters and Unicode

Total characters1373
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

Unique113 ?
Unique (%)98.3%

Sample

1st row02-766-9101
2nd row070-4288-0900
3rd row02-921-2171
4th row070-4293-7810
5th row02-2294-2772
ValueCountFrequency (%)
062-233-3933 2
 
1.7%
02-955-7979 1
 
0.9%
070-8800-5133 1
 
0.9%
02-6953-0704 1
 
0.9%
02-921-2229 1
 
0.9%
02-455-1221 1
 
0.9%
02-6952-7942 1
 
0.9%
02-6951-0329 1
 
0.9%
02-942-2223 1
 
0.9%
063-446-4460 1
 
0.9%
Other values (104) 104
90.4%
2023-12-12T15:29:18.493617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 230
16.8%
0 204
14.9%
2 157
11.4%
3 132
9.6%
5 116
8.4%
1 101
7.4%
4 96
7.0%
7 92
 
6.7%
6 89
 
6.5%
9 81
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1143
83.2%
Dash Punctuation 230
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 204
17.8%
2 157
13.7%
3 132
11.5%
5 116
10.1%
1 101
8.8%
4 96
8.4%
7 92
8.0%
6 89
7.8%
9 81
 
7.1%
8 75
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1373
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 230
16.8%
0 204
14.9%
2 157
11.4%
3 132
9.6%
5 116
8.4%
1 101
7.4%
4 96
7.0%
7 92
 
6.7%
6 89
 
6.5%
9 81
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1373
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 230
16.8%
0 204
14.9%
2 157
11.4%
3 132
9.6%
5 116
8.4%
1 101
7.4%
4 96
7.0%
7 92
 
6.7%
6 89
 
6.5%
9 81
 
5.9%

팩스번호
Text

MISSING 

Distinct87
Distinct (%)100.0%
Missing29
Missing (%)25.0%
Memory size1.0 KiB
2023-12-12T15:29:18.820623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.908046
Min length11

Characters and Unicode

Total characters1036
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

Unique87 ?
Unique (%)100.0%

Sample

1st row02-2179-9108
2nd row02-2666-4945
3rd row02-6008-2173
4th row02-833-8415
5th row051-759-0700
ValueCountFrequency (%)
02-2179-9108 1
 
1.1%
02-935-3999 1
 
1.1%
02-942-2224 1
 
1.1%
02-955-7479 1
 
1.1%
02-907-4338 1
 
1.1%
02-909-5085 1
 
1.1%
070-8650-0704 1
 
1.1%
02-921-2289 1
 
1.1%
02-455-1109 1
 
1.1%
02-6952-7952 1
 
1.1%
Other values (77) 77
88.5%
2023-12-12T15:29:19.240639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 174
16.8%
0 158
15.3%
2 126
12.2%
3 97
9.4%
5 93
9.0%
1 69
 
6.7%
4 69
 
6.7%
8 66
 
6.4%
6 64
 
6.2%
7 63
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 862
83.2%
Dash Punctuation 174
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 158
18.3%
2 126
14.6%
3 97
11.3%
5 93
10.8%
1 69
8.0%
4 69
8.0%
8 66
7.7%
6 64
7.4%
7 63
 
7.3%
9 57
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1036
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 174
16.8%
0 158
15.3%
2 126
12.2%
3 97
9.4%
5 93
9.0%
1 69
 
6.7%
4 69
 
6.7%
8 66
 
6.4%
6 64
 
6.2%
7 63
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 174
16.8%
0 158
15.3%
2 126
12.2%
3 97
9.4%
5 93
9.0%
1 69
 
6.7%
4 69
 
6.7%
8 66
 
6.4%
6 64
 
6.2%
7 63
 
6.1%

홈페이지
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing19
Missing (%)16.4%
Memory size1.0 KiB
2023-12-12T15:29:19.461336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length27.185567
Min length15

Characters and Unicode

Total characters2637
Distinct characters52
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st rowhttps://nodl.or.kr/
2nd rowhttp://nurice.co.kr/
3rd rowhttps://m.cafe.daum.net/nurnmadang
4th rowhttp://www.ableacademy.co.kr/
5th rowhttp://knil.org/
ValueCountFrequency (%)
www 1
 
1.0%
http://awec.co.kr 1
 
1.0%
http://www.nowonedu.or.kr 1
 
1.0%
http://www.dobongedu.or.kr 1
 
1.0%
http://www.gbeducenter.or.kr 1
 
1.0%
http://seongbukedu.or.kr 1
 
1.0%
http://jungnangedu.or.kr 1
 
1.0%
http://dongdaemunedu.or.kr 1
 
1.0%
https://gwangjinedu.or.kr 1
 
1.0%
http://seongdongedu.or.kr 1
 
1.0%
Other values (88) 88
89.8%
2023-12-12T15:29:19.826946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 286
 
10.8%
t 230
 
8.7%
. 225
 
8.5%
o 155
 
5.9%
w 136
 
5.2%
r 135
 
5.1%
e 125
 
4.7%
h 124
 
4.7%
p 115
 
4.4%
a 115
 
4.4%
Other values (42) 991
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1945
73.8%
Other Punctuation 606
 
23.0%
Decimal Number 62
 
2.4%
Other Letter 11
 
0.4%
Dash Punctuation 10
 
0.4%
Connector Punctuation 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 230
 
11.8%
o 155
 
8.0%
w 136
 
7.0%
r 135
 
6.9%
e 125
 
6.4%
h 124
 
6.4%
p 115
 
5.9%
a 115
 
5.9%
n 97
 
5.0%
d 84
 
4.3%
Other values (15) 629
32.3%
Other Letter
ValueCountFrequency (%)
애 1
9.1%
교 1
9.1%
학 1
9.1%
생 1
9.1%
평 1
9.1%
인 1
9.1%
양 1
9.1%
장 1
9.1%
른 1
9.1%
푸 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 14
22.6%
0 12
19.4%
9 9
14.5%
7 6
9.7%
4 5
 
8.1%
3 5
 
8.1%
5 4
 
6.5%
8 3
 
4.8%
1 2
 
3.2%
6 2
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 286
47.2%
. 225
37.1%
: 95
 
15.7%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1945
73.8%
Common 681
 
25.8%
Hangul 11
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 230
 
11.8%
o 155
 
8.0%
w 136
 
7.0%
r 135
 
6.9%
e 125
 
6.4%
h 124
 
6.4%
p 115
 
5.9%
a 115
 
5.9%
n 97
 
5.0%
d 84
 
4.3%
Other values (15) 629
32.3%
Common
ValueCountFrequency (%)
/ 286
42.0%
. 225
33.0%
: 95
 
14.0%
2 14
 
2.1%
0 12
 
1.8%
- 10
 
1.5%
9 9
 
1.3%
7 6
 
0.9%
4 5
 
0.7%
3 5
 
0.7%
Other values (6) 14
 
2.1%
Hangul
ValueCountFrequency (%)
애 1
9.1%
교 1
9.1%
학 1
9.1%
생 1
9.1%
평 1
9.1%
인 1
9.1%
양 1
9.1%
장 1
9.1%
른 1
9.1%
푸 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2626
99.6%
Hangul 11
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 286
 
10.9%
t 230
 
8.8%
. 225
 
8.6%
o 155
 
5.9%
w 136
 
5.2%
r 135
 
5.1%
e 125
 
4.8%
h 124
 
4.7%
p 115
 
4.4%
a 115
 
4.4%
Other values (31) 980
37.3%
Hangul
ValueCountFrequency (%)
애 1
9.1%
교 1
9.1%
학 1
9.1%
생 1
9.1%
평 1
9.1%
인 1
9.1%
양 1
9.1%
장 1
9.1%
른 1
9.1%
푸 1
9.1%

Interactions

2023-12-12T15:29:14.756083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:29:19.924022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호지역팩스번호홈페이지
우편번호1.0000.9711.0001.000
지역0.9711.0001.0001.000
팩스번호1.0001.0001.0001.000
홈페이지1.0001.0001.0001.000
2023-12-12T15:29:20.052888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호지역
우편번호1.0000.851
지역0.8511.000

Missing values

2023-12-12T15:29:14.904812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:15.094964image/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.
2023-12-12T15:29:15.242214image/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

기관명기관종류우편번호지역상세주소대표전화번호팩스번호홈페이지
0노들장애인야학장애인평생교육시설3086서울서울특별시 종로구 동숭길 2502-766-910102-2179-9108https://nodl.or.kr/
1누리평생교육원장애인평생교육시설7604서울서울특별시 강서구 방화동로 126, 삼정코아상가 2층070-4288-090002-2666-4945http://nurice.co.kr/
2너른마당장애인평생교육시설2845서울서울특별시 성북구 동소문로20다길 10 세창빌딩 5층 사무국02-921-217102-6008-2173https://m.cafe.daum.net/nurnmadang
3장애인아카데미장애인평생교육시설7266서울서울특별시 영등포구 영등포로 143, 402호(에이블허브)070-4293-781002-833-8415http://www.ableacademy.co.kr/
4마을이 신나는 장애인 야학장애인평생교육시설4749서울서울특별시 성동구 고산자로 320. 2층02-2294-2772<NA>http://knil.org/
5부산장애인평생교육원장애인평생교육시설48234부산부산광역시 수영구 망미로22번길 55051-753-2406051-759-0700http://www.bjpschool.org/
6질라라비장애인야학장애인평생교육시설41076대구대구광역시 동구 동내로 21, SH빌딩 3~5층053-953-9461053-985-9460http://www.jangjigong.org/index.htm
7달성장애인평생교육원장애인평생교육시설42914대구대구광역시 달성군 다사읍 대실역북로1길 29-3(그린빌딩 2층)053-588-7806<NA><NA>
8민들레장애인야학장애인평생교육시설21060인천인천광역시 계양구 계산대로 71 하이베라스빌딩 A동 211, 212호032-551-9294032-232-0739http://www.minschool.or.kr/
9작은자야간학교장애인평생교육시설21510인천인천광역시 남동구 경인로 644번길 2 세아빌딩 601호032-435-4414032-232-0314https://smallor.modoo.at/
기관명기관종류우편번호지역상세주소대표전화번호팩스번호홈페이지
106인천광역시 서구 발달장애인 평생교육센터장애인평생교육시설22770인천인천광역시 서구 봉수대로 539032-583-7942032-583-7943http://www.withtheright.or.kr/
107울산광역시발달장애인평생교육센터장애인평생교육시설44547울산울산광역시 중구 종가로 641, 굿프라임빌딩 4층052-708-2040052-708-2042http://www.ulsanedu.or.kr/
108울산북구발달장애인평생교육센터장애인평생교육시설44242울산울산광역시 북구 화봉로 58, 신화프라자 5층052-293-5015<NA>https://www.instagram.com/bukguedu22/
109울산광역시남구발달장애인평생교육센터장애인평생교육시설<NA>울산울산광역시 남구 중앙로 311(신정동), 3~4층052-276-6600<NA><NA>
110구리시 발달장애인평생교육센터장애인평생교육시설11935경기경기도 구리시 아차산로432번길7031-523-2425031-523-2435http://guri-edu.or.kr/
111의정부시 발달장애인평생교육지원센터장애인평생교육시설11689경기경기도 의정부시 호국로 1319(의정부동, 남평프라자)7층031-821-9960031-821-9965https://www.urp.or.kr/
112시흥시장애인가족지원센터 부설 발달장애인평교육지원센터장애인평생교육시설14923경기경기도 시흥시 은계중앙로 306번길 63, Y프라자 4층, 5층031-313-0693031-313-0694http://www.shfamily.or.kr/
113군산시발달장애인 평생학습관장애인평생교육시설54042전북전라북도 군산시 성산면 강변로 459063-454-5920<NA>https://lll.gunsan.go.kr/main.php
114전남서부권발달장애인평생교육지원센터장애인평생교육시설58655전남전라남도 목포시 영산로 628, 2층061-801-6033061-800-8880http://www.lifelongedu.kr/
115전남동부권발달장애인평생교육지원센터장애인평생교육시설58028전남전라남도 순천시 야흥고개길 108061-741-9270<NA>https://jbp.or.kr/