Overview

Dataset statistics

Number of variables23
Number of observations100
Missing cells229
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory193.3 B

Variable types

Text11
Categorical3
Numeric8
Unsupported1

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=69270d70-fe2a-11ea-9d31-b9e02b707df2

Alerts

복지시설업태명 is highly imbalanced (55.2%)Imbalance
복지시설영문명 has 75 (75.0%) missing valuesMissing
복지시설홈페이지주소 has 27 (27.0%) missing valuesMissing
복지시설빌딩관리번호 has 22 (22.0%) missing valuesMissing
운영법인명 has 5 (5.0%) missing valuesMissing
운영법인업태명 has 100 (100.0%) missing valuesMissing
복지시설코드 has unique valuesUnique
운영법인업태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 13:31:55.124883
Analysis finished2023-12-10 13:31:56.019254
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

복지시설코드
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:56.398760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters500
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowA0001
2nd rowA0002
3rd rowA0003
4th rowA0004
5th rowA0007
ValueCountFrequency (%)
a0001 1
 
1.0%
a0085 1
 
1.0%
a0103 1
 
1.0%
a0100 1
 
1.0%
a0099 1
 
1.0%
a0098 1
 
1.0%
a0095 1
 
1.0%
a0094 1
 
1.0%
a0093 1
 
1.0%
a0091 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:31:57.069936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 191
38.2%
A 100
20.0%
1 55
 
11.0%
3 28
 
5.6%
2 23
 
4.6%
4 21
 
4.2%
9 19
 
3.8%
5 19
 
3.8%
7 16
 
3.2%
6 15
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 191
47.8%
1 55
 
13.8%
3 28
 
7.0%
2 23
 
5.8%
4 21
 
5.2%
9 19
 
4.8%
5 19
 
4.8%
7 16
 
4.0%
6 15
 
3.8%
8 13
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 191
47.8%
1 55
 
13.8%
3 28
 
7.0%
2 23
 
5.8%
4 21
 
5.2%
9 19
 
4.8%
5 19
 
4.8%
7 16
 
4.0%
6 15
 
3.8%
8 13
 
3.2%
Latin
ValueCountFrequency (%)
A 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 191
38.2%
A 100
20.0%
1 55
 
11.0%
3 28
 
5.6%
2 23
 
4.6%
4 21
 
4.2%
9 19
 
3.8%
5 19
 
3.8%
7 16
 
3.2%
6 15
 
3.0%
Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:57.431184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.82
Min length3

Characters and Unicode

Total characters682
Distinct characters152
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

Unique98 ?
Unique (%)98.0%

Sample

1st row서울꽃동네신내노인요양원
2nd row청운양로원
3rd row청운노인요양원
4th row홍파양로원
5th row천사노인요양원
ValueCountFrequency (%)
영락양로원 2
 
1.8%
2
 
1.8%
보은의집 2
 
1.8%
기쁨이가득한집 1
 
0.9%
인영실버 1
 
0.9%
노인요양센터 1
 
0.9%
시립고덕양로원 1
 
0.9%
상애노인전문요양원 1
 
0.9%
상애원 1
 
0.9%
고향의 1
 
0.9%
Other values (96) 96
88.1%
2023-12-10T22:31:57.962572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
10.1%
60
 
8.8%
47
 
6.9%
39
 
5.7%
33
 
4.8%
14
 
2.1%
14
 
2.1%
13
 
1.9%
12
 
1.8%
11
 
1.6%
Other values (142) 370
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
98.4%
Space Separator 9
 
1.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
69
 
10.3%
60
 
8.9%
47
 
7.0%
39
 
5.8%
33
 
4.9%
14
 
2.1%
14
 
2.1%
13
 
1.9%
12
 
1.8%
11
 
1.6%
Other values (139) 359
53.5%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
98.4%
Common 11
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
69
 
10.3%
60
 
8.9%
47
 
7.0%
39
 
5.8%
33
 
4.9%
14
 
2.1%
14
 
2.1%
13
 
1.9%
12
 
1.8%
11
 
1.6%
Other values (139) 359
53.5%
Common
ValueCountFrequency (%)
9
81.8%
( 1
 
9.1%
) 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
98.4%
ASCII 11
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
69
 
10.3%
60
 
8.9%
47
 
7.0%
39
 
5.8%
33
 
4.9%
14
 
2.1%
14
 
2.1%
13
 
1.9%
12
 
1.8%
11
 
1.6%
Other values (139) 359
53.5%
ASCII
ValueCountFrequency (%)
9
81.8%
( 1
 
9.1%
) 1
 
9.1%

복지시설영문명
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing75
Missing (%)75.0%
Memory size932.0 B
2023-12-10T22:31:58.270370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length21
Mean length17.56
Min length6

Characters and Unicode

Total characters439
Distinct characters48
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowLotusvill
2nd rowHwaSeongSi Dong tan senior welfare center
3rd rowhmtown
4th rowkamcheonjang
5th rowsungsimwon
ValueCountFrequency (%)
home 4
 
6.9%
senior 4
 
6.9%
house 3
 
5.2%
welfare 2
 
3.4%
nursing 2
 
3.4%
bethel 2
 
3.4%
luise 1
 
1.7%
the 1
 
1.7%
of 1
 
1.7%
peace 1
 
1.7%
Other values (37) 37
63.8%
2023-12-10T22:31:58.783621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 51
 
11.6%
33
 
7.5%
o 33
 
7.5%
e 33
 
7.5%
a 26
 
5.9%
g 20
 
4.6%
i 19
 
4.3%
s 17
 
3.9%
u 16
 
3.6%
r 15
 
3.4%
Other values (38) 176
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 317
72.2%
Uppercase Letter 85
 
19.4%
Space Separator 33
 
7.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 51
16.1%
o 33
10.4%
e 33
10.4%
a 26
 
8.2%
g 20
 
6.3%
i 19
 
6.0%
s 17
 
5.4%
u 16
 
5.0%
r 15
 
4.7%
h 15
 
4.7%
Other values (13) 72
22.7%
Uppercase Letter
ValueCountFrequency (%)
E 12
14.1%
S 11
12.9%
O 10
11.8%
N 6
 
7.1%
H 6
 
7.1%
A 5
 
5.9%
U 4
 
4.7%
Y 4
 
4.7%
R 4
 
4.7%
I 3
 
3.5%
Other values (10) 20
23.5%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 402
91.6%
Common 37
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 51
 
12.7%
o 33
 
8.2%
e 33
 
8.2%
a 26
 
6.5%
g 20
 
5.0%
i 19
 
4.7%
s 17
 
4.2%
u 16
 
4.0%
r 15
 
3.7%
h 15
 
3.7%
Other values (33) 157
39.1%
Common
ValueCountFrequency (%)
33
89.2%
) 1
 
2.7%
( 1
 
2.7%
- 1
 
2.7%
. 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 439
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 51
 
11.6%
33
 
7.5%
o 33
 
7.5%
e 33
 
7.5%
a 26
 
5.9%
g 20
 
4.6%
i 19
 
4.3%
s 17
 
3.9%
u 16
 
3.6%
r 15
 
3.4%
Other values (38) 176
40.1%

복지시설업태명
Categorical

IMBALANCE 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
72 
비영리
12 
서비스
 
3
보건업
 
3
사회복지
 
2
Other values (8)

Length

Max length6
Median length4
Mean length3.82
Min length2

Unique

Unique8 ?
Unique (%)8.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row비영리

Common Values

ValueCountFrequency (%)
<NA> 72
72.0%
비영리 12
 
12.0%
서비스 3
 
3.0%
보건업 3
 
3.0%
사회복지 2
 
2.0%
공공기관 1
 
1.0%
노인 1
 
1.0%
기타서비스업 1
 
1.0%
써비스 1
 
1.0%
비영리법인 1
 
1.0%
Other values (3) 3
 
3.0%

Length

2023-12-10T22:31:59.020178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 72
72.0%
비영리 12
 
12.0%
서비스 3
 
3.0%
보건업 3
 
3.0%
사회복지 2
 
2.0%
공공기관 1
 
1.0%
노인 1
 
1.0%
기타서비스업 1
 
1.0%
써비스 1
 
1.0%
비영리법인 1
 
1.0%
Other values (3) 3
 
3.0%
Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:59.496696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.98
Min length2

Characters and Unicode

Total characters298
Distinct characters101
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

Unique98 ?
Unique (%)98.0%

Sample

1st row최은숙
2nd row이종명
3rd row이종후
4th row김우리
5th row김샛별
ValueCountFrequency (%)
신현권 2
 
2.0%
김영희 1
 
1.0%
고경수 1
 
1.0%
이은경 1
 
1.0%
김병한 1
 
1.0%
김민희 1
 
1.0%
박기아 1
 
1.0%
김희찬 1
 
1.0%
이수하 1
 
1.0%
임헌건 1
 
1.0%
Other values (89) 89
89.0%
2023-12-10T22:32:00.141752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
8.7%
17
 
5.7%
12
 
4.0%
10
 
3.4%
9
 
3.0%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
Other values (91) 189
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
8.7%
17
 
5.7%
12
 
4.0%
10
 
3.4%
9
 
3.0%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
Other values (91) 189
63.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
8.7%
17
 
5.7%
12
 
4.0%
10
 
3.4%
9
 
3.0%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
Other values (91) 189
63.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
 
8.7%
17
 
5.7%
12
 
4.0%
10
 
3.4%
9
 
3.0%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
Other values (91) 189
63.4%
Distinct71
Distinct (%)97.3%
Missing27
Missing (%)27.0%
Memory size932.0 B
2023-12-10T22:32:00.524793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length19.356164
Min length10

Characters and Unicode

Total characters1413
Distinct characters40
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

Unique69 ?
Unique (%)94.5%

Sample

1st rowwww.chungwoon.or.kr
2nd rowhttp://www.chungwoon.or.kr
3rd rowsilver.hongpa.or.kr
4th rowwww.yongin-lotusvill.or.kr
5th rowwww.ph.or.kr
ValueCountFrequency (%)
hannawon.or.kr 2
 
2.7%
www.ulsansilver.or.kr 2
 
2.7%
www.boeunsilver.com 1
 
1.4%
http://www.tegowon.kr 1
 
1.4%
http://sangaewon.com 1
 
1.4%
sangaewon.com 1
 
1.4%
www.cyworld.com/homevillage 1
 
1.4%
www.namjejuhome.or.kr 1
 
1.4%
www.yang-ji.net 1
 
1.4%
www.jjwelfare.or.kr 1
 
1.4%
Other values (61) 61
83.6%
2023-12-10T22:32:01.071519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 202
14.3%
. 181
12.8%
o 124
 
8.8%
r 114
 
8.1%
n 86
 
6.1%
e 62
 
4.4%
k 60
 
4.2%
a 54
 
3.8%
h 48
 
3.4%
c 47
 
3.3%
Other values (30) 435
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1158
82.0%
Other Punctuation 237
 
16.8%
Decimal Number 9
 
0.6%
Other Letter 6
 
0.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 202
17.4%
o 124
 
10.7%
r 114
 
9.8%
n 86
 
7.4%
e 62
 
5.4%
k 60
 
5.2%
a 54
 
4.7%
h 48
 
4.1%
c 47
 
4.1%
t 45
 
3.9%
Other values (13) 316
27.3%
Decimal Number
ValueCountFrequency (%)
8 2
22.2%
5 2
22.2%
9 1
11.1%
4 1
11.1%
0 1
11.1%
3 1
11.1%
1 1
11.1%
Other Letter
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 181
76.4%
/ 40
 
16.9%
: 16
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1158
82.0%
Common 249
 
17.6%
Hangul 6
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 202
17.4%
o 124
 
10.7%
r 114
 
9.8%
n 86
 
7.4%
e 62
 
5.4%
k 60
 
5.2%
a 54
 
4.7%
h 48
 
4.1%
c 47
 
4.1%
t 45
 
3.9%
Other values (13) 316
27.3%
Common
ValueCountFrequency (%)
. 181
72.7%
/ 40
 
16.1%
: 16
 
6.4%
- 3
 
1.2%
8 2
 
0.8%
5 2
 
0.8%
9 1
 
0.4%
4 1
 
0.4%
0 1
 
0.4%
3 1
 
0.4%
Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1407
99.6%
Hangul 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 202
14.4%
. 181
12.9%
o 124
 
8.8%
r 114
 
8.1%
n 86
 
6.1%
e 62
 
4.4%
k 60
 
4.3%
a 54
 
3.8%
h 48
 
3.4%
c 47
 
3.3%
Other values (24) 429
30.5%
Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:01.390444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length26.48
Min length4

Characters and Unicode

Total characters2648
Distinct characters59
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)89.0%

Sample

1st rowc2lua2Zsb3dlckBoYW5tYWlsLm5ldA==
2nd rowY3dzaG9tZUBoYW5tYWlsLm5ldA==
3rd rowY3dzaG9tZUBoYW5tYWlsLm5ldA==
4th rowaG9uZ3BhNzNAaGFubWFpbC5uZXQ=
5th rowY2hjaDgzODNAbmF2ZXIuY29t
ValueCountFrequency (%)
ma 7
 
7.0%
y3dzag9tzuboyw5tywlslm5lda 2
 
2.0%
c2fuz2fld29uqghhbm1hawwubmv0 2
 
2.0%
bhvpc2u4mje0qg5hdmvylmnvbq 1
 
1.0%
bwfuc29vmtq0n0boyw5tywlslm5lda 1
 
1.0%
ewvkyw05otkzqghhbm1hawwubmv0 1
 
1.0%
chl1bmdhbmhvbwvaagfubwfpbc5uzxq 1
 
1.0%
ymhpbnrlbgtpbuboyw5tywlslm5lda 1
 
1.0%
njl5yw5ncm9aagfubwfpbc5uzxq 1
 
1.0%
z28ymjmyqghhbm1hawwubmv0 1
 
1.0%
Other values (82) 82
82.0%
2023-12-10T22:32:01.914032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
b 153
 
5.8%
W 135
 
5.1%
= 114
 
4.3%
5 113
 
4.3%
m 111
 
4.2%
u 104
 
3.9%
Y 97
 
3.7%
Z 91
 
3.4%
F 85
 
3.2%
l 83
 
3.1%
Other values (49) 1562
59.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1111
42.0%
Uppercase Letter 1074
40.6%
Decimal Number 349
 
13.2%
Math Symbol 114
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
b 153
13.8%
m 111
 
10.0%
u 104
 
9.4%
l 83
 
7.5%
h 82
 
7.4%
d 74
 
6.7%
a 71
 
6.4%
t 54
 
4.9%
c 45
 
4.1%
p 40
 
3.6%
Other values (16) 294
26.5%
Uppercase Letter
ValueCountFrequency (%)
W 135
12.6%
Y 97
 
9.0%
Z 91
 
8.5%
F 85
 
7.9%
G 77
 
7.2%
A 76
 
7.1%
Q 63
 
5.9%
M 55
 
5.1%
X 51
 
4.7%
N 50
 
4.7%
Other values (14) 294
27.4%
Decimal Number
ValueCountFrequency (%)
5 113
32.4%
2 81
23.2%
0 45
 
12.9%
9 36
 
10.3%
3 34
 
9.7%
1 31
 
8.9%
4 6
 
1.7%
8 3
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2185
82.5%
Common 463
 
17.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
b 153
 
7.0%
W 135
 
6.2%
m 111
 
5.1%
u 104
 
4.8%
Y 97
 
4.4%
Z 91
 
4.2%
F 85
 
3.9%
l 83
 
3.8%
h 82
 
3.8%
G 77
 
3.5%
Other values (40) 1167
53.4%
Common
ValueCountFrequency (%)
= 114
24.6%
5 113
24.4%
2 81
17.5%
0 45
 
9.7%
9 36
 
7.8%
3 34
 
7.3%
1 31
 
6.7%
4 6
 
1.3%
8 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
b 153
 
5.8%
W 135
 
5.1%
= 114
 
4.3%
5 113
 
4.3%
m 111
 
4.2%
u 104
 
3.9%
Y 97
 
3.7%
Z 91
 
3.4%
F 85
 
3.2%
l 83
 
3.1%
Other values (49) 1562
59.0%

복지시설우편번호
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38167.06
Minimum1623
Maximum325813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:02.173724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1623
5-th percentile5123.3
Q117343
median27037.5
Q355738
95-th percentile63314.75
Maximum325813
Range324190
Interquartile range (IQR)38395

Descriptive statistics

Standard deviation38803.029
Coefficient of variation (CV)1.0166628
Kurtosis32.737449
Mean38167.06
Median Absolute Deviation (MAD)15889
Skewness4.8930592
Sum3816706
Variance1.5056751 × 109
MonotonicityNot monotonic
2023-12-10T22:32:02.376523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44417 3
 
3.0%
63076 3
 
3.0%
62075 2
 
2.0%
1623 2
 
2.0%
3001 2
 
2.0%
24417 2
 
2.0%
17343 2
 
2.0%
63144 2
 
2.0%
26455 2
 
2.0%
32941 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
1623 2
2.0%
2052 1
1.0%
3001 2
2.0%
5235 1
1.0%
7704 1
1.0%
8632 1
1.0%
8656 1
1.0%
8718 1
1.0%
10290 1
1.0%
10953 1
1.0%
ValueCountFrequency (%)
325813 1
 
1.0%
200600 1
 
1.0%
63509 1
 
1.0%
63361 1
 
1.0%
63348 1
 
1.0%
63313 1
 
1.0%
63305 1
 
1.0%
63144 2
2.0%
63076 3
3.0%
63065 1
 
1.0%
Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:02.807105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length16.45
Min length11

Characters and Unicode

Total characters1645
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)90.0%

Sample

1st row서울특별시 중랑구 신내로
2nd row서울특별시 종로구 구기동
3rd row서울특별시 종로구 비봉길
4th row서울특별시 노원구 동일로248길
5th row서울특별시 강서구 강서로45다길
ValueCountFrequency (%)
경기도 19
 
5.4%
강원도 18
 
5.1%
제주특별자치도 13
 
3.7%
제주시 12
 
3.4%
서울특별시 10
 
2.8%
전라북도 6
 
1.7%
충청북도 6
 
1.7%
전라남도 5
 
1.4%
서구 5
 
1.4%
충청남도 4
 
1.1%
Other values (207) 255
72.2%
2023-12-10T22:32:03.860300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
19.6%
81
 
4.9%
78
 
4.7%
67
 
4.1%
57
 
3.5%
39
 
2.4%
38
 
2.3%
32
 
1.9%
29
 
1.8%
29
 
1.8%
Other values (178) 872
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
76.5%
Space Separator 323
 
19.6%
Decimal Number 63
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
 
6.4%
78
 
6.2%
67
 
5.3%
57
 
4.5%
39
 
3.1%
38
 
3.0%
32
 
2.5%
29
 
2.3%
29
 
2.3%
28
 
2.2%
Other values (167) 781
62.0%
Decimal Number
ValueCountFrequency (%)
1 12
19.0%
2 11
17.5%
4 9
14.3%
8 7
11.1%
9 6
9.5%
3 6
9.5%
6 4
 
6.3%
5 4
 
6.3%
0 3
 
4.8%
7 1
 
1.6%
Space Separator
ValueCountFrequency (%)
323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1259
76.5%
Common 386
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
 
6.4%
78
 
6.2%
67
 
5.3%
57
 
4.5%
39
 
3.1%
38
 
3.0%
32
 
2.5%
29
 
2.3%
29
 
2.3%
28
 
2.2%
Other values (167) 781
62.0%
Common
ValueCountFrequency (%)
323
83.7%
1 12
 
3.1%
2 11
 
2.8%
4 9
 
2.3%
8 7
 
1.8%
9 6
 
1.6%
3 6
 
1.6%
6 4
 
1.0%
5 4
 
1.0%
0 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1259
76.5%
ASCII 386
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
83.7%
1 12
 
3.1%
2 11
 
2.8%
4 9
 
2.3%
8 7
 
1.8%
9 6
 
1.6%
3 6
 
1.6%
6 4
 
1.0%
5 4
 
1.0%
0 3
 
0.8%
Hangul
ValueCountFrequency (%)
81
 
6.4%
78
 
6.2%
67
 
5.3%
57
 
4.5%
39
 
3.1%
38
 
3.0%
32
 
2.5%
29
 
2.3%
29
 
2.3%
28
 
2.2%
Other values (167) 781
62.0%

복지시설빌딩관리번호
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)93.6%
Missing22
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean3.8187559 × 1024
Minimum1.1260106 × 1024
Maximum5.013025 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:04.095685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1260106 × 1024
5-th percentile1.1538353 × 1024
Q13.1110109 × 1024
median4.1810297 × 1024
Q34.517535 × 1024
95-th percentile5.0110253 × 1024
Maximum5.013025 × 1024
Range3.8870144 × 1024
Interquartile range (IQR)1.4065241 × 1024

Descriptive statistics

Standard deviation1.1377399 × 1024
Coefficient of variation (CV)0.29793472
Kurtosis0.65083599
Mean3.8187559 × 1024
Median Absolute Deviation (MAD)4.6299094 × 1023
Skewness-1.2490095
Sum2.9786296 × 1026
Variance1.2944522 × 1048
MonotonicityNot monotonic
2023-12-10T22:32:04.352221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.11101090010488e+24 2
 
2.0%
1.13501050011266e+24 2
 
2.0%
5.01101380011026e+24 2
 
2.0%
4.15003502510474e+24 2
 
2.0%
2.91401280020108e+24 2
 
2.0%
4.27503402410268e+24 1
 
1.0%
1.16201010010647e+24 1
 
1.0%
4.47703103110266e+24 1
 
1.0%
5.01101160010227e+24 1
 
1.0%
4.2150340290000306e+24 1
 
1.0%
Other values (63) 63
63.0%
(Missing) 22
 
22.0%
ValueCountFrequency (%)
1.12601060010642e+24 1
1.0%
1.13501050011266e+24 2
2.0%
1.1500103001101e+24 1
1.0%
1.15451030010241e+24 1
1.0%
1.15451030010995e+24 1
1.0%
1.16201010010647e+24 1
1.0%
1.17401020010317e+24 1
1.0%
2.62001200010103e+24 1
1.0%
2.6530106001069e+24 1
1.0%
2.71401330010033e+24 1
1.0%
ValueCountFrequency (%)
5.01302502211329e+24 1
1.0%
5.01102563415685e+24 1
1.0%
5.01102562801558e+24 1
1.0%
5.011025334001449e+24 1
1.0%
5.01102532900072e+24 1
1.0%
5.011025025001089e+24 1
1.0%
5.01101380011026e+24 2
2.0%
5.011012000103769e+24 1
1.0%
5.011012000102689e+24 1
1.0%
5.01101160010227e+24 1
1.0%
Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:04.754556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.92
Min length10

Characters and Unicode

Total characters1192
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

Unique96 ?
Unique (%)96.0%

Sample

1st row02-490-2600
2nd row02-379-9232
3rd row02-379-9232
4th row02-939-0735
5th row02-2602-2443
ValueCountFrequency (%)
02-379-9232 2
 
2.0%
033-747-8080 2
 
2.0%
031-353-8214 1
 
1.0%
063-252-2539 1
 
1.0%
064-726-5225 1
 
1.0%
031-339-9993 1
 
1.0%
031-643-6776 1
 
1.0%
02-875-2770 1
 
1.0%
02-804-6141 1
 
1.0%
02-441-8886 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T22:32:05.366290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 198
16.6%
0 183
15.4%
3 156
13.1%
2 94
7.9%
4 92
7.7%
6 87
7.3%
1 87
7.3%
5 86
7.2%
7 77
 
6.5%
9 67
 
5.6%
Other values (2) 65
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 993
83.3%
Dash Punctuation 198
 
16.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 183
18.4%
3 156
15.7%
2 94
9.5%
4 92
9.3%
6 87
8.8%
1 87
8.8%
5 86
8.7%
7 77
7.8%
9 67
 
6.7%
8 64
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 198
16.6%
0 183
15.4%
3 156
13.1%
2 94
7.9%
4 92
7.7%
6 87
7.3%
1 87
7.3%
5 86
7.2%
7 77
 
6.5%
9 67
 
5.6%
Other values (2) 65
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 198
16.6%
0 183
15.4%
3 156
13.1%
2 94
7.9%
4 92
7.7%
6 87
7.3%
1 87
7.3%
5 86
7.2%
7 77
 
6.5%
9 67
 
5.6%
Other values (2) 65
 
5.5%
Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:05.738060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.89
Min length8

Characters and Unicode

Total characters1189
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

Unique96 ?
Unique (%)96.0%

Sample

1st row02-3422-3510
2nd row02-396-4469
3rd row02-396-4469
4th row02-939-6526
5th row02-2694-8293
ValueCountFrequency (%)
02-396-4469 2
 
2.0%
033-747-8083 2
 
2.0%
031-352-6720 1
 
1.0%
053-275-6623 1
 
1.0%
064-726-6377 1
 
1.0%
031-339-3003 1
 
1.0%
031-643-6777 1
 
1.0%
02-875-1379 1
 
1.0%
02-6404-6141 1
 
1.0%
02-441-3482 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T22:32:06.821696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 197
16.6%
0 167
14.0%
3 161
13.5%
6 105
8.8%
2 94
7.9%
4 91
7.7%
7 86
7.2%
1 82
6.9%
5 77
 
6.5%
8 67
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
83.4%
Dash Punctuation 197
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 167
16.8%
3 161
16.2%
6 105
10.6%
2 94
9.5%
4 91
9.2%
7 86
8.7%
1 82
8.3%
5 77
7.8%
8 67
6.8%
9 62
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 197
16.6%
0 167
14.0%
3 161
13.5%
6 105
8.8%
2 94
7.9%
4 91
7.7%
7 86
7.2%
1 82
6.9%
5 77
 
6.5%
8 67
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 197
16.6%
0 167
14.0%
3 161
13.5%
6 105
8.8%
2 94
7.9%
4 91
7.7%
7 86
7.2%
1 82
6.9%
5 77
 
6.5%
8 67
 
5.6%

복지시설설립일자
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19919954
Minimum19270801
Maximum20110101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:07.413634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19270801
5-th percentile19519936
Q119871214
median20020111
Q320040769
95-th percentile20050933
Maximum20110101
Range839300
Interquartile range (IQR)169555

Descriptive statistics

Standard deviation180719.17
Coefficient of variation (CV)0.0090722686
Kurtosis1.6434775
Mean19919954
Median Absolute Deviation (MAD)38955.5
Skewness-1.5795096
Sum1.9919954 × 109
Variance3.265942 × 1010
MonotonicityNot monotonic
2023-12-10T22:32:07.817921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19821016 2
 
2.0%
20040504 2
 
2.0%
20050318 2
 
2.0%
20010511 1
 
1.0%
20050126 1
 
1.0%
20040325 1
 
1.0%
19690604 1
 
1.0%
19981101 1
 
1.0%
19501118 1
 
1.0%
20041201 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
19270801 1
1.0%
19490601 1
1.0%
19501017 1
1.0%
19501118 1
1.0%
19511108 1
1.0%
19520401 1
1.0%
19520710 1
1.0%
19520713 1
1.0%
19540401 1
1.0%
19570413 1
1.0%
ValueCountFrequency (%)
20110101 1
1.0%
20101229 1
1.0%
20080630 1
1.0%
20080201 1
1.0%
20051014 1
1.0%
20050929 1
1.0%
20050912 1
1.0%
20050728 1
1.0%
20050513 1
1.0%
20050322 1
1.0%

소관시군구코드
Real number (ℝ)

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.833885 × 109
Minimum1.111 × 109
Maximum5.013 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:08.207475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.14925 × 109
Q13.111 × 109
median4.213 × 109
Q34.5145 × 109
95-th percentile5.011 × 109
Maximum5.013 × 109
Range3.902 × 109
Interquartile range (IQR)1.4035 × 109

Descriptive statistics

Standard deviation1.1441577 × 109
Coefficient of variation (CV)0.29843297
Kurtosis0.82624209
Mean3.833885 × 109
Median Absolute Deviation (MAD)3.07 × 108
Skewness-1.358608
Sum3.833885 × 1011
Variance1.3090968 × 1018
MonotonicityNot monotonic
2023-12-10T22:32:08.491296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5011000000 12
 
12.0%
4150000000 4
 
4.0%
4211000000 3
 
3.0%
3111000000 3
 
3.0%
4213000000 3
 
3.0%
1154500000 2
 
2.0%
2914000000 2
 
2.0%
4311000000 2
 
2.0%
4219000000 2
 
2.0%
1111000000 2
 
2.0%
Other values (57) 65
65.0%
ValueCountFrequency (%)
1111000000 2
2.0%
1126000000 1
1.0%
1135000000 2
2.0%
1150000000 1
1.0%
1154500000 2
2.0%
1156000000 1
1.0%
1162000000 1
1.0%
1174000000 1
1.0%
2620000000 1
1.0%
2653000000 1
1.0%
ValueCountFrequency (%)
5013000000 1
 
1.0%
5011000000 12
12.0%
4884000000 1
 
1.0%
4721000000 1
 
1.0%
4715000000 1
 
1.0%
4689000000 1
 
1.0%
4688000000 1
 
1.0%
4684000000 1
 
1.0%
4677000000 1
 
1.0%
4611000000 1
 
1.0%
Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
28 
비영리
12 
2
12 
사회복지
11 
서비스
Other values (19)
32 

Length

Max length18
Median length14
Mean length4.24
Min length1

Unique

Unique12 ?
Unique (%)12.0%

Sample

1st row비영리
2nd row비영리
3rd row<NA>
4th row사회복지 서비스업
5th row2

Common Values

ValueCountFrequency (%)
<NA> 28
28.0%
비영리 12
12.0%
2 12
12.0%
사회복지 11
 
11.0%
서비스 5
 
5.0%
비영리법인 4
 
4.0%
노인복지시설 4
 
4.0%
노인요양시설 3
 
3.0%
노인의료복지시설 3
 
3.0%
사회사업 2
 
2.0%
Other values (14) 16
16.0%

Length

2023-12-10T22:32:08.715179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 28
27.7%
2 13
12.9%
비영리 12
11.9%
사회복지 12
11.9%
서비스 5
 
5.0%
비영리법인 4
 
4.0%
노인복지시설 4
 
4.0%
노인요양시설 3
 
3.0%
노인의료복지시설 3
 
3.0%
노인요양 2
 
2.0%
Other values (12) 15
14.9%

시설종류코드
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10186.05
Minimum10101
Maximum10401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:08.887439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10101
5-th percentile10101
Q110201
median10201
Q310201
95-th percentile10202
Maximum10401
Range300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.957126
Coefficient of variation (CV)0.005100812
Kurtosis4.9913898
Mean10186.05
Median Absolute Deviation (MAD)0
Skewness0.6892906
Sum1018605
Variance2699.5429
MonotonicityNot monotonic
2023-12-10T22:32:09.173079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10201 74
74.0%
10101 18
 
18.0%
10202 3
 
3.0%
10401 2
 
2.0%
10102 2
 
2.0%
10301 1
 
1.0%
ValueCountFrequency (%)
10101 18
 
18.0%
10102 2
 
2.0%
10201 74
74.0%
10202 3
 
3.0%
10301 1
 
1.0%
10401 2
 
2.0%
ValueCountFrequency (%)
10401 2
 
2.0%
10301 1
 
1.0%
10202 3
 
3.0%
10201 74
74.0%
10102 2
 
2.0%
10101 18
 
18.0%

운영법인명
Text

MISSING 

Distinct81
Distinct (%)85.3%
Missing5
Missing (%)5.0%
Memory size932.0 B
2023-12-10T22:32:09.562844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length11.126316
Min length2

Characters and Unicode

Total characters1057
Distinct characters158
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

Unique71 ?
Unique (%)74.7%

Sample

1st row(재)예수의꽃동네유지재단
2nd row청운양로원
3rd row사회복지법인 청운양로원
4th row사회복지법인홍파복지원
5th row천사복지재단
ValueCountFrequency (%)
사회복지법인 45
30.6%
대한예수교장로회제주노회유지재단 4
 
2.7%
재)예수의꽃동네유지재단 4
 
2.7%
재단법인 3
 
2.0%
불교자비원 2
 
1.4%
사회복지법인동명회 2
 
1.4%
해암재단 2
 
1.4%
대한불교조계종 2
 
1.4%
이천한나원 2
 
1.4%
청운양로원 2
 
1.4%
Other values (74) 79
53.7%
2023-12-10T22:32:10.256333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
9.4%
89
 
8.4%
85
 
8.0%
65
 
6.1%
64
 
6.1%
59
 
5.6%
52
 
4.9%
47
 
4.4%
43
 
4.1%
31
 
2.9%
Other values (148) 423
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 996
94.2%
Space Separator 52
 
4.9%
Close Punctuation 5
 
0.5%
Open Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
99
 
9.9%
89
 
8.9%
85
 
8.5%
65
 
6.5%
64
 
6.4%
59
 
5.9%
47
 
4.7%
43
 
4.3%
31
 
3.1%
18
 
1.8%
Other values (145) 396
39.8%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 996
94.2%
Common 61
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
99
 
9.9%
89
 
8.9%
85
 
8.5%
65
 
6.5%
64
 
6.4%
59
 
5.9%
47
 
4.7%
43
 
4.3%
31
 
3.1%
18
 
1.8%
Other values (145) 396
39.8%
Common
ValueCountFrequency (%)
52
85.2%
) 5
 
8.2%
( 4
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 996
94.2%
ASCII 61
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
99
 
9.9%
89
 
8.9%
85
 
8.5%
65
 
6.5%
64
 
6.4%
59
 
5.9%
47
 
4.7%
43
 
4.3%
31
 
3.1%
18
 
1.8%
Other values (145) 396
39.8%
ASCII
ValueCountFrequency (%)
52
85.2%
) 5
 
8.2%
( 4
 
6.6%

운영법인업태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB
Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
26 
사회복지
14 
노인복지
13 
노인요양시설
노인요양
 
3
Other values (27)
37 

Length

Max length18
Median length4
Mean length4.8
Min length2

Unique

Unique20 ?
Unique (%)20.0%

Sample

1st row사회복지
2nd row양로원
3rd row<NA>
4th row노인 양로 복지시설 운영업
5th row사회복지

Common Values

ValueCountFrequency (%)
<NA> 26
26.0%
사회복지 14
14.0%
노인복지 13
13.0%
노인요양시설 7
 
7.0%
노인요양 3
 
3.0%
노인복지시설 3
 
3.0%
노인요양원 3
 
3.0%
노인 3
 
3.0%
노인전문요양시설 2
 
2.0%
사회복지시설 2
 
2.0%
Other values (22) 24
24.0%

Length

2023-12-10T22:32:10.541808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 26
25.2%
사회복지 14
13.6%
노인복지 13
12.6%
노인요양시설 7
 
6.8%
노인 4
 
3.9%
노인요양 3
 
2.9%
노인복지시설 3
 
2.9%
노인요양원 3
 
2.9%
양로 2
 
1.9%
복지시설 2
 
1.9%
Other values (22) 26
25.2%

총인구수
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38722.55
Minimum1048
Maximum239367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:10.755461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1048
5-th percentile2847.15
Q16688
median21667
Q346819.25
95-th percentile133446.7
Maximum239367
Range238319
Interquartile range (IQR)40131.25

Descriptive statistics

Standard deviation49249.049
Coefficient of variation (CV)1.2718442
Kurtosis6.0913622
Mean38722.55
Median Absolute Deviation (MAD)16260.5
Skewness2.395999
Sum3872255
Variance2.4254688 × 109
MonotonicityNot monotonic
2023-12-10T22:32:10.994116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83781 3
 
3.0%
4637 3
 
3.0%
21338 3
 
3.0%
21935 3
 
3.0%
37532 2
 
2.0%
202186 2
 
2.0%
35958 2
 
2.0%
18145 2
 
2.0%
15678 2
 
2.0%
33940 2
 
2.0%
Other values (74) 76
76.0%
ValueCountFrequency (%)
1048 1
1.0%
1213 1
1.0%
1834 1
1.0%
1992 1
1.0%
2451 1
1.0%
2868 1
1.0%
3198 1
1.0%
3199 1
1.0%
3263 1
1.0%
3601 1
1.0%
ValueCountFrequency (%)
239367 1
 
1.0%
232895 1
 
1.0%
202186 2
2.0%
173835 1
 
1.0%
131321 1
 
1.0%
110791 2
2.0%
104759 1
 
1.0%
92607 1
 
1.0%
87365 1
 
1.0%
83781 3
3.0%

10미만인구수
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9272.9
Minimum602
Maximum56750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:11.210640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum602
5-th percentile1266.7
Q12465.5
median5588
Q39213.25
95-th percentile32083.35
Maximum56750
Range56148
Interquartile range (IQR)6747.75

Descriptive statistics

Standard deviation11516.86
Coefficient of variation (CV)1.2419912
Kurtosis6.7330201
Mean9272.9
Median Absolute Deviation (MAD)3322.5
Skewness2.5638366
Sum927290
Variance1.3263807 × 108
MonotonicityNot monotonic
2023-12-10T22:32:11.401350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21279 3
 
3.0%
2221 3
 
3.0%
3990 3
 
3.0%
3336 3
 
3.0%
6001 2
 
2.0%
51870 2
 
2.0%
7848 2
 
2.0%
6469 2
 
2.0%
2500 2
 
2.0%
11069 2
 
2.0%
Other values (74) 76
76.0%
ValueCountFrequency (%)
602 1
1.0%
880 1
1.0%
1060 1
1.0%
1259 1
1.0%
1261 1
1.0%
1267 1
1.0%
1332 1
1.0%
1475 1
1.0%
1598 1
1.0%
1675 1
1.0%
ValueCountFrequency (%)
56750 1
 
1.0%
51870 2
2.0%
50658 1
 
1.0%
36897 1
 
1.0%
31830 2
2.0%
29885 1
 
1.0%
21897 1
 
1.0%
21328 1
 
1.0%
21279 3
3.0%
16213 1
 
1.0%

세대수
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15592.72
Minimum596
Maximum116094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:11.599029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum596
5-th percentile1215.6
Q12948
median7946
Q317550.75
95-th percentile50964.35
Maximum116094
Range115498
Interquartile range (IQR)14602.75

Descriptive statistics

Standard deviation20709.239
Coefficient of variation (CV)1.3281351
Kurtosis8.9147007
Mean15592.72
Median Absolute Deviation (MAD)5902
Skewness2.7853217
Sum1559272
Variance4.2887256 × 108
MonotonicityNot monotonic
2023-12-10T22:32:11.815106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33025 3
 
3.0%
2109 3
 
3.0%
7943 3
 
3.0%
7946 3
 
3.0%
14653 2
 
2.0%
79802 2
 
2.0%
14622 2
 
2.0%
7362 2
 
2.0%
5549 2
 
2.0%
14691 2
 
2.0%
Other values (74) 76
76.0%
ValueCountFrequency (%)
596 1
1.0%
597 1
1.0%
775 1
1.0%
850 1
1.0%
1132 1
1.0%
1220 1
1.0%
1463 1
1.0%
1533 1
1.0%
1579 1
1.0%
1582 1
1.0%
ValueCountFrequency (%)
116094 1
 
1.0%
102512 1
 
1.0%
79802 2
2.0%
67558 1
 
1.0%
50091 1
 
1.0%
45876 2
2.0%
41021 1
 
1.0%
36944 1
 
1.0%
33025 3
3.0%
31072 1
 
1.0%
Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:12.214019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length50
Mean length50
Min length50

Characters and Unicode

Total characters5000
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)84.0%

Sample

1st row01010000203B140000CC9F379E006D2D41C1D01B523CDA3D41
2nd row01010000203B140000BED29EBAA8F630418F373BFD94D93A41
3rd row01010000203B14000063AE4433C6102D4175B22F2339DE3D41
4th row01010000203B1400007BA16470AD5B2D411CB5E374A9EF3D41
5th row01010000203B1400003E6801C4F4B82C41687E6F23DAC03D41
ValueCountFrequency (%)
01010000203b1400008bb8d818f6882b41034f10eb59dd3641 3
 
3.0%
01010000203b140000f8cdca2c6bb22c419f9e4e265eb83d41 3
 
3.0%
01010000203b1400006417a2cd93c32c41a3c06d0e20a33941 2
 
2.0%
01010000203b1400007ba16470ad5b2d411cb5e374a9ef3d41 2
 
2.0%
01010000203b1400008208ed42d42e2f4168f8c3c393413e41 2
 
2.0%
01010000203b140000a6319400dae82f41c8d565e1c06b3d41 2
 
2.0%
01010000203b14000058a2dccd7cc6314149e5dc69ef703a41 2
 
2.0%
01010000203b1400006ed83a11c1c12c41e9ff66a076f93d41 1
 
1.0%
01010000203b1400005ca0f300d00a2d41371ea6771fa73d41 1
 
1.0%
01010000203b1400008ef33e8983e42c41914a2d204a983d41 1
 
1.0%
Other values (81) 81
81.0%
2023-12-10T22:32:12.763601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1275
25.5%
1 678
13.6%
4 445
 
8.9%
3 381
 
7.6%
2 290
 
5.8%
B 253
 
5.1%
C 211
 
4.2%
D 209
 
4.2%
8 189
 
3.8%
6 172
 
3.4%
Other values (6) 897
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3858
77.2%
Uppercase Letter 1142
 
22.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1275
33.0%
1 678
17.6%
4 445
 
11.5%
3 381
 
9.9%
2 290
 
7.5%
8 189
 
4.9%
6 172
 
4.5%
9 154
 
4.0%
7 149
 
3.9%
5 125
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 253
22.2%
C 211
18.5%
D 209
18.3%
E 172
15.1%
A 159
13.9%
F 138
12.1%

Most occurring scripts

ValueCountFrequency (%)
Common 3858
77.2%
Latin 1142
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1275
33.0%
1 678
17.6%
4 445
 
11.5%
3 381
 
9.9%
2 290
 
7.5%
8 189
 
4.9%
6 172
 
4.5%
9 154
 
4.0%
7 149
 
3.9%
5 125
 
3.2%
Latin
ValueCountFrequency (%)
B 253
22.2%
C 211
18.5%
D 209
18.3%
E 172
15.1%
A 159
13.9%
F 138
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1275
25.5%
1 678
13.6%
4 445
 
8.9%
3 381
 
7.6%
2 290
 
5.8%
B 253
 
5.1%
C 211
 
4.2%
D 209
 
4.2%
8 189
 
3.8%
6 172
 
3.4%
Other values (6) 897
17.9%

Sample

복지시설코드복지시설명복지시설영문명복지시설업태명복지시설대표명복지시설홈페이지주소복지시설이메일주소복지시설우편번호복지시설주소복지시설빌딩관리번호복지시설전화번호복지시설팩스번호복지시설설립일자소관시군구코드복지시설업종명시설종류코드운영법인명운영법인업태명운영법인업종명총인구수10미만인구수세대수공간정보
0A0001서울꽃동네신내노인요양원<NA><NA>최은숙<NA>c2lua2Zsb3dlckBoYW5tYWlsLm5ldA==2052서울특별시 중랑구 신내로112601060010642000000187402-490-260002-3422-3510200105111126000000비영리10201(재)예수의꽃동네유지재단<NA>사회복지60398162132218001010000203B140000CC9F379E006D2D41C1D01B523CDA3D41
1A0002청운양로원<NA><NA>이종명www.chungwoon.or.krY3dzaG9tZUBoYW5tYWlsLm5ldA==3001서울특별시 종로구 구기동<NA>02-379-923202-396-4469192708011111000000비영리10101청운양로원<NA>양로원173475692773601010000203B140000BED29EBAA8F630418F373BFD94D93A41
2A0003청운노인요양원<NA><NA>이종후http://www.chungwoon.or.krY3dzaG9tZUBoYW5tYWlsLm5ldA==3001서울특별시 종로구 비봉길<NA>02-379-923202-396-4469199611011111000000<NA>10201사회복지법인 청운양로원<NA><NA>178775231639801010000203B14000063AE4433C6102D4175B22F2339DE3D41
3A0004홍파양로원<NA><NA>김우리silver.hongpa.or.kraG9uZ3BhNzNAaGFubWFpbC5uZXQ=1623서울특별시 노원구 동일로248길113501050011266000000880002-939-073502-939-6526198108211135000000사회복지 서비스업10101사회복지법인홍파복지원<NA>노인 양로 복지시설 운영업202186518707980201010000203B1400007BA16470AD5B2D411CB5E374A9EF3D41
4A0007천사노인요양원<NA>비영리김샛별<NA>Y2hjaDgzODNAbmF2ZXIuY29t7704서울특별시 강서구 강서로45다길115001030011010000002186602-2602-244302-2694-8293198607011150000000210201천사복지재단<NA>사회복지2393675675010251201010000203B1400003E6801C4F4B82C41687E6F23DAC03D41
5A0009녹동어울림<NA>비영리임보혜<NA>MA==59556전라남도 고흥군 도양읍 신정중앙길4677025324124080000000001061-842-1002061-842-7002201012294677000000<NA>10202녹동어울림<NA>사회복지83781212793302501010000203B140000F8CDCA2C6BB22C419F9E4E265EB83D41
6A0011용인노인요양원Lotusvill비영리이연우www.yongin-lotusvill.or.krMDMxMzM0MzY3N0BoYW5tYWlsLm5ldA==17181경기도 용인시 처인구 백암면 근삼로4146135029107700002217211031-334-3677031-333-9838199311274146000000비영리10201연꽃마을<NA>노인복지90332764413801010000203B14000097825E0570B62F41E3FEC0B2036B3D41
7A0012참사랑전문요양원<NA><NA>조혜영www.ph.or.krMA==17305경기도 이천시 신둔면 황무로338번길4150031030101710000014531031-638-0650031-638-0651200308284150000000<NA>10201사회복지법인 평안의집<NA><NA>70277152762654001010000203B14000079BC635B1EB92C41C7C60F5852EB3D41
8A0013성안나의집<NA><NA>전계주<NA>b2xkYW5uYUBuYXZlci5jb20=23050인천광역시 강화군 길상면 전등사로<NA>032-937-1935032-937-0696198110172871000000210201사회복지법인 성가수녀회<NA>사회복지83781212793302501010000203B140000F8CDCA2C6BB22C419F9E4E265EB83D41
9A0015인천신생요양원<NA><NA>정진모www.shinseng.or.krc3Nzd2VsZkBoYW5tYWlsLm5ldA==22687인천광역시 서구 드림로2826010100100860011028766032-566-0580032-566-0595200201212826000000<NA>10201사회복지법인기독교대한감리회<NA><NA>4659470701795501010000203B1400005948358268482C41C1A8287D18D13D41
복지시설코드복지시설명복지시설영문명복지시설업태명복지시설대표명복지시설홈페이지주소복지시설이메일주소복지시설우편번호복지시설주소복지시설빌딩관리번호복지시설전화번호복지시설팩스번호복지시설설립일자소관시군구코드복지시설업종명시설종류코드운영법인명운영법인업태명운영법인업종명총인구수10미만인구수세대수공간정보
90A0136기쁨의집<NA><NA>여정미<NA>eWlqaTEwMDNAbmF2ZXIuY29t10953경기도 파주시 광탄면 보광로610번길4148035029101790001034374031-946-1117031-946-1128200505134148000000<NA>10201<NA><NA><NA>136205335607901010000203B140000FFE329BAFD2F2E41B95E892E7AFB3D41
91A0139예가노인전문요양원YAEGAWON<NA>유명신www.yaegawon.comeWFlZ2F3b24xQGRhdW0ubmV026217강원도 영월군 남면 신선길4275034024102680002019239033-375-9988033-375-9985200201224275000000비영리법인10201사회복지법인 예가원<NA>노인요양시설121388059701010000203B140000E9258CB6C54B304180AA5D4965333A41
92A0140새별이요양원<NA><NA>김선길www.silverhouse.pe.krbmV3c3RhcjU2Mjg5OTVAbmF2ZXIuY29t26111강원도 정선군 임계면 새벼리길<NA>033-562-8995070-8668-0761200501214277000000210202새별이복지재단<NA>노인요양공동생활가정45632113208901010000203B140000613CDEDA5CC130418248F1E244BA3E41
93A0142옥천꽃동네성모노인요양원<NA><NA>유진선<NA>ZGhyY2pzMjAxNkBoYW5tYWlsLm5ldA==29042충청북도 옥천군 옥천읍 매화길4373025028101000006000002043-733-7505043-731-6880199902234373000000비영리10201(재)예수의꽃동네유지재단<NA>복지사업83781212793302501010000203B140000F8CDCA2C6BB22C419F9E4E265EB83D41
94A0143꽃동네노인요양원<NA><NA>민순녀www.kkotnoin.or.kra2tvdGd1d29uQGhhbm1haWwubmV027732충청북도 음성군 맹동면 꽃동네길4377033022100930001170186043-879-0434043-877-7774198712184377000000노인복지시설10201(재)예수의꽃동네유지재단<NA>장기요양기관1834106085001010000203B140000E07EA77C4A6C31411D682E86F6793D41
95A0145보은의집<NA><NA>전인배www.boeunsilver.comb3NrNjEyQGhhbm1haWwubmV028900충청북도 보은군 내북면 남부로<NA>043-544-1123043-544-1125200411014372000000노인복지사업10201사회복지법인보은복지재단<NA>노인요양시설1992125977501010000203B140000A576331154FB2E41AE7A23B8CE1F3C41
96A0148성가정요양원<NA><NA>이미숙<NA>YWFhYW9iQG5hdmVyLmNvbQ==26374강원도 원주시 문막읍 귀문로<NA>033-732-7689033-732-7681200308014213000000210202<NA><NA>사회복지56092552305401010000203B1400007D19B51489A83141132930626B2E3D41
97A0149양지노인마을Yangji Siver County<NA>승근배www.yang-ji.neteWFuZ2ppLWVsZGVyQGhhbm1haWwubmV0200600강원도 춘천시 신북읍 은고개길4211025026103590000062792033-243-8795033-243-8798200503184211000000<NA>10201사회복지법인 계명복지재단<NA><NA>92607218973694401010000203B140000AF9E198081C72C41BAE5B86163EB3D41
98A0151만수노인복지원mansu seniorcitizens welfare institutions.사회복지법인정상진www.mansubokji.combWFuc29vMTQ0N0BoYW5tYWlsLm5ldA==33103충청남도 부여군 외산면 외산로<NA>041-836-1447041-836-1448199103284476000000<NA>10201사회복지법인 만수노인복지원<NA>노인요양시설2815363301110401010000203B140000E9C06A0E82263141114891DFB91C3E41
99A0152금매복지원<NA><NA>정용<NA>cnlvNjcxMkBoYW5tYWlsLm5ldA==325813충청남도 서천군 마서면 송내리4477031031102660023031554041-956-0893041-956-5827198202154477000000사회복지10201사회복지법인 금매복지원<NA>노인복지24511332122001010000203B14000020144ACA43723041BEA6418458983D41