Overview

Dataset statistics

Number of variables20
Number of observations100
Missing cells231
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory166.3 B

Variable types

Text11
Categorical3
Numeric5
Unsupported1

Dataset

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

Alerts

시설우편번호 is highly overall correlated with 건물관리번호 and 1 other fieldsHigh correlation
건물관리번호 is highly overall correlated with 시설우편번호 and 1 other fieldsHigh correlation
설립일자 is highly overall correlated with 시설종류코드High correlation
소관시군구코드 is highly overall correlated with 시설우편번호 and 1 other fieldsHigh correlation
시설종류코드 is highly overall correlated with 설립일자High correlation
시설업태명 is highly imbalanced (55.9%)Imbalance
시설영문명 has 78 (78.0%) missing valuesMissing
홈페이지주소 has 27 (27.0%) missing valuesMissing
건물관리번호 has 21 (21.0%) missing valuesMissing
법인명 has 5 (5.0%) missing valuesMissing
법인업태명 has 100 (100.0%) missing valuesMissing
시설코드 has unique valuesUnique
법인업태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 13:32:15.315273
Analysis finished2023-12-10 13:32:28.642700
Duration13.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설코드
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:28.979143image/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%
a0083 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%
a0090 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:32:29.573738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 194
38.8%
A 100
20.0%
1 53
 
10.6%
3 28
 
5.6%
4 22
 
4.4%
2 22
 
4.4%
9 19
 
3.8%
5 17
 
3.4%
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 (%)
0 194
48.5%
1 53
 
13.2%
3 28
 
7.0%
4 22
 
5.5%
2 22
 
5.5%
9 19
 
4.8%
5 17
 
4.2%
7 16
 
4.0%
6 15
 
3.8%
8 14
 
3.5%
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 (%)
0 194
48.5%
1 53
 
13.2%
3 28
 
7.0%
4 22
 
5.5%
2 22
 
5.5%
9 19
 
4.8%
5 17
 
4.2%
7 16
 
4.0%
6 15
 
3.8%
8 14
 
3.5%
Latin
ValueCountFrequency (%)
A 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 194
38.8%
A 100
20.0%
1 53
 
10.6%
3 28
 
5.6%
4 22
 
4.4%
2 22
 
4.4%
9 19
 
3.8%
5 17
 
3.4%
7 16
 
3.2%
6 15
 
3.0%

시설명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:29.902264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.91
Min length3

Characters and Unicode

Total characters691
Distinct characters153
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 (%)
집 3
 
2.7%
영락양로원 2
 
1.8%
보은의집 2
 
1.8%
갓바위치매센터 1
 
0.9%
노인요양센터 1
 
0.9%
시립고덕양로원 1
 
0.9%
상애노인전문요양원 1
 
0.9%
상애원 1
 
0.9%
고향의 1
 
0.9%
남제주요양원 1
 
0.9%
Other values (97) 97
87.4%
2023-12-10T22:32:30.376044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 67
 
9.7%
양 61
 
8.8%
요 48
 
6.9%
인 39
 
5.6%
노 33
 
4.8%
집 16
 
2.3%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.7%
11
 
1.6%
Other values (143) 376
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
98.1%
Space Separator 11
 
1.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 67
 
9.9%
양 61
 
9.0%
요 48
 
7.1%
인 39
 
5.8%
노 33
 
4.9%
집 16
 
2.4%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.8%
동 11
 
1.6%
Other values (140) 363
53.5%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
98.1%
Common 13
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 67
 
9.9%
양 61
 
9.0%
요 48
 
7.1%
인 39
 
5.8%
노 33
 
4.9%
집 16
 
2.4%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.8%
동 11
 
1.6%
Other values (140) 363
53.5%
Common
ValueCountFrequency (%)
11
84.6%
( 1
 
7.7%
) 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
98.1%
ASCII 13
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 67
 
9.9%
양 61
 
9.0%
요 48
 
7.1%
인 39
 
5.8%
노 33
 
4.9%
집 16
 
2.4%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.8%
동 11
 
1.6%
Other values (140) 363
53.5%
ASCII
ValueCountFrequency (%)
11
84.6%
( 1
 
7.7%
) 1
 
7.7%

시설영문명
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing78
Missing (%)78.0%
Memory size932.0 B
2023-12-10T22:32:30.643645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length20
Mean length16.545455
Min length6

Characters and Unicode

Total characters364
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowLotusvill
2nd rowHwaSeongSi Dong tan senior welfare center
3rd rowhmtown
4th rowkamcheonjang
5th rowsungsimwon
ValueCountFrequency (%)
senior 4
 
8.2%
home 3
 
6.1%
house 3
 
6.1%
bethel 2
 
4.1%
lotusvill 1
 
2.0%
youngrak 1
 
2.0%
yeongjunoinjeonmunnyoyangwon 1
 
2.0%
the 1
 
2.0%
of 1
 
2.0%
peace 1
 
2.0%
Other values (31) 31
63.3%
2023-12-10T22:32:31.111525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 43
 
11.8%
o 28
 
7.7%
27
 
7.4%
e 26
 
7.1%
a 24
 
6.6%
g 18
 
4.9%
h 13
 
3.6%
u 13
 
3.6%
i 12
 
3.3%
r 11
 
3.0%
Other values (36) 149
40.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 257
70.6%
Uppercase Letter 77
 
21.2%
Space Separator 27
 
7.4%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 43
16.7%
o 28
10.9%
e 26
10.1%
a 24
9.3%
g 18
 
7.0%
h 13
 
5.1%
u 13
 
5.1%
i 12
 
4.7%
r 11
 
4.3%
w 11
 
4.3%
Other values (12) 58
22.6%
Uppercase Letter
ValueCountFrequency (%)
E 11
14.3%
S 11
14.3%
O 9
11.7%
H 6
 
7.8%
N 5
 
6.5%
R 4
 
5.2%
U 4
 
5.2%
I 3
 
3.9%
Y 3
 
3.9%
A 3
 
3.9%
Other values (10) 18
23.4%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 334
91.8%
Common 30
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 43
 
12.9%
o 28
 
8.4%
e 26
 
7.8%
a 24
 
7.2%
g 18
 
5.4%
h 13
 
3.9%
u 13
 
3.9%
i 12
 
3.6%
r 11
 
3.3%
E 11
 
3.3%
Other values (32) 135
40.4%
Common
ValueCountFrequency (%)
27
90.0%
) 1
 
3.3%
( 1
 
3.3%
- 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 43
 
11.8%
o 28
 
7.7%
27
 
7.4%
e 26
 
7.1%
a 24
 
6.6%
g 18
 
4.9%
h 13
 
3.6%
u 13
 
3.6%
i 12
 
3.3%
r 11
 
3.0%
Other values (36) 149
40.9%

시설업태명
Categorical

IMBALANCE 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
73 
비영리
12 
서비스
 
3
보건업
 
3
사회복지
 
2
Other values (7)
 
7

Length

Max length6
Median length4
Mean length3.8
Min length2

Unique

Unique7 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
73.0%
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 (2) 2
 
2.0%

Length

2023-12-10T22:32:31.363734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 73
73.0%
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 (2) 2
 
2.0%

대표자명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:31.855868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.99
Min length2

Characters and Unicode

Total characters299
Distinct characters103
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%
정창목 1
 
1.0%
최재우 1
 
1.0%
김병한 1
 
1.0%
이희법 1
 
1.0%
박기아 1
 
1.0%
김희찬 1
 
1.0%
이수하 1
 
1.0%
임헌건 1
 
1.0%
김영진 1
 
1.0%
Other values (89) 89
89.0%
2023-12-10T22:32:32.422311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 25
 
8.4%
이 19
 
6.4%
영 10
 
3.3%
희 10
 
3.3%
경 8
 
2.7%
숙 7
 
2.3%
정 7
 
2.3%
수 7
 
2.3%
한 7
 
2.3%
근 6
 
2.0%
Other values (93) 193
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
8.4%
이 19
 
6.4%
영 10
 
3.3%
희 10
 
3.3%
경 8
 
2.7%
숙 7
 
2.3%
정 7
 
2.3%
수 7
 
2.3%
한 7
 
2.3%
근 6
 
2.0%
Other values (93) 193
64.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
8.4%
이 19
 
6.4%
영 10
 
3.3%
희 10
 
3.3%
경 8
 
2.7%
숙 7
 
2.3%
정 7
 
2.3%
수 7
 
2.3%
한 7
 
2.3%
근 6
 
2.0%
Other values (93) 193
64.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 25
 
8.4%
이 19
 
6.4%
영 10
 
3.3%
희 10
 
3.3%
경 8
 
2.7%
숙 7
 
2.3%
정 7
 
2.3%
수 7
 
2.3%
한 7
 
2.3%
근 6
 
2.0%
Other values (93) 193
64.5%

홈페이지주소
Text

MISSING 

Distinct71
Distinct (%)97.3%
Missing27
Missing (%)27.0%
Memory size932.0 B
2023-12-10T22:32:32.712555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length19.452055
Min length12

Characters and Unicode

Total characters1420
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.kkotnoin.or.kr 1
 
1.4%
www.ijsilverhome.or.kr 1
 
1.4%
sangaewon.com 1
 
1.4%
www.cyworld.com/homevillage 1
 
1.4%
www.namjejuhome.or.kr 1
 
1.4%
www.hwabang.org 1
 
1.4%
www.boeunsilver.com 1
 
1.4%
http://www.tegowon.kr 1
 
1.4%
Other values (61) 61
83.6%
2023-12-10T22:32:33.112079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 203
14.3%
. 181
12.7%
o 125
 
8.8%
r 115
 
8.1%
n 86
 
6.1%
e 65
 
4.6%
k 59
 
4.2%
a 53
 
3.7%
h 49
 
3.5%
c 46
 
3.2%
Other values (30) 438
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1163
81.9%
Other Punctuation 239
 
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 203
17.5%
o 125
 
10.7%
r 115
 
9.9%
n 86
 
7.4%
e 65
 
5.6%
k 59
 
5.1%
a 53
 
4.6%
h 49
 
4.2%
c 46
 
4.0%
t 45
 
3.9%
Other values (13) 317
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 (%)
남 1
16.7%
원 1
16.7%
소 1
16.7%
망 1
16.7%
의 1
16.7%
문 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 181
75.7%
/ 42
 
17.6%
: 16
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1163
81.9%
Common 251
 
17.7%
Hangul 6
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 203
17.5%
o 125
 
10.7%
r 115
 
9.9%
n 86
 
7.4%
e 65
 
5.6%
k 59
 
5.1%
a 53
 
4.6%
h 49
 
4.2%
c 46
 
4.0%
t 45
 
3.9%
Other values (13) 317
27.3%
Common
ValueCountFrequency (%)
. 181
72.1%
/ 42
 
16.7%
: 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 (%)
남 1
16.7%
원 1
16.7%
소 1
16.7%
망 1
16.7%
의 1
16.7%
문 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1414
99.6%
Hangul 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 203
14.4%
. 181
12.8%
o 125
 
8.8%
r 115
 
8.1%
n 86
 
6.1%
e 65
 
4.6%
k 59
 
4.2%
a 53
 
3.7%
h 49
 
3.5%
c 46
 
3.3%
Other values (24) 432
30.6%
Hangul
ValueCountFrequency (%)
남 1
16.7%
원 1
16.7%
소 1
16.7%
망 1
16.7%
의 1
16.7%
문 1
16.7%

시설이메일주소
Text

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:33.414578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length25.36
Min length4

Characters and Unicode

Total characters2536
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

Unique84 ?
Unique (%)84.0%

Sample

1st rowc2lua2Zsb3dlckBoYW5tYWlsLm5ldA==
2nd rowY3dzaG9tZUBoYW5tYWlsLm5ldA==
3rd rowY3dzaG9tZUBoYW5tYWlsLm5ldA==
4th rowaG9uZ3BhNzNAaGFubWFpbC5uZXQ=
5th rowY2hjaDgzODNAbmF2ZXIuY29t
ValueCountFrequency (%)
ma 12
 
12.0%
y3dzag9tzuboyw5tywlslm5lda 2
 
2.0%
c2fuz2fld29uqghhbm1hawwubmv0 2
 
2.0%
ywfhyw9iqg5hdmvylmnvbq 1
 
1.0%
z2fty2h1bjfaagfubwfpbc5uzxq 1
 
1.0%
ymhpbnrlbgtpbuboyw5tywlslm5lda 1
 
1.0%
njl5yw5ncm9aagfubwfpbc5uzxq 1
 
1.0%
z28ymjmyqghhbm1hawwubmv0 1
 
1.0%
zg9uz3nhbkbod2fiyw5nlm9yzw 1
 
1.0%
a29zb283mtraagfubwfpbc5uzxq 1
 
1.0%
Other values (77) 77
77.0%
2023-12-10T22:32:33.878391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
b 151
 
6.0%
W 125
 
4.9%
= 116
 
4.6%
m 109
 
4.3%
5 106
 
4.2%
u 103
 
4.1%
Y 90
 
3.5%
h 85
 
3.4%
Z 84
 
3.3%
F 81
 
3.2%
Other values (49) 1486
58.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1064
42.0%
Uppercase Letter 1022
40.3%
Decimal Number 334
 
13.2%
Math Symbol 116
 
4.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
b 151
14.2%
m 109
 
10.2%
u 103
 
9.7%
h 85
 
8.0%
l 76
 
7.1%
a 72
 
6.8%
d 67
 
6.3%
t 46
 
4.3%
c 42
 
3.9%
p 40
 
3.8%
Other values (16) 273
25.7%
Uppercase Letter
ValueCountFrequency (%)
W 125
12.2%
Y 90
 
8.8%
Z 84
 
8.2%
F 81
 
7.9%
G 77
 
7.5%
A 76
 
7.4%
Q 61
 
6.0%
M 56
 
5.5%
V 48
 
4.7%
N 48
 
4.7%
Other values (14) 276
27.0%
Decimal Number
ValueCountFrequency (%)
5 106
31.7%
2 78
23.4%
0 42
 
12.6%
1 35
 
10.5%
9 34
 
10.2%
3 31
 
9.3%
4 5
 
1.5%
8 3
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2086
82.3%
Common 450
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
b 151
 
7.2%
W 125
 
6.0%
m 109
 
5.2%
u 103
 
4.9%
Y 90
 
4.3%
h 85
 
4.1%
Z 84
 
4.0%
F 81
 
3.9%
G 77
 
3.7%
A 76
 
3.6%
Other values (40) 1105
53.0%
Common
ValueCountFrequency (%)
= 116
25.8%
5 106
23.6%
2 78
17.3%
0 42
 
9.3%
1 35
 
7.8%
9 34
 
7.6%
3 31
 
6.9%
4 5
 
1.1%
8 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2536
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
b 151
 
6.0%
W 125
 
4.9%
= 116
 
4.6%
m 109
 
4.3%
5 106
 
4.2%
u 103
 
4.1%
Y 90
 
3.5%
h 85
 
3.4%
Z 84
 
3.3%
F 81
 
3.2%
Other values (49) 1486
58.6%

시설우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35265.9
Minimum1623
Maximum200600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:34.070125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1623
5-th percentile5123.3
Q117333.5
median26455
Q355738
95-th percentile63305.4
Maximum200600
Range198977
Interquartile range (IQR)38404.5

Descriptive statistics

Standard deviation25950.427
Coefficient of variation (CV)0.73585041
Kurtosis15.190221
Mean35265.9
Median Absolute Deviation (MAD)15466
Skewness2.6571105
Sum3526590
Variance6.7342467 × 108
MonotonicityNot monotonic
2023-12-10T22:32:34.322177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63076 3
 
3.0%
44417 3
 
3.0%
63144 2
 
2.0%
26455 2
 
2.0%
24417 2
 
2.0%
17343 2
 
2.0%
62075 2
 
2.0%
1623 2
 
2.0%
3001 2
 
2.0%
25612 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%
10045 1
1.0%
10290 1
1.0%
ValueCountFrequency (%)
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%
63044 1
 
1.0%

시설주소
Text

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:34.742170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length15.8
Min length11

Characters and Unicode

Total characters1580
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

Unique83 ?
Unique (%)83.0%

Sample

1st row서울특별시 중랑구 신내로
2nd row서울특별시 종로구 구기동
3rd row서울특별시 종로구 비봉길
4th row서울특별시 노원구 동일로248길
5th row서울특별시 강서구 강서로45다길
ValueCountFrequency (%)
경기도 20
 
5.7%
강원도 18
 
5.1%
제주특별자치도 13
 
3.7%
제주시 12
 
3.4%
서울특별시 10
 
2.8%
충청북도 6
 
1.7%
전라북도 6
 
1.7%
전라남도 6
 
1.7%
서구 5
 
1.4%
이천시 4
 
1.1%
Other values (205) 252
71.6%
2023-12-10T22:32:35.411360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
 
15.9%
시 83
 
5.3%
도 78
 
4.9%
로 68
 
4.3%
길 59
 
3.7%
구 39
 
2.5%
주 38
 
2.4%
면 31
 
2.0%
강 29
 
1.8%
원 28
 
1.8%
Other values (178) 875
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1260
79.7%
Space Separator 252
 
15.9%
Decimal Number 68
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 83
 
6.6%
도 78
 
6.2%
로 68
 
5.4%
길 59
 
4.7%
구 39
 
3.1%
주 38
 
3.0%
면 31
 
2.5%
강 29
 
2.3%
원 28
 
2.2%
제 27
 
2.1%
Other values (167) 780
61.9%
Decimal Number
ValueCountFrequency (%)
1 13
19.1%
2 9
13.2%
4 8
11.8%
8 7
10.3%
3 7
10.3%
9 6
8.8%
6 5
 
7.4%
5 5
 
7.4%
0 5
 
7.4%
7 3
 
4.4%
Space Separator
ValueCountFrequency (%)
252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1260
79.7%
Common 320
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 83
 
6.6%
도 78
 
6.2%
로 68
 
5.4%
길 59
 
4.7%
구 39
 
3.1%
주 38
 
3.0%
면 31
 
2.5%
강 29
 
2.3%
원 28
 
2.2%
제 27
 
2.1%
Other values (167) 780
61.9%
Common
ValueCountFrequency (%)
252
78.8%
1 13
 
4.1%
2 9
 
2.8%
4 8
 
2.5%
8 7
 
2.2%
3 7
 
2.2%
9 6
 
1.9%
6 5
 
1.6%
5 5
 
1.6%
0 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1260
79.7%
ASCII 320
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
78.8%
1 13
 
4.1%
2 9
 
2.8%
4 8
 
2.5%
8 7
 
2.2%
3 7
 
2.2%
9 6
 
1.9%
6 5
 
1.6%
5 5
 
1.6%
0 5
 
1.6%
Hangul
ValueCountFrequency (%)
시 83
 
6.6%
도 78
 
6.2%
로 68
 
5.4%
길 59
 
4.7%
구 39
 
3.1%
주 38
 
3.0%
면 31
 
2.5%
강 29
 
2.3%
원 28
 
2.2%
제 27
 
2.1%
Other values (167) 780
61.9%

건물관리번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct74
Distinct (%)93.7%
Missing21
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean3.8247339 × 1024
Minimum1.1260106 × 1024
Maximum5.013025 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:35.661821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1260106 × 1024
5-th percentile1.1540603 × 1024
Q13.1110109 × 1024
median4.1800253 × 1024
Q34.520027 × 1024
95-th percentile5.0110253 × 1024
Maximum5.013025 × 1024
Range3.8870144 × 1024
Interquartile range (IQR)1.4090161 × 1024

Descriptive statistics

Standard deviation1.1321569 × 1024
Coefficient of variation (CV)0.29600932
Kurtosis0.70405668
Mean3.8247339 × 1024
Median Absolute Deviation (MAD)4.3099058 × 1023
Skewness-1.2648905
Sum3.0215398 × 1026
Variance1.2817792 × 1048
MonotonicityNot monotonic
2023-12-10T22:32:35.908468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.15003502510474e+24 2
 
2.0%
1.13501050011266e+24 2
 
2.0%
5.01101380011026e+24 2
 
2.0%
3.11101090010488e+24 2
 
2.0%
2.91401280020108e+24 2
 
2.0%
4.1480350291017906e+24 1
 
1.0%
1.16201010010647e+24 1
 
1.0%
4.2110250261035905e+24 1
 
1.0%
5.01101160010227e+24 1
 
1.0%
4.2150340290000306e+24 1
 
1.0%
Other values (64) 64
64.0%
(Missing) 21
 
21.0%
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%

시설전화번호
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:36.307775image/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%
032-831-6075 1
 
1.0%
064-726-5225 1
 
1.0%
033-461-9395 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%
041-745-4900 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T22:32:36.888739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 198
16.6%
0 182
15.3%
3 154
12.9%
2 99
8.3%
4 91
7.6%
6 87
7.3%
5 87
7.3%
1 84
7.0%
7 77
 
6.5%
9 68
 
5.7%
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 (%)
0 182
18.3%
3 154
15.5%
2 99
10.0%
4 91
9.2%
6 87
8.8%
5 87
8.8%
1 84
8.5%
7 77
7.8%
9 68
 
6.8%
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%
0 182
15.3%
3 154
12.9%
2 99
8.3%
4 91
7.6%
6 87
7.3%
5 87
7.3%
1 84
7.0%
7 77
 
6.5%
9 68
 
5.7%
Other values (2) 65
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 198
16.6%
0 182
15.3%
3 154
12.9%
2 99
8.3%
4 91
7.6%
6 87
7.3%
5 87
7.3%
1 84
7.0%
7 77
 
6.5%
9 68
 
5.7%
Other values (2) 65
 
5.5%

팩스번호
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:37.258843image/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%
032-831-6079 1
 
1.0%
064-726-6377 1
 
1.0%
033-461-3217 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%
041-745-2590 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T22:32:37.792310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 197
16.6%
0 167
14.0%
3 162
13.6%
6 105
8.8%
2 94
7.9%
4 92
7.7%
7 86
7.2%
1 82
6.9%
5 76
 
6.4%
8 66
 
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%
3 162
16.3%
6 105
10.6%
2 94
9.5%
4 92
9.3%
7 86
8.7%
1 82
8.3%
5 76
7.7%
8 66
 
6.7%
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%
3 162
13.6%
6 105
8.8%
2 94
7.9%
4 92
7.7%
7 86
7.2%
1 82
6.9%
5 76
 
6.4%
8 66
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 197
16.6%
0 167
14.0%
3 162
13.6%
6 105
8.8%
2 94
7.9%
4 92
7.7%
7 86
7.2%
1 82
6.9%
5 76
 
6.4%
8 66
 
5.6%

설립일자
Real number (ℝ)

HIGH CORRELATION 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19924671
Minimum19270801
Maximum20130701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:38.341887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19270801
5-th percentile19519936
Q119878105
median20020126
Q320041002
95-th percentile20071193
Maximum20130701
Range859900
Interquartile range (IQR)162896.75

Descriptive statistics

Standard deviation182250.9
Coefficient of variation (CV)0.0091469965
Kurtosis1.6772649
Mean19924671
Median Absolute Deviation (MAD)38970
Skewness-1.595759
Sum1.9924671 × 109
Variance3.3215389 × 1010
MonotonicityNot monotonic
2023-12-10T22:32:38.551238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050318 2
 
2.0%
20040504 2
 
2.0%
19821016 2
 
2.0%
20041108 1
 
1.0%
19690604 1
 
1.0%
19981101 1
 
1.0%
19501118 1
 
1.0%
20041201 1
 
1.0%
19871201 1
 
1.0%
20021024 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 (%)
20130701 1
1.0%
20110101 1
1.0%
20101229 1
1.0%
20080630 1
1.0%
20080201 1
1.0%
20070719 1
1.0%
20051014 1
1.0%
20050929 1
1.0%
20050912 1
1.0%
20050728 1
1.0%

소관시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.832035 × 109
Minimum1.111 × 109
Maximum5.013 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:38.769744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.14925 × 109
Q13.111 × 109
median4.213 × 109
Q34.519 × 109
95-th percentile5.011 × 109
Maximum5.013 × 109
Range3.902 × 109
Interquartile range (IQR)1.408 × 109

Descriptive statistics

Standard deviation1.143637 × 109
Coefficient of variation (CV)0.29844116
Kurtosis0.82445133
Mean3.832035 × 109
Median Absolute Deviation (MAD)3.35 × 108
Skewness-1.3557035
Sum3.832035 × 1011
Variance1.3079055 × 1018
MonotonicityNot monotonic
2023-12-10T22:32:39.006732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5011000000 12
 
12.0%
4150000000 4
 
4.0%
4213000000 3
 
3.0%
4211000000 3
 
3.0%
3111000000 3
 
3.0%
1154500000 2
 
2.0%
2914000000 2
 
2.0%
4611000000 2
 
2.0%
4311000000 2
 
2.0%
1111000000 2
 
2.0%
Other values (56) 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 2
 
2.0%

업종분류코드
Categorical

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
37 
2
14 
비영리
11 
사회복지
10 
서비스
5 
Other values (14)
23 

Length

Max length9
Median length4
Mean length3.78
Min length1

Unique

Unique6 ?
Unique (%)6.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
37.0%
2 14
 
14.0%
비영리 11
 
11.0%
사회복지 10
 
10.0%
서비스 5
 
5.0%
비영리법인 3
 
3.0%
사회복지서비스업 2
 
2.0%
노인의료복지시설 2
 
2.0%
노인요양 2
 
2.0%
사회사업 2
 
2.0%
Other values (9) 12
 
12.0%

Length

2023-12-10T22:32:39.220277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 37
36.6%
2 14
 
13.9%
비영리 11
 
10.9%
사회복지 11
 
10.9%
서비스 5
 
5.0%
비영리법인 3
 
3.0%
노인복지시설 2
 
2.0%
노인요양시설 2
 
2.0%
보건업 2
 
2.0%
사회사업 2
 
2.0%
Other values (9) 12
 
11.9%

시설종류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10186.06
Minimum10101
Maximum10401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:32:39.372905image/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 deviation51.960128
Coefficient of variation (CV)0.0051011017
Kurtosis4.9889908
Mean10186.06
Median Absolute Deviation (MAD)0
Skewness0.6886346
Sum1018606
Variance2699.8549
MonotonicityNot monotonic
2023-12-10T22:32:39.527608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10201 73
73.0%
10101 18
 
18.0%
10202 4
 
4.0%
10401 2
 
2.0%
10102 2
 
2.0%
10301 1
 
1.0%
ValueCountFrequency (%)
10101 18
 
18.0%
10102 2
 
2.0%
10201 73
73.0%
10202 4
 
4.0%
10301 1
 
1.0%
10401 2
 
2.0%
ValueCountFrequency (%)
10401 2
 
2.0%
10301 1
 
1.0%
10202 4
 
4.0%
10201 73
73.0%
10102 2
 
2.0%
10101 18
 
18.0%

법인명
Text

MISSING 

Distinct80
Distinct (%)84.2%
Missing5
Missing (%)5.0%
Memory size932.0 B
2023-12-10T22:32:39.908203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length10.894737
Min length2

Characters and Unicode

Total characters1035
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

Unique69 ?
Unique (%)72.6%

Sample

1st row(재)예수의꽃동네유지재단
2nd row청운양로원
3rd row사회복지법인 청운양로원
4th row사회복지법인홍파복지원
5th row천사복지재단
ValueCountFrequency (%)
사회복지법인 40
27.6%
대한예수교장로회제주노회유지재단 4
 
2.8%
재)예수의꽃동네유지재단 4
 
2.8%
재단법인 4
 
2.8%
평안의집 2
 
1.4%
이천한나원 2
 
1.4%
청운양로원 2
 
1.4%
대한불교조계종 2
 
1.4%
불교자비원 2
 
1.4%
은혜마을 2
 
1.4%
Other values (75) 81
55.9%
2023-12-10T22:32:40.521855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 90
 
8.7%
회 87
 
8.4%
복 74
 
7.1%
사 61
 
5.9%
인 58
 
5.6%
법 54
 
5.2%
50
 
4.8%
재 48
 
4.6%
단 44
 
4.3%
원 29
 
2.8%
Other values (148) 440
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 976
94.3%
Space Separator 50
 
4.8%
Close Punctuation 5
 
0.5%
Open Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 90
 
9.2%
회 87
 
8.9%
복 74
 
7.6%
사 61
 
6.2%
인 58
 
5.9%
법 54
 
5.5%
재 48
 
4.9%
단 44
 
4.5%
원 29
 
3.0%
교 21
 
2.2%
Other values (145) 410
42.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 976
94.3%
Common 59
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 90
 
9.2%
회 87
 
8.9%
복 74
 
7.6%
사 61
 
6.2%
인 58
 
5.9%
법 54
 
5.5%
재 48
 
4.9%
단 44
 
4.5%
원 29
 
3.0%
교 21
 
2.2%
Other values (145) 410
42.0%
Common
ValueCountFrequency (%)
50
84.7%
) 5
 
8.5%
( 4
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 976
94.3%
ASCII 59
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 90
 
9.2%
회 87
 
8.9%
복 74
 
7.6%
사 61
 
6.2%
인 58
 
5.9%
법 54
 
5.5%
재 48
 
4.9%
단 44
 
4.5%
원 29
 
3.0%
교 21
 
2.2%
Other values (145) 410
42.0%
ASCII
ValueCountFrequency (%)
50
84.7%
) 5
 
8.5%
( 4
 
6.8%

법인업태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

업종명
Categorical

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
36 
사회복지
14 
노인복지
11 
노인요양원
 
3
노인요양시설
 
3
Other values (24)
33 

Length

Max length14
Median length4
Mean length4.49
Min length2

Unique

Unique16 ?
Unique (%)16.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
36.0%
사회복지 14
 
14.0%
노인복지 11
 
11.0%
노인요양원 3
 
3.0%
노인요양시설 3
 
3.0%
노인 3
 
3.0%
양로원 2
 
2.0%
비영리 2
 
2.0%
노인요양 2
 
2.0%
노인전문요양시설 2
 
2.0%
Other values (19) 22
22.0%

Length

2023-12-10T22:32:40.771301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 36
35.0%
사회복지 14
 
13.6%
노인복지 11
 
10.7%
노인 4
 
3.9%
노인요양원 3
 
2.9%
노인요양시설 3
 
2.9%
장기요양기관 2
 
1.9%
복지시설 2
 
1.9%
양로 2
 
1.9%
사회복지시설 2
 
1.9%
Other values (19) 24
23.3%

공간정보
Text

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:32:41.147110image/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

Unique87 ?
Unique (%)87.0%

Sample

1st row01010000203B1400009E9ADACB306D2D411C7C40B27BDE3D41
2nd row01010000203B140000405E8494A40C2D41460C3BD428DE3D41
3rd row01010000203B14000032E5D645820C2D418187D4772FDE3D41
4th row01010000203B1400000E679AA464532D41906C8D2D83FA3D41
5th row01010000203B1400009540C4D285B82C413EFA70ECDAC03D41
ValueCountFrequency (%)
01010000203b1400009d4646dd0b892b417b3e56e681dd3641 3
 
3.0%
01010000203b1400004dcca3debddf2f41f4aeb480b9643d41 2
 
2.0%
01010000203b14000039bb73afb6c63141944b677bcd703a41 2
 
2.0%
01010000203b1400001aae69ed832e2f417fe3a5f6a2413e41 2
 
2.0%
01010000203b1400005b947e7693c32c41b77ad23f20a33941 2
 
2.0%
01010000203b1400000e679aa464532d41906c8d2d83fa3d41 2
 
2.0%
01010000203b1400009e9adacb306d2d411c7c40b27bde3d41 1
 
1.0%
01010000203b140000705a11d50e992e41e1adfb6a091a3d41 1
 
1.0%
01010000203b1400000239cbe3b1ff2c413a1f015060a73d41 1
 
1.0%
01010000203b1400005faaa68883e42c41612bb21f4a983d41 1
 
1.0%
Other values (83) 83
83.0%
2023-12-10T22:32:41.716320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1240
24.8%
1 653
13.1%
4 476
 
9.5%
3 375
 
7.5%
2 303
 
6.1%
B 281
 
5.6%
D 208
 
4.2%
C 198
 
4.0%
E 190
 
3.8%
6 174
 
3.5%
Other values (6) 902
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3818
76.4%
Uppercase Letter 1182
 
23.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1240
32.5%
1 653
17.1%
4 476
 
12.5%
3 375
 
9.8%
2 303
 
7.9%
6 174
 
4.6%
9 164
 
4.3%
7 148
 
3.9%
5 144
 
3.8%
8 141
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 281
23.8%
D 208
17.6%
C 198
16.8%
E 190
16.1%
A 159
13.5%
F 146
12.4%

Most occurring scripts

ValueCountFrequency (%)
Common 3818
76.4%
Latin 1182
 
23.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1240
32.5%
1 653
17.1%
4 476
 
12.5%
3 375
 
9.8%
2 303
 
7.9%
6 174
 
4.6%
9 164
 
4.3%
7 148
 
3.9%
5 144
 
3.8%
8 141
 
3.7%
Latin
ValueCountFrequency (%)
B 281
23.8%
D 208
17.6%
C 198
16.8%
E 190
16.1%
A 159
13.5%
F 146
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1240
24.8%
1 653
13.1%
4 476
 
9.5%
3 375
 
7.5%
2 303
 
6.1%
B 281
 
5.6%
D 208
 
4.2%
C 198
 
4.0%
E 190
 
3.8%
6 174
 
3.5%
Other values (6) 902
18.0%

Interactions

2023-12-10T22:32:26.657791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:19.829027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:21.287124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:23.996032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:25.179011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:26.805346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:19.984508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:21.777447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:24.133246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:25.320134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:27.432921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:20.573694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:22.576091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:24.775869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:25.908497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:27.562183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:20.975661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:23.064490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:24.906488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:26.357263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:27.712508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:21.138426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:23.556756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:25.048268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:32:26.513530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:32:41.888953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설코드시설명시설영문명시설업태명대표자명홈페이지주소시설이메일주소시설우편번호시설주소건물관리번호시설전화번호팩스번호설립일자소관시군구코드업종분류코드시설종류코드법인명업종명공간정보
시설코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설명1.0001.0001.0001.0000.9990.9950.9951.0000.9961.0000.9970.9970.0000.9020.0001.0000.9940.9690.997
시설영문명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설업태명1.0001.0001.0001.0001.0001.0001.0000.1240.0000.0001.0001.0000.6620.4230.7020.0000.5880.7330.000
대표자명1.0000.9991.0001.0001.0001.0000.9951.0001.0001.0000.9970.9970.9711.0000.9470.0001.0000.9961.000
홈페이지주소1.0000.9951.0001.0001.0001.0000.9911.0001.0001.0000.9940.9940.9901.0000.0001.0001.0000.9410.997
시설이메일주소1.0000.9951.0001.0000.9950.9911.0000.9040.9750.8001.0001.0000.8160.8200.9860.0000.9621.0000.979
시설우편번호1.0001.0001.0000.1241.0001.0000.9041.0001.0000.7141.0001.0000.0000.6880.4670.0000.9940.0001.000
시설주소1.0000.9961.0000.0001.0001.0000.9751.0001.0001.0000.9990.9990.7041.0000.0000.0000.9990.8181.000
건물관리번호1.0001.0001.0000.0001.0001.0000.8000.7141.0001.0001.0001.0000.1531.0000.0000.0000.9970.0001.000
시설전화번호1.0000.9971.0001.0000.9970.9941.0001.0000.9991.0001.0001.0000.9181.0001.0001.0000.9981.0000.999
팩스번호1.0000.9971.0001.0000.9970.9941.0001.0000.9991.0001.0001.0000.9181.0001.0001.0000.9981.0000.999
설립일자1.0000.0001.0000.6620.9710.9900.8160.0000.7040.1530.9180.9181.0000.0000.4580.0000.8390.7730.000
소관시군구코드1.0000.9021.0000.4231.0001.0000.8200.6881.0001.0001.0001.0000.0001.0000.0000.0000.9910.0001.000
업종분류코드1.0000.0001.0000.7020.9470.0000.9860.4670.0000.0001.0001.0000.4580.0001.0000.0000.1980.8450.245
시설종류코드1.0001.0001.0000.0000.0001.0000.0000.0000.0000.0001.0001.0000.0000.0000.0001.0000.9080.0000.000
법인명1.0000.9941.0000.5881.0001.0000.9620.9940.9990.9970.9980.9980.8390.9910.1980.9081.0000.8920.999
업종명1.0000.9691.0000.7330.9960.9411.0000.0000.8180.0001.0001.0000.7730.0000.8450.0000.8921.0000.914
공간정보1.0000.9971.0000.0001.0000.9970.9791.0001.0001.0000.9990.9990.0001.0000.2450.0000.9990.9141.000
2023-12-10T22:32:42.135342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설업태명업종분류코드업종명
시설업태명1.0000.3900.319
업종분류코드0.3901.0000.347
업종명0.3190.3471.000
2023-12-10T22:32:42.263613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설우편번호건물관리번호설립일자소관시군구코드시설종류코드시설업태명업종분류코드업종명
시설우편번호1.0000.6570.1160.7050.1940.0000.2070.000
건물관리번호0.6571.0000.2320.9930.3740.0000.0000.287
설립일자0.1160.2321.0000.1960.5610.3420.0450.313
소관시군구코드0.7050.9930.1961.0000.2720.1570.0000.000
시설종류코드0.1940.3740.5610.2721.0000.0000.0000.000
시설업태명0.0000.0000.3420.1570.0001.0000.3900.319
업종분류코드0.2070.0000.0450.0000.0000.3901.0000.347
업종명0.0000.2870.3130.0000.0000.3190.3471.000

Missing values

2023-12-10T22:32:27.935021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:32:28.249789image/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.
2023-12-10T22:32:28.509604image/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

시설코드시설명시설영문명시설업태명대표자명홈페이지주소시설이메일주소시설우편번호시설주소건물관리번호시설전화번호팩스번호설립일자소관시군구코드업종분류코드시설종류코드법인명법인업태명업종명공간정보
0A0001서울꽃동네신내노인요양원<NA><NA>최은숙<NA>c2lua2Zsb3dlckBoYW5tYWlsLm5ldA==2052서울특별시 중랑구 신내로112601060010642000000187402-490-260002-3422-3510200105111126000000비영리10201(재)예수의꽃동네유지재단<NA>사회복지01010000203B1400009E9ADACB306D2D411C7C40B27BDE3D41
1A0002청운양로원<NA><NA>이종명www.chungwoon.or.krY3dzaG9tZUBoYW5tYWlsLm5ldA==3001서울특별시 종로구 구기동<NA>02-379-923202-396-4469192708011111000000비영리10101청운양로원<NA>양로원01010000203B140000405E8494A40C2D41460C3BD428DE3D41
2A0003청운노인요양원<NA><NA>이종후http://www.chungwoon.or.krY3dzaG9tZUBoYW5tYWlsLm5ldA==3001서울특별시 종로구 비봉길<NA>02-379-923202-396-4469199611011111000000<NA>10201사회복지법인 청운양로원<NA><NA>01010000203B14000032E5D645820C2D418187D4772FDE3D41
3A0004홍파양로원<NA><NA>김우리silver.hongpa.or.kraG9uZ3BhNzNAaGFubWFpbC5uZXQ=1623서울특별시 노원구 동일로248길113501050011266000000880002-939-073502-939-6526198108211135000000사회복지 서비스업10101사회복지법인홍파복지원<NA>노인 양로 복지시설 운영업01010000203B1400000E679AA464532D41906C8D2D83FA3D41
4A0007천사노인요양원<NA>비영리김샛별<NA>Y2hjaDgzODNAbmF2ZXIuY29t7704서울특별시 강서구 강서로45다길115001030011010000002186602-2602-244302-2694-8293198607011150000000210201천사복지재단<NA>사회복지01010000203B1400009540C4D285B82C413EFA70ECDAC03D41
5A0009녹동어울림<NA>비영리임보혜<NA>MA==59556전라남도 고흥군 도양읍 신정중앙길4677025324124080000000001061-842-1002061-842-7002201012294677000000<NA>10202녹동어울림<NA>사회복지01010000203B14000099F80890877B2D41AE7556E603A83841
6A0011용인노인요양원Lotusvill비영리이연우www.yongin-lotusvill.or.krMDMxMzM0MzY3N0BoYW5tYWlsLm5ldA==17181경기도 용인시 처인구 백암면 근삼로4146135029107700002217211031-334-3677031-333-9838199311274146000000비영리10201연꽃마을<NA>노인복지01010000203B1400009CFFF9C6B0202E411C1BCB35930C3D41
7A0012참사랑전문요양원<NA><NA>조혜영www.ph.or.krMA==17305경기도 이천시 신둔면 황무로338번길4150031030101710000014531031-638-0650031-638-0651200308284150000000<NA>10201사회복지법인 평안의집<NA><NA>01010000203B1400007C78EF841C322E4157FB85E7E1533D41
8A0013성안나의집<NA><NA>전계주<NA>b2xkYW5uYUBuYXZlci5jb20=23050인천광역시 강화군 길상면 전등사로<NA>032-937-1935032-937-0696198110172871000000210201사회복지법인 성가수녀회<NA>사회복지01010000203B1400004AC62A34EFCC2B415586B3F986E83D41
9A0015인천신생요양원<NA><NA>정진모www.shinseng.or.krc3Nzd2VsZkBoYW5tYWlsLm5ldA==22687인천광역시 서구 드림로2826010100100860011028766032-566-0580032-566-0595200201212826000000<NA>10201사회복지법인기독교대한감리회<NA><NA>01010000203B1400001036B1B258482C41F62BB6F61BD13D41
시설코드시설명시설영문명시설업태명대표자명홈페이지주소시설이메일주소시설우편번호시설주소건물관리번호시설전화번호팩스번호설립일자소관시군구코드업종분류코드시설종류코드법인명법인업태명업종명공간정보
90A0133생수실버하우스<NA><NA>김수연<NA>c3lhdW5AaGFubWFpbC5uZXQ=22804인천광역시 서구 서달로37번길2826011000105620022005848032-575-2047032-575-2048200201012826000000<NA>10102생수실버하우스<NA><NA>01010000203B140000A4D4951FE84B2C41DB251E5BCDAD3D41
91A0135춘천시립양로원<NA><NA>손영숙http://www.ccsilver.co.krY2NzaWx2ZXIwMzAzQGhhbm1haWwubmV024417강원도 춘천시 스무숲길<NA>033-262-0303033-262-0311195711294211000000노인주거복지시설10101사회복지법인 천주교춘천교구사회복지회<NA>노인복지시설01010000203B1400001AAE69ED832E2F417FE3A5F6A2413E41
92A0136기쁨의집<NA><NA>여정미<NA>eWlqaTEwMDNAbmF2ZXIuY29t10953경기도 파주시 광탄면 보광로610번길4148035029101790001034374031-946-1117031-946-1128200505134148000000<NA>10201<NA><NA><NA>01010000203B140000CE1631ADECEC2C4137985DDBCA1E3E41
93A0139예가노인전문요양원<NA><NA>유명신www.yaegawon.comMA==26217강원도 영월군 남면 신선길4275034024102680002019239033-375-9988033-375-9985200201224275000000<NA>10201사회복지법인 예가원<NA><NA>01010000203B14000002C3C91276873041D8FB223671153D41
94A0140새별이요양원<NA><NA>김선길www.silverhouse.pe.krbmV3c3RhcjU2Mjg5OTVAbmF2ZXIuY29t26111강원도 정선군 임계면 새벼리길<NA>033-562-8995070-8668-0761200501214277000000210202새별이복지재단<NA>노인요양공동생활가정01010000203B1400009CEF5443621A3141FA8E0A8595AD3D41
95A0142옥천꽃동네성모노인요양원<NA><NA>유진선<NA>ZGhyY2pzMjAxNkBoYW5tYWlsLm5ldA==29042충청북도 옥천군 옥천읍 매화길4373025028101000006000002043-733-7505043-731-6880199902234373000000비영리10201(재)예수의꽃동네유지재단<NA>복지사업01010000203B140000CA3D1366ADC82E41EF739DFA93A73B41
96A0143꽃동네노인요양원<NA><NA>김나숙www.kkotnoin.or.kra2tvdGd1d29uQGhhbm1haWwubmV027732충청북도 음성군 맹동면 꽃동네길4377033022100930001170186043-879-0434043-877-7774198712184377000000노인복지시설10201(재)예수의꽃동네유지재단<NA>장기요양기관01010000203B140000A9765D54BBBA2E41A699EE8AEFBA3C41
97A0145보은의집<NA><NA>전인배www.boeunsilver.comY2NoMTU3QG5hdmVyLmNvbQ==28900충청북도 보은군 내북면 남부로<NA>043-544-1123043-544-1125200411014372000000<NA>10201보은복지재단<NA><NA>01010000203B140000D1B8269954FB2E419344E5FCCC1F3C41
98A0148성가정요양원<NA><NA>지석근<NA>YWFhYW9iQG5hdmVyLmNvbQ==26374강원도 원주시 문막읍 귀문로<NA>033-732-7689033-732-7681200308014213000000210202<NA><NA>사회복지01010000203B14000075CB50E10B602F41815369CF224E3D41
99A0149양지노인마을Yangji Siver County<NA>승근배www.yang-ji.neteWFuZ2ppLWVsZGVyQGhhbm1haWwubmV0200600강원도 춘천시 신북읍 은고개길4211025026103590000062792033-243-8795033-243-8798200503184211000000<NA>10201사회복지법인 계명복지재단<NA><NA>01010000203B140000A71FD469DF252F417EA44E6381733E41