Overview

Dataset statistics

Number of variables8
Number of observations560
Missing cells2131
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.1 KiB
Average record size in memory64.2 B

Variable types

Categorical1
Text7

Dataset

Description합천군에서 운영되고 있는 노인 복지시설의 시설종류, 시설명, 소재지, 대표자명, 시설장명, 전화번호, 팩스번호 등의 현황을 제공하고 있습니다.
Author경상남도 합천군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3037357

Alerts

시설종류 is highly imbalanced (85.3%)Imbalance
시설장명 has 523 (93.4%) missing valuesMissing
전화번호 has 524 (93.6%) missing valuesMissing
팩스번호 has 526 (93.9%) missing valuesMissing
비고 has 558 (99.6%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:03:11.247257
Analysis finished2023-12-11 00:03:12.216408
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

IMBALANCE 

Distinct13
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
노인여가복지시설
524 
방문요양
 
8
요양시설
 
6
복지용구
 
6
요양, 목욕
 
5
Other values (8)
 
11

Length

Max length18
Median length8
Mean length7.8857143
Min length4

Unique

Unique6 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
노인여가복지시설 524
93.6%
방문요양 8
 
1.4%
요양시설 6
 
1.1%
복지용구 6
 
1.1%
요양, 목욕 5
 
0.9%
방문요양, 방문목욕 3
 
0.5%
방문요양, 주간보호 2
 
0.4%
노인요양, 공동생활가정 1
 
0.2%
방문요양, 목욕주간보호(재가지원) 1
 
0.2%
요양, 목욕, 주야간 1
 
0.2%
Other values (3) 3
 
0.5%

Length

2023-12-11T09:03:12.315742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인여가복지시설 524
91.3%
방문요양 14
 
2.4%
요양시설 6
 
1.0%
복지용구 6
 
1.0%
요양 6
 
1.0%
목욕 6
 
1.0%
방문목욕 3
 
0.5%
주간보호 3
 
0.5%
노인요양 1
 
0.2%
공동생활가정 1
 
0.2%
Other values (4) 4
 
0.7%

시설명
Text

UNIQUE 

Distinct560
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-11T09:03:12.573569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length9.7714286
Min length5

Characters and Unicode

Total characters5472
Distinct characters246
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)100.0%

Sample

1st row(합천)중흥경로당
2nd row(합천)창동경로당
3rd row(합천)하이츠경로당
4th row(합천)옥산동경로당
5th row(합천)옥산동할머니경로당
ValueCountFrequency (%)
합천)중흥경로당 1
 
0.2%
쌍백)평구1구경로당 1
 
0.2%
쌍백)하안경로당 1
 
0.2%
쌍백)안구경로당 1
 
0.2%
쌍백)신기경로당 1
 
0.2%
쌍백)당진경로당 1
 
0.2%
쌍백)평구할머니 1
 
0.2%
쌍백)쌍백경로당 1
 
0.2%
쌍백)이암경로당 1
 
0.2%
쌍백)평지경로당(곡내 1
 
0.2%
Other values (556) 556
98.2%
2023-12-11T09:03:12.974717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 556
 
10.2%
( 538
 
9.8%
) 538
 
9.8%
당 523
 
9.6%
경 521
 
9.5%
가 143
 
2.6%
곡 110
 
2.0%
구 109
 
2.0%
야 94
 
1.7%
산 90
 
1.6%
Other values (236) 2250
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4296
78.5%
Open Punctuation 538
 
9.8%
Close Punctuation 538
 
9.8%
Decimal Number 92
 
1.7%
Space Separator 6
 
0.1%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 556
 
12.9%
당 523
 
12.2%
경 521
 
12.1%
가 143
 
3.3%
곡 110
 
2.6%
구 109
 
2.5%
야 94
 
2.2%
산 90
 
2.1%
대 87
 
2.0%
양 59
 
1.4%
Other values (226) 2004
46.6%
Decimal Number
ValueCountFrequency (%)
2 43
46.7%
1 36
39.1%
3 11
 
12.0%
4 1
 
1.1%
5 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 538
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4296
78.5%
Common 1175
 
21.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 556
 
12.9%
당 523
 
12.2%
경 521
 
12.1%
가 143
 
3.3%
곡 110
 
2.6%
구 109
 
2.5%
야 94
 
2.2%
산 90
 
2.1%
대 87
 
2.0%
양 59
 
1.4%
Other values (226) 2004
46.6%
Common
ValueCountFrequency (%)
( 538
45.8%
) 538
45.8%
2 43
 
3.7%
1 36
 
3.1%
3 11
 
0.9%
6
 
0.5%
+ 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4296
78.5%
ASCII 1176
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 556
 
12.9%
당 523
 
12.2%
경 521
 
12.1%
가 143
 
3.3%
곡 110
 
2.6%
구 109
 
2.5%
야 94
 
2.2%
산 90
 
2.1%
대 87
 
2.0%
양 59
 
1.4%
Other values (226) 2004
46.6%
ASCII
ValueCountFrequency (%)
( 538
45.7%
) 538
45.7%
2 43
 
3.7%
1 36
 
3.1%
3 11
 
0.9%
6
 
0.5%
+ 1
 
0.1%
A 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%

소재지
Text

Distinct550
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-11T09:03:13.404769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length15.739286
Min length12

Characters and Unicode

Total characters8814
Distinct characters192
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique540 ?
Unique (%)96.4%

Sample

1st row합천군 합천읍 중흥길 25
2nd row합천군 합천읍 중앙로 27
3rd row합천군 합천읍 충효로 13
4th row합천군 합천읍 충효로 106-8
5th row합천군 합천읍 충효로 106-8
ValueCountFrequency (%)
합천군 560
24.9%
가야면 51
 
2.3%
삼가면 50
 
2.2%
합천읍 46
 
2.0%
율곡면 41
 
1.8%
용주면 36
 
1.6%
야로면 34
 
1.5%
쌍백면 33
 
1.5%
청덕면 31
 
1.4%
가회면 30
 
1.3%
Other values (787) 1337
59.4%
2023-12-11T09:03:13.943379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1689
19.2%
천 619
 
7.0%
합 607
 
6.9%
군 560
 
6.4%
면 514
 
5.8%
길 440
 
5.0%
1 434
 
4.9%
2 301
 
3.4%
3 191
 
2.2%
4 186
 
2.1%
Other values (182) 3273
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5255
59.6%
Decimal Number 1693
 
19.2%
Space Separator 1689
 
19.2%
Dash Punctuation 171
 
1.9%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 619
 
11.8%
합 607
 
11.6%
군 560
 
10.7%
면 514
 
9.8%
길 440
 
8.4%
가 164
 
3.1%
로 158
 
3.0%
야 108
 
2.1%
산 107
 
2.0%
곡 106
 
2.0%
Other values (169) 1872
35.6%
Decimal Number
ValueCountFrequency (%)
1 434
25.6%
2 301
17.8%
3 191
11.3%
4 186
11.0%
5 122
 
7.2%
6 101
 
6.0%
8 98
 
5.8%
7 93
 
5.5%
0 84
 
5.0%
9 83
 
4.9%
Space Separator
ValueCountFrequency (%)
1689
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5255
59.6%
Common 3559
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 619
 
11.8%
합 607
 
11.6%
군 560
 
10.7%
면 514
 
9.8%
길 440
 
8.4%
가 164
 
3.1%
로 158
 
3.0%
야 108
 
2.1%
산 107
 
2.0%
곡 106
 
2.0%
Other values (169) 1872
35.6%
Common
ValueCountFrequency (%)
1689
47.5%
1 434
 
12.2%
2 301
 
8.5%
3 191
 
5.4%
4 186
 
5.2%
- 171
 
4.8%
5 122
 
3.4%
6 101
 
2.8%
8 98
 
2.8%
7 93
 
2.6%
Other values (3) 173
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5255
59.6%
ASCII 3559
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1689
47.5%
1 434
 
12.2%
2 301
 
8.5%
3 191
 
5.4%
4 186
 
5.2%
- 171
 
4.8%
5 122
 
3.4%
6 101
 
2.8%
8 98
 
2.8%
7 93
 
2.6%
Other values (3) 173
 
4.9%
Hangul
ValueCountFrequency (%)
천 619
 
11.8%
합 607
 
11.6%
군 560
 
10.7%
면 514
 
9.8%
길 440
 
8.4%
가 164
 
3.1%
로 158
 
3.0%
야 108
 
2.1%
산 107
 
2.0%
곡 106
 
2.0%
Other values (169) 1872
35.6%

대표자명
Text

Distinct551
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-11T09:03:14.317412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9946429
Min length2

Characters and Unicode

Total characters1677
Distinct characters180
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

Unique542 ?
Unique (%)96.8%

Sample

1st row김수정
2nd row박희화
3rd row이재남
4th row곽태근
5th row최승자
ValueCountFrequency (%)
정태식 2
 
0.4%
정해동 2
 
0.4%
서문교 2
 
0.4%
이한익 2
 
0.4%
김종수 2
 
0.4%
이건우 2
 
0.4%
유덕화 2
 
0.4%
이장열 2
 
0.4%
이한수 2
 
0.4%
한귀란 1
 
0.2%
Other values (541) 541
96.6%
2023-12-11T09:03:14.858501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 102
 
6.1%
김 88
 
5.2%
정 74
 
4.4%
수 57
 
3.4%
영 48
 
2.9%
박 35
 
2.1%
석 29
 
1.7%
상 29
 
1.7%
종 28
 
1.7%
용 27
 
1.6%
Other values (170) 1160
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1677
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 102
 
6.1%
김 88
 
5.2%
정 74
 
4.4%
수 57
 
3.4%
영 48
 
2.9%
박 35
 
2.1%
석 29
 
1.7%
상 29
 
1.7%
종 28
 
1.7%
용 27
 
1.6%
Other values (170) 1160
69.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1677
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 102
 
6.1%
김 88
 
5.2%
정 74
 
4.4%
수 57
 
3.4%
영 48
 
2.9%
박 35
 
2.1%
석 29
 
1.7%
상 29
 
1.7%
종 28
 
1.7%
용 27
 
1.6%
Other values (170) 1160
69.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1677
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 102
 
6.1%
김 88
 
5.2%
정 74
 
4.4%
수 57
 
3.4%
영 48
 
2.9%
박 35
 
2.1%
석 29
 
1.7%
상 29
 
1.7%
종 28
 
1.7%
용 27
 
1.6%
Other values (170) 1160
69.2%

시설장명
Text

MISSING 

Distinct35
Distinct (%)94.6%
Missing523
Missing (%)93.4%
Memory size4.5 KiB
2023-12-11T09:03:15.114960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters111
Distinct characters66
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

Unique33 ?
Unique (%)89.2%

Sample

1st row서정희
2nd row문기영
3rd row노은하
4th row조남이
5th row성병태
ValueCountFrequency (%)
심정원 2
 
5.4%
성병태 2
 
5.4%
이종철 1
 
2.7%
임진영 1
 
2.7%
유덕화 1
 
2.7%
전인나 1
 
2.7%
강영구 1
 
2.7%
박민수 1
 
2.7%
김선애 1
 
2.7%
강정희 1
 
2.7%
Other values (25) 25
67.6%
2023-12-11T09:03:15.514120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 8
 
7.2%
희 6
 
5.4%
진 5
 
4.5%
영 5
 
4.5%
심 4
 
3.6%
이 4
 
3.6%
원 3
 
2.7%
민 3
 
2.7%
구 3
 
2.7%
선 2
 
1.8%
Other values (56) 68
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 8
 
7.2%
희 6
 
5.4%
진 5
 
4.5%
영 5
 
4.5%
심 4
 
3.6%
이 4
 
3.6%
원 3
 
2.7%
민 3
 
2.7%
구 3
 
2.7%
선 2
 
1.8%
Other values (56) 68
61.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 8
 
7.2%
희 6
 
5.4%
진 5
 
4.5%
영 5
 
4.5%
심 4
 
3.6%
이 4
 
3.6%
원 3
 
2.7%
민 3
 
2.7%
구 3
 
2.7%
선 2
 
1.8%
Other values (56) 68
61.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 8
 
7.2%
희 6
 
5.4%
진 5
 
4.5%
영 5
 
4.5%
심 4
 
3.6%
이 4
 
3.6%
원 3
 
2.7%
민 3
 
2.7%
구 3
 
2.7%
선 2
 
1.8%
Other values (56) 68
61.3%

전화번호
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing524
Missing (%)93.6%
Memory size4.5 KiB
2023-12-11T09:03:15.796607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters432
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

Unique36 ?
Unique (%)100.0%

Sample

1st row055-934-0575
2nd row055-931-1012
3rd row055-934-0805
4th row055-931-8600
5th row055-932-5555
ValueCountFrequency (%)
055-934-0575 1
 
2.8%
055-931-1012 1
 
2.8%
055-934-1743 1
 
2.8%
055-932-2488 1
 
2.8%
055-932-6662 1
 
2.8%
055-932-9900 1
 
2.8%
055-933-2803 1
 
2.8%
055-933-3111 1
 
2.8%
055-932-2048 1
 
2.8%
055-934-1326 1
 
2.8%
Other values (26) 26
72.2%
2023-12-11T09:03:16.214449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 90
20.8%
- 72
16.7%
3 58
13.4%
0 57
13.2%
9 44
10.2%
1 26
 
6.0%
4 23
 
5.3%
2 22
 
5.1%
7 15
 
3.5%
6 13
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 90
25.0%
3 58
16.1%
0 57
15.8%
9 44
12.2%
1 26
 
7.2%
4 23
 
6.4%
2 22
 
6.1%
7 15
 
4.2%
6 13
 
3.6%
8 12
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 90
20.8%
- 72
16.7%
3 58
13.4%
0 57
13.2%
9 44
10.2%
1 26
 
6.0%
4 23
 
5.3%
2 22
 
5.1%
7 15
 
3.5%
6 13
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 90
20.8%
- 72
16.7%
3 58
13.4%
0 57
13.2%
9 44
10.2%
1 26
 
6.0%
4 23
 
5.3%
2 22
 
5.1%
7 15
 
3.5%
6 13
 
3.0%

팩스번호
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing526
Missing (%)93.9%
Memory size4.5 KiB
2023-12-11T09:03:16.462486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length12

Characters and Unicode

Total characters409
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

Unique32 ?
Unique (%)94.1%

Sample

1st row070-4600-6880
2nd row055-931-1013
3rd row055-931-9119
4th row055-931-8118
5th row055-934-1881
ValueCountFrequency (%)
055-934-1881 2
 
5.9%
055-933-0858 1
 
2.9%
055-934-1327 1
 
2.9%
055-934-1744 1
 
2.9%
055-931-6242 1
 
2.9%
055-932-1112 1
 
2.9%
055-931-5574 1
 
2.9%
055-933-2801 1
 
2.9%
055-933-2333 1
 
2.9%
055-931-8383 1
 
2.9%
Other values (23) 23
67.6%
2023-12-11T09:03:16.900526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 78
19.1%
- 68
16.6%
3 52
12.7%
0 49
12.0%
9 45
11.0%
1 37
9.0%
4 19
 
4.6%
8 19
 
4.6%
7 18
 
4.4%
2 17
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
83.4%
Dash Punctuation 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 78
22.9%
3 52
15.2%
0 49
14.4%
9 45
13.2%
1 37
10.9%
4 19
 
5.6%
8 19
 
5.6%
7 18
 
5.3%
2 17
 
5.0%
6 7
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 78
19.1%
- 68
16.6%
3 52
12.7%
0 49
12.0%
9 45
11.0%
1 37
9.0%
4 19
 
4.6%
8 19
 
4.6%
7 18
 
4.4%
2 17
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 78
19.1%
- 68
16.6%
3 52
12.7%
0 49
12.0%
9 45
11.0%
1 37
9.0%
4 19
 
4.6%
8 19
 
4.6%
7 18
 
4.4%
2 17
 
4.2%

비고
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing558
Missing (%)99.6%
Memory size4.5 KiB
2023-12-11T09:03:17.054923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters5
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

Unique2 ?
Unique (%)100.0%

Sample

1st row위탁
2nd row휴지중
ValueCountFrequency (%)
위탁 1
50.0%
휴지중 1
50.0%
2023-12-11T09:03:17.394585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
위 1
20.0%
탁 1
20.0%
휴 1
20.0%
지 1
20.0%
중 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
위 1
20.0%
탁 1
20.0%
휴 1
20.0%
지 1
20.0%
중 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
위 1
20.0%
탁 1
20.0%
휴 1
20.0%
지 1
20.0%
중 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
위 1
20.0%
탁 1
20.0%
휴 1
20.0%
지 1
20.0%
중 1
20.0%

Correlations

2023-12-11T09:03:17.479430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류시설장명전화번호팩스번호비고
시설종류1.0000.9481.0000.9470.000
시설장명0.9481.0001.0001.0000.000
전화번호1.0001.0001.0001.000NaN
팩스번호0.9471.0001.0001.000NaN
비고0.0000.000NaNNaN1.000

Missing values

2023-12-11T09:03:11.850963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:03:11.990638image/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.
2023-12-11T09:03:12.141693image/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

시설종류시설명소재지대표자명시설장명전화번호팩스번호비고
0노인여가복지시설(합천)중흥경로당합천군 합천읍 중흥길 25김수정<NA><NA><NA><NA>
1노인여가복지시설(합천)창동경로당합천군 합천읍 중앙로 27박희화<NA><NA><NA><NA>
2노인여가복지시설(합천)하이츠경로당합천군 합천읍 충효로 13이재남<NA><NA><NA><NA>
3노인여가복지시설(합천)옥산동경로당합천군 합천읍 충효로 106-8곽태근<NA><NA><NA><NA>
4노인여가복지시설(합천)옥산동할머니경로당합천군 합천읍 충효로 106-8최승자<NA><NA><NA><NA>
5노인여가복지시설(합천)한주경로당합천군 합천읍 동서로 15구점상<NA><NA><NA><NA>
6노인여가복지시설(합천)정대경로당합천군 합천읍 중앙로4길 4정정웅<NA><NA><NA><NA>
7노인여가복지시설(합천)정대할머니경로당합천군 합천읍 중앙로 4길 16방주뇌<NA><NA><NA><NA>
8노인여가복지시설(합천)교동경로당합천군 합천읍 교동1길 24박위철<NA><NA><NA><NA>
9노인여가복지시설(합천)합천읍분회경로당합천군 합천읍 충효로 54-1이한익<NA><NA><NA><NA>
시설종류시설명소재지대표자명시설장명전화번호팩스번호비고
550방문요양다함노인복지센터합천군 적중면 양림길 17-5이종철이종철055-932-2048<NA><NA>
551방문요양, 주간보호따스한 주야간 보호센터합천군 초계면 대동길 18유덕화권희야055-934-1326055-934-1327<NA>
552복지용구가야의료기합천군 합천읍 충효로 84-1박윤희박윤희055-933-3344<NA><NA>
553복지용구합천의료기합천군 합천읍 대야로 886-1정무학정무학055-932-7788055-931-8383<NA>
554복지용구합천복지용구센터합천군 합천읍 충효로 4길 4심정원심정원055-934-7715055-934-7798<NA>
555복지용구금강복지용구 사업소합천군 합천읍 동서로 42-4심정목심정목055-933-5830055-933-5850<NA>
556복지용구금강의료기합천군 합천읍 동서로 42-3, 1호차의진차의진055-931-5554055-931-5584<NA>
557복지용구굿모닝 의료기합천군 합천읍 동서로87, 102호송근호송근호055-932-7770055-931-7774<NA>
558재가노인복지시설(방문요양)코끼리행복복지센터합천군 가야면 가야시장로 98이규정선종대055-934-3144055-934-3144<NA>
559노인여가복지시설합천댐노인복지관합천군 대병면 회양관광단지길 79-9김재희이상훈055-933-0596055-933-0597<NA>