Overview

Dataset statistics

Number of variables17
Number of observations415
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.1 KiB
Average record size in memory138.3 B

Variable types

Numeric1
Categorical7
Text8
DateTime1

Alerts

비고 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:24:34.113102
Analysis finished2024-03-14 02:24:35.636193
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct415
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208
Minimum1
Maximum415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-03-14T11:24:35.922277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.7
Q1104.5
median208
Q3311.5
95-th percentile394.3
Maximum415
Range414
Interquartile range (IQR)207

Descriptive statistics

Standard deviation119.94443
Coefficient of variation (CV)0.57665592
Kurtosis-1.2
Mean208
Median Absolute Deviation (MAD)104
Skewness0
Sum86320
Variance14386.667
MonotonicityStrictly increasing
2024-03-14T11:24:36.023113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
2 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
Other values (405) 405
97.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
415 1
0.2%
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
전주시
99 
익산시
80 
군산시
56 
완주군
34 
김제시
31 
Other values (9)
115 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 99
23.9%
익산시 80
19.3%
군산시 56
13.5%
완주군 34
 
8.2%
김제시 31
 
7.5%
정읍시 28
 
6.7%
남원시 23
 
5.5%
진안군 14
 
3.4%
고창군 13
 
3.1%
임실군 11
 
2.7%
Other values (4) 26
 
6.3%

Length

2024-03-14T11:24:36.114771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 99
23.9%
익산시 80
19.3%
군산시 56
13.5%
완주군 34
 
8.2%
김제시 31
 
7.5%
정읍시 28
 
6.7%
남원시 23
 
5.5%
진안군 14
 
3.4%
고창군 13
 
3.1%
임실군 11
 
2.7%
Other values (4) 26
 
6.3%

시설명
Text

Distinct398
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:36.295935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.0481928
Min length2

Characters and Unicode

Total characters2510
Distinct characters301
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique383 ?
Unique (%)92.3%

Sample

1st row아름다운마을
2nd row온누리복지타운
3rd row고창원광효도의집
4th row고창원광보은의집
5th row고창원광참살이
ValueCountFrequency (%)
행복의집 3
 
0.7%
행복한집 3
 
0.7%
평화의집 2
 
0.5%
나눔의집 2
 
0.5%
엘림요양원 2
 
0.5%
희망의쉼터 2
 
0.5%
벧엘요양원 2
 
0.5%
사랑의집 2
 
0.5%
늘푸른요양원 2
 
0.5%
해바라기 2
 
0.5%
Other values (388) 393
94.7%
2024-03-14T11:24:36.626008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 178
 
7.1%
집 111
 
4.4%
양 106
 
4.2%
의 97
 
3.9%
요 95
 
3.8%
인 60
 
2.4%
노 50
 
2.0%
사 47
 
1.9%
홈 43
 
1.7%
랑 38
 
1.5%
Other values (291) 1685
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2504
99.8%
Decimal Number 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 178
 
7.1%
집 111
 
4.4%
양 106
 
4.2%
의 97
 
3.9%
요 95
 
3.8%
인 60
 
2.4%
노 50
 
2.0%
사 47
 
1.9%
홈 43
 
1.7%
랑 38
 
1.5%
Other values (288) 1679
67.1%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
3 1
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2504
99.8%
Common 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 178
 
7.1%
집 111
 
4.4%
양 106
 
4.2%
의 97
 
3.9%
요 95
 
3.8%
인 60
 
2.4%
노 50
 
2.0%
사 47
 
1.9%
홈 43
 
1.7%
랑 38
 
1.5%
Other values (288) 1679
67.1%
Common
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
3 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2504
99.8%
ASCII 6
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 178
 
7.1%
집 111
 
4.4%
양 106
 
4.2%
의 97
 
3.9%
요 95
 
3.8%
인 60
 
2.4%
노 50
 
2.0%
사 47
 
1.9%
홈 43
 
1.7%
랑 38
 
1.5%
Other values (288) 1679
67.1%
ASCII
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
3 1
 
16.7%

시설구분
Categorical

Distinct25
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
노인요양시설
148 
노인요양공동생활가정
76 
장애인거주시설
51 
아동공동생활가정
31 
장애인 공동생활가정
17 
Other values (20)
92 

Length

Max length12
Median length10
Mean length7.6626506
Min length6

Unique

Unique5 ?
Unique (%)1.2%

Sample

1st row장애인거주시설
2nd row노인양로시설
3rd row노인요양시설(휴지)
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
노인요양시설 148
35.7%
노인요양공동생활가정 76
18.3%
장애인거주시설 51
 
12.3%
아동공동생활가정 31
 
7.5%
장애인 공동생활가정 17
 
4.1%
아동양육시설 13
 
3.1%
노인양로시설 12
 
2.9%
아동공동생활시설 10
 
2.4%
사회복귀시설(종합시설) 10
 
2.4%
노인공동생활가정 8
 
1.9%
Other values (15) 39
 
9.4%

Length

2024-03-14T11:24:36.737982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인요양시설 148
33.7%
노인요양공동생활가정 76
17.3%
장애인거주시설 51
 
11.6%
아동공동생활가정 31
 
7.1%
장애인 19
 
4.3%
공동생활가정 17
 
3.9%
아동양육시설 13
 
3.0%
노인양로시설 12
 
2.7%
아동공동생활시설 10
 
2.3%
사회복귀시설(종합시설 10
 
2.3%
Other values (17) 52
 
11.8%

설치신고일
Date

Distinct369
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1935-09-30 00:00:00
Maximum2014-05-30 00:00:00
2024-03-14T11:24:36.839111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:24:37.005930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시설장
Text

Distinct395
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:37.363359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0096386
Min length2

Characters and Unicode

Total characters1249
Distinct characters180
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)91.3%

Sample

1st row이금숙
2nd row정애순
3rd row김귀순
4th row양성숙
5th row정서영
ValueCountFrequency (%)
박미숙 4
 
1.0%
진숙선 3
 
0.7%
이건중 3
 
0.7%
권영조 2
 
0.5%
이법영 2
 
0.5%
신막래 2
 
0.5%
김기성 2
 
0.5%
오동환 2
 
0.5%
김인숙 2
 
0.5%
김진숙 2
 
0.5%
Other values (385) 391
94.2%
2024-03-14T11:24:37.754962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 87
 
7.0%
이 58
 
4.6%
정 50
 
4.0%
영 44
 
3.5%
숙 40
 
3.2%
박 35
 
2.8%
희 35
 
2.8%
성 30
 
2.4%
순 28
 
2.2%
미 28
 
2.2%
Other values (170) 814
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1248
99.9%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 87
 
7.0%
이 58
 
4.6%
정 50
 
4.0%
영 44
 
3.5%
숙 40
 
3.2%
박 35
 
2.8%
희 35
 
2.8%
성 30
 
2.4%
순 28
 
2.2%
미 28
 
2.2%
Other values (169) 813
65.1%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1248
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 87
 
7.0%
이 58
 
4.6%
정 50
 
4.0%
영 44
 
3.5%
숙 40
 
3.2%
박 35
 
2.8%
희 35
 
2.8%
성 30
 
2.4%
순 28
 
2.2%
미 28
 
2.2%
Other values (169) 813
65.1%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1248
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 87
 
7.0%
이 58
 
4.6%
정 50
 
4.0%
영 44
 
3.5%
숙 40
 
3.2%
박 35
 
2.8%
희 35
 
2.8%
성 30
 
2.4%
순 28
 
2.2%
미 28
 
2.2%
Other values (169) 813
65.1%
ASCII
ValueCountFrequency (%)
1 1
100.0%

도로명주소
Text

Distinct399
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:38.054549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length17.414458
Min length10

Characters and Unicode

Total characters7227
Distinct characters270
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique385 ?
Unique (%)92.8%

Sample

1st row고창군 상하면 풍촌길 8
2nd row고창군 부안면 인촌로 893
3rd row고창군 고수면 고수농공단지길 61-3
4th row고창군 고수면 고수농공단지길 61-3
5th row고창군 고수면 봉산2길 40
ValueCountFrequency (%)
전주시 99
 
5.9%
익산시 80
 
4.8%
완산구 60
 
3.6%
군산시 56
 
3.4%
덕진구 39
 
2.3%
완주군 34
 
2.0%
김제시 31
 
1.9%
정읍시 28
 
1.7%
남원시 23
 
1.4%
진안군 14
 
0.8%
Other values (845) 1200
72.1%
2024-03-14T11:24:38.455295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1254
 
17.4%
1 366
 
5.1%
시 318
 
4.4%
산 288
 
4.0%
길 250
 
3.5%
2 236
 
3.3%
로 195
 
2.7%
- 181
 
2.5%
면 177
 
2.4%
3 174
 
2.4%
Other values (260) 3788
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4001
55.4%
Decimal Number 1618
22.4%
Space Separator 1254
 
17.4%
Dash Punctuation 181
 
2.5%
Open Punctuation 84
 
1.2%
Close Punctuation 84
 
1.2%
Uppercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 318
 
7.9%
산 288
 
7.2%
길 250
 
6.2%
로 195
 
4.9%
면 177
 
4.4%
군 157
 
3.9%
주 150
 
3.7%
구 116
 
2.9%
동 115
 
2.9%
전 107
 
2.7%
Other values (243) 2128
53.2%
Decimal Number
ValueCountFrequency (%)
1 366
22.6%
2 236
14.6%
3 174
10.8%
4 150
9.3%
0 127
 
7.8%
7 121
 
7.5%
6 121
 
7.5%
5 117
 
7.2%
8 104
 
6.4%
9 102
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
1254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4001
55.4%
Common 3222
44.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 318
 
7.9%
산 288
 
7.2%
길 250
 
6.2%
로 195
 
4.9%
면 177
 
4.4%
군 157
 
3.9%
주 150
 
3.7%
구 116
 
2.9%
동 115
 
2.9%
전 107
 
2.7%
Other values (243) 2128
53.2%
Common
ValueCountFrequency (%)
1254
38.9%
1 366
 
11.4%
2 236
 
7.3%
- 181
 
5.6%
3 174
 
5.4%
4 150
 
4.7%
0 127
 
3.9%
7 121
 
3.8%
6 121
 
3.8%
5 117
 
3.6%
Other values (5) 375
 
11.6%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4001
55.4%
ASCII 3226
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1254
38.9%
1 366
 
11.3%
2 236
 
7.3%
- 181
 
5.6%
3 174
 
5.4%
4 150
 
4.6%
0 127
 
3.9%
7 121
 
3.8%
6 121
 
3.8%
5 117
 
3.6%
Other values (7) 379
 
11.7%
Hangul
ValueCountFrequency (%)
시 318
 
7.9%
산 288
 
7.2%
길 250
 
6.2%
로 195
 
4.9%
면 177
 
4.4%
군 157
 
3.9%
주 150
 
3.7%
구 116
 
2.9%
동 115
 
2.9%
전 107
 
2.7%
Other values (243) 2128
53.2%

종사자정원
Text

Distinct56
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:38.607277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.4722892
Min length1

Characters and Unicode

Total characters611
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

Unique12 ?
Unique (%)2.9%

Sample

1st row27
2nd row1
3rd row15
4th row32
5th row22
ValueCountFrequency (%)
2 42
 
10.1%
5 30
 
7.2%
1 27
 
6.5%
6 26
 
6.3%
4 26
 
6.3%
3 19
 
4.6%
7 17
 
4.1%
12 13
 
3.1%
10 13
 
3.1%
9 12
 
2.9%
Other values (46) 190
45.8%
2024-03-14T11:24:38.856079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 136
22.3%
2 123
20.1%
4 64
10.5%
3 63
10.3%
5 56
9.2%
6 54
 
8.8%
7 28
 
4.6%
8 28
 
4.6%
0 27
 
4.4%
9 24
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 603
98.7%
Dash Punctuation 8
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 136
22.6%
2 123
20.4%
4 64
10.6%
3 63
10.4%
5 56
9.3%
6 54
 
9.0%
7 28
 
4.6%
8 28
 
4.6%
0 27
 
4.5%
9 24
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 136
22.3%
2 123
20.1%
4 64
10.5%
3 63
10.3%
5 56
9.2%
6 54
 
8.8%
7 28
 
4.6%
8 28
 
4.6%
0 27
 
4.4%
9 24
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 136
22.3%
2 123
20.1%
4 64
10.5%
3 63
10.3%
5 56
9.2%
6 54
 
8.8%
7 28
 
4.6%
8 28
 
4.6%
0 27
 
4.4%
9 24
 
3.9%

종사자현원
Text

Distinct54
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:39.005977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.4795181
Min length1

Characters and Unicode

Total characters614
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

Unique14 ?
Unique (%)3.4%

Sample

1st row26
2nd row1
3rd row1
4th row30
5th row22
ValueCountFrequency (%)
2 47
 
11.3%
4 29
 
7.0%
1 29
 
7.0%
5 28
 
6.7%
6 27
 
6.5%
3 16
 
3.9%
10 16
 
3.9%
11 13
 
3.1%
7 12
 
2.9%
12 12
 
2.9%
Other values (44) 186
44.8%
2024-03-14T11:24:39.310386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 149
24.3%
2 126
20.5%
4 67
10.9%
5 54
 
8.8%
3 54
 
8.8%
6 50
 
8.1%
8 30
 
4.9%
0 28
 
4.6%
7 26
 
4.2%
9 25
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 609
99.2%
Dash Punctuation 5
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 149
24.5%
2 126
20.7%
4 67
11.0%
5 54
 
8.9%
3 54
 
8.9%
6 50
 
8.2%
8 30
 
4.9%
0 28
 
4.6%
7 26
 
4.3%
9 25
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 614
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 149
24.3%
2 126
20.5%
4 67
10.9%
5 54
 
8.8%
3 54
 
8.8%
6 50
 
8.1%
8 30
 
4.9%
0 28
 
4.6%
7 26
 
4.2%
9 25
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 614
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 149
24.3%
2 126
20.5%
4 67
10.9%
5 54
 
8.8%
3 54
 
8.8%
6 50
 
8.1%
8 30
 
4.9%
0 28
 
4.6%
7 26
 
4.2%
9 25
 
4.1%

생활인정원
Text

Distinct85
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:39.565965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length1.7012048
Min length1

Characters and Unicode

Total characters706
Distinct characters13
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

Unique39 ?
Unique (%)9.4%

Sample

1st row50
2nd row55
3rd row55
4th row50
5th row48
ValueCountFrequency (%)
9 59
 
14.2%
7 47
 
11.3%
4 21
 
5.1%
29 20
 
4.8%
50 19
 
4.6%
80 14
 
3.4%
28 11
 
2.7%
40 11
 
2.7%
16 10
 
2.4%
60 9
 
2.2%
Other values (75) 194
46.7%
2024-03-14T11:24:39.858471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113
16.0%
9 96
13.6%
2 84
11.9%
5 75
10.6%
1 75
10.6%
7 70
9.9%
4 57
8.1%
6 48
6.8%
8 46
6.5%
3 29
 
4.1%
Other values (3) 13
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 693
98.2%
Other Letter 10
 
1.4%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
16.3%
9 96
13.9%
2 84
12.1%
5 75
10.8%
1 75
10.8%
7 70
10.1%
4 57
8.2%
6 48
6.9%
8 46
6.6%
3 29
 
4.2%
Other Letter
ValueCountFrequency (%)
세 5
50.0%
대 5
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 696
98.6%
Hangul 10
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113
16.2%
9 96
13.8%
2 84
12.1%
5 75
10.8%
1 75
10.8%
7 70
10.1%
4 57
8.2%
6 48
6.9%
8 46
6.6%
3 29
 
4.2%
Hangul
ValueCountFrequency (%)
세 5
50.0%
대 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 696
98.6%
Hangul 10
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113
16.2%
9 96
13.8%
2 84
12.1%
5 75
10.8%
1 75
10.8%
7 70
10.1%
4 57
8.2%
6 48
6.9%
8 46
6.6%
3 29
 
4.2%
Hangul
ValueCountFrequency (%)
세 5
50.0%
대 5
50.0%

생활인현원
Text

Distinct98
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:40.057625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length1.6337349
Min length1

Characters and Unicode

Total characters678
Distinct characters13
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

Unique39 ?
Unique (%)9.4%

Sample

1st row50
2nd row7
3rd row-
4th row45
5th row36
ValueCountFrequency (%)
4 30
 
7.2%
9 25
 
6.0%
6 22
 
5.3%
5 21
 
5.1%
7 21
 
5.1%
17
 
4.1%
8 16
 
3.9%
20 12
 
2.9%
2 11
 
2.7%
3 10
 
2.4%
Other values (88) 230
55.4%
2024-03-14T11:24:40.379234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 102
15.0%
4 91
13.4%
1 83
12.2%
5 66
9.7%
6 60
8.8%
3 60
8.8%
7 56
8.3%
9 48
7.1%
0 46
6.8%
8 39
 
5.8%
Other values (3) 27
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 651
96.0%
Dash Punctuation 17
 
2.5%
Other Letter 10
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 102
15.7%
4 91
14.0%
1 83
12.7%
5 66
10.1%
6 60
9.2%
3 60
9.2%
7 56
8.6%
9 48
7.4%
0 46
7.1%
8 39
 
6.0%
Other Letter
ValueCountFrequency (%)
세 5
50.0%
대 5
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 668
98.5%
Hangul 10
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 102
15.3%
4 91
13.6%
1 83
12.4%
5 66
9.9%
6 60
9.0%
3 60
9.0%
7 56
8.4%
9 48
7.2%
0 46
6.9%
8 39
 
5.8%
Hangul
ValueCountFrequency (%)
세 5
50.0%
대 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 668
98.5%
Hangul 10
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 102
15.3%
4 91
13.6%
1 83
12.4%
5 66
9.9%
6 60
9.0%
3 60
9.0%
7 56
8.4%
9 48
7.2%
0 46
6.9%
8 39
 
5.8%
Hangul
ValueCountFrequency (%)
세 5
50.0%
대 5
50.0%

운영주체
Text

Distinct143
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-14T11:24:40.526283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length5.0361446
Min length1

Characters and Unicode

Total characters2090
Distinct characters185
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)25.8%

Sample

1st row사복)아름다운마을
2nd row사복)온누리복지타운
3rd row사복)한울안
4th row사복)한울안
5th row사복)한울안
ValueCountFrequency (%)
개인 193
46.5%
사복)삼동회 14
 
3.4%
사복)중도원 7
 
1.7%
원광효도마을 6
 
1.4%
사복)한울안 6
 
1.4%
사복)자림복지재단 6
 
1.4%
한기장복지재단 5
 
1.2%
사복)전주가톨릭사회복지회 4
 
1.0%
사복)한기장복지재단 3
 
0.7%
전주가톨릭사회복지회 3
 
0.7%
Other values (133) 168
40.5%
2024-03-14T11:24:40.786922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 219
 
10.5%
복 211
 
10.1%
개 199
 
9.5%
사 149
 
7.1%
) 135
 
6.5%
지 100
 
4.8%
단 81
 
3.9%
재 80
 
3.8%
회 68
 
3.3%
원 59
 
2.8%
Other values (175) 789
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1943
93.0%
Close Punctuation 135
 
6.5%
Open Punctuation 9
 
0.4%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 219
 
11.3%
복 211
 
10.9%
개 199
 
10.2%
사 149
 
7.7%
지 100
 
5.1%
단 81
 
4.2%
재 80
 
4.1%
회 68
 
3.5%
원 59
 
3.0%
한 32
 
1.6%
Other values (171) 745
38.3%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1944
93.0%
Common 146
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 219
 
11.3%
복 211
 
10.9%
개 199
 
10.2%
사 149
 
7.7%
지 100
 
5.1%
단 81
 
4.2%
재 80
 
4.1%
회 68
 
3.5%
원 59
 
3.0%
한 32
 
1.6%
Other values (172) 746
38.4%
Common
ValueCountFrequency (%)
) 135
92.5%
( 9
 
6.2%
, 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1943
93.0%
ASCII 146
 
7.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 219
 
11.3%
복 211
 
10.9%
개 199
 
10.2%
사 149
 
7.7%
지 100
 
5.1%
단 81
 
4.2%
재 80
 
4.1%
회 68
 
3.5%
원 59
 
3.0%
한 32
 
1.6%
Other values (171) 745
38.3%
ASCII
ValueCountFrequency (%)
) 135
92.5%
( 9
 
6.2%
, 2
 
1.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
-
415 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 415
100.0%

Length

2024-03-14T11:24:40.897995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:40.978661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
415
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
사회복지과
415 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지과 415
100.0%

Length

2024-03-14T11:24:41.061008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:41.134502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 415
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
공개
415 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 415
100.0%

Length

2024-03-14T11:24:41.211640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:41.315526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 415
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2015.1
415 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 415
100.0%

Length

2024-03-14T11:24:41.405921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:41.506005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 415
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
1년
415 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 415
100.0%

Length

2024-03-14T11:24:41.673203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:24:41.754332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 415
100.0%

Interactions

2024-03-14T11:24:35.296567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:24:41.805777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설구분종사자정원종사자현원생활인정원생활인현원
순번1.0000.9320.6820.5360.5320.4860.356
시군명0.9321.0000.5180.3960.3420.4460.000
시설구분0.6820.5181.0000.8180.7220.9150.902
종사자정원0.5360.3960.8181.0000.9940.9820.983
종사자현원0.5320.3420.7220.9941.0000.9840.984
생활인정원0.4860.4460.9150.9820.9841.0000.993
생활인현원0.3560.0000.9020.9830.9840.9931.000
2024-03-14T11:24:41.910599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설구분
시군명1.0000.186
시설구분0.1861.000
2024-03-14T11:24:41.993904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설구분
순번1.0000.7360.309
시군명0.7361.0000.186
시설구분0.3090.1861.000

Missing values

2024-03-14T11:24:35.398232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:24:35.559596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번시군명시설명시설구분설치신고일시설장도로명주소종사자정원종사자현원생활인정원생활인현원운영주체비고자료출처공개여부작성일갱신주기
01고창군아름다운마을장애인거주시설2004-12-04이금숙고창군 상하면 풍촌길 827265050사복)아름다운마을-사회복지과공개2015.11년
12고창군온누리복지타운노인양로시설2005-03-24정애순고창군 부안면 인촌로 89311557사복)온누리복지타운-사회복지과공개2015.11년
23고창군고창원광효도의집노인요양시설(휴지)1997-03-21김귀순고창군 고수면 고수농공단지길 61-315155-사복)한울안-사회복지과공개2015.11년
34고창군고창원광보은의집노인요양시설2003-05-01양성숙고창군 고수면 고수농공단지길 61-332305045사복)한울안-사회복지과공개2015.11년
45고창군고창원광참살이노인요양시설2007-11-09정서영고창군 고수면 봉산2길 4022224836사복)한울안-사회복지과공개2015.11년
56고창군고창군노인요양원노인요양시설2009-09-16박영님고창군 고창읍 전봉준로 88-2744448070대한예수교장로회-사회복지과공개2015.11년
67고창군나사로노인요양공동생활가정노인요양공동생활가정2009-04-24강유성고창군 아산면 효생길 995597개인-사회복지과공개2015.11년
78고창군샬롬공동생활가정노인요양공동생활가정2010-12-10박경선고창군 아산면 효생길 875599개인-사회복지과공개2015.11년
89고창군야고바의집노인요양공동생활가정2008-08-28이희승고창군 부안면 주촌길 57-34495사단법인프란치스꼬전교봉사수녀회-사회복지과공개2015.11년
910고창군에덴의마을노인요양공동생활가정2009-10-01이루리고창군 해리면 해리송산길 1066699개인-사회복지과공개2015.11년
순번시군명시설명시설구분설치신고일시설장도로명주소종사자정원종사자현원생활인정원생활인현원운영주체비고자료출처공개여부작성일갱신주기
405406진안군백운노인선교원노인요양시설2006-11-01김연임진안군 백운면 윤기길 4-3516162828개인-사회복지과공개2015.11년
406407진안군믿음의집노인요양시설2010-03-01송현순진안군 진안읍 원반월안길 39-7991616대한예수교장로회(합동측)-사회복지과공개2015.11년
407408진안군행복한집노인요양공동생활가정2010-08-27김진수진안군 부귀면 모래재로 10809998개인-사회복지과공개2015.11년
408409진안군임마누엘노인요양공동생활가정노인요양공동생활가정2010-09-09김하나진안군 성수면 용포로 1744476개인-사회복지과공개2015.11년
409410진안군햇살어울림노인요양공동생활가정2010-06-25조미정진안군 마령면 널티로 86-628898개인-사회복지과공개2015.11년
410411진안군늘푸른요양원노인요양공동생활가정2012-12-07박지현진안군 진안읍 관산2길 115597개인-사회복지과공개2015.11년
411412진안군가나안나눔터그룹홈아동공동생활가정2005-11-22이춘식진안군 상전면 금지2길 4-32254법인(사단법인가나안나눔터)-사회복지과공개2015.11년
412413진안군사랑샘터그룹홈아동공동생활가정2007-7-12심해연진안군 부귀면 소태정길 1252276개인-사회복지과공개2015.11년
413414진안군창조의집아동공동생활가정2010-12-03최인석진안군 진안읍 중연길 20-92252개인-사회복지과공개2015.11년
414415진안군소망의집사회복귀시설(종합시설)2001-12-14정소양진안군 진안읍 원반월안길 41891516반월복지재단-사회복지과공개2015.11년