Overview

Dataset statistics

Number of variables6
Number of observations224
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory49.6 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description2023년 5월 31일 기준 대전광역시 서구 장기요양기관 지정 현황에 대한 데이터로 장기요양기관명, 급여종류, 지정일자, 주소, 연락처 등의 데이터를 제공
URLhttps://www.data.go.kr/data/15114966/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:13:49.173294
Analysis finished2023-12-12 20:13:49.765790
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct224
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.5
Minimum1
Maximum224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T05:13:49.866661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.15
Q156.75
median112.5
Q3168.25
95-th percentile212.85
Maximum224
Range223
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation64.807407
Coefficient of variation (CV)0.57606584
Kurtosis-1.2
Mean112.5
Median Absolute Deviation (MAD)56
Skewness0
Sum25200
Variance4200
MonotonicityStrictly increasing
2023-12-13T05:13:50.034937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
114 1
 
0.4%
144 1
 
0.4%
145 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
Other values (214) 214
95.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%
217 1
0.4%
216 1
0.4%
215 1
0.4%

기관명
Text

Distinct223
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T05:13:50.279583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length9.0803571
Min length2

Characters and Unicode

Total characters2034
Distinct characters228
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

Unique222 ?
Unique (%)99.1%

Sample

1st row(A)둔산주간보호센터
2nd row(주)대교 뉴이프 방문요양센터 대전센터
3rd row(주)행복한실버케어 주야간보호
4th row100세 노인복지센터
5th rowCSR참사랑노인주간보호센터
ValueCountFrequency (%)
노인복지센터 3
 
1.2%
신한우리재가복지센터 2
 
0.8%
대전사랑의손길 2
 
0.8%
대전요양원 2
 
0.8%
재가노인복지센터 2
 
0.8%
복지용구 2
 
0.8%
집 2
 
0.8%
효성의집1 1
 
0.4%
이레노인복지센터 1
 
0.4%
울엄마재가복지센터 1
 
0.4%
Other values (233) 233
92.8%
2023-12-13T05:13:50.736569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 167
 
8.2%
터 167
 
8.2%
복 125
 
6.1%
지 121
 
5.9%
인 98
 
4.8%
노 93
 
4.6%
가 86
 
4.2%
재 67
 
3.3%
양 41
 
2.0%
요 40
 
2.0%
Other values (218) 1029
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1978
97.2%
Space Separator 27
 
1.3%
Decimal Number 8
 
0.4%
Uppercase Letter 7
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 167
 
8.4%
터 167
 
8.4%
복 125
 
6.3%
지 121
 
6.1%
인 98
 
5.0%
노 93
 
4.7%
가 86
 
4.3%
재 67
 
3.4%
양 41
 
2.1%
요 40
 
2.0%
Other values (203) 973
49.2%
Uppercase Letter
ValueCountFrequency (%)
I 2
28.6%
T 1
14.3%
A 1
14.3%
C 1
14.3%
S 1
14.3%
R 1
14.3%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
1 3
37.5%
2 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1978
97.2%
Common 47
 
2.3%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 167
 
8.4%
터 167
 
8.4%
복 125
 
6.3%
지 121
 
6.1%
인 98
 
5.0%
노 93
 
4.7%
가 86
 
4.3%
재 67
 
3.4%
양 41
 
2.1%
요 40
 
2.0%
Other values (203) 973
49.2%
Latin
ValueCountFrequency (%)
I 2
22.2%
T 1
11.1%
h 1
11.1%
e 1
11.1%
A 1
11.1%
C 1
11.1%
S 1
11.1%
R 1
11.1%
Common
ValueCountFrequency (%)
27
57.4%
) 5
 
10.6%
( 5
 
10.6%
0 4
 
8.5%
1 3
 
6.4%
' 2
 
4.3%
2 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1978
97.2%
ASCII 56
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 167
 
8.4%
터 167
 
8.4%
복 125
 
6.3%
지 121
 
6.1%
인 98
 
5.0%
노 93
 
4.7%
가 86
 
4.3%
재 67
 
3.4%
양 41
 
2.1%
요 40
 
2.0%
Other values (203) 973
49.2%
ASCII
ValueCountFrequency (%)
27
48.2%
) 5
 
8.9%
( 5
 
8.9%
0 4
 
7.1%
1 3
 
5.4%
I 2
 
3.6%
' 2
 
3.6%
T 1
 
1.8%
h 1
 
1.8%
e 1
 
1.8%
Other values (5) 5
 
8.9%

급여종류
Categorical

Distinct17
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
방문요양,방문목욕
89 
노인요양시설(개정법)
29 
방문요양
21 
주야간보호
19 
노인요양공동생활가정
14 
Other values (12)
52 

Length

Max length25
Median length23
Mean length9.25
Min length4

Unique

Unique5 ?
Unique (%)2.2%

Sample

1st row방문요양,주야간보호
2nd row방문요양
3rd row주야간보호
4th row방문요양,방문목욕
5th row방문요양,주야간보호

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 89
39.7%
노인요양시설(개정법) 29
 
12.9%
방문요양 21
 
9.4%
주야간보호 19
 
8.5%
노인요양공동생활가정 14
 
6.2%
방문요양,주야간보호 13
 
5.8%
복지용구제공사업소 12
 
5.4%
방문요양,방문목욕,주야간보호 9
 
4.0%
방문요양,방문목욕,복지용구제공사업소 4
 
1.8%
방문간호 3
 
1.3%
Other values (7) 11
 
4.9%

Length

2023-12-13T05:13:51.235316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양,방문목욕 89
38.7%
노인요양시설(개정법 29
 
12.6%
방문요양 21
 
9.1%
주야간보호 19
 
8.3%
노인요양공동생활가정 14
 
6.1%
방문요양,주야간보호 13
 
5.7%
복지용구제공사업소 12
 
5.2%
방문요양,방문목욕,주야간보호 9
 
3.9%
방문요양,방문목욕,복지용구제공사업소 4
 
1.7%
방문요양,방문목욕,방문간호 3
 
1.3%
Other values (12) 17
 
7.4%

지정일자
Date

Distinct187
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2008-05-20 00:00:00
Maximum2023-06-01 00:00:00
2023-12-13T05:13:51.383046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:13:51.547458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소
Text

Distinct213
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T05:13:51.854943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40.5
Mean length29.348214
Min length21

Characters and Unicode

Total characters6574
Distinct characters178
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)90.6%

Sample

1st row대전광역시 서구 문정로 17, 2,3,4층 (둔산동)
2nd row대전광역시 서구 대덕대로 239, 16층 (둔산동)
3rd row대전광역시 서구 둔산남로9번길 45, 2층 (둔산동)
4th row대전광역시 서구 둔산로 230, 3층 (둔산동)
5th row대전광역시 서구 배재로 196, 201호 (도마동)
ValueCountFrequency (%)
대전광역시 225
 
16.7%
서구 225
 
16.7%
월평동 30
 
2.2%
도마동 27
 
2.0%
2층 22
 
1.6%
변동 18
 
1.3%
정림동 18
 
1.3%
도산로 17
 
1.3%
1층 17
 
1.3%
3층 15
 
1.1%
Other values (386) 734
54.5%
2023-12-13T05:13:52.341532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1127
 
17.1%
동 272
 
4.1%
대 260
 
4.0%
서 242
 
3.7%
1 240
 
3.7%
전 229
 
3.5%
시 227
 
3.5%
구 226
 
3.4%
광 225
 
3.4%
역 225
 
3.4%
Other values (168) 3301
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3638
55.3%
Space Separator 1127
 
17.1%
Decimal Number 1125
 
17.1%
Open Punctuation 223
 
3.4%
Close Punctuation 223
 
3.4%
Other Punctuation 200
 
3.0%
Dash Punctuation 32
 
0.5%
Uppercase Letter 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 272
 
7.5%
대 260
 
7.1%
서 242
 
6.7%
전 229
 
6.3%
시 227
 
6.2%
구 226
 
6.2%
광 225
 
6.2%
역 225
 
6.2%
로 200
 
5.5%
길 108
 
3.0%
Other values (148) 1424
39.1%
Decimal Number
ValueCountFrequency (%)
1 240
21.3%
2 169
15.0%
0 149
13.2%
3 118
10.5%
5 101
9.0%
6 93
 
8.3%
4 93
 
8.3%
7 58
 
5.2%
8 57
 
5.1%
9 47
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 199
99.5%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3638
55.3%
Common 2931
44.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 272
 
7.5%
대 260
 
7.1%
서 242
 
6.7%
전 229
 
6.3%
시 227
 
6.2%
구 226
 
6.2%
광 225
 
6.2%
역 225
 
6.2%
로 200
 
5.5%
길 108
 
3.0%
Other values (148) 1424
39.1%
Common
ValueCountFrequency (%)
1127
38.5%
1 240
 
8.2%
( 223
 
7.6%
) 223
 
7.6%
, 199
 
6.8%
2 169
 
5.8%
0 149
 
5.1%
3 118
 
4.0%
5 101
 
3.4%
6 93
 
3.2%
Other values (7) 289
 
9.9%
Latin
ValueCountFrequency (%)
B 3
60.0%
e 1
 
20.0%
Ⅱ 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3638
55.3%
ASCII 2935
44.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1127
38.4%
1 240
 
8.2%
( 223
 
7.6%
) 223
 
7.6%
, 199
 
6.8%
2 169
 
5.8%
0 149
 
5.1%
3 118
 
4.0%
5 101
 
3.4%
6 93
 
3.2%
Other values (9) 293
 
10.0%
Hangul
ValueCountFrequency (%)
동 272
 
7.5%
대 260
 
7.1%
서 242
 
6.7%
전 229
 
6.3%
시 227
 
6.2%
구 226
 
6.2%
광 225
 
6.2%
역 225
 
6.2%
로 200
 
5.5%
길 108
 
3.0%
Other values (148) 1424
39.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

연락처
Text

Distinct215
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T05:13:52.663584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.049107
Min length12

Characters and Unicode

Total characters2699
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

Unique207 ?
Unique (%)92.4%

Sample

1st row042-488-9255
2nd row042-710-9109
3rd row042-489-5967
4th row042-472-5843
5th row042-825-8233
ValueCountFrequency (%)
042-525-9898 3
 
1.3%
042-581-6200 2
 
0.9%
042-488-6877 2
 
0.9%
042-587-6507 2
 
0.9%
042-522-5958 2
 
0.9%
042-522-7118 2
 
0.9%
042-477-1153 2
 
0.9%
042-486-8337 2
 
0.9%
042-639-6364 1
 
0.4%
042-581-6400 1
 
0.4%
Other values (205) 205
91.5%
2023-12-13T05:13:53.174499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 448
16.6%
2 382
14.2%
4 366
13.6%
0 354
13.1%
5 283
10.5%
8 204
7.6%
3 158
 
5.9%
9 137
 
5.1%
7 136
 
5.0%
1 131
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2251
83.4%
Dash Punctuation 448
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 382
17.0%
4 366
16.3%
0 354
15.7%
5 283
12.6%
8 204
9.1%
3 158
7.0%
9 137
 
6.1%
7 136
 
6.0%
1 131
 
5.8%
6 100
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2699
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 448
16.6%
2 382
14.2%
4 366
13.6%
0 354
13.1%
5 283
10.5%
8 204
7.6%
3 158
 
5.9%
9 137
 
5.1%
7 136
 
5.0%
1 131
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 448
16.6%
2 382
14.2%
4 366
13.6%
0 354
13.1%
5 283
10.5%
8 204
7.6%
3 158
 
5.9%
9 137
 
5.1%
7 136
 
5.0%
1 131
 
4.9%

Interactions

2023-12-13T05:13:49.498270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:13:53.307578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번급여종류
순번1.0000.247
급여종류0.2471.000
2023-12-13T05:13:53.413713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번급여종류
순번1.0000.095
급여종류0.0951.000

Missing values

2023-12-13T05:13:49.613826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:13:49.721262image/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

순번기관명급여종류지정일자주소연락처
01(A)둔산주간보호센터방문요양,주야간보호2015-02-26대전광역시 서구 문정로 17, 2,3,4층 (둔산동)042-488-9255
12(주)대교 뉴이프 방문요양센터 대전센터방문요양2023-04-27대전광역시 서구 대덕대로 239, 16층 (둔산동)042-710-9109
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