Overview

Dataset statistics

Number of variables5
Number of observations171
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory40.8 B

Variable types

Text3
Categorical2

Dataset

Description대전광역시 서구 관내에서 운영 중인 사회복지시설의 정보(시설명, 전화번호, 소재지, 상담 내용 등)를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15124366/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 00:36:59.994252
Analysis finished2023-12-12 00:37:00.429692
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct170
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T09:37:00.615486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.7426901
Min length2

Characters and Unicode

Total characters1324
Distinct characters226
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)98.8%

Sample

1st row한마음의집
2nd row한몸
3rd row연광자립원
4th row행복누림
5th row한줄기
ValueCountFrequency (%)
사랑누리 2
 
1.1%
복지용구 2
 
1.1%
대전요양원 2
 
1.1%
서구노인복지관 2
 
1.1%
한솔주야간보호센터 1
 
0.5%
한아름실버케어센터 1
 
0.5%
성애노인요양원 1
 
0.5%
효사랑재가노인복지센터 1
 
0.5%
케어닥 1
 
0.5%
태안재가노인복지센터 1
 
0.5%
Other values (168) 168
92.3%
2023-12-12T09:37:01.045166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 81
 
6.1%
센 81
 
6.1%
호 48
 
3.6%
인 47
 
3.5%
보 46
 
3.5%
복 39
 
2.9%
간 38
 
2.9%
지 37
 
2.8%
주 36
 
2.7%
원 34
 
2.6%
Other values (216) 837
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1295
97.8%
Space Separator 12
 
0.9%
Letter Number 4
 
0.3%
Uppercase Letter 4
 
0.3%
Decimal Number 3
 
0.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 81
 
6.3%
센 81
 
6.3%
호 48
 
3.7%
인 47
 
3.6%
보 46
 
3.6%
복 39
 
3.0%
간 38
 
2.9%
지 37
 
2.9%
주 36
 
2.8%
원 34
 
2.6%
Other values (203) 808
62.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
R 1
25.0%
T 1
25.0%
C 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1295
97.8%
Common 19
 
1.4%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 81
 
6.3%
센 81
 
6.3%
호 48
 
3.7%
인 47
 
3.6%
보 46
 
3.6%
복 39
 
3.0%
간 38
 
2.9%
지 37
 
2.9%
주 36
 
2.8%
원 34
 
2.6%
Other values (203) 808
62.4%
Latin
ValueCountFrequency (%)
Ⅰ 2
20.0%
Ⅱ 2
20.0%
S 1
10.0%
R 1
10.0%
T 1
10.0%
h 1
10.0%
e 1
10.0%
C 1
10.0%
Common
ValueCountFrequency (%)
12
63.2%
0 2
 
10.5%
) 2
 
10.5%
( 2
 
10.5%
1 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1295
97.8%
ASCII 25
 
1.9%
Number Forms 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 81
 
6.3%
센 81
 
6.3%
호 48
 
3.7%
인 47
 
3.6%
보 46
 
3.6%
복 39
 
3.0%
간 38
 
2.9%
지 37
 
2.9%
주 36
 
2.8%
원 34
 
2.6%
Other values (203) 808
62.4%
ASCII
ValueCountFrequency (%)
12
48.0%
0 2
 
8.0%
) 2
 
8.0%
( 2
 
8.0%
1 1
 
4.0%
S 1
 
4.0%
R 1
 
4.0%
T 1
 
4.0%
h 1
 
4.0%
e 1
 
4.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%

전화번호
Text

Distinct164
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T09:37:01.302436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.046784
Min length12

Characters and Unicode

Total characters2060
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

Unique157 ?
Unique (%)91.8%

Sample

1st row042-585-0781
2nd row042-583-4472
3rd row042-581-0083
4th row042-586-4665
5th row042-385-0788
ValueCountFrequency (%)
042-488-6877 2
 
1.2%
042-544-6669 2
 
1.2%
042-525-9898 2
 
1.2%
042-581-6200 2
 
1.2%
042-488-6297 2
 
1.2%
042-522-7118 2
 
1.2%
042-522-5958 2
 
1.2%
042-585-0781 1
 
0.6%
042-478-9988 1
 
0.6%
042-582-7502 1
 
0.6%
Other values (154) 154
90.1%
2023-12-12T09:37:01.868603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 342
16.6%
2 306
14.9%
4 291
14.1%
0 265
12.9%
5 213
10.3%
8 165
8.0%
3 112
 
5.4%
1 110
 
5.3%
7 90
 
4.4%
6 88
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1718
83.4%
Dash Punctuation 342
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 306
17.8%
4 291
16.9%
0 265
15.4%
5 213
12.4%
8 165
9.6%
3 112
 
6.5%
1 110
 
6.4%
7 90
 
5.2%
6 88
 
5.1%
9 78
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2060
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 342
16.6%
2 306
14.9%
4 291
14.1%
0 265
12.9%
5 213
10.3%
8 165
8.0%
3 112
 
5.4%
1 110
 
5.3%
7 90
 
4.4%
6 88
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 342
16.6%
2 306
14.9%
4 291
14.1%
0 265
12.9%
5 213
10.3%
8 165
8.0%
3 112
 
5.4%
1 110
 
5.3%
7 90
 
4.4%
6 88
 
4.3%

소재지
Text

Distinct157
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T09:37:02.207410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length26.578947
Min length19

Characters and Unicode

Total characters4545
Distinct characters153
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

Unique143 ?
Unique (%)83.6%

Sample

1st row대전광역시 서구 삼보실길 123 (장안동)
2nd row대전광역시 서구 복수남로 30 (복수동)
3rd row대전광역시 서구 동서대로998번길 13-5 (내동)
4th row대전광역시 서구 월평북로 11 (월평동)
5th row대전광역시 서구 영골길 159-1(오동)
ValueCountFrequency (%)
서구 172
 
19.7%
대전광역시 171
 
19.6%
도마동 17
 
2.0%
2층 12
 
1.4%
도산로 9
 
1.0%
월평동 9
 
1.0%
괴정동 8
 
0.9%
상가동 7
 
0.8%
3층 7
 
0.8%
정림동 7
 
0.8%
Other values (294) 452
51.9%
2023-12-12T09:37:02.611151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
 
15.4%
동 196
 
4.3%
대 186
 
4.1%
서 184
 
4.0%
전 175
 
3.9%
구 174
 
3.8%
시 172
 
3.8%
( 171
 
3.8%
광 171
 
3.8%
역 171
 
3.8%
Other values (143) 2244
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2630
57.9%
Decimal Number 739
 
16.3%
Space Separator 701
 
15.4%
Open Punctuation 171
 
3.8%
Close Punctuation 171
 
3.8%
Other Punctuation 99
 
2.2%
Dash Punctuation 29
 
0.6%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 196
 
7.5%
대 186
 
7.1%
서 184
 
7.0%
전 175
 
6.7%
구 174
 
6.6%
시 172
 
6.5%
광 171
 
6.5%
역 171
 
6.5%
로 142
 
5.4%
길 86
 
3.3%
Other values (124) 973
37.0%
Decimal Number
ValueCountFrequency (%)
1 161
21.8%
2 101
13.7%
0 83
11.2%
6 78
10.6%
3 70
9.5%
5 63
 
8.5%
4 53
 
7.2%
8 52
 
7.0%
7 43
 
5.8%
9 35
 
4.7%
Space Separator
ValueCountFrequency (%)
701
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Other Punctuation
ValueCountFrequency (%)
, 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2630
57.9%
Common 1911
42.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 196
 
7.5%
대 186
 
7.1%
서 184
 
7.0%
전 175
 
6.7%
구 174
 
6.6%
시 172
 
6.5%
광 171
 
6.5%
역 171
 
6.5%
로 142
 
5.4%
길 86
 
3.3%
Other values (124) 973
37.0%
Common
ValueCountFrequency (%)
701
36.7%
( 171
 
8.9%
) 171
 
8.9%
1 161
 
8.4%
2 101
 
5.3%
, 99
 
5.2%
0 83
 
4.3%
6 78
 
4.1%
3 70
 
3.7%
5 63
 
3.3%
Other values (6) 213
 
11.1%
Latin
ValueCountFrequency (%)
B 2
50.0%
Ⅱ 1
25.0%
e 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2630
57.9%
ASCII 1914
42.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
36.6%
( 171
 
8.9%
) 171
 
8.9%
1 161
 
8.4%
2 101
 
5.3%
, 99
 
5.2%
0 83
 
4.3%
6 78
 
4.1%
3 70
 
3.7%
5 63
 
3.3%
Other values (8) 216
 
11.3%
Hangul
ValueCountFrequency (%)
동 196
 
7.5%
대 186
 
7.1%
서 184
 
7.0%
전 175
 
6.7%
구 174
 
6.6%
시 172
 
6.5%
광 171
 
6.5%
역 171
 
6.5%
로 142
 
5.4%
길 86
 
3.3%
Other values (124) 973
37.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

상담내용
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
사회복지/재가노인복지시설
70 
사회/장애인복지
52 
사회/노인의료복지
45 
노인여가프로그램운영
 
2
사회/노인주거복지
 
2

Length

Max length13
Median length10
Mean length10.345029
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회/장애인복지
2nd row사회/장애인복지
3rd row사회/장애인복지
4th row사회/장애인복지
5th row사회/장애인복지

Common Values

ValueCountFrequency (%)
사회복지/재가노인복지시설 70
40.9%
사회/장애인복지 52
30.4%
사회/노인의료복지 45
26.3%
노인여가프로그램운영 2
 
1.2%
사회/노인주거복지 2
 
1.2%

Length

2023-12-12T09:37:02.757470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:37:02.875621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지/재가노인복지시설 70
40.9%
사회/장애인복지 52
30.4%
사회/노인의료복지 45
26.3%
노인여가프로그램운영 2
 
1.2%
사회/노인주거복지 2
 
1.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-02-01
171 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-01
2nd row2023-02-01
3rd row2023-02-01
4th row2023-02-01
5th row2023-02-01

Common Values

ValueCountFrequency (%)
2023-02-01 171
100.0%

Length

2023-12-12T09:37:02.985388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:37:03.069892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-01 171
100.0%

Missing values

2023-12-12T09:37:00.264199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:37:00.387756image/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

시설명전화번호소재지상담내용데이터기준일자
0한마음의집042-585-0781대전광역시 서구 삼보실길 123 (장안동)사회/장애인복지2023-02-01
1한몸042-583-4472대전광역시 서구 복수남로 30 (복수동)사회/장애인복지2023-02-01
2연광자립원042-581-0083대전광역시 서구 동서대로998번길 13-5 (내동)사회/장애인복지2023-02-01
3행복누림042-586-4665대전광역시 서구 월평북로 11 (월평동)사회/장애인복지2023-02-01
4한줄기042-385-0788대전광역시 서구 영골길 159-1(오동)사회/장애인복지2023-02-01
5한걸음042-585-0780대전광역시 서구 복수남로 12번길 28, 1층(복수동)사회/장애인복지2023-02-01
6한뜻마을042-585-3342대전광역시 서구 만년로68번길 15-26(만년동)사회/장애인복지2023-02-01
7동심원042-581-2254대전광역시 서구 도산로 158, 3층(변동)사회/장애인복지2023-02-01
8행복마을042-586-4661대전광역시 서구 배재로 98 (도마동)사회/장애인복지2023-02-01
9꿈이있는042-586-2195대전광역시 서구 도솔로 193(도마동)사회/장애인복지2023-02-01
시설명전화번호소재지상담내용데이터기준일자
161사랑가득한집042-586-6986대전광역시 서구 장전길 103 (오동)사회/노인의료복지2023-02-01
162예사랑노인복지센터042-527-9911대전광역시 서구 도솔4길 39 (도마동)사회/노인의료복지2023-02-01
163장태산요양원042-585-1033대전광역시 서구 안터길 7-32(산직동)사회/노인의료복지2023-02-01
164섬김과나눔의집042-528-1009대전광역시 서구 배재로 46번길 30(도마동)사회/노인의료복지2023-02-01
165그린하임042-584-7080대전광역시 서구 장안로 720(장안동)사회/노인의료복지2023-02-01
166주사랑의집042-486-8337대전광역시 서구 청사로 120(월평동)사회/노인의료복지2023-02-01
167효누리요양원042-522-1871대전광역시 서구 변동중로 45번길 42(변동)사회/노인의료복지2023-02-01
168한울타리042-581-6645대전광역시 서구 조련길 80 (흑석동)사회/노인의료복지2023-02-01
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