Overview

Dataset statistics

Number of variables17
Number of observations46
Missing cells130
Missing cells (%)16.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory144.9 B

Variable types

Categorical4
Text6
Numeric6
DateTime1

Dataset

Description전라북도 전주시 내 장애인복지시설 현황을 제공하며 시군구, 시설명, 시설구분, 주소, 전화번호 등을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=4&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15075087

Alerts

시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
경도 is highly overall correlated with 입소자(근로장애인)정원 and 2 other fieldsHigh correlation
입소자(근로장애인)정원 is highly overall correlated with 경도 and 5 other fieldsHigh correlation
입소자(근로장애인)현원 is highly overall correlated with 경도 and 5 other fieldsHigh correlation
종사자 정원 is highly overall correlated with 경도 and 5 other fieldsHigh correlation
종사자 현원 is highly overall correlated with 입소자(근로장애인)정원 and 4 other fieldsHigh correlation
시설대구분 is highly overall correlated with 입소자(근로장애인)정원 and 4 other fieldsHigh correlation
시설소구분 is highly overall correlated with 입소자(근로장애인)정원 and 4 other fieldsHigh correlation
법인명 has 1 (2.2%) missing valuesMissing
시설장 has 40 (87.0%) missing valuesMissing
입소자(근로장애인)정원 has 8 (17.4%) missing valuesMissing
입소자(근로장애인)현원 has 27 (58.7%) missing valuesMissing
종사자 정원 has 27 (58.7%) missing valuesMissing
종사자 현원 has 27 (58.7%) missing valuesMissing
시설명 has unique valuesUnique
입소자(근로장애인)현원 has 2 (4.3%) zerosZeros

Reproduction

Analysis started2024-03-14 01:28:05.374711
Analysis finished2024-03-14 01:28:09.437359
Duration4.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
전라북도 전주시
46 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라북도 전주시
2nd row전라북도 전주시
3rd row전라북도 전주시
4th row전라북도 전주시
5th row전라북도 전주시

Common Values

ValueCountFrequency (%)
전라북도 전주시 46
100.0%

Length

2024-03-14T10:28:09.481823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:28:09.550754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 46
50.0%
전주시 46
50.0%

시설명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-14T10:28:09.733468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.2608696
Min length4

Characters and Unicode

Total characters426
Distinct characters130
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

Unique46 ?
Unique (%)100.0%

Sample

1st row동암재활원
2nd row소화진달네집
3rd row평안의집
4th row금선백련마을
5th row한마음단기보호센타
ValueCountFrequency (%)
주간보호센터 3
 
5.7%
전라북도 2
 
3.8%
동암재활원 1
 
1.9%
손수레주간보호센터 1
 
1.9%
전북장애인보호작업장 1
 
1.9%
희망해주간보호센터 1
 
1.9%
해냄주간보호센터 1
 
1.9%
더나눔주간보호센터 1
 
1.9%
전라북도장애인복지관 1
 
1.9%
전주어울림국민체육센터 1
 
1.9%
Other values (40) 40
75.5%
2024-03-14T10:28:10.051918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
5.6%
22
 
5.2%
19
 
4.5%
17
 
4.0%
15
 
3.5%
15
 
3.5%
13
 
3.1%
12
 
2.8%
10
 
2.3%
10
 
2.3%
Other values (120) 269
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
96.2%
Space Separator 7
 
1.6%
Uppercase Letter 4
 
0.9%
Decimal Number 2
 
0.5%
Close Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
5.9%
22
 
5.4%
19
 
4.6%
17
 
4.1%
15
 
3.7%
15
 
3.7%
13
 
3.2%
12
 
2.9%
10
 
2.4%
10
 
2.4%
Other values (110) 253
61.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
H 1
25.0%
I 1
25.0%
W 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
96.2%
Common 12
 
2.8%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
5.9%
22
 
5.4%
19
 
4.6%
17
 
4.1%
15
 
3.7%
15
 
3.7%
13
 
3.2%
12
 
2.9%
10
 
2.4%
10
 
2.4%
Other values (110) 253
61.7%
Common
ValueCountFrequency (%)
7
58.3%
) 1
 
8.3%
& 1
 
8.3%
( 1
 
8.3%
2 1
 
8.3%
1 1
 
8.3%
Latin
ValueCountFrequency (%)
T 1
25.0%
H 1
25.0%
I 1
25.0%
W 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
96.2%
ASCII 16
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
5.9%
22
 
5.4%
19
 
4.6%
17
 
4.1%
15
 
3.7%
15
 
3.7%
13
 
3.2%
12
 
2.9%
10
 
2.4%
10
 
2.4%
Other values (110) 253
61.7%
ASCII
ValueCountFrequency (%)
7
43.8%
) 1
 
6.2%
T 1
 
6.2%
H 1
 
6.2%
& 1
 
6.2%
I 1
 
6.2%
W 1
 
6.2%
( 1
 
6.2%
2 1
 
6.2%
1 1
 
6.2%

시설대구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
장애인 지역사회 재활시설
27 
장애인거주시설
13 
장애인 직업재활시설 및 장애인생산품 판매시설

Length

Max length24
Median length13
Mean length12.73913
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장애인 지역사회 재활시설 27
58.7%
장애인거주시설 13
28.3%
장애인 직업재활시설 및 장애인생산품 판매시설 6
 
13.0%

Length

2024-03-14T10:28:10.184040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:28:10.264533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인 33
26.6%
지역사회 27
21.8%
재활시설 27
21.8%
장애인거주시설 13
 
10.5%
직업재활시설 6
 
4.8%
6
 
4.8%
장애인생산품 6
 
4.8%
판매시설 6
 
4.8%

시설소구분
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
장애인 주간보호시설
13 
장애인공동생활가정
재활치료시설
보호작업장
지적장애인시설
Other values (9)
13 

Length

Max length10
Median length9
Mean length7.9782609
Min length5

Unique

Unique5 ?
Unique (%)10.9%

Sample

1st row지체장애인시설
2nd row지적장애인시설
3rd row지적장애인시설
4th row중증장애인 거주시설
5th row장애인 단기거주시설

Common Values

ValueCountFrequency (%)
장애인 주간보호시설 13
28.3%
장애인공동생활가정 8
17.4%
재활치료시설 5
 
10.9%
보호작업장 5
 
10.9%
지적장애인시설 2
 
4.3%
장애인복지관 2
 
4.3%
장애인 체육시설 2
 
4.3%
수어통역센터 2
 
4.3%
생활이동지원센터 2
 
4.3%
지체장애인시설 1
 
2.2%
Other values (4) 4
 
8.7%

Length

2024-03-14T10:28:10.372331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애인 16
25.4%
주간보호시설 13
20.6%
장애인공동생활가정 8
12.7%
재활치료시설 5
 
7.9%
보호작업장 5
 
7.9%
지적장애인시설 2
 
3.2%
장애인복지관 2
 
3.2%
체육시설 2
 
3.2%
수어통역센터 2
 
3.2%
생활이동지원센터 2
 
3.2%
Other values (6) 6
 
9.5%
Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-14T10:28:10.667876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length34
Mean length25.23913
Min length20

Characters and Unicode

Total characters1161
Distinct characters110
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)76.1%

Sample

1st row전라북도 전주시 완산구 천잠로 275
2nd row전라북도 전주시 완산구 우림로 595-32
3rd row전라북도 전주시 완산구 선너머2길 29-15
4th row전라북도 전주시 완산구 덕적골1길 18-3(평화동1가)
5th row전라북도 전주시 완산구 계룡산길 44-8
ValueCountFrequency (%)
전라북도 46
17.8%
전주시 46
17.8%
완산구 26
 
10.1%
덕진구 21
 
8.1%
천잠로 5
 
1.9%
277 3
 
1.2%
학산길 3
 
1.2%
백제대로 3
 
1.2%
다동 2
 
0.8%
403호 2
 
0.8%
Other values (89) 101
39.1%
2024-03-14T10:28:11.015681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
18.3%
94
 
8.1%
48
 
4.1%
48
 
4.1%
47
 
4.0%
46
 
4.0%
46
 
4.0%
46
 
4.0%
1 42
 
3.6%
35
 
3.0%
Other values (100) 497
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
59.9%
Space Separator 212
 
18.3%
Decimal Number 202
 
17.4%
Dash Punctuation 23
 
2.0%
Other Punctuation 19
 
1.6%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
94
13.5%
48
 
6.9%
48
 
6.9%
47
 
6.8%
46
 
6.6%
46
 
6.6%
46
 
6.6%
35
 
5.0%
28
 
4.0%
26
 
3.7%
Other values (82) 231
33.2%
Decimal Number
ValueCountFrequency (%)
1 42
20.8%
2 32
15.8%
7 22
10.9%
3 20
9.9%
0 20
9.9%
4 18
8.9%
5 17
8.4%
8 13
 
6.4%
6 13
 
6.4%
9 5
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
: 1
 
5.3%
Space Separator
ValueCountFrequency (%)
212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
59.9%
Common 465
40.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
94
13.5%
48
 
6.9%
48
 
6.9%
47
 
6.8%
46
 
6.6%
46
 
6.6%
46
 
6.6%
35
 
5.0%
28
 
4.0%
26
 
3.7%
Other values (82) 231
33.2%
Common
ValueCountFrequency (%)
212
45.6%
1 42
 
9.0%
2 32
 
6.9%
- 23
 
4.9%
7 22
 
4.7%
3 20
 
4.3%
0 20
 
4.3%
4 18
 
3.9%
, 18
 
3.9%
5 17
 
3.7%
Other values (7) 41
 
8.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
59.9%
ASCII 466
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
45.5%
1 42
 
9.0%
2 32
 
6.9%
- 23
 
4.9%
7 22
 
4.7%
3 20
 
4.3%
0 20
 
4.3%
4 18
 
3.9%
, 18
 
3.9%
5 17
 
3.6%
Other values (8) 42
 
9.0%
Hangul
ValueCountFrequency (%)
94
13.5%
48
 
6.9%
48
 
6.9%
47
 
6.8%
46
 
6.6%
46
 
6.6%
46
 
6.6%
35
 
5.0%
28
 
4.0%
26
 
3.7%
Other values (82) 231
33.2%
Distinct39
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-03-14T10:28:11.214290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length24.217391
Min length20

Characters and Unicode

Total characters1114
Distinct characters50
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

Unique33 ?
Unique (%)71.7%

Sample

1st row전라북도 전주시 완산구 효자동3가 1215-5
2nd row전라북도 전주시 완산구 용복동 533-1
3rd row전라북도 전주시 완산구 중화산동2가 153-8
4th row전라북도 전주시 완산구 평화동1가 569-3
5th row전라북도 전주시 완산구 삼천동2가 225-1
ValueCountFrequency (%)
전라북도 46
20.0%
전주시 46
20.0%
완산구 26
 
11.3%
덕진구 20
 
8.7%
효자동3가 5
 
2.2%
평화동1가 4
 
1.7%
인후동1가 4
 
1.7%
서완산동2가 3
 
1.3%
팔복동2가 3
 
1.3%
1215-21 3
 
1.3%
Other values (60) 70
30.4%
2024-03-14T10:28:11.519097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/