Overview

Dataset statistics

Number of variables5
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory43.8 B

Variable types

Categorical1
Numeric1
Text3

Dataset

Description장애인활동지원제공기관2014
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201954

Alerts

순번 is highly overall correlated with 시/군High correlation
시/군 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
제공기관 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:09:04.163965
Analysis finished2024-03-14 01:09:04.631084
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시/군
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
전주시
7 
익산시
5 
김제시
4 
완주군
4 
군산시
3 
Other values (9)
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 7
14.9%
익산시 5
10.6%
김제시 4
8.5%
완주군 4
8.5%
군산시 3
 
6.4%
정읍시 3
 
6.4%
남원시 3
 
6.4%
진안군 3
 
6.4%
무주군 3
 
6.4%
장수군 3
 
6.4%
Other values (4) 9
19.1%

Length

2024-03-14T10:09:04.680128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 7
14.9%
익산시 5
10.6%
김제시 4
8.5%
완주군 4
8.5%
군산시 3
 
6.4%
정읍시 3
 
6.4%
남원시 3
 
6.4%
진안군 3
 
6.4%
무주군 3
 
6.4%
장수군 3
 
6.4%
Other values (4) 9
19.1%

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-03-14T10:09:04.788387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2024-03-14T10:09:04.910723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

제공기관
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-03-14T10:09:05.096863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.7659574
Min length5

Characters and Unicode

Total characters459
Distinct characters106
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row(사)희망드림
2nd row예찬홈케어
3rd rowGIP홈케어
4th row사)전북작은자의장애인자립생활센터
5th row중증장애인지역생활지원센터
ValueCountFrequency (%)
사)희망드림 1
 
2.1%
배산재가장기요양기관 1
 
2.1%
완주군장애인복지관 1
 
2.1%
구이노인복지센터 1
 
2.1%
완주나래복지센터 1
 
2.1%
진안군장애인종합복지관 1
 
2.1%
전북진안지역자활센터 1
 
2.1%
진안정형외과 1
 
2.1%
무주지역자활센터 1
 
2.1%
무주종합복지관 1
 
2.1%
Other values (38) 38
79.2%
2024-03-14T10:09:05.386229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 36
 
7.8%
인 25
 
5.4%
복 23
 
5.0%
장 22
 
4.8%
센 21
 
4.6%
터 21
 
4.6%
애 17
 
3.7%
관 15
 
3.3%
합 13
 
2.8%
자 12
 
2.6%
Other values (96) 254
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 447
97.4%
Close Punctuation 5
 
1.1%
Open Punctuation 3
 
0.7%
Uppercase Letter 3
 
0.7%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 36
 
8.1%
인 25
 
5.6%
복 23
 
5.1%
장 22
 
4.9%
센 21
 
4.7%
터 21
 
4.7%
애 17
 
3.8%
관 15
 
3.4%
합 13
 
2.9%
자 12
 
2.7%
Other values (90) 242
54.1%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
G 1
33.3%
P 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 447
97.4%
Common 9
 
2.0%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 36
 
8.1%
인 25
 
5.6%
복 23
 
5.1%
장 22
 
4.9%
센 21
 
4.7%
터 21
 
4.7%
애 17
 
3.8%
관 15
 
3.4%
합 13
 
2.9%
자 12
 
2.7%
Other values (90) 242
54.1%
Common
ValueCountFrequency (%)
) 5
55.6%
( 3
33.3%
1
 
11.1%
Latin
ValueCountFrequency (%)
I 1
33.3%
G 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 447
97.4%
ASCII 12
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 36
 
8.1%
인 25
 
5.6%
복 23
 
5.1%
장 22
 
4.9%
센 21
 
4.7%
터 21
 
4.7%
애 17
 
3.8%
관 15
 
3.4%
합 13
 
2.9%
자 12
 
2.7%
Other values (90) 242
54.1%
ASCII
ValueCountFrequency (%)
) 5
41.7%
( 3
25.0%
I 1
 
8.3%
G 1
 
8.3%
P 1
 
8.3%
1
 
8.3%

전화번호
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-03-14T10:09:05.566327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.9574468
Min length1

Characters and Unicode

Total characters374
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

Unique45 ?
Unique (%)95.7%

Sample

1st row275-8826
2nd row246-4000
3rd row251-8776
4th row287-5538
5th row247-1509
ValueCountFrequency (%)
324-2710 2
 
4.3%
322-1252 1
 
2.1%
580-4736 1
 
2.1%
351-1119 1
 
2.1%
285-2325 1
 
2.1%
261-7801 1
 
2.1%
222-6087 1
 
2.1%
070-8821-1715 1
 
2.1%
432-8871 1
 
2.1%
432-9005 1
 
2.1%
Other values (36) 36
76.6%
2024-03-14T10:09:05.840931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
12.8%
2 42
11.2%
5 42
11.2%
3 39
10.4%
0 35
9.4%
4 33
8.8%
1 32
8.6%
7 30
8.0%
8 30
8.0%
6 24
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 326
87.2%
Dash Punctuation 48
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 42
12.9%
5 42
12.9%
3 39
12.0%
0 35
10.7%
4 33
10.1%
1 32
9.8%
7 30
9.2%
8 30
9.2%
6 24
7.4%
9 19
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
12.8%
2 42
11.2%
5 42
11.2%
3 39
10.4%
0 35
9.4%
4 33
8.8%
1 32
8.6%
7 30
8.0%
8 30
8.0%
6 24
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
12.8%
2 42
11.2%
5 42
11.2%
3 39
10.4%
0 35
9.4%
4 33
8.8%
1 32
8.6%
7 30
8.0%
8 30
8.0%
6 24
6.4%

주소
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-03-14T10:09:06.135471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length21.085106
Min length15

Characters and Unicode

Total characters991
Distinct characters113
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)95.7%

Sample

1st row전라북도 전주시 덕진구 매봉16길 3 (금암동)
2nd row전라북도 전주시덕진구 백제대로 748-1, 1층
3rd row전라북도 전주시덕진구 백제대로 748-1, 3층
4th row전라북도 전주시완산구 장승배기로 342, 5층
5th row전라북도 전주시덕진구 동가재미2길 43
ValueCountFrequency (%)
전라북도 47
 
21.0%
익산시 5
 
2.2%
완주군 4
 
1.8%
김제시 4
 
1.8%
백제대로 3
 
1.3%
군산시 3
 
1.3%
임실군 3
 
1.3%
정읍시 3
 
1.3%
전주시완산구 3
 
1.3%
진안읍 3
 
1.3%
Other values (120) 146
65.2%
2024-03-14T10:09:06.518606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
 
17.9%
전 54
 
5.4%
북 49
 
4.9%
도 47
 
4.7%
라 47
 
4.7%
1 35
 
3.5%
2 33
 
3.3%
군 26
 
2.6%
시 25
 
2.5%
읍 22
 
2.2%
Other values (103) 476
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
62.3%
Space Separator 177
 
17.9%
Decimal Number 166
 
16.8%
Dash Punctuation 19
 
1.9%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 54
 
8.8%
북 49
 
7.9%
도 47
 
7.6%
라 47
 
7.6%
군 26
 
4.2%
시 25
 
4.1%
읍 22
 
3.6%
동 20
 
3.2%
로 17
 
2.8%
주 17
 
2.8%
Other values (88) 293
47.5%
Decimal Number
ValueCountFrequency (%)
1 35
21.1%
2 33
19.9%
3 20
12.0%
4 17
10.2%
7 16
9.6%
9 11
 
6.6%
6 11
 
6.6%
5 10
 
6.0%
8 8
 
4.8%
0 5
 
3.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
62.3%
Common 374
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 54
 
8.8%
북 49
 
7.9%
도 47
 
7.6%
라 47
 
7.6%
군 26
 
4.2%
시 25
 
4.1%
읍 22
 
3.6%
동 20
 
3.2%
로 17
 
2.8%
주 17
 
2.8%
Other values (88) 293
47.5%
Common
ValueCountFrequency (%)
177
47.3%
1 35
 
9.4%
2 33
 
8.8%
3 20
 
5.3%
- 19
 
5.1%
4 17
 
4.5%
7 16
 
4.3%
9 11
 
2.9%
6 11
 
2.9%
5 10
 
2.7%
Other values (5) 25
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
62.3%
ASCII 374
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
47.3%
1 35
 
9.4%
2 33
 
8.8%
3 20
 
5.3%
- 19
 
5.1%
4 17
 
4.5%
7 16
 
4.3%
9 11
 
2.9%
6 11
 
2.9%
5 10
 
2.7%
Other values (5) 25
 
6.7%
Hangul
ValueCountFrequency (%)
전 54
 
8.8%
북 49
 
7.9%
도 47
 
7.6%
라 47
 
7.6%
군 26
 
4.2%
시 25
 
4.1%
읍 22
 
3.6%
동 20
 
3.2%
로 17
 
2.8%
주 17
 
2.8%
Other values (88) 293
47.5%

Interactions

2024-03-14T10:09:04.413042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:09:06.637067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시/군순번제공기관전화번호주소
시/군1.0000.9351.0001.0001.000
순번0.9351.0001.0000.9240.924
제공기관1.0001.0001.0001.0001.000
전화번호1.0000.9241.0001.0001.000
주소1.0000.9241.0001.0001.000
2024-03-14T10:09:06.739193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시/군
순번1.0000.717
시/군0.7171.000

Missing values

2024-03-14T10:09:04.521996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:09:04.599358image/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

시/군순번제공기관전화번호주소
0전주시1(사)희망드림275-8826전라북도 전주시 덕진구 매봉16길 3 (금암동)
1전주시2예찬홈케어246-4000전라북도 전주시덕진구 백제대로 748-1, 1층
2전주시3GIP홈케어251-8776전라북도 전주시덕진구 백제대로 748-1, 3층
3전주시4사)전북작은자의장애인자립생활센터287-5538전라북도 전주시완산구 장승배기로 342, 5층
4전주시5중증장애인지역생활지원센터247-1509전라북도 전주시덕진구 동가재미2길 43
5전주시6학산종합사회복지관223-9999전라북도 전주시완산구 모악로 4726-1
6전주시7전주장애인종합복지관229-4114전라북도 전주시완산구 백제대로 20-41
7군산시8사)군산시장애인연합회463-1180전라북도 군산시 군산창길 1 (금동)
8군산시9군산장애인종합복지관466-7981전라북도 군산시 산북동 3612
9군산시10보은노인복지센터453-9998전라북도 군산시 임피면 임피2길 73-3
시/군순번제공기관전화번호주소
37장수군38전북장수지역자활센터352-7179전라북도 장수군 장수읍 장수북동길 17
38임실군39임실군장애인연합회643-5855전라북도 임실군 임실읍 호국로 1644
39임실군40임실노인복지센터(인존장학복지재단)643-0263전라북도 임실군 관촌면 사선3길 34
40임실군41신평재가노인복지센터-전라북도 임실군 신평면 석등슬치로 355
41순창군42둥지장애인활동지원센터653-0087전라북도 순창군 순창읍 순창로 225-14
42순창군43순창노인복지센터652-1236전라북도 순창군 순창읍 순창7길 22
43순창군44순창군장애인자활자립회653-0963전라북도 순창군 순창읍 남계리 618
44고창군45고창장애인자립생활지원센터561-2337전라북도 고창군 고창읍 월곡리 620
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