Overview

Dataset statistics

Number of variables7
Number of observations52
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory59.5 B

Variable types

Numeric1
Text4
DateTime1
Categorical1

Dataset

Description광주광역시에 있는 장애인 단체에 관한 정보로 장애인단체의 이름, 대표자명, 소재지도로명주소, 연락처 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15012416/fileData.do

Alerts

비고 has constant value ""Constant
전화번호 has 1 (1.9%) missing valuesMissing
연번 has unique valuesUnique
법인명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:10:11.128058
Analysis finished2023-12-12 06:10:11.911866
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T15:10:12.260902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-12T15:10:12.400243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

법인명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:10:12.602239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length13.923077
Min length6

Characters and Unicode

Total characters724
Distinct characters129
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

Unique52 ?
Unique (%)100.0%

Sample

1st row(사)광주장애인총연합회
2nd row(사)광주광역시지체장애인협회
3rd row(사)빛날장애인협회
4th row(사)한국장애인부모회광주광역시지회
5th row(사)광주광역시장애인재활협회
ValueCountFrequency (%)
사)광주장애인총연합회 1
 
1.7%
사)광주광역시지체장애인협회 1
 
1.7%
광주장애인자립생활센터 1
 
1.7%
신가치창조(nvc 1
 
1.7%
무등장애인자립생활센터 1
 
1.7%
사)광주장애인가족복지회 1
 
1.7%
광주인연맺기 1
 
1.7%
오방장애인자립생활센터 1
 
1.7%
상무장애인복지회 1
 
1.7%
상무자립생활센터 1
 
1.7%
Other values (50) 50
83.3%
2023-12-12T15:10:12.921306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
7.2%
45
 
6.2%
43
 
5.9%
42
 
5.8%
36
 
5.0%
36
 
5.0%
32
 
4.4%
( 30
 
4.1%
) 30
 
4.1%
23
 
3.2%
Other values (119) 355
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
90.2%
Open Punctuation 30
 
4.1%
Close Punctuation 30
 
4.1%
Space Separator 8
 
1.1%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
 
8.0%
45
 
6.9%
43
 
6.6%
42
 
6.4%
36
 
5.5%
36
 
5.5%
32
 
4.9%
23
 
3.5%
23
 
3.5%
21
 
3.2%
Other values (113) 300
45.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
V 1
33.3%
N 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
90.2%
Common 68
 
9.4%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
 
8.0%
45
 
6.9%
43
 
6.6%
42
 
6.4%
36
 
5.5%
36
 
5.5%
32
 
4.9%
23
 
3.5%
23
 
3.5%
21
 
3.2%
Other values (113) 300
45.9%
Common
ValueCountFrequency (%)
( 30
44.1%
) 30
44.1%
8
 
11.8%
Latin
ValueCountFrequency (%)
C 1
33.3%
V 1
33.3%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
90.2%
ASCII 71
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
52
 
8.0%
45
 
6.9%
43
 
6.6%
42
 
6.4%
36
 
5.5%
36
 
5.5%
32
 
4.9%
23
 
3.5%
23
 
3.5%
21
 
3.2%
Other values (113) 300
45.9%
ASCII
ValueCountFrequency (%)
( 30
42.3%
) 30
42.3%
8
 
11.3%
C 1
 
1.4%
V 1
 
1.4%
N 1
 
1.4%
Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:10:13.254215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length29
Mean length25.403846
Min length19

Characters and Unicode

Total characters1321
Distinct characters125
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

Unique50 ?
Unique (%)96.2%

Sample

1st row광주광역시 북구 연양로 121(양산동) 2층
2nd row광주광역시 서구 하남대로 680번길 1(동천동)
3rd row광주광역시 서구 상무대로 924(쌍촌동)
4th row광주광역시 서구 월드컵4강로 86, 4층(화정동)
5th row광주광역시 동구 천변우로 339 제일오피스텔 201호
ValueCountFrequency (%)
광주광역시 52
22.0%
서구 17
 
7.2%
북구 13
 
5.5%
남구 10
 
4.2%
광산구 7
 
3.0%
동구 5
 
2.1%
천변우로 3
 
1.3%
군분로 2
 
0.8%
제일오피스텔 2
 
0.8%
339 2
 
0.8%
Other values (119) 123
52.1%
2023-12-12T15:10:13.773960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
14.0%
111
 
8.4%
60
 
4.5%
54
 
4.1%
53
 
4.0%
52
 
3.9%
52
 
3.9%
( 51
 
3.9%
) 51
 
3.9%
47
 
3.6%
Other values (115) 605
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 799
60.5%
Decimal Number 211
 
16.0%
Space Separator 185
 
14.0%
Open Punctuation 51
 
3.9%
Close Punctuation 51
 
3.9%
Dash Punctuation 13
 
1.0%
Other Punctuation 10
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
111
 
13.9%
60
 
7.5%
54
 
6.8%
53
 
6.6%
52
 
6.5%
52
 
6.5%
47
 
5.9%
29
 
3.6%
23
 
2.9%
19
 
2.4%
Other values (99) 299
37.4%
Decimal Number
ValueCountFrequency (%)
1 38
18.0%
3 33
15.6%
2 31
14.7%
4 23
10.9%
5 21
10.0%
8 16
7.6%
6 14
 
6.6%
0 12
 
5.7%
9 12
 
5.7%
7 11
 
5.2%
Space Separator
ValueCountFrequency (%)
185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 799
60.5%
Common 521
39.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
111
 
13.9%
60
 
7.5%
54
 
6.8%
53
 
6.6%
52
 
6.5%
52
 
6.5%
47
 
5.9%
29
 
3.6%
23
 
2.9%
19
 
2.4%
Other values (99) 299
37.4%
Common
ValueCountFrequency (%)
185
35.5%
( 51
 
9.8%
) 51
 
9.8%
1 38
 
7.3%
3 33
 
6.3%
2 31
 
6.0%
4 23
 
4.4%
5 21
 
4.0%
8 16
 
3.1%
6 14
 
2.7%
Other values (5) 58
 
11.1%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 799
60.5%
ASCII 522
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
35.4%
( 51
 
9.8%
) 51
 
9.8%
1 38
 
7.3%
3 33
 
6.3%
2 31
 
5.9%
4 23
 
4.4%
5 21
 
4.0%
8 16
 
3.1%
6 14
 
2.7%
Other values (6) 59
 
11.3%
Hangul
ValueCountFrequency (%)
111
 
13.9%
60
 
7.5%
54
 
6.8%
53
 
6.6%
52
 
6.5%
52
 
6.5%
47
 
5.9%
29
 
3.6%
23
 
2.9%
19
 
2.4%
Other values (99) 299
37.4%

전화번호
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing1
Missing (%)1.9%
Memory size548.0 B
2023-12-12T15:10:14.180105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.098039
Min length12

Characters and Unicode

Total characters617
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

Unique49 ?
Unique (%)96.1%

Sample

1st row062-513-1080
2nd row062-529-3329
3rd row062-682-5250
4th row062-376-9664
5th row062-368-6676
ValueCountFrequency (%)
062-385-3364 2
 
3.9%
062-383-2666 1
 
2.0%
062-225-4530 1
 
2.0%
062-431-2758 1
 
2.0%
062-433-9209 1
 
2.0%
062-385-0422 1
 
2.0%
062-363-2592 1
 
2.0%
062-433-7782 1
 
2.0%
062-385-9040 1
 
2.0%
062-956-8352 1
 
2.0%
Other values (40) 40
78.4%
2023-12-12T15:10:14.599231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 103
16.7%
2 98
15.9%
6 97
15.7%
0 79
12.8%
3 52
8.4%
5 48
7.8%
4 34
 
5.5%
1 31
 
5.0%
8 27
 
4.4%
7 26
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 514
83.3%
Dash Punctuation 103
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 98
19.1%
6 97
18.9%
0 79
15.4%
3 52
10.1%
5 48
9.3%
4 34
 
6.6%
1 31
 
6.0%
8 27
 
5.3%
7 26
 
5.1%
9 22
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 617
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 103
16.7%
2 98
15.9%
6 97
15.7%
0 79
12.8%
3 52
8.4%
5 48
7.8%
4 34
 
5.5%
1 31
 
5.0%
8 27
 
4.4%
7 26
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 617
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 103
16.7%
2 98
15.9%
6 97
15.7%
0 79
12.8%
3 52
8.4%
5 48
7.8%
4 34
 
5.5%
1 31
 
5.0%
8 27
 
4.4%
7 26
 
4.2%
Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:10:14.851613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9423077
Min length2

Characters and Unicode

Total characters153
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)92.3%

Sample

1st row진건
2nd row박종필
3rd row이재경
4th row이미송
5th row나종만
ValueCountFrequency (%)
김용목 2
 
3.8%
최영애 2
 
3.8%
이광수 1
 
1.9%
최병렬 1
 
1.9%
진건 1
 
1.9%
김선진 1
 
1.9%
윤복자 1
 
1.9%
강근규 1
 
1.9%
조규식 1
 
1.9%
백원종 1
 
1.9%
Other values (40) 40
76.9%
2023-12-12T15:10:15.183857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
10.5%
8
 
5.2%
7
 
4.6%
5
 
3.3%
5
 
3.3%
5
 
3.3%
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
Other values (64) 90
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
10.5%
8
 
5.2%
7
 
4.6%
5
 
3.3%
5
 
3.3%
5
 
3.3%
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
Other values (64) 90
58.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
10.5%
8
 
5.2%
7
 
4.6%
5
 
3.3%
5
 
3.3%
5
 
3.3%
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
Other values (64) 90
58.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
16
 
10.5%
8
 
5.2%
7
 
4.6%
5
 
3.3%
5
 
3.3%
5
 
3.3%
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
Other values (64) 90
58.8%
Distinct47
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2000-04-27 00:00:00
Maximum2020-09-02 00:00:00
2023-12-12T15:10:15.310648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:15.424004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
비영리 민간단체
52 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비영리 민간단체
2nd row비영리 민간단체
3rd row비영리 민간단체
4th row비영리 민간단체
5th row비영리 민간단체

Common Values

ValueCountFrequency (%)
비영리 민간단체 52
100.0%

Length

2023-12-12T15:10:15.536103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:10:15.617964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비영리 52
50.0%
민간단체 52
50.0%

Interactions

2023-12-12T15:10:11.625484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:10:15.680265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법인명소재지전화번호대표자단체등록일
연번1.0001.0001.0000.9450.8620.969
법인명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0000.9980.9900.993
전화번호0.9451.0000.9981.0000.9890.993
대표자0.8621.0000.9900.9891.0000.963
단체등록일0.9691.0000.9930.9930.9631.000

Missing values

2023-12-12T15:10:11.754757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:10:11.870065image/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

연번법인명소재지전화번호대표자단체등록일비고
01(사)광주장애인총연합회광주광역시 북구 연양로 121(양산동) 2층062-513-1080진건2000-04-27비영리 민간단체
12(사)광주광역시지체장애인협회광주광역시 서구 하남대로 680번길 1(동천동)062-529-3329박종필2000-05-02비영리 민간단체
23(사)빛날장애인협회광주광역시 서구 상무대로 924(쌍촌동)062-682-5250이재경2000-05-02비영리 민간단체
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