Overview

Dataset statistics

Number of variables5
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory43.5 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description대전광역시 관내 노인복지와 관련한 사단 및 사회복지법인 현황에 관한 자료로 법인구분, 법인명칭, 소재지, 연락처 등을 제공합니다
Author대전광역시
URLhttps://www.data.go.kr/data/15082055/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
법인명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:24:09.781004
Analysis finished2023-12-12 04:24:10.477048
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  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
2023-12-12T13:24:10.568465image/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
2023-12-12T13:24:10.735167image/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%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
사단법인
26 
사회복지법인
25 
재단법인
 
1

Length

Max length6
Median length4
Mean length4.9615385
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
사단법인 26
50.0%
사회복지법인 25
48.1%
재단법인 1
 
1.9%

Length

2023-12-12T13:24:10.914295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:24:11.045505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사단법인 26
50.0%
사회복지법인 25
48.1%
재단법인 1
 
1.9%

법인명칭
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T13:24:11.308707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.2115385
Min length2

Characters and Unicode

Total characters375
Distinct characters139
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row신영복지재단
2nd row효마을
3rd row금성복지재단
4th row선우복지재단
5th row한여울 복지재단
ValueCountFrequency (%)
신영복지재단 1
 
1.8%
한국효행수상자효도회 1
 
1.8%
동덕복지회 1
 
1.8%
무량자비여시인연 1
 
1.8%
맑은눈 1
 
1.8%
나눔의집 1
 
1.8%
노인의 1
 
1.8%
전화 1
 
1.8%
한국노인사랑운동본부 1
 
1.8%
노인복지대전시민연합 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T13:24:11.794060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
7.5%
27
 
7.2%
21
 
5.6%
20
 
5.3%
16
 
4.3%
14
 
3.7%
10
 
2.7%
8
 
2.1%
7
 
1.9%
7
 
1.9%
Other values (129) 217
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
93.9%
Lowercase Letter 11
 
2.9%
Space Separator 8
 
2.1%
Decimal Number 2
 
0.5%
Dash Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
8.0%
27
 
7.7%
21
 
6.0%
20
 
5.7%
16
 
4.5%
14
 
4.0%
10
 
2.8%
7
 
2.0%
7
 
2.0%
5
 
1.4%
Other values (114) 197
56.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
18.2%
n 1
9.1%
v 1
9.1%
o 1
9.1%
s 1
9.1%
a 1
9.1%
w 1
9.1%
e 1
9.1%
t 1
9.1%
r 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
93.9%
Latin 12
 
3.2%
Common 11
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
8.0%
27
 
7.7%
21
 
6.0%
20
 
5.7%
16
 
4.5%
14
 
4.0%
10
 
2.8%
7
 
2.0%
7
 
2.0%
5
 
1.4%
Other values (114) 197
56.0%
Latin
ValueCountFrequency (%)
i 2
16.7%
n 1
8.3%
v 1
8.3%
o 1
8.3%
s 1
8.3%
a 1
8.3%
w 1
8.3%
K 1
8.3%
e 1
8.3%
t 1
8.3%
Common
ValueCountFrequency (%)
8
72.7%
2 1
 
9.1%
1 1
 
9.1%
- 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
93.1%
ASCII 23
 
6.1%
Compat Jamo 3
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
 
8.0%
27
 
7.7%
21
 
6.0%
20
 
5.7%
16
 
4.6%
14
 
4.0%
10
 
2.9%
7
 
2.0%
7
 
2.0%
5
 
1.4%
Other values (113) 194
55.6%
ASCII
ValueCountFrequency (%)
8
34.8%
i 2
 
8.7%
2 1
 
4.3%
n 1
 
4.3%
v 1
 
4.3%
1 1
 
4.3%
o 1
 
4.3%
s 1
 
4.3%
a 1
 
4.3%
w 1
 
4.3%
Other values (5) 5
21.7%
Compat Jamo
ValueCountFrequency (%)
3
100.0%

소재지
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T13:24:12.138314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length17.942308
Min length10

Characters and Unicode

Total characters933
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

Unique52 ?
Unique (%)100.0%

Sample

1st row 중구 선화서로 41, 3층 (선화동)
2nd row 동구 이사로 68-21(이사동)
3rd row 동구 산내로560번길 18-13(상소동)
4th row 동구 신기로 109-21 (판암동)
5th row대전 중구 평촌로108 201호(유천동 미소빌딩)
ValueCountFrequency (%)
중구 15
 
9.1%
동구 11
 
6.7%
대덕구 11
 
6.7%
서구 10
 
6.1%
유성구 5
 
3.0%
신탄진로 2
 
1.2%
대종로 2
 
1.2%
계백로 2
 
1.2%
2층 1
 
0.6%
동대전로 1
 
0.6%
Other values (105) 105
63.6%
2023-12-12T13:24:12.632851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
 
17.5%
53
 
5.7%
48
 
5.1%
1 46
 
4.9%
45
 
4.8%
( 33
 
3.5%
) 33
 
3.5%
28
 
3.0%
2 27
 
2.9%
23
 
2.5%
Other values (115) 434
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
50.5%
Decimal Number 213
22.8%
Space Separator 163
 
17.5%
Open Punctuation 33
 
3.5%
Close Punctuation 33
 
3.5%
Dash Punctuation 12
 
1.3%
Other Punctuation 7
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
 
11.3%
48
 
10.2%
45
 
9.6%
28
 
5.9%
23
 
4.9%
19
 
4.0%
18
 
3.8%
15
 
3.2%
13
 
2.8%
9
 
1.9%
Other values (97) 200
42.5%
Decimal Number
ValueCountFrequency (%)
1 46
21.6%
2 27
12.7%
7 22
10.3%
0 21
9.9%
6 19
8.9%
5 18
 
8.5%
8 17
 
8.0%
3 17
 
8.0%
9 14
 
6.6%
4 12
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
@ 1
 
14.3%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
50.5%
Common 461
49.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
 
11.3%
48
 
10.2%
45
 
9.6%
28
 
5.9%
23
 
4.9%
19
 
4.0%
18
 
3.8%
15
 
3.2%
13
 
2.8%
9
 
1.9%
Other values (97) 200
42.5%
Common
ValueCountFrequency (%)
163
35.4%
1 46
 
10.0%
( 33
 
7.2%
) 33
 
7.2%
2 27
 
5.9%
7 22
 
4.8%
0 21
 
4.6%
6 19
 
4.1%
5 18
 
3.9%
8 17
 
3.7%
Other values (7) 62
 
13.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
50.5%
ASCII 462
49.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
163
35.3%
1 46
 
10.0%
( 33
 
7.1%
) 33
 
7.1%
2 27
 
5.8%
7 22
 
4.8%
0 21
 
4.5%
6 19
 
4.1%
5 18
 
3.9%
8 17
 
3.7%
Other values (8) 63
 
13.6%
Hangul
ValueCountFrequency (%)
53
 
11.3%
48
 
10.2%
45
 
9.6%
28
 
5.9%
23
 
4.9%
19
 
4.0%
18
 
3.8%
15
 
3.2%
13
 
2.8%
9
 
1.9%
Other values (97) 200
42.5%
Distinct49
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T13:24:12.926536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.538462
Min length6

Characters and Unicode

Total characters600
Distinct characters17
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

Unique48 ?
Unique (%)92.3%

Sample

1st row042-255-4112
2nd row042-282-0717
3rd row042-274-4700
4th row042-284-5288
5th row042-257-9321
ValueCountFrequency (%)
연락처 4
 
7.1%
없음 4
 
7.1%
042-286-0026 1
 
1.8%
042-628-8296 1
 
1.8%
042-528-7582 1
 
1.8%
042-488-5677 1
 
1.8%
042-638-4000 1
 
1.8%
042-630-2002 1
 
1.8%
042-274-0773 1
 
1.8%
042-221-4234 1
 
1.8%
Other values (40) 40
71.4%
2023-12-12T13:24:13.421663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 107
17.8%
- 96
16.0%
4 84
14.0%
0 72
12.0%
8 37
 
6.2%
5 36
 
6.0%
1 35
 
5.8%
3 35
 
5.8%
7 34
 
5.7%
6 32
 
5.3%
Other values (7) 32
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Dash Punctuation 96
 
16.0%
Other Letter 20
 
3.3%
Space Separator 4
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 107
22.3%
4 84
17.5%
0 72
15.0%
8 37
 
7.7%
5 36
 
7.5%
1 35
 
7.3%
3 35
 
7.3%
7 34
 
7.1%
6 32
 
6.7%
9 8
 
1.7%
Other Letter
ValueCountFrequency (%)
4
20.0%
4
20.0%
4
20.0%
4
20.0%
4
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 580
96.7%
Hangul 20
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 107
18.4%
- 96
16.6%
4 84
14.5%
0 72
12.4%
8 37
 
6.4%
5 36
 
6.2%
1 35
 
6.0%
3 35
 
6.0%
7 34
 
5.9%
6 32
 
5.5%
Other values (2) 12
 
2.1%
Hangul
ValueCountFrequency (%)
4
20.0%
4
20.0%
4
20.0%
4
20.0%
4
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
96.7%
Hangul 20
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 107
18.4%
- 96
16.6%
4 84
14.5%
0 72
12.4%
8 37
 
6.4%
5 36
 
6.2%
1 35
 
6.0%
3 35
 
6.0%
7 34
 
5.9%
6 32
 
5.5%
Other values (2) 12
 
2.1%
Hangul
ValueCountFrequency (%)
4
20.0%
4
20.0%
4
20.0%
4
20.0%
4
20.0%

Interactions

2023-12-12T13:24:10.195675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:24:13.556726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분법인명칭소재지연락처
연번1.0000.8091.0001.0000.896
구분0.8091.0001.0001.0000.932
법인명칭1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
연락처0.8960.9321.0001.0001.000
2023-12-12T13:24:13.678463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.651
구분0.6511.000

Missing values

2023-12-12T13:24:10.330235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:24:10.437449image/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

연번구분법인명칭소재지연락처
01사회복지법인신영복지재단중구 선화서로 41, 3층 (선화동)042-255-4112
12사회복지법인효마을동구 이사로 68-21(이사동)042-282-0717
23사회복지법인금성복지재단동구 산내로560번길 18-13(상소동)042-274-4700
34사회복지법인선우복지재단동구 신기로 109-21 (판암동)042-284-5288
45사회복지법인한여울 복지재단대전 중구 평촌로108 201호(유천동 미소빌딩)042-257-9321
56사회복지법인한사랑복지재단중구 대종로 203(석교동)042-271-7171
67사회복지법인선한이웃재단중구 당골길 207-17(금동)042-286-8468
78사회복지법인해빛복지재단중구 보문로 90-7(부사동)042-254-8865
89사회복지법인행복플러스복지재단중구 문화로66-1(산성동)042-255-3232
910사회복지법인은혜복지재단중구 단재로 471 (어남동)042-285-2113
연번구분법인명칭소재지연락처
4243사단법인꿈이있는공동체서구 둔산중로 66042-471-0191
4344사단법인대전불교사회복지회서구 변동서로27번길 20-3042-488-7209
4445사단법인좋은벗들의 모임서구 배재로 91번길 22-11042-523-1144
4546사단법인한국재능기부진흥원서구 둔산중로54(센티온빌딩)042-486-3781
4647사단법인사ㆍ나ㆍ섬ㆍ세유성구 노은서로 142번길72 동아힐 307호연락처 없음
4748사단법인아노복지재단동구 현암로62번길 29(삼성동)042-673-8012
4849사단법인송헌복지회대덕구 한밭대로 987(오정동)042-638-1188
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