Overview

Dataset statistics

Number of variables4
Number of observations103
Missing cells3
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory33.3 B

Variable types

Text3
Categorical1

Dataset

Description사회복지법인의 명칭, 소재지, 전화번호, 분야 등
Author대전광역시
URLhttps://www.data.go.kr/data/15077412/fileData.do

Alerts

전화번호 has 3 (2.9%) missing valuesMissing
법인명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:12:07.499035
Analysis finished2023-12-12 19:12:08.176867
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법인명칭
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T04:12:08.348345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.9514563
Min length2

Characters and Unicode

Total characters613
Distinct characters155
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

Unique103 ?
Unique (%)100.0%

Sample

1st row사회복지협의회
2nd row미성복지재단
3rd row효 마 을
4th row금성복지재단
5th row선우복지재단
ValueCountFrequency (%)
사회복지법인 8
 
7.0%
사회복지협의회 1
 
0.9%
명희복지재단 1
 
0.9%
반석아이꿈어린이집 1
 
0.9%
대동원 1
 
0.9%
호동어린이집 1
 
0.9%
정숙회 1
 
0.9%
백경 1
 
0.9%
새대전복지재단 1
 
0.9%
선문원 1
 
0.9%
Other values (98) 98
85.2%
2023-12-13T04:12:08.832891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 50
 
8.2%
지 47
 
7.7%
단 43
 
7.0%
재 43
 
7.0%
원 24
 
3.9%
이 21
 
3.4%
사 18
 
2.9%
집 18
 
2.9%
회 18
 
2.9%
린 17
 
2.8%
Other values (145) 314
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 587
95.8%
Space Separator 12
 
2.0%
Lowercase Letter 6
 
1.0%
Uppercase Letter 4
 
0.7%
Decimal Number 2
 
0.3%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 50
 
8.5%
지 47
 
8.0%
단 43
 
7.3%
재 43
 
7.3%
원 24
 
4.1%
이 21
 
3.6%
사 18
 
3.1%
집 18
 
3.1%
회 18
 
3.1%
린 17
 
2.9%
Other values (131) 288
49.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
16.7%
w 1
16.7%
a 1
16.7%
t 1
16.7%
e 1
16.7%
r 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
S 1
25.0%
M 1
25.0%
J 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 587
95.8%
Common 16
 
2.6%
Latin 10
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 50
 
8.5%
지 47
 
8.0%
단 43
 
7.3%
재 43
 
7.3%
원 24
 
4.1%
이 21
 
3.6%
사 18
 
3.1%
집 18
 
3.1%
회 18
 
3.1%
린 17
 
2.9%
Other values (131) 288
49.1%
Latin
ValueCountFrequency (%)
k 1
10.0%
W 1
10.0%
S 1
10.0%
w 1
10.0%
a 1
10.0%
t 1
10.0%
e 1
10.0%
r 1
10.0%
M 1
10.0%
J 1
10.0%
Common
ValueCountFrequency (%)
12
75.0%
3 2
 
12.5%
- 1
 
6.2%
& 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 587
95.8%
ASCII 26
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 50
 
8.5%
지 47
 
8.0%
단 43
 
7.3%
재 43
 
7.3%
원 24
 
4.1%
이 21
 
3.6%
사 18
 
3.1%
집 18
 
3.1%
회 18
 
3.1%
린 17
 
2.9%
Other values (131) 288
49.1%
ASCII
ValueCountFrequency (%)
12
46.2%
3 2
 
7.7%
k 1
 
3.8%
- 1
 
3.8%
W 1
 
3.8%
S 1
 
3.8%
w 1
 
3.8%
a 1
 
3.8%
t 1
 
3.8%
e 1
 
3.8%
Other values (4) 4
 
15.4%

소재지
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T04:12:09.215307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length19.038835
Min length12

Characters and Unicode

Total characters1961
Distinct characters155
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

Unique103 ?
Unique (%)100.0%

Sample

1st row중구 보문로 246, 805호(대흥동, 대림빌딩)
2nd row중구 선화로 41, 3층(선화동)
3rd row동구 이사로 68-21(이사동)
4th row산내로560번길 18-13(상소동)
5th row동구 신기로 109-22(판암동)
ValueCountFrequency (%)
중구 24
 
6.4%
유성구 22
 
5.9%
서구 20
 
5.3%
대덕구 18
 
4.8%
동구 18
 
4.8%
계백로 4
 
1.1%
신탄진로 4
 
1.1%
대전로 4
 
1.1%
보문로 4
 
1.1%
대종로 3
 
0.8%
Other values (239) 253
67.6%
2023-12-13T04:12:09.756711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
13.9%
동 125
 
6.4%
구 104
 
5.3%
) 100
 
5.1%
( 100
 
5.1%
로 88
 
4.5%
1 86
 
4.4%
길 65
 
3.3%
2 55
 
2.8%
대 52
 
2.7%
Other values (145) 913
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
52.3%
Decimal Number 426
21.7%
Space Separator 273
 
13.9%
Close Punctuation 100
 
5.1%
Open Punctuation 100
 
5.1%
Dash Punctuation 22
 
1.1%
Other Punctuation 13
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 125
 
12.2%
구 104
 
10.1%
로 88
 
8.6%
길 65
 
6.3%
대 52
 
5.1%
번 50
 
4.9%
성 36
 
3.5%
중 29
 
2.8%
유 28
 
2.7%
서 25
 
2.4%
Other values (128) 424
41.3%
Decimal Number
ValueCountFrequency (%)
1 86
20.2%
2 55
12.9%
5 50
11.7%
3 49
11.5%
4 37
8.7%
7 35
8.2%
8 33
 
7.7%
6 32
 
7.5%
0 26
 
6.1%
9 23
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
@ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
52.3%
Common 934
47.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 125
 
12.2%
구 104
 
10.1%
로 88
 
8.6%
길 65
 
6.3%
대 52
 
5.1%
번 50
 
4.9%
성 36
 
3.5%
중 29
 
2.8%
유 28
 
2.7%
서 25
 
2.4%
Other values (128) 424
41.3%
Common
ValueCountFrequency (%)
273
29.2%
) 100
 
10.7%
( 100
 
10.7%
1 86
 
9.2%
2 55
 
5.9%
5 50
 
5.4%
3 49
 
5.2%
4 37
 
4.0%
7 35
 
3.7%
8 33
 
3.5%
Other values (6) 116
12.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
52.3%
ASCII 935
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
29.2%
) 100
 
10.7%
( 100
 
10.7%
1 86
 
9.2%
2 55
 
5.9%
5 50
 
5.3%
3 49
 
5.2%
4 37
 
4.0%
7 35
 
3.7%
8 33
 
3.5%
Other values (7) 117
12.5%
Hangul
ValueCountFrequency (%)
동 125
 
12.2%
구 104
 
10.1%
로 88
 
8.6%
길 65
 
6.3%
대 52
 
5.1%
번 50
 
4.9%
성 36
 
3.5%
중 29
 
2.8%
유 28
 
2.7%
서 25
 
2.4%
Other values (128) 424
41.3%

전화번호
Text

MISSING 

Distinct100
Distinct (%)100.0%
Missing3
Missing (%)2.9%
Memory size956.0 B
2023-12-13T04:12:10.052302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.01
Min length8

Characters and Unicode

Total characters801
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

Unique100 ?
Unique (%)100.0%

Sample

1st row531-3711
2nd row255-4112
3rd row282-0717
4th row274-4700
5th row283-6304
ValueCountFrequency (%)
585-3386 1
 
1.0%
584-2662 1
 
1.0%
586-5185 1
 
1.0%
483-4531 1
 
1.0%
583-5273 1
 
1.0%
272-5600 1
 
1.0%
583-4747 1
 
1.0%
286-3311 1
 
1.0%
282-5717 1
 
1.0%
627-6745 1
 
1.0%
Other values (90) 90
90.0%
2023-12-13T04:12:10.571059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 126
15.7%
- 100
12.5%
5 86
10.7%
8 80
10.0%
3 76
9.5%
6 68
8.5%
4 65
8.1%
1 61
7.6%
7 58
7.2%
0 55
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 701
87.5%
Dash Punctuation 100
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 126
18.0%
5 86
12.3%
8 80
11.4%
3 76
10.8%
6 68
9.7%
4 65
9.3%
1 61
8.7%
7 58
8.3%
0 55
7.8%
9 26
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 801
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 126
15.7%
- 100
12.5%
5 86
10.7%
8 80
10.0%
3 76
9.5%
6 68
8.5%
4 65
8.1%
1 61
7.6%
7 58
7.2%
0 55
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 126
15.7%
- 100
12.5%
5 86
10.7%
8 80
10.0%
3 76
9.5%
6 68
8.5%
4 65
8.1%
1 61
7.6%
7 58
7.2%
0 55
6.9%

분야
Categorical

Distinct7
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
보육
33 
노인
25 
장애인
22 
아동
10 
정신
8 
Other values (2)
5 

Length

Max length3
Median length2
Mean length2.2135922
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row일반
2nd row노인
3rd row노인
4th row노인
5th row노인

Common Values

ValueCountFrequency (%)
보육 33
32.0%
노인 25
24.3%
장애인 22
21.4%
아동 10
 
9.7%
정신 8
 
7.8%
가정 4
 
3.9%
일반 1
 
1.0%

Length

2023-12-13T04:12:10.746614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:12:10.890910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보육 33
32.0%
노인 25
24.3%
장애인 22
21.4%
아동 10
 
9.7%
정신 8
 
7.8%
가정 4
 
3.9%
일반 1
 
1.0%

Correlations

2023-12-13T04:12:10.982282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호분야
전화번호1.0001.000
분야1.0001.000

Missing values

2023-12-13T04:12:08.052593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:12:08.139716image/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

법인명칭소재지전화번호분야
0사회복지협의회중구 보문로 246, 805호(대흥동, 대림빌딩)531-3711일반
1미성복지재단중구 선화로 41, 3층(선화동)255-4112노인
2효 마 을동구 이사로 68-21(이사동)282-0717노인
3금성복지재단산내로560번길 18-13(상소동)274-4700노인
4선우복지재단동구 신기로 109-22(판암동)283-6304노인
5한여울복지재단중구 대종로 550번길 5, 913호224-5655노인
6한사랑복지재단중구 대종로 203(석교동)271-7171노인
7선한이웃재단중구 당골길 207-17(금동)286-8468노인
8해빛복지재단중구 보문로 90-7(부사동)254-8866노인
9행복플러스복지재단중구 보문로 162번길 86(부사동)255-3232노인
법인명칭소재지전화번호분야
93산들어린이집유성구 엑스포로 295번길 43(원촌동)864-3232보육
94문암재단유성구 유성대로 736번길 44(장대동)<NA>보육
95사회복지법인 미동서구 실미길 116 (삼정동)822-1045정신
96사회복지법인 금란복지재단유성구 진잠옛로 222-170 (학하동)824-1601정신
97사회복지법인 구원선 신생원유성구 진잠옛로 135번길 115(학하동)822-9215정신
98사회복지법인 수양원서구 장안로 835 (장안동)585-2778정신
99사회복지법인 성신원동구 옥천로 315 (삼정동)272-8882정신
100사회복지법인 밝은세상중구 대종로 449 (대흥동)224-1500정신
101사회복지법인 다원서구 도산로 131-1 (도마동)536-1239정신
102사회복지법인 행복한사람들서구 도마로 25번길 54(도마동)522-8875정신