Overview

Dataset statistics

Number of variables3
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory660.0 B
Average record size in memory30.0 B

Variable types

Categorical1
Text2

Dataset

Description대한적십자사 기부관리정보(기부금 수입, 기부물품 수입)에 관한 내용입니다. 기부내역, 지원내역, 모금액(단위:천원) 컬럼으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/3036291/fileData.do

Alerts

모금액(단위천원) has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:53:05.308128
Analysis finished2023-12-12 02:53:05.657882
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기부내역
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
지정기부금
11 
지정기부물품
11 

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정기부금 11
50.0%
지정기부물품 11
50.0%

Length

2023-12-12T11:53:05.753369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:53:05.870593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정기부금 11
50.0%
지정기부물품 11
50.0%

지원내역
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T11:53:06.008318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length11.818182
Min length7

Characters and Unicode

Total characters260
Distinct characters61
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

Unique2 ?
Unique (%)9.1%

Sample

1st row국내 재난안전사업 지원
2nd row국내 취약계층 지원
3rd row공공의료(병원) 지원
4th row원폭피해자 및 사할린동포 지원
5th row국제긴급구호 및 재건복구 지원
ValueCountFrequency (%)
지원 22
36.7%
국내 4
 
6.7%
및 4
 
6.7%
적십자 4
 
6.7%
청소년(rcy)사업 2
 
3.3%
인도주의사업 2
 
3.3%
자원봉사자활동 2
 
3.3%
혈액사업 2
 
3.3%
남북교류협력 2
 
3.3%
해외개발협력 2
 
3.3%
Other values (8) 14
23.3%
2023-12-12T11:53:06.289454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
14.6%
원 28
 
10.8%
지 22
 
8.5%
사 12
 
4.6%
자 10
 
3.8%
업 8
 
3.1%
국 6
 
2.3%
해 4
 
1.5%
십 4
 
1.5%
적 4
 
1.5%
Other values (51) 124
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
80.0%
Space Separator 38
 
14.6%
Uppercase Letter 6
 
2.3%
Close Punctuation 4
 
1.5%
Open Punctuation 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 28
 
13.5%
지 22
 
10.6%
사 12
 
5.8%
자 10
 
4.8%
업 8
 
3.8%
국 6
 
2.9%
해 4
 
1.9%
십 4
 
1.9%
적 4
 
1.9%
력 4
 
1.9%
Other values (45) 106
51.0%
Uppercase Letter
ValueCountFrequency (%)
Y 2
33.3%
R 2
33.3%
C 2
33.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
80.0%
Common 46
 
17.7%
Latin 6
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 28
 
13.5%
지 22
 
10.6%
사 12
 
5.8%
자 10
 
4.8%
업 8
 
3.8%
국 6
 
2.9%
해 4
 
1.9%
십 4
 
1.9%
적 4
 
1.9%
력 4
 
1.9%
Other values (45) 106
51.0%
Common
ValueCountFrequency (%)
38
82.6%
) 4
 
8.7%
( 4
 
8.7%
Latin
ValueCountFrequency (%)
Y 2
33.3%
R 2
33.3%
C 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
80.0%
ASCII 52
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
73.1%
) 4
 
7.7%
( 4
 
7.7%
Y 2
 
3.8%
R 2
 
3.8%
C 2
 
3.8%
Hangul
ValueCountFrequency (%)
원 28
 
13.5%
지 22
 
10.6%
사 12
 
5.8%
자 10
 
4.8%
업 8
 
3.8%
국 6
 
2.9%
해 4
 
1.9%
십 4
 
1.9%
적 4
 
1.9%
력 4
 
1.9%
Other values (45) 106
51.0%

모금액(단위천원)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T11:53:06.498182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.5
Min length7

Characters and Unicode

Total characters187
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row 13868540
2nd row 13116315
3rd row 1498418
4th row 138584
5th row 7163364
ValueCountFrequency (%)
2
 
8.3%
13868540 1
 
4.2%
8301922 1
 
4.2%
721302 1
 
4.2%
4042775 1
 
4.2%
0 1
 
4.2%
203475 1
 
4.2%
19615 1
 
4.2%
23134629 1
 
4.2%
63991 1
 
4.2%
Other values (13) 13
54.2%
2023-12-12T11:53:06.946303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
24.6%
1 24
12.8%
3 17
 
9.1%
5 15
 
8.0%
4 14
 
7.5%
9 13
 
7.0%
6 12
 
6.4%
0 12
 
6.4%
2 12
 
6.4%
8 10
 
5.3%
Other values (2) 12
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 139
74.3%
Space Separator 46
 
24.6%
Other Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
17.3%
3 17
12.2%
5 15
10.8%
4 14
10.1%
9 13
9.4%
6 12
8.6%
0 12
8.6%
2 12
8.6%
8 10
7.2%
7 10
7.2%
Space Separator
ValueCountFrequency (%)
46
100.0%
Other Punctuation
ValueCountFrequency (%)
" 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
46
24.6%
1 24
12.8%
3 17
 
9.1%
5 15
 
8.0%
4 14
 
7.5%
9 13
 
7.0%
6 12
 
6.4%
0 12
 
6.4%
2 12
 
6.4%
8 10
 
5.3%
Other values (2) 12
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
24.6%
1 24
12.8%
3 17
 
9.1%
5 15
 
8.0%
4 14
 
7.5%
9 13
 
7.0%
6 12
 
6.4%
0 12
 
6.4%
2 12
 
6.4%
8 10
 
5.3%
Other values (2) 12
 
6.4%

Correlations

2023-12-12T11:53:07.083745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기부내역지원내역모금액(단위천원)
기부내역1.0000.0001.000
지원내역0.0001.0001.000
모금액(단위천원)1.0001.0001.000

Missing values

2023-12-12T11:53:05.479107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:53:05.613710image/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

기부내역지원내역모금액(단위천원)
0지정기부금국내 재난안전사업 지원13868540
1지정기부금국내 취약계층 지원13116315
2지정기부금공공의료(병원) 지원1498418
3지정기부금원폭피해자 및 사할린동포 지원138584
4지정기부금국제긴급구호 및 재건복구 지원7163364
5지정기부금해외개발협력 지원420000
6지정기부금청소년(RCY)사업 지원785459
7지정기부금남북교류협력 지원30554
8지정기부금혈액사업 지원11121831
9지정기부금적십자 자원봉사자활동 지원397159
기부내역지원내역모금액(단위천원)
12지정기부물품국내 취약계층 지원8301922
13지정기부물품공공의료(병원) 지원519738
14지정기부물품원폭피해자 및 사할린동포 지원63991
15지정기부물품국제긴급구호 및 재건복구 지원23134629
16지정기부물품해외개발협력 지원19615
17지정기부물품청소년(RCY)사업 지원203475
18지정기부물품남북교류협력 지원" 0 "
19지정기부물품혈액사업 지원4042775
20지정기부물품적십자 자원봉사자활동 지원721302
21지정기부물품적십자 인도주의사업 지원1916047