Overview

Dataset statistics

Number of variables4
Number of observations138
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory33.0 B

Variable types

Categorical1
Text3

Dataset

Description2017년도 대한적십자사 헌혈의집 현황(혈액원명, 헌혈의집, 주소지, 전화번호)
Author대한적십자사
URLhttps://www.data.go.kr/data/15050728/fileData.do

Alerts

헌혈의 집 has unique valuesUnique
주소지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:13:15.679215
Analysis finished2023-12-12 21:13:15.997010
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

혈액원
Categorical

Distinct15
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울서부
16 
서울동부
15 
부산
14 
서울남부
13 
경기
11 
Other values (10)
69 

Length

Max length6
Median length4
Mean length3.1594203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울서부 16
11.6%
서울동부 15
10.9%
부산 14
10.1%
서울남부 13
9.4%
경기 11
8.0%
대구경북 11
8.0%
광주전남 9
 
6.5%
대전세종충남 8
 
5.8%
전북 8
 
5.8%
인천 7
 
5.1%
Other values (5) 26
18.8%

Length

2023-12-13T06:13:16.063669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울서부 16
11.6%
서울동부 15
10.9%
부산 14
10.1%
서울남부 13
9.4%
경기 11
8.0%
대구경북 11
8.0%
광주전남 9
 
6.5%
대전세종충남 8
 
5.8%
전북 8
 
5.8%
인천 7
 
5.1%
Other values (5) 26
18.8%

헌혈의 집
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T06:13:16.291727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length5.7608696
Min length4

Characters and Unicode

Total characters795
Distinct characters140
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)100.0%

Sample

1st row서울서부혈액원(원내센터)
2nd row서울역센터
3rd row신촌연대앞센터
4th row명동센터
5th row신촌센터
ValueCountFrequency (%)
서울서부혈액원(원내센터 1
 
0.7%
전북혈액원(원내센터 1
 
0.7%
청대앞센터 1
 
0.7%
군산대센터 1
 
0.7%
익산센터 1
 
0.7%
고사동센터 1
 
0.7%
덕진센터 1
 
0.7%
전북대센터 1
 
0.7%
효자센터 1
 
0.7%
군산센터 1
 
0.7%
Other values (128) 128
92.8%
2023-12-13T06:13:16.644835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 141
17.7%
센 138
 
17.4%
원 38
 
4.8%
대 38
 
4.8%
내 16
 
2.0%
동 15
 
1.9%
혈 15
 
1.9%
액 15
 
1.9%
( 15
 
1.9%
) 15
 
1.9%
Other values (130) 349
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 759
95.5%
Open Punctuation 15
 
1.9%
Close Punctuation 15
 
1.9%
Decimal Number 5
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 141
18.6%
센 138
18.2%
원 38
 
5.0%
대 38
 
5.0%
내 16
 
2.1%
동 15
 
2.0%
혈 15
 
2.0%
액 15
 
2.0%
역 14
 
1.8%
산 13
 
1.7%
Other values (125) 316
41.6%
Decimal Number
ValueCountFrequency (%)
2 4
80.0%
8 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 759
95.5%
Common 36
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 141
18.6%
센 138
18.2%
원 38
 
5.0%
대 38
 
5.0%
내 16
 
2.1%
동 15
 
2.0%
혈 15
 
2.0%
액 15
 
2.0%
역 14
 
1.8%
산 13
 
1.7%
Other values (125) 316
41.6%
Common
ValueCountFrequency (%)
( 15
41.7%
) 15
41.7%
2 4
 
11.1%
8 1
 
2.8%
. 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
95.5%
ASCII 36
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 141
18.6%
센 138
18.2%
원 38
 
5.0%
대 38
 
5.0%
내 16
 
2.1%
동 15
 
2.0%
혈 15
 
2.0%
액 15
 
2.0%
역 14
 
1.8%
산 13
 
1.7%
Other values (125) 316
41.6%
ASCII
ValueCountFrequency (%)
( 15
41.7%
) 15
41.7%
2 4
 
11.1%
8 1
 
2.8%
. 1
 
2.8%

주소지
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T06:13:16.986896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length21.73913
Min length11

Characters and Unicode

Total characters3000
Distinct characters243
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)100.0%

Sample

1st row서울 강서구 공항대로 591
2nd row서울 중구 청파로 426
3rd row서울 서대문구 명물길 6, 신촌빌딩 8층
4th row서울 중구 명동 10길 38, 4층
5th row서울 서대문구 신촌로 107, 세인빌딩 2층
ValueCountFrequency (%)
서울 39
 
5.1%
2층 32
 
4.1%
경기 19
 
2.5%
3층 14
 
1.8%
부산 14
 
1.8%
중구 12
 
1.6%
4층 11
 
1.4%
전북 8
 
1.0%
강원 7
 
0.9%
대구 7
 
0.9%
Other values (447) 609
78.9%
2023-12-13T06:13:17.557057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
639
21.3%
로 129
 
4.3%
구 124
 
4.1%
2 106
 
3.5%
, 98
 
3.3%
1 89
 
3.0%
층 80
 
2.7%
대 65
 
2.2%
3 62
 
2.1%
0 58
 
1.9%
Other values (233) 1550
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1692
56.4%
Space Separator 639
 
21.3%
Decimal Number 545
 
18.2%
Other Punctuation 99
 
3.3%
Dash Punctuation 19
 
0.6%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 129
 
7.6%
구 124
 
7.3%
층 80
 
4.7%
대 65
 
3.8%
시 58
 
3.4%
서 58
 
3.4%
울 46
 
2.7%
산 42
 
2.5%
길 36
 
2.1%
동 34
 
2.0%
Other values (214) 1020
60.3%
Decimal Number
ValueCountFrequency (%)
2 106
19.4%
1 89
16.3%
3 62
11.4%
0 58
10.6%
5 47
8.6%
4 45
8.3%
6 39
 
7.2%
8 36
 
6.6%
7 33
 
6.1%
9 30
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
R 1
16.7%
C 1
16.7%
J 1
16.7%
Y 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 98
99.0%
. 1
 
1.0%
Space Separator
ValueCountFrequency (%)
639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1692
56.4%
Common 1302
43.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 129
 
7.6%
구 124
 
7.3%
층 80
 
4.7%
대 65
 
3.8%
시 58
 
3.4%
서 58
 
3.4%
울 46
 
2.7%
산 42
 
2.5%
길 36
 
2.1%
동 34
 
2.0%
Other values (214) 1020
60.3%
Common
ValueCountFrequency (%)
639
49.1%
2 106
 
8.1%
, 98
 
7.5%
1 89
 
6.8%
3 62
 
4.8%
0 58
 
4.5%
5 47
 
3.6%
4 45
 
3.5%
6 39
 
3.0%
8 36
 
2.8%
Other values (4) 83
 
6.4%
Latin
ValueCountFrequency (%)
B 2
33.3%
R 1
16.7%
C 1
16.7%
J 1
16.7%
Y 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1692
56.4%
ASCII 1308
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
639
48.9%
2 106
 
8.1%
, 98
 
7.5%
1 89
 
6.8%
3 62
 
4.7%
0 58
 
4.4%
5 47
 
3.6%
4 45
 
3.4%
6 39
 
3.0%
8 36
 
2.8%
Other values (9) 89
 
6.8%
Hangul
ValueCountFrequency (%)
로 129
 
7.6%
구 124
 
7.3%
층 80
 
4.7%
대 65
 
3.8%
시 58
 
3.4%
서 58
 
3.4%
울 46
 
2.7%
산 42
 
2.5%
길 36
 
2.1%
동 34
 
2.0%
Other values (214) 1020
60.3%

전화번호
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T06:13:17.833222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.768116
Min length11

Characters and Unicode

Total characters1624
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

Unique138 ?
Unique (%)100.0%

Sample

1st row02-6711-0114
2nd row02-752-9020
3rd row02-392-6460
4th row02-777-1291
5th row02-312-1247
ValueCountFrequency (%)
02-6711-0114 1
 
0.7%
063-270-5800 1
 
0.7%
043-268-2656 1
 
0.7%
063-463-7455 1
 
0.7%
063-856-2110 1
 
0.7%
063-285-2114 1
 
0.7%
063-275-2114 1
 
0.7%
063-275-9907 1
 
0.7%
063-229-2116 1
 
0.7%
063-466-0609 1
 
0.7%
Other values (128) 128
92.8%
2023-12-13T06:13:18.275330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 276
17.0%
0 242
14.9%
2 205
12.6%
5 175
10.8%
3 141
8.7%
1 134
8.3%
6 124
7.6%
4 103
 
6.3%
7 79
 
4.9%
8 74
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1348
83.0%
Dash Punctuation 276
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 242
18.0%
2 205
15.2%
5 175
13.0%
3 141
10.5%
1 134
9.9%
6 124
9.2%
4 103
7.6%
7 79
 
5.9%
8 74
 
5.5%
9 71
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 276
17.0%
0 242
14.9%
2 205
12.6%
5 175
10.8%
3 141
8.7%
1 134
8.3%
6 124
7.6%
4 103
 
6.3%
7 79
 
4.9%
8 74
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 276
17.0%
0 242
14.9%
2 205
12.6%
5 175
10.8%
3 141
8.7%
1 134
8.3%
6 124
7.6%
4 103
 
6.3%
7 79
 
4.9%
8 74
 
4.6%

Missing values

2023-12-13T06:13:15.896079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:13:15.969005image/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

혈액원헌혈의 집주소지전화번호
0서울서부서울서부혈액원(원내센터)서울 강서구 공항대로 59102-6711-0114
1서울서부서울역센터서울 중구 청파로 42602-752-9020
2서울서부신촌연대앞센터서울 서대문구 명물길 6, 신촌빌딩 8층02-392-6460
3서울서부명동센터서울 중구 명동 10길 38, 4층02-777-1291
4서울서부신촌센터서울 서대문구 신촌로 107, 세인빌딩 2층02-312-1247
5서울서부연신내센터서울 은평구 통일로 855-8, 연신내진원와이타운 4층 401호02-353-7750
6서울서부목동센터서울 양천구 목동동로 293, 현대41타워 지하1층 B-02호02-715-3105
7서울서부홍대센터서울 마포구 양화로 152, 대화빌딩 6층02-323-5420
8서울서부구로디지털단지역센터서울 구로구 도림천로 47702-869-9415
9서울서부서울대역센터서울 관악구 관악로 152, 2층02-873-4364
혈액원헌혈의 집주소지전화번호
128경남창원센터경남 창원시 의창구 원이대로 587, 정우상가 2층055-286-5161
129제주제주혈액원(원내센터)제주 제주시 오남로 45064-720-7800
130제주제주센터제주 제주시 중앙로 60, 2층064-758-8101
131제주한라센터제주 제주시 중앙로 230, 중앙빌딩 6층064-757-8101
132울산울산혈액원(원내센터)울산 중구 함월 10길 25052-245-2982
133울산성남동센터울산 중구 젊음의거리 58, 2층052-243-8799
134울산울산대센터울산 남구 대학로 93, 종합서비스센터 105호052-224-3969
135울산울산과학대센터울산 동구 봉수로 101, 제3대학관 2층052-236-3459
136울산공업탑센터울산 남구 삼산로 18, 2층052-260-7918
137울산삼산동센터울산 남구 삼산로 275, 킴스메디컬빌딩 2층052-266-5225