Overview

Dataset statistics

Number of variables3
Number of observations1070
Missing cells277
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory24.1 B

Variable types

Text3

Dataset

Description한국보건의료인국가시험원 간호조무사 접수를 위해 등록된 간호조무사 학원에 대한 정보(학원명, 주소지역)를 제공합니다.
Author한국보건의료인국가시험원
URLhttps://www.data.go.kr/data/15053151/fileData.do

Alerts

우편번호 has 277 (25.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:46:35.851961
Analysis finished2023-12-12 18:46:36.763062
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학원명
Text

Distinct897
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T03:46:37.074035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.646729
Min length5

Characters and Unicode

Total characters8182
Distinct characters344
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique798 ?
Unique (%)74.6%

Sample

1st row(구)원광효도마을 간호조무사학원
2nd row(주)동산간호학원
3rd row(주)메디잡리더스간호학원
4th row(주)하이엔원주간호학원
5th row(주)하이엔원주간호학원분원
ValueCountFrequency (%)
제일간호학원 9
 
0.8%
연세간호학원 8
 
0.7%
대한간호학원 7
 
0.6%
성모간호학원 6
 
0.6%
우리간호학원 6
 
0.6%
중앙간호학원 6
 
0.6%
한국간호학원 6
 
0.6%
현대간호학원 5
 
0.5%
메디칼간호학원 5
 
0.5%
미래간호학원 5
 
0.5%
Other values (899) 1025
94.2%
2023-12-13T03:46:37.663214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1112
 
13.6%
학 1069
 
13.1%
호 1062
 
13.0%
간 1050
 
12.8%
사 114
 
1.4%
조 107
 
1.3%
무 107
 
1.3%
성 107
 
1.3%
전 93
 
1.1%
산 86
 
1.1%
Other values (334) 3275
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8030
98.1%
Open Punctuation 46
 
0.6%
Close Punctuation 46
 
0.6%
Uppercase Letter 33
 
0.4%
Space Separator 19
 
0.2%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1112
 
13.8%
학 1069
 
13.3%
호 1062
 
13.2%
간 1050
 
13.1%
사 114
 
1.4%
조 107
 
1.3%
무 107
 
1.3%
성 107
 
1.3%
전 93
 
1.2%
산 86
 
1.1%
Other values (311) 3123
38.9%
Uppercase Letter
ValueCountFrequency (%)
N 8
24.2%
S 7
21.2%
K 4
12.1%
O 2
 
6.1%
A 2
 
6.1%
P 2
 
6.1%
E 1
 
3.0%
D 1
 
3.0%
T 1
 
3.0%
R 1
 
3.0%
Other values (4) 4
12.1%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
& 1
25.0%
/ 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8029
98.1%
Common 119
 
1.5%
Latin 33
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1112
 
13.8%
학 1069
 
13.3%
호 1062
 
13.2%
간 1050
 
13.1%
사 114
 
1.4%
조 107
 
1.3%
무 107
 
1.3%
성 107
 
1.3%
전 93
 
1.2%
산 86
 
1.1%
Other values (310) 3122
38.9%
Latin
ValueCountFrequency (%)
N 8
24.2%
S 7
21.2%
K 4
12.1%
O 2
 
6.1%
A 2
 
6.1%
P 2
 
6.1%
E 1
 
3.0%
D 1
 
3.0%
T 1
 
3.0%
R 1
 
3.0%
Other values (4) 4
12.1%
Common
ValueCountFrequency (%)
( 46
38.7%
) 46
38.7%
19
16.0%
· 2
 
1.7%
- 2
 
1.7%
& 1
 
0.8%
1 1
 
0.8%
2 1
 
0.8%
/ 1
 
0.8%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8029
98.1%
ASCII 150
 
1.8%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1112
 
13.8%
학 1069
 
13.3%
호 1062
 
13.2%
간 1050
 
13.1%
사 114
 
1.4%
조 107
 
1.3%
무 107
 
1.3%
성 107
 
1.3%
전 93
 
1.2%
산 86
 
1.1%
Other values (310) 3122
38.9%
ASCII
ValueCountFrequency (%)
( 46
30.7%
) 46
30.7%
19
12.7%
N 8
 
5.3%
S 7
 
4.7%
K 4
 
2.7%
- 2
 
1.3%
O 2
 
1.3%
A 2
 
1.3%
P 2
 
1.3%
Other values (12) 12
 
8.0%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

주소지역
Text

Distinct1049
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T03:46:38.071753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length28.435514
Min length12

Characters and Unicode

Total characters30426
Distinct characters437
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1028 ?
Unique (%)96.1%

Sample

1st row전라북도 익산시 무왕로 864, 3층
2nd row대구광역시 중구 중앙대로 405, 3층 일부 (남일동)
3rd row서울특별시 강남구 강남대로 368, 동인빌딩 5층 일부(역삼동)
4th row강원도 원주시 원일로 119, 3층 (일산동)
5th row강원도 원주시 원일로 121 , 51-14 3층 (일산동)
ValueCountFrequency (%)
경기도 201
 
3.2%
3층 197
 
3.1%
2층 143
 
2.3%
서울특별시 139
 
2.2%
4층 92
 
1.4%
경상남도 77
 
1.2%
5층 76
 
1.2%
일부 73
 
1.1%
경상북도 73
 
1.1%
전라북도 72
 
1.1%
Other values (2631) 5211
82.0%
2023-12-13T03:46:38.676529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5300
 
17.4%
시 1004
 
3.3%
, 948
 
3.1%
1 937
 
3.1%
동 857
 
2.8%
층 848
 
2.8%
2 811
 
2.7%
3 788
 
2.6%
로 780
 
2.6%
구 748
 
2.5%
Other values (427) 17405
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17216
56.6%
Decimal Number 5519
 
18.1%
Space Separator 5300
 
17.4%
Other Punctuation 977
 
3.2%
Open Punctuation 513
 
1.7%
Close Punctuation 513
 
1.7%
Dash Punctuation 337
 
1.1%
Uppercase Letter 30
 
0.1%
Math Symbol 21
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1004
 
5.8%
동 857
 
5.0%
층 848
 
4.9%
로 780
 
4.5%
구 748
 
4.3%
도 647
 
3.8%
광 424
 
2.5%
대 415
 
2.4%
호 408
 
2.4%
경 407
 
2.4%
Other values (391) 10678
62.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
23.3%
C 5
16.7%
B 4
13.3%
K 2
 
6.7%
S 2
 
6.7%
J 1
 
3.3%
I 1
 
3.3%
Y 1
 
3.3%
D 1
 
3.3%
L 1
 
3.3%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
1 937
17.0%
2 811
14.7%
3 788
14.3%
4 574
10.4%
0 543
9.8%
5 506
9.2%
6 414
7.5%
7 355
 
6.4%
8 318
 
5.8%
9 273
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 948
97.0%
· 22
 
2.3%
. 3
 
0.3%
/ 2
 
0.2%
; 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 513
100.0%
Close Punctuation
ValueCountFrequency (%)
) 513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 337
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17216
56.6%
Common 13180
43.3%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1004
 
5.8%
동 857
 
5.0%
층 848
 
4.9%
로 780
 
4.5%
구 748
 
4.3%
도 647
 
3.8%
광 424
 
2.5%
대 415
 
2.4%
호 408
 
2.4%
경 407
 
2.4%
Other values (391) 10678
62.0%
Common
ValueCountFrequency (%)
5300
40.2%
, 948
 
7.2%
1 937
 
7.1%
2 811
 
6.2%
3 788
 
6.0%
4 574
 
4.4%
0 543
 
4.1%
( 513
 
3.9%
) 513
 
3.9%
5 506
 
3.8%
Other values (11) 1747
 
13.3%
Latin
ValueCountFrequency (%)
A 7
23.3%
C 5
16.7%
B 4
13.3%
K 2
 
6.7%
S 2
 
6.7%
J 1
 
3.3%
I 1
 
3.3%
Y 1
 
3.3%
D 1
 
3.3%
L 1
 
3.3%
Other values (5) 5
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17216
56.6%
ASCII 13188
43.3%
None 22
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5300
40.2%
, 948
 
7.2%
1 937
 
7.1%
2 811
 
6.1%
3 788
 
6.0%
4 574
 
4.4%
0 543
 
4.1%
( 513
 
3.9%
) 513
 
3.9%
5 506
 
3.8%
Other values (25) 1755
 
13.3%
Hangul
ValueCountFrequency (%)
시 1004
 
5.8%
동 857
 
5.0%
층 848
 
4.9%
로 780
 
4.5%
구 748
 
4.3%
도 647
 
3.8%
광 424
 
2.5%
대 415
 
2.4%
호 408
 
2.4%
경 407
 
2.4%
Other values (391) 10678
62.0%
None
ValueCountFrequency (%)
· 22
100.0%

우편번호
Text

MISSING 

Distinct158
Distinct (%)19.9%
Missing277
Missing (%)25.9%
Memory size8.5 KiB
2023-12-13T03:46:39.173097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.593947
Min length5

Characters and Unicode

Total characters5229
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

Unique141 ?
Unique (%)17.8%

Sample

1st row54645
2nd row
3rd row
4th row11704
5th row10823
ValueCountFrequency (%)
30100 3
 
1.7%
35271 3
 
1.7%
50926 2
 
1.1%
27165 2
 
1.1%
22133 2
 
1.1%
28586 2
 
1.1%
59324 2
 
1.1%
04782 2
 
1.1%
31156 2
 
1.1%
62247 2
 
1.1%
Other values (147) 153
87.4%
2023-12-13T03:46:40.016068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4326
82.7%
1 119
 
2.3%
2 103
 
2.0%
5 100
 
1.9%
0 97
 
1.9%
6 95
 
1.8%
3 94
 
1.8%
4 91
 
1.7%
7 68
 
1.3%
8 65
 
1.2%
Other values (2) 71
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Space Separator 4326
82.7%
Decimal Number 889
 
17.0%
Dash Punctuation 14
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 119
13.4%
2 103
11.6%
5 100
11.2%
0 97
10.9%
6 95
10.7%
3 94
10.6%
4 91
10.2%
7 68
7.6%
8 65
7.3%
9 57
6.4%
Space Separator
ValueCountFrequency (%)
4326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4326
82.7%
1 119
 
2.3%
2 103
 
2.0%
5 100
 
1.9%
0 97
 
1.9%
6 95
 
1.8%
3 94
 
1.8%
4 91
 
1.7%
7 68
 
1.3%
8 65
 
1.2%
Other values (2) 71
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4326
82.7%
1 119
 
2.3%
2 103
 
2.0%
5 100
 
1.9%
0 97
 
1.9%
6 95
 
1.8%
3 94
 
1.8%
4 91
 
1.7%
7 68
 
1.3%
8 65
 
1.2%
Other values (2) 71
 
1.4%

Missing values

2023-12-13T03:46:36.522531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:46:36.710543image/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

학원명주소지역우편번호
0(구)원광효도마을 간호조무사학원전라북도 익산시 무왕로 864, 3층54645
1(주)동산간호학원대구광역시 중구 중앙대로 405, 3층 일부 (남일동)
2(주)메디잡리더스간호학원서울특별시 강남구 강남대로 368, 동인빌딩 5층 일부(역삼동)<NA>
3(주)하이엔원주간호학원강원도 원주시 원일로 119, 3층 (일산동)<NA>
4(주)하이엔원주간호학원분원강원도 원주시 원일로 121 , 51-14 3층 (일산동)
5가람간호학원경기도 의정부시 회룡로 138 4층11704
6가양간호학원대전광역시 동구 충정로 6, 3층(가양동, 대성빌딩)<NA>
7가원간호학원경기도 파주시 문산읍 문산로26번길 14, 205·206호10823
8가족사랑간호학원광주광역시 송정동 1003-144번지(3층)
9가톨릭간호조무사학원대전광역시 동구 중동 318
학원명주소지역우편번호
1060휴앤아이간호학원경기도 의정부시 신흥로 258번길 25, 6층(해태프라자)11670
1061휴앤아이간호학원경기도 수원시 장안구 송원로 81, 502호 일부<NA>
1062휴앤아이간호학원경기도 용인시 수지구 풍덕천로 108, 2층 일부(준오빌딩)<NA>
1063희연병원부속간호학원경상남도 창원시 성산구 마디미로43번길 2, 901호 일부(상남동, 봉림빌딩)<NA>
1064DEN간호학원경상북도 구미시 인의동 365-2번지 5층
1065NAS간호학원대구광역시 중구 달구벌대로 2109-34(동성로 3가), 4층41943
1066SK간호학원경기도 화성시 병점동 844-1번지 씨네샤르망B동 502호
1067SK간호학원부산광역시 북구 덕천동 389-1 대광빌딩 6층
1068SKN간호학원경기도 화성시 병점3로 12, 3층(병점동, 신성빌딩)<NA>
1069SOK간호학원부산광역시 북구 덕천동 389-1 대광빌딩 6층