Overview

Dataset statistics

Number of variables7
Number of observations686
Missing cells8
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.3 KiB
Average record size in memory57.2 B

Variable types

Categorical3
Text4

Dataset

Description산재보험에서 제공하는 직업훈련기관정보, 재활스포츠 위탁기관정보, 심리재활프로그램 위탁기관 정보 데이터입니다. * 2019년 8월 기준
Author근로복지공단
URLhttps://www.data.go.kr/data/3044318/fileData.do

Alerts

연도 has constant value ""Constant
구분 has constant value ""Constant
연락처 has 8 (1.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:52:34.277158
Analysis finished2023-12-12 14:52:35.105725
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2019
686 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 686
100.0%

Length

2023-12-12T23:52:35.177734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:35.291429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 686
100.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
직업훈련기관
686 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직업훈련기관 686
100.0%

Length

2023-12-12T23:52:35.393758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:35.514691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직업훈련기관 686
100.0%

기관명
Text

Distinct670
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T23:52:35.767349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length10.367347
Min length5

Characters and Unicode

Total characters7112
Distinct characters367
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

Unique658 ?
Unique (%)95.9%

Sample

1st row용봉자동차운전학원
2nd row강릉요양보호사교육원
3rd row강릉요리학원
4th row동방직업전문학교
5th row강릉직업전문학교
ValueCountFrequency (%)
그린컴퓨터아카데미 7
 
1.0%
주식회사 4
 
0.5%
현대직업전문학교 3
 
0.4%
안산 3
 
0.4%
한국직업능력교육원 3
 
0.4%
요양보호사교육원 3
 
0.4%
월드용접전문기술학원 3
 
0.4%
재단법인 3
 
0.4%
전문학원 2
 
0.3%
대영직업전문학교 2
 
0.3%
Other values (687) 701
95.5%
2023-12-12T23:52:36.218708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 537
 
7.6%
원 498
 
7.0%
전 350
 
4.9%
교 274
 
3.9%
문 262
 
3.7%
업 213
 
3.0%
직 199
 
2.8%
요 132
 
1.9%
동 121
 
1.7%
리 118
 
1.7%
Other values (357) 4408
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6764
95.1%
Close Punctuation 114
 
1.6%
Open Punctuation 113
 
1.6%
Uppercase Letter 56
 
0.8%
Space Separator 49
 
0.7%
Other Punctuation 7
 
0.1%
Decimal Number 5
 
0.1%
Connector Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 537
 
7.9%
원 498
 
7.4%
전 350
 
5.2%
교 274
 
4.1%
문 262
 
3.9%
업 213
 
3.1%
직 199
 
2.9%
요 132
 
2.0%
동 121
 
1.8%
리 118
 
1.7%
Other values (326) 4060
60.0%
Uppercase Letter
ValueCountFrequency (%)
C 9
16.1%
I 8
14.3%
S 8
14.3%
T 6
10.7%
A 4
7.1%
J 3
 
5.4%
W 3
 
5.4%
M 2
 
3.6%
N 2
 
3.6%
D 2
 
3.6%
Other values (5) 9
16.1%
Other Punctuation
ValueCountFrequency (%)
/ 2
28.6%
. 2
28.6%
． 1
14.3%
, 1
14.3%
& 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
9 1
 
20.0%
2 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 112
98.2%
） 2
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 111
98.2%
（ 2
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6764
95.1%
Common 290
 
4.1%
Latin 58
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 537
 
7.9%
원 498
 
7.4%
전 350
 
5.2%
교 274
 
4.1%
문 262
 
3.9%
업 213
 
3.1%
직 199
 
2.9%
요 132
 
2.0%
동 121
 
1.8%
리 118
 
1.7%
Other values (326) 4060
60.0%
Latin
ValueCountFrequency (%)
C 9
15.5%
I 8
13.8%
S 8
13.8%
T 6
10.3%
A 4
 
6.9%
J 3
 
5.2%
W 3
 
5.2%
M 2
 
3.4%
N 2
 
3.4%
D 2
 
3.4%
Other values (7) 11
19.0%
Common
ValueCountFrequency (%)
) 112
38.6%
( 111
38.3%
49
16.9%
1 3
 
1.0%
/ 2
 
0.7%
_ 2
 
0.7%
. 2
 
0.7%
（ 2
 
0.7%
） 2
 
0.7%
． 1
 
0.3%
Other values (4) 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6764
95.1%
ASCII 343
 
4.8%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 537
 
7.9%
원 498
 
7.4%
전 350
 
5.2%
교 274
 
4.1%
문 262
 
3.9%
업 213
 
3.1%
직 199
 
2.9%
요 132
 
2.0%
동 121
 
1.8%
리 118
 
1.7%
Other values (326) 4060
60.0%
ASCII
ValueCountFrequency (%)
) 112
32.7%
( 111
32.4%
49
14.3%
C 9
 
2.6%
I 8
 
2.3%
S 8
 
2.3%
T 6
 
1.7%
A 4
 
1.2%
J 3
 
0.9%
W 3
 
0.9%
Other values (18) 30
 
8.7%
None
ValueCountFrequency (%)
（ 2
40.0%
） 2
40.0%
． 1
20.0%

우편번호
Text

Distinct576
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T23:52:36.607513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.03207
Min length5

Characters and Unicode

Total characters3452
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

Unique499 ?
Unique (%)72.7%

Sample

1st row25450
2nd row25548
3rd row210-090
4th row25504
5th row25549
ValueCountFrequency (%)
22136 6
 
0.9%
47296 6
 
0.9%
14001 5
 
0.7%
21404 5
 
0.7%
11670 4
 
0.6%
22163 3
 
0.4%
21110 3
 
0.4%
10414 3
 
0.4%
10497 3
 
0.4%
34832 3
 
0.4%
Other values (566) 645
94.0%
2023-12-12T23:52:37.209071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 521
15.1%
4 455
13.2%
2 423
12.3%
0 353
10.2%
5 345
10.0%
3 340
9.8%
6 310
9.0%
7 259
7.5%
9 225
6.5%
8 210
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3441
99.7%
Dash Punctuation 11
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 521
15.1%
4 455
13.2%
2 423
12.3%
0 353
10.3%
5 345
10.0%
3 340
9.9%
6 310
9.0%
7 259
7.5%
9 225
6.5%
8 210
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 521
15.1%
4 455
13.2%
2 423
12.3%
0 353
10.2%
5 345
10.0%
3 340
9.8%
6 310
9.0%
7 259
7.5%
9 225
6.5%
8 210
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 521
15.1%
4 455
13.2%
2 423
12.3%
0 353
10.2%
5 345
10.0%
3 340
9.8%
6 310
9.0%
7 259
7.5%
9 225
6.5%
8 210
6.1%

주소
Text

Distinct680
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T23:52:37.560718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length40
Mean length28.074344
Min length16

Characters and Unicode

Total characters19259
Distinct characters415
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

Unique674 ?
Unique (%)98.3%

Sample

1st row강원 강릉시 성산면 경강로 1377-9
2nd row강원 강릉시 용지각길 20 (포남동)
3rd row강원 강릉시 율곡로 2845 (옥천동)
4th row강원 강릉시 임영로 215-1 (교동, 동방직업전문학교)
5th row강원 강릉시 하평길 11 (포남동)
ValueCountFrequency (%)
경기 136
 
3.1%
인천 85
 
2.0%
서울 81
 
1.9%
3층 80
 
1.8%
부산 61
 
1.4%
2층 59
 
1.4%
4층 56
 
1.3%
대구 47
 
1.1%
5층 41
 
0.9%
경남 41
 
0.9%
Other values (1912) 3663
84.2%
2023-12-12T23:52:38.131229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3705
 
19.2%
동 798
 
4.1%
로 664
 
3.4%
( 627
 
3.3%
) 626
 
3.3%
1 586
 
3.0%
구 573
 
3.0%
2 478
 
2.5%
3 383
 
2.0%
층 353
 
1.8%
Other values (405) 10466
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10696
55.5%
Space Separator 3705
 
19.2%
Decimal Number 3067
 
15.9%
Open Punctuation 627
 
3.3%
Close Punctuation 626
 
3.3%
Other Punctuation 342
 
1.8%
Dash Punctuation 132
 
0.7%
Uppercase Letter 53
 
0.3%
Math Symbol 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 798
 
7.5%
로 664
 
6.2%
구 573
 
5.4%
층 353
 
3.3%
시 348
 
3.3%
대 313
 
2.9%
산 291
 
2.7%
경 280
 
2.6%
남 241
 
2.3%
천 219
 
2.0%
Other values (367) 6616
61.9%
Uppercase Letter
ValueCountFrequency (%)
B 10
18.9%
L 7
13.2%
A 5
9.4%
D 4
 
7.5%
E 3
 
5.7%
C 3
 
5.7%
I 3
 
5.7%
T 3
 
5.7%
W 2
 
3.8%
R 2
 
3.8%
Other values (8) 11
20.8%
Decimal Number
ValueCountFrequency (%)
1 586
19.1%
2 478
15.6%
3 383
12.5%
4 300
9.8%
5 276
9.0%
0 233
 
7.6%
6 230
 
7.5%
7 227
 
7.4%
8 186
 
6.1%
9 168
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 330
96.5%
/ 5
 
1.5%
. 4
 
1.2%
· 2
 
0.6%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3705
100.0%
Open Punctuation
ValueCountFrequency (%)
( 627
100.0%
Close Punctuation
ValueCountFrequency (%)
) 626
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10696
55.5%
Common 8510
44.2%
Latin 53
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 798
 
7.5%
로 664
 
6.2%
구 573
 
5.4%
층 353
 
3.3%
시 348
 
3.3%
대 313
 
2.9%
산 291
 
2.7%
경 280
 
2.6%
남 241
 
2.3%
천 219
 
2.0%
Other values (367) 6616
61.9%
Common
ValueCountFrequency (%)
3705
43.5%
( 627
 
7.4%
) 626
 
7.4%
1 586
 
6.9%
2 478
 
5.6%
3 383
 
4.5%
, 330
 
3.9%
4 300
 
3.5%
5 276
 
3.2%
0 233
 
2.7%
Other values (10) 966
 
11.4%
Latin
ValueCountFrequency (%)
B 10
18.9%
L 7
13.2%
A 5
9.4%
D 4
 
7.5%
E 3
 
5.7%
C 3
 
5.7%
I 3
 
5.7%
T 3
 
5.7%
W 2
 
3.8%
R 2
 
3.8%
Other values (8) 11
20.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10696
55.5%
ASCII 8561
44.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3705
43.3%
( 627
 
7.3%
) 626
 
7.3%
1 586
 
6.8%
2 478
 
5.6%
3 383
 
4.5%
, 330
 
3.9%
4 300
 
3.5%
5 276
 
3.2%
0 233
 
2.7%
Other values (27) 1017
 
11.9%
Hangul
ValueCountFrequency (%)
동 798
 
7.5%
로 664
 
6.2%
구 573
 
5.4%
층 353
 
3.3%
시 348
 
3.3%
대 313
 
2.9%
산 291
 
2.7%
경 280
 
2.6%
남 241
 
2.3%
천 219
 
2.0%
Other values (367) 6616
61.9%
None
ValueCountFrequency (%)
· 2
100.0%

연락처
Text

MISSING 

Distinct668
Distinct (%)98.5%
Missing8
Missing (%)1.2%
Memory size5.5 KiB
2023-12-12T23:52:38.427539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.951327
Min length11

Characters and Unicode

Total characters8103
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

Unique658 ?
Unique (%)97.1%

Sample

1st row033-641-6666
2nd row033-653-8898
3rd row033-643-9431
4th row033-645-5780
5th row033-651-1800
ValueCountFrequency (%)
032-428-8447 2
 
0.3%
031-8044-2111 2
 
0.3%
033-734-6525 2
 
0.3%
032-766-5635 2
 
0.3%
032-661-3582 2
 
0.3%
02-446-0988 2
 
0.3%
02-2278-5700 2
 
0.3%
063-277-7701 2
 
0.3%
042-222-5959 2
 
0.3%
042-489-5788 2
 
0.3%
Other values (658) 658
97.1%
2023-12-12T23:52:38.950258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1356
16.7%
0 1295
16.0%
3 884
10.9%
2 834
10.3%
5 775
9.6%
1 680
8.4%
6 574
7.1%
4 540
 
6.7%
7 449
 
5.5%
8 408
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6747
83.3%
Dash Punctuation 1356
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1295
19.2%
3 884
13.1%
2 834
12.4%
5 775
11.5%
1 680
10.1%
6 574
8.5%
4 540
8.0%
7 449
 
6.7%
8 408
 
6.0%
9 308
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8103
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1356
16.7%
0 1295
16.0%
3 884
10.9%
2 834
10.3%
5 775
9.6%
1 680
8.4%
6 574
7.1%
4 540
 
6.7%
7 449
 
5.5%
8 408
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1356
16.7%
0 1295
16.0%
3 884
10.9%
2 834
10.3%
5 775
9.6%
1 680
8.4%
6 574
7.1%
4 540
 
6.7%
7 449
 
5.5%
8 408
 
5.0%

관할지사
Categorical

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
경인지역본부
153 
부산지역본부
118 
서울지역본부
96 
광주지역본부
90 
대구지역본부
79 
Other values (3)
150 

Length

Max length6
Median length6
Mean length5.755102
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원주지사
2nd row원주지사
3rd row원주지사
4th row원주지사
5th row서울지역본부

Common Values

ValueCountFrequency (%)
경인지역본부 153
22.3%
부산지역본부 118
17.2%
서울지역본부 96
14.0%
광주지역본부 90
13.1%
대구지역본부 79
11.5%
대전지역본부 66
9.6%
수원지사 50
 
7.3%
원주지사 34
 
5.0%

Length

2023-12-12T23:52:39.144271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:39.325666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경인지역본부 153
22.3%
부산지역본부 118
17.2%
서울지역본부 96
14.0%
광주지역본부 90
13.1%
대구지역본부 79
11.5%
대전지역본부 66
9.6%
수원지사 50
 
7.3%
원주지사 34
 
5.0%

Missing values

2023-12-12T23:52:34.883949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:52:35.049330image/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

연도구분기관명우편번호주소연락처관할지사
02019직업훈련기관용봉자동차운전학원25450강원 강릉시 성산면 경강로 1377-9033-641-6666원주지사
12019직업훈련기관강릉요양보호사교육원25548강원 강릉시 용지각길 20 (포남동)033-653-8898원주지사
22019직업훈련기관강릉요리학원210-090강원 강릉시 율곡로 2845 (옥천동)033-643-9431원주지사
32019직업훈련기관동방직업전문학교25504강원 강릉시 임영로 215-1 (교동, 동방직업전문학교)033-645-5780원주지사
42019직업훈련기관강릉직업전문학교25549강원 강릉시 하평길 11 (포남동)033-651-1800서울지역본부
52019직업훈련기관뉴설악자동차운전학원24758강원 고성군 토성면 동해대로 5213-16033-632-5000서울지역본부
62019직업훈련기관동해직업전문학교25705강원 동해시 마상천길 77 (초구동, 강원산업중.고등학교)033-534-3698서울지역본부
72019직업훈련기관추암자동차학원25790강원 동해시 공단1로 80 (추암동, 추암자동차운전전문학원)033-522-2205서울지역본부
82019직업훈련기관동해요양보호사교육원25761강원 동해시 천곡로 41-1 (천곡동)033-533-5093서울지역본부
92019직업훈련기관삼척요양보호사교육원25929강원 삼척시 남양안길 21-6 3층 (남양동, 고주박)033-572-0242서울지역본부
연도구분기관명우편번호주소연락처관할지사
6762019직업훈련기관(주)대영자동차운전전문학원대영중장비운전학원28153충북 청주시 청원구 내수읍 구성길 17043-218-7701대전지역본부
6772019직업훈련기관충북중장비운전자동차정비학원28353충북 청주시 청원구 사천로18번길 34 (사천동)043-212-2500대전지역본부
6782019직업훈련기관청주직업전문학교28172충북 청주시 흥덕구 강내면 가로수로 503043-275-5200대전지역본부
6792019직업훈련기관청주음식나라조리학원28598충북 청주시 흥덕구 복대동 48-1번지 B L A동 3층043-237-7784대전지역본부
6802019직업훈련기관충주요양보호사교육원27406충북 충주시 국원대로 8 2층 (문화동)043-848-2006대전지역본부
6812019직업훈련기관충주YWCA27366충북 충주시 사직로 229 (성내동)043-848-3240대전지역본부
6822019직업훈련기관(주)조양자동차운전전문학원27486충북 충주시 샘골길 26 (안림동)043-853-5801대전지역본부
6832019직업훈련기관충주직업전문학교27393충북 충주시 예성로 122 (성남동, 정보빌딩)043-853-7499대전지역본부
6842019직업훈련기관현대미용학원18143충북 충주시 예성로 161-3 2층 (성서동)043-854-0001대전지역본부
6852019직업훈련기관충주중장비직업전문학교27478충북 충주시 충원대로 27 (단월동)043-845-8900대전지역본부