Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory566.4 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Text2
Categorical2

Dataset

Description한국산업안전보건공단에서 사용하는 표준 용어에 대한 정보로 용어명 도메인 유형구분, 도메인명, 데이터타입, 데이터 길이와 같은 컬럼을 제공합니다.
Author한국산업안전보건공단
URLhttps://www.data.go.kr/data/15091964/fileData.do

Alerts

데이터타입 is highly imbalanced (56.7%)Imbalance
번호 has unique valuesUnique
데이터길이 has 1684 (16.8%) zerosZeros

Reproduction

Analysis started2023-12-12 13:02:24.862928
Analysis finished2023-12-12 13:02:26.434068
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9693.9196
Minimum2
Maximum19464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:02:26.543903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile958.9
Q14862.75
median9632.5
Q314568.25
95-th percentile18491.05
Maximum19464
Range19462
Interquartile range (IQR)9705.5

Descriptive statistics

Standard deviation5614.577
Coefficient of variation (CV)0.57918544
Kurtosis-1.1919924
Mean9693.9196
Median Absolute Deviation (MAD)4856.5
Skewness0.013073001
Sum96939196
Variance31523475
MonotonicityNot monotonic
2023-12-12T22:02:26.734396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4119 1
 
< 0.1%
1159 1
 
< 0.1%
11500 1
 
< 0.1%
5964 1
 
< 0.1%
3485 1
 
< 0.1%
11995 1
 
< 0.1%
13677 1
 
< 0.1%
17076 1
 
< 0.1%
9862 1
 
< 0.1%
17909 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
ValueCountFrequency (%)
19464 1
< 0.1%
19461 1
< 0.1%
19459 1
< 0.1%
19456 1
< 0.1%
19450 1
< 0.1%
19448 1
< 0.1%
19447 1
< 0.1%
19445 1
< 0.1%
19440 1
< 0.1%
19439 1
< 0.1%

용어명
Text

Distinct9979
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:02:26.994415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length8.3485
Min length2

Characters and Unicode

Total characters83485
Distinct characters529
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

Unique9958 ?
Unique (%)99.6%

Sample

1st row저장일자
2nd row절감여부
3rd row교육기관구분코드
4th row기준일자
5th row기간시간분류코드
ValueCountFrequency (%)
s마크기술분야명 2
 
< 0.1%
강사이메일암호화값 2
 
< 0.1%
ods처리유형구분코드 2
 
< 0.1%
건강적합율 2
 
< 0.1%
강의월또는연평균횟수 2
 
< 0.1%
강사한자성명 2
 
< 0.1%
가중사망지분율 2
 
< 0.1%
거래처담당자직위명 2
 
< 0.1%
가중치운영3영역값 2
 
< 0.1%
거절사유구분코드 2
 
< 0.1%
Other values (9969) 9980
99.8%
2023-12-12T22:02:27.371956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 2837
 
3.4%
코 2753
 
3.3%
자 2487
 
3.0%
분 1981
 
2.4%
사 1960
 
2.3%
일 1722
 
2.1%
구 1697
 
2.0%
수 1607
 
1.9%
명 1534
 
1.8%
호 1429
 
1.7%
Other values (519) 63478
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80548
96.5%
Decimal Number 1838
 
2.2%
Uppercase Letter 451
 
0.5%
Open Punctuation 300
 
0.4%
Close Punctuation 300
 
0.4%
Dash Punctuation 23
 
< 0.1%
Lowercase Letter 21
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 2837
 
3.5%
코 2753
 
3.4%
자 2487
 
3.1%
분 1981
 
2.5%
사 1960
 
2.4%
일 1722
 
2.1%
구 1697
 
2.1%
수 1607
 
2.0%
명 1534
 
1.9%
호 1429
 
1.8%
Other values (472) 60541
75.2%
Uppercase Letter
ValueCountFrequency (%)
S 77
17.1%
P 37
 
8.2%
M 37
 
8.2%
B 32
 
7.1%
A 28
 
6.2%
R 28
 
6.2%
L 25
 
5.5%
O 23
 
5.1%
D 23
 
5.1%
E 19
 
4.2%
Other values (15) 122
27.1%
Decimal Number
ValueCountFrequency (%)
1 511
27.8%
2 430
23.4%
3 233
12.7%
4 171
 
9.3%
5 129
 
7.0%
0 120
 
6.5%
6 90
 
4.9%
7 60
 
3.3%
8 51
 
2.8%
9 43
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
19.0%
e 4
19.0%
g 3
14.3%
w 2
9.5%
n 2
9.5%
p 2
9.5%
m 2
9.5%
l 2
9.5%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
% 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80548
96.5%
Common 2465
 
3.0%
Latin 472
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 2837
 
3.5%
코 2753
 
3.4%
자 2487
 
3.1%
분 1981
 
2.5%
사 1960
 
2.4%
일 1722
 
2.1%
구 1697
 
2.1%
수 1607
 
2.0%
명 1534
 
1.9%
호 1429
 
1.8%
Other values (472) 60541
75.2%
Latin
ValueCountFrequency (%)
S 77
16.3%
P 37
 
7.8%
M 37
 
7.8%
B 32
 
6.8%
A 28
 
5.9%
R 28
 
5.9%
L 25
 
5.3%
O 23
 
4.9%
D 23
 
4.9%
E 19
 
4.0%
Other values (23) 143
30.3%
Common
ValueCountFrequency (%)
1 511
20.7%
2 430
17.4%
( 300
12.2%
) 300
12.2%
3 233
9.5%
4 171
 
6.9%
5 129
 
5.2%
0 120
 
4.9%
6 90
 
3.7%
7 60
 
2.4%
Other values (4) 121
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80548
96.5%
ASCII 2937
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 2837
 
3.5%
코 2753
 
3.4%
자 2487
 
3.1%
분 1981
 
2.5%
사 1960
 
2.4%
일 1722
 
2.1%
구 1697
 
2.1%
수 1607
 
2.0%
명 1534
 
1.9%
호 1429
 
1.8%
Other values (472) 60541
75.2%
ASCII
ValueCountFrequency (%)
1 511
17.4%
2 430
14.6%
( 300
10.2%
) 300
10.2%
3 233
7.9%
4 171
 
5.8%
5 129
 
4.4%
0 120
 
4.1%
6 90
 
3.1%
S 77
 
2.6%
Other values (37) 576
19.6%

도메인유형구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반
6310 
코드
2467 
번호
1223 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 6310
63.1%
코드 2467
 
24.7%
번호 1223
 
12.2%

Length

2023-12-12T22:02:27.776591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:02:27.887643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 6310
63.1%
코드 2467
 
24.7%
번호 1223
 
12.2%

도메인명
Text

Distinct182
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:02:28.112478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.4186
Min length4

Characters and Unicode

Total characters64186
Distinct characters199
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)0.6%

Sample

1st row일자VC8
2nd row여부VC1
3rd row구분코드VC20
4th row일자VC8
5th row코드VC15
ValueCountFrequency (%)
명vc200 1337
13.4%
구분코드vc20 1316
13.2%
코드vc15 1123
11.2%
일자vc8 759
 
7.6%
여부vc1 667
 
6.7%
금액dec 616
 
6.2%
내용vc2000 525
 
5.2%
수dec 450
 
4.5%
일련번호dec10 292
 
2.9%
번호vc11 254
 
2.5%
Other values (172) 2661
26.6%
2023-12-12T22:02:28.500294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 9902
15.4%
0 7747
 
12.1%
V 7575
 
11.8%
2 3681
 
5.7%
1 3183
 
5.0%
드 2483
 
3.9%
코 2470
 
3.8%
D 2320
 
3.6%
E 2319
 
3.6%
5 1826
 
2.8%
Other values (189) 20680
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23802
37.1%
Uppercase Letter 22354
34.8%
Decimal Number 18030
28.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 2483
 
10.4%
코 2470
 
10.4%
명 1436
 
6.0%
분 1337
 
5.6%
구 1317
 
5.5%
일 1286
 
5.4%
호 1236
 
5.2%
번 1234
 
5.2%
자 1039
 
4.4%
수 830
 
3.5%
Other values (168) 9134
38.4%
Uppercase Letter
ValueCountFrequency (%)
C 9902
44.3%
V 7575
33.9%
D 2320
 
10.4%
E 2319
 
10.4%
T 96
 
0.4%
M 96
 
0.4%
L 17
 
0.1%
U 12
 
0.1%
R 8
 
< 0.1%
N 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 7747
43.0%
2 3681
20.4%
1 3183
17.7%
5 1826
 
10.1%
8 798
 
4.4%
3 265
 
1.5%
4 240
 
1.3%
9 158
 
0.9%
6 67
 
0.4%
7 65
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23802
37.1%
Latin 22354
34.8%
Common 18030
28.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 2483
 
10.4%
코 2470
 
10.4%
명 1436
 
6.0%
분 1337
 
5.6%
구 1317
 
5.5%
일 1286
 
5.4%
호 1236
 
5.2%
번 1234
 
5.2%
자 1039
 
4.4%
수 830
 
3.5%
Other values (168) 9134
38.4%
Latin
ValueCountFrequency (%)
C 9902
44.3%
V 7575
33.9%
D 2320
 
10.4%
E 2319
 
10.4%
T 96
 
0.4%
M 96
 
0.4%
L 17
 
0.1%
U 12
 
0.1%
R 8
 
< 0.1%
N 5
 
< 0.1%
Common
ValueCountFrequency (%)
0 7747
43.0%
2 3681
20.4%
1 3183
17.7%
5 1826
 
10.1%
8 798
 
4.4%
3 265
 
1.5%
4 240
 
1.3%
9 158
 
0.9%
6 67
 
0.4%
7 65
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40384
62.9%
Hangul 23802
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 9902
24.5%
0 7747
19.2%
V 7575
18.8%
2 3681
 
9.1%
1 3183
 
7.9%
D 2320
 
5.7%
E 2319
 
5.7%
5 1826
 
4.5%
8 798
 
2.0%
3 265
 
0.7%
Other values (11) 768
 
1.9%
Hangul
ValueCountFrequency (%)
드 2483
 
10.4%
코 2470
 
10.4%
명 1436
 
6.0%
분 1337
 
5.6%
구 1317
 
5.5%
일 1286
 
5.4%
호 1236
 
5.2%
번 1234
 
5.2%
자 1039
 
4.4%
수 830
 
3.5%
Other values (168) 9134
38.4%

데이터타입
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
VARCHAR
7576 
NUMERIC
2319 
DATE
 
96
CLOB
 
9

Length

Max length7
Median length7
Mean length6.9685
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
VARCHAR 7576
75.8%
NUMERIC 2319
 
23.2%
DATE 96
 
1.0%
CLOB 9
 
0.1%

Length

2023-12-12T22:02:28.661348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:02:28.771595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
varchar 7576
75.8%
numeric 2319
 
23.2%
date 96
 
1.0%
clob 9
 
0.1%

데이터길이
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.9338
Minimum0
Maximum4000
Zeros1684
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:02:28.876842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median15
Q350
95-th percentile2000
Maximum4000
Range4000
Interquartile range (IQR)46

Descriptive statistics

Standard deviation540.22655
Coefficient of variation (CV)2.9531259
Kurtosis16.853902
Mean182.9338
Median Absolute Deviation (MAD)14
Skewness3.9725137
Sum1829338
Variance291844.73
MonotonicityNot monotonic
2023-12-12T22:02:29.000667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1684
16.8%
20 1485
14.8%
200 1357
13.6%
15 1145
11.5%
8 772
7.7%
1 702
7.0%
2000 595
 
5.9%
10 536
 
5.4%
50 325
 
3.2%
11 254
 
2.5%
Other values (25) 1145
11.5%
ValueCountFrequency (%)
0 1684
16.8%
1 702
7.0%
2 4
 
< 0.1%
3 11
 
0.1%
4 118
 
1.2%
5 192
 
1.9%
6 63
 
0.6%
7 1
 
< 0.1%
8 772
7.7%
9 142
 
1.4%
ValueCountFrequency (%)
4000 49
 
0.5%
2000 595
5.9%
1024 1
 
< 0.1%
1000 7
 
0.1%
500 38
 
0.4%
300 151
 
1.5%
250 2
 
< 0.1%
200 1357
13.6%
100 134
 
1.3%
64 3
 
< 0.1%

Interactions

2023-12-12T22:02:25.956397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:02:25.715015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:02:26.084977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:02:25.832416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:02:29.114878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호도메인유형구분데이터타입데이터길이
번호1.0000.2640.1580.216
도메인유형구분0.2641.0000.2490.191
데이터타입0.1580.2491.0000.106
데이터길이0.2160.1910.1061.000
2023-12-12T22:02:29.227244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터타입도메인유형구분
데이터타입1.0000.237
도메인유형구분0.2371.000
2023-12-12T22:02:29.320395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호데이터길이도메인유형구분데이터타입
번호1.0000.0380.1630.095
데이터길이0.0381.0000.1460.087
도메인유형구분0.1630.1461.0000.237
데이터타입0.0950.0870.2371.000

Missing values

2023-12-12T22:02:26.219758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:02:26.367642image/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

번호용어명도메인유형구분도메인명데이터타입데이터길이
41184119저장일자일반일자VC8VARCHAR8
1018010181절감여부일반여부VC1VARCHAR1
1046310464교육기관구분코드코드구분코드VC20VARCHAR20
17421743기준일자일반일자VC8VARCHAR8
80758076기간시간분류코드코드코드VC15VARCHAR15
75507551대표이메일일반이메일VC50VARCHAR50
1503815039미디어제작일자일반일자VC8VARCHAR8
1691716918사업장공사장지점명일반명VC200VARCHAR200
1339613397문자메시지발송번호번호번호VC11VARCHAR11
1266512666수당종류코드코드코드VC15VARCHAR15
번호용어명도메인유형구분도메인명데이터타입데이터길이
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