Overview

Dataset statistics

Number of variables7
Number of observations3103
Missing cells5564
Missing cells (%)25.6%
Duplicate rows366
Duplicate rows (%)11.8%
Total size in memory169.8 KiB
Average record size in memory56.0 B

Variable types

Categorical3
Text4

Dataset

Description안전검사 불합격 정보(사업장, 기기, 불합격 내역) 에 대한 정보입니다. 완료일자 기준 2022년 1월 1일 ~ 12월 31일
URLhttps://www.data.go.kr/data/15117506/fileData.do

Alerts

Dataset has 366 (11.8%) duplicate rowsDuplicates
대상품_대 is highly overall correlated with 대상품_중 and 1 other fieldsHigh correlation
대상품_중 is highly overall correlated with 대상품_대 and 1 other fieldsHigh correlation
대상품_소 is highly overall correlated with 대상품_대 and 1 other fieldsHigh correlation
불합격사유내용 has 2773 (89.4%) missing valuesMissing
조치사항지시내용 has 2788 (89.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:53:23.473685
Analysis finished2023-12-12 20:53:24.189232
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상품_대
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
크레인
1300 
리프트
948 
프레스
349 
고소작업대
299 
압력용기
 
57
Other values (7)
150 

Length

Max length6
Median length3
Mean length3.2478247
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row고소작업대
2nd row고소작업대
3rd row고소작업대
4th row고소작업대
5th row크레인

Common Values

ValueCountFrequency (%)
크레인 1300
41.9%
리프트 948
30.6%
프레스 349
 
11.2%
고소작업대 299
 
9.6%
압력용기 57
 
1.8%
전단기 54
 
1.7%
컨베이어 31
 
1.0%
산업용로봇 25
 
0.8%
사출성형기 15
 
0.5%
곤돌라 15
 
0.5%
Other values (2) 10
 
0.3%

Length

2023-12-13T05:53:24.242804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
크레인 1300
41.9%
리프트 948
30.6%
프레스 349
 
11.2%
고소작업대 299
 
9.6%
압력용기 57
 
1.8%
전단기 54
 
1.7%
컨베이어 31
 
1.0%
산업용로봇 25
 
0.8%
사출성형기 15
 
0.5%
곤돌라 15
 
0.5%
Other values (2) 10
 
0.3%

대상품_중
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
천장주행크레인
992 
일반작업용리프트
926 
기계 프레스
343 
고소작업대
299 
차량탑재형크레인
190 
Other values (15)
353 

Length

Max length9
Median length8
Mean length6.8095392
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row고소작업대
2nd row고소작업대
3rd row고소작업대
4th row고소작업대
5th row차량탑재형크레인

Common Values

ValueCountFrequency (%)
천장주행크레인 992
32.0%
일반작업용리프트 926
29.8%
기계 프레스 343
 
11.1%
고소작업대 299
 
9.6%
차량탑재형크레인 190
 
6.1%
압력용기 57
 
1.8%
전단기 54
 
1.7%
모노레일식호이스트 35
 
1.1%
갠트리크레인 32
 
1.0%
컨베이어 31
 
1.0%
Other values (10) 144
 
4.6%

Length

2023-12-13T05:53:24.555764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천장주행크레인 992
28.7%
일반작업용리프트 926
26.8%
프레스 349
 
10.1%
기계 343
 
9.9%
고소작업대 299
 
8.7%
차량탑재형크레인 190
 
5.5%
압력용기 57
 
1.7%
전단기 54
 
1.6%
모노레일식호이스트 35
 
1.0%
갠트리크레인 32
 
0.9%
Other values (11) 175
 
5.1%

대상품_소
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
천장
992 
권동식
681 
차량탑재형
489 
기계식
381 
유압식
251 
Other values (14)
309 

Length

Max length9
Median length8
Mean length3.0999033
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
천장 992
32.0%
권동식 681
21.9%
차량탑재형 489
15.8%
기계식 381
 
12.3%
유압식 251
 
8.1%
을종 57
 
1.8%
모노레일식호이스트 35
 
1.1%
갠트리 32
 
1.0%
컨베이어 31
 
1.0%
호이스트 29
 
0.9%
Other values (9) 125
 
4.0%

Length

2023-12-13T05:53:24.656633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천장 992
31.6%
권동식 681
21.7%
차량탑재형 489
15.6%
기계식 381
 
12.2%
유압식 251
 
8.0%
을종 57
 
1.8%
모노레일식호이스트 35
 
1.1%
갠트리 32
 
1.0%
컨베이어 31
 
1.0%
호이스트 29
 
0.9%
Other values (11) 157
 
5.0%

용량_단위
Text

Distinct126
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
2023-12-13T05:53:24.807159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.0783113
Min length5

Characters and Unicode

Total characters25067
Distinct characters24
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

Unique29 ?
Unique (%)0.9%

Sample

1st row0.1 (Ton)
2nd row0.1 (Ton)
3rd row0.1 (Ton)
4th row0.1 (Ton)
5th row3 (Ton)
ValueCountFrequency (%)
ton 2965
47.8%
2 418
 
6.7%
2.8 395
 
6.4%
5 280
 
4.5%
1 269
 
4.3%
0.3 232
 
3.7%
3 161
 
2.6%
0.5 150
 
2.4%
1.5 135
 
2.2%
10 126
 
2.0%
Other values (107) 1075
 
17.3%
2023-12-13T05:53:25.066990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 3103
12.4%
) 3103
12.4%
3103
12.4%
n 2966
11.8%
T 2965
11.8%
o 2965
11.8%
. 1342
5.4%
0 1149
 
4.6%
2 1100
 
4.4%
1 839
 
3.3%
Other values (14) 2432
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5997
23.9%
Decimal Number 5355
21.4%
Open Punctuation 3103
12.4%
Close Punctuation 3103
12.4%
Space Separator 3103
12.4%
Uppercase Letter 2980
11.9%
Other Punctuation 1343
 
5.4%
Other Symbol 58
 
0.2%
Other Letter 25
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1149
21.5%
2 1100
20.5%
1 839
15.7%
5 832
15.5%
3 524
9.8%
8 450
 
8.4%
6 219
 
4.1%
7 106
 
2.0%
4 105
 
2.0%
9 31
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
n 2966
49.5%
o 2965
49.4%
m 50
 
0.8%
k 15
 
0.3%
i 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
T 2965
99.5%
N 15
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 1342
99.9%
/ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3103
100.0%
Space Separator
ValueCountFrequency (%)
3103
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 58
100.0%
Other Letter
ValueCountFrequency (%)
대 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16065
64.1%
Latin 8977
35.8%
Hangul 25
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
( 3103
19.3%
) 3103
19.3%
3103
19.3%
. 1342
8.4%
0 1149
 
7.2%
2 1100
 
6.8%
1 839
 
5.2%
5 832
 
5.2%
3 524
 
3.3%
8 450
 
2.8%
Other values (6) 520
 
3.2%
Latin
ValueCountFrequency (%)
n 2966
33.0%
T 2965
33.0%
o 2965
33.0%
m 50
 
0.6%
k 15
 
0.2%
N 15
 
0.2%
i 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
대 25
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24984
99.7%
CJK Compat 58
 
0.2%
Hangul 25
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 3103
12.4%
) 3103
12.4%
3103
12.4%
n 2966
11.9%
T 2965
11.9%
o 2965
11.9%
. 1342
5.4%
0 1149
 
4.6%
2 1100
 
4.4%
1 839
 
3.4%
Other values (12) 2349
9.4%
CJK Compat
ValueCountFrequency (%)
㎥ 58
100.0%
Hangul
ValueCountFrequency (%)
대 25
100.0%

불합격항목명
Text

Distinct80
Distinct (%)2.6%
Missing3
Missing (%)0.1%
Memory size24.4 KiB
2023-12-13T05:53:25.266792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length6.1025806
Min length2

Characters and Unicode

Total characters18918
Distinct characters153
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.3%

Sample

1st row작업대의 허용위치
2nd row경사표시 장치
3rd row안정기
4th row기타
5th row권과방지장치
ValueCountFrequency (%)
방호장치 355
 
8.0%
권과방지장치 299
 
6.8%
비상정지장치 294
 
6.7%
과부하방지장치 271
 
6.1%
등 195
 
4.4%
훅 163
 
3.7%
해지장치 158
 
3.6%
운반구 151
 
3.4%
낙하방지장치 141
 
3.2%
승강로 139
 
3.1%
Other values (101) 2249
50.9%
2023-12-13T05:53:25.624588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 1996
 
10.6%
장 1896
 
10.0%
지 1625
 
8.6%
방 1355
 
7.2%
1315
 
7.0%
과 627
 
3.3%
정 483
 
2.6%
하 460
 
2.4%
호 393
 
2.1%
기 368
 
1.9%
Other values (143) 8400
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17553
92.8%
Space Separator 1315
 
7.0%
Close Punctuation 25
 
0.1%
Open Punctuation 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1996
 
11.4%
장 1896
 
10.8%
지 1625
 
9.3%
방 1355
 
7.7%
과 627
 
3.6%
정 483
 
2.8%
하 460
 
2.6%
호 393
 
2.2%
기 368
 
2.1%
상 347
 
2.0%
Other values (140) 8003
45.6%
Space Separator
ValueCountFrequency (%)
1315
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17553
92.8%
Common 1365
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1996
 
11.4%
장 1896
 
10.8%
지 1625
 
9.3%
방 1355
 
7.7%
과 627
 
3.6%
정 483
 
2.8%
하 460
 
2.6%
호 393
 
2.2%
기 368
 
2.1%
상 347
 
2.0%
Other values (140) 8003
45.6%
Common
ValueCountFrequency (%)
1315
96.3%
) 25
 
1.8%
( 25
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17553
92.8%
ASCII 1365
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 1996
 
11.4%
장 1896
 
10.8%
지 1625
 
9.3%
방 1355
 
7.7%
과 627
 
3.6%
정 483
 
2.8%
하 460
 
2.6%
호 393
 
2.2%
기 368
 
2.1%
상 347
 
2.0%
Other values (140) 8003
45.6%
ASCII
ValueCountFrequency (%)
1315
96.3%
) 25
 
1.8%
( 25
 
1.8%

불합격사유내용
Text

MISSING 

Distinct226
Distinct (%)68.5%
Missing2773
Missing (%)89.4%
Memory size24.4 KiB
2023-12-13T05:53:25.875027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length11.460606
Min length2

Characters and Unicode

Total characters3782
Distinct characters247
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

Unique180 ?
Unique (%)54.5%

Sample

1st row붐 안착감지 센서 미작동
2nd row턴테이블 점검 미실시
3rd row훅 해지장치 탈락
4th row비상정지장치 미작동
5th row기초앵커 부식, 볼트 풀림
ValueCountFrequency (%)
미설치 96
 
11.2%
기능상실 45
 
5.3%
과부하방지장치 25
 
2.9%
및 22
 
2.6%
비상정지장치 19
 
2.2%
불량 17
 
2.0%
와이어로프 17
 
2.0%
운반구 15
 
1.8%
탈락 13
 
1.5%
권과방지장치 12
 
1.4%
Other values (289) 576
67.2%
2023-12-13T05:53:26.315409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
527
 
13.9%
치 277
 
7.3%
미 145
 
3.8%
장 137
 
3.6%
지 118
 
3.1%
설 117
 
3.1%
상 101
 
2.7%
방 75
 
2.0%
기 75
 
2.0%
부 65
 
1.7%
Other values (237) 2145
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3170
83.8%
Space Separator 527
 
13.9%
Other Punctuation 37
 
1.0%
Decimal Number 21
 
0.6%
Uppercase Letter 12
 
0.3%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 277
 
8.7%
미 145
 
4.6%
장 137
 
4.3%
지 118
 
3.7%
설 117
 
3.7%
상 101
 
3.2%
방 75
 
2.4%
기 75
 
2.4%
부 65
 
2.1%
실 62
 
2.0%
Other values (220) 1998
63.0%
Decimal Number
ValueCountFrequency (%)
2 11
52.4%
1 7
33.3%
0 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 27
73.0%
. 5
 
13.5%
/ 4
 
10.8%
% 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
M 4
33.3%
L 4
33.3%
A 3
25.0%
S 1
 
8.3%
Space Separator
ValueCountFrequency (%)
527
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3170
83.8%
Common 600
 
15.9%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 277
 
8.7%
미 145
 
4.6%
장 137
 
4.3%
지 118
 
3.7%
설 117
 
3.7%
상 101
 
3.2%
방 75
 
2.4%
기 75
 
2.4%
부 65
 
2.1%
실 62
 
2.0%
Other values (220) 1998
63.0%
Common
ValueCountFrequency (%)
527
87.8%
, 27
 
4.5%
2 11
 
1.8%
) 7
 
1.2%
1 7
 
1.2%
( 7
 
1.2%
. 5
 
0.8%
/ 4
 
0.7%
0 1
 
0.2%
4 1
 
0.2%
Other values (3) 3
 
0.5%
Latin
ValueCountFrequency (%)
M 4
33.3%
L 4
33.3%
A 3
25.0%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3170
83.8%
ASCII 612
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
527
86.1%
, 27
 
4.4%
2 11
 
1.8%
) 7
 
1.1%
1 7
 
1.1%
( 7
 
1.1%
. 5
 
0.8%
M 4
 
0.7%
L 4
 
0.7%
/ 4
 
0.7%
Other values (7) 9
 
1.5%
Hangul
ValueCountFrequency (%)
치 277
 
8.7%
미 145
 
4.6%
장 137
 
4.3%
지 118
 
3.7%
설 117
 
3.7%
상 101
 
3.2%
방 75
 
2.4%
기 75
 
2.4%
부 65
 
2.1%
실 62
 
2.0%
Other values (220) 1998
63.0%

조치사항지시내용
Text

MISSING 

Distinct169
Distinct (%)53.7%
Missing2788
Missing (%)89.8%
Memory size24.4 KiB
2023-12-13T05:53:26.547467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length8.2063492
Min length1

Characters and Unicode

Total characters2585
Distinct characters209
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)38.7%

Sample

1st row붐 안착감지 센서 수리
2nd row턴테이블 점검 실시후 결과서 제출
3rd row훅 해지장치 설
4th row비상정지장치 수리
5th row기초앵커 보강 및 리볼팅
ValueCountFrequency (%)
설치 94
 
13.8%
교체 48
 
7.1%
보수 30
 
4.4%
수리 25
 
3.7%
것 19
 
2.8%
과부하방지장치 17
 
2.5%
설치할 16
 
2.4%
또는 15
 
2.2%
기능복구 14
 
2.1%
및 13
 
1.9%
Other values (202) 388
57.1%
2023-12-13T05:53:26.881615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
364
 
14.1%
치 242
 
9.4%
설 140
 
5.4%
지 86
 
3.3%
장 81
 
3.1%
체 72
 
2.8%
교 65
 
2.5%
수 59
 
2.3%
방 49
 
1.9%
보 42
 
1.6%
Other values (199) 1385
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2161
83.6%
Space Separator 364
 
14.1%
Other Punctuation 31
 
1.2%
Decimal Number 18
 
0.7%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 242
 
11.2%
설 140
 
6.5%
지 86
 
4.0%
장 81
 
3.7%
체 72
 
3.3%
교 65
 
3.0%
수 59
 
2.7%
방 49
 
2.3%
보 42
 
1.9%
구 42
 
1.9%
Other values (182) 1283
59.4%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
1 6
33.3%
0 1
 
5.6%
4 1
 
5.6%
3 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 15
48.4%
/ 8
25.8%
. 7
22.6%
% 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
t 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
364
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2161
83.6%
Common 420
 
16.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 242
 
11.2%
설 140
 
6.5%
지 86
 
4.0%
장 81
 
3.7%
체 72
 
3.3%
교 65
 
3.0%
수 59
 
2.7%
방 49
 
2.3%
보 42
 
1.9%
구 42
 
1.9%
Other values (182) 1283
59.4%
Common
ValueCountFrequency (%)
364
86.7%
, 15
 
3.6%
2 9
 
2.1%
/ 8
 
1.9%
. 7
 
1.7%
1 6
 
1.4%
) 3
 
0.7%
( 3
 
0.7%
- 1
 
0.2%
% 1
 
0.2%
Other values (3) 3
 
0.7%
Latin
ValueCountFrequency (%)
s 1
25.0%
t 1
25.0%
e 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2161
83.6%
ASCII 424
 
16.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
364
85.8%
, 15
 
3.5%
2 9
 
2.1%
/ 8
 
1.9%
. 7
 
1.7%
1 6
 
1.4%
) 3
 
0.7%
( 3
 
0.7%
- 1
 
0.2%
% 1
 
0.2%
Other values (7) 7
 
1.7%
Hangul
ValueCountFrequency (%)
치 242
 
11.2%
설 140
 
6.5%
지 86
 
4.0%
장 81
 
3.7%
체 72
 
3.3%
교 65
 
3.0%
수 59
 
2.7%
방 49
 
2.3%
보 42
 
1.9%
구 42
 
1.9%
Other values (182) 1283
59.4%

Correlations

2023-12-13T05:53:26.963776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상품_대대상품_중대상품_소불합격항목명
대상품_대1.0001.0000.9830.982
대상품_중1.0001.0000.9900.978
대상품_소0.9830.9901.0000.964
불합격항목명0.9820.9780.9641.000
2023-12-13T05:53:27.043374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상품_대대상품_소대상품_중
대상품_대1.0000.8990.999
대상품_소0.8991.0000.895
대상품_중0.9990.8951.000
2023-12-13T05:53:27.130193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상품_대대상품_중대상품_소
대상품_대1.0000.9990.899
대상품_중0.9991.0000.895
대상품_소0.8990.8951.000

Missing values

2023-12-13T05:53:23.976784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:53:24.067089image/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.
2023-12-13T05:53:24.143994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

대상품_대대상품_중대상품_소용량_단위불합격항목명불합격사유내용조치사항지시내용
0고소작업대고소작업대차량탑재형0.1 (Ton)작업대의 허용위치<NA><NA>
1고소작업대고소작업대차량탑재형0.1 (Ton)경사표시 장치<NA><NA>
2고소작업대고소작업대차량탑재형0.1 (Ton)안정기붐 안착감지 센서 미작동붐 안착감지 센서 수리
3고소작업대고소작업대차량탑재형0.1 (Ton)기타턴테이블 점검 미실시턴테이블 점검 실시후 결과서 제출
4크레인차량탑재형크레인차량탑재형3 (Ton)권과방지장치<NA><NA>
5크레인차량탑재형크레인차량탑재형3 (Ton)선회각도 제한스위치<NA><NA>
6크레인차량탑재형크레인차량탑재형3 (Ton)비상 정지장치<NA><NA>
7크레인차량탑재형크레인차량탑재형3 (Ton)훅 해지장치<NA><NA>
8크레인차량탑재형크레인차량탑재형3 (Ton)경사각 지시장치<NA><NA>
9크레인차량탑재형크레인차량탑재형3 (Ton)작업대 부착금지<NA><NA>
대상품_대대상품_중대상품_소용량_단위불합격항목명불합격사유내용조치사항지시내용
3093크레인차량탑재형크레인차량탑재형7.1 (Ton)훅 해지장치<NA><NA>
3094압력용기압력용기을종1.0 (㎥)압력방출장치<NA><NA>
3095압력용기압력용기을종1.0 (㎥)지지대 및 기초 볼트<NA><NA>
3096컨베이어컨베이어컨베이어69.7 (m)기타방호조치 미흡보완조치
3097크레인천장주행크레인천장2.8 (Ton)체인<NA><NA>
3098크레인천장주행크레인천장2.8 (Ton)와이어로프<NA><NA>
3099리프트일반작업용리프트권동식1 (Ton)운반구<NA><NA>
3100리프트일반작업용리프트권동식1 (Ton)승강로<NA><NA>
3101크레인천장주행크레인천장2.8 (Ton)체인<NA><NA>
3102크레인천장주행크레인천장2.8 (Ton)와이어로프와이어로프 손선 파단와이어로프 교체

Duplicate rows

Most frequently occurring

대상품_대대상품_중대상품_소용량_단위불합격항목명불합격사유내용조치사항지시내용# duplicates
244크레인천장주행크레인천장2.8 (Ton)체인<NA><NA>44
245크레인천장주행크레인천장2.8 (Ton)충돌방지장치<NA><NA>41
246크레인천장주행크레인천장2.8 (Ton)훅 해지장치<NA><NA>40
233크레인천장주행크레인천장2.8 (Ton)권과방지장치<NA><NA>38
231크레인천장주행크레인천장2.8 (Ton)과부하방지장치<NA><NA>36
238크레인천장주행크레인천장2.8 (Ton)비상정지장치<NA><NA>36
240크레인천장주행크레인천장2.8 (Ton)와이어로프<NA><NA>34
277크레인천장주행크레인천장5 (Ton)체인<NA><NA>32
243크레인천장주행크레인천장2.8 (Ton)정지기구<NA><NA>29
278크레인천장주행크레인천장5 (Ton)충돌방지장치<NA><NA>27