Overview

Dataset statistics

Number of variables9
Number of observations4539
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory337.0 KiB
Average record size in memory76.0 B

Variable types

Numeric4
Categorical3
Text2

Dataset

Description본 데이터는 신뢰성기반활용지원사업에서 이용할 수 있는 신뢰성 지원 서비스 항목임. 신뢰성 평가를 진행할 수 있는 인프라(장비, 인력)가 구축된 연구소 또는 신뢰성센터에서 신뢰성 향상 및 소재 개발 지원 등을 받을 수 있음. 제품의 고장 분석, 내구성 수명 연장 등 신뢰성 향상을 중점 지원하고 추후 시험성적서 또는 인증서 취득이 가능함
URLhttps://www.data.go.kr/data/15118039/fileData.do

Alerts

금액구분 has constant value ""Constant
대분류명 is highly overall correlated with 대분류 and 2 other fieldsHigh correlation
중분류명 is highly overall correlated with 대분류 and 2 other fieldsHigh correlation
대분류 is highly overall correlated with 중분류 and 2 other fieldsHigh correlation
중분류 is highly overall correlated with 대분류 and 2 other fieldsHigh correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:08:49.473713
Analysis finished2023-12-12 20:08:52.583951
Duration3.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4539
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2273.725
Minimum1
Maximum4557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.0 KiB
2023-12-13T05:08:52.659373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile227.9
Q11135.5
median2270
Q33408.5
95-th percentile4330.1
Maximum4557
Range4556
Interquartile range (IQR)2273

Descriptive statistics

Standard deviation1315.438
Coefficient of variation (CV)0.57853874
Kurtosis-1.1973418
Mean2273.725
Median Absolute Deviation (MAD)1137
Skewness0.0072793034
Sum10320438
Variance1730377.2
MonotonicityStrictly increasing
2023-12-13T05:08:52.791622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3025 1
 
< 0.1%
3031 1
 
< 0.1%
3030 1
 
< 0.1%
3029 1
 
< 0.1%
3028 1
 
< 0.1%
3027 1
 
< 0.1%
3026 1
 
< 0.1%
3024 1
 
< 0.1%
3033 1
 
< 0.1%
Other values (4529) 4529
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4557 1
< 0.1%
4556 1
< 0.1%
4555 1
< 0.1%
4554 1
< 0.1%
4553 1
< 0.1%
4552 1
< 0.1%
4551 1
< 0.1%
4550 1
< 0.1%
4549 1
< 0.1%
4548 1
< 0.1%

대분류
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2106191
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.0 KiB
2023-12-13T05:08:52.894342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6963555
Coefficient of variation (CV)0.7673667
Kurtosis0.30463062
Mean2.2106191
Median Absolute Deviation (MAD)0
Skewness1.1692703
Sum10034
Variance2.8776219
MonotonicityNot monotonic
2023-12-13T05:08:52.992518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 2667
58.8%
4 1056
 
23.3%
2 394
 
8.7%
6 165
 
3.6%
7 137
 
3.0%
3 97
 
2.1%
5 23
 
0.5%
ValueCountFrequency (%)
1 2667
58.8%
2 394
 
8.7%
3 97
 
2.1%
4 1056
 
23.3%
5 23
 
0.5%
6 165
 
3.6%
7 137
 
3.0%
ValueCountFrequency (%)
7 137
 
3.0%
6 165
 
3.6%
5 23
 
0.5%
4 1056
 
23.3%
3 97
 
2.1%
2 394
 
8.7%
1 2667
58.8%

대분류명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.6 KiB
신뢰성평가
2667 
물성성능분석
1056 
고장분석
394 
가상공학시뮬레이션
 
165
소재및공정테스트베드
 
137
Other values (2)
 
120

Length

Max length10
Median length5
Mean length5.4787398
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신뢰성평가 2667
58.8%
물성성능분석 1056
 
23.3%
고장분석 394
 
8.7%
가상공학시뮬레이션 165
 
3.6%
소재및공정테스트베드 137
 
3.0%
평가기법개발 97
 
2.1%
데이터및기술정보 23
 
0.5%

Length

2023-12-13T05:08:53.112121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:08:53.218281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신뢰성평가 2667
58.8%
물성성능분석 1056
 
23.3%
고장분석 394
 
8.7%
가상공학시뮬레이션 165
 
3.6%
소재및공정테스트베드 137
 
3.0%
평가기법개발 97
 
2.1%
데이터및기술정보 23
 
0.5%

중분류
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.40405
Minimum101
Maximum702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.0 KiB
2023-12-13T05:08:53.334655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile103
Q1108
median112
Q3402
95-th percentile602
Maximum702
Range601
Interquartile range (IQR)294

Descriptive statistics

Standard deviation167.86246
Coefficient of variation (CV)0.73816827
Kurtosis0.30594035
Mean227.40405
Median Absolute Deviation (MAD)7
Skewness1.1746005
Sum1032187
Variance28177.805
MonotonicityNot monotonic
2023-12-13T05:08:53.466816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
109 733
16.1%
112 440
 
9.7%
402 338
 
7.4%
105 289
 
6.4%
107 287
 
6.3%
201 270
 
5.9%
407 176
 
3.9%
114 175
 
3.9%
106 173
 
3.8%
409 166
 
3.7%
Other values (30) 1492
32.9%
ValueCountFrequency (%)
101 116
 
2.6%
102 56
 
1.2%
103 157
 
3.5%
104 39
 
0.9%
105 289
 
6.4%
106 173
 
3.8%
107 287
 
6.3%
108 88
 
1.9%
109 733
16.1%
110 32
 
0.7%
ValueCountFrequency (%)
702 58
1.3%
701 79
1.7%
603 61
1.3%
602 50
1.1%
601 54
1.2%
503 1
 
< 0.1%
502 7
 
0.2%
501 15
 
0.3%
411 61
1.3%
410 9
 
0.2%

중분류명
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size35.6 KiB
환경시험
733 
신뢰성 평가 및 인증
440 
물리특성시험
338 
전자파특성시험
289 
품목별패키지시험
287 
Other values (35)
2452 

Length

Max length12
Median length10
Mean length6.7929059
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row건설자재및교량받침시험
2nd row건설자재및교량받침시험
3rd row환경시험
4th row전자파특성시험
5th row환경시험

Common Values

ValueCountFrequency (%)
환경시험 733
16.1%
신뢰성 평가 및 인증 440
 
9.7%
물리특성시험 338
 
7.4%
전자파특성시험 289
 
6.4%
품목별패키지시험 287
 
6.3%
불량원인분석 270
 
5.9%
소재시험평가 176
 
3.9%
자동차시험 175
 
3.9%
기계내구성평가 173
 
3.8%
품목별시험 166
 
3.7%
Other values (30) 1492
32.9%

Length

2023-12-13T05:08:53.619473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
환경시험 733
 
12.4%
신뢰성 440
 
7.5%
평가 440
 
7.5%
및 440
 
7.5%
인증 440
 
7.5%
물리특성시험 338
 
5.7%
전자파특성시험 289
 
4.9%
품목별패키지시험 287
 
4.9%
불량원인분석 270
 
4.6%
소재시험평가 176
 
3.0%
Other values (33) 2038
34.6%

서비스명
Text

Distinct1772
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size35.6 KiB
2023-12-13T05:08:53.823793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length61
Mean length18.836748
Min length10

Characters and Unicode

Total characters85500
Distinct characters600
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique807 ?
Unique (%)17.8%

Sample

1st row촉진내후성시험(1010404)
2nd row압축강도시험(1010906)
3rd row체적저항(1090164)
4th rowESD(1050229)
5th row납(Pb)시험(1091410)
ValueCountFrequency (%)
내·외장재 49
 
1.0%
자동차 49
 
1.0%
염수분무시험(1090148 20
 
0.4%
인장시험(1060421 20
 
0.4%
항온항습시험(1090167 20
 
0.4%
진동시험(1090163 18
 
0.4%
복합진동시험(1090134 17
 
0.3%
시험 17
 
0.3%
분석 16
 
0.3%
및 16
 
0.3%
Other values (1850) 4763
95.2%
2023-12-13T05:08:54.207093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10888
 
12.7%
1 7848
 
9.2%
( 5426
 
6.3%
) 5426
 
6.3%
2 3860
 
4.5%
4 2492
 
2.9%
시 1979
 
2.3%
3 1835
 
2.1%
험 1724
 
2.0%
9 1427
 
1.7%
Other values (590) 42595
49.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32748
38.3%
Other Letter 32007
37.4%
Open Punctuation 5426
 
6.3%
Close Punctuation 5426
 
6.3%
Lowercase Letter 4115
 
4.8%
Uppercase Letter 3779
 
4.4%
Other Punctuation 884
 
1.0%
Dash Punctuation 569
 
0.7%
Space Separator 484
 
0.6%
Math Symbol 31
 
< 0.1%
Other values (2) 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1979
 
6.2%
험 1724
 
5.4%
성 1032
 
3.2%
석 856
 
2.7%
분 847
 
2.6%
도 718
 
2.2%
기 597
 
1.9%
가 566
 
1.8%
내 511
 
1.6%
수 416
 
1.3%
Other values (512) 22761
71.1%
Lowercase Letter
ValueCountFrequency (%)
e 469
11.4%
t 386
 
9.4%
a 350
 
8.5%
i 323
 
7.8%
o 311
 
7.6%
n 307
 
7.5%
l 287
 
7.0%
r 280
 
6.8%
s 206
 
5.0%
c 185
 
4.5%
Other values (16) 1011
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 473
12.5%
E 369
 
9.8%
D 306
 
8.1%
C 275
 
7.3%
M 257
 
6.8%
T 250
 
6.6%
A 226
 
6.0%
I 216
 
5.7%
P 193
 
5.1%
R 186
 
4.9%
Other values (15) 1028
27.2%
Decimal Number
ValueCountFrequency (%)
0 10888
33.2%
1 7848
24.0%
2 3860
 
11.8%
4 2492
 
7.6%
3 1835
 
5.6%
9 1427
 
4.4%
5 1405
 
4.3%
6 1170
 
3.6%
7 1163
 
3.6%
8 660
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 423
47.9%
/ 275
31.1%
· 59
 
6.7%
& 55
 
6.2%
; 41
 
4.6%
: 21
 
2.4%
? 7
 
0.8%
. 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 15
48.4%
~ 13
41.9%
→ 3
 
9.7%
Open Punctuation
ValueCountFrequency (%)
( 5426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%
Space Separator
ValueCountFrequency (%)
484
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45599
53.3%
Hangul 32006
37.4%
Latin 7894
 
9.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1979
 
6.2%
험 1724
 
5.4%
성 1032
 
3.2%
석 856
 
2.7%
분 847
 
2.6%
도 718
 
2.2%
기 597
 
1.9%
가 566
 
1.8%
내 511
 
1.6%
수 416
 
1.3%
Other values (511) 22760
71.1%
Latin
ValueCountFrequency (%)
S 473
 
6.0%
e 469
 
5.9%
t 386
 
4.9%
E 369
 
4.7%
a 350
 
4.4%
i 323
 
4.1%
o 311
 
3.9%
n 307
 
3.9%
D 306
 
3.9%
l 287
 
3.6%
Other values (41) 4313
54.6%
Common
ValueCountFrequency (%)
0 10888
23.9%
1 7848
17.2%
( 5426
11.9%
) 5426
11.9%
2 3860
 
8.5%
4 2492
 
5.5%
3 1835
 
4.0%
9 1427
 
3.1%
5 1405
 
3.1%
6 1170
 
2.6%
Other values (17) 3822
 
8.4%
Han
ValueCountFrequency (%)
光 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53413
62.5%
Hangul 32006
37.4%
None 59
 
0.1%
Letterlike Symbols 18
 
< 0.1%
Arrows 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10888
20.4%
1 7848
14.7%
( 5426
10.2%
) 5426
10.2%
2 3860
 
7.2%
4 2492
 
4.7%
3 1835
 
3.4%
9 1427
 
2.7%
5 1405
 
2.6%
6 1170
 
2.2%
Other values (65) 11636
21.8%
Hangul
ValueCountFrequency (%)
시 1979
 
6.2%
험 1724
 
5.4%
성 1032
 
3.2%
석 856
 
2.7%
분 847
 
2.6%
도 718
 
2.2%
기 597
 
1.9%
가 566
 
1.8%
내 511
 
1.6%
수 416
 
1.3%
Other values (511) 22760
71.1%
None
ValueCountFrequency (%)
· 59
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 18
100.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
CJK
ValueCountFrequency (%)
光 1
100.0%

단위
Text

Distinct78
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size35.6 KiB
2023-12-13T05:08:54.384783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length1.3258427
Min length1

Characters and Unicode

Total characters6018
Distinct characters97
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

Unique32 ?
Unique (%)0.7%

Sample

1st row시간
2nd row회
3rd row회
4th row회
5th row건
ValueCountFrequency (%)
건 2323
51.0%
시간 807
 
17.7%
회 566
 
12.4%
개 277
 
6.1%
일 72
 
1.6%
시료 61
 
1.3%
ea 60
 
1.3%
협의 59
 
1.3%
day 37
 
0.8%
종 26
 
0.6%
Other values (64) 270
 
5.9%
2023-12-13T05:08:54.748266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 2336
38.8%
시 886
 
14.7%
간 823
 
13.7%
회 577
 
9.6%
개 278
 
4.6%
a 81
 
1.3%
일 77
 
1.3%
료 71
 
1.2%
협 59
 
1.0%
의 59
 
1.0%
Other values (87) 771
 
12.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5431
90.2%
Lowercase Letter 325
 
5.4%
Uppercase Letter 132
 
2.2%
Decimal Number 77
 
1.3%
Other Punctuation 20
 
0.3%
Space Separator 19
 
0.3%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 2336
43.0%
시 886
 
16.3%
간 823
 
15.2%
회 577
 
10.6%
개 278
 
5.1%
일 77
 
1.4%
료 71
 
1.3%
협 59
 
1.1%
의 59
 
1.1%
종 28
 
0.5%
Other values (41) 237
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 81
24.9%
h 52
16.0%
e 47
14.5%
y 39
12.0%
d 33
10.2%
r 19
 
5.8%
o 11
 
3.4%
t 9
 
2.8%
n 8
 
2.5%
i 8
 
2.5%
Other values (7) 18
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
E 28
21.2%
A 22
16.7%
D 19
14.4%
M 12
9.1%
T 10
 
7.6%
P 8
 
6.1%
I 6
 
4.5%
N 6
 
4.5%
O 6
 
4.5%
C 5
 
3.8%
Other values (4) 10
 
7.6%
Decimal Number
ValueCountFrequency (%)
0 25
32.5%
1 20
26.0%
8 13
16.9%
5 6
 
7.8%
2 6
 
7.8%
4 4
 
5.2%
6 2
 
2.6%
3 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 12
60.0%
, 5
25.0%
* 2
 
10.0%
% 1
 
5.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5431
90.2%
Latin 457
 
7.6%
Common 130
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 2336
43.0%
시 886
 
16.3%
간 823
 
15.2%
회 577
 
10.6%
개 278
 
5.1%
일 77
 
1.4%
료 71
 
1.3%
협 59
 
1.1%
의 59
 
1.1%
종 28
 
0.5%
Other values (41) 237
 
4.4%
Latin
ValueCountFrequency (%)
a 81
17.7%
h 52
11.4%
e 47
10.3%
y 39
 
8.5%
d 33
 
7.2%
E 28
 
6.1%
A 22
 
4.8%
r 19
 
4.2%
D 19
 
4.2%
M 12
 
2.6%
Other values (21) 105
23.0%
Common
ValueCountFrequency (%)
0 25
19.2%
1 20
15.4%
19
14.6%
8 13
10.0%
/ 12
9.2%
( 7
 
5.4%
) 7
 
5.4%
5 6
 
4.6%
2 6
 
4.6%
, 5
 
3.8%
Other values (5) 10
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5431
90.2%
ASCII 587
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 2336
43.0%
시 886
 
16.3%
간 823
 
15.2%
회 577
 
10.6%
개 278
 
5.1%
일 77
 
1.4%
료 71
 
1.3%
협 59
 
1.1%
의 59
 
1.1%
종 28
 
0.5%
Other values (41) 237
 
4.4%
ASCII
ValueCountFrequency (%)
a 81
 
13.8%
h 52
 
8.9%
e 47
 
8.0%
y 39
 
6.6%
d 33
 
5.6%
E 28
 
4.8%
0 25
 
4.3%
A 22
 
3.7%
1 20
 
3.4%
r 19
 
3.2%
Other values (36) 221
37.6%

금액구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.6 KiB
금액
4539 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금액 4539
100.0%

Length

2023-12-13T05:08:54.916580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:08:55.019752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금액 4539
100.0%

금액
Real number (ℝ)

Distinct453
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2093670.9
Minimum0
Maximum1.5 × 108
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size40.0 KiB
2023-12-13T05:08:55.165533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7000
Q135000
median100000
Q3500000
95-th percentile10000000
Maximum1.5 × 108
Range1.5 × 108
Interquartile range (IQR)465000

Descriptive statistics

Standard deviation7890040.1
Coefficient of variation (CV)3.7685198
Kurtosis111.17358
Mean2093670.9
Median Absolute Deviation (MAD)90000
Skewness8.5986627
Sum9.5031721 × 109
Variance6.2252732 × 1013
MonotonicityNot monotonic
2023-12-13T05:08:55.350121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 571
 
12.6%
50000 273
 
6.0%
200000 256
 
5.6%
10000 244
 
5.4%
1000000 162
 
3.6%
30000 161
 
3.5%
20000 154
 
3.4%
300000 146
 
3.2%
10000000 133
 
2.9%
500000 122
 
2.7%
Other values (443) 2317
51.0%
ValueCountFrequency (%)
0 11
0.2%
500 4
 
0.1%
1000 3
 
0.1%
1500 4
 
0.1%
2000 5
 
0.1%
2500 1
 
< 0.1%
3000 17
0.4%
4000 13
0.3%
4470 1
 
< 0.1%
4500 1
 
< 0.1%
ValueCountFrequency (%)
150000000 3
 
0.1%
100000000 2
 
< 0.1%
80000000 3
 
0.1%
70000000 1
 
< 0.1%
65000000 1
 
< 0.1%
60000000 2
 
< 0.1%
53000000 1
 
< 0.1%
50000000 33
0.7%
40000000 3
 
0.1%
36950001 1
 
< 0.1%

Interactions

2023-12-13T05:08:51.590661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.302696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.669768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:51.076929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:51.705438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.390131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.756166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:51.181906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:51.810560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.481389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.870277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:51.310203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:51.928520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.572109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:50.969762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:51.453658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:08:55.468265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대분류대분류명중분류중분류명단위금액
번호1.0000.2530.2530.2540.5450.5370.090
대분류0.2531.0001.0001.0001.0000.4680.271
대분류명0.2531.0001.0001.0001.0000.4680.271
중분류0.2541.0001.0001.0001.0000.4490.383
중분류명0.5451.0001.0001.0001.0000.7010.597
단위0.5370.4680.4680.4490.7011.0000.000
금액0.0900.2710.2710.3830.5970.0001.000
2023-12-13T05:08:55.579765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류명중분류명
대분류명1.0000.996
중분류명0.9961.000
2023-12-13T05:08:55.670163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대분류중분류금액대분류명중분류명
번호1.0000.1570.153-0.0130.1310.203
대분류0.1571.0000.8880.0051.0000.996
중분류0.1530.8881.0000.0671.0000.996
금액-0.0130.0050.0671.0000.1480.255
대분류명0.1311.0001.0000.1481.0000.996
중분류명0.2030.9960.9960.2550.9961.000

Missing values

2023-12-13T05:08:52.375847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:08:52.522061image/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

번호대분류대분류명중분류중분류명서비스명단위금액구분금액
011신뢰성평가101건설자재및교량받침시험촉진내후성시험(1010404)시간금액10000
121신뢰성평가101건설자재및교량받침시험압축강도시험(1010906)회금액20000
231신뢰성평가109환경시험체적저항(1090164)회금액500000
341신뢰성평가105전자파특성시험ESD(1050229)회금액100000
451신뢰성평가109환경시험납(Pb)시험(1091410)건금액17500
561신뢰성평가109환경시험프탈레이트계가소제시험(1091428)건금액185000
671신뢰성평가112신뢰성 평가 및 인증습식세균침투저항성(1120321)건금액900000
784물성성능분석402물리특성시험투습저항도(4020507)건금액250000
894물성성능분석409품목별시험형광증백제(4090812)건금액10000
9101신뢰성평가101건설자재및교량받침시험소재부품피로특성분석(1010903)시간금액300000
번호대분류대분류명중분류중분류명서비스명단위금액구분금액
452945484물성성능분석402물리특성시험흡수도(흡수속도)(4020509)건금액7000
453045494물성성능분석402물리특성시험슬라이드파스너(지퍼)(4020602)건금액100000
453145504물성성능분석402물리특성시험파스너테이프(4020603)건금액100000
453245514물성성능분석406성능평가건조속도(4060301)건금액20000
453345524물성성능분석406성능평가보온성(4060310)건금액50000
453445532고장분석203기타고장분석미지소재종합분석(2030103)건금액1000000
453545544물성성능분석406성능평가복합환경(투습저항)(4060311)건금액150000
453645554물성성능분석406성능평가투습도시험(4060321)건금액30000
453745564물성성능분석406성능평가표면습윤저항성(4060322)건금액5000
453845574물성성능분석406성능평가흡습발열(4060326)건금액100000