Overview

Dataset statistics

Number of variables10
Number of observations1247
Missing cells2038
Missing cells (%)16.3%
Duplicate rows72
Duplicate rows (%)5.8%
Total size in memory100.0 KiB
Average record size in memory82.1 B

Variable types

Categorical5
Numeric2
Text3

Dataset

Description한국지역난방공사의 발전설비의 국산화 진행 현황에 대한 정보로 사업소명, 자재번호, 기기명, 설비위치, 부품명, 규격, 재질에 대한 정보를 확인할 수 있습니다.
Author한국지역난방공사
URLhttps://www.data.go.kr/data/15090337/fileData.do

Alerts

사업소명 has constant value ""Constant
기기명 has constant value ""Constant
Dataset has 72 (5.8%) duplicate rowsDuplicates
국산화 계획 is highly overall correlated with 재질High correlation
국산화 실적 is highly overall correlated with 자재번호 and 2 other fieldsHigh correlation
재질 is highly overall correlated with 자재번호 and 2 other fieldsHigh correlation
자재번호 is highly overall correlated with 재질 and 1 other fieldsHigh correlation
설치수량 is highly overall correlated with 국산화 실적High correlation
재질 is highly imbalanced (74.0%)Imbalance
자재번호 has 811 (65.0%) missing valuesMissing
규격 has 402 (32.2%) missing valuesMissing
설치수량 has 819 (65.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:06:44.645684
Analysis finished2023-12-12 14:06:46.051647
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업소명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
화성지사
1247 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성지사 1247
100.0%

Length

2023-12-12T23:06:46.144803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:06:46.266960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성지사 1247
100.0%

자재번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct424
Distinct (%)97.2%
Missing811
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean4013027.7
Minimum3008780
Maximum4104665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T23:06:46.408241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3008780
5-th percentile4001548.8
Q14007246.8
median4008642
Q34015561.2
95-th percentile4104647.2
Maximum4104665
Range1095885
Interquartile range (IQR)8314.5

Descriptive statistics

Standard deviation73521.634
Coefficient of variation (CV)0.018320739
Kurtosis159.45886
Mean4013027.7
Median Absolute Deviation (MAD)2266
Skewness-11.603108
Sum1.7496801 × 109
Variance5.4054306 × 109
MonotonicityNot monotonic
2023-12-12T23:06:46.562407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4008642 5
 
0.4%
4104657 2
 
0.2%
4010809 2
 
0.2%
4010813 2
 
0.2%
4019870 2
 
0.2%
4018877 2
 
0.2%
4104661 2
 
0.2%
4104658 2
 
0.2%
4104662 2
 
0.2%
4001542 1
 
0.1%
Other values (414) 414
33.2%
(Missing) 811
65.0%
ValueCountFrequency (%)
3008780 1
0.1%
3008781 1
0.1%
4000033 1
0.1%
4000042 1
0.1%
4000043 1
0.1%
4001230 1
0.1%
4001242 1
0.1%
4001248 1
0.1%
4001506 1
0.1%
4001523 1
0.1%
ValueCountFrequency (%)
4104665 1
0.1%
4104664 1
0.1%
4104663 1
0.1%
4104662 2
0.2%
4104661 2
0.2%
4104660 1
0.1%
4104659 1
0.1%
4104658 2
0.2%
4104657 2
0.2%
4104656 1
0.1%

기기명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
가스터빈
1247 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가스터빈 1247
100.0%

Length

2023-12-12T23:06:46.687366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:06:46.772808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가스터빈 1247
100.0%

설치위치
Text

Distinct100
Distinct (%)8.1%
Missing6
Missing (%)0.5%
Memory size9.9 KiB
2023-12-12T23:06:47.042737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length44
Mean length27.91942
Min length9

Characters and Unicode

Total characters34648
Distinct characters52
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.5%

Sample

1st rowFUEL GAS MANIFOLD PIPING AROUND COMBUSTOR
2nd rowFUEL GAS MANIFOLD PIPING AROUND COMBUSTOR
3rd rowFUEL GAS MANIFOLD PIPING AROUND COMBUSTOR
4th rowFUEL GAS MANIFOLD PIPING AROUND COMBUSTOR
5th rowFUEL GAS MANIFOLD PIPING AROUND COMBUSTOR
ValueCountFrequency (%)
ass'y 953
 
16.7%
199
 
3.5%
piping 194
 
3.4%
turb 188
 
3.3%
ring 183
 
3.2%
blade 167
 
2.9%
cylinder 165
 
2.9%
air 141
 
2.5%
turbine 131
 
2.3%
section 126
 
2.2%
Other values (140) 3272
57.2%
2023-12-12T23:06:47.489575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4667
 
13.5%
S 3148
 
9.1%
A 2592
 
7.5%
I 2137
 
6.2%
E 1955
 
5.6%
R 1877
 
5.4%
O 1799
 
5.2%
N 1758
 
5.1%
L 1424
 
4.1%
T 1379
 
4.0%
Other values (42) 11912
34.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 27080
78.2%
Space Separator 4668
 
13.5%
Other Punctuation 1769
 
5.1%
Decimal Number 421
 
1.2%
Open Punctuation 291
 
0.8%
Close Punctuation 291
 
0.8%
Dash Punctuation 100
 
0.3%
Math Symbol 23
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 3148
11.6%
A 2592
 
9.6%
I 2137
 
7.9%
E 1955
 
7.2%
R 1877
 
6.9%
O 1799
 
6.6%
N 1758
 
6.5%
L 1424
 
5.3%
T 1379
 
5.1%
Y 1238
 
4.6%
Other values (15) 7773
28.7%
Decimal Number
ValueCountFrequency (%)
1 127
30.2%
2 102
24.2%
3 71
16.9%
4 56
13.3%
6 16
 
3.8%
7 14
 
3.3%
0 14
 
3.3%
9 7
 
1.7%
5 7
 
1.7%
8 7
 
1.7%
Other Punctuation
ValueCountFrequency (%)
' 953
53.9%
. 431
24.4%
& 166
 
9.4%
, 92
 
5.2%
/ 78
 
4.4%
# 49
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
p 1
20.0%
a 1
20.0%
s 1
20.0%
t 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
4667
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Math Symbol
ValueCountFrequency (%)
～ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27085
78.2%
Common 7563
 
21.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 3148
11.6%
A 2592
 
9.6%
I 2137
 
7.9%
E 1955
 
7.2%
R 1877
 
6.9%
O 1799
 
6.6%
N 1758
 
6.5%
L 1424
 
5.3%
T 1379
 
5.1%
Y 1238
 
4.6%
Other values (20) 7778
28.7%
Common
ValueCountFrequency (%)
4667
61.7%
' 953
 
12.6%
. 431
 
5.7%
( 291
 
3.8%
) 291
 
3.8%
& 166
 
2.2%
1 127
 
1.7%
2 102
 
1.3%
- 100
 
1.3%
, 92
 
1.2%
Other values (12) 343
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34624
99.9%
None 24
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4667
 
13.5%
S 3148
 
9.1%
A 2592
 
7.5%
I 2137
 
6.2%
E 1955
 
5.6%
R 1877
 
5.4%
O 1799
 
5.2%
N 1758
 
5.1%
L 1424
 
4.1%
T 1379
 
4.0%
Other values (40) 11888
34.3%
None
ValueCountFrequency (%)
～ 23
95.8%
　 1
 
4.2%

부품명
Text

Distinct319
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-12T23:06:47.789318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length27
Mean length13.451484
Min length3

Characters and Unicode

Total characters16774
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)14.3%

Sample

1st rowSTUD BOLTS
2nd rowSTUD BOLTS
3rd rowSTUD BOLTS
4th rowSTUD BOLTS
5th rowSTUD BOLTS
ValueCountFrequency (%)
hex 274
 
8.7%
bolt 196
 
6.2%
head 138
 
4.4%
soc 131
 
4.2%
nut 129
 
4.1%
screw 127
 
4.0%
washer 109
 
3.5%
cap 100
 
3.2%
seal 92
 
2.9%
plate 92
 
2.9%
Other values (288) 1768
56.0%
2023-12-12T23:06:48.181462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1976
 
11.8%
E 1616
 
9.6%
S 1349
 
8.0%
A 1062
 
6.3%
T 1020
 
6.1%
L 984
 
5.9%
O 921
 
5.5%
H 855
 
5.1%
N 744
 
4.4%
R 687
 
4.1%
Other values (37) 5560
33.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 13945
83.1%
Space Separator 1976
 
11.8%
Decimal Number 221
 
1.3%
Close Punctuation 185
 
1.1%
Open Punctuation 185
 
1.1%
Other Punctuation 143
 
0.9%
Dash Punctuation 114
 
0.7%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 1616
 
11.6%
S 1349
 
9.7%
A 1062
 
7.6%
T 1020
 
7.3%
L 984
 
7.1%
O 921
 
6.6%
H 855
 
6.1%
N 744
 
5.3%
R 687
 
4.9%
C 660
 
4.7%
Other values (16) 4047
29.0%
Decimal Number
ValueCountFrequency (%)
1 69
31.2%
2 42
19.0%
3 28
12.7%
4 22
 
10.0%
6 16
 
7.2%
5 11
 
5.0%
0 11
 
5.0%
7 9
 
4.1%
9 7
 
3.2%
8 6
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 123
86.0%
/ 9
 
6.3%
& 6
 
4.2%
, 3
 
2.1%
' 2
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 184
99.5%
（ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1976
100.0%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13945
83.1%
Common 2829
 
16.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 1616
 
11.6%
S 1349
 
9.7%
A 1062
 
7.6%
T 1020
 
7.3%
L 984
 
7.1%
O 921
 
6.6%
H 855
 
6.1%
N 744
 
5.3%
R 687
 
4.9%
C 660
 
4.7%
Other values (16) 4047
29.0%
Common
ValueCountFrequency (%)
1976
69.8%
) 185
 
6.5%
( 184
 
6.5%
. 123
 
4.3%
- 114
 
4.0%
1 69
 
2.4%
2 42
 
1.5%
3 28
 
1.0%
4 22
 
0.8%
6 16
 
0.6%
Other values (11) 70
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16773
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1976
 
11.8%
E 1616
 
9.6%
S 1349
 
8.0%
A 1062
 
6.3%
T 1020
 
6.1%
L 984
 
5.9%
O 921
 
5.5%
H 855
 
5.1%
N 744
 
4.4%
R 687
 
4.1%
Other values (36) 5559
33.1%
None
ValueCountFrequency (%)
（ 1
100.0%

규격
Text

MISSING 

Distinct398
Distinct (%)47.1%
Missing402
Missing (%)32.2%
Memory size9.9 KiB
2023-12-12T23:06:48.417252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length7.6485207
Min length1

Characters and Unicode

Total characters6463
Distinct characters41
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)30.3%

Sample

1st row1-8UNC X 200
2nd row1-8UNC X 230
3rd row5/8-11UNC X 150
4th row5/8-11UNC X 120
5th row5/8-11UNC X 100
ValueCountFrequency (%)
x 497
24.5%
w 74
 
3.6%
m16 69
 
3.4%
m20 68
 
3.3%
m12 55
 
2.7%
m24 53
 
2.6%
3 45
 
2.2%
2 42
 
2.1%
1 39
 
1.9%
t 30
 
1.5%
Other values (298) 1058
52.1%
2023-12-12T23:06:48.780559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1193
18.5%
1 664
10.3%
0 579
 
9.0%
X 497
 
7.7%
2 467
 
7.2%
M 409
 
6.3%
5 373
 
5.8%
3 341
 
5.3%
4 230
 
3.6%
6 201
 
3.1%
Other values (31) 1509
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3144
48.6%
Uppercase Letter 1574
24.4%
Space Separator 1193
 
18.5%
Other Punctuation 328
 
5.1%
Dash Punctuation 183
 
2.8%
Math Symbol 15
 
0.2%
Open Punctuation 11
 
0.2%
Close Punctuation 11
 
0.2%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 497
31.6%
M 409
26.0%
W 84
 
5.3%
T 81
 
5.1%
N 80
 
5.1%
U 77
 
4.9%
D 70
 
4.4%
C 66
 
4.2%
R 55
 
3.5%
O 43
 
2.7%
Other values (9) 112
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 664
21.1%
0 579
18.4%
2 467
14.9%
5 373
11.9%
3 341
10.8%
4 230
 
7.3%
6 201
 
6.4%
8 170
 
5.4%
7 68
 
2.2%
9 51
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 154
47.0%
. 150
45.7%
" 21
 
6.4%
, 2
 
0.6%
# 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
x 2
50.0%
m 2
50.0%
Space Separator
ValueCountFrequency (%)
1193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Math Symbol
ValueCountFrequency (%)
= 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4885
75.6%
Latin 1578
 
24.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 497
31.5%
M 409
25.9%
W 84
 
5.3%
T 81
 
5.1%
N 80
 
5.1%
U 77
 
4.9%
D 70
 
4.4%
C 66
 
4.2%
R 55
 
3.5%
O 43
 
2.7%
Other values (11) 116
 
7.4%
Common
ValueCountFrequency (%)
1193
24.4%
1 664
13.6%
0 579
11.9%
2 467
 
9.6%
5 373
 
7.6%
3 341
 
7.0%
4 230
 
4.7%
6 201
 
4.1%
- 183
 
3.7%
8 170
 
3.5%
Other values (10) 484
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1193
18.5%
1 664
10.3%
0 579
 
9.0%
X 497
 
7.7%
2 467
 
7.2%
M 409
 
6.3%
5 373
 
5.8%
3 341
 
5.3%
4 230
 
3.6%
6 201
 
3.1%
Other values (31) 1509
23.3%

재질
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct28
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
1053 
T/#1836-R-GTK-316-316
 
28
SUS304
 
28
A193-B7
 
17
A109
 
16
Other values (23)
 
105

Length

Max length24
Median length4
Mean length4.8588613
Min length4

Unique

Unique9 ?
Unique (%)0.7%

Sample

1st rowA193-B16
2nd rowA193-B16
3rd rowA193-B16
4th rowA193-B16
5th rowA193-B16

Common Values

ValueCountFrequency (%)
<NA> 1053
84.4%
T/#1836-R-GTK-316-316 28
 
2.2%
SUS304 28
 
2.2%
A193-B7 17
 
1.4%
A109 16
 
1.3%
A194-2H 14
 
1.1%
10705BU-ST 12
 
1.0%
A193-B16 11
 
0.9%
A240-Type304 11
 
0.9%
SS400 10
 
0.8%
Other values (18) 47
 
3.8%

Length

2023-12-12T23:06:48.909884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1053
83.6%
sus304 28
 
2.2%
t/#1836-r-gtk-316-316 28
 
2.2%
a193-b7 17
 
1.4%
a109 16
 
1.3%
a194-2h 14
 
1.1%
10705bu-st 12
 
1.0%
a193-b16 11
 
0.9%
a240-type304 11
 
0.9%
ss400 10
 
0.8%
Other values (23) 59
 
4.7%

설치수량
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct52
Distinct (%)12.1%
Missing819
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean23.523364
Minimum1
Maximum384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-12T23:06:49.051074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q330.5
95-th percentile75.3
Maximum384
Range383
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation42.620178
Coefficient of variation (CV)1.8118232
Kurtosis38.274311
Mean23.523364
Median Absolute Deviation (MAD)7
Skewness5.4209187
Sum10068
Variance1816.4795
MonotonicityNot monotonic
2023-12-12T23:06:49.197045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 62
 
5.0%
2 55
 
4.4%
32 31
 
2.5%
6 31
 
2.5%
1 31
 
2.5%
8 27
 
2.2%
16 27
 
2.2%
48 18
 
1.4%
28 15
 
1.2%
24 10
 
0.8%
Other values (42) 121
 
9.7%
(Missing) 819
65.7%
ValueCountFrequency (%)
1 31
2.5%
2 55
4.4%
3 6
 
0.5%
4 62
5.0%
5 4
 
0.3%
6 31
2.5%
7 4
 
0.3%
8 27
2.2%
9 6
 
0.5%
10 1
 
0.1%
ValueCountFrequency (%)
384 3
0.2%
250 1
 
0.1%
217 1
 
0.1%
192 2
0.2%
160 1
 
0.1%
138 1
 
0.1%
128 1
 
0.1%
122 1
 
0.1%
112 1
 
0.1%
100 2
0.2%

국산화 실적
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
개발완료
848 
<NA>
399 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개발완료 848
68.0%
<NA> 399
32.0%

Length

2023-12-12T23:06:49.332613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:06:49.453611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개발완료 848
68.0%
na 399
32.0%

국산화 계획
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
<NA>
848 
5년 이내
332 
3년 이내
 
67

Length

Max length5
Median length4
Mean length4.3199679
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 848
68.0%
5년 이내 332
 
26.6%
3년 이내 67
 
5.4%

Length

2023-12-12T23:06:49.608110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:06:49.741313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 848
51.5%
이내 399
24.2%
5년 332
 
20.2%
3년 67
 
4.1%

Interactions

2023-12-12T23:06:45.359807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:45.128772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:45.509371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:45.218496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:06:49.807462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자재번호설치위치재질설치수량국산화 계획
자재번호1.0000.000NaN0.0000.000
설치위치0.0001.0000.8420.6640.982
재질NaN0.8421.0000.000NaN
설치수량0.0000.6640.0001.0000.000
국산화 계획0.0000.982NaN0.0001.000
2023-12-12T23:06:49.908368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국산화 계획국산화 실적재질
국산화 계획1.000NaN1.000
국산화 실적NaN1.0001.000
재질1.0001.0001.000
2023-12-12T23:06:50.038478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자재번호설치수량재질국산화 실적국산화 계획
자재번호1.000-0.0761.0001.0000.000
설치수량-0.0761.0000.0001.0000.000
재질1.0000.0001.0001.0001.000
국산화 실적1.0001.0001.0001.0000.000
국산화 계획0.0000.0001.0000.0001.000

Missing values

2023-12-12T23:06:45.657621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:06:45.806505image/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.
2023-12-12T23:06:45.962465image/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

사업소명자재번호기기명설치위치부품명규격재질설치수량국산화 실적국산화 계획
0화성지사4104634가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORSTUD BOLTS1-8UNC X 200A193-B16<NA>개발완료<NA>
1화성지사4104635가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORSTUD BOLTS1-8UNC X 230A193-B16<NA>개발완료<NA>
2화성지사4104636가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORSTUD BOLTS5/8-11UNC X 150A193-B16<NA>개발완료<NA>
3화성지사4007292가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORSTUD BOLTS5/8-11UNC X 120A193-B16<NA>개발완료<NA>
4화성지사4007291가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORSTUD BOLTS5/8-11UNC X 100A193-B16<NA>개발완료<NA>
5화성지사4104637가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORHEXAGON HEAVY NUTS1-8UNCA194-Gr.4<NA>개발완료<NA>
6화성지사4001713가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORHEXAGON HEAVY NUTS5/8-11UNCA194-Gr.4<NA>개발완료<NA>
7화성지사4104638가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORTONGUE LOCK WASHERS1A240-Type304<NA>개발완료<NA>
8화성지사4010824가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORSTAR LOCK WASHERS5/8"A240-Type304<NA>개발완료<NA>
9화성지사4104639가스터빈FUEL GAS MANIFOLD PIPING AROUND COMBUSTORSPIRAL WOUND GASKETSIOR-600-150T/#1836-R-GTK-316-316<NA><NA>3년 이내
사업소명자재번호기기명설치위치부품명규격재질설치수량국산화 실적국산화 계획
1237화성지사<NA>가스터빈TORQUE TUBE COVER ASS'YSTUD BOLTM20 X 100(1.2D)<NA><NA>개발완료<NA>
1238화성지사<NA>가스터빈TORQUE TUBE COVER ASS'YHEX SOC HEAD NUTM20 X 60<NA><NA>개발완료<NA>
1239화성지사<NA>가스터빈TORQUE TUBE COVER ASS'YWASHER FOR SOC HEAD BOLT20<NA><NA>개발완료<NA>
1240화성지사<NA>가스터빈TORQUE TUBE COVER ASS'YDOWEL STUD BOLTM20 X 126<NA><NA>개발완료<NA>
1241화성지사<NA>가스터빈TORQUE TUBE COVER ASS'YSTUD BOLTM20 X 180(1.2D)<NA><NA>개발완료<NA>
1242화성지사<NA>가스터빈TORQUE TUBE COVER ASS'YSTUD BOLTM20 X 130(1.2D)<NA><NA>개발완료<NA>
1243화성지사<NA>가스터빈TORQUE TUBE COVER ASS'YHELISERTM20 X P2.5 X 1D<NA><NA>개발완료<NA>
1244화성지사<NA>가스터빈<NA>UPPER BEARING<NA><NA><NA><NA>5년 이내
1245화성지사<NA>가스터빈<NA>ROLLER BEARING<NA><NA><NA><NA>5년 이내
1246화성지사<NA>가스터빈<NA>CAM BEARING<NA><NA><NA><NA>5년 이내

Duplicate rows

Most frequently occurring

사업소명자재번호기기명설치위치부품명규격재질설치수량국산화 실적국산화 계획# duplicates
4화성지사<NA>가스터빈ASS'Y OF BASE PLATESHIMT 0.2<NA><NA><NA>5년 이내10
5화성지사<NA>가스터빈ASS'Y OF BASE PLATESHIMT 0.3<NA><NA><NA>5년 이내10
6화성지사<NA>가스터빈ASS'Y OF BASE PLATESHIMT 1.0<NA><NA><NA>5년 이내10
26화성지사<NA>가스터빈GAS TURBINE COOLING AIR LOCAL PIPINGHEXAGON HEAVY NUTSM16<NA><NA>개발완료<NA>9
27화성지사<NA>가스터빈GAS TURBINE COOLING AIR LOCAL PIPINGSPIRAL WOUND GASKETSIOR-300-25<NA><NA><NA>3년 이내9
29화성지사<NA>가스터빈GAS TURBINE COOLING AIR LOCAL PIPINGTONGUE LOCK WASHERS16<NA><NA>개발완료<NA>9
28화성지사<NA>가스터빈GAS TURBINE COOLING AIR LOCAL PIPINGSTUD BOLTSM16 X 90<NA><NA>개발완료<NA>8
40화성지사<NA>가스터빈ISOLATION RING SEAL PLATE ASS'Y (NO.1,2)SEAL PLATE (ISLN RING NO.2)<NA><NA>48<NA>5년 이내5
3화성지사<NA>가스터빈ASS'Y FOR FITTING T/C (CYL. METAL TEMP. MEAS)THERMOCOUPLE<NA><NA><NA><NA>5년 이내4
7화성지사<NA>가스터빈BRG THERMOCOUPLE SETTING INSTR.PACKING (FOR T/C)<NA><NA><NA><NA>5년 이내4