Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells57530
Missing cells (%)47.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory106.0 B

Variable types

Text8
Unsupported1
Numeric2
Categorical1

Dataset

Description한국세라믹기술원 세라믹소재정보은행의 물성 정보입니다. 금속/화학/세라믹 통합사이트 주소: http://www.matcenter.org 담당자: 김경훈 수석
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15072088/fileData.do

Alerts

오차범위 is highly overall correlated with 생성일High correlation
생성일 is highly overall correlated with 오차범위High correlation
생성일 is highly imbalanced (96.3%)Imbalance
물성명 has 288 (2.9%) missing valuesMissing
오차범위 has 9633 (96.3%) missing valuesMissing
측정방법 has 7210 (72.1%) missing valuesMissing
측정장비 has 6968 (69.7%) missing valuesMissing
임시단위 has 9482 (94.8%) missing valuesMissing
측정조건 has 6765 (67.7%) missing valuesMissing
평균값 has 2429 (24.3%) missing valuesMissing
변화물성값 has 9469 (94.7%) missing valuesMissing
샘플종류 has 5286 (52.9%) missing valuesMissing
변화물성값 is highly skewed (γ1 = 20.7050057)Skewed
물성시퀀스 has unique valuesUnique
물성명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 11:10:16.319412
Analysis finished2023-12-12 11:10:19.806071
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

물성시퀀스
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:10:20.058999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters140000
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowPRO-1000049571
2nd rowPRO-0000001551
3rd rowPRO-1000126327
4th rowPRO-1000123371
5th rowPRO-1000083983
ValueCountFrequency (%)
pro-1000049571 1
 
< 0.1%
pro-1000077148 1
 
< 0.1%
pro-1000054074 1
 
< 0.1%
pro-1000045944 1
 
< 0.1%
pro-1000102278 1
 
< 0.1%
pro-1000040033 1
 
< 0.1%
pro-0000008990 1
 
< 0.1%
pro-1000086428 1
 
< 0.1%
pro-0000024650 1
 
< 0.1%
pro-0000024921 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T20:10:20.722996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46213
33.0%
1 16404
 
11.7%
P 10000
 
7.1%
R 10000
 
7.1%
O 10000
 
7.1%
- 10000
 
7.1%
2 5562
 
4.0%
9 4934
 
3.5%
8 4933
 
3.5%
4 4520
 
3.2%
Other values (4) 17434
 
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
71.4%
Uppercase Letter 30000
 
21.4%
Dash Punctuation 10000
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46213
46.2%
1 16404
 
16.4%
2 5562
 
5.6%
9 4934
 
4.9%
8 4933
 
4.9%
4 4520
 
4.5%
7 4495
 
4.5%
6 4362
 
4.4%
5 4355
 
4.4%
3 4222
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
P 10000
33.3%
R 10000
33.3%
O 10000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110000
78.6%
Latin 30000
 
21.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46213
42.0%
1 16404
 
14.9%
- 10000
 
9.1%
2 5562
 
5.1%
9 4934
 
4.5%
8 4933
 
4.5%
4 4520
 
4.1%
7 4495
 
4.1%
6 4362
 
4.0%
5 4355
 
4.0%
Latin
ValueCountFrequency (%)
P 10000
33.3%
R 10000
33.3%
O 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46213
33.0%
1 16404
 
11.7%
P 10000
 
7.1%
R 10000
 
7.1%
O 10000
 
7.1%
- 10000
 
7.1%
2 5562
 
4.0%
9 4934
 
3.5%
8 4933
 
3.5%
4 4520
 
3.2%
Other values (4) 17434
 
12.5%

소재시퀀스
Text

Distinct7825
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:10:21.247094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.998
Min length3

Characters and Unicode

Total characters69980
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6174 ?
Unique (%)61.7%

Sample

1st rowM107140
2nd rowM003311
3rd rowM122265
4th rowM121600
5th rowM112146
ValueCountFrequency (%)
m108721 15
 
0.1%
m119545 13
 
0.1%
m108990 8
 
0.1%
m119191 7
 
0.1%
m108911 7
 
0.1%
m119060 7
 
0.1%
m119129 7
 
0.1%
m115475 7
 
0.1%
m115446 6
 
0.1%
m118873 6
 
0.1%
Other values (7815) 9917
99.2%
2023-12-12T20:10:22.061588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 15291
21.9%
0 11750
16.8%
M 10000
14.3%
2 5239
 
7.5%
5 4058
 
5.8%
4 4022
 
5.7%
3 3995
 
5.7%
6 3989
 
5.7%
9 3978
 
5.7%
7 3876
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59980
85.7%
Uppercase Letter 10000
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15291
25.5%
0 11750
19.6%
2 5239
 
8.7%
5 4058
 
6.8%
4 4022
 
6.7%
3 3995
 
6.7%
6 3989
 
6.7%
9 3978
 
6.6%
7 3876
 
6.5%
8 3782
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
M 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59980
85.7%
Latin 10000
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15291
25.5%
0 11750
19.6%
2 5239
 
8.7%
5 4058
 
6.8%
4 4022
 
6.7%
3 3995
 
6.7%
6 3989
 
6.7%
9 3978
 
6.6%
7 3876
 
6.5%
8 3782
 
6.3%
Latin
ValueCountFrequency (%)
M 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 15291
21.9%
0 11750
16.8%
M 10000
14.3%
2 5239
 
7.5%
5 4058
 
5.8%
4 4022
 
5.7%
3 3995
 
5.7%
6 3989
 
5.7%
9 3978
 
5.7%
7 3876
 
5.5%

물성명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)2.9%
Memory size156.2 KiB

오차범위
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct211
Distinct (%)57.5%
Missing9633
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean1.3638001 × 1013
Minimum-2
Maximum5 × 1015
Zeros2
Zeros (%)< 0.1%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2023-12-12T20:10:22.890149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0.03
Q10.325
median1.8
Q333
95-th percentile3000
Maximum5 × 1015
Range5 × 1015
Interquartile range (IQR)32.675

Descriptive statistics

Standard deviation2.6099727 × 1014
Coefficient of variation (CV)19.137503
Kurtosis366.99926
Mean1.3638001 × 1013
Median Absolute Deviation (MAD)1.75
Skewness19.157215
Sum5.0051462 × 1015
Variance6.8119576 × 1028
MonotonicityNot monotonic
2023-12-12T20:10:23.226350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05 17
 
0.2%
0.2 16
 
0.2%
0.3 12
 
0.1%
0.1 11
 
0.1%
1.0 11
 
0.1%
0.4 9
 
0.1%
0.5 9
 
0.1%
1000.0 7
 
0.1%
100.0 6
 
0.1%
50.0 6
 
0.1%
Other values (201) 263
 
2.6%
(Missing) 9633
96.3%
ValueCountFrequency (%)
-2.0 1
 
< 0.1%
0.0 2
 
< 0.1%
0.00031 1
 
< 0.1%
0.002 1
 
< 0.1%
0.01 5
0.1%
0.015 1
 
< 0.1%
0.02 1
 
< 0.1%
0.0209 1
 
< 0.1%
0.023 1
 
< 0.1%
0.03 6
0.1%
ValueCountFrequency (%)
5000000000000000.0 1
< 0.1%
5000000000000.0 1
< 0.1%
70000000003.0 1
< 0.1%
50000005000.0 1
< 0.1%
26000000009.0 1
< 0.1%
200000000.0 1
< 0.1%
45000000.0 1
< 0.1%
2500000.0 1
< 0.1%
370000.0 1
< 0.1%
40000.0 1
< 0.1%

측정방법
Text

MISSING 

Distinct829
Distinct (%)29.7%
Missing7210
Missing (%)72.1%
Memory size156.2 KiB
2023-12-12T20:10:23.902437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length224
Median length168
Mean length37.187814
Min length1

Characters and Unicode

Total characters103754
Distinct characters170
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique446 ?
Unique (%)16.0%

Sample

1st rowresonance-antiresonance method
2nd rowFE test system
3rd rowdetermined from the ratio of bulk density to true density
4th rowhall effect measurment / ECOPIA HMS-3000
5th rowCuO
ValueCountFrequency (%)
method 705
 
4.7%
of 411
 
2.8%
335
 
2.2%
and 285
 
1.9%
the 275
 
1.8%
archimedes 210
 
1.4%
using 208
 
1.4%
a 184
 
1.2%
by 175
 
1.2%
time 137
 
0.9%
Other values (1396) 11972
80.4%
2023-12-12T20:10:24.850765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12271
 
11.8%
e 10297
 
9.9%
t 6786
 
6.5%
a 6108
 
5.9%
r 5454
 
5.3%
n 5213
 
5.0%
o 5132
 
4.9%
i 5127
 
4.9%
c 3847
 
3.7%
s 3729
 
3.6%
Other values (160) 39790
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 75261
72.5%
Space Separator 12271
 
11.8%
Uppercase Letter 5737
 
5.5%
Decimal Number 4489
 
4.3%
Other Punctuation 2674
 
2.6%
Dash Punctuation 1070
 
1.0%
Close Punctuation 591
 
0.6%
Open Punctuation 591
 
0.6%
Other Letter 492
 
0.5%
Math Symbol 350
 
0.3%
Other values (5) 228
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
측 32
 
6.5%
일 27
 
5.5%
정 27
 
5.5%
턴 22
 
4.5%
코 21
 
4.3%
사 19
 
3.9%
차 18
 
3.7%
를 17
 
3.5%
경 16
 
3.3%
감 15
 
3.0%
Other values (59) 278
56.5%
Lowercase Letter
ValueCountFrequency (%)
e 10297
13.7%
t 6786
 
9.0%
a 6108
 
8.1%
r 5454
 
7.2%
n 5213
 
6.9%
o 5132
 
6.8%
i 5127
 
6.8%
c 3847
 
5.1%
s 3729
 
5.0%
m 3726
 
5.0%
Other values (23) 19842
26.4%
Uppercase Letter
ValueCountFrequency (%)
C 782
13.6%
V 588
10.2%
H 545
 
9.5%
A 478
 
8.3%
E 427
 
7.4%
S 390
 
6.8%
D 347
 
6.0%
M 271
 
4.7%
F 240
 
4.2%
B 234
 
4.1%
Other values (16) 1435
25.0%
Decimal Number
ValueCountFrequency (%)
0 1385
30.9%
1 987
22.0%
2 632
14.1%
3 477
 
10.6%
5 465
 
10.4%
4 189
 
4.2%
6 151
 
3.4%
8 76
 
1.7%
7 64
 
1.4%
9 63
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 1663
62.2%
/ 422
 
15.8%
: 292
 
10.9%
% 199
 
7.4%
* 62
 
2.3%
# 14
 
0.5%
' 12
 
0.4%
; 9
 
0.3%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 171
48.9%
= 129
36.9%
~ 40
 
11.4%
× 5
 
1.4%
∼ 4
 
1.1%
± 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
℃ 45
72.6%
△ 9
 
14.5%
° 5
 
8.1%
□ 1
 
1.6%
○ 1
 
1.6%
㎛ 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 586
99.2%
] 5
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 586
99.2%
[ 5
 
0.8%
Modifier Symbol
ValueCountFrequency (%)
^ 8
88.9%
` 1
 
11.1%
Space Separator
ValueCountFrequency (%)
12271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1070
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 130
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 26
100.0%
Other Number
ValueCountFrequency (%)
³ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 80913
78.0%
Common 22264
 
21.5%
Hangul 492
 
0.5%
Greek 85
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
측 32
 
6.5%
일 27
 
5.5%
정 27
 
5.5%
턴 22
 
4.5%
코 21
 
4.3%
사 19
 
3.9%
차 18
 
3.7%
를 17
 
3.5%
경 16
 
3.3%
감 15
 
3.0%
Other values (59) 278
56.5%
Latin
ValueCountFrequency (%)
e 10297
12.7%
t 6786
 
8.4%
a 6108
 
7.5%
r 5454
 
6.7%
n 5213
 
6.4%
o 5132
 
6.3%
i 5127
 
6.3%
c 3847
 
4.8%
s 3729
 
4.6%
m 3726
 
4.6%
Other values (41) 25494
31.5%
Common
ValueCountFrequency (%)
12271
55.1%
. 1663
 
7.5%
0 1385
 
6.2%
- 1070
 
4.8%
1 987
 
4.4%
2 632
 
2.8%
) 586
 
2.6%
( 586
 
2.6%
3 477
 
2.1%
5 465
 
2.1%
Other values (32) 2142
 
9.6%
Greek
ValueCountFrequency (%)
σ 48
56.5%
α 14
 
16.5%
μ 8
 
9.4%
δ 6
 
7.1%
λ 5
 
5.9%
ε 2
 
2.4%
β 1
 
1.2%
Δ 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103078
99.3%
Hangul 492
 
0.5%
None 97
 
0.1%
Letterlike Symbols 45
 
< 0.1%
Punctuation 26
 
< 0.1%
Geometric Shapes 11
 
< 0.1%
Math Operators 4
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12271
 
11.9%
e 10297
 
10.0%
t 6786
 
6.6%
a 6108
 
5.9%
r 5454
 
5.3%
n 5213
 
5.1%
o 5132
 
5.0%
i 5127
 
5.0%
c 3847
 
3.7%
s 3729
 
3.6%
Other values (72) 39114
37.9%
None
ValueCountFrequency (%)
σ 48
49.5%
α 14
 
14.4%
μ 8
 
8.2%
δ 6
 
6.2%
° 5
 
5.2%
λ 5
 
5.2%
× 5
 
5.2%
ε 2
 
2.1%
± 1
 
1.0%
³ 1
 
1.0%
Other values (2) 2
 
2.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 45
100.0%
Hangul
ValueCountFrequency (%)
측 32
 
6.5%
일 27
 
5.5%
정 27
 
5.5%
턴 22
 
4.5%
코 21
 
4.3%
사 19
 
3.9%
차 18
 
3.7%
를 17
 
3.5%
경 16
 
3.3%
감 15
 
3.0%
Other values (59) 278
56.5%
Punctuation
ValueCountFrequency (%)
’ 26
100.0%
Geometric Shapes
ValueCountFrequency (%)
△ 9
81.8%
□ 1
 
9.1%
○ 1
 
9.1%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
CJK Compat
ValueCountFrequency (%)
㎛ 1
100.0%

측정장비
Text

MISSING 

Distinct792
Distinct (%)26.1%
Missing6968
Missing (%)69.7%
Memory size156.2 KiB
2023-12-12T20:10:25.419965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length78
Mean length26.78496
Min length1

Characters and Unicode

Total characters81212
Distinct characters112
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique389 ?
Unique (%)12.8%

Sample

1st rowImpedance analyzer
2nd row4294A. Agilent Ltd.
3rd rowHP 4294A
4th rowPrecisionPremier II; Radiant Technologies Inc. Albuquerque. NM
5th rowImpedance/Gain analyzer. HP4194A
ValueCountFrequency (%)
analyzer 717
 
6.8%
impedance 395
 
3.8%
network 252
 
2.4%
meter 251
 
2.4%
lcr 229
 
2.2%
hp 173
 
1.6%
4294a 161
 
1.5%
of 147
 
1.4%
a 129
 
1.2%
agilent 123
 
1.2%
Other values (1188) 7925
75.5%
2023-12-12T20:10:26.399959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 7965
 
9.8%
7519
 
9.3%
a 5211
 
6.4%
r 4498
 
5.5%
t 4378
 
5.4%
n 4338
 
5.3%
i 3441
 
4.2%
o 2962
 
3.6%
c 2892
 
3.6%
l 2800
 
3.4%
Other values (102) 35208
43.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53145
65.4%
Uppercase Letter 10470
 
12.9%
Space Separator 7519
 
9.3%
Decimal Number 6298
 
7.8%
Other Punctuation 1621
 
2.0%
Dash Punctuation 747
 
0.9%
Open Punctuation 662
 
0.8%
Close Punctuation 650
 
0.8%
Other Letter 81
 
0.1%
Final Punctuation 15
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 8
 
9.9%
직 5
 
6.2%
류 5
 
6.2%
스 4
 
4.9%
기 4
 
4.9%
동 4
 
4.9%
성 3
 
3.7%
터 3
 
3.7%
특 3
 
3.7%
시 3
 
3.7%
Other values (23) 39
48.1%
Lowercase Letter
ValueCountFrequency (%)
e 7965
15.0%
a 5211
9.8%
r 4498
 
8.5%
t 4378
 
8.2%
n 4338
 
8.2%
i 3441
 
6.5%
o 2962
 
5.6%
c 2892
 
5.4%
l 2800
 
5.3%
m 2213
 
4.2%
Other values (19) 12447
23.4%
Uppercase Letter
ValueCountFrequency (%)
A 1475
14.1%
P 1113
10.6%
H 833
 
8.0%
S 791
 
7.6%
C 778
 
7.4%
I 708
 
6.8%
R 656
 
6.3%
M 570
 
5.4%
E 488
 
4.7%
L 416
 
4.0%
Other values (16) 2642
25.2%
Decimal Number
ValueCountFrequency (%)
4 1220
19.4%
0 1135
18.0%
2 946
15.0%
3 597
9.5%
1 578
9.2%
9 537
8.5%
8 388
 
6.2%
5 367
 
5.8%
6 274
 
4.4%
7 256
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1335
82.4%
/ 229
 
14.1%
; 32
 
2.0%
& 20
 
1.2%
' 3
 
0.2%
: 2
 
0.1%
Space Separator
ValueCountFrequency (%)
7519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 747
100.0%
Open Punctuation
ValueCountFrequency (%)
( 662
100.0%
Close Punctuation
ValueCountFrequency (%)
) 650
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 15
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 63611
78.3%
Common 17515
 
21.6%
Hangul 81
 
0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7965
 
12.5%
a 5211
 
8.2%
r 4498
 
7.1%
t 4378
 
6.9%
n 4338
 
6.8%
i 3441
 
5.4%
o 2962
 
4.7%
c 2892
 
4.5%
l 2800
 
4.4%
m 2213
 
3.5%
Other values (44) 22913
36.0%
Hangul
ValueCountFrequency (%)
자 8
 
9.9%
직 5
 
6.2%
류 5
 
6.2%
스 4
 
4.9%
기 4
 
4.9%
동 4
 
4.9%
성 3
 
3.7%
터 3
 
3.7%
특 3
 
3.7%
시 3
 
3.7%
Other values (23) 39
48.1%
Common
ValueCountFrequency (%)
7519
42.9%
. 1335
 
7.6%
4 1220
 
7.0%
0 1135
 
6.5%
2 946
 
5.4%
- 747
 
4.3%
( 662
 
3.8%
) 650
 
3.7%
3 597
 
3.4%
1 578
 
3.3%
Other values (13) 2126
 
12.1%
Greek
ValueCountFrequency (%)
λ 3
60.0%
α 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81105
99.9%
Hangul 81
 
0.1%
Punctuation 15
 
< 0.1%
None 8
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 7965
 
9.8%
7519
 
9.3%
a 5211
 
6.4%
r 4498
 
5.5%
t 4378
 
5.4%
n 4338
 
5.3%
i 3441
 
4.2%
o 2962
 
3.7%
c 2892
 
3.6%
l 2800
 
3.5%
Other values (62) 35101
43.3%
Punctuation
ValueCountFrequency (%)
’ 15
100.0%
Hangul
ValueCountFrequency (%)
자 8
 
9.9%
직 5
 
6.2%
류 5
 
6.2%
스 4
 
4.9%
기 4
 
4.9%
동 4
 
4.9%
성 3
 
3.7%
터 3
 
3.7%
특 3
 
3.7%
시 3
 
3.7%
Other values (23) 39
48.1%
None
ValueCountFrequency (%)
λ 3
37.5%
α 2
25.0%
þ 2
25.0%
½ 1
 
12.5%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

임시단위
Text

MISSING 

Distinct159
Distinct (%)30.7%
Missing9482
Missing (%)94.8%
Memory size156.2 KiB
2023-12-12T20:10:26.933654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length3.5405405
Min length1

Characters and Unicode

Total characters1834
Distinct characters94
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)17.8%

Sample

1st rownm
2nd rowW/mK
3rd rowΩ㎝
4th rowW/mK
5th rowPc/N
ValueCountFrequency (%)
81
 
14.7%
mpa 27
 
4.9%
pc/n 22
 
4.0%
nm 22
 
4.0%
v 21
 
3.8%
ma/㎠ 18
 
3.3%
㎛ 17
 
3.1%
w/mk 16
 
2.9%
wt 15
 
2.7%
g/㎤ 14
 
2.5%
Other values (147) 298
54.1%
2023-12-12T20:10:27.901342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 223
 
12.2%
m 191
 
10.4%
% 100
 
5.5%
p 73
 
4.0%
a 71
 
3.9%
1 68
 
3.7%
g 57
 
3.1%
N 56
 
3.1%
M 55
 
3.0%
^ 55
 
3.0%
Other values (84) 885
48.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 653
35.6%
Uppercase Letter 343
18.7%
Other Punctuation 334
18.2%
Decimal Number 183
 
10.0%
Other Symbol 144
 
7.9%
Modifier Symbol 55
 
3.0%
Space Separator 50
 
2.7%
Dash Punctuation 26
 
1.4%
Close Punctuation 13
 
0.7%
Open Punctuation 13
 
0.7%
Other values (4) 20
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 191
29.2%
p 73
 
11.2%
a 71
 
10.9%
g 57
 
8.7%
c 46
 
7.0%
n 33
 
5.1%
t 24
 
3.7%
w 18
 
2.8%
l 17
 
2.6%
e 17
 
2.6%
Other values (19) 106
16.2%
Uppercase Letter
ValueCountFrequency (%)
N 56
16.3%
M 55
16.0%
V 52
15.2%
C 30
8.7%
P 29
8.5%
A 26
7.6%
K 21
 
6.1%
W 19
 
5.5%
H 12
 
3.5%
G 11
 
3.2%
Other values (9) 32
9.3%
Other Symbol
ValueCountFrequency (%)
㎠ 39
27.1%
℃ 27
18.8%
㎛ 21
14.6%
㎤ 17
11.8%
㎡ 11
 
7.6%
㎝ 8
 
5.6%
㎏ 5
 
3.5%
㎟ 4
 
2.8%
㎜ 3
 
2.1%
㏀ 3
 
2.1%
Other values (4) 6
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 68
37.2%
2 48
26.2%
0 27
 
14.8%
3 21
 
11.5%
5 7
 
3.8%
4 5
 
2.7%
8 3
 
1.6%
6 2
 
1.1%
9 1
 
0.5%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 223
66.8%
% 100
29.9%
; 4
 
1.2%
* 3
 
0.9%
& 2
 
0.6%
. 2
 
0.6%
Other Letter
ValueCountFrequency (%)
분 3
33.3%
자 3
33.3%
개 2
22.2%
톤 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 12
92.3%
] 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 10
76.9%
[ 3
 
23.1%
Other Number
ValueCountFrequency (%)
³ 3
60.0%
² 2
40.0%
Math Symbol
ValueCountFrequency (%)
× 2
50.0%
∝ 2
50.0%
Modifier Symbol
ValueCountFrequency (%)
^ 55
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 974
53.1%
Common 829
45.2%
Greek 22
 
1.2%
Hangul 9
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 223
26.9%
% 100
12.1%
1 68
 
8.2%
^ 55
 
6.6%
50
 
6.0%
2 48
 
5.8%
㎠ 39
 
4.7%
℃ 27
 
3.3%
0 27
 
3.3%
- 26
 
3.1%
Other values (32) 166
20.0%
Latin
ValueCountFrequency (%)
m 191
19.6%
p 73
 
7.5%
a 71
 
7.3%
g 57
 
5.9%
N 56
 
5.7%
M 55
 
5.6%
V 52
 
5.3%
c 46
 
4.7%
n 33
 
3.4%
C 30
 
3.1%
Other values (31) 310
31.8%
Greek
ValueCountFrequency (%)
Ω 5
22.7%
α 5
22.7%
Ω 4
18.2%
δ 4
18.2%
μ 2
 
9.1%
ν 1
 
4.5%
ρ 1
 
4.5%
Hangul
ValueCountFrequency (%)
분 3
33.3%
자 3
33.3%
개 2
22.2%
톤 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1647
89.8%
CJK Compat 117
 
6.4%
Letterlike Symbols 35
 
1.9%
None 24
 
1.3%
Hangul 9
 
0.5%
Math Operators 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 223
 
13.5%
m 191
 
11.6%
% 100
 
6.1%
p 73
 
4.4%
a 71
 
4.3%
1 68
 
4.1%
g 57
 
3.5%
N 56
 
3.4%
M 55
 
3.3%
^ 55
 
3.3%
Other values (54) 698
42.4%
CJK Compat
ValueCountFrequency (%)
㎠ 39
33.3%
㎛ 21
17.9%
㎤ 17
14.5%
㎡ 11
 
9.4%
㎝ 8
 
6.8%
㎏ 5
 
4.3%
㎟ 4
 
3.4%
㎜ 3
 
2.6%
㏀ 3
 
2.6%
㎫ 3
 
2.6%
Other values (3) 3
 
2.6%
Letterlike Symbols
ValueCountFrequency (%)
℃ 27
77.1%
Ω 5
 
14.3%
Å 3
 
8.6%
None
ValueCountFrequency (%)
α 5
20.8%
Ω 4
16.7%
δ 4
16.7%
³ 3
12.5%
× 2
 
8.3%
μ 2
 
8.3%
² 2
 
8.3%
ν 1
 
4.2%
ρ 1
 
4.2%
Hangul
ValueCountFrequency (%)
분 3
33.3%
자 3
33.3%
개 2
22.2%
톤 1
 
11.1%
Math Operators
ValueCountFrequency (%)
∝ 2
100.0%

측정조건
Text

MISSING 

Distinct1755
Distinct (%)54.3%
Missing6765
Missing (%)67.7%
Memory size156.2 KiB
2023-12-12T20:10:28.347067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length283
Median length232
Mean length36.637094
Min length1

Characters and Unicode

Total characters118521
Distinct characters223
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1382 ?
Unique (%)42.7%

Sample

1st rowafter 250℃ reflow
2nd rowat 1 KHz
3rd rowForce = 0.25Nrms
4th rowRoom Temperature
5th row1350℃ 1hr
ValueCountFrequency (%)
of 1086
 
5.9%
at 559
 
3.0%
404
 
2.2%
and 365
 
2.0%
the 354
 
1.9%
temperature 290
 
1.6%
a 248
 
1.3%
in 167
 
0.9%
room 166
 
0.9%
1 158
 
0.9%
Other values (3200) 14662
79.4%
2023-12-12T20:10:28.963427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15463
 
13.0%
e 9011
 
7.6%
t 6991
 
5.9%
a 6075
 
5.1%
o 5631
 
4.8%
r 5582
 
4.7%
i 5534
 
4.7%
n 4920
 
4.2%
s 3846
 
3.2%
m 3343
 
2.8%
Other values (213) 52125
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 74214
62.6%
Space Separator 15463
 
13.0%
Decimal Number 10146
 
8.6%
Uppercase Letter 9617
 
8.1%
Other Punctuation 4351
 
3.7%
Close Punctuation 1104
 
0.9%
Open Punctuation 1094
 
0.9%
Dash Punctuation 775
 
0.7%
Math Symbol 750
 
0.6%
Other Symbol 655
 
0.6%
Other values (5) 352
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 26
 
9.0%
온 13
 
4.5%
고 12
 
4.2%
전 11
 
3.8%
의 9
 
3.1%
에 7
 
2.4%
조 6
 
2.1%
습 6
 
2.1%
유 6
 
2.1%
지 6
 
2.1%
Other values (91) 187
64.7%
Lowercase Letter
ValueCountFrequency (%)
e 9011
12.1%
t 6991
 
9.4%
a 6075
 
8.2%
o 5631
 
7.6%
r 5582
 
7.5%
i 5534
 
7.5%
n 4920
 
6.6%
s 3846
 
5.2%
m 3343
 
4.5%
c 3017
 
4.1%
Other values (27) 20264
27.3%
Uppercase Letter
ValueCountFrequency (%)
C 1101
 
11.4%
T 706
 
7.3%
H 695
 
7.2%
O 690
 
7.2%
S 617
 
6.4%
V 609
 
6.3%
M 598
 
6.2%
A 559
 
5.8%
E 519
 
5.4%
P 435
 
4.5%
Other values (20) 3088
32.1%
Math Symbol
ValueCountFrequency (%)
= 441
58.8%
~ 146
 
19.5%
+ 84
 
11.2%
< 29
 
3.9%
± 29
 
3.9%
> 6
 
0.8%
× 5
 
0.7%
∼ 4
 
0.5%
∝ 2
 
0.3%
→ 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 3338
32.9%
1 1822
18.0%
2 1551
15.3%
5 1057
 
10.4%
3 738
 
7.3%
4 597
 
5.9%
8 341
 
3.4%
6 260
 
2.6%
9 231
 
2.3%
7 211
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 2763
63.5%
/ 766
 
17.6%
: 484
 
11.1%
% 276
 
6.3%
; 23
 
0.5%
' 22
 
0.5%
* 12
 
0.3%
· 3
 
0.1%
& 2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
℃ 512
78.2%
° 124
 
18.9%
㎛ 6
 
0.9%
® 6
 
0.9%
㎑ 5
 
0.8%
™ 1
 
0.2%
㎚ 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1076
98.4%
[ 16
 
1.5%
{ 1
 
0.1%
（ 1
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 34
63.0%
˚ 17
31.5%
` 2
 
3.7%
˛ 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 1087
98.5%
] 16
 
1.4%
} 1
 
0.1%
Other Number
ValueCountFrequency (%)
¼ 2
50.0%
₄ 1
25.0%
₂ 1
25.0%
Space Separator
ValueCountFrequency (%)
15463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 775
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 83701
70.6%
Common 34401
29.0%
Hangul 286
 
0.2%
Greek 133
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 26
 
9.1%
온 13
 
4.5%
고 12
 
4.2%
전 11
 
3.8%
의 9
 
3.1%
에 7
 
2.4%
조 6
 
2.1%
습 6
 
2.1%
유 6
 
2.1%
지 6
 
2.1%
Other values (90) 184
64.3%
Common
ValueCountFrequency (%)
15463
44.9%
0 3338
 
9.7%
. 2763
 
8.0%
1 1822
 
5.3%
2 1551
 
4.5%
) 1087
 
3.2%
( 1076
 
3.1%
5 1057
 
3.1%
- 775
 
2.3%
/ 766
 
2.2%
Other values (45) 4703
 
13.7%
Latin
ValueCountFrequency (%)
e 9011
 
10.8%
t 6991
 
8.4%
a 6075
 
7.3%
o 5631
 
6.7%
r 5582
 
6.7%
i 5534
 
6.6%
n 4920
 
5.9%
s 3846
 
4.6%
m 3343
 
4.0%
c 3017
 
3.6%
Other values (44) 29751
35.5%
Greek
ValueCountFrequency (%)
δ 49
36.8%
α 25
18.8%
θ 20
15.0%
ρ 11
 
8.3%
Φ 5
 
3.8%
σ 4
 
3.0%
μ 4
 
3.0%
Ω 3
 
2.3%
Ρ 3
 
2.3%
Δ 3
 
2.3%
Other values (4) 6
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117370
99.0%
Letterlike Symbols 513
 
0.4%
None 309
 
0.3%
Hangul 286
 
0.2%
Modifier Letters 18
 
< 0.1%
CJK Compat 12
 
< 0.1%
Math Operators 6
 
< 0.1%
Punctuation 5
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15463
 
13.2%
e 9011
 
7.7%
t 6991
 
6.0%
a 6075
 
5.2%
o 5631
 
4.8%
r 5582
 
4.8%
i 5534
 
4.7%
n 4920
 
4.2%
s 3846
 
3.3%
m 3343
 
2.8%
Other values (76) 50974
43.4%
Letterlike Symbols
ValueCountFrequency (%)
℃ 512
99.8%
™ 1
 
0.2%
None
ValueCountFrequency (%)
° 124
40.1%
δ 49
 
15.9%
± 29
 
9.4%
α 25
 
8.1%
θ 20
 
6.5%
ρ 11
 
3.6%
® 6
 
1.9%
Φ 5
 
1.6%
× 5
 
1.6%
σ 4
 
1.3%
Other values (15) 31
 
10.0%
Hangul
ValueCountFrequency (%)
도 26
 
9.1%
온 13
 
4.5%
고 12
 
4.2%
전 11
 
3.8%
의 9
 
3.1%
에 7
 
2.4%
조 6
 
2.1%
습 6
 
2.1%
유 6
 
2.1%
지 6
 
2.1%
Other values (90) 184
64.3%
Modifier Letters
ValueCountFrequency (%)
˚ 17
94.4%
˛ 1
 
5.6%
CJK Compat
ValueCountFrequency (%)
㎛ 6
50.0%
㎑ 5
41.7%
㎚ 1
 
8.3%
Punctuation
ValueCountFrequency (%)
’ 4
80.0%
‘ 1
 
20.0%
Math Operators
ValueCountFrequency (%)
∼ 4
66.7%
∝ 2
33.3%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

평균값
Text

MISSING 

Distinct3586
Distinct (%)47.4%
Missing2429
Missing (%)24.3%
Memory size156.2 KiB
2023-12-12T20:10:29.502277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length4.0775327
Min length1

Characters and Unicode

Total characters30871
Distinct characters72
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2351 ?
Unique (%)31.1%

Sample

1st row0.01
2nd row11.5
3rd row760
4th rowRed
5th rownegative strain
ValueCountFrequency (%)
1000 41
 
0.5%
1 33
 
0.4%
ultraviolet 33
 
0.4%
32
 
0.4%
254 29
 
0.4%
100 27
 
0.3%
365 26
 
0.3%
4 25
 
0.3%
8 24
 
0.3%
18 23
 
0.3%
Other values (3480) 7441
96.2%
2023-12-12T20:10:30.364372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5527
17.9%
. 3657
11.8%
1 3179
10.3%
2 2593
8.4%
3 2328
7.5%
5 2256
7.3%
4 2094
 
6.8%
6 1742
 
5.6%
7 1718
 
5.6%
8 1664
 
5.4%
Other values (62) 4113
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24617
79.7%
Other Punctuation 3694
 
12.0%
Lowercase Letter 1751
 
5.7%
Uppercase Letter 344
 
1.1%
Space Separator 166
 
0.5%
Dash Punctuation 145
 
0.5%
Math Symbol 66
 
0.2%
Open Punctuation 30
 
0.1%
Close Punctuation 30
 
0.1%
Modifier Symbol 18
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 221
12.6%
l 183
10.5%
i 174
9.9%
t 170
9.7%
r 164
9.4%
a 156
8.9%
o 149
8.5%
n 109
 
6.2%
s 66
 
3.8%
d 50
 
2.9%
Other values (14) 309
17.6%
Uppercase Letter
ValueCountFrequency (%)
G 36
10.5%
V 36
10.5%
U 33
9.6%
R 32
9.3%
Y 29
 
8.4%
C 26
 
7.6%
B 20
 
5.8%
M 18
 
5.2%
O 18
 
5.2%
T 18
 
5.2%
Other values (13) 78
22.7%
Decimal Number
ValueCountFrequency (%)
0 5527
22.5%
1 3179
12.9%
2 2593
10.5%
3 2328
9.5%
5 2256
9.2%
4 2094
 
8.5%
6 1742
 
7.1%
7 1718
 
7.0%
8 1664
 
6.8%
9 1516
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 3657
99.0%
% 13
 
0.4%
* 10
 
0.3%
/ 9
 
0.2%
: 5
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 38
57.6%
= 23
34.8%
± 4
 
6.1%
+ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 18
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28776
93.2%
Latin 2095
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 221
 
10.5%
l 183
 
8.7%
i 174
 
8.3%
t 170
 
8.1%
r 164
 
7.8%
a 156
 
7.4%
o 149
 
7.1%
n 109
 
5.2%
s 66
 
3.2%
d 50
 
2.4%
Other values (37) 653
31.2%
Common
ValueCountFrequency (%)
0 5527
19.2%
. 3657
12.7%
1 3179
11.0%
2 2593
9.0%
3 2328
8.1%
5 2256
7.8%
4 2094
 
7.3%
6 1742
 
6.1%
7 1718
 
6.0%
8 1664
 
5.8%
Other values (15) 2018
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30857
> 99.9%
Letterlike Symbols 10
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5527
17.9%
. 3657
11.9%
1 3179
10.3%
2 2593
8.4%
3 2328
7.5%
5 2256
7.3%
4 2094
 
6.8%
6 1742
 
5.6%
7 1718
 
5.6%
8 1664
 
5.4%
Other values (60) 4099
13.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 10
100.0%
None
ValueCountFrequency (%)
± 4
100.0%

변화물성값
Real number (ℝ)

MISSING  SKEWED 

Distinct436
Distinct (%)82.1%
Missing9469
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean7.781001 × 1011
Minimum-379
Maximum3.11 × 1014
Zeros14
Zeros (%)0.1%
Negative15
Negative (%)0.1%
Memory size166.0 KiB
2023-12-12T20:10:30.592749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-379
5-th percentile0
Q11.1119265
median7.84
Q3133.883
95-th percentile1631.73
Maximum3.11 × 1014
Range3.11 × 1014
Interquartile range (IQR)132.77107

Descriptive statistics

Standard deviation1.4107018 × 1013
Coefficient of variation (CV)18.130082
Kurtosis447.04225
Mean7.781001 × 1011
Median Absolute Deviation (MAD)7.84
Skewness20.705006
Sum4.1317115 × 1014
Variance1.9900797 × 1026
MonotonicityNot monotonic
2023-12-12T20:10:30.808075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
0.1%
1.0 8
 
0.1%
2.0 6
 
0.1%
5.0 6
 
0.1%
900.0 4
 
< 0.1%
0.2 4
 
< 0.1%
0.5 4
 
< 0.1%
0.64 4
 
< 0.1%
0.1 3
 
< 0.1%
4.0 3
 
< 0.1%
Other values (426) 475
 
4.8%
(Missing) 9469
94.7%
ValueCountFrequency (%)
-379.0 1
< 0.1%
-354.1746 1
< 0.1%
-104.0 1
< 0.1%
-94.0 1
< 0.1%
-46.0 1
< 0.1%
-40.0 1
< 0.1%
-28.49 1
< 0.1%
-6.3 1
< 0.1%
-5.0 1
< 0.1%
-3.6 1
< 0.1%
ValueCountFrequency (%)
311000000000000.0 1
< 0.1%
95000000000000.0 1
< 0.1%
7050000000000.0 1
< 0.1%
101000000000.0 1
< 0.1%
20000000000.0 1
< 0.1%
150000000.0 1
< 0.1%
1000000.0 2
< 0.1%
220000.0 1
< 0.1%
167000.0 1
< 0.1%
100000.0 1
< 0.1%

샘플종류
Text

MISSING 

Distinct757
Distinct (%)16.1%
Missing5286
Missing (%)52.9%
Memory size156.2 KiB
2023-12-12T20:10:31.325846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length144
Median length72
Mean length29.278744
Min length3

Characters and Unicode

Total characters138020
Distinct characters179
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)7.2%

Sample

1st rowshape: platy structure
2nd rowtype: Bulk shape: Pellet amount: 1
3rd row12 X 3 X 1mm
4th rowdisc
5th rowtype: Bulk shape: Bar amount: 10 dimension: 3*4*35 mm
ValueCountFrequency (%)
shape 2724
 
12.4%
disk 2025
 
9.2%
type 1723
 
7.8%
amount 1489
 
6.8%
bulk 1441
 
6.5%
dimension 1118
 
5.1%
1 911
 
4.1%
mm 617
 
2.8%
x 407
 
1.8%
pellet 279
 
1.3%
Other values (853) 9297
42.2%
2023-12-12T20:10:32.014925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20321
 
14.7%
m 9884
 
7.2%
e 8998
 
6.5%
s 7691
 
5.6%
: 7390
 
5.4%
i 7221
 
5.2%
a 6480
 
4.7%
t 6152
 
4.5%
p 5189
 
3.8%
n 4959
 
3.6%
Other values (169) 53735
38.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 86915
63.0%
Space Separator 20321
 
14.7%
Other Punctuation 11161
 
8.1%
Decimal Number 10690
 
7.7%
Uppercase Letter 4818
 
3.5%
Other Letter 1498
 
1.1%
Math Symbol 772
 
0.6%
Close Punctuation 740
 
0.5%
Open Punctuation 740
 
0.5%
Dash Punctuation 255
 
0.2%
Other values (2) 110
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 192
12.8%
경 178
11.9%
코 106
 
7.1%
의 97
 
6.5%
높 97
 
6.5%
어 93
 
6.2%
내 89
 
5.9%
외 89
 
5.9%
로 87
 
5.8%
토 86
 
5.7%
Other values (75) 384
25.6%
Lowercase Letter
ValueCountFrequency (%)
m 9884
11.4%
e 8998
10.4%
s 7691
 
8.8%
i 7221
 
8.3%
a 6480
 
7.5%
t 6152
 
7.1%
p 5189
 
6.0%
n 4959
 
5.7%
k 4366
 
5.0%
h 3952
 
4.5%
Other values (20) 22023
25.3%
Uppercase Letter
ValueCountFrequency (%)
B 1501
31.2%
D 1284
26.7%
P 318
 
6.6%
X 225
 
4.7%
C 187
 
3.9%
T 183
 
3.8%
S 164
 
3.4%
E 138
 
2.9%
A 129
 
2.7%
F 128
 
2.7%
Other values (17) 561
 
11.6%
Decimal Number
ValueCountFrequency (%)
1 3554
33.2%
5 1530
14.3%
0 1426
13.3%
2 1281
 
12.0%
3 1145
 
10.7%
4 633
 
5.9%
6 450
 
4.2%
8 304
 
2.8%
7 264
 
2.5%
9 103
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 7390
66.2%
. 3078
27.6%
* 560
 
5.0%
/ 97
 
0.9%
% 22
 
0.2%
# 13
 
0.1%
& 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎜ 39
39.0%
㎝ 36
36.0%
㎛ 19
19.0%
㎟ 2
 
2.0%
㎠ 2
 
2.0%
℃ 1
 
1.0%
㎣ 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
= 564
73.1%
× 128
 
16.6%
~ 65
 
8.4%
± 10
 
1.3%
+ 5
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 702
94.9%
] 38
 
5.1%
Open Punctuation
ValueCountFrequency (%)
( 702
94.9%
[ 38
 
5.1%
Other Number
ValueCountFrequency (%)
³ 6
60.0%
₂ 4
40.0%
Space Separator
ValueCountFrequency (%)
20321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 91606
66.4%
Common 44789
32.5%
Hangul 1498
 
1.1%
Greek 95
 
0.1%
Cyrillic 32
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 192
12.8%
경 178
11.9%
코 106
 
7.1%
의 97
 
6.5%
높 97
 
6.5%
어 93
 
6.2%
내 89
 
5.9%
외 89
 
5.9%
로 87
 
5.8%
토 86
 
5.7%
Other values (75) 384
25.6%
Latin
ValueCountFrequency (%)
m 9884
 
10.8%
e 8998
 
9.8%
s 7691
 
8.4%
i 7221
 
7.9%
a 6480
 
7.1%
t 6152
 
6.7%
p 5189
 
5.7%
n 4959
 
5.4%
k 4366
 
4.8%
h 3952
 
4.3%
Other values (42) 26714
29.2%
Common
ValueCountFrequency (%)
20321
45.4%
: 7390
 
16.5%
1 3554
 
7.9%
. 3078
 
6.9%
5 1530
 
3.4%
0 1426
 
3.2%
2 1281
 
2.9%
3 1145
 
2.6%
) 702
 
1.6%
( 702
 
1.6%
Other values (27) 3660
 
8.2%
Greek
ValueCountFrequency (%)
Φ 61
64.2%
φ 15
 
15.8%
μ 13
 
13.7%
π 6
 
6.3%
Cyrillic
ValueCountFrequency (%)
ф 32
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 136122
98.6%
Hangul 1498
 
1.1%
None 268
 
0.2%
CJK Compat 99
 
0.1%
Cyrillic 32
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20321
 
14.9%
m 9884
 
7.3%
e 8998
 
6.6%
s 7691
 
5.7%
: 7390
 
5.4%
i 7221
 
5.3%
a 6480
 
4.8%
t 6152
 
4.5%
p 5189
 
3.8%
n 4959
 
3.6%
Other values (66) 51837
38.1%
Hangul
ValueCountFrequency (%)
이 192
12.8%
경 178
11.9%
코 106
 
7.1%
의 97
 
6.5%
높 97
 
6.5%
어 93
 
6.2%
내 89
 
5.9%
외 89
 
5.9%
로 87
 
5.8%
토 86
 
5.7%
Other values (75) 384
25.6%
None
ValueCountFrequency (%)
× 128
47.8%
Φ 61
22.8%
Ø 24
 
9.0%
φ 15
 
5.6%
μ 13
 
4.9%
± 10
 
3.7%
³ 6
 
2.2%
π 6
 
2.2%
₂ 4
 
1.5%
ø 1
 
0.4%
CJK Compat
ValueCountFrequency (%)
㎜ 39
39.4%
㎝ 36
36.4%
㎛ 19
19.2%
㎟ 2
 
2.0%
㎠ 2
 
2.0%
㎣ 1
 
1.0%
Cyrillic
ValueCountFrequency (%)
ф 32
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

생성일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9961 
2010-03-29
 
39

Length

Max length10
Median length4
Mean length4.0234
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> 9961
99.6%
2010-03-29 39
 
0.4%

Length

2023-12-12T20:10:32.203103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:10:32.347754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9961
99.6%
2010-03-29 39
 
0.4%

Interactions

2023-12-12T20:10:18.361770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:17.998388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:18.541229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:10:18.192932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:10:32.431090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
오차범위변화물성값
오차범위1.000NaN
변화물성값NaN1.000
2023-12-12T20:10:32.551210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
오차범위변화물성값생성일
오차범위1.000NaN1.000
변화물성값NaN1.0000.000
생성일1.0000.0001.000

Missing values

2023-12-12T20:10:18.834916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:10:19.242719image/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.
2023-12-12T20:10:19.597925image/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

물성시퀀스소재시퀀스물성명오차범위측정방법측정장비임시단위측정조건평균값변화물성값샘플종류생성일
42278PRO-1000049571M1071409000000241<NA><NA>Impedance analyzer<NA>after 250℃ reflow0.01<NA>shape: platy structure<NA>
2330PRO-0000001551M0033112102020009<NA><NA><NA><NA><NA><NA>21.2type: Bulk shape: Pellet amount: 1<NA>
91508PRO-1000126327M1222652105000025<NA><NA><NA><NA><NA>11.5<NA><NA><NA>
91585PRO-1000123371M1216001400000010<NA>resonance-antiresonance method4294A. Agilent Ltd.<NA><NA>760<NA>12 X 3 X 1mm<NA>
57471PRO-1000083983M1121464000000130<NA><NA>HP 4294A<NA><NA><NA><NA><NA><NA>
34254PRO-1000015724M1031955000000010<NA><NA><NA><NA><NA>Red<NA><NA><NA>
79841PRO-1000109052M1188519000000210<NA>FE test systemPrecisionPremier II; Radiant Technologies Inc. Albuquerque. NM<NA><NA>negative strain<NA>disc<NA>
6395PRO-0000021649M0064181202030003<NA><NA><NA><NA><NA>2.37<NA>type: Bulk shape: Bar amount: 10 dimension: 3*4*35 mm<NA>
52028PRO-1000081483M1115139000000202<NA><NA>Impedance/Gain analyzer. HP4194A<NA>at 1 KHz0.08<NA>disk diameter:10mm. thickness: 1~2mm<NA>
73976PRO-1000104595M11759712020300030.06determined from the ratio of bulk density to true densitycomputed from theweight-to-volume ratio<NA><NA>0.355<NA><NA><NA>
물성시퀀스소재시퀀스물성명오차범위측정방법측정장비임시단위측정조건평균값변화물성값샘플종류생성일
13750PRO-0000011125M002632NaN<NA><NA><NA><NA><NA>705<NA>type: Bulk shape: Disk amount: 1<NA>
84774PRO-1000109138M1188734000000084<NA>-Berlincourtmeter(APC. YE 2730A)<NA>-<NA><NA>disc<NA>
20104PRO-0000004922M0044291503020105<NA><NA><NA><NA><NA>2040<NA><NA><NA>
25601PRO-0000009108M0016354000000034<NA><NA><NA><NA><NA><NA><NA>type: Bulk shape: Disk amount: 1<NA>
10995PRO-0000021421M0046024000000034<NA><NA><NA><NA><NA><NA><NA>type: Bulk shape: Disk amount: 1<NA>
47323PRO-1000071101M1092999000000108<NA><NA><NA><NA>mol% SnO27.56<NA><NA><NA>
32808PRO-1000016308M1032455000000007<NA><NA><NA><NA><NA>423<NA><NA><NA>
83264PRO-1000108757M1187281202040015<NA>C-V charcteristics (Bias step 0.1V. Delay time 0.2sec. Frequency 1kHz. temperture 23. Hygrometry 50+_10%)4294A precision LCR meter. HP<NA><NA>1560<NA><NA><NA>
74133PRO-1000101240M1165784000000255<NA>surface profilerVeeco dektak 150<NA>R.T.0.00101<NA><NA><NA>
61681PRO-1000093401M1149391400000010<NA><NA><NA><NA><NA><NA><NA><NA><NA>