Overview

Dataset statistics

Number of variables15
Number of observations4630
Missing cells17542
Missing cells (%)25.3%
Duplicate rows559
Duplicate rows (%)12.1%
Total size in memory547.2 KiB
Average record size in memory121.0 B

Variable types

Categorical2
Text10
DateTime2
Numeric1

Dataset

Description항만구역에서 화물을 선적, 하역, 운송, 보관하는데 사용되는 항만시설장비의 설치항만, 시설장비명 , 취급화물, 제조및설치검사일, 하중 등의 정보를 제공
Author해양수산부
URLhttps://www.data.go.kr/data/15088595/fileData.do

Alerts

Dataset has 559 (12.1%) duplicate rowsDuplicates
가격(대당) is highly overall correlated with 항만명High correlation
항만명 is highly overall correlated with 가격(대당)High correlation
제조-설치검사일 has 49 (1.1%) missing valuesMissing
가격(대당) has 424 (9.2%) missing valuesMissing
자중_톤 has 453 (9.8%) missing valuesMissing
정격하중_톤 has 2151 (46.5%) missing valuesMissing
최대바퀴하중_최대접지하중 has 3326 (71.8%) missing valuesMissing
정격마력 has 2926 (63.2%) missing valuesMissing
길이_너비_높이 has 1099 (23.7%) missing valuesMissing
처리능력_적재 has 3449 (74.5%) missing valuesMissing
레일간격_미터 has 3665 (79.2%) missing valuesMissing
가격(대당) is highly skewed (γ1 = 28.5453253)Skewed

Reproduction

Analysis started2023-12-12 19:51:32.848019
Analysis finished2023-12-12 19:51:35.288657
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

항만명
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size36.3 KiB
부산신항
1328 
부산항 북항
1089 
광양항
523 
인천신항
328 
평택ㆍ당진항
273 
Other values (31)
1089 

Length

Max length7
Median length6
Mean length4.5857451
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
부산신항 1328
28.7%
부산항 북항 1089
23.5%
광양항 523
 
11.3%
인천신항 328
 
7.1%
평택ㆍ당진항 273
 
5.9%
인천항 남항 197
 
4.3%
대산항 172
 
3.7%
동해ㆍ묵호항 103
 
2.2%
울산항 신항 80
 
1.7%
인천항 북항 60
 
1.3%
Other values (26) 477
 
10.3%

Length

2023-12-13T04:51:35.398886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산신항 1328
21.7%
북항 1158
18.9%
부산항 1095
17.9%
광양항 523
 
8.5%
인천신항 328
 
5.3%
인천항 299
 
4.9%
평택ㆍ당진항 273
 
4.5%
남항 197
 
3.2%
대산항 172
 
2.8%
신항 138
 
2.3%
Other values (23) 621
10.1%

부두
Text

Distinct269
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size36.3 KiB
2023-12-13T04:51:35.770243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length6.9572354
Min length1

Characters and Unicode

Total characters32212
Distinct characters178
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)1.2%

Sample

1st row경인항 인천터미널 컨테이너부두 1~3번 선석
2nd row인천터미널
3rd row컨테이너부두
4th row컨테이너부두
5th row컨테이너부두
ValueCountFrequency (%)
부두 566
 
8.4%
자성대 465
 
6.9%
4부두 343
 
5.1%
신선대부두 338
 
5.0%
북컨테이너터미널(부산신항 309
 
4.6%
2부두 296
 
4.4%
신항 292
 
4.3%
제 272
 
4.0%
감만부두 272
 
4.0%
5부두 213
 
3.2%
Other values (258) 3386
50.1%
2023-12-13T04:51:36.356411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 4361
 
13.5%
두 3877
 
12.0%
2125
 
6.6%
신 1295
 
4.0%
항 1007
 
3.1%
대 883
 
2.7%
컨 848
 
2.6%
이 834
 
2.6%
테 827
 
2.6%
너 825
 
2.6%
Other values (168) 15330
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24719
76.7%
Decimal Number 2936
 
9.1%
Space Separator 2125
 
6.6%
Uppercase Letter 649
 
2.0%
Open Punctuation 528
 
1.6%
Close Punctuation 528
 
1.6%
Dash Punctuation 399
 
1.2%
Math Symbol 207
 
0.6%
Other Punctuation 112
 
0.3%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 4361
17.6%
두 3877
15.7%
신 1295
 
5.2%
항 1007
 
4.1%
대 883
 
3.6%
컨 848
 
3.4%
이 834
 
3.4%
테 827
 
3.3%
너 825
 
3.3%
선 652
 
2.6%
Other values (127) 9310
37.7%
Uppercase Letter
ValueCountFrequency (%)
A 130
20.0%
S 77
11.9%
K 74
11.4%
G 73
11.2%
L 65
10.0%
N 60
9.2%
E 53
8.2%
C 40
 
6.2%
Y 21
 
3.2%
O 21
 
3.2%
Other values (8) 35
 
5.4%
Decimal Number
ValueCountFrequency (%)
2 812
27.7%
1 766
26.1%
4 436
14.9%
3 259
 
8.8%
5 245
 
8.3%
6 190
 
6.5%
9 141
 
4.8%
7 49
 
1.7%
8 29
 
1.0%
0 9
 
0.3%
Other Punctuation
ValueCountFrequency (%)
# 84
75.0%
. 16
 
14.3%
, 11
 
9.8%
/ 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
t 4
50.0%
e 2
25.0%
s 2
25.0%
Space Separator
ValueCountFrequency (%)
2125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 399
100.0%
Math Symbol
ValueCountFrequency (%)
~ 207
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24720
76.7%
Common 6835
 
21.2%
Latin 657
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 4361
17.6%
두 3877
15.7%
신 1295
 
5.2%
항 1007
 
4.1%
대 883
 
3.6%
컨 848
 
3.4%
이 834
 
3.4%
테 827
 
3.3%
너 825
 
3.3%
선 652
 
2.6%
Other values (128) 9311
37.7%
Latin
ValueCountFrequency (%)
A 130
19.8%
S 77
11.7%
K 74
11.3%
G 73
11.1%
L 65
9.9%
N 60
9.1%
E 53
8.1%
C 40
 
6.1%
Y 21
 
3.2%
O 21
 
3.2%
Other values (11) 43
 
6.5%
Common
ValueCountFrequency (%)
2125
31.1%
2 812
 
11.9%
1 766
 
11.2%
( 528
 
7.7%
) 528
 
7.7%
4 436
 
6.4%
- 399
 
5.8%
3 259
 
3.8%
5 245
 
3.6%
~ 207
 
3.0%
Other values (9) 530
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24719
76.7%
ASCII 7492
 
23.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 4361
17.6%
두 3877
15.7%
신 1295
 
5.2%
항 1007
 
4.1%
대 883
 
3.6%
컨 848
 
3.4%
이 834
 
3.4%
테 827
 
3.3%
너 825
 
3.3%
선 652
 
2.6%
Other values (127) 9310
37.7%
ASCII
ValueCountFrequency (%)
2125
28.4%
2 812
 
10.8%
1 766
 
10.2%
( 528
 
7.0%
) 528
 
7.0%
4 436
 
5.8%
- 399
 
5.3%
3 259
 
3.5%
5 245
 
3.3%
~ 207
 
2.8%
Other values (30) 1187
15.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

시설장비명
Categorical

Distinct30
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size36.3 KiB
야드 섀시(Y/C)
1476 
야드 트랙터(Y/T)
1012 
로딩 암(L/A)
508 
RMGC
296 
벨트 컨베이어(B/C)
258 
Other values (25)
1080 

Length

Max length16
Median length15
Mean length10.038445
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row야드 트랙터(Y/T)
2nd rowRMGC
3rd row야드 섀시(Y/C)
4th row야드 섀시(Y/C)
5th row야드 트랙터(Y/T)

Common Values

ValueCountFrequency (%)
야드 섀시(Y/C) 1476
31.9%
야드 트랙터(Y/T) 1012
21.9%
로딩 암(L/A) 508
 
11.0%
RMGC 296
 
6.4%
벨트 컨베이어(B/C) 258
 
5.6%
컨테이너 크레인(C/C) 169
 
3.7%
RTGC 158
 
3.4%
갠트리 크레인(G/C) 149
 
3.2%
리치 스태커(R/S) 107
 
2.3%
연속식 쉽 언로더(CSU) 50
 
1.1%
Other values (20) 447
 
9.7%

Length

2023-12-13T04:51:36.546579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
야드 2488
28.4%
섀시(y/c 1476
16.9%
트랙터(y/t 1012
11.6%
로딩 508
 
5.8%
암(l/a 508
 
5.8%
rmgc 296
 
3.4%
벨트 258
 
2.9%
컨베이어(b/c 258
 
2.9%
컨테이너 169
 
1.9%
크레인(c/c 169
 
1.9%
Other values (40) 1604
18.3%

용도취급화물
Text

Distinct365
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size36.3 KiB
2023-12-13T04:51:36.890051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length48
Mean length5.6699784
Min length1

Characters and Unicode

Total characters26252
Distinct characters252
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)3.4%

Sample

1st row컨테이너
2nd row철강재운반용
3rd row컨테이너
4th row컨테이너
5th row컨테이너
ValueCountFrequency (%)
컨테이너 2493
40.7%
하역 588
 
9.6%
적양하용 465
 
7.6%
하역장비 254
 
4.1%
석탄 106
 
1.7%
석회석 100
 
1.6%
하역,반출입 96
 
1.6%
운반용 49
 
0.8%
48
 
0.8%
선적용 48
 
0.8%
Other values (399) 1875
30.6%
2023-12-13T04:51:37.441996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2651
 
10.1%
테 2536
 
9.7%
컨 2529
 
9.6%
너 2529
 
9.6%
하 1631
 
6.2%
1502
 
5.7%
역 1115
 
4.2%
용 701
 
2.7%
석 671
 
2.6%
, 630
 
2.4%
Other values (242) 9757
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20904
79.6%
Uppercase Letter 1658
 
6.3%
Space Separator 1502
 
5.7%
Other Punctuation 741
 
2.8%
Lowercase Letter 641
 
2.4%
Open Punctuation 309
 
1.2%
Close Punctuation 305
 
1.2%
Decimal Number 113
 
0.4%
Dash Punctuation 79
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2651
12.7%
테 2536
12.1%
컨 2529
12.1%
너 2529
12.1%
하 1631
 
7.8%
역 1115
 
5.3%
용 701
 
3.4%
석 671
 
3.2%
적 572
 
2.7%
양 502
 
2.4%
Other values (178) 5467
26.2%
Uppercase Letter
ValueCountFrequency (%)
E 169
 
10.2%
N 168
 
10.1%
L 165
 
10.0%
C 126
 
7.6%
G 125
 
7.5%
T 99
 
6.0%
P 94
 
5.7%
R 83
 
5.0%
M 74
 
4.5%
O 74
 
4.5%
Other values (16) 481
29.0%
Lowercase Letter
ValueCountFrequency (%)
e 109
17.0%
l 67
10.5%
a 57
 
8.9%
r 47
 
7.3%
t 43
 
6.7%
i 40
 
6.2%
o 36
 
5.6%
n 34
 
5.3%
y 27
 
4.2%
u 27
 
4.2%
Other values (14) 154
24.0%
Decimal Number
ValueCountFrequency (%)
4 44
38.9%
1 30
26.5%
2 18
15.9%
3 15
 
13.3%
5 5
 
4.4%
9 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 630
85.0%
/ 105
 
14.2%
. 4
 
0.5%
· 2
 
0.3%
Space Separator
ValueCountFrequency (%)
1502
100.0%
Open Punctuation
ValueCountFrequency (%)
( 309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20902
79.6%
Common 3049
 
11.6%
Latin 2299
 
8.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2651
12.7%
테 2536
12.1%
컨 2529
12.1%
너 2529
12.1%
하 1631
 
7.8%
역 1115
 
5.3%
용 701
 
3.4%
석 671
 
3.2%
적 572
 
2.7%
양 502
 
2.4%
Other values (176) 5465
26.1%
Latin
ValueCountFrequency (%)
E 169
 
7.4%
N 168
 
7.3%
L 165
 
7.2%
C 126
 
5.5%
G 125
 
5.4%
e 109
 
4.7%
T 99
 
4.3%
P 94
 
4.1%
R 83
 
3.6%
M 74
 
3.2%
Other values (40) 1087
47.3%
Common
ValueCountFrequency (%)
1502
49.3%
, 630
20.7%
( 309
 
10.1%
) 305
 
10.0%
/ 105
 
3.4%
- 79
 
2.6%
4 44
 
1.4%
1 30
 
1.0%
2 18
 
0.6%
3 15
 
0.5%
Other values (4) 12
 
0.4%
Han
ValueCountFrequency (%)
厚 1
50.0%
板 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20900
79.6%
ASCII 5346
 
20.4%
None 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2651
12.7%
테 2536
12.1%
컨 2529
12.1%
너 2529
12.1%
하 1631
 
7.8%
역 1115
 
5.3%
용 701
 
3.4%
석 671
 
3.2%
적 572
 
2.7%
양 502
 
2.4%
Other values (175) 5463
26.1%
ASCII
ValueCountFrequency (%)
1502
28.1%
, 630
 
11.8%
( 309
 
5.8%
) 305
 
5.7%
E 169
 
3.2%
N 168
 
3.1%
L 165
 
3.1%
C 126
 
2.4%
G 125
 
2.3%
e 109
 
2.0%
Other values (53) 1738
32.5%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK
ValueCountFrequency (%)
厚 1
50.0%
板 1
50.0%

제조-설치검사일
Date

MISSING 

Distinct748
Distinct (%)16.3%
Missing49
Missing (%)1.1%
Memory size36.3 KiB
Minimum1900-01-01 00:00:00
Maximum2022-08-31 00:00:00
2023-12-13T04:51:37.646538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:37.838573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

가격(대당)
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct706
Distinct (%)16.8%
Missing424
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean1446.2323
Minimum1
Maximum275000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.8 KiB
2023-12-13T04:51:37.992733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q123
median124
Q31000
95-th percentile6955
Maximum275000
Range274999
Interquartile range (IQR)977

Descriptive statistics

Standard deviation8812.5808
Coefficient of variation (CV)6.0934753
Kurtosis881.58022
Mean1446.2323
Median Absolute Deviation (MAD)115
Skewness28.545325
Sum6082853
Variance77661580
MonotonicityNot monotonic
2023-12-13T04:51:38.161894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 117
 
2.5%
25 110
 
2.4%
8 98
 
2.1%
160 98
 
2.1%
23 92
 
2.0%
9 86
 
1.9%
19 85
 
1.8%
17 70
 
1.5%
112 69
 
1.5%
22 64
 
1.4%
Other values (696) 3317
71.6%
(Missing) 424
 
9.2%
ValueCountFrequency (%)
1 47
1.0%
2 52
1.1%
3 26
 
0.6%
4 13
 
0.3%
5 28
 
0.6%
6 40
0.9%
7 41
0.9%
8 98
2.1%
9 86
1.9%
10 40
0.9%
ValueCountFrequency (%)
275000 4
0.1%
29079 2
< 0.1%
20267 1
 
< 0.1%
18700 2
< 0.1%
18500 1
 
< 0.1%
17500 1
 
< 0.1%
17300 1
 
< 0.1%
17045 2
< 0.1%
16986 1
 
< 0.1%
16985 2
< 0.1%

자중_톤
Text

MISSING 

Distinct580
Distinct (%)13.9%
Missing453
Missing (%)9.8%
Memory size36.3 KiB
2023-12-13T04:51:38.600006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length3.6727316
Min length1

Characters and Unicode

Total characters15341
Distinct characters43
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)5.6%

Sample

1st row8톤
2nd row112
3rd row6.7
4th row6.7
5th row6.7
ValueCountFrequency (%)
톤 478
 
10.0%
8.4 165
 
3.4%
twin 164
 
3.4%
7.4 145
 
3.0%
7 142
 
3.0%
8 139
 
2.9%
40ft 133
 
2.8%
9 122
 
2.5%
ton/unit 121
 
2.5%
8톤 120
 
2.5%
Other values (531) 3058
63.9%
2023-12-13T04:51:39.299420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1815
11.8%
톤 1522
 
9.9%
8 1154
 
7.5%
6 1088
 
7.1%
5 1043
 
6.8%
1 1028
 
6.7%
4 1016
 
6.6%
7 984
 
6.4%
0 969
 
6.3%
2 714
 
4.7%
Other values (33) 4008
26.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9151
59.7%
Other Punctuation 2058
 
13.4%
Other Letter 1568
 
10.2%
Uppercase Letter 1222
 
8.0%
Space Separator 656
 
4.3%
Lowercase Letter 645
 
4.2%
Dash Punctuation 31
 
0.2%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
톤 1522
97.1%
약 24
 
1.5%
기 4
 
0.3%
고 2
 
0.1%
장 2
 
0.1%
연 2
 
0.1%
도 2
 
0.1%
인 2
 
0.1%
양 2
 
0.1%
터 2
 
0.1%
Other values (3) 4
 
0.3%
Decimal Number
ValueCountFrequency (%)
8 1154
12.6%
6 1088
11.9%
5 1043
11.4%
1 1028
11.2%
4 1016
11.1%
7 984
10.8%
0 969
10.6%
2 714
7.8%
9 593
6.5%
3 562
6.1%
Uppercase Letter
ValueCountFrequency (%)
T 454
37.2%
N 165
 
13.5%
I 164
 
13.4%
W 164
 
13.4%
F 153
 
12.5%
U 121
 
9.9%
O 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
n 257
39.8%
o 136
21.1%
t 129
20.0%
i 121
18.8%
x 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 1815
88.2%
/ 123
 
6.0%
, 120
 
5.8%
Space Separator
ValueCountFrequency (%)
656
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11906
77.6%
Latin 1867
 
12.2%
Hangul 1568
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1815
15.2%
8 1154
9.7%
6 1088
9.1%
5 1043
8.8%
1 1028
8.6%
4 1016
8.5%
7 984
8.3%
0 969
8.1%
2 714
 
6.0%
656
 
5.5%
Other values (8) 1439
12.1%
Hangul
ValueCountFrequency (%)
톤 1522
97.1%
약 24
 
1.5%
기 4
 
0.3%
고 2
 
0.1%
장 2
 
0.1%
연 2
 
0.1%
도 2
 
0.1%
인 2
 
0.1%
양 2
 
0.1%
터 2
 
0.1%
Other values (3) 4
 
0.3%
Latin
ValueCountFrequency (%)
T 454
24.3%
n 257
13.8%
N 165
 
8.8%
I 164
 
8.8%
W 164
 
8.8%
F 153
 
8.2%
o 136
 
7.3%
t 129
 
6.9%
U 121
 
6.5%
i 121
 
6.5%
Other values (2) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13773
89.8%
Hangul 1568
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1815
13.2%
8 1154
 
8.4%
6 1088
 
7.9%
5 1043
 
7.6%
1 1028
 
7.5%
4 1016
 
7.4%
7 984
 
7.1%
0 969
 
7.0%
2 714
 
5.2%
656
 
4.8%
Other values (20) 3306
24.0%
Hangul
ValueCountFrequency (%)
톤 1522
97.1%
약 24
 
1.5%
기 4
 
0.3%
고 2
 
0.1%
장 2
 
0.1%
연 2
 
0.1%
도 2
 
0.1%
인 2
 
0.1%
양 2
 
0.1%
터 2
 
0.1%
Other values (3) 4
 
0.3%

정격하중_톤
Text

MISSING 

Distinct171
Distinct (%)6.9%
Missing2151
Missing (%)46.5%
Memory size36.3 KiB
2023-12-13T04:51:39.601949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length3.6361436
Min length1

Characters and Unicode

Total characters9014
Distinct characters76
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)2.7%

Sample

1st row40
2nd row40.6
3rd row40.6
4th row40.6
5th row40.6
ValueCountFrequency (%)
65 708
24.2%
40 232
 
7.9%
40.6 198
 
6.8%
톤 190
 
6.5%
65톤 164
 
5.6%
40.6톤 138
 
4.7%
50 138
 
4.7%
60 117
 
4.0%
65(최대적재하중 70
 
2.4%
ton 70
 
2.4%
Other values (150) 897
30.7%
2023-12-13T04:51:40.068050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 1554
17.2%
5 1406
15.6%
0 1218
13.5%
톤 829
9.2%
4 783
8.7%
449
 
5.0%
. 446
 
4.9%
1 171
 
1.9%
n 165
 
1.8%
8 160
 
1.8%
Other values (66) 1833
20.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5519
61.2%
Other Letter 1449
 
16.1%
Lowercase Letter 581
 
6.4%
Other Punctuation 577
 
6.4%
Space Separator 449
 
5.0%
Uppercase Letter 227
 
2.5%
Open Punctuation 87
 
1.0%
Close Punctuation 87
 
1.0%
Dash Punctuation 32
 
0.4%
Other Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
톤 829
57.2%
중 94
 
6.5%
하 84
 
5.8%
재 71
 
4.9%
적 71
 
4.9%
대 71
 
4.9%
최 71
 
4.9%
글 31
 
2.1%
싱 31
 
2.1%
정 14
 
1.0%
Other values (16) 82
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
n 165
28.4%
o 141
24.3%
e 43
 
7.4%
i 39
 
6.7%
g 38
 
6.5%
a 37
 
6.4%
m 30
 
5.2%
l 22
 
3.8%
r 20
 
3.4%
w 17
 
2.9%
Other values (6) 29
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
T 150
66.1%
S 22
 
9.7%
C 15
 
6.6%
B 12
 
5.3%
N 7
 
3.1%
A 5
 
2.2%
H 5
 
2.2%
O 3
 
1.3%
L 2
 
0.9%
R 2
 
0.9%
Other values (4) 4
 
1.8%
Decimal Number
ValueCountFrequency (%)
6 1554
28.2%
5 1406
25.5%
0 1218
22.1%
4 783
14.2%
1 171
 
3.1%
8 160
 
2.9%
3 107
 
1.9%
2 74
 
1.3%
7 25
 
0.5%
9 21
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 446
77.3%
, 58
 
10.1%
: 42
 
7.3%
/ 31
 
5.4%
Other Symbol
ValueCountFrequency (%)
㎡ 4
66.7%
㎥ 2
33.3%
Space Separator
ValueCountFrequency (%)
449
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6757
75.0%
Hangul 1449
 
16.1%
Latin 808
 
9.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 165
20.4%
T 150
18.6%
o 141
17.5%
e 43
 
5.3%
i 39
 
4.8%
g 38
 
4.7%
a 37
 
4.6%
m 30
 
3.7%
l 22
 
2.7%
S 22
 
2.7%
Other values (20) 121
15.0%
Hangul
ValueCountFrequency (%)
톤 829
57.2%
중 94
 
6.5%
하 84
 
5.8%
재 71
 
4.9%
적 71
 
4.9%
대 71
 
4.9%
최 71
 
4.9%
글 31
 
2.1%
싱 31
 
2.1%
정 14
 
1.0%
Other values (16) 82
 
5.7%
Common
ValueCountFrequency (%)
6 1554
23.0%
5 1406
20.8%
0 1218
18.0%
4 783
11.6%
449
 
6.6%
. 446
 
6.6%
1 171
 
2.5%
8 160
 
2.4%
3 107
 
1.6%
( 87
 
1.3%
Other values (10) 376
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7559
83.9%
Hangul 1449
 
16.1%
CJK Compat 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 1554
20.6%
5 1406
18.6%
0 1218
16.1%
4 783
10.4%
449
 
5.9%
. 446
 
5.9%
1 171
 
2.3%
n 165
 
2.2%
8 160
 
2.1%
T 150
 
2.0%
Other values (38) 1057
14.0%
Hangul
ValueCountFrequency (%)
톤 829
57.2%
중 94
 
6.5%
하 84
 
5.8%
재 71
 
4.9%
적 71
 
4.9%
대 71
 
4.9%
최 71
 
4.9%
글 31
 
2.1%
싱 31
 
2.1%
정 14
 
1.0%
Other values (16) 82
 
5.7%
CJK Compat
ValueCountFrequency (%)
㎡ 4
66.7%
㎥ 2
33.3%

최대바퀴하중_최대접지하중
Text

MISSING 

Distinct237
Distinct (%)18.2%
Missing3326
Missing (%)71.8%
Memory size36.3 KiB
2023-12-13T04:51:40.416342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length50
Mean length6.9217791
Min length1

Characters and Unicode

Total characters9026
Distinct characters87
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)7.1%

Sample

1st row14톤/개
2nd row19.4톤/개
3rd row19.4톤/개
4th row19.4톤/개
5th row19.4톤/개
ValueCountFrequency (%)
톤/개 201
 
9.9%
79
 
3.9%
3.35톤/개 69
 
3.4%
육측 69
 
3.4%
해측 69
 
3.4%
5.6 68
 
3.3%
운전시 62
 
3.1%
휴지시 62
 
3.1%
8 58
 
2.9%
8.5 50
 
2.5%
Other values (268) 1245
61.3%
2023-12-13T04:51:40.975755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 852
 
9.4%
757
 
8.4%
/ 702
 
7.8%
톤 677
 
7.5%
5 622
 
6.9%
1 567
 
6.3%
개 549
 
6.1%
2 517
 
5.7%
3 517
 
5.7%
8 408
 
4.5%
Other values (77) 2858
31.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3777
41.8%
Other Letter 2189
24.3%
Other Punctuation 1829
20.3%
Space Separator 757
 
8.4%
Lowercase Letter 194
 
2.1%
Other Symbol 90
 
1.0%
Uppercase Letter 81
 
0.9%
Open Punctuation 36
 
0.4%
Close Punctuation 36
 
0.4%
Dash Punctuation 35
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
톤 677
30.9%
개 549
25.1%
측 190
 
8.7%
시 131
 
6.0%
육 100
 
4.6%
해 95
 
4.3%
전 72
 
3.3%
지 67
 
3.1%
휴 62
 
2.8%
운 62
 
2.8%
Other values (27) 184
 
8.4%
Lowercase Letter
ValueCountFrequency (%)
a 40
20.6%
e 33
17.0%
l 26
13.4%
x 16
 
8.2%
k 15
 
7.7%
g 15
 
7.7%
n 13
 
6.7%
o 10
 
5.2%
t 10
 
5.2%
d 7
 
3.6%
Other values (4) 9
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
S 13
16.0%
L 9
11.1%
E 8
9.9%
H 8
9.9%
B 8
9.9%
A 6
7.4%
D 6
7.4%
T 5
 
6.2%
R 4
 
4.9%
F 4
 
4.9%
Other values (4) 10
12.3%
Decimal Number
ValueCountFrequency (%)
5 622
16.5%
1 567
15.0%
2 517
13.7%
3 517
13.7%
8 408
10.8%
7 292
7.7%
6 288
7.6%
0 214
 
5.7%
4 211
 
5.6%
9 141
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 852
46.6%
/ 702
38.4%
, 190
 
10.4%
: 85
 
4.6%
Other Symbol
ValueCountFrequency (%)
㎡ 87
96.7%
㎏ 2
 
2.2%
㎠ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
757
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
± 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6562
72.7%
Hangul 2189
 
24.3%
Latin 275
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
톤 677
30.9%
개 549
25.1%
측 190
 
8.7%
시 131
 
6.0%
육 100
 
4.6%
해 95
 
4.3%
전 72
 
3.3%
지 67
 
3.1%
휴 62
 
2.8%
운 62
 
2.8%
Other values (27) 184
 
8.4%
Latin
ValueCountFrequency (%)
a 40
14.5%
e 33
 
12.0%
l 26
 
9.5%
x 16
 
5.8%
k 15
 
5.5%
g 15
 
5.5%
n 13
 
4.7%
S 13
 
4.7%
o 10
 
3.6%
t 10
 
3.6%
Other values (18) 84
30.5%
Common
ValueCountFrequency (%)
. 852
13.0%
757
11.5%
/ 702
10.7%
5 622
9.5%
1 567
8.6%
2 517
7.9%
3 517
7.9%
8 408
 
6.2%
7 292
 
4.4%
6 288
 
4.4%
Other values (12) 1040
15.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6745
74.7%
Hangul 2189
 
24.3%
CJK Compat 90
 
1.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 852
12.6%
757
11.2%
/ 702
10.4%
5 622
9.2%
1 567
8.4%
2 517
7.7%
3 517
7.7%
8 408
 
6.0%
7 292
 
4.3%
6 288
 
4.3%
Other values (36) 1223
18.1%
Hangul
ValueCountFrequency (%)
톤 677
30.9%
개 549
25.1%
측 190
 
8.7%
시 131
 
6.0%
육 100
 
4.6%
해 95
 
4.3%
전 72
 
3.3%
지 67
 
3.1%
휴 62
 
2.8%
운 62
 
2.8%
Other values (27) 184
 
8.4%
CJK Compat
ValueCountFrequency (%)
㎡ 87
96.7%
㎏ 2
 
2.2%
㎠ 1
 
1.1%
None
ValueCountFrequency (%)
± 2
100.0%

정격마력
Text

MISSING 

Distinct320
Distinct (%)18.8%
Missing2926
Missing (%)63.2%
Memory size36.3 KiB
2023-12-13T04:51:41.350476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length5.1737089
Min length1

Characters and Unicode

Total characters8816
Distinct characters54
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)9.0%

Sample

1st row205hp/2,500RPM마력
2nd row50/10/120
3rd row177
4th row205
5th row205
ValueCountFrequency (%)
마력 279
 
12.9%
220 174
 
8.1%
225 116
 
5.4%
215마력 97
 
4.5%
205 66
 
3.1%
205hp 57
 
2.6%
240마력 55
 
2.5%
173 51
 
2.4%
45
 
2.1%
174 42
 
1.9%
Other values (302) 1177
54.5%
2023-12-13T04:51:41.859185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1429
16.2%
0 985
11.2%
5 780
 
8.8%
1 734
 
8.3%
력 627
 
7.1%
마 625
 
7.1%
455
 
5.2%
3 440
 
5.0%
7 377
 
4.3%
4 324
 
3.7%
Other values (44) 2040
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5604
63.6%
Other Letter 1263
 
14.3%
Uppercase Letter 579
 
6.6%
Lowercase Letter 518
 
5.9%
Space Separator 455
 
5.2%
Other Punctuation 295
 
3.3%
Dash Punctuation 35
 
0.4%
Open Punctuation 24
 
0.3%
Close Punctuation 24
 
0.3%
Other Symbol 17
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 190
32.8%
P 84
14.5%
K 65
 
11.2%
W 48
 
8.3%
A 38
 
6.6%
V 37
 
6.4%
C 34
 
5.9%
M 32
 
5.5%
R 32
 
5.5%
S 13
 
2.2%
Other values (3) 6
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
p 192
37.1%
k 119
23.0%
w 107
20.7%
x 33
 
6.4%
h 20
 
3.9%
s 13
 
2.5%
z 7
 
1.4%
a 7
 
1.4%
r 5
 
1.0%
m 5
 
1.0%
Other values (2) 10
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 1429
25.5%
0 985
17.6%
5 780
13.9%
1 734
13.1%
3 440
 
7.9%
7 377
 
6.7%
4 324
 
5.8%
6 253
 
4.5%
8 227
 
4.1%
9 55
 
1.0%
Other Letter
ValueCountFrequency (%)
력 627
49.6%
마 625
49.5%
대 2
 
0.2%
약 2
 
0.2%
토 2
 
0.2%
탈 2
 
0.2%
출 2
 
0.2%
총 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 115
39.0%
, 101
34.2%
. 63
21.4%
* 12
 
4.1%
@ 4
 
1.4%
Space Separator
ValueCountFrequency (%)
455
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Symbol
ValueCountFrequency (%)
㎐ 17
100.0%
Math Symbol
ValueCountFrequency (%)
× 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6456
73.2%
Hangul 1263
 
14.3%
Latin 1097
 
12.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 192
17.5%
H 190
17.3%
k 119
10.8%
w 107
9.8%
P 84
7.7%
K 65
 
5.9%
W 48
 
4.4%
A 38
 
3.5%
V 37
 
3.4%
C 34
 
3.1%
Other values (15) 183
16.7%
Common
ValueCountFrequency (%)
2 1429
22.1%
0 985
15.3%
5 780
12.1%
1 734
11.4%
455
 
7.0%
3 440
 
6.8%
7 377
 
5.8%
4 324
 
5.0%
6 253
 
3.9%
8 227
 
3.5%
Other values (11) 452
 
7.0%
Hangul
ValueCountFrequency (%)
력 627
49.6%
마 625
49.5%
대 2
 
0.2%
약 2
 
0.2%
토 2
 
0.2%
탈 2
 
0.2%
출 2
 
0.2%
총 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7534
85.5%
Hangul 1263
 
14.3%
CJK Compat 17
 
0.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1429
19.0%
0 985
13.1%
5 780
10.4%
1 734
9.7%
455
 
6.0%
3 440
 
5.8%
7 377
 
5.0%
4 324
 
4.3%
6 253
 
3.4%
8 227
 
3.0%
Other values (34) 1530
20.3%
Hangul
ValueCountFrequency (%)
력 627
49.6%
마 625
49.5%
대 2
 
0.2%
약 2
 
0.2%
토 2
 
0.2%
탈 2
 
0.2%
출 2
 
0.2%
총 1
 
0.1%
CJK Compat
ValueCountFrequency (%)
㎐ 17
100.0%
None
ValueCountFrequency (%)
× 2
100.0%

길이_너비_높이
Text

MISSING 

Distinct734
Distinct (%)20.8%
Missing1099
Missing (%)23.7%
Memory size36.3 KiB
2023-12-13T04:51:42.152081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length38
Mean length14.672331
Min length1

Characters and Unicode

Total characters51808
Distinct characters92
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

Unique374 ?
Unique (%)10.6%

Sample

1st row5.04MX2.42MX3.08M
2nd row60*30*20
3rd row12.8*2.7*1.4
4th row12.8*2.7*1.4
5th row4.5*2.5*3.2
ValueCountFrequency (%)
세제곱미터 297
 
6.5%
x 239
 
5.2%
13.3*2.7*1.7 155
 
3.4%
4.759*2.464*3.2 96
 
2.1%
4.78*2.5*2.8 85
 
1.9%
4.72*2.43*2.99세제곱미터 69
 
1.5%
14.16*2.77*1.64 68
 
1.5%
5.48*2.50*3.16세제곱미터 67
 
1.5%
14.611*2.76*1.714 64
 
1.4%
48.9*24.38*33.19 60
 
1.3%
Other values (931) 3393
73.9%
2023-12-13T04:51:42.642829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 7839
15.1%
2 5507
10.6%
* 5411
10.4%
1 5306
10.2%
4 3472
 
6.7%
7 3095
 
6.0%
3 2978
 
5.7%
5 2875
 
5.5%
6 2313
 
4.5%
8 1668
 
3.2%
Other values (82) 11344
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30246
58.4%
Other Punctuation 13686
26.4%
Other Letter 3072
 
5.9%
Lowercase Letter 1773
 
3.4%
Space Separator 1157
 
2.2%
Math Symbol 863
 
1.7%
Uppercase Letter 470
 
0.9%
Close Punctuation 180
 
0.3%
Open Punctuation 180
 
0.3%
Other Symbol 151
 
0.3%
Other values (4) 30
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 662
21.5%
터 662
21.5%
곱 538
17.5%
제 538
17.5%
세 537
17.5%
직 27
 
0.9%
경 27
 
0.9%
치 14
 
0.5%
인 14
 
0.5%
이 10
 
0.3%
Other values (13) 43
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
X 222
47.2%
M 144
30.6%
A 20
 
4.3%
R 13
 
2.8%
O 9
 
1.9%
W 8
 
1.7%
B 6
 
1.3%
D 6
 
1.3%
T 6
 
1.3%
S 6
 
1.3%
Other values (9) 30
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
m 1457
82.2%
x 234
 
13.2%
a 14
 
0.8%
p 13
 
0.7%
o 13
 
0.7%
s 13
 
0.7%
f 5
 
0.3%
t 5
 
0.3%
n 3
 
0.2%
l 3
 
0.2%
Other values (6) 13
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 5507
18.2%
1 5306
17.5%
4 3472
11.5%
7 3095
10.2%
3 2978
9.8%
5 2875
9.5%
6 2313
7.6%
8 1668
 
5.5%
0 1661
 
5.5%
9 1371
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 7839
57.3%
* 5411
39.5%
, 309
 
2.3%
" 39
 
0.3%
/ 36
 
0.3%
: 25
 
0.2%
; 13
 
0.1%
& 13
 
0.1%
# 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
× 829
96.1%
= 32
 
3.7%
~ 1
 
0.1%
± 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎜ 141
93.4%
㎥ 6
 
4.0%
㎡ 4
 
2.6%
Modifier Symbol
ValueCountFrequency (%)
˝ 10
58.8%
^ 7
41.2%
Space Separator
ValueCountFrequency (%)
1157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 180
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Currency Symbol
ValueCountFrequency (%)
￠ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46493
89.7%
Hangul 3072
 
5.9%
Latin 2242
 
4.3%
Greek 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 7839
16.9%
2 5507
11.8%
* 5411
11.6%
1 5306
11.4%
4 3472
7.5%
7 3095
 
6.7%
3 2978
 
6.4%
5 2875
 
6.2%
6 2313
 
5.0%
8 1668
 
3.6%
Other values (24) 6029
13.0%
Latin
ValueCountFrequency (%)
m 1457
65.0%
x 234
 
10.4%
X 222
 
9.9%
M 144
 
6.4%
A 20
 
0.9%
a 14
 
0.6%
R 13
 
0.6%
p 13
 
0.6%
o 13
 
0.6%
s 13
 
0.6%
Other values (24) 99
 
4.4%
Hangul
ValueCountFrequency (%)
미 662
21.5%
터 662
21.5%
곱 538
17.5%
제 538
17.5%
세 537
17.5%
직 27
 
0.9%
경 27
 
0.9%
치 14
 
0.5%
인 14
 
0.5%
이 10
 
0.3%
Other values (13) 43
 
1.4%
Greek
ValueCountFrequency (%)
Φ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47735
92.1%
Hangul 3072
 
5.9%
None 832
 
1.6%
CJK Compat 151
 
0.3%
Modifier Letters 10
 
< 0.1%
Punctuation 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 7839
16.4%
2 5507
11.5%
* 5411
11.3%
1 5306
11.1%
4 3472
7.3%
7 3095
 
6.5%
3 2978
 
6.2%
5 2875
 
6.0%
6 2313
 
4.8%
8 1668
 
3.5%
Other values (50) 7271
15.2%
None
ValueCountFrequency (%)
× 829
99.6%
Φ 1
 
0.1%
± 1
 
0.1%
￠ 1
 
0.1%
Hangul
ValueCountFrequency (%)
미 662
21.5%
터 662
21.5%
곱 538
17.5%
제 538
17.5%
세 537
17.5%
직 27
 
0.9%
경 27
 
0.9%
치 14
 
0.5%
인 14
 
0.5%
이 10
 
0.3%
Other values (13) 43
 
1.4%
CJK Compat
ValueCountFrequency (%)
㎜ 141
93.4%
㎥ 6
 
4.0%
㎡ 4
 
2.6%
Modifier Letters
ValueCountFrequency (%)
˝ 10
100.0%
Punctuation
ValueCountFrequency (%)
“ 8
100.0%

처리능력_적재
Text

MISSING 

Distinct127
Distinct (%)10.8%
Missing3449
Missing (%)74.5%
Memory size36.3 KiB
2023-12-13T04:51:42.899066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length18
Mean length5.3209145
Min length1

Characters and Unicode

Total characters6284
Distinct characters65
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)2.5%

Sample

1st row7단 11열
2nd row7단 11열
3rd row5단 6열
4th row5단 6열
5th row5단 6열
ValueCountFrequency (%)
5단 222
 
12.4%
6열 158
 
8.8%
6단 133
 
7.4%
9열 94
 
5.2%
6단9열 80
 
4.5%
35van/hr 63
 
3.5%
60톤 61
 
3.4%
4단6열 56
 
3.1%
20van/hr 48
 
2.7%
7단 46
 
2.6%
Other values (110) 832
46.4%
2023-12-13T04:51:43.300190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 746
11.9%
열 727
11.6%
618
 
9.8%
6 598
 
9.5%
5 453
 
7.2%
0 397
 
6.3%
1 358
 
5.7%
톤 224
 
3.6%
2 208
 
3.3%
/ 192
 
3.1%
Other values (55) 1763
28.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2650
42.2%
Other Letter 1862
29.6%
Uppercase Letter 721
 
11.5%
Space Separator 618
 
9.8%
Other Punctuation 280
 
4.5%
Lowercase Letter 65
 
1.0%
Close Punctuation 27
 
0.4%
Open Punctuation 27
 
0.4%
Dash Punctuation 20
 
0.3%
Other Symbol 8
 
0.1%
Other values (2) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 746
40.1%
열 727
39.0%
톤 224
 
12.0%
시 42
 
2.3%
간 42
 
2.3%
기 24
 
1.3%
부 14
 
0.8%
상 8
 
0.4%
하 8
 
0.4%
크 7
 
0.4%
Other values (8) 20
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 142
19.7%
R 140
19.4%
H 121
16.8%
N 112
15.5%
V 111
15.4%
M 43
 
6.0%
G 28
 
3.9%
T 10
 
1.4%
E 3
 
0.4%
X 3
 
0.4%
Other values (4) 8
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
h 15
23.1%
t 14
21.5%
m 9
13.8%
n 6
 
9.2%
r 3
 
4.6%
a 3
 
4.6%
i 3
 
4.6%
e 3
 
4.6%
o 3
 
4.6%
g 3
 
4.6%
Decimal Number
ValueCountFrequency (%)
6 598
22.6%
5 453
17.1%
0 397
15.0%
1 358
13.5%
2 208
 
7.8%
9 184
 
6.9%
4 169
 
6.4%
3 119
 
4.5%
7 95
 
3.6%
8 69
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 192
68.6%
, 77
27.5%
. 10
 
3.6%
% 1
 
0.4%
Other Symbol
ValueCountFrequency (%)
㎡ 4
50.0%
㎥ 4
50.0%
Space Separator
ValueCountFrequency (%)
618
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 3
100.0%
Math Symbol
ValueCountFrequency (%)
× 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3636
57.9%
Hangul 1862
29.6%
Latin 786
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 142
18.1%
R 140
17.8%
H 121
15.4%
N 112
14.2%
V 111
14.1%
M 43
 
5.5%
G 28
 
3.6%
h 15
 
1.9%
t 14
 
1.8%
T 10
 
1.3%
Other values (15) 50
 
6.4%
Common
ValueCountFrequency (%)
618
17.0%
6 598
16.4%
5 453
12.5%
0 397
10.9%
1 358
9.8%
2 208
 
5.7%
/ 192
 
5.3%
9 184
 
5.1%
4 169
 
4.6%
3 119
 
3.3%
Other values (12) 340
9.4%
Hangul
ValueCountFrequency (%)
단 746
40.1%
열 727
39.0%
톤 224
 
12.0%
시 42
 
2.3%
간 42
 
2.3%
기 24
 
1.3%
부 14
 
0.8%
상 8
 
0.4%
하 8
 
0.4%
크 7
 
0.4%
Other values (8) 20
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4408
70.1%
Hangul 1862
29.6%
CJK Compat 8
 
0.1%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 746
40.1%
열 727
39.0%
톤 224
 
12.0%
시 42
 
2.3%
간 42
 
2.3%
기 24
 
1.3%
부 14
 
0.8%
상 8
 
0.4%
하 8
 
0.4%
크 7
 
0.4%
Other values (8) 20
 
1.1%
ASCII
ValueCountFrequency (%)
618
14.0%
6 598
13.6%
5 453
10.3%
0 397
 
9.0%
1 358
 
8.1%
2 208
 
4.7%
/ 192
 
4.4%
9 184
 
4.2%
4 169
 
3.8%
A 142
 
3.2%
Other values (33) 1089
24.7%
CJK Compat
ValueCountFrequency (%)
㎡ 4
50.0%
㎥ 4
50.0%
None
ValueCountFrequency (%)
´ 3
50.0%
× 3
50.0%

제작사
Text

Distinct311
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size36.3 KiB
2023-12-13T04:51:43.695184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length28
Mean length7.9082073
Min length1

Characters and Unicode

Total characters36615
Distinct characters209
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.9%

Sample

1st rowCapacity
2nd row대성중공업
3rd row진도
4th row진도
5th rowOTTAWA
ValueCountFrequency (%)
cimc 364
 
6.5%
한국특장차 310
 
5.5%
co 242
 
4.3%
capacity 231
 
4.1%
zpmc(중국 228
 
4.0%
kalmar 202
 
3.6%
ltd 196
 
3.5%
두산중공업 151
 
2.7%
현대정공 147
 
2.6%
한국특장 143
 
2.5%
Other values (314) 3424
60.7%
2023-12-13T04:51:44.269564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 2631
 
7.2%
A 2469
 
6.7%
) 1674
 
4.6%
( 1671
 
4.6%
M 1492
 
4.1%
I 1364
 
3.7%
국 1326
 
3.6%
T 1093
 
3.0%
중 1038
 
2.8%
1008
 
2.8%
Other values (199) 20849
56.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 16202
44.2%
Other Letter 11753
32.1%
Lowercase Letter 3674
 
10.0%
Close Punctuation 1674
 
4.6%
Open Punctuation 1671
 
4.6%
Space Separator 1008
 
2.8%
Other Punctuation 534
 
1.5%
Dash Punctuation 82
 
0.2%
Other Symbol 16
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1326
 
11.3%
중 1038
 
8.8%
한 826
 
7.0%
공 748
 
6.4%
업 670
 
5.7%
장 623
 
5.3%
특 619
 
5.3%
대 542
 
4.6%
차 407
 
3.5%
주 372
 
3.2%
Other values (140) 4582
39.0%
Uppercase Letter
ValueCountFrequency (%)
C 2631
16.2%
A 2469
15.2%
M 1492
 
9.2%
I 1364
 
8.4%
T 1093
 
6.7%
P 880
 
5.4%
N 748
 
4.6%
L 623
 
3.8%
R 588
 
3.6%
E 544
 
3.4%
Other values (15) 3770
23.3%
Lowercase Letter
ValueCountFrequency (%)
a 791
21.5%
t 553
15.1%
d 282
 
7.7%
o 261
 
7.1%
h 218
 
5.9%
n 207
 
5.6%
i 192
 
5.2%
e 144
 
3.9%
m 137
 
3.7%
r 136
 
3.7%
Other values (13) 753
20.5%
Other Punctuation
ValueCountFrequency (%)
. 272
50.9%
, 244
45.7%
& 8
 
1.5%
: 6
 
1.1%
/ 4
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 1674
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1671
100.0%
Space Separator
ValueCountFrequency (%)
1008
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19876
54.3%
Hangul 11769
32.1%
Common 4970
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1326
 
11.3%
중 1038
 
8.8%
한 826
 
7.0%
공 748
 
6.4%
업 670
 
5.7%
장 623
 
5.3%
특 619
 
5.3%
대 542
 
4.6%
차 407
 
3.5%
주 372
 
3.2%
Other values (141) 4598
39.1%
Latin
ValueCountFrequency (%)
C 2631
 
13.2%
A 2469
 
12.4%
M 1492
 
7.5%
I 1364
 
6.9%
T 1093
 
5.5%
P 880
 
4.4%
a 791
 
4.0%
N 748
 
3.8%
L 623
 
3.1%
R 588
 
3.0%
Other values (38) 7197
36.2%
Common
ValueCountFrequency (%)
) 1674
33.7%
( 1671
33.6%
1008
20.3%
. 272
 
5.5%
, 244
 
4.9%
- 82
 
1.6%
& 8
 
0.2%
: 6
 
0.1%
/ 4
 
0.1%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24846
67.9%
Hangul 11753
32.1%
None 16
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 2631
 
10.6%
A 2469
 
9.9%
) 1674
 
6.7%
( 1671
 
6.7%
M 1492
 
6.0%
I 1364
 
5.5%
T 1093
 
4.4%
1008
 
4.1%
P 880
 
3.5%
a 791
 
3.2%
Other values (48) 9773
39.3%
Hangul
ValueCountFrequency (%)
국 1326
 
11.3%
중 1038
 
8.8%
한 826
 
7.0%
공 748
 
6.4%
업 670
 
5.7%
장 623
 
5.3%
특 619
 
5.3%
대 542
 
4.6%
차 407
 
3.5%
주 372
 
3.2%
Other values (140) 4582
39.0%
None
ValueCountFrequency (%)
㈜ 16
100.0%

레일간격_미터
Text

MISSING 

Distinct94
Distinct (%)9.7%
Missing3665
Missing (%)79.2%
Memory size36.3 KiB
2023-12-13T04:51:44.525658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length3.9233161
Min length1

Characters and Unicode

Total characters3786
Distinct characters27
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

Unique34 ?
Unique (%)3.5%

Sample

1st row30
2nd row20
3rd row20
4th row23.5
5th row23.5
ValueCountFrequency (%)
28.4 162
15.2%
31 128
 
12.0%
미터 100
 
9.4%
23.5미터 60
 
5.6%
30.5 60
 
5.6%
42.67 48
 
4.5%
23.5m 46
 
4.3%
20 42
 
3.9%
20m 33
 
3.1%
31
 
2.9%
Other values (72) 355
33.3%
2023-12-13T04:51:44.939921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 539
14.2%
2 535
14.1%
3 460
12.2%
5 286
7.6%
미 272
7.2%
터 272
7.2%
0 267
7.1%
4 242
6.4%
1 223
5.9%
8 203
 
5.4%
Other values (17) 487
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2404
63.5%
Other Letter 564
 
14.9%
Other Punctuation 540
 
14.3%
Space Separator 100
 
2.6%
Lowercase Letter 98
 
2.6%
Uppercase Letter 40
 
1.1%
Dash Punctuation 32
 
0.8%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 535
22.3%
3 460
19.1%
5 286
11.9%
0 267
11.1%
4 242
10.1%
1 223
9.3%
8 203
 
8.4%
6 98
 
4.1%
7 82
 
3.4%
9 8
 
0.3%
Other Letter
ValueCountFrequency (%)
미 272
48.2%
터 272
48.2%
타 4
 
0.7%
이 4
 
0.7%
어 4
 
0.7%
간 4
 
0.7%
격 4
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
M 37
92.5%
X 2
 
5.0%
I 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 539
99.8%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
100
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3084
81.5%
Hangul 564
 
14.9%
Latin 138
 
3.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 539
17.5%
2 535
17.3%
3 460
14.9%
5 286
9.3%
0 267
8.7%
4 242
7.8%
1 223
7.2%
8 203
 
6.6%
100
 
3.2%
6 98
 
3.2%
Other values (6) 131
 
4.2%
Hangul
ValueCountFrequency (%)
미 272
48.2%
터 272
48.2%
타 4
 
0.7%
이 4
 
0.7%
어 4
 
0.7%
간 4
 
0.7%
격 4
 
0.7%
Latin
ValueCountFrequency (%)
m 98
71.0%
M 37
 
26.8%
X 2
 
1.4%
I 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3222
85.1%
Hangul 564
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 539
16.7%
2 535
16.6%
3 460
14.3%
5 286
8.9%
0 267
8.3%
4 242
7.5%
1 223
6.9%
8 203
 
6.3%
100
 
3.1%
m 98
 
3.0%
Other values (10) 269
8.3%
Hangul
ValueCountFrequency (%)
미 272
48.2%
터 272
48.2%
타 4
 
0.7%
이 4
 
0.7%
어 4
 
0.7%
간 4
 
0.7%
격 4
 
0.7%

제조일
Date

Distinct733
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size36.3 KiB
Minimum1900-01-01 00:00:00
Maximum2023-07-13 00:00:00
2023-12-13T04:51:45.168972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:51:45.696696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T04:51:34.470475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:51:45.833634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항만명시설장비명가격(대당)레일간격_미터
항만명1.0000.8520.7870.983
시설장비명0.8521.0000.0380.990
가격(대당)0.7870.0381.0000.000
레일간격_미터0.9830.9900.0001.000
2023-12-13T04:51:45.971015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설장비명항만명
시설장비명1.0000.339
항만명0.3391.000
2023-12-13T04:51:46.078457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격(대당)항만명시설장비명
가격(대당)1.0000.5280.019
항만명0.5281.0000.339
시설장비명0.0190.3391.000

Missing values

2023-12-13T04:51:34.631858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:51:34.924131image/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.
2023-12-13T04:51:35.133089image/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

항만명부두시설장비명용도취급화물제조-설치검사일가격(대당)자중_톤정격하중_톤최대바퀴하중_최대접지하중정격마력길이_너비_높이처리능력_적재제작사레일간격_미터제조일
0경인항경인항 인천터미널 컨테이너부두 1~3번 선석야드 트랙터(Y/T)컨테이너2005-11-15158톤<NA><NA>205hp/2,500RPM마력5.04MX2.42MX3.08M<NA>Capacity<NA>2005-11-15
1경인항인천터미널RMGC철강재운반용2019-01-011601124014톤/개50/10/12060*30*20<NA>대성중공업302019-01-01
2경인항컨테이너부두야드 섀시(Y/C)컨테이너2000-04-0486.7<NA><NA><NA>12.8*2.7*1.4<NA>진도<NA>2000-04-04
3경인항컨테이너부두야드 섀시(Y/C)컨테이너2000-04-0486.7<NA><NA><NA>12.8*2.7*1.4<NA>진도<NA>2000-04-04
4경인항컨테이너부두야드 트랙터(Y/T)컨테이너2004-06-1096.7<NA><NA>1774.5*2.5*3.2<NA>OTTAWA<NA>2004-06-10
5경인항컨테이너부두야드 트랙터(Y/T)컨테이너2005-09-29158<NA><NA>2055*2.4*3<NA>CAPACITY<NA>2005-09-29
6경인항컨테이너부두야드 트랙터(Y/T)컨테이너2005-09-29158<NA><NA>2055*2.4*3<NA>CAPACITY<NA>2005-09-29
7경인항컨테이너부두야드 트랙터(Y/T)컨테이너2005-09-29158<NA><NA>2055*2.4*3<NA>CAPACITY<NA>2005-09-29
8경인항컨테이너부두야드 트랙터(Y/T)컨테이너2005-09-29158<NA><NA>2055*2.4*3<NA>CAPACITY<NA>2005-09-29
9경인항컨테이너부두컨테이너 크레인(C/C)컨테이너2010-06-19540072040.619.4톤/개<NA>85.8*27*737단 11열ZPMC202010-06-19
항만명부두시설장비명용도취급화물제조-설치검사일가격(대당)자중_톤정격하중_톤최대바퀴하중_최대접지하중정격마력길이_너비_높이처리능력_적재제작사레일간격_미터제조일
4620하동항2부두벨트 컨베이어(B/C)석탄2000-01-01376<NA><NA><NA><NA><NA><NA>두산중공업<NA>2000-01-01
4621하동항2부두벨트 컨베이어(B/C)석탄2000-01-01376<NA><NA><NA><NA><NA><NA>두산중공업<NA>2000-01-01
4622하동항2부두벨트 컨베이어(B/C)석탄2000-01-01672<NA><NA><NA><NA><NA><NA>두산중공업<NA>2000-01-01
4623하동항2부두벨트 컨베이어(B/C)석탄2000-01-01672<NA><NA><NA><NA><NA><NA>두산중공업<NA>2000-01-01
4624하동항CTS십 로더(S/L)석탄1998-01-013851<NA><NA><NA><NA><NA><NA>현대중공업12 미터1998-01-01
4625하동항CTS벨트 컨베이어(B/C)석탄1998-01-01527<NA><NA><NA><NA><NA><NA>현대중공업<NA>1998-01-01
4626하동항CTS벨트 컨베이어(B/C)석탄1998-01-01578<NA><NA><NA><NA><NA><NA>현대중공업<NA>1998-01-01
4627하동항CTS연속식 쉽 언로더(CSU)석회석1998-01-015000<NA><NA><NA><NA><NA><NA>현대중공업<NA>1998-01-01
4628하동항CTS벨트 컨베이어(B/C)석탄1998-01-01420<NA><NA><NA><NA><NA><NA>현대중공업<NA>1998-01-01
4629하동항CTS벨트 컨베이어(B/C)석탄1998-01-01400<NA><NA><NA><NA><NA><NA>현대중공업<NA>1998-01-01

Duplicate rows

Most frequently occurring

항만명부두시설장비명용도취급화물제조-설치검사일가격(대당)자중_톤정격하중_톤최대바퀴하중_최대접지하중정격마력길이_너비_높이처리능력_적재제작사레일간격_미터제조일# duplicates
173부산신항4부두야드 섀시(Y/C)하역장비2010-01-22<NA>8.465<NA><NA>13.3*2.7*1.7<NA>CIMC Co., Ltd<NA>2010-01-22145
186부산신항부산신항 북컨테이너부두(2-1단계)야드 트랙터(Y/T)컨테이너2009-01-311607.4<NA><NA>2254.759*2.464*3.2<NA>KALMAR<NA>2009-01-3196
236부산신항신항 5부두야드 섀시(Y/C)컨테이너2011-12-1237865(최대적재하중)8.5<NA>12.72*2.76*1.725<NA>한국특장차<NA>2011-12-1250
366부산항 북항자성대 부두야드 섀시(Y/C)컨테이너 적양하용1982-01-2524.5<NA><NA><NA>12.352*2.572*1.498<NA>대우중공업<NA>1982-01-2549
175부산신항4부두야드 트랙터(Y/T)하역장비2020-02-17<NA>765<NA>2204.78*2.5*2.8<NA>Ottawa(Kalmar)<NA>2020-02-1744
201부산신항북컨테이너터미널(부산신항)야드 섀시(Y/C)컨테이너2015-08-3122965<NA><NA>14.611*2.76*1.714<NA>CIMC<NA>2015-08-3144
255부산신항제 2부두야드 트랙터(Y/T)컨테이너2009-04-291127.16톤65톤3.35톤/개215마력4.72*2.43*2.99세제곱미터<NA>CAPACITY(미국)<NA>2009-04-2942
176부산신항4부두야드 트랙터(Y/T)하역장비2020-10-06<NA>765<NA>2204.78*2.5*2.8<NA>Ottawa(Kalmar)<NA>2020-10-0641
196부산신항북컨테이너터미널(부산신항)야드 섀시(Y/C)컨테이너2005-11-152011655.6<NA>14.16*2.77*1.64<NA>한국특장차<NA>2005-11-1540
222부산신항신항 5부두RMGC컨테이너2012-12-12296729674031<NA>35.6*17.4*27.820VAN/HRZPMC(중국)312012-12-1238