Overview

Dataset statistics

Number of variables32
Number of observations750
Missing cells13446
Missing cells (%)56.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory191.3 KiB
Average record size in memory261.2 B

Variable types

Text12
Categorical13
Boolean2
Unsupported5

Dataset

Description한국도로공사 고속도로 TCS 운영현황에 대한 데이터 입니다. 구분, 본부, 지사, 영업소, 방향등 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15045546/fileData.do

Alerts

20차로 has constant value ""Constant
21차로 has constant value ""Constant
22차로 has constant value ""Constant
23차로 has constant value ""Constant
24차로 has constant value ""Constant
25차로 has constant value ""Constant
5차로 is highly imbalanced (53.6%)Imbalance
6차로 is highly imbalanced (70.9%)Imbalance
7차로 is highly imbalanced (77.3%)Imbalance
8차로 is highly imbalanced (80.3%)Imbalance
9차로 is highly imbalanced (84.7%)Imbalance
10차로 is highly imbalanced (86.9%)Imbalance
11차로 is highly imbalanced (88.5%)Imbalance
12차로 is highly imbalanced (91.1%)Imbalance
13차로 has 738 (98.4%) missing valuesMissing
14차로 has 740 (98.7%) missing valuesMissing
15차로 has 742 (98.9%) missing valuesMissing
16차로 has 743 (99.1%) missing valuesMissing
17차로 has 745 (99.3%) missing valuesMissing
18차로 has 747 (99.6%) missing valuesMissing
19차로 has 747 (99.6%) missing valuesMissing
20차로 has 749 (99.9%) missing valuesMissing
21차로 has 749 (99.9%) missing valuesMissing
22차로 has 749 (99.9%) missing valuesMissing
23차로 has 749 (99.9%) missing valuesMissing
24차로 has 749 (99.9%) missing valuesMissing
25차로 has 749 (99.9%) missing valuesMissing
26차로 has 750 (100.0%) missing valuesMissing
27차로 has 750 (100.0%) missing valuesMissing
28차로 has 750 (100.0%) missing valuesMissing
29차로 has 750 (100.0%) missing valuesMissing
30차로 has 750 (100.0%) missing valuesMissing
26차로 is an unsupported type, check if it needs cleaning or further analysisUnsupported
27차로 is an unsupported type, check if it needs cleaning or further analysisUnsupported
28차로 is an unsupported type, check if it needs cleaning or further analysisUnsupported
29차로 is an unsupported type, check if it needs cleaning or further analysisUnsupported
30차로 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 06:12:33.063827
Analysis finished2023-12-12 06:12:33.656625
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업소
Text

Distinct377
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2023-12-12T15:12:33.940734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.5413333
Min length5

Characters and Unicode

Total characters4156
Distinct characters194
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st row강릉영업소
2nd row강릉영업소
3rd row근덕영업소
4th row근덕영업소
5th row남강릉영업소
ValueCountFrequency (%)
강릉영업소 2
 
0.3%
창녕영업소 2
 
0.3%
서부산영업소 2
 
0.3%
산인영업소 2
 
0.3%
북창원영업소 2
 
0.3%
마산영업소 2
 
0.3%
동창원영업소 2
 
0.3%
가락영업소(개방식 2
 
0.3%
현풍영업소 2
 
0.3%
칠원영업소 2
 
0.3%
Other values (367) 730
97.3%
2023-12-12T15:12:34.390013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 778
18.7%
소 756
18.2%
업 750
18.0%
주 84
 
2.0%
서 80
 
1.9%
산 78
 
1.9%
천 74
 
1.8%
남 74
 
1.8%
동 74
 
1.8%
양 56
 
1.3%
Other values (184) 1352
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4140
99.6%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Uppercase Letter 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 778
18.8%
소 756
18.3%
업 750
18.1%
주 84
 
2.0%
서 80
 
1.9%
산 78
 
1.9%
천 74
 
1.8%
남 74
 
1.8%
동 74
 
1.8%
양 56
 
1.4%
Other values (178) 1336
32.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
E 1
33.3%
C 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4140
99.6%
Common 13
 
0.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 778
18.8%
소 756
18.3%
업 750
18.1%
주 84
 
2.0%
서 80
 
1.9%
산 78
 
1.9%
천 74
 
1.8%
남 74
 
1.8%
동 74
 
1.8%
양 56
 
1.4%
Other values (178) 1336
32.3%
Common
ValueCountFrequency (%)
) 6
46.2%
( 6
46.2%
2 1
 
7.7%
Latin
ValueCountFrequency (%)
K 1
33.3%
E 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4140
99.6%
ASCII 16
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 778
18.8%
소 756
18.3%
업 750
18.1%
주 84
 
2.0%
서 80
 
1.9%
산 78
 
1.9%
천 74
 
1.8%
남 74
 
1.8%
동 74
 
1.8%
양 56
 
1.4%
Other values (178) 1336
32.3%
ASCII
ValueCountFrequency (%)
) 6
37.5%
( 6
37.5%
2 1
 
6.2%
K 1
 
6.2%
E 1
 
6.2%
C 1
 
6.2%

입구_출구
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
입구
354 
출구
354 
상행
 
21
하행
 
21

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입구
2nd row출구
3rd row입구
4th row출구
5th row입구

Common Values

ValueCountFrequency (%)
입구 354
47.2%
출구 354
47.2%
상행 21
 
2.8%
하행 21
 
2.8%

Length

2023-12-12T15:12:34.527151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:34.677730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입구 354
47.2%
출구 354
47.2%
상행 21
 
2.8%
하행 21
 
2.8%

1차로
Categorical

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
H
401 
다차로(2)
112 
토목차로
110 
H+T
62 
T
 
36
Other values (4)
 
29

Length

Max length6
Median length1
Mean length2.5226667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다차로(2)
2nd row다차로(2)
3rd rowH
4th rowH
5th rowH

Common Values

ValueCountFrequency (%)
H 401
53.5%
다차로(2) 112
 
14.9%
토목차로 110
 
14.7%
H+T 62
 
8.3%
T 36
 
4.8%
다차로(3) 16
 
2.1%
H+T+축 9
 
1.2%
무인 2
 
0.3%
다차로(4) 2
 
0.3%

Length

2023-12-12T15:12:34.802267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:34.930247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h 401
53.5%
다차로(2 112
 
14.9%
토목차로 110
 
14.7%
h+t 62
 
8.3%
t 36
 
4.8%
다차로(3 16
 
2.1%
h+t+축 9
 
1.2%
무인 2
 
0.3%
다차로(4 2
 
0.3%

2차로
Categorical

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
T
193 
토목차로
140 
H
121 
다차로(2)
117 
H+T+축
104 
Other values (6)
75 

Length

Max length6
Median length5
Mean length3.136
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row다차로(2)
2nd row다차로(2)
3rd rowH+T+축
4th rowT
5th row토목차로

Common Values

ValueCountFrequency (%)
T 193
25.7%
토목차로 140
18.7%
H 121
16.1%
다차로(2) 117
15.6%
H+T+축 104
13.9%
무인 33
 
4.4%
다차로(3) 16
 
2.1%
H+T 13
 
1.7%
<NA> 10
 
1.3%
다차로(4) 2
 
0.3%

Length

2023-12-12T15:12:35.085326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
t 193
25.7%
토목차로 140
18.7%
h 121
16.1%
다차로(2 117
15.6%
h+t+축 104
13.9%
무인 33
 
4.4%
다차로(3 16
 
2.1%
h+t 13
 
1.7%
na 10
 
1.3%
다차로(4 2
 
0.3%

3차로
Categorical

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
T
207 
<NA>
163 
H+T+축
148 
토목차로
103 
무인
55 
Other values (6)
74 

Length

Max length6
Median length5
Mean length3.1253333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
T 207
27.6%
<NA> 163
21.7%
H+T+축 148
19.7%
토목차로 103
13.7%
무인 55
 
7.3%
H 40
 
5.3%
다차로(3) 16
 
2.1%
다차로(2) 9
 
1.2%
H+T 4
 
0.5%
T+축 3
 
0.4%

Length

2023-12-12T15:12:35.215432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
t 207
27.6%
na 163
21.7%
h+t+축 148
19.7%
토목차로 103
13.7%
무인 55
 
7.3%
h 40
 
5.3%
다차로(3 16
 
2.1%
다차로(2 9
 
1.2%
h+t 4
 
0.5%
t+축 3
 
0.4%

4차로
Categorical

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
412 
T
135 
H+T+축
69 
토목차로
49 
H
 
34
Other values (6)
51 

Length

Max length6
Median length4
Mean length3.3466667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd row<NA>
4th row<NA>
5th rowH+T+축

Common Values

ValueCountFrequency (%)
<NA> 412
54.9%
T 135
 
18.0%
H+T+축 69
 
9.2%
토목차로 49
 
6.5%
H 34
 
4.5%
무인 28
 
3.7%
다차로(2) 7
 
0.9%
H+축 6
 
0.8%
T+축 6
 
0.8%
H+T 2
 
0.3%

Length

2023-12-12T15:12:35.338810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 412
54.9%
t 135
 
18.0%
h+t+축 69
 
9.2%
토목차로 49
 
6.5%
h 34
 
4.5%
무인 28
 
3.7%
다차로(2 7
 
0.9%
h+축 6
 
0.8%
t+축 6
 
0.8%
h+t 2
 
0.3%

5차로
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
545 
T
82 
H+T+축
 
31
토목차로
 
31
무인
 
23
Other values (5)
 
38

Length

Max length6
Median length4
Mean length3.572
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowH+T+축
2nd rowT
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 545
72.7%
T 82
 
10.9%
H+T+축 31
 
4.1%
토목차로 31
 
4.1%
무인 23
 
3.1%
H 17
 
2.3%
T+축 8
 
1.1%
H+축 5
 
0.7%
H+T 4
 
0.5%
다차로(2) 4
 
0.5%

Length

2023-12-12T15:12:35.484251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:35.621566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 545
72.7%
t 82
 
10.9%
h+t+축 31
 
4.1%
토목차로 31
 
4.1%
무인 23
 
3.1%
h 17
 
2.3%
t+축 8
 
1.1%
h+축 5
 
0.7%
h+t 4
 
0.5%
다차로(2 4
 
0.5%

6차로
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
640 
T
 
40
토목차로
 
28
무인
 
15
H
 
9
Other values (5)
 
18

Length

Max length6
Median length4
Mean length3.7573333
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 640
85.3%
T 40
 
5.3%
토목차로 28
 
3.7%
무인 15
 
2.0%
H 9
 
1.2%
T+축 6
 
0.8%
H+T+축 5
 
0.7%
H+축 4
 
0.5%
H+T 2
 
0.3%
다차로(2) 1
 
0.1%

Length

2023-12-12T15:12:35.830108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:35.982267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 640
85.3%
t 40
 
5.3%
토목차로 28
 
3.7%
무인 15
 
2.0%
h 9
 
1.2%
t+축 6
 
0.8%
h+t+축 5
 
0.7%
h+축 4
 
0.5%
h+t 2
 
0.3%
다차로(2 1
 
0.1%

7차로
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
675 
T
 
25
토목차로
 
16
H
 
16
T+축
 
5
Other values (4)
 
13

Length

Max length5
Median length4
Mean length3.8133333
Min length1

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> 675
90.0%
T 25
 
3.3%
토목차로 16
 
2.1%
H 16
 
2.1%
T+축 5
 
0.7%
무인 5
 
0.7%
H+축 3
 
0.4%
H+T+축 3
 
0.4%
H+T 2
 
0.3%

Length

2023-12-12T15:12:36.423845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:36.548729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 675
90.0%
t 25
 
3.3%
토목차로 16
 
2.1%
h 16
 
2.1%
t+축 5
 
0.7%
무인 5
 
0.7%
h+축 3
 
0.4%
h+t+축 3
 
0.4%
h+t 2
 
0.3%

8차로
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
691 
T
 
19
H
 
14
토목차로
 
11
무인
 
6
Other values (3)
 
9

Length

Max length5
Median length4
Mean length3.848
Min length1

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> 691
92.1%
T 19
 
2.5%
H 14
 
1.9%
토목차로 11
 
1.5%
무인 6
 
0.8%
T+축 4
 
0.5%
H+T+축 3
 
0.4%
H+T 2
 
0.3%

Length

2023-12-12T15:12:36.711219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:36.842828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 691
92.1%
t 19
 
2.5%
h 14
 
1.9%
토목차로 11
 
1.5%
무인 6
 
0.8%
t+축 4
 
0.5%
h+t+축 3
 
0.4%
h+t 2
 
0.3%

9차로
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
706 
T
 
16
H
 
10
토목차로
 
7
H+축
 
5
Other values (3)
 
6

Length

Max length5
Median length4
Mean length3.8786667
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 706
94.1%
T 16
 
2.1%
H 10
 
1.3%
토목차로 7
 
0.9%
H+축 5
 
0.7%
무인 4
 
0.5%
H+T 1
 
0.1%
H+T+축 1
 
0.1%

Length

2023-12-12T15:12:37.020457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:37.208347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 706
94.1%
t 16
 
2.1%
h 10
 
1.3%
토목차로 7
 
0.9%
h+축 5
 
0.7%
무인 4
 
0.5%
h+t 1
 
0.1%
h+t+축 1
 
0.1%

10차로
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
714 
T
 
15
토목차로
 
6
H+축
 
5
T+축
 
4
Other values (3)
 
6

Length

Max length5
Median length4
Mean length3.912
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 714
95.2%
T 15
 
2.0%
토목차로 6
 
0.8%
H+축 5
 
0.7%
T+축 4
 
0.5%
H 3
 
0.4%
무인 2
 
0.3%
H+T+축 1
 
0.1%

Length

2023-12-12T15:12:37.389632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:37.579309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 714
95.2%
t 15
 
2.0%
토목차로 6
 
0.8%
h+축 5
 
0.7%
t+축 4
 
0.5%
h 3
 
0.4%
무인 2
 
0.3%
h+t+축 1
 
0.1%

11차로
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
720 
T+축
 
9
H+축
 
6
T
 
5
H
 
4
Other values (3)
 
6

Length

Max length5
Median length4
Mean length3.9373333
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 720
96.0%
T+축 9
 
1.2%
H+축 6
 
0.8%
T 5
 
0.7%
H 4
 
0.5%
무인 3
 
0.4%
토목차로 2
 
0.3%
H+T+축 1
 
0.1%

Length

2023-12-12T15:12:37.796921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:37.948516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 720
96.0%
t+축 9
 
1.2%
h+축 6
 
0.8%
t 5
 
0.7%
h 4
 
0.5%
무인 3
 
0.4%
토목차로 2
 
0.3%
h+t+축 1
 
0.1%

12차로
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
727 
T+축
 
10
토목차로
 
4
T
 
4
H
 
2
Other values (3)
 
3

Length

Max length5
Median length4
Mean length3.9613333
Min length1

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 727
96.9%
T+축 10
 
1.3%
토목차로 4
 
0.5%
T 4
 
0.5%
H 2
 
0.3%
H+축 1
 
0.1%
H+T+축 1
 
0.1%
H+T 1
 
0.1%

Length

2023-12-12T15:12:38.123600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:38.308594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 727
96.9%
t+축 10
 
1.3%
토목차로 4
 
0.5%
t 4
 
0.5%
h 2
 
0.3%
h+축 1
 
0.1%
h+t+축 1
 
0.1%
h+t 1
 
0.1%

13차로
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing738
Missing (%)98.4%
Memory size6.0 KiB
2023-12-12T15:12:38.451037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3
Min length1

Characters and Unicode

Total characters36
Distinct characters8
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)16.7%

Sample

1st rowT
2nd rowT
3rd row토목차로
4th row토목차로
5th rowT+축
ValueCountFrequency (%)
토목차로 4
33.3%
t 2
16.7%
t+축 2
16.7%
h+축 2
16.7%
h+t+축 1
 
8.3%
h 1
 
8.3%
2023-12-12T15:12:38.731797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 6
16.7%
T 5
13.9%
축 5
13.9%
토 4
11.1%
목 4
11.1%
차 4
11.1%
로 4
11.1%
H 4
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21
58.3%
Uppercase Letter 9
25.0%
Math Symbol 6
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 5
23.8%
토 4
19.0%
목 4
19.0%
차 4
19.0%
로 4
19.0%
Uppercase Letter
ValueCountFrequency (%)
T 5
55.6%
H 4
44.4%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21
58.3%
Latin 9
25.0%
Common 6
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 5
23.8%
토 4
19.0%
목 4
19.0%
차 4
19.0%
로 4
19.0%
Latin
ValueCountFrequency (%)
T 5
55.6%
H 4
44.4%
Common
ValueCountFrequency (%)
+ 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21
58.3%
ASCII 15
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 6
40.0%
T 5
33.3%
H 4
26.7%
Hangul
ValueCountFrequency (%)
축 5
23.8%
토 4
19.0%
목 4
19.0%
차 4
19.0%
로 4
19.0%

14차로
Text

MISSING 

Distinct6
Distinct (%)60.0%
Missing740
Missing (%)98.7%
Memory size6.0 KiB
2023-12-12T15:12:38.861361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.6
Min length1

Characters and Unicode

Total characters26
Distinct characters8
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)30.0%

Sample

1st rowT
2nd rowT
3rd row토목차로
4th row토목차로
5th rowT+축
ValueCountFrequency (%)
t 3
30.0%
토목차로 2
20.0%
h+축 2
20.0%
t+축 1
 
10.0%
h+t+축 1
 
10.0%
h 1
 
10.0%
2023-12-12T15:12:39.130386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 5
19.2%
+ 5
19.2%
H 4
15.4%
축 4
15.4%
토 2
 
7.7%
목 2
 
7.7%
차 2
 
7.7%
로 2
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
46.2%
Uppercase Letter 9
34.6%
Math Symbol 5
19.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 4
33.3%
토 2
16.7%
목 2
16.7%
차 2
16.7%
로 2
16.7%
Uppercase Letter
ValueCountFrequency (%)
T 5
55.6%
H 4
44.4%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
46.2%
Latin 9
34.6%
Common 5
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 4
33.3%
토 2
16.7%
목 2
16.7%
차 2
16.7%
로 2
16.7%
Latin
ValueCountFrequency (%)
T 5
55.6%
H 4
44.4%
Common
ValueCountFrequency (%)
+ 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
53.8%
Hangul 12
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 5
35.7%
+ 5
35.7%
H 4
28.6%
Hangul
ValueCountFrequency (%)
축 4
33.3%
토 2
16.7%
목 2
16.7%
차 2
16.7%
로 2
16.7%

15차로
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing742
Missing (%)98.9%
Memory size6.0 KiB
2023-12-12T15:12:39.272302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.5
Min length1

Characters and Unicode

Total characters20
Distinct characters8
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st row토목차로
2nd rowH
3rd row토목차로
4th rowT+축
5th rowT+축
ValueCountFrequency (%)
t+축 3
37.5%
토목차로 2
25.0%
h 2
25.0%
t 1
 
12.5%
2023-12-12T15:12:39.554046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 4
20.0%
+ 3
15.0%
축 3
15.0%
토 2
10.0%
목 2
10.0%
차 2
10.0%
로 2
10.0%
H 2
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
55.0%
Uppercase Letter 6
30.0%
Math Symbol 3
 
15.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 3
27.3%
토 2
18.2%
목 2
18.2%
차 2
18.2%
로 2
18.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
66.7%
H 2
33.3%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
55.0%
Latin 6
30.0%
Common 3
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 3
27.3%
토 2
18.2%
목 2
18.2%
차 2
18.2%
로 2
18.2%
Latin
ValueCountFrequency (%)
T 4
66.7%
H 2
33.3%
Common
ValueCountFrequency (%)
+ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
55.0%
ASCII 9
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 4
44.4%
+ 3
33.3%
H 2
22.2%
Hangul
ValueCountFrequency (%)
축 3
27.3%
토 2
18.2%
목 2
18.2%
차 2
18.2%
로 2
18.2%

16차로
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing743
Missing (%)99.1%
Memory size6.0 KiB
2023-12-12T15:12:39.672194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.4285714
Min length1

Characters and Unicode

Total characters17
Distinct characters8
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)14.3%

Sample

1st row토목차로
2nd rowT
3rd row토목차로
4th rowT+축
5th rowH
ValueCountFrequency (%)
토목차로 2
28.6%
t 2
28.6%
t+축 2
28.6%
h 1
14.3%
2023-12-12T15:12:39.987425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 4
23.5%
토 2
11.8%
목 2
11.8%
차 2
11.8%
로 2
11.8%
+ 2
11.8%
축 2
11.8%
H 1
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
58.8%
Uppercase Letter 5
29.4%
Math Symbol 2
 
11.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 2
20.0%
목 2
20.0%
차 2
20.0%
로 2
20.0%
축 2
20.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
80.0%
H 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
58.8%
Latin 5
29.4%
Common 2
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 2
20.0%
목 2
20.0%
차 2
20.0%
로 2
20.0%
축 2
20.0%
Latin
ValueCountFrequency (%)
T 4
80.0%
H 1
 
20.0%
Common
ValueCountFrequency (%)
+ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
58.8%
ASCII 7
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 4
57.1%
+ 2
28.6%
H 1
 
14.3%
Hangul
ValueCountFrequency (%)
토 2
20.0%
목 2
20.0%
차 2
20.0%
로 2
20.0%
축 2
20.0%

17차로
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing745
Missing (%)99.3%
Memory size6.0 KiB
2023-12-12T15:12:40.161413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.2
Min length1

Characters and Unicode

Total characters16
Distinct characters7
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st rowT
2nd row토목차로
3rd row토목차로
4th row토목차로
5th rowH+T
ValueCountFrequency (%)
토목차로 3
60.0%
t 1
 
20.0%
h+t 1
 
20.0%
2023-12-12T15:12:40.436867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
토 3
18.8%
목 3
18.8%
차 3
18.8%
로 3
18.8%
T 2
12.5%
H 1
 
6.2%
+ 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
75.0%
Uppercase Letter 3
 
18.8%
Math Symbol 1
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 3
25.0%
목 3
25.0%
차 3
25.0%
로 3
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
66.7%
H 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
75.0%
Latin 3
 
18.8%
Common 1
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 3
25.0%
목 3
25.0%
차 3
25.0%
로 3
25.0%
Latin
ValueCountFrequency (%)
T 2
66.7%
H 1
33.3%
Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
75.0%
ASCII 4
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
토 3
25.0%
목 3
25.0%
차 3
25.0%
로 3
25.0%
ASCII
ValueCountFrequency (%)
T 2
50.0%
H 1
25.0%
+ 1
25.0%

18차로
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing747
Missing (%)99.6%
Memory size6.0 KiB
2023-12-12T15:12:40.595902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length2
Min length1

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowH
2nd rowT
3rd row토목차로
ValueCountFrequency (%)
h 1
33.3%
t 1
33.3%
토목차로 1
33.3%
2023-12-12T15:12:40.927449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 1
16.7%
T 1
16.7%
토 1
16.7%
목 1
16.7%
차 1
16.7%
로 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
66.7%
Uppercase Letter 2
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 1
25.0%
목 1
25.0%
차 1
25.0%
로 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
T 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
66.7%
Latin 2
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 1
25.0%
목 1
25.0%
차 1
25.0%
로 1
25.0%
Latin
ValueCountFrequency (%)
H 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
66.7%
ASCII 2
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 1
50.0%
T 1
50.0%
Hangul
ValueCountFrequency (%)
토 1
25.0%
목 1
25.0%
차 1
25.0%
로 1
25.0%

19차로
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing747
Missing (%)99.6%
Memory size6.0 KiB
2023-12-12T15:12:41.114314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length2
Min length1

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowH
2nd rowT
3rd row토목차로
ValueCountFrequency (%)
h 1
33.3%
t 1
33.3%
토목차로 1
33.3%
2023-12-12T15:12:41.456669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 1
16.7%
T 1
16.7%
토 1
16.7%
목 1
16.7%
차 1
16.7%
로 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
66.7%
Uppercase Letter 2
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 1
25.0%
목 1
25.0%
차 1
25.0%
로 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
T 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
66.7%
Latin 2
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 1
25.0%
목 1
25.0%
차 1
25.0%
로 1
25.0%
Latin
ValueCountFrequency (%)
H 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
66.7%
ASCII 2
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 1
50.0%
T 1
50.0%
Hangul
ValueCountFrequency (%)
토 1
25.0%
목 1
25.0%
차 1
25.0%
로 1
25.0%

20차로
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing749
Missing (%)99.9%
Memory size1.6 KiB
True
 
1
(Missing)
749 
ValueCountFrequency (%)
True 1
 
0.1%
(Missing) 749
99.9%
2023-12-12T15:12:41.572957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

21차로
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing749
Missing (%)99.9%
Memory size1.6 KiB
True
 
1
(Missing)
749 
ValueCountFrequency (%)
True 1
 
0.1%
(Missing) 749
99.9%
2023-12-12T15:12:41.658245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

22차로
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing749
Missing (%)99.9%
Memory size6.0 KiB
2023-12-12T15:12:41.753369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowH+축
ValueCountFrequency (%)
h+축 1
100.0%
2023-12-12T15:12:42.031649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 1
33.3%
+ 1
33.3%
축 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1
33.3%
Math Symbol 1
33.3%
Other Letter 1
33.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Letter
ValueCountFrequency (%)
축 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1
33.3%
Common 1
33.3%
Hangul 1
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
H 1
100.0%
Common
ValueCountFrequency (%)
+ 1
100.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 1
50.0%
+ 1
50.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

23차로
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing749
Missing (%)99.9%
Memory size6.0 KiB
2023-12-12T15:12:42.151679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowH+축
ValueCountFrequency (%)
h+축 1
100.0%
2023-12-12T15:12:42.440500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 1
33.3%
+ 1
33.3%
축 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1
33.3%
Math Symbol 1
33.3%
Other Letter 1
33.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Letter
ValueCountFrequency (%)
축 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1
33.3%
Common 1
33.3%
Hangul 1
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
H 1
100.0%
Common
ValueCountFrequency (%)
+ 1
100.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 1
50.0%
+ 1
50.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

24차로
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing749
Missing (%)99.9%
Memory size6.0 KiB
2023-12-12T15:12:42.564838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowT+축
ValueCountFrequency (%)
t+축 1
100.0%
2023-12-12T15:12:42.812234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 1
33.3%
+ 1
33.3%
축 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1
33.3%
Math Symbol 1
33.3%
Other Letter 1
33.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Letter
ValueCountFrequency (%)
축 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1
33.3%
Common 1
33.3%
Hangul 1
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 1
100.0%
Common
ValueCountFrequency (%)
+ 1
100.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 1
50.0%
+ 1
50.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

25차로
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing749
Missing (%)99.9%
Memory size6.0 KiB
2023-12-12T15:12:42.931845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowT+축
ValueCountFrequency (%)
t+축 1
100.0%
2023-12-12T15:12:43.197937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 1
33.3%
+ 1
33.3%
축 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1
33.3%
Math Symbol 1
33.3%
Other Letter 1
33.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Letter
ValueCountFrequency (%)
축 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1
33.3%
Common 1
33.3%
Hangul 1
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 1
100.0%
Common
ValueCountFrequency (%)
+ 1
100.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 1
50.0%
+ 1
50.0%
Hangul
ValueCountFrequency (%)
축 1
100.0%

26차로
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing750
Missing (%)100.0%
Memory size6.7 KiB

27차로
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing750
Missing (%)100.0%
Memory size6.7 KiB

28차로
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing750
Missing (%)100.0%
Memory size6.7 KiB

29차로
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing750
Missing (%)100.0%
Memory size6.7 KiB

30차로
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing750
Missing (%)100.0%
Memory size6.7 KiB

Sample

영업소입구_출구1차로2차로3차로4차로5차로6차로7차로8차로9차로10차로11차로12차로13차로14차로15차로16차로17차로18차로19차로20차로21차로22차로23차로24차로25차로26차로27차로28차로29차로30차로
0강릉영업소입구다차로(2)다차로(2)TTH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1강릉영업소출구다차로(2)다차로(2)TTT<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2근덕영업소입구HH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3근덕영업소출구HT무인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4남강릉영업소입구H토목차로TH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5남강릉영업소출구H토목차로무인T<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6남양양영업소입구H토목차로TH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7남양양영업소출구토목차로H토목차로무인T<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8동해영업소입구HTH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9동해영업소출구토목차로H토목차로TT<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
영업소입구_출구1차로2차로3차로4차로5차로6차로7차로8차로9차로10차로11차로12차로13차로14차로15차로16차로17차로18차로19차로20차로21차로22차로23차로24차로25차로26차로27차로28차로29차로30차로
740감곡영업소입구HTH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
741감곡영업소출구HTT<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
742괴산영업소입구H토목차로H+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743괴산영업소출구TH무인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
744북충주영업소입구토목차로HH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
745북충주영업소출구TH무인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
746연풍영업소입구H토목차로H+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
747연풍영업소출구H무인T<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
748충주영업소입구토목차로HTH+T+축<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
749충주영업소출구토목차로H토목차로T무인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>