Overview

Dataset statistics

Number of variables76
Number of observations356
Missing cells48
Missing cells (%)0.2%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory211.5 KiB
Average record size in memory608.4 B

Variable types

Categorical72
Text4

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-13208/F/1/datasetView.do

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
Unnamed: 16 is highly imbalanced (54.5%)Imbalance
Unnamed: 18 is highly imbalanced (53.4%)Imbalance
Unnamed: 19 is highly imbalanced (51.6%)Imbalance
Unnamed: 26 is highly imbalanced (50.2%)Imbalance
Unnamed: 29 is highly imbalanced (50.2%)Imbalance
Unnamed: 32 is highly imbalanced (51.5%)Imbalance
Unnamed: 33 is highly imbalanced (54.2%)Imbalance
Unnamed: 35 is highly imbalanced (54.0%)Imbalance
Unnamed: 36 is highly imbalanced (51.7%)Imbalance
Unnamed: 37 is highly imbalanced (51.7%)Imbalance
Unnamed: 39 is highly imbalanced (54.3%)Imbalance
Unnamed: 42 is highly imbalanced (50.2%)Imbalance
Unnamed: 47 is highly imbalanced (53.6%)Imbalance
Unnamed: 48 is highly imbalanced (51.3%)Imbalance
Unnamed: 51 is highly imbalanced (52.2%)Imbalance
Unnamed: 54 is highly imbalanced (76.7%)Imbalance
Unnamed: 55 is highly imbalanced (51.7%)Imbalance
Unnamed: 56 is highly imbalanced (54.5%)Imbalance
Unnamed: 58 is highly imbalanced (51.0%)Imbalance
Unnamed: 59 is highly imbalanced (58.5%)Imbalance
Unnamed: 61 is highly imbalanced (61.1%)Imbalance
Unnamed: 62 is highly imbalanced (77.0%)Imbalance
Unnamed: 65 is highly imbalanced (53.4%)Imbalance
Unnamed: 66 is highly imbalanced (75.5%)Imbalance
Unnamed: 67 is highly imbalanced (66.7%)Imbalance
Unnamed: 70 is highly imbalanced (57.2%)Imbalance
참고사항 is highly imbalanced (56.9%)Imbalance
Unnamed: 73 is highly imbalanced (56.2%)Imbalance
Unnamed: 74 is highly imbalanced (83.1%)Imbalance
Unnamed: 75 is highly imbalanced (50.2%)Imbalance
Unnamed: 1 has 21 (5.9%) missing valuesMissing
Unnamed: 2 has 8 (2.2%) missing valuesMissing
Unnamed: 3 has 9 (2.5%) missing valuesMissing
Unnamed: 5 has 10 (2.8%) missing valuesMissing

Reproduction

Analysis started2024-04-29 16:42:43.551986
Analysis finished2024-04-29 16:42:44.571805
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Categorical

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
7호선
112 
5호선
111 
6호선
82 
8호선
39 
<NA>
 
9
Other values (3)
 
3

Length

Max length5
Median length3
Mean length3.0308989
Min length2

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
7호선 112
31.5%
5호선 111
31.2%
6호선 82
23.0%
8호선 39
 
11.0%
<NA> 9
 
2.5%
호선 1
 
0.3%
장비수량 1
 
0.3%
연신내제외 1
 
0.3%

Length

2024-04-30T01:42:44.635759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:44.760475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7호선 112
31.5%
5호선 111
31.2%
6호선 82
23.0%
8호선 39
 
11.0%
na 9
 
2.5%
호선 1
 
0.3%
장비수량 1
 
0.3%
연신내제외 1
 
0.3%

Unnamed: 1
Text

MISSING 

Distinct171
Distinct (%)51.0%
Missing21
Missing (%)5.9%
Memory size2.9 KiB
2024-04-30T01:42:45.077104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length3.9164179
Min length1

Characters and Unicode

Total characters1312
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)2.7%

Sample

1st row외부 역 번호
2nd row2511
3rd row2512
4th row2513
5th row2514
ValueCountFrequency (%)
12 3
 
0.9%
8 3
 
0.9%
2638 2
 
0.6%
2729 2
 
0.6%
2723 2
 
0.6%
2724 2
 
0.6%
2725 2
 
0.6%
2726 2
 
0.6%
2545 2
 
0.6%
2727 2
 
0.6%
Other values (163) 315
93.5%
2024-04-30T01:42:45.502319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 425
32.4%
5 180
13.7%
7 136
 
10.4%
1 123
 
9.4%
6 117
 
8.9%
3 94
 
7.2%
4 92
 
7.0%
8 67
 
5.1%
9 30
 
2.3%
0 29
 
2.2%
Other values (15) 19
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1293
98.6%
Other Letter 14
 
1.1%
Control 2
 
0.2%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
21.4%
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 425
32.9%
5 180
13.9%
7 136
 
10.5%
1 123
 
9.5%
6 117
 
9.0%
3 94
 
7.3%
4 92
 
7.1%
8 67
 
5.2%
9 30
 
2.3%
0 29
 
2.2%
Control
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1298
98.9%
Hangul 14
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 425
32.7%
5 180
13.9%
7 136
 
10.5%
1 123
 
9.5%
6 117
 
9.0%
3 94
 
7.2%
4 92
 
7.1%
8 67
 
5.2%
9 30
 
2.3%
0 29
 
2.2%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
3
21.4%
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1298
98.9%
Hangul 14
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 425
32.7%
5 180
13.9%
7 136
 
10.5%
1 123
 
9.5%
6 117
 
9.0%
3 94
 
7.2%
4 92
 
7.1%
8 67
 
5.2%
9 30
 
2.3%
0 29
 
2.2%
Other values (4) 5
 
0.4%
Hangul
ValueCountFrequency (%)
3
21.4%
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%

Unnamed: 2
Text

MISSING 

Distinct185
Distinct (%)53.2%
Missing8
Missing (%)2.2%
Memory size2.9 KiB
2024-04-30T01:42:45.953835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length3.408046
Min length2

Characters and Unicode

Total characters1186
Distinct characters199
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)6.3%

Sample

1st row구분 역사수:156역 연신내제외
2nd row1. 기술관리소별(14개)
3rd row방화기지
4th row방화
5th row개화산
ValueCountFrequency (%)
소계 18
 
4.7%
마포구청 3
 
0.8%
이수 3
 
0.8%
한강진 3
 
0.8%
천왕 3
 
0.8%
고덕 3
 
0.8%
모란 3
 
0.8%
건대입구 3
 
0.8%
답십리 3
 
0.8%
개화산 3
 
0.8%
Other values (176) 338
88.3%
2024-04-30T01:42:46.333480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
2.8%
31
 
2.6%
26
 
2.2%
25
 
2.1%
24
 
2.0%
24
 
2.0%
( 23
 
1.9%
) 23
 
1.9%
23
 
1.9%
22
 
1.9%
Other values (189) 932
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1066
89.9%
Decimal Number 35
 
3.0%
Open Punctuation 23
 
1.9%
Close Punctuation 23
 
1.9%
Space Separator 22
 
1.9%
Control 14
 
1.2%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
3.1%
31
 
2.9%
26
 
2.4%
25
 
2.3%
24
 
2.3%
24
 
2.3%
23
 
2.2%
20
 
1.9%
19
 
1.8%
19
 
1.8%
Other values (175) 822
77.1%
Decimal Number
ValueCountFrequency (%)
5 10
28.6%
6 8
22.9%
7 5
14.3%
1 3
 
8.6%
4 3
 
8.6%
8 3
 
8.6%
3 2
 
5.7%
2 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
: 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Control
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1066
89.9%
Common 120
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
3.1%
31
 
2.9%
26
 
2.4%
25
 
2.3%
24
 
2.3%
24
 
2.3%
23
 
2.2%
20
 
1.9%
19
 
1.8%
19
 
1.8%
Other values (175) 822
77.1%
Common
ValueCountFrequency (%)
( 23
19.2%
) 23
19.2%
22
18.3%
14
11.7%
5 10
8.3%
6 8
 
6.7%
7 5
 
4.2%
1 3
 
2.5%
4 3
 
2.5%
8 3
 
2.5%
Other values (4) 6
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1066
89.9%
ASCII 120
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
33
 
3.1%
31
 
2.9%
26
 
2.4%
25
 
2.3%
24
 
2.3%
24
 
2.3%
23
 
2.2%
20
 
1.9%
19
 
1.8%
19
 
1.8%
Other values (175) 822
77.1%
ASCII
ValueCountFrequency (%)
( 23
19.2%
) 23
19.2%
22
18.3%
14
11.7%
5 10
8.3%
6 8
 
6.7%
7 5
 
4.2%
1 3
 
2.5%
4 3
 
2.5%
8 3
 
2.5%
Other values (4) 6
 
5.0%

Unnamed: 3
Text

MISSING 

Distinct66
Distinct (%)19.0%
Missing9
Missing (%)2.5%
Memory size2.9 KiB
2024-04-30T01:42:46.556993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0489914
Min length1

Characters and Unicode

Total characters711
Distinct characters14
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

Unique21 ?
Unique (%)6.1%

Sample

1st row시설물량
2nd row4684
3rd row5
4th row19
5th row22
ValueCountFrequency (%)
23 26
 
7.5%
19 24
 
6.9%
22 22
 
6.3%
20 20
 
5.8%
24 16
 
4.6%
26 14
 
4.0%
21 14
 
4.0%
25 12
 
3.5%
37 12
 
3.5%
33 12
 
3.5%
Other values (56) 175
50.4%
2024-04-30T01:42:46.863757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 188
26.4%
3 132
18.6%
1 83
11.7%
4 70
 
9.8%
9 50
 
7.0%
5 47
 
6.6%
6 38
 
5.3%
7 37
 
5.2%
0 36
 
5.1%
8 26
 
3.7%
Other values (4) 4
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 707
99.4%
Other Letter 4
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 188
26.6%
3 132
18.7%
1 83
11.7%
4 70
 
9.9%
9 50
 
7.1%
5 47
 
6.6%
6 38
 
5.4%
7 37
 
5.2%
0 36
 
5.1%
8 26
 
3.7%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 707
99.4%
Hangul 4
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 188
26.6%
3 132
18.7%
1 83
11.7%
4 70
 
9.9%
9 50
 
7.1%
5 47
 
6.6%
6 38
 
5.4%
7 37
 
5.2%
0 36
 
5.1%
8 26
 
3.7%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 707
99.4%
Hangul 4
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 188
26.6%
3 132
18.7%
1 83
11.7%
4 70
 
9.9%
9 50
 
7.1%
5 47
 
6.6%
6 38
 
5.4%
7 37
 
5.2%
0 36
 
5.1%
8 26
 
3.7%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Unnamed: 4
Categorical

Distinct48
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
8
34 
9
32 
12
32 
16
28 
7
24 
Other values (43)
206 

Length

Max length4
Median length2
Mean length1.75
Min length1

Unique

Unique17 ?
Unique (%)4.8%

Sample

1st row단말기
2nd row<NA>
3rd row<NA>
4th row2059
5th row<NA>

Common Values

ValueCountFrequency (%)
8 34
 
9.6%
9 32
 
9.0%
12 32
 
9.0%
16 28
 
7.9%
7 24
 
6.7%
10 22
 
6.2%
6 20
 
5.6%
13 18
 
5.1%
14 16
 
4.5%
15 14
 
3.9%
Other values (38) 116
32.6%

Length

2024-04-30T01:42:47.009798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8 34
 
9.6%
12 32
 
9.0%
9 32
 
9.0%
16 28
 
7.9%
7 24
 
6.7%
10 22
 
6.2%
6 20
 
5.6%
13 18
 
5.1%
14 16
 
4.5%
15 14
 
3.9%
Other values (38) 116
32.6%

Unnamed: 5
Text

MISSING 

Distinct54
Distinct (%)15.6%
Missing10
Missing (%)2.8%
Memory size2.9 KiB
2024-04-30T01:42:47.171326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length1.9913295
Min length1

Characters and Unicode

Total characters689
Distinct characters14
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

Unique15 ?
Unique (%)4.3%

Sample

1st row레이턴트
2nd row3146
3rd row10
4th row13
5th row32
ValueCountFrequency (%)
16 42
 
12.1%
14 26
 
7.5%
12 24
 
6.9%
28 20
 
5.8%
20 20
 
5.8%
18 18
 
5.2%
10 16
 
4.6%
24 16
 
4.6%
0 13
 
3.8%
8 10
 
2.9%
Other values (44) 141
40.8%
2024-04-30T01:42:47.453194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 184
26.7%
2 148
21.5%
0 63
 
9.1%
6 60
 
8.7%
4 55
 
8.0%
8 55
 
8.0%
3 52
 
7.5%
9 24
 
3.5%
5 22
 
3.2%
7 22
 
3.2%
Other values (4) 4
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 685
99.4%
Other Letter 4
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 184
26.9%
2 148
21.6%
0 63
 
9.2%
6 60
 
8.8%
4 55
 
8.0%
8 55
 
8.0%
3 52
 
7.6%
9 24
 
3.5%
5 22
 
3.2%
7 22
 
3.2%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 685
99.4%
Hangul 4
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 184
26.9%
2 148
21.6%
0 63
 
9.2%
6 60
 
8.8%
4 55
 
8.0%
8 55
 
8.0%
3 52
 
7.6%
9 24
 
3.5%
5 22
 
3.2%
7 22
 
3.2%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 685
99.4%
Hangul 4
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 184
26.9%
2 148
21.6%
0 63
 
9.2%
6 60
 
8.8%
4 55
 
8.0%
8 55
 
8.0%
3 52
 
7.6%
9 24
 
3.5%
5 22
 
3.2%
7 22
 
3.2%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Unnamed: 6
Categorical

Distinct50
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
16
32 
8
32 
15
 
22
12
 
22
11
 
22
Other values (45)
226 

Length

Max length9
Median length2
Mean length1.9466292
Min length1

Unique

Unique16 ?
Unique (%)4.5%

Sample

1st rowAgm 장비 수량
2nd row<NA>
3rd row<NA>
4th row2486
5th row<NA>

Common Values

ValueCountFrequency (%)
16 32
 
9.0%
8 32
 
9.0%
15 22
 
6.2%
12 22
 
6.2%
11 22
 
6.2%
10 22
 
6.2%
18 20
 
5.6%
13 20
 
5.6%
14 16
 
4.5%
19 14
 
3.9%
Other values (40) 134
37.6%

Length

2024-04-30T01:42:47.572545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16 32
 
8.9%
8 32
 
8.9%
15 22
 
6.1%
12 22
 
6.1%
11 22
 
6.1%
10 22
 
6.1%
18 20
 
5.6%
13 20
 
5.6%
14 16
 
4.5%
19 14
 
3.9%
Other values (42) 136
38.0%

Unnamed: 7
Categorical

Distinct21
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2
110 
0
83 
<NA>
82 
1
44 
4
14 
Other values (16)
23 

Length

Max length49
Median length1
Mean length1.9101124
Min length1

Unique

Unique12 ?
Unique (%)3.4%

Sample

1st row개집표기
2nd rowEMI(영국TTSI)
3rd row1형
4th row173
5th row<NA>

Common Values

ValueCountFrequency (%)
2 110
30.9%
0 83
23.3%
<NA> 82
23.0%
1 44
 
12.4%
4 14
 
3.9%
3 4
 
1.1%
26 3
 
0.8%
173 2
 
0.6%
7 2
 
0.6%
32 1
 
0.3%
Other values (11) 11
 
3.1%

Length

2024-04-30T01:42:47.675638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 110
30.3%
0 83
22.9%
na 82
22.6%
1 44
 
12.1%
4 14
 
3.9%
3 4
 
1.1%
26 3
 
0.8%
7 2
 
0.6%
2
 
0.6%
173 2
 
0.6%
Other values (17) 17
 
4.7%

Unnamed: 8
Categorical

Distinct13
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
136 
0
134 
1
58 
2
15 
6
 
3
Other values (8)
 
10

Length

Max length4
Median length1
Mean length2.1629213
Min length1

Unique

Unique6 ?
Unique (%)1.7%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row43
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 136
38.2%
0 134
37.6%
1 58
16.3%
2 15
 
4.2%
6 3
 
0.8%
43 2
 
0.6%
7 2
 
0.6%
2형 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
Other values (3) 3
 
0.8%

Length

2024-04-30T01:42:47.781434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 136
38.2%
0 134
37.6%
1 58
16.3%
2 15
 
4.2%
6 3
 
0.8%
43 2
 
0.6%
7 2
 
0.6%
2형 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
Other values (3) 3
 
0.8%

Unnamed: 9
Categorical

Distinct27
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
85 
0
83 
3
64 
4
24 
6
20 
Other values (22)
80 

Length

Max length4
Median length1
Mean length1.7808989
Min length1

Unique

Unique12 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row385
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 85
23.9%
0 83
23.3%
3 64
18.0%
4 24
 
6.7%
6 20
 
5.6%
2 18
 
5.1%
5 12
 
3.4%
8 10
 
2.8%
9 8
 
2.2%
1 6
 
1.7%
Other values (17) 26
 
7.3%

Length

2024-04-30T01:42:47.890517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 85
23.9%
0 83
23.3%
3 64
18.0%
4 24
 
6.7%
6 20
 
5.6%
2 18
 
5.1%
5 12
 
3.4%
8 10
 
2.8%
9 8
 
2.2%
1 6
 
1.7%
Other values (17) 26
 
7.3%

Unnamed: 10
Categorical

Distinct14
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
137 
0
135 
1
56 
2
14 
6
 
3
Other values (9)
 
11

Length

Max length4
Median length1
Mean length2.1713483
Min length1

Unique

Unique7 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row4형
4th row42
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 137
38.5%
0 135
37.9%
1 56
15.7%
2 14
 
3.9%
6 3
 
0.8%
42 2
 
0.6%
4 2
 
0.6%
4형 1
 
0.3%
3 1
 
0.3%
8 1
 
0.3%
Other values (4) 4
 
1.1%

Length

2024-04-30T01:42:48.014831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 137
38.5%
0 135
37.9%
1 56
15.7%
2 14
 
3.9%
6 3
 
0.8%
42 2
 
0.6%
4 2
 
0.6%
4형 1
 
0.3%
3 1
 
0.3%
8 1
 
0.3%
Other values (4) 4
 
1.1%

Unnamed: 11
Categorical

Distinct18
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2
110 
<NA>
85 
0
83 
1
44 
4
14 
Other values (13)
20 

Length

Max length4
Median length1
Mean length1.7640449
Min length1

Unique

Unique9 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row<NA>
3rd row5형
4th row173
5th row<NA>

Common Values

ValueCountFrequency (%)
2 110
30.9%
<NA> 85
23.9%
0 83
23.3%
1 44
 
12.4%
4 14
 
3.9%
3 4
 
1.1%
26 3
 
0.8%
7 2
 
0.6%
173 2
 
0.6%
25 1
 
0.3%
Other values (8) 8
 
2.2%

Length

2024-04-30T01:42:48.120603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 110
30.9%
na 85
23.9%
0 83
23.3%
1 44
 
12.4%
4 14
 
3.9%
3 4
 
1.1%
26 3
 
0.8%
7 2
 
0.6%
173 2
 
0.6%
32 1
 
0.3%
Other values (8) 8
 
2.2%

Unnamed: 12
Categorical

Distinct13
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
137 
<NA>
133 
1
36 
2
32 
3
 
8
Other values (8)
 
10

Length

Max length9
Median length1
Mean length2.1629213
Min length1

Unique

Unique6 ?
Unique (%)1.7%

Sample

1st row<NA>
2nd row삼성병합(SDS)
3rd row1형
4th row67
5th row<NA>

Common Values

ValueCountFrequency (%)
0 137
38.5%
<NA> 133
37.4%
1 36
 
10.1%
2 32
 
9.0%
3 8
 
2.2%
67 2
 
0.6%
6 2
 
0.6%
삼성병합(SDS) 1
 
0.3%
1형 1
 
0.3%
26 1
 
0.3%
Other values (3) 3
 
0.8%

Length

2024-04-30T01:42:48.231369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 137
38.5%
na 133
37.4%
1 36
 
10.1%
2 32
 
9.0%
3 8
 
2.2%
67 2
 
0.6%
6 2
 
0.6%
삼성병합(sds 1
 
0.3%
1형 1
 
0.3%
26 1
 
0.3%
Other values (3) 3
 
0.8%

Unnamed: 13
Categorical

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
172 
<NA>
166 
1
 
12
6
 
3
3
 
2

Length

Max length4
Median length1
Mean length2.4016854
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
0 172
48.3%
<NA> 166
46.6%
1 12
 
3.4%
6 3
 
0.8%
3 2
 
0.6%
2형 1
 
0.3%

Length

2024-04-30T01:42:48.362375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:48.472615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 172
48.3%
na 166
46.6%
1 12
 
3.4%
6 3
 
0.8%
3 2
 
0.6%
2형 1
 
0.3%

Unnamed: 14
Categorical

Distinct23
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
115 
<NA>
113 
8
26 
6
22 
4
18 
Other values (18)
62 

Length

Max length4
Median length1
Mean length2.0421348
Min length1

Unique

Unique8 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row<NA>
3rd row3L형
4th row408
5th row<NA>

Common Values

ValueCountFrequency (%)
0 115
32.3%
<NA> 113
31.7%
8 26
 
7.3%
6 22
 
6.2%
4 18
 
5.1%
3 12
 
3.4%
5 12
 
3.4%
12 8
 
2.2%
7 8
 
2.2%
9 4
 
1.1%
Other values (13) 18
 
5.1%

Length

2024-04-30T01:42:48.589434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 115
32.3%
na 113
31.7%
8 26
 
7.3%
6 22
 
6.2%
4 18
 
5.1%
3 12
 
3.4%
5 12
 
3.4%
12 8
 
2.2%
7 8
 
2.2%
9 4
 
1.1%
Other values (13) 18
 
5.1%

Unnamed: 15
Categorical

Distinct24
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
115 
<NA>
113 
6
24 
3
20 
4
14 
Other values (19)
70 

Length

Max length4
Median length1
Mean length2.0280899
Min length1

Unique

Unique8 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row<NA>
3rd row3R형
4th row341
5th row<NA>

Common Values

ValueCountFrequency (%)
0 115
32.3%
<NA> 113
31.7%
6 24
 
6.7%
3 20
 
5.6%
4 14
 
3.9%
7 12
 
3.4%
5 12
 
3.4%
2 12
 
3.4%
8 8
 
2.2%
11 4
 
1.1%
Other values (14) 22
 
6.2%

Length

2024-04-30T01:42:48.696951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 115
32.3%
na 113
31.7%
6 24
 
6.7%
3 20
 
5.6%
4 14
 
3.9%
7 12
 
3.4%
5 12
 
3.4%
2 12
 
3.4%
8 8
 
2.2%
11 4
 
1.1%
Other values (14) 22
 
6.2%

Unnamed: 16
Categorical

IMBALANCE 

Distinct11
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
160 
<NA>
158 
1
26 
2
 
3
17
 
2
Other values (6)
 
7

Length

Max length4
Median length1
Mean length2.3426966
Min length1

Unique

Unique5 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row4형
4th row17
5th row<NA>

Common Values

ValueCountFrequency (%)
0 160
44.9%
<NA> 158
44.4%
1 26
 
7.3%
2 3
 
0.8%
17 2
 
0.6%
3 2
 
0.6%
4형 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
6 1
 
0.3%

Length

2024-04-30T01:42:48.800906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 160
44.9%
na 158
44.4%
1 26
 
7.3%
2 3
 
0.8%
17 2
 
0.6%
3 2
 
0.6%
4형 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
6 1
 
0.3%

Unnamed: 17
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
183 
<NA>
172 
5형
 
1

Length

Max length4
Median length1
Mean length2.4522472
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row5형
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 183
51.4%
<NA> 172
48.3%
5형 1
 
0.3%

Length

2024-04-30T01:42:48.907638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:49.001813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
51.4%
na 172
48.3%
5형 1
 
0.3%

Unnamed: 18
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
165 
<NA>
163 
1
 
16
3
 
4
10
 
2
Other values (4)
 
6

Length

Max length12
Median length1
Mean length2.4129213
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row장애인용 (삼성SDS)
3rd row6형
4th row10
5th row<NA>

Common Values

ValueCountFrequency (%)
0 165
46.3%
<NA> 163
45.8%
1 16
 
4.5%
3 4
 
1.1%
10 2
 
0.6%
2 2
 
0.6%
4 2
 
0.6%
장애인용 (삼성SDS) 1
 
0.3%
6형 1
 
0.3%

Length

2024-04-30T01:42:49.092891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:49.186049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
46.2%
na 163
45.7%
1 16
 
4.5%
3 4
 
1.1%
10 2
 
0.6%
2 2
 
0.6%
4 2
 
0.6%
장애인용 1
 
0.3%
삼성sds 1
 
0.3%
6형 1
 
0.3%

Unnamed: 19
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
165 
<NA>
164 
1
 
16
3
 
4
10
 
2
Other values (3)
 
5

Length

Max length4
Median length1
Mean length2.3904494
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row7형
4th row10
5th row<NA>

Common Values

ValueCountFrequency (%)
0 165
46.3%
<NA> 164
46.1%
1 16
 
4.5%
3 4
 
1.1%
10 2
 
0.6%
2 2
 
0.6%
4 2
 
0.6%
7형 1
 
0.3%

Length

2024-04-30T01:42:49.294012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:49.402016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
46.3%
na 164
46.1%
1 16
 
4.5%
3 4
 
1.1%
10 2
 
0.6%
2 2
 
0.6%
4 2
 
0.6%
7형 1
 
0.3%

Unnamed: 20
Categorical

Distinct21
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
140 
<NA>
83 
0
77 
2
31 
8
 
5
Other values (16)
20 

Length

Max length50
Median length1
Mean length1.9101124
Min length1

Unique

Unique12 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row전용(C&C_Atype)
3rd row1형
4th row111
5th row<NA>

Common Values

ValueCountFrequency (%)
1 140
39.3%
<NA> 83
23.3%
0 77
21.6%
2 31
 
8.7%
8 5
 
1.4%
111 2
 
0.6%
3 2
 
0.6%
4 2
 
0.6%
12 2
 
0.6%
7 1
 
0.3%
Other values (11) 11
 
3.1%

Length

2024-04-30T01:42:49.519874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 140
38.6%
na 83
22.9%
0 77
21.2%
2 31
 
8.5%
8 5
 
1.4%
4 2
 
0.6%
12 2
 
0.6%
2
 
0.6%
3 2
 
0.6%
111 2
 
0.6%
Other values (17) 17
 
4.7%

Unnamed: 21
Categorical

Distinct21
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
112 
<NA>
85 
0
77 
2
53 
4
 
4
Other values (16)
25 

Length

Max length4
Median length1
Mean length1.7696629
Min length1

Unique

Unique9 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row136
5th row<NA>

Common Values

ValueCountFrequency (%)
1 112
31.5%
<NA> 85
23.9%
0 77
21.6%
2 53
14.9%
4 4
 
1.1%
5 4
 
1.1%
3 2
 
0.6%
11 2
 
0.6%
13 2
 
0.6%
7 2
 
0.6%
Other values (11) 13
 
3.7%

Length

2024-04-30T01:42:49.620982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 112
31.5%
na 85
23.9%
0 77
21.6%
2 53
14.9%
4 4
 
1.1%
5 4
 
1.1%
7 2
 
0.6%
136 2
 
0.6%
10 2
 
0.6%
13 2
 
0.6%
Other values (11) 13
 
3.7%

Unnamed: 22
Categorical

Distinct19
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
140 
<NA>
85 
0
77 
2
31 
8
 
5
Other values (14)
18 

Length

Max length4
Median length1
Mean length1.755618
Min length1

Unique

Unique10 ?
Unique (%)2.8%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row111
5th row<NA>

Common Values

ValueCountFrequency (%)
1 140
39.3%
<NA> 85
23.9%
0 77
21.6%
2 31
 
8.7%
8 5
 
1.4%
111 2
 
0.6%
3 2
 
0.6%
4 2
 
0.6%
12 2
 
0.6%
11 1
 
0.3%
Other values (9) 9
 
2.5%

Length

2024-04-30T01:42:49.720994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 140
39.3%
na 85
23.9%
0 77
21.6%
2 31
 
8.7%
8 5
 
1.4%
111 2
 
0.6%
3 2
 
0.6%
4 2
 
0.6%
12 2
 
0.6%
7 1
 
0.3%
Other values (9) 9
 
2.5%

Unnamed: 23
Categorical

Distinct12
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
156 
<NA>
149 
2
20 
3
 
10
4
 
10
Other values (7)
 
11

Length

Max length9
Median length1
Mean length2.2949438
Min length1

Unique

Unique4 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row삼성전용(SDS)
3rd row1형
4th row68
5th row<NA>

Common Values

ValueCountFrequency (%)
0 156
43.8%
<NA> 149
41.9%
2 20
 
5.6%
3 10
 
2.8%
4 10
 
2.8%
68 3
 
0.8%
8 2
 
0.6%
5 2
 
0.6%
삼성전용(SDS) 1
 
0.3%
1형 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-04-30T01:42:49.845769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 156
43.8%
na 149
41.9%
2 20
 
5.6%
3 10
 
2.8%
4 10
 
2.8%
68 3
 
0.8%
8 2
 
0.6%
5 2
 
0.6%
삼성전용(sds 1
 
0.3%
1형 1
 
0.3%
Other values (2) 2
 
0.6%

Unnamed: 24
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
183 
<NA>
172 
2형
 
1

Length

Max length4
Median length1
Mean length2.4522472
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 183
51.4%
<NA> 172
48.3%
2형 1
 
0.3%

Length

2024-04-30T01:42:49.965488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:50.074533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
51.4%
na 172
48.3%
2형 1
 
0.3%

Unnamed: 25
Categorical

Distinct11
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
156 
<NA>
150 
2
20 
3
 
10
4
 
10
Other values (6)
 
10

Length

Max length4
Median length1
Mean length2.2808989
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row68
5th row<NA>

Common Values

ValueCountFrequency (%)
0 156
43.8%
<NA> 150
42.1%
2 20
 
5.6%
3 10
 
2.8%
4 10
 
2.8%
68 3
 
0.8%
8 2
 
0.6%
5 2
 
0.6%
3형 1
 
0.3%
41 1
 
0.3%

Length

2024-04-30T01:42:50.190912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 156
43.8%
na 150
42.1%
2 20
 
5.6%
3 10
 
2.8%
4 10
 
2.8%
68 3
 
0.8%
8 2
 
0.6%
5 2
 
0.6%
3형 1
 
0.3%
41 1
 
0.3%

Unnamed: 26
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
170 
2
 
6
전용_우장산 (유니맥)
 
1
1형
 
1

Length

Max length12
Median length1
Mean length2.4662921
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row전용_우장산 (유니맥)
3rd row1형
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 170
47.8%
2 6
 
1.7%
전용_우장산 (유니맥) 1
 
0.3%
1형 1
 
0.3%

Length

2024-04-30T01:42:50.307400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:50.402229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
49.9%
na 170
47.6%
2 6
 
1.7%
전용_우장산 1
 
0.3%
유니맥 1
 
0.3%
1형 1
 
0.3%

Unnamed: 27
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
5
 
6
2형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
5 6
 
1.7%
2형 1
 
0.3%

Length

2024-04-30T01:42:50.532435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:50.640579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
5 6
 
1.7%
2형 1
 
0.3%

Unnamed: 28
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
2
 
6
3형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
2 6
 
1.7%
3형 1
 
0.3%

Length

2024-04-30T01:42:50.758870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:50.853452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
2 6
 
1.7%
3형 1
 
0.3%

Unnamed: 29
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
170 
1
 
6
전용_장지 (국제)
 
1
1형
 
1

Length

Max length10
Median length1
Mean length2.4606742
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row전용_장지 (국제)
3rd row1형
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 170
47.8%
1 6
 
1.7%
전용_장지 (국제) 1
 
0.3%
1형 1
 
0.3%

Length

2024-04-30T01:42:50.958395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:51.057725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
49.9%
na 170
47.6%
1 6
 
1.7%
전용_장지 1
 
0.3%
국제 1
 
0.3%
1형 1
 
0.3%

Unnamed: 30
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
5
 
6
2형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
5 6
 
1.7%
2형 1
 
0.3%

Length

2024-04-30T01:42:51.169225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:51.274713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
5 6
 
1.7%
2형 1
 
0.3%

Unnamed: 31
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
1
 
6
3형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
1 6
 
1.7%
3형 1
 
0.3%

Length

2024-04-30T01:42:51.390677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:51.498515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
1 6
 
1.7%
3형 1
 
0.3%

Unnamed: 32
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
159 
<NA>
157 
1
18 
2
 
15
21
 
2
Other values (5)
 
5

Length

Max length6
Median length1
Mean length2.3511236
Min length1

Unique

Unique5 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row전용(국제)
3rd row1형
4th row21
5th row<NA>

Common Values

ValueCountFrequency (%)
0 159
44.7%
<NA> 157
44.1%
1 18
 
5.1%
2 15
 
4.2%
21 2
 
0.6%
전용(국제) 1
 
0.3%
1형 1
 
0.3%
16 1
 
0.3%
3 1
 
0.3%
17 1
 
0.3%

Length

2024-04-30T01:42:51.598888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:51.722368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
44.7%
na 157
44.1%
1 18
 
5.1%
2 15
 
4.2%
21 2
 
0.6%
전용(국제 1
 
0.3%
1형 1
 
0.3%
16 1
 
0.3%
3 1
 
0.3%
17 1
 
0.3%

Unnamed: 33
Categorical

IMBALANCE 

Distinct13
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
161 
<NA>
159 
5
 
6
8
 
6
3
 
5
Other values (8)
19 

Length

Max length4
Median length1
Mean length2.3539326
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row69
5th row<NA>

Common Values

ValueCountFrequency (%)
0 161
45.2%
<NA> 159
44.7%
5 6
 
1.7%
8 6
 
1.7%
3 5
 
1.4%
7 4
 
1.1%
6 4
 
1.1%
1 4
 
1.1%
69 2
 
0.6%
4 2
 
0.6%
Other values (3) 3
 
0.8%

Length

2024-04-30T01:42:51.852655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 161
45.2%
na 159
44.7%
5 6
 
1.7%
8 6
 
1.7%
3 5
 
1.4%
7 4
 
1.1%
6 4
 
1.1%
1 4
 
1.1%
69 2
 
0.6%
4 2
 
0.6%
Other values (3) 3
 
0.8%

Unnamed: 34
Categorical

Distinct9
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
159 
<NA>
158 
1
18 
2
 
15
21
 
2
Other values (4)
 
4

Length

Max length4
Median length1
Mean length2.3455056
Min length1

Unique

Unique4 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row21
5th row<NA>

Common Values

ValueCountFrequency (%)
0 159
44.7%
<NA> 158
44.4%
1 18
 
5.1%
2 15
 
4.2%
21 2
 
0.6%
3형 1
 
0.3%
16 1
 
0.3%
3 1
 
0.3%
17 1
 
0.3%

Length

2024-04-30T01:42:51.966457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:52.060859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
44.7%
na 158
44.4%
1 18
 
5.1%
2 15
 
4.2%
21 2
 
0.6%
3형 1
 
0.3%
16 1
 
0.3%
3 1
 
0.3%
17 1
 
0.3%

Unnamed: 35
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
167 
<NA>
165 
1
18 
6
 
2
장애인용(국제)
 
1
Other values (3)
 
3

Length

Max length8
Median length1
Mean length2.4129213
Min length1

Unique

Unique4 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row장애인용(국제)
3rd row1형
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
0 167
46.9%
<NA> 165
46.3%
1 18
 
5.1%
6 2
 
0.6%
장애인용(국제) 1
 
0.3%
1형 1
 
0.3%
2 1
 
0.3%
4 1
 
0.3%

Length

2024-04-30T01:42:52.224190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:52.335641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 167
46.9%
na 165
46.3%
1 18
 
5.1%
6 2
 
0.6%
장애인용(국제 1
 
0.3%
1형 1
 
0.3%
2 1
 
0.3%
4 1
 
0.3%

Unnamed: 36
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
167 
<NA>
166 
1
18 
6
 
2
2형
 
1
Other values (2)
 
2

Length

Max length4
Median length1
Mean length2.4016854
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
0 167
46.9%
<NA> 166
46.6%
1 18
 
5.1%
6 2
 
0.6%
2형 1
 
0.3%
2 1
 
0.3%
4 1
 
0.3%

Length

2024-04-30T01:42:52.461808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:52.580114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 167
46.9%
na 166
46.6%
1 18
 
5.1%
6 2
 
0.6%
2형 1
 
0.3%
2 1
 
0.3%
4 1
 
0.3%

Unnamed: 37
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
169 
<NA>
166 
1
 
14
2
 
3
5
 
2
Other values (2)
 
2

Length

Max length9
Median length1
Mean length2.4241573
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row장애인용(유니맥)
3rd row1형
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
0 169
47.5%
<NA> 166
46.6%
1 14
 
3.9%
2 3
 
0.8%
5 2
 
0.6%
장애인용(유니맥) 1
 
0.3%
1형 1
 
0.3%

Length

2024-04-30T01:42:52.960263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:53.086047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 169
47.5%
na 166
46.6%
1 14
 
3.9%
2 3
 
0.8%
5 2
 
0.6%
장애인용(유니맥 1
 
0.3%
1형 1
 
0.3%

Unnamed: 38
Categorical

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
169 
<NA>
167 
1
 
14
2
 
3
5
 
2

Length

Max length4
Median length1
Mean length2.4101124
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
0 169
47.5%
<NA> 167
46.9%
1 14
 
3.9%
2 3
 
0.8%
5 2
 
0.6%
2형 1
 
0.3%

Length

2024-04-30T01:42:53.194520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:53.293457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 169
47.5%
na 167
46.9%
1 14
 
3.9%
2 3
 
0.8%
5 2
 
0.6%
2형 1
 
0.3%

Unnamed: 39
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
169 
1
 
6
개방형 개집표기_마곡 (소트프너울)
 
1
1형
 
1

Length

Max length19
Median length1
Mean length2.5280899
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row개방형 개집표기_마곡 (소트프너울)
3rd row1형
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 169
47.5%
1 6
 
1.7%
개방형 개집표기_마곡 (소트프너울) 1
 
0.3%
1형 1
 
0.3%
기타 개집표기 Utims :168대 1
 
0.3%

Length

2024-04-30T01:42:53.401646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:53.502127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
49.3%
na 169
46.8%
1 6
 
1.7%
개방형 1
 
0.3%
개집표기_마곡 1
 
0.3%
소트프너울 1
 
0.3%
1형 1
 
0.3%
기타 1
 
0.3%
개집표기 1
 
0.3%
utims 1
 
0.3%

Unnamed: 40
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
3
 
6
2형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
3 6
 
1.7%
2형 1
 
0.3%

Length

2024-04-30T01:42:53.624772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:53.720762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
3 6
 
1.7%
2형 1
 
0.3%

Unnamed: 41
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
1
 
6
3형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
1 6
 
1.7%
3형 1
 
0.3%

Length

2024-04-30T01:42:53.835012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:53.929713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
1 6
 
1.7%
3형 1
 
0.3%

Unnamed: 42
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
170 
5
 
6
개방형 개집표기_건대입구 (국제)
 
1
1형
 
1

Length

Max length18
Median length1
Mean length2.4831461
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row개방형 개집표기_건대입구 (국제)
3rd row1형
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 170
47.8%
5 6
 
1.7%
개방형 개집표기_건대입구 (국제) 1
 
0.3%
1형 1
 
0.3%

Length

2024-04-30T01:42:54.024410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:54.135851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
49.7%
na 170
47.5%
5 6
 
1.7%
개방형 1
 
0.3%
개집표기_건대입구 1
 
0.3%
국제 1
 
0.3%
1형 1
 
0.3%

Unnamed: 43
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
9
 
6
2형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row2형
4th row9
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
9 6
 
1.7%
2형 1
 
0.3%

Length

2024-04-30T01:42:54.241507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:54.351799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
9 6
 
1.7%
2형 1
 
0.3%

Unnamed: 44
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
5
 
6
3형
 
1

Length

Max length4
Median length1
Mean length2.4438202
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row3형
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
5 6
 
1.7%
3형 1
 
0.3%

Length

2024-04-30T01:42:54.452785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:54.548040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
50.0%
na 171
48.0%
5 6
 
1.7%
3형 1
 
0.3%

Unnamed: 45
Categorical

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
170 
<NA>
162 
1
 
12
2
 
6
12
 
4
Other values (2)
 
2

Length

Max length20
Median length1
Mean length2.4325843
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row개방형 비상개집표기 (부천구간:국제)
3rd row1형
4th row12
5th row<NA>

Common Values

ValueCountFrequency (%)
0 170
47.8%
<NA> 162
45.5%
1 12
 
3.4%
2 6
 
1.7%
12 4
 
1.1%
개방형 비상개집표기 (부천구간:국제) 1
 
0.3%
1형 1
 
0.3%

Length

2024-04-30T01:42:54.659252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:54.772227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 170
47.5%
na 162
45.3%
1 12
 
3.4%
2 6
 
1.7%
12 4
 
1.1%
개방형 1
 
0.3%
비상개집표기 1
 
0.3%
부천구간:국제 1
 
0.3%
1형 1
 
0.3%

Unnamed: 46
Categorical

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
170 
<NA>
163 
1
 
12
2
 
6
12
 
4

Length

Max length4
Median length1
Mean length2.3876404
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row5형
4th row12
5th row<NA>

Common Values

ValueCountFrequency (%)
0 170
47.8%
<NA> 163
45.8%
1 12
 
3.4%
2 6
 
1.7%
12 4
 
1.1%
5형 1
 
0.3%

Length

2024-04-30T01:42:54.897485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:55.018445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 170
47.8%
na 163
45.8%
1 12
 
3.4%
2 6
 
1.7%
12 4
 
1.1%
5형 1
 
0.3%

Unnamed: 47
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
169 
<NA>
166 
1
 
9
2
 
5
3
 
3
Other values (3)
 
4

Length

Max length15
Median length1
Mean length2.4410112
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row개방형 비상개집표기 (국제)
3rd row1형
4th row7
5th row<NA>

Common Values

ValueCountFrequency (%)
0 169
47.5%
<NA> 166
46.6%
1 9
 
2.5%
2 5
 
1.4%
3 3
 
0.8%
7 2
 
0.6%
개방형 비상개집표기 (국제) 1
 
0.3%
1형 1
 
0.3%

Length

2024-04-30T01:42:55.126994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:55.239476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 169
47.2%
na 166
46.4%
1 9
 
2.5%
2 5
 
1.4%
3 3
 
0.8%
7 2
 
0.6%
개방형 1
 
0.3%
비상개집표기 1
 
0.3%
국제 1
 
0.3%
1형 1
 
0.3%

Unnamed: 48
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
169 
<NA>
167 
1
 
9
2
 
5
3
 
3
Other values (2)
 
3

Length

Max length4
Median length1
Mean length2.4101124
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row5형
4th row7
5th row<NA>

Common Values

ValueCountFrequency (%)
0 169
47.5%
<NA> 167
46.9%
1 9
 
2.5%
2 5
 
1.4%
3 3
 
0.8%
7 2
 
0.6%
5형 1
 
0.3%

Length

2024-04-30T01:42:55.373704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:55.478185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 169
47.5%
na 167
46.9%
1 9
 
2.5%
2 5
 
1.4%
3 3
 
0.8%
7 2
 
0.6%
5형 1
 
0.3%

Unnamed: 49
Categorical

Distinct11
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
146 
0
140 
1
47 
2
 
9
3
 
5
Other values (6)
 
9

Length

Max length16
Median length1
Mean length2.2837079
Min length1

Unique

Unique4 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row개방형 비상개집표기 (유니맥)
3rd row1형
4th row29
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 146
41.0%
0 140
39.3%
1 47
 
13.2%
2 9
 
2.5%
3 5
 
1.4%
5 3
 
0.8%
29 2
 
0.6%
개방형 비상개집표기 (유니맥) 1
 
0.3%
1형 1
 
0.3%
13 1
 
0.3%

Length

2024-04-30T01:42:55.607337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 146
40.8%
0 140
39.1%
1 47
 
13.1%
2 9
 
2.5%
3 5
 
1.4%
5 3
 
0.8%
29 2
 
0.6%
개방형 1
 
0.3%
비상개집표기 1
 
0.3%
유니맥 1
 
0.3%
Other values (3) 3
 
0.8%

Unnamed: 50
Categorical

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
147 
0
140 
1
47 
2
 
9
3
 
5
Other values (5)
 
8

Length

Max length4
Median length1
Mean length2.25
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row5형
4th row29
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 147
41.3%
0 140
39.3%
1 47
 
13.2%
2 9
 
2.5%
3 5
 
1.4%
5 3
 
0.8%
29 2
 
0.6%
5형 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%

Length

2024-04-30T01:42:55.716885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:55.829515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
41.3%
0 140
39.3%
1 47
 
13.2%
2 9
 
2.5%
3 5
 
1.4%
5 3
 
0.8%
29 2
 
0.6%
5형 1
 
0.3%
13 1
 
0.3%
8 1
 
0.3%

Unnamed: 51
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
170 
<NA>
167 
1
 
10
2
 
5
5
 
2
Other values (2)
 
2

Length

Max length7
Median length1
Mean length2.4269663
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd rowE/V용게이트
3rd row국제
4th row5
5th row<NA>

Common Values

ValueCountFrequency (%)
0 170
47.8%
<NA> 167
46.9%
1 10
 
2.8%
2 5
 
1.4%
5 2
 
0.6%
E/V용게이트 1
 
0.3%
국제 1
 
0.3%

Length

2024-04-30T01:42:55.953163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:56.054250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 170
47.8%
na 167
46.9%
1 10
 
2.8%
2 5
 
1.4%
5 2
 
0.6%
e/v용게이트 1
 
0.3%
국제 1
 
0.3%

Unnamed: 52
Categorical

Distinct12
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
143 
0
140 
2
32 
1
26 
4
 
3
Other values (7)
 
12

Length

Max length4
Median length1
Mean length2.2191011
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row유니맥
4th row43
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 143
40.2%
0 140
39.3%
2 32
 
9.0%
1 26
 
7.3%
4 3
 
0.8%
43 2
 
0.6%
7 2
 
0.6%
9 2
 
0.6%
3 2
 
0.6%
5 2
 
0.6%
Other values (2) 2
 
0.6%

Length

2024-04-30T01:42:56.161122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 143
40.2%
0 140
39.3%
2 32
 
9.0%
1 26
 
7.3%
4 3
 
0.8%
43 2
 
0.6%
7 2
 
0.6%
9 2
 
0.6%
3 2
 
0.6%
5 2
 
0.6%
Other values (2) 2
 
0.6%

Unnamed: 53
Categorical

Distinct19
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
158 
2
88 
<NA>
48 
0
40 
13
 
3
Other values (14)
19 

Length

Max length11
Median length1
Mean length1.4803371
Min length1

Unique

Unique9 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row비상 게이트 (철문)
3rd row<NA>
4th row170
5th row<NA>

Common Values

ValueCountFrequency (%)
1 158
44.4%
2 88
24.7%
<NA> 48
 
13.5%
0 40
 
11.2%
13 3
 
0.8%
3 2
 
0.6%
16 2
 
0.6%
170 2
 
0.6%
15 2
 
0.6%
9 2
 
0.6%
Other values (9) 9
 
2.5%

Length

2024-04-30T01:42:56.270530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 158
44.1%
2 88
24.6%
na 48
 
13.4%
0 40
 
11.2%
13 3
 
0.8%
3 2
 
0.6%
16 2
 
0.6%
170 2
 
0.6%
15 2
 
0.6%
9 2
 
0.6%
Other values (11) 11
 
3.1%

Unnamed: 54
Categorical

IMBALANCE 

Distinct16
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
312 
<NA>
 
16
0
 
7
12
 
3
9
 
3
Other values (11)
 
15

Length

Max length8
Median length1
Mean length1.2022472
Min length1

Unique

Unique7 ?
Unique (%)2.0%

Sample

1st row비상모드제어장치
2nd row<NA>
3rd row<NA>
4th row156
5th row<NA>

Common Values

ValueCountFrequency (%)
1 312
87.6%
<NA> 16
 
4.5%
0 7
 
2.0%
12 3
 
0.8%
9 3
 
0.8%
156 2
 
0.6%
14 2
 
0.6%
8 2
 
0.6%
51 2
 
0.6%
비상모드제어장치 1
 
0.3%
Other values (6) 6
 
1.7%

Length

2024-04-30T01:42:56.401134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 312
87.6%
na 16
 
4.5%
0 7
 
2.0%
12 3
 
0.8%
9 3
 
0.8%
156 2
 
0.6%
14 2
 
0.6%
8 2
 
0.6%
51 2
 
0.6%
비상모드제어장치 1
 
0.3%
Other values (6) 6
 
1.7%

Unnamed: 55
Categorical

IMBALANCE 

Distinct30
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2
188 
4
82 
3
24 
<NA>
 
15
5
 
8
Other values (25)
39 

Length

Max length7
Median length1
Mean length1.238764
Min length1

Unique

Unique19 ?
Unique (%)5.3%

Sample

1st row1회권 장비
2nd row1회권 발매기
3rd row<NA>
4th row440
5th row442

Common Values

ValueCountFrequency (%)
2 188
52.8%
4 82
23.0%
3 24
 
6.7%
<NA> 15
 
4.2%
5 8
 
2.2%
0 8
 
2.2%
6 4
 
1.1%
440 2
 
0.6%
37 2
 
0.6%
12 2
 
0.6%
Other values (20) 21
 
5.9%

Length

2024-04-30T01:42:56.541105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 188
52.5%
4 82
22.9%
3 24
 
6.7%
na 15
 
4.2%
5 8
 
2.2%
0 8
 
2.2%
6 4
 
1.1%
12 2
 
0.6%
1회권 2
 
0.6%
8 2
 
0.6%
Other values (21) 23
 
6.4%

Unnamed: 56
Categorical

IMBALANCE 

Distinct23
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
198 
2
94 
<NA>
 
16
3
 
14
0
 
8
Other values (18)
26 

Length

Max length7
Median length1
Mean length1.2191011
Min length1

Unique

Unique11 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row보증금 환급기
3rd row<NA>
4th row223
5th row224

Common Values

ValueCountFrequency (%)
1 198
55.6%
2 94
26.4%
<NA> 16
 
4.5%
3 14
 
3.9%
0 8
 
2.2%
16 3
 
0.8%
223 2
 
0.6%
10 2
 
0.6%
12 2
 
0.6%
5 2
 
0.6%
Other values (13) 15
 
4.2%

Length

2024-04-30T01:42:56.673803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 198
55.5%
2 94
26.3%
na 16
 
4.5%
3 14
 
3.9%
0 8
 
2.2%
16 3
 
0.8%
5 2
 
0.6%
17 2
 
0.6%
4 2
 
0.6%
12 2
 
0.6%
Other values (14) 16
 
4.5%

Unnamed: 57
Categorical

Distinct17
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
124 
<NA>
98 
0
91 
2
21 
10
 
3
Other values (12)
19 

Length

Max length9
Median length1
Mean length1.8735955
Min length1

Unique

Unique7 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row교통 카드 정산기
3rd row<NA>
4th row86
5th row87

Common Values

ValueCountFrequency (%)
1 124
34.8%
<NA> 98
27.5%
0 91
25.6%
2 21
 
5.9%
10 3
 
0.8%
8 3
 
0.8%
3 3
 
0.8%
86 2
 
0.6%
4 2
 
0.6%
6 2
 
0.6%
Other values (7) 7
 
2.0%

Length

2024-04-30T01:42:56.799590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 124
34.6%
na 98
27.4%
0 91
25.4%
2 21
 
5.9%
10 3
 
0.8%
8 3
 
0.8%
3 3
 
0.8%
4 2
 
0.6%
6 2
 
0.6%
86 2
 
0.6%
Other values (9) 9
 
2.5%

Unnamed: 58
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
157 
0
152 
1
35 
2
 
4
15
 
2
Other values (5)
 
6

Length

Max length9
Median length1
Mean length2.3539326
Min length1

Unique

Unique4 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row교통 카드 발권기
3rd row<NA>
4th row15
5th row16

Common Values

ValueCountFrequency (%)
<NA> 157
44.1%
0 152
42.7%
1 35
 
9.8%
2 4
 
1.1%
15 2
 
0.6%
4 2
 
0.6%
교통 카드 발권기 1
 
0.3%
16 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%

Length

2024-04-30T01:42:56.920713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:57.044839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
43.9%
0 152
42.5%
1 35
 
9.8%
2 4
 
1.1%
15 2
 
0.6%
4 2
 
0.6%
교통 1
 
0.3%
카드 1
 
0.3%
발권기 1
 
0.3%
16 1
 
0.3%
Other values (2) 2
 
0.6%

Unnamed: 59
Categorical

IMBALANCE 

Distinct23
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
222 
2
78 
<NA>
 
17
0
 
10
3
 
6
Other values (18)
23 

Length

Max length6
Median length1
Mean length1.2275281
Min length1

Unique

Unique14 ?
Unique (%)3.9%

Sample

1st row충전기
2nd row유인 충전기
3rd row<NA>
4th row198
5th row200

Common Values

ValueCountFrequency (%)
1 222
62.4%
2 78
 
21.9%
<NA> 17
 
4.8%
0 10
 
2.8%
3 6
 
1.7%
12 3
 
0.8%
14 2
 
0.6%
198 2
 
0.6%
20 2
 
0.6%
11 1
 
0.3%
Other values (13) 13
 
3.7%

Length

2024-04-30T01:42:57.170720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 222
62.2%
2 78
 
21.8%
na 17
 
4.8%
0 10
 
2.8%
3 6
 
1.7%
12 3
 
0.8%
14 2
 
0.6%
198 2
 
0.6%
20 2
 
0.6%
충전기 2
 
0.6%
Other values (13) 13
 
3.6%

Unnamed: 60
Categorical

Distinct23
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2
162 
1
84 
<NA>
26 
3
24 
0
21 
Other values (18)
39 

Length

Max length6
Median length1
Mean length1.3005618
Min length1

Unique

Unique11 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row무인 충전기
3rd row<NA>
4th row277
5th row279

Common Values

ValueCountFrequency (%)
2 162
45.5%
1 84
23.6%
<NA> 26
 
7.3%
3 24
 
6.7%
0 21
 
5.9%
4 16
 
4.5%
16 2
 
0.6%
20 2
 
0.6%
18 2
 
0.6%
32 2
 
0.6%
Other values (13) 15
 
4.2%

Length

2024-04-30T01:42:57.281639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 162
45.4%
1 84
23.5%
na 26
 
7.3%
3 24
 
6.7%
0 21
 
5.9%
4 16
 
4.5%
32 2
 
0.6%
277 2
 
0.6%
5 2
 
0.6%
18 2
 
0.6%
Other values (14) 16
 
4.5%

Unnamed: 61
Categorical

IMBALANCE 

Distinct20
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
248 
2
56 
<NA>
 
17
0
 
9
3
 
4
Other values (15)
 
22

Length

Max length7
Median length1
Mean length1.2247191
Min length1

Unique

Unique10 ?
Unique (%)2.8%

Sample

1st row휴대용 정산기
2nd row<NA>
3rd row<NA>
4th row186
5th row188

Common Values

ValueCountFrequency (%)
1 248
69.7%
2 56
 
15.7%
<NA> 17
 
4.8%
0 9
 
2.5%
3 4
 
1.1%
14 3
 
0.8%
11 3
 
0.8%
186 2
 
0.6%
16 2
 
0.6%
12 2
 
0.6%
Other values (10) 10
 
2.8%

Length

2024-04-30T01:42:57.396950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 248
69.5%
2 56
 
15.7%
na 17
 
4.8%
0 9
 
2.5%
3 4
 
1.1%
14 3
 
0.8%
11 3
 
0.8%
186 2
 
0.6%
16 2
 
0.6%
12 2
 
0.6%
Other values (11) 11
 
3.1%

Unnamed: 62
Categorical

IMBALANCE 

Distinct18
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
312 
<NA>
 
14
0
 
7
9
 
3
12
 
3
Other values (13)
 
17

Length

Max length4
Median length1
Mean length1.1853933
Min length1

Unique

Unique9 ?
Unique (%)2.5%

Sample

1st row전산기류
2nd rowSMS
3rd row<NA>
4th row156
5th row158

Common Values

ValueCountFrequency (%)
1 312
87.6%
<NA> 14
 
3.9%
0 7
 
2.0%
9 3
 
0.8%
12 3
 
0.8%
156 2
 
0.6%
14 2
 
0.6%
51 2
 
0.6%
8 2
 
0.6%
15 1
 
0.3%
Other values (8) 8
 
2.2%

Length

2024-04-30T01:42:57.534211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 312
87.6%
na 14
 
3.9%
0 7
 
2.0%
9 3
 
0.8%
12 3
 
0.8%
156 2
 
0.6%
14 2
 
0.6%
51 2
 
0.6%
8 2
 
0.6%
전산기류 1
 
0.3%
Other values (8) 8
 
2.2%

Unnamed: 63
Categorical

Distinct12
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
141 
0
134 
1
63 
2
 
7
4
 
3
Other values (7)
 
8

Length

Max length4
Median length1
Mean length2.2050562
Min length1

Unique

Unique6 ?
Unique (%)1.7%

Sample

1st row<NA>
2nd rowRMP
3rd row<NA>
4th row32
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 141
39.6%
0 134
37.6%
1 63
17.7%
2 7
 
2.0%
4 3
 
0.8%
32 2
 
0.6%
RMP 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-04-30T01:42:57.639977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 141
39.6%
0 134
37.6%
1 63
17.7%
2 7
 
2.0%
4 3
 
0.8%
32 2
 
0.6%
rmp 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.6%

Unnamed: 64
Categorical

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
157 
0
149 
1
41 
2
 
3
15
 
2
Other values (3)
 
4

Length

Max length4
Median length1
Mean length2.3342697
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd rowMSC
3rd row<NA>
4th row15
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 157
44.1%
0 149
41.9%
1 41
 
11.5%
2 3
 
0.8%
15 2
 
0.6%
4 2
 
0.6%
MSC 1
 
0.3%
5 1
 
0.3%

Length

2024-04-30T01:42:57.749525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:57.850475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
44.1%
0 149
41.9%
1 41
 
11.5%
2 3
 
0.8%
15 2
 
0.6%
4 2
 
0.6%
msc 1
 
0.3%
5 1
 
0.3%

Unnamed: 65
Categorical

IMBALANCE 

Distinct11
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
156 
0
148 
1
44 
MWS
 
1
14
 
1
Other values (6)
 
6

Length

Max length4
Median length1
Mean length2.3286517
Min length1

Unique

Unique8 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd rowMWS
3rd row<NA>
4th row14
5th row16

Common Values

ValueCountFrequency (%)
<NA> 156
43.8%
0 148
41.6%
1 44
 
12.4%
MWS 1
 
0.3%
14 1
 
0.3%
16 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%
2 1
 
0.3%

Length

2024-04-30T01:42:57.960194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 156
43.8%
0 148
41.6%
1 44
 
12.4%
mws 1
 
0.3%
14 1
 
0.3%
16 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%
2 1
 
0.3%

Unnamed: 66
Categorical

IMBALANCE 

Distinct18
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
308 
<NA>
 
16
0
 
7
2
 
4
9
 
3
Other values (13)
 
18

Length

Max length5
Median length1
Mean length1.1938202
Min length1

Unique

Unique9 ?
Unique (%)2.5%

Sample

1st row통신 장치
2nd row<NA>
3rd row<NA>
4th row158
5th row<NA>

Common Values

ValueCountFrequency (%)
1 308
86.5%
<NA> 16
 
4.5%
0 7
 
2.0%
2 4
 
1.1%
9 3
 
0.8%
12 3
 
0.8%
158 2
 
0.6%
51 2
 
0.6%
8 2
 
0.6%
16 1
 
0.3%
Other values (8) 8
 
2.2%

Length

2024-04-30T01:42:58.078850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 308
86.3%
na 16
 
4.5%
0 7
 
2.0%
2 4
 
1.1%
9 3
 
0.8%
12 3
 
0.8%
158 2
 
0.6%
51 2
 
0.6%
8 2
 
0.6%
장치 1
 
0.3%
Other values (9) 9
 
2.5%

Unnamed: 67
Categorical

IMBALANCE 

Distinct18
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
276 
2
36 
<NA>
 
16
0
 
7
12
 
3
Other values (13)
 
18

Length

Max length4
Median length1
Mean length1.1994382
Min length1

Unique

Unique9 ?
Unique (%)2.5%

Sample

1st rowUPS
2nd row<NA>
3rd row<NA>
4th row174
5th row<NA>

Common Values

ValueCountFrequency (%)
1 276
77.5%
2 36
 
10.1%
<NA> 16
 
4.5%
0 7
 
2.0%
12 3
 
0.8%
11 3
 
0.8%
174 2
 
0.6%
14 2
 
0.6%
10 2
 
0.6%
19 1
 
0.3%
Other values (8) 8
 
2.2%

Length

2024-04-30T01:42:58.198655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 276
77.5%
2 36
 
10.1%
na 16
 
4.5%
0 7
 
2.0%
12 3
 
0.8%
11 3
 
0.8%
174 2
 
0.6%
14 2
 
0.6%
10 2
 
0.6%
ups 1
 
0.3%
Other values (8) 8
 
2.2%

Unnamed: 68
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
178 
<NA>
171 
1
 
6
부정 방지 시스템
 
1

Length

Max length9
Median length1
Mean length2.4634831
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row부정 방지 시스템
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
0 178
50.0%
<NA> 171
48.0%
1 6
 
1.7%
부정 방지 시스템 1
 
0.3%

Length

2024-04-30T01:42:58.333141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:58.434015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
49.7%
na 171
47.8%
1 6
 
1.7%
부정 1
 
0.3%
방지 1
 
0.3%
시스템 1
 
0.3%

Unnamed: 69
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
182 
<NA>
171 
3
 
2
교통 카드 조회기
 
1

Length

Max length9
Median length1
Mean length2.4634831
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row교통 카드 조회기
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 182
51.1%
<NA> 171
48.0%
3 2
 
0.6%
교통 카드 조회기 1
 
0.3%

Length

2024-04-30T01:42:58.540242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:58.643854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 182
50.8%
na 171
47.8%
3 2
 
0.6%
교통 1
 
0.3%
카드 1
 
0.3%
조회기 1
 
0.3%

Unnamed: 70
Categorical

IMBALANCE 

Distinct25
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
242 
2
36 
3
26 
<NA>
 
11
6
 
4
Other values (20)
37 

Length

Max length6
Median length1
Mean length1.1853933
Min length1

Unique

Unique9 ?
Unique (%)2.5%

Sample

1st row전산네트워크
2nd row스위치
3rd row<NA>
4th row256
5th row<NA>

Common Values

ValueCountFrequency (%)
1 242
68.0%
2 36
 
10.1%
3 26
 
7.3%
<NA> 11
 
3.1%
6 4
 
1.1%
7 4
 
1.1%
0 3
 
0.8%
16 3
 
0.8%
21 3
 
0.8%
15 3
 
0.8%
Other values (15) 21
 
5.9%

Length

2024-04-30T01:42:58.758032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 242
68.0%
2 36
 
10.1%
3 26
 
7.3%
na 11
 
3.1%
6 4
 
1.1%
7 4
 
1.1%
0 3
 
0.8%
16 3
 
0.8%
21 3
 
0.8%
15 3
 
0.8%
Other values (15) 21
 
5.9%

Unnamed: 71
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
183 
<NA>
172 
클라 이언트
 
1

Length

Max length6
Median length1
Mean length2.4634831
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row클라 이언트
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 183
51.4%
<NA> 172
48.3%
클라 이언트 1
 
0.3%

Length

2024-04-30T01:42:58.894680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:59.294917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
51.3%
na 172
48.2%
클라 1
 
0.3%
이언트 1
 
0.3%

참고사항
Categorical

IMBALANCE 

Distinct20
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
230 
2
54 
<NA>
26 
0
 
22
3
 
4
Other values (15)
 
20

Length

Max length8
Median length1
Mean length1.2949438
Min length1

Unique

Unique11 ?
Unique (%)3.1%

Sample

1st row역사환불 서비스
2nd row<NA>
3rd row<NA>
4th row175
5th row<NA>

Common Values

ValueCountFrequency (%)
1 230
64.6%
2 54
 
15.2%
<NA> 26
 
7.3%
0 22
 
6.2%
3 4
 
1.1%
14 3
 
0.8%
175 2
 
0.6%
16 2
 
0.6%
11 2
 
0.6%
17 1
 
0.3%
Other values (10) 10
 
2.8%

Length

2024-04-30T01:42:59.401657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 230
64.4%
2 54
 
15.1%
na 26
 
7.3%
0 22
 
6.2%
3 4
 
1.1%
14 3
 
0.8%
175 2
 
0.6%
16 2
 
0.6%
11 2
 
0.6%
56 1
 
0.3%
Other values (11) 11
 
3.1%

Unnamed: 73
Categorical

IMBALANCE 

Distinct17
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
230 
2
58 
<NA>
26 
0
 
22
14
 
3
Other values (12)
 
17

Length

Max length9
Median length1
Mean length1.2949438
Min length1

Unique

Unique8 ?
Unique (%)2.2%

Sample

1st row5678 행복미소
2nd row<NA>
3rd row<NA>
4th row173
5th row<NA>

Common Values

ValueCountFrequency (%)
1 230
64.6%
2 58
 
16.3%
<NA> 26
 
7.3%
0 22
 
6.2%
14 3
 
0.8%
11 3
 
0.8%
16 2
 
0.6%
17 2
 
0.6%
173 2
 
0.6%
8 1
 
0.3%
Other values (7) 7
 
2.0%

Length

2024-04-30T01:42:59.515893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 230
64.4%
2 58
 
16.2%
na 26
 
7.3%
0 22
 
6.2%
14 3
 
0.8%
11 3
 
0.8%
16 2
 
0.6%
17 2
 
0.6%
173 2
 
0.6%
행복미소 1
 
0.3%
Other values (8) 8
 
2.2%

Unnamed: 74
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
334 
0
 
11
1
 
8
자전거 보관설비
 
1
6
 
1

Length

Max length8
Median length4
Mean length3.8342697
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row자전거 보관설비
2nd row<NA>
3rd row<NA>
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 334
93.8%
0 11
 
3.1%
1 8
 
2.2%
자전거 보관설비 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%

Length

2024-04-30T01:42:59.644604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:59.750631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 334
93.6%
0 11
 
3.1%
1 8
 
2.2%
자전거 1
 
0.3%
보관설비 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%

Unnamed: 75
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
166 
<NA>
165 
1
17 
2
 
4
7
 
2
Other values (2)
 
2

Length

Max length14
Median length1
Mean length2.4269663
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row유아용 게이트 (디자인실)
2nd row<NA>
3rd row<NA>
4th row7
5th row<NA>

Common Values

ValueCountFrequency (%)
0 166
46.6%
<NA> 165
46.3%
1 17
 
4.8%
2 4
 
1.1%
7 2
 
0.6%
유아용 게이트 (디자인실) 1
 
0.3%
3 1
 
0.3%

Length

2024-04-30T01:42:59.855706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:42:59.957115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 166
46.4%
na 165
46.1%
1 17
 
4.7%
2 4
 
1.1%
7 2
 
0.6%
유아용 1
 
0.3%
게이트 1
 
0.3%
디자인실 1
 
0.3%
3 1
 
0.3%

Sample

Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71참고사항Unnamed: 73Unnamed: 74Unnamed: 75
0호선외부 역 번호구분 역사수:156역 연신내제외시설물량단말기레이턴트Agm 장비 수량개집표기<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>비상모드제어장치1회권 장비<NA><NA><NA>충전기<NA>휴대용 정산기전산기류<NA><NA><NA>통신 장치UPS부정 방지 시스템교통 카드 조회기전산네트워크<NA>역사환불 서비스5678 행복미소자전거 보관설비유아용 게이트 (디자인실)
1<NA><NA><NA><NA><NA><NA><NA>EMI(영국TTSI)<NA><NA><NA><NA>삼성병합(SDS)<NA><NA><NA><NA><NA>장애인용 (삼성SDS)<NA>전용(C&C_Atype)<NA><NA>삼성전용(SDS)<NA><NA>전용_우장산 (유니맥)<NA><NA>전용_장지 (국제)<NA><NA>전용(국제)<NA><NA>장애인용(국제)<NA>장애인용(유니맥)<NA>개방형 개집표기_마곡 (소트프너울)<NA><NA>개방형 개집표기_건대입구 (국제)<NA><NA>개방형 비상개집표기 (부천구간:국제)<NA>개방형 비상개집표기 (국제)<NA>개방형 비상개집표기 (유니맥)<NA>E/V용게이트<NA>비상 게이트 (철문)<NA>1회권 발매기보증금 환급기교통 카드 정산기교통 카드 발권기유인 충전기무인 충전기<NA>SMSRMPMSCMWS<NA><NA><NA><NA>스위치클라 이언트<NA><NA><NA><NA>
2<NA><NA><NA><NA><NA><NA><NA>1형2형3형4형5형1형2형3L형3R형4형5형6형7형1형2형3형1형2형3형1형2형3형1형2형3형1형2형3형1형2형1형2형1형2형3형1형2형3형1형5형1형5형1형5형국제유니맥<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3장비수량<NA><NA>4684205931462486173433854217367640834117010101111361116806825215121692166551315951212772929543170156440223861519827718615632151415817410256017517367
4<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><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>4422248716200279188158<NA><NA>16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5<NA><NA>1. 기술관리소별(14개)<NA><NA><NA><NA>RF단말기 Utims : 1678대(도봉중정비TB용 3대포함), 실관리수량 : 1675대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>RF자동개집표기 Utims : 646대(도봉중정비TB용 3대포함), 실관리수량 : 643대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타 개집표기 Utims :168대<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><NA><NA><NA><NA><NA><NA><NA><NA>
65호선<NA>방화기지5<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA>
75호선2511방화19610811211<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>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1121<NA><NA>1211<NA><NA><NA>11<NA><NA>1<NA>11<NA><NA>
85호선2512개화산2271392<NA>212<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21121<NA><NA>1211<NA><NA>111<NA><NA>2<NA>11<NA><NA>
95호선2513김포공항381632214<NA>6<NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>221531<NA>1211<NA><NA><NA>11<NA><NA>1<NA>11<NA>1
Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71참고사항Unnamed: 73Unnamed: 74Unnamed: 75
3468호선2821복정1861081111100000000111000000000000000000000000000000112100111100011001011<NA>0
3478호선2822산성24918131030100000000111000000000111110000000000000000112100121100011001011<NA>0
3488호선2823남한산성입구241018132131200000000121000000000000000000000000000000112100121100011001011<NA>0
3498호선2824단대오거리271221152132200000000111000000000000000000000000000002113100121100011001011<NA>0
3508호선2825신흥175961130100000000000000000000000000000000000000000112100121100011001011<NA>0
3518호선2826수진2071391130100000000111000000000000000000000000000000112100121100011001011<NA>0
3528호선2827모란2071281121100000000000000000000000000000000000000002112100121101111001011<NA>0
3538호선<NA>모란기지60000000000000000000000000000000000000000000000000000000000000000006000<NA>0
3548호선178호선 소계4291622992122612511326000000001721170000001511111100000000001133091517392031203219171221718002901817<NA>0
355연신내제외156역호선별 합계46882059314624861734338542173676408341170101011113611168068252151216921665513159512127729295431701564402238615198277186156321515158174102560175173<NA>7

Duplicate rows

Most frequently occurring

Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71참고사항Unnamed: 73Unnamed: 74Unnamed: 75# duplicates
0<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3