Overview

Dataset statistics

Number of variables52
Number of observations265
Missing cells1129
Missing cells (%)8.2%
Duplicate rows2
Duplicate rows (%)0.8%
Total size in memory108.6 KiB
Average record size in memory419.5 B

Variable types

Categorical43
Text6
Unsupported1
Numeric2

Dataset

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

Alerts

Dataset has 2 (0.8%) duplicate rowsDuplicates
집계 시스템 is highly imbalanced (78.3%)Imbalance
Unnamed: 8 is highly imbalanced (70.8%)Imbalance
Unnamed: 11 is highly imbalanced (52.3%)Imbalance
장애인게이트 is highly imbalanced (79.3%)Imbalance
유인충전기 is highly imbalanced (56.2%)Imbalance
개집표기 통제시스템 is highly imbalanced (78.3%)Imbalance
AFC UPS is highly imbalanced (56.0%)Imbalance
Unnamed: 43 is highly imbalanced (56.6%)Imbalance
PSD UPS is highly imbalanced (66.6%)Imbalance
역번호 has 25 (9.4%) missing valuesMissing
역 명 has 25 (9.4%) missing valuesMissing
합 계 has 8 (3.0%) missing valuesMissing
개집표기(턴스타일) has 4 (1.5%) missing valuesMissing
Unnamed: 47 has 265 (100.0%) missing valuesMissing
PSD 분전반 has 141 (53.2%) missing valuesMissing
Unnamed: 49 has 261 (98.5%) missing valuesMissing
PSD수량 has 141 (53.2%) missing valuesMissing
Unnamed: 51 has 259 (97.7%) missing valuesMissing
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 16:43:06.396127
Analysis finished2024-04-29 16:43:07.068959
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

호선
Categorical

Distinct14
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2호선
100 
3호선
66 
4호선
52 
1호선
20 
<NA>
12 
Other values (9)
15 

Length

Max length9
Median length3
Mean length3.1773585
Min length2

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row1호선
3rd row1호선
4th row1호선
5th row1호선

Common Values

ValueCountFrequency (%)
2호선 100
37.7%
3호선 66
24.9%
4호선 52
19.6%
1호선 20
 
7.5%
<NA> 12
 
4.5%
1호선 합계 2
 
0.8%
2호선 합계 2
 
0.8%
3호선 합계 2
 
0.8%
4호선 합계 2
 
0.8%
총 합계 2
 
0.8%
Other values (4) 5
 
1.9%

Length

2024-04-30T01:43:07.135531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2호선 102
36.7%
3호선 68
24.5%
4호선 54
19.4%
1호선 22
 
7.9%
na 12
 
4.3%
합계 11
 
4.0%
총 3
 
1.1%
호선 2
 
0.7%
1 1
 
0.4%
호선별 1
 
0.4%
Other values (2) 2
 
0.7%

Unnamed: 1
Categorical

Distinct13
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
동대문
52 
대림
48 
뚝섬
44 
일원
34 
옥수
32 
Other values (8)
55 

Length

Max length15
Median length2
Mean length2.554717
Min length2

Unique

Unique6 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
동대문 52
19.6%
대림 48
18.1%
뚝섬 44
16.6%
일원 34
12.8%
옥수 32
12.1%
신답 28
10.6%
<NA> 21
7.9%
신답전자관리소 합계 1
 
0.4%
뚝섬전자관리소 합계 1
 
0.4%
대림전자관리소 합계 1
 
0.4%
Other values (3) 3
 
1.1%

Length

2024-04-30T01:43:07.255896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동대문 52
19.2%
대림 48
17.7%
뚝섬 44
16.2%
일원 34
12.5%
옥수 32
11.8%
신답 28
10.3%
na 21
7.7%
합계 6
 
2.2%
신답전자관리소 1
 
0.4%
뚝섬전자관리소 1
 
0.4%
Other values (4) 4
 
1.5%

역번호
Text

MISSING 

Distinct120
Distinct (%)50.0%
Missing25
Missing (%)9.4%
Memory size2.2 KiB
2024-04-30T01:43:07.536837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters720
Distinct characters13
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

Unique0 ?
Unique (%)0.0%

Sample

1st row150
2nd row151
3rd row152
4th row153
5th row154
ValueCountFrequency (%)
150 2
 
0.8%
151 2
 
0.8%
338 2
 
0.8%
337 2
 
0.8%
336 2
 
0.8%
335 2
 
0.8%
334 2
 
0.8%
333 2
 
0.8%
332 2
 
0.8%
331 2
 
0.8%
Other values (110) 220
91.7%
2024-04-30T01:43:07.923410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 184
25.6%
3 140
19.4%
1 104
14.4%
4 102
14.2%
0 48
 
6.7%
5 44
 
6.1%
9 26
 
3.6%
6 22
 
3.1%
7 22
 
3.1%
8 22
 
3.1%
Other values (3) 6
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 714
99.2%
Other Letter 6
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 184
25.8%
3 140
19.6%
1 104
14.6%
4 102
14.3%
0 48
 
6.7%
5 44
 
6.2%
9 26
 
3.6%
6 22
 
3.1%
7 22
 
3.1%
8 22
 
3.1%
Other Letter
ValueCountFrequency (%)
역 2
33.3%
번 2
33.3%
호 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 714
99.2%
Hangul 6
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 184
25.8%
3 140
19.6%
1 104
14.6%
4 102
14.3%
0 48
 
6.7%
5 44
 
6.2%
9 26
 
3.6%
6 22
 
3.1%
7 22
 
3.1%
8 22
 
3.1%
Hangul
ValueCountFrequency (%)
역 2
33.3%
번 2
33.3%
호 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 714
99.2%
Hangul 6
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 184
25.8%
3 140
19.6%
1 104
14.6%
4 102
14.3%
0 48
 
6.7%
5 44
 
6.2%
9 26
 
3.6%
6 22
 
3.1%
7 22
 
3.1%
8 22
 
3.1%
Hangul
ValueCountFrequency (%)
역 2
33.3%
번 2
33.3%
호 2
33.3%

역 명
Text

MISSING 

Distinct141
Distinct (%)58.8%
Missing25
Missing (%)9.4%
Memory size2.2 KiB
2024-04-30T01:43:08.181380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length3.3875
Min length2

Characters and Unicode

Total characters813
Distinct characters147
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)17.9%

Sample

1st row서울역(1)
2nd row시청(1)
3rd row종각
4th row종로3가(1)
5th row종로5가
ValueCountFrequency (%)
동대문역사문화공원 3
 
1.2%
수 3
 
1.2%
대 3
 
1.2%
금 3
 
1.2%
원 2
 
0.8%
회현 2
 
0.8%
용답 2
 
0.8%
학여울 2
 
0.8%
고속터미널 2
 
0.8%
당고개 2
 
0.8%
Other values (143) 236
90.8%
2024-04-30T01:43:08.559087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 42
 
5.2%
40
 
4.9%
신 29
 
3.6%
) 29
 
3.6%
( 29
 
3.6%
동 26
 
3.2%
구 26
 
3.2%
문 17
 
2.1%
지 16
 
2.0%
입 14
 
1.7%
Other values (137) 545
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
82.9%
Decimal Number 41
 
5.0%
Space Separator 40
 
4.9%
Close Punctuation 29
 
3.6%
Open Punctuation 29
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 42
 
6.2%
신 29
 
4.3%
동 26
 
3.9%
구 26
 
3.9%
문 17
 
2.5%
지 16
 
2.4%
입 14
 
2.1%
가 14
 
2.1%
로 12
 
1.8%
청 12
 
1.8%
Other values (129) 466
69.1%
Decimal Number
ValueCountFrequency (%)
3 14
34.1%
1 10
24.4%
2 10
24.4%
4 5
 
12.2%
5 2
 
4.9%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 674
82.9%
Common 139
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 42
 
6.2%
신 29
 
4.3%
동 26
 
3.9%
구 26
 
3.9%
문 17
 
2.5%
지 16
 
2.4%
입 14
 
2.1%
가 14
 
2.1%
로 12
 
1.8%
청 12
 
1.8%
Other values (129) 466
69.1%
Common
ValueCountFrequency (%)
40
28.8%
) 29
20.9%
( 29
20.9%
3 14
 
10.1%
1 10
 
7.2%
2 10
 
7.2%
4 5
 
3.6%
5 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 674
82.9%
ASCII 139
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 42
 
6.2%
신 29
 
4.3%
동 26
 
3.9%
구 26
 
3.9%
문 17
 
2.5%
지 16
 
2.4%
입 14
 
2.1%
가 14
 
2.1%
로 12
 
1.8%
청 12
 
1.8%
Other values (129) 466
69.1%
ASCII
ValueCountFrequency (%)
40
28.8%
) 29
20.9%
( 29
20.9%
3 14
 
10.1%
1 10
 
7.2%
2 10
 
7.2%
4 5
 
3.6%
5 2
 
1.4%

합 계
Text

MISSING 

Distinct67
Distinct (%)26.1%
Missing8
Missing (%)3.0%
Memory size2.2 KiB
2024-04-30T01:43:08.768253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.1984436
Min length2

Characters and Unicode

Total characters565
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row117
2nd row100
3rd row86
4th row73
5th row61
ValueCountFrequency (%)
54 14
 
5.4%
31 12
 
4.6%
47 10
 
3.9%
65 10
 
3.9%
59 8
 
3.1%
57 8
 
3.1%
41 8
 
3.1%
45 8
 
3.1%
32 6
 
2.3%
69 6
 
2.3%
Other values (58) 169
65.3%
2024-04-30T01:43:09.105330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 91
16.1%
4 77
13.6%
7 69
12.2%
6 67
11.9%
1 62
11.0%
3 57
10.1%
2 45
8.0%
8 31
 
5.5%
0 25
 
4.4%
9 23
 
4.1%
Other values (4) 18
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 547
96.8%
Other Punctuation 12
 
2.1%
Other Letter 4
 
0.7%
Space Separator 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 91
16.6%
4 77
14.1%
7 69
12.6%
6 67
12.2%
1 62
11.3%
3 57
10.4%
2 45
8.2%
8 31
 
5.7%
0 25
 
4.6%
9 23
 
4.2%
Other Letter
ValueCountFrequency (%)
합 2
50.0%
계 2
50.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 561
99.3%
Hangul 4
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 91
16.2%
4 77
13.7%
7 69
12.3%
6 67
11.9%
1 62
11.1%
3 57
10.2%
2 45
8.0%
8 31
 
5.5%
0 25
 
4.5%
9 23
 
4.1%
Other values (2) 14
 
2.5%
Hangul
ValueCountFrequency (%)
합 2
50.0%
계 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 561
99.3%
Hangul 4
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 91
16.2%
4 77
13.7%
7 69
12.3%
6 67
11.9%
1 62
11.1%
3 57
10.2%
2 45
8.0%
8 31
 
5.5%
0 25
 
4.5%
9 23
 
4.1%
Other values (2) 14
 
2.5%
Hangul
ValueCountFrequency (%)
합 2
50.0%
계 2
50.0%

집계 시스템
Categorical

IMBALANCE 

Distinct13
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
238 
<NA>
 
8
26
 
3
119
 
3
10
 
2
Other values (8)
 
11

Length

Max length5
Median length1
Mean length1.1962264
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 238
89.8%
<NA> 8
 
3.0%
26 3
 
1.1%
119 3
 
1.1%
10 2
 
0.8%
50 2
 
0.8%
33 2
 
0.8%
집계시스템 2
 
0.8%
14 1
 
0.4%
22 1
 
0.4%
Other values (3) 3
 
1.1%

Length

2024-04-30T01:43:09.229770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 238
89.8%
na 8
 
3.0%
26 3
 
1.1%
119 3
 
1.1%
10 2
 
0.8%
50 2
 
0.8%
33 2
 
0.8%
집계시스템 2
 
0.8%
14 1
 
0.4%
22 1
 
0.4%
Other values (3) 3
 
1.1%

개집표기(턴스타일)
Text

MISSING 

Distinct54
Distinct (%)20.7%
Missing4
Missing (%)1.5%
Memory size2.2 KiB
2024-04-30T01:43:09.441087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.2796935
Min length1

Characters and Unicode

Total characters595
Distinct characters44
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

Unique7 ?
Unique (%)2.7%

Sample

1st row설치(소계)
2nd row46
3rd row0
4th row37
5th row34
ValueCountFrequency (%)
0 17
 
6.4%
34 12
 
4.5%
19 12
 
4.5%
23 10
 
3.7%
18 10
 
3.7%
20 10
 
3.7%
24 10
 
3.7%
15 8
 
3.0%
22 8
 
3.0%
21 8
 
3.0%
Other values (49) 162
60.7%
2024-04-30T01:43:09.738423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 102
17.1%
1 101
17.0%
3 61
10.3%
0 49
8.2%
4 46
7.7%
5 37
 
6.2%
8 30
 
5.0%
7 28
 
4.7%
9 27
 
4.5%
6 25
 
4.2%
Other values (34) 89
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 506
85.0%
Other Letter 61
 
10.3%
Open Punctuation 7
 
1.2%
Close Punctuation 7
 
1.2%
Other Punctuation 7
 
1.2%
Space Separator 6
 
1.0%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
턴 4
 
6.6%
일 4
 
6.6%
타 4
 
6.6%
스 4
 
6.6%
설 4
 
6.6%
치 4
 
6.6%
계 3
 
4.9%
소 3
 
4.9%
집 2
 
3.3%
대 2
 
3.3%
Other values (18) 27
44.3%
Decimal Number
ValueCountFrequency (%)
2 102
20.2%
1 101
20.0%
3 61
12.1%
0 49
9.7%
4 46
9.1%
5 37
 
7.3%
8 30
 
5.9%
7 28
 
5.5%
9 27
 
5.3%
6 25
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
: 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 534
89.7%
Hangul 61
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
턴 4
 
6.6%
일 4
 
6.6%
타 4
 
6.6%
스 4
 
6.6%
설 4
 
6.6%
치 4
 
6.6%
계 3
 
4.9%
소 3
 
4.9%
집 2
 
3.3%
대 2
 
3.3%
Other values (18) 27
44.3%
Common
ValueCountFrequency (%)
2 102
19.1%
1 101
18.9%
3 61
11.4%
0 49
9.2%
4 46
8.6%
5 37
 
6.9%
8 30
 
5.6%
7 28
 
5.2%
9 27
 
5.1%
6 25
 
4.7%
Other values (6) 28
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 534
89.7%
Hangul 61
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 102
19.1%
1 101
18.9%
3 61
11.4%
0 49
9.2%
4 46
8.6%
5 37
 
6.9%
8 30
 
5.6%
7 28
 
5.2%
9 27
 
5.1%
6 25
 
4.7%
Other values (6) 28
 
5.2%
Hangul
ValueCountFrequency (%)
턴 4
 
6.6%
일 4
 
6.6%
타 4
 
6.6%
스 4
 
6.6%
설 4
 
6.6%
치 4
 
6.6%
계 3
 
4.9%
소 3
 
4.9%
집 2
 
3.3%
대 2
 
3.3%
Other values (18) 27
44.3%

Unnamed: 7
Categorical

Distinct22
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
4
70 
2
40 
5
32 
3
22 
6
16 
Other values (17)
85 

Length

Max length4
Median length1
Mean length1.2301887
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st rowEN
2nd row10
3rd row<NA>
4th row6
5th row5

Common Values

ValueCountFrequency (%)
4 70
26.4%
2 40
15.1%
5 32
12.1%
3 22
 
8.3%
6 16
 
6.0%
0 16
 
6.0%
1 14
 
5.3%
<NA> 9
 
3.4%
9 8
 
3.0%
7 8
 
3.0%
Other values (12) 30
11.3%

Length

2024-04-30T01:43:09.848572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 70
26.4%
2 40
15.1%
5 32
12.1%
3 22
 
8.3%
6 16
 
6.0%
0 16
 
6.0%
1 14
 
5.3%
na 9
 
3.4%
9 8
 
3.0%
7 8
 
3.0%
Other values (12) 30
11.3%

Unnamed: 8
Categorical

IMBALANCE 

Distinct9
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
229 
1
 
10
<NA>
 
9
3
 
7
EX
 
3
Other values (4)
 
7

Length

Max length4
Median length1
Mean length1.1245283
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 229
86.4%
1 10
 
3.8%
<NA> 9
 
3.4%
3 7
 
2.6%
EX 3
 
1.1%
11 3
 
1.1%
8 2
 
0.8%
2 1
 
0.4%
6 1
 
0.4%

Length

2024-04-30T01:43:09.955930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:10.055852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 229
86.4%
1 10
 
3.8%
na 9
 
3.4%
3 7
 
2.6%
ex 3
 
1.1%
11 3
 
1.1%
8 2
 
0.8%
2 1
 
0.4%
6 1
 
0.4%

Unnamed: 9
Categorical

Distinct46
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
15
 
18
0
 
16
13
 
14
12
 
14
20
 
12
Other values (41)
191 

Length

Max length5
Median length2
Mean length1.909434
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st rowREV
2nd row30
3rd row<NA>
4th row27
5th row24

Common Values

ValueCountFrequency (%)
15 18
 
6.8%
0 16
 
6.0%
13 14
 
5.3%
12 14
 
5.3%
20 12
 
4.5%
8 12
 
4.5%
7 12
 
4.5%
22 12
 
4.5%
11 10
 
3.8%
16 10
 
3.8%
Other values (36) 135
50.9%

Length

2024-04-30T01:43:10.177293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
15 18
 
6.8%
0 16
 
6.0%
13 14
 
5.3%
12 14
 
5.3%
20 12
 
4.5%
8 12
 
4.5%
7 12
 
4.5%
22 12
 
4.5%
11 10
 
3.8%
16 10
 
3.8%
Other values (36) 135
50.9%

Unnamed: 10
Categorical

Distinct20
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
4
64 
2
60 
3
38 
5
22 
1
22 
Other values (15)
59 

Length

Max length4
Median length1
Mean length1.1962264
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st rowFL
2nd row6
3rd row<NA>
4th row4
5th row5

Common Values

ValueCountFrequency (%)
4 64
24.2%
2 60
22.6%
3 38
14.3%
5 22
 
8.3%
1 22
 
8.3%
0 16
 
6.0%
6 10
 
3.8%
<NA> 9
 
3.4%
7 4
 
1.5%
FL 3
 
1.1%
Other values (10) 17
 
6.4%

Length

2024-04-30T01:43:10.289797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 64
24.2%
2 60
22.6%
3 38
14.3%
5 22
 
8.3%
1 22
 
8.3%
0 16
 
6.0%
6 10
 
3.8%
na 9
 
3.4%
7 4
 
1.5%
81 3
 
1.1%
Other values (10) 17
 
6.4%

Unnamed: 11
Categorical

IMBALANCE 

Distinct9
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
123 
<NA>
122 
3
 
5
철거
 
3
49
 
3
Other values (4)
 
9

Length

Max length5
Median length4
Mean length2.4679245
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 123
46.4%
<NA> 122
46.0%
3 5
 
1.9%
철거 3
 
1.1%
49 3
 
1.1%
57 3
 
1.1%
109 3
 
1.1%
106 2
 
0.8%
2,678 1
 
0.4%

Length

2024-04-30T01:43:10.402869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:10.516850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 123
46.4%
na 122
46.0%
3 5
 
1.9%
철거 3
 
1.1%
49 3
 
1.1%
57 3
 
1.1%
109 3
 
1.1%
106 2
 
0.8%
2,678 1
 
0.4%

슬림게이트
Categorical

Distinct34
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
176 
7
 
8
11
 
7
28
 
6
<NA>
 
5
Other values (29)
63 

Length

Max length5
Median length1
Mean length1.3698113
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row소계
2nd row16
3rd row64
4th row11
5th row0

Common Values

ValueCountFrequency (%)
0 176
66.4%
7 8
 
3.0%
11 7
 
2.6%
28 6
 
2.3%
<NA> 5
 
1.9%
16 4
 
1.5%
4 4
 
1.5%
631 3
 
1.1%
102 3
 
1.1%
118 3
 
1.1%
Other values (24) 46
 
17.4%

Length

2024-04-30T01:43:10.632506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 176
66.4%
7 8
 
3.0%
11 7
 
2.6%
28 6
 
2.3%
na 5
 
1.9%
16 4
 
1.5%
4 4
 
1.5%
118 3
 
1.1%
소계 3
 
1.1%
102 3
 
1.1%
Other values (24) 46
 
17.4%

Unnamed: 13
Categorical

Distinct15
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
95 
0
88 
1
30 
2
19 
4
10 
Other values (10)
23 

Length

Max length4
Median length1
Mean length2.1245283
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row1형
2nd row1
3rd row4
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
35.8%
0 88
33.2%
1 30
 
11.3%
2 19
 
7.2%
4 10
 
3.8%
1형 3
 
1.1%
9 3
 
1.1%
6 3
 
1.1%
13 3
 
1.1%
64 3
 
1.1%
Other values (5) 8
 
3.0%

Length

2024-04-30T01:43:10.752592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 95
35.8%
0 88
33.2%
1 30
 
11.3%
2 19
 
7.2%
4 10
 
3.8%
1형 3
 
1.1%
9 3
 
1.1%
6 3
 
1.1%
13 3
 
1.1%
64 3
 
1.1%
Other values (5) 8
 
3.0%

Unnamed: 14
Categorical

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
138 
0
114 
6
 
6
2형
 
3
4
 
2

Length

Max length4
Median length4
Mean length2.5735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
52.1%
0 114
43.0%
6 6
 
2.3%
2형 3
 
1.1%
4 2
 
0.8%
2 2
 
0.8%

Length

2024-04-30T01:43:10.862299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:10.966383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
52.1%
0 114
43.0%
6 6
 
2.3%
2형 3
 
1.1%
4 2
 
0.8%
2 2
 
0.8%

Unnamed: 15
Categorical

Distinct29
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
95 
0
88 
5
 
8
7
 
7
14
 
6
Other values (24)
61 

Length

Max length4
Median length3
Mean length2.3018868
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row3형
2nd row14
3rd row56
4th row7
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
35.8%
0 88
33.2%
5 8
 
3.0%
7 7
 
2.6%
14 6
 
2.3%
28 6
 
2.3%
16 4
 
1.5%
20 4
 
1.5%
6 4
 
1.5%
2 4
 
1.5%
Other values (19) 39
14.7%

Length

2024-04-30T01:43:11.081708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 95
35.8%
0 88
33.2%
5 8
 
3.0%
7 7
 
2.6%
14 6
 
2.3%
28 6
 
2.3%
16 4
 
1.5%
20 4
 
1.5%
6 4
 
1.5%
2 4
 
1.5%
Other values (19) 39
14.7%

Unnamed: 16
Categorical

Distinct15
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
95 
0
88 
1
30 
2
21 
4
 
8
Other values (10)
23 

Length

Max length4
Median length1
Mean length2.1245283
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row5형
2nd row1
3rd row4
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
35.8%
0 88
33.2%
1 30
 
11.3%
2 21
 
7.9%
4 8
 
3.0%
5형 3
 
1.1%
9 3
 
1.1%
6 3
 
1.1%
13 3
 
1.1%
62 3
 
1.1%
Other values (5) 8
 
3.0%

Length

2024-04-30T01:43:11.194968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 95
35.8%
0 88
33.2%
1 30
 
11.3%
2 21
 
7.9%
4 8
 
3.0%
5형 3
 
1.1%
9 3
 
1.1%
6 3
 
1.1%
13 3
 
1.1%
62 3
 
1.1%
Other values (5) 8
 
3.0%

장애인게이트
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
247 
4
 
8
<NA>
 
5
설치
 
3
장애인게이트
 
2

Length

Max length6
Median length1
Mean length1.1056604
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row설치
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 247
93.2%
4 8
 
3.0%
<NA> 5
 
1.9%
설치 3
 
1.1%
장애인게이트 2
 
0.8%

Length

2024-04-30T01:43:11.306480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:11.400282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 247
93.2%
4 8
 
3.0%
na 5
 
1.9%
설치 3
 
1.1%
장애인게이트 2
 
0.8%

Unnamed: 18
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
129 
<NA>
125 
6
 
8
철거
 
3

Length

Max length4
Median length1
Mean length2.4264151
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 129
48.7%
<NA> 125
47.2%
6 8
 
3.0%
철거 3
 
1.1%

Length

2024-04-30T01:43:11.503551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:11.607826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 129
48.7%
na 125
47.2%
6 8
 
3.0%
철거 3
 
1.1%

스피드게이트
Categorical

Distinct20
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
90 
4
58 
3
50 
1
20 
5
10 
Other values (15)
37 

Length

Max length6
Median length1
Mean length1.1886792
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row설치
2nd row5
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
2 90
34.0%
4 58
21.9%
3 50
18.9%
1 20
 
7.5%
5 10
 
3.8%
6 8
 
3.0%
<NA> 5
 
1.9%
설치 3
 
1.1%
72 3
 
1.1%
340 3
 
1.1%
Other values (10) 15
 
5.7%

Length

2024-04-30T01:43:11.712193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 90
34.0%
4 58
21.9%
3 50
18.9%
1 20
 
7.5%
5 10
 
3.8%
6 8
 
3.0%
na 5
 
1.9%
설치 3
 
1.1%
72 3
 
1.1%
340 3
 
1.1%
Other values (10) 15
 
5.7%

Unnamed: 20
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
129 
<NA>
125 
1
 
8
철거
 
3

Length

Max length4
Median length1
Mean length2.4264151
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 129
48.7%
<NA> 125
47.2%
1 8
 
3.0%
철거 3
 
1.1%

Length

2024-04-30T01:43:11.839405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:12.150837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 129
48.7%
na 125
47.2%
1 8
 
3.0%
철거 3
 
1.1%

발매기
Categorical

Distinct25
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
4
94 
5
40 
6
26 
2
22 
7
14 
Other values (20)
69 

Length

Max length4
Median length1
Mean length1.2754717
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row16
3rd row8
4th row7
5th row9

Common Values

ValueCountFrequency (%)
4 94
35.5%
5 40
15.1%
6 26
 
9.8%
2 22
 
8.3%
7 14
 
5.3%
3 12
 
4.5%
<NA> 8
 
3.0%
8 8
 
3.0%
10 6
 
2.3%
9 6
 
2.3%
Other values (15) 29
 
10.9%

Length

2024-04-30T01:43:12.258714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 94
35.5%
5 40
15.1%
6 26
 
9.8%
2 22
 
8.3%
7 14
 
5.3%
3 12
 
4.5%
na 8
 
3.0%
8 8
 
3.0%
10 6
 
2.3%
9 6
 
2.3%
Other values (15) 29
 
10.9%

환급기
Categorical

Distinct19
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
4
84 
2
72 
3
32 
5
26 
6
14 
Other values (14)
37 

Length

Max length4
Median length1
Mean length1.2075472
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row8
3rd row4
4th row5
5th row6

Common Values

ValueCountFrequency (%)
4 84
31.7%
2 72
27.2%
3 32
 
12.1%
5 26
 
9.8%
6 14
 
5.3%
<NA> 8
 
3.0%
8 6
 
2.3%
94 3
 
1.1%
440 3
 
1.1%
100 2
 
0.8%
Other values (9) 15
 
5.7%

Length

2024-04-30T01:43:12.378472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 84
31.7%
2 72
27.2%
3 32
 
12.1%
5 26
 
9.8%
6 14
 
5.3%
na 8
 
3.0%
8 6
 
2.3%
94 3
 
1.1%
440 3
 
1.1%
195 2
 
0.8%
Other values (9) 15
 
5.7%

휴대용정산기
Categorical

Distinct16
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
122 
2
94 
1
16 
<NA>
 
8
4
 
4
Other values (11)
21 

Length

Max length6
Median length1
Mean length1.2113208
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 122
46.0%
2 94
35.5%
1 16
 
6.0%
<NA> 8
 
3.0%
4 4
 
1.5%
67 3
 
1.1%
293 3
 
1.1%
31 2
 
0.8%
123 2
 
0.8%
0 2
 
0.8%
Other values (6) 9
 
3.4%

Length

2024-04-30T01:43:12.485560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3 122
46.0%
2 94
35.5%
1 16
 
6.0%
na 8
 
3.0%
4 4
 
1.5%
67 3
 
1.1%
293 3
 
1.1%
31 2
 
0.8%
123 2
 
0.8%
0 2
 
0.8%
Other values (6) 9
 
3.4%

무인 정산기
Categorical

Distinct18
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
90 
4
66 
3
52 
1
20 
<NA>
 
8
Other values (13)
29 

Length

Max length6
Median length1
Mean length1.2113208
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row5
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
2 90
34.0%
4 66
24.9%
3 52
19.6%
1 20
 
7.5%
<NA> 8
 
3.0%
5 8
 
3.0%
336 3
 
1.1%
74 3
 
1.1%
6 2
 
0.8%
37 2
 
0.8%
Other values (8) 11
 
4.2%

Length

2024-04-30T01:43:12.598645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 90
33.7%
4 66
24.7%
3 52
19.5%
1 20
 
7.5%
na 8
 
3.0%
5 8
 
3.0%
336 3
 
1.1%
74 3
 
1.1%
152 2
 
0.7%
정산기 2
 
0.7%
Other values (9) 13
 
4.9%

유인충전기
Categorical

IMBALANCE 

Distinct18
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
184 
3
34 
4
 
12
<NA>
 
5
1
 
4
Other values (13)
26 

Length

Max length5
Median length1
Mean length1.1811321
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row설치
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 184
69.4%
3 34
 
12.8%
4 12
 
4.5%
<NA> 5
 
1.9%
1 4
 
1.5%
58 4
 
1.5%
설치 3
 
1.1%
267 3
 
1.1%
0 2
 
0.8%
20 2
 
0.8%
Other values (8) 12
 
4.5%

Length

2024-04-30T01:43:12.710807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 184
69.4%
3 34
 
12.8%
4 12
 
4.5%
na 5
 
1.9%
1 4
 
1.5%
58 4
 
1.5%
설치 3
 
1.1%
267 3
 
1.1%
71 2
 
0.8%
유인충전기 2
 
0.8%
Other values (8) 12
 
4.5%

Unnamed: 26
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
129 
<NA>
125 
3
 
8
관리소보관
 
2
관리소 보관
 
1

Length

Max length6
Median length1
Mean length2.4641509
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 129
48.7%
<NA> 125
47.2%
3 8
 
3.0%
관리소보관 2
 
0.8%
관리소 보관 1
 
0.4%

Length

2024-04-30T01:43:12.843456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:12.937002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 129
48.5%
na 125
47.0%
3 8
 
3.0%
관리소보관 2
 
0.8%
관리소 1
 
0.4%
보관 1
 
0.4%

판매기
Categorical

Distinct15
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
130 
1
84 
3
18 
<NA>
 
8
0
 
6
Other values (10)
19 

Length

Max length4
Median length1
Mean length1.1811321
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
2 130
49.1%
1 84
31.7%
3 18
 
6.8%
<NA> 8
 
3.0%
0 6
 
2.3%
43 3
 
1.1%
44 3
 
1.1%
199 3
 
1.1%
18 2
 
0.8%
94 2
 
0.8%
Other values (5) 6
 
2.3%

Length

2024-04-30T01:43:13.041041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 130
49.1%
1 84
31.7%
3 18
 
6.8%
na 8
 
3.0%
0 6
 
2.3%
43 3
 
1.1%
44 3
 
1.1%
199 3
 
1.1%
18 2
 
0.8%
94 2
 
0.8%
Other values (5) 6
 
2.3%

발권기
Categorical

Distinct9
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
154 
<NA>
58 
1
35 
3
 
6
4
 
4
Other values (4)
 
8

Length

Max length4
Median length1
Mean length1.6830189
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 154
58.1%
<NA> 58
 
21.9%
1 35
 
13.2%
3 6
 
2.3%
4 4
 
1.5%
17 3
 
1.1%
7 2
 
0.8%
발권기 2
 
0.8%
2 1
 
0.4%

Length

2024-04-30T01:43:13.161931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:13.267299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 154
58.1%
na 58
 
21.9%
1 35
 
13.2%
3 6
 
2.3%
4 4
 
1.5%
17 3
 
1.1%
7 2
 
0.8%
발권기 2
 
0.8%
2 1
 
0.4%

개집표기 통제시스템
Categorical

IMBALANCE 

Distinct13
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
238 
<NA>
 
8
26
 
3
119
 
3
10
 
2
Other values (8)
 
11

Length

Max length10
Median length1
Mean length1.2339623
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 238
89.8%
<NA> 8
 
3.0%
26 3
 
1.1%
119 3
 
1.1%
10 2
 
0.8%
50 2
 
0.8%
33 2
 
0.8%
개집표기 통제시스템 2
 
0.8%
14 1
 
0.4%
22 1
 
0.4%
Other values (3) 3
 
1.1%

Length

2024-04-30T01:43:13.387568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 238
89.1%
na 8
 
3.0%
26 3
 
1.1%
119 3
 
1.1%
10 2
 
0.7%
50 2
 
0.7%
33 2
 
0.7%
개집표기 2
 
0.7%
통제시스템 2
 
0.7%
14 1
 
0.4%
Other values (4) 4
 
1.5%

MWS
Categorical

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
121 
0
115 
1
15 
2
 
7
7
 
3
Other values (2)
 
4

Length

Max length4
Median length1
Mean length2.3849057
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> 121
45.7%
0 115
43.4%
1 15
 
5.7%
2 7
 
2.6%
7 3
 
1.1%
3 2
 
0.8%
MWS 2
 
0.8%

Length

2024-04-30T01:43:13.497789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:13.605173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
45.7%
0 115
43.4%
1 15
 
5.7%
2 7
 
2.6%
7 3
 
1.1%
3 2
 
0.8%
mws 2
 
0.8%

MSC
Categorical

Distinct9
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
112 
0
107 
1
28 
3
 
6
설치
 
3
Other values (4)
 
9

Length

Max length4
Median length1
Mean length2.3056604
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
42.3%
0 107
40.4%
1 28
 
10.6%
3 6
 
2.3%
설치 3
 
1.1%
12 3
 
1.1%
5 2
 
0.8%
MSC 2
 
0.8%
2 2
 
0.8%

Length

2024-04-30T01:43:13.741998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:13.869610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
42.3%
0 107
40.4%
1 28
 
10.6%
3 6
 
2.3%
설치 3
 
1.1%
12 3
 
1.1%
5 2
 
0.8%
msc 2
 
0.8%
2 2
 
0.8%

Unnamed: 32
Categorical

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
124 
<NA>
123 
1
 
9
2
 
3
3
 
3
Other values (2)
 
3

Length

Max length6
Median length1
Mean length2.4415094
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 124
46.8%
<NA> 123
46.4%
1 9
 
3.4%
2 3
 
1.1%
3 3
 
1.1%
관리소보관 2
 
0.8%
관리소 보관 1
 
0.4%

Length

2024-04-30T01:43:14.005347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:14.120106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 124
46.6%
na 123
46.2%
1 9
 
3.4%
2 3
 
1.1%
3 3
 
1.1%
관리소보관 2
 
0.8%
관리소 1
 
0.4%
보관 1
 
0.4%

RMS
Categorical

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
121 
0
115 
1
20 
6
 
3
3
 
2
Other values (2)
 
4

Length

Max length4
Median length1
Mean length2.3849057
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> 121
45.7%
0 115
43.4%
1 20
 
7.5%
6 3
 
1.1%
3 2
 
0.8%
2 2
 
0.8%
RMS 2
 
0.8%

Length

2024-04-30T01:43:14.247605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:14.368254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
45.7%
0 115
43.4%
1 20
 
7.5%
6 3
 
1.1%
3 2
 
0.8%
2 2
 
0.8%
rms 2
 
0.8%

카 메 라
Categorical

Distinct19
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
92 
4
58 
3
50 
1
20 
6
10 
Other values (14)
35 

Length

Max length7
Median length1
Mean length1.1962264
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row소계
2nd row5
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
2 92
34.7%
4 58
21.9%
3 50
18.9%
1 20
 
7.5%
6 10
 
3.8%
5 8
 
3.0%
<NA> 5
 
1.9%
343 3
 
1.1%
76 3
 
1.1%
소계 3
 
1.1%
Other values (9) 13
 
4.9%

Length

2024-04-30T01:43:14.474450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 92
34.2%
4 58
21.6%
3 50
18.6%
1 20
 
7.4%
6 10
 
3.7%
5 8
 
3.0%
na 5
 
1.9%
343 3
 
1.1%
76 3
 
1.1%
소계 3
 
1.1%
Other values (11) 17
 
6.3%

Unnamed: 35
Categorical

Distinct15
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
88 
0
83 
2
37 
3
14 
4
12 
Other values (10)
31 

Length

Max length6
Median length1
Mean length2.1018868
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row대합(일반)
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 88
33.2%
0 83
31.3%
2 37
14.0%
3 14
 
5.3%
4 12
 
4.5%
1 12
 
4.5%
대합(일반) 3
 
1.1%
24 3
 
1.1%
21 3
 
1.1%
93 3
 
1.1%
Other values (5) 7
 
2.6%

Length

2024-04-30T01:43:14.594806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 88
33.2%
0 83
31.3%
2 37
14.0%
3 14
 
5.3%
4 12
 
4.5%
1 12
 
4.5%
대합(일반 3
 
1.1%
24 3
 
1.1%
21 3
 
1.1%
93 3
 
1.1%
Other values (5) 7
 
2.6%

Unnamed: 36
Categorical

Distinct19
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
66 
4
42 
<NA>
38 
0
31 
3
28 
Other values (14)
60 

Length

Max length5
Median length1
Mean length1.5584906
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row대합(돔)
2nd row5
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
2 66
24.9%
4 42
15.8%
<NA> 38
14.3%
0 31
11.7%
3 28
10.6%
1 24
 
9.1%
5 10
 
3.8%
6 6
 
2.3%
247 3
 
1.1%
55 3
 
1.1%
Other values (9) 14
 
5.3%

Length

2024-04-30T01:43:14.708984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 66
24.9%
4 42
15.8%
na 38
14.3%
0 31
11.7%
3 28
10.6%
1 24
 
9.1%
5 10
 
3.8%
6 6
 
2.3%
대합(돔 3
 
1.1%
55 3
 
1.1%
Other values (9) 14
 
5.3%

Unnamed: 37
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
127 
<NA>
124 
1
 
6
2
 
5
승강(일반)
 
3

Length

Max length6
Median length1
Mean length2.4603774
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승강(일반)
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 127
47.9%
<NA> 124
46.8%
1 6
 
2.3%
2 5
 
1.9%
승강(일반) 3
 
1.1%

Length

2024-04-30T01:43:14.855278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:14.959595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 127
47.9%
na 124
46.8%
1 6
 
2.3%
2 5
 
1.9%
승강(일반 3
 
1.1%

Unnamed: 38
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
129 
<NA>
125 
1
 
8
승강(돔)
 
3

Length

Max length5
Median length1
Mean length2.4603774
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승강(돔)
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 129
48.7%
<NA> 125
47.2%
1 8
 
3.0%
승강(돔) 3
 
1.1%

Length

2024-04-30T01:43:15.071211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:15.174146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 129
48.7%
na 125
47.2%
1 8
 
3.0%
승강(돔 3
 
1.1%

통화콘솔
Categorical

Distinct18
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
96 
2
68 
<NA>
30 
0
25 
3
22 
Other values (13)
24 

Length

Max length4
Median length1
Mean length1.4490566
Min length1

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row유선
2nd row3
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 96
36.2%
2 68
25.7%
<NA> 30
 
11.3%
0 25
 
9.4%
3 22
 
8.3%
유선 3
 
1.1%
153 3
 
1.1%
30 3
 
1.1%
통화콘솔 2
 
0.8%
4 2
 
0.8%
Other values (8) 11
 
4.2%

Length

2024-04-30T01:43:15.278090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 96
36.2%
2 68
25.7%
na 30
 
11.3%
0 25
 
9.4%
3 22
 
8.3%
유선 3
 
1.1%
153 3
 
1.1%
30 3
 
1.1%
18 2
 
0.8%
45 2
 
0.8%
Other values (8) 11
 
4.2%

Unnamed: 40
Categorical

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
101 
0
94 
1
50 
7
 
4
무선
 
3
Other values (5)
13 

Length

Max length4
Median length1
Mean length2.1735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
38.1%
0 94
35.5%
1 50
18.9%
7 4
 
1.5%
무선 3
 
1.1%
2 3
 
1.1%
25 3
 
1.1%
3 3
 
1.1%
10 2
 
0.8%
6 2
 
0.8%

Length

2024-04-30T01:43:15.400702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:15.497877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
38.1%
0 94
35.5%
1 50
18.9%
7 4
 
1.5%
무선 3
 
1.1%
2 3
 
1.1%
25 3
 
1.1%
3 3
 
1.1%
10 2
 
0.8%
6 2
 
0.8%

Unnamed: 41
Categorical

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
127 
<NA>
124 
3
 
5
철거
 
3
2
 
3

Length

Max length4
Median length1
Mean length2.4150943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 127
47.9%
<NA> 124
46.8%
3 5
 
1.9%
철거 3
 
1.1%
2 3
 
1.1%
1 3
 
1.1%

Length

2024-04-30T01:43:15.623698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:43:15.716654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 127
47.9%
na 124
46.8%
3 5
 
1.9%
철거 3
 
1.1%
2 3
 
1.1%
1 3
 
1.1%

AFC UPS
Categorical

IMBALANCE 

Distinct13
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
162 
0
76 
<NA>
 
5
집계
 
3
19
 
3
Other values (8)
 
16

Length

Max length7
Median length1
Mean length1.1698113
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row집계
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 162
61.1%
0 76
28.7%
<NA> 5
 
1.9%
집계 3
 
1.1%
19 3
 
1.1%
81 3
 
1.1%
9 2
 
0.8%
27 2
 
0.8%
26 2
 
0.8%
AFC UPS 2
 
0.8%
Other values (3) 5
 
1.9%

Length

2024-04-30T01:43:15.838778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 162
60.7%
0 76
28.5%
na 5
 
1.9%
집계 3
 
1.1%
19 3
 
1.1%
81 3
 
1.1%
9 2
 
0.7%
27 2
 
0.7%
26 2
 
0.7%
afc 2
 
0.7%
Other values (4) 7
 
2.6%

Unnamed: 43
Categorical

IMBALANCE 

Distinct12
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
162 
1
78 
<NA>
 
7
7
 
5
38
 
3
Other values (7)
 
10

Length

Max length4
Median length1
Mean length1.1283019
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st rowUPS실
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 162
61.1%
1 78
29.4%
<NA> 7
 
2.6%
7 5
 
1.9%
38 3
 
1.1%
23 2
 
0.8%
AFC 2
 
0.8%
3 2
 
0.8%
UPS실 1
 
0.4%
8 1
 
0.4%
Other values (2) 2
 
0.8%

Length

2024-04-30T01:43:15.950190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 162
61.1%
1 78
29.4%
na 7
 
2.6%
7 5
 
1.9%
38 3
 
1.1%
23 2
 
0.8%
afc 2
 
0.8%
3 2
 
0.8%
ups실 1
 
0.4%
8 1
 
0.4%
Other values (2) 2
 
0.8%

전자 분전반
Categorical

Distinct16
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
88 
2
76 
1
36 
4
32 
<NA>
 
8
Other values (11)
25 

Length

Max length6
Median length1
Mean length1.2113208
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row4
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 88
33.2%
2 76
28.7%
1 36
13.6%
4 32
 
12.1%
<NA> 8
 
3.0%
5 6
 
2.3%
68 3
 
1.1%
305 3
 
1.1%
28 2
 
0.8%
134 2
 
0.8%
Other values (6) 9
 
3.4%

Length

2024-04-30T01:43:16.061773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3 88
33.0%
2 76
28.5%
1 36
13.5%
4 32
 
12.0%
na 8
 
3.0%
5 6
 
2.2%
68 3
 
1.1%
305 3
 
1.1%
전자 2
 
0.7%
39 2
 
0.7%
Other values (7) 11
 
4.1%

무인충전기 마감케이스
Categorical

Distinct12
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
92 
0
84 
1
49 
2
22 
4
 
3
Other values (7)
15 

Length

Max length11
Median length1
Mean length2.1433962
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
34.7%
0 84
31.7%
1 49
18.5%
2 22
 
8.3%
4 3
 
1.1%
9 3
 
1.1%
46 3
 
1.1%
26 2
 
0.8%
7 2
 
0.8%
무인충전기 마감케이스 2
 
0.8%
Other values (2) 3
 
1.1%

Length

2024-04-30T01:43:16.154589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 92
34.5%
0 84
31.5%
1 49
18.4%
2 22
 
8.2%
4 3
 
1.1%
9 3
 
1.1%
46 3
 
1.1%
26 2
 
0.7%
7 2
 
0.7%
무인충전기 2
 
0.7%
Other values (3) 5
 
1.9%

PSD UPS
Categorical

IMBALANCE 

Distinct13
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
212 
2
26 
<NA>
 
8
26
 
4
132
 
3
Other values (8)
 
12

Length

Max length7
Median length1
Mean length1.2113208
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row<NA>
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 212
80.0%
2 26
 
9.8%
<NA> 8
 
3.0%
26 4
 
1.5%
132 3
 
1.1%
11 2
 
0.8%
57 2
 
0.8%
38 2
 
0.8%
PSD UPS 2
 
0.8%
15 1
 
0.4%
Other values (3) 3
 
1.1%

Length

2024-04-30T01:43:16.268757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 212
79.4%
2 26
 
9.7%
na 8
 
3.0%
26 4
 
1.5%
132 3
 
1.1%
11 2
 
0.7%
57 2
 
0.7%
38 2
 
0.7%
psd 2
 
0.7%
ups 2
 
0.7%
Other values (4) 4
 
1.5%

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing265
Missing (%)100.0%
Memory size2.5 KiB

PSD 분전반
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)6.5%
Missing141
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean5.9274194
Minimum2
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-30T01:43:16.378106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile3.85
Maximum246
Range244
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.784329
Coefficient of variation (CV)4.1813018
Kurtosis74.718977
Mean5.9274194
Median Absolute Deviation (MAD)0
Skewness8.2249944
Sum735
Variance614.26298
MonotonicityNot monotonic
2024-04-30T01:43:16.477400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 116
43.8%
4 2
 
0.8%
20 1
 
0.4%
105 1
 
0.4%
3 1
 
0.4%
69 1
 
0.4%
52 1
 
0.4%
246 1
 
0.4%
(Missing) 141
53.2%
ValueCountFrequency (%)
2 116
43.8%
3 1
 
0.4%
4 2
 
0.8%
20 1
 
0.4%
52 1
 
0.4%
69 1
 
0.4%
105 1
 
0.4%
246 1
 
0.4%
ValueCountFrequency (%)
246 1
 
0.4%
105 1
 
0.4%
69 1
 
0.4%
52 1
 
0.4%
20 1
 
0.4%
4 2
 
0.8%
3 1
 
0.4%
2 116
43.8%

Unnamed: 49
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing261
Missing (%)98.5%
Memory size2.2 KiB
2024-04-30T01:43:16.591290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4.5
Mean length4.5
Min length1

Characters and Unicode

Total characters18
Distinct characters13
Distinct categories4 ?
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 (%)100.0%

Sample

1st row까치산 PSD분
2nd row1
3rd row충무로 PSD분
4th row2
ValueCountFrequency (%)
psd분 2
33.3%
까치산 1
16.7%
1 1
16.7%
충무로 1
16.7%
2 1
16.7%
2024-04-30T01:43:16.816135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
11.1%
P 2
11.1%
S 2
11.1%
D 2
11.1%
분 2
11.1%
까 1
 
5.6%
치 1
 
5.6%
산 1
 
5.6%
1 1
 
5.6%
충 1
 
5.6%
Other values (3) 3
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
44.4%
Uppercase Letter 6
33.3%
Control 2
 
11.1%
Decimal Number 2
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
분 2
25.0%
까 1
12.5%
치 1
12.5%
산 1
12.5%
충 1
12.5%
무 1
12.5%
로 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
P 2
33.3%
S 2
33.3%
D 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
44.4%
Latin 6
33.3%
Common 4
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
분 2
25.0%
까 1
12.5%
치 1
12.5%
산 1
12.5%
충 1
12.5%
무 1
12.5%
로 1
12.5%
Common
ValueCountFrequency (%)
2
50.0%
1 1
25.0%
2 1
25.0%
Latin
ValueCountFrequency (%)
P 2
33.3%
S 2
33.3%
D 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
55.6%
Hangul 8
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
20.0%
P 2
20.0%
S 2
20.0%
D 2
20.0%
1 1
10.0%
2 1
10.0%
Hangul
ValueCountFrequency (%)
분 2
25.0%
까 1
12.5%
치 1
12.5%
산 1
12.5%
충 1
12.5%
무 1
12.5%
로 1
12.5%

PSD수량
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)7.3%
Missing141
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean5.7822581
Minimum1
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-30T01:43:16.933539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum240
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.17099
Coefficient of variation (CV)4.1801991
Kurtosis74.74981
Mean5.7822581
Median Absolute Deviation (MAD)0
Skewness8.2231136
Sum717
Variance584.23676
MonotonicityNot monotonic
2024-04-30T01:43:17.033676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 111
41.9%
1 5
 
1.9%
3 2
 
0.8%
19 1
 
0.4%
4 1
 
0.4%
101 1
 
0.4%
69 1
 
0.4%
51 1
 
0.4%
240 1
 
0.4%
(Missing) 141
53.2%
ValueCountFrequency (%)
1 5
 
1.9%
2 111
41.9%
3 2
 
0.8%
4 1
 
0.4%
19 1
 
0.4%
51 1
 
0.4%
69 1
 
0.4%
101 1
 
0.4%
240 1
 
0.4%
ValueCountFrequency (%)
240 1
 
0.4%
101 1
 
0.4%
69 1
 
0.4%
51 1
 
0.4%
19 1
 
0.4%
4 1
 
0.4%
3 2
 
0.8%
2 111
41.9%
1 5
 
1.9%

Unnamed: 51
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing259
Missing (%)97.7%
Memory size2.2 KiB
2024-04-30T01:43:17.174037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.3333333
Min length1

Characters and Unicode

Total characters32
Distinct characters18
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row본선1 지선2
2nd row까치산 PSD
3rd row1
4th row충무로 PSD
5th row2
ValueCountFrequency (%)
psd 2
20.0%
본선1 1
10.0%
지선2 1
10.0%
까치산 1
10.0%
1 1
10.0%
충무로 1
10.0%
2 1
10.0%
본선2 1
10.0%
입출고선1 1
10.0%
2024-04-30T01:43:17.472693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 4
12.5%
4
12.5%
1 3
 
9.4%
2 3
 
9.4%
본 2
 
6.2%
D 2
 
6.2%
S 2
 
6.2%
P 2
 
6.2%
산 1
 
3.1%
치 1
 
3.1%
Other values (8) 8
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
50.0%
Decimal Number 6
 
18.8%
Uppercase Letter 6
 
18.8%
Control 4
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 4
25.0%
본 2
12.5%
산 1
 
6.2%
치 1
 
6.2%
까 1
 
6.2%
지 1
 
6.2%
충 1
 
6.2%
무 1
 
6.2%
로 1
 
6.2%
입 1
 
6.2%
Other values (2) 2
12.5%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
S 2
33.3%
P 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
50.0%
Common 10
31.2%
Latin 6
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 4
25.0%
본 2
12.5%
산 1
 
6.2%
치 1
 
6.2%
까 1
 
6.2%
지 1
 
6.2%
충 1
 
6.2%
무 1
 
6.2%
로 1
 
6.2%
입 1
 
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
4
40.0%
1 3
30.0%
2 3
30.0%
Latin
ValueCountFrequency (%)
D 2
33.3%
S 2
33.3%
P 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
50.0%
ASCII 16
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 4
25.0%
본 2
12.5%
산 1
 
6.2%
치 1
 
6.2%
까 1
 
6.2%
지 1
 
6.2%
충 1
 
6.2%
무 1
 
6.2%
로 1
 
6.2%
입 1
 
6.2%
Other values (2) 2
12.5%
ASCII
ValueCountFrequency (%)
4
25.0%
1 3
18.8%
2 3
18.8%
D 2
12.5%
S 2
12.5%
P 2
12.5%

Sample

호선Unnamed: 1역번호역 명합 계집계 시스템개집표기(턴스타일)Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11슬림게이트Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16장애인게이트Unnamed: 18스피드게이트Unnamed: 20발매기환급기휴대용정산기무인 정산기유인충전기Unnamed: 26판매기발권기개집표기 통제시스템MWSMSCUnnamed: 32RMS카 메 라Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38통화콘솔Unnamed: 40Unnamed: 41AFC UPSUnnamed: 43전자 분전반무인충전기 마감케이스PSD UPSUnnamed: 47PSD 분전반Unnamed: 49PSD수량Unnamed: 51
0<NA><NA><NA><NA><NA><NA>설치(소계)ENEXREVFL철거소계1형2형3형5형설치철거설치철거<NA><NA><NA><NA>설치관리소 보관<NA><NA><NA><NA>설치관리소 보관<NA>소계대합(일반)대합(돔)승강(일반)승강(돔)유선무선철거집계UPS실<NA><NA><NA><NA><NA><NA><NA><NA>
11호선신답150서울역(1)117146100306<NA>161<NA>1410<NA>5<NA>1683513211<NA><NA><NA><NA>5<NA>5<NA><NA>3<NA><NA>104<NA>1<NA>2<NA>2<NA>
21호선신답151시청(1)10010<NA><NA><NA><NA><NA>644<NA>5640<NA>4<NA>84342<NA>2<NA>1<NA><NA>1<NA>4<NA>4<NA><NA>1<NA><NA>101<NA>1<NA>2<NA>2<NA>
31호선신답152종각8613760274<NA>112<NA>720<NA>5<NA>75352<NA>2<NA>1<NA><NA><NA><NA>5<NA>5<NA><NA>1<NA><NA>10322<NA>2<NA>2<NA>
41호선신답153종로3가(1)7313450245<NA>0<NA><NA><NA><NA>0<NA>4<NA>96342<NA>211<NA><NA><NA><NA>4<NA>4<NA><NA><NA>1<NA>101<NA>1<NA>2<NA>2<NA>
51호선신답154종로5가6113140234<NA>0<NA><NA><NA><NA>0<NA>3<NA>64332<NA>2<NA>1<NA><NA><NA><NA>3<NA>3<NA><NA>1<NA><NA>10311<NA>2<NA>2<NA>
61호선신답155동대문(1)6913250225<NA>0<NA><NA><NA><NA>0<NA>5<NA>45352<NA>2<NA>1<NA><NA><NA><NA>5<NA>5<NA><NA>3<NA><NA>102<NA>1<NA>2<NA>2<NA>
71호선신답156신설동(1)7712540174<NA>112<NA>720<NA>5<NA>96342<NA>1<NA>1<NA><NA><NA><NA>4<NA>4<NA><NA>4<NA><NA>10511<NA>2<NA>2<NA>
81호선신답157제기동4712040133<NA>0<NA><NA><NA><NA>0<NA>2<NA>55322<NA>2<NA>1<NA><NA><NA><NA>2<NA>2<NA><NA><NA>1<NA>103<NA>1<NA>2<NA>2<NA>
91호선신답158청량리7213680235<NA>0<NA><NA><NA><NA>0<NA>3<NA>85333<NA>111<NA><NA><NA><NA>3<NA>3<NA><NA>3<NA><NA>103<NA>1<NA>2<NA>2<NA>
호선Unnamed: 1역번호역 명합 계집계 시스템개집표기(턴스타일)Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11슬림게이트Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16장애인게이트Unnamed: 18스피드게이트Unnamed: 20발매기환급기휴대용정산기무인 정산기유인충전기Unnamed: 26판매기발권기개집표기 통제시스템MWSMSCUnnamed: 32RMS카 메 라Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38통화콘솔Unnamed: 40Unnamed: 41AFC UPSUnnamed: 43전자 분전반무인충전기 마감케이스PSD UPSUnnamed: 47PSD 분전반Unnamed: 49PSD수량Unnamed: 51
2554호선동대문427숙대입구5812840204000000004044242020100004040010001201<NA><NA><NA><NA><NA>
2564호선동대문428삼각지5412540174000000002044242010100006060010010301<NA><NA><NA><NA><NA>
2574호선동대문429신용산5412340154000000004044342020100004040010010311<NA><NA><NA><NA><NA>
2584호선동대문430이촌4811940132000000002074222011100002020030010201<NA><NA><NA><NA><NA>
2594호선동대문431동작311102062000000002022222011101002020010001301<NA><NA><NA><NA><NA>
2604호선동대문432총신대5012340154000000003044332010100003300001001301<NA><NA><NA><NA><NA>
2614호선동대문433사당5912560136000000003075333020100003300020010201<NA><NA><NA><NA><NA>
2624호선동대문434남태령23172041000000001022112010100001010020010201<NA><NA><NA><NA><NA>
263<NA>동대문역사문화전자관리소 합계<NA><NA>1,4122655795038181011813092130072012794677458044426230176215500307019768926<NA><NA><NA><NA><NA>
264총 합계<NA><NA><NA>6,7451192,569458111,74535510963164649962463401621440293336267319917119712363439324721153253813830546132<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

호선Unnamed: 1역번호역 명합 계집계 시스템개집표기(턴스타일)Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11슬림게이트Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16장애인게이트Unnamed: 18스피드게이트Unnamed: 20발매기환급기휴대용정산기무인 정산기유인충전기Unnamed: 26판매기발권기개집표기 통제시스템MWSMSCUnnamed: 32RMS카 메 라Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38통화콘솔Unnamed: 40Unnamed: 41AFC UPSUnnamed: 43전자 분전반무인충전기 마감케이스PSD UPSPSD 분전반Unnamed: 49PSD수량Unnamed: 51# duplicates
0호선<NA>역번호역 명합 계집계시스템개집표기(턴스타일)<NA><NA><NA><NA><NA>슬림게이트<NA><NA><NA><NA>장애인게이트<NA>스피드게이트<NA>발매기환급기휴대용정산기무인 정산기유인충전기<NA>판매기발권기개집표기 통제시스템MWSMSC<NA>RMS카 메 라<NA><NA><NA><NA>통화콘솔<NA><NA>AFC UPS<NA>전자 분전반무인충전기 마감케이스PSD UPS<NA><NA><NA><NA>2
1<NA><NA><NA><NA><NA><NA>설치(소계)ENEXREVFL철거소계1형2형3형5형설치철거설치철거<NA><NA><NA><NA>설치관리소보관<NA><NA><NA><NA>설치관리소보관<NA>소계대합(일반)대합(돔)승강(일반)승강(돔)유선무선철거집계AFC<NA><NA><NA><NA><NA><NA><NA>2