Overview

Dataset statistics

Number of variables3
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.0 B
Average record size in memory29.3 B

Variable types

Text3

Dataset

Description광주교통공사 차량제원에 대한 데이터로 운행 전동차 제원(도입일자, 편성, 속도, 보안장치 등) 정보를 제공합니다.
Author광주교통공사
URLhttps://www.data.go.kr/data/15048244/fileData.do

Alerts

구분 has unique valuesUnique
1호선 1단계 has unique valuesUnique
1호선 2단계 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:27:20.680616
Analysis finished2023-12-12 13:27:21.051090
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T22:27:21.181333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.36
Min length2

Characters and Unicode

Total characters109
Distinct characters59
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

Unique25 ?
Unique (%)100.0%

Sample

1st row도입일자
2nd row편성(량수)
3rd row차량편성
4th row운전형태
5th row최대속도
ValueCountFrequency (%)
도입일자 1
 
3.8%
편성(량수 1
 
3.8%
비 1
 
3.8%
내장판 1
 
3.8%
출입문 1
 
3.8%
차체-외부형태 1
 
3.8%
제동방식 1
 
3.8%
보안장치 1
 
3.8%
냉방기 1
 
3.8%
전동공기압축기 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T22:27:21.503729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 6
 
5.5%
속 5
 
4.6%
전 4
 
3.7%
대 4
 
3.7%
장 4
 
3.7%
최 4
 
3.7%
기 4
 
3.7%
차 4
 
3.7%
치 3
 
2.8%
동 3
 
2.8%
Other values (49) 68
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
94.5%
Open Punctuation 2
 
1.8%
Close Punctuation 2
 
1.8%
Dash Punctuation 1
 
0.9%
Space Separator 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6
 
5.8%
속 5
 
4.9%
전 4
 
3.9%
대 4
 
3.9%
장 4
 
3.9%
최 4
 
3.9%
기 4
 
3.9%
차 4
 
3.9%
치 3
 
2.9%
동 3
 
2.9%
Other values (45) 62
60.2%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
94.5%
Common 6
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6
 
5.8%
속 5
 
4.9%
전 4
 
3.9%
대 4
 
3.9%
장 4
 
3.9%
최 4
 
3.9%
기 4
 
3.9%
차 4
 
3.9%
치 3
 
2.9%
동 3
 
2.9%
Other values (45) 62
60.2%
Common
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
- 1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
94.5%
ASCII 6
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 6
 
5.8%
속 5
 
4.9%
전 4
 
3.9%
대 4
 
3.9%
장 4
 
3.9%
최 4
 
3.9%
기 4
 
3.9%
차 4
 
3.9%
치 3
 
2.9%
동 3
 
2.9%
Other values (45) 62
60.2%
ASCII
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
- 1
16.7%
1
16.7%

1호선 1단계
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T22:27:21.756500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length23
Mean length18.24
Min length6

Characters and Unicode

Total characters456
Distinct characters140
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row2004-04-28
2nd row13편성(52)
3rd row4량 1편성(Tc+M+M+Tc)
4th row무인운전이 가능한 1인 운전
5th row100km/h
ValueCountFrequency (%)
7
 
9.0%
정지형 2
 
2.6%
대차 2
 
2.6%
2004-04-28 1
 
1.3%
방식 1
 
1.3%
옥상노출취부 1
 
1.3%
1,000l/min 1
 
1.3%
압축(용량 1
 
1.3%
1단 1
 
1.3%
스크류 1
 
1.3%
Other values (60) 60
76.9%
2023-12-12T22:27:22.150213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
11.6%
0 20
 
4.4%
1 14
 
3.1%
, 13
 
2.9%
/ 12
 
2.6%
m 11
 
2.4%
) 11
 
2.4%
( 11
 
2.4%
상 9
 
2.0%
k 9
 
2.0%
Other values (130) 293
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210
46.1%
Decimal Number 62
 
13.6%
Space Separator 53
 
11.6%
Lowercase Letter 42
 
9.2%
Other Punctuation 35
 
7.7%
Uppercase Letter 24
 
5.3%
Close Punctuation 11
 
2.4%
Open Punctuation 11
 
2.4%
Dash Punctuation 5
 
1.1%
Math Symbol 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 9
 
4.3%
기 7
 
3.3%
전 7
 
3.3%
동 7
 
3.3%
정 7
 
3.3%
식 6
 
2.9%
형 5
 
2.4%
량 5
 
2.4%
용 5
 
2.4%
스 5
 
2.4%
Other values (90) 147
70.0%
Lowercase Letter
ValueCountFrequency (%)
m 11
26.2%
k 9
21.4%
h 7
16.7%
s 3
 
7.1%
c 3
 
7.1%
a 2
 
4.8%
l 2
 
4.8%
r 1
 
2.4%
w 1
 
2.4%
v 1
 
2.4%
Other values (2) 2
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
T 6
25.0%
V 4
16.7%
C 3
12.5%
M 3
12.5%
F 2
 
8.3%
A 2
 
8.3%
O 1
 
4.2%
I 1
 
4.2%
G 1
 
4.2%
B 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
0 20
32.3%
1 14
22.6%
3 7
 
11.3%
4 7
 
11.3%
2 6
 
9.7%
5 4
 
6.5%
8 2
 
3.2%
7 1
 
1.6%
6 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 13
37.1%
/ 12
34.3%
: 7
20.0%
. 3
 
8.6%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 210
46.1%
Common 180
39.5%
Latin 66
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 9
 
4.3%
기 7
 
3.3%
전 7
 
3.3%
동 7
 
3.3%
정 7
 
3.3%
식 6
 
2.9%
형 5
 
2.4%
량 5
 
2.4%
용 5
 
2.4%
스 5
 
2.4%
Other values (90) 147
70.0%
Latin
ValueCountFrequency (%)
m 11
16.7%
k 9
13.6%
h 7
10.6%
T 6
 
9.1%
V 4
 
6.1%
C 3
 
4.5%
s 3
 
4.5%
c 3
 
4.5%
M 3
 
4.5%
F 2
 
3.0%
Other values (12) 15
22.7%
Common
ValueCountFrequency (%)
53
29.4%
0 20
 
11.1%
1 14
 
7.8%
, 13
 
7.2%
/ 12
 
6.7%
) 11
 
6.1%
( 11
 
6.1%
: 7
 
3.9%
3 7
 
3.9%
4 7
 
3.9%
Other values (8) 25
13.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 246
53.9%
Hangul 210
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
21.5%
0 20
 
8.1%
1 14
 
5.7%
, 13
 
5.3%
/ 12
 
4.9%
m 11
 
4.5%
) 11
 
4.5%
( 11
 
4.5%
k 9
 
3.7%
: 7
 
2.8%
Other values (30) 85
34.6%
Hangul
ValueCountFrequency (%)
상 9
 
4.3%
기 7
 
3.3%
전 7
 
3.3%
동 7
 
3.3%
정 7
 
3.3%
식 6
 
2.9%
형 5
 
2.4%
량 5
 
2.4%
용 5
 
2.4%
스 5
 
2.4%
Other values (90) 147
70.0%

1호선 2단계
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T22:27:22.410011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length25
Mean length18.28
Min length6

Characters and Unicode

Total characters457
Distinct characters141
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row2008-04-11
2nd row10편성(40)
3rd row4량 1편성(Tc+M+M+Tc)
4th row무인운전이 가능한 1인 운전
5th row100km/h
ValueCountFrequency (%)
7
 
9.0%
정지형 2
 
2.6%
대차 2
 
2.6%
2008-04-11 1
 
1.3%
방식 1
 
1.3%
옥상노출취부 1
 
1.3%
1,000l/min 1
 
1.3%
압축(용량 1
 
1.3%
1단 1
 
1.3%
스크류 1
 
1.3%
Other values (60) 60
76.9%
2023-12-12T22:27:23.061329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
11.6%
0 22
 
4.8%
1 15
 
3.3%
, 13
 
2.8%
/ 12
 
2.6%
( 11
 
2.4%
) 11
 
2.4%
m 11
 
2.4%
k 9
 
2.0%
상 9
 
2.0%
Other values (131) 291
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
45.5%
Decimal Number 62
 
13.6%
Space Separator 53
 
11.6%
Lowercase Letter 42
 
9.2%
Other Punctuation 35
 
7.7%
Uppercase Letter 27
 
5.9%
Open Punctuation 11
 
2.4%
Close Punctuation 11
 
2.4%
Dash Punctuation 5
 
1.1%
Math Symbol 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 9
 
4.3%
전 8
 
3.8%
동 7
 
3.4%
정 7
 
3.4%
기 7
 
3.4%
용 6
 
2.9%
식 6
 
2.9%
형 6
 
2.9%
스 5
 
2.4%
공 4
 
1.9%
Other values (89) 143
68.8%
Lowercase Letter
ValueCountFrequency (%)
m 11
26.2%
k 9
21.4%
h 7
16.7%
s 3
 
7.1%
c 3
 
7.1%
a 2
 
4.8%
l 2
 
4.8%
r 1
 
2.4%
w 1
 
2.4%
n 1
 
2.4%
Other values (2) 2
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
T 6
22.2%
V 4
14.8%
C 3
11.1%
F 3
11.1%
M 3
11.1%
A 2
 
7.4%
O 1
 
3.7%
P 1
 
3.7%
R 1
 
3.7%
G 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
0 22
35.5%
1 15
24.2%
4 7
 
11.3%
3 6
 
9.7%
2 5
 
8.1%
5 3
 
4.8%
8 2
 
3.2%
7 1
 
1.6%
6 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 13
37.1%
/ 12
34.3%
: 7
20.0%
. 3
 
8.6%
Space Separator
ValueCountFrequency (%)
53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
45.5%
Common 180
39.4%
Latin 69
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 9
 
4.3%
전 8
 
3.8%
동 7
 
3.4%
정 7
 
3.4%
기 7
 
3.4%
용 6
 
2.9%
식 6
 
2.9%
형 6
 
2.9%
스 5
 
2.4%
공 4
 
1.9%
Other values (89) 143
68.8%
Latin
ValueCountFrequency (%)
m 11
15.9%
k 9
13.0%
h 7
10.1%
T 6
 
8.7%
V 4
 
5.8%
s 3
 
4.3%
C 3
 
4.3%
F 3
 
4.3%
c 3
 
4.3%
M 3
 
4.3%
Other values (14) 17
24.6%
Common
ValueCountFrequency (%)
53
29.4%
0 22
12.2%
1 15
 
8.3%
, 13
 
7.2%
/ 12
 
6.7%
( 11
 
6.1%
) 11
 
6.1%
: 7
 
3.9%
4 7
 
3.9%
3 6
 
3.3%
Other values (8) 23
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249
54.5%
Hangul 208
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
21.3%
0 22
 
8.8%
1 15
 
6.0%
, 13
 
5.2%
/ 12
 
4.8%
( 11
 
4.4%
) 11
 
4.4%
m 11
 
4.4%
k 9
 
3.6%
: 7
 
2.8%
Other values (32) 85
34.1%
Hangul
ValueCountFrequency (%)
상 9
 
4.3%
전 8
 
3.8%
동 7
 
3.4%
정 7
 
3.4%
기 7
 
3.4%
용 6
 
2.9%
식 6
 
2.9%
형 6
 
2.9%
스 5
 
2.4%
공 4
 
1.9%
Other values (89) 143
68.8%

Correlations

2023-12-12T22:27:23.203180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분1호선 1단계1호선 2단계
구분1.0001.0001.000
1호선 1단계1.0001.0001.000
1호선 2단계1.0001.0001.000

Missing values

2023-12-12T22:27:20.947231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:27:21.022732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분1호선 1단계1호선 2단계
0도입일자2004-04-282008-04-11
1편성(량수)13편성(52)10편성(40)
2차량편성4량 1편성(Tc+M+M+Tc)4량 1편성(Tc+M+M+Tc)
3운전형태무인운전이 가능한 1인 운전무인운전이 가능한 1인 운전
4최대속도100km/h100km/h
5최고운행속도80km/h80km/h
6가속도3.0km/h/s3.0km/h/s
7감속도(최대)상용제동 : 3.5km/h/s, 비상제동 : 4.5km/h/s상용제동 : 3.5km/h/s, 비상제동 : 4.5km/h/s
8표정속도33km/h이상33km/h이상
9정원Tc : 113명, M : 124명Tc : 113명, M : 124명
구분1호선 1단계1호선 2단계
15견인제어장치가변전압, 가변주파수(VVVF) 정지형 인버터가변전압, 가변주파수(VVVF) 정지형 인버터
16보조전원장치일정전압 일정주파수(CVCF) 정지형 인버터(IGBT소자사용, 정격용량 : 160kva)일정전압 일정주파수(CVCF) 정지형 인버터(IGBT소자사용, 정격용량 : 160kva)
17전동공기압축기스크류 방식, 1단 압축(용량 : 1,000l/min)스크류 방식, 1단 압축(용량 : 1,000l/min)
18냉방기옥상노출취부, 천정집약 공급덕트유도 분산형(40,000kal/hr(1량당))옥상노출취부, 천정집약 공급덕트유도 분산형(40,000kal/hr(1량당))
19보안장치ATC/ATOATC/ATO
20제동방식회생제동 병용 아날로그 전기지령식 공기제동회생제동 병용 아날로그 전기지령식 공기제동
21차체-외부형태경량구조의 알류미늄-압출재전두부 FRP적용으로-유선형
22출입문전기구동에 의한 도어엔진전기구동에 의한 도어엔진
23내장판모듈식, 난연성의 구조모듈식, 난연성의 구조
24비 고녹동-상무 (1-1단계)상무-평동 (1-2단계)