Overview

Dataset statistics

Number of variables8
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory68.9 B

Variable types

Categorical6
Text2

Dataset

Description부산1호선의 ATM 위치에 대한 데이터로 철도운영기관명, 선명, 역명, 지상지하구분, 역층, 상세위치, 금융기관명, 연락처의 데이터가 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041266/fileData.do

Alerts

철도운영기관 has constant value ""Constant
선명 has constant value ""Constant
금융기관명 has constant value ""Constant
연락처 has constant value ""Constant
역층 is highly imbalanced (67.7%)Imbalance
역명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:49:28.117026
Analysis finished2023-12-12 23:49:28.452160
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
부산교통공사
34 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산교통공사 34
100.0%

Length

2023-12-13T08:49:28.503134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:28.586006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산교통공사 34
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
1호선
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1호선
2nd row1호선
3rd row1호선
4th row1호선
5th row1호선

Common Values

ValueCountFrequency (%)
1호선 34
100.0%

Length

2023-12-13T08:49:28.666730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:28.757450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호선 34
100.0%

역명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T08:49:28.913504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length2
Mean length4.1470588
Min length2

Characters and Unicode

Total characters141
Distinct characters77
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row괴정
2nd row교대
3rd row구서
4th row남산(부산외국대학교)
5th row남포
ValueCountFrequency (%)
괴정 1
 
2.9%
교대 1
 
2.9%
토성 1
 
2.9%
초량 1
 
2.9%
중앙 1
 
2.9%
좌천 1
 
2.9%
장전(부산가톨릭대학교 1
 
2.9%
자갈치 1
 
2.9%
온천장 1
 
2.9%
동래 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T08:49:29.212538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 9
 
6.4%
) 8
 
5.7%
( 8
 
5.7%
부 8
 
5.7%
대 8
 
5.7%
교 3
 
2.1%
하 3
 
2.1%
신 3
 
2.1%
학 3
 
2.1%
장 3
 
2.1%
Other values (67) 85
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124
87.9%
Close Punctuation 8
 
5.7%
Open Punctuation 8
 
5.7%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 9
 
7.3%
부 8
 
6.5%
대 8
 
6.5%
교 3
 
2.4%
하 3
 
2.4%
신 3
 
2.4%
학 3
 
2.4%
장 3
 
2.4%
사 3
 
2.4%
서 3
 
2.4%
Other values (64) 78
62.9%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124
87.9%
Common 17
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 9
 
7.3%
부 8
 
6.5%
대 8
 
6.5%
교 3
 
2.4%
하 3
 
2.4%
신 3
 
2.4%
학 3
 
2.4%
장 3
 
2.4%
사 3
 
2.4%
서 3
 
2.4%
Other values (64) 78
62.9%
Common
ValueCountFrequency (%)
) 8
47.1%
( 8
47.1%
· 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124
87.9%
ASCII 16
 
11.3%
None 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 9
 
7.3%
부 8
 
6.5%
대 8
 
6.5%
교 3
 
2.4%
하 3
 
2.4%
신 3
 
2.4%
학 3
 
2.4%
장 3
 
2.4%
사 3
 
2.4%
서 3
 
2.4%
Other values (64) 78
62.9%
ASCII
ValueCountFrequency (%)
) 8
50.0%
( 8
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

지상지하구분
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
지하
25 
지상
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지하
2nd row지하
3rd row지상
4th row지하
5th row지하

Common Values

ValueCountFrequency (%)
지하 25
73.5%
지상 9
 
26.5%

Length

2023-12-13T08:49:29.319848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:29.626191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하 25
73.5%
지상 9
 
26.5%

역층
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
1
32 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
94.1%
2 2
 
5.9%

Length

2023-12-13T08:49:29.702430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:29.778056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
94.1%
2 2
 
5.9%

상세위치
Text

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T08:49:29.891140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length19.382353
Min length13

Characters and Unicode

Total characters659
Distinct characters44
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)67.6%

Sample

1st row(B1) 3번 출입구 방향
2nd row(B1) 표내는 곳 인근 3번 출입구 방향
3rd row(F2) 1번 출입구 방향
4th row(B1) 표내는 곳 인근 5번 7번 출입구 방향
5th row(B1) 표내는 곳 인근 2번 출입구 방향
ValueCountFrequency (%)
출입구 29
15.4%
방향 29
15.4%
b1 25
13.3%
표내는 14
 
7.4%
곳 14
 
7.4%
인근 12
 
6.4%
1번 9
 
4.8%
f1 8
 
4.3%
6번 6
 
3.2%
8번 5
 
2.7%
Other values (14) 37
19.7%
2023-12-13T08:49:30.139773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
26.6%
1 42
 
6.4%
번 38
 
5.8%
( 34
 
5.2%
) 34
 
5.2%
출 29
 
4.4%
입 29
 
4.4%
구 29
 
4.4%
방 29
 
4.4%
향 29
 
4.4%
Other values (34) 191
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
47.0%
Space Separator 175
26.6%
Decimal Number 72
 
10.9%
Open Punctuation 34
 
5.2%
Close Punctuation 34
 
5.2%
Uppercase Letter 34
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 38
12.3%
출 29
9.4%
입 29
9.4%
구 29
9.4%
방 29
9.4%
향 29
9.4%
근 15
 
4.8%
내 14
 
4.5%
는 14
 
4.5%
곳 14
 
4.5%
Other values (21) 70
22.6%
Decimal Number
ValueCountFrequency (%)
1 42
58.3%
6 6
 
8.3%
2 6
 
8.3%
8 5
 
6.9%
3 4
 
5.6%
5 4
 
5.6%
7 3
 
4.2%
4 2
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 25
73.5%
F 9
 
26.5%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 315
47.8%
Hangul 310
47.0%
Latin 34
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 38
12.3%
출 29
9.4%
입 29
9.4%
구 29
9.4%
방 29
9.4%
향 29
9.4%
근 15
 
4.8%
내 14
 
4.5%
는 14
 
4.5%
곳 14
 
4.5%
Other values (21) 70
22.6%
Common
ValueCountFrequency (%)
175
55.6%
1 42
 
13.3%
( 34
 
10.8%
) 34
 
10.8%
6 6
 
1.9%
2 6
 
1.9%
8 5
 
1.6%
3 4
 
1.3%
5 4
 
1.3%
7 3
 
1.0%
Latin
ValueCountFrequency (%)
B 25
73.5%
F 9
 
26.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
53.0%
Hangul 310
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
50.1%
1 42
 
12.0%
( 34
 
9.7%
) 34
 
9.7%
B 25
 
7.2%
F 9
 
2.6%
6 6
 
1.7%
2 6
 
1.7%
8 5
 
1.4%
3 4
 
1.1%
Other values (3) 9
 
2.6%
Hangul
ValueCountFrequency (%)
번 38
12.3%
출 29
9.4%
입 29
9.4%
구 29
9.4%
방 29
9.4%
향 29
9.4%
근 15
 
4.8%
내 14
 
4.5%
는 14
 
4.5%
곳 14
 
4.5%
Other values (21) 70
22.6%

금융기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
(주)효성티앤에스
34 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(주)효성티앤에스
2nd row(주)효성티앤에스
3rd row(주)효성티앤에스
4th row(주)효성티앤에스
5th row(주)효성티앤에스

Common Values

ValueCountFrequency (%)
(주)효성티앤에스 34
100.0%

Length

2023-12-13T08:49:30.237764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:30.318431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주)효성티앤에스 34
100.0%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
080-920-2220
34 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row080-920-2220
2nd row080-920-2220
3rd row080-920-2220
4th row080-920-2220
5th row080-920-2220

Common Values

ValueCountFrequency (%)
080-920-2220 34
100.0%

Length

2023-12-13T08:49:30.393708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:30.467779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
080-920-2220 34
100.0%

Correlations

2023-12-13T08:49:30.516032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명지상지하구분역층상세위치
역명1.0001.0001.0001.000
지상지하구분1.0001.0000.0001.000
역층1.0000.0001.0001.000
상세위치1.0001.0001.0001.000
2023-12-13T08:49:30.591364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역층지상지하구분
역층1.0000.000
지상지하구분0.0001.000
2023-12-13T08:49:30.653311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지상지하구분역층
지상지하구분1.0000.000
역층0.0001.000

Missing values

2023-12-13T08:49:28.319216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:49:28.412703image/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

철도운영기관선명역명지상지하구분역층상세위치금융기관명연락처
0부산교통공사1호선괴정지하1(B1) 3번 출입구 방향(주)효성티앤에스080-920-2220
1부산교통공사1호선교대지하1(B1) 표내는 곳 인근 3번 출입구 방향(주)효성티앤에스080-920-2220
2부산교통공사1호선구서지상2(F2) 1번 출입구 방향(주)효성티앤에스080-920-2220
3부산교통공사1호선남산(부산외국대학교)지하1(B1) 표내는 곳 인근 5번 7번 출입구 방향(주)효성티앤에스080-920-2220
4부산교통공사1호선남포지하1(B1) 표내는 곳 인근 2번 출입구 방향(주)효성티앤에스080-920-2220
5부산교통공사1호선노포(종합버스터미널)지상1(F1) 대합실 고객센터 근처(주)효성티앤에스080-920-2220
6부산교통공사1호선당리(사하구청)지하1(B1) 4번 출입구 방향(주)효성티앤에스080-920-2220
7부산교통공사1호선대티(동주대학)지하1(B1) 1번 엘리베이터 옆 2번 출입구 방향(주)효성티앤에스080-920-2220
8부산교통공사1호선동대신지하1(B1) 6번 출입구 방향(주)효성티앤에스080-920-2220
9부산교통공사1호선동래지상1(F1) 1번 출입구 방향(주)효성티앤에스080-920-2220
철도운영기관선명역명지상지하구분역층상세위치금융기관명연락처
24부산교통공사1호선양정지하1(B1) 표내는 곳 인근 5번 출입구 방향(주)효성티앤에스080-920-2220
25부산교통공사1호선연산지하1(B1) 표내는 곳 인근 5번 7번 출입구 방향(주)효성티앤에스080-920-2220
26부산교통공사1호선온천장지상1(F1) 1번 출입구 방향(주)효성티앤에스080-920-2220
27부산교통공사1호선자갈치지하1(B1) 표내는 곳 인근 6번 출입구 방향(주)효성티앤에스080-920-2220
28부산교통공사1호선장전(부산가톨릭대학교)지상1(F1) 1번 출입구 방향(주)효성티앤에스080-920-2220
29부산교통공사1호선좌천지하1(B1) 5번 7번 출입구 방향(주)효성티앤에스080-920-2220
30부산교통공사1호선중앙지하1(B1) 표내는 곳 인근 1번 엘리베이터 옆(주)효성티앤에스080-920-2220
31부산교통공사1호선초량지하1(B1) 6번 8번 출입구 방향(주)효성티앤에스080-920-2220
32부산교통공사1호선토성지하1(B1) 표내는 곳 인근 2번 출입구 방향(주)효성티앤에스080-920-2220
33부산교통공사1호선하단(부산본병원)지하1(B1) 표내는 곳 인근 3번 출입구 방향(주)효성티앤에스080-920-2220