Overview

Dataset statistics

Number of variables21
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory181.9 B

Variable types

Numeric7
Categorical9
Text1
Boolean4

Dataset

Description대구도시철도 1호선 역별 구간정보로 역코드, 역종류, 역명, 승무소속, 상,하행별 km 및 시간, 회차여부 및 시간, 표준구배, 최고속도 및 평균속도, 회차키로, 측선여부, 승무교대여부, 가동여부, 역강조여부를 제공하고 있습니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15061836/fileData.do

Alerts

가동여부 has constant value ""Constant
역종류 is highly imbalanced (67.7%)Imbalance
정차시간 is highly imbalanced (56.9%)Imbalance
회차여부 is highly imbalanced (67.7%)Imbalance
회차키로 is highly imbalanced (80.9%)Imbalance
역코드 has unique valuesUnique
역명 has unique valuesUnique
상_하행별 정보(km) has unique valuesUnique
상행키로 has 3 (8.8%) zerosZeros
하행키로 has 2 (5.9%) zerosZeros
표준구배(오르막) has 19 (55.9%) zerosZeros
표준구배(내리막) has 17 (50.0%) zerosZeros
평균속도 has 3 (8.8%) zerosZeros

Reproduction

Analysis started2024-04-18 07:53:39.312332
Analysis finished2024-04-18 07:53:39.520503
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

역코드
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.61765
Minimum100
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T16:53:39.576688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile115.65
Q1122.25
median130.5
Q3138.75
95-th percentile145.35
Maximum199
Range99
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation15.866898
Coefficient of variation (CV)0.12055297
Kurtosis9.354611
Mean131.61765
Median Absolute Deviation (MAD)8.5
Skewness2.137069
Sum4475
Variance251.75847
MonotonicityNot monotonic
2024-04-18T16:53:39.688597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
115 1
 
2.9%
140 1
 
2.9%
134 1
 
2.9%
135 1
 
2.9%
136 1
 
2.9%
137 1
 
2.9%
138 1
 
2.9%
139 1
 
2.9%
141 1
 
2.9%
132 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
100 1
2.9%
115 1
2.9%
116 1
2.9%
117 1
2.9%
118 1
2.9%
119 1
2.9%
120 1
2.9%
121 1
2.9%
122 1
2.9%
123 1
2.9%
ValueCountFrequency (%)
199 1
2.9%
146 1
2.9%
145 1
2.9%
144 1
2.9%
143 1
2.9%
142 1
2.9%
141 1
2.9%
140 1
2.9%
139 1
2.9%
138 1
2.9%

역종류
Categorical

IMBALANCE 

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

Length

Max length4
Median length3
Mean length3.0588235
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반역
2nd row일반역
3rd row일반역
4th row차량기지
5th row일반역

Common Values

ValueCountFrequency (%)
일반역 32
94.1%
차량기지 2
 
5.9%

Length

2024-04-18T16:53:39.797002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:39.902068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반역 32
94.1%
차량기지 2
 
5.9%

역명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T16:53:40.067872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.7352941
Min length2

Characters and Unicode

Total characters93
Distinct characters55
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

Unique34 ?
Unique (%)100.0%

Sample

1st row설화명곡
2nd row화원
3rd row대곡
4th row월배기지
5th row진천
ValueCountFrequency (%)
설화명곡 1
 
2.9%
화원 1
 
2.9%
안심 1
 
2.9%
각산 1
 
2.9%
반야월 1
 
2.9%
신기 1
 
2.9%
율하 1
 
2.9%
용계 1
 
2.9%
방촌 1
 
2.9%
서부정류장 1
 
2.9%
Other values (24) 24
70.6%
2024-04-18T16:53:40.433539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 6
 
6.5%
월 5
 
5.4%
안 4
 
4.3%
구 3
 
3.2%
명 3
 
3.2%
기 3
 
3.2%
촌 3
 
3.2%
동 3
 
3.2%
지 3
 
3.2%
역 2
 
2.2%
Other values (45) 58
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
97.8%
Decimal Number 2
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 6
 
6.6%
월 5
 
5.5%
안 4
 
4.4%
구 3
 
3.3%
명 3
 
3.3%
기 3
 
3.3%
촌 3
 
3.3%
동 3
 
3.3%
지 3
 
3.3%
역 2
 
2.2%
Other values (44) 56
61.5%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
97.8%
Common 2
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 6
 
6.6%
월 5
 
5.5%
안 4
 
4.4%
구 3
 
3.3%
명 3
 
3.3%
기 3
 
3.3%
촌 3
 
3.3%
동 3
 
3.3%
지 3
 
3.3%
역 2
 
2.2%
Other values (44) 56
61.5%
Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
97.8%
ASCII 2
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 6
 
6.6%
월 5
 
5.5%
안 4
 
4.4%
구 3
 
3.3%
명 3
 
3.3%
기 3
 
3.3%
촌 3
 
3.3%
동 3
 
3.3%
지 3
 
3.3%
역 2
 
2.2%
Other values (44) 56
61.5%
ASCII
ValueCountFrequency (%)
1 2
100.0%

승무소속㈜
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
월배승무부
17 
안심승무부
17 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
월배승무부 17
50.0%
안심승무부 17
50.0%

Length

2024-04-18T16:53:40.553583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:40.647166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월배승무부 17
50.0%
안심승무부 17
50.0%

승무소속(부)
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
안심승무부
18 
월배승무부
16 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안심승무부
2nd row월배승무부
3rd row월배승무부
4th row월배승무부
5th row월배승무부

Common Values

ValueCountFrequency (%)
안심승무부 18
52.9%
월배승무부 16
47.1%

Length

2024-04-18T16:53:40.751498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:40.843168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안심승무부 18
52.9%
월배승무부 16
47.1%

상_하행별 정보(km)
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.394588
Minimum-2.675
Maximum26.72
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)8.8%
Memory size438.0 B
2024-04-18T16:53:40.938743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.675
5-th percentile-0.63205
Q14.4025
median10.7725
Q318.16
95-th percentile25.1155
Maximum26.72
Range29.395
Interquartile range (IQR)13.7575

Descriptive statistics

Standard deviation8.6527096
Coefficient of variation (CV)0.7593701
Kurtosis-1.1077226
Mean11.394588
Median Absolute Deviation (MAD)7.135
Skewness0.16056311
Sum387.416
Variance74.869383
MonotonicityStrictly increasing
2024-04-18T16:53:41.052720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
-2.675 1
 
2.9%
19.44 1
 
2.9%
13.835 1
 
2.9%
14.74 1
 
2.9%
15.59 1
 
2.9%
16.425 1
 
2.9%
17.47 1
 
2.9%
18.39 1
 
2.9%
20.54 1
 
2.9%
11.86 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
-2.675 1
2.9%
-1.453 1
2.9%
-0.19 1
2.9%
0.179 1
2.9%
0.84 1
2.9%
1.59 1
2.9%
2.34 1
2.9%
3.2 1
2.9%
4.19 1
2.9%
5.04 1
2.9%
ValueCountFrequency (%)
26.72 1
2.9%
25.72 1
2.9%
24.79 1
2.9%
23.8 1
2.9%
22.79 1
2.9%
21.76 1
2.9%
20.54 1
2.9%
19.44 1
2.9%
18.39 1
2.9%
17.47 1
2.9%

상행키로
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88823529
Minimum0
Maximum3
Zeros3
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T16:53:41.150243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.725
median0.9
Q31
95-th percentile1.235
Maximum3
Range3
Interquartile range (IQR)0.275

Descriptive statistics

Standard deviation0.48101201
Coefficient of variation (CV)0.54153669
Kurtosis11.520455
Mean0.88823529
Median Absolute Deviation (MAD)0.1
Skewness2.149359
Sum30.2
Variance0.23137255
MonotonicityNot monotonic
2024-04-18T16:53:41.247198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.0 7
20.6%
0.8 7
20.6%
0.7 6
17.6%
0.9 5
14.7%
0.0 3
8.8%
1.2 2
 
5.9%
1.1 2
 
5.9%
3.0 1
 
2.9%
1.3 1
 
2.9%
ValueCountFrequency (%)
0.0 3
8.8%
0.7 6
17.6%
0.8 7
20.6%
0.9 5
14.7%
1.0 7
20.6%
1.1 2
 
5.9%
1.2 2
 
5.9%
1.3 1
 
2.9%
3.0 1
 
2.9%
ValueCountFrequency (%)
3.0 1
 
2.9%
1.3 1
 
2.9%
1.2 2
 
5.9%
1.1 2
 
5.9%
1.0 7
20.6%
0.9 5
14.7%
0.8 7
20.6%
0.7 6
17.6%
0.0 3
8.8%

하행키로
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88235294
Minimum0
Maximum1.6
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T16:53:41.348427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.455
Q10.8
median0.9
Q31
95-th percentile1.235
Maximum1.6
Range1.6
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.3009788
Coefficient of variation (CV)0.3411093
Kurtosis3.5783516
Mean0.88235294
Median Absolute Deviation (MAD)0.1
Skewness-0.99613504
Sum30
Variance0.090588235
MonotonicityNot monotonic
2024-04-18T16:53:41.458221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.0 7
20.6%
0.8 7
20.6%
0.7 6
17.6%
0.9 5
14.7%
1.2 3
8.8%
0.0 2
 
5.9%
1.1 2
 
5.9%
1.3 1
 
2.9%
1.6 1
 
2.9%
ValueCountFrequency (%)
0.0 2
 
5.9%
0.7 6
17.6%
0.8 7
20.6%
0.9 5
14.7%
1.0 7
20.6%
1.1 2
 
5.9%
1.2 3
8.8%
1.3 1
 
2.9%
1.6 1
 
2.9%
ValueCountFrequency (%)
1.6 1
 
2.9%
1.3 1
 
2.9%
1.2 3
8.8%
1.1 2
 
5.9%
1.0 7
20.6%
0.9 5
14.7%
0.8 7
20.6%
0.7 6
17.6%
0.0 2
 
5.9%

정차시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
0:00:25
31 
0
 
3

Length

Max length7
Median length7
Mean length6.4705882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0:00:25
3rd row0:00:25
4th row0
5th row0:00:25

Common Values

ValueCountFrequency (%)
0:00:25 31
91.2%
0 3
 
8.8%

Length

2024-04-18T16:53:41.575187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:41.660115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00:25 31
91.2%
0 3
 
8.8%

상행시간
Categorical

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
0:01:10
8 
0:01:20
7 
0:01:25
5 
0:01:15
4 
0
3 
Other values (4)
7 

Length

Max length7
Median length7
Mean length6.4705882
Min length1

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row0
2nd row0:01:50
3rd row0:01:50
4th row0
5th row0:01:40

Common Values

ValueCountFrequency (%)
0:01:10 8
23.5%
0:01:20 7
20.6%
0:01:25 5
14.7%
0:01:15 4
11.8%
0 3
 
8.8%
0:01:40 3
 
8.8%
0:01:50 2
 
5.9%
0:01:35 1
 
2.9%
0:01:30 1
 
2.9%

Length

2024-04-18T16:53:41.756436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:41.870506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:01:10 8
23.5%
0:01:20 7
20.6%
0:01:25 5
14.7%
0:01:15 4
11.8%
0 3
 
8.8%
0:01:40 3
 
8.8%
0:01:50 2
 
5.9%
0:01:35 1
 
2.9%
0:01:30 1
 
2.9%

하행시간
Categorical

Distinct10
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
0:01:10
8 
0:01:20
7 
0:01:25
5 
0:01:15
4 
0:01:40
3 
Other values (5)
7 

Length

Max length7
Median length7
Mean length6.6470588
Min length1

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st row0:01:50
2nd row0:01:50
3rd row0:01:40
4th row0
5th row0:01:10

Common Values

ValueCountFrequency (%)
0:01:10 8
23.5%
0:01:20 7
20.6%
0:01:25 5
14.7%
0:01:15 4
11.8%
0:01:40 3
 
8.8%
0:01:50 2
 
5.9%
0 2
 
5.9%
0:01:35 1
 
2.9%
0:01:30 1
 
2.9%
0:02:20 1
 
2.9%

Length

2024-04-18T16:53:42.011120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:42.152306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:01:10 8
23.5%
0:01:20 7
20.6%
0:01:25 5
14.7%
0:01:15 4
11.8%
0:01:40 3
 
8.8%
0:01:50 2
 
5.9%
0 2
 
5.9%
0:01:35 1
 
2.9%
0:01:30 1
 
2.9%
0:02:20 1
 
2.9%

회차여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
32 
True
 
2
ValueCountFrequency (%)
False 32
94.1%
True 2
 
5.9%
2024-04-18T16:53:42.282972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

표준구배(오르막)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2794118
Minimum0
Maximum15
Zeros19
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T16:53:42.369859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.575
95-th percentile11.42
Maximum15
Range15
Interquartile range (IQR)7.575

Descriptive statistics

Standard deviation4.5874519
Coefficient of variation (CV)1.3988643
Kurtosis-0.15347632
Mean3.2794118
Median Absolute Deviation (MAD)0
Skewness1.0961492
Sum111.5
Variance21.044715
MonotonicityNot monotonic
2024-04-18T16:53:42.507385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 19
55.9%
11.0 2
 
5.9%
3.0 1
 
2.9%
2.0 1
 
2.9%
9.0 1
 
2.9%
15.0 1
 
2.9%
4.7 1
 
2.9%
12.2 1
 
2.9%
8.7 1
 
2.9%
8.5 1
 
2.9%
Other values (5) 5
 
14.7%
ValueCountFrequency (%)
0.0 19
55.9%
1.0 1
 
2.9%
2.0 1
 
2.9%
2.7 1
 
2.9%
3.0 1
 
2.9%
4.7 1
 
2.9%
7.2 1
 
2.9%
7.7 1
 
2.9%
7.8 1
 
2.9%
8.5 1
 
2.9%
ValueCountFrequency (%)
15.0 1
2.9%
12.2 1
2.9%
11.0 2
5.9%
9.0 1
2.9%
8.7 1
2.9%
8.5 1
2.9%
7.8 1
2.9%
7.7 1
2.9%
7.2 1
2.9%
4.7 1
2.9%

표준구배(내리막)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5764706
Minimum0
Maximum16.6
Zeros17
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T16:53:42.615650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.55
Q34.075
95-th percentile8.85
Maximum16.6
Range16.6
Interquartile range (IQR)4.075

Descriptive statistics

Standard deviation3.7311188
Coefficient of variation (CV)1.4481511
Kurtosis5.2285965
Mean2.5764706
Median Absolute Deviation (MAD)0.55
Skewness2.0698418
Sum87.6
Variance13.921248
MonotonicityNot monotonic
2024-04-18T16:53:42.718500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 17
50.0%
4.4 2
 
5.9%
2.0 2
 
5.9%
3.0 1
 
2.9%
2.5 1
 
2.9%
1.1 1
 
2.9%
3.7 1
 
2.9%
4.1 1
 
2.9%
7.8 1
 
2.9%
7.3 1
 
2.9%
Other values (6) 6
 
17.6%
ValueCountFrequency (%)
0.0 17
50.0%
1.1 1
 
2.9%
2.0 2
 
5.9%
2.5 1
 
2.9%
2.9 1
 
2.9%
3.0 1
 
2.9%
3.7 1
 
2.9%
4.0 1
 
2.9%
4.1 1
 
2.9%
4.4 2
 
5.9%
ValueCountFrequency (%)
16.6 1
2.9%
10.8 1
2.9%
7.8 1
2.9%
7.3 1
2.9%
5.8 1
2.9%
5.2 1
2.9%
4.4 2
5.9%
4.1 1
2.9%
4.0 1
2.9%
3.7 1
2.9%

최고속도(상행)
Categorical

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
75
15 
65
11 
0
3 
80
3 
50
2 

Length

Max length2
Median length2
Mean length1.9117647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row75
2nd row75
3rd row65
4th row0
5th row65

Common Values

ValueCountFrequency (%)
75 15
44.1%
65 11
32.4%
0 3
 
8.8%
80 3
 
8.8%
50 2
 
5.9%

Length

2024-04-18T16:53:42.843276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:42.952630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
75 15
44.1%
65 11
32.4%
0 3
 
8.8%
80 3
 
8.8%
50 2
 
5.9%

최고속도(하행)
Categorical

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
75
17 
65
7 
80
5 
0
3 
50
2 

Length

Max length2
Median length2
Mean length1.9117647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row75
2nd row75
3rd row50
4th row0
5th row75

Common Values

ValueCountFrequency (%)
75 17
50.0%
65 7
20.6%
80 5
 
14.7%
0 3
 
8.8%
50 2
 
5.9%

Length

2024-04-18T16:53:43.080927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:43.177829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
75 17
50.0%
65 7
20.6%
80 5
 
14.7%
0 3
 
8.8%
50 2
 
5.9%

평균속도
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.470588
Minimum0
Maximum46.6
Zeros3
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T16:53:43.269488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q136
median39.2
Q342.125
95-th percentile46.405
Maximum46.6
Range46.6
Interquartile range (IQR)6.125

Descriptive statistics

Standard deviation12.170892
Coefficient of variation (CV)0.33371802
Kurtosis5.5992058
Mean36.470588
Median Absolute Deviation (MAD)3.2
Skewness-2.4818027
Sum1240
Variance148.13062
MonotonicityNot monotonic
2024-04-18T16:53:43.378204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
36.0 6
17.6%
38.4 4
11.8%
0.0 3
8.8%
41.1 3
8.8%
45.0 3
8.8%
40.0 2
 
5.9%
40.5 2
 
5.9%
31.5 2
 
5.9%
38.1 2
 
5.9%
46.6 2
 
5.9%
Other values (5) 5
14.7%
ValueCountFrequency (%)
0.0 3
8.8%
31.5 2
 
5.9%
36.0 6
17.6%
38.1 2
 
5.9%
38.4 4
11.8%
40.0 2
 
5.9%
40.5 2
 
5.9%
41.1 3
8.8%
41.3 1
 
2.9%
42.4 1
 
2.9%
ValueCountFrequency (%)
46.6 2
5.9%
46.3 1
 
2.9%
45.5 1
 
2.9%
45.0 3
8.8%
43.2 1
 
2.9%
42.4 1
 
2.9%
41.3 1
 
2.9%
41.1 3
8.8%
40.5 2
5.9%
40.0 2
5.9%

회차키로
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
0.0
33 
0.6
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 33
97.1%
0.6 1
 
2.9%

Length

2024-04-18T16:53:43.478529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:53:43.567901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 33
97.1%
0.6 1
 
2.9%

측선여부
Boolean

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
29 
True
5 
ValueCountFrequency (%)
False 29
85.3%
True 5
 
14.7%
2024-04-18T16:53:43.641081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

승무교대여부
Boolean

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
24 
True
10 
ValueCountFrequency (%)
False 24
70.6%
True 10
29.4%
2024-04-18T16:53:43.719736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가동여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2024-04-18T16:53:43.791258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

역코드역종류역명승무소속㈜승무소속(부)상_하행별 정보(km)상행키로하행키로정차시간상행시간하행시간회차여부표준구배(오르막)표준구배(내리막)최고속도(상행)최고속도(하행)평균속도회차키로측선여부승무교대여부가동여부
0115일반역설화명곡월배승무부안심승무부-2.6750.01.2000:01:50Y3.03.0757540.00.0NYY
1116일반역화원월배승무부월배승무부-1.4533.01.30:00:250:01:500:01:50N2.02.0757541.30.0NNY
2117일반역대곡월배승무부월배승무부-0.191.31.00:00:250:01:500:01:40N9.00.0655036.00.0NYY
3100차량기지월배기지월배승무부월배승무부0.1790.00.0000N0.00.0000.00.0NYY
4118일반역진천월배승무부월배승무부0.841.00.80:00:250:01:400:01:10N15.00.0657541.10.0YYY
5119일반역월배월배승무부월배승무부1.590.80.70:00:250:01:100:01:10N4.70.0757536.00.0NNY
6120일반역상인월배승무부월배승무부2.340.70.90:00:250:01:100:01:20N12.20.0656540.50.0NNY
7121일반역월촌월배승무부월배승무부3.20.91.00:00:250:01:200:01:20N0.05.2808045.00.0NNY
8122일반역송현월배승무부월배승무부4.191.00.80:00:250:01:200:01:15N0.010.8757538.40.0NNY
9123일반역서부정류장월배승무부월배승무부5.040.80.80:00:250:01:150:01:15N8.70.0757538.40.0NNY
역코드역종류역명승무소속㈜승무소속(부)상_하행별 정보(km)상행키로하행키로정차시간상행시간하행시간회차여부표준구배(오르막)표준구배(내리막)최고속도(상행)최고속도(하행)평균속도회차키로측선여부승무교대여부가동여부
24138일반역동촌안심승무부안심승무부17.471.01.00:00:250:01:400:01:20N0.03.7757545.00.0NNY
25139일반역해안안심승무부안심승무부18.391.01.00:00:250:01:200:01:30N7.20.0657540.00.0NNY
26140일반역방촌월배승무부월배승무부19.441.01.10:00:250:01:300:01:25N1.00.0757546.60.0YYY
27141일반역용계안심승무부안심승무부20.541.11.20:00:250:01:250:01:40N7.80.0657543.20.0NNY
28142일반역율하안심승무부안심승무부21.761.21.10:00:250:01:400:01:25N0.01.1657546.60.0NNY
29143일반역신기안심승무부안심승무부22.791.11.00:00:250:01:250:01:25N0.00.0757542.40.0NNY
30144일반역반야월안심승무부안심승무부23.81.01.00:00:250:01:250:01:20N2.70.0757545.00.0NNY
31145일반역각산안심승무부안심승무부24.791.00.90:00:250:01:200:01:25N7.70.0757538.10.0NNY
32146일반역안심안심승무부안심승무부25.720.91.60:00:250:01:250:02:20Y0.00.0000.00.6YYY
33199차량기지안심기지안심승무부안심승무부26.720.00.0000N0.00.0000.00.0NYY