Overview

Dataset statistics

Number of variables21
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory182.4 B

Variable types

Numeric7
Categorical9
Text1
Boolean4

Dataset

Description대구도시철도 3호선 역별 구간정보로 역코드, 역종류, 역명, 승무소속, 상,하행별 km 및 시간, 표준구배, 최고속도 및 평균속도, 회차키로, 측선여부, 승무교대여부, 가동여부를 제공하고 있습니다.
Author대구교통공사
URLhttps://www.data.go.kr/data/15061797/fileData.do

Alerts

역종류 has constant value ""Constant
최고속도(상행) has constant value ""Constant
최고속도(하행) has constant value ""Constant
회차키로 has constant value ""Constant
측선여부 has constant value ""Constant
가동여부 has constant value ""Constant
정차시간 is highly imbalanced (78.9%)Imbalance
역코드 has unique valuesUnique
역명 has unique valuesUnique
상_하행별 정보(km) has unique valuesUnique
상행키로 has 1 (3.3%) zerosZeros
하행키로 has 1 (3.3%) zerosZeros
표준구배(오르막) has 7 (23.3%) zerosZeros
표준구배(내리막) has 11 (36.7%) zerosZeros
평균속도 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 20:39:49.052042
Analysis finished2023-12-12 20:39:49.260182
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

역코드
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.5
Minimum312
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:39:49.324510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum312
5-th percentile313.45
Q1319.25
median326.5
Q3333.75
95-th percentile339.55
Maximum341
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.026962966
Kurtosis-1.2
Mean326.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum9795
Variance77.5
MonotonicityStrictly increasing
2023-12-13T05:39:49.461379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
312 1
 
3.3%
328 1
 
3.3%
341 1
 
3.3%
340 1
 
3.3%
339 1
 
3.3%
338 1
 
3.3%
337 1
 
3.3%
336 1
 
3.3%
335 1
 
3.3%
334 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
312 1
3.3%
313 1
3.3%
314 1
3.3%
315 1
3.3%
316 1
3.3%
317 1
3.3%
318 1
3.3%
319 1
3.3%
320 1
3.3%
321 1
3.3%
ValueCountFrequency (%)
341 1
3.3%
340 1
3.3%
339 1
3.3%
338 1
3.3%
337 1
3.3%
336 1
3.3%
335 1
3.3%
334 1
3.3%
333 1
3.3%
332 1
3.3%

역종류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
일반역
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반역 30
100.0%

Length

2023-12-13T05:39:49.585988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:49.668988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반역 30
100.0%

역명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T05:39:49.836907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length3.1
Min length2

Characters and Unicode

Total characters93
Distinct characters57
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

Unique30 ?
Unique (%)100.0%

Sample

1st row칠곡경대병원
2nd row학정
3rd row팔거
4th row동천
5th row칠곡운암
ValueCountFrequency (%)
칠곡경대병원 1
 
3.3%
학정 1
 
3.3%
범물 1
 
3.3%
지산 1
 
3.3%
수성못 1
 
3.3%
황금 1
 
3.3%
어린이세상 1
 
3.3%
수성구민운동장 1
 
3.3%
수성시장 1
 
3.3%
대봉교 1
 
3.3%
Other values (20) 20
66.7%
2023-12-13T05:39:50.172684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 5
 
5.4%
성 4
 
4.3%
시 4
 
4.3%
대 3
 
3.2%
원 3
 
3.2%
수 3
 
3.2%
천 3
 
3.2%
구 3
 
3.2%
달 3
 
3.2%
팔 3
 
3.2%
Other values (47) 59
63.4%

Most occurring categories

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

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 5
 
5.5%
성 4
 
4.4%
시 4
 
4.4%
대 3
 
3.3%
원 3
 
3.3%
수 3
 
3.3%
천 3
 
3.3%
구 3
 
3.3%
달 3
 
3.3%
팔 3
 
3.3%
Other values (46) 57
62.6%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%

Most occurring scripts

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

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 5
 
5.5%
성 4
 
4.4%
시 4
 
4.4%
대 3
 
3.3%
원 3
 
3.3%
수 3
 
3.3%
천 3
 
3.3%
구 3
 
3.3%
달 3
 
3.3%
팔 3
 
3.3%
Other values (46) 57
62.6%
Common
ValueCountFrequency (%)
3 2
100.0%

Most occurring blocks

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

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 5
 
5.5%
성 4
 
4.4%
시 4
 
4.4%
대 3
 
3.3%
원 3
 
3.3%
수 3
 
3.3%
천 3
 
3.3%
구 3
 
3.3%
달 3
 
3.3%
팔 3
 
3.3%
Other values (46) 57
62.6%
ASCII
ValueCountFrequency (%)
3 2
100.0%

승무소속(주요)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
범물검사
16 
경전철검사
14 

Length

Max length5
Median length4
Mean length4.4666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
범물검사 16
53.3%
경전철검사 14
46.7%

Length

2023-12-13T05:39:50.328782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:50.452989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
범물검사 16
53.3%
경전철검사 14
46.7%

승무소속(부)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
범물검사
16 
경전철검사
14 

Length

Max length5
Median length4
Mean length4.4666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
범물검사 16
53.3%
경전철검사 14
46.7%

Length

2023-12-13T05:39:50.565971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:50.669008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
범물검사 16
53.3%
경전철검사 14
46.7%

상_하행별 정보(km)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.804633
Minimum0.363
Maximum23.482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:39:50.774827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.363
5-th percentile1.50275
Q16.067
median11.8875
Q317.269
95-th percentile22.4074
Maximum23.482
Range23.119
Interquartile range (IQR)11.202

Descriptive statistics

Standard deviation6.9566777
Coefficient of variation (CV)0.58931756
Kurtosis-1.143407
Mean11.804633
Median Absolute Deviation (MAD)5.8435
Skewness0.011144382
Sum354.139
Variance48.395365
MonotonicityStrictly increasing
2023-12-13T05:39:50.916777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.363 1
 
3.3%
13.033 1
 
3.3%
23.482 1
 
3.3%
22.807 1
 
3.3%
21.919 1
 
3.3%
20.793 1
 
3.3%
19.932 1
 
3.3%
19.257 1
 
3.3%
18.442 1
 
3.3%
17.488 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.363 1
3.3%
1.127 1
3.3%
1.962 1
3.3%
2.692 1
3.3%
3.42 1
3.3%
4.156 1
3.3%
4.881 1
3.3%
5.801 1
3.3%
6.865 1
3.3%
7.659 1
3.3%
ValueCountFrequency (%)
23.482 1
3.3%
22.807 1
3.3%
21.919 1
3.3%
20.793 1
3.3%
19.932 1
3.3%
19.257 1
3.3%
18.442 1
3.3%
17.488 1
3.3%
16.612 1
3.3%
16.004 1
3.3%

상행키로
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77
Minimum0
Maximum1.1
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:39:51.026534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q10.7
median0.8
Q30.9
95-th percentile1.055
Maximum1.1
Range1.1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.20367317
Coefficient of variation (CV)0.26451061
Kurtosis6.1529195
Mean0.77
Median Absolute Deviation (MAD)0.1
Skewness-1.6613301
Sum23.1
Variance0.041482759
MonotonicityNot monotonic
2023-12-13T05:39:51.150460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.9 9
30.0%
0.7 8
26.7%
0.6 5
16.7%
0.8 4
13.3%
1.1 2
 
6.7%
0.0 1
 
3.3%
1.0 1
 
3.3%
ValueCountFrequency (%)
0.0 1
 
3.3%
0.6 5
16.7%
0.7 8
26.7%
0.8 4
13.3%
0.9 9
30.0%
1.0 1
 
3.3%
1.1 2
 
6.7%
ValueCountFrequency (%)
1.1 2
 
6.7%
1.0 1
 
3.3%
0.9 9
30.0%
0.8 4
13.3%
0.7 8
26.7%
0.6 5
16.7%
0.0 1
 
3.3%

하행키로
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77
Minimum0
Maximum1.1
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:39:51.284739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q10.7
median0.8
Q30.9
95-th percentile1.055
Maximum1.1
Range1.1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.20367317
Coefficient of variation (CV)0.26451061
Kurtosis6.1529195
Mean0.77
Median Absolute Deviation (MAD)0.1
Skewness-1.6613301
Sum23.1
Variance0.041482759
MonotonicityNot monotonic
2023-12-13T05:39:51.441500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.9 9
30.0%
0.7 8
26.7%
0.6 5
16.7%
0.8 4
13.3%
1.1 2
 
6.7%
1.0 1
 
3.3%
0.0 1
 
3.3%
ValueCountFrequency (%)
0.0 1
 
3.3%
0.6 5
16.7%
0.7 8
26.7%
0.8 4
13.3%
0.9 9
30.0%
1.0 1
 
3.3%
1.1 2
 
6.7%
ValueCountFrequency (%)
1.1 2
 
6.7%
1.0 1
 
3.3%
0.9 9
30.0%
0.8 4
13.3%
0.7 8
26.7%
0.6 5
16.7%
0.0 1
 
3.3%

정차시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
00:00:25
29 
00:00:00
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row00:00:00
2nd row00:00:25
3rd row00:00:25
4th row00:00:25
5th row00:00:25

Common Values

ValueCountFrequency (%)
00:00:25 29
96.7%
00:00:00 1
 
3.3%

Length

2023-12-13T05:39:51.656769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:51.800046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:25 29
96.7%
00:00:00 1
 
3.3%

상행시간
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
00:01:10
5 
00:01:00
5 
00:01:05
4 
00:01:15
4 
00:01:35
4 
Other values (5)
8 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row00:00:00
2nd row00:01:10
3rd row00:01:10
4th row00:01:05
5th row00:01:05

Common Values

ValueCountFrequency (%)
00:01:10 5
16.7%
00:01:00 5
16.7%
00:01:05 4
13.3%
00:01:15 4
13.3%
00:01:35 4
13.3%
00:01:25 3
10.0%
00:01:20 2
 
6.7%
00:00:00 1
 
3.3%
00:01:40 1
 
3.3%
00:01:45 1
 
3.3%

Length

2023-12-13T05:39:51.972012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:52.159235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:01:10 5
16.7%
00:01:00 5
16.7%
00:01:05 4
13.3%
00:01:15 4
13.3%
00:01:35 4
13.3%
00:01:25 3
10.0%
00:01:20 2
 
6.7%
00:00:00 1
 
3.3%
00:01:40 1
 
3.3%
00:01:45 1
 
3.3%

하행시간
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
00:01:10
7 
00:01:00
6 
00:01:05
4 
00:01:15
4 
00:01:25
3 
Other values (5)
6 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row00:01:10
2nd row00:01:10
3rd row00:01:05
4th row00:01:05
5th row00:01:05

Common Values

ValueCountFrequency (%)
00:01:10 7
23.3%
00:01:00 6
20.0%
00:01:05 4
13.3%
00:01:15 4
13.3%
00:01:25 3
10.0%
00:01:20 2
 
6.7%
00:01:40 1
 
3.3%
00:01:35 1
 
3.3%
00:01:45 1
 
3.3%
00:00:00 1
 
3.3%

Length

2023-12-13T05:39:52.375468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:52.551144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:01:10 7
23.3%
00:01:00 6
20.0%
00:01:05 4
13.3%
00:01:15 4
13.3%
00:01:25 3
10.0%
00:01:20 2
 
6.7%
00:01:40 1
 
3.3%
00:01:35 1
 
3.3%
00:01:45 1
 
3.3%
00:00:00 1
 
3.3%

회차여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
26 
True
4 
ValueCountFrequency (%)
False 26
86.7%
True 4
 
13.3%
2023-12-13T05:39:52.680410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

표준구배(오르막)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.733333
Minimum0
Maximum38
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:39:52.802364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median13
Q319.75
95-th percentile30
Maximum38
Range38
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.814847
Coefficient of variation (CV)0.84933355
Kurtosis-0.65521887
Mean12.733333
Median Absolute Deviation (MAD)10
Skewness0.4356706
Sum382
Variance116.96092
MonotonicityNot monotonic
2023-12-13T05:39:52.958167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 7
23.3%
24 3
10.0%
16 3
10.0%
5 2
 
6.7%
12 2
 
6.7%
30 2
 
6.7%
3 1
 
3.3%
38 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 7
23.3%
2 1
 
3.3%
3 1
 
3.3%
5 2
 
6.7%
7 1
 
3.3%
9 1
 
3.3%
12 2
 
6.7%
14 1
 
3.3%
15 1
 
3.3%
16 3
10.0%
ValueCountFrequency (%)
38 1
 
3.3%
30 2
6.7%
24 3
10.0%
23 1
 
3.3%
20 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%
16 3
10.0%
15 1
 
3.3%
14 1
 
3.3%

표준구배(내리막)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.633333
Minimum0
Maximum44
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:39:53.103322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q315.75
95-th percentile30.2
Maximum44
Range44
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation11.391114
Coefficient of variation (CV)1.0712646
Kurtosis1.1262841
Mean10.633333
Median Absolute Deviation (MAD)10
Skewness1.134452
Sum319
Variance129.75747
MonotonicityNot monotonic
2023-12-13T05:39:53.225786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 11
36.7%
10 3
 
10.0%
13 2
 
6.7%
32 1
 
3.3%
44 1
 
3.3%
17 1
 
3.3%
20 1
 
3.3%
28 1
 
3.3%
6 1
 
3.3%
26 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 11
36.7%
4 1
 
3.3%
6 1
 
3.3%
9 1
 
3.3%
10 3
 
10.0%
11 1
 
3.3%
12 1
 
3.3%
13 2
 
6.7%
15 1
 
3.3%
16 1
 
3.3%
ValueCountFrequency (%)
44 1
3.3%
32 1
3.3%
28 1
3.3%
26 1
3.3%
23 1
3.3%
20 1
3.3%
17 1
3.3%
16 1
3.3%
15 1
3.3%
13 2
6.7%

최고속도(상행)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-13T05:39:53.734785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:53.891275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

최고속도(하행)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-13T05:39:54.015021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:54.150316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

평균속도
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.78
Minimum0
Maximum46.9
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:39:54.267258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.265
Q134.2
median37.05
Q340.5
95-th percentile45.88
Maximum46.9
Range46.9
Interquartile range (IQR)6.3

Descriptive statistics

Standard deviation8.0933519
Coefficient of variation (CV)0.22004763
Kurtosis15.071345
Mean36.78
Median Absolute Deviation (MAD)3.45
Skewness-3.2544047
Sum1103.4
Variance65.502345
MonotonicityNot monotonic
2023-12-13T05:39:54.400763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
36.0 7
23.3%
40.5 7
23.3%
33.2 5
16.7%
38.4 3
10.0%
45.0 2
 
6.7%
33.6 1
 
3.3%
46.6 1
 
3.3%
38.1 1
 
3.3%
46.9 1
 
3.3%
31.5 1
 
3.3%
ValueCountFrequency (%)
0.0 1
 
3.3%
31.5 1
 
3.3%
33.2 5
16.7%
33.6 1
 
3.3%
36.0 7
23.3%
38.1 1
 
3.3%
38.4 3
10.0%
40.5 7
23.3%
45.0 2
 
6.7%
46.6 1
 
3.3%
ValueCountFrequency (%)
46.9 1
 
3.3%
46.6 1
 
3.3%
45.0 2
 
6.7%
40.5 7
23.3%
38.4 3
10.0%
38.1 1
 
3.3%
36.0 7
23.3%
33.6 1
 
3.3%
33.2 5
16.7%
31.5 1
 
3.3%

회차키로
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-13T05:39:54.543110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:54.643158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

측선여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-13T05:39:54.725502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

승무교대여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
26 
True
4 
ValueCountFrequency (%)
False 26
86.7%
True 4
 
13.3%
2023-12-13T05:39:54.806726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가동여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2023-12-13T05:39:54.913948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

역코드역종류역명승무소속(주요)승무소속(부)상_하행별 정보(km)상행키로하행키로정차시간상행시간하행시간회차여부표준구배(오르막)표준구배(내리막)최고속도(상행)최고속도(하행)평균속도회차키로측선여부승무교대여부가동여부
0312일반역칠곡경대병원경전철검사경전철검사0.3630.00.800:00:0000:00:0000:01:10Y5320036.00NYY
1313일반역학정경전철검사경전철검사1.1270.80.800:00:2500:01:1000:01:10N2160038.40NNY
2314일반역팔거경전철검사경전철검사1.9620.80.700:00:2500:01:1000:01:05N090036.00NNY
3315일반역동천경전철검사경전철검사2.6920.70.700:00:2500:01:0500:01:05N0100036.00NNY
4316일반역칠곡운암경전철검사경전철검사3.420.70.700:00:2500:01:0500:01:05N040033.60NNY
5317일반역구암경전철검사경전철검사4.1560.70.700:00:2500:01:0500:01:05N5100036.00NNY
6318일반역태전경전철검사경전철검사4.8810.70.900:00:2500:01:0500:01:25N0130040.50NNY
7319일반역매천경전철검사경전철검사5.8010.91.100:00:2500:01:2500:01:40N12150046.60NNY
8320일반역매천시장경전철검사경전철검사6.8651.10.800:00:2500:01:4000:01:10N30230038.40NNY
9321일반역팔달경전철검사경전철검사7.6590.80.900:00:2500:01:1000:01:20N0110038.10NNY
역코드역종류역명승무소속(주요)승무소속(부)상_하행별 정보(km)상행키로하행키로정차시간상행시간하행시간회차여부표준구배(오르막)표준구배(내리막)최고속도(상행)최고속도(하행)평균속도회차키로측선여부승무교대여부가동여부
20332일반역건들바위범물검사범물검사16.0040.90.600:00:2500:01:3500:01:00N23100033.20NNY
21333일반역대봉교범물검사범물검사16.6120.60.900:00:2500:01:0000:01:15N16200040.50NNY
22334일반역수성시장범물검사범물검사17.4880.91.000:00:2500:01:1500:01:35N24170045.00NNY
23335일반역수성구민운동장범물검사범물검사18.4421.00.800:00:2500:01:3500:01:10N000038.40NNY
24336일반역어린이세상범물검사범물검사19.2570.80.700:00:2500:01:1000:01:00N1800036.00NNY
25337일반역황금범물검사범물검사19.9320.70.900:00:2500:01:0000:01:15N1600040.50NNY
26338일반역수성못범물검사범물검사20.7930.91.100:00:2500:01:1500:01:45N1900046.90NNY
27339일반역지산범물검사범물검사21.9191.10.900:00:2500:01:4500:01:15N3000040.50NNY
28340일반역범물범물검사범물검사22.8070.90.700:00:2500:01:1500:01:25N3800031.50NNY
29341일반역용지범물검사범물검사23.4820.70.000:00:2500:01:2500:00:00Y044000.00NYY