Overview

Dataset statistics

Number of variables13
Number of observations6001
Missing cells0
Missing cells (%)0.0%
Duplicate rows270
Duplicate rows (%)4.5%
Total size in memory638.9 KiB
Average record size in memory109.0 B

Variable types

Categorical4
DateTime2
Text3
Numeric4

Dataset

Description광주교통공사의 역사별 환승 데이터로 하차역명, 기준일자, 이전역명, 출구~정류장 소요시간, 버스노선, 정류장 번호, 환승시간, 하차역 코드, 호선, 하차위치~출구 소요시간, 출구 번호, 하차 위치, 이전역 코드 정보를 제공합니다.
Author광주교통공사
URLhttps://www.data.go.kr/data/15111491/fileData.do

Alerts

기준일자 has constant value ""Constant
호선 has constant value ""Constant
Dataset has 270 (4.5%) duplicate rowsDuplicates
하차위치 is highly overall correlated with 정류장 번호 and 4 other fieldsHigh correlation
이전역명 is highly overall correlated with 정류장 번호 and 4 other fieldsHigh correlation
정류장 번호 is highly overall correlated with 하차역 코드 and 4 other fieldsHigh correlation
하차역 코드 is highly overall correlated with 정류장 번호 and 4 other fieldsHigh correlation
이전역 코드 is highly overall correlated with 정류장 번호 and 4 other fieldsHigh correlation
하차역명 is highly overall correlated with 정류장 번호 and 4 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 03:07:11.115171
Analysis finished2023-12-12 03:07:15.791778
Duration4.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

하차역명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
농성역
1036 
남광주역
846 
돌고개역
800 
문화전당역
643 
금남로5가역
474 
Other values (15)
2202 

Length

Max length9
Median length8
Mean length4.4665889
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농성역 1036
17.3%
남광주역 846
14.1%
돌고개역 800
13.3%
문화전당역 643
10.7%
금남로5가역 474
7.9%
양동시장역 424
7.1%
학동증심사입구역 284
 
4.7%
김대중컨벤션센터역 240
 
4.0%
상무역 240
 
4.0%
쌍촌역 200
 
3.3%
Other values (10) 814
13.6%

Length

2023-12-12T12:07:15.877590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농성역 1036
17.3%
남광주역 846
14.1%
돌고개역 800
13.3%
문화전당역 643
10.7%
금남로5가역 474
7.9%
양동시장역 424
7.1%
학동증심사입구역 284
 
4.7%
김대중컨벤션센터역 240
 
4.0%
상무역 240
 
4.0%
쌍촌역 200
 
3.3%
Other values (10) 814
13.6%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
Minimum2022-12-30 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T12:07:16.020618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:16.139841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

이전역명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
학동증심사입구역
846 
남광주역
643 
화정역
618 
돌고개역
518 
금남로4가역
474 
Other values (13)
2902 

Length

Max length9
Median length8
Mean length4.8710215
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금남로5가역
2nd row금남로5가역
3rd row금남로5가역
4th row금남로5가역
5th row금남로5가역

Common Values

ValueCountFrequency (%)
학동증심사입구역 846
14.1%
남광주역 643
10.7%
화정역 618
10.3%
돌고개역 518
8.6%
금남로4가역 474
7.9%
금남로5가역 449
7.5%
농성역 428
7.1%
양동시장역 400
 
6.7%
소태역 318
 
5.3%
김대중컨벤션센터역 250
 
4.2%
Other values (8) 1057
17.6%

Length

2023-12-12T12:07:16.304253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
학동증심사입구역 846
14.1%
남광주역 643
10.7%
화정역 618
10.3%
돌고개역 518
8.6%
금남로4가역 474
7.9%
금남로5가역 449
7.5%
농성역 428
7.1%
양동시장역 400
 
6.7%
소태역 318
 
5.3%
김대중컨벤션센터역 250
 
4.2%
Other values (8) 1057
17.6%

출구-정류장 소요시간
Text

Distinct276
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
2023-12-12T12:07:16.760826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters30005
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row01:10
2nd row01:33
3rd row05:07
4th row03:10
5th row04:11
ValueCountFrequency (%)
03:23 81
 
1.3%
07:11 80
 
1.3%
05:07 80
 
1.3%
02:54 77
 
1.3%
03:10 73
 
1.2%
03:56 73
 
1.2%
06:09 70
 
1.2%
03:20 67
 
1.1%
03:31 64
 
1.1%
05:35 62
 
1.0%
Other values (266) 5274
87.9%
2023-12-12T12:07:17.406247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7704
25.7%
: 6001
20.0%
1 3076
 
10.3%
2 2560
 
8.5%
5 2502
 
8.3%
4 2334
 
7.8%
3 2307
 
7.7%
6 1151
 
3.8%
7 1093
 
3.6%
9 730
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24004
80.0%
Other Punctuation 6001
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7704
32.1%
1 3076
 
12.8%
2 2560
 
10.7%
5 2502
 
10.4%
4 2334
 
9.7%
3 2307
 
9.6%
6 1151
 
4.8%
7 1093
 
4.6%
9 730
 
3.0%
8 547
 
2.3%
Other Punctuation
ValueCountFrequency (%)
: 6001
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7704
25.7%
: 6001
20.0%
1 3076
 
10.3%
2 2560
 
8.5%
5 2502
 
8.3%
4 2334
 
7.8%
3 2307
 
7.7%
6 1151
 
3.8%
7 1093
 
3.6%
9 730
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7704
25.7%
: 6001
20.0%
1 3076
 
10.3%
2 2560
 
8.5%
5 2502
 
8.3%
4 2334
 
7.8%
3 2307
 
7.7%
6 1151
 
3.8%
7 1093
 
3.6%
9 730
 
2.4%

버스노선
Text

Distinct1027
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
2023-12-12T12:07:17.756497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length14.62023
Min length11

Characters and Unicode

Total characters87736
Distinct characters106
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)1.6%

Sample

1st row양동시장역_2165_진월79
2nd row양동시장역_2167_첨단30
3rd row양동시장역_2169_100
4th row양동시장역_2167_송암72
5th row양동시장역_2166_지원56
ValueCountFrequency (%)
224
 
3.4%
농성역 126
 
1.9%
2283 70
 
1.0%
36 42
 
0.6%
39 42
 
0.6%
2284 42
 
0.6%
광주 30
 
0.4%
농성역_2056_318 28
 
0.4%
농성역_2283_봉선37 28
 
0.4%
200-1 28
 
0.4%
Other values (1018) 6026
90.1%
2023-12-12T12:07:18.239717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 11796
 
13.4%
1 9362
 
10.7%
2 7163
 
8.2%
역 5999
 
6.8%
5 4285
 
4.9%
0 4047
 
4.6%
6 2934
 
3.3%
4 2858
 
3.3%
3 2490
 
2.8%
7 2294
 
2.6%
Other values (96) 34508
39.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39370
44.9%
Other Letter 35126
40.0%
Connector Punctuation 11796
 
13.4%
Space Separator 729
 
0.8%
Dash Punctuation 660
 
0.8%
Uppercase Letter 42
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 5999
 
17.1%
남 1539
 
4.4%
송 1178
 
3.4%
성 1036
 
2.9%
농 1036
 
2.9%
주 984
 
2.8%
원 897
 
2.6%
정 880
 
2.5%
광 880
 
2.5%
금 850
 
2.4%
Other values (78) 19847
56.5%
Decimal Number
ValueCountFrequency (%)
1 9362
23.8%
2 7163
18.2%
5 4285
10.9%
0 4047
10.3%
6 2934
 
7.5%
4 2858
 
7.3%
3 2490
 
6.3%
7 2294
 
5.8%
9 2091
 
5.3%
8 1846
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 30
71.4%
B 12
 
28.6%
Connector Punctuation
ValueCountFrequency (%)
_ 11796
100.0%
Space Separator
ValueCountFrequency (%)
729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 660
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52568
59.9%
Hangul 35126
40.0%
Latin 42
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 5999
 
17.1%
남 1539
 
4.4%
송 1178
 
3.4%
성 1036
 
2.9%
농 1036
 
2.9%
주 984
 
2.8%
원 897
 
2.6%
정 880
 
2.5%
광 880
 
2.5%
금 850
 
2.4%
Other values (78) 19847
56.5%
Common
ValueCountFrequency (%)
_ 11796
22.4%
1 9362
17.8%
2 7163
13.6%
5 4285
 
8.2%
0 4047
 
7.7%
6 2934
 
5.6%
4 2858
 
5.4%
3 2490
 
4.7%
7 2294
 
4.4%
9 2091
 
4.0%
Other values (6) 3248
 
6.2%
Latin
ValueCountFrequency (%)
A 30
71.4%
B 12
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52610
60.0%
Hangul 35126
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 11796
22.4%
1 9362
17.8%
2 7163
13.6%
5 4285
 
8.1%
0 4047
 
7.7%
6 2934
 
5.6%
4 2858
 
5.4%
3 2490
 
4.7%
7 2294
 
4.4%
9 2091
 
4.0%
Other values (8) 3290
 
6.3%
Hangul
ValueCountFrequency (%)
역 5999
 
17.1%
남 1539
 
4.4%
송 1178
 
3.4%
성 1036
 
2.9%
농 1036
 
2.9%
주 984
 
2.8%
원 897
 
2.6%
정 880
 
2.5%
광 880
 
2.5%
금 850
 
2.4%
Other values (78) 19847
56.5%

정류장 번호
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2192.0668
Minimum1041
Maximum5910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.9 KiB
2023-12-12T12:07:18.428618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1041
5-th percentile1083
Q11142
median2058
Q32283
95-th percentile5203
Maximum5910
Range4869
Interquartile range (IQR)1141

Descriptive statistics

Standard deviation1239.5273
Coefficient of variation (CV)0.56546055
Kurtosis1.3091275
Mean2192.0668
Median Absolute Deviation (MAD)901
Skewness1.4867933
Sum13154593
Variance1536427.9
MonotonicityNot monotonic
2023-12-12T12:07:18.639655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2284 280
 
4.7%
2283 238
 
4.0%
2057 196
 
3.3%
2056 196
 
3.3%
1141 189
 
3.1%
1142 189
 
3.1%
1139 180
 
3.0%
1045 162
 
2.7%
1146 144
 
2.4%
1147 144
 
2.4%
Other values (94) 4083
68.0%
ValueCountFrequency (%)
1041 54
 
0.9%
1044 66
1.1%
1045 162
2.7%
1082 16
 
0.3%
1083 18
 
0.3%
1095 15
 
0.2%
1096 17
 
0.3%
1098 16
 
0.3%
1099 18
 
0.3%
1110 90
1.5%
ValueCountFrequency (%)
5910 21
0.3%
5877 2
 
< 0.1%
5862 3
 
< 0.1%
5682 6
 
0.1%
5628 10
 
0.2%
5487 9
 
0.1%
5486 24
0.4%
5263 8
 
0.1%
5260 44
0.7%
5254 42
0.7%

환승시간
Text

Distinct387
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
2023-12-12T12:07:19.096232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters30005
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)0.5%

Sample

1st row03:26
2nd row03:49
3rd row07:56
4th row05:59
5th row06:27
ValueCountFrequency (%)
06:49 69
 
1.1%
07:42 64
 
1.1%
09:34 64
 
1.1%
05:47 63
 
1.0%
06:35 60
 
1.0%
06:19 57
 
0.9%
09:41 50
 
0.8%
07:55 49
 
0.8%
06:39 47
 
0.8%
05:15 44
 
0.7%
Other values (377) 5434
90.6%
2023-12-12T12:07:19.772126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6635
22.1%
: 6001
20.0%
1 2681
8.9%
4 2565
 
8.5%
5 2303
 
7.7%
3 2280
 
7.6%
6 1758
 
5.9%
2 1639
 
5.5%
7 1635
 
5.4%
9 1323
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24004
80.0%
Other Punctuation 6001
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6635
27.6%
1 2681
11.2%
4 2565
 
10.7%
5 2303
 
9.6%
3 2280
 
9.5%
6 1758
 
7.3%
2 1639
 
6.8%
7 1635
 
6.8%
9 1323
 
5.5%
8 1185
 
4.9%
Other Punctuation
ValueCountFrequency (%)
: 6001
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6635
22.1%
: 6001
20.0%
1 2681
8.9%
4 2565
 
8.5%
5 2303
 
7.7%
3 2280
 
7.6%
6 1758
 
5.9%
2 1639
 
5.5%
7 1635
 
5.4%
9 1323
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6635
22.1%
: 6001
20.0%
1 2681
8.9%
4 2565
 
8.5%
5 2303
 
7.7%
3 2280
 
7.6%
6 1758
 
5.9%
2 1639
 
5.5%
7 1635
 
5.4%
9 1323
 
4.4%

하차역 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.80453
Minimum100
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.9 KiB
2023-12-12T12:07:19.962836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile102
Q1104
median108
Q3109
95-th percentile116
Maximum119
Range19
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.302087
Coefficient of variation (CV)0.039906365
Kurtosis-0.28622168
Mean107.80453
Median Absolute Deviation (MAD)3
Skewness0.60494122
Sum646935
Variance18.507953
MonotonicityNot monotonic
2023-12-12T12:07:20.136306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
109 1036
17.3%
103 846
14.1%
108 800
13.3%
104 643
10.7%
106 474
7.9%
107 424
7.1%
102 284
 
4.7%
114 240
 
4.0%
113 240
 
4.0%
111 200
 
3.3%
Other values (10) 814
13.6%
ValueCountFrequency (%)
100 34
 
0.6%
101 66
 
1.1%
102 284
 
4.7%
103 846
14.1%
104 643
10.7%
105 29
 
0.5%
106 474
7.9%
107 424
7.1%
108 800
13.3%
109 1036
17.3%
ValueCountFrequency (%)
119 63
 
1.0%
118 54
 
0.9%
117 163
2.7%
116 163
2.7%
115 130
2.2%
114 240
4.0%
113 240
4.0%
112 56
 
0.9%
111 200
3.3%
110 56
 
0.9%

호선
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
1
6001 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6001
100.0%

Length

2023-12-12T12:07:20.343436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:20.459657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6001
100.0%

하차위치-출구 소요시간
Date

Distinct71
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
Minimum2023-12-12 00:24:00
Maximum2023-12-12 04:42:00
2023-12-12T12:07:20.599372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:20.832600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출구번호
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2256291
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.9 KiB
2023-12-12T12:07:20.995234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6876265
Coefficient of variation (CV)0.52319297
Kurtosis-0.84488149
Mean3.2256291
Median Absolute Deviation (MAD)1
Skewness0.32661407
Sum19357
Variance2.848083
MonotonicityNot monotonic
2023-12-12T12:07:21.136421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 1245
20.7%
1 1225
20.4%
3 1146
19.1%
2 1039
17.3%
6 610
10.2%
5 588
9.8%
7 148
 
2.5%
ValueCountFrequency (%)
1 1225
20.4%
2 1039
17.3%
3 1146
19.1%
4 1245
20.7%
5 588
9.8%
6 610
10.2%
7 148
 
2.5%
ValueCountFrequency (%)
7 148
 
2.5%
6 610
10.2%
5 588
9.8%
4 1245
20.7%
3 1146
19.1%
2 1039
17.3%
1 1225
20.4%

하차위치
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size47.0 KiB
4-2
1224 
4-1
1206 
3-3
846 
3-4
722 
1-2
664 
Other values (5)
1339 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4-2 1224
20.4%
4-1 1206
20.1%
3-3 846
14.1%
3-4 722
12.0%
1-2 664
11.1%
3-1 454
 
7.6%
2-3 374
 
6.2%
1-4 293
 
4.9%
2-1 148
 
2.5%
1-3 70
 
1.2%

Length

2023-12-12T12:07:21.289802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:07:21.448659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4-2 1224
20.4%
4-1 1206
20.1%
3-3 846
14.1%
3-4 722
12.0%
1-2 664
11.1%
3-1 454
 
7.6%
2-3 374
 
6.2%
1-4 293
 
4.9%
2-1 148
 
2.5%
1-3 70
 
1.2%

이전역 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.26712
Minimum100
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.9 KiB
2023-12-12T12:07:21.601612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile101
Q1103
median107
Q3110
95-th percentile116
Maximum118
Range18
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.5848447
Coefficient of variation (CV)0.042742311
Kurtosis-0.65213083
Mean107.26712
Median Absolute Deviation (MAD)4
Skewness0.4618999
Sum643710
Variance21.020801
MonotonicityNot monotonic
2023-12-12T12:07:21.774371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
102 846
14.1%
103 643
10.7%
110 618
10.3%
108 518
8.6%
105 474
7.9%
106 449
7.5%
109 428
7.1%
107 400
 
6.7%
101 318
 
5.3%
114 250
 
4.2%
Other values (8) 1057
17.6%
ValueCountFrequency (%)
100 66
 
1.1%
101 318
 
5.3%
102 846
14.1%
103 643
10.7%
104 4
 
0.1%
105 474
7.9%
106 449
7.5%
107 400
6.7%
108 518
8.6%
109 428
7.1%
ValueCountFrequency (%)
118 63
 
1.0%
117 217
 
3.6%
116 163
 
2.7%
114 250
4.2%
113 240
 
4.0%
112 220
 
3.7%
111 84
 
1.4%
110 618
10.3%
109 428
7.1%
108 518
8.6%

Interactions

2023-12-12T12:07:14.689455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:12.250314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:12.930599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:14.080069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:14.810879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:12.432250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:13.107843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:14.248038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:14.985067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:12.626838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:13.298337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:14.411845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:15.149045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:12.785866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:13.879543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:07:14.554075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:07:21.897642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
하차역명이전역명정류장 번호하차역 코드하차위치-출구 소요시간출구번호하차위치이전역 코드
하차역명1.0000.9870.9491.0000.9910.5300.9960.997
이전역명0.9871.0000.9790.9730.9920.4900.9851.000
정류장 번호0.9490.9791.0000.8600.9470.2350.7760.860
하차역 코드1.0000.9730.8601.0000.9890.3600.9580.972
하차위치-출구 소요시간0.9910.9920.9470.9891.0000.9790.9790.986
출구번호0.5300.4900.2350.3600.9791.0000.3560.384
하차위치0.9960.9850.7760.9580.9790.3561.0000.971
이전역 코드0.9971.0000.8600.9720.9860.3840.9711.000
2023-12-12T12:07:22.026865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
하차위치이전역명하차역명
하차위치1.0000.9210.893
이전역명0.9211.0000.881
하차역명0.8930.8811.000
2023-12-12T12:07:22.152588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정류장 번호하차역 코드출구번호이전역 코드하차역명이전역명하차위치
정류장 번호1.0000.733-0.0760.7220.8170.7980.553
하차역 코드0.7331.000-0.0380.9830.9990.8640.651
출구번호-0.076-0.0381.000-0.0520.2610.2430.189
이전역 코드0.7220.983-0.0521.0000.8950.9990.704
하차역명0.8170.9990.2610.8951.0000.8810.893
이전역명0.7980.8640.2430.9990.8811.0000.921
하차위치0.5530.6510.1890.7040.8930.9211.000

Missing values

2023-12-12T12:07:15.379228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:07:15.673576image/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

하차역명기준일자이전역명출구-정류장 소요시간버스노선정류장 번호환승시간하차역 코드호선하차위치-출구 소요시간출구번호하차위치이전역 코드
0양동시장역2022.12.30금남로5가역01:10양동시장역_2165_진월79216503:26107102:1641-2106
1양동시장역2022.12.30금남로5가역01:33양동시장역_2167_첨단30216703:49107102:1641-2106
2양동시장역2022.12.30금남로5가역05:07양동시장역_2169_100216907:56107102:4911-2106
3양동시장역2022.12.30금남로5가역03:10양동시장역_2167_송암72216705:59107102:4911-2106
4양동시장역2022.12.30금남로5가역04:11양동시장역_2166_지원56216606:27107102:1641-2106
5양동시장역2022.12.30금남로5가역01:33양동시장역_2167_송암31216704:24107102:5121-2106
6양동시장역2022.12.30금남로5가역01:03양동시장역_2167_금호36216703:15107102:1231-2106
7양동시장역2022.12.30금남로5가역03:10양동시장역_2167_마을760216705:59107102:4911-2106
8양동시장역2022.12.30금남로5가역02:19양동시장역_2169_용전84216904:35107102:1641-2106
9양동시장역2022.12.30금남로5가역01:33양동시장역_2167_마을760216704:24107102:5121-2106
하차역명기준일자이전역명출구-정류장 소요시간버스노선정류장 번호환승시간하차역 코드호선하차위치-출구 소요시간출구번호하차위치이전역 코드
5991화정역2022.12.30쌍촌역02:01화정역_2296_송정 19229603:53110101:5232-1111
5992화정역2022.12.30쌍촌역01:00화정역_2296_지원 56229602:51110101:5142-1111
5993화정역2022.12.30농성역01:07화정역_2282_송정 19228202:59110101:5243-4109
5994화정역2022.12.30쌍촌역02:00화정역_2296_지원 56229603:44110101:4412-1111
5995화정역2022.12.30쌍촌역02:00화정역_2296_송정 19229603:44110101:4412-1111
5996화정역2022.12.30농성역01:03화정역_2282_160228202:45110101:4223-4109
5997화정역2022.12.30쌍촌역01:01화정역_2282_160228201:45110101:4412-1111
5998화정역2022.12.30쌍촌역01:07화정역_2282_송정 19228202:58110101:5142-1111
5999화정역2022.12.30농성역01:07화정역_2282_지원56228202:59110101:5243-4109
6000화정역2022.12.30농성역01:05화정역_2282_160228202:58110101:5333-4109

Duplicate rows

Most frequently occurring

하차역명기준일자이전역명출구-정류장 소요시간버스노선정류장 번호환승시간하차역 코드호선하차위치-출구 소요시간출구번호하차위치이전역 코드# duplicates
24문화전당역2022.12.30남광주역05:27문화전당역_1045_금남59104509:41104104:1414-21033
37문화전당역2022.12.30남광주역06:09문화전당역_1045_금남59104510:24104104:1524-21033
50문화전당역2022.12.30남광주역09:51문화전당역_1045_금남59104513:15104103:2464-21033
63문화전당역2022.12.30남광주역10:14문화전당역_1045_금남59104513:47104103:3354-21033
76문화전당역2022.12.30남광주역11:22문화전당역_1045_금남59104514:51104103:2934-21033
89문화전당역2022.12.30남광주역12:23문화전당역_1045_금남59104515:41104103:1844-21033
0광주송정역2022.12.30송정공원역18:39송정공원역_5151_첨단40515120:11117101:3211-41162
1금남로4가역2022.12.30금남로5가역04:56금남로5가역_1112_문흥39111208:05105103:0934-11062
2금남로5가역2022.12.30금남로4가역03:20금남로5가역_4512_금호36451206:56106103:3653-41052
3금남로5가역2022.12.30금남로4가역03:35금남로5가역_4512_금호36451207:53106104:1813-41052