Overview

Dataset statistics

Number of variables13
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.9%
Total size in memory13.2 KiB
Average record size in memory116.1 B

Variable types

Categorical8
Numeric4
Text1

Dataset

Description대구교통공사 자동개집표기현황으로 역별로 운영하고 있는 개집표기 타입별 대수, 설치위치 방향 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3073007/fileData.do

Alerts

Dataset has 1 (0.9%) duplicate rowsDuplicates
역번호 is highly overall correlated with 호선 and 1 other fieldsHigh correlation
타입(2형) is highly overall correlated with 타입(3형) and 1 other fieldsHigh correlation
타입(3형) is highly overall correlated with 타입(2형) and 1 other fieldsHigh correlation
타입(4형) is highly overall correlated with 타입(2형) and 1 other fieldsHigh correlation
호선 is highly overall correlated with 역번호 and 1 other fieldsHigh correlation
타입(1형) is highly overall correlated with 타입(5형) and 1 other fieldsHigh correlation
타입(5형) is highly overall correlated with 타입(1형) and 1 other fieldsHigh correlation
타입(3-1형) is highly overall correlated with 타입(5형)High correlation
타입(3-2형) is highly overall correlated with 역번호 and 3 other fieldsHigh correlation
장애(6형) is highly overall correlated with 장애(7형)High correlation
장애(7형) is highly overall correlated with 타입(3-2형) and 1 other fieldsHigh correlation
타입(3-1형) is highly imbalanced (70.6%)Imbalance
타입(2형) has 74 (63.8%) zerosZeros
타입(3형) has 2 (1.7%) zerosZeros
타입(4형) has 69 (59.5%) zerosZeros

Reproduction

Analysis started2023-12-12 11:24:25.875973
Analysis finished2023-12-12 11:24:30.460733
Duration4.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

호선
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
53 
2
33 
3
30 

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 53
45.7%
2 33
28.4%
3 30
25.9%

Length

2023-12-12T20:24:30.554838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:30.735045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
45.7%
2 33
28.4%
3 30
25.9%

역번호
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.44828
Minimum115
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T20:24:30.908667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile119.75
Q1132
median219.5
Q3312.25
95-th percentile335.25
Maximum341
Range226
Interquartile range (IQR)180.25

Descriptive statistics

Standard deviation81.17446
Coefficient of variation (CV)0.38756328
Kurtosis-1.3971757
Mean209.44828
Median Absolute Deviation (MAD)88
Skewness0.37759565
Sum24296
Variance6589.293
MonotonicityIncreasing
2023-12-12T20:24:31.157996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131 4
 
3.4%
223 3
 
2.6%
143 2
 
1.7%
130 2
 
1.7%
220 2
 
1.7%
219 2
 
1.7%
145 2
 
1.7%
144 2
 
1.7%
142 2
 
1.7%
138 2
 
1.7%
Other values (81) 93
80.2%
ValueCountFrequency (%)
115 1
0.9%
116 1
0.9%
117 1
0.9%
118 1
0.9%
119 2
1.7%
120 1
0.9%
121 2
1.7%
122 2
1.7%
123 2
1.7%
124 1
0.9%
ValueCountFrequency (%)
341 1
0.9%
340 1
0.9%
339 1
0.9%
338 1
0.9%
337 1
0.9%
336 1
0.9%
335 1
0.9%
334 1
0.9%
333 1
0.9%
332 1
0.9%

역명
Text

Distinct88
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T20:24:31.653642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.0258621
Min length2

Characters and Unicode

Total characters699
Distinct characters111
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

Unique64 ?
Unique (%)55.2%

Sample

1st row설화명곡
2nd row화원
3rd row대 곡
4th row진 천
5th row월 배
ValueCountFrequency (%)
대 13
 
5.5%
월 10
 
4.3%
산 8
 
3.4%
촌 6
 
2.6%
로 6
 
2.6%
반 6
 
2.6%
신 5
 
2.1%
용 5
 
2.1%
당 5
 
2.1%
천 5
 
2.1%
Other values (98) 166
70.6%
2023-12-12T20:24:32.328807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
55.4%
대 19
 
2.7%
월 10
 
1.4%
구 10
 
1.4%
산 9
 
1.3%
성 8
 
1.1%
장 7
 
1.0%
원 7
 
1.0%
동 7
 
1.0%
촌 6
 
0.9%
Other values (101) 229
32.8%

Most occurring categories

ValueCountFrequency (%)
Space Separator 387
55.4%
Other Letter 312
44.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 19
 
6.1%
월 10
 
3.2%
구 10
 
3.2%
산 9
 
2.9%
성 8
 
2.6%
장 7
 
2.2%
원 7
 
2.2%
동 7
 
2.2%
촌 6
 
1.9%
로 6
 
1.9%
Other values (100) 223
71.5%
Space Separator
ValueCountFrequency (%)
387
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 387
55.4%
Hangul 312
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 19
 
6.1%
월 10
 
3.2%
구 10
 
3.2%
산 9
 
2.9%
성 8
 
2.6%
장 7
 
2.2%
원 7
 
2.2%
동 7
 
2.2%
촌 6
 
1.9%
로 6
 
1.9%
Other values (100) 223
71.5%
Common
ValueCountFrequency (%)
387
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 387
55.4%
Hangul 312
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
387
100.0%
Hangul
ValueCountFrequency (%)
대 19
 
6.1%
월 10
 
3.2%
구 10
 
3.2%
산 9
 
2.9%
성 8
 
2.6%
장 7
 
2.2%
원 7
 
2.2%
동 7
 
2.2%
촌 6
 
1.9%
로 6
 
1.9%
Other values (100) 223
71.5%

타입(1형)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
56 
2
46 
0
9 
4
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 56
48.3%
2 46
39.7%
0 9
 
7.8%
4 4
 
3.4%
3 1
 
0.9%

Length

2023-12-12T20:24:32.560735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:32.747049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
48.3%
2 46
39.7%
0 9
 
7.8%
4 4
 
3.4%
3 1
 
0.9%

타입(2형)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63793103
Minimum0
Maximum5
Zeros74
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T20:24:32.899956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.99910004
Coefficient of variation (CV)1.5661568
Kurtosis2.9992231
Mean0.63793103
Median Absolute Deviation (MAD)0
Skewness1.6874366
Sum74
Variance0.9982009
MonotonicityNot monotonic
2023-12-12T20:24:33.069883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 74
63.8%
2 19
 
16.4%
1 18
 
15.5%
3 3
 
2.6%
5 1
 
0.9%
4 1
 
0.9%
ValueCountFrequency (%)
0 74
63.8%
1 18
 
15.5%
2 19
 
16.4%
3 3
 
2.6%
4 1
 
0.9%
5 1
 
0.9%
ValueCountFrequency (%)
5 1
 
0.9%
4 1
 
0.9%
3 3
 
2.6%
2 19
 
16.4%
1 18
 
15.5%
0 74
63.8%

타입(3형)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4655172
Minimum0
Maximum8
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T20:24:33.242434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1679118
Coefficient of variation (CV)0.4736985
Kurtosis4.8364187
Mean2.4655172
Median Absolute Deviation (MAD)1
Skewness1.3509697
Sum286
Variance1.364018
MonotonicityNot monotonic
2023-12-12T20:24:33.446965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 44
37.9%
2 41
35.3%
1 18
15.5%
4 7
 
6.0%
6 3
 
2.6%
0 2
 
1.7%
8 1
 
0.9%
ValueCountFrequency (%)
0 2
 
1.7%
1 18
15.5%
2 41
35.3%
3 44
37.9%
4 7
 
6.0%
6 3
 
2.6%
8 1
 
0.9%
ValueCountFrequency (%)
8 1
 
0.9%
6 3
 
2.6%
4 7
 
6.0%
3 44
37.9%
2 41
35.3%
1 18
15.5%
0 2
 
1.7%

타입(4형)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0344828
Minimum0
Maximum8
Zeros69
Zeros (%)59.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T20:24:33.637252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.729192
Coefficient of variation (CV)1.6715523
Kurtosis4.7035892
Mean1.0344828
Median Absolute Deviation (MAD)0
Skewness2.1535373
Sum120
Variance2.9901049
MonotonicityNot monotonic
2023-12-12T20:24:33.862352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 69
59.5%
1 16
 
13.8%
2 16
 
13.8%
3 5
 
4.3%
5 3
 
2.6%
6 3
 
2.6%
4 2
 
1.7%
8 2
 
1.7%
ValueCountFrequency (%)
0 69
59.5%
1 16
 
13.8%
2 16
 
13.8%
3 5
 
4.3%
4 2
 
1.7%
5 3
 
2.6%
6 3
 
2.6%
8 2
 
1.7%
ValueCountFrequency (%)
8 2
 
1.7%
6 3
 
2.6%
5 3
 
2.6%
4 2
 
1.7%
3 5
 
4.3%
2 16
 
13.8%
1 16
 
13.8%
0 69
59.5%

타입(5형)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
61 
2
47 
4
 
4
0
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 61
52.6%
2 47
40.5%
4 4
 
3.4%
0 3
 
2.6%
3 1
 
0.9%

Length

2023-12-12T20:24:34.102343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:34.297169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 61
52.6%
2 47
40.5%
4 4
 
3.4%
0 3
 
2.6%
3 1
 
0.9%

타입(3-1형)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
110 
1
 
6

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 (%)
0 110
94.8%
1 6
 
5.2%

Length

2023-12-12T20:24:34.494653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:34.665033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 110
94.8%
1 6
 
5.2%

타입(3-2형)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
103 
1
13 

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 (%)
0 103
88.8%
1 13
 
11.2%

Length

2023-12-12T20:24:34.861711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:35.046705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 103
88.8%
1 13
 
11.2%

장애(6형)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
78 
2
20 
0
16 
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row3
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 78
67.2%
2 20
 
17.2%
0 16
 
13.8%
3 1
 
0.9%
4 1
 
0.9%

Length

2023-12-12T20:24:35.217487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:35.377878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
67.2%
2 20
 
17.2%
0 16
 
13.8%
3 1
 
0.9%
4 1
 
0.9%

장애(7형)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
71 
0
23 
2
20 
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row3
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 71
61.2%
0 23
 
19.8%
2 20
 
17.2%
3 1
 
0.9%
4 1
 
0.9%

Length

2023-12-12T20:24:35.576318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:35.714699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
61.2%
0 23
 
19.8%
2 20
 
17.2%
3 1
 
0.9%
4 1
 
0.9%

위치
Categorical

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
상/하행
76 
하행
18 
상행
18 
상/하행　
 
3
싱/하행
 
1

Length

Max length5
Median length4
Mean length3.4051724
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row하행
2nd row상/하행　
3rd row상/하행　
4th row상/하행
5th row상행

Common Values

ValueCountFrequency (%)
상/하행 76
65.5%
하행 18
 
15.5%
상행 18
 
15.5%
상/하행　 3
 
2.6%
싱/하행 1
 
0.9%

Length

2023-12-12T20:24:35.882908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:24:36.055427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상/하행 79
68.1%
하행 18
 
15.5%
상행 18
 
15.5%
싱/하행 1
 
0.9%

Interactions

2023-12-12T20:24:28.979939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:27.096874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:27.709447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:28.347869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:29.124917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:27.219954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:27.857467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:28.506692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:29.262265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:27.366638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:28.020912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:28.666400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:29.846124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:27.530172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:28.189420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:24:28.831100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:24:36.177697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선역번호역명타입(1형)타입(2형)타입(3형)타입(4형)타입(5형)타입(3-1형)타입(3-2형)장애(6형)장애(7형)위치
호선1.0001.0000.9830.4810.6980.5190.6220.3790.2300.3730.0880.2880.452
역번호1.0001.0000.9940.4420.6110.4710.5510.3660.5930.7860.0880.2140.400
역명0.9830.9941.0000.8600.9460.9810.9090.8851.0000.9250.0000.0000.000
타입(1형)0.4810.4420.8601.0000.0830.5980.5350.9870.0000.6840.3010.6540.000
타입(2형)0.6980.6110.9460.0831.0000.6000.8040.0000.0000.2400.3250.3520.000
타입(3형)0.5190.4710.9810.5980.6001.0000.5780.5740.0000.1910.1640.1850.000
타입(4형)0.6220.5510.9090.5350.8040.5781.0000.5130.0000.2200.3310.3740.000
타입(5형)0.3790.3660.8850.9870.0000.5740.5131.0000.5740.0000.5120.1840.000
타입(3-1형)0.2300.5931.0000.0000.0000.0000.0000.5741.0000.0000.3620.0080.000
타입(3-2형)0.3730.7860.9250.6840.2400.1910.2200.0000.0001.0000.1370.5190.149
장애(6형)0.0880.0880.0000.3010.3250.1640.3310.5120.3620.1371.0000.9950.193
장애(7형)0.2880.2140.0000.6540.3520.1850.3740.1840.0080.5190.9951.0000.269
위치0.4520.4000.0000.0000.0000.0000.0000.0000.0000.1490.1930.2691.000
2023-12-12T20:24:36.382936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선타입(1형)장애(7형)위치장애(6형)타입(3-2형)타입(3-1형)타입(5형)
호선1.0000.4110.2240.3790.0630.5890.3740.307
타입(1형)0.4111.0000.2950.0000.1150.8060.0000.835
장애(7형)0.2240.2951.0000.1020.8930.6210.0000.067
위치0.3790.0000.1021.0000.0710.1790.0000.000
장애(6형)0.0630.1150.8930.0711.0000.1640.4350.212
타입(3-2형)0.5890.8060.6210.1790.1641.0000.0000.000
타입(3-1형)0.3740.0000.0000.0000.4350.0001.0000.684
타입(5형)0.3070.8350.0670.0000.2120.0000.6841.000
2023-12-12T20:24:36.548627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역번호타입(2형)타입(3형)타입(4형)호선타입(1형)타입(5형)타입(3-1형)타입(3-2형)장애(6형)장애(7형)위치
역번호1.000-0.1640.228-0.1010.9870.3160.2560.4230.5800.0560.1440.283
타입(2형)-0.1641.000-0.5410.8550.3750.0520.0000.0000.1690.2250.2460.000
타입(3형)0.228-0.5411.000-0.5260.3990.4340.4120.0000.1980.1020.1160.000
타입(4형)-0.1010.855-0.5261.0000.4820.3590.3410.0000.1590.2060.2360.000
호선0.9870.3750.3990.4821.0000.4110.3070.3740.5890.0630.2240.379
타입(1형)0.3160.0520.4340.3590.4111.0000.8350.0000.8060.1150.2950.000
타입(5형)0.2560.0000.4120.3410.3070.8351.0000.6840.0000.2120.0670.000
타입(3-1형)0.4230.0000.0000.0000.3740.0000.6841.0000.0000.4350.0000.000
타입(3-2형)0.5800.1690.1980.1590.5890.8060.0000.0001.0000.1640.6210.179
장애(6형)0.0560.2250.1020.2060.0630.1150.2120.4350.1641.0000.8930.071
장애(7형)0.1440.2460.1160.2360.2240.2950.0670.0000.6210.8931.0000.102
위치0.2830.0000.0000.0000.3790.0000.0000.0000.1790.0710.1021.000

Missing values

2023-12-12T20:24:30.052873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:24:30.344236image/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

호선역번호역명타입(1형)타입(2형)타입(3형)타입(4형)타입(5형)타입(3-1형)타입(3-2형)장애(6형)장애(7형)위치
01115설화명곡103010033하행
11116화원103010011상/하행
21117대 곡112110022상/하행
31118진 천213120022상/하행
41119월 배103010011상행
51119월 배103010011하행
61120상 인223220022상/하행
71121월 촌202020011상/하행
81121월 촌202020000상/하행
91122송 현201020011상/하행
호선역번호역명타입(1형)타입(2형)타입(3형)타입(4형)타입(5형)타입(3-1형)타입(3-2형)장애(6형)장애(7형)위치
1063332건들바위003010110상/하행
1073333대 봉 교004010110상/하행
1083334수성시장003010110상/하행
1093335수성구민운동장003010110상/하행
1103336어린이회관103010011상/하행
1113337황 금103010011상/하행
1123338수 성 못104010011상/하행
1133339지 산103010022상/하행
1143340범 물103010022상/하행
1153341용 지103010022상/하행

Duplicate rows

Most frequently occurring

호선역번호역명타입(1형)타입(2형)타입(3형)타입(4형)타입(5형)타입(3-1형)타입(3-2형)장애(6형)장애(7형)위치# duplicates
01131중 앙 로203020011상/하행2