Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory752.0 KiB
Average record size in memory77.0 B

Variable types

Text2
Numeric5
DateTime1

Dataset

Description강원특별자치도 춘천시 버스정류장 노선정보 현황으로, 노선번호, 노선명, 노선별정류장순번, 정류장번호, 정류장명, 위도, 경도, 데이터기준일에 대한 자료입니다.
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15060075/fileData.do

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2024-03-15 01:16:22.151373
Analysis finished2024-03-15 01:16:31.304679
Duration9.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Text

Distinct216
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T10:16:31.956192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.8798
Min length1

Characters and Unicode

Total characters88798
Distinct characters56
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

Unique0 ?
Unique (%)0.0%

Sample

1st row사북1(사북101)
2nd row200-1
3rd row2-S
4th row신동3(신동302)
5th row남면1(남면103)
ValueCountFrequency (%)
남면1(남면103 104
 
1.0%
903(대학병원노선 102
 
1.0%
901(기점군자리 98
 
1.0%
905(대학병원노선 97
 
1.0%
남면3(남면303 96
 
1.0%
906(대학병원노선 95
 
0.9%
904(대학병원노선 92
 
0.9%
902(대학병원노선 91
 
0.9%
901(종점군자리 89
 
0.9%
15 88
 
0.9%
Other values (206) 9048
90.5%
2024-03-15T10:16:33.579577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9352
 
10.5%
0 8407
 
9.5%
( 8113
 
9.1%
) 8113
 
9.1%
2 5965
 
6.7%
3 5768
 
6.5%
동 5210
 
5.9%
면 4840
 
5.5%
산 4440
 
5.0%
남 3746
 
4.2%
Other values (46) 24844
28.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35703
40.2%
Other Letter 34159
38.5%
Open Punctuation 8113
 
9.1%
Close Punctuation 8113
 
9.1%
Dash Punctuation 2222
 
2.5%
Uppercase Letter 488
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5210
15.3%
면 4840
14.2%
산 4440
13.0%
남 3746
11.0%
북 2916
8.5%
신 2272
6.7%
서 2248
6.6%
내 1424
 
4.2%
사 1054
 
3.1%
학 477
 
1.4%
Other values (32) 5532
16.2%
Decimal Number
ValueCountFrequency (%)
1 9352
26.2%
0 8407
23.5%
2 5965
16.7%
3 5768
16.2%
4 2180
 
6.1%
5 1816
 
5.1%
9 734
 
2.1%
7 649
 
1.8%
6 575
 
1.6%
8 257
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 8113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2222
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 488
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54151
61.0%
Hangul 34159
38.5%
Latin 488
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5210
15.3%
면 4840
14.2%
산 4440
13.0%
남 3746
11.0%
북 2916
8.5%
신 2272
6.7%
서 2248
6.6%
내 1424
 
4.2%
사 1054
 
3.1%
학 477
 
1.4%
Other values (32) 5532
16.2%
Common
ValueCountFrequency (%)
1 9352
17.3%
0 8407
15.5%
( 8113
15.0%
) 8113
15.0%
2 5965
11.0%
3 5768
10.7%
- 2222
 
4.1%
4 2180
 
4.0%
5 1816
 
3.4%
9 734
 
1.4%
Other values (3) 1481
 
2.7%
Latin
ValueCountFrequency (%)
S 488
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54639
61.5%
Hangul 34159
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9352
17.1%
0 8407
15.4%
( 8113
14.8%
) 8113
14.8%
2 5965
10.9%
3 5768
10.6%
- 2222
 
4.1%
4 2180
 
4.0%
5 1816
 
3.3%
9 734
 
1.3%
Other values (4) 1969
 
3.6%
Hangul
ValueCountFrequency (%)
동 5210
15.3%
면 4840
14.2%
산 4440
13.0%
남 3746
11.0%
북 2916
8.5%
신 2272
6.7%
서 2248
6.6%
내 1424
 
4.2%
사 1054
 
3.1%
학 477
 
1.4%
Other values (32) 5532
16.2%

노선(ID)
Real number (ℝ)

Distinct216
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.500435 × 108
Minimum2.500001 × 108
Maximum2.500906 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:16:34.049563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.500001 × 108
5-th percentile2.500007 × 108
Q12.5005008 × 108
median2.5005141 × 108
Q32.500525 × 108
95-th percentile2.500901 × 108
Maximum2.500906 × 108
Range90500
Interquartile range (IQR)2428

Descriptive statistics

Standard deviation23817.824
Coefficient of variation (CV)9.5254721 × 10-5
Kurtosis0.043384826
Mean2.500435 × 108
Median Absolute Deviation (MAD)1202
Skewness-0.61619226
Sum2.500435 × 1012
Variance5.6728876 × 108
MonotonicityNot monotonic
2024-03-15T10:16:34.547121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250051702 104
 
1.0%
250090300 102
 
1.0%
250090101 98
 
1.0%
250090500 97
 
1.0%
250051902 96
 
1.0%
250090600 95
 
0.9%
250090400 92
 
0.9%
250090200 91
 
0.9%
250090100 89
 
0.9%
250001500 88
 
0.9%
Other values (206) 9048
90.5%
ValueCountFrequency (%)
250000100 67
0.7%
250000200 55
0.5%
250000201 59
0.6%
250000300 48
0.5%
250000301 42
0.4%
250000400 66
0.7%
250000401 65
0.7%
250000600 39
0.4%
250000700 66
0.7%
250000701 59
0.6%
ValueCountFrequency (%)
250090600 95
0.9%
250090500 97
1.0%
250090400 92
0.9%
250090300 102
1.0%
250090200 91
0.9%
250090101 98
1.0%
250090100 89
0.9%
250060101 6
 
0.1%
250060100 8
 
0.1%
250060009 6
 
0.1%

정류장순서
Real number (ℝ)

Distinct156
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.6032
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:16:35.035869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q118
median38
Q362
95-th percentile99
Maximum157
Range156
Interquartile range (IQR)44

Descriptive statistics

Standard deviation29.874949
Coefficient of variation (CV)0.70123722
Kurtosis0.12720244
Mean42.6032
Median Absolute Deviation (MAD)21
Skewness0.76467874
Sum426032
Variance892.5126
MonotonicityNot monotonic
2024-03-15T10:16:35.590804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 155
 
1.6%
9 152
 
1.5%
4 148
 
1.5%
2 146
 
1.5%
7 145
 
1.5%
3 145
 
1.5%
20 143
 
1.4%
1 141
 
1.4%
25 141
 
1.4%
33 141
 
1.4%
Other values (146) 8543
85.4%
ValueCountFrequency (%)
1 141
1.4%
2 146
1.5%
3 145
1.5%
4 148
1.5%
5 155
1.6%
6 136
1.4%
7 145
1.5%
8 141
1.4%
9 152
1.5%
10 135
1.4%
ValueCountFrequency (%)
157 1
< 0.1%
156 1
< 0.1%
155 1
< 0.1%
154 1
< 0.1%
153 1
< 0.1%
151 2
< 0.1%
150 1
< 0.1%
149 2
< 0.1%
148 1
< 0.1%
147 1
< 0.1%

정류장(ID)
Real number (ℝ)

Distinct1706
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5066706 × 108
Minimum2.5 × 108
Maximum2.6500078 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:16:36.222864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5 × 108
5-th percentile2.5000116 × 108
Q12.5000147 × 108
median2.5000188 × 108
Q32.5000223 × 108
95-th percentile2.5002715 × 108
Maximum2.6500078 × 108
Range15000778
Interquartile range (IQR)760

Descriptive statistics

Standard deviation2983216.2
Coefficient of variation (CV)0.01190111
Kurtosis18.098461
Mean2.5066706 × 108
Median Absolute Deviation (MAD)372.5
Skewness4.4409508
Sum2.5066706 × 1012
Variance8.8995792 × 1012
MonotonicityNot monotonic
2024-03-15T10:16:36.780964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250001202 103
 
1.0%
250001847 96
 
1.0%
250001349 67
 
0.7%
250001348 61
 
0.6%
250001848 55
 
0.5%
250002029 53
 
0.5%
250002028 53
 
0.5%
250027098 50
 
0.5%
250002027 46
 
0.5%
250001987 44
 
0.4%
Other values (1696) 9372
93.7%
ValueCountFrequency (%)
250000003 4
< 0.1%
250000004 6
0.1%
250000005 4
< 0.1%
250000006 1
 
< 0.1%
250000010 2
 
< 0.1%
250000011 9
0.1%
250000040 2
 
< 0.1%
250000041 2
 
< 0.1%
250000042 3
 
< 0.1%
250000138 1
 
< 0.1%
ValueCountFrequency (%)
265000781 1
 
< 0.1%
265000780 1
 
< 0.1%
265000779 1
 
< 0.1%
265000778 2
< 0.1%
265000777 1
 
< 0.1%
265000776 3
< 0.1%
265000775 4
< 0.1%
265000774 1
 
< 0.1%
265000773 1
 
< 0.1%
265000771 1
 
< 0.1%

정류장명
Text

Distinct924
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T10:16:38.154591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.0327
Min length2

Characters and Unicode

Total characters50327
Distinct characters395
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)0.6%

Sample

1st row마평
2nd row퇴계주공6차
3rd row중앙시장
4th row남춘천역
5th row발산치안센터
ValueCountFrequency (%)
중앙로입구 199
 
2.0%
모아엘가a 143
 
1.4%
방곡1리 91
 
0.9%
중앙시장입구 90
 
0.9%
명동입구 78
 
0.8%
춘천시보건소 67
 
0.7%
kbs방송국 65
 
0.7%
춘천초등학교 61
 
0.6%
시외버스터미널 61
 
0.6%
춘천농협 57
 
0.6%
Other values (914) 9088
90.9%
2024-03-15T10:16:39.769578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 3429
 
6.8%
구 1373
 
2.7%
입 1224
 
2.4%
교 1106
 
2.2%
1 1085
 
2.2%
동 1023
 
2.0%
원 1017
 
2.0%
2 950
 
1.9%
A 841
 
1.7%
천 831
 
1.7%
Other values (385) 37448
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46032
91.5%
Decimal Number 2887
 
5.7%
Uppercase Letter 1124
 
2.2%
Close Punctuation 99
 
0.2%
Open Punctuation 99
 
0.2%
Other Punctuation 85
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 3429
 
7.4%
구 1373
 
3.0%
입 1224
 
2.7%
교 1106
 
2.4%
동 1023
 
2.2%
원 1017
 
2.2%
천 831
 
1.8%
사 828
 
1.8%
지 769
 
1.7%
중 749
 
1.6%
Other values (362) 33683
73.2%
Decimal Number
ValueCountFrequency (%)
1 1085
37.6%
2 950
32.9%
3 543
18.8%
4 159
 
5.5%
5 44
 
1.5%
8 42
 
1.5%
6 20
 
0.7%
7 15
 
0.5%
9 15
 
0.5%
0 14
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
A 841
74.8%
K 95
 
8.5%
S 65
 
5.8%
B 65
 
5.8%
T 30
 
2.7%
M 24
 
2.1%
H 2
 
0.2%
L 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 82
96.5%
. 3
 
3.5%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46032
91.5%
Common 3170
 
6.3%
Latin 1125
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 3429
 
7.4%
구 1373
 
3.0%
입 1224
 
2.7%
교 1106
 
2.4%
동 1023
 
2.2%
원 1017
 
2.2%
천 831
 
1.8%
사 828
 
1.8%
지 769
 
1.7%
중 749
 
1.6%
Other values (362) 33683
73.2%
Common
ValueCountFrequency (%)
1 1085
34.2%
2 950
30.0%
3 543
17.1%
4 159
 
5.0%
) 99
 
3.1%
( 99
 
3.1%
/ 82
 
2.6%
5 44
 
1.4%
8 42
 
1.3%
6 20
 
0.6%
Other values (4) 47
 
1.5%
Latin
ValueCountFrequency (%)
A 841
74.8%
K 95
 
8.4%
S 65
 
5.8%
B 65
 
5.8%
T 30
 
2.7%
M 24
 
2.1%
H 2
 
0.2%
L 2
 
0.2%
e 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46032
91.5%
ASCII 4295
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 3429
 
7.4%
구 1373
 
3.0%
입 1224
 
2.7%
교 1106
 
2.4%
동 1023
 
2.2%
원 1017
 
2.2%
천 831
 
1.8%
사 828
 
1.8%
지 769
 
1.7%
중 749
 
1.6%
Other values (362) 33683
73.2%
ASCII
ValueCountFrequency (%)
1 1085
25.3%
2 950
22.1%
A 841
19.6%
3 543
12.6%
4 159
 
3.7%
) 99
 
2.3%
( 99
 
2.3%
K 95
 
2.2%
/ 82
 
1.9%
S 65
 
1.5%
Other values (13) 277
 
6.4%

경도
Real number (ℝ)

Distinct1632
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.71747
Minimum127.51237
Maximum127.90446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:16:40.290536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.51237
5-th percentile127.61404
Q1127.70363
median127.72473
Q3127.74857
95-th percentile127.78551
Maximum127.90446
Range0.39209
Interquartile range (IQR)0.0449425

Descriptive statistics

Standard deviation0.053755044
Coefficient of variation (CV)0.0004208903
Kurtosis1.5753936
Mean127.71747
Median Absolute Deviation (MAD)0.02344
Skewness-0.6752434
Sum1277174.7
Variance0.0028896047
MonotonicityNot monotonic
2024-03-15T10:16:40.794196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.72307 103
 
1.0%
127.72415 96
 
1.0%
127.72076 67
 
0.7%
127.72098 61
 
0.6%
127.7246 56
 
0.6%
127.72505 55
 
0.5%
127.7267 53
 
0.5%
127.72437 50
 
0.5%
127.72193 47
 
0.5%
127.72313 46
 
0.5%
Other values (1622) 9366
93.7%
ValueCountFrequency (%)
127.51237 2
 
< 0.1%
127.51241 4
< 0.1%
127.52203 4
< 0.1%
127.5222 4
< 0.1%
127.52918 5
0.1%
127.53396 4
< 0.1%
127.5341 4
< 0.1%
127.53776 3
< 0.1%
127.53872 4
< 0.1%
127.54383 2
 
< 0.1%
ValueCountFrequency (%)
127.90446 3
< 0.1%
127.90438 3
< 0.1%
127.90091 1
 
< 0.1%
127.8966 4
< 0.1%
127.89646 3
< 0.1%
127.89257 2
 
< 0.1%
127.89225 2
 
< 0.1%
127.89165 1
 
< 0.1%
127.88958 5
0.1%
127.88823 6
0.1%

위도
Real number (ℝ)

Distinct1642
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.862541
Minimum37.67548
Maximum38.05419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:16:41.209485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.67548
5-th percentile37.743505
Q137.83113
median37.8721
Q337.89519
95-th percentile37.960395
Maximum38.05419
Range0.37871
Interquartile range (IQR)0.06406

Descriptive statistics

Standard deviation0.062081606
Coefficient of variation (CV)0.0016396577
Kurtosis0.57446642
Mean37.862541
Median Absolute Deviation (MAD)0.03053
Skewness-0.22527753
Sum378625.41
Variance0.0038541258
MonotonicityNot monotonic
2024-03-15T10:16:41.674211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.87703 103
 
1.0%
37.87736 96
 
1.0%
37.87617 67
 
0.7%
37.87602 61
 
0.6%
37.87969 57
 
0.6%
37.87834 55
 
0.5%
37.87154 53
 
0.5%
37.87807 50
 
0.5%
37.8721 46
 
0.5%
37.87293 44
 
0.4%
Other values (1632) 9368
93.7%
ValueCountFrequency (%)
37.67548 1
 
< 0.1%
37.67705 2
 
< 0.1%
37.67723 3
< 0.1%
37.6787 2
 
< 0.1%
37.67881 2
 
< 0.1%
37.68115 4
< 0.1%
37.6812 6
0.1%
37.68233 2
 
< 0.1%
37.68236 1
 
< 0.1%
37.68238 1
 
< 0.1%
ValueCountFrequency (%)
38.05419 3
< 0.1%
38.05402 3
< 0.1%
38.05262 3
< 0.1%
38.05254 2
< 0.1%
38.05087 3
< 0.1%
38.05073 2
< 0.1%
38.05051 3
< 0.1%
38.05044 3
< 0.1%
38.04968 3
< 0.1%
38.0471 4
< 0.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-01-02 00:00:00
Maximum2024-01-02 00:00:00
2024-03-15T10:16:42.043140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:42.391704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T10:16:29.273264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:23.558971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:24.958966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:26.409795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:27.537546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:29.546481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:23.806774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:25.233359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:26.656605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:27.828017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:29.826626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:24.088653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:25.528424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:26.933941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:28.339776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:30.022838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:24.374381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:25.823765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:27.122100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:28.654866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:30.304425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:24.680575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:26.119411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:27.333944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:16:28.977807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:16:42.568290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선(ID)정류장순서정류장(ID)경도위도
노선(ID)1.0000.3060.0450.2130.307
정류장순서0.3061.0000.1290.3920.439
정류장(ID)0.0450.1291.0000.2840.753
경도0.2130.3920.2841.0000.743
위도0.3070.4390.7530.7431.000
2024-03-15T10:16:42.782794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선(ID)정류장순서정류장(ID)경도위도
노선(ID)1.0000.0570.0430.109-0.347
정류장순서0.0571.000-0.014-0.092-0.050
정류장(ID)0.043-0.0141.0000.0210.056
경도0.109-0.0920.0211.0000.246
위도-0.347-0.0500.0560.2461.000

Missing values

2024-03-15T10:16:30.685965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:16:31.123233image/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

노선번호노선(ID)정류장순서정류장(ID)정류장명경도위도데이터기준일
6080사북1(사북101)25005090062250001518마평127.6276138.002712024-01-02
3221200-125002000125250001316퇴계주공6차127.7411237.851192024-01-02
2422-S25000020168250001849중앙시장127.7254937.878412024-01-02
7969신동3(신동302)25005160164250026559남춘천역127.7233937.864062024-01-02
8448남면1(남면103)25005170246265000703발산치안센터127.6234637.738612024-01-02
268715250001500125250001564도민일보127.7431337.890172024-01-02
25941525000150032250002077시청입구127.7287437.879572024-01-02
10189남산3(남산302)25005220167250002028모아엘가A127.724637.871542024-01-02
243913-S25000130530250002115소양로1가127.7257637.891422024-01-02
9842남산2(남산202)25005210182250001077정족1리입구127.7313737.843252024-01-02
노선번호노선(ID)정류장순서정류장(ID)정류장명경도위도데이터기준일
25781525000150016250001237호반체육관127.7552637.865382024-01-02
11224동면1(동면103)25005250246250026628상걸2리127.8560137.854812024-01-02
4488서면1(서면103)25005030239250026634당림1리5반127.6055537.846012024-01-02
7997신동3(신동303)25005160221250026995정족1길127.7341237.828472024-01-02
8823남면2-1(남면202)25005180188250026671창촌2리입구127.645337.785112024-01-02
8331남면1(남면102)25005170153250001776가정1리127.5792737.731932024-01-02
12633동산4(동산403)25005300220250001939학곡리127.7600937.825632024-01-02
3854신북2(신북201)25005010053250002108소양초교127.7394337.905882024-01-02
12940동산5(동산503)25005300564250001940원창리입구127.7605437.826072024-01-02
14819904(대학병원노선)250090400107250001352춘천중학교127.7171837.874842024-01-02