Overview

Dataset statistics

Number of variables7
Number of observations413
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory60.3 B

Variable types

Numeric4
Text3

Dataset

Description안양시 관내 버스정류소에 설치된 버스정보안내단말기(BIT) 정류소명, 위치, 경위도 좌표 등 설치 현황 정보입니다.
Author경기도 안양시
URLhttps://www.data.go.kr/data/3079523/fileData.do

Alerts

정류장아이디(BUSSTATIONID) is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 정류장아이디(BUSSTATIONID) and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도High correlation
구분 has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:36:52.366861
Analysis finished2024-03-23 04:37:01.114441
Duration8.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207
Minimum1
Maximum413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-03-23T04:37:01.462376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.6
Q1104
median207
Q3310
95-th percentile392.4
Maximum413
Range412
Interquartile range (IQR)206

Descriptive statistics

Standard deviation119.36708
Coefficient of variation (CV)0.57665256
Kurtosis-1.2
Mean207
Median Absolute Deviation (MAD)103
Skewness0
Sum85491
Variance14248.5
MonotonicityStrictly increasing
2024-03-23T04:37:01.892902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
273 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
Other values (403) 403
97.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%

버스단말기아이디( BITID)
Text

Distinct411
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-23T04:37:03.025346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9830508
Min length5

Characters and Unicode

Total characters3710
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique409 ?
Unique (%)99.0%

Sample

1st rowBIT201613
2nd rowBITB00006
3rd rowBITB00005
4th rowBIT201402
5th rowBIT201607
ValueCountFrequency (%)
bitb00006 2
 
0.5%
bitb00005 2
 
0.5%
bit202226 1
 
0.2%
bits00003 1
 
0.2%
bit002004 1
 
0.2%
bit000040 1
 
0.2%
bit201303 1
 
0.2%
bitag0011 1
 
0.2%
bitag0001 1
 
0.2%
bit201703 1
 
0.2%
Other values (401) 401
97.1%
2024-03-23T04:37:04.484818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1184
31.9%
B 423
 
11.4%
T 417
 
11.2%
I 412
 
11.1%
2 355
 
9.6%
1 314
 
8.5%
3 118
 
3.2%
4 96
 
2.6%
6 62
 
1.7%
8 61
 
1.6%
Other values (16) 268
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2354
63.5%
Uppercase Letter 1352
36.4%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 423
31.3%
T 417
30.8%
I 412
30.5%
W 25
 
1.8%
G 22
 
1.6%
A 19
 
1.4%
S 13
 
1.0%
L 8
 
0.6%
H 8
 
0.6%
M 2
 
0.1%
Other values (3) 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 1184
50.3%
2 355
 
15.1%
1 314
 
13.3%
3 118
 
5.0%
4 96
 
4.1%
6 62
 
2.6%
8 61
 
2.6%
5 58
 
2.5%
7 54
 
2.3%
9 52
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
t 2
50.0%
e 1
25.0%
s 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2354
63.5%
Latin 1356
36.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 423
31.2%
T 417
30.8%
I 412
30.4%
W 25
 
1.8%
G 22
 
1.6%
A 19
 
1.4%
S 13
 
1.0%
L 8
 
0.6%
H 8
 
0.6%
M 2
 
0.1%
Other values (6) 7
 
0.5%
Common
ValueCountFrequency (%)
0 1184
50.3%
2 355
 
15.1%
1 314
 
13.3%
3 118
 
5.0%
4 96
 
4.1%
6 62
 
2.6%
8 61
 
2.6%
5 58
 
2.5%
7 54
 
2.3%
9 52
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1184
31.9%
B 423
 
11.4%
T 417
 
11.2%
I 412
 
11.1%
2 355
 
9.6%
1 314
 
8.5%
3 118
 
3.2%
4 96
 
2.6%
6 62
 
1.7%
8 61
 
1.6%
Other values (16) 268
 
7.2%

위치(LOCATION)
Text

Distinct400
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-23T04:37:05.268064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.8595642
Min length3

Characters and Unicode

Total characters3246
Distinct characters276
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)94.4%

Sample

1st row덕천초등학교_하
2nd row석수역(중)_상
3rd row석수역(중)_상
4th row석수역_하
5th row인덕원역1번출구
ValueCountFrequency (%)
석수역(중)_상 4
 
0.9%
진흥아파트 3
 
0.7%
안양아트센터_하 2
 
0.5%
대림lgapt(중)_상 2
 
0.5%
만안청소년수련관.태양철물 2
 
0.5%
새마을금고 2
 
0.5%
관악역_하 2
 
0.5%
경기게임마이스터고등학교 2
 
0.5%
대림lgapt(중)_하 2
 
0.5%
석수역(중)_하 2
 
0.5%
Other values (399) 399
94.5%
2024-03-23T04:37:06.635275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 326
 
10.0%
상 111
 
3.4%
하 108
 
3.3%
동 97
 
3.0%
안 78
 
2.4%
트 68
 
2.1%
교 66
 
2.0%
서 64
 
2.0%
아 61
 
1.9%
양 58
 
1.8%
Other values (266) 2209
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2679
82.5%
Connector Punctuation 326
 
10.0%
Uppercase Letter 83
 
2.6%
Close Punctuation 46
 
1.4%
Open Punctuation 46
 
1.4%
Decimal Number 38
 
1.2%
Other Punctuation 17
 
0.5%
Space Separator 9
 
0.3%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 111
 
4.1%
하 108
 
4.0%
동 97
 
3.6%
안 78
 
2.9%
트 68
 
2.5%
교 66
 
2.5%
서 64
 
2.4%
아 61
 
2.3%
양 58
 
2.2%
파 55
 
2.1%
Other values (240) 1913
71.4%
Uppercase Letter
ValueCountFrequency (%)
A 35
42.2%
L 11
 
13.3%
G 10
 
12.0%
T 9
 
10.8%
P 7
 
8.4%
C 2
 
2.4%
K 2
 
2.4%
S 2
 
2.4%
N 2
 
2.4%
V 1
 
1.2%
Other values (2) 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 14
36.8%
2 12
31.6%
3 4
 
10.5%
0 4
 
10.5%
4 3
 
7.9%
7 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 9
52.9%
, 8
47.1%
Connector Punctuation
ValueCountFrequency (%)
_ 326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2679
82.5%
Common 483
 
14.9%
Latin 84
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 111
 
4.1%
하 108
 
4.0%
동 97
 
3.6%
안 78
 
2.9%
트 68
 
2.5%
교 66
 
2.5%
서 64
 
2.4%
아 61
 
2.3%
양 58
 
2.2%
파 55
 
2.1%
Other values (240) 1913
71.4%
Common
ValueCountFrequency (%)
_ 326
67.5%
) 46
 
9.5%
( 46
 
9.5%
1 14
 
2.9%
2 12
 
2.5%
9
 
1.9%
. 9
 
1.9%
, 8
 
1.7%
3 4
 
0.8%
0 4
 
0.8%
Other values (3) 5
 
1.0%
Latin
ValueCountFrequency (%)
A 35
41.7%
L 11
 
13.1%
G 10
 
11.9%
T 9
 
10.7%
P 7
 
8.3%
C 2
 
2.4%
K 2
 
2.4%
S 2
 
2.4%
N 2
 
2.4%
e 1
 
1.2%
Other values (3) 3
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2679
82.5%
ASCII 567
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 326
57.5%
) 46
 
8.1%
( 46
 
8.1%
A 35
 
6.2%
1 14
 
2.5%
2 12
 
2.1%
L 11
 
1.9%
G 10
 
1.8%
9
 
1.6%
T 9
 
1.6%
Other values (16) 49
 
8.6%
Hangul
ValueCountFrequency (%)
상 111
 
4.1%
하 108
 
4.0%
동 97
 
3.6%
안 78
 
2.9%
트 68
 
2.5%
교 66
 
2.5%
서 64
 
2.4%
아 61
 
2.3%
양 58
 
2.2%
파 55
 
2.1%
Other values (240) 1913
71.4%

정류장아이디(BUSSTATIONID)
Real number (ℝ)

HIGH CORRELATION 

Distinct400
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0739604 × 108
Minimum1.1700002 × 108
Maximum2.2600014 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-03-23T04:37:07.180161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1700002 × 108
5-th percentile2.0800002 × 108
Q12.0800013 × 108
median2.0900002 × 108
Q32.0900013 × 108
95-th percentile2.0900033 × 108
Maximum2.2600014 × 108
Range1.0900012 × 108
Interquartile range (IQR)1000006

Descriptive statistics

Standard deviation11128391
Coefficient of variation (CV)0.053657683
Kurtosis61.385882
Mean2.0739604 × 108
Median Absolute Deviation (MAD)299
Skewness-7.7979557
Sum8.5654565 × 1010
Variance1.2384109 × 1014
MonotonicityNot monotonic
2024-03-23T04:37:07.992139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117000310 3
 
0.7%
117000015 3
 
0.7%
208000094 2
 
0.5%
208000028 2
 
0.5%
209000026 2
 
0.5%
209000031 2
 
0.5%
208000116 2
 
0.5%
209000090 2
 
0.5%
209000017 2
 
0.5%
208000037 2
 
0.5%
Other values (390) 391
94.7%
ValueCountFrequency (%)
117000015 3
0.7%
117000310 3
0.7%
208000001 1
 
0.2%
208000002 1
 
0.2%
208000003 1
 
0.2%
208000004 1
 
0.2%
208000005 1
 
0.2%
208000006 1
 
0.2%
208000007 1
 
0.2%
208000010 1
 
0.2%
ValueCountFrequency (%)
226000136 1
0.2%
226000135 1
0.2%
226000134 1
0.2%
225000158 1
0.2%
209507220 1
0.2%
209000401 1
0.2%
209000399 1
0.2%
209000396 1
0.2%
209000395 1
0.2%
209000393 1
0.2%

정류장 명칭(BUSSTATIONKORNAME)
Text

Distinct286
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-23T04:37:08.798968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.1622276
Min length2

Characters and Unicode

Total characters3371
Distinct characters276
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

Unique181 ?
Unique (%)43.8%

Sample

1st row덕천초등학교
2nd row석수역(중)
3rd row석수역(중)
4th row석수역
5th row인덕원역4호선
ValueCountFrequency (%)
석수역(중 8
 
1.9%
관악역 5
 
1.2%
인덕원역4호선 5
 
1.2%
대림.lg.힐스테이트아파트(중 4
 
1.0%
목련선경아파트 4
 
1.0%
진흥아파트 3
 
0.7%
성결대학.안양아트센터.명학역 3
 
0.7%
안양대교 3
 
0.7%
럭키아파트 3
 
0.7%
관양중학교 3
 
0.7%
Other values (276) 372
90.1%
2024-03-23T04:37:09.939839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 150
 
4.4%
트 149
 
4.4%
아 126
 
3.7%
파 119
 
3.5%
안 95
 
2.8%
교 86
 
2.6%
양 78
 
2.3%
원 75
 
2.2%
학 67
 
2.0%
지 58
 
1.7%
Other values (266) 2368
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3120
92.6%
Other Punctuation 150
 
4.4%
Decimal Number 42
 
1.2%
Uppercase Letter 29
 
0.9%
Close Punctuation 15
 
0.4%
Open Punctuation 15
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 149
 
4.8%
아 126
 
4.0%
파 119
 
3.8%
안 95
 
3.0%
교 86
 
2.8%
양 78
 
2.5%
원 75
 
2.4%
학 67
 
2.1%
지 58
 
1.9%
대 56
 
1.8%
Other values (250) 2211
70.9%
Uppercase Letter
ValueCountFrequency (%)
L 9
31.0%
G 7
24.1%
C 5
17.2%
K 3
 
10.3%
S 2
 
6.9%
B 1
 
3.4%
Y 1
 
3.4%
T 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 14
33.3%
2 13
31.0%
4 8
19.0%
3 5
 
11.9%
0 2
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3120
92.6%
Common 222
 
6.6%
Latin 29
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 149
 
4.8%
아 126
 
4.0%
파 119
 
3.8%
안 95
 
3.0%
교 86
 
2.8%
양 78
 
2.5%
원 75
 
2.4%
학 67
 
2.1%
지 58
 
1.9%
대 56
 
1.8%
Other values (250) 2211
70.9%
Common
ValueCountFrequency (%)
. 150
67.6%
) 15
 
6.8%
( 15
 
6.8%
1 14
 
6.3%
2 13
 
5.9%
4 8
 
3.6%
3 5
 
2.3%
0 2
 
0.9%
Latin
ValueCountFrequency (%)
L 9
31.0%
G 7
24.1%
C 5
17.2%
K 3
 
10.3%
S 2
 
6.9%
B 1
 
3.4%
Y 1
 
3.4%
T 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3120
92.6%
ASCII 251
 
7.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 150
59.8%
) 15
 
6.0%
( 15
 
6.0%
1 14
 
5.6%
2 13
 
5.2%
L 9
 
3.6%
4 8
 
3.2%
G 7
 
2.8%
C 5
 
2.0%
3 5
 
2.0%
Other values (6) 10
 
4.0%
Hangul
ValueCountFrequency (%)
트 149
 
4.8%
아 126
 
4.0%
파 119
 
3.8%
안 95
 
3.0%
교 86
 
2.8%
양 78
 
2.5%
원 75
 
2.4%
학 67
 
2.1%
지 58
 
1.9%
대 56
 
1.8%
Other values (250) 2211
70.9%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.38659
Minimum37.376
Maximum126.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-03-23T04:37:10.549232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.376
5-th percentile91.095
Q1126.914
median126.944
Q3126.959
95-th percentile126.972
Maximum126.98
Range89.604
Interquartile range (IQR)0.045

Descriptive statistics

Standard deviation19.695516
Coefficient of variation (CV)0.16092871
Kurtosis14.914635
Mean122.38659
Median Absolute Deviation (MAD)0.021
Skewness-4.1039494
Sum50545.661
Variance387.91333
MonotonicityNot monotonic
2024-03-23T04:37:11.151202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.903 12
 
2.9%
126.958 12
 
2.9%
126.962 10
 
2.4%
126.963 10
 
2.4%
126.954 9
 
2.2%
126.955 9
 
2.2%
126.968 9
 
2.2%
126.951 9
 
2.2%
126.908 9
 
2.2%
126.956 9
 
2.2%
Other values (94) 315
76.3%
ValueCountFrequency (%)
37.376 2
0.5%
37.377 1
 
0.2%
37.382 1
 
0.2%
37.383 2
0.5%
37.386 1
 
0.2%
37.388 3
0.7%
37.399 1
 
0.2%
37.4 1
 
0.2%
37.401 2
0.5%
37.408 1
 
0.2%
ValueCountFrequency (%)
126.98 2
 
0.5%
126.979 1
 
0.2%
126.978 2
 
0.5%
126.977 3
0.7%
126.976 4
1.0%
126.975 4
1.0%
126.974 2
 
0.5%
126.973 2
 
0.5%
126.972 6
1.5%
126.971 2
 
0.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.948102
Minimum37.363
Maximum126.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-03-23T04:37:11.660797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.363
5-th percentile37.371
Q137.387
median37.396
Q337.405
95-th percentile73.2234
Maximum126.97
Range89.607
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation19.692721
Coefficient of variation (CV)0.46945439
Kurtosis14.914671
Mean41.948102
Median Absolute Deviation (MAD)0.009
Skewness4.1039561
Sum17324.566
Variance387.80325
MonotonicityNot monotonic
2024-03-23T04:37:12.216936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.399 21
 
5.1%
37.397 16
 
3.9%
37.396 15
 
3.6%
37.395 13
 
3.1%
37.394 13
 
3.1%
37.385 13
 
3.1%
37.402 12
 
2.9%
37.398 12
 
2.9%
37.392 12
 
2.9%
37.401 12
 
2.9%
Other values (68) 274
66.3%
ValueCountFrequency (%)
37.363 3
0.7%
37.366 2
 
0.5%
37.367 3
0.7%
37.368 3
0.7%
37.369 2
 
0.5%
37.37 3
0.7%
37.371 6
1.5%
37.372 6
1.5%
37.373 3
0.7%
37.374 4
1.0%
ValueCountFrequency (%)
126.97 2
0.5%
126.965 1
0.2%
126.96 2
0.5%
126.932 1
0.2%
126.931 1
0.2%
126.928 2
0.5%
126.923 1
0.2%
126.919 1
0.2%
126.912 1
0.2%
126.911 2
0.5%

Interactions

2024-03-23T04:36:58.757371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:53.914573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:55.934150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:57.424275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:59.061676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:54.369548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:56.348262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:57.730168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:59.431468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:55.024824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:56.681393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:58.126372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:59.676073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:55.413050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:57.016783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:36:58.430734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:37:12.648486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분정류장아이디(BUSSTATIONID)경도위도
구분1.0000.2270.8470.847
정류장아이디(BUSSTATIONID)0.2271.0000.0000.000
경도0.8470.0001.0000.999
위도0.8470.0000.9991.000
2024-03-23T04:37:12.995510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분정류장아이디(BUSSTATIONID)경도위도
구분1.0000.084-0.1740.174
정류장아이디(BUSSTATIONID)0.0841.0000.699-0.399
경도-0.1740.6991.000-0.580
위도0.174-0.399-0.5801.000

Missing values

2024-03-23T04:37:00.193264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:37:00.789367image/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

구분버스단말기아이디( BITID)위치(LOCATION)정류장아이디(BUSSTATIONID)정류장 명칭(BUSSTATIONKORNAME)경도위도
01BIT201613덕천초등학교_하208000274덕천초등학교126.93637.393
12BITB00006석수역(중)_상208000037석수역(중)126.90337.434
23BITB00005석수역(중)_상208000037석수역(중)126.90337.434
34BIT201402석수역_하208000255석수역126.90237.434
45BIT201607인덕원역1번출구209000152인덕원역4호선126.97837.401
56BITLH0008관악초교후문_상209000248관악초등학교126.96837.408
67BIT002047샘 병원 앞_상208000055성결대학126.9337.382
78BIT001019삼봉마을_동208000164한일아파트.삼봉마을126.89837.402
89BIT0010733동성원A_동208000230성원아파트3동126.91437.395
910BIT000038중촌마을_서209000052중촌마을.동안치매안심센터126.96537.405
구분버스단말기아이디( BITID)위치(LOCATION)정류장아이디(BUSSTATIONID)정류장 명칭(BUSSTATIONKORNAME)경도위도
403404BIT202228충훈터널.석수도서관208000290충훈터널.석수도서관37.411126.906
404405BIT202229럭키아파트208000102럭키아파트37.408126.907
405406BIT202230안양대교208000103안양대교37.409126.911
406407BIT202231새마을금고208000011새마을금고37.412126.909
407408BIT202232만안구청209000286보건소.만안구청37.386126.932
408409BIT202233새중앙교회209000289새중앙교회37.388126.97
409410BIT202234꿈마을우성아파트209000290꿈마을우성아파트37.388126.97
410411BIT202235대안여자중학교209000310대안여자중학교37.376126.965
411412BIT202236일심교회.평촌트우엘파크209000319일심교회.평촌트우엘파크37.376126.96
412413BIT202237신기중학교209000323신기중학교37.377126.96