Overview

Dataset statistics

Number of variables6
Number of observations3169
Missing cells1019
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory161.1 KiB
Average record size in memory52.0 B

Variable types

Numeric4
Text2

Dataset

Description창원시 관내 버스정류소의 ID, 정류소명, 방면, x,y좌표 데이터를 제공하오니, 버스 정류소 관련 자료가 필요하신 분들은 참고하시기 바랍니다.
URLhttps://www.data.go.kr/data/15037805/fileData.do

Alerts

방면 has 1018 (32.1%) missing valuesMissing
순번 has unique valuesUnique
X좌표 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:08:42.250551
Analysis finished2023-12-11 23:08:44.952806
Duration2.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct3169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1585
Minimum1
Maximum3169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-12-12T08:08:45.015269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile159.4
Q1793
median1585
Q32377
95-th percentile3010.6
Maximum3169
Range3168
Interquartile range (IQR)1584

Descriptive statistics

Standard deviation914.95583
Coefficient of variation (CV)0.5772592
Kurtosis-1.2
Mean1585
Median Absolute Deviation (MAD)792
Skewness0
Sum5022865
Variance837144.17
MonotonicityStrictly increasing
2023-12-12T08:08:45.142432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2106 1
 
< 0.1%
2108 1
 
< 0.1%
2109 1
 
< 0.1%
2110 1
 
< 0.1%
2111 1
 
< 0.1%
2112 1
 
< 0.1%
2113 1
 
< 0.1%
2114 1
 
< 0.1%
2115 1
 
< 0.1%
Other values (3159) 3159
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3169 1
< 0.1%
3168 1
< 0.1%
3167 1
< 0.1%
3166 1
< 0.1%
3165 1
< 0.1%
3164 1
< 0.1%
3163 1
< 0.1%
3162 1
< 0.1%
3161 1
< 0.1%
3160 1
< 0.1%

정류소 아이디
Real number (ℝ)

Distinct3162
Distinct (%)99.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean348090.73
Minimum0
Maximum640574
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-12-12T08:08:45.299576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile104621.35
Q1121501.75
median320712.5
Q3518103.25
95-th percentile640414.65
Maximum640574
Range640574
Interquartile range (IQR)396601.5

Descriptive statistics

Standard deviation189393.13
Coefficient of variation (CV)0.54409129
Kurtosis-1.2951081
Mean348090.73
Median Absolute Deviation (MAD)197418
Skewness0.17661611
Sum1.1027514 × 109
Variance3.5869759 × 1010
MonotonicityNot monotonic
2023-12-12T08:08:45.434287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
0.2%
401307 2
 
0.1%
630332 1
 
< 0.1%
514102 1
 
< 0.1%
513804 1
 
< 0.1%
513803 1
 
< 0.1%
513001 1
 
< 0.1%
513002 1
 
< 0.1%
503002 1
 
< 0.1%
503001 1
 
< 0.1%
Other values (3152) 3152
99.5%
ValueCountFrequency (%)
0 6
0.2%
100201 1
 
< 0.1%
100202 1
 
< 0.1%
100203 1
 
< 0.1%
100204 1
 
< 0.1%
100205 1
 
< 0.1%
100206 1
 
< 0.1%
100207 1
 
< 0.1%
100208 1
 
< 0.1%
100701 1
 
< 0.1%
ValueCountFrequency (%)
640574 1
< 0.1%
640573 1
< 0.1%
640572 1
< 0.1%
640571 1
< 0.1%
640570 1
< 0.1%
640569 1
< 0.1%
640568 1
< 0.1%
640567 1
< 0.1%
640566 1
< 0.1%
640565 1
< 0.1%

정류소명
Text

Distinct1730
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
2023-12-12T08:08:45.715762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.1344273
Min length2

Characters and Unicode

Total characters16271
Distinct characters478
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique436 ?
Unique (%)13.8%

Sample

1st row(주)에스에이치아이
2nd row(주)태광
3rd row(주)태광
4th row11부두
5th row1366경남센터
ValueCountFrequency (%)
마산시외버스터미널 7
 
0.2%
예곡 6
 
0.2%
어시장 6
 
0.2%
유니온빌리지 6
 
0.2%
신기 5
 
0.2%
약수터 5
 
0.2%
창원역 5
 
0.2%
이마트 5
 
0.2%
우성아파트 5
 
0.2%
장천동 4
 
0.1%
Other values (1728) 3141
98.3%
2023-12-12T08:08:46.185542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 545
 
3.3%
동 487
 
3.0%
을 404
 
2.5%
원 387
 
2.4%
아 364
 
2.2%
구 344
 
2.1%
트 337
 
2.1%
파 323
 
2.0%
산 300
 
1.8%
교 296
 
1.8%
Other values (468) 12484
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15655
96.2%
Decimal Number 235
 
1.4%
Uppercase Letter 182
 
1.1%
Other Punctuation 91
 
0.6%
Close Punctuation 38
 
0.2%
Open Punctuation 36
 
0.2%
Space Separator 26
 
0.2%
Other Symbol 6
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 545
 
3.5%
동 487
 
3.1%
을 404
 
2.6%
원 387
 
2.5%
아 364
 
2.3%
구 344
 
2.2%
트 337
 
2.2%
파 323
 
2.1%
산 300
 
1.9%
교 296
 
1.9%
Other values (432) 11868
75.8%
Uppercase Letter
ValueCountFrequency (%)
T 36
19.8%
S 24
13.2%
A 22
12.1%
P 17
9.3%
G 14
 
7.7%
L 11
 
6.0%
K 10
 
5.5%
X 10
 
5.5%
H 6
 
3.3%
C 6
 
3.3%
Other values (8) 26
14.3%
Decimal Number
ValueCountFrequency (%)
1 89
37.9%
2 57
24.3%
3 28
 
11.9%
4 16
 
6.8%
6 13
 
5.5%
9 9
 
3.8%
5 9
 
3.8%
8 8
 
3.4%
7 5
 
2.1%
0 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 85
93.4%
/ 4
 
4.4%
& 2
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15661
96.3%
Common 428
 
2.6%
Latin 182
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 545
 
3.5%
동 487
 
3.1%
을 404
 
2.6%
원 387
 
2.5%
아 364
 
2.3%
구 344
 
2.2%
트 337
 
2.2%
파 323
 
2.1%
산 300
 
1.9%
교 296
 
1.9%
Other values (433) 11874
75.8%
Latin
ValueCountFrequency (%)
T 36
19.8%
S 24
13.2%
A 22
12.1%
P 17
9.3%
G 14
 
7.7%
L 11
 
6.0%
K 10
 
5.5%
X 10
 
5.5%
H 6
 
3.3%
C 6
 
3.3%
Other values (8) 26
14.3%
Common
ValueCountFrequency (%)
1 89
20.8%
. 85
19.9%
2 57
13.3%
) 38
8.9%
( 36
8.4%
3 28
 
6.5%
26
 
6.1%
4 16
 
3.7%
6 13
 
3.0%
9 9
 
2.1%
Other values (7) 31
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15655
96.2%
ASCII 610
 
3.7%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 545
 
3.5%
동 487
 
3.1%
을 404
 
2.6%
원 387
 
2.5%
아 364
 
2.3%
구 344
 
2.2%
트 337
 
2.2%
파 323
 
2.1%
산 300
 
1.9%
교 296
 
1.9%
Other values (432) 11868
75.8%
ASCII
ValueCountFrequency (%)
1 89
14.6%
. 85
13.9%
2 57
 
9.3%
) 38
 
6.2%
( 36
 
5.9%
T 36
 
5.9%
3 28
 
4.6%
26
 
4.3%
S 24
 
3.9%
A 22
 
3.6%
Other values (25) 169
27.7%
None
ValueCountFrequency (%)
㈜ 6
100.0%

방면
Text

MISSING 

Distinct1223
Distinct (%)56.9%
Missing1018
Missing (%)32.1%
Memory size24.9 KiB
2023-12-12T08:08:46.412851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.8075314
Min length2

Characters and Unicode

Total characters16794
Distinct characters435
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique523 ?
Unique (%)24.3%

Sample

1st row월드메르디앙아파트 방면
2nd row감나무골 방면
3rd row문화방송 방면
4th row메트로시티석전 방면
5th row경남대학교 방면
ValueCountFrequency (%)
방면 2089
49.1%
종점 34
 
0.8%
회차 12
 
0.3%
앞 8
 
0.2%
롯데마트 6
 
0.1%
감나무골 6
 
0.1%
예곡 6
 
0.1%
문화동 5
 
0.1%
kt마산점 5
 
0.1%
경남도청 5
 
0.1%
Other values (1218) 2082
48.9%
2023-12-12T08:08:46.869786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
방 2127
 
12.7%
면 2124
 
12.6%
2107
 
12.5%
마 399
 
2.4%
동 335
 
2.0%
을 289
 
1.7%
원 250
 
1.5%
아 234
 
1.4%
구 220
 
1.3%
트 220
 
1.3%
Other values (425) 8489
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14428
85.9%
Space Separator 2107
 
12.5%
Decimal Number 121
 
0.7%
Uppercase Letter 74
 
0.4%
Other Punctuation 56
 
0.3%
Close Punctuation 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 2127
 
14.7%
면 2124
 
14.7%
마 399
 
2.8%
동 335
 
2.3%
을 289
 
2.0%
원 250
 
1.7%
아 234
 
1.6%
구 220
 
1.5%
트 220
 
1.5%
산 214
 
1.5%
Other values (392) 8016
55.6%
Uppercase Letter
ValueCountFrequency (%)
T 19
25.7%
S 11
14.9%
K 7
 
9.5%
A 7
 
9.5%
P 6
 
8.1%
X 5
 
6.8%
H 5
 
6.8%
L 5
 
6.8%
G 3
 
4.1%
D 2
 
2.7%
Other values (2) 4
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 45
37.2%
2 23
19.0%
3 18
 
14.9%
4 10
 
8.3%
6 6
 
5.0%
9 6
 
5.0%
5 5
 
4.1%
8 5
 
4.1%
7 2
 
1.7%
0 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 50
89.3%
, 3
 
5.4%
/ 1
 
1.8%
; 1
 
1.8%
& 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
2107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14428
85.9%
Common 2289
 
13.6%
Latin 77
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 2127
 
14.7%
면 2124
 
14.7%
마 399
 
2.8%
동 335
 
2.3%
을 289
 
2.0%
원 250
 
1.7%
아 234
 
1.6%
구 220
 
1.5%
트 220
 
1.5%
산 214
 
1.5%
Other values (392) 8016
55.6%
Common
ValueCountFrequency (%)
2107
92.0%
. 50
 
2.2%
1 45
 
2.0%
2 23
 
1.0%
3 18
 
0.8%
4 10
 
0.4%
6 6
 
0.3%
9 6
 
0.3%
5 5
 
0.2%
8 5
 
0.2%
Other values (8) 14
 
0.6%
Latin
ValueCountFrequency (%)
T 19
24.7%
S 11
14.3%
K 7
 
9.1%
A 7
 
9.1%
P 6
 
7.8%
X 5
 
6.5%
H 5
 
6.5%
L 5
 
6.5%
G 3
 
3.9%
D 2
 
2.6%
Other values (5) 7
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14428
85.9%
ASCII 2366
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
방 2127
 
14.7%
면 2124
 
14.7%
마 399
 
2.8%
동 335
 
2.3%
을 289
 
2.0%
원 250
 
1.7%
아 234
 
1.6%
구 220
 
1.5%
트 220
 
1.5%
산 214
 
1.5%
Other values (392) 8016
55.6%
ASCII
ValueCountFrequency (%)
2107
89.1%
. 50
 
2.1%
1 45
 
1.9%
2 23
 
1.0%
T 19
 
0.8%
3 18
 
0.8%
S 11
 
0.5%
4 10
 
0.4%
K 7
 
0.3%
A 7
 
0.3%
Other values (23) 69
 
2.9%

X좌표
Real number (ℝ)

UNIQUE 

Distinct3169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.6417
Minimum128.36996
Maximum128.93297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-12-12T08:08:47.040991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.36996
5-th percentile128.4505
Q1128.57024
median128.64123
Q3128.70499
95-th percentile128.84289
Maximum128.93297
Range0.56301331
Interquartile range (IQR)0.1347421

Descriptive statistics

Standard deviation0.1133166
Coefficient of variation (CV)0.00088086993
Kurtosis-0.18358139
Mean128.6417
Median Absolute Deviation (MAD)0.06635943
Skewness0.11234951
Sum407665.54
Variance0.012840653
MonotonicityNot monotonic
2023-12-12T08:08:47.217654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7657295 1
 
< 0.1%
128.814229 1
 
< 0.1%
128.7852552 1
 
< 0.1%
128.8099436 1
 
< 0.1%
128.8099264 1
 
< 0.1%
128.7934099 1
 
< 0.1%
128.7933091 1
 
< 0.1%
128.7499312 1
 
< 0.1%
128.7497744 1
 
< 0.1%
128.7876155 1
 
< 0.1%
Other values (3159) 3159
99.7%
ValueCountFrequency (%)
128.3699567 1
< 0.1%
128.3700704 1
< 0.1%
128.3701934 1
< 0.1%
128.37026483 1
< 0.1%
128.3703447 1
< 0.1%
128.37038618 1
< 0.1%
128.37111703 1
< 0.1%
128.37119528 1
< 0.1%
128.37160289 1
< 0.1%
128.37169958 1
< 0.1%
ValueCountFrequency (%)
128.93297001 1
< 0.1%
128.9329136 1
< 0.1%
128.93198663 1
< 0.1%
128.92912231 1
< 0.1%
128.92797469 1
< 0.1%
128.92601387 1
< 0.1%
128.92384081 1
< 0.1%
128.92341475 1
< 0.1%
128.92220334 1
< 0.1%
128.92140335 1
< 0.1%

Y좌표
Real number (ℝ)

Distinct3168
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.211355
Minimum35.059002
Maximum35.388209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-12-12T08:08:47.384604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.059002
5-th percentile35.093588
Q135.149908
median35.214335
Q335.257851
95-th percentile35.35102
Maximum35.388209
Range0.32920703
Interquartile range (IQR)0.10794271

Descriptive statistics

Standard deviation0.077024209
Coefficient of variation (CV)0.0021874821
Kurtosis-0.74288016
Mean35.211355
Median Absolute Deviation (MAD)0.0564252
Skewness0.13954857
Sum111584.79
Variance0.0059327288
MonotonicityNot monotonic
2023-12-12T08:08:47.539394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.15260143 2
 
0.1%
35.08684984 1
 
< 0.1%
35.11367648 1
 
< 0.1%
35.10034009 1
 
< 0.1%
35.11555287 1
 
< 0.1%
35.11567158 1
 
< 0.1%
35.11226784 1
 
< 0.1%
35.11223697 1
 
< 0.1%
35.08325374 1
 
< 0.1%
35.1110211 1
 
< 0.1%
Other values (3158) 3158
99.7%
ValueCountFrequency (%)
35.05900185 1
< 0.1%
35.06001085 1
< 0.1%
35.06003284 1
< 0.1%
35.06070516 1
< 0.1%
35.06081827 1
< 0.1%
35.06197504 1
< 0.1%
35.06206958 1
< 0.1%
35.06263599 1
< 0.1%
35.06280725 1
< 0.1%
35.06563931 1
< 0.1%
ValueCountFrequency (%)
35.38820888 1
< 0.1%
35.38813166 1
< 0.1%
35.38709482 1
< 0.1%
35.386742 1
< 0.1%
35.38589494 1
< 0.1%
35.38531334 1
< 0.1%
35.38518934 1
< 0.1%
35.38216583 1
< 0.1%
35.38206838 1
< 0.1%
35.3782202 1
< 0.1%

Interactions

2023-12-12T08:08:44.329809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:42.997159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.364480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.958626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:44.415374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.097165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.447807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:44.046090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:44.495895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.194251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.541788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:44.149155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:44.578684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.277419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:43.636837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:44.238580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:08:47.642740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번정류소 아이디X좌표Y좌표
순번1.0000.2310.3200.336
정류소 아이디0.2311.0000.7270.702
X좌표0.3200.7271.0000.667
Y좌표0.3360.7020.6671.000
2023-12-12T08:08:47.741788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번정류소 아이디X좌표Y좌표
순번1.0000.018-0.011-0.035
정류소 아이디0.0181.0000.264-0.379
X좌표-0.0110.2641.0000.041
Y좌표-0.035-0.3790.0411.000

Missing values

2023-12-12T08:08:44.715603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:08:44.837179image/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.
2023-12-12T08:08:44.913502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번정류소 아이디정류소명방면X좌표Y좌표
01630332(주)에스에이치아이<NA>128.76572935.08685
12630300(주)태광<NA>128.83148735.090638
23630301(주)태광<NA>128.83129835.090315
3463041811부두<NA>128.65598635.136814
451047101366경남센터월드메르디앙아파트 방면128.5986835.312734
561047091366경남센터감나무골 방면128.59859635.312917
674086083.15아트센터문화방송 방면128.577535.226388
784086073.15아트센터메트로시티석전 방면128.57846535.225979
89630333ENK<NA>128.770735.086883
910630354ENK/한진중공업<NA>128.76991435.085788
순번정류소 아이디정류소명방면X좌표Y좌표
31593160104721휴먼빌3차아파트무동입구 방면128.58250635.316183
31603161109501휴먼시아1단지<NA>128.66920735.252582
31613162103601휴먼시아2단지<NA>128.66794835.25144
31623163103602휴먼시아2단지입구<NA>128.66680935.250964
31633164119304흥한웰가아파트동정동갓골 방면128.6181935.264465
31643165119303흥한웰가아파트오성아파트 방면128.61795135.264309
31653166103103힐스테이트1차감계휴먼빌 방면128.59743935.302354
31663167103115힐스테이트3차힐스테이트4차 방면128.58780835.302336
31673168103106힐스테이트3차.천수림아파트덕산아내 방면128.5884235.302209
31683169103118힐스테이트4차푸르지오아파트 방면128.58629835.301693