Overview

Dataset statistics

Number of variables8
Number of observations908
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.7%
Total size in memory59.5 KiB
Average record size in memory67.1 B

Variable types

Text2
Categorical2
Numeric3
DateTime1

Dataset

Description경기도 안산시 버스정보단말기 관련 데이터로 정류소명, 단말기종류, 유형, 위치(위도,경도), 설치년도 등의 정보를 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15105198/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 6 (0.7%) duplicate rowsDuplicates
설치년도 is highly overall correlated with 단말기종류High correlation
단말기종류 is highly overall correlated with 설치년도 and 1 other fieldsHigh correlation
유형 is highly overall correlated with 단말기종류High correlation
유형 is highly imbalanced (60.6%)Imbalance

Reproduction

Analysis started2024-04-17 17:48:27.783846
Analysis finished2024-04-17 17:48:29.017329
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정류소명
Text

Distinct669
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-18T02:48:29.162405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.6420705
Min length2

Characters and Unicode

Total characters6031
Distinct characters371
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

Unique465 ?
Unique (%)51.2%

Sample

1st row팔곡마을주공아파트
2nd row인정아파트앞
3rd row인정아파트
4th row와동행정복지센터
5th row능길초등학교건너편
ValueCountFrequency (%)
한양대입구 5
 
0.6%
안산문화예술의전당 4
 
0.4%
와동체육공원 4
 
0.4%
부곡초등학교 4
 
0.4%
정재초등학교 4
 
0.4%
안산역(도로변 4
 
0.4%
안산역 4
 
0.4%
강서고등학교 4
 
0.4%
동명아파트앞 4
 
0.4%
부곡중학교 3
 
0.3%
Other values (659) 868
95.6%
2024-04-18T02:48:29.704857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 175
 
2.9%
교 155
 
2.6%
학 137
 
2.3%
동 125
 
2.1%
산 109
 
1.8%
원 106
 
1.8%
아 100
 
1.7%
트 98
 
1.6%
1 97
 
1.6%
구 94
 
1.6%
Other values (361) 4835
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5671
94.0%
Decimal Number 227
 
3.8%
Other Punctuation 61
 
1.0%
Uppercase Letter 28
 
0.5%
Close Punctuation 18
 
0.3%
Open Punctuation 18
 
0.3%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 175
 
3.1%
교 155
 
2.7%
학 137
 
2.4%
동 125
 
2.2%
산 109
 
1.9%
원 106
 
1.9%
아 100
 
1.8%
트 98
 
1.7%
구 94
 
1.7%
단 94
 
1.7%
Other values (333) 4478
79.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
21.4%
A 3
10.7%
G 2
 
7.1%
D 2
 
7.1%
M 2
 
7.1%
E 2
 
7.1%
R 2
 
7.1%
I 2
 
7.1%
C 2
 
7.1%
N 1
 
3.6%
Other values (4) 4
14.3%
Decimal Number
ValueCountFrequency (%)
1 97
42.7%
2 46
20.3%
4 17
 
7.5%
5 16
 
7.0%
3 15
 
6.6%
7 11
 
4.8%
0 10
 
4.4%
9 7
 
3.1%
6 6
 
2.6%
8 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5671
94.0%
Common 324
 
5.4%
Latin 36
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 175
 
3.1%
교 155
 
2.7%
학 137
 
2.4%
동 125
 
2.2%
산 109
 
1.9%
원 106
 
1.9%
아 100
 
1.8%
트 98
 
1.7%
구 94
 
1.7%
단 94
 
1.7%
Other values (333) 4478
79.0%
Latin
ValueCountFrequency (%)
e 8
22.2%
S 6
16.7%
A 3
 
8.3%
G 2
 
5.6%
D 2
 
5.6%
M 2
 
5.6%
E 2
 
5.6%
R 2
 
5.6%
I 2
 
5.6%
C 2
 
5.6%
Other values (5) 5
13.9%
Common
ValueCountFrequency (%)
1 97
29.9%
. 61
18.8%
2 46
14.2%
) 18
 
5.6%
( 18
 
5.6%
4 17
 
5.2%
5 16
 
4.9%
3 15
 
4.6%
7 11
 
3.4%
0 10
 
3.1%
Other values (3) 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5671
94.0%
ASCII 360
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 175
 
3.1%
교 155
 
2.7%
학 137
 
2.4%
동 125
 
2.2%
산 109
 
1.9%
원 106
 
1.9%
아 100
 
1.8%
트 98
 
1.7%
구 94
 
1.7%
단 94
 
1.7%
Other values (333) 4478
79.0%
ASCII
ValueCountFrequency (%)
1 97
26.9%
. 61
16.9%
2 46
12.8%
) 18
 
5.0%
( 18
 
5.0%
4 17
 
4.7%
5 16
 
4.4%
3 15
 
4.2%
7 11
 
3.1%
0 10
 
2.8%
Other values (18) 51
14.2%

단말기종류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
LED Fullcolor
318 
LED 3color
306 
LCD 신규 단면형
197 
LCD 신규 양면형
33 
LED 알뜰 양면형
 
25
Other values (3)
 
29

Length

Max length18
Median length10
Mean length11.298458
Min length10

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowLED 3color
2nd rowLED 3color
3rd rowLED 3color
4th rowLED 3color
5th rowLED 3color

Common Values

ValueCountFrequency (%)
LED Fullcolor 318
35.0%
LED 3color 306
33.7%
LCD 신규 단면형 197
21.7%
LCD 신규 양면형 33
 
3.6%
LED 알뜰 양면형 25
 
2.8%
LED Fullcolor 독립쉘터 22
 
2.4%
LED Fullcolor 복합형 6
 
0.7%
LED Fullcolor 양면형 1
 
0.1%

Length

2024-04-18T02:48:29.814853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:48:29.904180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
led 678
32.3%
fullcolor 347
16.5%
3color 306
14.6%
lcd 230
 
11.0%
신규 230
 
11.0%
단면형 197
 
9.4%
양면형 59
 
2.8%
알뜰 25
 
1.2%
독립쉘터 22
 
1.0%
복합형 6
 
0.3%

유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
거치형
735 
독립형
118 
알뜰형
 
47
벽부형
 
7
양면형
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
거치형 735
80.9%
독립형 118
 
13.0%
알뜰형 47
 
5.2%
벽부형 7
 
0.8%
양면형 1
 
0.1%

Length

2024-04-18T02:48:29.999992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:48:30.072613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거치형 735
80.9%
독립형 118
 
13.0%
알뜰형 47
 
5.2%
벽부형 7
 
0.8%
양면형 1
 
0.1%

주소
Text

Distinct792
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-18T02:48:30.223571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length20.792952
Min length17

Characters and Unicode

Total characters18880
Distinct characters84
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique705 ?
Unique (%)77.6%

Sample

1st row경기도 안산시 상록구 팔곡이동 359-2
2nd row경기도 안산시 상록구 건건동 892-4
3rd row경기도 안산시 상록구 건건동 892-4
4th row경기도 안산시 단원구 와동 762
5th row경기도 안산시 단원구 신길동 403-1
ValueCountFrequency (%)
경기도 908
19.8%
안산시 908
19.8%
단원구 508
 
11.1%
상록구 400
 
8.7%
사동 109
 
2.4%
선부동 96
 
2.1%
고잔동 83
 
1.8%
본오동 66
 
1.4%
초지동 51
 
1.1%
와동 50
 
1.1%
Other values (797) 1399
30.6%
2024-04-18T02:48:30.509743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3711
19.7%
산 936
 
5.0%
시 930
 
4.9%
동 927
 
4.9%
안 918
 
4.9%
경 908
 
4.8%
구 908
 
4.8%
도 908
 
4.8%
기 908
 
4.8%
1 726
 
3.8%
Other values (74) 7100
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10867
57.6%
Space Separator 3711
 
19.7%
Decimal Number 3675
 
19.5%
Dash Punctuation 581
 
3.1%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 936
 
8.6%
시 930
 
8.6%
동 927
 
8.5%
안 918
 
8.4%
경 908
 
8.4%
구 908
 
8.4%
도 908
 
8.4%
기 908
 
8.4%
원 571
 
5.3%
단 508
 
4.7%
Other values (60) 2445
22.5%
Decimal Number
ValueCountFrequency (%)
1 726
19.8%
7 403
11.0%
6 397
10.8%
3 344
9.4%
2 341
9.3%
5 323
8.8%
8 322
8.8%
4 316
8.6%
0 255
 
6.9%
9 248
 
6.7%
Space Separator
ValueCountFrequency (%)
3711
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 581
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10867
57.6%
Common 8013
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 936
 
8.6%
시 930
 
8.6%
동 927
 
8.5%
안 918
 
8.4%
경 908
 
8.4%
구 908
 
8.4%
도 908
 
8.4%
기 908
 
8.4%
원 571
 
5.3%
단 508
 
4.7%
Other values (60) 2445
22.5%
Common
ValueCountFrequency (%)
3711
46.3%
1 726
 
9.1%
- 581
 
7.3%
7 403
 
5.0%
6 397
 
5.0%
3 344
 
4.3%
2 341
 
4.3%
5 323
 
4.0%
8 322
 
4.0%
4 316
 
3.9%
Other values (4) 549
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10867
57.6%
ASCII 8013
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3711
46.3%
1 726
 
9.1%
- 581
 
7.3%
7 403
 
5.0%
6 397
 
5.0%
3 344
 
4.3%
2 341
 
4.3%
5 323
 
4.0%
8 322
 
4.0%
4 316
 
3.9%
Other values (4) 549
 
6.9%
Hangul
ValueCountFrequency (%)
산 936
 
8.6%
시 930
 
8.6%
동 927
 
8.5%
안 918
 
8.4%
경 908
 
8.4%
구 908
 
8.4%
도 908
 
8.4%
기 908
 
8.4%
원 571
 
5.3%
단 508
 
4.7%
Other values (60) 2445
22.5%

위도
Real number (ℝ)

Distinct840
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.81511
Minimum126.55584
Maximum126.93187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-18T02:48:30.614509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55584
5-th percentile126.6253
Q1126.80133
median126.82825
Q3126.85383
95-th percentile126.87354
Maximum126.93187
Range0.37603
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.066384229
Coefficient of variation (CV)0.00052347255
Kurtosis5.5594741
Mean126.81511
Median Absolute Deviation (MAD)0.026595
Skewness-2.2440808
Sum115148.12
Variance0.0044068659
MonotonicityNot monotonic
2024-04-18T02:48:30.725154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.82718 3
 
0.3%
126.84432 3
 
0.3%
126.82179 3
 
0.3%
126.7888 2
 
0.2%
126.86424 2
 
0.2%
126.75272 2
 
0.2%
126.79683 2
 
0.2%
126.8578 2
 
0.2%
126.80336 2
 
0.2%
126.85017 2
 
0.2%
Other values (830) 885
97.5%
ValueCountFrequency (%)
126.55584 1
0.1%
126.5667 1
0.1%
126.56921 1
0.1%
126.56927 1
0.1%
126.56944 2
0.2%
126.56946 1
0.1%
126.56951 1
0.1%
126.56953 1
0.1%
126.56974 1
0.1%
126.57129 1
0.1%
ValueCountFrequency (%)
126.93187 1
0.1%
126.93186 1
0.1%
126.92501 1
0.1%
126.92481 1
0.1%
126.91961 1
0.1%
126.91925 1
0.1%
126.90718 1
0.1%
126.90685 1
0.1%
126.90653 1
0.1%
126.90637 1
0.1%

경도
Real number (ℝ)

Distinct840
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.3146
Minimum37.1942
Maximum37.36917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-18T02:48:30.839482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.1942
5-th percentile37.278757
Q137.301587
median37.31667
Q337.332403
95-th percentile37.347081
Maximum37.36917
Range0.17497
Interquartile range (IQR)0.030815

Descriptive statistics

Standard deviation0.024326291
Coefficient of variation (CV)0.00065192421
Kurtosis2.7145469
Mean37.3146
Median Absolute Deviation (MAD)0.01538
Skewness-1.1016493
Sum33881.656
Variance0.00059176843
MonotonicityNot monotonic
2024-04-18T02:48:30.961775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.30336 3
 
0.3%
37.31179 3
 
0.3%
37.33545 3
 
0.3%
37.32145 3
 
0.3%
37.33487 2
 
0.2%
37.32943 2
 
0.2%
37.29414 2
 
0.2%
37.33675 2
 
0.2%
37.30806 2
 
0.2%
37.33697 2
 
0.2%
Other values (830) 884
97.4%
ValueCountFrequency (%)
37.1942 1
0.1%
37.19435 1
0.1%
37.20662 1
0.1%
37.22172 1
0.1%
37.22635 1
0.1%
37.22913 1
0.1%
37.2324 1
0.1%
37.23273 1
0.1%
37.23305 1
0.1%
37.23578 1
0.1%
ValueCountFrequency (%)
37.36917 1
0.1%
37.36878 1
0.1%
37.36433 2
0.2%
37.36395 1
0.1%
37.36379 2
0.2%
37.36368 1
0.1%
37.3616 1
0.1%
37.36151 1
0.1%
37.36021 1
0.1%
37.36016 1
0.1%

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.2214
Minimum2009
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-18T02:48:31.102141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2009
Q12010
median2016
Q32019.25
95-th percentile2021
Maximum2022
Range13
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation4.5789058
Coefficient of variation (CV)0.0022721602
Kurtosis-1.6019101
Mean2015.2214
Median Absolute Deviation (MAD)4.5
Skewness-0.10890108
Sum1829821
Variance20.966379
MonotonicityNot monotonic
2024-04-18T02:48:31.195222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2010 168
18.5%
2018 144
15.9%
2021 144
15.9%
2009 122
13.4%
2020 71
7.8%
2013 70
7.7%
2019 61
 
6.7%
2015 40
 
4.4%
2014 30
 
3.3%
2017 18
 
2.0%
Other values (4) 40
 
4.4%
ValueCountFrequency (%)
2009 122
13.4%
2010 168
18.5%
2011 8
 
0.9%
2012 15
 
1.7%
2013 70
7.7%
2014 30
 
3.3%
2015 40
 
4.4%
2016 5
 
0.6%
2017 18
 
2.0%
2018 144
15.9%
ValueCountFrequency (%)
2022 12
 
1.3%
2021 144
15.9%
2020 71
7.8%
2019 61
6.7%
2018 144
15.9%
2017 18
 
2.0%
2016 5
 
0.6%
2015 40
 
4.4%
2014 30
 
3.3%
2013 70
7.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2022-08-23 00:00:00
Maximum2022-08-23 00:00:00
2024-04-18T02:48:31.269846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:31.334881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-18T02:48:28.620877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.139990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.389213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.705826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.226520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.469085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.784922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.308495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:48:28.545169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T02:48:31.397311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단말기종류유형위도경도설치년도
단말기종류1.0000.7010.2350.2130.801
유형0.7011.0000.2160.1010.606
위도0.2350.2161.0000.7840.259
경도0.2130.1010.7841.0000.324
설치년도0.8010.6060.2590.3241.000
2024-04-18T02:48:31.478709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형단말기종류
유형1.0000.529
단말기종류0.5291.000
2024-04-18T02:48:31.544787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치년도단말기종류유형
위도1.000-0.1050.0050.1170.126
경도-0.1051.000-0.0790.1030.042
설치년도0.005-0.0791.0000.5540.293
단말기종류0.1170.1030.5541.0000.529
유형0.1260.0420.2930.5291.000

Missing values

2024-04-18T02:48:28.880268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T02:48:28.976890image/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

정류소명단말기종류유형주소위도경도설치년도데이터기준일자
0팔곡마을주공아파트LED 3color거치형경기도 안산시 상록구 팔곡이동 359-2126.8878437.2967620092022-08-23
1인정아파트앞LED 3color거치형경기도 안산시 상록구 건건동 892-4126.9051137.3009820092022-08-23
2인정아파트LED 3color거치형경기도 안산시 상록구 건건동 892-4126.9065337.2998320092022-08-23
3와동행정복지센터LED 3color거치형경기도 안산시 단원구 와동 762126.8252937.3411620092022-08-23
4능길초등학교건너편LED 3color거치형경기도 안산시 단원구 신길동 403-1126.7640637.3341820092022-08-23
5현대2차.선경아파트LED 3color거치형경기도 안산시 상록구 사동 1343126.8525837.2909620092022-08-23
6고잔초등학교LED 3color거치형경기도 안산시 단원구 고잔동 575126.8263537.3248420092022-08-23
7고잔초등학교LED 3color거치형경기도 안산시 단원구 고잔동 581126.826637.3248120092022-08-23
8광성기업LED 3color독립형경기도 안산시 단원구 성곡동 662126.7416737.3247620092022-08-23
9중앙주공5단지LED 3color거치형경기도 안산시 단원구 고잔동 672-3126.837137.3220220092022-08-23
정류소명단말기종류유형주소위도경도설치년도데이터기준일자
898대부해양본부LCD 신규 단면형거치형경기도 안산시 단원구 대부북동 1973126.566737.2733920212022-08-23
899원일초.라프리모LCD 신규 단면형거치형경기도 안산시 단원구 선부동 1188-1126.8038937.3319120212022-08-23
900근린공원LCD 신규 단면형거치형경기도 안산시 단원구 성곡동 696126.7394437.3227420212022-08-23
901중앙역2번출구LCD 신규 양면형거치형경기도 안산시 단원구 고잔동 723126.8383837.3149720212022-08-23
902푸르지오에코LCD 신규 단면형거치형경기도 안산시 상록구 사동 1639-44126.8032437.3251520212022-08-23
903분지천앞LCD 신규 단면형거치형경기도 안산시 단원구 대부동동 755-6126.5976937.2415820212022-08-23
904안산고등학교LCD 신규 단면형독립형경기도 안산시 상록구 장상동 10-3126.8746437.3599320212022-08-23
905성포주공10단지LCD 신규 단면형거치형경기도 안산시 상록구 성포동 584126.8483937.3203720222022-08-23
906성동연립LCD 신규 단면형거치형경기도 안산시 단원구 선부동 964-2126.803437.3345720222022-08-23
907월피한양아파트LCD 신규 양면형거치형경기도 안산시 상록구 월피동 447126.8493337.3320720222022-08-23

Duplicate rows

Most frequently occurring

정류소명단말기종류유형주소위도경도설치년도데이터기준일자# duplicates
0고잔롯데캐슬골드파크LCD 신규 양면형거치형경기도 안산시 단원구 고잔동 852-1126.8271837.3214520212022-08-232
1고잔역1번출구LCD 신규 양면형거치형경기도 안산시 단원구 고잔동 289-48126.8240337.3170920212022-08-232
2상록수역2번출구건너편LCD 신규 양면형거치형경기도 안산시 상록구 일동 342-11126.8671837.3030620212022-08-232
3중앙초등학교앞LCD 신규 양면형거치형경기도 안산시 단원구 고잔동 673-1126.8377337.3209320212022-08-232
4초지역2번출구LCD 신규 양면형거치형경기도 안산시 단원구 초지동 803-6126.8054537.3218520212022-08-232
5한양대입구LCD 신규 양면형거치형경기도 안산시 상록구 사동 1212-5126.8443237.3033620192022-08-232