Overview

Dataset statistics

Number of variables13
Number of observations122
Missing cells366
Missing cells (%)23.1%
Duplicate rows3
Duplicate rows (%)2.5%
Total size in memory13.5 KiB
Average record size in memory113.1 B

Variable types

Numeric4
Unsupported3
Categorical6

Dataset

Description경기도_도로대장 전산화 시스템_전광표지
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YMOG96L1FDHNK4LZ1RNT34004904&infSeq=1

Alerts

Dataset has 3 (2.5%) duplicate rowsDuplicates
표시면 기술형식 is highly overall correlated with 노선번호 and 5 other fieldsHigh correlation
표출형식 is highly overall correlated with 입력일 and 4 other fieldsHigh correlation
노선번호 is highly overall correlated with 표시면 기술형식 and 2 other fieldsHigh correlation
구간번호 is highly overall correlated with 설치일자 and 1 other fieldsHigh correlation
입력일 is highly overall correlated with 표시면 기술형식 and 3 other fieldsHigh correlation
설치형식 is highly overall correlated with 표시면 기술형식 and 3 other fieldsHigh correlation
설치일자 is highly overall correlated with 노선번호 and 5 other fieldsHigh correlation
비고 is highly overall correlated with 노선번호 and 5 other fieldsHigh correlation
설치일자 is highly imbalanced (79.3%)Imbalance
비고 is highly imbalanced (52.6%)Imbalance
플래그 has 122 (100.0%) missing valuesMissing
공간경도 has 122 (100.0%) missing valuesMissing
공간위도 has 122 (100.0%) missing valuesMissing
플래그 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공간경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공간위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:26:57.274448
Analysis finished2023-12-10 22:26:59.349496
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.62295
Minimum23
Maximum387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:26:59.419250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile70.4
Q186
median320
Q3349.5
95-th percentile372
Maximum387
Range364
Interquartile range (IQR)263.5

Descriptive statistics

Standard deviation118.61594
Coefficient of variation (CV)0.45165869
Kurtosis-0.9958453
Mean262.62295
Median Absolute Deviation (MAD)43
Skewness-0.90156019
Sum32040
Variance14069.741
MonotonicityNot monotonic
2023-12-11T07:26:59.531091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
322 24
19.7%
82 15
12.3%
306 11
 
9.0%
364 9
 
7.4%
86 9
 
7.4%
363 6
 
4.9%
318 6
 
4.9%
372 6
 
4.9%
368 4
 
3.3%
325 4
 
3.3%
Other values (13) 28
23.0%
ValueCountFrequency (%)
23 2
 
1.6%
56 2
 
1.6%
57 1
 
0.8%
70 2
 
1.6%
78 3
 
2.5%
82 15
12.3%
86 9
7.4%
302 1
 
0.8%
305 2
 
1.6%
306 11
9.0%
ValueCountFrequency (%)
387 3
 
2.5%
372 6
 
4.9%
368 4
 
3.3%
364 9
 
7.4%
363 6
 
4.9%
356 2
 
1.6%
352 1
 
0.8%
342 2
 
1.6%
325 4
 
3.3%
322 24
19.7%

구간번호
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.204918
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:26:59.663032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile97
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation24.797673
Coefficient of variation (CV)2.2131062
Kurtosis8.8546754
Mean11.204918
Median Absolute Deviation (MAD)2
Skewness3.2535186
Sum1367
Variance614.9246
MonotonicityNot monotonic
2023-12-11T07:26:59.763787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 33
27.0%
1 24
19.7%
3 19
15.6%
4 10
 
8.2%
7 9
 
7.4%
6 7
 
5.7%
99 6
 
4.9%
8 5
 
4.1%
9 4
 
3.3%
97 3
 
2.5%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
1 24
19.7%
2 1
 
0.8%
3 19
15.6%
4 10
 
8.2%
5 33
27.0%
6 7
 
5.7%
7 9
 
7.4%
8 5
 
4.1%
9 4
 
3.3%
13 1
 
0.8%
ValueCountFrequency (%)
99 6
 
4.9%
97 3
 
2.5%
13 1
 
0.8%
9 4
 
3.3%
8 5
 
4.1%
7 9
 
7.4%
6 7
 
5.7%
5 33
27.0%
4 10
 
8.2%
3 19
15.6%

플래그
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

입력일
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20160654
Minimum20060909
Maximum20230129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:26:59.856998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060909
5-th percentile20120120
Q120130112
median20151230
Q320200972
95-th percentile20230129
Maximum20230129
Range169220
Interquartile range (IQR)70860

Descriptive statistics

Standard deviation42389.692
Coefficient of variation (CV)0.002102595
Kurtosis-0.56164669
Mean20160654
Median Absolute Deviation (MAD)30460
Skewness-0.05070411
Sum2.4595998 × 109
Variance1.796886 × 109
MonotonicityNot monotonic
2023-12-11T07:26:59.959139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20151230 24
19.7%
20130119 13
10.7%
20200225 11
9.0%
20230129 10
8.2%
20120120 10
8.2%
20130112 9
 
7.4%
20211206 9
 
7.4%
20201224 9
 
7.4%
20060909 5
 
4.1%
20120720 4
 
3.3%
Other values (10) 18
14.8%
ValueCountFrequency (%)
20060909 5
 
4.1%
20120120 10
8.2%
20120720 4
 
3.3%
20120820 1
 
0.8%
20121022 2
 
1.6%
20130111 3
 
2.5%
20130112 9
7.4%
20130119 13
10.7%
20150529 2
 
1.6%
20150715 2
 
1.6%
ValueCountFrequency (%)
20230129 10
8.2%
20221024 2
 
1.6%
20211206 9
 
7.4%
20201224 9
 
7.4%
20201221 1
 
0.8%
20200225 11
9.0%
20181231 1
 
0.8%
20181030 2
 
1.6%
20180630 2
 
1.6%
20151230 24
19.7%

위치?시점
Real number (ℝ)

Distinct117
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8263115
Minimum0.002
Maximum17.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T07:27:00.119249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.002
5-th percentile0.1543
Q11.65975
median4.9885
Q38.21175
95-th percentile15.8041
Maximum17.22
Range17.218
Interquartile range (IQR)6.552

Descriptive statistics

Standard deviation4.6709517
Coefficient of variation (CV)0.80169963
Kurtosis-0.20916546
Mean5.8263115
Median Absolute Deviation (MAD)3.295
Skewness0.76204813
Sum710.81
Variance21.81779
MonotonicityNot monotonic
2023-12-11T07:27:00.471669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.211 2
 
1.6%
4.047 2
 
1.6%
14.4 2
 
1.6%
4.116 2
 
1.6%
15.848 2
 
1.6%
0.322 1
 
0.8%
7.305 1
 
0.8%
0.154 1
 
0.8%
0.103 1
 
0.8%
0.017 1
 
0.8%
Other values (107) 107
87.7%
ValueCountFrequency (%)
0.002 1
0.8%
0.012 1
0.8%
0.017 1
0.8%
0.023 1
0.8%
0.103 1
0.8%
0.125 1
0.8%
0.154 1
0.8%
0.16 1
0.8%
0.178 1
0.8%
0.322 1
0.8%
ValueCountFrequency (%)
17.22 1
0.8%
17.089 1
0.8%
16.564 1
0.8%
16.398 1
0.8%
16.04 1
0.8%
15.848 2
1.6%
14.97 1
0.8%
14.472 1
0.8%
14.4 2
1.6%
14.045 1
0.8%

위치?방향
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
하행
56 
상행
54 
양방향
10 
중앙
 
2

Length

Max length3
Median length2
Mean length2.0819672
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하행 56
45.9%
상행 54
44.3%
양방향 10
 
8.2%
중앙 2
 
1.6%

Length

2023-12-11T07:27:00.600420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:00.715356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하행 56
45.9%
상행 54
44.3%
양방향 10
 
8.2%
중앙 2
 
1.6%

공간경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

공간위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

표시면 기술형식
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
발광형(LED)
61 
발광형(전구)
28 
기타
27 
<NA>
 
6

Length

Max length8
Median length7.5
Mean length6.2459016
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발광형(LED)
2nd row발광형(LED)
3rd row발광형(LED)
4th row발광형(LED)
5th row발광형(LED)

Common Values

ValueCountFrequency (%)
발광형(LED) 61
50.0%
발광형(전구) 28
23.0%
기타 27
22.1%
<NA> 6
 
4.9%

Length

2023-12-11T07:27:00.816974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:00.913425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발광형(led 61
50.0%
발광형(전구 28
23.0%
기타 27
22.1%
na 6
 
4.9%

표출형식
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
문자식
65 
기타
51 
<NA>
 
6

Length

Max length4
Median length3
Mean length2.6311475
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문자식 65
53.3%
기타 51
41.8%
<NA> 6
 
4.9%

Length

2023-12-11T07:27:01.029609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:01.143275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문자식 65
53.3%
기타 51
41.8%
na 6
 
4.9%

설치형식
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
29 
편지식
27 
단주식
24 
측주식
15 
현수식
15 
Other values (2)
12 

Length

Max length4
Median length3
Mean length3.204918
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row측주식
2nd row측주식
3rd row측주식
4th row현수식
5th row현수식

Common Values

ValueCountFrequency (%)
<NA> 29
23.8%
편지식 27
22.1%
단주식 24
19.7%
측주식 15
12.3%
현수식 15
12.3%
부착식 8
 
6.6%
기타 4
 
3.3%

Length

2023-12-11T07:27:01.265083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:01.395018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
23.8%
편지식 27
22.1%
단주식 24
19.7%
측주식 15
12.3%
현수식 15
12.3%
부착식 8
 
6.6%
기타 4
 
3.3%

설치일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
114 
20221024
 
2
20180719
 
2
20150603
 
2
2018
 
2

Length

Max length8
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20221024
5th row20221024

Common Values

ValueCountFrequency (%)
<NA> 114
93.4%
20221024 2
 
1.6%
20180719 2
 
1.6%
20150603 2
 
1.6%
2018 2
 
1.6%

Length

2023-12-11T07:27:01.559899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:01.679493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
93.4%
20221024 2
 
1.6%
20180719 2
 
1.6%
20150603 2
 
1.6%
2018 2
 
1.6%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
84 
경찰사이렌
14 
CCTV
11 
안전운행
 
4
교통약자안내전광판
 
2
Other values (7)
 
7

Length

Max length19
Median length4
Mean length4.4836066
Min length4

Unique

Unique7 ?
Unique (%)5.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 84
68.9%
경찰사이렌 14
 
11.5%
CCTV 11
 
9.0%
안전운행 4
 
3.3%
교통약자안내전광판 2
 
1.6%
방범용 CCTV 24시간 녹화 1
 
0.8%
로터리주차장5m, 중앙주차장315m 1
 
0.8%
CCTV감시지역 1
 
0.8%
전방신호준수 1
 
0.8%
미끄럼주의 1
 
0.8%
Other values (2) 2
 
1.6%

Length

2023-12-11T07:27:01.794261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 84
66.7%
경찰사이렌 14
 
11.1%
cctv 12
 
9.5%
안전운행 4
 
3.2%
교통약자안내전광판 2
 
1.6%
방범용 1
 
0.8%
24시간 1
 
0.8%
녹화 1
 
0.8%
로터리주차장5m 1
 
0.8%
중앙주차장315m 1
 
0.8%
Other values (5) 5
 
4.0%

Interactions

2023-12-11T07:26:58.770977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:57.729770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.044624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.376318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.853986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:57.804271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.115241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.455716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.927235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:57.877589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.180972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.529992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:59.007017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:57.965017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.274627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:58.658660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:27:01.902773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호입력일위치?시점위치?방향표시면 기술형식표출형식설치형식설치일자비고
노선번호1.0000.1250.6550.5300.2620.6650.3990.4591.0000.883
구간번호0.1251.0000.4110.0000.0000.4260.1460.638NaNNaN
입력일0.6550.4111.0000.6010.4361.0000.9860.5951.0001.000
위치?시점0.5300.0000.6011.0000.2080.5960.4870.2160.5440.666
위치?방향0.2620.0000.4360.2081.0000.3820.4940.4650.0000.000
표시면 기술형식0.6650.4261.0000.5960.3821.0000.6830.9051.0001.000
표출형식0.3990.1460.9860.4870.4940.6831.0000.9801.0001.000
설치형식0.4590.6380.5950.2160.4650.9050.9801.0001.0001.000
설치일자1.000NaN1.0000.5440.0001.0001.0001.0001.000NaN
비고0.883NaN1.0000.6660.0001.0001.0001.000NaN1.000
2023-12-11T07:27:02.026777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치형식표시면 기술형식설치일자위치?방향표출형식비고
설치형식1.0000.6200.8940.3130.8520.655
표시면 기술형식0.6201.0000.8160.3710.9330.894
설치일자0.8940.8161.0000.0000.816NaN
위치?방향0.3130.3710.0001.0000.3310.000
표출형식0.8520.9330.8160.3311.0000.894
비고0.6550.894NaN0.0000.8941.000
2023-12-11T07:27:02.152027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호입력일위치?시점위치?방향표시면 기술형식표출형식설치형식설치일자비고
노선번호1.0000.2720.091-0.2170.2150.6300.4790.3300.8940.679
구간번호0.2721.0000.080-0.2730.0000.1600.2390.3251.0001.000
입력일0.0910.0801.000-0.4370.2910.9560.8770.4260.8940.891
위치?시점-0.217-0.273-0.4371.0000.1200.4260.3610.1170.2640.341
위치?방향0.2150.0000.2910.1201.0000.3710.3310.3130.0000.000
표시면 기술형식0.6300.1600.9560.4260.3711.0000.9330.6200.8160.894
표출형식0.4790.2390.8770.3610.3310.9331.0000.8520.8160.894
설치형식0.3300.3250.4260.1170.3130.6200.8521.0000.8940.655
설치일자0.8941.0000.8940.2640.0000.8160.8160.8941.0000.000
비고0.6791.0000.8910.3410.0000.8940.8940.6550.0001.000

Missing values

2023-12-11T07:26:59.117297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:26:59.281832image/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

노선번호구간번호플래그입력일위치?시점위치?방향공간경도공간위도표시면 기술형식표출형식설치형식설치일자비고
038799<NA>202002250.322하행<NA><NA>발광형(LED)문자식측주식<NA><NA>
138799<NA>202002251.649하행<NA><NA>발광형(LED)문자식측주식<NA><NA>
238799<NA>202002252.269하행<NA><NA>발광형(LED)문자식측주식<NA><NA>
33724<NA>202210240.125하행<NA><NA>발광형(LED)문자식현수식20221024<NA>
43724<NA>202210244.658하행<NA><NA>발광형(LED)문자식현수식20221024<NA>
53724<NA>201207207.245하행<NA><NA><NA><NA><NA><NA>안전운행
63724<NA>201207207.588상행<NA><NA><NA><NA><NA><NA>안전운행
73724<NA>201207208.942상행<NA><NA><NA><NA><NA><NA>안전운행
83724<NA>201207208.973하행<NA><NA><NA><NA><NA><NA>안전운행
93683<NA>202012243.691상행<NA><NA>발광형(LED)문자식편지식<NA><NA>
노선번호구간번호플래그입력일위치?시점위치?방향공간경도공간위도표시면 기술형식표출형식설치형식설치일자비고
1123225<NA>201512306.631하행<NA><NA>발광형(전구)기타단주식<NA><NA>
1133225<NA>201512306.786하행<NA><NA>발광형(전구)기타단주식<NA><NA>
1143225<NA>201512307.28하행<NA><NA>발광형(전구)문자식편지식<NA><NA>
1153225<NA>201512307.986양방향<NA><NA>발광형(전구)기타단주식<NA><NA>
1163225<NA>201512308.235양방향<NA><NA>발광형(전구)기타단주식<NA><NA>
1173225<NA>201512308.481양방향<NA><NA>발광형(전구)기타단주식<NA><NA>
1183256<NA>201812317.795상행<NA><NA>발광형(LED)문자식측주식<NA><NA>
1193256<NA>202012219.766하행<NA><NA>발광형(LED)문자식편지식<NA>교통정보
1203255<NA>2023012910.57하행<NA><NA>발광형(LED)문자식부착식<NA>버스정류장
1213255<NA>2023012910.963상행<NA><NA>발광형(LED)문자식측주식<NA><NA>

Duplicate rows

Most frequently occurring

노선번호구간번호입력일위치?시점위치?방향표시면 기술형식표출형식설치형식설치일자비고# duplicates
08232013011915.848상행기타기타<NA><NA>경찰사이렌2
130982006090914.4상행발광형(LED)문자식편지식<NA><NA>2
23683202012244.116하행발광형(LED)문자식측주식<NA><NA>2