Overview

Dataset statistics

Number of variables10
Number of observations7612
Missing cells24175
Missing cells (%)31.8%
Duplicate rows444
Duplicate rows (%)5.8%
Total size in memory639.4 KiB
Average record size in memory86.0 B

Variable types

Numeric3
Categorical3
Text2
Unsupported2

Dataset

Description경기도_도로대장 전산화 시스템_신호등
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=9P9YYAC2I8R1ALT2TVY433947349&infSeq=1

Alerts

Dataset has 444 (5.8%) duplicate rowsDuplicates
설치형식 is highly imbalanced (50.4%)Imbalance
설치일자 has 5034 (66.1%) missing valuesMissing
비고 has 3917 (51.5%) missing valuesMissing
공간경도 has 7612 (100.0%) missing valuesMissing
공간위도 has 7612 (100.0%) missing valuesMissing
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 21:36:36.170212
Analysis finished2023-12-10 21:36:38.408891
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Real number (ℝ)

Distinct46
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.35142
Minimum23
Maximum391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.0 KiB
2023-12-11T06:36:38.479787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile56
Q186
median313
Q3333
95-th percentile387
Maximum391
Range368
Interquartile range (IQR)247

Descriptive statistics

Standard deviation123.6308
Coefficient of variation (CV)0.49186434
Kurtosis-1.3141605
Mean251.35142
Median Absolute Deviation (MAD)47
Skewness-0.69194442
Sum1913287
Variance15284.575
MonotonicityNot monotonic
2023-12-11T06:36:38.624497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
78 539
 
7.1%
387 410
 
5.4%
333 408
 
5.4%
86 399
 
5.2%
56 371
 
4.9%
98 338
 
4.4%
302 337
 
4.4%
322 315
 
4.1%
82 271
 
3.6%
315 264
 
3.5%
Other values (36) 3960
52.0%
ValueCountFrequency (%)
23 152
 
2.0%
39 5
 
0.1%
56 371
4.9%
57 116
 
1.5%
70 201
 
2.6%
78 539
7.1%
82 271
3.6%
86 399
5.2%
88 28
 
0.4%
98 338
4.4%
ValueCountFrequency (%)
391 10
 
0.1%
387 410
5.4%
383 54
 
0.7%
376 3
 
< 0.1%
375 108
 
1.4%
372 127
 
1.7%
371 119
 
1.6%
368 109
 
1.4%
367 19
 
0.2%
364 229
3.0%

구간번호
Real number (ℝ)

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.41855
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.0 KiB
2023-12-11T06:36:38.750473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q37
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation22.169894
Coefficient of variation (CV)2.1279252
Kurtosis11.656873
Mean10.41855
Median Absolute Deviation (MAD)3
Skewness3.6383412
Sum79306
Variance491.5042
MonotonicityNot monotonic
2023-12-11T06:36:38.860889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1602
21.0%
4 938
12.3%
7 912
12.0%
5 766
10.1%
3 596
 
7.8%
2 575
 
7.6%
99 427
 
5.6%
6 360
 
4.7%
8 358
 
4.7%
9 311
 
4.1%
Other values (11) 767
10.1%
ValueCountFrequency (%)
1 1602
21.0%
2 575
 
7.6%
3 596
 
7.8%
4 938
12.3%
5 766
10.1%
6 360
 
4.7%
7 912
12.0%
8 358
 
4.7%
9 311
 
4.1%
10 178
 
2.3%
ValueCountFrequency (%)
99 427
5.6%
97 11
 
0.1%
26 8
 
0.1%
24 13
 
0.2%
18 55
 
0.7%
16 9
 
0.1%
15 24
 
0.3%
14 45
 
0.6%
13 210
2.8%
12 129
 
1.7%

위치?시점
Real number (ℝ)

Distinct3711
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3752545
Minimum0
Maximum17.455
Zeros39
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size67.0 KiB
2023-12-11T06:36:39.018486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.135
Q11.24925
median3.54
Q36.868
95-th percentile11.70435
Maximum17.455
Range17.455
Interquartile range (IQR)5.61875

Descriptive statistics

Standard deviation3.6819627
Coefficient of variation (CV)0.84154253
Kurtosis0.13146649
Mean4.3752545
Median Absolute Deviation (MAD)2.601
Skewness0.89503941
Sum33304.437
Variance13.556849
MonotonicityNot monotonic
2023-12-11T06:36:39.418058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
0.5%
0.008 22
 
0.3%
0.01 14
 
0.2%
0.012 14
 
0.2%
0.005 14
 
0.2%
3.134 13
 
0.2%
0.017 13
 
0.2%
0.015 12
 
0.2%
1.572 12
 
0.2%
0.15 12
 
0.2%
Other values (3701) 7447
97.8%
ValueCountFrequency (%)
0.0 39
0.5%
0.001 1
 
< 0.1%
0.002 3
 
< 0.1%
0.004 4
 
0.1%
0.005 14
 
0.2%
0.006 8
 
0.1%
0.007 10
 
0.1%
0.008 22
0.3%
0.009 9
 
0.1%
0.01 14
 
0.2%
ValueCountFrequency (%)
17.455 3
< 0.1%
17.221 1
 
< 0.1%
17.219 1
 
< 0.1%
17.212 1
 
< 0.1%
17.028 1
 
< 0.1%
16.912 1
 
< 0.1%
16.911 1
 
< 0.1%
16.902 1
 
< 0.1%
16.892 1
 
< 0.1%
16.881 1
 
< 0.1%

위치?방향
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
0
3815 
1
3780 
3
 
15
-1
 
2

Length

Max length2
Median length1
Mean length1.0002627
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3815
50.1%
1 3780
49.7%
3 15
 
0.2%
-1 2
 
< 0.1%

Length

2023-12-11T06:36:39.584118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:39.706034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3815
50.1%
1 3782
49.7%
3 15
 
0.2%

종류
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
3색등
2248 
4색등
2168 
2색보행등
1642 
2색보행등+잔여시간표시기
831 
기타
551 
Other values (6)
 
172

Length

Max length13
Median length3
Mean length4.4600631
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2색보행등
2nd row2색보행등
3rd row2색보행등
4th row3색등
5th row3색등

Common Values

ValueCountFrequency (%)
3색등 2248
29.5%
4색등 2168
28.5%
2색보행등 1642
21.6%
2색보행등+잔여시간표시기 831
 
10.9%
기타 551
 
7.2%
2색등 104
 
1.4%
<NA> 43
 
0.6%
2색가변등 14
 
0.2%
복주식 6
 
0.1%
단주식 4
 
0.1%

Length

2023-12-11T06:36:39.817757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3색등 2248
29.5%
4색등 2168
28.5%
2색보행등 1642
21.6%
2색보행등+잔여시간표시기 831
 
10.9%
기타 551
 
7.2%
2색등 104
 
1.4%
na 43
 
0.6%
2색가변등 14
 
0.2%
복주식 6
 
0.1%
단주식 4
 
0.1%

설치형식
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
측주식
5231 
단주식
586 
현수식
552 
편지식
531 
부착식
 
439
Other values (5)
 
273

Length

Max length4
Median length3
Mean length2.9813452
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
측주식 5231
68.7%
단주식 586
 
7.7%
현수식 552
 
7.3%
편지식 531
 
7.0%
부착식 439
 
5.8%
기타 202
 
2.7%
<NA> 60
 
0.8%
내민식 5
 
0.1%
복주식 4
 
0.1%
문형식 2
 
< 0.1%

Length

2023-12-11T06:36:39.937098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:36:40.069648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
측주식 5231
68.7%
단주식 586
 
7.7%
현수식 552
 
7.3%
편지식 531
 
7.0%
부착식 439
 
5.8%
기타 202
 
2.7%
na 60
 
0.8%
내민식 5
 
0.1%
복주식 4
 
0.1%
문형식 2
 
< 0.1%

설치일자
Text

MISSING 

Distinct86
Distinct (%)3.3%
Missing5034
Missing (%)66.1%
Memory size59.6 KiB
2023-12-11T06:36:40.281079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length5.6803724
Min length1

Characters and Unicode

Total characters14644
Distinct characters23
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.6%

Sample

1st row20190319
2nd row20190319
3rd row20190319
4th row20190319
5th row20190319
ValueCountFrequency (%)
2017 486
18.9%
2014 227
 
8.8%
2016 188
 
7.3%
20190319 144
 
5.6%
2019 143
 
5.5%
20170203 117
 
4.5%
20151230 106
 
4.1%
20180811 94
 
3.6%
85
 
3.3%
2012 81
 
3.1%
Other values (76) 907
35.2%
2023-12-11T06:36:40.675082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3908
26.7%
1 3330
22.7%
2 3250
22.2%
7 797
 
5.4%
3 726
 
5.0%
9 638
 
4.4%
8 566
 
3.9%
6 397
 
2.7%
4 372
 
2.5%
5 259
 
1.8%
Other values (13) 401
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14243
97.3%
Dash Punctuation 202
 
1.4%
Uppercase Letter 103
 
0.7%
Other Punctuation 51
 
0.3%
Other Letter 45
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3908
27.4%
1 3330
23.4%
2 3250
22.8%
7 797
 
5.6%
3 726
 
5.1%
9 638
 
4.5%
8 566
 
4.0%
6 397
 
2.8%
4 372
 
2.6%
5 259
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
P 46
44.7%
U 19
18.4%
D 17
 
16.5%
R 13
 
12.6%
A 4
 
3.9%
C 3
 
2.9%
B 1
 
1.0%
Other Letter
ValueCountFrequency (%)
동 13
28.9%
신 13
28.9%
월 13
28.9%
구 6
13.3%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Other Punctuation
ValueCountFrequency (%)
. 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14496
99.0%
Latin 103
 
0.7%
Hangul 45
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3908
27.0%
1 3330
23.0%
2 3250
22.4%
7 797
 
5.5%
3 726
 
5.0%
9 638
 
4.4%
8 566
 
3.9%
6 397
 
2.7%
4 372
 
2.6%
5 259
 
1.8%
Other values (2) 253
 
1.7%
Latin
ValueCountFrequency (%)
P 46
44.7%
U 19
18.4%
D 17
 
16.5%
R 13
 
12.6%
A 4
 
3.9%
C 3
 
2.9%
B 1
 
1.0%
Hangul
ValueCountFrequency (%)
동 13
28.9%
신 13
28.9%
월 13
28.9%
구 6
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14599
99.7%
Hangul 45
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3908
26.8%
1 3330
22.8%
2 3250
22.3%
7 797
 
5.5%
3 726
 
5.0%
9 638
 
4.4%
8 566
 
3.9%
6 397
 
2.7%
4 372
 
2.5%
5 259
 
1.8%
Other values (9) 356
 
2.4%
Hangul
ValueCountFrequency (%)
동 13
28.9%
신 13
28.9%
월 13
28.9%
구 6
13.3%

비고
Text

MISSING 

Distinct255
Distinct (%)6.9%
Missing3917
Missing (%)51.5%
Memory size59.6 KiB
2023-12-11T06:36:40.919432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length3
Mean length4.5870095
Min length1

Characters and Unicode

Total characters16949
Distinct characters110
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

Unique97 ?
Unique (%)2.6%

Sample

1st row3구점멸등
2nd row2ea
3rd row3색등
4th row보행등+잔여
5th row3색등X2
ValueCountFrequency (%)
2ea 1413
34.1%
3ea 417
 
10.1%
1ea 205
 
5.0%
4ea 167
 
4.0%
2개 148
 
3.6%
2색보행등 91
 
2.2%
4색등 69
 
1.7%
1구 62
 
1.5%
잔여시간표시기 60
 
1.4%
보행등 49
 
1.2%
Other values (184) 1459
35.2%
2023-12-11T06:36:41.344676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2225
13.1%
A 1811
 
10.7%
E 1792
 
10.6%
등 1092
 
6.4%
3 935
 
5.5%
e 845
 
5.0%
a 845
 
5.0%
색 825
 
4.9%
4 538
 
3.2%
493
 
2.9%
Other values (100) 5548
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5955
35.1%
Decimal Number 4236
25.0%
Uppercase Letter 3702
21.8%
Lowercase Letter 1789
 
10.6%
Other Punctuation 539
 
3.2%
Space Separator 493
 
2.9%
Close Punctuation 76
 
0.4%
Open Punctuation 76
 
0.4%
Math Symbol 75
 
0.4%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 1092
18.3%
색 825
13.9%
보 480
 
8.1%
행 438
 
7.4%
구 308
 
5.2%
시 284
 
4.8%
개 207
 
3.5%
황 197
 
3.3%
멸 193
 
3.2%
점 193
 
3.2%
Other values (70) 1738
29.2%
Decimal Number
ValueCountFrequency (%)
2 2225
52.5%
3 935
22.1%
4 538
 
12.7%
1 370
 
8.7%
0 45
 
1.1%
5 40
 
0.9%
6 37
 
0.9%
7 37
 
0.9%
8 6
 
0.1%
9 3
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 1811
48.9%
E 1792
48.4%
X 53
 
1.4%
T 19
 
0.5%
S 19
 
0.5%
P 4
 
0.1%
C 4
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 437
81.1%
@ 70
 
13.0%
. 29
 
5.4%
: 2
 
0.4%
\ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 845
47.2%
a 845
47.2%
x 99
 
5.5%
Space Separator
ValueCountFrequency (%)
493
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Math Symbol
ValueCountFrequency (%)
+ 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5955
35.1%
Common 5503
32.5%
Latin 5491
32.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 1092
18.3%
색 825
13.9%
보 480
 
8.1%
행 438
 
7.4%
구 308
 
5.2%
시 284
 
4.8%
개 207
 
3.5%
황 197
 
3.3%
멸 193
 
3.2%
점 193
 
3.2%
Other values (70) 1738
29.2%
Common
ValueCountFrequency (%)
2 2225
40.4%
3 935
17.0%
4 538
 
9.8%
493
 
9.0%
, 437
 
7.9%
1 370
 
6.7%
) 76
 
1.4%
( 76
 
1.4%
+ 75
 
1.4%
@ 70
 
1.3%
Other values (10) 208
 
3.8%
Latin
ValueCountFrequency (%)
A 1811
33.0%
E 1792
32.6%
e 845
15.4%
a 845
15.4%
x 99
 
1.8%
X 53
 
1.0%
T 19
 
0.3%
S 19
 
0.3%
P 4
 
0.1%
C 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10994
64.9%
Hangul 5955
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2225
20.2%
A 1811
16.5%
E 1792
16.3%
3 935
8.5%
e 845
 
7.7%
a 845
 
7.7%
4 538
 
4.9%
493
 
4.5%
, 437
 
4.0%
1 370
 
3.4%
Other values (20) 703
 
6.4%
Hangul
ValueCountFrequency (%)
등 1092
18.3%
색 825
13.9%
보 480
 
8.1%
행 438
 
7.4%
구 308
 
5.2%
시 284
 
4.8%
개 207
 
3.5%
황 197
 
3.3%
멸 193
 
3.2%
점 193
 
3.2%
Other values (70) 1738
29.2%

공간경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7612
Missing (%)100.0%
Memory size67.0 KiB

공간위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7612
Missing (%)100.0%
Memory size67.0 KiB

Interactions

2023-12-11T06:36:37.676999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:36.937681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:37.363542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:37.793831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:37.099612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:37.483453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:37.906063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:37.224997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:37.580889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:36:41.468178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호위치?시점위치?방향종류설치형식설치일자
노선번호1.0000.4240.2540.0780.2200.3650.969
구간번호0.4241.0000.1760.0000.0620.2980.970
위치?시점0.2540.1761.0000.0450.2460.2560.852
위치?방향0.0780.0000.0451.0000.1490.1430.715
종류0.2200.0620.2460.1491.0000.4730.848
설치형식0.3650.2980.2560.1430.4731.0000.951
설치일자0.9690.9700.8520.7150.8480.9511.000
2023-12-11T06:36:41.596416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치?방향설치형식종류
위치?방향1.0000.0920.090
설치형식0.0921.0000.238
종류0.0900.2381.000
2023-12-11T06:36:41.693841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호위치?시점위치?방향종류설치형식
노선번호1.0000.020-0.0150.0500.1170.190
구간번호0.0201.000-0.0750.0000.0370.194
위치?시점-0.015-0.0751.0000.0270.0780.119
위치?방향0.0500.0000.0271.0000.0900.092
종류0.1170.0370.0780.0901.0000.238
설치형식0.1900.1940.1190.0920.2381.000

Missing values

2023-12-11T06:36:38.066442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:36:38.206842image/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.
2023-12-11T06:36:38.333883image/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

노선번호구간번호위치?시점위치?방향종류설치형식설치일자비고공간경도공간위도
0391611.75702색보행등측주식<NA><NA><NA><NA>
1391611.75712색보행등측주식<NA><NA><NA><NA>
2391611.75712색보행등측주식<NA><NA><NA><NA>
339140.0113색등측주식<NA><NA><NA><NA>
439140.01103색등측주식<NA><NA><NA><NA>
5391411.670기타측주식<NA>3구점멸등<NA><NA>
6391411.70303색등측주식<NA><NA><NA><NA>
7391411.70603색등단주식<NA><NA><NA><NA>
8391411.70602색보행등측주식<NA><NA><NA><NA>
9391411.71604색등측주식<NA>2ea<NA><NA>
노선번호구간번호위치?시점위치?방향종류설치형식설치일자비고공간경도공간위도
7602325511.2950기타측주식103색 3EA 점멸등<NA><NA>
7603325511.5151단주식측주식104색 2EA<NA><NA>
7604325511.5151단주식측주식104색 2EA<NA><NA>
7605325511.5151복주식측주식103색 1EA<NA><NA>
7606325511.5151복주식측주식103색 1EA<NA><NA>
7607325511.53802색보행등단주식102색 1EA<NA><NA>
7608325511.5381단주식측주식104색 1EA<NA><NA>
7609325511.5381복주식측주식103색 1EA<NA><NA>
7610325511.5971복주식측주식104색 2EA<NA><NA>
7611325511.59704색등측주식104색 2EA<NA><NA>

Duplicate rows

Most frequently occurring

노선번호구간번호위치?시점위치?방향종류설치형식설치일자비고# duplicates
305670.78214색등측주식<NA><NA>6
315670.79104색등측주식<NA><NA>6
985676.01603색등측주식<NA><NA>6
2067881.36403색등측주식<NA><NA>6
225670.014색등측주식<NA><NA>5
235670.00804색등측주식<NA><NA>5
365671.29213색등측주식<NA><NA>5
405671.57213색등측주식<NA><NA>5
435671.69403색등측주식<NA><NA>5
535672.45214색등측주식<NA><NA>5