Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

DateTime1
Categorical2
Text4

Dataset

Description제로셔틀 차량 센서 데이터(라이다) 조회
Author차세대융합기술연구원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=CN5XBMCX5O7V31WD30UT31907399&infSeq=1

Alerts

채널정보 has constant value ""Constant
라이다센서위치 has constant value ""Constant
센서시간정보 has unique valuesUnique
라이다파일명 has unique valuesUnique
라이다파일경로 has unique valuesUnique
라이다어노테이션파일명 has unique valuesUnique
라이다어노테이션파일경로 has unique valuesUnique

Reproduction

Analysis started2024-03-23 02:59:25.827209
Analysis finished2024-03-23 02:59:28.172427
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

센서시간정보
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-03 07:51:07.371811
Maximum2021-11-11 05:24:43.588023
2024-03-23T02:59:28.386071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T02:59:28.972179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

채널정보
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
32
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row32
2nd row32
3rd row32
4th row32
5th row32

Common Values

ValueCountFrequency (%)
32 10000
100.0%

Length

2024-03-23T02:59:29.442948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T02:59:29.814237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
32 10000
100.0%

라이다센서위치
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 10000
100.0%

Length

2024-03-23T02:59:30.163100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T02:59:30.457783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 10000
100.0%

라이다파일명
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T02:59:30.925971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters180000
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowzs_3d_00061287.pcd
2nd rowzs_3d_00066562.pcd
3rd rowzs_3d_00066699.pcd
4th rowzs_3d_00078351.pcd
5th rowzs_3d_00074546.pcd
ValueCountFrequency (%)
zs_3d_00061287.pcd 1
 
< 0.1%
zs_3d_00076056.pcd 1
 
< 0.1%
zs_3d_00062513.pcd 1
 
< 0.1%
zs_3d_00065391.pcd 1
 
< 0.1%
zs_3d_00068112.pcd 1
 
< 0.1%
zs_3d_00078698.pcd 1
 
< 0.1%
zs_3d_00076232.pcd 1
 
< 0.1%
zs_3d_00071301.pcd 1
 
< 0.1%
zs_3d_00066763.pcd 1
 
< 0.1%
zs_3d_00066809.pcd 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-23T02:59:31.871892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33930
18.9%
_ 20000
11.1%
d 20000
11.1%
3 14061
7.8%
z 10000
 
5.6%
p 10000
 
5.6%
c 10000
 
5.6%
s 10000
 
5.6%
. 10000
 
5.6%
6 9044
 
5.0%
Other values (7) 32965
18.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
50.0%
Lowercase Letter 60000
33.3%
Connector Punctuation 20000
 
11.1%
Other Punctuation 10000
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33930
37.7%
3 14061
15.6%
6 9044
 
10.0%
7 8959
 
10.0%
8 4057
 
4.5%
2 4033
 
4.5%
1 4020
 
4.5%
4 3972
 
4.4%
5 3970
 
4.4%
9 3954
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
d 20000
33.3%
z 10000
16.7%
p 10000
16.7%
c 10000
16.7%
s 10000
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 20000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
66.7%
Latin 60000
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33930
28.3%
_ 20000
16.7%
3 14061
11.7%
. 10000
 
8.3%
6 9044
 
7.5%
7 8959
 
7.5%
8 4057
 
3.4%
2 4033
 
3.4%
1 4020
 
3.4%
4 3972
 
3.3%
Other values (2) 7924
 
6.6%
Latin
ValueCountFrequency (%)
d 20000
33.3%
z 10000
16.7%
p 10000
16.7%
c 10000
16.7%
s 10000
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33930
18.9%
_ 20000
11.1%
d 20000
11.1%
3 14061
7.8%
z 10000
 
5.6%
p 10000
 
5.6%
c 10000
 
5.6%
s 10000
 
5.6%
. 10000
 
5.6%
6 9044
 
5.0%
Other values (7) 32965
18.3%

라이다파일경로
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T02:59:32.881051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length76
Mean length76
Min length76

Characters and Unicode

Total characters760000
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00061287.pcd
2nd rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066562.pcd
3rd rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066699.pcd
4th rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078351.pcd
5th rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00074546.pcd
ValueCountFrequency (%)
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00061287.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00076056.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00062513.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00065391.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00068112.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078698.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00076232.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00071301.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066763.pcd 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066809.pcd 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-23T02:59:34.058613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83930
 
11.0%
/ 80000
 
10.5%
t 60000
 
7.9%
2 54033
 
7.1%
d 40000
 
5.3%
. 30000
 
3.9%
p 30000
 
3.9%
r 30000
 
3.9%
o 30000
 
3.9%
3 24061
 
3.2%
Other values (23) 297976
39.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 390000
51.3%
Decimal Number 220000
28.9%
Other Punctuation 120000
 
15.8%
Connector Punctuation 20000
 
2.6%
Dash Punctuation 10000
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 60000
15.4%
d 40000
 
10.3%
p 30000
 
7.7%
r 30000
 
7.7%
o 30000
 
7.7%
s 20000
 
5.1%
a 20000
 
5.1%
h 20000
 
5.1%
c 20000
 
5.1%
e 20000
 
5.1%
Other values (8) 100000
25.6%
Decimal Number
ValueCountFrequency (%)
0 83930
38.1%
2 54033
24.6%
3 24061
 
10.9%
1 14020
 
6.4%
9 13954
 
6.3%
6 9044
 
4.1%
7 8959
 
4.1%
8 4057
 
1.8%
4 3972
 
1.8%
5 3970
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 80000
66.7%
. 30000
 
25.0%
: 10000
 
8.3%
Connector Punctuation
ValueCountFrequency (%)
_ 20000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 390000
51.3%
Common 370000
48.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 60000
15.4%
d 40000
 
10.3%
p 30000
 
7.7%
r 30000
 
7.7%
o 30000
 
7.7%
s 20000
 
5.1%
a 20000
 
5.1%
h 20000
 
5.1%
c 20000
 
5.1%
e 20000
 
5.1%
Other values (8) 100000
25.6%
Common
ValueCountFrequency (%)
0 83930
22.7%
/ 80000
21.6%
2 54033
14.6%
. 30000
 
8.1%
3 24061
 
6.5%
_ 20000
 
5.4%
1 14020
 
3.8%
9 13954
 
3.8%
- 10000
 
2.7%
: 10000
 
2.7%
Other values (5) 30002
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 760000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83930
 
11.0%
/ 80000
 
10.5%
t 60000
 
7.9%
2 54033
 
7.1%
d 40000
 
5.3%
. 30000
 
3.9%
p 30000
 
3.9%
r 30000
 
3.9%
o 30000
 
3.9%
3 24061
 
3.2%
Other values (23) 297976
39.2%

라이다어노테이션파일명
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T02:59:34.617366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters190000
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowzs_3d_00061287.json
2nd rowzs_3d_00066562.json
3rd rowzs_3d_00066699.json
4th rowzs_3d_00078351.json
5th rowzs_3d_00074546.json
ValueCountFrequency (%)
zs_3d_00061287.json 1
 
< 0.1%
zs_3d_00076056.json 1
 
< 0.1%
zs_3d_00062513.json 1
 
< 0.1%
zs_3d_00065391.json 1
 
< 0.1%
zs_3d_00068112.json 1
 
< 0.1%
zs_3d_00078698.json 1
 
< 0.1%
zs_3d_00076232.json 1
 
< 0.1%
zs_3d_00071301.json 1
 
< 0.1%
zs_3d_00066763.json 1
 
< 0.1%
zs_3d_00066809.json 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-23T02:59:35.566382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33930
17.9%
_ 20000
10.5%
s 20000
10.5%
3 14061
 
7.4%
z 10000
 
5.3%
j 10000
 
5.3%
d 10000
 
5.3%
n 10000
 
5.3%
o 10000
 
5.3%
. 10000
 
5.3%
Other values (8) 42009
22.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
47.4%
Lowercase Letter 70000
36.8%
Connector Punctuation 20000
 
10.5%
Other Punctuation 10000
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33930
37.7%
3 14061
15.6%
6 9044
 
10.0%
7 8959
 
10.0%
8 4057
 
4.5%
2 4033
 
4.5%
1 4020
 
4.5%
4 3972
 
4.4%
5 3970
 
4.4%
9 3954
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
s 20000
28.6%
z 10000
14.3%
j 10000
14.3%
d 10000
14.3%
n 10000
14.3%
o 10000
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 20000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
63.2%
Latin 70000
36.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33930
28.3%
_ 20000
16.7%
3 14061
11.7%
. 10000
 
8.3%
6 9044
 
7.5%
7 8959
 
7.5%
8 4057
 
3.4%
2 4033
 
3.4%
1 4020
 
3.4%
4 3972
 
3.3%
Other values (2) 7924
 
6.6%
Latin
ValueCountFrequency (%)
s 20000
28.6%
z 10000
14.3%
j 10000
14.3%
d 10000
14.3%
n 10000
14.3%
o 10000
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33930
17.9%
_ 20000
10.5%
s 20000
10.5%
3 14061
 
7.4%
z 10000
 
5.3%
j 10000
 
5.3%
d 10000
 
5.3%
n 10000
 
5.3%
o 10000
 
5.3%
. 10000
 
5.3%
Other values (8) 42009
22.1%

라이다어노테이션파일경로
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T02:59:36.506546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length77
Mean length77
Min length77

Characters and Unicode

Total characters770000
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00061287.json
2nd rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066562.json
3rd rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066699.json
4th rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078351.json
5th rowhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00074546.json
ValueCountFrequency (%)
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00061287.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00076056.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00062513.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00065391.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00068112.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078698.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00076232.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00071301.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066763.json 1
 
< 0.1%
http://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066809.json 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-23T02:59:37.870715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83930
 
10.9%
/ 80000
 
10.4%
t 60000
 
7.8%
2 54033
 
7.0%
o 40000
 
5.2%
s 30000
 
3.9%
. 30000
 
3.9%
r 30000
 
3.9%
d 30000
 
3.9%
3 24061
 
3.1%
Other values (24) 307976
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 400000
51.9%
Decimal Number 220000
28.6%
Other Punctuation 120000
 
15.6%
Connector Punctuation 20000
 
2.6%
Dash Punctuation 10000
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 60000
15.0%
o 40000
 
10.0%
s 30000
 
7.5%
r 30000
 
7.5%
d 30000
 
7.5%
n 20000
 
5.0%
a 20000
 
5.0%
h 20000
 
5.0%
e 20000
 
5.0%
z 20000
 
5.0%
Other values (9) 110000
27.5%
Decimal Number
ValueCountFrequency (%)
0 83930
38.1%
2 54033
24.6%
3 24061
 
10.9%
1 14020
 
6.4%
9 13954
 
6.3%
6 9044
 
4.1%
7 8959
 
4.1%
8 4057
 
1.8%
4 3972
 
1.8%
5 3970
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 80000
66.7%
. 30000
 
25.0%
: 10000
 
8.3%
Connector Punctuation
ValueCountFrequency (%)
_ 20000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 400000
51.9%
Common 370000
48.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 60000
15.0%
o 40000
 
10.0%
s 30000
 
7.5%
r 30000
 
7.5%
d 30000
 
7.5%
n 20000
 
5.0%
a 20000
 
5.0%
h 20000
 
5.0%
e 20000
 
5.0%
z 20000
 
5.0%
Other values (9) 110000
27.5%
Common
ValueCountFrequency (%)
0 83930
22.7%
/ 80000
21.6%
2 54033
14.6%
. 30000
 
8.1%
3 24061
 
6.5%
_ 20000
 
5.4%
1 14020
 
3.8%
9 13954
 
3.8%
- 10000
 
2.7%
: 10000
 
2.7%
Other values (5) 30002
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 770000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83930
 
10.9%
/ 80000
 
10.4%
t 60000
 
7.8%
2 54033
 
7.0%
o 40000
 
5.2%
s 30000
 
3.9%
. 30000
 
3.9%
r 30000
 
3.9%
d 30000
 
3.9%
3 24061
 
3.1%
Other values (24) 307976
40.0%

Missing values

2024-03-23T02:59:27.623053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T02:59:27.991350image/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

센서시간정보채널정보라이다센서위치라이다파일명라이다파일경로라이다어노테이션파일명라이다어노테이션파일경로
11102021-09-03 07:53:07.774567000322zs_3d_00061287.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00061287.pcdzs_3d_00061287.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00061287.json
46852021-09-03 08:01:57.830205000322zs_3d_00066562.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066562.pcdzs_3d_00066562.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066562.json
35252021-09-03 08:02:11.541945000322zs_3d_00066699.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066699.pcdzs_3d_00066699.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066699.json
181922021-11-11 05:21:37.227783000322zs_3d_00078351.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078351.pcdzs_3d_00078351.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078351.json
161842021-09-03 08:15:16.916275000322zs_3d_00074546.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00074546.pcdzs_3d_00074546.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00074546.json
174342021-11-11 05:22:24.168380000322zs_3d_00078820.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078820.pcdzs_3d_00078820.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00078820.json
147472021-11-11 05:16:25.657291000322zs_3d_00075228.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00075228.pcdzs_3d_00075228.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00075228.json
154722021-11-11 05:20:01.244809000322zs_3d_00077392.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00077392.pcdzs_3d_00077392.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00077392.json
77942021-09-03 08:06:50.382335000322zs_3d_00069495.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00069495.pcdzs_3d_00069495.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00069495.json
1452021-09-03 07:51:29.390803000322zs_3d_00060314.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00060314.pcdzs_3d_00060314.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00060314.json
센서시간정보채널정보라이다센서위치라이다파일명라이다파일경로라이다어노테이션파일명라이다어노테이션파일경로
42692021-09-03 08:00:49.871803000322zs_3d_00065883.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00065883.pcdzs_3d_00065883.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00065883.json
22112021-09-03 07:54:39.254099000322zs_3d_00062211.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00062211.pcdzs_3d_00062211.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00062211.json
147582021-11-11 05:19:07.797716000322zs_3d_00076848.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00076848.pcdzs_3d_00076848.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00076848.json
44502021-09-03 08:01:10.190136000322zs_3d_00066096.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066096.pcdzs_3d_00066096.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00066096.json
89942021-09-03 08:03:03.586708000322zs_3d_00067219.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00067219.pcdzs_3d_00067219.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00067219.json
60662021-09-03 07:58:42.762568000322zs_3d_00064614.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00064614.pcdzs_3d_00064614.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00064614.json
118982021-09-03 08:13:43.636219000322zs_3d_00073614.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00073614.pcdzs_3d_00073614.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00073614.json
166232021-09-03 08:15:56.351022000322zs_3d_00074950.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00074950.pcdzs_3d_00074950.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00074950.json
158322021-11-11 05:16:37.468384000322zs_3d_00075356.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00075356.pcdzs_3d_00075356.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00075356.json
282021-09-03 07:51:07.671208000322zs_3d_00060087.pcdhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00060087.pcdzs_3d_00060087.jsonhttp://ggzerocity-data.or.kr/opn/02/shuttle02/3d/20210902/zs_3d_00060087.json