Overview

Dataset statistics

Number of variables9
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory80.6 B

Variable types

Numeric2
Text3
Categorical4

Dataset

Description학교에 등하교하는 어린이들의 통행시 안전을 위해 설치된 뉴-트렌드 교통시설물임. 어린이의 안전을 상징할 뿐만 아니라 운전자의 눈에 잘 띄는 점에 노란색이 칠해져 있음. (설치학교명, 주소, 좌표, 수량)
URLhttps://www.data.go.kr/data/15084274/fileData.do

Alerts

관리부서 has constant value ""Constant
기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 02:20:39.091239
Analysis finished2023-12-12 02:20:40.079977
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.832978
Minimum35.798314
Maximum35.860972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T11:20:40.138592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.798314
5-th percentile35.804546
Q135.816423
median35.831107
Q335.85196
95-th percentile35.859543
Maximum35.860972
Range0.06265773
Interquartile range (IQR)0.03553673

Descriptive statistics

Standard deviation0.019593898
Coefficient of variation (CV)0.00054681187
Kurtosis-1.332186
Mean35.832978
Median Absolute Deviation (MAD)0.01783695
Skewness-0.11191691
Sum1039.1564
Variance0.00038392083
MonotonicityNot monotonic
2023-12-12T11:20:40.281770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
35.80816336 2
 
6.9%
35.80662752 1
 
3.4%
35.84443342 1
 
3.4%
35.84459247 1
 
3.4%
35.82059631 1
 
3.4%
35.83490543 1
 
3.4%
35.86063851 1
 
3.4%
35.85329967 1
 
3.4%
35.81635648 1
 
3.4%
35.81216502 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
35.79831438 1
3.4%
35.80315875 1
3.4%
35.80662752 1
3.4%
35.80816336 2
6.9%
35.81216502 1
3.4%
35.81635648 1
3.4%
35.81642334 1
3.4%
35.81982317 1
3.4%
35.82059631 1
3.4%
35.82411241 1
3.4%
ValueCountFrequency (%)
35.86097211 1
3.4%
35.86063851 1
3.4%
35.85789855 1
3.4%
35.85706992 1
3.4%
35.85684832 1
3.4%
35.85332922 1
3.4%
35.85329967 1
3.4%
35.85196007 1
3.4%
35.84894378 1
3.4%
35.84459247 1
3.4%

경도
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53059
Minimum128.47889
Maximum128.57239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T11:20:40.432476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47889
5-th percentile128.49835
Q1128.52191
median128.5312
Q3128.54327
95-th percentile128.56336
Maximum128.57239
Range0.0934993
Interquartile range (IQR)0.0213667

Descriptive statistics

Standard deviation0.019646149
Coefficient of variation (CV)0.00015285193
Kurtosis1.3968085
Mean128.53059
Median Absolute Deviation (MAD)0.0094486
Skewness-0.21892098
Sum3727.3872
Variance0.00038597117
MonotonicityNot monotonic
2023-12-12T11:20:40.567521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
128.5312014 2
 
6.9%
128.5217528 1
 
3.4%
128.5290637 1
 
3.4%
128.5318212 1
 
3.4%
128.5221875 1
 
3.4%
128.54536 1
 
3.4%
128.5723871 1
 
3.4%
128.4960083 1
 
3.4%
128.543274 1
 
3.4%
128.5492651 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
128.4788878 1
3.4%
128.4960083 1
3.4%
128.5018556 1
3.4%
128.5137344 1
3.4%
128.5144445 1
3.4%
128.5189229 1
3.4%
128.5217528 1
3.4%
128.5219073 1
3.4%
128.5221875 1
3.4%
128.5260862 1
3.4%
ValueCountFrequency (%)
128.5723871 1
3.4%
128.5722902 1
3.4%
128.5499599 1
3.4%
128.5492651 1
3.4%
128.5472918 1
3.4%
128.54536 1
3.4%
128.5448304 1
3.4%
128.543274 1
3.4%
128.5386403 1
3.4%
128.5357486 1
3.4%

설치학교명
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T11:20:40.786541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters87
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row대진초
2nd row성남초
3rd row와룡초
4th row월배초
5th row호산초
ValueCountFrequency (%)
노전초 2
 
6.9%
대진초 1
 
3.4%
성남초 1
 
3.4%
신월초 1
 
3.4%
남송초 1
 
3.4%
내당초 1
 
3.4%
신당초 1
 
3.4%
월촌초 1
 
3.4%
월곡초 1
 
3.4%
송현초 1
 
3.4%
Other values (18) 18
62.1%
2023-12-12T11:20:41.406544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 29
33.3%
월 5
 
5.7%
성 4
 
4.6%
당 3
 
3.4%
대 3
 
3.4%
송 3
 
3.4%
전 3
 
3.4%
곡 3
 
3.4%
산 3
 
3.4%
암 2
 
2.3%
Other values (24) 29
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 29
33.3%
월 5
 
5.7%
성 4
 
4.6%
당 3
 
3.4%
대 3
 
3.4%
송 3
 
3.4%
전 3
 
3.4%
곡 3
 
3.4%
산 3
 
3.4%
암 2
 
2.3%
Other values (24) 29
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 29
33.3%
월 5
 
5.7%
성 4
 
4.6%
당 3
 
3.4%
대 3
 
3.4%
송 3
 
3.4%
전 3
 
3.4%
곡 3
 
3.4%
산 3
 
3.4%
암 2
 
2.3%
Other values (24) 29
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 29
33.3%
월 5
 
5.7%
성 4
 
4.6%
당 3
 
3.4%
대 3
 
3.4%
송 3
 
3.4%
전 3
 
3.4%
곡 3
 
3.4%
산 3
 
3.4%
암 2
 
2.3%
Other values (24) 29
33.3%

도로명주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T11:20:41.633659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.448276
Min length15

Characters and Unicode

Total characters506
Distinct characters47
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row대구광역시 달서구 상화로 70
2nd row대구광역시 달서구 성당로47길 35
3rd row대구광역시 달서구 선원남로 22
4th row대구광역시 달서구 월배로 131
5th row대구광역시 달서구 달서대로109길 116
ValueCountFrequency (%)
대구광역시 29
25.4%
달서구 28
24.6%
선원남로 3
 
2.6%
송현로 3
 
2.6%
한실로 2
 
1.8%
43 2
 
1.8%
60 2
 
1.8%
장기로 2
 
1.8%
40 1
 
0.9%
280 1
 
0.9%
Other values (41) 41
36.0%
2023-12-12T11:20:42.094775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
16.8%
구 59
11.7%
대 33
 
6.5%
달 31
 
6.1%
서 31
 
6.1%
로 29
 
5.7%
광 29
 
5.7%
역 29
 
5.7%
시 29
 
5.7%
1 19
 
3.8%
Other values (37) 132
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
66.2%
Space Separator 85
 
16.8%
Decimal Number 85
 
16.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 59
17.6%
대 33
9.9%
달 31
9.3%
서 31
9.3%
로 29
8.7%
광 29
8.7%
역 29
8.7%
시 29
8.7%
길 7
 
2.1%
남 5
 
1.5%
Other values (25) 53
15.8%
Decimal Number
ValueCountFrequency (%)
1 19
22.4%
0 12
14.1%
2 11
12.9%
3 9
10.6%
6 7
 
8.2%
9 7
 
8.2%
8 6
 
7.1%
4 6
 
7.1%
5 4
 
4.7%
7 4
 
4.7%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
66.2%
Common 171
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 59
17.6%
대 33
9.9%
달 31
9.3%
서 31
9.3%
로 29
8.7%
광 29
8.7%
역 29
8.7%
시 29
8.7%
길 7
 
2.1%
남 5
 
1.5%
Other values (25) 53
15.8%
Common
ValueCountFrequency (%)
85
49.7%
1 19
 
11.1%
0 12
 
7.0%
2 11
 
6.4%
3 9
 
5.3%
6 7
 
4.1%
9 7
 
4.1%
8 6
 
3.5%
4 6
 
3.5%
5 4
 
2.3%
Other values (2) 5
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
66.2%
ASCII 171
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
49.7%
1 19
 
11.1%
0 12
 
7.0%
2 11
 
6.4%
3 9
 
5.3%
6 7
 
4.1%
9 7
 
4.1%
8 6
 
3.5%
4 6
 
3.5%
5 4
 
2.3%
Other values (2) 5
 
2.9%
Hangul
ValueCountFrequency (%)
구 59
17.6%
대 33
9.9%
달 31
9.3%
서 31
9.3%
로 29
8.7%
광 29
8.7%
역 29
8.7%
시 29
8.7%
길 7
 
2.1%
남 5
 
1.5%
Other values (25) 53
15.8%

지번주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T11:20:42.374628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.586207
Min length17

Characters and Unicode

Total characters539
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row대구광역시 달서구 대곡동 1025
2nd row대구광역시 달서구 두류동 812-1
3rd row대구광역시 달서구 이곡동 1191-1
4th row대구광역시 달서구 진천동 57-1
5th row대구광역시 달서구 호산동 357-57
ValueCountFrequency (%)
대구광역시 29
25.2%
달서구 29
25.2%
월성동 5
 
4.3%
도원동 3
 
2.6%
상인동 3
 
2.6%
이곡동 3
 
2.6%
용산동 2
 
1.7%
장기동 2
 
1.7%
1428-3 2
 
1.7%
대곡동 2
 
1.7%
Other values (35) 35
30.4%
2023-12-12T11:20:42.794590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
16.0%
구 58
 
10.8%
1 32
 
5.9%
대 31
 
5.8%
광 29
 
5.4%
역 29
 
5.4%
시 29
 
5.4%
달 29
 
5.4%
서 29
 
5.4%
동 29
 
5.4%
Other values (35) 158
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
59.0%
Decimal Number 117
 
21.7%
Space Separator 86
 
16.0%
Dash Punctuation 18
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 58
18.2%
대 31
9.7%
광 29
9.1%
역 29
9.1%
시 29
9.1%
달 29
9.1%
서 29
9.1%
동 29
9.1%
성 5
 
1.6%
월 5
 
1.6%
Other values (23) 45
14.2%
Decimal Number
ValueCountFrequency (%)
1 32
27.4%
5 14
12.0%
3 13
11.1%
2 11
 
9.4%
4 10
 
8.5%
8 10
 
8.5%
0 9
 
7.7%
7 8
 
6.8%
9 5
 
4.3%
6 5
 
4.3%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
59.0%
Common 221
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 58
18.2%
대 31
9.7%
광 29
9.1%
역 29
9.1%
시 29
9.1%
달 29
9.1%
서 29
9.1%
동 29
9.1%
성 5
 
1.6%
월 5
 
1.6%
Other values (23) 45
14.2%
Common
ValueCountFrequency (%)
86
38.9%
1 32
 
14.5%
- 18
 
8.1%
5 14
 
6.3%
3 13
 
5.9%
2 11
 
5.0%
4 10
 
4.5%
8 10
 
4.5%
0 9
 
4.1%
7 8
 
3.6%
Other values (2) 10
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
59.0%
ASCII 221
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
38.9%
1 32
 
14.5%
- 18
 
8.1%
5 14
 
6.3%
3 13
 
5.9%
2 11
 
5.0%
4 10
 
4.5%
8 10
 
4.5%
0 9
 
4.1%
7 8
 
3.6%
Other values (2) 10
 
4.5%
Hangul
ValueCountFrequency (%)
구 58
18.2%
대 31
9.7%
광 29
9.1%
역 29
9.1%
시 29
9.1%
달 29
9.1%
서 29
9.1%
동 29
9.1%
성 5
 
1.6%
월 5
 
1.6%
Other values (23) 45
14.2%

수량
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
19 
2
6 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row3

Common Values

ValueCountFrequency (%)
1 19
65.5%
2 6
 
20.7%
3 3
 
10.3%
4 1
 
3.4%

Length

2023-12-12T11:20:42.959769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:20:43.076390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
65.5%
2 6
 
20.7%
3 3
 
10.3%
4 1
 
3.4%

설치연도
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2020
10 
2021
7 
2022
7 
2019
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2020 10
34.5%
2021 7
24.1%
2022 7
24.1%
2019 5
17.2%

Length

2023-12-12T11:20:43.208815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:20:43.349213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 10
34.5%
2021 7
24.1%
2022 7
24.1%
2019 5
17.2%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
교통행정과
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통행정과 29
100.0%

Length

2023-12-12T11:20:43.520221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:20:43.699715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통행정과 29
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-03-16
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-16
2nd row2023-03-16
3rd row2023-03-16
4th row2023-03-16
5th row2023-03-16

Common Values

ValueCountFrequency (%)
2023-03-16 29
100.0%

Length

2023-12-12T11:20:43.854664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:20:43.979884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-16 29
100.0%

Interactions

2023-12-12T11:20:39.659639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:20:39.432819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:20:39.771358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:20:39.556491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:20:44.052392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치학교명도로명주소지번주소수량설치연도
위도1.0000.0001.0001.0001.0000.5110.000
경도0.0001.0001.0001.0001.0000.0000.636
설치학교명1.0001.0001.0001.0001.0001.0000.837
도로명주소1.0001.0001.0001.0001.0001.0000.837
지번주소1.0001.0001.0001.0001.0001.0000.837
수량0.5110.0001.0001.0001.0001.0000.000
설치연도0.0000.6360.8370.8370.8370.0001.000
2023-12-12T11:20:44.190743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량설치연도
수량1.0000.000
설치연도0.0001.000
2023-12-12T11:20:44.291859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도수량설치연도
위도1.000-0.1640.2680.000
경도-0.1641.0000.1690.300
수량0.2680.1691.0000.000
설치연도0.0000.3000.0001.000

Missing values

2023-12-12T11:20:39.880154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:20:40.031055image/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

위도경도설치학교명도로명주소지번주소수량설치연도관리부서기준일자
035.806628128.521753대진초대구광역시 달서구 상화로 70대구광역시 달서구 대곡동 102522019교통행정과2023-03-16
135.853329128.57229성남초대구광역시 달서구 성당로47길 35대구광역시 달서구 두류동 812-112019교통행정과2023-03-16
235.85707128.501856와룡초대구광역시 달서구 선원남로 22대구광역시 달서구 이곡동 1191-112019교통행정과2023-03-16
335.816423128.528313월배초대구광역시 달서구 월배로 131대구광역시 달서구 진천동 57-122019교통행정과2023-03-16
435.848944128.478888호산초대구광역시 달서구 달서대로109길 116대구광역시 달서구 호산동 357-5732019교통행정과2023-03-16
535.844571128.53864본리초대구광역시 달서구 장기로 198대구광역시 달서구 감삼동 33842020교통행정과2023-03-16
635.85196128.514444성서초대구광역시 달서구 달구벌대로 1339대구광역시 달서구 이곡동 727-132020교통행정과2023-03-16
735.856848128.513734이곡초대구광역시 달서구 선원남로 120대구광역시 달서구 이곡동 1304-412020교통행정과2023-03-16
835.824112128.528154조암초대구광역시 달서구 조암로5길 19대구광역시 달서구 월성동 57212020교통행정과2023-03-16
935.828493128.521907월암초대구광역시 달서구 조암로6길 55대구광역시 달서구 월성동 75512020교통행정과2023-03-16
위도경도설치학교명도로명주소지번주소수량설치연도관리부서기준일자
1935.819823128.54996대서초대구광역시 달서구 송현로 9대구광역시 달서구 상인동 860-112021교통행정과2023-03-16
2035.828707128.54483송현초대구광역시 달서구 송현로 128대구광역시 달서구 송현동 190812021교통행정과2023-03-16
2135.812165128.549265월곡초대구광역시 달서구 상인로 40대구광역시 달서구 상인동 156012021교통행정과2023-03-16
2235.816356128.543274월촌초대구광역시 달서구 상인서로 60대구광역시 달서구 상인동 151912022교통행정과2023-03-16
2335.8533128.496008신당초대구광역시 달서구 서당로 14대구광역시 달서구 신당동 1844-212022교통행정과2023-03-16
2435.860639128.572387내당초대구광역시 달서구 명덕로22-9대구광역시 달서구 두류동1202-112022교통행정과2023-03-16
2535.834905128.54536남송초대구광역시 달서구 송현로 192대구광역시 달서구 본동 275-122022교통행정과2023-03-16
2635.808163128.531201노전초대구광역시 달서구 한실로 43대구광역시 달서구 도원동 1428-312022교통행정과2023-03-16
2735.820596128.522188신월초대구광역시 달서구 조암남로 100대구광역시 달서구 월성동 135112022교통행정과2023-03-16
2835.844592128.531821장동초대구광역시 달구벌대로304길 112대구광역시 달서구 장기동 533-422022교통행정과2023-03-16