Overview

Dataset statistics

Number of variables6
Number of observations291
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory50.5 B

Variable types

Numeric2
Text4

Dataset

Description대구공공시설관리공단(구.대구시설공단) 도로시설물관리시스템 도로현황입니다. 일련번호, 가로명, 기점, 종점, 연장, 주요경과지로 이루어져있습니다.
URLhttps://www.data.go.kr/data/15120478/fileData.do

Alerts

일련번호 is highly overall correlated with 연장High correlation
연장 is highly overall correlated with 일련번호High correlation
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:23:44.483225
Analysis finished2023-12-12 09:23:45.794602
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct291
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146
Minimum1
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T18:23:45.876467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.5
Q173.5
median146
Q3218.5
95-th percentile276.5
Maximum291
Range290
Interquartile range (IQR)145

Descriptive statistics

Standard deviation84.148678
Coefficient of variation (CV)0.57636081
Kurtosis-1.2
Mean146
Median Absolute Deviation (MAD)73
Skewness0
Sum42486
Variance7081
MonotonicityStrictly increasing
2023-12-12T18:23:46.069623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
184 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
Other values (281) 281
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%

가로명
Text

Distinct287
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T18:23:46.473269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.8316151
Min length3

Characters and Unicode

Total characters1115
Distinct characters194
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

Unique283 ?
Unique (%)97.3%

Sample

1st row양지로
2nd row칠곡로
3rd row신천대로
4th row명륜로
5th row와룡로
ValueCountFrequency (%)
상록길 2
 
0.7%
달성4길 2
 
0.7%
호림로 2
 
0.7%
체육관앞길 2
 
0.7%
복현로 1
 
0.3%
무지개로 1
 
0.3%
무지개로1 1
 
0.3%
칠성바위2길 1
 
0.3%
공평로1 1
 
0.3%
기업전시로 1
 
0.3%
Other values (277) 277
95.2%
2023-12-12T18:23:47.036825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 214
 
19.2%
길 76
 
6.8%
1 39
 
3.5%
공 27
 
2.4%
대 26
 
2.3%
산 26
 
2.3%
천 25
 
2.2%
동 25
 
2.2%
서 23
 
2.1%
성 22
 
2.0%
Other values (184) 612
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
92.0%
Decimal Number 85
 
7.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 214
 
20.9%
길 76
 
7.4%
공 27
 
2.6%
대 26
 
2.5%
산 26
 
2.5%
천 25
 
2.4%
동 25
 
2.4%
서 23
 
2.2%
성 22
 
2.1%
단 21
 
2.0%
Other values (174) 541
52.7%
Decimal Number
ValueCountFrequency (%)
1 39
45.9%
2 20
23.5%
3 14
 
16.5%
4 6
 
7.1%
7 4
 
4.7%
6 2
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
92.0%
Common 89
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 214
 
20.9%
길 76
 
7.4%
공 27
 
2.6%
대 26
 
2.5%
산 26
 
2.5%
천 25
 
2.4%
동 25
 
2.4%
서 23
 
2.2%
성 22
 
2.1%
단 21
 
2.0%
Other values (174) 541
52.7%
Common
ValueCountFrequency (%)
1 39
43.8%
2 20
22.5%
3 14
 
15.7%
4 6
 
6.7%
7 4
 
4.5%
6 2
 
2.2%
( 1
 
1.1%
) 1
 
1.1%
- 1
 
1.1%
~ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
92.0%
ASCII 89
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 214
 
20.9%
길 76
 
7.4%
공 27
 
2.6%
대 26
 
2.5%
산 26
 
2.5%
천 25
 
2.4%
동 25
 
2.4%
서 23
 
2.2%
성 22
 
2.1%
단 21
 
2.0%
Other values (174) 541
52.7%
ASCII
ValueCountFrequency (%)
1 39
43.8%
2 20
22.5%
3 14
 
15.7%
4 6
 
6.7%
7 4
 
4.5%
6 2
 
2.2%
( 1
 
1.1%
) 1
 
1.1%
- 1
 
1.1%
~ 1
 
1.1%

기점
Text

Distinct242
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T18:23:47.400251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.1443299
Min length2

Characters and Unicode

Total characters1497
Distinct characters243
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

Unique206 ?
Unique (%)70.8%

Sample

1st row삼각지네거리
2nd row팔달교
3rd row상동교
4th row덕산파출소
5th row본리공원삼거리
ValueCountFrequency (%)
달구벌대로 12
 
3.9%
두산오거리 4
 
1.3%
달성네거리 3
 
1.0%
원대오거리 3
 
1.0%
두류네거리 2
 
0.6%
대구은행네거리 2
 
0.6%
대동교회 2
 
0.6%
달서천환경사업소 2
 
0.6%
성서공단로 2
 
0.6%
대천소방파출소 2
 
0.6%
Other values (245) 274
89.0%
2023-12-12T18:23:47.857128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 65
 
4.3%
거 61
 
4.1%
대 55
 
3.7%
동 43
 
2.9%
로 43
 
2.9%
구 41
 
2.7%
교 39
 
2.6%
네 39
 
2.6%
성 38
 
2.5%
원 27
 
1.8%
Other values (233) 1046
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1445
96.5%
Space Separator 17
 
1.1%
Decimal Number 17
 
1.1%
Uppercase Letter 11
 
0.7%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 65
 
4.5%
거 61
 
4.2%
대 55
 
3.8%
동 43
 
3.0%
로 43
 
3.0%
구 41
 
2.8%
교 39
 
2.7%
네 39
 
2.7%
성 38
 
2.6%
원 27
 
1.9%
Other values (218) 994
68.8%
Decimal Number
ValueCountFrequency (%)
2 8
47.1%
1 4
23.5%
5 2
 
11.8%
6 1
 
5.9%
0 1
 
5.9%
8 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
I 3
27.3%
G 2
18.2%
L 2
18.2%
P 1
 
9.1%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1445
96.5%
Common 41
 
2.7%
Latin 11
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 65
 
4.5%
거 61
 
4.2%
대 55
 
3.8%
동 43
 
3.0%
로 43
 
3.0%
구 41
 
2.8%
교 39
 
2.7%
네 39
 
2.7%
성 38
 
2.6%
원 27
 
1.9%
Other values (218) 994
68.8%
Common
ValueCountFrequency (%)
17
41.5%
2 8
19.5%
1 4
 
9.8%
( 3
 
7.3%
) 3
 
7.3%
5 2
 
4.9%
~ 1
 
2.4%
6 1
 
2.4%
0 1
 
2.4%
8 1
 
2.4%
Latin
ValueCountFrequency (%)
C 3
27.3%
I 3
27.3%
G 2
18.2%
L 2
18.2%
P 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1445
96.5%
ASCII 52
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 65
 
4.5%
거 61
 
4.2%
대 55
 
3.8%
동 43
 
3.0%
로 43
 
3.0%
구 41
 
2.8%
교 39
 
2.7%
네 39
 
2.7%
성 38
 
2.6%
원 27
 
1.9%
Other values (218) 994
68.8%
ASCII
ValueCountFrequency (%)
17
32.7%
2 8
15.4%
1 4
 
7.7%
( 3
 
5.8%
) 3
 
5.8%
C 3
 
5.8%
I 3
 
5.8%
G 2
 
3.8%
5 2
 
3.8%
L 2
 
3.8%
Other values (5) 5
 
9.6%

종점
Text

Distinct241
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T18:23:48.147355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.3402062
Min length3

Characters and Unicode

Total characters1554
Distinct characters245
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

Unique210 ?
Unique (%)72.2%

Sample

1st row성당파출소
2nd row칠곡군경계
3rd row서대구IC
4th row봉산파출소
5th row서대구공단
ValueCountFrequency (%)
구마고속도로 10
 
3.2%
금호강 5
 
1.6%
대구우편집중국 4
 
1.3%
국채보상로 3
 
1.0%
국민연금관리공단 3
 
1.0%
성서공단로 3
 
1.0%
앞산순환로 3
 
1.0%
달구벌대로 3
 
1.0%
서대구공단 3
 
1.0%
호국로 3
 
1.0%
Other values (247) 272
87.2%
2023-12-12T18:23:48.572200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 50
 
3.2%
구 49
 
3.2%
리 44
 
2.8%
대 41
 
2.6%
거 36
 
2.3%
성 34
 
2.2%
공 34
 
2.2%
서 31
 
2.0%
산 30
 
1.9%
지 30
 
1.9%
Other values (235) 1175
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1492
96.0%
Space Separator 21
 
1.4%
Decimal Number 14
 
0.9%
Uppercase Letter 12
 
0.8%
Open Punctuation 7
 
0.5%
Close Punctuation 7
 
0.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 50
 
3.4%
구 49
 
3.3%
리 44
 
2.9%
대 41
 
2.7%
거 36
 
2.4%
성 34
 
2.3%
공 34
 
2.3%
서 31
 
2.1%
산 30
 
2.0%
지 30
 
2.0%
Other values (221) 1113
74.6%
Decimal Number
ValueCountFrequency (%)
2 6
42.9%
3 3
21.4%
4 3
21.4%
6 1
 
7.1%
1 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
I 4
33.3%
K 2
16.7%
B 1
 
8.3%
S 1
 
8.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1492
96.0%
Common 50
 
3.2%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 50
 
3.4%
구 49
 
3.3%
리 44
 
2.9%
대 41
 
2.7%
거 36
 
2.4%
성 34
 
2.3%
공 34
 
2.3%
서 31
 
2.1%
산 30
 
2.0%
지 30
 
2.0%
Other values (221) 1113
74.6%
Common
ValueCountFrequency (%)
21
42.0%
( 7
 
14.0%
) 7
 
14.0%
2 6
 
12.0%
3 3
 
6.0%
4 3
 
6.0%
~ 1
 
2.0%
6 1
 
2.0%
1 1
 
2.0%
Latin
ValueCountFrequency (%)
C 4
33.3%
I 4
33.3%
K 2
16.7%
B 1
 
8.3%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1492
96.0%
ASCII 62
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 50
 
3.4%
구 49
 
3.3%
리 44
 
2.9%
대 41
 
2.7%
거 36
 
2.4%
성 34
 
2.3%
공 34
 
2.3%
서 31
 
2.1%
산 30
 
2.0%
지 30
 
2.0%
Other values (221) 1113
74.6%
ASCII
ValueCountFrequency (%)
21
33.9%
( 7
 
11.3%
) 7
 
11.3%
2 6
 
9.7%
C 4
 
6.5%
I 4
 
6.5%
3 3
 
4.8%
4 3
 
4.8%
K 2
 
3.2%
B 1
 
1.6%
Other values (4) 4
 
6.5%

연장
Real number (ℝ)

HIGH CORRELATION 

Distinct266
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1980.8591
Minimum128
Maximum34690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T18:23:48.718527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128
5-th percentile345.5
Q1640.5
median1269
Q32346
95-th percentile5275
Maximum34690
Range34562
Interquartile range (IQR)1705.5

Descriptive statistics

Standard deviation2858.6205
Coefficient of variation (CV)1.4431216
Kurtosis63.799065
Mean1980.8591
Median Absolute Deviation (MAD)701
Skewness6.6374513
Sum576430
Variance8171711.1
MonotonicityNot monotonic
2023-12-12T18:23:48.880857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2350 3
 
1.0%
2440 3
 
1.0%
1450 3
 
1.0%
450 2
 
0.7%
1896 2
 
0.7%
525 2
 
0.7%
3900 2
 
0.7%
950 2
 
0.7%
1310 2
 
0.7%
1900 2
 
0.7%
Other values (256) 268
92.1%
ValueCountFrequency (%)
128 1
0.3%
164 1
0.3%
168 1
0.3%
226 1
0.3%
227 1
0.3%
228 1
0.3%
246 1
0.3%
254 1
0.3%
266 2
0.7%
277 1
0.3%
ValueCountFrequency (%)
34690 1
0.3%
16960 1
0.3%
16860 1
0.3%
10840 1
0.3%
10730 1
0.3%
9280 1
0.3%
9000 1
0.3%
8119 1
0.3%
7790 1
0.3%
7500 1
0.3%

주요경과지
Text

Distinct270
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T18:23:49.216685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.9175258
Min length2

Characters and Unicode

Total characters1722
Distinct characters293
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)86.9%

Sample

1st row성당시장
2nd row칠곡천주교회
3rd row신천
4th row대구향교
5th row서대구공업단지
ValueCountFrequency (%)
2단지 5
 
1.6%
대구역 3
 
0.9%
아름다운나날 3
 
0.9%
희성전자 3
 
0.9%
섬유제품관 3
 
0.9%
월드컵경기장 3
 
0.9%
성서공단 2
 
0.6%
남구청 2
 
0.6%
부영아파트 2
 
0.6%
이마트 2
 
0.6%
Other values (280) 292
91.2%
2023-12-12T18:23:49.727867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 71
 
4.1%
구 65
 
3.8%
지 49
 
2.8%
성 46
 
2.7%
아 35
 
2.0%
동 34
 
2.0%
트 34
 
2.0%
서 33
 
1.9%
파 32
 
1.9%
공 32
 
1.9%
Other values (283) 1291
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1609
93.4%
Space Separator 29
 
1.7%
Decimal Number 29
 
1.7%
Uppercase Letter 22
 
1.3%
Open Punctuation 16
 
0.9%
Close Punctuation 16
 
0.9%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 71
 
4.4%
구 65
 
4.0%
지 49
 
3.0%
성 46
 
2.9%
아 35
 
2.2%
동 34
 
2.1%
트 34
 
2.1%
서 33
 
2.1%
파 32
 
2.0%
공 32
 
2.0%
Other values (260) 1178
73.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
18.2%
L 3
13.6%
G 3
13.6%
E 2
9.1%
O 2
9.1%
X 2
9.1%
B 1
 
4.5%
P 1
 
4.5%
S 1
 
4.5%
K 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 13
44.8%
3 6
20.7%
0 3
 
10.3%
1 2
 
6.9%
6 2
 
6.9%
5 2
 
6.9%
7 1
 
3.4%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1610
93.5%
Common 90
 
5.2%
Latin 22
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 71
 
4.4%
구 65
 
4.0%
지 49
 
3.0%
성 46
 
2.9%
아 35
 
2.2%
동 34
 
2.1%
트 34
 
2.1%
서 33
 
2.0%
파 32
 
2.0%
공 32
 
2.0%
Other values (261) 1179
73.2%
Latin
ValueCountFrequency (%)
C 4
18.2%
L 3
13.6%
G 3
13.6%
E 2
9.1%
O 2
9.1%
X 2
9.1%
B 1
 
4.5%
P 1
 
4.5%
S 1
 
4.5%
K 1
 
4.5%
Other values (2) 2
9.1%
Common
ValueCountFrequency (%)
29
32.2%
( 16
17.8%
) 16
17.8%
2 13
14.4%
3 6
 
6.7%
0 3
 
3.3%
1 2
 
2.2%
6 2
 
2.2%
5 2
 
2.2%
7 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1609
93.4%
ASCII 112
 
6.5%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 71
 
4.4%
구 65
 
4.0%
지 49
 
3.0%
성 46
 
2.9%
아 35
 
2.2%
동 34
 
2.1%
트 34
 
2.1%
서 33
 
2.1%
파 32
 
2.0%
공 32
 
2.0%
Other values (260) 1178
73.2%
ASCII
ValueCountFrequency (%)
29
25.9%
( 16
14.3%
) 16
14.3%
2 13
11.6%
3 6
 
5.4%
C 4
 
3.6%
L 3
 
2.7%
G 3
 
2.7%
0 3
 
2.7%
1 2
 
1.8%
Other values (12) 17
15.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Interactions

2023-12-12T18:23:45.241489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:45.042047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:45.380912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:45.139945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:23:49.931180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호연장
일련번호1.0000.314
연장0.3141.000
2023-12-12T18:23:50.057705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호연장
일련번호1.000-0.550
연장-0.5501.000

Missing values

2023-12-12T18:23:45.610973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:23:45.746899image/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

일련번호가로명기점종점연장주요경과지
01양지로삼각지네거리성당파출소780성당시장
12칠곡로팔달교칠곡군경계7790칠곡천주교회
23신천대로상동교서대구IC16960신천
34명륜로덕산파출소봉산파출소1780대구향교
45와룡로본리공원삼거리서대구공단5020서대구공업단지
56동부로신천교효목지하차도2740고속버스터미널
67북비산로달성네거리서대구IC2440대평리시장
78구마로서부정류장남대구IC2690세강병원
89효성로봉덕네거리미리내아파트870화교학교
910들안길청구네거리수성못4190수성시장
일련번호가로명기점종점연장주요경과지
281282와룡초등로와룡공원서한2차749성서화성타운아파트
282283감천서길구마로달서구청1090월성주공3단지아파트
283284달서등기로달서소방서월성주공2단지965월성보성타운2단지
284285배실로서한2차아파트성서이곡운동장874삼일빌라트
285286공단북3길근로종합복지관성서공단로1124희성전자
286287호림3길호림로금호강1532희성전자
287288호산1로강창역상호림공원1567삼성상용차
288289성서공단남로1대구중공업달구벌대로3169영남일보㈜
289290대천로(칠곡)칠곡로주공그리빌4차1590화성센트럴파크
290291팔공산순환로동화사삼거리달구벌고등학교8119거목휴게소