Overview

Dataset statistics

Number of variables3
Number of observations1632
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.4 KiB
Average record size in memory24.1 B

Variable types

Text1
Categorical2

Dataset

Description울산광역시 내 구군별(남구, 중구, 동구, 북구, 울주군) 교차로 교통신호 제어기 관련 된 정보 제공을 하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15090775/fileData.do

Reproduction

Analysis started2023-12-12 07:00:52.755488
Analysis finished2023-12-12 07:00:53.187735
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교차로명
Text

Distinct1630
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
2023-12-12T16:00:53.398263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.8296569
Min length3

Characters and Unicode

Total characters11146
Distinct characters464
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1628 ?
Unique (%)99.8%

Sample

1st row(주)EG메탈앞
2nd row(주)덕양앞 단일로
3rd row(주)동진오토텍앞
4th row21C병원앞
5th row29호광장사거리
ValueCountFrequency (%)
테크노산단 12
 
0.7%
가 11
 
0.6%
나 11
 
0.6%
신규 9
 
0.5%
다 9
 
0.5%
라 9
 
0.5%
대현더샵 8
 
0.4%
덕망로 8
 
0.4%
입구 7
 
0.4%
중산지구 7
 
0.4%
Other values (1630) 1690
94.9%
2023-12-12T16:00:53.882350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
앞 472
 
4.2%
교 362
 
3.2%
리 354
 
3.2%
거 308
 
2.8%
로 281
 
2.5%
구 257
 
2.3%
산 243
 
2.2%
사 223
 
2.0%
동 193
 
1.7%
입 183
 
1.6%
Other values (454) 8270
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10172
91.3%
Decimal Number 430
 
3.9%
Uppercase Letter 192
 
1.7%
Space Separator 164
 
1.5%
Close Punctuation 68
 
0.6%
Open Punctuation 68
 
0.6%
Lowercase Letter 21
 
0.2%
Other Punctuation 12
 
0.1%
Dash Punctuation 11
 
0.1%
Other Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 472
 
4.6%
교 362
 
3.6%
리 354
 
3.5%
거 308
 
3.0%
로 281
 
2.8%
구 257
 
2.5%
산 243
 
2.4%
사 223
 
2.2%
동 193
 
1.9%
입 183
 
1.8%
Other values (409) 7296
71.7%
Uppercase Letter
ValueCountFrequency (%)
C 35
18.2%
R 23
12.0%
S 17
8.9%
I 17
8.9%
B 15
7.8%
K 15
7.8%
A 13
 
6.8%
T 8
 
4.2%
E 8
 
4.2%
G 5
 
2.6%
Other values (11) 36
18.8%
Decimal Number
ValueCountFrequency (%)
1 148
34.4%
2 114
26.5%
3 55
 
12.8%
0 27
 
6.3%
9 20
 
4.7%
6 15
 
3.5%
7 14
 
3.3%
5 14
 
3.3%
4 14
 
3.3%
8 9
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 11
52.4%
c 4
 
19.0%
k 3
 
14.3%
l 1
 
4.8%
i 1
 
4.8%
o 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
. 4
33.3%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10179
91.3%
Common 754
 
6.8%
Latin 213
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 472
 
4.6%
교 362
 
3.6%
리 354
 
3.5%
거 308
 
3.0%
로 281
 
2.8%
구 257
 
2.5%
산 243
 
2.4%
사 223
 
2.2%
동 193
 
1.9%
입 183
 
1.8%
Other values (410) 7303
71.7%
Latin
ValueCountFrequency (%)
C 35
16.4%
R 23
10.8%
S 17
 
8.0%
I 17
 
8.0%
B 15
 
7.0%
K 15
 
7.0%
A 13
 
6.1%
e 11
 
5.2%
T 8
 
3.8%
E 8
 
3.8%
Other values (17) 51
23.9%
Common
ValueCountFrequency (%)
164
21.8%
1 148
19.6%
2 114
15.1%
) 68
9.0%
( 68
9.0%
3 55
 
7.3%
0 27
 
3.6%
9 20
 
2.7%
6 15
 
2.0%
7 14
 
1.9%
Other values (7) 61
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10172
91.3%
ASCII 967
 
8.7%
None 7
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
앞 472
 
4.6%
교 362
 
3.6%
리 354
 
3.5%
거 308
 
3.0%
로 281
 
2.8%
구 257
 
2.5%
산 243
 
2.4%
사 223
 
2.2%
동 193
 
1.9%
입 183
 
1.8%
Other values (409) 7296
71.7%
ASCII
ValueCountFrequency (%)
164
17.0%
1 148
15.3%
2 114
11.8%
) 68
 
7.0%
( 68
 
7.0%
3 55
 
5.7%
C 35
 
3.6%
0 27
 
2.8%
R 23
 
2.4%
9 20
 
2.1%
Other values (34) 245
25.3%
None
ValueCountFrequency (%)
㈜ 7
100.0%

교차로형태
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
3지
694 
4지
655 
단일로
217 
없음
 
57
5지
 
6
Other values (2)
 
3

Length

Max length3
Median length2
Mean length2.1335784
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3지
2nd row단일로
3rd row4지
4th row3지
5th row4지

Common Values

ValueCountFrequency (%)
3지 694
42.5%
4지 655
40.1%
단일로 217
 
13.3%
없음 57
 
3.5%
5지 6
 
0.4%
6지 2
 
0.1%
로터리 1
 
0.1%

Length

2023-12-12T16:00:54.368326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:54.506096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3지 694
42.5%
4지 655
40.1%
단일로 217
 
13.3%
없음 57
 
3.5%
5지 6
 
0.4%
6지 2
 
0.1%
로터리 1
 
0.1%

지역
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
울주
516 
남구
385 
북구
367 
중구
248 
동구
115 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row남구
2nd row남구
3rd row북구
4th row북구
5th row북구

Common Values

ValueCountFrequency (%)
울주 516
31.6%
남구 385
23.6%
북구 367
22.5%
중구 248
15.2%
동구 115
 
7.0%
없음 1
 
0.1%

Length

2023-12-12T16:00:54.709277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:54.904704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주 516
31.6%
남구 385
23.6%
북구 367
22.5%
중구 248
15.2%
동구 115
 
7.0%
없음 1
 
0.1%

Correlations

2023-12-12T16:00:55.001534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교차로형태지역
교차로형태1.0000.120
지역0.1201.000
2023-12-12T16:00:55.105237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역교차로형태
지역1.0000.071
교차로형태0.0711.000
2023-12-12T16:00:55.197512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교차로형태지역
교차로형태1.0000.071
지역0.0711.000

Missing values

2023-12-12T16:00:53.064649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:00:53.151803image/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

교차로명교차로형태지역
0(주)EG메탈앞3지남구
1(주)덕양앞 단일로단일로남구
2(주)동진오토텍앞4지북구
321C병원앞3지북구
429호광장사거리4지북구
57765부대앞4지남구
6BNK호계지점3지북구
7CJ대한통운3지남구
8CNC앞삼거리3지북구
9CU명촌정문앞4지북구
교차로명교차로형태지역
1622효성해링턴앞4지북구
1623효성해링턴정문3지북구
1624효성해링턴주출입구4지북구
1625효정삼거리(모듈화단지입구)4지북구
1626후성울산공장앞3지남구
1627후평마을입구4지울주
1628힐스테이트강동입구3지북구
1629힐스테이트수암1단지(109동앞)3지남구
1630힐스테이트수암1단지(신남로앞)3지남구
1631힐스테이트수암2단지(신남로앞)4지남구