Overview

Dataset statistics

Number of variables28
Number of observations7111
Missing cells13700
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory233.0 B

Variable types

Numeric7
Categorical15
Text5
DateTime1

Dataset

Description남양주시 주요도로에 설치된 도로안내시설물(도로명판) 현황으로, 도로시설물구분(한전주,교통신호등,가로등 등)별 도로명, 기초번호 본번, 부번 등에 대한 위치 정보 제공
Author경기도 남양주시
URLhttps://www.data.go.kr/data/15054906/fileData.do

Alerts

행정구역 has constant value ""Constant
시설구분 has constant value ""Constant
설치상태 has constant value ""Constant
데이터기준일 has constant value ""Constant
양면내용상이여부 is highly imbalanced (77.3%)Imbalance
뒷면시작 기초번호부번 is highly imbalanced (99.8%)Imbalance
뒷면종료 기초번호부번 is highly imbalanced (99.8%)Imbalance
제2외국어여부 is highly imbalanced (91.7%)Imbalance
설치유형 is highly imbalanced (56.2%)Imbalance
제작형식 is highly imbalanced (99.2%)Imbalance
형식 is highly imbalanced (80.5%)Imbalance
재질 is highly imbalanced (76.0%)Imbalance
뒷면 도로명 has 6850 (96.3%) missing valuesMissing
뒷면 로마자 has 6850 (96.3%) missing valuesMissing
뒷면시작 기초번호본번 is highly skewed (γ1 = 27.4609348)Skewed
뒷면종료 기초번호본번 is highly skewed (γ1 = 23.65199138)Skewed
연번 has unique valuesUnique
앞면시작 기초번호부번 has 4950 (69.6%) zerosZeros
앞면종료 기초번호부번 has 4951 (69.6%) zerosZeros
뒷면시작 기초번호본번 has 6850 (96.3%) zerosZeros
뒷면종료 기초번호본번 has 6850 (96.3%) zerosZeros

Reproduction

Analysis started2023-12-12 04:19:01.564433
Analysis finished2023-12-12 04:19:02.929602
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct7111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3556
Minimum1
Maximum7111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-12T13:19:03.024410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile356.5
Q11778.5
median3556
Q35333.5
95-th percentile6755.5
Maximum7111
Range7110
Interquartile range (IQR)3555

Descriptive statistics

Standard deviation2052.9132
Coefficient of variation (CV)0.57730968
Kurtosis-1.2
Mean3556
Median Absolute Deviation (MAD)1778
Skewness0
Sum25286716
Variance4214452.7
MonotonicityStrictly increasing
2023-12-12T13:19:03.239060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4738 1
 
< 0.1%
4749 1
 
< 0.1%
4748 1
 
< 0.1%
4747 1
 
< 0.1%
4746 1
 
< 0.1%
4745 1
 
< 0.1%
4744 1
 
< 0.1%
4743 1
 
< 0.1%
4742 1
 
< 0.1%
Other values (7101) 7101
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
7111 1
< 0.1%
7110 1
< 0.1%
7109 1
< 0.1%
7108 1
< 0.1%
7107 1
< 0.1%
7106 1
< 0.1%
7105 1
< 0.1%
7104 1
< 0.1%
7103 1
< 0.1%
7102 1
< 0.1%

행정구역
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
남양주시
7111 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남양주시 7111
100.0%

Length

2023-12-12T13:19:03.452449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:03.583337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남양주시 7111
100.0%

시설구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
도로명판
7111 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로명판 7111
100.0%

Length

2023-12-12T13:19:03.726183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:03.896133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로명판 7111
100.0%

설치시설물
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
교통신호등
2584 
벽면부착
2059 
한전주
1184 
가로등
768 
통신전주
308 
Other values (4)
 
208

Length

Max length8
Median length5
Mean length4.1205175
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row벽면부착
2nd row교통신호등
3rd row벽면부착
4th row벽면부착
5th row벽면부착

Common Values

ValueCountFrequency (%)
교통신호등 2584
36.3%
벽면부착 2059
29.0%
한전주 1184
16.7%
가로등 768
 
10.8%
통신전주 308
 
4.3%
도로표지판 131
 
1.8%
CCTV등 지주 34
 
0.5%
전용지주 22
 
0.3%
기타 21
 
0.3%

Length

2023-12-12T13:19:04.069631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:04.226049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통신호등 2584
36.2%
벽면부착 2059
28.8%
한전주 1184
16.6%
가로등 768
 
10.7%
통신전주 308
 
4.3%
도로표지판 131
 
1.8%
cctv등 34
 
0.5%
지주 34
 
0.5%
전용지주 22
 
0.3%
기타 21
 
0.3%

설치위치
Text

Distinct6555
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
2023-12-12T13:19:04.554451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.8422163
Min length3

Characters and Unicode

Total characters69988
Distinct characters183
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

Unique6030 ?
Unique (%)84.8%

Sample

1st row가곡로 1
2nd row가곡로 2
3rd row가곡로 37-2
4th row가곡로 65
5th row가곡로 66-2
ValueCountFrequency (%)
2 644
 
4.5%
1 640
 
4.5%
비룡로 236
 
1.7%
송산로 138
 
1.0%
남가로 126
 
0.9%
수레로 114
 
0.8%
순화궁로 100
 
0.7%
진건오남로 99
 
0.7%
경춘로 84
 
0.6%
사릉로 83
 
0.6%
Other values (2773) 11936
84.1%
2023-12-12T13:19:05.028522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7111
 
10.2%
로 6939
 
9.9%
1 6710
 
9.6%
2 4795
 
6.9%
길 4006
 
5.7%
번 3452
 
4.9%
3 2816
 
4.0%
4 2236
 
3.2%
6 2183
 
3.1%
- 2025
 
2.9%
Other values (173) 27715
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32977
47.1%
Decimal Number 27875
39.8%
Space Separator 7111
 
10.2%
Dash Punctuation 2025
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 6939
21.0%
길 4006
 
12.1%
번 3452
 
10.5%
산 891
 
2.7%
경 655
 
2.0%
진 578
 
1.8%
강 536
 
1.6%
비 505
 
1.5%
춘 483
 
1.5%
금 464
 
1.4%
Other values (161) 14468
43.9%
Decimal Number
ValueCountFrequency (%)
1 6710
24.1%
2 4795
17.2%
3 2816
10.1%
4 2236
 
8.0%
6 2183
 
7.8%
5 2013
 
7.2%
9 1904
 
6.8%
7 1877
 
6.7%
8 1731
 
6.2%
0 1610
 
5.8%
Space Separator
ValueCountFrequency (%)
7111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2025
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37011
52.9%
Hangul 32977
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 6939
21.0%
길 4006
 
12.1%
번 3452
 
10.5%
산 891
 
2.7%
경 655
 
2.0%
진 578
 
1.8%
강 536
 
1.6%
비 505
 
1.5%
춘 483
 
1.5%
금 464
 
1.4%
Other values (161) 14468
43.9%
Common
ValueCountFrequency (%)
7111
19.2%
1 6710
18.1%
2 4795
13.0%
3 2816
 
7.6%
4 2236
 
6.0%
6 2183
 
5.9%
- 2025
 
5.5%
5 2013
 
5.4%
9 1904
 
5.1%
7 1877
 
5.1%
Other values (2) 3341
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37011
52.9%
Hangul 32977
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7111
19.2%
1 6710
18.1%
2 4795
13.0%
3 2816
 
7.6%
4 2236
 
6.0%
6 2183
 
5.9%
- 2025
 
5.5%
5 2013
 
5.4%
9 1904
 
5.1%
7 1877
 
5.1%
Other values (2) 3341
9.0%
Hangul
ValueCountFrequency (%)
로 6939
21.0%
길 4006
 
12.1%
번 3452
 
10.5%
산 891
 
2.7%
경 655
 
2.0%
진 578
 
1.8%
강 536
 
1.6%
비 505
 
1.5%
춘 483
 
1.5%
금 464
 
1.4%
Other values (161) 14468
43.9%

명판종류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
한 방향용
4376 
양 방향용
2474 
앞쪽 방향용
 
261

Length

Max length6
Median length5
Mean length5.0367037
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한 방향용
2nd row한 방향용
3rd row한 방향용
4th row양 방향용
5th row한 방향용

Common Values

ValueCountFrequency (%)
한 방향용 4376
61.5%
양 방향용 2474
34.8%
앞쪽 방향용 261
 
3.7%

Length

2023-12-12T13:19:05.180639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:05.294971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방향용 7111
50.0%
한 4376
30.8%
양 2474
 
17.4%
앞쪽 261
 
1.8%

양면내용상이여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
아니오
6850 
예
 
261

Length

Max length3
Median length3
Mean length2.9265926
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아니오 6850
96.3%
예 261
 
3.7%

Length

2023-12-12T13:19:05.470544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:05.603289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니오 6850
96.3%
예 261
 
3.7%

앞면 도로명
Text

Distinct916
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
2023-12-12T13:19:05.883580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.1307833
Min length3

Characters and Unicode

Total characters43596
Distinct characters181
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)1.4%

Sample

1st row가곡로
2nd row가곡로
3rd row가곡로
4th row가곡로
5th row가곡로
ValueCountFrequency (%)
비룡로 229
 
3.2%
송산로 129
 
1.8%
남가로 123
 
1.7%
수레로 114
 
1.6%
진건오남로 100
 
1.4%
순화궁로 98
 
1.4%
경춘로 86
 
1.2%
사릉로 80
 
1.1%
북한강로 76
 
1.1%
양진로 65
 
0.9%
Other values (906) 6011
84.5%
2023-12-12T13:19:06.428224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 6961
 
16.0%
길 4030
 
9.2%
번 3471
 
8.0%
1 2199
 
5.0%
2 1612
 
3.7%
3 1133
 
2.6%
6 936
 
2.1%
산 890
 
2.0%
9 874
 
2.0%
5 801
 
1.8%
Other values (171) 20689
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33109
75.9%
Decimal Number 10487
 
24.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 6961
21.0%
길 4030
 
12.2%
번 3471
 
10.5%
산 890
 
2.7%
경 671
 
2.0%
진 582
 
1.8%
강 537
 
1.6%
비 504
 
1.5%
춘 497
 
1.5%
금 464
 
1.4%
Other values (161) 14502
43.8%
Decimal Number
ValueCountFrequency (%)
1 2199
21.0%
2 1612
15.4%
3 1133
10.8%
6 936
8.9%
9 874
 
8.3%
5 801
 
7.6%
7 789
 
7.5%
4 776
 
7.4%
8 737
 
7.0%
0 630
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33109
75.9%
Common 10487
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 6961
21.0%
길 4030
 
12.2%
번 3471
 
10.5%
산 890
 
2.7%
경 671
 
2.0%
진 582
 
1.8%
강 537
 
1.6%
비 504
 
1.5%
춘 497
 
1.5%
금 464
 
1.4%
Other values (161) 14502
43.8%
Common
ValueCountFrequency (%)
1 2199
21.0%
2 1612
15.4%
3 1133
10.8%
6 936
8.9%
9 874
 
8.3%
5 801
 
7.6%
7 789
 
7.5%
4 776
 
7.4%
8 737
 
7.0%
0 630
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33109
75.9%
ASCII 10487
 
24.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 6961
21.0%
길 4030
 
12.2%
번 3471
 
10.5%
산 890
 
2.7%
경 671
 
2.0%
진 582
 
1.8%
강 537
 
1.6%
비 504
 
1.5%
춘 497
 
1.5%
금 464
 
1.4%
Other values (161) 14502
43.8%
ASCII
ValueCountFrequency (%)
1 2199
21.0%
2 1612
15.4%
3 1133
10.8%
6 936
8.9%
9 874
 
8.3%
5 801
 
7.6%
7 789
 
7.5%
4 776
 
7.4%
8 737
 
7.0%
0 630
 
6.0%

앞면 로마자
Text

Distinct1010
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
2023-12-12T13:19:06.777721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length17.941218
Min length7

Characters and Unicode

Total characters127580
Distinct characters51
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

Unique167 ?
Unique (%)2.3%

Sample

1st rowGagok-ro
2nd rowGagok-ro
3rd rowGagok-ro
4th rowGagok-ro
5th rowGagok-ro
ValueCountFrequency (%)
biryong-ro 439
 
3.7%
gyeongchun-ro 345
 
2.9%
1-ro 320
 
2.7%
sareung-ro 259
 
2.2%
songsan-ro 258
 
2.2%
jingeononam-ro 245
 
2.1%
sure-ro 241
 
2.1%
geumgang-ro 221
 
1.9%
dasanjungang-ro 179
 
1.5%
bukhangang-ro 176
 
1.5%
Other values (730) 9061
77.2%
2023-12-12T13:19:07.279032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 15926
12.5%
n 12725
 
10.0%
g 10772
 
8.4%
- 10733
 
8.4%
e 9272
 
7.3%
r 8343
 
6.5%
a 6870
 
5.4%
i 6049
 
4.7%
l 5273
 
4.1%
4633
 
3.6%
Other values (41) 36984
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 94614
74.2%
Dash Punctuation 10733
 
8.4%
Decimal Number 10492
 
8.2%
Uppercase Letter 7108
 
5.6%
Space Separator 4633
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 15926
16.8%
n 12725
13.4%
g 10772
11.4%
e 9272
9.8%
r 8343
8.8%
a 6870
7.3%
i 6049
 
6.4%
l 5273
 
5.6%
b 3907
 
4.1%
u 3598
 
3.8%
Other values (11) 11879
12.6%
Uppercase Letter
ValueCountFrequency (%)
G 1223
17.2%
B 1111
15.6%
S 1098
15.4%
D 784
11.0%
J 698
9.8%
N 437
 
6.1%
M 382
 
5.4%
H 313
 
4.4%
P 263
 
3.7%
Y 263
 
3.7%
Other values (8) 536
7.5%
Decimal Number
ValueCountFrequency (%)
1 2200
21.0%
2 1615
15.4%
3 1131
10.8%
6 934
8.9%
9 874
 
8.3%
5 807
 
7.7%
7 789
 
7.5%
4 774
 
7.4%
8 738
 
7.0%
0 630
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 10733
100.0%
Space Separator
ValueCountFrequency (%)
4633
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 101722
79.7%
Common 25858
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 15926
15.7%
n 12725
12.5%
g 10772
10.6%
e 9272
9.1%
r 8343
8.2%
a 6870
 
6.8%
i 6049
 
5.9%
l 5273
 
5.2%
b 3907
 
3.8%
u 3598
 
3.5%
Other values (29) 18987
18.7%
Common
ValueCountFrequency (%)
- 10733
41.5%
4633
17.9%
1 2200
 
8.5%
2 1615
 
6.2%
3 1131
 
4.4%
6 934
 
3.6%
9 874
 
3.4%
5 807
 
3.1%
7 789
 
3.1%
4 774
 
3.0%
Other values (2) 1368
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 15926
12.5%
n 12725
 
10.0%
g 10772
 
8.4%
- 10733
 
8.4%
e 9272
 
7.3%
r 8343
 
6.5%
a 6870
 
5.4%
i 6049
 
4.7%
l 5273
 
4.1%
4633
 
3.6%
Other values (41) 36984
29.0%

앞면시작 기초번호본번
Real number (ℝ)

Distinct977
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.26129
Minimum1
Maximum2735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-12T13:19:07.459445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19
median38
Q3131
95-th percentile969.5
Maximum2735
Range2734
Interquartile range (IQR)122

Descriptive statistics

Standard deviation350.92305
Coefficient of variation (CV)2.0371556
Kurtosis11.84819
Mean172.26129
Median Absolute Deviation (MAD)36
Skewness3.287739
Sum1224950
Variance123146.98
MonotonicityNot monotonic
2023-12-12T13:19:07.616132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1032
 
14.5%
2 309
 
4.3%
22 88
 
1.2%
13 85
 
1.2%
11 83
 
1.2%
12 80
 
1.1%
21 79
 
1.1%
19 79
 
1.1%
8 75
 
1.1%
9 75
 
1.1%
Other values (967) 5126
72.1%
ValueCountFrequency (%)
1 1032
14.5%
2 309
 
4.3%
3 68
 
1.0%
4 49
 
0.7%
5 68
 
1.0%
6 64
 
0.9%
7 68
 
1.0%
8 75
 
1.1%
9 75
 
1.1%
10 70
 
1.0%
ValueCountFrequency (%)
2735 1
< 0.1%
2585 1
< 0.1%
2565 1
< 0.1%
2521 1
< 0.1%
2516 1
< 0.1%
2510 1
< 0.1%
2483 2
< 0.1%
2436 1
< 0.1%
2411 1
< 0.1%
2376 1
< 0.1%

앞면시작 기초번호부번
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4556321
Minimum0
Maximum458
Zeros4950
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-12T13:19:07.793621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile16
Maximum458
Range458
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.683085
Coefficient of variation (CV)4.7576692
Kurtosis396.53782
Mean2.4556321
Median Absolute Deviation (MAD)0
Skewness14.496078
Sum17462
Variance136.49448
MonotonicityNot monotonic
2023-12-12T13:19:07.982188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4950
69.6%
1 1228
 
17.3%
2 407
 
5.7%
12 33
 
0.5%
16 31
 
0.4%
14 23
 
0.3%
18 22
 
0.3%
20 22
 
0.3%
22 20
 
0.3%
10 20
 
0.3%
Other values (86) 355
 
5.0%
ValueCountFrequency (%)
0 4950
69.6%
1 1228
 
17.3%
2 407
 
5.7%
3 2
 
< 0.1%
4 5
 
0.1%
5 11
 
0.2%
6 9
 
0.1%
7 10
 
0.1%
8 11
 
0.2%
9 13
 
0.2%
ValueCountFrequency (%)
458 1
< 0.1%
258 1
< 0.1%
171 1
< 0.1%
150 1
< 0.1%
145 2
< 0.1%
138 1
< 0.1%
137 1
< 0.1%
124 1
< 0.1%
117 1
< 0.1%
114 1
< 0.1%

앞면종료 기초번호본번
Real number (ℝ)

Distinct940
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.84179
Minimum1
Maximum8368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-12T13:19:08.204697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q117
median48
Q3142
95-th percentile1001.5
Maximum8368
Range8367
Interquartile range (IQR)125

Descriptive statistics

Standard deviation457.3122
Coefficient of variation (CV)2.3714372
Kurtosis117.96847
Mean192.84179
Median Absolute Deviation (MAD)41
Skewness8.0896331
Sum1371298
Variance209134.45
MonotonicityNot monotonic
2023-12-12T13:19:08.374828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 677
 
9.5%
2 233
 
3.3%
22 98
 
1.4%
20 91
 
1.3%
24 82
 
1.2%
26 81
 
1.1%
19 81
 
1.1%
36 80
 
1.1%
16 78
 
1.1%
15 76
 
1.1%
Other values (930) 5534
77.8%
ValueCountFrequency (%)
1 677
9.5%
2 233
 
3.3%
3 43
 
0.6%
4 43
 
0.6%
5 43
 
0.6%
6 49
 
0.7%
7 64
 
0.9%
8 68
 
1.0%
9 64
 
0.9%
10 61
 
0.9%
ValueCountFrequency (%)
8368 6
0.1%
8367 2
 
< 0.1%
2822 1
 
< 0.1%
2736 1
 
< 0.1%
2735 1
 
< 0.1%
2569 1
 
< 0.1%
2521 1
 
< 0.1%
2518 1
 
< 0.1%
2510 1
 
< 0.1%
2483 2
 
< 0.1%

앞면종료 기초번호부번
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6184784
Minimum0
Maximum504
Zeros4951
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-12T13:19:08.569472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile55
Maximum504
Range504
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.436963
Coefficient of variation (CV)2.6445932
Kurtosis58.064773
Mean9.6184784
Median Absolute Deviation (MAD)0
Skewness5.6894088
Sum68397
Variance647.03909
MonotonicityNot monotonic
2023-12-12T13:19:08.754120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4951
69.6%
1 336
 
4.7%
18 76
 
1.1%
2 73
 
1.0%
12 70
 
1.0%
22 66
 
0.9%
10 65
 
0.9%
16 62
 
0.9%
20 61
 
0.9%
14 59
 
0.8%
Other values (152) 1292
 
18.2%
ValueCountFrequency (%)
0 4951
69.6%
1 336
 
4.7%
2 73
 
1.0%
4 8
 
0.1%
5 11
 
0.2%
6 29
 
0.4%
7 14
 
0.2%
8 42
 
0.6%
9 17
 
0.2%
10 65
 
0.9%
ValueCountFrequency (%)
504 1
< 0.1%
458 1
< 0.1%
327 1
< 0.1%
321 1
< 0.1%
292 1
< 0.1%
270 1
< 0.1%
258 1
< 0.1%
257 1
< 0.1%
253 1
< 0.1%
232 1
< 0.1%

뒷면 도로명
Text

MISSING 

Distinct102
Distinct (%)39.1%
Missing6850
Missing (%)96.3%
Memory size55.7 KiB
2023-12-12T13:19:09.042861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length4.6858238
Min length3

Characters and Unicode

Total characters1223
Distinct characters104
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)24.5%

Sample

1st row가운로121번길
2nd row강변북로
3rd row경강로
4th row경강로
5th row덕소로
ValueCountFrequency (%)
송산로 31
 
11.9%
비룡로 25
 
9.6%
경춘로 12
 
4.6%
남가로 12
 
4.6%
불암로 12
 
4.6%
금강로 10
 
3.8%
백봉로 9
 
3.4%
경강로 8
 
3.1%
경춘북로 5
 
1.9%
부마로 4
 
1.5%
Other values (92) 133
51.0%
2023-12-12T13:19:09.501591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 259
21.2%
길 70
 
5.7%
산 67
 
5.5%
번 67
 
5.5%
1 48
 
3.9%
경 35
 
2.9%
송 33
 
2.7%
금 32
 
2.6%
다 30
 
2.5%
비 27
 
2.2%
Other values (94) 555
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1033
84.5%
Decimal Number 190
 
15.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 259
25.1%
길 70
 
6.8%
산 67
 
6.5%
번 67
 
6.5%
경 35
 
3.4%
송 33
 
3.2%
금 32
 
3.1%
다 30
 
2.9%
비 27
 
2.6%
룡 26
 
2.5%
Other values (84) 387
37.5%
Decimal Number
ValueCountFrequency (%)
1 48
25.3%
2 27
14.2%
6 24
12.6%
4 19
 
10.0%
3 18
 
9.5%
5 16
 
8.4%
9 11
 
5.8%
0 10
 
5.3%
8 9
 
4.7%
7 8
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1033
84.5%
Common 190
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 259
25.1%
길 70
 
6.8%
산 67
 
6.5%
번 67
 
6.5%
경 35
 
3.4%
송 33
 
3.2%
금 32
 
3.1%
다 30
 
2.9%
비 27
 
2.6%
룡 26
 
2.5%
Other values (84) 387
37.5%
Common
ValueCountFrequency (%)
1 48
25.3%
2 27
14.2%
6 24
12.6%
4 19
 
10.0%
3 18
 
9.5%
5 16
 
8.4%
9 11
 
5.8%
0 10
 
5.3%
8 9
 
4.7%
7 8
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1033
84.5%
ASCII 190
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 259
25.1%
길 70
 
6.8%
산 67
 
6.5%
번 67
 
6.5%
경 35
 
3.4%
송 33
 
3.2%
금 32
 
3.1%
다 30
 
2.9%
비 27
 
2.6%
룡 26
 
2.5%
Other values (84) 387
37.5%
ASCII
ValueCountFrequency (%)
1 48
25.3%
2 27
14.2%
6 24
12.6%
4 19
 
10.0%
3 18
 
9.5%
5 16
 
8.4%
9 11
 
5.8%
0 10
 
5.3%
8 9
 
4.7%
7 8
 
4.2%

뒷면 로마자
Text

MISSING 

Distinct103
Distinct (%)39.5%
Missing6850
Missing (%)96.3%
Memory size55.7 KiB
2023-12-12T13:19:09.778270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length14.337165
Min length7

Characters and Unicode

Total characters3742
Distinct characters46
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

Unique65 ?
Unique (%)24.9%

Sample

1st rowGaun-ro 121beon-gil
2nd rowGangbyeonbuk-ro
3rd rowGyeonggang-ro
4th rowGyeonggang-ro
5th rowDeokso-ro
ValueCountFrequency (%)
songsan-ro 32
 
9.6%
biryong-ro 24
 
7.2%
namga-ro 14
 
4.2%
dasanjigeum-ro 14
 
4.2%
gyeongchun-ro 14
 
4.2%
buram-ro 13
 
3.9%
geumgang-ro 11
 
3.3%
dasanjungang-ro 10
 
3.0%
baekbong-ro 9
 
2.7%
gyeonggang-ro 9
 
2.7%
Other values (105) 185
55.2%
2023-12-12T13:19:10.238462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 490
13.1%
n 419
11.2%
g 342
 
9.1%
- 329
 
8.8%
r 310
 
8.3%
a 261
 
7.0%
e 207
 
5.5%
i 141
 
3.8%
u 136
 
3.6%
b 97
 
2.6%
Other values (36) 1010
27.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2886
77.1%
Dash Punctuation 329
 
8.8%
Uppercase Letter 261
 
7.0%
Decimal Number 192
 
5.1%
Space Separator 74
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 490
17.0%
n 419
14.5%
g 342
11.9%
r 310
10.7%
a 261
9.0%
e 207
7.2%
i 141
 
4.9%
u 136
 
4.7%
b 97
 
3.4%
s 85
 
2.9%
Other values (10) 398
13.8%
Uppercase Letter
ValueCountFrequency (%)
B 58
22.2%
G 54
20.7%
S 48
18.4%
D 39
14.9%
M 15
 
5.7%
N 15
 
5.7%
J 9
 
3.4%
Y 8
 
3.1%
C 4
 
1.5%
O 3
 
1.1%
Other values (4) 8
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 49
25.5%
2 27
14.1%
6 24
12.5%
4 19
 
9.9%
3 18
 
9.4%
5 16
 
8.3%
9 11
 
5.7%
8 10
 
5.2%
0 10
 
5.2%
7 8
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3147
84.1%
Common 595
 
15.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 490
15.6%
n 419
13.3%
g 342
10.9%
r 310
9.9%
a 261
 
8.3%
e 207
 
6.6%
i 141
 
4.5%
u 136
 
4.3%
b 97
 
3.1%
s 85
 
2.7%
Other values (24) 659
20.9%
Common
ValueCountFrequency (%)
- 329
55.3%
74
 
12.4%
1 49
 
8.2%
2 27
 
4.5%
6 24
 
4.0%
4 19
 
3.2%
3 18
 
3.0%
5 16
 
2.7%
9 11
 
1.8%
8 10
 
1.7%
Other values (2) 18
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 490
13.1%
n 419
11.2%
g 342
 
9.1%
- 329
 
8.8%
r 310
 
8.3%
a 261
 
7.0%
e 207
 
5.5%
i 141
 
3.8%
u 136
 
3.6%
b 97
 
2.6%
Other values (36) 1010
27.0%

뒷면시작 기초번호본번
Real number (ℝ)

SKEWED  ZEROS 

Distinct179
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.161159
Minimum0
Maximum8368
Zeros6850
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-12T13:19:10.377389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8368
Range8368
Interquartile range (IQR)0

Descriptive statistics

Standard deviation214.27862
Coefficient of variation (CV)11.798731
Kurtosis990.67286
Mean18.161159
Median Absolute Deviation (MAD)0
Skewness27.460935
Sum129144
Variance45915.326
MonotonicityNot monotonic
2023-12-12T13:19:10.510324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6850
96.3%
1 39
 
0.5%
2 10
 
0.1%
203 3
 
< 0.1%
8368 3
 
< 0.1%
24 3
 
< 0.1%
36 3
 
< 0.1%
94 3
 
< 0.1%
138 2
 
< 0.1%
153 2
 
< 0.1%
Other values (169) 193
 
2.7%
ValueCountFrequency (%)
0 6850
96.3%
1 39
 
0.5%
2 10
 
0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
20 2
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
8368 3
< 0.1%
2585 1
 
< 0.1%
2355 1
 
< 0.1%
2081 1
 
< 0.1%
2048 1
 
< 0.1%
1983 1
 
< 0.1%
1914 1
 
< 0.1%
1868 2
< 0.1%
1816 1
 
< 0.1%
1802 1
 
< 0.1%

뒷면시작 기초번호부번
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0
7110 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 7110
> 99.9%
2 1
 
< 0.1%

Length

2023-12-12T13:19:10.646178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:10.745335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7110
> 99.9%
2 1
 
< 0.1%

뒷면종료 기초번호본번
Real number (ℝ)

SKEWED  ZEROS 

Distinct75
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.374209
Minimum0
Maximum8367
Zeros6850
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-12T13:19:10.864943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8367
Range8367
Interquartile range (IQR)0

Descriptive statistics

Standard deviation174.12185
Coefficient of variation (CV)13.019226
Kurtosis850.75766
Mean13.374209
Median Absolute Deviation (MAD)0
Skewness23.651991
Sum95104
Variance30318.419
MonotonicityNot monotonic
2023-12-12T13:19:10.997963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6850
96.3%
2 82
 
1.2%
1 63
 
0.9%
1867 10
 
0.1%
1181 7
 
0.1%
2735 6
 
0.1%
1182 5
 
0.1%
363 4
 
0.1%
59 4
 
0.1%
364 3
 
< 0.1%
Other values (65) 77
 
1.1%
ValueCountFrequency (%)
0 6850
96.3%
1 63
 
0.9%
2 82
 
1.2%
15 1
 
< 0.1%
18 1
 
< 0.1%
21 2
 
< 0.1%
22 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
28 1
 
< 0.1%
ValueCountFrequency (%)
8367 1
 
< 0.1%
2736 3
 
< 0.1%
2735 6
0.1%
2313 1
 
< 0.1%
1868 1
 
< 0.1%
1867 10
0.1%
1866 1
 
< 0.1%
1745 1
 
< 0.1%
1451 1
 
< 0.1%
1182 5
0.1%

뒷면종료 기초번호부번
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0
7110 
62
 
1

Length

Max length2
Median length1
Mean length1.0001406
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 7110
> 99.9%
62 1
 
< 0.1%

Length

2023-12-12T13:19:11.545394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:11.668552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7110
> 99.9%
62 1
 
< 0.1%

제2외국어여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
미표기
7037 
단독 언어
 
74

Length

Max length5
Median length3
Mean length3.0208128
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미표기 7037
99.0%
단독 언어 74
 
1.0%

Length

2023-12-12T13:19:11.817056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:11.957283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미표기 7037
97.9%
단독 74
 
1.0%
언어 74
 
1.0%

설치상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
정상
7111 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 7111
100.0%

Length

2023-12-12T13:19:12.078355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:12.199776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 7111
100.0%

설치유형
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
현수식
5047 
벽부착식
2059 
전용지주식
 
3
기타
 
2

Length

Max length5
Median length3
Mean length3.2901139
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row벽부착식
2nd row현수식
3rd row벽부착식
4th row벽부착식
5th row벽부착식

Common Values

ValueCountFrequency (%)
현수식 5047
71.0%
벽부착식 2059
29.0%
전용지주식 3
 
< 0.1%
기타 2
 
< 0.1%

Length

2023-12-12T13:19:12.356803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:12.500144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현수식 5047
71.0%
벽부착식 2059
29.0%
전용지주식 3
 
< 0.1%
기타 2
 
< 0.1%

제작형식
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
기본형
7106 
조명형(전기)
 
5

Length

Max length7
Median length3
Mean length3.0028125
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본형 7106
99.9%
조명형(전기) 5
 
0.1%

Length

2023-12-12T13:19:12.671507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:12.875398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본형 7106
99.9%
조명형(전기 5
 
0.1%

형식
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
표준형
6897 
비표준형
 
214

Length

Max length4
Median length3
Mean length3.0300942
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
표준형 6897
97.0%
비표준형 214
 
3.0%

Length

2023-12-12T13:19:13.031707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:13.168672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표준형 6897
97.0%
비표준형 214
 
3.0%

사용대상
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
보행자용
4513 
차량용
2598 

Length

Max length4
Median length4
Mean length3.6346505
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보행자용
2nd row차량용
3rd row보행자용
4th row보행자용
5th row보행자용

Common Values

ValueCountFrequency (%)
보행자용 4513
63.5%
차량용 2598
36.5%

Length

2023-12-12T13:19:13.304583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:13.437943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보행자용 4513
63.5%
차량용 2598
36.5%

규격
Categorical

Distinct34
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
600*160
1475 
1450*350
807 
1050*260
639 
950*260
580 
1700*450
502 
Other values (29)
3108 

Length

Max length8
Median length8
Mean length7.4521164
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row600*160
2nd row1250*450
3rd row600*160
4th row650*160
5th row600*160

Common Values

ValueCountFrequency (%)
600*160 1475
20.7%
1450*350 807
11.3%
1050*260 639
9.0%
950*260 580
 
8.2%
1700*450 502
 
7.1%
2000*450 345
 
4.9%
650*160 340
 
4.8%
1150*260 333
 
4.7%
700*260 290
 
4.1%
1300*260 278
 
3.9%
Other values (24) 1522
21.4%

Length

2023-12-12T13:19:13.617251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
600*160 1475
20.7%
1450*350 807
11.3%
1050*260 639
9.0%
950*260 580
 
8.2%
1700*450 502
 
7.1%
2000*450 345
 
4.9%
650*160 340
 
4.8%
1150*260 333
 
4.7%
700*260 290
 
4.1%
1300*260 278
 
3.9%
Other values (24) 1522
21.4%

재질
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
알루미늄
6595 
스테인레스
 
512
기타
 
4

Length

Max length5
Median length4
Mean length4.0708761
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
알루미늄 6595
92.7%
스테인레스 512
 
7.2%
기타 4
 
0.1%

Length

2023-12-12T13:19:13.835663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:13.984299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
알루미늄 6595
92.7%
스테인레스 512
 
7.2%
기타 4
 
0.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
Minimum2022-01-01 00:00:00
Maximum2022-01-01 00:00:00
2023-12-12T13:19:14.132000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:19:14.301461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번행정구역시설구분설치시설물설치위치명판종류양면내용상이여부앞면 도로명앞면 로마자앞면시작 기초번호본번앞면시작 기초번호부번앞면종료 기초번호본번앞면종료 기초번호부번뒷면 도로명뒷면 로마자뒷면시작 기초번호본번뒷면시작 기초번호부번뒷면종료 기초번호본번뒷면종료 기초번호부번제2외국어여부설치상태설치유형제작형식형식사용대상규격재질데이터기준일
01남양주시도로명판벽면부착가곡로 1한 방향용아니오가곡로Gagok-ro102010<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
12남양주시도로명판교통신호등가곡로 2한 방향용아니오가곡로Gagok-ro202020<NA><NA>0000미표기정상현수식기본형표준형차량용1250*450알루미늄2022-01-01
23남양주시도로명판벽면부착가곡로 37-2한 방향용아니오가곡로Gagok-ro3713710<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
34남양주시도로명판벽면부착가곡로 65양 방향용아니오가곡로Gagok-ro630670<NA><NA>0000미표기정상벽부착식기본형표준형보행자용650*160알루미늄2022-01-01
45남양주시도로명판벽면부착가곡로 66-2한 방향용아니오가곡로Gagok-ro6616644<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
56남양주시도로명판벽면부착가곡로 151-1한 방향용아니오가곡로Gagok-ro151115132<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
67남양주시도로명판한전주가곡로112번길 1한 방향용아니오가곡로112번길Gagok-ro 112beon-gil10200<NA><NA>0000미표기정상현수식기본형표준형차량용1450*350알루미늄2022-01-01
78남양주시도로명판벽면부착가곡로112번길 1한 방향용아니오가곡로112번길Gagok-ro 112beon-gil10200<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
89남양주시도로명판벽면부착가곡로112번길 11-2한 방향용아니오가곡로112번길Gagok-ro 112beon-gil111118<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
910남양주시도로명판통신전주가곡로112번길 19한 방향용아니오가곡로112번길Gagok-ro 112beon-gil20010<NA><NA>0000미표기정상현수식기본형표준형차량용1450*350알루미늄2022-01-01
연번행정구역시설구분설치시설물설치위치명판종류양면내용상이여부앞면 도로명앞면 로마자앞면시작 기초번호본번앞면시작 기초번호부번앞면종료 기초번호본번앞면종료 기초번호부번뒷면 도로명뒷면 로마자뒷면시작 기초번호본번뒷면시작 기초번호부번뒷면종료 기초번호본번뒷면종료 기초번호부번제2외국어여부설치상태설치유형제작형식형식사용대상규격재질데이터기준일
71017102남양주시도로명판벽면부착561-34한 방향용아니오경춘북로Gyeongchunbuk-ro561345611<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71027103남양주시도로명판벽면부착561-1한 방향용아니오경춘북로Gyeongchunbuk-ro561156133<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71037104남양주시도로명판벽면부착564-6양 방향용아니오경춘북로Gyeongchunbuk-ro56485644<NA><NA>0000미표기정상벽부착식기본형표준형보행자용650*160알루미늄2022-01-01
71047105남양주시도로명판벽면부착564-2한 방향용아니오경춘북로Gyeongchunbuk-ro564256418<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71057106남양주시도로명판벽면부착578-8한 방향용아니오경춘북로Gyeongchunbuk-ro57875781<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71067107남양주시도로명판벽면부착578-2한 방향용아니오경춘북로Gyeongchunbuk-ro57815787<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71077108남양주시도로명판벽면부착736-1한 방향용아니오경춘북로Gyeongchunbuk-ro736173648<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71087109남양주시도로명판벽면부착739-1한 방향용아니오경춘북로Gyeongchunbuk-ro739173928<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71097110남양주시도로명판벽면부착749-1한 방향용아니오경춘북로Gyeongchunbuk-ro749174922<NA><NA>0000미표기정상벽부착식기본형표준형보행자용600*160알루미늄2022-01-01
71107111남양주시도로명판도로표지판1843앞쪽 방향용예남가로Namga-ro1866020남가로Namga-ro2018660미표기정상현수식기본형표준형차량용1170*450알루미늄2022-01-01