Overview

Dataset statistics

Number of variables31
Number of observations4026
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1014.5 KiB
Average record size in memory258.0 B

Variable types

Numeric8
Categorical18
Text3
DateTime2

Dataset

Description인천광역시 연수구의 도로명판 설치 현황 데이터로서 연번, 시군구명, 시설일련번호, 시설구분, 설치위치 등의 항목으로 이루어져 있습니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15118219&srcSe=7661IVAWM27C61E190

Alerts

시군구명 has constant value ""Constant
시설구분 has constant value ""Constant
뒷면시작기초번호부번 has constant value ""Constant
뒷면종료기초번호부번 has constant value ""Constant
형식 has constant value ""Constant
제2외국어 has constant value ""Constant
뒷면한글도로명 is highly imbalanced (93.8%)Imbalance
뒷면로마자도로명 is highly imbalanced (93.9%)Imbalance
설치상태 is highly imbalanced (75.1%)Imbalance
광역도로구분 is highly imbalanced (54.9%)Imbalance
조명여부 is highly imbalanced (95.8%)Imbalance
설치유형 is highly imbalanced (63.4%)Imbalance
연번 has unique valuesUnique
시설일련번호 has unique valuesUnique
앞면시작기초번호부번 has 3645 (90.5%) zerosZeros
앞면종료기초번호부번 has 3645 (90.5%) zerosZeros
뒷면시작기초번호본번 has 3913 (97.2%) zerosZeros
뒷면종료기초번호본번 has 3913 (97.2%) zerosZeros

Reproduction

Analysis started2024-04-18 01:41:02.968437
Analysis finished2024-04-18 01:41:03.579520
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct4026
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.5
Minimum1
Maximum4026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:03.644031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile202.25
Q11007.25
median2013.5
Q33019.75
95-th percentile3824.75
Maximum4026
Range4025
Interquartile range (IQR)2012.5

Descriptive statistics

Standard deviation1162.3504
Coefficient of variation (CV)0.57727858
Kurtosis-1.2
Mean2013.5
Median Absolute Deviation (MAD)1006.5
Skewness0
Sum8106351
Variance1351058.5
MonotonicityStrictly increasing
2024-04-18T10:41:03.756340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2690 1
 
< 0.1%
2677 1
 
< 0.1%
2678 1
 
< 0.1%
2679 1
 
< 0.1%
2680 1
 
< 0.1%
2681 1
 
< 0.1%
2682 1
 
< 0.1%
2683 1
 
< 0.1%
2684 1
 
< 0.1%
Other values (4016) 4016
99.8%
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 (%)
4026 1
< 0.1%
4025 1
< 0.1%
4024 1
< 0.1%
4023 1
< 0.1%
4022 1
< 0.1%
4021 1
< 0.1%
4020 1
< 0.1%
4019 1
< 0.1%
4018 1
< 0.1%
4017 1
< 0.1%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
연수구
4026 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연수구 4026
100.0%

Length

2024-04-18T10:41:03.861775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:03.939508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연수구 4026
100.0%

시설일련번호
Real number (ℝ)

UNIQUE 

Distinct4026
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3037.1391
Minimum1
Maximum5914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:04.022388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile249.25
Q11361.5
median3276.5
Q34708.75
95-th percentile5679.75
Maximum5914
Range5913
Interquartile range (IQR)3347.25

Descriptive statistics

Standard deviation1810.0602
Coefficient of variation (CV)0.59597541
Kurtosis-1.3520338
Mean3037.1391
Median Absolute Deviation (MAD)1657.5
Skewness-0.094393265
Sum12227522
Variance3276318
MonotonicityNot monotonic
2024-04-18T10:41:04.142238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311 1
 
< 0.1%
4914 1
 
< 0.1%
4936 1
 
< 0.1%
5597 1
 
< 0.1%
3296 1
 
< 0.1%
5596 1
 
< 0.1%
3299 1
 
< 0.1%
5525 1
 
< 0.1%
3298 1
 
< 0.1%
5523 1
 
< 0.1%
Other values (4016) 4016
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
ValueCountFrequency (%)
5914 1
< 0.1%
5913 1
< 0.1%
5912 1
< 0.1%
5911 1
< 0.1%
5910 1
< 0.1%
5909 1
< 0.1%
5908 1
< 0.1%
5907 1
< 0.1%
5906 1
< 0.1%
5905 1
< 0.1%

시설구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
도로명판
4026 

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 4026
100.0%

Length

2024-04-18T10:41:04.903754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:04.982953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로명판 4026
100.0%

설치위치
Text

Distinct3631
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
2024-04-18T10:41:05.136820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.6803279
Min length5

Characters and Unicode

Total characters38973
Distinct characters127
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

Unique3265 ?
Unique (%)81.1%

Sample

1st row갯벌로 1
2nd row갯벌로 65
3rd row갯벌로 66
4th row갯벌로 67
5th row갯벌로 105
ValueCountFrequency (%)
2 327
 
4.1%
1 293
 
3.6%
비류대로 108
 
1.3%
아카데미로 103
 
1.3%
경원대로 71
 
0.9%
먼우금로 70
 
0.9%
앵고개로 70
 
0.9%
한나루로 69
 
0.9%
인천타워대로 64
 
0.8%
센트럴로 60
 
0.7%
Other values (1169) 6817
84.7%
2024-04-18T10:41:05.418861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4026
 
10.3%
로 4025
 
10.3%
1 3026
 
7.8%
2 2479
 
6.4%
길 1944
 
5.0%
번 1943
 
5.0%
3 1329
 
3.4%
대 1285
 
3.3%
4 1278
 
3.3%
5 1172
 
3.0%
Other values (117) 16466
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20658
53.0%
Decimal Number 13922
35.7%
Space Separator 4026
 
10.3%
Dash Punctuation 367
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4025
19.5%
길 1944
 
9.4%
번 1943
 
9.4%
대 1285
 
6.2%
송 501
 
2.4%
아 500
 
2.4%
청 418
 
2.0%
도 404
 
2.0%
학 292
 
1.4%
미 276
 
1.3%
Other values (105) 9070
43.9%
Decimal Number
ValueCountFrequency (%)
1 3026
21.7%
2 2479
17.8%
3 1329
9.5%
4 1278
9.2%
5 1172
 
8.4%
7 1030
 
7.4%
8 969
 
7.0%
6 919
 
6.6%
0 888
 
6.4%
9 832
 
6.0%
Space Separator
ValueCountFrequency (%)
4026
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 367
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20658
53.0%
Common 18315
47.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4025
19.5%
길 1944
 
9.4%
번 1943
 
9.4%
대 1285
 
6.2%
송 501
 
2.4%
아 500
 
2.4%
청 418
 
2.0%
도 404
 
2.0%
학 292
 
1.4%
미 276
 
1.3%
Other values (105) 9070
43.9%
Common
ValueCountFrequency (%)
4026
22.0%
1 3026
16.5%
2 2479
13.5%
3 1329
 
7.3%
4 1278
 
7.0%
5 1172
 
6.4%
7 1030
 
5.6%
8 969
 
5.3%
6 919
 
5.0%
0 888
 
4.8%
Other values (2) 1199
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20658
53.0%
ASCII 18315
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4026
22.0%
1 3026
16.5%
2 2479
13.5%
3 1329
 
7.3%
4 1278
 
7.0%
5 1172
 
6.4%
7 1030
 
5.6%
8 969
 
5.3%
6 919
 
5.0%
0 888
 
4.8%
Other values (2) 1199
 
6.5%
Hangul
ValueCountFrequency (%)
로 4025
19.5%
길 1944
 
9.4%
번 1943
 
9.4%
대 1285
 
6.2%
송 501
 
2.4%
아 500
 
2.4%
청 418
 
2.0%
도 404
 
2.0%
학 292
 
1.4%
미 276
 
1.3%
Other values (105) 9070
43.9%

앞면한글도로명
Text

Distinct453
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
2024-04-18T10:41:05.675096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.3467462
Min length3

Characters and Unicode

Total characters25552
Distinct characters125
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

Unique31 ?
Unique (%)0.8%

Sample

1st row갯벌로
2nd row갯벌로
3rd row갯벌로
4th row갯벌로
5th row갯벌로
ValueCountFrequency (%)
비류대로 108
 
2.7%
아카데미로 103
 
2.6%
경원대로 73
 
1.8%
한나루로 71
 
1.8%
먼우금로 70
 
1.7%
앵고개로 70
 
1.7%
인천타워대로 63
 
1.6%
센트럴로 60
 
1.5%
능허대로 58
 
1.4%
함박뫼로 58
 
1.4%
Other values (443) 3292
81.8%
2024-04-18T10:41:06.004146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 4025
 
15.8%
길 1957
 
7.7%
번 1956
 
7.7%
대 1289
 
5.0%
2 877
 
3.4%
1 871
 
3.4%
송 501
 
2.0%
아 500
 
2.0%
3 479
 
1.9%
4 451
 
1.8%
Other values (115) 12646
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20692
81.0%
Decimal Number 4860
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4025
19.5%
길 1957
 
9.5%
번 1956
 
9.5%
대 1289
 
6.2%
송 501
 
2.4%
아 500
 
2.4%
청 409
 
2.0%
도 404
 
2.0%
학 288
 
1.4%
미 276
 
1.3%
Other values (105) 9087
43.9%
Decimal Number
ValueCountFrequency (%)
2 877
18.0%
1 871
17.9%
3 479
9.9%
4 451
9.3%
5 420
8.6%
7 390
8.0%
9 350
 
7.2%
0 349
 
7.2%
8 348
 
7.2%
6 325
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20692
81.0%
Common 4860
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4025
19.5%
길 1957
 
9.5%
번 1956
 
9.5%
대 1289
 
6.2%
송 501
 
2.4%
아 500
 
2.4%
청 409
 
2.0%
도 404
 
2.0%
학 288
 
1.4%
미 276
 
1.3%
Other values (105) 9087
43.9%
Common
ValueCountFrequency (%)
2 877
18.0%
1 871
17.9%
3 479
9.9%
4 451
9.3%
5 420
8.6%
7 390
8.0%
9 350
 
7.2%
0 349
 
7.2%
8 348
 
7.2%
6 325
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20692
81.0%
ASCII 4860
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 4025
19.5%
길 1957
 
9.5%
번 1956
 
9.5%
대 1289
 
6.2%
송 501
 
2.4%
아 500
 
2.4%
청 409
 
2.0%
도 404
 
2.0%
학 288
 
1.4%
미 276
 
1.3%
Other values (105) 9087
43.9%
ASCII
ValueCountFrequency (%)
2 877
18.0%
1 871
17.9%
3 479
9.9%
4 451
9.3%
5 420
8.6%
7 390
8.0%
9 350
 
7.2%
0 349
 
7.2%
8 348
 
7.2%
6 325
 
6.7%

앞면로마자도로명
Text

Distinct504
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
2024-04-18T10:41:06.204126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length17.985097
Min length8

Characters and Unicode

Total characters72408
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)1.4%

Sample

1st rowGaetbeol-ro
2nd rowGaetbeol-ro
3rd rowGaetbeol-ro
4th rowGaetbeol-ro
5th rowGaetbeol-ro
ValueCountFrequency (%)
biryu-daero 250
 
4.0%
academy-ro 180
 
2.9%
cheongnyang-ro 149
 
2.4%
incheon 144
 
2.3%
tower-daero 144
 
2.3%
hannaru-ro 139
 
2.2%
convensia-daero 128
 
2.1%
songdogwahak-ro 124
 
2.0%
meonugeum-ro 124
 
2.0%
aenggogae-ro 110
 
1.8%
Other values (308) 4725
76.0%
2024-04-18T10:41:06.517522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 9609
13.3%
e 6821
 
9.4%
n 6476
 
8.9%
- 5980
 
8.3%
r 5046
 
7.0%
a 4726
 
6.5%
g 4553
 
6.3%
i 3000
 
4.1%
b 2416
 
3.3%
l 2360
 
3.3%
Other values (44) 21421
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 55350
76.4%
Dash Punctuation 5980
 
8.3%
Decimal Number 4856
 
6.7%
Uppercase Letter 4029
 
5.6%
Space Separator 2191
 
3.0%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 9609
17.4%
e 6821
12.3%
n 6476
11.7%
r 5046
9.1%
a 4726
8.5%
g 4553
8.2%
i 3000
 
5.4%
b 2416
 
4.4%
l 2360
 
4.3%
d 2273
 
4.1%
Other values (12) 8070
14.6%
Uppercase Letter
ValueCountFrequency (%)
S 702
17.4%
C 695
17.2%
H 685
17.0%
A 419
10.4%
B 319
7.9%
I 189
 
4.7%
M 168
 
4.2%
G 156
 
3.9%
N 142
 
3.5%
Y 118
 
2.9%
Other values (8) 436
10.8%
Decimal Number
ValueCountFrequency (%)
2 876
18.0%
1 869
17.9%
3 480
9.9%
4 451
9.3%
5 418
8.6%
7 391
8.1%
9 350
 
7.2%
0 349
 
7.2%
8 348
 
7.2%
6 324
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 5980
100.0%
Space Separator
ValueCountFrequency (%)
2191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 59379
82.0%
Common 13029
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 9609
16.2%
e 6821
11.5%
n 6476
10.9%
r 5046
8.5%
a 4726
 
8.0%
g 4553
 
7.7%
i 3000
 
5.1%
b 2416
 
4.1%
l 2360
 
4.0%
d 2273
 
3.8%
Other values (30) 12099
20.4%
Common
ValueCountFrequency (%)
- 5980
45.9%
2191
 
16.8%
2 876
 
6.7%
1 869
 
6.7%
3 480
 
3.7%
4 451
 
3.5%
5 418
 
3.2%
7 391
 
3.0%
9 350
 
2.7%
0 349
 
2.7%
Other values (4) 674
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 9609
13.3%
e 6821
 
9.4%
n 6476
 
8.9%
- 5980
 
8.3%
r 5046
 
7.0%
a 4726
 
6.5%
g 4553
 
6.3%
i 3000
 
4.1%
b 2416
 
3.3%
l 2360
 
3.3%
Other values (44) 21421
29.6%

앞면시작기초번호본번
Real number (ℝ)

Distinct484
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.6155
Minimum1
Maximum892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:06.632849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q115
median50
Q3133
95-th percentile377
Maximum892
Range891
Interquartile range (IQR)118

Descriptive statistics

Standard deviation133.14435
Coefficient of variation (CV)1.3232986
Kurtosis6.8680265
Mean100.6155
Median Absolute Deviation (MAD)46
Skewness2.393122
Sum405078
Variance17727.417
MonotonicityNot monotonic
2024-04-18T10:41:06.734150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 345
 
8.6%
2 312
 
7.7%
21 47
 
1.2%
20 45
 
1.1%
8 44
 
1.1%
7 44
 
1.1%
17 42
 
1.0%
28 41
 
1.0%
19 38
 
0.9%
23 37
 
0.9%
Other values (474) 3031
75.3%
ValueCountFrequency (%)
1 345
8.6%
2 312
7.7%
3 13
 
0.3%
4 6
 
0.1%
5 25
 
0.6%
6 23
 
0.6%
7 44
 
1.1%
8 44
 
1.1%
9 25
 
0.6%
10 27
 
0.7%
ValueCountFrequency (%)
892 2
< 0.1%
882 2
< 0.1%
879 1
< 0.1%
877 2
< 0.1%
876 1
< 0.1%
861 1
< 0.1%
832 1
< 0.1%
797 1
< 0.1%
794 1
< 0.1%
744 1
< 0.1%

앞면시작기초번호부번
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7585693
Minimum0
Maximum54
Zeros3645
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:06.832835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7586614
Coefficient of variation (CV)4.9549347
Kurtosis48.640146
Mean0.7585693
Median Absolute Deviation (MAD)0
Skewness6.3432734
Sum3054
Variance14.127535
MonotonicityNot monotonic
2024-04-18T10:41:06.941697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 3645
90.5%
1 210
 
5.2%
18 21
 
0.5%
10 19
 
0.5%
20 18
 
0.4%
14 17
 
0.4%
12 16
 
0.4%
16 12
 
0.3%
24 11
 
0.3%
22 10
 
0.2%
Other values (21) 47
 
1.2%
ValueCountFrequency (%)
0 3645
90.5%
1 210
 
5.2%
2 10
 
0.2%
5 1
 
< 0.1%
6 2
 
< 0.1%
8 7
 
0.2%
9 2
 
< 0.1%
10 19
 
0.5%
11 1
 
< 0.1%
12 16
 
0.4%
ValueCountFrequency (%)
54 1
 
< 0.1%
53 1
 
< 0.1%
44 1
 
< 0.1%
38 1
 
< 0.1%
34 1
 
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%
30 4
0.1%
28 2
< 0.1%
27 1
 
< 0.1%

앞면종료기초번호본번
Real number (ℝ)

Distinct502
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.9307
Minimum1
Maximum1774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:07.076531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q119
median56
Q3145
95-th percentile450.75
Maximum1774
Range1773
Interquartile range (IQR)126

Descriptive statistics

Standard deviation203.93126
Coefficient of variation (CV)1.6725178
Kurtosis29.420281
Mean121.9307
Median Absolute Deviation (MAD)48
Skewness4.6420957
Sum490893
Variance41587.961
MonotonicityNot monotonic
2024-04-18T10:41:07.204890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 374
 
9.3%
2 231
 
5.7%
24 48
 
1.2%
21 44
 
1.1%
14 39
 
1.0%
13 39
 
1.0%
22 38
 
0.9%
27 38
 
0.9%
58 36
 
0.9%
33 36
 
0.9%
Other values (492) 3103
77.1%
ValueCountFrequency (%)
1 374
9.3%
2 231
5.7%
3 5
 
0.1%
4 4
 
0.1%
5 6
 
0.1%
6 8
 
0.2%
7 32
 
0.8%
8 23
 
0.6%
9 22
 
0.5%
10 23
 
0.6%
ValueCountFrequency (%)
1774 12
0.3%
1773 8
0.2%
1644 4
 
0.1%
1643 3
 
0.1%
1444 6
0.1%
1443 1
 
< 0.1%
988 6
0.1%
987 1
 
< 0.1%
955 1
 
< 0.1%
896 2
 
< 0.1%

앞면종료기초번호부번
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.96174863
Minimum0
Maximum90
Zeros3645
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:07.323412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4824602
Coefficient of variation (CV)4.6607399
Kurtosis73.191369
Mean0.96174863
Median Absolute Deviation (MAD)0
Skewness6.9897251
Sum3872
Variance20.09245
MonotonicityNot monotonic
2024-04-18T10:41:07.445006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 3645
90.5%
1 154
 
3.8%
12 26
 
0.6%
10 25
 
0.6%
20 19
 
0.5%
18 18
 
0.4%
14 18
 
0.4%
8 17
 
0.4%
6 16
 
0.4%
16 14
 
0.3%
Other values (27) 74
 
1.8%
ValueCountFrequency (%)
0 3645
90.5%
1 154
 
3.8%
2 7
 
0.2%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 16
 
0.4%
8 17
 
0.4%
9 2
 
< 0.1%
10 25
 
0.6%
11 2
 
< 0.1%
ValueCountFrequency (%)
90 1
 
< 0.1%
64 1
 
< 0.1%
50 1
 
< 0.1%
46 1
 
< 0.1%
44 1
 
< 0.1%
38 3
0.1%
35 1
 
< 0.1%
34 2
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%

뒷면한글도로명
Categorical

IMBALANCE 

Distinct30
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
<NA>
3913 
비류대로
 
19
아암대로
 
10
앵고개로
 
8
경원대로
 
8
Other values (25)
 
68

Length

Max length11
Median length4
Mean length4.023845
Min length3

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3913
97.2%
비류대로 19
 
0.5%
아암대로 10
 
0.2%
앵고개로 8
 
0.2%
경원대로 8
 
0.2%
아카데미로 8
 
0.2%
랜드마크로 6
 
0.1%
미추홀대로 6
 
0.1%
능허대로 5
 
0.1%
해돋이로 4
 
0.1%
Other values (20) 39
 
1.0%

Length

2024-04-18T10:41:07.562731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3913
97.2%
비류대로 19
 
0.5%
아암대로 10
 
0.2%
앵고개로 8
 
0.2%
경원대로 8
 
0.2%
아카데미로 8
 
0.2%
랜드마크로 6
 
0.1%
미추홀대로 6
 
0.1%
능허대로 5
 
0.1%
청능대로 4
 
0.1%
Other values (20) 39
 
1.0%

뒷면로마자도로명
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
<NA>
3913 
Biryu-daero
 
19
Aam-daero
 
10
Gyeongwon-daero
 
8
Aenggogae-ro
 
8
Other values (28)
 
68

Length

Max length28
Median length4
Mean length4.2620467
Min length4

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3913
97.2%
Biryu-daero 19
 
0.5%
Aam-daero 10
 
0.2%
Gyeongwon-daero 8
 
0.2%
Aenggogae-ro 8
 
0.2%
Michuhol-daero 7
 
0.2%
Landmark-ro 6
 
0.1%
Neungheo-daero 5
 
0.1%
Academy-ro 5
 
0.1%
Cheongneung-daero 4
 
0.1%
Other values (23) 41
 
1.0%

Length

2024-04-18T10:41:07.665621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3913
97.0%
biryu-daero 19
 
0.5%
aam-daero 10
 
0.2%
keonbensia-daero 9
 
0.2%
gyeongwon-daero 8
 
0.2%
aenggogae-ro 8
 
0.2%
michuhol-daero 7
 
0.2%
landmark-ro 6
 
0.1%
neungheo-daero 5
 
0.1%
academy-ro 5
 
0.1%
Other values (23) 45
 
1.1%

뒷면시작기초번호본번
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.269001
Minimum0
Maximum1774
Zeros3913
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:07.767954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1774
Range1774
Interquartile range (IQR)0

Descriptive statistics

Standard deviation112.11191
Coefficient of variation (CV)9.1378183
Kurtosis179.70791
Mean12.269001
Median Absolute Deviation (MAD)0
Skewness12.64168
Sum49395
Variance12569.08
MonotonicityNot monotonic
2024-04-18T10:41:07.882008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3913
97.2%
1774 6
 
0.1%
1773 5
 
0.1%
26 4
 
0.1%
1 3
 
0.1%
621 3
 
0.1%
184 3
 
0.1%
183 3
 
0.1%
67 2
 
< 0.1%
28 2
 
< 0.1%
Other values (75) 82
 
2.0%
ValueCountFrequency (%)
0 3913
97.2%
1 3
 
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
14 1
 
< 0.1%
16 2
 
< 0.1%
18 1
 
< 0.1%
20 1
 
< 0.1%
26 4
 
0.1%
28 2
 
< 0.1%
ValueCountFrequency (%)
1774 6
0.1%
1773 5
0.1%
1444 1
 
< 0.1%
988 1
 
< 0.1%
861 1
 
< 0.1%
832 1
 
< 0.1%
797 1
 
< 0.1%
794 1
 
< 0.1%
780 1
 
< 0.1%
746 1
 
< 0.1%

뒷면시작기초번호부번
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
0
4026 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 4026
100.0%

Length

2024-04-18T10:41:07.997954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:08.074663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4026
100.0%

뒷면종료기초번호본번
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6738698
Minimum0
Maximum1643
Zeros3913
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2024-04-18T10:41:08.166507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1643
Range1643
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76.726966
Coefficient of variation (CV)11.496623
Kurtosis278.12571
Mean6.6738698
Median Absolute Deviation (MAD)0
Skewness15.603735
Sum26869
Variance5887.0273
MonotonicityNot monotonic
2024-04-18T10:41:08.282472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 3913
97.2%
2 42
 
1.0%
1 18
 
0.4%
1443 3
 
0.1%
377 3
 
0.1%
378 3
 
0.1%
1643 3
 
0.1%
805 3
 
0.1%
253 2
 
< 0.1%
806 2
 
< 0.1%
Other values (34) 34
 
0.8%
ValueCountFrequency (%)
0 3913
97.2%
1 18
 
0.4%
2 42
 
1.0%
38 1
 
< 0.1%
58 1
 
< 0.1%
68 1
 
< 0.1%
80 1
 
< 0.1%
91 1
 
< 0.1%
92 1
 
< 0.1%
109 1
 
< 0.1%
ValueCountFrequency (%)
1643 3
0.1%
1443 3
0.1%
988 1
 
< 0.1%
987 1
 
< 0.1%
806 2
< 0.1%
805 3
0.1%
745 1
 
< 0.1%
741 1
 
< 0.1%
523 1
 
< 0.1%
483 1
 
< 0.1%

뒷면종료기초번호부번
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
0
4026 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 4026
100.0%

Length

2024-04-18T10:41:08.390531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:08.466151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4026
100.0%

등록일자
Date

Distinct99
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
Minimum2011-08-30 00:00:00
Maximum2022-07-25 00:00:00
2024-04-18T10:41:08.569772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:41:08.712334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설치일자
Date

Distinct116
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
Minimum1999-12-30 00:00:00
Maximum2022-06-30 00:00:00
2024-04-18T10:41:08.819829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:41:08.937279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설치상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
정상
3778 
망실
 
140
비정상
 
108

Length

Max length3
Median length2
Mean length2.0268256
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 3778
93.8%
망실 140
 
3.5%
비정상 108
 
2.7%

Length

2024-04-18T10:41:09.037439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:09.114288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 3778
93.8%
망실 140
 
3.5%
비정상 108
 
2.7%

도로시설물
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
교통신호등
1764 
가로등
1238 
벽면부착
488 
한전주
338 
전용지주
 
62
Other values (4)
 
136

Length

Max length8
Median length5
Mean length4.0494287
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교통신호등
2nd row가로등
3rd row전용지주
4th row전용지주
5th row가로등

Common Values

ValueCountFrequency (%)
교통신호등 1764
43.8%
가로등 1238
30.8%
벽면부착 488
 
12.1%
한전주 338
 
8.4%
전용지주 62
 
1.5%
통신전주 53
 
1.3%
도로표지판 39
 
1.0%
기타 34
 
0.8%
CCTV등 지주 10
 
0.2%

Length

2024-04-18T10:41:09.202028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:09.306450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통신호등 1764
43.7%
가로등 1238
30.7%
벽면부착 488
 
12.1%
한전주 338
 
8.4%
전용지주 62
 
1.5%
통신전주 53
 
1.3%
도로표지판 39
 
1.0%
기타 34
 
0.8%
cctv등 10
 
0.2%
지주 10
 
0.2%

형식
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
표준형
4026 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
표준형 4026
100.0%

Length

2024-04-18T10:41:09.410514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:09.483718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표준형 4026
100.0%

방향
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
양 방향용
2312 
한 방향용
1601 
앞쪽 방향용
 
113

Length

Max length6
Median length5
Mean length5.0280676
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양 방향용 2312
57.4%
한 방향용 1601
39.8%
앞쪽 방향용 113
 
2.8%

Length

2024-04-18T10:41:09.564711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:09.644617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방향용 4026
50.0%
양 2312
28.7%
한 1601
 
19.9%
앞쪽 113
 
1.4%

사용대상
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
보행자용
3167 
차량용
859 

Length

Max length4
Median length4
Mean length3.7866369
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보행자용 3167
78.7%
차량용 859
 
21.3%

Length

2024-04-18T10:41:09.740963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:09.840230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보행자용 3167
78.7%
차량용 859
 
21.3%

규격
Categorical

Distinct29
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
950*260
897 
1050*260
491 
1300*260
447 
1150*260
415 
420*120
365 
Other values (24)
1411 

Length

Max length8
Median length8
Mean length7.5481868
Min length7

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row700*260
2nd row1700*450
3rd row950*260
4th row950*260
5th row1700*450

Common Values

ValueCountFrequency (%)
950*260 897
22.3%
1050*260 491
12.2%
1300*260 447
11.1%
1150*260 415
10.3%
420*120 365
9.1%
900*260 351
 
8.7%
1700*450 226
 
5.6%
2100*450 134
 
3.3%
1450*350 111
 
2.8%
1800*350 99
 
2.5%
Other values (19) 490
12.2%

Length

2024-04-18T10:41:09.925814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
950*260 897
22.3%
1050*260 491
12.2%
1300*260 447
11.1%
1150*260 415
10.3%
420*120 365
9.1%
900*260 351
 
8.7%
1700*450 226
 
5.6%
2100*450 134
 
3.3%
1450*350 111
 
2.8%
1800*350 99
 
2.5%
Other values (19) 490
12.2%

제2외국어
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
미표기
4026 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미표기 4026
100.0%

Length

2024-04-18T10:41:10.015198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:10.088620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미표기 4026
100.0%

도로폭(위계)
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
길
1944 
로
1537 
대로
545 

Length

Max length2
Median length1
Mean length1.1353701
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
길 1944
48.3%
로 1537
38.2%
대로 545
 
13.5%

Length

2024-04-18T10:41:10.169894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:10.257255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
길 1944
48.3%
로 1537
38.2%
대로 545
 
13.5%

광역도로구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
시군구도로
3417 
광역도로
501 
행안부도로
 
108

Length

Max length5
Median length5
Mean length4.8755589
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시군구도로 3417
84.9%
광역도로 501
 
12.4%
행안부도로 108
 
2.7%

Length

2024-04-18T10:41:10.357697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:10.453522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시군구도로 3417
84.9%
광역도로 501
 
12.4%
행안부도로 108
 
2.7%

조명여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
기본형
3998 
조명형(전기)
 
18
조명형(태양열)
 
10

Length

Max length8
Median length3
Mean length3.030303
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본형 3998
99.3%
조명형(전기) 18
 
0.4%
조명형(태양열) 10
 
0.2%

Length

2024-04-18T10:41:10.541861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:10.631042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본형 3998
99.3%
조명형(전기 18
 
0.4%
조명형(태양열 10
 
0.2%

설치유형
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
현수식
3412 
벽부착식
488 
전용지주식
 
123
기타
 
3

Length

Max length5
Median length3
Mean length3.1815698
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현수식 3412
84.7%
벽부착식 488
 
12.1%
전용지주식 123
 
3.1%
기타 3
 
0.1%

Length

2024-04-18T10:41:10.730142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:41:10.826431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현수식 3412
84.7%
벽부착식 488
 
12.1%
전용지주식 123
 
3.1%
기타 3
 
0.1%

교차로유형
Categorical

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
사거리(로급)
842 
<NA>
706 
ㅏ 또는 T자(로급)
591 
사거리(대로급)
551 
ㅏ 또는 T자(길급)
484 
Other values (14)
852 

Length

Max length12
Median length11
Mean length8.0784898
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowㅏ 또는 T자(로급)
2nd rowㅏ 또는 T자(로급)
3rd rowㅏ 또는 T자(로급)
4th rowㅏ 또는 T자(로급)
5th row<NA>

Common Values

ValueCountFrequency (%)
사거리(로급) 842
20.9%
<NA> 706
17.5%
ㅏ 또는 T자(로급) 591
14.7%
사거리(대로급) 551
13.7%
ㅏ 또는 T자(길급) 484
12.0%
ㅏ 또는 T자(대로급) 321
 
8.0%
사거리(길급) 245
 
6.1%
다방향(대로급) 72
 
1.8%
다방향(로급) 61
 
1.5%
Y자(길급) 52
 
1.3%
Other values (9) 101
 
2.5%

Length

2024-04-18T10:41:10.928601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ㅏ 1396
20.5%
또는 1396
20.5%
사거리(로급 842
12.3%
na 706
10.4%
t자(로급 591
8.7%
사거리(대로급 551
 
8.1%
t자(길급 484
 
7.1%
t자(대로급 321
 
4.7%
사거리(길급 245
 
3.6%
다방향(대로급 72
 
1.1%
Other values (11) 214
 
3.1%

Sample

연번시군구명시설일련번호시설구분설치위치앞면한글도로명앞면로마자도로명앞면시작기초번호본번앞면시작기초번호부번앞면종료기초번호본번앞면종료기초번호부번뒷면한글도로명뒷면로마자도로명뒷면시작기초번호본번뒷면시작기초번호부번뒷면종료기초번호본번뒷면종료기초번호부번등록일자설치일자설치상태도로시설물형식방향사용대상규격제2외국어도로폭(위계)광역도로구분조명여부설치유형교차로유형
01연수구311도로명판갯벌로 1갯벌로Gaetbeol-ro101780<NA><NA>00002012-11-122009-07-18정상교통신호등표준형한 방향용보행자용700*260미표기로시군구도로기본형현수식ㅏ 또는 T자(로급)
12연수구97도로명판갯벌로 65갯벌로Gaetbeol-ro630670<NA><NA>00002012-11-122009-07-16정상가로등표준형양 방향용차량용1700*450미표기로시군구도로기본형현수식ㅏ 또는 T자(로급)
23연수구96도로명판갯벌로 66갯벌로Gaetbeol-ro640680<NA><NA>00002012-11-122009-07-15망실전용지주표준형양 방향용보행자용950*260미표기로시군구도로기본형전용지주식ㅏ 또는 T자(로급)
34연수구830도로명판갯벌로 67갯벌로Gaetbeol-ro650690<NA><NA>00002012-11-122009-07-16정상전용지주표준형양 방향용보행자용950*260미표기로시군구도로기본형전용지주식ㅏ 또는 T자(로급)
45연수구530도로명판갯벌로 105갯벌로Gaetbeol-ro10301070<NA><NA>00002012-11-122009-07-17정상가로등표준형양 방향용차량용1700*450미표기로시군구도로기본형현수식<NA>
56연수구767도로명판갯벌로 127갯벌로Gaetbeol-ro12501290<NA><NA>00002012-11-122009-07-17정상가로등표준형양 방향용차량용1700*450미표기로시군구도로기본형현수식<NA>
67연수구310도로명판갯벌로 147갯벌로145번길Gaetbeol-ro 145beon-gil20240<NA><NA>00002012-11-122009-07-17정상가로등표준형한 방향용차량용1450*350미표기로시군구도로기본형현수식ㅏ 또는 T자(로급)
78연수구755도로명판갯벌로145번길 24갯벌로145번길Gaetbeol-ro 145beon-gil24020<NA><NA>00002012-11-122009-07-16정상가로등표준형한 방향용차량용1450*350미표기길시군구도로기본형현수식ㅏ 또는 T자(로급)
89연수구41도로명판경원대로 2경원대로Gyeongwon-daero2014440<NA><NA>00002012-12-052009-12-30비정상기타표준형한 방향용보행자용900*260미표기대로광역도로기본형현수식Y자(대로급)
910연수구2418도로명판경원대로 2경원대로Gyeongwon-daero2014440<NA><NA>00002014-12-222014-11-03정상교통신호등표준형한 방향용차량용1650*450미표기대로광역도로기본형현수식Y자(대로급)
연번시군구명시설일련번호시설구분설치위치앞면한글도로명앞면로마자도로명앞면시작기초번호본번앞면시작기초번호부번앞면종료기초번호본번앞면종료기초번호부번뒷면한글도로명뒷면로마자도로명뒷면시작기초번호본번뒷면시작기초번호부번뒷면종료기초번호본번뒷면종료기초번호부번등록일자설치일자설치상태도로시설물형식방향사용대상규격제2외국어도로폭(위계)광역도로구분조명여부설치유형교차로유형
40164017연수구1408도로명판해송로 1해송로Haesong-ro101550<NA><NA>00002012-12-132012-12-13정상교통신호등표준형한 방향용보행자용700*260미표기로시군구도로기본형현수식사거리(로급)
40174018연수구4479도로명판해송로 1해송로Haesong-ro101550<NA><NA>00002018-12-272018-12-20정상가로등표준형한 방향용차량용1250*450미표기로시군구도로기본형현수식사거리(로급)
40184019연수구1173도로명판해송로 2해송로Haesong-ro201560<NA><NA>00002012-12-062012-12-06정상가로등표준형한 방향용차량용1250*450미표기로시군구도로기본형현수식사거리(로급)
40194020연수구505도로명판해송로 28해송로Haesong-ro280320<NA><NA>00002012-12-062009-07-20정상교통신호등표준형양 방향용보행자용950*260미표기로시군구도로기본형현수식ㅏ 또는 T자(로급)
40204021연수구101도로명판해송로 47해송로Haesong-ro470510<NA><NA>00002012-12-062009-07-20정상가로등표준형양 방향용차량용1700*450미표기로시군구도로기본형현수식ㅏ 또는 T자(로급)
40214022연수구727도로명판해송로 50해송로Haesong-ro500540<NA><NA>00002012-12-062009-07-20정상교통신호등표준형양 방향용보행자용950*260미표기로시군구도로기본형현수식ㅏ 또는 T자(로급)
40224023연수구33도로명판해송로 156해송로Haesong-ro156020<NA><NA>00002012-12-062009-07-20정상교통신호등표준형한 방향용보행자용700*260미표기로시군구도로기본형현수식사거리(로급)
40234024연수구546도로명판해송로30번길 1해송로30번길Haesong-ro 30beon-gil10420<NA><NA>00002012-12-062009-07-20비정상가로등표준형한 방향용차량용1450*350미표기길시군구도로기본형현수식ㅏ 또는 T자(로급)
40244025연수구805도로명판해송로30번길 2해송로30번길Haesong-ro 30beon-gil20420<NA><NA>00002012-12-062009-07-20정상교통신호등표준형한 방향용보행자용1050*260미표기길시군구도로기본형현수식ㅏ 또는 T자(로급)
40254026연수구787도로명판해송로30번길 42해송로30번길Haesong-ro 30beon-gil42020<NA><NA>00002012-12-062009-07-20정상교통신호등표준형한 방향용보행자용1050*260미표기길시군구도로기본형현수식사거리(로급)