Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells40097
Missing cells (%)18.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory192.0 B

Variable types

Text7
Categorical5
Numeric6
Unsupported1
Boolean1
DateTime2

Dataset

Description도로 안전표지 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=N10MO7W6P6NQKJO4D6UQ26886637&infSeq=1

Alerts

제2외국어표기여부 is highly imbalanced (57.1%)Imbalance
안전표지일련번호 has 2218 (22.2%) missing valuesMissing
도로노선번호 has 5266 (52.7%) missing valuesMissing
도로형태 has 2292 (22.9%) missing valuesMissing
차로수 has 2438 (24.4%) missing valuesMissing
도로폭 has 4742 (47.4%) missing valuesMissing
소재지도로명주소 has 8370 (83.7%) missing valuesMissing
주행제한속도 has 7702 (77.0%) missing valuesMissing
제2외국어표기여부 has 2327 (23.3%) missing valuesMissing
설치일자 has 4742 (47.4%) missing valuesMissing
도로형태 is highly skewed (γ1 = 65.65410422)Skewed
안전표지구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 21:34:35.377551
Analysis finished2024-05-10 21:34:37.474162
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안전표지일련번호
Text

MISSING 

Distinct7711
Distinct (%)99.1%
Missing2218
Missing (%)22.2%
Memory size156.2 KiB
2024-05-10T21:34:37.790175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length11.482781
Min length1

Characters and Unicode

Total characters89359
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7647 ?
Unique (%)98.3%

Sample

1st row4202-SS-01
2nd row4809
3rd row3230
4th row0297-SS-01
5th row31260-SS-03742-01
ValueCountFrequency (%)
465 6
 
0.1%
403 3
 
< 0.1%
96 3
 
< 0.1%
224 3
 
< 0.1%
324 2
 
< 0.1%
364 2
 
< 0.1%
24 2
 
< 0.1%
79 2
 
< 0.1%
281 2
 
< 0.1%
283 2
 
< 0.1%
Other values (7701) 7755
99.7%
2024-05-10T21:34:38.789761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17336
19.4%
- 14400
16.1%
1 13716
15.3%
S 10516
11.8%
2 7658
8.6%
3 7436
8.3%
6 3732
 
4.2%
8 3532
 
4.0%
7 3299
 
3.7%
4 2817
 
3.2%
Other values (2) 4917
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64443
72.1%
Dash Punctuation 14400
 
16.1%
Uppercase Letter 10516
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17336
26.9%
1 13716
21.3%
2 7658
11.9%
3 7436
11.5%
6 3732
 
5.8%
8 3532
 
5.5%
7 3299
 
5.1%
4 2817
 
4.4%
5 2515
 
3.9%
9 2402
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 14400
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 10516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78843
88.2%
Latin 10516
 
11.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17336
22.0%
- 14400
18.3%
1 13716
17.4%
2 7658
9.7%
3 7436
9.4%
6 3732
 
4.7%
8 3532
 
4.5%
7 3299
 
4.2%
4 2817
 
3.6%
5 2515
 
3.2%
Latin
ValueCountFrequency (%)
S 10516
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17336
19.4%
- 14400
16.1%
1 13716
15.3%
S 10516
11.8%
2 7658
8.6%
3 7436
8.3%
6 3732
 
4.2%
8 3532
 
4.0%
7 3299
 
3.7%
4 2817
 
3.2%
Other values (2) 4917
 
5.5%

도로종류
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시도
5339 
일반국도
1419 
국가지원지방도
1252 
기타
991 
지방도
925 

Length

Max length7
Median length2
Mean length3.0171
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시도
2nd row시도
3rd row국가지원지방도
4th row국가지원지방도
5th row시도

Common Values

ValueCountFrequency (%)
시도 5339
53.4%
일반국도 1419
 
14.2%
국가지원지방도 1252
 
12.5%
기타 991
 
9.9%
지방도 925
 
9.2%
고속국도 74
 
0.7%

Length

2024-05-10T21:34:39.229332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:34:39.563190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 5339
53.4%
일반국도 1419
 
14.2%
국가지원지방도 1252
 
12.5%
기타 991
 
9.9%
지방도 925
 
9.2%
고속국도 74
 
0.7%

도로노선번호
Text

MISSING 

Distinct113
Distinct (%)2.4%
Missing5266
Missing (%)52.7%
Memory size156.2 KiB
2024-05-10T21:34:40.109500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.0295733
Min length1

Characters and Unicode

Total characters14342
Distinct characters31
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

Unique13 ?
Unique (%)0.3%

Sample

1st row345호
2nd row333호
3rd row333호
4th row383
5th row333호
ValueCountFrequency (%)
43 374
 
7.9%
70번 344
 
7.3%
333호 314
 
6.6%
3번 256
 
5.4%
371 149
 
3.1%
37호 145
 
3.1%
39 139
 
2.9%
337번 136
 
2.9%
345호 135
 
2.9%
42호 133
 
2.8%
Other values (104) 2610
55.1%
2024-05-10T21:34:41.135357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3457
24.1%
호 1828
12.7%
7 1184
 
8.3%
4 1165
 
8.1%
번 1123
 
7.8%
0 998
 
7.0%
1 962
 
6.7%
2 785
 
5.5%
8 621
 
4.3%
5 464
 
3.2%
Other values (21) 1755
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10435
72.8%
Other Letter 3905
 
27.2%
Space Separator 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 1828
46.8%
번 1123
28.8%
천 175
 
4.5%
흥 112
 
2.9%
서 89
 
2.3%
능 89
 
2.3%
대 64
 
1.6%
신 63
 
1.6%
강 63
 
1.6%
점 47
 
1.2%
Other values (9) 252
 
6.5%
Decimal Number
ValueCountFrequency (%)
3 3457
33.1%
7 1184
 
11.3%
4 1165
 
11.2%
0 998
 
9.6%
1 962
 
9.2%
2 785
 
7.5%
8 621
 
6.0%
5 464
 
4.4%
6 437
 
4.2%
9 362
 
3.5%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10437
72.8%
Hangul 3905
 
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 1828
46.8%
번 1123
28.8%
천 175
 
4.5%
흥 112
 
2.9%
서 89
 
2.3%
능 89
 
2.3%
대 64
 
1.6%
신 63
 
1.6%
강 63
 
1.6%
점 47
 
1.2%
Other values (9) 252
 
6.5%
Common
ValueCountFrequency (%)
3 3457
33.1%
7 1184
 
11.3%
4 1165
 
11.2%
0 998
 
9.6%
1 962
 
9.2%
2 785
 
7.5%
8 621
 
5.9%
5 464
 
4.4%
6 437
 
4.2%
9 362
 
3.5%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10437
72.8%
Hangul 3905
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3457
33.1%
7 1184
 
11.3%
4 1165
 
11.2%
0 998
 
9.6%
1 962
 
9.2%
2 785
 
7.5%
8 621
 
5.9%
5 464
 
4.4%
6 437
 
4.2%
9 362
 
3.5%
Other values (2) 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
호 1828
46.8%
번 1123
28.8%
천 175
 
4.5%
흥 112
 
2.9%
서 89
 
2.3%
능 89
 
2.3%
대 64
 
1.6%
신 63
 
1.6%
강 63
 
1.6%
점 47
 
1.2%
Other values (9) 252
 
6.5%

도로노선명
Text

Distinct1006
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T21:34:41.707114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length4.2075
Min length2

Characters and Unicode

Total characters42075
Distinct characters291
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

Unique324 ?
Unique (%)3.2%

Sample

1st row장미로
2nd row송현로82번길
3rd row주내로
4th row여주남로
5th row사동로
ValueCountFrequency (%)
경충대로 228
 
2.3%
호국로 223
 
2.2%
중부대로 163
 
1.6%
이섭대천로 155
 
1.5%
여주남로 127
 
1.3%
하남대로 114
 
1.1%
여양로 108
 
1.1%
부흥로 103
 
1.0%
진상미로 96
 
0.9%
청신로 90
 
0.9%
Other values (996) 8709
86.1%
2024-05-10T21:34:42.728708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9546
22.7%
길 1933
 
4.6%
대 1536
 
3.7%
번 1515
 
3.6%
1 1003
 
2.4%
2 770
 
1.8%
동 665
 
1.6%
여 650
 
1.5%
천 641
 
1.5%
신 625
 
1.5%
Other values (281) 23191
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37359
88.8%
Decimal Number 4598
 
10.9%
Space Separator 116
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9546
25.6%
길 1933
 
5.2%
대 1536
 
4.1%
번 1515
 
4.1%
동 665
 
1.8%
여 650
 
1.7%
천 641
 
1.7%
신 625
 
1.7%
산 535
 
1.4%
장 534
 
1.4%
Other values (269) 19179
51.3%
Decimal Number
ValueCountFrequency (%)
1 1003
21.8%
2 770
16.7%
3 465
10.1%
0 401
 
8.7%
6 360
 
7.8%
5 351
 
7.6%
4 334
 
7.3%
7 316
 
6.9%
8 299
 
6.5%
9 299
 
6.5%
Space Separator
ValueCountFrequency (%)
116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37359
88.8%
Common 4716
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9546
25.6%
길 1933
 
5.2%
대 1536
 
4.1%
번 1515
 
4.1%
동 665
 
1.8%
여 650
 
1.7%
천 641
 
1.7%
신 625
 
1.7%
산 535
 
1.4%
장 534
 
1.4%
Other values (269) 19179
51.3%
Common
ValueCountFrequency (%)
1 1003
21.3%
2 770
16.3%
3 465
9.9%
0 401
 
8.5%
6 360
 
7.6%
5 351
 
7.4%
4 334
 
7.1%
7 316
 
6.7%
8 299
 
6.3%
9 299
 
6.3%
Other values (2) 118
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37359
88.8%
ASCII 4716
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9546
25.6%
길 1933
 
5.2%
대 1536
 
4.1%
번 1515
 
4.1%
동 665
 
1.8%
여 650
 
1.7%
천 641
 
1.7%
신 625
 
1.7%
산 535
 
1.4%
장 534
 
1.4%
Other values (269) 19179
51.3%
ASCII
ValueCountFrequency (%)
1 1003
21.3%
2 770
16.3%
3 465
9.9%
0 401
 
8.5%
6 360
 
7.6%
5 351
 
7.4%
4 334
 
7.1%
7 316
 
6.7%
8 299
 
6.3%
9 299
 
6.3%
Other values (2) 118
 
2.5%

도로노선방향
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
5750 
1
2205 
2
2045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 5750
57.5%
1 2205
 
22.1%
2 2045
 
20.4%

Length

2024-05-10T21:34:43.177330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:34:43.492523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5750
57.5%
1 2205
 
22.1%
2 2045
 
20.4%

도로형태
Real number (ℝ)

MISSING  SKEWED 

Distinct6
Distinct (%)0.1%
Missing2292
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean1.3918007
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:34:43.761577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2255001
Coefficient of variation (CV)0.88051406
Kurtosis5222.8683
Mean1.3918007
Median Absolute Deviation (MAD)0
Skewness65.654104
Sum10728
Variance1.5018505
MonotonicityNot monotonic
2024-05-10T21:34:44.198719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 4861
48.6%
2 2798
28.0%
3 32
 
0.3%
5 12
 
0.1%
4 4
 
< 0.1%
99 1
 
< 0.1%
(Missing) 2292
22.9%
ValueCountFrequency (%)
1 4861
48.6%
2 2798
28.0%
3 32
 
0.3%
4 4
 
< 0.1%
5 12
 
0.1%
99 1
 
< 0.1%
ValueCountFrequency (%)
99 1
 
< 0.1%
5 12
 
0.1%
4 4
 
< 0.1%
3 32
 
0.3%
2 2798
28.0%
1 4861
48.6%

차로수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.1%
Missing2438
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean3.3820418
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:34:44.462868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile7
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9660281
Coefficient of variation (CV)0.58131397
Kurtosis0.14140741
Mean3.3820418
Median Absolute Deviation (MAD)1
Skewness0.98253851
Sum25575
Variance3.8652667
MonotonicityNot monotonic
2024-05-10T21:34:44.692325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 3249
32.5%
4 1280
 
12.8%
1 660
 
6.6%
5 654
 
6.5%
6 519
 
5.2%
3 489
 
4.9%
7 362
 
3.6%
8 247
 
2.5%
9 84
 
0.8%
10 18
 
0.2%
(Missing) 2438
24.4%
ValueCountFrequency (%)
1 660
 
6.6%
2 3249
32.5%
3 489
 
4.9%
4 1280
 
12.8%
5 654
 
6.5%
6 519
 
5.2%
7 362
 
3.6%
8 247
 
2.5%
9 84
 
0.8%
10 18
 
0.2%
ValueCountFrequency (%)
10 18
 
0.2%
9 84
 
0.8%
8 247
 
2.5%
7 362
 
3.6%
6 519
 
5.2%
5 654
 
6.5%
4 1280
 
12.8%
3 489
 
4.9%
2 3249
32.5%
1 660
 
6.6%

도로폭
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)7.3%
Missing4742
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean19.116394
Minimum2.5
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:34:45.040392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile6.785
Q111.5
median17.9
Q325
95-th percentile37.415
Maximum60
Range57.5
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation9.582639
Coefficient of variation (CV)0.50127859
Kurtosis-0.11523604
Mean19.116394
Median Absolute Deviation (MAD)6.5
Skewness0.71839409
Sum100514
Variance91.826971
MonotonicityNot monotonic
2024-05-10T21:34:45.521051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 166
 
1.7%
15.0 142
 
1.4%
12.0 137
 
1.4%
11.0 117
 
1.2%
10.0 108
 
1.1%
14.5 97
 
1.0%
19.5 91
 
0.9%
11.5 81
 
0.8%
19.0 77
 
0.8%
22.0 76
 
0.8%
Other values (373) 4166
41.7%
(Missing) 4742
47.4%
ValueCountFrequency (%)
2.5 2
 
< 0.1%
2.6 1
 
< 0.1%
3.0 2
 
< 0.1%
3.2 3
 
< 0.1%
3.4 2
 
< 0.1%
3.5 12
0.1%
3.6 3
 
< 0.1%
3.7 1
 
< 0.1%
3.8 1
 
< 0.1%
3.9 2
 
< 0.1%
ValueCountFrequency (%)
60.0 1
 
< 0.1%
54.0 3
< 0.1%
53.0 1
 
< 0.1%
52.5 1
 
< 0.1%
51.0 1
 
< 0.1%
50.4 1
 
< 0.1%
50.0 1
 
< 0.1%
49.7 2
< 0.1%
49.0 3
< 0.1%
48.3 1
 
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct1130
Distinct (%)69.3%
Missing8370
Missing (%)83.7%
Memory size156.2 KiB
2024-05-10T21:34:46.127548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.36319
Min length13

Characters and Unicode

Total characters29932
Distinct characters233
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

Unique875 ?
Unique (%)53.7%

Sample

1st row경기도 성남시 분당구 장미로 101
2nd row경기도 의정부시 평화로 375
3rd row경기도 여주시 흥천면 금대울로 254
4th row경기도 구리시 검배로 142
5th row경기도 포천시 왕방로 170
ValueCountFrequency (%)
경기도 1630
22.8%
의정부시 314
 
4.4%
하남시 283
 
4.0%
구리시 277
 
3.9%
포천시 166
 
2.3%
여주시 165
 
2.3%
양주시 153
 
2.1%
이천시 123
 
1.7%
성남시 109
 
1.5%
분당구 70
 
1.0%
Other values (1107) 3847
53.9%
2024-05-10T21:34:47.174448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5507
18.4%
경 1673
 
5.6%
시 1659
 
5.5%
도 1654
 
5.5%
기 1632
 
5.5%
로 1554
 
5.2%
1 1175
 
3.9%
2 757
 
2.5%
길 590
 
2.0%
3 546
 
1.8%
Other values (223) 13185
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18571
62.0%
Decimal Number 5645
 
18.9%
Space Separator 5507
 
18.4%
Dash Punctuation 209
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1673
 
9.0%
시 1659
 
8.9%
도 1654
 
8.9%
기 1632
 
8.8%
로 1554
 
8.4%
길 590
 
3.2%
구 524
 
2.8%
남 516
 
2.8%
번 506
 
2.7%
천 393
 
2.1%
Other values (211) 7870
42.4%
Decimal Number
ValueCountFrequency (%)
1 1175
20.8%
2 757
13.4%
3 546
9.7%
5 529
9.4%
4 515
9.1%
7 476
8.4%
0 476
8.4%
6 462
 
8.2%
8 388
 
6.9%
9 321
 
5.7%
Space Separator
ValueCountFrequency (%)
5507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18571
62.0%
Common 11361
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1673
 
9.0%
시 1659
 
8.9%
도 1654
 
8.9%
기 1632
 
8.8%
로 1554
 
8.4%
길 590
 
3.2%
구 524
 
2.8%
남 516
 
2.8%
번 506
 
2.7%
천 393
 
2.1%
Other values (211) 7870
42.4%
Common
ValueCountFrequency (%)
5507
48.5%
1 1175
 
10.3%
2 757
 
6.7%
3 546
 
4.8%
5 529
 
4.7%
4 515
 
4.5%
7 476
 
4.2%
0 476
 
4.2%
6 462
 
4.1%
8 388
 
3.4%
Other values (2) 530
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18571
62.0%
ASCII 11361
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5507
48.5%
1 1175
 
10.3%
2 757
 
6.7%
3 546
 
4.8%
5 529
 
4.7%
4 515
 
4.5%
7 476
 
4.2%
0 476
 
4.2%
6 462
 
4.1%
8 388
 
3.4%
Other values (2) 530
 
4.7%
Hangul
ValueCountFrequency (%)
경 1673
 
9.0%
시 1659
 
8.9%
도 1654
 
8.9%
기 1632
 
8.8%
로 1554
 
8.4%
길 590
 
3.2%
구 524
 
2.8%
남 516
 
2.8%
번 506
 
2.7%
천 393
 
2.1%
Other values (211) 7870
42.4%

소재지지번주소
Text

Distinct6805
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T21:34:47.845323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.0752
Min length13

Characters and Unicode

Total characters190752
Distinct characters218
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

Unique5129 ?
Unique (%)51.3%

Sample

1st row경기도 성남시 분당구 야탑동 334
2nd row경기도 의정부시 민락동 779-8
3rd row경기도 여주시 상동 38-2
4th row경기도 여주시 가남읍 심석리 358-7
5th row경기도 이천시 대월면 사동리 347-23
ValueCountFrequency (%)
경기도 10000
 
21.6%
여주시 2303
 
5.0%
이천시 2072
 
4.5%
의정부시 1374
 
3.0%
양주시 1196
 
2.6%
하남시 1049
 
2.3%
포천시 821
 
1.8%
구리시 818
 
1.8%
산 695
 
1.5%
덕풍동 465
 
1.0%
Other values (5476) 25435
55.0%
2024-05-10T21:34:49.059857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36523
19.1%
도 10203
 
5.3%
기 10055
 
5.3%
경 10024
 
5.3%
시 10004
 
5.2%
- 7599
 
4.0%
1 6360
 
3.3%
리 6216
 
3.3%
동 5035
 
2.6%
2 4981
 
2.6%
Other values (208) 83752
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108935
57.1%
Decimal Number 37695
 
19.8%
Space Separator 36523
 
19.1%
Dash Punctuation 7599
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10203
 
9.4%
기 10055
 
9.2%
경 10024
 
9.2%
시 10004
 
9.2%
리 6216
 
5.7%
동 5035
 
4.6%
면 3767
 
3.5%
천 3767
 
3.5%
주 3658
 
3.4%
여 2305
 
2.1%
Other values (196) 43901
40.3%
Decimal Number
ValueCountFrequency (%)
1 6360
16.9%
2 4981
13.2%
3 4367
11.6%
4 3948
10.5%
5 3747
9.9%
7 3509
9.3%
6 3412
9.1%
8 2628
7.0%
9 2469
 
6.5%
0 2274
 
6.0%
Space Separator
ValueCountFrequency (%)
36523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7599
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108935
57.1%
Common 81817
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10203
 
9.4%
기 10055
 
9.2%
경 10024
 
9.2%
시 10004
 
9.2%
리 6216
 
5.7%
동 5035
 
4.6%
면 3767
 
3.5%
천 3767
 
3.5%
주 3658
 
3.4%
여 2305
 
2.1%
Other values (196) 43901
40.3%
Common
ValueCountFrequency (%)
36523
44.6%
- 7599
 
9.3%
1 6360
 
7.8%
2 4981
 
6.1%
3 4367
 
5.3%
4 3948
 
4.8%
5 3747
 
4.6%
7 3509
 
4.3%
6 3412
 
4.2%
8 2628
 
3.2%
Other values (2) 4743
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108935
57.1%
ASCII 81817
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36523
44.6%
- 7599
 
9.3%
1 6360
 
7.8%
2 4981
 
6.1%
3 4367
 
5.3%
4 3948
 
4.8%
5 3747
 
4.6%
7 3509
 
4.3%
6 3412
 
4.2%
8 2628
 
3.2%
Other values (2) 4743
 
5.8%
Hangul
ValueCountFrequency (%)
도 10203
 
9.4%
기 10055
 
9.2%
경 10024
 
9.2%
시 10004
 
9.2%
리 6216
 
5.7%
동 5035
 
4.6%
면 3767
 
3.5%
천 3767
 
3.5%
주 3658
 
3.4%
여 2305
 
2.1%
Other values (196) 43901
40.3%

위도
Real number (ℝ)

Distinct8016
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.514061
Minimum37.097123
Maximum37.979042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:34:49.694850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.097123
5-th percentile37.184693
Q137.278199
median37.539749
Q337.745225
95-th percentile37.898166
Maximum37.979042
Range0.88191898
Interquartile range (IQR)0.46702571

Descriptive statistics

Standard deviation0.24749718
Coefficient of variation (CV)0.006597451
Kurtosis-1.4190291
Mean37.514061
Median Absolute Deviation (MAD)0.24326181
Skewness0.13758126
Sum375140.61
Variance0.061254855
MonotonicityNot monotonic
2024-05-10T21:34:50.150536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.754339 23
 
0.2%
37.739246 19
 
0.2%
37.74451 17
 
0.2%
37.747598 15
 
0.1%
37.2505496 14
 
0.1%
37.744181 12
 
0.1%
37.27756973 12
 
0.1%
37.74025 11
 
0.1%
37.36410715 10
 
0.1%
37.742793 9
 
0.1%
Other values (8006) 9858
98.6%
ValueCountFrequency (%)
37.09712312 1
< 0.1%
37.10215881 1
< 0.1%
37.10225787 1
< 0.1%
37.10233462 1
< 0.1%
37.10330805 1
< 0.1%
37.10485502 1
< 0.1%
37.10486442 1
< 0.1%
37.10506995 1
< 0.1%
37.10522327 1
< 0.1%
37.10535589 1
< 0.1%
ValueCountFrequency (%)
37.9790421 1
< 0.1%
37.9747455 1
< 0.1%
37.9733766 1
< 0.1%
37.9728538 1
< 0.1%
37.9723244 2
< 0.1%
37.9713211 1
< 0.1%
37.9701873 1
< 0.1%
37.9699728 1
< 0.1%
37.9689157 1
< 0.1%
37.965662 1
< 0.1%

경도
Real number (ℝ)

Distinct7952
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.29108
Minimum126.6838
Maximum127.75296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:34:50.605288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6838
5-th percentile126.96569
Q1127.09014
median127.21098
Q3127.51626
95-th percentile127.67557
Maximum127.75296
Range1.0691606
Interquartile range (IQR)0.42612565

Descriptive statistics

Standard deviation0.24266718
Coefficient of variation (CV)0.0019063959
Kurtosis-1.2316298
Mean127.29108
Median Absolute Deviation (MAD)0.21308645
Skewness0.15987483
Sum1272910.8
Variance0.058887362
MonotonicityNot monotonic
2024-05-10T21:34:51.082353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.113414 22
 
0.2%
127.047584 19
 
0.2%
127.090054 18
 
0.2%
127.108117 15
 
0.1%
127.4826517 14
 
0.1%
127.095778 14
 
0.1%
127.441596 12
 
0.1%
127.4439125 10
 
0.1%
127.056946 10
 
0.1%
127.5402383 10
 
0.1%
Other values (7942) 9856
98.6%
ValueCountFrequency (%)
126.6838004 1
< 0.1%
126.686117 2
< 0.1%
126.6867513 1
< 0.1%
126.6875486 2
< 0.1%
126.6887594 1
< 0.1%
126.6911528 1
< 0.1%
126.6913607 2
< 0.1%
126.6916653 1
< 0.1%
126.691828 1
< 0.1%
126.6919584 1
< 0.1%
ValueCountFrequency (%)
127.752961 1
 
< 0.1%
127.7517021 1
 
< 0.1%
127.750991 1
 
< 0.1%
127.7507918 8
0.1%
127.750619 2
 
< 0.1%
127.7501369 5
0.1%
127.7499718 4
< 0.1%
127.7499678 1
 
< 0.1%
127.7499211 2
 
< 0.1%
127.7495662 1
 
< 0.1%

안전표지구분
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

안전표지종별일련번호
Text

Distinct135
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T21:34:51.656412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0032
Min length2

Characters and Unicode

Total characters30032
Distinct characters14
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st row329
2nd row322
3rd row313
4th row311
5th row129
ValueCountFrequency (%)
224 1321
 
13.2%
322 946
 
9.5%
129 841
 
8.4%
218 803
 
8.0%
226 581
 
5.8%
132 419
 
4.2%
415 313
 
3.1%
329 288
 
2.9%
428 276
 
2.8%
311 243
 
2.4%
Other values (125) 3969
39.7%
2024-05-10T21:34:52.727196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 10750
35.8%
1 5626
18.7%
4 3651
 
12.2%
3 3467
 
11.5%
0 1425
 
4.7%
8 1414
 
4.7%
9 1412
 
4.7%
5 860
 
2.9%
6 853
 
2.8%
7 559
 
1.9%
Other values (4) 15
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30017
> 99.9%
Dash Punctuation 10
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Letter 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10750
35.8%
1 5626
18.7%
4 3651
 
12.2%
3 3467
 
11.6%
0 1425
 
4.7%
8 1414
 
4.7%
9 1412
 
4.7%
5 860
 
2.9%
6 853
 
2.8%
7 559
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Letter
ValueCountFrequency (%)
의 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30029
> 99.9%
Hangul 2
 
< 0.1%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10750
35.8%
1 5626
18.7%
4 3651
 
12.2%
3 3467
 
11.5%
0 1425
 
4.7%
8 1414
 
4.7%
9 1412
 
4.7%
5 860
 
2.9%
6 853
 
2.8%
7 559
 
1.9%
Other values (2) 12
 
< 0.1%
Hangul
ValueCountFrequency (%)
의 2
100.0%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30030
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10750
35.8%
1 5626
18.7%
4 3651
 
12.2%
3 3467
 
11.5%
0 1425
 
4.7%
8 1414
 
4.7%
9 1412
 
4.7%
5 860
 
2.9%
6 853
 
2.8%
7 559
 
1.9%
Other values (3) 13
 
< 0.1%
Hangul
ValueCountFrequency (%)
의 2
100.0%

주행제한속도
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.3%
Missing7702
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean42.754569
Minimum10
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T21:34:53.239708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile30
Q130
median40
Q350
95-th percentile60
Maximum80
Range70
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.866543
Coefficient of variation (CV)0.3009396
Kurtosis-0.61792774
Mean42.754569
Median Absolute Deviation (MAD)10
Skewness0.47593772
Sum98250
Variance165.54792
MonotonicityNot monotonic
2024-05-10T21:34:53.662418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
30 912
 
9.1%
50 689
 
6.9%
60 283
 
2.8%
40 279
 
2.8%
70 86
 
0.9%
20 25
 
0.2%
80 22
 
0.2%
10 2
 
< 0.1%
(Missing) 7702
77.0%
ValueCountFrequency (%)
10 2
 
< 0.1%
20 25
 
0.2%
30 912
9.1%
40 279
 
2.8%
50 689
6.9%
60 283
 
2.8%
70 86
 
0.9%
80 22
 
0.2%
ValueCountFrequency (%)
80 22
 
0.2%
70 86
 
0.9%
60 283
 
2.8%
50 689
6.9%
40 279
 
2.8%
30 912
9.1%
20 25
 
0.2%
10 2
 
< 0.1%

안전표지설명
Text

Distinct278
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T21:34:54.274597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length5.6045
Min length2

Characters and Unicode

Total characters56045
Distinct characters164
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)0.6%

Sample

1st row비보호좌회전표지
2nd row횡단보도
3rd row우측면통행표지
4th row유턴표지
5th row과속방지턱
ValueCountFrequency (%)
횡단보도 1101
 
9.4%
최고속도제한 980
 
8.4%
과속방지턱 841
 
7.2%
정차/주차금지 553
 
4.7%
서행 367
 
3.1%
최고속도제한표지 348
 
3.0%
횡단보도표지 325
 
2.8%
좌회전 279
 
2.4%
통행주의 273
 
2.3%
자전거 263
 
2.3%
Other values (261) 6358
54.4%
2024-05-10T21:34:55.414427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4539
 
8.1%
도 3493
 
6.2%
보 2643
 
4.7%
표 2251
 
4.0%
속 2188
 
3.9%
차 2172
 
3.9%
1688
 
3.0%
제 1639
 
2.9%
행 1549
 
2.8%
한 1506
 
2.7%
Other values (154) 32377
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53324
95.1%
Space Separator 1688
 
3.0%
Other Punctuation 628
 
1.1%
Close Punctuation 164
 
0.3%
Open Punctuation 164
 
0.3%
Uppercase Letter 28
 
< 0.1%
Other Symbol 23
 
< 0.1%
Math Symbol 22
 
< 0.1%
Decimal Number 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4539
 
8.5%
도 3493
 
6.6%
보 2643
 
5.0%
표 2251
 
4.2%
속 2188
 
4.1%
차 2172
 
4.1%
제 1639
 
3.1%
행 1549
 
2.9%
한 1506
 
2.8%
로 1474
 
2.8%
Other values (139) 29870
56.0%
Other Punctuation
ValueCountFrequency (%)
/ 553
88.1%
· 72
 
11.5%
, 2
 
0.3%
. 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
7 1
33.3%
2 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 23
82.1%
Y 5
 
17.9%
Space Separator
ValueCountFrequency (%)
1688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Other Symbol
ValueCountFrequency (%)
┼ 23
100.0%
Math Symbol
ValueCountFrequency (%)
+ 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53324
95.1%
Common 2692
 
4.8%
Latin 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4539
 
8.5%
도 3493
 
6.6%
보 2643
 
5.0%
표 2251
 
4.2%
속 2188
 
4.1%
차 2172
 
4.1%
제 1639
 
3.1%
행 1549
 
2.9%
한 1506
 
2.8%
로 1474
 
2.8%
Other values (139) 29870
56.0%
Common
ValueCountFrequency (%)
1688
62.7%
/ 553
 
20.5%
) 164
 
6.1%
( 164
 
6.1%
· 72
 
2.7%
┼ 23
 
0.9%
+ 22
 
0.8%
, 2
 
0.1%
4 1
 
< 0.1%
. 1
 
< 0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
T 23
79.3%
Y 5
 
17.2%
m 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53168
94.9%
ASCII 2626
 
4.7%
Compat Jamo 156
 
0.3%
None 72
 
0.1%
Box Drawing 23
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4539
 
8.5%
도 3493
 
6.6%
보 2643
 
5.0%
표 2251
 
4.2%
속 2188
 
4.1%
차 2172
 
4.1%
제 1639
 
3.1%
행 1549
 
2.9%
한 1506
 
2.8%
로 1474
 
2.8%
Other values (136) 29714
55.9%
ASCII
ValueCountFrequency (%)
1688
64.3%
/ 553
 
21.1%
) 164
 
6.2%
( 164
 
6.2%
T 23
 
0.9%
+ 22
 
0.8%
Y 5
 
0.2%
, 2
 
0.1%
4 1
 
< 0.1%
. 1
 
< 0.1%
Other values (3) 3
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㅏ 96
61.5%
ㅓ 59
37.8%
ㅜ 1
 
0.6%
None
ValueCountFrequency (%)
· 72
100.0%
Box Drawing
ValueCountFrequency (%)
┼ 23
100.0%

지주형식
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
4309 
1
2868 
<NA>
2293 
2
513 
99
 
9

Length

Max length4
Median length1
Mean length1.6888
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
3 4309
43.1%
1 2868
28.7%
<NA> 2293
22.9%
2 513
 
5.1%
99 9
 
0.1%
4 8
 
0.1%

Length

2024-05-10T21:34:55.904881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:34:56.235693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4309
43.1%
1 2868
28.7%
na 2293
22.9%
2 513
 
5.1%
99 9
 
0.1%
4 8
 
0.1%

제2외국어표기여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2327
Missing (%)23.3%
Memory size97.7 KiB
False
7000 
True
 
673
(Missing)
2327 
ValueCountFrequency (%)
False 7000
70.0%
True 673
 
6.7%
(Missing) 2327
 
23.3%
2024-05-10T21:34:56.626024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

설치일자
Date

MISSING 

Distinct27
Distinct (%)0.5%
Missing4742
Missing (%)47.4%
Memory size156.2 KiB
Minimum2008-04-01 00:00:00
Maximum2022-12-15 00:00:00
2024-05-10T21:34:56.934565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:34:57.255259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

관리기관명
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 여주시청
2304 
경기도 이천시청
2071 
경기도 의정부시청
1374 
경기도 양주시청
1196 
경기도 하남시청
1049 
Other values (6)
2006 

Length

Max length13
Median length8
Mean length8.1914
Min length8

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경기도 성남시청
2nd row경기도 의정부시청
3rd row경기도 여주시청
4th row경기도 여주시청
5th row경기도 이천시청

Common Values

ValueCountFrequency (%)
경기도 여주시청 2304
23.0%
경기도 이천시청 2071
20.7%
경기도 의정부시청 1374
13.7%
경기도 양주시청 1196
12.0%
경기도 하남시청 1049
10.5%
경기도 포천시청 821
 
8.2%
경기도 구리시청 818
 
8.2%
경기도 성남시청 146
 
1.5%
경기도 파주시청 113
 
1.1%
경기도 수원시 교통정책과 107
 
1.1%

Length

2024-05-10T21:34:57.811611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 10000
49.7%
여주시청 2304
 
11.5%
이천시청 2071
 
10.3%
의정부시청 1374
 
6.8%
양주시청 1196
 
5.9%
하남시청 1049
 
5.2%
포천시청 821
 
4.1%
구리시청 818
 
4.1%
성남시청 146
 
0.7%
파주시청 113
 
0.6%
Other values (4) 216
 
1.1%

관리기관전화번호
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
031-644-2437
2069 
031-887-2114
1948 
031-828-2114
1374 
031-8082-4114
1196 
031-790-6114
1049 
Other values (9)
2364 

Length

Max length13
Median length12
Mean length12.1196
Min length12

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row031-729-3674
2nd row031-828-2114
3rd row031-887-2114
4th row031-887-2114
5th row031-644-2437

Common Values

ValueCountFrequency (%)
031-644-2437 2069
20.7%
031-887-2114 1948
19.5%
031-828-2114 1374
13.7%
031-8082-4114 1196
12.0%
031-790-6114 1049
10.5%
031-538-2114 821
 
8.2%
031-557-1010 818
 
8.2%
031-887-2623 356
 
3.6%
031-940-5796 113
 
1.1%
031-228-2298 107
 
1.1%
Other values (4) 149
 
1.5%

Length

2024-05-10T21:34:58.223454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-644-2437 2069
20.7%
031-887-2114 1948
19.5%
031-828-2114 1374
13.7%
031-8082-4114 1196
12.0%
031-790-6114 1049
10.5%
031-538-2114 821
 
8.2%
031-557-1010 818
 
8.2%
031-887-2623 356
 
3.6%
031-940-5796 113
 
1.1%
031-228-2298 107
 
1.1%
Other values (4) 149
 
1.5%

데이터기준일자
Date

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-11-30 00:00:00
Maximum2023-12-08 00:00:00
2024-05-10T21:34:58.723935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:34:59.093263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

Sample

안전표지일련번호도로종류도로노선번호도로노선명도로노선방향도로형태차로수도로폭소재지도로명주소소재지지번주소위도경도안전표지구분안전표지종별일련번호주행제한속도안전표지설명지주형식제2외국어표기여부설치일자관리기관명관리기관전화번호데이터기준일자
23237<NA>시도<NA>장미로11<NA><NA>경기도 성남시 분당구 장미로 101경기도 성남시 분당구 야탑동 33437.415965127.12938803329<NA>비보호좌회전표지2<NA><NA>경기도 성남시청031-729-36742023-10-17
49494202-SS-01시도<NA>송현로82번길31111.0<NA>경기도 의정부시 민락동 779-837.744982127.091597332230횡단보도1N2013-01-01경기도 의정부시청031-828-21142023-02-27
369294809국가지원지방도345호주내로114<NA><NA>경기도 여주시 상동 38-237.291655127.6535323313<NA>우측면통행표지1N<NA>경기도 여주시청031-887-21142023-11-15
361143230국가지원지방도333호여주남로125<NA><NA>경기도 여주시 가남읍 심석리 358-737.205393127.5530863311<NA>유턴표지3N<NA>경기도 여주시청031-887-21142023-11-15
26566<NA>시도<NA>사동로2<NA><NA><NA><NA>경기도 이천시 대월면 사동리 347-2337.242534127.4956251129<NA>과속방지턱<NA><NA><NA>경기도 이천시청031-644-24372023-12-05
8620297-SS-01시도<NA>회룡로32627.5경기도 의정부시 평화로 375경기도 의정부시 호원동 414-1237.725431127.047935332550자전거 횡단보도3N2008-04-01경기도 의정부시청031-828-21142023-02-27
3290031260-SS-03742-01시도<NA>그루고개로32210.2<NA>경기도 양주시 광적면 가납리 166-137.830657126.9994111132<NA>횡단보도3N2022-12-15경기도 양주시청031-8082-41142023-12-08
106443261국가지원지방도333호설가로112<NA><NA>경기도 여주시 가남읍 태평리 128-137.199374127.5413704422<NA>전방표지1N<NA>경기도 여주시청031-887-21142023-11-15
4250531270-SS-01428-02지방도383죽엽산로32214.3<NA>경기도 포천시 소흘읍 이가팔리 453-137.823752127.1554711129<NA>과속방지턱3N2022-11-30경기도 포천시청031-538-21142022-11-30
26888<NA>시도<NA>대산로2<NA><NA><NA><NA>경기도 이천시 대월면 대대리 611-137.222413127.4777451129<NA>과속방지턱<NA><NA><NA>경기도 이천시청031-644-24372023-12-05
안전표지일련번호도로종류도로노선번호도로노선명도로노선방향도로형태차로수도로폭소재지도로명주소소재지지번주소위도경도안전표지구분안전표지종별일련번호주행제한속도안전표지설명지주형식제2외국어표기여부설치일자관리기관명관리기관전화번호데이터기준일자
2097531180-SS-00544-02시도<NA>대청로116번길31419.5<NA>경기도 하남시 창우동 52737.539055127.2248944425<NA>거리3N2022-12-12경기도 하남시청031-790-61142022-12-12
24758<NA>기타<NA>부악로2<NA><NA><NA><NA>경기도 이천시 중리동 37837.272595127.4360363329<NA>비보호좌회전<NA><NA><NA>경기도 이천시청031-644-24372023-12-05
2137<NA>지방도325번덕평로1<NA><NA><NA><NA>경기도 이천시 마장면 이평리 166-137.22094127.3729821129<NA>과속방지턱<NA><NA><NA>경기도 이천시청031-644-24372023-12-05
2101431270-SS-02079-02시도<NA>왕방로31418.5경기도 포천시 신북면 청성사길 6경기도 포천시 신북면 가채리 816-737.904938127.20449504405<NA>시간1N2022-11-30경기도 포천시청031-538-21142022-11-30
4394531260-SS-00704-01시도<NA>기산로471번길3114.0<NA>경기도 양주시 백석읍 기산리 322-137.778087126.9427731133<NA>어린이보호1N2022-12-15경기도 양주시청031-8082-41142023-12-08
3856939일반국도42호여원로154<NA><NA>경기도 여주시 연양동 448-337.281236127.66839403313<NA>우측면통행표지3N<NA>경기도 여주시청031-887-26232023-11-15
55721698-SS-01시도<NA>장곡로32422.5<NA>경기도 의정부시 신곡동 763-337.749713127.071316221340우회전 금지3N2008-04-01경기도 의정부시청031-828-21142023-02-27
26549<NA>기타<NA>애련정로 136번길1<NA><NA><NA><NA>경기도 이천시 창전동 산 437.282477127.451471129<NA>과속방지턱<NA><NA><NA>경기도 이천시청031-644-24372023-12-05
7334401-SS-01시도<NA>거북로31215.0경기도 의정부시 거북로 34경기도 의정부시 금오동 285-3437.751625127.0571112930과속방지턱1N2008-04-01경기도 의정부시청031-828-21142023-02-27
58313299-SS-01시도<NA>장곡로31422.5<NA>경기도 의정부시 신곡동 814-337.749627127.067168440930안전속도3N2008-04-01경기도 의정부시청031-828-21142023-02-27