Overview

Dataset statistics

Number of variables77
Number of observations10000
Missing cells412568
Missing cells (%)53.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 MiB
Average record size in memory650.0 B

Variable types

Text31
Categorical18
Numeric11
Unsupported15
DateTime2

Dataset

Description도로 안내표지 현황(제공표준)
Author국토교통부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=J0PZCSN3C4XOOZ39YIUU26876401&infSeq=1

Alerts

방향정보4OnTheWay도로명 has constant value ""Constant
방향정보5OnTheWay도로종별 has constant value ""Constant
방향정보5근거리안내지명(2) has constant value ""Constant
방향정보6근거리안내지명(1) has constant value ""Constant
방향정보1OnTheWay도로명 is highly imbalanced (96.9%)Imbalance
방향정보1ToTheWay도로종별 is highly imbalanced (57.8%)Imbalance
방향정보1ToTheWay도로명 is highly imbalanced (98.5%)Imbalance
방향정보2OnTheWay도로종별 is highly imbalanced (57.1%)Imbalance
방향정보2OnTheWay도로명 is highly imbalanced (97.9%)Imbalance
방향정보2ToTheWay도로종별 is highly imbalanced (61.6%)Imbalance
방향정보2ToTheWay도로명 is highly imbalanced (98.9%)Imbalance
방향정보3OnTheWay도로종별 is highly imbalanced (76.0%)Imbalance
방향정보3OnTheWay도로명 is highly imbalanced (98.5%)Imbalance
방향정보3ToTheWay도로종별 is highly imbalanced (76.6%)Imbalance
방향정보4OnTheWay도로종별 is highly imbalanced (98.7%)Imbalance
방향정보4ToTheWay도로종별 is highly imbalanced (98.4%)Imbalance
방향정보5 is highly imbalanced (99.5%)Imbalance
방향정보5OnTheWay노선번호 is highly imbalanced (99.7%)Imbalance
방향정보6 is highly imbalanced (99.9%)Imbalance
차로수 has 8084 (80.8%) missing valuesMissing
소재지지번주소 has 9992 (99.9%) missing valuesMissing
위도 has 967 (9.7%) missing valuesMissing
경도 has 971 (9.7%) missing valuesMissing
방향정보1 has 3854 (38.5%) missing valuesMissing
방향정보1OnTheWay노선번호 has 7468 (74.7%) missing valuesMissing
방향정보1ToTheWay노선번호 has 8551 (85.5%) missing valuesMissing
방향정보1원거리안내지명 has 5466 (54.7%) missing valuesMissing
방향정보1근거리안내지명(1) has 4219 (42.2%) missing valuesMissing
방향정보1근거리안내지명(2) has 9403 (94.0%) missing valuesMissing
방향정보2 has 4508 (45.1%) missing valuesMissing
방향정보2OnTheWay노선번호 has 8374 (83.7%) missing valuesMissing
방향정보2ToTheWay노선번호 has 8779 (87.8%) missing valuesMissing
방향정보2원거리안내지명 has 6282 (62.8%) missing valuesMissing
방향정보2근거리안내지명(1) has 4768 (47.7%) missing valuesMissing
방향정보2근거리안내지명(2) has 9479 (94.8%) missing valuesMissing
방향정보3 has 7275 (72.8%) missing valuesMissing
방향정보3OnTheWay노선번호 has 9322 (93.2%) missing valuesMissing
방향정보3ToTheWay노선번호 has 9546 (95.5%) missing valuesMissing
방향정보3ToTheWay도로명 has 9991 (99.9%) missing valuesMissing
방향정보3원거리안내지명 has 8127 (81.3%) missing valuesMissing
방향정보3근거리안내지명(1) has 7415 (74.2%) missing valuesMissing
방향정보3근거리안내지명(2) has 9769 (97.7%) missing valuesMissing
방향정보4 has 9924 (99.2%) missing valuesMissing
방향정보4OnTheWay노선번호 has 9977 (99.8%) missing valuesMissing
방향정보4OnTheWay도로명 has 9999 (> 99.9%) missing valuesMissing
방향정보4ToTheWay노선번호 has 9973 (99.7%) missing valuesMissing
방향정보4ToTheWay도로명 has 9997 (> 99.9%) missing valuesMissing
방향정보4원거리안내지명 has 9963 (99.6%) missing valuesMissing
방향정보4근거리안내지명(1) has 9922 (99.2%) missing valuesMissing
방향정보4근거리안내지명(2) has 9994 (99.9%) missing valuesMissing
방향정보5OnTheWay도로종별 has 9998 (> 99.9%) missing valuesMissing
방향정보5OnTheWay도로명 has 10000 (100.0%) missing valuesMissing
방향정보5ToTheWay도로종별 has 10000 (100.0%) missing valuesMissing
방향정보5ToTheWay노선번호 has 10000 (100.0%) missing valuesMissing
방향정보5ToTheWay도로명 has 10000 (100.0%) missing valuesMissing
방향정보5원거리안내지명 has 9995 (> 99.9%) missing valuesMissing
방향정보5근거리안내지명(1) has 9990 (99.9%) missing valuesMissing
방향정보5근거리안내지명(2) has 9999 (> 99.9%) missing valuesMissing
방향정보6OnTheWay도로종별 has 10000 (100.0%) missing valuesMissing
방향정보6OnTheWay노선번호 has 10000 (100.0%) missing valuesMissing
방향정보6OnTheWay도로명 has 10000 (100.0%) missing valuesMissing
방향정보6ToTheWay도로종별 has 10000 (100.0%) missing valuesMissing
방향정보6ToTheWay노선번호 has 10000 (100.0%) missing valuesMissing
방향정보6ToTheWay도로명 has 10000 (100.0%) missing valuesMissing
방향정보6원거리안내지명 has 10000 (100.0%) missing valuesMissing
방향정보6근거리안내지명(1) has 9999 (> 99.9%) missing valuesMissing
방향정보6근거리안내지명(2) has 10000 (100.0%) missing valuesMissing
지주형식 has 154 (1.5%) missing valuesMissing
도로안내표지일련번호 has unique valuesUnique
방향정보2ToTheWay노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보3ToTheWay노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보4ToTheWay노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보5OnTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보5ToTheWay도로종별 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보5ToTheWay노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보5ToTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6OnTheWay도로종별 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6OnTheWay노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6OnTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6ToTheWay도로종별 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6ToTheWay노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6ToTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6원거리안내지명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6근거리안내지명(2) is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로노선번호 has 2722 (27.2%) zerosZeros

Reproduction

Analysis started2024-05-17 18:41:03.172605
Analysis finished2024-05-17 18:41:11.983400
Duration8.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로안내표지일련번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T03:41:12.264236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length17.745
Min length10

Characters and Unicode

Total characters177450
Distinct characters330
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowRR-349[양동로]-하-29
2nd rowRR-315[사은로]-상-14
3rd rowUR(부천시)-[순환동로]-하-5
4th rowNR-6[경강로]-하-234
5th rowGR(가평군)-[양방가루재길]-상-4
ValueCountFrequency (%)
ur(서울특별시 3
 
< 0.1%
rr-70[진상미로]-하-94 1
 
< 0.1%
nr-43[호국로]-상-403 1
 
< 0.1%
nr-38[서동대로]-상-516 1
 
< 0.1%
nr-42[중부대로]-상-468 1
 
< 0.1%
nr-77[서해안로]-하-602 1
 
< 0.1%
er-15[서해안고속도로]-상-448 1
 
< 0.1%
nr-37[마유산로]-상-515 1
 
< 0.1%
nr-75[가화로]-하-109 1
 
< 0.1%
nr-37[장여로]-하-1352 1
 
< 0.1%
Other values (9991) 9991
99.9%
2024-05-18T03:41:13.239835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30012
 
16.9%
R 12395
 
7.0%
[ 9996
 
5.6%
] 9996
 
5.6%
로 9914
 
5.6%
3 6663
 
3.8%
1 6476
 
3.6%
상 5176
 
2.9%
하 5002
 
2.8%
2 4306
 
2.4%
Other values (320) 77514
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60634
34.2%
Decimal Number 41184
23.2%
Dash Punctuation 30012
16.9%
Uppercase Letter 20000
 
11.3%
Open Punctuation 12807
 
7.2%
Close Punctuation 12807
 
7.2%
Other Punctuation 3
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9914
 
16.4%
상 5176
 
8.5%
하 5002
 
8.2%
시 2735
 
4.5%
고 2657
 
4.4%
대 1838
 
3.0%
양 1806
 
3.0%
도 1664
 
2.7%
속 1535
 
2.5%
서 1150
 
1.9%
Other values (298) 27157
44.8%
Decimal Number
ValueCountFrequency (%)
3 6663
16.2%
1 6476
15.7%
2 4306
10.5%
7 4150
10.1%
4 4125
10.0%
5 3529
8.6%
0 3330
8.1%
8 3036
7.4%
6 2886
7.0%
9 2683
6.5%
Uppercase Letter
ValueCountFrequency (%)
R 12395
62.0%
N 3401
 
17.0%
U 2614
 
13.1%
E 1402
 
7.0%
G 188
 
0.9%
Open Punctuation
ValueCountFrequency (%)
[ 9996
78.1%
( 2811
 
21.9%
Close Punctuation
ValueCountFrequency (%)
] 9996
78.1%
) 2811
 
21.9%
Dash Punctuation
ValueCountFrequency (%)
- 30012
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96816
54.6%
Hangul 60634
34.2%
Latin 20000
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9914
 
16.4%
상 5176
 
8.5%
하 5002
 
8.2%
시 2735
 
4.5%
고 2657
 
4.4%
대 1838
 
3.0%
양 1806
 
3.0%
도 1664
 
2.7%
속 1535
 
2.5%
서 1150
 
1.9%
Other values (298) 27157
44.8%
Common
ValueCountFrequency (%)
- 30012
31.0%
[ 9996
 
10.3%
] 9996
 
10.3%
3 6663
 
6.9%
1 6476
 
6.7%
2 4306
 
4.4%
7 4150
 
4.3%
4 4125
 
4.3%
5 3529
 
3.6%
0 3330
 
3.4%
Other values (7) 14233
14.7%
Latin
ValueCountFrequency (%)
R 12395
62.0%
N 3401
 
17.0%
U 2614
 
13.1%
E 1402
 
7.0%
G 188
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116816
65.8%
Hangul 60634
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30012
25.7%
R 12395
10.6%
[ 9996
 
8.6%
] 9996
 
8.6%
3 6663
 
5.7%
1 6476
 
5.5%
2 4306
 
3.7%
7 4150
 
3.6%
4 4125
 
3.5%
5 3529
 
3.0%
Other values (12) 25168
21.5%
Hangul
ValueCountFrequency (%)
로 9914
 
16.4%
상 5176
 
8.5%
하 5002
 
8.2%
시 2735
 
4.5%
고 2657
 
4.4%
대 1838
 
3.0%
양 1806
 
3.0%
도 1664
 
2.7%
속 1535
 
2.5%
서 1150
 
1.9%
Other values (298) 27157
44.8%

도로종류
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
NR
3401 
UR
2614 
RR
2395 
ER
1402 
GR
 
188

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRR
2nd rowRR
3rd rowUR
4th rowNR
5th rowGR

Common Values

ValueCountFrequency (%)
NR 3401
34.0%
UR 2614
26.1%
RR 2395
23.9%
ER 1402
14.0%
GR 188
 
1.9%

Length

2024-05-18T03:41:13.658088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:13.985400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
nr 3401
34.0%
ur 2614
26.1%
rr 2395
23.9%
er 1402
14.0%
gr 188
 
1.9%

도로노선번호
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.7328
Minimum0
Maximum583
Zeros2722
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:14.394579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39
Q382.5
95-th percentile359
Maximum583
Range583
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation119.67897
Coefficient of variation (CV)1.4292962
Kurtosis0.95756655
Mean83.7328
Median Absolute Deviation (MAD)39
Skewness1.579528
Sum837328
Variance14323.057
MonotonicityNot monotonic
2024-05-18T03:41:14.858851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2722
27.2%
37 443
 
4.4%
43 409
 
4.1%
1 381
 
3.8%
39 336
 
3.4%
42 292
 
2.9%
45 288
 
2.9%
100 273
 
2.7%
3 273
 
2.7%
77 246
 
2.5%
Other values (91) 4337
43.4%
ValueCountFrequency (%)
0 2722
27.2%
1 381
 
3.8%
3 273
 
2.7%
6 140
 
1.4%
15 91
 
0.9%
17 137
 
1.4%
23 194
 
1.9%
29 92
 
0.9%
34 4
 
< 0.1%
35 73
 
0.7%
ValueCountFrequency (%)
583 3
 
< 0.1%
531 2
 
< 0.1%
400 37
0.4%
397 17
 
0.2%
393 4
 
< 0.1%
391 23
0.2%
390 2
 
< 0.1%
389 25
0.2%
387 45
0.4%
385 7
 
0.1%

도로노선명
Text

Distinct953
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T03:41:15.580214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.299
Min length1

Characters and Unicode

Total characters42990
Distinct characters321
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)2.6%

Sample

1st row양동로
2nd row사은로
3rd row순환동로
4th row경강로
5th row양방가루재길
ValueCountFrequency (%)
서울외곽순환고속도로 273
 
2.7%
서동대로 241
 
2.4%
영동고속도로 207
 
2.1%
호국로 168
 
1.7%
중부대로 158
 
1.6%
평화로 154
 
1.5%
경충대로 134
 
1.3%
금강로 126
 
1.3%
서해로 124
 
1.2%
용인서울고속도로 118
 
1.2%
Other values (943) 8297
83.0%
2024-05-18T03:41:16.665465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9903
23.0%
대 1839
 
4.3%
고 1720
 
4.0%
도 1647
 
3.8%
속 1522
 
3.5%
서 1128
 
2.6%
경 936
 
2.2%
동 741
 
1.7%
부 608
 
1.4%
양 576
 
1.3%
Other values (311) 22370
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41885
97.4%
Decimal Number 1082
 
2.5%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9903
23.6%
대 1839
 
4.4%
고 1720
 
4.1%
도 1647
 
3.9%
속 1522
 
3.6%
서 1128
 
2.7%
경 936
 
2.2%
동 741
 
1.8%
부 608
 
1.5%
양 576
 
1.4%
Other values (297) 21265
50.8%
Decimal Number
ValueCountFrequency (%)
2 320
29.6%
1 198
18.3%
3 144
13.3%
6 82
 
7.6%
4 76
 
7.0%
7 75
 
6.9%
5 53
 
4.9%
8 51
 
4.7%
0 44
 
4.1%
9 39
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41885
97.4%
Common 1105
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9903
23.6%
대 1839
 
4.4%
고 1720
 
4.1%
도 1647
 
3.9%
속 1522
 
3.6%
서 1128
 
2.7%
경 936
 
2.2%
동 741
 
1.8%
부 608
 
1.5%
양 576
 
1.4%
Other values (297) 21265
50.8%
Common
ValueCountFrequency (%)
2 320
29.0%
1 198
17.9%
3 144
13.0%
6 82
 
7.4%
4 76
 
6.9%
7 75
 
6.8%
5 53
 
4.8%
8 51
 
4.6%
0 44
 
4.0%
9 39
 
3.5%
Other values (4) 23
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41885
97.4%
ASCII 1105
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9903
23.6%
대 1839
 
4.4%
고 1720
 
4.1%
도 1647
 
3.9%
속 1522
 
3.6%
서 1128
 
2.7%
경 936
 
2.2%
동 741
 
1.8%
부 608
 
1.5%
양 576
 
1.4%
Other values (297) 21265
50.8%
ASCII
ValueCountFrequency (%)
2 320
29.0%
1 198
17.9%
3 144
13.0%
6 82
 
7.4%
4 76
 
6.9%
7 75
 
6.8%
5 53
 
4.8%
8 51
 
4.6%
0 44
 
4.0%
9 39
 
3.5%
Other values (4) 23
 
2.1%

도로노선방향
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
U
5094 
D
4906 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowU
3rd rowD
4th rowD
5th rowU

Common Values

ValueCountFrequency (%)
U 5094
50.9%
D 4906
49.1%

Length

2024-05-18T03:41:17.056388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:17.337939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 5094
50.9%
d 4906
49.1%

차로수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.5%
Missing8084
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean4.0876827
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:17.597520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7596091
Coefficient of variation (CV)0.43046617
Kurtosis0.091139886
Mean4.0876827
Median Absolute Deviation (MAD)1
Skewness0.68324861
Sum7832
Variance3.0962242
MonotonicityNot monotonic
2024-05-18T03:41:17.843234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 808
 
8.1%
2 439
 
4.4%
6 311
 
3.1%
3 144
 
1.4%
8 139
 
1.4%
5 36
 
0.4%
1 27
 
0.3%
10 7
 
0.1%
7 5
 
0.1%
(Missing) 8084
80.8%
ValueCountFrequency (%)
1 27
 
0.3%
2 439
4.4%
3 144
 
1.4%
4 808
8.1%
5 36
 
0.4%
6 311
 
3.1%
7 5
 
0.1%
8 139
 
1.4%
10 7
 
0.1%
ValueCountFrequency (%)
10 7
 
0.1%
8 139
 
1.4%
7 5
 
0.1%
6 311
 
3.1%
5 36
 
0.4%
4 808
8.1%
3 144
 
1.4%
2 439
4.4%
1 27
 
0.3%

소재지도로명주소
Text

Distinct2653
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T03:41:18.341693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length15.5466
Min length7

Characters and Unicode

Total characters155466
Distinct characters356
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique942 ?
Unique (%)9.4%

Sample

1st row경기도 양평군 양동면 쌍학리
2nd row경기도 용인시 기흥구 지곡동
3rd row경기도 부천시 상동
4th row경기도 남양주시 경강로
5th row경기도 가평군 설악면 양방가루재길
ValueCountFrequency (%)
경기도 10000
25.6%
고양시 1289
 
3.3%
화성시 876
 
2.2%
성남시 742
 
1.9%
덕양구 574
 
1.5%
분당구 502
 
1.3%
부천시 496
 
1.3%
남양주시 488
 
1.2%
용인시 482
 
1.2%
평택시 450
 
1.2%
Other values (1948) 23217
59.4%
2024-05-18T03:41:19.343285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29116
18.7%
도 11293
 
7.3%
경 10720
 
6.9%
기 10316
 
6.6%
시 9422
 
6.1%
로 5618
 
3.6%
동 4832
 
3.1%
양 3796
 
2.4%
구 3534
 
2.3%
리 3102
 
2.0%
Other values (346) 63717
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125542
80.8%
Space Separator 29116
 
18.7%
Decimal Number 757
 
0.5%
Close Punctuation 24
 
< 0.1%
Open Punctuation 24
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 11293
 
9.0%
경 10720
 
8.5%
기 10316
 
8.2%
시 9422
 
7.5%
로 5618
 
4.5%
동 4832
 
3.8%
양 3796
 
3.0%
구 3534
 
2.8%
리 3102
 
2.5%
면 2749
 
2.2%
Other values (332) 60160
47.9%
Decimal Number
ValueCountFrequency (%)
2 248
32.8%
1 152
20.1%
3 82
 
10.8%
7 59
 
7.8%
6 46
 
6.1%
4 40
 
5.3%
5 37
 
4.9%
0 35
 
4.6%
9 34
 
4.5%
8 24
 
3.2%
Space Separator
ValueCountFrequency (%)
29116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125542
80.8%
Common 29924
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 11293
 
9.0%
경 10720
 
8.5%
기 10316
 
8.2%
시 9422
 
7.5%
로 5618
 
4.5%
동 4832
 
3.8%
양 3796
 
3.0%
구 3534
 
2.8%
리 3102
 
2.5%
면 2749
 
2.2%
Other values (332) 60160
47.9%
Common
ValueCountFrequency (%)
29116
97.3%
2 248
 
0.8%
1 152
 
0.5%
3 82
 
0.3%
7 59
 
0.2%
6 46
 
0.2%
4 40
 
0.1%
5 37
 
0.1%
0 35
 
0.1%
9 34
 
0.1%
Other values (4) 75
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125542
80.8%
ASCII 29924
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29116
97.3%
2 248
 
0.8%
1 152
 
0.5%
3 82
 
0.3%
7 59
 
0.2%
6 46
 
0.2%
4 40
 
0.1%
5 37
 
0.1%
0 35
 
0.1%
9 34
 
0.1%
Other values (4) 75
 
0.3%
Hangul
ValueCountFrequency (%)
도 11293
 
9.0%
경 10720
 
8.5%
기 10316
 
8.2%
시 9422
 
7.5%
로 5618
 
4.5%
동 4832
 
3.8%
양 3796
 
3.0%
구 3534
 
2.8%
리 3102
 
2.5%
면 2749
 
2.2%
Other values (332) 60160
47.9%

소재지지번주소
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing9992
Missing (%)99.9%
Memory size156.2 KiB
2024-05-18T03:41:19.701119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.75
Min length1

Characters and Unicode

Total characters30
Distinct characters13
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

Unique8 ?
Unique (%)100.0%

Sample

1st row472-6
2nd row233
3rd row225-1
4th row890
5th row-
ValueCountFrequency (%)
472-6 1
11.1%
233 1
11.1%
225-1 1
11.1%
890 1
11.1%
1
11.1%
792 1
11.1%
505-1 1
11.1%
산 1
11.1%
7-1 1
11.1%
2024-05-18T03:41:20.639815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5
16.7%
- 5
16.7%
7 3
10.0%
5 3
10.0%
1 3
10.0%
3 2
 
6.7%
9 2
 
6.7%
0 2
 
6.7%
4 1
 
3.3%
6 1
 
3.3%
Other values (3) 3
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23
76.7%
Dash Punctuation 5
 
16.7%
Other Letter 1
 
3.3%
Space Separator 1
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
21.7%
7 3
13.0%
5 3
13.0%
1 3
13.0%
3 2
 
8.7%
9 2
 
8.7%
0 2
 
8.7%
4 1
 
4.3%
6 1
 
4.3%
8 1
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Letter
ValueCountFrequency (%)
산 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29
96.7%
Hangul 1
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5
17.2%
- 5
17.2%
7 3
10.3%
5 3
10.3%
1 3
10.3%
3 2
 
6.9%
9 2
 
6.9%
0 2
 
6.9%
4 1
 
3.4%
6 1
 
3.4%
Other values (2) 2
 
6.9%
Hangul
ValueCountFrequency (%)
산 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29
96.7%
Hangul 1
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5
17.2%
- 5
17.2%
7 3
10.3%
5 3
10.3%
1 3
10.3%
3 2
 
6.9%
9 2
 
6.9%
0 2
 
6.9%
4 1
 
3.4%
6 1
 
3.4%
Other values (2) 2
 
6.9%
Hangul
ValueCountFrequency (%)
산 1
100.0%

위도
Real number (ℝ)

MISSING 

Distinct8688
Distinct (%)96.2%
Missing967
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean37.470996
Minimum36.902194
Maximum38.224812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:21.157424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.902194
5-th percentile37.035247
Q137.266162
median37.452779
Q337.664649
95-th percentile37.910164
Maximum38.224812
Range1.322618
Interquartile range (IQR)0.398487

Descriptive statistics

Standard deviation0.26450901
Coefficient of variation (CV)0.0070590333
Kurtosis-0.62015292
Mean37.470996
Median Absolute Deviation (MAD)0.204258
Skewness0.14100347
Sum338475.5
Variance0.069965015
MonotonicityNot monotonic
2024-05-18T03:41:21.895379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.641557 4
 
< 0.1%
37.367948 3
 
< 0.1%
37.849352 3
 
< 0.1%
37.510317 3
 
< 0.1%
37.666923 3
 
< 0.1%
37.488525 3
 
< 0.1%
37.781765 3
 
< 0.1%
37.677705 3
 
< 0.1%
37.352187 3
 
< 0.1%
37.360081 3
 
< 0.1%
Other values (8678) 9002
90.0%
(Missing) 967
 
9.7%
ValueCountFrequency (%)
36.902194 1
< 0.1%
36.902863 1
< 0.1%
36.909153 1
< 0.1%
36.915353 1
< 0.1%
36.915978 1
< 0.1%
36.916051 1
< 0.1%
36.916193 1
< 0.1%
36.916613 1
< 0.1%
36.917295 1
< 0.1%
36.917328 1
< 0.1%
ValueCountFrequency (%)
38.224812 1
< 0.1%
38.212836 1
< 0.1%
38.207844 1
< 0.1%
38.201575 1
< 0.1%
38.184931 1
< 0.1%
38.181472 1
< 0.1%
38.181401 1
< 0.1%
38.178644 1
< 0.1%
38.178446 1
< 0.1%
38.174879 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct8685
Distinct (%)96.2%
Missing971
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean127.06963
Minimum126.52909
Maximum127.80178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:22.375642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52909
5-th percentile126.7456
Q1126.84598
median127.06205
Q3127.22093
95-th percentile127.58474
Maximum127.80178
Range1.272692
Interquartile range (IQR)0.374959

Descriptive statistics

Standard deviation0.25885543
Coefficient of variation (CV)0.0020371148
Kurtosis-0.39823244
Mean127.06963
Median Absolute Deviation (MAD)0.190365
Skewness0.57409352
Sum1147311.7
Variance0.067006135
MonotonicityNot monotonic
2024-05-18T03:41:22.888941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.125548 3
 
< 0.1%
126.696706 3
 
< 0.1%
127.244432 3
 
< 0.1%
126.788846 3
 
< 0.1%
126.954803 3
 
< 0.1%
126.772996 3
 
< 0.1%
126.882608 2
 
< 0.1%
127.128272 2
 
< 0.1%
126.760562 2
 
< 0.1%
126.873289 2
 
< 0.1%
Other values (8675) 9003
90.0%
(Missing) 971
 
9.7%
ValueCountFrequency (%)
126.529093 1
< 0.1%
126.529318 1
< 0.1%
126.531148 1
< 0.1%
126.536517 1
< 0.1%
126.547894 1
< 0.1%
126.548869 1
< 0.1%
126.548958 1
< 0.1%
126.549044 1
< 0.1%
126.550381 1
< 0.1%
126.551869 1
< 0.1%
ValueCountFrequency (%)
127.801785 1
< 0.1%
127.801589 1
< 0.1%
127.801573 1
< 0.1%
127.801383 1
< 0.1%
127.774795 1
< 0.1%
127.773959 1
< 0.1%
127.773643 1
< 0.1%
127.773571 1
< 0.1%
127.771478 1
< 0.1%
127.770531 1
< 0.1%

도로안내표지구분
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.2575
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:23.351284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.053608
Coefficient of variation (CV)2.2886892
Kurtosis5.6625636
Mean12.2575
Median Absolute Deviation (MAD)0
Skewness2.7659371
Sum122575
Variance787.00489
MonotonicityNot monotonic
2024-05-18T03:41:23.775034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 6687
66.9%
99 946
 
9.5%
4 827
 
8.3%
6 422
 
4.2%
2 386
 
3.9%
5 379
 
3.8%
1 353
 
3.5%
ValueCountFrequency (%)
1 353
 
3.5%
2 386
 
3.9%
3 6687
66.9%
4 827
 
8.3%
5 379
 
3.8%
6 422
 
4.2%
99 946
 
9.5%
ValueCountFrequency (%)
99 946
 
9.5%
6 422
 
4.2%
5 379
 
3.8%
4 827
 
8.3%
3 6687
66.9%
2 386
 
3.9%
1 353
 
3.5%

방향정보1
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing3854
Missing (%)38.5%
Infinite0
Infinite (%)0.0%
Mean4.8250895
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:24.146075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum84
Range83
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.061982
Coefficient of variation (CV)3.1215964
Kurtosis22.191077
Mean4.8250895
Median Absolute Deviation (MAD)1
Skewness4.9068623
Sum29655
Variance226.8633
MonotonicityNot monotonic
2024-05-18T03:41:24.474046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 2950
29.5%
3 2327
23.3%
2 644
 
6.4%
82 156
 
1.6%
81 45
 
0.4%
83 17
 
0.2%
84 7
 
0.1%
(Missing) 3854
38.5%
ValueCountFrequency (%)
1 2950
29.5%
2 644
 
6.4%
3 2327
23.3%
81 45
 
0.4%
82 156
 
1.6%
83 17
 
0.2%
84 7
 
0.1%
ValueCountFrequency (%)
84 7
 
0.1%
83 17
 
0.2%
82 156
 
1.6%
81 45
 
0.4%
3 2327
23.3%
2 644
 
6.4%
1 2950
29.5%

방향정보1OnTheWay도로종별
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6988 
NR
1084 
RR
857 
UR
808 
ER
 
224
Other values (2)
 
39

Length

Max length4
Median length4
Mean length3.3976
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6988
69.9%
NR 1084
 
10.8%
RR 857
 
8.6%
UR 808
 
8.1%
ER 224
 
2.2%
GR 38
 
0.4%
WR 1
 
< 0.1%

Length

2024-05-18T03:41:24.898458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:25.273633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6988
69.9%
nr 1084
 
10.8%
rr 857
 
8.6%
ur 808
 
8.1%
er 224
 
2.2%
gr 38
 
0.4%
wr 1
 
< 0.1%

방향정보1OnTheWay노선번호
Text

MISSING 

Distinct184
Distinct (%)7.3%
Missing7468
Missing (%)74.7%
Memory size156.2 KiB
2024-05-18T03:41:25.890485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.1066351
Min length1

Characters and Unicode

Total characters5334
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)1.9%

Sample

1st row315
2nd row17
3rd row360
4th row84
5th row3
ValueCountFrequency (%)
43 154
 
6.1%
1 148
 
5.8%
3 137
 
5.4%
39 114
 
4.5%
37 112
 
4.4%
45 86
 
3.4%
47 66
 
2.6%
38 62
 
2.4%
6 62
 
2.4%
100 58
 
2.3%
Other values (172) 1535
60.6%
2024-05-18T03:41:26.941969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1281
24.0%
4 654
12.3%
7 646
12.1%
1 601
11.3%
5 384
 
7.2%
0 384
 
7.2%
2 368
 
6.9%
8 345
 
6.5%
6 345
 
6.5%
9 266
 
5.0%
Other values (4) 60
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5274
98.9%
Other Letter 58
 
1.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1281
24.3%
4 654
12.4%
7 646
12.2%
1 601
11.4%
5 384
 
7.3%
0 384
 
7.3%
2 368
 
7.0%
8 345
 
6.5%
6 345
 
6.5%
9 266
 
5.0%
Other Letter
ValueCountFrequency (%)
시 56
96.6%
대 1
 
1.7%
로 1
 
1.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5276
98.9%
Hangul 58
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1281
24.3%
4 654
12.4%
7 646
12.2%
1 601
11.4%
5 384
 
7.3%
0 384
 
7.3%
2 368
 
7.0%
8 345
 
6.5%
6 345
 
6.5%
9 266
 
5.0%
Hangul
ValueCountFrequency (%)
시 56
96.6%
대 1
 
1.7%
로 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5276
98.9%
Hangul 58
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1281
24.3%
4 654
12.4%
7 646
12.2%
1 601
11.4%
5 384
 
7.3%
0 384
 
7.3%
2 368
 
7.0%
8 345
 
6.5%
6 345
 
6.5%
9 266
 
5.0%
Hangul
ValueCountFrequency (%)
시 56
96.6%
대 1
 
1.7%
로 1
 
1.7%

방향정보1OnTheWay도로명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9882 
영동선
 
28
서해안선
 
13
중앙공원로
 
9
서울외곽순환고속도로
 
8
Other values (17)
 
60

Length

Max length10
Median length4
Mean length3.9992
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9882
98.8%
영동선 28
 
0.3%
서해안선 13
 
0.1%
중앙공원로 9
 
0.1%
서울외곽순환고속도로 8
 
0.1%
강변로 7
 
0.1%
평택-안성선 6
 
0.1%
계남큰길 6
 
0.1%
신흥로 6
 
0.1%
부일로 6
 
0.1%
Other values (12) 29
 
0.3%

Length

2024-05-18T03:41:27.406958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9882
98.8%
영동선 28
 
0.3%
서해안선 13
 
0.1%
중앙공원로 9
 
0.1%
서울외곽순환고속도로 8
 
0.1%
강변로 7
 
0.1%
평택-안성선 6
 
0.1%
계남큰길 6
 
0.1%
신흥로 6
 
0.1%
부일로 6
 
0.1%
Other values (12) 29
 
0.3%

방향정보1ToTheWay도로종별
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8047 
NR
 
731
UR
 
566
ER
 
384
RR
 
264

Length

Max length4
Median length4
Mean length3.6094
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8047
80.5%
NR 731
 
7.3%
UR 566
 
5.7%
ER 384
 
3.8%
RR 264
 
2.6%
GR 8
 
0.1%

Length

2024-05-18T03:41:28.064521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:28.446114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8047
80.5%
nr 731
 
7.3%
ur 566
 
5.7%
er 384
 
3.8%
rr 264
 
2.6%
gr 8
 
0.1%

방향정보1ToTheWay노선번호
Text

MISSING 

Distinct125
Distinct (%)8.6%
Missing8551
Missing (%)85.5%
Memory size156.2 KiB
2024-05-18T03:41:28.968138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.0165631
Min length1

Characters and Unicode

Total characters2922
Distinct characters20
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

Unique36 ?
Unique (%)2.5%

Sample

1st row37
2nd row39
3rd row132
4th row50
5th row82
ValueCountFrequency (%)
1 136
 
9.4%
100 100
 
6.9%
39 91
 
6.3%
43 87
 
6.0%
3 77
 
5.3%
42 73
 
5.0%
6 71
 
4.9%
50 46
 
3.2%
45 46
 
3.2%
15 45
 
3.1%
Other values (114) 678
46.8%
2024-05-18T03:41:30.084228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 598
20.5%
1 449
15.4%
4 398
13.6%
0 371
12.7%
7 222
 
7.6%
5 221
 
7.6%
2 205
 
7.0%
6 183
 
6.3%
9 132
 
4.5%
8 130
 
4.4%
Other values (10) 13
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2909
99.6%
Other Letter 11
 
0.4%
Dash Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 598
20.6%
1 449
15.4%
4 398
13.7%
0 371
12.8%
7 222
 
7.6%
5 221
 
7.6%
2 205
 
7.0%
6 183
 
6.3%
9 132
 
4.5%
8 130
 
4.5%
Other Letter
ValueCountFrequency (%)
용 3
27.3%
준 2
18.2%
수 1
 
9.1%
원 1
 
9.1%
인 1
 
9.1%
시 1
 
9.1%
대 1
 
9.1%
로 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2911
99.6%
Hangul 11
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
3 598
20.5%
1 449
15.4%
4 398
13.7%
0 371
12.7%
7 222
 
7.6%
5 221
 
7.6%
2 205
 
7.0%
6 183
 
6.3%
9 132
 
4.5%
8 130
 
4.5%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
용 3
27.3%
준 2
18.2%
수 1
 
9.1%
원 1
 
9.1%
인 1
 
9.1%
시 1
 
9.1%
대 1
 
9.1%
로 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2911
99.6%
Hangul 11
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 598
20.5%
1 449
15.4%
4 398
13.7%
0 371
12.7%
7 222
 
7.6%
5 221
 
7.6%
2 205
 
7.0%
6 183
 
6.3%
9 132
 
4.5%
8 130
 
4.5%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
용 3
27.3%
준 2
18.2%
수 1
 
9.1%
원 1
 
9.1%
인 1
 
9.1%
시 1
 
9.1%
대 1
 
9.1%
로 1
 
9.1%

방향정보1ToTheWay도로명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9951 
국도
 
15
서해안선
 
8
경부선
 
7
경인고속도로
 
3
Other values (10)
 
16

Length

Max length10
Median length4
Mean length3.9976
Min length2

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9951
99.5%
국도 15
 
0.1%
서해안선 8
 
0.1%
경부선 7
 
0.1%
경인고속도로 3
 
< 0.1%
장말길 3
 
< 0.1%
서울외곽선 3
 
< 0.1%
영동선 3
 
< 0.1%
시도74호선 1
 
< 0.1%
중부선 1
 
< 0.1%
Other values (5) 5
 
0.1%

Length

2024-05-18T03:41:30.754332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9951
99.5%
국도 15
 
0.1%
서해안선 8
 
0.1%
경부선 7
 
0.1%
경인고속도로 3
 
< 0.1%
장말길 3
 
< 0.1%
서울외곽선 3
 
< 0.1%
영동선 3
 
< 0.1%
시도74호선 1
 
< 0.1%
중부선 1
 
< 0.1%
Other values (5) 5
 
< 0.1%

방향정보1원거리안내지명
Text

MISSING 

Distinct1086
Distinct (%)24.0%
Missing5466
Missing (%)54.7%
Memory size156.2 KiB
2024-05-18T03:41:31.262877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length3.4181738
Min length1

Characters and Unicode

Total characters15498
Distinct characters370
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique603 ?
Unique (%)13.3%

Sample

1st row고봉로
2nd row인천국제공항
3rd row농수산물종합유통센터
4th row도마리
5th row명현마을
ValueCountFrequency (%)
서울 393
 
8.6%
수원 151
 
3.3%
의정부 80
 
1.7%
춘천 72
 
1.6%
고양시청 71
 
1.6%
인천 71
 
1.6%
광주 64
 
1.4%
안산 61
 
1.3%
양평 60
 
1.3%
용인 58
 
1.3%
Other values (1070) 3495
76.4%
2024-05-18T03:41:32.161125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 667
 
4.3%
천 566
 
3.7%
울 526
 
3.4%
산 494
 
3.2%
원 459
 
3.0%
동 452
 
2.9%
청 358
 
2.3%
로 330
 
2.1%
시 328
 
2.1%
양 323
 
2.1%
Other values (360) 10995
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14398
92.9%
Uppercase Letter 255
 
1.6%
Decimal Number 248
 
1.6%
Other Punctuation 201
 
1.3%
Open Punctuation 164
 
1.1%
Close Punctuation 163
 
1.1%
Space Separator 42
 
0.3%
Dash Punctuation 14
 
0.1%
Lowercase Letter 10
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 667
 
4.6%
천 566
 
3.9%
울 526
 
3.7%
산 494
 
3.4%
원 459
 
3.2%
동 452
 
3.1%
청 358
 
2.5%
로 330
 
2.3%
시 328
 
2.3%
양 323
 
2.2%
Other values (322) 9895
68.7%
Uppercase Letter
ValueCountFrequency (%)
C 112
43.9%
I 111
43.5%
K 9
 
3.5%
T 8
 
3.1%
S 6
 
2.4%
B 3
 
1.2%
N 1
 
0.4%
W 1
 
0.4%
E 1
 
0.4%
R 1
 
0.4%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 76
30.6%
3 46
18.5%
2 45
18.1%
0 15
 
6.0%
5 14
 
5.6%
4 13
 
5.2%
9 12
 
4.8%
8 10
 
4.0%
7 9
 
3.6%
6 8
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 109
54.2%
. 82
40.8%
· 4
 
2.0%
; 3
 
1.5%
& 2
 
1.0%
/ 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
i 2
20.0%
c 2
20.0%
a 2
20.0%
m 2
20.0%
p 2
20.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14398
92.9%
Common 835
 
5.4%
Latin 265
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 667
 
4.6%
천 566
 
3.9%
울 526
 
3.7%
산 494
 
3.4%
원 459
 
3.2%
동 452
 
3.1%
청 358
 
2.5%
로 330
 
2.3%
시 328
 
2.3%
양 323
 
2.2%
Other values (322) 9895
68.7%
Common
ValueCountFrequency (%)
( 164
19.6%
) 163
19.5%
, 109
13.1%
. 82
9.8%
1 76
9.1%
3 46
 
5.5%
2 45
 
5.4%
42
 
5.0%
0 15
 
1.8%
5 14
 
1.7%
Other values (11) 79
9.5%
Latin
ValueCountFrequency (%)
C 112
42.3%
I 111
41.9%
K 9
 
3.4%
T 8
 
3.0%
S 6
 
2.3%
B 3
 
1.1%
i 2
 
0.8%
c 2
 
0.8%
a 2
 
0.8%
m 2
 
0.8%
Other values (7) 8
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14398
92.9%
ASCII 1096
 
7.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 667
 
4.6%
천 566
 
3.9%
울 526
 
3.7%
산 494
 
3.4%
원 459
 
3.2%
동 452
 
3.1%
청 358
 
2.5%
로 330
 
2.3%
시 328
 
2.3%
양 323
 
2.2%
Other values (322) 9895
68.7%
ASCII
ValueCountFrequency (%)
( 164
15.0%
) 163
14.9%
C 112
10.2%
I 111
10.1%
, 109
9.9%
. 82
7.5%
1 76
6.9%
3 46
 
4.2%
2 45
 
4.1%
42
 
3.8%
Other values (27) 146
13.3%
None
ValueCountFrequency (%)
· 4
100.0%

방향정보1근거리안내지명(1)
Text

MISSING 

Distinct2057
Distinct (%)35.6%
Missing4219
Missing (%)42.2%
Memory size156.2 KiB
2024-05-18T03:41:32.672866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length3.9929078
Min length1

Characters and Unicode

Total characters23083
Distinct characters461
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1165 ?
Unique (%)20.2%

Sample

1st row대신
2nd row수원
3rd row진입금지
4th row묵안리
5th row파주(조리)
ValueCountFrequency (%)
양평 68
 
1.2%
서울 68
 
1.2%
고양시청 49
 
0.8%
오산 43
 
0.7%
이천 43
 
0.7%
광주 39
 
0.7%
문산 35
 
0.6%
청평 34
 
0.6%
수원 32
 
0.5%
전곡 32
 
0.5%
Other values (2040) 5397
92.4%
2024-05-18T03:41:33.644997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 807
 
3.5%
시 597
 
2.6%
청 585
 
2.5%
산 560
 
2.4%
리 503
 
2.2%
원 473
 
2.0%
서 444
 
1.9%
양 442
 
1.9%
교 411
 
1.8%
천 407
 
1.8%
Other values (451) 17854
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21367
92.6%
Uppercase Letter 586
 
2.5%
Decimal Number 451
 
2.0%
Other Punctuation 337
 
1.5%
Open Punctuation 109
 
0.5%
Close Punctuation 106
 
0.5%
Space Separator 59
 
0.3%
Lowercase Letter 40
 
0.2%
Dash Punctuation 15
 
0.1%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 807
 
3.8%
시 597
 
2.8%
청 585
 
2.7%
산 560
 
2.6%
리 503
 
2.4%
원 473
 
2.2%
서 444
 
2.1%
양 442
 
2.1%
교 411
 
1.9%
천 407
 
1.9%
Other values (406) 16138
75.5%
Uppercase Letter
ValueCountFrequency (%)
C 273
46.6%
I 262
44.7%
T 8
 
1.4%
K 6
 
1.0%
L 5
 
0.9%
B 5
 
0.9%
A 5
 
0.9%
S 4
 
0.7%
D 4
 
0.7%
P 4
 
0.7%
Other values (7) 10
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 150
33.3%
2 123
27.3%
3 74
16.4%
4 26
 
5.8%
5 22
 
4.9%
0 19
 
4.2%
6 18
 
4.0%
9 10
 
2.2%
8 5
 
1.1%
7 4
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
i 13
32.5%
c 12
30.0%
l 3
 
7.5%
y 3
 
7.5%
s 3
 
7.5%
p 3
 
7.5%
a 3
 
7.5%
Other Punctuation
ValueCountFrequency (%)
, 161
47.8%
. 152
45.1%
· 22
 
6.5%
? 1
 
0.3%
/ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21367
92.6%
Common 1090
 
4.7%
Latin 626
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 807
 
3.8%
시 597
 
2.8%
청 585
 
2.7%
산 560
 
2.6%
리 503
 
2.4%
원 473
 
2.2%
서 444
 
2.1%
양 442
 
2.1%
교 411
 
1.9%
천 407
 
1.9%
Other values (406) 16138
75.5%
Latin
ValueCountFrequency (%)
C 273
43.6%
I 262
41.9%
i 13
 
2.1%
c 12
 
1.9%
T 8
 
1.3%
K 6
 
1.0%
L 5
 
0.8%
B 5
 
0.8%
A 5
 
0.8%
S 4
 
0.6%
Other values (14) 33
 
5.3%
Common
ValueCountFrequency (%)
, 161
14.8%
. 152
13.9%
1 150
13.8%
2 123
11.3%
( 109
10.0%
) 106
9.7%
3 74
6.8%
59
 
5.4%
4 26
 
2.4%
5 22
 
2.0%
Other values (11) 108
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21367
92.6%
ASCII 1694
 
7.3%
None 22
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 807
 
3.8%
시 597
 
2.8%
청 585
 
2.7%
산 560
 
2.6%
리 503
 
2.4%
원 473
 
2.2%
서 444
 
2.1%
양 442
 
2.1%
교 411
 
1.9%
천 407
 
1.9%
Other values (406) 16138
75.5%
ASCII
ValueCountFrequency (%)
C 273
16.1%
I 262
15.5%
, 161
9.5%
. 152
9.0%
1 150
8.9%
2 123
7.3%
( 109
 
6.4%
) 106
 
6.3%
3 74
 
4.4%
59
 
3.5%
Other values (34) 225
13.3%
None
ValueCountFrequency (%)
· 22
100.0%

방향정보1근거리안내지명(2)
Text

MISSING 

Distinct391
Distinct (%)65.5%
Missing9403
Missing (%)94.0%
Memory size156.2 KiB
2024-05-18T03:41:34.169568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.438861
Min length2

Characters and Unicode

Total characters2650
Distinct characters288
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)45.6%

Sample

1st row신갈
2nd row파주
3rd row화정동
4th row판교청소년수련관
5th row종합운동장
ValueCountFrequency (%)
화성서부경찰서 9
 
1.5%
안양 6
 
1.0%
법원검찰청 6
 
1.0%
조암 6
 
1.0%
시의회 6
 
1.0%
광적 5
 
0.8%
검찰청 5
 
0.8%
시민회관 5
 
0.8%
시외버스터미널 5
 
0.8%
인천 5
 
0.8%
Other values (385) 554
90.5%
2024-05-18T03:41:35.153019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 90
 
3.4%
서 68
 
2.6%
청 68
 
2.6%
동 62
 
2.3%
성 52
 
2.0%
리 51
 
1.9%
원 51
 
1.9%
교 50
 
1.9%
주 44
 
1.7%
찰 43
 
1.6%
Other values (278) 2071
78.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2428
91.6%
Uppercase Letter 76
 
2.9%
Other Punctuation 43
 
1.6%
Decimal Number 37
 
1.4%
Open Punctuation 23
 
0.9%
Close Punctuation 23
 
0.9%
Space Separator 15
 
0.6%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 90
 
3.7%
서 68
 
2.8%
청 68
 
2.8%
동 62
 
2.6%
성 52
 
2.1%
리 51
 
2.1%
원 51
 
2.1%
교 50
 
2.1%
주 44
 
1.8%
찰 43
 
1.8%
Other values (252) 1849
76.2%
Uppercase Letter
ValueCountFrequency (%)
C 26
34.2%
I 26
34.2%
T 7
 
9.2%
P 6
 
7.9%
A 6
 
7.9%
X 2
 
2.6%
K 1
 
1.3%
L 1
 
1.3%
S 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 11
29.7%
1 7
18.9%
3 7
18.9%
6 3
 
8.1%
0 3
 
8.1%
7 2
 
5.4%
4 2
 
5.4%
5 2
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 23
53.5%
. 18
41.9%
· 2
 
4.7%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2428
91.6%
Common 144
 
5.4%
Latin 78
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 90
 
3.7%
서 68
 
2.8%
청 68
 
2.8%
동 62
 
2.6%
성 52
 
2.1%
리 51
 
2.1%
원 51
 
2.1%
교 50
 
2.1%
주 44
 
1.8%
찰 43
 
1.8%
Other values (252) 1849
76.2%
Common
ValueCountFrequency (%)
, 23
16.0%
( 23
16.0%
) 23
16.0%
. 18
12.5%
15
10.4%
2 11
7.6%
1 7
 
4.9%
3 7
 
4.9%
6 3
 
2.1%
0 3
 
2.1%
Other values (6) 11
7.6%
Latin
ValueCountFrequency (%)
C 26
33.3%
I 26
33.3%
T 7
 
9.0%
P 6
 
7.7%
A 6
 
7.7%
X 2
 
2.6%
c 2
 
2.6%
K 1
 
1.3%
L 1
 
1.3%
S 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2428
91.6%
ASCII 220
 
8.3%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 90
 
3.7%
서 68
 
2.8%
청 68
 
2.8%
동 62
 
2.6%
성 52
 
2.1%
리 51
 
2.1%
원 51
 
2.1%
교 50
 
2.1%
주 44
 
1.8%
찰 43
 
1.8%
Other values (252) 1849
76.2%
ASCII
ValueCountFrequency (%)
C 26
11.8%
I 26
11.8%
, 23
10.5%
( 23
10.5%
) 23
10.5%
. 18
8.2%
15
 
6.8%
2 11
 
5.0%
1 7
 
3.2%
3 7
 
3.2%
Other values (15) 41
18.6%
None
ValueCountFrequency (%)
· 2
100.0%

방향정보2
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing4508
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean4.1868172
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:35.380592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum84
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.577384
Coefficient of variation (CV)3.2428891
Kurtosis28.996276
Mean4.1868172
Median Absolute Deviation (MAD)1
Skewness5.5572485
Sum22994
Variance184.34535
MonotonicityNot monotonic
2024-05-18T03:41:35.618286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 2272
22.7%
1 1980
19.8%
3 1079
 
10.8%
82 130
 
1.3%
84 18
 
0.2%
81 9
 
0.1%
83 4
 
< 0.1%
(Missing) 4508
45.1%
ValueCountFrequency (%)
1 1980
19.8%
2 2272
22.7%
3 1079
10.8%
81 9
 
0.1%
82 130
 
1.3%
83 4
 
< 0.1%
84 18
 
0.2%
ValueCountFrequency (%)
84 18
 
0.2%
83 4
 
< 0.1%
82 130
 
1.3%
81 9
 
0.1%
3 1079
10.8%
2 2272
22.7%
1 1980
19.8%

방향정보2OnTheWay도로종별
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7960 
NR
 
697
UR
 
670
RR
 
556
ER
 
80

Length

Max length4
Median length4
Mean length3.592
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7960
79.6%
NR 697
 
7.0%
UR 670
 
6.7%
RR 556
 
5.6%
ER 80
 
0.8%
GR 37
 
0.4%

Length

2024-05-18T03:41:36.118773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:36.469354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7960
79.6%
nr 697
 
7.0%
ur 670
 
6.7%
rr 556
 
5.6%
er 80
 
0.8%
gr 37
 
0.4%

방향정보2OnTheWay노선번호
Text

MISSING 

Distinct173
Distinct (%)10.6%
Missing8374
Missing (%)83.7%
Memory size156.2 KiB
2024-05-18T03:41:37.108056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.1740467
Min length1

Characters and Unicode

Total characters3535
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)3.1%

Sample

1st row17
2nd row367
3rd row38
4th row38
5th row1
ValueCountFrequency (%)
42 82
 
5.0%
37 78
 
4.8%
1 77
 
4.7%
39 75
 
4.6%
77 68
 
4.2%
38 61
 
3.7%
43 60
 
3.7%
45 44
 
2.7%
17 37
 
2.3%
100 35
 
2.1%
Other values (162) 1012
62.1%
2024-05-18T03:41:38.200377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 771
21.8%
7 489
13.8%
1 388
11.0%
4 383
10.8%
8 304
 
8.6%
2 291
 
8.2%
0 237
 
6.7%
5 215
 
6.1%
6 200
 
5.7%
9 191
 
5.4%
Other values (8) 66
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3469
98.1%
Other Letter 63
 
1.8%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 771
22.2%
7 489
14.1%
1 388
11.2%
4 383
11.0%
8 304
 
8.8%
2 291
 
8.4%
0 237
 
6.8%
5 215
 
6.2%
6 200
 
5.8%
9 191
 
5.5%
Other Letter
ValueCountFrequency (%)
시 57
90.5%
리 1
 
1.6%
도 1
 
1.6%
소 1
 
1.6%
로 1
 
1.6%
월 1
 
1.6%
일 1
 
1.6%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3472
98.2%
Hangul 63
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
3 771
22.2%
7 489
14.1%
1 388
11.2%
4 383
11.0%
8 304
 
8.8%
2 291
 
8.4%
0 237
 
6.8%
5 215
 
6.2%
6 200
 
5.8%
9 191
 
5.5%
Hangul
ValueCountFrequency (%)
시 57
90.5%
리 1
 
1.6%
도 1
 
1.6%
소 1
 
1.6%
로 1
 
1.6%
월 1
 
1.6%
일 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3472
98.2%
Hangul 63
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 771
22.2%
7 489
14.1%
1 388
11.2%
4 383
11.0%
8 304
 
8.8%
2 291
 
8.4%
0 237
 
6.8%
5 215
 
6.2%
6 200
 
5.8%
9 191
 
5.5%
Hangul
ValueCountFrequency (%)
시 57
90.5%
리 1
 
1.6%
도 1
 
1.6%
소 1
 
1.6%
로 1
 
1.6%
월 1
 
1.6%
일 1
 
1.6%

방향정보2OnTheWay도로명
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9929 
신흥로
 
8
중앙공원로
 
8
부일로
 
7
강변로
 
6
Other values (13)
 
42

Length

Max length10
Median length4
Mean length3.9978
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9929
99.3%
신흥로 8
 
0.1%
중앙공원로 8
 
0.1%
부일로 7
 
0.1%
강변로 6
 
0.1%
흥천길 5
 
0.1%
범박로 5
 
0.1%
석천로 5
 
0.1%
계남큰길 5
 
0.1%
수주로 4
 
< 0.1%
Other values (8) 18
 
0.2%

Length

2024-05-18T03:41:38.581044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9929
99.3%
중앙공원로 8
 
0.1%
신흥로 8
 
0.1%
부일로 7
 
0.1%
강변로 6
 
0.1%
흥천길 5
 
< 0.1%
범박로 5
 
< 0.1%
석천로 5
 
< 0.1%
계남큰길 5
 
< 0.1%
장말길 4
 
< 0.1%
Other values (8) 18
 
0.2%

방향정보2ToTheWay도로종별
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8286 
NR
 
584
UR
 
551
ER
 
322
RR
 
254

Length

Max length4
Median length4
Mean length3.6572
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8286
82.9%
NR 584
 
5.8%
UR 551
 
5.5%
ER 322
 
3.2%
RR 254
 
2.5%
GR 3
 
< 0.1%

Length

2024-05-18T03:41:38.936385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:39.213094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8286
82.9%
nr 584
 
5.8%
ur 551
 
5.5%
er 322
 
3.2%
rr 254
 
2.5%
gr 3
 
< 0.1%

방향정보2ToTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8779
Missing (%)87.8%
Memory size156.2 KiB

방향정보2ToTheWay도로명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9967 
경부선
 
7
장말길
 
4
영동선
 
4
서해안선
 
3
Other values (9)
 
15

Length

Max length10
Median length4
Mean length4.0015
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9967
99.7%
경부선 7
 
0.1%
장말길 4
 
< 0.1%
영동선 4
 
< 0.1%
서해안선 3
 
< 0.1%
서울외곽순환고속도로 3
 
< 0.1%
국도 2
 
< 0.1%
국도48호선 2
 
< 0.1%
경인고속도로 2
 
< 0.1%
평택-안성선 2
 
< 0.1%
Other values (4) 4
 
< 0.1%

Length

2024-05-18T03:41:39.531667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9967
99.7%
경부선 7
 
0.1%
장말길 4
 
< 0.1%
영동선 4
 
< 0.1%
서해안선 3
 
< 0.1%
서울외곽순환고속도로 3
 
< 0.1%
국도 2
 
< 0.1%
국도48호선 2
 
< 0.1%
경인고속도로 2
 
< 0.1%
평택-안성선 2
 
< 0.1%
Other values (4) 4
 
< 0.1%

방향정보2원거리안내지명
Text

MISSING 

Distinct1101
Distinct (%)29.6%
Missing6282
Missing (%)62.8%
Memory size156.2 KiB
2024-05-18T03:41:40.014673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length3.6019365
Min length1

Characters and Unicode

Total characters13392
Distinct characters390
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique628 ?
Unique (%)16.9%

Sample

1st row원주
2nd row청평
3rd row상지석
4th row풍산역
5th row파주
ValueCountFrequency (%)
서울 256
 
6.8%
수원 118
 
3.2%
용인 64
 
1.7%
인천 62
 
1.7%
고양시청 60
 
1.6%
여주 42
 
1.1%
안성 39
 
1.0%
양평 37
 
1.0%
의정부 36
 
1.0%
안산 35
 
0.9%
Other values (1085) 2997
80.0%
2024-05-18T03:41:41.038926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 474
 
3.5%
동 402
 
3.0%
산 385
 
2.9%
원 369
 
2.8%
울 363
 
2.7%
천 362
 
2.7%
청 315
 
2.4%
양 268
 
2.0%
주 267
 
2.0%
시 264
 
2.0%
Other values (380) 9923
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12398
92.6%
Uppercase Letter 254
 
1.9%
Decimal Number 205
 
1.5%
Other Punctuation 177
 
1.3%
Close Punctuation 151
 
1.1%
Open Punctuation 151
 
1.1%
Space Separator 28
 
0.2%
Lowercase Letter 15
 
0.1%
Dash Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 474
 
3.8%
동 402
 
3.2%
산 385
 
3.1%
원 369
 
3.0%
울 363
 
2.9%
천 362
 
2.9%
청 315
 
2.5%
양 268
 
2.2%
주 267
 
2.2%
시 264
 
2.1%
Other values (340) 8929
72.0%
Uppercase Letter
ValueCountFrequency (%)
C 114
44.9%
I 103
40.6%
K 8
 
3.1%
T 7
 
2.8%
S 7
 
2.8%
B 4
 
1.6%
E 2
 
0.8%
W 2
 
0.8%
X 2
 
0.8%
N 1
 
0.4%
Other values (4) 4
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 62
30.2%
2 50
24.4%
3 30
14.6%
4 12
 
5.9%
8 11
 
5.4%
7 10
 
4.9%
5 10
 
4.9%
9 8
 
3.9%
0 7
 
3.4%
6 5
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 88
49.7%
. 78
44.1%
· 7
 
4.0%
; 2
 
1.1%
/ 1
 
0.6%
& 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
c 7
46.7%
i 5
33.3%
p 1
 
6.7%
m 1
 
6.7%
a 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12398
92.6%
Common 725
 
5.4%
Latin 269
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 474
 
3.8%
동 402
 
3.2%
산 385
 
3.1%
원 369
 
3.0%
울 363
 
2.9%
천 362
 
2.9%
청 315
 
2.5%
양 268
 
2.2%
주 267
 
2.2%
시 264
 
2.1%
Other values (340) 8929
72.0%
Common
ValueCountFrequency (%)
) 151
20.8%
( 151
20.8%
, 88
12.1%
. 78
10.8%
1 62
8.6%
2 50
 
6.9%
3 30
 
4.1%
28
 
3.9%
4 12
 
1.7%
8 11
 
1.5%
Other values (11) 64
8.8%
Latin
ValueCountFrequency (%)
C 114
42.4%
I 103
38.3%
K 8
 
3.0%
T 7
 
2.6%
c 7
 
2.6%
S 7
 
2.6%
i 5
 
1.9%
B 4
 
1.5%
E 2
 
0.7%
W 2
 
0.7%
Other values (9) 10
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12398
92.6%
ASCII 987
 
7.4%
None 7
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 474
 
3.8%
동 402
 
3.2%
산 385
 
3.1%
원 369
 
3.0%
울 363
 
2.9%
천 362
 
2.9%
청 315
 
2.5%
양 268
 
2.2%
주 267
 
2.2%
시 264
 
2.1%
Other values (340) 8929
72.0%
ASCII
ValueCountFrequency (%)
) 151
15.3%
( 151
15.3%
C 114
11.6%
I 103
10.4%
, 88
8.9%
. 78
7.9%
1 62
6.3%
2 50
 
5.1%
3 30
 
3.0%
28
 
2.8%
Other values (29) 132
13.4%
None
ValueCountFrequency (%)
· 7
100.0%

방향정보2근거리안내지명(1)
Text

MISSING 

Distinct2146
Distinct (%)41.0%
Missing4768
Missing (%)47.7%
Memory size156.2 KiB
2024-05-18T03:41:41.659164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length4.2769495
Min length1

Characters and Unicode

Total characters22377
Distinct characters448
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1202 ?
Unique (%)23.0%

Sample

1st row간현
2nd row중앙공원
3rd row방일리
4th row북고양(설문)IC
5th row법원리
ValueCountFrequency (%)
양평 45
 
0.9%
서울 37
 
0.7%
고양시청 35
 
0.7%
시청 30
 
0.6%
평택 29
 
0.5%
용인 26
 
0.5%
수원 23
 
0.4%
문산 23
 
0.4%
구리 22
 
0.4%
광주 22
 
0.4%
Other values (2125) 4997
94.5%
2024-05-18T03:41:42.684526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 809
 
3.6%
리 540
 
2.4%
시 509
 
2.3%
청 478
 
2.1%
원 465
 
2.1%
교 429
 
1.9%
산 412
 
1.8%
양 384
 
1.7%
서 341
 
1.5%
지 337
 
1.5%
Other values (438) 17673
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20664
92.3%
Uppercase Letter 537
 
2.4%
Decimal Number 440
 
2.0%
Other Punctuation 331
 
1.5%
Open Punctuation 144
 
0.6%
Close Punctuation 143
 
0.6%
Space Separator 57
 
0.3%
Lowercase Letter 29
 
0.1%
Dash Punctuation 26
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 809
 
3.9%
리 540
 
2.6%
시 509
 
2.5%
청 478
 
2.3%
원 465
 
2.3%
교 429
 
2.1%
산 412
 
2.0%
양 384
 
1.9%
서 341
 
1.7%
지 337
 
1.6%
Other values (398) 15960
77.2%
Uppercase Letter
ValueCountFrequency (%)
C 254
47.3%
I 240
44.7%
T 12
 
2.2%
P 7
 
1.3%
A 7
 
1.3%
K 5
 
0.9%
X 3
 
0.6%
B 2
 
0.4%
R 1
 
0.2%
E 1
 
0.2%
Other values (5) 5
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 126
28.6%
1 123
28.0%
3 67
15.2%
4 40
 
9.1%
5 27
 
6.1%
6 18
 
4.1%
0 17
 
3.9%
8 11
 
2.5%
9 8
 
1.8%
7 3
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
c 9
31.0%
i 7
24.1%
a 4
13.8%
p 3
 
10.3%
t 3
 
10.3%
k 2
 
6.9%
m 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 158
47.7%
. 156
47.1%
· 17
 
5.1%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20664
92.3%
Common 1147
 
5.1%
Latin 566
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 809
 
3.9%
리 540
 
2.6%
시 509
 
2.5%
청 478
 
2.3%
원 465
 
2.3%
교 429
 
2.1%
산 412
 
2.0%
양 384
 
1.9%
서 341
 
1.7%
지 337
 
1.6%
Other values (398) 15960
77.2%
Latin
ValueCountFrequency (%)
C 254
44.9%
I 240
42.4%
T 12
 
2.1%
c 9
 
1.6%
P 7
 
1.2%
A 7
 
1.2%
i 7
 
1.2%
K 5
 
0.9%
a 4
 
0.7%
p 3
 
0.5%
Other values (12) 18
 
3.2%
Common
ValueCountFrequency (%)
, 158
13.8%
. 156
13.6%
( 144
12.6%
) 143
12.5%
2 126
11.0%
1 123
10.7%
3 67
5.8%
57
 
5.0%
4 40
 
3.5%
5 27
 
2.4%
Other values (8) 106
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20663
92.3%
ASCII 1696
 
7.6%
None 17
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 809
 
3.9%
리 540
 
2.6%
시 509
 
2.5%
청 478
 
2.3%
원 465
 
2.3%
교 429
 
2.1%
산 412
 
2.0%
양 384
 
1.9%
서 341
 
1.7%
지 337
 
1.6%
Other values (397) 15959
77.2%
ASCII
ValueCountFrequency (%)
C 254
15.0%
I 240
14.2%
, 158
9.3%
. 156
9.2%
( 144
8.5%
) 143
8.4%
2 126
7.4%
1 123
7.3%
3 67
 
4.0%
57
 
3.4%
Other values (29) 228
13.4%
None
ValueCountFrequency (%)
· 17
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%

방향정보2근거리안내지명(2)
Text

MISSING 

Distinct373
Distinct (%)71.6%
Missing9479
Missing (%)94.8%
Memory size156.2 KiB
2024-05-18T03:41:43.179494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length4.4184261
Min length1

Characters and Unicode

Total characters2302
Distinct characters273
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)55.5%

Sample

1st row법원, 검찰청
2nd row석탄이신의유적
3rd row진벌리
4th row남안성I.C
5th row성산대교
ValueCountFrequency (%)
시의회 12
 
2.2%
시청 7
 
1.3%
양평 6
 
1.1%
검찰청 6
 
1.1%
시흥시청 6
 
1.1%
구리시청 5
 
0.9%
화성서부경찰서 5
 
0.9%
송산 5
 
0.9%
마석 5
 
0.9%
안중 5
 
0.9%
Other values (363) 474
88.4%
2024-05-18T03:41:44.109546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 76
 
3.3%
청 67
 
2.9%
동 67
 
2.9%
교 56
 
2.4%
원 54
 
2.3%
서 49
 
2.1%
리 42
 
1.8%
경 41
 
1.8%
찰 38
 
1.7%
안 37
 
1.6%
Other values (263) 1775
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2106
91.5%
Uppercase Letter 82
 
3.6%
Other Punctuation 53
 
2.3%
Decimal Number 23
 
1.0%
Space Separator 15
 
0.7%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Lowercase Letter 5
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 76
 
3.6%
청 67
 
3.2%
동 67
 
3.2%
교 56
 
2.7%
원 54
 
2.6%
서 49
 
2.3%
리 42
 
2.0%
경 41
 
1.9%
찰 38
 
1.8%
안 37
 
1.8%
Other values (234) 1579
75.0%
Uppercase Letter
ValueCountFrequency (%)
C 23
28.0%
I 18
22.0%
T 12
14.6%
P 12
14.6%
A 11
13.4%
G 2
 
2.4%
S 1
 
1.2%
B 1
 
1.2%
N 1
 
1.2%
K 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 8
34.8%
2 8
34.8%
4 3
 
13.0%
3 1
 
4.3%
0 1
 
4.3%
5 1
 
4.3%
7 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
20.0%
i 1
20.0%
t 1
20.0%
p 1
20.0%
a 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 29
54.7%
, 22
41.5%
· 2
 
3.8%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2106
91.5%
Common 109
 
4.7%
Latin 87
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 76
 
3.6%
청 67
 
3.2%
동 67
 
3.2%
교 56
 
2.7%
원 54
 
2.6%
서 49
 
2.3%
리 42
 
2.0%
경 41
 
1.9%
찰 38
 
1.8%
안 37
 
1.8%
Other values (234) 1579
75.0%
Latin
ValueCountFrequency (%)
C 23
26.4%
I 18
20.7%
T 12
13.8%
P 12
13.8%
A 11
12.6%
G 2
 
2.3%
S 1
 
1.1%
B 1
 
1.1%
c 1
 
1.1%
i 1
 
1.1%
Other values (5) 5
 
5.7%
Common
ValueCountFrequency (%)
. 29
26.6%
, 22
20.2%
15
13.8%
( 8
 
7.3%
1 8
 
7.3%
2 8
 
7.3%
) 8
 
7.3%
4 3
 
2.8%
· 2
 
1.8%
~ 2
 
1.8%
Other values (4) 4
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2106
91.5%
ASCII 194
 
8.4%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 76
 
3.6%
청 67
 
3.2%
동 67
 
3.2%
교 56
 
2.7%
원 54
 
2.6%
서 49
 
2.3%
리 42
 
2.0%
경 41
 
1.9%
찰 38
 
1.8%
안 37
 
1.8%
Other values (234) 1579
75.0%
ASCII
ValueCountFrequency (%)
. 29
14.9%
C 23
11.9%
, 22
11.3%
I 18
9.3%
15
7.7%
T 12
 
6.2%
P 12
 
6.2%
A 11
 
5.7%
( 8
 
4.1%
1 8
 
4.1%
Other values (18) 36
18.6%
None
ValueCountFrequency (%)
· 2
100.0%

방향정보3
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.3%
Missing7275
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean3.4609174
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:44.461034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile3
Maximum84
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.6743429
Coefficient of variation (CV)2.7953117
Kurtosis62.957074
Mean3.4609174
Median Absolute Deviation (MAD)0
Skewness8.0451118
Sum9431
Variance93.59291
MonotonicityNot monotonic
2024-05-18T03:41:44.766841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1814
 
18.1%
3 814
 
8.1%
1 57
 
0.6%
82 24
 
0.2%
84 12
 
0.1%
83 2
 
< 0.1%
81 2
 
< 0.1%
(Missing) 7275
72.8%
ValueCountFrequency (%)
1 57
 
0.6%
2 1814
18.1%
3 814
8.1%
81 2
 
< 0.1%
82 24
 
0.2%
83 2
 
< 0.1%
84 12
 
0.1%
ValueCountFrequency (%)
84 12
 
0.1%
83 2
 
< 0.1%
82 24
 
0.2%
81 2
 
< 0.1%
3 814
8.1%
2 1814
18.1%
1 57
 
0.6%

방향정보3OnTheWay도로종별
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9019 
UR
 
533
RR
 
229
NR
 
191
ER
 
22

Length

Max length4
Median length4
Mean length3.8038
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9019
90.2%
UR 533
 
5.3%
RR 229
 
2.3%
NR 191
 
1.9%
ER 22
 
0.2%
GR 6
 
0.1%

Length

2024-05-18T03:41:45.170276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:45.484802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9019
90.2%
ur 533
 
5.3%
rr 229
 
2.3%
nr 191
 
1.9%
er 22
 
0.2%
gr 6
 
0.1%

방향정보3OnTheWay노선번호
Text

MISSING 

Distinct149
Distinct (%)22.0%
Missing9322
Missing (%)93.2%
Memory size156.2 KiB
2024-05-18T03:41:46.016417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.2050147
Min length1

Characters and Unicode

Total characters1495
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)8.0%

Sample

1st row3
2nd row3
3rd row39
4th row29
5th row356
ValueCountFrequency (%)
3 37
 
5.4%
39 33
 
4.9%
1 27
 
4.0%
37 24
 
3.5%
43 18
 
2.7%
356 16
 
2.4%
100 15
 
2.2%
56 15
 
2.2%
17 14
 
2.1%
82 14
 
2.1%
Other values (140) 466
68.6%
2024-05-18T03:41:47.076705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 328
21.9%
1 178
11.9%
7 149
10.0%
2 148
9.9%
4 131
 
8.8%
0 117
 
7.8%
8 111
 
7.4%
9 102
 
6.8%
5 96
 
6.4%
6 85
 
5.7%
Other values (6) 50
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1445
96.7%
Other Letter 49
 
3.3%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 328
22.7%
1 178
12.3%
7 149
10.3%
2 148
10.2%
4 131
 
9.1%
0 117
 
8.1%
8 111
 
7.7%
9 102
 
7.1%
5 96
 
6.6%
6 85
 
5.9%
Other Letter
ValueCountFrequency (%)
시 45
91.8%
대 1
 
2.0%
로 1
 
2.0%
월 1
 
2.0%
일 1
 
2.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1446
96.7%
Hangul 49
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
3 328
22.7%
1 178
12.3%
7 149
10.3%
2 148
10.2%
4 131
 
9.1%
0 117
 
8.1%
8 111
 
7.7%
9 102
 
7.1%
5 96
 
6.6%
6 85
 
5.9%
Hangul
ValueCountFrequency (%)
시 45
91.8%
대 1
 
2.0%
로 1
 
2.0%
월 1
 
2.0%
일 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1446
96.7%
Hangul 49
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 328
22.7%
1 178
12.3%
7 149
10.3%
2 148
10.2%
4 131
 
9.1%
0 117
 
8.1%
8 111
 
7.7%
9 102
 
7.1%
5 96
 
6.6%
6 85
 
5.9%
Hangul
ValueCountFrequency (%)
시 45
91.8%
대 1
 
2.0%
로 1
 
2.0%
월 1
 
2.0%
일 1
 
2.0%

방향정보3OnTheWay도로명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9953 
신흥로
 
7
중앙공원로
 
6
계남큰길
 
6
석천로
 
5
Other values (10)
 
23

Length

Max length10
Median length4
Mean length3.9978
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9953
99.5%
신흥로 7
 
0.1%
중앙공원로 6
 
0.1%
계남큰길 6
 
0.1%
석천로 5
 
0.1%
장말길 4
 
< 0.1%
범박로 4
 
< 0.1%
흥천길 4
 
< 0.1%
수주로 2
 
< 0.1%
부일로 2
 
< 0.1%
Other values (5) 7
 
0.1%

Length

2024-05-18T03:41:47.437876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9953
99.5%
신흥로 7
 
0.1%
중앙공원로 6
 
0.1%
계남큰길 6
 
0.1%
석천로 5
 
< 0.1%
장말길 4
 
< 0.1%
범박로 4
 
< 0.1%
흥천길 4
 
< 0.1%
수주로 2
 
< 0.1%
부일로 2
 
< 0.1%
Other values (5) 7
 
0.1%

방향정보3ToTheWay도로종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9203 
UR
 
383
NR
 
197
ER
 
120
RR
 
97

Length

Max length4
Median length4
Mean length3.8406
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9203
92.0%
UR 383
 
3.8%
NR 197
 
2.0%
ER 120
 
1.2%
RR 97
 
1.0%

Length

2024-05-18T03:41:47.823969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:48.120785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9203
92.0%
ur 383
 
3.8%
nr 197
 
2.0%
er 120
 
1.2%
rr 97
 
1.0%

방향정보3ToTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9546
Missing (%)95.5%
Memory size156.2 KiB

방향정보3ToTheWay도로명
Text

MISSING 

Distinct6
Distinct (%)66.7%
Missing9991
Missing (%)99.9%
Memory size156.2 KiB
2024-05-18T03:41:48.420183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length4.3333333
Min length3

Characters and Unicode

Total characters39
Distinct characters19
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

Unique4 ?
Unique (%)44.4%

Sample

1st row국도48호선
2nd row장말길
3rd row경부선
4th row경부선
5th row국도39호선
ValueCountFrequency (%)
경부선 3
33.3%
국도48호선 2
22.2%
장말길 1
 
11.1%
국도39호선 1
 
11.1%
평화로 1
 
11.1%
경인고속도로 1
 
11.1%
2024-05-18T03:41:49.195494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 6
15.4%
경 4
10.3%
도 4
10.3%
국 3
 
7.7%
호 3
 
7.7%
부 3
 
7.7%
4 2
 
5.1%
8 2
 
5.1%
로 2
 
5.1%
평 1
 
2.6%
Other values (9) 9
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
84.6%
Decimal Number 6
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 6
18.2%
경 4
12.1%
도 4
12.1%
국 3
9.1%
호 3
9.1%
부 3
9.1%
로 2
 
6.1%
평 1
 
3.0%
고 1
 
3.0%
인 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
8 2
33.3%
9 1
16.7%
3 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
84.6%
Common 6
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 6
18.2%
경 4
12.1%
도 4
12.1%
국 3
9.1%
호 3
9.1%
부 3
9.1%
로 2
 
6.1%
평 1
 
3.0%
고 1
 
3.0%
인 1
 
3.0%
Other values (5) 5
15.2%
Common
ValueCountFrequency (%)
4 2
33.3%
8 2
33.3%
9 1
16.7%
3 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
84.6%
ASCII 6
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 6
18.2%
경 4
12.1%
도 4
12.1%
국 3
9.1%
호 3
9.1%
부 3
9.1%
로 2
 
6.1%
평 1
 
3.0%
고 1
 
3.0%
인 1
 
3.0%
Other values (5) 5
15.2%
ASCII
ValueCountFrequency (%)
4 2
33.3%
8 2
33.3%
9 1
16.7%
3 1
16.7%

방향정보3원거리안내지명
Text

MISSING 

Distinct750
Distinct (%)40.0%
Missing8127
Missing (%)81.3%
Memory size156.2 KiB
2024-05-18T03:41:49.703524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length3.9620929
Min length1

Characters and Unicode

Total characters7421
Distinct characters328
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)23.9%

Sample

1st row인천
2nd row고봉로
3rd row동산마을
4th row경춘로
5th row용인
ValueCountFrequency (%)
서울 93
 
4.9%
수원 37
 
2.0%
고양시청 33
 
1.7%
일산동구청 33
 
1.7%
용인 28
 
1.5%
안산 27
 
1.4%
일산서구청 25
 
1.3%
김포 22
 
1.2%
안양 21
 
1.1%
인천 20
 
1.1%
Other values (740) 1547
82.0%
2024-05-18T03:41:50.886912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 241
 
3.2%
동 241
 
3.2%
서 231
 
3.1%
로 218
 
2.9%
청 210
 
2.8%
시 175
 
2.4%
원 174
 
2.3%
울 162
 
2.2%
천 149
 
2.0%
구 142
 
1.9%
Other values (318) 5478
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6830
92.0%
Decimal Number 162
 
2.2%
Uppercase Letter 126
 
1.7%
Other Punctuation 100
 
1.3%
Open Punctuation 87
 
1.2%
Close Punctuation 87
 
1.2%
Space Separator 13
 
0.2%
Dash Punctuation 9
 
0.1%
Lowercase Letter 4
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 241
 
3.5%
동 241
 
3.5%
서 231
 
3.4%
로 218
 
3.2%
청 210
 
3.1%
시 175
 
2.6%
원 174
 
2.5%
울 162
 
2.4%
천 149
 
2.2%
구 142
 
2.1%
Other values (290) 4887
71.6%
Decimal Number
ValueCountFrequency (%)
1 41
25.3%
3 39
24.1%
2 25
15.4%
9 11
 
6.8%
7 11
 
6.8%
4 11
 
6.8%
5 8
 
4.9%
0 7
 
4.3%
6 5
 
3.1%
8 4
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
C 56
44.4%
I 52
41.3%
K 6
 
4.8%
T 5
 
4.0%
X 3
 
2.4%
S 2
 
1.6%
M 1
 
0.8%
B 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 48
48.0%
. 47
47.0%
· 5
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
i 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6830
92.0%
Common 461
 
6.2%
Latin 130
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 241
 
3.5%
동 241
 
3.5%
서 231
 
3.4%
로 218
 
3.2%
청 210
 
3.1%
시 175
 
2.6%
원 174
 
2.5%
울 162
 
2.4%
천 149
 
2.2%
구 142
 
2.1%
Other values (290) 4887
71.6%
Common
ValueCountFrequency (%)
( 87
18.9%
) 87
18.9%
, 48
10.4%
. 47
10.2%
1 41
8.9%
3 39
8.5%
2 25
 
5.4%
13
 
2.8%
9 11
 
2.4%
7 11
 
2.4%
Other values (8) 52
11.3%
Latin
ValueCountFrequency (%)
C 56
43.1%
I 52
40.0%
K 6
 
4.6%
T 5
 
3.8%
X 3
 
2.3%
S 2
 
1.5%
c 2
 
1.5%
i 2
 
1.5%
M 1
 
0.8%
B 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6830
92.0%
ASCII 586
 
7.9%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 241
 
3.5%
동 241
 
3.5%
서 231
 
3.4%
로 218
 
3.2%
청 210
 
3.1%
시 175
 
2.6%
원 174
 
2.5%
울 162
 
2.4%
천 149
 
2.2%
구 142
 
2.1%
Other values (290) 4887
71.6%
ASCII
ValueCountFrequency (%)
( 87
14.8%
) 87
14.8%
C 56
9.6%
I 52
8.9%
, 48
8.2%
. 47
8.0%
1 41
7.0%
3 39
6.7%
2 25
 
4.3%
13
 
2.2%
Other values (17) 91
15.5%
None
ValueCountFrequency (%)
· 5
100.0%

방향정보3근거리안내지명(1)
Text

MISSING 

Distinct1350
Distinct (%)52.2%
Missing7415
Missing (%)74.2%
Memory size156.2 KiB
2024-05-18T03:41:51.552252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length4.6185687
Min length1

Characters and Unicode

Total characters11939
Distinct characters409
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique816 ?
Unique (%)31.6%

Sample

1st row지곡리
2nd row고양(일산)
3rd row구리
4th row삼송마을19.20단지
5th row판교중학교
ValueCountFrequency (%)
부천체육관 23
 
0.9%
서울 22
 
0.8%
시청 16
 
0.6%
시청시의회 14
 
0.5%
고양시청 14
 
0.5%
호수공원 13
 
0.5%
분당-수서간도로 10
 
0.4%
종합운동장 9
 
0.3%
시의회 9
 
0.3%
광명역(고속철도 9
 
0.3%
Other values (1344) 2486
94.7%
2024-05-18T03:41:52.676839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 500
 
4.2%
교 272
 
2.3%
원 258
 
2.2%
시 252
 
2.1%
청 231
 
1.9%
역 229
 
1.9%
산 216
 
1.8%
정 214
 
1.8%
리 210
 
1.8%
지 189
 
1.6%
Other values (399) 9368
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11007
92.2%
Decimal Number 302
 
2.5%
Uppercase Letter 259
 
2.2%
Other Punctuation 155
 
1.3%
Close Punctuation 70
 
0.6%
Open Punctuation 70
 
0.6%
Space Separator 40
 
0.3%
Dash Punctuation 18
 
0.2%
Math Symbol 14
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 500
 
4.5%
교 272
 
2.5%
원 258
 
2.3%
시 252
 
2.3%
청 231
 
2.1%
역 229
 
2.1%
산 216
 
2.0%
정 214
 
1.9%
리 210
 
1.9%
지 189
 
1.7%
Other values (363) 8436
76.6%
Uppercase Letter
ValueCountFrequency (%)
C 118
45.6%
I 112
43.2%
K 5
 
1.9%
T 5
 
1.9%
P 3
 
1.2%
A 3
 
1.2%
S 3
 
1.2%
N 2
 
0.8%
L 1
 
0.4%
D 1
 
0.4%
Other values (6) 6
 
2.3%
Decimal Number
ValueCountFrequency (%)
2 93
30.8%
1 89
29.5%
3 57
18.9%
4 20
 
6.6%
5 14
 
4.6%
0 12
 
4.0%
6 8
 
2.6%
9 6
 
2.0%
7 2
 
0.7%
8 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 81
52.3%
, 68
43.9%
· 6
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
c 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11007
92.2%
Common 669
 
5.6%
Latin 263
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 500
 
4.5%
교 272
 
2.5%
원 258
 
2.3%
시 252
 
2.3%
청 231
 
2.1%
역 229
 
2.1%
산 216
 
2.0%
정 214
 
1.9%
리 210
 
1.9%
지 189
 
1.7%
Other values (363) 8436
76.6%
Latin
ValueCountFrequency (%)
C 118
44.9%
I 112
42.6%
K 5
 
1.9%
T 5
 
1.9%
P 3
 
1.1%
A 3
 
1.1%
S 3
 
1.1%
i 2
 
0.8%
c 2
 
0.8%
N 2
 
0.8%
Other values (8) 8
 
3.0%
Common
ValueCountFrequency (%)
2 93
13.9%
1 89
13.3%
. 81
12.1%
) 70
10.5%
( 70
10.5%
, 68
10.2%
3 57
8.5%
40
6.0%
4 20
 
3.0%
- 18
 
2.7%
Other values (8) 63
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11006
92.2%
ASCII 926
 
7.8%
None 6
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 500
 
4.5%
교 272
 
2.5%
원 258
 
2.3%
시 252
 
2.3%
청 231
 
2.1%
역 229
 
2.1%
산 216
 
2.0%
정 214
 
1.9%
리 210
 
1.9%
지 189
 
1.7%
Other values (362) 8435
76.6%
ASCII
ValueCountFrequency (%)
C 118
12.7%
I 112
12.1%
2 93
10.0%
1 89
9.6%
. 81
8.7%
) 70
7.6%
( 70
7.6%
, 68
7.3%
3 57
6.2%
40
 
4.3%
Other values (25) 128
13.8%
None
ValueCountFrequency (%)
· 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

방향정보3근거리안내지명(2)
Text

MISSING 

Distinct189
Distinct (%)81.8%
Missing9769
Missing (%)97.7%
Memory size156.2 KiB
2024-05-18T03:41:53.153767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.1601732
Min length2

Characters and Unicode

Total characters1192
Distinct characters226
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)68.4%

Sample

1st row중소기업연수원
2nd row안성맞춤랜드
3rd row광명테크노파크
4th row시청, 평촌도서관
5th row용인세무서
ValueCountFrequency (%)
시의회 9
 
3.8%
시청 8
 
3.3%
광명역(고속철도 4
 
1.7%
호계도서관 3
 
1.3%
금곡 3
 
1.3%
남면 3
 
1.3%
평택호관광단지 2
 
0.8%
부천중부경찰서 2
 
0.8%
교문사거리 2
 
0.8%
판교 2
 
0.8%
Other values (180) 201
84.1%
2024-05-18T03:41:54.221551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 42
 
3.5%
시 40
 
3.4%
원 33
 
2.8%
청 29
 
2.4%
동 26
 
2.2%
서 25
 
2.1%
, 23
 
1.9%
도 20
 
1.7%
학 19
 
1.6%
대 19
 
1.6%
Other values (216) 916
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1080
90.6%
Other Punctuation 31
 
2.6%
Uppercase Letter 28
 
2.3%
Decimal Number 24
 
2.0%
Close Punctuation 8
 
0.7%
Space Separator 8
 
0.7%
Open Punctuation 8
 
0.7%
Math Symbol 2
 
0.2%
Lowercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 42
 
3.9%
시 40
 
3.7%
원 33
 
3.1%
청 29
 
2.7%
동 26
 
2.4%
서 25
 
2.3%
도 20
 
1.9%
학 19
 
1.8%
대 19
 
1.8%
회 19
 
1.8%
Other values (193) 808
74.8%
Decimal Number
ValueCountFrequency (%)
1 6
25.0%
2 5
20.8%
4 4
16.7%
3 3
12.5%
5 2
 
8.3%
7 2
 
8.3%
6 1
 
4.2%
8 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 9
32.1%
I 8
28.6%
A 4
14.3%
T 3
 
10.7%
P 3
 
10.7%
B 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 23
74.2%
. 8
 
25.8%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1080
90.6%
Common 82
 
6.9%
Latin 30
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 42
 
3.9%
시 40
 
3.7%
원 33
 
3.1%
청 29
 
2.7%
동 26
 
2.4%
서 25
 
2.3%
도 20
 
1.9%
학 19
 
1.8%
대 19
 
1.8%
회 19
 
1.8%
Other values (193) 808
74.8%
Common
ValueCountFrequency (%)
, 23
28.0%
. 8
 
9.8%
) 8
 
9.8%
8
 
9.8%
( 8
 
9.8%
1 6
 
7.3%
2 5
 
6.1%
4 4
 
4.9%
3 3
 
3.7%
5 2
 
2.4%
Other values (5) 7
 
8.5%
Latin
ValueCountFrequency (%)
C 9
30.0%
I 8
26.7%
A 4
13.3%
T 3
 
10.0%
P 3
 
10.0%
c 1
 
3.3%
i 1
 
3.3%
B 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1080
90.6%
ASCII 112
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 42
 
3.9%
시 40
 
3.7%
원 33
 
3.1%
청 29
 
2.7%
동 26
 
2.4%
서 25
 
2.3%
도 20
 
1.9%
학 19
 
1.8%
대 19
 
1.8%
회 19
 
1.8%
Other values (193) 808
74.8%
ASCII
ValueCountFrequency (%)
, 23
20.5%
C 9
 
8.0%
. 8
 
7.1%
I 8
 
7.1%
) 8
 
7.1%
8
 
7.1%
( 8
 
7.1%
1 6
 
5.4%
2 5
 
4.5%
4 4
 
3.6%
Other values (13) 25
22.3%

방향정보4
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)7.9%
Missing9924
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean7.5131579
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:54.663619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile81.25
Maximum84
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation20.070206
Coefficient of variation (CV)2.6713409
Kurtosis11.051615
Mean7.5131579
Median Absolute Deviation (MAD)0
Skewness3.5695079
Sum571
Variance402.81316
MonotonicityNot monotonic
2024-05-18T03:41:55.000365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 39
 
0.4%
3 24
 
0.2%
1 8
 
0.1%
82 2
 
< 0.1%
84 2
 
< 0.1%
81 1
 
< 0.1%
(Missing) 9924
99.2%
ValueCountFrequency (%)
1 8
 
0.1%
2 39
0.4%
3 24
0.2%
81 1
 
< 0.1%
82 2
 
< 0.1%
84 2
 
< 0.1%
ValueCountFrequency (%)
84 2
 
< 0.1%
82 2
 
< 0.1%
81 1
 
< 0.1%
3 24
0.2%
2 39
0.4%
1 8
 
0.1%

방향정보4OnTheWay도로종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9975 
RR
 
11
UR
 
9
NR
 
4
ER
 
1

Length

Max length4
Median length4
Mean length3.995
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9975
99.8%
RR 11
 
0.1%
UR 9
 
0.1%
NR 4
 
< 0.1%
ER 1
 
< 0.1%

Length

2024-05-18T03:41:55.391434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:55.705636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9975
99.8%
rr 11
 
0.1%
ur 9
 
0.1%
nr 4
 
< 0.1%
er 1
 
< 0.1%

방향정보4OnTheWay노선번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)78.3%
Missing9977
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean141.47826
Minimum3
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:41:55.984111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7.2
Q130.5
median57
Q3314.5
95-th percentile388.8
Maximum424
Range421
Interquartile range (IQR)284

Descriptive statistics

Standard deviation157.08506
Coefficient of variation (CV)1.1103123
Kurtosis-1.1127833
Mean141.47826
Median Absolute Deviation (MAD)48
Skewness0.87896539
Sum3254
Variance24675.715
MonotonicityNot monotonic
2024-05-18T03:41:56.454912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9 3
 
< 0.1%
39 2
 
< 0.1%
84 2
 
< 0.1%
375 2
 
< 0.1%
43 1
 
< 0.1%
312 1
 
< 0.1%
3 1
 
< 0.1%
317 1
 
< 0.1%
389 1
 
< 0.1%
7 1
 
< 0.1%
Other values (8) 8
 
0.1%
(Missing) 9977
99.8%
ValueCountFrequency (%)
3 1
 
< 0.1%
7 1
 
< 0.1%
9 3
< 0.1%
23 1
 
< 0.1%
38 1
 
< 0.1%
39 2
< 0.1%
43 1
 
< 0.1%
56 1
 
< 0.1%
57 1
 
< 0.1%
75 1
 
< 0.1%
ValueCountFrequency (%)
424 1
< 0.1%
389 1
< 0.1%
387 1
< 0.1%
375 2
< 0.1%
317 1
< 0.1%
312 1
< 0.1%
100 1
< 0.1%
84 2
< 0.1%
75 1
< 0.1%
57 1
< 0.1%

방향정보4OnTheWay도로명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-18T03:41:56.848833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row서울외곽순환고속도로
ValueCountFrequency (%)
서울외곽순환고속도로 1
100.0%
2024-05-18T03:41:57.664048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 1
10.0%
울 1
10.0%
외 1
10.0%
곽 1
10.0%
순 1
10.0%
환 1
10.0%
고 1
10.0%
속 1
10.0%
도 1
10.0%
로 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1
10.0%
울 1
10.0%
외 1
10.0%
곽 1
10.0%
순 1
10.0%
환 1
10.0%
고 1
10.0%
속 1
10.0%
도 1
10.0%
로 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1
10.0%
울 1
10.0%
외 1
10.0%
곽 1
10.0%
순 1
10.0%
환 1
10.0%
고 1
10.0%
속 1
10.0%
도 1
10.0%
로 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 1
10.0%
울 1
10.0%
외 1
10.0%
곽 1
10.0%
순 1
10.0%
환 1
10.0%
고 1
10.0%
속 1
10.0%
도 1
10.0%
로 1
10.0%

방향정보4ToTheWay도로종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9969 
NR
 
14
UR
 
7
ER
 
6
RR
 
4

Length

Max length4
Median length4
Mean length3.9938
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9969
99.7%
NR 14
 
0.1%
UR 7
 
0.1%
ER 6
 
0.1%
RR 4
 
< 0.1%

Length

2024-05-18T03:41:58.173409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:41:58.530859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9969
99.7%
nr 14
 
0.1%
ur 7
 
0.1%
er 6
 
0.1%
rr 4
 
< 0.1%

방향정보4ToTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9973
Missing (%)99.7%
Memory size156.2 KiB

방향정보4ToTheWay도로명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-18T03:41:58.802888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Characters and Unicode

Total characters16
Distinct characters10
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

Unique1 ?
Unique (%)33.3%

Sample

1st row국도48호선
2nd row국도48호선
3rd row계남대로
ValueCountFrequency (%)
국도48호선 2
66.7%
계남대로 1
33.3%
2024-05-18T03:41:59.564322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 2
12.5%
도 2
12.5%
4 2
12.5%
8 2
12.5%
호 2
12.5%
선 2
12.5%
계 1
6.2%
남 1
6.2%
대 1
6.2%
로 1
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
75.0%
Decimal Number 4
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 2
16.7%
도 2
16.7%
호 2
16.7%
선 2
16.7%
계 1
8.3%
남 1
8.3%
대 1
8.3%
로 1
8.3%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
8 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
75.0%
Common 4
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 2
16.7%
도 2
16.7%
호 2
16.7%
선 2
16.7%
계 1
8.3%
남 1
8.3%
대 1
8.3%
로 1
8.3%
Common
ValueCountFrequency (%)
4 2
50.0%
8 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
75.0%
ASCII 4
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 2
16.7%
도 2
16.7%
호 2
16.7%
선 2
16.7%
계 1
8.3%
남 1
8.3%
대 1
8.3%
로 1
8.3%
ASCII
ValueCountFrequency (%)
4 2
50.0%
8 2
50.0%

방향정보4원거리안내지명
Text

MISSING 

Distinct35
Distinct (%)94.6%
Missing9963
Missing (%)99.6%
Memory size156.2 KiB
2024-05-18T03:42:00.019792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length3.7027027
Min length2

Characters and Unicode

Total characters137
Distinct characters86
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

Unique33 ?
Unique (%)89.2%

Sample

1st row김포대학
2nd rowCamp Humphreys
3rd row남양주
4th row발안
5th row판교
ValueCountFrequency (%)
과천 2
 
5.3%
김포공항 2
 
5.3%
의정부세무서 1
 
2.6%
수원 1
 
2.6%
청계 1
 
2.6%
서울외곽순환고속도로 1
 
2.6%
군포 1
 
2.6%
천안 1
 
2.6%
구운로85번길 1
 
2.6%
장호원 1
 
2.6%
Other values (26) 26
68.4%
2024-05-18T03:42:01.039006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
포 6
 
4.4%
대 5
 
3.6%
서 5
 
3.6%
교 4
 
2.9%
김 4
 
2.9%
천 4
 
2.9%
안 4
 
2.9%
공 3
 
2.2%
청 3
 
2.2%
시 3
 
2.2%
Other values (76) 96
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
88.3%
Lowercase Letter 11
 
8.0%
Decimal Number 2
 
1.5%
Uppercase Letter 2
 
1.5%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 6
 
5.0%
대 5
 
4.1%
서 5
 
4.1%
교 4
 
3.3%
김 4
 
3.3%
천 4
 
3.3%
안 4
 
3.3%
공 3
 
2.5%
청 3
 
2.5%
시 3
 
2.5%
Other values (62) 80
66.1%
Lowercase Letter
ValueCountFrequency (%)
p 2
18.2%
m 2
18.2%
u 1
9.1%
a 1
9.1%
h 1
9.1%
r 1
9.1%
e 1
9.1%
y 1
9.1%
s 1
9.1%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
5 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121
88.3%
Latin 13
 
9.5%
Common 3
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 6
 
5.0%
대 5
 
4.1%
서 5
 
4.1%
교 4
 
3.3%
김 4
 
3.3%
천 4
 
3.3%
안 4
 
3.3%
공 3
 
2.5%
청 3
 
2.5%
시 3
 
2.5%
Other values (62) 80
66.1%
Latin
ValueCountFrequency (%)
p 2
15.4%
m 2
15.4%
u 1
7.7%
C 1
7.7%
a 1
7.7%
H 1
7.7%
h 1
7.7%
r 1
7.7%
e 1
7.7%
y 1
7.7%
Common
ValueCountFrequency (%)
8 1
33.3%
5 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
88.3%
ASCII 16
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
포 6
 
5.0%
대 5
 
4.1%
서 5
 
4.1%
교 4
 
3.3%
김 4
 
3.3%
천 4
 
3.3%
안 4
 
3.3%
공 3
 
2.5%
청 3
 
2.5%
시 3
 
2.5%
Other values (62) 80
66.1%
ASCII
ValueCountFrequency (%)
p 2
12.5%
m 2
12.5%
8 1
 
6.2%
5 1
 
6.2%
u 1
 
6.2%
C 1
 
6.2%
a 1
 
6.2%
1
 
6.2%
H 1
 
6.2%
h 1
 
6.2%
Other values (4) 4
25.0%

방향정보4근거리안내지명(1)
Text

MISSING 

Distinct67
Distinct (%)85.9%
Missing9922
Missing (%)99.2%
Memory size156.2 KiB
2024-05-18T03:42:01.676253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length4.5384615
Min length2

Characters and Unicode

Total characters354
Distinct characters136
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)71.8%

Sample

1st row안양대학교
2nd rowCPX Gate
3rd row수지초교
4th row경기도제2청사
5th row봉담
ValueCountFrequency (%)
광주 2
 
2.3%
도청.도의회 2
 
2.3%
파주 2
 
2.3%
gate 2
 
2.3%
cpx 2
 
2.3%
안양시청 2
 
2.3%
판교 2
 
2.3%
월암 2
 
2.3%
정남 2
 
2.3%
금정초등학교 2
 
2.3%
Other values (64) 68
77.3%
2024-05-18T03:42:02.721186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 11
 
3.1%
시 11
 
3.1%
10
 
2.8%
도 8
 
2.3%
. 8
 
2.3%
동 8
 
2.3%
교 8
 
2.3%
정 6
 
1.7%
주 6
 
1.7%
C 6
 
1.7%
Other values (126) 272
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
79.7%
Uppercase Letter 20
 
5.6%
Lowercase Letter 19
 
5.4%
Other Punctuation 12
 
3.4%
Space Separator 10
 
2.8%
Decimal Number 8
 
2.3%
Open Punctuation 2
 
0.6%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 11
 
3.9%
시 11
 
3.9%
도 8
 
2.8%
동 8
 
2.8%
교 8
 
2.8%
정 6
 
2.1%
주 6
 
2.1%
서 6
 
2.1%
안 6
 
2.1%
남 6
 
2.1%
Other values (98) 206
73.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
15.8%
a 3
15.8%
p 2
10.5%
t 2
10.5%
m 2
10.5%
y 1
 
5.3%
i 1
 
5.3%
c 1
 
5.3%
s 1
 
5.3%
u 1
 
5.3%
Other values (2) 2
10.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
30.0%
G 4
20.0%
I 3
15.0%
P 2
 
10.0%
X 2
 
10.0%
S 2
 
10.0%
H 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 8
66.7%
, 3
 
25.0%
? 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 2
 
25.0%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
79.7%
Latin 39
 
11.0%
Common 33
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 11
 
3.9%
시 11
 
3.9%
도 8
 
2.8%
동 8
 
2.8%
교 8
 
2.8%
정 6
 
2.1%
주 6
 
2.1%
서 6
 
2.1%
안 6
 
2.1%
남 6
 
2.1%
Other values (98) 206
73.0%
Latin
ValueCountFrequency (%)
C 6
15.4%
G 4
 
10.3%
I 3
 
7.7%
e 3
 
7.7%
a 3
 
7.7%
P 2
 
5.1%
X 2
 
5.1%
S 2
 
5.1%
p 2
 
5.1%
t 2
 
5.1%
Other values (9) 10
25.6%
Common
ValueCountFrequency (%)
10
30.3%
. 8
24.2%
2 5
15.2%
, 3
 
9.1%
( 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
) 1
 
3.0%
? 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
79.7%
ASCII 72
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 11
 
3.9%
시 11
 
3.9%
도 8
 
2.8%
동 8
 
2.8%
교 8
 
2.8%
정 6
 
2.1%
주 6
 
2.1%
서 6
 
2.1%
안 6
 
2.1%
남 6
 
2.1%
Other values (98) 206
73.0%
ASCII
ValueCountFrequency (%)
10
 
13.9%
. 8
 
11.1%
C 6
 
8.3%
2 5
 
6.9%
G 4
 
5.6%
I 3
 
4.2%
, 3
 
4.2%
e 3
 
4.2%
a 3
 
4.2%
P 2
 
2.8%
Other values (18) 25
34.7%

방향정보4근거리안내지명(2)
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing9994
Missing (%)99.9%
Memory size156.2 KiB
2024-05-18T03:42:03.136392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length4
Min length2

Characters and Unicode

Total characters24
Distinct characters21
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

Unique6 ?
Unique (%)100.0%

Sample

1st row은현
2nd row오포
3rd row광명
4th row법원검찰청
5th row서해안고속도로
ValueCountFrequency (%)
은현 1
14.3%
오포 1
14.3%
광명 1
14.3%
법원검찰청 1
14.3%
서해안고속도로 1
14.3%
법인 1
14.3%
경찰청 1
14.3%
2024-05-18T03:42:03.968434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 2
 
8.3%
법 2
 
8.3%
찰 2
 
8.3%
해 1
 
4.2%
1
 
4.2%
인 1
 
4.2%
로 1
 
4.2%
도 1
 
4.2%
속 1
 
4.2%
고 1
 
4.2%
Other values (11) 11
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
95.8%
Space Separator 1
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 2
 
8.7%
법 2
 
8.7%
찰 2
 
8.7%
해 1
 
4.3%
인 1
 
4.3%
로 1
 
4.3%
도 1
 
4.3%
속 1
 
4.3%
고 1
 
4.3%
안 1
 
4.3%
Other values (10) 10
43.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
95.8%
Common 1
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 2
 
8.7%
법 2
 
8.7%
찰 2
 
8.7%
해 1
 
4.3%
인 1
 
4.3%
로 1
 
4.3%
도 1
 
4.3%
속 1
 
4.3%
고 1
 
4.3%
안 1
 
4.3%
Other values (10) 10
43.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
95.8%
ASCII 1
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 2
 
8.7%
법 2
 
8.7%
찰 2
 
8.7%
해 1
 
4.3%
인 1
 
4.3%
로 1
 
4.3%
도 1
 
4.3%
속 1
 
4.3%
고 1
 
4.3%
안 1
 
4.3%
Other values (10) 10
43.5%
ASCII
ValueCountFrequency (%)
1
100.0%

방향정보5
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9992 
3
 
3
2
 
3
1
 
2

Length

Max length4
Median length4
Mean length3.9976
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9992
99.9%
3 3
 
< 0.1%
2 3
 
< 0.1%
1 2
 
< 0.1%

Length

2024-05-18T03:42:04.505465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:42:04.831888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9992
99.9%
3 3
 
< 0.1%
2 3
 
< 0.1%
1 2
 
< 0.1%

방향정보5OnTheWay도로종별
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-18T03:42:05.004101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRR
2nd rowRR
ValueCountFrequency (%)
rr 2
100.0%
2024-05-18T03:42:05.603186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
R 4
100.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R 4
100.0%

방향정보5OnTheWay노선번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
387
 
2

Length

Max length4
Median length4
Mean length3.9998
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
387 2
 
< 0.1%

Length

2024-05-18T03:42:06.016252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:42:06.383071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
387 2
 
< 0.1%

방향정보5OnTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보5ToTheWay도로종별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보5ToTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보5ToTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보5원거리안내지명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing9995
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-18T03:42:06.671627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.2
Min length2

Characters and Unicode

Total characters21
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row수원월드컵경기장
2nd row진천
3rd row평택
4th row사법연수원
5th row경인교대
ValueCountFrequency (%)
수원월드컵경기장 1
20.0%
진천 1
20.0%
평택 1
20.0%
사법연수원 1
20.0%
경인교대 1
20.0%
2024-05-18T03:42:07.458139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 2
 
9.5%
경 2
 
9.5%
원 2
 
9.5%
평 1
 
4.8%
교 1
 
4.8%
인 1
 
4.8%
연 1
 
4.8%
법 1
 
4.8%
사 1
 
4.8%
택 1
 
4.8%
Other values (8) 8
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 2
 
9.5%
경 2
 
9.5%
원 2
 
9.5%
평 1
 
4.8%
교 1
 
4.8%
인 1
 
4.8%
연 1
 
4.8%
법 1
 
4.8%
사 1
 
4.8%
택 1
 
4.8%
Other values (8) 8
38.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 2
 
9.5%
경 2
 
9.5%
원 2
 
9.5%
평 1
 
4.8%
교 1
 
4.8%
인 1
 
4.8%
연 1
 
4.8%
법 1
 
4.8%
사 1
 
4.8%
택 1
 
4.8%
Other values (8) 8
38.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 2
 
9.5%
경 2
 
9.5%
원 2
 
9.5%
평 1
 
4.8%
교 1
 
4.8%
인 1
 
4.8%
연 1
 
4.8%
법 1
 
4.8%
사 1
 
4.8%
택 1
 
4.8%
Other values (8) 8
38.1%

방향정보5근거리안내지명(1)
Text

MISSING 

Distinct9
Distinct (%)90.0%
Missing9990
Missing (%)99.9%
Memory size156.2 KiB
2024-05-18T03:42:07.791890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length3

Characters and Unicode

Total characters50
Distinct characters32
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)80.0%

Sample

1st row교육청
2nd row안양교도소
3rd row안양시청
4th row금광저수지
5th row버스터미널
ValueCountFrequency (%)
안양시청 2
20.0%
교육청 1
10.0%
안양교도소 1
10.0%
금광저수지 1
10.0%
버스터미널 1
10.0%
신원c.c 1
10.0%
경기도농업기술원 1
10.0%
법원공무원교육원 1
10.0%
신평길 1
10.0%
2024-05-18T03:42:08.565537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 5
 
10.0%
교 3
 
6.0%
양 3
 
6.0%
안 3
 
6.0%
청 3
 
6.0%
육 2
 
4.0%
도 2
 
4.0%
C 2
 
4.0%
기 2
 
4.0%
시 2
 
4.0%
Other values (22) 23
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
94.0%
Uppercase Letter 2
 
4.0%
Other Punctuation 1
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 5
 
10.6%
교 3
 
6.4%
양 3
 
6.4%
안 3
 
6.4%
청 3
 
6.4%
육 2
 
4.3%
도 2
 
4.3%
기 2
 
4.3%
시 2
 
4.3%
신 2
 
4.3%
Other values (20) 20
42.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
94.0%
Latin 2
 
4.0%
Common 1
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 5
 
10.6%
교 3
 
6.4%
양 3
 
6.4%
안 3
 
6.4%
청 3
 
6.4%
육 2
 
4.3%
도 2
 
4.3%
기 2
 
4.3%
시 2
 
4.3%
신 2
 
4.3%
Other values (20) 20
42.6%
Latin
ValueCountFrequency (%)
C 2
100.0%
Common
ValueCountFrequency (%)
. 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
94.0%
ASCII 3
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 5
 
10.6%
교 3
 
6.4%
양 3
 
6.4%
안 3
 
6.4%
청 3
 
6.4%
육 2
 
4.3%
도 2
 
4.3%
기 2
 
4.3%
시 2
 
4.3%
신 2
 
4.3%
Other values (20) 20
42.6%
ASCII
ValueCountFrequency (%)
C 2
66.7%
. 1
33.3%

방향정보5근거리안내지명(2)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-18T03:42:08.864303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row법원검찰청
ValueCountFrequency (%)
법원검찰청 1
100.0%
2024-05-18T03:42:09.384286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
법 1
20.0%
원 1
20.0%
검 1
20.0%
찰 1
20.0%
청 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 1
20.0%
원 1
20.0%
검 1
20.0%
찰 1
20.0%
청 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 1
20.0%
원 1
20.0%
검 1
20.0%
찰 1
20.0%
청 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
법 1
20.0%
원 1
20.0%
검 1
20.0%
찰 1
20.0%
청 1
20.0%

방향정보6
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
2
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
2 1
 
< 0.1%

Length

2024-05-18T03:42:09.718642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T03:42:09.967589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
2 1
 
< 0.1%

방향정보6OnTheWay도로종별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보6OnTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보6OnTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보6ToTheWay도로종별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보6ToTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보6ToTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보6원거리안내지명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방향정보6근거리안내지명(1)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-18T03:42:10.183323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
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

Unique1 ?
Unique (%)100.0%

Sample

1st row제2자유로
ValueCountFrequency (%)
제2자유로 1
100.0%
2024-05-18T03:42:10.783100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 1
20.0%
2 1
20.0%
자 1
20.0%
유 1
20.0%
로 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Decimal Number 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1
25.0%
자 1
25.0%
유 1
25.0%
로 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1
25.0%
자 1
25.0%
유 1
25.0%
로 1
25.0%
Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 1
25.0%
자 1
25.0%
유 1
25.0%
로 1
25.0%
ASCII
ValueCountFrequency (%)
2 1
100.0%

방향정보6근거리안내지명(2)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

지주형식
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing154
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean4.3164737
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T03:42:11.163035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.42347
Coefficient of variation (CV)2.646482
Kurtosis64.155943
Mean4.3164737
Median Absolute Deviation (MAD)1
Skewness8.0941081
Sum42500
Variance130.49567
MonotonicityNot monotonic
2024-05-18T03:42:11.424778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 4514
45.1%
4 2054
20.5%
2 1349
 
13.5%
1 1240
 
12.4%
5 350
 
3.5%
6 199
 
2.0%
99 140
 
1.4%
(Missing) 154
 
1.5%
ValueCountFrequency (%)
1 1240
 
12.4%
2 1349
 
13.5%
3 4514
45.1%
4 2054
20.5%
5 350
 
3.5%
6 199
 
2.0%
99 140
 
1.4%
ValueCountFrequency (%)
99 140
 
1.4%
6 199
 
2.0%
5 350
 
3.5%
4 2054
20.5%
3 4514
45.1%
2 1349
 
13.5%
1 1240
 
12.4%

이미지정보
Text

Distinct9920
Distinct (%)99.9%
Missing72
Missing (%)0.7%
Memory size156.2 KiB
2024-05-18T03:42:11.782522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length117
Mean length85.654915
Min length71

Characters and Unicode

Total characters850382
Distinct characters417
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9912 ?
Unique (%)99.8%

Sample

1st rowhttp://www.korearoadsign.go.kr/signimage_original/2006-11-05/RR349D/img_0088.jpg
2nd rowhttp://www.korearoadsign.go.kr/signimage_original/2005-06-30/RR315U/RR-315-상-14(1).jpg
3rd rowhttp://www.korearoadsign.go.kr/signimage_original/2018-06-22/URP0105서울외곽순환고속도로D/dsc03650.jpg
4th rowhttp://www.korearoadsign.go.kr/signimage_original/2016-09-08/NR6경강로D/40.jpg
5th rowhttp://www.korearoadsign.go.kr/signimage_original/2006-07-01/GRP013017U/군도17-2-1.jpg
ValueCountFrequency (%)
상행 298
 
2.3%
하행 246
 
1.9%
2).jpg 117
 
0.9%
1 80
 
0.6%
2.jpg 76
 
0.6%
322호 57
 
0.4%
318호 54
 
0.4%
313호 53
 
0.4%
근거리.jpg 49
 
0.4%
근.jpg 42
 
0.3%
Other values (10124) 11645
91.6%
2024-05-18T03:42:12.710745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 59827
 
7.0%
/ 59568
 
7.0%
i 50064
 
5.9%
0 48909
 
5.8%
r 40221
 
4.7%
a 40057
 
4.7%
. 39974
 
4.7%
o 39812
 
4.7%
1 32941
 
3.9%
n 30311
 
3.6%
Other values (407) 408698
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 444029
52.2%
Decimal Number 166496
 
19.6%
Other Punctuation 109502
 
12.9%
Other Letter 48297
 
5.7%
Uppercase Letter 32845
 
3.9%
Dash Punctuation 27664
 
3.3%
Connector Punctuation 12542
 
1.5%
Space Separator 2790
 
0.3%
Open Punctuation 2738
 
0.3%
Close Punctuation 2737
 
0.3%
Other values (3) 742
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 5450
 
11.3%
근 2781
 
5.8%
리 2653
 
5.5%
거 2508
 
5.2%
도 2352
 
4.9%
지 1528
 
3.2%
방 1188
 
2.5%
서 1168
 
2.4%
대 1164
 
2.4%
남 1094
 
2.3%
Other values (345) 26411
54.7%
Lowercase Letter
ValueCountFrequency (%)
g 59827
13.5%
i 50064
11.3%
r 40221
9.1%
a 40057
9.0%
o 39812
9.0%
n 30311
 
6.8%
w 29797
 
6.7%
s 21219
 
4.8%
p 20116
 
4.5%
e 20013
 
4.5%
Other values (16) 92592
20.9%
Uppercase Letter
ValueCountFrequency (%)
R 12380
37.7%
U 7329
22.3%
D 4543
 
13.8%
N 3741
 
11.4%
P 2617
 
8.0%
E 1491
 
4.5%
C 328
 
1.0%
G 235
 
0.7%
J 114
 
0.3%
S 63
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 48909
29.4%
1 32941
19.8%
2 26104
15.7%
3 12463
 
7.5%
4 8466
 
5.1%
6 8202
 
4.9%
7 8128
 
4.9%
5 7914
 
4.8%
9 6940
 
4.2%
8 6429
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 59568
54.4%
. 39974
36.5%
: 9928
 
9.1%
, 32
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2657
97.0%
[ 81
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 2656
97.0%
] 81
 
3.0%
Math Symbol
ValueCountFrequency (%)
+ 687
93.0%
~ 52
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 27664
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12542
100.0%
Space Separator
ValueCountFrequency (%)
2790
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Number
ValueCountFrequency (%)
⑧ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 476874
56.1%
Common 325211
38.2%
Hangul 48297
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 5450
 
11.3%
근 2781
 
5.8%
리 2653
 
5.5%
거 2508
 
5.2%
도 2352
 
4.9%
지 1528
 
3.2%
방 1188
 
2.5%
서 1168
 
2.4%
대 1164
 
2.4%
남 1094
 
2.3%
Other values (345) 26411
54.7%
Latin
ValueCountFrequency (%)
g 59827
12.5%
i 50064
 
10.5%
r 40221
 
8.4%
a 40057
 
8.4%
o 39812
 
8.3%
n 30311
 
6.4%
w 29797
 
6.2%
s 21219
 
4.4%
p 20116
 
4.2%
e 20013
 
4.2%
Other values (27) 125437
26.3%
Common
ValueCountFrequency (%)
/ 59568
18.3%
0 48909
15.0%
. 39974
12.3%
1 32941
10.1%
- 27664
8.5%
2 26104
8.0%
_ 12542
 
3.9%
3 12463
 
3.8%
: 9928
 
3.1%
4 8466
 
2.6%
Other values (15) 46652
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 802084
94.3%
Hangul 48296
 
5.7%
Enclosed Alphanum 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 59827
 
7.5%
/ 59568
 
7.4%
i 50064
 
6.2%
0 48909
 
6.1%
r 40221
 
5.0%
a 40057
 
5.0%
. 39974
 
5.0%
o 39812
 
5.0%
1 32941
 
4.1%
n 30311
 
3.8%
Other values (51) 360400
44.9%
Hangul
ValueCountFrequency (%)
로 5450
 
11.3%
근 2781
 
5.8%
리 2653
 
5.5%
거 2508
 
5.2%
도 2352
 
4.9%
지 1528
 
3.2%
방 1188
 
2.5%
서 1168
 
2.4%
대 1164
 
2.4%
남 1094
 
2.3%
Other values (344) 26410
54.7%
Enclosed Alphanum
ValueCountFrequency (%)
⑧ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
100.0%

설치일자
Date

Distinct1054
Distinct (%)10.5%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
Minimum1992-07-31 00:00:00
Maximum2021-10-14 00:00:00
2024-05-18T03:42:13.174989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T03:42:13.541018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Text

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T03:42:13.917477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length8.2425
Min length3

Characters and Unicode

Total characters82425
Distinct characters84
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row경기도 양평군
2nd row경기도 용인시
3rd row경기도 부천시
4th row의정부국토관리사무소
5th row경기도 가평군
ValueCountFrequency (%)
경기도 6446
37.1%
고양시 1229
 
7.1%
의정부국토관리사무소 1026
 
5.9%
수원국토관리사무소 1026
 
5.9%
한국도로공사 837
 
4.8%
경기지역본부 800
 
4.6%
성남시 636
 
3.7%
화성시 503
 
2.9%
부천시 477
 
2.7%
남양주시 282
 
1.6%
Other values (54) 4092
23.6%
2024-05-18T03:42:14.655855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 7912
 
9.6%
경 7370
 
8.9%
7354
 
8.9%
기 7326
 
8.9%
시 6116
 
7.4%
사 3127
 
3.8%
국 2935
 
3.6%
부 2520
 
3.1%
리 2254
 
2.7%
토 2098
 
2.5%
Other values (74) 33413
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74452
90.3%
Space Separator 7354
 
8.9%
Dash Punctuation 208
 
0.3%
Open Punctuation 160
 
0.2%
Close Punctuation 160
 
0.2%
Decimal Number 91
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7912
 
10.6%
경 7370
 
9.9%
기 7326
 
9.8%
시 6116
 
8.2%
사 3127
 
4.2%
국 2935
 
3.9%
부 2520
 
3.4%
리 2254
 
3.0%
토 2098
 
2.8%
관 2098
 
2.8%
Other values (68) 30696
41.2%
Decimal Number
ValueCountFrequency (%)
3 46
50.5%
2 45
49.5%
Space Separator
ValueCountFrequency (%)
7354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74452
90.3%
Common 7973
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7912
 
10.6%
경 7370
 
9.9%
기 7326
 
9.8%
시 6116
 
8.2%
사 3127
 
4.2%
국 2935
 
3.9%
부 2520
 
3.4%
리 2254
 
3.0%
토 2098
 
2.8%
관 2098
 
2.8%
Other values (68) 30696
41.2%
Common
ValueCountFrequency (%)
7354
92.2%
- 208
 
2.6%
( 160
 
2.0%
) 160
 
2.0%
3 46
 
0.6%
2 45
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74452
90.3%
ASCII 7973
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 7912
 
10.6%
경 7370
 
9.9%
기 7326
 
9.8%
시 6116
 
8.2%
사 3127
 
4.2%
국 2935
 
3.9%
부 2520
 
3.4%
리 2254
 
3.0%
토 2098
 
2.8%
관 2098
 
2.8%
Other values (68) 30696
41.2%
ASCII
ValueCountFrequency (%)
7354
92.2%
- 208
 
2.6%
( 160
 
2.0%
) 160
 
2.0%
3 46
 
0.6%
2 45
 
0.6%

관리기관전화번호
Text

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T03:42:15.102252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.9884
Min length11

Characters and Unicode

Total characters119884
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row031-773-5101
2nd row031-324-2114
3rd row032-320-2114
4th row031-820-1747
5th row031-582-2684
ValueCountFrequency (%)
031-961-2114 1229
 
12.3%
031-820-1747 1026
 
10.3%
031-284-2202 1026
 
10.3%
02-2225-8114 800
 
8.0%
031-755-2211 636
 
6.4%
031-355-2114 503
 
5.0%
032-320-2114 477
 
4.8%
031-590-2114 282
 
2.8%
031-324-2114 254
 
2.5%
031-773-5101 246
 
2.5%
Other values (51) 3521
35.2%
2024-05-18T03:42:16.039570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23864
19.9%
- 20000
16.7%
0 16936
14.1%
2 16863
14.1%
3 12780
10.7%
4 8747
 
7.3%
8 5449
 
4.5%
5 5371
 
4.5%
7 4346
 
3.6%
6 3140
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99884
83.3%
Dash Punctuation 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23864
23.9%
0 16936
17.0%
2 16863
16.9%
3 12780
12.8%
4 8747
 
8.8%
8 5449
 
5.5%
5 5371
 
5.4%
7 4346
 
4.4%
6 3140
 
3.1%
9 2388
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119884
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23864
19.9%
- 20000
16.7%
0 16936
14.1%
2 16863
14.1%
3 12780
10.7%
4 8747
 
7.3%
8 5449
 
4.5%
5 5371
 
4.5%
7 4346
 
3.6%
6 3140
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23864
19.9%
- 20000
16.7%
0 16936
14.1%
2 16863
14.1%
3 12780
10.7%
4 8747
 
7.3%
8 5449
 
4.5%
5 5371
 
4.5%
7 4346
 
3.6%
6 3140
 
2.6%

데이터기준일자
Date

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-09-01 00:00:00
Maximum2021-09-30 00:00:00
2024-05-18T03:42:16.464860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T03:42:16.832159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Sample

도로안내표지일련번호도로종류도로노선번호도로노선명도로노선방향차로수소재지도로명주소소재지지번주소위도경도도로안내표지구분방향정보1방향정보1OnTheWay도로종별방향정보1OnTheWay노선번호방향정보1OnTheWay도로명방향정보1ToTheWay도로종별방향정보1ToTheWay노선번호방향정보1ToTheWay도로명방향정보1원거리안내지명방향정보1근거리안내지명(1)방향정보1근거리안내지명(2)방향정보2방향정보2OnTheWay도로종별방향정보2OnTheWay노선번호방향정보2OnTheWay도로명방향정보2ToTheWay도로종별방향정보2ToTheWay노선번호방향정보2ToTheWay도로명방향정보2원거리안내지명방향정보2근거리안내지명(1)방향정보2근거리안내지명(2)방향정보3방향정보3OnTheWay도로종별방향정보3OnTheWay노선번호방향정보3OnTheWay도로명방향정보3ToTheWay도로종별방향정보3ToTheWay노선번호방향정보3ToTheWay도로명방향정보3원거리안내지명방향정보3근거리안내지명(1)방향정보3근거리안내지명(2)방향정보4방향정보4OnTheWay도로종별방향정보4OnTheWay노선번호방향정보4OnTheWay도로명방향정보4ToTheWay도로종별방향정보4ToTheWay노선번호방향정보4ToTheWay도로명방향정보4원거리안내지명방향정보4근거리안내지명(1)방향정보4근거리안내지명(2)방향정보5방향정보5OnTheWay도로종별방향정보5OnTheWay노선번호방향정보5OnTheWay도로명방향정보5ToTheWay도로종별방향정보5ToTheWay노선번호방향정보5ToTheWay도로명방향정보5원거리안내지명방향정보5근거리안내지명(1)방향정보5근거리안내지명(2)방향정보6방향정보6OnTheWay도로종별방향정보6OnTheWay노선번호방향정보6OnTheWay도로명방향정보6ToTheWay도로종별방향정보6ToTheWay노선번호방향정보6ToTheWay도로명방향정보6원거리안내지명방향정보6근거리안내지명(1)방향정보6근거리안내지명(2)지주형식이미지정보설치일자관리기관명관리기관전화번호데이터기준일자
18244RR-349[양동로]-하-29RR349양동로D<NA>경기도 양평군 양동면 쌍학리<NA>37.409313127.75033831<NA><NA><NA>NR37<NA><NA>대신<NA>3<NA><NA><NA>NR42.0<NA>원주간현<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2http://www.korearoadsign.go.kr/signimage_original/2006-11-05/RR349D/img_0088.jpg2006-11-04경기도 양평군031-773-51012021-09-30
16639RR-315[사은로]-상-14RR315사은로U<NA>경기도 용인시 기흥구 지곡동<NA>37.254801<NA>31RR315<NA><NA><NA><NA><NA>수원신갈2<NA><NA><NA><NA>NaN<NA><NA><NA><NA>3<NA><NA><NA><NA>NaN<NA><NA>지곡리<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2005-06-30/RR315U/RR-315-상-14(1).jpg2004-06-11경기도 용인시031-324-21142021-09-30
28148UR(부천시)-[순환동로]-하-5UR0순환동로D<NA>경기도 부천시 상동<NA><NA>126.74750631<NA><NA><NA><NA><NA><NA><NA>진입금지<NA>3UR<NA><NA>URNaN<NA><NA>중앙공원법원, 검찰청2UR<NA><NA>URNaN<NA>인천<NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4http://www.korearoadsign.go.kr/signimage_original/2018-06-22/URP0105서울외곽순환고속도로D/dsc03650.jpg2004-12-31경기도 부천시032-320-21142021-09-30
13524NR-6[경강로]-하-234NR6경강로D<NA>경기도 남양주시 경강로<NA>37.545583127.2443672<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2016-09-08/NR6경강로D/40.jpg2001-09-13의정부국토관리사무소031-820-17472021-09-30
4288GR(가평군)-[양방가루재길]-상-4GR0양방가루재길U2경기도 가평군 설악면 양방가루재길<NA>37.631558127.5090563<NA>GR17<NA><NA><NA><NA><NA>묵안리<NA><NA>GR17<NA><NA>NaN<NA>청평방일리<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2006-07-01/GRP013017U/군도17-2-1.jpg2006-07-01경기도 가평군031-582-26842021-09-30
25009UR(고양시)-하-1939UR0-D<NA>경기도 고양시 일산동구 설문동<NA>37.720365126.78593133UR<NA><NA><NA><NA><NA>고봉로파주(조리)<NA>1UR<NA><NA><NA>NaN<NA>상지석북고양(설문)IC<NA>2UR<NA><NA><NA>NaN<NA>고봉로고양(일산)<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2021-10-13/URP01100D/상지석로5-전방-근경.jpg2021-10-13경기도 고양시031-961-21142021-09-30
18889RR-360[부흥로]-하-50RR360부흥로D2경기도 양주시 광적면 부흥로<NA>37.805259126.91415631RR360<NA><NA><NA><NA><NA>발랑리파주2RR367<NA>RR56.0<NA><NA>법원리<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2005-11-22/RR360D/dscn2325.jpg2005-11-22경기도 양주시031-810-25262021-09-30
25702UR(구리시)-[강변북로]-하-1UR0강변북로D<NA>경기도 구리시 강변북로<NA>37.572862127.12826332<NA><NA><NA><NA><NA><NA><NA>구리한강시민공원(꽃단지체육시<NA>1<NA><NA><NA>NR6.0<NA><NA>양평<NA>3<NA><NA><NA><NA>NaN<NA><NA>구리<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2006-11-02/URP0112토평강변로D/100_1415.jpg2006-11-02경기도 구리시031-557-10102021-09-30
22856UR(고양시)-[덕양로]-하-20UR0덕양로D6경기도 고양시 덕양구 도내동<NA>37.627688126.86403531<NA><NA><NA><NA><NA><NA>인천국제공항행신동화정동2<NA><NA><NA><NA>NaN<NA><NA>도래울마을5단지석탄이신의유적<NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4http://www.korearoadsign.go.kr/signimage_original/2019-05-27/URP0110덕양로D/14+.jpg2019-05-27경기도 고양시031-961-21142021-09-30
11206NR-43[행정서남로]-상-128NR43행정서남로U<NA>경기도 화성시 향남읍 행정서남로<NA>37.125154126.91248899<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.korearoadsign.go.kr/signimage_original/2001-8-21/국도43남북/국도-43-남북-289원거리.jpg2001-08-21수원국토관리사무소031-284-22022021-09-30
도로안내표지일련번호도로종류도로노선번호도로노선명도로노선방향차로수소재지도로명주소소재지지번주소위도경도도로안내표지구분방향정보1방향정보1OnTheWay도로종별방향정보1OnTheWay노선번호방향정보1OnTheWay도로명방향정보1ToTheWay도로종별방향정보1ToTheWay노선번호방향정보1ToTheWay도로명방향정보1원거리안내지명방향정보1근거리안내지명(1)방향정보1근거리안내지명(2)방향정보2방향정보2OnTheWay도로종별방향정보2OnTheWay노선번호방향정보2OnTheWay도로명방향정보2ToTheWay도로종별방향정보2ToTheWay노선번호방향정보2ToTheWay도로명방향정보2원거리안내지명방향정보2근거리안내지명(1)방향정보2근거리안내지명(2)방향정보3방향정보3OnTheWay도로종별방향정보3OnTheWay노선번호방향정보3OnTheWay도로명방향정보3ToTheWay도로종별방향정보3ToTheWay노선번호방향정보3ToTheWay도로명방향정보3원거리안내지명방향정보3근거리안내지명(1)방향정보3근거리안내지명(2)방향정보4방향정보4OnTheWay도로종별방향정보4OnTheWay노선번호방향정보4OnTheWay도로명방향정보4ToTheWay도로종별방향정보4ToTheWay노선번호방향정보4ToTheWay도로명방향정보4원거리안내지명방향정보4근거리안내지명(1)방향정보4근거리안내지명(2)방향정보5방향정보5OnTheWay도로종별방향정보5OnTheWay노선번호방향정보5OnTheWay도로명방향정보5ToTheWay도로종별방향정보5ToTheWay노선번호방향정보5ToTheWay도로명방향정보5원거리안내지명방향정보5근거리안내지명(1)방향정보5근거리안내지명(2)방향정보6방향정보6OnTheWay도로종별방향정보6OnTheWay노선번호방향정보6OnTheWay도로명방향정보6ToTheWay도로종별방향정보6ToTheWay노선번호방향정보6ToTheWay도로명방향정보6원거리안내지명방향정보6근거리안내지명(1)방향정보6근거리안내지명(2)지주형식이미지정보설치일자관리기관명관리기관전화번호데이터기준일자
25818UR(구리시)-[북부간선도로]-하-11UR0북부간선도로D<NA>경기도 구리시 인창동<NA>37.610901127.122554382<NA><NA><NA><NA><NA><NA><NA>국군구리병원<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5http://www.korearoadsign.go.kr/signimage_original/2017-07-24/URP0112인창2로D/북부간선(태릉)_1+700(근).jpg2017-06-29경기도 구리시031-557-10102021-09-30
6264NR-37[여양로]-하-761NR37여양로D<NA>경기도 여주시 대신면 보통리<NA>37.374923127.57820731NR37<NA><NA><NA><NA>장호원여주<NA>2<NA><NA><NA><NA>NaN<NA><NA>보통리<NA>3RR88<NA>RR70<NA>용문대신<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2016-10-21/NR37여양로D/3740000034_근거리.jpg2001-09-07수원국토관리사무소031-284-22022021-09-30
8942NR-3[경충대로]-하-211NR3경충대로D<NA>경기도 여주군 가남면 경충대로<NA>37.188503<NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1http://www.korearoadsign.go.kr/signimage_original/2003-12-04/NR3D/NR-3-하-211(1).jpg2001-08-18수원국토관리사무소031-284-22022021-09-30
16435RR-313[화성로]-하-122RR313화성로D<NA>경기도 화성시 비봉면 화성로<NA>37.239483126.87966499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6http://www.korearoadsign.go.kr/signimage_original/2011-08-05/RR000313D/지방도 313호 (하행) 29-22.jpg2011-08-05경기도 화성시031-355-21142021-09-30
5606NR-1[통일로]-상-2305NR1통일로U6경기도 고양시 덕양구 내유동 통일로<NA>37.725139<NA>33<NA><NA><NA><NA><NA><NA>문봉고봉동<NA>1NR1<NA><NA>NaN<NA>문산금촌<NA>2<NA><NA><NA><NA>NaN<NA>기동경찰교육센터<NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2019-06-11/NR1통일로U/59+.jpg2019-06-11경기도 고양시031-961-21142021-09-30
26415UR(김포시)-[월하로]-상-17UR0월하로U<NA>경기도 김포시 월곶면 월하로<NA>37.710422126.55824132UR12<NA>NR48<NA>강화월곶<NA>3UR12<NA>NR48.0<NA>서울김포시청김포경찰서<NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2007-01-10/URP012312U/p1040029.jpg2007-01-10경기도 김포시031-984-21812021-09-30
28901UR(성남시)-[돌마로366번길]-하-2UR0돌마로366번길D<NA>경기도 성남시 분당구 수내동<NA>37.367211<NA>33UR91<NA><NA><NA><NA>광주율동공원<NA>1<NA><NA><NA><NA>NaN<NA><NA>수내3동 단독택지<NA>2UR91<NA><NA>NaN<NA>금곡동정자3동<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4http://www.korearoadsign.go.kr/signimage_original/2006-06-25/URP0102455수내1길D/수내1길8-2(근거리).jpg2006-06-25경기도 성남시031-755-22112021-09-30
28518UR(부천시)-[중동로]-상-68UR0중동로U<NA>경기도 부천시 중동<NA>37.510332126.76980231UR17<NA>ER120<NA>경인고속도로신흥동<NA>2UR<NA><NA>URNaN<NA>중앙로도당동<NA>3UR<NA><NA>URNaN<NA>중동대로부천체육관<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4http://www.korearoadsign.go.kr/signimage_original/2018-06-20/URP010517중동로U/dsc03282(1).jpg2004-12-13경기도 부천시032-320-21142021-09-30
4771GR(연천군)-[합내로]-하-4GR0합내로D<NA>경기도 연천군 연천읍 옥산리<NA>38.135648127.0914934<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1http://www.korearoadsign.go.kr/signimage_original/2006-10-25/GRP01289D/sa400027.jpg2006-10-25경기도 연천군031-834-22112021-09-30
8222NR-39[서해로]-하-1040NR39서해로D<NA>경기도 화성시 매송면 야목리<NA>37.255143126.89893933<NA><NA><NA><NA><NA><NA><NA>수원어천2<NA><NA><NA><NA>NaN<NA><NA>안산아목<NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.korearoadsign.go.kr/signimage_original/2016-12-27/NR39서해로D/r2315021100391120160116(1).jpg2016-12-27수원국토관리사무소031-284-22022021-09-30