Overview

Dataset statistics

Number of variables79
Number of observations2008
Missing cells71923
Missing cells (%)45.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory666.1 B

Variable types

Text22
Categorical28
Numeric9
Unsupported18
DateTime2

Dataset

Description경기도 의정부시 관내 도로안내표지에 대한 데이터로 도로표지관리시스템 표지일련번호,도로종류,도로노선번호,도로노선명,도로노선방향,차로수,소재지도로명주소,소재지지번주소,위도,경도,도로안내표지구분,방향정보1,방향정보1OnTheWay도로종별,방향정보1OnTheWay노선번호,방향정보1OnTheWay도로명,방향정보1ToTheWay도로종별,방향정보1ToTheWay노선번호,방향정보1ToTheWay도로명,방향정보1원거리안내지명,방향정보1근거리안내지명(1),방향정보1근거리안내지명(2) 등등과 데이터기준일자, 행정동 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15095683/fileData.do

Alerts

방향정보1ToTheWay도로명 has constant value ""Constant
방향정보5ToTheWay도로종별 has constant value ""Constant
방향정보5근거리안내지명(2) has constant value ""Constant
이미지정보 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
방향정보1OnTheWay도로종별 is highly imbalanced (77.1%)Imbalance
방향정보1OnTheWay노선번호 is highly imbalanced (79.5%)Imbalance
방향정보1ToTheWay도로종별 is highly imbalanced (59.7%)Imbalance
방향정보1ToTheWay노선번호 is highly imbalanced (66.1%)Imbalance
방향정보2OnTheWay도로종별 is highly imbalanced (85.5%)Imbalance
방향정보2OnTheWay노선번호 is highly imbalanced (87.2%)Imbalance
방향정보2OnTheWay도로명 is highly imbalanced (97.7%)Imbalance
방향정보2ToTheWay도로종별 is highly imbalanced (64.8%)Imbalance
방향정보2ToTheWay노선번호 is highly imbalanced (74.8%)Imbalance
방향정보3OnTheWay도로종별 is highly imbalanced (86.9%)Imbalance
방향정보3OnTheWay노선번호 is highly imbalanced (90.6%)Imbalance
방향정보3ToTheWay도로종별 is highly imbalanced (80.5%)Imbalance
방향정보3ToTheWay노선번호 is highly imbalanced (83.1%)Imbalance
방향정보4OnTheWay도로종별 is highly imbalanced (98.4%)Imbalance
방향정보4OnTheWay노선번호 is highly imbalanced (99.2%)Imbalance
방향정보4ToTheWay도로종별 is highly imbalanced (92.4%)Imbalance
방향정보4ToTheWay노선번호 is highly imbalanced (92.4%)Imbalance
방향정보4원거리안내지명 is highly imbalanced (94.8%)Imbalance
방향정보4근거리안내지명(1) is highly imbalanced (91.5%)Imbalance
방향정보5 is highly imbalanced (98.6%)Imbalance
방향정보5ToTheWay노선번호 is highly imbalanced (99.4%)Imbalance
소재지도로명주소 has 1867 (93.0%) missing valuesMissing
방향정보1 has 406 (20.2%) missing valuesMissing
방향정보1OnTheWay도로명 has 1998 (99.5%) missing valuesMissing
방향정보1ToTheWay도로명 has 2007 (> 99.9%) missing valuesMissing
방향정보1원거리안내지명 has 1431 (71.3%) missing valuesMissing
방향정보1근거리안내지명(1) has 243 (12.1%) missing valuesMissing
방향정보1근거리안내지명(2) has 1842 (91.7%) missing valuesMissing
방향정보2 has 998 (49.7%) missing valuesMissing
방향정보2ToTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보2원거리안내지명 has 1564 (77.9%) missing valuesMissing
방향정보2근거리안내지명(1) has 1037 (51.6%) missing valuesMissing
방향정보2근거리안내지명(2) has 1877 (93.5%) missing valuesMissing
방향정보3 has 1449 (72.2%) missing valuesMissing
방향정보3OnTheWay도로명 has 2003 (99.8%) missing valuesMissing
방향정보3ToTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보3원거리안내지명 has 1711 (85.2%) missing valuesMissing
방향정보3근거리안내지명(1) has 1483 (73.9%) missing valuesMissing
방향정보3근거리안내지명(2) has 1921 (95.7%) missing valuesMissing
방향정보4 has 1921 (95.7%) missing valuesMissing
방향정보4OnTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보4ToTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보4근거리안내지명(2) has 1998 (99.5%) missing valuesMissing
방향정보5OnTheWay도로종별 has 2008 (100.0%) missing valuesMissing
방향정보5OnTheWay노선번호 has 2008 (100.0%) missing valuesMissing
방향정보5OnTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보5ToTheWay도로종별 has 2007 (> 99.9%) missing valuesMissing
방향정보5ToTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보5원거리안내지명 has 2006 (99.9%) missing valuesMissing
방향정보5근거리안내지명(1) has 2003 (99.8%) missing valuesMissing
방향정보5근거리안내지명(2) has 2007 (> 99.9%) missing valuesMissing
방향정보6 has 2008 (100.0%) missing valuesMissing
방향정보6OnTheWay도로종별 has 2008 (100.0%) missing valuesMissing
방향정보6OnTheWay노선번호 has 2008 (100.0%) missing valuesMissing
방향정보6OnTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보6ToTheWay도로종별 has 2008 (100.0%) missing valuesMissing
방향정보6ToTheWay노선번호 has 2008 (100.0%) missing valuesMissing
방향정보6ToTheWay도로명 has 2008 (100.0%) missing valuesMissing
방향정보6원거리안내지명 has 2008 (100.0%) missing valuesMissing
방향정보6근거리안내지명(1) has 2008 (100.0%) missing valuesMissing
방향정보6근거리안내지명(2) has 2008 (100.0%) missing valuesMissing
이미지파일명(원-근) has unique valuesUnique
방향정보2ToTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보3ToTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보4OnTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보4ToTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보5OnTheWay도로종별 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보5OnTheWay노선번호 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
방향정보5ToTheWay도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방향정보6 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(1) 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

Reproduction

Analysis started2023-12-12 02:48:38.505190
Analysis finished2023-12-12 02:48:40.433956
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로표지관리시스템 표지일련번호
Text

Distinct1801
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T11:48:40.619798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length13.869024
Min length9

Characters and Unicode

Total characters27849
Distinct characters112
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1604 ?
Unique (%)79.9%

Sample

1st rowUR-[신흥로]-상-16
2nd rowUR-[신흥로]-하-18
3rd rowUR-[시민로]-상-37
4th rowUR-[시민로]-상-43
5th rowUR-[시민로]-상-38
ValueCountFrequency (%)
nr-39[서부로]-상-696 3
 
0.1%
nr-[서부로]-상-1 3
 
0.1%
nr-39[서부로]-상-927 3
 
0.1%
nr-43[시민로]-상-769 3
 
0.1%
ur-[동일로]-상-51 3
 
0.1%
nr-43[시민로]-하-372 3
 
0.1%
ur-[누원1길]-상-1 3
 
0.1%
nr-3[동일로]-하-2361 3
 
0.1%
nr-43[금신로]-상-773 3
 
0.1%
nr-43[금신로]-하-749 3
 
0.1%
Other values (1791) 1978
98.5%
2023-12-12T11:48:41.025306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6024
21.6%
R 2008
 
7.2%
[ 2004
 
7.2%
] 2004
 
7.2%
로 2001
 
7.2%
U 1578
 
5.7%
상 1218
 
4.4%
3 951
 
3.4%
1 825
 
3.0%
하 790
 
2.8%
Other values (102) 8446
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8231
29.6%
Dash Punctuation 6024
21.6%
Decimal Number 5542
19.9%
Uppercase Letter 4016
14.4%
Open Punctuation 2018
 
7.2%
Close Punctuation 2018
 
7.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2001
24.3%
상 1218
14.8%
하 790
 
9.6%
민 328
 
4.0%
호 234
 
2.8%
국 228
 
2.8%
평 218
 
2.6%
동 206
 
2.5%
화 175
 
2.1%
의 153
 
1.9%
Other values (84) 2680
32.6%
Decimal Number
ValueCountFrequency (%)
3 951
17.2%
1 825
14.9%
2 645
11.6%
4 588
10.6%
9 483
8.7%
7 448
8.1%
8 434
7.8%
5 425
7.7%
6 397
7.2%
0 346
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
R 2008
50.0%
U 1578
39.3%
N 430
 
10.7%
Open Punctuation
ValueCountFrequency (%)
[ 2004
99.3%
( 14
 
0.7%
Close Punctuation
ValueCountFrequency (%)
] 2004
99.3%
) 14
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 6024
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15602
56.0%
Hangul 8231
29.6%
Latin 4016
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2001
24.3%
상 1218
14.8%
하 790
 
9.6%
민 328
 
4.0%
호 234
 
2.8%
국 228
 
2.8%
평 218
 
2.6%
동 206
 
2.5%
화 175
 
2.1%
의 153
 
1.9%
Other values (84) 2680
32.6%
Common
ValueCountFrequency (%)
- 6024
38.6%
[ 2004
 
12.8%
] 2004
 
12.8%
3 951
 
6.1%
1 825
 
5.3%
2 645
 
4.1%
4 588
 
3.8%
9 483
 
3.1%
7 448
 
2.9%
8 434
 
2.8%
Other values (5) 1196
 
7.7%
Latin
ValueCountFrequency (%)
R 2008
50.0%
U 1578
39.3%
N 430
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19618
70.4%
Hangul 8231
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6024
30.7%
R 2008
 
10.2%
[ 2004
 
10.2%
] 2004
 
10.2%
U 1578
 
8.0%
3 951
 
4.8%
1 825
 
4.2%
2 645
 
3.3%
4 588
 
3.0%
9 483
 
2.5%
Other values (8) 2508
12.8%
Hangul
ValueCountFrequency (%)
로 2001
24.3%
상 1218
14.8%
하 790
 
9.6%
민 328
 
4.0%
호 234
 
2.8%
국 228
 
2.8%
평 218
 
2.6%
동 206
 
2.5%
화 175
 
2.1%
의 153
 
1.9%
Other values (84) 2680
32.6%

도로종류
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
UR
1560 
NR
448 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
UR 1560
77.7%
NR 448
 
22.3%

Length

2023-12-12T11:48:41.152985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:41.261254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ur 1560
77.7%
nr 448
 
22.3%

도로노선번호
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1560 
43
218 
3
166 
39
 
64

Length

Max length4
Median length4
Mean length3.4711155
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> 1560
77.7%
43 218
 
10.9%
3 166
 
8.3%
39 64
 
3.2%

Length

2023-12-12T11:48:41.412576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:41.536649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1560
77.7%
43 218
 
10.9%
3 166
 
8.3%
39 64
 
3.2%

도로노선명
Text

Distinct94
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T11:48:41.783913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.2066733
Min length3

Characters and Unicode

Total characters6439
Distinct characters102
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

Unique9 ?
Unique (%)0.4%

Sample

1st row신흥로
2nd row신흥로
3rd row시민로
4th row시민로
5th row시민로
ValueCountFrequency (%)
호국로 222
 
11.1%
평화로 170
 
8.5%
용민로 128
 
6.4%
동일로 123
 
6.1%
시민로 94
 
4.7%
민락로 90
 
4.5%
신흥로 83
 
4.1%
서부로 72
 
3.6%
추동로 59
 
2.9%
의정로 56
 
2.8%
Other values (84) 911
45.4%
2023-12-12T11:48:42.220586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 2002
31.1%
민 329
 
5.1%
호 234
 
3.6%
국 228
 
3.5%
평 218
 
3.4%
동 207
 
3.2%
화 175
 
2.7%
신 153
 
2.4%
용 153
 
2.4%
의 153
 
2.4%
Other values (92) 2587
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6226
96.7%
Decimal Number 213
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2002
32.2%
민 329
 
5.3%
호 234
 
3.8%
국 228
 
3.7%
평 218
 
3.5%
동 207
 
3.3%
화 175
 
2.8%
신 153
 
2.5%
용 153
 
2.5%
의 153
 
2.5%
Other values (82) 2374
38.1%
Decimal Number
ValueCountFrequency (%)
5 41
19.2%
1 34
16.0%
2 29
13.6%
6 23
10.8%
4 22
10.3%
3 18
8.5%
0 16
 
7.5%
8 12
 
5.6%
7 9
 
4.2%
9 9
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6226
96.7%
Common 213
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2002
32.2%
민 329
 
5.3%
호 234
 
3.8%
국 228
 
3.7%
평 218
 
3.5%
동 207
 
3.3%
화 175
 
2.8%
신 153
 
2.5%
용 153
 
2.5%
의 153
 
2.5%
Other values (82) 2374
38.1%
Common
ValueCountFrequency (%)
5 41
19.2%
1 34
16.0%
2 29
13.6%
6 23
10.8%
4 22
10.3%
3 18
8.5%
0 16
 
7.5%
8 12
 
5.6%
7 9
 
4.2%
9 9
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6226
96.7%
ASCII 213
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 2002
32.2%
민 329
 
5.3%
호 234
 
3.8%
국 228
 
3.7%
평 218
 
3.5%
동 207
 
3.3%
화 175
 
2.8%
신 153
 
2.5%
용 153
 
2.5%
의 153
 
2.5%
Other values (82) 2374
38.1%
ASCII
ValueCountFrequency (%)
5 41
19.2%
1 34
16.0%
2 29
13.6%
6 23
10.8%
4 22
10.3%
3 18
8.5%
0 16
 
7.5%
8 12
 
5.6%
7 9
 
4.2%
9 9
 
4.2%

도로노선방향
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
U
1504 
D
504 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 1504
74.9%
D 504
 
25.1%

Length

2023-12-12T11:48:42.373170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:42.494895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 1504
74.9%
d 504
 
25.1%

차로수
Real number (ℝ)

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4870518
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:42.629065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q37
95-th percentile9
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0274233
Coefficient of variation (CV)0.36949228
Kurtosis-0.5811555
Mean5.4870518
Median Absolute Deviation (MAD)1
Skewness-0.1453142
Sum11018
Variance4.1104451
MonotonicityNot monotonic
2023-12-12T11:48:42.745417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 380
18.9%
6 351
17.5%
4 326
16.2%
5 306
15.2%
8 198
9.9%
2 182
9.1%
3 114
 
5.7%
9 100
 
5.0%
1 32
 
1.6%
10 13
 
0.6%
ValueCountFrequency (%)
1 32
 
1.6%
2 182
9.1%
3 114
 
5.7%
4 326
16.2%
5 306
15.2%
6 351
17.5%
7 380
18.9%
8 198
9.9%
9 100
 
5.0%
10 13
 
0.6%
ValueCountFrequency (%)
11 6
 
0.3%
10 13
 
0.6%
9 100
 
5.0%
8 198
9.9%
7 380
18.9%
6 351
17.5%
5 306
15.2%
4 326
16.2%
3 114
 
5.7%
2 182
9.1%

소재지도로명주소
Text

MISSING 

Distinct54
Distinct (%)38.3%
Missing1867
Missing (%)93.0%
Memory size15.8 KiB
2023-12-12T11:48:43.019530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length16.510638
Min length14

Characters and Unicode

Total characters2328
Distinct characters54
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

Unique10 ?
Unique (%)7.1%

Sample

1st row경기도 의정부시 시민로 63
2nd row경기도 의정부시 시민로 63
3rd row경기도 의정부시 흥선로154번길 30
4th row경기도 의정부시 경의로 70
5th row경기도 의정부시 경의로 70
ValueCountFrequency (%)
경기도 141
24.7%
의정부시 141
24.7%
회룡로 13
 
2.3%
평화로 12
 
2.1%
가능로 12
 
2.1%
태평로 10
 
1.8%
경의로 10
 
1.8%
시민로 8
 
1.4%
충의로 6
 
1.1%
녹양로 6
 
1.1%
Other values (74) 211
37.0%
2023-12-12T11:48:43.500966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
429
18.4%
의 166
 
7.1%
경 153
 
6.6%
시 150
 
6.4%
정 148
 
6.4%
부 145
 
6.2%
로 141
 
6.1%
기 141
 
6.1%
도 141
 
6.1%
1 77
 
3.3%
Other values (44) 637
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1476
63.4%
Space Separator 429
 
18.4%
Decimal Number 419
 
18.0%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 166
11.2%
경 153
10.4%
시 150
10.2%
정 148
10.0%
부 145
9.8%
로 141
9.6%
기 141
9.6%
도 141
9.6%
길 27
 
1.8%
평 27
 
1.8%
Other values (32) 237
16.1%
Decimal Number
ValueCountFrequency (%)
1 77
18.4%
2 70
16.7%
5 46
11.0%
3 37
8.8%
0 36
8.6%
7 35
8.4%
4 34
8.1%
6 33
7.9%
8 31
7.4%
9 20
 
4.8%
Space Separator
ValueCountFrequency (%)
429
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1476
63.4%
Common 852
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 166
11.2%
경 153
10.4%
시 150
10.2%
정 148
10.0%
부 145
9.8%
로 141
9.6%
기 141
9.6%
도 141
9.6%
길 27
 
1.8%
평 27
 
1.8%
Other values (32) 237
16.1%
Common
ValueCountFrequency (%)
429
50.4%
1 77
 
9.0%
2 70
 
8.2%
5 46
 
5.4%
3 37
 
4.3%
0 36
 
4.2%
7 35
 
4.1%
4 34
 
4.0%
6 33
 
3.9%
8 31
 
3.6%
Other values (2) 24
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1476
63.4%
ASCII 852
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
429
50.4%
1 77
 
9.0%
2 70
 
8.2%
5 46
 
5.4%
3 37
 
4.3%
0 36
 
4.2%
7 35
 
4.1%
4 34
 
4.0%
6 33
 
3.9%
8 31
 
3.6%
Other values (2) 24
 
2.8%
Hangul
ValueCountFrequency (%)
의 166
11.2%
경 153
10.4%
시 150
10.2%
정 148
10.0%
부 145
9.8%
로 141
9.6%
기 141
9.6%
도 141
9.6%
길 27
 
1.8%
평 27
 
1.8%
Other values (32) 237
16.1%

소재지지번주소
Text

Distinct629
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T11:48:43.996312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.828685
Min length15

Characters and Unicode

Total characters35800
Distinct characters41
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

Unique174 ?
Unique (%)8.7%

Sample

1st row경기도 의정부시 의정부동 494
2nd row경기도 의정부시 의정부동 494
3rd row경기도 의정부시 의정부동 677
4th row경기도 의정부시 의정부동 677
5th row경기도 의정부시 의정부동 677
ValueCountFrequency (%)
경기도 2008
24.8%
의정부시 2008
24.8%
의정부동 389
 
4.8%
신곡동 271
 
3.3%
가능동 254
 
3.1%
민락동 200
 
2.5%
금오동 186
 
2.3%
호원동 169
 
2.1%
녹양동 142
 
1.8%
용현동 105
 
1.3%
Other values (618) 2380
29.3%
2023-12-12T11:48:44.915293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6104
17.1%
의 2397
 
6.7%
정 2397
 
6.7%
부 2397
 
6.7%
경 2008
 
5.6%
도 2008
 
5.6%
시 2008
 
5.6%
기 2008
 
5.6%
동 2008
 
5.6%
1 1444
 
4.0%
Other values (31) 11021
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20549
57.4%
Decimal Number 7710
 
21.5%
Space Separator 6104
 
17.1%
Dash Punctuation 1437
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2397
11.7%
정 2397
11.7%
부 2397
11.7%
경 2008
9.8%
도 2008
9.8%
시 2008
9.8%
기 2008
9.8%
동 2008
9.8%
곡 293
 
1.4%
신 271
 
1.3%
Other values (19) 2754
13.4%
Decimal Number
ValueCountFrequency (%)
1 1444
18.7%
4 868
11.3%
3 864
11.2%
2 849
11.0%
7 766
9.9%
6 721
9.4%
5 720
9.3%
9 547
 
7.1%
8 475
 
6.2%
0 456
 
5.9%
Space Separator
ValueCountFrequency (%)
6104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1437
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20549
57.4%
Common 15251
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2397
11.7%
정 2397
11.7%
부 2397
11.7%
경 2008
9.8%
도 2008
9.8%
시 2008
9.8%
기 2008
9.8%
동 2008
9.8%
곡 293
 
1.4%
신 271
 
1.3%
Other values (19) 2754
13.4%
Common
ValueCountFrequency (%)
6104
40.0%
1 1444
 
9.5%
- 1437
 
9.4%
4 868
 
5.7%
3 864
 
5.7%
2 849
 
5.6%
7 766
 
5.0%
6 721
 
4.7%
5 720
 
4.7%
9 547
 
3.6%
Other values (2) 931
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20549
57.4%
ASCII 15251
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6104
40.0%
1 1444
 
9.5%
- 1437
 
9.4%
4 868
 
5.7%
3 864
 
5.7%
2 849
 
5.6%
7 766
 
5.0%
6 721
 
4.7%
5 720
 
4.7%
9 547
 
3.6%
Other values (2) 931
 
6.1%
Hangul
ValueCountFrequency (%)
의 2397
11.7%
정 2397
11.7%
부 2397
11.7%
경 2008
9.8%
도 2008
9.8%
시 2008
9.8%
기 2008
9.8%
동 2008
9.8%
곡 293
 
1.4%
신 271
 
1.3%
Other values (19) 2754
13.4%

위도
Real number (ℝ)

Distinct924
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.740847
Minimum37.688068
Maximum37.767572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:45.076769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.688068
5-th percentile37.711861
Q137.7332
median37.743452
Q337.750596
95-th percentile37.759385
Maximum37.767572
Range0.0795041
Interquartile range (IQR)0.017395975

Descriptive statistics

Standard deviation0.013988794
Coefficient of variation (CV)0.00037065396
Kurtosis1.0784984
Mean37.740847
Median Absolute Deviation (MAD)0.0083574
Skewness-0.97719622
Sum75783.621
Variance0.00019568637
MonotonicityNot monotonic
2023-12-12T11:48:45.233272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7476319 10
 
0.5%
37.7534391 9
 
0.4%
37.7482259 9
 
0.4%
37.7428911 8
 
0.4%
37.756746 8
 
0.4%
37.7573326 8
 
0.4%
37.7430084 7
 
0.3%
37.7571268 7
 
0.3%
37.7529958 7
 
0.3%
37.7520259 7
 
0.3%
Other values (914) 1928
96.0%
ValueCountFrequency (%)
37.6880675 3
0.1%
37.6884878 2
0.1%
37.6896165 1
 
< 0.1%
37.6916799 1
 
< 0.1%
37.6924152 1
 
< 0.1%
37.6924377 1
 
< 0.1%
37.6926818 1
 
< 0.1%
37.6962214 1
 
< 0.1%
37.697274 1
 
< 0.1%
37.6973949 2
0.1%
ValueCountFrequency (%)
37.7675716 2
0.1%
37.7671638 1
< 0.1%
37.7670558 1
< 0.1%
37.767018 1
< 0.1%
37.7666014 2
0.1%
37.7665487 2
0.1%
37.7662783 2
0.1%
37.766139 1
< 0.1%
37.7660756 1
< 0.1%
37.7656029 1
< 0.1%

경도
Real number (ℝ)

Distinct921
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06137
Minimum127.01256
Maximum127.11823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:45.392148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01256
5-th percentile127.031
Q1127.04313
median127.05347
Q3127.0822
95-th percentile127.11046
Maximum127.11823
Range0.1056652
Interquartile range (IQR)0.03907325

Descriptive statistics

Standard deviation0.025277954
Coefficient of variation (CV)0.00019894288
Kurtosis-0.66014326
Mean127.06137
Median Absolute Deviation (MAD)0.0139687
Skewness0.70225124
Sum255139.22
Variance0.00063897497
MonotonicityNot monotonic
2023-12-12T11:48:45.550356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0585226 10
 
0.5%
127.0700902 9
 
0.4%
127.0575614 9
 
0.4%
127.0800936 8
 
0.4%
127.025199 8
 
0.4%
127.0803865 8
 
0.4%
127.0693465 7
 
0.3%
127.0638393 7
 
0.3%
127.062772 7
 
0.3%
127.0585318 7
 
0.3%
Other values (911) 1928
96.0%
ValueCountFrequency (%)
127.0125645 1
< 0.1%
127.0147458 1
< 0.1%
127.0213826 2
0.1%
127.0214945 1
< 0.1%
127.0216104 2
0.1%
127.0217056 1
< 0.1%
127.0220119 1
< 0.1%
127.0221832 2
0.1%
127.0223325 2
0.1%
127.0225906 1
< 0.1%
ValueCountFrequency (%)
127.1182297 3
0.1%
127.1182251 2
0.1%
127.1179914 2
0.1%
127.1179058 4
0.2%
127.1178238 3
0.1%
127.1176742 4
0.2%
127.117639 1
 
< 0.1%
127.1176286 3
0.1%
127.1175089 3
0.1%
127.1174075 2
0.1%

도로안내표지구분
Real number (ℝ)

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0712151
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:45.683271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median5
Q35
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation18.914499
Coefficient of variation (CV)2.3434512
Kurtosis19.152269
Mean8.0712151
Median Absolute Deviation (MAD)1
Skewness4.5887392
Sum16207
Variance357.75825
MonotonicityNot monotonic
2023-12-12T11:48:45.793850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 971
48.4%
3 827
41.2%
6 88
 
4.4%
99 83
 
4.1%
4 27
 
1.3%
1 6
 
0.3%
2 6
 
0.3%
ValueCountFrequency (%)
1 6
 
0.3%
2 6
 
0.3%
3 827
41.2%
4 27
 
1.3%
5 971
48.4%
6 88
 
4.4%
99 83
 
4.1%
ValueCountFrequency (%)
99 83
 
4.1%
6 88
 
4.4%
5 971
48.4%
4 27
 
1.3%
3 827
41.2%
2 6
 
0.3%
1 6
 
0.3%

방향정보1
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.4%
Missing406
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean3.2228464
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:45.900707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum83
Range82
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.389352
Coefficient of variation (CV)3.5339417
Kurtosis43.351033
Mean3.2228464
Median Absolute Deviation (MAD)0
Skewness6.7159819
Sum5163
Variance129.71733
MonotonicityNot monotonic
2023-12-12T11:48:46.002885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 882
43.9%
2 472
23.5%
3 215
 
10.7%
82 17
 
0.8%
81 15
 
0.7%
83 1
 
< 0.1%
(Missing) 406
20.2%
ValueCountFrequency (%)
1 882
43.9%
2 472
23.5%
3 215
 
10.7%
81 15
 
0.7%
82 17
 
0.8%
83 1
 
< 0.1%
ValueCountFrequency (%)
83 1
 
< 0.1%
82 17
 
0.8%
81 15
 
0.7%
3 215
 
10.7%
2 472
23.5%
1 882
43.9%

방향정보1OnTheWay도로종별
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1881 
NR
 
118
UR
 
9

Length

Max length4
Median length4
Mean length3.873506
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> 1881
93.7%
NR 118
 
5.9%
UR 9
 
0.4%

Length

2023-12-12T11:48:46.142214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:46.273176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1881
93.7%
nr 118
 
5.9%
ur 9
 
0.4%

방향정보1OnTheWay노선번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1890 
3
 
60
43
 
33
39
 
25

Length

Max length4
Median length4
Mean length3.8525896
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> 1890
94.1%
3 60
 
3.0%
43 33
 
1.6%
39 25
 
1.2%

Length

2023-12-12T11:48:46.428472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:46.574833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1890
94.1%
3 60
 
3.0%
43 33
 
1.6%
39 25
 
1.2%

방향정보1OnTheWay도로명
Text

MISSING 

Distinct5
Distinct (%)50.0%
Missing1998
Missing (%)99.5%
Memory size15.8 KiB
2023-12-12T11:48:46.711993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.3
Min length3

Characters and Unicode

Total characters33
Distinct characters13
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

Unique4 ?
Unique (%)40.0%

Sample

1st row의정로
2nd row신흥로
3rd row신흥로
4th row신흥로
5th row신흥로
ValueCountFrequency (%)
신흥로 6
60.0%
의정로 1
 
10.0%
민락로 1
 
10.0%
신곡지하차도 1
 
10.0%
신촌로 1
 
10.0%
2023-12-12T11:48:47.028891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9
27.3%
신 8
24.2%
흥 6
18.2%
의 1
 
3.0%
정 1
 
3.0%
민 1
 
3.0%
락 1
 
3.0%
곡 1
 
3.0%
지 1
 
3.0%
하 1
 
3.0%
Other values (3) 3
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9
27.3%
신 8
24.2%
흥 6
18.2%
의 1
 
3.0%
정 1
 
3.0%
민 1
 
3.0%
락 1
 
3.0%
곡 1
 
3.0%
지 1
 
3.0%
하 1
 
3.0%
Other values (3) 3
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9
27.3%
신 8
24.2%
흥 6
18.2%
의 1
 
3.0%
정 1
 
3.0%
민 1
 
3.0%
락 1
 
3.0%
곡 1
 
3.0%
지 1
 
3.0%
하 1
 
3.0%
Other values (3) 3
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9
27.3%
신 8
24.2%
흥 6
18.2%
의 1
 
3.0%
정 1
 
3.0%
민 1
 
3.0%
락 1
 
3.0%
곡 1
 
3.0%
지 1
 
3.0%
하 1
 
3.0%
Other values (3) 3
 
9.1%

방향정보1ToTheWay도로종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1588 
NR
306 
ER
 
108
UR
 
4
RR
 
2

Length

Max length4
Median length4
Mean length3.5816733
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
79.1%
NR 306
 
15.2%
ER 108
 
5.4%
UR 4
 
0.2%
RR 2
 
0.1%

Length

2023-12-12T11:48:47.177621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:47.367336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
79.1%
nr 306
 
15.2%
er 108
 
5.4%
ur 4
 
0.2%
rr 2
 
0.1%

방향정보1ToTheWay노선번호
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1590 
43
 
159
100
 
96
3
 
88
39
 
43
Other values (7)
 
32

Length

Max length5
Median length4
Mean length3.6085657
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row100
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1590
79.2%
43 159
 
7.9%
100 96
 
4.8%
3 88
 
4.4%
39 43
 
2.1%
29 14
 
0.7%
39, 3 8
 
0.4%
43, 3 3
 
0.1%
61 2
 
0.1%
98 2
 
0.1%
Other values (2) 3
 
0.1%

Length

2023-12-12T11:48:47.535126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1590
78.6%
43 163
 
8.1%
3 102
 
5.0%
100 96
 
4.7%
39 53
 
2.6%
29 14
 
0.7%
61 2
 
0.1%
98 2
 
0.1%

방향정보1ToTheWay도로명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2007
Missing (%)> 99.9%
Memory size15.8 KiB
2023-12-12T11:48:47.643767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
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 row호국로
ValueCountFrequency (%)
호국로 1
100.0%
2023-12-12T11:48:47.889992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 1
33.3%
국 1
33.3%
로 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 1
33.3%
국 1
33.3%
로 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 1
33.3%
국 1
33.3%
로 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 1
33.3%
국 1
33.3%
로 1
33.3%

방향정보1원거리안내지명
Text

MISSING 

Distinct111
Distinct (%)19.2%
Missing1431
Missing (%)71.3%
Memory size15.8 KiB
2023-12-12T11:48:48.201128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length4.5181976
Min length2

Characters and Unicode

Total characters2607
Distinct characters146
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)7.8%

Sample

1st row경찰서, 흥선역
2nd row의정부육아종합지원센터
3rd row세무서
4th row서울, 남양주
5th row의정부육아종합지원센터
ValueCountFrequency (%)
서울 148
20.8%
포천 91
12.8%
양주 64
 
9.0%
고양 57
 
8.0%
남양주 54
 
7.6%
경기도청북부청사 23
 
3.2%
동두천 16
 
2.2%
시청 16
 
2.2%
시의회 11
 
1.5%
북부청사 10
 
1.4%
Other values (93) 222
31.2%
2023-12-12T11:48:48.634403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 181
 
6.9%
서 163
 
6.3%
울 148
 
5.7%
135
 
5.2%
주 128
 
4.9%
, 114
 
4.4%
천 109
 
4.2%
청 103
 
4.0%
부 97
 
3.7%
포 91
 
3.5%
Other values (136) 1338
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2313
88.7%
Space Separator 135
 
5.2%
Other Punctuation 118
 
4.5%
Uppercase Letter 14
 
0.5%
Decimal Number 11
 
0.4%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 181
 
7.8%
서 163
 
7.0%
울 148
 
6.4%
주 128
 
5.5%
천 109
 
4.7%
청 103
 
4.5%
부 97
 
4.2%
포 91
 
3.9%
의 68
 
2.9%
고 66
 
2.9%
Other values (122) 1159
50.1%
Other Punctuation
ValueCountFrequency (%)
, 114
96.6%
& 2
 
1.7%
. 1
 
0.8%
/ 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
I 5
35.7%
C 5
35.7%
S 2
 
14.3%
E 2
 
14.3%
Decimal Number
ValueCountFrequency (%)
2 9
81.8%
5 1
 
9.1%
3 1
 
9.1%
Space Separator
ValueCountFrequency (%)
135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2313
88.7%
Common 280
 
10.7%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 181
 
7.8%
서 163
 
7.0%
울 148
 
6.4%
주 128
 
5.5%
천 109
 
4.7%
청 103
 
4.5%
부 97
 
4.2%
포 91
 
3.9%
의 68
 
2.9%
고 66
 
2.9%
Other values (122) 1159
50.1%
Common
ValueCountFrequency (%)
135
48.2%
, 114
40.7%
2 9
 
3.2%
( 8
 
2.9%
) 8
 
2.9%
& 2
 
0.7%
. 1
 
0.4%
5 1
 
0.4%
3 1
 
0.4%
/ 1
 
0.4%
Latin
ValueCountFrequency (%)
I 5
35.7%
C 5
35.7%
S 2
 
14.3%
E 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2313
88.7%
ASCII 294
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 181
 
7.8%
서 163
 
7.0%
울 148
 
6.4%
주 128
 
5.5%
천 109
 
4.7%
청 103
 
4.5%
부 97
 
4.2%
포 91
 
3.9%
의 68
 
2.9%
고 66
 
2.9%
Other values (122) 1159
50.1%
ASCII
ValueCountFrequency (%)
135
45.9%
, 114
38.8%
2 9
 
3.1%
( 8
 
2.7%
) 8
 
2.7%
I 5
 
1.7%
C 5
 
1.7%
S 2
 
0.7%
& 2
 
0.7%
E 2
 
0.7%
Other values (4) 4
 
1.4%

방향정보1근거리안내지명(1)
Text

MISSING 

Distinct425
Distinct (%)24.1%
Missing243
Missing (%)12.1%
Memory size15.8 KiB
2023-12-12T11:48:48.916148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length6.3807365
Min length2

Characters and Unicode

Total characters11262
Distinct characters274
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)8.3%

Sample

1st row의정부의료원
2nd row경전철의정부역, 보건소
3rd row경전철 의정부역
4th row호원IC
5th row시청, 시의회
ValueCountFrequency (%)
시청 50
 
2.3%
의정부ic 44
 
2.1%
의정부소방서 42
 
2.0%
경기도청북부청사 42
 
2.0%
경기도북부소방재난본부 42
 
2.0%
의정부시 38
 
1.8%
의정부역 34
 
1.6%
시의회 33
 
1.5%
행정복지센터 29
 
1.4%
경기북부경찰청 29
 
1.4%
Other values (402) 1760
82.1%
2023-12-12T11:48:49.466704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 554
 
4.9%
정 404
 
3.6%
의 395
 
3.5%
로 395
 
3.5%
378
 
3.4%
동 337
 
3.0%
청 333
 
3.0%
경 244
 
2.2%
터 226
 
2.0%
시 213
 
1.9%
Other values (264) 7783
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10069
89.4%
Space Separator 378
 
3.4%
Decimal Number 308
 
2.7%
Uppercase Letter 238
 
2.1%
Other Punctuation 194
 
1.7%
Open Punctuation 36
 
0.3%
Close Punctuation 36
 
0.3%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 554
 
5.5%
정 404
 
4.0%
의 395
 
3.9%
로 395
 
3.9%
동 337
 
3.3%
청 333
 
3.3%
경 244
 
2.4%
터 226
 
2.2%
시 213
 
2.1%
지 207
 
2.1%
Other values (242) 6761
67.1%
Decimal Number
ValueCountFrequency (%)
2 94
30.5%
1 61
19.8%
3 54
17.5%
4 28
 
9.1%
9 18
 
5.8%
5 18
 
5.8%
8 11
 
3.6%
0 10
 
3.2%
7 8
 
2.6%
6 6
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
C 114
47.9%
I 112
47.1%
K 6
 
2.5%
T 6
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
c 1
33.3%
m 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 190
97.9%
. 4
 
2.1%
Space Separator
ValueCountFrequency (%)
378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10045
89.2%
Common 952
 
8.5%
Latin 241
 
2.1%
Han 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 554
 
5.5%
정 404
 
4.0%
의 395
 
3.9%
로 395
 
3.9%
동 337
 
3.4%
청 333
 
3.3%
경 244
 
2.4%
터 226
 
2.2%
시 213
 
2.1%
지 207
 
2.1%
Other values (230) 6737
67.1%
Common
ValueCountFrequency (%)
378
39.7%
, 190
20.0%
2 94
 
9.9%
1 61
 
6.4%
3 54
 
5.7%
( 36
 
3.8%
) 36
 
3.8%
4 28
 
2.9%
9 18
 
1.9%
5 18
 
1.9%
Other values (5) 39
 
4.1%
Han
ValueCountFrequency (%)
口 2
8.3%
入 2
8.3%
崔 2
8.3%
域 2
8.3%
全 2
8.3%
州 2
8.3%
氏 2
8.3%
郡 2
8.3%
事 2
8.3%
公 2
8.3%
Other values (2) 4
16.7%
Latin
ValueCountFrequency (%)
C 114
47.3%
I 112
46.5%
K 6
 
2.5%
T 6
 
2.5%
i 1
 
0.4%
c 1
 
0.4%
m 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10045
89.2%
ASCII 1193
 
10.6%
CJK 24
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 554
 
5.5%
정 404
 
4.0%
의 395
 
3.9%
로 395
 
3.9%
동 337
 
3.4%
청 333
 
3.3%
경 244
 
2.4%
터 226
 
2.2%
시 213
 
2.1%
지 207
 
2.1%
Other values (230) 6737
67.1%
ASCII
ValueCountFrequency (%)
378
31.7%
, 190
15.9%
C 114
 
9.6%
I 112
 
9.4%
2 94
 
7.9%
1 61
 
5.1%
3 54
 
4.5%
( 36
 
3.0%
) 36
 
3.0%
4 28
 
2.3%
Other values (12) 90
 
7.5%
CJK
ValueCountFrequency (%)
口 2
8.3%
入 2
8.3%
崔 2
8.3%
域 2
8.3%
全 2
8.3%
州 2
8.3%
氏 2
8.3%
郡 2
8.3%
事 2
8.3%
公 2
8.3%
Other values (2) 4
16.7%

방향정보1근거리안내지명(2)
Text

MISSING 

Distinct78
Distinct (%)47.0%
Missing1842
Missing (%)91.7%
Memory size15.8 KiB
2023-12-12T11:48:49.777685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.373494
Min length2

Characters and Unicode

Total characters1224
Distinct characters125
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)24.1%

Sample

1st row의정부2동주민센터
2nd row경기도일자리재단
3rd rowKBS 의정부지국
4th row의정부역
5th row경기도일자리재단
ValueCountFrequency (%)
성모병원 21
 
9.5%
시의회 13
 
5.9%
시청 12
 
5.4%
의정부역 8
 
3.6%
경기도교육청북부청사 7
 
3.2%
을지대병원 6
 
2.7%
경기북부경찰청 6
 
2.7%
부대찌개거리 5
 
2.3%
법원 4
 
1.8%
검찰청 4
 
1.8%
Other values (71) 136
61.3%
2023-12-12T11:48:50.242686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 65
 
5.3%
청 62
 
5.1%
56
 
4.6%
의 52
 
4.2%
정 45
 
3.7%
, 43
 
3.5%
시 36
 
2.9%
원 35
 
2.9%
지 34
 
2.8%
병 34
 
2.8%
Other values (115) 762
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1073
87.7%
Space Separator 56
 
4.6%
Other Punctuation 43
 
3.5%
Uppercase Letter 30
 
2.5%
Decimal Number 14
 
1.1%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 65
 
6.1%
청 62
 
5.8%
의 52
 
4.8%
정 45
 
4.2%
시 36
 
3.4%
원 35
 
3.3%
지 34
 
3.2%
병 34
 
3.2%
경 34
 
3.2%
역 31
 
2.9%
Other values (103) 645
60.1%
Uppercase Letter
ValueCountFrequency (%)
K 7
23.3%
I 6
20.0%
C 6
20.0%
S 4
13.3%
B 4
13.3%
T 3
10.0%
Decimal Number
ValueCountFrequency (%)
2 9
64.3%
1 5
35.7%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1073
87.7%
Common 121
 
9.9%
Latin 30
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 65
 
6.1%
청 62
 
5.8%
의 52
 
4.8%
정 45
 
4.2%
시 36
 
3.4%
원 35
 
3.3%
지 34
 
3.2%
병 34
 
3.2%
경 34
 
3.2%
역 31
 
2.9%
Other values (103) 645
60.1%
Common
ValueCountFrequency (%)
56
46.3%
, 43
35.5%
2 9
 
7.4%
1 5
 
4.1%
( 4
 
3.3%
) 4
 
3.3%
Latin
ValueCountFrequency (%)
K 7
23.3%
I 6
20.0%
C 6
20.0%
S 4
13.3%
B 4
13.3%
T 3
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1073
87.7%
ASCII 151
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 65
 
6.1%
청 62
 
5.8%
의 52
 
4.8%
정 45
 
4.2%
시 36
 
3.4%
원 35
 
3.3%
지 34
 
3.2%
병 34
 
3.2%
경 34
 
3.2%
역 31
 
2.9%
Other values (103) 645
60.1%
ASCII
ValueCountFrequency (%)
56
37.1%
, 43
28.5%
2 9
 
6.0%
K 7
 
4.6%
I 6
 
4.0%
C 6
 
4.0%
1 5
 
3.3%
S 4
 
2.6%
B 4
 
2.6%
( 4
 
2.6%
Other values (2) 7
 
4.6%

방향정보2
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.6%
Missing998
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean4.849505
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:50.358080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile3
Maximum83
Range82
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.932555
Coefficient of variation (CV)2.8729849
Kurtosis26.662947
Mean4.849505
Median Absolute Deviation (MAD)0
Skewness5.3445828
Sum4898
Variance194.11608
MonotonicityNot monotonic
2023-12-12T11:48:50.489164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 609
30.3%
3 347
 
17.3%
1 22
 
1.1%
82 17
 
0.8%
81 11
 
0.5%
83 4
 
0.2%
(Missing) 998
49.7%
ValueCountFrequency (%)
1 22
 
1.1%
2 609
30.3%
3 347
17.3%
81 11
 
0.5%
82 17
 
0.8%
83 4
 
0.2%
ValueCountFrequency (%)
83 4
 
0.2%
82 17
 
0.8%
81 11
 
0.5%
3 347
17.3%
2 609
30.3%
1 22
 
1.1%

방향정보2OnTheWay도로종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1919 
NR
 
77
UR
 
11
ER
 
1

Length

Max length4
Median length4
Mean length3.9113546
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> 1919
95.6%
NR 77
 
3.8%
UR 11
 
0.5%
ER 1
 
< 0.1%

Length

2023-12-12T11:48:50.625420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:50.801309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1919
95.6%
nr 77
 
3.8%
ur 11
 
0.5%
er 1
 
< 0.1%

방향정보2OnTheWay노선번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1930 
3
 
40
43
 
22
39
 
15
100
 
1

Length

Max length4
Median length4
Mean length3.9028884
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> 1930
96.1%
3 40
 
2.0%
43 22
 
1.1%
39 15
 
0.7%
100 1
 
< 0.1%

Length

2023-12-12T11:48:50.973657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:51.121079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1930
96.1%
3 40
 
2.0%
43 22
 
1.1%
39 15
 
0.7%
100 1
 
< 0.1%

방향정보2OnTheWay도로명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1997 
신곡로
 
4
신흥로
 
3
시민로
 
2
신촌로
 
1

Length

Max length4
Median length4
Mean length3.9945219
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> 1997
99.5%
신곡로 4
 
0.2%
신흥로 3
 
0.1%
시민로 2
 
0.1%
신촌로 1
 
< 0.1%
회룡로 1
 
< 0.1%

Length

2023-12-12T11:48:51.249180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:51.393398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1997
99.5%
신곡로 4
 
0.2%
신흥로 3
 
0.1%
시민로 2
 
0.1%
신촌로 1
 
< 0.1%
회룡로 1
 
< 0.1%

방향정보2ToTheWay도로종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1732 
NR
204 
ER
 
67
UR
 
5

Length

Max length4
Median length4
Mean length3.7250996
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1732
86.3%
NR 204
 
10.2%
ER 67
 
3.3%
UR 5
 
0.2%

Length

2023-12-12T11:48:51.548462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:51.691312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1732
86.3%
nr 204
 
10.2%
er 67
 
3.3%
ur 5
 
0.2%

방향정보2ToTheWay노선번호
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1735 
43
 
90
3
 
68
100
 
45
39
 
35
Other values (7)
 
35

Length

Max length5
Median length4
Mean length3.7310757
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1735
86.4%
43 90
 
4.5%
3 68
 
3.4%
100 45
 
2.2%
39 35
 
1.7%
29 23
 
1.1%
39, 3 5
 
0.2%
3, 43 2
 
0.1%
61 2
 
0.1%
43, 3 1
 
< 0.1%
Other values (2) 2
 
0.1%

Length

2023-12-12T11:48:51.830127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1735
86.0%
43 93
 
4.6%
3 77
 
3.8%
100 45
 
2.2%
39 41
 
2.0%
29 23
 
1.1%
61 2
 
0.1%
3/39 1
 
< 0.1%

방향정보2ToTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보2원거리안내지명
Text

MISSING 

Distinct111
Distinct (%)25.0%
Missing1564
Missing (%)77.9%
Memory size15.8 KiB
2023-12-12T11:48:52.041213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.0743243
Min length2

Characters and Unicode

Total characters2253
Distinct characters157
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)10.6%

Sample

1st row서울, 남양주
2nd row세무서
3rd row경찰서, 흥선역
4th row의정부육아종합지원센터
5th row세무서
ValueCountFrequency (%)
서울 70
 
12.8%
고양 43
 
7.8%
포천 38
 
6.9%
양주 36
 
6.6%
남양주 36
 
6.6%
시청 29
 
5.3%
시의회 27
 
4.9%
경기도청북부청사 17
 
3.1%
민락중학교 10
 
1.8%
동두천 9
 
1.6%
Other values (95) 234
42.6%
2023-12-12T11:48:52.448088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 129
 
5.7%
105
 
4.7%
청 100
 
4.4%
, 88
 
3.9%
서 85
 
3.8%
주 81
 
3.6%
부 71
 
3.2%
울 71
 
3.2%
의 68
 
3.0%
시 67
 
3.0%
Other values (147) 1388
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2006
89.0%
Space Separator 105
 
4.7%
Other Punctuation 88
 
3.9%
Decimal Number 22
 
1.0%
Uppercase Letter 16
 
0.7%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 129
 
6.4%
청 100
 
5.0%
서 85
 
4.2%
주 81
 
4.0%
부 71
 
3.5%
울 71
 
3.5%
의 68
 
3.4%
시 67
 
3.3%
동 49
 
2.4%
천 47
 
2.3%
Other values (134) 1238
61.7%
Decimal Number
ValueCountFrequency (%)
6 6
27.3%
7 6
27.3%
1 6
27.3%
2 3
13.6%
3 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
25.0%
I 4
25.0%
V 4
25.0%
T 4
25.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2006
89.0%
Common 231
 
10.3%
Latin 16
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 129
 
6.4%
청 100
 
5.0%
서 85
 
4.2%
주 81
 
4.0%
부 71
 
3.5%
울 71
 
3.5%
의 68
 
3.4%
시 67
 
3.3%
동 49
 
2.4%
천 47
 
2.3%
Other values (134) 1238
61.7%
Common
ValueCountFrequency (%)
105
45.5%
, 88
38.1%
( 8
 
3.5%
) 8
 
3.5%
6 6
 
2.6%
7 6
 
2.6%
1 6
 
2.6%
2 3
 
1.3%
3 1
 
0.4%
Latin
ValueCountFrequency (%)
C 4
25.0%
I 4
25.0%
V 4
25.0%
T 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2006
89.0%
ASCII 247
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 129
 
6.4%
청 100
 
5.0%
서 85
 
4.2%
주 81
 
4.0%
부 71
 
3.5%
울 71
 
3.5%
의 68
 
3.4%
시 67
 
3.3%
동 49
 
2.4%
천 47
 
2.3%
Other values (134) 1238
61.7%
ASCII
ValueCountFrequency (%)
105
42.5%
, 88
35.6%
( 8
 
3.2%
) 8
 
3.2%
6 6
 
2.4%
7 6
 
2.4%
1 6
 
2.4%
C 4
 
1.6%
I 4
 
1.6%
V 4
 
1.6%
Other values (3) 8
 
3.2%

방향정보2근거리안내지명(1)
Text

MISSING 

Distinct294
Distinct (%)30.3%
Missing1037
Missing (%)51.6%
Memory size15.8 KiB
2023-12-12T11:48:52.759012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length5.8599382
Min length2

Characters and Unicode

Total characters5690
Distinct characters236
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

Unique123 ?
Unique (%)12.7%

Sample

1st row의정부역
2nd row시청, 시의회
3rd row의정부 의료원
4th row경전철의정부역, 보건소
5th row시청, 시의회
ValueCountFrequency (%)
의정부역 32
 
2.8%
시청 27
 
2.3%
의정부ic 24
 
2.1%
호국로 20
 
1.7%
동일로 19
 
1.6%
경기도청 19
 
1.6%
북부청사 19
 
1.6%
양주 18
 
1.6%
시의회 18
 
1.6%
경기도청북부청사 18
 
1.6%
Other values (280) 941
81.5%
2023-12-12T11:48:53.258534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 260
 
4.6%
로 223
 
3.9%
의 193
 
3.4%
184
 
3.2%
정 173
 
3.0%
청 171
 
3.0%
동 161
 
2.8%
, 136
 
2.4%
민 120
 
2.1%
지 115
 
2.0%
Other values (226) 3954
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5008
88.0%
Space Separator 184
 
3.2%
Decimal Number 169
 
3.0%
Other Punctuation 137
 
2.4%
Uppercase Letter 136
 
2.4%
Open Punctuation 27
 
0.5%
Close Punctuation 27
 
0.5%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 260
 
5.2%
로 223
 
4.5%
의 193
 
3.9%
정 173
 
3.5%
청 171
 
3.4%
동 161
 
3.2%
민 120
 
2.4%
지 115
 
2.3%
경 111
 
2.2%
교 102
 
2.0%
Other values (203) 3379
67.5%
Decimal Number
ValueCountFrequency (%)
1 44
26.0%
2 43
25.4%
4 20
11.8%
3 18
10.7%
5 16
 
9.5%
9 12
 
7.1%
7 6
 
3.6%
0 5
 
3.0%
6 3
 
1.8%
8 2
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 64
47.1%
I 62
45.6%
T 3
 
2.2%
K 3
 
2.2%
H 2
 
1.5%
L 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 136
99.3%
. 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5008
88.0%
Common 544
 
9.6%
Latin 138
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 260
 
5.2%
로 223
 
4.5%
의 193
 
3.9%
정 173
 
3.5%
청 171
 
3.4%
동 161
 
3.2%
민 120
 
2.4%
지 115
 
2.3%
경 111
 
2.2%
교 102
 
2.0%
Other values (203) 3379
67.5%
Common
ValueCountFrequency (%)
184
33.8%
, 136
25.0%
1 44
 
8.1%
2 43
 
7.9%
( 27
 
5.0%
) 27
 
5.0%
4 20
 
3.7%
3 18
 
3.3%
5 16
 
2.9%
9 12
 
2.2%
Other values (5) 17
 
3.1%
Latin
ValueCountFrequency (%)
C 64
46.4%
I 62
44.9%
T 3
 
2.2%
K 3
 
2.2%
H 2
 
1.4%
L 2
 
1.4%
c 1
 
0.7%
i 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5008
88.0%
ASCII 682
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 260
 
5.2%
로 223
 
4.5%
의 193
 
3.9%
정 173
 
3.5%
청 171
 
3.4%
동 161
 
3.2%
민 120
 
2.4%
지 115
 
2.3%
경 111
 
2.2%
교 102
 
2.0%
Other values (203) 3379
67.5%
ASCII
ValueCountFrequency (%)
184
27.0%
, 136
19.9%
C 64
 
9.4%
I 62
 
9.1%
1 44
 
6.5%
2 43
 
6.3%
( 27
 
4.0%
) 27
 
4.0%
4 20
 
2.9%
3 18
 
2.6%
Other values (13) 57
 
8.4%

방향정보2근거리안내지명(2)
Text

MISSING 

Distinct57
Distinct (%)43.5%
Missing1877
Missing (%)93.5%
Memory size15.8 KiB
2023-12-12T11:48:53.565464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.0687023
Min length3

Characters and Unicode

Total characters926
Distinct characters130
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)18.3%

Sample

1st rowKBS의정부지국
2nd row의정부2동주민센터
3rd row경기도일자리재단
4th rowKBS의정부지국
5th row경기도일자리재단
ValueCountFrequency (%)
동부보건지소 10
 
6.0%
시청 8
 
4.8%
시의회 8
 
4.8%
신한대학교 8
 
4.8%
성모병원 7
 
4.2%
경기도일자리재단 6
 
3.6%
kbs의정부지국 6
 
3.6%
녹양동주민센터 6
 
3.6%
버스터미널 5
 
3.0%
회룡역 4
 
2.4%
Other values (53) 99
59.3%
2023-12-12T11:48:54.064138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 41
 
4.4%
36
 
3.9%
의 34
 
3.7%
지 34
 
3.7%
동 30
 
3.2%
정 28
 
3.0%
청 27
 
2.9%
, 26
 
2.8%
역 25
 
2.7%
원 21
 
2.3%
Other values (120) 624
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 814
87.9%
Space Separator 36
 
3.9%
Uppercase Letter 36
 
3.9%
Other Punctuation 27
 
2.9%
Decimal Number 5
 
0.5%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 41
 
5.0%
의 34
 
4.2%
지 34
 
4.2%
동 30
 
3.7%
정 28
 
3.4%
청 27
 
3.3%
역 25
 
3.1%
원 21
 
2.6%
시 20
 
2.5%
터 19
 
2.3%
Other values (106) 535
65.7%
Uppercase Letter
ValueCountFrequency (%)
K 7
19.4%
C 7
19.4%
B 6
16.7%
S 6
16.7%
I 5
13.9%
T 3
8.3%
V 2
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
. 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
7 2
40.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 814
87.9%
Common 76
 
8.2%
Latin 36
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 41
 
5.0%
의 34
 
4.2%
지 34
 
4.2%
동 30
 
3.7%
정 28
 
3.4%
청 27
 
3.3%
역 25
 
3.1%
원 21
 
2.6%
시 20
 
2.5%
터 19
 
2.3%
Other values (106) 535
65.7%
Common
ValueCountFrequency (%)
36
47.4%
, 26
34.2%
( 4
 
5.3%
) 4
 
5.3%
2 3
 
3.9%
7 2
 
2.6%
. 1
 
1.3%
Latin
ValueCountFrequency (%)
K 7
19.4%
C 7
19.4%
B 6
16.7%
S 6
16.7%
I 5
13.9%
T 3
8.3%
V 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 814
87.9%
ASCII 112
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 41
 
5.0%
의 34
 
4.2%
지 34
 
4.2%
동 30
 
3.7%
정 28
 
3.4%
청 27
 
3.3%
역 25
 
3.1%
원 21
 
2.6%
시 20
 
2.5%
터 19
 
2.3%
Other values (106) 535
65.7%
ASCII
ValueCountFrequency (%)
36
32.1%
, 26
23.2%
K 7
 
6.2%
C 7
 
6.2%
B 6
 
5.4%
S 6
 
5.4%
I 5
 
4.5%
( 4
 
3.6%
) 4
 
3.6%
2 3
 
2.7%
Other values (4) 8
 
7.1%

방향정보3
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.1%
Missing1449
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean6.7620751
Minimum2
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:54.211442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q33
95-th percentile3
Maximum84
Range82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.085142
Coefficient of variation (CV)2.5266122
Kurtosis15.909243
Mean6.7620751
Median Absolute Deviation (MAD)0
Skewness4.224182
Sum3780
Variance291.90207
MonotonicityNot monotonic
2023-12-12T11:48:54.338204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 488
 
24.3%
2 44
 
2.2%
82 15
 
0.7%
84 6
 
0.3%
83 4
 
0.2%
81 2
 
0.1%
(Missing) 1449
72.2%
ValueCountFrequency (%)
2 44
 
2.2%
3 488
24.3%
81 2
 
0.1%
82 15
 
0.7%
83 4
 
0.2%
84 6
 
0.3%
ValueCountFrequency (%)
84 6
 
0.3%
83 4
 
0.2%
82 15
 
0.7%
81 2
 
0.1%
3 488
24.3%
2 44
 
2.2%

방향정보3OnTheWay도로종별
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1948 
NR
 
54
UR
 
6

Length

Max length4
Median length4
Mean length3.940239
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> 1948
97.0%
NR 54
 
2.7%
UR 6
 
0.3%

Length

2023-12-12T11:48:54.496715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:54.619683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1948
97.0%
nr 54
 
2.7%
ur 6
 
0.3%

방향정보3OnTheWay노선번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1953 
3
 
36
39
 
11
43
 
7
61
 
1

Length

Max length4
Median length4
Mean length3.9272908
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> 1953
97.3%
3 36
 
1.8%
39 11
 
0.5%
43 7
 
0.3%
61 1
 
< 0.1%

Length

2023-12-12T11:48:54.745432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:54.864058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1953
97.3%
3 36
 
1.8%
39 11
 
0.5%
43 7
 
0.3%
61 1
 
< 0.1%

방향정보3OnTheWay도로명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing2003
Missing (%)99.8%
Memory size15.8 KiB
2023-12-12T11:48:54.982768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2
Min length3

Characters and Unicode

Total characters16
Distinct characters11
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

Unique3 ?
Unique (%)60.0%

Sample

1st row시민로
2nd row버들개길
3rd row신흥로
4th row시민로
5th row회룡로
ValueCountFrequency (%)
시민로 2
40.0%
버들개길 1
20.0%
신흥로 1
20.0%
회룡로 1
20.0%
2023-12-12T11:48:55.240001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 4
25.0%
시 2
12.5%
민 2
12.5%
버 1
 
6.2%
들 1
 
6.2%
개 1
 
6.2%
길 1
 
6.2%
신 1
 
6.2%
흥 1
 
6.2%
회 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4
25.0%
시 2
12.5%
민 2
12.5%
버 1
 
6.2%
들 1
 
6.2%
개 1
 
6.2%
길 1
 
6.2%
신 1
 
6.2%
흥 1
 
6.2%
회 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4
25.0%
시 2
12.5%
민 2
12.5%
버 1
 
6.2%
들 1
 
6.2%
개 1
 
6.2%
길 1
 
6.2%
신 1
 
6.2%
흥 1
 
6.2%
회 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 4
25.0%
시 2
12.5%
민 2
12.5%
버 1
 
6.2%
들 1
 
6.2%
개 1
 
6.2%
길 1
 
6.2%
신 1
 
6.2%
흥 1
 
6.2%
회 1
 
6.2%

방향정보3ToTheWay도로종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1857 
NR
 
119
ER
 
27
UR
 
3
RR
 
2

Length

Max length4
Median length4
Mean length3.8496016
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1857
92.5%
NR 119
 
5.9%
ER 27
 
1.3%
UR 3
 
0.1%
RR 2
 
0.1%

Length

2023-12-12T11:48:55.407553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:55.549218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1857
92.5%
nr 119
 
5.9%
er 27
 
1.3%
ur 3
 
0.1%
rr 2
 
0.1%

방향정보3ToTheWay노선번호
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1859 
43
 
48
3
 
43
39
 
21
100
 
15
Other values (5)
 
22

Length

Max length5
Median length4
Mean length3.8466135
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1859
92.6%
43 48
 
2.4%
3 43
 
2.1%
39 21
 
1.0%
100 15
 
0.7%
29 13
 
0.6%
43, 3 3
 
0.1%
39, 3 3
 
0.1%
98 2
 
0.1%
61 1
 
< 0.1%

Length

2023-12-12T11:48:55.930783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:56.054761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1859
92.3%
43 51
 
2.5%
3 49
 
2.4%
39 24
 
1.2%
100 15
 
0.7%
29 13
 
0.6%
98 2
 
0.1%
61 1
 
< 0.1%

방향정보3ToTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보3원거리안내지명
Text

MISSING 

Distinct86
Distinct (%)29.0%
Missing1711
Missing (%)85.2%
Memory size15.8 KiB
2023-12-12T11:48:56.294342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length4.8181818
Min length2

Characters and Unicode

Total characters1431
Distinct characters131
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

Unique41 ?
Unique (%)13.8%

Sample

1st row세무서
2nd row서울, 남양주
3rd row의정부육아종합지원센터
4th row경찰서, 흥선역
5th row서울, 남양주
ValueCountFrequency (%)
서울 61
16.9%
양주 34
 
9.4%
고양 27
 
7.5%
남양주 27
 
7.5%
포천 25
 
6.9%
시청 16
 
4.4%
경기도청북부청사 13
 
3.6%
시의회 11
 
3.1%
송산2동주민센터 7
 
1.9%
양지마을 6
 
1.7%
Other values (71) 133
36.9%
2023-12-12T11:48:56.709769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 95
 
6.6%
서 76
 
5.3%
주 71
 
5.0%
63
 
4.4%
울 62
 
4.3%
청 60
 
4.2%
, 54
 
3.8%
부 50
 
3.5%
의 42
 
2.9%
정 33
 
2.3%
Other values (121) 825
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1290
90.1%
Space Separator 63
 
4.4%
Other Punctuation 54
 
3.8%
Decimal Number 12
 
0.8%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 95
 
7.4%
서 76
 
5.9%
주 71
 
5.5%
울 62
 
4.8%
청 60
 
4.7%
부 50
 
3.9%
의 42
 
3.3%
정 33
 
2.6%
고 30
 
2.3%
경 29
 
2.2%
Other values (115) 742
57.5%
Decimal Number
ValueCountFrequency (%)
2 9
75.0%
1 3
 
25.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1290
90.1%
Common 141
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 95
 
7.4%
서 76
 
5.9%
주 71
 
5.5%
울 62
 
4.8%
청 60
 
4.7%
부 50
 
3.9%
의 42
 
3.3%
정 33
 
2.6%
고 30
 
2.3%
경 29
 
2.2%
Other values (115) 742
57.5%
Common
ValueCountFrequency (%)
63
44.7%
, 54
38.3%
2 9
 
6.4%
) 6
 
4.3%
( 6
 
4.3%
1 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1290
90.1%
ASCII 141
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 95
 
7.4%
서 76
 
5.9%
주 71
 
5.5%
울 62
 
4.8%
청 60
 
4.7%
부 50
 
3.9%
의 42
 
3.3%
정 33
 
2.6%
고 30
 
2.3%
경 29
 
2.2%
Other values (115) 742
57.5%
ASCII
ValueCountFrequency (%)
63
44.7%
, 54
38.3%
2 9
 
6.4%
) 6
 
4.3%
( 6
 
4.3%
1 3
 
2.1%

방향정보3근거리안내지명(1)
Text

MISSING 

Distinct187
Distinct (%)35.6%
Missing1483
Missing (%)73.9%
Memory size15.8 KiB
2023-12-12T11:48:57.136251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length6.2609524
Min length2

Characters and Unicode

Total characters3287
Distinct characters206
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)14.3%

Sample

1st row시청, 시의회
2nd row의정부역
3rd row경전철의정부역, 보건소
4th row의정부의료원
5th row의정부역
ValueCountFrequency (%)
의정부역 20
 
3.1%
경기도청 17
 
2.7%
북부청사 17
 
2.7%
시청 16
 
2.5%
의정부ic 15
 
2.3%
시의회 15
 
2.3%
경기도청북부청사 14
 
2.2%
민락ic 13
 
2.0%
서울 12
 
1.9%
버스터미널 11
 
1.7%
Other values (179) 489
76.5%
2023-12-12T11:48:57.703219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 159
 
4.8%
청 121
 
3.7%
114
 
3.5%
의 111
 
3.4%
정 96
 
2.9%
지 91
 
2.8%
, 80
 
2.4%
동 78
 
2.4%
경 74
 
2.3%
역 73
 
2.2%
Other values (196) 2290
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2885
87.8%
Space Separator 114
 
3.5%
Uppercase Letter 88
 
2.7%
Decimal Number 86
 
2.6%
Other Punctuation 80
 
2.4%
Open Punctuation 17
 
0.5%
Close Punctuation 17
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 159
 
5.5%
청 121
 
4.2%
의 111
 
3.8%
정 96
 
3.3%
지 91
 
3.2%
동 78
 
2.7%
경 74
 
2.6%
역 73
 
2.5%
민 72
 
2.5%
교 68
 
2.4%
Other values (177) 1942
67.3%
Decimal Number
ValueCountFrequency (%)
2 26
30.2%
1 25
29.1%
5 9
 
10.5%
3 7
 
8.1%
4 7
 
8.1%
7 4
 
4.7%
0 4
 
4.7%
9 3
 
3.5%
6 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
I 41
46.6%
C 41
46.6%
L 2
 
2.3%
H 2
 
2.3%
K 1
 
1.1%
T 1
 
1.1%
Space Separator
ValueCountFrequency (%)
114
100.0%
Other Punctuation
ValueCountFrequency (%)
, 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2885
87.8%
Common 314
 
9.6%
Latin 88
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 159
 
5.5%
청 121
 
4.2%
의 111
 
3.8%
정 96
 
3.3%
지 91
 
3.2%
동 78
 
2.7%
경 74
 
2.6%
역 73
 
2.5%
민 72
 
2.5%
교 68
 
2.4%
Other values (177) 1942
67.3%
Common
ValueCountFrequency (%)
114
36.3%
, 80
25.5%
2 26
 
8.3%
1 25
 
8.0%
( 17
 
5.4%
) 17
 
5.4%
5 9
 
2.9%
3 7
 
2.2%
4 7
 
2.2%
7 4
 
1.3%
Other values (3) 8
 
2.5%
Latin
ValueCountFrequency (%)
I 41
46.6%
C 41
46.6%
L 2
 
2.3%
H 2
 
2.3%
K 1
 
1.1%
T 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2885
87.8%
ASCII 402
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 159
 
5.5%
청 121
 
4.2%
의 111
 
3.8%
정 96
 
3.3%
지 91
 
3.2%
동 78
 
2.7%
경 74
 
2.6%
역 73
 
2.5%
민 72
 
2.5%
교 68
 
2.4%
Other values (177) 1942
67.3%
ASCII
ValueCountFrequency (%)
114
28.4%
, 80
19.9%
I 41
 
10.2%
C 41
 
10.2%
2 26
 
6.5%
1 25
 
6.2%
( 17
 
4.2%
) 17
 
4.2%
5 9
 
2.2%
3 7
 
1.7%
Other values (9) 25
 
6.2%

방향정보3근거리안내지명(2)
Text

MISSING 

Distinct53
Distinct (%)60.9%
Missing1921
Missing (%)95.7%
Memory size15.8 KiB
2023-12-12T11:48:58.007962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length6.8965517
Min length3

Characters and Unicode

Total characters600
Distinct characters105
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

Unique34 ?
Unique (%)39.1%

Sample

1st rowKBS의정부지국
2nd row경기도일자리재단
3rd row의정부2동주민센터
4th rowKBS의정부지국
5th row의정부2동주민센터
ValueCountFrequency (%)
성모병원 7
 
6.3%
kbs의정부지국 6
 
5.4%
시청 5
 
4.5%
시의회 5
 
4.5%
동부보건지소 5
 
4.5%
회룡역 4
 
3.6%
을지대병원 4
 
3.6%
버스터미널 4
 
3.6%
경찰서 3
 
2.7%
중앙역 3
 
2.7%
Other values (45) 65
58.6%
2023-12-12T11:48:58.413325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 32
 
5.3%
청 24
 
4.0%
24
 
4.0%
의 22
 
3.7%
지 22
 
3.7%
정 19
 
3.2%
경 19
 
3.2%
, 19
 
3.2%
원 17
 
2.8%
역 17
 
2.8%
Other values (95) 385
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
87.8%
Space Separator 24
 
4.0%
Uppercase Letter 24
 
4.0%
Other Punctuation 19
 
3.2%
Decimal Number 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 32
 
6.1%
청 24
 
4.6%
의 22
 
4.2%
지 22
 
4.2%
정 19
 
3.6%
경 19
 
3.6%
원 17
 
3.2%
역 17
 
3.2%
동 16
 
3.0%
시 15
 
2.8%
Other values (85) 324
61.5%
Uppercase Letter
ValueCountFrequency (%)
K 7
29.2%
S 6
25.0%
B 6
25.0%
T 3
12.5%
V 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 2
33.3%
7 1
 
16.7%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
87.8%
Common 49
 
8.2%
Latin 24
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 32
 
6.1%
청 24
 
4.6%
의 22
 
4.2%
지 22
 
4.2%
정 19
 
3.6%
경 19
 
3.6%
원 17
 
3.2%
역 17
 
3.2%
동 16
 
3.0%
시 15
 
2.8%
Other values (85) 324
61.5%
Common
ValueCountFrequency (%)
24
49.0%
, 19
38.8%
2 3
 
6.1%
1 2
 
4.1%
7 1
 
2.0%
Latin
ValueCountFrequency (%)
K 7
29.2%
S 6
25.0%
B 6
25.0%
T 3
12.5%
V 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
87.8%
ASCII 73
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 32
 
6.1%
청 24
 
4.6%
의 22
 
4.2%
지 22
 
4.2%
정 19
 
3.6%
경 19
 
3.6%
원 17
 
3.2%
역 17
 
3.2%
동 16
 
3.0%
시 15
 
2.8%
Other values (85) 324
61.5%
ASCII
ValueCountFrequency (%)
24
32.9%
, 19
26.0%
K 7
 
9.6%
S 6
 
8.2%
B 6
 
8.2%
T 3
 
4.1%
2 3
 
4.1%
1 2
 
2.7%
V 2
 
2.7%
7 1
 
1.4%

방향정보4
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)6.9%
Missing1921
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean26.804598
Minimum2
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:48:58.554292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q381
95-th percentile84
Maximum84
Range82
Interquartile range (IQR)78

Descriptive statistics

Standard deviation36.703349
Coefficient of variation (CV)1.369293
Kurtosis-1.2261137
Mean26.804598
Median Absolute Deviation (MAD)0
Skewness0.89516681
Sum2332
Variance1347.1358
MonotonicityNot monotonic
2023-12-12T11:48:58.673892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 60
 
3.0%
83 9
 
0.4%
84 7
 
0.3%
81 5
 
0.2%
82 5
 
0.2%
2 1
 
< 0.1%
(Missing) 1921
95.7%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 60
3.0%
81 5
 
0.2%
82 5
 
0.2%
83 9
 
0.4%
84 7
 
0.3%
ValueCountFrequency (%)
84 7
 
0.3%
83 9
 
0.4%
82 5
 
0.2%
81 5
 
0.2%
3 60
3.0%
2 1
 
< 0.1%

방향정보4OnTheWay도로종별
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
2005 
NR
 
3

Length

Max length4
Median length4
Mean length3.997012
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> 2005
99.9%
NR 3
 
0.1%

Length

2023-12-12T11:48:58.832973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:58.974226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2005
99.9%
nr 3
 
0.1%

방향정보4OnTheWay노선번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
2006 
3
 
1
39
 
1

Length

Max length4
Median length4
Mean length3.99751
Min length1

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> 2006
99.9%
3 1
 
< 0.1%
39 1
 
< 0.1%

Length

2023-12-12T11:48:59.104553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:59.214030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2006
99.9%
3 1
 
< 0.1%
39 1
 
< 0.1%

방향정보4OnTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보4ToTheWay도로종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1972 
ER
 
19
NR
 
15
UR
 
2

Length

Max length4
Median length4
Mean length3.9641434
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> 1972
98.2%
ER 19
 
0.9%
NR 15
 
0.7%
UR 2
 
0.1%

Length

2023-12-12T11:48:59.339228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:59.507509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1972
98.2%
er 19
 
0.9%
nr 15
 
0.7%
ur 2
 
0.1%

방향정보4ToTheWay노선번호
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1958 
29
 
16
43
 
15
3
 
6
100
 
5
Other values (3)
 
8

Length

Max length5
Median length4
Mean length3.9511952
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> 1958
97.5%
29 16
 
0.8%
43 15
 
0.7%
3 6
 
0.3%
100 5
 
0.2%
39 4
 
0.2%
61 3
 
0.1%
43, 3 1
 
< 0.1%

Length

2023-12-12T11:48:59.644848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:59.785014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1958
97.5%
29 16
 
0.8%
43 16
 
0.8%
3 7
 
0.3%
100 5
 
0.2%
39 4
 
0.2%
61 3
 
0.1%

방향정보4ToTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보4원거리안내지명
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1968 
포천
 
7
경기도청북부청사
 
6
남양주
 
4
서울
 
3
Other values (13)
 
20

Length

Max length8
Median length4
Mean length4.000996
Min length2

Unique

Unique7 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1968
98.0%
포천 7
 
0.3%
경기도청북부청사 6
 
0.3%
남양주 4
 
0.2%
서울 3
 
0.1%
양주 3
 
0.1%
녹양역 2
 
0.1%
서울, 남양주 2
 
0.1%
용암마을 2
 
0.1%
종합운동장 2
 
0.1%
Other values (8) 9
 
0.4%

Length

2023-12-12T11:48:59.938621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1968
97.9%
포천 8
 
0.4%
경기도청북부청사 6
 
0.3%
남양주 6
 
0.3%
서울 5
 
0.2%
양주 3
 
0.1%
녹양역 2
 
0.1%
용암마을 2
 
0.1%
종합운동장 2
 
0.1%
고양 2
 
0.1%
Other values (6) 7
 
0.3%

방향정보4근거리안내지명(1)
Categorical

IMBALANCE 

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
1923 
민락IC
 
16
송산2동주민센터
 
5
경기도청 북부청사
 
5
포천
 
4
Other values (37)
 
55

Length

Max length17
Median length4
Mean length4.0542829
Min length2

Unique

Unique23 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1923
95.8%
민락IC 16
 
0.8%
송산2동주민센터 5
 
0.2%
경기도청 북부청사 5
 
0.2%
포천 4
 
0.2%
부용마을 3
 
0.1%
만가대 3
 
0.1%
용암마을 3
 
0.1%
동부간선도로 3
 
0.1%
곤제역 2
 
0.1%
Other values (32) 41
 
2.0%

Length

2023-12-12T11:49:00.076788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1923
95.3%
민락ic 16
 
0.8%
송산2동주민센터 5
 
0.2%
경기도청 5
 
0.2%
북부청사 5
 
0.2%
포천 4
 
0.2%
부용마을 3
 
0.1%
만가대 3
 
0.1%
용암마을 3
 
0.1%
동부간선도로 3
 
0.1%
Other values (37) 47
 
2.3%

방향정보4근거리안내지명(2)
Text

MISSING 

Distinct8
Distinct (%)80.0%
Missing1998
Missing (%)99.5%
Memory size15.8 KiB
2023-12-12T11:49:00.264730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length7.4
Min length3

Characters and Unicode

Total characters74
Distinct characters38
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

Unique6 ?
Unique (%)60.0%

Sample

1st row시청, 시의회
2nd row의정부 육아종합지원센터
3rd row세무서
4th row시청, 시의회
5th row흥선동 행정복지센터
ValueCountFrequency (%)
시청 2
13.3%
시의회 2
13.3%
경기북부경찰청 2
13.3%
의정부 1
6.7%
육아종합지원센터 1
6.7%
세무서 1
6.7%
흥선동 1
6.7%
행정복지센터 1
6.7%
부대찌개거리 1
6.7%
의정부역 1
6.7%
Other values (2) 2
13.3%
2023-12-12T11:49:00.554096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
6.8%
부 5
 
6.8%
시 4
 
5.4%
의 4
 
5.4%
경 4
 
5.4%
청 4
 
5.4%
지 3
 
4.1%
, 3
 
4.1%
정 3
 
4.1%
원 3
 
4.1%
Other values (28) 36
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
89.2%
Space Separator 5
 
6.8%
Other Punctuation 3
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 5
 
7.6%
시 4
 
6.1%
의 4
 
6.1%
경 4
 
6.1%
청 4
 
6.1%
지 3
 
4.5%
정 3
 
4.5%
원 3
 
4.5%
병 2
 
3.0%
대 2
 
3.0%
Other values (26) 32
48.5%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
89.2%
Common 8
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 5
 
7.6%
시 4
 
6.1%
의 4
 
6.1%
경 4
 
6.1%
청 4
 
6.1%
지 3
 
4.5%
정 3
 
4.5%
원 3
 
4.5%
병 2
 
3.0%
대 2
 
3.0%
Other values (26) 32
48.5%
Common
ValueCountFrequency (%)
5
62.5%
, 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
89.2%
ASCII 8
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5
62.5%
, 3
37.5%
Hangul
ValueCountFrequency (%)
부 5
 
7.6%
시 4
 
6.1%
의 4
 
6.1%
경 4
 
6.1%
청 4
 
6.1%
지 3
 
4.5%
정 3
 
4.5%
원 3
 
4.5%
병 2
 
3.0%
대 2
 
3.0%
Other values (26) 32
48.5%

방향정보5
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
2003 
84
 
2
83
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.9945219
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> 2003
99.8%
84 2
 
0.1%
83 2
 
0.1%
3 1
 
< 0.1%

Length

2023-12-12T11:49:00.691731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:49:00.804765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2003
99.8%
84 2
 
0.1%
83 2
 
0.1%
3 1
 
< 0.1%

방향정보5OnTheWay도로종별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보5OnTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보5OnTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보5ToTheWay도로종별
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2007
Missing (%)> 99.9%
Memory size15.8 KiB
2023-12-12T11:49:00.872034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 rowNR
ValueCountFrequency (%)
nr 1
100.0%
2023-12-12T11:49:01.096178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1
50.0%
R 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
R 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1
50.0%
R 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1
50.0%
R 1
50.0%

방향정보5ToTheWay노선번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
2007 
3
 
1

Length

Max length4
Median length4
Mean length3.998506
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> 2007
> 99.9%
3 1
 
< 0.1%

Length

2023-12-12T11:49:01.279194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:49:01.445034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2007
> 99.9%
3 1
 
< 0.1%

방향정보5ToTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보5원거리안내지명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing2006
Missing (%)99.9%
Memory size15.8 KiB
2023-12-12T11:49:01.616721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6
Min length5

Characters and Unicode

Total characters12
Distinct characters12
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

Unique2 ?
Unique (%)100.0%

Sample

1st row포천, 남양주
2nd row종합운동장
ValueCountFrequency (%)
포천 1
33.3%
남양주 1
33.3%
종합운동장 1
33.3%
2023-12-12T11:49:01.989619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
포 1
8.3%
천 1
8.3%
, 1
8.3%
1
8.3%
남 1
8.3%
양 1
8.3%
주 1
8.3%
종 1
8.3%
합 1
8.3%
운 1
8.3%
Other values (2) 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
83.3%
Other Punctuation 1
 
8.3%
Space Separator 1
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 1
10.0%
천 1
10.0%
남 1
10.0%
양 1
10.0%
주 1
10.0%
종 1
10.0%
합 1
10.0%
운 1
10.0%
동 1
10.0%
장 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
83.3%
Common 2
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 1
10.0%
천 1
10.0%
남 1
10.0%
양 1
10.0%
주 1
10.0%
종 1
10.0%
합 1
10.0%
운 1
10.0%
동 1
10.0%
장 1
10.0%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
83.3%
ASCII 2
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
포 1
10.0%
천 1
10.0%
남 1
10.0%
양 1
10.0%
주 1
10.0%
종 1
10.0%
합 1
10.0%
운 1
10.0%
동 1
10.0%
장 1
10.0%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

방향정보5근거리안내지명(1)
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing2003
Missing (%)99.8%
Memory size15.8 KiB
2023-12-12T11:49:02.174009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.8
Min length4

Characters and Unicode

Total characters34
Distinct characters23
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

Unique3 ?
Unique (%)60.0%

Sample

1st row경기도청 북부청사
2nd row의정부의료원
3rd row지하상가
4th row흥선동행정복지센터
5th row의정부의료원
ValueCountFrequency (%)
의정부의료원 2
33.3%
경기도청 1
16.7%
북부청사 1
16.7%
지하상가 1
16.7%
흥선동행정복지센터 1
16.7%
2023-12-12T11:49:02.476535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 4
 
11.8%
부 3
 
8.8%
정 3
 
8.8%
료 2
 
5.9%
원 2
 
5.9%
청 2
 
5.9%
지 2
 
5.9%
가 1
 
2.9%
센 1
 
2.9%
복 1
 
2.9%
Other values (13) 13
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
97.1%
Space Separator 1
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4
 
12.1%
부 3
 
9.1%
정 3
 
9.1%
료 2
 
6.1%
원 2
 
6.1%
청 2
 
6.1%
지 2
 
6.1%
가 1
 
3.0%
센 1
 
3.0%
복 1
 
3.0%
Other values (12) 12
36.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
97.1%
Common 1
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4
 
12.1%
부 3
 
9.1%
정 3
 
9.1%
료 2
 
6.1%
원 2
 
6.1%
청 2
 
6.1%
지 2
 
6.1%
가 1
 
3.0%
센 1
 
3.0%
복 1
 
3.0%
Other values (12) 12
36.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
97.1%
ASCII 1
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 4
 
12.1%
부 3
 
9.1%
정 3
 
9.1%
료 2
 
6.1%
원 2
 
6.1%
청 2
 
6.1%
지 2
 
6.1%
가 1
 
3.0%
센 1
 
3.0%
복 1
 
3.0%
Other values (12) 12
36.4%
ASCII
ValueCountFrequency (%)
1
100.0%

방향정보5근거리안내지명(2)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2007
Missing (%)> 99.9%
Memory size15.8 KiB
2023-12-12T11:49:02.641850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
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

Unique1 ?
Unique (%)100.0%

Sample

1st row흥선역, 경찰서
ValueCountFrequency (%)
흥선역 1
50.0%
경찰서 1
50.0%
2023-12-12T11:49:02.930098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
흥 1
12.5%
선 1
12.5%
역 1
12.5%
, 1
12.5%
1
12.5%
경 1
12.5%
찰 1
12.5%
서 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
75.0%
Other Punctuation 1
 
12.5%
Space Separator 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 1
16.7%
선 1
16.7%
역 1
16.7%
경 1
16.7%
찰 1
16.7%
서 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
75.0%
Common 2
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 1
16.7%
선 1
16.7%
역 1
16.7%
경 1
16.7%
찰 1
16.7%
서 1
16.7%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
75.0%
ASCII 2
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
흥 1
16.7%
선 1
16.7%
역 1
16.7%
경 1
16.7%
찰 1
16.7%
서 1
16.7%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

방향정보6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6OnTheWay도로종별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6OnTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6OnTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6ToTheWay도로종별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6ToTheWay노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6ToTheWay도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6원거리안내지명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6근거리안내지명(1)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

방향정보6근거리안내지명(2)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2008
Missing (%)100.0%
Memory size17.8 KiB

지주형식
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.076195
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T11:49:03.064714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)95

Descriptive statistics

Standard deviation47.264341
Coefficient of variation (CV)0.85816279
Kurtosis-1.9785818
Mean55.076195
Median Absolute Deviation (MAD)0
Skewness-0.14719715
Sum110593
Variance2233.918
MonotonicityNot monotonic
2023-12-12T11:49:03.170346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 1077
53.6%
4 324
 
16.1%
6 320
 
15.9%
3 223
 
11.1%
1 43
 
2.1%
2 21
 
1.0%
ValueCountFrequency (%)
1 43
 
2.1%
2 21
 
1.0%
3 223
 
11.1%
4 324
 
16.1%
6 320
 
15.9%
99 1077
53.6%
ValueCountFrequency (%)
99 1077
53.6%
6 320
 
15.9%
4 324
 
16.1%
3 223
 
11.1%
2 21
 
1.0%
1 43
 
2.1%

이미지정보
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
http://www.roadsign.go.kr/main_form.asp
2008 

Length

Max length39
Median length39
Mean length39
Min length39

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.roadsign.go.kr/main_form.asp
2nd rowhttp://www.roadsign.go.kr/main_form.asp
3rd rowhttp://www.roadsign.go.kr/main_form.asp
4th rowhttp://www.roadsign.go.kr/main_form.asp
5th rowhttp://www.roadsign.go.kr/main_form.asp

Common Values

ValueCountFrequency (%)
http://www.roadsign.go.kr/main_form.asp 2008
100.0%

Length

2023-12-12T11:49:03.297240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:49:03.396881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://www.roadsign.go.kr/main_form.asp 2008
100.0%

설치일자
Date

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
Minimum2008-04-01 00:00:00
Maximum2019-04-01 00:00:00
2023-12-12T11:49:03.479841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:49:03.582964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
경기도 의정부시청
2008 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 의정부시청
2nd row경기도 의정부시청
3rd row경기도 의정부시청
4th row경기도 의정부시청
5th row경기도 의정부시청

Common Values

ValueCountFrequency (%)
경기도 의정부시청 2008
100.0%

Length

2023-12-12T11:49:03.709221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:49:03.794215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 2008
50.0%
의정부시청 2008
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
031-828-2114
2008 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-828-2114
2nd row031-828-2114
3rd row031-828-2114
4th row031-828-2114
5th row031-828-2114

Common Values

ValueCountFrequency (%)
031-828-2114 2008
100.0%

Length

2023-12-12T11:49:03.893609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:49:03.977289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-828-2114 2008
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
Minimum2021-11-30 00:00:00
Maximum2021-11-30 00:00:00
2023-12-12T11:49:04.051960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:49:04.130780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

이미지파일명(원-근)
Text

UNIQUE 

Distinct2008
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T11:49:04.422940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length63
Mean length41.542829
Min length31

Characters and Unicode

Total characters83418
Distinct characters117
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2008 ?
Unique (%)100.0%

Sample

1st rowUR-[신흥로]-상-16-1.jpg|UR-[신흥로]-상-16-2.jpg
2nd rowUR-[신흥로]-하-18-1.jpg|UR-[신흥로]-하-18-2.jpg
3rd rowUR-[시민로]-상-37-1.jpg|UR-[시민로]-상-37-2.jpg
4th rowUR-[시민로]-상-43-1.jpg|UR-[시민로]-상-43-2.jpg
5th rowUR-[시민로]-상-38-1.jpg|UR-[시민로]-상-38-2.jpg
ValueCountFrequency (%)
ur-[신흥로]-상-16-1.jpg|ur-[신흥로]-상-16-2.jpg 1
 
< 0.1%
ur-[새말로]-하-3-1.jpg|ur-[새말로]-하-3-2.jpg 1
 
< 0.1%
nr-3[동일로]-상-2086-1.jpg|nr-3[동일로]-상-2086-2.jpg 1
 
< 0.1%
ur-[추동로]-하-31-1.jpg|ur-[추동로]-하-31-2.jpg 1
 
< 0.1%
ur-[추동로]-상-33-1.jpg|ur-[추동로]-상-33-2.jpg 1
 
< 0.1%
ur-[추동로]-상-34-1.jpg|ur-[추동로]-상-34-2.jpg 1
 
< 0.1%
ur-[승지로]-하-2-1.jpg|ur-[승지로]-하-2-2.jpg 1
 
< 0.1%
ur-[승지로]-하-7-1.jpg|ur-[승지로]-하-7-2.jpg 1
 
< 0.1%
ur-[추동로]-상-17-1.jpg|ur-[추동로]-상-17-2.jpg 1
 
< 0.1%
ur-[추동로]-상-32-1.jpg|ur-[추동로]-상-32-2.jpg 1
 
< 0.1%
Other values (1998) 1998
99.5%
2023-12-12T11:49:04.939165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 16872
20.2%
1 4052
 
4.9%
g 4016
 
4.8%
. 4016
 
4.8%
R 4016
 
4.8%
p 4016
 
4.8%
j 4016
 
4.8%
[ 4008
 
4.8%
] 4008
 
4.8%
로 4002
 
4.8%
Other values (107) 30396
36.4%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 16872
20.2%
Other Letter 16462
19.7%
Decimal Number 15908
19.1%
Lowercase Letter 12048
14.4%
Uppercase Letter 8032
9.6%
Open Punctuation 4036
 
4.8%
Close Punctuation 4036
 
4.8%
Other Punctuation 4016
 
4.8%
Math Symbol 2008
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4002
24.3%
상 2436
14.8%
하 1580
 
9.6%
민 656
 
4.0%
호 468
 
2.8%
국 456
 
2.8%
평 436
 
2.6%
동 412
 
2.5%
화 350
 
2.1%
용 306
 
1.9%
Other values (84) 5360
32.6%
Decimal Number
ValueCountFrequency (%)
1 4052
25.5%
2 3694
23.2%
3 1920
12.1%
4 1176
 
7.4%
9 966
 
6.1%
7 896
 
5.6%
8 868
 
5.5%
5 850
 
5.3%
6 794
 
5.0%
0 692
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
g 4016
33.3%
p 4016
33.3%
j 4016
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 4016
50.0%
U 3156
39.3%
N 860
 
10.7%
Open Punctuation
ValueCountFrequency (%)
[ 4008
99.3%
( 28
 
0.7%
Close Punctuation
ValueCountFrequency (%)
] 4008
99.3%
) 28
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 16872
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4016
100.0%
Math Symbol
ValueCountFrequency (%)
| 2008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46876
56.2%
Latin 20080
24.1%
Hangul 16462
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4002
24.3%
상 2436
14.8%
하 1580
 
9.6%
민 656
 
4.0%
호 468
 
2.8%
국 456
 
2.8%
평 436
 
2.6%
동 412
 
2.5%
화 350
 
2.1%
용 306
 
1.9%
Other values (84) 5360
32.6%
Common
ValueCountFrequency (%)
- 16872
36.0%
1 4052
 
8.6%
. 4016
 
8.6%
[ 4008
 
8.6%
] 4008
 
8.6%
2 3694
 
7.9%
| 2008
 
4.3%
3 1920
 
4.1%
4 1176
 
2.5%
9 966
 
2.1%
Other values (7) 4156
 
8.9%
Latin
ValueCountFrequency (%)
g 4016
20.0%
R 4016
20.0%
p 4016
20.0%
j 4016
20.0%
U 3156
15.7%
N 860
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66956
80.3%
Hangul 16462
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 16872
25.2%
1 4052
 
6.1%
g 4016
 
6.0%
. 4016
 
6.0%
R 4016
 
6.0%
p 4016
 
6.0%
j 4016
 
6.0%
[ 4008
 
6.0%
] 4008
 
6.0%
2 3694
 
5.5%
Other values (13) 14242
21.3%
Hangul
ValueCountFrequency (%)
로 4002
24.3%
상 2436
14.8%
하 1580
 
9.6%
민 656
 
4.0%
호 468
 
2.8%
국 456
 
2.8%
평 436
 
2.6%
동 412
 
2.5%
화 350
 
2.1%
용 306
 
1.9%
Other values (84) 5360
32.6%

행정동
Categorical

Distinct14
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
의정부1동
225 
송산3동
211 
자금동
202 
송산1동
202 
의정부2동
193 
Other values (9)
975 

Length

Max length5
Median length4
Mean length3.8849602
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의정부2동
2nd row의정부2동
3rd row의정부1동
4th row의정부1동
5th row의정부1동

Common Values

ValueCountFrequency (%)
의정부1동 225
11.2%
송산3동 211
10.5%
자금동 202
10.1%
송산1동 202
10.1%
의정부2동 193
9.6%
신곡1동 145
7.2%
녹양동 142
7.1%
가능동 141
7.0%
신곡2동 124
 
6.2%
송산2동 92
 
4.6%
Other values (4) 331
16.5%

Length

2023-12-12T11:49:05.093015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의정부1동 225
11.2%
송산3동 211
10.5%
자금동 202
10.1%
송산1동 202
10.1%
의정부2동 193
9.6%
신곡1동 145
7.2%
녹양동 142
7.1%
가능동 141
7.0%
신곡2동 124
 
6.2%
송산2동 92
 
4.6%
Other values (4) 331
16.5%

Sample

도로표지관리시스템 표지일련번호도로종류도로노선번호도로노선명도로노선방향차로수소재지도로명주소소재지지번주소위도경도도로안내표지구분방향정보1방향정보1OnTheWay도로종별방향정보1OnTheWay노선번호방향정보1OnTheWay도로명방향정보1ToTheWay도로종별방향정보1ToTheWay노선번호방향정보1ToTheWay도로명방향정보1원거리안내지명방향정보1근거리안내지명(1)방향정보1근거리안내지명(2)방향정보2방향정보2OnTheWay도로종별방향정보2OnTheWay노선번호방향정보2OnTheWay도로명방향정보2ToTheWay도로종별방향정보2ToTheWay노선번호방향정보2ToTheWay도로명방향정보2원거리안내지명방향정보2근거리안내지명(1)방향정보2근거리안내지명(2)방향정보3방향정보3OnTheWay도로종별방향정보3OnTheWay노선번호방향정보3OnTheWay도로명방향정보3ToTheWay도로종별방향정보3ToTheWay노선번호방향정보3ToTheWay도로명방향정보3원거리안내지명방향정보3근거리안내지명(1)방향정보3근거리안내지명(2)방향정보4방향정보4OnTheWay도로종별방향정보4OnTheWay노선번호방향정보4OnTheWay도로명방향정보4ToTheWay도로종별방향정보4ToTheWay노선번호방향정보4ToTheWay도로명방향정보4원거리안내지명방향정보4근거리안내지명(1)방향정보4근거리안내지명(2)방향정보5방향정보5OnTheWay도로종별방향정보5OnTheWay노선번호방향정보5OnTheWay도로명방향정보5ToTheWay도로종별방향정보5ToTheWay노선번호방향정보5ToTheWay도로명방향정보5원거리안내지명방향정보5근거리안내지명(1)방향정보5근거리안내지명(2)방향정보6방향정보6OnTheWay도로종별방향정보6OnTheWay노선번호방향정보6OnTheWay도로명방향정보6ToTheWay도로종별방향정보6ToTheWay노선번호방향정보6ToTheWay도로명방향정보6원거리안내지명방향정보6근거리안내지명(1)방향정보6근거리안내지명(2)지주형식이미지정보설치일자관리기관명관리기관전화번호데이터기준일자이미지파일명(원-근)행정동
0UR-[신흥로]-상-16UR<NA>신흥로U7<NA>경기도 의정부시 의정부동 49437.738115127.04345231<NA><NA><NA><NA><NA><NA>경찰서, 흥선역의정부의료원의정부2동주민센터2<NA><NA><NA>NR3<NA>서울, 남양주의정부역<NA>3<NA><NA><NA><NA><NA><NA>세무서시청, 시의회KBS의정부지국<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><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[신흥로]-상-16-1.jpg|UR-[신흥로]-상-16-2.jpg의정부2동
1UR-[신흥로]-하-18UR<NA>신흥로D7<NA>경기도 의정부시 의정부동 49437.738115127.04345231<NA><NA><NA><NA><NA><NA>의정부육아종합지원센터경전철의정부역, 보건소경기도일자리재단2<NA><NA><NA><NA><NA><NA>세무서시청, 시의회KBS의정부지국3<NA><NA><NA>NR3<NA>서울, 남양주의정부역<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><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[신흥로]-하-18-1.jpg|UR-[신흥로]-하-18-2.jpg의정부2동
2UR-[시민로]-상-37UR<NA>시민로U9<NA>경기도 의정부시 의정부동 67737.738532127.04345853<NA><NA><NA><NA><NA><NA><NA>경전철 의정부역<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><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><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[시민로]-상-37-1.jpg|UR-[시민로]-상-37-2.jpg의정부1동
3UR-[시민로]-상-43UR<NA>시민로U9<NA>경기도 의정부시 의정부동 67737.73853127.04347551<NA><NA><NA>ER100<NA><NA>호원IC<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><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><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[시민로]-상-43-1.jpg|UR-[시민로]-상-43-2.jpg의정부1동
4UR-[시민로]-상-38UR<NA>시민로U9<NA>경기도 의정부시 의정부동 67737.73853127.04347531<NA><NA><NA>UR<NA><NA>세무서시청, 시의회KBS 의정부지국2<NA><NA><NA>UR<NA><NA>경찰서, 흥선역의정부 의료원의정부2동주민센터3<NA><NA><NA>UR<NA><NA>의정부육아종합지원센터경전철의정부역, 보건소경기도일자리재단<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><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[시민로]-상-38-1.jpg|UR-[시민로]-상-38-2.jpg의정부1동
5UR-[시민로]-하-22UR<NA>시민로D9<NA>경기도 의정부시 의정부동 67737.73853127.04347531<NA><NA><NA>NR3<NA>서울, 남양주경기도청북부청사의정부역2<NA><NA><NA><NA><NA><NA>의정부육아종합지원센터경전철의정부역, 보건소경기도일자리재단3<NA><NA><NA><NA><NA><NA>경찰서, 흥선역의정부의료원의정부2동주민센터<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><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[시민로]-하-22-1.jpg|UR-[시민로]-하-22-2.jpg의정부1동
6UR-[신흥로]-하-22UR<NA>신흥로U6<NA>경기도 의정부시 의정부동 67737.738602127.0431431<NA><NA><NA><NA><NA><NA>의정부육아종합지원센터경전철의정부역, 보건소경기도일자리재단2<NA><NA><NA><NA><NA><NA>세무서시청, 시의회KBS의정부지국3<NA><NA><NA>NR3<NA>서울, 남양주의정부역<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><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[신흥로]-하-22-1.jpg|UR-[신흥로]-하-22-2.jpg의정부1동
7UR-[신흥로]-상-20UR<NA>신흥로D6<NA>경기도 의정부시 의정부동 67737.738602127.0431431<NA><NA><NA>UR<NA><NA>경찰서, 흥선역의정부의료원의정부2동주민센터2<NA><NA><NA>NR3<NA>서울, 남양주의정부역<NA>3<NA><NA><NA><NA><NA><NA>세무서시청, 시의회KBS의정부지국<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><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[신흥로]-상-20-1.jpg|UR-[신흥로]-상-20-2.jpg의정부1동
8UR-[시민로]-상-24UR<NA>시민로U6<NA>경기도 의정부시 의정부동 69137.738185127.04300631<NA><NA><NA>NR3<NA>서울, 남양주경기도청북부청사의정부역2<NA><NA><NA><NA><NA><NA>의정부육아종합지원센터경전철의정부역, 보건소경기도일자리재단3<NA><NA><NA><NA><NA><NA>경찰서, 흥선역의정부의료원의정부2동주민센터<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><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[시민로]-상-24-1.jpg|UR-[시민로]-상-24-2.jpg의정부2동
9UR-[시민로]-하-12UR<NA>시민로D6<NA>경기도 의정부시 의정부동 69137.738185127.04300631<NA><NA><NA><NA><NA><NA>세무서시청, 시의회KBS의정부지국2<NA><NA><NA><NA><NA><NA>경찰서, 흥선역의정부의료원의정부2동주민센터3<NA><NA><NA><NA><NA><NA>의정부육아종합지원센터경전철의정부역, 보건소경기도일자리재단<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><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[시민로]-하-12-1.jpg|UR-[시민로]-하-12-2.jpg의정부2동
도로표지관리시스템 표지일련번호도로종류도로노선번호도로노선명도로노선방향차로수소재지도로명주소소재지지번주소위도경도도로안내표지구분방향정보1방향정보1OnTheWay도로종별방향정보1OnTheWay노선번호방향정보1OnTheWay도로명방향정보1ToTheWay도로종별방향정보1ToTheWay노선번호방향정보1ToTheWay도로명방향정보1원거리안내지명방향정보1근거리안내지명(1)방향정보1근거리안내지명(2)방향정보2방향정보2OnTheWay도로종별방향정보2OnTheWay노선번호방향정보2OnTheWay도로명방향정보2ToTheWay도로종별방향정보2ToTheWay노선번호방향정보2ToTheWay도로명방향정보2원거리안내지명방향정보2근거리안내지명(1)방향정보2근거리안내지명(2)방향정보3방향정보3OnTheWay도로종별방향정보3OnTheWay노선번호방향정보3OnTheWay도로명방향정보3ToTheWay도로종별방향정보3ToTheWay노선번호방향정보3ToTheWay도로명방향정보3원거리안내지명방향정보3근거리안내지명(1)방향정보3근거리안내지명(2)방향정보4방향정보4OnTheWay도로종별방향정보4OnTheWay노선번호방향정보4OnTheWay도로명방향정보4ToTheWay도로종별방향정보4ToTheWay노선번호방향정보4ToTheWay도로명방향정보4원거리안내지명방향정보4근거리안내지명(1)방향정보4근거리안내지명(2)방향정보5방향정보5OnTheWay도로종별방향정보5OnTheWay노선번호방향정보5OnTheWay도로명방향정보5ToTheWay도로종별방향정보5ToTheWay노선번호방향정보5ToTheWay도로명방향정보5원거리안내지명방향정보5근거리안내지명(1)방향정보5근거리안내지명(2)방향정보6방향정보6OnTheWay도로종별방향정보6OnTheWay노선번호방향정보6OnTheWay도로명방향정보6ToTheWay도로종별방향정보6ToTheWay노선번호방향정보6ToTheWay도로명방향정보6원거리안내지명방향정보6근거리안내지명(1)방향정보6근거리안내지명(2)지주형식이미지정보설치일자관리기관명관리기관전화번호데이터기준일자이미지파일명(원-근)행정동
1998UR-[호국로]-상-66UR<NA>호국로U6<NA>경기도 의정부시 의정부동 15-1037.743539127.0491116<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-07-01경기도 의정부시청031-828-21142021-11-30UR-[호국로]-상-66-1.jpg|UR-[호국로]-상-66-2.jpg의정부1동
1999UR-3[평화로]-상-2NR3평화로U5<NA>경기도 의정부시 의정부동 141-2437.736519127.0476786<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3http://www.roadsign.go.kr/main_form.asp2009-03-01경기도 의정부시청031-828-21142021-11-30UR-3[평화로]-상-2-1.jpg|UR-3[평화로]-상-2-2.jpg의정부1동
2000UR-[의정로]-상-17UR<NA>의정로U6<NA>경기도 의정부시 의정부동 533-537.734525127.0353016<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[의정로]-상-17-1.jpg|UR-[의정로]-상-17-2.jpg의정부2동
2001UR-[의정로]-상-18UR<NA>의정로U7<NA>경기도 의정부시 의정부동 61737.738782127.0347326<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[의정로]-상-18-1.jpg|UR-[의정로]-상-18-2.jpg의정부2동
2002UR-[의정로]-상-38UR<NA>의정로U6<NA>경기도 의정부시 가능동 832-737.740443127.0349986<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[의정로]-상-38-1.jpg|UR-[의정로]-상-38-2.jpg흥선동
2003UR-[시민로19번길]-상-1UR<NA>시민로19번길U2<NA>경기도 의정부시 의정부동 67937.73907127.0366346<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-08-01경기도 의정부시청031-828-21142021-11-30UR-[시민로19번길]-상-1-1.jpg|UR-[시민로19번길]-상-1-2.jpg의정부2동
2004UR-[흥선로]-상-13UR<NA>흥선로U2<NA>경기도 의정부시 의정부동 249-237.741997127.0412196<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[흥선로]-상-13-1.jpg|UR-[흥선로]-상-13-2.jpg의정부1동
2005UR-[신흥로]-상-1UR<NA>신흥로U5<NA>경기도 의정부시 호원동 288-1737.721071127.04407731<NA><NA><NA><NA><NA><NA><NA>회룡역<NA>2<NA><NA><NA><NA><NA><NA><NA>호원중학교<NA>3<NA><NA><NA><NA><NA><NA><NA>호원초등학교<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><NA><NA><NA><NA><NA><NA>4http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[신흥로]-상-1-1-1.jpg|UR-[신흥로]-상-1-1-2.jpg호원2동
2006UR-[신흥로]-상-1UR<NA>신흥로U5<NA>경기도 의정부시 호원동 288-1737.721071127.04407752<NA><NA><NA><NA><NA><NA><NA>신흥로58번길<NA>3<NA><NA><NA><NA><NA><NA><NA>신흥로<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[신흥로]-상-1-2-1.jpg|UR-[신흥로]-상-1-2-2.jpg호원2동
2007UR-[비우로]-상-20UR<NA>비우로U6<NA>경기도 의정부시 가능동 93-837.758483127.0399651<NA><NA><NA><NA><NA><NA><NA>종합운동장<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><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><NA>6http://www.roadsign.go.kr/main_form.asp2008-04-01경기도 의정부시청031-828-21142021-11-30UR-[비우로]-상-20-1.jpg|UR-[비우로]-상-20-2.jpg가능동