Overview

Dataset statistics

Number of variables52
Number of observations1433
Missing cells25152
Missing cells (%)33.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory597.7 KiB
Average record size in memory427.1 B

Variable types

Numeric6
Text22
Categorical23
DateTime1

Dataset

Description경기도 남양주시 도로안내표지 관내 설치된 도로안내표지에 대한 데이터로 도로안내표지일련번호, 도로종류, 소재지주소, 위도, 경도 등의 데이터를 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/15111958/fileData.do

Alerts

방향정보4원거리안내지명 has constant value ""Constant
방향정보4근거리안내지명(2) has constant value ""Constant
방향정보5근거리안내지명(1) has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
차로수 is highly imbalanced (55.0%)Imbalance
방향정보1(OnTheWay)도로종별 is highly imbalanced (76.7%)Imbalance
방향정보1(OnTheWay)노선번호 is highly imbalanced (73.7%)Imbalance
방향정보1(ToTheWay)도로종별 is highly imbalanced (86.1%)Imbalance
방향정보1(ToTheWay)노선번호 is highly imbalanced (82.6%)Imbalance
방향정보1(ToTheWay)도로명 is highly imbalanced (97.7%)Imbalance
방향정보2(OnTheWay)도로종별 is highly imbalanced (86.6%)Imbalance
방향정보2(OnTheWay)노선번호 is highly imbalanced (83.1%)Imbalance
방향정보2(ToTheWay)도로종별 is highly imbalanced (85.8%)Imbalance
방향정보2(ToTheWay)노선번호 is highly imbalanced (82.8%)Imbalance
방향정보3 is highly imbalanced (61.7%)Imbalance
방향정보3(OnTheWay)도로종별 is highly imbalanced (92.9%)Imbalance
방향정보3(OnTheWay)노선번호 is highly imbalanced (88.9%)Imbalance
방향정보3(ToTheWay)도로종별 is highly imbalanced (95.4%)Imbalance
방향정보3(ToTheWay)노선번호 is highly imbalanced (86.2%)Imbalance
방향정보4 is highly imbalanced (98.8%)Imbalance
방향정보5 is highly imbalanced (99.2%)Imbalance
소재지도로명주소 has 160 (11.2%) missing valuesMissing
소재지지번주소 has 488 (34.1%) missing valuesMissing
도로안내표지구분 has 56 (3.9%) missing valuesMissing
방향정보1(OnTheWay)도로명 has 1415 (98.7%) missing valuesMissing
방향정보1원거리안내지명 has 893 (62.3%) missing valuesMissing
방향정보1근거리안내지명(1) has 930 (64.9%) missing valuesMissing
방향정보1근거리안내지명(2) has 1365 (95.3%) missing valuesMissing
방향정보2 has 906 (63.2%) missing valuesMissing
방향정보2(OnTheWay)도로명 has 1418 (99.0%) missing valuesMissing
방향정보2(ToTheWay)도로명 has 1408 (98.3%) missing valuesMissing
방향정보2원거리안내지명 has 989 (69.0%) missing valuesMissing
방향정보2근거리안내지명(1) has 1016 (70.9%) missing valuesMissing
방향정보2근거리안내지명(2) has 1350 (94.2%) missing valuesMissing
방향정보3(OnTheWay)도로명 has 1418 (99.0%) missing valuesMissing
방향정보3(ToTheWay)도로명 has 1406 (98.1%) missing valuesMissing
방향정보3원거리안내지명 has 1085 (75.7%) missing valuesMissing
방향정보3근거리안내지명(1) has 1162 (81.1%) missing valuesMissing
방향정보3근거리안내지명(2) has 1407 (98.2%) missing valuesMissing
방향정보4원거리안내지명 has 1432 (99.9%) missing valuesMissing
방향정보4근거리안내지명(1) has 1429 (99.7%) missing valuesMissing
방향정보4근거리안내지명(2) has 1432 (99.9%) missing valuesMissing
방향정보5근거리안내지명(1) has 1432 (99.9%) missing valuesMissing
지주형식 has 555 (38.7%) missing valuesMissing
지주형식 is highly skewed (γ1 = 25.94406646)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:13:43.882216
Analysis finished2023-12-12 12:13:45.838723
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1433
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean717
Minimum1
Maximum1433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T21:13:46.261839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.6
Q1359
median717
Q31075
95-th percentile1361.4
Maximum1433
Range1432
Interquartile range (IQR)716

Descriptive statistics

Standard deviation413.81578
Coefficient of variation (CV)0.57714893
Kurtosis-1.2
Mean717
Median Absolute Deviation (MAD)358
Skewness0
Sum1027461
Variance171243.5
MonotonicityStrictly increasing
2023-12-12T21:13:46.449653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
942 1
 
0.1%
962 1
 
0.1%
961 1
 
0.1%
960 1
 
0.1%
959 1
 
0.1%
958 1
 
0.1%
957 1
 
0.1%
956 1
 
0.1%
955 1
 
0.1%
Other values (1423) 1423
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1433 1
0.1%
1432 1
0.1%
1431 1
0.1%
1430 1
0.1%
1429 1
0.1%
1428 1
0.1%
1427 1
0.1%
1426 1
0.1%
1425 1
0.1%
1424 1
0.1%

도로안내표지번호
Text

Distinct1349
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T21:13:46.846125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length17.856246
Min length12

Characters and Unicode

Total characters25588
Distinct characters124
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

Unique1265 ?
Unique (%)88.3%

Sample

1st rowER-35[경강로926번길]-상-575
2nd rowNR-4[임성로]-하-2606
3rd rowNR-43[금강로]-상-586
4th rowNR-43[금강로]-상-587
5th rowNR-43[금강로]-상-588
ValueCountFrequency (%)
ur(남양주시)-[가운로2길]-상-7 2
 
0.1%
ur(남양주시)-[석실로]-상-20 2
 
0.1%
ur(남양주시)-[퇴계원로]-하-3 2
 
0.1%
nr-6[경춘로]-하-2 2
 
0.1%
ur(남양주시)-[퇴계원로]-하-4 2
 
0.1%
ur(남양주시)-[고산로]-상-23 2
 
0.1%
ur(남양주시)-[고산로]-상-22 2
 
0.1%
ur(남양주시)-[석실로]-하-19 2
 
0.1%
ur(남양주시)-[석실로]-하-18 2
 
0.1%
ur(남양주시)-[고산로]-상-19 2
 
0.1%
Other values (1340) 1414
98.6%
2023-12-12T21:13:47.421497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4209
 
16.4%
R 1585
 
6.2%
] 1431
 
5.6%
[ 1431
 
5.6%
로 1424
 
5.6%
4 786
 
3.1%
U 770
 
3.0%
상 737
 
2.9%
남 729
 
2.8%
양 722
 
2.8%
Other values (114) 11764
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9391
36.7%
Decimal Number 4831
18.9%
Dash Punctuation 4209
16.4%
Uppercase Letter 2866
 
11.2%
Close Punctuation 2145
 
8.4%
Open Punctuation 2145
 
8.4%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1424
15.2%
상 737
 
7.8%
남 729
 
7.8%
양 722
 
7.7%
시 714
 
7.6%
주 704
 
7.5%
하 696
 
7.4%
경 410
 
4.4%
강 307
 
3.3%
춘 306
 
3.3%
Other values (94) 2642
28.1%
Decimal Number
ValueCountFrequency (%)
4 786
16.3%
6 660
13.7%
3 593
12.3%
1 590
12.2%
7 458
9.5%
2 452
9.4%
8 429
8.9%
5 398
8.2%
9 260
 
5.4%
0 205
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
R 1585
55.3%
U 770
26.9%
N 510
 
17.8%
E 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 1431
66.7%
) 714
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 1431
66.7%
( 714
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4209
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13331
52.1%
Hangul 9391
36.7%
Latin 2866
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1424
15.2%
상 737
 
7.8%
남 729
 
7.8%
양 722
 
7.7%
시 714
 
7.6%
주 704
 
7.5%
하 696
 
7.4%
경 410
 
4.4%
강 307
 
3.3%
춘 306
 
3.3%
Other values (94) 2642
28.1%
Common
ValueCountFrequency (%)
- 4209
31.6%
] 1431
 
10.7%
[ 1431
 
10.7%
4 786
 
5.9%
) 714
 
5.4%
( 714
 
5.4%
6 660
 
5.0%
3 593
 
4.4%
1 590
 
4.4%
7 458
 
3.4%
Other values (6) 1745
13.1%
Latin
ValueCountFrequency (%)
R 1585
55.3%
U 770
26.9%
N 510
 
17.8%
E 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16197
63.3%
Hangul 9391
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4209
26.0%
R 1585
 
9.8%
] 1431
 
8.8%
[ 1431
 
8.8%
4 786
 
4.9%
U 770
 
4.8%
) 714
 
4.4%
( 714
 
4.4%
6 660
 
4.1%
3 593
 
3.7%
Other values (10) 3304
20.4%
Hangul
ValueCountFrequency (%)
로 1424
15.2%
상 737
 
7.8%
남 729
 
7.8%
양 722
 
7.7%
시 714
 
7.6%
주 704
 
7.5%
하 696
 
7.4%
경 410
 
4.4%
강 307
 
3.3%
춘 306
 
3.3%
Other values (94) 2642
28.1%

도로종류
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
UR
772 
NR
510 
RR
150 
ER
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowER
2nd rowNR
3rd rowNR
4th rowNR
5th rowNR

Common Values

ValueCountFrequency (%)
UR 772
53.9%
NR 510
35.6%
RR 150
 
10.5%
ER 1
 
0.1%

Length

2023-12-12T21:13:47.606187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:47.771887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ur 772
53.9%
nr 510
35.6%
rr 150
 
10.5%
er 1
 
0.1%

도로노선번호
Categorical

Distinct15
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
0
770 
6번
133 
46번
129 
45번
87 
47번
87 
Other values (10)
227 

Length

Max length4
Median length1
Mean length1.9078856
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row35번
2nd row4번
3rd row43번
4th row43번
5th row43번

Common Values

ValueCountFrequency (%)
0 770
53.7%
6번 133
 
9.3%
46번 129
 
9.0%
45번 87
 
6.1%
47번 87
 
6.1%
43번 71
 
5.0%
383번 60
 
4.2%
387번 40
 
2.8%
86번 38
 
2.7%
390번 7
 
0.5%
Other values (5) 11
 
0.8%

Length

2023-12-12T21:13:47.933047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 770
53.7%
6번 133
 
9.3%
46번 129
 
9.0%
45번 87
 
6.1%
47번 87
 
6.1%
43번 71
 
5.0%
383번 60
 
4.2%
387번 40
 
2.8%
86번 38
 
2.7%
390번 7
 
0.5%
Other values (5) 11
 
0.8%

도로노선명
Text

Distinct105
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T21:13:48.221713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.7292394
Min length3

Characters and Unicode

Total characters5344
Distinct characters115
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

Unique30 ?
Unique (%)2.1%

Sample

1st row경강로926번길
2nd row임성로
3rd row금강로
4th row금강로
5th row금강로
ValueCountFrequency (%)
경춘로 143
 
10.0%
금강로 130
 
9.1%
경춘북로 127
 
8.9%
경강로 91
 
6.4%
북한강로 73
 
5.1%
송산로 53
 
3.7%
순화궁로 48
 
3.3%
고산로 39
 
2.7%
수레로 39
 
2.7%
늘을1로 37
 
2.6%
Other values (95) 653
45.6%
2023-12-12T21:13:48.744519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 1423
26.6%
경 405
 
7.6%
강 307
 
5.7%
춘 301
 
5.6%
북 252
 
4.7%
금 146
 
2.7%
산 136
 
2.5%
길 87
 
1.6%
1 84
 
1.6%
번 76
 
1.4%
Other values (105) 2127
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5019
93.9%
Decimal Number 323
 
6.0%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1423
28.4%
경 405
 
8.1%
강 307
 
6.1%
춘 301
 
6.0%
북 252
 
5.0%
금 146
 
2.9%
산 136
 
2.7%
길 87
 
1.7%
번 76
 
1.5%
늘 73
 
1.5%
Other values (93) 1813
36.1%
Decimal Number
ValueCountFrequency (%)
1 84
26.0%
2 60
18.6%
6 50
15.5%
3 47
14.6%
7 20
 
6.2%
8 17
 
5.3%
5 15
 
4.6%
9 14
 
4.3%
4 12
 
3.7%
0 4
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5019
93.9%
Common 325
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1423
28.4%
경 405
 
8.1%
강 307
 
6.1%
춘 301
 
6.0%
북 252
 
5.0%
금 146
 
2.9%
산 136
 
2.7%
길 87
 
1.7%
번 76
 
1.5%
늘 73
 
1.5%
Other values (93) 1813
36.1%
Common
ValueCountFrequency (%)
1 84
25.8%
2 60
18.5%
6 50
15.4%
3 47
14.5%
7 20
 
6.2%
8 17
 
5.2%
5 15
 
4.6%
9 14
 
4.3%
4 12
 
3.7%
0 4
 
1.2%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5019
93.9%
ASCII 325
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 1423
28.4%
경 405
 
8.1%
강 307
 
6.1%
춘 301
 
6.0%
북 252
 
5.0%
금 146
 
2.9%
산 136
 
2.7%
길 87
 
1.7%
번 76
 
1.5%
늘 73
 
1.5%
Other values (93) 1813
36.1%
ASCII
ValueCountFrequency (%)
1 84
25.8%
2 60
18.5%
6 50
15.4%
3 47
14.5%
7 20
 
6.2%
8 17
 
5.2%
5 15
 
4.6%
9 14
 
4.3%
4 12
 
3.7%
0 4
 
1.2%
Other values (2) 2
 
0.6%

도로노선방향
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
U
728 
D
705 

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 728
50.8%
D 705
49.2%

Length

2023-12-12T21:13:48.935685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:49.077540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 728
50.8%
d 705
49.2%

차로수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1099 
4
246 
6
 
59
2
 
25
8
 
4

Length

Max length4
Median length4
Mean length3.3007676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1099
76.7%
4 246
 
17.2%
6 59
 
4.1%
2 25
 
1.7%
8 4
 
0.3%

Length

2023-12-12T21:13:49.196559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:49.342298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1099
76.7%
4 246
 
17.2%
6 59
 
4.1%
2 25
 
1.7%
8 4
 
0.3%

소재지도로명주소
Text

MISSING 

Distinct224
Distinct (%)17.6%
Missing160
Missing (%)11.2%
Memory size11.3 KiB
2023-12-12T21:13:49.657382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length14.349568
Min length8

Characters and Unicode

Total characters18267
Distinct characters130
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

Unique101 ?
Unique (%)7.9%

Sample

1st row경기도 남양주시 경강로926번길
2nd row경기도 남양주시 금강로
3rd row경기도 남양주시 금강로
4th row경기도 남양주시 금강로
5th row경기도 남양주시 금강로
ValueCountFrequency (%)
남양주시 1273
29.6%
경기도 1241
28.9%
경춘로 138
 
3.2%
금강로 115
 
2.7%
경춘북로 105
 
2.4%
화도읍 94
 
2.2%
경강로 86
 
2.0%
별내면 62
 
1.4%
북한강로 50
 
1.2%
진건읍 49
 
1.1%
Other values (216) 1086
25.3%
2023-12-12T21:13:50.151577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3026
16.6%
경 1642
 
9.0%
도 1351
 
7.4%
남 1308
 
7.2%
양 1284
 
7.0%
시 1273
 
7.0%
기 1273
 
7.0%
주 1273
 
7.0%
로 1219
 
6.7%
춘 272
 
1.5%
Other values (120) 4346
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14386
78.8%
Space Separator 3026
 
16.6%
Decimal Number 810
 
4.4%
Dash Punctuation 43
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1642
11.4%
도 1351
9.4%
남 1308
9.1%
양 1284
 
8.9%
시 1273
 
8.8%
기 1273
 
8.8%
주 1273
 
8.8%
로 1219
 
8.5%
춘 272
 
1.9%
강 263
 
1.8%
Other values (106) 3228
22.4%
Decimal Number
ValueCountFrequency (%)
1 175
21.6%
2 110
13.6%
6 99
12.2%
3 98
12.1%
4 67
 
8.3%
9 66
 
8.1%
5 64
 
7.9%
8 56
 
6.9%
7 51
 
6.3%
0 24
 
3.0%
Space Separator
ValueCountFrequency (%)
3026
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14386
78.8%
Common 3881
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1642
11.4%
도 1351
9.4%
남 1308
9.1%
양 1284
 
8.9%
시 1273
 
8.8%
기 1273
 
8.8%
주 1273
 
8.8%
로 1219
 
8.5%
춘 272
 
1.9%
강 263
 
1.8%
Other values (106) 3228
22.4%
Common
ValueCountFrequency (%)
3026
78.0%
1 175
 
4.5%
2 110
 
2.8%
6 99
 
2.6%
3 98
 
2.5%
4 67
 
1.7%
9 66
 
1.7%
5 64
 
1.6%
8 56
 
1.4%
7 51
 
1.3%
Other values (4) 69
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14386
78.8%
ASCII 3881
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3026
78.0%
1 175
 
4.5%
2 110
 
2.8%
6 99
 
2.6%
3 98
 
2.5%
4 67
 
1.7%
9 66
 
1.7%
5 64
 
1.6%
8 56
 
1.4%
7 51
 
1.3%
Other values (4) 69
 
1.8%
Hangul
ValueCountFrequency (%)
경 1642
11.4%
도 1351
9.4%
남 1308
9.1%
양 1284
 
8.9%
시 1273
 
8.8%
기 1273
 
8.8%
주 1273
 
8.8%
로 1219
 
8.5%
춘 272
 
1.9%
강 263
 
1.8%
Other values (106) 3228
22.4%

소재지지번주소
Text

MISSING 

Distinct767
Distinct (%)81.2%
Missing488
Missing (%)34.1%
Memory size11.3 KiB
2023-12-12T21:13:50.416864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.230688
Min length12

Characters and Unicode

Total characters19118
Distinct characters112
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique673 ?
Unique (%)71.2%

Sample

1st row경기도 남양주시 와부읍 경강로926번길
2nd row경기도 남양주시 진접읍 내곡리 568-23
3rd row경기도 남양주시 진접읍 내곡리 568-28
4th row경기도 남양주시 진접읍 내곡리 549-33
5th row경기도 남양주시 진접읍 내곡리 548-36
ValueCountFrequency (%)
남양주시 944
21.8%
경기도 942
21.8%
진접읍 146
 
3.4%
화도읍 140
 
3.2%
다산동 105
 
2.4%
와부읍 104
 
2.4%
호평동 86
 
2.0%
조안면 81
 
1.9%
평내동 61
 
1.4%
내곡리 53
 
1.2%
Other values (812) 1661
38.4%
2023-12-12T21:13:50.837693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3382
17.7%
도 1108
 
5.8%
남 970
 
5.1%
양 966
 
5.1%
경 947
 
5.0%
시 947
 
5.0%
주 944
 
4.9%
기 944
 
4.9%
- 766
 
4.0%
1 658
 
3.4%
Other values (102) 7486
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11304
59.1%
Decimal Number 3660
 
19.1%
Space Separator 3382
 
17.7%
Dash Punctuation 766
 
4.0%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1108
 
9.8%
남 970
 
8.6%
양 966
 
8.5%
경 947
 
8.4%
시 947
 
8.4%
주 944
 
8.4%
기 944
 
8.4%
리 537
 
4.8%
읍 439
 
3.9%
동 410
 
3.6%
Other values (89) 3092
27.4%
Decimal Number
ValueCountFrequency (%)
1 658
18.0%
2 440
12.0%
4 412
11.3%
3 394
10.8%
6 374
10.2%
5 356
9.7%
7 326
8.9%
8 277
7.6%
0 213
 
5.8%
9 210
 
5.7%
Space Separator
ValueCountFrequency (%)
3382
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11304
59.1%
Common 7814
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1108
 
9.8%
남 970
 
8.6%
양 966
 
8.5%
경 947
 
8.4%
시 947
 
8.4%
주 944
 
8.4%
기 944
 
8.4%
리 537
 
4.8%
읍 439
 
3.9%
동 410
 
3.6%
Other values (89) 3092
27.4%
Common
ValueCountFrequency (%)
3382
43.3%
- 766
 
9.8%
1 658
 
8.4%
2 440
 
5.6%
4 412
 
5.3%
3 394
 
5.0%
6 374
 
4.8%
5 356
 
4.6%
7 326
 
4.2%
8 277
 
3.5%
Other values (3) 429
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11304
59.1%
ASCII 7814
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3382
43.3%
- 766
 
9.8%
1 658
 
8.4%
2 440
 
5.6%
4 412
 
5.3%
3 394
 
5.0%
6 374
 
4.8%
5 356
 
4.6%
7 326
 
4.2%
8 277
 
3.5%
Other values (3) 429
 
5.5%
Hangul
ValueCountFrequency (%)
도 1108
 
9.8%
남 970
 
8.6%
양 966
 
8.5%
경 947
 
8.4%
시 947
 
8.4%
주 944
 
8.4%
기 944
 
8.4%
리 537
 
4.8%
읍 439
 
3.9%
동 410
 
3.6%
Other values (89) 3092
27.4%

위도
Real number (ℝ)

Distinct1359
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.63975
Minimum37.525031
Maximum37.762585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T21:13:50.996566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.525031
5-th percentile37.543723
Q137.610681
median37.648545
Q337.662145
95-th percentile37.710735
Maximum37.762585
Range0.237554
Interquartile range (IQR)0.051464

Descriptive statistics

Standard deviation0.045829231
Coefficient of variation (CV)0.0012175753
Kurtosis0.34241009
Mean37.63975
Median Absolute Deviation (MAD)0.02667
Skewness-0.32667128
Sum53937.762
Variance0.0021003184
MonotonicityNot monotonic
2023-12-12T21:13:51.149768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6593 5
 
0.3%
37.6592 4
 
0.3%
37.647176 4
 
0.3%
37.533138 3
 
0.2%
37.604601 3
 
0.2%
37.6725 3
 
0.2%
37.603001 3
 
0.2%
37.6627 3
 
0.2%
37.6687 3
 
0.2%
37.648892 2
 
0.1%
Other values (1349) 1400
97.7%
ValueCountFrequency (%)
37.525031 1
0.1%
37.525456 1
0.1%
37.526497 1
0.1%
37.526781 1
0.1%
37.527122 1
0.1%
37.528247 1
0.1%
37.528381 1
0.1%
37.528614 1
0.1%
37.528655 2
0.1%
37.528664 1
0.1%
ValueCountFrequency (%)
37.762585 1
0.1%
37.758301 1
0.1%
37.758278 1
0.1%
37.757536 1
0.1%
37.754437 1
0.1%
37.753128 1
0.1%
37.752321 1
0.1%
37.751403 1
0.1%
37.751212 2
0.1%
37.750629 1
0.1%

경도
Real number (ℝ)

Distinct1323
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.21888
Minimum127.1052
Maximum127.37506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T21:13:51.307978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.1052
5-th percentile127.123
Q1127.16194
median127.20711
Q3127.26088
95-th percentile127.34218
Maximum127.37506
Range0.269863
Interquartile range (IQR)0.098941

Descriptive statistics

Standard deviation0.068231425
Coefficient of variation (CV)0.00053633095
Kurtosis-0.71704453
Mean127.21888
Median Absolute Deviation (MAD)0.046709
Skewness0.48078011
Sum182304.66
Variance0.0046555274
MonotonicityNot monotonic
2023-12-12T21:13:51.520371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1249 5
 
0.3%
127.1546 4
 
0.3%
127.1247 4
 
0.3%
127.303175 4
 
0.3%
127.302563 4
 
0.3%
127.1161 3
 
0.2%
127.1183 3
 
0.2%
127.152617 3
 
0.2%
127.304253 3
 
0.2%
127.159301 3
 
0.2%
Other values (1313) 1397
97.5%
ValueCountFrequency (%)
127.105199 1
0.1%
127.108223 1
0.1%
127.108441 1
0.1%
127.108679 1
0.1%
127.109176 1
0.1%
127.109202 1
0.1%
127.109604 1
0.1%
127.110192 1
0.1%
127.110254 1
0.1%
127.110309 1
0.1%
ValueCountFrequency (%)
127.375062 1
0.1%
127.374956 1
0.1%
127.374577 1
0.1%
127.374555 1
0.1%
127.374365 1
0.1%
127.372607 1
0.1%
127.372506 1
0.1%
127.372468 1
0.1%
127.372141 1
0.1%
127.372036 1
0.1%

도로안내표지구분
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.5%
Missing56
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean9.9905592
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T21:13:51.679745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.929506
Coefficient of variation (CV)2.4953064
Kurtosis8.8617859
Mean9.9905592
Median Absolute Deviation (MAD)0
Skewness3.2915572
Sum13757
Variance621.48029
MonotonicityNot monotonic
2023-12-12T21:13:51.823615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 952
66.4%
99 100
 
7.0%
2 99
 
6.9%
4 90
 
6.3%
1 65
 
4.5%
5 48
 
3.3%
6 23
 
1.6%
(Missing) 56
 
3.9%
ValueCountFrequency (%)
1 65
 
4.5%
2 99
 
6.9%
3 952
66.4%
4 90
 
6.3%
5 48
 
3.3%
6 23
 
1.6%
99 100
 
7.0%
ValueCountFrequency (%)
99 100
 
7.0%
6 23
 
1.6%
5 48
 
3.3%
4 90
 
6.3%
3 952
66.4%
2 99
 
6.9%
1 65
 
4.5%

방향정보1
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
826 
1
504 
3
 
58
2
 
38
82
 
5

Length

Max length4
Median length4
Mean length2.7341242
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 826
57.6%
1 504
35.2%
3 58
 
4.0%
2 38
 
2.7%
82 5
 
0.3%
81 2
 
0.1%

Length

2023-12-12T21:13:51.987716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:52.149497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 826
57.6%
1 504
35.2%
3 58
 
4.0%
2 38
 
2.7%
82 5
 
0.3%
81 2
 
0.1%

방향정보1(OnTheWay)도로종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1321 
NR
 
89
RR
 
17
UR
 
6

Length

Max length4
Median length4
Mean length3.8436846
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> 1321
92.2%
NR 89
 
6.2%
RR 17
 
1.2%
UR 6
 
0.4%

Length

2023-12-12T21:13:52.313572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:52.458941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1321
92.2%
nr 89
 
6.2%
rr 17
 
1.2%
ur 6
 
0.4%

방향정보1(OnTheWay)노선번호
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1212 
46
 
79
43
 
44
45
 
20
86
 
19
Other values (12)
 
59

Length

Max length6
Median length4
Mean length3.7083043
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> 1212
84.6%
46 79
 
5.5%
43 44
 
3.1%
45 20
 
1.4%
86 19
 
1.3%
47 14
 
1.0%
6 13
 
0.9%
100 7
 
0.5%
391 6
 
0.4%
362 5
 
0.3%
Other values (7) 14
 
1.0%

Length

2023-12-12T21:13:52.631125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1212
84.6%
46 79
 
5.5%
43 44
 
3.1%
45 20
 
1.4%
86 19
 
1.3%
47 14
 
1.0%
6 13
 
0.9%
100 7
 
0.5%
391 6
 
0.4%
362 5
 
0.3%
Other values (7) 14
 
1.0%

방향정보1(OnTheWay)도로명
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing1415
Missing (%)98.7%
Memory size11.3 KiB
2023-12-12T21:13:52.835923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.6111111
Min length2

Characters and Unicode

Total characters83
Distinct characters29
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 (%)16.7%

Sample

1st row47
2nd row46
3rd row46
4th row47
5th row46
ValueCountFrequency (%)
46 3
16.7%
경춘로 3
16.7%
경춘로2248번길 3
16.7%
47 2
11.1%
진중삼거리 2
11.1%
가운3교차로 2
11.1%
조안교차로 1
 
5.6%
판곡대로 1
 
5.6%
양정동사거리 1
 
5.6%
2023-12-12T21:13:53.254123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 10
 
12.0%
4 8
 
9.6%
경 6
 
7.2%
춘 6
 
7.2%
2 6
 
7.2%
거 3
 
3.6%
차 3
 
3.6%
교 3
 
3.6%
6 3
 
3.6%
리 3
 
3.6%
Other values (19) 32
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59
71.1%
Decimal Number 24
28.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 10
16.9%
경 6
 
10.2%
춘 6
 
10.2%
거 3
 
5.1%
차 3
 
5.1%
교 3
 
5.1%
리 3
 
5.1%
번 3
 
5.1%
길 3
 
5.1%
운 2
 
3.4%
Other values (13) 17
28.8%
Decimal Number
ValueCountFrequency (%)
4 8
33.3%
2 6
25.0%
6 3
 
12.5%
8 3
 
12.5%
3 2
 
8.3%
7 2
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59
71.1%
Common 24
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 10
16.9%
경 6
 
10.2%
춘 6
 
10.2%
거 3
 
5.1%
차 3
 
5.1%
교 3
 
5.1%
리 3
 
5.1%
번 3
 
5.1%
길 3
 
5.1%
운 2
 
3.4%
Other values (13) 17
28.8%
Common
ValueCountFrequency (%)
4 8
33.3%
2 6
25.0%
6 3
 
12.5%
8 3
 
12.5%
3 2
 
8.3%
7 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59
71.1%
ASCII 24
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 10
16.9%
경 6
 
10.2%
춘 6
 
10.2%
거 3
 
5.1%
차 3
 
5.1%
교 3
 
5.1%
리 3
 
5.1%
번 3
 
5.1%
길 3
 
5.1%
운 2
 
3.4%
Other values (13) 17
28.8%
ASCII
ValueCountFrequency (%)
4 8
33.3%
2 6
25.0%
6 3
 
12.5%
8 3
 
12.5%
3 2
 
8.3%
7 2
 
8.3%

방향정보1(ToTheWay)도로종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1380 
NR
 
33
ER
 
12
RR
 
8

Length

Max length4
Median length4
Mean length3.9260293
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> 1380
96.3%
NR 33
 
2.3%
ER 12
 
0.8%
RR 8
 
0.6%

Length

2023-12-12T21:13:53.469044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:53.615805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1380
96.3%
nr 33
 
2.3%
er 12
 
0.8%
rr 8
 
0.6%

방향정보1(ToTheWay)노선번호
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1308 
46
 
40
6
 
17
47
 
11
100
 
10
Other values (12)
 
47

Length

Max length6
Median length4
Mean length3.8513608
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1308
91.3%
46 40
 
2.8%
6 17
 
1.2%
47 11
 
0.8%
100 10
 
0.7%
43 9
 
0.6%
60 8
 
0.6%
362 8
 
0.6%
387 4
 
0.3%
45 4
 
0.3%
Other values (7) 14
 
1.0%

Length

2023-12-12T21:13:53.769334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1308
90.8%
46 43
 
3.0%
6 22
 
1.5%
47 14
 
1.0%
43 11
 
0.8%
100 10
 
0.7%
60 9
 
0.6%
362 8
 
0.6%
387 4
 
0.3%
45 4
 
0.3%
Other values (3) 7
 
0.5%

방향정보1(ToTheWay)도로명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1428 
100
 
4
경춘로
 
1

Length

Max length4
Median length4
Mean length3.9965108
Min length3

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> 1428
99.7%
100 4
 
0.3%
경춘로 1
 
0.1%

Length

2023-12-12T21:13:53.978016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:54.116265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1428
99.7%
100 4
 
0.3%
경춘로 1
 
0.1%

방향정보1원거리안내지명
Text

MISSING 

Distinct124
Distinct (%)23.0%
Missing893
Missing (%)62.3%
Memory size11.3 KiB
2023-12-12T21:13:54.375766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length2
Mean length3.1462963
Min length2

Characters and Unicode

Total characters1699
Distinct characters158
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

Unique67 ?
Unique (%)12.4%

Sample

1st row일동
2nd row서울
3rd row일동
4th row일동
5th row일동
ValueCountFrequency (%)
서울 96
 
16.4%
춘천 86
 
14.7%
구리 29
 
5.0%
양평 20
 
3.4%
호평ic 17
 
2.9%
포천 15
 
2.6%
의정부 15
 
2.6%
일동 14
 
2.4%
수레로 11
 
1.9%
태릉 11
 
1.9%
Other values (124) 270
46.2%
2023-12-12T21:13:54.871657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 116
 
6.8%
서 104
 
6.1%
울 102
 
6.0%
춘 87
 
5.1%
평 74
 
4.4%
구 50
 
2.9%
동 44
 
2.6%
44
 
2.6%
, 42
 
2.5%
리 39
 
2.3%
Other values (148) 997
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1505
88.6%
Uppercase Letter 59
 
3.5%
Space Separator 44
 
2.6%
Other Punctuation 43
 
2.5%
Decimal Number 28
 
1.6%
Open Punctuation 8
 
0.5%
Close Punctuation 8
 
0.5%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 116
 
7.7%
서 104
 
6.9%
울 102
 
6.8%
춘 87
 
5.8%
평 74
 
4.9%
구 50
 
3.3%
동 44
 
2.9%
리 39
 
2.6%
마 39
 
2.6%
양 33
 
2.2%
Other values (129) 817
54.3%
Uppercase Letter
ValueCountFrequency (%)
I 23
39.0%
C 23
39.0%
T 4
 
6.8%
P 4
 
6.8%
A 4
 
6.8%
V 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 9
32.1%
3 7
25.0%
2 7
25.0%
5 3
 
10.7%
6 1
 
3.6%
8 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 42
97.7%
. 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
i 2
50.0%
c 2
50.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1505
88.6%
Common 131
 
7.7%
Latin 63
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 116
 
7.7%
서 104
 
6.9%
울 102
 
6.8%
춘 87
 
5.8%
평 74
 
4.9%
구 50
 
3.3%
동 44
 
2.9%
리 39
 
2.6%
마 39
 
2.6%
양 33
 
2.2%
Other values (129) 817
54.3%
Common
ValueCountFrequency (%)
44
33.6%
, 42
32.1%
1 9
 
6.9%
( 8
 
6.1%
) 8
 
6.1%
3 7
 
5.3%
2 7
 
5.3%
5 3
 
2.3%
6 1
 
0.8%
. 1
 
0.8%
Latin
ValueCountFrequency (%)
I 23
36.5%
C 23
36.5%
T 4
 
6.3%
P 4
 
6.3%
A 4
 
6.3%
i 2
 
3.2%
c 2
 
3.2%
V 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1505
88.6%
ASCII 194
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 116
 
7.7%
서 104
 
6.9%
울 102
 
6.8%
춘 87
 
5.8%
평 74
 
4.9%
구 50
 
3.3%
동 44
 
2.9%
리 39
 
2.6%
마 39
 
2.6%
양 33
 
2.2%
Other values (129) 817
54.3%
ASCII
ValueCountFrequency (%)
44
22.7%
, 42
21.6%
I 23
11.9%
C 23
11.9%
1 9
 
4.6%
( 8
 
4.1%
) 8
 
4.1%
3 7
 
3.6%
2 7
 
3.6%
T 4
 
2.1%
Other values (9) 19
9.8%

방향정보1근거리안내지명(1)
Text

MISSING 

Distinct127
Distinct (%)25.2%
Missing930
Missing (%)64.9%
Memory size11.3 KiB
2023-12-12T21:13:55.157692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length3.8190855
Min length2

Characters and Unicode

Total characters1921
Distinct characters163
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

Unique58 ?
Unique (%)11.5%

Sample

1st row퇴계원
2nd row의정부
3rd row구리
4th row의정부
5th row의정부
ValueCountFrequency (%)
구리 37
 
6.7%
퇴계원 29
 
5.3%
청평 28
 
5.1%
마석 28
 
5.1%
서울 22
 
4.0%
의정부 18
 
3.3%
춘천 18
 
3.3%
덕소 17
 
3.1%
진접 16
 
2.9%
금곡 14
 
2.5%
Other values (119) 323
58.7%
2023-12-12T21:13:55.618453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
평 77
 
4.0%
리 63
 
3.3%
양 57
 
3.0%
48
 
2.5%
구 46
 
2.4%
마 43
 
2.2%
청 42
 
2.2%
원 40
 
2.1%
주 38
 
2.0%
서 37
 
1.9%
Other values (153) 1430
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1703
88.7%
Uppercase Letter 107
 
5.6%
Space Separator 48
 
2.5%
Other Punctuation 34
 
1.8%
Decimal Number 17
 
0.9%
Lowercase Letter 10
 
0.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 77
 
4.5%
리 63
 
3.7%
양 57
 
3.3%
구 46
 
2.7%
마 43
 
2.5%
청 42
 
2.5%
원 40
 
2.3%
주 38
 
2.2%
서 37
 
2.2%
남 35
 
2.1%
Other values (137) 1225
71.9%
Uppercase Letter
ValueCountFrequency (%)
C 28
26.2%
I 28
26.2%
T 17
15.9%
A 17
15.9%
P 17
15.9%
Decimal Number
ValueCountFrequency (%)
2 7
41.2%
1 5
29.4%
3 4
23.5%
8 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 31
91.2%
. 3
 
8.8%
Lowercase Letter
ValueCountFrequency (%)
i 5
50.0%
c 5
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1703
88.7%
Latin 117
 
6.1%
Common 101
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 77
 
4.5%
리 63
 
3.7%
양 57
 
3.3%
구 46
 
2.7%
마 43
 
2.5%
청 42
 
2.5%
원 40
 
2.3%
주 38
 
2.2%
서 37
 
2.2%
남 35
 
2.1%
Other values (137) 1225
71.9%
Common
ValueCountFrequency (%)
48
47.5%
, 31
30.7%
2 7
 
6.9%
1 5
 
5.0%
3 4
 
4.0%
. 3
 
3.0%
8 1
 
1.0%
( 1
 
1.0%
) 1
 
1.0%
Latin
ValueCountFrequency (%)
C 28
23.9%
I 28
23.9%
T 17
14.5%
A 17
14.5%
P 17
14.5%
i 5
 
4.3%
c 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1703
88.7%
ASCII 218
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
평 77
 
4.5%
리 63
 
3.7%
양 57
 
3.3%
구 46
 
2.7%
마 43
 
2.5%
청 42
 
2.5%
원 40
 
2.3%
주 38
 
2.2%
서 37
 
2.2%
남 35
 
2.1%
Other values (137) 1225
71.9%
ASCII
ValueCountFrequency (%)
48
22.0%
, 31
14.2%
C 28
12.8%
I 28
12.8%
T 17
 
7.8%
A 17
 
7.8%
P 17
 
7.8%
2 7
 
3.2%
i 5
 
2.3%
c 5
 
2.3%
Other values (6) 15
 
6.9%

방향정보1근거리안내지명(2)
Text

MISSING 

Distinct40
Distinct (%)58.8%
Missing1365
Missing (%)95.3%
Memory size11.3 KiB
2023-12-12T21:13:55.870045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length3.7794118
Min length2

Characters and Unicode

Total characters257
Distinct characters91
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

Unique26 ?
Unique (%)38.2%

Sample

1st row별내IC
2nd row별내IC
3rd row별내IC
4th row밝은광장
5th row구봉마을
ValueCountFrequency (%)
진건 6
 
8.5%
화도 5
 
7.0%
금곡 4
 
5.6%
남양주시청 4
 
5.6%
구리 3
 
4.2%
별내ic 3
 
4.2%
퇴계원 3
 
4.2%
평내역 2
 
2.8%
신월리 2
 
2.8%
오남 2
 
2.8%
Other values (33) 37
52.1%
2023-12-12T21:13:56.306124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
내 12
 
4.7%
양 10
 
3.9%
남 9
 
3.5%
평 8
 
3.1%
주 8
 
3.1%
별 7
 
2.7%
진 6
 
2.3%
리 6
 
2.3%
건 6
 
2.3%
구 6
 
2.3%
Other values (81) 179
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
85.6%
Uppercase Letter 21
 
8.2%
Decimal Number 7
 
2.7%
Other Punctuation 6
 
2.3%
Space Separator 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 12
 
5.5%
양 10
 
4.5%
남 9
 
4.1%
평 8
 
3.6%
주 8
 
3.6%
별 7
 
3.2%
진 6
 
2.7%
리 6
 
2.7%
건 6
 
2.7%
구 6
 
2.7%
Other values (70) 142
64.5%
Uppercase Letter
ValueCountFrequency (%)
T 5
23.8%
P 5
23.8%
A 5
23.8%
I 3
14.3%
C 3
14.3%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
3 2
28.6%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
85.6%
Latin 21
 
8.2%
Common 16
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 12
 
5.5%
양 10
 
4.5%
남 9
 
4.1%
평 8
 
3.6%
주 8
 
3.6%
별 7
 
3.2%
진 6
 
2.7%
리 6
 
2.7%
건 6
 
2.7%
구 6
 
2.7%
Other values (70) 142
64.5%
Common
ValueCountFrequency (%)
2 4
25.0%
, 4
25.0%
3
18.8%
. 2
12.5%
3 2
12.5%
1 1
 
6.2%
Latin
ValueCountFrequency (%)
T 5
23.8%
P 5
23.8%
A 5
23.8%
I 3
14.3%
C 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
85.6%
ASCII 37
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
내 12
 
5.5%
양 10
 
4.5%
남 9
 
4.1%
평 8
 
3.6%
주 8
 
3.6%
별 7
 
3.2%
진 6
 
2.7%
리 6
 
2.7%
건 6
 
2.7%
구 6
 
2.7%
Other values (70) 142
64.5%
ASCII
ValueCountFrequency (%)
T 5
13.5%
P 5
13.5%
A 5
13.5%
2 4
10.8%
, 4
10.8%
3
8.1%
I 3
8.1%
C 3
8.1%
. 2
 
5.4%
3 2
 
5.4%

방향정보2
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.1%
Missing906
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean6.0094877
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T21:13:56.448319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum83
Range82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.316389
Coefficient of variation (CV)2.8815084
Kurtosis15.455194
Mean6.0094877
Median Absolute Deviation (MAD)0
Skewness4.1690604
Sum3167
Variance299.85732
MonotonicityNot monotonic
2023-12-12T21:13:56.540315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 388
27.1%
3 74
 
5.2%
1 39
 
2.7%
82 22
 
1.5%
81 3
 
0.2%
83 1
 
0.1%
(Missing) 906
63.2%
ValueCountFrequency (%)
1 39
 
2.7%
2 388
27.1%
3 74
 
5.2%
81 3
 
0.2%
82 22
 
1.5%
83 1
 
0.1%
ValueCountFrequency (%)
83 1
 
0.1%
82 22
 
1.5%
81 3
 
0.2%
3 74
 
5.2%
2 388
27.1%
1 39
 
2.7%

방향정보2(OnTheWay)도로종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1375 
NR
 
30
RR
 
14
ER
 
11
UR
 
3

Length

Max length4
Median length4
Mean length3.9190509
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1375
96.0%
NR 30
 
2.1%
RR 14
 
1.0%
ER 11
 
0.8%
UR 3
 
0.2%

Length

2023-12-12T21:13:56.667282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:56.771478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1375
96.0%
nr 30
 
2.1%
rr 14
 
1.0%
er 11
 
0.8%
ur 3
 
0.2%

방향정보2(OnTheWay)노선번호
Categorical

IMBALANCE 

Distinct20
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1309 
46
 
34
43
 
15
29
 
9
45
 
9
Other values (15)
 
57

Length

Max length6
Median length4
Mean length3.8541521
Min length1

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row43
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1309
91.3%
46 34
 
2.4%
43 15
 
1.0%
29 9
 
0.6%
45 9
 
0.6%
100 9
 
0.6%
86 9
 
0.6%
383 8
 
0.6%
362 8
 
0.6%
6 5
 
0.3%
Other values (10) 18
 
1.3%

Length

2023-12-12T21:13:56.868752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1309
91.3%
46 34
 
2.4%
43 15
 
1.0%
29 9
 
0.6%
45 9
 
0.6%
100 9
 
0.6%
86 9
 
0.6%
383 8
 
0.6%
362 8
 
0.6%
47 5
 
0.3%
Other values (10) 18
 
1.3%

방향정보2(OnTheWay)도로명
Text

MISSING 

Distinct11
Distinct (%)73.3%
Missing1418
Missing (%)99.0%
Memory size11.3 KiB
2023-12-12T21:13:57.007472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.6
Min length2

Characters and Unicode

Total characters84
Distinct characters33
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

Unique8 ?
Unique (%)53.3%

Sample

1st row43
2nd row조안교차로
3rd row조안교차로
4th row진중삼거리
5th row조안교차로
ValueCountFrequency (%)
조안교차로 3
20.0%
경춘로2248번길 2
13.3%
가운3교차로 2
13.3%
43 1
 
6.7%
진중삼거리 1
 
6.7%
창현교차로 1
 
6.7%
경춘로 1
 
6.7%
다산삼거리 1
 
6.7%
다산중앙로81번길 1
 
6.7%
편곡대로 1
 
6.7%
2023-12-12T21:13:57.263800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 11
 
13.1%
교 6
 
7.1%
차 6
 
7.1%
2 4
 
4.8%
조 3
 
3.6%
번 3
 
3.6%
리 3
 
3.6%
3 3
 
3.6%
길 3
 
3.6%
4 3
 
3.6%
Other values (23) 39
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
83.3%
Decimal Number 14
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 11
15.7%
교 6
 
8.6%
차 6
 
8.6%
조 3
 
4.3%
번 3
 
4.3%
리 3
 
4.3%
길 3
 
4.3%
거 3
 
4.3%
춘 3
 
4.3%
경 3
 
4.3%
Other values (18) 26
37.1%
Decimal Number
ValueCountFrequency (%)
2 4
28.6%
3 3
21.4%
4 3
21.4%
8 3
21.4%
1 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
83.3%
Common 14
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 11
15.7%
교 6
 
8.6%
차 6
 
8.6%
조 3
 
4.3%
번 3
 
4.3%
리 3
 
4.3%
길 3
 
4.3%
거 3
 
4.3%
춘 3
 
4.3%
경 3
 
4.3%
Other values (18) 26
37.1%
Common
ValueCountFrequency (%)
2 4
28.6%
3 3
21.4%
4 3
21.4%
8 3
21.4%
1 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
83.3%
ASCII 14
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 11
15.7%
교 6
 
8.6%
차 6
 
8.6%
조 3
 
4.3%
번 3
 
4.3%
리 3
 
4.3%
길 3
 
4.3%
거 3
 
4.3%
춘 3
 
4.3%
경 3
 
4.3%
Other values (18) 26
37.1%
ASCII
ValueCountFrequency (%)
2 4
28.6%
3 3
21.4%
4 3
21.4%
8 3
21.4%
1 1
 
7.1%

방향정보2(ToTheWay)도로종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1380 
NR
 
26
ER
 
16
RR
 
11

Length

Max length4
Median length4
Mean length3.9260293
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> 1380
96.3%
NR 26
 
1.8%
ER 16
 
1.1%
RR 11
 
0.8%

Length

2023-12-12T21:13:57.629117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:57.720500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1380
96.3%
nr 26
 
1.8%
er 16
 
1.1%
rr 11
 
0.8%

방향정보2(ToTheWay)노선번호
Categorical

IMBALANCE 

Distinct21
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1304 
46
 
34
100
 
16
47
 
14
6
 
12
Other values (16)
 
53

Length

Max length7
Median length4
Mean length3.85485
Min length1

Unique

Unique6 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1304
91.0%
46 34
 
2.4%
100 16
 
1.1%
47 14
 
1.0%
6 12
 
0.8%
362 10
 
0.7%
86 7
 
0.5%
43 6
 
0.4%
60 6
 
0.4%
45 4
 
0.3%
Other values (11) 20
 
1.4%

Length

2023-12-12T21:13:57.812276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1304
90.6%
46 36
 
2.5%
100 17
 
1.2%
6 16
 
1.1%
47 14
 
1.0%
362 10
 
0.7%
60 7
 
0.5%
86 7
 
0.5%
43 6
 
0.4%
45 6
 
0.4%
Other values (7) 16
 
1.1%

방향정보2(ToTheWay)도로명
Text

MISSING 

Distinct18
Distinct (%)72.0%
Missing1408
Missing (%)98.3%
Memory size11.3 KiB
2023-12-12T21:13:57.963741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.56
Min length1

Characters and Unicode

Total characters114
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)52.0%

Sample

1st row6, 100
2nd row6
3rd row창현로
4th row경춘로1015번길
5th row사릉로, 금곡로
ValueCountFrequency (%)
호평중앙로 4
 
14.3%
창현로 2
 
7.1%
아리랑로 2
 
7.1%
평내로 2
 
7.1%
6 2
 
7.1%
수레로 2
 
7.1%
고산로 1
 
3.6%
강변북로 1
 
3.6%
술막길 1
 
3.6%
호평길 1
 
3.6%
Other values (10) 10
35.7%
2023-12-12T21:13:58.259897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 23
20.2%
평 8
 
7.0%
호 6
 
5.3%
0 4
 
3.5%
길 4
 
3.5%
중 4
 
3.5%
앙 4
 
3.5%
수 3
 
2.6%
, 3
 
2.6%
3
 
2.6%
Other values (34) 52
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
84.2%
Decimal Number 12
 
10.5%
Other Punctuation 3
 
2.6%
Space Separator 3
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 23
24.0%
평 8
 
8.3%
호 6
 
6.2%
길 4
 
4.2%
중 4
 
4.2%
앙 4
 
4.2%
수 3
 
3.1%
춘 2
 
2.1%
산 2
 
2.1%
곡 2
 
2.1%
Other values (27) 38
39.6%
Decimal Number
ValueCountFrequency (%)
0 4
33.3%
1 3
25.0%
9 2
16.7%
6 2
16.7%
5 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
84.2%
Common 18
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 23
24.0%
평 8
 
8.3%
호 6
 
6.2%
길 4
 
4.2%
중 4
 
4.2%
앙 4
 
4.2%
수 3
 
3.1%
춘 2
 
2.1%
산 2
 
2.1%
곡 2
 
2.1%
Other values (27) 38
39.6%
Common
ValueCountFrequency (%)
0 4
22.2%
, 3
16.7%
3
16.7%
1 3
16.7%
9 2
11.1%
6 2
11.1%
5 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
84.2%
ASCII 18
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 23
24.0%
평 8
 
8.3%
호 6
 
6.2%
길 4
 
4.2%
중 4
 
4.2%
앙 4
 
4.2%
수 3
 
3.1%
춘 2
 
2.1%
산 2
 
2.1%
곡 2
 
2.1%
Other values (27) 38
39.6%
ASCII
ValueCountFrequency (%)
0 4
22.2%
, 3
16.7%
3
16.7%
1 3
16.7%
9 2
11.1%
6 2
11.1%
5 1
 
5.6%

방향정보2원거리안내지명
Text

MISSING 

Distinct134
Distinct (%)30.2%
Missing989
Missing (%)69.0%
Memory size11.3 KiB
2023-12-12T21:13:58.588072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length2
Mean length3.5382883
Min length2

Characters and Unicode

Total characters1571
Distinct characters159
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

Unique76 ?
Unique (%)17.1%

Sample

1st row의정부
2nd row진건
3rd row춘천
4th row춘천
5th row춘천
ValueCountFrequency (%)
서울 51
 
10.5%
춘천 45
 
9.2%
덕소 20
 
4.1%
일동 16
 
3.3%
의정부 13
 
2.7%
진건 13
 
2.7%
호평ic 11
 
2.3%
천마산군립공원 10
 
2.0%
퇴계원 10
 
2.0%
마석 10
 
2.0%
Other values (132) 289
59.2%
2023-12-12T21:13:59.193299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
평 78
 
5.0%
천 65
 
4.1%
서 60
 
3.8%
울 59
 
3.8%
동 56
 
3.6%
춘 51
 
3.2%
44
 
2.8%
마 36
 
2.3%
, 34
 
2.2%
호 34
 
2.2%
Other values (149) 1054
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1374
87.5%
Uppercase Letter 47
 
3.0%
Space Separator 44
 
2.8%
Other Punctuation 43
 
2.7%
Decimal Number 29
 
1.8%
Open Punctuation 13
 
0.8%
Close Punctuation 13
 
0.8%
Lowercase Letter 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 78
 
5.7%
천 65
 
4.7%
서 60
 
4.4%
울 59
 
4.3%
동 56
 
4.1%
춘 51
 
3.7%
마 36
 
2.6%
호 34
 
2.5%
내 30
 
2.2%
진 30
 
2.2%
Other values (132) 875
63.7%
Uppercase Letter
ValueCountFrequency (%)
C 16
34.0%
I 16
34.0%
P 5
 
10.6%
T 5
 
10.6%
A 5
 
10.6%
Decimal Number
ValueCountFrequency (%)
1 13
44.8%
2 8
27.6%
3 5
 
17.2%
5 2
 
6.9%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 34
79.1%
. 9
 
20.9%
Lowercase Letter
ValueCountFrequency (%)
i 4
50.0%
c 4
50.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1374
87.5%
Common 142
 
9.0%
Latin 55
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 78
 
5.7%
천 65
 
4.7%
서 60
 
4.4%
울 59
 
4.3%
동 56
 
4.1%
춘 51
 
3.7%
마 36
 
2.6%
호 34
 
2.5%
내 30
 
2.2%
진 30
 
2.2%
Other values (132) 875
63.7%
Common
ValueCountFrequency (%)
44
31.0%
, 34
23.9%
( 13
 
9.2%
1 13
 
9.2%
) 13
 
9.2%
. 9
 
6.3%
2 8
 
5.6%
3 5
 
3.5%
5 2
 
1.4%
4 1
 
0.7%
Latin
ValueCountFrequency (%)
C 16
29.1%
I 16
29.1%
P 5
 
9.1%
T 5
 
9.1%
A 5
 
9.1%
i 4
 
7.3%
c 4
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1374
87.5%
ASCII 197
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
평 78
 
5.7%
천 65
 
4.7%
서 60
 
4.4%
울 59
 
4.3%
동 56
 
4.1%
춘 51
 
3.7%
마 36
 
2.6%
호 34
 
2.5%
내 30
 
2.2%
진 30
 
2.2%
Other values (132) 875
63.7%
ASCII
ValueCountFrequency (%)
44
22.3%
, 34
17.3%
C 16
 
8.1%
I 16
 
8.1%
( 13
 
6.6%
1 13
 
6.6%
) 13
 
6.6%
. 9
 
4.6%
2 8
 
4.1%
P 5
 
2.5%
Other values (7) 26
13.2%

방향정보2근거리안내지명(1)
Text

MISSING 

Distinct137
Distinct (%)32.9%
Missing1016
Missing (%)70.9%
Memory size11.3 KiB
2023-12-12T21:13:59.497916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.1247002
Min length2

Characters and Unicode

Total characters1720
Distinct characters170
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

Unique65 ?
Unique (%)15.6%

Sample

1st row일동
2nd row퇴계원
3rd row화도
4th row화도
5th row화도
ValueCountFrequency (%)
구리 19
 
4.3%
서울 17
 
3.8%
진접 15
 
3.4%
퇴계원 15
 
3.4%
화도ic 14
 
3.1%
남양주시청 13
 
2.9%
금곡 12
 
2.7%
양평 10
 
2.2%
덕소 10
 
2.2%
마석 10
 
2.2%
Other values (127) 310
69.7%
2023-12-12T21:14:00.042640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
평 64
 
3.7%
리 57
 
3.3%
학 53
 
3.1%
양 48
 
2.8%
교 43
 
2.5%
동 39
 
2.3%
도 39
 
2.3%
호 37
 
2.2%
화 37
 
2.2%
주 36
 
2.1%
Other values (160) 1267
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1531
89.0%
Uppercase Letter 84
 
4.9%
Other Punctuation 29
 
1.7%
Space Separator 28
 
1.6%
Lowercase Letter 21
 
1.2%
Decimal Number 19
 
1.1%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 64
 
4.2%
리 57
 
3.7%
학 53
 
3.5%
양 48
 
3.1%
교 43
 
2.8%
동 39
 
2.5%
도 39
 
2.5%
호 37
 
2.4%
화 37
 
2.4%
주 36
 
2.4%
Other values (143) 1078
70.4%
Uppercase Letter
ValueCountFrequency (%)
C 30
35.7%
I 30
35.7%
T 8
 
9.5%
P 8
 
9.5%
A 8
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 10
52.6%
2 5
26.3%
9 3
 
15.8%
8 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
c 10
47.6%
i 10
47.6%
u 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 20
69.0%
. 9
31.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1531
89.0%
Latin 105
 
6.1%
Common 84
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 64
 
4.2%
리 57
 
3.7%
학 53
 
3.5%
양 48
 
3.1%
교 43
 
2.8%
동 39
 
2.5%
도 39
 
2.5%
호 37
 
2.4%
화 37
 
2.4%
주 36
 
2.4%
Other values (143) 1078
70.4%
Common
ValueCountFrequency (%)
28
33.3%
, 20
23.8%
1 10
 
11.9%
. 9
 
10.7%
2 5
 
6.0%
) 4
 
4.8%
( 4
 
4.8%
9 3
 
3.6%
8 1
 
1.2%
Latin
ValueCountFrequency (%)
C 30
28.6%
I 30
28.6%
c 10
 
9.5%
i 10
 
9.5%
T 8
 
7.6%
P 8
 
7.6%
A 8
 
7.6%
u 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1531
89.0%
ASCII 189
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
평 64
 
4.2%
리 57
 
3.7%
학 53
 
3.5%
양 48
 
3.1%
교 43
 
2.8%
동 39
 
2.5%
도 39
 
2.5%
호 37
 
2.4%
화 37
 
2.4%
주 36
 
2.4%
Other values (143) 1078
70.4%
ASCII
ValueCountFrequency (%)
C 30
15.9%
I 30
15.9%
28
14.8%
, 20
10.6%
c 10
 
5.3%
1 10
 
5.3%
i 10
 
5.3%
. 9
 
4.8%
T 8
 
4.2%
P 8
 
4.2%
Other values (7) 26
13.8%

방향정보2근거리안내지명(2)
Text

MISSING 

Distinct48
Distinct (%)57.8%
Missing1350
Missing (%)94.2%
Memory size11.3 KiB
2023-12-12T21:14:00.322564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length4.7108434
Min length2

Characters and Unicode

Total characters391
Distinct characters115
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

Unique32 ?
Unique (%)38.6%

Sample

1st row뱅이삼거리
2nd row뱅이삼거리
3rd row뱅이삼거리
4th row용암리
5th row덕내로
ValueCountFrequency (%)
마석 8
 
9.0%
덕내로 7
 
7.9%
구리농수산물도매시장 4
 
4.5%
호평ic 3
 
3.4%
평내마을 3
 
3.4%
진건 3
 
3.4%
뱅이삼거리 3
 
3.4%
구리 3
 
3.4%
별내면사무실 3
 
3.4%
축령산자연휴양림 3
 
3.4%
Other values (42) 49
55.1%
2023-12-12T21:14:00.833461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
내 20
 
5.1%
리 15
 
3.8%
마 14
 
3.6%
로 10
 
2.6%
산 10
 
2.6%
진 9
 
2.3%
평 9
 
2.3%
석 8
 
2.0%
별 8
 
2.0%
도 8
 
2.0%
Other values (105) 280
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
90.0%
Uppercase Letter 14
 
3.6%
Decimal Number 12
 
3.1%
Other Punctuation 7
 
1.8%
Space Separator 6
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 20
 
5.7%
리 15
 
4.3%
마 14
 
4.0%
로 10
 
2.8%
산 10
 
2.8%
진 9
 
2.6%
평 9
 
2.6%
석 8
 
2.3%
별 8
 
2.3%
도 8
 
2.3%
Other values (92) 241
68.5%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
2 4
33.3%
5 2
16.7%
6 1
 
8.3%
9 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
I 4
28.6%
T 2
14.3%
P 2
14.3%
A 2
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
, 2
 
28.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
90.0%
Common 25
 
6.4%
Latin 14
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 20
 
5.7%
리 15
 
4.3%
마 14
 
4.0%
로 10
 
2.8%
산 10
 
2.8%
진 9
 
2.6%
평 9
 
2.6%
석 8
 
2.3%
별 8
 
2.3%
도 8
 
2.3%
Other values (92) 241
68.5%
Common
ValueCountFrequency (%)
6
24.0%
. 5
20.0%
1 4
16.0%
2 4
16.0%
5 2
 
8.0%
, 2
 
8.0%
6 1
 
4.0%
9 1
 
4.0%
Latin
ValueCountFrequency (%)
C 4
28.6%
I 4
28.6%
T 2
14.3%
P 2
14.3%
A 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
90.0%
ASCII 39
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
내 20
 
5.7%
리 15
 
4.3%
마 14
 
4.0%
로 10
 
2.8%
산 10
 
2.8%
진 9
 
2.6%
평 9
 
2.6%
석 8
 
2.3%
별 8
 
2.3%
도 8
 
2.3%
Other values (92) 241
68.5%
ASCII
ValueCountFrequency (%)
6
15.4%
. 5
12.8%
1 4
10.3%
C 4
10.3%
2 4
10.3%
I 4
10.3%
5 2
 
5.1%
T 2
 
5.1%
P 2
 
5.1%
, 2
 
5.1%
Other values (3) 4
10.3%

방향정보3
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1059 
3
325 
2
 
46
82
 
1
83
 
1

Length

Max length4
Median length4
Mean length3.2184229
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1059
73.9%
3 325
 
22.7%
2 46
 
3.2%
82 1
 
0.1%
83 1
 
0.1%
1 1
 
0.1%

Length

2023-12-12T21:14:01.021768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:01.188749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1059
73.9%
3 325
 
22.7%
2 46
 
3.2%
82 1
 
0.1%
83 1
 
0.1%
1 1
 
0.1%

방향정보3(OnTheWay)도로종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1406 
RR
 
15
NR
 
7
UR
 
3
ER
 
2

Length

Max length4
Median length4
Mean length3.9623168
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1406
98.1%
RR 15
 
1.0%
NR 7
 
0.5%
UR 3
 
0.2%
ER 2
 
0.1%

Length

2023-12-12T21:14:01.383592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:01.537510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1406
98.1%
rr 15
 
1.0%
nr 7
 
0.5%
ur 3
 
0.2%
er 2
 
0.1%

방향정보3(OnTheWay)노선번호
Categorical

IMBALANCE 

Distinct18
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1359 
46
 
22
6
 
11
86
 
9
362
 
9
Other values (13)
 
23

Length

Max length5
Median length4
Mean length3.9099791
Min length1

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row43
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1359
94.8%
46 22
 
1.5%
6 11
 
0.8%
86 9
 
0.6%
362 9
 
0.6%
383 3
 
0.2%
6, 45 3
 
0.2%
43 3
 
0.2%
390 2
 
0.1%
352 2
 
0.1%
Other values (8) 10
 
0.7%

Length

2023-12-12T21:14:01.725336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1359
94.6%
46 22
 
1.5%
6 14
 
1.0%
86 9
 
0.6%
362 9
 
0.6%
45 4
 
0.3%
383 3
 
0.2%
43 3
 
0.2%
47 2
 
0.1%
100 2
 
0.1%
Other values (7) 9
 
0.6%

방향정보3(OnTheWay)도로명
Text

MISSING 

Distinct9
Distinct (%)60.0%
Missing1418
Missing (%)99.0%
Memory size11.3 KiB
2023-12-12T21:14:01.960800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.6
Min length3

Characters and Unicode

Total characters84
Distinct characters30
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

Unique5 ?
Unique (%)33.3%

Sample

1st row조안교차로
2nd row조안교차로
3rd row진중삼거리
4th row조안교차로
5th row경춘로
ValueCountFrequency (%)
조안교차로 3
20.0%
경춘로2248번길 3
20.0%
경춘로 2
13.3%
가운3교차로 2
13.3%
진중삼거리 1
 
6.7%
창현교차로 1
 
6.7%
단삼거리 1
 
6.7%
편곡대로 1
 
6.7%
양정동사거리 1
 
6.7%
2023-12-12T21:14:02.345585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 12
 
14.3%
교 6
 
7.1%
차 6
 
7.1%
2 6
 
7.1%
경 5
 
6.0%
춘 5
 
6.0%
조 3
 
3.6%
안 3
 
3.6%
리 3
 
3.6%
거 3
 
3.6%
Other values (20) 32
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
83.3%
Decimal Number 14
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 12
17.1%
교 6
 
8.6%
차 6
 
8.6%
경 5
 
7.1%
춘 5
 
7.1%
조 3
 
4.3%
안 3
 
4.3%
리 3
 
4.3%
거 3
 
4.3%
길 3
 
4.3%
Other values (16) 21
30.0%
Decimal Number
ValueCountFrequency (%)
2 6
42.9%
8 3
21.4%
4 3
21.4%
3 2
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
83.3%
Common 14
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 12
17.1%
교 6
 
8.6%
차 6
 
8.6%
경 5
 
7.1%
춘 5
 
7.1%
조 3
 
4.3%
안 3
 
4.3%
리 3
 
4.3%
거 3
 
4.3%
길 3
 
4.3%
Other values (16) 21
30.0%
Common
ValueCountFrequency (%)
2 6
42.9%
8 3
21.4%
4 3
21.4%
3 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
83.3%
ASCII 14
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 12
17.1%
교 6
 
8.6%
차 6
 
8.6%
경 5
 
7.1%
춘 5
 
7.1%
조 3
 
4.3%
안 3
 
4.3%
리 3
 
4.3%
거 3
 
4.3%
길 3
 
4.3%
Other values (16) 21
30.0%
ASCII
ValueCountFrequency (%)
2 6
42.9%
8 3
21.4%
4 3
21.4%
3 2
 
14.3%

방향정보3(ToTheWay)도로종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1419 
RR
 
8
NR
 
4
ER
 
2

Length

Max length4
Median length4
Mean length3.9804606
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> 1419
99.0%
RR 8
 
0.6%
NR 4
 
0.3%
ER 2
 
0.1%

Length

2023-12-12T21:14:02.540669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:02.725000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1419
99.0%
rr 8
 
0.6%
nr 4
 
0.3%
er 2
 
0.1%

방향정보3(ToTheWay)노선번호
Categorical

IMBALANCE 

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1342 
46
 
25
362
 
14
6
 
9
47
 
8
Other values (11)
 
35

Length

Max length5
Median length4
Mean length3.9002094
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1342
93.6%
46 25
 
1.7%
362 14
 
1.0%
6 9
 
0.6%
47 8
 
0.6%
100 7
 
0.5%
383 7
 
0.5%
86 5
 
0.3%
6, 46 5
 
0.3%
314 2
 
0.1%
Other values (6) 9
 
0.6%

Length

2023-12-12T21:14:02.905816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1342
93.3%
46 30
 
2.1%
6 15
 
1.0%
362 14
 
1.0%
47 8
 
0.6%
100 7
 
0.5%
383 7
 
0.5%
86 5
 
0.3%
45 3
 
0.2%
314 2
 
0.1%
Other values (4) 6
 
0.4%

방향정보3(ToTheWay)도로명
Text

MISSING 

Distinct19
Distinct (%)70.4%
Missing1406
Missing (%)98.1%
Memory size11.3 KiB
2023-12-12T21:14:03.131495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.6296296
Min length1

Characters and Unicode

Total characters98
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)48.1%

Sample

1st row6
2nd row6
3rd row6, 100
4th row100
5th row6, 100
ValueCountFrequency (%)
호평중앙로 4
13.8%
6 4
13.8%
100 3
 
10.3%
술막길 2
 
6.9%
가운로 2
 
6.9%
수레로 2
 
6.9%
내부순환로 1
 
3.4%
녹촌로 1
 
3.4%
홍유릉로 1
 
3.4%
금곡로 1
 
3.4%
Other values (8) 8
27.6%
2023-12-12T21:14:03.489473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 17
 
17.3%
0 6
 
6.1%
길 5
 
5.1%
호 4
 
4.1%
중 4
 
4.1%
앙 4
 
4.1%
6 4
 
4.1%
평 4
 
4.1%
1 3
 
3.1%
릉 2
 
2.0%
Other values (36) 45
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
82.7%
Decimal Number 13
 
13.3%
Space Separator 2
 
2.0%
Other Punctuation 2
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 17
21.0%
길 5
 
6.2%
호 4
 
4.9%
중 4
 
4.9%
앙 4
 
4.9%
평 4
 
4.9%
릉 2
 
2.5%
산 2
 
2.5%
수 2
 
2.5%
레 2
 
2.5%
Other values (31) 35
43.2%
Decimal Number
ValueCountFrequency (%)
0 6
46.2%
6 4
30.8%
1 3
23.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
82.7%
Common 17
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 17
21.0%
길 5
 
6.2%
호 4
 
4.9%
중 4
 
4.9%
앙 4
 
4.9%
평 4
 
4.9%
릉 2
 
2.5%
산 2
 
2.5%
수 2
 
2.5%
레 2
 
2.5%
Other values (31) 35
43.2%
Common
ValueCountFrequency (%)
0 6
35.3%
6 4
23.5%
1 3
17.6%
2
 
11.8%
, 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
82.7%
ASCII 17
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 17
21.0%
길 5
 
6.2%
호 4
 
4.9%
중 4
 
4.9%
앙 4
 
4.9%
평 4
 
4.9%
릉 2
 
2.5%
산 2
 
2.5%
수 2
 
2.5%
레 2
 
2.5%
Other values (31) 35
43.2%
ASCII
ValueCountFrequency (%)
0 6
35.3%
6 4
23.5%
1 3
17.6%
2
 
11.8%
, 2
 
11.8%

방향정보3원거리안내지명
Text

MISSING 

Distinct119
Distinct (%)34.2%
Missing1085
Missing (%)75.7%
Memory size11.3 KiB
2023-12-12T21:14:03.823111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length3.8821839
Min length2

Characters and Unicode

Total characters1351
Distinct characters154
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

Unique63 ?
Unique (%)18.1%

Sample

1st row서울
2nd row진건
3rd row진건
4th row정은학교
5th row양평
ValueCountFrequency (%)
서울 36
 
9.1%
춘천 33
 
8.3%
호평ic 14
 
3.5%
수레로 14
 
3.5%
수동 14
 
3.5%
구리 13
 
3.3%
양평 10
 
2.5%
구룡마을 9
 
2.3%
apt 9
 
2.3%
마석 8
 
2.0%
Other values (116) 236
59.6%
2023-12-12T21:14:04.325369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
평 65
 
4.8%
48
 
3.6%
천 44
 
3.3%
서 41
 
3.0%
동 39
 
2.9%
울 38
 
2.8%
춘 38
 
2.8%
마 35
 
2.6%
리 35
 
2.6%
호 34
 
2.5%
Other values (144) 934
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1162
86.0%
Uppercase Letter 63
 
4.7%
Space Separator 48
 
3.6%
Decimal Number 36
 
2.7%
Other Punctuation 30
 
2.2%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 65
 
5.6%
천 44
 
3.8%
서 41
 
3.5%
동 39
 
3.4%
울 38
 
3.3%
춘 38
 
3.3%
마 35
 
3.0%
리 35
 
3.0%
호 34
 
2.9%
로 34
 
2.9%
Other values (132) 759
65.3%
Uppercase Letter
ValueCountFrequency (%)
C 18
28.6%
I 18
28.6%
T 9
14.3%
P 9
14.3%
A 9
14.3%
Decimal Number
ValueCountFrequency (%)
1 13
36.1%
2 13
36.1%
3 10
27.8%
Space Separator
ValueCountFrequency (%)
48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1162
86.0%
Common 126
 
9.3%
Latin 63
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 65
 
5.6%
천 44
 
3.8%
서 41
 
3.5%
동 39
 
3.4%
울 38
 
3.3%
춘 38
 
3.3%
마 35
 
3.0%
리 35
 
3.0%
호 34
 
2.9%
로 34
 
2.9%
Other values (132) 759
65.3%
Common
ValueCountFrequency (%)
48
38.1%
, 30
23.8%
1 13
 
10.3%
2 13
 
10.3%
3 10
 
7.9%
) 6
 
4.8%
( 6
 
4.8%
Latin
ValueCountFrequency (%)
C 18
28.6%
I 18
28.6%
T 9
14.3%
P 9
14.3%
A 9
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1162
86.0%
ASCII 189
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
평 65
 
5.6%
천 44
 
3.8%
서 41
 
3.5%
동 39
 
3.4%
울 38
 
3.3%
춘 38
 
3.3%
마 35
 
3.0%
리 35
 
3.0%
호 34
 
2.9%
로 34
 
2.9%
Other values (132) 759
65.3%
ASCII
ValueCountFrequency (%)
48
25.4%
, 30
15.9%
C 18
 
9.5%
I 18
 
9.5%
1 13
 
6.9%
2 13
 
6.9%
3 10
 
5.3%
T 9
 
4.8%
P 9
 
4.8%
A 9
 
4.8%
Other values (2) 12
 
6.3%

방향정보3근거리안내지명(1)
Text

MISSING 

Distinct105
Distinct (%)38.7%
Missing1162
Missing (%)81.1%
Memory size11.3 KiB
2023-12-12T21:14:04.637456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length4.8376384
Min length2

Characters and Unicode

Total characters1311
Distinct characters152
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

Unique53 ?
Unique (%)19.6%

Sample

1st row구리
2nd row사릉
3rd row사릉
4th row퇴계원IC
5th row양평
ValueCountFrequency (%)
구리 18
 
5.5%
춘천 16
 
4.9%
서울 15
 
4.6%
마석 13
 
4.0%
금곡 13
 
4.0%
apt 11
 
3.3%
퇴계원 8
 
2.4%
진건 8
 
2.4%
호평중학교 8
 
2.4%
천마산군립공원 8
 
2.4%
Other values (101) 211
64.1%
2023-12-12T21:14:05.100861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
4.4%
평 51
 
3.9%
, 40
 
3.1%
리 40
 
3.1%
교 37
 
2.8%
양 35
 
2.7%
학 34
 
2.6%
마 30
 
2.3%
호 29
 
2.2%
천 27
 
2.1%
Other values (142) 930
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1128
86.0%
Uppercase Letter 61
 
4.7%
Space Separator 58
 
4.4%
Other Punctuation 41
 
3.1%
Decimal Number 19
 
1.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 51
 
4.5%
리 40
 
3.5%
교 37
 
3.3%
양 35
 
3.1%
학 34
 
3.0%
마 30
 
2.7%
호 29
 
2.6%
천 27
 
2.4%
구 26
 
2.3%
원 25
 
2.2%
Other values (128) 794
70.4%
Uppercase Letter
ValueCountFrequency (%)
I 14
23.0%
C 14
23.0%
P 11
18.0%
A 11
18.0%
T 11
18.0%
Decimal Number
ValueCountFrequency (%)
2 9
47.4%
1 7
36.8%
3 2
 
10.5%
9 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 40
97.6%
. 1
 
2.4%
Space Separator
ValueCountFrequency (%)
58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1128
86.0%
Common 122
 
9.3%
Latin 61
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 51
 
4.5%
리 40
 
3.5%
교 37
 
3.3%
양 35
 
3.1%
학 34
 
3.0%
마 30
 
2.7%
호 29
 
2.6%
천 27
 
2.4%
구 26
 
2.3%
원 25
 
2.2%
Other values (128) 794
70.4%
Common
ValueCountFrequency (%)
58
47.5%
, 40
32.8%
2 9
 
7.4%
1 7
 
5.7%
) 2
 
1.6%
3 2
 
1.6%
( 2
 
1.6%
. 1
 
0.8%
9 1
 
0.8%
Latin
ValueCountFrequency (%)
I 14
23.0%
C 14
23.0%
P 11
18.0%
A 11
18.0%
T 11
18.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1128
86.0%
ASCII 183
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
31.7%
, 40
21.9%
I 14
 
7.7%
C 14
 
7.7%
P 11
 
6.0%
A 11
 
6.0%
T 11
 
6.0%
2 9
 
4.9%
1 7
 
3.8%
) 2
 
1.1%
Other values (4) 6
 
3.3%
Hangul
ValueCountFrequency (%)
평 51
 
4.5%
리 40
 
3.5%
교 37
 
3.3%
양 35
 
3.1%
학 34
 
3.0%
마 30
 
2.7%
호 29
 
2.6%
천 27
 
2.4%
구 26
 
2.3%
원 25
 
2.2%
Other values (128) 794
70.4%

방향정보3근거리안내지명(2)
Text

MISSING 

Distinct20
Distinct (%)76.9%
Missing1407
Missing (%)98.2%
Memory size11.3 KiB
2023-12-12T21:14:05.290829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length5.0769231
Min length2

Characters and Unicode

Total characters132
Distinct characters82
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

Unique18 ?
Unique (%)69.2%

Sample

1st row퇴계원IC
2nd row진건
3rd row진건
4th row봉선사, 아프리카박물관, 광릉분재예술공원
5th row봉선사
ValueCountFrequency (%)
진건 6
20.0%
봉선사 2
 
6.7%
사릉역 2
 
6.7%
유릉 1
 
3.3%
금호 1
 
3.3%
평내마을 1
 
3.3%
한양병원 1
 
3.3%
남양주시풍양출장소 1
 
3.3%
금곡 1
 
3.3%
신월리 1
 
3.3%
Other values (13) 13
43.3%
2023-12-12T21:14:05.663684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 6
 
4.5%
건 6
 
4.5%
사 5
 
3.8%
릉 5
 
3.8%
양 5
 
3.8%
원 4
 
3.0%
4
 
3.0%
, 3
 
2.3%
을 3
 
2.3%
마 3
 
2.3%
Other values (72) 88
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
88.6%
Uppercase Letter 5
 
3.8%
Space Separator 4
 
3.0%
Other Punctuation 3
 
2.3%
Decimal Number 1
 
0.8%
Close Punctuation 1
 
0.8%
Open Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 6
 
5.1%
건 6
 
5.1%
사 5
 
4.3%
릉 5
 
4.3%
양 5
 
4.3%
원 4
 
3.4%
을 3
 
2.6%
마 3
 
2.6%
봉 2
 
1.7%
계 2
 
1.7%
Other values (62) 76
65.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
P 1
20.0%
I 1
20.0%
C 1
20.0%
T 1
20.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
88.6%
Common 10
 
7.6%
Latin 5
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 6
 
5.1%
건 6
 
5.1%
사 5
 
4.3%
릉 5
 
4.3%
양 5
 
4.3%
원 4
 
3.4%
을 3
 
2.6%
마 3
 
2.6%
봉 2
 
1.7%
계 2
 
1.7%
Other values (62) 76
65.0%
Common
ValueCountFrequency (%)
4
40.0%
, 3
30.0%
1 1
 
10.0%
) 1
 
10.0%
( 1
 
10.0%
Latin
ValueCountFrequency (%)
A 1
20.0%
P 1
20.0%
I 1
20.0%
C 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
88.6%
ASCII 15
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 6
 
5.1%
건 6
 
5.1%
사 5
 
4.3%
릉 5
 
4.3%
양 5
 
4.3%
원 4
 
3.4%
을 3
 
2.6%
마 3
 
2.6%
봉 2
 
1.7%
계 2
 
1.7%
Other values (62) 76
65.0%
ASCII
ValueCountFrequency (%)
4
26.7%
, 3
20.0%
A 1
 
6.7%
P 1
 
6.7%
1 1
 
6.7%
) 1
 
6.7%
I 1
 
6.7%
C 1
 
6.7%
( 1
 
6.7%
T 1
 
6.7%

방향정보4
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1430 
2
 
1
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.9937195
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1430
99.8%
2 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%

Length

2023-12-12T21:14:05.859294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:06.041322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1430
99.8%
2 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%

방향정보4원거리안내지명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1432
Missing (%)99.9%
Memory size11.3 KiB
2023-12-12T21:14:06.251662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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 row별가람중학교
ValueCountFrequency (%)
별가람중학교 1
100.0%
2023-12-12T21:14:06.632126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
별 1
16.7%
가 1
16.7%
람 1
16.7%
중 1
16.7%
학 1
16.7%
교 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
별 1
16.7%
가 1
16.7%
람 1
16.7%
중 1
16.7%
학 1
16.7%
교 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
별 1
16.7%
가 1
16.7%
람 1
16.7%
중 1
16.7%
학 1
16.7%
교 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
별 1
16.7%
가 1
16.7%
람 1
16.7%
중 1
16.7%
학 1
16.7%
교 1
16.7%

방향정보4근거리안내지명(1)
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing1429
Missing (%)99.7%
Memory size11.3 KiB
2023-12-12T21:14:06.873241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.5
Min length2

Characters and Unicode

Total characters30
Distinct characters26
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

Unique4 ?
Unique (%)100.0%

Sample

1st row주민편익시설(구리타워 수영장
2nd row자원회수시설
3rd row서울
4th row화접초등학교
ValueCountFrequency (%)
주민편익시설(구리타워 1
20.0%
수영장 1
20.0%
자원회수시설 1
20.0%
서울 1
20.0%
화접초등학교 1
20.0%
2023-12-12T21:14:07.351108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 2
 
6.7%
설 2
 
6.7%
2
 
6.7%
수 2
 
6.7%
주 1
 
3.3%
자 1
 
3.3%
학 1
 
3.3%
등 1
 
3.3%
초 1
 
3.3%
접 1
 
3.3%
Other values (16) 16
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
90.0%
Space Separator 2
 
6.7%
Open Punctuation 1
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2
 
7.4%
설 2
 
7.4%
수 2
 
7.4%
주 1
 
3.7%
자 1
 
3.7%
학 1
 
3.7%
등 1
 
3.7%
초 1
 
3.7%
접 1
 
3.7%
화 1
 
3.7%
Other values (14) 14
51.9%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
90.0%
Common 3
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2
 
7.4%
설 2
 
7.4%
수 2
 
7.4%
주 1
 
3.7%
자 1
 
3.7%
학 1
 
3.7%
등 1
 
3.7%
초 1
 
3.7%
접 1
 
3.7%
화 1
 
3.7%
Other values (14) 14
51.9%
Common
ValueCountFrequency (%)
2
66.7%
( 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
90.0%
ASCII 3
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 2
 
7.4%
설 2
 
7.4%
수 2
 
7.4%
주 1
 
3.7%
자 1
 
3.7%
학 1
 
3.7%
등 1
 
3.7%
초 1
 
3.7%
접 1
 
3.7%
화 1
 
3.7%
Other values (14) 14
51.9%
ASCII
ValueCountFrequency (%)
2
66.7%
( 1
33.3%

방향정보4근거리안내지명(2)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1432
Missing (%)99.9%
Memory size11.3 KiB
2023-12-12T21:14:07.538023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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 row별내고등학교
ValueCountFrequency (%)
별내고등학교 1
100.0%
2023-12-12T21:14:07.910509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
별 1
16.7%
내 1
16.7%
고 1
16.7%
등 1
16.7%
학 1
16.7%
교 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
별 1
16.7%
내 1
16.7%
고 1
16.7%
등 1
16.7%
학 1
16.7%
교 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
별 1
16.7%
내 1
16.7%
고 1
16.7%
등 1
16.7%
학 1
16.7%
교 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
별 1
16.7%
내 1
16.7%
고 1
16.7%
등 1
16.7%
학 1
16.7%
교 1
16.7%

방향정보5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1432 
3
 
1

Length

Max length4
Median length4
Mean length3.9979065
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> 1432
99.9%
3 1
 
0.1%

Length

2023-12-12T21:14:08.091491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:08.231998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1432
99.9%
3 1
 
0.1%

방향정보5근거리안내지명(1)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1432
Missing (%)99.9%
Memory size11.3 KiB
2023-12-12T21:14:08.397874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters15
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 row구리시환경사업소(곤충생태관)
ValueCountFrequency (%)
구리시환경사업소(곤충생태관 1
100.0%
2023-12-12T21:14:08.740559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1
 
6.7%
리 1
 
6.7%
시 1
 
6.7%
환 1
 
6.7%
경 1
 
6.7%
사 1
 
6.7%
업 1
 
6.7%
소 1
 
6.7%
( 1
 
6.7%
곤 1
 
6.7%
Other values (5) 5
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
86.7%
Open Punctuation 1
 
6.7%
Close Punctuation 1
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1
 
7.7%
리 1
 
7.7%
시 1
 
7.7%
환 1
 
7.7%
경 1
 
7.7%
사 1
 
7.7%
업 1
 
7.7%
소 1
 
7.7%
곤 1
 
7.7%
충 1
 
7.7%
Other values (3) 3
23.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
86.7%
Common 2
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1
 
7.7%
리 1
 
7.7%
시 1
 
7.7%
환 1
 
7.7%
경 1
 
7.7%
사 1
 
7.7%
업 1
 
7.7%
소 1
 
7.7%
곤 1
 
7.7%
충 1
 
7.7%
Other values (3) 3
23.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
86.7%
ASCII 2
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1
 
7.7%
리 1
 
7.7%
시 1
 
7.7%
환 1
 
7.7%
경 1
 
7.7%
사 1
 
7.7%
업 1
 
7.7%
소 1
 
7.7%
곤 1
 
7.7%
충 1
 
7.7%
Other values (3) 3
23.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

지주형식
Real number (ℝ)

MISSING  SKEWED 

Distinct7
Distinct (%)0.8%
Missing555
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean2.9624146
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T21:14:08.873297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3908724
Coefficient of variation (CV)1.1446313
Kurtosis735.75248
Mean2.9624146
Median Absolute Deviation (MAD)0
Skewness25.944066
Sum2601
Variance11.498016
MonotonicityNot monotonic
2023-12-12T21:14:09.007346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 505
35.2%
4 153
 
10.7%
1 139
 
9.7%
2 55
 
3.8%
5 24
 
1.7%
6 1
 
0.1%
99 1
 
0.1%
(Missing) 555
38.7%
ValueCountFrequency (%)
1 139
 
9.7%
2 55
 
3.8%
3 505
35.2%
4 153
 
10.7%
5 24
 
1.7%
6 1
 
0.1%
99 1
 
0.1%
ValueCountFrequency (%)
99 1
 
0.1%
6 1
 
0.1%
5 24
 
1.7%
4 153
 
10.7%
3 505
35.2%
2 55
 
3.8%
1 139
 
9.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
경기도 남양주시
1433 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 남양주시 1433
100.0%

Length

2023-12-12T21:14:09.175124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:09.317800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 1433
50.0%
남양주시 1433
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
031-590-2114
1433 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-590-2114
2nd row031-590-2114
3rd row031-590-2114
4th row031-590-2114
5th row031-590-2114

Common Values

ValueCountFrequency (%)
031-590-2114 1433
100.0%

Length

2023-12-12T21:14:09.490002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:09.679550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-590-2114 1433
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum2023-01-10 00:00:00
Maximum2023-01-10 00:00:00
2023-12-12T21:14:09.803672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:14:09.958620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

번호도로안내표지번호도로종류도로노선번호도로노선명도로노선방향차로수소재지도로명주소소재지지번주소위도경도도로안내표지구분방향정보1방향정보1(OnTheWay)도로종별방향정보1(OnTheWay)노선번호방향정보1(OnTheWay)도로명방향정보1(ToTheWay)도로종별방향정보1(ToTheWay)노선번호방향정보1(ToTheWay)도로명방향정보1원거리안내지명방향정보1근거리안내지명(1)방향정보1근거리안내지명(2)방향정보2방향정보2(OnTheWay)도로종별방향정보2(OnTheWay)노선번호방향정보2(OnTheWay)도로명방향정보2(ToTheWay)도로종별방향정보2(ToTheWay)노선번호방향정보2(ToTheWay)도로명방향정보2원거리안내지명방향정보2근거리안내지명(1)방향정보2근거리안내지명(2)방향정보3방향정보3(OnTheWay)도로종별방향정보3(OnTheWay)노선번호방향정보3(OnTheWay)도로명방향정보3(ToTheWay)도로종별방향정보3(ToTheWay)노선번호방향정보3(ToTheWay)도로명방향정보3원거리안내지명방향정보3근거리안내지명(1)방향정보3근거리안내지명(2)방향정보4방향정보4원거리안내지명방향정보4근거리안내지명(1)방향정보4근거리안내지명(2)방향정보5방향정보5근거리안내지명(1)지주형식관리기관명관리기관전화번호데이터기준일자
01ER-35[경강로926번길]-상-575ER35번경강로926번길U2경기도 남양주시 경강로926번길경기도 남양주시 와부읍 경강로926번길37.549785127.23869699<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
12NR-4[임성로]-하-2606NR4번임성로D<NA>경기도 남양주시 금강로<NA>37.650057127.16370131<NA><NA><NA><NA><NA><NA><NA>퇴계원<NA>2NR43<NA><NA><NA><NA>의정부일동<NA>3NR43<NA><NA><NA><NA>서울구리퇴계원IC<NA><NA><NA><NA><NA><NA>3경기도 남양주시031-590-21142023-01-10
23NR-43[금강로]-상-586NR43번금강로U<NA>경기도 남양주시 금강로경기도 남양주시 진접읍 내곡리 568-2337.669329127.15376399<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
34NR-43[금강로]-상-587NR43번금강로U<NA>경기도 남양주시 금강로경기도 남양주시 진접읍 내곡리 568-2837.669545127.1536133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
45NR-43[금강로]-상-588NR43번금강로U<NA>경기도 남양주시 금강로경기도 남양주시 진접읍 내곡리 549-3337.667604127.1538381<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
56NR-43[금강로]-상-589NR43번금강로U<NA>경기도 남양주시 금강로경기도 남양주시 진접읍 내곡리 548-3637.667187127.1537883<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
67NR-43[금강로]-상-733NR43번금강로U<NA>경기도 남양주시 금강로<NA>37.661438127.1556634<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1경기도 남양주시031-590-21142023-01-10
78NR-43[금강로]-상-734NR43번금강로U<NA>경기도 남양주시 금강로<NA>37.655612127.16000331NR4347<NA><NA><NA>일동의정부<NA>2<NA><NA><NA><NA><NA><NA>진건퇴계원뱅이삼거리<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3경기도 남양주시031-590-21142023-01-10
89NR-43[금강로]-상-737NR43번금강로U<NA>경기도 남양주시 금강로<NA>37.647671127.16064231NR4346<NA><NA><NA>서울구리<NA>2<NA><NA><NA>NR46<NA>춘천화도<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3경기도 남양주시031-590-21142023-01-10
910NR-43[금강로]-상-758NR43번금강로U<NA>경기도 남양주시 진건읍 진관리 금강로<NA>37.639287127.1511321<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3경기도 남양주시031-590-21142023-01-10
번호도로안내표지번호도로종류도로노선번호도로노선명도로노선방향차로수소재지도로명주소소재지지번주소위도경도도로안내표지구분방향정보1방향정보1(OnTheWay)도로종별방향정보1(OnTheWay)노선번호방향정보1(OnTheWay)도로명방향정보1(ToTheWay)도로종별방향정보1(ToTheWay)노선번호방향정보1(ToTheWay)도로명방향정보1원거리안내지명방향정보1근거리안내지명(1)방향정보1근거리안내지명(2)방향정보2방향정보2(OnTheWay)도로종별방향정보2(OnTheWay)노선번호방향정보2(OnTheWay)도로명방향정보2(ToTheWay)도로종별방향정보2(ToTheWay)노선번호방향정보2(ToTheWay)도로명방향정보2원거리안내지명방향정보2근거리안내지명(1)방향정보2근거리안내지명(2)방향정보3방향정보3(OnTheWay)도로종별방향정보3(OnTheWay)노선번호방향정보3(OnTheWay)도로명방향정보3(ToTheWay)도로종별방향정보3(ToTheWay)노선번호방향정보3(ToTheWay)도로명방향정보3원거리안내지명방향정보3근거리안내지명(1)방향정보3근거리안내지명(2)방향정보4방향정보4원거리안내지명방향정보4근거리안내지명(1)방향정보4근거리안내지명(2)방향정보5방향정보5근거리안내지명(1)지주형식관리기관명관리기관전화번호데이터기준일자
14231424UR-[순화궁로]-하-13UR0순화궁로D<NA><NA>경기도 남양주시 별내동 90737.6593127.1249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14241425UR-[순화궁로]-하-14UR0순화궁로D<NA><NA>경기도 남양주시 별내동 90737.6592127.1247<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14251426UR-[순화궁로]-하-15UR0순화궁로D<NA><NA>경기도 남양주시 별내동 90737.6592127.1247<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14261427UR-[순화궁로]-하-16UR0순화궁로D<NA><NA>경기도 남양주시 별내동 90737.6593127.1249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14271428UR-[순화궁로]-하-17UR0순화궁로D<NA><NA>경기도 남양주시 별내동 90737.6593127.1249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14281429UR-[순화궁로]-하-18UR0순화궁로D<NA><NA>경기도 남양주시 별내동 82037.6742127.1152<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14291430UR-[순화궁로]-상-16UR0순화궁로U<NA><NA>경기도 남양주시 별내동 82037.6728127.1161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14301431UR-[순화궁로]-상-17UR0순화궁로U<NA><NA>경기도 남양주시 별내동 801-237.6725127.1161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14311432UR-[순화궁로]-상-18UR0순화궁로U<NA><NA>경기도 남양주시 별내동 82037.6728127.1161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10
14321433UR-[순화궁로]-상-19UR0순화궁로U<NA><NA>경기도 남양주시 별내동 82037.6725127.1165<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 남양주시031-590-21142023-01-10