Overview

Dataset statistics

Number of variables19
Number of observations8071
Missing cells11214
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory158.0 B

Variable types

Text7
Categorical7
Numeric4
DateTime1

Dataset

Description무인 교통단속 카메라 현황(제공표준)
Author경찰청
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4SMVD3MGI695EMJZRD3O26949396&infSeq=1

Alerts

시도명 has constant value ""Constant
위도 is highly overall correlated with 시군명High correlation
경도 is highly overall correlated with 시군명High correlation
제한속도 is highly overall correlated with 도로종류 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
도로종류 is highly overall correlated with 제한속도High correlation
도로노선방향 is highly overall correlated with 관리기관명High correlation
단속구분 is highly overall correlated with 관리기관명High correlation
보호구역구분 is highly overall correlated with 제한속도High correlation
관리기관명 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
도로노선번호 has 5473 (67.8%) missing valuesMissing
소재지도로명주소 has 4793 (59.4%) missing valuesMissing
설치연도 has 936 (11.6%) missing valuesMissing
제한속도 has 2046 (25.4%) zerosZeros

Reproduction

Analysis started2024-05-17 20:30:01.720484
Analysis finished2024-05-17 20:30:12.404440
Duration10.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

무인교통단속카메라관리번호
Text

Distinct6731
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2024-05-18T05:30:12.898599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.2281006
Min length1

Characters and Unicode

Total characters42196
Distinct characters93
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5875 ?
Unique (%)72.8%

Sample

1st rowH4724
2nd rowG2403
3rd rowF5507
4th rowH3619
5th rowH5792
ValueCountFrequency (%)
3 6
 
0.1%
29 6
 
0.1%
51 6
 
0.1%
25 6
 
0.1%
1 6
 
0.1%
28 6
 
0.1%
26 6
 
0.1%
27 6
 
0.1%
30 6
 
0.1%
31 6
 
0.1%
Other values (6721) 8011
99.3%
2024-05-18T05:30:13.929787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3729
 
8.8%
1 3693
 
8.8%
2 3112
 
7.4%
6 3006
 
7.1%
3 2935
 
7.0%
7 2902
 
6.9%
8 2761
 
6.5%
5 2734
 
6.5%
9 2683
 
6.4%
4 2584
 
6.1%
Other values (83) 12057
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30139
71.4%
Uppercase Letter 8177
 
19.4%
Other Letter 2270
 
5.4%
Dash Punctuation 1610
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 352
 
15.5%
주 148
 
6.5%
차 146
 
6.4%
당 131
 
5.8%
분 131
 
5.8%
운 119
 
5.2%
수 101
 
4.4%
중 80
 
3.5%
지 79
 
3.5%
민 77
 
3.4%
Other values (56) 906
39.9%
Uppercase Letter
ValueCountFrequency (%)
H 2506
30.6%
G 2346
28.7%
P 768
 
9.4%
F 655
 
8.0%
E 460
 
5.6%
C 258
 
3.2%
I 237
 
2.9%
N 229
 
2.8%
O 229
 
2.8%
D 197
 
2.4%
Other values (6) 292
 
3.6%
Decimal Number
ValueCountFrequency (%)
0 3729
12.4%
1 3693
12.3%
2 3112
10.3%
6 3006
10.0%
3 2935
9.7%
7 2902
9.6%
8 2761
9.2%
5 2734
9.1%
9 2683
8.9%
4 2584
8.6%
Dash Punctuation
ValueCountFrequency (%)
- 1610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31749
75.2%
Latin 8177
 
19.4%
Hangul 2270
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 352
 
15.5%
주 148
 
6.5%
차 146
 
6.4%
당 131
 
5.8%
분 131
 
5.8%
운 119
 
5.2%
수 101
 
4.4%
중 80
 
3.5%
지 79
 
3.5%
민 77
 
3.4%
Other values (56) 906
39.9%
Latin
ValueCountFrequency (%)
H 2506
30.6%
G 2346
28.7%
P 768
 
9.4%
F 655
 
8.0%
E 460
 
5.6%
C 258
 
3.2%
I 237
 
2.9%
N 229
 
2.8%
O 229
 
2.8%
D 197
 
2.4%
Other values (6) 292
 
3.6%
Common
ValueCountFrequency (%)
0 3729
11.7%
1 3693
11.6%
2 3112
9.8%
6 3006
9.5%
3 2935
9.2%
7 2902
9.1%
8 2761
8.7%
5 2734
8.6%
9 2683
8.5%
4 2584
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39926
94.6%
Hangul 2270
 
5.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3729
 
9.3%
1 3693
 
9.2%
2 3112
 
7.8%
6 3006
 
7.5%
3 2935
 
7.4%
7 2902
 
7.3%
8 2761
 
6.9%
5 2734
 
6.8%
9 2683
 
6.7%
4 2584
 
6.5%
Other values (17) 9787
24.5%
Hangul
ValueCountFrequency (%)
정 352
 
15.5%
주 148
 
6.5%
차 146
 
6.4%
당 131
 
5.8%
분 131
 
5.8%
운 119
 
5.2%
수 101
 
4.4%
중 80
 
3.5%
지 79
 
3.5%
민 77
 
3.4%
Other values (56) 906
39.9%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
경기도
8071 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 8071
100.0%

Length

2024-05-18T05:30:14.295173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:14.520966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 8071
100.0%

시군명
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
고양시
826 
성남시
635 
화성시
606 
평택시
 
439
남양주시
 
430
Other values (28)
5135 

Length

Max length7
Median length3
Mean length3.2086482
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 826
 
10.2%
성남시 635
 
7.9%
화성시 606
 
7.5%
평택시 439
 
5.4%
남양주시 430
 
5.3%
파주시 428
 
5.3%
용인시 402
 
5.0%
이천시 379
 
4.7%
수원시 372
 
4.6%
의정부시 316
 
3.9%
Other values (23) 3238
40.1%

Length

2024-05-18T05:30:14.730898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 826
 
10.0%
성남시 635
 
7.7%
화성시 606
 
7.3%
평택시 439
 
5.3%
남양주시 430
 
5.2%
파주시 428
 
5.2%
안산시 421
 
5.1%
용인시 402
 
4.9%
이천시 379
 
4.6%
수원시 372
 
4.5%
Other values (23) 3350
40.4%

도로종류
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
시도
4919 
지방도
1042 
일반국도
1031 
기타
878 
고속국도
 
114
Other values (2)
 
87

Length

Max length7
Median length2
Mean length2.4661132
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
시도 4919
60.9%
지방도 1042
 
12.9%
일반국도 1031
 
12.8%
기타 878
 
10.9%
고속국도 114
 
1.4%
국가지원지방도 86
 
1.1%
군도 1
 
< 0.1%

Length

2024-05-18T05:30:14.983211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:15.247621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 4919
60.9%
지방도 1042
 
12.9%
일반국도 1031
 
12.8%
기타 878
 
10.9%
고속국도 114
 
1.4%
국가지원지방도 86
 
1.1%
군도 1
 
< 0.1%

도로노선번호
Text

MISSING 

Distinct192
Distinct (%)7.4%
Missing5473
Missing (%)67.8%
Memory size63.2 KiB
2024-05-18T05:30:15.764389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.1247113
Min length1

Characters and Unicode

Total characters5520
Distinct characters20
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

Unique51 ?
Unique (%)2.0%

Sample

1st row75
2nd row3
3rd row46
4th row75
5th row86
ValueCountFrequency (%)
3 499
 
19.2%
43 137
 
5.3%
1 103
 
4.0%
3번 75
 
2.9%
39 70
 
2.7%
38 62
 
2.4%
42 59
 
2.3%
37 55
 
2.1%
45 53
 
2.0%
77 51
 
2.0%
Other values (182) 1434
55.2%
2024-05-18T05:30:16.671006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1768
32.0%
4 537
 
9.7%
7 536
 
9.7%
번 448
 
8.1%
8 372
 
6.7%
1 368
 
6.7%
2 365
 
6.6%
5 304
 
5.5%
0 214
 
3.9%
9 189
 
3.4%
Other values (10) 419
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4837
87.6%
Other Letter 683
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1768
36.6%
4 537
 
11.1%
7 536
 
11.1%
8 372
 
7.7%
1 368
 
7.6%
2 365
 
7.5%
5 304
 
6.3%
0 214
 
4.4%
9 189
 
3.9%
6 184
 
3.8%
Other Letter
ValueCountFrequency (%)
번 448
65.6%
도 51
 
7.5%
시 51
 
7.5%
로 33
 
4.8%
류 33
 
4.8%
호 17
 
2.5%
선 17
 
2.5%
대 16
 
2.3%
소 14
 
2.0%
중 3
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4837
87.6%
Hangul 683
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1768
36.6%
4 537
 
11.1%
7 536
 
11.1%
8 372
 
7.7%
1 368
 
7.6%
2 365
 
7.5%
5 304
 
6.3%
0 214
 
4.4%
9 189
 
3.9%
6 184
 
3.8%
Hangul
ValueCountFrequency (%)
번 448
65.6%
도 51
 
7.5%
시 51
 
7.5%
로 33
 
4.8%
류 33
 
4.8%
호 17
 
2.5%
선 17
 
2.5%
대 16
 
2.3%
소 14
 
2.0%
중 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4837
87.6%
Hangul 683
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1768
36.6%
4 537
 
11.1%
7 536
 
11.1%
8 372
 
7.7%
1 368
 
7.6%
2 365
 
7.5%
5 304
 
6.3%
0 214
 
4.4%
9 189
 
3.9%
6 184
 
3.8%
Hangul
ValueCountFrequency (%)
번 448
65.6%
도 51
 
7.5%
시 51
 
7.5%
로 33
 
4.8%
류 33
 
4.8%
호 17
 
2.5%
선 17
 
2.5%
대 16
 
2.3%
소 14
 
2.0%
중 3
 
0.4%

도로노선명
Text

Distinct2044
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2024-05-18T05:30:17.217401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length4.0551357
Min length3

Characters and Unicode

Total characters32729
Distinct characters388
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

Unique760 ?
Unique (%)9.4%

Sample

1st row청군로
2nd row호반로
3rd row유명로
4th row경춘로
5th row가화로
ValueCountFrequency (%)
중앙로 130
 
1.6%
경충대로 110
 
1.4%
호국로 75
 
0.9%
서동대로 70
 
0.9%
중부대로 68
 
0.8%
평화로 61
 
0.8%
경수대로 45
 
0.6%
시민로 41
 
0.5%
고양대로 40
 
0.5%
광명로 39
 
0.5%
Other values (2037) 7413
91.6%
2024-05-18T05:30:18.183966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 7773
 
23.7%
대 1120
 
3.4%
길 900
 
2.7%
동 611
 
1.9%
번 609
 
1.9%
1 511
 
1.6%
산 488
 
1.5%
중 446
 
1.4%
2 415
 
1.3%
경 384
 
1.2%
Other values (378) 19472
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30235
92.4%
Decimal Number 2329
 
7.1%
Open Punctuation 47
 
0.1%
Close Punctuation 47
 
0.1%
Dash Punctuation 22
 
0.1%
Space Separator 21
 
0.1%
Math Symbol 17
 
0.1%
Other Punctuation 9
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 7773
25.7%
대 1120
 
3.7%
길 900
 
3.0%
동 611
 
2.0%
번 609
 
2.0%
산 488
 
1.6%
중 446
 
1.5%
경 384
 
1.3%
수 364
 
1.2%
천 362
 
1.2%
Other values (360) 17178
56.8%
Decimal Number
ValueCountFrequency (%)
1 511
21.9%
2 415
17.8%
3 309
13.3%
4 223
9.6%
7 169
 
7.3%
5 164
 
7.0%
8 161
 
6.9%
6 138
 
5.9%
9 127
 
5.5%
0 112
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30235
92.4%
Common 2492
 
7.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 7773
25.7%
대 1120
 
3.7%
길 900
 
3.0%
동 611
 
2.0%
번 609
 
2.0%
산 488
 
1.6%
중 446
 
1.5%
경 384
 
1.3%
수 364
 
1.2%
천 362
 
1.2%
Other values (360) 17178
56.8%
Common
ValueCountFrequency (%)
1 511
20.5%
2 415
16.7%
3 309
12.4%
4 223
8.9%
7 169
 
6.8%
5 164
 
6.6%
8 161
 
6.5%
6 138
 
5.5%
9 127
 
5.1%
0 112
 
4.5%
Other values (6) 163
 
6.5%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30235
92.4%
ASCII 2494
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 7773
25.7%
대 1120
 
3.7%
길 900
 
3.0%
동 611
 
2.0%
번 609
 
2.0%
산 488
 
1.6%
중 446
 
1.5%
경 384
 
1.3%
수 364
 
1.2%
천 362
 
1.2%
Other values (360) 17178
56.8%
ASCII
ValueCountFrequency (%)
1 511
20.5%
2 415
16.6%
3 309
12.4%
4 223
8.9%
7 169
 
6.8%
5 164
 
6.6%
8 161
 
6.5%
6 138
 
5.5%
9 127
 
5.1%
0 112
 
4.5%
Other values (8) 165
 
6.6%

도로노선방향
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
3
5778 
1
1329 
2
964 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 5778
71.6%
1 1329
 
16.5%
2 964
 
11.9%

Length

2024-05-18T05:30:18.587182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:18.907979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5778
71.6%
1 1329
 
16.5%
2 964
 
11.9%

소재지도로명주소
Text

MISSING 

Distinct2794
Distinct (%)85.2%
Missing4793
Missing (%)59.4%
Memory size63.2 KiB
2024-05-18T05:30:19.451680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length19.26083
Min length11

Characters and Unicode

Total characters63137
Distinct characters372
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2398 ?
Unique (%)73.2%

Sample

1st row경기도 가평군 청평면 경춘로 1449
2nd row경기도 가평군 설악면 한서로 233
3rd row경기도 가평군 가평읍 연인2길 22-1
4th row경기도 가평군 상면 청군로 2090
5th row경기도 가평군 상면 청군로 701
ValueCountFrequency (%)
경기도 3278
 
21.6%
성남시 395
 
2.6%
고양시 355
 
2.3%
파주시 302
 
2.0%
남양주시 291
 
1.9%
안산시 258
 
1.7%
의정부시 224
 
1.5%
분당구 200
 
1.3%
이천시 188
 
1.2%
부천시 159
 
1.0%
Other values (2729) 9509
62.7%
2024-05-18T05:30:20.538442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11881
18.8%
경 3421
 
5.4%
기 3358
 
5.3%
시 3352
 
5.3%
도 3345
 
5.3%
로 3203
 
5.1%
1 2102
 
3.3%
구 1537
 
2.4%
2 1511
 
2.4%
3 1185
 
1.9%
Other values (362) 28242
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39956
63.3%
Space Separator 11881
 
18.8%
Decimal Number 10343
 
16.4%
Dash Punctuation 327
 
0.5%
Close Punctuation 293
 
0.5%
Open Punctuation 293
 
0.5%
Other Punctuation 44
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 3421
 
8.6%
기 3358
 
8.4%
시 3352
 
8.4%
도 3345
 
8.4%
로 3203
 
8.0%
구 1537
 
3.8%
양 1018
 
2.5%
남 852
 
2.1%
길 793
 
2.0%
주 749
 
1.9%
Other values (346) 18328
45.9%
Decimal Number
ValueCountFrequency (%)
1 2102
20.3%
2 1511
14.6%
3 1185
11.5%
4 948
9.2%
5 911
8.8%
7 812
 
7.9%
6 805
 
7.8%
0 738
 
7.1%
8 694
 
6.7%
9 637
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 43
97.7%
. 1
 
2.3%
Space Separator
ValueCountFrequency (%)
11881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39956
63.3%
Common 23181
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 3421
 
8.6%
기 3358
 
8.4%
시 3352
 
8.4%
도 3345
 
8.4%
로 3203
 
8.0%
구 1537
 
3.8%
양 1018
 
2.5%
남 852
 
2.1%
길 793
 
2.0%
주 749
 
1.9%
Other values (346) 18328
45.9%
Common
ValueCountFrequency (%)
11881
51.3%
1 2102
 
9.1%
2 1511
 
6.5%
3 1185
 
5.1%
4 948
 
4.1%
5 911
 
3.9%
7 812
 
3.5%
6 805
 
3.5%
0 738
 
3.2%
8 694
 
3.0%
Other values (6) 1594
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39956
63.3%
ASCII 23181
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11881
51.3%
1 2102
 
9.1%
2 1511
 
6.5%
3 1185
 
5.1%
4 948
 
4.1%
5 911
 
3.9%
7 812
 
3.5%
6 805
 
3.5%
0 738
 
3.2%
8 694
 
3.0%
Other values (6) 1594
 
6.9%
Hangul
ValueCountFrequency (%)
경 3421
 
8.6%
기 3358
 
8.4%
시 3352
 
8.4%
도 3345
 
8.4%
로 3203
 
8.0%
구 1537
 
3.8%
양 1018
 
2.5%
남 852
 
2.1%
길 793
 
2.0%
주 749
 
1.9%
Other values (346) 18328
45.9%

소재지지번주소
Text

Distinct6736
Distinct (%)83.6%
Missing12
Missing (%)0.1%
Memory size63.2 KiB
2024-05-18T05:30:21.176852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length19.756049
Min length10

Characters and Unicode

Total characters159214
Distinct characters403
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5708 ?
Unique (%)70.8%

Sample

1st row경기도 가평군 상면 임초리 413-3
2nd row경기도 가평군 가평읍 달전리 452-10
3rd row경기도 가평군 설악면 천안리 470-3
4th row경기도 가평군 청평면 상천리 236-2
5th row경기도 가평군 북면 이곡리 67-21
ValueCountFrequency (%)
경기도 8022
 
21.2%
고양시 825
 
2.2%
성남시 636
 
1.7%
화성시 606
 
1.6%
평택시 438
 
1.2%
파주시 428
 
1.1%
남양주시 427
 
1.1%
안산시 420
 
1.1%
용인시 401
 
1.1%
덕양구 400
 
1.1%
Other values (6933) 25204
66.7%
2024-05-18T05:30:22.125519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29836
18.7%
도 8276
 
5.2%
기 8241
 
5.2%
시 8056
 
5.1%
경 8040
 
5.0%
동 6606
 
4.1%
1 6010
 
3.8%
- 5296
 
3.3%
2 3815
 
2.4%
3 3349
 
2.1%
Other values (393) 71689
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92626
58.2%
Decimal Number 31374
 
19.7%
Space Separator 29836
 
18.7%
Dash Punctuation 5296
 
3.3%
Open Punctuation 25
 
< 0.1%
Close Punctuation 25
 
< 0.1%
Uppercase Letter 18
 
< 0.1%
Lowercase Letter 10
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 8276
 
8.9%
기 8241
 
8.9%
시 8056
 
8.7%
경 8040
 
8.7%
동 6606
 
7.1%
구 3139
 
3.4%
양 2577
 
2.8%
리 2510
 
2.7%
산 1996
 
2.2%
주 1793
 
1.9%
Other values (367) 41392
44.7%
Decimal Number
ValueCountFrequency (%)
1 6010
19.2%
2 3815
12.2%
3 3349
10.7%
5 2890
9.2%
4 2887
9.2%
6 2870
9.1%
7 2697
8.6%
8 2413
7.7%
9 2283
 
7.3%
0 2160
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
G 4
22.2%
I 4
22.2%
C 4
22.2%
L 3
16.7%
K 2
11.1%
S 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
m 8
80.0%
k 1
 
10.0%
e 1
 
10.0%
Space Separator
ValueCountFrequency (%)
29836
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
↔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92627
58.2%
Common 66559
41.8%
Latin 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 8276
 
8.9%
기 8241
 
8.9%
시 8056
 
8.7%
경 8040
 
8.7%
동 6606
 
7.1%
구 3139
 
3.4%
양 2577
 
2.8%
리 2510
 
2.7%
산 1996
 
2.2%
주 1793
 
1.9%
Other values (368) 41393
44.7%
Common
ValueCountFrequency (%)
29836
44.8%
1 6010
 
9.0%
- 5296
 
8.0%
2 3815
 
5.7%
3 3349
 
5.0%
5 2890
 
4.3%
4 2887
 
4.3%
6 2870
 
4.3%
7 2697
 
4.1%
8 2413
 
3.6%
Other values (6) 4496
 
6.8%
Latin
ValueCountFrequency (%)
m 8
28.6%
G 4
14.3%
I 4
14.3%
C 4
14.3%
L 3
 
10.7%
K 2
 
7.1%
k 1
 
3.6%
S 1
 
3.6%
e 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92626
58.2%
ASCII 66586
41.8%
None 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29836
44.8%
1 6010
 
9.0%
- 5296
 
8.0%
2 3815
 
5.7%
3 3349
 
5.0%
5 2890
 
4.3%
4 2887
 
4.3%
6 2870
 
4.3%
7 2697
 
4.1%
8 2413
 
3.6%
Other values (14) 4523
 
6.8%
Hangul
ValueCountFrequency (%)
도 8276
 
8.9%
기 8241
 
8.9%
시 8056
 
8.7%
경 8040
 
8.7%
동 6606
 
7.1%
구 3139
 
3.4%
양 2577
 
2.8%
리 2510
 
2.7%
산 1996
 
2.2%
주 1793
 
1.9%
Other values (367) 41392
44.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Arrows
ValueCountFrequency (%)
↔ 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct7561
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.441373
Minimum36.90677
Maximum38.182943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.1 KiB
2024-05-18T05:30:22.477011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.90677
5-th percentile37.025696
Q137.273387
median37.400222
Q337.652833
95-th percentile37.829418
Maximum38.182943
Range1.2761732
Interquartile range (IQR)0.37944628

Descriptive statistics

Standard deviation0.24325563
Coefficient of variation (CV)0.0064969741
Kurtosis-0.65990675
Mean37.441373
Median Absolute Deviation (MAD)0.1909085
Skewness0.15077212
Sum302189.32
Variance0.059173302
MonotonicityNot monotonic
2024-05-18T05:30:22.924946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.26938388 6
 
0.1%
37.63647483 6
 
0.1%
37.69529499 4
 
< 0.1%
37.4186912476 4
 
< 0.1%
37.71304065 4
 
< 0.1%
37.58005129 4
 
< 0.1%
37.62867772 4
 
< 0.1%
37.40297675 4
 
< 0.1%
37.3003188 3
 
< 0.1%
37.19427126 3
 
< 0.1%
Other values (7551) 8029
99.5%
ValueCountFrequency (%)
36.9067697 1
< 0.1%
36.918258 1
< 0.1%
36.9183531 1
< 0.1%
36.9198539 1
< 0.1%
36.92008118 1
< 0.1%
36.92013532 1
< 0.1%
36.920282 1
< 0.1%
36.921921 1
< 0.1%
36.93525211 1
< 0.1%
36.93527586 1
< 0.1%
ValueCountFrequency (%)
38.18294289 1
< 0.1%
38.15798634 2
< 0.1%
38.14268505 1
< 0.1%
38.14061107 2
< 0.1%
38.13956627 1
< 0.1%
38.13230887 1
< 0.1%
38.1320599 2
< 0.1%
38.121518 1
< 0.1%
38.1214012 1
< 0.1%
38.11868451 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct7570
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04355
Minimum126.55207
Maximum127.99269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.1 KiB
2024-05-18T05:30:23.258467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55207
5-th percentile126.74511
Q1126.85239
median127.05156
Q3127.15225
95-th percentile127.49939
Maximum127.99269
Range1.4406214
Interquartile range (IQR)0.2998606

Descriptive statistics

Standard deviation0.22789982
Coefficient of variation (CV)0.0017938717
Kurtosis0.095929494
Mean127.04355
Median Absolute Deviation (MAD)0.1573909
Skewness0.62959051
Sum1025368.5
Variance0.05193833
MonotonicityNot monotonic
2024-05-18T05:30:23.641456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.7153182 8
 
0.1%
126.717854 6
 
0.1%
126.8557623 4
 
< 0.1%
126.8836535295 4
 
< 0.1%
127.0357208 4
 
< 0.1%
127.2993175 4
 
< 0.1%
127.1087532 4
 
< 0.1%
126.945335 4
 
< 0.1%
126.7782101 4
 
< 0.1%
126.842412 3
 
< 0.1%
Other values (7560) 8026
99.4%
ValueCountFrequency (%)
126.5520686 1
< 0.1%
126.552185 1
< 0.1%
126.5527572 1
< 0.1%
126.552907 1
< 0.1%
126.554055 1
< 0.1%
126.554837 1
< 0.1%
126.554935 1
< 0.1%
126.5643156 1
< 0.1%
126.568985 1
< 0.1%
126.5690459 1
< 0.1%
ValueCountFrequency (%)
127.99269 1
 
< 0.1%
127.7495273 1
 
< 0.1%
127.7406943 1
 
< 0.1%
127.7153182 8
0.1%
127.711491 1
 
< 0.1%
127.693551 1
 
< 0.1%
127.682039 1
 
< 0.1%
127.6819886 2
 
< 0.1%
127.681903 1
 
< 0.1%
127.679155 1
 
< 0.1%

설치장소
Text

Distinct7740
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2024-05-18T05:30:24.464422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length56
Mean length19.071738
Min length2

Characters and Unicode

Total characters153928
Distinct characters728
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7570 ?
Unique (%)93.8%

Sample

1st row상면초교(상면교차로→개누리고개)
2nd row농협앞(남이섬→가평경찰서)
3rd row이레요양원앞(양평군→청평)
4th row초옥동마을입구교차로(가평→서울)
5th row목동초교 건너편(목동버스터미널→가평군청)
ValueCountFrequency (%)
앞 885
 
5.2%
부근 205
 
1.2%
사거리 172
 
1.0%
삼거리 146
 
0.9%
정문 143
 
0.8%
도로 137
 
0.8%
덕양구 137
 
0.8%
여주시 136
 
0.8%
부천시 135
 
0.8%
주변 135
 
0.8%
Other values (10343) 14630
86.8%
2024-05-18T05:30:25.304547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8828
 
5.7%
( 5880
 
3.8%
) 5839
 
3.8%
교 5763
 
3.7%
→ 4760
 
3.1%
리 4123
 
2.7%
동 3595
 
2.3%
초 3347
 
2.2%
앞 3131
 
2.0%
거 2961
 
1.9%
Other values (718) 105701
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113614
73.8%
Decimal Number 9208
 
6.0%
Space Separator 8828
 
5.7%
Open Punctuation 5884
 
3.8%
Close Punctuation 5843
 
3.8%
Math Symbol 4777
 
3.1%
Uppercase Letter 2075
 
1.3%
Lowercase Letter 1668
 
1.1%
Other Punctuation 1040
 
0.7%
Dash Punctuation 981
 
0.6%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 5763
 
5.1%
리 4123
 
3.6%
동 3595
 
3.2%
초 3347
 
2.9%
앞 3131
 
2.8%
거 2961
 
2.6%
사 2320
 
2.0%
로 2113
 
1.9%
원 1904
 
1.7%
지 1845
 
1.6%
Other values (651) 82512
72.6%
Uppercase Letter
ValueCountFrequency (%)
C 797
38.4%
I 687
33.1%
G 115
 
5.5%
T 95
 
4.6%
S 68
 
3.3%
K 56
 
2.7%
L 51
 
2.5%
J 36
 
1.7%
B 29
 
1.4%
A 24
 
1.2%
Other values (14) 117
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
m 523
31.4%
p 259
15.5%
a 259
15.5%
t 257
15.4%
g 255
15.3%
k 61
 
3.7%
e 37
 
2.2%
c 4
 
0.2%
o 3
 
0.2%
s 3
 
0.2%
Other values (4) 7
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 2077
22.6%
2 1375
14.9%
0 1087
11.8%
3 1029
11.2%
5 742
 
8.1%
4 690
 
7.5%
6 630
 
6.8%
7 552
 
6.0%
8 533
 
5.8%
9 493
 
5.4%
Other Punctuation
ValueCountFrequency (%)
; 515
49.5%
& 259
24.9%
/ 134
 
12.9%
, 64
 
6.2%
. 62
 
6.0%
@ 3
 
0.3%
? 2
 
0.2%
: 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 5880
99.9%
[ 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 5839
99.9%
] 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
→ 4760
99.6%
~ 17
 
0.4%
Space Separator
ValueCountFrequency (%)
8828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 981
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113615
73.8%
Common 36567
 
23.8%
Latin 3745
 
2.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 5763
 
5.1%
리 4123
 
3.6%
동 3595
 
3.2%
초 3347
 
2.9%
앞 3131
 
2.8%
거 2961
 
2.6%
사 2320
 
2.0%
로 2113
 
1.9%
원 1904
 
1.7%
지 1845
 
1.6%
Other values (651) 82513
72.6%
Latin
ValueCountFrequency (%)
C 797
21.3%
I 687
18.3%
m 523
14.0%
p 259
 
6.9%
a 259
 
6.9%
t 257
 
6.9%
g 255
 
6.8%
G 115
 
3.1%
T 95
 
2.5%
S 68
 
1.8%
Other values (29) 430
11.5%
Common
ValueCountFrequency (%)
8828
24.1%
( 5880
16.1%
) 5839
16.0%
→ 4760
13.0%
1 2077
 
5.7%
2 1375
 
3.8%
0 1087
 
3.0%
3 1029
 
2.8%
- 981
 
2.7%
5 742
 
2.0%
Other values (17) 3969
10.9%
Han
ValueCountFrequency (%)
騁 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113613
73.8%
ASCII 35550
 
23.1%
Arrows 4760
 
3.1%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8828
24.8%
( 5880
16.5%
) 5839
16.4%
1 2077
 
5.8%
2 1375
 
3.9%
0 1087
 
3.1%
3 1029
 
2.9%
- 981
 
2.8%
C 797
 
2.2%
5 742
 
2.1%
Other values (54) 6915
19.5%
Hangul
ValueCountFrequency (%)
교 5763
 
5.1%
리 4123
 
3.6%
동 3595
 
3.2%
초 3347
 
2.9%
앞 3131
 
2.8%
거 2961
 
2.6%
사 2320
 
2.0%
로 2113
 
1.9%
원 1904
 
1.7%
지 1845
 
1.6%
Other values (650) 82511
72.6%
Arrows
ValueCountFrequency (%)
→ 4760
100.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
騁 1
100.0%

단속구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
02
3813 
4
1449 
01
1180 
04
767 
2
 
373
Other values (4)
489 

Length

Max length5
Median length2
Mean length1.8713914
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01
2nd row01
3rd row01
4th row02
5th row02

Common Values

ValueCountFrequency (%)
02 3813
47.2%
4 1449
 
18.0%
01 1180
 
14.6%
04 767
 
9.5%
2 373
 
4.6%
01+02 288
 
3.6%
99 121
 
1.5%
1 77
 
1.0%
3 3
 
< 0.1%

Length

2024-05-18T05:30:25.708915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:26.041650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02 3813
47.2%
4 1449
 
18.0%
01 1180
 
14.6%
04 767
 
9.5%
2 373
 
4.6%
01+02 288
 
3.6%
99 121
 
1.5%
1 77
 
1.0%
3 3
 
< 0.1%

제한속도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.306653
Minimum0
Maximum110
Zeros2046
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size71.1 KiB
2024-05-18T05:30:26.339338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q360
95-th percentile70
Maximum110
Range110
Interquartile range (IQR)60

Descriptive statistics

Standard deviation25.856376
Coefficient of variation (CV)0.7323372
Kurtosis-0.69194759
Mean35.306653
Median Absolute Deviation (MAD)30
Skewness0.13614239
Sum284960
Variance668.55217
MonotonicityNot monotonic
2024-05-18T05:30:26.696979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
30 2648
32.8%
0 2046
25.4%
50 1208
15.0%
60 1132
14.0%
70 569
 
7.0%
80 191
 
2.4%
90 83
 
1.0%
40 82
 
1.0%
100 80
 
1.0%
110 30
 
0.4%
ValueCountFrequency (%)
0 2046
25.4%
20 2
 
< 0.1%
30 2648
32.8%
40 82
 
1.0%
50 1208
15.0%
60 1132
14.0%
70 569
 
7.0%
80 191
 
2.4%
90 83
 
1.0%
100 80
 
1.0%
ValueCountFrequency (%)
110 30
 
0.4%
100 80
 
1.0%
90 83
 
1.0%
80 191
 
2.4%
70 569
 
7.0%
60 1132
14.0%
50 1208
15.0%
40 82
 
1.0%
30 2648
32.8%
20 2
 
< 0.1%

보호구역구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
99
2738 
<NA>
2735 
2
2570 
1
 
28

Length

Max length4
Median length2
Mean length2.3558419
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row99
3rd row99
4th row99
5th row2

Common Values

ValueCountFrequency (%)
99 2738
33.9%
<NA> 2735
33.9%
2 2570
31.8%
1 28
 
0.3%

Length

2024-05-18T05:30:26.951218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:27.188643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 2738
33.9%
na 2735
33.9%
2 2570
31.8%
1 28
 
0.3%

설치연도
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.3%
Missing936
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean2018.7679
Minimum2005
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.1 KiB
2024-05-18T05:30:27.383590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2010
Q12017
median2020
Q32022
95-th percentile2023
Maximum2023
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.847085
Coefficient of variation (CV)0.0019056599
Kurtosis1.8265784
Mean2018.7679
Median Absolute Deviation (MAD)2
Skewness-1.440359
Sum14403909
Variance14.800063
MonotonicityNot monotonic
2024-05-18T05:30:27.729242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2021 1158
14.3%
2022 1045
12.9%
2018 860
10.7%
2020 826
10.2%
2023 752
9.3%
2019 628
7.8%
2017 497
6.2%
2016 431
 
5.3%
2015 121
 
1.5%
2010 118
 
1.5%
Other values (9) 699
8.7%
(Missing) 936
11.6%
ValueCountFrequency (%)
2005 10
 
0.1%
2006 77
1.0%
2007 62
0.8%
2008 89
1.1%
2009 97
1.2%
2010 118
1.5%
2011 112
1.4%
2012 88
1.1%
2013 82
1.0%
2014 82
1.0%
ValueCountFrequency (%)
2023 752
9.3%
2022 1045
12.9%
2021 1158
14.3%
2020 826
10.2%
2019 628
7.8%
2018 860
10.7%
2017 497
6.2%
2016 431
 
5.3%
2015 121
 
1.5%
2014 82
 
1.0%

관리기관명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
경기도남부경찰청
3848 
경기도북부경찰청
1160 
경기도 고양시
551 
경기도 성남시청
410 
경기도 파주시
 
243
Other values (20)
1859 

Length

Max length17
Median length8
Mean length8.2653946
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도남부경찰청 3848
47.7%
경기도북부경찰청 1160
 
14.4%
경기도 고양시 551
 
6.8%
경기도 성남시청 410
 
5.1%
경기도 파주시 243
 
3.0%
경기남부경찰청 227
 
2.8%
경기도 남양주시청 224
 
2.8%
경기도 의정부시 212
 
2.6%
경기도 광주시 144
 
1.8%
교통지도과 134
 
1.7%
Other values (15) 918
 
11.4%

Length

2024-05-18T05:30:28.011125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도남부경찰청 3848
33.8%
경기도 2601
22.9%
경기도북부경찰청 1160
 
10.2%
고양시 551
 
4.8%
성남시청 410
 
3.6%
파주시 243
 
2.1%
경기남부경찰청 227
 
2.0%
남양주시청 224
 
2.0%
안산시 217
 
1.9%
생활안전과 217
 
1.9%
Other values (21) 1677
14.7%

관리기관전화번호
Text

Distinct69
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2024-05-18T05:30:28.387101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.099368
Min length12

Characters and Unicode

Total characters97654
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.5%

Sample

1st row031-961-3853
2nd row031-961-3853
3rd row031-961-3853
4th row031-961-3853
5th row031-961-3853
ValueCountFrequency (%)
031-888-3652 3223
39.9%
031-961-3853 1160
 
14.4%
031-888-3952 654
 
8.1%
031-8075-2578 513
 
6.4%
031-729-8523 276
 
3.4%
031-940-4787 243
 
3.0%
031-590-2114 224
 
2.8%
031-828-4844 209
 
2.6%
031-760-4497 144
 
1.8%
031-729-3674 134
 
1.7%
Other values (59) 1291
16.0%
2024-05-18T05:30:29.300572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 17078
17.5%
- 16142
16.5%
3 15315
15.7%
1 10392
10.6%
0 9713
9.9%
5 7501
7.7%
2 7116
7.3%
6 5864
 
6.0%
9 3332
 
3.4%
7 2937
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81512
83.5%
Dash Punctuation 16142
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 17078
21.0%
3 15315
18.8%
1 10392
12.7%
0 9713
11.9%
5 7501
9.2%
2 7116
8.7%
6 5864
 
7.2%
9 3332
 
4.1%
7 2937
 
3.6%
4 2264
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 16142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97654
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 17078
17.5%
- 16142
16.5%
3 15315
15.7%
1 10392
10.6%
0 9713
9.9%
5 7501
7.7%
2 7116
7.3%
6 5864
 
6.0%
9 3332
 
3.4%
7 2937
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 17078
17.5%
- 16142
16.5%
3 15315
15.7%
1 10392
10.6%
0 9713
9.9%
5 7501
7.7%
2 7116
7.3%
6 5864
 
6.0%
9 3332
 
3.4%
7 2937
 
3.0%

데이터기준일자
Date

Distinct24
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
Minimum2022-09-23 00:00:00
Maximum2023-11-01 00:00:00
2024-05-18T05:30:29.667898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:30.090406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

Interactions

2024-05-18T05:30:09.797490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:06.717811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:07.752200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:08.794344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:10.079048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:06.894161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:08.030168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:09.062957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:10.364153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:07.116022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:08.295432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:09.277887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:10.639604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:07.359944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:08.508052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:09.522825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T05:30:30.384903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명도로종류도로노선방향위도경도단속구분제한속도보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
시군명1.0000.6580.7060.9410.9120.8050.6450.4560.5460.9710.9740.976
도로종류0.6581.0000.2560.3220.2880.4460.7440.4560.2750.7570.7870.738
도로노선방향0.7060.2561.0000.3980.3220.6190.3910.2640.2880.7840.8770.769
위도0.9410.3220.3981.0000.5650.4140.4730.2400.3970.8420.8570.824
경도0.9120.2880.3220.5651.0000.4040.4250.1470.2760.7640.7840.790
단속구분0.8050.4460.6190.4140.4041.0000.6860.3190.4440.8580.9590.910
제한속도0.6450.7440.3910.4730.4250.6861.0000.7670.6190.7220.7600.696
보호구역구분0.4560.4560.2640.2400.1470.3190.7671.0000.5010.5180.4600.429
설치연도0.5460.2750.2880.3970.2760.4440.6190.5011.0000.6240.6850.669
관리기관명0.9710.7570.7840.8420.7640.8580.7220.5180.6241.0000.9990.991
관리기관전화번호0.9740.7870.8770.8570.7840.9590.7600.4600.6850.9991.0000.996
데이터기준일자0.9760.7380.7690.8240.7900.9100.6960.4290.6690.9910.9961.000
2024-05-18T05:30:30.771148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로종류시군명도로노선방향단속구분보호구역구분관리기관명
도로종류1.0000.3420.1780.2550.3450.448
시군명0.3421.0000.4420.4530.2390.674
도로노선방향0.1780.4421.0000.3400.0860.582
단속구분0.2550.4530.3401.0000.2130.549
보호구역구분0.3450.2390.0860.2131.0000.279
관리기관명0.4480.6740.5820.5490.2791.000
2024-05-18T05:30:31.089087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도제한속도설치연도시군명도로종류도로노선방향단속구분보호구역구분관리기관명
위도1.000-0.242-0.254-0.2580.7070.1690.2610.2020.1470.489
경도-0.2421.0000.2170.0780.6260.1500.2040.1970.0880.390
제한속도-0.2540.2171.0000.0570.2890.5010.2560.3990.6440.349
설치연도-0.2580.0780.0571.0000.2240.1420.1790.2200.2550.284
시군명0.7070.6260.2890.2241.0000.3420.4420.4530.2390.674
도로종류0.1690.1500.5010.1420.3421.0000.1780.2550.3450.448
도로노선방향0.2610.2040.2560.1790.4420.1781.0000.3400.0860.582
단속구분0.2020.1970.3990.2200.4530.2550.3401.0000.2130.549
보호구역구분0.1470.0880.6440.2550.2390.3450.0860.2131.0000.279
관리기관명0.4890.3900.3490.2840.6740.4480.5820.5490.2791.000

Missing values

2024-05-18T05:30:11.066885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T05:30:11.789097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-18T05:30:12.259312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

무인교통단속카메라관리번호시도명시군명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
0H4724경기도가평군시도<NA>청군로3<NA>경기도 가평군 상면 임초리 413-337.774955127.371205상면초교(상면교차로→개누리고개)013022021경기도북부경찰청031-961-38532023-11-01
1G2403경기도가평군일반국도75호반로1<NA>경기도 가평군 가평읍 달전리 452-1037.813968127.514933농협앞(남이섬→가평경찰서)0130992018경기도북부경찰청031-961-38532023-11-01
2F5507경기도가평군일반국도3유명로1<NA>경기도 가평군 설악면 천안리 470-337.64838127.47522이레요양원앞(양평군→청평)0150992016경기도북부경찰청031-961-38532023-11-01
3H3619경기도가평군일반국도46경춘로2경기도 가평군 청평면 경춘로 1449경기도 가평군 청평면 상천리 236-237.779005127.463961초옥동마을입구교차로(가평→서울)0260992021경기도북부경찰청031-961-38532023-11-01
4H5792경기도가평군일반국도75가화로2<NA>경기도 가평군 북면 이곡리 67-2137.880141127.546156목동초교 건너편(목동버스터미널→가평군청)023022021경기도북부경찰청031-961-38532023-11-01
5H5793경기도가평군지방도86한서로3경기도 가평군 설악면 한서로 233경기도 가평군 설악면 위곡리 718-137.670623127.515358미원초교 위곡분교(홍천→설악면)023022021경기도북부경찰청031-961-38532023-11-01
6H5794경기도가평군지방도86한서로3<NA>경기도 가평군 설악면 위곡리 795-337.669884127.515763미원초교 위곡분교 건너편(설악면→홍천)023022021경기도북부경찰청031-961-38532023-11-01
7H3601경기도가평군일반국도46경춘로2<NA>경기도 가평군 가평읍 대곡리 10-3437.823307127.518281가평2교 남단(춘천→서울)0170992021경기도북부경찰청031-961-38532023-11-01
8H3602경기도가평군일반국도37금강로2<NA>경기도 가평군 상면 봉수리 185-337.861352127.289697봉수교차로 626 봉수교차로 500m(춘천→서울)0170992021경기도북부경찰청031-961-38532023-11-01
9H4872경기도가평군시도<NA>석봉로191번길3경기도 가평군 가평읍 연인2길 22-1경기도 가평군 가평읍 읍내리 493-337.829803127.511053가평초교 건너편(가평역→가평군청)023022020경기도북부경찰청031-961-38532023-11-01
무인교통단속카메라관리번호시도명시군명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
8061H9893경기도화성시시도<NA>동탄대로24길3<NA>경기도 화성시 영천동 88537.21674127.109152늘봄초교앞삼거리(기흥동탄IC→동탄파크한양수자인아파트)023022023경기도남부경찰청031-888-36522023-11-01
8062131경기도화성시시도<NA>상리로3<NA>경기도 화성시 향남읍 평리 121 737.130751126.907711도로040<NA>2022교통지도과031-5189-26582023-07-04
8063H3413경기도화성시고속국도3서해안고속도로1<NA>경기도 화성시 구문천리 734-137.07883126.878552서해안고속도로 294.4km(서평택IC→발안IC)01110992022경기도남부경찰청031-888-36522023-11-01
8064106경기도화성시시도<NA>발안로3<NA>경기도 화성시 향남읍 발안리 30037.130034126.902001도로040<NA>2020교통지도과031-5189-26582023-07-04
8065H6319경기도화성시지방도322송산포도로3<NA>경기도 화성시 송산면 마산리 산18637.23103126.691628마산초교정문(사강리→고포리)023022022경기도남부경찰청031-888-36522023-11-01
8066J0595경기도화성시시도<NA>동탄대로시범길3경기도 화성시 동탄대로시범길 219경기도 화성시 청계동 51537.20136127.10568아인초교정문 맞은편(시범우남퍼스트빌아파트→동탄중앙고교)023022023경기도남부경찰청031-888-36522023-11-01
8067H7717경기도화성시시도<NA>동탄대로3경기도 화성시 동탄대로1길 3경기도 화성시 장지동 929-137.159861127.104096NHF아이원아파트앞사거리(동탄역→장지지하차도)0260992023경기도남부경찰청031-888-36522023-11-01
8068H8870경기도화성시시도<NA>병점노을로3<NA>경기도 화성시 병점동 90237.202828127.029867아이파크캐슬 102동앞(새봄초교)(아이파크캐슬→새봄초교)023022023경기도남부경찰청031-888-36522023-11-01
8069H8873경기도화성시시도<NA>동화길3경기도 화성시 봉담읍 동화길 51경기도 화성시 봉담읍 동화리 56437.218942126.954897동화중앙사거리(상봉초교)(봉담중학교→봉담TG)023022023경기도남부경찰청031-888-36522023-11-01
807058경기도화성시시도<NA>제부로3<NA>경기도 화성시 서신면 제부리 190 16037.161573126.620893도로040<NA>2016교통지도과031-5189-26582023-07-04