Overview

Dataset statistics

Number of variables14
Number of observations771
Missing cells605
Missing cells (%)5.6%
Duplicate rows11
Duplicate rows (%)1.4%
Total size in memory86.7 KiB
Average record size in memory115.2 B

Variable types

Numeric3
Categorical6
Text5

Alerts

Dataset has 11 (1.4%) duplicate rowsDuplicates
당해년도운영시작일자 is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
당해또는차년도운영종료일자 is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
시군명 is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
관리기관 is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
기준년도 is highly overall correlated with 시군명 and 5 other fieldsHigh correlation
위도 is highly overall correlated with 시군명 and 5 other fieldsHigh correlation
경도 is highly overall correlated with 시군명 and 5 other fieldsHigh correlation
읍면동명 has 56 (7.3%) missing valuesMissing
관리번호 has 293 (38.0%) missing valuesMissing
소재지도로명주소 has 256 (33.2%) missing valuesMissing

Reproduction

Analysis started2024-04-29 13:18:26.850336
Analysis finished2024-04-29 13:18:30.620483
Duration3.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022.2763
Minimum2019
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-29T22:18:30.668264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2019
5-th percentile2019
Q12022
median2022
Q32024
95-th percentile2024
Maximum2024
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4798015
Coefficient of variation (CV)0.00073175042
Kurtosis-0.39450413
Mean2022.2763
Median Absolute Deviation (MAD)1
Skewness-0.47282937
Sum1559175
Variance2.1898125
MonotonicityDecreasing
2024-04-29T22:18:30.784115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 336
43.6%
2024 255
33.1%
2021 70
 
9.1%
2019 52
 
6.7%
2020 43
 
5.6%
2023 15
 
1.9%
ValueCountFrequency (%)
2019 52
 
6.7%
2020 43
 
5.6%
2021 70
 
9.1%
2022 336
43.6%
2023 15
 
1.9%
2024 255
33.1%
ValueCountFrequency (%)
2024 255
33.1%
2023 15
 
1.9%
2022 336
43.6%
2021 70
 
9.1%
2020 43
 
5.6%
2019 52
 
6.7%

시군명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
의왕시
196 
군포시
144 
부천시
92 
여주시
53 
연천군
52 
Other values (13)
234 

Length

Max length4
Median length3
Mean length3.1011673
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의왕시 196
25.4%
군포시 144
18.7%
부천시 92
11.9%
여주시 53
 
6.9%
연천군 52
 
6.7%
의정부시 41
 
5.3%
이천시 39
 
5.1%
남양주시 30
 
3.9%
양주시 27
 
3.5%
과천시 26
 
3.4%
Other values (8) 71
 
9.2%

Length

2024-04-29T22:18:30.895417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의왕시 196
25.4%
군포시 144
18.7%
부천시 92
11.9%
여주시 53
 
6.9%
연천군 52
 
6.7%
의정부시 41
 
5.3%
이천시 39
 
5.1%
남양주시 30
 
3.9%
양주시 27
 
3.5%
과천시 26
 
3.4%
Other values (8) 71
 
9.2%

읍면동명
Text

MISSING 

Distinct141
Distinct (%)19.7%
Missing56
Missing (%)7.3%
Memory size6.2 KiB
2024-04-29T22:18:31.163970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length4.6895105
Min length2

Characters and Unicode

Total characters3353
Distinct characters122
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

Unique34 ?
Unique (%)4.8%

Sample

1st row소요동
2nd row소요동
3rd row소요동
4th row소요동
5th row불현동
ValueCountFrequency (%)
경기도 144
 
14.4%
군포시 144
 
14.4%
청계동 67
 
6.7%
산본동 59
 
5.9%
고천동 34
 
3.4%
부곡동 33
 
3.3%
오전동 30
 
3.0%
당동 29
 
2.9%
금정동 26
 
2.6%
내손2동 23
 
2.3%
Other values (132) 414
41.3%
2024-04-29T22:18:31.549916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 575
17.1%
288
 
8.6%
도 153
 
4.6%
기 148
 
4.4%
군 146
 
4.4%
포 146
 
4.4%
경 144
 
4.3%
시 144
 
4.3%
면 105
 
3.1%
산 88
 
2.6%
Other values (112) 1416
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2972
88.6%
Space Separator 288
 
8.6%
Decimal Number 93
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 575
19.3%
도 153
 
5.1%
기 148
 
5.0%
군 146
 
4.9%
포 146
 
4.9%
경 144
 
4.8%
시 144
 
4.8%
면 105
 
3.5%
산 88
 
3.0%
본 75
 
2.5%
Other values (105) 1248
42.0%
Decimal Number
ValueCountFrequency (%)
2 42
45.2%
1 40
43.0%
3 7
 
7.5%
4 2
 
2.2%
6 1
 
1.1%
8 1
 
1.1%
Space Separator
ValueCountFrequency (%)
288
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2972
88.6%
Common 381
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 575
19.3%
도 153
 
5.1%
기 148
 
5.0%
군 146
 
4.9%
포 146
 
4.9%
경 144
 
4.8%
시 144
 
4.8%
면 105
 
3.5%
산 88
 
3.0%
본 75
 
2.5%
Other values (105) 1248
42.0%
Common
ValueCountFrequency (%)
288
75.6%
2 42
 
11.0%
1 40
 
10.5%
3 7
 
1.8%
4 2
 
0.5%
6 1
 
0.3%
8 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2972
88.6%
ASCII 381
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 575
19.3%
도 153
 
5.1%
기 148
 
5.0%
군 146
 
4.9%
포 146
 
4.9%
경 144
 
4.8%
시 144
 
4.8%
면 105
 
3.5%
산 88
 
3.0%
본 75
 
2.5%
Other values (105) 1248
42.0%
ASCII
ValueCountFrequency (%)
288
75.6%
2 42
 
11.0%
1 40
 
10.5%
3 7
 
1.8%
4 2
 
0.5%
6 1
 
0.3%
8 1
 
0.3%

관리번호
Text

MISSING 

Distinct474
Distinct (%)99.2%
Missing293
Missing (%)38.0%
Memory size6.2 KiB
2024-04-29T22:18:31.832772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.6527197
Min length1

Characters and Unicode

Total characters2224
Distinct characters80
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

Unique470 ?
Unique (%)98.3%

Sample

1st row소요동-001
2nd row소요동-002
3rd row소요동-002
4th row소요동-003
5th row불현동-001
ValueCountFrequency (%)
소요동-002 2
 
0.4%
27113 2
 
0.4%
신곡1동-02 2
 
0.4%
신곡2동-01 2
 
0.4%
63 1
 
0.2%
29 1
 
0.2%
101 1
 
0.2%
86 1
 
0.2%
11 1
 
0.2%
소요동-001 1
 
0.2%
Other values (464) 464
97.1%
2024-04-29T22:18:32.268393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 368
16.5%
0 344
15.5%
1 279
12.5%
7 252
11.3%
- 138
 
6.2%
3 111
 
5.0%
4 88
 
4.0%
9 66
 
3.0%
5 64
 
2.9%
8 64
 
2.9%
Other values (70) 450
20.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1695
76.2%
Other Letter 391
 
17.6%
Dash Punctuation 138
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
 
15.6%
면 29
 
7.4%
양 21
 
5.4%
읍 17
 
4.3%
신 15
 
3.8%
산 14
 
3.6%
부 13
 
3.3%
가 12
 
3.1%
송 11
 
2.8%
사 11
 
2.8%
Other values (59) 187
47.8%
Decimal Number
ValueCountFrequency (%)
2 368
21.7%
0 344
20.3%
1 279
16.5%
7 252
14.9%
3 111
 
6.5%
4 88
 
5.2%
9 66
 
3.9%
5 64
 
3.8%
8 64
 
3.8%
6 59
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1833
82.4%
Hangul 391
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
 
15.6%
면 29
 
7.4%
양 21
 
5.4%
읍 17
 
4.3%
신 15
 
3.8%
산 14
 
3.6%
부 13
 
3.3%
가 12
 
3.1%
송 11
 
2.8%
사 11
 
2.8%
Other values (59) 187
47.8%
Common
ValueCountFrequency (%)
2 368
20.1%
0 344
18.8%
1 279
15.2%
7 252
13.7%
- 138
 
7.5%
3 111
 
6.1%
4 88
 
4.8%
9 66
 
3.6%
5 64
 
3.5%
8 64
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1833
82.4%
Hangul 391
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 368
20.1%
0 344
18.8%
1 279
15.2%
7 252
13.7%
- 138
 
7.5%
3 111
 
6.1%
4 88
 
4.8%
9 66
 
3.6%
5 64
 
3.5%
8 64
 
3.5%
Hangul
ValueCountFrequency (%)
동 61
 
15.6%
면 29
 
7.4%
양 21
 
5.4%
읍 17
 
4.3%
신 15
 
3.8%
산 14
 
3.6%
부 13
 
3.3%
가 12
 
3.1%
송 11
 
2.8%
사 11
 
2.8%
Other values (59) 187
47.8%

설치장소명
Text

Distinct687
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-04-29T22:18:32.508394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length10.020752
Min length2

Characters and Unicode

Total characters7726
Distinct characters384
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

Unique608 ?
Unique (%)78.9%

Sample

1st row[16-075] 창말.동양대학교
2nd row[16-081] 창말.동양대학교
3rd row[16-143] 하봉암동
4th row[16-144] 하봉암동
5th row[16-168] 광암파출소
ValueCountFrequency (%)
앞 53
 
4.5%
버스정류장 34
 
2.9%
버스승강장 29
 
2.5%
경로당 18
 
1.5%
정류장 18
 
1.5%
상행 10
 
0.8%
국민은행 9
 
0.8%
마을회관(경로당 9
 
0.8%
군포농협 7
 
0.6%
마을회관 7
 
0.6%
Other values (805) 987
83.6%
2024-04-29T22:18:32.876518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
413
 
5.3%
당 167
 
2.2%
로 163
 
2.1%
경 157
 
2.0%
) 157
 
2.0%
장 156
 
2.0%
( 155
 
2.0%
1 153
 
2.0%
아 152
 
2.0%
스 145
 
1.9%
Other values (374) 5908
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6061
78.4%
Decimal Number 689
 
8.9%
Space Separator 413
 
5.3%
Close Punctuation 164
 
2.1%
Open Punctuation 162
 
2.1%
Other Punctuation 148
 
1.9%
Uppercase Letter 53
 
0.7%
Dash Punctuation 32
 
0.4%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 167
 
2.8%
로 163
 
2.7%
경 157
 
2.6%
장 156
 
2.6%
아 152
 
2.5%
스 145
 
2.4%
지 138
 
2.3%
리 124
 
2.0%
정 112
 
1.8%
버 107
 
1.8%
Other values (342) 4640
76.6%
Uppercase Letter
ValueCountFrequency (%)
K 11
20.8%
T 8
15.1%
C 6
11.3%
S 6
11.3%
L 5
9.4%
G 4
 
7.5%
A 3
 
5.7%
O 3
 
5.7%
B 3
 
5.7%
I 2
 
3.8%
Other values (2) 2
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 153
22.2%
2 121
17.6%
0 87
12.6%
3 77
11.2%
4 49
 
7.1%
8 48
 
7.0%
5 47
 
6.8%
6 37
 
5.4%
7 36
 
5.2%
9 34
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 84
56.8%
, 63
42.6%
? 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 157
95.7%
] 7
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 155
95.7%
[ 7
 
4.3%
Space Separator
ValueCountFrequency (%)
413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6061
78.4%
Common 1608
 
20.8%
Latin 57
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 167
 
2.8%
로 163
 
2.7%
경 157
 
2.6%
장 156
 
2.6%
아 152
 
2.5%
스 145
 
2.4%
지 138
 
2.3%
리 124
 
2.0%
정 112
 
1.8%
버 107
 
1.8%
Other values (342) 4640
76.6%
Common
ValueCountFrequency (%)
413
25.7%
) 157
 
9.8%
( 155
 
9.6%
1 153
 
9.5%
2 121
 
7.5%
0 87
 
5.4%
. 84
 
5.2%
3 77
 
4.8%
, 63
 
3.9%
4 49
 
3.0%
Other values (9) 249
15.5%
Latin
ValueCountFrequency (%)
K 11
19.3%
T 8
14.0%
C 6
10.5%
S 6
10.5%
L 5
8.8%
G 4
 
7.0%
e 4
 
7.0%
A 3
 
5.3%
O 3
 
5.3%
B 3
 
5.3%
Other values (3) 4
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6061
78.4%
ASCII 1665
 
21.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
413
24.8%
) 157
 
9.4%
( 155
 
9.3%
1 153
 
9.2%
2 121
 
7.3%
0 87
 
5.2%
. 84
 
5.0%
3 77
 
4.6%
, 63
 
3.8%
4 49
 
2.9%
Other values (22) 306
18.4%
Hangul
ValueCountFrequency (%)
당 167
 
2.8%
로 163
 
2.7%
경 157
 
2.6%
장 156
 
2.6%
아 152
 
2.5%
스 145
 
2.4%
지 138
 
2.3%
리 124
 
2.0%
정 112
 
1.8%
버 107
 
1.8%
Other values (342) 4640
76.6%

소재지도로명주소
Text

MISSING 

Distinct393
Distinct (%)76.3%
Missing256
Missing (%)33.2%
Memory size6.2 KiB
2024-04-29T22:18:33.159022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length17.961165
Min length11

Characters and Unicode

Total characters9250
Distinct characters218
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

Unique347 ?
Unique (%)67.4%

Sample

1st row경기도 동두천시 중앙로 268
2nd row경기도 동두천시 평화로 3034
3rd row경기도 동두천시 광암로 17
4th row경기도 동두천시 중앙로 268
5th row경기도 동두천시 중앙로 261
ValueCountFrequency (%)
경기도 515
23.7%
의왕시 196
 
9.0%
군포시 144
 
6.6%
연천군 52
 
2.4%
산본동 29
 
1.3%
의정부시 27
 
1.2%
부천시 21
 
1.0%
경수대로 16
 
0.7%
안양판교로 15
 
0.7%
당동 15
 
0.7%
Other values (587) 1142
52.6%
2024-04-29T22:18:33.591700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1657
17.9%
경 535
 
5.8%
도 530
 
5.7%
기 515
 
5.6%
로 489
 
5.3%
시 466
 
5.0%
1 262
 
2.8%
군 231
 
2.5%
의 230
 
2.5%
왕 212
 
2.3%
Other values (208) 4123
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6030
65.2%
Space Separator 1657
 
17.9%
Decimal Number 1281
 
13.8%
Open Punctuation 76
 
0.8%
Close Punctuation 76
 
0.8%
Other Punctuation 69
 
0.7%
Dash Punctuation 60
 
0.6%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 535
 
8.9%
도 530
 
8.8%
기 515
 
8.5%
로 489
 
8.1%
시 466
 
7.7%
군 231
 
3.8%
의 230
 
3.8%
왕 212
 
3.5%
포 187
 
3.1%
천 128
 
2.1%
Other values (192) 2507
41.6%
Decimal Number
ValueCountFrequency (%)
1 262
20.5%
2 207
16.2%
3 144
11.2%
4 126
9.8%
5 117
9.1%
6 97
 
7.6%
0 86
 
6.7%
7 83
 
6.5%
8 82
 
6.4%
9 77
 
6.0%
Space Separator
ValueCountFrequency (%)
1657
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6030
65.2%
Common 3219
34.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 535
 
8.9%
도 530
 
8.8%
기 515
 
8.5%
로 489
 
8.1%
시 466
 
7.7%
군 231
 
3.8%
의 230
 
3.8%
왕 212
 
3.5%
포 187
 
3.1%
천 128
 
2.1%
Other values (192) 2507
41.6%
Common
ValueCountFrequency (%)
1657
51.5%
1 262
 
8.1%
2 207
 
6.4%
3 144
 
4.5%
4 126
 
3.9%
5 117
 
3.6%
6 97
 
3.0%
0 86
 
2.7%
7 83
 
2.6%
8 82
 
2.5%
Other values (5) 358
 
11.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6030
65.2%
ASCII 3220
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1657
51.5%
1 262
 
8.1%
2 207
 
6.4%
3 144
 
4.5%
4 126
 
3.9%
5 117
 
3.6%
6 97
 
3.0%
0 86
 
2.7%
7 83
 
2.6%
8 82
 
2.5%
Other values (6) 359
 
11.1%
Hangul
ValueCountFrequency (%)
경 535
 
8.9%
도 530
 
8.8%
기 515
 
8.5%
로 489
 
8.1%
시 466
 
7.7%
군 231
 
3.8%
의 230
 
3.8%
왕 212
 
3.5%
포 187
 
3.1%
천 128
 
2.1%
Other values (192) 2507
41.6%

소재지지번주소
Text

Distinct689
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-04-29T22:18:33.847089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length19.697795
Min length13

Characters and Unicode

Total characters15187
Distinct characters271
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

Unique633 ?
Unique (%)82.1%

Sample

1st row경기도 동두천시 생연동 594-1번지
2nd row경기도 동두천시 동두천동 277-4
3rd row경기도 동두천시 하봉암동 315-1
4th row경기도 동두천시 하봉암동 315-4번지
5th row경기도 동두천시 광암동 494-32번지
ValueCountFrequency (%)
경기도 771
22.6%
의왕시 196
 
5.8%
군포시 144
 
4.2%
부천시 92
 
2.7%
산본동 59
 
1.7%
여주시 53
 
1.6%
연천군 52
 
1.5%
의정부시 41
 
1.2%
내손동 40
 
1.2%
이천시 39
 
1.1%
Other values (1062) 1919
56.3%
2024-04-29T22:18:34.253688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2635
 
17.4%
도 795
 
5.2%
기 775
 
5.1%
경 773
 
5.1%
시 714
 
4.7%
동 633
 
4.2%
1 586
 
3.9%
- 453
 
3.0%
지 399
 
2.6%
2 368
 
2.4%
Other values (261) 7056
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9128
60.1%
Decimal Number 2944
 
19.4%
Space Separator 2635
 
17.4%
Dash Punctuation 453
 
3.0%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 795
 
8.7%
기 775
 
8.5%
경 773
 
8.5%
시 714
 
7.8%
동 633
 
6.9%
지 399
 
4.4%
번 358
 
3.9%
의 267
 
2.9%
천 245
 
2.7%
왕 221
 
2.4%
Other values (239) 3948
43.3%
Decimal Number
ValueCountFrequency (%)
1 586
19.9%
2 368
12.5%
4 310
10.5%
5 272
9.2%
3 256
8.7%
8 249
8.5%
7 246
8.4%
6 245
8.3%
9 215
 
7.3%
0 197
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
K 1
16.7%
V 1
16.7%
I 1
16.7%
E 1
16.7%
W 1
16.7%
Space Separator
ValueCountFrequency (%)
2635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9128
60.1%
Common 6051
39.8%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 795
 
8.7%
기 775
 
8.5%
경 773
 
8.5%
시 714
 
7.8%
동 633
 
6.9%
지 399
 
4.4%
번 358
 
3.9%
의 267
 
2.9%
천 245
 
2.7%
왕 221
 
2.4%
Other values (239) 3948
43.3%
Common
ValueCountFrequency (%)
2635
43.5%
1 586
 
9.7%
- 453
 
7.5%
2 368
 
6.1%
4 310
 
5.1%
5 272
 
4.5%
3 256
 
4.2%
8 249
 
4.1%
7 246
 
4.1%
6 245
 
4.0%
Other values (5) 431
 
7.1%
Latin
ValueCountFrequency (%)
e 2
25.0%
S 1
12.5%
K 1
12.5%
V 1
12.5%
I 1
12.5%
E 1
12.5%
W 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9128
60.1%
ASCII 6059
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2635
43.5%
1 586
 
9.7%
- 453
 
7.5%
2 368
 
6.1%
4 310
 
5.1%
5 272
 
4.5%
3 256
 
4.2%
8 249
 
4.1%
7 246
 
4.1%
6 245
 
4.0%
Other values (12) 439
 
7.2%
Hangul
ValueCountFrequency (%)
도 795
 
8.7%
기 775
 
8.5%
경 773
 
8.5%
시 714
 
7.8%
동 633
 
6.9%
지 399
 
4.4%
번 358
 
3.9%
의 267
 
2.9%
천 245
 
2.7%
왕 221
 
2.4%
Other values (239) 3948
43.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct687
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.475101
Minimum36.985246
Maximum38.213203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-29T22:18:34.397988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.985246
5-th percentile37.26187
Q137.349391
median37.386583
Q337.515847
95-th percentile38.015825
Maximum38.213203
Range1.2279569
Interquartile range (IQR)0.16645587

Descriptive statistics

Standard deviation0.22189138
Coefficient of variation (CV)0.0059210349
Kurtosis1.5729147
Mean37.475101
Median Absolute Deviation (MAD)0.06555
Skewness1.4023977
Sum28893.303
Variance0.049235784
MonotonicityNot monotonic
2024-04-29T22:18:34.539104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.36793331 8
 
1.0%
37.39606671 5
 
0.6%
37.49265023 5
 
0.6%
37.51823423 4
 
0.5%
37.39065001 4
 
0.5%
37.330238 4
 
0.5%
37.49734558 4
 
0.5%
37.52659518 3
 
0.4%
37.48389923 3
 
0.4%
37.346278 3
 
0.4%
Other values (677) 728
94.4%
ValueCountFrequency (%)
36.98524628 1
0.1%
36.98571573 1
0.1%
36.99516351 1
0.1%
36.99771629 1
0.1%
37.06501438 1
0.1%
37.06612253 1
0.1%
37.1053454 1
0.1%
37.1145671 1
0.1%
37.1151254 1
0.1%
37.130500487 1
0.1%
ValueCountFrequency (%)
38.21320319 1
0.1%
38.18914715 1
0.1%
38.18666958 1
0.1%
38.18642893 1
0.1%
38.1829501 1
0.1%
38.18093509 1
0.1%
38.17845095 1
0.1%
38.17589706 1
0.1%
38.17422653 1
0.1%
38.168165 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct684
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03874
Minimum126.5919
Maximum127.71443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-04-29T22:18:34.688713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5919
5-th percentile126.77466
Q1126.93269
median126.97872
Q3127.06375
95-th percentile127.58374
Maximum127.71443
Range1.1225313
Interquartile range (IQR)0.1310519

Descriptive statistics

Standard deviation0.22883684
Coefficient of variation (CV)0.0018013154
Kurtosis1.2406552
Mean127.03874
Median Absolute Deviation (MAD)0.0567999
Skewness1.3453315
Sum97946.869
Variance0.052366299
MonotonicityNot monotonic
2024-04-29T22:18:35.048927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0028001 8
 
1.0%
126.7547688 5
 
0.6%
126.9854331 5
 
0.6%
126.915298 4
 
0.5%
126.9917501 4
 
0.5%
126.7778562 4
 
0.5%
126.7846257 4
 
0.5%
126.766805 3
 
0.4%
126.8202074 3
 
0.4%
126.7672164 3
 
0.4%
Other values (674) 728
94.4%
ValueCountFrequency (%)
126.5919001 1
0.1%
126.6001742507 1
0.1%
126.6234799273 1
0.1%
126.6304743023 1
0.1%
126.6375290534 1
0.1%
126.6603035557 1
0.1%
126.6679686511 1
0.1%
126.6685545997 1
0.1%
126.6771317914 1
0.1%
126.6805672832 1
0.1%
ValueCountFrequency (%)
127.7144314 1
0.1%
127.7131791 1
0.1%
127.712737 1
0.1%
127.7126049 1
0.1%
127.7038221 1
0.1%
127.6803243 1
0.1%
127.663918 1
0.1%
127.6626967 1
0.1%
127.6551297 1
0.1%
127.654686 1
0.1%

당해년도운영시작일자
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
421 
2021-11-15
154 
2022-11-15
52 
2021-10-15
 
39
2019-12-02
 
30
Other values (5)
75 

Length

Max length10
Median length4
Mean length6.7237354
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-24
2nd row2023-11-24
3rd row2023-11-24
4th row2023-11-24
5th row2023-11-24

Common Values

ValueCountFrequency (%)
<NA> 421
54.6%
2021-11-15 154
 
20.0%
2022-11-15 52
 
6.7%
2021-10-15 39
 
5.1%
2019-12-02 30
 
3.9%
2021-01-01 22
 
2.9%
2022-01-01 21
 
2.7%
2020-01-01 20
 
2.6%
2023-11-24 7
 
0.9%
2019-12-24 5
 
0.6%

Length

2024-04-29T22:18:35.174446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:18:35.294058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 421
54.6%
2021-11-15 154
 
20.0%
2022-11-15 52
 
6.7%
2021-10-15 39
 
5.1%
2019-12-02 30
 
3.9%
2021-01-01 22
 
2.9%
2022-01-01 21
 
2.7%
2020-01-01 20
 
2.6%
2023-11-24 7
 
0.9%
2019-12-24 5
 
0.6%

당해또는차년도운영종료일자
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
426 
2022-02-15
113 
2022-03-15
80 
2023-03-15
52 
2020-02-29
 
30
Other values (6)
70 

Length

Max length10
Median length4
Mean length6.6848249
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-31
2nd row2024-03-31
3rd row2024-03-31
4th row2024-03-31
5th row2024-03-31

Common Values

ValueCountFrequency (%)
<NA> 426
55.3%
2022-02-15 113
 
14.7%
2022-03-15 80
 
10.4%
2023-03-15 52
 
6.7%
2020-02-29 30
 
3.9%
2021-04-01 22
 
2.9%
2022-03-28 15
 
1.9%
2020-03-31 15
 
1.9%
2024-03-31 7
 
0.9%
2022-03-31 6
 
0.8%

Length

2024-04-29T22:18:35.426064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 426
55.3%
2022-02-15 113
 
14.7%
2022-03-15 80
 
10.4%
2023-03-15 52
 
6.7%
2020-02-29 30
 
3.9%
2021-04-01 22
 
2.9%
2022-03-28 15
 
1.9%
2020-03-31 15
 
1.9%
2024-03-31 7
 
0.9%
2022-03-31 6
 
0.8%

관리기관
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
의왕시
196 
경기도 군포시청
144 
부천시 365안전센터
92 
여주시 교통행정과
43 
의정부시청
41 
Other values (30)
255 

Length

Max length14
Median length11
Mean length6.9468223
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
의왕시 196
25.4%
경기도 군포시청 144
18.7%
부천시 365안전센터 92
11.9%
여주시 교통행정과 43
 
5.6%
의정부시청 41
 
5.3%
이천시청 안전총괄과 39
 
5.1%
JL컴퍼니 30
 
3.9%
과천시청 교통과 교통시설팀 26
 
3.4%
양주시 대중교통과 24
 
3.1%
녹야원 15
 
1.9%
Other values (25) 121
15.7%

Length

2024-04-29T22:18:35.554120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의왕시 196
15.8%
경기도 151
12.2%
군포시청 144
11.6%
부천시 92
 
7.4%
365안전센터 92
 
7.4%
여주시 53
 
4.3%
교통행정과 50
 
4.0%
교통과 41
 
3.3%
의정부시청 41
 
3.3%
이천시청 39
 
3.1%
Other values (35) 342
27.6%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
031-345-3333
196 
<NA>
156 
031-390-0446
144 
031-887-2623
43 
031-828-4965
41 
Other values (24)
191 

Length

Max length13
Median length12
Mean length10.422827
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row031-860-2433
2nd row031-860-2433
3rd row031-860-2433
4th row031-860-2433
5th row031-860-2433

Common Values

ValueCountFrequency (%)
031-345-3333 196
25.4%
<NA> 156
20.2%
031-390-0446 144
18.7%
031-887-2623 43
 
5.6%
031-828-4965 41
 
5.3%
031-644-2979 39
 
5.1%
031-528-1190 30
 
3.9%
031-8082-6622 24
 
3.1%
031-770-3758 15
 
1.9%
031-839-2888 10
 
1.3%
Other values (19) 73
 
9.5%

Length

2024-04-29T22:18:35.673783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-345-3333 196
25.4%
na 156
20.2%
031-390-0446 144
18.7%
031-887-2623 43
 
5.6%
031-828-4965 41
 
5.3%
031-644-2979 39
 
5.1%
031-528-1190 30
 
3.9%
031-8082-6622 24
 
3.1%
031-770-3758 15
 
1.9%
031-839-2888 10
 
1.3%
Other values (19) 73
 
9.5%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-04-23
196 
2022-04-20
144 
2022-05-26
92 
2023-06-30
53 
2024-03-06
52 
Other values (13)
234 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-29
2nd row2024-03-29
3rd row2024-03-29
4th row2024-03-29
5th row2024-03-29

Common Values

ValueCountFrequency (%)
2024-04-23 196
25.4%
2022-04-20 144
18.7%
2022-05-26 92
11.9%
2023-06-30 53
 
6.9%
2024-03-06 52
 
6.7%
2023-04-19 41
 
5.3%
2023-09-15 39
 
5.1%
2020-03-10 30
 
3.9%
2021-03-17 27
 
3.5%
2020-03-26 26
 
3.4%
Other values (8) 71
 
9.2%

Length

2024-04-29T22:18:35.777204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-04-23 196
25.4%
2022-04-20 144
18.7%
2022-05-26 92
11.9%
2023-06-30 53
 
6.9%
2024-03-06 52
 
6.7%
2023-04-19 41
 
5.3%
2023-09-15 39
 
5.1%
2020-03-10 30
 
3.9%
2021-03-17 27
 
3.5%
2020-03-26 26
 
3.4%
Other values (8) 71
 
9.2%

Interactions

2024-04-29T22:18:29.914569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:29.310595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:29.650659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:30.000056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:29.462234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:29.732358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:30.092633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:29.561587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:18:29.824579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-29T22:18:35.853063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명위도경도당해년도운영시작일자당해또는차년도운영종료일자관리기관관리기관전화번호데이터기준일자
기준년도1.0000.9940.7810.8820.9620.9670.9980.9900.994
시군명0.9941.0000.9460.9330.9900.9991.0001.0001.000
위도0.7810.9461.0000.8780.8780.9700.9760.9640.946
경도0.8820.9330.8781.0000.8250.9250.9590.9150.933
당해년도운영시작일자0.9620.9900.8780.8251.0000.9850.9990.9930.990
당해또는차년도운영종료일자0.9670.9990.9700.9250.9851.0001.0000.9940.999
관리기관0.9981.0000.9760.9590.9991.0001.0001.0001.000
관리기관전화번호0.9901.0000.9640.9150.9930.9941.0001.0001.000
데이터기준일자0.9941.0000.9460.9330.9900.9991.0001.0001.000
2024-04-29T22:18:35.966451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
당해년도운영시작일자관리기관전화번호당해또는차년도운영종료일자데이터기준일자시군명관리기관
당해년도운영시작일자1.0000.9530.9490.9720.9720.971
관리기관전화번호0.9531.0000.9550.9870.9871.000
당해또는차년도운영종료일자0.9490.9551.0000.9410.9410.959
데이터기준일자0.9720.9870.9411.0001.0000.989
시군명0.9720.9870.9411.0001.0000.989
관리기관0.9711.0000.9590.9890.9891.000
2024-04-29T22:18:36.065976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도위도경도시군명당해년도운영시작일자당해또는차년도운영종료일자관리기관관리기관전화번호데이터기준일자
기준년도1.0000.000-0.0410.9770.9400.9350.9740.8790.977
위도0.0001.000-0.0460.7590.6540.7000.8090.7870.759
경도-0.041-0.0461.0000.7180.5640.5530.7370.6440.718
시군명0.9770.7590.7181.0000.9720.9410.9890.9871.000
당해년도운영시작일자0.9400.6540.5640.9721.0000.9490.9710.9530.972
당해또는차년도운영종료일자0.9350.7000.5530.9410.9491.0000.9590.9550.941
관리기관0.9740.8090.7370.9890.9710.9591.0001.0000.989
관리기관전화번호0.8790.7870.6440.9870.9530.9551.0001.0000.987
데이터기준일자0.9770.7590.7181.0000.9720.9410.9890.9871.000

Missing values

2024-04-29T22:18:30.209916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-29T22:18:30.393524image/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.
2024-04-29T22:18:30.533965image/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

기준년도시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도당해년도운영시작일자당해또는차년도운영종료일자관리기관관리기관전화번호데이터기준일자
02024동두천시소요동소요동-001[16-075] 창말.동양대학교경기도 동두천시 중앙로 268경기도 동두천시 생연동 594-1번지37.931249127.056352023-11-242024-03-31경기도 동두천시 교통행정과031-860-24332024-03-29
12024동두천시소요동소요동-002[16-081] 창말.동양대학교<NA>경기도 동두천시 동두천동 277-437.931709127.0565992023-11-242024-03-31경기도 동두천시 교통행정과031-860-24332024-03-29
22024동두천시소요동소요동-002[16-143] 하봉암동<NA>경기도 동두천시 하봉암동 315-137.958865127.0626182023-11-242024-03-31경기도 동두천시 교통행정과031-860-24332024-03-29
32024동두천시소요동소요동-003[16-144] 하봉암동경기도 동두천시 평화로 3034경기도 동두천시 하봉암동 315-4번지37.957409127.0626732023-11-242024-03-31경기도 동두천시 교통행정과031-860-24332024-03-29
42024동두천시불현동불현동-001[16-168] 광암파출소경기도 동두천시 광암로 17경기도 동두천시 광암동 494-32번지37.895447127.0839342023-11-242024-03-31경기도 동두천시 교통행정과031-860-24332024-03-29
52024동두천시중앙동중앙동-001[16-283] 구)버스터미널경기도 동두천시 중앙로 268경기도 동두천시 생연동 594-1번지37.905369127.0545262023-11-242024-03-31경기도 동두천시 교통행정과031-860-24332024-03-29
62024동두천시중앙동중앙동-002[16-284] 구)버스터미널경기도 동두천시 중앙로 261경기도 동두천시 생연동 658-3번지37.904804127.053652023-11-242024-03-31경기도 동두천시 교통행정과031-860-24332024-03-29
72024연천군군남면<NA>군남면행정복지센터경기도 연천군 군남면 군남로 417경기도 연천군 군남면 삼거리 400-5번지38.085188127.0190652022-11-152023-03-15군남면031-839-21732024-03-06
82024연천군청산면<NA>궁평2리 마을회관경기도 연천군 청산면 아우라지길 16-1경기도 연천군 청산면 궁평리 55-1번지38.032565127.1098162022-11-152023-03-15청산면031-839-21742024-03-06
92024연천군백학면<NA>노곡1리 마을회관(경로당)경기도 연천군 백학면 진목로 9경기도 연천군 백학면 노곡리 699-6번지37.996903126.9182212022-11-152023-03-15백학면031-839-26452024-03-06
기준년도시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도당해년도운영시작일자당해또는차년도운영종료일자관리기관관리기관전화번호데이터기준일자
7612019안양시안양4동안양4동-001삼덕도서관 앞<NA>경기도 안양시 만안구 안양동 782-4037.396153126.9152262019-12-24<NA>안양시청 대중교통과031-8045-58572022-05-27
7622019안양시안양1동안양1동-001안양역 앞경기도 안양시 만안구 만안로 230경기도 안양시 만안구 안양동 88-1번지37.401107126.922962019-12-24<NA>안양시청 대중교통과031-8045-58572022-05-27
7632019안양시관양2동관양2동-001인덕원역8번 출구 앞경기도 안양시 동안구 관악대로 479-2경기도 안양시 동안구 관양동 107-3번지37.404758126.9728662019-12-24<NA>안양시청 대중교통과031-8045-58572022-05-27
7642019양주시회천2동<NA>덕계역 버스승강장<NA>경기도 양주시 덕계동 27137.818364127.0570672020-01-012020-04-01양주시 안전건설과031-8082-67832021-03-17
7652019양주시회천2동<NA>덕계파출소 인근 버스승강장<NA>경기도 양주시 덕계동 681-3237.818558127.0458242020-01-012020-04-01양주시 안전건설과031-8082-67832021-03-17
7662019양주시회천2동<NA>회정동 전자랜드 인근 버스승강장<NA>경기도 양주시 회정동 345-1637.828646127.0532922020-01-012020-04-01양주시 안전건설과031-8082-67832021-03-17
7672019화성시동탄2동<NA>나루마을.월드반도<NA>경기도 화성시 반송동 264-337.190362127.077338<NA><NA>화성시<NA>2020-05-27
7682019화성시남양읍<NA>남양사거리경기도 화성시 향남읍 향남로 394-1경기도 화성시 향남읍 행정리 56737.1305126.921102<NA><NA>화성시<NA>2020-05-27
7692019화성시동탄6동<NA>포스코더?.롯데캐슬<NA>경기도 화성시 청계동 56037.199609127.098884<NA><NA>화성시<NA>2020-05-27
7702019화성시향남읍<NA>화성소방서.홈플러스<NA>경기도 화성시 남양읍 남양리 240937.210934126.821327<NA><NA>화성시<NA>2020-05-27

Duplicate rows

Most frequently occurring

기준년도시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도당해년도운영시작일자당해또는차년도운영종료일자관리기관관리기관전화번호데이터기준일자# duplicates
02020과천시<NA><NA>문원동버스종점 버스승강장(21101)경기도 과천시 문원로 110경기도 과천시 문원동 14237.424471127.007717<NA><NA>과천시청 교통과 교통시설팀<NA>2020-03-262
12022부천시고강동<NA>고강선사유적공원 앞<NA>경기도 부천시 고강동 46637.526595126.816017<NA><NA>부천시 365안전센터<NA>2022-05-262
22022부천시도당동<NA>공구상가, 부천천문과학관<NA>경기도 부천시 도당동 25237.508145126.785469<NA><NA>부천시 365안전센터<NA>2022-05-262
32022부천시소사본동<NA>소사역<NA>경기도 부천시 소사본동 39537.482682126.795187<NA><NA>부천시 365안전센터<NA>2022-05-262
42022부천시송내동<NA>송내사회체육관, 부천고, 부천공고<NA>경기도 부천시 송내동 47837.483899126.766805<NA><NA>부천시 365안전센터<NA>2022-05-262
52022부천시심곡동<NA>KT부천지사경기도 부천시 부일로 410-1경기도 부천시 심곡동 414번지37.486987126.774665<NA><NA>부천시 365안전센터<NA>2022-05-262
62022부천시심곡동<NA>대성병원<NA>경기도 부천시 심곡동 178-1937.491402126.784297<NA><NA>부천시 365안전센터<NA>2022-05-262
72022부천시원종동<NA>원종종합시장, 성곡사거리<NA>경기도 부천시 원종동 43337.518648126.804711<NA><NA>부천시 365안전센터<NA>2022-05-262
82022부천시중동<NA>심곡천종점, 부천보건소<NA>경기도 부천시 중동 127437.497346126.777856<NA><NA>부천시 365안전센터<NA>2022-05-262
92022여주시흥천면<NA>효지리<NA>경기도 여주시 흥천면 효지리 217-1537.332291127.542756<NA><NA>여주시 교통행정과031-887-26232023-06-302