Overview

Dataset statistics

Number of variables26
Number of observations1349
Missing cells1579
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory292.6 KiB
Average record size in memory222.1 B

Variable types

Text6
Categorical10
Numeric9
DateTime1

Dataset

Description가변전광표지판(안내전광판) 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YWA68DFXBITQI4SIT1W729042429&infSeq=1

Alerts

시도명 has constant value ""Constant
출력방향코드 is highly imbalanced (50.1%)Imbalance
발광패널유형코드 is highly imbalanced (95.9%)Imbalance
도로노선번호 has 238 (17.6%) missing valuesMissing
영상표시면가로길이 has 242 (17.9%) missing valuesMissing
영상표시면세로길이 has 242 (17.9%) missing valuesMissing
전광판함체가로길이 has 280 (20.8%) missing valuesMissing
전광판함체세로길이 has 283 (21.0%) missing valuesMissing
전광판높이 has 294 (21.8%) missing valuesMissing
시군구코드 is highly skewed (γ1 = -20.50323104)Skewed

Reproduction

Analysis started2024-04-11 01:53:13.109352
Analysis finished2024-04-11 01:53:13.982690
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가변전광표지판명
Text

Distinct1304
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-04-11T10:53:14.185694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.5025945
Min length2

Characters and Unicode

Total characters11470
Distinct characters454
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1276 ?
Unique (%)94.6%

Sample

1st row가평군 북면 적목리
2nd row신청평대교삼거리 후
3rd row산유리감리교회 앞
4th row가평군 가평읍 산유리
5th row관터마을입구교차로
ValueCountFrequency (%)
앞 104
 
5.1%
전 75
 
3.7%
서울방향 53
 
2.6%
후 36
 
1.8%
부산방향 28
 
1.4%
국도 26
 
1.3%
전광판 19
 
0.9%
외부 19
 
0.9%
방면 16
 
0.8%
lcs 12
 
0.6%
Other values (1375) 1647
80.9%
2024-04-11T10:53:14.581230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
687
 
6.0%
) 359
 
3.1%
( 359
 
3.1%
교 341
 
3.0%
방 301
 
2.6%
C 295
 
2.6%
향 221
 
1.9%
- 208
 
1.8%
리 198
 
1.7%
산 188
 
1.6%
Other values (444) 8313
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8323
72.6%
Uppercase Letter 934
 
8.1%
Space Separator 687
 
6.0%
Decimal Number 501
 
4.4%
Close Punctuation 359
 
3.1%
Open Punctuation 359
 
3.1%
Dash Punctuation 208
 
1.8%
Lowercase Letter 50
 
0.4%
Connector Punctuation 40
 
0.3%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 341
 
4.1%
방 301
 
3.6%
향 221
 
2.7%
리 198
 
2.4%
산 188
 
2.3%
전 187
 
2.2%
서 176
 
2.1%
로 170
 
2.0%
앞 163
 
2.0%
사 138
 
1.7%
Other values (400) 6240
75.0%
Uppercase Letter
ValueCountFrequency (%)
C 295
31.6%
I 175
18.7%
L 98
 
10.5%
S 82
 
8.8%
J 64
 
6.9%
T 44
 
4.7%
G 44
 
4.7%
M 41
 
4.4%
V 38
 
4.1%
B 17
 
1.8%
Other values (8) 36
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 140
27.9%
0 100
20.0%
2 71
14.2%
3 50
 
10.0%
4 35
 
7.0%
7 35
 
7.0%
8 21
 
4.2%
5 20
 
4.0%
6 15
 
3.0%
9 14
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
u 14
28.0%
s 14
28.0%
p 11
22.0%
m 6
12.0%
c 3
 
6.0%
i 1
 
2.0%
k 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
, 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
687
100.0%
Close Punctuation
ValueCountFrequency (%)
) 359
100.0%
Open Punctuation
ValueCountFrequency (%)
( 359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8323
72.6%
Common 2163
 
18.9%
Latin 984
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 341
 
4.1%
방 301
 
3.6%
향 221
 
2.7%
리 198
 
2.4%
산 188
 
2.3%
전 187
 
2.2%
서 176
 
2.1%
로 170
 
2.0%
앞 163
 
2.0%
사 138
 
1.7%
Other values (400) 6240
75.0%
Latin
ValueCountFrequency (%)
C 295
30.0%
I 175
17.8%
L 98
 
10.0%
S 82
 
8.3%
J 64
 
6.5%
T 44
 
4.5%
G 44
 
4.5%
M 41
 
4.2%
V 38
 
3.9%
B 17
 
1.7%
Other values (15) 86
 
8.7%
Common
ValueCountFrequency (%)
687
31.8%
) 359
16.6%
( 359
16.6%
- 208
 
9.6%
1 140
 
6.5%
0 100
 
4.6%
2 71
 
3.3%
3 50
 
2.3%
_ 40
 
1.8%
4 35
 
1.6%
Other values (9) 114
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8323
72.6%
ASCII 3147
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
687
21.8%
) 359
11.4%
( 359
11.4%
C 295
9.4%
- 208
 
6.6%
I 175
 
5.6%
1 140
 
4.4%
0 100
 
3.2%
L 98
 
3.1%
S 82
 
2.6%
Other values (34) 644
20.5%
Hangul
ValueCountFrequency (%)
교 341
 
4.1%
방 301
 
3.6%
향 221
 
2.7%
리 198
 
2.4%
산 188
 
2.3%
전 187
 
2.2%
서 176
 
2.1%
로 170
 
2.0%
앞 163
 
2.0%
사 138
 
1.7%
Other values (400) 6240
75.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
경기도
1349 

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 1349
100.0%

Length

2024-04-11T10:53:14.701672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:14.802054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 1349
100.0%

시군구명
Text

Distinct63
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-04-11T10:53:14.961253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.5255745
Min length2

Characters and Unicode

Total characters4756
Distinct characters64
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 (%)0.6%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row가평군
ValueCountFrequency (%)
화성시 99
 
6.9%
파주시 93
 
6.5%
고양시 77
 
5.4%
포천시 72
 
5.0%
성남시 72
 
5.0%
평택시 67
 
4.7%
남양주시 65
 
4.5%
안성시 61
 
4.2%
시흥시 58
 
4.0%
가평군 48
 
3.3%
Other values (54) 727
50.5%
2024-04-11T10:53:15.253274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1302
27.4%
주 265
 
5.6%
성 251
 
5.3%
양 209
 
4.4%
구 208
 
4.4%
천 166
 
3.5%
남 165
 
3.5%
평 146
 
3.1%
포 130
 
2.7%
안 129
 
2.7%
Other values (54) 1785
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4666
98.1%
Space Separator 90
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1302
27.9%
주 265
 
5.7%
성 251
 
5.4%
양 209
 
4.5%
구 208
 
4.5%
천 166
 
3.6%
남 165
 
3.5%
평 146
 
3.1%
포 130
 
2.8%
안 129
 
2.8%
Other values (53) 1695
36.3%
Space Separator
ValueCountFrequency (%)
90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4666
98.1%
Common 90
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1302
27.9%
주 265
 
5.7%
성 251
 
5.4%
양 209
 
4.5%
구 208
 
4.5%
천 166
 
3.6%
남 165
 
3.5%
평 146
 
3.1%
포 130
 
2.8%
안 129
 
2.8%
Other values (53) 1695
36.3%
Common
ValueCountFrequency (%)
90
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4666
98.1%
ASCII 90
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1302
27.9%
주 265
 
5.7%
성 251
 
5.4%
양 209
 
4.5%
구 208
 
4.5%
천 166
 
3.6%
남 165
 
3.5%
평 146
 
3.1%
포 130
 
2.8%
안 129
 
2.8%
Other values (53) 1695
36.3%
ASCII
ValueCountFrequency (%)
90
100.0%

시군구코드
Real number (ℝ)

SKEWED 

Distinct52
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41363.253
Minimum11350
Maximum41830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:15.381664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11350
5-th percentile41130
Q141273
median41461
Q341590
95-th percentile41820
Maximum41830
Range30480
Interquartile range (IQR)317

Descriptive statistics

Standard deviation1431.8873
Coefficient of variation (CV)0.034617376
Kurtosis427.9229
Mean41363.253
Median Absolute Deviation (MAD)151
Skewness-20.503231
Sum55799028
Variance2050301.2
MonotonicityNot monotonic
2024-04-11T10:53:15.508260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41590 99
 
7.3%
41480 93
 
6.9%
41650 72
 
5.3%
41220 67
 
5.0%
41360 65
 
4.8%
41130 63
 
4.7%
41550 61
 
4.5%
41390 58
 
4.3%
41670 48
 
3.6%
41820 48
 
3.6%
Other values (42) 675
50.0%
ValueCountFrequency (%)
11350 2
 
0.1%
11380 1
 
0.1%
39500 1
 
0.1%
41110 41
3.0%
41111 3
 
0.2%
41113 3
 
0.2%
41115 2
 
0.1%
41117 6
 
0.4%
41130 63
4.7%
41131 11
 
0.8%
ValueCountFrequency (%)
41830 32
 
2.4%
41820 48
3.6%
41800 14
 
1.0%
41670 48
3.6%
41650 72
5.3%
41630 16
 
1.2%
41610 46
3.4%
41590 99
7.3%
41570 41
3.0%
41550 61
4.5%

도로종류
Categorical

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
일반국도
484 
고속국도
401 
시도
238 
지방도
161 
기타
 
35
Other values (3)
 
30

Length

Max length7
Median length4
Mean length3.4996294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반국도 484
35.9%
고속국도 401
29.7%
시도 238
17.6%
지방도 161
 
11.9%
기타 35
 
2.6%
국가지원지방도 14
 
1.0%
특별시도 11
 
0.8%
군도 5
 
0.4%

Length

2024-04-11T10:53:15.621674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:15.714955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반국도 484
35.9%
고속국도 401
29.7%
시도 238
17.6%
지방도 161
 
11.9%
기타 35
 
2.6%
국가지원지방도 14
 
1.0%
특별시도 11
 
0.8%
군도 5
 
0.4%

도로노선명
Text

Distinct329
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-04-11T10:53:15.902771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length4.8554485
Min length2

Characters and Unicode

Total characters6550
Distinct characters235
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

Unique145 ?
Unique (%)10.7%

Sample

1st row가화로
2nd row유명로
3rd row호반로
4th row호반로
5th row경춘로
ValueCountFrequency (%)
경부고속도로 84
 
6.2%
서해안고속도로 35
 
2.6%
호국로 28
 
2.1%
금강로 25
 
1.9%
서울외곽순환고속도로 24
 
1.8%
서동대로 23
 
1.7%
영동고속도로 22
 
1.6%
경춘로 21
 
1.6%
중부고속도로 21
 
1.6%
영동선 21
 
1.6%
Other values (319) 1045
77.5%
2024-04-11T10:53:16.214846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 1254
 
19.1%
도 428
 
6.5%
고 351
 
5.4%
속 330
 
5.0%
대 219
 
3.3%
경 185
 
2.8%
서 171
 
2.6%
부 156
 
2.4%
동 118
 
1.8%
중 94
 
1.4%
Other values (225) 3244
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6278
95.8%
Decimal Number 151
 
2.3%
Open Punctuation 50
 
0.8%
Close Punctuation 50
 
0.8%
Dash Punctuation 18
 
0.3%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1254
20.0%
도 428
 
6.8%
고 351
 
5.6%
속 330
 
5.3%
대 219
 
3.5%
경 185
 
2.9%
서 171
 
2.7%
부 156
 
2.5%
동 118
 
1.9%
중 94
 
1.5%
Other values (212) 2972
47.3%
Decimal Number
ValueCountFrequency (%)
2 41
27.2%
1 41
27.2%
3 31
20.5%
7 14
 
9.3%
5 13
 
8.6%
8 7
 
4.6%
4 3
 
2.0%
9 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6278
95.8%
Common 272
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1254
20.0%
도 428
 
6.8%
고 351
 
5.6%
속 330
 
5.3%
대 219
 
3.5%
경 185
 
2.9%
서 171
 
2.7%
부 156
 
2.5%
동 118
 
1.9%
중 94
 
1.5%
Other values (212) 2972
47.3%
Common
ValueCountFrequency (%)
( 50
18.4%
) 50
18.4%
2 41
15.1%
1 41
15.1%
3 31
11.4%
- 18
 
6.6%
7 14
 
5.1%
5 13
 
4.8%
8 7
 
2.6%
4 3
 
1.1%
Other values (3) 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6278
95.8%
ASCII 272
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 1254
20.0%
도 428
 
6.8%
고 351
 
5.6%
속 330
 
5.3%
대 219
 
3.5%
경 185
 
2.9%
서 171
 
2.7%
부 156
 
2.5%
동 118
 
1.9%
중 94
 
1.5%
Other values (212) 2972
47.3%
ASCII
ValueCountFrequency (%)
( 50
18.4%
) 50
18.4%
2 41
15.1%
1 41
15.1%
3 31
11.4%
- 18
 
6.6%
7 14
 
5.1%
5 13
 
4.8%
8 7
 
2.6%
4 3
 
1.1%
Other values (3) 4
 
1.5%

도로노선번호
Text

MISSING 

Distinct134
Distinct (%)12.1%
Missing238
Missing (%)17.6%
Memory size10.7 KiB
2024-04-11T10:53:16.406079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length2.9576958
Min length1

Characters and Unicode

Total characters3286
Distinct characters28
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

Unique52 ?
Unique (%)4.7%

Sample

1st row75번
2nd row37번
3rd row75번
4th row75번
5th row46번
ValueCountFrequency (%)
1번 111
 
9.9%
43번 62
 
5.5%
37번 56
 
5.0%
3번 50
 
4.5%
50번 43
 
3.8%
100번 41
 
3.7%
17번 37
 
3.3%
45번 35
 
3.1%
6번 35
 
3.1%
42번 32
 
2.9%
Other values (128) 617
55.1%
2024-04-11T10:53:16.713471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
번 941
28.6%
3 410
12.5%
1 339
 
10.3%
7 311
 
9.5%
5 258
 
7.9%
4 245
 
7.5%
0 240
 
7.3%
6 122
 
3.7%
8 120
 
3.7%
2 118
 
3.6%
Other values (18) 182
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2255
68.6%
Other Letter 1015
30.9%
Dash Punctuation 8
 
0.2%
Space Separator 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 941
92.7%
호 25
 
2.5%
선 24
 
2.4%
동 7
 
0.7%
배 3
 
0.3%
곧 3
 
0.3%
정 2
 
0.2%
왕 2
 
0.2%
길 1
 
0.1%
조 1
 
0.1%
Other values (6) 6
 
0.6%
Decimal Number
ValueCountFrequency (%)
3 410
18.2%
1 339
15.0%
7 311
13.8%
5 258
11.4%
4 245
10.9%
0 240
10.6%
6 122
 
5.4%
8 120
 
5.3%
2 118
 
5.2%
9 92
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2271
69.1%
Hangul 1015
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 941
92.7%
호 25
 
2.5%
선 24
 
2.4%
동 7
 
0.7%
배 3
 
0.3%
곧 3
 
0.3%
정 2
 
0.2%
왕 2
 
0.2%
길 1
 
0.1%
조 1
 
0.1%
Other values (6) 6
 
0.6%
Common
ValueCountFrequency (%)
3 410
18.1%
1 339
14.9%
7 311
13.7%
5 258
11.4%
4 245
10.8%
0 240
10.6%
6 122
 
5.4%
8 120
 
5.3%
2 118
 
5.2%
9 92
 
4.1%
Other values (2) 16
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2271
69.1%
Hangul 1015
30.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
번 941
92.7%
호 25
 
2.5%
선 24
 
2.4%
동 7
 
0.7%
배 3
 
0.3%
곧 3
 
0.3%
정 2
 
0.2%
왕 2
 
0.2%
길 1
 
0.1%
조 1
 
0.1%
Other values (6) 6
 
0.6%
ASCII
ValueCountFrequency (%)
3 410
18.1%
1 339
14.9%
7 311
13.7%
5 258
11.4%
4 245
10.8%
0 240
10.6%
6 122
 
5.4%
8 120
 
5.3%
2 118
 
5.2%
9 92
 
4.1%
Other values (2) 16
 
0.7%

도로노선방향
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
1
516 
2
421 
<NA>
395 
3
 
17

Length

Max length4
Median length1
Mean length1.8784285
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 516
38.3%
2 421
31.2%
<NA> 395
29.3%
3 17
 
1.3%

Length

2024-04-11T10:53:16.825438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:16.917003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 516
38.3%
2 421
31.2%
na 395
29.3%
3 17
 
1.3%

위도
Real number (ℝ)

Distinct1317
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.445198
Minimum32.927291
Maximum38.205505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:17.016939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.927291
5-th percentile37.025085
Q137.247778
median37.401464
Q337.663564
95-th percentile37.933611
Maximum38.205505
Range5.278214
Interquartile range (IQR)0.415786

Descriptive statistics

Standard deviation0.30016636
Coefficient of variation (CV)0.008016151
Kurtosis36.987096
Mean37.445198
Median Absolute Deviation (MAD)0.212173
Skewness-2.3313067
Sum50513.572
Variance0.090099846
MonotonicityNot monotonic
2024-04-11T10:53:17.138248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.355845 5
 
0.4%
37.673333 3
 
0.2%
37.243333 2
 
0.1%
37.198056 2
 
0.1%
37.237222 2
 
0.1%
37.646944 2
 
0.1%
37.648889 2
 
0.1%
37.4635801 2
 
0.1%
37.301944 2
 
0.1%
37.597222 2
 
0.1%
Other values (1307) 1325
98.2%
ValueCountFrequency (%)
32.927291 1
0.1%
36.563586 1
0.1%
36.572073 1
0.1%
36.575561 1
0.1%
36.905006 1
0.1%
36.920705 1
0.1%
36.930544 1
0.1%
36.935731 1
0.1%
36.9462 1
0.1%
36.951662 1
0.1%
ValueCountFrequency (%)
38.205505 1
0.1%
38.200099 1
0.1%
38.148427 1
0.1%
38.123927 1
0.1%
38.10608 1
0.1%
38.105608 1
0.1%
38.097379 1
0.1%
38.0965177 1
0.1%
38.090541 1
0.1%
38.08957 1
0.1%

경도
Real number (ℝ)

Distinct1312
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.07762
Minimum126.49047
Maximum128.84052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:17.253525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.49047
5-th percentile126.73053
Q1126.86907
median127.07874
Q3127.22334
95-th percentile127.53979
Maximum128.84052
Range2.35005
Interquartile range (IQR)0.354267

Descriptive statistics

Standard deviation0.25760865
Coefficient of variation (CV)0.0020271756
Kurtosis1.1383999
Mean127.07762
Median Absolute Deviation (MAD)0.183563
Skewness0.61344424
Sum171427.71
Variance0.066362218
MonotonicityNot monotonic
2024-04-11T10:53:17.372571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.103611 6
 
0.4%
126.86353 5
 
0.4%
127.103333 2
 
0.1%
127.463439 2
 
0.1%
127.483899 2
 
0.1%
126.878888 2
 
0.1%
126.782664 2
 
0.1%
127.105833 2
 
0.1%
126.872777 2
 
0.1%
127.600556 2
 
0.1%
Other values (1302) 1322
98.0%
ValueCountFrequency (%)
126.490469 1
0.1%
126.505839 1
0.1%
126.517524 1
0.1%
126.520432 1
0.1%
126.528668 1
0.1%
126.536843 1
0.1%
126.5582629 1
0.1%
126.5691589 1
0.1%
126.5693946 1
0.1%
126.57001 1
0.1%
ValueCountFrequency (%)
128.840519 1
0.1%
127.960211 1
0.1%
127.790278 1
0.1%
127.788067 1
0.1%
127.782994 1
0.1%
127.7519 1
0.1%
127.731944 1
0.1%
127.729382 1
0.1%
127.721569 1
0.1%
127.7192 1
0.1%

영상표시면가로길이
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)6.6%
Missing242
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean6076.5225
Minimum6.2
Maximum38400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:17.496930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile780
Q13600
median6000
Q36100
95-th percentile12000
Maximum38400
Range38393.8
Interquartile range (IQR)2500

Descriptive statistics

Standard deviation3921.5804
Coefficient of variation (CV)0.64536589
Kurtosis12.873349
Mean6076.5225
Median Absolute Deviation (MAD)1200
Skewness2.8320442
Sum6726710.4
Variance15378792
MonotonicityNot monotonic
2024-04-11T10:53:17.623592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6000.0 458
34.0%
9000.0 73
 
5.4%
3600.0 65
 
4.8%
2400.0 49
 
3.6%
7800.0 43
 
3.2%
3200.0 41
 
3.0%
3000.0 32
 
2.4%
7200.0 29
 
2.1%
780.0 26
 
1.9%
6400.0 23
 
1.7%
Other values (63) 268
19.9%
(Missing) 242
17.9%
ValueCountFrequency (%)
6.2 1
 
0.1%
8.6 2
 
0.1%
288.0 2
 
0.1%
300.0 5
 
0.4%
420.0 1
 
0.1%
580.0 3
 
0.2%
600.0 19
1.4%
780.0 26
1.9%
1200.0 18
1.3%
1600.0 1
 
0.1%
ValueCountFrequency (%)
38400.0 1
 
0.1%
32000.0 1
 
0.1%
28800.0 1
 
0.1%
24020.0 1
 
0.1%
24000.0 9
0.7%
21600.0 18
1.3%
19200.0 2
 
0.1%
16000.0 1
 
0.1%
15400.0 4
 
0.3%
14400.0 5
 
0.4%

영상표시면세로길이
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)5.1%
Missing242
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1582.3874
Minimum4.2
Maximum25600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:17.749629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile600
Q11200
median1200
Q31800
95-th percentile3600
Maximum25600
Range25595.8
Interquartile range (IQR)600

Descriptive statistics

Standard deviation1262.5017
Coefficient of variation (CV)0.79784617
Kurtosis121.71297
Mean1582.3874
Median Absolute Deviation (MAD)400
Skewness7.5216389
Sum1751702.8
Variance1593910.5
MonotonicityNot monotonic
2024-04-11T10:53:17.865660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1200.0 501
37.1%
1800.0 116
 
8.6%
600.0 88
 
6.5%
2400.0 41
 
3.0%
120.0 39
 
2.9%
640.0 29
 
2.1%
2300.0 24
 
1.8%
2700.0 23
 
1.7%
3000.0 22
 
1.6%
1600.0 18
 
1.3%
Other values (47) 206
15.3%
(Missing) 242
17.9%
ValueCountFrequency (%)
4.2 1
 
0.1%
4.8 2
 
0.1%
120.0 39
2.9%
224.0 2
 
0.1%
240.0 5
 
0.4%
340.0 4
 
0.3%
480.0 2
 
0.1%
600.0 88
6.5%
640.0 29
 
2.1%
720.0 1
 
0.1%
ValueCountFrequency (%)
25600.0 1
 
0.1%
9000.0 3
 
0.2%
6300.0 1
 
0.1%
5800.0 1
 
0.1%
5760.0 1
 
0.1%
5400.0 18
1.3%
5200.0 1
 
0.1%
4400.0 1
 
0.1%
4200.0 8
0.6%
4100.0 2
 
0.1%

전광판함체가로길이
Real number (ℝ)

MISSING 

Distinct87
Distinct (%)8.1%
Missing280
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean6426.1824
Minimum600
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:17.979555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600
5-th percentile642
Q14000
median6400
Q36400
95-th percentile13000
Maximum40000
Range39400
Interquartile range (IQR)2400

Descriptive statistics

Standard deviation4617.2245
Coefficient of variation (CV)0.71850194
Kurtosis14.825136
Mean6426.1824
Median Absolute Deviation (MAD)1440
Skewness3.283402
Sum6869589
Variance21318762
MonotonicityNot monotonic
2024-04-11T10:53:18.096525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6400 413
30.6%
4000 92
 
6.8%
9400 70
 
5.2%
3400 58
 
4.3%
642 34
 
2.5%
6500 26
 
1.9%
6600 22
 
1.6%
8300 20
 
1.5%
8400 17
 
1.3%
13000 16
 
1.2%
Other values (77) 301
22.3%
(Missing) 280
20.8%
ValueCountFrequency (%)
600 8
 
0.6%
610 4
 
0.3%
640 9
 
0.7%
642 34
2.5%
680 2
 
0.1%
850 13
 
1.0%
900 2
 
0.1%
1400 16
1.2%
1600 9
 
0.7%
1650 1
 
0.1%
ValueCountFrequency (%)
40000 1
 
0.1%
34000 2
 
0.1%
33000 2
 
0.1%
30620 1
 
0.1%
30600 4
 
0.3%
30500 1
 
0.1%
30000 1
 
0.1%
29800 1
 
0.1%
26000 4
 
0.3%
25000 11
0.8%

전광판함체세로길이
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)6.2%
Missing283
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean1997.0516
Minimum600
Maximum28000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:18.411210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600
5-th percentile900
Q11600
median1600
Q32200
95-th percentile4000
Maximum28000
Range27400
Interquartile range (IQR)600

Descriptive statistics

Standard deviation1348.3894
Coefficient of variation (CV)0.67519006
Kurtosis134.1708
Mean1997.0516
Median Absolute Deviation (MAD)100
Skewness8.2710704
Sum2128857
Variance1818153.9
MonotonicityNot monotonic
2024-04-11T10:53:18.522244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1600 518
38.4%
2200 63
 
4.7%
2300 51
 
3.8%
900 34
 
2.5%
1000 25
 
1.9%
4000 20
 
1.5%
2900 18
 
1.3%
1400 18
 
1.3%
1800 17
 
1.3%
800 16
 
1.2%
Other values (56) 286
21.2%
(Missing) 283
21.0%
ValueCountFrequency (%)
600 1
 
0.1%
740 13
 
1.0%
800 16
1.2%
840 14
1.0%
880 2
 
0.1%
900 34
2.5%
910 4
 
0.3%
940 9
 
0.7%
950 10
 
0.7%
1000 25
1.9%
ValueCountFrequency (%)
28000 1
 
0.1%
9000 7
0.5%
6400 4
 
0.3%
6141 1
 
0.1%
5800 13
1.0%
5500 1
 
0.1%
5400 1
 
0.1%
5050 1
 
0.1%
4600 8
0.6%
4240 1
 
0.1%

전광판높이
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)6.4%
Missing294
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean6928.4142
Minimum2400
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:18.642154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2400
5-th percentile4500
Q16500
median6525
Q37500
95-th percentile9400
Maximum25000
Range22600
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation1513.704
Coefficient of variation (CV)0.21847771
Kurtosis20.273299
Mean6928.4142
Median Absolute Deviation (MAD)475
Skewness1.7655018
Sum7309477
Variance2291299.9
MonotonicityNot monotonic
2024-04-11T10:53:18.757298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6500 352
26.1%
8000 98
 
7.3%
7000 48
 
3.6%
7500 47
 
3.5%
6600 45
 
3.3%
8500 32
 
2.4%
5500 22
 
1.6%
7100 19
 
1.4%
9400 17
 
1.3%
7165 17
 
1.3%
Other values (57) 358
26.5%
(Missing) 294
21.8%
ValueCountFrequency (%)
2400 1
 
0.1%
3000 2
 
0.1%
3160 14
1.0%
3300 13
1.0%
3400 2
 
0.1%
3560 12
0.9%
3600 2
 
0.1%
4500 14
1.0%
4600 11
0.8%
4700 2
 
0.1%
ValueCountFrequency (%)
25000 1
 
0.1%
12060 1
 
0.1%
12000 3
0.2%
11800 1
 
0.1%
11570 2
 
0.1%
11500 5
0.4%
11050 1
 
0.1%
11000 6
0.4%
10500 2
 
0.1%
10000 5
0.4%

설치유형코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2
628 
3
404 
1
312 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 628
46.6%
3 404
29.9%
1 312
23.1%
4 5
 
0.4%

Length

2024-04-11T10:53:18.866585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:18.953045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 628
46.6%
3 404
29.9%
1 312
23.1%
4 5
 
0.4%

출력방향코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2
1201 
1
148 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1201
89.0%
1 148
 
11.0%

Length

2024-04-11T10:53:19.067375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:19.170079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1201
89.0%
1 148
 
11.0%

발광패널유형코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
1
1343 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1343
99.6%
2 6
 
0.4%

Length

2024-04-11T10:53:19.275454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:19.372138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1343
99.6%
2 6
 
0.4%

표출색상
Categorical

Distinct17
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
빨간색+노란색+녹색
513 
빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색
304 
<NA>
191 
모든 색상
79 
총천연색
76 
Other values (12)
186 

Length

Max length27
Median length22
Mean length12.479615
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색
2nd row빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색
3rd row빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색
4th row빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색
5th row빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색

Common Values

ValueCountFrequency (%)
빨간색+노란색+녹색 513
38.0%
빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색 304
22.5%
<NA> 191
 
14.2%
모든 색상 79
 
5.9%
총천연색 76
 
5.6%
빨간색+노란색+녹색+흑색 58
 
4.3%
빨간색+노랑색+녹색 25
 
1.9%
빨간+노랑+녹색 23
 
1.7%
FullColor 18
 
1.3%
full color 17
 
1.3%
Other values (7) 45
 
3.3%

Length

2024-04-11T10:53:19.461958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
빨간색+노란색+녹색 513
35.4%
빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색 304
21.0%
na 191
 
13.2%
모든 79
 
5.4%
색상 79
 
5.4%
총천연색 76
 
5.2%
빨간색+노란색+녹색+흑색 58
 
4.0%
빨간색+노랑색+녹색 25
 
1.7%
color 23
 
1.6%
빨간+노랑+녹색 23
 
1.6%
Other values (8) 80
 
5.5%

표시유형코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2
1112 
1
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1112
82.4%
1 237
 
17.6%

Length

2024-04-11T10:53:19.563477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T10:53:19.653663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1112
82.4%
1 237
 
17.6%

출력크기
Text

Distinct97
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-04-11T10:53:19.817970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.1519644
Min length4

Characters and Unicode

Total characters6950
Distinct characters21
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

Unique29 ?
Unique (%)2.1%

Sample

1st row4단2열
2nd row2단6열
3rd row4단2열
4th row4단2열
5th row2단10열
ValueCountFrequency (%)
2단10열 453
29.8%
3단15열 88
 
5.8%
3단13열 73
 
4.8%
2단12열 62
 
4.1%
2단 60
 
3.9%
2단6열 59
 
3.9%
3단10열 43
 
2.8%
12열 42
 
2.8%
1단10열 39
 
2.6%
10열 38
 
2.5%
Other values (88) 563
37.0%
2024-04-11T10:53:20.113579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
열 1329
19.1%
단 1325
19.1%
1 1298
18.7%
2 956
13.8%
0 713
10.3%
3 424
 
6.1%
5 186
 
2.7%
6 185
 
2.7%
171
 
2.5%
4 164
 
2.4%
Other values (11) 199
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4080
58.7%
Other Letter 2662
38.3%
Space Separator 171
 
2.5%
Other Punctuation 31
 
0.4%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1298
31.8%
2 956
23.4%
0 713
17.5%
3 424
 
10.4%
5 186
 
4.6%
6 185
 
4.5%
4 164
 
4.0%
8 96
 
2.4%
9 41
 
1.0%
7 17
 
0.4%
Other Letter
ValueCountFrequency (%)
열 1329
49.9%
단 1325
49.8%
딘 4
 
0.2%
파 1
 
< 0.1%
악 1
 
< 0.1%
불 1
 
< 0.1%
가 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
* 19
61.3%
. 12
38.7%
Space Separator
ValueCountFrequency (%)
171
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4282
61.6%
Hangul 2662
38.3%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1298
30.3%
2 956
22.3%
0 713
16.7%
3 424
 
9.9%
5 186
 
4.3%
6 185
 
4.3%
171
 
4.0%
4 164
 
3.8%
8 96
 
2.2%
9 41
 
1.0%
Other values (3) 48
 
1.1%
Hangul
ValueCountFrequency (%)
열 1329
49.9%
단 1325
49.8%
딘 4
 
0.2%
파 1
 
< 0.1%
악 1
 
< 0.1%
불 1
 
< 0.1%
가 1
 
< 0.1%
Latin
ValueCountFrequency (%)
m 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4288
61.7%
Hangul 2662
38.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
열 1329
49.9%
단 1325
49.8%
딘 4
 
0.2%
파 1
 
< 0.1%
악 1
 
< 0.1%
불 1
 
< 0.1%
가 1
 
< 0.1%
ASCII
ValueCountFrequency (%)
1 1298
30.3%
2 956
22.3%
0 713
16.6%
3 424
 
9.9%
5 186
 
4.3%
6 185
 
4.3%
171
 
4.0%
4 164
 
3.8%
8 96
 
2.2%
9 41
 
1.0%
Other values (4) 54
 
1.3%

제공정보종류
Categorical

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
01+02+03+04
501 
01+02
323 
01+02+03
187 
1
164 
03
 
47
Other values (10)
127 

Length

Max length11
Median length8
Mean length6.9006672
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02+03+04
2nd row01+02+03+04
3rd row02+03+04
4th row02+03+04
5th row01+02+03+04

Common Values

ValueCountFrequency (%)
01+02+03+04 501
37.1%
01+02 323
23.9%
01+02+03 187
 
13.9%
1 164
 
12.2%
03 47
 
3.5%
03+04 30
 
2.2%
3 23
 
1.7%
04 20
 
1.5%
01 17
 
1.3%
02+03+04 13
 
1.0%
Other values (5) 24
 
1.8%

Length

2024-04-11T10:53:20.232029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
01+02+03+04 501
37.1%
01+02 323
23.9%
01+02+03 187
 
13.9%
1 164
 
12.2%
03 47
 
3.5%
03+04 30
 
2.2%
3 23
 
1.7%
04 20
 
1.5%
01 17
 
1.3%
02+03+04 13
 
1.0%
Other values (5) 24
 
1.8%

설치년도
Real number (ℝ)

Distinct18
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.361
Minimum2005
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-11T10:53:20.320771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2009
Q12012
median2017
Q32021
95-th percentile2022
Maximum2023
Range18
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.3725938
Coefficient of variation (CV)0.002168557
Kurtosis-1.121897
Mean2016.361
Median Absolute Deviation (MAD)4
Skewness-0.32618784
Sum2720071
Variance19.119576
MonotonicityNot monotonic
2024-04-11T10:53:20.440979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2021 217
16.1%
2016 124
9.2%
2011 122
9.0%
2022 119
8.8%
2017 103
 
7.6%
2020 94
 
7.0%
2018 79
 
5.9%
2015 74
 
5.5%
2012 74
 
5.5%
2019 68
 
5.0%
Other values (8) 275
20.4%
ValueCountFrequency (%)
2005 1
 
0.1%
2007 21
 
1.6%
2008 8
 
0.6%
2009 65
4.8%
2010 59
4.4%
2011 122
9.0%
2012 74
5.5%
2013 56
4.2%
2014 43
 
3.2%
2015 74
5.5%
ValueCountFrequency (%)
2023 22
 
1.6%
2022 119
8.8%
2021 217
16.1%
2020 94
7.0%
2019 68
 
5.0%
2018 79
 
5.9%
2017 103
7.6%
2016 124
9.2%
2015 74
 
5.5%
2014 43
 
3.2%

관리기관명
Categorical

Distinct43
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
서울지방국토관리청
362 
한국도로공사 수도권본부
197 
경기도 파주시청
76 
경기도 성남시청
63 
경기도 고양시청
 
57
Other values (38)
594 

Length

Max length16
Median length14
Mean length9.767235
Min length6

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
서울지방국토관리청 362
26.8%
한국도로공사 수도권본부 197
14.6%
경기도 파주시청 76
 
5.6%
경기도 성남시청 63
 
4.7%
경기도 고양시청 57
 
4.2%
한국도로공사 강원본부 46
 
3.4%
경기도 수원시 도시안전통합센터 42
 
3.1%
경기도교통정보센터 36
 
2.7%
경기도 남양주시청 32
 
2.4%
경기도 안산시 도시정보센터 31
 
2.3%
Other values (33) 407
30.2%

Length

2024-04-11T10:53:20.581545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 497
21.9%
서울지방국토관리청 362
16.0%
한국도로공사 283
12.5%
수도권본부 197
 
8.7%
파주시청 76
 
3.4%
성남시청 63
 
2.8%
고양시청 57
 
2.5%
강원본부 46
 
2.0%
수원시 42
 
1.9%
도시안전통합센터 42
 
1.9%
Other values (40) 603
26.6%

관리기관전화번호
Text

Distinct67
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-04-11T10:53:20.778422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.62639
Min length9

Characters and Unicode

Total characters15684
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

Unique7 ?
Unique (%)0.5%

Sample

1st row02-753-0945
2nd row02-753-0945
3rd row02-753-0945
4th row02-753-0945
5th row02-753-0945
ValueCountFrequency (%)
02-753-0945 362
26.8%
02-2084-1500 85
 
6.3%
1577-0961 57
 
4.2%
031-729-4553 48
 
3.6%
031-940-5256 44
 
3.3%
031-228-3347 42
 
3.1%
1688-9090 36
 
2.7%
033-811-6800 34
 
2.5%
031-590-8154 32
 
2.4%
031-481-3385 31
 
2.3%
Other values (57) 578
42.8%
2024-04-11T10:53:21.093929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3001
19.1%
- 2598
16.6%
3 1569
10.0%
5 1476
9.4%
2 1396
8.9%
1 1308
8.3%
4 1163
 
7.4%
7 1006
 
6.4%
9 869
 
5.5%
8 822
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13086
83.4%
Dash Punctuation 2598
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3001
22.9%
3 1569
12.0%
5 1476
11.3%
2 1396
10.7%
1 1308
10.0%
4 1163
 
8.9%
7 1006
 
7.7%
9 869
 
6.6%
8 822
 
6.3%
6 476
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 2598
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3001
19.1%
- 2598
16.6%
3 1569
10.0%
5 1476
9.4%
2 1396
8.9%
1 1308
8.3%
4 1163
 
7.4%
7 1006
 
6.4%
9 869
 
5.5%
8 822
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3001
19.1%
- 2598
16.6%
3 1569
10.0%
5 1476
9.4%
2 1396
8.9%
1 1308
8.3%
4 1163
 
7.4%
7 1006
 
6.4%
9 869
 
5.5%
8 822
 
5.2%

데이터기준일자
Date

Distinct24
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum2023-03-02 00:00:00
Maximum2024-01-19 00:00:00
2024-04-11T10:53:21.211163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T10:53:21.322246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

Sample

가변전광표지판명시도명시군구명시군구코드도로종류도로노선명도로노선번호도로노선방향위도경도영상표시면가로길이영상표시면세로길이전광판함체가로길이전광판함체세로길이전광판높이설치유형코드출력방향코드발광패널유형코드표출색상표시유형코드출력크기제공정보종류설치년도관리기관명관리기관전화번호데이터기준일자
0가평군 북면 적목리경기도가평군41820일반국도가화로75번238.005636127.4387291200.02400.0140026003300221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색24단2열02+03+042020서울지방국토관리청02-753-09452024-01-18
1신청평대교삼거리 후경기도가평군41820일반국도유명로37번237.72034127.4138123600.01200.0400016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단6열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
2산유리감리교회 앞경기도가평군41820일반국도호반로75번137.75766127.511691200.02400.0140026003300221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색24단2열02+03+042020서울지방국토관리청02-753-09452024-01-18
3가평군 가평읍 산유리경기도가평군41820일반국도호반로75번137.770935127.508171200.02400.0140026003300221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색24단2열02+03+042020서울지방국토관리청02-753-09452024-01-18
4관터마을입구교차로경기도가평군41820일반국도경춘로46번237.690869127.3809146000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
5소석교경기도가평군41820일반국도경춘로46번137.709697127.3947086000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
6청평대교 전경기도가평군41820일반국도신청평로46번237.730156127.4068836000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
7유답촌마을앞교차로경기도가평군41820일반국도경춘로46번237.759681127.4379256000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
8가평연새장례식장 앞경기도가평군41820일반국도경춘로46번137.764958127.4448426000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
9무지꼴 후경기도가평군41820일반국도경춘로46번237.785783127.4639566000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
가변전광표지판명시도명시군구명시군구코드도로종류도로노선명도로노선번호도로노선방향위도경도영상표시면가로길이영상표시면세로길이전광판함체가로길이전광판함체세로길이전광판높이설치유형코드출력방향코드발광패널유형코드표출색상표시유형코드출력크기제공정보종류설치년도관리기관명관리기관전화번호데이터기준일자
1339송림교차로 후경기도화성시41590일반국도남양로77번137.232156126.8247596000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1340수화교차로 후경기도화성시41590일반국도남양초지로77번237.26117126.8119526000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1341서호1교경기도화성시41590일반국도남양초지로77번237.244236126.8177463600.01200.0400016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단6열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1342맛사랑한식뷔페 앞경기도화성시41590일반국도남양로77번237.179448126.817543600.01200.0400016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단6열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1343현대기아연구소정류장 앞경기도화성시41590일반국도남양로77번137.172472126.8132293600.01200.0400016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단6열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1344노진2사거리 전경기도화성시41590일반국도포승향남로77번137.031078126.8074926000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1345이화사거리 전경기도화성시41590일반국도포승향남로77번237.046619126.7973116000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1346죽말교차로 전경기도화성시41590일반국도포승향남로77번137.087894126.8017896000.01200.0640016006500221빨간색+노란색+녹색+흑색+흰색+청색+분홍색+하늘색22단10열01+02+03+042021서울지방국토관리청02-753-09452024-01-18
1347향남IC(동탄 방면)경기도화성시41590고속국도평택화성고속도로17번137.161537126.99619121600.02700.02360035007200221적색+황색+녹색+청색+청녹색+보라색+백색23단16열01+022020경기고속도로㈜031-297-17312024-01-18
1348부산방향 기흥동탄(LCS)경기도화성시41590고속국도경부고속도로1번137.216667127.0969443000.0600.0400016008500121빨간색+노란색+녹색21단4열01+022011한국도로공사 수도권본부02-2084-15002024-01-18