Overview

Dataset statistics

Number of variables33
Number of observations3866
Missing cells117
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1008.2 KiB
Average record size in memory267.0 B

Variable types

Numeric2
Categorical17
Text13
Boolean1

Dataset

Description신안군내 옥외광고물 신고, 허가정보입니다.
Author전라남도 신안군
URLhttps://www.data.go.kr/data/15063705/fileData.do

Alerts

간판인접도로여부 has constant value ""Constant
간판인접도로여부상세 has constant value ""Constant
구분 is highly imbalanced (61.9%)Imbalance
실명제관리번호 is highly imbalanced (98.7%)Imbalance
연장신고일 is highly imbalanced (97.0%)Imbalance
기타내용 is highly imbalanced (95.6%)Imbalance
수량 is highly imbalanced (81.8%)Imbalance
조명 is highly imbalanced (82.8%)Imbalance
표시층 is highly imbalanced (71.4%)Imbalance
철거일자 is highly imbalanced (97.2%)Imbalance
철거사유 is highly imbalanced (98.4%)Imbalance
철거여부 is highly imbalanced (93.1%)Imbalance
안전도검사여부 is highly imbalanced (90.7%)Imbalance
안전도검사수수료 is highly imbalanced (98.8%)Imbalance
표시장소도로명 has 117 (3.0%) missing valuesMissing
수수료 is highly skewed (γ1 = 42.42255284)Skewed
순번 has unique valuesUnique
수수료 has 1834 (47.4%) zerosZeros

Reproduction

Analysis started2023-12-12 05:09:58.605032
Analysis finished2023-12-12 05:10:00.730697
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct3866
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1933.5
Minimum1
Maximum3866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.1 KiB
2023-12-12T14:10:00.818480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile194.25
Q1967.25
median1933.5
Q32899.75
95-th percentile3672.75
Maximum3866
Range3865
Interquartile range (IQR)1932.5

Descriptive statistics

Standard deviation1116.1624
Coefficient of variation (CV)0.57727561
Kurtosis-1.2
Mean1933.5
Median Absolute Deviation (MAD)966.5
Skewness0
Sum7474911
Variance1245818.5
MonotonicityStrictly increasing
2023-12-12T14:10:01.018687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2539 1
 
< 0.1%
2571 1
 
< 0.1%
2572 1
 
< 0.1%
2573 1
 
< 0.1%
2574 1
 
< 0.1%
2575 1
 
< 0.1%
2576 1
 
< 0.1%
2577 1
 
< 0.1%
2578 1
 
< 0.1%
Other values (3856) 3856
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3866 1
< 0.1%
3865 1
< 0.1%
3864 1
< 0.1%
3863 1
< 0.1%
3862 1
< 0.1%
3861 1
< 0.1%
3860 1
< 0.1%
3859 1
< 0.1%
3858 1
< 0.1%
3857 1
< 0.1%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
신고
3580 
허가
 
286

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신고
2nd row신고
3rd row신고
4th row신고
5th row허가

Common Values

ValueCountFrequency (%)
신고 3580
92.6%
허가 286
 
7.4%

Length

2023-12-12T14:10:01.168409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:01.293074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고 3580
92.6%
허가 286
 
7.4%
Distinct3862
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:01.534074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.990171
Min length4

Characters and Unicode

Total characters88880
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3858 ?
Unique (%)99.8%

Sample

1st row2020-5010049-09-2-00007
2nd row2020-5010058-09-2-00033
3rd row2020-5010060-09-2-00022
4th row2020-5010216-09-2-00144
5th row2020-5010245-09-1-00007
ValueCountFrequency (%)
2019-5010060-09-2-00036 2
 
0.1%
2006-5010058-09-1-00653 2
 
0.1%
2017-5010060-09-2-00002 2
 
0.1%
2
 
0.1%
2008-5010058-09-2-00017 1
 
< 0.1%
2010-5010058-09-2-00011 1
 
< 0.1%
2010-5010058-09-2-00023 1
 
< 0.1%
2010-5010053-09-2-00004 1
 
< 0.1%
2010-5010052-09-2-00001 1
 
< 0.1%
2010-5010058-09-2-00024 1
 
< 0.1%
Other values (3852) 3852
99.6%
2023-12-12T14:10:01.956265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33009
37.1%
- 15464
17.4%
2 10257
 
11.5%
1 9892
 
11.1%
5 6744
 
7.6%
9 5667
 
6.4%
6 2468
 
2.8%
8 1748
 
2.0%
4 1587
 
1.8%
7 1062
 
1.2%
Other values (2) 982
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73404
82.6%
Dash Punctuation 15464
 
17.4%
Space Separator 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33009
45.0%
2 10257
 
14.0%
1 9892
 
13.5%
5 6744
 
9.2%
9 5667
 
7.7%
6 2468
 
3.4%
8 1748
 
2.4%
4 1587
 
2.2%
7 1062
 
1.4%
3 970
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 15464
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88880
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33009
37.1%
- 15464
17.4%
2 10257
 
11.5%
1 9892
 
11.1%
5 6744
 
7.6%
9 5667
 
6.4%
6 2468
 
2.8%
8 1748
 
2.0%
4 1587
 
1.8%
7 1062
 
1.2%
Other values (2) 982
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33009
37.1%
- 15464
17.4%
2 10257
 
11.5%
1 9892
 
11.1%
5 6744
 
7.6%
9 5667
 
6.4%
6 2468
 
2.8%
8 1748
 
2.0%
4 1587
 
1.8%
7 1062
 
1.2%
Other values (2) 982
 
1.1%

실명제관리번호
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3852 
2.02E+17
 
2
1594
 
1
전남91바5535 화물차
 
1
2214
 
1
Other values (9)
 
9

Length

Max length20
Median length1
Mean length1.0318158
Min length1

Unique

Unique12 ?
Unique (%)0.3%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3852
99.6%
2.02E+17 2
 
0.1%
1594 1
 
< 0.1%
전남91바5535 화물차 1
 
< 0.1%
2214 1
 
< 0.1%
2124 1
 
< 0.1%
2209 1
 
< 0.1%
2018-5010054-0000000 1
 
< 0.1%
17-Mar 1
 
< 0.1%
17-Jun 1
 
< 0.1%
Other values (4) 4
 
0.1%

Length

2023-12-12T14:10:02.175764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3852
99.6%
2.02e+17 2
 
0.1%
1594 1
 
< 0.1%
전남91바5535 1
 
< 0.1%
화물차 1
 
< 0.1%
2214 1
 
< 0.1%
2124 1
 
< 0.1%
2209 1
 
< 0.1%
2018-5010054-0000000 1
 
< 0.1%
17-mar 1
 
< 0.1%
Other values (5) 5
 
0.1%
Distinct1292
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:02.501771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9958614
Min length2

Characters and Unicode

Total characters38644
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

Unique589 ?
Unique (%)15.2%

Sample

1st row2020-08-20
2nd row2020-08-21
3rd row2020-08-20
4th row2020-08-19
5th row2020-08-18
ValueCountFrequency (%)
2000-08-21 128
 
3.3%
2000-04-03 92
 
2.4%
2000-08-22 89
 
2.3%
2000-04-06 81
 
2.1%
2000-08-16 77
 
2.0%
1999-12-01 77
 
2.0%
2000-08-30 68
 
1.8%
2000-08-17 62
 
1.6%
2000-04-04 58
 
1.5%
2000-08-18 57
 
1.5%
Other values (1282) 3077
79.6%
2023-12-12T14:10:02.992842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11235
29.1%
- 7732
20.0%
2 6230
16.1%
1 5404
14.0%
8 1745
 
4.5%
9 1530
 
4.0%
7 1188
 
3.1%
4 1099
 
2.8%
6 946
 
2.4%
3 790
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30912
80.0%
Dash Punctuation 7732
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11235
36.3%
2 6230
20.2%
1 5404
17.5%
8 1745
 
5.6%
9 1530
 
4.9%
7 1188
 
3.8%
4 1099
 
3.6%
6 946
 
3.1%
3 790
 
2.6%
5 745
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 7732
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11235
29.1%
- 7732
20.0%
2 6230
16.1%
1 5404
14.0%
8 1745
 
4.5%
9 1530
 
4.0%
7 1188
 
3.1%
4 1099
 
2.8%
6 946
 
2.4%
3 790
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11235
29.1%
- 7732
20.0%
2 6230
16.1%
1 5404
14.0%
8 1745
 
4.5%
9 1530
 
4.0%
7 1188
 
3.1%
4 1099
 
2.8%
6 946
 
2.4%
3 790
 
2.0%

연장신고일
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
--
3820 
2017-07-03
 
4
2020-07-13
 
4
2017-07-11
 
3
2012-04-16
 
3
Other values (29)
 
32

Length

Max length10
Median length2
Mean length2.0951888
Min length2

Unique

Unique26 ?
Unique (%)0.7%

Sample

1st row--
2nd row--
3rd row--
4th row--
5th row--

Common Values

ValueCountFrequency (%)
-- 3820
98.8%
2017-07-03 4
 
0.1%
2020-07-13 4
 
0.1%
2017-07-11 3
 
0.1%
2012-04-16 3
 
0.1%
2014-07-16 2
 
0.1%
2014-12-31 2
 
0.1%
2017-09-18 2
 
0.1%
2019-10-22 1
 
< 0.1%
2019-06-13 1
 
< 0.1%
Other values (24) 24
 
0.6%

Length

2023-12-12T14:10:03.171937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3820
98.8%
2020-07-13 4
 
0.1%
2017-07-03 4
 
0.1%
2017-07-11 3
 
0.1%
2012-04-16 3
 
0.1%
2014-07-16 2
 
0.1%
2014-12-31 2
 
0.1%
2017-09-18 2
 
0.1%
2015-12-28 1
 
< 0.1%
2017-12-01 1
 
< 0.1%
Other values (24) 24
 
0.6%

광고물종류
Categorical

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
현수막게시틀
1218 
지정게시대이용현수막
1156 
벽면이용간판(가로형)
826 
지주이용 간판
148 
지주이용현수막
122 
Other values (16)
396 

Length

Max length12
Median length11
Mean length8.429643
Min length1

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row지정게시대이용현수막
2nd row지정게시대이용현수막
3rd row지정게시대이용현수막
4th row현수막게시틀
5th row지주이용 간판

Common Values

ValueCountFrequency (%)
현수막게시틀 1218
31.5%
지정게시대이용현수막 1156
29.9%
벽면이용간판(가로형) 826
21.4%
지주이용 간판 148
 
3.8%
지주이용현수막 122
 
3.2%
창문이용 광고물 119
 
3.1%
돌출간판 106
 
2.7%
벽면이용간판(세로형) 60
 
1.6%
벽면이용현수막 53
 
1.4%
기타 25
 
0.6%
Other values (11) 33
 
0.9%

Length

2023-12-12T14:10:03.358956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
현수막게시틀 1218
29.3%
지정게시대이용현수막 1156
27.8%
벽면이용간판(가로형 826
19.9%
지주이용 148
 
3.6%
간판 148
 
3.6%
광고물 140
 
3.4%
지주이용현수막 122
 
2.9%
창문이용 119
 
2.9%
돌출간판 106
 
2.5%
벽면이용간판(세로형 60
 
1.4%
Other values (15) 116
 
2.8%
Distinct1454
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:03.592273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length4.2462494
Min length1

Characters and Unicode

Total characters16416
Distinct characters523
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1036 ?
Unique (%)26.8%

Sample

1st row태화광고기획
2nd row신안농협 안좌지점
3rd row신안농업협동조합
4th row종합기획
5th row압해농협하나로마트
ValueCountFrequency (%)
1093
26.6%
압해생태요양병원 87
 
2.1%
종합기획 65
 
1.6%
개인 54
 
1.3%
일심광고 53
 
1.3%
주노광고 48
 
1.2%
선명인쇄광고 36
 
0.9%
누리기획 27
 
0.7%
마커스 26
 
0.6%
압해팰리스파크 22
 
0.5%
Other values (1536) 2593
63.2%
2023-12-12T14:10:04.004923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1102
 
6.7%
388
 
2.4%
386
 
2.4%
302
 
1.8%
271
 
1.7%
259
 
1.6%
251
 
1.5%
244
 
1.5%
239
 
1.5%
238
 
1.4%
Other values (513) 12736
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14613
89.0%
Dash Punctuation 1102
 
6.7%
Space Separator 238
 
1.4%
Close Punctuation 131
 
0.8%
Open Punctuation 127
 
0.8%
Uppercase Letter 122
 
0.7%
Decimal Number 59
 
0.4%
Other Punctuation 16
 
0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
388
 
2.7%
386
 
2.6%
302
 
2.1%
271
 
1.9%
259
 
1.8%
251
 
1.7%
244
 
1.7%
239
 
1.6%
217
 
1.5%
206
 
1.4%
Other values (473) 11850
81.1%
Uppercase Letter
ValueCountFrequency (%)
S 19
15.6%
O 14
11.5%
K 14
11.5%
G 12
9.8%
C 9
7.4%
I 8
6.6%
L 8
6.6%
U 7
 
5.7%
B 7
 
5.7%
A 6
 
4.9%
Other values (7) 18
14.8%
Decimal Number
ValueCountFrequency (%)
2 17
28.8%
4 13
22.0%
0 9
15.3%
1 8
13.6%
5 5
 
8.5%
9 3
 
5.1%
3 2
 
3.4%
6 1
 
1.7%
8 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
37.5%
c 1
 
12.5%
s 1
 
12.5%
j 1
 
12.5%
k 1
 
12.5%
t 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 10
62.5%
· 3
 
18.8%
' 2
 
12.5%
& 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 1102
100.0%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14613
89.0%
Common 1673
 
10.2%
Latin 130
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
388
 
2.7%
386
 
2.6%
302
 
2.1%
271
 
1.9%
259
 
1.8%
251
 
1.7%
244
 
1.7%
239
 
1.6%
217
 
1.5%
206
 
1.4%
Other values (473) 11850
81.1%
Latin
ValueCountFrequency (%)
S 19
14.6%
O 14
10.8%
K 14
10.8%
G 12
9.2%
C 9
 
6.9%
I 8
 
6.2%
L 8
 
6.2%
U 7
 
5.4%
B 7
 
5.4%
A 6
 
4.6%
Other values (13) 26
20.0%
Common
ValueCountFrequency (%)
- 1102
65.9%
238
 
14.2%
) 131
 
7.8%
( 127
 
7.6%
2 17
 
1.0%
4 13
 
0.8%
. 10
 
0.6%
0 9
 
0.5%
1 8
 
0.5%
5 5
 
0.3%
Other values (7) 13
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14613
89.0%
ASCII 1800
 
11.0%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1102
61.2%
238
 
13.2%
) 131
 
7.3%
( 127
 
7.1%
S 19
 
1.1%
2 17
 
0.9%
O 14
 
0.8%
K 14
 
0.8%
4 13
 
0.7%
G 12
 
0.7%
Other values (29) 113
 
6.3%
Hangul
ValueCountFrequency (%)
388
 
2.7%
386
 
2.6%
302
 
2.1%
271
 
1.9%
259
 
1.8%
251
 
1.7%
244
 
1.7%
239
 
1.6%
217
 
1.5%
206
 
1.4%
Other values (473) 11850
81.1%
None
ValueCountFrequency (%)
· 3
100.0%
Distinct1367
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:04.272962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9958614
Min length2

Characters and Unicode

Total characters38644
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

Unique625 ?
Unique (%)16.2%

Sample

1st row2020-08-20
2nd row2020-08-21
3rd row2020-08-20
4th row2020-08-19
5th row2020-08-18
ValueCountFrequency (%)
2000-08-21 126
 
3.3%
1999-12-01 91
 
2.4%
2000-08-22 84
 
2.2%
2000-08-30 68
 
1.8%
2000-08-16 64
 
1.7%
2000-08-17 63
 
1.6%
2000-08-18 57
 
1.5%
2000-08-29 38
 
1.0%
2000-08-28 31
 
0.8%
2000-08-14 26
 
0.7%
Other values (1357) 3218
83.2%
2023-12-12T14:10:04.717015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10354
26.8%
- 7732
20.0%
2 6085
15.7%
1 5801
15.0%
9 2205
 
5.7%
8 1722
 
4.5%
7 1221
 
3.2%
4 1026
 
2.7%
6 881
 
2.3%
5 875
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30912
80.0%
Dash Punctuation 7732
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10354
33.5%
2 6085
19.7%
1 5801
18.8%
9 2205
 
7.1%
8 1722
 
5.6%
7 1221
 
3.9%
4 1026
 
3.3%
6 881
 
2.9%
5 875
 
2.8%
3 742
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 7732
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10354
26.8%
- 7732
20.0%
2 6085
15.7%
1 5801
15.0%
9 2205
 
5.7%
8 1722
 
4.5%
7 1221
 
3.2%
4 1026
 
2.7%
6 881
 
2.3%
5 875
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10354
26.8%
- 7732
20.0%
2 6085
15.7%
1 5801
15.0%
9 2205
 
5.7%
8 1722
 
4.5%
7 1221
 
3.2%
4 1026
 
2.7%
6 881
 
2.3%
5 875
 
2.3%
Distinct1550
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:05.082569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9958614
Min length2

Characters and Unicode

Total characters38644
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

Unique824 ?
Unique (%)21.3%

Sample

1st row2020-09-03
2nd row2020-09-04
3rd row2020-09-03
4th row2020-09-02
5th row2023-08-17
ValueCountFrequency (%)
2003-08-17 199
 
5.1%
2002-12-01 91
 
2.4%
2000-08-30 68
 
1.8%
2003-08-16 46
 
1.2%
2000-08-29 38
 
1.0%
2000-08-16 35
 
0.9%
2000-08-28 31
 
0.8%
2003-08-15 30
 
0.8%
2000-08-22 27
 
0.7%
2000-08-21 26
 
0.7%
Other values (1540) 3275
84.7%
2023-12-12T14:10:05.571795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10496
27.2%
- 7732
20.0%
2 6590
17.1%
1 5649
14.6%
8 1675
 
4.3%
3 1373
 
3.6%
7 1245
 
3.2%
9 1222
 
3.2%
5 902
 
2.3%
6 898
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30912
80.0%
Dash Punctuation 7732
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10496
34.0%
2 6590
21.3%
1 5649
18.3%
8 1675
 
5.4%
3 1373
 
4.4%
7 1245
 
4.0%
9 1222
 
4.0%
5 902
 
2.9%
6 898
 
2.9%
4 862
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 7732
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10496
27.2%
- 7732
20.0%
2 6590
17.1%
1 5649
14.6%
8 1675
 
4.3%
3 1373
 
3.6%
7 1245
 
3.2%
9 1222
 
3.2%
5 902
 
2.3%
6 898
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10496
27.2%
- 7732
20.0%
2 6590
17.1%
1 5649
14.6%
8 1675
 
4.3%
3 1373
 
3.6%
7 1245
 
3.2%
9 1222
 
3.2%
5 902
 
2.3%
6 898
 
2.3%

규격
Text

Distinct857
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:06.024310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length48
Mean length7.2775479
Min length1

Characters and Unicode

Total characters28135
Distinct characters181
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique530 ?
Unique (%)13.7%

Sample

1st row6*0.7
2nd row6*0.7
3rd row5.9*0.7
4th row6000*900
5th row1.2*2.3 높이:4.5
ValueCountFrequency (%)
5.75*0.7 624
 
13.7%
6*0.7 309
 
6.8%
6*0.9 289
 
6.4%
5750*700 140
 
3.1%
6*1 139
 
3.1%
6000*900 133
 
2.9%
5.9*0.7 129
 
2.8%
6.0*0.9 96
 
2.1%
95
 
2.1%
6.00*0.9 81
 
1.8%
Other values (867) 2510
55.2%
2023-12-12T14:10:06.662356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6441
22.9%
. 4106
14.6%
* 3669
13.0%
7 2709
9.6%
5 2637
9.4%
6 1678
 
6.0%
1493
 
5.3%
9 1135
 
4.0%
1 954
 
3.4%
2 541
 
1.9%
Other values (171) 2772
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17323
61.6%
Other Punctuation 8145
28.9%
Space Separator 1493
 
5.3%
Other Letter 1122
 
4.0%
Lowercase Letter 13
 
< 0.1%
Math Symbol 10
 
< 0.1%
Uppercase Letter 10
 
< 0.1%
Dash Punctuation 9
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
292
26.0%
284
25.3%
21
 
1.9%
20
 
1.8%
20
 
1.8%
18
 
1.6%
17
 
1.5%
16
 
1.4%
11
 
1.0%
11
 
1.0%
Other values (143) 412
36.7%
Decimal Number
ValueCountFrequency (%)
0 6441
37.2%
7 2709
15.6%
5 2637
15.2%
6 1678
 
9.7%
9 1135
 
6.6%
1 954
 
5.5%
2 541
 
3.1%
8 520
 
3.0%
4 356
 
2.1%
3 352
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
X 4
40.0%
H 3
30.0%
L 1
 
10.0%
K 1
 
10.0%
S 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 4106
50.4%
* 3669
45.0%
: 369
 
4.5%
/ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
m 6
46.2%
h 5
38.5%
x 2
 
15.4%
Math Symbol
ValueCountFrequency (%)
= 7
70.0%
× 3
30.0%
Space Separator
ValueCountFrequency (%)
1493
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26990
95.9%
Hangul 1122
 
4.0%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
292
26.0%
284
25.3%
21
 
1.9%
20
 
1.8%
20
 
1.8%
18
 
1.6%
17
 
1.5%
16
 
1.4%
11
 
1.0%
11
 
1.0%
Other values (143) 412
36.7%
Common
ValueCountFrequency (%)
0 6441
23.9%
. 4106
15.2%
* 3669
13.6%
7 2709
10.0%
5 2637
9.8%
6 1678
 
6.2%
1493
 
5.5%
9 1135
 
4.2%
1 954
 
3.5%
2 541
 
2.0%
Other values (10) 1627
 
6.0%
Latin
ValueCountFrequency (%)
m 6
26.1%
h 5
21.7%
X 4
17.4%
H 3
13.0%
x 2
 
8.7%
L 1
 
4.3%
K 1
 
4.3%
S 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27010
96.0%
Hangul 1122
 
4.0%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6441
23.8%
. 4106
15.2%
* 3669
13.6%
7 2709
10.0%
5 2637
9.8%
6 1678
 
6.2%
1493
 
5.5%
9 1135
 
4.2%
1 954
 
3.5%
2 541
 
2.0%
Other values (17) 1647
 
6.1%
Hangul
ValueCountFrequency (%)
292
26.0%
284
25.3%
21
 
1.9%
20
 
1.8%
20
 
1.8%
18
 
1.6%
17
 
1.5%
16
 
1.4%
11
 
1.0%
11
 
1.0%
Other values (143) 412
36.7%
None
ValueCountFrequency (%)
× 3
100.0%
Distinct825
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:07.098752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length7.0292292
Min length1

Characters and Unicode

Total characters27175
Distinct characters32
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique499 ?
Unique (%)12.9%

Sample

1st row6*0.7
2nd row6*0.7
3rd row5.9*0.7
4th row6000*900
5th row1.2*2.3 높이:4.5
ValueCountFrequency (%)
5.75*0.7 624
 
14.5%
6*0.7 309
 
7.2%
6*0.9 289
 
6.7%
5750*700 140
 
3.3%
6*1 139
 
3.2%
6000*900 133
 
3.1%
5.9*0.7 129
 
3.0%
6.0*0.9 96
 
2.2%
6.00*0.9 81
 
1.9%
높이:0.7 75
 
1.7%
Other values (779) 2283
53.1%
2023-12-12T14:10:07.717185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6438
23.7%
. 4097
15.1%
* 3669
13.5%
7 2705
10.0%
5 2632
9.7%
6 1674
 
6.2%
1243
 
4.6%
9 1130
 
4.2%
1 940
 
3.5%
2 533
 
2.0%
Other values (22) 2114
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17269
63.5%
Other Punctuation 8050
29.6%
Space Separator 1243
 
4.6%
Other Letter 574
 
2.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 10
 
< 0.1%
Dash Punctuation 8
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6438
37.3%
7 2705
15.7%
5 2632
15.2%
6 1674
 
9.7%
9 1130
 
6.5%
1 940
 
5.4%
2 533
 
3.1%
8 518
 
3.0%
4 353
 
2.0%
3 346
 
2.0%
Other Letter
ValueCountFrequency (%)
284
49.5%
284
49.5%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 4097
50.9%
* 3669
45.6%
: 284
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
m 6
46.2%
h 5
38.5%
x 2
 
15.4%
Math Symbol
ValueCountFrequency (%)
= 7
70.0%
× 3
30.0%
Uppercase Letter
ValueCountFrequency (%)
X 4
66.7%
H 2
33.3%
Space Separator
ValueCountFrequency (%)
1243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26582
97.8%
Hangul 574
 
2.1%
Latin 19
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6438
24.2%
. 4097
15.4%
* 3669
13.8%
7 2705
10.2%
5 2632
9.9%
6 1674
 
6.3%
1243
 
4.7%
9 1130
 
4.3%
1 940
 
3.5%
2 533
 
2.0%
Other values (9) 1521
 
5.7%
Hangul
ValueCountFrequency (%)
284
49.5%
284
49.5%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
Latin
ValueCountFrequency (%)
m 6
31.6%
h 5
26.3%
X 4
21.1%
H 2
 
10.5%
x 2
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26598
97.9%
Hangul 574
 
2.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6438
24.2%
. 4097
15.4%
* 3669
13.8%
7 2705
10.2%
5 2632
9.9%
6 1674
 
6.3%
1243
 
4.7%
9 1130
 
4.2%
1 940
 
3.5%
2 533
 
2.0%
Other values (13) 1537
 
5.8%
Hangul
ValueCountFrequency (%)
284
49.5%
284
49.5%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
1
 
0.2%
None
ValueCountFrequency (%)
× 3
100.0%

기타내용
Categorical

IMBALANCE 

Distinct47
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3786 
현수막
 
19
신규 허가
 
5
사용자재 : 도료
 
4
투표개도
 
4
Other values (42)
 
48

Length

Max length34
Median length1
Mean length1.1655458
Min length1

Unique

Unique37 ?
Unique (%)1.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3786
97.9%
현수막 19
 
0.5%
신규 허가 5
 
0.1%
사용자재 : 도료 4
 
0.1%
투표개도 4
 
0.1%
광고물 철거 3
 
0.1%
지주이용간판 신고대상임 2
 
0.1%
타당함 2
 
0.1%
연장처리 2
 
0.1%
비금면민과 태양광발전을 함께 합니다. 2
 
0.1%
Other values (37) 37
 
1.0%

Length

2023-12-12T14:10:08.176459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3791
95.9%
현수막 20
 
0.5%
신규 7
 
0.2%
허가 7
 
0.2%
철거 6
 
0.2%
도료 5
 
0.1%
합니다 4
 
0.1%
옥외광고물 4
 
0.1%
투표개도 4
 
0.1%
사용자재 4
 
0.1%
Other values (79) 101
 
2.6%

수량
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
1
3394 
2
340 
3
 
77
4
 
23
8
 
9
Other values (10)
 
23

Length

Max length6
Median length1
Mean length1.0025867
Min length1

Unique

Unique5 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 3394
87.8%
2 340
 
8.8%
3 77
 
2.0%
4 23
 
0.6%
8 9
 
0.2%
5 7
 
0.2%
6 4
 
0.1%
9 3
 
0.1%
0 2
 
0.1%
7 2
 
0.1%
Other values (5) 5
 
0.1%

Length

2023-12-12T14:10:08.315750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 3394
87.8%
2 340
 
8.8%
3 77
 
2.0%
4 23
 
0.6%
8 9
 
0.2%
5 7
 
0.2%
6 4
 
0.1%
9 3
 
0.1%
0 2
 
0.1%
7 2
 
0.1%
Other values (5) 5
 
0.1%

조명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3621 
비조명
 
121
기타재료
 
70
일반전기
 
48
전광(간접조명이용)
 
5

Length

Max length10
Median length1
Mean length1.1665804
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3621
93.7%
비조명 121
 
3.1%
기타재료 70
 
1.8%
일반전기 48
 
1.2%
전광(간접조명이용) 5
 
0.1%
네온사인 1
 
< 0.1%

Length

2023-12-12T14:10:08.428601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:08.528758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3621
93.7%
비조명 121
 
3.1%
기타재료 70
 
1.8%
일반전기 48
 
1.2%
전광(간접조명이용 5
 
0.1%
네온사인 1
 
< 0.1%

수수료
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2692.24
Minimum0
Maximum584000
Zeros1834
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size34.1 KiB
2023-12-12T14:10:08.636173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3000
Q33000
95-th percentile9000
Maximum584000
Range584000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation10786.349
Coefficient of variation (CV)4.0064587
Kurtosis2208.2501
Mean2692.24
Median Absolute Deviation (MAD)3000
Skewness42.422553
Sum10408200
Variance1.1634532 × 108
MonotonicityNot monotonic
2023-12-12T14:10:08.759791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 1834
47.4%
3000 1480
38.3%
6000 258
 
6.7%
10000 67
 
1.7%
9000 64
 
1.7%
12000 58
 
1.5%
5000 15
 
0.4%
2000 13
 
0.3%
24000 9
 
0.2%
18000 9
 
0.2%
Other values (24) 59
 
1.5%
ValueCountFrequency (%)
0 1834
47.4%
2000 13
 
0.3%
3000 1480
38.3%
4000 7
 
0.2%
5000 15
 
0.4%
6000 258
 
6.7%
7000 1
 
< 0.1%
8000 4
 
0.1%
9000 64
 
1.7%
10000 67
 
1.7%
ValueCountFrequency (%)
584000 1
 
< 0.1%
180000 1
 
< 0.1%
123000 1
 
< 0.1%
90000 1
 
< 0.1%
78000 1
 
< 0.1%
66000 1
 
< 0.1%
45600 1
 
< 0.1%
40000 1
 
< 0.1%
39000 1
 
< 0.1%
30000 4
0.1%

표시층
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3334 
1
 
295
2
 
57
3
 
54
5
 
44
Other values (3)
 
82

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3334
86.2%
1 295
 
7.6%
2 57
 
1.5%
3 54
 
1.4%
5 44
 
1.1%
6 44
 
1.1%
4 37
 
1.0%
0 1
 
< 0.1%

Length

2023-12-12T14:10:08.885334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:08.980910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3334
86.2%
1 295
 
7.6%
2 57
 
1.5%
3 54
 
1.4%
5 44
 
1.1%
6 44
 
1.1%
4 37
 
1.0%
0 1
 
< 0.1%
Distinct1058
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:09.259532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length51
Mean length25.107863
Min length4

Characters and Unicode

Total characters97067
Distinct characters231
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

Unique679 ?
Unique (%)17.6%

Sample

1st row전라남도 신안군 증도면 증동리
2nd row전라남도 신안군 안좌면 읍동리
3rd row전라남도 신안군 암태면 단고리
4th row전라남도 신안군 압해읍 학교리 585번지 1호 압해읍사무소
5th row전라남도 신안군 압해읍 학교리 612번지
ValueCountFrequency (%)
전라남도 3849
18.3%
신안군 3798
18.1%
압해읍 1316
 
6.3%
학교리 743
 
3.5%
2호 617
 
2.9%
신장리 528
 
2.5%
435번지 505
 
2.4%
1호 504
 
2.4%
안좌면 439
 
2.1%
읍동리 370
 
1.8%
Other values (983) 8338
39.7%
2023-12-12T14:10:09.683358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24347
25.1%
4524
 
4.7%
4501
 
4.6%
4323
 
4.5%
3879
 
4.0%
3872
 
4.0%
3868
 
4.0%
3849
 
4.0%
3730
 
3.8%
3163
 
3.3%
Other values (221) 37011
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60553
62.4%
Space Separator 24347
25.1%
Decimal Number 11798
 
12.2%
Dash Punctuation 360
 
0.4%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4524
 
7.5%
4501
 
7.4%
4323
 
7.1%
3879
 
6.4%
3872
 
6.4%
3868
 
6.4%
3849
 
6.4%
3730
 
6.2%
3163
 
5.2%
2814
 
4.6%
Other values (206) 22030
36.4%
Decimal Number
ValueCountFrequency (%)
1 2009
17.0%
3 1993
16.9%
5 1812
15.4%
2 1376
11.7%
4 1282
10.9%
8 1255
10.6%
6 589
 
5.0%
0 566
 
4.8%
7 537
 
4.6%
9 379
 
3.2%
Space Separator
ValueCountFrequency (%)
24347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60553
62.4%
Common 36514
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4524
 
7.5%
4501
 
7.4%
4323
 
7.1%
3879
 
6.4%
3872
 
6.4%
3868
 
6.4%
3849
 
6.4%
3730
 
6.2%
3163
 
5.2%
2814
 
4.6%
Other values (206) 22030
36.4%
Common
ValueCountFrequency (%)
24347
66.7%
1 2009
 
5.5%
3 1993
 
5.5%
5 1812
 
5.0%
2 1376
 
3.8%
4 1282
 
3.5%
8 1255
 
3.4%
6 589
 
1.6%
0 566
 
1.6%
7 537
 
1.5%
Other values (5) 748
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60553
62.4%
ASCII 36514
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24347
66.7%
1 2009
 
5.5%
3 1993
 
5.5%
5 1812
 
5.0%
2 1376
 
3.8%
4 1282
 
3.5%
8 1255
 
3.4%
6 589
 
1.6%
0 566
 
1.6%
7 537
 
1.5%
Other values (5) 748
 
2.0%
Hangul
ValueCountFrequency (%)
4524
 
7.5%
4501
 
7.4%
4323
 
7.1%
3879
 
6.4%
3872
 
6.4%
3868
 
6.4%
3849
 
6.4%
3730
 
6.2%
3163
 
5.2%
2814
 
4.6%
Other values (206) 22030
36.4%

표시장소도로명
Text

MISSING 

Distinct532
Distinct (%)14.2%
Missing117
Missing (%)3.0%
Memory size30.3 KiB
2023-12-12T14:10:10.056827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length1
Mean length11.979461
Min length1

Characters and Unicode

Total characters44911
Distinct characters231
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

Unique341 ?
Unique (%)9.1%

Sample

1st row전라남도 신안군 증도면 문준경길 188 증도면사무소
2nd row전라남도 신안군 안좌면 김환기길 1-2
3rd row전라남도 신안군 암태면 장단고길 7-52 1층
4th row전라남도 신안군 압해읍 압해로 882 압해읍사무소
5th row전라남도 신안군 압해읍 압해로 836
ValueCountFrequency (%)
1957
16.9%
전라남도 1785
15.4%
신안군 1749
15.1%
압해읍 451
 
3.9%
압해로 420
 
3.6%
882 389
 
3.4%
압해읍사무소 385
 
3.3%
안좌면 254
 
2.2%
서남문로 141
 
1.2%
암태면 136
 
1.2%
Other values (660) 3897
33.7%
2023-12-12T14:10:10.594816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8368
18.6%
- 2584
 
5.8%
2229
 
5.0%
2089
 
4.7%
1939
 
4.3%
1844
 
4.1%
1823
 
4.1%
1787
 
4.0%
1757
 
3.9%
1301
 
2.9%
Other values (221) 19190
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28351
63.1%
Space Separator 8368
 
18.6%
Decimal Number 5387
 
12.0%
Dash Punctuation 2584
 
5.8%
Open Punctuation 110
 
0.2%
Close Punctuation 110
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2229
 
7.9%
2089
 
7.4%
1939
 
6.8%
1844
 
6.5%
1823
 
6.4%
1787
 
6.3%
1757
 
6.2%
1301
 
4.6%
1281
 
4.5%
1260
 
4.4%
Other values (206) 11041
38.9%
Decimal Number
ValueCountFrequency (%)
8 1067
19.8%
1 988
18.3%
2 933
17.3%
3 527
9.8%
6 441
8.2%
7 402
 
7.5%
4 316
 
5.9%
5 272
 
5.0%
0 222
 
4.1%
9 219
 
4.1%
Space Separator
ValueCountFrequency (%)
8368
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2584
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28351
63.1%
Common 16560
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2229
 
7.9%
2089
 
7.4%
1939
 
6.8%
1844
 
6.5%
1823
 
6.4%
1787
 
6.3%
1757
 
6.2%
1301
 
4.6%
1281
 
4.5%
1260
 
4.4%
Other values (206) 11041
38.9%
Common
ValueCountFrequency (%)
8368
50.5%
- 2584
 
15.6%
8 1067
 
6.4%
1 988
 
6.0%
2 933
 
5.6%
3 527
 
3.2%
6 441
 
2.7%
7 402
 
2.4%
4 316
 
1.9%
5 272
 
1.6%
Other values (5) 662
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28351
63.1%
ASCII 16560
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8368
50.5%
- 2584
 
15.6%
8 1067
 
6.4%
1 988
 
6.0%
2 933
 
5.6%
3 527
 
3.2%
6 441
 
2.7%
7 402
 
2.4%
4 316
 
1.9%
5 272
 
1.6%
Other values (5) 662
 
4.0%
Hangul
ValueCountFrequency (%)
2229
 
7.9%
2089
 
7.4%
1939
 
6.8%
1844
 
6.5%
1823
 
6.4%
1787
 
6.3%
1757
 
6.2%
1301
 
4.6%
1281
 
4.5%
1260
 
4.4%
Other values (206) 11041
38.9%

표시행정동
Categorical

Distinct33
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
압해읍
1298 
안좌면
427 
지도읍
320 
비금면
274 
흑산면
264 
Other values (28)
1283 

Length

Max length6
Median length3
Mean length3.0460424
Min length2

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row증도면
2nd row안좌면
3rd row암태면
4th row압해읍
5th row<NA>

Common Values

ValueCountFrequency (%)
압해읍 1298
33.6%
안좌면 427
 
11.0%
지도읍 320
 
8.3%
비금면 274
 
7.1%
흑산면 264
 
6.8%
도초면 182
 
4.7%
<NA> 171
 
4.4%
암태면 158
 
4.1%
팔금면 158
 
4.1%
임자면 152
 
3.9%
Other values (23) 462
 
12.0%

Length

2023-12-12T14:10:10.775802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
압해읍 1298
33.6%
안좌면 427
 
11.0%
지도읍 320
 
8.3%
비금면 274
 
7.1%
흑산면 264
 
6.8%
도초면 182
 
4.7%
na 171
 
4.4%
암태면 158
 
4.1%
팔금면 158
 
4.1%
임자면 152
 
3.9%
Other values (23) 462
 
12.0%

표시법정동
Categorical

Distinct44
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
압해읍
1316 
안좌면
439 
지도읍
333 
흑산면
295 
비금면
282 
Other values (39)
1201 

Length

Max length5
Median length3
Mean length3
Min length2

Unique

Unique13 ?
Unique (%)0.3%

Sample

1st row증도면
2nd row안좌면
3rd row암태면
4th row압해읍
5th row압해읍

Common Values

ValueCountFrequency (%)
압해읍 1316
34.0%
안좌면 439
 
11.4%
지도읍 333
 
8.6%
흑산면 295
 
7.6%
비금면 282
 
7.3%
도초면 189
 
4.9%
팔금면 170
 
4.4%
암태면 161
 
4.2%
임자면 161
 
4.2%
자은면 94
 
2.4%
Other values (34) 426
 
11.0%

Length

2023-12-12T14:10:10.924205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
압해읍 1316
34.0%
안좌면 439
 
11.4%
지도읍 333
 
8.6%
흑산면 295
 
7.6%
비금면 282
 
7.3%
도초면 189
 
4.9%
팔금면 170
 
4.4%
암태면 161
 
4.2%
임자면 161
 
4.2%
자은면 94
 
2.4%
Other values (34) 426
 
11.0%
Distinct168
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:11.199543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.2679772
Min length1

Characters and Unicode

Total characters24232
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

Unique52 ?
Unique (%)1.3%

Sample

1st row58807
2nd row58839
3rd row58836
4th row58824
5th row58824
ValueCountFrequency (%)
535-817 515
 
13.3%
58824 391
 
10.1%
535-815 345
 
8.9%
535-802 249
 
6.4%
535-843 234
 
6.1%
535-911 212
 
5.5%
535-882 115
 
3.0%
58839 113
 
2.9%
58838 85
 
2.2%
58863 77
 
2.0%
Other values (158) 1530
39.6%
2023-12-12T14:10:11.635446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7041
29.1%
8 5131
21.2%
3 3450
14.2%
- 2349
 
9.7%
1 1650
 
6.8%
2 1290
 
5.3%
4 1047
 
4.3%
7 766
 
3.2%
9 636
 
2.6%
0 506
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21883
90.3%
Dash Punctuation 2349
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7041
32.2%
8 5131
23.4%
3 3450
15.8%
1 1650
 
7.5%
2 1290
 
5.9%
4 1047
 
4.8%
7 766
 
3.5%
9 636
 
2.9%
0 506
 
2.3%
6 366
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 2349
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7041
29.1%
8 5131
21.2%
3 3450
14.2%
- 2349
 
9.7%
1 1650
 
6.8%
2 1290
 
5.3%
4 1047
 
4.3%
7 766
 
3.2%
9 636
 
2.6%
0 506
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7041
29.1%
8 5131
21.2%
3 3450
14.2%
- 2349
 
9.7%
1 1650
 
6.8%
2 1290
 
5.3%
4 1047
 
4.3%
7 766
 
3.2%
9 636
 
2.6%
0 506
 
2.1%
Distinct2399
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:11.914892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length33
Mean length6.8321262
Min length1

Characters and Unicode

Total characters26413
Distinct characters690
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1846 ?
Unique (%)47.7%

Sample

1st row전남생명과학고등학교
2nd row신안농협 안좌지점
3rd row신안농업협동조합
4th row종합기획
5th row압해농협하나로마트
ValueCountFrequency (%)
226
 
4.3%
압해생태요양병원 88
 
1.7%
홍보 70
 
1.3%
하이맨비뇨기과 57
 
1.1%
개인 44
 
0.8%
반대 34
 
0.6%
주노광고 29
 
0.5%
마커스 26
 
0.5%
26
 
0.5%
탑정형외과 23
 
0.4%
Other values (2934) 4653
88.2%
2023-12-12T14:10:12.481818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1452
 
5.5%
405
 
1.5%
384
 
1.5%
380
 
1.4%
375
 
1.4%
371
 
1.4%
354
 
1.3%
314
 
1.2%
309
 
1.2%
309
 
1.2%
Other values (680) 21760
82.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23659
89.6%
Space Separator 1452
 
5.5%
Decimal Number 347
 
1.3%
Uppercase Letter 254
 
1.0%
Dash Punctuation 253
 
1.0%
Close Punctuation 132
 
0.5%
Open Punctuation 129
 
0.5%
Lowercase Letter 128
 
0.5%
Other Punctuation 57
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
405
 
1.7%
384
 
1.6%
380
 
1.6%
375
 
1.6%
371
 
1.6%
354
 
1.5%
314
 
1.3%
309
 
1.3%
309
 
1.3%
280
 
1.2%
Other values (615) 20178
85.3%
Uppercase Letter
ValueCountFrequency (%)
L 31
12.2%
S 30
11.8%
O 29
11.4%
G 22
8.7%
I 20
7.9%
C 18
 
7.1%
N 15
 
5.9%
H 14
 
5.5%
T 13
 
5.1%
K 13
 
5.1%
Other values (11) 49
19.3%
Lowercase Letter
ValueCountFrequency (%)
i 19
14.8%
a 14
10.9%
n 14
10.9%
l 12
9.4%
k 8
 
6.2%
o 8
 
6.2%
u 7
 
5.5%
b 7
 
5.5%
y 7
 
5.5%
d 7
 
5.5%
Other values (8) 25
19.5%
Decimal Number
ValueCountFrequency (%)
2 86
24.8%
1 78
22.5%
0 63
18.2%
4 31
 
8.9%
8 22
 
6.3%
5 20
 
5.8%
7 19
 
5.5%
6 12
 
3.5%
3 10
 
2.9%
9 6
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 36
63.2%
! 5
 
8.8%
' 4
 
7.0%
" 4
 
7.0%
· 3
 
5.3%
? 2
 
3.5%
% 1
 
1.8%
& 1
 
1.8%
/ 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 128
97.0%
] 4
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 125
96.9%
[ 4
 
3.1%
Space Separator
ValueCountFrequency (%)
1452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23659
89.6%
Common 2372
 
9.0%
Latin 382
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
405
 
1.7%
384
 
1.6%
380
 
1.6%
375
 
1.6%
371
 
1.6%
354
 
1.5%
314
 
1.3%
309
 
1.3%
309
 
1.3%
280
 
1.2%
Other values (615) 20178
85.3%
Latin
ValueCountFrequency (%)
L 31
 
8.1%
S 30
 
7.9%
O 29
 
7.6%
G 22
 
5.8%
I 20
 
5.2%
i 19
 
5.0%
C 18
 
4.7%
N 15
 
3.9%
a 14
 
3.7%
n 14
 
3.7%
Other values (29) 170
44.5%
Common
ValueCountFrequency (%)
1452
61.2%
- 253
 
10.7%
) 128
 
5.4%
( 125
 
5.3%
2 86
 
3.6%
1 78
 
3.3%
0 63
 
2.7%
. 36
 
1.5%
4 31
 
1.3%
8 22
 
0.9%
Other values (16) 98
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23659
89.6%
ASCII 2751
 
10.4%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1452
52.8%
- 253
 
9.2%
) 128
 
4.7%
( 125
 
4.5%
2 86
 
3.1%
1 78
 
2.8%
0 63
 
2.3%
. 36
 
1.3%
4 31
 
1.1%
L 31
 
1.1%
Other values (54) 468
 
17.0%
Hangul
ValueCountFrequency (%)
405
 
1.7%
384
 
1.6%
380
 
1.6%
375
 
1.6%
371
 
1.6%
354
 
1.5%
314
 
1.3%
309
 
1.3%
309
 
1.3%
280
 
1.2%
Other values (615) 20178
85.3%
None
ValueCountFrequency (%)
· 3
100.0%

철거일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
--
3833 
2012-03-22
 
19
2012-01-02
 
4
2012-01-01
 
3
2011-06-10
 
2
Other values (4)
 
5

Length

Max length10
Median length2
Mean length2.0682876
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row--
2nd row--
3rd row--
4th row--
5th row--

Common Values

ValueCountFrequency (%)
-- 3833
99.1%
2012-03-22 19
 
0.5%
2012-01-02 4
 
0.1%
2012-01-01 3
 
0.1%
2011-06-10 2
 
0.1%
2012-11-21 2
 
0.1%
2009-06-24 1
 
< 0.1%
2012-01-03 1
 
< 0.1%
2010-04-12 1
 
< 0.1%

Length

2023-12-12T14:10:12.700589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:12.859108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3833
99.1%
2012-03-22 19
 
0.5%
2012-01-02 4
 
0.1%
2012-01-01 3
 
0.1%
2011-06-10 2
 
0.1%
2012-11-21 2
 
0.1%
2009-06-24 1
 
< 0.1%
2012-01-03 1
 
< 0.1%
2010-04-12 1
 
< 0.1%

철거사유
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3848 
연장허가처리
 
4
지주이용간판 신고대상임
 
2
타당함
 
2
연장처리
 
2
Other values (8)
 
8

Length

Max length31
Median length1
Mean length1.0338852
Min length1

Unique

Unique8 ?
Unique (%)0.2%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3848
99.5%
연장허가처리 4
 
0.1%
지주이용간판 신고대상임 2
 
0.1%
타당함 2
 
0.1%
연장처리 2
 
0.1%
설치 타당함 1
 
< 0.1%
정상 1
 
< 0.1%
허가 처리 1
 
< 0.1%
옥외광고물허가 안전도검사대상 광고물 1
 
< 0.1%
광고물신고사항으로연장신고처리 1
 
< 0.1%
Other values (3) 3
 
0.1%

Length

2023-12-12T14:10:13.055950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3848
99.3%
연장허가처리 4
 
0.1%
타당함 3
 
0.1%
지주이용간판 2
 
0.1%
신고대상임 2
 
0.1%
연장처리 2
 
0.1%
허가 2
 
0.1%
광고물신고사항으로연장신고처리 1
 
< 0.1%
의하여 1
 
< 0.1%
규정에 1
 
< 0.1%
Other values (10) 10
 
0.3%

상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
정상
2736 
-
1130 

Length

Max length2
Median length2
Mean length1.7077082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 2736
70.8%
- 1130
29.2%

Length

2023-12-12T14:10:13.203399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:13.351787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 2736
70.8%
1130
29.2%

철거여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3834 
철거
 
32

Length

Max length2
Median length1
Mean length1.0082773
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3834
99.2%
철거 32
 
0.8%

Length

2023-12-12T14:10:13.476342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:13.609413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3834
99.2%
철거 32
 
0.8%
Distinct1242
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:13.837554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length3.9971547
Min length1

Characters and Unicode

Total characters15453
Distinct characters499
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique875 ?
Unique (%)22.6%

Sample

1st row-
2nd row신안농협 안좌지점
3rd row신안농업협동조합
4th row종합기획
5th row플랜에이
ValueCountFrequency (%)
1209
29.3%
일심광고 103
 
2.5%
일심 84
 
2.0%
광고 84
 
2.0%
압해생태요양병원 81
 
2.0%
광고주 77
 
1.9%
종합기획 63
 
1.5%
주노광고 45
 
1.1%
개인 41
 
1.0%
선명인쇄광고 32
 
0.8%
Other values (1308) 2301
55.8%
2023-12-12T14:10:14.281431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1209
 
7.8%
608
 
3.9%
594
 
3.8%
325
 
2.1%
320
 
2.1%
311
 
2.0%
256
 
1.7%
237
 
1.5%
231
 
1.5%
223
 
1.4%
Other values (489) 11139
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13552
87.7%
Dash Punctuation 1209
 
7.8%
Space Separator 256
 
1.7%
Close Punctuation 161
 
1.0%
Open Punctuation 157
 
1.0%
Uppercase Letter 59
 
0.4%
Decimal Number 34
 
0.2%
Lowercase Letter 18
 
0.1%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
608
 
4.5%
594
 
4.4%
325
 
2.4%
320
 
2.4%
311
 
2.3%
237
 
1.7%
231
 
1.7%
223
 
1.6%
212
 
1.6%
198
 
1.5%
Other values (451) 10293
76.0%
Uppercase Letter
ValueCountFrequency (%)
K 10
16.9%
M 9
15.3%
O 7
11.9%
R 6
10.2%
B 5
8.5%
T 4
 
6.8%
A 4
 
6.8%
P 2
 
3.4%
N 2
 
3.4%
C 2
 
3.4%
Other values (5) 8
13.6%
Decimal Number
ValueCountFrequency (%)
0 9
26.5%
1 8
23.5%
2 7
20.6%
4 4
11.8%
3 2
 
5.9%
5 2
 
5.9%
9 1
 
2.9%
8 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
r 6
33.3%
m 6
33.3%
k 1
 
5.6%
t 1
 
5.6%
e 1
 
5.6%
c 1
 
5.6%
s 1
 
5.6%
j 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
· 3
42.9%
. 2
28.6%
& 2
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 1209
100.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13552
87.7%
Common 1824
 
11.8%
Latin 77
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
608
 
4.5%
594
 
4.4%
325
 
2.4%
320
 
2.4%
311
 
2.3%
237
 
1.7%
231
 
1.7%
223
 
1.6%
212
 
1.6%
198
 
1.5%
Other values (451) 10293
76.0%
Latin
ValueCountFrequency (%)
K 10
13.0%
M 9
11.7%
O 7
 
9.1%
r 6
 
7.8%
R 6
 
7.8%
m 6
 
7.8%
B 5
 
6.5%
T 4
 
5.2%
A 4
 
5.2%
P 2
 
2.6%
Other values (13) 18
23.4%
Common
ValueCountFrequency (%)
- 1209
66.3%
256
 
14.0%
) 161
 
8.8%
( 157
 
8.6%
0 9
 
0.5%
1 8
 
0.4%
2 7
 
0.4%
4 4
 
0.2%
· 3
 
0.2%
3 2
 
0.1%
Other values (5) 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13551
87.7%
ASCII 1898
 
12.3%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1209
63.7%
256
 
13.5%
) 161
 
8.5%
( 157
 
8.3%
K 10
 
0.5%
M 9
 
0.5%
0 9
 
0.5%
1 8
 
0.4%
O 7
 
0.4%
2 7
 
0.4%
Other values (27) 65
 
3.4%
Hangul
ValueCountFrequency (%)
608
 
4.5%
594
 
4.4%
325
 
2.4%
320
 
2.4%
311
 
2.3%
237
 
1.7%
231
 
1.7%
223
 
1.6%
212
 
1.6%
198
 
1.5%
Other values (450) 10292
76.0%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

간판인접도로여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3866 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3866
100.0%

Length

2023-12-12T14:10:14.459526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:14.571675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3866
100.0%

간판인접도로여부상세
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
-
3866 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 3866
100.0%

Length

2023-12-12T14:10:14.667774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:14.779098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3866
100.0%

안전도검사여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
False
3820 
True
 
46
ValueCountFrequency (%)
False 3820
98.8%
True 46
 
1.2%
2023-12-12T14:10:14.885792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct59
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-12T14:10:15.080558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length1
Mean length1.3471288
Min length1

Characters and Unicode

Total characters5208
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)1.4%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
3832
98.4%
2014-822 3
 
0.1%
2006-5010169-12-1-00002 2
 
0.1%
2007-5010169-12-1-00003 1
 
< 0.1%
2011-5010215-20-1-00002 1
 
< 0.1%
2007-5010169-12-1-00005 1
 
< 0.1%
2012-5010215-20-1-00002 1
 
< 0.1%
2014-821 1
 
< 0.1%
2014-769 1
 
< 0.1%
2014-810 1
 
< 0.1%
Other values (49) 49
 
1.3%
2023-12-12T14:10:15.443768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4049
77.7%
0 445
 
8.5%
1 209
 
4.0%
2 182
 
3.5%
108
 
2.1%
5 87
 
1.7%
9 31
 
0.6%
6 28
 
0.5%
4 26
 
0.5%
8 19
 
0.4%
Other values (2) 24
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 4049
77.7%
Decimal Number 1051
 
20.2%
Space Separator 108
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 445
42.3%
1 209
19.9%
2 182
17.3%
5 87
 
8.3%
9 31
 
2.9%
6 28
 
2.7%
4 26
 
2.5%
8 19
 
1.8%
7 16
 
1.5%
3 8
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 4049
100.0%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5208
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4049
77.7%
0 445
 
8.5%
1 209
 
4.0%
2 182
 
3.5%
108
 
2.1%
5 87
 
1.7%
9 31
 
0.6%
6 28
 
0.5%
4 26
 
0.5%
8 19
 
0.4%
Other values (2) 24
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4049
77.7%
0 445
 
8.5%
1 209
 
4.0%
2 182
 
3.5%
108
 
2.1%
5 87
 
1.7%
9 31
 
0.6%
6 28
 
0.5%
4 26
 
0.5%
8 19
 
0.4%
Other values (2) 24
 
0.5%

안전도검사수수료
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
0
3857 
14000
 
5
20000
 
2
24000
 
1
12000
 
1

Length

Max length5
Median length1
Mean length1.009312
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3857
99.8%
14000 5
 
0.1%
20000 2
 
0.1%
24000 1
 
< 0.1%
12000 1
 
< 0.1%

Length

2023-12-12T14:10:15.613607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:10:15.782712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3857
99.8%
14000 5
 
0.1%
20000 2
 
0.1%
24000 1
 
< 0.1%
12000 1
 
< 0.1%

Sample

순번구분인허가번호실명제관리번호허가신고일연장신고일광고물종류업소명표시시작일자표시종료일자규격광고물규격기타내용수량조명수수료표시층표시장소표시장소도로명표시행정동표시법정동표시장소우편번호표시내용철거일자철거사유상태코드철거여부시공업소명간판인접도로여부간판인접도로여부상세안전도검사여부안전도검사필증번호안전도검사수수료
01신고2020-5010049-09-2-00007-2020-08-20--지정게시대이용현수막태화광고기획2020-08-202020-09-036*0.76*0.7-1-0-전라남도 신안군 증도면 증동리전라남도 신안군 증도면 문준경길 188 증도면사무소증도면증도면58807전남생명과학고등학교---정상----N-0
12신고2020-5010058-09-2-00033-2020-08-21--지정게시대이용현수막신안농협 안좌지점2020-08-212020-09-046*0.76*0.7-1-0-전라남도 신안군 안좌면 읍동리전라남도 신안군 안좌면 김환기길 1-2안좌면안좌면58839신안농협 안좌지점---정상-신안농협 안좌지점--N-0
23신고2020-5010060-09-2-00022-2020-08-20--지정게시대이용현수막신안농업협동조합2020-08-202020-09-035.9*0.75.9*0.7-1-3000-전라남도 신안군 암태면 단고리전라남도 신안군 암태면 장단고길 7-52 1층암태면암태면58836신안농업협동조합---정상-신안농업협동조합--N-0
34신고2020-5010216-09-2-00144-2020-08-19--현수막게시틀종합기획2020-08-192020-09-026000*9006000*900-1-3000-전라남도 신안군 압해읍 학교리 585번지 1호 압해읍사무소전라남도 신안군 압해읍 압해로 882 압해읍사무소압해읍압해읍58824종합기획---정상-종합기획--N-0
45허가2020-5010245-09-1-00007-2020-08-18--지주이용 간판압해농협하나로마트2020-08-182023-08-171.2*2.3 높이:4.51.2*2.3 높이:4.5-1-12000-전라남도 신안군 압해읍 학교리 612번지전라남도 신안군 압해읍 압해로 836<NA>압해읍58824압해농협하나로마트---정상-플랜에이--N-0
56신고2020-5010058-09-2-00032-2020-08-18--공공시설물이용 광고물압해생태요양병원2020-08-182023-08-176*0.76*0.7-1-0-전라남도 신안군 안좌면 읍동리전라남도 신안군 안좌면 김환기길 1-2안좌면안좌면58839압해생태요양병원---정상----N-0
67신고2020-5010216-09-2-00143-2020-08-18--현수막게시틀씨푸드타운2020-08-182020-09-016000*900 6000*900 5750*7006000*900 6000*900 5750*700-3-9000-전라남도 신안군 압해읍 학교리 585번지 1호 압해읍사무소전라남도 신안군 압해읍 압해로 882 압해읍사무소압해읍압해읍58824씨푸드타운---정상-씨푸드타운--N-0
78신고2020-5010216-09-2-00142-2020-08-14--현수막게시틀주노광고2020-08-142020-08-285750*7005750*700-1-3000-전라남도 신안군 압해읍 학교리 585번지 1호 압해읍사무소전라남도 신안군 압해읍 압해로 882 압해읍사무소압해읍압해읍58824주노광고---정상-주노광고--N-0
89신고2020-5010216-09-2-00141-2020-08-14--현수막게시틀주노광고2020-08-142020-08-285750*7005750*700-1-3000-전라남도 신안군 압해읍 학교리 585번지 1호 압해읍사무소전라남도 신안군 압해읍 압해로 882 압해읍사무소압해읍압해읍58824주노광고---정상-주노광고--N-0
910신고2020-5010216-09-2-00140-2020-08-13--현수막게시틀마커스2020-08-132020-08-276000*900 6000*9006000*900 6000*900-2-6000-전라남도 신안군 압해읍 학교리 585번지 1호 압해읍사무소전라남도 신안군 압해읍 압해로 882 압해읍사무소압해읍압해읍58824마커스---정상-마커스--N-0
순번구분인허가번호실명제관리번호허가신고일연장신고일광고물종류업소명표시시작일자표시종료일자규격광고물규격기타내용수량조명수수료표시층표시장소표시장소도로명표시행정동표시법정동표시장소우편번호표시내용철거일자철거사유상태코드철거여부시공업소명간판인접도로여부간판인접도로여부상세안전도검사여부안전도검사필증번호안전도검사수수료
38563857신고2000-5010048-09-2-00105-2000-04-03--벽면이용간판(가로형)-1999-04-212001-03-211000*60001000*6000-1-0-전라남도 신안군 지도읍 읍내리 168-322번지-지도읍지도읍535-802신안철물--------N-0
38573858신고2000-5010048-09-2-00106-2000-04-03--벽면이용간판(가로형)-1999-04-212001-03-21400*3000400*3000-1-0-전라남도 신안군 지도읍 읍내리 168-323번지-지도읍지도읍535-802화신철물--------N-0
38583859신고2000-5010048-09-2-00107-2000-04-03--벽면이용간판(가로형)-1999-04-212001-03-21600*4000600*4000-1-0-전라남도 신안군 지도읍 읍내리 168-331번지-지도읍지도읍535-802지도방앗간 장의사--------N-0
38593860신고2000-5010048-09-2-00108-2000-04-03--벽면이용간판(가로형)-1999-04-212001-03-21900*3500900*3500-1-0-전라남도 신안군 지도읍 읍내리 168-331번지-지도읍지도읍535-802방앗간수퍼--------N-0
38603861신고2000-5010048-09-2-00109-2000-04-03--벽면이용간판(가로형)-1999-04-212001-03-21900*3500900*3500-1-0-전라남도 신안군 지도읍 읍내리 168-331번지-지도읍지도읍535-802방앗간수퍼--------N-0
38613862신고2000-5010048-09-2-00110-2000-04-03--벽면이용간판(가로형)-1999-04-212001-03-21900*3000900*3000-1-0-전라남도 신안군 지도읍 읍내리 353-7번지-지도읍지도읍535-802정기화물사거리식육점--------N-0
38623863신고2000-5010048-09-2-00111-2000-04-03--벽면이용간판(가로형)-1999-04-212001-03-21600*1800600*1800-1-0-전라남도 신안군 지도읍 읍내리 349-1번지-지도읍지도읍535-802천일다방--------N-0
38633864허가2000-5010048-09-1-00013-2000-04-01--돌출간판-1999-04-122001-03-12700*2800700*2800-1-0-전라남도 신안군 지도읍 읍내리 168-2번지-지도읍지도읍535-802대성당구장--------N-0
38643865허가2000-5010048-09-1-00001-2000-03-31--지정게시대이용현수막-2000-01-152000-01-2577-1-0-전라남도 신안군 지도읍 읍내리 168번지전라남도 신안군 지도읍 읍내길 63지도읍지도읍535-802하나로 마트 개설--------N-0
38653866허가2000-5010048-09-1-00002-2000-03-30--지정게시대이용현수막-2000-01-222000-02-05580*9000580*9000-1-0-전라남도 신안군 지도읍 읍내리 275번지-지도읍지도읍535-802원적외선 찜질방(황토방 목방 불가연)--------N-0