Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory60.6 B

Variable types

Numeric1
Text2
Categorical4

Dataset

Description경상남도 의령군 옥외광고현수막을 게시할 수 있는 게시대명과 위치, 게시대 형태, 규격 , 게시면 정보를 나타내는 데이터 입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15031905

Alerts

규격 has constant value ""Constant
게시면 has constant value ""Constant
데이터기준일 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:45:17.829866
Analysis finished2023-12-11 00:45:18.346412
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T09:45:18.414147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-11T09:45:18.539982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

게시대명
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T09:45:18.733758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length17.784314
Min length14

Characters and Unicode

Total characters907
Distinct characters120
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)94.1%

Sample

1st row현수막 지정게시대(농산물종합유통센터 앞)
2nd row현수막 지정게시대(무전삼거리)
3rd row현수막 지정게시대(의병사거리1)
4th row현수막 지정게시대(의병사거리2)
5th row현수막 지정게시대(시외버스터미널 1)
ValueCountFrequency (%)
현수막 51
37.2%
앞 10
 
7.3%
입구 7
 
5.1%
지정게시대(면사무소 4
 
2.9%
옆 4
 
2.9%
1 2
 
1.5%
지정게시대(국민체육센터 2
 
1.5%
2 2
 
1.5%
지정게시대(의령농협 2
 
1.5%
지정게시대(시외버스터미널 2
 
1.5%
Other values (50) 51
37.2%
2023-12-11T09:45:19.038796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
9.5%
지 59
 
6.5%
정 55
 
6.1%
시 54
 
6.0%
현 52
 
5.7%
수 52
 
5.7%
( 51
 
5.6%
) 51
 
5.6%
대 51
 
5.6%
게 51
 
5.6%
Other values (110) 345
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
78.2%
Space Separator 86
 
9.5%
Open Punctuation 51
 
5.6%
Close Punctuation 51
 
5.6%
Decimal Number 10
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 59
 
8.3%
정 55
 
7.8%
시 54
 
7.6%
현 52
 
7.3%
수 52
 
7.3%
대 51
 
7.2%
게 51
 
7.2%
막 51
 
7.2%
앞 11
 
1.6%
거 10
 
1.4%
Other values (105) 263
37.1%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
1 5
50.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
78.2%
Common 198
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 59
 
8.3%
정 55
 
7.8%
시 54
 
7.6%
현 52
 
7.3%
수 52
 
7.3%
대 51
 
7.2%
게 51
 
7.2%
막 51
 
7.2%
앞 11
 
1.6%
거 10
 
1.4%
Other values (105) 263
37.1%
Common
ValueCountFrequency (%)
86
43.4%
( 51
25.8%
) 51
25.8%
2 5
 
2.5%
1 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
78.2%
ASCII 198
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
43.4%
( 51
25.8%
) 51
25.8%
2 5
 
2.5%
1 5
 
2.5%
Hangul
ValueCountFrequency (%)
지 59
 
8.3%
정 55
 
7.8%
시 54
 
7.6%
현 52
 
7.3%
수 52
 
7.3%
대 51
 
7.2%
게 51
 
7.2%
막 51
 
7.2%
앞 11
 
1.6%
거 10
 
1.4%
Other values (105) 263
37.1%

위치(지번)
Text

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T09:45:19.259234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length16.784314
Min length14

Characters and Unicode

Total characters856
Distinct characters68
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

Unique43 ?
Unique (%)84.3%

Sample

1st row의령군 의령읍 무전리 176-5
2nd row의령군 의령읍 무전리 228-3
3rd row의령군 의령읍 동동리 877-7
4th row의령군 의령읍 동동리 877-7
5th row의령군 의령읍 서동리 792-2
ValueCountFrequency (%)
의령군 51
25.0%
의령읍 12
 
5.9%
부림면 6
 
2.9%
서동리 6
 
2.9%
정곡면 5
 
2.5%
동동리 4
 
2.0%
유곡면 4
 
2.0%
궁류면 4
 
2.0%
대의면 3
 
1.5%
낙서면 3
 
1.5%
Other values (83) 106
52.0%
2023-12-11T09:45:19.608069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
17.9%
의 67
 
7.8%
령 63
 
7.4%
군 51
 
6.0%
리 50
 
5.8%
- 43
 
5.0%
면 39
 
4.6%
2 31
 
3.6%
1 29
 
3.4%
3 26
 
3.0%
Other values (58) 304
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
54.1%
Decimal Number 197
23.0%
Space Separator 153
 
17.9%
Dash Punctuation 43
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 67
14.5%
령 63
13.6%
군 51
 
11.0%
리 50
 
10.8%
면 39
 
8.4%
곡 17
 
3.7%
동 15
 
3.2%
읍 12
 
2.6%
정 11
 
2.4%
서 10
 
2.2%
Other values (46) 128
27.6%
Decimal Number
ValueCountFrequency (%)
2 31
15.7%
1 29
14.7%
3 26
13.2%
4 24
12.2%
9 20
10.2%
7 19
9.6%
5 15
7.6%
0 14
7.1%
6 11
 
5.6%
8 8
 
4.1%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 463
54.1%
Common 393
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 67
14.5%
령 63
13.6%
군 51
 
11.0%
리 50
 
10.8%
면 39
 
8.4%
곡 17
 
3.7%
동 15
 
3.2%
읍 12
 
2.6%
정 11
 
2.4%
서 10
 
2.2%
Other values (46) 128
27.6%
Common
ValueCountFrequency (%)
153
38.9%
- 43
 
10.9%
2 31
 
7.9%
1 29
 
7.4%
3 26
 
6.6%
4 24
 
6.1%
9 20
 
5.1%
7 19
 
4.8%
5 15
 
3.8%
0 14
 
3.6%
Other values (2) 19
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
54.1%
ASCII 393
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
38.9%
- 43
 
10.9%
2 31
 
7.9%
1 29
 
7.4%
3 26
 
6.6%
4 24
 
6.1%
9 20
 
5.1%
7 19
 
4.8%
5 15
 
3.8%
0 14
 
3.6%
Other values (2) 19
 
4.8%
Hangul
ValueCountFrequency (%)
의 67
14.5%
령 63
13.6%
군 51
 
11.0%
리 50
 
10.8%
면 39
 
8.4%
곡 17
 
3.7%
동 15
 
3.2%
읍 12
 
2.6%
정 11
 
2.4%
서 10
 
2.2%
Other values (46) 128
27.6%

게시대 형태
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
탱탱걸이형
24 
반자동
16 
전반자동
11 

Length

Max length5
Median length4
Mean length4.1568627
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row탱탱걸이형
2nd row전반자동
3rd row탱탱걸이형
4th row탱탱걸이형
5th row탱탱걸이형

Common Values

ValueCountFrequency (%)
탱탱걸이형 24
47.1%
반자동 16
31.4%
전반자동 11
21.6%

Length

2023-12-11T09:45:19.724066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:19.808057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
탱탱걸이형 24
47.1%
반자동 16
31.4%
전반자동 11
21.6%

규격
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
6m×0.9m
51 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6m×0.9m
2nd row6m×0.9m
3rd row6m×0.9m
4th row6m×0.9m
5th row6m×0.9m

Common Values

ValueCountFrequency (%)
6m×0.9m 51
100.0%

Length

2023-12-11T09:45:19.905055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:19.996452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6m×0.9m 51
100.0%

게시면
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
5
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 51
100.0%

Length

2023-12-11T09:45:20.071194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:20.138705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 51
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2018-09-12
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-09-12
2nd row2018-09-12
3rd row2018-09-12
4th row2018-09-12
5th row2018-09-12

Common Values

ValueCountFrequency (%)
2018-09-12 51
100.0%

Length

2023-12-11T09:45:20.207399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:20.274677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-09-12 51
100.0%

Interactions

2023-12-11T09:45:18.107480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:45:20.317640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게시대명위치(지번)게시대 형태
번호1.0000.8540.9850.563
게시대명0.8541.0000.9660.000
위치(지번)0.9850.9661.0001.000
게시대 형태0.5630.0001.0001.000
2023-12-11T09:45:20.383911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게시대 형태
번호1.0000.238
게시대 형태0.2381.000

Missing values

2023-12-11T09:45:18.209131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:45:18.307775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호게시대명위치(지번)게시대 형태규격게시면데이터기준일
01현수막 지정게시대(농산물종합유통센터 앞)의령군 의령읍 무전리 176-5탱탱걸이형6m×0.9m52018-09-12
12현수막 지정게시대(무전삼거리)의령군 의령읍 무전리 228-3전반자동6m×0.9m52018-09-12
23현수막 지정게시대(의병사거리1)의령군 의령읍 동동리 877-7탱탱걸이형6m×0.9m52018-09-12
34현수막 지정게시대(의병사거리2)의령군 의령읍 동동리 877-7탱탱걸이형6m×0.9m52018-09-12
45현수막 지정게시대(시외버스터미널 1)의령군 의령읍 서동리 792-2탱탱걸이형6m×0.9m52018-09-12
56현수막 지정게시대(시외버스터미널 2)의령군 의령읍 서동리 792-2탱탱걸이형6m×0.9m52018-09-12
67현수막 지정게시대(남천교 옆)의령군 의령읍 서동리 644-2탱탱걸이형6m×0.9m52018-09-12
78현수막 지정게시대(국민체육센터 입구 1)의령군 의령읍 서동리 994-11전반자동6m×0.9m52018-09-12
89현수막 지정게시대(국민체육센터 입구 2)의령군 의령읍 서동리 606전반자동6m×0.9m52018-09-12
910현수막 지정게시대(의령카센터뒤)의령군 의령읍 서동리 521-1탱탱걸이형6m×0.9m52018-09-12
번호게시대명위치(지번)게시대 형태규격게시면데이터기준일
4142현수막 지정게시대(봉수 농공단지 입구)의령군 봉수면 삼가리 21반자동6m×0.9m52018-09-12
4243현수막 지정게시대(전통한지전시관)의령군 봉수면 서암리 403-2전반자동6m×0.9m52018-09-12
4344현수막 지정게시대(면사무소 앞)의령군 궁류면 토곡리 492-7탱탱걸이형6m×0.9m52018-09-12
4445현수막 지정게시대(운계삼거리)의령군 궁류면 운계리 94-5탱탱걸이형6m×0.9m52018-09-12
4546현수막 지정게시대(벽계야영장)의령군 궁류면 벽계리 산61-7전반자동6m×0.9m52018-09-12
4647현수막 지정게시대(운계공원 앞)의령군 궁류면 압곡리 845-5전반자동6m×0.9m52018-09-12
4748현수막 지정게시대(신촌마을 입구)의령군 유곡면 신촌리 203-9탱탱걸이형6m×0.9m52018-09-12
4849현수막 지정게시대(야산삼거리)의령군 유곡면 세간리 399-4탱탱걸이형6m×0.9m52018-09-12
4950현수막 지정게시대(보건지소 앞)의령군 유곡면 칠곡리 893-5반자동6m×0.9m52018-09-12
5051현수막 지정게시대(캠핑장)의령군 유곡면 당동리 404-1반자동6m×0.9m52018-09-12