Overview

Dataset statistics

Number of variables9
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory77.4 B

Variable types

Numeric1
Text2
Categorical5
DateTime1

Dataset

Description경상북도 영덕군 현수막지정게시대에 대한 데이터로 위치, 지번주소, 게시가능 수, 관리관명, 관리기관 연락처, 게시대 형태 항목을 제공하고자 합니다.
Author경상북도 영덕군
URLhttps://www.data.go.kr/data/15105563/fileData.do

Alerts

열 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관연락처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:50:50.380808
Analysis finished2023-12-11 23:50:51.224279
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T08:50:51.309872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-12T08:50:51.457505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

위치
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T08:50:51.697353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.2962963
Min length4

Characters and Unicode

Total characters502
Distinct characters129
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row읍사무소앞
2nd row영덕읍교회(사거리)
3rd row삼미장모텔 앞
4th row군민운동장(테니스장)-1
5th row군민운동장(테니스장)-2
ValueCountFrequency (%)
앞 6
 
6.4%
옆 4
 
4.3%
맞은편 3
 
3.2%
승강장 3
 
3.2%
고래불해수욕장 2
 
2.1%
좌 2
 
2.1%
면사무소옆(705-1번지 2
 
2.1%
2
 
2.1%
축산 2
 
2.1%
삼거리 2
 
2.1%
Other values (63) 66
70.2%
2023-12-12T08:50:52.060827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
8.2%
장 20
 
4.0%
) 16
 
3.2%
( 16
 
3.2%
앞 15
 
3.0%
사 14
 
2.8%
리 13
 
2.6%
구 12
 
2.4%
소 11
 
2.2%
교 11
 
2.2%
Other values (119) 333
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
78.3%
Space Separator 41
 
8.2%
Decimal Number 23
 
4.6%
Close Punctuation 16
 
3.2%
Open Punctuation 16
 
3.2%
Dash Punctuation 9
 
1.8%
Uppercase Letter 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 20
 
5.1%
앞 15
 
3.8%
사 14
 
3.6%
리 13
 
3.3%
구 12
 
3.1%
소 11
 
2.8%
교 11
 
2.8%
옆 10
 
2.5%
해 9
 
2.3%
영 9
 
2.3%
Other values (105) 269
68.4%
Decimal Number
ValueCountFrequency (%)
1 7
30.4%
7 4
17.4%
5 3
13.0%
0 2
 
8.7%
4 2
 
8.7%
2 2
 
8.7%
8 2
 
8.7%
9 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
78.3%
Common 105
 
20.9%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 20
 
5.1%
앞 15
 
3.8%
사 14
 
3.6%
리 13
 
3.3%
구 12
 
3.1%
소 11
 
2.8%
교 11
 
2.8%
옆 10
 
2.5%
해 9
 
2.3%
영 9
 
2.3%
Other values (105) 269
68.4%
Common
ValueCountFrequency (%)
41
39.0%
) 16
 
15.2%
( 16
 
15.2%
- 9
 
8.6%
1 7
 
6.7%
7 4
 
3.8%
5 3
 
2.9%
0 2
 
1.9%
4 2
 
1.9%
2 2
 
1.9%
Other values (2) 3
 
2.9%
Latin
ValueCountFrequency (%)
I 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
78.3%
ASCII 109
 
21.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
37.6%
) 16
 
14.7%
( 16
 
14.7%
- 9
 
8.3%
1 7
 
6.4%
7 4
 
3.7%
5 3
 
2.8%
0 2
 
1.8%
4 2
 
1.8%
I 2
 
1.8%
Other values (4) 7
 
6.4%
Hangul
ValueCountFrequency (%)
장 20
 
5.1%
앞 15
 
3.8%
사 14
 
3.6%
리 13
 
3.3%
구 12
 
3.1%
소 11
 
2.8%
교 11
 
2.8%
옆 10
 
2.5%
해 9
 
2.3%
영 9
 
2.3%
Other values (105) 269
68.4%

소재지지번주소
Text

Distinct45
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T08:50:52.316075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.851852
Min length20

Characters and Unicode

Total characters1180
Distinct characters59
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

Unique36 ?
Unique (%)66.7%

Sample

1st row경상북도 영덕군 영덕읍 우곡리 314-2
2nd row경상북도 영덕군 영덕읍 우곡리 351
3rd row경상북도 영덕군 영덕읍 덕곡리 249-6
4th row경상북도 영덕군 영덕읍 화개리 238-4
5th row경상북도 영덕군 영덕읍 화개리 238-4
ValueCountFrequency (%)
경상북도 54
19.8%
영덕군 54
19.8%
영덕읍 17
 
6.2%
강구면 7
 
2.6%
영해면 6
 
2.2%
우곡리 6
 
2.2%
덕곡리 6
 
2.2%
성내리 6
 
2.2%
축산면 6
 
2.2%
병곡면 6
 
2.2%
Other values (70) 105
38.5%
2023-12-12T08:50:52.732828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
18.6%
영 77
 
6.5%
덕 77
 
6.5%
도 56
 
4.7%
경 55
 
4.7%
군 54
 
4.6%
상 54
 
4.6%
리 54
 
4.6%
북 54
 
4.6%
- 48
 
4.1%
Other values (49) 432
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 705
59.7%
Space Separator 219
 
18.6%
Decimal Number 208
 
17.6%
Dash Punctuation 48
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 77
10.9%
덕 77
10.9%
도 56
 
7.9%
경 55
 
7.8%
군 54
 
7.7%
상 54
 
7.7%
리 54
 
7.7%
북 54
 
7.7%
면 37
 
5.2%
곡 25
 
3.5%
Other values (37) 162
23.0%
Decimal Number
ValueCountFrequency (%)
1 42
20.2%
4 28
13.5%
2 24
11.5%
3 21
10.1%
6 19
9.1%
8 19
9.1%
5 18
8.7%
0 14
 
6.7%
7 13
 
6.2%
9 10
 
4.8%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 705
59.7%
Common 475
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 77
10.9%
덕 77
10.9%
도 56
 
7.9%
경 55
 
7.8%
군 54
 
7.7%
상 54
 
7.7%
리 54
 
7.7%
북 54
 
7.7%
면 37
 
5.2%
곡 25
 
3.5%
Other values (37) 162
23.0%
Common
ValueCountFrequency (%)
219
46.1%
- 48
 
10.1%
1 42
 
8.8%
4 28
 
5.9%
2 24
 
5.1%
3 21
 
4.4%
6 19
 
4.0%
8 19
 
4.0%
5 18
 
3.8%
0 14
 
2.9%
Other values (2) 23
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 705
59.7%
ASCII 475
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
46.1%
- 48
 
10.1%
1 42
 
8.8%
4 28
 
5.9%
2 24
 
5.1%
3 21
 
4.4%
6 19
 
4.0%
8 19
 
4.0%
5 18
 
3.8%
0 14
 
2.9%
Other values (2) 23
 
4.8%
Hangul
ValueCountFrequency (%)
영 77
10.9%
덕 77
10.9%
도 56
 
7.9%
경 55
 
7.8%
군 54
 
7.7%
상 54
 
7.7%
리 54
 
7.7%
북 54
 
7.7%
면 37
 
5.2%
곡 25
 
3.5%
Other values (37) 162
23.0%

열
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
54 

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 54
100.0%

Length

2023-12-12T08:50:52.897095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:53.000975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
100.0%

면
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
6
40 
5
8 
4
5 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row6
2nd row6
3rd row6
4th row5
5th row6

Common Values

ValueCountFrequency (%)
6 40
74.1%
5 8
 
14.8%
4 5
 
9.3%
3 1
 
1.9%

Length

2023-12-12T08:50:53.125609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:53.238680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 40
74.1%
5 8
 
14.8%
4 5
 
9.3%
3 1
 
1.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
경상북도 영덕군청
54 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 영덕군청
2nd row경상북도 영덕군청
3rd row경상북도 영덕군청
4th row경상북도 영덕군청
5th row경상북도 영덕군청

Common Values

ValueCountFrequency (%)
경상북도 영덕군청 54
100.0%

Length

2023-12-12T08:50:53.366302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:53.495411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 54
50.0%
영덕군청 54
50.0%

관리기관연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
054-730-6352
54 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-730-6352
2nd row054-730-6352
3rd row054-730-6352
4th row054-730-6352
5th row054-730-6352

Common Values

ValueCountFrequency (%)
054-730-6352 54
100.0%

Length

2023-12-12T08:50:53.601734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:53.745387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-730-6352 54
100.0%

게시대형태
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
반자동
25 
자동
17 
탱탱
11 
반자동(양면)
 
1

Length

Max length7
Median length2
Mean length2.5555556
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row탱탱
2nd row탱탱
3rd row탱탱
4th row탱탱
5th row반자동

Common Values

ValueCountFrequency (%)
반자동 25
46.3%
자동 17
31.5%
탱탱 11
20.4%
반자동(양면) 1
 
1.9%

Length

2023-12-12T08:50:53.879037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:54.012382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반자동 25
46.3%
자동 17
31.5%
탱탱 11
20.4%
반자동(양면 1
 
1.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2022-08-26 00:00:00
Maximum2022-08-26 00:00:00
2023-12-12T08:50:54.121193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:54.255794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:50:50.666308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:50:54.356500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위치소재지지번주소면게시대형태
연번1.0000.9350.9740.0000.657
위치0.9351.0001.0001.0001.000
소재지지번주소0.9741.0001.0000.9880.963
면0.0001.0000.9881.0000.374
게시대형태0.6571.0000.9630.3741.000
2023-12-12T08:50:54.488085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시대형태면
게시대형태1.0000.149
면0.1491.000
2023-12-12T08:50:54.609011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면게시대형태
연번1.0000.0000.427
면0.0001.0000.149
게시대형태0.4270.1491.000

Missing values

2023-12-12T08:50:51.034251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:50:51.165670image/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

연번위치소재지지번주소열면관리기관명관리기관연락처게시대형태데이터기준일자
01읍사무소앞경상북도 영덕군 영덕읍 우곡리 314-216경상북도 영덕군청054-730-6352탱탱2022-08-26
12영덕읍교회(사거리)경상북도 영덕군 영덕읍 우곡리 35116경상북도 영덕군청054-730-6352탱탱2022-08-26
23삼미장모텔 앞경상북도 영덕군 영덕읍 덕곡리 249-616경상북도 영덕군청054-730-6352탱탱2022-08-26
34군민운동장(테니스장)-1경상북도 영덕군 영덕읍 화개리 238-415경상북도 영덕군청054-730-6352탱탱2022-08-26
45군민운동장(테니스장)-2경상북도 영덕군 영덕읍 화개리 238-416경상북도 영덕군청054-730-6352반자동2022-08-26
56영덕택시옆 - 앞경상북도 영덕군 영덕읍 덕곡리 247-614경상북도 영덕군청054-730-6352탱탱2022-08-26
67회전교차로경상북도 영덕군 영덕읍 덕곡리 245-816경상북도 영덕군청054-730-6352자동2022-08-26
78천전대교 옆경상북도 영덕군 영덕읍 남석리 205-114경상북도 영덕군청054-730-6352자동2022-08-26
89마이웨딩 사거리경상북도 영덕군 영덕읍 우곡리 356-1716경상북도 영덕군청054-730-6352자동2022-08-26
910영덕시장 동편 승강장 좌경상북도 영덕군 영덕읍 우곡리 342-2216경상북도 영덕군청054-730-6352자동2022-08-26
연번위치소재지지번주소열면관리기관명관리기관연락처게시대형태데이터기준일자
4445예주라이온스앞 사거리(우)경상북도 영덕군 영해면 성내리 821-216경상북도 영덕군청054-730-6352자동2022-08-26
4546영해대성사거리회전교차로경상북도 영덕군 영해면 성내리 488-716경상북도 영덕군청054-730-6352자동2022-08-26
4647병곡중학교입구(구 승강장)경상북도 영덕군 병곡면 병곡리 98-116경상북도 영덕군청054-730-6352반자동2022-08-26
4748고래불해수욕장경상북도 영덕군 병곡면 병곡리 58-1116경상북도 영덕군청054-730-6352반자동2022-08-26
4849고래불해수욕장경상북도 영덕군 병곡면 병곡리 58-1116경상북도 영덕군청054-730-6352반자동2022-08-26
4950북영덕농협종합미곡처리장 맞은편경상북도 영덕군 병곡면 원황리 44116경상북도 영덕군청054-730-6352자동2022-08-26
5051송천교앞경상북도 영덕군 병곡면 송천리 409-916경상북도 영덕군청054-730-6352자동2022-08-26
5152병곡 교차로경상북도 영덕군 병곡면 병곡리 337-216경상북도 영덕군청054-730-6352반자동2022-08-26
5253면사무소건너편경상북도 영덕군 창수면 신기리 산 36-615경상북도 영덕군청054-730-6352반자동2022-08-26
5354현대식당 맞은편경상북도 영덕군 창수면 신기리 산 36-615경상북도 영덕군청054-730-6352반자동2022-08-26