Overview

Dataset statistics

Number of variables5
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory45.7 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description횡성군 관광농원 지정현황을 나타내는 데이터로 관광농원 상호명, 대표자, 관광농원주소 , 공개기준일의 데이터를 제공하고 있습니다.
Author강원도 횡성군
URLhttps://www.data.go.kr/data/15039338/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
농원명 has unique valuesUnique
대표자명 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2024-04-21 00:34:22.458734
Analysis finished2024-04-21 00:34:23.713300
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-21T09:34:23.902671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2024-04-21T09:34:24.296195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

농원명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T09:34:25.092136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.1481481
Min length2

Characters and Unicode

Total characters112
Distinct characters77
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row청일
2nd row황토자리
3rd row별무리
4th rowPAGE102
5th row올챙이
ValueCountFrequency (%)
청일 1
 
3.2%
힐링스토리 1
 
3.2%
낚시 1
 
3.2%
섬바위골 1
 
3.2%
자연과힐링 1
 
3.2%
귀촌 1
 
3.2%
나우 1
 
3.2%
둥이네 1
 
3.2%
화수목 1
 
3.2%
달빛 1
 
3.2%
Other values (21) 21
67.7%
2024-04-21T09:34:26.012615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 7
 
6.2%
산 4
 
3.6%
4
 
3.6%
의 3
 
2.7%
토 3
 
2.7%
우 3
 
2.7%
아 3
 
2.7%
촌 2
 
1.8%
연 2
 
1.8%
인 2
 
1.8%
Other values (67) 79
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101
90.2%
Space Separator 4
 
3.6%
Uppercase Letter 4
 
3.6%
Decimal Number 3
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 7
 
6.9%
산 4
 
4.0%
의 3
 
3.0%
토 3
 
3.0%
우 3
 
3.0%
아 3
 
3.0%
촌 2
 
2.0%
연 2
 
2.0%
인 2
 
2.0%
도 2
 
2.0%
Other values (59) 70
69.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
A 1
25.0%
G 1
25.0%
E 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
0 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101
90.2%
Common 7
 
6.2%
Latin 4
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 7
 
6.9%
산 4
 
4.0%
의 3
 
3.0%
토 3
 
3.0%
우 3
 
3.0%
아 3
 
3.0%
촌 2
 
2.0%
연 2
 
2.0%
인 2
 
2.0%
도 2
 
2.0%
Other values (59) 70
69.3%
Common
ValueCountFrequency (%)
4
57.1%
1 1
 
14.3%
0 1
 
14.3%
2 1
 
14.3%
Latin
ValueCountFrequency (%)
P 1
25.0%
A 1
25.0%
G 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101
90.2%
ASCII 11
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 7
 
6.9%
산 4
 
4.0%
의 3
 
3.0%
토 3
 
3.0%
우 3
 
3.0%
아 3
 
3.0%
촌 2
 
2.0%
연 2
 
2.0%
인 2
 
2.0%
도 2
 
2.0%
Other values (59) 70
69.3%
ASCII
ValueCountFrequency (%)
4
36.4%
P 1
 
9.1%
A 1
 
9.1%
G 1
 
9.1%
E 1
 
9.1%
1 1
 
9.1%
0 1
 
9.1%
2 1
 
9.1%

대표자명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T09:34:26.592688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length4
Min length3

Characters and Unicode

Total characters108
Distinct characters65
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row정천근
2nd row장성규
3rd row배순호
4th row이종선
5th row신혁철
ValueCountFrequency (%)
농업회사법인 3
 
10.0%
정천근 1
 
3.3%
변영택 1
 
3.3%
이숙향 1
 
3.3%
정호택 1
 
3.3%
정종화 1
 
3.3%
한문희 1
 
3.3%
전제구 1
 
3.3%
허양순 1
 
3.3%
엄계월 1
 
3.3%
Other values (18) 18
60.0%
2024-04-21T09:34:27.386843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
4.6%
순 4
 
3.7%
농 4
 
3.7%
희 4
 
3.7%
정 3
 
2.8%
㈜ 3
 
2.8%
3
 
2.8%
인 3
 
2.8%
법 3
 
2.8%
사 3
 
2.8%
Other values (55) 73
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
94.4%
Other Symbol 3
 
2.8%
Space Separator 3
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
4.9%
순 4
 
3.9%
농 4
 
3.9%
희 4
 
3.9%
정 3
 
2.9%
인 3
 
2.9%
법 3
 
2.9%
사 3
 
2.9%
회 3
 
2.9%
업 3
 
2.9%
Other values (53) 67
65.7%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
97.2%
Common 3
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
4.8%
순 4
 
3.8%
농 4
 
3.8%
희 4
 
3.8%
정 3
 
2.9%
㈜ 3
 
2.9%
인 3
 
2.9%
법 3
 
2.9%
사 3
 
2.9%
회 3
 
2.9%
Other values (54) 70
66.7%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
94.4%
None 3
 
2.8%
ASCII 3
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
4.9%
순 4
 
3.9%
농 4
 
3.9%
희 4
 
3.9%
정 3
 
2.9%
인 3
 
2.9%
법 3
 
2.9%
사 3
 
2.9%
회 3
 
2.9%
업 3
 
2.9%
Other values (53) 67
65.7%
None
ValueCountFrequency (%)
㈜ 3
100.0%
ASCII
ValueCountFrequency (%)
3
100.0%

소재지지번주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T09:34:28.120290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.518519
Min length19

Characters and Unicode

Total characters581
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

Unique27 ?
Unique (%)100.0%

Sample

1st row강원도 횡성군 청일면 속실리 518-2
2nd row강원도 횡성군 서원면 석화리 770-17
3rd row강원도 횡성군 둔내면 삽교리 795
4th row강원도 횡성군 둔내면 삽교리 190
5th row강원도 횡성군 둔내면 궁종리 75
ValueCountFrequency (%)
강원도 27
20.0%
횡성군 27
20.0%
둔내면 9
 
6.7%
갑천면 7
 
5.2%
삽교리 4
 
3.0%
서원면 3
 
2.2%
병지방리 2
 
1.5%
공근면 2
 
1.5%
청일면 2
 
1.5%
261-1 1
 
0.7%
Other values (51) 51
37.8%
2024-04-21T09:34:29.103879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
22.9%
원 31
 
5.3%
강 28
 
4.8%
횡 28
 
4.8%
성 28
 
4.8%
도 27
 
4.6%
군 27
 
4.6%
면 27
 
4.6%
리 27
 
4.6%
- 19
 
3.3%
Other values (58) 206
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
56.5%
Space Separator 133
22.9%
Decimal Number 101
 
17.4%
Dash Punctuation 19
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 31
 
9.5%
강 28
 
8.5%
횡 28
 
8.5%
성 28
 
8.5%
도 27
 
8.2%
군 27
 
8.2%
면 27
 
8.2%
리 27
 
8.2%
둔 10
 
3.0%
내 10
 
3.0%
Other values (46) 85
25.9%
Decimal Number
ValueCountFrequency (%)
1 16
15.8%
7 14
13.9%
2 14
13.9%
3 13
12.9%
0 11
10.9%
5 11
10.9%
4 7
6.9%
9 6
 
5.9%
6 5
 
5.0%
8 4
 
4.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
56.5%
Common 253
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 31
 
9.5%
강 28
 
8.5%
횡 28
 
8.5%
성 28
 
8.5%
도 27
 
8.2%
군 27
 
8.2%
면 27
 
8.2%
리 27
 
8.2%
둔 10
 
3.0%
내 10
 
3.0%
Other values (46) 85
25.9%
Common
ValueCountFrequency (%)
133
52.6%
- 19
 
7.5%
1 16
 
6.3%
7 14
 
5.5%
2 14
 
5.5%
3 13
 
5.1%
0 11
 
4.3%
5 11
 
4.3%
4 7
 
2.8%
9 6
 
2.4%
Other values (2) 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
56.5%
ASCII 253
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
52.6%
- 19
 
7.5%
1 16
 
6.3%
7 14
 
5.5%
2 14
 
5.5%
3 13
 
5.1%
0 11
 
4.3%
5 11
 
4.3%
4 7
 
2.8%
9 6
 
2.4%
Other values (2) 9
 
3.6%
Hangul
ValueCountFrequency (%)
원 31
 
9.5%
강 28
 
8.5%
횡 28
 
8.5%
성 28
 
8.5%
도 27
 
8.2%
군 27
 
8.2%
면 27
 
8.2%
리 27
 
8.2%
둔 10
 
3.0%
내 10
 
3.0%
Other values (46) 85
25.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
Minimum2022-06-24 00:00:00
Maximum2022-06-24 00:00:00
2024-04-21T09:34:29.286901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:34:29.443480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T09:34:22.969217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T09:34:29.561373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번농원명대표자명소재지지번주소
연번1.0001.0001.0001.000
농원명1.0001.0001.0001.000
대표자명1.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.000

Missing values

2024-04-21T09:34:23.283975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T09:34:23.592310image/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

연번농원명대표자명소재지지번주소데이터기준일자
01청일정천근강원도 횡성군 청일면 속실리 518-22022-06-24
12황토자리장성규강원도 횡성군 서원면 석화리 770-172022-06-24
23별무리배순호강원도 횡성군 둔내면 삽교리 7952022-06-24
34PAGE102이종선강원도 횡성군 둔내면 삽교리 1902022-06-24
45올챙이신혁철강원도 횡성군 둔내면 궁종리 752022-06-24
56세계로김복희강원도 횡성군 갑천면 병지방리 90-32022-06-24
67숲속의연인별김경희강원도 횡성군 둔내면 두원리 305-12022-06-24
78태기산 아침의새소리오금택강원도 횡성군 둔내면 삽교리 2052022-06-24
89파인빌리지김현영강원도 횡성군 우천면 하궁리 834-12022-06-24
910배향산이희성강원도 횡성군 강림면 월현리 1704-42022-06-24
연번농원명대표자명소재지지번주소데이터기준일자
1718횡성산촌농업회사법인 산촌㈜강원도 횡성군 갑천면 추동리 102-32022-06-24
1819노아의 숲박주원강원도 횡성군 갑천면 화전리 20182022-06-24
1920어답산엄계월강원도 횡성군 갑천면 삼거리 227-202022-06-24
2021달빛허양순강원도 횡성군 둔내면 삽교리 15552022-06-24
2122화수목전제구강원도 횡성군 둔내면 둔방내리 39-22022-06-24
2223둥이네한문희강원도 횡성군 갑천면 매일리 4702022-06-24
2324나우정종화강원도 횡성군 공근면 수백리 481-12022-06-24
2425귀촌정호택강원도 횡성군 갑천면 병지방리 279-22022-06-24
2526자연과힐링이숙향강원도 횡성군 청일면 갑천리 2362022-06-24
2627섬바위골 낚시 관광농원김다미강원도 횡성군 안흥면 지구리 755-42022-06-24