Overview

Dataset statistics

Number of variables13
Number of observations125
Missing cells15
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory107.1 B

Variable types

Text5
Categorical5
DateTime1
Numeric2

Dataset

Description경상북도 시군에 소재하는 농촌체험휴양마을의 체험마을명, 체험프로그램명, 소재지 도로명 주소, 대표자성명, 연락처, 지정일자 등에 대한 자료입니다.
Author경상북도
URLhttps://www.data.go.kr/data/15044796/fileData.do

Alerts

시도명 has constant value ""Constant
체험프로그램구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시군구명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
관리기관명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
대표전화번호 has 15 (12.0%) missing valuesMissing
체험마을명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
대표자성명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:50:37.235772
Analysis finished2023-12-12 08:50:39.218057
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

체험마을명
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:50:39.469461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.264
Min length3

Characters and Unicode

Total characters783
Distinct characters201
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)100.0%

Sample

1st row두마산촌생태마을
2nd row탑정리마을
3rd row창지리봉산마을
4th row기계봉좌마을
5th row세심마을
ValueCountFrequency (%)
두마산촌생태마을 1
 
0.8%
반디마을 1
 
0.8%
개실마을 1
 
0.8%
가얏고마을 1
 
0.8%
섶마리농촌체험휴양마을 1
 
0.8%
백연지녹색농촌체험휴양마을 1
 
0.8%
성곡권역농촌체험휴양마을 1
 
0.8%
송금마을 1
 
0.8%
고래산농어촌체험휴양마을 1
 
0.8%
아리별마을 1
 
0.8%
Other values (116) 116
92.1%
2023-12-12T17:50:39.978996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 127
 
16.2%
을 121
 
15.5%
산 21
 
2.7%
촌 16
 
2.0%
양 14
 
1.8%
리 14
 
1.8%
험 13
 
1.7%
체 13
 
1.7%
휴 13
 
1.7%
농 13
 
1.7%
Other values (191) 418
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 782
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 127
 
16.2%
을 121
 
15.5%
산 21
 
2.7%
촌 16
 
2.0%
양 14
 
1.8%
리 14
 
1.8%
험 13
 
1.7%
체 13
 
1.7%
휴 13
 
1.7%
농 13
 
1.7%
Other values (190) 417
53.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 782
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 127
 
16.2%
을 121
 
15.5%
산 21
 
2.7%
촌 16
 
2.0%
양 14
 
1.8%
리 14
 
1.8%
험 13
 
1.7%
체 13
 
1.7%
휴 13
 
1.7%
농 13
 
1.7%
Other values (190) 417
53.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 782
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 127
 
16.2%
을 121
 
15.5%
산 21
 
2.7%
촌 16
 
2.0%
양 14
 
1.8%
리 14
 
1.8%
험 13
 
1.7%
체 13
 
1.7%
휴 13
 
1.7%
농 13
 
1.7%
Other values (190) 417
53.3%
ASCII
ValueCountFrequency (%)
1
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경상북도
125 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 125
100.0%

Length

2023-12-12T17:50:40.173553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:40.280180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 125
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
상주시
12 
영주시
11 
안동시
11 
봉화군
10 
영덕군
 
7
Other values (17)
74 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포항시
2nd row포항시
3rd row포항시
4th row포항시
5th row경주시

Common Values

ValueCountFrequency (%)
상주시 12
 
9.6%
영주시 11
 
8.8%
안동시 11
 
8.8%
봉화군 10
 
8.0%
영덕군 7
 
5.6%
예천군 7
 
5.6%
문경시 7
 
5.6%
영양군 7
 
5.6%
성주군 6
 
4.8%
칠곡군 5
 
4.0%
Other values (12) 42
33.6%

Length

2023-12-12T17:50:40.395981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상주시 12
 
9.6%
안동시 11
 
8.8%
영주시 11
 
8.8%
봉화군 10
 
8.0%
영덕군 7
 
5.6%
예천군 7
 
5.6%
문경시 7
 
5.6%
영양군 7
 
5.6%
성주군 6
 
4.8%
칠곡군 5
 
4.0%
Other values (12) 42
33.6%

체험프로그램구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전통문화체험, 전통음식체험, 자연생태체험
125 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전통문화체험, 전통음식체험, 자연생태체험
2nd row전통문화체험, 전통음식체험, 자연생태체험
3rd row전통문화체험, 전통음식체험, 자연생태체험
4th row전통문화체험, 전통음식체험, 자연생태체험
5th row전통문화체험, 전통음식체험, 자연생태체험

Common Values

ValueCountFrequency (%)
전통문화체험, 전통음식체험, 자연생태체험 125
100.0%

Length

2023-12-12T17:50:40.522650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:40.675356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통문화체험 125
33.3%
전통음식체험 125
33.3%
자연생태체험 125
33.3%

체험프로그램명
Text

Distinct102
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:50:40.894658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length23.8
Min length4

Characters and Unicode

Total characters2975
Distinct characters296
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)80.0%

Sample

1st row목공체험, 생태체험, 숲해설
2nd row농산물수확체험
3rd row산딸기잼체험, 피자만들기, 칼국수만들기, 서바이벌
4th row칼국수만들기, 단감따기, 승마체험, 감자캐기
5th row활쏘기, 제기차기, 예절배우기, 떡메치기, 두부만들기, 강정만들기
ValueCountFrequency (%)
농산물수확체험 31
 
7.1%
사과따기 18
 
4.1%
두부만들기 13
 
3.0%
천연염색 9
 
2.1%
농산물수확 7
 
1.6%
고구마캐기 6
 
1.4%
손두부만들기 6
 
1.4%
떡메치기 5
 
1.2%
비누만들기 4
 
0.9%
도자기체험 4
 
0.9%
Other values (265) 331
76.3%
2023-12-12T17:50:41.369868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
10.4%
, 307
 
10.3%
기 261
 
8.8%
들 131
 
4.4%
체 130
 
4.4%
험 130
 
4.4%
만 129
 
4.3%
수 67
 
2.3%
확 53
 
1.8%
산 52
 
1.7%
Other values (286) 1406
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2359
79.3%
Space Separator 309
 
10.4%
Other Punctuation 307
 
10.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 261
 
11.1%
들 131
 
5.6%
체 130
 
5.5%
험 130
 
5.5%
만 129
 
5.5%
수 67
 
2.8%
확 53
 
2.2%
산 52
 
2.2%
물 47
 
2.0%
농 44
 
1.9%
Other values (284) 1315
55.7%
Space Separator
ValueCountFrequency (%)
309
100.0%
Other Punctuation
ValueCountFrequency (%)
, 307
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2359
79.3%
Common 616
 
20.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 261
 
11.1%
들 131
 
5.6%
체 130
 
5.5%
험 130
 
5.5%
만 129
 
5.5%
수 67
 
2.8%
확 53
 
2.2%
산 52
 
2.2%
물 47
 
2.0%
농 44
 
1.9%
Other values (284) 1315
55.7%
Common
ValueCountFrequency (%)
309
50.2%
, 307
49.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2359
79.3%
ASCII 616
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
50.2%
, 307
49.8%
Hangul
ValueCountFrequency (%)
기 261
 
11.1%
들 131
 
5.6%
체 130
 
5.5%
험 130
 
5.5%
만 129
 
5.5%
수 67
 
2.8%
확 53
 
2.2%
산 52
 
2.2%
물 47
 
2.0%
농 44
 
1.9%
Other values (284) 1315
55.7%

소재지도로명주소
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:50:41.722977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.248
Min length18

Characters and Unicode

Total characters2656
Distinct characters194
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

Unique125 ?
Unique (%)100.0%

Sample

1st row경상북도 포항시 북구 죽장면 면봉산길 828
2nd row경상북도 포항시 북구 기북면 비학산길 15-1
3rd row경상북도 포항시 남구 장기면 장기로 795
4th row경상북도 포항시 북구 기계면 봉계길 46
5th row경상북도 경주시 안강읍 세심길 20-9
ValueCountFrequency (%)
경상북도 125
 
19.8%
상주시 12
 
1.9%
안동시 11
 
1.7%
영주시 11
 
1.7%
봉화군 10
 
1.6%
영덕군 7
 
1.1%
문경시 7
 
1.1%
예천군 7
 
1.1%
영양군 7
 
1.1%
성주군 6
 
1.0%
Other values (356) 427
67.8%
2023-12-12T17:50:42.206094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
505
19.0%
상 141
 
5.3%
경 140
 
5.3%
북 135
 
5.1%
도 133
 
5.0%
면 114
 
4.3%
1 96
 
3.6%
길 87
 
3.3%
군 69
 
2.6%
시 62
 
2.3%
Other values (184) 1174
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1689
63.6%
Space Separator 505
 
19.0%
Decimal Number 422
 
15.9%
Dash Punctuation 40
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 141
 
8.3%
경 140
 
8.3%
북 135
 
8.0%
도 133
 
7.9%
면 114
 
6.7%
길 87
 
5.2%
군 69
 
4.1%
시 62
 
3.7%
로 49
 
2.9%
산 36
 
2.1%
Other values (172) 723
42.8%
Decimal Number
ValueCountFrequency (%)
1 96
22.7%
2 56
13.3%
3 53
12.6%
6 42
10.0%
9 35
 
8.3%
4 32
 
7.6%
5 32
 
7.6%
7 28
 
6.6%
8 28
 
6.6%
0 20
 
4.7%
Space Separator
ValueCountFrequency (%)
505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1689
63.6%
Common 967
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 141
 
8.3%
경 140
 
8.3%
북 135
 
8.0%
도 133
 
7.9%
면 114
 
6.7%
길 87
 
5.2%
군 69
 
4.1%
시 62
 
3.7%
로 49
 
2.9%
산 36
 
2.1%
Other values (172) 723
42.8%
Common
ValueCountFrequency (%)
505
52.2%
1 96
 
9.9%
2 56
 
5.8%
3 53
 
5.5%
6 42
 
4.3%
- 40
 
4.1%
9 35
 
3.6%
4 32
 
3.3%
5 32
 
3.3%
7 28
 
2.9%
Other values (2) 48
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1689
63.6%
ASCII 967
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
505
52.2%
1 96
 
9.9%
2 56
 
5.8%
3 53
 
5.5%
6 42
 
4.3%
- 40
 
4.1%
9 35
 
3.6%
4 32
 
3.3%
5 32
 
3.3%
7 28
 
2.9%
Other values (2) 48
 
5.0%
Hangul
ValueCountFrequency (%)
상 141
 
8.3%
경 140
 
8.3%
북 135
 
8.0%
도 133
 
7.9%
면 114
 
6.7%
길 87
 
5.2%
군 69
 
4.1%
시 62
 
3.7%
로 49
 
2.9%
산 36
 
2.1%
Other values (172) 723
42.8%

대표자성명
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:50:42.630079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.992
Min length2

Characters and Unicode

Total characters374
Distinct characters111
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)100.0%

Sample

1st row구창모
2nd row이형원
3rd row정만돌
4th row허호용
5th row이지출
ValueCountFrequency (%)
구창모 1
 
0.8%
남유승 1
 
0.8%
김병환 1
 
0.8%
김병만 1
 
0.8%
안성호 1
 
0.8%
박상철 1
 
0.8%
손태남 1
 
0.8%
윤상권 1
 
0.8%
김대호 1
 
0.8%
전병길 1
 
0.8%
Other values (115) 115
92.0%
2023-12-12T17:50:43.212183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 25
 
6.7%
이 16
 
4.3%
영 12
 
3.2%
수 11
 
2.9%
성 11
 
2.9%
호 9
 
2.4%
상 9
 
2.4%
원 8
 
2.1%
정 8
 
2.1%
동 7
 
1.9%
Other values (101) 258
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
6.7%
이 16
 
4.3%
영 12
 
3.2%
수 11
 
2.9%
성 11
 
2.9%
호 9
 
2.4%
상 9
 
2.4%
원 8
 
2.1%
정 8
 
2.1%
동 7
 
1.9%
Other values (101) 258
69.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
6.7%
이 16
 
4.3%
영 12
 
3.2%
수 11
 
2.9%
성 11
 
2.9%
호 9
 
2.4%
상 9
 
2.4%
원 8
 
2.1%
정 8
 
2.1%
동 7
 
1.9%
Other values (101) 258
69.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 25
 
6.7%
이 16
 
4.3%
영 12
 
3.2%
수 11
 
2.9%
성 11
 
2.9%
호 9
 
2.4%
상 9
 
2.4%
원 8
 
2.1%
정 8
 
2.1%
동 7
 
1.9%
Other values (101) 258
69.0%

대표전화번호
Text

MISSING 

Distinct109
Distinct (%)99.1%
Missing15
Missing (%)12.0%
Memory size1.1 KiB
2023-12-12T17:50:43.545134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.936364
Min length1

Characters and Unicode

Total characters1313
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

Unique108 ?
Unique (%)98.2%

Sample

1st row054-261-0660
2nd row054-243-7015
3rd row054-274-3066
4th row054-243-2372
5th row054-762-6148
ValueCountFrequency (%)
054-682-7903 2
 
1.8%
054-931-0211 1
 
0.9%
054-261-0660 1
 
0.9%
054-733-4080 1
 
0.9%
054-954-6011 1
 
0.9%
054-954-5555 1
 
0.9%
054-956-4022 1
 
0.9%
054-956-1799 1
 
0.9%
070-4156-4916 1
 
0.9%
054-733-5558 1
 
0.9%
Other values (98) 98
89.9%
2023-12-12T17:50:44.067650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 218
16.6%
5 196
14.9%
0 180
13.7%
4 165
12.6%
3 103
7.8%
6 90
6.9%
7 88
6.7%
2 83
 
6.3%
8 78
 
5.9%
1 68
 
5.2%
Other values (2) 44
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1094
83.3%
Dash Punctuation 218
 
16.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 196
17.9%
0 180
16.5%
4 165
15.1%
3 103
9.4%
6 90
8.2%
7 88
8.0%
2 83
7.6%
8 78
 
7.1%
1 68
 
6.2%
9 43
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 218
16.6%
5 196
14.9%
0 180
13.7%
4 165
12.6%
3 103
7.8%
6 90
6.9%
7 88
6.7%
2 83
 
6.3%
8 78
 
5.9%
1 68
 
5.2%
Other values (2) 44
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 218
16.6%
5 196
14.9%
0 180
13.7%
4 165
12.6%
3 103
7.8%
6 90
6.9%
7 88
6.7%
2 83
 
6.3%
8 78
 
5.9%
1 68
 
5.2%
Other values (2) 44
 
3.4%

지정일자
Date

Distinct70
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2004-03-01 00:00:00
Maximum2019-12-01 00:00:00
2023-12-12T17:50:44.596411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:44.792853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경상북도 상주
12 
경상북도 영주
11 
경상북도 안동
11 
경상북도 봉화
10 
경상북도 영덕
 
7
Other values (17)
74 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 포항
2nd row경상북도 포항
3rd row경상북도 포항
4th row경상북도 포항
5th row경상북도 경주

Common Values

ValueCountFrequency (%)
경상북도 상주 12
 
9.6%
경상북도 영주 11
 
8.8%
경상북도 안동 11
 
8.8%
경상북도 봉화 10
 
8.0%
경상북도 영덕 7
 
5.6%
경상북도 예천 7
 
5.6%
경상북도 문경 7
 
5.6%
경상북도 영양 7
 
5.6%
경상북도 성주 6
 
4.8%
경상북도 칠곡 5
 
4.0%
Other values (12) 42
33.6%

Length

2023-12-12T17:50:44.973320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 125
50.0%
상주 12
 
4.8%
영주 11
 
4.4%
안동 11
 
4.4%
봉화 10
 
4.0%
영덕 7
 
2.8%
예천 7
 
2.8%
문경 7
 
2.8%
영양 7
 
2.8%
성주 6
 
2.4%
Other values (13) 47
 
18.8%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.420293
Minimum35.660951
Maximum37.0402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T17:50:45.163432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.660951
5-th percentile35.752975
Q136.095786
median36.505541
Q336.734927
95-th percentile36.926157
Maximum37.0402
Range1.379249
Interquartile range (IQR)0.639141

Descriptive statistics

Standard deviation0.38591601
Coefficient of variation (CV)0.010596181
Kurtosis-0.97143809
Mean36.420293
Median Absolute Deviation (MAD)0.297602
Skewness-0.4229293
Sum4552.5366
Variance0.14893117
MonotonicityNot monotonic
2023-12-12T17:50:45.376321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.176426 1
 
0.8%
36.552539 1
 
0.8%
35.786649 1
 
0.8%
35.667684 1
 
0.8%
35.741734 1
 
0.8%
35.677975 1
 
0.8%
35.671926 1
 
0.8%
35.660951 1
 
0.8%
35.708582 1
 
0.8%
36.509525 1
 
0.8%
Other values (115) 115
92.0%
ValueCountFrequency (%)
35.660951 1
0.8%
35.667684 1
0.8%
35.671926 1
0.8%
35.677975 1
0.8%
35.708582 1
0.8%
35.741734 1
0.8%
35.75014 1
0.8%
35.764313 1
0.8%
35.776551 1
0.8%
35.786649 1
0.8%
ValueCountFrequency (%)
37.0402 1
0.8%
37.038038 1
0.8%
37.003809 1
0.8%
36.964464 1
0.8%
36.964447 1
0.8%
36.929852 1
0.8%
36.926888 1
0.8%
36.923231 1
0.8%
36.915275 1
0.8%
36.905441 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65182
Minimum127.87935
Maximum129.47563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T17:50:45.588551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.87935
5-th percentile128.00398
Q1128.30108
median128.66535
Q3129.02806
95-th percentile129.35044
Maximum129.47563
Range1.596282
Interquartile range (IQR)0.72698

Descriptive statistics

Standard deviation0.4234312
Coefficient of variation (CV)0.0032912957
Kurtosis-1.0179119
Mean128.65182
Median Absolute Deviation (MAD)0.362822
Skewness0.10572215
Sum16081.478
Variance0.17929398
MonotonicityNot monotonic
2023-12-12T17:50:45.796688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.053052 1
 
0.8%
129.370994 1
 
0.8%
128.215773 1
 
0.8%
128.231028 1
 
0.8%
128.259934 1
 
0.8%
128.891703 1
 
0.8%
128.649359 1
 
0.8%
128.583651 1
 
0.8%
128.722093 1
 
0.8%
129.404477 1
 
0.8%
Other values (115) 115
92.0%
ValueCountFrequency (%)
127.879351 1
0.8%
127.929287 1
0.8%
127.937713 1
0.8%
127.953601 1
0.8%
127.957437 1
0.8%
127.963342 1
0.8%
128.003066 1
0.8%
128.007628 1
0.8%
128.021344 1
0.8%
128.026063 1
0.8%
ValueCountFrequency (%)
129.475633 1
0.8%
129.415653 1
0.8%
129.41319 1
0.8%
129.404477 1
0.8%
129.372618 1
0.8%
129.370994 1
0.8%
129.35238 1
0.8%
129.342702 1
0.8%
129.341266 1
0.8%
129.321593 1
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022-07-07
125 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-07-07
2nd row2022-07-07
3rd row2022-07-07
4th row2022-07-07
5th row2022-07-07

Common Values

ValueCountFrequency (%)
2022-07-07 125
100.0%

Length

2023-12-12T17:50:45.971177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:46.072775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-07-07 125
100.0%

Interactions

2023-12-12T17:50:38.512031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:38.219532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:38.662472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:38.377254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:50:46.151077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명지정일자관리기관명위도경도
시군구명1.0000.8801.0000.9170.879
지정일자0.8801.0000.8800.5080.694
관리기관명1.0000.8801.0000.9170.879
위도0.9170.5080.9171.0000.393
경도0.8790.6940.8790.3931.000
2023-12-12T17:50:46.281324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명관리기관명
시군구명1.0001.000
관리기관명1.0001.000
2023-12-12T17:50:46.385418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군구명관리기관명
위도1.0000.1460.6250.625
경도0.1461.0000.5450.545
시군구명0.6250.5451.0001.000
관리기관명0.6250.5451.0001.000

Missing values

2023-12-12T17:50:38.849888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:50:39.118847image/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

체험마을명시도명시군구명체험프로그램구분체험프로그램명소재지도로명주소대표자성명대표전화번호지정일자관리기관명위도경도데이터기준일자
0두마산촌생태마을경상북도포항시전통문화체험, 전통음식체험, 자연생태체험목공체험, 생태체험, 숲해설경상북도 포항시 북구 죽장면 면봉산길 828구창모054-261-06602014-06-01경상북도 포항36.176426129.0530522022-07-07
1탑정리마을경상북도포항시전통문화체험, 전통음식체험, 자연생태체험농산물수확체험경상북도 포항시 북구 기북면 비학산길 15-1이형원054-243-70152014-10-01경상북도 포항36.156413129.186222022-07-07
2창지리봉산마을경상북도포항시전통문화체험, 전통음식체험, 자연생태체험산딸기잼체험, 피자만들기, 칼국수만들기, 서바이벌경상북도 포항시 남구 장기면 장기로 795정만돌054-274-30662015-04-01경상북도 포항35.926004129.4756332022-07-07
3기계봉좌마을경상북도포항시전통문화체험, 전통음식체험, 자연생태체험칼국수만들기, 단감따기, 승마체험, 감자캐기경상북도 포항시 북구 기계면 봉계길 46허호용054-243-23722015-06-01경상북도 포항36.077817129.1704422022-07-07
4세심마을경상북도경주시전통문화체험, 전통음식체험, 자연생태체험활쏘기, 제기차기, 예절배우기, 떡메치기, 두부만들기, 강정만들기경상북도 경주시 안강읍 세심길 20-9이지출054-762-61482004-03-01경상북도 경주36.015504129.1619512022-07-07
5하범곡마을경상북도경주시전통문화체험, 전통음식체험, 자연생태체험고추장담그기, 감자캐기, 두부만들기, 고무신 포크아트 그림경상북도 경주시 양북면 하범길 199황지운054-748-89872010-11-01경상북도 경주35.790639129.3726182022-07-07
6옥산마을경상북도경주시전통문화체험, 전통음식체험, 자연생태체험손칼국수만들기, 도토리묵만들기, 유과만들기, 호두강정만들기경상북도 경주시 안강읍 중부2길 14김금조054-763-01012014-01-01경상북도 경주36.005018129.1719642022-07-07
7다봉마을경상북도경주시전통문화체험, 전통음식체험, 자연생태체험꽃차체험, 야생화심기, 김치담그기, 된장담그기, 조청만들기경상북도 경주시 산내면 장사길 431김인영054-751-68732012-03-01경상북도 경주35.816224129.0364482022-07-07
8옛날솜씨마을경상북도김천시전통문화체험, 전통음식체험, 자연생태체험고구마수확, 김치담그기, 된장담그기, 조청만들기, 짚풀공예경상북도 김천시 증산면 평촌3길 25-10최병술054-437-04552010-11-01경상북도 김천35.895254128.0213442022-07-07
9이화만리마을경상북도김천시전통문화체험, 전통음식체험, 자연생태체험황토물들이기, 고구마캐기, 감자캐기, 도자기체험, 잔치음식만들기경상북도 김천시 농소면 벽봉로 1651최용원054-436-12132010-11-01경상북도 김천36.071717128.1774222022-07-07
체험마을명시도명시군구명체험프로그램구분체험프로그램명소재지도로명주소대표자성명대표전화번호지정일자관리기관명위도경도데이터기준일자
115다슬기마을경상북도봉화군전통문화체험, 전통음식체험, 자연생태체험다슬기줍기, 산채체험, 갈산구곡생태체험, 다슬기음식만들기경상북도 봉화군 재산면 큰마을길 38-1황창호054-674-34452014-04-01경상북도 봉화36.85032129.0280562022-07-07
116덕산뚜드리마을경상북도봉화군전통문화체험, 전통음식체험, 자연생태체험농산물수확체험경상북도 봉화군 재산면 동면로 410신대기054-674-28822014-02-01경상북도 봉화36.807771129.0027022022-07-07
117하늘휴양마을경상북도봉화군전통문화체험, 전통음식체험, 자연생태체험농산물수확체험경상북도 봉화군 상운면 계밑길 13-2김광조<NA>2014-03-01경상북도 봉화36.874185128.7796472022-07-07
118문수골권역마을경상북도봉화군전통문화체험, 전통음식체험, 자연생태체험쌀베이킹, 아로마체험, 야생화체험경상북도 봉화군 봉성면 다덕로 565홍승철054-672-11422015-03-01경상북도 봉화36.915275128.8053862022-07-07
119오전애마을경상북도봉화군전통문화체험, 전통음식체험, 자연생태체험농산물수확체험경상북도 봉화군 물야면 오전길 17-27김근배054-673-21712016-08-01경상북도 봉화37.003809128.7155052022-07-07
120협곡구비마을경상북도봉화군전통문화체험, 전통음식체험, 자연생태체험제과제빵체험, 딸기수확, 삼굿구이체험, 호버카트체험경상북도 봉화군 소천면 풍애길 9-42조완희<NA>2018-11-01경상북도 봉화36.926888129.0510182022-07-07
121문수골가재마을경상북도봉화군전통문화체험, 전통음식체험, 자연생태체험농산물수확체험경상북도 봉화군 봉성면 시거리길 196정해수054-672-11992019-05-01경상북도 봉화36.929852128.8256022022-07-07
122굴구지마을경상북도울진군전통문화체험, 전통음식체험, 자연생태체험피래미낚시체험, 은어잡기, 감자떡만들기, 손칼국수만들기경상북도 울진군 근남면 왕피천로 634김억년054-782-37372010-12-01경상북도 울진36.923231129.3427022022-07-07
123백암온천마을경상북도울진군전통문화체험, 전통음식체험, 자연생태체험농산물수확체험, 블루베리수확, 효소담그기, 민속놀이체험경상북도 울진군 온정면 온정1길 119신길용054-788-44902011-12-01경상북도 울진36.708881129.3412662022-07-07
124십이령마을경상북도울진군전통문화체험, 전통음식체험, 자연생태체험농산물수확체험, 에코백만들기, 천연염색체험, 트랜터마차체험경상북도 울진군 북면 두천길 293강성국054-781-30362015-07-01경상북도 울진37.0402129.3215932022-07-07