Overview

Dataset statistics

Number of variables12
Number of observations33
Missing cells4
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory105.0 B

Variable types

Text5
Numeric5
Categorical1
DateTime1

Dataset

Description전라남도내 정보화마을 현황(마을명, 특산물, 소재지, 인구수, 가구수 등)에 관한 데이터를 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/3036121/fileData.do

Alerts

데이터 기준날짜 has constant value ""Constant
조성차수 is highly overall correlated with 가구수High correlation
인구수 is highly overall correlated with 가구수High correlation
가구수 is highly overall correlated with 조성차수 and 1 other fieldsHigh correlation
체험프로그램 has 4 (12.1%) missing valuesMissing
마을명 has unique valuesUnique
인구수 has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-13 01:03:22.126512
Analysis finished2023-12-13 01:03:24.571022
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Text

Distinct17
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T10:03:24.667388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters99
Distinct characters29
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

Unique8 ?
Unique (%)24.2%

Sample

1st row여수시
2nd row순천시
3rd row나주시
4th row나주시
5th row나주시
ValueCountFrequency (%)
나주시 4
12.1%
광양시 4
12.1%
무안군 3
9.1%
진도군 3
9.1%
완도군 3
9.1%
보성군 2
 
6.1%
장흥군 2
 
6.1%
해남군 2
 
6.1%
영광군 2
 
6.1%
함평군 1
 
3.0%
Other values (7) 7
21.2%
2023-12-13T10:03:24.893344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 23
23.2%
시 10
 
10.1%
광 6
 
6.1%
도 6
 
6.1%
나 4
 
4.0%
양 4
 
4.0%
안 4
 
4.0%
주 4
 
4.0%
무 3
 
3.0%
진 3
 
3.0%
Other values (19) 32
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 23
23.2%
시 10
 
10.1%
광 6
 
6.1%
도 6
 
6.1%
나 4
 
4.0%
양 4
 
4.0%
안 4
 
4.0%
주 4
 
4.0%
무 3
 
3.0%
진 3
 
3.0%
Other values (19) 32
32.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 23
23.2%
시 10
 
10.1%
광 6
 
6.1%
도 6
 
6.1%
나 4
 
4.0%
양 4
 
4.0%
안 4
 
4.0%
주 4
 
4.0%
무 3
 
3.0%
진 3
 
3.0%
Other values (19) 32
32.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 23
23.2%
시 10
 
10.1%
광 6
 
6.1%
도 6
 
6.1%
나 4
 
4.0%
양 4
 
4.0%
안 4
 
4.0%
주 4
 
4.0%
무 3
 
3.0%
진 3
 
3.0%
Other values (19) 32
32.3%

마을명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T10:03:25.064558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.9393939
Min length4

Characters and Unicode

Total characters196
Distinct characters94
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

Unique33 ?
Unique (%)100.0%

Sample

1st row돌산갓김치마을
2nd row낙안배이곡마을
3rd row배꽃마을
4th row봉황황토마을
5th row나주평야마을
ValueCountFrequency (%)
돌산갓김치마을 1
 
3.0%
김치마을 1
 
3.0%
행복한섬마을 1
 
3.0%
접도웰빙마을 1
 
3.0%
소포검정쌀마을 1
 
3.0%
보길도예송마을 1
 
3.0%
개매기마을 1
 
3.0%
금당도갯벌섬마을 1
 
3.0%
용암마을 1
 
3.0%
굴비마을 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T10:03:25.323371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 33
 
16.8%
을 33
 
16.8%
도 4
 
2.0%
송 3
 
1.5%
배 3
 
1.5%
주 3
 
1.5%
섬 3
 
1.5%
벌 3
 
1.5%
한 3
 
1.5%
예 3
 
1.5%
Other values (84) 105
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 33
 
16.8%
을 33
 
16.8%
도 4
 
2.0%
송 3
 
1.5%
배 3
 
1.5%
주 3
 
1.5%
섬 3
 
1.5%
벌 3
 
1.5%
한 3
 
1.5%
예 3
 
1.5%
Other values (84) 105
53.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 33
 
16.8%
을 33
 
16.8%
도 4
 
2.0%
송 3
 
1.5%
배 3
 
1.5%
주 3
 
1.5%
섬 3
 
1.5%
벌 3
 
1.5%
한 3
 
1.5%
예 3
 
1.5%
Other values (84) 105
53.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 33
 
16.8%
을 33
 
16.8%
도 4
 
2.0%
송 3
 
1.5%
배 3
 
1.5%
주 3
 
1.5%
섬 3
 
1.5%
벌 3
 
1.5%
한 3
 
1.5%
예 3
 
1.5%
Other values (84) 105
53.6%

특산물
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T10:03:25.501582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.7575758
Min length2

Characters and Unicode

Total characters322
Distinct characters105
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

Unique31 ?
Unique (%)93.9%

Sample

1st row돌산갓김치, 고들빼기
2nd row배, 매실, 목장요구르트
3rd row배, 송이버섯
4th row쌀, 배, 보리쌀
5th row쌀, 딸기, 황토팩
ValueCountFrequency (%)
배 7
 
7.7%
미역 5
 
5.5%
전복 4
 
4.4%
다시마 4
 
4.4%
쌀 4
 
4.4%
멸치 3
 
3.3%
매실 3
 
3.3%
토마토 3
 
3.3%
단감 2
 
2.2%
마늘 2
 
2.2%
Other values (50) 54
59.3%
2023-12-13T10:03:25.769321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 58
 
18.0%
58
 
18.0%
마 11
 
3.4%
배 10
 
3.1%
토 9
 
2.8%
고 9
 
2.8%
쌀 6
 
1.9%
미 5
 
1.6%
역 5
 
1.6%
복 5
 
1.6%
Other values (95) 146
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
64.0%
Other Punctuation 58
 
18.0%
Space Separator 58
 
18.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 11
 
5.3%
배 10
 
4.9%
토 9
 
4.4%
고 9
 
4.4%
쌀 6
 
2.9%
미 5
 
2.4%
역 5
 
2.4%
복 5
 
2.4%
추 5
 
2.4%
전 4
 
1.9%
Other values (93) 137
66.5%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
64.0%
Common 116
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 11
 
5.3%
배 10
 
4.9%
토 9
 
4.4%
고 9
 
4.4%
쌀 6
 
2.9%
미 5
 
2.4%
역 5
 
2.4%
복 5
 
2.4%
추 5
 
2.4%
전 4
 
1.9%
Other values (93) 137
66.5%
Common
ValueCountFrequency (%)
, 58
50.0%
58
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
64.0%
ASCII 116
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 58
50.0%
58
50.0%
Hangul
ValueCountFrequency (%)
마 11
 
5.3%
배 10
 
4.9%
토 9
 
4.4%
고 9
 
4.4%
쌀 6
 
2.9%
미 5
 
2.4%
역 5
 
2.4%
복 5
 
2.4%
추 5
 
2.4%
전 4
 
1.9%
Other values (93) 137
66.5%

조성차수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2121212
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T10:03:25.860449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q13
median4
Q36
95-th percentile8
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5094518
Coefficient of variation (CV)0.59576914
Kurtosis3.3154165
Mean4.2121212
Median Absolute Deviation (MAD)2
Skewness1.525011
Sum139
Variance6.2973485
MonotonicityNot monotonic
2023-12-13T10:03:25.936541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 8
24.2%
4 7
21.2%
2 6
18.2%
6 3
 
9.1%
7 3
 
9.1%
1 2
 
6.1%
8 2
 
6.1%
13 1
 
3.0%
5 1
 
3.0%
ValueCountFrequency (%)
1 2
 
6.1%
2 6
18.2%
3 8
24.2%
4 7
21.2%
5 1
 
3.0%
6 3
 
9.1%
7 3
 
9.1%
8 2
 
6.1%
13 1
 
3.0%
ValueCountFrequency (%)
13 1
 
3.0%
8 2
 
6.1%
7 3
 
9.1%
6 3
 
9.1%
5 1
 
3.0%
4 7
21.2%
3 8
24.2%
2 6
18.2%
1 2
 
6.1%

인구수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.45455
Minimum73
Maximum826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T10:03:26.272204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile100.2
Q1147
median275
Q3477
95-th percentile753.2
Maximum826
Range753
Interquartile range (IQR)330

Descriptive statistics

Standard deviation219.78983
Coefficient of variation (CV)0.65715904
Kurtosis-0.43028147
Mean334.45455
Median Absolute Deviation (MAD)155
Skewness0.79483235
Sum11037
Variance48307.568
MonotonicityNot monotonic
2023-12-13T10:03:26.373238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
788 1
 
3.0%
73 1
 
3.0%
300 1
 
3.0%
477 1
 
3.0%
548 1
 
3.0%
103 1
 
3.0%
647 1
 
3.0%
112 1
 
3.0%
180 1
 
3.0%
205 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
73 1
3.0%
96 1
3.0%
103 1
3.0%
110 1
3.0%
111 1
3.0%
112 1
3.0%
123 1
3.0%
125 1
3.0%
147 1
3.0%
169 1
3.0%
ValueCountFrequency (%)
826 1
3.0%
788 1
3.0%
730 1
3.0%
663 1
3.0%
647 1
3.0%
554 1
3.0%
548 1
3.0%
509 1
3.0%
477 1
3.0%
450 1
3.0%

가구수
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.87879
Minimum36
Maximum426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T10:03:26.469585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile50.8
Q169
median124
Q3245
95-th percentile355.2
Maximum426
Range390
Interquartile range (IQR)176

Descriptive statistics

Standard deviation108.33939
Coefficient of variation (CV)0.69059295
Kurtosis-0.10962514
Mean156.87879
Median Absolute Deviation (MAD)57
Skewness0.98027185
Sum5177
Variance11737.422
MonotonicityNot monotonic
2023-12-13T10:03:26.564245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
124 2
 
6.1%
67 2
 
6.1%
72 2
 
6.1%
378 1
 
3.0%
246 1
 
3.0%
245 1
 
3.0%
43 1
 
3.0%
307 1
 
3.0%
36 1
 
3.0%
96 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
36 1
3.0%
43 1
3.0%
56 1
3.0%
57 1
3.0%
62 1
3.0%
67 2
6.1%
68 1
3.0%
69 1
3.0%
72 2
6.1%
80 1
3.0%
ValueCountFrequency (%)
426 1
3.0%
378 1
3.0%
340 1
3.0%
327 1
3.0%
307 1
3.0%
282 1
3.0%
251 1
3.0%
246 1
3.0%
245 1
3.0%
194 1
3.0%

마을유형
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
전자상거래/체험
28 
전자상거래
5 

Length

Max length8
Median length8
Mean length7.5454545
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전자상거래/체험
2nd row전자상거래/체험
3rd row전자상거래/체험
4th row전자상거래/체험
5th row전자상거래/체험

Common Values

ValueCountFrequency (%)
전자상거래/체험 28
84.8%
전자상거래 5
 
15.2%

Length

2023-12-13T10:03:26.662675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T10:03:26.735346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자상거래/체험 28
84.8%
전자상거래 5
 
15.2%

체험프로그램
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing4
Missing (%)12.1%
Memory size396.0 B
2023-12-13T10:03:26.884874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length9.2413793
Min length4

Characters and Unicode

Total characters268
Distinct characters94
Distinct categories5 ?
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 (%)93.1%

Sample

1st row두문어촌체험
2nd row낙안배따기체험
3rd row마늘캐기
4th row딸기, 고구마체험
5th row도자기, 자연염색체험
ValueCountFrequency (%)
지정 4
 
8.2%
바지락캐기체험 2
 
4.1%
체험 2
 
4.1%
딸기 2
 
4.1%
매실체험 2
 
4.1%
농촌체험휴양마을 2
 
4.1%
천연비누 1
 
2.0%
향초체험(농촌체험휴양마을 1
 
2.0%
모싯잎송편 1
 
2.0%
만들기 1
 
2.0%
Other values (31) 31
63.3%
2023-12-13T10:03:27.139342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 25
 
9.3%
험 25
 
9.3%
20
 
7.5%
기 19
 
7.1%
, 10
 
3.7%
마 8
 
3.0%
지 7
 
2.6%
양 5
 
1.9%
촌 5
 
1.9%
만 4
 
1.5%
Other values (84) 140
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
85.8%
Space Separator 22
 
8.2%
Other Punctuation 10
 
3.7%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 25
 
10.9%
험 25
 
10.9%
기 19
 
8.3%
마 8
 
3.5%
지 7
 
3.0%
양 5
 
2.2%
촌 5
 
2.2%
만 4
 
1.7%
들 4
 
1.7%
토 4
 
1.7%
Other values (79) 124
53.9%
Space Separator
ValueCountFrequency (%)
20
90.9%
　 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
85.8%
Common 38
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 25
 
10.9%
험 25
 
10.9%
기 19
 
8.3%
마 8
 
3.5%
지 7
 
3.0%
양 5
 
2.2%
촌 5
 
2.2%
만 4
 
1.7%
들 4
 
1.7%
토 4
 
1.7%
Other values (79) 124
53.9%
Common
ValueCountFrequency (%)
20
52.6%
, 10
26.3%
( 3
 
7.9%
) 3
 
7.9%
　 2
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
85.8%
ASCII 36
 
13.4%
None 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 25
 
10.9%
험 25
 
10.9%
기 19
 
8.3%
마 8
 
3.5%
지 7
 
3.0%
양 5
 
2.2%
촌 5
 
2.2%
만 4
 
1.7%
들 4
 
1.7%
토 4
 
1.7%
Other values (79) 124
53.9%
ASCII
ValueCountFrequency (%)
20
55.6%
, 10
27.8%
( 3
 
8.3%
) 3
 
8.3%
None
ValueCountFrequency (%)
　 2
100.0%

소재지
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T10:03:27.398574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length16
Min length10

Characters and Unicode

Total characters528
Distinct characters116
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

Unique33 ?
Unique (%)100.0%

Sample

1st row여수시 돌산읍돌산로 2095
2nd row순천시 낙안면 이곡1길 49
3rd row나주시 다시면 영동리 422-1
4th row나주시 봉황면 봉화로 753
5th row나주시 남평읍 방축2길 21-8
ValueCountFrequency (%)
광양시 4
 
3.0%
나주시 4
 
3.0%
완도군 3
 
2.3%
진도군 3
 
2.3%
무안군 3
 
2.3%
영광군 2
 
1.5%
39 2
 
1.5%
보성군 2
 
1.5%
장흥군 2
 
1.5%
해남군 2
 
1.5%
Other values (105) 105
79.5%
2023-12-13T10:03:27.761385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
18.8%
면 25
 
4.7%
군 24
 
4.5%
길 22
 
4.2%
1 19
 
3.6%
2 18
 
3.4%
9 14
 
2.7%
로 13
 
2.5%
3 13
 
2.5%
5 11
 
2.1%
Other values (106) 270
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
59.8%
Decimal Number 102
 
19.3%
Space Separator 99
 
18.8%
Dash Punctuation 11
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 25
 
7.9%
군 24
 
7.6%
길 22
 
7.0%
로 13
 
4.1%
시 11
 
3.5%
도 8
 
2.5%
읍 7
 
2.2%
안 7
 
2.2%
광 6
 
1.9%
해 6
 
1.9%
Other values (94) 187
59.2%
Decimal Number
ValueCountFrequency (%)
1 19
18.6%
2 18
17.6%
9 14
13.7%
3 13
12.7%
5 11
10.8%
4 8
7.8%
8 7
 
6.9%
7 6
 
5.9%
0 4
 
3.9%
6 2
 
2.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
59.8%
Common 212
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 25
 
7.9%
군 24
 
7.6%
길 22
 
7.0%
로 13
 
4.1%
시 11
 
3.5%
도 8
 
2.5%
읍 7
 
2.2%
안 7
 
2.2%
광 6
 
1.9%
해 6
 
1.9%
Other values (94) 187
59.2%
Common
ValueCountFrequency (%)
99
46.7%
1 19
 
9.0%
2 18
 
8.5%
9 14
 
6.6%
3 13
 
6.1%
5 11
 
5.2%
- 11
 
5.2%
4 8
 
3.8%
8 7
 
3.3%
7 6
 
2.8%
Other values (2) 6
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
59.8%
ASCII 212
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
46.7%
1 19
 
9.0%
2 18
 
8.5%
9 14
 
6.6%
3 13
 
6.1%
5 11
 
5.2%
- 11
 
5.2%
4 8
 
3.8%
8 7
 
3.3%
7 6
 
2.8%
Other values (2) 6
 
2.8%
Hangul
ValueCountFrequency (%)
면 25
 
7.9%
군 24
 
7.6%
길 22
 
7.0%
로 13
 
4.1%
시 11
 
3.5%
도 8
 
2.5%
읍 7
 
2.2%
안 7
 
2.2%
광 6
 
1.9%
해 6
 
1.9%
Other values (94) 187
59.2%

위도
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.800433
Minimum34.159107
Maximum35.354768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T10:03:27.876808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.159107
5-th percentile34.235975
Q134.482991
median34.897201
Q335.036544
95-th percentile35.23463
Maximum35.354768
Range1.1956611
Interquartile range (IQR)0.55355253

Descriptive statistics

Standard deviation0.32884808
Coefficient of variation (CV)0.0094495399
Kurtosis-0.82599902
Mean34.800433
Median Absolute Deviation (MAD)0.18643329
Skewness-0.47683385
Sum1148.4143
Variance0.10814106
MonotonicityNot monotonic
2023-12-13T10:03:27.979959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
34.64141375 1
 
3.0%
35.19657907 1
 
3.0%
34.84598363 1
 
3.0%
35.04990519 1
 
3.0%
34.96461928 1
 
3.0%
34.92674285 1
 
3.0%
35.08363393 1
 
3.0%
35.35476768 1
 
3.0%
34.45022999 1
 
3.0%
34.87979346 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
34.15910657 1
3.0%
34.16105592 1
3.0%
34.28592119 1
3.0%
34.31718998 1
3.0%
34.37991936 1
3.0%
34.43643188 1
3.0%
34.45022999 1
3.0%
34.47030791 1
3.0%
34.48299105 1
3.0%
34.5808164 1
3.0%
ValueCountFrequency (%)
35.35476768 1
3.0%
35.29170652 1
3.0%
35.19657907 1
3.0%
35.08899581 1
3.0%
35.08363393 1
3.0%
35.07846502 1
3.0%
35.05839604 1
3.0%
35.04990519 1
3.0%
35.03654358 1
3.0%
35.03013004 1
3.0%

경도
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.86112
Minimum126.08202
Maximum127.78178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T10:03:28.076937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.08202
5-th percentile126.26414
Q1126.46957
median126.72842
Q3127.22746
95-th percentile127.73493
Maximum127.78178
Range1.6997654
Interquartile range (IQR)0.7578892

Descriptive statistics

Standard deviation0.48858021
Coefficient of variation (CV)0.0038512998
Kurtosis-0.82089993
Mean126.86112
Median Absolute Deviation (MAD)0.3037238
Skewness0.51704115
Sum4186.417
Variance0.23871062
MonotonicityNot monotonic
2023-12-13T10:03:28.175821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
127.7817817 1
 
3.0%
126.4344349 1
 
3.0%
126.6442461 1
 
3.0%
126.3734463 1
 
3.0%
126.4246992 1
 
3.0%
126.5052831 1
 
3.0%
126.449248 1
 
3.0%
126.4695661 1
 
3.0%
127.0342122 1
 
3.0%
127.3465079 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
126.0820163 1
3.0%
126.2025909 1
3.0%
126.3051771 1
3.0%
126.3355878 1
3.0%
126.3734463 1
3.0%
126.4246992 1
3.0%
126.4344349 1
3.0%
126.449248 1
3.0%
126.4695661 1
3.0%
126.5052831 1
3.0%
ValueCountFrequency (%)
127.7817817 1
3.0%
127.7566092 1
3.0%
127.7204738 1
3.0%
127.6688541 1
3.0%
127.5985927 1
3.0%
127.3465079 1
3.0%
127.3190234 1
3.0%
127.313469 1
3.0%
127.2274553 1
3.0%
127.1691023 1
3.0%

데이터 기준날짜
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-08-09 00:00:00
Maximum2023-08-09 00:00:00
2023-12-13T10:03:28.253377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:28.322058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T10:03:23.985059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:22.603586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:22.940746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.296178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.630701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:24.049728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:22.662456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.019968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.363416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.690989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:24.116837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:22.737683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.090026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.430032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.760982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:24.188359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:22.802432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.158635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.494174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.833376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:24.268041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:22.867036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.224536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.557989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T10:03:23.905040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T10:03:28.380460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군마을명특산물조성차수인구수가구수마을유형체험프로그램소재지위도경도
시군1.0001.0001.0000.0000.6650.7570.3240.9761.0000.8660.818
마을명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
특산물1.0001.0001.0000.9540.9581.0001.0000.9951.0000.8800.958
조성차수0.0001.0000.9541.0000.0000.0000.4250.9291.0000.0000.182
인구수0.6651.0000.9580.0001.0000.9390.0000.9291.0000.0000.000
가구수0.7571.0001.0000.0000.9391.0000.2390.0001.0000.4900.000
마을유형0.3241.0001.0000.4250.0000.2391.0001.0001.0000.0000.414
체험프로그램0.9761.0000.9950.9290.9290.0001.0001.0001.0000.9101.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.8661.0000.8800.0000.0000.4900.0000.9101.0001.0000.000
경도0.8181.0000.9580.1820.0000.0000.4141.0001.0000.0001.000
2023-12-13T10:03:28.474003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성차수인구수가구수위도경도마을유형
조성차수1.000-0.495-0.552-0.350-0.3000.412
인구수-0.4951.0000.888-0.0140.1520.000
가구수-0.5520.8881.000-0.0140.1750.128
위도-0.350-0.014-0.0141.0000.1730.000
경도-0.3000.1520.1750.1731.0000.259
마을유형0.4120.0000.1280.0000.2591.000

Missing values

2023-12-13T10:03:24.377789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T10:03:24.512830image/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

시군마을명특산물조성차수인구수가구수마을유형체험프로그램소재지위도경도데이터 기준날짜
0여수시돌산갓김치마을돌산갓김치, 고들빼기2788378전자상거래/체험두문어촌체험여수시 돌산읍돌산로 209534.641414127.7817822023-08-09
1순천시낙안배이곡마을배, 매실, 목장요구르트220569전자상거래/체험낙안배따기체험순천시 낙안면 이곡1길 4934.879793127.3465082023-08-09
2나주시배꽃마을배, 송이버섯2379192전자상거래/체험마늘캐기나주시 다시면 영동리 422-135.017031126.6385062023-08-09
3나주시봉황황토마을쌀, 배, 보리쌀3291140전자상거래/체험딸기, 고구마체험나주시 봉황면 봉화로 75334.954297126.7796822023-08-09
4나주시나주평야마을쌀, 딸기, 황토팩4147102전자상거래/체험도자기, 자연염색체험나주시 남평읍 방축2길 21-835.03013126.8336792023-08-09
5나주시송촌한라봉마을한라봉, 배612567전자상거래/체험매실, 방울토마토체험나주시 송현길 6935.058396126.7284232023-08-09
6광양시섬진강재첩마을채소, 단감, 토마토1663327전자상거래/체험토마토수확, 매실체험광양시 진월면 섬진강매화로 83035.036544127.7566092023-08-09
7광양시고로쇠마을고로쇠, 펴고, 한봉312372전자상거래<NA>광양시 옥룡면 신재로 159835.088996127.5985932023-08-09
8광양시매화마을매실, 작설차, 재첩4430180전자상거래/체험고사리, 매실체험광양시 다압면 목길 34-235.078465127.7204742023-08-09
9광양시옥실마을매실, 밤, 고사리, 감1321567전자상거래<NA>광양시 옥곡면 대죽1리35.00026127.6688542023-08-09
시군마을명특산물조성차수인구수가구수마을유형체험프로그램소재지위도경도데이터 기준날짜
23함평군해수찜갯벌마을석화2647307전자상거래/체험숙박체험함평군 함평읍 돌머리길 58935.083634126.4492482023-08-09
24영광군굴비마을굴비211236전자상거래<NA>영광군 법성면 굴비로4길35.354768126.4695662023-08-09
25영광군용암마을찰보리, 태양고추77368전자상거래/체험석창포샴푸, 초콜릿만들기(농촌체험휴양마을 지정)영광군 군남면 육창로 1길 50-135.196579126.4344352023-08-09
26완도군금당도갯벌섬마을전복, 미역, 다시마318096전자상거래/체험바지락캐기체험완도군 금당면 금당해변로 13334.45023127.0342122023-08-09
27완도군개매기마을전복, 미역, 다시마4250114전자상거래/체험맨손고기잡이체험완도군 소안면 북로 183번길 3234.161056126.6478942023-08-09
28완도군보길도예송마을미역, 다시마, 전복6316124전자상거래/체험전복잡기체험완도군 보길면 예송로 278번길 25-234.159107126.5596522023-08-09
29진도군소포검정쌀마을검정쌀, 대파, 잡곡류4275146전자상거래/체험남도소리진도군 지산면 소포길 119-434.482991126.2025912023-08-09
30진도군접도웰빙마을멸치, 홍새우, 미역516972전자상거래/체험등산로, 선상체험진도군 의신면 금갑리 수품길 52-234.379919126.3051772023-08-09
31진도군행복한섬마을톳, 모자반, 멸치811062전자상거래/체험한옥민박진도군 조도면 신전길 14-134.285921126.0820162023-08-09
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