Overview

Dataset statistics

Number of variables7
Number of observations99
Missing cells168
Missing cells (%)24.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory59.3 B

Variable types

Numeric2
Text3
Categorical1
DateTime1

Dataset

Description경상남도 거창군 농업작목반 현황에 대한 데이터로 작목반 명칭, 인원, 소재지도로명주소, 소재지지번주소, 주요생산품을 제공합니다
Author경상남도 거창군
URLhttps://www.data.go.kr/data/15040351/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 주요생산품High correlation
주요생산품 is highly overall correlated with 순번High correlation
소재지도로명주소 has 84 (84.8%) missing valuesMissing
소재지지번주소 has 84 (84.8%) missing valuesMissing
순번 has unique valuesUnique
작목반명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:39:30.198333
Analysis finished2023-12-12 06:39:31.367795
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T15:39:31.476106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2023-12-12T15:39:31.651457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%

작목반명칭
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T15:39:31.937918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.8080808
Min length5

Characters and Unicode

Total characters872
Distinct characters146
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st row남거창사과공선회
2nd row가북사과작목반
3rd row가지리영농조합법인
4th row감악산사과포도영농조합법인
5th row거창사과연구회
ValueCountFrequency (%)
양파작목반 8
 
6.7%
작목반 4
 
3.4%
거창 2
 
1.7%
남거창사과공선회 1
 
0.8%
동거창농협딸기시설작목회 1
 
0.8%
아림화훼작목반 1
 
0.8%
아람딸기작목반 1
 
0.8%
햇살애작목반 1
 
0.8%
정담은딸기작목회 1
 
0.8%
다함께잘사는영농조합 1
 
0.8%
Other values (98) 98
82.4%
2023-12-12T15:39:32.341665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
작 70
 
8.0%
목 70
 
8.0%
반 65
 
7.5%
사 39
 
4.5%
과 36
 
4.1%
농 25
 
2.9%
조 22
 
2.5%
창 21
 
2.4%
거 21
 
2.4%
20
 
2.3%
Other values (136) 483
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
96.2%
Space Separator 20
 
2.3%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Decimal Number 3
 
0.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
작 70
 
8.3%
목 70
 
8.3%
반 65
 
7.7%
사 39
 
4.6%
과 36
 
4.3%
농 25
 
3.0%
조 22
 
2.6%
창 21
 
2.5%
거 21
 
2.5%
합 19
 
2.3%
Other values (128) 451
53.8%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
2 1
33.3%
1 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
96.2%
Common 31
 
3.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
작 70
 
8.3%
목 70
 
8.3%
반 65
 
7.7%
사 39
 
4.6%
과 36
 
4.3%
농 25
 
3.0%
조 22
 
2.6%
창 21
 
2.5%
거 21
 
2.5%
합 19
 
2.3%
Other values (128) 451
53.8%
Common
ValueCountFrequency (%)
20
64.5%
( 4
 
12.9%
) 4
 
12.9%
3 1
 
3.2%
2 1
 
3.2%
1 1
 
3.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
96.2%
ASCII 33
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
작 70
 
8.3%
목 70
 
8.3%
반 65
 
7.7%
사 39
 
4.6%
과 36
 
4.3%
농 25
 
3.0%
조 22
 
2.6%
창 21
 
2.5%
거 21
 
2.5%
합 19
 
2.3%
Other values (128) 451
53.8%
ASCII
ValueCountFrequency (%)
20
60.6%
( 4
 
12.1%
) 4
 
12.1%
A 1
 
3.0%
3 1
 
3.0%
2 1
 
3.0%
1 1
 
3.0%
P 1
 
3.0%

인원(명)
Real number (ℝ)

Distinct43
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.020202
Minimum2
Maximum380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T15:39:32.492815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.9
Q19
median15
Q330
95-th percentile85.9
Maximum380
Range378
Interquartile range (IQR)21

Descriptive statistics

Standard deviation43.771899
Coefficient of variation (CV)1.562155
Kurtosis43.057711
Mean28.020202
Median Absolute Deviation (MAD)8
Skewness5.7499893
Sum2774
Variance1915.9792
MonotonicityNot monotonic
2023-12-12T15:39:32.622598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
10 8
 
8.1%
7 6
 
6.1%
18 5
 
5.1%
5 5
 
5.1%
15 5
 
5.1%
12 5
 
5.1%
9 5
 
5.1%
17 4
 
4.0%
22 3
 
3.0%
30 3
 
3.0%
Other values (33) 50
50.5%
ValueCountFrequency (%)
2 1
 
1.0%
3 3
 
3.0%
4 1
 
1.0%
5 5
5.1%
6 3
 
3.0%
7 6
6.1%
8 2
 
2.0%
9 5
5.1%
10 8
8.1%
11 2
 
2.0%
ValueCountFrequency (%)
380 1
1.0%
140 1
1.0%
102 1
1.0%
100 1
1.0%
94 1
1.0%
85 1
1.0%
75 1
1.0%
70 2
2.0%
66 1
1.0%
65 1
1.0%

소재지도로명주소
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing84
Missing (%)84.8%
Memory size924.0 B
2023-12-12T15:39:33.164244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.133333
Min length19

Characters and Unicode

Total characters317
Distinct characters47
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

Unique13 ?
Unique (%)86.7%

Sample

1st row경상남도 거창군 거창읍 가조가야로 117
2nd row경상남도 거창군 거창읍 구례길 31
3rd row경상남도 거창군 거창읍 주곡로 41
4th row경상남도 거창군 거창읍 거열로 224
5th row경상남도 거창군 거창읍 양평1길 324-10
ValueCountFrequency (%)
경상남도 15
20.0%
거창군 15
20.0%
거창읍 7
 
9.3%
가조면 4
 
5.3%
가조가야로 4
 
5.3%
1051 2
 
2.7%
양평1길 2
 
2.7%
가북로 1
 
1.3%
신기1길 1
 
1.3%
6 1
 
1.3%
Other values (23) 23
30.7%
2023-12-12T15:39:33.461127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
18.9%
거 24
 
7.6%
창 22
 
6.9%
남 17
 
5.4%
상 16
 
5.0%
경 15
 
4.7%
도 15
 
4.7%
군 15
 
4.7%
1 14
 
4.4%
가 14
 
4.4%
Other values (37) 105
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
65.0%
Space Separator 60
 
18.9%
Decimal Number 49
 
15.5%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 24
11.7%
창 22
10.7%
남 17
 
8.3%
상 16
 
7.8%
경 15
 
7.3%
도 15
 
7.3%
군 15
 
7.3%
가 14
 
6.8%
로 10
 
4.9%
조 8
 
3.9%
Other values (25) 50
24.3%
Decimal Number
ValueCountFrequency (%)
1 14
28.6%
2 8
16.3%
3 7
14.3%
0 5
 
10.2%
4 5
 
10.2%
7 3
 
6.1%
6 2
 
4.1%
8 2
 
4.1%
5 2
 
4.1%
9 1
 
2.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
65.0%
Common 111
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 24
11.7%
창 22
10.7%
남 17
 
8.3%
상 16
 
7.8%
경 15
 
7.3%
도 15
 
7.3%
군 15
 
7.3%
가 14
 
6.8%
로 10
 
4.9%
조 8
 
3.9%
Other values (25) 50
24.3%
Common
ValueCountFrequency (%)
60
54.1%
1 14
 
12.6%
2 8
 
7.2%
3 7
 
6.3%
0 5
 
4.5%
4 5
 
4.5%
7 3
 
2.7%
6 2
 
1.8%
- 2
 
1.8%
8 2
 
1.8%
Other values (2) 3
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
65.0%
ASCII 111
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
54.1%
1 14
 
12.6%
2 8
 
7.2%
3 7
 
6.3%
0 5
 
4.5%
4 5
 
4.5%
7 3
 
2.7%
6 2
 
1.8%
- 2
 
1.8%
8 2
 
1.8%
Other values (2) 3
 
2.7%
Hangul
ValueCountFrequency (%)
거 24
11.7%
창 22
10.7%
남 17
 
8.3%
상 16
 
7.8%
경 15
 
7.3%
도 15
 
7.3%
군 15
 
7.3%
가 14
 
6.8%
로 10
 
4.9%
조 8
 
3.9%
Other values (25) 50
24.3%

소재지지번주소
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing84
Missing (%)84.8%
Memory size924.0 B
2023-12-12T15:39:33.649270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length22.266667
Min length20

Characters and Unicode

Total characters334
Distinct characters43
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

Unique13 ?
Unique (%)86.7%

Sample

1st row경상남도 거창군 거창읍 양평리 574-6
2nd row경상남도 거창군 거창읍 학리 1147-117
3rd row경상남도 거창군 거창읍 대동리 315
4th row경상남도 거창군 거창읍 대동리 672-4
5th row경상남도 거창군 거창읍 학리 1047-77
ValueCountFrequency (%)
경상남도 15
20.0%
거창군 15
20.0%
거창읍 7
 
9.3%
가조면 4
 
5.3%
마상리 3
 
4.0%
학리 3
 
4.0%
697-1 2
 
2.7%
대동리 2
 
2.7%
580-15 1
 
1.3%
1040-9 1
 
1.3%
Other values (22) 22
29.3%
2023-12-12T15:39:34.046404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
18.0%
거 22
 
6.6%
창 22
 
6.6%
상 19
 
5.7%
남 17
 
5.1%
1 17
 
5.1%
경 15
 
4.5%
도 15
 
4.5%
군 15
 
4.5%
리 15
 
4.5%
Other values (33) 117
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
57.5%
Decimal Number 70
 
21.0%
Space Separator 60
 
18.0%
Dash Punctuation 12
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 22
11.5%
창 22
11.5%
상 19
9.9%
남 17
8.9%
경 15
7.8%
도 15
7.8%
군 15
7.8%
리 15
7.8%
면 8
 
4.2%
읍 7
 
3.6%
Other values (21) 37
19.3%
Decimal Number
ValueCountFrequency (%)
1 17
24.3%
7 11
15.7%
4 8
11.4%
0 6
 
8.6%
5 6
 
8.6%
9 6
 
8.6%
6 6
 
8.6%
8 5
 
7.1%
3 3
 
4.3%
2 2
 
2.9%
Space Separator
ValueCountFrequency (%)
60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
57.5%
Common 142
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 22
11.5%
창 22
11.5%
상 19
9.9%
남 17
8.9%
경 15
7.8%
도 15
7.8%
군 15
7.8%
리 15
7.8%
면 8
 
4.2%
읍 7
 
3.6%
Other values (21) 37
19.3%
Common
ValueCountFrequency (%)
60
42.3%
1 17
 
12.0%
- 12
 
8.5%
7 11
 
7.7%
4 8
 
5.6%
0 6
 
4.2%
5 6
 
4.2%
9 6
 
4.2%
6 6
 
4.2%
8 5
 
3.5%
Other values (2) 5
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
57.5%
ASCII 142
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
42.3%
1 17
 
12.0%
- 12
 
8.5%
7 11
 
7.7%
4 8
 
5.6%
0 6
 
4.2%
5 6
 
4.2%
9 6
 
4.2%
6 6
 
4.2%
8 5
 
3.5%
Other values (2) 5
 
3.5%
Hangul
ValueCountFrequency (%)
거 22
11.5%
창 22
11.5%
상 19
9.9%
남 17
8.9%
경 15
7.8%
도 15
7.8%
군 15
7.8%
리 15
7.8%
면 8
 
4.2%
읍 7
 
3.6%
Other values (21) 37
19.3%

주요생산품
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
사과
46 
딸기
25 
양파
9 
쌀
8 
오미자
6 
Other values (4)
5 

Length

Max length3
Median length2
Mean length1.959596
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
사과 46
46.5%
딸기 25
25.3%
양파 9
 
9.1%
쌀 8
 
8.1%
오미자 6
 
6.1%
콩 2
 
2.0%
화훼 1
 
1.0%
약초 1
 
1.0%
감자 1
 
1.0%

Length

2023-12-12T15:39:34.227297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:34.374400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사과 46
46.5%
딸기 25
25.3%
양파 9
 
9.1%
쌀 8
 
8.1%
오미자 6
 
6.1%
콩 2
 
2.0%
화훼 1
 
1.0%
약초 1
 
1.0%
감자 1
 
1.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T15:39:34.575243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:39:34.689138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:39:30.777595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:39:30.538353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:39:30.887226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:39:30.653961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:39:34.774657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번작목반명칭인원(명)소재지도로명주소소재지지번주소주요생산품
순번1.0001.0000.3191.0001.0000.831
작목반명칭1.0001.0001.0001.0001.0001.000
인원(명)0.3191.0001.0000.6190.6190.061
소재지도로명주소1.0001.0000.6191.0001.0001.000
소재지지번주소1.0001.0000.6191.0001.0001.000
주요생산품0.8311.0000.0611.0001.0001.000
2023-12-12T15:39:34.873544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번인원(명)주요생산품
순번1.000-0.2720.568
인원(명)-0.2721.0000.018
주요생산품0.5680.0181.000

Missing values

2023-12-12T15:39:31.062479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:39:31.202777image/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.
2023-12-12T15:39:31.315628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번작목반명칭인원(명)소재지도로명주소소재지지번주소주요생산품데이터기준일자
01남거창사과공선회18<NA><NA>사과2023-10-31
12가북사과작목반45<NA><NA>사과2023-10-31
23가지리영농조합법인45<NA><NA>사과2023-10-31
34감악산사과포도영농조합법인102<NA><NA>사과2023-10-31
45거창사과연구회15<NA><NA>사과2023-10-31
56고제삼봉산사과영농조합법인23<NA><NA>사과2023-10-31
67고제사과영농조합법인100<NA><NA>사과2023-10-31
78고제원봉계사과작목반10<NA><NA>사과2023-10-31
89구산사과작목반23<NA><NA>사과2023-10-31
910남하작목반36<NA><NA>사과2023-10-31
순번작목반명칭인원(명)소재지도로명주소소재지지번주소주요생산품데이터기준일자
8990천동친환경쌀작목반15<NA><NA>쌀2023-10-31
9091대사친환경쌀작목반7<NA><NA>쌀2023-10-31
9192가조친환경쌀작목반(1단지)46<NA><NA>쌀2023-10-31
9293가조친환경쌀작목반(2단지)30<NA><NA>쌀2023-10-31
9394가조친환경쌀작목반(3단지)70<NA><NA>쌀2023-10-31
9495가북감자출하회30<NA><NA>감자2023-10-31
9596위천콩작목반10<NA><NA>콩2023-10-31
9697가북콩작목반10<NA><NA>콩2023-10-31
9798자하친환경쌀작목반23<NA><NA>쌀2023-10-31
9899신기친환경쌀작목반17<NA><NA>쌀2023-10-31