Overview

Dataset statistics

Number of variables8
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory72.5 B

Variable types

Categorical1
Text1
Numeric6

Dataset

Description여성경영주, 노동시간, 농가수 통계자료 등 여성농업인실태조사 (2018)
Author농림축산식품부
URLhttps://www.data.go.kr/data/3036361/fileData.do

Alerts

25퍼센트 미만 (백분율) is highly overall correlated with 75퍼센트 이상 (백분율) and 1 other fieldsHigh correlation
25퍼센트_50퍼센트 미만 (백분율) is highly overall correlated with 75퍼센트 이상 (백분율) and 1 other fieldsHigh correlation
50퍼센트_75퍼센트 미만 (백분율) is highly overall correlated with 75퍼센트 이상 (백분율) and 1 other fieldsHigh correlation
75퍼센트 이상 (백분율) is highly overall correlated with 25퍼센트 미만 (백분율) and 3 other fieldsHigh correlation
평균 (백분율) is highly overall correlated with 25퍼센트 미만 (백분율) and 3 other fieldsHigh correlation
구분(2) has unique valuesUnique
25퍼센트 미만 (백분율) has 1 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-12 18:10:10.341794
Analysis finished2023-12-12 18:10:14.431404
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분(1)
Categorical

Distinct10
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
거주지별
7 
주력품목
7 
월평균지출액
6 
농산물판매금액
6 
연령별
5 
Other values (5)
21 

Length

Max length7
Median length4
Mean length4.3846154
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거주지별 7
13.5%
주력품목 7
13.5%
월평균지출액 6
11.5%
농산물판매금액 6
11.5%
연령별 5
9.6%
가족수 5
9.6%
영농규모 5
9.6%
경작면적 5
9.6%
가구형태 3
5.8%
혼인상태 3
5.8%

Length

2023-12-13T03:10:14.530930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:10:14.691578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거주지별 7
13.5%
주력품목 7
13.5%
월평균지출액 6
11.5%
농산물판매금액 6
11.5%
연령별 5
9.6%
가족수 5
9.6%
영농규모 5
9.6%
경작면적 5
9.6%
가구형태 3
5.8%
혼인상태 3
5.8%

구분(2)
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T03:10:14.950177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.25
Min length2

Characters and Unicode

Total characters325
Distinct characters65
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row30대 이하
2nd row40대
3rd row50대
4th row60대
5th row70대 이상
ValueCountFrequency (%)
미만 14
 
19.4%
이상 5
 
6.9%
30대 1
 
1.4%
시설채소 1
 
1.4%
화훼/특작 1
 
1.4%
제주권 1
 
1.4%
소규모 1
 
1.4%
중소규모 1
 
1.4%
중규모 1
 
1.4%
중대규모 1
 
1.4%
Other values (45) 45
62.5%
2023-12-13T03:10:15.357255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 71
21.8%
만 34
 
10.5%
원 21
 
6.5%
20
 
6.2%
미 15
 
4.6%
5 12
 
3.7%
~ 11
 
3.4%
1 9
 
2.8%
평 8
 
2.5%
3 8
 
2.5%
Other values (55) 116
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
54.8%
Decimal Number 113
34.8%
Space Separator 20
 
6.2%
Math Symbol 11
 
3.4%
Other Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
만 34
19.1%
원 21
 
11.8%
미 15
 
8.4%
평 8
 
4.5%
대 8
 
4.5%
이 7
 
3.9%
권 7
 
3.9%
상 5
 
2.8%
모 5
 
2.8%
규 5
 
2.8%
Other values (43) 63
35.4%
Decimal Number
ValueCountFrequency (%)
0 71
62.8%
5 12
 
10.6%
1 9
 
8.0%
3 8
 
7.1%
2 5
 
4.4%
6 3
 
2.7%
4 2
 
1.8%
9 2
 
1.8%
7 1
 
0.9%
Space Separator
ValueCountFrequency (%)
20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
54.8%
Common 147
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
만 34
19.1%
원 21
 
11.8%
미 15
 
8.4%
평 8
 
4.5%
대 8
 
4.5%
이 7
 
3.9%
권 7
 
3.9%
상 5
 
2.8%
모 5
 
2.8%
규 5
 
2.8%
Other values (43) 63
35.4%
Common
ValueCountFrequency (%)
0 71
48.3%
20
 
13.6%
5 12
 
8.2%
~ 11
 
7.5%
1 9
 
6.1%
3 8
 
5.4%
2 5
 
3.4%
6 3
 
2.0%
/ 3
 
2.0%
4 2
 
1.4%
Other values (2) 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
54.8%
ASCII 147
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 71
48.3%
20
 
13.6%
5 12
 
8.2%
~ 11
 
7.5%
1 9
 
6.1%
3 8
 
5.4%
2 5
 
3.4%
6 3
 
2.0%
/ 3
 
2.0%
4 2
 
1.4%
Other values (2) 3
 
2.0%
Hangul
ValueCountFrequency (%)
만 34
19.1%
원 21
 
11.8%
미 15
 
8.4%
평 8
 
4.5%
대 8
 
4.5%
이 7
 
3.9%
권 7
 
3.9%
상 5
 
2.8%
모 5
 
2.8%
규 5
 
2.8%
Other values (43) 63
35.4%

2018 사례수 (명)
Real number (ℝ)

Distinct49
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.30769
Minimum6
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T03:10:15.512485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile41.4
Q1112
median255
Q3394.5
95-th percentile819.7
Maximum1179
Range1173
Interquartile range (IQR)282.5

Descriptive statistics

Standard deviation249.02622
Coefficient of variation (CV)0.82375087
Kurtosis2.553053
Mean302.30769
Median Absolute Deviation (MAD)143
Skewness1.4699813
Sum15720
Variance62014.06
MonotonicityNot monotonic
2023-12-13T03:10:15.674098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
81 2
 
3.8%
334 2
 
3.8%
112 2
 
3.8%
66 1
 
1.9%
754 1
 
1.9%
429 1
 
1.9%
263 1
 
1.9%
91 1
 
1.9%
37 1
 
1.9%
611 1
 
1.9%
Other values (39) 39
75.0%
ValueCountFrequency (%)
6 1
1.9%
13 1
1.9%
37 1
1.9%
45 1
1.9%
48 1
1.9%
62 1
1.9%
66 1
1.9%
81 2
3.8%
91 1
1.9%
106 1
1.9%
ValueCountFrequency (%)
1179 1
1.9%
937 1
1.9%
900 1
1.9%
754 1
1.9%
611 1
1.9%
579 1
1.9%
569 1
1.9%
540 1
1.9%
481 1
1.9%
469 1
1.9%

25퍼센트 미만 (백분율)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct43
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7461538
Minimum0
Maximum34.1
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T03:10:15.866463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.89
Q15.975
median7.95
Q310.25
95-th percentile18.115
Maximum34.1
Range34.1
Interquartile range (IQR)4.275

Descriptive statistics

Standard deviation5.659885
Coefficient of variation (CV)0.64712846
Kurtosis7.0994475
Mean8.7461538
Median Absolute Deviation (MAD)2.1
Skewness2.0167693
Sum454.8
Variance32.034299
MonotonicityNot monotonic
2023-12-13T03:10:16.033389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7.1 3
 
5.8%
11.2 2
 
3.8%
8.2 2
 
3.8%
9.8 2
 
3.8%
8.5 2
 
3.8%
6.9 2
 
3.8%
0.9 2
 
3.8%
5.9 2
 
3.8%
2.7 1
 
1.9%
7.9 1
 
1.9%
Other values (33) 33
63.5%
ValueCountFrequency (%)
0.0 1
1.9%
0.9 2
3.8%
2.7 1
1.9%
2.9 1
1.9%
3.1 1
1.9%
3.3 1
1.9%
3.4 1
1.9%
3.6 1
1.9%
4.5 1
1.9%
5.6 1
1.9%
ValueCountFrequency (%)
34.1 1
1.9%
20.7 1
1.9%
19.6 1
1.9%
16.9 1
1.9%
15.9 1
1.9%
15.2 1
1.9%
14.7 1
1.9%
13.9 1
1.9%
11.2 2
3.8%
10.8 1
1.9%

25퍼센트_50퍼센트 미만 (백분율)
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.190385
Minimum1.9
Maximum56.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T03:10:16.211931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile11.95
Q131.15
median41.05
Q346.35
95-th percentile52.515
Maximum56.3
Range54.4
Interquartile range (IQR)15.2

Descriptive statistics

Standard deviation12.44313
Coefficient of variation (CV)0.32581839
Kurtosis1.7152744
Mean38.190385
Median Absolute Deviation (MAD)6.95
Skewness-1.286992
Sum1985.9
Variance154.83147
MonotonicityNot monotonic
2023-12-13T03:10:16.357806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
39.7 2
 
3.8%
44.6 2
 
3.8%
1.9 2
 
3.8%
43.5 2
 
3.8%
27.3 2
 
3.8%
45.8 2
 
3.8%
34.0 1
 
1.9%
27.1 1
 
1.9%
33.0 1
 
1.9%
40.7 1
 
1.9%
Other values (36) 36
69.2%
ValueCountFrequency (%)
1.9 2
3.8%
5.9 1
1.9%
16.9 1
1.9%
24.7 1
1.9%
25.6 1
1.9%
26.6 1
1.9%
26.9 1
1.9%
27.1 1
1.9%
27.3 2
3.8%
29.3 1
1.9%
ValueCountFrequency (%)
56.3 1
1.9%
55.1 1
1.9%
54.0 1
1.9%
51.3 1
1.9%
50.2 1
1.9%
49.9 1
1.9%
49.6 1
1.9%
48.7 1
1.9%
48.2 1
1.9%
47.9 1
1.9%

50퍼센트_75퍼센트 미만 (백분율)
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.407692
Minimum2.7
Maximum49.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T03:10:16.518205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile8.715
Q121.725
median32.05
Q335.875
95-th percentile45.19
Maximum49.7
Range47
Interquartile range (IQR)14.15

Descriptive statistics

Standard deviation11.210357
Coefficient of variation (CV)0.38120491
Kurtosis-0.079232364
Mean29.407692
Median Absolute Deviation (MAD)5.55
Skewness-0.60809213
Sum1529.2
Variance125.6721
MonotonicityNot monotonic
2023-12-13T03:10:16.711828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
15.7 2
 
3.8%
37.5 2
 
3.8%
2.7 2
 
3.8%
35.6 2
 
3.8%
17.1 1
 
1.9%
36.6 1
 
1.9%
47.7 1
 
1.9%
29.7 1
 
1.9%
32.0 1
 
1.9%
23.9 1
 
1.9%
Other values (38) 38
73.1%
ValueCountFrequency (%)
2.7 2
3.8%
6.9 1
1.9%
10.2 1
1.9%
12.0 1
1.9%
15.5 1
1.9%
15.7 2
3.8%
17.1 1
1.9%
18.4 1
1.9%
18.8 1
1.9%
19.4 1
1.9%
ValueCountFrequency (%)
49.7 1
1.9%
47.7 1
1.9%
45.3 1
1.9%
45.1 1
1.9%
44.2 1
1.9%
43.7 1
1.9%
39.7 1
1.9%
38.4 1
1.9%
37.5 2
3.8%
37.4 1
1.9%

75퍼센트 이상 (백분율)
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.998077
Minimum0.5
Maximum94.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T03:10:17.198657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile3.065
Q15.375
median16.95
Q328.925
95-th percentile74.55
Maximum94.5
Range94
Interquartile range (IQR)23.55

Descriptive statistics

Standard deviation23.33883
Coefficient of variation (CV)1.0148166
Kurtosis2.4482814
Mean22.998077
Median Absolute Deviation (MAD)11.6
Skewness1.6568809
Sum1195.9
Variance544.70098
MonotonicityNot monotonic
2023-12-13T03:10:17.362541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
3.2 2
 
3.8%
94.5 2
 
3.8%
8.7 2
 
3.8%
18.1 2
 
3.8%
5.3 2
 
3.8%
17.3 1
 
1.9%
10.0 1
 
1.9%
3.6 1
 
1.9%
0.5 1
 
1.9%
17.9 1
 
1.9%
Other values (37) 37
71.2%
ValueCountFrequency (%)
0.5 1
1.9%
2.3 1
1.9%
2.9 1
1.9%
3.2 2
3.8%
3.6 1
1.9%
3.7 1
1.9%
3.8 1
1.9%
4.0 1
1.9%
4.1 1
1.9%
5.0 1
1.9%
ValueCountFrequency (%)
94.5 2
3.8%
83.9 1
1.9%
66.9 1
1.9%
61.1 1
1.9%
50.7 1
1.9%
47.2 1
1.9%
46.5 1
1.9%
41.1 1
1.9%
40.5 1
1.9%
39.1 1
1.9%

평균 (백분율)
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.103846
Minimum32.7
Maximum95.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T03:10:17.530758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.7
5-th percentile40.4
Q143.575
median49.95
Q357.45
95-th percentile83.26
Maximum95.6
Range62.9
Interquartile range (IQR)13.875

Descriptive statistics

Standard deviation13.779766
Coefficient of variation (CV)0.25948715
Kurtosis2.5516077
Mean53.103846
Median Absolute Deviation (MAD)6.65
Skewness1.6006865
Sum2761.4
Variance189.88195
MonotonicityNot monotonic
2023-12-13T03:10:17.692235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
50.4 2
 
3.8%
95.6 2
 
3.8%
40.4 2
 
3.8%
44.3 2
 
3.8%
51.4 2
 
3.8%
32.7 1
 
1.9%
42.4 1
 
1.9%
59.9 1
 
1.9%
52.3 1
 
1.9%
45.2 1
 
1.9%
Other values (37) 37
71.2%
ValueCountFrequency (%)
32.7 1
1.9%
38.9 1
1.9%
40.4 2
3.8%
41.3 1
1.9%
41.7 1
1.9%
42.3 1
1.9%
42.4 1
1.9%
42.5 1
1.9%
43.0 1
1.9%
43.1 1
1.9%
ValueCountFrequency (%)
95.6 2
3.8%
89.2 1
1.9%
78.4 1
1.9%
72.6 1
1.9%
69.6 1
1.9%
66.9 1
1.9%
65.9 1
1.9%
63.9 1
1.9%
63.7 1
1.9%
62.9 1
1.9%

Interactions

2023-12-13T03:10:13.484836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:10.645592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.268722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.856545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.403276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.944520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.576115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:10.733109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.371218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.957554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.485402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.034578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.680155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:10.839624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.472133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.055742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.585428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.124194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.783964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:10.962781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.571913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.149294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.693863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.210123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.890572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.063218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.661484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.242161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.777204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.309772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.998663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.164102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:11.755354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.320572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:12.857528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:10:13.387667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:10:17.809072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(1)구분(2)2018 사례수 (명)25퍼센트 미만 (백분율)25퍼센트_50퍼센트 미만 (백분율)50퍼센트_75퍼센트 미만 (백분율)75퍼센트 이상 (백분율)평균 (백분율)
구분(1)1.0001.0000.1890.0000.0000.0000.6500.622
구분(2)1.0001.0001.0001.0001.0001.0001.0001.000
2018 사례수 (명)0.1891.0001.0000.0000.0860.1720.4780.000
25퍼센트 미만 (백분율)0.0001.0000.0001.0000.5860.6210.3730.653
25퍼센트_50퍼센트 미만 (백분율)0.0001.0000.0860.5861.0000.7480.8050.830
50퍼센트_75퍼센트 미만 (백분율)0.0001.0000.1720.6210.7481.0000.8930.925
75퍼센트 이상 (백분율)0.6501.0000.4780.3730.8050.8931.0000.985
평균 (백분율)0.6221.0000.0000.6530.8300.9250.9851.000
2023-12-13T03:10:17.975446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2018 사례수 (명)25퍼센트 미만 (백분율)25퍼센트_50퍼센트 미만 (백분율)50퍼센트_75퍼센트 미만 (백분율)75퍼센트 이상 (백분율)평균 (백분율)구분(1)
2018 사례수 (명)1.000-0.012-0.012-0.2770.2770.2290.058
25퍼센트 미만 (백분율)-0.0121.0000.3770.215-0.613-0.6970.000
25퍼센트_50퍼센트 미만 (백분율)-0.0120.3771.0000.293-0.729-0.7700.000
50퍼센트_75퍼센트 미만 (백분율)-0.2770.2150.2931.000-0.661-0.5460.000
75퍼센트 이상 (백분율)0.277-0.613-0.729-0.6611.0000.9680.242
평균 (백분율)0.229-0.697-0.770-0.5460.9681.0000.226
구분(1)0.0580.0000.0000.0000.2420.2261.000

Missing values

2023-12-13T03:10:14.172448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:10:14.362787image/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

구분(1)구분(2)2018 사례수 (명)25퍼센트 미만 (백분율)25퍼센트_50퍼센트 미만 (백분율)50퍼센트_75퍼센트 미만 (백분율)75퍼센트 이상 (백분율)평균 (백분율)
0연령별30대 이하6634.146.315.73.232.7
1연령별40대11310.640.443.72.342.5
2연령별50대3558.944.637.58.545.5
3연령별60대4815.946.530.916.650.1
4연령별70대 이상5696.826.618.847.266.9
5가구형태독신가구3340.91.92.794.595.6
6가구형태부부가구9008.251.335.64.142.3
7가구형태다른세대/기타35015.940.334.08.743.5
8가족수1명3340.91.92.794.595.6
9가족수2명9378.550.235.35.443.0
구분(1)구분(2)2018 사례수 (명)25퍼센트 미만 (백분율)25퍼센트_50퍼센트 미만 (백분율)50퍼센트_75퍼센트 미만 (백분율)75퍼센트 이상 (백분율)평균 (백분율)
42경작면적1500평~3000평 미만4698.143.530.017.850.4
43경작면적3000평~6000평 미만35711.242.835.29.545.6
44경작면적6000평~9000평 미만812.946.238.412.549.2
45경작면적9000평 이상1258.243.345.33.244.3
46농산물판매금액500만원 미만3483.424.721.250.769.6
47농산물판매금액500만원~1000만원 미만2544.532.021.940.563.7
48농산물판매금액1000만원~2000만원 미만3518.648.226.415.848.8
49농산물판매금액2000만원~3000만원 미만2078.547.935.08.144.6
50농산물판매금액3000만원~5000만원 미만2147.144.639.78.346.2
51농산물판매금액5000만원 이상11216.946.032.43.740.4