Overview

Dataset statistics

Number of variables12
Number of observations252
Missing cells316
Missing cells (%)10.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.0 KiB
Average record size in memory101.5 B

Variable types

Numeric4
Text2
Categorical2
Boolean4

Dataset

Description생산농가 패널의 경영규모, 재배기술, 투입, 산출, 비용 등 경영실태 조사분석관련 내부 관리시스템으로 질문번호, 페이지, 제목, 설명, 유형, 이동유형(페이지/질문), 필수항목여부, 1행당응답제한여부(객관식그리드), 1열당응답1개제한혀부(객관식그리드), 1행당응답제한개수, 행개수(주관식그리드(가로형))혹은답변개수(단답형), 한줄표출여부(단답형)을 제공합니다. 다.
Author충청북도
URLhttps://www.data.go.kr/data/15050267/fileData.do

Alerts

1열당응답1개제한혀부(객관식그리드) has constant value ""Constant
1행당응답제한여부(객관식그리드) is highly overall correlated with 페이지 and 3 other fieldsHigh correlation
이동유형(페이지/질문) is highly overall correlated with 행개수(주관식그리드(가로형))혹은답변개수(단답형) and 1 other fieldsHigh correlation
필수항목여부 is highly overall correlated with 페이지 and 1 other fieldsHigh correlation
1행당응답제한개수 is highly overall correlated with 질문번호 and 6 other fieldsHigh correlation
한줄표출여부(단답형) is highly overall correlated with 유형 and 2 other fieldsHigh correlation
질문번호 is highly overall correlated with 페이지 and 1 other fieldsHigh correlation
페이지 is highly overall correlated with 질문번호 and 3 other fieldsHigh correlation
유형 is highly overall correlated with 1행당응답제한여부(객관식그리드) and 2 other fieldsHigh correlation
행개수(주관식그리드(가로형))혹은답변개수(단답형) is highly overall correlated with 이동유형(페이지/질문) and 2 other fieldsHigh correlation
이동유형(페이지/질문) is highly imbalanced (90.7%)Imbalance
한줄표출여부(단답형) is highly imbalanced (70.7%)Imbalance
설명 has 154 (61.1%) missing valuesMissing
행개수(주관식그리드(가로형))혹은답변개수(단답형) has 162 (64.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:46:41.860018
Analysis finished2023-12-12 21:46:44.591765
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

질문번호
Real number (ℝ)

HIGH CORRELATION 

Distinct108
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.599206
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T06:46:44.673698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q121
median42
Q369
95-th percentile95.45
Maximum108
Range107
Interquartile range (IQR)48

Descriptive statistics

Standard deviation29.001341
Coefficient of variation (CV)0.63600539
Kurtosis-0.97055081
Mean45.599206
Median Absolute Deviation (MAD)23
Skewness0.3180901
Sum11491
Variance841.07777
MonotonicityNot monotonic
2023-12-13T06:46:44.826612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
1.6%
27 3
 
1.2%
29 3
 
1.2%
30 3
 
1.2%
31 3
 
1.2%
32 3
 
1.2%
33 3
 
1.2%
34 3
 
1.2%
35 3
 
1.2%
37 3
 
1.2%
Other values (98) 221
87.7%
ValueCountFrequency (%)
1 4
1.6%
2 3
1.2%
3 3
1.2%
4 3
1.2%
5 3
1.2%
6 3
1.2%
7 3
1.2%
8 3
1.2%
9 3
1.2%
10 3
1.2%
ValueCountFrequency (%)
108 1
0.4%
107 1
0.4%
106 1
0.4%
105 1
0.4%
104 1
0.4%
103 1
0.4%
102 1
0.4%
101 1
0.4%
100 1
0.4%
99 1
0.4%

페이지
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.18254
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T06:46:44.952554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q17
median14
Q321
95-th percentile27
Maximum30
Range29
Interquartile range (IQR)14

Descriptive statistics

Standard deviation7.8587133
Coefficient of variation (CV)0.55411185
Kurtosis-1.1634869
Mean14.18254
Median Absolute Deviation (MAD)7
Skewness0.09892362
Sum3574
Variance61.759375
MonotonicityNot monotonic
2023-12-13T06:46:45.097465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
21 22
 
8.7%
15 18
 
7.1%
5 17
 
6.7%
24 15
 
6.0%
6 14
 
5.6%
7 13
 
5.2%
14 11
 
4.4%
10 11
 
4.4%
17 10
 
4.0%
20 9
 
3.6%
Other values (20) 112
44.4%
ValueCountFrequency (%)
1 9
3.6%
2 4
 
1.6%
3 5
 
2.0%
4 8
3.2%
5 17
6.7%
6 14
5.6%
7 13
5.2%
8 8
3.2%
9 9
3.6%
10 11
4.4%
ValueCountFrequency (%)
30 1
 
0.4%
29 4
 
1.6%
28 6
 
2.4%
27 3
 
1.2%
26 4
 
1.6%
25 7
 
2.8%
24 15
6.0%
23 6
 
2.4%
22 5
 
2.0%
21 22
8.7%

제목
Text

Distinct223
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T06:46:45.476329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length50
Mean length25.809524
Min length4

Characters and Unicode

Total characters6504
Distinct characters296
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)77.8%

Sample

1st row문제예시
2nd row1-1. 농가 주소지의 시군명을 기입 하시오.
3rd row1-2. 귀하의 경영체 유형은?
4th row2. 경영주 정보
5th row2. 품종 재배 현황
ValueCountFrequency (%)
어떻게 22
 
1.6%
무엇입니까 22
 
1.6%
21
 
1.5%
어느 21
 
1.5%
사과 18
 
1.3%
주십시오 18
 
1.3%
해당되는 18
 
1.3%
하십니까 17
 
1.2%
정도 16
 
1.2%
하신다면 16
 
1.2%
Other values (466) 1178
86.2%
2023-12-13T06:46:46.164702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1131
 
17.4%
. 283
 
4.4%
- 244
 
3.8%
2 139
 
2.1%
니 137
 
2.1%
1 133
 
2.0%
하 128
 
2.0%
? 126
 
1.9%
까 122
 
1.9%
기 121
 
1.9%
Other values (286) 3940
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3978
61.2%
Space Separator 1131
 
17.4%
Decimal Number 591
 
9.1%
Other Punctuation 451
 
6.9%
Dash Punctuation 244
 
3.8%
Close Punctuation 55
 
0.8%
Open Punctuation 45
 
0.7%
Uppercase Letter 6
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
니 137
 
3.4%
하 128
 
3.2%
까 122
 
3.1%
기 121
 
3.0%
농 108
 
2.7%
는 99
 
2.5%
사 75
 
1.9%
십 73
 
1.8%
입 73
 
1.8%
비 71
 
1.8%
Other values (263) 2971
74.7%
Decimal Number
ValueCountFrequency (%)
2 139
23.5%
1 133
22.5%
3 94
15.9%
5 60
10.2%
4 53
 
9.0%
0 39
 
6.6%
6 22
 
3.7%
7 18
 
3.0%
8 17
 
2.9%
9 16
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 283
62.7%
? 126
27.9%
, 37
 
8.2%
% 4
 
0.9%
: 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
P 2
33.3%
C 2
33.3%
Space Separator
ValueCountFrequency (%)
1131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3978
61.2%
Common 2517
38.7%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
니 137
 
3.4%
하 128
 
3.2%
까 122
 
3.1%
기 121
 
3.0%
농 108
 
2.7%
는 99
 
2.5%
사 75
 
1.9%
십 73
 
1.8%
입 73
 
1.8%
비 71
 
1.8%
Other values (263) 2971
74.7%
Common
ValueCountFrequency (%)
1131
44.9%
. 283
 
11.2%
- 244
 
9.7%
2 139
 
5.5%
1 133
 
5.3%
? 126
 
5.0%
3 94
 
3.7%
5 60
 
2.4%
) 55
 
2.2%
4 53
 
2.1%
Other values (9) 199
 
7.9%
Latin
ValueCountFrequency (%)
a 3
33.3%
M 2
22.2%
P 2
22.2%
C 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3978
61.2%
ASCII 2526
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1131
44.8%
. 283
 
11.2%
- 244
 
9.7%
2 139
 
5.5%
1 133
 
5.3%
? 126
 
5.0%
3 94
 
3.7%
5 60
 
2.4%
) 55
 
2.2%
4 53
 
2.1%
Other values (13) 208
 
8.2%
Hangul
ValueCountFrequency (%)
니 137
 
3.4%
하 128
 
3.2%
까 122
 
3.1%
기 121
 
3.0%
농 108
 
2.7%
는 99
 
2.5%
사 75
 
1.9%
십 73
 
1.8%
입 73
 
1.8%
비 71
 
1.8%
Other values (263) 2971
74.7%

설명
Text

MISSING 

Distinct82
Distinct (%)83.7%
Missing154
Missing (%)61.1%
Memory size2.1 KiB
2023-12-13T06:46:46.494682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length812
Median length183.5
Mean length97.765306
Min length6

Characters and Unicode

Total characters9581
Distinct characters462
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)76.5%

Sample

1st row※ 지주시설 : 단독지주, 트렐리스, 매드릭스 등
2nd row※ 기타를 선택하는 경우 내용을 적어 주세요
3rd row※ 퇴비 종류 : 볏짚, 우분, 돈분, 계분, 유박, 수피, 산야초
4th row* 관개시설 : 보, 관정. 저수지, 댐 등 * 관수시설 : 점적관수, 스프링클러시설, 미세살수관수 등
5th row※ 기타를 선택하는 경우 내용을 적어 주세요
ValueCountFrequency (%)
320
 
13.1%
※ 123
 
5.0%
시범 44
 
1.8%
기타 44
 
1.8%
1 41
 
1.7%
2 38
 
1.6%
3 37
 
1.5%
4 35
 
1.4%
5 33
 
1.4%
6 29
 
1.2%
Other values (971) 1692
69.5%
2023-12-13T06:46:46.995016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2366
24.7%
, 543
 
5.7%
기 214
 
2.2%
1 198
 
2.1%
. 192
 
2.0%
시 139
 
1.5%
※ 137
 
1.4%
업 120
 
1.3%
농 98
 
1.0%
사 96
 
1.0%
Other values (452) 5478
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5378
56.1%
Space Separator 2366
24.7%
Other Punctuation 988
 
10.3%
Decimal Number 677
 
7.1%
Close Punctuation 51
 
0.5%
Open Punctuation 50
 
0.5%
Uppercase Letter 29
 
0.3%
Lowercase Letter 18
 
0.2%
Math Symbol 14
 
0.1%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 214
 
4.0%
시 139
 
2.6%
업 120
 
2.2%
농 98
 
1.8%
사 96
 
1.8%
지 93
 
1.7%
산 79
 
1.5%
수 75
 
1.4%
범 71
 
1.3%
이 62
 
1.2%
Other values (402) 4331
80.5%
Lowercase Letter
ValueCountFrequency (%)
a 3
16.7%
e 2
11.1%
y 2
11.1%
g 2
11.1%
r 2
11.1%
k 1
 
5.6%
i 1
 
5.6%
l 1
 
5.6%
d 1
 
5.6%
p 1
 
5.6%
Other values (2) 2
11.1%
Other Punctuation
ValueCountFrequency (%)
, 543
55.0%
. 192
 
19.4%
※ 137
 
13.9%
: 84
 
8.5%
% 11
 
1.1%
" 5
 
0.5%
· 5
 
0.5%
* 5
 
0.5%
' 5
 
0.5%
/ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 198
29.2%
2 94
13.9%
3 72
 
10.6%
4 59
 
8.7%
5 58
 
8.6%
0 53
 
7.8%
6 43
 
6.4%
8 35
 
5.2%
7 35
 
5.2%
9 30
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
P 9
31.0%
M 5
17.2%
S 4
13.8%
T 2
 
6.9%
E 2
 
6.9%
A 2
 
6.9%
F 2
 
6.9%
Y 1
 
3.4%
C 1
 
3.4%
G 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 48
94.1%
] 3
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 47
94.0%
[ 3
 
6.0%
Math Symbol
ValueCountFrequency (%)
+ 7
50.0%
~ 7
50.0%
Space Separator
ValueCountFrequency (%)
2366
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5378
56.1%
Common 4156
43.4%
Latin 47
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 214
 
4.0%
시 139
 
2.6%
업 120
 
2.2%
농 98
 
1.8%
사 96
 
1.8%
지 93
 
1.7%
산 79
 
1.5%
수 75
 
1.4%
범 71
 
1.3%
이 62
 
1.2%
Other values (402) 4331
80.5%
Common
ValueCountFrequency (%)
2366
56.9%
, 543
 
13.1%
1 198
 
4.8%
. 192
 
4.6%
※ 137
 
3.3%
2 94
 
2.3%
: 84
 
2.0%
3 72
 
1.7%
4 59
 
1.4%
5 58
 
1.4%
Other values (18) 353
 
8.5%
Latin
ValueCountFrequency (%)
P 9
19.1%
M 5
 
10.6%
S 4
 
8.5%
a 3
 
6.4%
e 2
 
4.3%
y 2
 
4.3%
g 2
 
4.3%
r 2
 
4.3%
T 2
 
4.3%
E 2
 
4.3%
Other values (12) 14
29.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5378
56.1%
ASCII 4061
42.4%
Punctuation 137
 
1.4%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2366
58.3%
, 543
 
13.4%
1 198
 
4.9%
. 192
 
4.7%
2 94
 
2.3%
: 84
 
2.1%
3 72
 
1.8%
4 59
 
1.5%
5 58
 
1.4%
0 53
 
1.3%
Other values (38) 342
 
8.4%
Hangul
ValueCountFrequency (%)
기 214
 
4.0%
시 139
 
2.6%
업 120
 
2.2%
농 98
 
1.8%
사 96
 
1.8%
지 93
 
1.7%
산 79
 
1.5%
수 75
 
1.4%
범 71
 
1.3%
이 62
 
1.2%
Other values (402) 4331
80.5%
Punctuation
ValueCountFrequency (%)
※ 137
100.0%
None
ValueCountFrequency (%)
· 5
100.0%

유형
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2936508
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T06:46:47.130041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.8314327
Coefficient of variation (CV)0.44988717
Kurtosis-1.2807235
Mean6.2936508
Median Absolute Deviation (MAD)2
Skewness-0.57234132
Sum1586
Variance8.0170113
MonotonicityNot monotonic
2023-12-13T06:46:47.243500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
9 90
35.7%
3 53
21.0%
7 46
18.3%
8 27
 
10.7%
1 17
 
6.7%
4 10
 
4.0%
2 8
 
3.2%
6 1
 
0.4%
ValueCountFrequency (%)
1 17
 
6.7%
2 8
 
3.2%
3 53
21.0%
4 10
 
4.0%
6 1
 
0.4%
7 46
18.3%
8 27
 
10.7%
9 90
35.7%
ValueCountFrequency (%)
9 90
35.7%
8 27
 
10.7%
7 46
18.3%
6 1
 
0.4%
4 10
 
4.0%
3 53
21.0%
2 8
 
3.2%
1 17
 
6.7%

이동유형(페이지/질문)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
N
249 
A
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 249
98.8%
A 3
 
1.2%

Length

2023-12-13T06:46:47.399782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:46:47.485278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 249
98.8%
a 3
 
1.2%

필수항목여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
False
161 
True
91 
ValueCountFrequency (%)
False 161
63.9%
True 91
36.1%
2023-12-13T06:46:47.559754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1행당응답제한여부(객관식그리드)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
False
208 
True
44 
ValueCountFrequency (%)
False 208
82.5%
True 44
 
17.5%
2023-12-13T06:46:47.661918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1열당응답1개제한혀부(객관식그리드)
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
False
252 
ValueCountFrequency (%)
False 252
100.0%
2023-12-13T06:46:47.754131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

1행당응답제한개수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
208 
1
44 

Length

Max length4
Median length4
Mean length3.4761905
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 208
82.5%
1 44
 
17.5%

Length

2023-12-13T06:46:47.857973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:46:47.969685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
82.5%
1 44
 
17.5%

행개수(주관식그리드(가로형))혹은답변개수(단답형)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)14.4%
Missing162
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean3.9666667
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T06:46:48.067452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile14.55
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.1717347
Coefficient of variation (CV)1.0516978
Kurtosis2.1465875
Mean3.9666667
Median Absolute Deviation (MAD)1
Skewness1.609984
Sum357
Variance17.403371
MonotonicityNot monotonic
2023-12-13T06:46:48.183177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 44
 
17.5%
4 8
 
3.2%
6 8
 
3.2%
3 5
 
2.0%
2 5
 
2.0%
15 4
 
1.6%
10 4
 
1.6%
9 3
 
1.2%
8 3
 
1.2%
7 2
 
0.8%
Other values (3) 4
 
1.6%
(Missing) 162
64.3%
ValueCountFrequency (%)
1 44
17.5%
2 5
 
2.0%
3 5
 
2.0%
4 8
 
3.2%
5 2
 
0.8%
6 8
 
3.2%
7 2
 
0.8%
8 3
 
1.2%
9 3
 
1.2%
10 4
 
1.6%
ValueCountFrequency (%)
19 1
 
0.4%
15 4
1.6%
14 1
 
0.4%
10 4
1.6%
9 3
 
1.2%
8 3
 
1.2%
7 2
 
0.8%
6 8
3.2%
5 2
 
0.8%
4 8
3.2%

한줄표출여부(단답형)
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
False
239 
True
 
13
ValueCountFrequency (%)
False 239
94.8%
True 13
 
5.2%
2023-12-13T06:46:48.318344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-13T06:46:43.851438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:42.680079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.112298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.477298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.941985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:42.784192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.202827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.566002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:44.015848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:42.894952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.292825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.655005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:44.103400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.009869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.397373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:46:43.765625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:46:48.410062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
질문번호페이지설명유형이동유형(페이지/질문)필수항목여부1행당응답제한여부(객관식그리드)행개수(주관식그리드(가로형))혹은답변개수(단답형)한줄표출여부(단답형)
질문번호1.0000.9510.8890.4890.0000.4180.4340.4260.000
페이지0.9511.0000.5880.6320.1300.6550.7230.3500.000
설명0.8890.5881.0000.782NaN0.9331.0001.0001.000
유형0.4890.6320.7821.0000.1790.4360.999NaN0.976
이동유형(페이지/질문)0.0000.130NaN0.1791.0000.1370.000NaN0.000
필수항목여부0.4180.6550.9330.4360.1371.0000.3090.2860.038
1행당응답제한여부(객관식그리드)0.4340.7231.0000.9990.0000.3091.000NaN0.086
행개수(주관식그리드(가로형))혹은답변개수(단답형)0.4260.3501.000NaNNaN0.286NaN1.000NaN
한줄표출여부(단답형)0.0000.0001.0000.9760.0000.0380.086NaN1.000
2023-12-13T06:46:48.550054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1행당응답제한여부(객관식그리드)이동유형(페이지/질문)필수항목여부1행당응답제한개수한줄표출여부(단답형)
1행당응답제한여부(객관식그리드)1.0000.0000.2001.0000.055
이동유형(페이지/질문)0.0001.0000.0881.0000.000
필수항목여부0.2000.0881.0001.0000.024
1행당응답제한개수1.0001.0001.0001.0001.000
한줄표출여부(단답형)0.0550.0000.0241.0001.000
2023-12-13T06:46:48.694394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
질문번호페이지유형행개수(주관식그리드(가로형))혹은답변개수(단답형)이동유형(페이지/질문)필수항목여부1행당응답제한여부(객관식그리드)1행당응답제한개수한줄표출여부(단답형)
질문번호1.0000.989-0.0540.0600.0000.3160.3281.0000.000
페이지0.9891.000-0.0550.0840.0970.5000.5571.0000.000
유형-0.054-0.0551.000NaN0.1320.3240.9611.0000.853
행개수(주관식그리드(가로형))혹은답변개수(단답형)0.0600.084NaN1.0001.0000.2321.0000.0001.000
이동유형(페이지/질문)0.0000.0970.1321.0001.0000.0880.0001.0000.000
필수항목여부0.3160.5000.3240.2320.0881.0000.2001.0000.024
1행당응답제한여부(객관식그리드)0.3280.5570.9611.0000.0000.2001.0001.0000.055
1행당응답제한개수1.0001.0001.0000.0001.0001.0001.0001.0001.000
한줄표출여부(단답형)0.0000.0000.8531.0000.0000.0240.0551.0001.000

Missing values

2023-12-13T06:46:44.234969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:46:44.406129image/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.
2023-12-13T06:46:44.537094image/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

질문번호페이지제목설명유형이동유형(페이지/질문)필수항목여부1행당응답제한여부(객관식그리드)1열당응답1개제한혀부(객관식그리드)1행당응답제한개수행개수(주관식그리드(가로형))혹은답변개수(단답형)한줄표출여부(단답형)
011문제예시<NA>2NNNN<NA><NA>N
1111-1. 농가 주소지의 시군명을 기입 하시오.<NA>1NYNN<NA><NA>N
2211-2. 귀하의 경영체 유형은?<NA>3NYNN<NA><NA>N
3322. 경영주 정보<NA>8NYNN<NA><NA>N
4432. 품종 재배 현황※ 지주시설 : 단독지주, 트렐리스, 매드릭스 등9NNNN<NA>7N
5542-1. 묘목을 집에서 직접 생산했습니까?<NA>9NNNN<NA>1N
6653-1. 개화시기는 언제입니까?<NA>1NNNN<NA><NA>Y
7753-2-1. 꽃따기(적화)를 하십니까?<NA>4NNNN<NA><NA>N
8853-2-2. 하신다면 면적비율을 적어 주십시오.<NA>9NNNN<NA>1N
9953-3-1. 인공수분을 하십니까? 하신다면 인공수분방법을 모두 선택하여 주십시오.※ 기타를 선택하는 경우 내용을 적어 주세요4NNNN<NA><NA>N
질문번호페이지제목설명유형이동유형(페이지/질문)필수항목여부1행당응답제한여부(객관식그리드)1열당응답1개제한혀부(객관식그리드)1행당응답제한개수행개수(주관식그리드(가로형))혹은답변개수(단답형)한줄표출여부(단답형)
24299253. 포장 단위 별 판매비율※ 구분 : 사용하고 계신 포장 단위를 kg 단위로 입력해주시기 바랍니다. 매비율 합계가 100%가 나오도록 입력부탁드립니다.9NNNN<NA>10N
243100254. 포장 재질※ 구분 : 포장하지 않음 1, 골판지박스 2, 스치로폼 3, P.E박스 4, PP포대 5, 끈 6, 벌크 7, 톤백 8, 컨테이너상자 9, 그물망 10, 기타 11※ 판매비율 합계가 100%가 나오도록 입력부탁드립니다.9NNNN<NA>8N
244101261-1. 현재 한국 농업은 전반적으로 어떻습니까?<NA>7NYYN1<NA>N
245102261-2. 5년 후의 한국 농업을 어떻게 전망하십니까?<NA>7NYYN1<NA>N
246103272-1. 쌀의 경영성과는 어느 정도 만족하십니까?<NA>7NNYN1<NA>N
247104272-2. 5년 후 쌀 경영성과는 어떻게 전망하십니까?<NA>7NNYN1<NA>N
248105283-1. 시기별 쌀 산업 전망<NA>7NNYN1<NA>N
249106283-2. 희망적이라면 그 이유는 무엇입니까?<NA>2NNNN<NA><NA>N
250107283-3. 부정적이라면 그 이유는 무엇입니까?<NA>2NNNN<NA><NA>N
251108294. 기타 농업관련 분야 개선 및 건의사항<NA>2NNNN<NA><NA>N