Overview

Dataset statistics

Number of variables17
Number of observations501
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.1 KiB
Average record size in memory141.3 B

Variable types

Categorical13
Numeric2
Text2

Dataset

Description논벼(현미) 생산량(재배면적, 생산량(톤) 등)을 시군별로 나타낸 데이터
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3104

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
수록주기 has constant value ""Constant
분류 영문명1 has constant value ""Constant
수록시점 has constant value ""Constant
통계표명 has constant value ""Constant
분류명1 has constant value ""Constant
수집날짜 has constant value ""Constant
단위영문명 is highly overall correlated with 항목영문명 and 3 other fieldsHigh correlation
단위명 is highly overall correlated with 항목영문명 and 3 other fieldsHigh correlation
항목 ID is highly overall correlated with 항목영문명 and 3 other fieldsHigh correlation
항목영문명 is highly overall correlated with 항목명 and 3 other fieldsHigh correlation
항목명 is highly overall correlated with 항목영문명 and 3 other fieldsHigh correlation

Reproduction

Analysis started2024-01-09 20:23:14.894884
Analysis finished2024-01-09 20:23:15.995835
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
DT_1ET0295
501 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_1ET0295
2nd rowDT_1ET0295
3rd rowDT_1ET0295
4th rowDT_1ET0295
5th rowDT_1ET0295

Common Values

ValueCountFrequency (%)
DT_1ET0295 501
100.0%

Length

2024-01-10T05:23:16.049553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:16.124515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_1et0295 501
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
101
501 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 501
100.0%

Length

2024-01-10T05:23:16.200386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:16.276870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 501
100.0%

항목영문명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Cultivated Area in ha
167 
per 10a output
167 
Production in tons
167 

Length

Max length21
Median length18
Mean length17.666667
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCultivated Area in ha
2nd rowper 10a output
3rd rowProduction in tons
4th rowCultivated Area in ha
5th rowper 10a output

Common Values

ValueCountFrequency (%)
Cultivated Area in ha 167
33.3%
per 10a output 167
33.3%
Production in tons 167
33.3%

Length

2024-01-10T05:23:16.368590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:16.471553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
in 334
20.0%
cultivated 167
10.0%
area 167
10.0%
ha 167
10.0%
per 167
10.0%
10a 167
10.0%
output 167
10.0%
production 167
10.0%
tons 167
10.0%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
A
501 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 501
100.0%

Length

2024-01-10T05:23:16.571095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:16.647347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 501
100.0%

항목명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
논벼:재배면적
167 
논벼:10a당 생산량
167 
논벼:생산량
167 

Length

Max length11
Median length7
Mean length8
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row논벼:재배면적
2nd row논벼:10a당 생산량
3rd row논벼:생산량
4th row논벼:재배면적
5th row논벼:10a당 생산량

Common Values

ValueCountFrequency (%)
논벼:재배면적 167
33.3%
논벼:10a당 생산량 167
33.3%
논벼:생산량 167
33.3%

Length

2024-01-10T05:23:16.739547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:16.825195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논벼:재배면적 167
25.0%
논벼:10a당 167
25.0%
생산량 167
25.0%
논벼:생산량 167
25.0%

항목 ID
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
T10
167 
T20
167 
T30
167 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT10
2nd rowT20
3rd rowT30
4th rowT10
5th rowT20

Common Values

ValueCountFrequency (%)
T10 167
33.3%
T20 167
33.3%
T30 167
33.3%

Length

2024-01-10T05:23:16.921575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:17.010120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
t10 167
33.3%
t20 167
33.3%
t30 167
33.3%

단위명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
ha
167 
kg
167 
톤
167 

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowha
2nd rowkg
3rd row톤
4th rowha
5th rowkg

Common Values

ValueCountFrequency (%)
ha 167
33.3%
kg 167
33.3%
톤 167
33.3%

Length

2024-01-10T05:23:17.101369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:17.185802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ha 167
33.3%
kg 167
33.3%
톤 167
33.3%

분류값 ID1
Real number (ℝ)

Distinct167
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30955.844
Minimum0
Maximum39020
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-10T05:23:17.282614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131260
median34330
Q336480
95-th percentile38330
Maximum39020
Range39020
Interquartile range (IQR)5220

Descriptive statistics

Standard deviation11018.352
Coefficient of variation (CV)0.3559377
Kurtosis3.8144003
Mean30955.844
Median Absolute Deviation (MAD)2720
Skewness-2.3168879
Sum15508878
Variance1.2140408 × 108
MonotonicityNot monotonic
2024-01-10T05:23:17.403366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.6%
36410 3
 
0.6%
36320 3
 
0.6%
36330 3
 
0.6%
36350 3
 
0.6%
36360 3
 
0.6%
36370 3
 
0.6%
36380 3
 
0.6%
36390 3
 
0.6%
36400 3
 
0.6%
Other values (157) 471
94.0%
ValueCountFrequency (%)
0 3
0.6%
11 3
0.6%
21 3
0.6%
22 3
0.6%
23 3
0.6%
24 3
0.6%
25 3
0.6%
26 3
0.6%
29 3
0.6%
31 3
0.6%
ValueCountFrequency (%)
39020 3
0.6%
38400 3
0.6%
38390 3
0.6%
38380 3
0.6%
38370 3
0.6%
38360 3
0.6%
38350 3
0.6%
38340 3
0.6%
38330 3
0.6%
38320 3
0.6%

단위영문명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
ha
167 
Kilo_Grammes
167 
Ton
167 

Length

Max length12
Median length3
Mean length5.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowha
2nd rowKilo_Grammes
3rd rowTon
4th rowha
5th rowKilo_Grammes

Common Values

ValueCountFrequency (%)
ha 167
33.3%
Kilo_Grammes 167
33.3%
Ton 167
33.3%

Length

2024-01-10T05:23:17.527458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:17.617183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ha 167
33.3%
kilo_grammes 167
33.3%
ton 167
33.3%

수치값
Real number (ℝ)

Distinct478
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28405.002
Minimum2.9077
Maximum4050172.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-10T05:23:17.717405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9077
5-th percentile237.3837
Q1542.7337
median2174.7382
Q312126.725
95-th percentile66511.025
Maximum4050172.7
Range4050169.8
Interquartile range (IQR)11583.991

Descriptive statistics

Standard deviation195722.59
Coefficient of variation (CV)6.8904271
Kurtosis359.48149
Mean28405.002
Median Absolute Deviation (MAD)1719.1581
Skewness17.882563
Sum14230906
Variance3.8307333 × 1010
MonotonicityNot monotonic
2024-01-10T05:23:17.842767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
522.746 7
 
1.4%
502.683 5
 
1.0%
526.0769 4
 
0.8%
496.5406 3
 
0.6%
573.7827 2
 
0.4%
563.4547 2
 
0.4%
455.5801 2
 
0.4%
515.3291 2
 
0.4%
19.1108 2
 
0.4%
406.6118 2
 
0.4%
Other values (468) 470
93.8%
ValueCountFrequency (%)
2.9077 1
0.2%
4.7 2
0.4%
7.9494 1
0.2%
15.1999 1
0.2%
19.1108 2
0.4%
19.1371 1
0.2%
20.6521 1
0.2%
24.6841 1
0.2%
41.5552 1
0.2%
45.3107 1
0.2%
ValueCountFrequency (%)
4050172.6776 1
0.2%
798754.4657 1
0.2%
780702.6423 1
0.2%
726653.8061 1
0.2%
669363.1718 1
0.2%
550444.8378 1
0.2%
394894.1345 1
0.2%
355870.7012 1
0.2%
184512.0787 1
0.2%
154906.4308 1
0.2%

분류 영문명1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
By administrative divisions
501 

Length

Max length27
Median length27
Mean length27
Min length27

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy administrative divisions
2nd rowBy administrative divisions
3rd rowBy administrative divisions
4th rowBy administrative divisions
5th rowBy administrative divisions

Common Values

ValueCountFrequency (%)
By administrative divisions 501
100.0%

Length

2024-01-10T05:23:17.960088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:18.037889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 501
33.3%
administrative 501
33.3%
divisions 501
33.3%

분류값 명1
Text

Distinct166
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-01-10T05:23:18.286140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1616766
Min length2

Characters and Unicode

Total characters1584
Distinct characters122
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

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row전국
3rd row전국
4th row서울특별시
5th row서울특별시
ValueCountFrequency (%)
고성군 6
 
1.2%
나주시 3
 
0.6%
담양군 3
 
0.6%
광양시 3
 
0.6%
곡성군 3
 
0.6%
구례군 3
 
0.6%
고흥군 3
 
0.6%
보성군 3
 
0.6%
화순군 3
 
0.6%
장흥군 3
 
0.6%
Other values (156) 468
93.4%
2024-01-10T05:23:18.652879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 246
 
15.5%
군 237
 
15.0%
천 63
 
4.0%
주 60
 
3.8%
양 45
 
2.8%
산 45
 
2.8%
성 39
 
2.5%
도 36
 
2.3%
광 33
 
2.1%
안 30
 
1.9%
Other values (112) 750
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1584
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 246
 
15.5%
군 237
 
15.0%
천 63
 
4.0%
주 60
 
3.8%
양 45
 
2.8%
산 45
 
2.8%
성 39
 
2.5%
도 36
 
2.3%
광 33
 
2.1%
안 30
 
1.9%
Other values (112) 750
47.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1584
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 246
 
15.5%
군 237
 
15.0%
천 63
 
4.0%
주 60
 
3.8%
양 45
 
2.8%
산 45
 
2.8%
성 39
 
2.5%
도 36
 
2.3%
광 33
 
2.1%
안 30
 
1.9%
Other values (112) 750
47.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1584
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 246
 
15.5%
군 237
 
15.0%
천 63
 
4.0%
주 60
 
3.8%
양 45
 
2.8%
산 45
 
2.8%
성 39
 
2.5%
도 36
 
2.3%
광 33
 
2.1%
안 30
 
1.9%
Other values (112) 750
47.3%

수록시점
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2022
501 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 501
100.0%

Length

2024-01-10T05:23:18.785215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:18.859645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 501
100.0%

분류값 영문명1
Text

Distinct166
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-01-10T05:23:19.039935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.461078
Min length5

Characters and Unicode

Total characters5241
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhole country
2nd rowWhole country
3rd rowWhole country
4th rowSeoul
5th rowSeoul
ValueCountFrequency (%)
goseong-gun 6
 
1.2%
naju-si 3
 
0.6%
damyang-gun 3
 
0.6%
gwangyang-si 3
 
0.6%
gokseong-gun 3
 
0.6%
gurye-gun 3
 
0.6%
goheung-gun 3
 
0.6%
boseong-gun 3
 
0.6%
hwasun-gun 3
 
0.6%
jangheung-gun 3
 
0.6%
Other values (157) 471
93.5%
2024-01-10T05:23:19.355460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 825
15.7%
g 579
11.0%
- 474
9.0%
o 438
 
8.4%
u 408
 
7.8%
e 351
 
6.7%
s 318
 
6.1%
a 300
 
5.7%
i 294
 
5.6%
h 153
 
2.9%
Other values (31) 1101
21.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4263
81.3%
Uppercase Letter 501
 
9.6%
Dash Punctuation 474
 
9.0%
Space Separator 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 825
19.4%
g 579
13.6%
o 438
10.3%
u 408
9.6%
e 351
8.2%
s 318
 
7.5%
a 300
 
7.0%
i 294
 
6.9%
h 153
 
3.6%
y 99
 
2.3%
Other values (11) 498
11.7%
Uppercase Letter
ValueCountFrequency (%)
G 108
21.6%
Y 57
11.4%
S 51
10.2%
J 45
9.0%
H 39
 
7.8%
C 39
 
7.8%
B 24
 
4.8%
D 21
 
4.2%
U 18
 
3.6%
P 15
 
3.0%
Other values (8) 84
16.8%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4764
90.9%
Common 477
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 825
17.3%
g 579
12.2%
o 438
9.2%
u 408
8.6%
e 351
 
7.4%
s 318
 
6.7%
a 300
 
6.3%
i 294
 
6.2%
h 153
 
3.2%
G 108
 
2.3%
Other values (29) 990
20.8%
Common
ValueCountFrequency (%)
- 474
99.4%
3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 825
15.7%
g 579
11.0%
- 474
9.0%
o 438
 
8.4%
u 408
 
7.8%
e 351
 
6.7%
s 318
 
6.1%
a 300
 
5.7%
i 294
 
5.6%
h 153
 
2.9%
Other values (31) 1101
21.0%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
시군별 논벼 생산량(현미)
501 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시군별 논벼 생산량(현미)
2nd row시군별 논벼 생산량(현미)
3rd row시군별 논벼 생산량(현미)
4th row시군별 논벼 생산량(현미)
5th row시군별 논벼 생산량(현미)

Common Values

ValueCountFrequency (%)
시군별 논벼 생산량(현미) 501
100.0%

Length

2024-01-10T05:23:19.473189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:19.546895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시군별 501
33.3%
논벼 501
33.3%
생산량(현미 501
33.3%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
행정구역별
501 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정구역별 501
100.0%

Length

2024-01-10T05:23:19.626951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:19.702347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역별 501
100.0%

수집날짜
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
20231109
501 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231109
2nd row20231109
3rd row20231109
4th row20231109
5th row20231109

Common Values

ValueCountFrequency (%)
20231109 501
100.0%

Length

2024-01-10T05:23:19.778960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:19.859743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231109 501
100.0%

Interactions

2024-01-10T05:23:15.525954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:23:15.345489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:23:15.612306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:23:15.431461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:23:19.912461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목영문명항목명항목 ID단위명분류값 ID1단위영문명수치값
항목영문명1.0001.0001.0001.0000.0001.0000.185
항목명1.0001.0001.0001.0000.0001.0000.185
항목 ID1.0001.0001.0001.0000.0001.0000.185
단위명1.0001.0001.0001.0000.0001.0000.185
분류값 ID10.0000.0000.0000.0001.0000.0000.221
단위영문명1.0001.0001.0001.0000.0001.0000.185
수치값0.1850.1850.1850.1850.2210.1851.000
2024-01-10T05:23:20.005461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단위영문명단위명항목 ID항목영문명항목명
단위영문명1.0001.0001.0001.0001.000
단위명1.0001.0001.0001.0001.000
항목 ID1.0001.0001.0001.0001.000
항목영문명1.0001.0001.0001.0001.000
항목명1.0001.0001.0001.0001.000
2024-01-10T05:23:20.099535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류값 ID1수치값항목영문명항목명항목 ID단위명단위영문명
분류값 ID11.0000.1280.0000.0000.0000.0000.000
수치값0.1281.0000.0570.0570.0570.0570.057
항목영문명0.0000.0571.0001.0001.0001.0001.000
항목명0.0000.0571.0001.0001.0001.0001.000
항목 ID0.0000.0571.0001.0001.0001.0001.000
단위명0.0000.0571.0001.0001.0001.0001.000
단위영문명0.0000.0571.0001.0001.0001.0001.000

Missing values

2024-01-10T05:23:15.736796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:23:15.927871image/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

통계표ID기관코드항목영문명수록주기항목명항목 ID단위명분류값 ID1단위영문명수치값분류 영문명1분류값 명1수록시점분류값 영문명1통계표명분류명1수집날짜
0DT_1ET0295101Cultivated Area in haA논벼:재배면적T10ha0ha726653.8061By administrative divisions전국2022Whole country시군별 논벼 생산량(현미)행정구역별20231109
1DT_1ET0295101per 10a outputA논벼:10a당 생산량T20kg0Kilo_Grammes557.3731By administrative divisions전국2022Whole country시군별 논벼 생산량(현미)행정구역별20231109
2DT_1ET0295101Production in tonsA논벼:생산량T30톤0Ton4050172.6776By administrative divisions전국2022Whole country시군별 논벼 생산량(현미)행정구역별20231109
3DT_1ET0295101Cultivated Area in haA논벼:재배면적T10ha11ha173.3846By administrative divisions서울특별시2022Seoul시군별 논벼 생산량(현미)행정구역별20231109
4DT_1ET0295101per 10a outputA논벼:10a당 생산량T20kg11Kilo_Grammes536.2145By administrative divisions서울특별시2022Seoul시군별 논벼 생산량(현미)행정구역별20231109
5DT_1ET0295101Production in tonsA논벼:생산량T30톤11Ton929.7134By administrative divisions서울특별시2022Seoul시군별 논벼 생산량(현미)행정구역별20231109
6DT_1ET0295101Cultivated Area in haA논벼:재배면적T10ha21ha2123.4349By administrative divisions부산광역시2022Busan시군별 논벼 생산량(현미)행정구역별20231109
7DT_1ET0295101per 10a outputA논벼:10a당 생산량T20kg21Kilo_Grammes547.5418By administrative divisions부산광역시2022Busan시군별 논벼 생산량(현미)행정구역별20231109
8DT_1ET0295101Production in tonsA논벼:생산량T30톤21Ton11626.6932By administrative divisions부산광역시2022Busan시군별 논벼 생산량(현미)행정구역별20231109
9DT_1ET0295101Cultivated Area in haA논벼:재배면적T10ha22ha2934.5406By administrative divisions대구광역시2022Daegu시군별 논벼 생산량(현미)행정구역별20231109
통계표ID기관코드항목영문명수록주기항목명항목 ID단위명분류값 ID1단위영문명수치값분류 영문명1분류값 명1수록시점분류값 영문명1통계표명분류명1수집날짜
491DT_1ET0295101Production in tonsA논벼:생산량T30톤38390Ton20970.2879By administrative divisions거창군2022Geochang-gun시군별 논벼 생산량(현미)행정구역별20231109
492DT_1ET0295101Cultivated Area in haA논벼:재배면적T10ha38400ha6521.1024By administrative divisions합천군2022Hapcheon-gun시군별 논벼 생산량(현미)행정구역별20231109
493DT_1ET0295101per 10a outputA논벼:10a당 생산량T20kg38400Kilo_Grammes548.0654By administrative divisions합천군2022Hapcheon-gun시군별 논벼 생산량(현미)행정구역별20231109
494DT_1ET0295101Production in tonsA논벼:생산량T30톤38400Ton35739.9072By administrative divisions합천군2022Hapcheon-gun시군별 논벼 생산량(현미)행정구역별20231109
495DT_1ET0295101Cultivated Area in haA논벼:재배면적T10ha39ha4.7By administrative divisions제주도2022Jeju-do시군별 논벼 생산량(현미)행정구역별20231109
496DT_1ET0295101per 10a outputA논벼:10a당 생산량T20kg39Kilo_Grammes406.6118By administrative divisions제주도2022Jeju-do시군별 논벼 생산량(현미)행정구역별20231109
497DT_1ET0295101Production in tonsA논벼:생산량T30톤39Ton19.1108By administrative divisions제주도2022Jeju-do시군별 논벼 생산량(현미)행정구역별20231109
498DT_1ET0295101Cultivated Area in haA논벼:재배면적T10ha39020ha4.7By administrative divisions서귀포시2022Seogwipo-si시군별 논벼 생산량(현미)행정구역별20231109
499DT_1ET0295101per 10a outputA논벼:10a당 생산량T20kg39020Kilo_Grammes406.6118By administrative divisions서귀포시2022Seogwipo-si시군별 논벼 생산량(현미)행정구역별20231109
500DT_1ET0295101Production in tonsA논벼:생산량T30톤39020Ton19.1108By administrative divisions서귀포시2022Seogwipo-si시군별 논벼 생산량(현미)행정구역별20231109