Overview

Dataset statistics

Number of variables10
Number of observations30
Missing cells108
Missing cells (%)36.0%
Duplicate rows1
Duplicate rows (%)3.3%
Total size in memory2.5 KiB
Average record size in memory86.4 B

Variable types

Categorical3
Text5
Numeric1
Unsupported1

Dataset

Description인공어초시설적지및시설면적현황
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202018

Alerts

Dataset has 1 (3.3%) duplicate rowsDuplicates
‘13년실적면적 is highly overall correlated with - and 1 other fieldsHigh correlation
‘13년실적시설량 is highly overall correlated with - and 1 other fieldsHigh correlation
- is highly overall correlated with ‘13년실적면적 and 1 other fieldsHigh correlation
단위:ha,개) has 13 (43.3%) missing valuesMissing
적지면적 has 13 (43.3%) missing valuesMissing
시설면적 has 13 (43.3%) missing valuesMissing
‘12년까지면적 has 13 (43.3%) missing valuesMissing
‘12년까지시설량 has 13 (43.3%) missing valuesMissing
시설율(%) has 13 (43.3%) missing valuesMissing
Unnamed: 9 has 30 (100.0%) missing valuesMissing
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 00:37:45.439854
Analysis finished2024-03-14 00:37:46.445412
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

-
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
13 
군산시
12 
부안군
4 
수역별
 
1

Length

Max length4
Median length3
Mean length3.4333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row수역별
2nd row군산시
3rd row군산시
4th row군산시
5th row군산시

Common Values

ValueCountFrequency (%)
<NA> 13
43.3%
군산시 12
40.0%
부안군 4
 
13.3%
수역별 1
 
3.3%

Length

2024-03-14T09:37:46.508555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:46.603401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
43.3%
군산시 12
40.0%
부안군 4
 
13.3%
수역별 1
 
3.3%

단위:ha,개)
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing13
Missing (%)43.3%
Memory size372.0 B
2024-03-14T09:37:46.734623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.4705882
Min length1

Characters and Unicode

Total characters42
Distinct characters28
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

Unique15 ?
Unique (%)88.2%

Sample

1st row합계
2nd row계
3rd row십이동파
4th row연도
5th row흑도
ValueCountFrequency (%)
계 2
 
11.8%
합계 1
 
5.9%
십이동파 1
 
5.9%
연도 1
 
5.9%
흑도 1
 
5.9%
관리도 1
 
5.9%
말도 1
 
5.9%
어청도 1
 
5.9%
개야도 1
 
5.9%
횡경도 1
 
5.9%
Other values (6) 6
35.3%
2024-03-14T09:37:46.990334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 13
31.0%
계 3
 
7.1%
야 1
 
2.4%
축 1
 
2.4%
방 1
 
2.4%
수 1
 
2.4%
임 1
 
2.4%
등 1
 
2.4%
왕 1
 
2.4%
위 1
 
2.4%
Other values (18) 18
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 13
31.0%
계 3
 
7.1%
야 1
 
2.4%
축 1
 
2.4%
방 1
 
2.4%
수 1
 
2.4%
임 1
 
2.4%
등 1
 
2.4%
왕 1
 
2.4%
위 1
 
2.4%
Other values (18) 18
42.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 13
31.0%
계 3
 
7.1%
야 1
 
2.4%
축 1
 
2.4%
방 1
 
2.4%
수 1
 
2.4%
임 1
 
2.4%
등 1
 
2.4%
왕 1
 
2.4%
위 1
 
2.4%
Other values (18) 18
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 13
31.0%
계 3
 
7.1%
야 1
 
2.4%
축 1
 
2.4%
방 1
 
2.4%
수 1
 
2.4%
임 1
 
2.4%
등 1
 
2.4%
왕 1
 
2.4%
위 1
 
2.4%
Other values (18) 18
42.9%

적지면적
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Memory size372.0 B
2024-03-14T09:37:47.148325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4705882
Min length3

Characters and Unicode

Total characters76
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row33,628
2nd row21,503
3rd row1,368
4th row1,640
5th row106
ValueCountFrequency (%)
21,503 1
 
5.9%
384 1
 
5.9%
717 1
 
5.9%
2,148 1
 
5.9%
9,260 1
 
5.9%
12,125 1
 
5.9%
2,672 1
 
5.9%
608 1
 
5.9%
33,628 1
 
5.9%
1,368 1
 
5.9%
Other values (7) 7
41.2%
2024-03-14T09:37:47.394121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 11
14.5%
1 11
14.5%
, 11
14.5%
6 9
11.8%
8 9
11.8%
0 7
9.2%
3 5
6.6%
4 5
6.6%
7 4
 
5.3%
5 3
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65
85.5%
Other Punctuation 11
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 11
16.9%
1 11
16.9%
6 9
13.8%
8 9
13.8%
0 7
10.8%
3 5
7.7%
4 5
7.7%
7 4
 
6.2%
5 3
 
4.6%
9 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 76
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 11
14.5%
1 11
14.5%
, 11
14.5%
6 9
11.8%
8 9
11.8%
0 7
9.2%
3 5
6.6%
4 5
6.6%
7 4
 
5.3%
5 3
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 11
14.5%
1 11
14.5%
, 11
14.5%
6 9
11.8%
8 9
11.8%
0 7
9.2%
3 5
6.6%
4 5
6.6%
7 4
 
5.3%
5 3
 
3.9%

시설면적
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Memory size372.0 B
2024-03-14T09:37:47.530961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.9411765
Min length2

Characters and Unicode

Total characters67
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row15,899
2nd row10,139
3rd row928
4th row1,278
5th row24
ValueCountFrequency (%)
10,139 1
 
5.9%
32 1
 
5.9%
592 1
 
5.9%
1,152 1
 
5.9%
4,016 1
 
5.9%
5,760 1
 
5.9%
112 1
 
5.9%
128 1
 
5.9%
15,899 1
 
5.9%
928 1
 
5.9%
Other values (7) 7
41.2%
2024-03-14T09:37:47.796211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12
17.9%
2 11
16.4%
, 8
11.9%
5 6
9.0%
0 5
7.5%
9 5
7.5%
8 5
7.5%
3 4
 
6.0%
4 4
 
6.0%
6 4
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59
88.1%
Other Punctuation 8
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
20.3%
2 11
18.6%
5 6
10.2%
0 5
8.5%
9 5
8.5%
8 5
8.5%
3 4
 
6.8%
4 4
 
6.8%
6 4
 
6.8%
7 3
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 12
17.9%
2 11
16.4%
, 8
11.9%
5 6
9.0%
0 5
7.5%
9 5
7.5%
8 5
7.5%
3 4
 
6.0%
4 4
 
6.0%
6 4
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12
17.9%
2 11
16.4%
, 8
11.9%
5 6
9.0%
0 5
7.5%
9 5
7.5%
8 5
7.5%
3 4
 
6.0%
4 4
 
6.0%
6 4
 
6.0%

‘12년까지면적
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Memory size372.0 B
2024-03-14T09:37:47.931992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.7058824
Min length1

Characters and Unicode

Total characters63
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row15,531
2nd row9,915
3rd row928
4th row1,278
5th row24
ValueCountFrequency (%)
9,915 1
 
5.9%
32 1
 
5.9%
592 1
 
5.9%
1,152 1
 
5.9%
3,872 1
 
5.9%
5,616 1
 
5.9%
1
 
5.9%
16 1
 
5.9%
15,531 1
 
5.9%
928 1
 
5.9%
Other values (7) 7
41.2%
2024-03-14T09:37:48.188004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
15.9%
2 10
15.9%
, 8
12.7%
5 8
12.7%
6 5
7.9%
3 5
7.9%
9 4
 
6.3%
8 4
 
6.3%
7 3
 
4.8%
4 3
 
4.8%
Other values (2) 3
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
85.7%
Other Punctuation 8
 
12.7%
Dash Punctuation 1
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
18.5%
2 10
18.5%
5 8
14.8%
6 5
9.3%
3 5
9.3%
9 4
 
7.4%
8 4
 
7.4%
7 3
 
5.6%
4 3
 
5.6%
0 2
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
15.9%
2 10
15.9%
, 8
12.7%
5 8
12.7%
6 5
7.9%
3 5
7.9%
9 4
 
6.3%
8 4
 
6.3%
7 3
 
4.8%
4 3
 
4.8%
Other values (2) 3
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10
15.9%
2 10
15.9%
, 8
12.7%
5 8
12.7%
6 5
7.9%
3 5
7.9%
9 4
 
6.3%
8 4
 
6.3%
7 3
 
4.8%
4 3
 
4.8%
Other values (2) 3
 
4.8%

‘12년까지시설량
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Memory size372.0 B
2024-03-14T09:37:48.327354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4117647
Min length1

Characters and Unicode

Total characters75
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row67,335
2nd row44,684
3rd row5,787
4th row4,925
5th row150
ValueCountFrequency (%)
44,684 1
 
5.9%
200 1
 
5.9%
3,700 1
 
5.9%
8,250 1
 
5.9%
10,701 1
 
5.9%
22,651 1
 
5.9%
1
 
5.9%
1 1
 
5.9%
67,335 1
 
5.9%
5,787 1
 
5.9%
Other values (7) 7
41.2%
2024-03-14T09:37:48.596071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 11
14.7%
1 10
13.3%
4 8
10.7%
2 8
10.7%
0 8
10.7%
3 7
9.3%
5 6
8.0%
7 6
8.0%
6 4
 
5.3%
8 4
 
5.3%
Other values (2) 3
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
84.0%
Other Punctuation 11
 
14.7%
Dash Punctuation 1
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
15.9%
4 8
12.7%
2 8
12.7%
0 8
12.7%
3 7
11.1%
5 6
9.5%
7 6
9.5%
6 4
 
6.3%
8 4
 
6.3%
9 2
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 11
14.7%
1 10
13.3%
4 8
10.7%
2 8
10.7%
0 8
10.7%
3 7
9.3%
5 6
8.0%
7 6
8.0%
6 4
 
5.3%
8 4
 
5.3%
Other values (2) 3
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 11
14.7%
1 10
13.3%
4 8
10.7%
2 8
10.7%
0 8
10.7%
3 7
9.3%
5 6
8.0%
7 6
8.0%
6 4
 
5.3%
8 4
 
5.3%
Other values (2) 3
 
4.0%

‘13년실적면적
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
15 
-
9 
112
2 
144
2 
368
 
1

Length

Max length4
Median length3.5
Mean length2.9
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row368
2nd row224
3rd row-
4th row<NA>
5th row-

Common Values

ValueCountFrequency (%)
<NA> 15
50.0%
- 9
30.0%
112 2
 
6.7%
144 2
 
6.7%
368 1
 
3.3%
224 1
 
3.3%

Length

2024-03-14T09:37:48.710864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:48.833875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
50.0%
9
30.0%
112 2
 
6.7%
144 2
 
6.7%
368 1
 
3.3%
224 1
 
3.3%

‘13년실적시설량
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
15 
-
9 
12
2 
398
 
1
386
 
1
Other values (2)
2 

Length

Max length4
Median length3.5
Mean length2.7666667
Min length1

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row398
2nd row386
3rd row-
4th row<NA>
5th row-

Common Values

ValueCountFrequency (%)
<NA> 15
50.0%
- 9
30.0%
12 2
 
6.7%
398 1
 
3.3%
386 1
 
3.3%
377 1
 
3.3%
9 1
 
3.3%

Length

2024-03-14T09:37:48.949335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:37:49.059292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
50.0%
9
30.0%
12 2
 
6.7%
398 1
 
3.3%
386 1
 
3.3%
377 1
 
3.3%
9 1
 
3.3%

시설율(%)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Infinite0
Infinite (%)0.0%
Mean48.823529
Minimum4.2
Maximum94.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-14T09:37:49.148224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile7.48
Q141.5
median47.5
Q367.2
95-th percentile84.96
Maximum94.4
Range90.2
Interquartile range (IQR)25.7

Descriptive statistics

Standard deviation24.982357
Coefficient of variation (CV)0.51168683
Kurtosis-0.31260628
Mean48.823529
Median Absolute Deviation (MAD)19.7
Skewness-0.11026971
Sum830
Variance624.11816
MonotonicityNot monotonic
2024-03-14T09:37:49.242453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
47.2 1
 
3.3%
82.6 1
 
3.3%
53.6 1
 
3.3%
43.4 1
 
3.3%
47.5 1
 
3.3%
4.2 1
 
3.3%
21.1 1
 
3.3%
8.3 1
 
3.3%
47.3 1
 
3.3%
94.4 1
 
3.3%
Other values (7) 7
23.3%
(Missing) 13
43.3%
ValueCountFrequency (%)
4.2 1
3.3%
8.3 1
3.3%
21.1 1
3.3%
22.6 1
3.3%
41.5 1
3.3%
43.4 1
3.3%
47.2 1
3.3%
47.3 1
3.3%
47.5 1
3.3%
50.0 1
3.3%
ValueCountFrequency (%)
94.4 1
3.3%
82.6 1
3.3%
77.9 1
3.3%
67.8 1
3.3%
67.2 1
3.3%
53.6 1
3.3%
53.4 1
3.3%
50.0 1
3.3%
47.5 1
3.3%
47.3 1
3.3%

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Interactions

2024-03-14T09:37:45.994228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:37:49.320925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
-단위:ha,개)적지면적시설면적‘12년까지면적‘12년까지시설량‘13년실적면적‘13년실적시설량시설율(%)
-1.0000.7261.0001.0001.0001.0000.7800.9640.000
단위:ha,개)0.7261.0001.0001.0001.0001.0000.0000.0001.000
적지면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
시설면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
‘12년까지면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
‘12년까지시설량1.0001.0001.0001.0001.0001.0001.0001.0001.000
‘13년실적면적0.7800.0001.0001.0001.0001.0001.0001.0000.000
‘13년실적시설량0.9640.0001.0001.0001.0001.0001.0001.0000.000
시설율(%)0.0001.0001.0001.0001.0001.0000.0000.0001.000
2024-03-14T09:37:49.455271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
-‘13년실적면적‘13년실적시설량
-1.0000.7180.658
‘13년실적면적0.7181.0000.949
‘13년실적시설량0.6580.9491.000
2024-03-14T09:37:49.527664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설율(%)-‘13년실적면적‘13년실적시설량
시설율(%)1.0000.0000.0000.000
-0.0001.0000.7180.658
‘13년실적면적0.0000.7181.0000.949
‘13년실적시설량0.0000.6580.9491.000

Missing values

2024-03-14T09:37:46.072370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:37:46.209433image/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.
2024-03-14T09:37:46.351675image/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

-단위:ha,개)적지면적시설면적‘12년까지면적‘12년까지시설량‘13년실적면적‘13년실적시설량시설율(%)Unnamed: 9
0수역별합계33,62815,89915,53167,33536839847.3<NA>
1군산시계21,50310,1399,91544,68422438647.2<NA>
2군산시십이동파1,3689289285,787--67.8<NA>
3군산시연도1,6401,2781,2784,925<NA><NA>77.9<NA>
4군산시흑도1062424150--22.6<NA>
5군산시관리도1,0485605601,389--53.4<NA>
6군산시말도8,2063,4083,40817,364--41.5<NA>
7군산시어청도4,6713,1413,14114,242<NA><NA>67.2<NA>
8군산시명도288272272314--94.4<NA>
9군산시방축도512256256312--50.0<NA>
-단위:ha,개)적지면적시설면적‘12년까지면적‘12년까지시설량‘13년실적면적‘13년실적시설량시설율(%)Unnamed: 9
20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

-단위:ha,개)적지면적시설면적‘12년까지면적‘12년까지시설량‘13년실적면적‘13년실적시설량시설율(%)# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA>13