Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory152.0 B

Variable types

Text2
Categorical11
Numeric3
DateTime1

Dataset

Description2022년 드론 촬영을 통한 고해상도 이미지를 판독하여 농업 디지털전자지도(팜맵) 기반으로 생성한 제주 특별자치도 농지별 재배 현황 및 속성값 정보 목록
Author재단법인제주연구원
URLhttps://www.data.go.kr/data/15108493/fileData.do

Alerts

영상촬영년도 has constant value ""Constant
변경구분코드 has constant value ""Constant
변경구분명 has constant value ""Constant
판독영상구분코드 has constant value ""Constant
판독영상구분명 has constant value ""Constant
판독입력일자 has constant value ""Constant
갱신이력코드 has constant value ""Constant
갱신이력명 has constant value ""Constant
도엽번호 has constant value ""Constant
판독명 is highly overall correlated with 판독코드 and 1 other fieldsHigh correlation
작물구분 is highly overall correlated with 판독코드 and 1 other fieldsHigh correlation
지번코드 is highly overall correlated with 읍면동코드 and 1 other fieldsHigh correlation
읍면동코드 is highly overall correlated with 지번코드 and 1 other fieldsHigh correlation
판독코드 is highly overall correlated with 판독명 and 1 other fieldsHigh correlation
읍면동명 is highly overall correlated with 지번코드 and 1 other fieldsHigh correlation
팜맵고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:56:54.800185
Analysis finished2023-12-12 16:56:57.850618
Duration3.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

팜맵고유번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:56:58.132331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters80000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row09764878
2nd row09774657
3rd row09659369
4th row09708721
5th row09767176
ValueCountFrequency (%)
09764878 1
 
< 0.1%
e0003538 1
 
< 0.1%
13010556 1
 
< 0.1%
09666109 1
 
< 0.1%
13012659 1
 
< 0.1%
09669934 1
 
< 0.1%
09777403 1
 
< 0.1%
12784023 1
 
< 0.1%
13012394 1
 
< 0.1%
09771414 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T01:56:58.621235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15217
19.0%
9 13000
16.2%
7 9424
11.8%
6 9202
11.5%
1 6741
8.4%
8 6498
8.1%
5 5629
 
7.0%
3 4813
 
6.0%
4 4563
 
5.7%
2 4520
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79607
99.5%
Uppercase Letter 393
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15217
19.1%
9 13000
16.3%
7 9424
11.8%
6 9202
11.6%
1 6741
8.5%
8 6498
8.2%
5 5629
 
7.1%
3 4813
 
6.0%
4 4563
 
5.7%
2 4520
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
E 393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79607
99.5%
Latin 393
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15217
19.1%
9 13000
16.3%
7 9424
11.8%
6 9202
11.6%
1 6741
8.5%
8 6498
8.2%
5 5629
 
7.1%
3 4813
 
6.0%
4 4563
 
5.7%
2 4520
 
5.7%
Latin
ValueCountFrequency (%)
E 393
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15217
19.0%
9 13000
16.2%
7 9424
11.8%
6 9202
11.5%
1 6741
8.4%
8 6498
8.1%
5 5629
 
7.0%
3 4813
 
6.0%
4 4563
 
5.7%
2 4520
 
5.7%

영상촬영년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

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 10000
100.0%

Length

2023-12-13T01:56:58.784896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:58.871629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

지번코드
Real number (ℝ)

HIGH CORRELATION 

Distinct9524
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.011022 × 1018
Minimum5.0110102 × 1018
Maximum5.0110256 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:56:58.982304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.0110102 × 1018
5-th percentile5.0110116 × 1018
Q15.0110139 × 1018
median5.0110253 × 1018
Q35.0110253 × 1018
95-th percentile5.0110256 × 1018
Maximum5.0110256 × 1018
Range1.54281 × 1013
Interquartile range (IQR)1.1436995 × 1013

Descriptive statistics

Standard deviation5.5848681 × 1012
Coefficient of variation (CV)1.1145168 × 10-6
Kurtosis-0.75745533
Mean5.011022 × 1018
Median Absolute Deviation (MAD)2.9597753 × 1011
Skewness-1.0937511
Sum8.8627415 × 1018
Variance3.1190752 × 1025
MonotonicityNot monotonic
2023-12-13T01:56:59.149715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5011025626112440001 13
 
0.1%
5011025339200850000 7
 
0.1%
5011012200200140001 6
 
0.1%
5011025627119480001 5
 
0.1%
5011025034200110000 5
 
0.1%
5011013400117300004 5
 
0.1%
5011025033122430002 5
 
0.1%
5011025626114000127 4
 
< 0.1%
5011011600200710000 4
 
< 0.1%
5011013900200630001 4
 
< 0.1%
Other values (9514) 9942
99.4%
ValueCountFrequency (%)
5011010200100060008 1
< 0.1%
5011010200100150015 1
< 0.1%
5011010400100020014 1
< 0.1%
5011010400100420002 1
< 0.1%
5011010400100680013 1
< 0.1%
5011010400119820011 1
< 0.1%
5011010400120140003 1
< 0.1%
5011010500103050109 1
< 0.1%
5011010600100430003 1
< 0.1%
5011010700100180001 1
< 0.1%
ValueCountFrequency (%)
5011025628200040000 1
< 0.1%
5011025628200030002 2
< 0.1%
5011025628136030000 1
< 0.1%
5011025628135930013 1
< 0.1%
5011025628135750000 1
< 0.1%
5011025628135730006 1
< 0.1%
5011025628135620000 2
< 0.1%
5011025628135600003 1
< 0.1%
5011025628135520000 1
< 0.1%
5011025628135430000 1
< 0.1%

읍면동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50110219
Minimum50110102
Maximum50110256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:56:59.359986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50110102
5-th percentile50110116
Q150110139
median50110253
Q350110253
95-th percentile50110256
Maximum50110256
Range154
Interquartile range (IQR)114

Descriptive statistics

Standard deviation55.719862
Coefficient of variation (CV)1.1119461 × 10-6
Kurtosis-0.75699942
Mean50110219
Median Absolute Deviation (MAD)3
Skewness-1.0938619
Sum5.0110219 × 1011
Variance3104.703
MonotonicityNot monotonic
2023-12-13T01:56:59.500470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
50110253 3503
35.0%
50110250 2357
23.6%
50110256 1500
15.0%
50110139 246
 
2.5%
50110133 182
 
1.8%
50110134 176
 
1.8%
50110116 174
 
1.7%
50110136 154
 
1.5%
50110122 152
 
1.5%
50110120 150
 
1.5%
Other values (30) 1406
14.1%
ValueCountFrequency (%)
50110102 2
 
< 0.1%
50110104 5
 
0.1%
50110105 1
 
< 0.1%
50110106 1
 
< 0.1%
50110107 24
 
0.2%
50110108 3
 
< 0.1%
50110109 33
 
0.3%
50110110 13
 
0.1%
50110111 45
 
0.4%
50110112 129
1.3%
ValueCountFrequency (%)
50110256 1500
15.0%
50110253 3503
35.0%
50110250 2357
23.6%
50110140 56
 
0.6%
50110139 246
 
2.5%
50110138 97
 
1.0%
50110137 61
 
0.6%
50110136 154
 
1.5%
50110135 95
 
0.9%
50110134 176
 
1.8%

읍면동명
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
애월읍
3503 
한림읍
2357 
구좌읍
1500 
해안동
 
246
회천동
 
182
Other values (35)
2212 

Length

Max length4
Median length3
Mean length3.101
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row한림읍
2nd row한림읍
3rd row외도일동
4th row구좌읍
5th row한림읍

Common Values

ValueCountFrequency (%)
애월읍 3503
35.0%
한림읍 2357
23.6%
구좌읍 1500
15.0%
해안동 246
 
2.5%
회천동 182
 
1.8%
오등동 176
 
1.8%
봉개동 174
 
1.7%
영평동 154
 
1.5%
노형동 152
 
1.5%
오라이동 150
 
1.5%
Other values (30) 1406
14.1%

Length

2023-12-13T01:56:59.642843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
애월읍 3503
35.0%
한림읍 2357
23.6%
구좌읍 1500
15.0%
해안동 246
 
2.5%
회천동 182
 
1.8%
오등동 176
 
1.8%
봉개동 174
 
1.7%
영평동 154
 
1.5%
노형동 152
 
1.5%
오라이동 150
 
1.5%
Other values (30) 1406
14.1%

변경구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T01:56:59.769192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:59.858851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

변경구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신규
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 10000
100.0%

Length

2023-12-13T01:56:59.976372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:00.122127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 10000
100.0%

지번
Text

Distinct8414
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:57:00.494453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.6484
Min length2

Characters and Unicode

Total characters56484
Distinct characters35
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

Unique7184 ?
Unique (%)71.8%

Sample

1st row1-1전
2nd row1607-1 전
3rd row1192과
4th row626임
5th row870-2전
ValueCountFrequency (%)
전 906
 
7.6%
과 499
 
4.2%
임 256
 
2.1%
대 91
 
0.8%
목 80
 
0.7%
잡 30
 
0.3%
창 18
 
0.2%
1244-1임 13
 
0.1%
사 9
 
0.1%
산85임 7
 
0.1%
Other values (8364) 10037
84.0%
2023-12-13T01:57:01.204836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8673
15.4%
2 5772
10.2%
전 5262
9.3%
- 4487
 
7.9%
3 4256
 
7.5%
4 3430
 
6.1%
5 3145
 
5.6%
7 2990
 
5.3%
6 2977
 
5.3%
8 2937
 
5.2%
Other values (25) 12555
22.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39643
70.2%
Other Letter 10408
 
18.4%
Dash Punctuation 4487
 
7.9%
Space Separator 1946
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 5262
50.6%
과 1884
 
18.1%
임 1831
 
17.6%
목 437
 
4.2%
산 408
 
3.9%
대 292
 
2.8%
잡 116
 
1.1%
답 61
 
0.6%
묘 22
 
0.2%
창 19
 
0.2%
Other values (13) 76
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 8673
21.9%
2 5772
14.6%
3 4256
10.7%
4 3430
 
8.7%
5 3145
 
7.9%
7 2990
 
7.5%
6 2977
 
7.5%
8 2937
 
7.4%
9 2735
 
6.9%
0 2728
 
6.9%
Dash Punctuation
ValueCountFrequency (%)
- 4487
100.0%
Space Separator
ValueCountFrequency (%)
1946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46076
81.6%
Hangul 10408
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 5262
50.6%
과 1884
 
18.1%
임 1831
 
17.6%
목 437
 
4.2%
산 408
 
3.9%
대 292
 
2.8%
잡 116
 
1.1%
답 61
 
0.6%
묘 22
 
0.2%
창 19
 
0.2%
Other values (13) 76
 
0.7%
Common
ValueCountFrequency (%)
1 8673
18.8%
2 5772
12.5%
- 4487
9.7%
3 4256
9.2%
4 3430
 
7.4%
5 3145
 
6.8%
7 2990
 
6.5%
6 2977
 
6.5%
8 2937
 
6.4%
9 2735
 
5.9%
Other values (2) 4674
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46076
81.6%
Hangul 10408
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8673
18.8%
2 5772
12.5%
- 4487
9.7%
3 4256
9.2%
4 3430
 
7.4%
5 3145
 
6.8%
7 2990
 
6.5%
6 2977
 
6.5%
8 2937
 
6.4%
9 2735
 
5.9%
Other values (2) 4674
10.1%
Hangul
ValueCountFrequency (%)
전 5262
50.6%
과 1884
 
18.1%
임 1831
 
17.6%
목 437
 
4.2%
산 408
 
3.9%
대 292
 
2.8%
잡 116
 
1.1%
답 61
 
0.6%
묘 22
 
0.2%
창 19
 
0.2%
Other values (13) 76
 
0.7%

판독코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.2912
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:57:01.455924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q111
median12
Q313
95-th percentile16
Maximum17
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.3610017
Coefficient of variation (CV)0.29766559
Kurtosis0.45585548
Mean11.2912
Median Absolute Deviation (MAD)1
Skewness-0.90291236
Sum112912
Variance11.296332
MonotonicityNot monotonic
2023-12-13T01:57:01.695119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
12 2801
28.0%
11 2096
21.0%
15 887
 
8.9%
13 828
 
8.3%
16 639
 
6.4%
5 638
 
6.4%
14 528
 
5.3%
6 485
 
4.9%
4 242
 
2.4%
9 197
 
2.0%
Other values (7) 659
 
6.6%
ValueCountFrequency (%)
1 109
 
1.1%
2 8
 
0.1%
3 61
 
0.6%
4 242
 
2.4%
5 638
6.4%
6 485
4.9%
7 178
 
1.8%
8 42
 
0.4%
9 197
 
2.0%
10 87
 
0.9%
ValueCountFrequency (%)
17 174
 
1.7%
16 639
 
6.4%
15 887
 
8.9%
14 528
 
5.3%
13 828
 
8.3%
12 2801
28.0%
11 2096
21.0%
10 87
 
0.9%
9 197
 
2.0%
8 42
 
0.4%

판독명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
휴경지
2801 
감귤
2096 
기타경작지
887 
비경지
828 
시설
639 
Other values (12)
2749 

Length

Max length5
Median length4
Mean length2.7709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴경지
2nd row휴경지
3rd row감귤
4th row휴경지
5th row기타경작지

Common Values

ValueCountFrequency (%)
휴경지 2801
28.0%
감귤 2096
21.0%
기타경작지 887
 
8.9%
비경지 828
 
8.3%
시설 639
 
6.4%
양배추 638
 
6.4%
초지 528
 
5.3%
브로콜리 485
 
4.9%
당근 242
 
2.4%
무 197
 
2.0%
Other values (7) 659
 
6.6%

Length

2023-12-13T01:57:01.978639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴경지 2801
28.0%
감귤 2096
21.0%
기타경작지 887
 
8.9%
비경지 828
 
8.3%
시설 639
 
6.4%
양배추 638
 
6.4%
초지 528
 
5.3%
브로콜리 485
 
4.9%
당근 242
 
2.4%
무 197
 
2.0%
Other values (7) 659
 
6.6%

판독영상구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-13T01:57:02.191658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:02.311866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

판독영상구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
항공영상
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
항공영상 10000
100.0%

Length

2023-12-13T01:57:02.426719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:02.539490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
항공영상 10000
100.0%

판독입력일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-30 00:00:00
Maximum2022-08-30 00:00:00
2023-12-13T01:57:02.641131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:57:02.760749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

갱신이력코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-13T01:57:02.909719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:03.039825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

갱신이력명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신규
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 10000
100.0%

Length

2023-12-13T01:57:03.162007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:03.260047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 10000
100.0%

도엽번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
336
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row336
2nd row336
3rd row336
4th row336
5th row336

Common Values

ValueCountFrequency (%)
336 10000
100.0%

Length

2023-12-13T01:57:03.371539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:57:03.473838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
336 10000
100.0%

작물구분
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
휴경지
2801 
감귤
2096 
기타경작지
887 
비경지
828 
시설
639 
Other values (12)
2749 

Length

Max length5
Median length4
Mean length2.7709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴경지
2nd row휴경지
3rd row감귤
4th row휴경지
5th row기타경작지

Common Values

ValueCountFrequency (%)
휴경지 2801
28.0%
감귤 2096
21.0%
기타경작지 887
 
8.9%
비경지 828
 
8.3%
시설 639
 
6.4%
양배추 638
 
6.4%
초지 528
 
5.3%
브로콜리 485
 
4.9%
당근 242
 
2.4%
무 197
 
2.0%
Other values (7) 659
 
6.6%

Length

2023-12-13T01:57:03.592226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴경지 2801
28.0%
감귤 2096
21.0%
기타경작지 887
 
8.9%
비경지 828
 
8.3%
시설 639
 
6.4%
양배추 638
 
6.4%
초지 528
 
5.3%
브로콜리 485
 
4.9%
당근 242
 
2.4%
무 197
 
2.0%
Other values (7) 659
 
6.6%

Interactions

2023-12-13T01:56:56.725923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:55.847799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:56.278711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:56.866224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:56.008198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:56.411142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:56.994450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:56.141729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:56.562008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:57:03.701829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지번코드읍면동코드읍면동명판독코드판독명작물구분
지번코드1.0001.0001.0000.2570.2960.296
읍면동코드1.0001.0001.0000.2570.2960.296
읍면동명1.0001.0001.0000.5240.5300.530
판독코드0.2570.2570.5241.0001.0001.000
판독명0.2960.2960.5301.0001.0001.000
작물구분0.2960.2960.5301.0001.0001.000
2023-12-13T01:57:03.824801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명판독명작물구분
읍면동명1.0000.1690.169
판독명0.1691.0001.000
작물구분0.1691.0001.000
2023-12-13T01:57:03.940799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지번코드읍면동코드판독코드읍면동명판독명작물구분
지번코드1.0000.970-0.0930.9980.1680.168
읍면동코드0.9701.000-0.0920.9980.1680.168
판독코드-0.093-0.0921.0000.1871.0001.000
읍면동명0.9980.9980.1871.0000.1690.169
판독명0.1680.1681.0000.1691.0001.000
작물구분0.1680.1681.0000.1691.0001.000

Missing values

2023-12-13T01:56:57.482511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:56:57.708370image/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

팜맵고유번호영상촬영년도지번코드읍면동코드읍면동명변경구분코드변경구분명지번판독코드판독명판독영상구분코드판독영상구분명판독입력일자갱신이력코드갱신이력명도엽번호작물구분
20377097648782022501102502110001000150110250한림읍0신규1-1전12휴경지1항공영상2022-08-301신규336휴경지
26241097746572022501102502511607000150110250한림읍0신규1607-1 전12휴경지1항공영상2022-08-301신규336휴경지
7783096593692022501101230011192000050110123외도일동0신규1192과11감귤1항공영상2022-08-301신규336감귤
65749097087212022501102562410626000050110256구좌읍0신규626임12휴경지1항공영상2022-08-301신규336휴경지
20984097671762022501102502110870000250110250한림읍0신규870-2전15기타경작지1항공영상2022-08-301신규336기타경작지
70041097017712022501102562611544000750110256구좌읍0신규1544-7 임12휴경지1항공영상2022-08-301신규336휴경지
7076096540882022501101220013381000050110122노형동0신규3381과11감귤1항공영상2022-08-301신규336감귤
53810098139522022501102533610560000050110253애월읍0신규560임12휴경지1항공영상2022-08-301신규336휴경지
62481096845042022501102534112093000050110253애월읍0신규2093전15기타경작지1항공영상2022-08-301신규336기타경작지
10022096666062022501101300011192000050110130도련일동0신규1192과11감귤1항공영상2022-08-301신규336감귤
팜맵고유번호영상촬영년도지번코드읍면동코드읍면동명변경구분코드변경구분명지번판독코드판독명판독영상구분코드판독영상구분명판독입력일자갱신이력코드갱신이력명도엽번호작물구분
14940096625882022501101350010447000050110135월평동0신규447 전16시설1항공영상2022-08-301신규336시설
27386097714332022501102502513114000050110250한림읍0신규3114전12휴경지1항공영상2022-08-301신규336휴경지
38163096813202022501102532110614000050110253애월읍0신규614임17묘목1항공영상2022-08-301신규336묘목
24261097646672022501102502311749000250110250한림읍0신규1749-2전7비트1항공영상2022-08-301신규336비트
32829097524482022501102502913951000050110250한림읍0신규3951전12휴경지1항공영상2022-08-301신규336휴경지
36511097579152022501102503311197000350110250한림읍0신규1197-3 도12휴경지1항공영상2022-08-301신규336휴경지
26398097724902022501102502511810000050110250한림읍0신규1810 전11감귤1항공영상2022-08-301신규336감귤
57195098111162022501102533711562000450110253애월읍0신규1562-4임5양배추1항공영상2022-08-301신규336양배추
10146130107652022501101300011434000050110130도련일동0신규1434과11감귤1항공영상2022-08-301신규336감귤
24364097648492022501102502311985000050110250한림읍0신규1985전12휴경지1항공영상2022-08-301신규336휴경지