Overview

Dataset statistics

Number of variables28
Number of observations501
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory122.4 KiB
Average record size in memory250.3 B

Variable types

Categorical3
Text1
Numeric24

Dataset

Description환경공간정보서비스에서 제공하는 년도별 중분류 토지피복정보 통계 현황 데이터 입니다.(2007년~2018년)
Author환경부
URLhttps://www.data.go.kr/data/15124208/fileData.do

Alerts

미구축 is highly imbalanced (95.3%)Imbalance
주거지역 is highly skewed (γ1 = 21.01280561)Skewed
상업지역 is highly skewed (γ1 = 21.83181229)Skewed
문화체육휴양시설 is highly skewed (γ1 = 20.27002844)Skewed
교통지역 is highly skewed (γ1 = 21.85434999)Skewed
인공초지 is highly skewed (γ1 = 22.03044291)Skewed
내륙습지 is highly skewed (γ1 = 22.04795615)Skewed
자연나지 is highly skewed (γ1 = 22.19110853)Skewed
인공나지 is highly skewed (γ1 = 20.26996182)Skewed
내륙수 is highly skewed (γ1 = 22.24715111)Skewed
주거지역 has unique valuesUnique
인공나지 has unique valuesUnique
공업지역 has 29 (5.8%) zerosZeros
문화체육휴양시설 has 20 (4.0%) zerosZeros
논 has 75 (15.0%) zerosZeros
밭 has 15 (3.0%) zerosZeros
시설재배지 has 87 (17.4%) zerosZeros
과수원 has 98 (19.6%) zerosZeros
기타재배지 has 78 (15.6%) zerosZeros
활엽수림 has 13 (2.6%) zerosZeros
침엽수림 has 14 (2.8%) zerosZeros
혼효림 has 7 (1.4%) zerosZeros
자연초지 has 48 (9.6%) zerosZeros
인공초지 has 159 (31.7%) zerosZeros
구기타초지 has 175 (34.9%) zerosZeros
내륙습지 has 54 (10.8%) zerosZeros
연안습지 has 361 (72.1%) zerosZeros
자연나지 has 183 (36.5%) zerosZeros
해양수 has 363 (72.5%) zerosZeros

Reproduction

Analysis started2023-12-12 12:00:07.525741
Analysis finished2023-12-12 12:00:07.885595
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료년도
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2007
234 
2013
175 
2009
91 
2018
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2007
2nd row2007
3rd row2007
4th row2007
5th row2007

Common Values

ValueCountFrequency (%)
2007 234
46.7%
2013 175
34.9%
2009 91
 
18.2%
2018 1
 
0.2%

Length

2023-12-12T21:00:07.960441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:08.106753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2007 234
46.7%
2013 175
34.9%
2009 91
 
18.2%
2018 1
 
0.2%

시도
Categorical

Distinct18
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
경기도
130 
서울특별시
75 
전라남도
44 
충청남도
37 
인천광역시
30 
Other values (13)
185 

Length

Max length7
Median length5
Mean length4.0479042
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row강원도
2nd row경기도
3rd row경기도
4th row경기도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 130
25.9%
서울특별시 75
15.0%
전라남도 44
 
8.8%
충청남도 37
 
7.4%
인천광역시 30
 
6.0%
전라북도 30
 
6.0%
충청북도 30
 
6.0%
경상북도 24
 
4.8%
경상남도 22
 
4.4%
강원도 19
 
3.8%
Other values (8) 60
12.0%

Length

2023-12-12T21:00:08.259450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 130
25.9%
서울특별시 75
15.0%
전라남도 44
 
8.8%
충청남도 37
 
7.4%
인천광역시 30
 
6.0%
전라북도 30
 
6.0%
충청북도 30
 
6.0%
경상북도 24
 
4.8%
경상남도 22
 
4.4%
강원도 19
 
3.8%
Other values (8) 60
12.0%

시군구
Text

Distinct258
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T21:00:08.641181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.5189621
Min length2

Characters and Unicode

Total characters1763
Distinct characters143
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)21.8%

Sample

1st row횡성군
2nd row가평군
3rd row고양시덕양구
4th row고양시일산동구
5th row고양시일산서구
ValueCountFrequency (%)
중구 12
 
2.3%
동구 11
 
2.1%
서구 10
 
1.9%
남구 8
 
1.5%
북구 5
 
1.0%
강서구 4
 
0.8%
수원시 4
 
0.8%
청주시 4
 
0.8%
부평구 3
 
0.6%
남동구 3
 
0.6%
Other values (257) 462
87.8%
2023-12-12T21:00:09.239251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 242
 
13.7%
시 213
 
12.1%
군 146
 
8.3%
천 54
 
3.1%
양 48
 
2.7%
주 46
 
2.6%
산 45
 
2.6%
동 44
 
2.5%
성 43
 
2.4%
안 42
 
2.4%
Other values (133) 840
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1736
98.5%
Space Separator 25
 
1.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 242
 
13.9%
시 213
 
12.3%
군 146
 
8.4%
천 54
 
3.1%
양 48
 
2.8%
주 46
 
2.6%
산 45
 
2.6%
동 44
 
2.5%
성 43
 
2.5%
안 42
 
2.4%
Other values (131) 813
46.8%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1736
98.5%
Common 27
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 242
 
13.9%
시 213
 
12.3%
군 146
 
8.4%
천 54
 
3.1%
양 48
 
2.8%
주 46
 
2.6%
산 45
 
2.6%
동 44
 
2.5%
성 43
 
2.5%
안 42
 
2.4%
Other values (131) 813
46.8%
Common
ValueCountFrequency (%)
25
92.6%
/ 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1736
98.5%
ASCII 27
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 242
 
13.9%
시 213
 
12.3%
군 146
 
8.4%
천 54
 
3.1%
양 48
 
2.8%
주 46
 
2.6%
산 45
 
2.6%
동 44
 
2.5%
성 43
 
2.5%
안 42
 
2.4%
Other values (131) 813
46.8%
ASCII
ValueCountFrequency (%)
25
92.6%
/ 2
 
7.4%

주거지역
Real number (ℝ)

SKEWED  UNIQUE 

Distinct501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.351599
Minimum0.8612
Maximum758.5028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:09.419254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8612
5-th percentile3.229993
Q16.0089
median9.0957
Q313.8624
95-th percentile24.345
Maximum758.5028
Range757.6416
Interquartile range (IQR)7.8535

Descriptive statistics

Standard deviation34.117082
Coefficient of variation (CV)2.7621592
Kurtosis460.07657
Mean12.351599
Median Absolute Deviation (MAD)3.6134464
Skewness21.012806
Sum6188.151
Variance1163.9753
MonotonicityNot monotonic
2023-12-12T21:00:09.593621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.8078 1
 
0.2%
2.27649121 1
 
0.2%
8.93211957 1
 
0.2%
5.45771465 1
 
0.2%
2.25200805 1
 
0.2%
5.89615358 1
 
0.2%
4.08811793 1
 
0.2%
2.18836277 1
 
0.2%
15.85129866 1
 
0.2%
8.42219425 1
 
0.2%
Other values (491) 491
98.0%
ValueCountFrequency (%)
0.8612 1
0.2%
0.93514312 1
0.2%
1.0328 1
0.2%
1.33516648 1
0.2%
1.47459309 1
0.2%
1.61818183 1
0.2%
1.6824 1
0.2%
1.7403 1
0.2%
1.7511 1
0.2%
1.7513 1
0.2%
ValueCountFrequency (%)
758.5027967 1
0.2%
46.1648 1
0.2%
43.3086 1
0.2%
39.2983 1
0.2%
38.2858 1
0.2%
34.7594 1
0.2%
34.5488 1
0.2%
34.5171 1
0.2%
33.0731 1
0.2%
31.3261 1
0.2%

공업지역
Real number (ℝ)

ZEROS 

Distinct467
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6166546
Minimum0
Maximum266.49573
Zeros29
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:09.787430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.29460069
median0.9974
Q33.1713
95-th percentile14.2383
Maximum266.49573
Range266.49573
Interquartile range (IQR)2.8766993

Descriptive statistics

Standard deviation12.84632
Coefficient of variation (CV)3.5519897
Kurtosis352.38355
Mean3.6166546
Median Absolute Deviation (MAD)0.9138
Skewness17.403073
Sum1811.9439
Variance165.02793
MonotonicityNot monotonic
2023-12-12T21:00:09.975710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
5.8%
0.0267 2
 
0.4%
0.2532 2
 
0.4%
0.0025 2
 
0.4%
0.0045 2
 
0.4%
0.0261 2
 
0.4%
0.0159 2
 
0.4%
0.10882325 1
 
0.2%
0.82159324 1
 
0.2%
0.33229345 1
 
0.2%
Other values (457) 457
91.2%
ValueCountFrequency (%)
0.0 29
5.8%
4.15e-06 1
 
0.2%
0.0025 2
 
0.4%
0.00252802 1
 
0.2%
0.00421438 1
 
0.2%
0.0045 2
 
0.4%
0.00698177 1
 
0.2%
0.01016466 1
 
0.2%
0.0113 1
 
0.2%
0.01162381 1
 
0.2%
ValueCountFrequency (%)
266.4957285 1
0.2%
44.1603 1
0.2%
37.65665749 1
0.2%
36.7844 1
0.2%
20.4628 1
0.2%
19.758 1
0.2%
19.7525 1
0.2%
19.7128 1
0.2%
19.3793 1
0.2%
19.2972 1
0.2%

상업지역
Real number (ℝ)

SKEWED 

Distinct497
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8925778
Minimum0.0098
Maximum326.92269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:10.165057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0098
5-th percentile0.4489
Q10.9981
median1.7607
Q32.8417718
95-th percentile5.7290009
Maximum326.92269
Range326.91289
Interquartile range (IQR)1.8436718

Descriptive statistics

Standard deviation14.627333
Coefficient of variation (CV)5.0568504
Kurtosis484.42617
Mean2.8925778
Median Absolute Deviation (MAD)0.87384186
Skewness21.831812
Sum1449.1815
Variance213.95888
MonotonicityNot monotonic
2023-12-12T21:00:10.360263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4842 2
 
0.4%
1.9438 2
 
0.4%
0.9831 2
 
0.4%
3.3688 2
 
0.4%
5.08997146 1
 
0.2%
5.29570243 1
 
0.2%
3.21282744 1
 
0.2%
2.32367108 1
 
0.2%
1.2286542 1
 
0.2%
2.61056866 1
 
0.2%
Other values (487) 487
97.2%
ValueCountFrequency (%)
0.0098 1
0.2%
0.031 1
0.2%
0.0371 1
0.2%
0.1666 1
0.2%
0.2301 1
0.2%
0.2362 1
0.2%
0.2387 1
0.2%
0.2538 1
0.2%
0.2833 1
0.2%
0.30331157 1
0.2%
ValueCountFrequency (%)
326.9226878 1
0.2%
14.5663366 1
0.2%
14.52245499 1
0.2%
12.67438841 1
0.2%
10.1727747 1
0.2%
9.85687861 1
0.2%
9.64530959 1
0.2%
9.02479809 1
0.2%
8.80466078 1
0.2%
8.12617924 1
0.2%

문화체육휴양시설
Real number (ℝ)

SKEWED  ZEROS 

Distinct472
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36630139
Minimum0
Maximum36.645361
Zeros20
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:10.528526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0043
Q10.078
median0.17845095
Q30.34678277
95-th percentile0.9493
Maximum36.645361
Range36.645361
Interquartile range (IQR)0.26878277

Descriptive statistics

Standard deviation1.6809022
Coefficient of variation (CV)4.5888503
Kurtosis436.39245
Mean0.36630139
Median Absolute Deviation (MAD)0.11875095
Skewness20.270028
Sum183.51699
Variance2.8254323
MonotonicityNot monotonic
2023-12-12T21:00:10.715863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
4.0%
0.1083 2
 
0.4%
0.0918 2
 
0.4%
0.0025 2
 
0.4%
0.0314 2
 
0.4%
0.107 2
 
0.4%
0.2616 2
 
0.4%
0.0222 2
 
0.4%
0.513 2
 
0.4%
0.1535 2
 
0.4%
Other values (462) 463
92.4%
ValueCountFrequency (%)
0.0 20
4.0%
0.0025 2
 
0.4%
0.003 1
 
0.2%
0.0031 1
 
0.2%
0.0037 1
 
0.2%
0.0043 1
 
0.2%
0.0046 1
 
0.2%
0.0051 1
 
0.2%
0.0058 1
 
0.2%
0.0062 1
 
0.2%
ValueCountFrequency (%)
36.64536081 1
0.2%
4.7920003 1
0.2%
4.12474248 1
0.2%
2.98114449 1
0.2%
2.521 1
0.2%
2.45524598 1
0.2%
1.82875323 1
0.2%
1.7075 1
0.2%
1.7033 1
0.2%
1.5397 1
0.2%

교통지역
Real number (ℝ)

SKEWED 

Distinct498
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0329976
Minimum0.2652
Maximum676.14446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:10.900758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2652
5-th percentile1.4405
Q12.9229
median4.8994297
Q37.382
95-th percentile12.7363
Maximum676.14446
Range675.87926
Interquartile range (IQR)4.4591

Descriptive statistics

Standard deviation30.193795
Coefficient of variation (CV)4.2931616
Kurtosis485.14633
Mean7.0329976
Median Absolute Deviation (MAD)2.1675297
Skewness21.85435
Sum3523.5318
Variance911.66526
MonotonicityNot monotonic
2023-12-12T21:00:11.091577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.151 2
 
0.4%
3.1911 2
 
0.4%
1.8558 2
 
0.4%
4.38498378 1
 
0.2%
7.71329965 1
 
0.2%
5.61075453 1
 
0.2%
7.75073161 1
 
0.2%
5.23772271 1
 
0.2%
9.70636254 1
 
0.2%
7.97013175 1
 
0.2%
Other values (488) 488
97.4%
ValueCountFrequency (%)
0.2652 1
0.2%
0.7604 1
0.2%
0.7751 1
0.2%
0.8202 1
0.2%
0.8653 1
0.2%
0.9005 1
0.2%
0.9068 1
0.2%
0.9127 1
0.2%
1.068 1
0.2%
1.0981 1
0.2%
ValueCountFrequency (%)
676.1444644 1
0.2%
28.03154412 1
0.2%
24.08266653 1
0.2%
23.03714699 1
0.2%
22.64979758 1
0.2%
20.8613 1
0.2%
20.8082 1
0.2%
20.13381626 1
0.2%
18.13878252 1
0.2%
17.6801 1
0.2%

공공시설지역
Real number (ℝ)

Distinct498
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1925131
Minimum0.0803
Maximum123.32284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:11.289814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0803
5-th percentile0.4921
Q10.96
median1.5370361
Q32.3918
95-th percentile4.6675112
Maximum123.32284
Range123.24254
Interquartile range (IQR)1.4318

Descriptive statistics

Standard deviation5.6768831
Coefficient of variation (CV)2.5892128
Kurtosis416.69206
Mean2.1925131
Median Absolute Deviation (MAD)0.66363071
Skewness19.580463
Sum1098.4491
Variance32.227002
MonotonicityNot monotonic
2023-12-12T21:00:11.462189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3957 2
 
0.4%
0.9866 2
 
0.4%
0.8572 2
 
0.4%
1.1314 1
 
0.2%
0.21799667 1
 
0.2%
1.94767109 1
 
0.2%
1.73315568 1
 
0.2%
9.45423744 1
 
0.2%
3.5009494 1
 
0.2%
1.56111012 1
 
0.2%
Other values (488) 488
97.4%
ValueCountFrequency (%)
0.0803 1
0.2%
0.0838 1
0.2%
0.09825302 1
0.2%
0.1245 1
0.2%
0.18577562 1
0.2%
0.2006 1
0.2%
0.21799667 1
0.2%
0.2425 1
0.2%
0.28674894 1
0.2%
0.29444736 1
0.2%
ValueCountFrequency (%)
123.3228401 1
0.2%
14.3947 1
0.2%
13.52008989 1
0.2%
12.4991 1
0.2%
9.45423744 1
0.2%
9.4139 1
0.2%
9.1747 1
0.2%
9.1633 1
0.2%
9.0518 1
0.2%
7.5476 1
0.2%

논
Real number (ℝ)

ZEROS 

Distinct426
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.207887
Minimum0
Maximum1904.3167
Zeros75
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:11.663687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.462
median13.755298
Q379.8611
95-th percentile183.1596
Maximum1904.3167
Range1904.3167
Interquartile range (IQR)79.3991

Descriptive statistics

Standard deviation103.98254
Coefficient of variation (CV)2.0305962
Kurtosis201.74773
Mean51.207887
Median Absolute Deviation (MAD)13.755298
Skewness11.654067
Sum25655.151
Variance10812.369
MonotonicityNot monotonic
2023-12-12T21:00:11.877661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 75
 
15.0%
0.0082 2
 
0.4%
75.3418 1
 
0.2%
28.5929269 1
 
0.2%
43.94980808 1
 
0.2%
14.90255936 1
 
0.2%
54.22753202 1
 
0.2%
8.86889951 1
 
0.2%
29.16701091 1
 
0.2%
138.4179704 1
 
0.2%
Other values (416) 416
83.0%
ValueCountFrequency (%)
0.0 75
15.0%
0.00632887 1
 
0.2%
0.0065 1
 
0.2%
0.0082 2
 
0.4%
0.0086 1
 
0.2%
0.0105 1
 
0.2%
0.01052846 1
 
0.2%
0.01144388 1
 
0.2%
0.0161 1
 
0.2%
0.0235 1
 
0.2%
ValueCountFrequency (%)
1904.316707 1
0.2%
312.1693 1
0.2%
275.5968098 1
0.2%
268.6519 1
0.2%
264.5119 1
0.2%
263.6969867 1
0.2%
256.6777 1
0.2%
256.2435381 1
0.2%
251.2329407 1
0.2%
240.7446 1
0.2%

밭
Real number (ℝ)

ZEROS 

Distinct485
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.097469
Minimum0
Maximum1400.3159
Zeros15
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:12.378718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0118
Q11.8355683
median14.132
Q354.1869
95-th percentile103.9683
Maximum1400.3159
Range1400.3159
Interquartile range (IQR)52.351332

Descriptive statistics

Standard deviation72.838292
Coefficient of variation (CV)2.0753147
Kurtosis247.50193
Mean35.097469
Median Absolute Deviation (MAD)14.1107
Skewness13.487113
Sum17583.832
Variance5305.4168
MonotonicityNot monotonic
2023-12-12T21:00:12.522051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
3.0%
0.0213 2
 
0.4%
0.0118 2
 
0.4%
123.0824129 1
 
0.2%
22.71358648 1
 
0.2%
67.48263663 1
 
0.2%
13.12932885 1
 
0.2%
140.7717113 1
 
0.2%
92.89 1
 
0.2%
46.35282653 1
 
0.2%
Other values (475) 475
94.8%
ValueCountFrequency (%)
0.0 15
3.0%
0.00012457 1
 
0.2%
0.0017 1
 
0.2%
0.0023 1
 
0.2%
0.00270605 1
 
0.2%
0.00320998 1
 
0.2%
0.00347798 1
 
0.2%
0.0061 1
 
0.2%
0.0070487 1
 
0.2%
0.01013712 1
 
0.2%
ValueCountFrequency (%)
1400.315934 1
0.2%
290.9523724 1
0.2%
249.0051 1
0.2%
182.8081 1
0.2%
176.3143961 1
0.2%
172.8118775 1
0.2%
152.2109 1
0.2%
150.5346 1
0.2%
149.9344 1
0.2%
140.7717113 1
0.2%

시설재배지
Real number (ℝ)

ZEROS 

Distinct414
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9062166
Minimum0
Maximum140.28761
Zeros87
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:12.664812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0349
median0.5232
Q31.7188
95-th percentile7.4302
Maximum140.28761
Range140.28761
Interquartile range (IQR)1.6839

Descriptive statistics

Standard deviation6.9771168
Coefficient of variation (CV)3.660191
Kurtosis311.62309
Mean1.9062166
Median Absolute Deviation (MAD)0.5232
Skewness16.094086
Sum955.01452
Variance48.680159
MonotonicityNot monotonic
2023-12-12T21:00:12.794591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 87
 
17.4%
0.0343 2
 
0.4%
0.1479 1
 
0.2%
9.43668389 1
 
0.2%
2.12062274 1
 
0.2%
0.0900825 1
 
0.2%
0.92178567 1
 
0.2%
3.36867497 1
 
0.2%
1.37169522 1
 
0.2%
2.42622381 1
 
0.2%
Other values (404) 404
80.6%
ValueCountFrequency (%)
0.0 87
17.4%
0.0011 1
 
0.2%
0.0016 1
 
0.2%
0.00363741 1
 
0.2%
0.00551887 1
 
0.2%
0.00576864 1
 
0.2%
0.00701554 1
 
0.2%
0.0074 1
 
0.2%
0.0075 1
 
0.2%
0.0079 1
 
0.2%
ValueCountFrequency (%)
140.2876061 1
0.2%
31.38342239 1
0.2%
28.6997 1
0.2%
20.55553717 1
0.2%
18.89991499 1
0.2%
18.645 1
0.2%
13.565 1
0.2%
12.8145 1
0.2%
11.9409 1
0.2%
11.644 1
0.2%

과수원
Real number (ℝ)

ZEROS 

Distinct398
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8667384
Minimum0
Maximum218.18433
Zeros98
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:12.946838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0171
median0.48739584
Q32.82
95-th percentile19.1709
Maximum218.18433
Range218.18433
Interquartile range (IQR)2.8029

Descriptive statistics

Standard deviation17.515916
Coefficient of variation (CV)3.5991078
Kurtosis87.201467
Mean4.8667384
Median Absolute Deviation (MAD)0.48739584
Skewness8.5899955
Sum2438.2359
Variance306.80731
MonotonicityNot monotonic
2023-12-12T21:00:13.093582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 98
 
19.6%
0.0024 3
 
0.6%
0.0538 2
 
0.4%
0.0225 2
 
0.4%
0.0057 2
 
0.4%
0.0101 2
 
0.4%
2.52185602 1
 
0.2%
0.59220066 1
 
0.2%
0.04163082 1
 
0.2%
0.18949612 1
 
0.2%
Other values (388) 388
77.4%
ValueCountFrequency (%)
0.0 98
19.6%
0.0012 1
 
0.2%
0.0024 3
 
0.6%
0.0035 1
 
0.2%
0.00351045 1
 
0.2%
0.00406929 1
 
0.2%
0.00415155 1
 
0.2%
0.00535879 1
 
0.2%
0.00552658 1
 
0.2%
0.00556284 1
 
0.2%
ValueCountFrequency (%)
218.1843267 1
0.2%
191.9021 1
0.2%
166.6655092 1
0.2%
114.4371 1
0.2%
86.9586632 1
0.2%
59.1646 1
0.2%
54.7289 1
0.2%
43.0718 1
0.2%
42.2081 1
0.2%
40.0671 1
0.2%

기타재배지
Real number (ℝ)

ZEROS 

Distinct419
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6465586
Minimum0
Maximum115.69647
Zeros78
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:13.240033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0344
median0.5059777
Q32.1145
95-th percentile5.3179193
Maximum115.69647
Range115.69647
Interquartile range (IQR)2.0801

Descriptive statistics

Standard deviation5.4802058
Coefficient of variation (CV)3.3282786
Kurtosis376.82132
Mean1.6465586
Median Absolute Deviation (MAD)0.5059777
Skewness18.188349
Sum824.92586
Variance30.032656
MonotonicityNot monotonic
2023-12-12T21:00:13.375998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 78
 
15.6%
0.3771 2
 
0.4%
0.0164 2
 
0.4%
0.0022 2
 
0.4%
0.0021 2
 
0.4%
0.0854 2
 
0.4%
2.30808737 1
 
0.2%
1.57522316 1
 
0.2%
2.05466202 1
 
0.2%
0.80340817 1
 
0.2%
Other values (409) 409
81.6%
ValueCountFrequency (%)
0.0 78
15.6%
0.0017 1
 
0.2%
0.0021 2
 
0.4%
0.0022 2
 
0.4%
0.0042 1
 
0.2%
0.00517179 1
 
0.2%
0.0054 1
 
0.2%
0.00555366 1
 
0.2%
0.0061 1
 
0.2%
0.0068029 1
 
0.2%
ValueCountFrequency (%)
115.696473 1
0.2%
13.64847356 1
0.2%
10.7834 1
0.2%
10.29475625 1
0.2%
10.1553 1
0.2%
9.8829 1
0.2%
8.7802 1
0.2%
8.572 1
0.2%
8.40646336 1
0.2%
8.20304655 1
0.2%

활엽수림
Real number (ℝ)

ZEROS 

Distinct489
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.32104
Minimum0
Maximum5303.369
Zeros13
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:13.530620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2899
Q14.5437
median19.928
Q396.312458
95-th percentile323.98599
Maximum5303.369
Range5303.369
Interquartile range (IQR)91.768758

Descriptive statistics

Standard deviation260.98524
Coefficient of variation (CV)3.1703345
Kurtosis321.75193
Mean82.32104
Median Absolute Deviation (MAD)18.932264
Skewness16.317926
Sum41242.841
Variance68113.295
MonotonicityNot monotonic
2023-12-12T21:00:13.680121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
2.6%
123.0935 1
 
0.2%
944.8193131 1
 
0.2%
14.53953803 1
 
0.2%
0.77577381 1
 
0.2%
7.45380017 1
 
0.2%
53.26988365 1
 
0.2%
439.7017094 1
 
0.2%
413.894401 1
 
0.2%
526.5762057 1
 
0.2%
Other values (479) 479
95.6%
ValueCountFrequency (%)
0.0 13
2.6%
0.0214 1
 
0.2%
0.0598 1
 
0.2%
0.0613 1
 
0.2%
0.0878 1
 
0.2%
0.0951 1
 
0.2%
0.1289 1
 
0.2%
0.20381995 1
 
0.2%
0.205 1
 
0.2%
0.2126 1
 
0.2%
ValueCountFrequency (%)
5303.369036 1
0.2%
944.8193131 1
0.2%
807.8219959 1
0.2%
687.1190366 1
0.2%
553.786026 1
0.2%
526.5762057 1
0.2%
511.4977511 1
0.2%
503.7413953 1
0.2%
490.475828 1
0.2%
439.7017094 1
0.2%

침엽수림
Real number (ℝ)

ZEROS 

Distinct487
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.883498
Minimum0
Maximum2370.5498
Zeros14
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:13.810517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.092
Q12.5093
median25.1985
Q3128.6946
95-th percentile285.2445
Maximum2370.5498
Range2370.5498
Interquartile range (IQR)126.1853

Descriptive statistics

Standard deviation145.46403
Coefficient of variation (CV)1.7764756
Kurtosis122.66275
Mean81.883498
Median Absolute Deviation (MAD)25.0715
Skewness8.418457
Sum41023.632
Variance21159.785
MonotonicityNot monotonic
2023-12-12T21:00:13.944858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
2.8%
0.769 2
 
0.4%
486.7675 1
 
0.2%
379.6092122 1
 
0.2%
2.97714516 1
 
0.2%
0.32890872 1
 
0.2%
3.49252738 1
 
0.2%
9.61059499 1
 
0.2%
200.2593589 1
 
0.2%
317.0604626 1
 
0.2%
Other values (477) 477
95.2%
ValueCountFrequency (%)
0.0 14
2.8%
0.0001 1
 
0.2%
0.00787541 1
 
0.2%
0.01750897 1
 
0.2%
0.0375 1
 
0.2%
0.0411 1
 
0.2%
0.052 1
 
0.2%
0.0562 1
 
0.2%
0.0629 1
 
0.2%
0.06526552 1
 
0.2%
ValueCountFrequency (%)
2370.549805 1
0.2%
575.4683 1
0.2%
568.921 1
0.2%
561.0865399 1
0.2%
486.7675 1
0.2%
454.0349 1
0.2%
440.3848674 1
0.2%
428.224 1
0.2%
405.0770002 1
0.2%
394.2664 1
0.2%

혼효림
Real number (ℝ)

ZEROS 

Distinct495
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.609428
Minimum0
Maximum983.44635
Zeros7
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:14.064088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.21700581
Q12.3326
median14.3907
Q356.324423
95-th percentile173.2296
Maximum983.44635
Range983.44635
Interquartile range (IQR)53.991823

Descriptive statistics

Standard deviation73.508293
Coefficient of variation (CV)1.725165
Kurtosis56.053573
Mean42.609428
Median Absolute Deviation (MAD)13.8325
Skewness5.5468896
Sum21347.323
Variance5403.4692
MonotonicityNot monotonic
2023-12-12T21:00:14.210655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
1.4%
158.4198 1
 
0.2%
74.95541141 1
 
0.2%
50.30749064 1
 
0.2%
54.18350075 1
 
0.2%
116.7709647 1
 
0.2%
172.4698697 1
 
0.2%
118.8785499 1
 
0.2%
10.96075668 1
 
0.2%
85.74067362 1
 
0.2%
Other values (485) 485
96.8%
ValueCountFrequency (%)
0.0 7
1.4%
0.02432967 1
 
0.2%
0.0412 1
 
0.2%
0.05017127 1
 
0.2%
0.06638676 1
 
0.2%
0.07934915 1
 
0.2%
0.0988279 1
 
0.2%
0.10899369 1
 
0.2%
0.11505788 1
 
0.2%
0.1266 1
 
0.2%
ValueCountFrequency (%)
983.4463452 1
0.2%
414.7386 1
0.2%
357.3582 1
0.2%
328.6305 1
0.2%
307.0006 1
0.2%
287.3801 1
0.2%
269.1523 1
0.2%
260.4315 1
0.2%
256.9203 1
0.2%
245.8538 1
0.2%

자연초지
Real number (ℝ)

ZEROS 

Distinct449
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0533641
Minimum0
Maximum168.63842
Zeros48
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:14.370695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0956
median0.8778
Q34.8005
95-th percentile22.101953
Maximum168.63842
Range168.63842
Interquartile range (IQR)4.7049

Descriptive statistics

Standard deviation12.188669
Coefficient of variation (CV)2.411991
Kurtosis73.747885
Mean5.0533641
Median Absolute Deviation (MAD)0.8704
Skewness6.9612806
Sum2531.7354
Variance148.56364
MonotonicityNot monotonic
2023-12-12T21:00:14.531297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 48
 
9.6%
0.2421 2
 
0.4%
4.9485 2
 
0.4%
0.0055 2
 
0.4%
0.0792 2
 
0.4%
0.1275 2
 
0.4%
6.44111395 1
 
0.2%
9.0723525 1
 
0.2%
0.27698237 1
 
0.2%
0.28578048 1
 
0.2%
Other values (439) 439
87.6%
ValueCountFrequency (%)
0.0 48
9.6%
2.056e-05 1
 
0.2%
0.0001 1
 
0.2%
0.0012 1
 
0.2%
0.00151386 1
 
0.2%
0.0017 1
 
0.2%
0.0026 1
 
0.2%
0.0053 1
 
0.2%
0.0055 2
 
0.4%
0.0074 1
 
0.2%
ValueCountFrequency (%)
168.6384189 1
0.2%
84.5609 1
0.2%
83.8653 1
0.2%
72.57547125 1
0.2%
58.75274376 1
0.2%
46.24080899 1
0.2%
40.62998871 1
0.2%
39.13839189 1
0.2%
37.63244274 1
0.2%
35.32474326 1
0.2%

인공초지
Real number (ℝ)

SKEWED  ZEROS 

Distinct341
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8352079
Minimum0
Maximum1403.1752
Zeros159
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:14.722950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.458
Q33.4691134
95-th percentile13.770384
Maximum1403.1752
Range1403.1752
Interquartile range (IQR)3.4691134

Descriptive statistics

Standard deviation62.89084
Coefficient of variation (CV)10.777823
Kurtosis490.27674
Mean5.8352079
Median Absolute Deviation (MAD)0.458
Skewness22.030443
Sum2923.4392
Variance3955.2577
MonotonicityNot monotonic
2023-12-12T21:00:14.909030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 159
31.7%
0.0158 2
 
0.4%
0.003 2
 
0.4%
1.7342 1
 
0.2%
2.27610782 1
 
0.2%
12.81516643 1
 
0.2%
4.96855625 1
 
0.2%
4.54217697 1
 
0.2%
4.10416775 1
 
0.2%
3.40215181 1
 
0.2%
Other values (331) 331
66.1%
ValueCountFrequency (%)
0.0 159
31.7%
0.0001 1
 
0.2%
0.001 1
 
0.2%
0.0017 1
 
0.2%
0.0021 1
 
0.2%
0.003 2
 
0.4%
0.0051 1
 
0.2%
0.0058 1
 
0.2%
0.0063 1
 
0.2%
0.0066 1
 
0.2%
ValueCountFrequency (%)
1403.17517 1
0.2%
88.08698157 1
0.2%
59.1305045 1
0.2%
26.15345949 1
0.2%
25.91023507 1
0.2%
23.76246273 1
0.2%
23.09282342 1
0.2%
19.19854564 1
0.2%
19.12502572 1
0.2%
18.54512078 1
0.2%

구기타초지
Real number (ℝ)

ZEROS 

Distinct327
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2225384
Minimum0
Maximum332.99775
Zeros175
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:15.095185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.9152
Q34.9365
95-th percentile13.927
Maximum332.99775
Range332.99775
Interquartile range (IQR)4.9365

Descriptive statistics

Standard deviation16.407708
Coefficient of variation (CV)3.885745
Kurtosis326.79555
Mean4.2225384
Median Absolute Deviation (MAD)0.9152
Skewness16.787974
Sum2115.4918
Variance269.21287
MonotonicityNot monotonic
2023-12-12T21:00:15.250278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 175
34.9%
15.9207 1
 
0.2%
5.8803 1
 
0.2%
5.182 1
 
0.2%
7.0363 1
 
0.2%
8.5632 1
 
0.2%
2.4145 1
 
0.2%
4.9566 1
 
0.2%
9.2027 1
 
0.2%
5.1864 1
 
0.2%
Other values (317) 317
63.3%
ValueCountFrequency (%)
0.0 175
34.9%
0.0098 1
 
0.2%
0.0319 1
 
0.2%
0.0505 1
 
0.2%
0.0569 1
 
0.2%
0.0823 1
 
0.2%
0.0966 1
 
0.2%
0.1027 1
 
0.2%
0.1218 1
 
0.2%
0.1573 1
 
0.2%
ValueCountFrequency (%)
332.9977506 1
0.2%
105.5938 1
0.2%
69.3637 1
0.2%
24.5025 1
0.2%
22.9728 1
0.2%
22.3117 1
0.2%
22.0379 1
0.2%
21.9034 1
0.2%
21.0343 1
0.2%
20.7787 1
0.2%

내륙습지
Real number (ℝ)

SKEWED  ZEROS 

Distinct437
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5852733
Minimum0
Maximum811.48135
Zeros54
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:15.430109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0784
median1.3701
Q34.9492
95-th percentile10.079373
Maximum811.48135
Range811.48135
Interquartile range (IQR)4.8708

Descriptive statistics

Standard deviation36.303769
Coefficient of variation (CV)7.917471
Kurtosis490.95754
Mean4.5852733
Median Absolute Deviation (MAD)1.3701
Skewness22.047956
Sum2297.2219
Variance1317.9636
MonotonicityNot monotonic
2023-12-12T21:00:15.597073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
10.8%
0.0035 2
 
0.4%
0.0019 2
 
0.4%
0.0473 2
 
0.4%
0.3101 2
 
0.4%
0.0144 2
 
0.4%
0.0553 2
 
0.4%
0.0521 2
 
0.4%
0.1021 2
 
0.4%
0.0018 2
 
0.4%
Other values (427) 429
85.6%
ValueCountFrequency (%)
0.0 54
10.8%
1.1e-06 1
 
0.2%
0.0002 1
 
0.2%
0.0018 2
 
0.4%
0.0019 2
 
0.4%
0.0029 1
 
0.2%
0.003 1
 
0.2%
0.0035 2
 
0.4%
0.00351696 1
 
0.2%
0.00557554 1
 
0.2%
ValueCountFrequency (%)
811.4813485 1
0.2%
22.35968058 1
0.2%
18.8857 1
0.2%
18.29599315 1
0.2%
17.25675156 1
0.2%
16.64331874 1
0.2%
15.74547698 1
0.2%
13.9338229 1
0.2%
12.5591442 1
0.2%
12.45949702 1
0.2%

연안습지
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3340633
Minimum0
Maximum80.2043
Zeros361
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:15.770584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01045492
95-th percentile6.6140168
Maximum80.2043
Range80.2043
Interquartile range (IQR)0.01045492

Descriptive statistics

Standard deviation6.4482461
Coefficient of variation (CV)4.8335384
Kurtosis97.361445
Mean1.3340633
Median Absolute Deviation (MAD)0
Skewness9.0270247
Sum668.36571
Variance41.579878
MonotonicityNot monotonic
2023-12-12T21:00:15.996749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 361
72.1%
0.0075 2
 
0.4%
0.0221 2
 
0.4%
0.0014 2
 
0.4%
0.097 2
 
0.4%
0.1188 2
 
0.4%
0.19112017 1
 
0.2%
0.63367629 1
 
0.2%
0.39134278 1
 
0.2%
0.99334605 1
 
0.2%
Other values (126) 126
 
25.1%
ValueCountFrequency (%)
0.0 361
72.1%
0.0013 1
 
0.2%
0.0014 2
 
0.4%
0.0022 1
 
0.2%
0.00264808 1
 
0.2%
0.00375583 1
 
0.2%
0.0042 1
 
0.2%
0.0047 1
 
0.2%
0.006 1
 
0.2%
0.0075 2
 
0.4%
ValueCountFrequency (%)
80.2043 1
0.2%
80.15759449 1
0.2%
48.9927 1
0.2%
39.72972999 1
0.2%
26.1187 1
0.2%
21.89262632 1
0.2%
19.8818 1
0.2%
18.4608 1
0.2%
18.2121 1
0.2%
18.0239 1
0.2%

자연나지
Real number (ℝ)

SKEWED  ZEROS 

Distinct310
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0813436
Minimum0
Maximum645.76107
Zeros183
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:16.617235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0797
Q30.5547
95-th percentile4.0005954
Maximum645.76107
Range645.76107
Interquartile range (IQR)0.5547

Descriptive statistics

Standard deviation28.898464
Coefficient of variation (CV)13.884524
Kurtosis495.20349
Mean2.0813436
Median Absolute Deviation (MAD)0.0797
Skewness22.191109
Sum1042.7531
Variance835.12123
MonotonicityNot monotonic
2023-12-12T21:00:16.788095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 183
36.5%
0.0075 2
 
0.4%
0.0215 2
 
0.4%
0.0096 2
 
0.4%
0.0029 2
 
0.4%
0.0038 2
 
0.4%
0.0079 2
 
0.4%
0.0089 2
 
0.4%
0.0135 2
 
0.4%
0.0604 2
 
0.4%
Other values (300) 300
59.9%
ValueCountFrequency (%)
0.0 183
36.5%
0.00018205 1
 
0.2%
0.00259521 1
 
0.2%
0.0026 1
 
0.2%
0.0027 1
 
0.2%
0.0029 2
 
0.4%
0.0036 1
 
0.2%
0.0038 2
 
0.4%
0.00405139 1
 
0.2%
0.0049 1
 
0.2%
ValueCountFrequency (%)
645.7610699 1
0.2%
21.79068736 1
0.2%
16.11509237 1
0.2%
13.6217516 1
0.2%
13.22983193 1
0.2%
12.04408516 1
0.2%
11.91062763 1
0.2%
11.65622258 1
0.2%
10.46211254 1
0.2%
10.01729411 1
0.2%

인공나지
Real number (ℝ)

SKEWED  UNIQUE 

Distinct501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8868104
Minimum0.1058
Maximum505.45616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:16.981968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1058
5-th percentile0.40451103
Q11.1732443
median3.9554757
Q38.5188897
95-th percentile17.9155
Maximum505.45616
Range505.35036
Interquartile range (IQR)7.3456454

Descriptive statistics

Standard deviation23.075652
Coefficient of variation (CV)3.3507023
Kurtosis438.09239
Mean6.8868104
Median Absolute Deviation (MAD)3.0585757
Skewness20.269962
Sum3450.292
Variance532.4857
MonotonicityNot monotonic
2023-12-12T21:00:17.150886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.607 1
 
0.2%
3.50778902 1
 
0.2%
9.50073281 1
 
0.2%
6.49201714 1
 
0.2%
4.3861708 1
 
0.2%
9.37820957 1
 
0.2%
8.533605 1
 
0.2%
3.77410495 1
 
0.2%
13.62932357 1
 
0.2%
5.81872768 1
 
0.2%
Other values (491) 491
98.0%
ValueCountFrequency (%)
0.1058 1
0.2%
0.1563 1
0.2%
0.1797 1
0.2%
0.18793376 1
0.2%
0.202 1
0.2%
0.2143 1
0.2%
0.23406579 1
0.2%
0.2392 1
0.2%
0.2415 1
0.2%
0.24327747 1
0.2%
ValueCountFrequency (%)
505.4561597 1
0.2%
31.42832349 1
0.2%
31.1478 1
0.2%
27.61671025 1
0.2%
27.3691 1
0.2%
27.1696 1
0.2%
25.96064428 1
0.2%
25.60840943 1
0.2%
24.2533 1
0.2%
23.7294 1
0.2%

내륙수
Real number (ℝ)

SKEWED 

Distinct494
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.478103
Minimum0
Maximum3630.8617
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:17.348179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07736871
Q10.7373
median4.239
Q312.26528
95-th percentile27.4326
Maximum3630.8617
Range3630.8617
Interquartile range (IQR)11.52798

Descriptive statistics

Standard deviation162.17542
Coefficient of variation (CV)10.477732
Kurtosis496.92332
Mean15.478103
Median Absolute Deviation (MAD)3.9744
Skewness22.247151
Sum7754.5296
Variance26300.865
MonotonicityNot monotonic
2023-12-12T21:00:17.530558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1466 3
 
0.6%
2.8748 2
 
0.4%
0.162 2
 
0.4%
2.1255 2
 
0.4%
0.3024 2
 
0.4%
0.0308 2
 
0.4%
7.1224 1
 
0.2%
32.17384639 1
 
0.2%
0.71894307 1
 
0.2%
9.12828795 1
 
0.2%
Other values (484) 484
96.6%
ValueCountFrequency (%)
0.0 1
0.2%
0.005 1
0.2%
0.0113 1
0.2%
0.0118 1
0.2%
0.017 1
0.2%
0.0242 1
0.2%
0.02673255 1
0.2%
0.0308 2
0.4%
0.0323 1
0.2%
0.0341 1
0.2%
ValueCountFrequency (%)
3630.861658 1
0.2%
77.93995764 1
0.2%
69.87918146 1
0.2%
56.2383 1
0.2%
50.92344425 1
0.2%
45.9899 1
0.2%
44.91709227 1
0.2%
44.55431288 1
0.2%
38.98304458 1
0.2%
37.8804 1
0.2%

해양수
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3354326
Minimum0
Maximum134.2533
Zeros363
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:17.681814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0139
95-th percentile6.5800301
Maximum134.2533
Range134.2533
Interquartile range (IQR)0.0139

Descriptive statistics

Standard deviation7.2249456
Coefficient of variation (CV)5.4101913
Kurtosis236.52972
Mean1.3354326
Median Absolute Deviation (MAD)0
Skewness13.794477
Sum669.05171
Variance52.199839
MonotonicityNot monotonic
2023-12-12T21:00:17.856604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 363
72.5%
0.0095 2
 
0.4%
0.0133 2
 
0.4%
0.0371 2
 
0.4%
0.00434464 1
 
0.2%
0.38785483 1
 
0.2%
0.15482615 1
 
0.2%
0.30301882 1
 
0.2%
1.83555297 1
 
0.2%
0.05013605 1
 
0.2%
Other values (126) 126
 
25.1%
ValueCountFrequency (%)
0.0 363
72.5%
0.00035372 1
 
0.2%
0.0014 1
 
0.2%
0.0016 1
 
0.2%
0.00341771 1
 
0.2%
0.00434464 1
 
0.2%
0.0081 1
 
0.2%
0.0094 1
 
0.2%
0.0095 2
 
0.4%
0.0108 1
 
0.2%
ValueCountFrequency (%)
134.2533 1
0.2%
55.3428 1
0.2%
29.7429 1
0.2%
28.1693 1
0.2%
20.7767 1
0.2%
20.6305 1
0.2%
18.4756 1
0.2%
17.4405 1
0.2%
15.8001 1
0.2%
15.475 1
0.2%

미구축
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0.0
497 
128.284
 
2
3.8036
 
2

Length

Max length7
Median length3
Mean length3.0279441
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 497
99.2%
128.284 2
 
0.4%
3.8036 2
 
0.4%

Length

2023-12-12T21:00:18.040214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:18.161178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 497
99.2%
128.284 2
 
0.4%
3.8036 2
 
0.4%

합계
Real number (ℝ)

Distinct423
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.33091
Minimum3.0075
Maximum22202.729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:00:18.293965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0075
5-th percentile16.5588
Q138.547638
median162.5594
Q3569.79246
95-th percentile940.4958
Maximum22202.729
Range22199.722
Interquartile range (IQR)531.24483

Descriptive statistics

Standard deviation1034.9851
Coefficient of variation (CV)2.7429109
Kurtosis397.29031
Mean377.33091
Median Absolute Deviation (MAD)147.7911
Skewness18.851923
Sum189042.79
Variance1071194.1
MonotonicityNot monotonic
2023-12-12T21:00:18.462836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.4338 2
 
0.4%
96.0397 2
 
0.4%
19.8384 2
 
0.4%
17.6999 2
 
0.4%
29.8535 2
 
0.4%
42.8126 2
 
0.4%
23.718 2
 
0.4%
25.4885 2
 
0.4%
61.7757 2
 
0.4%
175.7239 2
 
0.4%
Other values (413) 481
96.0%
ValueCountFrequency (%)
3.0075 1
0.2%
7.0405 2
0.4%
7.0709 1
0.2%
7.14656016 1
0.2%
9.5303 1
0.2%
9.98988229 1
0.2%
10.0468 2
0.4%
10.4846 1
0.2%
12.1381 1
0.2%
12.5658 2
0.4%
ValueCountFrequency (%)
22202.72928 1
0.2%
1817.899377 1
0.2%
1641.469524 1
0.2%
1528.6315 1
0.2%
1464.28388 1
0.2%
1325.2116 1
0.2%
1251.7667 1
0.2%
1219.8941 1
0.2%
1202.8151 1
0.2%
1172.210131 1
0.2%

Sample

자료년도시도시군구주거지역공업지역상업지역문화체육휴양시설교통지역공공시설지역논밭시설재배지과수원기타재배지활엽수림침엽수림혼효림자연초지인공초지구기타초지내륙습지연안습지자연나지인공나지내륙수해양수미구축합계
02007강원도횡성군6.80781.10751.70920.28786.65381.131475.341892.890.14790.18482.1815123.0935486.7675158.41981.17381.734215.92073.2610.00.08358.6077.12240.00.0994.6269
12007경기도가평군11.07280.28693.02480.37183.4573.095329.785942.98440.14912.36041.1582352.0193285.244557.3224.99242.35747.091.34570.02210.33889.114323.43420.00.0841.0273
22007경기도고양시덕양구16.96711.04643.25570.27167.20496.664314.916924.16240.27460.42220.900119.9288.250439.13560.30691.25374.81261.8480.00.00493.43927.49390.00.0162.5594
32007경기도고양시일산동구10.58340.59884.59790.32964.20713.62099.17087.34160.03030.1620.18740.68742.90428.33690.08510.03171.27561.11010.00.02.21832.86450.00.060.3436
42007경기도고양시일산서구8.89720.26991.98010.15273.24631.745615.97960.73090.0160.00.07450.21540.29850.55070.05170.00.52661.09660.00.00.75246.51220.00.043.0969
52007경기도과천시2.39760.46380.23621.45641.66272.00171.54532.35280.75840.28930.051113.53883.13664.0920.05210.00.45030.00.00.00.49910.41210.00.035.3963
62007경기도광명시6.94691.47020.61230.09932.90491.21714.16724.30860.02060.06250.051210.7811.00531.40480.09560.00.97620.31010.00.01.90640.70770.00.039.0479
72007경기도광주시17.711814.23833.38940.46953.85582.573329.909226.81191.70010.59994.959169.218587.442725.83023.05882.980612.91434.36710.00.91074.225111.53890.00.0428.7051
82007경기도구리시6.00890.62070.58440.19661.66980.65590.13964.52330.87480.92940.02222.29183.56954.42980.11520.01042.03630.38690.00.01.04162.15830.00.032.2654
92007경기도군포시4.78912.01450.76570.0572.91041.12292.61912.3530.01530.10250.04548.96134.34892.10430.19890.35281.27540.00.00.01.33280.58650.00.035.9558
자료년도시도시군구주거지역공업지역상업지역문화체육휴양시설교통지역공공시설지역논밭시설재배지과수원기타재배지활엽수림침엽수림혼효림자연초지인공초지구기타초지내륙습지연안습지자연나지인공나지내륙수해양수미구축합계
4912013충청북도음성군10.4900919.6858533.130760.20281610.2669241.31166172.40769390.9491847.97630217.7487023.293975135.94159172.39157830.72740915.93372712.3503940.04.1407830.00.31049611.7217028.4905410.00.0519.472186
4922013충청북도제천시11.9588092.0871982.8531660.5412529.953081.70239127.6413498.0782430.7179255.8675160.981955322.731085225.19636588.5414588.36723514.5845020.04.1466480.03.3734538.60893744.9170920.00.0882.849648
4932013충청북도증평군2.4609310.7754330.7078020.0392261.9817760.28674915.74705412.3058520.1448950.4417610.50129120.97274512.6996693.5448922.6499993.2186380.01.2289660.00.01.1436831.0489840.00.081.900347
4942013충청북도진천군6.6458334.2104541.457910.181857.4844970.81983966.95847838.4879095.8254141.4595832.460418134.73743464.21018424.64961811.70621813.2117850.06.8343590.00.4894717.9705568.3474770.00.0408.149289
4952013충청북도청주시 상당구8.8494510.5965962.6743840.2903055.5697761.20129136.58613639.3974281.0603712.6397361.765049133.827158101.098123.4024611.929697.6071630.06.9644240.0298410.6268973.79560913.47280.00.0403.384666
4962013충청북도청주시 서원구6.8670391.1542174.0409880.1710644.899431.26492316.99049216.0687830.3305980.4722030.48320738.35432213.1997733.026853.0548296.2661830.01.7267450.0107910.0098493.2198891.4668560.00.0123.07903
4972013충청북도청주시 청원구7.7745213.2127493.1969840.1946287.4340011.00847256.96707135.4981650.6255221.5292561.67304735.14586923.3854777.0033717.0834957.5303140.05.5683930.00.2775457.1548082.5508970.00.0214.814584
4982013충청북도청주시 흥덕구8.8946955.42364.0267430.2098168.6166761.4151345.86402927.4436384.4749461.5729681.88758334.50400817.5707187.9195675.1973546.6849820.04.1619230.01.2739587.4308244.2069390.00.0198.780097
4992013충청북도충주시21.1527625.5346214.2981560.65492114.339123.03716778.992469107.4497572.59788131.6045532.595593359.049214161.87630759.4132329.89937319.1985460.07.6961530.01.21393120.19926650.9234440.00.0981.726462
5002018수도권서울/경기/인천758.502797266.495728326.92268836.645361676.144464123.322841904.3167071400.315934140.287606218.184327115.6964735303.3690362370.549805983.446345168.6384191403.17517332.997751811.48134880.157594645.76107505.456163630.8616580.00.022202.72928