Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory67.3 B

Variable types

Numeric1
Categorical6
Text1

Alerts

조사분야구분코드명 has constant value ""Constant
조사시작일자 is highly overall correlated with 공간아이디 and 2 other fieldsHigh correlation
조사종료일자 is highly overall correlated with 공간아이디 and 2 other fieldsHigh correlation
조사년도 is highly overall correlated with 공간아이디 and 2 other fieldsHigh correlation
종학명 is highly overall correlated with 종국명High correlation
종국명 is highly overall correlated with 종학명High correlation
공간아이디 is highly overall correlated with 조사년도 and 2 other fieldsHigh correlation
조사년도 is highly imbalanced (53.1%)Imbalance
공간아이디 has unique valuesUnique
지오메트리 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:26:51.830200
Analysis finished2023-12-10 12:26:52.906209
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9 × 1015
Minimum9 × 1015
Maximum9 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:26:53.022356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9 × 1015
5-th percentile9 × 1015
Q19 × 1015
median9 × 1015
Q39 × 1015
95-th percentile9 × 1015
Maximum9 × 1015
Range180
Interquartile range (IQR)49

Descriptive statistics

Standard deviation46.633105
Coefficient of variation (CV)5.1814561 × 10-15
Kurtosis1.5731341
Mean9 × 1015
Median Absolute Deviation (MAD)25
Skewness-1.3792183
Sum9 × 1017
Variance2174.6465
MonotonicityStrictly increasing
2023-12-10T21:26:53.248040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9000000000009952 1
 
1.0%
9000000000010097 1
 
1.0%
9000000000010107 1
 
1.0%
9000000000010106 1
 
1.0%
9000000000010105 1
 
1.0%
9000000000010104 1
 
1.0%
9000000000010103 1
 
1.0%
9000000000010102 1
 
1.0%
9000000000010101 1
 
1.0%
9000000000010100 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
9000000000009952 1
1.0%
9000000000009953 1
1.0%
9000000000009954 1
1.0%
9000000000009955 1
1.0%
9000000000009956 1
1.0%
9000000000009957 1
1.0%
9000000000009958 1
1.0%
9000000000009959 1
1.0%
9000000000009960 1
1.0%
9000000000009961 1
1.0%
ValueCountFrequency (%)
9000000000010132 1
1.0%
9000000000010131 1
1.0%
9000000000010130 1
1.0%
9000000000010129 1
1.0%
9000000000010128 1
1.0%
9000000000010127 1
1.0%
9000000000010126 1
1.0%
9000000000010125 1
1.0%
9000000000010124 1
1.0%
9000000000010123 1
1.0%

조사분야구분코드명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
포유류
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포유류 100
100.0%

Length

2023-12-10T21:26:53.494928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:26:53.639168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포유류 100
100.0%

종국명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
삵
22 
수달
17 
담비
10 
멧돼지
5 
다람쥐
5 
Other values (15)
41 

Length

Max length20
Median length8
Mean length2.52
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row담비
2nd row담비
3rd row삵
4th row수달
5th row수달

Common Values

ValueCountFrequency (%)
삵 22
22.0%
수달 17
17.0%
담비 10
10.0%
멧돼지 5
 
5.0%
다람쥐 5
 
5.0%
노루 4
 
4.0%
두더지 4
 
4.0%
너구리 4
 
4.0%
족제비 4
 
4.0%
멧토끼 4
 
4.0%
Other values (10) 21
21.0%

Length

2023-12-10T21:26:53.789216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
삵 22
21.6%
수달 17
16.7%
담비 10
9.8%
멧돼지 5
 
4.9%
다람쥐 5
 
4.9%
노루 4
 
3.9%
두더지 4
 
3.9%
너구리 4
 
3.9%
족제비 4
 
3.9%
멧토끼 4
 
3.9%
Other values (11) 23
22.5%

종학명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Prionailurus bengalensis (Kerr, 1792)
22 
Lutra lutra (Linnaeus, 1758)
17 
Martes flavigula (Boddaert, 1785)
10 
Sus scrofa Linnaeus, 1758
5 
Tamias sibiricus (Laxmann, 1769)
5 
Other values (15)
41 

Length

Max length37
Median length33
Mean length31.18
Min length11

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st rowMartes flavigula (Boddaert, 1785)
2nd rowMartes flavigula (Boddaert, 1785)
3rd rowPrionailurus bengalensis (Kerr, 1792)
4th rowLutra lutra (Linnaeus, 1758)
5th rowLutra lutra (Linnaeus, 1758)

Common Values

ValueCountFrequency (%)
Prionailurus bengalensis (Kerr, 1792) 22
22.0%
Lutra lutra (Linnaeus, 1758) 17
17.0%
Martes flavigula (Boddaert, 1785) 10
10.0%
Sus scrofa Linnaeus, 1758 5
 
5.0%
Tamias sibiricus (Laxmann, 1769) 5
 
5.0%
Capreolus pygargus (Pallas, 1771) 4
 
4.0%
Mogera wogura (Temminck, 1848) 4
 
4.0%
Nyctereutes procyonoides (Gray, 1834) 4
 
4.0%
Mustela sibirica Pallas, 1773 4
 
4.0%
Lepus coreanus Thomas, 1892 4
 
4.0%
Other values (10) 21
21.0%

Length

2023-12-10T21:26:53.985710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
lutra 34
 
8.7%
linnaeus 29
 
7.4%
1758 28
 
7.1%
prionailurus 22
 
5.6%
kerr 22
 
5.6%
1792 22
 
5.6%
bengalensis 22
 
5.6%
pallas 11
 
2.8%
martes 10
 
2.5%
flavigula 10
 
2.5%
Other values (50) 183
46.6%

조사년도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2013
90 
2012
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2012
2nd row2012
3rd row2012
4th row2012
5th row2012

Common Values

ValueCountFrequency (%)
2013 90
90.0%
2012 10
 
10.0%

Length

2023-12-10T21:26:54.163675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:26:54.323874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013 90
90.0%
2012 10
 
10.0%

조사시작일자
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2013-05-24
33 
2013-05-28
24 
2013-07-22
19 
2013-06-29
14 
2012-06-15
10 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2012-06-15
2nd row2012-06-15
3rd row2012-06-15
4th row2012-06-15
5th row2012-06-15

Common Values

ValueCountFrequency (%)
2013-05-24 33
33.0%
2013-05-28 24
24.0%
2013-07-22 19
19.0%
2013-06-29 14
14.0%
2012-06-15 10
 
10.0%

Length

2023-12-10T21:26:54.484937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:26:54.662941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013-05-24 33
33.0%
2013-05-28 24
24.0%
2013-07-22 19
19.0%
2013-06-29 14
14.0%
2012-06-15 10
 
10.0%

조사종료일자
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2013-09-08
33 
2013-09-27
24 
2013-11-01
19 
2013-10-23
14 
2012-09-09
10 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2012-09-09
2nd row2012-09-09
3rd row2012-09-09
4th row2012-09-09
5th row2012-09-09

Common Values

ValueCountFrequency (%)
2013-09-08 33
33.0%
2013-09-27 24
24.0%
2013-11-01 19
19.0%
2013-10-23 14
14.0%
2012-09-09 10
 
10.0%

Length

2023-12-10T21:26:54.841388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:26:54.998222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013-09-08 33
33.0%
2013-09-27 24
24.0%
2013-11-01 19
19.0%
2013-10-23 14
14.0%
2012-09-09 10
 
10.0%

지오메트리
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:26:55.613885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length698
Mean length586.39
Min length204

Characters and Unicode

Total characters58639
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowMULTIPOLYGON (((387253.2229383958 469603.8590542456, 387347.39307257277 469607.10630025377, 387394.4781396626 469602.235431244, 387459.42305978516 469598.9881852402, 387521.120733902 469590.8700702243, 387555.21681696555 469582.75195520755, 387597.4310150448 469561.6448561671, 387613.667245077 469551.90311814955, 387616.9144910815 469540.53775712877, 387610.41999907105 469527.54877310304, 387586.06565402274 469504.81805106165, 387555.216816967 469488.58182103065, 387534.10971792566 469482.0873290186, 387478.9065358228 469469.09834499494, 387376.6182866297 469467.47472199186, 387272.70641443436 469465.8510989875, 387185.03077226825 469477.2164600111, 387142.8165741898 469490.2054440342, 387100.602376109 469512.93616607354, 387092.48426109314 469519.430658089, 387089.2370150896 469529.17239610705, 387094.10788409895 469545.4086261381, 387115.21498313686 469566.515725177, 387157.4291812168 469581.12833220494, 387253.2229383958 469603.8590542456)))
2nd rowMULTIPOLYGON (((384298.58347084816 468786.9507693552, 384387.79977775563 468786.60894442414, 384398.7381755392 468785.9252945628, 384421.6404458945 468781.13974553114, 384441.80811680097 468774.64507185004, 384458.89936333604 468769.17587295687, 384481.4598087603 468757.55382531625, 384507.09667856095 468737.72797933954, 384514.95865196653 468729.8660059343, 384518.718726203 468724.7386319712, 384523.1624503016 468715.50935884414, 384523.16245030274 468704.57096106256, 384522.4788004414 468691.5816136964, 384517.35142648197 468683.03599042975, 384501.9693045998 468668.337518411, 384486.58718272124 468660.81736993504, 384446.59366583294 468649.19532229425, 384424.71687026956 468644.40977326524, 384412.06934783485 468642.7006486106, 384392.927151716 468641.6751738197, 384373.1013057367 468640.99152395804, 384342.3370619771 468641.333348889, 384325.58764037554 468641.33334888896, 384307.1290941185 468641.33334888855, 384283.88499883306 468644.7515981949, 384264.05915285624 468650.22079708497, 384251.75345534994
3rd rowMULTIPOLYGON (((384334.8533321117 468953.897827767, 384394.4004298641 468957.95785715827, 384427.96333950636 468957.95785715675, 384458.2782256343 468956.60451402585, 384492.11180390185 468952.0031473827, 384515.93064300413 468946.31910623476, 384537.85480172304 468939.0110533291, 384557.0722741772 468927.9136396556, 384576.28974663466 468914.650876976, 384582.24445640825 468909.5081730798, 384585.2218112962 468905.17747505935, 384587.6578289317 468901.6587829209, 384590.90585244616 468892.45604963077, 384592.8005328297 468887.31334573356, 384593.88320733455 468875.1332575587, 384593.07120145345 468867.5545360249, 384587.3871603084 468856.7277909814, 384583.597799539 468851.31441845803, 384580.07910740026 468847.52505768975, 384576.28974663396 468843.7356969244, 384572.7710544968 468841.0290106622, 384565.1923329616 468835.8863067667, 384555.9895996725 468830.202265617, 384546.78686638636 468825.33023034653, 384537.3134644717 468820.45819507627, 384519.9906723956 468815.3154911786, 384508.89325872436 468812.8
4th rowMULTIPOLYGON (((384469.72124587017 469119.2505412789, 384546.0803866203 469122.8694579028, 384590.9549527533 469117.8029746294, 384616.28736911586 469112.3745996934, 384642.34356880444 469104.41298312286, 384665.14274353057 469095.7275832283, 384681.06597667077 469086.6802916693, 384689.75137657067 469078.7186750977, 384696.627318154 469069.67138353945, 384700.24623477744 469062.79544195154, 384703.1413680763 469050.8530170978, 384703.14136807434 469042.529508865, 384700.2462347781 469027.3300590464, 384696.26542649127 469019.3684424737, 384687.2181349341 469009.23547592823, 384653.56221033796 468990.7790011498, 384609.77331919514 468981.0079262665, 384587.3360361301 468981.0079262669, 384553.6801115335 468981.00792626664, 384516.40527031175 468981.3698179303, 384470.44502919505 468984.9887345532, 384441.13180454646 468991.14089281147, 384409.6472299241 469001.6357510199, 384391.55264680565 469009.59736759204, 384370.56293038966 469021.17790078686, 384364.4107721326 469027.691950708, 384357.17293888587 469039
5th rowMULTIPOLYGON (((384476.24427777727 469289.9777827307, 384543.0966341861 469294.6203074824, 384578.379822289 469294.310805833, 384612.42500379327 469291.21578933246, 384649.5652017983 469284.4067530306, 384672.4683238969 469277.5977167317, 384698.4664625027 469263.9796441281, 384713.6320433551 469253.45658802876, 384722.9170928552 469244.7905418278, 384729.72612915654 469235.1959906767, 384732.82114565605 469228.38695437484, 384734.67815555626 469215.69738672127, 384734.05915225553 469204.2458256732, 384732.5116440068 469198.05579267204, 384716.41755820764 469178.8666903702, 384705.2754988031 469170.81964747026, 384693.82393775176 469164.3201128192, 384659.1597529492 469150.70204021694, 384622.9480598947 469146.9880204148, 384605.6159674927 469146.6785187643, 384581.7843404383 469146.05951546377, 384534.7400896357 469146.67851876514, 384501.62341308105 469151.3210435144, 384478.4107893275 469155.65406661615, 384461.6977002277 469159.9870897153, 384440.96108967485 469167.4151293173, 384423.0099939724 469176.700
ValueCountFrequency (%)
multipolygon 100
 
3.2%
377224.69666270656 6
 
0.2%
377053.1333516451 6
 
0.2%
377002.5441701782 6
 
0.2%
377187.30465901364 6
 
0.2%
376802.3869739398 6
 
0.2%
384810.30900740484 6
 
0.2%
377046.53476275806 6
 
0.2%
377399.2843270079 6
 
0.2%
377423.4791529268 6
 
0.2%
Other values (2667) 2974
95.1%
2023-12-10T21:26:56.242140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5946
10.1%
4 5675
9.7%
7 5143
8.8%
8 5066
8.6%
6 5040
8.6%
5 5010
8.5%
2 4914
8.4%
9 4395
7.5%
1 4274
7.3%
0 3931
6.7%
Other values (15) 9245
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49394
84.2%
Other Punctuation 4441
 
7.6%
Space Separator 3030
 
5.2%
Uppercase Letter 1200
 
2.0%
Open Punctuation 302
 
0.5%
Close Punctuation 272
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5946
12.0%
4 5675
11.5%
7 5143
10.4%
8 5066
10.3%
6 5040
10.2%
5 5010
10.1%
2 4914
9.9%
9 4395
8.9%
1 4274
8.7%
0 3931
8.0%
Uppercase Letter
ValueCountFrequency (%)
O 200
16.7%
L 200
16.7%
U 100
8.3%
N 100
8.3%
G 100
8.3%
Y 100
8.3%
P 100
8.3%
I 100
8.3%
T 100
8.3%
M 100
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3025
68.1%
, 1416
31.9%
Space Separator
ValueCountFrequency (%)
3030
100.0%
Open Punctuation
ValueCountFrequency (%)
( 302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57439
98.0%
Latin 1200
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5946
10.4%
4 5675
9.9%
7 5143
9.0%
8 5066
8.8%
6 5040
8.8%
5 5010
8.7%
2 4914
8.6%
9 4395
7.7%
1 4274
7.4%
0 3931
6.8%
Other values (5) 8045
14.0%
Latin
ValueCountFrequency (%)
O 200
16.7%
L 200
16.7%
U 100
8.3%
N 100
8.3%
G 100
8.3%
Y 100
8.3%
P 100
8.3%
I 100
8.3%
T 100
8.3%
M 100
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58639
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5946
10.1%
4 5675
9.7%
7 5143
8.8%
8 5066
8.6%
6 5040
8.6%
5 5010
8.5%
2 4914
8.4%
9 4395
7.5%
1 4274
7.3%
0 3931
6.7%
Other values (15) 9245
15.8%

Interactions

2023-12-10T21:26:52.400851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:26:56.429772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디종국명종학명조사년도조사시작일자조사종료일자지오메트리
공간아이디1.0000.1880.1881.0000.9310.9311.000
종국명0.1881.0001.0000.0870.0000.0001.000
종학명0.1881.0001.0000.0870.0000.0001.000
조사년도1.0000.0870.0871.0001.0001.0001.000
조사시작일자0.9310.0000.0001.0001.0001.0001.000
조사종료일자0.9310.0000.0001.0001.0001.0001.000
지오메트리1.0001.0001.0001.0001.0001.0001.000
2023-12-10T21:26:56.557183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사시작일자조사종료일자조사년도종학명종국명
조사시작일자1.0001.0000.9850.0000.000
조사종료일자1.0001.0000.9850.0000.000
조사년도0.9850.9851.0000.0440.044
종학명0.0000.0000.0441.0001.000
종국명0.0000.0000.0441.0001.000
2023-12-10T21:26:56.712684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디종국명종학명조사년도조사시작일자조사종료일자
공간아이디1.0000.0670.0670.9790.8940.894
종국명0.0671.0001.0000.0440.0000.000
종학명0.0671.0001.0000.0440.0000.000
조사년도0.9790.0440.0441.0000.9850.985
조사시작일자0.8940.0000.0000.9851.0001.000
조사종료일자0.8940.0000.0000.9851.0001.000

Missing values

2023-12-10T21:26:52.599232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:26:52.808752image/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

공간아이디조사분야구분코드명종국명종학명조사년도조사시작일자조사종료일자지오메트리
09000000000009952포유류담비Martes flavigula (Boddaert, 1785)20122012-06-152012-09-09MULTIPOLYGON (((387253.2229383958 469603.8590542456, 387347.39307257277 469607.10630025377, 387394.4781396626 469602.235431244, 387459.42305978516 469598.9881852402, 387521.120733902 469590.8700702243, 387555.21681696555 469582.75195520755, 387597.4310150448 469561.6448561671, 387613.667245077 469551.90311814955, 387616.9144910815 469540.53775712877, 387610.41999907105 469527.54877310304, 387586.06565402274 469504.81805106165, 387555.216816967 469488.58182103065, 387534.10971792566 469482.0873290186, 387478.9065358228 469469.09834499494, 387376.6182866297 469467.47472199186, 387272.70641443436 469465.8510989875, 387185.03077226825 469477.2164600111, 387142.8165741898 469490.2054440342, 387100.602376109 469512.93616607354, 387092.48426109314 469519.430658089, 387089.2370150896 469529.17239610705, 387094.10788409895 469545.4086261381, 387115.21498313686 469566.515725177, 387157.4291812168 469581.12833220494, 387253.2229383958 469603.8590542456)))
19000000000009953포유류담비Martes flavigula (Boddaert, 1785)20122012-06-152012-09-09MULTIPOLYGON (((384298.58347084816 468786.9507693552, 384387.79977775563 468786.60894442414, 384398.7381755392 468785.9252945628, 384421.6404458945 468781.13974553114, 384441.80811680097 468774.64507185004, 384458.89936333604 468769.17587295687, 384481.4598087603 468757.55382531625, 384507.09667856095 468737.72797933954, 384514.95865196653 468729.8660059343, 384518.718726203 468724.7386319712, 384523.1624503016 468715.50935884414, 384523.16245030274 468704.57096106256, 384522.4788004414 468691.5816136964, 384517.35142648197 468683.03599042975, 384501.9693045998 468668.337518411, 384486.58718272124 468660.81736993504, 384446.59366583294 468649.19532229425, 384424.71687026956 468644.40977326524, 384412.06934783485 468642.7006486106, 384392.927151716 468641.6751738197, 384373.1013057367 468640.99152395804, 384342.3370619771 468641.333348889, 384325.58764037554 468641.33334888896, 384307.1290941185 468641.33334888855, 384283.88499883306 468644.7515981949, 384264.05915285624 468650.22079708497, 384251.75345534994
29000000000009954포유류삵Prionailurus bengalensis (Kerr, 1792)20122012-06-152012-09-09MULTIPOLYGON (((384334.8533321117 468953.897827767, 384394.4004298641 468957.95785715827, 384427.96333950636 468957.95785715675, 384458.2782256343 468956.60451402585, 384492.11180390185 468952.0031473827, 384515.93064300413 468946.31910623476, 384537.85480172304 468939.0110533291, 384557.0722741772 468927.9136396556, 384576.28974663466 468914.650876976, 384582.24445640825 468909.5081730798, 384585.2218112962 468905.17747505935, 384587.6578289317 468901.6587829209, 384590.90585244616 468892.45604963077, 384592.8005328297 468887.31334573356, 384593.88320733455 468875.1332575587, 384593.07120145345 468867.5545360249, 384587.3871603084 468856.7277909814, 384583.597799539 468851.31441845803, 384580.07910740026 468847.52505768975, 384576.28974663396 468843.7356969244, 384572.7710544968 468841.0290106622, 384565.1923329616 468835.8863067667, 384555.9895996725 468830.202265617, 384546.78686638636 468825.33023034653, 384537.3134644717 468820.45819507627, 384519.9906723956 468815.3154911786, 384508.89325872436 468812.8
39000000000009955포유류수달Lutra lutra (Linnaeus, 1758)20122012-06-152012-09-09MULTIPOLYGON (((384469.72124587017 469119.2505412789, 384546.0803866203 469122.8694579028, 384590.9549527533 469117.8029746294, 384616.28736911586 469112.3745996934, 384642.34356880444 469104.41298312286, 384665.14274353057 469095.7275832283, 384681.06597667077 469086.6802916693, 384689.75137657067 469078.7186750977, 384696.627318154 469069.67138353945, 384700.24623477744 469062.79544195154, 384703.1413680763 469050.8530170978, 384703.14136807434 469042.529508865, 384700.2462347781 469027.3300590464, 384696.26542649127 469019.3684424737, 384687.2181349341 469009.23547592823, 384653.56221033796 468990.7790011498, 384609.77331919514 468981.0079262665, 384587.3360361301 468981.0079262669, 384553.6801115335 468981.00792626664, 384516.40527031175 468981.3698179303, 384470.44502919505 468984.9887345532, 384441.13180454646 468991.14089281147, 384409.6472299241 469001.6357510199, 384391.55264680565 469009.59736759204, 384370.56293038966 469021.17790078686, 384364.4107721326 469027.691950708, 384357.17293888587 469039
49000000000009956포유류수달Lutra lutra (Linnaeus, 1758)20122012-06-152012-09-09MULTIPOLYGON (((384476.24427777727 469289.9777827307, 384543.0966341861 469294.6203074824, 384578.379822289 469294.310805833, 384612.42500379327 469291.21578933246, 384649.5652017983 469284.4067530306, 384672.4683238969 469277.5977167317, 384698.4664625027 469263.9796441281, 384713.6320433551 469253.45658802876, 384722.9170928552 469244.7905418278, 384729.72612915654 469235.1959906767, 384732.82114565605 469228.38695437484, 384734.67815555626 469215.69738672127, 384734.05915225553 469204.2458256732, 384732.5116440068 469198.05579267204, 384716.41755820764 469178.8666903702, 384705.2754988031 469170.81964747026, 384693.82393775176 469164.3201128192, 384659.1597529492 469150.70204021694, 384622.9480598947 469146.9880204148, 384605.6159674927 469146.6785187643, 384581.7843404383 469146.05951546377, 384534.7400896357 469146.67851876514, 384501.62341308105 469151.3210435144, 384478.4107893275 469155.65406661615, 384461.6977002277 469159.9870897153, 384440.96108967485 469167.4151293173, 384423.0099939724 469176.700
59000000000009957포유류삵Prionailurus bengalensis (Kerr, 1792)20122012-06-152012-09-09MULTIPOLYGON (((384549.2087674999 469484.4390217112, 384613.2899685589 469500.2565333645, 384632.7576752106 469502.2844194762, 384648.9807640879 469503.5011511384, 384671.28751128947 469503.9067283628, 384696.8388762702 469503.9067283624, 384711.0340790358 469503.5011511393, 384723.20139569364 469500.6621105869, 384751.18622400484 469493.7672978147, 384758.89219122037 469492.1449889282, 384771.05950787803 469487.68363948504, 384791.3383689732 469478.7609406046, 384809.5893439587 469469.8382417229, 384825.4068556126 469458.8876567317, 384832.70724560646 469450.37053507246, 384840.8187900446 469436.1753323044, 384843.2522533755 469428.46936508984, 384843.25225337443 469416.30204843346, 384842.0355217112 469406.1626178847, 384831.4905139404 469393.18414678506, 384822.56781505886 469383.4502934594, 384807.967035068 469374.9331717981, 384794.98856397066 469366.82162736054, 384755.24199622276 469353.84315626, 384695.6221446042 469347.35392070934, 384655.0644224157 469349.7873840405, 384621.4015129964 469355.0598879
69000000000009958포유류담비Martes flavigula (Boddaert, 1785)20122012-06-152012-09-09MULTIPOLYGON (((384651.531921983 469731.7614407021, 384706.3467353581 469737.16191492835, 384712.0172332936 469736.8918912165, 384743.06996008364 469737.16191492934, 384761.43157244415 469737.1619149279, 384792.4842992333 469734.73170152516, 384806.5255322163 469732.3014881268, 384828.9375002482 469727.9811087457, 384859.7202033265 469717.45018400985, 384868.3609620856 469713.129804629, 384892.66309609107 469698.81854793534, 384901.03383113845 469691.5279077318, 384905.08418681036 469687.7475757771, 384910.2146373224 469681.8070541295, 384914.8050404127 469673.70634279214, 384917.5052775255 469669.115939702, 384919.3954435035 469661.5552757884, 384919.9354909239 469655.34473043185, 384919.1254197936 469646.97399538296, 384915.3450878335 469638.8732840489, 384911.8347795864 469632.9327623999, 384901.30385485303 469625.10207477486, 384878.35183940013 469609.440699525, 384854.85977652424 469600.79994076636, 384828.3974528257 469595.12944282976, 384811.3859590201 469591.88915829593, 384716.3376126719 469592.42920
79000000000009959포유류하늘다람쥐Pteromys volans (Linnaeus, 1758)20122012-06-152012-09-09MULTIPOLYGON (((387398.193333755 468826.2354107185, 387461.1393120653 468846.03863984963, 387517.0127085396 468850.9894471313, 387548.83932678506 468853.11122168123, 387582.0804613971 468852.4039634982, 387615.3215960092 468851.6967053126, 387644.3191815222 468850.98944713135, 387678.97483250033 468844.6241234832, 387712.92322529503 468836.84428346576, 387759.6022653881 468819.87008706975, 387787.18533453485 468800.06685793964, 387809.11033821286 468783.7999197256, 387815.4756618632 468776.72733789333, 387823.25550187763 468768.2402396933, 387832.44985825964 468755.5095923949, 387835.9861491766 468747.7297523811, 387835.9861491744 468735.70636326575, 387835.98614917556 468721.5611996014, 387833.8643746277 468709.5378104864, 387829.62082552956 468693.2708722704, 387825.37727642874 468680.540224973, 387816.18292004656 468671.3458685917, 387779.4054945186 468644.4700576275, 387750.40790900646 468626.78860304883, 387679.68209068244 468602.7418248179, 387606.12723962776 468594.96198480256, 387526.2070649221 468596
89000000000009960포유류담비Martes flavigula (Boddaert, 1785)20122012-06-152012-09-09MULTIPOLYGON (((387474.3587832571 468314.5369579381, 387532.4039480493 468316.2275938054, 387569.03439185023 468314.5369579397, 387593.2668392878 468314.5369579393, 387616.93574143795 468313.4098673598, 387625.3889207753 468311.15568620164, 387636.6598265619 468310.02859562373, 387658.638092841 468304.393142732, 387689.06953846087 468296.5035086829, 387714.9926217653 468286.3596934754, 387724.5728916847 468279.5971500048, 387749.9324296967 468259.30951959157, 387757.2585184588 468250.8563402543, 387762.89397135377 468240.14897975937, 387765.1481525091 468231.6958004199, 387765.1481525097 468223.2426210792, 387765.1481525092 468210.84462471795, 387762.8939713532 468203.5185359578, 387751.6230655667 468188.8663584364, 387733.0260710223 468174.214180914, 387698.08626308746 468158.9984581069, 387663.14645515505 468148.85464290134, 387611.86383383337 468139.8379182711, 387536.9123103653 468137.0201918263, 387446.1815187951 468144.9098258745, 387410.1146202829 468150.5452787682, 387370.66645003343 468164.0703657081
99000000000009961포유류삵Prionailurus bengalensis (Kerr, 1792)20122012-06-152012-09-09MULTIPOLYGON (((387941.6695530673 467516.4082412963, 387984.2777337658 467527.2869257287, 388023.2596863188 467533.6328249821, 388043.6572196324 467534.5393820185, 388062.24163887446 467535.4459390525, 388087.1719573679 467535.8992175703, 388122.0744032564 467534.5393820183, 388156.0702921136 467525.47381165554, 388184.1735602357 467515.95496277726, 388201.8514224426 467506.43611389736, 388232.22108315007 467488.3049731741, 388242.193210547 467480.59923836606, 388249.8989453543 467472.44022504427, 388257.151401644 467459.2951480197, 388257.604680162 467450.22957765684, 388257.15140164486 467435.7246650787, 388253.5251734994 467420.7664739839, 388250.352223873 467413.060739176, 388219.5292846443 467385.4107495737, 388174.2014328358 467363.65338070615, 388154.7104565599 467357.76075997076, 388139.2989869463 467355.4943673799, 388097.1440847659 467353.2279747899, 388063.1481959105 467352.7746962701, 388013.7408374415 467354.13453182677, 387990.17035449995 467357.3074814531, 387945.74905972905 467367.7328873675,
공간아이디조사분야구분코드명종국명종학명조사년도조사시작일자조사종료일자지오메트리
909000000000010123포유류오소리Meles leucurus (Hodgson, 1847)20132013-05-242013-09-08MULTIPOLYGON (((346303.79115182906 547723.5853866857, 346371.62171787326 547688.0550901863, 346378.08177178225 547655.7548206415, 346339.32144832844 547618.609510665, 346265.03082837525 547620.2245241421, 346202.0453027628 547621.8395376194, 346187.51018146763 547625.0695645739, 346164.89999278623 547654.1398071642, 346147.13484453654 547686.4400767091, 346160.0549523545 547721.9703732084, 346198.8152758083 547728.8341804867, 346221.42546448973 547731.6604540719, 346237.57559926214 547731.6604540719, 346256.95576098905 547728.8341804867, 346303.79115182906 547723.5853866857)))
919000000000010124포유류등줄쥐Apodemus agrarius (Pallas, 1771)20132013-05-242013-09-08MULTIPOLYGON (((349647.227941604 548437.2513422081, 349715.0585076482 548401.7210457087, 349721.51856155717 548369.4207761639, 349682.75823810336 548332.2754661874, 349608.46761815017 548333.8904796646, 349545.48209253774 548335.5054931418, 349530.94697124255 548338.7355200964, 349508.33678256115 548367.8057626867, 349490.57163431146 548400.1060322316, 349503.49174212944 548435.6363287308, 349542.2520655832 548442.5001360092, 349564.86225426465 548445.3264095944, 349581.01238903706 548445.3264095944, 349600.39255076397 548442.5001360092, 349647.227941604 548437.2513422081)))
929000000000010125포유류다람쥐Tamias sibiricus (Laxmann, 1769)20132013-05-242013-09-08MULTIPOLYGON (((349964.97948212054 548439.8769196741, 350032.81004816474 548404.3466231747, 350039.27010207373 548372.0463536299, 350000.5097786199 548334.9010436534, 349926.21915866673 548336.5160571305, 349863.2336330543 548338.1310706078, 349848.6985117591 548341.3610975624, 349826.0883230777 548370.4313401526, 349808.323174828 548402.7316096976, 349821.243282646 548438.2619061968, 349860.00360609975 548445.1257134752, 349882.6137947812 548447.9519870604, 349898.7639295536 548447.9519870604, 349918.1440912805 548445.1257134752, 349964.97948212054 548439.8769196741)))
939000000000010126포유류청설모Sciurus vulgaris Linnaeus, 175820132013-05-242013-09-08MULTIPOLYGON (((349737.6686963295 548204.6894014853, 349805.4992623737 548169.1591049859, 349811.9593162827 548136.8588354411, 349773.1989928289 548099.7135254645, 349698.9083728757 548101.3285389417, 349635.9228472633 548102.943552419, 349621.3877259681 548106.1735793735, 349598.7775372867 548135.2438219638, 349581.012389037 548167.5440915087, 349593.932496855 548203.074388008, 349632.69282030873 548209.9381952863, 349655.3030089902 548212.7644688715, 349671.4531437626 548212.7644688715, 349690.8333054895 548209.9381952863, 349737.6686963295 548204.6894014853)))
949000000000010127포유류노루Capreolus pygargus (Pallas, 1771)20132013-05-242013-09-08MULTIPOLYGON (((348370.98951365234 548642.5186107133, 348438.82007969654 548606.9883142139, 348445.2801336055 548574.6880446691, 348406.5198101517 548537.5427346926, 348332.22919019853 548539.1577481697, 348269.2436645861 548540.772761647, 348254.7085432909 548544.0027886016, 348232.0983546095 548573.0730311918, 348214.3332063598 548605.3733007368, 348227.2533141778 548640.903597236, 348266.01363763155 548647.7674045144, 348288.623826313 548650.5936780996, 348304.7739610854 548650.5936780996, 348324.1541228123 548647.7674045144, 348370.98951365234 548642.5186107133)))
959000000000010128포유류두더지Mogera wogura (Temminck, 1848)20132013-05-242013-09-08MULTIPOLYGON (((349708.8251222974 548678.7666909804, 349776.6556883416 548643.236394481, 349783.1157422506 548610.9361249362, 349744.35541879677 548573.7908149597, 349670.0647988436 548575.4058284368, 349607.07927323115 548577.0208419141, 349592.54415193596 548580.2508688687, 349569.93396325456 548609.3211114589, 349552.1688150049 548641.6213810039, 349565.08892282285 548677.1516775031, 349603.8492462766 548684.0154847815, 349626.45943495806 548686.8417583667, 349642.60956973047 548686.8417583667, 349661.9897314574 548684.0154847815, 349708.8251222974 548678.7666909804)))
969000000000010129포유류멧돼지Sus scrofa Linnaeus, 175820132013-05-242013-09-08MULTIPOLYGON (((348653.5696495535 548838.8513602157, 348721.4002155977 548803.3210637163, 348727.8602695067 548771.0207941715, 348689.0999460529 548733.875484195, 348614.8093260997 548735.4904976721, 348551.82380048727 548737.1055111494, 348537.2886791921 548740.335538104, 348514.6784905107 548769.4057806942, 348496.913342261 548801.7060502392, 348509.83345007896 548837.2363467384, 348548.5937735327 548844.1001540167, 348571.2039622142 548846.926427602, 348587.3540969866 548846.926427602, 348606.7342587135 548844.1001540167, 348653.5696495535 548838.8513602157)))
979000000000010130포유류다람쥐Tamias sibiricus (Laxmann, 1769)20132013-05-242013-09-08MULTIPOLYGON (((346104.7383796283 547506.0213488978, 346172.5689456725 547470.4910523985, 346179.02899958147 547438.1907828536, 346140.26867612766 547401.0454728771, 346065.97805617447 547402.6604863543, 346002.99253056204 547404.2754998315, 345988.45740926685 547407.5055267861, 345965.84722058545 547436.5757693764, 345948.08207233576 547468.8760389213, 345961.00218015374 547504.4063354206, 345999.7625036075 547511.2701426989, 346022.37269228895 547514.0964162841, 346038.52282706136 547514.0964162841, 346057.90298878826 547511.2701426989, 346104.7383796283 547506.0213488978)))
989000000000010131포유류멧토끼Lepus coreanus Thomas, 189220132013-05-242013-09-08MULTIPOLYGON (((346929.7552643708 547211.5788917838, 346997.585830415 547176.0485952845, 347004.045884324 547143.7483257396, 346965.2855608702 547106.6030157631, 346890.994940917 547108.2180292403, 346828.0094153046 547109.8330427175, 346813.4742940094 547113.0630696721, 346790.864105328 547142.1333122624, 346773.0989570783 547174.4335818073, 346786.0190648963 547209.9638783066, 346824.77938835 547216.8276855849, 346847.3895770315 547219.6539591701, 346863.5397118039 547219.6539591701, 346882.9198735308 547216.8276855849, 346929.7552643708 547211.5788917838)))
999000000000010132포유류노루Capreolus pygargus (Pallas, 1771)20132013-05-242013-09-08MULTIPOLYGON (((347154.5726960216 547358.951232713, 347222.4032620658 547323.4209362136, 347228.86331597477 547291.1206666688, 347190.10299252096 547253.9753566922, 347115.8123725678 547255.5903701694, 347052.82684695534 547257.2053836467, 347038.29172566015 547260.4354106012, 347015.68153697875 547289.5056531915, 346997.91638872906 547321.8059227364, 347010.83649654704 547357.3362192357, 347049.5968200008 547364.200026514, 347072.20700868225 547367.0263000992, 347088.35714345466 547367.0263000992, 347107.73730518157 547364.200026514, 347154.5726960216 547358.951232713)), ((346745.83261843043 541122.0525193018, 346813.66318447463 541086.5222228024, 346820.1232383836 541054.2219532576, 346781.3629149298 541017.076643281, 346707.0722949766 541018.6916567582, 346644.0867693642 541020.3066702355, 346629.551648069 541023.53669719, 346606.9414593876 541052.6069397803, 346589.1763111379 541084.9072093252, 346602.0964189559 541120.4375058245, 346640.85674240964 541127.3013131028, 346663.4669310911 541130.127586688, 3