Overview

Dataset statistics

Number of variables60
Number of observations122
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.2 KiB
Average record size in memory539.1 B

Variable types

Categorical7
Text1
Numeric52

Dataset

Description경기도 양평군 지목별 면적현황데이터로 지목(전,답,과수원,목장용지,임야,광천지,염전,대,공장용지,학교용지,주차장,주유소용지,창고용지,도로,철도용지,제방,하천,구거,유지,양어장 등) 총28종의 지목별로 구분하여 제공합니다.,
Author경기도 양평군
URLhttps://www.data.go.kr/data/15102715/fileData.do

Alerts

행정구역명칭 has constant value ""Constant
광천지_면적(제곱미터) has constant value ""Constant
광천지_지번수 has constant value ""Constant
염전_면적(제곱미터) has constant value ""Constant
염전_지번수 has constant value ""Constant
사적지_면적(제곱미터) is highly imbalanced (84.8%)Imbalance
사적지_지번수 is highly imbalanced (84.8%)Imbalance
토지소재지 has unique valuesUnique
계_면적(제곱미터) has unique valuesUnique
전_면적(제곱미터) has unique valuesUnique
답_면적(제곱미터) has unique valuesUnique
임야_면적(제곱미터) has unique valuesUnique
대_면적(제곱미터) has unique valuesUnique
도로_면적(제곱미터) has unique valuesUnique
하천_면적(제곱미터) has unique valuesUnique
구거_면적(제곱미터) has unique valuesUnique
과수원_면적(제곱미터) has 53 (43.4%) zerosZeros
과수원_지번수 has 53 (43.4%) zerosZeros
목장용지_면적(제곱미터) has 2 (1.6%) zerosZeros
목장용지_지번수 has 2 (1.6%) zerosZeros
공장용지_면적(제곱미터) has 28 (23.0%) zerosZeros
공장용지_지번수 has 28 (23.0%) zerosZeros
학교용지_면적(제곱미터) has 58 (47.5%) zerosZeros
학교용지_지번수 has 58 (47.5%) zerosZeros
주차장_면적(제곱미터) has 38 (31.1%) zerosZeros
주차장_지번수 has 38 (31.1%) zerosZeros
주유소용지_면적(제곱미터) has 75 (61.5%) zerosZeros
주유소용지_지번수 has 75 (61.5%) zerosZeros
창고용지_면적(제곱미터) has 2 (1.6%) zerosZeros
창고용지_지번수 has 2 (1.6%) zerosZeros
철도용지_면적(제곱미터) has 84 (68.9%) zerosZeros
철도용지_지번수 has 84 (68.9%) zerosZeros
제방_면적(제곱미터) has 67 (54.9%) zerosZeros
제방_지번수 has 67 (54.9%) zerosZeros
유지_면적(제곱미터) has 37 (30.3%) zerosZeros
유지_지번수 has 37 (30.3%) zerosZeros
양어장_면적(제곱미터) has 99 (81.1%) zerosZeros
양어장_지번수 has 99 (81.1%) zerosZeros
수도용지_면적(제곱미터) has 101 (82.8%) zerosZeros
수도용지_지번수 has 101 (82.8%) zerosZeros
공원_면적(제곱미터) has 112 (91.8%) zerosZeros
공원_지번수 has 112 (91.8%) zerosZeros
체육용지_면적(제곱미터) has 67 (54.9%) zerosZeros
체육용지_지번수 has 67 (54.9%) zerosZeros
유원지_면적(제곱미터) has 59 (48.4%) zerosZeros
유원지_지번수 has 59 (48.4%) zerosZeros
종교용지_면적(제곱미터) has 17 (13.9%) zerosZeros
종교용지_지번수 has 17 (13.9%) zerosZeros
묘지_면적(제곱미터) has 4 (3.3%) zerosZeros
묘지_지번수 has 4 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-16 15:56:19.901606
Analysis finished2023-12-16 15:56:21.174589
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경기도 양평군
122 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 양평군 122
100.0%

Length

2023-12-16T15:56:21.522002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:56:22.201609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 122
50.0%
양평군 122
50.0%

토지소재지
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-16T15:56:23.356295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.5983607
Min length3

Characters and Unicode

Total characters805
Distinct characters110
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)100.0%

Sample

1st row양평읍
2nd row양평읍 양근리
3rd row양평읍 오빈리
4th row양평읍 신애리
5th row양평읍 덕평리
ValueCountFrequency (%)
용문면 14
 
6.0%
개군면 14
 
6.0%
양평읍 13
 
5.6%
양서면 12
 
5.2%
지평면 11
 
4.7%
단월면 10
 
4.3%
청운면 10
 
4.3%
서종면 9
 
3.9%
양동면 9
 
3.9%
강상면 8
 
3.4%
Other values (110) 122
52.6%
2023-12-16T15:56:25.778133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
13.7%
110
 
13.7%
109
 
13.5%
37
 
4.6%
28
 
3.5%
22
 
2.7%
18
 
2.2%
17
 
2.1%
15
 
1.9%
14
 
1.7%
Other values (100) 325
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
86.3%
Space Separator 110
 
13.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
110
 
15.8%
109
 
15.7%
37
 
5.3%
28
 
4.0%
22
 
3.2%
18
 
2.6%
17
 
2.4%
15
 
2.2%
14
 
2.0%
14
 
2.0%
Other values (99) 311
44.7%
Space Separator
ValueCountFrequency (%)
110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
86.3%
Common 110
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
110
 
15.8%
109
 
15.7%
37
 
5.3%
28
 
4.0%
22
 
3.2%
18
 
2.6%
17
 
2.4%
15
 
2.2%
14
 
2.0%
14
 
2.0%
Other values (99) 311
44.7%
Common
ValueCountFrequency (%)
110
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
86.3%
ASCII 110
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
100.0%
Hangul
ValueCountFrequency (%)
110
 
15.8%
109
 
15.7%
37
 
5.3%
28
 
4.0%
22
 
3.2%
18
 
2.6%
17
 
2.4%
15
 
2.2%
14
 
2.0%
14
 
2.0%
Other values (99) 311
44.7%

계_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14390441
Minimum1165227
Maximum1.2034726 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:26.885000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1165227
5-th percentile2389536.9
Q13675159.8
median6392594.3
Q313667685
95-th percentile66332600
Maximum1.2034726 × 108
Range1.1918203 × 108
Interquartile range (IQR)9992525.1

Descriptive statistics

Standard deviation22344190
Coefficient of variation (CV)1.5527106
Kurtosis10.033236
Mean14390441
Median Absolute Deviation (MAD)3304590.7
Skewness3.1673857
Sum1.7556338 × 109
Variance4.9926282 × 1014
MonotonicityNot monotonic
2023-12-16T15:56:27.629153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42226966.7 1
 
0.8%
5804789.6 1
 
0.8%
7592397.0 1
 
0.8%
17968548.8 1
 
0.8%
8471831.4 1
 
0.8%
6413584.6 1
 
0.8%
9748526.4 1
 
0.8%
4608622.6 1
 
0.8%
5784012.3 1
 
0.8%
77692959.9 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
1165227.0 1
0.8%
1171960.1 1
0.8%
1285598.0 1
0.8%
1435564.2 1
0.8%
1489184.0 1
0.8%
2034702.9 1
0.8%
2387972.0 1
0.8%
2419269.0 1
0.8%
2421529.0 1
0.8%
2460553.0 1
0.8%
ValueCountFrequency (%)
120347261.0 1
0.8%
107774668.5 1
0.8%
102575123.2 1
0.8%
96636087.9 1
0.8%
92731462.9 1
0.8%
77692959.9 1
0.8%
66686658.2 1
0.8%
59605485.5 1
0.8%
42226966.7 1
0.8%
41301515.6 1
0.8%

계_지번수
Real number (ℝ)

Distinct120
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5506
Minimum449
Maximum39111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:28.321527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449
5-th percentile1290.35
Q12173.5
median3015
Q34254.5
95-th percentile22315.75
Maximum39111
Range38662
Interquartile range (IQR)2081

Descriptive statistics

Standard deviation7937.7699
Coefficient of variation (CV)1.4416582
Kurtosis8.4669167
Mean5506
Median Absolute Deviation (MAD)1084
Skewness3.0281363
Sum671732
Variance63008192
MonotonicityNot monotonic
2023-12-16T15:56:29.021084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2587 2
 
1.6%
2242 2
 
1.6%
3832 1
 
0.8%
2879 1
 
0.8%
4659 1
 
0.8%
3075 1
 
0.8%
3582 1
 
0.8%
4773 1
 
0.8%
3602 1
 
0.8%
4199 1
 
0.8%
Other values (110) 110
90.2%
ValueCountFrequency (%)
449 1
0.8%
710 1
0.8%
901 1
0.8%
984 1
0.8%
1116 1
0.8%
1235 1
0.8%
1290 1
0.8%
1297 1
0.8%
1377 1
0.8%
1613 1
0.8%
ValueCountFrequency (%)
39111 1
0.8%
38819 1
0.8%
35562 1
0.8%
33809 1
0.8%
32468 1
0.8%
31211 1
0.8%
22385 1
0.8%
21000 1
0.8%
20995 1
0.8%
20725 1
0.8%

전_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean907382.19
Minimum63499
Maximum7458564.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:29.824290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63499
5-th percentile155414.69
Q1336269.75
median464385.3
Q3725122.75
95-th percentile3807982.2
Maximum7458564.3
Range7395065.3
Interquartile range (IQR)388853

Descriptive statistics

Standard deviation1351622.5
Coefficient of variation (CV)1.4895846
Kurtosis10.989522
Mean907382.19
Median Absolute Deviation (MAD)168727.9
Skewness3.2881497
Sum1.1070063 × 108
Variance1.8268834 × 1012
MonotonicityNot monotonic
2023-12-16T15:56:30.506383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4815874.0 1
 
0.8%
593161.0 1
 
0.8%
561444.0 1
 
0.8%
1180855.2 1
 
0.8%
1075347.0 1
 
0.8%
853328.0 1
 
0.8%
942911.0 1
 
0.8%
461878.0 1
 
0.8%
483941.0 1
 
0.8%
7331409.9 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
63499.0 1
0.8%
87731.6 1
0.8%
113407.0 1
0.8%
145370.0 1
0.8%
148674.0 1
0.8%
152137.0 1
0.8%
153298.3 1
0.8%
195626.0 1
0.8%
196195.0 1
0.8%
212995.0 1
0.8%
ValueCountFrequency (%)
7458564.3 1
0.8%
7331409.9 1
0.8%
6421794.0 1
0.8%
4974290.2 1
0.8%
4815874.0 1
0.8%
4612881.2 1
0.8%
3818954.8 1
0.8%
3599502.4 1
0.8%
3576806.6 1
0.8%
3340387.3 1
0.8%

전_지번수
Real number (ℝ)

Distinct115
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean993.01639
Minimum70
Maximum7667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:31.284909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile217.5
Q1388.5
median542.5
Q3812.5
95-th percentile4546.75
Maximum7667
Range7597
Interquartile range (IQR)424

Descriptive statistics

Standard deviation1452.9892
Coefficient of variation (CV)1.4632076
Kurtosis9.8427647
Mean993.01639
Median Absolute Deviation (MAD)190
Skewness3.1874597
Sum121148
Variance2111177.5
MonotonicityNot monotonic
2023-12-16T15:56:32.277396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
671 2
 
1.6%
348 2
 
1.6%
441 2
 
1.6%
740 2
 
1.6%
410 2
 
1.6%
432 2
 
1.6%
919 2
 
1.6%
6597 1
 
0.8%
830 1
 
0.8%
1119 1
 
0.8%
Other values (105) 105
86.1%
ValueCountFrequency (%)
70 1
0.8%
103 1
0.8%
142 1
0.8%
164 1
0.8%
186 1
0.8%
205 1
0.8%
217 1
0.8%
227 1
0.8%
228 1
0.8%
233 1
0.8%
ValueCountFrequency (%)
7667 1
0.8%
7364 1
0.8%
6816 1
0.8%
6597 1
0.8%
4808 1
0.8%
4622 1
0.8%
4555 1
0.8%
4390 1
0.8%
4008 1
0.8%
3682 1
0.8%

답_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1050319.8
Minimum5432
Maximum9071444.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:32.957821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5432
5-th percentile184563.05
Q1405548.47
median558944
Q3861265.43
95-th percentile4383586.4
Maximum9071444.9
Range9066012.9
Interquartile range (IQR)455716.95

Descriptive statistics

Standard deviation1557414.6
Coefficient of variation (CV)1.4828003
Kurtosis11.217967
Mean1050319.8
Median Absolute Deviation (MAD)185252
Skewness3.3167429
Sum1.2813902 × 108
Variance2.4255402 × 1012
MonotonicityNot monotonic
2023-12-16T15:56:33.618231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6069477.7 1
 
0.8%
1232773.0 1
 
0.8%
470272.0 1
 
0.8%
1197742.0 1
 
0.8%
598220.4 1
 
0.8%
718983.6 1
 
0.8%
1014196.5 1
 
0.8%
776466.5 1
 
0.8%
1011023.5 1
 
0.8%
9071444.9 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
5432.0 1
0.8%
78937.0 1
0.8%
92298.0 1
0.8%
141713.0 1
0.8%
180731.0 1
0.8%
183556.0 1
0.8%
184058.0 1
0.8%
194159.0 1
0.8%
202037.0 1
0.8%
204712.0 1
0.8%
ValueCountFrequency (%)
9071444.9 1
0.8%
8000942.9 1
0.8%
7098085.6 1
0.8%
6069477.7 1
0.8%
6036525.1 1
0.8%
4903385.0 1
0.8%
4406810.2 1
0.8%
3942333.5 1
0.8%
3852454.5 1
0.8%
3794697.2 1
0.8%

답_지번수
Real number (ℝ)

Distinct116
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean983.88525
Minimum10
Maximum7136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:34.335551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile217
Q1402.5
median554.5
Q3770.25
95-th percentile4477.25
Maximum7136
Range7126
Interquartile range (IQR)367.75

Descriptive statistics

Standard deviation1410.5462
Coefficient of variation (CV)1.4336491
Kurtosis8.5887861
Mean983.88525
Median Absolute Deviation (MAD)168
Skewness3.0316317
Sum120034
Variance1989640.4
MonotonicityNot monotonic
2023-12-16T15:56:35.090539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
287 2
 
1.6%
528 2
 
1.6%
404 2
 
1.6%
704 2
 
1.6%
335 2
 
1.6%
676 2
 
1.6%
986 1
 
0.8%
449 1
 
0.8%
472 1
 
0.8%
868 1
 
0.8%
Other values (106) 106
86.9%
ValueCountFrequency (%)
10 1
0.8%
74 1
0.8%
137 1
0.8%
171 1
0.8%
189 1
0.8%
212 1
0.8%
216 1
0.8%
236 1
0.8%
247 1
0.8%
249 1
0.8%
ValueCountFrequency (%)
7136 1
0.8%
6862 1
0.8%
6793 1
0.8%
5938 1
0.8%
4883 1
0.8%
4803 1
0.8%
4494 1
0.8%
4159 1
0.8%
4095 1
0.8%
3738 1
0.8%

과수원_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11711.146
Minimum0
Maximum178829
Zeros53
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:35.642665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2360.75
Q313422.25
95-th percentile52101.38
Maximum178829
Range178829
Interquartile range (IQR)13422.25

Descriptive statistics

Standard deviation25020.374
Coefficient of variation (CV)2.1364583
Kurtosis21.634034
Mean11711.146
Median Absolute Deviation (MAD)2360.75
Skewness4.2168248
Sum1428759.8
Variance6.2601914 × 108
MonotonicityNot monotonic
2023-12-16T15:56:36.769986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 53
43.4%
5935.0 2
 
1.6%
3567.0 1
 
0.8%
16666.0 1
 
0.8%
29069.0 1
 
0.8%
14885.0 1
 
0.8%
11364.0 1
 
0.8%
8749.0 1
 
0.8%
2418.0 1
 
0.8%
18190.0 1
 
0.8%
Other values (59) 59
48.4%
ValueCountFrequency (%)
0.0 53
43.4%
350.0 1
 
0.8%
473.0 1
 
0.8%
536.0 1
 
0.8%
616.0 1
 
0.8%
809.0 1
 
0.8%
941.0 1
 
0.8%
1954.0 1
 
0.8%
2303.5 1
 
0.8%
2418.0 1
 
0.8%
ValueCountFrequency (%)
178829.0 1
0.8%
134266.0 1
0.8%
104908.0 1
0.8%
77275.4 1
0.8%
57985.0 1
0.8%
57484.5 1
0.8%
52409.4 1
0.8%
46249.0 1
0.8%
38921.7 1
0.8%
32845.0 1
0.8%

과수원_지번수
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9180328
Minimum0
Maximum137
Zeros53
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:37.972435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35.85
Maximum137
Range137
Interquartile range (IQR)6

Descriptive statistics

Standard deviation20.281731
Coefficient of variation (CV)2.2742382
Kurtosis18.221829
Mean8.9180328
Median Absolute Deviation (MAD)1
Skewness3.9380628
Sum1088
Variance411.3486
MonotonicityNot monotonic
2023-12-16T15:56:38.928573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 53
43.4%
1 12
 
9.8%
2 11
 
9.0%
6 6
 
4.9%
5 5
 
4.1%
3 4
 
3.3%
8 3
 
2.5%
17 2
 
1.6%
9 2
 
1.6%
16 2
 
1.6%
Other values (21) 22
18.0%
ValueCountFrequency (%)
0 53
43.4%
1 12
 
9.8%
2 11
 
9.0%
3 4
 
3.3%
4 1
 
0.8%
5 5
 
4.1%
6 6
 
4.9%
7 1
 
0.8%
8 3
 
2.5%
9 2
 
1.6%
ValueCountFrequency (%)
137 1
0.8%
104 1
0.8%
84 1
0.8%
79 1
0.8%
54 1
0.8%
45 1
0.8%
36 1
0.8%
33 1
0.8%
32 1
0.8%
29 2
1.6%

목장용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52237.823
Minimum0
Maximum606034
Zeros2
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:39.865485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile771.95
Q17481.75
median17336
Q346140.25
95-th percentile214109.95
Maximum606034
Range606034
Interquartile range (IQR)38658.5

Descriptive statistics

Standard deviation94783.725
Coefficient of variation (CV)1.8144655
Kurtosis12.828711
Mean52237.823
Median Absolute Deviation (MAD)12953
Skewness3.3517532
Sum6373014.4
Variance8.9839546 × 109
MonotonicityNot monotonic
2023-12-16T15:56:40.731944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
1.6%
10211.0 1
 
0.8%
8943.0 1
 
0.8%
18025.0 1
 
0.8%
10852.0 1
 
0.8%
69295.0 1
 
0.8%
41607.0 1
 
0.8%
21104.0 1
 
0.8%
7930.0 1
 
0.8%
355713.0 1
 
0.8%
Other values (111) 111
91.0%
ValueCountFrequency (%)
0.0 2
1.6%
128.0 1
0.8%
330.0 1
0.8%
385.0 1
0.8%
506.0 1
0.8%
735.0 1
0.8%
1474.0 1
0.8%
1618.0 1
0.8%
1649.0 1
0.8%
2068.0 1
0.8%
ValueCountFrequency (%)
606034.0 1
0.8%
405843.7 1
0.8%
388147.0 1
0.8%
362000.4 1
0.8%
355713.0 1
0.8%
317457.0 1
0.8%
214163.0 1
0.8%
213102.1 1
0.8%
205245.0 1
0.8%
188427.0 1
0.8%

목장용지_지번수
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.655738
Minimum0
Maximum308
Zeros2
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:41.599669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median21
Q341
95-th percentile218.5
Maximum308
Range308
Interquartile range (IQR)31

Descriptive statistics

Standard deviation62.490564
Coefficient of variation (CV)1.500167
Kurtosis7.035656
Mean41.655738
Median Absolute Deviation (MAD)14
Skewness2.7293596
Sum5082
Variance3905.0706
MonotonicityNot monotonic
2023-12-16T15:56:42.475420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 7
 
5.7%
1 6
 
4.9%
11 5
 
4.1%
16 4
 
3.3%
13 4
 
3.3%
19 4
 
3.3%
27 4
 
3.3%
15 4
 
3.3%
22 3
 
2.5%
5 3
 
2.5%
Other values (54) 78
63.9%
ValueCountFrequency (%)
0 2
 
1.6%
1 6
4.9%
2 2
 
1.6%
3 2
 
1.6%
4 7
5.7%
5 3
2.5%
6 1
 
0.8%
7 3
2.5%
8 3
2.5%
9 1
 
0.8%
ValueCountFrequency (%)
308 1
0.8%
273 1
0.8%
271 1
0.8%
263 1
0.8%
231 1
0.8%
223 1
0.8%
219 1
0.8%
209 1
0.8%
168 1
0.8%
151 1
0.8%

임야_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10391748
Minimum193461
Maximum93770540
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:43.469740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193461
5-th percentile550151.34
Q11731333
median4327782
Q311208222
95-th percentile47871035
Maximum93770540
Range93577079
Interquartile range (IQR)9476889

Descriptive statistics

Standard deviation17421946
Coefficient of variation (CV)1.6765174
Kurtosis11.291858
Mean10391748
Median Absolute Deviation (MAD)3057638.5
Skewness3.303672
Sum1.2677932 × 109
Variance3.0352421 × 1014
MonotonicityNot monotonic
2023-12-16T15:56:44.391481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15646289.0 1
 
0.8%
3172984.0 1
 
0.8%
4780104.0 1
 
0.8%
13876649.0 1
 
0.8%
6028646.0 1
 
0.8%
3964419.0 1
 
0.8%
6457366.0 1
 
0.8%
1881497.0 1
 
0.8%
2136962.0 1
 
0.8%
48375271.3 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
193461.0 1
0.8%
329234.1 1
0.8%
344079.0 1
0.8%
407256.0 1
0.8%
467003.0 1
0.8%
514326.0 1
0.8%
543981.0 1
0.8%
667387.8 1
0.8%
667675.0 1
0.8%
694337.0 1
0.8%
ValueCountFrequency (%)
93770539.8 1
0.8%
90510661.0 1
0.8%
77970842.0 1
0.8%
76816830.0 1
0.8%
73712750.6 1
0.8%
52497080.3 1
0.8%
48375271.3 1
0.8%
38290550.0 1
0.8%
28849371.0 1
0.8%
28303836.8 1
0.8%

임야_지번수
Real number (ℝ)

Distinct113
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1002.9672
Minimum86
Maximum9220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:45.074612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile132.05
Q1334.25
median513
Q3750.25
95-th percentile4935.1
Maximum9220
Range9134
Interquartile range (IQR)416

Descriptive statistics

Standard deviation1532.7325
Coefficient of variation (CV)1.528198
Kurtosis10.65953
Mean1002.9672
Median Absolute Deviation (MAD)221
Skewness3.1966486
Sum122362
Variance2349269
MonotonicityNot monotonic
2023-12-16T15:56:46.062886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389 3
 
2.5%
499 3
 
2.5%
191 2
 
1.6%
513 2
 
1.6%
355 2
 
1.6%
657 2
 
1.6%
132 2
 
1.6%
998 1
 
0.8%
992 1
 
0.8%
735 1
 
0.8%
Other values (103) 103
84.4%
ValueCountFrequency (%)
86 1
0.8%
89 1
0.8%
91 1
0.8%
112 1
0.8%
120 1
0.8%
132 2
1.6%
133 1
0.8%
136 1
0.8%
139 1
0.8%
162 1
0.8%
ValueCountFrequency (%)
9220 1
0.8%
6599 1
0.8%
6575 1
0.8%
6563 1
0.8%
5619 1
0.8%
5246 1
0.8%
4960 1
0.8%
4462 1
0.8%
3341 1
0.8%
3216 1
0.8%

광천지_면적(제곱미터)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
122 

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 (%)
0 122
100.0%

Length

2023-12-16T15:56:47.314528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:56:47.950243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 122
100.0%

광천지_지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
122 

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 (%)
0 122
100.0%

Length

2023-12-16T15:56:48.827990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:56:49.349331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 122
100.0%

염전_면적(제곱미터)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
122 

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 (%)
0 122
100.0%

Length

2023-12-16T15:56:50.040226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:56:50.869573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 122
100.0%

염전_지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
122 

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 (%)
0 122
100.0%

Length

2023-12-16T15:56:51.592767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:56:52.181890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 122
100.0%

대_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean470559.22
Minimum48443
Maximum4089580.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:53.228774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48443
5-th percentile90234.55
Q1157882.25
median224488.8
Q3378135.03
95-th percentile2143647
Maximum4089580.3
Range4041137.3
Interquartile range (IQR)220252.78

Descriptive statistics

Standard deviation717442.13
Coefficient of variation (CV)1.5246585
Kurtosis11.219914
Mean470559.22
Median Absolute Deviation (MAD)89520
Skewness3.2846283
Sum57408225
Variance5.1472321 × 1011
MonotonicityNot monotonic
2023-12-16T15:56:54.603553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4089580.3 1
 
0.8%
194464.0 1
 
0.8%
143730.0 1
 
0.8%
256855.0 1
 
0.8%
191023.0 1
 
0.8%
217783.2 1
 
0.8%
388047.0 1
 
0.8%
338537.0 1
 
0.8%
249624.8 1
 
0.8%
2382143.0 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
48443.0 1
0.8%
55115.0 1
0.8%
61057.0 1
0.8%
61329.0 1
0.8%
61881.0 1
0.8%
83643.4 1
0.8%
90222.0 1
0.8%
90473.0 1
0.8%
91991.0 1
0.8%
96037.0 1
0.8%
ValueCountFrequency (%)
4089580.3 1
0.8%
3723723.5 1
0.8%
3520333.3 1
0.8%
2691415.7 1
0.8%
2382143.0 1
0.8%
2184671.3 1
0.8%
2149307.1 1
0.8%
2036104.8 1
0.8%
1676932.2 1
0.8%
1513806.8 1
0.8%

대_지번수
Real number (ℝ)

Distinct119
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1016.6721
Minimum105
Maximum8659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:55.783385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile186.05
Q1330.25
median510
Q3790.25
95-th percentile4276.15
Maximum8659
Range8554
Interquartile range (IQR)460

Descriptive statistics

Standard deviation1559.8927
Coefficient of variation (CV)1.5343124
Kurtosis11.422119
Mean1016.6721
Median Absolute Deviation (MAD)215
Skewness3.3185958
Sum124034
Variance2433265.1
MonotonicityNot monotonic
2023-12-16T15:56:56.872764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
652 2
 
1.6%
449 2
 
1.6%
558 2
 
1.6%
8659 1
 
0.8%
395 1
 
0.8%
378 1
 
0.8%
279 1
 
0.8%
415 1
 
0.8%
501 1
 
0.8%
742 1
 
0.8%
Other values (109) 109
89.3%
ValueCountFrequency (%)
105 1
0.8%
107 1
0.8%
121 1
0.8%
130 1
0.8%
164 1
0.8%
181 1
0.8%
186 1
0.8%
187 1
0.8%
190 1
0.8%
204 1
0.8%
ValueCountFrequency (%)
8659 1
0.8%
8464 1
0.8%
7400 1
0.8%
6542 1
0.8%
5133 1
0.8%
4701 1
0.8%
4281 1
0.8%
4184 1
0.8%
3546 1
0.8%
3205 1
0.8%

공장용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9407.7377
Minimum0
Maximum109778
Zeros28
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:58.038389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1463
median3237
Q312070.75
95-th percentile38883.55
Maximum109778
Range109778
Interquartile range (IQR)11607.75

Descriptive statistics

Standard deviation17222.973
Coefficient of variation (CV)1.8307242
Kurtosis17.971255
Mean9407.7377
Median Absolute Deviation (MAD)3237
Skewness3.8228065
Sum1147744
Variance2.9663081 × 108
MonotonicityNot monotonic
2023-12-16T15:56:59.086684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 28
 
23.0%
109778.0 1
 
0.8%
9441.0 1
 
0.8%
5052.0 1
 
0.8%
17213.0 1
 
0.8%
17935.0 1
 
0.8%
3338.0 1
 
0.8%
108398.0 1
 
0.8%
13973.0 1
 
0.8%
7465.0 1
 
0.8%
Other values (85) 85
69.7%
ValueCountFrequency (%)
0.0 28
23.0%
201.0 1
 
0.8%
306.0 1
 
0.8%
460.0 1
 
0.8%
472.0 1
 
0.8%
699.0 1
 
0.8%
706.0 1
 
0.8%
753.0 1
 
0.8%
768.0 1
 
0.8%
782.0 1
 
0.8%
ValueCountFrequency (%)
109778.0 1
0.8%
108398.0 1
0.8%
58111.0 1
0.8%
53650.6 1
0.8%
51537.0 1
0.8%
39723.4 1
0.8%
39070.0 1
0.8%
35341.0 1
0.8%
31787.0 1
0.8%
30715.0 1
0.8%

공장용지_지번수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3114754
Minimum0
Maximum118
Zeros28
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:56:59.823532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile33.8
Maximum118
Range118
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.777178
Coefficient of variation (CV)1.7779248
Kurtosis25.701726
Mean8.3114754
Median Absolute Deviation (MAD)3
Skewness4.2733633
Sum1014
Variance218.36499
MonotonicityNot monotonic
2023-12-16T15:57:00.627757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 28
23.0%
2 18
14.8%
3 13
10.7%
1 9
 
7.4%
4 6
 
4.9%
6 5
 
4.1%
7 4
 
3.3%
5 4
 
3.3%
21 3
 
2.5%
11 3
 
2.5%
Other values (19) 29
23.8%
ValueCountFrequency (%)
0 28
23.0%
1 9
 
7.4%
2 18
14.8%
3 13
10.7%
4 6
 
4.9%
5 4
 
3.3%
6 5
 
4.1%
7 4
 
3.3%
8 2
 
1.6%
9 3
 
2.5%
ValueCountFrequency (%)
118 1
0.8%
55 1
0.8%
54 1
0.8%
43 1
0.8%
36 1
0.8%
35 1
0.8%
34 1
0.8%
30 1
0.8%
29 2
1.6%
27 2
1.6%

학교용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13182.677
Minimum0
Maximum138538.3
Zeros58
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:01.666089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1500.5
Q313988
95-th percentile75743.8
Maximum138538.3
Range138538.3
Interquartile range (IQR)13988

Descriptive statistics

Standard deviation24043.91
Coefficient of variation (CV)1.8239019
Kurtosis8.0683024
Mean13182.677
Median Absolute Deviation (MAD)1500.5
Skewness2.7025991
Sum1608286.6
Variance5.7810962 × 108
MonotonicityNot monotonic
2023-12-16T15:57:02.693444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
47.5%
138538.3 1
 
0.8%
12827.0 1
 
0.8%
9155.0 1
 
0.8%
8489.0 1
 
0.8%
9460.0 1
 
0.8%
6952.0 1
 
0.8%
8894.0 1
 
0.8%
19848.0 1
 
0.8%
76742.0 1
 
0.8%
Other values (55) 55
45.1%
ValueCountFrequency (%)
0.0 58
47.5%
412.0 1
 
0.8%
652.0 1
 
0.8%
1117.0 1
 
0.8%
1884.0 1
 
0.8%
2000.0 1
 
0.8%
2681.0 1
 
0.8%
4223.0 1
 
0.8%
4585.0 1
 
0.8%
5131.0 1
 
0.8%
ValueCountFrequency (%)
138538.3 1
0.8%
95908.0 1
0.8%
89159.0 1
0.8%
88476.0 1
0.8%
79157.3 1
0.8%
77474.0 1
0.8%
76742.0 1
0.8%
56778.0 1
0.8%
56306.0 1
0.8%
54598.0 1
0.8%

학교용지_지번수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4098361
Minimum0
Maximum33
Zeros58
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:03.554376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile16.9
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.3333749
Coefficient of variation (CV)1.857384
Kurtosis7.4893675
Mean3.4098361
Median Absolute Deviation (MAD)1
Skewness2.7161805
Sum416
Variance40.111638
MonotonicityNot monotonic
2023-12-16T15:57:04.086321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 58
47.5%
1 17
 
13.9%
4 14
 
11.5%
3 7
 
5.7%
2 4
 
3.3%
5 3
 
2.5%
8 2
 
1.6%
7 2
 
1.6%
13 2
 
1.6%
12 2
 
1.6%
Other values (11) 11
 
9.0%
ValueCountFrequency (%)
0 58
47.5%
1 17
 
13.9%
2 4
 
3.3%
3 7
 
5.7%
4 14
 
11.5%
5 3
 
2.5%
6 1
 
0.8%
7 2
 
1.6%
8 2
 
1.6%
10 1
 
0.8%
ValueCountFrequency (%)
33 1
0.8%
27 1
0.8%
26 1
0.8%
25 1
0.8%
24 1
0.8%
22 1
0.8%
17 1
0.8%
15 1
0.8%
14 1
0.8%
13 2
1.6%

주차장_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2777.6705
Minimum0
Maximum38551.7
Zeros38
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:04.851685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median836.5
Q32999.1
95-th percentile12866.99
Maximum38551.7
Range38551.7
Interquartile range (IQR)2999.1

Descriptive statistics

Standard deviation5397.7133
Coefficient of variation (CV)1.9432518
Kurtosis20.84676
Mean2777.6705
Median Absolute Deviation (MAD)836.5
Skewness4.0302023
Sum338875.8
Variance29135308
MonotonicityNot monotonic
2023-12-16T15:57:05.970858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
31.1%
38551.7 1
 
0.8%
2433.0 1
 
0.8%
372.0 1
 
0.8%
30680.0 1
 
0.8%
3979.0 1
 
0.8%
1535.0 1
 
0.8%
988.0 1
 
0.8%
491.0 1
 
0.8%
6993.0 1
 
0.8%
Other values (75) 75
61.5%
ValueCountFrequency (%)
0.0 38
31.1%
86.0 1
 
0.8%
107.0 1
 
0.8%
125.0 1
 
0.8%
133.0 1
 
0.8%
169.0 1
 
0.8%
201.0 1
 
0.8%
223.0 1
 
0.8%
228.0 1
 
0.8%
305.0 1
 
0.8%
ValueCountFrequency (%)
38551.7 1
0.8%
30680.0 1
0.8%
14953.0 1
0.8%
13823.0 1
0.8%
13612.0 1
0.8%
13429.0 1
0.8%
12938.7 1
0.8%
11504.5 1
0.8%
10746.0 1
0.8%
9971.0 1
0.8%

주차장_지번수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0491803
Minimum0
Maximum55
Zeros38
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:06.744358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile23.95
Maximum55
Range55
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.63
Coefficient of variation (CV)1.7091883
Kurtosis10.439895
Mean5.0491803
Median Absolute Deviation (MAD)2
Skewness2.91822
Sum616
Variance74.4769
MonotonicityNot monotonic
2023-12-16T15:57:07.596711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 38
31.1%
1 17
13.9%
2 16
13.1%
3 12
 
9.8%
4 6
 
4.9%
5 5
 
4.1%
7 3
 
2.5%
10 3
 
2.5%
24 2
 
1.6%
9 2
 
1.6%
Other values (14) 18
14.8%
ValueCountFrequency (%)
0 38
31.1%
1 17
13.9%
2 16
13.1%
3 12
 
9.8%
4 6
 
4.9%
5 5
 
4.1%
6 2
 
1.6%
7 3
 
2.5%
8 2
 
1.6%
9 2
 
1.6%
ValueCountFrequency (%)
55 1
0.8%
34 1
0.8%
32 1
0.8%
28 1
0.8%
26 1
0.8%
24 2
1.6%
23 2
1.6%
22 1
0.8%
20 1
0.8%
19 1
0.8%

주유소용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean940.27869
Minimum0
Maximum19872
Zeros75
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:08.355211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3976.25
95-th percentile5938.5
Maximum19872
Range19872
Interquartile range (IQR)976.25

Descriptive statistics

Standard deviation2403.7994
Coefficient of variation (CV)2.5564754
Kurtosis32.94456
Mean940.27869
Median Absolute Deviation (MAD)0
Skewness5.0071649
Sum114714
Variance5778251.4
MonotonicityNot monotonic
2023-12-16T15:57:09.010878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 75
61.5%
232 2
 
1.6%
35 2
 
1.6%
366 1
 
0.8%
4008 1
 
0.8%
2214 1
 
0.8%
1794 1
 
0.8%
2440 1
 
0.8%
756 1
 
0.8%
908 1
 
0.8%
Other values (36) 36
29.5%
ValueCountFrequency (%)
0 75
61.5%
35 2
 
1.6%
96 1
 
0.8%
198 1
 
0.8%
232 2
 
1.6%
366 1
 
0.8%
426 1
 
0.8%
462 1
 
0.8%
652 1
 
0.8%
731 1
 
0.8%
ValueCountFrequency (%)
19872 1
0.8%
9205 1
0.8%
7319 1
0.8%
6679 1
0.8%
6223 1
0.8%
6146 1
0.8%
6025 1
0.8%
4295 1
0.8%
4260 1
0.8%
4008 1
0.8%

주유소용지_지번수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3934426
Minimum0
Maximum20
Zeros75
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:09.471616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile7.9
Maximum20
Range20
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.9220093
Coefficient of variation (CV)2.0969714
Kurtosis15.433795
Mean1.3934426
Median Absolute Deviation (MAD)0
Skewness3.4867529
Sum170
Variance8.5381385
MonotonicityNot monotonic
2023-12-16T15:57:09.961619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 75
61.5%
1 16
 
13.1%
2 11
 
9.0%
4 7
 
5.7%
3 3
 
2.5%
6 2
 
1.6%
8 2
 
1.6%
20 1
 
0.8%
5 1
 
0.8%
10 1
 
0.8%
Other values (3) 3
 
2.5%
ValueCountFrequency (%)
0 75
61.5%
1 16
 
13.1%
2 11
 
9.0%
3 3
 
2.5%
4 7
 
5.7%
5 1
 
0.8%
6 2
 
1.6%
8 2
 
1.6%
9 1
 
0.8%
10 1
 
0.8%
ValueCountFrequency (%)
20 1
 
0.8%
12 1
 
0.8%
11 1
 
0.8%
10 1
 
0.8%
9 1
 
0.8%
8 2
 
1.6%
6 2
 
1.6%
5 1
 
0.8%
4 7
5.7%
3 3
2.5%

창고용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21508.78
Minimum0
Maximum257605
Zeros2
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:10.448514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1248.9
Q14788.25
median9913
Q319105.9
95-th percentile99097.4
Maximum257605
Range257605
Interquartile range (IQR)14317.65

Descriptive statistics

Standard deviation35884.689
Coefficient of variation (CV)1.6683739
Kurtosis18.841019
Mean21508.78
Median Absolute Deviation (MAD)5852.5
Skewness3.8961743
Sum2624071.2
Variance1.2877109 × 109
MonotonicityNot monotonic
2023-12-16T15:57:11.134882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
1.6%
257605.0 1
 
0.8%
3944.0 1
 
0.8%
1751.0 1
 
0.8%
6405.0 1
 
0.8%
4112.0 1
 
0.8%
11313.0 1
 
0.8%
4438.0 1
 
0.8%
8980.0 1
 
0.8%
76875.0 1
 
0.8%
Other values (111) 111
91.0%
ValueCountFrequency (%)
0.0 2
1.6%
394.0 1
0.8%
733.0 1
0.8%
977.0 1
0.8%
1162.0 1
0.8%
1238.0 1
0.8%
1456.0 1
0.8%
1599.0 1
0.8%
1745.0 1
0.8%
1751.0 1
0.8%
ValueCountFrequency (%)
257605.0 1
0.8%
185857.0 1
0.8%
116192.2 1
0.8%
114569.0 1
0.8%
113034.0 1
0.8%
103935.0 1
0.8%
100267.0 1
0.8%
76875.0 1
0.8%
76581.0 1
0.8%
72138.4 1
0.8%

창고용지_지번수
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.672131
Minimum0
Maximum417
Zeros2
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:11.969875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median18
Q336
95-th percentile194.75
Maximum417
Range417
Interquartile range (IQR)26

Descriptive statistics

Standard deviation64.984352
Coefficient of variation (CV)1.6380353
Kurtosis14.005662
Mean39.672131
Median Absolute Deviation (MAD)10.5
Skewness3.5313662
Sum4840
Variance4222.966
MonotonicityNot monotonic
2023-12-16T15:57:12.949549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 6
 
4.9%
9 6
 
4.9%
12 5
 
4.1%
18 5
 
4.1%
10 5
 
4.1%
16 4
 
3.3%
20 4
 
3.3%
5 4
 
3.3%
4 4
 
3.3%
29 3
 
2.5%
Other values (49) 76
62.3%
ValueCountFrequency (%)
0 2
 
1.6%
1 1
 
0.8%
3 3
2.5%
4 4
3.3%
5 4
3.3%
6 2
 
1.6%
7 3
2.5%
8 2
 
1.6%
9 6
4.9%
10 5
4.1%
ValueCountFrequency (%)
417 1
0.8%
339 1
0.8%
258 1
0.8%
241 1
0.8%
221 1
0.8%
208 1
0.8%
197 1
0.8%
152 1
0.8%
130 1
0.8%
118 1
0.8%

도로_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355004.17
Minimum28531
Maximum2402756.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:13.976309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28531
5-th percentile53772.345
Q1122100.25
median185009.5
Q3285568.75
95-th percentile1657621.8
Maximum2402756.3
Range2374225.3
Interquartile range (IQR)163468.5

Descriptive statistics

Standard deviation518441.31
Coefficient of variation (CV)1.4603809
Kurtosis7.2029229
Mean355004.17
Median Absolute Deviation (MAD)72533.5
Skewness2.8235357
Sum43310509
Variance2.687814 × 1011
MonotonicityNot monotonic
2023-12-16T15:57:15.188865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2402756.3 1
 
0.8%
171567.0 1
 
0.8%
128748.0 1
 
0.8%
269711.3 1
 
0.8%
154619.0 1
 
0.8%
208669.4 1
 
0.8%
290565.4 1
 
0.8%
233433.1 1
 
0.8%
237482.3 1
 
0.8%
2050399.7 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
28531.0 1
0.8%
41833.8 1
0.8%
41883.0 1
0.8%
46586.0 1
0.8%
50449.0 1
0.8%
53017.0 1
0.8%
53707.1 1
0.8%
55012.0 1
0.8%
58665.0 1
0.8%
71588.0 1
0.8%
ValueCountFrequency (%)
2402756.3 1
0.8%
2372723.4 1
0.8%
2294826.1 1
0.8%
2290998.0 1
0.8%
2050399.7 1
0.8%
1817618.0 1
0.8%
1660023.3 1
0.8%
1611993.0 1
0.8%
1574506.2 1
0.8%
1541196.1 1
0.8%

도로_지번수
Real number (ℝ)

Distinct116
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean888.2623
Minimum91
Maximum6536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:16.050371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile158.1
Q1331.75
median468.5
Q3671.75
95-th percentile4037.65
Maximum6536
Range6445
Interquartile range (IQR)340

Descriptive statistics

Standard deviation1282.3831
Coefficient of variation (CV)1.4436986
Kurtosis8.2812523
Mean888.2623
Median Absolute Deviation (MAD)176.5
Skewness2.985304
Sum108368
Variance1644506.3
MonotonicityNot monotonic
2023-12-16T15:57:16.914301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
398 2
 
1.6%
465 2
 
1.6%
418 2
 
1.6%
362 2
 
1.6%
461 2
 
1.6%
638 2
 
1.6%
325 1
 
0.8%
425 1
 
0.8%
490 1
 
0.8%
667 1
 
0.8%
Other values (106) 106
86.9%
ValueCountFrequency (%)
91 1
0.8%
106 1
0.8%
118 1
0.8%
130 1
0.8%
151 1
0.8%
153 1
0.8%
158 1
0.8%
160 1
0.8%
163 1
0.8%
196 1
0.8%
ValueCountFrequency (%)
6536 1
0.8%
6217 1
0.8%
5508 1
0.8%
5499 1
0.8%
4915 1
0.8%
4762 1
0.8%
4043 1
0.8%
3936 1
0.8%
3579 1
0.8%
3365 1
0.8%

철도용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35734.218
Minimum0
Maximum531984.4
Zeros84
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:17.745974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q329333.75
95-th percentile145133.85
Maximum531984.4
Range531984.4
Interquartile range (IQR)29333.75

Descriptive statistics

Standard deviation90763.214
Coefficient of variation (CV)2.5399524
Kurtosis16.79539
Mean35734.218
Median Absolute Deviation (MAD)0
Skewness3.8963376
Sum4359574.6
Variance8.2379609 × 109
MonotonicityNot monotonic
2023-12-16T15:57:18.805690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 84
68.9%
531984.4 1
 
0.8%
6546.0 1
 
0.8%
59868.0 1
 
0.8%
53910.0 1
 
0.8%
117712.0 1
 
0.8%
99787.0 1
 
0.8%
458838.0 1
 
0.8%
114058.6 1
 
0.8%
44138.0 1
 
0.8%
Other values (29) 29
 
23.8%
ValueCountFrequency (%)
0.0 84
68.9%
1337.0 1
 
0.8%
1408.0 1
 
0.8%
3769.0 1
 
0.8%
6546.0 1
 
0.8%
7505.0 1
 
0.8%
12754.0 1
 
0.8%
18917.0 1
 
0.8%
32806.0 1
 
0.8%
32911.0 1
 
0.8%
ValueCountFrequency (%)
531984.4 1
0.8%
513257.2 1
0.8%
458838.0 1
0.8%
331277.0 1
0.8%
244417.0 1
0.8%
177409.0 1
0.8%
145505.0 1
0.8%
138082.0 1
0.8%
117712.0 1
0.8%
117420.4 1
0.8%

철도용지_지번수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.836066
Minimum0
Maximum736
Zeros84
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:19.379441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325.75
95-th percentile184.4
Maximum736
Range736
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation103.15842
Coefficient of variation (CV)2.656253
Kurtosis24.294085
Mean38.836066
Median Absolute Deviation (MAD)0
Skewness4.5046411
Sum4738
Variance10641.659
MonotonicityNot monotonic
2023-12-16T15:57:20.282170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 84
68.9%
111 2
 
1.6%
2 2
 
1.6%
1 2
 
1.6%
57 2
 
1.6%
68 2
 
1.6%
80 2
 
1.6%
26 2
 
1.6%
8 1
 
0.8%
253 1
 
0.8%
Other values (22) 22
 
18.0%
ValueCountFrequency (%)
0 84
68.9%
1 2
 
1.6%
2 2
 
1.6%
8 1
 
0.8%
19 1
 
0.8%
25 1
 
0.8%
26 2
 
1.6%
38 1
 
0.8%
55 1
 
0.8%
57 2
 
1.6%
ValueCountFrequency (%)
736 1
0.8%
605 1
0.8%
324 1
0.8%
316 1
0.8%
253 1
0.8%
252 1
0.8%
186 1
0.8%
154 1
0.8%
139 1
0.8%
136 1
0.8%

제방_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9427.9033
Minimum0
Maximum95300
Zeros67
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:21.536390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38874.5
95-th percentile64593.455
Maximum95300
Range95300
Interquartile range (IQR)8874.5

Descriptive statistics

Standard deviation20585.745
Coefficient of variation (CV)2.1834914
Kurtosis7.2799529
Mean9427.9033
Median Absolute Deviation (MAD)0
Skewness2.7994747
Sum1150204.2
Variance4.2377291 × 108
MonotonicityNot monotonic
2023-12-16T15:57:22.528988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 67
54.9%
9551.0 2
 
1.6%
843.0 2
 
1.6%
8300.0 2
 
1.6%
95300.0 1
 
0.8%
16220.5 1
 
0.8%
6845.0 1
 
0.8%
86545.9 1
 
0.8%
33917.2 1
 
0.8%
13449.4 1
 
0.8%
Other values (43) 43
35.2%
ValueCountFrequency (%)
0.0 67
54.9%
162.0 1
 
0.8%
215.0 1
 
0.8%
238.0 1
 
0.8%
287.4 1
 
0.8%
364.0 1
 
0.8%
436.0 1
 
0.8%
602.0 1
 
0.8%
631.0 1
 
0.8%
800.0 1
 
0.8%
ValueCountFrequency (%)
95300.0 1
0.8%
91317.8 1
0.8%
86545.9 1
0.8%
80060.0 1
0.8%
75789.4 1
0.8%
67489.0 1
0.8%
64936.0 1
0.8%
58085.1 1
0.8%
54094.0 1
0.8%
52283.0 1
0.8%

제방_지번수
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.672131
Minimum0
Maximum253
Zeros67
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:23.524845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile60.95
Maximum253
Range253
Interquartile range (IQR)9

Descriptive statistics

Standard deviation37.933052
Coefficient of variation (CV)2.4204144
Kurtosis18.18091
Mean15.672131
Median Absolute Deviation (MAD)0
Skewness3.9430887
Sum1912
Variance1438.9164
MonotonicityNot monotonic
2023-12-16T15:57:24.475255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 67
54.9%
1 7
 
5.7%
2 4
 
3.3%
9 4
 
3.3%
8 3
 
2.5%
6 3
 
2.5%
7 2
 
1.6%
36 2
 
1.6%
3 2
 
1.6%
48 2
 
1.6%
Other values (26) 26
 
21.3%
ValueCountFrequency (%)
0 67
54.9%
1 7
 
5.7%
2 4
 
3.3%
3 2
 
1.6%
5 1
 
0.8%
6 3
 
2.5%
7 2
 
1.6%
8 3
 
2.5%
9 4
 
3.3%
11 1
 
0.8%
ValueCountFrequency (%)
253 1
0.8%
191 1
0.8%
180 1
0.8%
114 1
0.8%
105 1
0.8%
94 1
0.8%
61 1
0.8%
60 1
0.8%
56 1
0.8%
55 1
0.8%

하천_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean585603.14
Minimum0
Maximum6953905.4
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:25.586326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8154.65
Q195765.75
median251452.6
Q3559856.4
95-th percentile2788416.1
Maximum6953905.4
Range6953905.4
Interquartile range (IQR)464090.65

Descriptive statistics

Standard deviation964261.75
Coefficient of variation (CV)1.646613
Kurtosis16.379956
Mean585603.14
Median Absolute Deviation (MAD)173548.1
Skewness3.5083502
Sum71443583
Variance9.2980072 × 1011
MonotonicityNot monotonic
2023-12-16T15:57:26.862609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2790336.3 1
 
0.8%
64964.0 1
 
0.8%
161145.0 1
 
0.8%
480008.7 1
 
0.8%
79286.8 1
 
0.8%
75403.6 1
 
0.8%
150482.7 1
 
0.8%
261752.0 1
 
0.8%
53925.0 1
 
0.8%
1498990.8 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
0.0 1
0.8%
1263.0 1
0.8%
2415.0 1
0.8%
3048.0 1
0.8%
3950.0 1
0.8%
5803.0 1
0.8%
7631.0 1
0.8%
18104.0 1
0.8%
21190.0 1
0.8%
21517.0 1
0.8%
ValueCountFrequency (%)
6953905.4 1
0.8%
3505982.6 1
0.8%
3257284.1 1
0.8%
2862784.6 1
0.8%
2849428.1 1
0.8%
2829381.0 1
0.8%
2790336.3 1
0.8%
2751932.4 1
0.8%
2595077.0 1
0.8%
2384747.0 1
0.8%

하천_지번수
Real number (ℝ)

Distinct100
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.37705
Minimum0
Maximum2814
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:27.619553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q139.25
median77.5
Q3166.75
95-th percentile771.15
Maximum2814
Range2814
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation334.05152
Coefficient of variation (CV)1.7733133
Kurtosis32.099143
Mean188.37705
Median Absolute Deviation (MAD)53.5
Skewness4.8392461
Sum22982
Variance111590.42
MonotonicityNot monotonic
2023-12-16T15:57:28.503708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3
 
2.5%
69 3
 
2.5%
64 3
 
2.5%
17 2
 
1.6%
53 2
 
1.6%
68 2
 
1.6%
27 2
 
1.6%
122 2
 
1.6%
65 2
 
1.6%
74 2
 
1.6%
Other values (90) 99
81.1%
ValueCountFrequency (%)
0 1
 
0.8%
2 1
 
0.8%
3 1
 
0.8%
6 3
2.5%
8 2
1.6%
10 2
1.6%
14 1
 
0.8%
15 2
1.6%
16 1
 
0.8%
17 2
1.6%
ValueCountFrequency (%)
2814 1
0.8%
1282 1
0.8%
948 1
0.8%
935 1
0.8%
858 1
0.8%
805 1
0.8%
773 1
0.8%
736 1
0.8%
723 1
0.8%
701 1
0.8%

구거_면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205938
Minimum12436
Maximum1852729.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:30.397831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12436
5-th percentile33915.4
Q167760.775
median102573.9
Q3176543.45
95-th percentile856069.87
Maximum1852729.4
Range1840293.4
Interquartile range (IQR)108782.68

Descriptive statistics

Standard deviation319724.76
Coefficient of variation (CV)1.5525292
Kurtosis12.861997
Mean205938
Median Absolute Deviation (MAD)47979.25
Skewness3.4790231
Sum25124437
Variance1.0222392 × 1011
MonotonicityNot monotonic
2023-12-16T15:57:31.570117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
928111.6 1
 
0.8%
190810.6 1
 
0.8%
142696.0 1
 
0.8%
393814.5 1
 
0.8%
160585.7 1
 
0.8%
124061.0 1
 
0.8%
207219.6 1
 
0.8%
130228.0 1
 
0.8%
153434.4 1
 
0.8%
1852729.4 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
12436.0 1
0.8%
14691.3 1
0.8%
20573.0 1
0.8%
20908.3 1
0.8%
22361.0 1
0.8%
32712.0 1
0.8%
33763.0 1
0.8%
36811.0 1
0.8%
39692.0 1
0.8%
40550.6 1
0.8%
ValueCountFrequency (%)
1852729.4 1
0.8%
1760467.6 1
0.8%
1591785.0 1
0.8%
1191904.0 1
0.8%
1062395.8 1
0.8%
928111.6 1
0.8%
856977.5 1
0.8%
838824.9 1
0.8%
773656.0 1
0.8%
634751.0 1
0.8%

구거_지번수
Real number (ℝ)

Distinct93
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.60656
Minimum3
Maximum1770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:32.211723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile20.1
Q146
median74
Q3133.25
95-th percentile660.75
Maximum1770
Range1767
Interquartile range (IQR)87.25

Descriptive statistics

Standard deviation245.15816
Coefficient of variation (CV)1.6386859
Kurtosis19.435205
Mean149.60656
Median Absolute Deviation (MAD)34.5
Skewness4.0555997
Sum18252
Variance60102.522
MonotonicityNot monotonic
2023-12-16T15:57:33.014984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 3
 
2.5%
68 3
 
2.5%
43 3
 
2.5%
79 3
 
2.5%
49 3
 
2.5%
56 3
 
2.5%
149 2
 
1.6%
46 2
 
1.6%
97 2
 
1.6%
64 2
 
1.6%
Other values (83) 96
78.7%
ValueCountFrequency (%)
3 1
0.8%
12 1
0.8%
16 1
0.8%
17 1
0.8%
18 1
0.8%
19 1
0.8%
20 1
0.8%
22 1
0.8%
24 1
0.8%
25 1
0.8%
ValueCountFrequency (%)
1770 1
0.8%
1178 1
0.8%
1071 1
0.8%
830 1
0.8%
777 1
0.8%
723 1
0.8%
663 1
0.8%
618 1
0.8%
532 1
0.8%
374 1
0.8%

유지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15166.144
Minimum0
Maximum295907
Zeros37
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:33.902891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1357.25
Q310017.6
95-th percentile63619.45
Maximum295907
Range295907
Interquartile range (IQR)10017.6

Descriptive statistics

Standard deviation38359.698
Coefficient of variation (CV)2.529298
Kurtosis26.447705
Mean15166.144
Median Absolute Deviation (MAD)1357.25
Skewness4.6081197
Sum1850269.6
Variance1.4714664 × 109
MonotonicityNot monotonic
2023-12-16T15:57:34.835437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 37
30.3%
75864.1 1
 
0.8%
208.0 1
 
0.8%
27843.0 1
 
0.8%
61272.0 1
 
0.8%
1085.0 1
 
0.8%
295907.0 1
 
0.8%
2523.0 1
 
0.8%
4016.0 1
 
0.8%
2747.0 1
 
0.8%
Other values (76) 76
62.3%
ValueCountFrequency (%)
0.0 37
30.3%
36.0 1
 
0.8%
81.4 1
 
0.8%
123.0 1
 
0.8%
126.0 1
 
0.8%
140.0 1
 
0.8%
208.0 1
 
0.8%
238.0 1
 
0.8%
258.0 1
 
0.8%
274.0 1
 
0.8%
ValueCountFrequency (%)
295907.0 1
0.8%
166444.0 1
0.8%
146720.0 1
0.8%
126362.0 1
0.8%
123085.0 1
0.8%
75864.1 1
0.8%
63743.0 1
0.8%
61272.0 1
0.8%
54971.0 1
0.8%
54373.0 1
0.8%

유지_지번수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0655738
Minimum0
Maximum132
Zeros37
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:35.765795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38.75
95-th percentile30
Maximum132
Range132
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation16.805026
Coefficient of variation (CV)2.0835499
Kurtosis28.808969
Mean8.0655738
Median Absolute Deviation (MAD)2
Skewness4.7082971
Sum984
Variance282.40889
MonotonicityNot monotonic
2023-12-16T15:57:36.522725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 37
30.3%
2 19
15.6%
1 17
13.9%
4 6
 
4.9%
5 4
 
3.3%
3 4
 
3.3%
20 3
 
2.5%
26 2
 
1.6%
9 2
 
1.6%
15 2
 
1.6%
Other values (19) 26
21.3%
ValueCountFrequency (%)
0 37
30.3%
1 17
13.9%
2 19
15.6%
3 4
 
3.3%
4 6
 
4.9%
5 4
 
3.3%
7 2
 
1.6%
8 2
 
1.6%
9 2
 
1.6%
10 1
 
0.8%
ValueCountFrequency (%)
132 1
0.8%
93 1
0.8%
42 2
1.6%
35 1
0.8%
32 1
0.8%
30 2
1.6%
29 1
0.8%
26 2
1.6%
23 1
0.8%
22 1
0.8%

양어장_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean737.27869
Minimum0
Maximum11066
Zeros99
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:37.700760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5562.6
Maximum11066
Range11066
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2026.4875
Coefficient of variation (CV)2.7486045
Kurtosis10.948733
Mean737.27869
Median Absolute Deviation (MAD)0
Skewness3.2759844
Sum89948
Variance4106651.7
MonotonicityNot monotonic
2023-12-16T15:57:38.252876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 99
81.1%
527 2
 
1.6%
985 2
 
1.6%
3496 2
 
1.6%
3744 2
 
1.6%
1497 1
 
0.8%
2793 1
 
0.8%
655 1
 
0.8%
3292 1
 
0.8%
6740 1
 
0.8%
Other values (10) 10
 
8.2%
ValueCountFrequency (%)
0 99
81.1%
527 2
 
1.6%
655 1
 
0.8%
985 2
 
1.6%
990 1
 
0.8%
1238 1
 
0.8%
1497 1
 
0.8%
2793 1
 
0.8%
2834 1
 
0.8%
3292 1
 
0.8%
ValueCountFrequency (%)
11066 1
0.8%
9926 1
0.8%
8490 1
0.8%
7341 1
0.8%
6740 1
0.8%
6138 1
0.8%
5656 1
0.8%
3788 1
0.8%
3744 2
1.6%
3496 2
1.6%

양어장_지번수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73770492
Minimum0
Maximum13
Zeros99
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:38.733459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0841919
Coefficient of variation (CV)2.8252379
Kurtosis13.595961
Mean0.73770492
Median Absolute Deviation (MAD)0
Skewness3.5580237
Sum90
Variance4.3438558
MonotonicityNot monotonic
2023-12-16T15:57:39.631149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 99
81.1%
2 7
 
5.7%
1 6
 
4.9%
8 4
 
3.3%
6 3
 
2.5%
4 1
 
0.8%
13 1
 
0.8%
3 1
 
0.8%
ValueCountFrequency (%)
0 99
81.1%
1 6
 
4.9%
2 7
 
5.7%
3 1
 
0.8%
4 1
 
0.8%
6 3
 
2.5%
8 4
 
3.3%
13 1
 
0.8%
ValueCountFrequency (%)
13 1
 
0.8%
8 4
 
3.3%
6 3
 
2.5%
4 1
 
0.8%
3 1
 
0.8%
2 7
 
5.7%
1 6
 
4.9%
0 99
81.1%

수도용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1488.7541
Minimum0
Maximum54109
Zeros101
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:40.225545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5583
Maximum54109
Range54109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6473.3182
Coefficient of variation (CV)4.3481447
Kurtosis48.623312
Mean1488.7541
Median Absolute Deviation (MAD)0
Skewness6.709685
Sum181628
Variance41903849
MonotonicityNot monotonic
2023-12-16T15:57:40.706212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 101
82.8%
5583 2
 
1.6%
4432 2
 
1.6%
873 2
 
1.6%
647 1
 
0.8%
3326 1
 
0.8%
3973 1
 
0.8%
1408 1
 
0.8%
7006 1
 
0.8%
8414 1
 
0.8%
Other values (9) 9
 
7.4%
ValueCountFrequency (%)
0 101
82.8%
647 1
 
0.8%
873 2
 
1.6%
1031 1
 
0.8%
1408 1
 
0.8%
1420 1
 
0.8%
2010 1
 
0.8%
3078 1
 
0.8%
3326 1
 
0.8%
3973 1
 
0.8%
ValueCountFrequency (%)
54109 1
0.8%
42200 1
0.8%
13430 1
0.8%
12399 1
0.8%
8414 1
0.8%
7006 1
0.8%
5583 2
1.6%
5401 1
0.8%
4432 2
1.6%
3973 1
0.8%

수도용지_지번수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39344262
Minimum0
Maximum10
Zeros101
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:41.271329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2301809
Coefficient of variation (CV)3.1267098
Kurtosis32.676682
Mean0.39344262
Median Absolute Deviation (MAD)0
Skewness5.0838429
Sum48
Variance1.5133451
MonotonicityNot monotonic
2023-12-16T15:57:42.124793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 101
82.8%
1 11
 
9.0%
2 4
 
3.3%
4 2
 
1.6%
3 2
 
1.6%
10 1
 
0.8%
5 1
 
0.8%
ValueCountFrequency (%)
0 101
82.8%
1 11
 
9.0%
2 4
 
3.3%
3 2
 
1.6%
4 2
 
1.6%
5 1
 
0.8%
10 1
 
0.8%
ValueCountFrequency (%)
10 1
 
0.8%
5 1
 
0.8%
4 2
 
1.6%
3 2
 
1.6%
2 4
 
3.3%
1 11
 
9.0%
0 101
82.8%

공원_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean687.39016
Minimum0
Maximum19989.4
Zeros112
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:42.575932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4092.905
Maximum19989.4
Range19989.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2939.9866
Coefficient of variation (CV)4.2770274
Kurtosis26.441141
Mean687.39016
Median Absolute Deviation (MAD)0
Skewness5.0737434
Sum83861.6
Variance8643521.1
MonotonicityNot monotonic
2023-12-16T15:57:43.335039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 112
91.8%
2231.0 2
 
1.6%
4097.1 2
 
1.6%
15613.3 2
 
1.6%
19989.4 1
 
0.8%
4013.2 1
 
0.8%
4171.5 1
 
0.8%
11804.7 1
 
0.8%
ValueCountFrequency (%)
0.0 112
91.8%
2231.0 2
 
1.6%
4013.2 1
 
0.8%
4097.1 2
 
1.6%
4171.5 1
 
0.8%
11804.7 1
 
0.8%
15613.3 2
 
1.6%
19989.4 1
 
0.8%
ValueCountFrequency (%)
19989.4 1
 
0.8%
15613.3 2
 
1.6%
11804.7 1
 
0.8%
4171.5 1
 
0.8%
4097.1 2
 
1.6%
4013.2 1
 
0.8%
2231.0 2
 
1.6%
0.0 112
91.8%

공원_지번수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49180328
Minimum0
Maximum16
Zeros112
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:43.834503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9927385
Coefficient of variation (CV)4.0519016
Kurtosis33.419011
Mean0.49180328
Median Absolute Deviation (MAD)0
Skewness5.315966
Sum60
Variance3.9710066
MonotonicityNot monotonic
2023-12-16T15:57:44.584085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 112
91.8%
5 2
 
1.6%
4 2
 
1.6%
2 2
 
1.6%
8 2
 
1.6%
16 1
 
0.8%
6 1
 
0.8%
ValueCountFrequency (%)
0 112
91.8%
2 2
 
1.6%
4 2
 
1.6%
5 2
 
1.6%
6 1
 
0.8%
8 2
 
1.6%
16 1
 
0.8%
ValueCountFrequency (%)
16 1
 
0.8%
8 2
 
1.6%
6 1
 
0.8%
5 2
 
1.6%
4 2
 
1.6%
2 2
 
1.6%
0 112
91.8%

체육용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34323.182
Minimum0
Maximum1096123
Zeros67
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:45.376131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34015.25
95-th percentile47429.8
Maximum1096123
Range1096123
Interquartile range (IQR)4015.25

Descriptive statistics

Standard deviation161041.79
Coefficient of variation (CV)4.6919249
Kurtosis31.351295
Mean34323.182
Median Absolute Deviation (MAD)0
Skewness5.5698216
Sum4187428.2
Variance2.5934459 × 1010
MonotonicityNot monotonic
2023-12-16T15:57:46.244876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 67
54.9%
187117.1 1
 
0.8%
2354.0 1
 
0.8%
12102.0 1
 
0.8%
11442.0 1
 
0.8%
660.0 1
 
0.8%
689360.7 1
 
0.8%
14049.0 1
 
0.8%
663181.7 1
 
0.8%
12130.0 1
 
0.8%
Other values (46) 46
37.7%
ValueCountFrequency (%)
0.0 67
54.9%
408.3 1
 
0.8%
469.0 1
 
0.8%
500.0 1
 
0.8%
559.0 1
 
0.8%
660.0 1
 
0.8%
719.0 1
 
0.8%
802.0 1
 
0.8%
834.0 1
 
0.8%
835.0 1
 
0.8%
ValueCountFrequency (%)
1096123.0 1
0.8%
1047498.0 1
0.8%
689360.7 1
0.8%
663181.7 1
0.8%
187117.1 1
0.8%
162815.1 1
0.8%
48125.0 1
0.8%
34221.0 1
0.8%
24098.0 1
0.8%
19756.0 1
0.8%

체육용지_지번수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9180328
Minimum0
Maximum56
Zeros67
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:47.037892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile17.95
Maximum56
Range56
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.2214179
Coefficient of variation (CV)2.3535836
Kurtosis17.157851
Mean3.9180328
Median Absolute Deviation (MAD)0
Skewness3.9283856
Sum478
Variance85.034548
MonotonicityNot monotonic
2023-12-16T15:57:47.795264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 67
54.9%
2 10
 
8.2%
1 9
 
7.4%
4 8
 
6.6%
6 4
 
3.3%
3 3
 
2.5%
5 3
 
2.5%
10 3
 
2.5%
18 2
 
1.6%
7 2
 
1.6%
Other values (10) 11
 
9.0%
ValueCountFrequency (%)
0 67
54.9%
1 9
 
7.4%
2 10
 
8.2%
3 3
 
2.5%
4 8
 
6.6%
5 3
 
2.5%
6 4
 
3.3%
7 2
 
1.6%
8 1
 
0.8%
10 3
 
2.5%
ValueCountFrequency (%)
56 1
0.8%
54 1
0.8%
40 1
0.8%
36 1
0.8%
27 1
0.8%
18 2
1.6%
17 1
0.8%
15 1
0.8%
14 1
0.8%
11 2
1.6%

유원지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7733.2
Minimum0
Maximum167394.5
Zeros59
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:48.541858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median588.5
Q34930
95-th percentile35162.05
Maximum167394.5
Range167394.5
Interquartile range (IQR)4930

Descriptive statistics

Standard deviation22232.994
Coefficient of variation (CV)2.8750057
Kurtosis32.232595
Mean7733.2
Median Absolute Deviation (MAD)588.5
Skewness5.3179923
Sum943450.4
Variance4.9430602 × 108
MonotonicityNot monotonic
2023-12-16T15:57:49.749866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 59
48.4%
32902.0 1
 
0.8%
140995.0 1
 
0.8%
6221.0 1
 
0.8%
2273.0 1
 
0.8%
657.0 1
 
0.8%
1649.0 1
 
0.8%
7103.0 1
 
0.8%
20789.0 1
 
0.8%
4092.0 1
 
0.8%
Other values (54) 54
44.3%
ValueCountFrequency (%)
0.0 59
48.4%
276.0 1
 
0.8%
520.0 1
 
0.8%
657.0 1
 
0.8%
791.0 1
 
0.8%
1144.0 1
 
0.8%
1150.0 1
 
0.8%
1276.0 1
 
0.8%
1646.0 1
 
0.8%
1649.0 1
 
0.8%
ValueCountFrequency (%)
167394.5 1
0.8%
140995.0 1
0.8%
68080.0 1
0.8%
62578.0 1
0.8%
46516.4 1
0.8%
46199.0 1
0.8%
35281.0 1
0.8%
32902.0 1
0.8%
24290.0 1
0.8%
23076.8 1
0.8%

유원지_지번수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2295082
Minimum0
Maximum38
Zeros59
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:50.390786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile23
Maximum38
Range38
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.5796453
Coefficient of variation (CV)1.7920867
Kurtosis6.142778
Mean4.2295082
Median Absolute Deviation (MAD)1
Skewness2.4964397
Sum516
Variance57.451023
MonotonicityNot monotonic
2023-12-16T15:57:51.193220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 59
48.4%
2 10
 
8.2%
1 10
 
8.2%
4 9
 
7.4%
5 7
 
5.7%
6 5
 
4.1%
10 3
 
2.5%
12 3
 
2.5%
23 2
 
1.6%
14 2
 
1.6%
Other values (10) 12
 
9.8%
ValueCountFrequency (%)
0 59
48.4%
1 10
 
8.2%
2 10
 
8.2%
3 1
 
0.8%
4 9
 
7.4%
5 7
 
5.7%
6 5
 
4.1%
8 2
 
1.6%
9 1
 
0.8%
10 3
 
2.5%
ValueCountFrequency (%)
38 1
 
0.8%
33 1
 
0.8%
30 1
 
0.8%
27 1
 
0.8%
26 1
 
0.8%
25 1
 
0.8%
23 2
1.6%
19 2
1.6%
14 2
1.6%
12 3
2.5%

종교용지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12122.83
Minimum0
Maximum129022
Zeros17
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:52.023044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11310.25
median3945.5
Q310464.75
95-th percentile55145.1
Maximum129022
Range129022
Interquartile range (IQR)9154.5

Descriptive statistics

Standard deviation23196.577
Coefficient of variation (CV)1.9134623
Kurtosis13.446258
Mean12122.83
Median Absolute Deviation (MAD)3612
Skewness3.5299692
Sum1478985.2
Variance5.3808118 × 108
MonotonicityNot monotonic
2023-12-16T15:57:52.910311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
13.9%
56556.0 1
 
0.8%
9073.0 1
 
0.8%
28202.0 1
 
0.8%
1706.0 1
 
0.8%
3905.0 1
 
0.8%
1622.0 1
 
0.8%
59904.0 1
 
0.8%
22092.0 1
 
0.8%
545.0 1
 
0.8%
Other values (96) 96
78.7%
ValueCountFrequency (%)
0.0 17
13.9%
222.0 1
 
0.8%
360.0 1
 
0.8%
473.0 1
 
0.8%
544.0 1
 
0.8%
545.0 1
 
0.8%
639.0 1
 
0.8%
658.0 1
 
0.8%
680.0 1
 
0.8%
703.0 1
 
0.8%
ValueCountFrequency (%)
129022.0 1
0.8%
127968.0 1
0.8%
110283.0 1
0.8%
104078.0 1
0.8%
59904.0 1
0.8%
56556.0 1
0.8%
55174.0 1
0.8%
54596.0 1
0.8%
49421.0 1
0.8%
38270.0 1
0.8%

종교용지_지번수
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.344262
Minimum0
Maximum124
Zeros17
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:53.693940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310.75
95-th percentile44.9
Maximum124
Range124
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation19.284203
Coefficient of variation (CV)1.6999081
Kurtosis12.575472
Mean11.344262
Median Absolute Deviation (MAD)4
Skewness3.3059516
Sum1384
Variance371.8805
MonotonicityNot monotonic
2023-12-16T15:57:54.526159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 17
13.9%
2 15
12.3%
5 11
 
9.0%
6 9
 
7.4%
1 8
 
6.6%
3 8
 
6.6%
4 6
 
4.9%
8 6
 
4.9%
9 5
 
4.1%
7 5
 
4.1%
Other values (23) 32
26.2%
ValueCountFrequency (%)
0 17
13.9%
1 8
6.6%
2 15
12.3%
3 8
6.6%
4 6
 
4.9%
5 11
9.0%
6 9
7.4%
7 5
 
4.1%
8 6
 
4.9%
9 5
 
4.1%
ValueCountFrequency (%)
124 1
0.8%
80 1
0.8%
79 1
0.8%
76 1
0.8%
74 1
0.8%
62 1
0.8%
45 1
0.8%
43 1
0.8%
41 1
0.8%
40 2
1.6%

사적지_면적(제곱미터)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
118 
2597
 
2
276
 
2

Length

Max length4
Median length1
Mean length1.0819672
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 118
96.7%
2597 2
 
1.6%
276 2
 
1.6%

Length

2023-12-16T15:57:55.248829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:57:55.895417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 118
96.7%
2597 2
 
1.6%
276 2
 
1.6%

사적지_지번수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
118 
4
 
2
1
 
2

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 (%)
0 118
96.7%
4 2
 
1.6%
1 2
 
1.6%

Length

2023-12-16T15:57:56.541209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:57:57.046737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 118
96.7%
4 2
 
1.6%
1 2
 
1.6%

묘지_면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32707.967
Minimum0
Maximum419804
Zeros4
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:57.694381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile248.85
Q12459.75
median7219.5
Q328295.25
95-th percentile136757.3
Maximum419804
Range419804
Interquartile range (IQR)25835.5

Descriptive statistics

Standard deviation71935.193
Coefficient of variation (CV)2.1993172
Kurtosis15.657835
Mean32707.967
Median Absolute Deviation (MAD)6183
Skewness3.8711381
Sum3990372
Variance5.174672 × 109
MonotonicityNot monotonic
2023-12-16T15:57:58.258758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
3.3%
181945 1
 
0.8%
23519 1
 
0.8%
11939 1
 
0.8%
8087 1
 
0.8%
43912 1
 
0.8%
10052 1
 
0.8%
14776 1
 
0.8%
22558 1
 
0.8%
15649 1
 
0.8%
Other values (109) 109
89.3%
ValueCountFrequency (%)
0 4
3.3%
99 1
 
0.8%
155 1
 
0.8%
241 1
 
0.8%
398 1
 
0.8%
426 1
 
0.8%
470 1
 
0.8%
575 1
 
0.8%
747 1
 
0.8%
764 1
 
0.8%
ValueCountFrequency (%)
419804 1
0.8%
384536 1
0.8%
361755 1
0.8%
291171 1
0.8%
267417 1
0.8%
181945 1
0.8%
138304 1
0.8%
107370 1
0.8%
100250 1
0.8%
99112 1
0.8%

묘지_지번수
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.508197
Minimum0
Maximum172
Zeros4
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:57:59.007200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q315.75
95-th percentile69.25
Maximum172
Range172
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation25.443584
Coefficient of variation (CV)1.6406539
Kurtosis17.158635
Mean15.508197
Median Absolute Deviation (MAD)5
Skewness3.8135021
Sum1892
Variance647.37597
MonotonicityNot monotonic
2023-12-16T15:57:59.948861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 17
 
13.9%
2 10
 
8.2%
3 8
 
6.6%
10 7
 
5.7%
6 6
 
4.9%
7 6
 
4.9%
5 6
 
4.9%
12 5
 
4.1%
15 5
 
4.1%
9 5
 
4.1%
Other values (26) 47
38.5%
ValueCountFrequency (%)
0 4
 
3.3%
1 5
 
4.1%
2 10
8.2%
3 8
6.6%
4 17
13.9%
5 6
 
4.9%
6 6
 
4.9%
7 6
 
4.9%
8 2
 
1.6%
9 5
 
4.1%
ValueCountFrequency (%)
172 1
0.8%
143 1
0.8%
92 1
0.8%
91 1
0.8%
83 1
0.8%
70 2
1.6%
55 1
0.8%
52 1
0.8%
48 1
0.8%
37 1
0.8%
Distinct121
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161944.96
Minimum0
Maximum3308961
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:58:01.076837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1282.3
Q15731.25
median17497
Q368275.75
95-th percentile914194.34
Maximum3308961
Range3308961
Interquartile range (IQR)62544.5

Descriptive statistics

Standard deviation446609.28
Coefficient of variation (CV)2.7577844
Kurtosis24.120926
Mean161944.96
Median Absolute Deviation (MAD)15362.5
Skewness4.5324038
Sum19757285
Variance1.9945985 × 1011
MonotonicityNot monotonic
2023-12-16T15:58:01.934511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
954.0 2
 
1.6%
3308961.0 1
 
0.8%
37869.0 1
 
0.8%
5387.0 1
 
0.8%
47669.0 1
 
0.8%
2137.0 1
 
0.8%
67975.0 1
 
0.8%
405634.0 1
 
0.8%
1252507.7 1
 
0.8%
2067673.7 1
 
0.8%
Other values (111) 111
91.0%
ValueCountFrequency (%)
0.0 1
0.8%
44.0 1
0.8%
954.0 2
1.6%
1172.0 1
0.8%
1226.0 1
0.8%
1282.0 1
0.8%
1288.0 1
0.8%
1330.0 1
0.8%
1399.0 1
0.8%
1432.0 1
0.8%
ValueCountFrequency (%)
3308961.0 1
0.8%
2067673.7 1
0.8%
1717369.0 1
0.8%
1500435.2 1
0.8%
1365569.0 1
0.8%
1252507.7 1
0.8%
916101.0 1
0.8%
877967.9 1
0.8%
634624.2 1
0.8%
568439.0 1
0.8%

잡종지_지번수
Real number (ℝ)

Distinct70
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.52459
Minimum0
Maximum1090
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-16T15:58:02.789544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median23
Q360
95-th percentile388.8
Maximum1090
Range1090
Interquartile range (IQR)51

Descriptive statistics

Standard deviation158.35545
Coefficient of variation (CV)2.0967403
Kurtosis18.361066
Mean75.52459
Median Absolute Deviation (MAD)16
Skewness3.9958568
Sum9214
Variance25076.45
MonotonicityNot monotonic
2023-12-16T15:58:04.582046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 8
 
6.6%
4 5
 
4.1%
8 5
 
4.1%
3 4
 
3.3%
24 4
 
3.3%
15 4
 
3.3%
17 4
 
3.3%
35 3
 
2.5%
7 3
 
2.5%
21 3
 
2.5%
Other values (60) 79
64.8%
ValueCountFrequency (%)
0 1
 
0.8%
1 2
 
1.6%
2 2
 
1.6%
3 4
3.3%
4 5
4.1%
5 2
 
1.6%
6 2
 
1.6%
7 3
 
2.5%
8 5
4.1%
9 8
6.6%
ValueCountFrequency (%)
1090 1
0.8%
769 1
0.8%
656 1
0.8%
636 1
0.8%
419 1
0.8%
414 1
0.8%
391 1
0.8%
347 1
0.8%
320 1
0.8%
273 1
0.8%

Sample

행정구역명칭토지소재지계_면적(제곱미터)계_지번수전_면적(제곱미터)전_지번수답_면적(제곱미터)답_지번수과수원_면적(제곱미터)과수원_지번수목장용지_면적(제곱미터)목장용지_지번수임야_면적(제곱미터)임야_지번수광천지_면적(제곱미터)광천지_지번수염전_면적(제곱미터)염전_지번수대_면적(제곱미터)대_지번수공장용지_면적(제곱미터)공장용지_지번수학교용지_면적(제곱미터)학교용지_지번수주차장_면적(제곱미터)주차장_지번수주유소용지_면적(제곱미터)주유소용지_지번수창고용지_면적(제곱미터)창고용지_지번수도로_면적(제곱미터)도로_지번수철도용지_면적(제곱미터)철도용지_지번수제방_면적(제곱미터)제방_지번수하천_면적(제곱미터)하천_지번수구거_면적(제곱미터)구거_지번수유지_면적(제곱미터)유지_지번수양어장_면적(제곱미터)양어장_지번수수도용지_면적(제곱미터)수도용지_지번수공원_면적(제곱미터)공원_지번수체육용지_면적(제곱미터)체육용지_지번수유원지_면적(제곱미터)유원지_지번수종교용지_면적(제곱미터)종교용지_지번수사적지_면적(제곱미터)사적지_지번수묘지_면적(제곱미터)묘지_지번수잡종지_면적(제곱미터)잡종지_지번수
0경기도 양평군양평읍42226966.7391114815874.065976069477.7679357484.554317457.027315646289.0524600004089580.38659109778.0118138538.32238551.7551987220257605.04172402756.36536531984.473695300.02532790336.3858928111.6107175864.1265271541091019989.416187117.11832902.02356556.076001819451433308961.01090
1경기도 양평군양평읍 양근리2421529.04210234614.247892298.02160.000.00344079.03350000565128.016780.0079157.3133056.880023914.028254591.8758138082.013654094.0180468745.024253070.0561420.7100201024013.254020.043760.055120.0700642502326105.035
2경기도 양평군양평읍 오빈리3420461.04255447625.0787326266.057325282.04514936.0291193568.07520000443467.09823151.030.00917.031999425827.048196340.066073578.0960.00566275.016622361.032126.0100000.00937.030.0010474.060096061257726.053
3경기도 양평군양평읍 신애리5077317.01911222122.0298375814.02960.004181.072323894.01910000165676.03672373.050.000.00935310689.01874854.02600.000.0022068.01598729.04045509.0500000.000.000.000.000013104151717369.0391
4경기도 양평군양평읍 덕평리2460553.02064196195.0233793862.072411911.0130347.044407256.01390000120459.02802986.030.00125.010013203.018179661.036412754.0260.0018104.04075081.04327664.01400000.000.000.00222.010022843568439.0130
5경기도 양평군양평읍 공흥리2811579.33991358399.8584518001.47210.007472.011667387.84470000595710.910726814.0635865.046588.9236679518245.033310032.67700.000.0047422.37294911.11220.0000307844171.560.000.0013847.0210043179112636.081
6경기도 양평군양평읍 백안리5877361.14681434001.0648617163.07820.0058914.0443567548.09950000594212.1111710559.0210.006247.037319424324.063303169.07670.000.0079367.06172443.0720.005271000.0018465.0613627.089056.01200102471650173.061
7경기도 양평군양평읍 도곡리4226239.04160712635.0920783285.87890.0035611.0411304133.05960000366279.15845486.060.0013823.040035052.041219672.0601117420.41865482.0289658.025176790.6250940.0200540110.00162815.140.003835.07002221223165708.078
8경기도 양평군양평읍 대흥리4785263.02637416160.0434489701.04930.00113225.0313016181.03550000221529.046714327.0110.004561.050056474.066296160.06360.000.0021517.02275663.0620.0000000.000.0015515.0101426.02002839439985.039
9경기도 양평군양평읍 봉성리2034702.91996376628.8432341424.04020.0024224.033957785.03550000141144.030620120.0140.00503.02007283.016102143.13521408.020.003048.0844662.0490.0000000.000.000.006321.08005829102180.07
행정구역명칭토지소재지계_면적(제곱미터)계_지번수전_면적(제곱미터)전_지번수답_면적(제곱미터)답_지번수과수원_면적(제곱미터)과수원_지번수목장용지_면적(제곱미터)목장용지_지번수임야_면적(제곱미터)임야_지번수광천지_면적(제곱미터)광천지_지번수염전_면적(제곱미터)염전_지번수대_면적(제곱미터)대_지번수공장용지_면적(제곱미터)공장용지_지번수학교용지_면적(제곱미터)학교용지_지번수주차장_면적(제곱미터)주차장_지번수주유소용지_면적(제곱미터)주유소용지_지번수창고용지_면적(제곱미터)창고용지_지번수도로_면적(제곱미터)도로_지번수철도용지_면적(제곱미터)철도용지_지번수제방_면적(제곱미터)제방_지번수하천_면적(제곱미터)하천_지번수구거_면적(제곱미터)구거_지번수유지_면적(제곱미터)유지_지번수양어장_면적(제곱미터)양어장_지번수수도용지_면적(제곱미터)수도용지_지번수공원_면적(제곱미터)공원_지번수체육용지_면적(제곱미터)체육용지_지번수유원지_면적(제곱미터)유원지_지번수종교용지_면적(제곱미터)종교용지_지번수사적지_면적(제곱미터)사적지_지번수묘지_면적(제곱미터)묘지_지번수잡종지_면적(제곱미터)잡종지_지번수
112경기도 양평군개군면 석장리2866890.01834382362.0367777864.04830.0080432.042982623.01700000102381.0228753.017313.010.00004098.010100671.03300.000.00180926.077118270.0660.0000000.000.000.000.000025133126684.056
113경기도 양평군개군면 공세리3933244.02669318806.7364582419.35510.00115264.0332151550.06810000250826.05070.000.002231.710004271.010152548.73160.004100.02206175.03284810.6104383.0100000.007733.0100.0013381.08006771531973.035
114경기도 양평군개군면 불곡리2387972.01235195626.0205387612.02671954.0115962.0131166544.0221000090473.01860.000.000.00006573.0992227.02130.000.002415.0875523.0430.0000000.000.000.007584.0200302993315180.064
115경기도 양평군개군면 부리2696267.01793262603.0227557679.04110.0029947.0411374959.02500000158618.03310.0034410.053061.01004891.09112277.03280.00162.0340039.03769852.010111718.0932923000.001477.021847.020.0000764228671.031
116경기도 양평군개군면 자연리1489184.01116212995.0186490419.033514940.0514800.014514326.0132000055115.01300.000.000.0000977.0350449.01530.009791.0852163.06536811.047553.0100000.000.004454.0197032.013002168022679.03
117경기도 양평군개군면 내리3632598.01624336206.0348711037.06110.0044566.0402072966.01360000100046.01901800.020.000.000011818.01641883.01630.000.003950.010100408.0790.0000000.000.000.00680.020053738201865.019
118경기도 양평군개군면 향리1165227.0710145370.0142183556.01710.002068.02543981.089000048443.01070.000.000.00001162.0358665.01580.000.0021190.01412436.03146720.01500000.000.001276.04360.0200000.00
119경기도 양평군개군면 주읍리2419269.0984255953.0217323245.02770.003863.051635655.0133000090222.0164306.020.00729.02001456.0428531.01300.000.005803.01766038.0200.006552000.00834.020.00544.01005391744.01
120경기도 양평군개군면 계전리4086366.42262633046.8497965363.25382303.5351757.0421959298.03890000124699.0248819.030.004940.010018570.013130346.03620.000.000.00151373.91270.0000000.000.000.002065.050067761435009.020
121경기도 양평군개군면 상자포리2595906.61676348750.2374578183.54546807.0830844.041999976.91200000122513.4297782.010.00201.01009325.41575417.42060.001153.07321601.44547487.5780.0027931000.000.000.002882.62003799229196.324