Overview

Dataset statistics

Number of variables60
Number of observations184
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory96.8 KiB
Average record size in memory538.7 B

Variable types

Text1
Numeric52
Categorical7

Dataset

Description전라북도 정읍시의 리단위까지 작성된 지목별 면적현황(토지소재지, 총면적, 총지번수, 전면적, 전지번수, 답면적, 답지번수, 과수원면적, 과수원지번수, 목장용지면적, 목장용지지번수 등)자료 제공
URLhttps://www.data.go.kr/data/15017302/fileData.do

Alerts

광천면적 has constant value ""Constant
광천지번수 has constant value ""Constant
염전면적 has constant value ""Constant
염전지번수 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사적지면적 is highly imbalanced (86.8%)Imbalance
사전지지번수 is highly imbalanced (86.8%)Imbalance
토지소재지 has unique valuesUnique
총면적 has unique valuesUnique
전면적 has unique valuesUnique
답면적 has unique valuesUnique
임야면적 has unique valuesUnique
대면적 has unique valuesUnique
도로면적 has unique valuesUnique
구거면적 has unique valuesUnique
과수원면적 has 121 (65.8%) zerosZeros
과수원지번수 has 121 (65.8%) zerosZeros
목장용지면적 has 22 (12.0%) zerosZeros
목장용지지번수 has 22 (12.0%) zerosZeros
공장용지면적 has 80 (43.5%) zerosZeros
공장용지지번수 has 80 (43.5%) zerosZeros
학교용지면적 has 93 (50.5%) zerosZeros
학교용지면적수 has 93 (50.5%) zerosZeros
주차장면적 has 105 (57.1%) zerosZeros
주차장면적수 has 105 (57.1%) zerosZeros
주유소용지면적 has 128 (69.6%) zerosZeros
주요소용지지번수 has 128 (69.6%) zerosZeros
창고용지면적 has 12 (6.5%) zerosZeros
창고용지지번수 has 12 (6.5%) zerosZeros
철도용지면적 has 150 (81.5%) zerosZeros
철도용지지번수 has 150 (81.5%) zerosZeros
제방면적 has 41 (22.3%) zerosZeros
제방지번수 has 41 (22.3%) zerosZeros
하천면적 has 12 (6.5%) zerosZeros
하천지번수 has 12 (6.5%) zerosZeros
유지면적 has 29 (15.8%) zerosZeros
유지지번수 has 29 (15.8%) zerosZeros
양어장면적 has 140 (76.1%) zerosZeros
양어장지번수 has 140 (76.1%) zerosZeros
수도용지면적 has 136 (73.9%) zerosZeros
수도용지지번수 has 136 (73.9%) zerosZeros
공원면적 has 153 (83.2%) zerosZeros
공원지번수 has 153 (83.2%) zerosZeros
체육용지면적 has 144 (78.3%) zerosZeros
체육용지지번수 has 144 (78.3%) zerosZeros
유원지면적 has 166 (90.2%) zerosZeros
유원지지번수 has 166 (90.2%) zerosZeros
종교용지면적 has 72 (39.1%) zerosZeros
종교용지지번수 has 72 (39.1%) zerosZeros
묘지면적 has 13 (7.1%) zerosZeros
묘지지번수 has 13 (7.1%) zerosZeros

Reproduction

Analysis started2023-12-12 04:42:55.967466
Analysis finished2023-12-12 04:42:56.760564
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T13:42:57.175095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9945652
Min length2

Characters and Unicode

Total characters551
Distinct characters138
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)100.0%

Sample

1st row수성동
2nd row장명동
3rd row상동
4th row시기동
5th row연지동
ValueCountFrequency (%)
수성동 1
 
0.5%
태인면 1
 
0.5%
태남리 1
 
0.5%
대사리 1
 
0.5%
화천리 1
 
0.5%
회룡리 1
 
0.5%
장순리 1
 
0.5%
초강리 1
 
0.5%
대산리 1
 
0.5%
수금리 1
 
0.5%
Other values (174) 174
94.6%
2023-12-12T13:42:57.907993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 142
25.8%
동 30
 
5.4%
산 19
 
3.4%
면 15
 
2.7%
신 14
 
2.5%
태 9
 
1.6%
천 9
 
1.6%
장 8
 
1.5%
화 8
 
1.5%
성 8
 
1.5%
Other values (128) 289
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 142
25.8%
동 30
 
5.4%
산 19
 
3.4%
면 15
 
2.7%
신 14
 
2.5%
태 9
 
1.6%
천 9
 
1.6%
장 8
 
1.5%
화 8
 
1.5%
성 8
 
1.5%
Other values (128) 289
52.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 142
25.8%
동 30
 
5.4%
산 19
 
3.4%
면 15
 
2.7%
신 14
 
2.5%
태 9
 
1.6%
천 9
 
1.6%
장 8
 
1.5%
화 8
 
1.5%
성 8
 
1.5%
Other values (128) 289
52.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 142
25.8%
동 30
 
5.4%
산 19
 
3.4%
면 15
 
2.7%
신 14
 
2.5%
태 9
 
1.6%
천 9
 
1.6%
장 8
 
1.5%
화 8
 
1.5%
성 8
 
1.5%
Other values (128) 289
52.5%

총면적
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6839232.1
Minimum356009.9
Maximum65252797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:42:58.136382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum356009.9
5-th percentile1192922.1
Q12421270.2
median3536773.2
Q35408818.5
95-th percentile30252342
Maximum65252797
Range64896787
Interquartile range (IQR)2987548.3

Descriptive statistics

Standard deviation10290105
Coefficient of variation (CV)1.5045702
Kurtosis12.953795
Mean6839232.1
Median Absolute Deviation (MAD)1272830.9
Skewness3.4534438
Sum1.2584187 × 109
Variance1.0588626 × 1014
MonotonicityNot monotonic
2023-12-12T13:42:58.350410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2804947.1 1
 
0.5%
2834654.0 1
 
0.5%
1547899.8 1
 
0.5%
3227896.7 1
 
0.5%
3946734.0 1
 
0.5%
2517188.5 1
 
0.5%
2353157.6 1
 
0.5%
3110623.8 1
 
0.5%
4629125.7 1
 
0.5%
34219635.6 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
356009.9 1
0.5%
666532.4 1
0.5%
773064.1 1
0.5%
795630.0 1
0.5%
947353.0 1
0.5%
1024696.7 1
0.5%
1061884.0 1
0.5%
1168349.2 1
0.5%
1174847.1 1
0.5%
1191425.3 1
0.5%
ValueCountFrequency (%)
65252797.3 1
0.5%
62779711.3 1
0.5%
49631545.2 1
0.5%
41559793.0 1
0.5%
40043081.0 1
0.5%
39946021.2 1
0.5%
35733994.9 1
0.5%
35562233.3 1
0.5%
34219635.6 1
0.5%
30349347.1 1
0.5%

총지번수
Real number (ℝ)

Distinct180
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3968.663
Minimum485
Maximum30426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:42:58.533576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum485
5-th percentile1248.3
Q11760.5
median2291
Q33326.25
95-th percentile19536.05
Maximum30426
Range29941
Interquartile range (IQR)1565.75

Descriptive statistics

Standard deviation5528.5403
Coefficient of variation (CV)1.3930486
Kurtosis9.2797362
Mean3968.663
Median Absolute Deviation (MAD)645
Skewness3.1987543
Sum730234
Variance30564758
MonotonicityNot monotonic
2023-12-12T13:42:58.715614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2487 2
 
1.1%
2609 2
 
1.1%
1534 2
 
1.1%
2195 2
 
1.1%
1622 1
 
0.5%
2280 1
 
0.5%
1308 1
 
0.5%
2320 1
 
0.5%
3543 1
 
0.5%
23765 1
 
0.5%
Other values (170) 170
92.4%
ValueCountFrequency (%)
485 1
0.5%
771 1
0.5%
808 1
0.5%
862 1
0.5%
955 1
0.5%
994 1
0.5%
1000 1
0.5%
1148 1
0.5%
1219 1
0.5%
1248 1
0.5%
ValueCountFrequency (%)
30426 1
0.5%
27276 1
0.5%
25760 1
0.5%
24412 1
0.5%
23765 1
0.5%
23182 1
0.5%
23129 1
0.5%
22210 1
0.5%
21070 1
0.5%
19664 1
0.5%

전면적
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean742441.67
Minimum3632
Maximum6920128.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:42:59.276023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3632
5-th percentile101177.46
Q1246102
median390607
Q3646854.75
95-th percentile3597788.1
Maximum6920128.3
Range6916496.3
Interquartile range (IQR)400752.75

Descriptive statistics

Standard deviation1157585.9
Coefficient of variation (CV)1.5591607
Kurtosis11.633181
Mean742441.67
Median Absolute Deviation (MAD)178498.7
Skewness3.3963555
Sum1.3660927 × 108
Variance1.3400051 × 1012
MonotonicityNot monotonic
2023-12-12T13:42:59.483941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149296.0 1
 
0.5%
332356.6 1
 
0.5%
203795.0 1
 
0.5%
456770.0 1
 
0.5%
982307.0 1
 
0.5%
78666.0 1
 
0.5%
129370.0 1
 
0.5%
410537.0 1
 
0.5%
1299249.0 1
 
0.5%
3402685.2 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
3632.0 1
0.5%
13131.5 1
0.5%
49220.0 1
0.5%
64324.0 1
0.5%
75085.0 1
0.5%
78666.0 1
0.5%
79323.0 1
0.5%
81367.0 1
0.5%
82536.3 1
0.5%
99758.9 1
0.5%
ValueCountFrequency (%)
6920128.3 1
0.5%
6134338.0 1
0.5%
5741668.4 1
0.5%
5576962.3 1
0.5%
5129954.9 1
0.5%
4633299.0 1
0.5%
4399837.0 1
0.5%
4005997.0 1
0.5%
3941298.0 1
0.5%
3632218.0 1
0.5%

전지번수
Real number (ℝ)

Distinct171
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean780.55978
Minimum12
Maximum6915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:42:59.720435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile154.45
Q1316.5
median446
Q3620.75
95-th percentile3976.1
Maximum6915
Range6903
Interquartile range (IQR)304.25

Descriptive statistics

Standard deviation1166.0397
Coefficient of variation (CV)1.4938507
Kurtosis11.204893
Mean780.55978
Median Absolute Deviation (MAD)153.5
Skewness3.386371
Sum143623
Variance1359648.7
MonotonicityNot monotonic
2023-12-12T13:42:59.974614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
400 2
 
1.1%
814 2
 
1.1%
584 2
 
1.1%
321 2
 
1.1%
435 2
 
1.1%
480 2
 
1.1%
226 2
 
1.1%
318 2
 
1.1%
581 2
 
1.1%
336 2
 
1.1%
Other values (161) 164
89.1%
ValueCountFrequency (%)
12 1
0.5%
29 1
0.5%
69 1
0.5%
100 1
0.5%
111 1
0.5%
124 1
0.5%
146 1
0.5%
149 1
0.5%
153 1
0.5%
154 1
0.5%
ValueCountFrequency (%)
6915 1
0.5%
6255 1
0.5%
5445 1
0.5%
5419 1
0.5%
5244 1
0.5%
4593 1
0.5%
4591 1
0.5%
4444 1
0.5%
4117 1
0.5%
4046 1
0.5%

답면적
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1756928.1
Minimum1431.6
Maximum16336396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:00.213328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1431.6
5-th percentile194797.8
Q1543028.28
median975990.2
Q31535388.1
95-th percentile8102693.8
Maximum16336396
Range16334964
Interquartile range (IQR)992359.83

Descriptive statistics

Standard deviation2826644.5
Coefficient of variation (CV)1.6088561
Kurtosis12.369405
Mean1756928.1
Median Absolute Deviation (MAD)475224.3
Skewness3.5127724
Sum3.2327476 × 108
Variance7.9899193 × 1012
MonotonicityNot monotonic
2023-12-12T13:43:00.413791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49926.0 1
 
0.5%
855835.6 1
 
0.5%
726188.1 1
 
0.5%
1203640.3 1
 
0.5%
1012777.0 1
 
0.5%
1623863.1 1
 
0.5%
1496237.6 1
 
0.5%
1691739.4 1
 
0.5%
717846.1 1
 
0.5%
14218960.3 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
1431.6 1
0.5%
49926.0 1
0.5%
94436.0 1
0.5%
137092.0 1
0.5%
152887.0 1
0.5%
156853.0 1
0.5%
175306.6 1
0.5%
186437.0 1
0.5%
192824.0 1
0.5%
194511.5 1
0.5%
ValueCountFrequency (%)
16336395.7 1
0.5%
15660381.1 1
0.5%
14218960.3 1
0.5%
13310714.3 1
0.5%
12908696.0 1
0.5%
12341882.9 1
0.5%
11953478.4 1
0.5%
9280320.4 1
0.5%
9094858.6 1
0.5%
8162244.1 1
0.5%

답지번수
Real number (ℝ)

Distinct166
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean926.84239
Minimum4
Maximum7563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:00.627109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile205.7
Q1366.25
median515.5
Q3789.25
95-th percentile4628.8
Maximum7563
Range7559
Interquartile range (IQR)423

Descriptive statistics

Standard deviation1345.5497
Coefficient of variation (CV)1.4517567
Kurtosis9.8092694
Mean926.84239
Median Absolute Deviation (MAD)187.5
Skewness3.2363493
Sum170539
Variance1810503.9
MonotonicityNot monotonic
2023-12-12T13:43:00.864528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352 4
 
2.2%
355 2
 
1.1%
719 2
 
1.1%
309 2
 
1.1%
421 2
 
1.1%
190 2
 
1.1%
239 2
 
1.1%
715 2
 
1.1%
367 2
 
1.1%
203 2
 
1.1%
Other values (156) 162
88.0%
ValueCountFrequency (%)
4 1
0.5%
100 1
0.5%
104 1
0.5%
112 1
0.5%
133 1
0.5%
136 1
0.5%
190 2
1.1%
203 2
1.1%
221 1
0.5%
234 1
0.5%
ValueCountFrequency (%)
7563 1
0.5%
6443 1
0.5%
6424 1
0.5%
6231 1
0.5%
6190 1
0.5%
5640 1
0.5%
5385 1
0.5%
5133 1
0.5%
4706 1
0.5%
4636 1
0.5%

과수원면적
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5664.4935
Minimum0
Maximum170450.4
Zeros121
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:01.118237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33569.75
95-th percentile28070.75
Maximum170450.4
Range170450.4
Interquartile range (IQR)3569.75

Descriptive statistics

Standard deviation16802.41
Coefficient of variation (CV)2.9662687
Kurtosis52.840122
Mean5664.4935
Median Absolute Deviation (MAD)0
Skewness6.2782365
Sum1042266.8
Variance2.8232098 × 108
MonotonicityNot monotonic
2023-12-12T13:43:01.332913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 121
65.8%
10785.0 2
 
1.1%
1852.0 2
 
1.1%
23725.0 2
 
1.1%
5453.0 2
 
1.1%
11949.0 1
 
0.5%
5231.0 1
 
0.5%
4113.0 1
 
0.5%
2605.0 1
 
0.5%
10428.0 1
 
0.5%
Other values (50) 50
27.2%
ValueCountFrequency (%)
0.0 121
65.8%
24.0 1
 
0.5%
105.0 1
 
0.5%
164.0 1
 
0.5%
493.0 1
 
0.5%
907.0 1
 
0.5%
954.0 1
 
0.5%
1567.0 1
 
0.5%
1852.0 2
 
1.1%
1967.0 1
 
0.5%
ValueCountFrequency (%)
170450.4 1
0.5%
79279.0 1
0.5%
58393.0 1
0.5%
49429.4 1
0.5%
49090.0 1
0.5%
47201.0 1
0.5%
39666.0 1
0.5%
37125.0 1
0.5%
33017.0 1
0.5%
28097.0 1
0.5%

과수원지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0869565
Minimum0
Maximum51
Zeros121
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:01.520238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11.55
Maximum51
Range51
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.7841921
Coefficient of variation (CV)2.771592
Kurtosis32.922528
Mean2.0869565
Median Absolute Deviation (MAD)0
Skewness5.0803795
Sum384
Variance33.456878
MonotonicityNot monotonic
2023-12-12T13:43:01.717318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 121
65.8%
1 16
 
8.7%
2 13
 
7.1%
3 10
 
5.4%
8 4
 
2.2%
5 3
 
1.6%
7 2
 
1.1%
6 2
 
1.1%
17 2
 
1.1%
4 2
 
1.1%
Other values (7) 9
 
4.9%
ValueCountFrequency (%)
0 121
65.8%
1 16
 
8.7%
2 13
 
7.1%
3 10
 
5.4%
4 2
 
1.1%
5 3
 
1.6%
6 2
 
1.1%
7 2
 
1.1%
8 4
 
2.2%
9 1
 
0.5%
ValueCountFrequency (%)
51 1
 
0.5%
32 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
18 2
1.1%
17 2
1.1%
12 2
1.1%
9 1
 
0.5%
8 4
2.2%
7 2
1.1%

목장용지면적
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50584.936
Minimum0
Maximum943750
Zeros22
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:01.933122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16412.75
median17655
Q348107.75
95-th percentile269722.62
Maximum943750
Range943750
Interquartile range (IQR)41695

Descriptive statistics

Standard deviation102684
Coefficient of variation (CV)2.0299323
Kurtosis33.265282
Mean50584.936
Median Absolute Deviation (MAD)14981
Skewness4.8999308
Sum9307628.2
Variance1.0544003 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:02.155534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
12.0%
7396.0 1
 
0.5%
51640.0 1
 
0.5%
379060.3 1
 
0.5%
52520.0 1
 
0.5%
47205.0 1
 
0.5%
23181.2 1
 
0.5%
11287.0 1
 
0.5%
4302.0 1
 
0.5%
14781.9 1
 
0.5%
Other values (153) 153
83.2%
ValueCountFrequency (%)
0.0 22
12.0%
453.0 1
 
0.5%
868.6 1
 
0.5%
1462.0 1
 
0.5%
1563.0 1
 
0.5%
1597.0 1
 
0.5%
2124.0 1
 
0.5%
2327.0 1
 
0.5%
2474.0 1
 
0.5%
2546.0 1
 
0.5%
ValueCountFrequency (%)
943750.0 1
0.5%
454847.5 1
0.5%
379060.3 1
0.5%
367373.5 1
0.5%
351613.0 1
0.5%
326303.7 1
0.5%
294092.0 1
0.5%
291692.5 1
0.5%
271607.0 1
0.5%
270190.1 1
0.5%

목장용지지번수
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.005435
Minimum0
Maximum355
Zeros22
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:02.351971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q324.25
95-th percentile135.55
Maximum355
Range355
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation49.536154
Coefficient of variation (CV)1.9048385
Kurtosis17.469055
Mean26.005435
Median Absolute Deviation (MAD)8
Skewness3.8342913
Sum4785
Variance2453.8306
MonotonicityNot monotonic
2023-12-12T13:43:02.578011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
12.0%
5 12
 
6.5%
2 11
 
6.0%
6 11
 
6.0%
7 9
 
4.9%
11 7
 
3.8%
1 7
 
3.8%
13 6
 
3.3%
20 6
 
3.3%
4 6
 
3.3%
Other values (48) 87
47.3%
ValueCountFrequency (%)
0 22
12.0%
1 7
 
3.8%
2 11
6.0%
3 4
 
2.2%
4 6
 
3.3%
5 12
6.5%
6 11
6.0%
7 9
4.9%
8 6
 
3.3%
9 3
 
1.6%
ValueCountFrequency (%)
355 1
0.5%
303 1
0.5%
218 1
0.5%
187 1
0.5%
185 1
0.5%
166 1
0.5%
162 1
0.5%
152 1
0.5%
143 1
0.5%
136 1
0.5%

임야면적
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3041817.2
Minimum0
Maximum48845151
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:02.802436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48586.53
Q1334358.75
median961820
Q33169368.8
95-th percentile11537996
Maximum48845151
Range48845151
Interquartile range (IQR)2835010

Descriptive statistics

Standard deviation6396695.2
Coefficient of variation (CV)2.102919
Kurtosis29.629816
Mean3041817.2
Median Absolute Deviation (MAD)756101.5
Skewness4.9505814
Sum5.5969436 × 108
Variance4.091771 × 1013
MonotonicityNot monotonic
2023-12-12T13:43:03.004925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
854516.0 1
 
0.5%
551722.0 1
 
0.5%
204348.0 1
 
0.5%
998619.0 1
 
0.5%
1160027.0 1
 
0.5%
34418.0 1
 
0.5%
39557.0 1
 
0.5%
336679.0 1
 
0.5%
1265943.0 1
 
0.5%
6621861.0 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
0.0 1
0.5%
18900.0 1
0.5%
31835.0 1
0.5%
31845.0 1
0.5%
31878.0 1
0.5%
34418.0 1
0.5%
37859.6 1
0.5%
38258.0 1
0.5%
39557.0 1
0.5%
47025.3 1
0.5%
ValueCountFrequency (%)
48845151.0 1
0.5%
47745979.0 1
0.5%
34751538.0 1
0.5%
23126121.0 1
0.5%
17100464.0 1
0.5%
15089206.0 1
0.5%
13933012.0 1
0.5%
13107899.8 1
0.5%
12269324.0 1
0.5%
11692035.0 1
0.5%

임야지번수
Real number (ℝ)

Distinct166
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean421.58696
Minimum0
Maximum4169
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:03.182966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.15
Q1135.75
median220
Q3377.25
95-th percentile1992.75
Maximum4169
Range4169
Interquartile range (IQR)241.5

Descriptive statistics

Standard deviation655.3778
Coefficient of variation (CV)1.5545495
Kurtosis13.424953
Mean421.58696
Median Absolute Deviation (MAD)116.5
Skewness3.5182801
Sum77572
Variance429520.06
MonotonicityNot monotonic
2023-12-12T13:43:03.364437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 2
 
1.1%
136 2
 
1.1%
231 2
 
1.1%
181 2
 
1.1%
68 2
 
1.1%
175 2
 
1.1%
378 2
 
1.1%
119 2
 
1.1%
342 2
 
1.1%
292 2
 
1.1%
Other values (156) 164
89.1%
ValueCountFrequency (%)
0 1
0.5%
11 1
0.5%
19 1
0.5%
22 1
0.5%
23 1
0.5%
24 1
0.5%
26 1
0.5%
28 1
0.5%
31 1
0.5%
32 1
0.5%
ValueCountFrequency (%)
4169 1
0.5%
3730 1
0.5%
3624 1
0.5%
2595 1
0.5%
2573 1
0.5%
2461 1
0.5%
2431 1
0.5%
2374 1
0.5%
2056 1
0.5%
2001 1
0.5%

광천면적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
184 

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 (%)
0 184
100.0%

Length

2023-12-12T13:43:03.536139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:03.653043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 184
100.0%

광천지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
184 

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 (%)
0 184
100.0%

Length

2023-12-12T13:43:03.785343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:03.932569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 184
100.0%

염전면적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
184 

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 (%)
0 184
100.0%

Length

2023-12-12T13:43:04.097318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:04.236325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 184
100.0%

염전지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
184 

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 (%)
0 184
100.0%

Length

2023-12-12T13:43:04.385855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:04.498452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 184
100.0%

대면적
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185029.41
Minimum20452
Maximum1316154.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:04.656372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20452
5-th percentile45784.45
Q171612.25
median98649.5
Q3136050.23
95-th percentile851835.56
Maximum1316154.6
Range1295702.6
Interquartile range (IQR)64437.975

Descriptive statistics

Standard deviation251964.61
Coefficient of variation (CV)1.3617544
Kurtosis6.3966728
Mean185029.41
Median Absolute Deviation (MAD)31200
Skewness2.703477
Sum34045412
Variance6.3486167 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:04.871035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
945722.2 1
 
0.5%
118384.8 1
 
0.5%
83850.0 1
 
0.5%
87786.0 1
 
0.5%
89754.0 1
 
0.5%
134735.7 1
 
0.5%
50889.0 1
 
0.5%
96540.0 1
 
0.5%
194663.0 1
 
0.5%
1109841.9 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
20452.0 1
0.5%
36863.0 1
0.5%
38174.0 1
0.5%
40643.0 1
0.5%
42327.0 1
0.5%
42651.0 1
0.5%
43372.0 1
0.5%
43920.0 1
0.5%
44467.0 1
0.5%
45757.0 1
0.5%
ValueCountFrequency (%)
1316154.6 1
0.5%
1109841.9 1
0.5%
1081588.2 1
0.5%
1072709.2 1
0.5%
1034210.4 1
0.5%
1025076.9 1
0.5%
983854.7 1
0.5%
945722.2 1
0.5%
937054.2 1
0.5%
852926.5 1
0.5%

대지번수
Real number (ℝ)

Distinct152
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481.48913
Minimum56
Maximum4596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:05.089895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile106.45
Q1180.75
median248
Q3336.25
95-th percentile2337.15
Maximum4596
Range4540
Interquartile range (IQR)155.5

Descriptive statistics

Standard deviation716.40951
Coefficient of variation (CV)1.4879038
Kurtosis9.5951669
Mean481.48913
Median Absolute Deviation (MAD)75
Skewness3.0631298
Sum88594
Variance513242.58
MonotonicityNot monotonic
2023-12-12T13:43:05.629406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177 4
 
2.2%
219 4
 
2.2%
187 3
 
1.6%
183 3
 
1.6%
228 2
 
1.1%
190 2
 
1.1%
360 2
 
1.1%
213 2
 
1.1%
253 2
 
1.1%
312 2
 
1.1%
Other values (142) 158
85.9%
ValueCountFrequency (%)
56 1
0.5%
75 2
1.1%
86 2
1.1%
91 1
0.5%
100 1
0.5%
102 1
0.5%
103 1
0.5%
106 1
0.5%
109 1
0.5%
110 1
0.5%
ValueCountFrequency (%)
4596 1
0.5%
3242 1
0.5%
3167 1
0.5%
2959 1
0.5%
2831 1
0.5%
2579 1
0.5%
2557 1
0.5%
2463 1
0.5%
2456 1
0.5%
2364 1
0.5%

공장용지면적
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34194.835
Minimum0
Maximum1010050.5
Zeros80
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:05.869304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1301.5
Q311292.5
95-th percentile173462.68
Maximum1010050.5
Range1010050.5
Interquartile range (IQR)11292.5

Descriptive statistics

Standard deviation116142.38
Coefficient of variation (CV)3.3964889
Kurtosis39.573945
Mean34194.835
Median Absolute Deviation (MAD)1301.5
Skewness5.8575852
Sum6291849.6
Variance1.3489052 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:06.086901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 80
43.5%
1609.0 2
 
1.1%
6695.0 1
 
0.5%
5011.0 1
 
0.5%
174298.3 1
 
0.5%
200585.3 1
 
0.5%
37439.0 1
 
0.5%
29611.0 1
 
0.5%
9338.0 1
 
0.5%
1015.0 1
 
0.5%
Other values (94) 94
51.1%
ValueCountFrequency (%)
0.0 80
43.5%
615.0 1
 
0.5%
627.0 1
 
0.5%
660.0 1
 
0.5%
716.0 1
 
0.5%
868.0 1
 
0.5%
881.0 1
 
0.5%
987.0 1
 
0.5%
1015.0 1
 
0.5%
1079.0 1
 
0.5%
ValueCountFrequency (%)
1010050.5 1
0.5%
758023.0 1
0.5%
671430.2 1
0.5%
402059.0 1
0.5%
267835.3 1
0.5%
234954.4 1
0.5%
224775.5 1
0.5%
200585.3 1
0.5%
183736.0 1
0.5%
174298.3 1
0.5%

공장용지지번수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9347826
Minimum0
Maximum142
Zeros80
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:06.248482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile39
Maximum142
Range142
Interquartile range (IQR)5

Descriptive statistics

Standard deviation17.356629
Coefficient of variation (CV)2.5028367
Kurtosis26.54935
Mean6.9347826
Median Absolute Deviation (MAD)1
Skewness4.6558243
Sum1276
Variance301.25255
MonotonicityNot monotonic
2023-12-12T13:43:06.421122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 80
43.5%
1 21
 
11.4%
2 16
 
8.7%
3 10
 
5.4%
4 7
 
3.8%
5 6
 
3.3%
9 6
 
3.3%
6 4
 
2.2%
7 3
 
1.6%
13 2
 
1.1%
Other values (22) 29
 
15.8%
ValueCountFrequency (%)
0 80
43.5%
1 21
 
11.4%
2 16
 
8.7%
3 10
 
5.4%
4 7
 
3.8%
5 6
 
3.3%
6 4
 
2.2%
7 3
 
1.6%
8 2
 
1.1%
9 6
 
3.3%
ValueCountFrequency (%)
142 1
0.5%
99 1
0.5%
80 1
0.5%
74 1
0.5%
67 1
0.5%
43 1
0.5%
42 1
0.5%
40 2
1.1%
39 2
1.1%
38 1
0.5%

학교용지면적
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14103.192
Minimum0
Maximum187132.2
Zeros93
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:06.598547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316087.25
95-th percentile64308.165
Maximum187132.2
Range187132.2
Interquartile range (IQR)16087.25

Descriptive statistics

Standard deviation27167.295
Coefficient of variation (CV)1.9263224
Kurtosis12.838721
Mean14103.192
Median Absolute Deviation (MAD)0
Skewness3.1986977
Sum2594987.3
Variance7.3806191 × 108
MonotonicityNot monotonic
2023-12-12T13:43:06.808971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 93
50.5%
137886.9 1
 
0.5%
33475.0 1
 
0.5%
5822.0 1
 
0.5%
72323.0 1
 
0.5%
14371.0 1
 
0.5%
2953.0 1
 
0.5%
9259.0 1
 
0.5%
21897.0 1
 
0.5%
52428.0 1
 
0.5%
Other values (82) 82
44.6%
ValueCountFrequency (%)
0.0 93
50.5%
130.0 1
 
0.5%
402.0 1
 
0.5%
469.0 1
 
0.5%
526.0 1
 
0.5%
843.0 1
 
0.5%
1587.0 1
 
0.5%
1639.0 1
 
0.5%
1666.0 1
 
0.5%
1871.0 1
 
0.5%
ValueCountFrequency (%)
187132.2 1
0.5%
137886.9 1
0.5%
114396.2 1
0.5%
114038.0 1
0.5%
113953.9 1
0.5%
84812.0 1
0.5%
80658.0 1
0.5%
72323.0 1
0.5%
68506.4 1
0.5%
64830.9 1
0.5%

학교용지면적수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5271739
Minimum0
Maximum58
Zeros93
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:06.977095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile24.85
Maximum58
Range58
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.3842864
Coefficient of variation (CV)2.0728796
Kurtosis13.006096
Mean4.5271739
Median Absolute Deviation (MAD)0
Skewness3.351706
Sum833
Variance88.064831
MonotonicityNot monotonic
2023-12-12T13:43:07.153585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 93
50.5%
1 18
 
9.8%
2 12
 
6.5%
5 10
 
5.4%
3 7
 
3.8%
7 5
 
2.7%
4 5
 
2.7%
8 4
 
2.2%
12 4
 
2.2%
10 3
 
1.6%
Other values (18) 23
 
12.5%
ValueCountFrequency (%)
0 93
50.5%
1 18
 
9.8%
2 12
 
6.5%
3 7
 
3.8%
4 5
 
2.7%
5 10
 
5.4%
6 2
 
1.1%
7 5
 
2.7%
8 4
 
2.2%
9 2
 
1.1%
ValueCountFrequency (%)
58 1
 
0.5%
57 1
 
0.5%
42 1
 
0.5%
40 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
30 1
 
0.5%
25 3
1.6%
24 1
 
0.5%
23 1
 
0.5%

주차장면적
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2409.5755
Minimum0
Maximum71458
Zeros105
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:07.336789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31403
95-th percentile12342.485
Maximum71458
Range71458
Interquartile range (IQR)1403

Descriptive statistics

Standard deviation7320.7941
Coefficient of variation (CV)3.038209
Kurtosis47.344977
Mean2409.5755
Median Absolute Deviation (MAD)0
Skewness6.0789403
Sum443361.9
Variance53594027
MonotonicityNot monotonic
2023-12-12T13:43:07.596627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 105
57.1%
402.0 2
 
1.1%
1075.0 2
 
1.1%
2588.0 2
 
1.1%
1120.0 2
 
1.1%
1978.0 1
 
0.5%
2914.0 1
 
0.5%
388.0 1
 
0.5%
177.0 1
 
0.5%
7941.5 1
 
0.5%
Other values (66) 66
35.9%
ValueCountFrequency (%)
0.0 105
57.1%
101.0 1
 
0.5%
138.0 1
 
0.5%
165.0 1
 
0.5%
177.0 1
 
0.5%
222.0 1
 
0.5%
239.0 1
 
0.5%
274.0 1
 
0.5%
311.0 1
 
0.5%
314.0 1
 
0.5%
ValueCountFrequency (%)
71458.0 1
0.5%
37747.7 1
0.5%
29107.2 1
0.5%
28700.0 1
0.5%
20378.9 1
0.5%
20298.5 1
0.5%
19268.5 1
0.5%
15581.4 1
0.5%
13485.6 1
0.5%
12842.0 1
0.5%

주차장면적수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0543478
Minimum0
Maximum46
Zeros105
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:07.754529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum46
Range46
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.4469405
Coefficient of variation (CV)2.6514208
Kurtosis34.003126
Mean2.0543478
Median Absolute Deviation (MAD)0
Skewness5.2717848
Sum378
Variance29.669161
MonotonicityNot monotonic
2023-12-12T13:43:07.913137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 105
57.1%
1 28
 
15.2%
2 20
 
10.9%
3 6
 
3.3%
4 5
 
2.7%
9 3
 
1.6%
7 3
 
1.6%
5 2
 
1.1%
6 2
 
1.1%
14 2
 
1.1%
Other values (7) 8
 
4.3%
ValueCountFrequency (%)
0 105
57.1%
1 28
 
15.2%
2 20
 
10.9%
3 6
 
3.3%
4 5
 
2.7%
5 2
 
1.1%
6 2
 
1.1%
7 3
 
1.6%
8 1
 
0.5%
9 3
 
1.6%
ValueCountFrequency (%)
46 1
 
0.5%
38 1
 
0.5%
21 2
1.1%
17 1
 
0.5%
14 2
1.1%
12 1
 
0.5%
11 1
 
0.5%
9 3
1.6%
8 1
 
0.5%
7 3
1.6%

주유소용지면적
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean775.20163
Minimum0
Maximum9213
Zeros128
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:08.068404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3992
95-th percentile4184.05
Maximum9213
Range9213
Interquartile range (IQR)992

Descriptive statistics

Standard deviation1670.9632
Coefficient of variation (CV)2.1555207
Kurtosis10.413994
Mean775.20163
Median Absolute Deviation (MAD)0
Skewness3.0662781
Sum142637.1
Variance2792117.9
MonotonicityNot monotonic
2023-12-12T13:43:08.252963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 128
69.6%
1490.0 3
 
1.6%
1349.0 2
 
1.1%
2098.0 2
 
1.1%
992.0 2
 
1.1%
2182.0 2
 
1.1%
828.0 2
 
1.1%
347.0 1
 
0.5%
2186.0 1
 
0.5%
3230.0 1
 
0.5%
Other values (40) 40
 
21.7%
ValueCountFrequency (%)
0.0 128
69.6%
165.0 1
 
0.5%
347.0 1
 
0.5%
600.0 1
 
0.5%
635.0 1
 
0.5%
828.0 2
 
1.1%
873.0 1
 
0.5%
904.8 1
 
0.5%
965.0 1
 
0.5%
992.0 2
 
1.1%
ValueCountFrequency (%)
9213.0 1
0.5%
8956.0 1
0.5%
8741.0 1
0.5%
6912.0 1
0.5%
6874.0 1
0.5%
5695.0 1
0.5%
5571.1 1
0.5%
5452.0 1
0.5%
4399.0 1
0.5%
4228.0 1
0.5%

주요소용지지번수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93478261
Minimum0
Maximum12
Zeros128
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:08.412758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.85
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.912309
Coefficient of variation (CV)2.0457259
Kurtosis9.6523033
Mean0.93478261
Median Absolute Deviation (MAD)0
Skewness2.852639
Sum172
Variance3.6569256
MonotonicityNot monotonic
2023-12-12T13:43:08.579148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 128
69.6%
2 15
 
8.2%
1 14
 
7.6%
3 13
 
7.1%
4 4
 
2.2%
7 3
 
1.6%
9 2
 
1.1%
6 2
 
1.1%
5 2
 
1.1%
12 1
 
0.5%
ValueCountFrequency (%)
0 128
69.6%
1 14
 
7.6%
2 15
 
8.2%
3 13
 
7.1%
4 4
 
2.2%
5 2
 
1.1%
6 2
 
1.1%
7 3
 
1.6%
9 2
 
1.1%
12 1
 
0.5%
ValueCountFrequency (%)
12 1
 
0.5%
9 2
 
1.1%
7 3
 
1.6%
6 2
 
1.1%
5 2
 
1.1%
4 4
 
2.2%
3 13
 
7.1%
2 15
 
8.2%
1 14
 
7.6%
0 128
69.6%

창고용지면적
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8779.5326
Minimum0
Maximum178719.7
Zeros12
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:08.758727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11152
median3435
Q38220.75
95-th percentile37851.445
Maximum178719.7
Range178719.7
Interquartile range (IQR)7068.75

Descriptive statistics

Standard deviation17948.812
Coefficient of variation (CV)2.0443927
Kurtosis45.481136
Mean8779.5326
Median Absolute Deviation (MAD)2458.1
Skewness5.727428
Sum1615434
Variance3.2215986 × 108
MonotonicityNot monotonic
2023-12-12T13:43:08.923670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
6.5%
2296.0 2
 
1.1%
912.0 2
 
1.1%
3457.0 1
 
0.5%
506.0 1
 
0.5%
1500.0 1
 
0.5%
4008.0 1
 
0.5%
10640.0 1
 
0.5%
4157.0 1
 
0.5%
8573.0 1
 
0.5%
Other values (161) 161
87.5%
ValueCountFrequency (%)
0.0 12
6.5%
20.0 1
 
0.5%
119.0 1
 
0.5%
175.0 1
 
0.5%
299.0 1
 
0.5%
331.0 1
 
0.5%
368.0 1
 
0.5%
370.0 1
 
0.5%
400.0 1
 
0.5%
422.0 1
 
0.5%
ValueCountFrequency (%)
178719.7 1
0.5%
70061.7 1
0.5%
66529.1 1
0.5%
64846.0 1
0.5%
62006.3 1
0.5%
56046.0 1
0.5%
55810.0 1
0.5%
42144.0 1
0.5%
41575.0 1
0.5%
38313.7 1
0.5%

창고용지지번수
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2282609
Minimum0
Maximum135
Zeros12
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:09.094736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q39
95-th percentile40.55
Maximum135
Range135
Interquartile range (IQR)7

Descriptive statistics

Standard deviation15.502232
Coefficient of variation (CV)1.679865
Kurtosis26.600624
Mean9.2282609
Median Absolute Deviation (MAD)2.5
Skewness4.4496633
Sum1698
Variance240.3192
MonotonicityNot monotonic
2023-12-12T13:43:09.265867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 25
13.6%
2 21
11.4%
1 20
10.9%
3 14
 
7.6%
6 14
 
7.6%
5 13
 
7.1%
7 12
 
6.5%
0 12
 
6.5%
11 8
 
4.3%
13 7
 
3.8%
Other values (24) 38
20.7%
ValueCountFrequency (%)
0 12
6.5%
1 20
10.9%
2 21
11.4%
3 14
7.6%
4 25
13.6%
5 13
7.1%
6 14
7.6%
7 12
6.5%
8 4
 
2.2%
9 5
 
2.7%
ValueCountFrequency (%)
135 1
0.5%
74 1
0.5%
66 1
0.5%
61 1
0.5%
57 1
0.5%
52 1
0.5%
49 2
1.1%
43 1
0.5%
41 1
0.5%
38 2
1.1%

도로면적
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293092.45
Minimum27178
Maximum2508785.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:09.440214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27178
5-th percentile68553.45
Q1122184.68
median174400.15
Q3231528.45
95-th percentile1340654.7
Maximum2508785.3
Range2481607.3
Interquartile range (IQR)109343.78

Descriptive statistics

Standard deviation426028.86
Coefficient of variation (CV)1.4535648
Kurtosis11.444652
Mean293092.45
Median Absolute Deviation (MAD)53858.1
Skewness3.4132863
Sum53929011
Variance1.8150059 × 1011
MonotonicityNot monotonic
2023-12-12T13:43:09.622845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380889.0 1
 
0.5%
422918.2 1
 
0.5%
175821.3 1
 
0.5%
199323.3 1
 
0.5%
192423.0 1
 
0.5%
138940.3 1
 
0.5%
92135.9 1
 
0.5%
170382.1 1
 
0.5%
523065.5 1
 
0.5%
2508785.3 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
27178.0 1
0.5%
43928.0 1
0.5%
48564.0 1
0.5%
49039.5 1
0.5%
49280.0 1
0.5%
50948.4 1
0.5%
53642.5 1
0.5%
56709.0 1
0.5%
58128.0 1
0.5%
68462.4 1
0.5%
ValueCountFrequency (%)
2508785.3 1
0.5%
2298386.0 1
0.5%
2111752.5 1
0.5%
1968057.3 1
0.5%
1922282.0 1
0.5%
1897950.7 1
0.5%
1704409.8 1
0.5%
1441581.1 1
0.5%
1435075.4 1
0.5%
1344326.6 1
0.5%

도로지번수
Real number (ℝ)

Distinct170
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean831.27717
Minimum54
Maximum6322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:09.799442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile213.2
Q1343.75
median495
Q3697
95-th percentile4353.8
Maximum6322
Range6268
Interquartile range (IQR)353.25

Descriptive statistics

Standard deviation1172.5627
Coefficient of variation (CV)1.4105556
Kurtosis9.1078558
Mean831.27717
Median Absolute Deviation (MAD)168.5
Skewness3.1842366
Sum152955
Variance1374903.3
MonotonicityNot monotonic
2023-12-12T13:43:09.976325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
278 2
 
1.1%
545 2
 
1.1%
314 2
 
1.1%
250 2
 
1.1%
447 2
 
1.1%
503 2
 
1.1%
457 2
 
1.1%
474 2
 
1.1%
466 2
 
1.1%
186 2
 
1.1%
Other values (160) 164
89.1%
ValueCountFrequency (%)
54 1
0.5%
95 1
0.5%
159 1
0.5%
176 1
0.5%
186 2
1.1%
203 1
0.5%
208 1
0.5%
209 1
0.5%
212 1
0.5%
220 1
0.5%
ValueCountFrequency (%)
6322 1
0.5%
5351 1
0.5%
5278 1
0.5%
5267 1
0.5%
5145 1
0.5%
5049 1
0.5%
4985 1
0.5%
4916 1
0.5%
4698 1
0.5%
4382 1
0.5%

철도용지면적
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15194.7
Minimum0
Maximum469801
Zeros150
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:10.153053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile87626.44
Maximum469801
Range469801
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51128.347
Coefficient of variation (CV)3.3648803
Kurtosis39.255267
Mean15194.7
Median Absolute Deviation (MAD)0
Skewness5.5572837
Sum2795824.8
Variance2.6141078 × 109
MonotonicityNot monotonic
2023-12-12T13:43:10.294879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 150
81.5%
53839.0 2
 
1.1%
62121.0 1
 
0.5%
86533.0 1
 
0.5%
281591.0 1
 
0.5%
81062.0 1
 
0.5%
2587.0 1
 
0.5%
12377.0 1
 
0.5%
65395.0 1
 
0.5%
47152.0 1
 
0.5%
Other values (24) 24
 
13.0%
ValueCountFrequency (%)
0.0 150
81.5%
2587.0 1
 
0.5%
4770.0 1
 
0.5%
5469.0 1
 
0.5%
9442.0 1
 
0.5%
10897.0 1
 
0.5%
11545.0 1
 
0.5%
12294.0 1
 
0.5%
12377.0 1
 
0.5%
17981.0 1
 
0.5%
ValueCountFrequency (%)
469801.0 1
0.5%
281591.0 1
0.5%
203587.4 1
0.5%
199856.0 1
0.5%
170549.0 1
0.5%
119788.0 1
0.5%
109253.0 1
0.5%
107259.0 1
0.5%
92931.0 1
0.5%
87819.4 1
0.5%

철도용지지번수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3804348
Minimum0
Maximum223
Zeros150
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:10.447668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile46
Maximum223
Range223
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.546633
Coefficient of variation (CV)3.4613994
Kurtosis39.032143
Mean7.3804348
Median Absolute Deviation (MAD)0
Skewness5.6864008
Sum1358
Variance652.63043
MonotonicityNot monotonic
2023-12-12T13:43:10.599649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 150
81.5%
10 4
 
2.2%
11 3
 
1.6%
12 2
 
1.1%
8 2
 
1.1%
46 2
 
1.1%
30 1
 
0.5%
32 1
 
0.5%
5 1
 
0.5%
83 1
 
0.5%
Other values (17) 17
 
9.2%
ValueCountFrequency (%)
0 150
81.5%
4 1
 
0.5%
5 1
 
0.5%
8 2
 
1.1%
9 1
 
0.5%
10 4
 
2.2%
11 3
 
1.6%
12 2
 
1.1%
17 1
 
0.5%
22 1
 
0.5%
ValueCountFrequency (%)
223 1
0.5%
179 1
0.5%
88 1
0.5%
86 1
0.5%
83 1
0.5%
65 1
0.5%
59 1
0.5%
52 1
0.5%
47 1
0.5%
46 2
1.1%

제방면적
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29246.801
Minimum0
Maximum518703
Zeros41
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:10.807874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1168.5
median5866
Q331008.25
95-th percentile124053.75
Maximum518703
Range518703
Interquartile range (IQR)30839.75

Descriptive statistics

Standard deviation64150.81
Coefficient of variation (CV)2.19343
Kurtosis26.29994
Mean29246.801
Median Absolute Deviation (MAD)5866
Skewness4.6186032
Sum5381411.4
Variance4.1153265 × 109
MonotonicityNot monotonic
2023-12-12T13:43:11.029743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
 
22.3%
92433.9 1
 
0.5%
54494.0 1
 
0.5%
615.0 1
 
0.5%
314776.0 1
 
0.5%
2858.0 1
 
0.5%
3818.0 1
 
0.5%
28273.0 1
 
0.5%
71372.0 1
 
0.5%
3131.0 1
 
0.5%
Other values (134) 134
72.8%
ValueCountFrequency (%)
0.0 41
22.3%
17.0 1
 
0.5%
24.0 1
 
0.5%
47.0 1
 
0.5%
79.8 1
 
0.5%
155.0 1
 
0.5%
173.0 1
 
0.5%
354.0 1
 
0.5%
548.0 1
 
0.5%
575.0 1
 
0.5%
ValueCountFrequency (%)
518703.0 1
0.5%
396961.0 1
0.5%
314776.0 1
0.5%
248301.0 1
0.5%
211088.1 1
0.5%
201078.3 1
0.5%
185912.4 1
0.5%
169461.8 1
0.5%
144304.8 1
0.5%
126444.0 1
0.5%

제방지번수
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.847826
Minimum0
Maximum509
Zeros41
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:11.234950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9.5
Q354
95-th percentile227.75
Maximum509
Range509
Interquartile range (IQR)53

Descriptive statistics

Standard deviation79.672408
Coefficient of variation (CV)1.7765055
Kurtosis10.43284
Mean44.847826
Median Absolute Deviation (MAD)9.5
Skewness2.9882958
Sum8252
Variance6347.6926
MonotonicityNot monotonic
2023-12-12T13:43:11.833242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
22.3%
1 10
 
5.4%
2 7
 
3.8%
7 7
 
3.8%
5 7
 
3.8%
3 6
 
3.3%
25 5
 
2.7%
29 4
 
2.2%
4 4
 
2.2%
6 4
 
2.2%
Other values (64) 89
48.4%
ValueCountFrequency (%)
0 41
22.3%
1 10
 
5.4%
2 7
 
3.8%
3 6
 
3.3%
4 4
 
2.2%
5 7
 
3.8%
6 4
 
2.2%
7 7
 
3.8%
8 2
 
1.1%
9 4
 
2.2%
ValueCountFrequency (%)
509 1
0.5%
392 1
0.5%
369 1
0.5%
353 1
0.5%
310 1
0.5%
252 1
0.5%
250 1
0.5%
237 1
0.5%
234 1
0.5%
230 1
0.5%

하천면적
Real number (ℝ)

ZEROS 

Distinct172
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149548.21
Minimum0
Maximum1493779.8
Zeros12
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:12.041923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111976
median63715.95
Q3158779.25
95-th percentile656314.97
Maximum1493779.8
Range1493779.8
Interquartile range (IQR)146803.25

Descriptive statistics

Standard deviation255186.65
Coefficient of variation (CV)1.7063838
Kurtosis12.024325
Mean149548.21
Median Absolute Deviation (MAD)61235.95
Skewness3.3128792
Sum27516871
Variance6.5120225 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:12.274444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
6.5%
62.0 2
 
1.1%
20824.0 1
 
0.5%
60.0 1
 
0.5%
4364.0 1
 
0.5%
6985.0 1
 
0.5%
206621.0 1
 
0.5%
176013.0 1
 
0.5%
10862.0 1
 
0.5%
27078.0 1
 
0.5%
Other values (162) 162
88.0%
ValueCountFrequency (%)
0.0 12
6.5%
7.0 1
 
0.5%
50.0 1
 
0.5%
60.0 1
 
0.5%
62.0 2
 
1.1%
228.0 1
 
0.5%
296.0 1
 
0.5%
335.9 1
 
0.5%
486.0 1
 
0.5%
573.0 1
 
0.5%
ValueCountFrequency (%)
1493779.8 1
0.5%
1466817.0 1
0.5%
1237313.6 1
0.5%
1179737.2 1
0.5%
1166379.0 1
0.5%
1005839.0 1
0.5%
978358.0 1
0.5%
725715.9 1
0.5%
722768.0 1
0.5%
657194.5 1
0.5%

하천지번수
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.070652
Minimum0
Maximum942
Zeros12
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:12.475407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median41
Q3118.75
95-th percentile353.25
Maximum942
Range942
Interquartile range (IQR)111.75

Descriptive statistics

Standard deviation156.61198
Coefficient of variation (CV)1.647322
Kurtosis11.353944
Mean95.070652
Median Absolute Deviation (MAD)37
Skewness3.1834732
Sum17493
Variance24527.312
MonotonicityNot monotonic
2023-12-12T13:43:12.674505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
6.5%
1 7
 
3.8%
5 6
 
3.3%
2 6
 
3.3%
6 5
 
2.7%
7 4
 
2.2%
17 4
 
2.2%
4 4
 
2.2%
3 4
 
2.2%
8 4
 
2.2%
Other values (99) 128
69.6%
ValueCountFrequency (%)
0 12
6.5%
1 7
3.8%
2 6
3.3%
3 4
 
2.2%
4 4
 
2.2%
5 6
3.3%
6 5
2.7%
7 4
 
2.2%
8 4
 
2.2%
9 2
 
1.1%
ValueCountFrequency (%)
942 1
0.5%
825 1
0.5%
782 1
0.5%
770 1
0.5%
687 1
0.5%
604 1
0.5%
529 1
0.5%
522 1
0.5%
497 1
0.5%
354 1
0.5%

구거면적
Real number (ℝ)

UNIQUE 

Distinct184
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239204.22
Minimum4075
Maximum2074016.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:12.891003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4075
5-th percentile27852.295
Q182223.75
median126756.2
Q3207765.18
95-th percentile1117129.4
Maximum2074016.6
Range2069941.6
Interquartile range (IQR)125541.43

Descriptive statistics

Standard deviation371923.68
Coefficient of variation (CV)1.5548375
Kurtosis11.046361
Mean239204.22
Median Absolute Deviation (MAD)59950.6
Skewness3.3682017
Sum44013576
Variance1.3832723 × 1011
MonotonicityNot monotonic
2023-12-12T13:43:13.066504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12397.0 1
 
0.5%
106173.3 1
 
0.5%
97142.4 1
 
0.5%
219277.1 1
 
0.5%
276869.0 1
 
0.5%
180581.1 1
 
0.5%
233421.1 1
 
0.5%
197148.3 1
 
0.5%
248364.1 1
 
0.5%
1766570.8 1
 
0.5%
Other values (174) 174
94.6%
ValueCountFrequency (%)
4075.0 1
0.5%
6893.5 1
0.5%
8453.0 1
0.5%
12397.0 1
0.5%
12732.0 1
0.5%
16730.0 1
0.5%
17660.0 1
0.5%
21272.0 1
0.5%
21416.4 1
0.5%
27807.4 1
0.5%
ValueCountFrequency (%)
2074016.6 1
0.5%
2044690.6 1
0.5%
1766570.8 1
0.5%
1749541.9 1
0.5%
1577791.2 1
0.5%
1574635.7 1
0.5%
1525818.3 1
0.5%
1501112.1 1
0.5%
1309745.2 1
0.5%
1119339.5 1
0.5%

구거지번수
Real number (ℝ)

Distinct138
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.32065
Minimum8
Maximum1440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:13.267085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile25.6
Q167
median104
Q3155
95-th percentile956.65
Maximum1440
Range1432
Interquartile range (IQR)88

Descriptive statistics

Standard deviation271.73681
Coefficient of variation (CV)1.4742614
Kurtosis9.7781518
Mean184.32065
Median Absolute Deviation (MAD)44
Skewness3.1924486
Sum33915
Variance73840.897
MonotonicityNot monotonic
2023-12-12T13:43:13.479444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104 4
 
2.2%
75 4
 
2.2%
41 3
 
1.6%
101 3
 
1.6%
37 3
 
1.6%
60 3
 
1.6%
29 3
 
1.6%
82 3
 
1.6%
127 3
 
1.6%
98 2
 
1.1%
Other values (128) 153
83.2%
ValueCountFrequency (%)
8 1
 
0.5%
10 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
19 1
 
0.5%
23 2
1.1%
24 1
 
0.5%
25 1
 
0.5%
29 3
1.6%
ValueCountFrequency (%)
1440 1
0.5%
1429 1
0.5%
1340 1
0.5%
1322 1
0.5%
1141 1
0.5%
1080 1
0.5%
1075 1
0.5%
1021 1
0.5%
993 1
0.5%
967 1
0.5%

유지면적
Real number (ℝ)

ZEROS 

Distinct156
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141077.77
Minimum0
Maximum7545554
Zeros29
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:13.698288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12274
median17235
Q355902.25
95-th percentile537392.45
Maximum7545554
Range7545554
Interquartile range (IQR)53628.25

Descriptive statistics

Standard deviation613707.5
Coefficient of variation (CV)4.3501362
Kurtosis117.84738
Mean141077.77
Median Absolute Deviation (MAD)17214
Skewness10.126264
Sum25958309
Variance3.7663689 × 1011
MonotonicityNot monotonic
2023-12-12T13:43:13.903813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
15.8%
60259.0 1
 
0.5%
154.0 1
 
0.5%
23071.0 1
 
0.5%
196598.4 1
 
0.5%
39162.0 1
 
0.5%
17131.4 1
 
0.5%
6251.0 1
 
0.5%
255.0 1
 
0.5%
7345.0 1
 
0.5%
Other values (146) 146
79.3%
ValueCountFrequency (%)
0.0 29
15.8%
42.0 1
 
0.5%
102.0 1
 
0.5%
116.0 1
 
0.5%
154.0 1
 
0.5%
200.0 1
 
0.5%
215.0 1
 
0.5%
231.0 1
 
0.5%
255.0 1
 
0.5%
278.0 1
 
0.5%
ValueCountFrequency (%)
7545554.0 1
0.5%
2130397.0 1
0.5%
1939821.0 1
0.5%
1573490.0 1
0.5%
1007118.0 1
0.5%
705990.0 1
0.5%
686665.9 1
0.5%
586889.0 1
0.5%
579266.0 1
0.5%
543689.0 1
0.5%

유지지번수
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.440217
Minimum0
Maximum2793
Zeros29
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:14.099192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q327
95-th percentile198.95
Maximum2793
Range2793
Interquartile range (IQR)24

Descriptive statistics

Standard deviation227.94364
Coefficient of variation (CV)3.9683631
Kurtosis115.25685
Mean57.440217
Median Absolute Deviation (MAD)10
Skewness9.9651273
Sum10569
Variance51958.302
MonotonicityNot monotonic
2023-12-12T13:43:14.259682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
15.8%
6 8
 
4.3%
2 8
 
4.3%
1 7
 
3.8%
7 6
 
3.3%
9 6
 
3.3%
10 5
 
2.7%
3 5
 
2.7%
16 5
 
2.7%
8 5
 
2.7%
Other values (56) 100
54.3%
ValueCountFrequency (%)
0 29
15.8%
1 7
 
3.8%
2 8
 
4.3%
3 5
 
2.7%
4 5
 
2.7%
5 5
 
2.7%
6 8
 
4.3%
7 6
 
3.3%
8 5
 
2.7%
9 6
 
3.3%
ValueCountFrequency (%)
2793 1
0.5%
816 1
0.5%
623 1
0.5%
591 1
0.5%
491 1
0.5%
321 1
0.5%
291 1
0.5%
271 1
0.5%
242 1
0.5%
200 1
0.5%

양어장면적
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1827.412
Minimum0
Maximum29922
Zeros140
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:14.419635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10038.25
Maximum29922
Range29922
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4689.9994
Coefficient of variation (CV)2.5664708
Kurtosis15.585403
Mean1827.412
Median Absolute Deviation (MAD)0
Skewness3.6823039
Sum336243.8
Variance21996095
MonotonicityNot monotonic
2023-12-12T13:43:14.609062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 140
76.1%
3035.0 2
 
1.1%
10045.0 2
 
1.1%
744.0 2
 
1.1%
3407.0 2
 
1.1%
4950.0 2
 
1.1%
9076.1 1
 
0.5%
4232.0 1
 
0.5%
3199.0 1
 
0.5%
29922.0 1
 
0.5%
Other values (30) 30
 
16.3%
ValueCountFrequency (%)
0.0 140
76.1%
744.0 2
 
1.1%
768.0 1
 
0.5%
1502.0 1
 
0.5%
2427.0 1
 
0.5%
2748.0 1
 
0.5%
2778.7 1
 
0.5%
2892.0 1
 
0.5%
3031.0 1
 
0.5%
3035.0 2
 
1.1%
ValueCountFrequency (%)
29922.0 1
0.5%
28847.8 1
0.5%
21780.5 1
0.5%
20007.8 1
0.5%
18034.0 1
0.5%
17195.0 1
0.5%
11674.0 1
0.5%
11125.0 1
0.5%
10045.0 2
1.1%
10000.0 1
0.5%

양어장지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95108696
Minimum0
Maximum19
Zeros140
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:14.743253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5248057
Coefficient of variation (CV)2.6546528
Kurtosis20.390891
Mean0.95108696
Median Absolute Deviation (MAD)0
Skewness4.0799474
Sum175
Variance6.3746436
MonotonicityNot monotonic
2023-12-12T13:43:14.902215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 140
76.1%
1 13
 
7.1%
2 8
 
4.3%
5 6
 
3.3%
4 5
 
2.7%
3 4
 
2.2%
6 2
 
1.1%
8 2
 
1.1%
14 1
 
0.5%
11 1
 
0.5%
Other values (2) 2
 
1.1%
ValueCountFrequency (%)
0 140
76.1%
1 13
 
7.1%
2 8
 
4.3%
3 4
 
2.2%
4 5
 
2.7%
5 6
 
3.3%
6 2
 
1.1%
8 2
 
1.1%
11 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
19 1
 
0.5%
14 1
 
0.5%
12 1
 
0.5%
11 1
 
0.5%
8 2
 
1.1%
6 2
 
1.1%
5 6
3.3%
4 5
2.7%
3 4
2.2%
2 8
4.3%

수도용지면적
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2551.7707
Minimum0
Maximum144408
Zeros136
Zeros (%)73.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:15.063023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile8368.55
Maximum144408
Range144408
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15091.817
Coefficient of variation (CV)5.9142529
Kurtosis82.043581
Mean2551.7707
Median Absolute Deviation (MAD)0
Skewness8.9523266
Sum469525.8
Variance2.2776294 × 108
MonotonicityNot monotonic
2023-12-12T13:43:15.231359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.0 136
73.9%
12259.0 2
 
1.1%
1515.5 2
 
1.1%
424.2 1
 
0.5%
3260.0 1
 
0.5%
301.0 1
 
0.5%
6580.0 1
 
0.5%
307.0 1
 
0.5%
32.0 1
 
0.5%
6241.0 1
 
0.5%
Other values (37) 37
 
20.1%
ValueCountFrequency (%)
0.0 136
73.9%
6.0 1
 
0.5%
12.0 1
 
0.5%
32.0 1
 
0.5%
34.0 1
 
0.5%
136.0 1
 
0.5%
140.0 1
 
0.5%
165.0 1
 
0.5%
174.0 1
 
0.5%
200.0 1
 
0.5%
ValueCountFrequency (%)
144408.0 1
0.5%
141857.0 1
0.5%
22252.0 1
0.5%
14137.0 1
0.5%
14001.0 1
0.5%
12728.8 1
0.5%
12259.0 2
1.1%
8979.0 1
0.5%
8405.0 1
0.5%
8162.0 1
0.5%

수도용지지번수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5108696
Minimum0
Maximum44
Zeros136
Zeros (%)73.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:15.376951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile22.75
Maximum44
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.7741263
Coefficient of variation (CV)3.0961888
Kurtosis15.14264
Mean2.5108696
Median Absolute Deviation (MAD)0
Skewness3.9057758
Sum462
Variance60.43704
MonotonicityNot monotonic
2023-12-12T13:43:15.495038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 136
73.9%
1 13
 
7.1%
2 8
 
4.3%
3 6
 
3.3%
28 3
 
1.6%
9 3
 
1.6%
4 2
 
1.1%
43 2
 
1.1%
31 2
 
1.1%
8 2
 
1.1%
Other values (6) 7
 
3.8%
ValueCountFrequency (%)
0 136
73.9%
1 13
 
7.1%
2 8
 
4.3%
3 6
 
3.3%
4 2
 
1.1%
6 1
 
0.5%
7 1
 
0.5%
8 2
 
1.1%
9 3
 
1.6%
10 2
 
1.1%
ValueCountFrequency (%)
44 1
 
0.5%
43 2
1.1%
31 2
1.1%
30 1
 
0.5%
28 3
1.6%
25 1
 
0.5%
10 2
1.1%
9 3
1.6%
8 2
1.1%
7 1
 
0.5%

공원면적
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11360.562
Minimum0
Maximum353295
Zeros153
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:15.637502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45949.8
Maximum353295
Range353295
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46416.114
Coefficient of variation (CV)4.0857234
Kurtosis29.706193
Mean11360.562
Median Absolute Deviation (MAD)0
Skewness5.2792648
Sum2090343.4
Variance2.1544556 × 109
MonotonicityNot monotonic
2023-12-12T13:43:15.802189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 153
83.2%
8699.0 2
 
1.1%
12165.4 2
 
1.1%
179833.4 1
 
0.5%
25449.8 1
 
0.5%
1862.0 1
 
0.5%
44367.1 1
 
0.5%
46229.1 1
 
0.5%
21065.5 1
 
0.5%
174943.2 1
 
0.5%
Other values (20) 20
 
10.9%
ValueCountFrequency (%)
0.0 153
83.2%
1862.0 1
 
0.5%
2110.7 1
 
0.5%
2307.0 1
 
0.5%
2906.7 1
 
0.5%
6067.0 1
 
0.5%
8654.0 1
 
0.5%
8699.0 2
 
1.1%
10495.7 1
 
0.5%
11243.6 1
 
0.5%
ValueCountFrequency (%)
353295.0 1
0.5%
310508.2 1
0.5%
219379.2 1
0.5%
196008.7 1
0.5%
179833.4 1
0.5%
174943.2 1
0.5%
171963.0 1
0.5%
75545.3 1
0.5%
54942.0 1
0.5%
46229.1 1
0.5%

공원지번수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3097826
Minimum0
Maximum57
Zeros153
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:15.982273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4749017
Coefficient of variation (CV)4.1800079
Kurtosis66.418879
Mean1.3097826
Median Absolute Deviation (MAD)0
Skewness7.4689667
Sum241
Variance29.974549
MonotonicityNot monotonic
2023-12-12T13:43:16.119324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 153
83.2%
1 6
 
3.3%
4 6
 
3.3%
2 4
 
2.2%
6 3
 
1.6%
3 3
 
1.6%
10 2
 
1.1%
35 1
 
0.5%
11 1
 
0.5%
13 1
 
0.5%
Other values (4) 4
 
2.2%
ValueCountFrequency (%)
0 153
83.2%
1 6
 
3.3%
2 4
 
2.2%
3 3
 
1.6%
4 6
 
3.3%
6 3
 
1.6%
8 1
 
0.5%
10 2
 
1.1%
11 1
 
0.5%
13 1
 
0.5%
ValueCountFrequency (%)
57 1
 
0.5%
35 1
 
0.5%
18 1
 
0.5%
14 1
 
0.5%
13 1
 
0.5%
11 1
 
0.5%
10 2
 
1.1%
8 1
 
0.5%
6 3
1.6%
4 6
3.3%

체육용지면적
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16708.043
Minimum0
Maximum1060637.1
Zeros144
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:16.280183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19679.07
Maximum1060637.1
Range1060637.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation113277.17
Coefficient of variation (CV)6.7797985
Kurtosis73.688428
Mean16708.043
Median Absolute Deviation (MAD)0
Skewness8.4397156
Sum3074280
Variance1.2831717 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:16.437452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 144
78.3%
1087.0 2
 
1.1%
572.0 2
 
1.1%
1917.0 2
 
1.1%
2537.0 2
 
1.1%
1122.0 2
 
1.1%
3881.0 2
 
1.1%
4098.0 2
 
1.1%
1410.0 2
 
1.1%
20442.6 2
 
1.1%
Other values (20) 22
 
12.0%
ValueCountFrequency (%)
0.0 144
78.3%
92.0 1
 
0.5%
572.0 2
 
1.1%
813.0 1
 
0.5%
1087.0 2
 
1.1%
1122.0 2
 
1.1%
1246.0 2
 
1.1%
1291.0 1
 
0.5%
1410.0 2
 
1.1%
1516.0 1
 
0.5%
ValueCountFrequency (%)
1060637.1 1
0.5%
1023866.0 1
0.5%
388838.7 1
0.5%
211258.4 1
0.5%
162610.7 1
0.5%
36771.1 1
0.5%
24067.2 1
0.5%
22776.2 1
0.5%
20442.6 2
1.1%
15352.4 1
0.5%

체육용지지번수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum0
Maximum80
Zeros144
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:16.569346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5585416
Coefficient of variation (CV)4.8905952
Kurtosis57.074646
Mean1.75
Median Absolute Deviation (MAD)0
Skewness7.3245302
Sum322
Variance73.248634
MonotonicityNot monotonic
2023-12-12T13:43:16.720079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 144
78.3%
1 16
 
8.7%
2 10
 
5.4%
3 3
 
1.6%
7 2
 
1.1%
15 2
 
1.1%
80 1
 
0.5%
12 1
 
0.5%
9 1
 
0.5%
62 1
 
0.5%
Other values (3) 3
 
1.6%
ValueCountFrequency (%)
0 144
78.3%
1 16
 
8.7%
2 10
 
5.4%
3 3
 
1.6%
7 2
 
1.1%
8 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
12 1
 
0.5%
15 2
 
1.1%
ValueCountFrequency (%)
80 1
 
0.5%
62 1
 
0.5%
52 1
 
0.5%
15 2
1.1%
12 1
 
0.5%
10 1
 
0.5%
9 1
 
0.5%
8 1
 
0.5%
7 2
1.1%
3 3
1.6%

유원지면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1126.4337
Minimum0
Maximum57300
Zeros166
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:16.884140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8337.6
Maximum57300
Range57300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5605.2619
Coefficient of variation (CV)4.9761135
Kurtosis64.696958
Mean1126.4337
Median Absolute Deviation (MAD)0
Skewness7.4967616
Sum207263.8
Variance31418961
MonotonicityNot monotonic
2023-12-12T13:43:17.023127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 166
90.2%
1091.0 2
 
1.1%
2571.0 2
 
1.1%
2377.0 2
 
1.1%
8730.0 2
 
1.1%
9960.0 2
 
1.1%
6114.0 1
 
0.5%
57300.0 1
 
0.5%
11062.0 1
 
0.5%
9930.0 1
 
0.5%
Other values (4) 4
 
2.2%
ValueCountFrequency (%)
0.0 166
90.2%
1091.0 2
 
1.1%
1132.0 1
 
0.5%
2377.0 2
 
1.1%
2571.0 2
 
1.1%
6114.0 1
 
0.5%
8730.0 2
 
1.1%
9930.0 1
 
0.5%
9960.0 2
 
1.1%
10856.0 1
 
0.5%
ValueCountFrequency (%)
57300.0 1
0.5%
36133.9 1
0.5%
25277.9 1
0.5%
11062.0 1
0.5%
10856.0 1
0.5%
9960.0 2
1.1%
9930.0 1
0.5%
8730.0 2
1.1%
6114.0 1
0.5%
2571.0 2
1.1%

유원지지번수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38586957
Minimum0
Maximum21
Zeros166
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:17.140591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0824576
Coefficient of variation (CV)5.3967916
Kurtosis69.767083
Mean0.38586957
Median Absolute Deviation (MAD)0
Skewness7.9757098
Sum71
Variance4.3366298
MonotonicityNot monotonic
2023-12-12T13:43:17.253052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 166
90.2%
1 10
 
5.4%
2 2
 
1.1%
6 2
 
1.1%
3 1
 
0.5%
21 1
 
0.5%
16 1
 
0.5%
5 1
 
0.5%
ValueCountFrequency (%)
0 166
90.2%
1 10
 
5.4%
2 2
 
1.1%
3 1
 
0.5%
5 1
 
0.5%
6 2
 
1.1%
16 1
 
0.5%
21 1
 
0.5%
ValueCountFrequency (%)
21 1
 
0.5%
16 1
 
0.5%
6 2
 
1.1%
5 1
 
0.5%
3 1
 
0.5%
2 2
 
1.1%
1 10
 
5.4%
0 166
90.2%

종교용지면적
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2285.7891
Minimum0
Maximum24485
Zeros72
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:17.487119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median780.5
Q32511
95-th percentile11508.605
Maximum24485
Range24485
Interquartile range (IQR)2511

Descriptive statistics

Standard deviation4154.1848
Coefficient of variation (CV)1.8173964
Kurtosis10.077043
Mean2285.7891
Median Absolute Deviation (MAD)780.5
Skewness2.9953244
Sum420585.2
Variance17257252
MonotonicityNot monotonic
2023-12-12T13:43:18.122228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 72
39.1%
221.0 2
 
1.1%
3331.0 2
 
1.1%
500.0 2
 
1.1%
995.0 2
 
1.1%
1021.0 2
 
1.1%
9730.0 1
 
0.5%
4685.0 1
 
0.5%
907.0 1
 
0.5%
929.0 1
 
0.5%
Other values (98) 98
53.3%
ValueCountFrequency (%)
0.0 72
39.1%
99.0 1
 
0.5%
100.0 1
 
0.5%
172.0 1
 
0.5%
221.0 2
 
1.1%
241.0 1
 
0.5%
321.0 1
 
0.5%
324.0 1
 
0.5%
343.0 1
 
0.5%
429.0 1
 
0.5%
ValueCountFrequency (%)
24485.0 1
0.5%
23371.0 1
0.5%
18095.0 1
0.5%
17090.8 1
0.5%
16716.0 1
0.5%
15551.0 1
0.5%
14100.0 1
0.5%
12914.0 1
0.5%
11650.0 1
0.5%
11528.3 1
0.5%

종교용지지번수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3695652
Minimum0
Maximum27
Zeros72
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:18.257181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11.85
Maximum27
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.878531
Coefficient of variation (CV)1.6368113
Kurtosis10.70827
Mean2.3695652
Median Absolute Deviation (MAD)1
Skewness2.8940931
Sum436
Variance15.043003
MonotonicityNot monotonic
2023-12-12T13:43:18.408501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 72
39.1%
1 36
19.6%
2 26
 
14.1%
3 18
 
9.8%
4 6
 
3.3%
5 5
 
2.7%
12 3
 
1.6%
7 3
 
1.6%
9 3
 
1.6%
13 2
 
1.1%
Other values (6) 10
 
5.4%
ValueCountFrequency (%)
0 72
39.1%
1 36
19.6%
2 26
 
14.1%
3 18
 
9.8%
4 6
 
3.3%
5 5
 
2.7%
7 3
 
1.6%
8 2
 
1.1%
9 3
 
1.6%
10 1
 
0.5%
ValueCountFrequency (%)
27 1
 
0.5%
16 2
1.1%
14 2
1.1%
13 2
1.1%
12 3
1.6%
11 2
1.1%
10 1
 
0.5%
9 3
1.6%
8 2
1.1%
7 3
1.6%

사적지면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0.0
177 
20778.0
 
2
99734.1
 
2
225.0
 
2
8679.0
 
1

Length

Max length7
Median length3
Mean length3.125
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row8679.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 177
96.2%
20778.0 2
 
1.1%
99734.1 2
 
1.1%
225.0 2
 
1.1%
8679.0 1
 
0.5%

Length

2023-12-12T13:43:18.601897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:18.775563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 177
96.2%
20778.0 2
 
1.1%
99734.1 2
 
1.1%
225.0 2
 
1.1%
8679.0 1
 
0.5%

사전지지번수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
177 
4
 
2
21
 
2
1
 
2
20
 
1

Length

Max length2
Median length1
Mean length1.0163043
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row20
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 177
96.2%
4 2
 
1.1%
21 2
 
1.1%
1 2
 
1.1%
20 1
 
0.5%

Length

2023-12-12T13:43:18.924178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:19.049941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
96.2%
4 2
 
1.1%
21 2
 
1.1%
1 2
 
1.1%
20 1
 
0.5%

묘지면적
Real number (ℝ)

ZEROS 

Distinct172
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20274.205
Minimum0
Maximum266993
Zeros13
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:19.212106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11698.75
median8157
Q320950.25
95-th percentile106242.95
Maximum266993
Range266993
Interquartile range (IQR)19251.5

Descriptive statistics

Standard deviation36375.794
Coefficient of variation (CV)1.7941909
Kurtosis15.595313
Mean20274.205
Median Absolute Deviation (MAD)7381
Skewness3.5974035
Sum3730453.8
Variance1.3231984 × 109
MonotonicityNot monotonic
2023-12-12T13:43:19.426678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
7.1%
23300.0 1
 
0.5%
5374.0 1
 
0.5%
3675.0 1
 
0.5%
7930.0 1
 
0.5%
1880.0 1
 
0.5%
529.0 1
 
0.5%
13123.0 1
 
0.5%
43131.0 1
 
0.5%
124262.0 1
 
0.5%
Other values (162) 162
88.0%
ValueCountFrequency (%)
0.0 13
7.1%
30.0 1
 
0.5%
50.0 1
 
0.5%
116.0 1
 
0.5%
146.0 1
 
0.5%
198.0 1
 
0.5%
268.0 1
 
0.5%
272.0 1
 
0.5%
279.0 1
 
0.5%
314.0 1
 
0.5%
ValueCountFrequency (%)
266993.0 1
0.5%
180666.8 1
0.5%
154014.0 1
0.5%
145507.8 1
0.5%
140097.0 1
0.5%
135851.5 1
0.5%
124262.0 1
0.5%
118670.0 1
0.5%
117674.0 1
0.5%
108131.0 1
0.5%

묘지지번수
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.559783
Minimum0
Maximum179
Zeros13
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:19.618968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q314
95-th percentile74.8
Maximum179
Range179
Interquartile range (IQR)11

Descriptive statistics

Standard deviation24.805621
Coefficient of variation (CV)1.7037082
Kurtosis15.134821
Mean14.559783
Median Absolute Deviation (MAD)5
Skewness3.6398919
Sum2679
Variance615.31881
MonotonicityNot monotonic
2023-12-12T13:43:19.827398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
6 14
 
7.6%
2 13
 
7.1%
8 13
 
7.1%
0 13
 
7.1%
7 12
 
6.5%
1 12
 
6.5%
3 12
 
6.5%
4 11
 
6.0%
9 10
 
5.4%
5 8
 
4.3%
Other values (33) 66
35.9%
ValueCountFrequency (%)
0 13
7.1%
1 12
6.5%
2 13
7.1%
3 12
6.5%
4 11
6.0%
5 8
4.3%
6 14
7.6%
7 12
6.5%
8 13
7.1%
9 10
5.4%
ValueCountFrequency (%)
179 1
0.5%
114 1
0.5%
110 1
0.5%
107 1
0.5%
103 1
0.5%
97 1
0.5%
94 1
0.5%
86 1
0.5%
85 1
0.5%
76 1
0.5%

잡종지면적
Real number (ℝ)

Distinct183
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71646.091
Minimum0
Maximum926844.4
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:20.030664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1198.9
Q110104.3
median26342.75
Q366085.775
95-th percentile333220.16
Maximum926844.4
Range926844.4
Interquartile range (IQR)55981.475

Descriptive statistics

Standard deviation133614.38
Coefficient of variation (CV)1.8649221
Kurtosis16.637791
Mean71646.091
Median Absolute Deviation (MAD)20521.25
Skewness3.7948838
Sum13182881
Variance1.7852802 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:20.221811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
792.0 2
 
1.1%
631.0 1
 
0.5%
522875.6 1
 
0.5%
20325.0 1
 
0.5%
24020.0 1
 
0.5%
3929.0 1
 
0.5%
57215.0 1
 
0.5%
3768.0 1
 
0.5%
8088.0 1
 
0.5%
28693.0 1
 
0.5%
Other values (173) 173
94.0%
ValueCountFrequency (%)
0.0 1
0.5%
56.0 1
0.5%
500.0 1
0.5%
517.5 1
0.5%
613.0 1
0.5%
631.0 1
0.5%
792.0 2
1.1%
993.1 1
0.5%
1120.0 1
0.5%
1646.0 1
0.5%
ValueCountFrequency (%)
926844.4 1
0.5%
769015.4 1
0.5%
675766.7 1
0.5%
630866.0 1
0.5%
522875.6 1
0.5%
465145.5 1
0.5%
424455.5 1
0.5%
384722.1 1
0.5%
360761.0 1
0.5%
350166.2 1
0.5%

잡종지지번수
Real number (ℝ)

Distinct91
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.847826
Minimum0
Maximum958
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:43:20.410800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median24
Q358.25
95-th percentile229.45
Maximum958
Range958
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation117.22599
Coefficient of variation (CV)1.8953939
Kurtosis26.196622
Mean61.847826
Median Absolute Deviation (MAD)15
Skewness4.6205057
Sum11380
Variance13741.933
MonotonicityNot monotonic
2023-12-12T13:43:20.585697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 6
 
3.3%
13 6
 
3.3%
19 6
 
3.3%
12 6
 
3.3%
9 6
 
3.3%
11 6
 
3.3%
14 5
 
2.7%
20 5
 
2.7%
29 4
 
2.2%
8 4
 
2.2%
Other values (81) 130
70.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
1.6%
3 4
2.2%
4 6
3.3%
5 2
 
1.1%
6 3
1.6%
7 3
1.6%
8 4
2.2%
9 6
3.3%
ValueCountFrequency (%)
958 1
0.5%
702 1
0.5%
621 1
0.5%
496 1
0.5%
389 1
0.5%
352 1
0.5%
330 1
0.5%
303 1
0.5%
251 1
0.5%
232 1
0.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2022-12-31
184 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 184
100.0%

Length

2023-12-12T13:43:20.757042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:20.880780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 184
100.0%

Sample

토지소재지총면적총지번수전면적전지번수답면적답지번수과수원면적과수원지번수목장용지면적목장용지지번수임야면적임야지번수광천면적광천지번수염전면적염전지번수대면적대지번수공장용지면적공장용지지번수학교용지면적학교용지면적수주차장면적주차장면적수주유소용지면적주요소용지지번수창고용지면적창고용지지번수도로면적도로지번수철도용지면적철도용지지번수제방면적제방지번수하천면적하천지번수구거면적구거지번수유지면적유지지번수양어장면적양어장지번수수도용지면적수도용지지번수공원면적공원지번수체육용지면적체육용지지번수유원지면적유원지지번수종교용지면적종교용지지번수사적지면적사전지지번수묘지면적묘지지번수잡종지면적잡종지지번수데이터기준일자
0수성동2804947.13811149296.024749926.011210428.070.00854516.01660000945722.2257915905.02137886.93415581.4381585.843457.02380889.04630.0047.024533.21612397.0417663.0100.00424.23179833.4358539.030.009730.0148679.0207277.09631.042022-12-31
1장명동356009.986213131.5291431.640.000.00115102.0280000122151.85250.0033607.012101.010.00991.0149039.52030.000.00486.016893.5410.000.006813.070.000.000.006206.090.000.0056.012022-12-31
2상동2367105.25887260259.61117194511.5443164.010.00612275.01570000785914.223640.0084812.0125114.0121731.332191.08251476.712440.0024061.06841135.65154502.23530.000.005597.0108654.016287.070.0017090.8160.000.0011328.3202022-12-31
3시기동3340406.06255215958.9724196420.24130.000.001138187.32530000747369.532420.00113953.95720298.5461922.021165.04191674.110420.0043276.7129220087.413345372.91144116.040.000.00353295.0109489.016114.028835.7120.001206.0921663.9582022-12-31
4연지동1701021.8514182536.3337363805.412350.000.00163578.5630000564443.221030.0026066.7109511.9170.002497.610215081.7774107259.06532417.59463935.610339057.72381036.350.00174.020.004155.610.003003.770.000.0022461.1772022-12-31
5농소동3553385.4521079323.01492136744.028380.0012061.010130492.0330000255512.360312471.0613787.021950.028956.0911541.013463050.1112444354.02414100.03948685.050159343.02072854.0100.00995.020.000.000.001458.020.00116.01155593.0862022-12-31
6하모동1380149.21637145904.0331481377.04143524.011563.02258532.057000070360.01826627.0100.0029107.2140.004772.09106679.02575469.01231105.090161207.018344386.0600.0010000.050.000.000.000.0014100.030.000.005437.072022-12-31
7상평동4245043.64059336212.05811557741.411514980.0215391.071225582.02170000224570.26050.0020963.0186428.020.005902.28252983.183774140.0365842.011150933.3191166026.726510993.0146655.030.002307.01162610.7800.00448.010.00314.0114021.0282022-12-31
8과교동1883513.01724174661.0229594611.04970.004285.06679717.0214000087553.023712449.0413856.010.001975.023160.0380308.031666895.0115200.0980385.07156720.01040.009834.050.000.000.000.000.000.000.0011904.0152022-12-31
9삼산동3000531.02162160543.02261147423.27530.0015731.081124198.0165000052036.01521652.010.000.000.002736.04184443.63434770.0844144.0159145165.022285891.2996679.060.000.000.000.000.000.000.0022311.082808.082022-12-31
토지소재지총면적총지번수전면적전지번수답면적답지번수과수원면적과수원지번수목장용지면적목장용지지번수임야면적임야지번수광천면적광천지번수염전면적염전지번수대면적대지번수공장용지면적공장용지지번수학교용지면적학교용지면적수주차장면적주차장면적수주유소용지면적주요소용지지번수창고용지면적창고용지지번수도로면적도로지번수철도용지면적철도용지지번수제방면적제방지번수하천면적하천지번수구거면적구거지번수유지면적유지지번수양어장면적양어장지번수수도용지면적수도용지지번수공원면적공원지번수체육용지면적체육용지지번수유원지면적유원지지번수종교용지면적종교용지지번수사적지면적사전지지번수묘지면적묘지지번수잡종지면적잡종지지번수데이터기준일자
174종성리14946796.02479620380.0447252537.02034330.023416.0511692035.0748000082072.01590.005851.011128.010.00422.02151580.025153839.0100.0056147.0645250.0231939821.05910.000.000.000.008730.013692.030.0013984.01211582.0142022-12-31
175산외면62779711.3222103941298.044445622067.043985557.02192027.611847745979.036240000937054.221419281.01044609.083588.09828.0213213.0181319847.446980.00211088.15091179737.28251040851.8823259057.032110045.0412259.0430.001917.029960.011161.030.00108131.061110155.01462022-12-31
176정량리7608636.53669502305.06121125734.69460.0033892.7315055479.03670000150358.03471137.0118342.01869.02828.022296.07210572.68100.0052904.0116205832.0189169071.612323388.0240.0012259.0430.000.000.000.000.0016093.0627275.0422022-12-31
177평사리4565952.72113245595.0321471464.53670.002474.0103259383.02020000159021.13360.0017902.042719.070.003176.02176928.85960.0039744.06482716.49669014.97728763.0170.000.000.001917.020.000.000.00876.014258.0112022-12-31
178화죽리11370352.03826719322.0900492379.04960.0049046.0229192047.07010000107173.02658144.09526.010.000.002928.04297011.09790.0010129.029197863.0136158860.015356442.0660.000.000.000.009960.010.000.0019562.0848960.0562022-12-31
179동곡리5327384.02131267941.0397543878.04682962.019790.0114048157.02960000100759.02540.000.000.000.000.0096312.03190.0014881.050100310.07466513.010560135.01410.000.000.000.000.000.000.0012221.033525.0122022-12-31
180상두리12714906.13408720912.08141036412.97150.0022149.91010111353.07530000154856.13400.000.000.000.001214.01144399.04300.008055.125206620.8129219740.312666581.0450.000.000.000.000.00688.020.0017092.0154832.032022-12-31
181오공리8823012.03556495737.06031398485.07650.0016738.0165917367.04180000147105.03170.000.000.000.00659.01254821.08950.0072770.0190289474.0183180961.013211238.0140.000.000.000.000.000.000.0019856.0717801.0152022-12-31
182목욕리4613488.01655624806.0451271514.02842595.015332.013451088.0428000048121.01210.000.000.000.00644.0158128.02750.0012605.03556738.0755177.02510022.080.000.000.000.000.00473.010.0015453.015792.022022-12-31
183종산리7755980.01852364680.0346282199.03570.0052605.0176711105.0459000069661.01610.007839.020.000.002296.0281675.03940.000.0040183.011121514.0822488.0610045.040.000.000.000.000.000.006978.062712.052022-12-31