Overview

Dataset statistics

Number of variables60
Number of observations175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.7 KiB
Average record size in memory536.8 B

Variable types

Categorical7
Text1
Numeric52

Dataset

Description충청북도 충주시 지적 통계에 대한 데이터 제공(법정동 토지소재지, 전,답, 과수원, 목장, 임야, 광천지, 염전, 대, 공장용지등 면적 및 필지수)
Author충청북도 충주시
URLhttps://www.data.go.kr/data/3071689/fileData.do

Alerts

자치단체명 has constant value ""Constant
염전 면적 has constant value ""Constant
염전 필지수 has constant value ""Constant
담당부서 has constant value ""Constant
문의전화 has constant value ""Constant
광천지 면적 is highly imbalanced (91.0%)Imbalance
광천지 필지수 is highly imbalanced (91.0%)Imbalance
법정동 토지소재지 has unique valuesUnique
대 면적 has unique valuesUnique
도로 면적 has unique valuesUnique
하천 면적 has unique valuesUnique
전 면적 has 5 (2.9%) zerosZeros
전 필지수 has 5 (2.9%) zerosZeros
답 면적 has 4 (2.3%) zerosZeros
답 필지수 has 4 (2.3%) zerosZeros
과수원 면적 has 18 (10.3%) zerosZeros
과수원 필지수 has 18 (10.3%) zerosZeros
목장용지 면적 has 36 (20.6%) zerosZeros
목장용지 필지수 has 36 (20.6%) zerosZeros
임야 면적 has 6 (3.4%) zerosZeros
임야 필지수 has 6 (3.4%) zerosZeros
공장용지 면적 has 58 (33.1%) zerosZeros
공장용지 필지수 has 58 (33.1%) zerosZeros
학교용지 면적 has 89 (50.9%) zerosZeros
학교용지 필지수 has 89 (50.9%) zerosZeros
주차장 면적 has 82 (46.9%) zerosZeros
주차장 필지수 has 82 (46.9%) zerosZeros
주유소용지 면적 has 96 (54.9%) zerosZeros
주유소용지 필지수 has 96 (54.9%) zerosZeros
창고용지 면적 has 16 (9.1%) zerosZeros
창고용지 필지수 has 16 (9.1%) zerosZeros
철도용지 면적 has 149 (85.1%) zerosZeros
철도용지 지번수 has 149 (85.1%) zerosZeros
제방 면적 has 67 (38.3%) zerosZeros
제방 지번수 has 67 (38.3%) zerosZeros
구거 면적 has 5 (2.9%) zerosZeros
구거 지번수 has 5 (2.9%) zerosZeros
유지 면적 has 58 (33.1%) zerosZeros
유지 지번수 has 58 (33.1%) zerosZeros
양어장 면적 has 126 (72.0%) zerosZeros
양어장 필지수 has 126 (72.0%) zerosZeros
수도용지 면적 has 111 (63.4%) zerosZeros
수도용지 필지수 has 111 (63.4%) zerosZeros
공원 면적 has 127 (72.6%) zerosZeros
공원 지번수 has 127 (72.6%) zerosZeros
체육용지 면적 has 129 (73.7%) zerosZeros
체육용지 지번수 has 129 (73.7%) zerosZeros
유원지 면적 has 136 (77.7%) zerosZeros
유원지 지번수 has 136 (77.7%) zerosZeros
종교용지 면적 has 49 (28.0%) zerosZeros
종교용지 필지수 has 49 (28.0%) zerosZeros
사적지 면적 has 167 (95.4%) zerosZeros
사적지 지번수 has 167 (95.4%) zerosZeros
묘지 면적 has 16 (9.1%) zerosZeros
묘지 지번수 has 16 (9.1%) zerosZeros
잡종지 면적 has 14 (8.0%) zerosZeros
잡종지 필지수 has 14 (8.0%) zerosZeros

Reproduction

Analysis started2023-10-14 13:57:54.812991
Analysis finished2023-10-14 13:57:56.408149
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
충청북도 충주시
175 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 충주시
2nd row충청북도 충주시
3rd row충청북도 충주시
4th row충청북도 충주시
5th row충청북도 충주시

Common Values

ValueCountFrequency (%)
충청북도 충주시 175
100.0%

Length

2023-10-14T13:57:56.674311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-14T13:57:57.126039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 175
50.0%
충주시 175
50.0%

법정동 토지소재지
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-10-14T13:57:58.065793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.28
Min length2

Characters and Unicode

Total characters1099
Distinct characters146
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

Unique175 ?
Unique (%)100.0%

Sample

1st row성내동
2nd row성남동
3rd row성서동
4th row충인동
5th row교현동
ValueCountFrequency (%)
앙성면 16
 
5.1%
신니면 15
 
4.8%
살미면 14
 
4.5%
동량면 14
 
4.5%
대소원면 13
 
4.2%
주덕읍 12
 
3.9%
엄정면 12
 
3.9%
금가면 11
 
3.5%
소태면 10
 
3.2%
노은면 9
 
2.9%
Other values (165) 185
59.5%
2023-10-14T13:58:00.260479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 137
 
12.5%
리 136
 
12.4%
136
 
12.4%
동 48
 
4.4%
앙 25
 
2.3%
소 24
 
2.2%
신 23
 
2.1%
성 22
 
2.0%
대 19
 
1.7%
미 18
 
1.6%
Other values (136) 511
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 963
87.6%
Space Separator 136
 
12.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 137
 
14.2%
리 136
 
14.1%
동 48
 
5.0%
앙 25
 
2.6%
소 24
 
2.5%
신 23
 
2.4%
성 22
 
2.3%
대 19
 
2.0%
미 18
 
1.9%
원 17
 
1.8%
Other values (135) 494
51.3%
Space Separator
ValueCountFrequency (%)
136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 963
87.6%
Common 136
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 137
 
14.2%
리 136
 
14.1%
동 48
 
5.0%
앙 25
 
2.6%
소 24
 
2.5%
신 23
 
2.4%
성 22
 
2.3%
대 19
 
2.0%
미 18
 
1.9%
원 17
 
1.8%
Other values (135) 494
51.3%
Common
ValueCountFrequency (%)
136
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 963
87.6%
ASCII 136
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 137
 
14.2%
리 136
 
14.1%
동 48
 
5.0%
앙 25
 
2.6%
소 24
 
2.5%
신 23
 
2.4%
성 22
 
2.3%
대 19
 
2.0%
미 18
 
1.9%
원 17
 
1.8%
Other values (135) 494
51.3%
ASCII
ValueCountFrequency (%)
136
100.0%

전 면적
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean851242.39
Minimum0
Maximum6669306.5
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:01.283926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24385.8
Q1291402.2
median465292
Q3725898.5
95-th percentile5005223.2
Maximum6669306.5
Range6669306.5
Interquartile range (IQR)434496.3

Descriptive statistics

Standard deviation1356503.9
Coefficient of variation (CV)1.5935578
Kurtosis8.9840601
Mean851242.39
Median Absolute Deviation (MAD)199383
Skewness3.1449515
Sum1.4896742 × 108
Variance1.840103 × 1012
MonotonicityNot monotonic
2023-10-14T13:58:02.145118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.9%
287716.0 1
 
0.6%
3751203.0 1
 
0.6%
202769.0 1
 
0.6%
184963.0 1
 
0.6%
982857.0 1
 
0.6%
644121.0 1
 
0.6%
561543.0 1
 
0.6%
411292.0 1
 
0.6%
475942.0 1
 
0.6%
Other values (161) 161
92.0%
ValueCountFrequency (%)
0.0 5
2.9%
1586.0 1
 
0.6%
3050.0 1
 
0.6%
15270.0 1
 
0.6%
23256.0 1
 
0.6%
24870.0 1
 
0.6%
25607.0 1
 
0.6%
29045.0 1
 
0.6%
33577.0 1
 
0.6%
44602.0 1
 
0.6%
ValueCountFrequency (%)
6669306.5 1
0.6%
6565324.1 1
0.6%
6525827.3 1
0.6%
6080691.3 1
0.6%
5497443.0 1
0.6%
5475595.6 1
0.6%
5352492.5 1
0.6%
5222063.5 1
0.6%
5023150.5 1
0.6%
4997540.1 1
0.6%

전 필지수
Real number (ℝ)

ZEROS 

Distinct156
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671.8
Minimum0
Maximum5587
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:04.278845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.5
Q1264
median389
Q3534.5
95-th percentile3905.7
Maximum5587
Range5587
Interquartile range (IQR)270.5

Descriptive statistics

Standard deviation1050.8051
Coefficient of variation (CV)1.5641636
Kurtosis9.0631988
Mean671.8
Median Absolute Deviation (MAD)139
Skewness3.1610677
Sum117565
Variance1104191.3
MonotonicityNot monotonic
2023-10-14T13:58:05.289858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
2.9%
310 3
 
1.7%
246 3
 
1.7%
404 2
 
1.1%
330 2
 
1.1%
363 2
 
1.1%
38 2
 
1.1%
476 2
 
1.1%
470 2
 
1.1%
451 2
 
1.1%
Other values (146) 150
85.7%
ValueCountFrequency (%)
0 5
2.9%
3 1
 
0.6%
5 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
12 1
 
0.6%
19 1
 
0.6%
24 1
 
0.6%
38 2
 
1.1%
46 1
 
0.6%
ValueCountFrequency (%)
5587 1
0.6%
5006 1
0.6%
4714 1
0.6%
4517 1
0.6%
4372 1
0.6%
4195 1
0.6%
4162 1
0.6%
4027 1
0.6%
3912 1
0.6%
3903 1
0.6%

답 면적
Real number (ℝ)

ZEROS 

Distinct172
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean833686.04
Minimum0
Maximum9796998
Zeros4
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:06.023941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3307.5
Q1232030
median434460
Q3788193.25
95-th percentile4071712.3
Maximum9796998
Range9796998
Interquartile range (IQR)556163.25

Descriptive statistics

Standard deviation1463899.5
Coefficient of variation (CV)1.7559362
Kurtosis16.75392
Mean833686.04
Median Absolute Deviation (MAD)263599
Skewness3.9068402
Sum1.4589506 × 108
Variance2.1430018 × 1012
MonotonicityNot monotonic
2023-10-14T13:58:07.367845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
2.3%
10.0 1
 
0.6%
589684.0 1
 
0.6%
319305.0 1
 
0.6%
4850854.0 1
 
0.6%
645256.0 1
 
0.6%
698059.0 1
 
0.6%
1192102.0 1
 
0.6%
504948.0 1
 
0.6%
520409.0 1
 
0.6%
Other values (162) 162
92.6%
ValueCountFrequency (%)
0.0 4
2.3%
10.0 1
 
0.6%
11.0 1
 
0.6%
542.0 1
 
0.6%
984.0 1
 
0.6%
1722.0 1
 
0.6%
3987.0 1
 
0.6%
5990.0 1
 
0.6%
7718.0 1
 
0.6%
7788.0 1
 
0.6%
ValueCountFrequency (%)
9796998.0 1
0.6%
8335142.9 1
0.6%
8305296.6 1
0.6%
6122234.6 1
0.6%
5922709.0 1
0.6%
4900076.2 1
0.6%
4850854.0 1
0.6%
4710540.7 1
0.6%
4439422.7 1
0.6%
3914122.1 1
0.6%

답 필지수
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623.06857
Minimum0
Maximum6513
Zeros4
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:08.655175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.4
Q1206.5
median363
Q3547.5
95-th percentile3290.7
Maximum6513
Range6513
Interquartile range (IQR)341

Descriptive statistics

Standard deviation1019.633
Coefficient of variation (CV)1.6364699
Kurtosis13.000841
Mean623.06857
Median Absolute Deviation (MAD)170
Skewness3.5359146
Sum109037
Variance1039651.4
MonotonicityNot monotonic
2023-10-14T13:58:09.549631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.3%
2 3
 
1.7%
13 2
 
1.1%
116 2
 
1.1%
330 2
 
1.1%
233 2
 
1.1%
426 2
 
1.1%
399 2
 
1.1%
270 2
 
1.1%
364 2
 
1.1%
Other values (152) 152
86.9%
ValueCountFrequency (%)
0 4
2.3%
1 1
 
0.6%
2 3
1.7%
3 1
 
0.6%
5 1
 
0.6%
6 1
 
0.6%
13 2
1.1%
19 1
 
0.6%
22 1
 
0.6%
26 1
 
0.6%
ValueCountFrequency (%)
6513 1
0.6%
5234 1
0.6%
5149 1
0.6%
4439 1
0.6%
4306 1
0.6%
3875 1
0.6%
3764 1
0.6%
3603 1
0.6%
3521 1
0.6%
3192 1
0.6%

과수원 면적
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143386.1
Minimum0
Maximum2390311
Zeros18
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:10.602536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114886
median53474
Q3138723.55
95-th percentile737233.65
Maximum2390311
Range2390311
Interquartile range (IQR)123837.55

Descriptive statistics

Standard deviation275199.58
Coefficient of variation (CV)1.9192905
Kurtosis27.411868
Mean143386.1
Median Absolute Deviation (MAD)44370
Skewness4.4564242
Sum25092568
Variance7.573481 × 1010
MonotonicityNot monotonic
2023-10-14T13:58:11.613250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
10.3%
200179.0 1
 
0.6%
62467.0 1
 
0.6%
15098.0 1
 
0.6%
858865.0 1
 
0.6%
48436.0 1
 
0.6%
69226.0 1
 
0.6%
14674.0 1
 
0.6%
15223.0 1
 
0.6%
118694.0 1
 
0.6%
Other values (148) 148
84.6%
ValueCountFrequency (%)
0.0 18
10.3%
123.0 1
 
0.6%
1860.0 1
 
0.6%
2536.0 1
 
0.6%
2897.0 1
 
0.6%
3386.0 1
 
0.6%
5439.0 1
 
0.6%
6307.0 1
 
0.6%
7041.0 1
 
0.6%
7392.0 1
 
0.6%
ValueCountFrequency (%)
2390311.0 1
0.6%
1135343.9 1
0.6%
1125228.0 1
0.6%
935721.6 1
0.6%
931698.0 1
0.6%
884013.0 1
0.6%
858865.0 1
0.6%
801635.6 1
0.6%
764439.5 1
0.6%
725574.0 1
0.6%

과수원 필지수
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.051429
Minimum0
Maximum1489
Zeros18
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:12.325954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median24
Q365.5
95-th percentile346.7
Maximum1489
Range1489
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation156.90129
Coefficient of variation (CV)2.1188152
Kurtosis39.851526
Mean74.051429
Median Absolute Deviation (MAD)20
Skewness5.3815994
Sum12959
Variance24618.015
MonotonicityNot monotonic
2023-10-14T13:58:13.030691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
10.3%
25 5
 
2.9%
9 5
 
2.9%
14 4
 
2.3%
1 4
 
2.3%
3 4
 
2.3%
6 4
 
2.3%
12 4
 
2.3%
17 4
 
2.3%
11 4
 
2.3%
Other values (81) 119
68.0%
ValueCountFrequency (%)
0 18
10.3%
1 4
 
2.3%
2 3
 
1.7%
3 4
 
2.3%
4 3
 
1.7%
5 4
 
2.3%
6 4
 
2.3%
7 3
 
1.7%
8 2
 
1.1%
9 5
 
2.9%
ValueCountFrequency (%)
1489 1
0.6%
653 1
0.6%
618 1
0.6%
583 1
0.6%
495 1
0.6%
448 1
0.6%
420 1
0.6%
373 1
0.6%
367 1
0.6%
338 1
0.6%

목장용지 면적
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36868.57
Minimum0
Maximum502699
Zeros36
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:13.851270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11177
median8027
Q329490.05
95-th percentile161356.3
Maximum502699
Range502699
Interquartile range (IQR)28313.05

Descriptive statistics

Standard deviation77132.911
Coefficient of variation (CV)2.0921047
Kurtosis17.532689
Mean36868.57
Median Absolute Deviation (MAD)8027
Skewness3.8730689
Sum6451999.8
Variance5.949486 × 109
MonotonicityNot monotonic
2023-10-14T13:58:14.797852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
20.6%
95398.0 1
 
0.6%
118320.0 1
 
0.6%
9154.0 1
 
0.6%
175693.0 1
 
0.6%
115721.0 1
 
0.6%
13277.0 1
 
0.6%
55585.0 1
 
0.6%
2904.0 1
 
0.6%
502699.0 1
 
0.6%
Other values (130) 130
74.3%
ValueCountFrequency (%)
0.0 36
20.6%
180.0 1
 
0.6%
314.0 1
 
0.6%
495.0 1
 
0.6%
672.0 1
 
0.6%
900.0 1
 
0.6%
977.0 1
 
0.6%
990.0 1
 
0.6%
1050.0 1
 
0.6%
1304.0 1
 
0.6%
ValueCountFrequency (%)
502699.0 1
0.6%
484652.1 1
0.6%
411347.3 1
0.6%
350174.0 1
0.6%
256699.1 1
0.6%
204760.4 1
0.6%
201127.8 1
0.6%
199651.7 1
0.6%
175693.0 1
0.6%
155212.0 1
0.6%

목장용지 필지수
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.651429
Minimum0
Maximum245
Zeros36
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:15.898727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q312
95-th percentile57.3
Maximum245
Range245
Interquartile range (IQR)11

Descriptive statistics

Standard deviation27.812357
Coefficient of variation (CV)2.0373221
Kurtosis30.809713
Mean13.651429
Median Absolute Deviation (MAD)5
Skewness4.7955082
Sum2389
Variance773.52722
MonotonicityNot monotonic
2023-10-14T13:58:17.157981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 36
20.6%
3 21
12.0%
6 14
 
8.0%
2 13
 
7.4%
1 9
 
5.1%
10 7
 
4.0%
9 7
 
4.0%
5 7
 
4.0%
4 5
 
2.9%
8 5
 
2.9%
Other values (34) 51
29.1%
ValueCountFrequency (%)
0 36
20.6%
1 9
 
5.1%
2 13
 
7.4%
3 21
12.0%
4 5
 
2.9%
5 7
 
4.0%
6 14
 
8.0%
7 2
 
1.1%
8 5
 
2.9%
9 7
 
4.0%
ValueCountFrequency (%)
245 1
0.6%
142 1
0.6%
116 1
0.6%
97 1
0.6%
92 1
0.6%
91 1
0.6%
67 2
1.1%
58 1
0.6%
57 1
0.6%
55 1
0.6%

임야 면적
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6764446.3
Minimum0
Maximum73149592
Zeros6
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:17.897983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8013.4
Q11092450
median3349710
Q35834445.5
95-th percentile35108958
Maximum73149592
Range73149592
Interquartile range (IQR)4741995.5

Descriptive statistics

Standard deviation12333582
Coefficient of variation (CV)1.8232951
Kurtosis14.447756
Mean6764446.3
Median Absolute Deviation (MAD)2329618
Skewness3.7240151
Sum1.1837781 × 109
Variance1.5211724 × 1014
MonotonicityNot monotonic
2023-10-14T13:58:18.567645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
3.4%
1954398.0 1
 
0.6%
23277878.0 1
 
0.6%
689141.0 1
 
0.6%
3751305.0 1
 
0.6%
2607165.0 1
 
0.6%
2570295.0 1
 
0.6%
6057232.0 1
 
0.6%
2813440.0 1
 
0.6%
2834902.0 1
 
0.6%
Other values (160) 160
91.4%
ValueCountFrequency (%)
0.0 6
3.4%
139.0 1
 
0.6%
1988.0 1
 
0.6%
6052.0 1
 
0.6%
8854.0 1
 
0.6%
46240.0 1
 
0.6%
147008.0 1
 
0.6%
209712.0 1
 
0.6%
212809.0 1
 
0.6%
286844.0 1
 
0.6%
ValueCountFrequency (%)
73149592.1 1
0.6%
70215716.5 1
0.6%
63487085.6 1
0.6%
60009037.8 1
0.6%
59912738.4 1
0.6%
44452547.9 1
0.6%
42478240.0 1
0.6%
36644214.7 1
0.6%
36575468.9 1
0.6%
34480453.6 1
0.6%

임야 필지수
Real number (ℝ)

ZEROS 

Distinct142
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean357.97714
Minimum0
Maximum3623
Zeros6
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:19.469090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.3
Q1116.5
median192
Q3304
95-th percentile1811.1
Maximum3623
Range3623
Interquartile range (IQR)187.5

Descriptive statistics

Standard deviation578.40979
Coefficient of variation (CV)1.615773
Kurtosis12.496583
Mean357.97714
Median Absolute Deviation (MAD)93
Skewness3.4662223
Sum62646
Variance334557.88
MonotonicityNot monotonic
2023-10-14T13:58:20.108390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.4%
166 3
 
1.7%
189 3
 
1.7%
144 3
 
1.7%
99 2
 
1.1%
149 2
 
1.1%
217 2
 
1.1%
184 2
 
1.1%
164 2
 
1.1%
196 2
 
1.1%
Other values (132) 148
84.6%
ValueCountFrequency (%)
0 6
3.4%
1 1
 
0.6%
2 1
 
0.6%
5 1
 
0.6%
14 1
 
0.6%
19 2
 
1.1%
20 1
 
0.6%
22 1
 
0.6%
35 1
 
0.6%
41 1
 
0.6%
ValueCountFrequency (%)
3623 1
0.6%
3215 1
0.6%
2703 1
0.6%
2657 1
0.6%
2130 1
0.6%
2088 1
0.6%
2018 1
0.6%
2017 1
0.6%
1872 1
0.6%
1785 1
0.6%

광천지 면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
173 
3
 
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 (%)
0 173
98.9%
3 2
 
1.1%

Length

2023-10-14T13:58:20.727166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-14T13:58:21.339165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 173
98.9%
3 2
 
1.1%

광천지 필지수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
173 
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 (%)
0 173
98.9%
1 2
 
1.1%

Length

2023-10-14T13:58:22.111667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-14T13:58:22.585412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 173
98.9%
1 2
 
1.1%

염전 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
175 

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 (%)
0 175
100.0%

Length

2023-10-14T13:58:23.333477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-14T13:58:23.773614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 175
100.0%

염전 필지수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
175 

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 (%)
0 175
100.0%

Length

2023-10-14T13:58:24.605420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-14T13:58:25.182484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 175
100.0%

대 면적
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258475.59
Minimum0
Maximum1926912.9
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:27.254993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26001.6
Q186157
median114346.8
Q3193491.65
95-th percentile1179655.7
Maximum1926912.9
Range1926912.9
Interquartile range (IQR)107334.65

Descriptive statistics

Standard deviation379684.36
Coefficient of variation (CV)1.468937
Kurtosis7.002511
Mean258475.59
Median Absolute Deviation (MAD)40251.8
Skewness2.7018519
Sum45233228
Variance1.4416021 × 1011
MonotonicityNot monotonic
2023-10-14T13:58:29.513048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85034.0 1
 
0.6%
76742.0 1
 
0.6%
221583.0 1
 
0.6%
105480.0 1
 
0.6%
1697768.1 1
 
0.6%
144186.0 1
 
0.6%
97266.0 1
 
0.6%
165192.0 1
 
0.6%
139393.0 1
 
0.6%
141380.0 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
0.0 1
0.6%
1.0 1
0.6%
486.0 1
0.6%
499.0 1
0.6%
1094.0 1
0.6%
2586.0 1
0.6%
2764.0 1
0.6%
3531.0 1
0.6%
8762.0 1
0.6%
33390.0 1
0.6%
ValueCountFrequency (%)
1926912.9 1
0.6%
1836161.2 1
0.6%
1769368.3 1
0.6%
1720013.1 1
0.6%
1697768.1 1
0.6%
1315955.6 1
0.6%
1244314.6 1
0.6%
1227810.0 1
0.6%
1189390.1 1
0.6%
1175483.8 1
0.6%

대 필지수
Real number (ℝ)

Distinct146
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.15429
Minimum0
Maximum4330
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:30.333228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.8
Q1153.5
median220
Q3396
95-th percentile2241.3
Maximum4330
Range4330
Interquartile range (IQR)242.5

Descriptive statistics

Standard deviation728.96941
Coefficient of variation (CV)1.4933177
Kurtosis8.1529383
Mean488.15429
Median Absolute Deviation (MAD)93
Skewness2.8170939
Sum85427
Variance531396.41
MonotonicityNot monotonic
2023-10-14T13:58:31.556941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224 4
 
2.3%
184 3
 
1.7%
1 3
 
1.7%
100 3
 
1.7%
192 2
 
1.1%
95 2
 
1.1%
173 2
 
1.1%
2 2
 
1.1%
200 2
 
1.1%
187 2
 
1.1%
Other values (136) 150
85.7%
ValueCountFrequency (%)
0 1
 
0.6%
1 3
1.7%
2 2
1.1%
5 1
 
0.6%
6 1
 
0.6%
25 1
 
0.6%
39 1
 
0.6%
69 1
 
0.6%
74 1
 
0.6%
76 1
 
0.6%
ValueCountFrequency (%)
4330 1
0.6%
3395 1
0.6%
3301 1
0.6%
3183 1
0.6%
2842 1
0.6%
2506 1
0.6%
2450 1
0.6%
2353 1
0.6%
2242 1
0.6%
2241 1
0.6%

공장용지 면적
Real number (ℝ)

ZEROS 

Distinct118
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106141.92
Minimum0
Maximum3285286.9
Zeros58
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:32.456880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9899
Q360687
95-th percentile401319.24
Maximum3285286.9
Range3285286.9
Interquartile range (IQR)60687

Descriptive statistics

Standard deviation349899.62
Coefficient of variation (CV)3.2965263
Kurtosis47.019007
Mean106141.92
Median Absolute Deviation (MAD)9899
Skewness6.3254889
Sum18574836
Variance1.2242974 × 1011
MonotonicityNot monotonic
2023-10-14T13:58:33.584630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
33.1%
2202.0 1
 
0.6%
19300.0 1
 
0.6%
65440.0 1
 
0.6%
223498.3 1
 
0.6%
2157.0 1
 
0.6%
74574.0 1
 
0.6%
112904.0 1
 
0.6%
62018.0 1
 
0.6%
174059.8 1
 
0.6%
Other values (108) 108
61.7%
ValueCountFrequency (%)
0.0 58
33.1%
63.0 1
 
0.6%
395.0 1
 
0.6%
401.0 1
 
0.6%
976.0 1
 
0.6%
1660.0 1
 
0.6%
1664.0 1
 
0.6%
1685.0 1
 
0.6%
1736.0 1
 
0.6%
1763.0 1
 
0.6%
ValueCountFrequency (%)
3285286.9 1
0.6%
1966404.5 1
0.6%
1803806.8 1
0.6%
1448629.7 1
0.6%
827015.6 1
0.6%
630028.3 1
0.6%
569605.1 1
0.6%
554113.3 1
0.6%
449801.8 1
0.6%
380541.0 1
0.6%

공장용지 필지수
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.074286
Minimum0
Maximum281
Zeros58
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:34.296958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q320
95-th percentile81.6
Maximum281
Range281
Interquartile range (IQR)20

Descriptive statistics

Standard deviation38.719299
Coefficient of variation (CV)2.1422312
Kurtosis21.722741
Mean18.074286
Median Absolute Deviation (MAD)4
Skewness4.2374464
Sum3163
Variance1499.1841
MonotonicityNot monotonic
2023-10-14T13:58:34.976499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
33.1%
4 11
 
6.3%
2 11
 
6.3%
1 10
 
5.7%
3 7
 
4.0%
22 6
 
3.4%
5 4
 
2.3%
20 4
 
2.3%
10 3
 
1.7%
11 3
 
1.7%
Other values (42) 58
33.1%
ValueCountFrequency (%)
0 58
33.1%
1 10
 
5.7%
2 11
 
6.3%
3 7
 
4.0%
4 11
 
6.3%
5 4
 
2.3%
6 3
 
1.7%
7 3
 
1.7%
8 1
 
0.6%
9 2
 
1.1%
ValueCountFrequency (%)
281 1
0.6%
246 1
0.6%
207 1
0.6%
156 1
0.6%
107 1
0.6%
98 1
0.6%
91 1
0.6%
87 1
0.6%
83 1
0.6%
81 2
1.1%

학교용지 면적
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25598.858
Minimum0
Maximum465870.3
Zeros89
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:35.564043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317027.5
95-th percentile107251.83
Maximum465870.3
Range465870.3
Interquartile range (IQR)17027.5

Descriptive statistics

Standard deviation69295.693
Coefficient of variation (CV)2.7069838
Kurtosis20.784134
Mean25598.858
Median Absolute Deviation (MAD)0
Skewness4.4227291
Sum4479800.1
Variance4.801893 × 109
MonotonicityNot monotonic
2023-10-14T13:58:36.230232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 89
50.9%
6136.0 2
 
1.1%
107118.3 1
 
0.6%
9680.0 1
 
0.6%
678.0 1
 
0.6%
8751.0 1
 
0.6%
7039.0 1
 
0.6%
26148.0 1
 
0.6%
43851.3 1
 
0.6%
39635.0 1
 
0.6%
Other values (76) 76
43.4%
ValueCountFrequency (%)
0.0 89
50.9%
87.0 1
 
0.6%
589.0 1
 
0.6%
678.0 1
 
0.6%
710.0 1
 
0.6%
1697.0 1
 
0.6%
1747.0 1
 
0.6%
2211.0 1
 
0.6%
3570.0 1
 
0.6%
4274.0 1
 
0.6%
ValueCountFrequency (%)
465870.3 1
0.6%
391717.0 1
0.6%
369970.0 1
0.6%
348041.0 1
0.6%
333244.0 1
0.6%
241666.9 1
0.6%
177479.4 1
0.6%
127606.2 1
0.6%
107563.4 1
0.6%
107118.3 1
0.6%

학교용지 필지수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3771429
Minimum0
Maximum39
Zeros89
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:36.785885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile18.3
Maximum39
Range39
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.3468286
Coefficient of variation (CV)1.8793486
Kurtosis10.498583
Mean3.3771429
Median Absolute Deviation (MAD)0
Skewness2.9798235
Sum591
Variance40.282233
MonotonicityNot monotonic
2023-10-14T13:58:37.856843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 89
50.9%
1 18
 
10.3%
3 10
 
5.7%
2 10
 
5.7%
4 8
 
4.6%
5 6
 
3.4%
6 5
 
2.9%
7 5
 
2.9%
10 4
 
2.3%
19 3
 
1.7%
Other values (12) 17
 
9.7%
ValueCountFrequency (%)
0 89
50.9%
1 18
 
10.3%
2 10
 
5.7%
3 10
 
5.7%
4 8
 
4.6%
5 6
 
3.4%
6 5
 
2.9%
7 5
 
2.9%
8 3
 
1.7%
9 1
 
0.6%
ValueCountFrequency (%)
39 1
 
0.6%
36 1
 
0.6%
24 2
1.1%
23 1
 
0.6%
22 1
 
0.6%
19 3
1.7%
18 1
 
0.6%
17 1
 
0.6%
14 2
1.1%
13 1
 
0.6%

주차장 면적
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333.1629
Minimum0
Maximum61786.5
Zeros82
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:38.485562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median212
Q33860.5
95-th percentile13186.35
Maximum61786.5
Range61786.5
Interquartile range (IQR)3860.5

Descriptive statistics

Standard deviation7199.3506
Coefficient of variation (CV)2.1599156
Kurtosis29.547708
Mean3333.1629
Median Absolute Deviation (MAD)212
Skewness4.6892021
Sum583303.5
Variance51830649
MonotonicityNot monotonic
2023-10-14T13:58:39.176946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 82
46.9%
2015.0 1
 
0.6%
9026.0 1
 
0.6%
7405.0 1
 
0.6%
6452.0 1
 
0.6%
882.0 1
 
0.6%
23624.0 1
 
0.6%
3030.0 1
 
0.6%
159.0 1
 
0.6%
176.0 1
 
0.6%
Other values (84) 84
48.0%
ValueCountFrequency (%)
0.0 82
46.9%
53.0 1
 
0.6%
148.0 1
 
0.6%
159.0 1
 
0.6%
163.0 1
 
0.6%
176.0 1
 
0.6%
212.0 1
 
0.6%
242.0 1
 
0.6%
323.0 1
 
0.6%
400.0 1
 
0.6%
ValueCountFrequency (%)
61786.5 1
0.6%
40931.8 1
0.6%
29639.2 1
0.6%
23624.0 1
0.6%
23030.8 1
0.6%
22095.4 1
0.6%
17915.0 1
0.6%
15913.0 1
0.6%
13676.0 1
0.6%
12976.5 1
0.6%

주차장 필지수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1428571
Minimum0
Maximum47
Zeros82
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:39.987751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile13.3
Maximum47
Range47
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.656564
Coefficient of variation (CV)1.7998158
Kurtosis21.467777
Mean3.1428571
Median Absolute Deviation (MAD)1
Skewness3.7304447
Sum550
Variance31.996716
MonotonicityNot monotonic
2023-10-14T13:58:40.714094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 82
46.9%
1 23
 
13.1%
2 12
 
6.9%
4 11
 
6.3%
5 7
 
4.0%
3 7
 
4.0%
6 5
 
2.9%
11 4
 
2.3%
10 3
 
1.7%
12 3
 
1.7%
Other values (12) 18
 
10.3%
ValueCountFrequency (%)
0 82
46.9%
1 23
 
13.1%
2 12
 
6.9%
3 7
 
4.0%
4 11
 
6.3%
5 7
 
4.0%
6 5
 
2.9%
7 3
 
1.7%
8 3
 
1.7%
9 2
 
1.1%
ValueCountFrequency (%)
47 1
 
0.6%
23 1
 
0.6%
22 1
 
0.6%
19 1
 
0.6%
17 1
 
0.6%
16 1
 
0.6%
15 1
 
0.6%
14 2
1.1%
13 1
 
0.6%
12 3
1.7%

주유소용지 면적
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2113.3617
Minimum0
Maximum23519
Zeros96
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:41.267164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32380
95-th percentile10161.87
Maximum23519
Range23519
Interquartile range (IQR)2380

Descriptive statistics

Standard deviation3925.0124
Coefficient of variation (CV)1.8572364
Kurtosis7.9100621
Mean2113.3617
Median Absolute Deviation (MAD)0
Skewness2.6183172
Sum369838.3
Variance15405722
MonotonicityNot monotonic
2023-10-14T13:58:41.918404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 96
54.9%
886.0 1
 
0.6%
1332.0 1
 
0.6%
3751.0 1
 
0.6%
10870.9 1
 
0.6%
7650.0 1
 
0.6%
1068.0 1
 
0.6%
1201.0 1
 
0.6%
207.0 1
 
0.6%
3459.0 1
 
0.6%
Other values (70) 70
40.0%
ValueCountFrequency (%)
0.0 96
54.9%
110.0 1
 
0.6%
207.0 1
 
0.6%
261.0 1
 
0.6%
295.0 1
 
0.6%
415.0 1
 
0.6%
440.2 1
 
0.6%
492.0 1
 
0.6%
500.0 1
 
0.6%
521.0 1
 
0.6%
ValueCountFrequency (%)
23519.0 1
0.6%
18937.0 1
0.6%
16563.0 1
0.6%
15237.0 1
0.6%
13486.2 1
0.6%
12683.0 1
0.6%
12461.0 1
0.6%
11084.0 1
0.6%
10870.9 1
0.6%
9858.0 1
0.6%

주유소용지 필지수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum0
Maximum26
Zeros96
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:42.721951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.0951331
Coefficient of variation (CV)1.8614241
Kurtosis12.037185
Mean2.2
Median Absolute Deviation (MAD)0
Skewness3.0483962
Sum385
Variance16.770115
MonotonicityNot monotonic
2023-10-14T13:58:43.355723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 96
54.9%
1 21
 
12.0%
2 17
 
9.7%
7 8
 
4.6%
5 8
 
4.6%
6 6
 
3.4%
4 4
 
2.3%
3 2
 
1.1%
9 2
 
1.1%
12 2
 
1.1%
Other values (8) 9
 
5.1%
ValueCountFrequency (%)
0 96
54.9%
1 21
 
12.0%
2 17
 
9.7%
3 2
 
1.1%
4 4
 
2.3%
5 8
 
4.6%
6 6
 
3.4%
7 8
 
4.6%
8 1
 
0.6%
9 2
 
1.1%
ValueCountFrequency (%)
26 1
0.6%
25 1
0.6%
16 1
0.6%
15 1
0.6%
13 1
0.6%
12 2
1.1%
11 1
0.6%
10 2
1.1%
9 2
1.1%
8 1
0.6%

창고용지 면적
Real number (ℝ)

ZEROS 

Distinct160
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12411.648
Minimum0
Maximum122166
Zeros16
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:43.919823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12064.5
median4808
Q312107.85
95-th percentile62502.67
Maximum122166
Range122166
Interquartile range (IQR)10043.35

Descriptive statistics

Standard deviation20806.24
Coefficient of variation (CV)1.6763479
Kurtosis10.056493
Mean12411.648
Median Absolute Deviation (MAD)3957
Skewness3.0559363
Sum2172038.4
Variance4.3289963 × 108
MonotonicityNot monotonic
2023-10-14T13:58:44.873082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
9.1%
1172.0 1
 
0.6%
4922.0 1
 
0.6%
77450.0 1
 
0.6%
8016.0 1
 
0.6%
2090.0 1
 
0.6%
21138.0 1
 
0.6%
9919.0 1
 
0.6%
20364.0 1
 
0.6%
5461.0 1
 
0.6%
Other values (150) 150
85.7%
ValueCountFrequency (%)
0.0 16
9.1%
228.0 1
 
0.6%
325.0 1
 
0.6%
425.0 1
 
0.6%
448.0 1
 
0.6%
473.1 1
 
0.6%
500.0 1
 
0.6%
540.0 1
 
0.6%
543.0 1
 
0.6%
597.0 1
 
0.6%
ValueCountFrequency (%)
122166.0 1
0.6%
109057.7 1
0.6%
106958.9 1
0.6%
81306.0 1
0.6%
77450.0 1
0.6%
72990.4 1
0.6%
71016.4 1
0.6%
66982.6 1
0.6%
62616.0 1
0.6%
62454.1 1
0.6%

창고용지 필지수
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.508571
Minimum0
Maximum120
Zeros16
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:45.894919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median7
Q314
95-th percentile74.6
Maximum120
Range120
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation22.5105
Coefficient of variation (CV)1.5515311
Kurtosis8.681213
Mean14.508571
Median Absolute Deviation (MAD)5
Skewness2.9630001
Sum2539
Variance506.72263
MonotonicityNot monotonic
2023-10-14T13:58:46.546093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 16
 
9.1%
5 14
 
8.0%
9 13
 
7.4%
6 12
 
6.9%
3 11
 
6.3%
7 11
 
6.3%
12 9
 
5.1%
1 9
 
5.1%
8 8
 
4.6%
4 8
 
4.6%
Other values (31) 64
36.6%
ValueCountFrequency (%)
0 16
9.1%
1 9
5.1%
2 8
4.6%
3 11
6.3%
4 8
4.6%
5 14
8.0%
6 12
6.9%
7 11
6.3%
8 8
4.6%
9 13
7.4%
ValueCountFrequency (%)
120 1
0.6%
118 1
0.6%
108 1
0.6%
93 1
0.6%
89 1
0.6%
87 1
0.6%
81 1
0.6%
80 1
0.6%
76 1
0.6%
74 1
0.6%

도로 면적
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean411442.3
Minimum0
Maximum3638983.1
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:47.359957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29362.4
Q1124918.5
median216436.9
Q3371275.85
95-th percentile2021955
Maximum3638983.1
Range3638983.1
Interquartile range (IQR)246357.35

Descriptive statistics

Standard deviation646293.66
Coefficient of variation (CV)1.5708002
Kurtosis10.705925
Mean411442.3
Median Absolute Deviation (MAD)114373.9
Skewness3.2720179
Sum72002402
Variance4.176955 × 1011
MonotonicityNot monotonic
2023-10-14T13:58:48.283630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30127.0 1
 
0.6%
23029.0 1
 
0.6%
421303.0 1
 
0.6%
102063.0 1
 
0.6%
3552350.2 1
 
0.6%
244794.0 1
 
0.6%
158891.0 1
 
0.6%
538822.3 1
 
0.6%
362326.0 1
 
0.6%
804674.0 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
0.0 1
0.6%
5820.0 1
0.6%
5962.0 1
0.6%
14332.0 1
0.6%
17633.0 1
0.6%
22498.0 1
0.6%
23029.0 1
0.6%
24417.0 1
0.6%
29032.0 1
0.6%
29504.0 1
0.6%
ValueCountFrequency (%)
3638983.1 1
0.6%
3552350.2 1
0.6%
3078942.0 1
0.6%
2927068.0 1
0.6%
2753863.0 1
0.6%
2546920.6 1
0.6%
2327211.2 1
0.6%
2323096.5 1
0.6%
2279465.2 1
0.6%
1911593.5 1
0.6%

도로 필지수
Real number (ℝ)

Distinct163
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean616.81143
Minimum0
Maximum5077
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:49.246063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69.4
Q1225.5
median325
Q3550.5
95-th percentile3275.5
Maximum5077
Range5077
Interquartile range (IQR)325

Descriptive statistics

Standard deviation922.39904
Coefficient of variation (CV)1.4954312
Kurtosis9.7233895
Mean616.81143
Median Absolute Deviation (MAD)156
Skewness3.1883162
Sum107942
Variance850819.98
MonotonicityNot monotonic
2023-10-14T13:58:50.284319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324 3
 
1.7%
254 2
 
1.1%
295 2
 
1.1%
371 2
 
1.1%
227 2
 
1.1%
15 2
 
1.1%
299 2
 
1.1%
193 2
 
1.1%
273 2
 
1.1%
251 2
 
1.1%
Other values (153) 154
88.0%
ValueCountFrequency (%)
0 1
0.6%
3 1
0.6%
7 1
0.6%
15 2
1.1%
27 1
0.6%
33 1
0.6%
50 1
0.6%
61 1
0.6%
73 1
0.6%
74 1
0.6%
ValueCountFrequency (%)
5077 1
0.6%
4879 1
0.6%
4281 1
0.6%
3858 1
0.6%
3832 1
0.6%
3789 1
0.6%
3599 1
0.6%
3379 1
0.6%
3370 1
0.6%
3235 1
0.6%

철도용지 면적
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13641.667
Minimum0
Maximum348998.4
Zeros149
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:51.082101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile92841.26
Maximum348998.4
Range348998.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49021.78
Coefficient of variation (CV)3.5935328
Kurtosis21.417912
Mean13641.667
Median Absolute Deviation (MAD)0
Skewness4.4717374
Sum2387291.8
Variance2.4031349 × 109
MonotonicityNot monotonic
2023-10-14T13:58:51.786380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 149
85.1%
239518.0 2
 
1.1%
1249.0 2
 
1.1%
664.0 1
 
0.6%
23990.0 1
 
0.6%
250668.0 1
 
0.6%
74340.4 1
 
0.6%
348998.4 1
 
0.6%
131388.0 1
 
0.6%
39055.0 1
 
0.6%
Other values (15) 15
 
8.6%
ValueCountFrequency (%)
0.0 149
85.1%
195.0 1
 
0.6%
664.0 1
 
0.6%
1249.0 2
 
1.1%
4971.0 1
 
0.6%
20074.0 1
 
0.6%
22426.0 1
 
0.6%
22540.0 1
 
0.6%
23990.0 1
 
0.6%
29377.0 1
 
0.6%
ValueCountFrequency (%)
348998.4 1
0.6%
250668.0 1
0.6%
239518.0 2
1.1%
213057.0 1
0.6%
178125.2 1
0.6%
131388.0 1
0.6%
108932.8 1
0.6%
101555.0 1
0.6%
89106.8 1
0.6%
86578.0 1
0.6%

철도용지 지번수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.977143
Minimum0
Maximum355
Zeros149
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:52.635360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile103.6
Maximum355
Range355
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.134526
Coefficient of variation (CV)3.3474026
Kurtosis19.209498
Mean14.977143
Median Absolute Deviation (MAD)0
Skewness4.1799398
Sum2621
Variance2513.4707
MonotonicityNot monotonic
2023-10-14T13:58:53.150428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 149
85.1%
5 3
 
1.7%
21 2
 
1.1%
188 2
 
1.1%
75 1
 
0.6%
160 1
 
0.6%
53 1
 
0.6%
234 1
 
0.6%
268 1
 
0.6%
46 1
 
0.6%
Other values (13) 13
 
7.4%
ValueCountFrequency (%)
0 149
85.1%
5 3
 
1.7%
15 1
 
0.6%
18 1
 
0.6%
21 2
 
1.1%
23 1
 
0.6%
36 1
 
0.6%
46 1
 
0.6%
53 1
 
0.6%
70 1
 
0.6%
ValueCountFrequency (%)
355 1
0.6%
268 1
0.6%
234 1
0.6%
189 1
0.6%
188 2
1.1%
161 1
0.6%
160 1
0.6%
105 1
0.6%
103 1
0.6%
98 1
0.6%

제방 면적
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20610.539
Minimum0
Maximum293029
Zeros67
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:53.966380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2397
Q324428.5
95-th percentile97951.4
Maximum293029
Range293029
Interquartile range (IQR)24428.5

Descriptive statistics

Standard deviation40685.242
Coefficient of variation (CV)1.9740018
Kurtosis14.794741
Mean20610.539
Median Absolute Deviation (MAD)2397
Skewness3.3848445
Sum3606844.4
Variance1.6552889 × 109
MonotonicityNot monotonic
2023-10-14T13:58:54.864909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 67
38.3%
2716.0 1
 
0.6%
9638.0 1
 
0.6%
2708.0 1
 
0.6%
240.0 1
 
0.6%
63511.0 1
 
0.6%
75286.0 1
 
0.6%
141999.0 1
 
0.6%
79784.0 1
 
0.6%
30810.0 1
 
0.6%
Other values (99) 99
56.6%
ValueCountFrequency (%)
0.0 67
38.3%
46.0 1
 
0.6%
99.0 1
 
0.6%
125.0 1
 
0.6%
238.0 1
 
0.6%
240.0 1
 
0.6%
248.0 1
 
0.6%
254.0 1
 
0.6%
352.0 1
 
0.6%
479.0 1
 
0.6%
ValueCountFrequency (%)
293029.0 1
0.6%
213178.9 1
0.6%
149040.6 1
0.6%
143285.0 1
0.6%
141999.0 1
0.6%
136891.0 1
0.6%
123079.0 1
0.6%
120166.0 1
0.6%
99707.0 1
0.6%
97199.0 1
0.6%

제방 지번수
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.748571
Minimum0
Maximum376
Zeros67
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:55.823839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q330.5
95-th percentile135
Maximum376
Range376
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation55.426608
Coefficient of variation (CV)1.9974581
Kurtosis15.226166
Mean27.748571
Median Absolute Deviation (MAD)5
Skewness3.594851
Sum4856
Variance3072.1088
MonotonicityNot monotonic
2023-10-14T13:58:57.125693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
38.3%
1 9
 
5.1%
2 7
 
4.0%
6 5
 
2.9%
13 4
 
2.3%
39 4
 
2.3%
9 4
 
2.3%
30 4
 
2.3%
33 3
 
1.7%
18 3
 
1.7%
Other values (49) 65
37.1%
ValueCountFrequency (%)
0 67
38.3%
1 9
 
5.1%
2 7
 
4.0%
3 2
 
1.1%
4 2
 
1.1%
5 2
 
1.1%
6 5
 
2.9%
7 1
 
0.6%
8 2
 
1.1%
9 4
 
2.3%
ValueCountFrequency (%)
376 1
0.6%
299 1
0.6%
282 1
0.6%
227 1
0.6%
213 1
0.6%
206 1
0.6%
151 1
0.6%
146 1
0.6%
142 1
0.6%
132 1
0.6%

하천 면적
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407465.36
Minimum271
Maximum5790693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:58:58.638605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum271
5-th percentile3365.5
Q163390.25
median146459
Q3372126.5
95-th percentile1559212.4
Maximum5790693
Range5790422
Interquartile range (IQR)308736.25

Descriptive statistics

Standard deviation798570.61
Coefficient of variation (CV)1.9598491
Kurtosis21.050404
Mean407465.36
Median Absolute Deviation (MAD)111127.9
Skewness4.2524292
Sum71306438
Variance6.3771503 × 1011
MonotonicityNot monotonic
2023-10-14T13:58:59.434086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12251.0 1
 
0.6%
1276.0 1
 
0.6%
327551.0 1
 
0.6%
1038633.0 1
 
0.6%
4936753.0 1
 
0.6%
559895.0 1
 
0.6%
270361.0 1
 
0.6%
721736.0 1
 
0.6%
2125791.0 1
 
0.6%
99673.0 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
271.0 1
0.6%
311.0 1
0.6%
1276.0 1
0.6%
1287.0 1
0.6%
1691.0 1
0.6%
1735.0 1
0.6%
1874.0 1
0.6%
2055.0 1
0.6%
2480.0 1
0.6%
3745.0 1
0.6%
ValueCountFrequency (%)
5790693.0 1
0.6%
4936753.0 1
0.6%
4115455.4 1
0.6%
3550766.8 1
0.6%
3260217.0 1
0.6%
2171433.4 1
0.6%
2125791.0 1
0.6%
1952366.5 1
0.6%
1889566.6 1
0.6%
1417632.1 1
0.6%

하천 지번수
Real number (ℝ)

Distinct99
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.302857
Minimum1
Maximum1206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:00.569995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q124
median48
Q381
95-th percentile422.8
Maximum1206
Range1205
Interquartile range (IQR)57

Descriptive statistics

Standard deviation171.3676
Coefficient of variation (CV)1.7981371
Kurtosis20.860359
Mean95.302857
Median Absolute Deviation (MAD)27
Skewness4.257437
Sum16678
Variance29366.856
MonotonicityNot monotonic
2023-10-14T13:59:02.374184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 6
 
3.4%
46 5
 
2.9%
32 5
 
2.9%
48 4
 
2.3%
62 4
 
2.3%
60 4
 
2.3%
24 4
 
2.3%
28 4
 
2.3%
76 4
 
2.3%
1 3
 
1.7%
Other values (89) 132
75.4%
ValueCountFrequency (%)
1 3
1.7%
2 2
 
1.1%
3 2
 
1.1%
4 1
 
0.6%
5 2
 
1.1%
6 3
1.7%
7 3
1.7%
8 2
 
1.1%
11 3
1.7%
14 6
3.4%
ValueCountFrequency (%)
1206 1
0.6%
1171 1
0.6%
788 1
0.6%
667 1
0.6%
643 1
0.6%
570 1
0.6%
559 1
0.6%
528 1
0.6%
490 1
0.6%
394 1
0.6%

구거 면적
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156425.07
Minimum0
Maximum1497088
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:04.080397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4690
Q145878.5
median89347
Q3133282.05
95-th percentile794205.01
Maximum1497088
Range1497088
Interquartile range (IQR)87403.55

Descriptive statistics

Standard deviation259739.15
Coefficient of variation (CV)1.6604701
Kurtosis12.142833
Mean156425.07
Median Absolute Deviation (MAD)43826
Skewness3.4709344
Sum27374388
Variance6.7464427 × 1010
MonotonicityNot monotonic
2023-10-14T13:59:06.195455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.9%
60493.0 1
 
0.6%
987032.8 1
 
0.6%
112985.0 1
 
0.6%
80090.0 1
 
0.6%
191695.6 1
 
0.6%
140570.0 1
 
0.6%
173504.0 1
 
0.6%
99487.2 1
 
0.6%
128208.0 1
 
0.6%
Other values (161) 161
92.0%
ValueCountFrequency (%)
0.0 5
2.9%
116.0 1
 
0.6%
2828.0 1
 
0.6%
4047.0 1
 
0.6%
4648.0 1
 
0.6%
4708.0 1
 
0.6%
7017.6 1
 
0.6%
8035.0 1
 
0.6%
8208.0 1
 
0.6%
8323.0 1
 
0.6%
ValueCountFrequency (%)
1497088.0 1
0.6%
1355370.4 1
0.6%
1330287.0 1
0.6%
1263604.9 1
0.6%
1228085.7 1
0.6%
987032.8 1
0.6%
917963.0 1
0.6%
855977.5 1
0.6%
808468.0 1
0.6%
788092.3 1
0.6%

구거 지번수
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.44571
Minimum0
Maximum1321
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:07.210075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q126
median58
Q3127.5
95-th percentile727.4
Maximum1321
Range1321
Interquartile range (IQR)101.5

Descriptive statistics

Standard deviation219.78183
Coefficient of variation (CV)1.6978687
Kurtosis10.756005
Mean129.44571
Median Absolute Deviation (MAD)44
Skewness3.2387701
Sum22653
Variance48304.053
MonotonicityNot monotonic
2023-10-14T13:59:08.039600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
2.9%
26 4
 
2.3%
37 4
 
2.3%
30 4
 
2.3%
6 4
 
2.3%
36 3
 
1.7%
7 3
 
1.7%
5 3
 
1.7%
80 3
 
1.7%
43 3
 
1.7%
Other values (113) 139
79.4%
ValueCountFrequency (%)
0 5
2.9%
1 1
 
0.6%
2 1
 
0.6%
3 1
 
0.6%
4 2
 
1.1%
5 3
1.7%
6 4
2.3%
7 3
1.7%
8 1
 
0.6%
9 3
1.7%
ValueCountFrequency (%)
1321 1
0.6%
1104 1
0.6%
974 1
0.6%
963 2
1.1%
881 1
0.6%
784 1
0.6%
735 1
0.6%
733 1
0.6%
725 1
0.6%
637 1
0.6%

유지 면적
Real number (ℝ)

ZEROS 

Distinct118
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346594.59
Minimum0
Maximum11904485
Zeros58
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:08.745797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4804
Q3162566.5
95-th percentile1457909.8
Maximum11904485
Range11904485
Interquartile range (IQR)162566.5

Descriptive statistics

Standard deviation1326710.2
Coefficient of variation (CV)3.8278446
Kurtosis59.445548
Mean346594.59
Median Absolute Deviation (MAD)4804
Skewness7.3509845
Sum60654052
Variance1.7601599 × 1012
MonotonicityNot monotonic
2023-10-14T13:59:09.411017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
33.1%
147579.9 1
 
0.6%
1250942.0 1
 
0.6%
199453.0 1
 
0.6%
11904485.0 1
 
0.6%
407.0 1
 
0.6%
164908.0 1
 
0.6%
108149.0 1
 
0.6%
4756.5 1
 
0.6%
249986.0 1
 
0.6%
Other values (108) 108
61.7%
ValueCountFrequency (%)
0.0 58
33.1%
9.0 1
 
0.6%
53.0 1
 
0.6%
91.0 1
 
0.6%
103.0 1
 
0.6%
195.0 1
 
0.6%
277.0 1
 
0.6%
310.0 1
 
0.6%
407.0 1
 
0.6%
420.0 1
 
0.6%
ValueCountFrequency (%)
11904485.0 1
0.6%
11290662.0 1
0.6%
4552378.0 1
0.6%
2294436.0 1
0.6%
2088188.0 1
0.6%
1963693.0 1
0.6%
1848083.0 1
0.6%
1724700.0 1
0.6%
1568234.0 1
0.6%
1410628.0 1
0.6%

유지 지번수
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.36
Minimum0
Maximum1562
Zeros58
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:10.599059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329
95-th percentile218.2
Maximum1562
Range1562
Interquartile range (IQR)29

Descriptive statistics

Standard deviation168.55475
Coefficient of variation (CV)3.2818292
Kurtosis58.487182
Mean51.36
Median Absolute Deviation (MAD)4
Skewness7.1738092
Sum8988
Variance28410.703
MonotonicityNot monotonic
2023-10-14T13:59:11.747947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
33.1%
1 16
 
9.1%
2 7
 
4.0%
5 6
 
3.4%
3 5
 
2.9%
6 5
 
2.9%
15 4
 
2.3%
7 3
 
1.7%
45 3
 
1.7%
14 3
 
1.7%
Other values (52) 65
37.1%
ValueCountFrequency (%)
0 58
33.1%
1 16
 
9.1%
2 7
 
4.0%
3 5
 
2.9%
4 2
 
1.1%
5 6
 
3.4%
6 5
 
2.9%
7 3
 
1.7%
8 3
 
1.7%
9 2
 
1.1%
ValueCountFrequency (%)
1562 1
0.6%
1379 1
0.6%
373 1
0.6%
363 1
0.6%
334 1
0.6%
254 1
0.6%
249 1
0.6%
239 1
0.6%
235 1
0.6%
211 1
0.6%

양어장 면적
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2674.7086
Minimum0
Maximum107133
Zeros126
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:12.487385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31792.5
95-th percentile11232.9
Maximum107133
Range107133
Interquartile range (IQR)1792.5

Descriptive statistics

Standard deviation10669.726
Coefficient of variation (CV)3.9891171
Kurtosis71.477785
Mean2674.7086
Median Absolute Deviation (MAD)0
Skewness8.0669942
Sum468074
Variance1.1384305 × 108
MonotonicityNot monotonic
2023-10-14T13:59:13.401031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 126
72.0%
8225 2
 
1.1%
3745 1
 
0.6%
812 1
 
0.6%
751 1
 
0.6%
9710 1
 
0.6%
3052 1
 
0.6%
2945 1
 
0.6%
3713 1
 
0.6%
11970 1
 
0.6%
Other values (39) 39
 
22.3%
ValueCountFrequency (%)
0 126
72.0%
650 1
 
0.6%
751 1
 
0.6%
812 1
 
0.6%
1424 1
 
0.6%
1521 1
 
0.6%
2064 1
 
0.6%
2150 1
 
0.6%
2401 1
 
0.6%
2584 1
 
0.6%
ValueCountFrequency (%)
107133 1
0.6%
83694 1
0.6%
21094 1
0.6%
15580 1
0.6%
14953 1
0.6%
13389 1
0.6%
13054 1
0.6%
12249 1
0.6%
11970 1
0.6%
10917 1
0.6%

양어장 필지수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6342857
Minimum0
Maximum60
Zeros126
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:14.512208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum60
Range60
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.2369838
Coefficient of variation (CV)3.8163363
Kurtosis64.396016
Mean1.6342857
Median Absolute Deviation (MAD)0
Skewness7.6210562
Sum286
Variance38.899967
MonotonicityNot monotonic
2023-10-14T13:59:15.620970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 126
72.0%
2 11
 
6.3%
1 10
 
5.7%
3 9
 
5.1%
4 5
 
2.9%
6 4
 
2.3%
5 2
 
1.1%
9 1
 
0.6%
17 1
 
0.6%
12 1
 
0.6%
Other values (5) 5
 
2.9%
ValueCountFrequency (%)
0 126
72.0%
1 10
 
5.7%
2 11
 
6.3%
3 9
 
5.1%
4 5
 
2.9%
5 2
 
1.1%
6 4
 
2.3%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
60 1
 
0.6%
50 1
 
0.6%
17 1
 
0.6%
12 1
 
0.6%
10 1
 
0.6%
9 1
 
0.6%
8 1
 
0.6%
7 1
 
0.6%
6 4
2.3%
5 2
1.1%

수도용지 면적
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4381.904
Minimum0
Maximum184541
Zeros111
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:16.439848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32994
95-th percentile19982.28
Maximum184541
Range184541
Interquartile range (IQR)2994

Descriptive statistics

Standard deviation15585.167
Coefficient of variation (CV)3.5567113
Kurtosis103.93284
Mean4381.904
Median Absolute Deviation (MAD)0
Skewness9.2963206
Sum766833.2
Variance2.4289744 × 108
MonotonicityNot monotonic
2023-10-14T13:59:17.241722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 111
63.4%
8252.0 2
 
1.1%
2947.0 2
 
1.1%
7288.0 1
 
0.6%
6075.0 1
 
0.6%
605.0 1
 
0.6%
5325.1 1
 
0.6%
382.0 1
 
0.6%
7571.0 1
 
0.6%
1201.0 1
 
0.6%
Other values (53) 53
30.3%
ValueCountFrequency (%)
0.0 111
63.4%
13.0 1
 
0.6%
38.0 1
 
0.6%
224.4 1
 
0.6%
262.8 1
 
0.6%
382.0 1
 
0.6%
605.0 1
 
0.6%
907.0 1
 
0.6%
1110.3 1
 
0.6%
1201.0 1
 
0.6%
ValueCountFrequency (%)
184541.0 1
0.6%
50680.3 1
0.6%
38283.1 1
0.6%
31432.0 1
0.6%
28353.0 1
0.6%
26662.4 1
0.6%
25035.6 1
0.6%
21208.0 1
0.6%
21116.0 1
0.6%
19496.4 1
0.6%

수도용지 필지수
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.291429
Minimum0
Maximum178
Zeros111
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:18.018440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile75.1
Maximum178
Range178
Interquartile range (IQR)7

Descriptive statistics

Standard deviation30.871642
Coefficient of variation (CV)2.322673
Kurtosis10.907665
Mean13.291429
Median Absolute Deviation (MAD)0
Skewness3.1548083
Sum2326
Variance953.05826
MonotonicityNot monotonic
2023-10-14T13:59:18.931511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 111
63.4%
1 8
 
4.6%
2 4
 
2.3%
5 4
 
2.3%
22 3
 
1.7%
7 3
 
1.7%
13 2
 
1.1%
34 2
 
1.1%
11 2
 
1.1%
62 2
 
1.1%
Other values (31) 34
 
19.4%
ValueCountFrequency (%)
0 111
63.4%
1 8
 
4.6%
2 4
 
2.3%
4 2
 
1.1%
5 4
 
2.3%
6 1
 
0.6%
7 3
 
1.7%
11 2
 
1.1%
12 1
 
0.6%
13 2
 
1.1%
ValueCountFrequency (%)
178 1
0.6%
164 1
0.6%
153 1
0.6%
134 1
0.6%
115 1
0.6%
91 1
0.6%
88 1
0.6%
85 1
0.6%
80 1
0.6%
73 1
0.6%

공원 면적
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14829.855
Minimum0
Maximum641348.5
Zeros127
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:20.004934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3805.05
95-th percentile86761.14
Maximum641348.5
Range641348.5
Interquartile range (IQR)805.05

Descriptive statistics

Standard deviation62326.449
Coefficient of variation (CV)4.2027685
Kurtosis63.608815
Mean14829.855
Median Absolute Deviation (MAD)0
Skewness7.2520853
Sum2595224.7
Variance3.8845862 × 109
MonotonicityNot monotonic
2023-10-14T13:59:20.459919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0 127
72.6%
4142.6 2
 
1.1%
2892.0 2
 
1.1%
15478.7 2
 
1.1%
1016.2 2
 
1.1%
2989.0 2
 
1.1%
2656.0 1
 
0.6%
343498.6 1
 
0.6%
23174.1 1
 
0.6%
21395.4 1
 
0.6%
Other values (34) 34
 
19.4%
ValueCountFrequency (%)
0.0 127
72.6%
243.0 1
 
0.6%
364.0 1
 
0.6%
504.9 1
 
0.6%
645.0 1
 
0.6%
965.1 1
 
0.6%
1016.2 2
 
1.1%
1133.7 1
 
0.6%
1406.8 1
 
0.6%
1884.8 1
 
0.6%
ValueCountFrequency (%)
641348.5 1
0.6%
343498.6 1
0.6%
211172.1 1
0.6%
176951.6 1
0.6%
172401.2 1
0.6%
132173.1 1
0.6%
126095.0 1
0.6%
119933.2 1
0.6%
103284.5 1
0.6%
79679.7 1
0.6%

공원 지번수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2228571
Minimum0
Maximum95
Zeros127
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:21.102871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile25.9
Maximum95
Range95
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.529576
Coefficient of variation (CV)2.967085
Kurtosis23.345102
Mean4.2228571
Median Absolute Deviation (MAD)0
Skewness4.450679
Sum739
Variance156.99028
MonotonicityNot monotonic
2023-10-14T13:59:21.996960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 127
72.6%
1 7
 
4.0%
2 5
 
2.9%
7 5
 
2.9%
9 4
 
2.3%
3 4
 
2.3%
5 3
 
1.7%
43 2
 
1.1%
24 2
 
1.1%
25 2
 
1.1%
Other values (14) 14
 
8.0%
ValueCountFrequency (%)
0 127
72.6%
1 7
 
4.0%
2 5
 
2.9%
3 4
 
2.3%
4 1
 
0.6%
5 3
 
1.7%
6 1
 
0.6%
7 5
 
2.9%
9 4
 
2.3%
10 1
 
0.6%
ValueCountFrequency (%)
95 1
0.6%
76 1
0.6%
50 1
0.6%
45 1
0.6%
43 2
1.1%
39 1
0.6%
33 1
0.6%
28 1
0.6%
25 2
1.1%
24 2
1.1%

체육용지 면적
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47391.081
Minimum0
Maximum1382573
Zeros129
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:22.671201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3702.65
95-th percentile429478.72
Maximum1382573
Range1382573
Interquartile range (IQR)702.65

Descriptive statistics

Standard deviation188774.95
Coefficient of variation (CV)3.9833435
Kurtosis21.65371
Mean47391.081
Median Absolute Deviation (MAD)0
Skewness4.5446311
Sum8293439.2
Variance3.5635984 × 1010
MonotonicityNot monotonic
2023-10-14T13:59:23.458614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0 129
73.7%
497.0 2
 
1.1%
1613.0 2
 
1.1%
58079.0 2
 
1.1%
1440.0 1
 
0.6%
1382573.0 1
 
0.6%
710849.0 1
 
0.6%
630757.0 1
 
0.6%
20823.0 1
 
0.6%
20144.0 1
 
0.6%
Other values (34) 34
 
19.4%
ValueCountFrequency (%)
0.0 129
73.7%
497.0 2
 
1.1%
908.3 1
 
0.6%
999.0 1
 
0.6%
1000.0 1
 
0.6%
1312.0 1
 
0.6%
1440.0 1
 
0.6%
1613.0 2
 
1.1%
1695.0 1
 
0.6%
1921.0 1
 
0.6%
ValueCountFrequency (%)
1382573.0 1
0.6%
842721.0 1
0.6%
840026.0 1
0.6%
823084.6 1
0.6%
796110.0 1
0.6%
710849.0 1
0.6%
677538.0 1
0.6%
669035.0 1
0.6%
630757.0 1
0.6%
343216.6 1
0.6%

체육용지 지번수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.92
Minimum0
Maximum76
Zeros129
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:24.293921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15.4
Maximum76
Range76
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.793485
Coefficient of variation (CV)3.6963988
Kurtosis25.303496
Mean2.92
Median Absolute Deviation (MAD)0
Skewness4.8699099
Sum511
Variance116.49931
MonotonicityNot monotonic
2023-10-14T13:59:25.280018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 129
73.7%
1 15
 
8.6%
2 10
 
5.7%
3 4
 
2.3%
5 3
 
1.7%
6 3
 
1.7%
37 2
 
1.1%
39 1
 
0.6%
7 1
 
0.6%
13 1
 
0.6%
Other values (6) 6
 
3.4%
ValueCountFrequency (%)
0 129
73.7%
1 15
 
8.6%
2 10
 
5.7%
3 4
 
2.3%
5 3
 
1.7%
6 3
 
1.7%
7 1
 
0.6%
13 1
 
0.6%
21 1
 
0.6%
37 2
 
1.1%
ValueCountFrequency (%)
76 1
0.6%
73 1
0.6%
44 1
0.6%
43 1
0.6%
41 1
0.6%
39 1
0.6%
37 2
1.1%
21 1
0.6%
13 1
0.6%
7 1
0.6%

유원지 면적
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4412.5566
Minimum0
Maximum230345
Zeros136
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:25.925550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18328.5
Maximum230345
Range230345
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19952.401
Coefficient of variation (CV)4.5217327
Kurtosis97.213035
Mean4412.5566
Median Absolute Deviation (MAD)0
Skewness9.1099666
Sum772197.4
Variance3.9809831 × 108
MonotonicityNot monotonic
2023-10-14T13:59:27.015717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 136
77.7%
1623.5 2
 
1.1%
29583.0 2
 
1.1%
9854.0 1
 
0.6%
4392.0 1
 
0.6%
11488.0 1
 
0.6%
7286.0 1
 
0.6%
7366.0 1
 
0.6%
88148.0 1
 
0.6%
5185.0 1
 
0.6%
Other values (28) 28
 
16.0%
ValueCountFrequency (%)
0.0 136
77.7%
202.7 1
 
0.6%
999.0 1
 
0.6%
1445.0 1
 
0.6%
1524.0 1
 
0.6%
1623.5 2
 
1.1%
3095.0 1
 
0.6%
3679.0 1
 
0.6%
4392.0 1
 
0.6%
4758.0 1
 
0.6%
ValueCountFrequency (%)
230345.0 1
0.6%
88148.0 1
0.6%
64350.0 1
0.6%
39541.0 1
0.6%
30532.0 1
0.6%
30120.0 1
0.6%
29583.0 2
1.1%
23918.0 1
0.6%
15933.0 1
0.6%
15406.0 1
0.6%

유원지 지번수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.52
Minimum0
Maximum39
Zeros136
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:27.960663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.399373
Coefficient of variation (CV)2.8943243
Kurtosis32.848773
Mean1.52
Median Absolute Deviation (MAD)0
Skewness4.9578749
Sum266
Variance19.354483
MonotonicityNot monotonic
2023-10-14T13:59:29.218945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 136
77.7%
3 7
 
4.0%
2 6
 
3.4%
4 4
 
2.3%
1 4
 
2.3%
6 3
 
1.7%
10 2
 
1.1%
5 2
 
1.1%
12 1
 
0.6%
15 1
 
0.6%
Other values (9) 9
 
5.1%
ValueCountFrequency (%)
0 136
77.7%
1 4
 
2.3%
2 6
 
3.4%
3 7
 
4.0%
4 4
 
2.3%
5 2
 
1.1%
6 3
 
1.7%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
39 1
0.6%
20 1
0.6%
17 1
0.6%
15 1
0.6%
14 1
0.6%
13 1
0.6%
12 1
0.6%
11 1
0.6%
10 2
1.1%
9 1
0.6%

종교용지 면적
Real number (ℝ)

ZEROS 

Distinct127
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4942.4811
Minimum0
Maximum46216
Zeros49
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:30.116331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1192
Q35427.5
95-th percentile21224.5
Maximum46216
Range46216
Interquartile range (IQR)5427.5

Descriptive statistics

Standard deviation8623.6816
Coefficient of variation (CV)1.7448082
Kurtosis8.0527657
Mean4942.4811
Median Absolute Deviation (MAD)1192
Skewness2.7150959
Sum864934.2
Variance74367884
MonotonicityNot monotonic
2023-10-14T13:59:30.954721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 49
28.0%
1002.0 1
 
0.6%
643.0 1
 
0.6%
5425.0 1
 
0.6%
431.0 1
 
0.6%
16215.0 1
 
0.6%
2254.0 1
 
0.6%
2547.0 1
 
0.6%
2857.0 1
 
0.6%
578.0 1
 
0.6%
Other values (117) 117
66.9%
ValueCountFrequency (%)
0.0 49
28.0%
249.0 1
 
0.6%
292.0 1
 
0.6%
295.0 1
 
0.6%
301.0 1
 
0.6%
319.0 1
 
0.6%
340.0 1
 
0.6%
386.0 1
 
0.6%
396.0 1
 
0.6%
400.0 1
 
0.6%
ValueCountFrequency (%)
46216.0 1
0.6%
45912.8 1
0.6%
41161.0 1
0.6%
34100.0 1
0.6%
33998.3 1
0.6%
30598.0 1
0.6%
28775.0 1
0.6%
25876.1 1
0.6%
22012.0 1
0.6%
20887.0 1
0.6%

종교용지 필지수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1257143
Minimum0
Maximum44
Zeros49
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:31.804107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35.5
95-th percentile26.3
Maximum44
Range44
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation8.2577843
Coefficient of variation (CV)1.6110504
Kurtosis5.8737322
Mean5.1257143
Median Absolute Deviation (MAD)2
Skewness2.4476036
Sum897
Variance68.191002
MonotonicityNot monotonic
2023-10-14T13:59:33.251223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 49
28.0%
1 27
15.4%
2 25
14.3%
3 14
 
8.0%
4 13
 
7.4%
9 5
 
2.9%
7 5
 
2.9%
6 5
 
2.9%
5 3
 
1.7%
8 3
 
1.7%
Other values (20) 26
14.9%
ValueCountFrequency (%)
0 49
28.0%
1 27
15.4%
2 25
14.3%
3 14
 
8.0%
4 13
 
7.4%
5 3
 
1.7%
6 5
 
2.9%
7 5
 
2.9%
8 3
 
1.7%
9 5
 
2.9%
ValueCountFrequency (%)
44 1
0.6%
38 1
0.6%
32 2
1.1%
31 1
0.6%
30 2
1.1%
29 1
0.6%
27 1
0.6%
26 1
0.6%
24 1
0.6%
23 1
0.6%

사적지 면적
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367.31771
Minimum0
Maximum14894
Zeros167
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:34.630373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14894
Range14894
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1960.623
Coefficient of variation (CV)5.3376762
Kurtosis32.787536
Mean367.31771
Median Absolute Deviation (MAD)0
Skewness5.7172776
Sum64280.6
Variance3844042.6
MonotonicityNot monotonic
2023-10-14T13:59:35.874963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 167
95.4%
10245.0 2
 
1.1%
3146.3 2
 
1.1%
14894.0 1
 
0.6%
11302.0 1
 
0.6%
10617.0 1
 
0.6%
685.0 1
 
0.6%
ValueCountFrequency (%)
0.0 167
95.4%
685.0 1
 
0.6%
3146.3 2
 
1.1%
10245.0 2
 
1.1%
10617.0 1
 
0.6%
11302.0 1
 
0.6%
14894.0 1
 
0.6%
ValueCountFrequency (%)
14894.0 1
 
0.6%
11302.0 1
 
0.6%
10617.0 1
 
0.6%
10245.0 2
 
1.1%
3146.3 2
 
1.1%
685.0 1
 
0.6%
0.0 167
95.4%

사적지 지번수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33714286
Minimum0
Maximum16
Zeros167
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:37.475919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.913516
Coefficient of variation (CV)5.6756831
Kurtosis52.363973
Mean0.33714286
Median Absolute Deviation (MAD)0
Skewness6.9814229
Sum59
Variance3.6615435
MonotonicityNot monotonic
2023-10-14T13:59:38.740945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 167
95.4%
7 2
 
1.1%
16 2
 
1.1%
3 2
 
1.1%
5 1
 
0.6%
2 1
 
0.6%
ValueCountFrequency (%)
0 167
95.4%
2 1
 
0.6%
3 2
 
1.1%
5 1
 
0.6%
7 2
 
1.1%
16 2
 
1.1%
ValueCountFrequency (%)
16 2
 
1.1%
7 2
 
1.1%
5 1
 
0.6%
3 2
 
1.1%
2 1
 
0.6%
0 167
95.4%

묘지 면적
Real number (ℝ)

ZEROS 

Distinct159
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28142.45
Minimum0
Maximum792428.9
Zeros16
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:40.082660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11964
median5964
Q318675
95-th percentile115981.5
Maximum792428.9
Range792428.9
Interquartile range (IQR)16711

Descriptive statistics

Standard deviation84049.188
Coefficient of variation (CV)2.9865626
Kurtosis57.548286
Mean28142.45
Median Absolute Deviation (MAD)5366
Skewness7.0823519
Sum4924928.8
Variance7.0642661 × 109
MonotonicityNot monotonic
2023-10-14T13:59:40.800492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
9.1%
3181.0 2
 
1.1%
12759.0 1
 
0.6%
1026.0 1
 
0.6%
3369.0 1
 
0.6%
15926.0 1
 
0.6%
6276.0 1
 
0.6%
17795.0 1
 
0.6%
1330.0 1
 
0.6%
41736.0 1
 
0.6%
Other values (149) 149
85.1%
ValueCountFrequency (%)
0.0 16
9.1%
62.0 1
 
0.6%
99.0 1
 
0.6%
100.0 1
 
0.6%
179.0 1
 
0.6%
198.0 1
 
0.6%
330.0 1
 
0.6%
454.0 1
 
0.6%
519.0 1
 
0.6%
586.0 1
 
0.6%
ValueCountFrequency (%)
792428.9 1
0.6%
664775.0 1
0.6%
201395.0 1
0.6%
190832.0 1
0.6%
175672.0 1
0.6%
154644.0 1
0.6%
134411.0 1
0.6%
128839.0 1
0.6%
123202.0 1
0.6%
112887.0 1
0.6%

묘지 지번수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.091429
Minimum0
Maximum104
Zeros16
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:41.368021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q312
95-th percentile77.3
Maximum104
Range104
Interquartile range (IQR)9

Descriptive statistics

Standard deviation20.743166
Coefficient of variation (CV)1.5844846
Kurtosis8.3932326
Mean13.091429
Median Absolute Deviation (MAD)4
Skewness2.9959323
Sum2291
Variance430.27895
MonotonicityNot monotonic
2023-10-14T13:59:42.181881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
4 17
 
9.7%
0 16
 
9.1%
3 15
 
8.6%
7 12
 
6.9%
10 11
 
6.3%
8 10
 
5.7%
6 9
 
5.1%
9 9
 
5.1%
5 9
 
5.1%
1 9
 
5.1%
Other values (27) 58
33.1%
ValueCountFrequency (%)
0 16
9.1%
1 9
5.1%
2 5
 
2.9%
3 15
8.6%
4 17
9.7%
5 9
5.1%
6 9
5.1%
7 12
6.9%
8 10
5.7%
9 9
5.1%
ValueCountFrequency (%)
104 1
 
0.6%
101 1
 
0.6%
95 2
1.1%
82 1
 
0.6%
81 1
 
0.6%
78 3
1.7%
77 1
 
0.6%
76 1
 
0.6%
59 1
 
0.6%
50 1
 
0.6%

잡종지 면적
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179081.24
Minimum0
Maximum8606271.1
Zeros14
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:43.071654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14368
median20919
Q365826.8
95-th percentile1074413.2
Maximum8606271.1
Range8606271.1
Interquartile range (IQR)61458.8

Descriptive statistics

Standard deviation740383.35
Coefficient of variation (CV)4.1343434
Kurtosis98.097486
Mean179081.24
Median Absolute Deviation (MAD)18970
Skewness9.0683251
Sum31339217
Variance5.481675 × 1011
MonotonicityNot monotonic
2023-10-14T13:59:43.942539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
8.0%
26339.0 1
 
0.6%
8879.0 1
 
0.6%
11178.0 1
 
0.6%
14201.0 1
 
0.6%
73404.0 1
 
0.6%
20919.0 1
 
0.6%
1442791.3 1
 
0.6%
15222.0 1
 
0.6%
9690.0 1
 
0.6%
Other values (152) 152
86.9%
ValueCountFrequency (%)
0.0 14
8.0%
3.0 1
 
0.6%
56.0 1
 
0.6%
176.0 1
 
0.6%
209.0 1
 
0.6%
214.0 1
 
0.6%
345.0 1
 
0.6%
574.0 1
 
0.6%
990.0 1
 
0.6%
1148.0 1
 
0.6%
ValueCountFrequency (%)
8606271.1 1
0.6%
2538177.2 1
0.6%
2223105.0 1
0.6%
1620521.0 1
0.6%
1541005.0 1
0.6%
1534624.0 1
0.6%
1442791.3 1
0.6%
1403536.0 1
0.6%
1099308.0 1
0.6%
1063744.0 1
0.6%

잡종지 필지수
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.748571
Minimum0
Maximum4690
Zeros14
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-10-14T13:59:44.827923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median15
Q344
95-th percentile371
Maximum4690
Range4690
Interquartile range (IQR)38

Descriptive statistics

Standard deviation392.19564
Coefficient of variation (CV)4.1393304
Kurtosis110.14879
Mean94.748571
Median Absolute Deviation (MAD)12
Skewness9.7581907
Sum16581
Variance153817.42
MonotonicityNot monotonic
2023-10-14T13:59:45.556067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
8.0%
5 10
 
5.7%
14 9
 
5.1%
1 6
 
3.4%
11 6
 
3.4%
2 6
 
3.4%
9 6
 
3.4%
15 6
 
3.4%
25 5
 
2.9%
6 4
 
2.3%
Other values (61) 103
58.9%
ValueCountFrequency (%)
0 14
8.0%
1 6
3.4%
2 6
3.4%
3 3
 
1.7%
4 4
 
2.3%
5 10
5.7%
6 4
 
2.3%
7 4
 
2.3%
8 4
 
2.3%
9 6
3.4%
ValueCountFrequency (%)
4690 1
0.6%
1321 1
0.6%
1065 1
0.6%
1034 1
0.6%
773 1
0.6%
623 1
0.6%
608 1
0.6%
495 1
0.6%
399 1
0.6%
359 1
0.6%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
충주시청 토지정보과
175 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충주시청 토지정보과
2nd row충주시청 토지정보과
3rd row충주시청 토지정보과
4th row충주시청 토지정보과
5th row충주시청 토지정보과

Common Values

ValueCountFrequency (%)
충주시청 토지정보과 175
100.0%

Length

2023-10-14T13:59:46.274984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-14T13:59:46.764027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충주시청 175
50.0%
토지정보과 175
50.0%

문의전화
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
043-850-5473
175 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row043-850-5473
2nd row043-850-5473
3rd row043-850-5473
4th row043-850-5473
5th row043-850-5473

Common Values

ValueCountFrequency (%)
043-850-5473 175
100.0%

Length

2023-10-14T13:59:47.430756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-14T13:59:48.172638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
043-850-5473 175
100.0%

Sample

자치단체명법정동 토지소재지전 면적전 필지수답 면적답 필지수과수원 면적과수원 필지수목장용지 면적목장용지 필지수임야 면적임야 필지수광천지 면적광천지 필지수염전 면적염전 필지수대 면적대 필지수공장용지 면적공장용지 필지수학교용지 면적학교용지 필지수주차장 면적주차장 필지수주유소용지 면적주유소용지 필지수창고용지 면적창고용지 필지수도로 면적도로 필지수철도용지 면적철도용지 지번수제방 면적제방 지번수하천 면적하천 지번수구거 면적구거 지번수유지 면적유지 지번수양어장 면적양어장 필지수수도용지 면적수도용지 필지수공원 면적공원 지번수체육용지 면적체육용지 지번수유원지 면적유원지 지번수종교용지 면적종교용지 필지수사적지 면적사적지 지번수묘지 면적묘지 지번수잡종지 면적잡종지 필지수담당부서문의전화
0충청북도 충주시성내동0.0010.010.000.000.00000085034.03840.000.002015.040.000.0030127.0920.002716.01312251.0190.000.00000.007488.010.000.000.000.000.003.01충주시청 토지정보과043-850-5473
1충청북도 충주시성남동0.0011.020.000.000.00000076742.03610.000.00163.010.000.0023029.0740.00479.051276.070.000.00000.000.000.000.000.000.000.000.00충주시청 토지정보과043-850-5473
2충청북도 충주시성서동0.000.000.000.000.00000089670.04100.000.00323.020.000.0029032.01170.001310.063745.050.000.00000.000.000.000.000.000.000.000.00충주시청 토지정보과043-850-5473
3충청북도 충주시충인동0.000.000.000.000.00000038877.02930.000.003437.0150.000.0017633.0610.002914.0138456.080.000.00000.000.000.000.001002.010.000.000.00충주시청 토지정보과043-850-5473
4충청북도 충주시교현동65645.022144398.5116143352.01690.00147008.04800001175483.8433063.01177479.4397221.2144101.242580.09454354.1762664.01511022.03958802.87216602.0269.01307810.0063588.71344716.060.0045912.8440.001398.0616214.241충주시청 토지정보과043-850-5473
5충청북도 충주시용산동59520.012220223.070131722.01410.00459674.0190000516700.913870.00127606.2192650.041858.06425.03182335.44280.004606.01714817.0118829.01353.01000.00504.920.000.0017544.0140.00586.041759.47충주시청 토지정보과043-850-5473
6충청북도 충주시호암동371448.0305366353.0330931698.06184862.031809403.02660000953078.6910395.03241666.9612976.581250.0119784.018567589.28590.005712.0943853.31487152.058343690.854000.00132173.143343216.664758.0412417.7120.002776.0725733.027충주시청 토지정보과043-850-5473
7충청북도 충주시직동433517.0400141687.0233388427.02667418.036742271.05390000110539.02120.000.00937.040.004570.010105126.03240.000.0063510.01462701.0220.00000.000.000.000.0046216.0320.003462.01313678.018충주시청 토지정보과043-850-5473
8충청북도 충주시단월동368400.0347754860.0722170910.01150.001019970.01790000303365.08043907.05369970.0176495.0138726.0712889.07274668.08060.0027110.028751513.0168132262.015291.037748228353.040243.019960.010.0015471.0814894.0717360.0330035.025충주시청 토지정보과043-850-5473
9충청북도 충주시풍동727189.0484510834.0515138322.0530.004201058.02850000125063.0226120393.0460.004625.020.006677.010250368.02990.0024923.06575555.034102431.01163366.03000.000.000.000.000.000.003558.01073644.019충주시청 토지정보과043-850-5473
자치단체명법정동 토지소재지전 면적전 필지수답 면적답 필지수과수원 면적과수원 필지수목장용지 면적목장용지 필지수임야 면적임야 필지수광천지 면적광천지 필지수염전 면적염전 필지수대 면적대 필지수공장용지 면적공장용지 필지수학교용지 면적학교용지 필지수주차장 면적주차장 필지수주유소용지 면적주유소용지 필지수창고용지 면적창고용지 필지수도로 면적도로 필지수철도용지 면적철도용지 지번수제방 면적제방 지번수하천 면적하천 지번수구거 면적구거 지번수유지 면적유지 지번수양어장 면적양어장 필지수수도용지 면적수도용지 필지수공원 면적공원 지번수체육용지 면적체육용지 지번수유원지 면적유원지 지번수종교용지 면적종교용지 필지수사적지 면적사적지 지번수묘지 면적묘지 지번수잡종지 면적잡종지 필지수담당부서문의전화
165충청북도 충주시소태면5222063.539034900076.23603320011.6131199651.74944452547.917660000969999.81691119365.02246075.0135184.0518937.01181306.01181859362.127580.0048844.0823550766.8528855977.573388182.045752230.000.000.0015406.0518340.0180.00128839.077110605.6106충주시청 토지정보과043-850-5473
166충청북도 충주시소태면 오량리671709.0453490959.038751660.0247314.035046642.01440000105426.018411243.0410171.0100.00110.017081.014113487.01770.00125.027389.028121705.038693.01000.000.000.000.0011839.090.003820.074150.08충주시청 토지정보과043-850-5473
167충청북도 충주시소태면 복탄리803351.2658886196.166321008.4913239.066762228.93090000152267.83070.000.00883.010.004361.09205529.74440.000.001342159.883206555.816312669.05000.000.000.006685.03249.010.006018.088365.013충주시청 토지정보과043-850-5473
168충청북도 충주시소태면 덕은리574137.0488633360.042838951.0618404.0105973304.02290000143396.02240.0010239.010.000.009491.012140103.02950.000.001073893.015766645.0267534.06687220.000.000.000.000.000.004426.0534552.014충주시청 토지정보과043-850-5473
169충청북도 충주시소태면 주치리1087315.9742645264.741469311.022128354.7107595023.03180000164103.829114044.029593.010.000.0016521.023293586.83600.000.00122666.042105447.0370.00000.000.000.000.004172.020.0080613.0266517.66충주시청 토지정보과043-850-5473
170충청북도 충주시소태면 구룡리401562.0279315553.02452536.014137.055811471.0195000074630.21204551.040.00400.019858.076782.06354827.72640.0026872.01867045.02069503.49060355.028000.000.000.000.00400.020.003181.0316357.05충주시청 토지정보과043-850-5473
171충청북도 충주시소태면 야동리545837.3375489627.736463033.8273035.033918964.01280000102411.01695750.0116072.013901.037415.0210395.014218407.73910.002058.02116466.07692190.71080.00000.000.000.000.00565.010.0015623.0138554.015충주시청 토지정보과043-850-5473
172충청북도 충주시소태면 동막리326136.5206276165.418018243.0156363.062677837.0144000049383.07626965.020.000.000.002027.06175427.11400.00248.01271.0261395.9650.00000.000.000.000.000.000.007388.06209.01충주시청 토지정보과043-850-5473
173충청북도 충주시소태면 양촌리405739.6378632105.352319272.4116676.032884658.01440000105374.018950334.050.000.000.0016693.019206675.14190.0013433.030280584.04449622.71076511.04000.000.000.008721.02536.020.006369.0529537.039충주시청 토지정보과043-850-5473
174충청북도 충주시소태면 중청리406275.0324530845.039935996.01612129.033782420.0155000073008.01316478.040.000.001554.017955.015151318.02680.006108.029540293.07682912.099420.0165010.000.000.000.00579.010.001401.042364.05충주시청 토지정보과043-850-5473