Overview

Dataset statistics

Number of variables58
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.5 KiB
Average record size in memory522.5 B

Variable types

Text1
Numeric40
Categorical16
DateTime1

Dataset

Description인천광역시 중구 지적 현황에 대한 정보입니다. 파일명 인천광역시 중구 지적현황 내용 토지소재지, 전 면적, 전 지번수, 답 면적 등
URLhttps://www.data.go.kr/data/15066583/fileData.do

Alerts

광천 지번수 has constant value ""Constant
염전 면적 has constant value ""Constant
양어장 지번수 has constant value ""Constant
수도용지 면적 has constant value ""Constant
사적지 지번수 has constant value ""Constant
묘지 면적 has constant value ""Constant
데이터기준일자 has constant value ""Constant
목장용지 지번수 is highly imbalanced (86.3%)Imbalance
임야 면적 is highly imbalanced (86.3%)Imbalance
염전 지번수 is highly imbalanced (76.5%)Imbalance
대 면적 is highly imbalanced (76.5%)Imbalance
하천 지번수 is highly imbalanced (76.5%)Imbalance
구거 면적 is highly imbalanced (76.5%)Imbalance
수도용지 지번수 is highly imbalanced (82.7%)Imbalance
공원 면적 is highly imbalanced (82.7%)Imbalance
유원지 지번수 is highly imbalanced (76.5%)Imbalance
종교용지 면적 is highly imbalanced (76.5%)Imbalance
토지소재지 has unique valuesUnique
대 지번수 has unique valuesUnique
도로 지번수 has unique valuesUnique
전 지번수 has 44 (84.6%) zerosZeros
답 면적 has 44 (84.6%) zerosZeros
답 지번수 has 44 (84.6%) zerosZeros
과수원 면적 has 44 (84.6%) zerosZeros
과수원 지번수 has 44 (84.6%) zerosZeros
목장용지 면적 has 44 (84.6%) zerosZeros
임야 지번수 has 40 (76.9%) zerosZeros
광천 면적 has 40 (76.9%) zerosZeros
공장용지 지번수 has 44 (84.6%) zerosZeros
학교용지 면적 has 44 (84.6%) zerosZeros
학교용지 지번수 has 31 (59.6%) zerosZeros
주차장 면적 has 31 (59.6%) zerosZeros
주차장 지번수 has 23 (44.2%) zerosZeros
주유소용지 면적 has 23 (44.2%) zerosZeros
주유소용지 지번수 has 38 (73.1%) zerosZeros
창고용지 면적 has 38 (73.1%) zerosZeros
창고용지 지번수 has 41 (78.8%) zerosZeros
도로 면적 has 41 (78.8%) zerosZeros
철도용지 지번수 has 42 (80.8%) zerosZeros
제방 면적 has 42 (80.8%) zerosZeros
제방 지번수 has 41 (78.8%) zerosZeros
하천 면적 has 41 (78.8%) zerosZeros
구거 지번수 has 29 (55.8%) zerosZeros
유지 면적 has 29 (55.8%) zerosZeros
유지 지번수 has 45 (86.5%) zerosZeros
양어장 면적 has 45 (86.5%) zerosZeros
공원 지번수 has 41 (78.8%) zerosZeros
체육용지 면적 has 41 (78.8%) zerosZeros
체육용지 지번수 has 46 (88.5%) zerosZeros
유원지 면적 has 46 (88.5%) zerosZeros
종교용지 지번수 has 28 (53.8%) zerosZeros
사적지 면적 has 28 (53.8%) zerosZeros
묘지 지번수 has 46 (88.5%) zerosZeros
잡종지 면적 has 46 (88.5%) zerosZeros
잡종지 지번수 has 25 (48.1%) zerosZeros

Reproduction

Analysis started2023-12-12 08:29:56.997475
Analysis finished2023-12-12 08:29:57.575757
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T17:29:57.744153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8269231
Min length2

Characters and Unicode

Total characters199
Distinct characters50
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

Unique52 ?
Unique (%)100.0%

Sample

1st row중앙동1가
2nd row중앙동2가
3rd row중앙동3가
4th row중앙동4가
5th row해안동1가
ValueCountFrequency (%)
중앙동1가 1
 
1.9%
중앙동2가 1
 
1.9%
북성동2가 1
 
1.9%
선화동 1
 
1.9%
유동 1
 
1.9%
율목동 1
 
1.9%
도원동 1
 
1.9%
내동 1
 
1.9%
경동 1
 
1.9%
용동 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T17:29:58.140207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
26.1%
30
15.1%
1 8
 
4.0%
2 8
 
4.0%
3 8
 
4.0%
7
 
3.5%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
Other values (40) 65
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
84.9%
Decimal Number 30
 
15.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
30.8%
30
17.8%
7
 
4.1%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
Other values (33) 47
27.8%
Decimal Number
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
3 8
26.7%
4 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
84.9%
Common 30
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
30.8%
30
17.8%
7
 
4.1%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
Other values (33) 47
27.8%
Common
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
3 8
26.7%
4 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
84.9%
ASCII 30
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
52
30.8%
30
17.8%
7
 
4.1%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
Other values (33) 47
27.8%
ASCII
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
3 8
26.7%
4 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%

전 면적
Real number (ℝ)

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1155.6538
Minimum9
Maximum7550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:29:58.316640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12.55
Q165.75
median362
Q3898.25
95-th percentile6355.1
Maximum7550
Range7541
Interquartile range (IQR)832.5

Descriptive statistics

Standard deviation2007.4562
Coefficient of variation (CV)1.737074
Kurtosis4.1584081
Mean1155.6538
Median Absolute Deviation (MAD)326
Skewness2.2716929
Sum60094
Variance4029880.5
MonotonicityNot monotonic
2023-12-12T17:29:58.710784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362 2
 
3.8%
50 1
 
1.9%
1114 1
 
1.9%
577 1
 
1.9%
777 1
 
1.9%
1857 1
 
1.9%
724 1
 
1.9%
706 1
 
1.9%
688 1
 
1.9%
888 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
9 1
1.9%
11 1
1.9%
12 1
1.9%
13 1
1.9%
15 1
1.9%
17 1
1.9%
22 1
1.9%
36 1
1.9%
44 1
1.9%
48 1
1.9%
ValueCountFrequency (%)
7550 1
1.9%
7549 1
1.9%
6882 1
1.9%
5924 1
1.9%
5469 1
1.9%
3898 1
1.9%
3433 1
1.9%
2712 1
1.9%
1857 1
1.9%
1396 1
1.9%

전 지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84266.923
Minimum0
Maximum837430
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:29:58.847233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile555891.6
Maximum837430
Range837430
Interquartile range (IQR)0

Descriptive statistics

Standard deviation207433.44
Coefficient of variation (CV)2.4616235
Kurtosis4.1126621
Mean84266.923
Median Absolute Deviation (MAD)0
Skewness2.3039868
Sum4381880
Variance4.3028633 × 1010
MonotonicityNot monotonic
2023-12-12T17:29:58.998534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 44
84.6%
554304 1
 
1.9%
506277 1
 
1.9%
557832 1
 
1.9%
837430 1
 
1.9%
643020 1
 
1.9%
542333 1
 
1.9%
316645 1
 
1.9%
424039 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
316645 1
 
1.9%
424039 1
 
1.9%
506277 1
 
1.9%
542333 1
 
1.9%
554304 1
 
1.9%
557832 1
 
1.9%
643020 1
 
1.9%
837430 1
 
1.9%
ValueCountFrequency (%)
837430 1
 
1.9%
643020 1
 
1.9%
557832 1
 
1.9%
554304 1
 
1.9%
542333 1
 
1.9%
506277 1
 
1.9%
424039 1
 
1.9%
316645 1
 
1.9%
0 44
84.6%

답 면적
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.21154
Minimum0
Maximum1058
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:29:59.132784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile803.55
Maximum1058
Range1058
Interquartile range (IQR)0

Descriptive statistics

Standard deviation282.86617
Coefficient of variation (CV)2.4340627
Kurtosis3.447333
Mean116.21154
Median Absolute Deviation (MAD)0
Skewness2.2088047
Sum6043
Variance80013.268
MonotonicityNot monotonic
2023-12-12T17:29:59.281861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 44
84.6%
660 1
 
1.9%
628 1
 
1.9%
674 1
 
1.9%
1058 1
 
1.9%
897 1
 
1.9%
750 1
 
1.9%
507 1
 
1.9%
869 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
507 1
 
1.9%
628 1
 
1.9%
660 1
 
1.9%
674 1
 
1.9%
750 1
 
1.9%
869 1
 
1.9%
897 1
 
1.9%
1058 1
 
1.9%
ValueCountFrequency (%)
1058 1
 
1.9%
897 1
 
1.9%
869 1
 
1.9%
750 1
 
1.9%
674 1
 
1.9%
660 1
 
1.9%
628 1
 
1.9%
507 1
 
1.9%
0 44
84.6%

답 지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91326.404
Minimum0
Maximum1077119
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:29:59.424653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile666306.25
Maximum1077119
Range1077119
Interquartile range (IQR)0

Descriptive statistics

Standard deviation240535.92
Coefficient of variation (CV)2.6338048
Kurtosis6.7447531
Mean91326.404
Median Absolute Deviation (MAD)0
Skewness2.7189828
Sum4748973
Variance5.7857531 × 1010
MonotonicityNot monotonic
2023-12-12T17:29:59.572711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 44
84.6%
773331 1
 
1.9%
605968 1
 
1.9%
740053 1
 
1.9%
1077119 1
 
1.9%
605861 1
 
1.9%
489496 1
 
1.9%
219240 1
 
1.9%
237905 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
219240 1
 
1.9%
237905 1
 
1.9%
489496 1
 
1.9%
605861 1
 
1.9%
605968 1
 
1.9%
740053 1
 
1.9%
773331 1
 
1.9%
1077119 1
 
1.9%
ValueCountFrequency (%)
1077119 1
 
1.9%
773331 1
 
1.9%
740053 1
 
1.9%
605968 1
 
1.9%
605861 1
 
1.9%
489496 1
 
1.9%
237905 1
 
1.9%
219240 1
 
1.9%
0 44
84.6%

과수원 면적
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.21154
Minimum0
Maximum1174
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:29:59.703602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile725.65
Maximum1174
Range1174
Interquartile range (IQR)0

Descriptive statistics

Standard deviation268.87881
Coefficient of variation (CV)2.507928
Kurtosis5.3847958
Mean107.21154
Median Absolute Deviation (MAD)0
Skewness2.4763297
Sum5575
Variance72295.817
MonotonicityNot monotonic
2023-12-12T17:29:59.821085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 44
84.6%
779 1
 
1.9%
598 1
 
1.9%
682 1
 
1.9%
1174 1
 
1.9%
800 1
 
1.9%
669 1
 
1.9%
372 1
 
1.9%
501 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
372 1
 
1.9%
501 1
 
1.9%
598 1
 
1.9%
669 1
 
1.9%
682 1
 
1.9%
779 1
 
1.9%
800 1
 
1.9%
1174 1
 
1.9%
ValueCountFrequency (%)
1174 1
 
1.9%
800 1
 
1.9%
779 1
 
1.9%
682 1
 
1.9%
669 1
 
1.9%
598 1
 
1.9%
501 1
 
1.9%
372 1
 
1.9%
0 44
84.6%

과수원 지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2892.0577
Minimum0
Maximum29814
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:29:59.937314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21945.65
Maximum29814
Range29814
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7512.0177
Coefficient of variation (CV)2.5974647
Kurtosis5.1256229
Mean2892.0577
Median Absolute Deviation (MAD)0
Skewness2.5172341
Sum150387
Variance56430410
MonotonicityNot monotonic
2023-12-12T17:30:00.058504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 44
84.6%
29814 1
 
1.9%
24551 1
 
1.9%
19814 1
 
1.9%
18631 1
 
1.9%
12009 1
 
1.9%
16309 1
 
1.9%
3600 1
 
1.9%
25659 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
3600 1
 
1.9%
12009 1
 
1.9%
16309 1
 
1.9%
18631 1
 
1.9%
19814 1
 
1.9%
24551 1
 
1.9%
25659 1
 
1.9%
29814 1
 
1.9%
ValueCountFrequency (%)
29814 1
 
1.9%
25659 1
 
1.9%
24551 1
 
1.9%
19814 1
 
1.9%
18631 1
 
1.9%
16309 1
 
1.9%
12009 1
 
1.9%
3600 1
 
1.9%
0 44
84.6%

목장용지 면적
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0769231
Minimum0
Maximum36
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:00.195124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.45
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.2898803
Coefficient of variation (CV)3.0284609
Kurtosis17.4341
Mean2.0769231
Median Absolute Deviation (MAD)0
Skewness3.9231865
Sum108
Variance39.562594
MonotonicityNot monotonic
2023-12-12T17:30:00.332511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 44
84.6%
12 2
 
3.8%
13 1
 
1.9%
3 1
 
1.9%
20 1
 
1.9%
8 1
 
1.9%
4 1
 
1.9%
36 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
3 1
 
1.9%
4 1
 
1.9%
8 1
 
1.9%
12 2
 
3.8%
13 1
 
1.9%
20 1
 
1.9%
36 1
 
1.9%
ValueCountFrequency (%)
36 1
 
1.9%
20 1
 
1.9%
13 1
 
1.9%
12 2
 
3.8%
8 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
0 44
84.6%

목장용지 지번수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
51 
3135
 
1

Length

Max length4
Median length1
Mean length1.0576923
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 51
98.1%
3135 1
 
1.9%

Length

2023-12-12T17:30:00.510575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:00.655870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
98.1%
3135 1
 
1.9%

임야 면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
51 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 51
98.1%
2 1
 
1.9%

Length

2023-12-12T17:30:00.793010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:00.918776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
98.1%
2 1
 
1.9%

임야 지번수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean580930.96
Minimum0
Maximum9135215
Zeros40
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:01.012165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4307736.2
Maximum9135215
Range9135215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1653720.6
Coefficient of variation (CV)2.8466732
Kurtosis14.544075
Mean580930.96
Median Absolute Deviation (MAD)0
Skewness3.5844382
Sum30208410
Variance2.7347919 × 1012
MonotonicityNot monotonic
2023-12-12T17:30:01.131089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 40
76.9%
6470 1
 
1.9%
301 1
 
1.9%
24 1
 
1.9%
376 1
 
1.9%
1690470 1
 
1.9%
2221802 1
 
1.9%
4188574 1
 
1.9%
4520292 1
 
1.9%
4453379 1
 
1.9%
Other values (3) 3
 
5.8%
ValueCountFrequency (%)
0 40
76.9%
24 1
 
1.9%
301 1
 
1.9%
376 1
 
1.9%
6470 1
 
1.9%
1690470 1
 
1.9%
1970669 1
 
1.9%
2020838 1
 
1.9%
2221802 1
 
1.9%
4188574 1
 
1.9%
ValueCountFrequency (%)
9135215 1
1.9%
4520292 1
1.9%
4453379 1
1.9%
4188574 1
1.9%
2221802 1
1.9%
2020838 1
1.9%
1970669 1
1.9%
1690470 1
1.9%
6470 1
1.9%
376 1
1.9%

광천 면적
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.32692
Minimum0
Maximum1418
Zeros40
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:01.245565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1117.9
Maximum1418
Range1418
Interquartile range (IQR)0

Descriptive statistics

Standard deviation371.81493
Coefficient of variation (CV)2.489939
Kurtosis4.5929357
Mean149.32692
Median Absolute Deviation (MAD)0
Skewness2.3968516
Sum7765
Variance138246.34
MonotonicityNot monotonic
2023-12-12T17:30:01.361866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 40
76.9%
3 1
 
1.9%
8 1
 
1.9%
2 1
 
1.9%
1 1
 
1.9%
660 1
 
1.9%
711 1
 
1.9%
693 1
 
1.9%
1229 1
 
1.9%
1312 1
 
1.9%
Other values (3) 3
 
5.8%
ValueCountFrequency (%)
0 40
76.9%
1 1
 
1.9%
2 1
 
1.9%
3 1
 
1.9%
8 1
 
1.9%
660 1
 
1.9%
693 1
 
1.9%
701 1
 
1.9%
711 1
 
1.9%
1027 1
 
1.9%
ValueCountFrequency (%)
1418 1
1.9%
1312 1
1.9%
1229 1
1.9%
1027 1
1.9%
711 1
1.9%
701 1
1.9%
693 1
1.9%
660 1
1.9%
8 1
1.9%
3 1
1.9%

광천 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
52 

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 52
100.0%

Length

2023-12-12T17:30:01.488923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:01.576208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
100.0%

염전 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
52 

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 52
100.0%

Length

2023-12-12T17:30:01.674996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:01.768304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
100.0%

염전 지번수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
48 
447802
 
1
574114
 
1
272416
 
1
45613
 
1

Length

Max length6
Median length1
Mean length1.3653846
Min length1

Unique

Unique4 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
92.3%
447802 1
 
1.9%
574114 1
 
1.9%
272416 1
 
1.9%
45613 1
 
1.9%

Length

2023-12-12T17:30:01.893774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:02.014317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
92.3%
447802 1
 
1.9%
574114 1
 
1.9%
272416 1
 
1.9%
45613 1
 
1.9%

대 면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
48 
105
 
1
50
 
1
76
 
1
6
 
1

Length

Max length3
Median length1
Mean length1.0769231
Min length1

Unique

Unique4 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
92.3%
105 1
 
1.9%
50 1
 
1.9%
76 1
 
1.9%
6 1
 
1.9%

Length

2023-12-12T17:30:02.155515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:02.277091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
92.3%
105 1
 
1.9%
50 1
 
1.9%
76 1
 
1.9%
6 1
 
1.9%

대 지번수
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271132.63
Minimum879
Maximum2750493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:02.401645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum879
5-th percentile6189.3
Q110572.25
median32012.5
Q388959.75
95-th percentile2345178
Maximum2750493
Range2749614
Interquartile range (IQR)78387.5

Descriptive statistics

Standard deviation673741.77
Coefficient of variation (CV)2.4849158
Kurtosis8.1732756
Mean271132.63
Median Absolute Deviation (MAD)25386
Skewness3.0557178
Sum14098897
Variance4.5392798 × 1011
MonotonicityNot monotonic
2023-12-12T17:30:02.576200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5944 1
 
1.9%
478311 1
 
1.9%
31554 1
 
1.9%
61477 1
 
1.9%
101276 1
 
1.9%
63849 1
 
1.9%
65205 1
 
1.9%
25071 1
 
1.9%
43716 1
 
1.9%
86287 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
879 1
1.9%
3460 1
1.9%
5944 1
1.9%
6390 1
1.9%
6493 1
1.9%
6585 1
1.9%
6668 1
1.9%
6869 1
1.9%
7435 1
1.9%
8081 1
1.9%
ValueCountFrequency (%)
2750493 1
1.9%
2632432 1
1.9%
2345926 1
1.9%
2344566 1
1.9%
720931 1
1.9%
674490 1
1.9%
478311 1
1.9%
283648 1
1.9%
260925 1
1.9%
192942 1
1.9%

공장용지 면적
Real number (ℝ)

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean433.84615
Minimum4
Maximum3174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:02.732063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.1
Q162.75
median280.5
Q3519.5
95-th percentile1694.35
Maximum3174
Range3170
Interquartile range (IQR)456.75

Descriptive statistics

Standard deviation627.48163
Coefficient of variation (CV)1.4463229
Kurtosis9.0662547
Mean433.84615
Median Absolute Deviation (MAD)227.5
Skewness2.8572246
Sum22560
Variance393733.19
MonotonicityNot monotonic
2023-12-12T17:30:03.191980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2
 
3.8%
316 2
 
3.8%
47 1
 
1.9%
131 1
 
1.9%
1086 1
 
1.9%
536 1
 
1.9%
549 1
 
1.9%
264 1
 
1.9%
442 1
 
1.9%
622 1
 
1.9%
Other values (40) 40
76.9%
ValueCountFrequency (%)
4 1
1.9%
5 1
1.9%
6 1
1.9%
8 1
1.9%
10 2
3.8%
19 1
1.9%
30 1
1.9%
38 1
1.9%
43 1
1.9%
45 1
1.9%
ValueCountFrequency (%)
3174 1
1.9%
2635 1
1.9%
1817 1
1.9%
1594 1
1.9%
1086 1
1.9%
975 1
1.9%
681 1
1.9%
680 1
1.9%
622 1
1.9%
603 1
1.9%

공장용지 지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36859.654
Minimum0
Maximum744710
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:03.320303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile273021.4
Maximum744710
Range744710
Interquartile range (IQR)0

Descriptive statistics

Standard deviation134259.45
Coefficient of variation (CV)3.6424502
Kurtosis18.079619
Mean36859.654
Median Absolute Deviation (MAD)0
Skewness4.1702816
Sum1916702
Variance1.80256 × 1010
MonotonicityNot monotonic
2023-12-12T17:30:03.423655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 44
84.6%
240121 1
 
1.9%
520159 1
 
1.9%
744710 1
 
1.9%
313233 1
 
1.9%
1190 1
 
1.9%
94961 1
 
1.9%
2030 1
 
1.9%
298 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
298 1
 
1.9%
1190 1
 
1.9%
2030 1
 
1.9%
94961 1
 
1.9%
240121 1
 
1.9%
313233 1
 
1.9%
520159 1
 
1.9%
744710 1
 
1.9%
ValueCountFrequency (%)
744710 1
 
1.9%
520159 1
 
1.9%
313233 1
 
1.9%
240121 1
 
1.9%
94961 1
 
1.9%
2030 1
 
1.9%
1190 1
 
1.9%
298 1
 
1.9%
0 44
84.6%

학교용지 면적
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1923077
Minimum0
Maximum143
Zeros44
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:03.535450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37.7
Maximum143
Range143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.16069
Coefficient of variation (CV)4.0632171
Kurtosis20.108782
Mean6.1923077
Median Absolute Deviation (MAD)0
Skewness4.4442789
Sum322
Variance633.06033
MonotonicityNot monotonic
2023-12-12T17:30:03.647653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 44
84.6%
2 2
 
3.8%
1 2
 
3.8%
91 1
 
1.9%
143 1
 
1.9%
74 1
 
1.9%
8 1
 
1.9%
ValueCountFrequency (%)
0 44
84.6%
1 2
 
3.8%
2 2
 
3.8%
8 1
 
1.9%
74 1
 
1.9%
91 1
 
1.9%
143 1
 
1.9%
ValueCountFrequency (%)
143 1
 
1.9%
91 1
 
1.9%
74 1
 
1.9%
8 1
 
1.9%
2 2
 
3.8%
1 2
 
3.8%
0 44
84.6%

학교용지 지번수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20514.154
Minimum0
Maximum314874
Zeros31
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:03.778053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311845.25
95-th percentile112160.9
Maximum314874
Range314874
Interquartile range (IQR)11845.25

Descriptive statistics

Standard deviation54550.61
Coefficient of variation (CV)2.6591694
Kurtosis18.04484
Mean20514.154
Median Absolute Deviation (MAD)0
Skewness4.0118721
Sum1066736
Variance2.975769 × 109
MonotonicityNot monotonic
2023-12-12T17:30:03.879947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 31
59.6%
12434 1
 
1.9%
9398 1
 
1.9%
30135 1
 
1.9%
36942 1
 
1.9%
314874 1
 
1.9%
191371 1
 
1.9%
105338 1
 
1.9%
6499 1
 
1.9%
63150 1
 
1.9%
Other values (12) 12
 
23.1%
ValueCountFrequency (%)
0 31
59.6%
168 1
 
1.9%
692 1
 
1.9%
1923 1
 
1.9%
2812 1
 
1.9%
6499 1
 
1.9%
9398 1
 
1.9%
10721 1
 
1.9%
11649 1
 
1.9%
12434 1
 
1.9%
ValueCountFrequency (%)
314874 1
1.9%
191371 1
1.9%
120500 1
1.9%
105338 1
1.9%
63150 1
1.9%
57824 1
1.9%
36942 1
1.9%
30135 1
1.9%
26933 1
1.9%
25805 1
1.9%

주차장 면적
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0384615
Minimum0
Maximum28
Zeros31
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:03.982870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile9.9
Maximum28
Range28
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation4.6776965
Coefficient of variation (CV)2.294719
Kurtosis18.880533
Mean2.0384615
Median Absolute Deviation (MAD)0
Skewness3.9471045
Sum106
Variance21.880845
MonotonicityNot monotonic
2023-12-12T17:30:04.072166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 31
59.6%
1 8
 
15.4%
3 4
 
7.7%
4 3
 
5.8%
7 1
 
1.9%
6 1
 
1.9%
13 1
 
1.9%
9 1
 
1.9%
11 1
 
1.9%
28 1
 
1.9%
ValueCountFrequency (%)
0 31
59.6%
1 8
 
15.4%
3 4
 
7.7%
4 3
 
5.8%
6 1
 
1.9%
7 1
 
1.9%
9 1
 
1.9%
11 1
 
1.9%
13 1
 
1.9%
28 1
 
1.9%
ValueCountFrequency (%)
28 1
 
1.9%
13 1
 
1.9%
11 1
 
1.9%
9 1
 
1.9%
7 1
 
1.9%
6 1
 
1.9%
4 3
 
5.8%
3 4
 
7.7%
1 8
 
15.4%
0 31
59.6%

주차장 지번수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15940.538
Minimum0
Maximum619757
Zeros23
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:04.184202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median160.5
Q32511.25
95-th percentile39922.55
Maximum619757
Range619757
Interquartile range (IQR)2511.25

Descriptive statistics

Standard deviation86044.689
Coefficient of variation (CV)5.3978534
Kurtosis50.306366
Mean15940.538
Median Absolute Deviation (MAD)160.5
Skewness7.0444912
Sum828908
Variance7.4036886 × 109
MonotonicityNot monotonic
2023-12-12T17:30:04.304096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 23
44.2%
4850 1
 
1.9%
11652 1
 
1.9%
2796 1
 
1.9%
20788 1
 
1.9%
33992 1
 
1.9%
619757 1
 
1.9%
47171 1
 
1.9%
51060 1
 
1.9%
1138 1
 
1.9%
Other values (20) 20
38.5%
ValueCountFrequency (%)
0 23
44.2%
76 1
 
1.9%
85 1
 
1.9%
106 1
 
1.9%
215 1
 
1.9%
384 1
 
1.9%
392 1
 
1.9%
590 1
 
1.9%
875 1
 
1.9%
981 1
 
1.9%
ValueCountFrequency (%)
619757 1
1.9%
51060 1
1.9%
47171 1
1.9%
33992 1
1.9%
20788 1
1.9%
11652 1
1.9%
6029 1
1.9%
4850 1
1.9%
4378 1
1.9%
3698 1
1.9%

주유소용지 면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7884615
Minimum0
Maximum49
Zeros23
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:04.419335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20.15
Maximum49
Range49
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.9296522
Coefficient of variation (CV)2.3570655
Kurtosis15.306548
Mean3.7884615
Median Absolute Deviation (MAD)1
Skewness3.7826614
Sum197
Variance79.738688
MonotonicityNot monotonic
2023-12-12T17:30:04.526464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 23
44.2%
1 8
 
15.4%
2 7
 
13.5%
3 4
 
7.7%
6 2
 
3.8%
7 2
 
3.8%
35 1
 
1.9%
8 1
 
1.9%
17 1
 
1.9%
24 1
 
1.9%
Other values (2) 2
 
3.8%
ValueCountFrequency (%)
0 23
44.2%
1 8
 
15.4%
2 7
 
13.5%
3 4
 
7.7%
4 1
 
1.9%
6 2
 
3.8%
7 2
 
3.8%
8 1
 
1.9%
17 1
 
1.9%
24 1
 
1.9%
ValueCountFrequency (%)
49 1
 
1.9%
35 1
 
1.9%
24 1
 
1.9%
17 1
 
1.9%
8 1
 
1.9%
7 2
 
3.8%
6 2
 
3.8%
4 1
 
1.9%
3 4
7.7%
2 7
13.5%

주유소용지 지번수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1581.1923
Minimum0
Maximum20855
Zeros38
Zeros (%)73.1%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:04.641947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3355
95-th percentile11155.55
Maximum20855
Range20855
Interquartile range (IQR)355

Descriptive statistics

Standard deviation4500.7415
Coefficient of variation (CV)2.8464226
Kurtosis11.383249
Mean1581.1923
Median Absolute Deviation (MAD)0
Skewness3.419761
Sum82222
Variance20256674
MonotonicityNot monotonic
2023-12-12T17:30:04.765712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 38
73.1%
14070 1
 
1.9%
2368 1
 
1.9%
1804 1
 
1.9%
483 1
 
1.9%
20855 1
 
1.9%
618 1
 
1.9%
6493 1
 
1.9%
3462 1
 
1.9%
19590 1
 
1.9%
Other values (5) 5
 
9.6%
ValueCountFrequency (%)
0 38
73.1%
351 1
 
1.9%
367 1
 
1.9%
483 1
 
1.9%
618 1
 
1.9%
735 1
 
1.9%
1804 1
 
1.9%
2255 1
 
1.9%
2368 1
 
1.9%
3462 1
 
1.9%
ValueCountFrequency (%)
20855 1
1.9%
19590 1
1.9%
14070 1
1.9%
8771 1
1.9%
6493 1
1.9%
3462 1
1.9%
2368 1
1.9%
2255 1
1.9%
1804 1
1.9%
735 1
1.9%

창고용지 면적
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3076923
Minimum0
Maximum12
Zeros38
Zeros (%)73.1%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:04.871573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9.35
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0392108
Coefficient of variation (CV)2.3241024
Kurtosis5.6030817
Mean1.3076923
Median Absolute Deviation (MAD)0
Skewness2.553793
Sum68
Variance9.2368024
MonotonicityNot monotonic
2023-12-12T17:30:04.977129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 38
73.1%
1 5
 
9.6%
11 2
 
3.8%
6 2
 
3.8%
2 2
 
3.8%
8 1
 
1.9%
12 1
 
1.9%
5 1
 
1.9%
ValueCountFrequency (%)
0 38
73.1%
1 5
 
9.6%
2 2
 
3.8%
5 1
 
1.9%
6 2
 
3.8%
8 1
 
1.9%
11 2
 
3.8%
12 1
 
1.9%
ValueCountFrequency (%)
12 1
 
1.9%
11 2
 
3.8%
8 1
 
1.9%
6 2
 
3.8%
5 1
 
1.9%
2 2
 
3.8%
1 5
 
9.6%
0 38
73.1%

창고용지 지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36166.231
Minimum0
Maximum629830
Zeros41
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:05.090796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile269075.2
Maximum629830
Range629830
Interquartile range (IQR)0

Descriptive statistics

Standard deviation139587.73
Coefficient of variation (CV)3.859615
Kurtosis14.212444
Mean36166.231
Median Absolute Deviation (MAD)0
Skewness3.9286535
Sum1880644
Variance1.9484734 × 1010
MonotonicityNot monotonic
2023-12-12T17:30:05.219375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 41
78.8%
810 1
 
1.9%
628059 1
 
1.9%
2094 1
 
1.9%
155 1
 
1.9%
514670 1
 
1.9%
141 1
 
1.9%
32421 1
 
1.9%
2519 1
 
1.9%
629830 1
 
1.9%
Other values (2) 2
 
3.8%
ValueCountFrequency (%)
0 41
78.8%
141 1
 
1.9%
155 1
 
1.9%
810 1
 
1.9%
1811 1
 
1.9%
2094 1
 
1.9%
2519 1
 
1.9%
32421 1
 
1.9%
68134 1
 
1.9%
514670 1
 
1.9%
ValueCountFrequency (%)
629830 1
1.9%
628059 1
1.9%
514670 1
1.9%
68134 1
1.9%
32421 1
1.9%
2519 1
1.9%
2094 1
1.9%
1811 1
1.9%
810 1
1.9%
155 1
1.9%

도로 면적
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7692308
Minimum0
Maximum82
Zeros41
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:05.325116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21.95
Maximum82
Range82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.962998
Coefficient of variation (CV)3.7044688
Kurtosis21.668966
Mean3.7692308
Median Absolute Deviation (MAD)0
Skewness4.5459039
Sum196
Variance194.96531
MonotonicityNot monotonic
2023-12-12T17:30:05.463305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 41
78.8%
1 2
 
3.8%
2 2
 
3.8%
5 2
 
3.8%
82 1
 
1.9%
48 1
 
1.9%
8 1
 
1.9%
39 1
 
1.9%
3 1
 
1.9%
ValueCountFrequency (%)
0 41
78.8%
1 2
 
3.8%
2 2
 
3.8%
3 1
 
1.9%
5 2
 
3.8%
8 1
 
1.9%
39 1
 
1.9%
48 1
 
1.9%
82 1
 
1.9%
ValueCountFrequency (%)
82 1
 
1.9%
48 1
 
1.9%
39 1
 
1.9%
8 1
 
1.9%
5 2
 
3.8%
3 1
 
1.9%
2 2
 
3.8%
1 2
 
3.8%
0 41
78.8%

도로 지번수
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269024.12
Minimum3088
Maximum6119835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:05.593135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3088
5-th percentile4226.55
Q16178.75
median19553
Q343686.25
95-th percentile1370435.2
Maximum6119835
Range6116747
Interquartile range (IQR)37507.5

Descriptive statistics

Standard deviation900693.9
Coefficient of variation (CV)3.3480043
Kurtosis36.266037
Mean269024.12
Median Absolute Deviation (MAD)14198
Skewness5.701508
Sum13989254
Variance8.112495 × 1011
MonotonicityNot monotonic
2023-12-12T17:30:05.748065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3236 1
 
1.9%
648194 1
 
1.9%
28554 1
 
1.9%
24161 1
 
1.9%
55681 1
 
1.9%
25844 1
 
1.9%
25527 1
 
1.9%
10408 1
 
1.9%
39184 1
 
1.9%
38903 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
3088 1
1.9%
3236 1
1.9%
4204 1
1.9%
4245 1
1.9%
4319 1
1.9%
4614 1
1.9%
4689 1
1.9%
4694 1
1.9%
5352 1
1.9%
5358 1
1.9%
ValueCountFrequency (%)
6119835 1
1.9%
1449556 1
1.9%
1402327 1
1.9%
1344342 1
1.9%
914799 1
1.9%
648194 1
1.9%
511829 1
1.9%
383775 1
1.9%
315013 1
1.9%
146313 1
1.9%

철도용지 면적
Real number (ℝ)

Distinct41
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.26923
Minimum1
Maximum1639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:05.893136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15.75
median47
Q3202.25
95-th percentile1173.15
Maximum1639
Range1638
Interquartile range (IQR)196.5

Descriptive statistics

Standard deviation404.0199
Coefficient of variation (CV)1.7545545
Kurtosis4.7290391
Mean230.26923
Median Absolute Deviation (MAD)46
Skewness2.3387049
Sum11974
Variance163232.08
MonotonicityNot monotonic
2023-12-12T17:30:06.044644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 4
 
7.7%
2 3
 
5.8%
4 3
 
5.8%
6 2
 
3.8%
21 2
 
3.8%
81 2
 
3.8%
5 2
 
3.8%
394 1
 
1.9%
19 1
 
1.9%
190 1
 
1.9%
Other values (31) 31
59.6%
ValueCountFrequency (%)
1 4
7.7%
2 3
5.8%
3 1
 
1.9%
4 3
5.8%
5 2
3.8%
6 2
3.8%
7 1
 
1.9%
8 1
 
1.9%
13 1
 
1.9%
14 1
 
1.9%
ValueCountFrequency (%)
1639 1
1.9%
1565 1
1.9%
1221 1
1.9%
1134 1
1.9%
1114 1
1.9%
759 1
1.9%
735 1
1.9%
394 1
1.9%
353 1
1.9%
325 1
1.9%

철도용지 지번수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16703.788
Minimum0
Maximum515385
Zeros42
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:06.243642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile81681.6
Maximum515385
Range515385
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73820.575
Coefficient of variation (CV)4.4193911
Kurtosis42.827244
Mean16703.788
Median Absolute Deviation (MAD)0
Skewness6.3418945
Sum868597
Variance5.4494773 × 109
MonotonicityNot monotonic
2023-12-12T17:30:06.407224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 42
80.8%
5455 1
 
1.9%
598 1
 
1.9%
33454 1
 
1.9%
2937 1
 
1.9%
104508 1
 
1.9%
20431 1
 
1.9%
72381 1
 
1.9%
515385 1
 
1.9%
93049 1
 
1.9%
ValueCountFrequency (%)
0 42
80.8%
598 1
 
1.9%
2937 1
 
1.9%
5455 1
 
1.9%
20399 1
 
1.9%
20431 1
 
1.9%
33454 1
 
1.9%
72381 1
 
1.9%
93049 1
 
1.9%
104508 1
 
1.9%
ValueCountFrequency (%)
515385 1
1.9%
104508 1
1.9%
93049 1
1.9%
72381 1
1.9%
33454 1
1.9%
20431 1
1.9%
20399 1
1.9%
5455 1
1.9%
2937 1
1.9%
598 1
1.9%

제방 면적
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5192308
Minimum0
Maximum49
Zeros42
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:06.532344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33.8
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.588518
Coefficient of variation (CV)3.2929121
Kurtosis11.391112
Mean3.5192308
Median Absolute Deviation (MAD)0
Skewness3.5356161
Sum183
Variance134.29374
MonotonicityNot monotonic
2023-12-12T17:30:06.686385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 42
80.8%
4 2
 
3.8%
2 2
 
3.8%
49 1
 
1.9%
47 1
 
1.9%
3 1
 
1.9%
23 1
 
1.9%
48 1
 
1.9%
1 1
 
1.9%
ValueCountFrequency (%)
0 42
80.8%
1 1
 
1.9%
2 2
 
3.8%
3 1
 
1.9%
4 2
 
3.8%
23 1
 
1.9%
47 1
 
1.9%
48 1
 
1.9%
49 1
 
1.9%
ValueCountFrequency (%)
49 1
 
1.9%
48 1
 
1.9%
47 1
 
1.9%
23 1
 
1.9%
4 2
 
3.8%
3 1
 
1.9%
2 2
 
3.8%
1 1
 
1.9%
0 42
80.8%

제방 지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14469.5
Minimum0
Maximum490096
Zeros41
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:06.905683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37186.75
Maximum490096
Range490096
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69519.885
Coefficient of variation (CV)4.804581
Kurtosis45.225609
Mean14469.5
Median Absolute Deviation (MAD)0
Skewness6.5811248
Sum752414
Variance4.8330144 × 109
MonotonicityNot monotonic
2023-12-12T17:30:07.161019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 41
78.8%
20476 1
 
1.9%
164 1
 
1.9%
18379 1
 
1.9%
110573 1
 
1.9%
17112 1
 
1.9%
490096 1
 
1.9%
57611 1
 
1.9%
17955 1
 
1.9%
194 1
 
1.9%
Other values (2) 2
 
3.8%
ValueCountFrequency (%)
0 41
78.8%
164 1
 
1.9%
194 1
 
1.9%
4365 1
 
1.9%
15489 1
 
1.9%
17112 1
 
1.9%
17955 1
 
1.9%
18379 1
 
1.9%
20476 1
 
1.9%
57611 1
 
1.9%
ValueCountFrequency (%)
490096 1
1.9%
110573 1
1.9%
57611 1
1.9%
20476 1
1.9%
18379 1
1.9%
17955 1
1.9%
17112 1
1.9%
15489 1
1.9%
4365 1
1.9%
194 1
1.9%

하천 면적
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9038462
Minimum0
Maximum70
Zeros41
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:07.287604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26.35
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.554913
Coefficient of variation (CV)2.7641392
Kurtosis13.074117
Mean4.9038462
Median Absolute Deviation (MAD)0
Skewness3.4965812
Sum255
Variance183.73567
MonotonicityNot monotonic
2023-12-12T17:30:07.434095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 41
78.8%
1 2
 
3.8%
11 1
 
1.9%
23 1
 
1.9%
25 1
 
1.9%
28 1
 
1.9%
70 1
 
1.9%
55 1
 
1.9%
15 1
 
1.9%
7 1
 
1.9%
ValueCountFrequency (%)
0 41
78.8%
1 2
 
3.8%
7 1
 
1.9%
11 1
 
1.9%
15 1
 
1.9%
19 1
 
1.9%
23 1
 
1.9%
25 1
 
1.9%
28 1
 
1.9%
55 1
 
1.9%
ValueCountFrequency (%)
70 1
1.9%
55 1
1.9%
28 1
1.9%
25 1
1.9%
23 1
1.9%
19 1
1.9%
15 1
1.9%
11 1
1.9%
7 1
1.9%
1 2
3.8%

하천 지번수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
48 
20557
 
1
20857
 
1
2405
 
1
698
 
1

Length

Max length5
Median length1
Mean length1.25
Min length1

Unique

Unique4 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
92.3%
20557 1
 
1.9%
20857 1
 
1.9%
2405 1
 
1.9%
698 1
 
1.9%

Length

2023-12-12T17:30:07.597785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:07.727885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
92.3%
20557 1
 
1.9%
20857 1
 
1.9%
2405 1
 
1.9%
698 1
 
1.9%

구거 면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
48 
21
 
1
4
 
1
8
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.0192308
Min length1

Unique

Unique4 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
92.3%
21 1
 
1.9%
4 1
 
1.9%
8 1
 
1.9%
1 1
 
1.9%

Length

2023-12-12T17:30:07.847758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:07.980809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
92.3%
21 1
 
1.9%
4 1
 
1.9%
8 1
 
1.9%
1 1
 
1.9%

구거 지번수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39753.904
Minimum0
Maximum1723325
Zeros29
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:08.095695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3395.75
95-th percentile48203.95
Maximum1723325
Range1723325
Interquartile range (IQR)395.75

Descriptive statistics

Standard deviation238796.48
Coefficient of variation (CV)6.0068686
Kurtosis51.311031
Mean39753.904
Median Absolute Deviation (MAD)0
Skewness7.1426096
Sum2067203
Variance5.7023757 × 1010
MonotonicityNot monotonic
2023-12-12T17:30:08.261371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 29
55.8%
87 1
 
1.9%
303 1
 
1.9%
32634 1
 
1.9%
13848 1
 
1.9%
13366 1
 
1.9%
59430 1
 
1.9%
107596 1
 
1.9%
1723325 1
 
1.9%
35576 1
 
1.9%
Other values (14) 14
26.9%
ValueCountFrequency (%)
0 29
55.8%
63 1
 
1.9%
69 1
 
1.9%
87 1
 
1.9%
112 1
 
1.9%
138 1
 
1.9%
139 1
 
1.9%
164 1
 
1.9%
179 1
 
1.9%
244 1
 
1.9%
ValueCountFrequency (%)
1723325 1
1.9%
107596 1
1.9%
59430 1
1.9%
39019 1
1.9%
35576 1
1.9%
34543 1
1.9%
32634 1
1.9%
13848 1
1.9%
13366 1
1.9%
3688 1
1.9%

유지 면적
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.519231
Minimum0
Maximum126
Zeros29
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:08.422033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile81.85
Maximum126
Range126
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation28.937722
Coefficient of variation (CV)2.5121228
Kurtosis7.3902729
Mean11.519231
Median Absolute Deviation (MAD)0
Skewness2.8619741
Sum599
Variance837.39178
MonotonicityNot monotonic
2023-12-12T17:30:08.584734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 29
55.8%
2 7
 
13.5%
1 3
 
5.8%
4 2
 
3.8%
6 1
 
1.9%
8 1
 
1.9%
5 1
 
1.9%
31 1
 
1.9%
89 1
 
1.9%
110 1
 
1.9%
Other values (5) 5
 
9.6%
ValueCountFrequency (%)
0 29
55.8%
1 3
 
5.8%
2 7
 
13.5%
4 2
 
3.8%
5 1
 
1.9%
6 1
 
1.9%
8 1
 
1.9%
22 1
 
1.9%
26 1
 
1.9%
31 1
 
1.9%
ValueCountFrequency (%)
126 1
1.9%
110 1
1.9%
89 1
1.9%
76 1
1.9%
75 1
1.9%
31 1
1.9%
26 1
1.9%
22 1
1.9%
8 1
1.9%
6 1
1.9%

유지 지번수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71416.712
Minimum0
Maximum3376825
Zeros45
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:08.731234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile68256.6
Maximum3376825
Range3376825
Interquartile range (IQR)0

Descriptive statistics

Standard deviation467830.06
Coefficient of variation (CV)6.5507085
Kurtosis51.781244
Mean71416.712
Median Absolute Deviation (MAD)0
Skewness7.1890751
Sum3713669
Variance2.1886496 × 1011
MonotonicityNot monotonic
2023-12-12T17:30:08.895136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 45
86.5%
61098 1
 
1.9%
77006 1
 
1.9%
3376825 1
 
1.9%
54846 1
 
1.9%
100399 1
 
1.9%
3211 1
 
1.9%
40284 1
 
1.9%
ValueCountFrequency (%)
0 45
86.5%
3211 1
 
1.9%
40284 1
 
1.9%
54846 1
 
1.9%
61098 1
 
1.9%
77006 1
 
1.9%
100399 1
 
1.9%
3376825 1
 
1.9%
ValueCountFrequency (%)
3376825 1
 
1.9%
100399 1
 
1.9%
77006 1
 
1.9%
61098 1
 
1.9%
54846 1
 
1.9%
40284 1
 
1.9%
3211 1
 
1.9%
0 45
86.5%

양어장 면적
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0192308
Minimum0
Maximum36
Zeros45
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:09.041809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14.45
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.5274395
Coefficient of variation (CV)3.2326367
Kurtosis16.05242
Mean2.0192308
Median Absolute Deviation (MAD)0
Skewness3.8666849
Sum105
Variance42.607466
MonotonicityNot monotonic
2023-12-12T17:30:09.190531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 45
86.5%
3 2
 
3.8%
11 1
 
1.9%
23 1
 
1.9%
14 1
 
1.9%
36 1
 
1.9%
15 1
 
1.9%
ValueCountFrequency (%)
0 45
86.5%
3 2
 
3.8%
11 1
 
1.9%
14 1
 
1.9%
15 1
 
1.9%
23 1
 
1.9%
36 1
 
1.9%
ValueCountFrequency (%)
36 1
 
1.9%
23 1
 
1.9%
15 1
 
1.9%
14 1
 
1.9%
11 1
 
1.9%
3 2
 
3.8%
0 45
86.5%

양어장 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
52 

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 52
100.0%

Length

2023-12-12T17:30:09.353374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:09.476833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
100.0%

수도용지 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
52 

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 52
100.0%

Length

2023-12-12T17:30:09.587511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:09.714821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
100.0%

수도용지 지번수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
50 
23380
 
1
3385
 
1

Length

Max length5
Median length1
Mean length1.1346154
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
96.2%
23380 1
 
1.9%
3385 1
 
1.9%

Length

2023-12-12T17:30:09.869160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:09.984146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
96.2%
23380 1
 
1.9%
3385 1
 
1.9%

공원 면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
50 
3
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
96.2%
3 1
 
1.9%
1 1
 
1.9%

Length

2023-12-12T17:30:10.089200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:10.215504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
96.2%
3 1
 
1.9%
1 1
 
1.9%

공원 지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128882
Minimum0
Maximum2339978
Zeros41
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:10.354102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1046337.8
Maximum2339978
Range2339978
Interquartile range (IQR)0

Descriptive statistics

Standard deviation437642.76
Coefficient of variation (CV)3.3956857
Kurtosis15.055764
Mean128882
Median Absolute Deviation (MAD)0
Skewness3.8269463
Sum6701864
Variance1.9153118 × 1011
MonotonicityNot monotonic
2023-12-12T17:30:10.500036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 41
78.8%
24381 1
 
1.9%
9900 1
 
1.9%
26694 1
 
1.9%
5940 1
 
1.9%
577599 1
 
1.9%
30059 1
 
1.9%
1372858 1
 
1.9%
2339978 1
 
1.9%
1525917 1
 
1.9%
Other values (2) 2
 
3.8%
ValueCountFrequency (%)
0 41
78.8%
5940 1
 
1.9%
9353 1
 
1.9%
9900 1
 
1.9%
24381 1
 
1.9%
26694 1
 
1.9%
30059 1
 
1.9%
577599 1
 
1.9%
779185 1
 
1.9%
1372858 1
 
1.9%
ValueCountFrequency (%)
2339978 1
1.9%
1525917 1
1.9%
1372858 1
1.9%
779185 1
1.9%
577599 1
1.9%
30059 1
1.9%
26694 1
1.9%
24381 1
1.9%
9900 1
1.9%
9353 1
1.9%

체육용지 면적
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.730769
Minimum0
Maximum238
Zeros41
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:10.648801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile129.75
Maximum238
Range238
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.539876
Coefficient of variation (CV)3.4309054
Kurtosis12.849132
Mean14.730769
Median Absolute Deviation (MAD)0
Skewness3.7089373
Sum766
Variance2554.279
MonotonicityNot monotonic
2023-12-12T17:30:10.792265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 41
78.8%
3 2
 
3.8%
5 1
 
1.9%
4 1
 
1.9%
10 1
 
1.9%
24 1
 
1.9%
6 1
 
1.9%
193 1
 
1.9%
202 1
 
1.9%
238 1
 
1.9%
ValueCountFrequency (%)
0 41
78.8%
3 2
 
3.8%
4 1
 
1.9%
5 1
 
1.9%
6 1
 
1.9%
10 1
 
1.9%
24 1
 
1.9%
78 1
 
1.9%
193 1
 
1.9%
202 1
 
1.9%
ValueCountFrequency (%)
238 1
1.9%
202 1
1.9%
193 1
1.9%
78 1
1.9%
24 1
1.9%
10 1
1.9%
6 1
1.9%
5 1
1.9%
4 1
1.9%
3 2
3.8%

체육용지 지번수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108134.83
Minimum0
Maximum3922835
Zeros46
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:10.919739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22190.65
Maximum3922835
Range3922835
Interquartile range (IQR)0

Descriptive statistics

Standard deviation585874.81
Coefficient of variation (CV)5.418003
Kurtosis37.518139
Mean108134.83
Median Absolute Deviation (MAD)0
Skewness5.9946204
Sum5623011
Variance3.432493 × 1011
MonotonicityNot monotonic
2023-12-12T17:30:11.074001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 46
88.5%
8251 1
 
1.9%
992 1
 
1.9%
39228 1
 
1.9%
1650307 1
 
1.9%
3922835 1
 
1.9%
1398 1
 
1.9%
ValueCountFrequency (%)
0 46
88.5%
992 1
 
1.9%
1398 1
 
1.9%
8251 1
 
1.9%
39228 1
 
1.9%
1650307 1
 
1.9%
3922835 1
 
1.9%
ValueCountFrequency (%)
3922835 1
 
1.9%
1650307 1
 
1.9%
39228 1
 
1.9%
8251 1
 
1.9%
1398 1
 
1.9%
992 1
 
1.9%
0 46
88.5%

유원지 면적
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.80769231
Minimum0
Maximum26
Zeros46
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:11.239450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.35
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7627611
Coefficient of variation (CV)4.6586566
Kurtosis41.332067
Mean0.80769231
Median Absolute Deviation (MAD)0
Skewness6.2304057
Sum42
Variance14.158371
MonotonicityNot monotonic
2023-12-12T17:30:11.373861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 46
88.5%
1 2
 
3.8%
2 1
 
1.9%
7 1
 
1.9%
5 1
 
1.9%
26 1
 
1.9%
ValueCountFrequency (%)
0 46
88.5%
1 2
 
3.8%
2 1
 
1.9%
5 1
 
1.9%
7 1
 
1.9%
26 1
 
1.9%
ValueCountFrequency (%)
26 1
 
1.9%
7 1
 
1.9%
5 1
 
1.9%
2 1
 
1.9%
1 2
 
3.8%
0 46
88.5%

유원지 지번수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
48 
1039660
 
1
148574
 
1
1268
 
1
1925
 
1

Length

Max length7
Median length1
Mean length1.3269231
Min length1

Unique

Unique4 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
92.3%
1039660 1
 
1.9%
148574 1
 
1.9%
1268 1
 
1.9%
1925 1
 
1.9%

Length

2023-12-12T17:30:11.560136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:12.021393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
92.3%
1039660 1
 
1.9%
148574 1
 
1.9%
1268 1
 
1.9%
1925 1
 
1.9%

종교용지 면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
48 
575
 
1
156
 
1
2
 
1
6
 
1

Length

Max length3
Median length1
Mean length1.0769231
Min length1

Unique

Unique4 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
92.3%
575 1
 
1.9%
156 1
 
1.9%
2 1
 
1.9%
6 1
 
1.9%

Length

2023-12-12T17:30:12.190818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:12.332450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
92.3%
575 1
 
1.9%
156 1
 
1.9%
2 1
 
1.9%
6 1
 
1.9%

종교용지 지번수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2025.1731
Minimum0
Maximum22511
Zeros28
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:12.491364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31729
95-th percentile11764.95
Maximum22511
Range22511
Interquartile range (IQR)1729

Descriptive statistics

Standard deviation4398.3421
Coefficient of variation (CV)2.1718352
Kurtosis9.950206
Mean2025.1731
Median Absolute Deviation (MAD)0
Skewness3.0304868
Sum105309
Variance19345413
MonotonicityNot monotonic
2023-12-12T17:30:12.671545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 28
53.8%
2074 1
 
1.9%
539 1
 
1.9%
1628 1
 
1.9%
581 1
 
1.9%
2043 1
 
1.9%
2032 1
 
1.9%
10203 1
 
1.9%
22511 1
 
1.9%
13674 1
 
1.9%
Other values (15) 15
28.8%
ValueCountFrequency (%)
0 28
53.8%
268 1
 
1.9%
393 1
 
1.9%
487 1
 
1.9%
518 1
 
1.9%
531 1
 
1.9%
539 1
 
1.9%
581 1
 
1.9%
588 1
 
1.9%
790 1
 
1.9%
ValueCountFrequency (%)
22511 1
1.9%
13903 1
1.9%
13674 1
1.9%
10203 1
1.9%
9547 1
1.9%
5248 1
1.9%
4705 1
1.9%
4652 1
1.9%
4297 1
1.9%
2937 1
1.9%

사적지 면적
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0192308
Minimum0
Maximum11
Zeros28
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:12.792208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile8
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9736779
Coefficient of variation (CV)1.4726786
Kurtosis1.2000284
Mean2.0192308
Median Absolute Deviation (MAD)0
Skewness1.4602508
Sum105
Variance8.8427602
MonotonicityNot monotonic
2023-12-12T17:30:12.936812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 28
53.8%
1 5
 
9.6%
2 4
 
7.7%
4 4
 
7.7%
8 2
 
3.8%
7 2
 
3.8%
6 2
 
3.8%
5 2
 
3.8%
3 1
 
1.9%
11 1
 
1.9%
ValueCountFrequency (%)
0 28
53.8%
1 5
 
9.6%
2 4
 
7.7%
3 1
 
1.9%
4 4
 
7.7%
5 2
 
3.8%
6 2
 
3.8%
7 2
 
3.8%
8 2
 
3.8%
10 1
 
1.9%
ValueCountFrequency (%)
11 1
 
1.9%
10 1
 
1.9%
8 2
 
3.8%
7 2
 
3.8%
6 2
 
3.8%
5 2
 
3.8%
4 4
7.7%
3 1
 
1.9%
2 4
7.7%
1 5
9.6%

사적지 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
52 

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 52
100.0%

Length

2023-12-12T17:30:13.098704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:13.194883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
100.0%

묘지 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
52 

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 52
100.0%

Length

2023-12-12T17:30:13.319367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:30:13.444261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
100.0%

묘지 지번수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1881.6923
Minimum0
Maximum63151
Zeros46
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:13.565881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5069.55
Maximum63151
Range63151
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9217.7699
Coefficient of variation (CV)4.8986595
Kurtosis40.335983
Mean1881.6923
Median Absolute Deviation (MAD)0
Skewness6.1836322
Sum97848
Variance84967281
MonotonicityNot monotonic
2023-12-12T17:30:13.713935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 46
88.5%
1029 1
 
1.9%
1627 1
 
1.9%
6620 1
 
1.9%
63151 1
 
1.9%
3801 1
 
1.9%
21620 1
 
1.9%
ValueCountFrequency (%)
0 46
88.5%
1029 1
 
1.9%
1627 1
 
1.9%
3801 1
 
1.9%
6620 1
 
1.9%
21620 1
 
1.9%
63151 1
 
1.9%
ValueCountFrequency (%)
63151 1
 
1.9%
21620 1
 
1.9%
6620 1
 
1.9%
3801 1
 
1.9%
1627 1
 
1.9%
1029 1
 
1.9%
0 46
88.5%

잡종지 면적
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34615385
Minimum0
Maximum6
Zeros46
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:13.870550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.45
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1182026
Coefficient of variation (CV)3.2303631
Kurtosis14.668172
Mean0.34615385
Median Absolute Deviation (MAD)0
Skewness3.7281957
Sum18
Variance1.2503771
MonotonicityNot monotonic
2023-12-12T17:30:14.021928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 46
88.5%
2 2
 
3.8%
4 1
 
1.9%
3 1
 
1.9%
6 1
 
1.9%
1 1
 
1.9%
ValueCountFrequency (%)
0 46
88.5%
1 1
 
1.9%
2 2
 
3.8%
3 1
 
1.9%
4 1
 
1.9%
6 1
 
1.9%
ValueCountFrequency (%)
6 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
2 2
 
3.8%
1 1
 
1.9%
0 46
88.5%

잡종지 지번수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855504.04
Minimum0
Maximum35996695
Zeros25
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T17:30:14.164668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q3957.25
95-th percentile1312516.5
Maximum35996695
Range35996695
Interquartile range (IQR)957.25

Descriptive statistics

Standard deviation5000363.1
Coefficient of variation (CV)5.8449322
Kurtosis50.620009
Mean855504.04
Median Absolute Deviation (MAD)4.5
Skewness7.0762761
Sum44486210
Variance2.5003631 × 1013
MonotonicityNot monotonic
2023-12-12T17:30:14.360511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 25
48.1%
884807 1
 
1.9%
26983 1
 
1.9%
15395 1
 
1.9%
128970 1
 
1.9%
349792 1
 
1.9%
920841 1
 
1.9%
35996695 1
 
1.9%
32527 1
 
1.9%
1791231 1
 
1.9%
Other values (18) 18
34.6%
ValueCountFrequency (%)
0 25
48.1%
2 1
 
1.9%
7 1
 
1.9%
14 1
 
1.9%
41 1
 
1.9%
44 1
 
1.9%
73 1
 
1.9%
83 1
 
1.9%
112 1
 
1.9%
281 1
 
1.9%
ValueCountFrequency (%)
35996695 1
1.9%
3414475 1
1.9%
1791231 1
1.9%
920841 1
1.9%
917743 1
1.9%
884807 1
1.9%
349792 1
1.9%
128970 1
1.9%
32527 1
1.9%
26983 1
1.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2023-07-31 00:00:00
Maximum2023-07-31 00:00:00
2023-12-12T17:30:14.543428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:30:14.650480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

토지소재지전 면적전 지번수답 면적답 지번수과수원 면적과수원 지번수목장용지 면적목장용지 지번수임야 면적임야 지번수광천 면적광천 지번수염전 면적염전 지번수대 면적대 지번수공장용지 면적공장용지 지번수학교용지 면적학교용지 지번수주차장 면적주차장 지번수주유소용지 면적주유소용지 지번수창고용지 면적창고용지 지번수도로 면적도로 지번수철도용지 면적철도용지 지번수제방 면적제방 지번수하천 면적하천 지번수구거 면적구거 지번수유지 면적유지 지번수양어장 면적양어장 지번수수도용지 면적수도용지 지번수공원 면적공원 지번수체육용지 면적체육용지 지번수유원지 면적유원지 지번수종교용지 면적종교용지 지번수사적지 면적사적지 지번수묘지 면적묘지 지번수잡종지 면적잡종지 지번수데이터기준일자
0중앙동1가500000000000000059444700000000003236100000087200000000000000000002023-07-31
1중앙동2가44000000000000006668430000000000308810000000000000000000000000002023-07-31
2중앙동3가850000000000000011033830000000000461420000000000000000000000000002023-07-31
3중앙동4가950000000000000089348900000000006888500000000000000000000000000142023-07-31
4해안동1가3600000000000000649330000000000062014000000179200000000000000000002023-07-31
5해안동2가490000000000000063904500007610000611230000000000000000000000000002023-07-31
6해안동3가15000000000000003460100000000000431950000000000000000000000000002023-07-31
7해안동4가110000000000000087960000215710000468940000000000000000000000000002023-07-31
8관동1가720000000000000017495660000000000535260000000000000000000000000002023-07-31
9관동2가65000000000000007435640000000000424510000000000000000000000000002023-07-31
토지소재지전 면적전 지번수답 면적답 지번수과수원 면적과수원 지번수목장용지 면적목장용지 지번수임야 면적임야 지번수광천 면적광천 지번수염전 면적염전 지번수대 면적대 지번수공장용지 면적공장용지 지번수학교용지 면적학교용지 지번수주차장 면적주차장 지번수주유소용지 면적주유소용지 지번수창고용지 면적창고용지 지번수도로 면적도로 지번수철도용지 면적철도용지 지번수제방 면적제방 지번수하천 면적하천 지번수구거 면적구거 지번수유지 면적유지 지번수양어장 면적양어장 지번수수도용지 면적수도용지 지번수공원 면적공원 지번수체육용지 면적체육용지 지번수유원지 면적유원지 지번수종교용지 면적종교용지 지번수사적지 면적사적지 지번수묘지 면적묘지 지번수잡종지 면적잡종지 지번수데이터기준일자
42송월동2가112000000000000001478790000023461000010597210000000000000000000000000002023-07-31
43송월동3가422000000000000003139033100649911138300001789581000000000000000000005248500001122023-07-31
44중산동592455430466077333177929814130016904706600000263243215943132338105338951060176493625195140232711147238131105732500390193161098300001372858193165030751039660575136748000017912312023-07-31
45운남동6882506277628605968598245511200222180271100447802105275049331741190219137111471712434622001449556122100171122820557213557689770061100002339978202000022511110010294325272023-07-31
46운서동7549557832674740053682198143004188574693005741145023445662635949612314874286197574919590116298303961198351565515385234900967020857417233251103376825230023380315259172383922835260010203100016273359966952023-07-31
47운북동75508374301058107711911741863120313524520292122900002345926181720301369423339927877156813451344342163993049485761155240581075961265484614003385177918578139811485741562032200662029208412023-07-31
48을왕동546964302089760586180012009120044533791312002724167672093197529810020788773510051182911340017955156981594307610039936000093533001268220434006315163497922023-07-31
49남북동343354233375048949666916309800197066970100456136283648477003013542796222556181133837757592039911941001336622321130000000000581100380121289702023-07-31
50덕교동271231664550721924037236004002020838102700001929423560000003511001463133940043657001384826000000000000162820000153952023-07-31
51무의동389842403986923790550125659360091352151418000026092556700939831165243672005490735300154891900326347540284150000000019256539400216201269832023-07-31