Overview

Dataset statistics

Number of variables59
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.8 KiB
Average record size in memory531.9 B

Variable types

Text1
Numeric50
Categorical8

Dataset

Description경기도 가평군의 지목별(전, 답, 임야, 대, 과수원, 목장용지, 공장용지 등) 토지현황에 관한 데이터를 리 단위로 제공합니다.
Author경기도 가평군
URLhttps://www.data.go.kr/data/15080992/fileData.do

Alerts

광천 면적 has constant value ""Constant
광천 지번수 has constant value ""Constant
염전 면적 has constant value ""Constant
염전 지번수 has constant value ""Constant
사적지 면적 has constant value ""Constant
사적지 지번수 has constant value ""Constant
수도용지 면적 is highly imbalanced (77.3%)Imbalance
수도용지 지번수 is highly imbalanced (72.4%)Imbalance
토지소재지 has unique valuesUnique
총계 면적 has unique valuesUnique
총계 지번수 has unique valuesUnique
전 면적 has unique valuesUnique
답 면적 has unique valuesUnique
임야 면적 has unique valuesUnique
대 면적 has unique valuesUnique
창고용지 면적 has unique valuesUnique
도로 면적 has unique valuesUnique
하천 면적 has unique valuesUnique
구거 면적 has unique valuesUnique
잡종지 면적 has unique valuesUnique
과수원 면적 has 2 (3.0%) zerosZeros
과수원 지번수 has 2 (3.0%) zerosZeros
목장용지 면적 has 6 (9.0%) zerosZeros
목장용지 지번수 has 6 (9.0%) zerosZeros
공장용지 면적 has 11 (16.4%) zerosZeros
공장용지 지번수 has 11 (16.4%) zerosZeros
학교용지 면적 has 23 (34.3%) zerosZeros
학교용지 지번수 has 23 (34.3%) zerosZeros
주차장 면적 has 6 (9.0%) zerosZeros
주차장 지번수 has 6 (9.0%) zerosZeros
주유소용지 면적 has 35 (52.2%) zerosZeros
주유소용지 지번수 has 35 (52.2%) zerosZeros
철도용지 면적 has 56 (83.6%) zerosZeros
철도용지 지번수 has 56 (83.6%) zerosZeros
제방 면적 has 29 (43.3%) zerosZeros
제방 지번수 has 29 (43.3%) zerosZeros
유지 면적 has 19 (28.4%) zerosZeros
유지 지번수 has 19 (28.4%) zerosZeros
양어장 면적 has 44 (65.7%) zerosZeros
양어장 지번수 has 44 (65.7%) zerosZeros
공원 면적 has 56 (83.6%) zerosZeros
공원 지번수 has 56 (83.6%) zerosZeros
체육용지 면적 has 37 (55.2%) zerosZeros
체육용지 지번수 has 37 (55.2%) zerosZeros
유원지 면적 has 8 (11.9%) zerosZeros
유원지 지번수 has 8 (11.9%) zerosZeros
종교용지 면적 has 2 (3.0%) zerosZeros
종교용지 지번수 has 2 (3.0%) zerosZeros
묘지 면적 has 2 (3.0%) zerosZeros
묘지 지번수 has 2 (3.0%) zerosZeros

Reproduction

Analysis started2024-03-14 17:56:24.479102
Analysis finished2024-03-14 17:56:25.271580
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size664.0 B
2024-03-15T02:56:26.169971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9552239
Min length8

Characters and Unicode

Total characters600
Distinct characters93
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st row25000-가평읍
2nd row25021-읍내리
3rd row25022-대곡리
4th row25023-달전리
5th row25024-하색리
ValueCountFrequency (%)
25000-가평읍 1
 
1.5%
32523-하천리 1
 
1.5%
32525-호명리 1
 
1.5%
32526-고성리 1
 
1.5%
32527-삼회리 1
 
1.5%
33000-상면 1
 
1.5%
33021-연하리 1
 
1.5%
33022-항사리 1
 
1.5%
33023-행현리 1
 
1.5%
33024-임초리 1
 
1.5%
Other values (57) 57
85.1%
2024-03-15T02:56:27.748080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 82
13.7%
2 80
13.3%
- 67
11.2%
0 66
11.0%
리 61
10.2%
5 47
 
7.8%
1 24
 
4.0%
4 16
 
2.7%
6 6
 
1.0%
곡 6
 
1.0%
Other values (83) 145
24.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 335
55.8%
Other Letter 198
33.0%
Dash Punctuation 67
 
11.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 61
30.8%
곡 6
 
3.0%
상 6
 
3.0%
대 5
 
2.5%
면 5
 
2.5%
천 5
 
2.5%
하 4
 
2.0%
신 3
 
1.5%
안 3
 
1.5%
일 3
 
1.5%
Other values (72) 97
49.0%
Decimal Number
ValueCountFrequency (%)
3 82
24.5%
2 80
23.9%
0 66
19.7%
5 47
14.0%
1 24
 
7.2%
4 16
 
4.8%
6 6
 
1.8%
7 6
 
1.8%
8 5
 
1.5%
9 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 402
67.0%
Hangul 198
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 61
30.8%
곡 6
 
3.0%
상 6
 
3.0%
대 5
 
2.5%
면 5
 
2.5%
천 5
 
2.5%
하 4
 
2.0%
신 3
 
1.5%
안 3
 
1.5%
일 3
 
1.5%
Other values (72) 97
49.0%
Common
ValueCountFrequency (%)
3 82
20.4%
2 80
19.9%
- 67
16.7%
0 66
16.4%
5 47
11.7%
1 24
 
6.0%
4 16
 
4.0%
6 6
 
1.5%
7 6
 
1.5%
8 5
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
67.0%
Hangul 198
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 82
20.4%
2 80
19.9%
- 67
16.7%
0 66
16.4%
5 47
11.7%
1 24
 
6.0%
4 16
 
4.0%
6 6
 
1.5%
7 6
 
1.5%
8 5
 
1.2%
Hangul
ValueCountFrequency (%)
리 61
30.8%
곡 6
 
3.0%
상 6
 
3.0%
대 5
 
2.5%
면 5
 
2.5%
천 5
 
2.5%
하 4
 
2.0%
신 3
 
1.5%
안 3
 
1.5%
일 3
 
1.5%
Other values (72) 97
49.0%

총계 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25158865
Minimum3226386
Maximum2.3109961 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:28.246874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3226386
5-th percentile4310557.2
Q17391143.8
median10942451
Q320598945
95-th percentile1.1278641 × 108
Maximum2.3109961 × 108
Range2.2787322 × 108
Interquartile range (IQR)13207801

Descriptive statistics

Standard deviation40198505
Coefficient of variation (CV)1.5977869
Kurtosis11.752321
Mean25158865
Median Absolute Deviation (MAD)4425492
Skewness3.2801915
Sum1.6856439 × 109
Variance1.6159198 × 1015
MonotonicityNot monotonic
2024-03-15T02:56:28.625844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
144859633.3 1
 
1.5%
11539965.0 1
 
1.5%
6475090.3 1
 
1.5%
10663174.0 1
 
1.5%
10489702.0 1
 
1.5%
17729053.0 1
 
1.5%
3336194.0 1
 
1.5%
12965056.2 1
 
1.5%
12866352.2 1
 
1.5%
6803849.6 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
3226386.0 1
1.5%
3336194.0 1
1.5%
3373139.0 1
1.5%
4235212.7 1
1.5%
4486361.0 1
1.5%
4504631.2 1
1.5%
4968272.0 1
1.5%
5937343.0 1
1.5%
6032067.3 1
1.5%
6174726.2 1
1.5%
ValueCountFrequency (%)
231099609.6 1
1.5%
144859633.3 1
1.5%
141649653.9 1
1.5%
113022686.6 1
1.5%
112235092.5 1
1.5%
99955289.7 1
1.5%
65653352.0 1
1.5%
48207763.0 1
1.5%
39359594.4 1
1.5%
31235613.5 1
1.5%

총계 지번수
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5787.2537
Minimum1062
Maximum43898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:29.033750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1062
5-th percentile1880.6
Q12434
median3001
Q33943.5
95-th percentile25955.1
Maximum43898
Range42836
Interquartile range (IQR)1509.5

Descriptive statistics

Standard deviation8874.1535
Coefficient of variation (CV)1.5333963
Kurtosis10.187681
Mean5787.2537
Median Absolute Deviation (MAD)680
Skewness3.2844894
Sum387746
Variance78750601
MonotonicityNot monotonic
2024-03-15T02:56:29.460923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43898 1
 
1.5%
2598 1
 
1.5%
1880 1
 
1.5%
1809 1
 
1.5%
2724 1
 
1.5%
1882 1
 
1.5%
1062 1
 
1.5%
4007 1
 
1.5%
4613 1
 
1.5%
5029 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1062 1
1.5%
1795 1
1.5%
1809 1
1.5%
1880 1
1.5%
1882 1
1.5%
1917 1
1.5%
1920 1
1.5%
2040 1
1.5%
2142 1
1.5%
2172 1
1.5%
ValueCountFrequency (%)
43898 1
1.5%
41633 1
1.5%
36160 1
1.5%
26646 1
1.5%
24343 1
1.5%
21193 1
1.5%
9503 1
1.5%
7412 1
1.5%
5721 1
1.5%
5029 1
1.5%

전 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1249409.2
Minimum210655
Maximum8718857.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:29.884480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210655
5-th percentile314823.5
Q1501867
median653249
Q3881346
95-th percentile5929664.5
Maximum8718857.8
Range8508202.8
Interquartile range (IQR)379479

Descriptive statistics

Standard deviation1897037.4
Coefficient of variation (CV)1.5183475
Kurtosis8.9441587
Mean1249409.2
Median Absolute Deviation (MAD)162365.9
Skewness3.1304214
Sum83710419
Variance3.5987508 × 1012
MonotonicityNot monotonic
2024-03-15T02:56:30.328928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8625375.7 1
 
1.5%
496317.0 1
 
1.5%
485451.3 1
 
1.5%
417250.0 1
 
1.5%
871080.0 1
 
1.5%
501160.0 1
 
1.5%
355741.0 1
 
1.5%
733063.9 1
 
1.5%
694931.0 1
 
1.5%
444052.0 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
210655.0 1
1.5%
253553.0 1
1.5%
280797.2 1
1.5%
310214.0 1
1.5%
325579.0 1
1.5%
327946.0 1
1.5%
355741.0 1
1.5%
391661.2 1
1.5%
403758.0 1
1.5%
417250.0 1
1.5%
ValueCountFrequency (%)
8718857.8 1
1.5%
8625375.7 1
1.5%
8160275.6 1
1.5%
5947087.2 1
1.5%
5889011.4 1
1.5%
4514602.0 1
1.5%
1903052.0 1
1.5%
1647726.0 1
1.5%
1355588.0 1
1.5%
1286898.0 1
1.5%

전 지번수
Real number (ℝ)

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1150.1194
Minimum210
Maximum8815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:30.756811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210
5-th percentile343
Q1520
median634
Q3742.5
95-th percentile5389.9
Maximum8815
Range8605
Interquartile range (IQR)222.5

Descriptive statistics

Standard deviation1742.9747
Coefficient of variation (CV)1.5154728
Kurtosis10.03912
Mean1150.1194
Median Absolute Deviation (MAD)114
Skewness3.2531514
Sum77058
Variance3037960.8
MonotonicityNot monotonic
2024-03-15T02:56:31.172312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618 2
 
3.0%
577 2
 
3.0%
520 2
 
3.0%
537 2
 
3.0%
8815 1
 
1.5%
741 1
 
1.5%
588 1
 
1.5%
391 1
 
1.5%
210 1
 
1.5%
418 1
 
1.5%
Other values (53) 53
79.1%
ValueCountFrequency (%)
210 1
1.5%
245 1
1.5%
308 1
1.5%
340 1
1.5%
350 1
1.5%
377 1
1.5%
385 1
1.5%
391 1
1.5%
418 1
1.5%
441 1
1.5%
ValueCountFrequency (%)
8815 1
1.5%
8269 1
1.5%
5817 1
1.5%
5491 1
1.5%
5154 1
1.5%
4983 1
1.5%
1820 1
1.5%
1020 1
1.5%
1016 1
1.5%
999 1
1.5%

답 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean729400.34
Minimum89919
Maximum7587383.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:31.567369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89919
5-th percentile178785.98
Q1256167.95
median413113
Q3547441.5
95-th percentile3049175.5
Maximum7587383.5
Range7497464.5
Interquartile range (IQR)291273.55

Descriptive statistics

Standard deviation1213037.2
Coefficient of variation (CV)1.663061
Kurtosis18.540921
Mean729400.34
Median Absolute Deviation (MAD)154293
Skewness4.1004252
Sum48869823
Variance1.4714593 × 1012
MonotonicityNot monotonic
2024-03-15T02:56:31.832834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5507952.5 1
 
1.5%
262375.0 1
 
1.5%
187505.0 1
 
1.5%
212243.0 1
 
1.5%
460226.0 1
 
1.5%
180892.0 1
 
1.5%
185456.0 1
 
1.5%
177883.4 1
 
1.5%
427365.5 1
 
1.5%
453475.0 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
89919.0 1
1.5%
150165.0 1
1.5%
161543.0 1
1.5%
177883.4 1
1.5%
180892.0 1
1.5%
185456.0 1
1.5%
187505.0 1
1.5%
203470.0 1
1.5%
207314.0 1
1.5%
207323.0 1
1.5%
ValueCountFrequency (%)
7587383.5 1
1.5%
5507952.5 1
1.5%
3179571.9 1
1.5%
3175438.4 1
1.5%
2754562.0 1
1.5%
2230003.0 1
1.5%
971022.0 1
1.5%
896119.0 1
1.5%
849408.0 1
1.5%
793779.0 1
1.5%

답 지번수
Real number (ℝ)

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean778.47761
Minimum139
Maximum7618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:32.251832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139
5-th percentile183.9
Q1287
median416
Q3586.5
95-th percentile2955.4
Maximum7618
Range7479
Interquartile range (IQR)299.5

Descriptive statistics

Standard deviation1284.6236
Coefficient of variation (CV)1.6501742
Kurtosis17.291023
Mean778.47761
Median Absolute Deviation (MAD)139
Skewness4.0213843
Sum52158
Variance1650257.9
MonotonicityNot monotonic
2024-03-15T02:56:32.662740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 2
 
3.0%
349 2
 
3.0%
6486 1
 
1.5%
285 1
 
1.5%
193 1
 
1.5%
447 1
 
1.5%
161 1
 
1.5%
154 1
 
1.5%
241 1
 
1.5%
500 1
 
1.5%
Other values (55) 55
82.1%
ValueCountFrequency (%)
139 1
1.5%
154 1
1.5%
161 1
1.5%
180 1
1.5%
193 1
1.5%
200 1
1.5%
214 1
1.5%
225 1
1.5%
230 2
3.0%
241 1
1.5%
ValueCountFrequency (%)
7618 1
1.5%
6486 1
1.5%
3325 1
1.5%
2983 1
1.5%
2891 1
1.5%
2776 1
1.5%
1026 1
1.5%
857 1
1.5%
856 1
1.5%
786 1
1.5%

과수원 면적
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55653.842
Minimum0
Maximum529320.2
Zeros2
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:32.950216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3653.48
Q112830.5
median28142
Q356737.5
95-th percentile235257.52
Maximum529320.2
Range529320.2
Interquartile range (IQR)43907

Descriptive statistics

Standard deviation90375.196
Coefficient of variation (CV)1.6238806
Kurtosis13.686968
Mean55653.842
Median Absolute Deviation (MAD)20199.5
Skewness3.4949038
Sum3728807.4
Variance8.167676 × 109
MonotonicityNot monotonic
2024-03-15T02:56:33.232798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
3.0%
236054.5 1
 
1.5%
7484.0 1
 
1.5%
55731.0 1
 
1.5%
73078.0 1
 
1.5%
47441.0 1
 
1.5%
14212.0 1
 
1.5%
26299.0 1
 
1.5%
14711.0 1
 
1.5%
67418.9 1
 
1.5%
Other values (56) 56
83.6%
ValueCountFrequency (%)
0.0 2
3.0%
1041.0 1
1.5%
3343.4 1
1.5%
4377.0 1
1.5%
6067.0 1
1.5%
6515.0 1
1.5%
6857.0 1
1.5%
6858.7 1
1.5%
7484.0 1
1.5%
7622.0 1
1.5%
ValueCountFrequency (%)
529320.2 1
1.5%
392718.9 1
1.5%
250380.0 1
1.5%
236054.5 1
1.5%
233397.9 1
1.5%
222532.2 1
1.5%
87281.0 1
1.5%
83368.0 1
1.5%
77392.9 1
1.5%
73078.0 1
1.5%

과수원 지번수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.865672
Minimum0
Maximum265
Zeros2
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:33.642918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3
Q110
median18
Q327
95-th percentile146.5
Maximum265
Range265
Interquartile range (IQR)17

Descriptive statistics

Standard deviation48.283536
Coefficient of variation (CV)1.5643119
Kurtosis10.619726
Mean30.865672
Median Absolute Deviation (MAD)8
Skewness3.1931617
Sum2068
Variance2331.2999
MonotonicityNot monotonic
2024-03-15T02:56:34.081675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20 5
 
7.5%
4 4
 
6.0%
11 4
 
6.0%
19 4
 
6.0%
10 4
 
6.0%
17 3
 
4.5%
21 3
 
4.5%
3 2
 
3.0%
1 2
 
3.0%
14 2
 
3.0%
Other values (27) 34
50.7%
ValueCountFrequency (%)
0 2
3.0%
1 2
3.0%
2 1
 
1.5%
3 2
3.0%
4 4
6.0%
5 2
3.0%
8 1
 
1.5%
9 1
 
1.5%
10 4
6.0%
11 4
6.0%
ValueCountFrequency (%)
265 1
1.5%
201 1
1.5%
155 1
1.5%
148 1
1.5%
143 1
1.5%
122 1
1.5%
51 1
1.5%
48 1
1.5%
40 1
1.5%
38 1
1.5%

목장용지 면적
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33653.612
Minimum0
Maximum297865
Zeros6
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:34.507386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16571.5
median16504
Q329381
95-th percentile168565.1
Maximum297865
Range297865
Interquartile range (IQR)22809.5

Descriptive statistics

Standard deviation55790.068
Coefficient of variation (CV)1.6577736
Kurtosis9.5579797
Mean33653.612
Median Absolute Deviation (MAD)10616
Skewness3.019756
Sum2254792
Variance3.1125317 × 109
MonotonicityNot monotonic
2024-03-15T02:56:34.955641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
9.0%
180104 1
 
1.5%
4877 1
 
1.5%
39333 1
 
1.5%
185754 1
 
1.5%
18912 1
 
1.5%
30843 1
 
1.5%
23765 1
 
1.5%
5888 1
 
1.5%
293 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
0 6
9.0%
183 1
 
1.5%
293 1
 
1.5%
883 1
 
1.5%
1982 1
 
1.5%
2595 1
 
1.5%
3020 1
 
1.5%
4877 1
 
1.5%
5678 1
 
1.5%
5740 1
 
1.5%
ValueCountFrequency (%)
297865 1
1.5%
223047 1
1.5%
185754 1
1.5%
180104 1
1.5%
141641 1
1.5%
128085 1
1.5%
98985 1
1.5%
74478 1
1.5%
50090 1
1.5%
44800 1
1.5%

목장용지 지번수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.880597
Minimum0
Maximum195
Zeros6
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:35.358545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median12
Q322
95-th percentile117.4
Maximum195
Range195
Interquartile range (IQR)17

Descriptive statistics

Standard deviation41.64188
Coefficient of variation (CV)1.609
Kurtosis7.3070507
Mean25.880597
Median Absolute Deviation (MAD)9
Skewness2.759121
Sum1734
Variance1734.0461
MonotonicityNot monotonic
2024-03-15T02:56:35.764134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 6
 
9.0%
7 5
 
7.5%
3 5
 
7.5%
10 4
 
6.0%
21 3
 
4.5%
2 3
 
4.5%
13 3
 
4.5%
12 3
 
4.5%
20 3
 
4.5%
6 2
 
3.0%
Other values (27) 30
44.8%
ValueCountFrequency (%)
0 6
9.0%
1 1
 
1.5%
2 3
4.5%
3 5
7.5%
4 1
 
1.5%
5 2
 
3.0%
6 2
 
3.0%
7 5
7.5%
8 2
 
3.0%
9 1
 
1.5%
ValueCountFrequency (%)
195 1
1.5%
173 1
1.5%
169 1
1.5%
121 1
1.5%
109 1
1.5%
100 1
1.5%
92 1
1.5%
52 1
1.5%
42 1
1.5%
40 1
1.5%

임야 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20532621
Minimum1481415
Maximum2.084909 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:36.397917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1481415
5-th percentile1969033.4
Q15009450.8
median9093116
Q317546432
95-th percentile91160228
Maximum2.084909 × 108
Range2.0700948 × 108
Interquartile range (IQR)12536981

Descriptive statistics

Standard deviation34098549
Coefficient of variation (CV)1.6607012
Kurtosis14.54004
Mean20532621
Median Absolute Deviation (MAD)4475734
Skewness3.5024031
Sum1.3756856 × 109
Variance1.1627111 × 1015
MonotonicityNot monotonic
2024-03-15T02:56:36.791865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111309369.3 1
 
1.5%
9914548.0 1
 
1.5%
5169558.0 1
 
1.5%
8823822.0 1
 
1.5%
7752421.0 1
 
1.5%
15861321.0 1
 
1.5%
1939166.0 1
 
1.5%
10436722.0 1
 
1.5%
10294430.9 1
 
1.5%
3749555.0 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1481415.0 1
1.5%
1495060.0 1
1.5%
1562963.0 1
1.5%
1939166.0 1
1.5%
2038724.0 1
1.5%
2286518.0 1
1.5%
2691204.0 1
1.5%
3611562.0 1
1.5%
3733575.0 1
1.5%
3749555.0 1
1.5%
ValueCountFrequency (%)
208490899.0 1
1.5%
111309369.3 1
1.5%
108156565.1 1
1.5%
91893297.6 1
1.5%
89449732.0 1
1.5%
78542945.9 1
1.5%
62254999.0 1
1.5%
44380529.0 1
1.5%
36178608.0 1
1.5%
28278805.3 1
1.5%

임야 지번수
Real number (ℝ)

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1295.0746
Minimum220
Maximum11777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:37.209706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile287.4
Q1468
median638
Q3911.5
95-th percentile5982.1
Maximum11777
Range11557
Interquartile range (IQR)443.5

Descriptive statistics

Standard deviation2089.6267
Coefficient of variation (CV)1.6135183
Kurtosis12.304709
Mean1295.0746
Median Absolute Deviation (MAD)226
Skewness3.4459367
Sum86770
Variance4366539.6
MonotonicityNot monotonic
2024-03-15T02:56:37.629251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
576 2
 
3.0%
1510 1
 
1.5%
3433 1
 
1.5%
375 1
 
1.5%
322 1
 
1.5%
547 1
 
1.5%
417 1
 
1.5%
220 1
 
1.5%
652 1
 
1.5%
1676 1
 
1.5%
Other values (56) 56
83.6%
ValueCountFrequency (%)
220 1
1.5%
227 1
1.5%
267 1
1.5%
285 1
1.5%
293 1
1.5%
311 1
1.5%
320 1
1.5%
322 1
1.5%
341 1
1.5%
356 1
1.5%
ValueCountFrequency (%)
11777 1
1.5%
8362 1
1.5%
8178 1
1.5%
6229 1
1.5%
5406 1
1.5%
3433 1
1.5%
3318 1
1.5%
1796 1
1.5%
1676 1
1.5%
1599 1
1.5%

광천 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
67 

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 67
100.0%

Length

2024-03-15T02:56:38.106909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:56:38.447453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
100.0%

광천 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
67 

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 67
100.0%

Length

2024-03-15T02:56:38.751757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:56:38.918642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
100.0%

염전 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
67 

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 67
100.0%

Length

2024-03-15T02:56:39.226879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:56:39.592976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
100.0%

염전 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
67 

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 67
100.0%

Length

2024-03-15T02:56:39.949000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:56:40.280117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
100.0%

대 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean512471.6
Minimum109174
Maximum3656957.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:40.675179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109174
5-th percentile144891.99
Q1184232
median259127
Q3404660
95-th percentile2611487.5
Maximum3656957.3
Range3547783.3
Interquartile range (IQR)220428

Descriptive statistics

Standard deviation777575.82
Coefficient of variation (CV)1.5173052
Kurtosis8.774849
Mean512471.6
Median Absolute Deviation (MAD)83282
Skewness3.0995514
Sum34335597
Variance6.0462415 × 1011
MonotonicityNot monotonic
2024-03-15T02:56:41.222047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3529045.4 1
 
1.5%
325878.0 1
 
1.5%
138501.0 1
 
1.5%
144420.0 1
 
1.5%
221610.0 1
 
1.5%
214788.0 1
 
1.5%
109174.0 1
 
1.5%
425267.2 1
 
1.5%
594479.0 1
 
1.5%
592353.0 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
109174.0 1
1.5%
112799.0 1
1.5%
138501.0 1
1.5%
144420.0 1
1.5%
145993.3 1
1.5%
146183.0 1
1.5%
151092.0 1
1.5%
151363.0 1
1.5%
158297.0 1
1.5%
165543.0 1
1.5%
ValueCountFrequency (%)
3656957.3 1
1.5%
3529045.4 1
1.5%
3073181.6 1
1.5%
2762874.2 1
1.5%
2258252.0 1
1.5%
1887488.0 1
1.5%
676471.6 1
1.5%
594479.0 1
1.5%
592353.0 1
1.5%
567430.0 1
1.5%

대 지번수
Real number (ℝ)

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1002.1493
Minimum156
Maximum8130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:41.793375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile250.8
Q1343.5
median489
Q3734.5
95-th percentile4648.3
Maximum8130
Range7974
Interquartile range (IQR)391

Descriptive statistics

Standard deviation1567.5814
Coefficient of variation (CV)1.5642195
Kurtosis9.9937394
Mean1002.1493
Median Absolute Deviation (MAD)150
Skewness3.1932575
Sum67144
Variance2457311.6
MonotonicityNot monotonic
2024-03-15T02:56:42.280434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
368 2
 
3.0%
356 2
 
3.0%
8130 1
 
1.5%
4110 1
 
1.5%
538 1
 
1.5%
893 1
 
1.5%
4879 1
 
1.5%
607 1
 
1.5%
602 1
 
1.5%
1089 1
 
1.5%
Other values (55) 55
82.1%
ValueCountFrequency (%)
156 1
1.5%
217 1
1.5%
247 1
1.5%
249 1
1.5%
255 1
1.5%
266 1
1.5%
289 1
1.5%
292 1
1.5%
298 1
1.5%
301 1
1.5%
ValueCountFrequency (%)
8130 1
1.5%
6744 1
1.5%
6227 1
1.5%
4879 1
1.5%
4110 1
1.5%
3482 1
1.5%
2017 1
1.5%
1828 1
1.5%
1459 1
1.5%
1092 1
1.5%

공장용지 면적
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19219.851
Minimum0
Maximum227120
Zeros11
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:42.758566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11354.5
median3735
Q316463.5
95-th percentile93238.8
Maximum227120
Range227120
Interquartile range (IQR)15109

Descriptive statistics

Standard deviation36707.936
Coefficient of variation (CV)1.9098971
Kurtosis15.61047
Mean19219.851
Median Absolute Deviation (MAD)3735
Skewness3.5086735
Sum1287730
Variance1.3474726 × 109
MonotonicityNot monotonic
2024-03-15T02:56:43.237875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
16.4%
99563 1
 
1.5%
1279 1
 
1.5%
16833 1
 
1.5%
24299 1
 
1.5%
10940 1
 
1.5%
2444 1
 
1.5%
2089 1
 
1.5%
9701 1
 
1.5%
1652 1
 
1.5%
Other values (47) 47
70.1%
ValueCountFrequency (%)
0 11
16.4%
412 1
 
1.5%
1100 1
 
1.5%
1101 1
 
1.5%
1251 1
 
1.5%
1279 1
 
1.5%
1348 1
 
1.5%
1361 1
 
1.5%
1367 1
 
1.5%
1509 1
 
1.5%
ValueCountFrequency (%)
227120 1
1.5%
111143 1
1.5%
99563 1
1.5%
96171 1
1.5%
86397 1
1.5%
68536 1
1.5%
56433 1
1.5%
55217 1
1.5%
51217 1
1.5%
42171 1
1.5%

공장용지 지번수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.223881
Minimum0
Maximum110
Zeros11
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:43.592346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q312.5
95-th percentile50.7
Maximum110
Range110
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation19.722945
Coefficient of variation (CV)1.7572305
Kurtosis10.798059
Mean11.223881
Median Absolute Deviation (MAD)3
Skewness3.0583475
Sum752
Variance388.99457
MonotonicityNot monotonic
2024-03-15T02:56:43.984329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 11
16.4%
1 9
13.4%
4 8
11.9%
2 8
11.9%
3 5
 
7.5%
5 4
 
6.0%
14 2
 
3.0%
10 2
 
3.0%
63 1
 
1.5%
16 1
 
1.5%
Other values (16) 16
23.9%
ValueCountFrequency (%)
0 11
16.4%
1 9
13.4%
2 8
11.9%
3 5
7.5%
4 8
11.9%
5 4
 
6.0%
6 1
 
1.5%
8 1
 
1.5%
10 2
 
3.0%
12 1
 
1.5%
ValueCountFrequency (%)
110 1
1.5%
77 1
1.5%
63 1
1.5%
57 1
1.5%
36 1
1.5%
35 1
1.5%
34 1
1.5%
29 1
1.5%
28 1
1.5%
27 1
1.5%

학교용지 면적
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16086.269
Minimum0
Maximum145393
Zeros23
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:44.374839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3984
Q311200
95-th percentile75302.3
Maximum145393
Range145393
Interquartile range (IQR)11200

Descriptive statistics

Standard deviation29269.836
Coefficient of variation (CV)1.8195541
Kurtosis7.3034398
Mean16086.269
Median Absolute Deviation (MAD)3984
Skewness2.6294912
Sum1077780
Variance8.5672331 × 108
MonotonicityNot monotonic
2024-03-15T02:56:44.718062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 23
34.3%
120968 1
 
1.5%
3620 1
 
1.5%
5721 1
 
1.5%
40545 1
 
1.5%
10664 1
 
1.5%
16741 1
 
1.5%
3319 1
 
1.5%
9821 1
 
1.5%
68716 1
 
1.5%
Other values (35) 35
52.2%
ValueCountFrequency (%)
0 23
34.3%
542 1
 
1.5%
1700 1
 
1.5%
1959 1
 
1.5%
2005 1
 
1.5%
2258 1
 
1.5%
2631 1
 
1.5%
2866 1
 
1.5%
3319 1
 
1.5%
3620 1
 
1.5%
ValueCountFrequency (%)
145393 1
1.5%
120968 1
1.5%
85719 1
1.5%
77549 1
1.5%
70060 1
1.5%
68716 1
1.5%
53416 1
1.5%
52808 1
1.5%
45994 1
1.5%
41723 1
1.5%

학교용지 지번수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0597015
Minimum0
Maximum70
Zeros23
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:44.972412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36.5
95-th percentile25.2
Maximum70
Range70
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation11.968242
Coefficient of variation (CV)1.9750546
Kurtosis14.601579
Mean6.0597015
Median Absolute Deviation (MAD)2
Skewness3.5524996
Sum406
Variance143.23881
MonotonicityNot monotonic
2024-03-15T02:56:45.200954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 23
34.3%
1 10
14.9%
3 6
 
9.0%
2 5
 
7.5%
4 4
 
6.0%
8 3
 
4.5%
7 2
 
3.0%
14 2
 
3.0%
70 1
 
1.5%
36 1
 
1.5%
Other values (10) 10
14.9%
ValueCountFrequency (%)
0 23
34.3%
1 10
14.9%
2 5
 
7.5%
3 6
 
9.0%
4 4
 
6.0%
5 1
 
1.5%
6 1
 
1.5%
7 2
 
3.0%
8 3
 
4.5%
9 1
 
1.5%
ValueCountFrequency (%)
70 1
1.5%
51 1
1.5%
36 1
1.5%
27 1
1.5%
21 1
1.5%
19 1
1.5%
18 1
1.5%
14 2
3.0%
13 1
1.5%
11 1
1.5%

주차장 면적
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6665.1373
Minimum0
Maximum83907.1
Zeros6
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:45.635080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1744
median1917
Q34732.5
95-th percentile32691.4
Maximum83907.1
Range83907.1
Interquartile range (IQR)3988.5

Descriptive statistics

Standard deviation13824.134
Coefficient of variation (CV)2.0740958
Kurtosis15.992963
Mean6665.1373
Median Absolute Deviation (MAD)1586
Skewness3.7206948
Sum446564.2
Variance1.9110667 × 108
MonotonicityNot monotonic
2024-03-15T02:56:46.069237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
9.0%
1241.0 2
 
3.0%
83907.1 1
 
1.5%
1941.0 1
 
1.5%
254.0 1
 
1.5%
10708.0 1
 
1.5%
6448.0 1
 
1.5%
33787.0 1
 
1.5%
234.0 1
 
1.5%
2092.0 1
 
1.5%
Other values (51) 51
76.1%
ValueCountFrequency (%)
0.0 6
9.0%
30.0 1
 
1.5%
166.0 1
 
1.5%
167.0 1
 
1.5%
234.0 1
 
1.5%
254.0 1
 
1.5%
332.0 1
 
1.5%
408.0 1
 
1.5%
478.0 1
 
1.5%
528.0 1
 
1.5%
ValueCountFrequency (%)
83907.1 1
1.5%
49027.0 1
1.5%
45347.6 1
1.5%
33787.0 1
1.5%
30135.0 1
1.5%
25705.0 1
1.5%
19379.0 1
1.5%
15765.0 1
1.5%
10708.0 1
1.5%
10661.0 1
1.5%

주차장 지번수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.597015
Minimum0
Maximum116
Zeros6
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:46.439300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median4
Q38
95-th percentile48
Maximum116
Range116
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation19.592098
Coefficient of variation (CV)1.8488318
Kurtosis14.940697
Mean10.597015
Median Absolute Deviation (MAD)3
Skewness3.6242297
Sum710
Variance383.85029
MonotonicityNot monotonic
2024-03-15T02:56:46.836205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 11
16.4%
2 7
10.4%
8 6
9.0%
6 6
9.0%
0 6
9.0%
3 5
7.5%
4 5
7.5%
5 4
 
6.0%
14 3
 
4.5%
7 2
 
3.0%
Other values (10) 12
17.9%
ValueCountFrequency (%)
0 6
9.0%
1 11
16.4%
2 7
10.4%
3 5
7.5%
4 5
7.5%
5 4
 
6.0%
6 6
9.0%
7 2
 
3.0%
8 6
9.0%
10 1
 
1.5%
ValueCountFrequency (%)
116 1
 
1.5%
84 1
 
1.5%
55 1
 
1.5%
51 1
 
1.5%
41 1
 
1.5%
31 2
3.0%
28 1
 
1.5%
21 1
 
1.5%
14 3
4.5%
11 2
3.0%

주유소용지 면적
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2131.6418
Minimum0
Maximum21060
Zeros35
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:47.224718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31981.5
95-th percentile9731.6
Maximum21060
Range21060
Interquartile range (IQR)1981.5

Descriptive statistics

Standard deviation4147.1006
Coefficient of variation (CV)1.945496
Kurtosis7.9544523
Mean2131.6418
Median Absolute Deviation (MAD)0
Skewness2.7149646
Sum142820
Variance17198444
MonotonicityNot monotonic
2024-03-15T02:56:47.616756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 35
52.2%
794 2
 
3.0%
16828 1
 
1.5%
11793 1
 
1.5%
2659 1
 
1.5%
1720 1
 
1.5%
970 1
 
1.5%
6444 1
 
1.5%
9726 1
 
1.5%
8879 1
 
1.5%
Other values (22) 22
32.8%
ValueCountFrequency (%)
0 35
52.2%
414 1
 
1.5%
433 1
 
1.5%
580 1
 
1.5%
794 2
 
3.0%
895 1
 
1.5%
955 1
 
1.5%
967 1
 
1.5%
970 1
 
1.5%
992 1
 
1.5%
ValueCountFrequency (%)
21060 1
1.5%
16828 1
1.5%
11793 1
1.5%
9734 1
1.5%
9726 1
1.5%
9418 1
1.5%
8879 1
1.5%
8085 1
1.5%
6444 1
1.5%
5377 1
1.5%

주유소용지 지번수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1641791
Minimum0
Maximum34
Zeros35
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:48.009096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile17.4
Maximum34
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.2658212
Coefficient of variation (CV)1.980236
Kurtosis9.5929857
Mean3.1641791
Median Absolute Deviation (MAD)0
Skewness2.9171202
Sum212
Variance39.260516
MonotonicityNot monotonic
2024-03-15T02:56:48.632122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 35
52.2%
1 8
 
11.9%
2 6
 
9.0%
6 4
 
6.0%
3 3
 
4.5%
21 1
 
1.5%
10 1
 
1.5%
5 1
 
1.5%
18 1
 
1.5%
20 1
 
1.5%
Other values (6) 6
 
9.0%
ValueCountFrequency (%)
0 35
52.2%
1 8
 
11.9%
2 6
 
9.0%
3 3
 
4.5%
4 1
 
1.5%
5 1
 
1.5%
6 4
 
6.0%
8 1
 
1.5%
9 1
 
1.5%
10 1
 
1.5%
ValueCountFrequency (%)
34 1
 
1.5%
21 1
 
1.5%
20 1
 
1.5%
18 1
 
1.5%
16 1
 
1.5%
14 1
 
1.5%
10 1
 
1.5%
9 1
 
1.5%
8 1
 
1.5%
6 4
6.0%

창고용지 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13177.096
Minimum131
Maximum101523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:49.008856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile1318.3
Q13316
median6504
Q312569
95-th percentile69441
Maximum101523
Range101392
Interquartile range (IQR)9253

Descriptive statistics

Standard deviation20707.149
Coefficient of variation (CV)1.5714502
Kurtosis8.6216263
Mean13177.096
Median Absolute Deviation (MAD)3944
Skewness2.9940749
Sum882865.4
Variance4.2878601 × 108
MonotonicityNot monotonic
2024-03-15T02:56:49.454492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80982.7 1
 
1.5%
2232.0 1
 
1.5%
6780.0 1
 
1.5%
14438.0 1
 
1.5%
20041.0 1
 
1.5%
1960.0 1
 
1.5%
4300.0 1
 
1.5%
1902.0 1
 
1.5%
16014.0 1
 
1.5%
10004.0 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
131.0 1
1.5%
778.0 1
1.5%
1020.0 1
1.5%
1312.0 1
1.5%
1333.0 1
1.5%
1851.0 1
1.5%
1902.0 1
1.5%
1936.0 1
1.5%
1960.0 1
1.5%
2124.0 1
1.5%
ValueCountFrequency (%)
101523.0 1
1.5%
86714.0 1
1.5%
80982.7 1
1.5%
74766.0 1
1.5%
57016.0 1
1.5%
40431.0 1
1.5%
22411.0 1
1.5%
22314.0 1
1.5%
20041.0 1
1.5%
18128.0 1
1.5%

창고용지 지번수
Real number (ℝ)

Distinct31
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.626866
Minimum1
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:49.729501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16.5
median12
Q318.5
95-th percentile112.4
Maximum164
Range163
Interquartile range (IQR)12

Descriptive statistics

Standard deviation34.523087
Coefficient of variation (CV)1.5257565
Kurtosis7.6153039
Mean22.626866
Median Absolute Deviation (MAD)6
Skewness2.8819673
Sum1516
Variance1191.8435
MonotonicityNot monotonic
2024-03-15T02:56:50.020417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5 6
 
9.0%
3 5
 
7.5%
15 5
 
7.5%
7 4
 
6.0%
8 4
 
6.0%
13 4
 
6.0%
10 4
 
6.0%
17 4
 
6.0%
4 3
 
4.5%
11 2
 
3.0%
Other values (21) 26
38.8%
ValueCountFrequency (%)
1 1
 
1.5%
3 5
7.5%
4 3
4.5%
5 6
9.0%
6 2
 
3.0%
7 4
6.0%
8 4
6.0%
9 2
 
3.0%
10 4
6.0%
11 2
 
3.0%
ValueCountFrequency (%)
164 1
1.5%
141 1
1.5%
137 1
1.5%
113 1
1.5%
111 1
1.5%
92 1
1.5%
45 1
1.5%
33 1
1.5%
31 1
1.5%
27 1
1.5%

도로 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339708.27
Minimum48654
Maximum2528688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:50.339425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48654
5-th percentile91956.6
Q1119618
median180307.4
Q3263092.8
95-th percentile1619032.1
Maximum2528688
Range2480034
Interquartile range (IQR)143474.8

Descriptive statistics

Standard deviation521450.04
Coefficient of variation (CV)1.5349937
Kurtosis9.2815374
Mean339708.27
Median Absolute Deviation (MAD)67147.6
Skewness3.1587753
Sum22760454
Variance2.7191015 × 1011
MonotonicityNot monotonic
2024-03-15T02:56:50.608067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2528688.0 1
 
1.5%
142469.0 1
 
1.5%
100352.0 1
 
1.5%
218337.0 1
 
1.5%
177925.0 1
 
1.5%
189646.0 1
 
1.5%
48654.0 1
 
1.5%
234646.3 1
 
1.5%
215889.9 1
 
1.5%
270866.8 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
48654.0 1
1.5%
65661.0 1
1.5%
90779.0 1
1.5%
91227.0 1
1.5%
93659.0 1
1.5%
97481.0 1
1.5%
99091.4 1
1.5%
99758.0 1
1.5%
99958.0 1
1.5%
100352.0 1
1.5%
ValueCountFrequency (%)
2528688.0 1
1.5%
2302675.9 1
1.5%
2192066.7 1
1.5%
1625106.2 1
1.5%
1604859.1 1
1.5%
1126831.0 1
1.5%
638664.0 1
1.5%
448478.0 1
1.5%
383056.0 1
1.5%
308197.0 1
1.5%

도로 지번수
Real number (ℝ)

Distinct64
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean866.38806
Minimum98
Maximum6667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:50.860652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile260
Q1351.5
median476
Q3587
95-th percentile4192.5
Maximum6667
Range6569
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation1317.1327
Coefficient of variation (CV)1.5202573
Kurtosis9.9118923
Mean866.38806
Median Absolute Deviation (MAD)122
Skewness3.2387942
Sum58048
Variance1734838.7
MonotonicityNot monotonic
2024-03-15T02:56:51.133441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309 2
 
3.0%
493 2
 
3.0%
349 2
 
3.0%
915 1
 
1.5%
294 1
 
1.5%
346 1
 
1.5%
98 1
 
1.5%
541 1
 
1.5%
475 1
 
1.5%
6667 1
 
1.5%
Other values (54) 54
80.6%
ValueCountFrequency (%)
98 1
1.5%
212 1
1.5%
256 1
1.5%
257 1
1.5%
267 1
1.5%
270 1
1.5%
275 1
1.5%
294 1
1.5%
309 2
3.0%
332 1
1.5%
ValueCountFrequency (%)
6667 1
1.5%
6105 1
1.5%
4658 1
1.5%
4212 1
1.5%
4147 1
1.5%
3235 1
1.5%
1176 1
1.5%
981 1
1.5%
915 1
1.5%
870 1
1.5%

철도용지 면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23419.773
Minimum0
Maximum520195
Zeros56
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:51.446141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile156228.2
Maximum520195
Range520195
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78010.267
Coefficient of variation (CV)3.3309574
Kurtosis26.206708
Mean23419.773
Median Absolute Deviation (MAD)0
Skewness4.7560663
Sum1569124.8
Variance6.0856017 × 109
MonotonicityNot monotonic
2024-03-15T02:56:51.652029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 56
83.6%
264367.4 1
 
1.5%
23123.0 1
 
1.5%
26271.0 1
 
1.5%
104644.0 1
 
1.5%
54846.0 1
 
1.5%
55483.4 1
 
1.5%
520195.0 1
 
1.5%
164972.0 1
 
1.5%
135826.0 1
 
1.5%
Other values (2) 2
 
3.0%
ValueCountFrequency (%)
0.0 56
83.6%
23123.0 1
 
1.5%
26271.0 1
 
1.5%
39301.0 1
 
1.5%
54846.0 1
 
1.5%
55483.4 1
 
1.5%
104644.0 1
 
1.5%
135826.0 1
 
1.5%
164972.0 1
 
1.5%
180096.0 1
 
1.5%
ValueCountFrequency (%)
520195.0 1
1.5%
264367.4 1
1.5%
180096.0 1
1.5%
164972.0 1
1.5%
135826.0 1
1.5%
104644.0 1
1.5%
55483.4 1
1.5%
54846.0 1
1.5%
39301.0 1
1.5%
26271.0 1
1.5%

철도용지 지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.552239
Minimum0
Maximum1049
Zeros56
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:52.026389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile279.1
Maximum1049
Range1049
Interquartile range (IQR)0

Descriptive statistics

Standard deviation157.99773
Coefficient of variation (CV)3.3226138
Kurtosis25.848462
Mean47.552239
Median Absolute Deviation (MAD)0
Skewness4.7293628
Sum3186
Variance24963.281
MonotonicityNot monotonic
2024-03-15T02:56:52.349783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 56
83.6%
544 1
 
1.5%
31 1
 
1.5%
106 1
 
1.5%
217 1
 
1.5%
135 1
 
1.5%
55 1
 
1.5%
1049 1
 
1.5%
400 1
 
1.5%
283 1
 
1.5%
Other values (2) 2
 
3.0%
ValueCountFrequency (%)
0 56
83.6%
31 1
 
1.5%
55 1
 
1.5%
96 1
 
1.5%
106 1
 
1.5%
135 1
 
1.5%
217 1
 
1.5%
270 1
 
1.5%
283 1
 
1.5%
400 1
 
1.5%
ValueCountFrequency (%)
1049 1
1.5%
544 1
1.5%
400 1
1.5%
283 1
1.5%
270 1
1.5%
217 1
1.5%
135 1
1.5%
106 1
1.5%
96 1
1.5%
55 1
1.5%

제방 면적
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9911.4925
Minimum0
Maximum157947
Zeros29
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:52.738892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median728
Q37478
95-th percentile43823.1
Maximum157947
Range157947
Interquartile range (IQR)7478

Descriptive statistics

Standard deviation23845.815
Coefficient of variation (CV)2.4058753
Kurtosis23.504981
Mean9911.4925
Median Absolute Deviation (MAD)728
Skewness4.4277395
Sum664070
Variance5.6862288 × 108
MonotonicityNot monotonic
2024-03-15T02:56:52.980944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 29
43.3%
157947 1
 
1.5%
7589 1
 
1.5%
2771 1
 
1.5%
25 1
 
1.5%
1270 1
 
1.5%
651 1
 
1.5%
75817 1
 
1.5%
22479 1
 
1.5%
3478 1
 
1.5%
Other values (29) 29
43.3%
ValueCountFrequency (%)
0 29
43.3%
25 1
 
1.5%
155 1
 
1.5%
469 1
 
1.5%
651 1
 
1.5%
728 1
 
1.5%
1270 1
 
1.5%
1390 1
 
1.5%
1670 1
 
1.5%
2207 1
 
1.5%
ValueCountFrequency (%)
157947 1
1.5%
75817 1
1.5%
74093 1
1.5%
48828 1
1.5%
32145 1
1.5%
27068 1
1.5%
25254 1
1.5%
23997 1
1.5%
22479 1
1.5%
20096 1
1.5%

제방 지번수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.731343
Minimum0
Maximum390
Zeros29
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:53.214736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q314.5
95-th percentile90.3
Maximum390
Range390
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation54.506764
Coefficient of variation (CV)2.7624457
Kurtosis33.223754
Mean19.731343
Median Absolute Deviation (MAD)1
Skewness5.294137
Sum1322
Variance2970.9873
MonotonicityNot monotonic
2024-03-15T02:56:53.445510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 29
43.3%
2 5
 
7.5%
1 5
 
7.5%
3 4
 
6.0%
27 2
 
3.0%
390 1
 
1.5%
13 1
 
1.5%
18 1
 
1.5%
14 1
 
1.5%
62 1
 
1.5%
Other values (17) 17
25.4%
ValueCountFrequency (%)
0 29
43.3%
1 5
 
7.5%
2 5
 
7.5%
3 4
 
6.0%
4 1
 
1.5%
6 1
 
1.5%
8 1
 
1.5%
9 1
 
1.5%
11 1
 
1.5%
13 1
 
1.5%
ValueCountFrequency (%)
390 1
1.5%
165 1
1.5%
101 1
1.5%
93 1
1.5%
84 1
1.5%
62 1
1.5%
57 1
1.5%
54 1
1.5%
43 1
1.5%
32 1
1.5%

하천 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774036.2
Minimum68063
Maximum6579224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:53.815485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68063
5-th percentile103907.21
Q1187929.5
median357906
Q3663583
95-th percentile3511311
Maximum6579224
Range6511161
Interquartile range (IQR)475653.5

Descriptive statistics

Standard deviation1255540.2
Coefficient of variation (CV)1.622069
Kurtosis10.70078
Mean774036.2
Median Absolute Deviation (MAD)227824
Skewness3.2452514
Sum51860426
Variance1.5763811 × 1012
MonotonicityNot monotonic
2024-03-15T02:56:54.288725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5424982.1 1
 
1.5%
111135.0 1
 
1.5%
180077.0 1
 
1.5%
127154.0 1
 
1.5%
157558.0 1
 
1.5%
259096.0 1
 
1.5%
205686.0 1
 
1.5%
620960.6 1
 
1.5%
227624.5 1
 
1.5%
357906.0 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
68063.0 1
1.5%
73910.0 1
1.5%
83436.0 1
1.5%
103152.8 1
1.5%
105667.5 1
1.5%
111135.0 1
1.5%
112496.0 1
1.5%
112653.0 1
1.5%
113520.8 1
1.5%
127154.0 1
1.5%
ValueCountFrequency (%)
6579224.0 1
1.5%
5424982.1 1
1.5%
5104794.3 1
1.5%
3902935.3 1
1.5%
2597521.1 1
1.5%
2320756.0 1
1.5%
1419775.0 1
1.5%
1392021.0 1
1.5%
1386988.0 1
1.5%
1122065.0 1
1.5%

하천 지번수
Real number (ℝ)

Distinct56
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.13433
Minimum4
Maximum1331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:54.661686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14
Q149.5
median80
Q3130.5
95-th percentile755
Maximum1331
Range1327
Interquartile range (IQR)81

Descriptive statistics

Standard deviation237.97758
Coefficient of variation (CV)1.5746097
Kurtosis11.538831
Mean151.13433
Median Absolute Deviation (MAD)40
Skewness3.3286597
Sum10126
Variance56633.33
MonotonicityNot monotonic
2024-03-15T02:56:55.088801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 3
 
4.5%
40 2
 
3.0%
96 2
 
3.0%
57 2
 
3.0%
35 2
 
3.0%
108 2
 
3.0%
48 2
 
3.0%
14 2
 
3.0%
121 2
 
3.0%
83 2
 
3.0%
Other values (46) 46
68.7%
ValueCountFrequency (%)
4 1
1.5%
6 1
1.5%
7 1
1.5%
14 2
3.0%
23 1
1.5%
25 1
1.5%
26 1
1.5%
31 1
1.5%
35 2
3.0%
40 2
3.0%
ValueCountFrequency (%)
1331 1
1.5%
981 1
1.5%
785 1
1.5%
779 1
1.5%
699 1
1.5%
488 1
1.5%
220 1
1.5%
217 1
1.5%
203 1
1.5%
180 1
1.5%

구거 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297388.69
Minimum28084
Maximum2484391.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:55.582187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28084
5-th percentile53451.1
Q1106926.1
median137662.8
Q3244539
95-th percentile1353033.7
Maximum2484391.7
Range2456307.7
Interquartile range (IQR)137612.9

Descriptive statistics

Standard deviation474146.94
Coefficient of variation (CV)1.5943678
Kurtosis10.587404
Mean297388.69
Median Absolute Deviation (MAD)57099.2
Skewness3.2544938
Sum19925042
Variance2.2481533 × 1011
MonotonicityNot monotonic
2024-03-15T02:56:56.140028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2484391.7 1
 
1.5%
110405.0 1
 
1.5%
53939.0 1
 
1.5%
39630.0 1
 
1.5%
89485.0 1
 
1.5%
213971.0 1
 
1.5%
28084.0 1
 
1.5%
161037.8 1
 
1.5%
112401.5 1
 
1.5%
656203.2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
28084.0 1
1.5%
35827.0 1
1.5%
39630.0 1
1.5%
53242.0 1
1.5%
53939.0 1
1.5%
58677.0 1
1.5%
59861.0 1
1.5%
62700.0 1
1.5%
65709.0 1
1.5%
66558.0 1
1.5%
ValueCountFrequency (%)
2484391.7 1
1.5%
2085504.5 1
1.5%
1872178.6 1
1.5%
1469524.0 1
1.5%
1081223.0 1
1.5%
969699.3 1
1.5%
656203.2 1
1.5%
579394.0 1
1.5%
480165.0 1
1.5%
331766.0 1
1.5%

구거 지번수
Real number (ℝ)

Distinct53
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.25373
Minimum18
Maximum1170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:56.631880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile39.3
Q162.5
median80
Q3109
95-th percentile721.9
Maximum1170
Range1152
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation234.93838
Coefficient of variation (CV)1.5532733
Kurtosis10.674723
Mean151.25373
Median Absolute Deviation (MAD)19
Skewness3.3435045
Sum10134
Variance55196.041
MonotonicityNot monotonic
2024-03-15T02:56:57.142052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 3
 
4.5%
80 3
 
4.5%
78 3
 
4.5%
77 2
 
3.0%
95 2
 
3.0%
86 2
 
3.0%
72 2
 
3.0%
62 2
 
3.0%
45 2
 
3.0%
83 2
 
3.0%
Other values (43) 44
65.7%
ValueCountFrequency (%)
18 1
1.5%
21 1
1.5%
35 1
1.5%
39 1
1.5%
40 1
1.5%
43 1
1.5%
45 2
3.0%
48 1
1.5%
51 1
1.5%
52 1
1.5%
ValueCountFrequency (%)
1170 1
1.5%
1119 1
1.5%
929 1
1.5%
796 1
1.5%
549 1
1.5%
504 1
1.5%
209 1
1.5%
172 1
1.5%
169 1
1.5%
155 1
1.5%

유지 면적
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74166.588
Minimum0
Maximum1371052.7
Zeros19
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:57.855700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1530
Q310140
95-th percentile396010.6
Maximum1371052.7
Range1371052.7
Interquartile range (IQR)10140

Descriptive statistics

Standard deviation222774.54
Coefficient of variation (CV)3.0037048
Kurtosis20.405115
Mean74166.588
Median Absolute Deviation (MAD)1530
Skewness4.2987356
Sum4969161.4
Variance4.9628496 × 1010
MonotonicityNot monotonic
2024-03-15T02:56:58.453861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 19
28.4%
621629.0 1
 
1.5%
864.0 1
 
1.5%
2401.0 1
 
1.5%
8592.0 1
 
1.5%
218.0 1
 
1.5%
1530.0 1
 
1.5%
1262.0 1
 
1.5%
1560.0 1
 
1.5%
506.0 1
 
1.5%
Other values (39) 39
58.2%
ValueCountFrequency (%)
0.0 19
28.4%
28.0 1
 
1.5%
31.0 1
 
1.5%
218.0 1
 
1.5%
410.0 1
 
1.5%
501.0 1
 
1.5%
506.0 1
 
1.5%
864.0 1
 
1.5%
969.0 1
 
1.5%
974.0 1
 
1.5%
ValueCountFrequency (%)
1371052.7 1
1.5%
935501.0 1
1.5%
621629.0 1
1.5%
445003.0 1
1.5%
281695.0 1
1.5%
280959.0 1
1.5%
278135.0 1
1.5%
180641.0 1
1.5%
106154.0 1
1.5%
84288.0 1
1.5%

유지 지번수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.761194
Minimum0
Maximum855
Zeros19
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:59.017347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312.5
95-th percentile198.1
Maximum855
Range855
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation129.43819
Coefficient of variation (CV)3.2553899
Kurtosis27.912966
Mean39.761194
Median Absolute Deviation (MAD)3
Skewness5.0715877
Sum2664
Variance16754.245
MonotonicityNot monotonic
2024-03-15T02:56:59.252107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 19
28.4%
1 9
13.4%
3 7
 
10.4%
4 5
 
7.5%
2 3
 
4.5%
5 2
 
3.0%
12 2
 
3.0%
9 2
 
3.0%
13 1
 
1.5%
59 1
 
1.5%
Other values (16) 16
23.9%
ValueCountFrequency (%)
0 19
28.4%
1 9
13.4%
2 3
 
4.5%
3 7
 
10.4%
4 5
 
7.5%
5 2
 
3.0%
9 2
 
3.0%
10 1
 
1.5%
12 2
 
3.0%
13 1
 
1.5%
ValueCountFrequency (%)
855 1
1.5%
574 1
1.5%
213 1
1.5%
211 1
1.5%
168 1
1.5%
96 1
1.5%
83 1
1.5%
79 1
1.5%
59 1
1.5%
49 1
1.5%

양어장 면적
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1906.6866
Minimum0
Maximum19847
Zeros44
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:56:59.455194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32874.5
95-th percentile8617.3
Maximum19847
Range19847
Interquartile range (IQR)2874.5

Descriptive statistics

Standard deviation3914.4287
Coefficient of variation (CV)2.0530006
Kurtosis10.29295
Mean1906.6866
Median Absolute Deviation (MAD)0
Skewness3.0083121
Sum127748
Variance15322752
MonotonicityNot monotonic
2024-03-15T02:56:59.823662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 44
65.7%
3140 1
 
1.5%
3262 1
 
1.5%
5264 1
 
1.5%
2990 1
 
1.5%
8254 1
 
1.5%
5524 1
 
1.5%
8773 1
 
1.5%
3247 1
 
1.5%
884 1
 
1.5%
Other values (14) 14
 
20.9%
ValueCountFrequency (%)
0 44
65.7%
503 1
 
1.5%
884 1
 
1.5%
969 1
 
1.5%
2171 1
 
1.5%
2233 1
 
1.5%
2759 1
 
1.5%
2990 1
 
1.5%
3140 1
 
1.5%
3247 1
 
1.5%
ValueCountFrequency (%)
19847 1
1.5%
18428 1
1.5%
10943 1
1.5%
8773 1
1.5%
8254 1
1.5%
6176 1
1.5%
5524 1
1.5%
5264 1
1.5%
4937 1
1.5%
4767 1
1.5%

양어장 지번수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3432836
Minimum0
Maximum12
Zeros44
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:00.098982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6.7
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5852275
Coefficient of variation (CV)1.9245582
Kurtosis6.8511593
Mean1.3432836
Median Absolute Deviation (MAD)0
Skewness2.558058
Sum90
Variance6.6834012
MonotonicityNot monotonic
2024-03-15T02:57:00.295831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 44
65.7%
2 7
 
10.4%
3 4
 
6.0%
4 4
 
6.0%
1 3
 
4.5%
12 1
 
1.5%
9 1
 
1.5%
7 1
 
1.5%
11 1
 
1.5%
6 1
 
1.5%
ValueCountFrequency (%)
0 44
65.7%
1 3
 
4.5%
2 7
 
10.4%
3 4
 
6.0%
4 4
 
6.0%
6 1
 
1.5%
7 1
 
1.5%
9 1
 
1.5%
11 1
 
1.5%
12 1
 
1.5%
ValueCountFrequency (%)
12 1
 
1.5%
11 1
 
1.5%
9 1
 
1.5%
7 1
 
1.5%
6 1
 
1.5%
4 4
 
6.0%
3 4
 
6.0%
2 7
 
10.4%
1 3
 
4.5%
0 44
65.7%

수도용지 면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
62 
134
 
2
6879
 
1
502
 
1
6377
 
1

Length

Max length4
Median length1
Mean length1.1791045
Min length1

Unique

Unique3 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 62
92.5%
134 2
 
3.0%
6879 1
 
1.5%
502 1
 
1.5%
6377 1
 
1.5%

Length

2024-03-15T02:57:00.659202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:57:01.010950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
92.5%
134 2
 
3.0%
6879 1
 
1.5%
502 1
 
1.5%
6377 1
 
1.5%

수도용지 지번수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
62 
1
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 62
92.5%
1 4
 
6.0%
2 1
 
1.5%

Length

2024-03-15T02:57:01.381500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:57:01.701299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
92.5%
1 4
 
6.0%
2 1
 
1.5%

공원 면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3797.2746
Minimum0
Maximum67412.7
Zeros56
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:02.026503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27175.6
Maximum67412.7
Range67412.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11055.098
Coefficient of variation (CV)2.9113242
Kurtosis17.017375
Mean3797.2746
Median Absolute Deviation (MAD)0
Skewness3.7955455
Sum254417.4
Variance1.2221518 × 108
MonotonicityNot monotonic
2024-03-15T02:57:02.395512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 56
83.6%
67412.7 1
 
1.5%
6634.0 1
 
1.5%
22601.8 1
 
1.5%
10995.9 1
 
1.5%
27181.0 1
 
1.5%
29680.0 1
 
1.5%
27163.0 1
 
1.5%
2517.0 1
 
1.5%
30116.0 1
 
1.5%
Other values (2) 2
 
3.0%
ValueCountFrequency (%)
0.0 56
83.6%
2517.0 1
 
1.5%
6634.0 1
 
1.5%
8435.0 1
 
1.5%
10995.9 1
 
1.5%
21681.0 1
 
1.5%
22601.8 1
 
1.5%
27163.0 1
 
1.5%
27181.0 1
 
1.5%
29680.0 1
 
1.5%
ValueCountFrequency (%)
67412.7 1
1.5%
30116.0 1
1.5%
29680.0 1
1.5%
27181.0 1
1.5%
27163.0 1
1.5%
22601.8 1
1.5%
21681.0 1
1.5%
10995.9 1
1.5%
8435.0 1
1.5%
6634.0 1
1.5%

공원 지번수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.238806
Minimum0
Maximum37
Zeros56
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:02.719705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.954592
Coefficient of variation (CV)3.1063844
Kurtosis14.861021
Mean2.238806
Median Absolute Deviation (MAD)0
Skewness3.8233658
Sum150
Variance48.36635
MonotonicityNot monotonic
2024-03-15T02:57:03.093296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 56
83.6%
11 2
 
3.0%
31 1
 
1.5%
4 1
 
1.5%
5 1
 
1.5%
37 1
 
1.5%
27 1
 
1.5%
10 1
 
1.5%
7 1
 
1.5%
6 1
 
1.5%
ValueCountFrequency (%)
0 56
83.6%
1 1
 
1.5%
4 1
 
1.5%
5 1
 
1.5%
6 1
 
1.5%
7 1
 
1.5%
10 1
 
1.5%
11 2
 
3.0%
27 1
 
1.5%
31 1
 
1.5%
ValueCountFrequency (%)
37 1
1.5%
31 1
1.5%
27 1
1.5%
11 2
3.0%
10 1
1.5%
7 1
1.5%
6 1
1.5%
5 1
1.5%
4 1
1.5%
1 1
1.5%

체육용지 면적
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158400.07
Minimum0
Maximum2288824.7
Zeros37
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:03.478395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39287.5
95-th percentile998224.66
Maximum2288824.7
Range2288824.7
Interquartile range (IQR)9287.5

Descriptive statistics

Standard deviation453258.52
Coefficient of variation (CV)2.8614792
Kurtosis12.105954
Mean158400.07
Median Absolute Deviation (MAD)0
Skewness3.4147849
Sum10612805
Variance2.0544329 × 1011
MonotonicityNot monotonic
2024-03-15T02:57:03.770258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 37
55.2%
1387.0 2
 
3.0%
1132318.8 1
 
1.5%
7964.0 1
 
1.5%
2145168.5 1
 
1.5%
9185.0 1
 
1.5%
132550.2 1
 
1.5%
1921.0 1
 
1.5%
2288824.7 1
 
1.5%
2364.0 1
 
1.5%
Other values (20) 20
29.9%
ValueCountFrequency (%)
0.0 37
55.2%
482.0 1
 
1.5%
892.0 1
 
1.5%
944.0 1
 
1.5%
1102.0 1
 
1.5%
1387.0 2
 
3.0%
1921.0 1
 
1.5%
1956.0 1
 
1.5%
2364.0 1
 
1.5%
5860.0 1
 
1.5%
ValueCountFrequency (%)
2288824.7 1
1.5%
2145168.5 1
1.5%
1132318.8 1
1.5%
1017722.8 1
1.5%
952729.0 1
1.5%
921753.0 1
1.5%
911226.0 1
1.5%
662593.0 1
1.5%
136011.0 1
1.5%
132550.2 1
1.5%

체육용지 지번수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.089552
Minimum0
Maximum164
Zeros37
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:03.976564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile51.7
Maximum164
Range164
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation26.168296
Coefficient of variation (CV)2.5936033
Kurtosis18.644582
Mean10.089552
Median Absolute Deviation (MAD)0
Skewness3.9290729
Sum676
Variance684.77974
MonotonicityNot monotonic
2024-03-15T02:57:04.194091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 37
55.2%
1 7
 
10.4%
3 4
 
6.0%
6 3
 
4.5%
2 2
 
3.0%
7 2
 
3.0%
4 1
 
1.5%
37 1
 
1.5%
47 1
 
1.5%
11 1
 
1.5%
Other values (8) 8
 
11.9%
ValueCountFrequency (%)
0 37
55.2%
1 7
 
10.4%
2 2
 
3.0%
3 4
 
6.0%
4 1
 
1.5%
6 3
 
4.5%
7 2
 
3.0%
11 1
 
1.5%
19 1
 
1.5%
36 1
 
1.5%
ValueCountFrequency (%)
164 1
1.5%
81 1
1.5%
76 1
1.5%
52 1
1.5%
51 1
1.5%
47 1
1.5%
43 1
1.5%
37 1
1.5%
36 1
1.5%
19 1
1.5%

유원지 면적
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27357.487
Minimum0
Maximum266186.4
Zeros8
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:04.525349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13688.5
median10271
Q327941
95-th percentile105413
Maximum266186.4
Range266186.4
Interquartile range (IQR)24252.5

Descriptive statistics

Standard deviation47844.998
Coefficient of variation (CV)1.7488813
Kurtosis12.366506
Mean27357.487
Median Absolute Deviation (MAD)8811
Skewness3.3300202
Sum1832951.6
Variance2.2891438 × 109
MonotonicityNot monotonic
2024-03-15T02:57:04.918457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
11.9%
100387.0 1
 
1.5%
24804.0 1
 
1.5%
20977.0 1
 
1.5%
11768.0 1
 
1.5%
215411.0 1
 
1.5%
4265.0 1
 
1.5%
919.0 1
 
1.5%
83297.0 1
 
1.5%
76407.0 1
 
1.5%
Other values (50) 50
74.6%
ValueCountFrequency (%)
0.0 8
11.9%
697.0 1
 
1.5%
760.0 1
 
1.5%
919.0 1
 
1.5%
1198.0 1
 
1.5%
1810.0 1
 
1.5%
1889.0 1
 
1.5%
2364.0 1
 
1.5%
2805.0 1
 
1.5%
3400.0 1
 
1.5%
ValueCountFrequency (%)
266186.4 1
1.5%
215411.0 1
1.5%
157956.4 1
1.5%
107567.0 1
1.5%
100387.0 1
1.5%
83297.0 1
1.5%
76407.0 1
1.5%
68968.0 1
1.5%
65784.0 1
1.5%
39739.4 1
1.5%

유원지 지번수
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.716418
Minimum0
Maximum184
Zeros8
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:05.252792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q321
95-th percentile86.2
Maximum184
Range184
Interquartile range (IQR)18

Descriptive statistics

Standard deviation34.440025
Coefficient of variation (CV)1.6624508
Kurtosis9.9802128
Mean20.716418
Median Absolute Deviation (MAD)6
Skewness3.029152
Sum1388
Variance1186.1153
MonotonicityNot monotonic
2024-03-15T02:57:05.486300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 8
 
11.9%
4 5
 
7.5%
2 4
 
6.0%
5 4
 
6.0%
6 4
 
6.0%
3 4
 
6.0%
1 3
 
4.5%
13 3
 
4.5%
21 2
 
3.0%
7 2
 
3.0%
Other values (25) 28
41.8%
ValueCountFrequency (%)
0 8
11.9%
1 3
 
4.5%
2 4
6.0%
3 4
6.0%
4 5
7.5%
5 4
6.0%
6 4
6.0%
7 2
 
3.0%
8 1
 
1.5%
9 1
 
1.5%
ValueCountFrequency (%)
184 1
1.5%
143 1
1.5%
128 1
1.5%
88 1
1.5%
82 1
1.5%
69 1
1.5%
50 1
1.5%
49 1
1.5%
44 1
1.5%
34 1
1.5%

종교용지 면적
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15940.537
Minimum0
Maximum111298
Zeros2
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:05.831756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile320
Q12315.5
median6316
Q316516.5
95-th percentile82303.1
Maximum111298
Range111298
Interquartile range (IQR)14201

Descriptive statistics

Standard deviation25076.65
Coefficient of variation (CV)1.5731371
Kurtosis6.4148732
Mean15940.537
Median Absolute Deviation (MAD)5318
Skewness2.6234877
Sum1068016
Variance6.2883837 × 108
MonotonicityNot monotonic
2024-03-15T02:57:06.160616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
3.0%
2761 1
 
1.5%
58547 1
 
1.5%
5370 1
 
1.5%
18902 1
 
1.5%
9473 1
 
1.5%
1013 1
 
1.5%
20034 1
 
1.5%
7199 1
 
1.5%
6316 1
 
1.5%
Other values (56) 56
83.6%
ValueCountFrequency (%)
0 2
3.0%
21 1
1.5%
317 1
1.5%
327 1
1.5%
564 1
1.5%
661 1
1.5%
892 1
1.5%
998 1
1.5%
1002 1
1.5%
1013 1
1.5%
ValueCountFrequency (%)
111298 1
1.5%
103948 1
1.5%
96846 1
1.5%
83231 1
1.5%
80138 1
1.5%
58547 1
1.5%
33530 1
1.5%
29769 1
1.5%
29091 1
1.5%
26771 1
1.5%

종교용지 지번수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.746269
Minimum0
Maximum88
Zeros2
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:06.551293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q313.5
95-th percentile66
Maximum88
Range88
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation19.634805
Coefficient of variation (CV)1.5404355
Kurtosis6.7134658
Mean12.746269
Median Absolute Deviation (MAD)4
Skewness2.7113989
Sum854
Variance385.52555
MonotonicityNot monotonic
2024-03-15T02:57:06.939184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 10
14.9%
6 7
 
10.4%
3 6
 
9.0%
4 4
 
6.0%
9 4
 
6.0%
2 4
 
6.0%
13 3
 
4.5%
14 3
 
4.5%
7 3
 
4.5%
8 3
 
4.5%
Other values (14) 20
29.9%
ValueCountFrequency (%)
0 2
 
3.0%
1 10
14.9%
2 4
 
6.0%
3 6
9.0%
4 4
 
6.0%
5 3
 
4.5%
6 7
10.4%
7 3
 
4.5%
8 3
 
4.5%
9 4
 
6.0%
ValueCountFrequency (%)
88 1
1.5%
83 1
1.5%
73 1
1.5%
66 2
3.0%
51 1
1.5%
24 1
1.5%
22 1
1.5%
19 1
1.5%
17 2
3.0%
16 1
1.5%

사적지 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
67 

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 67
100.0%

Length

2024-03-15T02:57:07.169601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:57:07.334293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
100.0%

사적지 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
0
67 

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 67
100.0%

Length

2024-03-15T02:57:07.507650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:57:07.683157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
100.0%

묘지 면적
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23417.69
Minimum0
Maximum185224.6
Zeros2
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:08.021717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile620.4
Q12072.5
median10343
Q323814.5
95-th percentile111084.7
Maximum185224.6
Range185224.6
Interquartile range (IQR)21742

Descriptive statistics

Standard deviation38493.385
Coefficient of variation (CV)1.6437738
Kurtosis8.4912923
Mean23417.69
Median Absolute Deviation (MAD)9353
Skewness2.8612126
Sum1568985.2
Variance1.4817407 × 109
MonotonicityNot monotonic
2024-03-15T02:57:08.720496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
3.0%
185224.6 1
 
1.5%
85653.0 1
 
1.5%
2957.0 1
 
1.5%
21357.0 1
 
1.5%
4339.0 1
 
1.5%
179810.0 1
 
1.5%
29204.0 1
 
1.5%
14727.0 1
 
1.5%
36254.0 1
 
1.5%
Other values (56) 56
83.6%
ValueCountFrequency (%)
0.0 2
3.0%
212.0 1
1.5%
576.0 1
1.5%
724.0 1
1.5%
747.0 1
1.5%
921.0 1
1.5%
990.0 1
1.5%
1065.0 1
1.5%
1180.0 1
1.5%
1216.0 1
1.5%
ValueCountFrequency (%)
185224.6 1
1.5%
179810.0 1
1.5%
128193.0 1
1.5%
121984.0 1
1.5%
85653.0 1
1.5%
83628.0 1
1.5%
71267.0 1
1.5%
49357.0 1
1.5%
37185.0 1
1.5%
36254.0 1
1.5%

묘지 지번수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.80597
Minimum0
Maximum133
Zeros2
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:09.229398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q316
95-th percentile71.8
Maximum133
Range133
Interquartile range (IQR)11

Descriptive statistics

Standard deviation26.474824
Coefficient of variation (CV)1.5753226
Kurtosis9.386594
Mean16.80597
Median Absolute Deviation (MAD)4
Skewness3.0703052
Sum1126
Variance700.91633
MonotonicityNot monotonic
2024-03-15T02:57:09.453226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6 7
 
10.4%
7 5
 
7.5%
3 5
 
7.5%
5 5
 
7.5%
4 5
 
7.5%
9 4
 
6.0%
11 3
 
4.5%
17 3
 
4.5%
14 3
 
4.5%
1 3
 
4.5%
Other values (19) 24
35.8%
ValueCountFrequency (%)
0 2
 
3.0%
1 3
4.5%
2 1
 
1.5%
3 5
7.5%
4 5
7.5%
5 5
7.5%
6 7
10.4%
7 5
7.5%
8 2
 
3.0%
9 4
6.0%
ValueCountFrequency (%)
133 1
1.5%
120 1
1.5%
101 1
1.5%
73 1
1.5%
69 1
1.5%
67 1
1.5%
39 1
1.5%
26 1
1.5%
24 1
1.5%
22 1
1.5%

잡종지 면적
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238714.75
Minimum2174
Maximum2504913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:09.803149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2174
5-th percentile6248.4
Q118761.5
median55601
Q3239204.5
95-th percentile1035277.1
Maximum2504913
Range2502739
Interquartile range (IQR)220443

Descriptive statistics

Standard deviation472010.38
Coefficient of variation (CV)1.9772988
Kurtosis11.728554
Mean238714.75
Median Absolute Deviation (MAD)44777
Skewness3.3238591
Sum15993888
Variance2.227938 × 1011
MonotonicityNot monotonic
2024-03-15T02:57:10.275122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1987696.8 1
 
1.5%
31526.0 1
 
1.5%
26931.0 1
 
1.5%
435705.0 1
 
1.5%
531686.0 1
 
1.5%
265525.0 1
 
1.5%
416224.0 1
 
1.5%
67851.0 1
 
1.5%
21490.0 1
 
1.5%
69668.0 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
2174.0 1
1.5%
3913.0 1
1.5%
6135.0 1
1.5%
6150.0 1
1.5%
6478.0 1
1.5%
7672.0 1
1.5%
9871.0 1
1.5%
10128.0 1
1.5%
10700.0 1
1.5%
12219.0 1
1.5%
ValueCountFrequency (%)
2504913.0 1
1.5%
1987696.8 1
1.5%
1912386.0 1
1.5%
1132373.0 1
1.5%
808720.0 1
1.5%
650902.0 1
1.5%
611107.0 1
1.5%
546631.4 1
1.5%
531686.0 1
1.5%
494876.0 1
1.5%

잡종지 지번수
Real number (ℝ)

Distinct52
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.16418
Minimum5
Maximum929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size731.0 B
2024-03-15T02:57:10.697803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10.6
Q121.5
median44
Q3104
95-th percentile572
Maximum929
Range924
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation189.22134
Coefficient of variation (CV)1.7021791
Kurtosis9.4995233
Mean111.16418
Median Absolute Deviation (MAD)26
Skewness3.0977027
Sum7448
Variance35804.715
MonotonicityNot monotonic
2024-03-15T02:57:11.135926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 4
 
6.0%
45 3
 
4.5%
25 3
 
4.5%
12 3
 
4.5%
24 2
 
3.0%
21 2
 
3.0%
35 2
 
3.0%
22 2
 
3.0%
104 2
 
3.0%
55 2
 
3.0%
Other values (42) 42
62.7%
ValueCountFrequency (%)
5 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
10 1
 
1.5%
12 3
4.5%
14 1
 
1.5%
15 1
 
1.5%
16 1
 
1.5%
17 1
 
1.5%
18 4
6.0%
ValueCountFrequency (%)
929 1
1.5%
829 1
1.5%
755 1
1.5%
644 1
1.5%
404 1
1.5%
268 1
1.5%
262 1
1.5%
238 1
1.5%
204 1
1.5%
170 1
1.5%

Sample

토지소재지총계 면적총계 지번수전 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 지번수
025000-가평읍144859633.3438988625375.788155507952.56486236054.5148180104121111309369.3817800003529045.4813099563631209687083907.1116168282180982.71412528688.06667264367.45441579473905424982.113312484391.71170621629.0211314030067412.7311132318.843100387.0821112988800185224.61201987696.8929
125021-읍내리6803849.65029444052.0794453475.076111274.010567833749555.03200000592353.018282675328016272706.0141275110004.012270866.872423123.03174093165357906.084656203.21111850.0400006634.040.007011.038897170026534.6969668.0104
225022-대곡리3226386.03672280797.2539305504.85846067.015722571562963.05070000388319.7963005341697114.51095522124.03155598.847826271.01062525493112653.0134109384.26410278.012000022601.85104966.0363400.035610130020293.01115590.078
325023-달전리4504631.24089502574.0694314240.050616653.031001495060.08640000278515.1810322710045347.64100131.01135982.6486104644.021723997431122065.014768452.067281695.049000010995.9110.000.003353014001180.0366342.0104
425024-하색리7052079.52994617289.0618529412.05107942.52919674977398.06530000167720.03448709500408.038085618128.023184289.042354846.01351552225194.0121157894.0950.009691000.000.000.0085747003514.0572357.034
525025-상색리6032067.32172438017.3451253515.92846858.741056964290704.03950000151363.02555521736848336918.075377911457.08180307.434855483.45500103152.895137662.8860.0000000.000.000.00124060023166.08292575.0116
625026-두밀리15073980.03001891612.0742207314.031638057.03500901713094095.07310000253004.051412362143174564.01002560.0899758.04760.0000192667.056194787.089974.0300000.000.0020604.02127803002285.046150.012
725027-경반리14517142.62222633839.4580280268.02921041.01164722712795069.03930000177681.03430054211509.04006458.01999091.43470.00334315173346.076143341.0620.0000000.000.005256.042909190037185.017113609.832
825028-승안리30566480.82563763559.0584218346.02606857.01911887726800924.53410000257666.054528274007801.08006504.010112135.54140.00564824256677.096254687.088410.01000027181.0111017722.811889.01211005018.06808720.0142
925029-마장리11971913.73508705427.6658971022.077521344.01419738108712466.64730000283861.560938565727971404.041136315224.726258455.65730.001809027497796.082135546.7860.0000000.000.0019082.014234240012416.016285426.0122
토지소재지총계 면적총계 지번수전 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 지번수
5734528-운악리25549756.72837815614.9585413113.039316158.013168111220881226.34630000460047.053715882822711241.05003892.05193057.05050.00105654324961.083129821.0803204.0155244000.002145168.5379725.081362011001849.0394344.085
5835000-북면231099609.6243438718857.858173175438.42891250380.014398985100208490899.0540600001887488.034826853635857192110661.0212269557016.01131604859.142120.0048828623902935.37851872178.679630309.016825460030116.071387.01157956.4128801386600121984.067394415.0163
5935021-목동리23875258.036711127289.0912343699.040118076.0150020952002.08480000264692.06055643324117366927.0579425734.015164280.04600.00734914598673.0180235781.012531.0100000.000.0017610.01313104170010899.01046149.018
6035022-소법리11308449.02368756094.0577389417.038024965.018736179313188.05100000112799.02174121001340.04003917.01093659.03910.001712227420908.0108116057.07225247.0900000.000.0016009.01662678001513.062174.07
6135023-화악리48207763.044461355588.01020519112.050318569.011327702844380529.010230000259127.0517415721393883505.0258026647.09283318.08700.00198813733020.0203480165.01694020.0529904000.000.0031078.028675490024463.01227552.018
6235024-도대리39359594.431721016248.0644489686.04163343.4174491236178608.08040000288926.045813674730010.00009307.015282622.06220.0000677419.057331766.0870.0000008435.060.0015607.0121471060016930.099871.018
6335025-적목리65653352.023201903052.0537150165.018027681.0201982362254999.05250000219118.03562855270381332.01001851.05383056.05090.0000467685.048143672.0610.0000000.001387.0135456.0341496490019944.0418115.024
6435026-백둔리26761865.035091286898.0999210541.021441397.021243403224087954.08560000338466.05470039843625.02006670.010161183.05580.0000290139.0105253297.01341011.01000021681.010.0010115.06100210010343.0712219.012
6535027-제령리9758602.02715721208.0520647815.044829067.6171227487234121.06130000222817.039633122003766.06007147.016126397.04930.00447618460857.026191779.0950.0052642000.000.0032081.41921048130027500.0137672.010
6635028-이곡리6174726.22142552480.8608425003.434987281.04012809104089498.02270000181543.038600417232166.01895115743.033110344.13090.0000254234.358119661.6530.0000000.000.000.00228930010392.06270663.056