Overview

Dataset statistics

Number of variables60
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.0 KiB
Average record size in memory541.6 B

Variable types

Text1
Numeric53
Categorical5
DateTime1

Dataset

Description충청북도 제천시의 법정 구역별 토지지목현황입니다.소재지 및 지목별(전, 답, 과수원, 목장용지, 임야, 학교용지, 공장용지 등) 면적 현황 등을 제공합니다면적의 기준은 제곱미터 입니다.
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15099294/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
데이터기준일자 has constant value ""Constant
사적지-지번수 is highly imbalanced (61.4%)Imbalance
토지소재지 has unique valuesUnique
전체면적(제곱미터) has unique valuesUnique
전체지번수 has unique valuesUnique
전-면적 has unique valuesUnique
대-면적 has unique valuesUnique
대-지번수 has unique valuesUnique
주차장-면적 has unique valuesUnique
도로-면적 has unique valuesUnique
구거-면적 has unique valuesUnique
전-면적 has 1 (2.8%) zerosZeros
전-지번수 has 1 (2.8%) zerosZeros
답-면적 has 2 (5.6%) zerosZeros
답-지번수 has 2 (5.6%) zerosZeros
과수원-면적 has 11 (30.6%) zerosZeros
과수원-지번수 has 11 (30.6%) zerosZeros
목장용지-면적 has 15 (41.7%) zerosZeros
목장용지-면적지번수 has 15 (41.7%) zerosZeros
임야-면적 has 3 (8.3%) zerosZeros
임야-지번수 has 3 (8.3%) zerosZeros
공장용지-면적 has 4 (11.1%) zerosZeros
공장용지-지번수 has 4 (11.1%) zerosZeros
학교용지-면적 has 7 (19.4%) zerosZeros
학교용지-지번수 has 7 (19.4%) zerosZeros
주차장-면적 has 1 (2.8%) zerosZeros
주차장-지번수 has 1 (2.8%) zerosZeros
주유소용지-면적 has 6 (16.7%) zerosZeros
주유소용지-지번수 has 6 (16.7%) zerosZeros
창고용지-면적 has 4 (11.1%) zerosZeros
창고용지-지번수 has 4 (11.1%) zerosZeros
철도용지-면적 has 20 (55.6%) zerosZeros
철도용지-지번수 has 20 (55.6%) zerosZeros
제방-면적 has 14 (38.9%) zerosZeros
제방-지번수 has 14 (38.9%) zerosZeros
하천-면적 has 3 (8.3%) zerosZeros
하천-지번수 has 3 (8.3%) zerosZeros
유지-면적 has 14 (38.9%) zerosZeros
유지-지번수 has 14 (38.9%) zerosZeros
양어장-면적 has 29 (80.6%) zerosZeros
양어장-지번수 has 29 (80.6%) zerosZeros
수도용지-면적 has 23 (63.9%) zerosZeros
수도용지-지번수 has 23 (63.9%) zerosZeros
공원-면적 has 13 (36.1%) zerosZeros
공원-지번수 has 13 (36.1%) zerosZeros
체육용지-면적 has 15 (41.7%) zerosZeros
체육용지-지번수 has 15 (41.7%) zerosZeros
유원지-면적 has 21 (58.3%) zerosZeros
유원지-지번수 has 21 (58.3%) zerosZeros
종교용지-면적 has 3 (8.3%) zerosZeros
종교용지-지번수 has 3 (8.3%) zerosZeros
사적지-면적 has 31 (86.1%) zerosZeros
묘지-면적 has 9 (25.0%) zerosZeros
묘지-지번수 has 9 (25.0%) zerosZeros
잡종지-면적 has 2 (5.6%) zerosZeros
잡종지-지번수 has 2 (5.6%) zerosZeros

Reproduction

Analysis started2024-03-14 22:43:50.408266
Analysis finished2024-03-14 22:43:51.186164
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-03-15T07:43:51.848237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length9.0277778
Min length8

Characters and Unicode

Total characters325
Distinct characters65
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

Unique36 ?
Unique (%)100.0%

Sample

1st row10100-의림동
2nd row10200-서부동
3rd row10300-동현동
4th row10400-남천동
5th row10500-교동
ValueCountFrequency (%)
10100-의림동 1
 
2.8%
10200-서부동 1
 
2.8%
12700-자작동 1
 
2.8%
12100-강제동 1
 
2.8%
12200-명지동 1
 
2.8%
12300-산곡동 1
 
2.8%
12400-왕암동 1
 
2.8%
12500-천남동 1
 
2.8%
12600-신동 1
 
2.8%
12800-대랑동 1
 
2.8%
Other values (26) 26
72.2%
2024-03-15T07:43:53.171009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
28.0%
1 43
13.2%
- 36
 
11.1%
27
 
8.3%
2 15
 
4.6%
3 11
 
3.4%
7
 
2.2%
5
 
1.5%
5 5
 
1.5%
8 4
 
1.2%
Other values (55) 81
24.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
56.0%
Other Letter 107
32.9%
Dash Punctuation 36
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
25.2%
7
 
6.5%
5
 
4.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (44) 51
47.7%
Decimal Number
ValueCountFrequency (%)
0 91
50.0%
1 43
23.6%
2 15
 
8.2%
3 11
 
6.0%
5 5
 
2.7%
8 4
 
2.2%
6 4
 
2.2%
4 4
 
2.2%
7 3
 
1.6%
9 2
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 218
67.1%
Hangul 107
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
25.2%
7
 
6.5%
5
 
4.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (44) 51
47.7%
Common
ValueCountFrequency (%)
0 91
41.7%
1 43
19.7%
- 36
 
16.5%
2 15
 
6.9%
3 11
 
5.0%
5 5
 
2.3%
8 4
 
1.8%
6 4
 
1.8%
4 4
 
1.8%
7 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 218
67.1%
Hangul 107
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
41.7%
1 43
19.7%
- 36
 
16.5%
2 15
 
6.9%
3 11
 
5.0%
5 5
 
2.3%
8 4
 
1.8%
6 4
 
1.8%
4 4
 
1.8%
7 3
 
1.4%
Hangul
ValueCountFrequency (%)
27
25.2%
7
 
6.5%
5
 
4.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (44) 51
47.7%

전체면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24521426
Minimum86900
Maximum1.4348054 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:53.459507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86900
5-th percentile249398.25
Q11024221.5
median4366434.5
Q310188090
95-th percentile1.1741345 × 108
Maximum1.4348054 × 108
Range1.4339364 × 108
Interquartile range (IQR)9163868.5

Descriptive statistics

Standard deviation42131450
Coefficient of variation (CV)1.7181484
Kurtosis1.74348
Mean24521426
Median Absolute Deviation (MAD)3634366
Skewness1.7434004
Sum8.8277134 × 108
Variance1.775059 × 1015
MonotonicityNot monotonic
2024-03-15T07:43:53.897126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
400097 1
 
2.8%
1403708 1
 
2.8%
3414588 1
 
2.8%
4391309 1
 
2.8%
5807485 1
 
2.8%
4341560 1
 
2.8%
5051693 1
 
2.8%
6435159 1
 
2.8%
5254281 1
 
2.8%
143480543 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
86900 1
2.8%
232938 1
2.8%
254885 1
2.8%
286590 1
2.8%
367788 1
2.8%
400097 1
2.8%
463578 1
2.8%
572469 1
2.8%
891668 1
2.8%
1068406 1
2.8%
ValueCountFrequency (%)
143480543 1
2.8%
135057626 1
2.8%
111532056 1
2.8%
91737577 1
2.8%
88867827 1
2.8%
74876361 1
2.8%
72768760 1
2.8%
68588347 1
2.8%
12638703 1
2.8%
9371219 1
2.8%

전체지번수
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6022.4722
Minimum271
Maximum37980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:54.293870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum271
5-th percentile782.25
Q11288.25
median2071.5
Q34546.75
95-th percentile21818.25
Maximum37980
Range37709
Interquartile range (IQR)3258.5

Descriptive statistics

Standard deviation8548.3666
Coefficient of variation (CV)1.4194115
Kurtosis4.7942728
Mean6022.4722
Median Absolute Deviation (MAD)1127
Skewness2.1990786
Sum216809
Variance73074571
MonotonicityNot monotonic
2024-03-15T07:43:54.582330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1262 1
 
2.8%
1843 1
 
2.8%
1414 1
 
2.8%
1842 1
 
2.8%
2147 1
 
2.8%
2063 1
 
2.8%
2080 1
 
2.8%
935 1
 
2.8%
1143 1
 
2.8%
37980 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
271 1
2.8%
753 1
2.8%
792 1
2.8%
935 1
2.8%
954 1
2.8%
1092 1
2.8%
1095 1
2.8%
1143 1
2.8%
1262 1
2.8%
1297 1
2.8%
ValueCountFrequency (%)
37980 1
2.8%
22242 1
2.8%
21677 1
2.8%
21083 1
2.8%
17841 1
2.8%
16132 1
2.8%
15038 1
2.8%
6771 1
2.8%
4921 1
2.8%
4422 1
2.8%

전-면적
Real number (ℝ)

UNIQUE  ZEROS 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2074352.5
Minimum0
Maximum12719375
Zeros1
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:54.937857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile619.75
Q142646.25
median442349.5
Q31267937.5
95-th percentile10042537
Maximum12719375
Range12719375
Interquartile range (IQR)1225291.2

Descriptive statistics

Standard deviation3611588.5
Coefficient of variation (CV)1.7410679
Kurtosis2.5787154
Mean2074352.5
Median Absolute Deviation (MAD)422515.5
Skewness1.9362781
Sum74676691
Variance1.3043572 × 1013
MonotonicityNot monotonic
2024-03-15T07:43:55.384536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2011 1
 
2.8%
247165 1
 
2.8%
536202 1
 
2.8%
822500 1
 
2.8%
286550 1
 
2.8%
400162 1
 
2.8%
243364 1
 
2.8%
683940 1
 
2.8%
274930 1
 
2.8%
12069528 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
0 1
2.8%
7 1
2.8%
824 1
2.8%
2011 1
2.8%
7984 1
2.8%
10997 1
2.8%
14554 1
2.8%
25114 1
2.8%
38987 1
2.8%
43866 1
2.8%
ValueCountFrequency (%)
12719375 1
2.8%
12069528 1
2.8%
9366873 1
2.8%
8700988 1
2.8%
7802015 1
2.8%
6287422 1
2.8%
5150275 1
2.8%
2341342 1
2.8%
1402378 1
2.8%
1223124 1
2.8%

전-지번수
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1535.3056
Minimum0
Maximum10029
Zeros1
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:55.787052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.25
Q179.75
median403
Q31050.5
95-th percentile6692.75
Maximum10029
Range10029
Interquartile range (IQR)970.75

Descriptive statistics

Standard deviation2552.5875
Coefficient of variation (CV)1.6625925
Kurtosis3.2080429
Mean1535.3056
Median Absolute Deviation (MAD)329
Skewness2.0171796
Sum55271
Variance6515702.9
MonotonicityNot monotonic
2024-03-15T07:43:56.047263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
76 2
 
5.6%
20 1
 
2.8%
10029 1
 
2.8%
600 1
 
2.8%
273 1
 
2.8%
461 1
 
2.8%
257 1
 
2.8%
401 1
 
2.8%
168 1
 
2.8%
4318 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
0 1
2.8%
1 1
2.8%
12 1
2.8%
20 1
2.8%
65 1
2.8%
67 1
2.8%
72 1
2.8%
76 2
5.6%
81 1
2.8%
168 1
2.8%
ValueCountFrequency (%)
10029 1
2.8%
7700 1
2.8%
6357 1
2.8%
6018 1
2.8%
5879 1
2.8%
4318 1
2.8%
3862 1
2.8%
1527 1
2.8%
1157 1
2.8%
1015 1
2.8%

답-면적
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean902540.61
Minimum0
Maximum7280741
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:56.285999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile207.75
Q147802.25
median335401.5
Q3719004.75
95-th percentile3936644
Maximum7280741
Range7280741
Interquartile range (IQR)671202.5

Descriptive statistics

Standard deviation1565213.9
Coefficient of variation (CV)1.734231
Kurtosis8.3811045
Mean902540.61
Median Absolute Deviation (MAD)328700
Skewness2.8031636
Sum32491462
Variance2.4498945 × 1012
MonotonicityNot monotonic
2024-03-15T07:43:56.535487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.6%
277 1
 
2.8%
7280741 1
 
2.8%
489786 1
 
2.8%
232776 1
 
2.8%
266430 1
 
2.8%
326089 1
 
2.8%
52821 1
 
2.8%
154700 1
 
2.8%
2402890 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
0 2
5.6%
277 1
2.8%
681 1
2.8%
4454 1
2.8%
6271 1
2.8%
7132 1
2.8%
18735 1
2.8%
32746 1
2.8%
52821 1
2.8%
62109 1
2.8%
ValueCountFrequency (%)
7280741 1
2.8%
5182604 1
2.8%
3521324 1
2.8%
2698888 1
2.8%
2402890 1
2.8%
1850206 1
2.8%
1254332 1
2.8%
1060382 1
2.8%
800331 1
2.8%
691896 1
2.8%

답-지번수
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean754.58333
Minimum0
Maximum6707
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:57.034755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q164.5
median292
Q3534.25
95-th percentile2985.25
Maximum6707
Range6707
Interquartile range (IQR)469.75

Descriptive statistics

Standard deviation1344.3899
Coefficient of variation (CV)1.7816321
Kurtosis10.961446
Mean754.58333
Median Absolute Deviation (MAD)243.5
Skewness3.0941151
Sum27165
Variance1807384.1
MonotonicityNot monotonic
2024-03-15T07:43:57.273553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
101 2
 
5.6%
0 2
 
5.6%
529 2
 
5.6%
6707 1
 
2.8%
314 1
 
2.8%
221 1
 
2.8%
282 1
 
2.8%
302 1
 
2.8%
45 1
 
2.8%
8 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
0 2
5.6%
6 1
2.8%
8 1
2.8%
24 1
2.8%
25 1
2.8%
28 1
2.8%
33 1
2.8%
45 1
2.8%
71 1
2.8%
80 1
2.8%
ValueCountFrequency (%)
6707 1
2.8%
3793 1
2.8%
2716 1
2.8%
2428 1
2.8%
1999 1
2.8%
1856 1
2.8%
894 1
2.8%
769 1
2.8%
538 1
2.8%
533 1
2.8%

과수원-면적
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113575.64
Minimum0
Maximum1068507
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:57.517422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25525
Q3112701.25
95-th percentile542341.5
Maximum1068507
Range1068507
Interquartile range (IQR)112701.25

Descriptive statistics

Standard deviation220287.46
Coefficient of variation (CV)1.9395661
Kurtosis10.245936
Mean113575.64
Median Absolute Deviation (MAD)25525
Skewness3.0415729
Sum4088723
Variance4.8526567 × 1010
MonotonicityNot monotonic
2024-03-15T07:43:57.859292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 11
30.6%
436 1
 
2.8%
514662 1
 
2.8%
1068507 1
 
2.8%
212668 1
 
2.8%
137659 1
 
2.8%
85195 1
 
2.8%
45156 1
 
2.8%
163291 1
 
2.8%
625380 1
 
2.8%
Other values (16) 16
44.4%
ValueCountFrequency (%)
0 11
30.6%
174 1
 
2.8%
436 1
 
2.8%
2162 1
 
2.8%
2282 1
 
2.8%
4778 1
 
2.8%
6764 1
 
2.8%
17117 1
 
2.8%
33933 1
 
2.8%
45156 1
 
2.8%
ValueCountFrequency (%)
1068507 1
2.8%
625380 1
2.8%
514662 1
2.8%
426900 1
2.8%
212668 1
2.8%
170018 1
2.8%
163291 1
2.8%
137850 1
2.8%
137659 1
2.8%
104382 1
2.8%

과수원-지번수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.194444
Minimum0
Maximum348
Zeros11
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:58.229543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q352.25
95-th percentile219.25
Maximum348
Range348
Interquartile range (IQR)52.25

Descriptive statistics

Standard deviation80.713539
Coefficient of variation (CV)1.7472564
Kurtosis6.4127065
Mean46.194444
Median Absolute Deviation (MAD)12
Skewness2.5519646
Sum1663
Variance6514.6754
MonotonicityNot monotonic
2024-03-15T07:43:58.511726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 11
30.6%
1 3
 
8.3%
51 1
 
2.8%
183 1
 
2.8%
348 1
 
2.8%
75 1
 
2.8%
37 1
 
2.8%
31 1
 
2.8%
30 1
 
2.8%
39 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 11
30.6%
1 3
 
8.3%
3 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%
9 1
 
2.8%
15 1
 
2.8%
20 1
 
2.8%
30 1
 
2.8%
31 1
 
2.8%
ValueCountFrequency (%)
348 1
2.8%
277 1
2.8%
200 1
2.8%
183 1
2.8%
80 1
2.8%
75 1
2.8%
61 1
2.8%
60 1
2.8%
56 1
2.8%
51 1
2.8%

목장용지-면적
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96423.972
Minimum0
Maximum972319
Zeros15
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:58.910136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3994.5
Q361823
95-th percentile542593.5
Maximum972319
Range972319
Interquartile range (IQR)61823

Descriptive statistics

Standard deviation228420.04
Coefficient of variation (CV)2.3689134
Kurtosis9.2315684
Mean96423.972
Median Absolute Deviation (MAD)3994.5
Skewness3.074265
Sum3471263
Variance5.2175717 × 1010
MonotonicityNot monotonic
2024-03-15T07:43:59.239341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 15
41.7%
2932 1
 
2.8%
972319 1
 
2.8%
427213 1
 
2.8%
13684 1
 
2.8%
97748 1
 
2.8%
217389 1
 
2.8%
132663 1
 
2.8%
385978 1
 
2.8%
888735 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 15
41.7%
16 1
 
2.8%
2580 1
 
2.8%
2932 1
 
2.8%
5057 1
 
2.8%
6083 1
 
2.8%
6266 1
 
2.8%
13684 1
 
2.8%
15867 1
 
2.8%
17466 1
 
2.8%
ValueCountFrequency (%)
972319 1
2.8%
888735 1
2.8%
427213 1
2.8%
385978 1
2.8%
217389 1
2.8%
132663 1
2.8%
97748 1
2.8%
94289 1
2.8%
67454 1
2.8%
59946 1
2.8%

목장용지-면적지번수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.25
Minimum0
Maximum154
Zeros15
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:43:59.511090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q319.75
95-th percentile137.25
Maximum154
Range154
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation41.475897
Coefficient of variation (CV)1.9518069
Kurtosis5.1528554
Mean21.25
Median Absolute Deviation (MAD)1.5
Skewness2.4361152
Sum765
Variance1720.25
MonotonicityNot monotonic
2024-03-15T07:43:59.871878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 15
41.7%
2 3
 
8.3%
1 3
 
8.3%
154 1
 
2.8%
134 1
 
2.8%
75 1
 
2.8%
14 1
 
2.8%
27 1
 
2.8%
42 1
 
2.8%
38 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 15
41.7%
1 3
 
8.3%
2 3
 
8.3%
5 1
 
2.8%
6 1
 
2.8%
10 1
 
2.8%
14 1
 
2.8%
17 1
 
2.8%
19 1
 
2.8%
22 1
 
2.8%
ValueCountFrequency (%)
154 1
2.8%
147 1
2.8%
134 1
2.8%
75 1
2.8%
46 1
2.8%
42 1
2.8%
38 1
2.8%
27 1
2.8%
22 1
2.8%
19 1
2.8%

임야-면적
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17801716
Minimum0
Maximum1.1132877 × 108
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:00.193505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165412
median2165570.5
Q36170956.5
95-th percentile97396557
Maximum1.1132877 × 108
Range1.1132877 × 108
Interquartile range (IQR)6105544.5

Descriptive statistics

Standard deviation32766482
Coefficient of variation (CV)1.8406362
Kurtosis2.3429371
Mean17801716
Median Absolute Deviation (MAD)2141331
Skewness1.8673325
Sum6.4086176 × 108
Variance1.0736423 × 1015
MonotonicityNot monotonic
2024-03-15T07:44:00.607542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 3
 
8.3%
108367668 1
 
2.8%
2458412 1
 
2.8%
1268276 1
 
2.8%
2564813 1
 
2.8%
3156350 1
 
2.8%
5351755 1
 
2.8%
3747115 1
 
2.8%
48861950 1
 
2.8%
1277763 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
0 3
8.3%
53 1
 
2.8%
633 1
 
2.8%
984 1
 
2.8%
5625 1
 
2.8%
9869 1
 
2.8%
38610 1
 
2.8%
74346 1
 
2.8%
112443 1
 
2.8%
260068 1
 
2.8%
ValueCountFrequency (%)
111328766 1
2.8%
108367668 1
2.8%
93739520 1
2.8%
62015872 1
2.8%
59956722 1
2.8%
57886985 1
2.8%
51865282 1
2.8%
48861950 1
2.8%
8628561 1
2.8%
5351755 1
2.8%

임야-지번수
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean867.97222
Minimum0
Maximum5992
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:01.003439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164.25
median262
Q3784.75
95-th percentile3869.5
Maximum5992
Range5992
Interquartile range (IQR)720.5

Descriptive statistics

Standard deviation1422.0305
Coefficient of variation (CV)1.6383365
Kurtosis4.8950713
Mean867.97222
Median Absolute Deviation (MAD)246
Skewness2.2692717
Sum31247
Variance2022170.8
MonotonicityNot monotonic
2024-03-15T07:44:01.424824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 3
 
8.3%
5992 1
 
2.8%
161 1
 
2.8%
553 1
 
2.8%
281 1
 
2.8%
455 1
 
2.8%
136 1
 
2.8%
176 1
 
2.8%
2135 1
 
2.8%
348 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
0 3
8.3%
2 1
 
2.8%
3 1
 
2.8%
10 1
 
2.8%
13 1
 
2.8%
19 1
 
2.8%
26 1
 
2.8%
77 1
 
2.8%
101 1
 
2.8%
121 1
 
2.8%
ValueCountFrequency (%)
5992 1
2.8%
4633 1
2.8%
3615 1
2.8%
2869 1
2.8%
2665 1
2.8%
2135 1
2.8%
1877 1
2.8%
1011 1
2.8%
880 1
2.8%
753 1
2.8%

광천-면적
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
36 

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 36
100.0%

Length

2024-03-15T07:44:01.855818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:44:02.172239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

광천-지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
36 

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 36
100.0%

Length

2024-03-15T07:44:02.500970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:44:02.827485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

염전-면적
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
36 

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 36
100.0%

Length

2024-03-15T07:44:03.021127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:44:03.194449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

염전-지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
36 

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 36
100.0%

Length

2024-03-15T07:44:03.410484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:44:03.747770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

대-면적
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean474231
Minimum43778
Maximum2240052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:04.091245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43778
5-th percentile51338.75
Q1145054
median280578
Q3629804.25
95-th percentile1605451.5
Maximum2240052
Range2196274
Interquartile range (IQR)484750.25

Descriptive statistics

Standard deviation505449.78
Coefficient of variation (CV)1.0658303
Kurtosis4.4356129
Mean474231
Median Absolute Deviation (MAD)162344.5
Skewness2.0690595
Sum17072316
Variance2.5547948 × 1011
MonotonicityNot monotonic
2024-03-15T07:44:04.514395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
246121 1
 
2.8%
293439 1
 
2.8%
111919 1
 
2.8%
108563 1
 
2.8%
409361 1
 
2.8%
204354 1
 
2.8%
66107 1
 
2.8%
48284 1
 
2.8%
43778 1
 
2.8%
2240052 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
43778 1
2.8%
48284 1
2.8%
52357 1
2.8%
66107 1
2.8%
108563 1
2.8%
111919 1
2.8%
133806 1
2.8%
138232 1
2.8%
141328 1
2.8%
146296 1
2.8%
ValueCountFrequency (%)
2240052 1
2.8%
1843128 1
2.8%
1526226 1
2.8%
970998 1
2.8%
900895 1
2.8%
815628 1
2.8%
809646 1
2.8%
703546 1
2.8%
664992 1
2.8%
618075 1
2.8%

대-지번수
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean998.16667
Minimum90
Maximum4434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:04.903047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile128.25
Q1420.5
median660
Q31149
95-th percentile2953.75
Maximum4434
Range4344
Interquartile range (IQR)728.5

Descriptive statistics

Standard deviation967.75671
Coefficient of variation (CV)0.96953419
Kurtosis3.756238
Mean998.16667
Median Absolute Deviation (MAD)407.5
Skewness1.8826351
Sum35934
Variance936553.06
MonotonicityNot monotonic
2024-03-15T07:44:05.300513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1076 1
 
2.8%
623 1
 
2.8%
169 1
 
2.8%
255 1
 
2.8%
404 1
 
2.8%
250 1
 
2.8%
137 1
 
2.8%
90 1
 
2.8%
102 1
 
2.8%
4434 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
90 1
2.8%
102 1
2.8%
137 1
2.8%
169 1
2.8%
212 1
2.8%
240 1
2.8%
250 1
2.8%
255 1
2.8%
404 1
2.8%
426 1
2.8%
ValueCountFrequency (%)
4434 1
2.8%
3040 1
2.8%
2925 1
2.8%
2447 1
2.8%
2091 1
2.8%
1882 1
2.8%
1856 1
2.8%
1497 1
2.8%
1227 1
2.8%
1123 1
2.8%

공장용지-면적
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121646.83
Minimum0
Maximum2201084
Zeros4
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:05.836428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11511
median6419
Q333805.25
95-th percentile572570.25
Maximum2201084
Range2201084
Interquartile range (IQR)32294.25

Descriptive statistics

Standard deviation386496.98
Coefficient of variation (CV)3.1772054
Kurtosis25.338735
Mean121646.83
Median Absolute Deviation (MAD)6180
Skewness4.8176124
Sum4379286
Variance1.4937991 × 1011
MonotonicityNot monotonic
2024-03-15T07:44:06.263922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 4
 
11.1%
478 1
 
2.8%
332104 1
 
2.8%
2201084 1
 
2.8%
3917 1
 
2.8%
2390 1
 
2.8%
13518 1
 
2.8%
9504 1
 
2.8%
540783 1
 
2.8%
33405 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
0 4
11.1%
478 1
 
2.8%
496 1
 
2.8%
517 1
 
2.8%
968 1
 
2.8%
1229 1
 
2.8%
1605 1
 
2.8%
1762 1
 
2.8%
2219 1
 
2.8%
2317 1
 
2.8%
ValueCountFrequency (%)
2201084 1
2.8%
667932 1
2.8%
540783 1
2.8%
332104 1
2.8%
172831 1
2.8%
171960 1
2.8%
46348 1
2.8%
38989 1
2.8%
35006 1
2.8%
33405 1
2.8%

공장용지-지번수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.388889
Minimum0
Maximum179
Zeros4
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:06.624015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6.5
Q315.5
95-th percentile125
Maximum179
Range179
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation41.06669
Coefficient of variation (CV)1.9200011
Kurtosis7.2074065
Mean21.388889
Median Absolute Deviation (MAD)5.5
Skewness2.747772
Sum770
Variance1686.473
MonotonicityNot monotonic
2024-03-15T07:44:07.011621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
7 5
13.9%
1 4
 
11.1%
0 4
 
11.1%
3 4
 
11.1%
2 3
 
8.3%
4 2
 
5.6%
6 1
 
2.8%
131 1
 
2.8%
15 1
 
2.8%
12 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
0 4
11.1%
1 4
11.1%
2 3
8.3%
3 4
11.1%
4 2
 
5.6%
6 1
 
2.8%
7 5
13.9%
9 1
 
2.8%
10 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
179 1
2.8%
131 1
2.8%
123 1
2.8%
74 1
2.8%
46 1
2.8%
34 1
2.8%
27 1
2.8%
22 1
2.8%
17 1
2.8%
15 1
2.8%

학교용지-면적
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58846.778
Minimum0
Maximum807631
Zeros7
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:07.390015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113036.25
median25736.5
Q353649.75
95-th percentile142958
Maximum807631
Range807631
Interquartile range (IQR)40613.5

Descriptive statistics

Standard deviation133833.76
Coefficient of variation (CV)2.2742752
Kurtosis29.986532
Mean58846.778
Median Absolute Deviation (MAD)25494.5
Skewness5.2866024
Sum2118484
Variance1.7911477 × 1010
MonotonicityNot monotonic
2024-03-15T07:44:07.697181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 7
 
19.4%
33316 1
 
2.8%
81292 1
 
2.8%
65010 1
 
2.8%
78192 1
 
2.8%
14921 1
 
2.8%
74624 1
 
2.8%
57555 1
 
2.8%
29392 1
 
2.8%
24307 1
 
2.8%
Other values (20) 20
55.6%
ValueCountFrequency (%)
0 7
19.4%
6846 1
 
2.8%
12770 1
 
2.8%
13125 1
 
2.8%
14921 1
 
2.8%
16001 1
 
2.8%
17074 1
 
2.8%
17253 1
 
2.8%
17291 1
 
2.8%
18978 1
 
2.8%
ValueCountFrequency (%)
807631 1
2.8%
151151 1
2.8%
140227 1
2.8%
106785 1
2.8%
81292 1
2.8%
78192 1
2.8%
74624 1
2.8%
65010 1
2.8%
57555 1
2.8%
52348 1
2.8%

학교용지-지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4166667
Minimum0
Maximum41
Zeros7
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:08.083348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4.5
Q38.25
95-th percentile28.25
Maximum41
Range41
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation9.4154129
Coefficient of variation (CV)1.2694939
Kurtosis4.270551
Mean7.4166667
Median Absolute Deviation (MAD)3.5
Skewness2.0403969
Sum267
Variance88.65
MonotonicityNot monotonic
2024-03-15T07:44:08.639274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 7
19.4%
1 4
11.1%
7 4
11.1%
4 3
8.3%
6 2
 
5.6%
5 2
 
5.6%
9 2
 
5.6%
3 2
 
5.6%
2 2
 
5.6%
28 1
 
2.8%
Other values (7) 7
19.4%
ValueCountFrequency (%)
0 7
19.4%
1 4
11.1%
2 2
 
5.6%
3 2
 
5.6%
4 3
8.3%
5 2
 
5.6%
6 2
 
5.6%
7 4
11.1%
8 1
 
2.8%
9 2
 
5.6%
ValueCountFrequency (%)
41 1
 
2.8%
29 1
 
2.8%
28 1
 
2.8%
21 1
 
2.8%
17 1
 
2.8%
16 1
 
2.8%
13 1
 
2.8%
9 2
5.6%
8 1
 
2.8%
7 4
11.1%

주차장-면적
Real number (ℝ)

UNIQUE  ZEROS 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13733.889
Minimum0
Maximum102135
Zeros1
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:09.024078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile791.25
Q13064.5
median6252.5
Q315269.25
95-th percentile44038.5
Maximum102135
Range102135
Interquartile range (IQR)12204.75

Descriptive statistics

Standard deviation19635.559
Coefficient of variation (CV)1.4297159
Kurtosis11.467123
Mean13733.889
Median Absolute Deviation (MAD)5108.5
Skewness3.049472
Sum494420
Variance3.8555518 × 108
MonotonicityNot monotonic
2024-03-15T07:44:09.437214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2144 1
 
2.8%
4113 1
 
2.8%
1436 1
 
2.8%
7932 1
 
2.8%
27894 1
 
2.8%
17914 1
 
2.8%
988 1
 
2.8%
0 1
 
2.8%
3101 1
 
2.8%
102135 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
0 1
2.8%
201 1
2.8%
988 1
2.8%
1003 1
2.8%
1285 1
2.8%
1436 1
2.8%
1841 1
2.8%
2144 1
2.8%
2955 1
2.8%
3101 1
2.8%
ValueCountFrequency (%)
102135 1
2.8%
52365 1
2.8%
41263 1
2.8%
38227 1
2.8%
27894 1
2.8%
26321 1
2.8%
22361 1
2.8%
17914 1
2.8%
17655 1
2.8%
14474 1
2.8%

주차장-지번수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.694444
Minimum0
Maximum85
Zeros1
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:09.815843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median9.5
Q317.5
95-th percentile45
Maximum85
Range85
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation17.277267
Coefficient of variation (CV)1.1008524
Kurtosis7.2989117
Mean15.694444
Median Absolute Deviation (MAD)5.5
Skewness2.4760602
Sum565
Variance298.50397
MonotonicityNot monotonic
2024-03-15T07:44:10.229069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8 4
 
11.1%
13 3
 
8.3%
4 2
 
5.6%
6 2
 
5.6%
1 2
 
5.6%
12 2
 
5.6%
15 2
 
5.6%
7 2
 
5.6%
9 2
 
5.6%
2 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 1
 
2.8%
1 2
5.6%
2 1
 
2.8%
3 1
 
2.8%
4 2
5.6%
5 1
 
2.8%
6 2
5.6%
7 2
5.6%
8 4
11.1%
9 2
5.6%
ValueCountFrequency (%)
85 1
2.8%
60 1
2.8%
40 1
2.8%
33 1
2.8%
30 1
2.8%
29 1
2.8%
27 1
2.8%
26 1
2.8%
19 1
2.8%
17 1
2.8%

주유소용지-면적
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7533.6389
Minimum0
Maximum38131
Zeros6
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:10.516538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11322.25
median2812.5
Q311482.5
95-th percentile27710.25
Maximum38131
Range38131
Interquartile range (IQR)10160.25

Descriptive statistics

Standard deviation9486.8791
Coefficient of variation (CV)1.2592692
Kurtosis2.5976931
Mean7533.6389
Median Absolute Deviation (MAD)2812.5
Skewness1.7280601
Sum271211
Variance90000875
MonotonicityNot monotonic
2024-03-15T07:44:10.754697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 6
 
16.7%
1862 1
 
2.8%
38131 1
 
2.8%
29805 1
 
2.8%
2476 1
 
2.8%
8355 1
 
2.8%
11468 1
 
2.8%
2672 1
 
2.8%
15036 1
 
2.8%
27012 1
 
2.8%
Other values (21) 21
58.3%
ValueCountFrequency (%)
0 6
16.7%
660 1
 
2.8%
826 1
 
2.8%
1074 1
 
2.8%
1405 1
 
2.8%
1519 1
 
2.8%
1797 1
 
2.8%
1862 1
 
2.8%
2476 1
 
2.8%
2597 1
 
2.8%
ValueCountFrequency (%)
38131 1
2.8%
29805 1
2.8%
27012 1
2.8%
24852 1
2.8%
15745 1
2.8%
15036 1
2.8%
15007 1
2.8%
12468 1
2.8%
11526 1
2.8%
11468 1
2.8%

주유소용지-지번수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5555556
Minimum0
Maximum39
Zeros6
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:11.031470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q39.25
95-th percentile18.25
Maximum39
Range39
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation7.8100464
Coefficient of variation (CV)1.191363
Kurtosis8.1629326
Mean6.5555556
Median Absolute Deviation (MAD)3.5
Skewness2.5201623
Sum236
Variance60.996825
MonotonicityNot monotonic
2024-03-15T07:44:11.302491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 6
16.7%
3 4
11.1%
2 4
11.1%
10 4
11.1%
6 3
8.3%
4 3
8.3%
1 2
 
5.6%
9 2
 
5.6%
5 2
 
5.6%
15 1
 
2.8%
Other values (5) 5
13.9%
ValueCountFrequency (%)
0 6
16.7%
1 2
 
5.6%
2 4
11.1%
3 4
11.1%
4 3
8.3%
5 2
 
5.6%
6 3
8.3%
8 1
 
2.8%
9 2
 
5.6%
10 4
11.1%
ValueCountFrequency (%)
39 1
 
2.8%
25 1
 
2.8%
16 1
 
2.8%
15 1
 
2.8%
13 1
 
2.8%
10 4
11.1%
9 2
5.6%
8 1
 
2.8%
6 3
8.3%
5 2
5.6%

창고용지-면적
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33258.417
Minimum0
Maximum148976
Zeros4
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:11.537397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12884.75
median15218
Q338679
95-th percentile132214
Maximum148976
Range148976
Interquartile range (IQR)35794.25

Descriptive statistics

Standard deviation43509.065
Coefficient of variation (CV)1.3082122
Kurtosis1.5409906
Mean33258.417
Median Absolute Deviation (MAD)14437
Skewness1.5743914
Sum1197303
Variance1.8930387 × 109
MonotonicityNot monotonic
2024-03-15T07:44:11.772537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 4
 
11.1%
148976 1
 
2.8%
31196 1
 
2.8%
29823 1
 
2.8%
23068 1
 
2.8%
8104 1
 
2.8%
5177 1
 
2.8%
2156 1
 
2.8%
49554 1
 
2.8%
66 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
0 4
11.1%
66 1
 
2.8%
1077 1
 
2.8%
1802 1
 
2.8%
2156 1
 
2.8%
2755 1
 
2.8%
2928 1
 
2.8%
3197 1
 
2.8%
3768 1
 
2.8%
3976 1
 
2.8%
ValueCountFrequency (%)
148976 1
2.8%
148570 1
2.8%
126762 1
2.8%
114754 1
2.8%
91140 1
2.8%
73640 1
2.8%
73237 1
2.8%
58548 1
2.8%
49554 1
2.8%
35054 1
2.8%

창고용지-지번수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.75
Minimum0
Maximum236
Zeros4
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:12.045155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.75
median15
Q351.75
95-th percentile189.5
Maximum236
Range236
Interquartile range (IQR)46

Descriptive statistics

Standard deviation61.840983
Coefficient of variation (CV)1.4135082
Kurtosis2.9480908
Mean43.75
Median Absolute Deviation (MAD)14
Skewness1.9392957
Sum1575
Variance3824.3071
MonotonicityNot monotonic
2024-03-15T07:44:12.356276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
11.1%
9 4
 
11.1%
5 2
 
5.6%
11 2
 
5.6%
15 2
 
5.6%
2 2
 
5.6%
7 1
 
2.8%
179 1
 
2.8%
191 1
 
2.8%
63 1
 
2.8%
Other values (16) 16
44.4%
ValueCountFrequency (%)
0 4
11.1%
2 2
5.6%
4 1
 
2.8%
5 2
5.6%
6 1
 
2.8%
7 1
 
2.8%
9 4
11.1%
11 2
5.6%
15 2
5.6%
17 1
 
2.8%
ValueCountFrequency (%)
236 1
2.8%
191 1
2.8%
189 1
2.8%
179 1
2.8%
114 1
2.8%
72 1
2.8%
68 1
2.8%
67 1
2.8%
63 1
2.8%
48 1
2.8%

도로-면적
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean675133.11
Minimum27399
Maximum4030954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:12.590595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27399
5-th percentile67059
Q1124609.75
median234320.5
Q3536868.5
95-th percentile2796636.2
Maximum4030954
Range4003555
Interquartile range (IQR)412258.75

Descriptive statistics

Standard deviation975921.32
Coefficient of variation (CV)1.4455243
Kurtosis3.7741922
Mean675133.11
Median Absolute Deviation (MAD)149438
Skewness2.0940281
Sum24304792
Variance9.5242243 × 1011
MonotonicityNot monotonic
2024-03-15T07:44:12.968631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
102443 1
 
2.8%
137058 1
 
2.8%
217671 1
 
2.8%
115024 1
 
2.8%
582050 1
 
2.8%
163856 1
 
2.8%
369752 1
 
2.8%
166618 1
 
2.8%
127805 1
 
2.8%
4030954 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
27399 1
2.8%
60117 1
2.8%
69373 1
2.8%
72591 1
2.8%
84303 1
2.8%
85462 1
2.8%
102443 1
2.8%
109807 1
2.8%
115024 1
2.8%
127805 1
2.8%
ValueCountFrequency (%)
4030954 1
2.8%
3030439 1
2.8%
2718702 1
2.8%
2159229 1
2.8%
2151349 1
2.8%
1870522 1
2.8%
1070674 1
2.8%
959506 1
2.8%
582050 1
2.8%
521808 1
2.8%

도로-지번수
Real number (ℝ)

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean987.77778
Minimum35
Maximum5723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:13.213241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile92.25
Q1186.25
median295
Q3803.75
95-th percentile3669
Maximum5723
Range5688
Interquartile range (IQR)617.5

Descriptive statistics

Standard deviation1423.0187
Coefficient of variation (CV)1.4406263
Kurtosis2.6848336
Mean987.77778
Median Absolute Deviation (MAD)171.5
Skewness1.8710543
Sum35560
Variance2024982.2
MonotonicityNot monotonic
2024-03-15T07:44:13.496246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
295 2
 
5.6%
213 2
 
5.6%
113 1
 
2.8%
235 1
 
2.8%
232 1
 
2.8%
187 1
 
2.8%
347 1
 
2.8%
167 1
 
2.8%
5723 1
 
2.8%
2851 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
35 1
2.8%
42 1
2.8%
109 1
2.8%
113 1
2.8%
134 1
2.8%
145 1
2.8%
167 1
2.8%
179 1
2.8%
184 1
2.8%
187 1
2.8%
ValueCountFrequency (%)
5723 1
2.8%
3678 1
2.8%
3666 1
2.8%
3643 1
2.8%
3403 1
2.8%
2851 1
2.8%
2725 1
2.8%
1471 1
2.8%
869 1
2.8%
782 1
2.8%

철도용지-면적
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69345.861
Minimum0
Maximum662051
Zeros20
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:13.739079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q346664.25
95-th percentile304223
Maximum662051
Range662051
Interquartile range (IQR)46664.25

Descriptive statistics

Standard deviation142603.27
Coefficient of variation (CV)2.0564064
Kurtosis7.9483148
Mean69345.861
Median Absolute Deviation (MAD)0
Skewness2.6751512
Sum2496451
Variance2.0335692 × 1010
MonotonicityNot monotonic
2024-03-15T07:44:13.955057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 20
55.6%
15647 1
 
2.8%
264251 1
 
2.8%
53967 1
 
2.8%
662051 1
 
2.8%
118814 1
 
2.8%
261574 1
 
2.8%
291686 1
 
2.8%
44230 1
 
2.8%
284461 1
 
2.8%
Other values (7) 7
 
19.4%
ValueCountFrequency (%)
0 20
55.6%
1290 1
 
2.8%
7702 1
 
2.8%
15647 1
 
2.8%
19748 1
 
2.8%
33906 1
 
2.8%
41071 1
 
2.8%
44230 1
 
2.8%
53967 1
 
2.8%
54219 1
 
2.8%
ValueCountFrequency (%)
662051 1
2.8%
341834 1
2.8%
291686 1
2.8%
284461 1
2.8%
264251 1
2.8%
261574 1
2.8%
118814 1
2.8%
54219 1
2.8%
53967 1
2.8%
44230 1
2.8%

철도용지-지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.583333
Minimum0
Maximum1039
Zeros20
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:14.183342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366.5
95-th percentile308.25
Maximum1039
Range1039
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation186.91516
Coefficient of variation (CV)2.5061251
Kurtosis21.018649
Mean74.583333
Median Absolute Deviation (MAD)0
Skewness4.280697
Sum2685
Variance34937.279
MonotonicityNot monotonic
2024-03-15T07:44:14.385694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 20
55.6%
20 1
 
2.8%
298 1
 
2.8%
57 1
 
2.8%
1039 1
 
2.8%
65 1
 
2.8%
145 1
 
2.8%
253 1
 
2.8%
88 1
 
2.8%
339 1
 
2.8%
Other values (7) 7
 
19.4%
ValueCountFrequency (%)
0 20
55.6%
2 1
 
2.8%
6 1
 
2.8%
20 1
 
2.8%
27 1
 
2.8%
40 1
 
2.8%
57 1
 
2.8%
65 1
 
2.8%
71 1
 
2.8%
72 1
 
2.8%
ValueCountFrequency (%)
1039 1
2.8%
339 1
2.8%
298 1
2.8%
253 1
2.8%
163 1
2.8%
145 1
2.8%
88 1
2.8%
72 1
2.8%
71 1
2.8%
65 1
2.8%

제방-면적
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28131.056
Minimum0
Maximum271337
Zeros14
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:14.612825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3992.5
Q323264
95-th percentile136381.5
Maximum271337
Range271337
Interquartile range (IQR)23264

Descriptive statistics

Standard deviation56578.208
Coefficient of variation (CV)2.0112366
Kurtosis9.4420705
Mean28131.056
Median Absolute Deviation (MAD)3992.5
Skewness2.8879675
Sum1012718
Variance3.2010936 × 109
MonotonicityNot monotonic
2024-03-15T07:44:14.985497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 14
38.9%
1875 1
 
2.8%
135983 1
 
2.8%
137577 1
 
2.8%
9802 1
 
2.8%
101610 1
 
2.8%
6460 1
 
2.8%
77198 1
 
2.8%
271337 1
 
2.8%
30083 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 14
38.9%
268 1
 
2.8%
1875 1
 
2.8%
2222 1
 
2.8%
2804 1
 
2.8%
5181 1
 
2.8%
6460 1
 
2.8%
8260 1
 
2.8%
8698 1
 
2.8%
8803 1
 
2.8%
ValueCountFrequency (%)
271337 1
2.8%
137577 1
2.8%
135983 1
2.8%
101610 1
2.8%
92880 1
2.8%
77198 1
2.8%
40849 1
2.8%
31425 1
2.8%
30083 1
2.8%
20991 1
2.8%

제방-지번수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.472222
Minimum0
Maximum495
Zeros14
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:15.356728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q338.75
95-th percentile315.25
Maximum495
Range495
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation113.3441
Coefficient of variation (CV)1.9721545
Kurtosis6.4415086
Mean57.472222
Median Absolute Deviation (MAD)10
Skewness2.5510862
Sum2069
Variance12846.885
MonotonicityNot monotonic
2024-03-15T07:44:15.850866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 14
38.9%
10 2
 
5.6%
126 1
 
2.8%
325 1
 
2.8%
312 1
 
2.8%
6 1
 
2.8%
230 1
 
2.8%
41 1
 
2.8%
495 1
 
2.8%
72 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 14
38.9%
4 1
 
2.8%
5 1
 
2.8%
6 1
 
2.8%
10 2
 
5.6%
11 1
 
2.8%
13 1
 
2.8%
14 1
 
2.8%
15 1
 
2.8%
16 1
 
2.8%
ValueCountFrequency (%)
495 1
2.8%
325 1
2.8%
312 1
2.8%
230 1
2.8%
176 1
2.8%
126 1
2.8%
100 1
2.8%
72 1
2.8%
41 1
2.8%
38 1
2.8%

하천-면적
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591041.89
Minimum0
Maximum4645948
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:16.337271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116878.5
median62656.5
Q3211981.25
95-th percentile3036000
Maximum4645948
Range4645948
Interquartile range (IQR)195102.75

Descriptive statistics

Standard deviation1150961.1
Coefficient of variation (CV)1.9473426
Kurtosis4.4553121
Mean591041.89
Median Absolute Deviation (MAD)58568
Skewness2.2390567
Sum21277508
Variance1.3247113 × 1012
MonotonicityNot monotonic
2024-03-15T07:44:16.776661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 3
 
8.3%
3611799 1
 
2.8%
6821 1
 
2.8%
101680 1
 
2.8%
150946 1
 
2.8%
234425 1
 
2.8%
542 1
 
2.8%
1356 1
 
2.8%
786452 1
 
2.8%
111846 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
0 3
8.3%
542 1
 
2.8%
805 1
 
2.8%
1356 1
 
2.8%
6821 1
 
2.8%
8853 1
 
2.8%
12371 1
 
2.8%
18381 1
 
2.8%
19359 1
 
2.8%
24034 1
 
2.8%
ValueCountFrequency (%)
4645948 1
2.8%
3611799 1
2.8%
2844067 1
2.8%
2375158 1
2.8%
2148368 1
2.8%
1682055 1
2.8%
1517023 1
2.8%
786452 1
2.8%
234425 1
2.8%
204500 1
2.8%

하천-지번수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.13889
Minimum0
Maximum1154
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:17.198232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median59
Q3157
95-th percentile1039.75
Maximum1154
Range1154
Interquartile range (IQR)136

Descriptive statistics

Standard deviation305.87534
Coefficient of variation (CV)1.6979973
Kurtosis5.2435223
Mean180.13889
Median Absolute Deviation (MAD)55.5
Skewness2.4533247
Sum6485
Variance93559.723
MonotonicityNot monotonic
2024-03-15T07:44:17.756747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 3
 
8.3%
123 2
 
5.6%
72 2
 
5.6%
1154 1
 
2.8%
56 1
 
2.8%
181 1
 
2.8%
1 1
 
2.8%
5 1
 
2.8%
149 1
 
2.8%
51 1
 
2.8%
Other values (22) 22
61.1%
ValueCountFrequency (%)
0 3
8.3%
1 1
 
2.8%
2 1
 
2.8%
5 1
 
2.8%
7 1
 
2.8%
11 1
 
2.8%
12 1
 
2.8%
24 1
 
2.8%
26 1
 
2.8%
29 1
 
2.8%
ValueCountFrequency (%)
1154 1
2.8%
1120 1
2.8%
1013 1
2.8%
565 1
2.8%
371 1
2.8%
367 1
2.8%
240 1
2.8%
194 1
2.8%
181 1
2.8%
149 1
2.8%

구거-면적
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180955.94
Minimum121
Maximum1022558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:18.336003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile1955.25
Q18856.75
median50930
Q3122769.5
95-th percentile938963.75
Maximum1022558
Range1022437
Interquartile range (IQR)113912.75

Descriptive statistics

Standard deviation300858.78
Coefficient of variation (CV)1.6626079
Kurtosis2.4561297
Mean180955.94
Median Absolute Deviation (MAD)47458
Skewness1.9138366
Sum6514414
Variance9.0516005 × 1010
MonotonicityNot monotonic
2024-03-15T07:44:19.184576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2560 1
 
2.8%
10312 1
 
2.8%
11701 1
 
2.8%
98689 1
 
2.8%
30154 1
 
2.8%
58383 1
 
2.8%
39475 1
 
2.8%
63451 1
 
2.8%
61124 1
 
2.8%
997289 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
121 1
2.8%
1734 1
2.8%
2029 1
2.8%
2310 1
2.8%
2560 1
2.8%
2611 1
2.8%
3773 1
2.8%
6137 1
2.8%
6354 1
2.8%
9691 1
2.8%
ValueCountFrequency (%)
1022558 1
2.8%
997289 1
2.8%
919522 1
2.8%
706296 1
2.8%
571651 1
2.8%
565773 1
2.8%
429457 1
2.8%
212029 1
2.8%
136073 1
2.8%
118335 1
2.8%

구거-지번수
Real number (ℝ)

Distinct31
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.97222
Minimum5
Maximum821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:19.742521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.75
Q116.5
median33.5
Q3108.75
95-th percentile551.75
Maximum821
Range816
Interquartile range (IQR)92.25

Descriptive statistics

Standard deviation195.91798
Coefficient of variation (CV)1.5931889
Kurtosis4.2868432
Mean122.97222
Median Absolute Deviation (MAD)21
Skewness2.15862
Sum4427
Variance38383.856
MonotonicityNot monotonic
2024-03-15T07:44:20.257010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
38 3
 
8.3%
15 2
 
5.6%
10 2
 
5.6%
26 2
 
5.6%
111 1
 
2.8%
540 1
 
2.8%
324 1
 
2.8%
368 1
 
2.8%
33 1
 
2.8%
587 1
 
2.8%
Other values (21) 21
58.3%
ValueCountFrequency (%)
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 2
5.6%
15 2
5.6%
17 1
2.8%
20 1
2.8%
21 1
2.8%
ValueCountFrequency (%)
821 1
2.8%
587 1
2.8%
540 1
2.8%
381 1
2.8%
368 1
2.8%
337 1
2.8%
324 1
2.8%
164 1
2.8%
111 1
2.8%
108 1
2.8%

유지-면적
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean983823.97
Minimum0
Maximum18408985
Zeros14
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:20.625687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10058.5
Q3125609.5
95-th percentile5661207.2
Maximum18408985
Range18408985
Interquartile range (IQR)125609.5

Descriptive statistics

Standard deviation3349742.2
Coefficient of variation (CV)3.4048187
Kurtosis22.063111
Mean983823.97
Median Absolute Deviation (MAD)10058.5
Skewness4.4977921
Sum35417663
Variance1.1220773 × 1013
MonotonicityNot monotonic
2024-03-15T07:44:21.093665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 14
38.9%
1666 1
 
2.8%
178883 1
 
2.8%
221702 1
 
2.8%
7222909 1
 
2.8%
468372 1
 
2.8%
5140640 1
 
2.8%
18408985 1
 
2.8%
3115750 1
 
2.8%
152059 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 14
38.9%
337 1
 
2.8%
1666 1
 
2.8%
3498 1
 
2.8%
8452 1
 
2.8%
11665 1
 
2.8%
13511 1
 
2.8%
18308 1
 
2.8%
18546 1
 
2.8%
19543 1
 
2.8%
ValueCountFrequency (%)
18408985 1
2.8%
7222909 1
2.8%
5140640 1
2.8%
3115750 1
2.8%
468372 1
2.8%
221702 1
2.8%
182541 1
2.8%
178883 1
2.8%
152059 1
2.8%
116793 1
2.8%

유지-지번수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.22222
Minimum0
Maximum2331
Zeros14
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:21.407888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.5
Q330.75
95-th percentile856.25
Maximum2331
Range2331
Interquartile range (IQR)30.75

Descriptive statistics

Standard deviation437.14542
Coefficient of variation (CV)2.9895964
Kurtosis18.510863
Mean146.22222
Median Absolute Deviation (MAD)7.5
Skewness4.0859371
Sum5264
Variance191096.12
MonotonicityNot monotonic
2024-03-15T07:44:21.608965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 14
38.9%
11 3
 
8.3%
1 3
 
8.3%
9 2
 
5.6%
665 1
 
2.8%
80 1
 
2.8%
67 1
 
2.8%
923 1
 
2.8%
120 1
 
2.8%
834 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 14
38.9%
1 3
 
8.3%
7 1
 
2.8%
8 1
 
2.8%
9 2
 
5.6%
11 3
 
8.3%
12 1
 
2.8%
16 1
 
2.8%
26 1
 
2.8%
45 1
 
2.8%
ValueCountFrequency (%)
2331 1
2.8%
923 1
2.8%
834 1
2.8%
665 1
2.8%
120 1
2.8%
80 1
2.8%
76 1
2.8%
67 1
2.8%
45 1
2.8%
26 1
2.8%

양어장-면적
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean784.30556
Minimum0
Maximum7163
Zeros29
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:21.805052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5344.25
Maximum7163
Range7163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1878.4547
Coefficient of variation (CV)2.3950547
Kurtosis5.8531996
Mean784.30556
Median Absolute Deviation (MAD)0
Skewness2.5580437
Sum28235
Variance3528592.2
MonotonicityNot monotonic
2024-03-15T07:44:22.010233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 29
80.6%
4840 1
 
2.8%
7163 1
 
2.8%
3299 1
 
2.8%
1440 1
 
2.8%
2626 1
 
2.8%
6857 1
 
2.8%
2010 1
 
2.8%
ValueCountFrequency (%)
0 29
80.6%
1440 1
 
2.8%
2010 1
 
2.8%
2626 1
 
2.8%
3299 1
 
2.8%
4840 1
 
2.8%
6857 1
 
2.8%
7163 1
 
2.8%
ValueCountFrequency (%)
7163 1
 
2.8%
6857 1
 
2.8%
4840 1
 
2.8%
3299 1
 
2.8%
2626 1
 
2.8%
2010 1
 
2.8%
1440 1
 
2.8%
0 29
80.6%

양어장-지번수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86111111
Minimum0
Maximum13
Zeros29
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:22.301471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4512711
Coefficient of variation (CV)2.8466374
Kurtosis17.712058
Mean0.86111111
Median Absolute Deviation (MAD)0
Skewness3.9532101
Sum31
Variance6.0087302
MonotonicityNot monotonic
2024-03-15T07:44:22.675078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 29
80.6%
5 2
 
5.6%
2 2
 
5.6%
13 1
 
2.8%
1 1
 
2.8%
3 1
 
2.8%
ValueCountFrequency (%)
0 29
80.6%
1 1
 
2.8%
2 2
 
5.6%
3 1
 
2.8%
5 2
 
5.6%
13 1
 
2.8%
ValueCountFrequency (%)
13 1
 
2.8%
5 2
 
5.6%
3 1
 
2.8%
2 2
 
5.6%
1 1
 
2.8%
0 29
80.6%

수도용지-면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3875
Minimum0
Maximum48661
Zeros23
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:23.017154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32587
95-th percentile20250
Maximum48661
Range48661
Interquartile range (IQR)2587

Descriptive statistics

Standard deviation10940.072
Coefficient of variation (CV)2.8232443
Kurtosis13.356398
Mean3875
Median Absolute Deviation (MAD)0
Skewness3.716805
Sum139500
Variance1.1968517 × 108
MonotonicityNot monotonic
2024-03-15T07:44:23.274008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 23
63.9%
226 1
 
2.8%
2638 1
 
2.8%
4422 1
 
2.8%
908 1
 
2.8%
45462 1
 
2.8%
5249 1
 
2.8%
6875 1
 
2.8%
1733 1
 
2.8%
2570 1
 
2.8%
Other values (4) 4
 
11.1%
ValueCountFrequency (%)
0 23
63.9%
226 1
 
2.8%
908 1
 
2.8%
1733 1
 
2.8%
2570 1
 
2.8%
2638 1
 
2.8%
3226 1
 
2.8%
4422 1
 
2.8%
5249 1
 
2.8%
5684 1
 
2.8%
ValueCountFrequency (%)
48661 1
2.8%
45462 1
2.8%
11846 1
2.8%
6875 1
2.8%
5684 1
2.8%
5249 1
2.8%
4422 1
2.8%
3226 1
2.8%
2638 1
2.8%
2570 1
2.8%

수도용지-지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5555556
Minimum0
Maximum10
Zeros23
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:23.628853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.5905812
Coefficient of variation (CV)1.6653736
Kurtosis2.4392634
Mean1.5555556
Median Absolute Deviation (MAD)0
Skewness1.7441403
Sum56
Variance6.7111111
MonotonicityNot monotonic
2024-03-15T07:44:23.985449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 23
63.9%
2 3
 
8.3%
3 2
 
5.6%
4 2
 
5.6%
7 2
 
5.6%
5 1
 
2.8%
1 1
 
2.8%
6 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
0 23
63.9%
1 1
 
2.8%
2 3
 
8.3%
3 2
 
5.6%
4 2
 
5.6%
5 1
 
2.8%
6 1
 
2.8%
7 2
 
5.6%
10 1
 
2.8%
ValueCountFrequency (%)
10 1
 
2.8%
7 2
 
5.6%
6 1
 
2.8%
5 1
 
2.8%
4 2
 
5.6%
3 2
 
5.6%
2 3
 
8.3%
1 1
 
2.8%
0 23
63.9%

공원-면적
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28782.694
Minimum0
Maximum496845
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:24.218803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5035
Q321631.75
95-th percentile79384.75
Maximum496845
Range496845
Interquartile range (IQR)21631.75

Descriptive statistics

Standard deviation83400.621
Coefficient of variation (CV)2.897596
Kurtosis30.39695
Mean28782.694
Median Absolute Deviation (MAD)5035
Skewness5.3434048
Sum1036177
Variance6.9556636 × 109
MonotonicityNot monotonic
2024-03-15T07:44:24.605133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 13
36.1%
75827 1
 
2.8%
5711 1
 
2.8%
7073 1
 
2.8%
419 1
 
2.8%
19626 1
 
2.8%
50949 1
 
2.8%
90058 1
 
2.8%
33335 1
 
2.8%
4359 1
 
2.8%
Other values (14) 14
38.9%
ValueCountFrequency (%)
0 13
36.1%
419 1
 
2.8%
1576 1
 
2.8%
2185 1
 
2.8%
2334 1
 
2.8%
4359 1
 
2.8%
5711 1
 
2.8%
7073 1
 
2.8%
9529 1
 
2.8%
10073 1
 
2.8%
ValueCountFrequency (%)
496845 1
2.8%
90058 1
2.8%
75827 1
2.8%
57599 1
2.8%
50949 1
2.8%
40722 1
2.8%
37975 1
2.8%
33335 1
2.8%
25216 1
2.8%
20437 1
2.8%

공원-지번수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6
Minimum0
Maximum51
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:24.964698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile24
Maximum51
Range51
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.231604
Coefficient of variation (CV)1.7052673
Kurtosis10.396315
Mean6
Median Absolute Deviation (MAD)2
Skewness2.9359517
Sum216
Variance104.68571
MonotonicityNot monotonic
2024-03-15T07:44:25.206244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 13
36.1%
1 4
 
11.1%
2 3
 
8.3%
6 3
 
8.3%
5 2
 
5.6%
4 2
 
5.6%
3 1
 
2.8%
16 1
 
2.8%
13 1
 
2.8%
23 1
 
2.8%
Other values (5) 5
 
13.9%
ValueCountFrequency (%)
0 13
36.1%
1 4
 
11.1%
2 3
 
8.3%
3 1
 
2.8%
4 2
 
5.6%
5 2
 
5.6%
6 3
 
8.3%
11 1
 
2.8%
12 1
 
2.8%
13 1
 
2.8%
ValueCountFrequency (%)
51 1
 
2.8%
27 1
 
2.8%
23 1
 
2.8%
16 1
 
2.8%
14 1
 
2.8%
13 1
 
2.8%
12 1
 
2.8%
11 1
 
2.8%
6 3
8.3%
5 2
5.6%

체육용지-면적
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25935.389
Minimum0
Maximum322873
Zeros15
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:25.525990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2759.5
Q324883.5
95-th percentile120278
Maximum322873
Range322873
Interquartile range (IQR)24883.5

Descriptive statistics

Standard deviation59596.454
Coefficient of variation (CV)2.2978816
Kurtosis18.192784
Mean25935.389
Median Absolute Deviation (MAD)2759.5
Skewness3.985858
Sum933674
Variance3.5517373 × 109
MonotonicityNot monotonic
2024-03-15T07:44:25.997084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 15
41.7%
39168 1
 
2.8%
70003 1
 
2.8%
6562 1
 
2.8%
20885 1
 
2.8%
801 1
 
2.8%
2889 1
 
2.8%
28811 1
 
2.8%
26805 1
 
2.8%
132986 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 15
41.7%
401 1
 
2.8%
801 1
 
2.8%
2630 1
 
2.8%
2889 1
 
2.8%
3994 1
 
2.8%
6500 1
 
2.8%
6562 1
 
2.8%
13392 1
 
2.8%
16550 1
 
2.8%
ValueCountFrequency (%)
322873 1
2.8%
132986 1
2.8%
116042 1
2.8%
70003 1
2.8%
45905 1
2.8%
39168 1
2.8%
32399 1
2.8%
28811 1
2.8%
26805 1
2.8%
24243 1
2.8%

체육용지-지번수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum0
Maximum13
Zeros15
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:26.220929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.25
95-th percentile8.75
Maximum13
Range13
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.3932707
Coefficient of variation (CV)1.3573083
Kurtosis1.9691376
Mean2.5
Median Absolute Deviation (MAD)1
Skewness1.5772156
Sum90
Variance11.514286
MonotonicityNot monotonic
2024-03-15T07:44:26.555759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 15
41.7%
1 5
 
13.9%
2 5
 
13.9%
5 3
 
8.3%
8 2
 
5.6%
7 1
 
2.8%
13 1
 
2.8%
11 1
 
2.8%
4 1
 
2.8%
6 1
 
2.8%
ValueCountFrequency (%)
0 15
41.7%
1 5
 
13.9%
2 5
 
13.9%
3 1
 
2.8%
4 1
 
2.8%
5 3
 
8.3%
6 1
 
2.8%
7 1
 
2.8%
8 2
 
5.6%
11 1
 
2.8%
ValueCountFrequency (%)
13 1
 
2.8%
11 1
 
2.8%
8 2
 
5.6%
7 1
 
2.8%
6 1
 
2.8%
5 3
8.3%
4 1
 
2.8%
3 1
 
2.8%
2 5
13.9%
1 5
13.9%

유원지-면적
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17932.833
Minimum0
Maximum295872
Zeros21
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:26.895286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38862.75
95-th percentile67392.75
Maximum295872
Range295872
Interquartile range (IQR)8862.75

Descriptive statistics

Standard deviation54041.056
Coefficient of variation (CV)3.0135258
Kurtosis21.482793
Mean17932.833
Median Absolute Deviation (MAD)0
Skewness4.4803678
Sum645582
Variance2.9204357 × 109
MonotonicityNot monotonic
2024-03-15T07:44:27.277987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 21
58.3%
18997 1
 
2.8%
30633 1
 
2.8%
36586 1
 
2.8%
19757 1
 
2.8%
19568 1
 
2.8%
3536 1
 
2.8%
295872 1
 
2.8%
144300 1
 
2.8%
2619 1
 
2.8%
Other values (6) 6
 
16.7%
ValueCountFrequency (%)
0 21
58.3%
2619 1
 
2.8%
2990 1
 
2.8%
3536 1
 
2.8%
4220 1
 
2.8%
4962 1
 
2.8%
7833 1
 
2.8%
11952 1
 
2.8%
18997 1
 
2.8%
19568 1
 
2.8%
ValueCountFrequency (%)
295872 1
2.8%
144300 1
2.8%
41757 1
2.8%
36586 1
2.8%
30633 1
2.8%
19757 1
2.8%
19568 1
2.8%
18997 1
2.8%
11952 1
2.8%
7833 1
2.8%

유원지-지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8611111
Minimum0
Maximum51
Zeros21
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:27.638768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile29
Maximum51
Range51
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation11.630386
Coefficient of variation (CV)2.3925365
Kurtosis9.761358
Mean4.8611111
Median Absolute Deviation (MAD)0
Skewness3.1427863
Sum175
Variance135.26587
MonotonicityNot monotonic
2024-03-15T07:44:28.033227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 21
58.3%
1 4
 
11.1%
2 2
 
5.6%
8 1
 
2.8%
13 1
 
2.8%
3 1
 
2.8%
51 1
 
2.8%
5 1
 
2.8%
44 1
 
2.8%
7 1
 
2.8%
Other values (2) 2
 
5.6%
ValueCountFrequency (%)
0 21
58.3%
1 4
 
11.1%
2 2
 
5.6%
3 1
 
2.8%
5 1
 
2.8%
7 1
 
2.8%
8 1
 
2.8%
12 1
 
2.8%
13 1
 
2.8%
24 1
 
2.8%
ValueCountFrequency (%)
51 1
2.8%
44 1
2.8%
24 1
2.8%
13 1
2.8%
12 1
2.8%
8 1
2.8%
7 1
2.8%
5 1
2.8%
3 1
2.8%
2 2
5.6%

종교용지-면적
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13754.972
Minimum0
Maximum110908
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:28.398039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11544
median7519.5
Q315504
95-th percentile39393
Maximum110908
Range110908
Interquartile range (IQR)13960

Descriptive statistics

Standard deviation20535.007
Coefficient of variation (CV)1.4929152
Kurtosis14.162103
Mean13754.972
Median Absolute Deviation (MAD)6095.5
Skewness3.3525191
Sum495179
Variance4.2168652 × 108
MonotonicityNot monotonic
2024-03-15T07:44:28.847251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 3
 
8.3%
8491 1
 
2.8%
110908 1
 
2.8%
1557 1
 
2.8%
1312 1
 
2.8%
1443 1
 
2.8%
7268 1
 
2.8%
506 1
 
2.8%
884 1
 
2.8%
24421 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
0 3
8.3%
506 1
 
2.8%
884 1
 
2.8%
1312 1
 
2.8%
1405 1
 
2.8%
1443 1
 
2.8%
1505 1
 
2.8%
1557 1
 
2.8%
1599 1
 
2.8%
2583 1
 
2.8%
ValueCountFrequency (%)
110908 1
2.8%
47571 1
2.8%
36667 1
2.8%
36609 1
2.8%
28937 1
2.8%
28832 1
2.8%
24421 1
2.8%
20528 1
2.8%
20091 1
2.8%
13975 1
2.8%

종교용지-지번수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.138889
Minimum0
Maximum72
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:29.115518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median6
Q312.25
95-th percentile30.75
Maximum72
Range72
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation13.782293
Coefficient of variation (CV)1.3593494
Kurtosis11.399703
Mean10.138889
Median Absolute Deviation (MAD)4
Skewness3.0419419
Sum365
Variance189.95159
MonotonicityNot monotonic
2024-03-15T07:44:29.336437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 5
13.9%
7 3
 
8.3%
1 3
 
8.3%
0 3
 
8.3%
2 3
 
8.3%
5 2
 
5.6%
13 2
 
5.6%
6 2
 
5.6%
9 2
 
5.6%
11 1
 
2.8%
Other values (10) 10
27.8%
ValueCountFrequency (%)
0 3
8.3%
1 3
8.3%
2 3
8.3%
3 5
13.9%
4 1
 
2.8%
5 2
 
5.6%
6 2
 
5.6%
7 3
8.3%
8 1
 
2.8%
9 2
 
5.6%
ValueCountFrequency (%)
72 1
2.8%
39 1
2.8%
28 1
2.8%
25 1
2.8%
24 1
2.8%
17 1
2.8%
14 1
2.8%
13 2
5.6%
12 1
2.8%
11 1
2.8%

사적지-면적
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.88889
Minimum0
Maximum3103
Zeros31
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:29.691652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1829.75
Maximum3103
Range3103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation749.67295
Coefficient of variation (CV)3.1250841
Kurtosis11.176622
Mean239.88889
Median Absolute Deviation (MAD)0
Skewness3.4279456
Sum8636
Variance562009.53
MonotonicityNot monotonic
2024-03-15T07:44:30.032583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 31
86.1%
3083 1
 
2.8%
3103 1
 
2.8%
714 1
 
2.8%
1412 1
 
2.8%
324 1
 
2.8%
ValueCountFrequency (%)
0 31
86.1%
324 1
 
2.8%
714 1
 
2.8%
1412 1
 
2.8%
3083 1
 
2.8%
3103 1
 
2.8%
ValueCountFrequency (%)
3103 1
 
2.8%
3083 1
 
2.8%
1412 1
 
2.8%
714 1
 
2.8%
324 1
 
2.8%
0 31
86.1%

사적지-지번수
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
31 
3
 
3
1
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 31
86.1%
3 3
 
8.3%
1 1
 
2.8%
2 1
 
2.8%

Length

2024-03-15T07:44:30.439903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:44:30.774806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
3 3
 
8.3%
1 1
 
2.8%
2 1
 
2.8%

묘지-면적
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55816.778
Minimum0
Maximum474827
Zeros9
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:31.102113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median11758.5
Q320877.75
95-th percentile293132.75
Maximum474827
Range474827
Interquartile range (IQR)20802.75

Descriptive statistics

Standard deviation111627.92
Coefficient of variation (CV)1.9998991
Kurtosis6.3977243
Mean55816.778
Median Absolute Deviation (MAD)11583.5
Skewness2.5733098
Sum2009404
Variance1.2460794 × 1010
MonotonicityNot monotonic
2024-03-15T07:44:31.313425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 9
25.0%
13827 1
 
2.8%
474827 1
 
2.8%
106821 1
 
2.8%
99243 1
 
2.8%
266209 1
 
2.8%
233246 1
 
2.8%
107740 1
 
2.8%
147783 1
 
2.8%
373904 1
 
2.8%
Other values (18) 18
50.0%
ValueCountFrequency (%)
0 9
25.0%
100 1
 
2.8%
250 1
 
2.8%
283 1
 
2.8%
1540 1
 
2.8%
4353 1
 
2.8%
5712 1
 
2.8%
6406 1
 
2.8%
6861 1
 
2.8%
11547 1
 
2.8%
ValueCountFrequency (%)
474827 1
2.8%
373904 1
2.8%
266209 1
2.8%
233246 1
2.8%
147783 1
2.8%
107740 1
2.8%
106821 1
2.8%
99243 1
2.8%
21288 1
2.8%
20741 1
2.8%

묘지-지번수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.888889
Minimum0
Maximum181
Zeros9
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:31.616107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median5
Q316
95-th percentile126.25
Maximum181
Range181
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation45.269843
Coefficient of variation (CV)1.8188776
Kurtosis4.3000331
Mean24.888889
Median Absolute Deviation (MAD)5
Skewness2.2308739
Sum896
Variance2049.3587
MonotonicityNot monotonic
2024-03-15T07:44:32.002888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 9
25.0%
1 4
11.1%
9 3
 
8.3%
2 3
 
8.3%
6 2
 
5.6%
5 2
 
5.6%
40 1
 
2.8%
111 1
 
2.8%
55 1
 
2.8%
78 1
 
2.8%
Other values (9) 9
25.0%
ValueCountFrequency (%)
0 9
25.0%
1 4
11.1%
2 3
 
8.3%
3 1
 
2.8%
5 2
 
5.6%
6 2
 
5.6%
9 3
 
8.3%
12 1
 
2.8%
14 1
 
2.8%
15 1
 
2.8%
ValueCountFrequency (%)
181 1
2.8%
142 1
2.8%
121 1
2.8%
111 1
2.8%
78 1
2.8%
55 1
2.8%
46 1
2.8%
40 1
2.8%
19 1
2.8%
15 1
2.8%

잡종지-면적
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148013.94
Minimum0
Maximum1568364
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:32.279999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.25
Q16300
median44689
Q3132911.5
95-th percentile552152.25
Maximum1568364
Range1568364
Interquartile range (IQR)126611.5

Descriptive statistics

Standard deviation291395.93
Coefficient of variation (CV)1.9687059
Kurtosis16.307303
Mean148013.94
Median Absolute Deviation (MAD)43569.5
Skewness3.7050934
Sum5328502
Variance8.491159 × 1010
MonotonicityNot monotonic
2024-03-15T07:44:32.847650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 2
 
5.6%
394 1
 
2.8%
529298 1
 
2.8%
13064 1
 
2.8%
83033 1
 
2.8%
85286 1
 
2.8%
264120 1
 
2.8%
7805 1
 
2.8%
585396 1
 
2.8%
1568364 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
0 2
5.6%
79 1
2.8%
394 1
2.8%
452 1
2.8%
867 1
2.8%
1372 1
2.8%
3761 1
2.8%
4614 1
2.8%
6862 1
2.8%
7805 1
2.8%
ValueCountFrequency (%)
1568364 1
2.8%
585396 1
2.8%
541071 1
2.8%
529298 1
2.8%
396330 1
2.8%
264120 1
2.8%
182976 1
2.8%
164443 1
2.8%
136906 1
2.8%
131580 1
2.8%

잡종지-지번수
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.888889
Minimum0
Maximum740
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T07:44:33.202868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q110.25
median30.5
Q397.75
95-th percentile323.25
Maximum740
Range740
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation141.52411
Coefficient of variation (CV)1.6870423
Kurtosis13.123312
Mean83.888889
Median Absolute Deviation (MAD)25
Skewness3.3148089
Sum3020
Variance20029.073
MonotonicityNot monotonic
2024-03-15T07:44:33.488173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
30 2
 
5.6%
0 2
 
5.6%
22 2
 
5.6%
5 1
 
2.8%
740 1
 
2.8%
14 1
 
2.8%
118 1
 
2.8%
6 1
 
2.8%
323 1
 
2.8%
324 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
0 2
5.6%
1 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
11 1
2.8%
14 1
2.8%
ValueCountFrequency (%)
740 1
2.8%
324 1
2.8%
323 1
2.8%
278 1
2.8%
174 1
2.8%
120 1
2.8%
118 1
2.8%
115 1
2.8%
103 1
2.8%
96 1
2.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
Minimum2024-03-04 00:00:00
Maximum2024-03-04 00:00:00
2024-03-15T07:44:33.804061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:44:33.967737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

토지소재지전체면적(제곱미터)전체지번수전-면적전-지번수답-면적답-지번수과수원-면적과수원-지번수목장용지-면적목장용지-면적지번수임야-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
010100-의림동40009712622011202778000000000024612110764781333164214410186230010244311300000025601500000000000084917000039452024-03-04
110200-서부동36778810951455481445425000098410000017186177012292456197385570066285462134001875102403426231060000226221852263010059927000045232024-03-04
210300-동현동572469109238987656210971000038610130000182452637176245234861285425971275551098071791564720880311366452926119000026383233410000150530025019325302024-03-04
310400-남천동28659012977984760000009869190000159705904002375356095408269107726011721300000063548000000000000994317000086742024-03-04
410500-교동463578954251147632746280000743467700001382325582219313125118416291233768684303145770220088531120295000000407223399410013975930833004614172024-03-04
510600-중앙로1가869002710000000000000052357212000020110000273993500008052613721000000000000000000002024-03-04
610700-중앙로2가232938753716816000053200001462966780000100350000693734200000037731500000010073100001599200007912024-03-04
710800-명동2548857928241262712400000000001338065760017291932131226932180257259110900268412371241217000000000000363480000002024-03-04
810900-화산동89166823971099772713233000056252600004572561882517117253129551532123292892045412151974872518113193597173427000000144115116042500140530000137282024-03-04
911000-영천동10684061875438666718735800000633300003036361123564310271664355081405231979128926238341834163209913861781619691261666100003797516000025834000055128222024-03-04
토지소재지전체면적(제곱미터)전체지번수전-면적전-지번수답-면적답-지번수과수원-면적과수원-지번수목장용지-면적목장용지-면적지번수임야-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
2612700-자작동6435159935683940401528214517117100535175513600004828490135182684610000215641666182130000542163451100048405000000299035063001197014780562024-03-04
2712800-대랑동525428111432749301681547001012162194289637471151760000437781029504400310138582100012780516711881465001356561124100000000000008841002074115853963232024-03-04
2825000-봉양읍1434805433798012069528100297280741670762538027788873514710836766859920000224005244345407831231511512110213585270123914897618940309545723662051103927133749536117991154997289821152059767163136875743594132986131443005111090872310333739041425292983242024-03-04
2931000-금성면68588347150386287422431824028901856163291393859781544886195021350000809646149733210474243079263211915036104955468271870228510077198107864521497062963373115750665329921733233335272680511189975244211371411477834615683647402024-03-04
3032000-청풍면9173757716132515027538624705625294515630132663385788698536150000703546122733405272939231253272672324990423030439364300004645948240565773368184089852331144012570690058112881182958724483709001077404059394482024-03-04
3133000-수산면8886782721677127193757700185020619998519531217389426201587246330000970998185627522125755528406581146897364011421513493403006460412148368371919522324514064083400118461050949142889435362288322500233246121136906962024-03-04
3234000-덕산면111532056178419366873601826988882428137659379774827937395201877000090089520918629774624293756983556126762236107067427250010161023016820551120571651540468372120262633226419626280121956872893724141232662091811315801152024-03-04
3335000-한수면74876361677123413421527502596533212668751368414599567228800000327829642160511492166410122476234852639595061471009802628440673672120291117222909923000041912088521975712475711400992437825068312024-03-04
3436000-백운면13505762622242870098863575182604379310685073484272137511132876628690000184312830401683815781921712578152980551147541912159229367853967571375773122375158565102255858722170267685755684770731265626365862436609390010682155778711032024-03-04
3538000-송학면727687602108378020155879352132427165146621839723191345186528226650000152622629256679321316501016412633338131251485701791870522366626425129813598332515170231013429457381178883802010248661357115700033306332366672832424748271115410712782024-03-04