Overview

Dataset statistics

Number of variables59
Number of observations173
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.7 KiB
Average record size in memory530.8 B

Variable types

Text1
Numeric50
Categorical8

Dataset

Description진주시 행정구역별 토지의 지목별(전, 답, 과수원, 목장용지, 임야, 광천, 염전, 대, 공장용지, 학교용지, 주차장, 주유소, 공원, 하천 등의 면적) 현황 정보를 알 수 있습니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3078710

Alerts

염전 면적 has constant value ""Constant
염전 지번수 has constant value ""Constant
광천 면적 is highly imbalanced (94.9%)Imbalance
광천 지번수 is highly imbalanced (94.9%)Imbalance
양어장 면적 is highly imbalanced (86.4%)Imbalance
양어장 지번수 is highly imbalanced (84.3%)Imbalance
사적지 면적 is highly imbalanced (94.9%)Imbalance
사적지 지번수 is highly imbalanced (94.9%)Imbalance
토지소재지 has unique valuesUnique
면적 has unique valuesUnique
대 면적 has unique valuesUnique
도로 면적 has unique valuesUnique
전 면적 has 9 (5.2%) zerosZeros
전 지번수 has 9 (5.2%) zerosZeros
답 면적 has 14 (8.1%) zerosZeros
답 지번수 has 14 (8.1%) zerosZeros
과수원 면적 has 37 (21.4%) zerosZeros
과수원 지번수 has 37 (21.4%) zerosZeros
목장용지 면적 has 61 (35.3%) zerosZeros
목장용지 지번수 has 61 (35.3%) zerosZeros
임야 면적 has 12 (6.9%) zerosZeros
임야 지번수 has 12 (6.9%) zerosZeros
공장용지 면적 has 76 (43.9%) zerosZeros
공장용지 지번수 has 76 (43.9%) zerosZeros
학교용지 면적 has 80 (46.2%) zerosZeros
학교용지 지번수 has 80 (46.2%) zerosZeros
주차장 면적 has 77 (44.5%) zerosZeros
주차장 지번수 has 77 (44.5%) zerosZeros
주유소용지 면적 has 107 (61.8%) zerosZeros
주유소용지 지번수 has 107 (61.8%) zerosZeros
창고용지 면적 has 23 (13.3%) zerosZeros
창고용지 지번수 has 23 (13.3%) zerosZeros
철도용지 면적 has 139 (80.3%) zerosZeros
철도용지 지번수 has 139 (80.3%) zerosZeros
제방 면적 has 34 (19.7%) zerosZeros
제방 지번수 has 34 (19.7%) zerosZeros
하천 면적 has 16 (9.2%) zerosZeros
하천 지번수 has 16 (9.2%) zerosZeros
구거 면적 has 11 (6.4%) zerosZeros
구거 지번수 has 11 (6.4%) zerosZeros
유지 면적 has 29 (16.8%) zerosZeros
유지 지번수 has 29 (16.8%) zerosZeros
수도용지 면적 has 118 (68.2%) zerosZeros
수도용지 지번수 has 118 (68.2%) zerosZeros
공원 면적 has 134 (77.5%) zerosZeros
공원 지번수 has 134 (77.5%) zerosZeros
체육용지 면적 has 141 (81.5%) zerosZeros
체육용지 지번수 has 141 (81.5%) zerosZeros
유원지 면적 has 162 (93.6%) zerosZeros
유원지 지번수 has 162 (93.6%) zerosZeros
종교용지 면적 has 41 (23.7%) zerosZeros
종교용지 지번수 has 41 (23.7%) zerosZeros
묘지 면적 has 19 (11.0%) zerosZeros
묘지 지번수 has 19 (11.0%) zerosZeros
잡종지 면적 has 10 (5.8%) zerosZeros
잡종지 지번수 has 10 (5.8%) zerosZeros

Reproduction

Analysis started2023-12-11 00:08:54.298621
Analysis finished2023-12-11 00:08:54.947498
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:08:55.166557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.0115607
Min length8

Characters and Unicode

Total characters1559
Distinct characters132
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

Unique173 ?
Unique (%)100.0%

Sample

1st row10100-망경동
2nd row10200-주약동
3rd row10300-강남동
4th row10400-칠암동
5th row10500-본성동
ValueCountFrequency (%)
10100-망경동 1
 
0.6%
40026-와룡리 1
 
0.6%
40028-덕곡리 1
 
0.6%
40029-마진리 1
 
0.6%
40030-대곡리 1
 
0.6%
40031-월암리 1
 
0.6%
40032-용암리 1
 
0.6%
41000-금산면 1
 
0.6%
41021-가방리 1
 
0.6%
41022-용아리 1
 
0.6%
Other values (163) 163
94.2%
2023-12-11T09:08:55.617311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 267
17.1%
2 174
11.2%
- 173
11.1%
124
 
8.0%
3 111
 
7.1%
4 101
 
6.5%
1 78
 
5.0%
5 42
 
2.7%
37
 
2.4%
6 33
 
2.1%
Other values (122) 419
26.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 865
55.5%
Other Letter 521
33.4%
Dash Punctuation 173
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
124
23.8%
37
 
7.1%
23
 
4.4%
15
 
2.9%
13
 
2.5%
13
 
2.5%
12
 
2.3%
10
 
1.9%
10
 
1.9%
9
 
1.7%
Other values (111) 255
48.9%
Decimal Number
ValueCountFrequency (%)
0 267
30.9%
2 174
20.1%
3 111
12.8%
4 101
 
11.7%
1 78
 
9.0%
5 42
 
4.9%
6 33
 
3.8%
7 24
 
2.8%
8 18
 
2.1%
9 17
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1038
66.6%
Hangul 521
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
124
23.8%
37
 
7.1%
23
 
4.4%
15
 
2.9%
13
 
2.5%
13
 
2.5%
12
 
2.3%
10
 
1.9%
10
 
1.9%
9
 
1.7%
Other values (111) 255
48.9%
Common
ValueCountFrequency (%)
0 267
25.7%
2 174
16.8%
- 173
16.7%
3 111
10.7%
4 101
 
9.7%
1 78
 
7.5%
5 42
 
4.0%
6 33
 
3.2%
7 24
 
2.3%
8 18
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1038
66.6%
Hangul 521
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 267
25.7%
2 174
16.8%
- 173
16.7%
3 111
10.7%
4 101
 
9.7%
1 78
 
7.5%
5 42
 
4.0%
6 33
 
3.2%
7 24
 
2.3%
8 18
 
1.7%
Hangul
ValueCountFrequency (%)
124
23.8%
37
 
7.1%
23
 
4.4%
15
 
2.9%
13
 
2.5%
13
 
2.5%
12
 
2.3%
10
 
1.9%
10
 
1.9%
9
 
1.7%
Other values (111) 255
48.9%

면적
Real number (ℝ)

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7815328.8
Minimum56168.4
Maximum69318088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:56.058451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56168.4
5-th percentile252494.64
Q13156195.3
median4774769
Q36633391
95-th percentile36668011
Maximum69318088
Range69261920
Interquartile range (IQR)3477195.7

Descriptive statistics

Standard deviation11135526
Coefficient of variation (CV)1.4248315
Kurtosis10.569296
Mean7815328.8
Median Absolute Deviation (MAD)1700733
Skewness3.217552
Sum1.3520519 × 109
Variance1.2399995 × 1014
MonotonicityNot monotonic
2023-12-11T09:08:56.244481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1495657.0 1
 
0.6%
5393278.5 1
 
0.6%
4620427.0 1
 
0.6%
4774769.0 1
 
0.6%
6333737.0 1
 
0.6%
4029441.0 1
 
0.6%
3812505.8 1
 
0.6%
32314578.9 1
 
0.6%
6010035.0 1
 
0.6%
5648424.0 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
56168.4 1
0.6%
68344.7 1
0.6%
87403.0 1
0.6%
88989.7 1
0.6%
115459.5 1
0.6%
115692.2 1
0.6%
139927.8 1
0.6%
206698.4 1
0.6%
210259.5 1
0.6%
280651.4 1
0.6%
ValueCountFrequency (%)
69318088.4 1
0.6%
55873029.2 1
0.6%
54625906.4 1
0.6%
46241853.4 1
0.6%
42598303.1 1
0.6%
42580056.5 1
0.6%
41050143.7 1
0.6%
39840810.5 1
0.6%
37194307.2 1
0.6%
36317146.2 1
0.6%

총 지번수
Real number (ℝ)

Distinct169
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3765.8844
Minimum187
Maximum25315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:56.412129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187
5-th percentile997
Q11716
median2361
Q33091
95-th percentile16952.6
Maximum25315
Range25128
Interquartile range (IQR)1375

Descriptive statistics

Standard deviation4793.3693
Coefficient of variation (CV)1.2728403
Kurtosis7.8728675
Mean3765.8844
Median Absolute Deviation (MAD)690
Skewness2.9356246
Sum651498
Variance22976389
MonotonicityNot monotonic
2023-12-11T09:08:56.574255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2459 2
 
1.2%
2361 2
 
1.2%
2851 2
 
1.2%
1710 2
 
1.2%
4175 1
 
0.6%
2372 1
 
0.6%
1995 1
 
0.6%
1571 1
 
0.6%
1557 1
 
0.6%
1065 1
 
0.6%
Other values (159) 159
91.9%
ValueCountFrequency (%)
187 1
0.6%
221 1
0.6%
279 1
0.6%
322 1
0.6%
330 1
0.6%
442 1
0.6%
634 1
0.6%
817 1
0.6%
955 1
0.6%
1025 1
0.6%
ValueCountFrequency (%)
25315 1
0.6%
24396 1
0.6%
22927 1
0.6%
21638 1
0.6%
18402 1
0.6%
18287 1
0.6%
17630 1
0.6%
17565 1
0.6%
17114 1
0.6%
16845 1
0.6%

전 면적
Real number (ℝ)

ZEROS 

Distinct165
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean517248.55
Minimum0
Maximum4660513.7
Zeros9
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:56.721846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile230.4
Q1190817
median298395
Q3456617
95-th percentile2341108
Maximum4660513.7
Range4660513.7
Interquartile range (IQR)265800

Descriptive statistics

Standard deviation736336.73
Coefficient of variation (CV)1.4235646
Kurtosis9.8336982
Mean517248.55
Median Absolute Deviation (MAD)134915
Skewness3.0334813
Sum89484000
Variance5.4219178 × 1011
MonotonicityNot monotonic
2023-12-11T09:08:56.853130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
5.2%
201037.0 1
 
0.6%
792591.0 1
 
0.6%
136438.0 1
 
0.6%
3218674.0 1
 
0.6%
1002719.0 1
 
0.6%
424622.0 1
 
0.6%
395809.0 1
 
0.6%
188666.0 1
 
0.6%
162346.0 1
 
0.6%
Other values (155) 155
89.6%
ValueCountFrequency (%)
0.0 9
5.2%
384.0 1
 
0.6%
2144.0 1
 
0.6%
2304.0 1
 
0.6%
5165.8 1
 
0.6%
5834.0 1
 
0.6%
6150.0 1
 
0.6%
17110.0 1
 
0.6%
19709.0 1
 
0.6%
21426.0 1
 
0.6%
ValueCountFrequency (%)
4660513.7 1
0.6%
3508004.0 1
0.6%
3218674.0 1
0.6%
3064461.7 1
0.6%
2973513.0 1
0.6%
2874853.0 1
0.6%
2833027.0 1
0.6%
2476042.0 1
0.6%
2351714.4 1
0.6%
2334037.0 1
0.6%

전 지번수
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean645.3815
Minimum0
Maximum4909
Zeros9
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:56.992957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1264
median393
Q3561
95-th percentile3038
Maximum4909
Range4909
Interquartile range (IQR)297

Descriptive statistics

Standard deviation902.07207
Coefficient of variation (CV)1.3977346
Kurtosis8.1651989
Mean645.3815
Median Absolute Deviation (MAD)142
Skewness2.9519581
Sum111651
Variance813734.02
MonotonicityNot monotonic
2023-12-11T09:08:57.123891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
5.2%
325 3
 
1.7%
368 2
 
1.2%
518 2
 
1.2%
185 2
 
1.2%
106 2
 
1.2%
471 2
 
1.2%
239 2
 
1.2%
515 2
 
1.2%
447 2
 
1.2%
Other values (141) 145
83.8%
ValueCountFrequency (%)
0 9
5.2%
5 1
 
0.6%
7 1
 
0.6%
13 1
 
0.6%
15 1
 
0.6%
16 1
 
0.6%
22 1
 
0.6%
35 1
 
0.6%
42 1
 
0.6%
69 1
 
0.6%
ValueCountFrequency (%)
4909 1
0.6%
4315 1
0.6%
3930 1
0.6%
3885 1
0.6%
3855 1
0.6%
3706 1
0.6%
3544 1
0.6%
3536 1
0.6%
3041 1
0.6%
3036 1
0.6%

답 면적
Real number (ℝ)

ZEROS 

Distinct160
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean981071.87
Minimum0
Maximum9719711.1
Zeros14
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:57.250139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1285523
median581888.6
Q3876151
95-th percentile5083888.1
Maximum9719711.1
Range9719711.1
Interquartile range (IQR)590628

Descriptive statistics

Standard deviation1518226.4
Coefficient of variation (CV)1.547518
Kurtosis11.426919
Mean981071.87
Median Absolute Deviation (MAD)296365.6
Skewness3.2787408
Sum1.6972543 × 108
Variance2.3050115 × 1012
MonotonicityNot monotonic
2023-12-11T09:08:57.388585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
8.1%
76903.0 1
 
0.6%
5913062.9 1
 
0.6%
4963921.0 1
 
0.6%
1797267.0 1
 
0.6%
543107.0 1
 
0.6%
321880.0 1
 
0.6%
103277.0 1
 
0.6%
187742.0 1
 
0.6%
926536.0 1
 
0.6%
Other values (150) 150
86.7%
ValueCountFrequency (%)
0.0 14
8.1%
27.0 1
 
0.6%
329.0 1
 
0.6%
940.0 1
 
0.6%
42411.0 1
 
0.6%
51438.0 1
 
0.6%
53944.7 1
 
0.6%
64897.0 1
 
0.6%
72470.0 1
 
0.6%
76903.0 1
 
0.6%
ValueCountFrequency (%)
9719711.1 1
0.6%
7995914.6 1
0.6%
6595931.9 1
0.6%
5913062.9 1
0.6%
5775466.7 1
0.6%
5758154.0 1
0.6%
5424828.0 1
0.6%
5417856.7 1
0.6%
5263838.8 1
0.6%
4963921.0 1
0.6%

답 지번수
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean814.35838
Minimum0
Maximum7223
Zeros14
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:57.515052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1314
median520
Q3695
95-th percentile4345.4
Maximum7223
Range7223
Interquartile range (IQR)381

Descriptive statistics

Standard deviation1214.0051
Coefficient of variation (CV)1.4907504
Kurtosis9.2883081
Mean814.35838
Median Absolute Deviation (MAD)193
Skewness3.0864487
Sum140884
Variance1473808.4
MonotonicityNot monotonic
2023-12-11T09:08:57.644636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
8.1%
207 2
 
1.2%
694 2
 
1.2%
544 2
 
1.2%
665 2
 
1.2%
641 2
 
1.2%
336 2
 
1.2%
758 2
 
1.2%
573 2
 
1.2%
1063 2
 
1.2%
Other values (137) 141
81.5%
ValueCountFrequency (%)
0 14
8.1%
2 1
 
0.6%
4 1
 
0.6%
9 1
 
0.6%
33 1
 
0.6%
53 1
 
0.6%
57 1
 
0.6%
66 2
 
1.2%
69 1
 
0.6%
80 1
 
0.6%
ValueCountFrequency (%)
7223 1
0.6%
5490 1
0.6%
5167 1
0.6%
5016 1
0.6%
4922 1
0.6%
4914 1
0.6%
4783 1
0.6%
4491 1
0.6%
4469 1
0.6%
4263 1
0.6%

과수원 면적
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130013.74
Minimum0
Maximum3244051
Zeros37
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:57.798698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12221
median34604
Q398401
95-th percentile593381.6
Maximum3244051
Range3244051
Interquartile range (IQR)96180

Descriptive statistics

Standard deviation320006.1
Coefficient of variation (CV)2.4613253
Kurtosis55.312553
Mean130013.74
Median Absolute Deviation (MAD)34604
Skewness6.4901939
Sum22492377
Variance1.0240391 × 1011
MonotonicityNot monotonic
2023-12-11T09:08:57.938622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 37
 
21.4%
76157.0 1
 
0.6%
411067.0 1
 
0.6%
16395.0 1
 
0.6%
80007.0 1
 
0.6%
122455.0 1
 
0.6%
20836.0 1
 
0.6%
81186.0 1
 
0.6%
14031.0 1
 
0.6%
20795.0 1
 
0.6%
Other values (127) 127
73.4%
ValueCountFrequency (%)
0.0 37
21.4%
258.0 1
 
0.6%
718.0 1
 
0.6%
979.0 1
 
0.6%
1207.0 1
 
0.6%
1652.0 1
 
0.6%
1809.0 1
 
0.6%
2221.0 1
 
0.6%
3246.0 1
 
0.6%
3354.0 1
 
0.6%
ValueCountFrequency (%)
3244051.0 1
0.6%
1708475.0 1
0.6%
1009647.0 1
0.6%
781802.0 1
0.6%
767189.0 1
0.6%
706276.0 1
0.6%
693538.6 1
0.6%
625143.0 1
0.6%
604718.0 1
0.6%
585824.0 1
0.6%

과수원 지번수
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.890173
Minimum0
Maximum657
Zeros37
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:58.057546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q319
95-th percentile129.4
Maximum657
Range657
Interquartile range (IQR)18

Descriptive statistics

Standard deviation76.469819
Coefficient of variation (CV)2.6469145
Kurtosis35.328568
Mean28.890173
Median Absolute Deviation (MAD)6
Skewness5.4900799
Sum4998
Variance5847.6332
MonotonicityNot monotonic
2023-12-11T09:08:58.198797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
21.4%
6 13
 
7.5%
3 9
 
5.2%
4 8
 
4.6%
5 8
 
4.6%
1 7
 
4.0%
7 7
 
4.0%
10 7
 
4.0%
2 6
 
3.5%
9 4
 
2.3%
Other values (45) 67
38.7%
ValueCountFrequency (%)
0 37
21.4%
1 7
 
4.0%
2 6
 
3.5%
3 9
 
5.2%
4 8
 
4.6%
5 8
 
4.6%
6 13
 
7.5%
7 7
 
4.0%
8 4
 
2.3%
9 4
 
2.3%
ValueCountFrequency (%)
657 1
0.6%
439 1
0.6%
411 1
0.6%
354 1
0.6%
191 1
0.6%
157 1
0.6%
137 1
0.6%
131 1
0.6%
130 1
0.6%
129 1
0.6%

목장용지 면적
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10743.41
Minimum0
Maximum279309
Zeros61
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:58.353596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1465
Q38537
95-th percentile49436.8
Maximum279309
Range279309
Interquartile range (IQR)8537

Descriptive statistics

Standard deviation29249.125
Coefficient of variation (CV)2.7225177
Kurtosis45.70469
Mean10743.41
Median Absolute Deviation (MAD)1465
Skewness6.013296
Sum1858610
Variance8.5551134 × 108
MonotonicityNot monotonic
2023-12-11T09:08:58.498398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
35.3%
652 3
 
1.7%
648 2
 
1.2%
426 2
 
1.2%
23198 1
 
0.6%
10396 1
 
0.6%
131705 1
 
0.6%
4332 1
 
0.6%
721 1
 
0.6%
279309 1
 
0.6%
Other values (99) 99
57.2%
ValueCountFrequency (%)
0 61
35.3%
26 1
 
0.6%
192 1
 
0.6%
270 1
 
0.6%
388 1
 
0.6%
426 2
 
1.2%
582 1
 
0.6%
648 2
 
1.2%
652 3
 
1.7%
714 1
 
0.6%
ValueCountFrequency (%)
279309 1
0.6%
141086 1
0.6%
131705 1
0.6%
128073 1
0.6%
69181 1
0.6%
57682 1
0.6%
52510 1
0.6%
52192 1
0.6%
50986 1
0.6%
48404 1
0.6%

목장용지 지번수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9653179
Minimum0
Maximum57
Zeros61
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:58.625349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile22.6
Maximum57
Range57
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.8369572
Coefficient of variation (CV)1.7797364
Kurtosis12.302749
Mean4.9653179
Median Absolute Deviation (MAD)1
Skewness3.2130993
Sum859
Variance78.091813
MonotonicityNot monotonic
2023-12-11T09:08:58.728523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 61
35.3%
1 26
15.0%
3 18
 
10.4%
5 13
 
7.5%
4 9
 
5.2%
2 7
 
4.0%
7 6
 
3.5%
9 5
 
2.9%
14 4
 
2.3%
8 3
 
1.7%
Other values (15) 21
 
12.1%
ValueCountFrequency (%)
0 61
35.3%
1 26
15.0%
2 7
 
4.0%
3 18
 
10.4%
4 9
 
5.2%
5 13
 
7.5%
6 2
 
1.2%
7 6
 
3.5%
8 3
 
1.7%
9 5
 
2.9%
ValueCountFrequency (%)
57 1
0.6%
47 1
0.6%
46 1
0.6%
31 2
1.2%
29 2
1.2%
26 1
0.6%
25 1
0.6%
21 2
1.2%
19 1
0.6%
18 1
0.6%

임야 면적
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4663288
Minimum0
Maximum53400368
Zeros12
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:58.855419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11198281
median2709909
Q34619416.9
95-th percentile20416508
Maximum53400368
Range53400368
Interquartile range (IQR)3421135.9

Descriptive statistics

Standard deviation7362177.7
Coefficient of variation (CV)1.5787525
Kurtosis16.321888
Mean4663288
Median Absolute Deviation (MAD)1662801
Skewness3.7057879
Sum8.0674882 × 108
Variance5.4201661 × 1013
MonotonicityNot monotonic
2023-12-11T09:08:58.993199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
6.9%
317427.0 1
 
0.6%
3734815.0 1
 
0.6%
3158017.0 1
 
0.6%
14244966.7 1
 
0.6%
1305841.0 1
 
0.6%
3510144.0 1
 
0.6%
3890055.0 1
 
0.6%
508008.0 1
 
0.6%
917227.0 1
 
0.6%
Other values (152) 152
87.9%
ValueCountFrequency (%)
0.0 12
6.9%
4.0 1
 
0.6%
1220.0 1
 
0.6%
20555.0 1
 
0.6%
107542.0 1
 
0.6%
237998.0 1
 
0.6%
280192.0 1
 
0.6%
286352.0 1
 
0.6%
294886.4 1
 
0.6%
297117.0 1
 
0.6%
ValueCountFrequency (%)
53400367.9 1
0.6%
40996693.0 1
0.6%
32515151.3 1
0.6%
29645241.0 1
0.6%
28821663.0 1
0.6%
26059706.0 1
0.6%
25173070.1 1
0.6%
22355782.9 1
0.6%
21653904.0 1
0.6%
19591577.4 1
0.6%

임야 지번수
Real number (ℝ)

ZEROS 

Distinct145
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean492.90173
Minimum0
Maximum4443
Zeros12
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:08:59.173739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1196
median302
Q3436
95-th percentile2459.4
Maximum4443
Range4443
Interquartile range (IQR)240

Descriptive statistics

Standard deviation711.27727
Coefficient of variation (CV)1.4430407
Kurtosis9.9450932
Mean492.90173
Median Absolute Deviation (MAD)121
Skewness3.1230249
Sum85272
Variance505915.36
MonotonicityNot monotonic
2023-12-11T09:08:59.409932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
6.9%
289 3
 
1.7%
336 3
 
1.7%
455 3
 
1.7%
93 2
 
1.2%
222 2
 
1.2%
428 2
 
1.2%
208 2
 
1.2%
308 2
 
1.2%
181 2
 
1.2%
Other values (135) 140
80.9%
ValueCountFrequency (%)
0 12
6.9%
1 1
 
0.6%
4 1
 
0.6%
6 1
 
0.6%
26 1
 
0.6%
69 1
 
0.6%
73 1
 
0.6%
76 1
 
0.6%
86 1
 
0.6%
93 2
 
1.2%
ValueCountFrequency (%)
4443 1
0.6%
3272 1
0.6%
3187 1
0.6%
2947 1
0.6%
2870 1
0.6%
2862 1
0.6%
2629 1
0.6%
2599 1
0.6%
2532 1
0.6%
2411 1
0.6%

광천 면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
172 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 172
99.4%
3 1
 
0.6%

Length

2023-12-11T09:08:59.590572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:08:59.693139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 172
99.4%
3 1
 
0.6%

광천 지번수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
172 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 172
99.4%
1 1
 
0.6%

Length

2023-12-11T09:09:00.144113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:09:00.270141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 172
99.4%
1 1
 
0.6%

염전 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
173 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 173
100.0%

Length

2023-12-11T09:09:00.396212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:09:00.516192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 173
100.0%

염전 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
173 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 173
100.0%

Length

2023-12-11T09:09:00.638403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:09:00.745900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 173
100.0%

대 면적
Real number (ℝ)

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216993.55
Minimum3354
Maximum1695362.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:00.865971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3354
5-th percentile37055.38
Q166685
median94821
Q3164909
95-th percentile914705.54
Maximum1695362.8
Range1692008.8
Interquartile range (IQR)98224

Descriptive statistics

Standard deviation299356.69
Coefficient of variation (CV)1.3795649
Kurtosis6.0991093
Mean216993.55
Median Absolute Deviation (MAD)38881
Skewness2.4858653
Sum37539884
Variance8.9614427 × 1010
MonotonicityNot monotonic
2023-12-11T09:09:01.042099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
361732.0 1
 
0.6%
142431.0 1
 
0.6%
83830.0 1
 
0.6%
70229.0 1
 
0.6%
65218.0 1
 
0.6%
59687.0 1
 
0.6%
24049.0 1
 
0.6%
1303460.0 1
 
0.6%
154127.0 1
 
0.6%
111282.0 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
3354.0 1
0.6%
6366.0 1
0.6%
9767.0 1
0.6%
19242.0 1
0.6%
24049.0 1
0.6%
24341.0 1
0.6%
28078.0 1
0.6%
30265.0 1
0.6%
36133.0 1
0.6%
37670.3 1
0.6%
ValueCountFrequency (%)
1695362.8 1
0.6%
1328562.6 1
0.6%
1303460.0 1
0.6%
1188768.3 1
0.6%
1168325.2 1
0.6%
1082428.8 1
0.6%
1054265.3 1
0.6%
990076.9 1
0.6%
951998.9 1
0.6%
889843.3 1
0.6%

대 지번수
Real number (ℝ)

Distinct151
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587.30636
Minimum9
Maximum3742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:01.200017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile113.6
Q1195
median266
Q3539
95-th percentile2367.8
Maximum3742
Range3733
Interquartile range (IQR)344

Descriptive statistics

Standard deviation741.71087
Coefficient of variation (CV)1.2629028
Kurtosis4.2692148
Mean587.30636
Median Absolute Deviation (MAD)95
Skewness2.1990311
Sum101604
Variance550135.02
MonotonicityNot monotonic
2023-12-11T09:09:01.357585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255 3
 
1.7%
163 2
 
1.2%
229 2
 
1.2%
250 2
 
1.2%
329 2
 
1.2%
237 2
 
1.2%
278 2
 
1.2%
233 2
 
1.2%
123 2
 
1.2%
174 2
 
1.2%
Other values (141) 152
87.9%
ValueCountFrequency (%)
9 1
0.6%
17 1
0.6%
21 1
0.6%
52 1
0.6%
65 1
0.6%
85 1
0.6%
88 1
0.6%
103 1
0.6%
110 1
0.6%
116 1
0.6%
ValueCountFrequency (%)
3742 1
0.6%
3377 1
0.6%
3165 1
0.6%
2959 1
0.6%
2733 1
0.6%
2677 1
0.6%
2633 1
0.6%
2497 1
0.6%
2390 1
0.6%
2353 1
0.6%

공장용지 면적
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39241.003
Minimum0
Maximum595301.2
Zeros76
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:01.530029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1022
Q312769
95-th percentile285026.34
Maximum595301.2
Range595301.2
Interquartile range (IQR)12769

Descriptive statistics

Standard deviation108118.85
Coefficient of variation (CV)2.755252
Kurtosis13.377151
Mean39241.003
Median Absolute Deviation (MAD)1022
Skewness3.6454194
Sum6788693.6
Variance1.1689686 × 1010
MonotonicityNot monotonic
2023-12-11T09:09:01.709568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 76
43.9%
689.0 2
 
1.2%
288916.2 1
 
0.6%
1627.0 1
 
0.6%
2504.0 1
 
0.6%
11752.0 1
 
0.6%
17443.0 1
 
0.6%
13859.0 1
 
0.6%
124513.2 1
 
0.6%
47040.0 1
 
0.6%
Other values (87) 87
50.3%
ValueCountFrequency (%)
0.0 76
43.9%
232.0 1
 
0.6%
458.0 1
 
0.6%
495.0 1
 
0.6%
645.0 1
 
0.6%
689.0 2
 
1.2%
737.0 1
 
0.6%
894.0 1
 
0.6%
969.0 1
 
0.6%
975.0 1
 
0.6%
ValueCountFrequency (%)
595301.2 1
0.6%
589138.2 1
0.6%
561546.1 1
0.6%
477875.6 1
0.6%
449950.7 1
0.6%
386231.6 1
0.6%
364215.0 1
0.6%
346464.8 1
0.6%
288916.2 1
0.6%
282433.1 1
0.6%

공장용지 지번수
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.531792
Minimum0
Maximum153
Zeros76
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:01.854263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile70.2
Maximum153
Range153
Interquartile range (IQR)8

Descriptive statistics

Standard deviation25.945053
Coefficient of variation (CV)2.4634985
Kurtosis13.31552
Mean10.531792
Median Absolute Deviation (MAD)1
Skewness3.593134
Sum1822
Variance673.14579
MonotonicityNot monotonic
2023-12-11T09:09:02.032418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 76
43.9%
1 23
 
13.3%
3 11
 
6.4%
2 8
 
4.6%
8 6
 
3.5%
4 5
 
2.9%
5 4
 
2.3%
17 3
 
1.7%
23 3
 
1.7%
16 3
 
1.7%
Other values (25) 31
17.9%
ValueCountFrequency (%)
0 76
43.9%
1 23
 
13.3%
2 8
 
4.6%
3 11
 
6.4%
4 5
 
2.9%
5 4
 
2.3%
6 2
 
1.2%
8 6
 
3.5%
9 3
 
1.7%
10 1
 
0.6%
ValueCountFrequency (%)
153 1
0.6%
136 1
0.6%
128 1
0.6%
122 1
0.6%
103 1
0.6%
97 1
0.6%
93 1
0.6%
75 1
0.6%
72 1
0.6%
69 1
0.6%

학교용지 면적
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25119.73
Minimum0
Maximum770204.4
Zeros80
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:02.213798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2569
Q320938.5
95-th percentile114027.7
Maximum770204.4
Range770204.4
Interquartile range (IQR)20938.5

Descriptive statistics

Standard deviation70662.55
Coefficient of variation (CV)2.8130298
Kurtosis73.109358
Mean25119.73
Median Absolute Deviation (MAD)2569
Skewness7.5135208
Sum4345713.3
Variance4.993196 × 109
MonotonicityNot monotonic
2023-12-11T09:09:02.393039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 80
46.2%
8649.0 2
 
1.2%
28046.0 1
 
0.6%
20126.0 1
 
0.6%
8504.0 1
 
0.6%
69105.9 1
 
0.6%
6434.0 1
 
0.6%
4917.0 1
 
0.6%
18304.0 1
 
0.6%
15701.0 1
 
0.6%
Other values (83) 83
48.0%
ValueCountFrequency (%)
0.0 80
46.2%
29.0 1
 
0.6%
143.0 1
 
0.6%
585.0 1
 
0.6%
850.0 1
 
0.6%
1263.0 1
 
0.6%
1828.0 1
 
0.6%
2569.0 1
 
0.6%
3562.0 1
 
0.6%
4815.0 1
 
0.6%
ValueCountFrequency (%)
770204.4 1
0.6%
257089.0 1
0.6%
232769.0 1
0.6%
218394.3 1
0.6%
157400.0 1
0.6%
152769.0 1
0.6%
126793.9 1
0.6%
123044.6 1
0.6%
118636.0 1
0.6%
110955.5 1
0.6%

학교용지 지번수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2485549
Minimum0
Maximum39
Zeros80
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:02.561503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile15
Maximum39
Range39
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.8837143
Coefficient of variation (CV)1.811179
Kurtosis13.297574
Mean3.2485549
Median Absolute Deviation (MAD)1
Skewness3.2095687
Sum562
Variance34.618094
MonotonicityNot monotonic
2023-12-11T09:09:02.740218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 80
46.2%
1 25
 
14.5%
2 13
 
7.5%
4 8
 
4.6%
3 7
 
4.0%
6 7
 
4.0%
8 5
 
2.9%
7 4
 
2.3%
9 3
 
1.7%
10 3
 
1.7%
Other values (11) 18
 
10.4%
ValueCountFrequency (%)
0 80
46.2%
1 25
 
14.5%
2 13
 
7.5%
3 7
 
4.0%
4 8
 
4.6%
5 3
 
1.7%
6 7
 
4.0%
7 4
 
2.3%
8 5
 
2.9%
9 3
 
1.7%
ValueCountFrequency (%)
39 1
 
0.6%
35 1
 
0.6%
26 1
 
0.6%
21 1
 
0.6%
20 1
 
0.6%
16 2
1.2%
15 3
1.7%
13 1
 
0.6%
12 1
 
0.6%
11 3
1.7%

주차장 면적
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2616.9699
Minimum0
Maximum52468.1
Zeros77
Zeros (%)44.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:02.927176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median267.4
Q32205
95-th percentile13881.6
Maximum52468.1
Range52468.1
Interquartile range (IQR)2205

Descriptive statistics

Standard deviation6075.502
Coefficient of variation (CV)2.3215788
Kurtosis29.370155
Mean2616.9699
Median Absolute Deviation (MAD)267.4
Skewness4.6700178
Sum452735.8
Variance36911724
MonotonicityNot monotonic
2023-12-11T09:09:03.099933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 77
44.5%
2092.0 2
 
1.2%
7287.8 2
 
1.2%
7082.0 1
 
0.6%
4754.0 1
 
0.6%
723.0 1
 
0.6%
1476.0 1
 
0.6%
3733.5 1
 
0.6%
320.0 1
 
0.6%
692.0 1
 
0.6%
Other values (85) 85
49.1%
ValueCountFrequency (%)
0.0 77
44.5%
2.0 1
 
0.6%
109.1 1
 
0.6%
112.0 1
 
0.6%
158.0 1
 
0.6%
178.0 1
 
0.6%
187.0 1
 
0.6%
212.3 1
 
0.6%
247.0 1
 
0.6%
260.2 1
 
0.6%
ValueCountFrequency (%)
52468.1 1
0.6%
29758.0 1
0.6%
26098.0 1
0.6%
18202.4 1
0.6%
18090.4 1
0.6%
17289.0 1
0.6%
17284.0 1
0.6%
16751.8 1
0.6%
15714.0 1
0.6%
12660.0 1
0.6%

주차장 지번수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7687861
Minimum0
Maximum29
Zeros77
Zeros (%)44.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:03.252503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum29
Range29
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.7451024
Coefficient of variation (CV)1.7137844
Kurtosis10.150151
Mean2.7687861
Median Absolute Deviation (MAD)1
Skewness2.8871388
Sum479
Variance22.515997
MonotonicityNot monotonic
2023-12-11T09:09:03.389777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 77
44.5%
1 25
 
14.5%
2 16
 
9.2%
3 13
 
7.5%
4 9
 
5.2%
5 8
 
4.6%
7 4
 
2.3%
9 4
 
2.3%
15 3
 
1.7%
11 3
 
1.7%
Other values (8) 11
 
6.4%
ValueCountFrequency (%)
0 77
44.5%
1 25
 
14.5%
2 16
 
9.2%
3 13
 
7.5%
4 9
 
5.2%
5 8
 
4.6%
6 2
 
1.2%
7 4
 
2.3%
9 4
 
2.3%
10 2
 
1.2%
ValueCountFrequency (%)
29 1
 
0.6%
27 1
 
0.6%
21 1
 
0.6%
18 1
 
0.6%
15 3
1.7%
14 1
 
0.6%
12 2
1.2%
11 3
1.7%
10 2
1.2%
9 4
2.3%

주유소용지 면적
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1026.4468
Minimum0
Maximum11703
Zeros107
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:03.564463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31130
95-th percentile5375.2
Maximum11703
Range11703
Interquartile range (IQR)1130

Descriptive statistics

Standard deviation2013.298
Coefficient of variation (CV)1.9614245
Kurtosis7.7451025
Mean1026.4468
Median Absolute Deviation (MAD)0
Skewness2.6647664
Sum177575.3
Variance4053368.6
MonotonicityNot monotonic
2023-12-11T09:09:03.706071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 107
61.8%
737.0 2
 
1.2%
769.0 2
 
1.2%
454.0 2
 
1.2%
2829.0 2
 
1.2%
450.0 2
 
1.2%
4643.0 2
 
1.2%
980.0 1
 
0.6%
817.0 1
 
0.6%
939.0 1
 
0.6%
Other values (51) 51
29.5%
ValueCountFrequency (%)
0.0 107
61.8%
102.0 1
 
0.6%
450.0 2
 
1.2%
454.0 2
 
1.2%
534.0 1
 
0.6%
599.0 1
 
0.6%
733.0 1
 
0.6%
737.0 2
 
1.2%
769.0 2
 
1.2%
814.0 1
 
0.6%
ValueCountFrequency (%)
11703.0 1
0.6%
9612.0 1
0.6%
8736.0 1
0.6%
7177.0 1
0.6%
7106.0 1
0.6%
6667.0 1
0.6%
6071.0 1
0.6%
5859.0 1
0.6%
5551.0 1
0.6%
5258.0 1
0.6%

주유소용지 지번수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3583815
Minimum0
Maximum13
Zeros107
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:03.857233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7.4
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5651741
Coefficient of variation (CV)1.8884048
Kurtosis6.5107351
Mean1.3583815
Median Absolute Deviation (MAD)0
Skewness2.5157104
Sum235
Variance6.5801183
MonotonicityNot monotonic
2023-12-11T09:09:04.033513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 107
61.8%
1 20
 
11.6%
2 14
 
8.1%
3 9
 
5.2%
4 6
 
3.5%
8 4
 
2.3%
5 4
 
2.3%
7 3
 
1.7%
12 2
 
1.2%
11 1
 
0.6%
Other values (3) 3
 
1.7%
ValueCountFrequency (%)
0 107
61.8%
1 20
 
11.6%
2 14
 
8.1%
3 9
 
5.2%
4 6
 
3.5%
5 4
 
2.3%
6 1
 
0.6%
7 3
 
1.7%
8 4
 
2.3%
9 1
 
0.6%
ValueCountFrequency (%)
13 1
 
0.6%
12 2
 
1.2%
11 1
 
0.6%
9 1
 
0.6%
8 4
2.3%
7 3
 
1.7%
6 1
 
0.6%
5 4
2.3%
4 6
3.5%
3 9
5.2%

창고용지 면적
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10651.803
Minimum0
Maximum107454.1
Zeros23
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:04.168454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11378
median4114
Q311630
95-th percentile49153.32
Maximum107454.1
Range107454.1
Interquartile range (IQR)10252

Descriptive statistics

Standard deviation18321.835
Coefficient of variation (CV)1.7200688
Kurtosis11.501687
Mean10651.803
Median Absolute Deviation (MAD)3785
Skewness3.2491299
Sum1842762
Variance3.3568962 × 108
MonotonicityNot monotonic
2023-12-11T09:09:04.338122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
13.3%
8711.0 2
 
1.2%
329.0 2
 
1.2%
2736.0 1
 
0.6%
1442.0 1
 
0.6%
3194.0 1
 
0.6%
11687.0 1
 
0.6%
2245.0 1
 
0.6%
10474.0 1
 
0.6%
3735.0 1
 
0.6%
Other values (139) 139
80.3%
ValueCountFrequency (%)
0.0 23
13.3%
220.0 1
 
0.6%
300.0 1
 
0.6%
329.0 2
 
1.2%
350.0 1
 
0.6%
543.0 1
 
0.6%
580.0 1
 
0.6%
592.0 1
 
0.6%
640.2 1
 
0.6%
664.0 1
 
0.6%
ValueCountFrequency (%)
107454.1 1
0.6%
103248.3 1
0.6%
89424.0 1
0.6%
79228.8 1
0.6%
72638.1 1
0.6%
72287.0 1
0.6%
63622.0 1
0.6%
59090.0 1
0.6%
49836.0 1
0.6%
48698.2 1
0.6%

창고용지 지번수
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.803468
Minimum0
Maximum103
Zeros23
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:04.525888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q312
95-th percentile59.4
Maximum103
Range103
Interquartile range (IQR)9

Descriptive statistics

Standard deviation18.163552
Coefficient of variation (CV)1.5388318
Kurtosis9.7542959
Mean11.803468
Median Absolute Deviation (MAD)4
Skewness3.0445072
Sum2042
Variance329.91464
MonotonicityNot monotonic
2023-12-11T09:09:04.703381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 23
13.3%
6 16
 
9.2%
3 13
 
7.5%
7 12
 
6.9%
1 11
 
6.4%
5 10
 
5.8%
8 9
 
5.2%
9 9
 
5.2%
4 9
 
5.2%
10 7
 
4.0%
Other values (29) 54
31.2%
ValueCountFrequency (%)
0 23
13.3%
1 11
6.4%
2 7
 
4.0%
3 13
7.5%
4 9
 
5.2%
5 10
5.8%
6 16
9.2%
7 12
6.9%
8 9
 
5.2%
9 9
 
5.2%
ValueCountFrequency (%)
103 1
0.6%
99 1
0.6%
91 1
0.6%
71 2
1.2%
66 1
0.6%
62 1
0.6%
61 1
0.6%
60 1
0.6%
59 1
0.6%
58 1
0.6%

도로 면적
Real number (ℝ)

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319042.13
Minimum9488
Maximum2366256.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:04.857379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9488
5-th percentile37209.32
Q195665
median143804
Q3314250
95-th percentile1246300.1
Maximum2366256.5
Range2356768.5
Interquartile range (IQR)218585

Descriptive statistics

Standard deviation430807.06
Coefficient of variation (CV)1.350314
Kurtosis8.2374233
Mean319042.13
Median Absolute Deviation (MAD)74118
Skewness2.7940617
Sum55194288
Variance1.8559473 × 1011
MonotonicityNot monotonic
2023-12-11T09:09:05.024704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
144228.0 1
 
0.6%
108670.9 1
 
0.6%
134561.0 1
 
0.6%
124828.0 1
 
0.6%
41951.0 1
 
0.6%
55690.0 1
 
0.6%
58286.7 1
 
0.6%
1012471.2 1
 
0.6%
195260.0 1
 
0.6%
155701.0 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
9488.0 1
0.6%
17352.5 1
0.6%
24411.6 1
0.6%
25843.7 1
0.6%
26047.9 1
0.6%
30438.7 1
0.6%
30849.3 1
0.6%
31804.5 1
0.6%
32226.2 1
0.6%
40531.4 1
0.6%
ValueCountFrequency (%)
2366256.5 1
0.6%
2232600.4 1
0.6%
2122503.2 1
0.6%
2101465.5 1
0.6%
1639243.1 1
0.6%
1600098.6 1
0.6%
1485672.6 1
0.6%
1378949.0 1
0.6%
1257978.9 1
0.6%
1238514.3 1
0.6%

도로 지번수
Real number (ℝ)

Distinct158
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean610.82081
Minimum11
Maximum4719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:05.525456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile114
Q1229
median326
Q3552
95-th percentile2478
Maximum4719
Range4708
Interquartile range (IQR)323

Descriptive statistics

Standard deviation822.78335
Coefficient of variation (CV)1.3470126
Kurtosis10.030039
Mean610.82081
Median Absolute Deviation (MAD)122
Skewness3.0842835
Sum105672
Variance676972.44
MonotonicityNot monotonic
2023-12-11T09:09:05.678933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196 2
 
1.2%
266 2
 
1.2%
264 2
 
1.2%
70 2
 
1.2%
755 2
 
1.2%
220 2
 
1.2%
239 2
 
1.2%
315 2
 
1.2%
250 2
 
1.2%
504 2
 
1.2%
Other values (148) 153
88.4%
ValueCountFrequency (%)
11 1
0.6%
15 1
0.6%
19 1
0.6%
21 1
0.6%
32 1
0.6%
66 1
0.6%
70 2
1.2%
102 1
0.6%
122 1
0.6%
132 1
0.6%
ValueCountFrequency (%)
4719 1
0.6%
4630 1
0.6%
4323 1
0.6%
3684 1
0.6%
3130 1
0.6%
2819 1
0.6%
2687 1
0.6%
2675 1
0.6%
2538 1
0.6%
2438 1
0.6%

철도용지 면적
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14413.073
Minimum0
Maximum389654
Zeros139
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:05.805824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile93067.42
Maximum389654
Range389654
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44417.377
Coefficient of variation (CV)3.0817422
Kurtosis34.410968
Mean14413.073
Median Absolute Deviation (MAD)0
Skewness5.1463751
Sum2493461.7
Variance1.9729034 × 109
MonotonicityNot monotonic
2023-12-11T09:09:05.957440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 139
80.3%
8994.0 2
 
1.2%
26048.0 1
 
0.6%
10058.0 1
 
0.6%
119131.0 1
 
0.6%
1568.0 1
 
0.6%
49167.0 1
 
0.6%
68396.0 1
 
0.6%
104433.0 1
 
0.6%
34545.0 1
 
0.6%
Other values (24) 24
 
13.9%
ValueCountFrequency (%)
0.0 139
80.3%
1352.0 1
 
0.6%
1568.0 1
 
0.6%
8994.0 2
 
1.2%
10058.0 1
 
0.6%
16043.0 1
 
0.6%
20574.0 1
 
0.6%
26048.0 1
 
0.6%
26276.0 1
 
0.6%
28330.0 1
 
0.6%
ValueCountFrequency (%)
389654.0 1
0.6%
254125.0 1
0.6%
149739.0 1
0.6%
130008.0 1
0.6%
126350.0 1
0.6%
119131.0 1
0.6%
110140.0 1
0.6%
104433.0 1
0.6%
93391.0 1
0.6%
92851.7 1
0.6%

철도용지 지번수
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.953757
Minimum0
Maximum512
Zeros139
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:06.120527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile113.2
Maximum512
Range512
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.739721
Coefficient of variation (CV)3.2877503
Kurtosis40.056224
Mean16.953757
Median Absolute Deviation (MAD)0
Skewness5.5846694
Sum2933
Variance3106.9165
MonotonicityNot monotonic
2023-12-11T09:09:06.274847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 139
80.3%
67 2
 
1.2%
12 2
 
1.2%
6 2
 
1.2%
27 2
 
1.2%
21 1
 
0.6%
125 1
 
0.6%
46 1
 
0.6%
122 1
 
0.6%
25 1
 
0.6%
Other values (21) 21
 
12.1%
ValueCountFrequency (%)
0 139
80.3%
6 2
 
1.2%
12 2
 
1.2%
14 1
 
0.6%
17 1
 
0.6%
20 1
 
0.6%
21 1
 
0.6%
22 1
 
0.6%
23 1
 
0.6%
25 1
 
0.6%
ValueCountFrequency (%)
512 1
0.6%
284 1
0.6%
218 1
0.6%
206 1
0.6%
158 1
0.6%
125 1
0.6%
123 1
0.6%
122 1
0.6%
118 1
0.6%
110 1
0.6%

제방 면적
Real number (ℝ)

ZEROS 

Distinct139
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39892.606
Minimum0
Maximum421387.1
Zeros34
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:06.418009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1403
median12579
Q345138
95-th percentile182351
Maximum421387.1
Range421387.1
Interquartile range (IQR)44735

Descriptive statistics

Standard deviation71851.475
Coefficient of variation (CV)1.8011226
Kurtosis10.639074
Mean39892.606
Median Absolute Deviation (MAD)12579
Skewness3.0964959
Sum6901420.9
Variance5.1626345 × 109
MonotonicityNot monotonic
2023-12-11T09:09:06.551645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
19.7%
84390.0 2
 
1.2%
311.0 1
 
0.6%
455.0 1
 
0.6%
23701.0 1
 
0.6%
126044.0 1
 
0.6%
35043.0 1
 
0.6%
59413.0 1
 
0.6%
254245.0 1
 
0.6%
161587.0 1
 
0.6%
Other values (129) 129
74.6%
ValueCountFrequency (%)
0.0 34
19.7%
33.0 1
 
0.6%
62.0 1
 
0.6%
86.0 1
 
0.6%
212.0 1
 
0.6%
284.0 1
 
0.6%
310.7 1
 
0.6%
311.0 1
 
0.6%
319.0 1
 
0.6%
340.0 1
 
0.6%
ValueCountFrequency (%)
421387.1 1
0.6%
373043.9 1
0.6%
359276.0 1
0.6%
324592.0 1
0.6%
288692.0 1
0.6%
254245.0 1
0.6%
234780.0 1
0.6%
214241.0 1
0.6%
200717.0 1
0.6%
170107.0 1
0.6%

제방 지번수
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.208092
Minimum0
Maximum646
Zeros34
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:06.679774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q369
95-th percentile305.4
Maximum646
Range646
Interquartile range (IQR)68

Descriptive statistics

Standard deviation118.71866
Coefficient of variation (CV)1.7664339
Kurtosis8.1554532
Mean67.208092
Median Absolute Deviation (MAD)13
Skewness2.7504475
Sum11627
Variance14094.119
MonotonicityNot monotonic
2023-12-11T09:09:06.794217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
19.7%
1 11
 
6.4%
3 9
 
5.2%
4 7
 
4.0%
10 5
 
2.9%
35 5
 
2.9%
2 4
 
2.3%
13 4
 
2.3%
7 4
 
2.3%
9 3
 
1.7%
Other values (67) 87
50.3%
ValueCountFrequency (%)
0 34
19.7%
1 11
 
6.4%
2 4
 
2.3%
3 9
 
5.2%
4 7
 
4.0%
5 3
 
1.7%
6 2
 
1.2%
7 4
 
2.3%
8 1
 
0.6%
9 3
 
1.7%
ValueCountFrequency (%)
646 1
0.6%
626 1
0.6%
551 1
0.6%
452 1
0.6%
444 1
0.6%
437 1
0.6%
407 1
0.6%
399 1
0.6%
324 1
0.6%
293 1
0.6%

하천 면적
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276586.27
Minimum0
Maximum3785388
Zeros16
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:06.931243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128322
median97232.1
Q3315580
95-th percentile1006815.4
Maximum3785388
Range3785388
Interquartile range (IQR)287258

Descriptive statistics

Standard deviation515187.73
Coefficient of variation (CV)1.8626656
Kurtosis20.011816
Mean276586.27
Median Absolute Deviation (MAD)93455.1
Skewness4.0483019
Sum47849424
Variance2.654184 × 1011
MonotonicityNot monotonic
2023-12-11T09:09:07.058174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
9.2%
271845.0 1
 
0.6%
37715.0 1
 
0.6%
377000.0 1
 
0.6%
606187.0 1
 
0.6%
569360.0 1
 
0.6%
28322.0 1
 
0.6%
2859453.0 1
 
0.6%
1108065.0 1
 
0.6%
36.0 1
 
0.6%
Other values (148) 148
85.5%
ValueCountFrequency (%)
0.0 16
9.2%
36.0 1
 
0.6%
53.0 1
 
0.6%
161.0 1
 
0.6%
198.0 1
 
0.6%
216.0 1
 
0.6%
543.0 1
 
0.6%
629.0 1
 
0.6%
721.0 1
 
0.6%
1290.0 1
 
0.6%
ValueCountFrequency (%)
3785388.0 1
0.6%
2859453.0 1
0.6%
2740548.0 1
0.6%
2615531.0 1
0.6%
1509009.0 1
0.6%
1367011.0 1
0.6%
1204149.0 1
0.6%
1108065.0 1
0.6%
1052098.0 1
0.6%
976627.0 1
0.6%

하천 지번수
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.618497
Minimum0
Maximum792
Zeros16
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:07.211771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median26
Q380
95-th percentile287
Maximum792
Range792
Interquartile range (IQR)74

Descriptive statistics

Standard deviation124.83531
Coefficient of variation (CV)1.7190566
Kurtosis12.057809
Mean72.618497
Median Absolute Deviation (MAD)24
Skewness3.2188493
Sum12563
Variance15583.854
MonotonicityNot monotonic
2023-12-11T09:09:07.376458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
9.2%
1 10
 
5.8%
4 5
 
2.9%
14 5
 
2.9%
3 4
 
2.3%
6 4
 
2.3%
18 4
 
2.3%
5 4
 
2.3%
8 4
 
2.3%
35 3
 
1.7%
Other values (81) 114
65.9%
ValueCountFrequency (%)
0 16
9.2%
1 10
5.8%
2 3
 
1.7%
3 4
 
2.3%
4 5
 
2.9%
5 4
 
2.3%
6 4
 
2.3%
7 3
 
1.7%
8 4
 
2.3%
9 2
 
1.2%
ValueCountFrequency (%)
792 1
0.6%
674 1
0.6%
596 1
0.6%
555 1
0.6%
502 1
0.6%
418 1
0.6%
407 1
0.6%
382 1
0.6%
332 1
0.6%
257 1
0.6%

구거 면적
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192963.02
Minimum0
Maximum1656721.9
Zeros11
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:07.522321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181632.2
median117149
Q3172565.8
95-th percentile854160.98
Maximum1656721.9
Range1656721.9
Interquartile range (IQR)90933.6

Descriptive statistics

Standard deviation290007.78
Coefficient of variation (CV)1.502919
Kurtosis11.303899
Mean192963.02
Median Absolute Deviation (MAD)48220.7
Skewness3.3375826
Sum33382602
Variance8.4104514 × 1010
MonotonicityNot monotonic
2023-12-11T09:09:07.653383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
6.4%
14222.0 1
 
0.6%
139887.0 1
 
0.6%
97777.5 1
 
0.6%
797013.0 1
 
0.6%
203711.0 1
 
0.6%
149290.0 1
 
0.6%
114407.0 1
 
0.6%
22424.0 1
 
0.6%
88655.0 1
 
0.6%
Other values (153) 153
88.4%
ValueCountFrequency (%)
0.0 11
6.4%
271.0 1
 
0.6%
902.0 1
 
0.6%
3088.6 1
 
0.6%
3274.2 1
 
0.6%
9332.0 1
 
0.6%
10448.1 1
 
0.6%
10457.0 1
 
0.6%
14222.0 1
 
0.6%
18233.0 1
 
0.6%
ValueCountFrequency (%)
1656721.9 1
0.6%
1547295.1 1
0.6%
1492022.1 1
0.6%
1402687.9 1
0.6%
1303344.1 1
0.6%
1105288.1 1
0.6%
1071475.2 1
0.6%
900567.3 1
0.6%
859400.9 1
0.6%
850667.7 1
0.6%

구거 지번수
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.89017
Minimum0
Maximum1437
Zeros11
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:07.796907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q170
median112
Q3167
95-th percentile875.2
Maximum1437
Range1437
Interquartile range (IQR)97

Descriptive statistics

Standard deviation273.47685
Coefficient of variation (CV)1.4633024
Kurtosis9.3519445
Mean186.89017
Median Absolute Deviation (MAD)47
Skewness3.113023
Sum32332
Variance74789.587
MonotonicityNot monotonic
2023-12-11T09:09:07.948205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
6.4%
144 4
 
2.3%
99 3
 
1.7%
103 3
 
1.7%
90 3
 
1.7%
35 2
 
1.2%
169 2
 
1.2%
114 2
 
1.2%
107 2
 
1.2%
141 2
 
1.2%
Other values (116) 139
80.3%
ValueCountFrequency (%)
0 11
6.4%
1 1
 
0.6%
2 1
 
0.6%
3 1
 
0.6%
8 1
 
0.6%
15 1
 
0.6%
16 1
 
0.6%
21 1
 
0.6%
24 1
 
0.6%
31 1
 
0.6%
ValueCountFrequency (%)
1437 1
0.6%
1391 1
0.6%
1373 1
0.6%
1246 1
0.6%
1217 1
0.6%
1145 1
0.6%
985 1
0.6%
928 1
0.6%
892 1
0.6%
864 1
0.6%

유지 면적
Real number (ℝ)

ZEROS 

Distinct145
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254387.17
Minimum0
Maximum10658942
Zeros29
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:08.095533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15362
median17431
Q3115333
95-th percentile1532818.4
Maximum10658942
Range10658942
Interquartile range (IQR)109971

Descriptive statistics

Standard deviation932527.66
Coefficient of variation (CV)3.6657811
Kurtosis91.292554
Mean254387.17
Median Absolute Deviation (MAD)17431
Skewness8.6243246
Sum44008980
Variance8.6960784 × 1011
MonotonicityNot monotonic
2023-12-11T09:09:08.230879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
16.8%
216002.0 1
 
0.6%
4116.0 1
 
0.6%
4790.0 1
 
0.6%
4373.0 1
 
0.6%
12335.0 1
 
0.6%
267934.0 1
 
0.6%
7187.0 1
 
0.6%
46038.0 1
 
0.6%
14509.0 1
 
0.6%
Other values (135) 135
78.0%
ValueCountFrequency (%)
0.0 29
16.8%
35.0 1
 
0.6%
83.0 1
 
0.6%
354.0 1
 
0.6%
423.0 1
 
0.6%
476.0 1
 
0.6%
507.0 1
 
0.6%
553.0 1
 
0.6%
736.0 1
 
0.6%
1176.0 1
 
0.6%
ValueCountFrequency (%)
10658942.0 1
0.6%
2861338.0 1
0.6%
2501951.0 1
0.6%
2305153.0 1
0.6%
2114222.0 1
0.6%
1982755.0 1
0.6%
1867472.0 1
0.6%
1838284.0 1
0.6%
1563059.0 1
0.6%
1512658.0 1
0.6%

유지 지번수
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.10405
Minimum0
Maximum6181
Zeros29
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:08.381466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q349
95-th percentile519.8
Maximum6181
Range6181
Interquartile range (IQR)46

Descriptive statistics

Standard deviation582.85943
Coefficient of variation (CV)3.9893449
Kurtosis69.829058
Mean146.10405
Median Absolute Deviation (MAD)11
Skewness7.5844859
Sum25276
Variance339725.12
MonotonicityNot monotonic
2023-12-11T09:09:08.539580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
16.8%
2 10
 
5.8%
5 7
 
4.0%
4 7
 
4.0%
11 7
 
4.0%
27 6
 
3.5%
8 6
 
3.5%
14 5
 
2.9%
3 4
 
2.3%
1 4
 
2.3%
Other values (67) 88
50.9%
ValueCountFrequency (%)
0 29
16.8%
1 4
 
2.3%
2 10
 
5.8%
3 4
 
2.3%
4 7
 
4.0%
5 7
 
4.0%
6 3
 
1.7%
7 4
 
2.3%
8 6
 
3.5%
9 4
 
2.3%
ValueCountFrequency (%)
6181 1
0.6%
2422 1
0.6%
2365 1
0.6%
1772 1
0.6%
1751 1
0.6%
1588 1
0.6%
1266 1
0.6%
669 1
0.6%
554 1
0.6%
497 1
0.6%

양어장 면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
167 
2390
 
2
2019
 
2
1952
 
2

Length

Max length4
Median length1
Mean length1.1040462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 167
96.5%
2390 2
 
1.2%
2019 2
 
1.2%
1952 2
 
1.2%

Length

2023-12-11T09:09:08.684102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:09:08.797711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 167
96.5%
2390 2
 
1.2%
2019 2
 
1.2%
1952 2
 
1.2%

양어장 지번수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
167 
1
 
4
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 167
96.5%
1 4
 
2.3%
3 2
 
1.2%

Length

2023-12-11T09:09:08.905626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:09:09.020878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 167
96.5%
1 4
 
2.3%
3 2
 
1.2%

수도용지 면적
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2957.4509
Minimum0
Maximum87997
Zeros118
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:09.130450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3328
95-th percentile15237
Maximum87997
Range87997
Interquartile range (IQR)328

Descriptive statistics

Standard deviation10461.527
Coefficient of variation (CV)3.5373459
Kurtosis36.175098
Mean2957.4509
Median Absolute Deviation (MAD)0
Skewness5.6491125
Sum511639
Variance1.0944354 × 108
MonotonicityNot monotonic
2023-12-11T09:09:09.259869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 118
68.2%
252.0 2
 
1.2%
3304.0 2
 
1.2%
259.0 2
 
1.2%
4898.0 1
 
0.6%
5470.0 1
 
0.6%
3199.0 1
 
0.6%
2231.0 1
 
0.6%
40.0 1
 
0.6%
3402.5 1
 
0.6%
Other values (43) 43
 
24.9%
ValueCountFrequency (%)
0.0 118
68.2%
16.0 1
 
0.6%
40.0 1
 
0.6%
78.0 1
 
0.6%
90.0 1
 
0.6%
106.0 1
 
0.6%
169.5 1
 
0.6%
252.0 2
 
1.2%
259.0 2
 
1.2%
315.0 1
 
0.6%
ValueCountFrequency (%)
87997.0 1
0.6%
66933.5 1
0.6%
47828.5 1
0.6%
44522.0 1
0.6%
39085.0 1
0.6%
20863.3 1
0.6%
18891.5 1
0.6%
15254.0 1
0.6%
15252.0 1
0.6%
15227.0 1
0.6%

수도용지 지번수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2543353
Minimum0
Maximum182
Zeros118
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:09.370240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile36.2
Maximum182
Range182
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.0009
Coefficient of variation (CV)3.5177039
Kurtosis33.048631
Mean6.2543353
Median Absolute Deviation (MAD)0
Skewness5.3487818
Sum1082
Variance484.03959
MonotonicityNot monotonic
2023-12-11T09:09:09.749591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 118
68.2%
1 17
 
9.8%
2 7
 
4.0%
12 4
 
2.3%
7 4
 
2.3%
3 3
 
1.7%
35 3
 
1.7%
4 2
 
1.2%
6 2
 
1.2%
38 1
 
0.6%
Other values (12) 12
 
6.9%
ValueCountFrequency (%)
0 118
68.2%
1 17
 
9.8%
2 7
 
4.0%
3 3
 
1.7%
4 2
 
1.2%
5 1
 
0.6%
6 2
 
1.2%
7 4
 
2.3%
12 4
 
2.3%
16 1
 
0.6%
ValueCountFrequency (%)
182 1
 
0.6%
128 1
 
0.6%
122 1
 
0.6%
79 1
 
0.6%
58 1
 
0.6%
55 1
 
0.6%
53 1
 
0.6%
45 1
 
0.6%
38 1
 
0.6%
35 3
1.7%

공원 면적
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14165.754
Minimum0
Maximum864640
Zeros134
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:09.865438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile51086.98
Maximum864640
Range864640
Interquartile range (IQR)0

Descriptive statistics

Standard deviation72521.042
Coefficient of variation (CV)5.1194623
Kurtosis111.54249
Mean14165.754
Median Absolute Deviation (MAD)0
Skewness9.8212157
Sum2450675.4
Variance5.2593015 × 109
MonotonicityNot monotonic
2023-12-11T09:09:10.000157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 134
77.5%
6961.7 2
 
1.2%
45235.0 2
 
1.2%
180801.1 2
 
1.2%
20553.4 2
 
1.2%
154344.6 2
 
1.2%
7663.3 2
 
1.2%
8280.0 1
 
0.6%
16366.7 1
 
0.6%
1764.0 1
 
0.6%
Other values (24) 24
 
13.9%
ValueCountFrequency (%)
0.0 134
77.5%
116.0 1
 
0.6%
889.6 1
 
0.6%
904.5 1
 
0.6%
1178.0 1
 
0.6%
1209.6 1
 
0.6%
1764.0 1
 
0.6%
3073.8 1
 
0.6%
3284.5 1
 
0.6%
5433.1 1
 
0.6%
ValueCountFrequency (%)
864640.0 1
0.6%
180801.1 2
1.2%
167117.3 1
0.6%
154344.6 2
1.2%
153584.6 1
0.6%
108859.9 1
0.6%
55356.4 1
0.6%
48240.7 1
0.6%
45235.0 2
1.2%
40147.0 1
0.6%

공원 지번수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8554913
Minimum0
Maximum85
Zeros134
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:10.122038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.538456
Coefficient of variation (CV)2.992733
Kurtosis18.185072
Mean3.8554913
Median Absolute Deviation (MAD)0
Skewness3.9471803
Sum667
Variance133.13597
MonotonicityNot monotonic
2023-12-11T09:09:10.236357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 134
77.5%
1 6
 
3.5%
3 5
 
2.9%
28 5
 
2.9%
2 3
 
1.7%
6 2
 
1.2%
9 2
 
1.2%
48 2
 
1.2%
10 2
 
1.2%
16 1
 
0.6%
Other values (11) 11
 
6.4%
ValueCountFrequency (%)
0 134
77.5%
1 6
 
3.5%
2 3
 
1.7%
3 5
 
2.9%
4 1
 
0.6%
5 1
 
0.6%
6 2
 
1.2%
7 1
 
0.6%
9 2
 
1.2%
10 2
 
1.2%
ValueCountFrequency (%)
85 1
 
0.6%
50 1
 
0.6%
48 2
 
1.2%
40 1
 
0.6%
39 1
 
0.6%
35 1
 
0.6%
34 1
 
0.6%
28 5
2.9%
27 1
 
0.6%
16 1
 
0.6%

체육용지 면적
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16096.587
Minimum0
Maximum1065006
Zeros141
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:10.432871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28259.8
Maximum1065006
Range1065006
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95803.301
Coefficient of variation (CV)5.9517774
Kurtosis88.203302
Mean16096.587
Median Absolute Deviation (MAD)0
Skewness8.8105267
Sum2784709.5
Variance9.1782725 × 109
MonotonicityNot monotonic
2023-12-11T09:09:10.567699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 141
81.5%
407.0 2
 
1.2%
300.0 2
 
1.2%
128196.6 1
 
0.6%
10374.0 1
 
0.6%
4349.0 1
 
0.6%
8322.0 1
 
0.6%
12671.0 1
 
0.6%
9274.0 1
 
0.6%
2407.0 1
 
0.6%
Other values (21) 21
 
12.1%
ValueCountFrequency (%)
0.0 141
81.5%
300.0 2
 
1.2%
407.0 2
 
1.2%
928.0 1
 
0.6%
2407.0 1
 
0.6%
2588.0 1
 
0.6%
2949.0 1
 
0.6%
3285.0 1
 
0.6%
4208.0 1
 
0.6%
4349.0 1
 
0.6%
ValueCountFrequency (%)
1065006.0 1
0.6%
473500.0 1
0.6%
392510.0 1
0.6%
206214.9 1
0.6%
198996.0 1
0.6%
128196.6 1
0.6%
65998.0 1
0.6%
65070.0 1
0.6%
50650.0 1
0.6%
13333.0 1
0.6%

체육용지 지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3583815
Minimum0
Maximum162
Zeros141
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:10.721676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum162
Range162
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.414499
Coefficient of variation (CV)6.1120304
Kurtosis93.061703
Mean2.3583815
Median Absolute Deviation (MAD)0
Skewness9.1705414
Sum408
Variance207.77779
MonotonicityNot monotonic
2023-12-11T09:09:10.850623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 141
81.5%
1 8
 
4.6%
2 6
 
3.5%
3 5
 
2.9%
6 3
 
1.7%
5 3
 
1.7%
4 2
 
1.2%
162 1
 
0.6%
24 1
 
0.6%
68 1
 
0.6%
Other values (2) 2
 
1.2%
ValueCountFrequency (%)
0 141
81.5%
1 8
 
4.6%
2 6
 
3.5%
3 5
 
2.9%
4 2
 
1.2%
5 3
 
1.7%
6 3
 
1.7%
8 1
 
0.6%
24 1
 
0.6%
68 1
 
0.6%
ValueCountFrequency (%)
162 1
 
0.6%
70 1
 
0.6%
68 1
 
0.6%
24 1
 
0.6%
8 1
 
0.6%
6 3
1.7%
5 3
1.7%
4 2
 
1.2%
3 5
2.9%
2 6
3.5%

유원지 면적
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1122.6879
Minimum0
Maximum43331
Zeros162
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:10.978649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1013.6
Maximum43331
Range43331
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6244.6882
Coefficient of variation (CV)5.5622657
Kurtosis37.676362
Mean1122.6879
Median Absolute Deviation (MAD)0
Skewness6.1830881
Sum194225
Variance38996130
MonotonicityNot monotonic
2023-12-11T09:09:11.074749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 162
93.6%
7784.0 2
 
1.2%
43331.0 2
 
1.2%
676.0 2
 
1.2%
6010.0 2
 
1.2%
39311.5 1
 
0.6%
37791.5 1
 
0.6%
1520.0 1
 
0.6%
ValueCountFrequency (%)
0.0 162
93.6%
676.0 2
 
1.2%
1520.0 1
 
0.6%
6010.0 2
 
1.2%
7784.0 2
 
1.2%
37791.5 1
 
0.6%
39311.5 1
 
0.6%
43331.0 2
 
1.2%
ValueCountFrequency (%)
43331.0 2
 
1.2%
39311.5 1
 
0.6%
37791.5 1
 
0.6%
7784.0 2
 
1.2%
6010.0 2
 
1.2%
1520.0 1
 
0.6%
676.0 2
 
1.2%
0.0 162
93.6%

유원지 지번수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43930636
Minimum0
Maximum15
Zeros162
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:11.181545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.176263
Coefficient of variation (CV)4.9538617
Kurtosis32.870909
Mean0.43930636
Median Absolute Deviation (MAD)0
Skewness5.6883211
Sum76
Variance4.7361204
MonotonicityNot monotonic
2023-12-11T09:09:11.303689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 162
93.6%
1 3
 
1.7%
5 2
 
1.2%
15 2
 
1.2%
4 2
 
1.2%
13 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
0 162
93.6%
1 3
 
1.7%
4 2
 
1.2%
5 2
 
1.2%
12 1
 
0.6%
13 1
 
0.6%
15 2
 
1.2%
ValueCountFrequency (%)
15 2
 
1.2%
13 1
 
0.6%
12 1
 
0.6%
5 2
 
1.2%
4 2
 
1.2%
1 3
 
1.7%
0 162
93.6%

종교용지 면적
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455.8474
Minimum0
Maximum36620
Zeros41
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:11.433358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q193
median985
Q33674
95-th percentile15696
Maximum36620
Range36620
Interquartile range (IQR)3581

Descriptive statistics

Standard deviation5953.5888
Coefficient of variation (CV)1.722758
Kurtosis8.5253947
Mean3455.8474
Median Absolute Deviation (MAD)985
Skewness2.7436509
Sum597861.6
Variance35445220
MonotonicityNot monotonic
2023-12-11T09:09:11.599258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
 
23.7%
359.0 2
 
1.2%
374.0 2
 
1.2%
15924.0 1
 
0.6%
12004.0 1
 
0.6%
36620.0 1
 
0.6%
4381.0 1
 
0.6%
15544.0 1
 
0.6%
1143.0 1
 
0.6%
3189.0 1
 
0.6%
Other values (121) 121
69.9%
ValueCountFrequency (%)
0.0 41
23.7%
3.0 1
 
0.6%
79.0 1
 
0.6%
93.0 1
 
0.6%
129.0 1
 
0.6%
131.0 1
 
0.6%
148.0 1
 
0.6%
160.0 1
 
0.6%
162.0 1
 
0.6%
190.4 1
 
0.6%
ValueCountFrequency (%)
36620.0 1
0.6%
27301.0 1
0.6%
24422.0 1
0.6%
23441.0 1
0.6%
22707.0 1
0.6%
22247.0 1
0.6%
20147.0 1
0.6%
18808.0 1
0.6%
15924.0 1
0.6%
15544.0 1
0.6%

종교용지 지번수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9190751
Minimum0
Maximum42
Zeros41
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:11.762456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile15.4
Maximum42
Range42
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.0207331
Coefficient of variation (CV)1.5362638
Kurtosis12.135989
Mean3.9190751
Median Absolute Deviation (MAD)2
Skewness3.0581671
Sum678
Variance36.249227
MonotonicityNot monotonic
2023-12-11T09:09:11.897758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 41
23.7%
1 38
22.0%
2 23
13.3%
3 18
10.4%
4 14
 
8.1%
6 6
 
3.5%
15 5
 
2.9%
5 4
 
2.3%
9 3
 
1.7%
7 3
 
1.7%
Other values (12) 18
10.4%
ValueCountFrequency (%)
0 41
23.7%
1 38
22.0%
2 23
13.3%
3 18
10.4%
4 14
 
8.1%
5 4
 
2.3%
6 6
 
3.5%
7 3
 
1.7%
8 3
 
1.7%
9 3
 
1.7%
ValueCountFrequency (%)
42 1
 
0.6%
31 1
 
0.6%
24 2
 
1.2%
22 1
 
0.6%
18 2
 
1.2%
17 1
 
0.6%
16 1
 
0.6%
15 5
2.9%
13 1
 
0.6%
12 2
 
1.2%

사적지 면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
172 
334
 
1

Length

Max length3
Median length1
Mean length1.0115607
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 172
99.4%
334 1
 
0.6%

Length

2023-12-11T09:09:12.032475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:09:12.135303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 172
99.4%
334 1
 
0.6%

사적지 지번수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
172 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 172
99.4%
1 1
 
0.6%

Length

2023-12-11T09:09:12.242702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:09:12.362057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 172
99.4%
1 1
 
0.6%

묘지 면적
Real number (ℝ)

ZEROS 

Distinct155
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31003.171
Minimum0
Maximum581401.2
Zeros19
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:12.466463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11860
median11391
Q325422
95-th percentile132144.6
Maximum581401.2
Range581401.2
Interquartile range (IQR)23562

Descriptive statistics

Standard deviation71541.037
Coefficient of variation (CV)2.3075394
Kurtosis38.481252
Mean31003.171
Median Absolute Deviation (MAD)10282
Skewness5.6403515
Sum5363548.6
Variance5.11812 × 109
MonotonicityNot monotonic
2023-12-11T09:09:12.617427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
11.0%
7523.0 1
 
0.6%
125671.0 1
 
0.6%
89341.0 1
 
0.6%
4535.0 1
 
0.6%
9934.0 1
 
0.6%
2189.0 1
 
0.6%
33696.0 1
 
0.6%
274.0 1
 
0.6%
38713.0 1
 
0.6%
Other values (145) 145
83.8%
ValueCountFrequency (%)
0.0 19
11.0%
77.0 1
 
0.6%
80.0 1
 
0.6%
98.0 1
 
0.6%
100.0 1
 
0.6%
110.0 1
 
0.6%
195.0 1
 
0.6%
274.0 1
 
0.6%
287.0 1
 
0.6%
377.0 1
 
0.6%
ValueCountFrequency (%)
581401.2 1
0.6%
568660.0 1
0.6%
261839.0 1
0.6%
199583.0 1
0.6%
198099.0 1
0.6%
145448.0 1
0.6%
144181.0 1
0.6%
143025.0 1
0.6%
141855.0 1
0.6%
125671.0 1
0.6%

묘지 지번수
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.075145
Minimum0
Maximum158
Zeros19
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:12.778543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q320
95-th percentile84.8
Maximum158
Range158
Interquartile range (IQR)17

Descriptive statistics

Standard deviation27.802671
Coefficient of variation (CV)1.5381714
Kurtosis9.3188115
Mean18.075145
Median Absolute Deviation (MAD)7
Skewness2.957536
Sum3127
Variance772.98851
MonotonicityNot monotonic
2023-12-11T09:09:12.918828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 19
 
11.0%
7 13
 
7.5%
6 10
 
5.8%
1 10
 
5.8%
5 9
 
5.2%
3 8
 
4.6%
15 7
 
4.0%
12 7
 
4.0%
2 7
 
4.0%
4 7
 
4.0%
Other values (39) 76
43.9%
ValueCountFrequency (%)
0 19
11.0%
1 10
5.8%
2 7
 
4.0%
3 8
4.6%
4 7
 
4.0%
5 9
5.2%
6 10
5.8%
7 13
7.5%
8 2
 
1.2%
9 4
 
2.3%
ValueCountFrequency (%)
158 1
0.6%
151 1
0.6%
131 1
0.6%
117 1
0.6%
111 1
0.6%
106 1
0.6%
90 1
0.6%
89 1
0.6%
86 1
0.6%
84 1
0.6%

잡종지 면적
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51152.521
Minimum0
Maximum2360460.3
Zeros10
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:13.065992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12120
median6203
Q323210
95-th percentile172219.36
Maximum2360460.3
Range2360460.3
Interquartile range (IQR)21090

Descriptive statistics

Standard deviation204043.37
Coefficient of variation (CV)3.988921
Kurtosis97.805925
Mean51152.521
Median Absolute Deviation (MAD)5316
Skewness9.1379039
Sum8849386.2
Variance4.1633695 × 1010
MonotonicityNot monotonic
2023-12-11T09:09:13.230974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
5.8%
2097.0 2
 
1.2%
17025.0 1
 
0.6%
10876.0 1
 
0.6%
863.0 1
 
0.6%
2629.6 1
 
0.6%
2360460.3 1
 
0.6%
19717.0 1
 
0.6%
427147.0 1
 
0.6%
171083.6 1
 
0.6%
Other values (153) 153
88.4%
ValueCountFrequency (%)
0.0 10
5.8%
132.0 1
 
0.6%
178.2 1
 
0.6%
313.0 1
 
0.6%
350.0 1
 
0.6%
449.0 1
 
0.6%
460.9 1
 
0.6%
538.0 1
 
0.6%
628.0 1
 
0.6%
654.3 1
 
0.6%
ValueCountFrequency (%)
2360460.3 1
0.6%
866839.0 1
0.6%
594361.0 1
0.6%
450113.0 1
0.6%
427147.0 1
0.6%
425396.0 1
0.6%
255958.5 1
0.6%
244434.6 1
0.6%
173923.0 1
0.6%
171083.6 1
0.6%

잡종지 지번수
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.803468
Minimum0
Maximum300
Zeros10
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:09:13.378003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median12
Q326
95-th percentile114.6
Maximum300
Range300
Interquartile range (IQR)20

Descriptive statistics

Standard deviation42.304359
Coefficient of variation (CV)1.5783166
Kurtosis13.600599
Mean26.803468
Median Absolute Deviation (MAD)8
Skewness3.316892
Sum4637
Variance1789.6588
MonotonicityNot monotonic
2023-12-11T09:09:13.568810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
9.2%
7 11
 
6.4%
0 10
 
5.8%
8 8
 
4.6%
10 8
 
4.6%
6 8
 
4.6%
13 7
 
4.0%
12 6
 
3.5%
15 6
 
3.5%
3 5
 
2.9%
Other values (50) 88
50.9%
ValueCountFrequency (%)
0 10
5.8%
1 1
 
0.6%
2 5
 
2.9%
3 5
 
2.9%
4 16
9.2%
5 5
 
2.9%
6 8
4.6%
7 11
6.4%
8 8
4.6%
9 5
 
2.9%
ValueCountFrequency (%)
300 1
0.6%
212 1
0.6%
184 1
0.6%
165 1
0.6%
162 1
0.6%
151 1
0.6%
142 1
0.6%
135 1
0.6%
129 1
0.6%
105 1
0.6%

Sample

토지소재지면적총 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
010100-망경동1495657.04175201037.037576903.01760.0000317427.0930000361732.024970.0028046.0127082.021733.010.00144228.069126048.0118311.02271845.01114222.035423.05003970.041178.0160.000.0015924.015007523.02617025.077
110200-주약동3560344.02061264885.0394237651.0232168428.014001642939.02410000308578.05577627.01587132.041762.035258.012592.01139324.037964919.06720344.07369828.01453941.0780.00000.000.000.000.004069.0200145448.01137619.030
210300-강남동326168.110252144.013329.040.00000.000000160073.26980.000.002727.07534.010.0060144.927775321.012340.0324126.030.000.00000.00116.010.000.000.00000.00313.06
310400-칠암동1080270.718186150.02227.020.000020555.060000327116.213510.00218394.3152630.040.000.00163001.73750.004991.017323506.0170.000.00000.006414.410.000.006830.85000.00654.33
410500-본성동139927.83220.000.000.00000.00000052921.52540.000.000.000.000.0031804.5320.000.0031436.710.000.00000.0023765.1350.000.000.00000.000.00
510600-동성동87403.02790.000.000.00000.00000048036.02550.000.002554.170.000.0030849.3150.00476.015487.610.000.00000.000.000.000.000.00000.000.00
610700-남성동206698.43302304.070.000.00000.00000074879.41890.000.000.000.000.0026047.9660.002782.61034869.830.000.00006509.51248240.7340.000.004667.8233410.006062.76
710800-인사동347954.415795834.069940.090.00000.000000200029.411400.0020938.51178.020.00300.0196598.92760.0018414.058629.023274.2160.00000.000.000.000.00190.41000.00628.04
810900-대안동88989.78170.000.000.00000.00000058551.08060.000.000.000.000.0030438.7110.000.000.000.000.00000.000.000.000.000.00000.000.00
911000-평안동68344.72210.000.000.00000.00000043933.12020.000.000.000.000.0024411.6190.000.000.000.000.00000.000.000.000.000.00000.000.00
토지소재지면적총 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
16345026-내촌리4071070.0256070577.013042411.03317592.019001512268.0176000049489.0117689.010.000.000.001144.0279881.02780.000.00163791.0818233.0212114222.01772000.000.000.000.000.0000100.01673.02
16446000-수곡면42598303.1168451657175.122347995914.65016252088.061521922126059706.022010000675175.217612279.0447628.0164232.312769.0138250.3511194224.525380.00359276.06462740548.06741105288.11217235309.0232195213304.010.0012671.066010.0410059.0110093693.06150559.076
16546021-자매리5882389.01729196082.0239811171.050585790.010703054084396.0336000047068.01230.000.000.000.002458.05143804.02280.000.00250142.014128805.014196917.0100000.000.000.000.003942.030015146.0149638.06
16646022-사곡리8233192.42723315272.14321503414.776945716.05970035418724.04040000109751.0256458.01850.06576.610.003584.38303665.34640.0015260.035233681.920196367.526032784.028000.000.008322.046010.04997.010017407.01010651.012
16746023-대천리5703151.02390214355.03321078116.76680.001039643727130.0392000099943.02560.0028679.07442.010.0015233.012193679.54040.0038768.05089161.133165369.71726822.09000.000.004349.020.00973.020014125.01915609.027
16846024-창촌리4970048.01941395001.0336591255.043830832.0212319852715505.0275000090583.02310.000.001250.020.002278.05115765.03050.0061875.073770907.0101125162.01187869.014000.000.000.000.00496.010029156.068916.010
16946025-효자리7208227.02171192014.03121012961.057368113.015128635376332.0341000084436.02231821.030.001036.05769.011442.04136760.04090.0014959.044107467.025184105.019110650.09003304.010.000.000.00495.01008090.042187.07
17046026-원내리4171528.02177139165.0254976829.06730.0058212107457.0203000086854.02440.000.000.000.008711.010123711.02770.0061185.0137495326.018892580.011472136.064195210.000.000.000.002745.02001094.031201.06
17146027-원외리2647760.0196699083.01851009059.073721637.01000680377.086000070086.02050.0010744.02247.010.002736.0268436.02040.00118249.0241487196.020871323.0760.00000.000.000.000.00411.01006268.021908.06
17246028-원계리3782007.71748106203.01441013108.26530.00001949785.0164000086454.22230.007355.01680.720.001808.05108403.72470.0048980.066306667.085141575.91458131.08000.000.000.000.000.00002407.03449.02