Overview

Dataset statistics

Number of variables57
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory518.3 B

Variable types

Text1
Numeric47
Categorical9

Dataset

Description인천광역시 서구 행정구역별 지목현황 데이터로 각 동 (검암동 경서동 공촌동 연희동 심곡동 가정동 신현동 석남동 원창동 가좌동 마전동 당하동 원당동 대곡동 금곡동 오류동 왕길동 불로동 청라동)의 지목별 현황을 제공합니다- 각 항목별 면적, 지번수로 구분
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090947&srcSe=7661IVAWM27C61E190

Alerts

광천 면적 has constant value ""Constant
광천 지번수 has constant value ""Constant
사적지 면적 has constant value ""Constant
사적지 지번수 has constant value ""Constant
양어장 면적 is highly imbalanced (65.4%)Imbalance
양어장 지번수 is highly imbalanced (54.6%)Imbalance
유원지 면적 is highly imbalanced (72.4%)Imbalance
유원지 지번수 is highly imbalanced (72.4%)Imbalance
토지소재지 has unique valuesUnique
전 면적 has unique valuesUnique
전 지번수 has unique valuesUnique
답 면적 has unique valuesUnique
답 지번수 has unique valuesUnique
임야 면적 has unique valuesUnique
임야 지번수 has unique valuesUnique
대 면적 has unique valuesUnique
대 지번수 has unique valuesUnique
도로 면적 has unique valuesUnique
도로 지번수 has unique valuesUnique
구거 면적 has unique valuesUnique
잡종지 면적 has unique valuesUnique
과수원 면적 has 8 (38.1%) zerosZeros
과수원 지번수 has 8 (38.1%) zerosZeros
목장용지 면적 has 10 (47.6%) zerosZeros
목장용지 지번수 has 10 (47.6%) zerosZeros
염전 면적 has 16 (76.2%) zerosZeros
염전 지번수 has 16 (76.2%) zerosZeros
공장용지 면적 has 5 (23.8%) zerosZeros
공장용지 지번수 has 5 (23.8%) zerosZeros
학교용지 면적 has 3 (14.3%) zerosZeros
학교용지 지번수 has 3 (14.3%) zerosZeros
주차장 면적 has 2 (9.5%) zerosZeros
주차장 지번수 has 2 (9.5%) zerosZeros
주유소용지 면적 has 3 (14.3%) zerosZeros
주유소용지 지번수 has 3 (14.3%) zerosZeros
창고용지 면적 has 3 (14.3%) zerosZeros
창고용지 지번수 has 3 (14.3%) zerosZeros
철도용지 면적 has 10 (47.6%) zerosZeros
철도용지 지번수 has 10 (47.6%) zerosZeros
제방 면적 has 3 (14.3%) zerosZeros
제방 지번수 has 3 (14.3%) zerosZeros
하천 면적 has 4 (19.0%) zerosZeros
하천 지번수 has 4 (19.0%) zerosZeros
유지 면적 has 3 (14.3%) zerosZeros
유지 지번수 has 3 (14.3%) zerosZeros
수도용지 면적 has 15 (71.4%) zerosZeros
공원 면적 has 2 (9.5%) zerosZeros
공원 지번수 has 2 (9.5%) zerosZeros
체육용지 면적 has 10 (47.6%) zerosZeros
체육용지 지번수 has 10 (47.6%) zerosZeros
종교용지 면적 has 2 (9.5%) zerosZeros
종교용지 지번수 has 2 (9.5%) zerosZeros
묘지 면적 has 5 (23.8%) zerosZeros
묘지 지번수 has 5 (23.8%) zerosZeros

Reproduction

Analysis started2024-03-18 04:52:31.720122
Analysis finished2024-03-18 04:52:32.137085
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-18T13:52:32.247905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters189
Distinct characters48
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

Unique21 ?
Unique (%)100.0%

Sample

1st row10100-백석동
2nd row10200-시천동
3rd row10300-검암동
4th row10400-경서동
5th row10500-공촌동
ValueCountFrequency (%)
10100-백석동 1
 
4.8%
11200-가좌동 1
 
4.8%
12100-불로동 1
 
4.8%
12000-왕길동 1
 
4.8%
11900-오류동 1
 
4.8%
11800-금곡동 1
 
4.8%
11700-대곡동 1
 
4.8%
11500-원당동 1
 
4.8%
11400-당하동 1
 
4.8%
11300-마전동 1
 
4.8%
Other values (11) 11
52.4%
2024-03-18T13:52:32.520314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
28.0%
1 33
17.5%
- 21
 
11.1%
21
 
11.1%
2 6
 
3.2%
3
 
1.6%
5 2
 
1.1%
2
 
1.1%
2
 
1.1%
9 2
 
1.1%
Other values (38) 44
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105
55.6%
Other Letter 63
33.3%
Dash Punctuation 21
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
33.3%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (27) 27
42.9%
Decimal Number
ValueCountFrequency (%)
0 53
50.5%
1 33
31.4%
2 6
 
5.7%
5 2
 
1.9%
9 2
 
1.9%
7 2
 
1.9%
8 2
 
1.9%
4 2
 
1.9%
3 2
 
1.9%
6 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 126
66.7%
Hangul 63
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
33.3%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (27) 27
42.9%
Common
ValueCountFrequency (%)
0 53
42.1%
1 33
26.2%
- 21
 
16.7%
2 6
 
4.8%
5 2
 
1.6%
9 2
 
1.6%
7 2
 
1.6%
8 2
 
1.6%
4 2
 
1.6%
3 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126
66.7%
Hangul 63
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
42.1%
1 33
26.2%
- 21
 
16.7%
2 6
 
4.8%
5 2
 
1.6%
9 2
 
1.6%
7 2
 
1.6%
8 2
 
1.6%
4 2
 
1.6%
3 2
 
1.6%
Hangul
ValueCountFrequency (%)
21
33.3%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (27) 27
42.9%

전 면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321888.94
Minimum11690
Maximum922910.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:32.628508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11690
5-th percentile37888
Q1113632.6
median293216
Q3504035.6
95-th percentile637093.2
Maximum922910.8
Range911220.8
Interquartile range (IQR)390403

Descriptive statistics

Standard deviation244545.24
Coefficient of variation (CV)0.75971928
Kurtosis0.049720664
Mean321888.94
Median Absolute Deviation (MAD)210819.6
Skewness0.75771564
Sum6759667.8
Variance5.9802372 × 1010
MonotonicityNot monotonic
2024-03-18T13:52:32.718941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
323992.0 1
 
4.8%
189705.7 1
 
4.8%
922910.8 1
 
4.8%
604048.0 1
 
4.8%
344383.1 1
 
4.8%
637093.2 1
 
4.8%
400243.5 1
 
4.8%
582393.7 1
 
4.8%
67664.0 1
 
4.8%
182913.0 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
11690.0 1
4.8%
37888.0 1
4.8%
67664.0 1
4.8%
73463.0 1
4.8%
79062.0 1
4.8%
113632.6 1
4.8%
182913.0 1
4.8%
189705.7 1
4.8%
197619.8 1
4.8%
220311.0 1
4.8%
ValueCountFrequency (%)
922910.8 1
4.8%
637093.2 1
4.8%
604048.0 1
4.8%
598293.0 1
4.8%
582393.7 1
4.8%
504035.6 1
4.8%
400243.5 1
4.8%
375109.8 1
4.8%
344383.1 1
4.8%
323992.0 1
4.8%

전 지번수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339.61905
Minimum69
Maximum692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:32.818322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile70
Q1202
median326
Q3475
95-th percentile676
Maximum692
Range623
Interquartile range (IQR)273

Descriptive statistics

Standard deviation203.0277
Coefficient of variation (CV)0.59781011
Kurtosis-1.0886551
Mean339.61905
Median Absolute Deviation (MAD)149
Skewness0.25094137
Sum7132
Variance41220.248
MonotonicityNot monotonic
2024-03-18T13:52:32.909960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
380 1
 
4.8%
223 1
 
4.8%
205 1
 
4.8%
614 1
 
4.8%
528 1
 
4.8%
692 1
 
4.8%
574 1
 
4.8%
676 1
 
4.8%
96 1
 
4.8%
261 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
69 1
4.8%
70 1
4.8%
76 1
4.8%
96 1
4.8%
125 1
4.8%
202 1
4.8%
205 1
4.8%
223 1
4.8%
261 1
4.8%
304 1
4.8%
ValueCountFrequency (%)
692 1
4.8%
676 1
4.8%
614 1
4.8%
574 1
4.8%
528 1
4.8%
475 1
4.8%
474 1
4.8%
401 1
4.8%
380 1
4.8%
361 1
4.8%

답 면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean358653.2
Minimum3710
Maximum1483766.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:33.044527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3710
5-th percentile15296
Q165976
median232022
Q3419482.8
95-th percentile1102250.8
Maximum1483766.1
Range1480056.1
Interquartile range (IQR)353506.8

Descriptive statistics

Standard deviation398419.14
Coefficient of variation (CV)1.1108757
Kurtosis2.1126625
Mean358653.2
Median Absolute Deviation (MAD)187460.8
Skewness1.5691778
Sum7531717.3
Variance1.5873781 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:33.195415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
232022.0 1
 
4.8%
178664.6 1
 
4.8%
1102250.8 1
 
4.8%
824061.0 1
 
4.8%
304529.2 1
 
4.8%
1483766.1 1
 
4.8%
409101.5 1
 
4.8%
851490.2 1
 
4.8%
68041.0 1
 
4.8%
146067.0 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
3710.0 1
4.8%
15296.0 1
4.8%
27725.0 1
4.8%
28323.0 1
4.8%
43335.0 1
4.8%
65976.0 1
4.8%
68041.0 1
4.8%
146067.0 1
4.8%
172805.1 1
4.8%
178664.6 1
4.8%
ValueCountFrequency (%)
1483766.1 1
4.8%
1102250.8 1
4.8%
851490.2 1
4.8%
824061.0 1
4.8%
496410.0 1
4.8%
419482.8 1
4.8%
409101.5 1
4.8%
385725.0 1
4.8%
304529.2 1
4.8%
272936.0 1
4.8%

답 지번수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.09524
Minimum20
Maximum940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:33.309181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile25
Q183
median269
Q3458
95-th percentile916
Maximum940
Range920
Interquartile range (IQR)375

Descriptive statistics

Standard deviation280.66829
Coefficient of variation (CV)0.86069424
Kurtosis0.23908141
Mean326.09524
Median Absolute Deviation (MAD)187
Skewness0.98432497
Sum6848
Variance78774.69
MonotonicityNot monotonic
2024-03-18T13:52:33.405699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
297 1
 
4.8%
269 1
 
4.8%
298 1
 
4.8%
916 1
 
4.8%
266 1
 
4.8%
940 1
 
4.8%
535 1
 
4.8%
767 1
 
4.8%
139 1
 
4.8%
233 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20 1
4.8%
25 1
4.8%
36 1
4.8%
40 1
4.8%
82 1
4.8%
83 1
4.8%
139 1
4.8%
147 1
4.8%
233 1
4.8%
266 1
4.8%
ValueCountFrequency (%)
940 1
4.8%
916 1
4.8%
767 1
4.8%
535 1
4.8%
501 1
4.8%
458 1
4.8%
420 1
4.8%
376 1
4.8%
298 1
4.8%
297 1
4.8%

과수원 면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13502.619
Minimum0
Maximum70778
Zeros8
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:33.705926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7546
Q317189
95-th percentile48995
Maximum70778
Range70778
Interquartile range (IQR)17189

Descriptive statistics

Standard deviation19454.832
Coefficient of variation (CV)1.4408192
Kurtosis3.0840866
Mean13502.619
Median Absolute Deviation (MAD)7546
Skewness1.8887615
Sum283555
Variance3.784905 × 108
MonotonicityNot monotonic
2024-03-18T13:52:33.793140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
38.1%
24922 1
 
4.8%
9194 1
 
4.8%
9343 1
 
4.8%
47479 1
 
4.8%
2691 1
 
4.8%
10095 1
 
4.8%
17486 1
 
4.8%
6186 1
 
4.8%
11651 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
0 8
38.1%
2691 1
 
4.8%
6186 1
 
4.8%
7546 1
 
4.8%
9194 1
 
4.8%
9343 1
 
4.8%
10095 1
 
4.8%
11651 1
 
4.8%
17189 1
 
4.8%
17486 1
 
4.8%
ValueCountFrequency (%)
70778 1
4.8%
48995 1
4.8%
47479 1
4.8%
24922 1
4.8%
17486 1
4.8%
17189 1
4.8%
11651 1
4.8%
10095 1
4.8%
9343 1
4.8%
9194 1
4.8%

과수원 지번수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3809524
Minimum0
Maximum51
Zeros8
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:33.883465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q312
95-th percentile36
Maximum51
Range51
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.005676
Coefficient of variation (CV)1.5518137
Kurtosis5.7681815
Mean8.3809524
Median Absolute Deviation (MAD)4
Skewness2.3543048
Sum176
Variance169.14762
MonotonicityNot monotonic
2024-03-18T13:52:33.978191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 8
38.1%
4 2
 
9.5%
13 2
 
9.5%
16 1
 
4.8%
8 1
 
4.8%
12 1
 
4.8%
1 1
 
4.8%
6 1
 
4.8%
3 1
 
4.8%
51 1
 
4.8%
Other values (2) 2
 
9.5%
ValueCountFrequency (%)
0 8
38.1%
1 1
 
4.8%
3 1
 
4.8%
4 2
 
9.5%
6 1
 
4.8%
8 1
 
4.8%
9 1
 
4.8%
12 1
 
4.8%
13 2
 
9.5%
16 1
 
4.8%
ValueCountFrequency (%)
51 1
4.8%
36 1
4.8%
16 1
4.8%
13 2
9.5%
12 1
4.8%
9 1
4.8%
8 1
4.8%
6 1
4.8%
4 2
9.5%
3 1
4.8%

목장용지 면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4295.2857
Minimum0
Maximum26015
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:34.072477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median515
Q39218
95-th percentile12820
Maximum26015
Range26015
Interquartile range (IQR)9218

Descriptive statistics

Standard deviation6669.3826
Coefficient of variation (CV)1.5527215
Kurtosis4.545054
Mean4295.2857
Median Absolute Deviation (MAD)515
Skewness1.9988102
Sum90201
Variance44480664
MonotonicityNot monotonic
2024-03-18T13:52:34.166487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
47.6%
1989 1
 
4.8%
1530 1
 
4.8%
515 1
 
4.8%
2467 1
 
4.8%
12820 1
 
4.8%
10607 1
 
4.8%
9218 1
 
4.8%
10507 1
 
4.8%
5054 1
 
4.8%
Other values (2) 2
 
9.5%
ValueCountFrequency (%)
0 10
47.6%
515 1
 
4.8%
1530 1
 
4.8%
1989 1
 
4.8%
2467 1
 
4.8%
5054 1
 
4.8%
9218 1
 
4.8%
9479 1
 
4.8%
10507 1
 
4.8%
10607 1
 
4.8%
ValueCountFrequency (%)
26015 1
4.8%
12820 1
4.8%
10607 1
4.8%
10507 1
4.8%
9479 1
4.8%
9218 1
4.8%
5054 1
4.8%
2467 1
4.8%
1989 1
4.8%
1530 1
4.8%

목장용지 지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.047619
Minimum0
Maximum17
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:34.306412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile13
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.7484333
Coefficient of variation (CV)1.5580797
Kurtosis3.0738495
Mean3.047619
Median Absolute Deviation (MAD)1
Skewness1.859507
Sum64
Variance22.547619
MonotonicityNot monotonic
2024-03-18T13:52:34.424616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 10
47.6%
1 3
 
14.3%
4 2
 
9.5%
2 1
 
4.8%
7 1
 
4.8%
6 1
 
4.8%
17 1
 
4.8%
13 1
 
4.8%
8 1
 
4.8%
ValueCountFrequency (%)
0 10
47.6%
1 3
 
14.3%
2 1
 
4.8%
4 2
 
9.5%
6 1
 
4.8%
7 1
 
4.8%
8 1
 
4.8%
13 1
 
4.8%
17 1
 
4.8%
ValueCountFrequency (%)
17 1
 
4.8%
13 1
 
4.8%
8 1
 
4.8%
7 1
 
4.8%
6 1
 
4.8%
4 2
 
9.5%
2 1
 
4.8%
1 3
 
14.3%
0 10
47.6%

임야 면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1193174.7
Minimum60591
Maximum3396262.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:34.549116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60591
5-th percentile142437.3
Q1687129.8
median1038809
Q31488360
95-th percentile2758889.1
Maximum3396262.2
Range3335671.2
Interquartile range (IQR)801230.2

Descriptive statistics

Standard deviation832812.94
Coefficient of variation (CV)0.69798073
Kurtosis1.3747697
Mean1193174.7
Median Absolute Deviation (MAD)427705
Skewness1.1909801
Sum25056669
Variance6.935774 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:34.732012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
838219.0 1
 
4.8%
874889.3 1
 
4.8%
142437.3 1
 
4.8%
2229847.0 1
 
4.8%
1267787.0 1
 
4.8%
687129.8 1
 
4.8%
1679582.7 1
 
4.8%
2758889.1 1
 
4.8%
503216.0 1
 
4.8%
1040648.0 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
60591.0 1
4.8%
142437.3 1
4.8%
490500.2 1
4.8%
503216.0 1
4.8%
611104.0 1
4.8%
687129.8 1
4.8%
708147.0 1
4.8%
838219.0 1
4.8%
874889.3 1
4.8%
921213.0 1
4.8%
ValueCountFrequency (%)
3396262.2 1
4.8%
2758889.1 1
4.8%
2229847.0 1
4.8%
1984412.0 1
4.8%
1679582.7 1
4.8%
1488360.0 1
4.8%
1267787.0 1
4.8%
1171163.0 1
4.8%
1163462.0 1
4.8%
1040648.0 1
4.8%

임야 지번수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.19048
Minimum35
Maximum663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:34.874568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile61
Q1218
median257
Q3466
95-th percentile654
Maximum663
Range628
Interquartile range (IQR)248

Descriptive statistics

Standard deviation185.42023
Coefficient of variation (CV)0.56844158
Kurtosis-0.76626627
Mean326.19048
Median Absolute Deviation (MAD)145
Skewness0.35420315
Sum6850
Variance34380.662
MonotonicityNot monotonic
2024-03-18T13:52:34.985309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
254 1
 
4.8%
253 1
 
4.8%
35 1
 
4.8%
402 1
 
4.8%
566 1
 
4.8%
481 1
 
4.8%
663 1
 
4.8%
560 1
 
4.8%
110 1
 
4.8%
466 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
35 1
4.8%
61 1
4.8%
110 1
4.8%
143 1
4.8%
179 1
4.8%
218 1
4.8%
226 1
4.8%
253 1
4.8%
254 1
4.8%
256 1
4.8%
ValueCountFrequency (%)
663 1
4.8%
654 1
4.8%
566 1
4.8%
560 1
4.8%
481 1
4.8%
466 1
4.8%
404 1
4.8%
402 1
4.8%
337 1
4.8%
325 1
4.8%

광천 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-03-18T13:52:35.112654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:35.197533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

광천 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-03-18T13:52:35.291380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:35.372123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

염전 면적
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23239.429
Minimum0
Maximum181145
Zeros16
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:35.438814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile137112
Maximum181145
Range181145
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51158.715
Coefficient of variation (CV)2.2013758
Kurtosis4.5654009
Mean23239.429
Median Absolute Deviation (MAD)0
Skewness2.3027581
Sum488028
Variance2.6172141 × 109
MonotonicityNot monotonic
2024-03-18T13:52:35.529584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
76.2%
54350 1
 
4.8%
181145 1
 
4.8%
137112 1
 
4.8%
22656 1
 
4.8%
92765 1
 
4.8%
ValueCountFrequency (%)
0 16
76.2%
22656 1
 
4.8%
54350 1
 
4.8%
92765 1
 
4.8%
137112 1
 
4.8%
181145 1
 
4.8%
ValueCountFrequency (%)
181145 1
 
4.8%
137112 1
 
4.8%
92765 1
 
4.8%
54350 1
 
4.8%
22656 1
 
4.8%
0 16
76.2%

염전 지번수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4761905
Minimum0
Maximum20
Zeros16
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:35.619691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9043971
Coefficient of variation (CV)2.384468
Kurtosis4.1130133
Mean2.4761905
Median Absolute Deviation (MAD)0
Skewness2.3168804
Sum52
Variance34.861905
MonotonicityNot monotonic
2024-03-18T13:52:35.716127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
76.2%
15 1
 
4.8%
14 1
 
4.8%
1 1
 
4.8%
20 1
 
4.8%
2 1
 
4.8%
ValueCountFrequency (%)
0 16
76.2%
1 1
 
4.8%
2 1
 
4.8%
14 1
 
4.8%
15 1
 
4.8%
20 1
 
4.8%
ValueCountFrequency (%)
20 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
2 1
 
4.8%
1 1
 
4.8%
0 16
76.2%

대 면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1009073.3
Minimum19283.5
Maximum4092694.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:35.825286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19283.5
5-th percentile107007.8
Q1459721.1
median733471.1
Q31388379.2
95-th percentile2079611.6
Maximum4092694.5
Range4073411
Interquartile range (IQR)928658.1

Descriptive statistics

Standard deviation892369.73
Coefficient of variation (CV)0.88434582
Kurtosis6.5586008
Mean1009073.3
Median Absolute Deviation (MAD)481877.8
Skewness2.1594174
Sum21190539
Variance7.9632374 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:35.920878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
215623.5 1
 
4.8%
19283.5 1
 
4.8%
4092694.5 1
 
4.8%
768799.3 1
 
4.8%
1075257.1 1
 
4.8%
1495150.8 1
 
4.8%
459721.1 1
 
4.8%
386815.5 1
 
4.8%
1527981.1 1
 
4.8%
2079611.6 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
19283.5 1
4.8%
107007.8 1
4.8%
215623.5 1
4.8%
305843.7 1
4.8%
386815.5 1
4.8%
459721.1 1
4.8%
585384.1 1
4.8%
593724.6 1
4.8%
679319.3 1
4.8%
700655.3 1
4.8%
ValueCountFrequency (%)
4092694.5 1
4.8%
2079611.6 1
4.8%
1527981.1 1
4.8%
1495150.8 1
4.8%
1423684.4 1
4.8%
1388379.2 1
4.8%
1336782.4 1
4.8%
1215348.9 1
4.8%
1075257.1 1
4.8%
768799.3 1
4.8%

대 지번수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1205.8095
Minimum55
Maximum4217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:36.017651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile220
Q1625
median909
Q31309
95-th percentile2867
Maximum4217
Range4162
Interquartile range (IQR)684

Descriptive statistics

Standard deviation1011.5077
Coefficient of variation (CV)0.83886194
Kurtosis2.9180457
Mean1205.8095
Median Absolute Deviation (MAD)393
Skewness1.626571
Sum25322
Variance1023147.9
MonotonicityNot monotonic
2024-03-18T13:52:36.157687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
272 1
 
4.8%
55 1
 
4.8%
1959 1
 
4.8%
909 1
 
4.8%
1030 1
 
4.8%
1258 1
 
4.8%
723 1
 
4.8%
538 1
 
4.8%
784 1
 
4.8%
1309 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
55 1
4.8%
220 1
4.8%
241 1
4.8%
272 1
4.8%
538 1
4.8%
625 1
4.8%
714 1
4.8%
723 1
4.8%
784 1
4.8%
878 1
4.8%
ValueCountFrequency (%)
4217 1
4.8%
2867 1
4.8%
2673 1
4.8%
1959 1
4.8%
1568 1
4.8%
1309 1
4.8%
1302 1
4.8%
1258 1
4.8%
1180 1
4.8%
1030 1
4.8%

공장용지 면적
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500623.29
Minimum0
Maximum3282907.6
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:36.247599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11568.8
median127263
Q3774690.9
95-th percentile1932309.1
Maximum3282907.6
Range3282907.6
Interquartile range (IQR)773122.1

Descriptive statistics

Standard deviation823435.1
Coefficient of variation (CV)1.6448198
Kurtosis6.0900789
Mean500623.29
Median Absolute Deviation (MAD)127263
Skewness2.3722171
Sum10513089
Variance6.7804536 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:36.367026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 5
23.8%
127263.0 1
 
4.8%
774690.9 1
 
4.8%
108087.0 1
 
4.8%
409277.0 1
 
4.8%
1932309.1 1
 
4.8%
416885.9 1
 
4.8%
150592.2 1
 
4.8%
26102.0 1
 
4.8%
199993.0 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0.0 5
23.8%
1568.8 1
 
4.8%
2388.0 1
 
4.8%
26102.0 1
 
4.8%
38646.0 1
 
4.8%
108087.0 1
 
4.8%
127263.0 1
 
4.8%
150592.2 1
 
4.8%
199993.0 1
 
4.8%
409277.0 1
 
4.8%
ValueCountFrequency (%)
3282907.6 1
4.8%
1932309.1 1
4.8%
1372720.2 1
4.8%
846640.4 1
4.8%
823018.0 1
4.8%
774690.9 1
4.8%
416885.9 1
4.8%
409277.0 1
4.8%
199993.0 1
4.8%
150592.2 1
4.8%

공장용지 지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.7619
Minimum0
Maximum1834
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:36.555716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median83
Q3296
95-th percentile749
Maximum1834
Range1834
Interquartile range (IQR)289

Descriptive statistics

Standard deviation427.90255
Coefficient of variation (CV)1.7132419
Kurtosis9.4405643
Mean249.7619
Median Absolute Deviation (MAD)83
Skewness2.8557686
Sum5245
Variance183100.59
MonotonicityNot monotonic
2024-03-18T13:52:36.766843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
23.8%
83 1
 
4.8%
71 1
 
4.8%
91 1
 
4.8%
338 1
 
4.8%
749 1
 
4.8%
248 1
 
4.8%
134 1
 
4.8%
35 1
 
4.8%
87 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 5
23.8%
7 1
 
4.8%
11 1
 
4.8%
35 1
 
4.8%
50 1
 
4.8%
71 1
 
4.8%
83 1
 
4.8%
87 1
 
4.8%
91 1
 
4.8%
134 1
 
4.8%
ValueCountFrequency (%)
1834 1
4.8%
749 1
4.8%
630 1
4.8%
581 1
4.8%
338 1
4.8%
296 1
4.8%
248 1
4.8%
134 1
4.8%
91 1
4.8%
87 1
4.8%

학교용지 면적
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71666.9
Minimum0
Maximum357554.9
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:36.902132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112949.2
median37965
Q394611.6
95-th percentile168117.5
Maximum357554.9
Range357554.9
Interquartile range (IQR)81662.4

Descriptive statistics

Standard deviation83332.733
Coefficient of variation (CV)1.1627785
Kurtosis6.2287033
Mean71666.9
Median Absolute Deviation (MAD)37965
Skewness2.1928458
Sum1505004.9
Variance6.9443444 × 109
MonotonicityNot monotonic
2024-03-18T13:52:37.005377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
14.3%
37965.0 1
 
4.8%
357554.9 1
 
4.8%
62126.0 1
 
4.8%
11833.0 1
 
4.8%
27911.3 1
 
4.8%
12949.2 1
 
4.8%
121513.5 1
 
4.8%
140349.6 1
 
4.8%
88546.9 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0.0 3
14.3%
11833.0 1
 
4.8%
12515.4 1
 
4.8%
12949.2 1
 
4.8%
22486.3 1
 
4.8%
25417.0 1
 
4.8%
27911.3 1
 
4.8%
37737.2 1
 
4.8%
37965.0 1
 
4.8%
62009.3 1
 
4.8%
ValueCountFrequency (%)
357554.9 1
4.8%
168117.5 1
4.8%
141630.7 1
4.8%
140349.6 1
4.8%
121513.5 1
4.8%
94611.6 1
4.8%
88546.9 1
4.8%
79730.5 1
4.8%
62126.0 1
4.8%
62009.3 1
4.8%

학교용지 지번수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1428571
Minimum0
Maximum25
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:37.097913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q313
95-th percentile24
Maximum25
Range25
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.7219539
Coefficient of variation (CV)0.8445887
Kurtosis-0.47025912
Mean9.1428571
Median Absolute Deviation (MAD)6
Skewness0.6605712
Sum192
Variance59.628571
MonotonicityNot monotonic
2024-03-18T13:52:37.186912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 3
14.3%
5 2
 
9.5%
9 2
 
9.5%
13 2
 
9.5%
11 1
 
4.8%
3 1
 
4.8%
25 1
 
4.8%
15 1
 
4.8%
1 1
 
4.8%
4 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 3
14.3%
1 1
 
4.8%
2 1
 
4.8%
3 1
 
4.8%
4 1
 
4.8%
5 2
9.5%
6 1
 
4.8%
9 2
9.5%
10 1
 
4.8%
11 1
 
4.8%
ValueCountFrequency (%)
25 1
4.8%
24 1
4.8%
19 1
4.8%
18 1
4.8%
15 1
4.8%
13 2
9.5%
11 1
4.8%
10 1
4.8%
9 2
9.5%
6 1
4.8%

주차장 면적
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14603.09
Minimum0
Maximum102200.3
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:37.274334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12684.7
median7330
Q316310.1
95-th percentile48065.8
Maximum102200.3
Range102200.3
Interquartile range (IQR)13625.4

Descriptive statistics

Standard deviation23144.851
Coefficient of variation (CV)1.5849283
Kurtosis10.711936
Mean14603.09
Median Absolute Deviation (MAD)4668.8
Skewness3.0883042
Sum306664.9
Variance5.3568414 × 108
MonotonicityNot monotonic
2024-03-18T13:52:37.370526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 2
 
9.5%
11142.0 1
 
4.8%
8517.9 1
 
4.8%
102200.3 1
 
4.8%
2661.2 1
 
4.8%
2144.5 1
 
4.8%
48065.8 1
 
4.8%
7504.8 1
 
4.8%
27023.0 1
 
4.8%
17923.0 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0.0 2
9.5%
138.0 1
4.8%
2144.5 1
4.8%
2661.2 1
4.8%
2684.7 1
4.8%
3015.2 1
4.8%
3641.6 1
4.8%
6239.5 1
4.8%
6617.1 1
4.8%
7330.0 1
4.8%
ValueCountFrequency (%)
102200.3 1
4.8%
48065.8 1
4.8%
27023.0 1
4.8%
24726.8 1
4.8%
17923.0 1
4.8%
16310.1 1
4.8%
11142.0 1
4.8%
8779.4 1
4.8%
8517.9 1
4.8%
7504.8 1
4.8%

주차장 지번수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9
Minimum0
Maximum35
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:37.469773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q316
95-th percentile20
Maximum35
Range35
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.0498619
Coefficient of variation (CV)1.0055402
Kurtosis1.7745163
Mean9
Median Absolute Deviation (MAD)4
Skewness1.3608815
Sum189
Variance81.9
MonotonicityNot monotonic
2024-03-18T13:52:37.575692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 3
14.3%
3 2
9.5%
6 2
9.5%
18 2
9.5%
0 2
9.5%
2 2
9.5%
1 1
 
4.8%
5 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
0 2
9.5%
1 1
 
4.8%
2 2
9.5%
3 2
9.5%
4 3
14.3%
5 1
 
4.8%
6 2
9.5%
9 1
 
4.8%
14 1
 
4.8%
16 1
 
4.8%
ValueCountFrequency (%)
35 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 2
9.5%
16 1
 
4.8%
14 1
 
4.8%
9 1
 
4.8%
6 2
9.5%
5 1
 
4.8%
4 3
14.3%

주유소용지 면적
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9034.1476
Minimum0
Maximum48292.2
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:37.667826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12497.5
median4984.9
Q311027
95-th percentile32137
Maximum48292.2
Range48292.2
Interquartile range (IQR)8529.5

Descriptive statistics

Standard deviation11564.712
Coefficient of variation (CV)1.280111
Kurtosis6.6606451
Mean9034.1476
Median Absolute Deviation (MAD)3545.9
Skewness2.4790039
Sum189717.1
Variance1.3374256 × 108
MonotonicityNot monotonic
2024-03-18T13:52:37.755173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
14.3%
9572.0 1
 
4.8%
4455.4 1
 
4.8%
3260.0 1
 
4.8%
7312.0 1
 
4.8%
4791.0 1
 
4.8%
14364.0 1
 
4.8%
4984.9 1
 
4.8%
11027.0 1
 
4.8%
4536.1 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0.0 3
14.3%
1439.0 1
 
4.8%
1845.6 1
 
4.8%
2497.5 1
 
4.8%
3260.0 1
 
4.8%
4455.4 1
 
4.8%
4536.1 1
 
4.8%
4791.0 1
 
4.8%
4984.9 1
 
4.8%
5739.8 1
 
4.8%
ValueCountFrequency (%)
48292.2 1
4.8%
32137.0 1
4.8%
15338.0 1
4.8%
14364.0 1
4.8%
11039.2 1
4.8%
11027.0 1
4.8%
9572.0 1
4.8%
7312.0 1
4.8%
7086.4 1
4.8%
5739.8 1
4.8%

주유소용지 지번수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4761905
Minimum0
Maximum40
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:37.846160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q311
95-th percentile29
Maximum40
Range40
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.9379024
Coefficient of variation (CV)1.1724492
Kurtosis4.7495782
Mean8.4761905
Median Absolute Deviation (MAD)4
Skewness2.0959172
Sum178
Variance98.761905
MonotonicityNot monotonic
2024-03-18T13:52:37.939368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 3
14.3%
2 3
14.3%
3 3
14.3%
12 2
9.5%
9 2
9.5%
10 1
 
4.8%
29 1
 
4.8%
4 1
 
4.8%
11 1
 
4.8%
5 1
 
4.8%
Other values (3) 3
14.3%
ValueCountFrequency (%)
0 3
14.3%
2 3
14.3%
3 3
14.3%
4 1
 
4.8%
5 1
 
4.8%
6 1
 
4.8%
9 2
9.5%
10 1
 
4.8%
11 1
 
4.8%
12 2
9.5%
ValueCountFrequency (%)
40 1
4.8%
29 1
4.8%
16 1
4.8%
12 2
9.5%
11 1
4.8%
10 1
4.8%
9 2
9.5%
6 1
4.8%
5 1
4.8%
4 1
4.8%

창고용지 면적
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69041.462
Minimum0
Maximum577327.2
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:38.034360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1619
median7040
Q323776
95-th percentile510220.9
Maximum577327.2
Range577327.2
Interquartile range (IQR)23157

Descriptive statistics

Standard deviation161720.79
Coefficient of variation (CV)2.3423721
Kurtosis6.8509968
Mean69041.462
Median Absolute Deviation (MAD)7040
Skewness2.7861536
Sum1449870.7
Variance2.6153615 × 1010
MonotonicityNot monotonic
2024-03-18T13:52:38.132710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
14.3%
10654.0 1
 
4.8%
235.2 1
 
4.8%
7040.0 1
 
4.8%
22385.0 1
 
4.8%
577327.2 1
 
4.8%
17313.0 1
 
4.8%
11514.0 1
 
4.8%
5806.0 1
 
4.8%
23776.0 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0.0 3
14.3%
200.0 1
 
4.8%
235.2 1
 
4.8%
619.0 1
 
4.8%
763.7 1
 
4.8%
1198.0 1
 
4.8%
3405.0 1
 
4.8%
5806.0 1
 
4.8%
7040.0 1
 
4.8%
10654.0 1
 
4.8%
ValueCountFrequency (%)
577327.2 1
4.8%
510220.9 1
4.8%
122967.9 1
4.8%
110076.8 1
4.8%
24369.0 1
4.8%
23776.0 1
4.8%
22385.0 1
4.8%
17313.0 1
4.8%
11514.0 1
4.8%
10654.0 1
4.8%

창고용지 지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.952381
Minimum0
Maximum82
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:38.255394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q318
95-th percentile77
Maximum82
Range82
Interquartile range (IQR)17

Descriptive statistics

Standard deviation22.957518
Coefficient of variation (CV)1.439128
Kurtosis4.6221255
Mean15.952381
Median Absolute Deviation (MAD)7
Skewness2.255225
Sum335
Variance527.04762
MonotonicityNot monotonic
2024-03-18T13:52:38.356018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 3
14.3%
0 3
14.3%
12 1
 
4.8%
20 1
 
4.8%
14 1
 
4.8%
9 1
 
4.8%
82 1
 
4.8%
8 1
 
4.8%
13 1
 
4.8%
7 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 3
14.3%
1 3
14.3%
3 1
 
4.8%
5 1
 
4.8%
6 1
 
4.8%
7 1
 
4.8%
8 1
 
4.8%
9 1
 
4.8%
12 1
 
4.8%
13 1
 
4.8%
ValueCountFrequency (%)
82 1
4.8%
77 1
4.8%
34 1
4.8%
24 1
4.8%
20 1
4.8%
18 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%
9 1
4.8%

도로 면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean731808.99
Minimum104096.2
Maximum3890727.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:38.470422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104096.2
5-th percentile133005.6
Q1244185.7
median544291.5
Q3742468.5
95-th percentile1870438.3
Maximum3890727.3
Range3786631.1
Interquartile range (IQR)498282.8

Descriptive statistics

Standard deviation843040.47
Coefficient of variation (CV)1.1519952
Kurtosis10.143649
Mean731808.99
Median Absolute Deviation (MAD)300105.8
Skewness2.9518543
Sum15367989
Variance7.1071724 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:38.582437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
244185.7 1
 
4.8%
104096.2 1
 
4.8%
3890727.3 1
 
4.8%
263938.5 1
 
4.8%
622826.2 1
 
4.8%
1870438.3 1
 
4.8%
334532.0 1
 
4.8%
133005.6 1
 
4.8%
503911.2 1
 
4.8%
728618.7 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
104096.2 1
4.8%
133005.6 1
4.8%
170544.7 1
4.8%
221790.5 1
4.8%
238782.3 1
4.8%
244185.7 1
4.8%
263938.5 1
4.8%
323554.1 1
4.8%
334532.0 1
4.8%
503911.2 1
4.8%
ValueCountFrequency (%)
3890727.3 1
4.8%
1870438.3 1
4.8%
1372411.0 1
4.8%
897830.7 1
4.8%
878943.6 1
4.8%
742468.5 1
4.8%
728618.7 1
4.8%
717293.6 1
4.8%
622826.2 1
4.8%
563798.5 1
4.8%

도로 지번수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean513.2381
Minimum136
Maximum1009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:38.697691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136
5-th percentile151
Q1306
median543
Q3624
95-th percentile856
Maximum1009
Range873
Interquartile range (IQR)318

Descriptive statistics

Standard deviation251.21224
Coefficient of variation (CV)0.48946531
Kurtosis-0.80959903
Mean513.2381
Median Absolute Deviation (MAD)214
Skewness0.21131
Sum10778
Variance63107.59
MonotonicityNot monotonic
2024-03-18T13:52:39.128132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
411 1
 
4.8%
181 1
 
4.8%
599 1
 
4.8%
564 1
 
4.8%
1009 1
 
4.8%
824 1
 
4.8%
624 1
 
4.8%
460 1
 
4.8%
306 1
 
4.8%
571 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
136 1
4.8%
151 1
4.8%
181 1
4.8%
254 1
4.8%
274 1
4.8%
306 1
4.8%
340 1
4.8%
411 1
4.8%
456 1
4.8%
460 1
4.8%
ValueCountFrequency (%)
1009 1
4.8%
856 1
4.8%
840 1
4.8%
824 1
4.8%
757 1
4.8%
624 1
4.8%
622 1
4.8%
599 1
4.8%
571 1
4.8%
564 1
4.8%

철도용지 면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18164.195
Minimum0
Maximum166137.2
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:39.214680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24.4
Q36001
95-th percentile95987.1
Maximum166137.2
Range166137.2
Interquartile range (IQR)6001

Descriptive statistics

Standard deviation41219.786
Coefficient of variation (CV)2.2692878
Kurtosis8.6201393
Mean18164.195
Median Absolute Deviation (MAD)24.4
Skewness2.8823478
Sum381448.1
Variance1.6990708 × 109
MonotonicityNot monotonic
2024-03-18T13:52:39.306160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 10
47.6%
6001.0 1
 
4.8%
33515.0 1
 
4.8%
166137.2 1
 
4.8%
46877.4 1
 
4.8%
1689.0 1
 
4.8%
482.6 1
 
4.8%
449.4 1
 
4.8%
24.4 1
 
4.8%
26898.0 1
 
4.8%
Other values (2) 2
 
9.5%
ValueCountFrequency (%)
0.0 10
47.6%
24.4 1
 
4.8%
449.4 1
 
4.8%
482.6 1
 
4.8%
1689.0 1
 
4.8%
3387.0 1
 
4.8%
6001.0 1
 
4.8%
26898.0 1
 
4.8%
33515.0 1
 
4.8%
46877.4 1
 
4.8%
ValueCountFrequency (%)
166137.2 1
4.8%
95987.1 1
4.8%
46877.4 1
4.8%
33515.0 1
4.8%
26898.0 1
4.8%
6001.0 1
4.8%
3387.0 1
4.8%
1689.0 1
4.8%
482.6 1
4.8%
449.4 1
4.8%

철도용지 지번수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.285714
Minimum0
Maximum399
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:39.396050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q322
95-th percentile81
Maximum399
Range399
Interquartile range (IQR)22

Descriptive statistics

Standard deviation86.900025
Coefficient of variation (CV)2.7776264
Kurtosis18.167002
Mean31.285714
Median Absolute Deviation (MAD)1
Skewness4.1654139
Sum657
Variance7551.6143
MonotonicityNot monotonic
2024-03-18T13:52:39.499582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 10
47.6%
13 2
 
9.5%
28 1
 
4.8%
49 1
 
4.8%
399 1
 
4.8%
81 1
 
4.8%
2 1
 
4.8%
7 1
 
4.8%
1 1
 
4.8%
42 1
 
4.8%
ValueCountFrequency (%)
0 10
47.6%
1 1
 
4.8%
2 1
 
4.8%
7 1
 
4.8%
13 2
 
9.5%
22 1
 
4.8%
28 1
 
4.8%
42 1
 
4.8%
49 1
 
4.8%
81 1
 
4.8%
ValueCountFrequency (%)
399 1
4.8%
81 1
4.8%
49 1
4.8%
42 1
4.8%
28 1
4.8%
22 1
4.8%
13 2
9.5%
7 1
4.8%
2 1
4.8%
1 1
4.8%

제방 면적
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33875.4
Minimum0
Maximum235787.4
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:39.627684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1350
median7303.3
Q327990
95-th percentile193740
Maximum235787.4
Range235787.4
Interquartile range (IQR)27640

Descriptive statistics

Standard deviation63432.217
Coefficient of variation (CV)1.8725157
Kurtosis6.209793
Mean33875.4
Median Absolute Deviation (MAD)7303.3
Skewness2.5959726
Sum711383.4
Variance4.0236462 × 109
MonotonicityNot monotonic
2024-03-18T13:52:39.741080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
14.3%
20432.0 1
 
4.8%
193740.0 1
 
4.8%
70125.3 1
 
4.8%
19487.9 1
 
4.8%
235787.4 1
 
4.8%
1237.0 1
 
4.8%
7303.3 1
 
4.8%
350.0 1
 
4.8%
4944.0 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0.0 3
14.3%
260.0 1
 
4.8%
262.0 1
 
4.8%
350.0 1
 
4.8%
881.0 1
 
4.8%
1237.0 1
 
4.8%
4944.0 1
 
4.8%
6523.1 1
 
4.8%
7303.3 1
 
4.8%
9012.6 1
 
4.8%
ValueCountFrequency (%)
235787.4 1
4.8%
193740.0 1
4.8%
70125.3 1
4.8%
55490.8 1
4.8%
29882.0 1
4.8%
27990.0 1
4.8%
27675.0 1
4.8%
20432.0 1
4.8%
19487.9 1
4.8%
9012.6 1
4.8%

제방 지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.857143
Minimum0
Maximum345
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:39.830969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19
Q341
95-th percentile102
Maximum345
Range345
Interquartile range (IQR)39

Descriptive statistics

Standard deviation74.920148
Coefficient of variation (CV)1.879717
Kurtosis15.151767
Mean39.857143
Median Absolute Deviation (MAD)18
Skewness3.7010599
Sum837
Variance5613.0286
MonotonicityNot monotonic
2024-03-18T13:52:39.924266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 3
14.3%
4 2
 
9.5%
1 2
 
9.5%
30 1
 
4.8%
11 1
 
4.8%
24 1
 
4.8%
19 1
 
4.8%
58 1
 
4.8%
2 1
 
4.8%
31 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 3
14.3%
1 2
9.5%
2 1
 
4.8%
4 2
9.5%
11 1
 
4.8%
13 1
 
4.8%
19 1
 
4.8%
24 1
 
4.8%
30 1
 
4.8%
31 1
 
4.8%
ValueCountFrequency (%)
345 1
4.8%
102 1
4.8%
65 1
4.8%
58 1
4.8%
50 1
4.8%
41 1
4.8%
36 1
4.8%
31 1
4.8%
30 1
4.8%
24 1
4.8%

하천 면적
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136277.8
Minimum0
Maximum1099620.2
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:40.020139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median31927
Q359297.2
95-th percentile895502.8
Maximum1099620.2
Range1099620.2
Interquartile range (IQR)59273.2

Descriptive statistics

Standard deviation298256.23
Coefficient of variation (CV)2.18859
Kurtosis6.7289631
Mean136277.8
Median Absolute Deviation (MAD)31903
Skewness2.741956
Sum2861833.8
Variance8.8956781 × 1010
MonotonicityNot monotonic
2024-03-18T13:52:40.114929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 4
19.0%
21652.0 1
 
4.8%
44277.5 1
 
4.8%
895502.8 1
 
4.8%
11925.0 1
 
4.8%
1099620.2 1
 
4.8%
11383.7 1
 
4.8%
43272.6 1
 
4.8%
59135.3 1
 
4.8%
72771.6 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0.0 4
19.0%
7.0 1
 
4.8%
24.0 1
 
4.8%
11383.7 1
 
4.8%
11925.0 1
 
4.8%
19651.9 1
 
4.8%
21652.0 1
 
4.8%
31927.0 1
 
4.8%
43272.6 1
 
4.8%
44277.5 1
 
4.8%
ValueCountFrequency (%)
1099620.2 1
4.8%
895502.8 1
4.8%
362447.0 1
4.8%
72771.6 1
4.8%
70862.0 1
4.8%
59297.2 1
4.8%
59135.3 1
4.8%
58077.0 1
4.8%
44277.5 1
4.8%
43272.6 1
4.8%

하천 지번수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.52381
Minimum0
Maximum473
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:40.218974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20
Q342
95-th percentile91
Maximum473
Range473
Interquartile range (IQR)40

Descriptive statistics

Standard deviation101.93852
Coefficient of variation (CV)2.2392353
Kurtosis17.406494
Mean45.52381
Median Absolute Deviation (MAD)20
Skewness4.0398435
Sum956
Variance10391.462
MonotonicityNot monotonic
2024-03-18T13:52:40.320847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4
19.0%
20 3
14.3%
2 2
 
9.5%
473 1
 
4.8%
52 1
 
4.8%
42 1
 
4.8%
90 1
 
4.8%
91 1
 
4.8%
40 1
 
4.8%
3 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 4
19.0%
1 1
 
4.8%
2 2
9.5%
3 1
 
4.8%
4 1
 
4.8%
19 1
 
4.8%
20 3
14.3%
21 1
 
4.8%
40 1
 
4.8%
42 1
 
4.8%
ValueCountFrequency (%)
473 1
 
4.8%
91 1
 
4.8%
90 1
 
4.8%
56 1
 
4.8%
52 1
 
4.8%
42 1
 
4.8%
40 1
 
4.8%
21 1
 
4.8%
20 3
14.3%
19 1
 
4.8%

구거 면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57414.638
Minimum6607
Maximum214772.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:40.407377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6607
5-th percentile7475
Q122783.7
median33999.3
Q377611
95-th percentile145558.7
Maximum214772.9
Range208165.9
Interquartile range (IQR)54827.3

Descriptive statistics

Standard deviation54005.139
Coefficient of variation (CV)0.94061621
Kurtosis2.5177627
Mean57414.638
Median Absolute Deviation (MAD)25539.9
Skewness1.6221277
Sum1205707.4
Variance2.9165551 × 109
MonotonicityNot monotonic
2024-03-18T13:52:40.498210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
77611.0 1
 
4.8%
33999.3 1
 
4.8%
145558.7 1
 
4.8%
143096.0 1
 
4.8%
23467.2 1
 
4.8%
92672.3 1
 
4.8%
59539.2 1
 
4.8%
214772.9 1
 
4.8%
21582.3 1
 
4.8%
49476.8 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
6607.0 1
4.8%
7475.0 1
4.8%
8285.7 1
4.8%
11050.3 1
4.8%
21582.3 1
4.8%
22783.7 1
4.8%
23467.2 1
4.8%
32565.0 1
4.8%
32851.6 1
4.8%
33876.9 1
4.8%
ValueCountFrequency (%)
214772.9 1
4.8%
145558.7 1
4.8%
143096.0 1
4.8%
92672.3 1
4.8%
85959.5 1
4.8%
77611.0 1
4.8%
62456.0 1
4.8%
59539.2 1
4.8%
49476.8 1
4.8%
40021.0 1
4.8%

구거 지번수
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.238095
Minimum13
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:40.582528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile15
Q126
median62
Q3126
95-th percentile262
Maximum266
Range253
Interquartile range (IQR)100

Descriptive statistics

Standard deviation77.014223
Coefficient of variation (CV)0.87280015
Kurtosis0.76672063
Mean88.238095
Median Absolute Deviation (MAD)40
Skewness1.2471589
Sum1853
Variance5931.1905
MonotonicityNot monotonic
2024-03-18T13:52:40.669441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
26 2
 
9.5%
146 1
 
4.8%
196 1
 
4.8%
126 1
 
4.8%
266 1
 
4.8%
51 1
 
4.8%
151 1
 
4.8%
82 1
 
4.8%
262 1
 
4.8%
62 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
13 1
4.8%
15 1
4.8%
17 1
4.8%
22 1
4.8%
26 2
9.5%
28 1
4.8%
51 1
4.8%
58 1
4.8%
61 1
4.8%
62 1
4.8%
ValueCountFrequency (%)
266 1
4.8%
262 1
4.8%
196 1
4.8%
151 1
4.8%
146 1
4.8%
126 1
4.8%
103 1
4.8%
82 1
4.8%
77 1
4.8%
65 1
4.8%

유지 면적
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54529.438
Minimum0
Maximum405088.9
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:40.788515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1328
median24639
Q363423
95-th percentile150087.1
Maximum405088.9
Range405088.9
Interquartile range (IQR)63095

Descriptive statistics

Standard deviation93397.758
Coefficient of variation (CV)1.7127952
Kurtosis10.109809
Mean54529.438
Median Absolute Deviation (MAD)24468
Skewness2.9319102
Sum1145118.2
Variance8.7231411 × 109
MonotonicityNot monotonic
2024-03-18T13:52:40.937877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 3
 
14.3%
171.0 2
 
9.5%
34537.0 1
 
4.8%
39046.0 1
 
4.8%
150087.1 1
 
4.8%
367.0 1
 
4.8%
1731.0 1
 
4.8%
405088.9 1
 
4.8%
24639.0 1
 
4.8%
2347.0 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0.0 3
14.3%
171.0 2
9.5%
328.0 1
 
4.8%
367.0 1
 
4.8%
1731.0 1
 
4.8%
2347.0 1
 
4.8%
4724.0 1
 
4.8%
24639.0 1
 
4.8%
26631.0 1
 
4.8%
34537.0 1
 
4.8%
ValueCountFrequency (%)
405088.9 1
4.8%
150087.1 1
4.8%
145108.0 1
4.8%
97124.0 1
4.8%
90864.2 1
4.8%
63423.0 1
4.8%
58731.0 1
4.8%
39046.0 1
4.8%
34537.0 1
4.8%
26631.0 1
4.8%

유지 지번수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6666667
Minimum0
Maximum53
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:41.103118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile30
Maximum53
Range53
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.602696
Coefficient of variation (CV)1.4071754
Kurtosis4.2173904
Mean9.6666667
Median Absolute Deviation (MAD)3
Skewness2.0349271
Sum203
Variance185.03333
MonotonicityNot monotonic
2024-03-18T13:52:41.305153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 3
14.3%
0 3
14.3%
1 3
14.3%
2 2
9.5%
26 1
 
4.8%
12 1
 
4.8%
14 1
 
4.8%
53 1
 
4.8%
27 1
 
4.8%
9 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
0 3
14.3%
1 3
14.3%
2 2
9.5%
3 3
14.3%
4 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
9 1
 
4.8%
12 1
 
4.8%
14 1
 
4.8%
ValueCountFrequency (%)
53 1
4.8%
30 1
4.8%
27 1
4.8%
26 1
4.8%
14 1
4.8%
12 1
4.8%
9 1
4.8%
7 1
4.8%
5 1
4.8%
4 1
4.8%

양어장 면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
19 
1012
 
1
659
 
1

Length

Max length4
Median length1
Mean length1.2380952
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
90.5%
1012 1
 
4.8%
659 1
 
4.8%

Length

2024-03-18T13:52:41.425489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:41.538770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
90.5%
1012 1
 
4.8%
659 1
 
4.8%

양어장 지번수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
19 
1

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 19
90.5%
1 2
 
9.5%

Length

2024-03-18T13:52:41.631320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:41.720691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
90.5%
1 2
 
9.5%

수도용지 면적
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13030.371
Minimum0
Maximum157773
Zeros15
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:41.808478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3186.1
95-th percentile44540
Maximum157773
Range157773
Interquartile range (IQR)186.1

Descriptive statistics

Standard deviation35461.135
Coefficient of variation (CV)2.7214217
Kurtosis15.30763
Mean13030.371
Median Absolute Deviation (MAD)0
Skewness3.7635364
Sum273637.8
Variance1.2574921 × 109
MonotonicityNot monotonic
2024-03-18T13:52:41.902263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 15
71.4%
186.1 1
 
4.8%
157773.0 1
 
4.8%
44540.0 1
 
4.8%
32155.0 1
 
4.8%
24260.0 1
 
4.8%
14723.7 1
 
4.8%
ValueCountFrequency (%)
0.0 15
71.4%
186.1 1
 
4.8%
14723.7 1
 
4.8%
24260.0 1
 
4.8%
32155.0 1
 
4.8%
44540.0 1
 
4.8%
157773.0 1
 
4.8%
ValueCountFrequency (%)
157773.0 1
 
4.8%
44540.0 1
 
4.8%
32155.0 1
 
4.8%
24260.0 1
 
4.8%
14723.7 1
 
4.8%
186.1 1
 
4.8%
0.0 15
71.4%
Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
15 
1
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 15
71.4%
1 3
 
14.3%
2 2
 
9.5%
5 1
 
4.8%

Length

2024-03-18T13:52:41.999438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:42.087814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
71.4%
1 3
 
14.3%
2 2
 
9.5%
5 1
 
4.8%

공원 면적
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268818.9
Minimum0
Maximum3221943.4
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:42.183989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124520.3
median71086
Q3223738.9
95-th percentile421949.7
Maximum3221943.4
Range3221943.4
Interquartile range (IQR)199218.6

Descriptive statistics

Standard deviation688471.06
Coefficient of variation (CV)2.5610962
Kurtosis19.369122
Mean268818.9
Median Absolute Deviation (MAD)68821
Skewness4.3327251
Sum5645196.9
Variance4.739924 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:42.288564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 2
 
9.5%
2265.0 1
 
4.8%
176578.8 1
 
4.8%
3221943.4 1
 
4.8%
25886.4 1
 
4.8%
55163.7 1
 
4.8%
421949.7 1
 
4.8%
25434.5 1
 
4.8%
347550.6 1
 
4.8%
317142.8 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0.0 2
9.5%
2265.0 1
4.8%
4082.6 1
4.8%
14241.3 1
4.8%
24520.3 1
4.8%
25434.5 1
4.8%
25886.4 1
4.8%
50180.9 1
4.8%
55163.7 1
4.8%
71086.0 1
4.8%
ValueCountFrequency (%)
3221943.4 1
4.8%
421949.7 1
4.8%
347550.6 1
4.8%
317142.8 1
4.8%
238709.5 1
4.8%
223738.9 1
4.8%
199608.8 1
4.8%
176578.8 1
4.8%
133668.6 1
4.8%
91445.1 1
4.8%

공원 지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.809524
Minimum0
Maximum315
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:42.394687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median25
Q362
95-th percentile77
Maximum315
Range315
Interquartile range (IQR)51

Descriptive statistics

Standard deviation67.30202
Coefficient of variation (CV)1.5019579
Kurtosis14.111139
Mean44.809524
Median Absolute Deviation (MAD)19
Skewness3.4995117
Sum941
Variance4529.5619
MonotonicityNot monotonic
2024-03-18T13:52:42.484653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
18 2
 
9.5%
77 2
 
9.5%
11 2
 
9.5%
0 2
 
9.5%
8 1
 
4.8%
315 1
 
4.8%
25 1
 
4.8%
65 1
 
4.8%
62 1
 
4.8%
61 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 2
9.5%
2 1
4.8%
6 1
4.8%
8 1
4.8%
11 2
9.5%
17 1
4.8%
18 2
9.5%
25 1
4.8%
30 1
4.8%
34 1
4.8%
ValueCountFrequency (%)
315 1
4.8%
77 2
9.5%
68 1
4.8%
65 1
4.8%
62 1
4.8%
61 1
4.8%
36 1
4.8%
34 1
4.8%
30 1
4.8%
25 1
4.8%

체육용지 면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152122.44
Minimum0
Maximum1377652.5
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:42.608092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median37
Q337472
95-th percentile568548.1
Maximum1377652.5
Range1377652.5
Interquartile range (IQR)37472

Descriptive statistics

Standard deviation338078.59
Coefficient of variation (CV)2.2224111
Kurtosis8.5265931
Mean152122.44
Median Absolute Deviation (MAD)37
Skewness2.7961709
Sum3194571.2
Variance1.1429713 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:42.716935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 10
47.6%
9878.0 1
 
4.8%
4952.0 1
 
4.8%
150094.0 1
 
4.8%
527190.0 1
 
4.8%
568548.1 1
 
4.8%
37472.0 1
 
4.8%
5965.0 1
 
4.8%
498510.0 1
 
4.8%
14272.6 1
 
4.8%
Other values (2) 2
 
9.5%
ValueCountFrequency (%)
0.0 10
47.6%
37.0 1
 
4.8%
4952.0 1
 
4.8%
5965.0 1
 
4.8%
9878.0 1
 
4.8%
14272.6 1
 
4.8%
37472.0 1
 
4.8%
150094.0 1
 
4.8%
498510.0 1
 
4.8%
527190.0 1
 
4.8%
ValueCountFrequency (%)
1377652.5 1
4.8%
568548.1 1
4.8%
527190.0 1
4.8%
498510.0 1
4.8%
150094.0 1
4.8%
37472.0 1
4.8%
14272.6 1
4.8%
9878.0 1
4.8%
5965.0 1
4.8%
4952.0 1
4.8%

체육용지 지번수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4761905
Minimum0
Maximum61
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:42.819903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile11
Maximum61
Range61
Interquartile range (IQR)2

Descriptive statistics

Standard deviation13.242428
Coefficient of variation (CV)2.9584148
Kurtosis18.925853
Mean4.4761905
Median Absolute Deviation (MAD)1
Skewness4.2784575
Sum94
Variance175.3619
MonotonicityNot monotonic
2024-03-18T13:52:42.935899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 10
47.6%
1 4
 
19.0%
2 2
 
9.5%
11 1
 
4.8%
61 1
 
4.8%
3 1
 
4.8%
7 1
 
4.8%
4 1
 
4.8%
ValueCountFrequency (%)
0 10
47.6%
1 4
 
19.0%
2 2
 
9.5%
3 1
 
4.8%
4 1
 
4.8%
7 1
 
4.8%
11 1
 
4.8%
61 1
 
4.8%
ValueCountFrequency (%)
61 1
 
4.8%
11 1
 
4.8%
7 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
2 2
 
9.5%
1 4
 
19.0%
0 10
47.6%

유원지 면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
20 
3220
 
1

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row3220
5th row0

Common Values

ValueCountFrequency (%)
0 20
95.2%
3220 1
 
4.8%

Length

2024-03-18T13:52:43.147855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:43.321523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
95.2%
3220 1
 
4.8%

유원지 지번수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
20 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 20
95.2%
1 1
 
4.8%

Length

2024-03-18T13:52:43.431100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:43.521328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
95.2%
1 1
 
4.8%

종교용지 면적
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8627.4476
Minimum0
Maximum27237.9
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:43.606127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12933.7
median7382.5
Q310072
95-th percentile23849.2
Maximum27237.9
Range27237.9
Interquartile range (IQR)7138.3

Descriptive statistics

Standard deviation8363.8864
Coefficient of variation (CV)0.96945084
Kurtosis0.078459076
Mean8627.4476
Median Absolute Deviation (MAD)4448.8
Skewness1.0629144
Sum181176.4
Variance69954595
MonotonicityNot monotonic
2024-03-18T13:52:43.704262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 2
 
9.5%
10072.0 1
 
4.8%
4357.5 1
 
4.8%
20822.5 1
 
4.8%
23849.2 1
 
4.8%
3277.1 1
 
4.8%
1262.1 1
 
4.8%
4137.0 1
 
4.8%
9945.0 1
 
4.8%
27237.9 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0.0 2
9.5%
188.0 1
4.8%
1262.1 1
4.8%
1469.3 1
4.8%
2933.7 1
4.8%
2995.0 1
4.8%
3277.1 1
4.8%
4137.0 1
4.8%
4357.5 1
4.8%
7382.5 1
4.8%
ValueCountFrequency (%)
27237.9 1
4.8%
23849.2 1
4.8%
22647.6 1
4.8%
20822.5 1
4.8%
12143.1 1
4.8%
10072.0 1
4.8%
9945.0 1
4.8%
9685.3 1
4.8%
8536.8 1
4.8%
8234.8 1
4.8%

종교용지 지번수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.952381
Minimum0
Maximum25
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:43.796489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q311
95-th percentile24
Maximum25
Range25
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.9087053
Coefficient of variation (CV)0.99450785
Kurtosis0.029771943
Mean7.952381
Median Absolute Deviation (MAD)4
Skewness1.0051977
Sum167
Variance62.547619
MonotonicityNot monotonic
2024-03-18T13:52:43.886031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 4
19.0%
2 2
9.5%
0 2
9.5%
5 2
9.5%
10 2
9.5%
9 1
 
4.8%
12 1
 
4.8%
16 1
 
4.8%
11 1
 
4.8%
24 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
0 2
9.5%
1 4
19.0%
2 2
9.5%
3 1
 
4.8%
5 2
9.5%
8 1
 
4.8%
9 1
 
4.8%
10 2
9.5%
11 1
 
4.8%
12 1
 
4.8%
ValueCountFrequency (%)
25 1
4.8%
24 1
4.8%
21 1
4.8%
16 1
4.8%
12 1
4.8%
11 1
4.8%
10 2
9.5%
9 1
4.8%
8 1
4.8%
5 2
9.5%

사적지 면적
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-03-18T13:52:43.985407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:44.065322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

사적지 지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

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 21
100.0%

Length

2024-03-18T13:52:44.140432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:52:44.220984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

묘지 면적
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17187.619
Minimum0
Maximum165090
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:44.295015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q158
median727
Q314001
95-th percentile86256
Maximum165090
Range165090
Interquartile range (IQR)13943

Descriptive statistics

Standard deviation39157.943
Coefficient of variation (CV)2.2782646
Kurtosis10.922918
Mean17187.619
Median Absolute Deviation (MAD)727
Skewness3.2276904
Sum360940
Variance1.5333445 × 109
MonotonicityNot monotonic
2024-03-18T13:52:44.393864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
23.8%
347 1
 
4.8%
165090 1
 
4.8%
11947 1
 
4.8%
32418 1
 
4.8%
6406 1
 
4.8%
22255 1
 
4.8%
14001 1
 
4.8%
672 1
 
4.8%
86256 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 5
23.8%
58 1
 
4.8%
337 1
 
4.8%
347 1
 
4.8%
542 1
 
4.8%
672 1
 
4.8%
727 1
 
4.8%
1970 1
 
4.8%
2479 1
 
4.8%
6406 1
 
4.8%
ValueCountFrequency (%)
165090 1
4.8%
86256 1
4.8%
32418 1
4.8%
22255 1
4.8%
15435 1
4.8%
14001 1
4.8%
11947 1
4.8%
6406 1
4.8%
2479 1
4.8%
1970 1
4.8%

묘지 지번수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.952381
Minimum0
Maximum60
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:44.477774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q38
95-th percentile22
Maximum60
Range60
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.477671
Coefficient of variation (CV)1.9385691
Kurtosis12.855405
Mean6.952381
Median Absolute Deviation (MAD)2
Skewness3.3910207
Sum146
Variance181.64762
MonotonicityNot monotonic
2024-03-18T13:52:44.569172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 5
23.8%
1 4
19.0%
2 4
19.0%
5 1
 
4.8%
3 1
 
4.8%
15 1
 
4.8%
60 1
 
4.8%
10 1
 
4.8%
11 1
 
4.8%
8 1
 
4.8%
ValueCountFrequency (%)
0 5
23.8%
1 4
19.0%
2 4
19.0%
3 1
 
4.8%
5 1
 
4.8%
8 1
 
4.8%
10 1
 
4.8%
11 1
 
4.8%
15 1
 
4.8%
22 1
 
4.8%
ValueCountFrequency (%)
60 1
 
4.8%
22 1
 
4.8%
15 1
 
4.8%
11 1
 
4.8%
10 1
 
4.8%
8 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%
2 4
19.0%
1 4
19.0%

잡종지 면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean588456.8
Minimum2862
Maximum3497625.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:44.688048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2862
5-th percentile6113
Q155010
median150997.5
Q3593437.6
95-th percentile3209394.3
Maximum3497625.8
Range3494763.8
Interquartile range (IQR)538427.6

Descriptive statistics

Standard deviation998495.33
Coefficient of variation (CV)1.6968031
Kurtosis4.7087321
Mean588456.8
Median Absolute Deviation (MAD)142117.5
Skewness2.3307947
Sum12357593
Variance9.9699292 × 1011
MonotonicityNot monotonic
2024-03-18T13:52:45.026714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
370530.5 1
 
4.8%
6113.0 1
 
4.8%
3209394.3 1
 
4.8%
239796.0 1
 
4.8%
683701.3 1
 
4.8%
1628114.3 1
 
4.8%
421063.7 1
 
4.8%
150997.5 1
 
4.8%
25611.7 1
 
4.8%
123779.4 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
2862.0 1
4.8%
6113.0 1
4.8%
8880.0 1
4.8%
19123.4 1
4.8%
25611.7 1
4.8%
55010.0 1
4.8%
64365.1 1
4.8%
77182.1 1
4.8%
123779.4 1
4.8%
137951.1 1
4.8%
ValueCountFrequency (%)
3497625.8 1
4.8%
3209394.3 1
4.8%
1628114.3 1
4.8%
853702.6 1
4.8%
683701.3 1
4.8%
593437.6 1
4.8%
421063.7 1
4.8%
370530.5 1
4.8%
239796.0 1
4.8%
188351.5 1
4.8%

잡종지 지번수
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.80952
Minimum4
Maximum536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-18T13:52:45.134886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q128
median86
Q3193
95-th percentile273
Maximum536
Range532
Interquartile range (IQR)165

Descriptive statistics

Standard deviation126.25435
Coefficient of variation (CV)0.95785456
Kurtosis4.0789351
Mean131.80952
Median Absolute Deviation (MAD)74
Skewness1.7040995
Sum2768
Variance15940.162
MonotonicityNot monotonic
2024-03-18T13:52:45.240835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
63 2
 
9.5%
201 1
 
4.8%
193 1
 
4.8%
113 1
 
4.8%
160 1
 
4.8%
235 1
 
4.8%
273 1
 
4.8%
177 1
 
4.8%
26 1
 
4.8%
76 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
4 1
4.8%
5 1
4.8%
25 1
4.8%
26 1
4.8%
27 1
4.8%
28 1
4.8%
53 1
4.8%
63 2
9.5%
76 1
4.8%
86 1
4.8%
ValueCountFrequency (%)
536 1
4.8%
273 1
4.8%
248 1
4.8%
235 1
4.8%
201 1
4.8%
193 1
4.8%
177 1
4.8%
176 1
4.8%
160 1
4.8%
113 1
4.8%

Sample

토지소재지전 면적전 지번수답 면적답 지번수과수원 면적과수원 지번수목장용지 면적목장용지 지번수임야 면적임야 지번수광천 면적광천 지번수염전 면적염전 지번수대 면적대 지번수공장용지 면적공장용지 지번수학교용지 면적학교용지 지번수주차장 면적주차장 지번수주유소용지 면적주유소용지 지번수창고용지 면적창고용지 지번수도로 면적도로 지번수철도용지 면적철도용지 지번수제방 면적제방 지번수하천 면적하천 지번수구거 면적구거 지번수유지 면적유지 지번수양어장 면적양어장 지번수수도용지 면적수도용지 지번수공원 면적공원 지번수체육용지 면적체육용지 지번수유원지 면적유원지 지번수종교용지 면적종교용지 지번수사적지 면적사적지 지번수묘지 면적묘지 지번수잡종지 면적잡종지 지번수
010100-백석동323992.0380232022.0297249221600838219.0254005435015215623.5272127263.08337965.01111142.039572.01010654.012244185.74116001.02820432.03021652.02077611.014634537.026000.002265.089878.010010072.02003471370530.5201
110200-시천동189705.7223178664.62699194819892874889.3253000019283.5550.000.00138.010.000.00104096.218133515.049193740.0345362447.047333999.361171.03000.000.004952.0200188.0100197016113.05
210300-검암동504035.6474419482.837693434001038809.02560018114514700655.311800.0079730.568779.460.001198.06742468.5456166137.239929882.05070862.05232851.66563423.012000.0050180.934150094.011008234.890015435577182.186
310400-경서동598293.0475385725.0458474791200611104.0325001371121585384.1625823018.029612515.4224726.81832137.02924369.018563798.527446877.48127990.06531927.04232565.01590864.21400186.1171086.017527190.061322011469.3100581188351.5176
410500-공촌동375109.8361172805.114726911153043396262.24040000107007.82200.0025417.050.001845.64200.01170544.71510.006523.14158077.09033876.958328.0200157773.014082.620.00000.00000019123.425
510600-연희동197619.8202496410.050110095600490500.21790000305843.77140.0037737.292684.747086.4110.00323554.12541689.01327675.010259297.29122783.72697124.053000.0014241.36568548.13002995.010000137951.153
610700-심곡동79062.06915296.0250000921213.01430000733471.18780.0022486.353641.632497.52619.03221790.51360.00260.0419651.9406607.013171.030044540.0524520.31137472.02000.0000002862.04
710800-가정동220311.030465976.08300001488360.033700001388379.228671568.81162009.396617.1411039.212763.71717293.66220.00881.0124.0340021.0770.00000.00238709.5685965.01008536.81200727255010.028
810900-신현동11690.07028323.082000060591.0610000593724.613022388.0794611.6133015.251439.020.00238782.35430.00262.010.007475.0220.00000.0091445.1300.00007382.51600008880.027
911000-석남동37888.0763710.02000001163462.025700001215348.94217846640.4630141630.7246239.52015338.012110076.834897830.78560.009012.6130.008285.72826631.0270032155.01223738.9360.00009685.311005422593437.6248
토지소재지전 면적전 지번수답 면적답 지번수과수원 면적과수원 지번수목장용지 면적목장용지 지번수임야 면적임야 지번수광천 면적광천 지번수염전 면적염전 지번수대 면적대 지번수공장용지 면적공장용지 지번수학교용지 면적학교용지 지번수주차장 면적주차장 지번수주유소용지 면적주유소용지 지번수창고용지 면적창고용지 지번수도로 면적도로 지번수철도용지 면적철도용지 지번수제방 면적제방 지번수하천 면적하천 지번수구거 면적구거 지번수유지 면적유지 지번수양어장 면적양어장 지번수수도용지 면적수도용지 지번수공원 면적공원 지번수체육용지 면적체육용지 지번수유원지 면적유원지 지번수종교용지 면적종교용지 지번수사적지 면적사적지 지번수묘지 면적묘지 지번수잡종지 면적잡종지 지번수
1111200-가좌동73463.012527725.0360051511171163.022600001336782.426733282907.61834168117.5188517.91948292.240122967.9241372411.0840482.624944.0117.0185959.526145108.090024260.02176578.86114272.610022647.624003373853702.6193
1211300-마전동293216.0401272936.04201748613246711984412.065400001423684.4156838646.05088546.91016310.194536.133405.05544291.5757449.47350.0444277.55662456.01964724.011012114723.72133668.6620.00004357.5500862561564365.163
1311400-당하동182913.0261146067.0233618631282071040648.046600002079611.61309199993.087140349.61317923.01411027.0923776.020728618.757124.410.0072771.6449476.810339046.07000.00317142.87737.010012143.1210016509060123779.476
1411500-원당동67664.09668041.0139116514106071503216.011000001527981.178426102.035121513.51927023.0164984.925806.07503911.23060.000.0059135.3221582.3620.00000.00347550.6650.000027237.92500672225611.726
1511700-대곡동582393.7676851490.27677077851921862758889.15600000386815.5538150592.21340.000.000.0011514.013133005.64600.007303.33143272.619214772.92622347.01000.000.000.00009945.08001400110150997.563
1611800-금곡동400243.5574409101.5535171891310507171679582.76630000459721.1723416885.924812949.237504.8414364.01617313.08334532.06240.001237.0211383.7259539.28224639.05000.0025434.5110.00004137.02002225511421063.7177
1711900-오류동637093.26921483766.19407546950544687129.84810022656201495150.812581932309.174927911.3448065.8184791.03577327.2821870438.382426898.042235787.4581099620.22192672.3151405088.930000.00421949.7770.00001262.1300640681628114.3273
1812000-왕길동344383.1528304529.2266009479131267787.0566009276521075257.11030409277.033811833.012144.527312.0922385.09622826.210093387.02219487.9190.0023467.2511731.03000.0055163.7180.00003277.15003241822683701.3235
1912100-불로동604048.0614824061.091648995362601582229847.04020000768799.3909108087.09162126.0152661.223260.067040.014263938.55640.000.0011925.020143096.0266367.0165910.0025886.4250.000023849.21000119472239796.0160
2012200-청라동922910.82051102250.82980000142437.33500004092694.51959774690.971357554.925102200.3354455.43235.213890727.359995987.11370125.324895502.820145558.7126150087.14000.003221943.43151377652.540020822.51000003209394.3113