Overview

Dataset statistics

Number of variables59
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory535.1 B

Variable types

Text1
Numeric48
Categorical10

Dataset

Description경기도 광주시 지적공부 읍면동별 현황에 대한 데이터로 행정구역, 대장구분, 지목, 면적, 지번수, 토지소재지 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/3079665/fileData.do

Alerts

광천(면적) has constant value ""Constant
광천(지번수) has constant value ""Constant
염전(면적) has constant value ""Constant
염전(지번)수 has constant value ""Constant
양어장(면적) is highly imbalanced (60.1%)Imbalance
양어장(지번수) is highly imbalanced (51.2%)Imbalance
유원지(지번수) is highly imbalanced (53.7%)Imbalance
사적지(면적) is highly imbalanced (70.5%)Imbalance
사적지(지번수) is highly imbalanced (70.5%)Imbalance
토지소재지 has unique valuesUnique
면적 has unique valuesUnique
지번수 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
창고용지(면적) has unique valuesUnique
도로(면적) has unique valuesUnique
하천(면적) has unique valuesUnique
구거(면적) has unique valuesUnique
구거(지번수) has unique valuesUnique
종교용지(면적) has unique valuesUnique
잡종지(면적) has unique valuesUnique
과수원(면적) has 5 (19.2%) zerosZeros
과수원(지번수) has 5 (19.2%) zerosZeros
목장용지(면적) has 5 (19.2%) zerosZeros
목장용지(지번수) has 5 (19.2%) zerosZeros
공장용지(면적) has 2 (7.7%) zerosZeros
공장용지(지번수) has 2 (7.7%) zerosZeros
학교용지(면적) has 7 (26.9%) zerosZeros
학교용지(지번수) has 7 (26.9%) zerosZeros
주차장(면적) has 3 (11.5%) zerosZeros
주차장(지번수) has 3 (11.5%) zerosZeros
주요소용지(면적) has 6 (23.1%) zerosZeros
주유소용지(지번수) has 6 (23.1%) zerosZeros
창고용지(면적) has 1 (3.8%) zerosZeros
창고용지(지번수) has 1 (3.8%) zerosZeros
철도용지(면적) has 18 (69.2%) zerosZeros
철도용지(지번수) has 18 (69.2%) zerosZeros
제방(면적) has 14 (53.8%) zerosZeros
제방(지번수) has 14 (53.8%) zerosZeros
유지(면적) has 9 (34.6%) zerosZeros
유지(지번수) has 9 (34.6%) zerosZeros
수도용지(면적) has 18 (69.2%) zerosZeros
공원(면적) has 10 (38.5%) zerosZeros
공원(지번수) has 10 (38.5%) zerosZeros
체육용지(면적) has 6 (23.1%) zerosZeros
체육용지(지번수) has 6 (23.1%) zerosZeros
유원지(면적) has 21 (80.8%) zerosZeros
묘지(면적) has 2 (7.7%) zerosZeros
묘지(지번수) has 2 (7.7%) zerosZeros

Reproduction

Analysis started2023-12-12 13:15:04.670666
Analysis finished2023-12-12 13:15:05.113917
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T22:15:05.233067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.9615385
Min length8

Characters and Unicode

Total characters233
Distinct characters58
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

Unique26 ?
Unique (%)100.0%

Sample

1st row10100-경안동
2nd row10200-쌍령동
3rd row10300-송정동
4th row10400-회덕동
5th row10500-탄벌동
ValueCountFrequency (%)
10100-경안동 1
 
3.8%
10200-쌍령동 1
 
3.8%
35000-남종면 1
 
3.8%
34000-퇴촌면 1
 
3.8%
33000-도척면 1
 
3.8%
25900-곤지암읍 1
 
3.8%
25300-초월읍 1
 
3.8%
12000-양벌동 1
 
3.8%
11900-매산동 1
 
3.8%
11800-추자동 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T22:15:05.559151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67
28.8%
1 32
13.7%
- 26
 
11.2%
20
 
8.6%
3 8
 
3.4%
5 5
 
2.1%
2 5
 
2.1%
4
 
1.7%
7 3
 
1.3%
4 3
 
1.3%
Other values (48) 60
25.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
55.8%
Other Letter 77
33.0%
Dash Punctuation 26
 
11.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
26.0%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
1
 
1.3%
Other values (37) 37
48.1%
Decimal Number
ValueCountFrequency (%)
0 67
51.5%
1 32
24.6%
3 8
 
6.2%
5 5
 
3.8%
2 5
 
3.8%
7 3
 
2.3%
4 3
 
2.3%
9 3
 
2.3%
8 2
 
1.5%
6 2
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
67.0%
Hangul 77
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
26.0%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
1
 
1.3%
Other values (37) 37
48.1%
Common
ValueCountFrequency (%)
0 67
42.9%
1 32
20.5%
- 26
 
16.7%
3 8
 
5.1%
5 5
 
3.2%
2 5
 
3.2%
7 3
 
1.9%
4 3
 
1.9%
9 3
 
1.9%
8 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
67.0%
Hangul 77
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67
42.9%
1 32
20.5%
- 26
 
16.7%
3 8
 
5.1%
5 5
 
3.2%
2 5
 
3.2%
7 3
 
1.9%
4 3
 
1.9%
9 3
 
1.9%
8 2
 
1.3%
Hangul
ValueCountFrequency (%)
20
26.0%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
1
 
1.3%
Other values (37) 37
48.1%

면적
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16576565
Minimum1348001.3
Maximum76167756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:05.679464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1348001.3
5-th percentile2217984.8
Q13938974.7
median5973577
Q38710008.2
95-th percentile59497787
Maximum76167756
Range74819755
Interquartile range (IQR)4771033.4

Descriptive statistics

Standard deviation22189683
Coefficient of variation (CV)1.3386177
Kurtosis1.2050667
Mean16576565
Median Absolute Deviation (MAD)2197180.8
Skewness1.6206208
Sum4.3099068 × 108
Variance4.9238204 × 1014
MonotonicityNot monotonic
2023-12-12T22:15:05.805015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1348001.3 1
 
3.8%
8138472.6 1
 
3.8%
33738591.3 1
 
3.8%
48573174.2 1
 
3.8%
60700191.8 1
 
3.8%
52156428.2 1
 
3.8%
76167756.4 1
 
3.8%
55890572.5 1
 
3.8%
7826045.4 1
 
3.8%
7267324.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1348001.3 1
3.8%
1843917.9 1
3.8%
3340185.5 1
3.8%
3475779.1 1
3.8%
3521219.0 1
3.8%
3744111.0 1
3.8%
3837080.0 1
3.8%
4244658.9 1
3.8%
4451169.5 1
3.8%
4603020.3 1
3.8%
ValueCountFrequency (%)
76167756.4 1
3.8%
60700191.8 1
3.8%
55890572.5 1
3.8%
52156428.2 1
3.8%
48573174.2 1
3.8%
33738591.3 1
3.8%
8900520.0 1
3.8%
8138472.6 1
3.8%
7826045.4 1
3.8%
7695102.4 1
3.8%

지번수
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8656.3846
Minimum2437
Maximum36865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:05.957140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2437
5-th percentile2500.75
Q13441
median4348.5
Q39047.5
95-th percentile29602.75
Maximum36865
Range34428
Interquartile range (IQR)5606.5

Descriptive statistics

Standard deviation9260.808
Coefficient of variation (CV)1.069824
Kurtosis3.4810547
Mean8656.3846
Median Absolute Deviation (MAD)1547.5
Skewness2.0583175
Sum225066
Variance85762565
MonotonicityNot monotonic
2023-12-12T22:15:06.126123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4388 1
 
3.8%
9880 1
 
3.8%
13127 1
 
3.8%
9747 1
 
3.8%
20971 1
 
3.8%
23956 1
 
3.8%
36865 1
 
3.8%
31485 1
 
3.8%
6525 1
 
3.8%
3918 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
2437 1
3.8%
2438 1
3.8%
2689 1
3.8%
2913 1
3.8%
3065 1
3.8%
3217 1
3.8%
3293 1
3.8%
3885 1
3.8%
3909 1
3.8%
3918 1
3.8%
ValueCountFrequency (%)
36865 1
3.8%
31485 1
3.8%
23956 1
3.8%
20971 1
3.8%
13127 1
3.8%
9880 1
3.8%
9747 1
3.8%
6949 1
3.8%
6665 1
3.8%
6525 1
3.8%

전(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean966632.38
Minimum56360
Maximum5308166.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:06.247735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56360
5-th percentile79315.5
Q1160581.75
median331609.5
Q3458448.5
95-th percentile3473672.3
Maximum5308166.4
Range5251806.4
Interquartile range (IQR)297866.75

Descriptive statistics

Standard deviation1422739.6
Coefficient of variation (CV)1.4718518
Kurtosis2.3774068
Mean966632.38
Median Absolute Deviation (MAD)170166
Skewness1.8016685
Sum25132442
Variance2.024188 × 1012
MonotonicityNot monotonic
2023-12-12T22:15:06.382087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
62841.0 1
 
3.8%
459744.0 1
 
3.8%
2736075.4 1
 
3.8%
2274362.1 1
 
3.8%
3235908.1 1
 
3.8%
3552927.0 1
 
3.8%
5308166.4 1
 
3.8%
3067358.0 1
 
3.8%
454562.0 1
 
3.8%
196848.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
56360.0 1
3.8%
62841.0 1
3.8%
128739.0 1
3.8%
133949.0 1
3.8%
140684.0 1
3.8%
148874.0 1
3.8%
159720.0 1
3.8%
163167.0 1
3.8%
163828.0 1
3.8%
196848.0 1
3.8%
ValueCountFrequency (%)
5308166.4 1
3.8%
3552927.0 1
3.8%
3235908.1 1
3.8%
3067358.0 1
3.8%
2736075.4 1
3.8%
2274362.1 1
3.8%
459744.0 1
3.8%
454562.0 1
3.8%
439183.0 1
3.8%
404631.0 1
3.8%

전(지번수)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1291.5
Minimum222
Maximum6373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:06.527063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile247
Q1344.25
median589.5
Q3933.5
95-th percentile4252.75
Maximum6373
Range6151
Interquartile range (IQR)589.25

Descriptive statistics

Standard deviation1639.3737
Coefficient of variation (CV)1.2693563
Kurtosis2.7281758
Mean1291.5
Median Absolute Deviation (MAD)270.5
Skewness1.8674074
Sum33579
Variance2687546.1
MonotonicityNot monotonic
2023-12-12T22:15:06.660458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
351 1
 
3.8%
980 1
 
3.8%
3341 1
 
3.8%
2199 1
 
3.8%
3698 1
 
3.8%
3988 1
 
3.8%
6373 1
 
3.8%
4341 1
 
3.8%
794 1
 
3.8%
295 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
222 1
3.8%
243 1
3.8%
259 1
3.8%
294 1
3.8%
295 1
3.8%
296 1
3.8%
342 1
3.8%
351 1
3.8%
382 1
3.8%
414 1
3.8%
ValueCountFrequency (%)
6373 1
3.8%
4341 1
3.8%
3988 1
3.8%
3698 1
3.8%
3341 1
3.8%
2199 1
3.8%
980 1
3.8%
794 1
3.8%
792 1
3.8%
664 1
3.8%

답(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean854964.57
Minimum42346
Maximum4634777.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:06.802608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42346
5-th percentile63685.25
Q1118690
median262761.5
Q3719250
95-th percentile3538061
Maximum4634777.3
Range4592431.3
Interquartile range (IQR)600560

Descriptive statistics

Standard deviation1277414.9
Coefficient of variation (CV)1.4941144
Kurtosis2.5452793
Mean854964.57
Median Absolute Deviation (MAD)169551.5
Skewness1.8728089
Sum22229079
Variance1.6317888 × 1012
MonotonicityNot monotonic
2023-12-12T22:15:06.929120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
42346.0 1
 
3.8%
375880.0 1
 
3.8%
1331543.2 1
 
3.8%
2163905.4 1
 
3.8%
2689290.7 1
 
3.8%
3712658.0 1
 
3.8%
4634777.3 1
 
3.8%
3014270.0 1
 
3.8%
807924.0 1
 
3.8%
257442.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
42346.0 1
3.8%
60199.0 1
3.8%
74144.0 1
3.8%
76236.1 1
3.8%
92150.0 1
3.8%
94270.0 1
3.8%
116786.0 1
3.8%
124402.0 1
3.8%
129984.0 1
3.8%
154135.0 1
3.8%
ValueCountFrequency (%)
4634777.3 1
3.8%
3712658.0 1
3.8%
3014270.0 1
3.8%
2689290.7 1
3.8%
2163905.4 1
3.8%
1331543.2 1
3.8%
807924.0 1
3.8%
453228.0 1
3.8%
431243.0 1
3.8%
375880.0 1
3.8%

답(지번수)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1076.7308
Minimum131
Maximum5440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:07.046868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile159
Q1233.5
median469
Q3890
95-th percentile3537.25
Maximum5440
Range5309
Interquartile range (IQR)656.5

Descriptive statistics

Standard deviation1393.863
Coefficient of variation (CV)1.2945325
Kurtosis3.0505523
Mean1076.7308
Median Absolute Deviation (MAD)261
Skewness1.9303073
Sum27995
Variance1942854
MonotonicityNot monotonic
2023-12-12T22:15:07.197722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
226 1
 
3.8%
745 1
 
3.8%
1767 1
 
3.8%
2083 1
 
3.8%
3517 1
 
3.8%
3542 1
 
3.8%
5440 1
 
3.8%
3523 1
 
3.8%
931 1
 
3.8%
379 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
131 1
3.8%
150 1
3.8%
186 1
3.8%
201 1
3.8%
215 1
3.8%
226 1
3.8%
230 1
3.8%
244 1
3.8%
252 1
3.8%
362 1
3.8%
ValueCountFrequency (%)
5440 1
3.8%
3542 1
3.8%
3523 1
3.8%
3517 1
3.8%
2083 1
3.8%
1767 1
3.8%
931 1
3.8%
767 1
3.8%
745 1
3.8%
640 1
3.8%

과수원(면적)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21579.654
Minimum0
Maximum103479
Zeros5
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:07.317764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1308
median10488.5
Q319890.5
95-th percentile83866.5
Maximum103479
Range103479
Interquartile range (IQR)19582.5

Descriptive statistics

Standard deviation29837.725
Coefficient of variation (CV)1.3826786
Kurtosis1.72496
Mean21579.654
Median Absolute Deviation (MAD)10057.5
Skewness1.6743508
Sum561071
Variance8.9028981 × 108
MonotonicityNot monotonic
2023-12-12T22:15:07.463928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 5
19.2%
9530 1
 
3.8%
4990 1
 
3.8%
73812 1
 
3.8%
70740 1
 
3.8%
87218 1
 
3.8%
53091 1
 
3.8%
11636 1
 
3.8%
103479 1
 
3.8%
8682 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
0 5
19.2%
100 1
 
3.8%
185 1
 
3.8%
677 1
 
3.8%
4990 1
 
3.8%
5043 1
 
3.8%
5941 1
 
3.8%
8682 1
 
3.8%
9530 1
 
3.8%
11447 1
 
3.8%
ValueCountFrequency (%)
103479 1
3.8%
87218 1
3.8%
73812 1
3.8%
70740 1
3.8%
53091 1
3.8%
26056 1
3.8%
20243 1
3.8%
18833 1
3.8%
17631 1
3.8%
16978 1
3.8%

과수원(지번수)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.461538
Minimum0
Maximum60
Zeros5
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:07.593976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q326.75
95-th percentile49.25
Maximum60
Range60
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation17.987175
Coefficient of variation (CV)1.0926789
Kurtosis-0.02560073
Mean16.461538
Median Absolute Deviation (MAD)9.5
Skewness1.0313253
Sum428
Variance323.53846
MonotonicityNot monotonic
2023-12-12T22:15:07.717033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5
19.2%
2 2
 
7.7%
6 2
 
7.7%
42 1
 
3.8%
11 1
 
3.8%
51 1
 
3.8%
17 1
 
3.8%
60 1
 
3.8%
31 1
 
3.8%
16 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
0 5
19.2%
1 1
 
3.8%
2 2
 
7.7%
3 1
 
3.8%
4 1
 
3.8%
6 2
 
7.7%
9 1
 
3.8%
11 1
 
3.8%
13 1
 
3.8%
16 1
 
3.8%
ValueCountFrequency (%)
60 1
3.8%
51 1
3.8%
44 1
3.8%
42 1
3.8%
39 1
3.8%
31 1
3.8%
27 1
3.8%
26 1
3.8%
18 1
3.8%
17 1
3.8%

목장용지(면적)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40106.192
Minimum0
Maximum329313
Zeros5
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:07.836842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1388.75
median2964.5
Q38043
95-th percentile256110.75
Maximum329313
Range329313
Interquartile range (IQR)7654.25

Descriptive statistics

Standard deviation88250.122
Coefficient of variation (CV)2.2004114
Kurtosis6.4598324
Mean40106.192
Median Absolute Deviation (MAD)2959
Skewness2.6389316
Sum1042761
Variance7.788084 × 109
MonotonicityNot monotonic
2023-12-12T22:15:07.945614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 5
19.2%
48013 1
 
3.8%
6051 1
 
3.8%
121032 1
 
3.8%
301137 1
 
3.8%
329313 1
 
3.8%
107732 1
 
3.8%
1478 1
 
3.8%
3954 1
 
3.8%
3027 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
0 5
19.2%
11 1
 
3.8%
210 1
 
3.8%
925 1
 
3.8%
976 1
 
3.8%
1319 1
 
3.8%
1478 1
 
3.8%
2312 1
 
3.8%
2902 1
 
3.8%
3027 1
 
3.8%
ValueCountFrequency (%)
329313 1
3.8%
301137 1
3.8%
121032 1
3.8%
107732 1
3.8%
92935 1
3.8%
48013 1
3.8%
8707 1
3.8%
6051 1
3.8%
4161 1
3.8%
3954 1
3.8%

목장용지(지번수)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.923077
Minimum0
Maximum184
Zeros5
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:08.062466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median4
Q316.75
95-th percentile128.25
Maximum184
Range184
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation47.303212
Coefficient of variation (CV)1.9773047
Kurtosis5.5236126
Mean23.923077
Median Absolute Deviation (MAD)3.5
Skewness2.4798997
Sum622
Variance2237.5938
MonotonicityNot monotonic
2023-12-12T22:15:08.191741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5
19.2%
3 3
11.5%
4 3
11.5%
2 2
 
7.7%
1 2
 
7.7%
5 2
 
7.7%
18 1
 
3.8%
42 1
 
3.8%
51 1
 
3.8%
7 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 5
19.2%
1 2
 
7.7%
2 2
 
7.7%
3 3
11.5%
4 3
11.5%
5 2
 
7.7%
7 1
 
3.8%
13 1
 
3.8%
18 1
 
3.8%
19 1
 
3.8%
ValueCountFrequency (%)
184 1
3.8%
131 1
3.8%
120 1
3.8%
51 1
3.8%
42 1
3.8%
19 1
3.8%
18 1
3.8%
13 1
3.8%
7 1
3.8%
5 2
7.7%

임야(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10813422
Minimum221503
Maximum47770285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:08.343069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum221503
5-th percentile471746
Q12420975.8
median3828387
Q35970814.2
95-th percentile43516795
Maximum47770285
Range47548782
Interquartile range (IQR)3549838.5

Descriptive statistics

Standard deviation15224929
Coefficient of variation (CV)1.4079658
Kurtosis0.86749511
Mean10813422
Median Absolute Deviation (MAD)1449509.5
Skewness1.5518658
Sum2.8114898 × 108
Variance2.3179846 × 1014
MonotonicityNot monotonic
2023-12-12T22:15:08.460435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
221503.0 1
 
3.8%
4741597.9 1
 
3.8%
25916363.1 1
 
3.8%
33149003.0 1
 
3.8%
46234934.0 1
 
3.8%
34324670.5 1
 
3.8%
47770285.2 1
 
3.8%
35362379.8 1
 
3.8%
3884063.0 1
 
3.8%
3774533.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
221503.0 1
3.8%
249563.0 1
3.8%
1138295.0 1
3.8%
1631269.0 1
3.8%
1833703.0 1
3.8%
2343595.0 1
3.8%
2414160.0 1
3.8%
2441423.1 1
3.8%
2483565.0 1
3.8%
2636250.0 1
3.8%
ValueCountFrequency (%)
47770285.2 1
3.8%
46234934.0 1
3.8%
35362379.8 1
3.8%
34324670.5 1
3.8%
33149003.0 1
3.8%
25916363.1 1
3.8%
6309281.0 1
3.8%
4955414.0 1
3.8%
4741597.9 1
3.8%
4213045.0 1
3.8%

임야(지번수)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1085.9231
Minimum115
Maximum4601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:08.594027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile201.75
Q1392.75
median550.5
Q31225
95-th percentile3218.75
Maximum4601
Range4486
Interquartile range (IQR)832.25

Descriptive statistics

Standard deviation1190.3778
Coefficient of variation (CV)1.0961898
Kurtosis1.9874522
Mean1085.9231
Median Absolute Deviation (MAD)215
Skewness1.6906025
Sum28234
Variance1416999.2
MonotonicityNot monotonic
2023-12-12T22:15:08.762266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
216 1
 
3.8%
1340 1
 
3.8%
2741 1
 
3.8%
1687 1
 
3.8%
3249 1
 
3.8%
2787 1
 
3.8%
4601 1
 
3.8%
3128 1
 
3.8%
498 1
 
3.8%
236 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
115 1
3.8%
197 1
3.8%
216 1
3.8%
236 1
3.8%
291 1
3.8%
380 1
3.8%
388 1
3.8%
407 1
3.8%
444 1
3.8%
490 1
3.8%
ValueCountFrequency (%)
4601 1
3.8%
3249 1
3.8%
3128 1
3.8%
2787 1
3.8%
2741 1
3.8%
1687 1
3.8%
1340 1
3.8%
880 1
3.8%
710 1
3.8%
638 1
3.8%

광천(면적)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
26 

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 26
100.0%

Length

2023-12-12T22:15:08.906358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:08.999963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

광천(지번수)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
26 

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 26
100.0%

Length

2023-12-12T22:15:09.096813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:09.240680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

염전(면적)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
26 

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 26
100.0%

Length

2023-12-12T22:15:09.355797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:09.493436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

염전(지번)수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
26 

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 26
100.0%

Length

2023-12-12T22:15:09.621426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:09.718281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

대(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean906510.18
Minimum98918
Maximum3338653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:10.139374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98918
5-th percentile248572.75
Q1422354.5
median585946.5
Q31039681.8
95-th percentile2694148.2
Maximum3338653
Range3239735
Interquartile range (IQR)617327.3

Descriptive statistics

Standard deviation824061.43
Coefficient of variation (CV)0.90904818
Kurtosis2.7856658
Mean906510.18
Median Absolute Deviation (MAD)274835.4
Skewness1.7996953
Sum23569265
Variance6.7907725 × 1011
MonotonicityNot monotonic
2023-12-12T22:15:10.265530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
523346.7 1
 
3.8%
1651698.4 1
 
3.8%
498150.9 1
 
3.8%
493647.7 1
 
3.8%
1982932.3 1
 
3.8%
1954776.6 1
 
3.8%
2931220.2 1
 
3.8%
3338653.0 1
 
3.8%
928206.1 1
 
3.8%
427693.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
98918.0 1
3.8%
244350.0 1
3.8%
261241.0 1
3.8%
297609.3 1
3.8%
324612.9 1
3.8%
363831.9 1
3.8%
420575.0 1
3.8%
427693.0 1
3.8%
484393.0 1
3.8%
493647.7 1
3.8%
ValueCountFrequency (%)
3338653.0 1
3.8%
2931220.2 1
3.8%
1982932.3 1
3.8%
1954776.6 1
3.8%
1651698.4 1
3.8%
1177434.5 1
3.8%
1056821.8 1
3.8%
988261.8 1
3.8%
928206.1 1
3.8%
697139.1 1
3.8%

대(지번수)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1747.9615
Minimum213
Maximum5739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:10.405109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum213
5-th percentile497
Q1777.5
median1129
Q32272.25
95-th percentile4976.5
Maximum5739
Range5526
Interquartile range (IQR)1494.75

Descriptive statistics

Standard deviation1506.8231
Coefficient of variation (CV)0.86204589
Kurtosis1.3272474
Mean1747.9615
Median Absolute Deviation (MAD)484
Skewness1.4860833
Sum45447
Variance2270515.7
MonotonicityNot monotonic
2023-12-12T22:15:10.552209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
586 2
 
7.7%
2352 1
 
3.8%
3434 1
 
3.8%
1431 1
 
3.8%
1433 1
 
3.8%
4306 1
 
3.8%
3638 1
 
3.8%
5200 1
 
3.8%
5739 1
 
3.8%
1437 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
213 1
3.8%
486 1
3.8%
530 1
3.8%
586 2
7.7%
704 1
3.8%
753 1
3.8%
851 1
3.8%
884 1
3.8%
887 1
3.8%
980 1
3.8%
ValueCountFrequency (%)
5739 1
3.8%
5200 1
3.8%
4306 1
3.8%
3638 1
3.8%
3434 1
3.8%
2477 1
3.8%
2352 1
3.8%
2033 1
3.8%
1437 1
3.8%
1433 1
3.8%

공장용지(면적)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean438667.57
Minimum0
Maximum2844865.3
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:10.698637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile598
Q131553.25
median107592.5
Q3408947.55
95-th percentile2553418
Maximum2844865.3
Range2844865.3
Interquartile range (IQR)377394.3

Descriptive statistics

Standard deviation791293.18
Coefficient of variation (CV)1.8038561
Kurtosis5.5618996
Mean438667.57
Median Absolute Deviation (MAD)106396.5
Skewness2.5193039
Sum11405357
Variance6.261449 × 1011
MonotonicityNot monotonic
2023-12-12T22:15:10.840265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 2
 
7.7%
2392.0 1
 
3.8%
19371.0 1
 
3.8%
16382.0 1
 
3.8%
1753708.0 1
 
3.8%
2819988.0 1
 
3.8%
2844865.3 1
 
3.8%
379800.0 1
 
3.8%
459534.0 1
 
3.8%
303917.0 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
0.0 2
7.7%
2392.0 1
3.8%
2556.0 1
3.8%
16382.0 1
3.8%
19371.0 1
3.8%
31204.0 1
3.8%
32601.0 1
3.8%
42939.0 1
3.8%
69796.0 1
3.8%
74501.0 1
3.8%
ValueCountFrequency (%)
2844865.3 1
3.8%
2819988.0 1
3.8%
1753708.0 1
3.8%
722794.0 1
3.8%
459534.0 1
3.8%
450858.0 1
3.8%
418663.4 1
3.8%
379800.0 1
3.8%
303917.0 1
3.8%
223256.0 1
3.8%

공장용지(지번수)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415
Minimum0
Maximum2815
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:10.982685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q144.5
median133.5
Q3410.5
95-th percentile2105
Maximum2815
Range2815
Interquartile range (IQR)366

Descriptive statistics

Standard deviation706.27587
Coefficient of variation (CV)1.7018696
Kurtosis6.4469928
Mean415
Median Absolute Deviation (MAD)127.5
Skewness2.6139602
Sum10790
Variance498825.6
MonotonicityNot monotonic
2023-12-12T22:15:11.115836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 2
 
7.7%
109 2
 
7.7%
12 1
 
3.8%
316 1
 
3.8%
27 1
 
3.8%
1394 1
 
3.8%
2342 1
 
3.8%
2815 1
 
3.8%
325 1
 
3.8%
439 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
0 2
7.7%
12 1
3.8%
21 1
3.8%
27 1
3.8%
43 1
3.8%
44 1
3.8%
46 1
3.8%
50 1
3.8%
67 1
3.8%
109 2
7.7%
ValueCountFrequency (%)
2815 1
3.8%
2342 1
3.8%
1394 1
3.8%
723 1
3.8%
459 1
3.8%
453 1
3.8%
439 1
3.8%
325 1
3.8%
316 1
3.8%
286 1
3.8%

학교용지(면적)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37808.931
Minimum0
Maximum230571
Zeros7
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:11.245892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11145.5
median23866
Q337267.625
95-th percentile118889.23
Maximum230571
Range230571
Interquartile range (IQR)36122.125

Descriptive statistics

Standard deviation51707.72
Coefficient of variation (CV)1.367606
Kurtosis7.1418659
Mean37808.931
Median Absolute Deviation (MAD)19463.5
Skewness2.456035
Sum983032.2
Variance2.6736883 × 109
MonotonicityNot monotonic
2023-12-12T22:15:11.381627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
26.9%
104024.0 1
 
3.8%
20028.0 1
 
3.8%
27840.0 1
 
3.8%
22102.0 1
 
3.8%
33124.0 1
 
3.8%
28607.0 1
 
3.8%
230571.0 1
 
3.8%
89264.5 1
 
3.8%
26414.0 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
0.0 7
26.9%
4582.0 1
 
3.8%
13983.0 1
 
3.8%
14498.9 1
 
3.8%
20028.0 1
 
3.8%
21797.0 1
 
3.8%
22102.0 1
 
3.8%
25630.0 1
 
3.8%
26414.0 1
 
3.8%
27840.0 1
 
3.8%
ValueCountFrequency (%)
230571.0 1
3.8%
123844.3 1
3.8%
104024.0 1
3.8%
89264.5 1
3.8%
78944.8 1
3.8%
43509.0 1
3.8%
37400.9 1
3.8%
36867.8 1
3.8%
33124.0 1
3.8%
28607.0 1
3.8%

학교용지(지번수)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5769231
Minimum0
Maximum53
Zeros7
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:11.523981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median4
Q37.75
95-th percentile26.25
Maximum53
Range53
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation11.517545
Coefficient of variation (CV)1.5200821
Kurtosis9.65605
Mean7.5769231
Median Absolute Deviation (MAD)4
Skewness2.8829252
Sum197
Variance132.65385
MonotonicityNot monotonic
2023-12-12T22:15:11.690384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 7
26.9%
3 4
15.4%
6 2
 
7.7%
5 2
 
7.7%
7 2
 
7.7%
29 1
 
3.8%
10 1
 
3.8%
18 1
 
3.8%
2 1
 
3.8%
8 1
 
3.8%
Other values (4) 4
15.4%
ValueCountFrequency (%)
0 7
26.9%
1 1
 
3.8%
2 1
 
3.8%
3 4
15.4%
5 2
 
7.7%
6 2
 
7.7%
7 2
 
7.7%
8 1
 
3.8%
10 1
 
3.8%
11 1
 
3.8%
ValueCountFrequency (%)
53 1
3.8%
29 1
3.8%
18 1
3.8%
17 1
3.8%
11 1
3.8%
10 1
3.8%
8 1
3.8%
7 2
7.7%
6 2
7.7%
5 2
7.7%

주차장(면적)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4179.8423
Minimum0
Maximum16720
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:11.830288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1383.5
median1788.8
Q36891.8
95-th percentile14633.425
Maximum16720
Range16720
Interquartile range (IQR)6508.3

Descriptive statistics

Standard deviation5038.8051
Coefficient of variation (CV)1.2055012
Kurtosis0.59935348
Mean4179.8423
Median Absolute Deviation (MAD)1654.3
Skewness1.2898902
Sum108675.9
Variance25389556
MonotonicityNot monotonic
2023-12-12T22:15:11.970958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 3
 
11.5%
4142.7 1
 
3.8%
2249.4 1
 
3.8%
16720.0 1
 
3.8%
300.0 1
 
3.8%
8490.0 1
 
3.8%
8647.0 1
 
3.8%
13348.0 1
 
3.8%
15061.9 1
 
3.8%
313.0 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
0.0 3
11.5%
269.0 1
 
3.8%
293.0 1
 
3.8%
300.0 1
 
3.8%
313.0 1
 
3.8%
595.0 1
 
3.8%
689.0 1
 
3.8%
902.0 1
 
3.8%
1061.0 1
 
3.8%
1574.0 1
 
3.8%
ValueCountFrequency (%)
16720.0 1
3.8%
15061.9 1
3.8%
13348.0 1
3.8%
10389.9 1
3.8%
8647.0 1
3.8%
8490.0 1
3.8%
6988.4 1
3.8%
6602.0 1
3.8%
4229.0 1
3.8%
4142.7 1
3.8%

주차장(지번수)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2307692
Minimum0
Maximum39
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:12.111041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q310.75
95-th percentile31.25
Maximum39
Range39
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation9.9812131
Coefficient of variation (CV)1.2126708
Kurtosis4.0980887
Mean8.2307692
Median Absolute Deviation (MAD)3.5
Skewness2.0456354
Sum214
Variance99.624615
MonotonicityNot monotonic
2023-12-12T22:15:12.261316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 3
11.5%
3 3
11.5%
0 3
11.5%
12 2
 
7.7%
4 2
 
7.7%
5 2
 
7.7%
10 2
 
7.7%
1 2
 
7.7%
7 1
 
3.8%
20 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 3
11.5%
1 2
7.7%
2 3
11.5%
3 3
11.5%
4 2
7.7%
5 2
7.7%
6 1
 
3.8%
7 1
 
3.8%
10 2
7.7%
11 1
 
3.8%
ValueCountFrequency (%)
39 1
3.8%
35 1
3.8%
20 1
3.8%
17 1
3.8%
12 2
7.7%
11 1
3.8%
10 2
7.7%
7 1
3.8%
6 1
3.8%
5 2
7.7%

주요소용지(면적)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3484.3846
Minimum0
Maximum14320
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:12.374486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1215
median2186.5
Q35266.5
95-th percentile11255
Maximum14320
Range14320
Interquartile range (IQR)5051.5

Descriptive statistics

Standard deviation3991.7264
Coefficient of variation (CV)1.1456044
Kurtosis1.0513577
Mean3484.3846
Median Absolute Deviation (MAD)2186.5
Skewness1.2785538
Sum90594
Variance15933880
MonotonicityNot monotonic
2023-12-12T22:15:12.531422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 6
23.1%
2618 1
 
3.8%
8470 1
 
3.8%
10199 1
 
3.8%
14320 1
 
3.8%
4137 1
 
3.8%
1350 1
 
3.8%
741 1
 
3.8%
5741 1
 
3.8%
6224 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
0 6
23.1%
197 1
 
3.8%
269 1
 
3.8%
677 1
 
3.8%
741 1
 
3.8%
777 1
 
3.8%
1350 1
 
3.8%
1755 1
 
3.8%
2618 1
 
3.8%
2876 1
 
3.8%
ValueCountFrequency (%)
14320 1
3.8%
11607 1
3.8%
10199 1
3.8%
8470 1
3.8%
6224 1
3.8%
5741 1
3.8%
5446 1
3.8%
4728 1
3.8%
4441 1
3.8%
4137 1
3.8%

주유소용지(지번수)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9230769
Minimum0
Maximum20
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:12.682685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37.5
95-th percentile18
Maximum20
Range20
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.6208403
Coefficient of variation (CV)1.1417332
Kurtosis2.2797709
Mean4.9230769
Median Absolute Deviation (MAD)3
Skewness1.6047187
Sum128
Variance31.593846
MonotonicityNot monotonic
2023-12-12T22:15:12.811739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 6
23.1%
3 6
23.1%
5 2
 
7.7%
1 2
 
7.7%
2 2
 
7.7%
9 2
 
7.7%
20 2
 
7.7%
8 1
 
3.8%
10 1
 
3.8%
6 1
 
3.8%
ValueCountFrequency (%)
0 6
23.1%
1 2
 
7.7%
2 2
 
7.7%
3 6
23.1%
5 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%
9 2
 
7.7%
10 1
 
3.8%
12 1
 
3.8%
ValueCountFrequency (%)
20 2
 
7.7%
12 1
 
3.8%
10 1
 
3.8%
9 2
 
7.7%
8 1
 
3.8%
6 1
 
3.8%
5 2
 
7.7%
3 6
23.1%
2 2
 
7.7%
1 2
 
7.7%

창고용지(면적)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164906.99
Minimum0
Maximum957497.5
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:12.955987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9547.5
Q122981.75
median59378.5
Q390661.25
95-th percentile817081.45
Maximum957497.5
Range957497.5
Interquartile range (IQR)67679.5

Descriptive statistics

Standard deviation272368.23
Coefficient of variation (CV)1.6516475
Kurtosis3.6118747
Mean164906.99
Median Absolute Deviation (MAD)35904
Skewness2.1877702
Sum4287581.8
Variance7.418445 × 1010
MonotonicityNot monotonic
2023-12-12T22:15:13.088479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 1
 
3.8%
60352.0 1
 
3.8%
19702.0 1
 
3.8%
7739.0 1
 
3.8%
47645.0 1
 
3.8%
820885.7 1
 
3.8%
805668.7 1
 
3.8%
957497.5 1
 
3.8%
58405.0 1
 
3.8%
74656.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
0.0 1
3.8%
7739.0 1
3.8%
14973.0 1
3.8%
16249.0 1
3.8%
17938.0 1
3.8%
19702.0 1
3.8%
22489.0 1
3.8%
24460.0 1
3.8%
35195.0 1
3.8%
40525.0 1
3.8%
ValueCountFrequency (%)
957497.5 1
3.8%
820885.7 1
3.8%
805668.7 1
3.8%
418031.9 1
3.8%
277762.0 1
3.8%
124645.0 1
3.8%
92124.0 1
3.8%
86273.0 1
3.8%
80024.0 1
3.8%
79965.0 1
3.8%

창고용지(지번수)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5
Minimum0
Maximum701
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:13.199935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.25
Q137.75
median66.5
Q392
95-th percentile466
Maximum701
Range701
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation169.07637
Coefficient of variation (CV)1.3157694
Kurtosis4.9747263
Mean128.5
Median Absolute Deviation (MAD)29
Skewness2.2984095
Sum3341
Variance28586.82
MonotonicityNot monotonic
2023-12-12T22:15:13.335711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
58 2
 
7.7%
92 2
 
7.7%
64 2
 
7.7%
87 2
 
7.7%
120 1
 
3.8%
69 1
 
3.8%
51 1
 
3.8%
451 1
 
3.8%
471 1
 
3.8%
701 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
0 1
3.8%
14 1
3.8%
19 1
3.8%
21 1
3.8%
23 1
3.8%
30 1
3.8%
34 1
3.8%
49 1
3.8%
51 1
3.8%
58 2
7.7%
ValueCountFrequency (%)
701 1
3.8%
471 1
3.8%
451 1
3.8%
317 1
3.8%
190 1
3.8%
120 1
3.8%
92 2
7.7%
91 1
3.8%
88 1
3.8%
87 2
7.7%

도로(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597162.02
Minimum85345
Maximum2998524.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:13.489717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85345
5-th percentile121766.75
Q1168702.12
median306693.3
Q3436473.02
95-th percentile2502585.4
Maximum2998524.6
Range2913179.6
Interquartile range (IQR)267770.9

Descriptive statistics

Standard deviation787690.74
Coefficient of variation (CV)1.319057
Kurtosis4.4018305
Mean597162.02
Median Absolute Deviation (MAD)143087.95
Skewness2.2681121
Sum15526213
Variance6.2045671 × 1011
MonotonicityNot monotonic
2023-12-12T22:15:13.620559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
160082.7 1
 
3.8%
341571.2 1
 
3.8%
1646890.0 1
 
3.8%
454465.7 1
 
3.8%
1026961.8 1
 
3.8%
1608641.8 1
 
3.8%
2998524.6 1
 
3.8%
2787817.2 1
 
3.8%
309678.6 1
 
3.8%
153781.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
85345.0 1
3.8%
114423.0 1
3.8%
143798.0 1
3.8%
153781.0 1
3.8%
156818.3 1
3.8%
160082.7 1
3.8%
167128.0 1
3.8%
173424.5 1
3.8%
200119.2 1
3.8%
232588.0 1
3.8%
ValueCountFrequency (%)
2998524.6 1
3.8%
2787817.2 1
3.8%
1646890.0 1
3.8%
1608641.8 1
3.8%
1026961.8 1
3.8%
454465.7 1
3.8%
453316.6 1
3.8%
385942.3 1
3.8%
365017.3 1
3.8%
356029.0 1
3.8%

도로(지번수)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.3077
Minimum551
Maximum8811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:13.776096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum551
5-th percentile644
Q1818
median1072
Q31901.25
95-th percentile7227.75
Maximum8811
Range8260
Interquartile range (IQR)1083.25

Descriptive statistics

Standard deviation2164.8561
Coefficient of variation (CV)1.0801017
Kurtosis4.7368283
Mean2004.3077
Median Absolute Deviation (MAD)307
Skewness2.2962619
Sum52112
Variance4686602.1
MonotonicityNot monotonic
2023-12-12T22:15:13.929140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1072 2
 
7.7%
839 1
 
3.8%
2662 1
 
3.8%
2553 1
 
3.8%
4023 1
 
3.8%
5175 1
 
3.8%
8811 1
 
3.8%
7912 1
 
3.8%
1438 1
 
3.8%
941 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
551 1
3.8%
607 1
3.8%
755 1
3.8%
775 1
3.8%
784 1
3.8%
798 1
3.8%
811 1
3.8%
839 1
3.8%
854 1
3.8%
888 1
3.8%
ValueCountFrequency (%)
8811 1
3.8%
7912 1
3.8%
5175 1
3.8%
4023 1
3.8%
2662 1
3.8%
2553 1
3.8%
1913 1
3.8%
1866 1
3.8%
1497 1
3.8%
1438 1
3.8%

철도용지(면적)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4550
Minimum0
Maximum51296
Zeros18
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:14.067068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31470.25
95-th percentile24697.5
Maximum51296
Range51296
Interquartile range (IQR)1470.25

Descriptive statistics

Standard deviation11642.739
Coefficient of variation (CV)2.5588437
Kurtosis10.653944
Mean4550
Median Absolute Deviation (MAD)0
Skewness3.1617135
Sum118300
Variance1.3555337 × 108
MonotonicityNot monotonic
2023-12-12T22:15:14.198372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 18
69.2%
2258 1
 
3.8%
982 1
 
3.8%
1633 1
 
3.8%
1861 1
 
3.8%
18669 1
 
3.8%
14894 1
 
3.8%
26707 1
 
3.8%
51296 1
 
3.8%
ValueCountFrequency (%)
0 18
69.2%
982 1
 
3.8%
1633 1
 
3.8%
1861 1
 
3.8%
2258 1
 
3.8%
14894 1
 
3.8%
18669 1
 
3.8%
26707 1
 
3.8%
51296 1
 
3.8%
ValueCountFrequency (%)
51296 1
 
3.8%
26707 1
 
3.8%
18669 1
 
3.8%
14894 1
 
3.8%
2258 1
 
3.8%
1861 1
 
3.8%
1633 1
 
3.8%
982 1
 
3.8%
0 18
69.2%

철도용지(지번수)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.846154
Minimum0
Maximum124
Zeros18
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:14.311745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.75
95-th percentile57.5
Maximum124
Range124
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation27.518274
Coefficient of variation (CV)2.5371458
Kurtosis12.021873
Mean10.846154
Median Absolute Deviation (MAD)0
Skewness3.3493555
Sum282
Variance757.25538
MonotonicityNot monotonic
2023-12-12T22:15:14.444993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 18
69.2%
6 1
 
3.8%
4 1
 
3.8%
14 1
 
3.8%
5 1
 
3.8%
32 1
 
3.8%
31 1
 
3.8%
66 1
 
3.8%
124 1
 
3.8%
ValueCountFrequency (%)
0 18
69.2%
4 1
 
3.8%
5 1
 
3.8%
6 1
 
3.8%
14 1
 
3.8%
31 1
 
3.8%
32 1
 
3.8%
66 1
 
3.8%
124 1
 
3.8%
ValueCountFrequency (%)
124 1
 
3.8%
66 1
 
3.8%
32 1
 
3.8%
31 1
 
3.8%
14 1
 
3.8%
6 1
 
3.8%
5 1
 
3.8%
4 1
 
3.8%
0 18
69.2%

제방(면적)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4352.1923
Minimum0
Maximum49134
Zeros14
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:14.593140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35327.5
95-th percentile12369.5
Maximum49134
Range49134
Interquartile range (IQR)5327.5

Descriptive statistics

Standard deviation10014.585
Coefficient of variation (CV)2.3010437
Kurtosis17.019179
Mean4352.1923
Median Absolute Deviation (MAD)0
Skewness3.8707753
Sum113157
Variance1.002919 × 108
MonotonicityNot monotonic
2023-12-12T22:15:14.734747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 14
53.8%
6401 1
 
3.8%
2916 1
 
3.8%
9591 1
 
3.8%
12017 1
 
3.8%
9467 1
 
3.8%
26 1
 
3.8%
5483 1
 
3.8%
715 1
 
3.8%
12487 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 14
53.8%
26 1
 
3.8%
59 1
 
3.8%
715 1
 
3.8%
2916 1
 
3.8%
4861 1
 
3.8%
5483 1
 
3.8%
6401 1
 
3.8%
9467 1
 
3.8%
9591 1
 
3.8%
ValueCountFrequency (%)
49134 1
3.8%
12487 1
3.8%
12017 1
3.8%
9591 1
3.8%
9467 1
3.8%
6401 1
3.8%
5483 1
3.8%
4861 1
3.8%
2916 1
3.8%
715 1
3.8%

제방(지번수)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8461538
Minimum0
Maximum66
Zeros14
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:14.865388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile38.5
Maximum66
Range66
Interquartile range (IQR)8

Descriptive statistics

Standard deviation15.397902
Coefficient of variation (CV)1.9624777
Kurtosis8.4658339
Mean7.8461538
Median Absolute Deviation (MAD)0
Skewness2.8290071
Sum204
Variance237.09538
MonotonicityNot monotonic
2023-12-12T22:15:14.999538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 14
53.8%
8 2
 
7.7%
25 1
 
3.8%
7 1
 
3.8%
11 1
 
3.8%
14 1
 
3.8%
1 1
 
3.8%
3 1
 
3.8%
66 1
 
3.8%
13 1
 
3.8%
Other values (2) 2
 
7.7%
ValueCountFrequency (%)
0 14
53.8%
1 1
 
3.8%
3 1
 
3.8%
5 1
 
3.8%
7 1
 
3.8%
8 2
 
7.7%
11 1
 
3.8%
13 1
 
3.8%
14 1
 
3.8%
25 1
 
3.8%
ValueCountFrequency (%)
66 1
3.8%
43 1
3.8%
25 1
3.8%
14 1
3.8%
13 1
3.8%
11 1
3.8%
8 2
7.7%
7 1
3.8%
5 1
3.8%
3 1
3.8%

하천(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean553148.27
Minimum994
Maximum3852213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:15.122559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum994
5-th percentile25445.25
Q171315.5
median172692.5
Q3390627
95-th percentile2561891.6
Maximum3852213
Range3851219
Interquartile range (IQR)319311.5

Descriptive statistics

Standard deviation952964.23
Coefficient of variation (CV)1.7228007
Kurtosis5.7933569
Mean553148.27
Median Absolute Deviation (MAD)109548.5
Skewness2.4484677
Sum14381855
Variance9.0814082 × 1011
MonotonicityNot monotonic
2023-12-12T22:15:15.263088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
76768.0 1
 
3.8%
994.0 1
 
3.8%
616417.4 1
 
3.8%
3852213.0 1
 
3.8%
1552039.0 1
 
3.8%
1151199.6 1
 
3.8%
1804492.9 1
 
3.8%
2814357.9 1
 
3.8%
433956.0 1
 
3.8%
260640.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
994.0 1
3.8%
18961.0 1
3.8%
44898.0 1
3.8%
48973.0 1
3.8%
54837.0 1
3.8%
56790.0 1
3.8%
69498.0 1
3.8%
76768.0 1
3.8%
85142.0 1
3.8%
87920.0 1
3.8%
ValueCountFrequency (%)
3852213.0 1
3.8%
2814357.9 1
3.8%
1804492.9 1
3.8%
1552039.0 1
3.8%
1151199.6 1
3.8%
616417.4 1
3.8%
433956.0 1
3.8%
260640.0 1
3.8%
219121.0 1
3.8%
184765.0 1
3.8%

하천(지번수)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.07692
Minimum14
Maximum1498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:15.429307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile41.5
Q186.75
median139.5
Q3226
95-th percentile1346.75
Maximum1498
Range1484
Interquartile range (IQR)139.25

Descriptive statistics

Standard deviation419.67434
Coefficient of variation (CV)1.366675
Kurtosis3.6338947
Mean307.07692
Median Absolute Deviation (MAD)65
Skewness2.1785321
Sum7984
Variance176126.55
MonotonicityNot monotonic
2023-12-12T22:15:15.573488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
141 2
 
7.7%
89 1
 
3.8%
135 1
 
3.8%
416 1
 
3.8%
106 1
 
3.8%
606 1
 
3.8%
1498 1
 
3.8%
1307 1
 
3.8%
1360 1
 
3.8%
390 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
14 1
3.8%
37 1
3.8%
55 1
3.8%
72 1
3.8%
77 1
3.8%
81 1
3.8%
86 1
3.8%
89 1
3.8%
99 1
3.8%
106 1
3.8%
ValueCountFrequency (%)
1498 1
3.8%
1360 1
3.8%
1307 1
3.8%
606 1
3.8%
416 1
3.8%
390 1
3.8%
227 1
3.8%
223 1
3.8%
211 1
3.8%
198 1
3.8%

구거(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174914.1
Minimum14842
Maximum841172.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:15.722994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14842
5-th percentile20120.5
Q135770.75
median68188
Q3110836.5
95-th percentile640428.92
Maximum841172.1
Range826330.1
Interquartile range (IQR)75065.75

Descriptive statistics

Standard deviation235404.84
Coefficient of variation (CV)1.3458311
Kurtosis1.7179662
Mean174914.1
Median Absolute Deviation (MAD)36762.5
Skewness1.6890915
Sum4547766.7
Variance5.5415437 × 1010
MonotonicityNot monotonic
2023-12-12T22:15:15.864928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
18717.0 1
 
3.8%
112920.0 1
 
3.8%
438611.8 1
 
3.8%
414864.6 1
 
3.8%
465869.9 1
 
3.8%
627943.6 1
 
3.8%
841172.1 1
 
3.8%
644590.7 1
 
3.8%
95509.0 1
 
3.8%
101744.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
14842.0 1
3.8%
18717.0 1
3.8%
24331.0 1
3.8%
24559.0 1
3.8%
25865.0 1
3.8%
31061.0 1
3.8%
35385.0 1
3.8%
36928.0 1
3.8%
38485.0 1
3.8%
40293.0 1
3.8%
ValueCountFrequency (%)
841172.1 1
3.8%
644590.7 1
3.8%
627943.6 1
3.8%
465869.9 1
3.8%
438611.8 1
3.8%
414864.6 1
3.8%
112920.0 1
3.8%
104586.0 1
3.8%
101744.0 1
3.8%
96495.0 1
3.8%

구거(지번수)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.5
Minimum28
Maximum898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:16.000984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile49
Q179.5
median112.5
Q3175.25
95-th percentile747
Maximum898
Range870
Interquartile range (IQR)95.75

Descriptive statistics

Standard deviation235.17215
Coefficient of variation (CV)1.1499861
Kurtosis3.4161055
Mean204.5
Median Absolute Deviation (MAD)44
Skewness2.0907678
Sum5317
Variance55305.94
MonotonicityNot monotonic
2023-12-12T22:15:16.116965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
100 1
 
3.8%
161 1
 
3.8%
387 1
 
3.8%
152 1
 
3.8%
363 1
 
3.8%
744 1
 
3.8%
898 1
 
3.8%
748 1
 
3.8%
180 1
 
3.8%
125 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
28 1
3.8%
47 1
3.8%
55 1
3.8%
58 1
3.8%
64 1
3.8%
76 1
3.8%
79 1
3.8%
81 1
3.8%
84 1
3.8%
88 1
3.8%
ValueCountFrequency (%)
898 1
3.8%
748 1
3.8%
744 1
3.8%
387 1
3.8%
363 1
3.8%
207 1
3.8%
180 1
3.8%
161 1
3.8%
152 1
3.8%
140 1
3.8%

유지(면적)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312755.05
Minimum0
Maximum5376207.7
Zeros9
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:16.243123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median381.5
Q33893.5
95-th percentile1885690
Maximum5376207.7
Range5376207.7
Interquartile range (IQR)3893.5

Descriptive statistics

Standard deviation1140117.6
Coefficient of variation (CV)3.6454012
Kurtosis17.053089
Mean312755.05
Median Absolute Deviation (MAD)381.5
Skewness4.0702155
Sum8131631.4
Variance1.2998682 × 1012
MonotonicityNot monotonic
2023-12-12T22:15:16.419888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 9
34.6%
307.0 1
 
3.8%
20569.0 1
 
3.8%
5376207.7 1
 
3.8%
2471259.0 1
 
3.8%
109510.9 1
 
3.8%
4132.0 1
 
3.8%
9539.4 1
 
3.8%
436.0 1
 
3.8%
2171.3 1
 
3.8%
Other values (8) 8
30.8%
ValueCountFrequency (%)
0.0 9
34.6%
78.0 1
 
3.8%
201.0 1
 
3.8%
307.0 1
 
3.8%
327.0 1
 
3.8%
436.0 1
 
3.8%
1006.0 1
 
3.8%
1243.0 1
 
3.8%
2171.3 1
 
3.8%
2483.1 1
 
3.8%
ValueCountFrequency (%)
5376207.7 1
3.8%
2471259.0 1
3.8%
128983.0 1
3.8%
109510.9 1
3.8%
20569.0 1
3.8%
9539.4 1
3.8%
4132.0 1
3.8%
3178.0 1
3.8%
2483.1 1
3.8%
2171.3 1
3.8%

유지(지번수)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.576923
Minimum0
Maximum784
Zeros9
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:16.531054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.75
95-th percentile522
Maximum784
Range784
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation196.7915
Coefficient of variation (CV)3.1447935
Kurtosis10.357633
Mean62.576923
Median Absolute Deviation (MAD)1
Skewness3.3689433
Sum1627
Variance38726.894
MonotonicityNot monotonic
2023-12-12T22:15:16.918127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9
34.6%
1 6
23.1%
2 3
 
11.5%
7 1
 
3.8%
40 1
 
3.8%
15 1
 
3.8%
6 1
 
3.8%
84 1
 
3.8%
668 1
 
3.8%
784 1
 
3.8%
ValueCountFrequency (%)
0 9
34.6%
1 6
23.1%
2 3
 
11.5%
6 1
 
3.8%
7 1
 
3.8%
11 1
 
3.8%
15 1
 
3.8%
40 1
 
3.8%
84 1
 
3.8%
668 1
 
3.8%
ValueCountFrequency (%)
784 1
 
3.8%
668 1
 
3.8%
84 1
 
3.8%
40 1
 
3.8%
15 1
 
3.8%
11 1
 
3.8%
7 1
 
3.8%
6 1
 
3.8%
2 3
11.5%
1 6
23.1%

양어장(면적)
Categorical

IMBALANCE 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
22 
986
 
1
3472
 
1
929
 
1
523
 
1

Length

Max length4
Median length1
Mean length1.3461538
Min length1

Unique

Unique4 ?
Unique (%)15.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
84.6%
986 1
 
3.8%
3472 1
 
3.8%
929 1
 
3.8%
523 1
 
3.8%

Length

2023-12-12T22:15:17.056014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:17.167423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
84.6%
986 1
 
3.8%
3472 1
 
3.8%
929 1
 
3.8%
523 1
 
3.8%

양어장(지번수)
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
22 
1
 
2
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 22
84.6%
1 2
 
7.7%
3 2
 
7.7%

Length

2023-12-12T22:15:17.262103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:17.367995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
84.6%
1 2
 
7.7%
3 2
 
7.7%

수도용지(면적)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3269.6923
Minimum0
Maximum71548
Zeros18
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:17.459216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353
95-th percentile5599.5
Maximum71548
Range71548
Interquartile range (IQR)53

Descriptive statistics

Standard deviation14004.632
Coefficient of variation (CV)4.2831651
Kurtosis25.34758
Mean3269.6923
Median Absolute Deviation (MAD)0
Skewness5.0102199
Sum85012
Variance1.9612972 × 108
MonotonicityNot monotonic
2023-12-12T22:15:17.554043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 18
69.2%
180 1
 
3.8%
54 1
 
3.8%
71548 1
 
3.8%
50 1
 
3.8%
2288 1
 
3.8%
5910 1
 
3.8%
4668 1
 
3.8%
314 1
 
3.8%
ValueCountFrequency (%)
0 18
69.2%
50 1
 
3.8%
54 1
 
3.8%
180 1
 
3.8%
314 1
 
3.8%
2288 1
 
3.8%
4668 1
 
3.8%
5910 1
 
3.8%
71548 1
 
3.8%
ValueCountFrequency (%)
71548 1
 
3.8%
5910 1
 
3.8%
4668 1
 
3.8%
2288 1
 
3.8%
314 1
 
3.8%
180 1
 
3.8%
54 1
 
3.8%
50 1
 
3.8%
0 18
69.2%
Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
18 
1
2
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
69.2%
1 4
 
15.4%
2 2
 
7.7%
3 2
 
7.7%

Length

2023-12-12T22:15:17.672524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:17.767175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
69.2%
1 4
 
15.4%
2 2
 
7.7%
3 2
 
7.7%

공원(면적)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25764.123
Minimum0
Maximum120191.7
Zeros10
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:17.853749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5616.05
Q351355.1
95-th percentile90861.525
Maximum120191.7
Range120191.7
Interquartile range (IQR)51355.1

Descriptive statistics

Standard deviation34272.988
Coefficient of variation (CV)1.3302602
Kurtosis1.0203315
Mean25764.123
Median Absolute Deviation (MAD)5616.05
Skewness1.3118444
Sum669867.2
Variance1.1746377 × 109
MonotonicityNot monotonic
2023-12-12T22:15:18.004205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 10
38.5%
59521.2 1
 
3.8%
1985.2 1
 
3.8%
740.0 1
 
3.8%
97014.7 1
 
3.8%
59320.9 1
 
3.8%
56205.6 1
 
3.8%
33450.7 1
 
3.8%
6733.6 1
 
3.8%
10029.1 1
 
3.8%
Other values (7) 7
26.9%
ValueCountFrequency (%)
0.0 10
38.5%
740.0 1
 
3.8%
1985.2 1
 
3.8%
4498.5 1
 
3.8%
6733.6 1
 
3.8%
10029.1 1
 
3.8%
26586.4 1
 
3.8%
27788.8 1
 
3.8%
33450.7 1
 
3.8%
37388.0 1
 
3.8%
ValueCountFrequency (%)
120191.7 1
3.8%
97014.7 1
3.8%
72402.0 1
3.8%
59521.2 1
3.8%
59320.9 1
3.8%
56205.6 1
3.8%
56010.8 1
3.8%
37388.0 1
3.8%
33450.7 1
3.8%
27788.8 1
3.8%

공원(지번수)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10
Minimum0
Maximum71
Zeros10
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:18.151785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q313.5
95-th percentile40.25
Maximum71
Range71
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation16.373149
Coefficient of variation (CV)1.6373149
Kurtosis7.6073915
Mean10
Median Absolute Deviation (MAD)4
Skewness2.6069816
Sum260
Variance268.08
MonotonicityNot monotonic
2023-12-12T22:15:18.311678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 10
38.5%
5 2
 
7.7%
45 1
 
3.8%
1 1
 
3.8%
7 1
 
3.8%
6 1
 
3.8%
12 1
 
3.8%
18 1
 
3.8%
14 1
 
3.8%
15 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 10
38.5%
1 1
 
3.8%
2 1
 
3.8%
3 1
 
3.8%
5 2
 
7.7%
6 1
 
3.8%
7 1
 
3.8%
9 1
 
3.8%
12 1
 
3.8%
14 1
 
3.8%
ValueCountFrequency (%)
71 1
3.8%
45 1
3.8%
26 1
3.8%
21 1
3.8%
18 1
3.8%
15 1
3.8%
14 1
3.8%
12 1
3.8%
9 1
3.8%
7 1
3.8%

체육용지(면적)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341109.41
Minimum0
Maximum4700885.5
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:18.436917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12200
median10348
Q352658
95-th percentile1325543.4
Maximum4700885.5
Range4700885.5
Interquartile range (IQR)50458

Descriptive statistics

Standard deviation963438.74
Coefficient of variation (CV)2.8244273
Kurtosis18.054141
Mean341109.41
Median Absolute Deviation (MAD)10348
Skewness4.0644555
Sum8868844.7
Variance9.2821421 × 1011
MonotonicityNot monotonic
2023-12-12T22:15:18.556370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 6
23.1%
28580.0 1
 
3.8%
4446.0 1
 
3.8%
60018.0 1
 
3.8%
1469565.2 1
 
3.8%
4700885.5 1
 
3.8%
14958.0 1
 
3.8%
7782.0 1
 
3.8%
1530.0 1
 
3.8%
10740.0 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
0.0 6
23.1%
1530.0 1
 
3.8%
4210.0 1
 
3.8%
4446.0 1
 
3.8%
5348.0 1
 
3.8%
7782.0 1
 
3.8%
9157.0 1
 
3.8%
9956.0 1
 
3.8%
10740.0 1
 
3.8%
14577.0 1
 
3.8%
ValueCountFrequency (%)
4700885.5 1
3.8%
1469565.2 1
3.8%
893478.0 1
3.8%
768457.0 1
3.8%
757439.0 1
3.8%
60018.0 1
3.8%
59857.0 1
3.8%
31061.0 1
3.8%
28580.0 1
3.8%
16800.0 1
3.8%

체육용지(지번수)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.230769
Minimum0
Maximum244
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:18.681024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile44
Maximum244
Range244
Interquartile range (IQR)13

Descriptive statistics

Standard deviation47.7077
Coefficient of variation (CV)2.616878
Kurtosis22.137089
Mean18.230769
Median Absolute Deviation (MAD)3
Skewness4.5758608
Sum474
Variance2276.0246
MonotonicityNot monotonic
2023-12-12T22:15:18.804944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 6
23.1%
2 4
15.4%
14 2
 
7.7%
35 2
 
7.7%
1 2
 
7.7%
3 2
 
7.7%
9 1
 
3.8%
11 1
 
3.8%
47 1
 
3.8%
8 1
 
3.8%
Other values (4) 4
15.4%
ValueCountFrequency (%)
0 6
23.1%
1 2
 
7.7%
2 4
15.4%
3 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%
9 1
 
3.8%
11 1
 
3.8%
14 2
 
7.7%
16 1
 
3.8%
ValueCountFrequency (%)
244 1
3.8%
47 1
3.8%
35 2
7.7%
19 1
3.8%
16 1
3.8%
14 2
7.7%
11 1
3.8%
9 1
3.8%
8 1
3.8%
6 1
3.8%

유원지(면적)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean945.15385
Minimum0
Maximum11526
Zeros21
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:18.928180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5243.75
Maximum11526
Range11526
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2587.4588
Coefficient of variation (CV)2.737606
Kurtosis11.520826
Mean945.15385
Median Absolute Deviation (MAD)0
Skewness3.2768943
Sum24574
Variance6694943
MonotonicityNot monotonic
2023-12-12T22:15:19.037499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
80.8%
5536 1
 
3.8%
330 1
 
3.8%
4367 1
 
3.8%
2815 1
 
3.8%
11526 1
 
3.8%
ValueCountFrequency (%)
0 21
80.8%
330 1
 
3.8%
2815 1
 
3.8%
4367 1
 
3.8%
5536 1
 
3.8%
11526 1
 
3.8%
ValueCountFrequency (%)
11526 1
 
3.8%
5536 1
 
3.8%
4367 1
 
3.8%
2815 1
 
3.8%
330 1
 
3.8%
0 21
80.8%

유원지(지번수)
Categorical

IMBALANCE 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
21 
6
 
2
1
 
1
5
 
1
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)11.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
80.8%
6 2
 
7.7%
1 1
 
3.8%
5 1
 
3.8%
9 1
 
3.8%

Length

2023-12-12T22:15:19.154499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:19.290721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
80.8%
6 2
 
7.7%
1 1
 
3.8%
5 1
 
3.8%
9 1
 
3.8%

종교용지(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29698.742
Minimum1380
Maximum154214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:19.429604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1380
5-th percentile2881.975
Q19459.75
median17058
Q327589.5
95-th percentile95291.25
Maximum154214
Range152834
Interquartile range (IQR)18129.75

Descriptive statistics

Standard deviation36727.479
Coefficient of variation (CV)1.2366678
Kurtosis4.7091565
Mean29698.742
Median Absolute Deviation (MAD)8600.5
Skewness2.2159347
Sum772167.3
Variance1.3489077 × 109
MonotonicityNot monotonic
2023-12-12T22:15:19.595803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7222.0 1
 
3.8%
16066.0 1
 
3.8%
12619.0 1
 
3.8%
5608.0 1
 
3.8%
154214.0 1
 
3.8%
96340.0 1
 
3.8%
92145.0 1
 
3.8%
87954.0 1
 
3.8%
18050.0 1
 
3.8%
9636.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1380.0 1
3.8%
1973.3 1
3.8%
5608.0 1
3.8%
6797.0 1
3.8%
7222.0 1
3.8%
7514.0 1
3.8%
9401.0 1
3.8%
9636.0 1
3.8%
11882.0 1
3.8%
12150.0 1
3.8%
ValueCountFrequency (%)
154214.0 1
3.8%
96340.0 1
3.8%
92145.0 1
3.8%
87954.0 1
3.8%
41683.0 1
3.8%
30545.0 1
3.8%
28833.0 1
3.8%
23859.0 1
3.8%
21235.0 1
3.8%
20989.0 1
3.8%

종교용지(지번수)
Real number (ℝ)

Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.076923
Minimum2
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:19.739897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q19
median15
Q326.5
95-th percentile85
Maximum89
Range87
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation24.200699
Coefficient of variation (CV)1.0051409
Kurtosis2.8865159
Mean24.076923
Median Absolute Deviation (MAD)6.5
Skewness1.9052834
Sum626
Variance585.67385
MonotonicityNot monotonic
2023-12-12T22:15:19.887390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9 3
 
11.5%
15 2
 
7.7%
14 2
 
7.7%
89 2
 
7.7%
7 2
 
7.7%
19 2
 
7.7%
12 1
 
3.8%
13 1
 
3.8%
34 1
 
3.8%
45 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
2 1
 
3.8%
3 1
 
3.8%
7 2
7.7%
8 1
 
3.8%
9 3
11.5%
12 1
 
3.8%
13 1
 
3.8%
14 2
7.7%
15 2
7.7%
17 1
 
3.8%
ValueCountFrequency (%)
89 2
7.7%
73 1
3.8%
45 1
3.8%
34 1
3.8%
32 1
3.8%
27 1
3.8%
25 1
3.8%
20 1
3.8%
19 2
7.7%
17 1
3.8%

사적지(면적)
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
24 
5351
 
1
215261
 
1

Length

Max length6
Median length1
Mean length1.3076923
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
92.3%
5351 1
 
3.8%
215261 1
 
3.8%

Length

2023-12-12T22:15:20.029234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:20.158446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
92.3%
5351 1
 
3.8%
215261 1
 
3.8%

사적지(지번수)
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
24 
2
 
1
95
 
1

Length

Max length2
Median length1
Mean length1.0384615
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
92.3%
2 1
 
3.8%
95 1
 
3.8%

Length

2023-12-12T22:15:20.273854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:20.395917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
92.3%
2 1
 
3.8%
95 1
 
3.8%

묘지(면적)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95897.419
Minimum0
Maximum878097
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:20.517028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile104.25
Q11490.75
median21983
Q376936.375
95-th percentile497524.5
Maximum878097
Range878097
Interquartile range (IQR)75445.625

Descriptive statistics

Standard deviation200595.75
Coefficient of variation (CV)2.0917742
Kurtosis10.359765
Mean95897.419
Median Absolute Deviation (MAD)21774.5
Skewness3.1864387
Sum2493332.9
Variance4.0238655 × 1010
MonotonicityNot monotonic
2023-12-12T22:15:20.658618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 2
 
7.7%
423.0 1
 
3.8%
80990.5 1
 
3.8%
139430.0 1
 
3.8%
64774.0 1
 
3.8%
153816.0 1
 
3.8%
112770.4 1
 
3.8%
50658.0 1
 
3.8%
25648.0 1
 
3.8%
595574.0 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
0.0 2
7.7%
417.0 1
3.8%
423.0 1
3.8%
426.0 1
3.8%
1251.0 1
3.8%
1463.0 1
3.8%
1574.0 1
3.8%
1645.0 1
3.8%
1920.0 1
3.8%
3268.0 1
3.8%
ValueCountFrequency (%)
878097.0 1
3.8%
595574.0 1
3.8%
203376.0 1
3.8%
153816.0 1
3.8%
139430.0 1
3.8%
112770.4 1
3.8%
80990.5 1
3.8%
64774.0 1
3.8%
56200.0 1
3.8%
56176.0 1
3.8%

묘지(지번수)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.269231
Minimum0
Maximum56
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:20.789391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q11.25
median5
Q322
95-th percentile39.75
Maximum56
Range56
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation15.449421
Coefficient of variation (CV)1.1643042
Kurtosis0.83791898
Mean13.269231
Median Absolute Deviation (MAD)4
Skewness1.2754013
Sum345
Variance238.68462
MonotonicityNot monotonic
2023-12-12T22:15:20.908490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 5
19.2%
4 3
11.5%
0 2
 
7.7%
5 2
 
7.7%
33 2
 
7.7%
22 2
 
7.7%
16 1
 
3.8%
11 1
 
3.8%
2 1
 
3.8%
8 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 2
 
7.7%
1 5
19.2%
2 1
 
3.8%
3 1
 
3.8%
4 3
11.5%
5 2
 
7.7%
8 1
 
3.8%
9 1
 
3.8%
11 1
 
3.8%
16 1
 
3.8%
ValueCountFrequency (%)
56 1
3.8%
42 1
3.8%
33 2
7.7%
31 1
3.8%
30 1
3.8%
22 2
7.7%
16 1
3.8%
11 1
3.8%
9 1
3.8%
8 1
3.8%

잡종지(면적)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172022.87
Minimum13439.7
Maximum943128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:21.030599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13439.7
5-th percentile18516.5
Q139724.75
median81124.15
Q3168354.5
95-th percentile585664.57
Maximum943128
Range929688.3
Interquartile range (IQR)128629.75

Descriptive statistics

Standard deviation221995.69
Coefficient of variation (CV)1.290501
Kurtosis5.2065112
Mean172022.87
Median Absolute Deviation (MAD)45828.65
Skewness2.2280963
Sum4472594.7
Variance4.9282084 × 1010
MonotonicityNot monotonic
2023-12-12T22:15:21.169472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
17786.0 1
 
3.8%
94191.0 1
 
3.8%
64480.0 1
 
3.8%
148586.0 1
 
3.8%
384405.0 1
 
3.8%
320101.6 1
 
3.8%
622575.2 1
 
3.8%
474932.7 1
 
3.8%
334399.0 1
 
3.8%
943128.0 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
13439.7 1
3.8%
17786.0 1
3.8%
20708.0 1
3.8%
21614.0 1
3.8%
34743.0 1
3.8%
35848.0 1
3.8%
36090.0 1
3.8%
50629.0 1
3.8%
53355.0 1
3.8%
55799.0 1
3.8%
ValueCountFrequency (%)
943128.0 1
3.8%
622575.2 1
3.8%
474932.7 1
3.8%
384405.0 1
3.8%
334399.0 1
3.8%
320101.6 1
3.8%
174944.0 1
3.8%
148586.0 1
3.8%
124591.0 1
3.8%
116423.2 1
3.8%

잡종지(지번수)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.30769
Minimum23
Maximum724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T22:15:21.318158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile46
Q164.25
median123.5
Q3206
95-th percentile545.5
Maximum724
Range701
Interquartile range (IQR)141.75

Descriptive statistics

Standard deviation173.5504
Coefficient of variation (CV)0.95721477
Kurtosis3.3580118
Mean181.30769
Median Absolute Deviation (MAD)67.5
Skewness1.8955937
Sum4714
Variance30119.742
MonotonicityNot monotonic
2023-12-12T22:15:21.449739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
160 2
 
7.7%
23 1
 
3.8%
169 1
 
3.8%
128 1
 
3.8%
119 1
 
3.8%
320 1
 
3.8%
574 1
 
3.8%
724 1
 
3.8%
353 1
 
3.8%
460 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
23 1
3.8%
45 1
3.8%
49 1
3.8%
52 1
3.8%
53 1
3.8%
59 1
3.8%
61 1
3.8%
74 1
3.8%
81 1
3.8%
89 1
3.8%
ValueCountFrequency (%)
724 1
3.8%
574 1
3.8%
460 1
3.8%
353 1
3.8%
320 1
3.8%
210 1
3.8%
207 1
3.8%
203 1
3.8%
169 1
3.8%
160 2
7.7%

Sample

토지소재지면적지번수전(면적)전(지번수)답(면적)답(지번수)과수원(면적)과수원(지번수)목장용지(면적)목장용지(지번수)임야(면적)임야(지번수)광천(면적)광천(지번수)염전(면적)염전(지번)수대(면적)대(지번수)공장용지(면적)공장용지(지번수)학교용지(면적)학교용지(지번수)주차장(면적)주차장(지번수)주요소용지(면적)주유소용지(지번수)창고용지(면적)창고용지(지번수)도로(면적)도로(지번수)철도용지(면적)철도용지(지번수)제방(면적)제방(지번수)하천(면적)하천(지번수)구거(면적)구거(지번수)유지(면적)유지(지번수)양어장(면적)양어장(지번수)수도용지(면적)수도용지(지번수)공원(면적)공원(지번수)체육용지(면적)체육용지(지번수)유원지(면적)유원지(지번수)종교용지(면적)종교용지(지번수)사적지(면적)사적지(지번수)묘지(면적)묘지(지번수)잡종지(면적)잡종지(지번수)
010100-경안동1348001.3438862841.035142346.022695304200221503.02160000523346.723522392.012104024.0294142.712261850.00160082.78390064012576768.08918717.01000.0000180159521.24528580.09007222.012000.0017786.023
110200-쌍령동3340185.52913140684.043394270.02521144718131931833703.03880000622312.585119371.04336867.834229.070022489.014200119.26070000172203.08636928.0980.000054272402.090.000020735.0900423.0150629.089
210300-송정동5092969.35588128739.0584124402.0362188332692522666189.059500001056821.8203342939.044123844.31010389.92011607840525.021385942.313250000127299.221124559.079327.010071548327788.82131061.0140023859.02500426.01174944.0203
310400-회덕동3521219.03065159720.025960199.013117631441112483565.04070000420575.088474501.01090.00902.02269117938.02385345.0811000048973.014135385.0810.0000000.000.00006797.09003268.02106140.0160
410500-탄벌동4451169.54181322323.0642252731.06402024339330642636250.05340000606182.598032601.04643509.06689.041755314973.030167128.0784002916769498.013848011.01333178.07000037388.0516800.011009401.0200037696.016124591.0132
510600-목현동8900520.03909340896.0382129984.02301852416136309281.05810000629546.0124269796.0674582.031061.05197124460.034232588.01072000056790.072104586.0841006.01005010.00893478.0470020989.0150056176.02220708.045
610700-삼동4244658.92689163828.029492150.020100231252414160.03800000363831.970431204.0500.001582.055446235195.049265973.0798225860018961.03731061.0280.0000000.00768457.0350012150.014000.0036090.081
710800-중대동3744111.02438148874.022274144.015000002343595.01970000261241.0586111453.011621797.03293.032876386273.092303708.0775982495911185142.09925865.047128983.04000000.009956.015536614247.080056200.0153355.074
810900-직동5952865.02437197544.0342154135.018659411321024955414.0555000098918.0213223256.02720.000.000079965.088114423.05511633140044898.08138485.0580.0000000.000.00001380.02001920.0134743.059
911000-태전동4912154.34561133949.041476236.1244008707182441423.14900000988261.81029418663.445337400.952234.03677392124.092356029.012520000120281.019814842.055201.020000120191.7714210.020019090.01500417.0577216.3210
토지소재지면적지번수전(면적)전(지번수)답(면적)답(지번수)과수원(면적)과수원(지번수)목장용지(면적)목장용지(지번수)임야(면적)임야(지번수)광천(면적)광천(지번수)염전(면적)염전(지번)수대(면적)대(지번수)공장용지(면적)공장용지(지번수)학교용지(면적)학교용지(지번수)주차장(면적)주차장(지번수)주요소용지(면적)주유소용지(지번수)창고용지(면적)창고용지(지번수)도로(면적)도로(지번수)철도용지(면적)철도용지(지번수)제방(면적)제방(지번수)하천(면적)하천(지번수)구거(면적)구거(지번수)유지(면적)유지(지번수)양어장(면적)양어장(지번수)수도용지(면적)수도용지(지번수)공원(면적)공원(지번수)체육용지(면적)체육용지(지번수)유원지(면적)유원지(지번수)종교용지(면적)종교용지(지번수)사적지(면적)사적지(지번수)묘지(면적)묘지(지번수)잡종지(면적)잡종지(지번수)
1611700-문형동7575078.26665404631.0664431243.076749904003882241.07100000697139.11007722794.07230.001995.6462246418031.9317335671.918660000219121.022796495.01402171.3100001985.210.000030545.01300203376.08116423.2207
1711800-추자동3837080.03885352785.0609453228.05182605611302771631269.04440000324612.9586303917.028613983.01269.0257419277762.0190173424.59380026187920.011066530.0880.0000006733.6510740.010041683.027001574.0355799.049
1811900-매산동7267324.03918196848.0295257442.03791002395443774533.02360000427693.0753459534.04390.000.00741274656.087153781.09410054838260640.0167101744.0125307.0100000.001530.03009636.0700595574.09943128.0460
1912000-양벌동7826045.46525454562.0794807924.093186829147843884063.04980000928206.11437379800.032526414.05313.011350558405.064309678.6143814894317153433956.039095509.0180436.02000033450.7147782.016330118050.0190025648.05334399.0353
2025300-초월읍55890572.5314853067358.043413014270.035231034792710773212035362379.8312800003338653.057392844865.3281589264.51715061.917413712957497.57012787817.27912267076612487662814357.91360644590.77489539.4159861314256205.61814958.064367587954.0890050658.033474932.7724
2125900-곤지암읍76167756.4368655308166.463734634777.35440116361632931318447770285.2460100002931220.252002819988.02342230571.05313348.0351432020805668.74712998524.68811512961244861131804492.91307841172.18984132.06347230059320.9124700885.52442815992145.07300112770.456622575.2574
2233000-도척면52156428.2239563552927.039883712658.03542530913130113713134324670.5278700001954776.636381753708.0139428607.068647.0111019920820885.74511608641.85175005951151199.61498627943.6744109510.98492930097014.761469565.2350096340.04500153816.042320101.6320
2334000-퇴촌면60700191.8209713235908.136982689290.7351787218601210321946234934.0324900001982932.3430616382.02733124.078490.0108470947645.0581026961.840230049134431552039.0606465869.93632471259.06680000740.0760018.01900154214.0895351264774.031384405.0160
2435000-남종면48573174.297472274362.121992163905.4208370740170033149003.016870000493647.714330.0022102.07300.01007739.051454465.7107200003852213.0106414864.61525376207.778400000.000.00005608.01400139430.022148586.0119
2537000-남한산성면33738591.3131272736075.433411331543.21767738125160511325916363.127410000498150.914310.0027840.01116720.0390019702.0691646890.025530000616417.4416438611.838720569.0115231000.004446.0311526612619.0342152619580990.53064480.0128