Overview

Dataset statistics

Number of variables59
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory532.0 B

Variable types

Text1
Numeric50
Categorical8

Dataset

Description전북특별자치도 군산시 내의 현재 지목 및 통계 데이터로써 지목현황, 면적, 지번수 등의 공간자료 현황을 제공하여 드립니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15112751/fileData.do

Alerts

광천면적 has constant value ""Constant
광천지번수 has constant value ""Constant
염전면적 is highly imbalanced (79.8%)Imbalance
염전지번수 is highly imbalanced (79.8%)Imbalance
유원지면적 is highly imbalanced (79.8%)Imbalance
유원지지번수 is highly imbalanced (78.2%)Imbalance
사적지면적 is highly imbalanced (85.2%)Imbalance
사적지지번수 is highly imbalanced (85.2%)Imbalance
토지소재지 has unique valuesUnique
총면적 has unique valuesUnique
총지번수 has unique valuesUnique
대면적 has unique valuesUnique
도로면적 has unique valuesUnique
전면적 has 19 (30.2%) zerosZeros
전지번수 has 19 (30.2%) zerosZeros
답면적 has 32 (50.8%) zerosZeros
답지번수 has 32 (50.8%) zerosZeros
과수원면적 has 53 (84.1%) zerosZeros
과수원지번수 has 53 (84.1%) zerosZeros
목장용지면적 has 50 (79.4%) zerosZeros
목장용지지번수 has 50 (79.4%) zerosZeros
임야면적 has 26 (41.3%) zerosZeros
임야지번수 has 26 (41.3%) zerosZeros
공장용지면적 has 27 (42.9%) zerosZeros
공장용지지번수 has 27 (42.9%) zerosZeros
학교용지면적 has 22 (34.9%) zerosZeros
학교용지지번수 has 22 (34.9%) zerosZeros
주차장면적 has 15 (23.8%) zerosZeros
주차장지번수 has 15 (23.8%) zerosZeros
주유소용지면적 has 29 (46.0%) zerosZeros
주유소용지지번수 has 29 (46.0%) zerosZeros
창고용지면적 has 36 (57.1%) zerosZeros
창고용지지번수 has 36 (57.1%) zerosZeros
철도용지면적 has 41 (65.1%) zerosZeros
철도용지지번수 has 41 (65.1%) zerosZeros
제방면적 has 36 (57.1%) zerosZeros
제방지번수 has 36 (57.1%) zerosZeros
하천면적 has 41 (65.1%) zerosZeros
하천지번수 has 41 (65.1%) zerosZeros
구거면적 has 22 (34.9%) zerosZeros
구거지번수 has 22 (34.9%) zerosZeros
유지면적 has 40 (63.5%) zerosZeros
유지지번수 has 40 (63.5%) zerosZeros
양어장면적 has 53 (84.1%) zerosZeros
양어장지번수 has 53 (84.1%) zerosZeros
수도용지면적 has 37 (58.7%) zerosZeros
수도용지지번수 has 37 (58.7%) zerosZeros
공원면적 has 31 (49.2%) zerosZeros
공원지번수 has 31 (49.2%) zerosZeros
체육용지면적 has 50 (79.4%) zerosZeros
체육용지지번수 has 50 (79.4%) zerosZeros
종교용지면적 has 16 (25.4%) zerosZeros
종교용지지번수 has 16 (25.4%) zerosZeros
묘지면적 has 34 (54.0%) zerosZeros
묘지지번수 has 34 (54.0%) zerosZeros
잡종지면적 has 18 (28.6%) zerosZeros
잡종지지번수 has 18 (28.6%) zerosZeros

Reproduction

Analysis started2024-03-14 13:18:11.247339
Analysis finished2024-03-14 13:18:11.917049
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-14T22:18:12.839333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1111111
Min length2

Characters and Unicode

Total characters196
Distinct characters73
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row해망동
2nd row신흥동
3rd row금동
4th row월명동
5th row신창동
ValueCountFrequency (%)
해망동 1
 
1.6%
서흥남동 1
 
1.6%
경장동 1
 
1.6%
경암동 1
 
1.6%
구암동 1
 
1.6%
내흥동 1
 
1.6%
개정동 1
 
1.6%
사정동 1
 
1.6%
수송동 1
 
1.6%
미장동 1
 
1.6%
Other values (53) 53
84.1%
2024-03-14T22:18:14.362365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
25.5%
10
 
5.1%
5
 
2.6%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
Other values (63) 103
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
98.5%
Decimal Number 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
25.9%
10
 
5.2%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (60) 100
51.8%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
3 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
98.5%
Common 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
25.9%
10
 
5.2%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (60) 100
51.8%
Common
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
3 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
98.5%
ASCII 3
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50
25.9%
10
 
5.2%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (60) 100
51.8%
ASCII
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
3 1
33.3%

총면적
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6316560.9
Minimum16823.2
Maximum38355699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:14.791995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16823.2
5-th percentile34951.58
Q1111013.5
median491611.3
Q36284407.8
95-th percentile30712513
Maximum38355699
Range38338876
Interquartile range (IQR)6173394.3

Descriptive statistics

Standard deviation10637673
Coefficient of variation (CV)1.6840926
Kurtosis2.4546704
Mean6316560.9
Median Absolute Deviation (MAD)459398.3
Skewness1.8605407
Sum3.9794334 × 108
Variance1.131601 × 1014
MonotonicityNot monotonic
2024-03-14T22:18:15.239135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2595231.3 1
 
1.6%
148959.5 1
 
1.6%
491611.3 1
 
1.6%
1217052.1 1
 
1.6%
1877760.9 1
 
1.6%
3753873.1 1
 
1.6%
3059048.0 1
 
1.6%
2052625.0 1
 
1.6%
2246874.8 1
 
1.6%
1426611.1 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
16823.2 1
1.6%
32213.0 1
1.6%
34173.9 1
1.6%
34597.0 1
1.6%
38142.8 1
1.6%
43899.7 1
1.6%
49090.1 1
1.6%
58629.1 1
1.6%
63087.9 1
1.6%
73254.7 1
1.6%
ValueCountFrequency (%)
38355699.0 1
1.6%
38273806.0 1
1.6%
37818561.2 1
1.6%
31079972.3 1
1.6%
27405382.0 1
1.6%
24238021.9 1
1.6%
23555088.6 1
1.6%
21967302.3 1
1.6%
20883809.8 1
1.6%
16803701.3 1
1.6%

총지번수
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4173.2698
Minimum131
Maximum26229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:15.674814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile210.2
Q1491
median1253
Q33479.5
95-th percentile18171.1
Maximum26229
Range26098
Interquartile range (IQR)2988.5

Descriptive statistics

Standard deviation6270.3266
Coefficient of variation (CV)1.5024973
Kurtosis2.5375494
Mean4173.2698
Median Absolute Deviation (MAD)994
Skewness1.8917078
Sum262916
Variance39316996
MonotonicityNot monotonic
2024-03-14T22:18:16.146021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1408 1
 
1.6%
792 1
 
1.6%
964 1
 
1.6%
2397 1
 
1.6%
2503 1
 
1.6%
3399 1
 
1.6%
3661 1
 
1.6%
1897 1
 
1.6%
3455 1
 
1.6%
1512 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
131 1
1.6%
188 1
1.6%
190 1
1.6%
210 1
1.6%
212 1
1.6%
220 1
1.6%
259 1
1.6%
284 1
1.6%
301 1
1.6%
302 1
1.6%
ValueCountFrequency (%)
26229 1
1.6%
19372 1
1.6%
18313 1
1.6%
18187 1
1.6%
18028 1
1.6%
17951 1
1.6%
16162 1
1.6%
15043 1
1.6%
13398 1
1.6%
11913 1
1.6%

전면적
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315388.73
Minimum0
Maximum2500864.7
Zeros19
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:16.591854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11886
Q3306396
95-th percentile1859696.4
Maximum2500864.7
Range2500864.7
Interquartile range (IQR)306396

Descriptive statistics

Standard deviation619812.79
Coefficient of variation (CV)1.9652344
Kurtosis4.5585739
Mean315388.73
Median Absolute Deviation (MAD)11886
Skewness2.2989607
Sum19869490
Variance3.8416789 × 1011
MonotonicityNot monotonic
2024-03-14T22:18:17.042579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 19
30.2%
11886.0 1
 
1.6%
727786.0 1
 
1.6%
190298.0 1
 
1.6%
188065.0 1
 
1.6%
326185.0 1
 
1.6%
18623.1 1
 
1.6%
358830.0 1
 
1.6%
286607.0 1
 
1.6%
425923.8 1
 
1.6%
Other values (35) 35
55.6%
ValueCountFrequency (%)
0.0 19
30.2%
46.3 1
 
1.6%
71.5 1
 
1.6%
119.0 1
 
1.6%
163.0 1
 
1.6%
1513.4 1
 
1.6%
3661.2 1
 
1.6%
3908.0 1
 
1.6%
4491.0 1
 
1.6%
5444.0 1
 
1.6%
ValueCountFrequency (%)
2500864.7 1
1.6%
2487614.2 1
1.6%
1906309.0 1
1.6%
1888570.9 1
1.6%
1599826.0 1
1.6%
1493468.2 1
1.6%
1299237.1 1
1.6%
1019924.9 1
1.6%
893392.8 1
1.6%
847584.4 1
1.6%

전지번수
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean561.31746
Minimum0
Maximum3766
Zeros19
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:17.452249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median63
Q3515
95-th percentile2974.7
Maximum3766
Range3766
Interquartile range (IQR)515

Descriptive statistics

Standard deviation994.69768
Coefficient of variation (CV)1.7720769
Kurtosis2.9560913
Mean561.31746
Median Absolute Deviation (MAD)63
Skewness2.0032576
Sum35363
Variance989423.48
MonotonicityNot monotonic
2024-03-14T22:18:17.876184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 19
30.2%
1 3
 
4.8%
63 2
 
3.2%
29 2
 
3.2%
134 1
 
1.6%
555 1
 
1.6%
447 1
 
1.6%
954 1
 
1.6%
193 1
 
1.6%
2574 1
 
1.6%
Other values (31) 31
49.2%
ValueCountFrequency (%)
0 19
30.2%
1 3
 
4.8%
2 1
 
1.6%
17 1
 
1.6%
18 1
 
1.6%
24 1
 
1.6%
29 2
 
3.2%
32 1
 
1.6%
39 1
 
1.6%
53 1
 
1.6%
ValueCountFrequency (%)
3766 1
1.6%
3618 1
1.6%
3130 1
1.6%
2983 1
1.6%
2900 1
1.6%
2574 1
1.6%
2316 1
1.6%
1967 1
1.6%
1637 1
1.6%
1479 1
1.6%

답면적
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2059472
Minimum0
Maximum23419900
Zeros32
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:18.266059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3911993.5
95-th percentile10268649
Maximum23419900
Range23419900
Interquartile range (IQR)911993.5

Descriptive statistics

Standard deviation4561262.6
Coefficient of variation (CV)2.2147728
Kurtosis8.4436532
Mean2059472
Median Absolute Deviation (MAD)0
Skewness2.788958
Sum1.2974674 × 108
Variance2.0805116 × 1013
MonotonicityNot monotonic
2024-03-14T22:18:18.659172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 32
50.8%
1369188.0 1
 
1.6%
5675395.6 1
 
1.6%
520109.9 1
 
1.6%
7521366.0 1
 
1.6%
5027011.7 1
 
1.6%
8376882.0 1
 
1.6%
23419900.3 1
 
1.6%
10412351.9 1
 
1.6%
8563909.8 1
 
1.6%
Other values (22) 22
34.9%
ValueCountFrequency (%)
0.0 32
50.8%
579.0 1
 
1.6%
1116.0 1
 
1.6%
1877.0 1
 
1.6%
3007.0 1
 
1.6%
9084.0 1
 
1.6%
30076.0 1
 
1.6%
42705.0 1
 
1.6%
97600.0 1
 
1.6%
123248.2 1
 
1.6%
ValueCountFrequency (%)
23419900.3 1
1.6%
15306786.3 1
1.6%
15116314.0 1
1.6%
10412351.9 1
1.6%
8975327.0 1
1.6%
8712928.7 1
1.6%
8563909.8 1
1.6%
8376882.0 1
1.6%
7521366.0 1
1.6%
5675395.6 1
1.6%

답지번수
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean943.4127
Minimum0
Maximum9676
Zeros32
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:19.040386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3643
95-th percentile4769
Maximum9676
Range9676
Interquartile range (IQR)643

Descriptive statistics

Standard deviation1917.285
Coefficient of variation (CV)2.0322866
Kurtosis6.83984
Mean943.4127
Median Absolute Deviation (MAD)0
Skewness2.5235772
Sum59435
Variance3675981.9
MonotonicityNot monotonic
2024-03-14T22:18:19.432250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 32
50.8%
3 2
 
3.2%
1231 1
 
1.6%
2471 1
 
1.6%
579 1
 
1.6%
3636 1
 
1.6%
3379 1
 
1.6%
4834 1
 
1.6%
9676 1
 
1.6%
3911 1
 
1.6%
Other values (21) 21
33.3%
ValueCountFrequency (%)
0 32
50.8%
3 2
 
3.2%
12 1
 
1.6%
15 1
 
1.6%
49 1
 
1.6%
80 1
 
1.6%
116 1
 
1.6%
138 1
 
1.6%
281 1
 
1.6%
299 1
 
1.6%
ValueCountFrequency (%)
9676 1
1.6%
5788 1
1.6%
5713 1
1.6%
4834 1
1.6%
4184 1
1.6%
4098 1
1.6%
3911 1
1.6%
3876 1
1.6%
3636 1
1.6%
3379 1
1.6%

과수원면적
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2614.6825
Minimum0
Maximum79198
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:19.788321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12139.4
Maximum79198
Range79198
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10654.086
Coefficient of variation (CV)4.0747149
Kurtosis44.605045
Mean2614.6825
Median Absolute Deviation (MAD)0
Skewness6.3516891
Sum164725
Variance1.1350955 × 108
MonotonicityNot monotonic
2024-03-14T22:18:20.171944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 53
84.1%
4543 1
 
1.6%
16155 1
 
1.6%
1636 1
 
1.6%
23198 1
 
1.6%
12191 1
 
1.6%
11675 1
 
1.6%
4959 1
 
1.6%
79198 1
 
1.6%
4684 1
 
1.6%
ValueCountFrequency (%)
0 53
84.1%
1636 1
 
1.6%
4543 1
 
1.6%
4684 1
 
1.6%
4959 1
 
1.6%
6486 1
 
1.6%
11675 1
 
1.6%
12191 1
 
1.6%
16155 1
 
1.6%
23198 1
 
1.6%
ValueCountFrequency (%)
79198 1
1.6%
23198 1
1.6%
16155 1
1.6%
12191 1
1.6%
11675 1
1.6%
6486 1
1.6%
4959 1
1.6%
4684 1
1.6%
4543 1
1.6%
1636 1
1.6%

과수원지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93650794
Minimum0
Maximum23
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:20.530469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.9
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2670052
Coefficient of variation (CV)3.4884971
Kurtosis34.48901
Mean0.93650794
Median Absolute Deviation (MAD)0
Skewness5.4498111
Sum59
Variance10.673323
MonotonicityNot monotonic
2024-03-14T22:18:20.874202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 53
84.1%
4 2
 
3.2%
2 2
 
3.2%
7 1
 
1.6%
8 1
 
1.6%
5 1
 
1.6%
1 1
 
1.6%
23 1
 
1.6%
3 1
 
1.6%
ValueCountFrequency (%)
0 53
84.1%
1 1
 
1.6%
2 2
 
3.2%
3 1
 
1.6%
4 2
 
3.2%
5 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
23 1
 
1.6%
ValueCountFrequency (%)
23 1
 
1.6%
8 1
 
1.6%
7 1
 
1.6%
5 1
 
1.6%
4 2
 
3.2%
3 1
 
1.6%
2 2
 
3.2%
1 1
 
1.6%
0 53
84.1%

목장용지면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9148.6349
Minimum0
Maximum198441
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:21.209173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32933.44
Maximum198441
Range198441
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32717.68
Coefficient of variation (CV)3.5762363
Kurtosis21.9724
Mean9148.6349
Median Absolute Deviation (MAD)0
Skewness4.5839178
Sum576364
Variance1.0704466 × 109
MonotonicityNot monotonic
2024-03-14T22:18:21.593088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 50
79.4%
1028.0 1
 
1.6%
1742.0 1
 
1.6%
6390.0 1
 
1.6%
5592.0 1
 
1.6%
20516.0 1
 
1.6%
135407.7 1
 
1.6%
198441.0 1
 
1.6%
30732.4 1
 
1.6%
17513.0 1
 
1.6%
Other values (4) 4
 
6.3%
ValueCountFrequency (%)
0.0 50
79.4%
1028.0 1
 
1.6%
1742.0 1
 
1.6%
5592.0 1
 
1.6%
6390.0 1
 
1.6%
8709.0 1
 
1.6%
13039.9 1
 
1.6%
17513.0 1
 
1.6%
20516.0 1
 
1.6%
30732.4 1
 
1.6%
ValueCountFrequency (%)
198441.0 1
1.6%
135407.7 1
1.6%
104075.0 1
1.6%
33178.0 1
1.6%
30732.4 1
1.6%
20516.0 1
1.6%
17513.0 1
1.6%
13039.9 1
1.6%
8709.0 1
1.6%
6390.0 1
1.6%

목장용지지번수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2539683
Minimum0
Maximum92
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:22.104407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.7
Maximum92
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.081414
Coefficient of variation (CV)3.060813
Kurtosis16.530226
Mean5.2539683
Median Absolute Deviation (MAD)0
Skewness3.9232797
Sum331
Variance258.61188
MonotonicityNot monotonic
2024-03-14T22:18:22.286168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 50
79.4%
4 2
 
3.2%
1 1
 
1.6%
2 1
 
1.6%
6 1
 
1.6%
29 1
 
1.6%
65 1
 
1.6%
92 1
 
1.6%
25 1
 
1.6%
15 1
 
1.6%
Other values (3) 3
 
4.8%
ValueCountFrequency (%)
0 50
79.4%
1 1
 
1.6%
2 1
 
1.6%
4 2
 
3.2%
6 1
 
1.6%
12 1
 
1.6%
15 1
 
1.6%
25 1
 
1.6%
26 1
 
1.6%
29 1
 
1.6%
ValueCountFrequency (%)
92 1
1.6%
65 1
1.6%
50 1
1.6%
29 1
1.6%
26 1
1.6%
25 1
1.6%
15 1
1.6%
12 1
1.6%
6 1
1.6%
4 2
3.2%

임야면적
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1250509.3
Minimum0
Maximum16077934
Zeros26
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:22.496681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24102
Q3495409
95-th percentile5943155.2
Maximum16077934
Range16077934
Interquartile range (IQR)495409

Descriptive statistics

Standard deviation2963476.6
Coefficient of variation (CV)2.3698157
Kurtosis11.989315
Mean1250509.3
Median Absolute Deviation (MAD)24102
Skewness3.3095185
Sum78782087
Variance8.7821935 × 1012
MonotonicityNot monotonic
2024-03-14T22:18:22.805367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 26
41.3%
229204.0 1
 
1.6%
3375373.0 1
 
1.6%
1311023.5 1
 
1.6%
204096.0 1
 
1.6%
307856.0 1
 
1.6%
350767.0 1
 
1.6%
223898.3 1
 
1.6%
4740110.0 1
 
1.6%
3569702.0 1
 
1.6%
Other values (28) 28
44.4%
ValueCountFrequency (%)
0.0 26
41.3%
1151.0 1
 
1.6%
1411.6 1
 
1.6%
1591.0 1
 
1.6%
4520.0 1
 
1.6%
15755.7 1
 
1.6%
24102.0 1
 
1.6%
28004.1 1
 
1.6%
31233.0 1
 
1.6%
40753.0 1
 
1.6%
ValueCountFrequency (%)
16077933.9 1
1.6%
10727491.0 1
1.6%
10719046.0 1
1.6%
5956186.0 1
1.6%
5825878.0 1
1.6%
4740110.0 1
1.6%
3569702.0 1
1.6%
3430844.0 1
1.6%
3389946.0 1
1.6%
3375373.0 1
1.6%

임야지번수
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.92063
Minimum0
Maximum2923
Zeros26
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:23.203903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q3336.5
95-th percentile2220.3
Maximum2923
Range2923
Interquartile range (IQR)336.5

Descriptive statistics

Standard deviation742.05191
Coefficient of variation (CV)1.87899
Kurtosis3.0004275
Mean394.92063
Median Absolute Deviation (MAD)19
Skewness2.0358315
Sum24880
Variance550641.04
MonotonicityNot monotonic
2024-03-14T22:18:23.602902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 26
41.3%
8 2
 
3.2%
19 2
 
3.2%
30 1
 
1.6%
2240 1
 
1.6%
172 1
 
1.6%
328 1
 
1.6%
497 1
 
1.6%
1835 1
 
1.6%
1369 1
 
1.6%
Other values (26) 26
41.3%
ValueCountFrequency (%)
0 26
41.3%
1 1
 
1.6%
4 1
 
1.6%
8 2
 
3.2%
15 1
 
1.6%
19 2
 
3.2%
20 1
 
1.6%
24 1
 
1.6%
30 1
 
1.6%
34 1
 
1.6%
ValueCountFrequency (%)
2923 1
1.6%
2456 1
1.6%
2323 1
1.6%
2240 1
1.6%
2043 1
1.6%
1845 1
1.6%
1835 1
1.6%
1604 1
1.6%
1369 1
1.6%
1282 1
1.6%

광천면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
63 

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 63
100.0%

Length

2024-03-14T22:18:24.009232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:24.317129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
100.0%

광천지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
63 

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 63
100.0%

Length

2024-03-14T22:18:24.632390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:24.940956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
100.0%

염전면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size632.0 B
0.0
59 
1410828.0
 
1
167938.0
 
1
230698.2
 
1
778431.0
 
1

Length

Max length9
Median length3
Mean length3.3333333
Min length3

Unique

Unique4 ?
Unique (%)6.3%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 59
93.7%
1410828.0 1
 
1.6%
167938.0 1
 
1.6%
230698.2 1
 
1.6%
778431.0 1
 
1.6%

Length

2024-03-14T22:18:25.280839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:25.630619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 59
93.7%
1410828.0 1
 
1.6%
167938.0 1
 
1.6%
230698.2 1
 
1.6%
778431.0 1
 
1.6%

염전지번수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
59 
68
 
1
21
 
1
15
 
1
82
 
1

Length

Max length2
Median length1
Mean length1.0634921
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
93.7%
68 1
 
1.6%
21 1
 
1.6%
15 1
 
1.6%
82 1
 
1.6%

Length

2024-03-14T22:18:26.006204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:26.346047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
68 1
 
1.6%
21 1
 
1.6%
15 1
 
1.6%
82 1
 
1.6%

대면적
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409563.17
Minimum12638.5
Maximum1802245.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:26.697431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12638.5
5-th percentile23758.95
Q157486.55
median179746.2
Q3739237.05
95-th percentile1206565.1
Maximum1802245.7
Range1789607.2
Interquartile range (IQR)681750.5

Descriptive statistics

Standard deviation460322.43
Coefficient of variation (CV)1.1239351
Kurtosis0.5288356
Mean409563.17
Median Absolute Deviation (MAD)135636
Skewness1.2082761
Sum25802480
Variance2.1189674 × 1011
MonotonicityNot monotonic
2024-03-14T22:18:27.150825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106715.0 1
 
1.6%
61690.3 1
 
1.6%
297444.2 1
 
1.6%
726339.7 1
 
1.6%
354678.7 1
 
1.6%
652865.9 1
 
1.6%
243275.0 1
 
1.6%
197459.0 1
 
1.6%
965223.8 1
 
1.6%
703248.2 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
12638.5 1
1.6%
21569.5 1
1.6%
23169.5 1
1.6%
23377.0 1
1.6%
27196.5 1
1.6%
28597.5 1
1.6%
29598.4 1
1.6%
44110.2 1
1.6%
47411.4 1
1.6%
48500.7 1
1.6%
ValueCountFrequency (%)
1802245.7 1
1.6%
1618465.4 1
1.6%
1450194.9 1
1.6%
1221632.9 1
1.6%
1070954.5 1
1.6%
1068198.5 1
1.6%
1061789.8 1
1.6%
1049684.9 1
1.6%
996087.8 1
1.6%
986816.3 1
1.6%

대지번수
Real number (ℝ)

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1008.3968
Minimum127
Maximum4415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:27.591683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127
5-th percentile172
Q1360
median569
Q31410.5
95-th percentile2708.7
Maximum4415
Range4288
Interquartile range (IQR)1050.5

Descriptive statistics

Standard deviation937.5818
Coefficient of variation (CV)0.92977464
Kurtosis1.6477293
Mean1008.3968
Median Absolute Deviation (MAD)332
Skewness1.4224007
Sum63529
Variance879059.63
MonotonicityNot monotonic
2024-03-14T22:18:28.098721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172 2
 
3.2%
583 1
 
1.6%
389 1
 
1.6%
1792 1
 
1.6%
724 1
 
1.6%
677 1
 
1.6%
575 1
 
1.6%
392 1
 
1.6%
1891 1
 
1.6%
903 1
 
1.6%
Other values (52) 52
82.5%
ValueCountFrequency (%)
127 1
1.6%
154 1
1.6%
162 1
1.6%
172 2
3.2%
192 1
1.6%
204 1
1.6%
234 1
1.6%
237 1
1.6%
247 1
1.6%
274 1
1.6%
ValueCountFrequency (%)
4415 1
1.6%
3016 1
1.6%
2802 1
1.6%
2717 1
1.6%
2634 1
1.6%
2516 1
1.6%
2485 1
1.6%
2457 1
1.6%
2414 1
1.6%
2182 1
1.6%

공장용지면적
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327246.43
Minimum0
Maximum8987255.3
Zeros27
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:28.507659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median855.1
Q344486
95-th percentile424835.54
Maximum8987255.3
Range8987255.3
Interquartile range (IQR)44486

Descriptive statistics

Standard deviation1457272.7
Coefficient of variation (CV)4.4531357
Kurtosis27.957356
Mean327246.43
Median Absolute Deviation (MAD)855.1
Skewness5.2868687
Sum20616525
Variance2.1236438 × 1012
MonotonicityNot monotonic
2024-03-14T22:18:28.918709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 27
42.9%
22227.0 1
 
1.6%
47290.0 1
 
1.6%
2238490.7 1
 
1.6%
7270.0 1
 
1.6%
15353.0 1
 
1.6%
216535.0 1
 
1.6%
22616.0 1
 
1.6%
141519.5 1
 
1.6%
41682.0 1
 
1.6%
Other values (27) 27
42.9%
ValueCountFrequency (%)
0.0 27
42.9%
229.4 1
 
1.6%
366.8 1
 
1.6%
412.9 1
 
1.6%
636.0 1
 
1.6%
855.1 1
 
1.6%
977.0 1
 
1.6%
1128.0 1
 
1.6%
1151.4 1
 
1.6%
1482.9 1
 
1.6%
ValueCountFrequency (%)
8987255.3 1
1.6%
7220170.9 1
1.6%
2238490.7 1
1.6%
437879.0 1
1.6%
307444.4 1
1.6%
266409.8 1
1.6%
216535.0 1
1.6%
210059.0 1
1.6%
141519.5 1
1.6%
83373.0 1
1.6%

공장용지지번수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.396825
Minimum0
Maximum502
Zeros27
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:29.297077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile104.8
Maximum502
Range502
Interquartile range (IQR)25

Descriptive statistics

Standard deviation82.880898
Coefficient of variation (CV)2.7266301
Kurtosis22.879246
Mean30.396825
Median Absolute Deviation (MAD)2
Skewness4.6160845
Sum1915
Variance6869.2432
MonotonicityNot monotonic
2024-03-14T22:18:29.683320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 27
42.9%
2 5
 
7.9%
1 4
 
6.3%
8 2
 
3.2%
4 2
 
3.2%
3 2
 
3.2%
25 2
 
3.2%
58 2
 
3.2%
54 1
 
1.6%
27 1
 
1.6%
Other values (15) 15
23.8%
ValueCountFrequency (%)
0 27
42.9%
1 4
 
6.3%
2 5
 
7.9%
3 2
 
3.2%
4 2
 
3.2%
6 1
 
1.6%
7 1
 
1.6%
8 2
 
3.2%
21 1
 
1.6%
24 1
 
1.6%
ValueCountFrequency (%)
502 1
1.6%
404 1
1.6%
128 1
1.6%
107 1
1.6%
85 1
1.6%
76 1
1.6%
73 1
1.6%
70 1
1.6%
58 2
3.2%
54 1
1.6%

학교용지면적
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47967.973
Minimum0
Maximum527680.9
Zeros22
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:30.063757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16098
Q353753
95-th percentile156787.8
Maximum527680.9
Range527680.9
Interquartile range (IQR)53753

Descriptive statistics

Standard deviation88889.505
Coefficient of variation (CV)1.8531011
Kurtosis15.142992
Mean47967.973
Median Absolute Deviation (MAD)16098
Skewness3.5622669
Sum3021982.3
Variance7.9013441 × 109
MonotonicityNot monotonic
2024-03-14T22:18:30.381849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 22
34.9%
33153.0 1
 
1.6%
102755.8 1
 
1.6%
527680.9 1
 
1.6%
160143.0 1
 
1.6%
66708.1 1
 
1.6%
299391.0 1
 
1.6%
86533.7 1
 
1.6%
4334.0 1
 
1.6%
53117.0 1
 
1.6%
Other values (32) 32
50.8%
ValueCountFrequency (%)
0.0 22
34.9%
698.1 1
 
1.6%
2892.9 1
 
1.6%
4334.0 1
 
1.6%
4780.9 1
 
1.6%
5328.6 1
 
1.6%
6727.9 1
 
1.6%
7062.0 1
 
1.6%
7165.5 1
 
1.6%
14401.0 1
 
1.6%
ValueCountFrequency (%)
527680.9 1
1.6%
336192.0 1
1.6%
299391.0 1
1.6%
160143.0 1
1.6%
126591.0 1
1.6%
124231.8 1
1.6%
110756.7 1
1.6%
102755.8 1
1.6%
99496.7 1
1.6%
94662.0 1
1.6%

학교용지지번수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5396825
Minimum0
Maximum34
Zeros22
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:30.634875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39.5
95-th percentile26.8
Maximum34
Range34
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation8.6151131
Coefficient of variation (CV)1.3173595
Kurtosis2.4438641
Mean6.5396825
Median Absolute Deviation (MAD)3
Skewness1.7121127
Sum412
Variance74.220174
MonotonicityNot monotonic
2024-03-14T22:18:31.018004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 22
34.9%
3 5
 
7.9%
1 4
 
6.3%
5 4
 
6.3%
6 3
 
4.8%
7 3
 
4.8%
10 3
 
4.8%
2 2
 
3.2%
8 2
 
3.2%
11 2
 
3.2%
Other values (12) 13
20.6%
ValueCountFrequency (%)
0 22
34.9%
1 4
 
6.3%
2 2
 
3.2%
3 5
 
7.9%
5 4
 
6.3%
6 3
 
4.8%
7 3
 
4.8%
8 2
 
3.2%
9 2
 
3.2%
10 3
 
4.8%
ValueCountFrequency (%)
34 1
1.6%
32 1
1.6%
30 1
1.6%
27 1
1.6%
25 1
1.6%
23 1
1.6%
18 1
1.6%
16 1
1.6%
14 1
1.6%
13 1
1.6%

주차장면적
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5464.2476
Minimum0
Maximum54677.3
Zeros15
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:31.433440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179.2
median1684.2
Q36040.95
95-th percentile26375.51
Maximum54677.3
Range54677.3
Interquartile range (IQR)5961.75

Descriptive statistics

Standard deviation10297.27
Coefficient of variation (CV)1.8844808
Kurtosis11.545632
Mean5464.2476
Median Absolute Deviation (MAD)1684.2
Skewness3.2534468
Sum344247.6
Variance1.0603376 × 108
MonotonicityNot monotonic
2024-03-14T22:18:31.671475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 15
 
23.8%
4489.0 1
 
1.6%
6298.9 1
 
1.6%
13130.4 1
 
1.6%
14436.2 1
 
1.6%
870.0 1
 
1.6%
8079.4 1
 
1.6%
2707.7 1
 
1.6%
2280.2 1
 
1.6%
4961.5 1
 
1.6%
Other values (39) 39
61.9%
ValueCountFrequency (%)
0.0 15
23.8%
71.0 1
 
1.6%
87.4 1
 
1.6%
109.0 1
 
1.6%
125.6 1
 
1.6%
140.2 1
 
1.6%
187.0 1
 
1.6%
271.0 1
 
1.6%
365.4 1
 
1.6%
430.0 1
 
1.6%
ValueCountFrequency (%)
54677.3 1
1.6%
45362.5 1
1.6%
33419.6 1
1.6%
27702.1 1
1.6%
14436.2 1
1.6%
13860.0 1
1.6%
13130.4 1
1.6%
13023.5 1
1.6%
10566.1 1
1.6%
10128.5 1
1.6%

주차장지번수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8412698
Minimum0
Maximum22
Zeros15
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:31.888047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.7954553
Coefficient of variation (CV)1.197094
Kurtosis1.6145665
Mean4.8412698
Median Absolute Deviation (MAD)3
Skewness1.5078538
Sum305
Variance33.587302
MonotonicityNot monotonic
2024-03-14T22:18:32.080458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 15
23.8%
1 12
19.0%
5 6
 
9.5%
3 5
 
7.9%
7 3
 
4.8%
11 3
 
4.8%
4 3
 
4.8%
8 3
 
4.8%
2 3
 
4.8%
18 2
 
3.2%
Other values (8) 8
12.7%
ValueCountFrequency (%)
0 15
23.8%
1 12
19.0%
2 3
 
4.8%
3 5
 
7.9%
4 3
 
4.8%
5 6
 
9.5%
6 1
 
1.6%
7 3
 
4.8%
8 3
 
4.8%
9 1
 
1.6%
ValueCountFrequency (%)
22 1
 
1.6%
21 1
 
1.6%
20 1
 
1.6%
18 2
3.2%
16 1
 
1.6%
12 1
 
1.6%
11 3
4.8%
10 1
 
1.6%
9 1
 
1.6%
8 3
4.8%

주유소용지면적
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2980.3778
Minimum0
Maximum41178.5
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:32.289859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median771
Q34313.5
95-th percentile9103.13
Maximum41178.5
Range41178.5
Interquartile range (IQR)4313.5

Descriptive statistics

Standard deviation5816.8288
Coefficient of variation (CV)1.9517086
Kurtosis30.186588
Mean2980.3778
Median Absolute Deviation (MAD)771
Skewness4.8328914
Sum187763.8
Variance33835497
MonotonicityNot monotonic
2024-03-14T22:18:32.760303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 29
46.0%
886.0 1
 
1.6%
1753.6 1
 
1.6%
3062.0 1
 
1.6%
1330.0 1
 
1.6%
41178.5 1
 
1.6%
9226.0 1
 
1.6%
7190.0 1
 
1.6%
8232.0 1
 
1.6%
1301.0 1
 
1.6%
Other values (25) 25
39.7%
ValueCountFrequency (%)
0.0 29
46.0%
458.0 1
 
1.6%
677.0 1
 
1.6%
771.0 1
 
1.6%
806.0 1
 
1.6%
886.0 1
 
1.6%
1301.0 1
 
1.6%
1330.0 1
 
1.6%
1535.1 1
 
1.6%
1675.1 1
 
1.6%
ValueCountFrequency (%)
41178.5 1
1.6%
13074.3 1
1.6%
9226.0 1
1.6%
9156.9 1
1.6%
8619.2 1
1.6%
8232.0 1
1.6%
7673.0 1
1.6%
7190.0 1
1.6%
6498.1 1
1.6%
6371.0 1
1.6%

주유소용지지번수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.952381
Minimum0
Maximum32
Zeros29
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:32.946663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile8.9
Maximum32
Range32
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.9625324
Coefficient of variation (CV)1.6808578
Kurtosis18.395997
Mean2.952381
Median Absolute Deviation (MAD)1
Skewness3.592585
Sum186
Variance24.626728
MonotonicityNot monotonic
2024-03-14T22:18:33.132092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 29
46.0%
1 9
 
14.3%
5 6
 
9.5%
6 4
 
6.3%
4 3
 
4.8%
8 3
 
4.8%
2 2
 
3.2%
7 2
 
3.2%
3 1
 
1.6%
32 1
 
1.6%
Other values (3) 3
 
4.8%
ValueCountFrequency (%)
0 29
46.0%
1 9
 
14.3%
2 2
 
3.2%
3 1
 
1.6%
4 3
 
4.8%
5 6
 
9.5%
6 4
 
6.3%
7 2
 
3.2%
8 3
 
4.8%
9 1
 
1.6%
ValueCountFrequency (%)
32 1
 
1.6%
13 1
 
1.6%
12 1
 
1.6%
9 1
 
1.6%
8 3
4.8%
7 2
 
3.2%
6 4
6.3%
5 6
9.5%
4 3
4.8%
3 1
 
1.6%

창고용지면적
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14326.41
Minimum0
Maximum87838.8
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:33.346429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39017.5
95-th percentile79230.22
Maximum87838.8
Range87838.8
Interquartile range (IQR)9017.5

Descriptive statistics

Standard deviation27017.516
Coefficient of variation (CV)1.885854
Kurtosis1.8246854
Mean14326.41
Median Absolute Deviation (MAD)0
Skewness1.8261361
Sum902563.8
Variance7.2994619 × 108
MonotonicityNot monotonic
2024-03-14T22:18:33.552185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 36
57.1%
76333.0 1
 
1.6%
49554.2 1
 
1.6%
13800.8 1
 
1.6%
29720.0 1
 
1.6%
55758.5 1
 
1.6%
45882.0 1
 
1.6%
79303.0 1
 
1.6%
70202.1 1
 
1.6%
55302.9 1
 
1.6%
Other values (18) 18
28.6%
ValueCountFrequency (%)
0.0 36
57.1%
262.8 1
 
1.6%
806.0 1
 
1.6%
1653.0 1
 
1.6%
2852.0 1
 
1.6%
3346.0 1
 
1.6%
3631.0 1
 
1.6%
4592.0 1
 
1.6%
7004.0 1
 
1.6%
7533.6 1
 
1.6%
ValueCountFrequency (%)
87838.8 1
1.6%
85904.2 1
1.6%
84552.0 1
1.6%
79303.0 1
1.6%
78575.2 1
1.6%
76333.0 1
1.6%
70202.1 1
1.6%
55758.5 1
1.6%
55302.9 1
1.6%
49554.2 1
1.6%

창고용지지번수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.714286
Minimum0
Maximum105
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:33.842158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile83.1
Maximum105
Range105
Interquartile range (IQR)7

Descriptive statistics

Standard deviation27.449912
Coefficient of variation (CV)2.0015561
Kurtosis3.0105718
Mean13.714286
Median Absolute Deviation (MAD)0
Skewness2.0597277
Sum864
Variance753.4977
MonotonicityNot monotonic
2024-03-14T22:18:34.047153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 36
57.1%
7 4
 
6.3%
6 3
 
4.8%
2 2
 
3.2%
12 2
 
3.2%
1 2
 
3.2%
66 1
 
1.6%
53 1
 
1.6%
38 1
 
1.6%
62 1
 
1.6%
Other values (10) 10
 
15.9%
ValueCountFrequency (%)
0 36
57.1%
1 2
 
3.2%
2 2
 
3.2%
4 1
 
1.6%
5 1
 
1.6%
6 3
 
4.8%
7 4
 
6.3%
10 1
 
1.6%
12 2
 
3.2%
38 1
 
1.6%
ValueCountFrequency (%)
105 1
1.6%
95 1
1.6%
86 1
1.6%
85 1
1.6%
66 1
1.6%
63 1
1.6%
62 1
1.6%
59 1
1.6%
57 1
1.6%
53 1
1.6%

도로면적
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394152.29
Minimum4184.7
Maximum2671664.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:34.279246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4184.7
5-th percentile7646.71
Q123077.85
median95050
Q3538083.25
95-th percentile1520111.8
Maximum2671664.7
Range2667480
Interquartile range (IQR)515005.4

Descriptive statistics

Standard deviation575697.34
Coefficient of variation (CV)1.4605962
Kurtosis3.5064356
Mean394152.29
Median Absolute Deviation (MAD)86575.2
Skewness1.8884928
Sum24831594
Variance3.3142742 × 1011
MonotonicityNot monotonic
2024-03-14T22:18:34.542750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95050.0 1
 
1.6%
20050.0 1
 
1.6%
147085.0 1
 
1.6%
211952.0 1
 
1.6%
189351.3 1
 
1.6%
384286.3 1
 
1.6%
143988.0 1
 
1.6%
135723.0 1
 
1.6%
400499.2 1
 
1.6%
355375.7 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
4184.7 1
1.6%
5755.3 1
1.6%
6374.3 1
1.6%
7554.7 1
1.6%
8474.8 1
1.6%
8544.4 1
1.6%
9043.5 1
1.6%
11220.0 1
1.6%
12637.0 1
1.6%
13791.6 1
1.6%
ValueCountFrequency (%)
2671664.7 1
1.6%
1969574.2 1
1.6%
1562537.3 1
1.6%
1527722.3 1
1.6%
1451617.2 1
1.6%
1372184.0 1
1.6%
1274166.8 1
1.6%
1190146.0 1
1.6%
1102199.3 1
1.6%
1086459.8 1
1.6%

도로지번수
Real number (ℝ)

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787.60317
Minimum4
Maximum5193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:34.827135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile27.1
Q168.5
median180
Q3720.5
95-th percentile3921.1
Maximum5193
Range5189
Interquartile range (IQR)652

Descriptive statistics

Standard deviation1288.6676
Coefficient of variation (CV)1.6361889
Kurtosis3.1969574
Mean787.60317
Median Absolute Deviation (MAD)150
Skewness2.0673038
Sum49619
Variance1660664.1
MonotonicityNot monotonic
2024-03-14T22:18:35.142197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171 2
 
3.2%
87 2
 
3.2%
381 1
 
1.6%
67 1
 
1.6%
298 1
 
1.6%
542 1
 
1.6%
735 1
 
1.6%
741 1
 
1.6%
428 1
 
1.6%
528 1
 
1.6%
Other values (51) 51
81.0%
ValueCountFrequency (%)
4 1
1.6%
16 1
1.6%
20 1
1.6%
27 1
1.6%
28 1
1.6%
30 1
1.6%
36 1
1.6%
38 1
1.6%
39 1
1.6%
40 1
1.6%
ValueCountFrequency (%)
5193 1
1.6%
4567 1
1.6%
4042 1
1.6%
3926 1
1.6%
3877 1
1.6%
3193 1
1.6%
3050 1
1.6%
2967 1
1.6%
2629 1
1.6%
1878 1
1.6%

철도용지면적
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18820.327
Minimum0
Maximum238925
Zeros41
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:35.360435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312840.35
95-th percentile118707.2
Maximum238925
Range238925
Interquartile range (IQR)12840.35

Descriptive statistics

Standard deviation46328.633
Coefficient of variation (CV)2.4616274
Kurtosis11.639724
Mean18820.327
Median Absolute Deviation (MAD)0
Skewness3.3455747
Sum1185680.6
Variance2.1463422 × 109
MonotonicityNot monotonic
2024-03-14T22:18:35.569311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 41
65.1%
188.0 1
 
1.6%
76823.0 1
 
1.6%
9974.0 1
 
1.6%
199947.0 1
 
1.6%
146290.0 1
 
1.6%
71960.0 1
 
1.6%
41611.0 1
 
1.6%
123361.0 1
 
1.6%
14450.0 1
 
1.6%
Other values (13) 13
 
20.6%
ValueCountFrequency (%)
0.0 41
65.1%
188.0 1
 
1.6%
1414.9 1
 
1.6%
8169.9 1
 
1.6%
9974.0 1
 
1.6%
12039.4 1
 
1.6%
12757.4 1
 
1.6%
12923.3 1
 
1.6%
14450.0 1
 
1.6%
18582.0 1
 
1.6%
ValueCountFrequency (%)
238925.0 1
1.6%
199947.0 1
1.6%
146290.0 1
1.6%
123361.0 1
1.6%
76823.0 1
1.6%
71960.0 1
1.6%
59039.8 1
1.6%
43405.7 1
1.6%
41611.0 1
1.6%
32658.0 1
1.6%

철도용지지번수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.650794
Minimum0
Maximum326
Zeros41
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:35.769311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310.5
95-th percentile82.9
Maximum326
Range326
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation54.150078
Coefficient of variation (CV)2.9033659
Kurtosis21.48842
Mean18.650794
Median Absolute Deviation (MAD)0
Skewness4.4515322
Sum1175
Variance2932.2309
MonotonicityNot monotonic
2024-03-14T22:18:35.978324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 41
65.1%
5 2
 
3.2%
3 2
 
3.2%
2 1
 
1.6%
61 1
 
1.6%
24 1
 
1.6%
326 1
 
1.6%
73 1
 
1.6%
16 1
 
1.6%
84 1
 
1.6%
Other values (11) 11
 
17.5%
ValueCountFrequency (%)
0 41
65.1%
2 1
 
1.6%
3 2
 
3.2%
5 2
 
3.2%
9 1
 
1.6%
12 1
 
1.6%
13 1
 
1.6%
15 1
 
1.6%
16 1
 
1.6%
19 1
 
1.6%
ValueCountFrequency (%)
326 1
1.6%
251 1
1.6%
102 1
1.6%
84 1
1.6%
73 1
1.6%
61 1
1.6%
48 1
1.6%
44 1
1.6%
31 1
1.6%
29 1
1.6%

제방면적
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32096.516
Minimum0
Maximum561682.8
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:36.269015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q324406.5
95-th percentile124415.57
Maximum561682.8
Range561682.8
Interquartile range (IQR)24406.5

Descriptive statistics

Standard deviation87940.389
Coefficient of variation (CV)2.7398734
Kurtosis23.911712
Mean32096.516
Median Absolute Deviation (MAD)0
Skewness4.5926513
Sum2022080.5
Variance7.7335121 × 109
MonotonicityNot monotonic
2024-03-14T22:18:36.481694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 36
57.1%
37841.3 1
 
1.6%
26571.0 1
 
1.6%
108596.0 1
 
1.6%
561682.8 1
 
1.6%
80467.0 1
 
1.6%
103075.0 1
 
1.6%
28022.0 1
 
1.6%
91128.0 1
 
1.6%
58448.0 1
 
1.6%
Other values (18) 18
28.6%
ValueCountFrequency (%)
0.0 36
57.1%
231.0 1
 
1.6%
548.0 1
 
1.6%
1209.0 1
 
1.6%
2181.0 1
 
1.6%
2623.0 1
 
1.6%
2805.0 1
 
1.6%
5491.0 1
 
1.6%
9013.0 1
 
1.6%
16010.0 1
 
1.6%
ValueCountFrequency (%)
561682.8 1
1.6%
362708.9 1
1.6%
161415.0 1
1.6%
126173.3 1
1.6%
108596.0 1
1.6%
103075.0 1
1.6%
91128.0 1
1.6%
80467.0 1
1.6%
78092.2 1
1.6%
58448.0 1
1.6%

제방지번수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.206349
Minimum0
Maximum228
Zeros36
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:36.691732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310.5
95-th percentile72.4
Maximum228
Range228
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation42.67437
Coefficient of variation (CV)2.4801525
Kurtosis15.261716
Mean17.206349
Median Absolute Deviation (MAD)0
Skewness3.7622997
Sum1084
Variance1821.1019
MonotonicityNot monotonic
2024-03-14T22:18:36.888557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 36
57.1%
7 3
 
4.8%
3 2
 
3.2%
6 2
 
3.2%
35 2
 
3.2%
12 2
 
3.2%
209 1
 
1.6%
45 1
 
1.6%
113 1
 
1.6%
54 1
 
1.6%
Other values (12) 12
 
19.0%
ValueCountFrequency (%)
0 36
57.1%
2 1
 
1.6%
3 2
 
3.2%
4 1
 
1.6%
6 2
 
3.2%
7 3
 
4.8%
8 1
 
1.6%
9 1
 
1.6%
12 2
 
3.2%
14 1
 
1.6%
ValueCountFrequency (%)
228 1
1.6%
209 1
1.6%
113 1
1.6%
73 1
1.6%
67 1
1.6%
59 1
1.6%
54 1
1.6%
45 1
1.6%
35 2
3.2%
29 1
1.6%

하천면적
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean571797.38
Minimum0
Maximum13885033
Zeros41
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:37.077979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31715.85
95-th percentile3710365.2
Maximum13885033
Range13885033
Interquartile range (IQR)1715.85

Descriptive statistics

Standard deviation2231031.1
Coefficient of variation (CV)3.9017861
Kurtosis23.276527
Mean571797.38
Median Absolute Deviation (MAD)0
Skewness4.6594756
Sum36023235
Variance4.9774998 × 1012
MonotonicityNot monotonic
2024-03-14T22:18:37.385375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 41
65.1%
1600.0 1
 
1.6%
1759.0 1
 
1.6%
6362988.0 1
 
1.6%
3827914.0 1
 
1.6%
17626.0 1
 
1.6%
2652426.0 1
 
1.6%
128118.0 1
 
1.6%
280958.0 1
 
1.6%
13885033.0 1
 
1.6%
Other values (13) 13
 
20.6%
ValueCountFrequency (%)
0.0 41
65.1%
312.9 1
 
1.6%
448.3 1
 
1.6%
595.0 1
 
1.6%
854.7 1
 
1.6%
1600.0 1
 
1.6%
1672.7 1
 
1.6%
1759.0 1
 
1.6%
5160.0 1
 
1.6%
9378.0 1
 
1.6%
ValueCountFrequency (%)
13885033.0 1
1.6%
8608942.0 1
1.6%
6362988.0 1
1.6%
3827914.0 1
1.6%
2652426.0 1
1.6%
280958.0 1
1.6%
143268.0 1
1.6%
128118.0 1
1.6%
35545.4 1
1.6%
34056.0 1
1.6%

하천지번수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.777778
Minimum0
Maximum487
Zeros41
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:37.606154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile75.3
Maximum487
Range487
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation78.019114
Coefficient of variation (CV)3.9447866
Kurtosis27.382037
Mean19.777778
Median Absolute Deviation (MAD)0
Skewness5.1731735
Sum1246
Variance6086.9821
MonotonicityNot monotonic
2024-03-14T22:18:37.822403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 41
65.1%
2 3
 
4.8%
1 2
 
3.2%
5 2
 
3.2%
4 2
 
3.2%
12 2
 
3.2%
60 1
 
1.6%
9 1
 
1.6%
112 1
 
1.6%
25 1
 
1.6%
Other values (7) 7
 
11.1%
ValueCountFrequency (%)
0 41
65.1%
1 2
 
3.2%
2 3
 
4.8%
3 1
 
1.6%
4 2
 
3.2%
5 2
 
3.2%
7 1
 
1.6%
9 1
 
1.6%
11 1
 
1.6%
12 2
 
3.2%
ValueCountFrequency (%)
487 1
1.6%
375 1
1.6%
112 1
1.6%
77 1
1.6%
60 1
1.6%
30 1
1.6%
25 1
1.6%
12 2
3.2%
11 1
1.6%
9 1
1.6%

구거면적
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212915.19
Minimum0
Maximum2249500.1
Zeros22
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:38.048942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2705
Q397575.85
95-th percentile1127129.2
Maximum2249500.1
Range2249500.1
Interquartile range (IQR)97575.85

Descriptive statistics

Standard deviation446056.05
Coefficient of variation (CV)2.094994
Kurtosis7.5829503
Mean212915.19
Median Absolute Deviation (MAD)2705
Skewness2.6567429
Sum13413657
Variance1.98966 × 1011
MonotonicityNot monotonic
2024-03-14T22:18:38.283891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 22
34.9%
64.0 2
 
3.2%
1137086.4 1
 
1.6%
83149.6 1
 
1.6%
63098.1 1
 
1.6%
127959.0 1
 
1.6%
273184.0 1
 
1.6%
952583.7 1
 
1.6%
498225.8 1
 
1.6%
1619582.7 1
 
1.6%
Other values (31) 31
49.2%
ValueCountFrequency (%)
0.0 22
34.9%
64.0 2
 
3.2%
91.0 1
 
1.6%
360.0 1
 
1.6%
606.0 1
 
1.6%
634.0 1
 
1.6%
761.9 1
 
1.6%
843.0 1
 
1.6%
1030.0 1
 
1.6%
2705.0 1
 
1.6%
ValueCountFrequency (%)
2249500.1 1
1.6%
1619582.7 1
1.6%
1137086.4 1
1.6%
1127530.7 1
1.6%
1123515.6 1
1.6%
952583.7 1
1.6%
772711.0 1
1.6%
719426.3 1
1.6%
718439.6 1
1.6%
703472.4 1
1.6%

구거지번수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.92063
Minimum0
Maximum2467
Zeros22
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:38.598629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q3106
95-th percentile977.3
Maximum2467
Range2467
Interquartile range (IQR)106

Descriptive statistics

Standard deviation433.32556
Coefficient of variation (CV)2.1893905
Kurtosis11.924243
Mean197.92063
Median Absolute Deviation (MAD)6
Skewness3.1319161
Sum12469
Variance187771.04
MonotonicityNot monotonic
2024-03-14T22:18:38.828827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 22
34.9%
2 4
 
6.3%
4 2
 
3.2%
1 2
 
3.2%
50 1
 
1.6%
874 1
 
1.6%
1052 1
 
1.6%
719 1
 
1.6%
767 1
 
1.6%
2467 1
 
1.6%
Other values (27) 27
42.9%
ValueCountFrequency (%)
0 22
34.9%
1 2
 
3.2%
2 4
 
6.3%
3 1
 
1.6%
4 2
 
3.2%
6 1
 
1.6%
8 1
 
1.6%
9 1
 
1.6%
11 1
 
1.6%
13 1
 
1.6%
ValueCountFrequency (%)
2467 1
1.6%
1296 1
1.6%
1052 1
1.6%
978 1
1.6%
971 1
1.6%
874 1
1.6%
868 1
1.6%
767 1
1.6%
719 1
1.6%
653 1
1.6%

유지면적
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145964.4
Minimum0
Maximum4002522
Zeros40
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:39.041742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q347800.9
95-th percentile521299.6
Maximum4002522
Range4002522
Interquartile range (IQR)47800.9

Descriptive statistics

Standard deviation529818.5
Coefficient of variation (CV)3.629779
Kurtosis46.925543
Mean145964.4
Median Absolute Deviation (MAD)0
Skewness6.5245144
Sum9195756.9
Variance2.8070764 × 1011
MonotonicityNot monotonic
2024-03-14T22:18:39.270577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 40
63.5%
361685.0 1
 
1.6%
195244.0 1
 
1.6%
67130.8 1
 
1.6%
315529.0 1
 
1.6%
600746.8 1
 
1.6%
84358.0 1
 
1.6%
94370.0 1
 
1.6%
185109.0 1
 
1.6%
356892.1 1
 
1.6%
Other values (14) 14
 
22.2%
ValueCountFrequency (%)
0.0 40
63.5%
311.0 1
 
1.6%
1276.0 1
 
1.6%
2281.0 1
 
1.6%
5151.0 1
 
1.6%
8621.0 1
 
1.6%
25634.0 1
 
1.6%
28471.0 1
 
1.6%
67130.8 1
 
1.6%
80365.0 1
 
1.6%
ValueCountFrequency (%)
4002522.0 1
1.6%
1080538.0 1
1.6%
600746.8 1
1.6%
533041.0 1
1.6%
415627.0 1
1.6%
378672.0 1
1.6%
372182.2 1
1.6%
361685.0 1
1.6%
356892.1 1
1.6%
315529.0 1
1.6%

유지지번수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.555556
Minimum0
Maximum173
Zeros40
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:39.488597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile114.2
Maximum173
Range173
Interquartile range (IQR)15

Descriptive statistics

Standard deviation39.297368
Coefficient of variation (CV)2.0095245
Kurtosis4.2776252
Mean19.555556
Median Absolute Deviation (MAD)0
Skewness2.1964786
Sum1232
Variance1544.2832
MonotonicityNot monotonic
2024-03-14T22:18:39.788293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 40
63.5%
1 2
 
3.2%
3 2
 
3.2%
2 2
 
3.2%
120 1
 
1.6%
55 1
 
1.6%
13 1
 
1.6%
96 1
 
1.6%
116 1
 
1.6%
34 1
 
1.6%
Other values (11) 11
 
17.5%
ValueCountFrequency (%)
0 40
63.5%
1 2
 
3.2%
2 2
 
3.2%
3 2
 
3.2%
13 1
 
1.6%
17 1
 
1.6%
26 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
42 1
 
1.6%
ValueCountFrequency (%)
173 1
1.6%
130 1
1.6%
120 1
1.6%
116 1
1.6%
98 1
1.6%
96 1
1.6%
81 1
1.6%
70 1
1.6%
63 1
1.6%
55 1
1.6%

양어장면적
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1325.1429
Minimum0
Maximum27095
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:39.987529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6502.6
Maximum27095
Range27095
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4574.631
Coefficient of variation (CV)3.4521795
Kurtosis19.550077
Mean1325.1429
Median Absolute Deviation (MAD)0
Skewness4.3097426
Sum83484
Variance20927248
MonotonicityNot monotonic
2024-03-14T22:18:40.376072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 53
84.1%
242 1
 
1.6%
27095 1
 
1.6%
6564 1
 
1.6%
1866 1
 
1.6%
2833 1
 
1.6%
17110 1
 
1.6%
3219 1
 
1.6%
1963 1
 
1.6%
5950 1
 
1.6%
ValueCountFrequency (%)
0 53
84.1%
242 1
 
1.6%
1866 1
 
1.6%
1963 1
 
1.6%
2833 1
 
1.6%
3219 1
 
1.6%
5950 1
 
1.6%
6564 1
 
1.6%
16642 1
 
1.6%
17110 1
 
1.6%
ValueCountFrequency (%)
27095 1
1.6%
17110 1
1.6%
16642 1
1.6%
6564 1
1.6%
5950 1
1.6%
3219 1
1.6%
2833 1
1.6%
1963 1
1.6%
1866 1
1.6%
242 1
1.6%

양어장지번수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68253968
Minimum0
Maximum17
Zeros53
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:40.551964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3950581
Coefficient of variation (CV)3.5090386
Kurtosis35.648277
Mean0.68253968
Median Absolute Deviation (MAD)0
Skewness5.5394474
Sum43
Variance5.7363031
MonotonicityNot monotonic
2024-03-14T22:18:40.740005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 53
84.1%
2 3
 
4.8%
1 2
 
3.2%
5 2
 
3.2%
4 2
 
3.2%
17 1
 
1.6%
ValueCountFrequency (%)
0 53
84.1%
1 2
 
3.2%
2 3
 
4.8%
4 2
 
3.2%
5 2
 
3.2%
17 1
 
1.6%
ValueCountFrequency (%)
17 1
 
1.6%
5 2
 
3.2%
4 2
 
3.2%
2 3
 
4.8%
1 2
 
3.2%
0 53
84.1%

수도용지면적
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9862.846
Minimum0
Maximum81286
Zeros37
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:41.042338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32803
95-th percentile61170.3
Maximum81286
Range81286
Interquartile range (IQR)2803

Descriptive statistics

Standard deviation20195.728
Coefficient of variation (CV)2.0476572
Kurtosis3.5643579
Mean9862.846
Median Absolute Deviation (MAD)0
Skewness2.1250203
Sum621359.3
Variance4.0786741 × 108
MonotonicityNot monotonic
2024-03-14T22:18:41.270407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 37
58.7%
28205.0 1
 
1.6%
27362.6 1
 
1.6%
42039.1 1
 
1.6%
64777.0 1
 
1.6%
66902.0 1
 
1.6%
53470.8 1
 
1.6%
635.4 1
 
1.6%
55017.0 1
 
1.6%
21183.0 1
 
1.6%
Other values (17) 17
27.0%
ValueCountFrequency (%)
0.0 37
58.7%
18.0 1
 
1.6%
26.0 1
 
1.6%
89.4 1
 
1.6%
97.0 1
 
1.6%
265.0 1
 
1.6%
589.0 1
 
1.6%
601.0 1
 
1.6%
635.4 1
 
1.6%
650.0 1
 
1.6%
ValueCountFrequency (%)
81286.0 1
1.6%
66902.0 1
1.6%
64777.0 1
1.6%
61854.0 1
1.6%
55017.0 1
1.6%
53470.8 1
1.6%
42039.1 1
1.6%
33585.0 1
1.6%
28205.0 1
1.6%
27362.6 1
1.6%

수도용지지번수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.365079
Minimum0
Maximum251
Zeros37
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:41.490805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile174.5
Maximum251
Range251
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation57.655065
Coefficient of variation (CV)2.5779057
Kurtosis7.463799
Mean22.365079
Median Absolute Deviation (MAD)0
Skewness2.8768465
Sum1409
Variance3324.1065
MonotonicityNot monotonic
2024-03-14T22:18:41.694046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 37
58.7%
1 6
 
9.5%
2 4
 
6.3%
5 1
 
1.6%
43 1
 
1.6%
67 1
 
1.6%
251 1
 
1.6%
220 1
 
1.6%
218 1
 
1.6%
178 1
 
1.6%
Other values (9) 9
 
14.3%
ValueCountFrequency (%)
0 37
58.7%
1 6
 
9.5%
2 4
 
6.3%
3 1
 
1.6%
5 1
 
1.6%
6 1
 
1.6%
9 1
 
1.6%
16 1
 
1.6%
17 1
 
1.6%
25 1
 
1.6%
ValueCountFrequency (%)
251 1
1.6%
220 1
1.6%
218 1
1.6%
178 1
1.6%
143 1
1.6%
102 1
1.6%
92 1
1.6%
67 1
1.6%
43 1
1.6%
25 1
1.6%

공원면적
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39373.435
Minimum0
Maximum976141.3
Zeros31
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:41.917843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1004.2
Q36826
95-th percentile175099.69
Maximum976141.3
Range976141.3
Interquartile range (IQR)6826

Descriptive statistics

Standard deviation135200.73
Coefficient of variation (CV)3.4338058
Kurtosis38.44689
Mean39373.435
Median Absolute Deviation (MAD)1004.2
Skewness5.8192808
Sum2480526.4
Variance1.8279237 × 1010
MonotonicityNot monotonic
2024-03-14T22:18:42.243706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 31
49.2%
24942.0 1
 
1.6%
1004.2 1
 
1.6%
976141.3 1
 
1.6%
355848.1 1
 
1.6%
16788.3 1
 
1.6%
146027.8 1
 
1.6%
4123.4 1
 
1.6%
2793.5 1
 
1.6%
30117.5 1
 
1.6%
Other values (23) 23
36.5%
ValueCountFrequency (%)
0.0 31
49.2%
1004.2 1
 
1.6%
1045.7 1
 
1.6%
1349.3 1
 
1.6%
1446.7 1
 
1.6%
1458.0 1
 
1.6%
2097.8 1
 
1.6%
2374.4 1
 
1.6%
2546.4 1
 
1.6%
2742.9 1
 
1.6%
ValueCountFrequency (%)
976141.3 1
1.6%
355848.1 1
1.6%
234427.9 1
1.6%
178329.9 1
1.6%
146027.8 1
1.6%
130678.9 1
1.6%
90869.2 1
1.6%
87045.7 1
1.6%
74477.4 1
1.6%
44235.7 1
1.6%

공원지번수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3015873
Minimum0
Maximum265
Zeros31
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:42.453367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile25.9
Maximum265
Range265
Interquartile range (IQR)6

Descriptive statistics

Standard deviation33.997455
Coefficient of variation (CV)3.6550165
Kurtosis53.729658
Mean9.3015873
Median Absolute Deviation (MAD)1
Skewness7.0999473
Sum586
Variance1155.8269
MonotonicityNot monotonic
2024-03-14T22:18:42.658787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 31
49.2%
1 7
 
11.1%
2 3
 
4.8%
3 3
 
4.8%
6 3
 
4.8%
9 2
 
3.2%
5 2
 
3.2%
25 2
 
3.2%
265 1
 
1.6%
12 1
 
1.6%
Other values (8) 8
 
12.7%
ValueCountFrequency (%)
0 31
49.2%
1 7
 
11.1%
2 3
 
4.8%
3 3
 
4.8%
5 2
 
3.2%
6 3
 
4.8%
9 2
 
3.2%
12 1
 
1.6%
14 1
 
1.6%
16 1
 
1.6%
ValueCountFrequency (%)
265 1
1.6%
42 1
1.6%
29 1
1.6%
26 1
1.6%
25 2
3.2%
24 1
1.6%
23 1
1.6%
17 1
1.6%
16 1
1.6%
14 1
1.6%

체육용지면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47385.794
Minimum0
Maximum1717287
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:42.863070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37899.8
Maximum1717287
Range1717287
Interquartile range (IQR)0

Descriptive statistics

Standard deviation244963.25
Coefficient of variation (CV)5.1695505
Kurtosis38.399422
Mean47385.794
Median Absolute Deviation (MAD)0
Skewness6.0859607
Sum2985305
Variance6.0006996 × 1010
MonotonicityNot monotonic
2024-03-14T22:18:43.070406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 50
79.4%
25815 1
 
1.6%
135919 1
 
1.6%
24362 1
 
1.6%
38798 1
 
1.6%
4094 1
 
1.6%
22214 1
 
1.6%
943169 1
 
1.6%
16490 1
 
1.6%
3984 1
 
1.6%
Other values (4) 4
 
6.3%
ValueCountFrequency (%)
0 50
79.4%
3984 1
 
1.6%
4094 1
 
1.6%
6510 1
 
1.6%
16490 1
 
1.6%
16847 1
 
1.6%
22214 1
 
1.6%
24362 1
 
1.6%
25815 1
 
1.6%
29816 1
 
1.6%
ValueCountFrequency (%)
1717287 1
1.6%
943169 1
1.6%
135919 1
1.6%
38798 1
1.6%
29816 1
1.6%
25815 1
1.6%
24362 1
1.6%
22214 1
1.6%
16847 1
1.6%
16490 1
1.6%

체육용지지번수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7619048
Minimum0
Maximum113
Zeros50
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:43.364005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.6
Maximum113
Range113
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.41077
Coefficient of variation (CV)4.3623565
Kurtosis34.365437
Mean3.7619048
Median Absolute Deviation (MAD)0
Skewness5.6677674
Sum237
Variance269.31336
MonotonicityNot monotonic
2024-03-14T22:18:43.551525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 50
79.4%
2 4
 
6.3%
4 2
 
3.2%
3 2
 
3.2%
8 1
 
1.6%
33 1
 
1.6%
60 1
 
1.6%
1 1
 
1.6%
113 1
 
1.6%
ValueCountFrequency (%)
0 50
79.4%
1 1
 
1.6%
2 4
 
6.3%
3 2
 
3.2%
4 2
 
3.2%
8 1
 
1.6%
33 1
 
1.6%
60 1
 
1.6%
113 1
 
1.6%
ValueCountFrequency (%)
113 1
 
1.6%
60 1
 
1.6%
33 1
 
1.6%
8 1
 
1.6%
4 2
 
3.2%
3 2
 
3.2%
2 4
 
6.3%
1 1
 
1.6%
0 50
79.4%

유원지면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
59 
8921
 
1
1642
 
1
40247
 
1
3376
 
1

Length

Max length5
Median length1
Mean length1.2063492
Min length1

Unique

Unique4 ?
Unique (%)6.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
93.7%
8921 1
 
1.6%
1642 1
 
1.6%
40247 1
 
1.6%
3376 1
 
1.6%

Length

2024-03-14T22:18:43.782558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:43.989841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
8921 1
 
1.6%
1642 1
 
1.6%
40247 1
 
1.6%
3376 1
 
1.6%

유원지지번수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
59 
1
 
2
12
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.015873
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
93.7%
1 2
 
3.2%
12 1
 
1.6%
2 1
 
1.6%

Length

2024-03-14T22:18:44.191099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:44.404003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
1 2
 
3.2%
12 1
 
1.6%
2 1
 
1.6%

종교용지면적
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6559.2111
Minimum0
Maximum39012.7
Zeros16
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:44.674972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1253
median3174
Q39581.95
95-th percentile21530.6
Maximum39012.7
Range39012.7
Interquartile range (IQR)9328.95

Descriptive statistics

Standard deviation8557.4448
Coefficient of variation (CV)1.3046454
Kurtosis4.7104687
Mean6559.2111
Median Absolute Deviation (MAD)3174
Skewness2.0141653
Sum413230.3
Variance73229862
MonotonicityNot monotonic
2024-03-14T22:18:44.937262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 16
25.4%
1682.0 1
 
1.6%
38111.2 1
 
1.6%
23812.7 1
 
1.6%
11469.0 1
 
1.6%
5261.9 1
 
1.6%
39012.7 1
 
1.6%
8944.0 1
 
1.6%
16458.7 1
 
1.6%
3086.3 1
 
1.6%
Other values (38) 38
60.3%
ValueCountFrequency (%)
0.0 16
25.4%
506.0 1
 
1.6%
624.0 1
 
1.6%
634.4 1
 
1.6%
682.0 1
 
1.6%
799.5 1
 
1.6%
1157.0 1
 
1.6%
1173.0 1
 
1.6%
1227.0 1
 
1.6%
1440.1 1
 
1.6%
ValueCountFrequency (%)
39012.7 1
1.6%
38111.2 1
1.6%
23812.7 1
1.6%
21598.0 1
1.6%
20924.0 1
1.6%
17259.0 1
1.6%
16731.0 1
1.6%
16458.7 1
1.6%
15030.7 1
1.6%
14418.0 1
1.6%

종교용지지번수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7936508
Minimum0
Maximum31
Zeros16
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:45.166353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median4
Q310.5
95-th percentile24.4
Maximum31
Range31
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.9639485
Coefficient of variation (CV)1.1722634
Kurtosis1.7019683
Mean6.7936508
Median Absolute Deviation (MAD)4
Skewness1.4568625
Sum428
Variance63.424475
MonotonicityNot monotonic
2024-03-14T22:18:45.363928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 16
25.4%
1 7
11.1%
4 4
 
6.3%
3 4
 
6.3%
2 3
 
4.8%
11 3
 
4.8%
9 3
 
4.8%
6 3
 
4.8%
5 2
 
3.2%
10 2
 
3.2%
Other values (11) 16
25.4%
ValueCountFrequency (%)
0 16
25.4%
1 7
11.1%
2 3
 
4.8%
3 4
 
6.3%
4 4
 
6.3%
5 2
 
3.2%
6 3
 
4.8%
7 1
 
1.6%
8 2
 
3.2%
9 3
 
4.8%
ValueCountFrequency (%)
31 2
3.2%
27 1
 
1.6%
25 1
 
1.6%
19 2
3.2%
18 2
3.2%
16 1
 
1.6%
14 1
 
1.6%
13 2
3.2%
12 1
 
1.6%
11 3
4.8%

사적지면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
61 
12595
 
1
7234
 
1

Length

Max length5
Median length1
Mean length1.1111111
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
96.8%
12595 1
 
1.6%
7234 1
 
1.6%

Length

2024-03-14T22:18:45.651391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:45.892021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
96.8%
12595 1
 
1.6%
7234 1
 
1.6%

사적지지번수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
61 
2
 
1
18
 
1

Length

Max length2
Median length1
Mean length1.015873
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
96.8%
2 1
 
1.6%
18 1
 
1.6%

Length

2024-03-14T22:18:46.083714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:18:46.376169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
96.8%
2 1
 
1.6%
18 1
 
1.6%

묘지면적
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19057.921
Minimum0
Maximum147647
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:46.692457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313800
95-th percentile113042.24
Maximum147647
Range147647
Interquartile range (IQR)13800

Descriptive statistics

Standard deviation38650.262
Coefficient of variation (CV)2.0280419
Kurtosis3.0649039
Mean19057.921
Median Absolute Deviation (MAD)0
Skewness2.0873093
Sum1200649
Variance1.4938427 × 109
MonotonicityNot monotonic
2024-03-14T22:18:47.026827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 34
54.0%
13437.0 1
 
1.6%
31219.0 1
 
1.6%
94818.5 1
 
1.6%
112580.0 1
 
1.6%
113093.6 1
 
1.6%
55144.0 1
 
1.6%
73204.0 1
 
1.6%
109961.0 1
 
1.6%
121555.0 1
 
1.6%
Other values (20) 20
31.7%
ValueCountFrequency (%)
0.0 34
54.0%
36.0 1
 
1.6%
89.0 1
 
1.6%
120.0 1
 
1.6%
227.0 1
 
1.6%
638.0 1
 
1.6%
1041.0 1
 
1.6%
1422.0 1
 
1.6%
1960.0 1
 
1.6%
3148.0 1
 
1.6%
ValueCountFrequency (%)
147647.0 1
1.6%
122887.0 1
1.6%
121555.0 1
1.6%
113093.6 1
1.6%
112580.0 1
1.6%
109961.0 1
1.6%
94818.5 1
1.6%
73663.0 1
1.6%
73204.0 1
1.6%
55144.0 1
1.6%

묘지지번수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.15873
Minimum0
Maximum126
Zeros34
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:47.248742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.5
95-th percentile83.9
Maximum126
Range126
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation29.539043
Coefficient of variation (CV)1.9486489
Kurtosis3.7208698
Mean15.15873
Median Absolute Deviation (MAD)0
Skewness2.1316482
Sum955
Variance872.55504
MonotonicityNot monotonic
2024-03-14T22:18:47.463635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 34
54.0%
1 3
 
4.8%
2 3
 
4.8%
8 2
 
3.2%
3 2
 
3.2%
7 2
 
3.2%
98 1
 
1.6%
30 1
 
1.6%
61 1
 
1.6%
83 1
 
1.6%
Other values (13) 13
 
20.6%
ValueCountFrequency (%)
0 34
54.0%
1 3
 
4.8%
2 3
 
4.8%
3 2
 
3.2%
5 1
 
1.6%
7 2
 
3.2%
8 2
 
3.2%
11 1
 
1.6%
12 1
 
1.6%
22 1
 
1.6%
ValueCountFrequency (%)
126 1
1.6%
98 1
1.6%
87 1
1.6%
84 1
1.6%
83 1
1.6%
68 1
1.6%
65 1
1.6%
63 1
1.6%
61 1
1.6%
38 1
1.6%

잡종지면적
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330315.94
Minimum0
Maximum5703312.1
Zeros18
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:47.697457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2179.4
Q395757.05
95-th percentile2531514.6
Maximum5703312.1
Range5703312.1
Interquartile range (IQR)95757.05

Descriptive statistics

Standard deviation952088.2
Coefficient of variation (CV)2.8823562
Kurtosis17.797307
Mean330315.94
Median Absolute Deviation (MAD)2179.4
Skewness4.0019984
Sum20809904
Variance9.0647194 × 1011
MonotonicityNot monotonic
2024-03-14T22:18:47.934621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 18
28.6%
1108.0 1
 
1.6%
9874.4 1
 
1.6%
31531.7 1
 
1.6%
22696.1 1
 
1.6%
2587210.5 1
 
1.6%
698613.0 1
 
1.6%
2726078.1 1
 
1.6%
2277.0 1
 
1.6%
21862.0 1
 
1.6%
Other values (36) 36
57.1%
ValueCountFrequency (%)
0.0 18
28.6%
90.0 1
 
1.6%
92.0 1
 
1.6%
112.0 1
 
1.6%
195.0 1
 
1.6%
222.5 1
 
1.6%
365.0 1
 
1.6%
373.8 1
 
1.6%
530.0 1
 
1.6%
638.0 1
 
1.6%
ValueCountFrequency (%)
5703312.1 1
1.6%
3196848.2 1
1.6%
2726078.1 1
1.6%
2587210.5 1
1.6%
2030252.0 1
1.6%
698613.0 1
1.6%
661895.9 1
1.6%
643516.2 1
1.6%
425756.5 1
1.6%
419905.5 1
1.6%

잡종지지번수
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.285714
Minimum0
Maximum1765
Zeros18
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-14T22:18:48.253900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q342.5
95-th percentile297.9
Maximum1765
Range1765
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation237.09291
Coefficient of variation (CV)3.028559
Kurtosis42.533582
Mean78.285714
Median Absolute Deviation (MAD)5
Skewness6.1059946
Sum4932
Variance56213.046
MonotonicityNot monotonic
2024-03-14T22:18:48.478504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 18
28.6%
1 6
 
9.5%
3 4
 
6.3%
5 2
 
3.2%
2 2
 
3.2%
28 2
 
3.2%
31 2
 
3.2%
29 1
 
1.6%
386 1
 
1.6%
230 1
 
1.6%
Other values (24) 24
38.1%
ValueCountFrequency (%)
0 18
28.6%
1 6
 
9.5%
2 2
 
3.2%
3 4
 
6.3%
5 2
 
3.2%
7 1
 
1.6%
10 1
 
1.6%
12 1
 
1.6%
15 1
 
1.6%
16 1
 
1.6%
ValueCountFrequency (%)
1765 1
1.6%
417 1
1.6%
386 1
1.6%
299 1
1.6%
288 1
1.6%
269 1
1.6%
232 1
1.6%
230 1
1.6%
205 1
1.6%
83 1
1.6%

Sample

토지소재지총면적총지번수전면적전지번수답면적답지번수과수원면적과수원지번수목장용지면적목장용지지번수임야면적임야지번수광천면적광천지번수염전면적염전지번수대면적대지번수공장용지면적공장용지지번수학교용지면적학교용지지번수주차장면적주차장지번수주유소용지면적주유소용지지번수창고용지면적창고용지지번수도로면적도로지번수철도용지면적철도용지지번수제방면적제방지번수하천면적하천지번수구거면적구거지번수유지면적유지지번수양어장면적양어장지번수수도용지면적수도용지지번수공원면적공원지번수체육용지면적체육용지지번수유원지면적유원지지번수종교용지면적종교용지지번수사적지면적사적지지번수묘지면적묘지지번수잡종지면적잡종지지번수
0해망동2595231.3140811886.0630.00000.00229204.030000.00106715.058322227.0380.004489.01886.010.0095050.0381188.0237841.371600.0164.010.000028205.0524942.026500001682.01000.002030252.029
1신흥동148959.579230640.6680.00000.0028004.124000.0061690.35310.002892.9571.010.000.0020050.01520.000.000.0091.020.0000601.010.0000004918.68000.000.00
2금동286514.855446.310.00000.001411.61000.00114732.3343366.8124372.462358.330.000.0066192.51621414.930.000.000.000.00000.0044235.7900003066.96000.0028317.119
3월명동295698.27685972.6240.00000.0076250.034000.00133946.5564412.9425652.05476.710.000.0044917.01180.000.000.00761.980.00000.000.0000005129.25000.002179.45
4신창동63087.93010.000.00000.000.00000.0044110.22470.000.0087.410.000.0018255.9490.000.000.000.000.00000.000.000000634.44000.000.00
5오룡동149443.4105115033.01160.00000.001151.04000.0088155.17270.0014401.032354.010.000.0022229.11910.000.000.000.000.0000265.023621.2200002142.03000.0092.02
6금광동119216.04961513.4180.00000.0040753.08000.0052483.63860.007062.07579.010.000.0012637.0700.000.000.000.000.00000.000.0000004188.06000.000.00
7신풍동156106.186225955.3940.00000.0015755.78000.0080904.65680.000.00140.220.00262.8126008.91800.000.000.00360.020.00000.000.0000000.00006718.670.00
8송풍동394312.782488158.72083007.015000.00135534.064000.0054843.83370.0083466.4141951.250.000.0024828.61700.000.000.00634.060.000097.010.000000682.01000.001110.03
9문화동651661.8158813643.0179084.049000.0024102.019000.00349632.11228636.0199496.7231692.430.000.00129050.92160.000.00595.058214.0130.00000.000.00000015030.71100120.01365.02
토지소재지총면적총지번수전면적전지번수답면적답지번수과수원면적과수원지번수목장용지면적목장용지지번수임야면적임야지번수광천면적광천지번수염전면적염전지번수대면적대지번수공장용지면적공장용지지번수학교용지면적학교용지지번수주차장면적주차장지번수주유소용지면적주유소용지지번수창고용지면적창고용지지번수도로면적도로지번수철도용지면적철도용지지번수제방면적제방지번수하천면적하천지번수구거면적구거지번수유지면적유지지번수양어장면적양어장지번수수도용지면적수도용지지번수공원면적공원지번수체육용지면적체육용지지번수유원지면적유원지지번수종교용지면적종교용지지번수사적지면적사적지지번수묘지면적묘지지번수잡종지면적잡종지지번수
53옥산면16746210.013398727786.014558975327.04184163645592.063569702.01369000.00752134.4189241682.02733153.0305420.4118232.0784552.0861072437.8319341611.0849013.0290.00772711.0653415627.0500055017.01782793.56164904008415.0140073663.06373214.953
54회현면38273806.016162847584.4163715116314.057880020516.0293375373.0128200167938.021968613.8248547290.02169452.0274317.051301.0178575.2951102199.329670.00126173.320913885033.03751137086.48681080538.0173656420.001004.21001642110893.01100122887.084102511.480
55임피면21967302.3180281888570.931308563909.84098231988135407.7655956186.02240000.001070954.52802307444.473336192.02527702.1113878.0555302.9661562537.3387771960.01622242.059280958.04719426.3971356892.112018662635.4130117.523398410021598.016723418121555.098397550.4299
56서수면24238021.9183132500864.7376610412351.93911121915198441.0925825878.02043000.001061789.82634437879.0128126591.093751.044237.0470202.1591527722.339260.0058448.067128118.0601123515.6978185109.081283310.001458.02000020924.03100109961.0126425756.5386
57대야면37818561.2262291019924.9196723419900.396760030732.4253389946.01604000.001450194.9441550774.32594662.0346818.076077.01379303.0852671664.74567146290.07391128.02282652426.04872249500.1246794370.04217110553470.82180.002981630017259.0180073204.065173989.8205
58개정면16803701.3179511599826.029838376882.0483411675217513.0153121736.01845000.00996087.8251683124.04041142.0610566.177673.0845882.0631190146.04042199947.032628022.03517626.012718439.676784358.0343219466902.02202749.411684720013843.0190055144.08794351.483
59성산면27405382.0193722487614.236185027011.733794959133178.02610719046.02923000.001049684.92171266409.858110756.71113860.01013074.31255758.5621969574.251939974.024103075.0543827914.025493462.41052600746.81161963264777.02512546.456510240247216731.01900113093.668373414.5288
60나포면31079972.3150431906309.029007521366.036367919823104075.05010727491.02323000.00874612.3187852240.02435006.0101684.25458.0129720.0381086459.826290.0080467.01136362988.01121127530.7874315529.096000.004324.16000014418.01000112580.083643516.2232
61옥도면23555088.682161299237.12316520109.95794684313039.91216077933.9245600230698.215383039.512931128.0248391.63210128.520.0013800.812923575.88250.00561682.8450.0049249.75067130.8135950542039.1672374.4100337615851.990094818.5613196848.2417
62옥서면20883809.811913893392.814795675395.62471648628709.043430844.065600778431.082791632.2245718091.0833875.086849.156254.0649554.253620900.7187876823.061108596.0351759.09703472.4719195244.0551664240.001045.731717287113007995.0100031219.0305703312.11765