Overview

Dataset statistics

Number of variables30
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory273.9 B

Variable types

Categorical6
Text1
Numeric23

Dataset

Description대전광역시 서구 토지지목별 현황(기준연도, 읍면동, 전, 답, 과수원, 목장용지, 임야, 광천지, 염전, 대지, 공장용지, 학교용지, 주차장, 주유소용지, 창고용지, 도로, 철도용지, 제방, 하천, 구거, 유지, 양어장, 수도용지, 공원, 체육용지, 유원지, 종교용지, 사적지, 묘지, 잡종지) 데이터 입니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15095165/fileData.do

Alerts

기준연도 has constant value ""Constant
광천지 has constant value ""Constant
염전 has constant value ""Constant
양어장 is highly imbalanced (77.1%)Imbalance
유원지 is highly imbalanced (77.1%)Imbalance
사적지 is highly imbalanced (77.1%)Imbalance
읍면동 has unique valuesUnique
대지 has unique valuesUnique
도로 has unique valuesUnique
구거 has unique valuesUnique
전 has 2 (7.4%) zerosZeros
답 has 4 (14.8%) zerosZeros
과수원 has 17 (63.0%) zerosZeros
목장용지 has 17 (63.0%) zerosZeros
임야 has 3 (11.1%) zerosZeros
공장용지 has 10 (37.0%) zerosZeros
학교용지 has 6 (22.2%) zerosZeros
주차장 has 4 (14.8%) zerosZeros
주유소용지 has 9 (33.3%) zerosZeros
창고용지 has 7 (25.9%) zerosZeros
철도용지 has 18 (66.7%) zerosZeros
제방 has 6 (22.2%) zerosZeros
하천 has 3 (11.1%) zerosZeros
구거 has 1 (3.7%) zerosZeros
유지 has 18 (66.7%) zerosZeros
수도용지 has 19 (70.4%) zerosZeros
공원 has 10 (37.0%) zerosZeros
체육용지 has 20 (74.1%) zerosZeros
종교용지 has 5 (18.5%) zerosZeros
묘지 has 16 (59.3%) zerosZeros
잡종지 has 2 (7.4%) zerosZeros

Reproduction

Analysis started2023-12-12 09:45:40.949281
Analysis finished2023-12-12 09:45:41.221173
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2021
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 27
100.0%

Length

2023-12-12T18:45:41.288191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:45:41.408858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 27
100.0%

읍면동
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T18:45:41.615458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9259259
Min length2

Characters and Unicode

Total characters79
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row복수동
2nd row변동
3rd row도마동
4th row정림동
5th row용문동
ValueCountFrequency (%)
복수동 1
 
3.7%
관저동 1
 
3.7%
괴곡동 1
 
3.7%
봉곡동 1
 
3.7%
용촌동 1
 
3.7%
원정동 1
 
3.7%
우명동 1
 
3.7%
오동 1
 
3.7%
평촌동 1
 
3.7%
장안동 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T18:45:42.041441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 27
34.2%
정 3
 
3.8%
괴 2
 
2.5%
원 2
 
2.5%
산 2
 
2.5%
장 2
 
2.5%
가 2
 
2.5%
수 2
 
2.5%
평 2
 
2.5%
용 2
 
2.5%
Other values (28) 33
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
34.2%
정 3
 
3.8%
괴 2
 
2.5%
원 2
 
2.5%
산 2
 
2.5%
장 2
 
2.5%
가 2
 
2.5%
수 2
 
2.5%
평 2
 
2.5%
용 2
 
2.5%
Other values (28) 33
41.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
34.2%
정 3
 
3.8%
괴 2
 
2.5%
원 2
 
2.5%
산 2
 
2.5%
장 2
 
2.5%
가 2
 
2.5%
수 2
 
2.5%
평 2
 
2.5%
용 2
 
2.5%
Other values (28) 33
41.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 27
34.2%
정 3
 
3.8%
괴 2
 
2.5%
원 2
 
2.5%
산 2
 
2.5%
장 2
 
2.5%
가 2
 
2.5%
수 2
 
2.5%
평 2
 
2.5%
용 2
 
2.5%
Other values (28) 33
41.8%

전
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149065.31
Minimum0
Maximum481149.3
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:42.186738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile148.8
Q13460
median97422
Q3254985
95-th percentile453075.2
Maximum481149.3
Range481149.3
Interquartile range (IQR)251525

Descriptive statistics

Standard deviation163005.05
Coefficient of variation (CV)1.0935143
Kurtosis-0.71765417
Mean149065.31
Median Absolute Deviation (MAD)96276
Skewness0.80858204
Sum4024763.5
Variance2.6570648 × 1010
MonotonicityNot monotonic
2023-12-12T18:45:42.333537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 2
 
7.4%
27944.0 1
 
3.7%
141495.0 1
 
3.7%
469064.0 1
 
3.7%
212807.0 1
 
3.7%
120156.0 1
 
3.7%
374568.3 1
 
3.7%
248225.0 1
 
3.7%
261745.0 1
 
3.7%
415768.0 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
0.0 2
7.4%
496.0 1
3.7%
1146.0 1
3.7%
1222.0 1
3.7%
1539.0 1
3.7%
2148.0 1
3.7%
4772.0 1
3.7%
8447.0 1
3.7%
24149.0 1
3.7%
27944.0 1
3.7%
ValueCountFrequency (%)
481149.3 1
3.7%
469064.0 1
3.7%
415768.0 1
3.7%
377969.0 1
3.7%
374568.3 1
3.7%
305009.0 1
3.7%
261745.0 1
3.7%
248225.0 1
3.7%
220927.2 1
3.7%
212807.0 1
3.7%

답
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231195.82
Minimum0
Maximum857587.1
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:42.458129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1646
median82697
Q3503858.55
95-th percentile578680.5
Maximum857587.1
Range857587.1
Interquartile range (IQR)503212.55

Descriptive statistics

Standard deviation266057.7
Coefficient of variation (CV)1.1507894
Kurtosis-0.82569384
Mean231195.82
Median Absolute Deviation (MAD)82697
Skewness0.73637247
Sum6242287.1
Variance7.0786698 × 1010
MonotonicityNot monotonic
2023-12-12T18:45:42.573723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 4
 
14.8%
31.0 2
 
7.4%
1652.0 1
 
3.7%
548300.1 1
 
3.7%
574162.0 1
 
3.7%
356048.0 1
 
3.7%
580617.0 1
 
3.7%
857587.1 1
 
3.7%
446871.3 1
 
3.7%
231068.0 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0.0 4
14.8%
31.0 2
7.4%
532.0 1
 
3.7%
760.0 1
 
3.7%
935.0 1
 
3.7%
1652.0 1
 
3.7%
2458.7 1
 
3.7%
38605.6 1
 
3.7%
62669.0 1
 
3.7%
82697.0 1
 
3.7%
ValueCountFrequency (%)
857587.1 1
3.7%
580617.0 1
3.7%
574162.0 1
3.7%
557178.3 1
3.7%
552207.0 1
3.7%
550610.0 1
3.7%
548300.1 1
3.7%
459417.0 1
3.7%
446871.3 1
3.7%
356048.0 1
3.7%

과수원
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4367.8519
Minimum0
Maximum29730
Zeros17
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:42.674328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35434.5
95-th percentile23589.7
Maximum29730
Range29730
Interquartile range (IQR)5434.5

Descriptive statistics

Standard deviation8071.8042
Coefficient of variation (CV)1.8480032
Kurtosis4.3483999
Mean4367.8519
Median Absolute Deviation (MAD)0
Skewness2.207419
Sum117932
Variance65154023
MonotonicityNot monotonic
2023-12-12T18:45:42.775973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 17
63.0%
4120 1
 
3.7%
17786 1
 
3.7%
8567 1
 
3.7%
29730 1
 
3.7%
6846 1
 
3.7%
2761 1
 
3.7%
5608 1
 
3.7%
5261 1
 
3.7%
11176 1
 
3.7%
ValueCountFrequency (%)
0 17
63.0%
2761 1
 
3.7%
4120 1
 
3.7%
5261 1
 
3.7%
5608 1
 
3.7%
6846 1
 
3.7%
8567 1
 
3.7%
11176 1
 
3.7%
17786 1
 
3.7%
26077 1
 
3.7%
ValueCountFrequency (%)
29730 1
3.7%
26077 1
3.7%
17786 1
3.7%
11176 1
3.7%
8567 1
3.7%
6846 1
3.7%
5608 1
3.7%
5261 1
3.7%
4120 1
3.7%
2761 1
3.7%

목장용지
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2726.1407
Minimum0
Maximum22671
Zeros17
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:42.874054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32048
95-th percentile11770.09
Maximum22671
Range22671
Interquartile range (IQR)2048

Descriptive statistics

Standard deviation5463.076
Coefficient of variation (CV)2.0039596
Kurtosis6.1752536
Mean2726.1407
Median Absolute Deviation (MAD)0
Skewness2.4261281
Sum73605.8
Variance29845200
MonotonicityNot monotonic
2023-12-12T18:45:42.966146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 17
63.0%
10832.3 1
 
3.7%
641.0 1
 
3.7%
3104.0 1
 
3.7%
817.0 1
 
3.7%
7546.0 1
 
3.7%
992.0 1
 
3.7%
4369.5 1
 
3.7%
12172.0 1
 
3.7%
22671.0 1
 
3.7%
ValueCountFrequency (%)
0.0 17
63.0%
641.0 1
 
3.7%
817.0 1
 
3.7%
992.0 1
 
3.7%
3104.0 1
 
3.7%
4369.5 1
 
3.7%
7546.0 1
 
3.7%
10461.0 1
 
3.7%
10832.3 1
 
3.7%
12172.0 1
 
3.7%
ValueCountFrequency (%)
22671.0 1
3.7%
12172.0 1
3.7%
10832.3 1
3.7%
10461.0 1
3.7%
7546.0 1
3.7%
4369.5 1
3.7%
3104.0 1
3.7%
992.0 1
3.7%
817.0 1
3.7%
641.0 1
3.7%

임야
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1743705.7
Minimum0
Maximum9319702
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:43.062113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1141793.75
median1136816
Q32412036
95-th percentile4658634.6
Maximum9319702
Range9319702
Interquartile range (IQR)2270242.2

Descriptive statistics

Standard deviation2102640.5
Coefficient of variation (CV)1.205846
Kurtosis5.3960612
Mean1743705.7
Median Absolute Deviation (MAD)1046212
Skewness2.017504
Sum47080054
Variance4.4210972 × 1012
MonotonicityNot monotonic
2023-12-12T18:45:43.169857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 3
 
11.1%
367855.0 1
 
3.7%
2116953.0 1
 
3.7%
7180.0 1
 
3.7%
3541952.0 1
 
3.7%
3373724.0 1
 
3.7%
1246693.0 1
 
3.7%
4492236.8 1
 
3.7%
1746622.0 1
 
3.7%
2707119.0 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
0.0 3
11.1%
7180.0 1
 
3.7%
43973.0 1
 
3.7%
66763.0 1
 
3.7%
90604.0 1
 
3.7%
192983.5 1
 
3.7%
207478.6 1
 
3.7%
367855.0 1
 
3.7%
572847.0 1
 
3.7%
808944.4 1
 
3.7%
ValueCountFrequency (%)
9319702.0 1
3.7%
4729948.0 1
3.7%
4492236.8 1
3.7%
3601052.0 1
3.7%
3541952.0 1
3.7%
3373724.0 1
3.7%
2707119.0 1
3.7%
2116953.0 1
3.7%
2108850.0 1
3.7%
1897669.2 1
3.7%

광천지
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
27 

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 27
100.0%

Length

2023-12-12T18:45:43.300210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:45:43.396160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
100.0%

염전
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
27 

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 27
100.0%

Length

2023-12-12T18:45:43.489475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:45:43.580529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
100.0%

대지
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean573407.44
Minimum46698
Maximum2419555.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:43.687973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46698
5-th percentile52357.15
Q1109746.9
median376007
Q3834957.65
95-th percentile1580753.4
Maximum2419555.4
Range2372857.4
Interquartile range (IQR)725210.75

Descriptive statistics

Standard deviation580961.07
Coefficient of variation (CV)1.0131732
Kurtosis2.6917148
Mean573407.44
Median Absolute Deviation (MAD)280365.9
Skewness1.5653863
Sum15482001
Variance3.3751576 × 1011
MonotonicityNot monotonic
2023-12-12T18:45:43.815157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
548080.4 1
 
3.7%
777795.6 1
 
3.7%
345809.3 1
 
3.7%
101592.0 1
 
3.7%
46698.0 1
 
3.7%
64373.0 1
 
3.7%
117901.8 1
 
3.7%
47207.5 1
 
3.7%
101169.0 1
 
3.7%
157191.0 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
46698.0 1
3.7%
47207.5 1
3.7%
64373.0 1
3.7%
90951.0 1
3.7%
95641.1 1
3.7%
101169.0 1
3.7%
101592.0 1
3.7%
117901.8 1
3.7%
144513.0 1
3.7%
157191.0 1
3.7%
ValueCountFrequency (%)
2419555.4 1
3.7%
1621239.3 1
3.7%
1486286.4 1
3.7%
1142643.4 1
3.7%
1080965.4 1
3.7%
862175.0 1
3.7%
836233.2 1
3.7%
833682.1 1
3.7%
777795.6 1
3.7%
588180.9 1
3.7%

공장용지
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8418.9148
Minimum0
Maximum102215
Zeros10
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:43.929135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1453
Q35522.6
95-th percentile40346.3
Maximum102215
Range102215
Interquartile range (IQR)5522.6

Descriptive statistics

Standard deviation21247.808
Coefficient of variation (CV)2.5238179
Kurtosis15.646111
Mean8418.9148
Median Absolute Deviation (MAD)1453
Skewness3.8186697
Sum227310.7
Variance4.5146935 × 108
MonotonicityNot monotonic
2023-12-12T18:45:44.043978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 10
37.0%
1576.0 1
 
3.7%
556.0 1
 
3.7%
1481.0 1
 
3.7%
6691.0 1
 
3.7%
102215.0 1
 
3.7%
21902.0 1
 
3.7%
2973.0 1
 
3.7%
1513.0 1
 
3.7%
3344.0 1
 
3.7%
Other values (8) 8
29.6%
ValueCountFrequency (%)
0.0 10
37.0%
314.0 1
 
3.7%
556.0 1
 
3.7%
1235.8 1
 
3.7%
1453.0 1
 
3.7%
1481.0 1
 
3.7%
1513.0 1
 
3.7%
1576.0 1
 
3.7%
2973.0 1
 
3.7%
3344.0 1
 
3.7%
ValueCountFrequency (%)
102215.0 1
3.7%
48251.0 1
3.7%
21902.0 1
3.7%
11761.3 1
3.7%
10999.4 1
3.7%
6691.0 1
3.7%
5652.2 1
3.7%
5393.0 1
3.7%
3344.0 1
3.7%
2973.0 1
3.7%

학교용지
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87129.256
Minimum0
Maximum395038.9
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:44.167842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15218.5
median22940
Q3103170.65
95-th percentile390201.25
Maximum395038.9
Range395038.9
Interquartile range (IQR)97952.15

Descriptive statistics

Standard deviation132044.67
Coefficient of variation (CV)1.5155033
Kurtosis1.5964971
Mean87129.256
Median Absolute Deviation (MAD)22940
Skewness1.7253357
Sum2352489.9
Variance1.7435796 × 1010
MonotonicityNot monotonic
2023-12-12T18:45:44.302120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 6
22.2%
382072.5 1
 
3.7%
31287.0 1
 
3.7%
48758.2 1
 
3.7%
33662.0 1
 
3.7%
9706.0 1
 
3.7%
731.0 1
 
3.7%
12175.0 1
 
3.7%
22940.0 1
 
3.7%
395038.9 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0.0 6
22.2%
731.0 1
 
3.7%
9706.0 1
 
3.7%
11904.0 1
 
3.7%
12175.0 1
 
3.7%
14282.6 1
 
3.7%
14562.3 1
 
3.7%
16953.9 1
 
3.7%
22940.0 1
 
3.7%
31287.0 1
 
3.7%
ValueCountFrequency (%)
395038.9 1
3.7%
393685.0 1
3.7%
382072.5 1
3.7%
355565.5 1
3.7%
147882.9 1
3.7%
133617.1 1
3.7%
116740.9 1
3.7%
89600.4 1
3.7%
62709.4 1
3.7%
58615.3 1
3.7%

주차장
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6492.5852
Minimum0
Maximum28964.5
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:44.434993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1956.95
median4210.2
Q38652.85
95-th percentile21473.64
Maximum28964.5
Range28964.5
Interquartile range (IQR)7695.9

Descriptive statistics

Standard deviation7370.4673
Coefficient of variation (CV)1.135213
Kurtosis2.7379877
Mean6492.5852
Median Absolute Deviation (MAD)3731.2
Skewness1.6595414
Sum175299.8
Variance54323788
MonotonicityNot monotonic
2023-12-12T18:45:44.545457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 4
 
14.8%
5599.7 1
 
3.7%
23806.8 1
 
3.7%
6680.9 1
 
3.7%
10295.0 1
 
3.7%
100.0 1
 
3.7%
5095.0 1
 
3.7%
1753.0 1
 
3.7%
990.0 1
 
3.7%
6848.0 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0.0 4
14.8%
100.0 1
 
3.7%
479.0 1
 
3.7%
923.9 1
 
3.7%
990.0 1
 
3.7%
1634.0 1
 
3.7%
1753.0 1
 
3.7%
2821.2 1
 
3.7%
3656.8 1
 
3.7%
3714.8 1
 
3.7%
ValueCountFrequency (%)
28964.5 1
3.7%
23806.8 1
3.7%
16029.6 1
3.7%
14786.2 1
3.7%
12163.9 1
3.7%
10295.0 1
3.7%
9242.3 1
3.7%
8063.4 1
3.7%
7441.6 1
3.7%
6848.0 1
3.7%

주유소용지
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2671.5852
Minimum0
Maximum10575.7
Zeros9
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:44.664997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1153.3
Q34724.2
95-th percentile9161.58
Maximum10575.7
Range10575.7
Interquartile range (IQR)4724.2

Descriptive statistics

Standard deviation3189.8306
Coefficient of variation (CV)1.1939842
Kurtosis0.52283524
Mean2671.5852
Median Absolute Deviation (MAD)1153.3
Skewness1.1936504
Sum72132.8
Variance10175019
MonotonicityNot monotonic
2023-12-12T18:45:44.774164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 9
33.3%
5474.6 1
 
3.7%
1051.4 1
 
3.7%
947.0 1
 
3.7%
703.2 1
 
3.7%
1153.3 1
 
3.7%
10110.6 1
 
3.7%
5432.0 1
 
3.7%
6860.0 1
 
3.7%
4016.4 1
 
3.7%
Other values (9) 9
33.3%
ValueCountFrequency (%)
0.0 9
33.3%
703.2 1
 
3.7%
741.1 1
 
3.7%
947.0 1
 
3.7%
1051.4 1
 
3.7%
1153.3 1
 
3.7%
1414.5 1
 
3.7%
1822.2 1
 
3.7%
2201.3 1
 
3.7%
2955.4 1
 
3.7%
ValueCountFrequency (%)
10575.7 1
3.7%
10110.6 1
3.7%
6947.2 1
3.7%
6860.0 1
3.7%
5778.2 1
3.7%
5474.6 1
3.7%
5432.0 1
3.7%
4016.4 1
3.7%
3948.7 1
3.7%
2955.4 1
3.7%

창고용지
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1623.7407
Minimum0
Maximum7464
Zeros7
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:44.889709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q152.5
median1097
Q31952.5
95-th percentile6192.87
Maximum7464
Range7464
Interquartile range (IQR)1900

Descriptive statistics

Standard deviation2044.1545
Coefficient of variation (CV)1.2589168
Kurtosis2.2972522
Mean1623.7407
Median Absolute Deviation (MAD)1041
Skewness1.695661
Sum43841
Variance4178567.7
MonotonicityNot monotonic
2023-12-12T18:45:45.028473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 7
25.9%
3983.7 1
 
3.7%
2916.0 1
 
3.7%
1529.0 1
 
3.7%
691.0 1
 
3.7%
2138.0 1
 
3.7%
2793.0 1
 
3.7%
1504.0 1
 
3.7%
1767.0 1
 
3.7%
1097.0 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0.0 7
25.9%
105.0 1
 
3.7%
214.5 1
 
3.7%
449.6 1
 
3.7%
691.0 1
 
3.7%
721.9 1
 
3.7%
942.3 1
 
3.7%
1097.0 1
 
3.7%
1125.0 1
 
3.7%
1144.0 1
 
3.7%
ValueCountFrequency (%)
7464.0 1
3.7%
6516.6 1
3.7%
5437.5 1
3.7%
3983.7 1
3.7%
2916.0 1
3.7%
2793.0 1
3.7%
2138.0 1
3.7%
1767.0 1
3.7%
1529.0 1
3.7%
1504.0 1
3.7%

도로
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300750.77
Minimum51964
Maximum1188232.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:45.158832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51964
5-th percentile54001.2
Q197385.75
median234055.9
Q3347979.9
95-th percentile881030.94
Maximum1188232.3
Range1136268.3
Interquartile range (IQR)250594.15

Descriptive statistics

Standard deviation281637.5
Coefficient of variation (CV)0.93644816
Kurtosis3.3559696
Mean300750.77
Median Absolute Deviation (MAD)138172.4
Skewness1.8220203
Sum8120270.7
Variance7.9319682 × 1010
MonotonicityNot monotonic
2023-12-12T18:45:45.319648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
234055.9 1
 
3.7%
299065.2 1
 
3.7%
278540.9 1
 
3.7%
291996.0 1
 
3.7%
98888.0 1
 
3.7%
51964.0 1
 
3.7%
74404.9 1
 
3.7%
119346.5 1
 
3.7%
60143.0 1
 
3.7%
95821.0 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
51964.0 1
3.7%
52701.0 1
3.7%
57035.0 1
3.7%
60143.0 1
3.7%
74404.9 1
3.7%
95821.0 1
3.7%
95883.5 1
3.7%
98888.0 1
3.7%
119346.5 1
3.7%
133819.1 1
3.7%
ValueCountFrequency (%)
1188232.3 1
3.7%
969151.2 1
3.7%
675417.0 1
3.7%
593537.4 1
3.7%
516204.2 1
3.7%
463704.9 1
3.7%
396894.6 1
3.7%
299065.2 1
3.7%
291996.0 1
3.7%
278540.9 1
3.7%

철도용지
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19860.959
Minimum0
Maximum112542.2
Zeros18
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:45.439679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q328211.7
95-th percentile92203.6
Maximum112542.2
Range112542.2
Interquartile range (IQR)28211.7

Descriptive statistics

Standard deviation33931.322
Coefficient of variation (CV)1.7084432
Kurtosis1.5662766
Mean19860.959
Median Absolute Deviation (MAD)0
Skewness1.6395642
Sum536245.9
Variance1.1513346 × 109
MonotonicityNot monotonic
2023-12-12T18:45:45.565286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 18
66.7%
26867.0 1
 
3.7%
29556.4 1
 
3.7%
23844.0 1
 
3.7%
70842.0 1
 
3.7%
112542.2 1
 
3.7%
35067.3 1
 
3.7%
80305.0 1
 
3.7%
97303.0 1
 
3.7%
59919.0 1
 
3.7%
ValueCountFrequency (%)
0.0 18
66.7%
23844.0 1
 
3.7%
26867.0 1
 
3.7%
29556.4 1
 
3.7%
35067.3 1
 
3.7%
59919.0 1
 
3.7%
70842.0 1
 
3.7%
80305.0 1
 
3.7%
97303.0 1
 
3.7%
112542.2 1
 
3.7%
ValueCountFrequency (%)
112542.2 1
 
3.7%
97303.0 1
 
3.7%
80305.0 1
 
3.7%
70842.0 1
 
3.7%
59919.0 1
 
3.7%
35067.3 1
 
3.7%
29556.4 1
 
3.7%
26867.0 1
 
3.7%
23844.0 1
 
3.7%
0.0 18
66.7%

제방
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12572.03
Minimum0
Maximum96090
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:45.719008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1205
median3675
Q317072
95-th percentile38259.59
Maximum96090
Range96090
Interquartile range (IQR)16867

Descriptive statistics

Standard deviation20655.513
Coefficient of variation (CV)1.6429736
Kurtosis9.9270141
Mean12572.03
Median Absolute Deviation (MAD)3675
Skewness2.8442811
Sum339444.8
Variance4.2665021 × 108
MonotonicityNot monotonic
2023-12-12T18:45:45.853572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 6
22.2%
4095.0 1
 
3.7%
2442.0 1
 
3.7%
33983.6 1
 
3.7%
17678.0 1
 
3.7%
4570.0 1
 
3.7%
24045.0 1
 
3.7%
96090.0 1
 
3.7%
596.0 1
 
3.7%
10751.0 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0.0 6
22.2%
46.0 1
 
3.7%
364.0 1
 
3.7%
596.0 1
 
3.7%
721.0 1
 
3.7%
2442.0 1
 
3.7%
2623.5 1
 
3.7%
3351.1 1
 
3.7%
3675.0 1
 
3.7%
4095.0 1
 
3.7%
ValueCountFrequency (%)
96090.0 1
3.7%
40061.0 1
3.7%
34056.3 1
3.7%
33983.6 1
3.7%
26320.6 1
3.7%
24045.0 1
3.7%
17678.0 1
3.7%
16466.0 1
3.7%
10751.0 1
3.7%
10733.0 1
3.7%

하천
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183179.36
Minimum0
Maximum687393.7
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:46.012406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q141915.5
median79028
Q3333123.2
95-th percentile514622.86
Maximum687393.7
Range687393.7
Interquartile range (IQR)291207.7

Descriptive statistics

Standard deviation187828.94
Coefficient of variation (CV)1.0253827
Kurtosis0.48832956
Mean183179.36
Median Absolute Deviation (MAD)79028
Skewness1.1378009
Sum4945842.7
Variance3.5279711 × 1010
MonotonicityNot monotonic
2023-12-12T18:45:46.154085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 3
 
11.1%
67348.0 1
 
3.7%
64552.3 1
 
3.7%
358236.0 1
 
3.7%
487792.0 1
 
3.7%
342891.0 1
 
3.7%
169851.0 1
 
3.7%
323355.4 1
 
3.7%
74043.8 1
 
3.7%
42704.0 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
0.0 3
11.1%
26993.0 1
 
3.7%
39412.0 1
 
3.7%
40332.7 1
 
3.7%
41127.0 1
 
3.7%
42704.0 1
 
3.7%
45721.0 1
 
3.7%
62274.0 1
 
3.7%
64552.3 1
 
3.7%
67348.0 1
 
3.7%
ValueCountFrequency (%)
687393.7 1
3.7%
526121.8 1
3.7%
487792.0 1
3.7%
408500.0 1
3.7%
358236.0 1
3.7%
355355.0 1
3.7%
342891.0 1
3.7%
323355.4 1
3.7%
225881.0 1
3.7%
190058.0 1
3.7%

구거
Real number (ℝ)

UNIQUE  ZEROS 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52491.793
Minimum0
Maximum234172
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:46.303306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile94.76
Q16091
median31849.4
Q374128.7
95-th percentile170393.1
Maximum234172
Range234172
Interquartile range (IQR)68037.7

Descriptive statistics

Standard deviation60661.315
Coefficient of variation (CV)1.1556343
Kurtosis2.1143473
Mean52491.793
Median Absolute Deviation (MAD)30390.4
Skewness1.5406077
Sum1417278.4
Variance3.6797951 × 109
MonotonicityNot monotonic
2023-12-12T18:45:46.436043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1459.0 1
 
3.7%
7859.7 1
 
3.7%
3727.0 1
 
3.7%
152058.0 1
 
3.7%
96444.0 1
 
3.7%
234172.0 1
 
3.7%
178251.0 1
 
3.7%
38429.9 1
 
3.7%
49992.0 1
 
3.7%
84840.0 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
0.0 1
3.7%
26.0 1
3.7%
255.2 1
3.7%
473.0 1
3.7%
1459.0 1
3.7%
3727.0 1
3.7%
4322.3 1
3.7%
7859.7 1
3.7%
8283.0 1
3.7%
13710.6 1
3.7%
ValueCountFrequency (%)
234172.0 1
3.7%
178251.0 1
3.7%
152058.0 1
3.7%
127470.0 1
3.7%
96444.0 1
3.7%
84840.0 1
3.7%
74953.4 1
3.7%
73304.0 1
3.7%
66795.0 1
3.7%
61086.9 1
3.7%

유지
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5252.1185
Minimum0
Maximum70955
Zeros18
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:46.552191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31201.8
95-th percentile30850.36
Maximum70955
Range70955
Interquartile range (IQR)1201.8

Descriptive statistics

Standard deviation15238.772
Coefficient of variation (CV)2.9014525
Kurtosis14.194476
Mean5252.1185
Median Absolute Deviation (MAD)0
Skewness3.6618378
Sum141807.2
Variance2.3222018 × 108
MonotonicityNot monotonic
2023-12-12T18:45:46.675853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 18
66.7%
19413.2 1
 
3.7%
1401.6 1
 
3.7%
9036.4 1
 
3.7%
70955.0 1
 
3.7%
245.0 1
 
3.7%
1746.0 1
 
3.7%
1002.0 1
 
3.7%
35752.0 1
 
3.7%
2256.0 1
 
3.7%
ValueCountFrequency (%)
0.0 18
66.7%
245.0 1
 
3.7%
1002.0 1
 
3.7%
1401.6 1
 
3.7%
1746.0 1
 
3.7%
2256.0 1
 
3.7%
9036.4 1
 
3.7%
19413.2 1
 
3.7%
35752.0 1
 
3.7%
70955.0 1
 
3.7%
ValueCountFrequency (%)
70955.0 1
 
3.7%
35752.0 1
 
3.7%
19413.2 1
 
3.7%
9036.4 1
 
3.7%
2256.0 1
 
3.7%
1746.0 1
 
3.7%
1401.6 1
 
3.7%
1002.0 1
 
3.7%
245.0 1
 
3.7%
0.0 18
66.7%

양어장
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
26 
959
 
1

Length

Max length3
Median length1
Mean length1.0740741
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
96.3%
959 1
 
3.7%

Length

2023-12-12T18:45:46.855567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:45:46.993594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
96.3%
959 1
 
3.7%

수도용지
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12222.378
Minimum0
Maximum234876
Zeros19
Zeros (%)70.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:47.081006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3475.85
95-th percentile60450.24
Maximum234876
Range234876
Interquartile range (IQR)475.85

Descriptive statistics

Standard deviation47286.639
Coefficient of variation (CV)3.8688576
Kurtosis20.694238
Mean12222.378
Median Absolute Deviation (MAD)0
Skewness4.4612536
Sum330004.2
Variance2.2360262 × 109
MonotonicityNot monotonic
2023-12-12T18:45:47.205154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 19
70.4%
314.0 1
 
3.7%
1740.5 1
 
3.7%
768.4 1
 
3.7%
83358.0 1
 
3.7%
234876.0 1
 
3.7%
637.7 1
 
3.7%
6998.8 1
 
3.7%
1310.8 1
 
3.7%
ValueCountFrequency (%)
0.0 19
70.4%
314.0 1
 
3.7%
637.7 1
 
3.7%
768.4 1
 
3.7%
1310.8 1
 
3.7%
1740.5 1
 
3.7%
6998.8 1
 
3.7%
83358.0 1
 
3.7%
234876.0 1
 
3.7%
ValueCountFrequency (%)
234876.0 1
 
3.7%
83358.0 1
 
3.7%
6998.8 1
 
3.7%
1740.5 1
 
3.7%
1310.8 1
 
3.7%
768.4 1
 
3.7%
637.7 1
 
3.7%
314.0 1
 
3.7%
0.0 19
70.4%

공원
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101596.07
Minimum0
Maximum827782.8
Zeros10
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:47.346305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9168.1
Q399294.05
95-th percentile539512.02
Maximum827782.8
Range827782.8
Interquartile range (IQR)99294.05

Descriptive statistics

Standard deviation203328.97
Coefficient of variation (CV)2.0013468
Kurtosis6.6191784
Mean101596.07
Median Absolute Deviation (MAD)9168.1
Skewness2.5906025
Sum2743093.9
Variance4.134267 × 1010
MonotonicityNot monotonic
2023-12-12T18:45:47.728322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 10
37.0%
29286.7 1
 
3.7%
274577.9 1
 
3.7%
608517.6 1
 
3.7%
5891.7 1
 
3.7%
378499.0 1
 
3.7%
827782.8 1
 
3.7%
16156.7 1
 
3.7%
109358.5 1
 
3.7%
107850.3 1
 
3.7%
Other values (8) 8
29.6%
ValueCountFrequency (%)
0.0 10
37.0%
1815.9 1
 
3.7%
5891.7 1
 
3.7%
7209.2 1
 
3.7%
9168.1 1
 
3.7%
10819.3 1
 
3.7%
12729.9 1
 
3.7%
16156.7 1
 
3.7%
29286.7 1
 
3.7%
42377.6 1
 
3.7%
ValueCountFrequency (%)
827782.8 1
3.7%
608517.6 1
3.7%
378499.0 1
3.7%
274577.9 1
3.7%
210314.9 1
3.7%
109358.5 1
3.7%
107850.3 1
3.7%
90737.8 1
3.7%
42377.6 1
3.7%
29286.7 1
3.7%

체육용지
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2483
Minimum0
Maximum20295
Zeros20
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:47.851443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3436.5
95-th percentile16178
Maximum20295
Range20295
Interquartile range (IQR)436.5

Descriptive statistics

Standard deviation5544.3723
Coefficient of variation (CV)2.2329329
Kurtosis5.6639663
Mean2483
Median Absolute Deviation (MAD)0
Skewness2.4968271
Sum67041
Variance30740064
MonotonicityNot monotonic
2023-12-12T18:45:47.979459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 20
74.1%
5876 1
 
3.7%
20295 1
 
3.7%
10004 1
 
3.7%
18824 1
 
3.7%
6515 1
 
3.7%
4654 1
 
3.7%
873 1
 
3.7%
ValueCountFrequency (%)
0 20
74.1%
873 1
 
3.7%
4654 1
 
3.7%
5876 1
 
3.7%
6515 1
 
3.7%
10004 1
 
3.7%
18824 1
 
3.7%
20295 1
 
3.7%
ValueCountFrequency (%)
20295 1
 
3.7%
18824 1
 
3.7%
10004 1
 
3.7%
6515 1
 
3.7%
5876 1
 
3.7%
4654 1
 
3.7%
873 1
 
3.7%
0 20
74.1%

유원지
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
26 
3646
 
1

Length

Max length4
Median length1
Mean length1.1111111
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
96.3%
3646 1
 
3.7%

Length

2023-12-12T18:45:48.106223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:45:48.199587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
96.3%
3646 1
 
3.7%

종교용지
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9730.1148
Minimum0
Maximum33645.2
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:48.293146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1857
median5909.7
Q313449.15
95-th percentile33088.4
Maximum33645.2
Range33645.2
Interquartile range (IQR)12592.15

Descriptive statistics

Standard deviation11132.463
Coefficient of variation (CV)1.1441245
Kurtosis0.17071254
Mean9730.1148
Median Absolute Deviation (MAD)5909.7
Skewness1.1726163
Sum262713.1
Variance1.2393172 × 108
MonotonicityNot monotonic
2023-12-12T18:45:48.442538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 5
 
18.5%
5197.3 1
 
3.7%
5909.7 1
 
3.7%
417.0 1
 
3.7%
1031.0 1
 
3.7%
1900.0 1
 
3.7%
22506.0 1
 
3.7%
7120.0 1
 
3.7%
683.0 1
 
3.7%
3579.8 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0.0 5
18.5%
417.0 1
 
3.7%
683.0 1
 
3.7%
1031.0 1
 
3.7%
1475.0 1
 
3.7%
1900.0 1
 
3.7%
3579.8 1
 
3.7%
4295.9 1
 
3.7%
5197.3 1
 
3.7%
5909.7 1
 
3.7%
ValueCountFrequency (%)
33645.2 1
3.7%
33114.8 1
3.7%
33026.8 1
3.7%
27306.6 1
3.7%
22506.0 1
3.7%
18413.3 1
3.7%
14048.3 1
3.7%
12850.0 1
3.7%
12831.0 1
3.7%
9995.6 1
3.7%

사적지
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
26 
19479
 
1

Length

Max length5
Median length1
Mean length1.1481481
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
96.3%
19479 1
 
3.7%

Length

2023-12-12T18:45:48.584149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:45:48.707366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
96.3%
19479 1
 
3.7%

묘지
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1867.3259
Minimum0
Maximum17157
Zeros16
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:48.790135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3194.4
95-th percentile14296.6
Maximum17157
Range17157
Interquartile range (IQR)194.4

Descriptive statistics

Standard deviation4707.4923
Coefficient of variation (CV)2.5209805
Kurtosis6.595431
Mean1867.3259
Median Absolute Deviation (MAD)0
Skewness2.7462602
Sum50417.8
Variance22160483
MonotonicityNot monotonic
2023-12-12T18:45:48.917105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 16
59.3%
87.0 1
 
3.7%
1048.0 1
 
3.7%
89.0 1
 
3.7%
9881.0 1
 
3.7%
17157.0 1
 
3.7%
99.0 1
 
3.7%
2618.0 1
 
3.7%
2861.0 1
 
3.7%
200.8 1
 
3.7%
Other values (2) 2
 
7.4%
ValueCountFrequency (%)
0.0 16
59.3%
87.0 1
 
3.7%
89.0 1
 
3.7%
99.0 1
 
3.7%
188.0 1
 
3.7%
200.8 1
 
3.7%
1048.0 1
 
3.7%
2618.0 1
 
3.7%
2861.0 1
 
3.7%
9881.0 1
 
3.7%
ValueCountFrequency (%)
17157.0 1
3.7%
16189.0 1
3.7%
9881.0 1
3.7%
2861.0 1
3.7%
2618.0 1
3.7%
1048.0 1
3.7%
200.8 1
3.7%
188.0 1
3.7%
99.0 1
3.7%
89.0 1
3.7%

잡종지
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16599.389
Minimum0
Maximum79268
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T18:45:49.054457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57.3
Q13381.55
median6284
Q317827.25
95-th percentile66162.24
Maximum79268
Range79268
Interquartile range (IQR)14445.7

Descriptive statistics

Standard deviation22536.138
Coefficient of variation (CV)1.3576486
Kurtosis1.9821266
Mean16599.389
Median Absolute Deviation (MAD)5985
Skewness1.7390612
Sum448183.5
Variance5.0787751 × 108
MonotonicityNot monotonic
2023-12-12T18:45:49.194610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 2
 
7.4%
79268.0 1
 
3.7%
48760.5 1
 
3.7%
13321.1 1
 
3.7%
21001.0 1
 
3.7%
191.0 1
 
3.7%
299.0 1
 
3.7%
7826.0 1
 
3.7%
6284.0 1
 
3.7%
14392.0 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
0.0 2
7.4%
191.0 1
3.7%
299.0 1
3.7%
1173.0 1
3.7%
2242.4 1
3.7%
3278.7 1
3.7%
3484.4 1
3.7%
3913.1 1
3.7%
4038.5 1
3.7%
4261.0 1
3.7%
ValueCountFrequency (%)
79268.0 1
3.7%
70189.8 1
3.7%
56764.6 1
3.7%
48760.5 1
3.7%
44521.4 1
3.7%
21001.0 1
3.7%
20698.7 1
3.7%
14955.8 1
3.7%
14392.0 1
3.7%
13321.1 1
3.7%

Sample

기준연도읍면동전답과수원목장용지임야광천지염전대지공장용지학교용지주차장주유소용지창고용지도로철도용지제방하천구거유지양어장수도용지공원체육용지유원지종교용지사적지묘지잡종지
02021복수동27944.01652.000.0367855.000548080.40.0382072.55599.70.00.0234055.926867.04095.067348.01459.00.000.029286.7587605197.3087.079268.0
12021변동1146.00.000.0207478.600777795.6314.089600.43656.85474.63983.7299065.20.00.062274.07859.70.00314.012729.9005909.700.03278.7
22021도마동8447.02458.700.0808944.4001486286.45652.2355565.512163.96947.2721.9516204.229556.446.079028.020730.40.001740.542377.620295014048.300.02242.4
32021정림동38843.738605.641200.01897669.200486951.75393.014282.69242.310575.75437.5269107.523844.010733.0170024.031849.40.000.010819.310004033026.801048.056764.6
42021용문동1222.0935.000.00.000575210.710999.414562.33714.8741.1942.3201445.00.06776.7190058.00.00.000.01815.9009995.600.00.0
52021탄방동1539.0760.000.066763.000836233.211761.316953.916029.61822.20.0396894.60.02623.541127.026.00.000.0210314.90033114.800.014955.8
62021괴정동4772.031.000.090604.000833682.11235.862709.48063.41414.51301.9239132.50.00.00.0255.20.000.07209.2004295.900.04038.5
72021가장동0.00.000.00.000376007.00.011904.0479.03948.7214.5133819.10.03351.126993.04322.30.000.09168.1006433.100.03484.4
82021내동496.031.000.043973.000588180.90.058615.32821.22201.3449.6177130.30.00.00.0473.00.00768.490737.80012831.000.06769.8
92021갈마동120660.0532.000.0192983.5001080965.40.0147882.94210.22955.40.0463704.90.00.00.013710.60.0083358.0107850.3006933.7089.05847.6
기준연도읍면동전답과수원목장용지임야광천지염전대지공장용지학교용지주차장주유소용지창고용지도로철도용지제방하천구거유지양어장수도용지공원체육용지유원지종교용지사적지묘지잡종지
172021산직동377969.0459417.056083104.03601052.00090951.01513.00.00.00.01097.052701.00.0364.045721.066795.00.000.00.0007120.0017157.01173.0
182021장안동305009.082697.05261817.09319702.000144513.02973.0731.06848.00.01767.057035.00.03675.039412.0127470.070955.000.00.0000.0099.04261.0
192021평촌동415768.0550610.0111767546.02108850.000157191.021902.09706.0990.0947.01504.095821.00.010751.0225881.084840.0245.000.00.00022506.002618.014392.0
202021오동261745.0231068.00992.02707119.000101169.0102215.00.01753.00.02793.060143.00.00.042704.049992.00.09590.00.087301900.000.06284.0
212021우명동248225.0446871.300.01746622.00047207.56691.00.05095.00.02138.0119346.50.0596.074043.838429.91746.000.00.0036461031.002861.07826.0
222021원정동374568.3857587.104369.54492236.800117901.80.00.00.00.0691.074404.980305.096090.0323355.4178251.01002.000.00.0000.00200.80.0
232021용촌동120156.0580617.0012172.01246693.00064373.01481.00.00.00.01529.051964.097303.024045.0169851.0234172.00.000.00.000417.00188.0299.0
242021봉곡동212807.0356048.0022671.03373724.00046698.00.00.0100.00.00.098888.00.04570.0342891.096444.035752.000.00.0000.000.0191.0
252021괴곡동469064.0574162.02607710461.03541952.000101592.0556.033662.010295.00.02916.0291996.059919.017678.0487792.0152058.02256.000.00.0000.0016189.021001.0
262021만년동0.00.000.07180.000345809.30.048758.26680.91051.40.0278540.90.033983.6358236.03727.00.000.0608517.6000.000.013321.1