Overview

Dataset statistics

Number of variables31
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory280.0 B

Variable types

Categorical7
Text1
Numeric23

Dataset

Description성남시 토지지목별 현황에 대한 데이터로, 소재지 및 토지지목(전,답,과수먹,목장용지,임야,광천,염전,대, 공장용지 등등) 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15004896/fileData.do

Alerts

임야 has constant value ""Constant
광천 has constant value ""Constant
과수원 is highly imbalanced (76.6%)Imbalance
양어장 is highly imbalanced (80.3%)Imbalance
유원지 is highly imbalanced (73.2%)Imbalance
사적지 is highly imbalanced (73.2%)Imbalance
토지소재지(동) has unique valuesUnique
목장용지 has unique valuesUnique
염전 has unique valuesUnique
대 has unique valuesUnique
도로 has unique valuesUnique
잡종지 has unique valuesUnique
총계 has 4 (9.1%) zerosZeros
전 has 2 (4.5%) zerosZeros
답 has 31 (70.5%) zerosZeros
공장용지 has 39 (88.6%) zerosZeros
학교용지 has 13 (29.5%) zerosZeros
주차장 has 7 (15.9%) zerosZeros
주유소용지 has 11 (25.0%) zerosZeros
창고용지 has 33 (75.0%) zerosZeros
철도용지 has 38 (86.4%) zerosZeros
제방 has 35 (79.5%) zerosZeros
하천 has 4 (9.1%) zerosZeros
구거 has 2 (4.5%) zerosZeros
유지 has 30 (68.2%) zerosZeros
수도용지 has 27 (61.4%) zerosZeros
공원 has 12 (27.3%) zerosZeros
체육용지 has 36 (81.8%) zerosZeros
종교용지 has 9 (20.5%) zerosZeros
묘지 has 26 (59.1%) zerosZeros
잡종지 has 1 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-12 10:17:40.572253
Analysis finished2023-12-12 10:17:40.936592
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지(구)
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
분당구
18 
수정구
17 
중원구
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 18
40.9%
수정구 17
38.6%
중원구 9
20.5%

Length

2023-12-12T19:17:41.013789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:41.511775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 18
40.9%
수정구 17
38.6%
중원구 9
20.5%

토지소재지(동)
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T19:17:41.807140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.0454545
Min length8

Characters and Unicode

Total characters398
Distinct characters74
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row10100-분당동
2nd row10200-수내동
3rd row10300-정자동
4th row10400-율동
5th row10500-서현동
ValueCountFrequency (%)
10100-분당동 1
 
2.3%
10200-수내동 1
 
2.3%
10600-양지동 1
 
2.3%
10800-갈현동 1
 
2.3%
10900-하대원동 1
 
2.3%
13200-중앙동 1
 
2.3%
10100-신흥동 1
 
2.3%
10200-태평동 1
 
2.3%
10300-수진동 1
 
2.3%
10400-단대동 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T19:17:42.247089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
29.1%
1 66
16.6%
동 45
 
11.3%
- 44
 
11.1%
3 6
 
1.5%
2 5
 
1.3%
7 5
 
1.3%
6 5
 
1.3%
5 5
 
1.3%
4 5
 
1.3%
Other values (64) 96
24.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
55.3%
Other Letter 134
33.7%
Dash Punctuation 44
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
33.6%
대 4
 
3.0%
원 3
 
2.2%
곡 3
 
2.2%
운 3
 
2.2%
금 3
 
2.2%
현 3
 
2.2%
수 3
 
2.2%
촌 2
 
1.5%
중 2
 
1.5%
Other values (53) 63
47.0%
Decimal Number
ValueCountFrequency (%)
0 116
52.7%
1 66
30.0%
3 6
 
2.7%
2 5
 
2.3%
7 5
 
2.3%
6 5
 
2.3%
5 5
 
2.3%
4 5
 
2.3%
8 4
 
1.8%
9 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
66.3%
Hangul 134
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
33.6%
대 4
 
3.0%
원 3
 
2.2%
곡 3
 
2.2%
운 3
 
2.2%
금 3
 
2.2%
현 3
 
2.2%
수 3
 
2.2%
촌 2
 
1.5%
중 2
 
1.5%
Other values (53) 63
47.0%
Common
ValueCountFrequency (%)
0 116
43.9%
1 66
25.0%
- 44
 
16.7%
3 6
 
2.3%
2 5
 
1.9%
7 5
 
1.9%
6 5
 
1.9%
5 5
 
1.9%
4 5
 
1.9%
8 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
66.3%
Hangul 134
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
43.9%
1 66
25.0%
- 44
 
16.7%
3 6
 
2.3%
2 5
 
1.9%
7 5
 
1.9%
6 5
 
1.9%
5 5
 
1.9%
4 5
 
1.9%
8 4
 
1.5%
Hangul
ValueCountFrequency (%)
동 45
33.6%
대 4
 
3.0%
원 3
 
2.2%
곡 3
 
2.2%
운 3
 
2.2%
금 3
 
2.2%
현 3
 
2.2%
수 3
 
2.2%
촌 2
 
1.5%
중 2
 
1.5%
Other values (53) 63
47.0%

총계
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113478.41
Minimum0
Maximum669231.8
Zeros4
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:42.386491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113129
median58085.05
Q3145610.75
95-th percentile434029.6
Maximum669231.8
Range669231.8
Interquartile range (IQR)132481.75

Descriptive statistics

Standard deviation148192.8
Coefficient of variation (CV)1.3059118
Kurtosis4.7996068
Mean113478.41
Median Absolute Deviation (MAD)52188.05
Skewness2.1458302
Sum4993049.9
Variance2.1961105 × 1010
MonotonicityNot monotonic
2023-12-12T19:17:42.534267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 4
 
9.1%
42978.0 1
 
2.3%
16569.0 1
 
2.3%
55673.7 1
 
2.3%
8629.0 1
 
2.3%
125355.0 1
 
2.3%
56651.0 1
 
2.3%
5868.0 1
 
2.3%
56583.0 1
 
2.3%
193642.3 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
0.0 4
9.1%
251.0 1
 
2.3%
256.0 1
 
2.3%
1093.0 1
 
2.3%
5049.0 1
 
2.3%
5868.0 1
 
2.3%
5926.0 1
 
2.3%
8629.0 1
 
2.3%
14629.0 1
 
2.3%
16569.0 1
 
2.3%
ValueCountFrequency (%)
669231.8 1
2.3%
525398.2 1
2.3%
445837.0 1
2.3%
367121.0 1
2.3%
310463.4 1
2.3%
255306.3 1
2.3%
193642.3 1
2.3%
187920.6 1
2.3%
183295.1 1
2.3%
180026.8 1
2.3%

전
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97025.723
Minimum0
Maximum505166.2
Zeros2
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:42.683354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile430.175
Q15770
median57740.5
Q3153173.15
95-th percentile269712.85
Maximum505166.2
Range505166.2
Interquartile range (IQR)147403.15

Descriptive statistics

Standard deviation111193.28
Coefficient of variation (CV)1.1460186
Kurtosis3.7396698
Mean97025.723
Median Absolute Deviation (MAD)55213.5
Skewness1.7542875
Sum4269131.8
Variance1.2363946 × 1010
MonotonicityNot monotonic
2023-12-12T19:17:42.846081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 2
 
4.5%
47959.0 1
 
2.3%
54754.0 1
 
2.3%
107043.2 1
 
2.3%
4963.0 1
 
2.3%
81459.0 1
 
2.3%
37142.0 1
 
2.3%
411.5 1
 
2.3%
836.0 1
 
2.3%
30577.0 1
 
2.3%
Other values (33) 33
75.0%
ValueCountFrequency (%)
0.0 2
4.5%
411.5 1
2.3%
536.0 1
2.3%
562.0 1
2.3%
836.0 1
2.3%
1144.0 1
2.3%
1507.0 1
2.3%
3547.0 1
2.3%
4240.0 1
2.3%
4963.0 1
2.3%
ValueCountFrequency (%)
505166.2 1
2.3%
402410.8 1
2.3%
274810.0 1
2.3%
240829.0 1
2.3%
222701.9 1
2.3%
216166.0 1
2.3%
202525.2 1
2.3%
185913.0 1
2.3%
181782.6 1
2.3%
168004.0 1
2.3%

답
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2468.5455
Minimum0
Maximum53432
Zeros31
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:42.975918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3568.75
95-th percentile8619.65
Maximum53432
Range53432
Interquartile range (IQR)568.75

Descriptive statistics

Standard deviation8319.5346
Coefficient of variation (CV)3.3702173
Kurtosis34.468362
Mean2468.5455
Median Absolute Deviation (MAD)0
Skewness5.6194699
Sum108616
Variance69214656
MonotonicityNot monotonic
2023-12-12T19:17:43.102355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 31
70.5%
919 1
 
2.3%
516 1
 
2.3%
437 1
 
2.3%
727 1
 
2.3%
5533 1
 
2.3%
6856 1
 
2.3%
7779 1
 
2.3%
9018 1
 
2.3%
53432 1
 
2.3%
Other values (4) 4
 
9.1%
ValueCountFrequency (%)
0 31
70.5%
437 1
 
2.3%
516 1
 
2.3%
727 1
 
2.3%
919 1
 
2.3%
1240 1
 
2.3%
5533 1
 
2.3%
6612 1
 
2.3%
6779 1
 
2.3%
6856 1
 
2.3%
ValueCountFrequency (%)
53432 1
2.3%
9018 1
2.3%
8768 1
2.3%
7779 1
2.3%
6856 1
2.3%
6779 1
2.3%
6612 1
2.3%
5533 1
2.3%
1240 1
2.3%
919 1
2.3%

과수원
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
41 
32252
 
1
2075
 
1
1579
 
1

Length

Max length5
Median length1
Mean length1.2272727
Min length1

Unique

Unique3 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 41
93.2%
32252 1
 
2.3%
2075 1
 
2.3%
1579 1
 
2.3%

Length

2023-12-12T19:17:43.244048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:43.380545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
93.2%
32252 1
 
2.3%
2075 1
 
2.3%
1579 1
 
2.3%

목장용지
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1410212.4
Minimum33363
Maximum6223489.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:43.528200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33363
5-th percentile90555.2
Q1265489.75
median1017470.9
Q31765404.3
95-th percentile4102665.1
Maximum6223489.2
Range6190126.2
Interquartile range (IQR)1499914.5

Descriptive statistics

Standard deviation1482831.2
Coefficient of variation (CV)1.0514949
Kurtosis2.4807986
Mean1410212.4
Median Absolute Deviation (MAD)749521.1
Skewness1.6146875
Sum62049348
Variance2.1987884 × 1012
MonotonicityNot monotonic
2023-12-12T19:17:43.680475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1482967.0 1
 
2.3%
1770167.6 1
 
2.3%
1016412.9 1
 
2.3%
156027.6 1
 
2.3%
217489.0 1
 
2.3%
550940.0 1
 
2.3%
89558.0 1
 
2.3%
120053.0 1
 
2.3%
89112.0 1
 
2.3%
798840.0 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
33363.0 1
2.3%
89112.0 1
2.3%
89558.0 1
2.3%
96206.0 1
2.3%
106504.0 1
2.3%
109224.9 1
2.3%
120053.0 1
2.3%
149740.0 1
2.3%
156027.6 1
2.3%
201899.0 1
2.3%
ValueCountFrequency (%)
6223489.2 1
2.3%
5662010.0 1
2.3%
4209326.1 1
2.3%
3498253.0 1
2.3%
3494315.0 1
2.3%
3323918.1 1
2.3%
3168372.6 1
2.3%
3091872.2 1
2.3%
2100729.6 1
2.3%
2075759.0 1
2.3%

임야
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
44 

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 44
100.0%

Length

2023-12-12T19:17:43.854392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:43.996606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
100.0%

광천
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
44 

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 44
100.0%

Length

2023-12-12T19:17:44.105205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:44.226555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
100.0%

염전
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean553062.02
Minimum483
Maximum1834973.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:44.365103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum483
5-th percentile49824.65
Q1161374.17
median384710.35
Q3897063.93
95-th percentile1550118.9
Maximum1834973.5
Range1834490.5
Interquartile range (IQR)735689.75

Descriptive statistics

Standard deviation472388.35
Coefficient of variation (CV)0.85413269
Kurtosis0.36351936
Mean553062.02
Median Absolute Deviation (MAD)289812.35
Skewness0.98880318
Sum24334729
Variance2.2315075 × 1011
MonotonicityNot monotonic
2023-12-12T19:17:44.560725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
635048.0 1
 
2.3%
372254.5 1
 
2.3%
397166.2 1
 
2.3%
319793.5 1
 
2.3%
888993.3 1
 
2.3%
1005283.9 1
 
2.3%
527152.7 1
 
2.3%
299769.6 1
 
2.3%
246712.9 1
 
2.3%
147273.2 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
483.0 1
2.3%
43352.1 1
2.3%
48302.0 1
2.3%
58453.0 1
2.3%
66128.0 1
2.3%
80074.0 1
2.3%
109722.0 1
2.3%
116204.2 1
2.3%
119126.9 1
2.3%
143620.0 1
2.3%
ValueCountFrequency (%)
1834973.5 1
2.3%
1659181.7 1
2.3%
1595766.1 1
2.3%
1291451.4 1
2.3%
1174721.9 1
2.3%
1005283.9 1
2.3%
996638.0 1
2.3%
984824.3 1
2.3%
938817.3 1
2.3%
926976.0 1
2.3%

대
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1249.6364
Minimum4
Maximum7957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:44.746947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile119.9
Q1241.75
median488
Q31029.25
95-th percentile5801.95
Maximum7957
Range7953
Interquartile range (IQR)787.5

Descriptive statistics

Standard deviation1832.9079
Coefficient of variation (CV)1.466753
Kurtosis4.8595609
Mean1249.6364
Median Absolute Deviation (MAD)323.5
Skewness2.3101226
Sum54984
Variance3359551.2
MonotonicityNot monotonic
2023-12-12T19:17:44.923208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
656 1
 
2.3%
139 1
 
2.3%
938 1
 
2.3%
2866 1
 
2.3%
6235 1
 
2.3%
7957 1
 
2.3%
4504 1
 
2.3%
756 1
 
2.3%
2114 1
 
2.3%
736 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
4 1
2.3%
39 1
2.3%
119 1
2.3%
125 1
2.3%
133 1
2.3%
139 1
2.3%
149 1
2.3%
180 1
2.3%
214 1
2.3%
229 1
2.3%
ValueCountFrequency (%)
7957 1
2.3%
6235 1
2.3%
6031 1
2.3%
4504 1
2.3%
4397 1
2.3%
2866 1
2.3%
2534 1
2.3%
2240 1
2.3%
2114 1
2.3%
1157 1
2.3%

공장용지
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25486.989
Minimum0
Maximum1035609.7
Zeros39
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:45.091981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28616.32
Maximum1035609.7
Range1035609.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation156014.98
Coefficient of variation (CV)6.121358
Kurtosis43.768364
Mean25486.989
Median Absolute Deviation (MAD)0
Skewness6.6081811
Sum1121427.5
Variance2.4340674 × 1010
MonotonicityNot monotonic
2023-12-12T19:17:45.252043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 39
88.6%
9373.0 1
 
2.3%
40155.0 1
 
2.3%
1035609.7 1
 
2.3%
4277.6 1
 
2.3%
32012.2 1
 
2.3%
ValueCountFrequency (%)
0.0 39
88.6%
4277.6 1
 
2.3%
9373.0 1
 
2.3%
32012.2 1
 
2.3%
40155.0 1
 
2.3%
1035609.7 1
 
2.3%
ValueCountFrequency (%)
1035609.7 1
 
2.3%
40155.0 1
 
2.3%
32012.2 1
 
2.3%
9373.0 1
 
2.3%
4277.6 1
 
2.3%
0.0 39
88.6%

학교용지
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63724.232
Minimum0
Maximum394953.1
Zeros13
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:45.411553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median47351.1
Q395675.45
95-th percentile186229.72
Maximum394953.1
Range394953.1
Interquartile range (IQR)95675.45

Descriptive statistics

Standard deviation75765.918
Coefficient of variation (CV)1.1889656
Kurtosis7.5373816
Mean63724.232
Median Absolute Deviation (MAD)47351.1
Skewness2.2540809
Sum2803866.2
Variance5.7404744 × 109
MonotonicityNot monotonic
2023-12-12T19:17:45.573660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 13
29.5%
49786.9 1
 
2.3%
102048.5 1
 
2.3%
28112.6 1
 
2.3%
53638.0 1
 
2.3%
17541.1 1
 
2.3%
43899.6 1
 
2.3%
87253.1 1
 
2.3%
84915.5 1
 
2.3%
65161.9 1
 
2.3%
Other values (22) 22
50.0%
ValueCountFrequency (%)
0.0 13
29.5%
9777.0 1
 
2.3%
11946.4 1
 
2.3%
17541.1 1
 
2.3%
25312.0 1
 
2.3%
28112.6 1
 
2.3%
29750.0 1
 
2.3%
43899.6 1
 
2.3%
44245.4 1
 
2.3%
44915.3 1
 
2.3%
ValueCountFrequency (%)
394953.1 1
2.3%
215289.9 1
2.3%
187880.2 1
2.3%
176877.0 1
2.3%
129023.2 1
2.3%
121083.8 1
2.3%
119433.3 1
2.3%
111978.9 1
2.3%
102923.6 1
2.3%
102048.5 1
2.3%

주차장
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11967.714
Minimum0
Maximum102021.3
Zeros7
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:45.767218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1793.75
median7313.25
Q314468.525
95-th percentile42061.815
Maximum102021.3
Range102021.3
Interquartile range (IQR)13674.775

Descriptive statistics

Standard deviation18724.622
Coefficient of variation (CV)1.5645948
Kurtosis13.385198
Mean11967.714
Median Absolute Deviation (MAD)6637.75
Skewness3.3822883
Sum526579.4
Variance3.5061148 × 108
MonotonicityNot monotonic
2023-12-12T19:17:45.923732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 7
 
15.9%
18391.4 1
 
2.3%
44400.3 1
 
2.3%
12628.7 1
 
2.3%
17645.6 1
 
2.3%
12715.2 1
 
2.3%
369.6 1
 
2.3%
6429.0 1
 
2.3%
8570.1 1
 
2.3%
12883.3 1
 
2.3%
Other values (28) 28
63.6%
ValueCountFrequency (%)
0.0 7
15.9%
125.0 1
 
2.3%
369.6 1
 
2.3%
600.0 1
 
2.3%
751.0 1
 
2.3%
808.0 1
 
2.3%
1858.0 1
 
2.3%
2350.0 1
 
2.3%
2552.0 1
 
2.3%
2774.0 1
 
2.3%
ValueCountFrequency (%)
102021.3 1
2.3%
66893.0 1
2.3%
44400.3 1
2.3%
28810.4 1
2.3%
20300.3 1
2.3%
18391.4 1
2.3%
18097.3 1
2.3%
17649.5 1
2.3%
17645.6 1
2.3%
17104.4 1
2.3%

주유소용지
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3124.4364
Minimum0
Maximum37433
Zeros11
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:46.054787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134.5
median1397.6
Q33848.225
95-th percentile7915.46
Maximum37433
Range37433
Interquartile range (IQR)3813.725

Descriptive statistics

Standard deviation5900.9293
Coefficient of variation (CV)1.888638
Kurtosis27.484254
Mean3124.4364
Median Absolute Deviation (MAD)1397.6
Skewness4.822344
Sum137475.2
Variance34820967
MonotonicityNot monotonic
2023-12-12T19:17:46.178977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 11
25.0%
1000.1 1
 
2.3%
326.6 1
 
2.3%
3473.4 1
 
2.3%
11103.2 1
 
2.3%
5122.6 1
 
2.3%
1120.9 1
 
2.3%
218.5 1
 
2.3%
3836.5 1
 
2.3%
533.6 1
 
2.3%
Other values (24) 24
54.5%
ValueCountFrequency (%)
0.0 11
25.0%
46.0 1
 
2.3%
218.5 1
 
2.3%
326.6 1
 
2.3%
533.6 1
 
2.3%
587.8 1
 
2.3%
829.9 1
 
2.3%
832.2 1
 
2.3%
961.0 1
 
2.3%
1000.1 1
 
2.3%
ValueCountFrequency (%)
37433.0 1
2.3%
11103.2 1
2.3%
7916.6 1
2.3%
7909.0 1
2.3%
6180.4 1
2.3%
6047.0 1
2.3%
5122.6 1
2.3%
4796.0 1
2.3%
4761.5 1
2.3%
4034.9 1
2.3%

창고용지
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431.88409
Minimum0
Maximum5063
Zeros33
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:46.319429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331.5
95-th percentile3427.7
Maximum5063
Range5063
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation1194.1621
Coefficient of variation (CV)2.7650059
Kurtosis8.9577227
Mean431.88409
Median Absolute Deviation (MAD)0
Skewness3.1254665
Sum19002.9
Variance1426023.1
MonotonicityNot monotonic
2023-12-12T19:17:46.482155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 33
75.0%
4738.0 1
 
2.3%
426.0 1
 
2.3%
275.0 1
 
2.3%
196.9 1
 
2.3%
525.0 1
 
2.3%
3560.0 1
 
2.3%
638.0 1
 
2.3%
777.0 1
 
2.3%
126.0 1
 
2.3%
Other values (2) 2
 
4.5%
ValueCountFrequency (%)
0.0 33
75.0%
126.0 1
 
2.3%
196.9 1
 
2.3%
275.0 1
 
2.3%
426.0 1
 
2.3%
525.0 1
 
2.3%
638.0 1
 
2.3%
777.0 1
 
2.3%
2678.0 1
 
2.3%
3560.0 1
 
2.3%
ValueCountFrequency (%)
5063.0 1
2.3%
4738.0 1
2.3%
3560.0 1
2.3%
2678.0 1
2.3%
777.0 1
2.3%
638.0 1
2.3%
525.0 1
2.3%
426.0 1
2.3%
275.0 1
2.3%
196.9 1
2.3%

도로
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374375.53
Minimum1848
Maximum1015708.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:46.632870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1848
5-th percentile53176.165
Q1144105.25
median365499.8
Q3510599.4
95-th percentile825795.54
Maximum1015708.4
Range1013860.4
Interquartile range (IQR)366494.15

Descriptive statistics

Standard deviation247711.68
Coefficient of variation (CV)0.66166632
Kurtosis-0.26095517
Mean374375.53
Median Absolute Deviation (MAD)194892.8
Skewness0.54566983
Sum16472524
Variance6.1361078 × 1010
MonotonicityNot monotonic
2023-12-12T19:17:46.796498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
328147.2 1
 
2.3%
412004.4 1
 
2.3%
543893.7 1
 
2.3%
147744.0 1
 
2.3%
351621.9 1
 
2.3%
479641.7 1
 
2.3%
337394.1 1
 
2.3%
132924.5 1
 
2.3%
95791.9 1
 
2.3%
120090.1 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1848.0 1
2.3%
46353.0 1
2.3%
52768.0 1
2.3%
55489.1 1
2.3%
83599.0 1
2.3%
86679.4 1
2.3%
95791.9 1
2.3%
105477.1 1
2.3%
120090.1 1
2.3%
132924.5 1
2.3%
ValueCountFrequency (%)
1015708.4 1
2.3%
837985.3 1
2.3%
834820.8 1
2.3%
774652.4 1
2.3%
723909.2 1
2.3%
672542.3 1
2.3%
654922.5 1
2.3%
613590.0 1
2.3%
584177.8 1
2.3%
574243.3 1
2.3%

철도용지
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3625.9091
Minimum0
Maximum133305
Zeros38
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:46.968511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5031.15
Maximum133305
Range133305
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20204.317
Coefficient of variation (CV)5.5722073
Kurtosis42.167043
Mean3625.9091
Median Absolute Deviation (MAD)0
Skewness6.4452215
Sum159540
Variance4.0821443 × 108
MonotonicityNot monotonic
2023-12-12T19:17:47.123944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 38
86.4%
1019.9 1
 
2.3%
133305.0 1
 
2.3%
70.6 1
 
2.3%
18063.5 1
 
2.3%
1411.0 1
 
2.3%
5670.0 1
 
2.3%
ValueCountFrequency (%)
0.0 38
86.4%
70.6 1
 
2.3%
1019.9 1
 
2.3%
1411.0 1
 
2.3%
5670.0 1
 
2.3%
18063.5 1
 
2.3%
133305.0 1
 
2.3%
ValueCountFrequency (%)
133305.0 1
 
2.3%
18063.5 1
 
2.3%
5670.0 1
 
2.3%
1411.0 1
 
2.3%
1019.9 1
 
2.3%
70.6 1
 
2.3%
0.0 38
86.4%

제방
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1684.2364
Minimum0
Maximum24138
Zeros35
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:47.272681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13816.75
Maximum24138
Range24138
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5042.09
Coefficient of variation (CV)2.993695
Kurtosis11.953107
Mean1684.2364
Median Absolute Deviation (MAD)0
Skewness3.4977784
Sum74106.4
Variance25422672
MonotonicityNot monotonic
2023-12-12T19:17:47.429513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 35
79.5%
4522.0 1
 
2.3%
18301.0 1
 
2.3%
1697.4 1
 
2.3%
24138.0 1
 
2.3%
3936.0 1
 
2.3%
1428.0 1
 
2.3%
4573.0 1
 
2.3%
15448.0 1
 
2.3%
63.0 1
 
2.3%
ValueCountFrequency (%)
0.0 35
79.5%
63.0 1
 
2.3%
1428.0 1
 
2.3%
1697.4 1
 
2.3%
3936.0 1
 
2.3%
4522.0 1
 
2.3%
4573.0 1
 
2.3%
15448.0 1
 
2.3%
18301.0 1
 
2.3%
24138.0 1
 
2.3%
ValueCountFrequency (%)
24138.0 1
 
2.3%
18301.0 1
 
2.3%
15448.0 1
 
2.3%
4573.0 1
 
2.3%
4522.0 1
 
2.3%
3936.0 1
 
2.3%
1697.4 1
 
2.3%
1428.0 1
 
2.3%
63.0 1
 
2.3%
0.0 35
79.5%

하천
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80115.307
Minimum0
Maximum318974.3
Zeros4
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:47.579580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111438
median53267.35
Q3107712.23
95-th percentile276904.94
Maximum318974.3
Range318974.3
Interquartile range (IQR)96274.225

Descriptive statistics

Standard deviation87138.297
Coefficient of variation (CV)1.087661
Kurtosis1.1196643
Mean80115.307
Median Absolute Deviation (MAD)48034.85
Skewness1.3793445
Sum3525073.5
Variance7.5930829 × 109
MonotonicityNot monotonic
2023-12-12T19:17:47.761383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 4
 
9.1%
14170.0 1
 
2.3%
36119.5 1
 
2.3%
56353.0 1
 
2.3%
40683.5 1
 
2.3%
398.4 1
 
2.3%
86876.0 1
 
2.3%
89120.0 1
 
2.3%
741.0 1
 
2.3%
159781.0 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
0.0 4
9.1%
185.0 1
 
2.3%
265.0 1
 
2.3%
398.4 1
 
2.3%
741.0 1
 
2.3%
3373.5 1
 
2.3%
4754.0 1
 
2.3%
5711.0 1
 
2.3%
13347.0 1
 
2.3%
14170.0 1
 
2.3%
ValueCountFrequency (%)
318974.3 1
2.3%
294135.2 1
2.3%
282251.9 1
2.3%
246605.5 1
2.3%
241791.7 1
2.3%
211768.0 1
2.3%
163539.4 1
2.3%
159781.0 1
2.3%
124073.8 1
2.3%
110921.2 1
2.3%

구거
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22341.568
Minimum0
Maximum79786.2
Zeros2
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:47.919675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile177.95
Q14639.7
median15987.35
Q332089.85
95-th percentile72694.285
Maximum79786.2
Range79786.2
Interquartile range (IQR)27450.15

Descriptive statistics

Standard deviation21851.455
Coefficient of variation (CV)0.9780627
Kurtosis0.90138949
Mean22341.568
Median Absolute Deviation (MAD)12427.15
Skewness1.2431142
Sum983029
Variance4.7748607 × 108
MonotonicityNot monotonic
2023-12-12T19:17:48.130405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 2
 
4.5%
5150.0 1
 
2.3%
10252.3 1
 
2.3%
3848.6 1
 
2.3%
38205.7 1
 
2.3%
33412.6 1
 
2.3%
10553.1 1
 
2.3%
4692.6 1
 
2.3%
2839.4 1
 
2.3%
4481.0 1
 
2.3%
Other values (33) 33
75.0%
ValueCountFrequency (%)
0.0 2
4.5%
74.0 1
2.3%
767.0 1
2.3%
1133.0 1
2.3%
2243.0 1
2.3%
2839.4 1
2.3%
2868.0 1
2.3%
3848.6 1
2.3%
4442.0 1
2.3%
4481.0 1
2.3%
ValueCountFrequency (%)
79786.2 1
2.3%
77555.6 1
2.3%
73827.1 1
2.3%
66275.0 1
2.3%
53911.2 1
2.3%
48859.6 1
2.3%
42711.0 1
2.3%
41021.0 1
2.3%
38205.7 1
2.3%
33412.6 1
2.3%

유지
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9281.075
Minimum0
Maximum149922
Zeros30
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:48.661489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33071.175
95-th percentile39542.22
Maximum149922
Range149922
Interquartile range (IQR)3071.175

Descriptive statistics

Standard deviation25595.044
Coefficient of variation (CV)2.7577672
Kurtosis21.906593
Mean9281.075
Median Absolute Deviation (MAD)0
Skewness4.3584762
Sum408367.3
Variance6.551063 × 108
MonotonicityNot monotonic
2023-12-12T19:17:48.817180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 30
68.2%
12665.0 1
 
2.3%
549.0 1
 
2.3%
17948.3 1
 
2.3%
39645.6 1
 
2.3%
65425.0 1
 
2.3%
38956.4 1
 
2.3%
16260.0 1
 
2.3%
2517.2 1
 
2.3%
3953.7 1
 
2.3%
Other values (5) 5
 
11.4%
ValueCountFrequency (%)
0.0 30
68.2%
549.0 1
 
2.3%
2517.2 1
 
2.3%
2777.0 1
 
2.3%
3953.7 1
 
2.3%
12244.8 1
 
2.3%
12665.0 1
 
2.3%
14059.0 1
 
2.3%
16260.0 1
 
2.3%
17948.3 1
 
2.3%
ValueCountFrequency (%)
149922.0 1
2.3%
65425.0 1
2.3%
39645.6 1
2.3%
38956.4 1
2.3%
31444.3 1
2.3%
17948.3 1
2.3%
16260.0 1
2.3%
14059.0 1
2.3%
12665.0 1
2.3%
12244.8 1
2.3%

양어장
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
42 
1320
 
1
1959
 
1

Length

Max length4
Median length1
Mean length1.1363636
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 42
95.5%
1320 1
 
2.3%
1959 1
 
2.3%

Length

2023-12-12T19:17:48.983770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:49.101848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
95.5%
1320 1
 
2.3%
1959 1
 
2.3%

수도용지
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19716.793
Minimum0
Maximum353180.4
Zeros27
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:49.204010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39476.45
95-th percentile98563.955
Maximum353180.4
Range353180.4
Interquartile range (IQR)9476.45

Descriptive statistics

Standard deviation57524.005
Coefficient of variation (CV)2.9175132
Kurtosis27.299407
Mean19716.793
Median Absolute Deviation (MAD)0
Skewness4.908085
Sum867538.9
Variance3.3090111 × 109
MonotonicityNot monotonic
2023-12-12T19:17:49.339302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 27
61.4%
18314.3 1
 
2.3%
46946.0 1
 
2.3%
353180.4 1
 
2.3%
3303.0 1
 
2.3%
5063.0 1
 
2.3%
47800.1 1
 
2.3%
110822.5 1
 
2.3%
111.7 1
 
2.3%
1126.0 1
 
2.3%
Other values (8) 8
 
18.2%
ValueCountFrequency (%)
0.0 27
61.4%
111.7 1
 
2.3%
1126.0 1
 
2.3%
3303.0 1
 
2.3%
5063.0 1
 
2.3%
6336.0 1
 
2.3%
8284.0 1
 
2.3%
13053.8 1
 
2.3%
18314.3 1
 
2.3%
22010.0 1
 
2.3%
ValueCountFrequency (%)
353180.4 1
2.3%
110822.5 1
2.3%
106424.6 1
2.3%
54020.3 1
2.3%
47800.1 1
2.3%
46946.0 1
2.3%
36427.2 1
2.3%
34316.0 1
2.3%
22010.0 1
2.3%
18314.3 1
2.3%

공원
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190877.41
Minimum0
Maximum1178676.6
Zeros12
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:49.501704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median54643.3
Q3240634.62
95-th percentile641297.19
Maximum1178676.6
Range1178676.6
Interquartile range (IQR)240634.62

Descriptive statistics

Standard deviation268409.12
Coefficient of variation (CV)1.4061859
Kurtosis3.1137781
Mean190877.41
Median Absolute Deviation (MAD)54643.3
Skewness1.7551858
Sum8398605.9
Variance7.2043454 × 1010
MonotonicityNot monotonic
2023-12-12T19:17:49.649084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 12
27.3%
374030.6 1
 
2.3%
141001.7 1
 
2.3%
55468.0 1
 
2.3%
3761.4 1
 
2.3%
179189.7 1
 
2.3%
49469.0 1
 
2.3%
4888.0 1
 
2.3%
69943.7 1
 
2.3%
151726.7 1
 
2.3%
Other values (23) 23
52.3%
ValueCountFrequency (%)
0.0 12
27.3%
1738.0 1
 
2.3%
3410.8 1
 
2.3%
3761.4 1
 
2.3%
4888.0 1
 
2.3%
9355.0 1
 
2.3%
10757.0 1
 
2.3%
44981.0 1
 
2.3%
45285.9 1
 
2.3%
49469.0 1
 
2.3%
ValueCountFrequency (%)
1178676.6 1
2.3%
758359.6 1
2.3%
644799.3 1
2.3%
621451.9 1
2.3%
548176.7 1
2.3%
543524.1 1
2.3%
537192.5 1
2.3%
526749.1 1
2.3%
519557.7 1
2.3%
374030.6 1
2.3%

체육용지
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21711.27
Minimum0
Maximum353115
Zeros36
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:49.776065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile113982
Maximum353115
Range353115
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73624.541
Coefficient of variation (CV)3.3910747
Kurtosis15.202963
Mean21711.27
Median Absolute Deviation (MAD)0
Skewness3.9259423
Sum955295.9
Variance5.420573 × 109
MonotonicityNot monotonic
2023-12-12T19:17:49.889798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 36
81.8%
106359.2 1
 
2.3%
25575.0 1
 
2.3%
321212.3 1
 
2.3%
353115.0 1
 
2.3%
115327.2 1
 
2.3%
8144.2 1
 
2.3%
24988.0 1
 
2.3%
575.0 1
 
2.3%
ValueCountFrequency (%)
0.0 36
81.8%
575.0 1
 
2.3%
8144.2 1
 
2.3%
24988.0 1
 
2.3%
25575.0 1
 
2.3%
106359.2 1
 
2.3%
115327.2 1
 
2.3%
321212.3 1
 
2.3%
353115.0 1
 
2.3%
ValueCountFrequency (%)
353115.0 1
 
2.3%
321212.3 1
 
2.3%
115327.2 1
 
2.3%
106359.2 1
 
2.3%
25575.0 1
 
2.3%
24988.0 1
 
2.3%
8144.2 1
 
2.3%
575.0 1
 
2.3%
0.0 36
81.8%

유원지
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
0.0
40 
332049.4
 
1
1384.0
 
1
9003.0
 
1
5067.0
 
1

Length

Max length8
Median length3
Mean length3.3181818
Min length3

Unique

Unique4 ?
Unique (%)9.1%

Sample

1st row0.0
2nd row0.0
3rd row332049.4
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 40
90.9%
332049.4 1
 
2.3%
1384.0 1
 
2.3%
9003.0 1
 
2.3%
5067.0 1
 
2.3%

Length

2023-12-12T19:17:50.042533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:50.156567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 40
90.9%
332049.4 1
 
2.3%
1384.0 1
 
2.3%
9003.0 1
 
2.3%
5067.0 1
 
2.3%

종교용지
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6184.2523
Minimum0
Maximum31655.5
Zeros9
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:50.312056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1973.975
median3766.55
Q37702.275
95-th percentile19528.93
Maximum31655.5
Range31655.5
Interquartile range (IQR)6728.3

Descriptive statistics

Standard deviation7489.5722
Coefficient of variation (CV)1.2110716
Kurtosis4.625435
Mean6184.2523
Median Absolute Deviation (MAD)3487.95
Skewness2.0653708
Sum272107.1
Variance56093692
MonotonicityNot monotonic
2023-12-12T19:17:50.489107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 9
 
20.5%
11935.1 1
 
2.3%
1970.3 1
 
2.3%
3904.1 1
 
2.3%
10632.5 1
 
2.3%
1750.6 1
 
2.3%
2995.1 1
 
2.3%
2409.3 1
 
2.3%
2983.4 1
 
2.3%
1130.3 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
0.0 9
20.5%
200.0 1
 
2.3%
505.0 1
 
2.3%
1130.3 1
 
2.3%
1750.6 1
 
2.3%
1970.3 1
 
2.3%
2409.3 1
 
2.3%
2702.3 1
 
2.3%
2983.4 1
 
2.3%
2995.1 1
 
2.3%
ValueCountFrequency (%)
31655.5 1
2.3%
31585.9 1
2.3%
19688.8 1
2.3%
18623.0 1
2.3%
15753.6 1
2.3%
11935.1 1
2.3%
11071.0 1
2.3%
10922.4 1
2.3%
10632.5 1
2.3%
9530.0 1
2.3%

사적지
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
40 
3129
 
1
7202
 
1
2556
 
1
6463
 
1

Length

Max length4
Median length1
Mean length1.2727273
Min length1

Unique

Unique4 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 40
90.9%
3129 1
 
2.3%
7202 1
 
2.3%
2556 1
 
2.3%
6463 1
 
2.3%

Length

2023-12-12T19:17:50.649132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:50.791713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 40
90.9%
3129 1
 
2.3%
7202 1
 
2.3%
2556 1
 
2.3%
6463 1
 
2.3%

묘지
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16996.545
Minimum0
Maximum558430
Zeros26
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:50.906362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32971.25
95-th percentile25667.2
Maximum558430
Range558430
Interquartile range (IQR)2971.25

Descriptive statistics

Standard deviation84280.742
Coefficient of variation (CV)4.9586984
Kurtosis42.326837
Mean16996.545
Median Absolute Deviation (MAD)0
Skewness6.4570761
Sum747848
Variance7.1032435 × 109
MonotonicityNot monotonic
2023-12-12T19:17:51.050883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 26
59.1%
4001 1
 
2.3%
19057 1
 
2.3%
22682 1
 
2.3%
1018 1
 
2.3%
3107 1
 
2.3%
314 1
 
2.3%
1094 1
 
2.3%
6793 1
 
2.3%
832 1
 
2.3%
Other values (9) 9
 
20.5%
ValueCountFrequency (%)
0 26
59.1%
218 1
 
2.3%
314 1
 
2.3%
832 1
 
2.3%
1018 1
 
2.3%
1094 1
 
2.3%
2313 1
 
2.3%
2926 1
 
2.3%
3107 1
 
2.3%
4001 1
 
2.3%
ValueCountFrequency (%)
558430 1
2.3%
64583 1
2.3%
26194 1
2.3%
22682 1
2.3%
19057 1
2.3%
18222 1
2.3%
11322 1
2.3%
6793 1
2.3%
4742 1
2.3%
4001 1
2.3%

잡종지
Real number (ℝ)

UNIQUE  ZEROS 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181650.22
Minimum0
Maximum1144327
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T19:17:51.276221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile518.625
Q114674.7
median65106.65
Q3276323.72
95-th percentile682283.11
Maximum1144327
Range1144327
Interquartile range (IQR)261649.02

Descriptive statistics

Standard deviation262207.94
Coefficient of variation (CV)1.4434771
Kurtosis5.5036887
Mean181650.22
Median Absolute Deviation (MAD)62996.55
Skewness2.2747246
Sum7992609.8
Variance6.8753004 × 1010
MonotonicityNot monotonic
2023-12-12T19:17:51.511270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
365929.7 1
 
2.3%
2528.8 1
 
2.3%
65396.8 1
 
2.3%
25746.4 1
 
2.3%
0.0 1
 
2.3%
64816.5 1
 
2.3%
5099.5 1
 
2.3%
62.5 1
 
2.3%
2106.7 1
 
2.3%
433.8 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
0.0 1
2.3%
62.5 1
2.3%
433.8 1
2.3%
999.3 1
2.3%
2106.7 1
2.3%
2528.8 1
2.3%
5099.5 1
2.3%
6183.9 1
2.3%
7323.9 1
2.3%
9500.4 1
2.3%
ValueCountFrequency (%)
1144327.0 1
2.3%
1044756.4 1
2.3%
695029.0 1
2.3%
610056.4 1
2.3%
459898.0 1
2.3%
365929.7 1
2.3%
323037.9 1
2.3%
309207.0 1
2.3%
285575.9 1
2.3%
281144.5 1
2.3%

Sample

토지소재지(구)토지소재지(동)총계전답과수원목장용지임야광천염전대공장용지학교용지주차장주유소용지창고용지도로철도용지제방하천구거유지양어장수도용지공원체육용지유원지종교용지사적지묘지잡종지
0분당구10100-분당동42978.047959.0001482967.000635048.06560.049786.918391.41000.10.0328147.20.00.014170.05150.00.0018314.3374030.60.00.011935.104001365929.7
1분당구10200-수내동14629.06406.000462631.000921275.85020.0100714.115032.63180.60.0446115.50.00.0241791.7767.00.000.0548176.70.00.03128.600128099.8
2분당구10300-정자동0.03547.000763830.0001659181.711570.0187880.27040.73560.90.0834820.80.00.0318974.374.00.000.0543524.10.0332049.47175.900249984.5
3분당구10400-율동187920.6152893.7003498253.000223359.61330.00.00.00.00.055489.10.00.03373.532848.70.000.0285765.50.00.00.000227050.0
4분당구10500-서현동134203.088573.09190708121.0001291451.46480.0111978.914280.54034.90.0613590.00.00.0110921.228572.012665.000.0149490.60.00.05656.500323037.9
5분당구10600-이매동68784.028671.0516322521278147.000938817.34740.0129023.2125.01558.00.0424921.50.00.0246605.523812.0549.000.044981.00.00.018623.0018222263188.4
6분당구10700-야탑동92698.099754.0002075759.0001834973.59850.0176877.017649.54761.50.0723909.20.00.0294135.216356.60.008284.0526749.1106359.20.031585.90558430285575.9
7분당구10800-판교동0.00.000149740.000774999.510270.072841.910335.5829.90.0431671.00.00.071784.80.017948.30106424.61178676.625575.00.019688.8006183.9
8분당구10900-삼평동256.01507.00033363.000996638.01250.051745.128810.42492.90.0837985.31019.90.0163539.40.039645.6054020.3519557.70.00.09530.00057936.7
9분당구11000-백현동30727.055542.000892038.000815246.34289373.0121083.89168.12769.60.0584177.80.00.060167.42868.00.0036427.2621451.9321212.30.07862.10069101.3
토지소재지(구)토지소재지(동)총계전답과수원목장용지임야광천염전대공장용지학교용지주차장주유소용지창고용지도로철도용지제방하천구거유지양어장수도용지공원체육용지유원지종교용지사적지묘지잡종지
34수정구10800-창곡동90725.054754.000357687.0001174721.94730.093995.944400.34796.00.0464198.60.00.036119.510252.331444.3047800.1758359.68144.20.06228.1007323.9
35수정구10900-신촌동16569.056320.000106504.00066128.02290.00.0808.046.00.052768.00.00.037873.04442.00.000.00.00.00.00.000459898.0
36수정구11000-오야동56713.010146.000281490.00058453.02140.00.0600.00.00.046353.00.00.039964.05414.00.000.00.00.00.0200.001094695029.0
37수정구11100-심곡동180026.896740.2901801305929.000119126.92890.09777.02350.00.00.0105477.10.03936.0110307.914574.914059.019590.00.00.00.00.003141044756.4
38수정구11200-고등동183295.1222701.95343202100729.600328943.34170.025312.05152.02216.4126.0379377.70.00.062874.248859.62777.000.0115376.30.00.02702.303107610056.4
39수정구11300-상적동367121.0240829.0124005662010.000109722.03820.00.03961.01498.00.0133189.01411.00.065202.041021.0149922.000.01738.00.00.06304.02556101822442.0
40수정구11400-둔전동5926.0562.00096206.000483.040.00.00.00.00.01848.00.01428.0211768.016423.00.005063.00.00.00.00.0001144327.0
41수정구11500-시흥동445837.0168004.0677901018529.000578485.15290.00.02774.06047.05063.0241090.00.04573.048374.042711.00.003303.09355.024988.00.07649.002268282858.0
42수정구11600-금토동669231.8505166.2876806223489.200183704.64660.00.01858.00.00.0774652.40.015448.0124073.879786.20.000.00.00.05067.00.064631905724889.5
43수정구11700-사송동99555.1142793.366120489162.000116204.22350.00.066893.00.02678.0184457.75670.063.092434.023716.90.00353180.40.0575.00.04501.0009729.8