Overview

Dataset statistics

Number of variables30
Number of observations117
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.8 KiB
Average record size in memory269.1 B

Variable types

Categorical9
Numeric21

Dataset

Description2014년 9월 기준 건축허가 통계 자료입니다. 건축물의 세부 용도(주택, 다세대, 편의시설)별로 정리되어 있습니다.
Author경상남도
URLhttps://www.data.go.kr/data/15071393/fileData.do

Alerts

철골철근 증축_개축_이전_대수선 has constant value ""Constant
기타 증축_개축_이전_대수선 has constant value ""Constant
기타 용도변경 has constant value ""Constant
기타 합계 is highly imbalanced (91.0%)Imbalance
기타 신축 is highly imbalanced (91.0%)Imbalance
철골철근 용도변경 is highly imbalanced (83.5%)Imbalance
나무 용도변경 is highly imbalanced (91.0%)Imbalance
합계 계 has 55 (47.0%) zerosZeros
콘크리트 합계 has 61 (52.1%) zerosZeros
철골 합계 has 74 (63.2%) zerosZeros
조적 합계 has 98 (83.8%) zerosZeros
철골철근 합계 has 108 (92.3%) zerosZeros
나무 합계 has 100 (85.5%) zerosZeros
신축 계 has 69 (59.0%) zerosZeros
콘크리트 신축 has 75 (64.1%) zerosZeros
철골 신축 has 95 (81.2%) zerosZeros
조적 신축 has 105 (89.7%) zerosZeros
철골철근 신축 has 110 (94.0%) zerosZeros
나무 신축 has 105 (89.7%) zerosZeros
증축_개축_이전_대수선 계 has 68 (58.1%) zerosZeros
콘크리트 증축_개축_이전_대수선 has 82 (70.1%) zerosZeros
철골 증축_개축_이전_대수선 has 77 (65.8%) zerosZeros
조적 증축_개축_이전_대수선 has 104 (88.9%) zerosZeros
나무 증축_개축_이전_대수선 has 104 (88.9%) zerosZeros
용도변경 계 has 89 (76.1%) zerosZeros
콘크리트 용도변경 has 93 (79.5%) zerosZeros
철골 용도변경 has 109 (93.2%) zerosZeros
조적 용도변경 has 104 (88.9%) zerosZeros

Reproduction

Analysis started2024-04-17 11:12:00.899791
Analysis finished2024-04-17 11:12:01.108780
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분1
Categorical

Distinct39
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
단독주택
 
3
공동주택 기숙사
 
3
단독주택 다가구주택
 
3
단독주택 공관
 
3
공동주택 아파트
 
3
Other values (34)
102 

Length

Max length11
Median length10
Mean length6.3589744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단독주택
2nd row단독주택
3rd row단독주택
4th row단독주택 다중주택
5th row단독주택 다중주택

Common Values

ValueCountFrequency (%)
단독주택 3
 
2.6%
공동주택 기숙사 3
 
2.6%
단독주택 다가구주택 3
 
2.6%
단독주택 공관 3
 
2.6%
공동주택 아파트 3
 
2.6%
공동주택 연립주택 3
 
2.6%
공동주택 다세대주택 3
 
2.6%
공동주택 생활편익시설 3
 
2.6%
공동주택 부대시설 3
 
2.6%
교육연구시설 3
 
2.6%
Other values (29) 87
74.4%

Length

2024-04-17T20:12:01.159127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 21
 
14.0%
단독주택 12
 
8.0%
장례식장 3
 
2.0%
위험물저장및처리시설 3
 
2.0%
관련시설 3
 
2.0%
분뇨.쓰레기처리시설 3
 
2.0%
업무시설 3
 
2.0%
숙박시설 3
 
2.0%
위락시설 3
 
2.0%
공장 3
 
2.0%
Other values (31) 93
62.0%

구분2
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
건 수
39 
동 수
39 
연면적
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건 수
2nd row동 수
3rd row연면적
4th row건 수
5th row동 수

Common Values

ValueCountFrequency (%)
건 수 39
33.3%
동 수 39
33.3%
연면적 39
33.3%

Length

2024-04-17T20:12:01.251216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:01.332530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수 78
40.0%
건 39
20.0%
동 39
20.0%
연면적 39
20.0%

합계 계
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6567.6154
Minimum0
Maximum283242
Zeros55
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:01.447126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3213
95-th percentile43744.2
Maximum283242
Range283242
Interquartile range (IQR)213

Descriptive statistics

Standard deviation30196.004
Coefficient of variation (CV)4.597712
Kurtosis63.361673
Mean6567.6154
Median Absolute Deviation (MAD)2
Skewness7.4312753
Sum768411
Variance9.1179867 × 108
MonotonicityNot monotonic
2024-04-17T20:12:01.565594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
47.0%
2 4
 
3.4%
3 4
 
3.4%
8 2
 
1.7%
1 2
 
1.7%
7 2
 
1.7%
323 1
 
0.9%
47575 1
 
0.9%
10 1
 
0.9%
3083 1
 
0.9%
Other values (44) 44
37.6%
ValueCountFrequency (%)
0 55
47.0%
1 2
 
1.7%
2 4
 
3.4%
3 4
 
3.4%
4 1
 
0.9%
5 1
 
0.9%
6 1
 
0.9%
7 2
 
1.7%
8 2
 
1.7%
9 1
 
0.9%
ValueCountFrequency (%)
283242 1
0.9%
125905 1
0.9%
58937 1
0.9%
56920 1
0.9%
47575 1
0.9%
47225 1
0.9%
42874 1
0.9%
33957 1
0.9%
14237 1
0.9%
13325 1
0.9%

콘크리트 합계
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4315.6667
Minimum0
Maximum283242
Zeros61
Zeros (%)52.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:01.675184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336
95-th percentile8784.4
Maximum283242
Range283242
Interquartile range (IQR)36

Descriptive statistics

Standard deviation27150.231
Coefficient of variation (CV)6.2910862
Kurtosis98.219193
Mean4315.6667
Median Absolute Deviation (MAD)0
Skewness9.6099357
Sum504933
Variance7.3713503 × 108
MonotonicityNot monotonic
2024-04-17T20:12:01.784370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 61
52.1%
1 6
 
5.1%
3 4
 
3.4%
2 3
 
2.6%
12 2
 
1.7%
4 2
 
1.7%
7 2
 
1.7%
5 2
 
1.7%
923 1
 
0.9%
20 1
 
0.9%
Other values (33) 33
28.2%
ValueCountFrequency (%)
0 61
52.1%
1 6
 
5.1%
2 3
 
2.6%
3 4
 
3.4%
4 2
 
1.7%
5 2
 
1.7%
6 1
 
0.9%
7 2
 
1.7%
9 1
 
0.9%
12 2
 
1.7%
ValueCountFrequency (%)
283242 1
0.9%
53240 1
0.9%
47510 1
0.9%
30245 1
0.9%
30211 1
0.9%
19626 1
0.9%
6074 1
0.9%
6049 1
0.9%
4865 1
0.9%
4419 1
0.9%

철골 합계
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1962.8462
Minimum0
Maximum119696
Zeros74
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:01.892720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile4403.8
Maximum119696
Range119696
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11775.198
Coefficient of variation (CV)5.9990426
Kurtosis88.198194
Mean1962.8462
Median Absolute Deviation (MAD)0
Skewness8.9994563
Sum229653
Variance1.3865528 × 108
MonotonicityNot monotonic
2024-04-17T20:12:02.003568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 74
63.2%
1 6
 
5.1%
5 3
 
2.6%
2 2
 
1.7%
12 2
 
1.7%
2535 1
 
0.9%
32571 1
 
0.9%
92 1
 
0.9%
2648 1
 
0.9%
47 1
 
0.9%
Other values (25) 25
 
21.4%
ValueCountFrequency (%)
0 74
63.2%
1 6
 
5.1%
2 2
 
1.7%
4 1
 
0.9%
5 3
 
2.6%
6 1
 
0.9%
11 1
 
0.9%
12 2
 
1.7%
15 1
 
0.9%
45 1
 
0.9%
ValueCountFrequency (%)
119696 1
0.9%
32571 1
0.9%
23388 1
0.9%
17761 1
0.9%
12323 1
0.9%
10339 1
0.9%
2920 1
0.9%
2648 1
0.9%
2535 1
0.9%
1219 1
0.9%

조적 합계
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.350427
Minimum0
Maximum4338
Zeros98
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:02.101707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile160.4
Maximum4338
Range4338
Interquartile range (IQR)0

Descriptive statistics

Standard deviation558.5273
Coefficient of variation (CV)5.8576277
Kurtosis50.89137
Mean95.350427
Median Absolute Deviation (MAD)0
Skewness7.0965065
Sum11156
Variance311952.75
MonotonicityNot monotonic
2024-04-17T20:12:02.193474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 98
83.8%
1 2
 
1.7%
2 2
 
1.7%
196 1
 
0.9%
149 1
 
0.9%
160 1
 
0.9%
585 1
 
0.9%
4 1
 
0.9%
100 1
 
0.9%
162 1
 
0.9%
Other values (8) 8
 
6.8%
ValueCountFrequency (%)
0 98
83.8%
1 2
 
1.7%
2 2
 
1.7%
4 1
 
0.9%
5 1
 
0.9%
17 1
 
0.9%
22 1
 
0.9%
62 1
 
0.9%
100 1
 
0.9%
145 1
 
0.9%
ValueCountFrequency (%)
4338 1
0.9%
4085 1
0.9%
1120 1
0.9%
585 1
0.9%
196 1
0.9%
162 1
0.9%
160 1
0.9%
149 1
0.9%
145 1
0.9%
100 1
0.9%

철골철근 합계
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.32479
Minimum0
Maximum11349
Zeros108
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:02.280608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.2
Maximum11349
Range11349
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1069.7454
Coefficient of variation (CV)8.3362338
Kurtosis106.92193
Mean128.32479
Median Absolute Deviation (MAD)0
Skewness10.182172
Sum15014
Variance1144355.3
MonotonicityNot monotonic
2024-04-17T20:12:02.372795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 108
92.3%
1 3
 
2.6%
104 1
 
0.9%
2080 1
 
0.9%
1210 1
 
0.9%
266 1
 
0.9%
2 1
 
0.9%
11349 1
 
0.9%
ValueCountFrequency (%)
0 108
92.3%
1 3
 
2.6%
2 1
 
0.9%
104 1
 
0.9%
266 1
 
0.9%
1210 1
 
0.9%
2080 1
 
0.9%
11349 1
 
0.9%
ValueCountFrequency (%)
11349 1
 
0.9%
2080 1
 
0.9%
1210 1
 
0.9%
266 1
 
0.9%
104 1
 
0.9%
2 1
 
0.9%
1 3
 
2.6%
0 108
92.3%

나무 합계
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.410256
Minimum0
Maximum5267
Zeros100
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:02.460654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile68.4
Maximum5267
Range5267
Interquartile range (IQR)0

Descriptive statistics

Standard deviation496.18338
Coefficient of variation (CV)7.8249705
Kurtosis106.84708
Mean63.410256
Median Absolute Deviation (MAD)0
Skewness10.175679
Sum7419
Variance246197.95
MonotonicityNot monotonic
2024-04-17T20:12:02.572331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 100
85.5%
2 3
 
2.6%
3 2
 
1.7%
65 2
 
1.7%
1 2
 
1.7%
68 1
 
0.9%
5267 1
 
0.9%
289 1
 
0.9%
9 1
 
0.9%
991 1
 
0.9%
Other values (3) 3
 
2.6%
ValueCountFrequency (%)
0 100
85.5%
1 2
 
1.7%
2 3
 
2.6%
3 2
 
1.7%
9 1
 
0.9%
65 2
 
1.7%
68 1
 
0.9%
70 1
 
0.9%
157 1
 
0.9%
289 1
 
0.9%
ValueCountFrequency (%)
5267 1
0.9%
991 1
0.9%
424 1
0.9%
289 1
0.9%
157 1
0.9%
70 1
0.9%
68 1
0.9%
65 2
1.7%
9 1
0.9%
3 2
1.7%

기타 합계
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
115 
3
 
1
233
 
1

Length

Max length3
Median length1
Mean length1.017094
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row0
2nd row3
3rd row233
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 115
98.3%
3 1
 
0.9%
233 1
 
0.9%

Length

2024-04-17T20:12:02.689168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:02.776721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 115
98.3%
3 1
 
0.9%
233 1
 
0.9%

신축 계
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5789.7521
Minimum0
Maximum283242
Zeros69
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:02.866571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370
95-th percentile37456.6
Maximum283242
Range283242
Interquartile range (IQR)70

Descriptive statistics

Standard deviation28742.085
Coefficient of variation (CV)4.9643032
Kurtosis76.563942
Mean5789.7521
Median Absolute Deviation (MAD)0
Skewness8.2196575
Sum677401
Variance8.2610747 × 108
MonotonicityNot monotonic
2024-04-17T20:12:02.982944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 69
59.0%
2 5
 
4.3%
1 3
 
2.6%
70 2
 
1.7%
1195 1
 
0.9%
8 1
 
0.9%
809 1
 
0.9%
261 1
 
0.9%
5 1
 
0.9%
46819 1
 
0.9%
Other values (32) 32
27.4%
ValueCountFrequency (%)
0 69
59.0%
1 3
 
2.6%
2 5
 
4.3%
4 1
 
0.9%
5 1
 
0.9%
6 1
 
0.9%
7 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
ValueCountFrequency (%)
283242 1
0.9%
88127 1
0.9%
56738 1
0.9%
46819 1
0.9%
45768 1
0.9%
43071 1
0.9%
36053 1
0.9%
27324 1
0.9%
13645 1
0.9%
8167 1
0.9%

콘크리트 신축
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4099.453
Minimum0
Maximum283242
Zeros75
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:03.092639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile8501.2
Maximum283242
Range283242
Interquartile range (IQR)6

Descriptive statistics

Standard deviation27041.369
Coefficient of variation (CV)6.5963358
Kurtosis100.15722
Mean4099.453
Median Absolute Deviation (MAD)0
Skewness9.7363397
Sum479636
Variance7.3123561 × 108
MonotonicityNot monotonic
2024-04-17T20:12:03.196286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 75
64.1%
2 5
 
4.3%
1 4
 
3.4%
148 2
 
1.7%
114 1
 
0.9%
527 1
 
0.9%
4 1
 
0.9%
4772 1
 
0.9%
2998 1
 
0.9%
466 1
 
0.9%
Other values (25) 25
 
21.4%
ValueCountFrequency (%)
0 75
64.1%
1 4
 
3.4%
2 5
 
4.3%
3 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
6 1
 
0.9%
7 1
 
0.9%
9 1
 
0.9%
12 1
 
0.9%
ValueCountFrequency (%)
283242 1
0.9%
51634 1
0.9%
46819 1
0.9%
26021 1
0.9%
24270 1
0.9%
18210 1
0.9%
6074 1
0.9%
4772 1
0.9%
4419 1
0.9%
3266 1
0.9%

철골 신축
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1438.5641
Minimum0
Maximum83355
Zeros95
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:03.297717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3404.6
Maximum83355
Range83355
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8421.171
Coefficient of variation (CV)5.8538726
Kurtosis79.293121
Mean1438.5641
Median Absolute Deviation (MAD)0
Skewness8.4636778
Sum168312
Variance70916122
MonotonicityNot monotonic
2024-04-17T20:12:03.392965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 95
81.2%
216 1
 
0.9%
1130 1
 
0.9%
7 1
 
0.9%
27210 1
 
0.9%
68 1
 
0.9%
2358 1
 
0.9%
9 1
 
0.9%
7591 1
 
0.9%
65 1
 
0.9%
Other values (13) 13
 
11.1%
ValueCountFrequency (%)
0 95
81.2%
1 1
 
0.9%
2 1
 
0.9%
6 1
 
0.9%
7 1
 
0.9%
9 1
 
0.9%
42 1
 
0.9%
65 1
 
0.9%
68 1
 
0.9%
84 1
 
0.9%
ValueCountFrequency (%)
83355 1
0.9%
27210 1
0.9%
19678 1
0.9%
16223 1
0.9%
7957 1
0.9%
7591 1
0.9%
2358 1
0.9%
1130 1
0.9%
870 1
0.9%
809 1
0.9%

조적 신축
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.333333
Minimum0
Maximum3853
Zeros105
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:03.495659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile41.6
Maximum3853
Range3853
Interquartile range (IQR)0

Descriptive statistics

Standard deviation472.69515
Coefficient of variation (CV)6.8177185
Kurtosis55.420015
Mean69.333333
Median Absolute Deviation (MAD)0
Skewness7.4546537
Sum8112
Variance223440.71
MonotonicityNot monotonic
2024-04-17T20:12:03.592213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 105
89.7%
1 3
 
2.6%
40 1
 
0.9%
3356 1
 
0.9%
18 1
 
0.9%
3853 1
 
0.9%
48 1
 
0.9%
156 1
 
0.9%
4 1
 
0.9%
585 1
 
0.9%
ValueCountFrequency (%)
0 105
89.7%
1 3
 
2.6%
4 1
 
0.9%
18 1
 
0.9%
40 1
 
0.9%
48 1
 
0.9%
49 1
 
0.9%
156 1
 
0.9%
585 1
 
0.9%
3356 1
 
0.9%
ValueCountFrequency (%)
3853 1
 
0.9%
3356 1
 
0.9%
585 1
 
0.9%
156 1
 
0.9%
49 1
 
0.9%
48 1
 
0.9%
40 1
 
0.9%
18 1
 
0.9%
4 1
 
0.9%
1 3
2.6%

철골철근 신축
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.24786
Minimum0
Maximum11287
Zeros110
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:03.693629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11287
Range11287
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1059.3938
Coefficient of variation (CV)8.5956358
Kurtosis108.95341
Mean123.24786
Median Absolute Deviation (MAD)0
Skewness10.309943
Sum14420
Variance1122315.1
MonotonicityNot monotonic
2024-04-17T20:12:03.786986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 110
94.0%
1 2
 
1.7%
104 1
 
0.9%
1962 1
 
0.9%
799 1
 
0.9%
266 1
 
0.9%
11287 1
 
0.9%
ValueCountFrequency (%)
0 110
94.0%
1 2
 
1.7%
104 1
 
0.9%
266 1
 
0.9%
799 1
 
0.9%
1962 1
 
0.9%
11287 1
 
0.9%
ValueCountFrequency (%)
11287 1
 
0.9%
1962 1
 
0.9%
799 1
 
0.9%
266 1
 
0.9%
104 1
 
0.9%
1 2
 
1.7%
0 110
94.0%

나무 신축
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.136752
Minimum0
Maximum5049
Zeros105
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:03.878862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile59.4
Maximum5049
Range5049
Interquartile range (IQR)0

Descriptive statistics

Standard deviation473.72822
Coefficient of variation (CV)8.2911297
Kurtosis108.92733
Mean57.136752
Median Absolute Deviation (MAD)0
Skewness10.305719
Sum6685
Variance224418.43
MonotonicityNot monotonic
2024-04-17T20:12:03.970865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 105
89.7%
65 2
 
1.7%
1 2
 
1.7%
58 1
 
0.9%
5049 1
 
0.9%
2 1
 
0.9%
277 1
 
0.9%
3 1
 
0.9%
7 1
 
0.9%
865 1
 
0.9%
ValueCountFrequency (%)
0 105
89.7%
1 2
 
1.7%
2 1
 
0.9%
3 1
 
0.9%
7 1
 
0.9%
58 1
 
0.9%
65 2
 
1.7%
277 1
 
0.9%
292 1
 
0.9%
865 1
 
0.9%
ValueCountFrequency (%)
5049 1
0.9%
865 1
0.9%
292 1
0.9%
277 1
0.9%
65 2
1.7%
58 1
0.9%
7 1
0.9%
3 1
0.9%
2 1
0.9%
1 2
1.7%

기타 신축
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
115 
3
 
1
233
 
1

Length

Max length3
Median length1
Mean length1.017094
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row0
2nd row3
3rd row233
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 115
98.3%
3 1
 
0.9%
233 1
 
0.9%

Length

2024-04-17T20:12:04.080009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:04.169726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 115
98.3%
3 1
 
0.9%
233 1
 
0.9%

증축_개축_이전_대수선 계
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean619.06838
Minimum0
Maximum37778
Zeros68
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:04.266462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322
95-th percentile3040.4
Maximum37778
Range37778
Interquartile range (IQR)22

Descriptive statistics

Standard deviation3624.9059
Coefficient of variation (CV)5.8554208
Kurtosis97.296166
Mean619.06838
Median Absolute Deviation (MAD)0
Skewness9.5331657
Sum72431
Variance13139943
MonotonicityNot monotonic
2024-04-17T20:12:04.377691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 68
58.1%
2 6
 
5.1%
1 5
 
4.3%
45 2
 
1.7%
6 2
 
1.7%
4983 1
 
0.9%
459 1
 
0.9%
10 1
 
0.9%
115 1
 
0.9%
89 1
 
0.9%
Other values (29) 29
24.8%
ValueCountFrequency (%)
0 68
58.1%
1 5
 
4.3%
2 6
 
5.1%
3 1
 
0.9%
5 1
 
0.9%
6 2
 
1.7%
8 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
12 1
 
0.9%
ValueCountFrequency (%)
37778 1
0.9%
6633 1
0.9%
5272 1
0.9%
4983 1
0.9%
4385 1
0.9%
3214 1
0.9%
2997 1
0.9%
1496 1
0.9%
1405 1
0.9%
1208 1
0.9%

콘크리트 증축_개축_이전_대수선
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.358974
Minimum0
Maximum2611
Zeros82
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:04.743256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile921.4
Maximum2611
Range2611
Interquartile range (IQR)1

Descriptive statistics

Standard deviation371.58747
Coefficient of variation (CV)3.8967226
Kurtosis25.144366
Mean95.358974
Median Absolute Deviation (MAD)0
Skewness4.8106516
Sum11157
Variance138077.25
MonotonicityNot monotonic
2024-04-17T20:12:04.851948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 82
70.1%
1 6
 
5.1%
2 3
 
2.6%
3 2
 
1.7%
7 2
 
1.7%
918 1
 
0.9%
1272 1
 
0.9%
44 1
 
0.9%
224 1
 
0.9%
52 1
 
0.9%
Other values (17) 17
 
14.5%
ValueCountFrequency (%)
0 82
70.1%
1 6
 
5.1%
2 3
 
2.6%
3 2
 
1.7%
4 1
 
0.9%
5 1
 
0.9%
7 2
 
1.7%
9 1
 
0.9%
12 1
 
0.9%
13 1
 
0.9%
ValueCountFrequency (%)
2611 1
0.9%
2021 1
0.9%
1277 1
0.9%
1272 1
0.9%
988 1
0.9%
935 1
0.9%
918 1
0.9%
394 1
0.9%
224 1
0.9%
115 1
0.9%

철골 증축_개축_이전_대수선
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.13675
Minimum0
Maximum36341
Zeros77
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:04.948758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile1570
Maximum36341
Range36341
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3430.8912
Coefficient of variation (CV)6.8054772
Kurtosis105.05094
Mean504.13675
Median Absolute Deviation (MAD)0
Skewness10.039656
Sum58984
Variance11771014
MonotonicityNot monotonic
2024-04-17T20:12:05.052891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 77
65.8%
1 6
 
5.1%
5 3
 
2.6%
2 3
 
2.6%
80 1
 
0.9%
36341 1
 
0.9%
42 1
 
0.9%
4732 1
 
0.9%
99 1
 
0.9%
45 1
 
0.9%
Other values (22) 22
 
18.8%
ValueCountFrequency (%)
0 77
65.8%
1 6
 
5.1%
2 3
 
2.6%
4 1
 
0.9%
5 3
 
2.6%
6 1
 
0.9%
9 1
 
0.9%
12 1
 
0.9%
14 1
 
0.9%
24 1
 
0.9%
ValueCountFrequency (%)
36341 1
0.9%
5361 1
0.9%
4732 1
0.9%
2920 1
0.9%
2594 1
0.9%
1698 1
0.9%
1538 1
0.9%
1405 1
0.9%
689 1
0.9%
424 1
0.9%

조적 증축_개축_이전_대수선
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.803419
Minimum0
Maximum531
Zeros104
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:05.148566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile52
Maximum531
Range531
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.837729
Coefficient of variation (CV)5.2043432
Kurtosis44.515858
Mean13.803419
Median Absolute Deviation (MAD)0
Skewness6.5411854
Sum1615
Variance5160.6593
MonotonicityNot monotonic
2024-04-17T20:12:05.242411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 104
88.9%
2 2
 
1.7%
16 1
 
0.9%
523 1
 
0.9%
3 1
 
0.9%
147 1
 
0.9%
76 1
 
0.9%
8 1
 
0.9%
531 1
 
0.9%
160 1
 
0.9%
Other values (3) 3
 
2.6%
ValueCountFrequency (%)
0 104
88.9%
1 1
 
0.9%
2 2
 
1.7%
3 1
 
0.9%
8 1
 
0.9%
16 1
 
0.9%
46 1
 
0.9%
76 1
 
0.9%
100 1
 
0.9%
147 1
 
0.9%
ValueCountFrequency (%)
531 1
0.9%
523 1
0.9%
160 1
0.9%
147 1
0.9%
100 1
0.9%
76 1
0.9%
46 1
0.9%
16 1
0.9%
8 1
0.9%
3 1
0.9%

철골철근 증축_개축_이전_대수선
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
117 

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 (%)
0 117
100.0%

Length

2024-04-17T20:12:05.341400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:05.419957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
100.0%

나무 증축_개축_이전_대수선
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7692308
Minimum0
Maximum218
Zeros104
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:05.490240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.4
Maximum218
Range218
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.144757
Coefficient of variation (CV)4.8784245
Kurtosis34.311541
Mean5.7692308
Median Absolute Deviation (MAD)0
Skewness5.6507637
Sum675
Variance792.12732
MonotonicityNot monotonic
2024-04-17T20:12:05.582371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 104
88.9%
1 4
 
3.4%
2 2
 
1.7%
10 1
 
0.9%
218 1
 
0.9%
12 1
 
0.9%
126 1
 
0.9%
132 1
 
0.9%
70 1
 
0.9%
99 1
 
0.9%
ValueCountFrequency (%)
0 104
88.9%
1 4
 
3.4%
2 2
 
1.7%
10 1
 
0.9%
12 1
 
0.9%
70 1
 
0.9%
99 1
 
0.9%
126 1
 
0.9%
132 1
 
0.9%
218 1
 
0.9%
ValueCountFrequency (%)
218 1
 
0.9%
132 1
 
0.9%
126 1
 
0.9%
99 1
 
0.9%
70 1
 
0.9%
12 1
 
0.9%
10 1
 
0.9%
2 2
 
1.7%
1 4
 
3.4%
0 104
88.9%

기타 증축_개축_이전_대수선
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
117 

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 (%)
0 117
100.0%

Length

2024-04-17T20:12:05.676660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:05.751817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
100.0%

용도변경 계
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.79487
Minimum0
Maximum5880
Zeros89
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:05.829729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile711.6
Maximum5880
Range5880
Interquartile range (IQR)0

Descriptive statistics

Standard deviation746.3156
Coefficient of variation (CV)4.6998722
Kurtosis43.439905
Mean158.79487
Median Absolute Deviation (MAD)0
Skewness6.4166554
Sum18579
Variance556986.97
MonotonicityNot monotonic
2024-04-17T20:12:05.931290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 89
76.1%
1 6
 
5.1%
4 3
 
2.6%
4865 1
 
0.9%
502 1
 
0.9%
3 1
 
0.9%
175 1
 
0.9%
808 1
 
0.9%
548 1
 
0.9%
297 1
 
0.9%
Other values (12) 12
 
10.3%
ValueCountFrequency (%)
0 89
76.1%
1 6
 
5.1%
2 1
 
0.9%
3 1
 
0.9%
4 3
 
2.6%
9 1
 
0.9%
13 1
 
0.9%
34 1
 
0.9%
162 1
 
0.9%
175 1
 
0.9%
ValueCountFrequency (%)
5880 1
0.9%
4865 1
0.9%
2436 1
0.9%
940 1
0.9%
808 1
0.9%
746 1
0.9%
703 1
0.9%
548 1
0.9%
502 1
0.9%
297 1
0.9%

콘크리트 용도변경
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.8547
Minimum0
Maximum4865
Zeros93
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:06.035485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile494.4
Maximum4865
Range4865
Interquartile range (IQR)0

Descriptive statistics

Standard deviation600.62578
Coefficient of variation (CV)4.9698173
Kurtosis47.160739
Mean120.8547
Median Absolute Deviation (MAD)0
Skewness6.692998
Sum14140
Variance360751.33
MonotonicityNot monotonic
2024-04-17T20:12:06.130841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 93
79.5%
1 5
 
4.3%
3 2
 
1.7%
2 2
 
1.7%
618 1
 
0.9%
187 1
 
0.9%
6 1
 
0.9%
1613 1
 
0.9%
19 1
 
0.9%
3920 1
 
0.9%
Other values (9) 9
 
7.7%
ValueCountFrequency (%)
0 93
79.5%
1 5
 
4.3%
2 2
 
1.7%
3 2
 
1.7%
4 1
 
0.9%
6 1
 
0.9%
19 1
 
0.9%
117 1
 
0.9%
187 1
 
0.9%
251 1
 
0.9%
ValueCountFrequency (%)
4865 1
0.9%
3920 1
0.9%
1613 1
0.9%
808 1
0.9%
618 1
0.9%
548 1
0.9%
481 1
0.9%
391 1
0.9%
297 1
0.9%
251 1
0.9%

철골 용도변경
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.145299
Minimum0
Maximum1116
Zeros109
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:06.223527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.6
Maximum1116
Range1116
Interquartile range (IQR)0

Descriptive statistics

Standard deviation125.08647
Coefficient of variation (CV)6.2092139
Kurtosis57.91136
Mean20.145299
Median Absolute Deviation (MAD)0
Skewness7.3504341
Sum2357
Variance15646.625
MonotonicityNot monotonic
2024-04-17T20:12:06.309654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 109
93.2%
1 2
 
1.7%
4 1
 
0.9%
684 1
 
0.9%
6 1
 
0.9%
1116 1
 
0.9%
255 1
 
0.9%
290 1
 
0.9%
ValueCountFrequency (%)
0 109
93.2%
1 2
 
1.7%
4 1
 
0.9%
6 1
 
0.9%
255 1
 
0.9%
290 1
 
0.9%
684 1
 
0.9%
1116 1
 
0.9%
ValueCountFrequency (%)
1116 1
 
0.9%
684 1
 
0.9%
290 1
 
0.9%
255 1
 
0.9%
6 1
 
0.9%
4 1
 
0.9%
1 2
 
1.7%
0 109
93.2%

조적 용도변경
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.213675
Minimum0
Maximum459
Zeros104
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-17T20:12:06.408867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33.8
Maximum459
Range459
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.092371
Coefficient of variation (CV)5.0838401
Kurtosis40.986497
Mean12.213675
Median Absolute Deviation (MAD)0
Skewness6.2478501
Sum1429
Variance3855.4626
MonotonicityNot monotonic
2024-04-17T20:12:06.495549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 104
88.9%
1 3
 
2.6%
6 1
 
0.9%
459 1
 
0.9%
85 1
 
0.9%
2 1
 
0.9%
21 1
 
0.9%
8 1
 
0.9%
433 1
 
0.9%
162 1
 
0.9%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
0 104
88.9%
1 3
 
2.6%
2 1
 
0.9%
6 1
 
0.9%
8 1
 
0.9%
21 1
 
0.9%
85 1
 
0.9%
100 1
 
0.9%
150 1
 
0.9%
162 1
 
0.9%
ValueCountFrequency (%)
459 1
0.9%
433 1
0.9%
162 1
0.9%
150 1
0.9%
100 1
0.9%
85 1
0.9%
21 1
0.9%
8 1
0.9%
6 1
0.9%
2 1
0.9%

철골철근 용도변경
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
111 
1
 
3
118
 
1
411
 
1
62
 
1

Length

Max length3
Median length1
Mean length1.042735
Min length1

Unique

Unique3 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 111
94.9%
1 3
 
2.6%
118 1
 
0.9%
411 1
 
0.9%
62 1
 
0.9%

Length

2024-04-17T20:12:06.603135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:06.696978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 111
94.9%
1 3
 
2.6%
118 1
 
0.9%
411 1
 
0.9%
62 1
 
0.9%

나무 용도변경
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
115 
1
 
1
58
 
1

Length

Max length2
Median length1
Mean length1.008547
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 115
98.3%
1 1
 
0.9%
58 1
 
0.9%

Length

2024-04-17T20:12:06.789443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:06.873519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 115
98.3%
1 1
 
0.9%
58 1
 
0.9%

기타 용도변경
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
117 

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 (%)
0 117
100.0%

Length

2024-04-17T20:12:06.957949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:12:07.035217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
100.0%

Sample

구분1구분2합계 계콘크리트 합계철골 합계조적 합계철골철근 합계나무 합계기타 합계신축 계콘크리트 신축철골 신축조적 신축철골철근 신축나무 신축기타 신축증축_개축_이전_대수선 계콘크리트 증축_개축_이전_대수선철골 증축_개축_이전_대수선조적 증축_개축_이전_대수선철골철근 증축_개축_이전_대수선나무 증축_개축_이전_대수선기타 증축_개축_이전_대수선용도변경 계콘크리트 용도변경철골 용도변경조적 용도변경철골철근 용도변경나무 용도변경기타 용도변경
0단독주택건 수0000000000000000000000000000
1단독주택동 수5541642576206834651482164005838013411601009306000
2단독주택연면적47225196261776143380526723343071182101622333560504923332149351538523021809404810459000
3단독주택 다중주택건 수0000000000000000000000000000
4단독주택 다중주택동 수12120000012120000000000000000000
5단독주택 다중주택연면적3266326600000326632660000000000000000000
6단독주택 다가구주택건 수0000000000000000000000000000
7단독주택 다가구주택동 수2001601522030174148618020229930104301000
8단독주택 다가구주택연면적589375324012194085104289056738516348703853104277014969883491470120703618085000
9단독주택 공관건 수0000000000000000000000000000
구분1구분2합계 계콘크리트 합계철골 합계조적 합계철골철근 합계나무 합계기타 합계신축 계콘크리트 신축철골 신축조적 신축철골철근 신축나무 신축기타 신축증축_개축_이전_대수선 계콘크리트 증축_개축_이전_대수선철골 증축_개축_이전_대수선조적 증축_개축_이전_대수선철골철근 증축_개축_이전_대수선나무 증축_개축_이전_대수선기타 증축_개축_이전_대수선용도변경 계콘크리트 용도변경철골 용도변경조적 용도변경철골철근 용도변경나무 용도변경기타 용도변경
107관광휴게시설연면적47047000000000004704700000000000
108가설건축물건 수0000000000000000000000000000
109가설건축물동 수0000000000000000000000000000
110가설건축물연면적0000000000000000000000000000
111장례식장건 수0000000000000000000000000000
112장례식장동 수0000000000000000000000000000
113장례식장연면적0000000000000000000000000000
114기타건 수0000000000000000000000000000
115기타동 수6060000000000060600000000000
116기타연면적56749000000000005674900000000000