Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory196.0 B

Variable types

Text1
Numeric20

Dataset

Description건축물대장 관립번호,대지 면적,건축 면적,건폐율,연면적,용적율 산정 연면적,용적율,주건축물수,부속 건축물수,부속 건축물 면적,세대수,가구수,총주차수,옥내 자주식 대수,옥내 자주식 면적,옥외 자주식 대수,옥외 자주식 면적,옥내 기계식 대수,옥내 기계식 면적,옥외 기계식 대수,옥외 기계식 면적
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15388/S/1/datasetView.do

Alerts

대지 면적 is highly skewed (γ1 = 43.71442653)Skewed
연면적 is highly skewed (γ1 = 99.98157103)Skewed
용적율 산정 연면적 is highly skewed (γ1 = 84.59049456)Skewed
용적율 is highly skewed (γ1 = 99.50690867)Skewed
부속 건축물수 is highly skewed (γ1 = 47.73060019)Skewed
부속 건축물 면적 is highly skewed (γ1 = 99.40175731)Skewed
가구수 is highly skewed (γ1 = 23.90948796)Skewed
옥외 자주식 면적 is highly skewed (γ1 = 53.08762101)Skewed
옥내 기계식 대수 is highly skewed (γ1 = 71.43323982)Skewed
옥내 기계식 면적 is highly skewed (γ1 = 27.24431368)Skewed
옥외 기계식 대수 is highly skewed (γ1 = 30.93478872)Skewed
옥외 기계식 면적 is highly skewed (γ1 = 99.85391234)Skewed
건축물대장 관립번호 has unique valuesUnique
대지 면적 has 5242 (52.4%) zerosZeros
건축 면적 has 2227 (22.3%) zerosZeros
건폐율 has 5302 (53.0%) zerosZeros
용적율 산정 연면적 has 2278 (22.8%) zerosZeros
용적율 has 5305 (53.0%) zerosZeros
주건축물수 has 1058 (10.6%) zerosZeros
부속 건축물수 has 7929 (79.3%) zerosZeros
부속 건축물 면적 has 7974 (79.7%) zerosZeros
세대수 has 6254 (62.5%) zerosZeros
가구수 has 6102 (61.0%) zerosZeros
총주차수 has 6094 (60.9%) zerosZeros
옥내 자주식 대수 has 7144 (71.4%) zerosZeros
옥내 자주식 면적 has 7816 (78.2%) zerosZeros
옥외 자주식 대수 has 6590 (65.9%) zerosZeros
옥외 자주식 면적 has 8108 (81.1%) zerosZeros
옥내 기계식 대수 has 9844 (98.4%) zerosZeros
옥내 기계식 면적 has 9901 (99.0%) zerosZeros
옥외 기계식 대수 has 9960 (99.6%) zerosZeros
옥외 기계식 면적 has 9979 (99.8%) zerosZeros

Reproduction

Analysis started2024-05-18 09:41:22.099012
Analysis finished2024-05-18 09:41:22.910956
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물대장 관립번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T18:41:23.294466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length9
Mean length10.8545
Min length7

Characters and Unicode

Total characters108545
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row11680-67
2nd row11500-585
3rd row11290-1269
4th row11500-791
5th row11200-489
ValueCountFrequency (%)
11680-67 1
 
< 0.1%
11500-100215720 1
 
< 0.1%
11260-612 1
 
< 0.1%
11320-126 1
 
< 0.1%
11320-177 1
 
< 0.1%
11200-567 1
 
< 0.1%
11710-497 1
 
< 0.1%
11530-1000000000000000081053 1
 
< 0.1%
11500-100272912 1
 
< 0.1%
11200-1004 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-18T18:41:24.122523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 30993
28.6%
0 20647
19.0%
- 10000
 
9.2%
2 8714
 
8.0%
5 7666
 
7.1%
4 6409
 
5.9%
3 6237
 
5.7%
6 5363
 
4.9%
7 4273
 
3.9%
9 4185
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98545
90.8%
Dash Punctuation 10000
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30993
31.5%
0 20647
21.0%
2 8714
 
8.8%
5 7666
 
7.8%
4 6409
 
6.5%
3 6237
 
6.3%
6 5363
 
5.4%
7 4273
 
4.3%
9 4185
 
4.2%
8 4058
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108545
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 30993
28.6%
0 20647
19.0%
- 10000
 
9.2%
2 8714
 
8.0%
5 7666
 
7.1%
4 6409
 
5.9%
3 6237
 
5.7%
6 5363
 
4.9%
7 4273
 
3.9%
9 4185
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108545
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 30993
28.6%
0 20647
19.0%
- 10000
 
9.2%
2 8714
 
8.0%
5 7666
 
7.1%
4 6409
 
5.9%
3 6237
 
5.7%
6 5363
 
4.9%
7 4273
 
3.9%
9 4185
 
3.9%

대지 면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct4342
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6058.1413
Minimum0
Maximum3425949.9
Zeros5242
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:24.476755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31117.5175
95-th percentile24134.84
Maximum3425949.9
Range3425949.9
Interquartile range (IQR)1117.5175

Descriptive statistics

Standard deviation47747.405
Coefficient of variation (CV)7.8815272
Kurtosis2765.4125
Mean6058.1413
Median Absolute Deviation (MAD)0
Skewness43.714427
Sum60581413
Variance2.2798147 × 109
MonotonicityNot monotonic
2024-05-18T18:41:24.962677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5242
52.4%
585.0 7
 
0.1%
330.0 5
 
0.1%
579.0 5
 
0.1%
218.0 5
 
0.1%
550.0 4
 
< 0.1%
532.0 4
 
< 0.1%
428.0 4
 
< 0.1%
496.0 4
 
< 0.1%
719.0 4
 
< 0.1%
Other values (4332) 4716
47.2%
ValueCountFrequency (%)
0.0 5242
52.4%
28.7 1
 
< 0.1%
34.357 1
 
< 0.1%
49.6 1
 
< 0.1%
58.2 1
 
< 0.1%
59.38 1
 
< 0.1%
68.35 1
 
< 0.1%
69.4 1
 
< 0.1%
70.6 1
 
< 0.1%
72.6 1
 
< 0.1%
ValueCountFrequency (%)
3425949.9 1
< 0.1%
1230943.3 1
< 0.1%
1224912.0 1
< 0.1%
890000.0 1
< 0.1%
790640.0 2
< 0.1%
692534.0 1
< 0.1%
662543.0 1
< 0.1%
656178.8 1
< 0.1%
640260.0 1
< 0.1%
536088.5 1
< 0.1%

건축 면적
Real number (ℝ)

ZEROS 

Distinct7104
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1335.0438
Minimum0
Maximum206997.09
Zeros2227
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:25.447998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q158.015
median240.32
Q3733.7275
95-th percentile5916.0965
Maximum206997.09
Range206997.09
Interquartile range (IQR)675.7125

Descriptive statistics

Standard deviation4704.2229
Coefficient of variation (CV)3.523647
Kurtosis515.89082
Mean1335.0438
Median Absolute Deviation (MAD)240.32
Skewness17.042722
Sum13350438
Variance22129713
MonotonicityNot monotonic
2024-05-18T18:41:25.870927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2227
 
22.3%
46.28 19
 
0.2%
62.81 19
 
0.2%
69.42 13
 
0.1%
79.34 13
 
0.1%
66.12 13
 
0.1%
56.2 10
 
0.1%
52.89 10
 
0.1%
119.01 10
 
0.1%
92.56 10
 
0.1%
Other values (7094) 7656
76.6%
ValueCountFrequency (%)
0.0 2227
22.3%
6.62 1
 
< 0.1%
11.57 1
 
< 0.1%
11.97 1
 
< 0.1%
19.77 1
 
< 0.1%
19.84 1
 
< 0.1%
19.98 1
 
< 0.1%
21.3 1
 
< 0.1%
22.12 1
 
< 0.1%
23.14 1
 
< 0.1%
ValueCountFrequency (%)
206997.09 1
< 0.1%
127127.3 1
< 0.1%
112573.17 1
< 0.1%
97292.4 1
< 0.1%
83932.15 1
< 0.1%
82918.59 1
< 0.1%
76940.47 1
< 0.1%
74770.28 1
< 0.1%
67270.07 1
< 0.1%
66576.62 1
< 0.1%

건폐율
Real number (ℝ)

ZEROS 

Distinct2856
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.213667
Minimum0
Maximum786
Zeros5302
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:26.292209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q341.7075
95-th percentile59.4
Maximum786
Range786
Interquartile range (IQR)41.7075

Descriptive statistics

Standard deviation25.288467
Coefficient of variation (CV)1.3161708
Kurtosis109.75831
Mean19.213667
Median Absolute Deviation (MAD)0
Skewness4.5550911
Sum192136.67
Variance639.50654
MonotonicityNot monotonic
2024-05-18T18:41:26.769865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5302
53.0%
59.91 18
 
0.2%
59.98 16
 
0.2%
59.96 16
 
0.2%
59.97 14
 
0.1%
59.99 14
 
0.1%
59.92 13
 
0.1%
59.94 12
 
0.1%
59.87 12
 
0.1%
49.96 12
 
0.1%
Other values (2846) 4571
45.7%
ValueCountFrequency (%)
0.0 5302
53.0%
0.03 1
 
< 0.1%
0.06 2
 
< 0.1%
0.22 1
 
< 0.1%
0.24 1
 
< 0.1%
0.3156 1
 
< 0.1%
0.318 1
 
< 0.1%
0.387 1
 
< 0.1%
0.47 1
 
< 0.1%
0.59 1
 
< 0.1%
ValueCountFrequency (%)
786.0 1
< 0.1%
593.31 1
< 0.1%
118.89 1
< 0.1%
117.96 1
< 0.1%
115.57 1
< 0.1%
106.78 1
< 0.1%
105.77 1
< 0.1%
105.11 1
< 0.1%
104.79 1
< 0.1%
100.81 1
< 0.1%

연면적
Real number (ℝ)

SKEWED 

Distinct9068
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99858.64
Minimum0
Maximum8.5163424 × 108
Zeros94
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:27.231268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.5385
Q1195.9525
median850.06
Q33732.685
95-th percentile72354.578
Maximum8.5163424 × 108
Range8.5163424 × 108
Interquartile range (IQR)3536.7325

Descriptive statistics

Standard deviation8516720.9
Coefficient of variation (CV)85.287771
Kurtosis9997.5318
Mean99858.64
Median Absolute Deviation (MAD)733.43
Skewness99.981571
Sum9.985864 × 108
Variance7.2534535 × 1013
MonotonicityNot monotonic
2024-05-18T18:41:27.672787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 94
 
0.9%
62.81 26
 
0.3%
46.28 21
 
0.2%
66.12 21
 
0.2%
69.42 19
 
0.2%
56.2 17
 
0.2%
59.5 17
 
0.2%
92.56 16
 
0.2%
119.01 15
 
0.1%
85.95 14
 
0.1%
Other values (9058) 9740
97.4%
ValueCountFrequency (%)
0.0 94
0.9%
6.62 1
 
< 0.1%
10.71 1
 
< 0.1%
19.77 1
 
< 0.1%
19.84 1
 
< 0.1%
19.98 1
 
< 0.1%
20.66 1
 
< 0.1%
21.3 1
 
< 0.1%
22.12 1
 
< 0.1%
23.14 1
 
< 0.1%
ValueCountFrequency (%)
851634243.0 1
< 0.1%
7900688.0 1
< 0.1%
1563379.68 1
< 0.1%
1374746.33 1
< 0.1%
1179837.66 1
< 0.1%
1176027.0 1
< 0.1%
935030.72 1
< 0.1%
839026.856 1
< 0.1%
792584.63 1
< 0.1%
688558.45 1
< 0.1%

용적율 산정 연면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct7220
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24958.939
Minimum0
Maximum1.1202372 × 108
Zeros2278
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:28.134447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156.2
median448.55
Q32176.755
95-th percentile49679.762
Maximum1.1202372 × 108
Range1.1202372 × 108
Interquartile range (IQR)2120.555

Descriptive statistics

Standard deviation1210868.1
Coefficient of variation (CV)48.514405
Kurtosis7527.2977
Mean24958.939
Median Absolute Deviation (MAD)448.55
Skewness84.590495
Sum2.4958939 × 108
Variance1.4662015 × 1012
MonotonicityNot monotonic
2024-05-18T18:41:28.580405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2278
 
22.8%
62.81 19
 
0.2%
46.28 17
 
0.2%
66.12 14
 
0.1%
79.34 12
 
0.1%
69.42 12
 
0.1%
52.89 10
 
0.1%
56.2 10
 
0.1%
92.56 10
 
0.1%
59.5 9
 
0.1%
Other values (7210) 7609
76.1%
ValueCountFrequency (%)
0.0 2278
22.8%
1.0 1
 
< 0.1%
6.62 1
 
< 0.1%
11.97 1
 
< 0.1%
19.77 1
 
< 0.1%
19.84 1
 
< 0.1%
19.98 1
 
< 0.1%
21.3 1
 
< 0.1%
22.12 1
 
< 0.1%
23.14 1
 
< 0.1%
ValueCountFrequency (%)
112023716.0 1
< 0.1%
45887329.0 1
< 0.1%
991121.07 1
< 0.1%
793974.21 1
< 0.1%
603810.82 1
< 0.1%
603406.17 1
< 0.1%
519326.812 1
< 0.1%
506303.17 1
< 0.1%
448022.02 1
< 0.1%
443275.5 1
< 0.1%

용적율
Real number (ℝ)

SKEWED  ZEROS 

Distinct3919
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.55539
Minimum0
Maximum201802.78
Zeros5305
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:28.999609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3186.0225
95-th percentile295.717
Maximum201802.78
Range201802.78
Interquartile range (IQR)186.0225

Descriptive statistics

Standard deviation2020.5119
Coefficient of variation (CV)19.3248
Kurtosis9934.2604
Mean104.55539
Median Absolute Deviation (MAD)0
Skewness99.506909
Sum1045553.9
Variance4082468.2
MonotonicityNot monotonic
2024-05-18T18:41:30.114695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5305
53.0%
199.96 26
 
0.3%
199.99 19
 
0.2%
199.98 19
 
0.2%
199.95 15
 
0.1%
199.8 14
 
0.1%
199.94 14
 
0.1%
199.92 13
 
0.1%
199.89 13
 
0.1%
199.97 13
 
0.1%
Other values (3909) 4549
45.5%
ValueCountFrequency (%)
0.0 5305
53.0%
0.03 1
 
< 0.1%
0.08 1
 
< 0.1%
0.1 1
 
< 0.1%
0.22 1
 
< 0.1%
0.24 1
 
< 0.1%
0.3156 1
 
< 0.1%
0.318 1
 
< 0.1%
0.444 1
 
< 0.1%
0.59 1
 
< 0.1%
ValueCountFrequency (%)
201802.78 1
< 0.1%
1132.94 1
< 0.1%
1120.92 1
< 0.1%
996.76 1
< 0.1%
990.72 1
< 0.1%
987.33 1
< 0.1%
919.65 1
< 0.1%
831.35 1
< 0.1%
830.22 1
< 0.1%
825.03 1
< 0.1%

주건축물수
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3321
Minimum0
Maximum220
Zeros1058
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:30.533598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile10
Maximum220
Range220
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.7170865
Coefficient of variation (CV)1.7157608
Kurtosis349.67131
Mean3.3321
Median Absolute Deviation (MAD)0
Skewness13.834242
Sum33321
Variance32.685078
MonotonicityNot monotonic
2024-05-18T18:41:30.928999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5398
54.0%
3 1284
 
12.8%
0 1058
 
10.6%
4 570
 
5.7%
5 339
 
3.4%
1 232
 
2.3%
6 206
 
2.1%
7 159
 
1.6%
8 105
 
1.1%
10 97
 
1.0%
Other values (54) 552
 
5.5%
ValueCountFrequency (%)
0 1058
 
10.6%
1 232
 
2.3%
2 5398
54.0%
3 1284
 
12.8%
4 570
 
5.7%
5 339
 
3.4%
6 206
 
2.1%
7 159
 
1.6%
8 105
 
1.1%
9 93
 
0.9%
ValueCountFrequency (%)
220 1
< 0.1%
157 1
< 0.1%
139 1
< 0.1%
122 1
< 0.1%
98 1
< 0.1%
93 1
< 0.1%
86 2
< 0.1%
81 1
< 0.1%
70 1
< 0.1%
66 2
< 0.1%

부속 건축물수
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9913
Minimum0
Maximum369
Zeros7929
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:31.322393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum369
Range369
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7690564
Coefficient of variation (CV)4.8109113
Kurtosis3559.9607
Mean0.9913
Median Absolute Deviation (MAD)0
Skewness47.7306
Sum9913
Variance22.743899
MonotonicityNot monotonic
2024-05-18T18:41:31.859730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 7929
79.3%
1 596
 
6.0%
2 307
 
3.1%
3 256
 
2.6%
4 219
 
2.2%
5 136
 
1.4%
6 117
 
1.2%
7 95
 
0.9%
8 68
 
0.7%
9 45
 
0.4%
Other values (29) 232
 
2.3%
ValueCountFrequency (%)
0 7929
79.3%
1 596
 
6.0%
2 307
 
3.1%
3 256
 
2.6%
4 219
 
2.2%
5 136
 
1.4%
6 117
 
1.2%
7 95
 
0.9%
8 68
 
0.7%
9 45
 
0.4%
ValueCountFrequency (%)
369 1
< 0.1%
75 1
< 0.1%
66 1
< 0.1%
45 1
< 0.1%
41 1
< 0.1%
36 2
< 0.1%
35 1
< 0.1%
32 2
< 0.1%
31 1
< 0.1%
29 1
< 0.1%

부속 건축물 면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1874
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6846.7607
Minimum0
Maximum42660888
Zeros7974
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:32.427846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11359.425
Maximum42660888
Range42660888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation427457.66
Coefficient of variation (CV)62.432102
Kurtosis9918.4505
Mean6846.7607
Median Absolute Deviation (MAD)0
Skewness99.401757
Sum68467607
Variance1.8272005 × 1011
MonotonicityNot monotonic
2024-05-18T18:41:32.987531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7974
79.7%
72.0 10
 
0.1%
1.0 9
 
0.1%
3.31 7
 
0.1%
6.61 7
 
0.1%
108.0 7
 
0.1%
9.92 7
 
0.1%
19.83 6
 
0.1%
1.2 6
 
0.1%
36.0 5
 
0.1%
Other values (1864) 1962
 
19.6%
ValueCountFrequency (%)
0.0 7974
79.7%
0.83 1
 
< 0.1%
0.9 1
 
< 0.1%
0.99 3
 
< 0.1%
1.0 9
 
0.1%
1.09 1
 
< 0.1%
1.19 1
 
< 0.1%
1.2 6
 
0.1%
1.21 2
 
< 0.1%
1.42 2
 
< 0.1%
ValueCountFrequency (%)
42660888.0 1
< 0.1%
2131950.0 1
< 0.1%
1071584.08 1
< 0.1%
543517.68 1
< 0.1%
371257.69 1
< 0.1%
312841.29 1
< 0.1%
307418.631 1
< 0.1%
277018.81 1
< 0.1%
232808.63 1
< 0.1%
207408.4484 1
< 0.1%

세대수
Real number (ℝ)

ZEROS 

Distinct821
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.4436
Minimum0
Maximum9510
Zeros6254
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:33.480717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile497
Maximum9510
Range9510
Interquartile range (IQR)20

Descriptive statistics

Standard deviation323.28065
Coefficient of variation (CV)3.7835561
Kurtosis155.15535
Mean85.4436
Median Absolute Deviation (MAD)0
Skewness9.5572886
Sum854436
Variance104510.38
MonotonicityNot monotonic
2024-05-18T18:41:33.917526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6254
62.5%
16 246
 
2.5%
20 207
 
2.1%
29 178
 
1.8%
19 145
 
1.5%
12 142
 
1.4%
18 139
 
1.4%
28 109
 
1.1%
24 98
 
1.0%
2 51
 
0.5%
Other values (811) 2431
 
24.3%
ValueCountFrequency (%)
0 6254
62.5%
1 27
 
0.3%
2 51
 
0.5%
3 8
 
0.1%
4 29
 
0.3%
5 9
 
0.1%
6 33
 
0.3%
7 13
 
0.1%
8 43
 
0.4%
9 40
 
0.4%
ValueCountFrequency (%)
9510 1
< 0.1%
6864 1
< 0.1%
5562 1
< 0.1%
5540 1
< 0.1%
5150 1
< 0.1%
4932 1
< 0.1%
4524 1
< 0.1%
4515 1
< 0.1%
4492 1
< 0.1%
4397 1
< 0.1%

가구수
Real number (ℝ)

SKEWED  ZEROS 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.196
Minimum0
Maximum198
Zeros6102
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:34.412620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum198
Range198
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6290083
Coefficient of variation (CV)3.0342878
Kurtosis1042.8003
Mean1.196
Median Absolute Deviation (MAD)0
Skewness23.909488
Sum11960
Variance13.169701
MonotonicityNot monotonic
2024-05-18T18:41:34.879773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 6102
61.0%
2 1709
 
17.1%
1 986
 
9.9%
3 449
 
4.5%
4 211
 
2.1%
5 137
 
1.4%
6 111
 
1.1%
7 59
 
0.6%
8 41
 
0.4%
9 34
 
0.3%
Other values (30) 161
 
1.6%
ValueCountFrequency (%)
0 6102
61.0%
1 986
 
9.9%
2 1709
 
17.1%
3 449
 
4.5%
4 211
 
2.1%
5 137
 
1.4%
6 111
 
1.1%
7 59
 
0.6%
8 41
 
0.4%
9 34
 
0.3%
ValueCountFrequency (%)
198 1
< 0.1%
119 1
< 0.1%
83 1
< 0.1%
81 1
< 0.1%
56 1
< 0.1%
50 1
< 0.1%
44 1
< 0.1%
38 1
< 0.1%
35 1
< 0.1%
34 2
< 0.1%

총주차수
Real number (ℝ)

ZEROS 

Distinct833
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.4387
Minimum0
Maximum12602
Zeros6094
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:35.330732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile488
Maximum12602
Range12602
Interquartile range (IQR)18

Descriptive statistics

Standard deviation371.37694
Coefficient of variation (CV)4.2472834
Kurtosis255.682
Mean87.4387
Median Absolute Deviation (MAD)0
Skewness12.236753
Sum874387
Variance137920.83
MonotonicityNot monotonic
2024-05-18T18:41:35.788206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6094
60.9%
16 236
 
2.4%
13 131
 
1.3%
20 111
 
1.1%
18 101
 
1.0%
17 86
 
0.9%
15 83
 
0.8%
14 82
 
0.8%
21 81
 
0.8%
12 81
 
0.8%
Other values (823) 2914
29.1%
ValueCountFrequency (%)
0 6094
60.9%
1 66
 
0.7%
2 78
 
0.8%
3 65
 
0.7%
4 74
 
0.7%
5 61
 
0.6%
6 55
 
0.5%
7 49
 
0.5%
8 66
 
0.7%
9 30
 
0.3%
ValueCountFrequency (%)
12602 1
< 0.1%
9766 1
< 0.1%
7876 1
< 0.1%
7167 1
< 0.1%
6458 1
< 0.1%
6140 1
< 0.1%
5396 1
< 0.1%
4932 1
< 0.1%
4596 1
< 0.1%
4580 1
< 0.1%

옥내 자주식 대수
Real number (ℝ)

ZEROS 

Distinct749
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.6837
Minimum0
Maximum12585
Zeros7144
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:36.187824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile395
Maximum12585
Range12585
Interquartile range (IQR)7

Descriptive statistics

Standard deviation348.26654
Coefficient of variation (CV)4.8583784
Kurtosis322.49515
Mean71.6837
Median Absolute Deviation (MAD)0
Skewness13.924668
Sum716837
Variance121289.58
MonotonicityNot monotonic
2024-05-18T18:41:36.678764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7144
71.4%
9 103
 
1.0%
10 98
 
1.0%
11 98
 
1.0%
8 98
 
1.0%
12 91
 
0.9%
7 81
 
0.8%
14 79
 
0.8%
13 66
 
0.7%
2 66
 
0.7%
Other values (739) 2076
 
20.8%
ValueCountFrequency (%)
0 7144
71.4%
1 43
 
0.4%
2 66
 
0.7%
3 48
 
0.5%
4 63
 
0.6%
5 50
 
0.5%
6 64
 
0.6%
7 81
 
0.8%
8 98
 
1.0%
9 103
 
1.0%
ValueCountFrequency (%)
12585 1
< 0.1%
9752 1
< 0.1%
7876 1
< 0.1%
7132 1
< 0.1%
6455 1
< 0.1%
6140 1
< 0.1%
5393 1
< 0.1%
4589 1
< 0.1%
4580 1
< 0.1%
4435 1
< 0.1%

옥내 자주식 면적
Real number (ℝ)

ZEROS 

Distinct1990
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2194.9031
Minimum0
Maximum510725.8
Zeros7816
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:37.099140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11301.834
Maximum510725.8
Range510725.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12567.536
Coefficient of variation (CV)5.7257814
Kurtosis457.31392
Mean2194.9031
Median Absolute Deviation (MAD)0
Skewness16.772728
Sum21949031
Variance1.5794295 × 108
MonotonicityNot monotonic
2024-05-18T18:41:37.543372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7816
78.2%
103.5 17
 
0.2%
115.0 10
 
0.1%
46.0 10
 
0.1%
23.0 9
 
0.1%
80.5 8
 
0.1%
69.0 8
 
0.1%
92.0 7
 
0.1%
34.5 7
 
0.1%
138.0 7
 
0.1%
Other values (1980) 2101
 
21.0%
ValueCountFrequency (%)
0.0 7816
78.2%
9.12 1
 
< 0.1%
11.5 5
 
0.1%
12.0 2
 
< 0.1%
12.48 1
 
< 0.1%
13.78 1
 
< 0.1%
15.0 1
 
< 0.1%
15.12 1
 
< 0.1%
15.39 1
 
< 0.1%
18.0 1
 
< 0.1%
ValueCountFrequency (%)
510725.8 1
< 0.1%
361211.46 1
< 0.1%
305371.47 1
< 0.1%
297730.176 1
< 0.1%
267601.13 1
< 0.1%
187061.4873 1
< 0.1%
184730.67 1
< 0.1%
184103.7328 1
< 0.1%
169463.1982 1
< 0.1%
162723.08 1
< 0.1%

옥외 자주식 대수
Real number (ℝ)

ZEROS 

Distinct313
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.8958
Minimum0
Maximum2906
Zeros6590
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:37.923402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile72
Maximum2906
Range2906
Interquartile range (IQR)5

Descriptive statistics

Standard deviation78.306686
Coefficient of variation (CV)4.9262501
Kurtosis352.47205
Mean15.8958
Median Absolute Deviation (MAD)0
Skewness15.205161
Sum158958
Variance6131.9371
MonotonicityNot monotonic
2024-05-18T18:41:38.258547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6590
65.9%
4 211
 
2.1%
2 199
 
2.0%
6 184
 
1.8%
3 178
 
1.8%
5 173
 
1.7%
1 157
 
1.6%
8 136
 
1.4%
7 133
 
1.3%
16 98
 
1.0%
Other values (303) 1941
 
19.4%
ValueCountFrequency (%)
0 6590
65.9%
1 157
 
1.6%
2 199
 
2.0%
3 178
 
1.8%
4 211
 
2.1%
5 173
 
1.7%
6 184
 
1.8%
7 133
 
1.3%
8 136
 
1.4%
9 80
 
0.8%
ValueCountFrequency (%)
2906 1
< 0.1%
1963 1
< 0.1%
1794 1
< 0.1%
1625 1
< 0.1%
1551 1
< 0.1%
1466 1
< 0.1%
1444 1
< 0.1%
1285 1
< 0.1%
1262 1
< 0.1%
1157 1
< 0.1%

옥외 자주식 면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct832
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.155162
Minimum0
Maximum72307.16
Zeros8108
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:38.612603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile356.5
Maximum72307.16
Range72307.16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation918.2089
Coefficient of variation (CV)9.8567689
Kurtosis3897.5015
Mean93.155162
Median Absolute Deviation (MAD)0
Skewness53.087621
Sum931551.62
Variance843107.58
MonotonicityNot monotonic
2024-05-18T18:41:39.103999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8108
81.1%
46.0 81
 
0.8%
23.0 79
 
0.8%
69.0 71
 
0.7%
34.5 69
 
0.7%
11.5 68
 
0.7%
57.5 58
 
0.6%
92.0 43
 
0.4%
80.5 34
 
0.3%
184.0 25
 
0.2%
Other values (822) 1364
 
13.6%
ValueCountFrequency (%)
0.0 8108
81.1%
2.3 1
 
< 0.1%
7.2 1
 
< 0.1%
8.5 1
 
< 0.1%
11.5 68
 
0.7%
12.0 9
 
0.1%
12.5 4
 
< 0.1%
13.52 1
 
< 0.1%
14.77 1
 
< 0.1%
15.0 2
 
< 0.1%
ValueCountFrequency (%)
72307.16 1
< 0.1%
20657.0 1
< 0.1%
18980.81 1
< 0.1%
15829.5 1
< 0.1%
15111.0 1
< 0.1%
12178.5 1
< 0.1%
10635.2 1
< 0.1%
9803.5 1
< 0.1%
9614.0 1
< 0.1%
9407.33 1
< 0.1%

옥내 기계식 대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct66
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8226
Minimum0
Maximum1463
Zeros9844
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:39.516733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1463
Range1463
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.553058
Coefficient of variation (CV)20.122852
Kurtosis6133.532
Mean0.8226
Median Absolute Deviation (MAD)0
Skewness71.43324
Sum8226
Variance274.00373
MonotonicityNot monotonic
2024-05-18T18:41:39.966906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9844
98.4%
40 9
 
0.1%
18 8
 
0.1%
32 6
 
0.1%
12 6
 
0.1%
11 6
 
0.1%
26 5
 
0.1%
68 5
 
0.1%
16 4
 
< 0.1%
30 4
 
< 0.1%
Other values (56) 103
 
1.0%
ValueCountFrequency (%)
0 9844
98.4%
2 1
 
< 0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
10 3
 
< 0.1%
11 6
 
0.1%
12 6
 
0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
1463 1
< 0.1%
396 1
< 0.1%
267 1
< 0.1%
174 1
< 0.1%
167 1
< 0.1%
142 1
< 0.1%
128 1
< 0.1%
126 1
< 0.1%
125 1
< 0.1%
94 1
< 0.1%

옥내 기계식 면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4816622
Minimum0
Maximum1771.72
Zeros9901
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:40.632048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1771.72
Range1771.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.271512
Coefficient of variation (CV)16.630592
Kurtosis898.50969
Mean2.4816622
Median Absolute Deviation (MAD)0
Skewness27.244314
Sum24816.622
Variance1703.3377
MonotonicityNot monotonic
2024-05-18T18:41:41.053000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9901
99.0%
887.08 1
 
< 0.1%
47.25 1
 
< 0.1%
53.2 1
 
< 0.1%
285.0 1
 
< 0.1%
957.77 1
 
< 0.1%
563.5 1
 
< 0.1%
238.13 1
 
< 0.1%
207.0 1
 
< 0.1%
123.68 1
 
< 0.1%
Other values (90) 90
 
0.9%
ValueCountFrequency (%)
0.0 9901
99.0%
14.4 1
 
< 0.1%
29.76 1
 
< 0.1%
38.64 1
 
< 0.1%
40.12 1
 
< 0.1%
40.95 1
 
< 0.1%
43.4 1
 
< 0.1%
43.71 1
 
< 0.1%
45.0 1
 
< 0.1%
45.26 1
 
< 0.1%
ValueCountFrequency (%)
1771.72 1
< 0.1%
1633.0 1
< 0.1%
1360.0 1
< 0.1%
1140.69 1
< 0.1%
1036.89 1
< 0.1%
957.77 1
< 0.1%
887.08 1
< 0.1%
826.5 1
< 0.1%
805.0 1
< 0.1%
668.48 1
< 0.1%

옥외 기계식 대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1745
Minimum0
Maximum178
Zeros9960
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:41.350678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0254776
Coefficient of variation (CV)23.06864
Kurtosis1087.1955
Mean0.1745
Median Absolute Deviation (MAD)0
Skewness30.934789
Sum1745
Variance16.20447
MonotonicityNot monotonic
2024-05-18T18:41:41.766161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 9960
99.6%
8 6
 
0.1%
34 3
 
< 0.1%
7 3
 
< 0.1%
38 2
 
< 0.1%
5 2
 
< 0.1%
9 2
 
< 0.1%
44 2
 
< 0.1%
42 2
 
< 0.1%
2 2
 
< 0.1%
Other values (16) 16
 
0.2%
ValueCountFrequency (%)
0 9960
99.6%
1 1
 
< 0.1%
2 2
 
< 0.1%
5 2
 
< 0.1%
7 3
 
< 0.1%
8 6
 
0.1%
9 2
 
< 0.1%
16 1
 
< 0.1%
32 1
 
< 0.1%
34 3
 
< 0.1%
ValueCountFrequency (%)
178 1
< 0.1%
156 1
< 0.1%
150 1
< 0.1%
136 1
< 0.1%
112 1
< 0.1%
100 1
< 0.1%
92 1
< 0.1%
84 1
< 0.1%
58 1
< 0.1%
52 1
< 0.1%

옥외 기계식 면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.232326
Minimum0
Maximum29705
Zeros9979
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T18:41:42.038246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum29705
Range29705
Interquartile range (IQR)0

Descriptive statistics

Standard deviation297.19372
Coefficient of variation (CV)91.944227
Kurtosis9980.3158
Mean3.232326
Median Absolute Deviation (MAD)0
Skewness99.853912
Sum32323.26
Variance88324.105
MonotonicityNot monotonic
2024-05-18T18:41:42.407472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 9979
99.8%
51.84 2
 
< 0.1%
574.56 1
 
< 0.1%
50.25 1
 
< 0.1%
62.5 1
 
< 0.1%
26.71 1
 
< 0.1%
105.85 1
 
< 0.1%
44.84 1
 
< 0.1%
47.52 1
 
< 0.1%
109.72 1
 
< 0.1%
Other values (11) 11
 
0.1%
ValueCountFrequency (%)
0.0 9979
99.8%
26.71 1
 
< 0.1%
31.98 1
 
< 0.1%
44.84 1
 
< 0.1%
47.52 1
 
< 0.1%
50.25 1
 
< 0.1%
51.84 2
 
< 0.1%
52.44 1
 
< 0.1%
53.79 1
 
< 0.1%
54.67 1
 
< 0.1%
ValueCountFrequency (%)
29705.0 1
< 0.1%
574.56 1
< 0.1%
487.0 1
< 0.1%
471.5 1
< 0.1%
116.9 1
< 0.1%
109.72 1
< 0.1%
105.85 1
< 0.1%
86.1 1
< 0.1%
80.5 1
< 0.1%
62.5 1
< 0.1%

Sample

건축물대장 관립번호대지 면적건축 면적건폐율연면적용적율 산정 연면적용적율주건축물수부속 건축물수부속 건축물 면적세대수가구수총주차수옥내 자주식 대수옥내 자주식 면적옥외 자주식 대수옥외 자주식 면적옥내 기계식 대수옥내 기계식 면적옥외 기계식 대수옥외 기계식 면적
1939111680-679108.32446.3826.8632570.5321400.35234.953711346.52118027627610778.0800.000.000.0
1297111500-585639.0379.9759.46962.68962.68150.65500.0004283.78223.000.000.0
205111290-126942880.66408.5414.95149634.8499990.08233.1812449981.3697701257123448366.0230.000.000.0
1475111500-79135544.02703.377.60577572.916806.2419.14885134.8003500.035402.500.000.0
548411200-4890.00.00.0196.430.00.0000.001000.000.000.000.0
1535011215-6780.01017.510.02063.791898.830.0500.0230000.000.000.000.0
1942811290-2970.01267.790.06814.264955.970.0600.000000.000.000.000.0
785611710-100173815845.9351.8441.59442.65422.6849.97200.000500.0557.500.000.0
1542311110-5850.00.00.04631.050.00.0400.000000.000.000.000.0
236811290-58725142.05621.2122.36105949.6282254.27327.1698702.86866080260616331.551960.000.000.0
건축물대장 관립번호대지 면적건축 면적건폐율연면적용적율 산정 연면적용적율주건축물수부속 건축물수부속 건축물 면적세대수가구수총주차수옥내 자주식 대수옥내 자주식 면적옥외 자주식 대수옥외 자주식 면적옥내 기계식 대수옥내 기계식 면적옥외 기계식 대수옥외 기계식 면적
1286311530-9080.0109.50.0255.12182.310.0200.002000.000.000.000.0
1316111560-14860.089.260.089.2689.260.0200.001000.000.000.000.0
893411200-4810.00.00.0434.940.00.0000.001000.000.000.000.0
348711200-6674246.3943.2822.2122238.2415603.93367.472379.7217001861555080.5931364.000.000.0
807211350-2679536.42497.7126.1921808.5418931.42198.5242764.1321101331331553.000.000.000.0
131111170-57694.9201.829.04268.37261.7637.67200.002000.000.000.000.0
1346411530-100242673592.0354.759.921151.221151.22194.46200.02201890.090.000.000.0
1906811440-6500.00.00.0153.71153.710.0200.000000.000.000.000.0
1199711440-9110.0353.490.0825.92706.980.0200.0100000.000.000.000.0
590111210-7880.00.00.00.00.00.0000.000000.000.000.000.0