Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells27354
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory239.0 B

Variable types

Text1
Categorical2
Numeric23

Dataset

Description관리_폐쇄말소대장_PK,신_구_대장_구분_코드,양성화_여부,대지_면적,건축_면적,건폐_율,연면적,용적_율_산정_연면적,용적_율,주_건축물_수,부속_건축물_수,부속_건축물_면적,세대_수,가구_수,총_주차_수,옥내_자주식_대수,옥내_자주식_면적,옥외_자주식_대수,옥외_자주식_면적,옥내_기계식_대수,옥내_기계식_면적,옥외_기계식_대수,옥외_기계식_면적,허가_일,착공_일,사용승인_일
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15395/S/1/datasetView.do

Alerts

신_구_대장_구분_코드 is highly imbalanced (50.9%)Imbalance
양성화_여부 is highly imbalanced (52.3%)Imbalance
허가_일 has 9363 (93.6%) missing valuesMissing
착공_일 has 9607 (96.1%) missing valuesMissing
사용승인_일 has 8384 (83.8%) missing valuesMissing
대지_면적 is highly skewed (γ1 = 61.10127562)Skewed
건축_면적 is highly skewed (γ1 = 42.62402474)Skewed
부속_건축물_면적 is highly skewed (γ1 = 27.46307377)Skewed
세대_수 is highly skewed (γ1 = 29.03220053)Skewed
총_주차_수 is highly skewed (γ1 = 24.85076516)Skewed
옥내_자주식_대수 is highly skewed (γ1 = 26.4989804)Skewed
옥내_자주식_면적 is highly skewed (γ1 = 28.59995967)Skewed
옥외_자주식_대수 is highly skewed (γ1 = 85.32186364)Skewed
옥외_자주식_면적 is highly skewed (γ1 = 46.10587838)Skewed
옥내_기계식_대수 is highly skewed (γ1 = 26.20956281)Skewed
옥내_기계식_면적 is highly skewed (γ1 = 33.15837042)Skewed
옥외_기계식_대수 is highly skewed (γ1 = 34.60126539)Skewed
옥외_기계식_면적 is highly skewed (γ1 = 99.90351722)Skewed
관리_폐쇄말소대장_PK has unique valuesUnique
대지_면적 has 8421 (84.2%) zerosZeros
건축_면적 has 6949 (69.5%) zerosZeros
건폐_율 has 8575 (85.8%) zerosZeros
연면적 has 2963 (29.6%) zerosZeros
용적_율_산정_연면적 has 7029 (70.3%) zerosZeros
용적_율 has 8571 (85.7%) zerosZeros
주_건축물_수 has 4162 (41.6%) zerosZeros
부속_건축물_수 has 9332 (93.3%) zerosZeros
부속_건축물_면적 has 9349 (93.5%) zerosZeros
세대_수 has 9053 (90.5%) zerosZeros
가구_수 has 7018 (70.2%) zerosZeros
총_주차_수 has 9276 (92.8%) zerosZeros
옥내_자주식_대수 has 9635 (96.4%) zerosZeros
옥내_자주식_면적 has 9719 (97.2%) zerosZeros
옥외_자주식_대수 has 9217 (92.2%) zerosZeros
옥외_자주식_면적 has 9566 (95.7%) zerosZeros
옥내_기계식_대수 has 9976 (99.8%) zerosZeros
옥내_기계식_면적 has 9981 (99.8%) zerosZeros
옥외_기계식_대수 has 9973 (99.7%) zerosZeros
옥외_기계식_면적 has 9983 (99.8%) zerosZeros

Reproduction

Analysis started2024-04-29 17:25:38.733212
Analysis finished2024-04-29 17:25:39.553085
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리_폐쇄말소대장_PK
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T02:25:39.691050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length12.3309
Min length7

Characters and Unicode

Total characters123309
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 row11440-100724759
2nd row11200-100060243
3rd row11380-2628
4th row11500-433
5th row11500-100118007
ValueCountFrequency (%)
11440-100724759 1
 
< 0.1%
11380-2007 1
 
< 0.1%
11620-132 1
 
< 0.1%
11230-100215161 1
 
< 0.1%
11620-100308722 1
 
< 0.1%
11680-100966137 1
 
< 0.1%
11230-404 1
 
< 0.1%
11170-100069378 1
 
< 0.1%
11170-100069359 1
 
< 0.1%
11170-100067754 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-30T02:25:39.994480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 33389
27.1%
0 28452
23.1%
- 10000
 
8.1%
2 7898
 
6.4%
3 7559
 
6.1%
5 7212
 
5.8%
4 7029
 
5.7%
6 5956
 
4.8%
7 5554
 
4.5%
8 5547
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113309
91.9%
Dash Punctuation 10000
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33389
29.5%
0 28452
25.1%
2 7898
 
7.0%
3 7559
 
6.7%
5 7212
 
6.4%
4 7029
 
6.2%
6 5956
 
5.3%
7 5554
 
4.9%
8 5547
 
4.9%
9 4713
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 123309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33389
27.1%
0 28452
23.1%
- 10000
 
8.1%
2 7898
 
6.4%
3 7559
 
6.1%
5 7212
 
5.8%
4 7029
 
5.7%
6 5956
 
4.8%
7 5554
 
4.5%
8 5547
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 33389
27.1%
0 28452
23.1%
- 10000
 
8.1%
2 7898
 
6.4%
3 7559
 
6.1%
5 7212
 
5.8%
4 7029
 
5.7%
6 5956
 
4.8%
7 5554
 
4.5%
8 5547
 
4.5%

신_구_대장_구분_코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신대장
7854 
구대장
2106 
<NA>
 
40

Length

Max length4
Median length3
Mean length3.004
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구대장
2nd row신대장
3rd row신대장
4th row신대장
5th row신대장

Common Values

ValueCountFrequency (%)
신대장 7854
78.5%
구대장 2106
 
21.1%
<NA> 40
 
0.4%

Length

2024-04-30T02:25:40.124826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T02:25:40.217860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신대장 7854
78.5%
구대장 2106
 
21.1%
na 40
 
0.4%

양성화_여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
8057 
<NA>
1870 
1
 
73

Length

Max length4
Median length1
Mean length1.561
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 8057
80.6%
<NA> 1870
 
18.7%
1 73
 
0.7%

Length

2024-04-30T02:25:40.315062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T02:25:40.405087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8057
80.6%
na 1870
 
18.7%
1 73
 
0.7%

대지_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1381
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1708.8377
Minimum0
Maximum3397298.5
Zeros8421
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:40.511335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1520.5885
Maximum3397298.5
Range3397298.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51276.887
Coefficient of variation (CV)30.006879
Kurtosis3934.6773
Mean1708.8377
Median Absolute Deviation (MAD)0
Skewness61.101276
Sum17088377
Variance2.6293192 × 109
MonotonicityNot monotonic
2024-04-30T02:25:40.632616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8421
84.2%
15483.6 7
 
0.1%
132.0 6
 
0.1%
139.0 6
 
0.1%
251.0 5
 
0.1%
88.4 5
 
0.1%
364.9 4
 
< 0.1%
855.0 4
 
< 0.1%
435.2 4
 
< 0.1%
622.99 4
 
< 0.1%
Other values (1371) 1534
 
15.3%
ValueCountFrequency (%)
0.0 8421
84.2%
35.7 1
 
< 0.1%
42.9 1
 
< 0.1%
48.6 1
 
< 0.1%
56.38 1
 
< 0.1%
59.0 1
 
< 0.1%
60.55 1
 
< 0.1%
63.435 1
 
< 0.1%
64.5 1
 
< 0.1%
65.54 1
 
< 0.1%
ValueCountFrequency (%)
3397298.5 2
< 0.1%
1573031.4 1
< 0.1%
433520.0 1
< 0.1%
276970.9 1
< 0.1%
262926.0 1
< 0.1%
247144.3 1
< 0.1%
217946.0 1
< 0.1%
171694.0 1
< 0.1%
157005.7 1
< 0.1%
152052.4 1
< 0.1%

건축_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct2594
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.79345
Minimum0
Maximum176110.14
Zeros6949
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:40.747498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q384.37
95-th percentile825.1405
Maximum176110.14
Range176110.14
Interquartile range (IQR)84.37

Descriptive statistics

Standard deviation3024.8184
Coefficient of variation (CV)10.089675
Kurtosis2306.3021
Mean299.79345
Median Absolute Deviation (MAD)0
Skewness42.624025
Sum2997934.5
Variance9149526.2
MonotonicityNot monotonic
2024-04-30T02:25:40.872965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6949
69.5%
52.9 42
 
0.4%
85.95 8
 
0.1%
109.09 8
 
0.1%
889.24 7
 
0.1%
102.48 6
 
0.1%
112.4 6
 
0.1%
66.11 6
 
0.1%
59.5 6
 
0.1%
79.34 5
 
0.1%
Other values (2584) 2957
29.6%
ValueCountFrequency (%)
0.0 6949
69.5%
15.0 1
 
< 0.1%
23.14 1
 
< 0.1%
26.45 1
 
< 0.1%
26.52 1
 
< 0.1%
28.76 1
 
< 0.1%
29.04 1
 
< 0.1%
29.3 1
 
< 0.1%
30.88 1
 
< 0.1%
31.6 1
 
< 0.1%
ValueCountFrequency (%)
176110.14 1
< 0.1%
174290.57 1
< 0.1%
76940.47 1
< 0.1%
62100.67 1
< 0.1%
42322.69 1
< 0.1%
34724.78 1
< 0.1%
31364.95 1
< 0.1%
30845.47 1
< 0.1%
28703.54 1
< 0.1%
27269.054 1
< 0.1%

건폐_율
Real number (ℝ)

ZEROS 

Distinct1107
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3505468
Minimum0
Maximum104.44
Zeros8575
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:41.002863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile53.9405
Maximum104.44
Range104.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.799108
Coefficient of variation (CV)2.6453011
Kurtosis5.1311483
Mean6.3505468
Median Absolute Deviation (MAD)0
Skewness2.5356272
Sum63505.468
Variance282.21004
MonotonicityNot monotonic
2024-04-30T02:25:41.127611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8575
85.8%
59.89 11
 
0.1%
59.98 9
 
0.1%
59.97 7
 
0.1%
5.74 7
 
0.1%
52.84 6
 
0.1%
59.24 6
 
0.1%
49.46 6
 
0.1%
49.99 5
 
0.1%
59.84 5
 
0.1%
Other values (1097) 1363
 
13.6%
ValueCountFrequency (%)
0.0 8575
85.8%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.27 1
 
< 0.1%
0.36 1
 
< 0.1%
0.37 1
 
< 0.1%
0.57 1
 
< 0.1%
0.9017 1
 
< 0.1%
0.92 1
 
< 0.1%
1.17 1
 
< 0.1%
ValueCountFrequency (%)
104.44 1
< 0.1%
96.42 1
< 0.1%
96.01 1
< 0.1%
95.76 1
< 0.1%
95.18 1
< 0.1%
94.35 2
< 0.1%
93.17 1
< 0.1%
93.05 1
< 0.1%
89.85 1
< 0.1%
85.36 1
< 0.1%

연면적
Real number (ℝ)

ZEROS 

Distinct5999
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2159.2684
Minimum0
Maximum624434.11
Zeros2963
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:41.237803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135.57
Q3412.7275
95-th percentile4564.5325
Maximum624434.11
Range624434.11
Interquartile range (IQR)412.7275

Descriptive statistics

Standard deviation16582.777
Coefficient of variation (CV)7.6798126
Kurtosis511.66678
Mean2159.2684
Median Absolute Deviation (MAD)135.57
Skewness19.390145
Sum21592684
Variance2.7498848 × 108
MonotonicityNot monotonic
2024-04-30T02:25:41.355107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2963
29.6%
52.9 41
 
0.4%
59.5 18
 
0.2%
62.81 16
 
0.2%
49.59 14
 
0.1%
79.34 14
 
0.1%
66.12 11
 
0.1%
66.11 11
 
0.1%
72.73 10
 
0.1%
52.89 10
 
0.1%
Other values (5989) 6892
68.9%
ValueCountFrequency (%)
0.0 2963
29.6%
6.21 1
 
< 0.1%
13.76 1
 
< 0.1%
18.9 2
 
< 0.1%
19.83 2
 
< 0.1%
21.24 1
 
< 0.1%
22.12 1
 
< 0.1%
22.32 1
 
< 0.1%
22.36 1
 
< 0.1%
22.48 1
 
< 0.1%
ValueCountFrequency (%)
624434.11 1
< 0.1%
581012.38 1
< 0.1%
364262.8571 1
< 0.1%
346034.88 1
< 0.1%
344696.1 1
< 0.1%
342084.83 1
< 0.1%
340895.38 1
< 0.1%
340669.61 1
< 0.1%
328175.636 1
< 0.1%
290638.14 1
< 0.1%

용적_율_산정_연면적
Real number (ℝ)

ZEROS 

Distinct2587
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1232.3339
Minimum0
Maximum431370.19
Zeros7029
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:41.472055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q395.8625
95-th percentile1883.63
Maximum431370.19
Range431370.19
Interquartile range (IQR)95.8625

Descriptive statistics

Standard deviation11002.693
Coefficient of variation (CV)8.9283376
Kurtosis529.06321
Mean1232.3339
Median Absolute Deviation (MAD)0
Skewness19.830871
Sum12323339
Variance1.2105925 × 108
MonotonicityNot monotonic
2024-04-30T02:25:41.581064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7029
70.3%
52.9 41
 
0.4%
66.11 7
 
0.1%
2657.74 7
 
0.1%
109.09 6
 
0.1%
59.5 6
 
0.1%
112.4 5
 
0.1%
102.48 5
 
0.1%
89.26 5
 
0.1%
148.76 5
 
0.1%
Other values (2577) 2884
28.8%
ValueCountFrequency (%)
0.0 7029
70.3%
23.14 1
 
< 0.1%
26.45 1
 
< 0.1%
26.52 1
 
< 0.1%
28.76 1
 
< 0.1%
30.88 1
 
< 0.1%
32.0 1
 
< 0.1%
33.06 1
 
< 0.1%
33.12 1
 
< 0.1%
35.24 1
 
< 0.1%
ValueCountFrequency (%)
431370.19 1
< 0.1%
315508.28 1
< 0.1%
313607.83 1
< 0.1%
310996.56 1
< 0.1%
244452.9171 1
< 0.1%
212313.786 1
< 0.1%
209675.1 1
< 0.1%
206838.79 1
< 0.1%
166546.98 1
< 0.1%
159892.28 1
< 0.1%

용적_율
Real number (ℝ)

ZEROS 

Distinct1294
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.726884
Minimum0
Maximum805.06
Zeros8571
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:41.704969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile116.111
Maximum805.06
Range805.06
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.079825
Coefficient of variation (CV)3.1207597
Kurtosis33.214627
Mean15.726884
Median Absolute Deviation (MAD)0
Skewness4.6645434
Sum157268.84
Variance2408.8292
MonotonicityNot monotonic
2024-04-30T02:25:41.830394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8571
85.7%
17.16 7
 
0.1%
90.35 4
 
< 0.1%
39.69 4
 
< 0.1%
34.67 4
 
< 0.1%
89.82 4
 
< 0.1%
48.68 3
 
< 0.1%
39.78 3
 
< 0.1%
60.39 3
 
< 0.1%
93.18 3
 
< 0.1%
Other values (1284) 1394
 
13.9%
ValueCountFrequency (%)
0.0 8571
85.7%
0.04 1
 
< 0.1%
0.08 1
 
< 0.1%
0.36 1
 
< 0.1%
0.37 1
 
< 0.1%
0.39 1
 
< 0.1%
0.5805 1
 
< 0.1%
0.63 1
 
< 0.1%
1.17 1
 
< 0.1%
1.33 1
 
< 0.1%
ValueCountFrequency (%)
805.06 1
< 0.1%
798.1 1
< 0.1%
625.32322 1
< 0.1%
598.85 1
< 0.1%
529.59 1
< 0.1%
499.93 1
< 0.1%
476.69 1
< 0.1%
472.98 1
< 0.1%
421.73 1
< 0.1%
408.68 1
< 0.1%

주_건축물_수
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4312
Minimum0
Maximum139
Zeros4162
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:41.948227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum139
Range139
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9273065
Coefficient of variation (CV)2.0453511
Kurtosis605.79408
Mean1.4312
Median Absolute Deviation (MAD)1
Skewness17.759685
Sum14312
Variance8.5691235
MonotonicityNot monotonic
2024-04-30T02:25:42.061155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 4162
41.6%
2 3414
34.1%
1 1320
 
13.2%
3 550
 
5.5%
4 193
 
1.9%
5 97
 
1.0%
6 52
 
0.5%
7 45
 
0.4%
8 29
 
0.3%
9 26
 
0.3%
Other values (31) 112
 
1.1%
ValueCountFrequency (%)
0 4162
41.6%
1 1320
 
13.2%
2 3414
34.1%
3 550
 
5.5%
4 193
 
1.9%
5 97
 
1.0%
6 52
 
0.5%
7 45
 
0.4%
8 29
 
0.3%
9 26
 
0.3%
ValueCountFrequency (%)
139 1
< 0.1%
73 1
< 0.1%
62 1
< 0.1%
61 1
< 0.1%
51 1
< 0.1%
49 1
< 0.1%
48 1
< 0.1%
42 1
< 0.1%
41 2
< 0.1%
39 1
< 0.1%

부속_건축물_수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1725
Minimum0
Maximum23
Zeros9332
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:42.170035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0062033
Coefficient of variation (CV)5.8330624
Kurtosis129.24725
Mean0.1725
Median Absolute Deviation (MAD)0
Skewness10.029537
Sum1725
Variance1.012445
MonotonicityNot monotonic
2024-04-30T02:25:42.450137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9332
93.3%
1 388
 
3.9%
2 94
 
0.9%
3 53
 
0.5%
4 29
 
0.3%
5 25
 
0.2%
6 20
 
0.2%
7 12
 
0.1%
11 9
 
0.1%
12 9
 
0.1%
Other values (10) 29
 
0.3%
ValueCountFrequency (%)
0 9332
93.3%
1 388
 
3.9%
2 94
 
0.9%
3 53
 
0.5%
4 29
 
0.3%
5 25
 
0.2%
6 20
 
0.2%
7 12
 
0.1%
8 7
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
23 1
 
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
15 4
< 0.1%
14 2
 
< 0.1%
13 1
 
< 0.1%
12 9
0.1%
11 9
0.1%
10 5
0.1%

부속_건축물_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct513
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.68743
Minimum0
Maximum181747.37
Zeros9349
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:42.547699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.792
Maximum181747.37
Range181747.37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3683.5727
Coefficient of variation (CV)15.830561
Kurtosis976.76488
Mean232.68743
Median Absolute Deviation (MAD)0
Skewness27.463074
Sum2326874.3
Variance13568707
MonotonicityNot monotonic
2024-04-30T02:25:42.666940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9349
93.5%
3.31 11
 
0.1%
1.44 9
 
0.1%
1.0 8
 
0.1%
0.99 8
 
0.1%
260.14 7
 
0.1%
9.92 6
 
0.1%
13.22 5
 
0.1%
2.25 5
 
0.1%
1.42 5
 
0.1%
Other values (503) 587
 
5.9%
ValueCountFrequency (%)
0.0 9349
93.5%
0.33 1
 
< 0.1%
0.65 2
 
< 0.1%
0.9 3
 
< 0.1%
0.99 8
 
0.1%
1.0 8
 
0.1%
1.05 1
 
< 0.1%
1.08 1
 
< 0.1%
1.09 2
 
< 0.1%
1.1 1
 
< 0.1%
ValueCountFrequency (%)
181747.37 1
< 0.1%
119644.6315 1
< 0.1%
116415.962 1
< 0.1%
109485.1523 1
< 0.1%
83401.0345 1
< 0.1%
76435.78 1
< 0.1%
66366.22 1
< 0.1%
64903.6 1
< 0.1%
61460.18 1
< 0.1%
59020.935 1
< 0.1%

세대_수
Real number (ℝ)

SKEWED  ZEROS 

Distinct211
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.7479
Minimum0
Maximum6601
Zeros9053
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:42.784793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum6601
Range6601
Interquartile range (IQR)0

Descriptive statistics

Standard deviation114.84958
Coefficient of variation (CV)10.68577
Kurtosis1295.7368
Mean10.7479
Median Absolute Deviation (MAD)0
Skewness29.032201
Sum107479
Variance13190.427
MonotonicityNot monotonic
2024-04-30T02:25:42.904532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9053
90.5%
2 123
 
1.2%
12 80
 
0.8%
16 51
 
0.5%
18 50
 
0.5%
8 47
 
0.5%
24 31
 
0.3%
20 25
 
0.2%
10 20
 
0.2%
4 20
 
0.2%
Other values (201) 500
 
5.0%
ValueCountFrequency (%)
0 9053
90.5%
1 19
 
0.2%
2 123
 
1.2%
3 14
 
0.1%
4 20
 
0.2%
5 6
 
0.1%
6 19
 
0.2%
7 6
 
0.1%
8 47
 
0.5%
9 16
 
0.2%
ValueCountFrequency (%)
6601 1
< 0.1%
3696 1
< 0.1%
2841 1
< 0.1%
2388 1
< 0.1%
2070 1
< 0.1%
1810 1
< 0.1%
1670 1
< 0.1%
1610 1
< 0.1%
1580 1
< 0.1%
1561 1
< 0.1%

가구_수
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8104
Minimum0
Maximum107
Zeros7018
Zeros (%)70.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:43.017470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum107
Range107
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.4633024
Coefficient of variation (CV)3.039613
Kurtosis506.39805
Mean0.8104
Median Absolute Deviation (MAD)0
Skewness16.351941
Sum8104
Variance6.0678586
MonotonicityNot monotonic
2024-04-30T02:25:43.127483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 7018
70.2%
2 1568
 
15.7%
1 730
 
7.3%
3 249
 
2.5%
4 127
 
1.3%
6 76
 
0.8%
5 66
 
0.7%
7 40
 
0.4%
8 25
 
0.2%
13 17
 
0.2%
Other values (24) 84
 
0.8%
ValueCountFrequency (%)
0 7018
70.2%
1 730
 
7.3%
2 1568
 
15.7%
3 249
 
2.5%
4 127
 
1.3%
5 66
 
0.7%
6 76
 
0.8%
7 40
 
0.4%
8 25
 
0.2%
9 14
 
0.1%
ValueCountFrequency (%)
107 1
< 0.1%
73 1
< 0.1%
64 1
< 0.1%
44 2
< 0.1%
40 1
< 0.1%
35 1
< 0.1%
33 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 2
< 0.1%

총_주차_수
Real number (ℝ)

SKEWED  ZEROS 

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2005
Minimum0
Maximum4900
Zeros9276
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:43.250753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum4900
Range4900
Interquartile range (IQR)0

Descriptive statistics

Standard deviation96.74039
Coefficient of variation (CV)11.796889
Kurtosis885.55917
Mean8.2005
Median Absolute Deviation (MAD)0
Skewness24.850765
Sum82005
Variance9358.703
MonotonicityNot monotonic
2024-04-30T02:25:43.379044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9276
92.8%
2 63
 
0.6%
4 47
 
0.5%
3 44
 
0.4%
1 39
 
0.4%
5 38
 
0.4%
8 31
 
0.3%
6 22
 
0.2%
10 20
 
0.2%
16 17
 
0.2%
Other values (186) 403
 
4.0%
ValueCountFrequency (%)
0 9276
92.8%
1 39
 
0.4%
2 63
 
0.6%
3 44
 
0.4%
4 47
 
0.5%
5 38
 
0.4%
6 22
 
0.2%
7 13
 
0.1%
8 31
 
0.3%
9 10
 
0.1%
ValueCountFrequency (%)
4900 1
< 0.1%
2820 1
< 0.1%
2459 1
< 0.1%
2080 1
< 0.1%
1832 1
< 0.1%
1767 1
< 0.1%
1736 1
< 0.1%
1719 1
< 0.1%
1708 1
< 0.1%
1637 1
< 0.1%

옥내_자주식_대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct154
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8129
Minimum0
Maximum4894
Zeros9635
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:43.494860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4894
Range4894
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.616859
Coefficient of variation (CV)14.034678
Kurtosis964.16419
Mean6.8129
Median Absolute Deviation (MAD)0
Skewness26.49898
Sum68129
Variance9142.5838
MonotonicityNot monotonic
2024-04-30T02:25:43.602103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9635
96.4%
2 39
 
0.4%
1 33
 
0.3%
4 15
 
0.1%
6 14
 
0.1%
3 12
 
0.1%
10 10
 
0.1%
12 8
 
0.1%
13 8
 
0.1%
8 7
 
0.1%
Other values (144) 219
 
2.2%
ValueCountFrequency (%)
0 9635
96.4%
1 33
 
0.3%
2 39
 
0.4%
3 12
 
0.1%
4 15
 
0.1%
5 6
 
0.1%
6 14
 
0.1%
7 5
 
0.1%
8 7
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
4894 1
< 0.1%
2791 1
< 0.1%
2717 1
< 0.1%
2459 1
< 0.1%
2030 1
< 0.1%
1832 1
< 0.1%
1759 1
< 0.1%
1713 1
< 0.1%
1708 1
< 0.1%
1630 1
< 0.1%

옥내_자주식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct253
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.74119
Minimum0
Maximum176051.22
Zeros9719
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:43.708919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum176051.22
Range176051.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3426.7703
Coefficient of variation (CV)15.957676
Kurtosis1069.964
Mean214.74119
Median Absolute Deviation (MAD)0
Skewness28.59996
Sum2147411.9
Variance11742755
MonotonicityNot monotonic
2024-04-30T02:25:43.826478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9719
97.2%
23.0 6
 
0.1%
57.33 4
 
< 0.1%
11.5 4
 
< 0.1%
10074.33 3
 
< 0.1%
69.0 2
 
< 0.1%
1045.0 2
 
< 0.1%
31056.41 2
 
< 0.1%
298.0 2
 
< 0.1%
13.5 2
 
< 0.1%
Other values (243) 254
 
2.5%
ValueCountFrequency (%)
0.0 9719
97.2%
11.5 4
 
< 0.1%
11.96 1
 
< 0.1%
12.69 1
 
< 0.1%
13.26 1
 
< 0.1%
13.5 2
 
< 0.1%
14.31 1
 
< 0.1%
14.4 1
 
< 0.1%
14.58 1
 
< 0.1%
15.39 1
 
< 0.1%
ValueCountFrequency (%)
176051.22 1
< 0.1%
112163.373 1
< 0.1%
103864.8523 1
< 0.1%
102813.4428 1
< 0.1%
76869.5334 1
< 0.1%
72907.22 1
< 0.1%
63452.66 1
< 0.1%
61656.13 1
< 0.1%
57077.01 1
< 0.1%
52111.04 1
< 0.1%

옥외_자주식_대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5028
Minimum0
Maximum6000
Zeros9217
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:43.945276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum6000
Range6000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.498624
Coefficient of variation (CV)25.371034
Kurtosis7973.8025
Mean2.5028
Median Absolute Deviation (MAD)0
Skewness85.321864
Sum25028
Variance4032.0752
MonotonicityNot monotonic
2024-04-30T02:25:44.071035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9217
92.2%
2 119
 
1.2%
1 69
 
0.7%
3 68
 
0.7%
4 67
 
0.7%
5 44
 
0.4%
6 38
 
0.4%
8 33
 
0.3%
7 25
 
0.2%
10 24
 
0.2%
Other values (91) 296
 
3.0%
ValueCountFrequency (%)
0 9217
92.2%
1 69
 
0.7%
2 119
 
1.2%
3 68
 
0.7%
4 67
 
0.7%
5 44
 
0.4%
6 38
 
0.4%
7 25
 
0.2%
8 33
 
0.3%
9 12
 
0.1%
ValueCountFrequency (%)
6000 1
< 0.1%
944 1
< 0.1%
937 1
< 0.1%
734 1
< 0.1%
600 1
< 0.1%
437 1
< 0.1%
411 1
< 0.1%
406 1
< 0.1%
311 1
< 0.1%
300 1
< 0.1%

옥외_자주식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.752739
Minimum0
Maximum8703
Zeros9566
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:44.202185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8703
Range8703
Interquartile range (IQR)0

Descriptive statistics

Standard deviation124.82842
Coefficient of variation (CV)14.261641
Kurtosis2775.3079
Mean8.752739
Median Absolute Deviation (MAD)0
Skewness46.105878
Sum87527.39
Variance15582.135
MonotonicityNot monotonic
2024-04-30T02:25:44.328811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9566
95.7%
23.0 57
 
0.6%
11.5 36
 
0.4%
46.0 29
 
0.3%
34.5 27
 
0.3%
57.5 22
 
0.2%
69.0 16
 
0.2%
92.0 13
 
0.1%
80.5 9
 
0.1%
115.0 7
 
0.1%
Other values (152) 218
 
2.2%
ValueCountFrequency (%)
0.0 9566
95.7%
2.3 1
 
< 0.1%
11.5 36
 
0.4%
12.0 5
 
0.1%
13.75 1
 
< 0.1%
13.8 1
 
< 0.1%
15.0 1
 
< 0.1%
18.0 1
 
< 0.1%
18.5 1
 
< 0.1%
23.0 57
 
0.6%
ValueCountFrequency (%)
8703.0 1
< 0.1%
5138.0 1
< 0.1%
4158.0 1
< 0.1%
1781.0 1
< 0.1%
1561.49 1
< 0.1%
1518.5 1
< 0.1%
1276.9 2
< 0.1%
1155.5 1
< 0.1%
1039.1 1
< 0.1%
1035.0 1
< 0.1%

옥내_기계식_대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0442
Minimum0
Maximum39
Zeros9976
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:44.429537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.013681
Coefficient of variation (CV)22.933959
Kurtosis747.77915
Mean0.0442
Median Absolute Deviation (MAD)0
Skewness26.209563
Sum442
Variance1.0275491
MonotonicityNot monotonic
2024-04-30T02:25:44.530023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 9976
99.8%
20 6
 
0.1%
8 3
 
< 0.1%
4 2
 
< 0.1%
32 2
 
< 0.1%
11 2
 
< 0.1%
30 2
 
< 0.1%
7 1
 
< 0.1%
24 1
 
< 0.1%
39 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 9976
99.8%
4 2
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
11 2
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
20 6
 
0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
ValueCountFrequency (%)
39 1
 
< 0.1%
32 2
 
< 0.1%
30 2
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
20 6
0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
11 2
 
< 0.1%

옥내_기계식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.420394
Minimum0
Maximum553.6
Zeros9981
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:44.625422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum553.6
Range553.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.52294
Coefficient of variation (CV)27.409858
Kurtosis1233.0989
Mean0.420394
Median Absolute Deviation (MAD)0
Skewness33.15837
Sum4203.94
Variance132.77814
MonotonicityNot monotonic
2024-04-30T02:25:44.708465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 9981
99.8%
282.95 3
 
< 0.1%
126.5 2
 
< 0.1%
157.68 2
 
< 0.1%
54.72 1
 
< 0.1%
440.53 1
 
< 0.1%
38.5 1
 
< 0.1%
553.6 1
 
< 0.1%
160.07 1
 
< 0.1%
300.27 1
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0.0 9981
99.8%
10.99 1
 
< 0.1%
38.5 1
 
< 0.1%
54.72 1
 
< 0.1%
114.73 1
 
< 0.1%
118.08 1
 
< 0.1%
126.5 2
 
< 0.1%
157.68 2
 
< 0.1%
160.07 1
 
< 0.1%
218.0 1
 
< 0.1%
ValueCountFrequency (%)
553.6 1
 
< 0.1%
458.98 1
 
< 0.1%
440.53 1
 
< 0.1%
318.26 1
 
< 0.1%
300.27 1
 
< 0.1%
282.95 3
< 0.1%
218.0 1
 
< 0.1%
160.07 1
 
< 0.1%
157.68 2
< 0.1%
126.5 2
< 0.1%

옥외_기계식_대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0491
Minimum0
Maximum64
Zeros9973
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:44.799171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2548493
Coefficient of variation (CV)25.557011
Kurtosis1393.4936
Mean0.0491
Median Absolute Deviation (MAD)0
Skewness34.601265
Sum491
Variance1.5746467
MonotonicityNot monotonic
2024-04-30T02:25:44.890726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 9973
99.7%
8 7
 
0.1%
7 3
 
< 0.1%
28 3
 
< 0.1%
34 2
 
< 0.1%
2 2
 
< 0.1%
10 2
 
< 0.1%
64 1
 
< 0.1%
14 1
 
< 0.1%
22 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 9973
99.7%
2 2
 
< 0.1%
6 1
 
< 0.1%
7 3
 
< 0.1%
8 7
 
0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
14 1
 
< 0.1%
22 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
64 1
 
< 0.1%
57 1
 
< 0.1%
38 1
 
< 0.1%
34 2
< 0.1%
28 3
< 0.1%
26 1
 
< 0.1%
22 1
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 2
< 0.1%

옥외_기계식_면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.174039
Minimum0
Maximum29705
Zeros9983
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:44.982369image/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 deviation297.14429
Coefficient of variation (CV)93.61709
Kurtosis9987.036
Mean3.174039
Median Absolute Deviation (MAD)0
Skewness99.903517
Sum31740.39
Variance88294.731
MonotonicityNot monotonic
2024-04-30T02:25:45.067616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 9983
99.8%
376.87 3
 
< 0.1%
36.72 1
 
< 0.1%
39.69 1
 
< 0.1%
29.07 1
 
< 0.1%
115.0 1
 
< 0.1%
38.18 1
 
< 0.1%
33.28 1
 
< 0.1%
28.52 1
 
< 0.1%
49.83 1
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0.0 9983
99.8%
13.75 1
 
< 0.1%
28.52 1
 
< 0.1%
29.07 1
 
< 0.1%
33.28 1
 
< 0.1%
36.72 1
 
< 0.1%
38.18 1
 
< 0.1%
39.69 1
 
< 0.1%
42.74 1
 
< 0.1%
43.0 1
 
< 0.1%
ValueCountFrequency (%)
29705.0 1
 
< 0.1%
376.87 3
< 0.1%
330.0 1
 
< 0.1%
115.0 1
 
< 0.1%
105.0 1
 
< 0.1%
49.83 1
 
< 0.1%
43.0 1
 
< 0.1%
42.74 1
 
< 0.1%
39.69 1
 
< 0.1%
38.18 1
 
< 0.1%

허가_일
Real number (ℝ)

MISSING 

Distinct551
Distinct (%)86.5%
Missing9363
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean19987675
Minimum19810120
Maximum20220720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:45.181925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810120
5-th percentile19850926
Q119900613
median19960222
Q320060817
95-th percentile20170829
Maximum20220720
Range410600
Interquartile range (IQR)160204

Descriptive statistics

Standard deviation102097.35
Coefficient of variation (CV)0.0051080152
Kurtosis-0.91097523
Mean19987675
Median Absolute Deviation (MAD)69605
Skewness0.49904753
Sum1.2732149 × 1010
Variance1.0423869 × 1010
MonotonicityNot monotonic
2024-04-30T02:25:45.337842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101230 5
 
0.1%
20051230 5
 
0.1%
20101231 4
 
< 0.1%
20030630 4
 
< 0.1%
19900727 4
 
< 0.1%
19890330 3
 
< 0.1%
20070605 3
 
< 0.1%
19890506 3
 
< 0.1%
19921228 3
 
< 0.1%
20010928 3
 
< 0.1%
Other values (541) 600
 
6.0%
(Missing) 9363
93.6%
ValueCountFrequency (%)
19810120 1
< 0.1%
19810730 1
< 0.1%
19830223 1
< 0.1%
19830308 1
< 0.1%
19830408 1
< 0.1%
19830601 1
< 0.1%
19830825 1
< 0.1%
19830912 2
< 0.1%
19831101 1
< 0.1%
19840130 1
< 0.1%
ValueCountFrequency (%)
20220720 1
< 0.1%
20220420 1
< 0.1%
20220315 1
< 0.1%
20210930 1
< 0.1%
20210812 1
< 0.1%
20210709 1
< 0.1%
20210624 1
< 0.1%
20210521 1
< 0.1%
20210224 1
< 0.1%
20210222 1
< 0.1%

착공_일
Real number (ℝ)

MISSING 

Distinct362
Distinct (%)92.1%
Missing9607
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean19843423
Minimum199206
Maximum20230322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:45.656231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199206
5-th percentile19920614
Q119950722
median20031230
Q320120915
95-th percentile20190327
Maximum20230322
Range20031116
Interquartile range (IQR)170193

Descriptive statistics

Standard deviation1996521.7
Coefficient of variation (CV)0.10061377
Kurtosis94.077311
Mean19843423
Median Absolute Deviation (MAD)88882
Skewness-9.7670825
Sum7.7984652 × 109
Variance3.9860987 × 1012
MonotonicityNot monotonic
2024-04-30T02:25:45.786968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111021 3
 
< 0.1%
20010901 3
 
< 0.1%
20161128 2
 
< 0.1%
20141201 2
 
< 0.1%
20051019 2
 
< 0.1%
20081215 2
 
< 0.1%
19960326 2
 
< 0.1%
20110826 2
 
< 0.1%
20150708 2
 
< 0.1%
20131216 2
 
< 0.1%
Other values (352) 371
 
3.7%
(Missing) 9607
96.1%
ValueCountFrequency (%)
199206 1
< 0.1%
199703 2
< 0.1%
200209 1
< 0.1%
19810210 1
< 0.1%
19870604 1
< 0.1%
19880204 1
< 0.1%
19890818 1
< 0.1%
19900728 1
< 0.1%
19900824 1
< 0.1%
19910524 2
< 0.1%
ValueCountFrequency (%)
20230322 1
< 0.1%
20220509 1
< 0.1%
20220331 1
< 0.1%
20220128 1
< 0.1%
20211020 1
< 0.1%
20210831 1
< 0.1%
20210827 1
< 0.1%
20210720 1
< 0.1%
20210423 1
< 0.1%
20210413 1
< 0.1%

사용승인_일
Real number (ℝ)

MISSING 

Distinct1383
Distinct (%)85.6%
Missing8384
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean19728278
Minimum199512
Maximum20231229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T02:25:45.911649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199512
5-th percentile19650626
Q119720717
median19790118
Q319930910
95-th percentile20150934
Maximum20231229
Range20031717
Interquartile range (IQR)210192.75

Descriptive statistics

Standard deviation1478073.7
Coefficient of variation (CV)0.074921575
Kurtosis162.7756
Mean19728278
Median Absolute Deviation (MAD)99704.5
Skewness-12.705009
Sum3.1880897 × 1010
Variance2.1847018 × 1012
MonotonicityNot monotonic
2024-04-30T02:25:46.030546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19850629 17
 
0.2%
19631124 14
 
0.1%
19721130 5
 
0.1%
19681127 4
 
< 0.1%
19700528 4
 
< 0.1%
19731129 4
 
< 0.1%
19850628 4
 
< 0.1%
19731025 4
 
< 0.1%
19901218 4
 
< 0.1%
19740919 4
 
< 0.1%
Other values (1373) 1552
 
15.5%
(Missing) 8384
83.8%
ValueCountFrequency (%)
199512 1
< 0.1%
199703 1
< 0.1%
199710 1
< 0.1%
199911 2
< 0.1%
200108 1
< 0.1%
200305 2
< 0.1%
1970060 1
< 0.1%
9671228 1
< 0.1%
19070917 1
< 0.1%
19280110 1
< 0.1%
ValueCountFrequency (%)
20231229 1
< 0.1%
20230918 1
< 0.1%
20230728 1
< 0.1%
20230410 1
< 0.1%
20230215 1
< 0.1%
20230113 1
< 0.1%
20220906 1
< 0.1%
20220905 1
< 0.1%
20220805 1
< 0.1%
20220527 2
< 0.1%

Sample

관리_폐쇄말소대장_PK신_구_대장_구분_코드양성화_여부대지_면적건축_면적건폐_율연면적용적_율_산정_연면적용적_율주_건축물_수부속_건축물_수부속_건축물_면적세대_수가구_수총_주차_수옥내_자주식_대수옥내_자주식_면적옥외_자주식_대수옥외_자주식_면적옥내_기계식_대수옥내_기계식_면적옥외_기계식_대수옥외_기계식_면적허가_일착공_일사용승인_일
2547311440-100724759구대장00.0144.360.0426.58282.220.0200.001000.000.000.000.0<NA><NA><NA>
1366611200-100060243신대장00.00.00.0244.790.00.0000.006000.000.000.000.0<NA><NA><NA>
1027911380-2628신대장00.00.00.0116.820.00.0100.000000.000.000.000.0<NA><NA><NA>
832211500-433신대장<NA>0.00.00.00.00.00.0000.000000.000.000.000.0<NA><NA><NA>
72911500-100118007신대장00.0181.450.0411.09274.580.0200.002000.000.000.000.0<NA><NA><NA>
674011380-3513신대장015348.03036.819.798537.698537.6955.631200.0004500.0450.000.000.0<NA><NA><NA>
546611380-1023신대장00.00.00.0164.630.00.0100.000000.000.000.000.0<NA><NA>19750530
709011740-58구대장00.00.00.0188.880.00.0200.002000.000.000.000.0<NA><NA><NA>
2477411530-1000000000000001848203신대장0792.0393.0349.62706.68706.6889.22300.000300.0334.500.000.0201402142014021720140312
2064211560-100524752구대장0217.2107.2449.37157.49157.4972.51200.000000.000.000.000.0<NA><NA><NA>
관리_폐쇄말소대장_PK신_구_대장_구분_코드양성화_여부대지_면적건축_면적건폐_율연면적용적_율_산정_연면적용적_율주_건축물_수부속_건축물_수부속_건축물_면적세대_수가구_수총_주차_수옥내_자주식_대수옥내_자주식_면적옥외_자주식_대수옥외_자주식_면적옥내_기계식_대수옥내_기계식_면적옥외_기계식_대수옥외_기계식_면적허가_일착공_일사용승인_일
722311590-25신대장<NA>0.00.00.00.00.00.0000.000000.000.000.000.0<NA><NA><NA>
18811110-254신대장00.00.00.0295.640.00.0200.001000.000.000.000.0<NA><NA><NA>
1169711380-423신대장0164.210.00.0241.560.00.0100.000000.000.000.000.019840712<NA>19851111
617911380-255신대장00.00.00.0198.720.00.0100.000000.000.000.000.019900907<NA>19901228
306911200-301신대장<NA>0.00.00.00.00.00.0000.000000.000.000.000.0<NA><NA><NA>
1768611590-100036146신대장00.00.00.0294.880.00.0300.000000.000.000.000.0<NA><NA>19680929
169611260-100026606구대장00.00.00.0412.680.00.0000.006000.000.000.000.0<NA><NA>20041206
1433411170-100069439신대장00.00.00.00.00.00.0000.000000.000.000.000.0<NA><NA><NA>
842411620-162신대장00.00.00.0326.50.00.0000.000000.000.000.000.0<NA><NA><NA>
1605511170-100069006신대장00.00.00.00.00.00.0000.000000.000.000.000.0<NA><NA><NA>