Overview

Dataset statistics

Number of variables27
Number of observations7790
Missing cells44882
Missing cells (%)21.3%
Duplicate rows11
Duplicate rows (%)0.1%
Total size in memory1.7 MiB
Average record size in memory231.0 B

Variable types

Categorical6
Text2
Numeric15
DateTime4

Dataset

Description이 데이터는 서울특별시 강남구 건축허가 현황입니다. 이 데이터에는 건축구분,대지위치, 연면적,건축면적, 허가일, 착공처리일, 사용승인일, 주용도, 세대수 등이 포함되어 있습니다.
Author서울특별시 강남구
URLhttps://www.data.go.kr/data/15127534/fileData.do

Alerts

Dataset has 11 (0.1%) duplicate rowsDuplicates
구조 is highly imbalanced (68.5%)Imbalance
용도지구 is highly imbalanced (63.1%)Imbalance
용도구역 is highly imbalanced (67.3%)Imbalance
증축연면적(제곱미터) has 7319 (94.0%) missing valuesMissing
최종설계변경일 has 6840 (87.8%) missing valuesMissing
착공처리일 has 3813 (48.9%) missing valuesMissing
사용승인일 has 3419 (43.9%) missing valuesMissing
최대지하층수 has 282 (3.6%) missing valuesMissing
승강기합 has 1242 (15.9%) missing valuesMissing
부속용도 has 1742 (22.4%) missing valuesMissing
총주차대수 has 472 (6.1%) missing valuesMissing
세대수 has 6434 (82.6%) missing valuesMissing
호수 has 6761 (86.8%) missing valuesMissing
가구수 has 6512 (83.6%) missing valuesMissing
건축면적(제곱미터) is highly skewed (γ1 = 79.54775942)Skewed
연면적(제곱미터) is highly skewed (γ1 = 87.78988563)Skewed
건폐율(백분율) is highly skewed (γ1 = 62.22817798)Skewed
용적률(백분율) is highly skewed (γ1 = 84.56418802)Skewed
최고높이(미터) is highly skewed (γ1 = 48.74641884)Skewed
동수 is highly skewed (γ1 = 43.93571798)Skewed
총주차대수 is highly skewed (γ1 = 67.68114688)Skewed
가구수 is highly skewed (γ1 = 22.87230361)Skewed
최대지하층수 has 760 (9.8%) zerosZeros
최고높이(미터) has 249 (3.2%) zerosZeros
동수 has 187 (2.4%) zerosZeros
승강기합 has 1465 (18.8%) zerosZeros
총주차대수 has 103 (1.3%) zerosZeros
세대수 has 206 (2.6%) zerosZeros
호수 has 126 (1.6%) zerosZeros
가구수 has 193 (2.5%) zerosZeros

Reproduction

Analysis started2024-04-13 13:03:49.725705
Analysis finished2024-04-13 13:03:51.701653
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
용도변경
3284 
신축
2933 
대수선
1073 
증축
481 
개축
 
13

Length

Max length9
Median length4
Mean length2.9862644
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대수선
2nd row용도변경
3rd row신축
4th row용도변경
5th row신축

Common Values

ValueCountFrequency (%)
용도변경 3284
42.2%
신축 2933
37.7%
대수선 1073
 
13.8%
증축 481
 
6.2%
개축 13
 
0.2%
가설건축물축조허가 6
 
0.1%

Length

2024-04-13T22:03:51.942704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:03:52.265810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용도변경 3284
42.2%
신축 2933
37.7%
대수선 1073
 
13.8%
증축 481
 
6.2%
개축 13
 
0.2%
가설건축물축조허가 6
 
0.1%

대지위치
Text

Distinct5817
Distinct (%)74.7%
Missing1
Missing (%)< 0.1%
Memory size61.0 KiB
2024-04-13T22:03:53.577625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length20.107716
Min length15

Characters and Unicode

Total characters156619
Distinct characters81
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4531 ?
Unique (%)58.2%

Sample

1st row서울특별시 강남구 역삼동 652-8
2nd row서울특별시 강남구 역삼동 648
3rd row서울특별시 강남구 신사동 664-3
4th row서울특별시 강남구 논현동 234
5th row서울특별시 강남구 청담동 16-16
ValueCountFrequency (%)
서울특별시 7789
23.9%
강남구 7789
23.9%
역삼동 1922
 
5.9%
논현동 1639
 
5.0%
신사동 933
 
2.9%
외1필지 729
 
2.2%
삼성동 726
 
2.2%
대치동 701
 
2.1%
청담동 652
 
2.0%
개포동 270
 
0.8%
Other values (5332) 9462
29.0%
2024-04-13T22:03:55.162245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24831
15.9%
구 7953
 
5.1%
서 7892
 
5.0%
울 7799
 
5.0%
시 7797
 
5.0%
동 7791
 
5.0%
특 7789
 
5.0%
별 7789
 
5.0%
강 7789
 
5.0%
남 7789
 
5.0%
Other values (71) 61400
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90820
58.0%
Decimal Number 34097
 
21.8%
Space Separator 24831
 
15.9%
Dash Punctuation 6865
 
4.4%
Uppercase Letter 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7953
8.8%
서 7892
8.7%
울 7799
8.6%
시 7797
8.6%
동 7791
8.6%
특 7789
8.6%
별 7789
8.6%
강 7789
8.6%
남 7789
8.6%
삼 2648
 
2.9%
Other values (56) 17784
19.6%
Decimal Number
ValueCountFrequency (%)
1 7052
20.7%
2 4655
13.7%
6 3602
10.6%
3 3050
8.9%
5 3042
8.9%
7 2900
8.5%
4 2871
8.4%
9 2517
 
7.4%
8 2483
 
7.3%
0 1925
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
L 1
 
20.0%
Space Separator
ValueCountFrequency (%)
24831
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6865
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90820
58.0%
Common 65794
42.0%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7953
8.8%
서 7892
8.7%
울 7799
8.6%
시 7797
8.6%
동 7791
8.6%
특 7789
8.6%
별 7789
8.6%
강 7789
8.6%
남 7789
8.6%
삼 2648
 
2.9%
Other values (56) 17784
19.6%
Common
ValueCountFrequency (%)
24831
37.7%
1 7052
 
10.7%
- 6865
 
10.4%
2 4655
 
7.1%
6 3602
 
5.5%
3 3050
 
4.6%
5 3042
 
4.6%
7 2900
 
4.4%
4 2871
 
4.4%
9 2517
 
3.8%
Other values (3) 4409
 
6.7%
Latin
ValueCountFrequency (%)
B 4
80.0%
L 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90820
58.0%
ASCII 65799
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24831
37.7%
1 7052
 
10.7%
- 6865
 
10.4%
2 4655
 
7.1%
6 3602
 
5.5%
3 3050
 
4.6%
5 3042
 
4.6%
7 2900
 
4.4%
4 2871
 
4.4%
9 2517
 
3.8%
Other values (5) 4414
 
6.7%
Hangul
ValueCountFrequency (%)
구 7953
8.8%
서 7892
8.7%
울 7799
8.6%
시 7797
8.6%
동 7791
8.6%
특 7789
8.6%
별 7789
8.6%
강 7789
8.6%
남 7789
8.6%
삼 2648
 
2.9%
Other values (56) 17784
19.6%

대지면적(제곱미터)
Real number (ℝ)

Distinct3871
Distinct (%)49.7%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1667.8425
Minimum23.47
Maximum392671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:03:55.411217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.47
5-th percentile174.825
Q1239.825
median350.8
Q3683.8
95-th percentile2804.9
Maximum392671
Range392647.53
Interquartile range (IQR)443.975

Descriptive statistics

Standard deviation13518.022
Coefficient of variation (CV)8.1050952
Kurtosis459.49586
Mean1667.8425
Median Absolute Deviation (MAD)145.2
Skewness19.453941
Sum12985822
Variance1.8273693 × 108
MonotonicityNot monotonic
2024-04-13T22:03:55.670728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265.0 29
 
0.4%
165.0 20
 
0.3%
148784.0 20
 
0.3%
1982.6 15
 
0.2%
1145.1 14
 
0.2%
255.5 13
 
0.2%
203.8 13
 
0.2%
3372.0 12
 
0.2%
997.4 11
 
0.1%
258.3 11
 
0.1%
Other values (3861) 7628
97.9%
ValueCountFrequency (%)
23.47 1
< 0.1%
26.0 1
< 0.1%
48.68 1
< 0.1%
63.0 1
< 0.1%
63.1 1
< 0.1%
64.0 1
< 0.1%
65.5 1
< 0.1%
65.7 1
< 0.1%
66.6 1
< 0.1%
67.2 1
< 0.1%
ValueCountFrequency (%)
392671.0 4
 
0.1%
329671.0 1
 
< 0.1%
207904.0 1
 
< 0.1%
153747.0 7
 
0.1%
148784.0 20
0.3%
79341.8 1
 
< 0.1%
66230.3 4
 
0.1%
63778.0 1
 
< 0.1%
52143.5 1
 
< 0.1%
48727.0 1
 
< 0.1%

건축면적(제곱미터)
Real number (ℝ)

SKEWED 

Distinct5532
Distinct (%)71.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean743.77459
Minimum0
Maximum1208075
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:03:55.936569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile91.1
Q1130.65
median185.085
Q3356.9475
95-th percentile1386.17
Maximum1208075
Range1208075
Interquartile range (IQR)226.2975

Descriptive statistics

Standard deviation14186.964
Coefficient of variation (CV)19.074279
Kurtosis6740.0865
Mean743.77459
Median Absolute Deviation (MAD)72.655
Skewness79.547759
Sum5792516.5
Variance2.0126995 × 108
MonotonicityNot monotonic
2024-04-13T22:03:56.200237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1216.0 15
 
0.2%
648.41 12
 
0.2%
1681.71 12
 
0.2%
459.69 10
 
0.1%
154.58 9
 
0.1%
564.52 9
 
0.1%
1571.5 9
 
0.1%
88331.32 9
 
0.1%
501.96 9
 
0.1%
310.84 9
 
0.1%
Other values (5522) 7685
98.7%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
8.81 1
 
< 0.1%
10.56 1
 
< 0.1%
11.45 1
 
< 0.1%
13.36 1
 
< 0.1%
13.68 1
 
< 0.1%
28.76 1
 
< 0.1%
37.24 3
< 0.1%
37.82 1
 
< 0.1%
38.19 1
 
< 0.1%
ValueCountFrequency (%)
1208075.0 1
 
< 0.1%
88337.72 3
 
< 0.1%
88331.32 9
0.1%
35250.01 2
 
< 0.1%
32036.57 2
 
< 0.1%
30654.4 2
 
< 0.1%
29400.83 1
 
< 0.1%
29160.04 1
 
< 0.1%
29029.64 1
 
< 0.1%
29023.36 1
 
< 0.1%

연면적(제곱미터)
Real number (ℝ)

SKEWED 

Distinct6212
Distinct (%)79.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34050.572
Minimum3.55
Maximum2.0061437 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:03:56.626298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.55
5-th percentile261.619
Q1516.105
median925.535
Q32998.99
95-th percentile19958.83
Maximum2.0061437 × 108
Range2.0061437 × 108
Interquartile range (IQR)2482.885

Descriptive statistics

Standard deviation2277265.6
Coefficient of variation (CV)66.878923
Kurtosis7732.1252
Mean34050.572
Median Absolute Deviation (MAD)566.87
Skewness87.789886
Sum2.6518586 × 108
Variance5.1859387 × 1012
MonotonicityNot monotonic
2024-04-13T22:03:57.042974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29302.9 15
 
0.2%
12798.53 12
 
0.2%
18757.3 12
 
0.2%
10671.46 10
 
0.1%
973087.39 10
 
0.1%
23921.76 9
 
0.1%
9523.01 9
 
0.1%
10410.25 9
 
0.1%
5097.13 9
 
0.1%
4999.8 9
 
0.1%
Other values (6202) 7684
98.6%
ValueCountFrequency (%)
3.55 1
< 0.1%
11.08 1
< 0.1%
16.32 1
< 0.1%
23.98 1
< 0.1%
38.77 1
< 0.1%
40.67 1
< 0.1%
40.75 1
< 0.1%
46.8 1
< 0.1%
61.32 1
< 0.1%
66.71 1
< 0.1%
ValueCountFrequency (%)
200614369.0 1
 
< 0.1%
11378650.0 1
 
< 0.1%
1325053.0 1
 
< 0.1%
973087.39 10
0.1%
972976.0 2
 
< 0.1%
533397.0 1
 
< 0.1%
354402.86 1
 
< 0.1%
354364.64 1
 
< 0.1%
351150.54 1
 
< 0.1%
343485.89 1
 
< 0.1%

증축연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct463
Distinct (%)98.3%
Missing7319
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1029.9144
Minimum-7543.22
Maximum99707.02
Zeros6
Zeros (%)0.1%
Negative35
Negative (%)0.4%
Memory size68.6 KiB
2024-04-13T22:03:57.314145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7543.22
5-th percentile-22.06
Q144.47
median149.09
Q3498.97
95-th percentile3783.96
Maximum99707.02
Range107250.24
Interquartile range (IQR)454.5

Descriptive statistics

Standard deviation5521.3845
Coefficient of variation (CV)5.3610133
Kurtosis234.72687
Mean1029.9144
Median Absolute Deviation (MAD)139.18
Skewness14.219735
Sum485089.66
Variance30485687
MonotonicityNot monotonic
2024-04-13T22:03:57.563017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
0.1%
199.34 2
 
< 0.1%
1013.1 2
 
< 0.1%
105.6 2
 
< 0.1%
402.0 1
 
< 0.1%
-3.1 1
 
< 0.1%
200.71 1
 
< 0.1%
273.44 1
 
< 0.1%
86.4 1
 
< 0.1%
293.58 1
 
< 0.1%
Other values (453) 453
 
5.8%
(Missing) 7319
94.0%
ValueCountFrequency (%)
-7543.22 1
< 0.1%
-1230.73 1
< 0.1%
-1025.89 1
< 0.1%
-386.74 1
< 0.1%
-267.52 1
< 0.1%
-258.48 1
< 0.1%
-182.21 1
< 0.1%
-132.2 1
< 0.1%
-129.96 1
< 0.1%
-106.49 1
< 0.1%
ValueCountFrequency (%)
99707.02 1
< 0.1%
53285.02 1
< 0.1%
20743.03 1
< 0.1%
15154.59 1
< 0.1%
13888.55 1
< 0.1%
10941.29 1
< 0.1%
10736.28 1
< 0.1%
9570.97 1
< 0.1%
9408.45 1
< 0.1%
9232.29 1
< 0.1%

건폐율(백분율)
Real number (ℝ)

SKEWED 

Distinct3814
Distinct (%)49.0%
Missing9
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean54.190794
Minimum0
Maximum5959.2
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:03:57.802119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.2181
Q149.37
median54.14
Q359.3688
95-th percentile59.96
Maximum5959.2
Range5959.2
Interquartile range (IQR)9.9988

Descriptive statistics

Standard deviation87.479861
Coefficient of variation (CV)1.6142937
Kurtosis3940.7017
Mean54.190794
Median Absolute Deviation (MAD)5.05
Skewness62.228178
Sum421658.57
Variance7652.726
MonotonicityNot monotonic
2024-04-13T22:03:58.042135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.98 48
 
0.6%
59.97 43
 
0.6%
59.96 41
 
0.5%
59.93 41
 
0.5%
59.99 39
 
0.5%
59.94 38
 
0.5%
59.95 35
 
0.4%
49.98 33
 
0.4%
49.99 32
 
0.4%
49.96 31
 
0.4%
Other values (3804) 7400
95.0%
ValueCountFrequency (%)
0.0 2
< 0.1%
0.08 1
< 0.1%
0.3456 1
< 0.1%
0.4986 1
< 0.1%
0.6326 1
< 0.1%
0.9953 2
< 0.1%
1.1752 1
< 0.1%
1.7358 1
< 0.1%
1.74 1
< 0.1%
1.77 2
< 0.1%
ValueCountFrequency (%)
5959.2 1
 
< 0.1%
4960.86 1
 
< 0.1%
207.8203 1
 
< 0.1%
114.1724 1
 
< 0.1%
102.5302 1
 
< 0.1%
100.0 1
 
< 0.1%
84.549 1
 
< 0.1%
83.86 3
< 0.1%
82.5345 1
 
< 0.1%
82.5147 1
 
< 0.1%

용적률(백분율)
Real number (ℝ)

SKEWED 

Distinct5895
Distinct (%)75.8%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean287.03736
Minimum0
Maximum108689.46
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:03:58.297978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74.65931
Q1166.1538
median199.98
Q3289.551
95-th percentile798.69
Maximum108689.46
Range108689.46
Interquartile range (IQR)123.3972

Descriptive statistics

Standard deviation1246.6354
Coefficient of variation (CV)4.3431122
Kurtosis7353.4013
Mean287.03736
Median Absolute Deviation (MAD)50.58
Skewness84.564188
Sum2232863.6
Variance1554099.9
MonotonicityNot monotonic
2024-04-13T22:03:58.548024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199.91 19
 
0.2%
199.88 17
 
0.2%
1127.83 15
 
0.2%
247.31 12
 
0.2%
199.98 12
 
0.2%
199.93 11
 
0.1%
199.73 11
 
0.1%
199.8 10
 
0.1%
798.81 10
 
0.1%
199.97 10
 
0.1%
Other values (5885) 7652
98.2%
(Missing) 11
 
0.1%
ValueCountFrequency (%)
0.0 2
< 0.1%
0.13 1
< 0.1%
0.3456 1
< 0.1%
0.6326 1
< 0.1%
0.81 1
< 0.1%
1.77 2
< 0.1%
2.9078 2
< 0.1%
3.4506 1
< 0.1%
3.5755 1
< 0.1%
4.79 1
< 0.1%
ValueCountFrequency (%)
108689.46 1
 
< 0.1%
2226.62 1
 
< 0.1%
1190.55 2
 
< 0.1%
1157.59 1
 
< 0.1%
1157.58 1
 
< 0.1%
1127.83 15
0.2%
1126.88 2
 
< 0.1%
1102.14 1
 
< 0.1%
1097.7 1
 
< 0.1%
1087.31 4
 
0.1%

구조
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
철근콘크리트구조
5839 
<NA>
676 
철골철근콘크리트구조
 
533
벽돌구조
 
389
일반철골구조
 
233
Other values (16)
 
120

Length

Max length12
Median length8
Mean length7.5178434
Min length3

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 5839
75.0%
<NA> 676
 
8.7%
철골철근콘크리트구조 533
 
6.8%
벽돌구조 389
 
5.0%
일반철골구조 233
 
3.0%
철골콘크리트구조 44
 
0.6%
경량철골구조 26
 
0.3%
일반목구조 15
 
0.2%
철골철근콘크리트합성구조 14
 
0.2%
기타구조 4
 
0.1%
Other values (11) 17
 
0.2%

Length

2024-04-13T22:03:58.775611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 5839
75.0%
na 676
 
8.7%
철골철근콘크리트구조 533
 
6.8%
벽돌구조 389
 
5.0%
일반철골구조 233
 
3.0%
철골콘크리트구조 44
 
0.6%
경량철골구조 26
 
0.3%
일반목구조 15
 
0.2%
철골철근콘크리트합성구조 14
 
0.2%
기타구조 4
 
0.1%
Other values (11) 17
 
0.2%

허가일
Date

Distinct2192
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
Minimum2015-01-05 00:00:00
Maximum2024-04-04 00:00:00
2024-04-13T22:03:58.986300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:03:59.221869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종설계변경일
Date

MISSING 

Distinct733
Distinct (%)77.2%
Missing6840
Missing (%)87.8%
Memory size61.0 KiB
Minimum2015-02-26 00:00:00
Maximum2024-04-03 00:00:00
2024-04-13T22:03:59.506069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:03:59.829368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공처리일
Date

MISSING 

Distinct1810
Distinct (%)45.5%
Missing3813
Missing (%)48.9%
Memory size61.0 KiB
Minimum2013-10-15 00:00:00
Maximum2024-04-03 00:00:00
2024-04-13T22:04:00.067125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:04:00.344795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일
Date

MISSING 

Distinct1886
Distinct (%)43.1%
Missing3419
Missing (%)43.9%
Memory size61.0 KiB
Minimum2015-01-07 00:00:00
Maximum2024-04-03 00:00:00
2024-04-13T22:04:00.596246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:04:00.839252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct39
Distinct (%)0.5%
Missing7
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean6.4595914
Minimum0
Maximum54
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:01.219904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q37
95-th percentile17
Maximum54
Range54
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.8710834
Coefficient of variation (CV)0.75408537
Kurtosis12.020131
Mean6.4595914
Median Absolute Deviation (MAD)1
Skewness2.7513065
Sum50275
Variance23.727453
MonotonicityNot monotonic
2024-04-13T22:04:01.898031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 1847
23.7%
6 1112
14.3%
4 1069
13.7%
2 878
11.3%
3 609
 
7.8%
7 550
 
7.1%
8 264
 
3.4%
15 192
 
2.5%
10 178
 
2.3%
9 157
 
2.0%
Other values (29) 927
11.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 95
 
1.2%
2 878
11.3%
3 609
 
7.8%
4 1069
13.7%
5 1847
23.7%
6 1112
14.3%
7 550
 
7.1%
8 264
 
3.4%
9 157
 
2.0%
ValueCountFrequency (%)
54 2
 
< 0.1%
51 1
 
< 0.1%
45 6
0.1%
41 1
 
< 0.1%
38 10
0.1%
37 1
 
< 0.1%
36 4
 
0.1%
33 2
 
< 0.1%
32 9
0.1%
31 6
0.1%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.1%
Missing282
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean1.8070059
Minimum0
Maximum9
Zeros760
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:02.104598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5789406
Coefficient of variation (CV)0.8737883
Kurtosis2.8463065
Mean1.8070059
Median Absolute Deviation (MAD)1
Skewness1.6872213
Sum13567
Variance2.4930533
MonotonicityNot monotonic
2024-04-13T22:04:02.392222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 3741
48.0%
2 1355
 
17.4%
0 760
 
9.8%
3 658
 
8.4%
4 408
 
5.2%
5 227
 
2.9%
6 204
 
2.6%
7 97
 
1.2%
8 50
 
0.6%
9 8
 
0.1%
(Missing) 282
 
3.6%
ValueCountFrequency (%)
0 760
 
9.8%
1 3741
48.0%
2 1355
 
17.4%
3 658
 
8.4%
4 408
 
5.2%
5 227
 
2.9%
6 204
 
2.6%
7 97
 
1.2%
8 50
 
0.6%
9 8
 
0.1%
ValueCountFrequency (%)
9 8
 
0.1%
8 50
 
0.6%
7 97
 
1.2%
6 204
 
2.6%
5 227
 
2.9%
4 408
 
5.2%
3 658
 
8.4%
2 1355
 
17.4%
1 3741
48.0%
0 760
 
9.8%

최고높이(미터)
Real number (ℝ)

SKEWED  ZEROS 

Distinct2000
Distinct (%)25.7%
Missing10
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean42.47234
Minimum0
Maximum46200
Zeros249
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:02.732695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q112.9
median17.9
Q327
95-th percentile71.61
Maximum46200
Range46200
Interquartile range (IQR)14.1

Descriptive statistics

Standard deviation700.37209
Coefficient of variation (CV)16.490075
Kurtosis2765.9072
Mean42.47234
Median Absolute Deviation (MAD)6.355
Skewness48.746419
Sum330434.81
Variance490521.06
MonotonicityNot monotonic
2024-04-13T22:04:02.968725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 249
 
3.2%
10.2 53
 
0.7%
7.9 49
 
0.6%
18.0 48
 
0.6%
15.0 43
 
0.6%
14.2 36
 
0.5%
17.1 35
 
0.4%
17.4 35
 
0.4%
17.0 34
 
0.4%
16.8 34
 
0.4%
Other values (1990) 7164
92.0%
ValueCountFrequency (%)
0.0 249
3.2%
0.95 1
 
< 0.1%
1.02 2
 
< 0.1%
1.03 2
 
< 0.1%
1.16 1
 
< 0.1%
1.36 1
 
< 0.1%
1.41 1
 
< 0.1%
1.45 1
 
< 0.1%
1.51 1
 
< 0.1%
1.72 3
 
< 0.1%
ValueCountFrequency (%)
46200.0 1
 
< 0.1%
22700.0 1
 
< 0.1%
22040.0 1
 
< 0.1%
17100.0 1
 
< 0.1%
13990.0 1
 
< 0.1%
10056.0 1
 
< 0.1%
9850.0 1
 
< 0.1%
227.0 2
 
< 0.1%
202.65 6
0.1%
183.48 2
 
< 0.1%

동수
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8161746
Minimum0
Maximum1419
Zeros187
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:03.165329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1419
Range1419
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.166004
Coefficient of variation (CV)17.710854
Kurtosis1933.5587
Mean1.8161746
Median Absolute Deviation (MAD)0
Skewness43.935718
Sum14148
Variance1034.6518
MonotonicityNot monotonic
2024-04-13T22:04:03.360288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 7353
94.4%
0 187
 
2.4%
2 155
 
2.0%
3 40
 
0.5%
11 8
 
0.1%
4 8
 
0.1%
9 7
 
0.1%
5 5
 
0.1%
7 5
 
0.1%
1419 4
 
0.1%
Other values (11) 18
 
0.2%
ValueCountFrequency (%)
0 187
 
2.4%
1 7353
94.4%
2 155
 
2.0%
3 40
 
0.5%
4 8
 
0.1%
5 5
 
0.1%
6 3
 
< 0.1%
7 5
 
0.1%
8 1
 
< 0.1%
9 7
 
0.1%
ValueCountFrequency (%)
1419 4
0.1%
66 3
 
< 0.1%
63 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
19 1
 
< 0.1%
14 1
 
< 0.1%
12 4
0.1%
11 8
0.1%

승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)0.5%
Missing1242
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean1.4068418
Minimum0
Maximum121
Zeros1465
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:03.577016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5387439
Coefficient of variation (CV)2.5153816
Kurtosis549.18821
Mean1.4068418
Median Absolute Deviation (MAD)0
Skewness19.211451
Sum9212
Variance12.522709
MonotonicityNot monotonic
2024-04-13T22:04:03.802926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 3821
49.1%
0 1465
 
18.8%
2 656
 
8.4%
3 266
 
3.4%
4 110
 
1.4%
6 62
 
0.8%
5 46
 
0.6%
11 16
 
0.2%
8 15
 
0.2%
12 11
 
0.1%
Other values (20) 80
 
1.0%
(Missing) 1242
 
15.9%
ValueCountFrequency (%)
0 1465
 
18.8%
1 3821
49.1%
2 656
 
8.4%
3 266
 
3.4%
4 110
 
1.4%
5 46
 
0.6%
6 62
 
0.8%
7 10
 
0.1%
8 15
 
0.2%
9 8
 
0.1%
ValueCountFrequency (%)
121 1
 
< 0.1%
119 1
 
< 0.1%
110 1
 
< 0.1%
48 4
0.1%
35 2
 
< 0.1%
29 6
0.1%
25 8
0.1%
24 4
0.1%
23 5
0.1%
22 2
 
< 0.1%

주용도
Categorical

Distinct23
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
제2종근린생활시설
2853 
업무시설
1588 
제1종근린생활시설
1109 
공동주택
908 
단독주택
735 
Other values (18)
597 

Length

Max length10
Median length9
Mean length6.6360719
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row제2종근린생활시설
2nd row업무시설
3rd row제2종근린생활시설
4th row업무시설
5th row노유자시설

Common Values

ValueCountFrequency (%)
제2종근린생활시설 2853
36.6%
업무시설 1588
20.4%
제1종근린생활시설 1109
 
14.2%
공동주택 908
 
11.7%
단독주택 735
 
9.4%
교육연구시설 177
 
2.3%
의료시설 97
 
1.2%
숙박시설 77
 
1.0%
문화및집회시설 60
 
0.8%
판매시설 52
 
0.7%
Other values (13) 134
 
1.7%

Length

2024-04-13T22:04:04.046324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 2853
36.6%
업무시설 1588
20.4%
제1종근린생활시설 1109
 
14.2%
공동주택 908
 
11.7%
단독주택 735
 
9.4%
교육연구시설 177
 
2.3%
의료시설 97
 
1.2%
숙박시설 77
 
1.0%
문화및집회시설 60
 
0.8%
판매시설 52
 
0.7%
Other values (13) 134
 
1.7%

부속용도
Text

MISSING 

Distinct1608
Distinct (%)26.6%
Missing1742
Missing (%)22.4%
Memory size61.0 KiB
2024-04-13T22:04:04.722365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length52
Mean length8.6805556
Min length2

Characters and Unicode

Total characters52500
Distinct characters255
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1241 ?
Unique (%)20.5%

Sample

1st row사무소
2nd row업무시설, 근린생활시설
3rd row휴게음식점, 사무소,의원
4th row사무실
5th row사무소
ValueCountFrequency (%)
근린생활시설 1127
 
14.5%
사무소 1076
 
13.8%
다세대주택 388
 
5.0%
다가구주택 367
 
4.7%
업무시설 293
 
3.8%
소매점 273
 
3.5%
일반음식점 229
 
2.9%
및 193
 
2.5%
제2종근린생활시설 153
 
2.0%
사무실 122
 
1.6%
Other values (1121) 3548
45.7%
2024-04-13T22:04:06.011461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4122
 
7.9%
설 3811
 
7.3%
생 2627
 
5.0%
활 2567
 
4.9%
근 2361
 
4.5%
, 2324
 
4.4%
린 2313
 
4.4%
무 2236
 
4.3%
소 1934
 
3.7%
주 1794
 
3.4%
Other values (245) 26411
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45196
86.1%
Other Punctuation 2543
 
4.8%
Space Separator 1746
 
3.3%
Decimal Number 1101
 
2.1%
Open Punctuation 904
 
1.7%
Close Punctuation 902
 
1.7%
Dash Punctuation 71
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Connector Punctuation 9
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4122
 
9.1%
설 3811
 
8.4%
생 2627
 
5.8%
활 2567
 
5.7%
근 2361
 
5.2%
린 2313
 
5.1%
무 2236
 
4.9%
소 1934
 
4.3%
주 1794
 
4.0%
사 1699
 
3.8%
Other values (210) 19732
43.7%
Decimal Number
ValueCountFrequency (%)
2 505
45.9%
1 455
41.3%
4 43
 
3.9%
3 21
 
1.9%
6 14
 
1.3%
5 14
 
1.3%
0 14
 
1.3%
9 12
 
1.1%
7 12
 
1.1%
8 11
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 2324
91.4%
/ 180
 
7.1%
. 23
 
0.9%
: 11
 
0.4%
· 2
 
0.1%
& 2
 
0.1%
; 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
t 4
33.3%
k 2
16.7%
a 2
16.7%
n 2
16.7%
h 2
16.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
P 1
33.3%
G 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 899
99.4%
[ 5
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 897
99.4%
] 5
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 9
75.0%
= 3
 
25.0%
Space Separator
ValueCountFrequency (%)
1746
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45195
86.1%
Common 7289
 
13.9%
Latin 15
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4122
 
9.1%
설 3811
 
8.4%
생 2627
 
5.8%
활 2567
 
5.7%
근 2361
 
5.2%
린 2313
 
5.1%
무 2236
 
4.9%
소 1934
 
4.3%
주 1794
 
4.0%
사 1699
 
3.8%
Other values (209) 19731
43.7%
Common
ValueCountFrequency (%)
, 2324
31.9%
1746
24.0%
( 899
 
12.3%
) 897
 
12.3%
2 505
 
6.9%
1 455
 
6.2%
/ 180
 
2.5%
- 71
 
1.0%
4 43
 
0.6%
. 23
 
0.3%
Other values (17) 146
 
2.0%
Latin
ValueCountFrequency (%)
t 4
26.7%
k 2
13.3%
a 2
13.3%
n 2
13.3%
h 2
13.3%
L 1
 
6.7%
P 1
 
6.7%
G 1
 
6.7%
Han
ValueCountFrequency (%)
中 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45193
86.1%
ASCII 7301
 
13.9%
None 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4122
 
9.1%
설 3811
 
8.4%
생 2627
 
5.8%
활 2567
 
5.7%
근 2361
 
5.2%
린 2313
 
5.1%
무 2236
 
4.9%
소 1934
 
4.3%
주 1794
 
4.0%
사 1699
 
3.8%
Other values (207) 19729
43.7%
ASCII
ValueCountFrequency (%)
, 2324
31.8%
1746
23.9%
( 899
 
12.3%
) 897
 
12.3%
2 505
 
6.9%
1 455
 
6.2%
/ 180
 
2.5%
- 71
 
1.0%
4 43
 
0.6%
. 23
 
0.3%
Other values (23) 158
 
2.2%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
中 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
50.0%
ㅁ 1
50.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

용도지역
Categorical

Distinct23
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
도시지역
2905 
제2종일반주거지역
1276 
제3종일반주거지역
1023 
일반상업지역
647 
상대보호구역
640 
Other values (18)
1299 

Length

Max length13
Median length11
Mean length6.4662388
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row가로구역별최고높이제한지역
2nd row도시지역
3rd row제3종일반주거지역
4th row제3종일반주거지역
5th row도시지역

Common Values

ValueCountFrequency (%)
도시지역 2905
37.3%
제2종일반주거지역 1276
16.4%
제3종일반주거지역 1023
 
13.1%
일반상업지역 647
 
8.3%
상대보호구역 640
 
8.2%
<NA> 360
 
4.6%
제1종일반주거지역 298
 
3.8%
가로구역별최고높이제한지역 250
 
3.2%
제1종전용주거지역 220
 
2.8%
준주거지역 57
 
0.7%
Other values (13) 114
 
1.5%

Length

2024-04-13T22:04:06.268680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도시지역 2905
37.3%
제2종일반주거지역 1276
16.4%
제3종일반주거지역 1023
 
13.1%
일반상업지역 647
 
8.3%
상대보호구역 640
 
8.2%
na 360
 
4.6%
제1종일반주거지역 298
 
3.8%
가로구역별최고높이제한지역 250
 
3.2%
제1종전용주거지역 220
 
2.8%
준주거지역 57
 
0.7%
Other values (13) 114
 
1.5%

용도지구
Categorical

IMBALANCE 

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
<NA>
4157 
대공방어협조구역
2415 
중심지미관지구
582 
일반미관지구
 
325
시가지경관지구
 
64
Other values (24)
 
247

Length

Max length13
Median length4
Mean length5.6715019
Min length4

Unique

Unique12 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4157
53.4%
대공방어협조구역 2415
31.0%
중심지미관지구 582
 
7.5%
일반미관지구 325
 
4.2%
시가지경관지구 64
 
0.8%
역사문화미관지구 59
 
0.8%
보금자리주택지구 57
 
0.7%
집단취락지구 45
 
0.6%
공용시설보호지구 20
 
0.3%
아파트지구 16
 
0.2%
Other values (19) 50
 
0.6%

Length

2024-04-13T22:04:06.638403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4157
53.4%
대공방어협조구역 2415
31.0%
중심지미관지구 582
 
7.5%
일반미관지구 325
 
4.2%
시가지경관지구 64
 
0.8%
역사문화미관지구 59
 
0.8%
보금자리주택지구 57
 
0.7%
집단취락지구 45
 
0.6%
공용시설보호지구 20
 
0.3%
아파트지구 16
 
0.2%
Other values (19) 50
 
0.6%

용도구역
Categorical

IMBALANCE 

Distinct28
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
<NA>
5158 
지구단위계획구역
1746 
토지거래계약에관한허가구역
 
234
상대보호구역
 
175
제1종지구단위계획구역
 
141
Other values (23)
 
336

Length

Max length13
Median length4
Mean length5.4983312
Min length4

Unique

Unique12 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5158
66.2%
지구단위계획구역 1746
 
22.4%
토지거래계약에관한허가구역 234
 
3.0%
상대보호구역 175
 
2.2%
제1종지구단위계획구역 141
 
1.8%
중점경관관리구역 130
 
1.7%
지역특화발전특구 68
 
0.9%
대공방어 협조구역 42
 
0.5%
일반주거지역 34
 
0.4%
개발제한구역 14
 
0.2%
Other values (18) 48
 
0.6%

Length

2024-04-13T22:04:07.002764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5158
65.9%
지구단위계획구역 1746
 
22.3%
토지거래계약에관한허가구역 234
 
3.0%
상대보호구역 175
 
2.2%
제1종지구단위계획구역 141
 
1.8%
중점경관관리구역 130
 
1.7%
지역특화발전특구 68
 
0.9%
대공방어 42
 
0.5%
협조구역 42
 
0.5%
일반주거지역 34
 
0.4%
Other values (19) 62
 
0.8%

총주차대수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct277
Distinct (%)3.8%
Missing472
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean43.972943
Minimum0
Maximum37029
Zeros103
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:07.367244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q323
95-th percentile135.15
Maximum37029
Range37029
Interquartile range (IQR)18

Descriptive statistics

Standard deviation469.73426
Coefficient of variation (CV)10.682348
Kurtosis5261.0387
Mean43.972943
Median Absolute Deviation (MAD)4
Skewness67.681147
Sum321794
Variance220650.28
MonotonicityNot monotonic
2024-04-13T22:04:07.801663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 834
 
10.7%
5 766
 
9.8%
8 566
 
7.3%
6 563
 
7.2%
7 417
 
5.4%
3 417
 
5.4%
2 292
 
3.7%
9 193
 
2.5%
10 168
 
2.2%
1 161
 
2.1%
Other values (267) 2941
37.8%
(Missing) 472
 
6.1%
ValueCountFrequency (%)
0 103
 
1.3%
1 161
 
2.1%
2 292
 
3.7%
3 417
5.4%
4 834
10.7%
5 766
9.8%
6 563
7.2%
7 417
5.4%
8 566
7.3%
9 193
 
2.5%
ValueCountFrequency (%)
37029 1
 
< 0.1%
4075 8
0.1%
2850 7
0.1%
1641 1
 
< 0.1%
1312 3
 
< 0.1%
1300 2
 
< 0.1%
1261 1
 
< 0.1%
1149 5
0.1%
1084 7
0.1%
1004 1
 
< 0.1%

세대수
Real number (ℝ)

MISSING  ZEROS 

Distinct79
Distinct (%)5.8%
Missing6434
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean15.60177
Minimum0
Maximum583
Zeros206
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:08.207491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q315
95-th percentile32.75
Maximum583
Range583
Interquartile range (IQR)13

Descriptive statistics

Standard deviation38.252983
Coefficient of variation (CV)2.4518361
Kurtosis75.276259
Mean15.60177
Median Absolute Deviation (MAD)7
Skewness7.7263249
Sum21156
Variance1463.2907
MonotonicityNot monotonic
2024-04-13T22:04:08.627576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 206
 
2.6%
1 125
 
1.6%
10 112
 
1.4%
7 82
 
1.1%
16 74
 
0.9%
8 71
 
0.9%
12 71
 
0.9%
14 54
 
0.7%
9 54
 
0.7%
6 48
 
0.6%
Other values (69) 459
 
5.9%
(Missing) 6434
82.6%
ValueCountFrequency (%)
0 206
2.6%
1 125
1.6%
2 23
 
0.3%
3 20
 
0.3%
4 35
 
0.4%
5 27
 
0.3%
6 48
 
0.6%
7 82
 
1.1%
8 71
 
0.9%
9 54
 
0.7%
ValueCountFrequency (%)
583 1
< 0.1%
414 1
< 0.1%
400 1
< 0.1%
372 1
< 0.1%
360 1
< 0.1%
299 1
< 0.1%
298 1
< 0.1%
297 1
< 0.1%
283 2
< 0.1%
249 1
< 0.1%

호수
Real number (ℝ)

MISSING  ZEROS 

Distinct127
Distinct (%)12.3%
Missing6761
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean34.089407
Minimum0
Maximum845
Zeros126
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:09.042822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q319
95-th percentile181.8
Maximum845
Range845
Interquartile range (IQR)18

Descriptive statistics

Standard deviation91.047502
Coefficient of variation (CV)2.6708444
Kurtosis28.836176
Mean34.089407
Median Absolute Deviation (MAD)4
Skewness4.8496558
Sum35078
Variance8289.6476
MonotonicityNot monotonic
2024-04-13T22:04:09.465354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 196
 
2.5%
0 126
 
1.6%
2 73
 
0.9%
6 67
 
0.9%
4 48
 
0.6%
5 46
 
0.6%
3 43
 
0.6%
7 30
 
0.4%
9 24
 
0.3%
8 24
 
0.3%
Other values (117) 352
 
4.5%
(Missing) 6761
86.8%
ValueCountFrequency (%)
0 126
1.6%
1 196
2.5%
2 73
 
0.9%
3 43
 
0.6%
4 48
 
0.6%
5 46
 
0.6%
6 67
 
0.9%
7 30
 
0.4%
8 24
 
0.3%
9 24
 
0.3%
ValueCountFrequency (%)
845 1
 
< 0.1%
844 1
 
< 0.1%
781 1
 
< 0.1%
645 2
 
< 0.1%
644 3
< 0.1%
484 1
 
< 0.1%
405 1
 
< 0.1%
400 1
 
< 0.1%
382 2
 
< 0.1%
379 6
0.1%

가구수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct25
Distinct (%)2.0%
Missing6512
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean3.92723
Minimum0
Maximum400
Zeros193
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2024-04-13T22:04:09.844276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile11
Maximum400
Range400
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.45687
Coefficient of variation (CV)3.9358198
Kurtosis558.12004
Mean3.92723
Median Absolute Deviation (MAD)2
Skewness22.872304
Sum5019
Variance238.91483
MonotonicityNot monotonic
2024-04-13T22:04:10.254071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 380
 
4.9%
0 193
 
2.5%
4 136
 
1.7%
3 130
 
1.7%
2 116
 
1.5%
5 82
 
1.1%
6 51
 
0.7%
7 36
 
0.5%
8 32
 
0.4%
9 31
 
0.4%
Other values (15) 91
 
1.2%
(Missing) 6512
83.6%
ValueCountFrequency (%)
0 193
2.5%
1 380
4.9%
2 116
 
1.5%
3 130
 
1.7%
4 136
 
1.7%
5 82
 
1.1%
6 51
 
0.7%
7 36
 
0.5%
8 32
 
0.4%
9 31
 
0.4%
ValueCountFrequency (%)
400 1
 
< 0.1%
360 1
 
< 0.1%
74 1
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
19 1
 
< 0.1%
18 5
0.1%
17 3
< 0.1%
16 5
0.1%
15 2
 
< 0.1%

Sample

건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(백분율)용적률(백분율)구조허가일최종설계변경일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수승강기합주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수
0대수선서울특별시 강남구 역삼동 652-8218.2103.26622.76<NA>47.32214.34철근콘크리트구조2024-04-04<NA><NA><NA>5117.0911제2종근린생활시설사무소가로구역별최고높이제한지역대공방어협조구역<NA>4<NA><NA><NA>
1용도변경서울특별시 강남구 역삼동 6481415.4686.911267.1<NA>48.5305601.9924철근콘크리트구조2024-04-04<NA><NA><NA>13350.010업무시설업무시설, 근린생활시설도시지역<NA>지구단위계획구역0<NA>19<NA>
2신축서울특별시 강남구 신사동 664-3450.5223.671688.04<NA>49.65243.67철근콘크리트구조2024-04-03<NA><NA><NA>6223.0611제2종근린생활시설휴게음식점, 사무소,의원제3종일반주거지역시가지경관지구지구단위계획구역17<NA><NA><NA>
3용도변경서울특별시 강남구 논현동 234647.2335.372219.59<NA>51.8186291.6425철근콘크리트구조2024-04-03<NA><NA><NA>8129.511업무시설사무실제3종일반주거지역대공방어협조구역지구단위계획구역19<NA><NA><NA>
4신축서울특별시 강남구 청담동 16-16382.5226.92872.46<NA>59.3255144.0026철근콘크리트구조2024-04-02<NA><NA><NA>4214.9611노유자시설<NA>도시지역<NA>상대보호구역4<NA><NA><NA>
5신축서울특별시 강남구 삼성동 36-4201.8121.04591.94<NA>59.98199.91철근콘크리트구조2024-04-02<NA><NA><NA>5120.6511제2종근린생활시설사무소제2종일반주거지역<NA><NA>4<NA><NA><NA>
6용도변경서울특별시 강남구 신사동 518-10291.5144.28888.18<NA>49.4957244.4391철근콘크리트구조2024-04-02<NA><NA><NA>5115.510제2종근린생활시설주택제2종일반주거지역<NA><NA>5111
7증축서울특별시 강남구 역삼동 7251120.5660.152338.16679.358.91149.76일반철골구조2024-04-01<NA><NA><NA>4120.311제2종근린생활시설<NA>도시지역대공방어협조구역지구단위계획구역14<NA><NA><NA>
8용도변경서울특별시 강남구 논현동 213-31196.6117.45476.11<NA>59.74195.43철근콘크리트구조2024-04-01<NA><NA><NA>4113.0510제2종근린생활시설사무소제3종일반주거지역<NA><NA>8<NA><NA><NA>
9용도변경서울특별시 강남구 역삼동 775-5326.7194.421004.78<NA>59.51272.4<NA>2024-04-01<NA><NA><NA>6116.2511제1종근린생활시설자동차관련시설(세차장),단독주택도시지역대공방어협조구역<NA>7<NA><NA>1
건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(백분율)용적률(백분율)구조허가일최종설계변경일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수승강기합주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수
7780용도변경서울특별시 강남구 삼성동 143-8648.3388.185260.38<NA>59.88516.1철근콘크리트구조2015-01-08<NA><NA>2015-01-199430.111업무시설근린생활시설도시지역<NA><NA>40<NA><NA><NA>
7781대수선서울특별시 강남구 대치동 897-10329.8160.68855.45<NA>48.7204201.4221일반철골구조2015-01-08<NA>2015-03-022015-05-275<NA>14.2511제2종근린생활시설일반음식점-학원-사무실도시지역<NA><NA>6<NA><NA><NA>
7782대수선서울특별시 강남구 대치동 9488267.13506.7147714.6<NA>42.42249.97철골철근콘크리트구조2015-01-08<NA>2015-01-122015-01-169551.4419업무시설(사무소),제2종근린생활시설,제1종근린생활시설제3종일반주거지역중심지미관지구제1종지구단위계획구역338<NA><NA><NA>
7783대수선서울특별시 강남구 논현동 16-51 외1필지441.5217.621400.02<NA>49.2911224.9694철근콘크리트구조2015-01-072015-02-262015-01-192015-09-045212.711제2종근린생활시설사무실,일반음식점제3종일반주거지역<NA><NA>9<NA><NA><NA>
7784증축서울특별시 강남구 논현동 34-20257.9128.83747.96105.7349.9535237.75일반철골구조2015-01-072015-08-172016-02-172016-07-075116.510제1종근린생활시설사무소도시지역일반미관지구<NA>2<NA><NA><NA>
7785대수선서울특별시 강남구 신사동 563-33 외1필지1947.41009.384338.51<NA>51.83113.89일반철골구조2015-01-06<NA>2015-01-192015-02-093119.6211판매시설판매시설(상점),업무시설(사무소),근린생활시설(수리점)도시지역대공방어협조구역<NA>28<NA><NA><NA>
7786용도변경서울특별시 강남구 논현동 165-8541.3318.136618.18<NA>58.77871.91철근콘크리트구조2015-01-06<NA><NA>2015-04-0216554.911제1종근린생활시설의원일반상업지역중심지미관지구<NA>33<NA><NA><NA>
7787대수선서울특별시 강남구 논현동 91-6 외5필지2348.0727.5710528.16<NA>30.9868248.333철골철근콘크리트구조2015-01-06<NA>2015-01-092015-01-2210343.511업무시설사무소도시지역중심지미관지구<NA>179<NA><NA><NA>
7788용도변경서울특별시 강남구 논현동 94-22864.9393.43455.12<NA>45.49252.6철근콘크리트구조2015-01-06<NA><NA>2015-01-077332.212교육연구시설학원, 근린생활시설제3종일반주거지역일반미관지구<NA>31<NA><NA><NA>
7789용도변경서울특별시 강남구 대치동 889-33 외5필지940.1455.512732.95<NA>48.4534189.5011철근콘크리트구조2015-01-05<NA><NA><NA>4220.1511제1종근린생활시설<NA>일반상업지역일반미관지구제1종지구단위계획구역17<NA><NA><NA>

Duplicate rows

Most frequently occurring

건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(백분율)용적률(백분율)구조허가일최종설계변경일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수승강기합주용도부속용도용도지역용도지구용도구역총주차대수세대수호수가구수# duplicates
2신축서울특별시 강남구 대치동 951-292.737.2474.48<NA>40.1780.35철근콘크리트구조2022-02-10<NA><NA><NA>206.01<NA>제2종근린생활시설사무소<NA><NA><NA>1<NA><NA><NA>3
6용도변경서울특별시 강남구 수서동 7251982.61216.029302.9<NA>61.331127.83철골철근콘크리트구조2017-03-21<NA><NA><NA>20575.612업무시설업무시설상대보호구역대공방어협조구역중점경관관리구역244<NA>378<NA>3
10용도변경서울특별시 강남구 역삼동 642-9 외2필지854.6459.6910671.46<NA>53.79920.06철골철근콘크리트구조2019-01-21<NA><NA><NA>20674.8511업무시설<NA>일반상업지역<NA>지구단위계획구역57<NA>44<NA>3
0대수선서울특별시 강남구 청담동 118-15 외1필지478.5286.32341.3<NA>59.83351.37철근콘크리트구조2022-12-29<NA><NA><NA>8228.8511업무시설업무시설, 근린생활시설상대보호구역수변경관지구중점경관관리구역25<NA>9<NA>2
1신축서울특별시 강남구 대치동 951-1300.098.04196.08<NA>32.6865.36철근콘크리트구조2021-08-25<NA><NA><NA>206.01<NA>제1종근린생활시설소매점제3종일반주거지역<NA><NA>1<NA><NA><NA>2
3신축서울특별시 강남구 세곡동 367-1 외2필지417.0207.89595.71<NA>49.8594.71철근콘크리트구조2023-10-12<NA><NA><NA>217.61<NA>단독주택다가구주택(5가구)/ 소매점/휴게음식점제1종일반주거지역<NA><NA>6<NA>252
4용도변경서울특별시 강남구 논현동 233-21163.987.45337.71<NA>53.36152.69벽돌구조2022-11-28<NA><NA><NA>311.0310단독주택다가구주택제2종일반주거지역<NA><NA>30072
5용도변경서울특별시 강남구 대치동 507-23372.01681.7118757.3<NA>49.87247.31철골철근콘크리트구조2016-04-06<NA><NA><NA>6429.9513업무시설<NA>제3종일반주거지역<NA>지구단위계획구역120<NA>162<NA>2
7용도변경서울특별시 강남구 수서동 7251982.61216.029302.9<NA>61.331127.83철골철근콘크리트구조2017-03-31<NA><NA><NA>20575.612업무시설업무시설상대보호구역대공방어협조구역중점경관관리구역244<NA>378<NA>2
8용도변경서울특별시 강남구 수서동 7251982.61216.029302.9<NA>61.331127.83철골철근콘크리트구조2019-05-13<NA><NA><NA>20575.612업무시설및 근린생활시설일반상업지역<NA>지구단위계획구역244<NA>379<NA>2