Overview

Dataset statistics

Number of variables27
Number of observations4783
Missing cells23361
Missing cells (%)18.1%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory1.0 MiB
Average record size in memory230.0 B

Variable types

Categorical6
Text3
Numeric14
DateTime4

Dataset

Description이 데이터는 서울특별시 강남구 사용승인 현황입니다. 이 데이터에는 건축구분,대지위치, 연면적,건축면적, 허가일, 착공처리일, 사용승인일, 주용도, 세대수, 등이 포함되어 있습니다.
Author서울특별시 강남구
URLhttps://www.data.go.kr/data/15127536/fileData.do

Alerts

Dataset has 3 (0.1%) duplicate rowsDuplicates
구조 is highly imbalanced (72.0%)Imbalance
용도지구 is highly imbalanced (59.1%)Imbalance
용도구역 is highly imbalanced (64.1%)Imbalance
증축연면적(제곱미터) has 4349 (90.9%) missing valuesMissing
최종설계변경일 has 3825 (80.0%) missing valuesMissing
착공처리일 has 943 (19.7%) missing valuesMissing
최대지하층수 has 145 (3.0%) missing valuesMissing
승강기합 has 794 (16.6%) missing valuesMissing
부속용도 has 952 (19.9%) missing valuesMissing
총주차장면적(미터) has 133 (2.8%) missing valuesMissing
세대수 has 3786 (79.2%) missing valuesMissing
호수 has 4373 (91.4%) missing valuesMissing
가구수 has 3994 (83.5%) missing valuesMissing
연면적(제곱미터) is highly skewed (γ1 = 68.03294531)Skewed
용적률(백분율) is highly skewed (γ1 = 67.41777158)Skewed
최고높이(미터) is highly skewed (γ1 = 42.18486663)Skewed
동수 is highly skewed (γ1 = 68.56334567)Skewed
가구수 is highly skewed (γ1 = 24.28592746)Skewed
최대지하층수 has 723 (15.1%) zerosZeros
최고높이(미터) has 73 (1.5%) zerosZeros
동수 has 175 (3.7%) zerosZeros
승강기합 has 507 (10.6%) zerosZeros
가구수 has 78 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-13 12:56:43.503686
Analysis finished2024-04-13 12:56:45.250587
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
신축
2516 
대수선
940 
용도변경
875 
증축
441 
개축
 
11

Length

Max length4
Median length2
Mean length2.5624085
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 2516
52.6%
대수선 940
 
19.7%
용도변경 875
 
18.3%
증축 441
 
9.2%
개축 11
 
0.2%

Length

2024-04-13T21:56:45.516430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:56:45.875080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 2516
52.6%
대수선 940
 
19.7%
용도변경 875
 
18.3%
증축 441
 
9.2%
개축 11
 
0.2%

대지위치
Text

Distinct4176
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
2024-04-13T21:56:47.204495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length20.255488
Min length15

Characters and Unicode

Total characters96882
Distinct characters77
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

Unique3742 ?
Unique (%)78.2%

Sample

1st row서울특별시 강남구 대치동 1009-5
2nd row서울특별시 강남구 신사동 624-18
3rd row서울특별시 강남구 삼성동 141-26 외1필지
4th row서울특별시 강남구 역삼동 708-20
5th row서울특별시 강남구 수서동 717-6
ValueCountFrequency (%)
서울특별시 4783
23.7%
강남구 4783
23.7%
역삼동 1137
 
5.6%
논현동 970
 
4.8%
신사동 534
 
2.6%
외1필지 464
 
2.3%
청담동 425
 
2.1%
대치동 419
 
2.1%
삼성동 407
 
2.0%
개포동 198
 
1.0%
Other values (3935) 6033
29.9%
2024-04-13T21:56:49.006285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15379
15.9%
구 4940
 
5.1%
서 4839
 
5.0%
울 4792
 
4.9%
시 4789
 
4.9%
동 4785
 
4.9%
강 4783
 
4.9%
남 4783
 
4.9%
특 4783
 
4.9%
별 4783
 
4.9%
Other values (67) 38226
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56413
58.2%
Decimal Number 20914
 
21.6%
Space Separator 15379
 
15.9%
Dash Punctuation 4172
 
4.3%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4940
8.8%
서 4839
8.6%
울 4792
8.5%
시 4789
8.5%
동 4785
8.5%
강 4783
8.5%
남 4783
8.5%
특 4783
8.5%
별 4783
8.5%
삼 1544
 
2.7%
Other values (52) 11592
20.5%
Decimal Number
ValueCountFrequency (%)
1 4305
20.6%
2 2899
13.9%
6 2196
10.5%
5 1846
8.8%
3 1845
8.8%
7 1756
8.4%
4 1734
8.3%
8 1607
 
7.7%
9 1553
 
7.4%
0 1173
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
15379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4172
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56413
58.2%
Common 40467
41.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4940
8.8%
서 4839
8.6%
울 4792
8.5%
시 4789
8.5%
동 4785
8.5%
강 4783
8.5%
남 4783
8.5%
특 4783
8.5%
별 4783
8.5%
삼 1544
 
2.7%
Other values (52) 11592
20.5%
Common
ValueCountFrequency (%)
15379
38.0%
1 4305
 
10.6%
- 4172
 
10.3%
2 2899
 
7.2%
6 2196
 
5.4%
5 1846
 
4.6%
3 1845
 
4.6%
7 1756
 
4.3%
4 1734
 
4.3%
8 1607
 
4.0%
Other values (3) 2728
 
6.7%
Latin
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56413
58.2%
ASCII 40469
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15379
38.0%
1 4305
 
10.6%
- 4172
 
10.3%
2 2899
 
7.2%
6 2196
 
5.4%
5 1846
 
4.6%
3 1845
 
4.6%
7 1756
 
4.3%
4 1734
 
4.3%
8 1607
 
4.0%
Other values (5) 2730
 
6.7%
Hangul
ValueCountFrequency (%)
구 4940
8.8%
서 4839
8.6%
울 4792
8.5%
시 4789
8.5%
동 4785
8.5%
강 4783
8.5%
남 4783
8.5%
특 4783
8.5%
별 4783
8.5%
삼 1544
 
2.7%
Other values (52) 11592
20.5%

대지면적(제곱미터)
Real number (ℝ)

Distinct3003
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1790.3382
Minimum23.47
Maximum392671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:49.423007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.47
5-th percentile178.51
Q1246.3
median354
Q3672.05
95-th percentile2804.43
Maximum392671
Range392647.53
Interquartile range (IQR)425.75

Descriptive statistics

Standard deviation13999.829
Coefficient of variation (CV)7.8196559
Kurtosis377.47867
Mean1790.3382
Median Absolute Deviation (MAD)142.8
Skewness17.547544
Sum8563187.8
Variance1.9599521 × 108
MonotonicityNot monotonic
2024-04-13T21:56:49.868819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265.0 28
 
0.6%
165.0 20
 
0.4%
148784.0 15
 
0.3%
203.8 10
 
0.2%
266.0 10
 
0.2%
197.9 9
 
0.2%
4171.7 8
 
0.2%
311.0 7
 
0.1%
330.0 7
 
0.1%
363.5 7
 
0.1%
Other values (2993) 4662
97.5%
ValueCountFrequency (%)
23.47 1
< 0.1%
64.0 1
< 0.1%
66.6 1
< 0.1%
68.0 1
< 0.1%
74.2 1
< 0.1%
74.77 1
< 0.1%
79.6 1
< 0.1%
86.7 1
< 0.1%
89.3 1
< 0.1%
89.4 1
< 0.1%
ValueCountFrequency (%)
392671.0 2
 
< 0.1%
329671.0 1
 
< 0.1%
207904.0 1
 
< 0.1%
153747.0 5
 
0.1%
148784.0 15
0.3%
66230.3 4
 
0.1%
52143.5 1
 
< 0.1%
46177.0 1
 
< 0.1%
46117.0 1
 
< 0.1%
31048.2 1
 
< 0.1%

건축면적(제곱미터)
Real number (ℝ)

Distinct3873
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean633.82845
Minimum10.56
Maximum88337.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:50.294240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.56
5-th percentile97.694
Q1135.57
median190.5
Q3353.5
95-th percentile1393.77
Maximum88337.72
Range88327.16
Interquartile range (IQR)217.93

Descriptive statistics

Standard deviation4099.2599
Coefficient of variation (CV)6.4674595
Kurtosis396.77022
Mean633.82845
Median Absolute Deviation (MAD)72.35
Skewness19.164251
Sum3031601.5
Variance16803932
MonotonicityNot monotonic
2024-04-13T21:56:50.701451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
716.54 8
 
0.2%
564.52 7
 
0.1%
501.96 7
 
0.1%
88331.32 7
 
0.1%
1504.28 7
 
0.1%
5600.51 7
 
0.1%
7350.36 7
 
0.1%
1472.18 6
 
0.1%
2217.92 6
 
0.1%
791.58 6
 
0.1%
Other values (3863) 4715
98.6%
ValueCountFrequency (%)
10.56 1
< 0.1%
11.45 1
< 0.1%
13.68 1
< 0.1%
38.19 1
< 0.1%
40.76 1
< 0.1%
42.29 1
< 0.1%
43.23 1
< 0.1%
43.92 1
< 0.1%
44.42 1
< 0.1%
44.95 1
< 0.1%
ValueCountFrequency (%)
88337.72 2
 
< 0.1%
88331.32 7
0.1%
35250.01 1
 
< 0.1%
32036.57 1
 
< 0.1%
30654.4 3
0.1%
29023.36 1
 
< 0.1%
28475.48 1
 
< 0.1%
25167.52 1
 
< 0.1%
17194.45 1
 
< 0.1%
16330.7 1
 
< 0.1%

연면적(제곱미터)
Real number (ℝ)

SKEWED 

Distinct4245
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55368.853
Minimum16.32
Maximum2.0061437 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:51.109210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.32
5-th percentile285.082
Q1529.52
median917.23
Q32965.875
95-th percentile19988.23
Maximum2.0061437 × 108
Range2.0061435 × 108
Interquartile range (IQR)2436.355

Descriptive statistics

Standard deviation2917369.6
Coefficient of variation (CV)52.689724
Kurtosis4674.0381
Mean55368.853
Median Absolute Deviation (MAD)535.83
Skewness68.032945
Sum2.6482922 × 108
Variance8.5110454 × 1012
MonotonicityNot monotonic
2024-04-13T21:56:51.570118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
973087.39 8
 
0.2%
14000.15 7
 
0.1%
5097.13 7
 
0.1%
9523.01 7
 
0.1%
212615.29 7
 
0.1%
23921.76 7
 
0.1%
58763.89 6
 
0.1%
14588.14 6
 
0.1%
15953.94 6
 
0.1%
76247.22 5
 
0.1%
Other values (4235) 4717
98.6%
ValueCountFrequency (%)
16.32 1
< 0.1%
40.67 1
< 0.1%
46.8 1
< 0.1%
104.52 1
< 0.1%
106.86 1
< 0.1%
114.01 1
< 0.1%
114.4 1
< 0.1%
114.48 1
< 0.1%
114.57 1
< 0.1%
116.55 1
< 0.1%
ValueCountFrequency (%)
200614369.0 1
 
< 0.1%
18108786.0 1
 
< 0.1%
11378650.0 1
 
< 0.1%
973087.39 8
0.2%
972976.0 1
 
< 0.1%
533397.0 1
 
< 0.1%
354402.86 2
 
< 0.1%
354364.64 1
 
< 0.1%
343314.54 1
 
< 0.1%
343219.75 1
 
< 0.1%

증축연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct427
Distinct (%)98.4%
Missing4349
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean1122.0332
Minimum-7543.22
Maximum90373.15
Zeros5
Zeros (%)0.1%
Negative26
Negative (%)0.5%
Memory size42.2 KiB
2024-04-13T21:56:51.994618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7543.22
5-th percentile-4.241
Q140.785
median125.52
Q3491.8225
95-th percentile4292.5215
Maximum90373.15
Range97916.37
Interquartile range (IQR)451.0375

Descriptive statistics

Standard deviation5573.041
Coefficient of variation (CV)4.9669126
Kurtosis172.08383
Mean1122.0332
Median Absolute Deviation (MAD)115.52
Skewness12.05008
Sum486962.42
Variance31058786
MonotonicityNot monotonic
2024-04-13T21:56:52.536781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
0.1%
37.31 2
 
< 0.1%
64.8 2
 
< 0.1%
105.6 2
 
< 0.1%
78.11 1
 
< 0.1%
86.57 1
 
< 0.1%
-0.55 1
 
< 0.1%
164.13 1
 
< 0.1%
26.12 1
 
< 0.1%
2010.62 1
 
< 0.1%
Other values (417) 417
 
8.7%
(Missing) 4349
90.9%
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%
-132.2 1
< 0.1%
-129.96 1
< 0.1%
-106.28 1
< 0.1%
-91.96 1
< 0.1%
ValueCountFrequency (%)
90373.15 1
< 0.1%
53285.02 1
< 0.1%
33724.89 1
< 0.1%
15154.59 1
< 0.1%
14860.3 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%

건폐율(백분율)
Real number (ℝ)

Distinct2537
Distinct (%)53.1%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean53.337682
Minimum0.08
Maximum207.8203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:52.939745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile39.97619
Q149.56
median55.16
Q359.44
95-th percentile59.96
Maximum207.8203
Range207.7403
Interquartile range (IQR)9.88

Descriptive statistics

Standard deviation8.0841096
Coefficient of variation (CV)0.1515647
Kurtosis34.654792
Mean53.337682
Median Absolute Deviation (MAD)4.72
Skewness-0.33341378
Sum254900.78
Variance65.352828
MonotonicityNot monotonic
2024-04-13T21:56:53.362328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.98 35
 
0.7%
59.97 33
 
0.7%
59.99 32
 
0.7%
59.93 32
 
0.7%
59.95 28
 
0.6%
59.94 26
 
0.5%
49.99 26
 
0.5%
59.92 25
 
0.5%
59.96 23
 
0.5%
49.96 23
 
0.5%
Other values (2527) 4496
94.0%
ValueCountFrequency (%)
0.08 1
< 0.1%
0.6326 1
< 0.1%
1.1752 1
< 0.1%
1.7277 1
< 0.1%
1.7358 1
< 0.1%
1.74 1
< 0.1%
2.02 2
< 0.1%
3.74 1
< 0.1%
4.1589 1
< 0.1%
4.38 1
< 0.1%
ValueCountFrequency (%)
207.8203 1
< 0.1%
84.549 1
< 0.1%
82.5345 1
< 0.1%
82.5147 1
< 0.1%
81.8045 1
< 0.1%
78.9123 1
< 0.1%
78.91 1
< 0.1%
78.3718 1
< 0.1%
75.3132 1
< 0.1%
74.97 1
< 0.1%

용적률(백분율)
Real number (ℝ)

SKEWED 

Distinct3883
Distinct (%)81.3%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean292.85296
Minimum0.13
Maximum108689.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:53.775213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.13
5-th percentile82.93622
Q1169.35
median199.79
Q3275.705
95-th percentile798.4306
Maximum108689.46
Range108689.33
Interquartile range (IQR)106.355

Descriptive statistics

Standard deviation1581.532
Coefficient of variation (CV)5.4004304
Kurtosis4621.3428
Mean292.85296
Median Absolute Deviation (MAD)49.96
Skewness67.417772
Sum1399544.3
Variance2501243.6
MonotonicityNot monotonic
2024-04-13T21:56:54.204570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199.91 12
 
0.3%
199.98 11
 
0.2%
199.88 10
 
0.2%
199.74 9
 
0.2%
199.93 9
 
0.2%
199.84 9
 
0.2%
199.7 9
 
0.2%
199.97 8
 
0.2%
149.98 8
 
0.2%
199.45 8
 
0.2%
Other values (3873) 4686
98.0%
ValueCountFrequency (%)
0.13 1
< 0.1%
0.6326 1
< 0.1%
0.81 1
< 0.1%
1.7277 1
< 0.1%
3.4506 1
< 0.1%
5.39 1
< 0.1%
5.3901 1
< 0.1%
6.14 1
< 0.1%
6.44 1
< 0.1%
6.5213 1
< 0.1%
ValueCountFrequency (%)
108689.46 1
< 0.1%
2226.62 1
< 0.1%
1190.55 2
< 0.1%
1157.58 1
< 0.1%
1127.83 1
< 0.1%
1126.88 1
< 0.1%
1102.14 1
< 0.1%
1097.7 1
< 0.1%
1087.31 1
< 0.1%
1067.93 1
< 0.1%

구조
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
철근콘크리트구조
3895 
철골철근콘크리트구조
 
319
<NA>
 
221
일반철골구조
 
161
벽돌구조
 
100
Other values (12)
 
87

Length

Max length12
Median length8
Mean length7.7798453
Min length3

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 3895
81.4%
철골철근콘크리트구조 319
 
6.7%
<NA> 221
 
4.6%
일반철골구조 161
 
3.4%
벽돌구조 100
 
2.1%
경량철골구조 24
 
0.5%
철골콘크리트구조 22
 
0.5%
일반목구조 12
 
0.3%
철골철근콘크리트합성구조 11
 
0.2%
기타강구조 6
 
0.1%
Other values (7) 12
 
0.3%

Length

2024-04-13T21:56:54.603302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 3895
81.4%
철골철근콘크리트구조 319
 
6.7%
na 221
 
4.6%
일반철골구조 161
 
3.4%
벽돌구조 100
 
2.1%
경량철골구조 24
 
0.5%
철골콘크리트구조 22
 
0.5%
일반목구조 12
 
0.3%
철골철근콘크리트합성구조 11
 
0.2%
기타강구조 6
 
0.1%
Other values (7) 12
 
0.3%

허가일
Date

Distinct2042
Distinct (%)43.1%
Missing41
Missing (%)0.9%
Memory size37.5 KiB
Minimum1981-08-08 00:00:00
Maximum2024-03-27 00:00:00
2024-04-13T21:56:54.969377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:56:55.420061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종설계변경일
Date

MISSING 

Distinct754
Distinct (%)78.7%
Missing3825
Missing (%)80.0%
Memory size37.5 KiB
Minimum1997-04-03 00:00:00
Maximum2024-03-25 00:00:00
2024-04-13T21:56:55.816332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:56:56.197554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공처리일
Date

MISSING 

Distinct1867
Distinct (%)48.6%
Missing943
Missing (%)19.7%
Memory size37.5 KiB
Minimum1996-10-22 00:00:00
Maximum2024-04-01 00:00:00
2024-04-13T21:56:56.573350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:56:56.967201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일
Date

Distinct1940
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
Minimum2015-01-05 00:00:00
Maximum2024-04-03 00:00:00
2024-04-13T21:56:57.331425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:56:57.734763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct36
Distinct (%)0.8%
Missing8
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean6.5218848
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:58.125863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile17
Maximum54
Range53
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.9374696
Coefficient of variation (CV)0.75706175
Kurtosis14.36023
Mean6.5218848
Median Absolute Deviation (MAD)1
Skewness3.0308803
Sum31142
Variance24.378606
MonotonicityNot monotonic
2024-04-13T21:56:58.526896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5 1247
26.1%
6 702
14.7%
4 683
14.3%
2 497
 
10.4%
7 331
 
6.9%
3 299
 
6.3%
8 162
 
3.4%
15 114
 
2.4%
10 96
 
2.0%
9 87
 
1.8%
Other values (26) 557
11.6%
ValueCountFrequency (%)
1 42
 
0.9%
2 497
 
10.4%
3 299
 
6.3%
4 683
14.3%
5 1247
26.1%
6 702
14.7%
7 331
 
6.9%
8 162
 
3.4%
9 87
 
1.8%
10 96
 
2.0%
ValueCountFrequency (%)
54 1
 
< 0.1%
51 1
 
< 0.1%
45 7
0.1%
41 1
 
< 0.1%
38 7
0.1%
36 3
0.1%
33 1
 
< 0.1%
32 5
0.1%
31 7
0.1%
30 2
 
< 0.1%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.2%
Missing145
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean1.7475205
Minimum0
Maximum9
Zeros723
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:58.876294image/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 deviation1.6142659
Coefficient of variation (CV)0.92374647
Kurtosis2.5777648
Mean1.7475205
Median Absolute Deviation (MAD)1
Skewness1.5973495
Sum8105
Variance2.6058543
MonotonicityNot monotonic
2024-04-13T21:56:59.202544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 2045
42.8%
2 858
17.9%
0 723
 
15.1%
3 419
 
8.8%
4 239
 
5.0%
5 131
 
2.7%
6 121
 
2.5%
7 69
 
1.4%
8 30
 
0.6%
9 3
 
0.1%
(Missing) 145
 
3.0%
ValueCountFrequency (%)
0 723
 
15.1%
1 2045
42.8%
2 858
17.9%
3 419
 
8.8%
4 239
 
5.0%
5 131
 
2.7%
6 121
 
2.5%
7 69
 
1.4%
8 30
 
0.6%
9 3
 
0.1%
ValueCountFrequency (%)
9 3
 
0.1%
8 30
 
0.6%
7 69
 
1.4%
6 121
 
2.5%
5 131
 
2.7%
4 239
 
5.0%
3 419
 
8.8%
2 858
17.9%
1 2045
42.8%
0 723
 
15.1%

최고높이(미터)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1631
Distinct (%)34.2%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean33.412306
Minimum0
Maximum17100
Zeros73
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:56:59.561162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113.9
median18.1
Q327.05
95-th percentile70
Maximum17100
Range17100
Interquartile range (IQR)13.15

Descriptive statistics

Standard deviation350.11079
Coefficient of variation (CV)10.478499
Kurtosis1841.2166
Mean33.412306
Median Absolute Deviation (MAD)5.615
Skewness42.184867
Sum159476.93
Variance122577.57
MonotonicityNot monotonic
2024-04-13T21:56:59.995675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 73
 
1.5%
18.0 38
 
0.8%
15.0 28
 
0.6%
14.2 28
 
0.6%
16.6 26
 
0.5%
17.1 25
 
0.5%
17.4 24
 
0.5%
14.5 24
 
0.5%
17.2 24
 
0.5%
16.8 24
 
0.5%
Other values (1621) 4459
93.2%
ValueCountFrequency (%)
0.0 73
1.5%
0.95 1
 
< 0.1%
1.41 1
 
< 0.1%
1.45 1
 
< 0.1%
2.09 1
 
< 0.1%
2.4 1
 
< 0.1%
3.0 1
 
< 0.1%
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.4 1
 
< 0.1%
ValueCountFrequency (%)
17100.0 1
 
< 0.1%
13990.0 1
 
< 0.1%
9850.0 1
 
< 0.1%
227.0 1
 
< 0.1%
202.65 7
0.1%
183.48 3
0.1%
171.28 1
 
< 0.1%
169.7 1
 
< 0.1%
166.85 4
0.1%
158.9 3
0.1%

동수
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3706879
Minimum0
Maximum1419
Zeros175
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:57:00.530269image/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 deviation20.562966
Coefficient of variation (CV)15.001932
Kurtosis4726.8426
Mean1.3706879
Median Absolute Deviation (MAD)0
Skewness68.563346
Sum6556
Variance422.83559
MonotonicityNot monotonic
2024-04-13T21:57:00.889968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 4454
93.1%
0 175
 
3.7%
2 98
 
2.0%
3 24
 
0.5%
7 5
 
0.1%
9 4
 
0.1%
5 4
 
0.1%
4 4
 
0.1%
11 3
 
0.1%
12 2
 
< 0.1%
Other values (9) 10
 
0.2%
ValueCountFrequency (%)
0 175
 
3.7%
1 4454
93.1%
2 98
 
2.0%
3 24
 
0.5%
4 4
 
0.1%
5 4
 
0.1%
7 5
 
0.1%
8 1
 
< 0.1%
9 4
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
1419 1
 
< 0.1%
66 2
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
19 1
 
< 0.1%
14 1
 
< 0.1%
12 2
< 0.1%
11 3
0.1%
10 1
 
< 0.1%

승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)0.7%
Missing794
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.5565305
Minimum0
Maximum119
Zeros507
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:57:01.255843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum119
Range119
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4010037
Coefficient of variation (CV)2.1849901
Kurtosis403.29
Mean1.5565305
Median Absolute Deviation (MAD)0
Skewness15.392364
Sum6209
Variance11.566826
MonotonicityNot monotonic
2024-04-13T21:57:01.634603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 2673
55.9%
0 507
 
10.6%
2 442
 
9.2%
3 147
 
3.1%
4 66
 
1.4%
6 42
 
0.9%
5 28
 
0.6%
11 13
 
0.3%
8 9
 
0.2%
12 9
 
0.2%
Other values (16) 53
 
1.1%
(Missing) 794
 
16.6%
ValueCountFrequency (%)
0 507
 
10.6%
1 2673
55.9%
2 442
 
9.2%
3 147
 
3.1%
4 66
 
1.4%
5 28
 
0.6%
6 42
 
0.9%
7 3
 
0.1%
8 9
 
0.2%
9 5
 
0.1%
ValueCountFrequency (%)
119 1
 
< 0.1%
48 3
0.1%
35 3
0.1%
29 7
0.1%
25 4
0.1%
24 3
0.1%
23 7
0.1%
22 1
 
< 0.1%
19 1
 
< 0.1%
17 4
0.1%

주용도
Categorical

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
제2종근린생활시설
1555 
업무시설
882 
공동주택
771 
제1종근린생활시설
641 
단독주택
500 
Other values (19)
434 

Length

Max length10
Median length9
Mean length6.396613
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row업무시설
2nd row제1종근린생활시설
3rd row업무시설
4th row제1종근린생활시설
5th row업무시설

Common Values

ValueCountFrequency (%)
제2종근린생활시설 1555
32.5%
업무시설 882
18.4%
공동주택 771
16.1%
제1종근린생활시설 641
13.4%
단독주택 500
 
10.5%
교육연구시설 114
 
2.4%
숙박시설 73
 
1.5%
의료시설 65
 
1.4%
문화및집회시설 44
 
0.9%
판매시설 37
 
0.8%
Other values (14) 101
 
2.1%

Length

2024-04-13T21:57:02.060386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 1555
32.5%
업무시설 882
18.4%
공동주택 771
16.1%
제1종근린생활시설 641
13.4%
단독주택 500
 
10.5%
교육연구시설 114
 
2.4%
숙박시설 73
 
1.5%
의료시설 65
 
1.4%
문화및집회시설 44
 
0.9%
판매시설 37
 
0.8%
Other values (14) 101
 
2.1%

부속용도
Text

MISSING 

Distinct1201
Distinct (%)31.3%
Missing952
Missing (%)19.9%
Memory size37.5 KiB
2024-04-13T21:57:02.925302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length45
Mean length9.0569042
Min length2

Characters and Unicode

Total characters34697
Distinct characters234
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique954 ?
Unique (%)24.9%

Sample

1st row근린생활시설, 교육연구시설
2nd row근린생활시설
3rd row(사무소), 근린생활시설
4th row오피스텔, 근린생활시설, 운동시설
5th row업무시설,근린생활시설
ValueCountFrequency (%)
사무소 579
 
11.6%
근린생활시설 559
 
11.2%
다세대주택 361
 
7.3%
다가구주택 275
 
5.5%
소매점 183
 
3.7%
일반음식점 158
 
3.2%
및 137
 
2.8%
업무시설 128
 
2.6%
제2종근린생활시설 93
 
1.9%
사무실 92
 
1.8%
Other values (863) 2409
48.4%
2024-04-13T21:57:04.268797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 2468
 
7.1%
설 2200
 
6.3%
생 1578
 
4.5%
활 1533
 
4.4%
, 1467
 
4.2%
주 1409
 
4.1%
택 1347
 
3.9%
근 1338
 
3.9%
린 1301
 
3.7%
무 1269
 
3.7%
Other values (224) 18787
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29612
85.3%
Other Punctuation 1619
 
4.7%
Space Separator 1159
 
3.3%
Decimal Number 790
 
2.3%
Open Punctuation 714
 
2.1%
Close Punctuation 710
 
2.0%
Dash Punctuation 69
 
0.2%
Lowercase Letter 12
 
< 0.1%
Math Symbol 6
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2468
 
8.3%
설 2200
 
7.4%
생 1578
 
5.3%
활 1533
 
5.2%
주 1409
 
4.8%
택 1347
 
4.5%
근 1338
 
4.5%
린 1301
 
4.4%
무 1269
 
4.3%
소 1152
 
3.9%
Other values (190) 14017
47.3%
Decimal Number
ValueCountFrequency (%)
1 335
42.4%
2 327
41.4%
4 38
 
4.8%
3 22
 
2.8%
8 13
 
1.6%
6 12
 
1.5%
5 12
 
1.5%
7 11
 
1.4%
9 10
 
1.3%
0 10
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 1467
90.6%
/ 122
 
7.5%
. 16
 
1.0%
: 10
 
0.6%
· 2
 
0.1%
& 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
t 4
33.3%
h 2
16.7%
a 2
16.7%
k 2
16.7%
n 2
16.7%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
L 1
33.3%
G 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 708
99.2%
[ 6
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 704
99.2%
] 6
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 3
50.0%
= 3
50.0%
Space Separator
ValueCountFrequency (%)
1159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29612
85.3%
Common 5070
 
14.6%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2468
 
8.3%
설 2200
 
7.4%
생 1578
 
5.3%
활 1533
 
5.2%
주 1409
 
4.8%
택 1347
 
4.5%
근 1338
 
4.5%
린 1301
 
4.4%
무 1269
 
4.3%
소 1152
 
3.9%
Other values (190) 14017
47.3%
Common
ValueCountFrequency (%)
, 1467
28.9%
1159
22.9%
( 708
14.0%
) 704
13.9%
1 335
 
6.6%
2 327
 
6.4%
/ 122
 
2.4%
- 69
 
1.4%
4 38
 
0.7%
3 22
 
0.4%
Other values (16) 119
 
2.3%
Latin
ValueCountFrequency (%)
t 4
26.7%
h 2
13.3%
a 2
13.3%
k 2
13.3%
n 2
13.3%
P 1
 
6.7%
L 1
 
6.7%
G 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29612
85.3%
ASCII 5082
 
14.6%
None 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 2468
 
8.3%
설 2200
 
7.4%
생 1578
 
5.3%
활 1533
 
5.2%
주 1409
 
4.8%
택 1347
 
4.5%
근 1338
 
4.5%
린 1301
 
4.4%
무 1269
 
4.3%
소 1152
 
3.9%
Other values (190) 14017
47.3%
ASCII
ValueCountFrequency (%)
, 1467
28.9%
1159
22.8%
( 708
13.9%
) 704
13.9%
1 335
 
6.6%
2 327
 
6.4%
/ 122
 
2.4%
- 69
 
1.4%
4 38
 
0.7%
3 22
 
0.4%
Other values (22) 131
 
2.6%
None
ValueCountFrequency (%)
· 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

용도지역
Categorical

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
도시지역
1853 
제2종일반주거지역
827 
제3종일반주거지역
630 
일반상업지역
403 
상대보호구역
311 
Other values (17)
759 

Length

Max length13
Median length9
Mean length6.4662346
Min length4

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
도시지역 1853
38.7%
제2종일반주거지역 827
17.3%
제3종일반주거지역 630
 
13.2%
일반상업지역 403
 
8.4%
상대보호구역 311
 
6.5%
제1종일반주거지역 250
 
5.2%
<NA> 150
 
3.1%
제1종전용주거지역 140
 
2.9%
가로구역별최고높이제한지역 105
 
2.2%
준주거지역 42
 
0.9%
Other values (12) 72
 
1.5%

Length

2024-04-13T21:57:04.662043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도시지역 1853
38.7%
제2종일반주거지역 827
17.3%
제3종일반주거지역 630
 
13.2%
일반상업지역 403
 
8.4%
상대보호구역 311
 
6.5%
제1종일반주거지역 250
 
5.2%
na 150
 
3.1%
제1종전용주거지역 140
 
2.9%
가로구역별최고높이제한지역 105
 
2.2%
준주거지역 42
 
0.9%
Other values (12) 72
 
1.5%

용도지구
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
<NA>
2473 
대공방어협조구역
1365 
중심지미관지구
449 
일반미관지구
 
247
보금자리주택지구
 
54
Other values (22)
 
195

Length

Max length13
Median length4
Mean length5.6893163
Min length4

Unique

Unique10 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2473
51.7%
대공방어협조구역 1365
28.5%
중심지미관지구 449
 
9.4%
일반미관지구 247
 
5.2%
보금자리주택지구 54
 
1.1%
역사문화미관지구 51
 
1.1%
시가지경관지구 32
 
0.7%
공용시설보호지구 25
 
0.5%
집단취락지구 24
 
0.5%
아파트지구 16
 
0.3%
Other values (17) 47
 
1.0%

Length

2024-04-13T21:57:05.022055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2473
51.7%
대공방어협조구역 1365
28.5%
중심지미관지구 449
 
9.4%
일반미관지구 247
 
5.2%
보금자리주택지구 54
 
1.1%
역사문화미관지구 51
 
1.1%
시가지경관지구 32
 
0.7%
공용시설보호지구 25
 
0.5%
집단취락지구 24
 
0.5%
아파트지구 16
 
0.3%
Other values (17) 47
 
1.0%

용도구역
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
<NA>
3119 
지구단위계획구역
1115 
제1종지구단위계획구역
 
125
상대보호구역
 
94
토지거래계약에관한허가구역
 
85
Other values (17)
 
245

Length

Max length13
Median length4
Mean length5.5122308
Min length4

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3119
65.2%
지구단위계획구역 1115
 
23.3%
제1종지구단위계획구역 125
 
2.6%
상대보호구역 94
 
2.0%
토지거래계약에관한허가구역 85
 
1.8%
대공방어 협조구역 68
 
1.4%
지역특화발전특구 64
 
1.3%
중점경관관리구역 53
 
1.1%
일반주거지역 24
 
0.5%
용도구역기타 9
 
0.2%
Other values (12) 27
 
0.6%

Length

2024-04-13T21:57:05.392366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3119
64.3%
지구단위계획구역 1115
 
23.0%
제1종지구단위계획구역 125
 
2.6%
상대보호구역 94
 
1.9%
토지거래계약에관한허가구역 85
 
1.8%
대공방어 68
 
1.4%
협조구역 68
 
1.4%
지역특화발전특구 64
 
1.3%
중점경관관리구역 53
 
1.1%
일반주거지역 24
 
0.5%
Other values (13) 36
 
0.7%

총주차장면적(미터)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)5.3%
Missing133
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean40.983226
Minimum0
Maximum4075
Zeros25
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:57:05.767123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q321
95-th percentile133.1
Maximum4075
Range4075
Interquartile range (IQR)16

Descriptive statistics

Standard deviation199.0584
Coefficient of variation (CV)4.8570702
Kurtosis263.5185
Mean40.983226
Median Absolute Deviation (MAD)4
Skewness14.828268
Sum190572
Variance39624.248
MonotonicityNot monotonic
2024-04-13T21:57:06.209883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 535
 
11.2%
4 509
 
10.6%
8 404
 
8.4%
6 377
 
7.9%
7 277
 
5.8%
3 242
 
5.1%
2 171
 
3.6%
9 125
 
2.6%
10 116
 
2.4%
11 84
 
1.8%
Other values (237) 1810
37.8%
(Missing) 133
 
2.8%
ValueCountFrequency (%)
0 25
 
0.5%
1 79
 
1.7%
2 171
 
3.6%
3 242
5.1%
4 509
10.6%
5 535
11.2%
6 377
7.9%
7 277
5.8%
8 404
8.4%
9 125
 
2.6%
ValueCountFrequency (%)
4075 6
0.1%
2850 5
0.1%
1641 1
 
< 0.1%
1312 4
0.1%
1300 2
 
< 0.1%
1149 7
0.1%
1084 4
0.1%
1004 1
 
< 0.1%
889 3
0.1%
808 1
 
< 0.1%

세대수
Text

MISSING 

Distinct59
Distinct (%)5.9%
Missing3786
Missing (%)79.2%
Memory size37.5 KiB
2024-04-13T21:57:06.962759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.5917753
Min length1

Characters and Unicode

Total characters1587
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

Unique26 ?
Unique (%)2.6%

Sample

1st row7
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
10 98
 
9.8%
1 87
 
8.7%
7 77
 
7.7%
0 72
 
7.2%
16 71
 
7.1%
12 64
 
6.4%
8 60
 
6.0%
14 46
 
4.6%
9 45
 
4.5%
15 38
 
3.8%
Other values (49) 339
34.0%
2024-04-13T21:57:08.126881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 574
36.2%
0 209
 
13.2%
2 184
 
11.6%
6 114
 
7.2%
8 110
 
6.9%
7 102
 
6.4%
9 96
 
6.0%
4 90
 
5.7%
5 63
 
4.0%
3 44
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1586
99.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 574
36.2%
0 209
 
13.2%
2 184
 
11.6%
6 114
 
7.2%
8 110
 
6.9%
7 102
 
6.4%
9 96
 
6.1%
4 90
 
5.7%
5 63
 
4.0%
3 44
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1587
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 574
36.2%
0 209
 
13.2%
2 184
 
11.6%
6 114
 
7.2%
8 110
 
6.9%
7 102
 
6.4%
9 96
 
6.0%
4 90
 
5.7%
5 63
 
4.0%
3 44
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 574
36.2%
0 209
 
13.2%
2 184
 
11.6%
6 114
 
7.2%
8 110
 
6.9%
7 102
 
6.4%
9 96
 
6.0%
4 90
 
5.7%
5 63
 
4.0%
3 44
 
2.8%

호수
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)22.9%
Missing4373
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean30.673171
Minimum0
Maximum844
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:57:08.529801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median5
Q320.75
95-th percentile162.55
Maximum844
Range844
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation78.905102
Coefficient of variation (CV)2.5724469
Kurtosis49.258541
Mean30.673171
Median Absolute Deviation (MAD)4
Skewness5.9873008
Sum12576
Variance6226.0152
MonotonicityNot monotonic
2024-04-13T21:57:08.946478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.3%
2 37
 
0.8%
3 28
 
0.6%
6 27
 
0.6%
5 25
 
0.5%
4 20
 
0.4%
7 10
 
0.2%
11 9
 
0.2%
29 8
 
0.2%
12 6
 
0.1%
Other values (84) 132
 
2.8%
(Missing) 4373
91.4%
ValueCountFrequency (%)
0 6
 
0.1%
1 108
2.3%
2 37
 
0.8%
3 28
 
0.6%
4 20
 
0.4%
5 25
 
0.5%
6 27
 
0.6%
7 10
 
0.2%
8 4
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
844 1
< 0.1%
781 1
< 0.1%
372 1
< 0.1%
369 1
< 0.1%
332 1
< 0.1%
299 1
< 0.1%
298 1
< 0.1%
250 1
< 0.1%
240 1
< 0.1%
232 1
< 0.1%

가구수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct22
Distinct (%)2.8%
Missing3994
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean3.9024081
Minimum0
Maximum360
Zeros78
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-04-13T21:57:09.306153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile11
Maximum360
Range360
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.362264
Coefficient of variation (CV)3.4241074
Kurtosis642.9487
Mean3.9024081
Median Absolute Deviation (MAD)2
Skewness24.285927
Sum3079
Variance178.55011
MonotonicityNot monotonic
2024-04-13T21:57:09.677051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 218
 
4.6%
3 112
 
2.3%
4 104
 
2.2%
2 90
 
1.9%
0 78
 
1.6%
5 53
 
1.1%
6 36
 
0.8%
8 16
 
0.3%
7 16
 
0.3%
9 14
 
0.3%
Other values (12) 52
 
1.1%
(Missing) 3994
83.5%
ValueCountFrequency (%)
0 78
 
1.6%
1 218
4.6%
2 90
1.9%
3 112
2.3%
4 104
2.2%
5 53
 
1.1%
6 36
 
0.8%
7 16
 
0.3%
8 16
 
0.3%
9 14
 
0.3%
ValueCountFrequency (%)
360 1
 
< 0.1%
74 1
 
< 0.1%
21 1
 
< 0.1%
19 1
 
< 0.1%
18 5
0.1%
17 2
 
< 0.1%
16 3
 
0.1%
14 1
 
< 0.1%
13 8
0.2%
12 10
0.2%

Sample

건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(백분율)용적률(백분율)구조허가일최종설계변경일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수승강기합주용도부속용도용도지역용도지구용도구역총주차장면적(미터)세대수호수가구수
0용도변경서울특별시 강남구 대치동 1009-52497.1908.8711637.27<NA>36.4291.06철근콘크리트구조2024-03-27<NA><NA>2024-04-029339.211업무시설근린생활시설, 교육연구시설제3종일반주거지역<NA><NA>95<NA><NA><NA>
1용도변경서울특별시 강남구 신사동 624-18279.5163.64727.16<NA>58.5474162.7156철근콘크리트구조2024-03-27<NA><NA>2024-04-034112.810제1종근린생활시설근린생활시설도시지역<NA><NA>7<NA>11<NA>
2용도변경서울특별시 강남구 삼성동 141-26 외1필지1571.9920.5118913.62<NA>58.5603799.7487철근콘크리트구조2024-03-15<NA><NA>2024-03-1515572.7514업무시설(사무소), 근린생활시설가로구역별최고높이제한지역대공방어협조구역지구단위계획구역64<NA><NA><NA>
3용도변경서울특별시 강남구 역삼동 708-201277.9766.2714060.01<NA>59.96702.24철근콘크리트구조2024-03-11<NA><NA>2024-03-2714542.1912제1종근린생활시설오피스텔, 근린생활시설, 운동시설가로구역별최고높이제한지역대공방어협조구역지구단위계획구역63<NA><NA><NA>
4용도변경서울특별시 강남구 수서동 717-6517.2310.242520.78<NA>59.98330.39철근콘크리트구조2024-02-27<NA><NA>2024-03-117223.5511업무시설<NA>일반상업지역<NA>지구단위계획구역25<NA><NA><NA>
5용도변경서울특별시 강남구 역삼동 649-10942.1561.212341.01<NA>59.569834.0442철골철근콘크리트구조2024-02-23<NA><NA>2024-03-2715666.2512업무시설업무시설,근린생활시설가로구역별최고높이제한지역대공방어협조구역지구단위계획구역69<NA><NA><NA>
6용도변경서울특별시 강남구 신사동 550-21166.599.24313.03<NA>59.6188.01철근콘크리트구조2024-02-16<NA><NA>2024-02-205<NA>14.51<NA>제2종근린생활시설<NA>상대보호구역대공방어협조구역<NA>4<NA><NA><NA>
7용도변경서울특별시 강남구 역삼동 649-3495.7329.122650.92<NA>66.39384.56철근콘크리트구조2024-02-15<NA><NA>2024-02-19720.010교육연구시설교육연구시설, 근린생활시설일반상업지역<NA>지구단위계획구역0<NA><NA><NA>
8용도변경서울특별시 강남구 역삼동 668-16562.1279.412088.6<NA>49.71249.51철근콘크리트구조2024-02-08<NA><NA>2024-03-276224.611업무시설<NA>도시지역<NA><NA>17<NA><NA><NA>
9용도변경서울특별시 강남구 대치동 904-14 외1필지695.6344.53226.08<NA>49.53298.3철근콘크리트구조2024-02-01<NA><NA>2024-02-278227.1711업무시설<NA>상대보호구역대공방어협조구역토지거래계약에관한허가구역26<NA><NA><NA>
건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(백분율)용적률(백분율)구조허가일최종설계변경일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수승강기합주용도부속용도용도지역용도지구용도구역총주차장면적(미터)세대수호수가구수
4773증축서울특별시 강남구 논현동 151-6175.4105.11451.6637.3159.93201.16철근콘크리트구조<NA><NA><NA>2015-01-164112.1110공동주택다세대제3종일반주거지역<NA><NA>44<NA><NA>
4774증축서울특별시 강남구 논현동 173-20205.0122.27574.2426.859.64220.95철근콘크리트구조<NA><NA><NA>2015-01-165116.61<NA>공동주택다세대주택제2종일반주거지역<NA><NA>710<NA><NA>
4775증축서울특별시 강남구 도곡동 450-7228.5133.48526.9661.7558.42226.18기타강구조<NA><NA><NA>2015-01-165<NA>13.711공동주택다세대주택,근린생활시설제2종일반주거지역<NA><NA>57<NA><NA>
4776증축서울특별시 강남구 역삼동 788-25211.0110.98318.9849.8552.6103.69벽돌구조<NA><NA><NA>2015-01-16217.910단독주택다가구주택제3종일반주거지역<NA><NA><NA><NA><NA>6
4777증축서울특별시 강남구 삼성동 114-7192.6115.18481.98112.8159.8250.25기타강구조<NA><NA><NA>2015-01-166<NA>16.210공동주택다세대제3종일반주거지역<NA><NA>47<NA><NA>
4778증축서울특별시 강남구 논현동 251-8304.7178.01840.55110.6658.4214185.5825철근콘크리트구조<NA><NA><NA>2015-01-164111.711공동주택다세대주택도시지역<NA><NA>910<NA><NA>
4779증축서울특별시 강남구 논현동 251-7409.4233.531070.5378.1157.042168.9179철근콘크리트구조<NA><NA><NA>2015-01-164112.111공동주택다세대도시지역<NA><NA>1516<NA><NA>
4780증축서울특별시 강남구 논현동 251-1436.7237.381103.9562.5954.3577164.0142철근콘크리트구조<NA><NA><NA>2015-01-164112.711공동주택다세대주택도시지역<NA><NA>1616<NA><NA>
4781증축서울특별시 강남구 도곡동 902-78109.064.02219.3325.3958.73147.85경량철골구조<NA><NA><NA>2015-01-16319.510단독주택다가구주택제3종일반주거지역<NA><NA><NA><NA><NA>5
4782증축서울특별시 강남구 개포동 660-32217.4130.0513.9288.1659.7976236.3937철근콘크리트구조<NA><NA><NA>2015-01-165<NA>13.21<NA>공동주택다세대주택/근린생활시설제2종일반주거지역<NA>제1종지구단위계획구역7111<NA>

Duplicate rows

Most frequently occurring

건축구분대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(백분율)용적률(백분율)구조허가일최종설계변경일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수승강기합주용도부속용도용도지역용도지구용도구역총주차장면적(미터)세대수호수가구수# duplicates
0대수선서울특별시 강남구 청담동 62-24337.6128.65643.25<NA>38.11152.43철근콘크리트구조2016-12-21<NA>2016-12-232019-12-204112.410제1종근린생활시설주거시설, 근린생활시설도시지역일반미관지구<NA>4<NA><NA>12
1신축서울특별시 강남구 세곡동 416-23426.0212.74400.15<NA>49.93993.931철근콘크리트구조2015-02-252015-04-022015-03-092015-07-24209.291<NA>단독주택다가구주택제1종전용주거지역<NA>상대보호구역6<NA><NA>32
2신축서울특별시 강남구 일원동 741-3764.0458.381994.62<NA>59.9974199.9241철근콘크리트구조2020-11-19<NA>2021-01-122022-03-244119.411교육연구시설도서관상대보호구역대공방어협조구역지구단위계획구역8<NA><NA><NA>2