Overview

Dataset statistics

Number of variables46
Number of observations295
Missing cells3988
Missing cells (%)29.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory113.9 KiB
Average record size in memory395.4 B

Variable types

Categorical14
Text3
Numeric21
DateTime7
Unsupported1

Dataset

Description2023.9.16.. 대지위치, 건축규모, 건축 용도 등 건축의 허가에 대한 전반적인 사항을 정리해둔 현황 엑셀표 입니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/3043708/fileData.do

Alerts

지목 is highly imbalanced (87.2%)Imbalance
취소구분 is highly imbalanced (85.7%)Imbalance
용도지구 is highly imbalanced (63.1%)Imbalance
기계식옥외주차장(대) is highly imbalanced (92.7%)Imbalance
인근자주식주차장(대) is highly imbalanced (93.8%)Imbalance
인근기계식주차장(대) is highly imbalanced (96.7%)Imbalance
가구수 is highly imbalanced (71.7%)Imbalance
부속건축물수 is highly imbalanced (90.5%)Imbalance
증축연면적(m2) has 274 (92.9%) missing valuesMissing
허가취소일 has 289 (98.0%) missing valuesMissing
최종설계변경일 has 270 (91.5%) missing valuesMissing
착공처리일 has 190 (64.4%) missing valuesMissing
착공예정일 has 190 (64.4%) missing valuesMissing
실제착공일 has 227 (76.9%) missing valuesMissing
임시사용승인기간 has 295 (100.0%) missing valuesMissing
사용승인일 has 218 (73.9%) missing valuesMissing
최대지하층수 has 107 (36.3%) missing valuesMissing
승강기합 has 63 (21.4%) missing valuesMissing
비상승강기합 has 258 (87.5%) missing valuesMissing
하수처리시설용량(m3) has 211 (71.5%) missing valuesMissing
부속용도 has 86 (29.2%) missing valuesMissing
자주식옥내주차장(대) has 201 (68.1%) missing valuesMissing
자주식옥외주차장(대) has 188 (63.7%) missing valuesMissing
기계식옥내주차장(대) has 251 (85.1%) missing valuesMissing
총주차대수 has 86 (29.2%) missing valuesMissing
총주차장면적(m2) has 86 (29.2%) missing valuesMissing
세대수 has 246 (83.4%) missing valuesMissing
호수 has 242 (82.0%) missing valuesMissing
주건축물수 has 8 (2.7%) missing valuesMissing
허가번호 has unique valuesUnique
임시사용승인기간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최대지하층수 has 68 (23.1%) zerosZeros
최고높이(m) has 42 (14.2%) zerosZeros
동수 has 8 (2.7%) zerosZeros
승강기합 has 115 (39.0%) zerosZeros
비상승강기합 has 3 (1.0%) zerosZeros
총주차대수 has 35 (11.9%) zerosZeros
총주차장면적(m2) has 61 (20.7%) zerosZeros
세대수 has 3 (1.0%) zerosZeros

Reproduction

Analysis started2023-12-12 18:29:06.481093
Analysis finished2023-12-12 18:29:07.108240
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
용도변경
150 
신축
109 
증축
21 
대수선
 
15

Length

Max length4
Median length4
Mean length3.0677966
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용도변경 150
50.8%
신축 109
36.9%
증축 21
 
7.1%
대수선 15
 
5.1%

Length

2023-12-13T03:29:07.198809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:07.347301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용도변경 150
50.8%
신축 109
36.9%
증축 21
 
7.1%
대수선 15
 
5.1%

허가번호
Text

UNIQUE 

Distinct295
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:29:07.593472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length16.877966
Min length15

Characters and Unicode

Total characters4979
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)100.0%

Sample

1st row2023-건축과-신축허가-24
2nd row2023-건축과-용도변경허가-28
3rd row2023-건축과-용도변경허가-27
4th row2023-건축과-공용건축물-4
5th row2023-건축과-용도변경허가-26
ValueCountFrequency (%)
2023-건축과-신축허가-24 1
 
0.3%
2022-건축과-용도변경허가-5 1
 
0.3%
2022-건축과-용도변경허가-22 1
 
0.3%
2022-건축과-용도변경허가-21 1
 
0.3%
2022-건축과-신축허가-8 1
 
0.3%
2022-건축과-용도변경허가-23 1
 
0.3%
2022-건축과-용도변경허가-25 1
 
0.3%
2022-건축과-용도변경허가-24 1
 
0.3%
2022-건축과-신축허가-9 1
 
0.3%
2022-건축과-신축허가-10 1
 
0.3%
Other values (285) 285
96.6%
2023-12-13T03:29:08.051135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 885
17.8%
2 818
16.4%
축 424
8.5%
0 321
 
6.4%
건 308
 
6.2%
과 294
 
5.9%
허 282
 
5.7%
가 282
 
5.7%
용 159
 
3.2%
경 150
 
3.0%
Other values (27) 1056
21.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2398
48.2%
Decimal Number 1694
34.0%
Dash Punctuation 885
 
17.8%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 424
17.7%
건 308
12.8%
과 294
12.3%
허 282
11.8%
가 282
11.8%
용 159
 
6.6%
경 150
 
6.3%
변 150
 
6.3%
도 150
 
6.3%
신 100
 
4.2%
Other values (14) 99
 
4.1%
Decimal Number
ValueCountFrequency (%)
2 818
48.3%
0 321
 
18.9%
1 145
 
8.6%
3 116
 
6.8%
8 59
 
3.5%
4 53
 
3.1%
7 53
 
3.1%
5 45
 
2.7%
9 43
 
2.5%
6 41
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 885
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2581
51.8%
Hangul 2398
48.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 424
17.7%
건 308
12.8%
과 294
12.3%
허 282
11.8%
가 282
11.8%
용 159
 
6.6%
경 150
 
6.3%
변 150
 
6.3%
도 150
 
6.3%
신 100
 
4.2%
Other values (14) 99
 
4.1%
Common
ValueCountFrequency (%)
- 885
34.3%
2 818
31.7%
0 321
 
12.4%
1 145
 
5.6%
3 116
 
4.5%
8 59
 
2.3%
4 53
 
2.1%
7 53
 
2.1%
5 45
 
1.7%
9 43
 
1.7%
Other values (3) 43
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2581
51.8%
Hangul 2398
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 885
34.3%
2 818
31.7%
0 321
 
12.4%
1 145
 
5.6%
3 116
 
4.5%
8 59
 
2.3%
4 53
 
2.1%
7 53
 
2.1%
5 45
 
1.7%
9 43
 
1.7%
Other values (3) 43
 
1.7%
Hangul
ValueCountFrequency (%)
축 424
17.7%
건 308
12.8%
과 294
12.3%
허 282
11.8%
가 282
11.8%
용 159
 
6.6%
경 150
 
6.3%
변 150
 
6.3%
도 150
 
6.3%
신 100
 
4.2%
Other values (14) 99
 
4.1%

대지위치
Text

Distinct284
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:29:08.644122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length20.871186
Min length17

Characters and Unicode

Total characters6157
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)93.6%

Sample

1st row부산광역시 연제구 거제동 867-43
2nd row부산광역시 연제구 연산동 635-2
3rd row부산광역시 연제구 연산동 791-26
4th row부산광역시 연제구 거제동 419-2 외88필지
5th row부산광역시 연제구 연산동 1499-9
ValueCountFrequency (%)
부산광역시 295
23.7%
연제구 295
23.7%
연산동 218
17.5%
거제동 77
 
6.2%
외1필지 33
 
2.7%
외2필지 12
 
1.0%
외3필지 6
 
0.5%
603-7 4
 
0.3%
1362-8 3
 
0.2%
외5필지 3
 
0.2%
Other values (287) 297
23.9%
2023-12-13T03:29:09.251408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
948
15.4%
연 513
 
8.3%
산 513
 
8.3%
제 372
 
6.0%
1 315
 
5.1%
부 295
 
4.8%
광 295
 
4.8%
역 295
 
4.8%
시 295
 
4.8%
구 295
 
4.8%
Other values (15) 2021
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3434
55.8%
Decimal Number 1491
24.2%
Space Separator 948
 
15.4%
Dash Punctuation 284
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 513
14.9%
산 513
14.9%
제 372
10.8%
부 295
8.6%
광 295
8.6%
역 295
8.6%
시 295
8.6%
구 295
8.6%
동 295
8.6%
거 77
 
2.2%
Other values (3) 189
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 315
21.1%
2 184
12.3%
3 154
10.3%
4 145
9.7%
7 128
8.6%
6 126
 
8.5%
8 121
 
8.1%
0 110
 
7.4%
5 104
 
7.0%
9 104
 
7.0%
Space Separator
ValueCountFrequency (%)
948
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3434
55.8%
Common 2723
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 513
14.9%
산 513
14.9%
제 372
10.8%
부 295
8.6%
광 295
8.6%
역 295
8.6%
시 295
8.6%
구 295
8.6%
동 295
8.6%
거 77
 
2.2%
Other values (3) 189
 
5.5%
Common
ValueCountFrequency (%)
948
34.8%
1 315
 
11.6%
- 284
 
10.4%
2 184
 
6.8%
3 154
 
5.7%
4 145
 
5.3%
7 128
 
4.7%
6 126
 
4.6%
8 121
 
4.4%
0 110
 
4.0%
Other values (2) 208
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3434
55.8%
ASCII 2723
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
948
34.8%
1 315
 
11.6%
- 284
 
10.4%
2 184
 
6.8%
3 154
 
5.7%
4 145
 
5.3%
7 128
 
4.7%
6 126
 
4.6%
8 121
 
4.4%
0 110
 
4.0%
Other values (2) 208
 
7.6%
Hangul
ValueCountFrequency (%)
연 513
14.9%
산 513
14.9%
제 372
10.8%
부 295
8.6%
광 295
8.6%
역 295
8.6%
시 295
8.6%
구 295
8.6%
동 295
8.6%
거 77
 
2.2%
Other values (3) 189
 
5.5%

지목
Categorical

IMBALANCE 

Distinct9
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
대
281 
종교용지
 
4
주차장
 
3
공장용지
 
2
철도용지
 
1
Other values (4)
 
4

Length

Max length5
Median length1
Mean length1.1220339
Min length1

Unique

Unique5 ?
Unique (%)1.7%

Sample

1st row대
2nd row대
3rd row대
4th row철도용지
5th row대

Common Values

ValueCountFrequency (%)
대 281
95.3%
종교용지 4
 
1.4%
주차장 3
 
1.0%
공장용지 2
 
0.7%
철도용지 1
 
0.3%
주유소용지 1
 
0.3%
공원 1
 
0.3%
임야 1
 
0.3%
학교용지 1
 
0.3%

Length

2023-12-13T03:29:09.466520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:09.645943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 281
95.3%
종교용지 4
 
1.4%
주차장 3
 
1.0%
공장용지 2
 
0.7%
철도용지 1
 
0.3%
주유소용지 1
 
0.3%
공원 1
 
0.3%
임야 1
 
0.3%
학교용지 1
 
0.3%

대지면적(m2)
Real number (ℝ)

Distinct275
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1372.2849
Minimum37.3
Maximum141737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:09.826278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.3
5-th percentile91.12
Q1142.6
median236.2
Q3643.3
95-th percentile4560
Maximum141737
Range141699.7
Interquartile range (IQR)500.7

Descriptive statistics

Standard deviation8479.6851
Coefficient of variation (CV)6.1792451
Kurtosis257.7742
Mean1372.2849
Median Absolute Deviation (MAD)118.96
Skewness15.619512
Sum404824.06
Variance71905059
MonotonicityNot monotonic
2023-12-13T03:29:10.043054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4560.0 4
 
1.4%
83.0 3
 
1.0%
145.1 2
 
0.7%
280.0 2
 
0.7%
156.0 2
 
0.7%
1098.0 2
 
0.7%
276.5 2
 
0.7%
126.0 2
 
0.7%
138.2 2
 
0.7%
149.8 2
 
0.7%
Other values (265) 272
92.2%
ValueCountFrequency (%)
37.3 1
0.3%
38.4 1
0.3%
40.0 1
0.3%
49.9 1
0.3%
63.0 1
0.3%
69.0 1
0.3%
73.0 1
0.3%
74.4 1
0.3%
74.7 1
0.3%
79.7 1
0.3%
ValueCountFrequency (%)
141737.0 1
0.3%
19789.7 1
0.3%
18392.0 1
0.3%
16346.0 1
0.3%
9006.76 1
0.3%
7656.0 1
0.3%
5592.0 2
0.7%
5423.0 1
0.3%
5236.5 1
0.3%
4685.0 1
0.3%

건축면적(m2)
Real number (ℝ)

Distinct279
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean537.4931
Minimum1
Maximum23369.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:10.232398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile53.827
Q183.875
median132.2
Q3372.68
95-th percentile2527.446
Maximum23369.63
Range23368.63
Interquartile range (IQR)288.805

Descriptive statistics

Standard deviation1742.717
Coefficient of variation (CV)3.2423058
Kurtosis109.45916
Mean537.4931
Median Absolute Deviation (MAD)64
Skewness9.4492866
Sum158560.47
Variance3037062.6
MonotonicityNot monotonic
2023-12-13T03:29:10.410007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3202.58 4
 
1.4%
206.76 3
 
1.0%
66.12 3
 
1.0%
321.0 2
 
0.7%
115.7 2
 
0.7%
29.75 2
 
0.7%
89.52 2
 
0.7%
3118.26 2
 
0.7%
1188.88 2
 
0.7%
49.59 2
 
0.7%
Other values (269) 271
91.9%
ValueCountFrequency (%)
1.0 1
0.3%
21.95 1
0.3%
29.75 2
0.7%
29.83 1
0.3%
37.14 1
0.3%
45.9 1
0.3%
46.61 1
0.3%
47.32 1
0.3%
47.93 1
0.3%
48.59 1
0.3%
ValueCountFrequency (%)
23369.63 1
 
0.3%
11798.91 1
 
0.3%
10611.79 1
 
0.3%
4246.49 1
 
0.3%
3349.2 1
 
0.3%
3342.61 1
 
0.3%
3202.58 4
1.4%
3138.54 1
 
0.3%
3118.26 2
0.7%
2706.6263 1
 
0.3%

연면적(m2)
Real number (ℝ)

Distinct285
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4114.4852
Minimum38.63
Maximum76526.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:10.605523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.63
5-th percentile80.95
Q1159.435
median489.45
Q31724.73
95-th percentile29221.678
Maximum76526.67
Range76488.04
Interquartile range (IQR)1565.295

Descriptive statistics

Standard deviation11401.774
Coefficient of variation (CV)2.7711302
Kurtosis17.237345
Mean4114.4852
Median Absolute Deviation (MAD)360.34
Skewness4.0941285
Sum1213773.1
Variance1.3000046 × 108
MonotonicityNot monotonic
2023-12-13T03:29:10.793380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37308.63 4
 
1.4%
621.93 2
 
0.7%
3276.02 2
 
0.7%
59.5 2
 
0.7%
56293.45 2
 
0.7%
659.79 2
 
0.7%
15277.33 2
 
0.7%
127.74 2
 
0.7%
420.28 1
 
0.3%
647.24 1
 
0.3%
Other values (275) 275
93.2%
ValueCountFrequency (%)
38.63 1
0.3%
46.61 1
0.3%
48.64 1
0.3%
49.59 1
0.3%
54.79 1
0.3%
56.19 1
0.3%
58.47 1
0.3%
59.5 2
0.7%
60.355 1
0.3%
66.12 1
0.3%
ValueCountFrequency (%)
76526.67 1
 
0.3%
67085.2608 1
 
0.3%
63053.79 1
 
0.3%
60453.51 1
 
0.3%
56293.45 2
0.7%
49922.46 1
 
0.3%
49657.64 1
 
0.3%
43431.68 1
 
0.3%
37317.3611 1
 
0.3%
37308.63 4
1.4%

증축연면적(m2)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing274
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean318.84619
Minimum-93.87
Maximum2562.26
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.3%
Memory size2.7 KiB
2023-12-13T03:29:10.945660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-93.87
5-th percentile5.81
Q113.35
median89.92
Q3363.9
95-th percentile1072.4
Maximum2562.26
Range2656.13
Interquartile range (IQR)350.55

Descriptive statistics

Standard deviation593.25661
Coefficient of variation (CV)1.8606357
Kurtosis10.559664
Mean318.84619
Median Absolute Deviation (MAD)83.92
Skewness3.0373663
Sum6695.77
Variance351953.41
MonotonicityNot monotonic
2023-12-13T03:29:11.101876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
476.78 1
 
0.3%
9.95 1
 
0.3%
26.58 1
 
0.3%
92.25 1
 
0.3%
2562.26 1
 
0.3%
21.96 1
 
0.3%
31.03 1
 
0.3%
684.59 1
 
0.3%
162.84 1
 
0.3%
34.53 1
 
0.3%
Other values (11) 11
 
3.7%
(Missing) 274
92.9%
ValueCountFrequency (%)
-93.87 1
0.3%
5.81 1
0.3%
6.0 1
0.3%
6.63 1
0.3%
9.95 1
0.3%
13.35 1
0.3%
21.96 1
0.3%
26.58 1
0.3%
31.03 1
0.3%
34.53 1
0.3%
ValueCountFrequency (%)
2562.26 1
0.3%
1072.4 1
0.3%
691.72 1
0.3%
684.59 1
0.3%
476.78 1
0.3%
363.9 1
0.3%
237.06 1
0.3%
200.08 1
0.3%
162.84 1
0.3%
92.25 1
0.3%

건폐율(퍼센트)
Real number (ℝ)

Distinct263
Distinct (%)89.5%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean57.440706
Minimum0.066
Maximum92.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:11.275252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.066
5-th percentile32.304
Q153.381925
median58.845
Q359.9061
95-th percentile78.735
Maximum92.55
Range92.484
Interquartile range (IQR)6.524175

Descriptive statistics

Standard deviation13.087214
Coefficient of variation (CV)0.22783866
Kurtosis3.3841578
Mean57.440706
Median Absolute Deviation (MAD)3.26
Skewness-0.86989828
Sum16887.568
Variance171.27516
MonotonicityNot monotonic
2023-12-13T03:29:11.513178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.58 4
 
1.4%
59.94 3
 
1.0%
59.46 3
 
1.0%
59.97 2
 
0.7%
58.11 2
 
0.7%
52.52 2
 
0.7%
59.93 2
 
0.7%
70.23 2
 
0.7%
54.22 2
 
0.7%
58.7 2
 
0.7%
Other values (253) 270
91.5%
ValueCountFrequency (%)
0.066 1
0.3%
5.13 1
0.3%
7.52 1
0.3%
14.59 1
0.3%
16.488 1
0.3%
19.53 1
0.3%
20.6869 1
0.3%
23.66 1
0.3%
26.07 1
0.3%
26.61 1
0.3%
ValueCountFrequency (%)
92.55 1
0.3%
89.6377 1
0.3%
89.21 1
0.3%
88.51 1
0.3%
87.45 1
0.3%
86.35 1
0.3%
84.0 1
0.3%
80.09 1
0.3%
79.98 1
0.3%
79.92 2
0.7%

용적률(퍼센트)
Real number (ℝ)

Distinct285
Distinct (%)96.9%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean246.99585
Minimum0.07
Maximum1192.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:11.702779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile50.493
Q1101.8375
median167.395
Q3279.39
95-th percentile821.9105
Maximum1192.86
Range1192.79
Interquartile range (IQR)177.5525

Descriptive statistics

Standard deviation240.14269
Coefficient of variation (CV)0.97225394
Kurtosis4.2320588
Mean246.99585
Median Absolute Deviation (MAD)70.64
Skewness2.1129349
Sum72616.78
Variance57668.511
MonotonicityNot monotonic
2023-12-13T03:29:11.893694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
587.45 4
 
1.4%
105.06 2
 
0.7%
421.13 2
 
0.7%
718.93 2
 
0.7%
1026.98 2
 
0.7%
82.23 2
 
0.7%
95.62 2
 
0.7%
184.29 1
 
0.3%
86.41 1
 
0.3%
97.33 1
 
0.3%
Other values (275) 275
93.2%
ValueCountFrequency (%)
0.07 1
0.3%
7.2 1
0.3%
12.47 1
0.3%
17.9 1
0.3%
21.1 1
0.3%
28.49 1
0.3%
30.74 1
0.3%
31.98 1
0.3%
33.66 1
0.3%
35.49 1
0.3%
ValueCountFrequency (%)
1192.86 1
0.3%
1191.97 1
0.3%
1149.21 1
0.3%
1148.46 1
0.3%
1110.32 1
0.3%
1026.98 2
0.7%
1014.01 1
0.3%
994.9 1
0.3%
985.68 1
0.3%
948.39 1
0.3%

구조
Categorical

Distinct12
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
철근콘크리트구조
165 
블록구조
54 
일반철골구조
23 
<NA>
17 
벽돌구조
 
16
Other values (7)
20 

Length

Max length11
Median length8
Mean length6.6135593
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 165
55.9%
블록구조 54
 
18.3%
일반철골구조 23
 
7.8%
<NA> 17
 
5.8%
벽돌구조 16
 
5.4%
기타조적구조 5
 
1.7%
경량철골구조 4
 
1.4%
철골철근콘크리트구조 4
 
1.4%
철골콘크리트구조 3
 
1.0%
일반목구조 2
 
0.7%
Other values (2) 2
 
0.7%

Length

2023-12-13T03:29:12.086021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 165
55.9%
블록구조 54
 
18.3%
일반철골구조 23
 
7.8%
na 17
 
5.8%
벽돌구조 16
 
5.4%
기타조적구조 5
 
1.7%
경량철골구조 4
 
1.4%
철골철근콘크리트구조 4
 
1.4%
철골콘크리트구조 3
 
1.0%
일반목구조 2
 
0.7%
Other values (2) 2
 
0.7%

취소구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
미취소
289 
취소
 
6

Length

Max length3
Median length3
Mean length2.979661
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미취소 289
98.0%
취소 6
 
2.0%

Length

2023-12-13T03:29:12.260555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:12.383991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미취소 289
98.0%
취소 6
 
2.0%

허가취소일
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing289
Missing (%)98.0%
Memory size2.4 KiB
Minimum2022-01-18 00:00:00
Maximum2023-08-24 00:00:00
2023-12-13T03:29:12.507697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:12.649825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

허가일
Date

Distinct210
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2021-09-16 00:00:00
Maximum2023-09-11 00:00:00
2023-12-13T03:29:12.809528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:13.369454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종설계변경일
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing270
Missing (%)91.5%
Memory size2.4 KiB
Minimum2021-11-01 00:00:00
Maximum2023-09-06 00:00:00
2023-12-13T03:29:13.529768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:13.673470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

착공처리일
Date

MISSING 

Distinct92
Distinct (%)87.6%
Missing190
Missing (%)64.4%
Memory size2.4 KiB
Minimum2021-09-27 00:00:00
Maximum2023-09-07 00:00:00
2023-12-13T03:29:13.854350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:14.065810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공예정일
Date

MISSING 

Distinct86
Distinct (%)81.9%
Missing190
Missing (%)64.4%
Memory size2.4 KiB
Minimum2021-09-27 00:00:00
Maximum2023-09-08 00:00:00
2023-12-13T03:29:14.248473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:14.431570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

실제착공일
Date

MISSING 

Distinct56
Distinct (%)82.4%
Missing227
Missing (%)76.9%
Memory size2.4 KiB
Minimum2021-09-27 00:00:00
Maximum2023-08-12 00:00:00
2023-12-13T03:29:14.623623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:14.826301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

임시사용승인기간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

사용승인일
Date

MISSING 

Distinct71
Distinct (%)92.2%
Missing218
Missing (%)73.9%
Memory size2.4 KiB
Minimum2021-10-22 00:00:00
Maximum2023-09-06 00:00:00
2023-12-13T03:29:15.031415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:15.231249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct26
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4305085
Minimum0
Maximum29
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:15.420782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile19.3
Maximum29
Range29
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.7564886
Coefficient of variation (CV)1.0600276
Kurtosis5.8622561
Mean5.4305085
Median Absolute Deviation (MAD)2
Skewness2.4362596
Sum1602
Variance33.137161
MonotonicityNot monotonic
2023-12-13T03:29:15.612512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2 93
31.5%
5 46
15.6%
4 38
12.9%
3 32
 
10.8%
1 17
 
5.8%
7 8
 
2.7%
9 7
 
2.4%
6 7
 
2.4%
15 7
 
2.4%
8 6
 
2.0%
Other values (16) 34
 
11.5%
ValueCountFrequency (%)
0 2
 
0.7%
1 17
 
5.8%
2 93
31.5%
3 32
 
10.8%
4 38
12.9%
5 46
15.6%
6 7
 
2.4%
7 8
 
2.7%
8 6
 
2.0%
9 7
 
2.4%
ValueCountFrequency (%)
29 4
1.4%
28 1
 
0.3%
26 3
1.0%
25 1
 
0.3%
24 1
 
0.3%
23 1
 
0.3%
22 1
 
0.3%
20 3
1.0%
19 1
 
0.3%
18 1
 
0.3%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.7%
Missing107
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean1.0531915
Minimum0
Maximum7
Zeros68
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:15.772441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2268565
Coefficient of variation (CV)1.1648941
Kurtosis4.4007865
Mean1.0531915
Median Absolute Deviation (MAD)1
Skewness1.8822234
Sum198
Variance1.5051769
MonotonicityNot monotonic
2023-12-13T03:29:15.933962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 80
27.1%
0 68
23.1%
2 21
 
7.1%
3 8
 
2.7%
5 5
 
1.7%
4 5
 
1.7%
7 1
 
0.3%
(Missing) 107
36.3%
ValueCountFrequency (%)
0 68
23.1%
1 80
27.1%
2 21
 
7.1%
3 8
 
2.7%
4 5
 
1.7%
5 5
 
1.7%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
5 5
 
1.7%
4 5
 
1.7%
3 8
 
2.7%
2 21
 
7.1%
1 80
27.1%
0 68
23.1%

최고높이(m)
Real number (ℝ)

ZEROS 

Distinct193
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.398905
Minimum0
Maximum124.15
Zeros42
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:16.129048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median13.6
Q322.215
95-th percentile74.85
Maximum124.15
Range124.15
Interquartile range (IQR)15.465

Descriptive statistics

Standard deviation22.100806
Coefficient of variation (CV)1.1392811
Kurtosis4.1050654
Mean19.398905
Median Absolute Deviation (MAD)7.2
Skewness2.0494357
Sum5722.677
Variance488.44563
MonotonicityNot monotonic
2023-12-13T03:29:16.349451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
14.2%
6.6 5
 
1.7%
91.0 4
 
1.4%
14.6 4
 
1.4%
6.0 4
 
1.4%
7.3 4
 
1.4%
7.0 4
 
1.4%
7.4 3
 
1.0%
7.2 3
 
1.0%
8.2 3
 
1.0%
Other values (183) 219
74.2%
ValueCountFrequency (%)
0.0 42
14.2%
2.6 1
 
0.3%
2.9 1
 
0.3%
3.0 1
 
0.3%
3.4 2
 
0.7%
3.5 1
 
0.3%
3.6 1
 
0.3%
3.7 1
 
0.3%
3.9 1
 
0.3%
4.2 1
 
0.3%
ValueCountFrequency (%)
124.15 1
 
0.3%
97.6 1
 
0.3%
93.75 1
 
0.3%
91.0 4
1.4%
90.5 1
 
0.3%
88.55 1
 
0.3%
82.8 1
 
0.3%
82.2 1
 
0.3%
80.3 1
 
0.3%
80.05 1
 
0.3%

동수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2915254
Minimum0
Maximum36
Zeros8
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:16.536875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3012336
Coefficient of variation (CV)1.7817951
Kurtosis181.04034
Mean1.2915254
Median Absolute Deviation (MAD)0
Skewness12.632345
Sum381
Variance5.2956762
MonotonicityNot monotonic
2023-12-13T03:29:16.707212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 260
88.1%
2 18
 
6.1%
0 8
 
2.7%
3 3
 
1.0%
14 1
 
0.3%
11 1
 
0.3%
6 1
 
0.3%
36 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
ValueCountFrequency (%)
0 8
 
2.7%
1 260
88.1%
2 18
 
6.1%
3 3
 
1.0%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
11 1
 
0.3%
14 1
 
0.3%
36 1
 
0.3%
ValueCountFrequency (%)
36 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
3 3
 
1.0%
2 18
 
6.1%
1 260
88.1%
0 8
 
2.7%

승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.9%
Missing63
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.95258621
Minimum0
Maximum10
Zeros115
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:16.874799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6909211
Coefficient of variation (CV)1.7750846
Kurtosis11.17492
Mean0.95258621
Median Absolute Deviation (MAD)1
Skewness3.2126145
Sum221
Variance2.8592141
MonotonicityNot monotonic
2023-12-13T03:29:17.040919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 115
39.0%
1 83
28.1%
2 17
 
5.8%
8 7
 
2.4%
4 5
 
1.7%
3 2
 
0.7%
10 1
 
0.3%
7 1
 
0.3%
5 1
 
0.3%
(Missing) 63
21.4%
ValueCountFrequency (%)
0 115
39.0%
1 83
28.1%
2 17
 
5.8%
3 2
 
0.7%
4 5
 
1.7%
5 1
 
0.3%
7 1
 
0.3%
8 7
 
2.4%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
8 7
 
2.4%
7 1
 
0.3%
5 1
 
0.3%
4 5
 
1.7%
3 2
 
0.7%
2 17
 
5.8%
1 83
28.1%
0 115
39.0%

비상승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)18.9%
Missing258
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum8
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:17.194122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile7.2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9436506
Coefficient of variation (CV)0.97182532
Kurtosis4.3308395
Mean2
Median Absolute Deviation (MAD)1
Skewness2.1115943
Sum74
Variance3.7777778
MonotonicityNot monotonic
2023-12-13T03:29:17.362439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 18
 
6.1%
2 7
 
2.4%
3 5
 
1.7%
0 3
 
1.0%
8 2
 
0.7%
4 1
 
0.3%
7 1
 
0.3%
(Missing) 258
87.5%
ValueCountFrequency (%)
0 3
 
1.0%
1 18
6.1%
2 7
 
2.4%
3 5
 
1.7%
4 1
 
0.3%
7 1
 
0.3%
8 2
 
0.7%
ValueCountFrequency (%)
8 2
 
0.7%
7 1
 
0.3%
4 1
 
0.3%
3 5
 
1.7%
2 7
 
2.4%
1 18
6.1%
0 3
 
1.0%

하수처리시설명
Categorical

Distinct9
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
하수종말처리장연결
153 
부패탱크방법
97 
<NA>
19 
접촉산화방법
 
8
기타단독정화조
 
6
Other values (4)
 
12

Length

Max length9
Median length9
Mean length7.4474576
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row하수종말처리장연결
2nd row부패탱크방법
3rd row부패탱크방법
4th row하수종말처리장연결
5th row하수종말처리장연결

Common Values

ValueCountFrequency (%)
하수종말처리장연결 153
51.9%
부패탱크방법 97
32.9%
<NA> 19
 
6.4%
접촉산화방법 8
 
2.7%
기타단독정화조 6
 
2.0%
장기폭기방법 4
 
1.4%
접촉폭기방법 4
 
1.4%
단독정화조 3
 
1.0%
마을하수처리장연결 1
 
0.3%

Length

2023-12-13T03:29:17.567636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:17.746225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하수종말처리장연결 153
51.9%
부패탱크방법 97
32.9%
na 19
 
6.4%
접촉산화방법 8
 
2.7%
기타단독정화조 6
 
2.0%
장기폭기방법 4
 
1.4%
접촉폭기방법 4
 
1.4%
단독정화조 3
 
1.0%
마을하수처리장연결 1
 
0.3%

하수처리시설용량(m3)
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)98.8%
Missing211
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean2494.0404
Minimum0.1719
Maximum189948.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:17.946483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1719
5-th percentile2.32956
Q16.65
median15.4625
Q351.2275
95-th percentile296.72
Maximum189948.69
Range189948.52
Interquartile range (IQR)44.5775

Descriptive statistics

Standard deviation20766.533
Coefficient of variation (CV)8.3264624
Kurtosis82.880953
Mean2494.0404
Median Absolute Deviation (MAD)11.4125
Skewness9.0791291
Sum209499.39
Variance4.3124891 × 108
MonotonicityNot monotonic
2023-12-13T03:29:18.152833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260.0 2
 
0.7%
5.0 1
 
0.3%
6.005 1
 
0.3%
9.52 1
 
0.3%
5.6 1
 
0.3%
7.31 1
 
0.3%
29.9 1
 
0.3%
230.0 1
 
0.3%
12.967 1
 
0.3%
14.44 1
 
0.3%
Other values (73) 73
 
24.7%
(Missing) 211
71.5%
ValueCountFrequency (%)
0.1719 1
0.3%
1.6 1
0.3%
1.916 1
0.3%
2.09 1
0.3%
2.2716 1
0.3%
2.658 1
0.3%
3.19 1
0.3%
3.84 1
0.3%
4.04 1
0.3%
4.06 1
0.3%
ValueCountFrequency (%)
189948.69 1
0.3%
15325.0 1
0.3%
371.5 1
0.3%
340.51 1
0.3%
303.2 1
0.3%
260.0 2
0.7%
246.9 1
0.3%
239.65 1
0.3%
230.0 1
0.3%
173.18 1
0.3%

주용도
Categorical

Distinct17
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
제2종근린생활시설
117 
제1종근린생활시설
63 
공동주택
36 
업무시설
26 
단독주택
21 
Other values (12)
32 

Length

Max length10
Median length9
Mean length7.1423729
Min length2

Unique

Unique5 ?
Unique (%)1.7%

Sample

1st row제2종근린생활시설
2nd row업무시설
3rd row제1종근린생활시설
4th row운수시설
5th row제2종근린생활시설

Common Values

ValueCountFrequency (%)
제2종근린생활시설 117
39.7%
제1종근린생활시설 63
21.4%
공동주택 36
 
12.2%
업무시설 26
 
8.8%
단독주택 21
 
7.1%
판매시설 6
 
2.0%
종교시설 5
 
1.7%
자동차관련시설 5
 
1.7%
교육연구시설 4
 
1.4%
창고시설 3
 
1.0%
Other values (7) 9
 
3.1%

Length

2023-12-13T03:29:18.364208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 117
39.7%
제1종근린생활시설 63
21.4%
공동주택 36
 
12.2%
업무시설 26
 
8.8%
단독주택 21
 
7.1%
판매시설 6
 
2.0%
종교시설 5
 
1.7%
자동차관련시설 5
 
1.7%
교육연구시설 4
 
1.4%
창고시설 3
 
1.0%
Other values (7) 9
 
3.1%

부속용도
Text

MISSING 

Distinct134
Distinct (%)64.1%
Missing86
Missing (%)29.2%
Memory size2.4 KiB
2023-12-13T03:29:18.635886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length10.349282
Min length2

Characters and Unicode

Total characters2163
Distinct characters141
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)54.5%

Sample

1st row업무시설,다세대주택,근린생활시설
2nd row철도역사,운동시설,근린생활시설,어린이집
3rd row사무소, 일반음식점
4th row부설주차장
5th row사무소
ValueCountFrequency (%)
사무소 33
 
12.2%
일반음식점 16
 
5.9%
및 11
 
4.1%
다세대주택 10
 
3.7%
소매점 9
 
3.3%
근린생활시설 8
 
3.0%
단독주택 8
 
3.0%
오피스텔 6
 
2.2%
제2종근린생활시설 5
 
1.8%
휴게음식점 5
 
1.8%
Other values (126) 160
59.0%
2023-12-13T03:29:19.055542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 122
 
5.6%
설 109
 
5.0%
, 107
 
4.9%
소 83
 
3.8%
무 77
 
3.6%
생 74
 
3.4%
주 73
 
3.4%
활 70
 
3.2%
( 67
 
3.1%
점 67
 
3.1%
Other values (131) 1314
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1791
82.8%
Other Punctuation 115
 
5.3%
Open Punctuation 67
 
3.1%
Close Punctuation 66
 
3.1%
Space Separator 62
 
2.9%
Decimal Number 51
 
2.4%
Dash Punctuation 10
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 122
 
6.8%
설 109
 
6.1%
소 83
 
4.6%
무 77
 
4.3%
생 74
 
4.1%
주 73
 
4.1%
활 70
 
3.9%
점 67
 
3.7%
택 65
 
3.6%
린 61
 
3.4%
Other values (119) 990
55.3%
Other Punctuation
ValueCountFrequency (%)
, 107
93.0%
/ 6
 
5.2%
. 1
 
0.9%
: 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 26
51.0%
1 23
45.1%
3 2
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1791
82.8%
Common 372
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 122
 
6.8%
설 109
 
6.1%
소 83
 
4.6%
무 77
 
4.3%
생 74
 
4.1%
주 73
 
4.1%
활 70
 
3.9%
점 67
 
3.7%
택 65
 
3.6%
린 61
 
3.4%
Other values (119) 990
55.3%
Common
ValueCountFrequency (%)
, 107
28.8%
( 67
18.0%
) 66
17.7%
62
16.7%
2 26
 
7.0%
1 23
 
6.2%
- 10
 
2.7%
/ 6
 
1.6%
3 2
 
0.5%
~ 1
 
0.3%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1791
82.8%
ASCII 372
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 122
 
6.8%
설 109
 
6.1%
소 83
 
4.6%
무 77
 
4.3%
생 74
 
4.1%
주 73
 
4.1%
활 70
 
3.9%
점 67
 
3.7%
택 65
 
3.6%
린 61
 
3.4%
Other values (119) 990
55.3%
ASCII
ValueCountFrequency (%)
, 107
28.8%
( 67
18.0%
) 66
17.7%
62
16.7%
2 26
 
7.0%
1 23
 
6.2%
- 10
 
2.7%
/ 6
 
1.6%
3 2
 
0.5%
~ 1
 
0.3%
Other values (2) 2
 
0.5%

용도지역
Categorical

Distinct9
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
제2종일반주거지역
102 
제3종일반주거지역
53 
준주거지역
51 
일반상업지역
49 
가로구역별최고높이제한지역
35 
Other values (4)
 
5

Length

Max length13
Median length9
Mean length8.240678
Min length5

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row제2종일반주거지역
2nd row준주거지역
3rd row제2종일반주거지역
4th row제3종일반주거지역
5th row제3종일반주거지역

Common Values

ValueCountFrequency (%)
제2종일반주거지역 102
34.6%
제3종일반주거지역 53
18.0%
준주거지역 51
17.3%
일반상업지역 49
16.6%
가로구역별최고높이제한지역 35
 
11.9%
자연녹지지역 2
 
0.7%
제1종일반주거지역 1
 
0.3%
준공업지역 1
 
0.3%
일반주거지역 1
 
0.3%

Length

2023-12-13T03:29:19.236985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:19.386391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제2종일반주거지역 102
34.6%
제3종일반주거지역 53
18.0%
준주거지역 51
17.3%
일반상업지역 49
16.6%
가로구역별최고높이제한지역 35
 
11.9%
자연녹지지역 2
 
0.7%
제1종일반주거지역 1
 
0.3%
준공업지역 1
 
0.3%
일반주거지역 1
 
0.3%

용도지구
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
222 
방화지구
57 
철도보호지구
 
8
지적재조사사업지구
 
3
중요시설물보호지구(공용)
 
2
Other values (3)
 
3

Length

Max length13
Median length4
Mean length4.1864407
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
75.3%
방화지구 57
 
19.3%
철도보호지구 8
 
2.7%
지적재조사사업지구 3
 
1.0%
중요시설물보호지구(공용) 2
 
0.7%
중심지미관지구 1
 
0.3%
시가지경관지구 1
 
0.3%
경관지구 1
 
0.3%

Length

2023-12-13T03:29:19.537192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:19.666208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
75.3%
방화지구 57
 
19.3%
철도보호지구 8
 
2.7%
지적재조사사업지구 3
 
1.0%
중요시설물보호지구(공용 2
 
0.7%
중심지미관지구 1
 
0.3%
시가지경관지구 1
 
0.3%
경관지구 1
 
0.3%

용도구역
Categorical

Distinct7
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
188 
학교환경위생정화구역
49 
상대보호구역
25 
지구단위계획구역
20 
역사문화환경보존지역
 
8
Other values (2)
 
5

Length

Max length11
Median length4
Mean length5.6677966
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 188
63.7%
학교환경위생정화구역 49
 
16.6%
상대보호구역 25
 
8.5%
지구단위계획구역 20
 
6.8%
역사문화환경보존지역 8
 
2.7%
절대정화구역 3
 
1.0%
제1종지구단위계획구역 2
 
0.7%

Length

2023-12-13T03:29:19.814844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:19.945931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
63.7%
학교환경위생정화구역 49
 
16.6%
상대보호구역 25
 
8.5%
지구단위계획구역 20
 
6.8%
역사문화환경보존지역 8
 
2.7%
절대정화구역 3
 
1.0%
제1종지구단위계획구역 2
 
0.7%

자주식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)43.6%
Missing201
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean63.255319
Minimum1
Maximum926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:20.092275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median8
Q336.75
95-th percentile300.45
Maximum926
Range925
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation156.52503
Coefficient of variation (CV)2.4744959
Kurtosis19.117247
Mean63.255319
Median Absolute Deviation (MAD)6
Skewness4.1337209
Sum5946
Variance24500.085
MonotonicityNot monotonic
2023-12-13T03:29:20.247664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2 11
 
3.7%
4 11
 
3.7%
1 10
 
3.4%
8 5
 
1.7%
5 5
 
1.7%
210 4
 
1.4%
9 3
 
1.0%
3 3
 
1.0%
6 3
 
1.0%
7 2
 
0.7%
Other values (31) 37
 
12.5%
(Missing) 201
68.1%
ValueCountFrequency (%)
1 10
3.4%
2 11
3.7%
3 3
 
1.0%
4 11
3.7%
5 5
1.7%
6 3
 
1.0%
7 2
 
0.7%
8 5
1.7%
9 3
 
1.0%
10 2
 
0.7%
ValueCountFrequency (%)
926 1
 
0.3%
923 1
 
0.3%
463 1
 
0.3%
440 1
 
0.3%
396 1
 
0.3%
249 1
 
0.3%
210 4
1.4%
208 1
 
0.3%
175 1
 
0.3%
120 1
 
0.3%

자주식옥외주차장(대)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)22.4%
Missing188
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean10.233645
Minimum1
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:20.375749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile30
Maximum195
Range194
Interquartile range (IQR)6

Descriptive statistics

Standard deviation22.960417
Coefficient of variation (CV)2.2436206
Kurtosis42.185319
Mean10.233645
Median Absolute Deviation (MAD)2
Skewness5.9101024
Sum1095
Variance527.18074
MonotonicityNot monotonic
2023-12-13T03:29:20.521877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 19
 
6.4%
2 18
 
6.1%
1 17
 
5.8%
4 12
 
4.1%
5 5
 
1.7%
8 5
 
1.7%
7 4
 
1.4%
30 4
 
1.4%
6 3
 
1.0%
19 2
 
0.7%
Other values (14) 18
 
6.1%
(Missing) 188
63.7%
ValueCountFrequency (%)
1 17
5.8%
2 18
6.1%
3 19
6.4%
4 12
4.1%
5 5
 
1.7%
6 3
 
1.0%
7 4
 
1.4%
8 5
 
1.7%
10 2
 
0.7%
11 2
 
0.7%
ValueCountFrequency (%)
195 1
 
0.3%
105 1
 
0.3%
60 2
0.7%
41 1
 
0.3%
30 4
1.4%
26 1
 
0.3%
25 1
 
0.3%
20 1
 
0.3%
19 2
0.7%
18 1
 
0.3%

기계식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)65.9%
Missing251
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean62.272727
Minimum6
Maximum409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:20.683146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8
Q119.5
median35
Q364.5
95-th percentile155.1
Maximum409
Range403
Interquartile range (IQR)45

Descriptive statistics

Standard deviation84.489263
Coefficient of variation (CV)1.3567619
Kurtosis12.0784
Mean62.272727
Median Absolute Deviation (MAD)20.5
Skewness3.3681604
Sum2740
Variance7138.4355
MonotonicityNot monotonic
2023-12-13T03:29:21.200541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
30 6
 
2.0%
18 3
 
1.0%
8 3
 
1.0%
64 2
 
0.7%
16 2
 
0.7%
28 2
 
0.7%
58 2
 
0.7%
20 2
 
0.7%
409 2
 
0.7%
74 1
 
0.3%
Other values (19) 19
 
6.4%
(Missing) 251
85.1%
ValueCountFrequency (%)
6 1
 
0.3%
7 1
 
0.3%
8 3
1.0%
14 1
 
0.3%
16 2
 
0.7%
18 3
1.0%
20 2
 
0.7%
28 2
 
0.7%
30 6
2.0%
32 1
 
0.3%
ValueCountFrequency (%)
409 2
0.7%
156 1
0.3%
150 1
0.3%
128 1
0.3%
112 1
0.3%
78 1
0.3%
74 1
0.3%
72 1
0.3%
70 1
0.3%
66 1
0.3%

기계식옥외주차장(대)
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
289 
30
 
2
9
 
1
4
 
1
24
 
1

Length

Max length4
Median length4
Mean length3.9525424
Min length1

Unique

Unique4 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 289
98.0%
30 2
 
0.7%
9 1
 
0.3%
4 1
 
0.3%
24 1
 
0.3%
13 1
 
0.3%

Length

2023-12-13T03:29:21.355253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:21.471672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
98.0%
30 2
 
0.7%
9 1
 
0.3%
4 1
 
0.3%
24 1
 
0.3%
13 1
 
0.3%

인근자주식주차장(대)
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
291 
1
 
2
6
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.959322
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 291
98.6%
1 2
 
0.7%
6 1
 
0.3%
5 1
 
0.3%

Length

2023-12-13T03:29:21.605312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:21.729860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
98.6%
1 2
 
0.7%
6 1
 
0.3%
5 1
 
0.3%

인근기계식주차장(대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
294 
28
 
1

Length

Max length4
Median length4
Mean length3.9932203
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 294
99.7%
28 1
 
0.3%

Length

2023-12-13T03:29:21.872633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:22.005276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
99.7%
28 1
 
0.3%

총주차대수
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)31.1%
Missing86
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean47.521531
Minimum0
Maximum926
Zeros35
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:22.148369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q332
95-th percentile270
Maximum926
Range926
Interquartile range (IQR)30

Descriptive statistics

Standard deviation122.26426
Coefficient of variation (CV)2.5728182
Kurtosis26.836545
Mean47.521531
Median Absolute Deviation (MAD)7
Skewness4.7276212
Sum9932
Variance14948.549
MonotonicityNot monotonic
2023-12-13T03:29:22.394341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
11.9%
3 17
 
5.8%
2 15
 
5.1%
4 11
 
3.7%
1 10
 
3.4%
7 10
 
3.4%
8 10
 
3.4%
5 7
 
2.4%
15 5
 
1.7%
19 4
 
1.4%
Other values (55) 85
28.8%
(Missing) 86
29.2%
ValueCountFrequency (%)
0 35
11.9%
1 10
 
3.4%
2 15
5.1%
3 17
5.8%
4 11
 
3.7%
5 7
 
2.4%
6 3
 
1.0%
7 10
 
3.4%
8 10
 
3.4%
9 3
 
1.0%
ValueCountFrequency (%)
926 1
 
0.3%
923 1
 
0.3%
489 2
0.7%
463 1
 
0.3%
440 1
 
0.3%
396 1
 
0.3%
325 1
 
0.3%
276 1
 
0.3%
270 4
1.4%
250 1
 
0.3%

총주차장면적(m2)
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)47.8%
Missing86
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean457.78436
Minimum0
Maximum21997.122
Zeros61
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:22.596797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50
Q3137.67
95-th percentile1444.838
Maximum21997.122
Range21997.122
Interquartile range (IQR)137.67

Descriptive statistics

Standard deviation1963.5299
Coefficient of variation (CV)4.2892027
Kurtosis75.76019
Mean457.78436
Median Absolute Deviation (MAD)50
Skewness7.9716636
Sum95676.931
Variance3855449.7
MonotonicityNot monotonic
2023-12-13T03:29:22.795031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 61
20.7%
25.0 11
 
3.7%
12.5 7
 
2.4%
37.5 7
 
2.4%
100.0 7
 
2.4%
50.0 5
 
1.7%
80.5 4
 
1.4%
62.5 4
 
1.4%
46.0 4
 
1.4%
87.5 3
 
1.0%
Other values (90) 96
32.5%
(Missing) 86
29.2%
ValueCountFrequency (%)
0.0 61
20.7%
11.5 2
 
0.7%
12.5 7
 
2.4%
23.0 1
 
0.3%
24.0 1
 
0.3%
25.0 11
 
3.7%
34.5 2
 
0.7%
37.5 7
 
2.4%
37.52 1
 
0.3%
40.16 1
 
0.3%
ValueCountFrequency (%)
21997.1224 1
0.3%
10530.95 1
0.3%
9919.8868 1
0.3%
6783.0 1
0.3%
5945.1206 1
0.3%
5081.48 1
0.3%
3985.57 1
0.3%
2787.4497 1
0.3%
1993.2 1
0.3%
1539.07 1
0.3%

세대수
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)57.1%
Missing246
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean42.061224
Minimum0
Maximum282
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:22.955392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q18
median14
Q324
95-th percentile219.6
Maximum282
Range282
Interquartile range (IQR)16

Descriptive statistics

Standard deviation71.57962
Coefficient of variation (CV)1.7017959
Kurtosis4.5116078
Mean42.061224
Median Absolute Deviation (MAD)8
Skewness2.3284563
Sum2061
Variance5123.642
MonotonicityNot monotonic
2023-12-13T03:29:23.104504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8 6
 
2.0%
16 6
 
2.0%
1 5
 
1.7%
11 4
 
1.4%
0 3
 
1.0%
10 2
 
0.7%
19 2
 
0.7%
44 1
 
0.3%
3 1
 
0.3%
18 1
 
0.3%
Other values (18) 18
 
6.1%
(Missing) 246
83.4%
ValueCountFrequency (%)
0 3
1.0%
1 5
1.7%
3 1
 
0.3%
4 1
 
0.3%
6 1
 
0.3%
8 6
2.0%
10 2
 
0.7%
11 4
1.4%
13 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
282 1
0.3%
272 1
0.3%
236 1
0.3%
195 1
0.3%
168 1
0.3%
159 1
0.3%
98 1
0.3%
81 1
0.3%
65 1
0.3%
56 1
0.3%

호수
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)56.6%
Missing242
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean22.754717
Minimum0
Maximum152
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:23.276018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median6
Q328
95-th percentile97.4
Maximum152
Range152
Interquartile range (IQR)26

Descriptive statistics

Standard deviation33.850296
Coefficient of variation (CV)1.4876166
Kurtosis4.3891794
Mean22.754717
Median Absolute Deviation (MAD)5
Skewness2.1282027
Sum1206
Variance1145.8425
MonotonicityNot monotonic
2023-12-13T03:29:23.445350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 11
 
3.7%
2 5
 
1.7%
4 3
 
1.0%
6 3
 
1.0%
0 2
 
0.7%
18 2
 
0.7%
28 2
 
0.7%
5 2
 
0.7%
9 2
 
0.7%
80 1
 
0.3%
Other values (20) 20
 
6.8%
(Missing) 242
82.0%
ValueCountFrequency (%)
0 2
 
0.7%
1 11
3.7%
2 5
1.7%
3 1
 
0.3%
4 3
 
1.0%
5 2
 
0.7%
6 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
9 2
 
0.7%
ValueCountFrequency (%)
152 1
0.3%
118 1
0.3%
107 1
0.3%
91 1
0.3%
80 1
0.3%
77 1
0.3%
56 1
0.3%
53 1
0.3%
47 1
0.3%
42 1
0.3%

가구수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
259 
1
 
23
2
 
5
0
 
4
3
 
3

Length

Max length4
Median length4
Mean length3.6338983
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
87.8%
1 23
 
7.8%
2 5
 
1.7%
0 4
 
1.4%
3 3
 
1.0%
8 1
 
0.3%

Length

2023-12-13T03:29:23.673351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:23.837031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
87.8%
1 23
 
7.8%
2 5
 
1.7%
0 4
 
1.4%
3 3
 
1.0%
8 1
 
0.3%

주건축물수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)2.4%
Missing8
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean1.2857143
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:29:23.969403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum35
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2427595
Coefficient of variation (CV)1.7443685
Kurtosis184.2602
Mean1.2857143
Median Absolute Deviation (MAD)0
Skewness12.899411
Sum369
Variance5.02997
MonotonicityNot monotonic
2023-12-13T03:29:24.100867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 264
89.5%
2 16
 
5.4%
3 3
 
1.0%
14 1
 
0.3%
11 1
 
0.3%
35 1
 
0.3%
4 1
 
0.3%
(Missing) 8
 
2.7%
ValueCountFrequency (%)
1 264
89.5%
2 16
 
5.4%
3 3
 
1.0%
4 1
 
0.3%
11 1
 
0.3%
14 1
 
0.3%
35 1
 
0.3%
ValueCountFrequency (%)
35 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
4 1
 
0.3%
3 3
 
1.0%
2 16
 
5.4%
1 264
89.5%

부속건축물수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
288 
1
 
5
4
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.9288136
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 288
97.6%
1 5
 
1.7%
4 1
 
0.3%
3 1
 
0.3%

Length

2023-12-13T03:29:24.268417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:24.420445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
97.6%
1 5
 
1.7%
4 1
 
0.3%
3 1
 
0.3%

Sample

건축구분허가번호대지위치지목대지면적(m2)건축면적(m2)연면적(m2)증축연면적(m2)건폐율(퍼센트)용적률(퍼센트)구조취소구분허가취소일허가일최종설계변경일착공처리일착공예정일실제착공일임시사용승인기간사용승인일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합하수처리시설명하수처리시설용량(m3)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(m2)세대수호수가구수주건축물수부속건축물수
0신축2023-건축과-신축허가-24부산광역시 연제구 거제동 867-43대237.0126.5289520.6618<NA>53.3877219.69철근콘크리트구조미취소<NA>2023-09-11<NA><NA><NA><NA><NA><NA>5022.011<NA>하수종말처리장연결<NA>제2종근린생활시설<NA>제2종일반주거지역<NA><NA><NA>4<NA><NA><NA><NA>40.0<NA>5<NA>1<NA>
1용도변경2023-건축과-용도변경허가-28부산광역시 연제구 연산동 635-2대296.0176.061584.41<NA>59.48477.66철근콘크리트구조미취소<NA>2023-09-07<NA><NA><NA><NA><NA><NA>9127.4511<NA>부패탱크방법<NA>업무시설업무시설,다세대주택,근린생활시설준주거지역<NA>역사문화환경보존지역<NA>18<NA><NA><NA>958.81329<NA>1<NA>
2용도변경2023-건축과-용도변경허가-27부산광역시 연제구 연산동 791-26대128.663.8120.66<NA>49.6193.83블록구조미취소<NA>2023-09-06<NA><NA><NA><NA><NA><NA>2<NA>0.010<NA>부패탱크방법<NA>제1종근린생활시설<NA>제2종일반주거지역<NA>학교환경위생정화구역<NA><NA><NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
3증축2023-건축과-공용건축물-4부산광역시 연제구 거제동 419-2 외88필지철도용지9006.764246.498612.22363.947.1595.62철근콘크리트구조미취소<NA>2023-09-05<NA><NA><NA><NA><NA><NA>4<NA>27.424<NA>하수종말처리장연결0.1719운수시설철도역사,운동시설,근린생활시설,어린이집제3종일반주거지역철도보호지구<NA><NA>195<NA><NA><NA><NA>1956783.0<NA><NA><NA>11
4용도변경2023-건축과-용도변경허가-26부산광역시 연제구 연산동 1499-9대188.493.53394.53<NA>49.6444209.41철근콘크리트구조미취소<NA>2023-09-05<NA><NA><NA><NA><NA><NA>5<NA>15.311<NA>하수종말처리장연결7.8제2종근린생활시설사무소, 일반음식점제3종일반주거지역<NA>학교환경위생정화구역<NA>3<NA><NA><NA><NA>30.0<NA><NA><NA>1<NA>
5증축2023-건축과-증축허가-6부산광역시 연제구 연산동 1114-2 외4필지종교용지18392.02683.285889.81476.7814.5928.49철근콘크리트구조미취소<NA>2023-08-31<NA><NA><NA><NA><NA><NA>013.414<NA><NA><NA><NA>종교시설부설주차장제2종일반주거지역<NA>학교환경위생정화구역31<NA><NA><NA><NA><NA>31476.78<NA><NA><NA>14<NA>
6신축2023-건축과-신축허가-23부산광역시 연제구 거제동 802-130대141.084.14309.02<NA>59.67219.16철근콘크리트구조미취소<NA>2023-08-25<NA><NA><NA><NA><NA><NA>4010.131<NA><NA>부패탱크방법<NA>제2종근린생활시설<NA>제2종일반주거지역<NA><NA><NA>2<NA><NA><NA><NA>225.0<NA><NA><NA>1<NA>
7신축2023-건축과-신축허가-22부산광역시 연제구 연산동 2022-320대191.0110.4987198.3932<NA>57.85103.87철근콘크리트구조미취소<NA>2023-08-18<NA>2023-09-062023-09-06<NA><NA><NA>208.71<NA><NA>부패탱크방법<NA>제2종근린생활시설사무소제1종일반주거지역<NA><NA><NA>1<NA><NA><NA><NA>112.5<NA><NA><NA>1<NA>
8신축2023-건축과-신축허가-21부산광역시 연제구 연산동 822-47 외1필지대274.14156.89992.16<NA>57.23361.92철근콘크리트구조미취소<NA>2023-08-11<NA><NA><NA><NA><NA><NA>8028.711<NA>하수종말처리장연결<NA>제2종근린생활시설일반음식점 및 사무소준주거지역<NA><NA><NA>7<NA><NA><NA><NA>787.5<NA><NA><NA>1<NA>
9용도변경2023-건축과-용도변경허가-25부산광역시 연제구 거제동 199-10대703.1371.141723.98<NA>52.7862192.91철근콘크리트구조미취소<NA>2023-08-09<NA><NA><NA><NA><NA><NA>4115.510<NA>하수종말처리장연결15325.0공동주택연립주택제3종일반주거지역<NA>학교환경위생정화구역9<NA><NA><NA><NA><NA>90.0<NA>16<NA>1<NA>
건축구분허가번호대지위치지목대지면적(m2)건축면적(m2)연면적(m2)증축연면적(m2)건폐율(퍼센트)용적률(퍼센트)구조취소구분허가취소일허가일최종설계변경일착공처리일착공예정일실제착공일임시사용승인기간사용승인일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합하수처리시설명하수처리시설용량(m3)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(m2)세대수호수가구수주건축물수부속건축물수
285신축2021-건축과-신축허가-81부산광역시 연제구 거제동 1465-1대150.875.34489.46<NA>49.96245.08철근콘크리트구조미취소<NA>2021-10-122022-05-062022-02-252022-02-282022-02-28<NA>2022-12-075123.311<NA>하수종말처리장연결6.56제1종근린생활시설휴게음식점제3종일반주거지역<NA><NA><NA>3<NA><NA><NA><NA>337.5<NA><NA>11<NA>
286용도변경2021-건축과-용도변경허가-69부산광역시 연제구 연산동 380-15 외1필지대326.5189.52606.45<NA>58.05150.82<NA>미취소<NA>2021-10-06<NA><NA><NA><NA><NA><NA>3<NA>8.910<NA>하수종말처리장연결<NA>제2종근린생활시설<NA>준주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
287신축2021-건축과-신축허가-79부산광역시 연제구 연산동 459-5대141.083.84130.0<NA>59.4692.2철근콘크리트구조미취소<NA>2021-10-052021-11-012021-11-092021-11-082021-11-08<NA>2022-02-22206.81<NA><NA>하수종말처리장연결<NA>공동주택(다세대-도시형생활주택(원룸형))제2종일반주거지역<NA>상대보호구역21<NA><NA><NA><NA>337.56<NA><NA>1<NA>
288신축2021-건축과-신축허가-78부산광역시 연제구 거제동 897-14대149.889.0466.74<NA>59.41311.58철근콘크리트구조취소2023-08-242021-10-01<NA><NA><NA><NA><NA><NA>7024.511<NA>하수종말처리장연결<NA>제2종근린생활시설사무소가로구역별최고높이제한지역<NA>절대정화구역<NA>3<NA><NA><NA><NA>30.0<NA><NA>11<NA>
289신축2021-건축과-신축허가-76부산광역시 연제구 거제동 507-8 외2필지대1729.0675.935635.75<NA>39.09242.29철근콘크리트구조미취소<NA>2021-09-242021-12-082022-08-262022-08-19<NA><NA><NA>2148.52<NA>1부패탱크방법87.732제1종근린생활시설제2종근린생활시설(소매점,의원,휴게음식점), 운동시설제3종일반주거지역철도보호지구<NA>365<NA><NA><NA><NA>411357.52<NA><NA><NA>2<NA>
290신축2021-건축과-신축허가-77부산광역시 연제구 거제동 708-5대784.37467.071341.17<NA>59.55119.16일반철골구조미취소<NA>2021-09-242021-12-102021-10-262021-10-252021-10-25<NA>2022-04-224019.01<NA><NA>하수종말처리장연결14.02제2종근린생활시설자동차영업소준주거지역지적재조사사업지구<NA>4<NA>6<NA><NA><NA>10460.51<NA><NA><NA>1<NA>
291용도변경2021-건축과-용도변경허가-68부산광역시 연제구 연산동 1384-2대145.8112.74492.94<NA>77.33284.03철근콘크리트구조미취소<NA>2021-09-17<NA><NA><NA><NA><NA><NA>4113.310<NA>부패탱크방법<NA>제2종근린생활시설<NA>가로구역별최고높이제한지역방화지구학교환경위생정화구역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
292대수선2021-건축과-대수선허가-10부산광역시 연제구 연산동 1505-1대100.258.06103.59<NA>57.9441103.38일반철골구조미취소<NA>2021-09-16<NA>2021-09-272021-09-272021-09-27<NA>2021-10-262<NA>7.31<NA><NA><NA><NA>제2종근린생활시설일반음식점준주거지역<NA>지구단위계획구역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
293신축2021-건축과-신축허가-74부산광역시 연제구 거제동 199-3대704.8327.361801.86<NA>46.45246.36철근콘크리트구조미취소<NA>2021-09-16<NA>2022-02-152022-02-102022-02-10<NA>2023-01-317122.211<NA>하수종말처리장연결17.83공동주택연립주택제3종일반주거지역<NA><NA>617<NA><NA><NA><NA>23281.35167<NA>1<NA>
294신축2021-건축과-신축허가-75부산광역시 연제구 연산동 1310-4 외1필지대894.0558.631498.63<NA>62.49167.63철근콘크리트구조미취소<NA>2021-09-162022-04-192021-11-232021-10-252021-10-25<NA>2022-10-265022.6511<NA>부패탱크방법52.45제2종근린생활시설휴게음식점,사무소일반상업지역방화지구<NA><NA>19<NA><NA><NA><NA>19241.5<NA>4<NA>1<NA>