Overview

Dataset statistics

Number of variables53
Number of observations143
Missing cells2625
Missing cells (%)34.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.8 KiB
Average record size in memory456.9 B

Variable types

Categorical13
Text3
Numeric21
Unsupported7
DateTime9

Dataset

Description대전광역시 서구 건축신고 현황(건축구분명, 지번주소, 도로명주소, 대지면적, 건축면적, 연면적, 건폐율, 용적률, 신고일자 등) 데이터입니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15108200/fileData.do

Alerts

취소구분 has constant value ""Constant
지목 is highly imbalanced (62.4%)Imbalance
비상승강기합 is highly imbalanced (71.1%)Imbalance
용도지구 is highly imbalanced (56.8%)Imbalance
기계식옥외주차장(대) is highly imbalanced (92.4%)Imbalance
인근자주식주차장(대) is highly imbalanced (81.7%)Imbalance
부속건축물수 is highly imbalanced (78.6%)Imbalance
증축연면적(제곱미터) has 94 (65.7%) missing valuesMissing
철거멸실구분 has 143 (100.0%) missing valuesMissing
허가취소일 has 143 (100.0%) missing valuesMissing
효력상실일 has 143 (100.0%) missing valuesMissing
최종설계변경일 has 136 (95.1%) missing valuesMissing
착공처리일 has 69 (48.3%) missing valuesMissing
착공예정일 has 69 (48.3%) missing valuesMissing
실제착공일 has 106 (74.1%) missing valuesMissing
착공연기일 has 143 (100.0%) missing valuesMissing
착공연기사유 has 143 (100.0%) missing valuesMissing
임시사용승인기간 has 143 (100.0%) missing valuesMissing
사용승인일 has 78 (54.5%) missing valuesMissing
준공예정일(사용승인예정일) has 69 (48.3%) missing valuesMissing
(임시)사용승인최초접수일 has 78 (54.5%) missing valuesMissing
최대지하층수 has 58 (40.6%) missing valuesMissing
최고높이(미터) has 2 (1.4%) missing valuesMissing
승강기합 has 64 (44.8%) missing valuesMissing
하수처리시설용량(세제곱미터) has 117 (81.8%) missing valuesMissing
부속용도 has 32 (22.4%) missing valuesMissing
자주식옥내주차장(대) has 90 (62.9%) missing valuesMissing
자주식옥외주차장(대) has 65 (45.5%) missing valuesMissing
기계식옥내주차장(대) has 136 (95.1%) missing valuesMissing
인근기계식주차장(대) has 143 (100.0%) missing valuesMissing
총주차대수 has 5 (3.5%) missing valuesMissing
총주차장면적(제곱미터) has 5 (3.5%) missing valuesMissing
세대수 has 135 (94.4%) missing valuesMissing
호수 has 133 (93.0%) missing valuesMissing
가구수 has 83 (58.0%) missing valuesMissing
허가번호 has unique valuesUnique
철거멸실구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허가취소일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
효력상실일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
착공연기일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
착공연기사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임시사용승인기간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
인근기계식주차장(대) is an unsupported type, check if it needs cleaning or further analysisUnsupported
증축연면적(제곱미터) has 2 (1.4%) zerosZeros
최대지하층수 has 32 (22.4%) zerosZeros
승강기합 has 16 (11.2%) zerosZeros
총주차대수 has 37 (25.9%) zerosZeros
총주차장면적(제곱미터) has 49 (34.3%) zerosZeros
세대수 has 2 (1.4%) zerosZeros
가구수 has 2 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-12 14:57:19.710789
Analysis finished2023-12-12 14:57:20.439848
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
용도변경
57 
증축
51 
신축
29 
대수선
 
4
개축
 
1

Length

Max length7
Median length2
Mean length2.8601399
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
용도변경 57
39.9%
증축 51
35.7%
신축 29
20.3%
대수선 4
 
2.8%
개축 1
 
0.7%
발코니구조변경 1
 
0.7%

Length

2023-12-12T23:57:20.502700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:20.649840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용도변경 57
39.9%
증축 51
35.7%
신축 29
20.3%
대수선 4
 
2.8%
개축 1
 
0.7%
발코니구조변경 1
 
0.7%

허가번호
Text

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T23:57:20.868784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length16.664336
Min length15

Characters and Unicode

Total characters2383
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)100.0%

Sample

1st row2023-건축과-신축신고-23
2nd row2023-건축과-용도변경신고-37
3rd row2023-건축과-신축신고-22
4th row2023-건축과-증축신고-24
5th row2023-건축과-신축신고-21
ValueCountFrequency (%)
2023-건축과-신축신고-23 1
 
0.7%
2023-건축과-용도변경신고-1 1
 
0.7%
2022-건축과-용도변경신고-47 1
 
0.7%
2022-건축과-용도변경신고-46 1
 
0.7%
2022-건축과-용도변경신고-45 1
 
0.7%
2022-건축과-증축신고-43 1
 
0.7%
2022-건축과-용도변경신고-44 1
 
0.7%
2022-건축과-증축신고-42 1
 
0.7%
2022-건축과-증축신고-44 1
 
0.7%
2022-건축과-협의건축물-11 1
 
0.7%
Other values (133) 133
93.0%
2023-12-12T23:57:21.274021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 429
18.0%
2 388
16.3%
축 224
9.4%
신 164
 
6.9%
0 156
 
6.5%
건 148
 
6.2%
과 143
 
6.0%
3 138
 
5.8%
고 136
 
5.7%
용 57
 
2.4%
Other values (27) 400
16.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1132
47.5%
Decimal Number 822
34.5%
Dash Punctuation 429
 
18.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 224
19.8%
신 164
14.5%
건 148
13.1%
과 143
12.6%
고 136
12.0%
용 57
 
5.0%
경 57
 
5.0%
변 57
 
5.0%
도 56
 
4.9%
증 47
 
4.2%
Other values (16) 43
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 388
47.2%
0 156
19.0%
3 138
 
16.8%
1 53
 
6.4%
4 27
 
3.3%
7 13
 
1.6%
9 13
 
1.6%
6 12
 
1.5%
5 12
 
1.5%
8 10
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 429
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1251
52.5%
Hangul 1132
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 224
19.8%
신 164
14.5%
건 148
13.1%
과 143
12.6%
고 136
12.0%
용 57
 
5.0%
경 57
 
5.0%
변 57
 
5.0%
도 56
 
4.9%
증 47
 
4.2%
Other values (16) 43
 
3.8%
Common
ValueCountFrequency (%)
- 429
34.3%
2 388
31.0%
0 156
 
12.5%
3 138
 
11.0%
1 53
 
4.2%
4 27
 
2.2%
7 13
 
1.0%
9 13
 
1.0%
6 12
 
1.0%
5 12
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1251
52.5%
Hangul 1132
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 429
34.3%
2 388
31.0%
0 156
 
12.5%
3 138
 
11.0%
1 53
 
4.2%
4 27
 
2.2%
7 13
 
1.0%
9 13
 
1.0%
6 12
 
1.0%
5 12
 
1.0%
Hangul
ValueCountFrequency (%)
축 224
19.8%
신 164
14.5%
건 148
13.1%
과 143
12.6%
고 136
12.0%
용 57
 
5.0%
경 57
 
5.0%
변 57
 
5.0%
도 56
 
4.9%
증 47
 
4.2%
Other values (16) 43
 
3.8%

대지위치
Text

Distinct129
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T23:57:21.640978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length17.923077
Min length15

Characters and Unicode

Total characters2563
Distinct characters58
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

Unique118 ?
Unique (%)82.5%

Sample

1st row대전광역시 서구 정림동 40-5
2nd row대전광역시 서구 둔산동 1498
3rd row대전광역시 서구 가수원동 554-2
4th row대전광역시 서구 변동 254-216
5th row대전광역시 서구 평촌동 393-1
ValueCountFrequency (%)
대전광역시 143
24.3%
서구 143
24.3%
관저동 15
 
2.6%
둔산동 14
 
2.4%
외1필지 14
 
2.4%
괴정동 12
 
2.0%
장안동 12
 
2.0%
탄방동 11
 
1.9%
갈마동 8
 
1.4%
도안동 8
 
1.4%
Other values (149) 208
35.4%
2023-12-12T23:57:22.144285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
17.4%
대 143
 
5.6%
동 143
 
5.6%
구 143
 
5.6%
서 143
 
5.6%
전 143
 
5.6%
시 143
 
5.6%
역 143
 
5.6%
광 143
 
5.6%
1 114
 
4.4%
Other values (48) 860
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1468
57.3%
Decimal Number 568
 
22.2%
Space Separator 445
 
17.4%
Dash Punctuation 82
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 143
9.7%
동 143
9.7%
구 143
9.7%
서 143
9.7%
전 143
9.7%
시 143
9.7%
역 143
9.7%
광 143
9.7%
안 20
 
1.4%
정 20
 
1.4%
Other values (36) 284
19.3%
Decimal Number
ValueCountFrequency (%)
1 114
20.1%
2 79
13.9%
3 67
11.8%
4 64
11.3%
5 49
8.6%
6 46
8.1%
9 39
 
6.9%
7 38
 
6.7%
8 37
 
6.5%
0 35
 
6.2%
Space Separator
ValueCountFrequency (%)
445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1468
57.3%
Common 1095
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 143
9.7%
동 143
9.7%
구 143
9.7%
서 143
9.7%
전 143
9.7%
시 143
9.7%
역 143
9.7%
광 143
9.7%
안 20
 
1.4%
정 20
 
1.4%
Other values (36) 284
19.3%
Common
ValueCountFrequency (%)
445
40.6%
1 114
 
10.4%
- 82
 
7.5%
2 79
 
7.2%
3 67
 
6.1%
4 64
 
5.8%
5 49
 
4.5%
6 46
 
4.2%
9 39
 
3.6%
7 38
 
3.5%
Other values (2) 72
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1468
57.3%
ASCII 1095
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
40.6%
1 114
 
10.4%
- 82
 
7.5%
2 79
 
7.2%
3 67
 
6.1%
4 64
 
5.8%
5 49
 
4.5%
6 46
 
4.2%
9 39
 
3.6%
7 38
 
3.5%
Other values (2) 72
 
6.6%
Hangul
ValueCountFrequency (%)
대 143
9.7%
동 143
9.7%
구 143
9.7%
서 143
9.7%
전 143
9.7%
시 143
9.7%
역 143
9.7%
광 143
9.7%
안 20
 
1.4%
정 20
 
1.4%
Other values (36) 284
19.3%

지목
Categorical

IMBALANCE 

Distinct12
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
대
113 
답
 
11
전
 
5
잡종지
 
3
학교용지
 
2
Other values (7)
 
9

Length

Max length5
Median length1
Mean length1.2587413
Min length1

Unique

Unique5 ?
Unique (%)3.5%

Sample

1st row임야
2nd row대
3rd row답
4th row대
5th row전

Common Values

ValueCountFrequency (%)
대 113
79.0%
답 11
 
7.7%
전 5
 
3.5%
잡종지 3
 
2.1%
학교용지 2
 
1.4%
주유소용지 2
 
1.4%
공장용지 2
 
1.4%
임야 1
 
0.7%
과수원 1
 
0.7%
주차장 1
 
0.7%
Other values (2) 2
 
1.4%

Length

2023-12-12T23:57:22.310400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 113
79.0%
답 11
 
7.7%
전 5
 
3.5%
잡종지 3
 
2.1%
학교용지 2
 
1.4%
주유소용지 2
 
1.4%
공장용지 2
 
1.4%
임야 1
 
0.7%
과수원 1
 
0.7%
주차장 1
 
0.7%
Other values (2) 2
 
1.4%

대지면적(제곱미터)
Real number (ℝ)

Distinct124
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5491.7357
Minimum82
Maximum333331.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:22.478254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82
5-th percentile174.71
Q1339.25
median593.3
Q31236.4
95-th percentile12568.33
Maximum333331.5
Range333249.5
Interquartile range (IQR)897.15

Descriptive statistics

Standard deviation32002.207
Coefficient of variation (CV)5.8273393
Kurtosis83.596624
Mean5491.7357
Median Absolute Deviation (MAD)317.7
Skewness8.8085114
Sum785318.21
Variance1.0241413 × 109
MonotonicityNot monotonic
2023-12-12T23:57:22.940505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13359.7 4
 
2.8%
1270.4 4
 
2.8%
658.0 3
 
2.1%
1242.8 2
 
1.4%
507.4 2
 
1.4%
500.0 2
 
1.4%
962.0 2
 
1.4%
645.0 2
 
1.4%
531.6 2
 
1.4%
1141.6 2
 
1.4%
Other values (114) 118
82.5%
ValueCountFrequency (%)
82.0 1
0.7%
135.7 1
0.7%
158.0 1
0.7%
159.3 1
0.7%
165.2 1
0.7%
166.0 1
0.7%
167.9 1
0.7%
173.9 1
0.7%
182.0 1
0.7%
198.0 1
0.7%
ValueCountFrequency (%)
333331.5 1
 
0.7%
172471.2 1
 
0.7%
86889.0 1
 
0.7%
20295.0 1
 
0.7%
13359.7 4
2.8%
5446.0 1
 
0.7%
3677.0 1
 
0.7%
3473.0 1
 
0.7%
3201.7 1
 
0.7%
3185.9 1
 
0.7%

건축면적(제곱미터)
Real number (ℝ)

Distinct130
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1221.7312
Minimum18
Maximum41898.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:23.117434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile42.237
Q1100.495
median199.42
Q3604.545
95-th percentile3637.475
Maximum41898.54
Range41880.54
Interquartile range (IQR)504.05

Descriptive statistics

Standard deviation4761.8595
Coefficient of variation (CV)3.8976327
Kurtosis55.531212
Mean1221.7312
Median Absolute Deviation (MAD)109.78
Skewness7.2020468
Sum174707.56
Variance22675306
MonotonicityNot monotonic
2023-12-12T23:57:23.301311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7518.24 4
 
2.8%
759.84 3
 
2.1%
798.32 2
 
1.4%
305.55 2
 
1.4%
181.6 2
 
1.4%
705.3 2
 
1.4%
296.08 2
 
1.4%
93.24 2
 
1.4%
57.6 2
 
1.4%
1521.06 2
 
1.4%
Other values (120) 120
83.9%
ValueCountFrequency (%)
18.0 1
0.7%
29.7 1
0.7%
30.0 1
0.7%
36.16 1
0.7%
36.5 1
0.7%
38.76 1
0.7%
39.61 1
0.7%
40.56 1
0.7%
57.33 1
0.7%
57.6 2
1.4%
ValueCountFrequency (%)
41898.54 1
 
0.7%
35270.93 1
 
0.7%
11880.69 1
 
0.7%
7518.24 4
2.8%
3739.19 1
 
0.7%
2722.04 1
 
0.7%
2240.38 1
 
0.7%
2214.9 1
 
0.7%
1892.63 1
 
0.7%
1840.32 1
 
0.7%

연면적(제곱미터)
Real number (ℝ)

Distinct132
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96349.036
Minimum18
Maximum12542433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:23.445201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile57.6
Q1122.005
median516.04
Q33534.965
95-th percentile24786.61
Maximum12542433
Range12542415
Interquartile range (IQR)3412.96

Descriptive statistics

Standard deviation1048624.7
Coefficient of variation (CV)10.883604
Kurtosis142.72087
Mean96349.036
Median Absolute Deviation (MAD)418.21
Skewness11.941054
Sum13777912
Variance1.0996138 × 1012
MonotonicityNot monotonic
2023-12-12T23:57:23.612064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4375.77 3
 
2.1%
125424.33 3
 
2.1%
24034.93 2
 
1.4%
10914.62 2
 
1.4%
181.6 2
 
1.4%
14407.71 2
 
1.4%
877.06 2
 
1.4%
93.24 2
 
1.4%
57.6 2
 
1.4%
149.82 1
 
0.7%
Other values (122) 122
85.3%
ValueCountFrequency (%)
18.0 1
0.7%
29.7 1
0.7%
36.16 1
0.7%
36.5 1
0.7%
38.76 1
0.7%
39.61 1
0.7%
39.9 1
0.7%
57.6 2
1.4%
62.11 1
0.7%
72.0 1
0.7%
ValueCountFrequency (%)
12542433.0 1
 
0.7%
283485.17 1
 
0.7%
162813.48 1
 
0.7%
125424.33 3
2.1%
28037.52 1
 
0.7%
24870.13 1
 
0.7%
24034.93 2
1.4%
21032.36 1
 
0.7%
19480.67 1
 
0.7%
18367.67 1
 
0.7%

증축연면적(제곱미터)
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)93.9%
Missing94
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean62.75449
Minimum-7.58
Maximum665.67
Zeros2
Zeros (%)1.4%
Negative1
Negative (%)0.7%
Memory size1.4 KiB
2023-12-12T23:57:23.781234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7.58
5-th percentile4.052
Q126.3
median39.01
Q356.64
95-th percentile84.468
Maximum665.67
Range673.25
Interquartile range (IQR)30.34

Descriptive statistics

Standard deviation111.08208
Coefficient of variation (CV)1.7701057
Kurtosis22.394951
Mean62.75449
Median Absolute Deviation (MAD)16.93
Skewness4.6615492
Sum3074.97
Variance12339.229
MonotonicityNot monotonic
2023-12-12T23:57:23.935100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
54.72 3
 
2.1%
0.0 2
 
1.4%
16.8 1
 
0.7%
84.0 1
 
0.7%
45.03 1
 
0.7%
56.0 1
 
0.7%
50.87 1
 
0.7%
63.25 1
 
0.7%
74.91 1
 
0.7%
82.86 1
 
0.7%
Other values (36) 36
 
25.2%
(Missing) 94
65.7%
ValueCountFrequency (%)
-7.58 1
0.7%
0.0 2
1.4%
10.13 1
0.7%
14.5 1
0.7%
15.12 1
0.7%
16.8 1
0.7%
17.19 1
0.7%
17.94 1
0.7%
22.08 1
0.7%
23.02 1
0.7%
ValueCountFrequency (%)
665.67 1
0.7%
488.33 1
0.7%
84.48 1
0.7%
84.45 1
0.7%
84.0 1
0.7%
82.86 1
0.7%
74.91 1
0.7%
74.0 1
0.7%
66.44 1
0.7%
64.0 1
0.7%

건폐율(퍼센트)
Real number (ℝ)

Distinct126
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.707024
Minimum1.37
Maximum89.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:24.095359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.37
5-th percentile7.46067
Q119.905
median50.32
Q359.8111
95-th percentile78.47612
Maximum89.91
Range88.54
Interquartile range (IQR)39.9061

Descriptive statistics

Standard deviation22.725047
Coefficient of variation (CV)0.51994039
Kurtosis-1.1220807
Mean43.707024
Median Absolute Deviation (MAD)13.5
Skewness-0.21730386
Sum6250.1045
Variance516.42778
MonotonicityNot monotonic
2023-12-12T23:57:24.248729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.28 4
 
2.8%
59.98 4
 
2.8%
59.8111 3
 
2.1%
56.75 3
 
2.1%
69.9299 2
 
1.4%
69.97 2
 
1.4%
18.88 2
 
1.4%
19.95 2
 
1.4%
58.35 2
 
1.4%
59.94 2
 
1.4%
Other values (116) 117
81.8%
ValueCountFrequency (%)
1.37 1
0.7%
3.58 1
0.7%
5.239 1
0.7%
6.85 1
0.7%
6.87 1
0.7%
6.9489 1
0.7%
7.07 1
0.7%
7.44 1
0.7%
7.6467 1
0.7%
7.9 1
0.7%
ValueCountFrequency (%)
89.91 1
0.7%
89.66 1
0.7%
83.46 1
0.7%
80.9572 1
0.7%
80.61 1
0.7%
79.52 2
1.4%
78.48 1
0.7%
78.4412 1
0.7%
78.3767 1
0.7%
72.2346 1
0.7%

용적률(퍼센트)
Real number (ℝ)

Distinct132
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.95414
Minimum1.37
Maximum920.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:24.378357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.37
5-th percentile9.541
Q123.205
median99.8322
Q3227.725
95-th percentile677.363
Maximum920.93
Range919.56
Interquartile range (IQR)204.52

Descriptive statistics

Standard deviation219.03966
Coefficient of variation (CV)1.177923
Kurtosis1.8868397
Mean185.95414
Median Absolute Deviation (MAD)81.4022
Skewness1.6019484
Sum26591.443
Variance47978.371
MonotonicityNot monotonic
2023-12-12T23:57:24.500413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
415.64 4
 
2.8%
264.3593 3
 
2.1%
172.85 2
 
1.4%
699.8704 2
 
1.4%
19.95 2
 
1.4%
920.93 2
 
1.4%
719.95 2
 
1.4%
18.88 2
 
1.4%
198.61 1
 
0.7%
131.3666 1
 
0.7%
Other values (122) 122
85.3%
ValueCountFrequency (%)
1.37 1
0.7%
3.58 1
0.7%
6.87 1
0.7%
6.9489 1
0.7%
7.07 1
0.7%
7.44 1
0.7%
7.6467 1
0.7%
9.53 1
0.7%
9.64 1
0.7%
11.16 1
0.7%
ValueCountFrequency (%)
920.93 2
1.4%
892.2 1
0.7%
719.95 2
1.4%
699.8704 2
1.4%
678.8 1
0.7%
664.43 1
0.7%
660.54 1
0.7%
640.6899 1
0.7%
629.0674 1
0.7%
607.9431 1
0.7%

구조
Categorical

Distinct11
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
철근콘크리트구조
58 
경량철골구조
39 
<NA>
22 
일반철골구조
7 
벽돌구조
 
5
Other values (6)
12 

Length

Max length10
Median length8
Mean length6.5174825
Min length4

Unique

Unique4 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 58
40.6%
경량철골구조 39
27.3%
<NA> 22
 
15.4%
일반철골구조 7
 
4.9%
벽돌구조 5
 
3.5%
철골철근콘크리트구조 5
 
3.5%
일반목구조 3
 
2.1%
블록구조 1
 
0.7%
기타구조 1
 
0.7%
스틸하우스조 1
 
0.7%

Length

2023-12-12T23:57:24.628521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 58
40.6%
경량철골구조 39
27.3%
na 22
 
15.4%
일반철골구조 7
 
4.9%
벽돌구조 5
 
3.5%
철골철근콘크리트구조 5
 
3.5%
일반목구조 3
 
2.1%
블록구조 1
 
0.7%
기타구조 1
 
0.7%
스틸하우스조 1
 
0.7%

취소구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
미취소
143 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미취소 143
100.0%

Length

2023-12-12T23:57:24.743900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:24.832505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미취소 143
100.0%

철거멸실구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

허가취소일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

허가일
Date

Distinct123
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-07-05 00:00:00
Maximum2023-10-24 00:00:00
2023-12-12T23:57:24.942687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:25.095599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

효력상실일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

최종설계변경일
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing136
Missing (%)95.1%
Memory size1.2 KiB
Minimum2023-01-16 00:00:00
Maximum2023-11-01 00:00:00
2023-12-12T23:57:25.216179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:25.324661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

착공처리일
Date

MISSING 

Distinct61
Distinct (%)82.4%
Missing69
Missing (%)48.3%
Memory size1.2 KiB
Minimum2022-07-14 00:00:00
Maximum2023-11-06 00:00:00
2023-12-12T23:57:25.454439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:25.622747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공예정일
Date

MISSING 

Distinct69
Distinct (%)93.2%
Missing69
Missing (%)48.3%
Memory size1.2 KiB
Minimum2022-07-20 00:00:00
Maximum2023-11-06 00:00:00
2023-12-12T23:57:25.775500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:25.945063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

실제착공일
Date

MISSING 

Distinct37
Distinct (%)100.0%
Missing106
Missing (%)74.1%
Memory size1.2 KiB
Minimum2022-07-26 00:00:00
Maximum2023-10-04 00:00:00
2023-12-12T23:57:26.105095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:26.282938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

착공연기일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

착공연기사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

임시사용승인기간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

사용승인일
Date

MISSING 

Distinct55
Distinct (%)84.6%
Missing78
Missing (%)54.5%
Memory size1.2 KiB
Minimum2022-08-16 00:00:00
Maximum2023-11-14 00:00:00
2023-12-12T23:57:26.433820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:26.578650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준공예정일(사용승인예정일)
Date

MISSING 

Distinct55
Distinct (%)74.3%
Missing69
Missing (%)48.3%
Memory size1.2 KiB
Minimum2022-08-25 00:00:00
Maximum2024-11-30 00:00:00
2023-12-12T23:57:26.710399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:26.838686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건축허가최초접수일
Date

Distinct116
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-03-17 00:00:00
Maximum2023-10-05 00:00:00
2023-12-12T23:57:26.963270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:27.081975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(임시)사용승인최초접수일
Date

MISSING 

Distinct59
Distinct (%)90.8%
Missing78
Missing (%)54.5%
Memory size1.2 KiB
Minimum2022-08-05 00:00:00
Maximum2023-11-08 00:00:00
2023-12-12T23:57:27.508874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:27.658348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct14
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0559441
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:27.771062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile12
Maximum14
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.6168156
Coefficient of variation (CV)0.89173213
Kurtosis0.45914883
Mean4.0559441
Median Absolute Deviation (MAD)2
Skewness1.2149242
Sum580
Variance13.081355
MonotonicityNot monotonic
2023-12-12T23:57:27.886788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 52
36.4%
5 21
14.7%
2 17
 
11.9%
4 16
 
11.2%
12 10
 
7.0%
3 7
 
4.9%
7 6
 
4.2%
10 4
 
2.8%
8 3
 
2.1%
14 2
 
1.4%
Other values (4) 5
 
3.5%
ValueCountFrequency (%)
1 52
36.4%
2 17
 
11.9%
3 7
 
4.9%
4 16
 
11.2%
5 21
14.7%
6 1
 
0.7%
7 6
 
4.2%
8 3
 
2.1%
9 1
 
0.7%
10 4
 
2.8%
ValueCountFrequency (%)
14 2
 
1.4%
13 1
 
0.7%
12 10
7.0%
11 2
 
1.4%
10 4
 
2.8%
9 1
 
0.7%
8 3
 
2.1%
7 6
 
4.2%
6 1
 
0.7%
5 21
14.7%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)9.4%
Missing58
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean1.5058824
Minimum0
Maximum7
Zeros32
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:28.000845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.985804
Coefficient of variation (CV)1.3186979
Kurtosis2.1278852
Mean1.5058824
Median Absolute Deviation (MAD)1
Skewness1.705208
Sum128
Variance3.9434174
MonotonicityNot monotonic
2023-12-12T23:57:28.129406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 32
22.4%
1 28
19.6%
2 8
 
5.6%
7 6
 
4.2%
3 5
 
3.5%
4 4
 
2.8%
6 1
 
0.7%
5 1
 
0.7%
(Missing) 58
40.6%
ValueCountFrequency (%)
0 32
22.4%
1 28
19.6%
2 8
 
5.6%
3 5
 
3.5%
4 4
 
2.8%
5 1
 
0.7%
6 1
 
0.7%
7 6
 
4.2%
ValueCountFrequency (%)
7 6
 
4.2%
6 1
 
0.7%
5 1
 
0.7%
4 4
 
2.8%
3 5
 
3.5%
2 8
 
5.6%
1 28
19.6%
0 32
22.4%

최고높이(미터)
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)80.1%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean17.118844
Minimum0
Maximum63.15
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:28.274720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q15.3
median11.56
Q321.6
95-th percentile55.95
Maximum63.15
Range63.15
Interquartile range (IQR)16.3

Descriptive statistics

Standard deviation16.002771
Coefficient of variation (CV)0.93480441
Kurtosis1.0018614
Mean17.118844
Median Absolute Deviation (MAD)6.51
Skewness1.4224571
Sum2413.757
Variance256.08868
MonotonicityNot monotonic
2023-12-12T23:57:28.456723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.5 4
 
2.8%
5.05 4
 
2.8%
4.1 3
 
2.1%
22.29 3
 
2.1%
17.5 3
 
2.1%
4.0 3
 
2.1%
7.9 2
 
1.4%
45.7 2
 
1.4%
63.15 2
 
1.4%
3.75 2
 
1.4%
Other values (103) 113
79.0%
ValueCountFrequency (%)
0.0 1
0.7%
2.8 2
1.4%
2.9 1
0.7%
3.1 1
0.7%
3.14 1
0.7%
3.17 1
0.7%
3.2 1
0.7%
3.25 1
0.7%
3.45 1
0.7%
3.6 1
0.7%
ValueCountFrequency (%)
63.15 2
1.4%
58.5 4
2.8%
55.95 2
1.4%
51.65 1
 
0.7%
50.25 1
 
0.7%
49.78 1
 
0.7%
46.8 1
 
0.7%
45.7 2
1.4%
45.25 1
 
0.7%
44.57 1
 
0.7%

동수
Real number (ℝ)

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6643357
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:28.583711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum28
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1105093
Coefficient of variation (CV)1.8689195
Kurtosis47.495246
Mean1.6643357
Median Absolute Deviation (MAD)0
Skewness6.6660542
Sum238
Variance9.6752684
MonotonicityNot monotonic
2023-12-12T23:57:28.709150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 121
84.6%
2 12
 
8.4%
3 4
 
2.8%
4 2
 
1.4%
19 1
 
0.7%
8 1
 
0.7%
18 1
 
0.7%
28 1
 
0.7%
ValueCountFrequency (%)
1 121
84.6%
2 12
 
8.4%
3 4
 
2.8%
4 2
 
1.4%
8 1
 
0.7%
18 1
 
0.7%
19 1
 
0.7%
28 1
 
0.7%
ValueCountFrequency (%)
28 1
 
0.7%
19 1
 
0.7%
18 1
 
0.7%
8 1
 
0.7%
4 2
 
1.4%
3 4
 
2.8%
2 12
 
8.4%
1 121
84.6%

승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)8.9%
Missing64
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean1.8607595
Minimum0
Maximum11
Zeros16
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:28.812803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile6.5
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.4376017
Coefficient of variation (CV)1.3100036
Kurtosis8.0677603
Mean1.8607595
Median Absolute Deviation (MAD)1
Skewness2.7760197
Sum147
Variance5.941902
MonotonicityNot monotonic
2023-12-12T23:57:28.930166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 35
24.5%
0 16
 
11.2%
2 12
 
8.4%
3 6
 
4.2%
4 5
 
3.5%
11 4
 
2.8%
6 1
 
0.7%
(Missing) 64
44.8%
ValueCountFrequency (%)
0 16
11.2%
1 35
24.5%
2 12
 
8.4%
3 6
 
4.2%
4 5
 
3.5%
6 1
 
0.7%
11 4
 
2.8%
ValueCountFrequency (%)
11 4
 
2.8%
6 1
 
0.7%
4 5
 
3.5%
3 6
 
4.2%
2 12
 
8.4%
1 35
24.5%
0 16
11.2%

비상승강기합
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
0
 
5
1
 
4
4
 
4
2
 
2

Length

Max length4
Median length4
Mean length3.6643357
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
88.8%
0 5
 
3.5%
1 4
 
2.8%
4 4
 
2.8%
2 2
 
1.4%
3 1
 
0.7%

Length

2023-12-12T23:57:29.073842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:29.210975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
88.8%
0 5
 
3.5%
1 4
 
2.8%
4 4
 
2.8%
2 2
 
1.4%
3 1
 
0.7%

하수처리시설명
Categorical

Distinct10
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
부패탱크방법
49 
하수종말처리장연결
47 
<NA>
27 
기타오수처리시설
8 
접촉산화방법
6 
Other values (5)
6 

Length

Max length9
Median length8
Mean length6.7482517
Min length4

Unique

Unique4 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
부패탱크방법 49
34.3%
하수종말처리장연결 47
32.9%
<NA> 27
18.9%
기타오수처리시설 8
 
5.6%
접촉산화방법 6
 
4.2%
현수미생물접촉방법 2
 
1.4%
폭기방법 1
 
0.7%
기타단독정화조 1
 
0.7%
접촉폭기방법 1
 
0.7%
단독정화조 1
 
0.7%

Length

2023-12-12T23:57:29.346135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:29.470828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부패탱크방법 49
34.3%
하수종말처리장연결 47
32.9%
na 27
18.9%
기타오수처리시설 8
 
5.6%
접촉산화방법 6
 
4.2%
현수미생물접촉방법 2
 
1.4%
폭기방법 1
 
0.7%
기타단독정화조 1
 
0.7%
접촉폭기방법 1
 
0.7%
단독정화조 1
 
0.7%

하수처리시설용량(세제곱미터)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)69.2%
Missing117
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean13.923269
Minimum0.5
Maximum99.628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:29.605868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.525
Q11.81675
median5
Q312.82
95-th percentile63.675
Maximum99.628
Range99.128
Interquartile range (IQR)11.00325

Descriptive statistics

Standard deviation23.467979
Coefficient of variation (CV)1.6855222
Kurtosis7.5205477
Mean13.923269
Median Absolute Deviation (MAD)4.3
Skewness2.7324984
Sum362.005
Variance550.74605
MonotonicityNot monotonic
2023-12-12T23:57:29.800244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10.0 3
 
2.1%
4.0 3
 
2.1%
6.0 2
 
1.4%
0.8 2
 
1.4%
0.5 2
 
1.4%
13.76 2
 
1.4%
0.6 1
 
0.7%
8.0 1
 
0.7%
13.91 1
 
0.7%
44.7 1
 
0.7%
Other values (8) 8
 
5.6%
(Missing) 117
81.8%
ValueCountFrequency (%)
0.5 2
1.4%
0.6 1
 
0.7%
0.8 2
1.4%
1.2 1
 
0.7%
1.63 1
 
0.7%
2.377 1
 
0.7%
2.84 1
 
0.7%
3.0 1
 
0.7%
4.0 3
2.1%
6.0 2
1.4%
ValueCountFrequency (%)
99.628 1
 
0.7%
70.0 1
 
0.7%
44.7 1
 
0.7%
30.0 1
 
0.7%
13.91 1
 
0.7%
13.76 2
1.4%
10.0 3
2.1%
8.0 1
 
0.7%
6.0 2
1.4%
4.0 3
2.1%

주용도
Categorical

Distinct19
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
단독주택
54 
제1종근린생활시설
31 
제2종근린생활시설
17 
업무시설
6 
교육연구시설
6 
Other values (14)
29 

Length

Max length10
Median length4
Mean length5.9160839
Min length2

Unique

Unique7 ?
Unique (%)4.9%

Sample

1st row제1종근린생활시설
2nd row교육연구시설
3rd row제1종근린생활시설
4th row단독주택
5th row제2종근린생활시설

Common Values

ValueCountFrequency (%)
단독주택 54
37.8%
제1종근린생활시설 31
21.7%
제2종근린생활시설 17
 
11.9%
업무시설 6
 
4.2%
교육연구시설 6
 
4.2%
창고시설 5
 
3.5%
판매시설 5
 
3.5%
공동주택 4
 
2.8%
관광휴게시설 2
 
1.4%
운동시설 2
 
1.4%
Other values (9) 11
 
7.7%

Length

2023-12-12T23:57:29.946145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 54
37.8%
제1종근린생활시설 31
21.7%
제2종근린생활시설 17
 
11.9%
업무시설 6
 
4.2%
교육연구시설 6
 
4.2%
창고시설 5
 
3.5%
판매시설 5
 
3.5%
공동주택 4
 
2.8%
공장 2
 
1.4%
위험물저장및처리시설 2
 
1.4%
Other values (9) 11
 
7.7%

부속용도
Text

MISSING 

Distinct71
Distinct (%)64.0%
Missing32
Missing (%)22.4%
Memory size1.2 KiB
2023-12-12T23:57:30.178094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length10.846847
Min length2

Characters and Unicode

Total characters1204
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)52.3%

Sample

1st row제1,2종근린생활,위락,교육연구시설
2nd row소매점
3rd row제조업소
4th row소매점
5th row소매점
ValueCountFrequency (%)
다가구주택 16
 
10.8%
사무소 13
 
8.8%
소매점 8
 
5.4%
제1,2종근린생활시설 8
 
5.4%
단독주택 6
 
4.1%
제2종근린생활시설 5
 
3.4%
일반음식점 4
 
2.7%
노유자시설 4
 
2.7%
교육연구시설 4
 
2.7%
제2종근린생활시설(사무소 3
 
2.0%
Other values (62) 77
52.0%
2023-12-12T23:57:30.574636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 85
 
7.1%
시 83
 
6.9%
설 83
 
6.9%
생 48
 
4.0%
근 47
 
3.9%
활 45
 
3.7%
린 44
 
3.7%
구 43
 
3.6%
소 41
 
3.4%
종 41
 
3.4%
Other values (91) 644
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 974
80.9%
Other Punctuation 87
 
7.2%
Decimal Number 72
 
6.0%
Space Separator 37
 
3.1%
Close Punctuation 16
 
1.3%
Open Punctuation 16
 
1.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 83
 
8.5%
설 83
 
8.5%
생 48
 
4.9%
근 47
 
4.8%
활 45
 
4.6%
린 44
 
4.5%
구 43
 
4.4%
소 41
 
4.2%
종 41
 
4.2%
제 40
 
4.1%
Other values (78) 459
47.1%
Decimal Number
ValueCountFrequency (%)
2 38
52.8%
1 28
38.9%
7 2
 
2.8%
5 2
 
2.8%
0 1
 
1.4%
3 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 85
97.7%
/ 1
 
1.1%
· 1
 
1.1%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 974
80.9%
Common 230
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 83
 
8.5%
설 83
 
8.5%
생 48
 
4.9%
근 47
 
4.8%
활 45
 
4.6%
린 44
 
4.5%
구 43
 
4.4%
소 41
 
4.2%
종 41
 
4.2%
제 40
 
4.1%
Other values (78) 459
47.1%
Common
ValueCountFrequency (%)
, 85
37.0%
2 38
16.5%
37
16.1%
1 28
 
12.2%
) 16
 
7.0%
( 16
 
7.0%
7 2
 
0.9%
- 2
 
0.9%
5 2
 
0.9%
0 1
 
0.4%
Other values (3) 3
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 974
80.9%
ASCII 229
 
19.0%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 85
37.1%
2 38
16.6%
37
16.2%
1 28
 
12.2%
) 16
 
7.0%
( 16
 
7.0%
7 2
 
0.9%
- 2
 
0.9%
5 2
 
0.9%
0 1
 
0.4%
Other values (2) 2
 
0.9%
Hangul
ValueCountFrequency (%)
시 83
 
8.5%
설 83
 
8.5%
생 48
 
4.9%
근 47
 
4.8%
활 45
 
4.6%
린 44
 
4.5%
구 43
 
4.4%
소 41
 
4.2%
종 41
 
4.2%
제 40
 
4.1%
Other values (78) 459
47.1%
None
ValueCountFrequency (%)
· 1
100.0%

용도지역
Categorical

Distinct14
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
가축사육제한구역
38 
자연녹지지역
23 
제2종일반주거지역
23 
보전관리지역
11 
중심상업지역
10 
Other values (9)
38 

Length

Max length9
Median length8
Mean length7.1468531
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row자연녹지지역
2nd row가축사육제한구역
3rd row생산녹지지역
4th row제2종일반주거지역
5th row계획관리지역

Common Values

ValueCountFrequency (%)
가축사육제한구역 38
26.6%
자연녹지지역 23
16.1%
제2종일반주거지역 23
16.1%
보전관리지역 11
 
7.7%
중심상업지역 10
 
7.0%
준주거지역 8
 
5.6%
일반상업지역 6
 
4.2%
계획관리지역 5
 
3.5%
제1종일반주거지역 5
 
3.5%
제3종일반주거지역 5
 
3.5%
Other values (4) 9
 
6.3%

Length

2023-12-12T23:57:30.742018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가축사육제한구역 38
26.6%
자연녹지지역 23
16.1%
제2종일반주거지역 23
16.1%
보전관리지역 11
 
7.7%
중심상업지역 10
 
7.0%
준주거지역 8
 
5.6%
일반상업지역 6
 
4.2%
계획관리지역 5
 
3.5%
제1종일반주거지역 5
 
3.5%
제3종일반주거지역 5
 
3.5%
Other values (4) 9
 
6.3%

용도지구
Categorical

IMBALANCE 

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
113 
자연취락지구
 
7
시가지경관지구(일반)
 
7
방화지구
 
4
일반미관지구
 
4
Other values (3)
 
8

Length

Max length11
Median length4
Mean length4.6153846
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 113
79.0%
자연취락지구 7
 
4.9%
시가지경관지구(일반) 7
 
4.9%
방화지구 4
 
2.8%
일반미관지구 4
 
2.8%
최저고도지구 4
 
2.8%
집단취락지구 3
 
2.1%
재정비촉진지구 1
 
0.7%

Length

2023-12-12T23:57:30.892453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:31.039545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
79.0%
자연취락지구 7
 
4.9%
시가지경관지구(일반 7
 
4.9%
방화지구 4
 
2.8%
일반미관지구 4
 
2.8%
최저고도지구 4
 
2.8%
집단취락지구 3
 
2.1%
재정비촉진지구 1
 
0.7%

용도구역
Categorical

Distinct9
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
64 
지구단위계획구역
33 
중점경관관리구역
18 
가축사육제한구역
15 
개발제한구역
 
5
Other values (4)
8 

Length

Max length11
Median length9
Mean length6.1888112
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
44.8%
지구단위계획구역 33
23.1%
중점경관관리구역 18
 
12.6%
가축사육제한구역 15
 
10.5%
개발제한구역 5
 
3.5%
제1종지구단위계획구역 4
 
2.8%
상대보호구역 2
 
1.4%
일반주거지역 1
 
0.7%
야생동식물보호구역 1
 
0.7%

Length

2023-12-12T23:57:31.196466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:31.360723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
44.8%
지구단위계획구역 33
23.1%
중점경관관리구역 18
 
12.6%
가축사육제한구역 15
 
10.5%
개발제한구역 5
 
3.5%
제1종지구단위계획구역 4
 
2.8%
상대보호구역 2
 
1.4%
일반주거지역 1
 
0.7%
야생동식물보호구역 1
 
0.7%

자주식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)50.9%
Missing90
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean163.96226
Minimum1
Maximum1902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:31.544863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q3108
95-th percentile1131
Maximum1902
Range1901
Interquartile range (IQR)104

Descriptive statistics

Standard deviation382.89776
Coefficient of variation (CV)2.3352797
Kurtosis9.5146741
Mean163.96226
Median Absolute Deviation (MAD)8
Skewness3.1103477
Sum8690
Variance146610.69
MonotonicityNot monotonic
2023-12-12T23:57:31.691495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4 7
 
4.9%
1131 4
 
2.8%
2 4
 
2.8%
7 4
 
2.8%
1 4
 
2.8%
6 3
 
2.1%
27 2
 
1.4%
189 2
 
1.4%
77 2
 
1.4%
9 2
 
1.4%
Other values (17) 19
 
13.3%
(Missing) 90
62.9%
ValueCountFrequency (%)
1 4
2.8%
2 4
2.8%
4 7
4.9%
5 2
 
1.4%
6 3
2.1%
7 4
2.8%
8 2
 
1.4%
9 2
 
1.4%
10 1
 
0.7%
27 2
 
1.4%
ValueCountFrequency (%)
1902 1
 
0.7%
1131 4
2.8%
215 1
 
0.7%
192 1
 
0.7%
189 2
1.4%
184 1
 
0.7%
175 1
 
0.7%
163 1
 
0.7%
132 1
 
0.7%
108 1
 
0.7%

자주식옥외주차장(대)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)21.8%
Missing65
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean15.551282
Minimum1
Maximum672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:31.813663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile25.55
Maximum672
Range671
Interquartile range (IQR)4

Descriptive statistics

Standard deviation77.170691
Coefficient of variation (CV)4.9623363
Kurtosis70.436236
Mean15.551282
Median Absolute Deviation (MAD)2
Skewness8.2393539
Sum1213
Variance5955.3155
MonotonicityNot monotonic
2023-12-12T23:57:31.959093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 21
 
14.7%
2 14
 
9.8%
5 10
 
7.0%
3 8
 
5.6%
4 7
 
4.9%
6 4
 
2.8%
7 3
 
2.1%
12 2
 
1.4%
672 1
 
0.7%
107 1
 
0.7%
Other values (7) 7
 
4.9%
(Missing) 65
45.5%
ValueCountFrequency (%)
1 21
14.7%
2 14
9.8%
3 8
 
5.6%
4 7
 
4.9%
5 10
7.0%
6 4
 
2.8%
7 3
 
2.1%
8 1
 
0.7%
9 1
 
0.7%
11 1
 
0.7%
ValueCountFrequency (%)
672 1
0.7%
107 1
0.7%
96 1
0.7%
57 1
0.7%
20 1
0.7%
13 1
0.7%
12 2
1.4%
11 1
0.7%
9 1
0.7%
8 1
0.7%

기계식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing136
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean48.285714
Minimum8
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:32.101149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11.6
Q126
median42
Q352
95-th percentile108
Maximum132
Range124
Interquartile range (IQR)26

Descriptive statistics

Standard deviation40.339039
Coefficient of variation (CV)0.83542389
Kurtosis3.8454739
Mean48.285714
Median Absolute Deviation (MAD)10
Skewness1.7567184
Sum338
Variance1627.2381
MonotonicityNot monotonic
2023-12-12T23:57:32.205348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
52 2
 
1.4%
132 1
 
0.7%
20 1
 
0.7%
8 1
 
0.7%
42 1
 
0.7%
32 1
 
0.7%
(Missing) 136
95.1%
ValueCountFrequency (%)
8 1
0.7%
20 1
0.7%
32 1
0.7%
42 1
0.7%
52 2
1.4%
132 1
0.7%
ValueCountFrequency (%)
132 1
0.7%
52 2
1.4%
42 1
0.7%
32 1
0.7%
20 1
0.7%
8 1
0.7%

기계식옥외주차장(대)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
141 
52
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.972028
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row52
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 141
98.6%
52 1
 
0.7%
50 1
 
0.7%

Length

2023-12-12T23:57:32.366172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:32.530606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
98.6%
52 1
 
0.7%
50 1
 
0.7%

인근자주식주차장(대)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
137 
105
 
4
16
 
2

Length

Max length4
Median length4
Mean length3.9440559
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
95.8%
105 4
 
2.8%
16 2
 
1.4%

Length

2023-12-12T23:57:32.661083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:32.817881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
95.8%
105 4
 
2.8%
16 2
 
1.4%

인근기계식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

총주차대수
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)29.0%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean78.224638
Minimum0
Maximum2574
Zeros37
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:32.959057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313.5
95-th percentile205
Maximum2574
Range2574
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation299.56986
Coefficient of variation (CV)3.8296101
Kurtosis40.482475
Mean78.224638
Median Absolute Deviation (MAD)3
Skewness5.9841084
Sum10795
Variance89742.102
MonotonicityNot monotonic
2023-12-12T23:57:33.126947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 37
25.9%
1 15
 
10.5%
2 10
 
7.0%
8 8
 
5.6%
3 8
 
5.6%
11 7
 
4.9%
5 5
 
3.5%
10 4
 
2.8%
1236 4
 
2.8%
6 2
 
1.4%
Other values (30) 38
26.6%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
0 37
25.9%
1 15
10.5%
2 10
 
7.0%
3 8
 
5.6%
4 1
 
0.7%
5 5
 
3.5%
6 2
 
1.4%
7 2
 
1.4%
8 8
 
5.6%
9 2
 
1.4%
ValueCountFrequency (%)
2574 1
 
0.7%
1236 4
2.8%
215 1
 
0.7%
205 2
1.4%
192 1
 
0.7%
189 1
 
0.7%
176 1
 
0.7%
175 1
 
0.7%
133 2
1.4%
114 1
 
0.7%

총주차장면적(제곱미터)
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)37.0%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean350.25857
Minimum0
Maximum6254.36
Zeros49
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:33.293672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25
Q3109.375
95-th percentile2290.6285
Maximum6254.36
Range6254.36
Interquartile range (IQR)109.375

Descriptive statistics

Standard deviation1026.8965
Coefficient of variation (CV)2.9318242
Kurtosis17.612824
Mean350.25857
Median Absolute Deviation (MAD)25
Skewness4.0488232
Sum48335.682
Variance1054516.5
MonotonicityNot monotonic
2023-12-12T23:57:33.452220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 49
34.3%
12.5 12
 
8.4%
100.0 6
 
4.2%
25.0 5
 
3.5%
132.2 4
 
2.8%
23.0 3
 
2.1%
62.5 3
 
2.1%
37.5 3
 
2.1%
119.7 3
 
2.1%
302.4 2
 
1.4%
Other values (41) 48
33.6%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
0.0 49
34.3%
11.5 2
 
1.4%
12.5 12
 
8.4%
23.0 3
 
2.1%
24.0 1
 
0.7%
25.0 5
 
3.5%
28.71 1
 
0.7%
33.0 1
 
0.7%
34.5 2
 
1.4%
35.5 1
 
0.7%
ValueCountFrequency (%)
6254.36 2
1.4%
4000.5 2
1.4%
3753.22 1
0.7%
2568.23 2
1.4%
2241.64 1
0.7%
2235.3 1
0.7%
2224.0 1
0.7%
2037.5 1
0.7%
1075.9 1
0.7%
995.02 1
0.7%

세대수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)75.0%
Missing135
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean63.75
Minimum0
Maximum290
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:33.597047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median19
Q388.75
95-th percentile221.4
Maximum290
Range290
Interquartile range (IQR)88

Descriptive statistics

Standard deviation99.078252
Coefficient of variation (CV)1.5541687
Kurtosis4.6282182
Mean63.75
Median Absolute Deviation (MAD)19
Skewness2.0910621
Sum510
Variance9816.5
MonotonicityNot monotonic
2023-12-12T23:57:33.690217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2
 
1.4%
19 2
 
1.4%
87 1
 
0.7%
1 1
 
0.7%
290 1
 
0.7%
94 1
 
0.7%
(Missing) 135
94.4%
ValueCountFrequency (%)
0 2
1.4%
1 1
0.7%
19 2
1.4%
87 1
0.7%
94 1
0.7%
290 1
0.7%
ValueCountFrequency (%)
290 1
0.7%
94 1
0.7%
87 1
0.7%
19 2
1.4%
1 1
0.7%
0 2
1.4%

호수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing133
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean33.6
Minimum0
Maximum134
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:33.786845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q17.75
median23
Q348.5
95-th percentile98.9
Maximum134
Range134
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation40.593377
Coefficient of variation (CV)1.2081362
Kurtosis4.1295853
Mean33.6
Median Absolute Deviation (MAD)19
Skewness1.9245898
Sum336
Variance1647.8222
MonotonicityNot monotonic
2023-12-12T23:57:33.880962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
56 2
 
1.4%
1 1
 
0.7%
0 1
 
0.7%
21 1
 
0.7%
7 1
 
0.7%
10 1
 
0.7%
134 1
 
0.7%
25 1
 
0.7%
26 1
 
0.7%
(Missing) 133
93.0%
ValueCountFrequency (%)
0 1
0.7%
1 1
0.7%
7 1
0.7%
10 1
0.7%
21 1
0.7%
25 1
0.7%
26 1
0.7%
56 2
1.4%
134 1
0.7%
ValueCountFrequency (%)
134 1
0.7%
56 2
1.4%
26 1
0.7%
25 1
0.7%
21 1
0.7%
10 1
0.7%
7 1
0.7%
1 1
0.7%
0 1
0.7%

가구수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)31.7%
Missing83
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean7.1666667
Minimum0
Maximum26
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:33.988801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q314.25
95-th percentile19
Maximum26
Range26
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation7.3211249
Coefficient of variation (CV)1.0215523
Kurtosis-0.88705406
Mean7.1666667
Median Absolute Deviation (MAD)2
Skewness0.73460568
Sum430
Variance53.59887
MonotonicityNot monotonic
2023-12-12T23:57:34.092001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 23
 
16.1%
2 6
 
4.2%
15 4
 
2.8%
19 4
 
2.8%
11 2
 
1.4%
9 2
 
1.4%
14 2
 
1.4%
4 2
 
1.4%
18 2
 
1.4%
7 2
 
1.4%
Other values (9) 11
 
7.7%
(Missing) 83
58.0%
ValueCountFrequency (%)
0 2
 
1.4%
1 23
16.1%
2 6
 
4.2%
4 2
 
1.4%
6 1
 
0.7%
7 2
 
1.4%
8 1
 
0.7%
9 2
 
1.4%
10 1
 
0.7%
11 2
 
1.4%
ValueCountFrequency (%)
26 1
 
0.7%
20 1
 
0.7%
19 4
2.8%
18 2
1.4%
17 2
1.4%
16 1
 
0.7%
15 4
2.8%
14 2
1.4%
13 1
 
0.7%
11 2
1.4%

주건축물수
Real number (ℝ)

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5174825
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:34.181079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.9
Maximum28
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7162867
Coefficient of variation (CV)1.7899954
Kurtosis71.334529
Mean1.5174825
Median Absolute Deviation (MAD)0
Skewness8.0609851
Sum217
Variance7.3782133
MonotonicityNot monotonic
2023-12-12T23:57:34.298492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 125
87.4%
2 10
 
7.0%
3 2
 
1.4%
4 2
 
1.4%
17 1
 
0.7%
5 1
 
0.7%
8 1
 
0.7%
28 1
 
0.7%
ValueCountFrequency (%)
1 125
87.4%
2 10
 
7.0%
3 2
 
1.4%
4 2
 
1.4%
5 1
 
0.7%
8 1
 
0.7%
17 1
 
0.7%
28 1
 
0.7%
ValueCountFrequency (%)
28 1
 
0.7%
17 1
 
0.7%
8 1
 
0.7%
5 1
 
0.7%
4 2
 
1.4%
3 2
 
1.4%
2 10
 
7.0%
1 125
87.4%

부속건축물수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
1
 
4
0
 
3
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.7762238
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
92.3%
1 4
 
2.8%
0 3
 
2.1%
2 2
 
1.4%
3 1
 
0.7%
10 1
 
0.7%

Length

2023-12-12T23:57:34.413165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:34.519315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
92.3%
1 4
 
2.8%
0 3
 
2.1%
2 2
 
1.4%
3 1
 
0.7%
10 1
 
0.7%

Sample

건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분철거멸실구분허가취소일허가일효력상실일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일준공예정일(사용승인예정일)건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수
0신축2023-건축과-신축신고-23대전광역시 서구 정림동 40-5임야829.029.729.7<NA>3.583.58일반철골구조미취소<NA><NA>2023-10-24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-09-06<NA>105.751<NA><NA>부패탱크방법<NA>제1종근린생활시설<NA>자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
1용도변경2023-건축과-용도변경신고-37대전광역시 서구 둔산동 1498대593.3495.1774789.23<NA>83.46664.43철근콘크리트구조미취소<NA><NA>2023-10-18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-10-05<NA>9240.0511<NA>하수종말처리장연결<NA>교육연구시설제1,2종근린생활,위락,교육연구시설가축사육제한구역<NA>지구단위계획구역<NA>1<NA>52<NA><NA>5366.9<NA><NA><NA>1<NA>
2신축2023-건축과-신축신고-22대전광역시 서구 가수원동 554-2답658.096.9496.94<NA>14.7314.73일반철골구조미취소<NA><NA>2023-10-16<NA><NA>2023-11-062023-11-06<NA><NA><NA><NA><NA>2024-11-302023-08-30<NA>107.951<NA><NA>부패탱크방법<NA>제1종근린생활시설소매점생산녹지지역<NA>중점경관관리구역<NA><NA><NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
3증축2023-건축과-증축신고-24대전광역시 서구 변동 254-216대218.0101.59198.9734.4946.678.1일반철골구조미취소<NA><NA>2023-10-16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-10-04<NA>21<NA>1<NA><NA><NA><NA>단독주택<NA>제2종일반주거지역<NA>중점경관관리구역1<NA><NA><NA><NA><NA>128.71<NA><NA>11<NA>
4신축2023-건축과-신축신고-21대전광역시 서구 평촌동 393-1전652.062.1162.11<NA>9.539.53일반철골구조미취소<NA><NA>2023-10-15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-09-21<NA>107.61<NA><NA>부패탱크방법<NA>제2종근린생활시설제조업소계획관리지역자연취락지구가축사육제한구역<NA><NA><NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
5신축2023-건축과-신축신고-19대전광역시 서구 가수원동 554-1답658.093.2493.24<NA>14.1714.17경량철골구조미취소<NA><NA>2023-10-13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-08-30<NA>105.31<NA><NA>부패탱크방법<NA>제1종근린생활시설소매점생산녹지지역<NA>중점경관관리구역<NA><NA><NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
6신축2023-건축과-신축신고-20대전광역시 서구 가수원동 554답575.093.2493.24<NA>16.2216.22경량철골구조미취소<NA><NA>2023-10-13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-08-30<NA>105.31<NA><NA>부패탱크방법<NA>제1종근린생활시설소매점생산녹지지역<NA>중점경관관리구역<NA><NA><NA><NA><NA><NA>00.0<NA><NA><NA>1<NA>
7증축2023-건축과-협의건축물-12대전광역시 서구 도마동 189-7대165.283.16246.8484.4850.34149.42철근콘크리트구조미취소<NA><NA>2023-10-11<NA><NA>2023-10-272023-10-23<NA><NA><NA><NA><NA>2023-12-302023-07-27<NA>3<NA>11.451<NA><NA>부패탱크방법<NA>제1종근린생활시설지구대제2종일반주거지역시가지경관지구(일반)<NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>1<NA>
8신축2023-건축과-신축신고-18대전광역시 서구 괴정동 94-30대135.781.3481.34<NA>59.9459.94경량철골구조미취소<NA><NA>2023-10-04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-08-11<NA>105.111<NA><NA>하수종말처리장연결<NA>단독주택단독주택가축사육제한구역시가지경관지구(일반)<NA><NA>2<NA><NA><NA><NA>225.0<NA><NA>11<NA>
9증축2023-건축과-증축신고-23대전광역시 서구 도안동 1015대387.5229.67673.19-7.5859.27149.02철근콘크리트구조미취소<NA><NA>2023-09-27<NA><NA>2023-10-052023-10-102023-10-04<NA><NA><NA>2023-10-182023-11-302023-08-312023-10-184115.911<NA>하수종말처리장연결<NA>제1종근린생활시설휴게음식점제1종일반주거지역<NA>제1종지구단위계획구역26<NA><NA><NA><NA>8100.0<NA><NA>81<NA>
건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분철거멸실구분허가취소일허가일효력상실일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일준공예정일(사용승인예정일)건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수
133용도변경2022-공동주택과-용도변경신고-4대전광역시 서구 탄방동 638 외2필지대3185.92214.928037.52<NA>69.522543.0478철근콘크리트구조미취소<NA><NA>2022-07-25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-07-19<NA>12439.651<NA><NA><NA><NA>공동주택공동주택(아파트),판매시설,제2종근린생활시설준주거지역최저고도지구제1종지구단위계획구역<NA><NA><NA><NA><NA><NA><NA><NA>290<NA><NA>1<NA>
134증축2022-건축과-증축신고-22대전광역시 서구 장안동 247-1대962.0181.6181.674.018.8818.88경량철골구조미취소<NA><NA>2022-07-21<NA><NA>2022-07-262022-07-262022-07-26<NA><NA><NA>2022-09-202022-10-262022-06-302022-09-131<NA>3.754<NA><NA>접촉산화방법4.0단독주택다가구주택, 사무소, 소매점보전관리지역<NA><NA><NA>1<NA><NA><NA><NA>112.5<NA><NA>24<NA>
135용도변경2022-건축과-용도변경신고-33대전광역시 서구 도마동 169-10대296.9156.51894.96<NA>52.71245.93<NA>미취소<NA><NA>2022-07-19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-07-12<NA>5118.011<NA><NA><NA>교육연구시설교육연구시설, 제1,2종근린생활시설제3종일반주거지역재정비촉진지구<NA><NA>3<NA><NA><NA><NA>30.0<NA><NA><NA>10
136발코니구조변경2022-공동주택과-발코니구조변경신고-1대전광역시 서구 탄방동 779대1356.2930.8613154.79<NA>68.6374579.7972철근콘크리트구조미취소<NA><NA>2022-07-13<NA><NA>2022-07-142022-07-20<NA><NA><NA><NA><NA>2022-08-282022-07-07<NA>12538.3512<NA>하수종말처리장연결<NA>공동주택아파트, 제1,2종근린생활시설가축사육제한구역<NA>지구단위계획구역108<NA><NA><NA><NA><NA>1080.09426261<NA>
137용도변경2022-건축과-용도변경신고-32대전광역시 서구 갈마동 268-7대301.0180.29515.21<NA>59.9171.17철근콘크리트구조미취소<NA><NA>2022-07-12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-07-05<NA>4<NA>14.9711<NA><NA><NA>단독주택다가구주택(15가구), 제2종근린생활시설(사무소)가축사육제한구역<NA><NA>44<NA><NA><NA><NA>8100.0<NA><NA>151<NA>
138용도변경2022-건축과-용도변경신고-31대전광역시 서구 변동 254-143대223.0132.89168.32<NA>59.5975.48철근콘크리트구조미취소<NA><NA>2022-07-11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-06-27<NA>2<NA>7.8631<NA><NA>부패탱크방법<NA>단독주택<NA>제1종일반주거지역<NA>가축사육제한구역<NA>2<NA><NA><NA><NA>224.0<NA><NA>21<NA>
139신축2022-건축과-신축신고-26대전광역시 서구 흑석동 269-3답597.557.657.6<NA>9.649.64경량철골구조미취소<NA><NA>2022-07-08<NA><NA>2022-09-012022-08-30<NA><NA><NA><NA><NA>2022-12-312022-03-17<NA>104.11<NA><NA>부패탱크방법<NA>제2종근린생활시설사무소자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
140신축2022-건축과-신축신고-27대전광역시 서구 흑석동 269-3답814.457.657.6<NA>7.077.07경량철골구조미취소<NA><NA>2022-07-08<NA><NA>2022-09-012022-08-30<NA><NA><NA><NA><NA>2022-12-312022-03-17<NA>104.11<NA><NA>단독정화조<NA>제2종근린생활시설사무소자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
141용도변경2022-건축과-용도변경신고-30대전광역시 서구 내동 8-3대538.5311.961262.54<NA>57.9313176.0836<NA>미취소<NA><NA>2022-07-06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-06-30<NA>4111.5610<NA><NA><NA>제2종근린생활시설<NA>가축사육제한구역시가지경관지구(일반)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10
142용도변경2022-건축과-용도변경신고-29대전광역시 서구 둔산동 1362대2412.81892.6321032.36<NA>78.4412607.9431<NA>미취소<NA><NA>2022-07-05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-06-23<NA>8337.1514<NA>하수종말처리장연결<NA>판매시설<NA>중심상업지역<NA>지구단위계획구역1751<NA><NA><NA><NA>1762224.0<NA><NA><NA>1<NA>